. . . . "" . "Earth sciences" . . "10.13039/501100000780" . "European Commission" . . "10.13039/501100000781" . "European Commission" . . "Elisa Trasatti" . . . "https://reliance-das.adamplatform.eu/opensearch/datasets?datasetId=EU_CAMS_SURFACE_PM10_G" . . "2021-11-08 16:30:52.813503+00:00" . "2021-11-08 17:06:22.193615+00:00" . . "https://reliance-das.adamplatform.eu/opensearch/datasets?datasetId=EU_CAMS_SURFACE_PM10_G" . "2021-11-08 16:30:52.813503+00:00" . . . . "https://reliance-das.adamplatform.eu/opensearch/search?datasetId=EU_CAMS_SURFACE_PM10_G&startDate=2018-09-01&endDate=2018-09-01" . . "2021-11-08 16:31:25.130170+00:00" . "2021-11-08 17:06:22.296703+00:00" . . "https://reliance-das.adamplatform.eu/opensearch/search?datasetId=EU_CAMS_SURFACE_PM10_G&startDate=2018-09-01&endDate=2018-09-01" . "2021-11-08 16:31:25.130170+00:00" . . . . "https://reliance-das.adamplatform.eu/wcs?service=WCS&Request=GetCoverage&CoverageID=EU_CAMS_SURFACE_PM10_G&subset=unix(2018-09-01,2018-09-01)&format=image/tiff" . . "2021-11-08 16:31:09.076275+00:00" . "2021-11-08 17:06:22.491861+00:00" . . "https://reliance-das.adamplatform.eu/wcs?service=WCS&Request=GetCoverage&CoverageID=EU_CAMS_SURFACE_PM10_G&subset=unix(2018-09-01,2018-09-01)&format=image/tiff" . "2021-11-08 16:31:09.076275+00:00" . . . . "101017501" . "RELIANCE" . "Research Lifecycle Management for Earth Science Communities and Copernicus Users" . . . "101017502" . "RELIANCE" . "Research Lifecycle Management for Earth Science Communities and Copernicus Users" . . "POINT (38.0 38.0)" . . . . . "5926d4c9-986f-42f2-a840-79ae265f653f" . "POINT (38.0 38.0)" . . "38.0" . "38.0" . "POINT (38.0 38.0)" . . "False" . . "2021-11-08 17:06:28.738078+00:00" . . . . . . "79418"^^ . "https://api.rohub.org/api/ros/bcb5cdba-0605-4602-bd60-b59f2701e05b/crate/download/" . . . . "2021-11-08 15:12:22.689370+00:00" . "2025-10-16 10:35:19.041970+00:00" . "2021-11-08 15:12:22.689370+00:00" . "This Research Object demonstrate how to compute monthly map of PM10 over your country - modified" . "application/ld+json" . . . . . . . . . . "https://w3id.org/ro-id/bcb5cdba-0605-4602-bd60-b59f2701e05b" . . "8th November - Copernicus Atmosphere Monitoring Service Data Cube Research Object - snapshot" . "MANUAL" . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Jose Perez, and Elisa Trasatti. \"8th November - Copernicus Atmosphere Monitoring Service Data Cube Research Object - snapshot.\" ROHub. Nov 08 ,2021. https://doi.org/10.24424/1k12-x394." . "ICHB-PAS" . . . "Jose Perez" . . "PSNC" . . . . "73394"^^ . "https://api.rohub.org/api/resources/1f611f7e-a4b7-45de-be8e-d6f0e39d2fde/download/" . . "2021-11-08 16:30:06.553639+00:00" . "2021-11-08 17:06:22.592157+00:00" . "image/png" . . "flow-dcro.png" . "2021-11-08 16:30:06.553639+00:00" . . . "Daily PM10 concentration for 1st September 2018 over Europe" . "Daily PM10 concentration" . . . "This dataset provides daily air quality analyses and forecasts for Europe.\n\nCAMS produces specific daily air quality analyses and forecasts for the European domain at significantly higher spatial resolution (0.1 degrees, approx. 10km) than is available from the global analyses and forecasts. The production is based on an ensemble of nine air quality forecasting systems across Europe. A median ensemble is calculated from individual outputs, since ensemble products yield on average better performance than the individual model products. The spread between the nine models are used to provide an estimate of the forecast uncertainty. The analysis combines model data with observations provided by the European Environment Agency (EEA) into a complete and consistent dataset using various data assimilation techniques depending upon the air-quality forecasting system used. In parallel, air quality forecasts are produced once a day for the next four days. Both the analysis and the forecast are available at hourly time steps at seven height levels.\n\nNote that only nitrogen monoxide, nitrogen dioxide, sulphur dioxide, ozone, PM2.5, PM10 and dust are regularly validated against in situ observations, and therefore forecasts of all other variables are unvalidated and should be considered experimental." . "EU_CAMS_SURFACE_PM10_G" . . . "Flow to compute monthly map" . . . "Jupyter Notebook for discovering, accessing and processing RELIANCE data cube, and creating a Research Object with results, and finally publish it in Zenodo" . "Jupter Notebook of CAMS European air quality analysis from Copernicus Atmosphere Monitoring with RELIANCE services" . . . "List of hourly PM10 concentration data for September 1st 2018 over Europe" . "Index of daily PM10 concentration for September 1st 2018" . . . . . . "research object" . . "83.11557788944724" . "82.7" . "map" . . "17.05639614855571" . "12.4" . "PM10" . . "13.541666666666666" . "13.0" . "Copernicus Atmosphere Monitoring Service" . . "8.229166666666666" . "7.9" . "object" . . "25.208333333333332" . "24.2" . "Nov-8" . . "research" . . "31.145833333333332" . "29.9" . "data cube research object" . . "1.0050251256281406" . "1.0" . "8th November - Copernicus Atmosphere Monitoring Service Data Cube Research Object - snapshot." . . "30.330330330330334" . "30.3" . "aim" . . "31.499312242090785" . "22.9" . "country" . . "8.541666666666666" . "8.2" . "earth sciences" . . "100.0" . "0.8168788552284241" . "atmospheric sciences" . . "100.0" . "0.8168788552284241" . "research" . . "39.61485557083906" . "28.8" . "map" . . "13.333333333333334" . "12.8" . "This Research Object demonstrate how to compute monthly map of PM10 over your country - modified" . . "69.66966966966967" . "69.6" . "country" . . "11.829436038514443" . "8.6" . "monthly map" . . "6.231155778894473" . "6.2" . "map of PM10" . . "9.246231155778894" . "9.2" . "astronautics" . . "100.0" . "0.3785407543182373" . "astronautics (general)" . . "100.0" . "0.3785407543182373" . "data cube" . . "0.4020100502512563" . "0.4" . . "https://zenodo.org/record/5554786#.YYlWo9nMI-Q" . . "2021-11-08 16:59:14.401521+00:00" . "2021-11-08 17:06:22.390417+00:00" . . "https://zenodo.org/record/5554786#.YYlWo9nMI-Q" . "2021-11-08 16:59:14.401521+00:00" . . . "Raul Palma" . . "service-account-enrichment" . . . "2026-03-03T16:45:16.091+01:00"^^ . . . . "8th November - Copernicus Atmosphere Monitoring Service Data Cube Research Object - snapshot" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "vWJYHWdfriV0JPgsae6heERFErNCe8jLBSZly8n7b2+vjxzihKSrvDHphrQ2t3YHQE/eizq0nhrPnObE5HBXzCz8cVpnysBCuzkAdsaI4QZ4c4kxMqoD7eOBoj15W4VydMFjneP3jO8gMHv7UZ0QP5+NtwTNB26YLR0PcHW/twV6vjHD9rnJ+nCv5HW3tQpXVGw9BQmQi7Jl1v+m7IE5t685++ymr+yG6Dpd++QxjRSavpkbG1sAdZOUG4HTnNn7w+mYUAGmlKtUoHhqjxiCmYZa3i2FzGUeFyxv9CVZByR2mgFV4YSLFMLgeFYw2nwbPZdFJQnysG0NW9Gd06gwyw==" . . . . . . . "" . "Earth sciences" . . 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"service-account-enrichment" . . . . . "272345"^^ . "https://api.rohub.org/api/ros/d108d8e6-fe96-4823-a63c-e4aab15b6bce/crate/download/" . . "2021-11-08 19:54:44.999207+00:00" . "2025-03-05 00:51:28.974019+00:00" . "2021-11-08 19:54:44.999207+00:00" . "This Research Object aggregates all the resourced used during the EOSC-Future Demo by RELIANCE, which consisted mostly on use of demonstrate the use of ADAM-API and RoHUB-API from Python Jupyter notebooks." . "application/ld+json" . . . . . . . . "https://w3id.org/ro-id/d108d8e6-fe96-4823-a63c-e4aab15b6bce" . . "EOSC-Future Demo by RELIANCE" . "MANUAL" . "notebook" . "reliance" . "use" . "earth sciences" . "ADAM-API" . "Research Object" . "RoHUB-API" . "notebook" . "reliance" . "use" . "geosciences" . "EOSC-Future Demo by reliance" . "Python Jupyter notebook" . "RoHUB-API from Python Jupyter notebook" . "demonstrate the use" . "use of ADAM-API" . "EOSC-Future Demo by RELIANCE." . "This Research Object aggregates all the resourced used during the EOSC-Future Demo by RELIANCE, which consisted mostly on use of demonstrate the use of ADAM-API and RoHUB-API from Python Jupyter notebooks." . "https://w3id.org/ro-id/d108d8e6-fe96-4823-a63c-e4aab15b6bce/1d49254e-b4a9-4606-a1f4-9130d7c8a6ad" . . . . . . "Anne Foilloux. \"EOSC-Future Demo by RELIANCE.\" ROHub. Nov 08 ,2021. https://w3id.org/ro-id/d108d8e6-fe96-4823-a63c-e4aab15b6bce." . . "https://box.pionier.net.pl/f/9f34f702c93e4d65a26d/?dl=1" . . "2021-11-08 20:33:13.025889+00:00" . "2021-11-08 20:33:13.026410+00:00" . "This is not the real demo itself; it was recorded separately." . . "Demo video recording" . "2021-11-08 20:33:13.025889+00:00" . . . . "10.24424/x6rx-dj19" . . "https://github.com/NordicESMhub/RELIANCE/blob/main/demo-eosc-future/RELIANCE_v0.2-France.ipynb" . . "2021-11-08 20:27:19.941634+00:00" . "2021-11-08 20:52:39.256476+00:00" . "This notebook shows how to discover and access the Copernicus Atmosphere Monitoring products available in the RELIANCE datacube resources and how to create an associated research object and publish it in Zenodo" . . "Jupyter Notebook for using CAMS European air quality analysis over France from Copernicus Atmosphere Monitoring with RELIANCE services" . "2021-11-08 20:27:19.941634+00:00" . . . . . "234819"^^ . "https://api.rohub.org/api/resources/a6cdef08-1e24-4039-ba74-69ba3b0eb209/download/" . . "2021-11-08 20:12:38.036268+00:00" . "2021-11-08 20:12:38.036730+00:00" . "image/png" . . "User journeys across RIs via the EOSC" . "2021-11-08 20:12:38.036268+00:00" . . . . . "https://github.com/NordicESMhub/RELIANCE/blob/main/demo-eosc-future/RELIANCE-Datacube-featuring-EOSC_v0.2.ipynb" . . "2021-11-08 20:24:02.170297+00:00" . "2021-11-08 20:24:02.170862+00:00" . "This notebook shows how to discover and access the Copernicus Atmosphere Monitoring products available in the RELIANCE datacube resources" . . "Jupyter Notebook for using CAMS European air quality analysis from Copernicus Atmosphere Monitoring with RELIANCE services" . "2021-11-08 20:24:02.170297+00:00" . . . . . "https://github.com/NordicESMhub/RELIANCE/blob/main/demo-eosc-future/README.md" . . "2021-11-08 20:18:44.130489+00:00" . "2021-11-08 20:18:44.130946+00:00" . "text/markdown" . . "README" . "2021-11-08 20:18:44.130489+00:00" . . . . "https://w3id.org/ro-id-dev/2aec1040-82ee-4107-9394-d72a24c9834a" . . "2021-11-08 20:31:18.830175+00:00" . "2021-11-08 20:31:18.830716+00:00" . "Research Object created during the demo" . . "Copernicus Atmosphere Monitoring Service Code Research Object - snapshot" . "2021-11-08 20:31:18.830175+00:00" . . . . . "42997"^^ . "https://api.rohub.org/api/resources/f0d0aac8-97a6-4521-a936-bd19710845a8/download/" . . "2021-11-08 20:35:55.504415+00:00" . "2021-11-08 20:35:55.505100+00:00" . "application/json" . . "France geometry" . "2021-11-08 20:35:55.504415+00:00" . . . . . . "Anne Fouilloux" . . "Raul Palma" . . . "2026-03-03T16:45:14.515+01:00"^^ . . . . "EOSC-Future Demo by RELIANCE" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . 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"https://w3id.org/ro-id/9e533d0d-b1de-4b0d-9dd8-14d136aacea5" . . "Analysis of MOD_Aqua mass concentration chlorophyll concentration in sea water" . "MANUAL" . . . . . . "https://w3id.org/ro-id/0db12483-1d72-4ec5-8f43-7244a0ef5cb5" . "https://w3id.org/ro-id/3e602429-165b-4c38-821b-b185c2d19566" . "https://w3id.org/ro-id/95d3e2f1-2706-446e-a12f-00e5f22e43aa" . "https://w3id.org/ro-id/a6cca92d-f385-4230-a0e1-881e29db8601" . "https://w3id.org/ro-id/34fd419d-c014-4140-b4a8-92a58fe19b07" . "https://w3id.org/ro-id/b925e277-dafb-48da-b69b-443ee492e971" . "https://w3id.org/ro-id/02d44787-a55c-4dc5-8968-38360eb4712c" . "https://w3id.org/ro-id/033fe89c-7935-4136-94ab-bc6b8e4631fb" . "https://w3id.org/ro-id/2280c53a-ef9b-4fd6-ad25-331b51fd21ce" . "https://w3id.org/ro-id/9f1673cc-ed44-43c0-a513-13baff083467" . "https://w3id.org/ro-id/bb654c5f-afb3-4284-a3ae-7e0eada02b24" . "https://w3id.org/ro-id/c9755e58-000b-4ff3-9ac0-e5c8a600f8ee" . "https://w3id.org/ro-id/e5495369-d48b-4536-bee2-676a5ed66a7f" . "https://w3id.org/ro-id/549fc843-cefc-4f70-ae2f-6e4bd6397645" . "https://w3id.org/ro-id/7cbd7a86-f1b1-4244-8b15-00af8d6c53fe" . "https://w3id.org/ro-id/0140bc8c-4555-4103-acf5-334ab798e827" . "https://w3id.org/ro-id/d8454f8f-1581-4f2a-b45c-7cef3a7285e8" . "https://w3id.org/ro-id/f0492ea2-a97b-4c28-837a-82528d4fb014" . "https://w3id.org/ro-id/ff180a79-e2a8-4156-bdd5-aeaaefc1d8b9" . "https://w3id.org/ro-id/297b7d28-5cbd-49ba-b01b-ecf37bd32a05" . "https://w3id.org/ro-id/30408fdd-52d2-41a1-b306-962f6bf9e3c3" . "Anne Foilloux, and Anne Foilloux. \"Analysis of MOD_Aqua mass concentration chlorophyll concentration in sea water.\" ROHub. Nov 08 ,2021. https://w3id.org/ro-id/9e533d0d-b1de-4b0d-9dd8-14d136aacea5." . . "106111"^^ . "https://api.rohub.org/api/resources/1be16907-9d03-456d-a2ec-db11e3a8af2f/download/" . . "2021-11-08 21:08:02.599866+00:00" . "2021-11-08 21:08:02.600559+00:00" . "image/png" . . 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"2021-11-09 15:51:59.534956+00:00" . . . "This dataset provides daily air quality analyses and forecasts for Europe.\n\nCAMS produces specific daily air quality analyses and forecasts for the European domain at significantly higher spatial resolution (0.1 degrees, approx. 10km) than is available from the global analyses and forecasts. The production is based on an ensemble of nine air quality forecasting systems across Europe. A median ensemble is calculated from individual outputs, since ensemble products yield on average better performance than the individual model products. The spread between the nine models are used to provide an estimate of the forecast uncertainty. The analysis combines model data with observations provided by the European Environment Agency (EEA) into a complete and consistent dataset using various data assimilation techniques depending upon the air-quality forecasting system used. 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"This dataset provides daily air quality analyses and forecasts for Europe.\n\nCAMS produces specific daily air quality analyses and forecasts for the European domain at significantly higher spatial resolution (0.1 degrees, approx. 10km) than is available from the global analyses and forecasts. The production is based on an ensemble of nine air quality forecasting systems across Europe. A median ensemble is calculated from individual outputs, since ensemble products yield on average better performance than the individual model products. The spread between the nine models are used to provide an estimate of the forecast uncertainty. The analysis combines model data with observations provided by the European Environment Agency (EEA) into a complete and consistent dataset using various data assimilation techniques depending upon the air-quality forecasting system used. In parallel, air quality forecasts are produced once a day for the next four days. Both the analysis and the forecast are available at hourly time steps at seven height levels.\n\nNote that only nitrogen monoxide, nitrogen dioxide, sulphur dioxide, ozone, PM2.5, PM10 and dust are regularly validated against in situ observations, and therefore forecasts of all other variables are unvalidated and should be considered experimental." . "EU_CAMS_SURFACE_PM10_G" . . . . "https://reliance-das.adamplatform.eu/opensearch/search?datasetId=EU_CAMS_SURFACE_PM10_G&startDate=2018-09-01&endDate=2018-09-01" . . "2021-11-09 15:51:59.534956+00:00" . "2021-11-09 16:38:44.915292+00:00" . . "https://reliance-das.adamplatform.eu/opensearch/search?datasetId=EU_CAMS_SURFACE_PM10_G&startDate=2018-09-01&endDate=2018-09-01" . "2021-11-09 15:51:59.534956+00:00" . . . "Flow to compute monthly map" . . . "Daily PM10 concentration for 1st September 2018 over Europe" . "Daily PM10 concentration" . . . 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"https://api.rohub.org/api/resources/2154fe68-4d54-46a3-9c09-1addfb73e2a0/download/" . . "2021-11-09 21:43:52.579546+00:00" . "2021-11-09 21:43:52.580211+00:00" . "image/png" . . "1D and 2D probability distributions of the parameters of the volcanic source at Campi Flegrei" . "2021-11-09 21:43:52.579546+00:00" . . . . . "244961"^^ . "https://api.rohub.org/api/resources/3234fc63-64bf-4b38-8950-f334180b48db/download/" . . "2021-11-09 21:44:00.059337+00:00" . "2021-11-09 21:44:00.059801+00:00" . "image/png" . . "Data - Model - Residuals with InSAR data in ascending orbit" . "2021-11-09 21:44:00.059337+00:00" . . . . . "933718"^^ . "https://api.rohub.org/api/resources/3d610ae3-a80c-4d50-b8bc-aea6117d052e/download/" . . "2021-11-09 21:43:34.309463+00:00" . "2021-11-09 21:43:34.310236+00:00" . "Jupyter Notebook for running the VSM code with geodetic data in RELIANCE" . . "VSM test with magmatic point-source" . "2021-11-09 21:43:34.309463+00:00" . . . . . "211879"^^ . 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"Campi Flegrei Caldera (Italy) 2011-2013 deformations from InSAR and GPS and related modelling" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "vF1+yWxUOJ2kketGv0wcWZNTqdijWWO3+uYSDtmdq4ygvRMurAQoPLB//hv5AmghDLXG67Ir2/ag3n5EyD/2BXi0dbMZaE4q01sr7mh+C+IDup+BKujGg2z7ltpceQxsY5vygXbSOVrAtc0kYFB9o0CLdIsBUdpjr924+IfzFopO51s7cs7OcHNL2bcBRyJmAKGEYjtOO98jdUc7u2gUeSXmhIWSIOWdpuH5bZGCryQpPoZnjbdZEhp3JsCrCIhtIEepid8IiEdxJGIfuw2eb6EAbQBxtjj6dPEc247/llUw9SQtAqFPLk3fDZlKEP32pfqB92hyiXbpx+qpvyyIGg==" . . . . . . . "" . "Earth sciences" . . . "related modelling" . . "Campi Flegrei Caldera" . . "reliance-jupyter of the Adam platform" . . 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"https://api.rohub.org/api/resources/aeb42f8f-d37d-46a8-a7e2-f5705b56064f/download/" . . "2021-11-10 14:10:58.826126+00:00" . "2021-11-10 14:10:58.826667+00:00" . "image/png" . . "Data - Model - Residuals with InSAR ascending data" . "2021-11-10 14:10:58.826126+00:00" . . . . . "135022"^^ . "https://api.rohub.org/api/resources/b3ebf83b-498f-4e98-b68f-55d882b0bbce/download/" . . "2021-11-10 14:11:12.991749+00:00" . "2021-11-10 14:11:12.992268+00:00" . "image/png" . . "Data - Model - Residuals with InSAR data in descending orbit" . "2021-11-10 14:11:12.991749+00:00" . . . . . "762325"^^ . "https://api.rohub.org/api/resources/f6dd8b49-579f-4a2e-9ddb-14644a615353/download/" . . "2021-11-10 14:10:03.076073+00:00" . "2021-11-10 14:10:03.076580+00:00" . "Jupyter Notebook for running the VSM code with geodetic data in RELIANCE" . . "Notebook with the modelling of the subsidence" . "2021-11-10 14:10:03.076073+00:00" . . . . . "127177"^^ . 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It contains results from the run of the VSM code, related to the modelling of the inflation phase at Santorni during 2011-2012." . "application/ld+json" . . . . . . . . "https://w3id.org/ro-id/09d35670-c07e-41f2-94f9-c58119e33b60" . . "Modelling of the 2011-2012 inflation at Santorini (Greece) detected by remote sensing and GPS data" . "MANUAL" . "https://w3id.org/ro-id/09d35670-c07e-41f2-94f9-c58119e33b60/1e8a8a9d-e38a-4c27-9710-128d96850457" . . . . . . "Trasatti, Elisa. \"Modelling of the 2011-2012 inflation at Santorini (Greece) detected by remote sensing and GPS data.\" ROHub. Nov 10 ,2021. https://w3id.org/ro-id/09d35670-c07e-41f2-94f9-c58119e33b60." . . "126802"^^ . "https://api.rohub.org/api/resources/3e6bed52-f06d-435a-aef4-6da2af43bbcc/download/" . . "2021-11-10 14:46:57.398712+00:00" . "2021-11-10 14:46:57.399208+00:00" . "image/png" . . "Parameters vs sampling" . "2021-11-10 14:46:57.398712+00:00" . . . . . "850211"^^ . 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"This dataset provides daily air quality analyses and forecasts for Europe.\n\nCAMS produces specific daily air quality analyses and forecasts for the European domain at significantly higher spatial resolution (0.1 degrees, approx. 10km) than is available from the global analyses and forecasts. The production is based on an ensemble of nine air quality forecasting systems across Europe. A median ensemble is calculated from individual outputs, since ensemble products yield on average better performance than the individual model products. The spread between the nine models are used to provide an estimate of the forecast uncertainty. The analysis combines model data with observations provided by the European Environment Agency (EEA) into a complete and consistent dataset using various data assimilation techniques depending upon the air-quality forecasting system used. In parallel, air quality forecasts are produced once a day for the next four days. Both the analysis and the forecast are available at hourly time steps at seven height levels.\n\nNote that only nitrogen monoxide, nitrogen dioxide, sulphur dioxide, ozone, PM2.5, PM10 and dust are regularly validated against in situ observations, and therefore forecasts of all other variables are unvalidated and should be considered experimental." . "EU_CAMS_SURFACE_PM10_G" . . . . "73394"^^ . "https://api.rohub.org/api/resources/7f087685-b1b1-42dc-90b0-ee6b56b2ab75/download/" . . "2021-11-09 15:51:45.742090+00:00" . "2021-11-10 19:38:07.580119+00:00" . "image/png" . . "flow-dcro.png" . "2021-11-09 15:51:45.742090+00:00" . . . "Flow to compute monthly map" . . . . "https://reliance-das.adamplatform.eu/opensearch/datasets?datasetId=EU_CAMS_SURFACE_PM10_G" . . "2021-11-09 15:51:51.850517+00:00" . "2021-11-10 19:38:07.439709+00:00" . . "https://reliance-das.adamplatform.eu/opensearch/datasets?datasetId=EU_CAMS_SURFACE_PM10_G" . "2021-11-09 15:51:51.850517+00:00" . . . "Daily PM10 concentration for 1st September 2018 over Europe" . "Daily PM10 concentration" . . . . "https://reliance-das.adamplatform.eu/opensearch/search?datasetId=EU_CAMS_SURFACE_PM10_G&startDate=2018-09-01&endDate=2018-09-01" . . "2021-11-09 15:51:59.534956+00:00" . "2021-11-10 19:38:07.476563+00:00" . . "https://reliance-das.adamplatform.eu/opensearch/search?datasetId=EU_CAMS_SURFACE_PM10_G&startDate=2018-09-01&endDate=2018-09-01" . "2021-11-09 15:51:59.534956+00:00" . . . . "https://reliance-das.adamplatform.eu/wcs?service=WCS&Request=GetCoverage&CoverageID=EU_CAMS_SURFACE_PM10_G&subset=unix(2018-09-01,2018-09-01)&format=image/tiff" . . "2021-11-09 15:51:56.143768+00:00" . "2021-11-10 19:38:07.545500+00:00" . . "https://reliance-das.adamplatform.eu/wcs?service=WCS&Request=GetCoverage&CoverageID=EU_CAMS_SURFACE_PM10_G&subset=unix(2018-09-01,2018-09-01)&format=image/tiff" . "2021-11-09 15:51:56.143768+00:00" . . . "Jupyter Notebook for discovering, accessing and processing RELIANCE data cube, and creating a Research Object with results, and finally publish it in Zenodo" . "Jupter Notebook of CAMS European air quality analysis from Copernicus Atmosphere Monitoring with RELIANCE services" . . . . . . "Copernicus Atmosphere Monitoring Service" . . "8.229166666666666" . "7.9" . "data cube" . . "0.4020100502512563" . "0.4" . "monthly map" . . "6.231155778894473" . "6.2" . "False" . "https://w3id.org/ro-id/7740459a-b9fc-411b-88af-763a0de9d9b1" . "2021-11-10 12:04:39.530811+00:00" . "https://w3id.org/ro-id/users/rpalma%40man.poznan.pl" . . . "object" . . "25.208333333333332" . "24.2" . "9th November - Copernicus Atmosphere Monitoring Service Data Cube Research Object - snapshot." . . "30.330330330330334" . "30.3" . "Nov-9" . . "aim" . . "31.499312242090785" . "22.9" . "research object" . . "83.11557788944724" . "82.7" . "PM10" . . "13.541666666666666" . "13.0" . "Raul Palma" . . . "2026-03-03T16:44:50.777+01:00"^^ . . . . "9th November - Copernicus Atmosphere Monitoring Service Data Cube Research Object - snapshot" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "Coh5bK5L4iWtxDNgHWm8S3yCyZmWsVzFlhZi0KHm3ehjjic6Fs29Q3G+lzU22TSyT8aZ6cJGOsgOcj2qWRjCKpYj16VBpFwNd3XMpaV9jn6PtZumP+RQPABgKNUNiYFajrklpXND9HVSN936Iu3zSv96bgljuaTcesj7RCInk3DqSy+tOVJdNozDV/sSjWh97bGk2eyGHQYBnwNRNxBnksIECPxqf7ym7aI8rODzr7y6w4f7f15AUpp5Kp1SSnjQLELTHcOfAFFtvy3J7Jnz24vk575UyOAnKKK65oGA4HEpDG6+CPGF0NBseW/Tx8zkQ9m7pVnEueG1Q75kcg94hA==" . . . . . . . "" . "Earth sciences" . . . "api Ocean Color Data" . . "max value" . . "research" . . 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"MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "javHZKO75ON8/UhoJyajZ4b32CF0vyUqeGX8Yj8bsj2w+80segNhbtvXRAfemkfK5rfd2xO1OxEx1j9rBG5hSBlxyTf6tRQIleNZaYZmQvsDly2JIXnFBTshF7axoZfnA27fNkOYJ2d8c+jzisyosl7c7kDXq6DuVGpcbv4uGDfGbEu4JcIcAy2nQBct/TPgSawcYQODS3Y3hxRdK8KDi/wb4SyfLV9VuxDBCfq635WYuMPeu5LF9ElY0JijOGPxyz1RJvY38c9MvNWQBa9ra3/aDzhBNBuEYmmvxGNfMhyzVVTbDjEnfmeaPHWuIwjemXdvUCx0OXbnlM9JJqO/Tw==" . . . . . . . "" . "Earth sciences" . . . "api Ocean Color Data" . . "max value" . . "research" . . "maximum" . . "value" . . "resolution" . . "aim" . . "minim" . . "rohub api Ocean Color Data" . "service-account-enrichment" . . . . "2241416"^^ . "https://api.rohub.org/api/ros/bc628c46-d12a-469d-be4b-81769889d1c8/crate/download/" . . "2021-11-15 13:33:12.823393+00:00" . "2025-03-05 00:52:28.430114+00:00" . "2021-11-15 13:33:12.823393+00:00" . "Ocean Color Data: Modis-aqua_chl-a (yearly) - time range: 2002-07-04T00:40:05Z/2018-01-01T00:00:01Z - min/max Value: 0/20 - DataType: Float32 - Resolution: 0 -" . "application/ld+json" . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "https://w3id.org/ro-id/bc628c46-d12a-469d-be4b-81769889d1c8" . . "How to create a Research Object using adamapi and rohub api" . "MANUAL" . . . . "Mantovani, Simone. \"How to create a Research Object using adamapi and rohub api.\" ROHub. Nov 15 ,2021. https://w3id.org/ro-id/bc628c46-d12a-469d-be4b-81769889d1c8." . . "80809825"^^ . "https://api.rohub.org/api/resources/0d656fc1-1336-4bbf-80a0-84a4e2748e70/download/" . . "2021-11-15 13:38:48.882003+00:00" . "2021-11-15 13:38:48.882669+00:00" . . "60e861576dfebc0806d14bcd" . "2021-11-15 13:38:48.882003+00:00" . . . . . "1114131"^^ . "https://api.rohub.org/api/resources/11d1f574-05ca-4725-8738-d698516fbe0c/download/" . . "2021-11-15 13:36:57.625498+00:00" . "2021-11-15 13:36:57.625931+00:00" . . "6174373a961c231550d5dd30" . "2021-11-15 13:36:57.625498+00:00" . . . . . "1158805"^^ . "https://api.rohub.org/api/resources/161dcecf-7ccb-4615-8b37-824b8bf7a2f6/download/" . . "2021-11-15 13:36:53.864095+00:00" . "2021-11-15 13:36:53.865068+00:00" . . "6174373a961c231550d5dd21" . "2021-11-15 13:36:53.864095+00:00" . . . . . "1161817"^^ . "https://api.rohub.org/api/resources/28a8ca52-16df-4778-a691-83052f443507/download/" . . "2021-11-15 13:36:47.922391+00:00" . "2021-11-15 13:36:47.923137+00:00" . . "6174373a961c231550d5dcdf" . "2021-11-15 13:36:47.922391+00:00" . . . . . "75004601"^^ . "https://api.rohub.org/api/resources/2e7a4609-d4a6-4659-a54f-351da2fac836/download/" . . "2021-11-15 13:37:42.049650+00:00" . "2021-11-15 13:37:42.050212+00:00" . . 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"https://api.rohub.org/api/resources/a9b3f213-7e07-48cc-a7e1-fb3b8f4819ce/download/" . . "2021-11-15 13:37:19.811718+00:00" . "2021-11-15 13:37:19.812232+00:00" . . "6174373b961c231550d5ddbe" . "2021-11-15 13:37:19.811718+00:00" . . . . . "1161353"^^ . "https://api.rohub.org/api/resources/ae8b3654-b53e-4443-9918-9abddb090b1a/download/" . . "2021-11-15 13:36:59.606969+00:00" . "2021-11-15 13:36:59.607554+00:00" . . "6174373a961c231550d5dd46" . "2021-11-15 13:36:59.606969+00:00" . . . . . "97399037"^^ . "https://api.rohub.org/api/resources/b6135108-95c8-4861-8051-a24b4842bacb/download/" . . "2021-11-15 13:40:29.340568+00:00" . "2021-11-15 13:40:29.341360+00:00" . . "60e844116dfebc0806c6b2de" . "2021-11-15 13:40:29.340568+00:00" . . . . . "1128583"^^ . "https://api.rohub.org/api/resources/c3880e18-1d48-4e9f-ac08-a5936e427064/download/" . . "2021-11-15 13:37:18.007258+00:00" . "2021-11-15 13:37:18.007784+00:00" . . "6174373b961c231550d5ddbb" . "2021-11-15 13:37:18.007258+00:00" . . . . . 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"2021-11-15 13:40:00.744334+00:00" . . . . . "1145892"^^ . "https://api.rohub.org/api/resources/dce9876e-00dd-43dc-8f57-9e4a76d3e393/download/" . . "2021-11-15 13:37:01.813730+00:00" . "2021-11-15 13:37:01.814459+00:00" . . "6174373a961c231550d5dd51" . "2021-11-15 13:37:01.813730+00:00" . . . . . "1115974"^^ . "https://api.rohub.org/api/resources/dfa2d334-1ecf-4413-9199-55c35f2a9031/download/" . . "2021-11-15 13:37:14.411826+00:00" . "2021-11-15 13:37:14.412324+00:00" . . "6174373a961c231550d5dd90" . "2021-11-15 13:37:14.411826+00:00" . . . . . "74787510"^^ . "https://api.rohub.org/api/resources/dfd985cd-5d53-4d76-8c14-bbcefdda9ad9/download/" . . "2021-11-15 13:38:02.466519+00:00" . "2021-11-15 13:38:02.467052+00:00" . . "60e861266dfebc0806d13b21" . "2021-11-15 13:38:02.466519+00:00" . . . . . "1133276"^^ . "https://api.rohub.org/api/resources/e096b2ab-48ff-428a-beae-a76fe5579eed/download/" . . "2021-11-15 13:37:22.183715+00:00" . "2021-11-15 13:37:22.184240+00:00" . . 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"2021-11-15 13:41:02.903837+00:00" . . "60e8459f6dfebc0806c783be" . "2021-11-15 13:41:02.902924+00:00" . . . . . "1128890"^^ . "https://api.rohub.org/api/resources/fea3b14f-5b3c-4b6e-8096-4c12d086d069/download/" . . "2021-11-15 13:37:16.245804+00:00" . "2021-11-15 13:37:16.246255+00:00" . . "6174373a961c231550d5ddb0" . "2021-11-15 13:37:16.245804+00:00" . . . . . . . "Simone Mantovani" . . . "2026-03-03T16:44:48.084+01:00"^^ . . . . "How to create a Research Object using adamapi and rohub api" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "aEO9BuPIPlqQ8aVMMDLil98p5M91K+hknFCBuOLa0d9r0OROG7O2jf6FXoP/YxleQb8xcpz9/khsKVeKUStxslgn3INg8ZYUx3Nl8UnPq3jySA0kSbglje2CnrADZ7OhdxzQEgIsd+imV2Q+snXqDAi05if6IF/oUjHS/t+vXMdHTOwVHjyucW37TDeNqWQaGnsleE6LnybqNF6GCgioypwi2scJYcfWbm7UJnp9j5OpQHK3FrnWrrYHjqma62Zr0vyxgs9zPqWpkonNnHZkZD2eTKogLR7qJC0TErudnA4cbNyRMUcbShc0JNbWcNUU9hVYz08u7gX4SlvtB3mpjQ==" . . . . . . . "" . "Applied sciences" . . "service-account-enrichment" . . . . "87175059"^^ . "https://api.rohub.org/api/ros/49f52ad4-bf2c-4f50-9242-a26962d5a7a2/crate/download/" . . . "2021-11-17 14:41:26.637340+00:00" . "2025-03-05 00:56:08.393332+00:00" . "2021-11-17 14:41:26.637340+00:00" . "The pandemic influenced our way to live and our way to make science. It also gave to the scientific community the biggest experimental pool ever recorded to study the impact on the natural environment of reduced human activities. Studies reported wildfires diminishing, fisheries pausing, transport and commerce shrinking; people witnessed more wildlife sighting close to inhabited areas. \nWithin a case study that is part of the EU H2020 project RELIANCE (www.reliance-project.eu), we built an inventory of all existing monitoring efforts of the marine environment that have been put in place in the seas and oceans, to assess the impact (or de-impact) of the Covid-19 - related lockdowns." . "application/ld+json" . . . . . . "https://w3id.org/ro-id/49f52ad4-bf2c-4f50-9242-a26962d5a7a2" . "anthropause" . "covid" . "lockdown" . "marine" . "mediterranean" . "monitoring" . . "Marine Monitoring during the Anthropause" . "MANUAL" . "European Union" . "case study" . "impact" . "marine environment" . "monitoring" . "natural environment" . "pandemic" . "scientific discipline" . "sighting" . "stock" . "try" . "wildfire" . "wildlife" . "environmental sciences" . "Science and technology" . "effort" . "impact" . "inventory" . "marine environment" . "monitoring" . "sighting" . "wildlife" . "life sciences" . "assess the impact" . "case study" . "efforts of the marine environment" . "monitoring effort" . "part of the EU" . "It also gave to the scientific community the biggest experimental pool ever recorded to study the impact on the natural environment of reduced human activities." . "Studies reported wildfires diminishing, fisheries pausing, transport and commerce shrinking; people witnessed more wildlife sighting close to inhabited areas." . "Within a case study that is part of the EU H2020 project RELIANCE (www.reliance-project.eu) we built an inventory of all existing monitoring efforts of the marine environment that have been put in place in the seas and oceans, to assess the impact (or de-impact) of the Covid-19 - related lockdowns." . . . . "hydrography" . "medicine" . "trade" . "European Union" . "Aracri, Simona, and KATRIN SCHROEDER. \"Marine Monitoring during the Anthropause.\" ROHub. Nov 17 ,2021. https://w3id.org/ro-id/49f52ad4-bf2c-4f50-9242-a26962d5a7a2." . "Relevant publications and resources" . . . . . . . . . . . . . . . "Bibliography" . . . . "1894698"^^ . "https://api.rohub.org/api/resources/0271a2c4-05d5-439f-94c0-28d5a15b7702/download/" . . "2022-07-15 15:06:49.016559+00:00" . "2022-07-15 15:06:51.083333+00:00" . "application/pdf" . . "manenti_2020_covid_wildlife.pdf" . "2022-07-15 15:06:49.016559+00:00" . . . . . "https://view.genial.ly/6183ac2f9e12570db4ed5c86/guide-reliance-questionnaire" . . "2021-12-17 14:58:45.335836+00:00" . "2021-12-17 14:58:45.336269+00:00" . . "Questionnaire Presentation" . "2021-12-17 14:58:45.335836+00:00" . . . . . "229321"^^ . "https://api.rohub.org/api/resources/0cadf0b4-a2ad-45ec-a9ef-4eb35ac820b4/download/" . . "2021-12-20 11:03:55.116088+00:00" . "2021-12-20 11:03:55.117473+00:00" . "Parameters measured during the pandemic" . "image/png" . . "Parameters" . "2021-12-20 11:03:55.116088+00:00" . . . . . "3887718"^^ . "https://api.rohub.org/api/resources/238b12ab-cb62-4762-84b9-e11f5360ccce/download/" . . "2022-07-15 15:11:04.852945+00:00" . "2022-07-15 15:11:07.375750+00:00" . "application/pdf" . . "menut_2020_airquality.pdf" . "2022-07-15 15:11:04.852945+00:00" . . . . . "https://docs.google.com/forms/d/e/1FAIpQLSe9yaL-lV4bLW41sc482YxxV-TKYP6WtLK7iTVehgWORtTqrg/viewform?usp=sf_link" . . "2021-12-17 14:59:59.823942+00:00" . "2021-12-17 14:59:59.824912+00:00" . . "Questionnaire: Marine Monitoring during the Anthropause" . "2021-12-17 14:59:59.823942+00:00" . . . . . "133417"^^ . "https://api.rohub.org/api/resources/38855e2a-7bf7-4e36-98c3-fc5f2bb44059/download/" . . "2021-12-17 14:56:44.479304+00:00" . "2021-12-17 14:56:44.480398+00:00" . "Graph showing under which category marine data collected during the pandemic fall under" . "image/png" . . "Category of Data" . "2021-12-17 14:56:44.479304+00:00" . . . . . "2741137"^^ . "https://api.rohub.org/api/resources/39912a0b-5e77-48ca-be44-fd79d4fee23a/download/" . . "2022-07-15 15:26:56.997151+00:00" . "2022-07-15 15:26:59.120532+00:00" . "application/pdf" . . "guardian_2020_covid19 fishery impact.pdf" . "2022-07-15 15:26:56.997151+00:00" . . . . . "53618744"^^ . "https://api.rohub.org/api/resources/40407545-e56e-4f90-b316-f31ef7a21134/download/" . . "2022-07-15 15:05:18.018942+00:00" . "2022-07-15 15:05:21.461849+00:00" . "application/pdf" . . "swain_2022_lockdown_impact.PDF" . "2022-07-15 15:05:18.018942+00:00" . . . . . "7645354"^^ . "https://api.rohub.org/api/resources/4d762cf1-6cb1-40eb-b5d1-c52b4d8a9476/download/" . . "2022-07-15 15:07:33.468813+00:00" . "2022-07-15 15:07:36.544867+00:00" . "application/pdf" . . "staffetta_2020_distribution_covid_seasonal.pdf" . "2022-07-15 15:07:33.468813+00:00" . . . . . "4484642"^^ . "https://api.rohub.org/api/resources/68ccaaf1-803d-497b-a9bb-d4fa53a7b366/download/" . . "2022-07-15 15:07:12.509960+00:00" . "2022-07-15 15:07:14.809606+00:00" . "application/pdf" . . "poli_2020_seismic_covid.pdf" . "2022-07-15 15:07:12.509960+00:00" . . . . . "1990124"^^ . "https://api.rohub.org/api/resources/69389f04-f5b2-48d7-b2bb-23ba3c7dfc0e/download/" . . "2022-07-15 15:21:54.703343+00:00" . "2022-07-15 15:21:56.938343+00:00" . "application/pdf" . . "hochman_2021_seasonal_influenza.pdf" . "2022-07-15 15:21:54.703343+00:00" . . . . . "163504"^^ . "https://api.rohub.org/api/resources/7ea2af73-c122-4ad8-a8eb-32973c2a27cc/download/" . . "2022-07-15 15:22:58.682472+00:00" . "2022-07-15 15:23:00.718605+00:00" . "application/pdf" . . "ICES_2020_impact covid19 fishery.pdf" . "2022-07-15 15:22:58.682472+00:00" . . . . . "2640313"^^ . "https://api.rohub.org/api/resources/8fd14751-bdb5-4981-84c1-a6c526a72f83/download/" . . "2022-07-15 15:22:37.526834+00:00" . "2022-07-15 15:22:39.840197+00:00" . "application/pdf" . . "piccinini_2020_northern_italy.pdf" . "2022-07-15 15:22:37.526834+00:00" . . . . . "13091837"^^ . "https://api.rohub.org/api/resources/92fc88d3-1ead-4953-9384-ed3af9467bea/download/" . . "2022-07-15 15:27:27.227509+00:00" . "2022-07-15 15:27:30.323166+00:00" . "application/pdf" . . "braga_2020_venice.pdf" . "2022-07-15 15:27:27.227509+00:00" . . . . . "771236"^^ . "https://api.rohub.org/api/resources/9aeafa95-d61a-4436-bf2f-9cdbc06a17d6/download/" . . "2022-07-15 15:10:31.345581+00:00" . "2022-07-15 15:10:33.392081+00:00" . "application/pdf" . . "giannakis_2020_eastern_mediterranean_fisheries.pdf" . "2022-07-15 15:10:31.345581+00:00" . . . . . "2906682"^^ . "https://api.rohub.org/api/resources/b3fa9cbb-bfbe-4024-98c3-af433033f034/download/" . . "2022-07-15 15:21:16.990559+00:00" . "2022-07-15 15:21:19.451830+00:00" . "application/pdf" . . "luterbacher_2020_pandemics_climate_variability.pdf" . "2022-07-15 15:21:16.990559+00:00" . . . . . "847711"^^ . "https://api.rohub.org/api/resources/f9039923-05dc-46eb-8c07-1ed5c4f03608/download/" . . "2022-07-15 15:11:27.176012+00:00" . "2022-07-15 15:11:29.084106+00:00" . "application/pdf" . . "rodriguez_2020_wildfires.pdf" . "2022-07-15 15:11:27.176012+00:00" . . . . . "2736179"^^ . "https://api.rohub.org/api/resources/f9fb0b8c-e864-457a-9011-73c7300c63d2/download/" . . "2022-07-15 15:09:56.918011+00:00" . "2022-07-15 15:09:59.639561+00:00" . "application/pdf" . . "roviello_2020_immunoprotection_forests.pdf" . "2022-07-15 15:09:56.918011+00:00" . . . . . . . "katrin.schroeder@cnr.it" . "KATRIN SCHROEDER" . . "Simona Aracri" . . . "2026-03-03T16:44:46.636+01:00"^^ . . . . "Marine Monitoring during the Anthropause" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "nmsDvdkPbCH2jTWp8ZhPm9kWWhU04Pmxh8/ZJEfcD6LbtZq+KKx//4Mc+2CzcYLyHArzfma6xTmVvW3acIF25fT7Qeb45QYBoJwa2ewOg/qmvaEUr0ZVdMd+N7wiDdUN5wAGJy92jYXqO9Wb1Acxr6la5pIBvcLznfj9EFMi/A3hvisPToh7dMt9hLlnYrK0VmjNSeRSvcdnLZG9gdS9vOas8YQSnAbWQmntB7lvb0w3HORsDDoPlhe8LJO3BM/Uvkqf5Kdo7zWnPTyRn19X7c9uZzh/c2ZN2lxTVKqhBD74psuMd7bfPnSlNLdxhubMeL4p4obAU6ixOnMnSQMGFg==" . . . . . . . "" . "Oceanography" . . "" . "Earth sciences" . . "" . "Biochemistry" . . . . "https://datahub.egi.eu/api/v3/onezone/shares/data/00000000007E46B7736861726547756964236161643239616133666234633734356464393231356539663536613733616366636836643138233732356634616233366362323664306662666330633132346337373565666565636865653439236361386634383464346533366532646439643230336131383431616362656563636834393661/content" . . "2022-11-29 15:26:53.739562+00:00" . "2023-06-22 10:59:50.791762+00:00" . "Data at the Acqua Alta oceanographic tower is a collection of physical and biogeochemical observation in the northern Adriatic Sea\nhttps://www.comune.venezia.it/it/content/3-piattaforma-ismar-cnr\nhttp://www.ismar.cnr.it/infrastrutture/piattaforma-acqua-alta" . . "PTF dataset(2009-2020)\nPiattaforma acqua allta" . "2022-11-29 15:26:53.739562+00:00" . . . . . "https://datahub.egi.eu/api/v3/onezone/shares/data/00000000007ECE4C736861726547756964236337653135323330333033383136356532663365646530343262646537343038636836643138233732356634616233366362323664306662666330633132346337373565666565636865653439233836663339353466636461353034663331326637636464363962333037383234636864343237/content" . . "2021-12-22 14:38:45.256955+00:00" . "2022-11-29 16:15:06.244156+00:00" . . "Jupyter notebook using R" . "2021-12-22 14:38:45.256955+00:00" . . . . . "https://doi.org/10.5194/essd-12-215-2020" . . "2022-11-29 16:05:17.920104+00:00" . "2022-11-29 16:06:05.302894+00:00" . "In this paper, we describe a 50-year (1965–2015) ecological database containing data on plankton communities and related abiotic parameters collected in the northern Adriatic Sea (NAS). Plankton communities, which are at the base of aquatic ecosystem functioning, have a broad and diversified range of seasonal patterns, multi-annual trends, and shifts across different marine ecosystems: making long-term series of plankton and oceanographic observations available provides unique and precious tools for depicting reliable patterns of average annual cycles and for detecting significant changes and trends in response to global or local pressures and impacts." . . "Dataset description" . "2022-11-29 16:05:17.920104+00:00" . . . . "CNR-ISMAR" . "malek.belgacem@ve.ismar.cnr.it" . "Malek Belgacem" . . "0000-0003-0745-4155" . "case study" . . "4.890738813735692" . "4.7" . "Adriatic Sea" . . . "POLYGON ((11.762694865465166 44.67038775819365, 11.762694865465166 45.60037251154824, 13.618163913488388 45.60037251154824, 13.618163913488388 44.67038775819365, 11.762694865465166 44.67038775819365))" . "11.762694865465166 44.67038775819365, 11.762694865465166 45.60037251154824, 13.618163913488388 45.60037251154824, 13.618163913488388 44.67038775819365, 11.762694865465166 44.67038775819365" . . . "9babe6b2-4629-4111-a574-f1511da18104" . "POLYGON ((11.762694865465166 44.67038775819365, 11.762694865465166 45.60037251154824, 13.618163913488388 45.60037251154824, 13.618163913488388 44.67038775819365, 11.762694865465166 44.67038775819365))" . . . . . . . . . "1785382"^^ . "https://api.rohub.org/api/ros/0869e396-3733-4aff-8fb2-94c8937b28aa/crate/download/" . . . "2021-11-29 14:45:39.803487+00:00" . "2025-03-05 01:19:07.795226+00:00" . "2021-11-29 14:45:39.803487+00:00" . "This is a case study of snapshot project http://snapshot.cnr.it/ to investigate the lockdown impact on the water quality at a selected site in the northern Adriatic Sea, precisely in Northern Adriatic Sea, the case of the Gulf of Venice using Machine Learning model." . "application/ld+json" . . . . . . . . "https://w3id.org/ro-id/0869e396-3733-4aff-8fb2-94c8937b28aa" . "Adriatic Sea" . "Biogeochemistry" . "inorganic nutrients" . "lockdown impact" . "marine platform" . . "Research Object" . "Snapshot 2021 study case: Lockdown impacts on the Northern Adriatic Sea at selected site: AcquaAlta Platform Water quality" . . . "MANUAL" . . . . . . . "https://w3id.org/ro-id/32364e73-ae45-4c01-a14a-bc51e70320d5" . "https://w3id.org/ro-id/de6cb8e6-8634-4db9-9d89-3de77159038a" . "https://w3id.org/ro-id/081c77a2-2454-4a9d-bf06-ba5ee57ac30f" . "https://w3id.org/ro-id/5cdf50db-4c51-4498-9100-209eebb8fc94" . "https://w3id.org/ro-id/04c5003a-5357-4cbd-81d2-2027c870062c" . "https://w3id.org/ro-id/186ce286-667e-4048-afd6-37115e55a749" . "https://w3id.org/ro-id/21ee4901-d22c-47d6-99d7-26db44dae53d" . "https://w3id.org/ro-id/3a8bd7a3-3845-4f8d-9702-9c021a451812" . "https://w3id.org/ro-id/4fb2baef-3923-4609-9fc8-4de57885bf4b" . "https://w3id.org/ro-id/7b02f0ce-4765-43ab-aa20-41d165264a86" . "https://w3id.org/ro-id/7c6c4ba8-875e-4403-93e3-4154b66d97b3" . "https://w3id.org/ro-id/87c08759-3c26-4ff0-8327-d2842c4bb5ef" . "https://w3id.org/ro-id/ac088099-0316-403c-bbe8-271e9cec491e" . "https://w3id.org/ro-id/c6c2224d-2b1d-434e-bcf0-ea556d3dcb50" . "https://w3id.org/ro-id/dbca260c-e9f1-4cd4-b5da-3d4f74708ce1" . "https://w3id.org/ro-id/0d32d2db-ea94-4733-aa43-fb079fb997d1" . "https://w3id.org/ro-id/7f13e266-3c8e-4bbb-a4d0-4576f222927d" . "https://w3id.org/ro-id/35020f27-6e26-4a1b-84e4-ef25c652158c" . "https://w3id.org/ro-id/50b46e80-e71d-4772-83b7-8a5ea277b052" . "https://w3id.org/ro-id/185f2270-805a-4669-bb44-830bee256947" . "https://w3id.org/ro-id/75a11d78-b8e5-41f0-a8d8-de167380dff9" . "https://w3id.org/ro-id/7e3d3c52-6921-4ab1-b486-ae86b5d9cf05" . "https://w3id.org/ro-id/9d236df1-a6ef-4bd1-85a3-0f4a88675bf6" . "https://w3id.org/ro-id/b3e44687-2358-497d-8fb4-478467ea19a8" . "https://w3id.org/ro-id/e11ad585-3fb3-4399-9d94-839faf7fb8a0" . "https://w3id.org/ro-id/f771803a-7ae9-43f8-8c15-41b214fec39c" . "https://w3id.org/ro-id/4684e0f2-d68e-4ca9-97d8-fb71e6ffb984" . "https://w3id.org/ro-id/919b433d-808c-4b6d-a635-2e4197524edc" . "https://w3id.org/ro-id/3294b71f-7f2d-41c1-a42a-61a33dd0ed98" . "https://w3id.org/ro-id/6be9833b-436d-4998-adf3-541da8dd9c03" . "https://w3id.org/ro-id/99970636-75e9-4088-a200-6ff7de907159" . "https://w3id.org/ro-id/a131b587-56fe-48ea-a938-d9009236b975" . "https://w3id.org/ro-id/c23b36ca-c91c-4a5f-8a8c-759d21d9cc67" . "https://w3id.org/ro-id/1cd3ffb4-ad25-4b0e-ac58-66c6d300234c" . "https://w3id.org/ro-id/a1cdf83b-c6cf-43e8-8ebd-0dbef6a88205" . "https://w3id.org/ro-id/638d85ed-0513-4a62-9dd8-a8e5ce7ba5eb" . "Belgacem, Malek, Mauro Bastianini, and Jacopo Chiggiato. \"Snapshot 2021 study case: Lockdown impacts on the Northern Adriatic Sea at selected site: AcquaAlta Platform Water quality.\" ROHub. Nov 29 ,2021. https://w3id.org/ro-id/0869e396-3733-4aff-8fb2-94c8937b28aa." . 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"image/png" . . "NO3_ts_ptf_decompose.png" . "2021-12-22 14:06:14.381079+00:00" . . . . "55841"^^ . "https://api.rohub.org/api/resources/548ed54f-2d96-4e0c-9633-cbb22a04fd20/download/" . . "2021-12-22 14:06:01.775038+00:00" . "2021-12-22 14:06:01.777430+00:00" . "image/png" . . "NO3_predict_obsvspred2020vs20092019.png" . "2021-12-22 14:06:01.775038+00:00" . . . . "49353"^^ . "https://api.rohub.org/api/resources/aa6894c2-5c4d-4c39-817b-d63fb155141d/download/" . . "2021-12-22 14:05:43.603856+00:00" . "2021-12-22 14:05:43.605820+00:00" . "image/png" . . "NO3_predict_obsvspred2020.png" . "2021-12-22 14:05:43.603856+00:00" . . . . "296189"^^ . "https://api.rohub.org/api/resources/d87d7c73-70c4-4243-9f8b-1b22ad5f4338/download/" . . "2021-12-22 12:23:51.989470+00:00" . "2021-12-22 12:23:51.990626+00:00" . "image/jpeg" . . "Study area" . "2021-12-22 12:23:51.989470+00:00" . . . . "88174"^^ . "https://api.rohub.org/api/resources/eaee63ca-aaa5-46eb-8b8a-0d696d1340e9/download/" . . "2022-07-15 16:29:07.183540+00:00" . "2023-06-22 10:56:15.115165+00:00" . . "image.jfif" . "2022-07-15 16:29:07.183540+00:00" . . . . . "444613"^^ . "https://api.rohub.org/api/resources/fad0f0b1-a385-40df-8698-a1e61df13161/download/" . . "2021-12-15 15:16:09.372184+00:00" . "2021-12-15 15:16:09.373777+00:00" . "image/png" . . "RO workflow" . "2021-12-15 15:16:09.372184+00:00" . . . . . . . "environmental sciences" . . "100.0" . "0.5102767944335938" . "Gulf of Venice" . . "8.92018779342723" . "7.6" . "Gulf of Venice" . . "7.075962539021853" . "6.8" . "Snapshot 2021 study case: Lockdown impacts on the Northern Adriatic Sea at selected site: AcquaAlta Platform Water quality." . . "33.83383383383383" . "33.8" . "snapshot" . . "4.474505723204995" . "4.3" . "hydrography" . . "39.42307692307692" . "4.1" . "northern Adriatic Sea" . . "17.122473246135556" . "14.4" . "Crime" . . "Crime, law and justice/Crime" . "machine learning" . . "6.76378772112383" . "6.5" . "geophysics" . . "100.0" . "0.33035168051719666" . "Adriatic Sea" . . "25.390218522372532" . "24.4" . "IT-computer sciences" . . "Science and technology/Technology and engineering/IT-computer sciences" . "Gulf of Venice" . . . "2021" . . "case of the Gulf of Venice" . . "7.134363852556481" . "6.0" . "machine learning" . . "8.685446009389672" . "7.4" . "lockdown" . . "23.621227887617067" . "22.7" . "impact" . . "6.139438085327784" . "5.9" . "project" . . "7.15962441314554" . "6.1" . "environmental science and management" . . "100.0" . "0.5102767944335938" . "project" . . "6.243496357960458" . "6.0" . "geosciences" . . "100.0" . "0.33035168051719666" . "machine learning model" . . "17.954815695600477" . "15.1" . "impact" . . "7.511737089201878" . "6.4" . "snapshot project http" . . "39.00118906064209" . "32.8" . "This is a case study of snapshot project http://snapshot.cnr.it/ to investigate the lockdown impact on the water quality at a selected site in the northern Adriatic Sea, precisely in Northern Adriatic Sea, the case of the Gulf of Venice using Machine Learning model." . . "66.16616616616616" . "66.1" . "site" . . "3.121748178980229" . "3.0" . "Adriatic Sea" . . "28.990610328638496" . "24.7" . "lockdown impact" . . "18.7871581450654" . "15.8" . "http" . . "8.844953173777316" . "8.5" . "Synoptic Assessment of Human Pressures on key Mediterranean Hot Spots\nThe SNAPSHOT project contributes to the informed public debate trying to answer the above questions through an observation campaign involving scientists and citizens with the commo" . "jacopo.chiggiato@ismar.cnr.it" . "SNAPSHOT: the pandemic and post-pandemic marine environment at a glance" . "http://www.bluemed-initiative.eu/snapshot/" . . "snapshot" . . "3.433922996878252" . "3.3" . "computer science" . . "60.57692307692309" . "6.3" . "http" . . "10.798122065727698" . "9.2" . "lockdown" . . "27.934272300469484" . "23.8" . . "https://zenodo.org/record/3516717#.YboDGWjMI2x" . . "2022-11-29 16:06:59.179645+00:00" . "2022-11-29 16:07:01.609968+00:00" . "The present database contains observations for 22 parameters of abiotic, phyto and zooplankton data collected in the Northern Adriatic Sea region (Italy). It relies on a Comma Separated Values file and it is composed by 108687 records. Due to its long temporal coverage, it is classifiable as Long Term Ecological data. Due to the long temporal coverage, the great part of parameters changed collection and analysis method in time. These variations are reported in the database. A long term database can be useful for multiple purposes. This database has been released under a research project focused on Open Science principles application to marine ecology." . . "Dataset source" . "2022-11-29 16:06:59.179645+00:00" . . . . "direttore@ismar.cnr.it" . "CNR-ISMAR" . . "CNR-ISMAR" . "jacopo.chiggiato@ismar.cnr.it" . "Jacopo Chiggiato" . . "CNR-ISMAR" . "mauro.bastianini@ismar.cnr.it" . "Mauro Bastianini" . . "service-account-enrichment" . . . "2026-03-03T16:44:45.119+01:00"^^ . . . . "Snapshot 2021 study case: Lockdown impacts on the Northern Adriatic Sea at selected site: AcquaAlta Platform Water quality" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . 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"2021-12-07 09:16:43.892982+00:00" . "2025-03-05 12:47:13.249944+00:00" . "2021-12-07 09:16:43.892982+00:00" . "Since the beginning of March 2020 many European (and non-European) countries went into an unprecedented lockdown. As a consequence a big number of papers trying to analyse the effect of the anthropause on the marine environment has been published around the world. This RO contains a list of scientific papers, dealing with the COVID19 lockdown and Earth Sciences, downloaded through Web of Science." . "application/ld+json" . . "https://w3id.org/ro-id/7f025f6e-9835-4af8-aa48-0152474eda37" . . "Bibliography analysis on lockdown related papers within Earth science" . "MANUAL" . . . . "Grande, Valentina, and Giorgio Castellan. \"Bibliography analysis on lockdown related papers within Earth science.\" ROHub. Dec 07 ,2021. https://w3id.org/ro-id/7f025f6e-9835-4af8-aa48-0152474eda37." . . "297984"^^ . "https://api.rohub.org/api/resources/9b4c4b3e-ea24-4ae5-ab10-40d45dfe4ea4/download/" . . "2021-12-15 11:53:00.791962+00:00" . "2021-12-15 11:53:00.792798+00:00" . "List of scientific papers, dealing with the COVID19 lockdown and Earth Sciences (DS1-GC0-SC1) and downloaded through Web of Science (https://www.webofscience.com/wos/woscc/basic-search)" . "application/vnd.ms-excel" . . "List of papers" . "2021-12-15 11:53:00.791962+00:00" . . . . . . . . "2026-03-03T16:44:43.804+01:00"^^ . . . . "Bibliography analysis on lockdown related papers within Earth science" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . 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"https://w3id.org/ro-id/432f04ac-dd43-4c14-abbf-c9ae57c765b6" . "https://w3id.org/ro-id/a9538610-68ae-451c-bc7d-560f17078a3d" . "https://w3id.org/ro-id/b58da8e5-7398-4627-9119-97124ac0e93a" . "https://w3id.org/ro-id/c178a52b-5691-4812-a757-783016e57ab2" . "https://w3id.org/ro-id/fec59027-5488-4d8b-abbd-3ee2c526e1c9" . "https://w3id.org/ro-id/851af502-a5ea-4aaf-bca8-85c20b70a773" . "https://w3id.org/ro-id/a6bbb46e-3b81-4b38-8ca8-d0bb1ce8c772" . "https://w3id.org/ro-id/437a80c8-c002-4cbf-8e41-a2b675c3c47c" . "https://w3id.org/ro-id/9d533f05-d7e2-4dbb-b4d6-33983ac155d3" . "https://w3id.org/ro-id/1d1c0aef-740f-4ba4-bf7e-0cff00e317ea" . "https://w3id.org/ro-id/3fa367c5-3f3e-4ba8-bee4-d3fe054485b0" . "https://w3id.org/ro-id/45c39300-6165-4ae7-8a22-c73be6cad966" . "https://w3id.org/ro-id/5f5968b3-478b-420b-a827-a3c953c3ca57" . "https://w3id.org/ro-id/6690fbf2-b62b-4ad9-96b0-73382001b959" . "https://w3id.org/ro-id/a01f9ba2-684a-4133-8870-fc9c756538f0" . "https://w3id.org/ro-id/ae3a4178-a3fa-48c1-83b3-b5b0f67752c6" . "https://w3id.org/ro-id/01fb6ffe-0f0e-49c4-b575-2c1f86aeb1ff" . "https://w3id.org/ro-id/a74077ed-f9f0-4410-95c5-5629cac76b3f" . "https://w3id.org/ro-id/0678163f-e370-4fc2-a839-7142301e3b6c" . "https://w3id.org/ro-id/3356e64a-99ee-4770-a248-3cf3d24adeb4" . "https://w3id.org/ro-id/38ab2e3f-9e8e-41b8-9cd0-9360880b5ce0" . "https://w3id.org/ro-id/9824b34e-5944-4bd6-9bae-abac9dc046ca" . "https://w3id.org/ro-id/be906dbc-5d30-4da1-b93b-6a5c63d51730" . "https://w3id.org/ro-id/1a06e5e7-3b5a-46d8-bd1f-0fc6d0659384" . "https://w3id.org/ro-id/20867b26-5388-4fe9-88ab-2a5b6c9335c5" . "Paolo Montagna, Jacopo Chiggiato, Giorgio Castellan, and Malek Belgacem. \"Spatial and temporal distribution of Cold Water Corals (CWC) in the Mediterranean Sea - Data.\" ROHub. Dec 07 ,2021. https://w3id.org/ro-id/1c87c3d6-46f0-4bfe-bc73-88282fb8c3c5." . 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"Data on temperature, salinity, dissolved oxygen, pH, and nutrient concentrations in seawater used to explore how environmental variables influence the distribution of CWC in the Mediterranean Sea" . . "57.75775775775775" . "57.7" . "pH" . . "8.507853403141361" . "6.5" . "variable" . . "10.471204188481675" . "8.0" . "Mediterranean Sea" . . "16.8848167539267" . "12.9" . "environmental variable" . . "11.877828054298641" . "10.5" . "distribution of Cold Water Corals" . . "39.59276018099547" . "35.0" . "variable" . . "12.205882352941178" . "8.3" . "information" . . "13.089005235602093" . "10.0" . "Jewellery" . . "Arts, culture and entertainment/Arts and entertainment/Fashion/Jewellery" . "Cold Water Coral" . . "17.352941176470587" . "11.8" . "Mediterranean Sea" . . "19.11764705882353" . "13.0" . "concentration" . . "13.52941176470588" . "9.2" . "earth sciences" . . "100.0" . "0.9809685945510864" . "data on temperature" . . "7.466063348416289" . "6.6" . "Animal" . . "Human interest/Animal" . "salinity" . . "11.470588235294118" . "7.8" . "oceanography" . . "100.0" . "0.9809685945510864" . "geophysics" . . "100.0" . "0.4974074065685272" . "salinity" . . "10.078534031413612" . "7.7" . "distribution" . . "11.764705882352942" . "8.0" . "temperature" . . "8.900523560209423" . "6.8" . "nutrient concentration" . . "18.778280542986426" . "16.6" . "salt water" . . "9.947643979057592" . "7.6" . "Mediterranean Sea" . . "https://www.wikidata.org/wiki/Q4918" . "chemistry" . . "100.0" . "15.9" . "concentration" . . "11.780104712041885" . "9.0" . "direttore@ismar.cnr.it" . "CNR-ISMAR" . . "CNR-ISMAR" . "jacopo.chiggiato@ismar.cnr.it" . "Jacopo Chiggiato" . . "paolo.montagna@cnr.it" . "Paolo Montagna" . . . "2026-03-03T16:44:42.426+01:00"^^ . . . . "Spatial and temporal distribution of Cold Water Corals (CWC) in the Mediterranean Sea - Data" . "RSA" . 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"service-account-enrichment" . . . . . . . . "91591"^^ . "https://api.rohub.org/api/ros/894d3a33-8340-497d-beaf-5b9d85c9bfc7/crate/download/" . . "2021-12-07 15:44:04.866966+00:00" . "2025-03-05 01:21:25.016018+00:00" . "2021-12-07 15:44:04.866966+00:00" . "Satellite Data on Chlorophyll-a and diffuse attenuation coefficient at 490 nm (Kd490) for the Venice Lagoon" . "application/ld+json" . . . . "https://w3id.org/ro-id/894d3a33-8340-497d-beaf-5b9d85c9bfc7" . . "Satellite data on water clarity in the Venice Lagoon during the COVID 19 lockdown" . "MANUAL" . "Venice" . "absorption coefficient" . "chlorophyll a" . "clarity" . "water" . "earth sciences" . "Nanotechnology" . "Satellite technology" . "Venice Lagoon" . "Venice" . "attenuation coefficient" . "chlorophyll a" . "clarity" . "satellite data" . "water" . "geosciences" . "Venice Lagoon during the COVID 19 lockdown" . "Venice Venice Lagoon" . "diffuse attenuation coefficient" . "satellite data on chlorophyll a" . "satellite data on water clarity" . "Satellite Data on Chlorophyll-a and diffuse attenuation coefficient at 490 nm (Kd490) for the Venice Lagoon" . "Satellite data on water clarity in the Venice Lagoon during the COVID 19 lockdown." . "https://w3id.org/ro-id/894d3a33-8340-497d-beaf-5b9d85c9bfc7/01ac8fa1-202d-44dc-aeca-189b3b2603cb" . . . . . . "Venice" . "Castellan, Giorgio. \"Satellite data on water clarity in the Venice Lagoon during the COVID 19 lockdown.\" ROHub. Dec 07 ,2021. https://w3id.org/ro-id/894d3a33-8340-497d-beaf-5b9d85c9bfc7." . . "29487"^^ . "https://api.rohub.org/api/resources/4735e2cd-a746-455e-bf0d-02022be56eca/download/" . . "2021-12-13 15:48:13.309224+00:00" . "2021-12-13 15:48:13.310234+00:00" . "Satelite data on Chl-a for the Venice Lagoon" . "application/zip" . . "Satelite data on Chl-a for the Venice Lagoon" . "2021-12-13 15:48:13.309224+00:00" . . . . . "70005"^^ . "https://api.rohub.org/api/resources/629e9125-130e-4742-b32b-6eaf05fec072/download/" . . "2021-12-14 08:57:52.941298+00:00" . "2021-12-14 08:57:52.942495+00:00" . "image/png" . . "Diffuse attenuation coefficient at 490 nm (Kd490) for north Adriatic Sea in 2018" . "2021-12-14 08:57:52.941298+00:00" . . . . . "23937"^^ . "https://api.rohub.org/api/resources/982e29d3-e27c-4a2d-ba63-d0edeade9a48/download/" . . "2021-12-13 15:47:41.772362+00:00" . "2021-12-13 15:47:41.774296+00:00" . "Satellite data on Kd490for the Venice Lagoon" . "application/zip" . . "Satellite data on Kd490 for the Venice Lagoon" . "2021-12-13 15:47:41.772362+00:00" . . . . . . . . "2026-03-03T16:44:41.104+01:00"^^ . . . . "Satellite data on water clarity in the Venice Lagoon during the COVID 19 lockdown" . "RSA" . 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"https://w3id.org/ro-id/5fcae548-3b21-4a6c-ba68-e71d81dda4e0" . "https://w3id.org/ro-id/7e8efc9b-98e9-44eb-9c35-8708db32392b" . "https://w3id.org/ro-id/d8f17cb2-81c3-439e-ba82-b87ad5f0dc94" . "https://w3id.org/ro-id/da6d652f-222a-4daf-94f3-63881de7e5b9" . "https://w3id.org/ro-id/f98454df-ec68-4416-9c42-9c6c305ef5e7" . "https://w3id.org/ro-id/3e5759d1-24b3-4d14-b86b-955e45f889af" . "https://w3id.org/ro-id/5f536cb2-9302-494a-a669-716d6d1d5e6e" . "https://w3id.org/ro-id/2501b09c-2e95-400b-a60a-f0e027315f8b" . "https://w3id.org/ro-id/5a41bca0-a02e-41d8-af37-ef5fd7b01682" . "https://w3id.org/ro-id/7a47a70e-cfd3-43c8-a6b3-2ea4a301e197" . "https://w3id.org/ro-id/bed4c2d2-b1da-4e77-b8ae-d58a835eb99e" . "https://w3id.org/ro-id/d5937bcd-b20d-4318-8f6c-230e48ef76a9" . "https://w3id.org/ro-id/fdc6bfea-a041-4ee3-ba82-23e3047fb67e" . "https://w3id.org/ro-id/d2e1f6d2-03e7-40c9-b677-fa163e7353df" . "Stelitano, Dario. \"(2021) Integrated Water_Vapour on the Thule Station. MODIS data _(TEST).\" ROHub. Dec 08 ,2021. https://w3id.org/ro-id/36113393-cbf6-4bac-8698-d69cf6cd0329." . . "12605"^^ . "https://api.rohub.org/api/resources/171055c3-c92a-48d7-8add-bf781e8074f6/download/" . . "2021-12-08 21:54:05.171272+00:00" . "2021-12-08 21:54:05.172442+00:00" . "text/html" . . "Interactive_html" . "2021-12-08 21:54:05.171272+00:00" . . . . . "25892"^^ . "https://api.rohub.org/api/resources/570b4730-7ab4-44ae-a0ea-c3b5167a8d61/download/" . . "2021-12-08 21:54:35.637718+00:00" . "2021-12-08 21:54:35.639366+00:00" . "image/png" . . "IWV_Thule_Sept2021.png" . "2021-12-08 21:54:35.637718+00:00" . . . . . "2822"^^ . "https://api.rohub.org/api/resources/f3912336-c918-4f34-bff1-b9522273458a/download/" . . "2021-12-08 21:53:19.741390+00:00" . "2021-12-08 21:53:19.744069+00:00" . "text/csv" . . "IWV_Data.csv" . "2021-12-08 21:53:19.741390+00:00" . . . . . . . "life sciences (general)" . . "100.0" . "0.9445598721504211" . "get MODIS data" . . "1.7034068136272547" . "1.7" . "life sciences" . . "100.0" . "0.9445598721504211" . "data" . . "27.540650406504064" . "27.1" . "get MODIS data on ADAM Platform" . . "ADAM Platform" . . "14.837398373983739" . "14.6" . "test" . . "23.249299719887958" . "8.3" . "earth sciences" . . "100.0" . "0.6300640106201172" . "data on ADAM Platform" . . "3.907815631262525" . "3.9" . "information" . . "76.75070028011204" . "27.4" . "2021" . . "(2021) Integrated Water_Vapour on the Thule Station." . . "4.3043043043043046" . "4.3" . "MODIS" . . "25.101626016260163" . "24.7" . "test" . . "7.621951219512194" . "7.5" . "atmospheric sciences" . . "100.0" . "0.6300640106201172" . "This Research Object" . . "16.05691056910569" . "15.8" . "MODIS data _(TEST). This Research Object get MODIS data on ADAM Platform." . . "95.6956956956957" . "95.6" . "Dario Stelitano" . . . "2026-03-03T16:44:39.738+01:00"^^ . . . . "(2021) Integrated Water_Vapour on the Thule Station. MODIS data _(TEST)" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "YC8l8wpVe4Qg5oBYRlNmXmUBhePtelqrP42bYZijhsmxzNzrM6zP/+NSNAZxPGeYrBnMLZ1cHwm6vdeMdXqju3rWSXwUgaCUYu6RCrrJAOGmYix1KuCUNMOUwWFAaBBnMRGFAiG5o7lmlzvDurz+pY/fnKebaUzcS6ELNYeulLyomT/Ey45oVMLS02LE7X4XvwaiB6AFxMxpSMlVCjwNb9TYdr1qH6Qd4ElXlTVFegC1baDEo8OLTbGrx4pgCaoPujYapBtPpSCFfPbjekW6f98iFrNxM/q9jkrjZ1nF2KpV4l7j9b07w+k6+jDA1otBooUfShGu4M87kMHKkcs+fw==" . . . . . . . "" . "Earth sciences" . . . "Adriatic Sea" . . "naval forces" . . "Soundscape WAV data" . . "physics" . . "sound pressure levels from wav file" . . "http" . . "AND" . . "sound pressure" . . "resource" . . "Adriatic Sea" . . "Levels It" . . "file" . . "sound pressure level" . . "Develogic SonoVault hydrophone" . . "computer code" . . "soundscape" . . "information" . . "acoustics" . . "impact" . . "North Adriatic sea" . 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"service-account-enrichment" . . . . . . "3145561"^^ . "https://api.rohub.org/api/ros/6640422d-57ed-4814-b0d0-8eb4ee85f501/crate/download/" . . . . "2021-12-09 15:16:54.820238+00:00" . "2025-03-05 01:19:12.595351+00:00" . "2021-12-09 15:16:54.820238+00:00" . "It allows to calculate Sound Pressure Levels from wav files. This is the code used within the Soundscape Project - SOUNDSCAPES IN THE NORTH ADRIATIC SEA AND THEIR IMPACT ON MARINE BIOLOGICAL RESOURCES (https://www.italy-croatia.eu/web/soundscape). It works with wav files recorded by Develogic SonoVault Hydrophones" . "application/ld+json" . . . . . . "https://w3id.org/ro-id/6640422d-57ed-4814-b0d0-8eb4ee85f501" . "Underwater noise, SPLs, Soundscape" . . "Soundscape WAV data to Sound Pressure Levels" . "MANUAL" . "https://w3id.org/ro-id/6640422d-57ed-4814-b0d0-8eb4ee85f501/95dadbae-eb9b-4d26-9ab3-86d7f22f3004" . . . . . "Petrizzo, Antonio, Zdroik Jakub, Mihanović Hrvoje, and Vukadin Predrag. \"Soundscape WAV data to Sound Pressure Levels.\" ROHub. Dec 09 ,2021. https://w3id.org/ro-id/6640422d-57ed-4814-b0d0-8eb4ee85f501." . "wav file input" . . . "input" . . . "Jupyter notebooks here" . . "notebook" . . . "some results" . . . "results" . . . "some information" . . . "metadata" . . . . "1224673"^^ . "https://api.rohub.org/api/resources/00a6cb9f-40ff-40bc-b89e-f407df279b47/download/" . . "2021-12-14 12:49:11.532828+00:00" . "2021-12-14 12:49:11.533765+00:00" . "Monitoring Stations of Soundscape Project" . "image/png" . . "Maps of the stations" . "2021-12-14 12:49:11.532828+00:00" . . . . . "https://owncloud.ve.ismar.cnr.it/owncloud/index.php/s/U3hjD3ETPL9B2JF" . . "2021-12-14 12:28:01.996205+00:00" . "2021-12-14 12:42:47.357174+00:00" . "SPL dataset obtained in the SoundScape Project (available soon)" . . "SPL dataset" . "2021-12-14 12:28:01.996205+00:00" . . . . . "1908773"^^ . "https://api.rohub.org/api/resources/669996c7-7c4c-42f1-b368-12943683f5f5/download/" . . "2021-12-09 15:17:40.578025+00:00" . "2021-12-09 15:17:40.579536+00:00" . "image/png" . . "Processing WAV data recorded with Develogic SonoVault hydrophone" . "2021-12-09 15:17:40.578025+00:00" . . . . . "https://notebooks.egi.eu/user/da47d3640f619a02cb075c15d288fc09e053bf46b90d26ec335392acdfae866b@egi.eu/doc/tree/datahub/Reliance/Soundscape/SoundscapeWAVProcessing.ipynb" . . "2021-12-09 15:17:37.254527+00:00" . "2021-12-14 12:40:21.862063+00:00" . "This Notebook processes wav files recorded by Develogic SonoVault hydrophone and calculates Sound Pressure Levels" . . "Wav to SPL processing" . "2021-12-09 15:17:37.254527+00:00" . . . . . "67407"^^ . "https://api.rohub.org/api/resources/b17ec859-5532-4395-807a-c928bdc60f75/download/" . . "2021-12-14 12:23:57.268734+00:00" . "2021-12-14 12:41:56.005557+00:00" . "Example of SPL file 20 seconds averaged" . "text/csv" . . "SPL output file example" . "2021-12-14 12:23:57.268734+00:00" . . . . . "https://owncloud.ve.ismar.cnr.it/owncloud/index.php/s/QyDCi5EOPkFDuUs" . . "2021-12-14 12:18:53.138358+00:00" . "2021-12-14 12:40:46.379226+00:00" . "Example of 1 hour wav file recorded within the Soundscape Project" . . "Wav File example" . "2021-12-14 12:18:53.138358+00:00" . . . . . "https://w3id.org/ro-id/3f68f32e-1b6d-4689-acee-b797ba2c8429" . . "2021-12-14 12:46:56.272172+00:00" . "2021-12-14 12:46:56.272740+00:00" . "This RO process SPL data obtained within the Soundscape Project" . . "RO to process SPL data" . "2021-12-14 12:46:56.272172+00:00" . . . . . "https://owncloud.ve.ismar.cnr.it/owncloud/index.php/s/1kY77cVcA4rxxYt" . . "2021-12-14 12:10:14.497389+00:00" . "2021-12-14 12:28:32.196671+00:00" . "Dataset of wav files recorded within the Soundscape Project (available soon)" . . "Soundscape WAV file Dataset" . "2021-12-14 12:10:14.497389+00:00" . . . . . . . "CNR ISMAR Venice" . "antonio.petrizzo@ve.ismar.cnr.it" . "Antonio Petrizzo" . . "IZOR" . "hrvoje.mihanovic@izor.hr" . "Mihanović Hrvoje" . . "University of Gdańsk" . "jakub.zdroik@gmail.com" . "Zdroik Jakub" . . "IZOR" . "predrag.vukadin@hrbi.hr" . "Vukadin Predrag" . . . "2026-03-03T16:44:33.942+01:00"^^ . . . . "Soundscape WAV data to Sound Pressure Levels" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "qzIX4HTz9hjbhjoeXwnvAqV+6MYolQY01ugP4BrXoksE5T16PPm5H13sAg1PSmI3ePN5ycUEfw3IGOiv9vx55xjwiE9L2CQKi7OVHItCDB2b9L11p1H7qqFpHH1YDxEal/flongxgrT/VTKFID1PkQwQQnS1pOhslYP1b1eBS4dOBZSqj4JfMh1D8imb6EoFLCc/BC0HGh/evo57YtI6eSXEsfFf/cz+xefEJn8VhpcJI/VfZPBlhyFBNmVu/uMKsl5Ru/EtMZoWdLCoq5eyigd7tRAjmgzt0Budt+Z7wC0jKSR/BcQkAQa1Ab+N2t7ntgYXbqYpjV9oyJXbqeqyQw==" . . . . . . . "" . "Acoustics" . . . "Asdrubali" . . "meteorology" . . "disease nan" . . "map special issue" . . "microbiology" . . "medicine" . . "virus" . . "noise" . . "naan" . . "climate" . . "disease" . . "noise climate" . . "special issue" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . "3798"^^ . "https://api.rohub.org/api/ros/92f6334f-26fc-4181-bc0c-ef2725ba3ebc/crate/download/" . . "2021-12-10 09:56:44.923361+00:00" . "2025-03-05 02:45:34.918805+00:00" . "2021-12-10 09:56:44.923361+00:00" . "nan" . "application/ld+json" . . "https://w3id.org/ro-id/92f6334f-26fc-4181-bc0c-ef2725ba3ebc" . . "Noise Mapping Special Issue: The noise climate at the time of SARS-CoV-2 Virus/COVID-19 Disease" . "MANUAL" . . . . . . "Foglini, Federica. \"Noise Mapping Special Issue: The noise climate at the time of SARS-CoV-2 Virus/COVID-19 Disease.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/92f6334f-26fc-4181-bc0c-ef2725ba3ebc." . . "178"^^ . "https://api.rohub.org/api/resources/51ed4ce5-1bb0-43bb-bf96-a924faf972ce/download/" . . "2021-12-10 09:56:48.725077+00:00" . "2021-12-10 09:56:48.726109+00:00" . "nan" . "text/plain" . . "Noise Mapping Special Issue: The noise climate at the time of SARS-CoV-2 Virus/COVID-19 Disease" . "2021-12-10 09:56:48.725077+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:44:28.377+01:00"^^ . . . . "Noise Mapping Special Issue: The noise climate at the time of SARS-CoV-2 Virus/COVID-19 Disease" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "BYm46NkQNxuqAGY7iHEDuBj4DfZ2KH82ahQJKalfQXdUvrsWXRrGloXlef5U1Be4o+N0XCiaZ09gzjOsI4ePK2BB0T1SMlyt1PfbO8L26hO/IbEl78CWK6UbLNPshOPsteKEseStnhyHyntPXrY9WMySbBzWJAqhYzbGZrbaqrU4NtAcAr/xOS3DBAAamiq1jzxlySTMBj65dmxe5khN+JDNxaMPOlruPqgHG36RqsVwK2R0VWbkSuOnoG0Apy9g6A/kgZBoaBf4PG1LpUFh0p0+fxFwhZt9GZ3WyWGmFw6vvVmwuVxGcdzZ06ApN3UBQJE8ElgRpsJ/xYLkIA721A==" . . . . . . . "" . "Biology" . . "" . "Ecology" . . . "biology" . . "Biol. Conserv" . . "zoology" . . "botany" . . "Manenti" . . "ecology" . . "countrywide lockdown" . . "Mercurio" . . "medicine" . . "social media information" . . "taxa" . . "data" . . "zoonosis" . . "mean solar day" . . "social media" . . "wildlife" . . "field" . . "protected area" . . "conservation" . . "result" . . "Mori" . . "Italy" . . "crisis" . . "good" . . "field data" . . "wildlife conservation" . . "lockdown effect" . . "lockdown" . "Mori" . . . "bad" . . "insight" . . "information" . . "European" . . "impact" . . "Italy" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . . "5896"^^ . "https://api.rohub.org/api/ros/29aa2c18-e5b1-4c19-9273-cfe40ab9c42a/crate/download/" . . "2021-12-10 09:56:51.962215+00:00" . "2025-03-05 01:26:36.933640+00:00" . "2021-12-10 09:56:51.962215+00:00" . "The COVID-19 pandemic zoonosis has determined extensive lockdowns worldwide that provide an unprecedented opportunity to understand how large-scale shifts of human activities can impact wildlife. We addressed the impacts of the COVID-19 lockdown on wildlife in Italy, the first European country that performed a countrywide lockdown, and identified potentially beneficial and negative consequences for wildlife conservation and management. We combined a qualitative analysis of social media information with field data from multiple taxa, data from citizen science projects, and questionnaires addressed to managers of protected areas. Both social media information and field data suggest that a reduction of human disturbance allowed wildlife to exploit new habitats and increase daily activity. The field data confirmed some positive effects on wildlife conservation, such as an increase in species richness in temporarily less-disturbed habitats, a higher breeding success of an aerial insectivorous bird, and reduction of road-killing of both amphibians and reptiles. Despite some positive effects, our data also highlighted several negative impacts of the COVID-19 crisis on wildlife. The lower human disturbance linked to lockdown was in fact beneficial for invasive alien species. Results from questionnaires addressed to managers of protected areas highlighted that the COVID-19 lockdown interrupted actions for the control of invasive alien species, and hampered conservation activities targeting threatened taxa. Furthermore, the reduction of enforcement could cause a surge of illegal killing of wildlife. The COVID-19 crisis, besides having deep socio-economic impacts, might profoundly affect wildlife conservation, with potentially long-lasting effects." . "application/ld+json" . . "https://w3id.org/ro-id/29aa2c18-e5b1-4c19-9273-cfe40ab9c42a" . . "The good, the bad and the ugly of COVID-19 lockdown effects on wildlife conservation: Insights from the first European locked down country" . "MANUAL" . . . . . . "Foglini, Federica. \"The good, the bad and the ugly of COVID-19 lockdown effects on wildlife conservation: Insights from the first European locked down country.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/29aa2c18-e5b1-4c19-9273-cfe40ab9c42a." . . "282"^^ . "https://api.rohub.org/api/resources/7a8963f4-9cb4-464c-b34e-fdf45cd02627/download/" . . "2021-12-10 09:56:54.931117+00:00" . "2021-12-10 09:56:54.932157+00:00" . "The COVID-19 pandemic zoonosis has determined extensive lockdowns worldwide that provide an unprecedented opportunity to understand how large-scale shifts of human activities can impact wildlife. We addressed the impacts of the COVID-19 lockdown on wildlife in Italy, the first European country that performed a countrywide lockdown, and identified potentially beneficial and negative consequences for wildlife conservation and management. We combined a qualitative analysis of social media information with field data from multiple taxa, data from citizen science projects, and questionnaires addressed to managers of protected areas. Both social media information and field data suggest that a reduction of human disturbance allowed wildlife to exploit new habitats and increase daily activity. The field data confirmed some positive effects on wildlife conservation, such as an increase in species richness in temporarily less-disturbed habitats, a higher breeding success of an aerial insectivorous bird, and reduction of road-killing of both amphibians and reptiles. Despite some positive effects, our data also highlighted several negative impacts of the COVID-19 crisis on wildlife. The lower human disturbance linked to lockdown was in fact beneficial for invasive alien species. Results from questionnaires addressed to managers of protected areas highlighted that the COVID-19 lockdown interrupted actions for the control of invasive alien species, and hampered conservation activities targeting threatened taxa. Furthermore, the reduction of enforcement could cause a surge of illegal killing of wildlife. The COVID-19 crisis, besides having deep socio-economic impacts, might profoundly affect wildlife conservation, with potentially long-lasting effects." . "text/plain" . . "The good, the bad and the ugly of COVID-19 lockdown effects on wildlife conservation: Insights from the first European locked down country" . "2021-12-10 09:56:54.931117+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:44:27.009+01:00"^^ . . . . "The good, the bad and the ugly of COVID-19 lockdown effects on wildlife conservation: Insights from the first European locked down country" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "jo+vzmYeHy6V79go+4YOcF4+XUpP8Nak59ysigOUxoBu6NOzQzjSdZoXvoKg9+K39yWe0vxyrbbyrk9ojJ2nuSZBNN7bBdjbpJZXutkuLV8x7KHYOgqh5m5ZUDM5Uc9tOR0S3RjohXbk/BKP+mtlIpbQ+jHp6qPrZN5gJ5qoOpxtbtOFxm//AgsIZFXa6FpT1Bh8xrktONtxgoaOp8M4eZuNi+CPky4Ix6hugxDNtSVfVV1K8eETrhbmp3gfFY/5pqNGL9dI2E3AJRANAcVvf04GM+9izOvqdr9ANYAUmVDp/Sd5GkJw79wV1VMBxMH/AQtH7Ie+GCNOPm5wKErmnQ==" . . . . . . . "" . "Medical science" . . . "Picano" . . "wind nan" . . "myocardial infarction" . . "naan" . . "answer" . . "wind" . . "Europe" . . "contaminate" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . "3169"^^ . "https://api.rohub.org/api/ros/7cb18233-aaf5-4986-9a79-199d1e539d3c/crate/download/" . . "2021-12-10 09:56:57.569230+00:00" . "2025-03-05 01:28:03.080321+00:00" . "2021-12-10 09:56:57.569230+00:00" . "nan" . "application/ld+json" . . "https://w3id.org/ro-id/7cb18233-aaf5-4986-9a79-199d1e539d3c" . . "Where have all the myocardial infarctions gone during lockdown? The answer is blowing in the less-polluted wind" . "MANUAL" . . . . . . "Foglini, Federica. \"Where have all the myocardial infarctions gone during lockdown? The answer is blowing in the less-polluted wind.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/7cb18233-aaf5-4986-9a79-199d1e539d3c." . . "183"^^ . "https://api.rohub.org/api/resources/a96415f7-cab2-4f50-a858-51a13b0a437b/download/" . . "2021-12-10 09:57:00.079271+00:00" . "2021-12-10 09:57:00.080447+00:00" . "nan" . "text/plain" . . "Where have all the myocardial infarctions gone during lockdown? The answer is blowing in the less-polluted wind" . "2021-12-10 09:57:00.079271+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:44:25.671+01:00"^^ . . . . "Where have all the myocardial infarctions gone during lockdown? The answer is blowing in the less-polluted wind" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "Mim4KxhNXHxbZ6094p0sjuMFisLW4BzaUtzgRYol2Lp9MiNI6/fo/OJwCbvlOIaxYGUSOEq7162XqEe5r3nf3S2olFeamW4fDJwLAPaStWWkzv/IQK2niYRzxthzUSq8npKNhezm6skb3+NYkxFvGUi9AY3TLiWm4/SqUZHYFqHJueA76kYdBKScsIeASW/eeo+gtICSdrrL2A5Rv5loy5/oqf6Eyp5wP0MdeHVbT6DKgMw7Rnun6n4tw1K09p4PdYcTuy5G/OJ/YgEUMa16A6trDKzfm5T17wVWyZ70ypjUXxbJsDKVybh3mlGNfCObEdHH197WJDFNZzc2AkOJWQ==" . . . . . . . "" . "Medical science" . . . "candidate target gene" . . "based drug" . . "Stolfi" . "Proximity-" . . . "repurpose strategy" . . "Network Proximity-based drug" . . "volume 8" . . "anatomy" . . "medicine" . . "gene" . . "cell" . . "drug" . . "drug" . . "pandemic" . . "gene expression" . . "tissue" . . "epidemiology" . . "therapy" . . "strategy" . . "standardisation" . . "candidate" . . "pharmacology" . . "network medicine approach" . . "genetics" . . "Network" . . "aggregation" . . "gene expression data" . . "part" . . "aim" . . "genes candidate" . . "information" . . "Dev. Biol. 2020" . . "off-the-shelf drug" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . "5737"^^ . "https://api.rohub.org/api/ros/d8e686b6-199a-4296-88fa-3c03cdb5a4c1/crate/download/" . . "2021-12-10 09:57:03.314406+00:00" . "2025-03-05 00:50:11.962750+00:00" . "2021-12-10 09:57:03.314406+00:00" . "The ongoing COVID-19 pandemic still requires fast and effective efforts from all fronts, including epidemiology, clinical practice, molecular medicine, and pharmacology. A comprehensive molecular framework of the disease is needed to better understand its pathological mechanisms, and to design successful treatments able to slow down and stop the impressive pace of the outbreak and harsh clinical symptomatology, possibly via the use of readily available, off-the-shelf drugs. This work engages in providing a wider picture of the human molecular landscape of the SARS-CoV-2 infection via a network medicine approach as the ground for a drug repurposing strategy. Grounding on prior knowledge such as experimentally validated host proteins known to be viral interactors, tissue-specific gene expression data, and using network analysis techniques such as network propagation and connectivity significance, the host molecular reaction network to the viral invasion is explored and exploited to infer and prioritize candidate target genes, and finally to propose drugs to be repurposed for the treatment of COVID-19. Ranks of potential target genes have been obtained for coherent groups of tissues/organs, potential and distinct sites of interaction between the virus and the organism. The normalization and the aggregation of the different scores allowed to define a preliminary, restricted list of genes candidates as pharmacological targets for drug repurposing, with the aim of contrasting different phases of the virus infection and viral replication cycle." . "application/ld+json" . . "https://w3id.org/ro-id/d8e686b6-199a-4296-88fa-3c03cdb5a4c1" . . "Designing a Network Proximity-Based Drug Repurposing Strategy for COVID-19" . "MANUAL" . . . . . . "Foglini, Federica. \"Designing a Network Proximity-Based Drug Repurposing Strategy for COVID-19.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/d8e686b6-199a-4296-88fa-3c03cdb5a4c1." . . "169"^^ . "https://api.rohub.org/api/resources/424605bc-3aaa-4d60-b516-8c57721e8c90/download/" . . "2021-12-10 09:57:05.938504+00:00" . "2021-12-10 09:57:05.939802+00:00" . "The ongoing COVID-19 pandemic still requires fast and effective efforts from all fronts, including epidemiology, clinical practice, molecular medicine, and pharmacology. A comprehensive molecular framework of the disease is needed to better understand its pathological mechanisms, and to design successful treatments able to slow down and stop the impressive pace of the outbreak and harsh clinical symptomatology, possibly via the use of readily available, off-the-shelf drugs. This work engages in providing a wider picture of the human molecular landscape of the SARS-CoV-2 infection via a network medicine approach as the ground for a drug repurposing strategy. Grounding on prior knowledge such as experimentally validated host proteins known to be viral interactors, tissue-specific gene expression data, and using network analysis techniques such as network propagation and connectivity significance, the host molecular reaction network to the viral invasion is explored and exploited to infer and prioritize candidate target genes, and finally to propose drugs to be repurposed for the treatment of COVID-19. Ranks of potential target genes have been obtained for coherent groups of tissues/organs, potential and distinct sites of interaction between the virus and the organism. The normalization and the aggregation of the different scores allowed to define a preliminary, restricted list of genes candidates as pharmacological targets for drug repurposing, with the aim of contrasting different phases of the virus infection and viral replication cycle." . "text/plain" . . "Designing a Network Proximity-Based Drug Repurposing Strategy for COVID-19" . "2021-12-10 09:57:05.938504+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:44:24.263+01:00"^^ . . . . "Designing a Network Proximity-Based Drug Repurposing Strategy for COVID-19" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "acarS2qBHmUbBirGMs1T6UatRap7v06A9gYYdE+4fHppou78CrB5/sq6Ex28raXkNyBKxjWkCS3lWtZgo3XyRf2Vu31w9IVnlxTd1K1PNV6abVqnNcJYL2T5c3fkvo3ogBBkEJ2bAr6RWc89ca6HTDTBkmvpabkbSR4QHIy/40YJlSxMi+BVwaHBb55cNgu1MuzWF6HQGfJqThF0IGOOhdmazhdr4UWEcqiId9UPNoK1k2XRqvsZYp2AUUk4NvoSyvaySF0s55q8rM20v/in3J4IBmZ2ycmrOMPTKzhJggFG7ayy16urXc9sVVYQM2uNOQSRAdTb2lEikIJ9JtIQbw==" . . . . . . . "" . "Biology" . . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "Giusiano, S; Laura, P; Iazzolino, B; Mastro, E; Arcari, M; Palumbo, F; Torrieri, MC; Bombaci, A; Grassano, M; Cabras, S; Di Pede, F; DeMattei, F; Matteoni, E; Solero, L; Daviddi, M; Salamone, P; Fuda, G; Manera, U; Canosa, A; Chio, A; Calvo, A; Moglia, C; Vasta, R. Amyotrophic lateral sclerosis caregiver burden and patients' quality of life during COVID-19 pandemic." . . "55.873402312842366" . "91.8" . "caregiver" . . "5.911330049261084" . "4.8" . "burden" . . "18.96551724137931" . "15.4" . "patient" . . "15.394088669950738" . "12.5" . "lateral Scher" . . "4.583602324080052" . "7.1" . "covid-QoL questionnaire" . . "4.777275661717237" . "7.4" . "Laura" . . "6.686046511627906" . "6.9" . "quality of life" . . "8.497536945812808" . "6.9" . "lockdown" . . "6.650246305418719" . "5.4" . "patients quality of life" . . "10.974822466107165" . "17.0" . "Torrieri" . . "6.395348837209302" . "6.6" . "Objective: To assess patients Quality of life (QoL) and the burden of their caregivers during Covid-19 pandemic and specifically the impact of two-month lockdown period." . . "20.9373097991479" . "34.4" . "life sciences" . . "86.23743515548426" . "0.9878090620040894" . "Amyotrophic lateral sclerosis caregiver burden and patients' quality of life during COVID-19 pandemic." . . "8.88618381010347" . "14.6" . "burden" . . "13.75968992248062" . "14.2" . "Giusiano" . . "6.492248062015504" . "6.7" . "patient" . . "9.496124031007753" . "9.8" . "Matteoni" . . "6.492248062015504" . "6.7" . "Palumbo" . . "6.87984496124031" . "7.1" . "Mastro" . . "7.170542635658914" . "7.4" . "Medical staff" . . "Health/Medical profession/Medical staff" . "caregiver burden" . . "3.55067785668173" . "5.5" . "In Apr-2020" . . "Music" . . "Arts, culture and entertainment/Arts and entertainment/Music" . "Health" . . "Health" . "health status" . . "4.712717882504841" . "7.3" . "geology" . . "100.0" . "1.4761965870857239" . "medicine" . . "51.09717868338558" . "16.3" . "quality of life" . . "0.45190445448676564" . "0.7" . "Musical instrument" . . "Arts, culture and entertainment/Arts and entertainment/Music/Musical instrument" . "Lateral Scher." . . "4.930006086427268" . "8.1" . "According to the COVID-QoL questionnaire, caregivers perceived lower family help compared to patients (p < 0.001). Conclusions: Restricted measures of lockdown period during COVID-19 pandemic did not result in a significant reduction of QoL in our cohort of ALS patients, while caregiver burden significantly increased." . . "9.373097991479003" . "15.4" . "service-account-enrichment" . . . . "5787"^^ . "https://api.rohub.org/api/ros/976aabb0-7b38-441a-96b3-49844ba773c5/crate/download/" . . "2021-12-10 09:57:08.786289+00:00" . "2025-03-05 00:46:17.227887+00:00" . "2021-12-10 09:57:08.786289+00:00" . "Objective: To assess patients Quality of life (QoL) and the burden of their caregivers during Covid-19 pandemic and specifically the impact of two-month lockdown period. Methods: In April 2020, a total of 60 patients and 59 caregivers were administered by phone scales assessing patients' QoL (McGill QoL Questionnaire), general health status (EQ-5D-5L), and caregiver burden (Zarit Burden Interview). The administration was repeated one month after the end of lockdown measures, with the addition of a qualitative questionnaire (COVID-QoL Questionnaire) exploring family reorganization and personal perception of lock down. Results: QoL and perceived health status did not worsen during lockdown, while caregiver burden increased (p = 0.01). Patient's QoL and caregiver burden were inversely correlated at T1 (ZBI total score mildly correlated with Mc Gill existential subscore, p = 0.02, rho = 0.30 and with Mc Gill total score, p = 0.05, rho = 0.265). No significant correlations were found at T2. According to the COVID-QoL questionnaire, caregivers perceived lower family help compared to patients (p < 0.001). Conclusions: Restricted measures of lockdown period during COVID-19 pandemic did not result in a significant reduction of QoL in our cohort of ALS patients, while caregiver burden significantly increased. ALS motor impairment may have played a role in the unchanged life conditions of patients. Instead, the restriction of family help for primary caregivers could be responsible of their increased burden, reflecting the importance of a wide social support in the management of this clinical condition." . "application/ld+json" . . "https://w3id.org/ro-id/976aabb0-7b38-441a-96b3-49844ba773c5" . . "Amyotrophic lateral sclerosis caregiver burden and patients' quality of life during COVID-19 pandemic" . "MANUAL" . . . . . . "https://w3id.org/ro-id/6d3f4b98-f443-4ac9-a315-f507af7fef8f" . "https://w3id.org/ro-id/d6d92bba-7253-480d-8865-9febf47dd360" . "https://w3id.org/ro-id/03d607ad-a893-4182-803e-267d1c4055f9" . "https://w3id.org/ro-id/064f631e-148d-4b96-9f7e-6c2a443fb3e6" . "https://w3id.org/ro-id/0c2c448b-6c1e-4389-ba4e-ef1c09698d5c" . "https://w3id.org/ro-id/2abfa715-c6d2-4c1b-a5b7-984f4808fa6b" . "https://w3id.org/ro-id/2b9531f4-4665-4788-8d56-905be134505b" . "https://w3id.org/ro-id/b14f5c48-ce65-4004-9b28-a05867c2ce69" . "https://w3id.org/ro-id/bd878af8-e610-4e24-91bd-fffad7a49745" . "https://w3id.org/ro-id/c112f497-0e9a-4b36-9bfd-a5eba7a65ffd" . "https://w3id.org/ro-id/d5a486df-f0c9-403b-b432-eaa4f07ec76e" . "https://w3id.org/ro-id/e86d68c5-9de1-478f-a71b-12a4e77e56d7" . "https://w3id.org/ro-id/e90a81b0-d1ba-4c7e-ab47-e1f0becfc3f0" . "https://w3id.org/ro-id/6a181bdd-a41d-4607-855b-f66cac92d918" . "https://w3id.org/ro-id/f90f8d44-ec37-41a7-a333-98460c6f3749" . "https://w3id.org/ro-id/5706c642-6990-423e-b4e8-48b09f23c877" . "https://w3id.org/ro-id/5f9352ea-a53e-49b1-9e24-29c130e26058" . "https://w3id.org/ro-id/61fb2862-f952-42cd-82b8-54b6ee5c405f" . "https://w3id.org/ro-id/6f6d5a05-2473-4c4e-a8f1-5ba182196f62" . "https://w3id.org/ro-id/b6e8f5b0-bc52-45f1-b610-3b4e415c1de6" . "https://w3id.org/ro-id/e37bebbc-22b8-4c1f-9bda-92a7b7f8d082" . "https://w3id.org/ro-id/228129df-3a19-4887-ac5e-d2171766317c" . "https://w3id.org/ro-id/36596768-2dbe-48ce-b242-07fa1ed16420" . "https://w3id.org/ro-id/401897c0-b558-46c4-8f86-a12a9c6832e6" . "https://w3id.org/ro-id/4073766e-d49e-4ea8-9b80-ba1592abf1f5" . "https://w3id.org/ro-id/491e5b6e-6627-443c-9dac-7d9e883f6d8a" . "https://w3id.org/ro-id/4e0274ed-b67e-43cf-8dbd-c9178035dc94" . "https://w3id.org/ro-id/528973ff-cba4-4ad9-a50b-8e40d7160856" . "https://w3id.org/ro-id/54ddf13c-be80-4e80-9659-a5bfcb6e1388" . "https://w3id.org/ro-id/9c7d18bf-2ee7-4d88-9850-bfa743d8b18d" . "https://w3id.org/ro-id/b5ff016e-41d6-4107-aad4-7e37669e4240" . "https://w3id.org/ro-id/cb38c001-1cdd-4371-a83b-f8db95d813f2" . "https://w3id.org/ro-id/f041449e-cee6-4256-9ab4-c08638710c11" . "https://w3id.org/ro-id/f5c58b71-5861-43c4-aa29-a691a79c71b5" . "https://w3id.org/ro-id/3c297c11-9d1b-4d79-be6a-669b6bcd7b10" . "https://w3id.org/ro-id/a383a2d6-5c86-4908-8281-e05e3d8dc9cf" . "https://w3id.org/ro-id/a4ce82da-af3d-467d-b069-3bedad6a70da" . "https://w3id.org/ro-id/cbe23dbd-61ca-4f1f-b0a2-3a81a0fd7778" . "https://w3id.org/ro-id/12946d2a-d04c-4174-ab10-93aa7ba6fa75" . "https://w3id.org/ro-id/1eb27e46-99fb-4ec4-b4d6-d3e577cd5ee2" . "https://w3id.org/ro-id/2cebcd12-f022-4bbd-b94e-ac27e6a92a11" . "https://w3id.org/ro-id/59839531-a007-4a10-97ea-6b380ba0378f" . "https://w3id.org/ro-id/67d5d9c6-552e-43ae-9edd-e982277aabc3" . "https://w3id.org/ro-id/6dcc0d8b-390f-4ac2-81f0-31a9eb40dd60" . "https://w3id.org/ro-id/a45e45d5-c012-4e9b-ab2f-7438c8ca8573" . "https://w3id.org/ro-id/cce7f9b5-40df-4186-8eb8-0c0d59e765b6" . "https://w3id.org/ro-id/d097b90d-0cb9-497e-ba91-6c51dbdfd038" . "https://w3id.org/ro-id/dc791ff0-52f3-4f53-9f18-3d8a289c449d" . "https://w3id.org/ro-id/01068300-9d4b-4ed6-a3d9-aae5f9136d2f" . "https://w3id.org/ro-id/38960fff-d8a0-4219-8142-ac6b3151cf05" . "https://w3id.org/ro-id/3dcfab9b-0a83-4596-860e-cbebae31bbfb" . "https://w3id.org/ro-id/8611b3b8-61ce-464d-8b21-01922e2c3ea8" . "https://w3id.org/ro-id/8de398b6-2b7c-4418-baf6-0845724bbb97" . "https://w3id.org/ro-id/5e1ea08c-4799-4d97-8c22-d1737f2db8a2" . "Foglini, Federica. \"Amyotrophic lateral sclerosis caregiver burden and patients' quality of life during COVID-19 pandemic.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/976aabb0-7b38-441a-96b3-49844ba773c5." . . "419"^^ . "https://api.rohub.org/api/resources/e8d6574a-b552-475b-8d7f-04a8dcf5b90b/download/" . . "2021-12-10 09:57:11.268079+00:00" . "2021-12-10 09:57:11.269490+00:00" . "Objective: To assess patients Quality of life (QoL) and the burden of their caregivers during Covid-19 pandemic and specifically the impact of two-month lockdown period. Methods: In April 2020, a total of 60 patients and 59 caregivers were administered by phone scales assessing patients' QoL (McGill QoL Questionnaire), general health status (EQ-5D-5L), and caregiver burden (Zarit Burden Interview). The administration was repeated one month after the end of lockdown measures, with the addition of a qualitative questionnaire (COVID-QoL Questionnaire) exploring family reorganization and personal perception of lock down. Results: QoL and perceived health status did not worsen during lockdown, while caregiver burden increased (p = 0.01). Patient's QoL and caregiver burden were inversely correlated at T1 (ZBI total score mildly correlated with Mc Gill existential subscore, p = 0.02, rho = 0.30 and with Mc Gill total score, p = 0.05, rho = 0.265). No significant correlations were found at T2. According to the COVID-QoL questionnaire, caregivers perceived lower family help compared to patients (p < 0.001). Conclusions: Restricted measures of lockdown period during COVID-19 pandemic did not result in a significant reduction of QoL in our cohort of ALS patients, while caregiver burden significantly increased. ALS motor impairment may have played a role in the unchanged life conditions of patients. Instead, the restriction of family help for primary caregivers could be responsible of their increased burden, reflecting the importance of a wide social support in the management of this clinical condition." . "text/plain" . . "Amyotrophic lateral sclerosis caregiver burden and patients' quality of life during COVID-19 pandemic" . "2021-12-10 09:57:11.268079+00:00" . . . . . . "Lou Gehrig's disease" . . "9.496124031007753" . "9.8" . "life sciences (general)" . . "86.23743515548426" . "0.9878090620040894" . "ALS patient" . . "7.4241446094254355" . "11.5" . "space sciences" . . "13.76256484451574" . "0.15764367580413818" . "questionnaire" . . "4.1871921182266005" . "3.4" . "health" . . "6.007751937984496" . "6.2" . "Medical profession" . . "Health/Medical profession" . "Lou Gehrig's disease" . . "12.68472906403941" . "10.3" . "total" . . "4.064039408866995" . "3.3" . "status" . . "5.910852713178294" . "6.1" . "space sciences (general)" . . "13.76256484451574" . "0.15764367580413818" . "amyotrophic lateral sclerosis caregiver burden" . . "8.005164622336991" . "12.4" . "sclerosis caregiver burden" . . "44.480309877340225" . "68.9" . "sclerosis" . . "7.0197044334975365" . "5.7" . "linguistics" . . "48.90282131661442" . "15.6" . "patients' quality of life" . . "11.039380245319562" . "17.1" . "Epidemic" . . "Health/Diseases and conditions/Communicable disease/Epidemic" . "health" . . "8.374384236453201" . "6.8" . "status" . . "8.251231527093596" . "6.7" . "quality of life" . . "6.2984496124031" . "6.5" . "QoL" . . "8.91472868217054" . "9.2" . "earth sciences" . . "100.0" . "1.4761965870857239" . "service-account-generation-service" . . . "2026-03-03T16:44:22.880+01:00"^^ . . . . "Amyotrophic lateral sclerosis caregiver burden and patients' quality of life during COVID-19 pandemic" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "o3mPwB6ayHbqDdieDh4itA3WbeuZ57iPGLjN/ojP3vNFj4+G4SApuhEpWm6A1vT6fMkIgKVA+ZEpV+6c2BQieaHl/rSpIFCK6yAnUM+2Q/06ufNHU++r7Qe19yq9WKwZ0qfT2mi1sPNmCfuCIjUllMyc20yTGxe9DPNkKYhF+0O8ZMgXmkqtmxwk6W2dXUu5sqaTaTjK47H1otOB4bJAz77kRHOpc2efb7p7u7/xqMyUQypy2P/bp1t9HxP/uX3sFFigdocycW948ktfPj6gVEqPJK+yZbQfMjIbpFuHFl8eFwUCcJsOiO/lXGNjV8RI+BLNQa0wh+nYfXfGm5lbXw==" . . . . . . . "" . "Information science" . . . "epidemic modeling" . . "epidemic scenario" . . "agent-based framework" . . "software library" . . "medicine" . . "public intervention" . . "pandemic" . . "epidemic" . . "system" . . "code library" . . "restriction" . . "researcher" . . "Inf. Syst." . . "theoretical account" . . "infectious disease" . . "specialization" . . "Rossetti" . . "epidemic" . . "agent" . . "central bank intervention" . . "epidemic phenomena" . . "scenario" . . "information" . . "agent" . . "intervention" . . "agent-based framework for modeling" . . "framework for modeling" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . "4338"^^ . "https://api.rohub.org/api/ros/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/crate/download/" . . "2021-12-10 09:57:13.978205+00:00" . "2025-03-05 02:49:06.314579+00:00" . "2021-12-10 09:57:13.978205+00:00" . "Due to the SARS-CoV-2 pandemic, epidemic modeling is now experiencing a constantly growing interest from researchers of heterogeneous study fields. Indeed, due to such an increased attention, several software libraries and scientific tools have been developed to ease the access to epidemic modeling. However, only a handful of such resources were designed with the aim of providing a simple proxy for the study of the potential effects of public interventions (e.g., lockdown, testing, contact tracing). In this work, we introduce UTLDR, a framework that, overcoming such limitations, allows to generate what if epidemic scenarios incorporating several public interventions (and their combinations). UTLDR is designed to be easy to use and capable to leverage information provided by stratified populations of agents (e.g., age, gender, geographical allocation, and mobility patterns horizontal ellipsis ). Moreover, the proposed framework is generic and not tailored for a specific epidemic phenomena: it aims to provide a qualitative support to understanding the effects of restrictions, rather than produce forecasts/explanation of specific data-driven phenomena." . "application/ld+json" . . "https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf" . . "UTLDR: an agent-based framework for modeling infectious diseases and public interventions" . "MANUAL" . . . . . . "Foglini, Federica. \"UTLDR: an agent-based framework for modeling infectious diseases and public interventions.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf." . . "160"^^ . "https://api.rohub.org/api/resources/8aaf39d2-a3c4-4b21-9e4b-6c61716d4a41/download/" . . "2021-12-10 09:57:16.352435+00:00" . "2021-12-10 09:57:16.353576+00:00" . "Due to the SARS-CoV-2 pandemic, epidemic modeling is now experiencing a constantly growing interest from researchers of heterogeneous study fields. Indeed, due to such an increased attention, several software libraries and scientific tools have been developed to ease the access to epidemic modeling. However, only a handful of such resources were designed with the aim of providing a simple proxy for the study of the potential effects of public interventions (e.g., lockdown, testing, contact tracing). In this work, we introduce UTLDR, a framework that, overcoming such limitations, allows to generate what if epidemic scenarios incorporating several public interventions (and their combinations). UTLDR is designed to be easy to use and capable to leverage information provided by stratified populations of agents (e.g., age, gender, geographical allocation, and mobility patterns horizontal ellipsis ). Moreover, the proposed framework is generic and not tailored for a specific epidemic phenomena: it aims to provide a qualitative support to understanding the effects of restrictions, rather than produce forecasts/explanation of specific data-driven phenomena." . "text/plain" . . "UTLDR: an agent-based framework for modeling infectious diseases and public interventions" . "2021-12-10 09:57:16.352435+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:44:21.537+01:00"^^ . . . . "UTLDR: an agent-based framework for modeling infectious diseases and public interventions" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "EXxkrLxXLx4qSQrJwSLpE5mlL4G1Qe4C+INZz31rkmu9TKfW++G3PGOUkRt5ZZdiahrd8LVqGdmxDVTRGHo9bstR/WE1AQIHZNBK5c0Nq23AX3T+dVayqKthcG8n7A4vwUeVvkp7udHTptMLfiJ1aMtXRYAAmxjFGz0TtLAsP7yXovPKSuKghMgt6BzO9NCPhVhCt6sDy5My80l/ThWSRFW/htOUsuQwq4jIsInYnnUbLSTxBk9DmJqXQx7D/x/+RW6C817aaV5aSnij7b8nK7+zSHitaeV0fRi0RjNIl6Y2UhDj8yt+JNNkrbL4k+Yc1DY+Zfliwg+QhCShcf0aKQ==" . . . . . . . "" . "Information science" . . . "time frame" . . "Sweden" . . "human activities" . . "impact of the COVID-19 pandemic" . . "medicine" . . "pandemic" . . "times" . . "candela" . . "packet loss" . . "act" . . "impact" . . "local government" . . "Sweden" . . "Germany" . . "Italy" . . "Germany" . . "Europe" . . "Europe" . . "France" . . "whole of Europe" . . "large-scale study" . . "study" . . "whole" . . "Internet latency" . . "impact" . . "Italy" . . "Spain" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . "5113"^^ . "https://api.rohub.org/api/ros/4e5fe683-1b85-4457-8f22-5eccf858c728/crate/download/" . . "2021-12-10 09:57:18.925998+00:00" . "2025-03-05 00:55:11.439101+00:00" . "2021-12-10 09:57:18.925998+00:00" . "The COVID-19 pandemic dramatically changed the way of living of billions of people in a very short time frame. In this paper, we evaluate the impact on the Internet latency caused by the increased amount of human activities that are carried out on-line. The study focuses on Italy, which experienced significant restrictions imposed by local authorities, but results about Spain, France, Germany, Sweden, and the whole of Europe are also included. The analysis of a large set of measurements shows that the impact on the network can be significant, especially in terms of increased variability of latency. In Italy we observed that the standard deviation of the average additional delay - the additional time with respect to the minimum delay of the paths in the region - during lockdown is similar to 3 - 4 times as much as the value before the pandemic. Similarly, in Italy, packet loss is similar to 2 - 3 times as much as before the pandemic. The impact is not negligible also for the other countries and for the whole of Europe, but with different levels and distinct patterns." . "application/ld+json" . . "https://w3id.org/ro-id/4e5fe683-1b85-4457-8f22-5eccf858c728" . . "Impact of the COVID-19 pandemic on the Internet latency: A large-scale study" . "MANUAL" . . . . . . "Foglini, Federica. \"Impact of the COVID-19 pandemic on the Internet latency: A large-scale study.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/4e5fe683-1b85-4457-8f22-5eccf858c728." . . "145"^^ . "https://api.rohub.org/api/resources/d747417a-4572-48c5-ac2e-4adb0d8e042b/download/" . . "2021-12-10 09:57:21.206682+00:00" . "2021-12-10 09:57:21.208536+00:00" . "The COVID-19 pandemic dramatically changed the way of living of billions of people in a very short time frame. In this paper, we evaluate the impact on the Internet latency caused by the increased amount of human activities that are carried out on-line. The study focuses on Italy, which experienced significant restrictions imposed by local authorities, but results about Spain, France, Germany, Sweden, and the whole of Europe are also included. The analysis of a large set of measurements shows that the impact on the network can be significant, especially in terms of increased variability of latency. In Italy we observed that the standard deviation of the average additional delay - the additional time with respect to the minimum delay of the paths in the region - during lockdown is similar to 3 - 4 times as much as the value before the pandemic. Similarly, in Italy, packet loss is similar to 2 - 3 times as much as before the pandemic. The impact is not negligible also for the other countries and for the whole of Europe, but with different levels and distinct patterns." . "text/plain" . . "Impact of the COVID-19 pandemic on the Internet latency: A large-scale study" . "2021-12-10 09:57:21.206682+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:44:20.190+01:00"^^ . . . . "Impact of the COVID-19 pandemic on the Internet latency: A large-scale study" . "RSA" . 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"Government health care" . . "Health/Healthcare policy/Government health care" . "health" . . "5.073170731707317" . "5.2" . "55 weeks" . . "geology" . . "51.04037970026865" . "0.9339817762374878" . "warning" . . "12.48900615655233" . "14.2" . "care" . . "4.661389621811785" . "5.3" . "equipment" . . "6.156552330694811" . "7.0" . "sleep" . . "5.853658536585366" . "6.0" . "service" . . "8.70712401055409" . "9.9" . "earth sciences" . . "51.04037970026865" . "0.9339817762374878" . "pattern" . . "3.869832893579596" . "4.4" . "An Unsupervised Behavioral Modeling and Alerting System Based on Passive Sensing for Elderly Care." . . "7.986348122866894" . "11.7" . "sociology" . . "12.878787878787879" . "3.4" . "artificial intelligence" . . "6.420404573438874" . "7.3" . "Emilia Romagna" . . "https://www.wikidata.org/wiki/Q1263" . "service" . . "4.48780487804878" . "4.6" . "health care" . . "9.410729991204924" . "10.7" . "Italy" . . "https://www.wikidata.org/wiki/Q38" . "Music" . . "Arts, culture and entertainment/Arts and entertainment/Music" . "life sciences" . . "100.0" . "1.399156928062439" . "sleep" . . "6.772207563764292" . "7.7" . "health-status trajectory" . . "6.909361069836554" . "9.3" . "service system" . . "7.6523031203566125" . "10.3" . "Its aim is to keep the caregivers informed of subjects' health-status progressive trajectory, and alert them of health-related anomalies to enable objective on-demand healthcare service delivery at scale." . . "10.648464163822526" . "15.6" . "delivery" . . "3.5180299032541775" . "4.0" . "environmental sciences" . . "48.95962029973135" . "0.8959062099456787" . "IT-computer sciences" . . "Science and technology/Technology and engineering/IT-computer sciences" . "system" . . "13.463414634146341" . "13.8" . "detection" . . "6.420404573438874" . "7.3" . "unsupervised behavioral modeling" . . "1.263001485884101" . "1.7" . "trajectory" . . "4.661389621811785" . "5.3" . "healthcare" . . "8.097560975609758" . "8.3" . "Senior citizens" . . "Society/Mankind/Senior citizens" . "IT-computer sciences" . . "Science and technology/Technology and engineering/IT-computer sciences" . "passive sensing" . . "4.0861812778603275" . "5.5" . "Health" . . "Health" . "life sciences (general)" . . "100.0" . "1.399156928062439" . "computer science" . . "12.878787878787879" . "3.4" . "anomaly" . . "6.596306068601583" . "7.5" . "patient" . . "4.925241864555849" . "5.6" . "11 days in advance" . . "artificial intelligence" . . "5.560975609756097" . "5.7" . "Hu, R; Michel, B; Russo, D; Mora, N; Matrella, G; Ciampolini, P; Cocchi, F; Montanari, E; Nunziata, S; Brunschwiler, T. An Unsupervised Behavioral Modeling and Alerting System Based on Passive Sensing for Elderly Care." . . "68.25938566552901" . "100.0" . "Michel" . . "7.609756097560975" . "7.8" . "behavioral modeling" . . "13.00148588410104" . "17.5" . "Montanari" . . "7.609756097560975" . "7.8" . "service-account-enrichment" . . . . "6391"^^ . "https://api.rohub.org/api/ros/bf8eb7b1-21d6-4a42-b574-23a4279e5f16/crate/download/" . . "2021-12-10 09:57:24.261137+00:00" . "2025-03-05 00:46:22.398733+00:00" . "2021-12-10 09:57:24.261137+00:00" . "Artificial Intelligence in combination with the Internet of Medical Things enables remote healthcare services through networks of environmental and/or personal sensors. We present a remote healthcare service system which collects real-life data through an environmental sensor package, including binary motion, contact, pressure, and proximity sensors, installed at households of elderly people. Its aim is to keep the caregivers informed of subjects' health-status progressive trajectory, and alert them of health-related anomalies to enable objective on-demand healthcare service delivery at scale. The system was deployed in 19 households inhabited by an elderly person with post-stroke condition in the Emilia-Romagna region in Italy, with maximal and median observation durations of 98 and 55 weeks. Among these households, 17 were multi-occupancy residences, while the other 2 housed elderly patients living alone. Subjects' daily behavioral diaries were extracted and registered from raw sensor signals, using rule-based data pre-processing and unsupervised algorithms. Personal behavioral habits were identified and compared to typical patterns reported in behavioral science, as a quality-of-life indicator. We consider the activity patterns extracted across all users as a dictionary, and represent each patient's behavior as a 'Bag of Words', based on which patients can be categorized into sub-groups for precision cohort treatment. Longitudinal trends of the behavioral progressive trajectory and sudden abnormalities of a patient were detected and reported to care providers. Due to the sparse sensor setting and the multi-occupancy living condition, the sleep profile was used as the main indicator in our system. Experimental results demonstrate the ability to report on subjects' daily activity pattern in terms of sleep, outing, visiting, and health-status trajectories, as well as predicting/detecting 75% hospitalization sessions up to 11 days in advance. 65% of the alerts were confirmed to be semantically meaningful by the users. Furthermore, reduced social interaction (outing and visiting), and lower sleep quality could be observed during the COVID-19 lockdown period across the cohort." . "application/ld+json" . . "https://w3id.org/ro-id/bf8eb7b1-21d6-4a42-b574-23a4279e5f16" . . "An Unsupervised Behavioral Modeling and Alerting System Based on Passive Sensing for Elderly Care" . "MANUAL" . . . . . . "https://w3id.org/ro-id/1337aa66-38de-4d06-beb4-92e71c7583ac" . "https://w3id.org/ro-id/445bca3d-efe8-4366-935a-cf6de557d0dd" . "https://w3id.org/ro-id/97799977-efc6-4589-861c-9de48bfeb3e7" . "https://w3id.org/ro-id/df72c2ed-caad-4863-94b9-a947bdde5db3" . "https://w3id.org/ro-id/dfd154e3-0707-4690-876c-8bbc4216661c" . "https://w3id.org/ro-id/eb4a5ae3-f379-45b4-97ab-9629194b4fad" . "https://w3id.org/ro-id/48195f2c-471d-491d-8641-acf769afe4aa" . "https://w3id.org/ro-id/5400c508-5066-498d-b48e-87e0d5cfbcaf" . "https://w3id.org/ro-id/2f95e4b4-d498-42e3-9700-f38a40d5f2dc" . "https://w3id.org/ro-id/34d3b70a-659c-460a-8093-ace4e9ac4208" . "https://w3id.org/ro-id/38739332-e761-4023-8fa7-ed9aeca9a878" . "https://w3id.org/ro-id/3d34b04c-ac12-45a4-a834-e727d76b49ab" . "https://w3id.org/ro-id/3f4fb3d5-2707-483f-97b1-1f6c04cb5e60" . "https://w3id.org/ro-id/47b44765-b240-4c3d-9305-74c3271b20ff" . "https://w3id.org/ro-id/498c9d3d-f6d0-41cd-a76f-7347e879f4ba" . "https://w3id.org/ro-id/6044d4b8-00ea-4dd5-95c9-2dd4997a279f" . "https://w3id.org/ro-id/6246f417-f8c9-4a61-a8bc-78ed193cd71f" . "https://w3id.org/ro-id/71b398f4-b4bd-47f2-ac63-1c881cbd06af" . "https://w3id.org/ro-id/76555952-0a7a-48ac-9f2f-e853544aaf78" . "https://w3id.org/ro-id/9828191a-7398-4a1e-b32a-701a1fd1f5df" . "https://w3id.org/ro-id/985905e4-a26a-46da-bf2e-888372de9b1b" . "https://w3id.org/ro-id/d86f3590-ff12-467d-b95a-6810f9669fda" . "https://w3id.org/ro-id/e35dac02-2142-485d-8b77-c06e415fc9af" . "https://w3id.org/ro-id/ec73fb56-7025-4707-b6b1-7064052e4c59" . "https://w3id.org/ro-id/1e906297-2a99-4e15-bd17-7bfd1fbca935" . "https://w3id.org/ro-id/3d8980bc-b5d8-461f-a00a-36a943209dc4" . "https://w3id.org/ro-id/6296a98f-13e2-41a9-bfea-77b808eb4169" . "https://w3id.org/ro-id/c1b63d44-e7b6-41bb-ba2b-ae58ba5656d0" . "https://w3id.org/ro-id/15074093-af13-43db-af49-bbebd0c65f41" . "https://w3id.org/ro-id/59e8a1ee-03d2-422f-a089-822ddc873395" . "https://w3id.org/ro-id/67c6a2b3-1684-46ed-9871-6f829d210475" . "https://w3id.org/ro-id/8561c20f-5e1b-45a6-bb14-c78deda397eb" . "https://w3id.org/ro-id/85a6a283-546a-462b-a9ec-cbaa3f5b7f51" . "https://w3id.org/ro-id/86eaf06d-595a-4ad7-a924-1fe25254460b" . "https://w3id.org/ro-id/cfda43be-04e5-4366-b3d7-f3adf2c80bbf" . "https://w3id.org/ro-id/08a05435-d8c4-49d4-b69d-4d696ef224ef" . "https://w3id.org/ro-id/170ff614-9b1b-4fa6-91c6-34c940398f49" . "https://w3id.org/ro-id/3a86f8f6-cfba-4a5b-ae7c-0f5fc7d8a0b1" . "https://w3id.org/ro-id/48462d1c-f706-4a8e-b66e-d89b750dd4dc" . "https://w3id.org/ro-id/6c993b77-71c4-4f88-b235-d1f8c2085358" . "https://w3id.org/ro-id/82ae38cb-3105-408d-b064-607e28637479" . "https://w3id.org/ro-id/a3dd6660-7096-4800-bdf4-182c900aef6e" . "https://w3id.org/ro-id/b94ed5cf-7bb1-4431-803b-6e5be67be843" . "https://w3id.org/ro-id/bf565e1c-4d3d-4219-87ce-a2e37aa0abdd" . "https://w3id.org/ro-id/c7707710-6ce0-438e-9eca-c75ec289e130" . "https://w3id.org/ro-id/f1340319-0dbd-409e-bcb2-41090e3cb6c1" . "https://w3id.org/ro-id/ff2a58ef-2b66-4d4c-b85e-d9ac953328aa" . "https://w3id.org/ro-id/5cdf7768-9375-4650-b493-070ec8bc0e5c" . "https://w3id.org/ro-id/969f7b4b-d8bc-46f8-ada3-715d770d632b" . "https://w3id.org/ro-id/0cf3ba2d-6359-4670-b31b-1334347e6e8d" . "https://w3id.org/ro-id/60d0d7c5-1ddf-40c5-b388-2a3f211d508b" . "https://w3id.org/ro-id/60dbc21c-886b-459c-a0df-f68fdc42cc83" . "https://w3id.org/ro-id/75535675-a42e-48c4-973e-336f47690fd0" . "https://w3id.org/ro-id/864dbc7a-7334-4ca4-8ec4-d26685af7e69" . "https://w3id.org/ro-id/ba9dc9a6-0d23-41ed-8c48-50d5e9fbf4e5" . "https://w3id.org/ro-id/c6aa47f9-e7f2-4cb8-98cf-20c849b0c858" . "https://w3id.org/ro-id/f01fca29-d470-4958-9b5c-615ce34bc830" . "https://w3id.org/ro-id/f5eab9c0-479d-4bf4-b586-26d5f48b7f3d" . "https://w3id.org/ro-id/400c5a36-d55b-4c1e-804f-edf22973a268" . "https://w3id.org/ro-id/622525d4-a74e-46bf-a1da-bbfb31b8fc3a" . "https://w3id.org/ro-id/ad674471-d3b0-4b24-9818-4af2f4d51390" . "https://w3id.org/ro-id/fc18f000-3e2b-4361-a1f3-8487bbea1072" . "https://w3id.org/ro-id/1e419192-b4e1-4f72-a1fa-d34b972bf736" . "https://w3id.org/ro-id/a24ce1ab-a7ef-405c-9768-28f6c18338fd" . "Foglini, Federica. \"An Unsupervised Behavioral Modeling and Alerting System Based on Passive Sensing for Elderly Care.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/bf8eb7b1-21d6-4a42-b574-23a4279e5f16." . . "261"^^ . "https://api.rohub.org/api/resources/1e2da040-31b3-4194-a6a4-38d48959e0f4/download/" . . "2021-12-10 09:57:27.302384+00:00" . "2021-12-10 09:57:27.303841+00:00" . "Artificial Intelligence in combination with the Internet of Medical Things enables remote healthcare services through networks of environmental and/or personal sensors. We present a remote healthcare service system which collects real-life data through an environmental sensor package, including binary motion, contact, pressure, and proximity sensors, installed at households of elderly people. Its aim is to keep the caregivers informed of subjects' health-status progressive trajectory, and alert them of health-related anomalies to enable objective on-demand healthcare service delivery at scale. The system was deployed in 19 households inhabited by an elderly person with post-stroke condition in the Emilia-Romagna region in Italy, with maximal and median observation durations of 98 and 55 weeks. Among these households, 17 were multi-occupancy residences, while the other 2 housed elderly patients living alone. Subjects' daily behavioral diaries were extracted and registered from raw sensor signals, using rule-based data pre-processing and unsupervised algorithms. Personal behavioral habits were identified and compared to typical patterns reported in behavioral science, as a quality-of-life indicator. We consider the activity patterns extracted across all users as a dictionary, and represent each patient's behavior as a 'Bag of Words', based on which patients can be categorized into sub-groups for precision cohort treatment. Longitudinal trends of the behavioral progressive trajectory and sudden abnormalities of a patient were detected and reported to care providers. Due to the sparse sensor setting and the multi-occupancy living condition, the sleep profile was used as the main indicator in our system. Experimental results demonstrate the ability to report on subjects' daily activity pattern in terms of sleep, outing, visiting, and health-status trajectories, as well as predicting/detecting 75% hospitalization sessions up to 11 days in advance. 65% of the alerts were confirmed to be semantically meaningful by the users. Furthermore, reduced social interaction (outing and visiting), and lower sleep quality could be observed during the COVID-19 lockdown period across the cohort." . "text/plain" . . "An Unsupervised Behavioral Modeling and Alerting System Based on Passive Sensing for Elderly Care" . "2021-12-10 09:57:27.302384+00:00" . . . . . . "environmental science and management" . . "48.95962029973135" . "0.8959062099456787" . "sleep quality" . . "2.6745913818722142" . "3.6" . "Cocchi" . . "8.097560975609758" . "8.3" . "Healthcare provider" . . "Economy, business and finance/Economic sector/Financial and business service/Healthcare provider" . "health" . . "7.036059806508355" . "8.0" . "medicine" . . "14.393939393939394" . "3.8" . "linguistics" . . "51.8939393939394" . "13.7" . "sensor" . . "4.133685136323659" . "4.7" . "technology" . . "4.545454545454546" . "1.2" . "standing" . . "4.221635883905013" . "4.8" . "sleep profile" . . "4.383358098068351" . "5.9" . "Ciampolini" . . "7.121951219512195" . "7.3" . "sensing for elderly care" . . "3.1946508172362558" . "4.3" . "Artificial Intelligence in combination with the Internet of Medical Things enables remote healthcare services through networks of environmental and/or personal sensors." . . "13.10580204778157" . "19.2" . "Brunschwiler" . . "14.536585365853659" . "14.9" . "service-account-generation-service" . . . "2026-03-03T16:44:18.802+01:00"^^ . . . . "An Unsupervised Behavioral Modeling and Alerting System Based on Passive Sensing for Elderly Care" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "bWQb//aVvF1QbWoY2Vr9/osEUKyRIvJO83UNrmbceRK/4Z5axue1j+gupnQ2ovtWmDWS8VOrvOXbbL7DZ1j/tn3GPy3FxhROGQioANwwohQkQy6dknK4V6x5UdXtKfBFeV9V28arlnCIoOZtqfVQeLweo0iw1tQzB3lQVqJADPph/O7u6CoMTl8CGTTiKmCQKEeNOgPPeyE0QMTCbJLaZfojHprfBlVCPX8nOLWbeCShJv8T3gIgYdP9tVxTSOQ6JC/3b0vGaLOVS+W+TY+QOLOAW+r+OqrDBc+mqtDMrT2fHKCTyiR6EKAfFoPy7Y2DjKqzShwwoNnXz3/x1kYZJQ==" . . . . . . . "" . "Information science" . . . "contact-tracing app" . "Andrienko" . . . "data Priv" . . "den Hoven" . "Comande" . . . "avoiding location tracking" . "Journal of geophysical research. Biogeosciences" . . . "location data" . . "medicine" . . "personal data collection" . . "dynamics" . . "application software" . . "chain drive" . . "store vision" . . "help COVID-19 containment" . . "collection" . . "tracking" . . "containment" . . "privacy" . . "Lehmann" . . "van den Hoven" . . "tracing" . . "personal data" . . "information" . . "rebirth" . . "citizen" . . "detection" . . "locating" . . "Hoven" . . "Nanni" . . "control to individual citizen" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . "6557"^^ . "https://api.rohub.org/api/ros/56b65356-9a6b-4e59-b830-0b3c4ce82b81/crate/download/" . . "2021-12-10 09:57:31.095148+00:00" . "2025-03-05 00:59:13.365278+00:00" . "2021-12-10 09:57:31.095148+00:00" . "The rapid dynamics of COVID-19 calls for quick and effective tracking of virus transmission chains and early detection of outbreaks, especially in the phase 2 of the pandemic, when lockdown and other restriction measures are progressively withdrawn, in order to avoid or minimize contagion resurgence. For this purpose, contact-tracing apps are being proposed for large scale adoption by many countries. A centralized approach, where data sensed by the app are all sent to a nation-wide server, raises concerns about citizens' privacy and needlessly strong digital surveillance, thus alerting us to the need to minimize personal data collection and avoiding location tracking. We advocate the conceptual advantage of a decentralized approach, where both contact and location data are collected exclusively in individual citizens' personal data stores, to be shared separately and selectively (e.g., with a backend system, but possibly also with other citizens), voluntarily, only when the citizen has tested positive for COVID-19, and with a privacy preserving level of granularity. This approach better protects the personal sphere of citizens and affords multiple benefits: it allows for detailed information gathering for infected people in a privacy-preserving fashion; and, in turn this enables both contact tracing, and, the early detection of outbreak hotspots on more finely-granulated geographic scale. The decentralized approach is also scalable to large populations, in that only the data of positive patients need be handled at a central level. Our recommendation is two-fold. First to extend existing decentralized architectures with a light touch, in order to manage the collection of location data locally on the device, and allowthe user to share spatio-temporal aggregates - if and when they want and for specific aims - with health authorities, for instance. Second, we favour a longerterm pursuit of realizing a Personal Data Store vision, giving users the opportunity to contribute to collective good in the measure they want, enhancing self-awareness, and cultivating collective efforts for rebuilding society." . "application/ld+json" . . "https://w3id.org/ro-id/56b65356-9a6b-4e59-b830-0b3c4ce82b81" . . "Give more data, awareness and control to individual citizens, and they will help COVID-19 containment" . "MANUAL" . . . . . . "Foglini, Federica. \"Give more data, awareness and control to individual citizens, and they will help COVID-19 containment.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/56b65356-9a6b-4e59-b830-0b3c4ce82b81." . . "666"^^ . "https://api.rohub.org/api/resources/d67668a2-d6b7-4e6f-ab8b-a6de7f684a78/download/" . . "2021-12-10 09:57:34.657315+00:00" . "2021-12-10 09:57:34.658502+00:00" . "The rapid dynamics of COVID-19 calls for quick and effective tracking of virus transmission chains and early detection of outbreaks, especially in the phase 2 of the pandemic, when lockdown and other restriction measures are progressively withdrawn, in order to avoid or minimize contagion resurgence. For this purpose, contact-tracing apps are being proposed for large scale adoption by many countries. A centralized approach, where data sensed by the app are all sent to a nation-wide server, raises concerns about citizens' privacy and needlessly strong digital surveillance, thus alerting us to the need to minimize personal data collection and avoiding location tracking. We advocate the conceptual advantage of a decentralized approach, where both contact and location data are collected exclusively in individual citizens' personal data stores, to be shared separately and selectively (e.g., with a backend system, but possibly also with other citizens), voluntarily, only when the citizen has tested positive for COVID-19, and with a privacy preserving level of granularity. This approach better protects the personal sphere of citizens and affords multiple benefits: it allows for detailed information gathering for infected people in a privacy-preserving fashion; and, in turn this enables both contact tracing, and, the early detection of outbreak hotspots on more finely-granulated geographic scale. The decentralized approach is also scalable to large populations, in that only the data of positive patients need be handled at a central level. Our recommendation is two-fold. First to extend existing decentralized architectures with a light touch, in order to manage the collection of location data locally on the device, and allowthe user to share spatio-temporal aggregates - if and when they want and for specific aims - with health authorities, for instance. Second, we favour a longerterm pursuit of realizing a Personal Data Store vision, giving users the opportunity to contribute to collective good in the measure they want, enhancing self-awareness, and cultivating collective efforts for rebuilding society." . "text/plain" . . "Give more data, awareness and control to individual citizens, and they will help COVID-19 containment" . "2021-12-10 09:57:34.657315+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:44:17.448+01:00"^^ . . . . "Give more data, awareness and control to individual citizens, and they will help COVID-19 containment" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "JSaZQQBqMyh3ywyAsVqmeV1YFaDgupl8idypx1vZ47JMlNoQqt48CsLozG7pNqCnVziisgn49UhvcTSJuvaNBv6I62XTQwo8Fusw6q+8D0h2InbOdvHwKFCX/WEtEiHt7l0/JpLCV/bWYJfyNzvFulunTXr99dyTGkI/HNyK8VaIGwQHuNYTWzv5a/8e7n/xsKUYoUe7z3Np20PEoOideZteTFMz/fL5dVkDqo9sto7XBcBHXvqsBKVUpan991We+UAmOvPegQhKAaLVMClpIl4xCuqvV1YS8lJmP3lbR5RkvLyjiKGOsGbQL7esxZRVF0pOj0L6Mh5PBA577CEVqQ==" . . . . . . . "" . "Social sciences" . . . "university teacher" . . "education" . . "medicine" . . "university" . . "pandemic" . . "instructor" . . "ecosystem" . . "dynamics" . . "manual" . . "activity" . . "result" . . "preconception" . . "lens" . . "lens of the Italian university teacher" . . "Italian university teacher" . . "school systems" . . "Giovannella" . . "education curricula" . . "study" . . "learning" . . "working load" . . "education" . . "learning ecosystem" . . "school teacher" . . "refuge" . . "comparison" . . "activity" . . "teaching activity" . . "effects of the Covid-19 pandemic" . . "teachers category" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . "5693"^^ . "https://api.rohub.org/api/ros/e1d32110-086e-4de3-80b2-21dfe6ae068a/crate/download/" . . "2021-12-10 09:57:38.379197+00:00" . "2025-03-05 01:26:35.622066+00:00" . "2021-12-10 09:57:38.379197+00:00" . "In this paper, we report one of the first investigations conducted at the National level with university teachers, with the aim to capture their perceptions about the capability of the learning ecosystems to react to the lockdown imposed by the pandemic and the recourse to on-line learning. The study, conducted about two months after the beginning of the lock-down, shows that: a) learning ecosystems reacted promptly and in a satisfactory manner to assure the didactic continuity at both the systemic and individual level; b) the teaching activities were mainly confined to transmissive excathedra lectures in the attempt to reproduce standard university dynamics; c) the working load increased with respect to face-to-face activities; d) the intention to use on-line learning in the future is driven by preconceptions rather than experiences and by the capability to manage one's own time. The comparison with the outcomes of a similar study conducted with school teachers shows that the latter adopt a broader spectrum of didactic activities (although they still tend to remain in their comfort zone), experienced a heavier increase of the working load, and were more influenced by the situation they experienced. Although both teachers categories recognized the relevance of digital pedagogy, in the case of school teachers - as shown by the causal structure of the variables considered in our studies - it should be urgently included in teacher education curricula, while in the case of the university teachers it appears to be a possible route to support integration of on-line activities with standard face-to-face ones." . "application/ld+json" . . "https://w3id.org/ro-id/e1d32110-086e-4de3-80b2-21dfe6ae068a" . . "The effects of the Covid-19 pandemic seen through the lens of the Italian university teachers and the comparison with school teachers' perspective" . "MANUAL" . . . . . . "Foglini, Federica. \"The effects of the Covid-19 pandemic seen through the lens of the Italian university teachers and the comparison with school teachers' perspective.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/e1d32110-086e-4de3-80b2-21dfe6ae068a." . . "234"^^ . "https://api.rohub.org/api/resources/a598492b-37fb-4f3f-8b8f-f637f75f9f67/download/" . . "2021-12-10 09:57:42.635524+00:00" . "2021-12-10 09:57:42.636510+00:00" . "In this paper, we report one of the first investigations conducted at the National level with university teachers, with the aim to capture their perceptions about the capability of the learning ecosystems to react to the lockdown imposed by the pandemic and the recourse to on-line learning. The study, conducted about two months after the beginning of the lock-down, shows that: a) learning ecosystems reacted promptly and in a satisfactory manner to assure the didactic continuity at both the systemic and individual level; b) the teaching activities were mainly confined to transmissive excathedra lectures in the attempt to reproduce standard university dynamics; c) the working load increased with respect to face-to-face activities; d) the intention to use on-line learning in the future is driven by preconceptions rather than experiences and by the capability to manage one's own time. The comparison with the outcomes of a similar study conducted with school teachers shows that the latter adopt a broader spectrum of didactic activities (although they still tend to remain in their comfort zone), experienced a heavier increase of the working load, and were more influenced by the situation they experienced. Although both teachers categories recognized the relevance of digital pedagogy, in the case of school teachers - as shown by the causal structure of the variables considered in our studies - it should be urgently included in teacher education curricula, while in the case of the university teachers it appears to be a possible route to support integration of on-line activities with standard face-to-face ones." . "text/plain" . . "The effects of the Covid-19 pandemic seen through the lens of the Italian university teachers and the comparison with school teachers' perspective" . "2021-12-10 09:57:42.635524+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:44:16.110+01:00"^^ . . . . "The effects of the Covid-19 pandemic seen through the lens of the Italian university teachers and the comparison with school teachers' perspective" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "dvV41131vYR9stM0ETBhB3Cfwzq8Rsdv0KsO2lWOm//a9Gtk+qLKNM2Xa8xWcu3W2uzO9zjJWzyE5PU5BqSvQT2JuYE9iMYFFCp7f2kw6/KwEnp9oUKHewhsgbByC2roJioqWllHWWl055cyRNgqphGwGYdLZq/X5iJUqknmIJFFJhwkFoam/7Ld5JXFVUHnN8WUdmaiFITUJFS03mjLzqU+BI8qoE4LCRgHUtC2Nip1LVkATXJTiOggHaqqqrEwu/8yMb4JE9Rq9QL2NGOnwSGwFk4C+Pm9INnLjrdGFf/Ab2/dSp1rImj+SFcvoN6xrmtHkJOv0a7B5JXpMFygEQ==" . . . . . . . "" . "Social sciences" . . . "school teachers" . . "education" . . "Italian learning ecosystem" . . "teachers' perspective" . . "medicine" . . "school" . . "pandemic" . . "diameter" . . "instructor" . . "ecosystem" . . "dynamics" . . "experience" . . "strategy" . . "education system" . . "steady state" . . "workload increase" . . "school systems" . . "university" . . "teaching strategy" . . "Giovannella" . . "learning ecosystem" . . "investigation" . . "search" . . "perception" . . "learning" . . "descriptive analysis" . . "classroom dynamics" . . "education" . . "respondent" . . "school teacher" . . "effects of the Covid-19 pandemic" . . "school teachers' perspective" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . "5737"^^ . "https://api.rohub.org/api/ros/072efa39-ca8c-4670-8e26-8b46b56eafb3/crate/download/" . . "2021-12-10 09:57:46.025661+00:00" . "2025-03-05 01:26:35.411692+00:00" . "2021-12-10 09:57:46.025661+00:00" . "This study is one of the first investigations conducted within the Italian school system to capture teachers' perspective, experiences and perceptions about the impact of the COVID-19 pandemic on school education. It was performed two months after the beginning of lockdown, when online teaching and learning processes were fully in place and had reached a steady state. The paper reports a descriptive analysis together with a network analysis, and the search for causal relationships among the variables that have been investigated. Generally, respondents reported that the reactions of educational institutions and individual teachers were satisfactory, preventing the collapse of the education system in spite of loss of contact with 6-10% of the student population and a significant teacher workload increase that posed individual time management challenges. Although teachers tended to adopt teaching strategies that reproduced standard classroom dynamics, the possibility of operating in this comfort zone generated a positive feeling about using technologies, a perception of increased digital skills mastery and a change in mindset about educational processes. In turn, this led to an increase in the perceived sustainability of online education, with about a third of the teachers expressing the wish to adopt a blended configuration for future teaching activities. Almost all participants recognized the significance of a digital pedagogy and the need to include it in the training curricula to prepare future teachers." . "application/ld+json" . . "https://w3id.org/ro-id/072efa39-ca8c-4670-8e26-8b46b56eafb3" . . "The Effects of the Covid-19 Pandemic on Italian Learning Ecosystems: the School Teachers' Perspective at the steady state" . "MANUAL" . . . . . . "Foglini, Federica. \"The Effects of the Covid-19 Pandemic on Italian Learning Ecosystems: the School Teachers' Perspective at the steady state.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/072efa39-ca8c-4670-8e26-8b46b56eafb3." . . "221"^^ . "https://api.rohub.org/api/resources/065c98c9-2e21-4f57-83ef-ecce692e4efe/download/" . . "2021-12-10 09:57:50.482354+00:00" . "2021-12-10 09:57:50.483502+00:00" . "This study is one of the first investigations conducted within the Italian school system to capture teachers' perspective, experiences and perceptions about the impact of the COVID-19 pandemic on school education. It was performed two months after the beginning of lockdown, when online teaching and learning processes were fully in place and had reached a steady state. The paper reports a descriptive analysis together with a network analysis, and the search for causal relationships among the variables that have been investigated. Generally, respondents reported that the reactions of educational institutions and individual teachers were satisfactory, preventing the collapse of the education system in spite of loss of contact with 6-10% of the student population and a significant teacher workload increase that posed individual time management challenges. Although teachers tended to adopt teaching strategies that reproduced standard classroom dynamics, the possibility of operating in this comfort zone generated a positive feeling about using technologies, a perception of increased digital skills mastery and a change in mindset about educational processes. In turn, this led to an increase in the perceived sustainability of online education, with about a third of the teachers expressing the wish to adopt a blended configuration for future teaching activities. Almost all participants recognized the significance of a digital pedagogy and the need to include it in the training curricula to prepare future teachers." . "text/plain" . . "The Effects of the Covid-19 Pandemic on Italian Learning Ecosystems: the School Teachers' Perspective at the steady state" . "2021-12-10 09:57:50.482354+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:44:14.729+01:00"^^ . . . . "The Effects of the Covid-19 Pandemic on Italian Learning Ecosystems: the School Teachers' Perspective at the steady state" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "gXHydNyDBhRAbLfgD46pEulyuyAQETii3JFr+KPL81DQNedHVzkQEWOn9RC0cmn0kM+Tv8ahEer1kKtaZAcuwEAxkQ8l+p0Skhb4AHTAWjzeyFv01/HfhkFqz9gwqFtgFClkpdtb59WM93RNK2ZACwvynDSGCRlkbZa27fZZJJNDCXvlZj17VfJjrQ8Sq+f4IpNG7GK2opJOVP+22D/vLN3RZkt5oQquylhBFgE2m03K5ipylnLgVqN2oXlvyCNLDRlfnD5yf7bQFV0PSUM6dnB/Gpa0cJVWiQu4iAoLWdRJtfUkdGbGb1cbnLqJxbb6D2TYvpFcjiwwwjSHmGgKzQ==" . . . . . . . "" . "Ecology" . . . "the economy" . "Independent Samples Test" . . . "duration of lockdown" . . "Sweden" . . "economic growth of country" . . "lessons learned" . . "medicine" . . "death" . . "investment" . . "man" . . "health" . . "pandemic" . . "gross domestic product" . . "mortality rate" . . "economic growth" . . "economy" . . "contraction" . . "Austria" . . "country" . . "deterioration of economic system" . . "deaths of covid 19" . . "relationship" . . "Total Environ" . . "growth level of gross domestic product" . . "health sector" . . "Coccia" . . "France" . . "lockdown" . . "lockdown" . . "duration" . . "sector" . . "people" . . "deterioration" . . "Italy" . . "pandemic crisis" . "Total Environ" . . . "Portugal" . . "Spain" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . "5592"^^ . "https://api.rohub.org/api/ros/4124aa67-10cb-4105-9da4-034a777911ac/crate/download/" . . "2021-12-10 09:57:53.690965+00:00" . "2025-03-05 02:47:41.945223+00:00" . "2021-12-10 09:57:53.690965+00:00" . "How is the relation between duration of lockdown and numbers of infected people and deaths of Coronavirus disease 2019 (COVID-19), and growth level of Gross Domestic Product (GDP) in countries? Results here suggest that, during the first wave of COVID-19 pandemic, countries with a shorter period of lockdown (about 15 days: Austria, Portugal and Sweden) have average confirmed cases divided by population higher than countries with a longer period of lockdown (about 60 days, i.e., 2 months: France, Italy and Spain); moreover, countries with a shorter period of lockdown have average fatality rate (5.45%) lower than countries with a longer length of lockdown (12.70%), whereas average variation of fatality rate from March to August 2020 (first pandemic wave of COVID-19) suggests a higher reduction in countries with a longer period of lockdown than countries with a shorter duration (-1.9% vs. -0.72%). Independent Samples Test reveals that average fatality rate of countries with a shorter period of lockdown was significantly lower than countries with a longer period of lockdown (5.4% vs. 12.7%, p-value<.05). The Mann-Whitney Test confirms that average fatality rate of countries with a shorter period of lockdown is significantly lower than countries having a longer period of lockdown (U = 0, p-value =.005). In addition, results show that lockdowns of longer duration have generated negative effects on GDP growth: average contraction of GDP (index 2010 = 100) from second quarter 2019 to second quarter of 2020 in countries applying a longer period of lockdown (i.e., about two months) is about -21%, whereas it is -13% in countries applying a shorter period of lockdown of about 15 days (significant difference with Independent Samples Test: t(4) = -2.274, p-value <.085). This finding shows a systematic deterioration of economic system because of containment policies based on a longer duration of lockdown in society. Another novel finding here reveals that countries with higher investments in healthcare (as percentage of GDP) have alleviated fatality rate of COVID-19 and simultaneously have applied a shorter period of lockdown, reducing negative effects on economic system in terms of contraction of economic growth. Overall, then, using lessons learned of the first wave of COVID-19 pandemic crisis, this study must conclude that a strategy to reduce the negative impact of future epidemics similar to COVID-19 has to be based on a reinforcement of healthcare sector to have efficient health organizations to cope with pandemics of new viral agents by minimizing fatality rates; finally, high investments in health sector create the social conditions to apply lockdowns of short run with lower negative effects on socioeconomic systems. (c) 2021 Elsevier B.V. All rights reserved." . "application/ld+json" . . "https://w3id.org/ro-id/4124aa67-10cb-4105-9da4-034a777911ac" . . "The relation between length of lockdown, numbers of infected people and deaths of Covid-19, and economic growth of countries: Lessons learned to cope with future pandemics similar to Covid-19 and to constrain the deterioration of economic system" . "MANUAL" . . . . . . "Foglini, Federica. \"The relation between length of lockdown, numbers of infected people and deaths of Covid-19, and economic growth of countries: Lessons learned to cope with future pandemics similar to Covid-19 and to constrain the deterioration of economic system.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/4124aa67-10cb-4105-9da4-034a777911ac." . . "296"^^ . "https://api.rohub.org/api/resources/cc67e177-291a-473f-bc90-cc674b6bdb14/download/" . . "2021-12-10 09:57:57.350896+00:00" . "2021-12-10 09:57:57.352165+00:00" . "How is the relation between duration of lockdown and numbers of infected people and deaths of Coronavirus disease 2019 (COVID-19), and growth level of Gross Domestic Product (GDP) in countries? Results here suggest that, during the first wave of COVID-19 pandemic, countries with a shorter period of lockdown (about 15 days: Austria, Portugal and Sweden) have average confirmed cases divided by population higher than countries with a longer period of lockdown (about 60 days, i.e., 2 months: France, Italy and Spain); moreover, countries with a shorter period of lockdown have average fatality rate (5.45%) lower than countries with a longer length of lockdown (12.70%), whereas average variation of fatality rate from March to August 2020 (first pandemic wave of COVID-19) suggests a higher reduction in countries with a longer period of lockdown than countries with a shorter duration (-1.9% vs. -0.72%). Independent Samples Test reveals that average fatality rate of countries with a shorter period of lockdown was significantly lower than countries with a longer period of lockdown (5.4% vs. 12.7%, p-value<.05). The Mann-Whitney Test confirms that average fatality rate of countries with a shorter period of lockdown is significantly lower than countries having a longer period of lockdown (U = 0, p-value =.005). In addition, results show that lockdowns of longer duration have generated negative effects on GDP growth: average contraction of GDP (index 2010 = 100) from second quarter 2019 to second quarter of 2020 in countries applying a longer period of lockdown (i.e., about two months) is about -21%, whereas it is -13% in countries applying a shorter period of lockdown of about 15 days (significant difference with Independent Samples Test: t(4) = -2.274, p-value <.085). This finding shows a systematic deterioration of economic system because of containment policies based on a longer duration of lockdown in society. Another novel finding here reveals that countries with higher investments in healthcare (as percentage of GDP) have alleviated fatality rate of COVID-19 and simultaneously have applied a shorter period of lockdown, reducing negative effects on economic system in terms of contraction of economic growth. Overall, then, using lessons learned of the first wave of COVID-19 pandemic crisis, this study must conclude that a strategy to reduce the negative impact of future epidemics similar to COVID-19 has to be based on a reinforcement of healthcare sector to have efficient health organizations to cope with pandemics of new viral agents by minimizing fatality rates; finally, high investments in health sector create the social conditions to apply lockdowns of short run with lower negative effects on socioeconomic systems. (c) 2021 Elsevier B.V. All rights reserved." . "text/plain" . . "The relation between length of lockdown, numbers of infected people and deaths of Covid-19, and economic growth of countries: Lessons learned to cope with future pandemics similar to Covid-19 and to constrain the deterioration of economic system" . "2021-12-10 09:57:57.350896+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:44:13.363+01:00"^^ . . . . "The relation between length of lockdown, numbers of infected people and deaths of Covid-19, and economic growth of countries: Lessons learned to cope with future pandemics similar to Covid-19 and to constrain the" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "jD4asCLU6JsIryAnup0eOMpu0ki+SPxiRAhbntpnq24mrSTCLTkcxJOVIayGVrUlba71254kc4EP2UH11Q+x50Y2ah6dA/8chxbm4cyC56+tX8VQZ+CvU67gt2QqNA3JzMGUDjGG2fBnUJFzBVJxnXHNOgZgQutNw4bAuZcCfHjE6neUkZsTeL3JnT1yQwjupsWA6ytC+MFzbGMF61dtNlkupVMXv2j2ba06QtIrq3+fDzXBb3fqZ3OJcimZSuj+PBZ/s/cK+dH0G8t+99mPXcvpjAH0+SQAp1ZE4nxQcFRIXllCwLNb8t7dsdpIk5a0GbOovowVgZHV6svkitBoWA==" . . . . . . . "" . "Ecology" . . "Pollut" . . . "results of cardiac functional stress" . . "Union Territory of Delhi" . . "test in coronary artery disease" . . "anatomy" . . "medicine" . . "heart failure" . . "ischaemia" . . "clean" . . "atherosclerosis" . . "air cleaning" . . "result" . . "air quality indicator" . . "cardiology" . "4-site" . . . "lockdown" . . "heart failure patient" . . "roadblock" . . "aim" . . "air quality" . . "re" . . "dysfunction" . . "stress echocardiography" . . "change" . . "hurt" . . "patient" . . "Sci. Pollut" . . "air quality change" . . "barrier distress" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . "6001"^^ . "https://api.rohub.org/api/ros/a6a75c2b-d935-4b65-be9f-4c8d6870461c/crate/download/" . . "2021-12-10 09:58:01.204965+00:00" . "2025-03-05 01:26:35.194872+00:00" . "2021-12-10 09:58:01.204965+00:00" . "In vulnerable subjects, the increase in air pollution worsens the signs of myocardial ischemia. Lockdown during COVID-19 pandemics substantially cleaned the air. The objective of this is to assess the effects of air cleaning due to lockdown on stress echocardiography (SE) results. We enrolled 19 patients with chronic coronary artery disease and/or heart failure referred to SE (semi-supine bicycle exercise, n = 8, or dipyridamole, n = 11). Before and soon after lockdown, we assessed regional wall motion abnormalities (abnormal value: worsening of >= 2 segments), B-lines (a sign of pulmonary congestion, 4-site simplified scan, abnormal value >= 2), and coronary flow velocity reserve in left anterior descending artery (CFVR, abnormal value < 2.0). Local air quality indicators (same day of SE) of fine particulate matter (PM2.5) and nitrogen dioxide (NO2) were obtained from publicly available data sets of the regional authority of environmental protection. After lockdown, NO2 concentration decreased from 19 +/- 10 to 10 +/- 4 mu g/m(3) (p = 0.006). After lockdown, abnormal responses remained unchanged for ischemia (21% vs 16%, p = ns) and decreased for B-lines (42% vs 5%, p = 0.008) and CFVR (84 vs 42%, p = 0.007). Changes in coronary flow velocity reserve (CFVR) were correlated to same-day variations in NO2 (r = -0.578, p = 0.010) and preceding 30-day changes in PM2.5 (r = -0.518, p = 0.023). After lockdown, air cleaning was associated with a beneficial effect on coronary small vessel dysfunction and alveolar-capillary barrier distress mirrored by improvement of CFVR and B-lines during SE in vulnerable patients. Identifier: NCT 030.49995" . "application/ld+json" . . "https://w3id.org/ro-id/a6a75c2b-d935-4b65-be9f-4c8d6870461c" . . "The effects of lockdown-induced air quality changes on the results of cardiac functional stress testing in coronary artery disease and heart failure patients" . "MANUAL" . . . . . . "Foglini, Federica. \"The effects of lockdown-induced air quality changes on the results of cardiac functional stress testing in coronary artery disease and heart failure patients.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/a6a75c2b-d935-4b65-be9f-4c8d6870461c." . . "253"^^ . "https://api.rohub.org/api/resources/fa5ddea5-9e02-4869-9a66-97c0a6cbc412/download/" . . "2021-12-10 09:58:05.576420+00:00" . "2021-12-10 09:58:05.578099+00:00" . "In vulnerable subjects, the increase in air pollution worsens the signs of myocardial ischemia. Lockdown during COVID-19 pandemics substantially cleaned the air. The objective of this is to assess the effects of air cleaning due to lockdown on stress echocardiography (SE) results. We enrolled 19 patients with chronic coronary artery disease and/or heart failure referred to SE (semi-supine bicycle exercise, n = 8, or dipyridamole, n = 11). Before and soon after lockdown, we assessed regional wall motion abnormalities (abnormal value: worsening of >= 2 segments), B-lines (a sign of pulmonary congestion, 4-site simplified scan, abnormal value >= 2), and coronary flow velocity reserve in left anterior descending artery (CFVR, abnormal value < 2.0). Local air quality indicators (same day of SE) of fine particulate matter (PM2.5) and nitrogen dioxide (NO2) were obtained from publicly available data sets of the regional authority of environmental protection. After lockdown, NO2 concentration decreased from 19 +/- 10 to 10 +/- 4 mu g/m(3) (p = 0.006). After lockdown, abnormal responses remained unchanged for ischemia (21% vs 16%, p = ns) and decreased for B-lines (42% vs 5%, p = 0.008) and CFVR (84 vs 42%, p = 0.007). Changes in coronary flow velocity reserve (CFVR) were correlated to same-day variations in NO2 (r = -0.578, p = 0.010) and preceding 30-day changes in PM2.5 (r = -0.518, p = 0.023). After lockdown, air cleaning was associated with a beneficial effect on coronary small vessel dysfunction and alveolar-capillary barrier distress mirrored by improvement of CFVR and B-lines during SE in vulnerable patients. Identifier: NCT 030.49995" . "text/plain" . . "The effects of lockdown-induced air quality changes on the results of cardiac functional stress testing in coronary artery disease and heart failure patients" . "2021-12-10 09:58:05.576420+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:44:11.345+01:00"^^ . . . . "The effects of lockdown-induced air quality changes on the results of cardiac functional stress testing in coronary artery disease and heart failure patients" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "StwXOuRZvYn/dj8beS/kqhLE9TlGNkl5fLNDljzczNuuvkIt4BHAkKcSz/cExYF//5Fp0q4IeAbEI4QrXvD7AKdLF+THwZmsRTKbeuk2ePu5f/NsLItJPoGCXSkIcfUb+MOUR46woAi48lK/LfuGR7ww6uaOJS3y++V8LyCZri1pEQs0m/Zs2Lzm387ImnzpDbVHrH8ZqrRIn7sJgmtHR9KNtWBf4fIyCUNudXLnfMKImPocn0wrYrPFsRESMJTcfV2YKrbLR18Ns4+zudItmdNS7533iYdmLM1DCd4UYNGZBxziN0lV/1HIa8CdsXPHFhIPsgefYw0WZyHNydK1Cg==" . . . . . . . "" . "Ecology" . . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "Analysis of Air Quality during the COVID-19 Pandemic Lockdown in Naples (Italy). Lockdown measures applied in the aftermath of the COVID-19 pandemic spread to Italy in the period March 13th-May 4th strongly limited the social and industrial activities with consequent effects on the air pollution." . . "32.92053663570692" . "63.8" . "ecology" . . "58.10055865921788" . "10.4" . "service-account-enrichment" . . . . "5687"^^ . "https://api.rohub.org/api/ros/0ca44684-25d3-4893-9009-283903561da0/crate/download/" . . "2021-12-10 09:58:09.104389+00:00" . "2025-03-05 00:46:18.551908+00:00" . "2021-12-10 09:58:09.104389+00:00" . "Lockdown measures applied in the aftermath of the COVID-19 pandemic spread to Italy in the period March 13th-May 4th strongly limited the social and industrial activities with consequent effects on the air pollution. Here we report a study on the influence of the lockdown measures on the air quality in the city of Naples (Italy). The comparison of the levels of various gaseous pollutants (C6H6, CO, NO2 and SO2) and particulate matter (PM10, PM2.5, PM1) at ground level as well as of atmospheric aerosol properties registered by remote sensing techniques during the lockdown period with the values observed in the earlier months and during the same period of the previous year is used to gain interesting information on the environmental impact of the human activities. Our findings show a rather significant reduction of the pollution due to NO2 (49-62%) in urban as well as in green suburban area, while CO and SO2 showed a more important reduction in urban or industrial districts of the city (50-58% and 70%, respectively). Particulate matter at ground level is also affected but to a more limited extent (29-49%). Nevertheless, characterization of atmospheric aerosol columnar properties suggests an interesting variation of its composition. The observed features have been associated to the strong meteorological interference from Saharan Dust in the Mediterranean area also affecting the city of Naples." . "application/ld+json" . . "https://w3id.org/ro-id/0ca44684-25d3-4893-9009-283903561da0" . . "Analysis of Air Quality during the COVID-19 Pandemic Lockdown in Naples (Italy)" . "MANUAL" . . . . . . "https://w3id.org/ro-id/0c6669d9-18ca-4443-8f19-6f5ac0425361" . "https://w3id.org/ro-id/4958b44a-924b-4a21-8a66-490691f66823" . "https://w3id.org/ro-id/7b95eee4-fa24-4bc2-bcb8-294dbf8c9a64" . "https://w3id.org/ro-id/b5c117bc-09b5-47a3-bf2d-f3c41b091260" . "https://w3id.org/ro-id/0d133ca6-2e4b-4680-a8a3-d3ac4addea07" . "https://w3id.org/ro-id/3b364b23-d0e1-430b-92d2-dea7432b4383" . "https://w3id.org/ro-id/6145b5d9-c1c7-4f6c-afde-25df41d391e3" . "https://w3id.org/ro-id/93f19b1d-e095-4ceb-a33f-a0eb204e9fb8" . "https://w3id.org/ro-id/1841891c-9b24-4f39-b917-681281762ebc" . "https://w3id.org/ro-id/1f66750d-4884-4031-b564-ecacebfa9a19" . "https://w3id.org/ro-id/2488fd74-3de8-4e29-b8df-6642738460e7" . "https://w3id.org/ro-id/33747683-132c-4fbb-bbdc-3ff16cd6c76c" . "https://w3id.org/ro-id/4d0384dd-354e-49dd-9710-3f8f2ced99e0" . "https://w3id.org/ro-id/584abf4d-9783-4ec0-b752-dfb0ed240e7d" . "https://w3id.org/ro-id/6de9fbf0-bf63-4544-aa3b-909337717138" . "https://w3id.org/ro-id/8f62f708-9578-4067-80d6-f13525ffba25" . "https://w3id.org/ro-id/8fbdb600-2c5e-496a-a119-37d1b7db27e9" . "https://w3id.org/ro-id/a25aa39a-078e-40d1-8b92-b2448be82764" . "https://w3id.org/ro-id/aa579488-c73d-4018-a99e-4b8bfd75a69c" . "https://w3id.org/ro-id/c7fdfd3d-aa27-4ceb-81ed-d303b0a8e937" . "https://w3id.org/ro-id/ca660383-5b3e-4e2d-a68b-a7970dfe32a2" . "https://w3id.org/ro-id/d6968f9b-ff87-4cb2-b736-2c86c830afc6" . "https://w3id.org/ro-id/dca7f083-4f7a-43b6-b581-18e44a316d2e" . "https://w3id.org/ro-id/ed36df39-5478-4785-b54b-8da3801e6838" . "https://w3id.org/ro-id/85f3f94b-dfdd-4167-9f89-63af38cf86af" . "https://w3id.org/ro-id/9b639c90-15d8-4a95-8820-ddc3753c887d" . "https://w3id.org/ro-id/bf2f1e27-b1ff-4b9b-a4ac-80b691fbb156" . "https://w3id.org/ro-id/e99b68e7-e487-4dc8-9345-461c1aa22d33" . "https://w3id.org/ro-id/23b97def-5fcf-4bb2-b37a-739b52bb8775" . "https://w3id.org/ro-id/5135ccab-8bbc-4e28-b3fc-c120784b9942" . "https://w3id.org/ro-id/6634c633-a309-4bd2-b53a-05f89139b956" . "https://w3id.org/ro-id/bed68a71-7623-4921-b153-1c10f83d2157" . "https://w3id.org/ro-id/cf8a99db-bc7d-4fa5-b559-9d4bc8bcc8be" . "https://w3id.org/ro-id/e429e1e5-4f71-4278-98e2-1ba36ba902cf" . "https://w3id.org/ro-id/f7f141de-038c-4ad7-a82f-d0e17c5fb64f" . "https://w3id.org/ro-id/273ff22b-b3b5-43e8-9204-42dde6a1b3d1" . "https://w3id.org/ro-id/3294f936-b7e5-442b-a3f3-3518adcac7fc" . "https://w3id.org/ro-id/33e9b4d3-4fb8-4d9d-8ef0-a231bde47f6f" . "https://w3id.org/ro-id/4c822dfc-7daf-4bb1-b4c0-c9c552b2b321" . "https://w3id.org/ro-id/4cb934a9-7500-4bdd-a897-54a8ec1ae349" . "https://w3id.org/ro-id/7accd650-02ad-4f86-ae76-320d1e0381a0" . "https://w3id.org/ro-id/8edb9944-887d-4a42-a248-ced2b438c731" . "https://w3id.org/ro-id/c72c5c1e-3d0d-4374-aece-dee03f2c2b69" . "https://w3id.org/ro-id/d2201653-4ea5-40dd-95b4-98c6b54ec9e2" . "https://w3id.org/ro-id/dd1840b1-4603-4c43-a30e-c62df2555d1a" . "https://w3id.org/ro-id/f9146dd8-4ce2-49bf-bb99-89d0f2897797" . "https://w3id.org/ro-id/fcda45c1-515a-4d2a-8132-86a049ef6921" . "https://w3id.org/ro-id/571d4afd-6cac-45ee-a51f-ce82df164ad9" . "https://w3id.org/ro-id/7cd3f7d2-9e02-43a2-b691-abf1a1fdf747" . "https://w3id.org/ro-id/e3e48359-e5a7-4772-8459-5c6e74b065b5" . "https://w3id.org/ro-id/e8bca9e5-0c8c-4592-b72e-713334571b36" . "https://w3id.org/ro-id/21127140-8a6f-41d4-a281-d8f9d67d4f9f" . "https://w3id.org/ro-id/3222330c-2dce-412b-a864-9d53ad276260" . "https://w3id.org/ro-id/3fd98286-bf03-4740-848d-7238bf6fe0ca" . "https://w3id.org/ro-id/46514bb8-6d46-4097-b2c4-a565b060e01c" . "https://w3id.org/ro-id/55164e73-ff77-4c77-9ac5-0ed540dac3e2" . "https://w3id.org/ro-id/6aadd265-f195-4cc8-82ee-90c53a42c146" . "https://w3id.org/ro-id/7bf66f65-3563-4796-8bf4-ef03e4ea1f58" . "https://w3id.org/ro-id/8539742b-3a68-42b9-bbbd-5be53d7f6664" . "https://w3id.org/ro-id/8ad04647-333e-4ccc-a6a2-7c1737362179" . "https://w3id.org/ro-id/a4e2d82d-0f38-47be-9d39-6d8e95c14a2c" . "https://w3id.org/ro-id/01d03ab4-db65-4cc5-836f-b8a702c9a8d4" . "https://w3id.org/ro-id/774544ea-e3cb-492c-8d38-6047eaa402b5" . "https://w3id.org/ro-id/a660b2ad-1b28-40f1-8c75-32bb2577e16f" . "https://w3id.org/ro-id/abecb522-1725-4257-9e65-bdb095f47863" . "https://w3id.org/ro-id/c1429ce9-4e39-4468-b3e2-9e954fe96294" . "https://w3id.org/ro-id/f04168c8-4865-4a99-b88b-a35466d5d8a2" . "Foglini, Federica. \"Analysis of Air Quality during the COVID-19 Pandemic Lockdown in Naples (Italy).\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/0ca44684-25d3-4893-9009-283903561da0." . . "194"^^ . "https://api.rohub.org/api/resources/5c6c5fcc-678d-4e14-8d4c-a663868d98e0/download/" . . "2021-12-10 09:58:14.689767+00:00" . "2021-12-10 09:58:14.690715+00:00" . "Lockdown measures applied in the aftermath of the COVID-19 pandemic spread to Italy in the period March 13th-May 4th strongly limited the social and industrial activities with consequent effects on the air pollution. Here we report a study on the influence of the lockdown measures on the air quality in the city of Naples (Italy). The comparison of the levels of various gaseous pollutants (C6H6, CO, NO2 and SO2) and particulate matter (PM10, PM2.5, PM1) at ground level as well as of atmospheric aerosol properties registered by remote sensing techniques during the lockdown period with the values observed in the earlier months and during the same period of the previous year is used to gain interesting information on the environmental impact of the human activities. Our findings show a rather significant reduction of the pollution due to NO2 (49-62%) in urban as well as in green suburban area, while CO and SO2 showed a more important reduction in urban or industrial districts of the city (50-58% and 70%, respectively). Particulate matter at ground level is also affected but to a more limited extent (29-49%). Nevertheless, characterization of atmospheric aerosol columnar properties suggests an interesting variation of its composition. The observed features have been associated to the strong meteorological interference from Saharan Dust in the Mediterranean area also affecting the city of Naples." . "text/plain" . . "Analysis of Air Quality during the COVID-19 Pandemic Lockdown in Naples (Italy)" . "2021-12-10 09:58:14.689767+00:00" . . . . . . "Naples" . . "https://www.wikidata.org/wiki/Q2634" . "Naples" . . "11.800766283524904" . "15.4" . "quality" . . "5.670498084291188" . "7.4" . "aerosol air Qual" . . "34.989648033126294" . "50.7" . "Housing and urban planning policy" . . "Politics/Government policy/Interior policy/Housing and urban planning policy" . "lockdown" . . "6.130268199233717" . "8.0" . "Boselli" . . "10.318076027928626" . "13.3" . "aftermath of the COVID-19 pandemic" . . "4.278812974465148" . "6.2" . "Naples" . . "11.249030256012412" . "14.5" . "pandemic" . . "3.908045977011494" . "5.1" . "aerosol" . . "5.3529868114817685" . "6.9" . "Italy" . . "https://www.wikidata.org/wiki/Q38" . "Res. 2021" . . "3.4506556245686677" . "5.0" . "city of Naples" . . "7.79848171152519" . "11.3" . "chemistry" . . "15.64245810055866" . "2.8" . "Italy" . . "17.455391776570984" . "22.5" . "Castellano" . . "8.068269976726144" . "10.4" . "Italy" . . "18.773946360153257" . "24.5" . "Weather" . . "Weather" . "volume 21" . . "0.966183574879227" . "1.4" . "life sciences (general)" . . "29.13677626694442" . "0.34515276551246643" . "ground state" . . "3.908045977011494" . "5.1" . "Naples" . . "https://www.wikidata.org/wiki/Q2634" . "Environment" . . "Environment" . "columnar properties" . . "5.590062111801242" . "8.1" . "social" . . "3.3716475095785445" . "4.4" . "Here we report a study on the influence of the lockdown measures on the air quality in the city of Naples (Italy). The comparison of the levels of various gaseous pollutants (C6H6, CO, NO2 and SO2) and particulate matter (PM10, PM2.5, PM1) at ground level as well as of atmospheric aerosol properties registered by remote sensing techniques during the lockdown period with the values observed in the earlier months and during the same period of the previous year is used to gain interesting information on the environmental impact of the human activities." . . "10.577915376676987" . "20.5" . "Sannino" . . "8.999224204809929" . "11.6" . "medicine" . . "16.201117318435756" . "2.9" . "Italy in the period" . . "3.7957211870255345" . "5.5" . "geophysics" . . "70.86322373305558" . "0.8394421339035034" . "A. Analysis of air quality" . . "26.639061421670117" . "38.6" . "geology" . . "49.8607190060513" . "0.9912623167037964" . "air Qual" . . "2.070393374741201" . "3.0" . "lockdown" . . "4.7323506594259115" . "6.1" . "character" . . "2.6053639846743293" . "3.4" . "activity" . . "2.9118773946360155" . "3.8" . "Italy" . . "https://www.wikidata.org/wiki/Q38" . "earth sciences" . . "50.1392809939487" . "0.9968003034591675" . "particulate" . . "8.352490421455938" . "10.9" . "lockdown measure" . . "10.420979986197377" . "15.1" . "Res. 2021, Volume 21, issue 2)" . . "1.7543859649122808" . "3.4" . "aerosol" . . "10.344827586206897" . "13.5" . "Sannino, A; D'Emilio, M; Castellano, P; Amoruso, S; Boselli, A. Analysis of Air Quality during the COVID-19 Pandemic Lockdown in Naples (Italy). (Aerosol Air Qual." . . "49.7936016511868" . "96.5" . "publishing" . . "10.05586592178771" . "1.8" . "Epidemic" . . "Health/Diseases and conditions/Communicable disease/Epidemic" . "atmospheric sciences" . . "50.1392809939487" . "0.9968003034591675" . "Our findings show a rather significant reduction of the pollution due to NO2 (49-62%) in urban as well as in green suburban area, while CO and SO2 showed a more important reduction in urban or industrial districts of the city (50-58% and 70%, respectively). Particulate matter at ground level is also affected but to a more limited extent (29-49%). Nevertheless, characterization of atmospheric aerosol columnar properties suggests an interesting variation of its composition." . . "4.953560371517028" . "9.6" . "A. Analysis" . . "9.309542280837858" . "12.0" . "air" . . "3.8314176245210727" . "5.0" . "air quality" . . "3.9846743295019156" . "5.2" . "Air pollution" . . "Environment/Environmental pollution/Air pollution" . "Emilio" . . "9.309542280837858" . "12.0" . "result" . . "5.823754789272031" . "7.6" . "pollution" . . "5.287356321839081" . "6.9" . "properties" . . "4.4996121024049645" . "5.8" . "life sciences" . . "29.13677626694442" . "0.34515276551246643" . "Epidemic" . . "Health/Diseases and conditions/Communicable disease/Epidemic" . "geosciences" . . "70.86322373305558" . "0.8394421339035034" . "earth sciences" . . "49.8607190060513" . "0.9912623167037964" . "research" . . "3.2950191570881224" . "4.3" . "in the period Mar-13-May-4" . . "Environmental pollution" . . "Environment/Environmental pollution" . "particulate matter" . . "6.594259115593483" . "8.5" . "pollution" . . "4.1117145073700545" . "5.3" . "service-account-generation-service" . . . "2026-03-03T16:44:09.933+01:00"^^ . . . . "Analysis of Air Quality during the COVID-19 Pandemic Lockdown in Naples (Italy)" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "HiscfyqVnyP6Axy+oLoIC7Trj4NkgiaeGnKS54tH5NIkrMPVAIMVQshiQgJzV6B6HJkqJ6BkbakzyoK7YMDfDweSymfILsTFGg6h+9zSjaq1iub6d3V0O+K9wITuXBJN5YTv8l0YDazxbFOFRqbkf3cs6N8AlVQTk1L9xEsIxQCQtmfB9W76ViRTMy9FXAEKn8ZvqOXGQCexHNvIJnqoRkuJ+uIGqRijPaSbiDEoS1G2Et2ruceYfz05qynI7a2NYTXcoycVIMWmj5HScjRWyiunKlD+sWy9cHTfqzQqN7fAN0iKwiVhHH50/8tY45yIuD4ZKQCs9EudONIEErN21Q==" . . . . . . . "" . "Ecology" . . . "surface observation" . . "background station" . . "geophysics" . . "mitigation in Rome" . . "ecology" . . "surface station" . . "lockdown restriction" . . "dioxide reductions from satellite" . . "air pollution change" . . "medicine" . . "pandemic" . . "measure" . . "satellite" . . "air pollution" . . "nitrogen dioxide" . . "restriction" . . "traffic" . . "reductions from satellite" . . "Rome" . . "Italy" . . "Bassani" . . "reduction" . . "observation" . . "station" . . "surface" . . "background" . . "Rome" . . "dioxide" . . "nitrogen dioxide reduction" . . "Italy" . "NO2" . . . "dioxide reduction" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . "4731"^^ . "https://api.rohub.org/api/ros/d6c968ae-1259-4720-9d4a-7e2eafaefa8b/crate/download/" . . "2021-12-10 09:58:19.137198+00:00" . "2025-03-05 02:45:32.636820+00:00" . "2021-12-10 09:58:19.137198+00:00" . "Lockdown restrictions were implemented in Italy from 10 March 2020 to contain the COVID-19 pandemic. Our study aims to evaluate air pollution changes, with focus on nitrogen dioxide (NO2), before and during the lockdown in Rome and in the surroundings. Significant NO2 declines were observed during the COVID-19 pandemic with reductions of - 50%, - 34%, and - 20% at urban traffic, urban background, and rural background stations, respectively. Tropospheric NO2 vertical column density (VCD) from the TROPOspheric Monitoring Instrument (TROPOMI) was used to evaluate the spatial-temporal variations of the NO2 before and during the lockdown for the entire area where the surface stations are located. The evaluation is concerned with the pixels including one or more air quality stations to explore the capability of the unprecedented high spatial resolution to monitor urban and rural sites from space with relation to the surface measurements. Good agreement between surface concentration and TROPOMI VCD was obtained in Rome (R = 0.64 in 2019, R = 0.77 in 2020) and in rural sites (R = 0.71 in 2019). Inversely, a slight correlation (R = 0.20) was observed in rural areas during the lockdown due to very low levels of NO2. Finally, the TROPOMI VCD showed a sharp decline in NO2, larger in urban (- 43%) than in rural sites (- 17%) as retrieved with the concurrent surface measurements averaging all the traffic and urban background (- 44%) and all the rural background stations (- 20%). These results suggest air pollution improvement in Rome gained from implementing lockdown restrictions." . "application/ld+json" . . "https://w3id.org/ro-id/d6c968ae-1259-4720-9d4a-7e2eafaefa8b" . . "Nitrogen dioxide reductions from satellite and surface observations during COVID-19 mitigation in Rome (Italy)" . "MANUAL" . . . . . . "Foglini, Federica. \"Nitrogen dioxide reductions from satellite and surface observations during COVID-19 mitigation in Rome (Italy).\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/d6c968ae-1259-4720-9d4a-7e2eafaefa8b." . . "261"^^ . "https://api.rohub.org/api/resources/87eca91a-1123-4df7-81b7-6b6605cefd15/download/" . . "2021-12-10 09:58:25.751246+00:00" . "2021-12-10 09:58:25.752238+00:00" . "Lockdown restrictions were implemented in Italy from 10 March 2020 to contain the COVID-19 pandemic. Our study aims to evaluate air pollution changes, with focus on nitrogen dioxide (NO2), before and during the lockdown in Rome and in the surroundings. Significant NO2 declines were observed during the COVID-19 pandemic with reductions of - 50%, - 34%, and - 20% at urban traffic, urban background, and rural background stations, respectively. Tropospheric NO2 vertical column density (VCD) from the TROPOspheric Monitoring Instrument (TROPOMI) was used to evaluate the spatial-temporal variations of the NO2 before and during the lockdown for the entire area where the surface stations are located. The evaluation is concerned with the pixels including one or more air quality stations to explore the capability of the unprecedented high spatial resolution to monitor urban and rural sites from space with relation to the surface measurements. Good agreement between surface concentration and TROPOMI VCD was obtained in Rome (R = 0.64 in 2019, R = 0.77 in 2020) and in rural sites (R = 0.71 in 2019). Inversely, a slight correlation (R = 0.20) was observed in rural areas during the lockdown due to very low levels of NO2. Finally, the TROPOMI VCD showed a sharp decline in NO2, larger in urban (- 43%) than in rural sites (- 17%) as retrieved with the concurrent surface measurements averaging all the traffic and urban background (- 44%) and all the rural background stations (- 20%). These results suggest air pollution improvement in Rome gained from implementing lockdown restrictions." . "text/plain" . . "Nitrogen dioxide reductions from satellite and surface observations during COVID-19 mitigation in Rome (Italy)" . "2021-12-10 09:58:25.751246+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:44:08.572+01:00"^^ . . . . "Nitrogen dioxide reductions from satellite and surface observations during COVID-19 mitigation in Rome (Italy)" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "UKxSMCz5FSXAZbEw8LQLIULLGFYsfFcAnwMYg98oHT9gGhjfKWUExAuzMCIKffOEJyF+Jg5UnhpveQAV/9Tb9BqDnjNgdW4afb7z5HGwRoC06eREpVlEo2fYiYRZiJn7+NaeYjaIjntLCEjDGbgaQ+hwqsJ9/V7vgoxF6Gy/sy7WZJnS1Pc7TCsrJVa+0r4dCiyoebeQZqaVMbf3tsVMdsUCVcNwDlKL37eUd1VYm4APwdQr4MXT+gNZB+eSLBJX6qdZliHXZ2D5tVvgpv1tGV7F9sgtJtR0JYIBv46NCC+jN69YpjHphQs2wTJpAZglE9Q/Ox2Suo74xQNZct4VuQ==" . . . . . . . "" . "Ecology" . . . "PM emissions increase" . . "lockdown analysis" . . "analysis in Italy" . "Italy Covid19" . . . "ecology" . . "Naples" . . "VOCS emissions reduction" . . "weather" . . "greenhouse gas" . . "analysis" . . "volatile organic compound" . . "urban area" . . "Palermo" . . "Rome" . . "Naples" . . "Milan" . . "Italy" . . "PM10" . . "air quality in urban areas" . . "Gualtieri" . . "Bologna" . . "road traffic impact" . . "Florence" . . "lockdown" . . "emission sector" . . "Rome" . . "emission source" . . "air quality" . . "road traffic" . . "impact" . . "growth" . . "lockdown analysis in Italy" . . "emission" . . "Italy" . . "Milan" . . "Palermo" . "Elsevier Ltd. All" . . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . "6509"^^ . "https://api.rohub.org/api/ros/f857a3cd-4a0a-404a-8fe5-c5625d9d6da8/crate/download/" . . "2021-12-10 09:58:29.615992+00:00" . "2025-03-05 01:17:00.964241+00:00" . "2021-12-10 09:58:29.615992+00:00" . "Covid19-induced lockdown measures caused modifications in atmospheric pollutant and greenhouse gas emissions. Urban road traffic was the most impacted, with 48-60% average reduction in Italy. This offered an unprecedented opportunity to assess how a prolonged (similar to 2 months) and remarkable abatement of traffic emissions impacted on urban air quality. Six out of the eight most populated cities in Italy with different climatic conditions were analysed: Milan, Bologna, Florence, Rome, Naples, and Palermo. The selected scenario (24/02/2020-30/04/2020) was compared to a meteorologically comparable scenario in 2019 (25/02/2019-02/05/2019). NO2, O-3, PM2.5 and PM10 observations from 58 air quality and meteorological stations were used, while traffic mobility was derived from municipality-scale big data. NO2 levels remarkably dropped over all urban areas (from-24.9% in Milan to-59.1% in Naples), to an extent roughly proportional but lower than traffic reduction. Conversely, O-3 concentrations remained unchanged or even increased (up to 13.7% in Palermo and 14.7% in Rome), likely because of the reduced O-3 titration triggered by lower NO emissions from vehicles, and lower NOx emissions over typical VOC slimited environments such as urban areas, not compensated by comparable VOCs emissions reductions. PM10 exhibited reductions up to 31.5% (Palermo) and increases up to 7.3% (Naples), while PM2.5 showed reductions of -13-17% counterbalanced by increases up to -9%. Higher household heating usage (+16-19% in March), also driven by colder weather conditions than 2019 (-0.2 to -0.8 degrees C) may partly explain primary PM emissions increase, while an increase in agriculture activities may account for the NH3 emissions increase leading to secondary aerosol formation. This study confirmed the complex nature of atmospheric pollution even when a major emission source is clearly isolated and controlled, and the need for consistent decarbonisation efforts across all emission sectors to really improve air quality and public health. (C) 2020 Elsevier Ltd. All rights reserved." . "application/ld+json" . . "https://w3id.org/ro-id/f857a3cd-4a0a-404a-8fe5-c5625d9d6da8" . . "Quantifying road traffic impact on air quality in urban areas: A Covid19-induced lockdown analysis in Italy" . "MANUAL" . . . . . . "Foglini, Federica. \"Quantifying road traffic impact on air quality in urban areas: A Covid19-induced lockdown analysis in Italy.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/f857a3cd-4a0a-404a-8fe5-c5625d9d6da8." . . "217"^^ . "https://api.rohub.org/api/resources/f48883c7-9c0a-41e5-adc5-06936c535f0f/download/" . . "2021-12-10 09:58:35.222002+00:00" . "2021-12-10 09:58:35.222847+00:00" . "Covid19-induced lockdown measures caused modifications in atmospheric pollutant and greenhouse gas emissions. Urban road traffic was the most impacted, with 48-60% average reduction in Italy. This offered an unprecedented opportunity to assess how a prolonged (similar to 2 months) and remarkable abatement of traffic emissions impacted on urban air quality. Six out of the eight most populated cities in Italy with different climatic conditions were analysed: Milan, Bologna, Florence, Rome, Naples, and Palermo. The selected scenario (24/02/2020-30/04/2020) was compared to a meteorologically comparable scenario in 2019 (25/02/2019-02/05/2019). NO2, O-3, PM2.5 and PM10 observations from 58 air quality and meteorological stations were used, while traffic mobility was derived from municipality-scale big data. NO2 levels remarkably dropped over all urban areas (from-24.9% in Milan to-59.1% in Naples), to an extent roughly proportional but lower than traffic reduction. Conversely, O-3 concentrations remained unchanged or even increased (up to 13.7% in Palermo and 14.7% in Rome), likely because of the reduced O-3 titration triggered by lower NO emissions from vehicles, and lower NOx emissions over typical VOC slimited environments such as urban areas, not compensated by comparable VOCs emissions reductions. PM10 exhibited reductions up to 31.5% (Palermo) and increases up to 7.3% (Naples), while PM2.5 showed reductions of -13-17% counterbalanced by increases up to -9%. Higher household heating usage (+16-19% in March), also driven by colder weather conditions than 2019 (-0.2 to -0.8 degrees C) may partly explain primary PM emissions increase, while an increase in agriculture activities may account for the NH3 emissions increase leading to secondary aerosol formation. This study confirmed the complex nature of atmospheric pollution even when a major emission source is clearly isolated and controlled, and the need for consistent decarbonisation efforts across all emission sectors to really improve air quality and public health. (C) 2020 Elsevier Ltd. All rights reserved." . "text/plain" . . "Quantifying road traffic impact on air quality in urban areas: A Covid19-induced lockdown analysis in Italy" . "2021-12-10 09:58:35.222002+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:44:07.236+01:00"^^ . . . . "Quantifying road traffic impact on air quality in urban areas: A Covid19-induced lockdown analysis in Italy" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "BW9vFd86LURIPNXrCOhTomc5LJzbuRYQG/p+LtEZ1AlDtZNTi50cu226zWqXQxYdoCHFalcrDsyo8FTfjkfzeZ1hNkknpi5zeyOqUwzqzKMUNxc1RQdsq/UaBTFhu1WLXkHa4x4gyDkv8exyTX69A3Ty4hX+ObprXdbdlNILlqigoDlL67h4Q5two0Mw/508Z4OeKM63CEOCiaNd5tHSJIKm/xbhxQKwWhiS+75RO5M4SxAN+uEjUMq9lDptfNfEutm4OFJgkribxE3gLE+nu1bv8Q3DRDmLbQbz+aqBx25Q09ZHq+Nv1XZq9q/dgQCyYWuYj3FzOgOhNbjsjr9Yig==" . . . . . . . "" . "Ecology" . . . "maritime settings of a coastal region" . . "Aqua Alta Oceanographic Tower" . . "Sci. total" . . "fishing activity" . . "Depellegrin" . . "fishing" . . "research" . . "coastline" . . "policy" . . "activity" . . "result" . . "implementation" . . "fishing boat" . . "consequence" . "Elsevier B.V." . . . "effects of covid 19" . . "reboot" . . "North-Eastern Adriatic Sea" . . "place setting" . . "transportation" . . "lockdown measure" . . "Venetia" . . "Europe" . . "lockdown" . . "effect" . . "total" . . "lockdown policy" . . "watercraft and nautical navigation" . . "activity" . . "data from fishing vessels" . . "Italy" . . "settings of a coastal region" . . "scientific" . . "maritime" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . "5623"^^ . "https://api.rohub.org/api/ros/ff341157-8430-4ce9-857d-c0cb88121baf/crate/download/" . . "2021-12-10 09:58:39.548364+00:00" . "2025-03-05 01:26:34.980605+00:00" . "2021-12-10 09:58:39.548364+00:00" . "The spread of coronavirus (COVID-19) caused an unprecedented implementation of lockdown measures across world's nations. Veneto Region, located in North-Eastern Adriatic Sea was one of the first maritime regions in Italy and Europe subjected to progressive lockdown restrictions. We systematically analyse the effects of national lockdown policies on maritime settings of the region using Automated Identification System (AIS) data from fishing vessels, passenger ships, tanker and cargo vessels collected through the Aqua Alta Oceanographic Tower (AAOT). We derive consequences on vessel activities during the March-April 2020 lockdown, by using a data-driven, comparative spatio-temporal analysis of vessel trajectories. Results show that compared to the same period of 2017, vessel activity were reduced by 69% during the lockdown, fishing activities reduced by 84% and passenger traffic by 78%. We register a restart of fishing activity in the third week of April 2020. We suggest that the presented conceptual and spatial assessment protocol can guide future research on environmental and socioeconomic effects of COVID-19 on marine realms and contribute to further interdisciplinary research with other marine scientific fields. (C) 2020 Published by Elsevier B.V." . "application/ld+json" . . "https://w3id.org/ro-id/ff341157-8430-4ce9-857d-c0cb88121baf" . . "The effects of COVID-19 induced lockdown measures on maritime settings of a coastal region" . "MANUAL" . . . . . . "Foglini, Federica. \"The effects of COVID-19 induced lockdown measures on maritime settings of a coastal region.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/ff341157-8430-4ce9-857d-c0cb88121baf." . . "184"^^ . "https://api.rohub.org/api/resources/00af6e20-1132-4e5b-b2c9-9d2eac522116/download/" . . "2021-12-10 09:58:43.646874+00:00" . "2021-12-10 09:58:43.648084+00:00" . "The spread of coronavirus (COVID-19) caused an unprecedented implementation of lockdown measures across world's nations. Veneto Region, located in North-Eastern Adriatic Sea was one of the first maritime regions in Italy and Europe subjected to progressive lockdown restrictions. We systematically analyse the effects of national lockdown policies on maritime settings of the region using Automated Identification System (AIS) data from fishing vessels, passenger ships, tanker and cargo vessels collected through the Aqua Alta Oceanographic Tower (AAOT). We derive consequences on vessel activities during the March-April 2020 lockdown, by using a data-driven, comparative spatio-temporal analysis of vessel trajectories. Results show that compared to the same period of 2017, vessel activity were reduced by 69% during the lockdown, fishing activities reduced by 84% and passenger traffic by 78%. We register a restart of fishing activity in the third week of April 2020. We suggest that the presented conceptual and spatial assessment protocol can guide future research on environmental and socioeconomic effects of COVID-19 on marine realms and contribute to further interdisciplinary research with other marine scientific fields. (C) 2020 Published by Elsevier B.V." . "text/plain" . . "The effects of COVID-19 induced lockdown measures on maritime settings of a coastal region" . "2021-12-10 09:58:43.646874+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:44:05.865+01:00"^^ . . . . "The effects of COVID-19 induced lockdown measures on maritime settings of a coastal region" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "i1pMA0b4w+r6DqqmBQAxMU3ZYFGEx4BKFUq0xgvJMlqbPUVIvTV+VszI5Og9CeOVAQQS/qvYDlYeKkiY8h9KJcJJmJdrY+qy3eFr/tmVPeG6xPnF8GfhLPPhIbX1iLpLywxcbR0BVqYKcZsl1bBVdEFSo28i5CPTOopyAdh8w0Tsawmo9YPvrqBJT5lPI40mETT6V9ST9mC8Pj20HX54EQ9zQIy4S13rfnmf+xXbya5duWkREoc5JvBdU0mmPsW3pdDA/rFLU6RBpqjm2c0G80pj4LtJnwWiBiEmfvHD60nsBPCy3O98FIyAnz4p1NY6yO6d+bQ0lS44ycuIMJNdeQ==" . . . . . . . "" . "Ecology" . . . "geophysics" . . "Sci. total" . . "Venice" . . "legislation" . "Journal of geophysical research. Biogeosciences" . . . "physics" . . "high water transparency" . . "finance" . . "Venice Lagoon" . . "water transparency" . . "lagoon" . . "transparency" . . "bill" . . "restriction" . . "stressor" . . "impact" . . "traffic" . . "Braga" . . "Venice" . . "composite" . . "L. COVID-19 lockdown measure" . . "lockdown measure" . . "quantitative analysis" . . "Venice Venice Lagoon" . . "vessel traffic" . . "lagoon of Venice" . . "lockdown" . . "lockdown" . . "total" . . "aftermath" . . "Braga" . . "Italy" . "Manfe" . . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . "5613"^^ . "https://api.rohub.org/api/ros/f648a0a7-ad3f-471c-a377-21cc65e7ef67/crate/download/" . . "2021-12-10 09:58:48.285075+00:00" . "2025-03-05 00:50:03.161437+00:00" . "2021-12-10 09:58:48.285075+00:00" . "The lagoon of Venice has always been affected by the regional geomorphological evolution, anthropogenic stressors and global changes. Different morphological settings and variable biogeophysical conditions characterize this continuously evolving system that rapidly responds to the anthropic impacts. When the lockdown measures were enforced in Italy to control the spread of the SARS-CoV-2 infection on March 10th 2020, the ordinary urban water traffic around Venice, one of the major pressures in the lagoon, came to a halt. This provided a unique opportunity to analyse the environmental effects of restrictions to mobility on water transparency. Pseudo true-colour composites Sentinel-2 satellite imagery proved useful for qualitative visual interpretation, showing the reduction of the vessel traffic and their wakes from the periods before and during the SARS-CoV-2 outbreak. A quantitative analysis of suspended matter patterns, based on satellite-derived turbidity, in the absence of traffic perturbations, allowed to focus on natural processes and the residual stress from human activities that continued throughout the lockdown. We conclude that the high water transparency can be considered as a transient condition determined by a combination of natural seasonal factors and the effects of COVID-19 restrictions." . "application/ld+json" . . "https://w3id.org/ro-id/f648a0a7-ad3f-471c-a377-21cc65e7ef67" . . "COVID-19 lockdown measures reveal human impact on water transparency in the Venice Lagoon" . "MANUAL" . . . . . . "Foglini, Federica. \"COVID-19 lockdown measures reveal human impact on water transparency in the Venice Lagoon.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/f648a0a7-ad3f-471c-a377-21cc65e7ef67." . . "184"^^ . "https://api.rohub.org/api/resources/43f634c1-11b0-4b4a-861b-5661573b4658/download/" . . "2021-12-10 09:58:52.938054+00:00" . "2021-12-10 09:58:52.938898+00:00" . "The lagoon of Venice has always been affected by the regional geomorphological evolution, anthropogenic stressors and global changes. Different morphological settings and variable biogeophysical conditions characterize this continuously evolving system that rapidly responds to the anthropic impacts. When the lockdown measures were enforced in Italy to control the spread of the SARS-CoV-2 infection on March 10th 2020, the ordinary urban water traffic around Venice, one of the major pressures in the lagoon, came to a halt. This provided a unique opportunity to analyse the environmental effects of restrictions to mobility on water transparency. Pseudo true-colour composites Sentinel-2 satellite imagery proved useful for qualitative visual interpretation, showing the reduction of the vessel traffic and their wakes from the periods before and during the SARS-CoV-2 outbreak. A quantitative analysis of suspended matter patterns, based on satellite-derived turbidity, in the absence of traffic perturbations, allowed to focus on natural processes and the residual stress from human activities that continued throughout the lockdown. We conclude that the high water transparency can be considered as a transient condition determined by a combination of natural seasonal factors and the effects of COVID-19 restrictions." . "text/plain" . . "COVID-19 lockdown measures reveal human impact on water transparency in the Venice Lagoon" . "2021-12-10 09:58:52.938054+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:44:04.463+01:00"^^ . . . . "COVID-19 lockdown measures reveal human impact on water transparency in the Venice Lagoon" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "ufYaOwycMAaawP9mo5fCrl7S7RUd6pI4+qOo72vawG7GdZtB5+cGXvyJLFRUeJ7IfzOMtEK12QIndrqrSES5cNIqqn6NeudHbGBgCcq8qqToa0erneR78rUpA/p6BAoJMZ41fuunj9AWrUxgNwTxEQgnScT5mS/HOOIbJuqN4XxllMD4lf06+nOo5CR9z3F7ggaTwsRY2VJsY7ZCLhf45tQws+U6BhCjgXYDFAtkCfD/UZAo7vdFMYQWlEYmpPPNAOuoZVsiNDkHz90P0vmuDP6iCoNE6fC6SkdcinXlZskLZjtfU28TDl20y3W7/mgsBHQWJIE/mujGAPx6YfDWBg==" . . . . . . . "" . "Ecology" . . . "Valencia" . . "Sci. total" . . "pollutant emissions" . . "Sicard" . . "ecology" . . "mean concentration" . . "inorganic chemistry" . . "medicine" . . "Ampli fied ozone pollution" . . "city" . . "ozone" . . "pollution" . . "effect of lockdown" . . "Wuhan" . . "China" . . "pollution" . . "xu" . . "Valencia" . . "Nice" . . "Turin" . . "Rome" . . "institutions" . . "fied ozone pollution in city" . . "Europe" . . "lockdown effect" . . "lockdown" . . "Nice" . . "Rome" . . "concentration" . . "total" . . "mean" . . "pollutant emission" . . "Ampli fied ozone pollution in city" . . "China" . "NO2" . . . "South Europe" . . "Turin" . . "Wuhan" . . "scientific" . . "fied ozone pollution" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . "5965"^^ . "https://api.rohub.org/api/ros/49f56f03-89b6-4956-880b-182aa3d41992/crate/download/" . . "2021-12-10 09:58:55.698529+00:00" . "2025-03-05 00:46:16.654410+00:00" . "2021-12-10 09:58:55.698529+00:00" . "The effect of lockdown due to coronavirus disease (COVID-19) pandemic on air pollution in four Southern European cities (Nice, Rome, Valencia and Turin) and Wuhan (China) was quantified, with a focus on ozone (O-3). Compared to the same period in 20172019, the daily O-3 mean concentrations increased at urban stations by 24% in Nice, 14% in Rome, 27% in Turin, 2.4% in Valencia and 36% in Wuhan during the lockdown in 2020. This increase in O-3 concentrations is mainly explained by an unprecedented reduction in NOx emissions leading to a lower O-3 titration by NO. Strong reductions in NO2 mean concentrations were observed in all European cities, similar to 53% at urban stations, comparable to Wuhan (57%), and similar to 65% at traffic stations. NO declined even further, similar to 63% at urban stations and similar to 78% at traffic stations in Europe. Reductions in PM2.5 and PM10 at urban stations were overall much smaller both in magnitude and relative change in Europe (similar to 8%) than in Wuhan (similar to 42%). The PM reductions due to limiting transportation and fuel combustion in institutional and commercial buildings were partly offset by increases of PM emissions from the activities at home in some of the cities. The NOx concentrations during the lockdown were on average 49% lower than those at weekends of the previous years in all cities. The lockdown effect on O-3 production was similar to 10% higher than the weekend effect in Southern Europe and 38% higher in Wuhan, while for PM the lockdown had the same effect as weekends in Southern Europe (similar to 6% of difference). This study highlights the challenge of reducing the formation of secondary pollutants such as O-3 even with strict measures to control primary pollutant emissions. These results are relevant for designing abatement policies of urban pollution." . "application/ld+json" . . "https://w3id.org/ro-id/49f56f03-89b6-4956-880b-182aa3d41992" . . "Ampli fied ozone pollution in cities during the COVID-19 lockdown" . "MANUAL" . . . . . . "Foglini, Federica. \"Ampli fied ozone pollution in cities during the COVID-19 lockdown.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/49f56f03-89b6-4956-880b-182aa3d41992." . . "207"^^ . "https://api.rohub.org/api/resources/7c888cef-1ba0-4783-a3a8-f8774d35b3cb/download/" . . "2021-12-10 09:58:58.521856+00:00" . "2021-12-10 09:58:58.522896+00:00" . "The effect of lockdown due to coronavirus disease (COVID-19) pandemic on air pollution in four Southern European cities (Nice, Rome, Valencia and Turin) and Wuhan (China) was quantified, with a focus on ozone (O-3). Compared to the same period in 20172019, the daily O-3 mean concentrations increased at urban stations by 24% in Nice, 14% in Rome, 27% in Turin, 2.4% in Valencia and 36% in Wuhan during the lockdown in 2020. This increase in O-3 concentrations is mainly explained by an unprecedented reduction in NOx emissions leading to a lower O-3 titration by NO. Strong reductions in NO2 mean concentrations were observed in all European cities, similar to 53% at urban stations, comparable to Wuhan (57%), and similar to 65% at traffic stations. NO declined even further, similar to 63% at urban stations and similar to 78% at traffic stations in Europe. Reductions in PM2.5 and PM10 at urban stations were overall much smaller both in magnitude and relative change in Europe (similar to 8%) than in Wuhan (similar to 42%). The PM reductions due to limiting transportation and fuel combustion in institutional and commercial buildings were partly offset by increases of PM emissions from the activities at home in some of the cities. The NOx concentrations during the lockdown were on average 49% lower than those at weekends of the previous years in all cities. The lockdown effect on O-3 production was similar to 10% higher than the weekend effect in Southern Europe and 38% higher in Wuhan, while for PM the lockdown had the same effect as weekends in Southern Europe (similar to 6% of difference). This study highlights the challenge of reducing the formation of secondary pollutants such as O-3 even with strict measures to control primary pollutant emissions. These results are relevant for designing abatement policies of urban pollution." . "text/plain" . . "Ampli fied ozone pollution in cities during the COVID-19 lockdown" . "2021-12-10 09:58:58.521856+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:44:03.106+01:00"^^ . . . . "Ampli fied ozone pollution in cities during the COVID-19 lockdown" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "Oq3mXH0uzUVrVJ/wqkYBhuLt0WFEukjgFfzAXhF3My55cKYGWcxAeDZPZ/UnyGukKVClau4FDJghrZ/ZUvJMp2WBLT3QbRs7jEN2YHm0OwXUz1cbiJZi6c03Cygfv8WKSuANBF5b+OoH1fCuRpuYszjesNW7YsrqpRA+FGYut/dhWGddQ0Pl5SMl4mAmWWcPrU3vMj0m4EDdWGFkwUKpWzgVr4i+BPIYU4aBgk8Kx5Ia4d+Xm9VPVn5UEuLot6GWt25ShVUreT9Db7Kq9X7IbBl8u0BBTYg+fQyguD66nghLrUOGZjlVOzQWbQAQdOGnS7uorZWSgUfZZZTOvktlfw==" . . . . . . . "" . "Ecology" . . . "psychology" . . "diffusion of covid 19" . . "suggested strategy" . . "determine the diffusion" . . "transmission dynamics" . . "medicine" . . "city" . . "health" . . "epidemic" . . "transmission" . . "dynamics" . . "air pollution" . . "strategy" . . "infectivity" . . "Sci. Total Environ" . . "diffusion" . . "health sector" . . "Coccia" . . "viral infectivity" . "PM10" . . . "factor" . . "Northern Italy" . . "environment" . . "human-to-human transmission" . "Total Environ" . . . "accelerate viral infectivity" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . "7311"^^ . "https://api.rohub.org/api/ros/814757a0-5d2f-4573-90c5-4b6676714487/crate/download/" . . "2021-12-10 09:59:01.828213+00:00" . "2025-03-05 00:50:44.213463+00:00" . "2021-12-10 09:59:01.828213+00:00" . "This study has two goals. The first is to explain the geo-environmental determinants of the accelerated diffusion of COVID-19 that is generating a high level of deaths. The second is to suggest a strategy to cope with future epidemic threats similar to COVID-19 having an accelerated viral infectivity in society. Using data on sample of N= 55 Italian province capitals, and data of infected individuals at as of April 7th, 2020, results reveal that the accelerate and vast diffusion of COVID-19 in North Italy has a high association with air pollution of cities measured with days exceeding the limits set for PM10 (particulate matter 10 mu mor less in diameter) or ozone. In particular, hinterland cities with average high number of days exceeding the limits set for PM10 (and also having a lowwind speed) have a very high number of infected people on 7th April 2020 (arithmetic mean is about 2200 infected individuals, with average polluted days greater than 80 days per year), whereas coastal cities also having days exceeding the limits set for PM10 or ozone but with high wind speed have about 944.70 average infected individuals, with about 60 average polluted days per year; moreover, cities having more than 100 days of air pollution (exceeding the limits set for PM10), they have a very high average number of infected people (about 3350 infected individuals, 7th April 2020), whereas cities having less than 100 days of air pollution per year, they have a lower average number of infected people (about 10(14) individuals). The findings here also suggest that tominimize the impact of future epidemics similar to COVID-19, the max number of days per year that Italian provincial capitals or similar industrialized cities can exceed the limits set for PM10 or for ozone, considering theirmeteorological conditions, is about 48 days. Moreover, results here reveal that the explanatory variable of air pollution in cities seems to be a more important predictor in the initial phase of diffusion of viral infectivity (on 17th March 2020, b(1)= 1.27, p > 0.001) than interpersonal contacts (b(2)= 0.31, p < 0.05). In the second phase of maturity of the transmission dynamics of COVID-19, air pollution reduces intensity (on 7th April 2020 with b'(1) = 0.81, p < 0.001) also because of the indirect effect of lockdown, whereas regression coefficient of transmission based on interpersonal contacts has a stable level (b'(2)= 0.31, p < 0.01). This result reveals that accelerated transmission dynamics of COVID-19 is due tomainly to the mechanismof air pollution-to-human transmission (airborne viral infectivity) rather than human-to-human transmission. Overall, then, transmission dynamics of viral infectivity, such as COVID-19, is due to systemic causes: general factors that are the same for all regions (e.g., biological characteristics of virus, incubation period, etc.) and specific factors which are different for each region and/or city (e.g., complex interaction between air pollution, meteorological conditions and biological characteristics of viral infectivity) and health level of individuals (habits, immune system, age, sex, etc.). Lessons learned for COVID-19 in the case study here suggest that a proactive strategy to cope with future epidemics is also to apply especially an environmental and sustainable policy based on reduction of levels of air pollution mainly in hinterland and polluting cities- (having low wind speed, high percentage of moisture and number of fog days)-that seem to have an environment that foster a fast transmission dynamics of viral infectivity in society. Hence, in the presence of polluting industrialization in regions that can trigger the mechanism of air pollutionto-human transmission dynamics of viral infectivity, this study must conclude that a comprehensive strategy to prevent future epidemics similar to COVID-19 has to be also designed in environmental and socioeconomic terms, that is also based on sustainability science and environmental science, and not only in terms of biology, medicine, healthcare and health sector. (C) 2020 Elsevier B.V. All rights reserved." . "application/ld+json" . . "https://w3id.org/ro-id/814757a0-5d2f-4573-90c5-4b6676714487" . . "Factors determining the diffusion of COVID-19 and suggested strategy to prevent future accelerated viral infectivity similar to COVID" . "MANUAL" . . . . . . "Foglini, Federica. \"Factors determining the diffusion of COVID-19 and suggested strategy to prevent future accelerated viral infectivity similar to COVID.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/814757a0-5d2f-4573-90c5-4b6676714487." . . "184"^^ . "https://api.rohub.org/api/resources/fb6f51e8-125e-4761-9068-4c81a55c8b44/download/" . . "2021-12-10 09:59:04.387384+00:00" . "2021-12-10 09:59:04.388609+00:00" . "This study has two goals. The first is to explain the geo-environmental determinants of the accelerated diffusion of COVID-19 that is generating a high level of deaths. The second is to suggest a strategy to cope with future epidemic threats similar to COVID-19 having an accelerated viral infectivity in society. Using data on sample of N= 55 Italian province capitals, and data of infected individuals at as of April 7th, 2020, results reveal that the accelerate and vast diffusion of COVID-19 in North Italy has a high association with air pollution of cities measured with days exceeding the limits set for PM10 (particulate matter 10 mu mor less in diameter) or ozone. In particular, hinterland cities with average high number of days exceeding the limits set for PM10 (and also having a lowwind speed) have a very high number of infected people on 7th April 2020 (arithmetic mean is about 2200 infected individuals, with average polluted days greater than 80 days per year), whereas coastal cities also having days exceeding the limits set for PM10 or ozone but with high wind speed have about 944.70 average infected individuals, with about 60 average polluted days per year; moreover, cities having more than 100 days of air pollution (exceeding the limits set for PM10), they have a very high average number of infected people (about 3350 infected individuals, 7th April 2020), whereas cities having less than 100 days of air pollution per year, they have a lower average number of infected people (about 10(14) individuals). The findings here also suggest that tominimize the impact of future epidemics similar to COVID-19, the max number of days per year that Italian provincial capitals or similar industrialized cities can exceed the limits set for PM10 or for ozone, considering theirmeteorological conditions, is about 48 days. Moreover, results here reveal that the explanatory variable of air pollution in cities seems to be a more important predictor in the initial phase of diffusion of viral infectivity (on 17th March 2020, b(1)= 1.27, p > 0.001) than interpersonal contacts (b(2)= 0.31, p < 0.05). In the second phase of maturity of the transmission dynamics of COVID-19, air pollution reduces intensity (on 7th April 2020 with b'(1) = 0.81, p < 0.001) also because of the indirect effect of lockdown, whereas regression coefficient of transmission based on interpersonal contacts has a stable level (b'(2)= 0.31, p < 0.01). This result reveals that accelerated transmission dynamics of COVID-19 is due tomainly to the mechanismof air pollution-to-human transmission (airborne viral infectivity) rather than human-to-human transmission. Overall, then, transmission dynamics of viral infectivity, such as COVID-19, is due to systemic causes: general factors that are the same for all regions (e.g., biological characteristics of virus, incubation period, etc.) and specific factors which are different for each region and/or city (e.g., complex interaction between air pollution, meteorological conditions and biological characteristics of viral infectivity) and health level of individuals (habits, immune system, age, sex, etc.). Lessons learned for COVID-19 in the case study here suggest that a proactive strategy to cope with future epidemics is also to apply especially an environmental and sustainable policy based on reduction of levels of air pollution mainly in hinterland and polluting cities- (having low wind speed, high percentage of moisture and number of fog days)-that seem to have an environment that foster a fast transmission dynamics of viral infectivity in society. Hence, in the presence of polluting industrialization in regions that can trigger the mechanism of air pollutionto-human transmission dynamics of viral infectivity, this study must conclude that a comprehensive strategy to prevent future epidemics similar to COVID-19 has to be also designed in environmental and socioeconomic terms, that is also based on sustainability science and environmental science, and not only in terms of biology, medicine, healthcare and health sector. (C) 2020 Elsevier B.V. All rights reserved." . "text/plain" . . "Factors determining the diffusion of COVID-19 and suggested strategy to prevent future accelerated viral infectivity similar to COVID" . "2021-12-10 09:59:04.387384+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:44:01.736+01:00"^^ . . . . "Factors determining the diffusion of COVID-19 and suggested strategy to prevent future accelerated viral infectivity similar to COVID" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "gVD8icVEPgY/qkQg2bFuVoqErS6Z554G4xdMPKMD7qEc1mdYR8t6aRREoLjc6gVLC9GHjxBKK/p4XeeatD/P8xR/Q2/0LU8qecAS2vel4Uot6UWlV4Jj1ZT5i3LyEAK2fTkjlcahgkrfXMNas3IqUUNLmLy9rIba10dhc/EuzklFSnI0elRVC6jIkMYFqRvBYfcAjfyZAa0rxljGw6PI7kuWvTHx9r0GhmeQw3J8bApHAZ12zUTeXoB15bw7Qty4i/I975D0v6ZvUFOHwplTvdbSFe+z9maV9umtrijd45I36FPmCme0P08Lo6kE/V6Y6MfmeW1a+Tp+JO+07mrgAg==" . . . . . . . "" . "Photographic industry" . . "" . "Ecology" . . "" . "Earth observation" . . . "Svalbard" . "Operational Activities" . . . "SIOS Remote Sensing Working Group" . . "Norway" . . "RS observation" . . "remote sensing training course" . . "geology" . . "medicine" . . "State of the Environmental Science in Svalbard" . . "scientific discipline" . . "pandemic" . . "research" . . "data" . . "remote sensing" . . "campaign" . . "newspaper" . . "Svalbard" . . "open enrollment" . "Remote Sensing Working Group" . . . "SIOS's earth observation" . "SIOS" . . . "remote sensing service" . . "training course" . . "information" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . . . "7427"^^ . "https://api.rohub.org/api/ros/60c926fe-f511-4350-ab0d-b9dc8b0e0e97/crate/download/" . . "2021-12-10 09:59:07.786336+00:00" . "2025-03-05 01:19:07.322452+00:00" . "2021-12-10 09:59:07.786336+00:00" . "Svalbard Integrated Arctic Earth Observing System (SIOS) is an international partnership of research institutions studying the environment and climate in and around Svalbard. SIOS is developing an efficient observing system, where researchers share technology, experience, and data, work together to close knowledge gaps, and decrease the environmental footprint of science. SIOS maintains and facilitates various scientific activities such as the State of the Environmental Science in Svalbard (SESS) report, international access to research infrastructure in Svalbard, Earth observation and remote sensing services, training courses for the Arctic science community, and open access to data. This perspective paper highlights the activities of SIOS Knowledge Centre, the central hub of SIOS, and the SIOS Remote Sensing Working Group (RSWG) in response to the unprecedented situation imposed by the global pandemic coronavirus (SARS-CoV-2) disease 2019 (COVID-19). The pandemic has affected Svalbard research in several ways. When Norway declared a nationwide lockdown to decrease the rate of spread of the COVID-19 in the community, even more strict measures were taken to protect the Svalbard community from the potential spread of the disease. Due to the lockdown, travel restrictions, and quarantine regulations declared by many nations, most physical meetings, training courses, conferences, and workshops worldwide were cancelled by the first week of March 2020. The resumption of physical scientific meetings is still uncertain in the foreseeable future. Additionally, field campaigns to polar regions, including Svalbard, were and remain severely affected. In response to this changing situation, SIOS initiated several operational activities suitable to mitigate the new challenges resulting from the pandemic. This article provides an extensive overview of SIOS's Earth observation (EO), remote sensing (RS) and other operational activities strengthened and developed in response to COVID-19 to support the Svalbard scientific community in times of cancelled/postponed field campaigns in Svalbard. These include (1) an initiative to patch up field data (in situ) with RS observations, (2) a logistics sharing notice board for effective coordinating field activities in the pandemic times, (3) a monthly webinar series and panel discussion on EO talks, (4) an online conference on EO and RS, (5) the SIOS's special issue in the Remote Sensing (MDPI) journal, (6) the conversion of a terrestrial remote sensing training course into an online edition, and (7) the announcement of opportunity (AO) in airborne remote sensing for filling the data gaps using aerial imagery and hyperspectral data. As SIOS is a consortium of 24 research institutions from 9 nations, this paper also presents an extensive overview of the activities from a few research institutes in pandemic times and highlights our upcoming activities for the next year 2021. Finally, we provide a critical perspective on our overall response, possible broader impacts, relevance to other observing systems, and future directions. We hope that our practical services, experiences, and activities implemented in these difficult times will motivate other similar monitoring programs and observing systems when responding to future challenging situations. With a broad scientific audience in mind, we present our perspective paper on activities in Svalbard as a case study." . "application/ld+json" . . "https://w3id.org/ro-id/60c926fe-f511-4350-ab0d-b9dc8b0e0e97" . . "SIOS's Earth Observation (EO), Remote Sensing (RS), and Operational Activities in Response to COVID-19" . "MANUAL" . . . . . . "Foglini, Federica. \"SIOS's Earth Observation (EO), Remote Sensing (RS), and Operational Activities in Response to COVID-19.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/60c926fe-f511-4350-ab0d-b9dc8b0e0e97." . . "537"^^ . "https://api.rohub.org/api/resources/7736b11b-c4f3-4bdf-bec0-3bfa831c3463/download/" . . "2021-12-10 09:59:10.555798+00:00" . "2021-12-10 09:59:10.557166+00:00" . "Svalbard Integrated Arctic Earth Observing System (SIOS) is an international partnership of research institutions studying the environment and climate in and around Svalbard. SIOS is developing an efficient observing system, where researchers share technology, experience, and data, work together to close knowledge gaps, and decrease the environmental footprint of science. SIOS maintains and facilitates various scientific activities such as the State of the Environmental Science in Svalbard (SESS) report, international access to research infrastructure in Svalbard, Earth observation and remote sensing services, training courses for the Arctic science community, and open access to data. This perspective paper highlights the activities of SIOS Knowledge Centre, the central hub of SIOS, and the SIOS Remote Sensing Working Group (RSWG) in response to the unprecedented situation imposed by the global pandemic coronavirus (SARS-CoV-2) disease 2019 (COVID-19). The pandemic has affected Svalbard research in several ways. When Norway declared a nationwide lockdown to decrease the rate of spread of the COVID-19 in the community, even more strict measures were taken to protect the Svalbard community from the potential spread of the disease. Due to the lockdown, travel restrictions, and quarantine regulations declared by many nations, most physical meetings, training courses, conferences, and workshops worldwide were cancelled by the first week of March 2020. The resumption of physical scientific meetings is still uncertain in the foreseeable future. Additionally, field campaigns to polar regions, including Svalbard, were and remain severely affected. In response to this changing situation, SIOS initiated several operational activities suitable to mitigate the new challenges resulting from the pandemic. This article provides an extensive overview of SIOS's Earth observation (EO), remote sensing (RS) and other operational activities strengthened and developed in response to COVID-19 to support the Svalbard scientific community in times of cancelled/postponed field campaigns in Svalbard. These include (1) an initiative to patch up field data (in situ) with RS observations, (2) a logistics sharing notice board for effective coordinating field activities in the pandemic times, (3) a monthly webinar series and panel discussion on EO talks, (4) an online conference on EO and RS, (5) the SIOS's special issue in the Remote Sensing (MDPI) journal, (6) the conversion of a terrestrial remote sensing training course into an online edition, and (7) the announcement of opportunity (AO) in airborne remote sensing for filling the data gaps using aerial imagery and hyperspectral data. As SIOS is a consortium of 24 research institutions from 9 nations, this paper also presents an extensive overview of the activities from a few research institutes in pandemic times and highlights our upcoming activities for the next year 2021. Finally, we provide a critical perspective on our overall response, possible broader impacts, relevance to other observing systems, and future directions. We hope that our practical services, experiences, and activities implemented in these difficult times will motivate other similar monitoring programs and observing systems when responding to future challenging situations. With a broad scientific audience in mind, we present our perspective paper on activities in Svalbard as a case study." . "text/plain" . . "SIOS's Earth Observation (EO), Remote Sensing (RS), and Operational Activities in Response to COVID-19" . "2021-12-10 09:59:10.555798+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:44:00.349+01:00"^^ . . . . "SIOS's Earth Observation (EO), Remote Sensing (RS), and Operational Activities in Response to COVID-19" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "euix8vAcYrC3YPwAxo/ICjQNz2KNiQeIleu4RtCZDLSj59ElNRobRZDTTXmOFaNh6Nij5t+xwsl1Uw1r8KIGeRVrp/n1g54GvK7Hd+bc0mvwueK9+WK4I2chKTTG4hKJtOmfIk3JiVSWxAtHurWKy5WhvR6tr6Fc8lxfSF4DfwOuNpQLvTEg6UL2pm7lX2l+Vo3V4rliA51M9IiVf3U5UH0oWBydWfPHxMX9mq9mtQ0arTVJZG2fgXWpDeJqAOx1Y4bLyaSPY+mlp9NyglXpqyP+KGvifwZH2HKte24Bc3OHFYDXcz1R89PWsvFnutzCwBuowLuNZuZUM3DVFKMWbQ==" . . . . . . . "" . "Meteorology" . . "" . "Ecology" . . . "impacts of COVID-19 lockdown" . . "Mississippi" . . "study of the impacts of COVID-19 lockdown" . . "time-series prediction model" . . "inorganic chemistry" . . "United States of America" . . "Res. Lett" . . "medicine" . . "statistics" . . "lithium" . . "Qin" . . "research" . . "Robert E. Lee" . . "time series" . . "forecast" . "C. Association" . . . "US city" . . "urban mobility" . . "nationwide NO2 concentration" . . "lockdown" . . "lockdown" . . "mobility" . . "Wong" . . "study" . . "C. Association between NO2 concentration" . . "report" . . "Latvian" . . "environment" . "Liu" . . "NO2" . . "Ratti" . . "Qin" . . . "study of the impact" . . "channel" . . "diversity" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . . "5346"^^ . "https://api.rohub.org/api/ros/1167bfef-0c7c-4278-add5-49e85669e4b9/crate/download/" . . "2021-12-10 09:59:13.216859+00:00" . "2025-03-05 12:47:08.582493+00:00" . "2021-12-10 09:59:13.216859+00:00" . "The massive lockdown of global cities during the COVID-19 pandemic is substantially improving the atmospheric environment, which for the first time, urban mobility is virtually reduced to zero, and it is then possible to establish a baseline for air quality. By comparing these values with pre-COVID-19 data, it is possible to infer the likely effect of urban mobility and spatial configuration on the air quality. In the present study, a time-series prediction model is enhanced to estimate the nationwide NO2 concentrations before and during the lockdown measures in the United States, and 54 cities are included in the study. The prediction generates a notable NO2 difference between the observations if the lockdown is not considered, and the changes in urban mobility can explain the difference. It is found that the changes in urban mobility associated with various road textures have a significant impact on NO2 dispersion in different types of climates." . "application/ld+json" . . "https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9" . . "Association between NO2 concentrations and spatial configuration: a study of the impacts of COVID-19 lockdowns in 54 US cities" . "MANUAL" . . . . . . "Foglini, Federica. \"Association between NO2 concentrations and spatial configuration: a study of the impacts of COVID-19 lockdowns in 54 US cities.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9." . . "274"^^ . "https://api.rohub.org/api/resources/114ea0d4-8d42-4a3a-8025-b1aeb1f16d9c/download/" . . "2021-12-10 09:59:16.265687+00:00" . "2021-12-10 09:59:16.266495+00:00" . "The massive lockdown of global cities during the COVID-19 pandemic is substantially improving the atmospheric environment, which for the first time, urban mobility is virtually reduced to zero, and it is then possible to establish a baseline for air quality. By comparing these values with pre-COVID-19 data, it is possible to infer the likely effect of urban mobility and spatial configuration on the air quality. In the present study, a time-series prediction model is enhanced to estimate the nationwide NO2 concentrations before and during the lockdown measures in the United States, and 54 cities are included in the study. The prediction generates a notable NO2 difference between the observations if the lockdown is not considered, and the changes in urban mobility can explain the difference. It is found that the changes in urban mobility associated with various road textures have a significant impact on NO2 dispersion in different types of climates." . "text/plain" . . "Association between NO2 concentrations and spatial configuration: a study of the impacts of COVID-19 lockdowns in 54 US cities" . "2021-12-10 09:59:16.265687+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:43:58.946+01:00"^^ . . . . "Association between NO2 concentrations and spatial configuration: a study of the impacts of COVID-19 lockdowns in 54 US cities" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "w72oox8Ky774vQNoRJQUyP03/MSX9rubMGFs+a58xsAJ0jE6Ew4KIywB11RkR/vkAw4u4RCKR09PtMci8Yhsz6JI5kws6C3b9wZSyxG+xa5Wa/Hkr+Jb0ea6M095RwzDAnSPSf7sTlx8ztEI/Qn20sHq3u9VZEWQ3aIYzQ8n/9gyAI+Oxc1MQ5F4kQgBmJP19coAe3irg77pJGgDfR4+xbkHOcB5+hCvm7DdtlfEs+t28ER4K03TvhfanUE4PdTuXdGVpBzCoj64uqRSwMCeMGSJbIRLP3VoVBiifiRDCGESDtvSHmnMQxXrxIKWyTYHCKcirCrgrItIv23y8kr5Ug==" . . . . . . . "" . "Meteorology" . . "" . "Ecology" . . . "meteorology" . . "areas in France" . . "physics" . . "Piazzola" . . "onshore wind" . . "Continental Areas" . . "virus" . . "wind" . . "area" . . "weather" . . "aerosol" . . "humidity" . . "sea spray" . . "pollution" . . "contaminant" . . "France" . . "aerosol" . . "parent" . . "aerosol property" . . "property" . . "sea-spray aerosol" . . "virus survey" . . "France" . . "study" . . "propagation" . . "transport" . . "contamination of the population" . . "influence" . . "conduct" . . "continental area" . . "meteorological conditions" . . "Bruch" . . "chemistry" . . "virus transport" . . "virus propagation" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . . "4887"^^ . "https://api.rohub.org/api/ros/52066ce3-642d-446f-9189-ed0c641bfac5/crate/download/" . . "2021-12-10 09:59:19.179989+00:00" . "2025-03-05 00:55:13.910473+00:00" . "2021-12-10 09:59:19.179989+00:00" . "Human behaviors probably represent the most important causes of the SARS-Cov-2 virus propagation. However, the role of virus transport by aerosols-and therefore the influence of atmospheric conditions (temperature, humidity, type and concentration of aerosols)-on the spread of the epidemic remains an open and still debated question. This work aims to study whether or not the meteorological conditions related to the different aerosol properties in continental and coastal urbanized areas might influence the atmospheric transport of the SARS-Cov-2 virus. Our analysis focuses on the lockdown period to reduce the differences in the social behavior and highlight those of the weather conditions. As an example, we investigated the contamination cases during March 2020 in two specific French areas located in both continental and coastal areas with regard to the meteorological conditions and the corresponding aerosol properties, the optical depth (AOD) and the Angstrom exponent provided by the AERONET network. The results show that the analysis of aerosol ground-based data can be of interest to assess a virus survey. We found that moderate to strong onshore winds occurring in coastal regions and inducing humid environment and large sea-spray production episodes coincides with smaller COVID-19 contamination rates. We assume that the coagulation of SARS-Cov-2 viral particles with hygroscopic salty sea-spray aerosols might tend to inhibit its viral infectivity via possible reaction with NaCl, especially in high relative humidity environments typical of maritime sites." . "application/ld+json" . . "https://w3id.org/ro-id/52066ce3-642d-446f-9189-ed0c641bfac5" . . "Influence of Meteorological Conditions and Aerosol Properties on the COVID-19 Contamination of the Population in Coastal and Continental Areas in France: Study of Offshore and Onshore Winds" . "MANUAL" . . . . . . "Foglini, Federica. \"Influence of Meteorological Conditions and Aerosol Properties on the COVID-19 Contamination of the Population in Coastal and Continental Areas in France: Study of Offshore and Onshore Winds.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/52066ce3-642d-446f-9189-ed0c641bfac5." . . "295"^^ . "https://api.rohub.org/api/resources/c9e881e5-00e8-4a6a-927d-74acf2db4218/download/" . . "2021-12-10 09:59:22.107663+00:00" . "2021-12-10 09:59:22.108484+00:00" . "Human behaviors probably represent the most important causes of the SARS-Cov-2 virus propagation. However, the role of virus transport by aerosols-and therefore the influence of atmospheric conditions (temperature, humidity, type and concentration of aerosols)-on the spread of the epidemic remains an open and still debated question. This work aims to study whether or not the meteorological conditions related to the different aerosol properties in continental and coastal urbanized areas might influence the atmospheric transport of the SARS-Cov-2 virus. Our analysis focuses on the lockdown period to reduce the differences in the social behavior and highlight those of the weather conditions. As an example, we investigated the contamination cases during March 2020 in two specific French areas located in both continental and coastal areas with regard to the meteorological conditions and the corresponding aerosol properties, the optical depth (AOD) and the Angstrom exponent provided by the AERONET network. The results show that the analysis of aerosol ground-based data can be of interest to assess a virus survey. We found that moderate to strong onshore winds occurring in coastal regions and inducing humid environment and large sea-spray production episodes coincides with smaller COVID-19 contamination rates. We assume that the coagulation of SARS-Cov-2 viral particles with hygroscopic salty sea-spray aerosols might tend to inhibit its viral infectivity via possible reaction with NaCl, especially in high relative humidity environments typical of maritime sites." . "text/plain" . . "Influence of Meteorological Conditions and Aerosol Properties on the COVID-19 Contamination of the Population in Coastal and Continental Areas in France: Study of Offshore and Onshore Winds" . "2021-12-10 09:59:22.107663+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:43:57.561+01:00"^^ . . . . "Influence of Meteorological Conditions and Aerosol Properties on the COVID-19 Contamination of the Population in Coastal and Continental Areas in France: Study of Offshore and Onshore Winds" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "YRJ29lkcmButBmBgu0+wQehmPgTaMlLgT3h/WjtQVtAFksYxshRv66gtHH921HYLME5z7G2lW+bCt+D4pnzb8LXH+xbcEf3/rrSxqGUFbGv28Xe1Ks1Xrp65QQY/k7jxQRHXZKPSzXpxyA4QgnKjZtiGRbRtRh1vAVB5WXYpeXesvEQZgl4bVO91pfZr5ooi1/Wez33Ym+giWv0hXjYqMqbP19utBoxxQBPx+WXRMgg4b/TTIyzQpoAaOMEc6dXJK7OiDW/bsz99yhU5Zek/7oUsBUWaYZpOWCatNqByTLjycutjXTmvVtD378pjGLjC/DbPt3lPtLOg67pvIrVPWg==" . . . . . . . "" . "Meteorology" . . "" . "Ecology" . . . "ultrafine particles number concentration" . . "observation site" . . "suburban area in Italy" . . "physics" . . "particles concentration" . . "Donateo" . . "medicine" . . "magnetic field" . . "measure" . . "website" . . "particle" . . "suburb" . . "concentration" . . "flux" . . "measurement site" . . "flux" . . "Italy" . . "particle source" . . "PM10" . . "ultrafine particles concentration" . . "lockdown" . . "work" . . "decrease" . . "limitation" . . "concentration" . . "fluxes in a suburban area" . . "fluxes of SARS-CoV-2 lockdown" . . "chemistry" . . "Italy" . . "turbulent flux" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . . "4445"^^ . "https://api.rohub.org/api/ros/40d5834d-5081-4190-93f8-952808686088/crate/download/" . . "2021-12-10 09:59:25.107630+00:00" . "2025-03-05 00:55:11.644009+00:00" . "2021-12-10 09:59:25.107630+00:00" . "In order to slow the spread of SARS-CoV-2, governments have implemented several restrictive measures (lockdown, stay-in-place, and quarantine policies). These provisions have drastically changed the routines of residents, altering environmental conditions in the affected areas. In this context, our work analyzes the effects of the reduced emissions during the COVID-19 period on the ultrafine particles number concentration and their turbulent fluxes in a suburban area. COVID-19 restrictions did not significantly reduce anthropogenic related PM10 and PM2.5 levels, with an equal decrement of about 14%. The ultrafine particle number concentration during the lockdown period decreased by 64% in our measurement area, essentially due to the lower traffic activity. The effect of the restriction measures and the reduction of vehicles traffic was predominant in reducing concentration rather than meteorological forcing. During the lockdown in 2020, a decrease of 61% in ultrafine particle positive fluxes can be observed. At the same time, negative fluxes decreased by 59% and our observation site behaved, essentially, as a sink of ultrafine particles. Due to this behavior, we can conclude that the principal particle sources during the lockdown were far away from the measurement site." . "application/ld+json" . . "https://w3id.org/ro-id/40d5834d-5081-4190-93f8-952808686088" . . "Impact on Ultrafine Particles Concentration and Turbulent Fluxes of SARS-CoV-2 Lockdown in a Suburban Area in Italy" . "MANUAL" . . . . . . "Foglini, Federica. \"Impact on Ultrafine Particles Concentration and Turbulent Fluxes of SARS-CoV-2 Lockdown in a Suburban Area in Italy.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/40d5834d-5081-4190-93f8-952808686088." . . "192"^^ . "https://api.rohub.org/api/resources/e76849ec-97fb-4204-b263-a15e70dae87f/download/" . . "2021-12-10 09:59:28.201666+00:00" . "2021-12-10 09:59:28.202641+00:00" . "In order to slow the spread of SARS-CoV-2, governments have implemented several restrictive measures (lockdown, stay-in-place, and quarantine policies). These provisions have drastically changed the routines of residents, altering environmental conditions in the affected areas. In this context, our work analyzes the effects of the reduced emissions during the COVID-19 period on the ultrafine particles number concentration and their turbulent fluxes in a suburban area. COVID-19 restrictions did not significantly reduce anthropogenic related PM10 and PM2.5 levels, with an equal decrement of about 14%. The ultrafine particle number concentration during the lockdown period decreased by 64% in our measurement area, essentially due to the lower traffic activity. The effect of the restriction measures and the reduction of vehicles traffic was predominant in reducing concentration rather than meteorological forcing. During the lockdown in 2020, a decrease of 61% in ultrafine particle positive fluxes can be observed. At the same time, negative fluxes decreased by 59% and our observation site behaved, essentially, as a sink of ultrafine particles. Due to this behavior, we can conclude that the principal particle sources during the lockdown were far away from the measurement site." . "text/plain" . . "Impact on Ultrafine Particles Concentration and Turbulent Fluxes of SARS-CoV-2 Lockdown in a Suburban Area in Italy" . "2021-12-10 09:59:28.201666+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:43:56.170+01:00"^^ . . . . "Impact on Ultrafine Particles Concentration and Turbulent Fluxes of SARS-CoV-2 Lockdown in a Suburban Area in Italy" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "ZIwPNaO2bQ0nhFnX0CfEFPcr36yPYKQiGsH5uqaShG4wpSjo4MM2ufft4hTTxsx2bbjaeAQOeFyriWwqXVVGiPs4lVQson4r0Iy2Te2t4dFVPe0UZhLIRMrvCNolM/6d7Buf9Bj4lche+2KRnomrX2zWI+lhTfF4jkSNdJ4ztkcbfpTzvHJ2puFIeyi5jql4vMgOKxov99m5RtGj8Cx1BEUvOPlZBwqIzhnxGLZBxq8pSfTIeKqqFHAQRPzaLrCMX90sz1lbscxYY6LFuXHDIsIMjJXM0KAF+fi4TYV0QMuWV/aE8AEH0isL0D716PalpH615RdDGMLSGd7anBkRjQ==" . . . . . . . "" . "Meteorology" . . "" . "Ecology" . . . "South Italy" . . "meteorology" . . "nanoparticle concentration" . . "submicron particle concentration" . . "physics" . . "medicine" . . "chromium" . . "pandemic" . . "website" . . "nanoparticle" . . "particle" . . "coronavirus" . . "concentration" . . "pandemic lockdown" . . "Lecce" . . "reduction" . . "Lamezia Terme" . . "ACTRIS network" . . "Lamezia Terme" . . "sites of Southern Italy" . . "coronavirus pandemic lockdown" . . "number concentration" . . "lockdown" . . "guaranteed annual wage" . . "betterment" . . "outbreak" . . "distribution" . . "atmospheric nanoparticle concentration" . . "percentage reduction" . . "infection" . . "Dinoi" . . "chemistry" . . "Lecce" . . "coronavirus infection outbreak" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . . "5734"^^ . "https://api.rohub.org/api/ros/36235e43-d179-496e-84bf-2a8a6c3e7a17/crate/download/" . . "2021-12-10 09:59:31.781022+00:00" . "2025-03-05 00:55:10.786546+00:00" . "2021-12-10 09:59:31.781022+00:00" . "During the new coronavirus infection outbreak, the application of strict containment measures entailed a decrease in most human activities, with the consequent reduction of anthropogenic emissions into the atmosphere. In this study, the impact of lockdown on atmospheric particle number concentrations and size distributions is investigated in two different sites of Southern Italy: Lecce and Lamezia Terme, regional stations of the GAW/ACTRIS networks. The effects of restrictions are quantified by comparing submicron particle concentrations, in the size range from 10 nm to 800 nm, measured during the lockdown period and in the same period of previous years, from 2015 to 2019, considering three time intervals: prelockdown, lockdown and postlockdown. Different percentage reductions in total particle number concentrations are observed, -19% and -23% in Lecce and -7% and -4% in Lamezia Terme during lockdown and postlockdown, respectively, with several variations in each subclass of particles. From the comparison, no significant variations of meteorological factors are observed except a reduction of rainfall in 2020, which might explain the higher levels of particle concentrations measured during prelockdown at both stations. In general, the results demonstrate an improvement of air quality, more conspicuous in Lecce than in Lamezia Terme, during the lockdown, with a differed reduction in the concentration of submicronic particles that depends on the different types of sources, their distance from observational sites and local meteorology." . "application/ld+json" . . "https://w3id.org/ro-id/36235e43-d179-496e-84bf-2a8a6c3e7a17" . . "Impact of the Coronavirus Pandemic Lockdown on Atmospheric Nanoparticle Concentrations in Two Sites of Southern Italy" . "MANUAL" . . . . . . "Foglini, Federica. \"Impact of the Coronavirus Pandemic Lockdown on Atmospheric Nanoparticle Concentrations in Two Sites of Southern Italy.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/36235e43-d179-496e-84bf-2a8a6c3e7a17." . . "217"^^ . "https://api.rohub.org/api/resources/b6fad1b7-1afd-4d69-a13c-30506334c57b/download/" . . "2021-12-10 09:59:34.605282+00:00" . "2021-12-10 09:59:34.606484+00:00" . "During the new coronavirus infection outbreak, the application of strict containment measures entailed a decrease in most human activities, with the consequent reduction of anthropogenic emissions into the atmosphere. In this study, the impact of lockdown on atmospheric particle number concentrations and size distributions is investigated in two different sites of Southern Italy: Lecce and Lamezia Terme, regional stations of the GAW/ACTRIS networks. The effects of restrictions are quantified by comparing submicron particle concentrations, in the size range from 10 nm to 800 nm, measured during the lockdown period and in the same period of previous years, from 2015 to 2019, considering three time intervals: prelockdown, lockdown and postlockdown. Different percentage reductions in total particle number concentrations are observed, -19% and -23% in Lecce and -7% and -4% in Lamezia Terme during lockdown and postlockdown, respectively, with several variations in each subclass of particles. From the comparison, no significant variations of meteorological factors are observed except a reduction of rainfall in 2020, which might explain the higher levels of particle concentrations measured during prelockdown at both stations. In general, the results demonstrate an improvement of air quality, more conspicuous in Lecce than in Lamezia Terme, during the lockdown, with a differed reduction in the concentration of submicronic particles that depends on the different types of sources, their distance from observational sites and local meteorology." . "text/plain" . . "Impact of the Coronavirus Pandemic Lockdown on Atmospheric Nanoparticle Concentrations in Two Sites of Southern Italy" . "2021-12-10 09:59:34.605282+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:43:54.794+01:00"^^ . . . . "Impact of the Coronavirus Pandemic Lockdown on Atmospheric Nanoparticle Concentrations in Two Sites of Southern Italy" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "w1r8fQ1Z2m0HY7EMjgCAAQZLWQ9cFckr1AzqU9P+Cj+ww9arhuUZwgCp0J9JIgu3XL2CapVi2MVURN1bQFQ0w2ay6BW+QoFF6l8K2Nr691zJDnlnteKslYD8vcCHDW+DyCYQWxhN+U4N741YX1rqCT/0b6htko47EhfW2Bab3qvXp039fPex2e5RV9Xywe5avHFBXu9BaFxo0CiDtR5c6aesktxDECh2LNIwTMcAFQSba9ZLUC3J0NaCAi/8ZM6U7OykE4mvNNNz0MsCwBdhWNRdWizfOXNSrJng3FjRsmnKLdUmWC/rGzI4ct50l7yTVaH7XiJ6z1pXnt0y66E5zA==" . . . . . . . "" . "Meteorology" . . "" . "Ecology" . . . "Chem. Phys" . . "United Kingdom" . "World Health Organization" . . . "BC source" . . "ambient black carbon" . . "ecology" . . "Europe due to COVID-19 lockdown" . . "Evangeliou" . . "medicine" . . "World Health Organization" . . "pandemic" . . "Eastern Europe" . . "chemist" . . "black carbon" . . "country" . . "Eastern Europe" . . "reduction" . . "Germany" . . "black carbon" . . "Europe" . . "black carbon emission" . "Brem" . . . "Europe" . . "France" . . "lockdown" . . "lockdown" . . "lockdown period" . . "air quality" . . "pollutant emission" . . "light absorption" . . "impact" . "British Telecom" . . . "emission" . . "China" . . "chemistry" . . "Italy" . . "lockdown impact" . . "Spain" . . "Eckhardt" . . "Wuhan" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . . "6340"^^ . "https://api.rohub.org/api/ros/629b2be8-2457-44e9-bf8f-8aaba3fde6a8/crate/download/" . . "2021-12-10 09:59:37.625454+00:00" . "2025-03-05 00:48:40.947446+00:00" . "2021-12-10 09:59:37.625454+00:00" . "Following the emergence of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) responsible for COVID-19 in December 2019 in Wuhan (China) and its spread to the rest of the world, the World Health Organization declared a global pandemic in March 2020. Without effective treatment in the initial pandemic phase, social distancing and mandatory quarantines were introduced as the only available preventative measure. In contrast to the detrimental societal impacts, air quality improved in all countries in which strict lockdowns were applied, due to lower pollutant emissions. Here we investigate the effects of the COVID-19 lockdowns in Europe on ambient black carbon (BC), which affects climate and damages health, using in situ observations from 17 European stations in a Bayesian inversion framework. BC emissions declined by 23 kt in Europe (20% in Italy, 40% in Germany, 34% in Spain, 22% in France) during lockdowns compared to the same period in the previous 5 years, which is partially attributed to COVID-19 measures. BC temporal variation in the countries enduring the most drastic restrictions showed the most distinct lockdown impacts. Increased particle light absorption in the beginning of the lockdown, confirmed by assimilated satellite and remote sensing data, suggests residential combustion was the dominant BC source. Accordingly, in central and Eastern Europe, which experienced lower than average temperatures, BC was elevated compared to the previous 5 years. Nevertheless, an average decrease of 11% was seen for the whole of Europe compared to the start of the lockdown period, with the highest peaks in France (42 %), Germany (21 %), UK (13 %), Spain (11 %) and Italy (8 %). Such a decrease was not seen in the previous years, which also confirms the impact of COVID-19 on the European emissions of BC." . "application/ld+json" . . "https://w3id.org/ro-id/629b2be8-2457-44e9-bf8f-8aaba3fde6a8" . . "Changes in black carbon emissions over Europe due to COVID-19 lockdowns" . "MANUAL" . . . . . . "Foglini, Federica. \"Changes in black carbon emissions over Europe due to COVID-19 lockdowns.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/629b2be8-2457-44e9-bf8f-8aaba3fde6a8." . . "405"^^ . "https://api.rohub.org/api/resources/5446a5a9-d79e-41e6-9673-626bb47b240f/download/" . . "2021-12-10 09:59:40.457611+00:00" . "2021-12-10 09:59:40.458628+00:00" . "Following the emergence of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) responsible for COVID-19 in December 2019 in Wuhan (China) and its spread to the rest of the world, the World Health Organization declared a global pandemic in March 2020. Without effective treatment in the initial pandemic phase, social distancing and mandatory quarantines were introduced as the only available preventative measure. In contrast to the detrimental societal impacts, air quality improved in all countries in which strict lockdowns were applied, due to lower pollutant emissions. Here we investigate the effects of the COVID-19 lockdowns in Europe on ambient black carbon (BC), which affects climate and damages health, using in situ observations from 17 European stations in a Bayesian inversion framework. BC emissions declined by 23 kt in Europe (20% in Italy, 40% in Germany, 34% in Spain, 22% in France) during lockdowns compared to the same period in the previous 5 years, which is partially attributed to COVID-19 measures. BC temporal variation in the countries enduring the most drastic restrictions showed the most distinct lockdown impacts. Increased particle light absorption in the beginning of the lockdown, confirmed by assimilated satellite and remote sensing data, suggests residential combustion was the dominant BC source. Accordingly, in central and Eastern Europe, which experienced lower than average temperatures, BC was elevated compared to the previous 5 years. Nevertheless, an average decrease of 11% was seen for the whole of Europe compared to the start of the lockdown period, with the highest peaks in France (42 %), Germany (21 %), UK (13 %), Spain (11 %) and Italy (8 %). Such a decrease was not seen in the previous years, which also confirms the impact of COVID-19 on the European emissions of BC." . "text/plain" . . "Changes in black carbon emissions over Europe due to COVID-19 lockdowns" . "2021-12-10 09:59:40.457611+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:43:53.424+01:00"^^ . . . . "Changes in black carbon emissions over Europe due to COVID-19 lockdowns" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "EN9OMfaBAickO2x0uUJw+H8Xp71Nwuj2bi5DU1vZm3xRpvf5agBuava6p4kxXtVsahvce6MtL5lvmxIbsSYYTxOlDCrkUbTn9ZvK3wcv1TYMqUwUTt1OcueQTrxEEtHKihWgjJYF8PspIL3qe25BNSEG2CA7rJNq7VnXKnk+JcHR6E87uX3kS+XKzMPJ1wFy0aGMMJMlkGOvnf2yfO2Re6ah+gGhdkuaQcqbPyZ7LZIFPS0ksQBkScYwYATm4hRxhl4MOwsgRgxrX+6+ArdrDxPwrl5dwqlzTKJJZOug4Gh9gzRut9crxwEs2mz0aR1CSffQABwRUDyW6spgJWB02w==" . . . . . . . "" . "Ecology" . . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "geology" . . "58.410407812669014" . "0.6472741365432739" . "patient management" . . "3.5924232527759634" . "5.5" . "Int. J." . . "40.88830829523187" . "62.6" . "health" . . "4.88929889298893" . "5.3" . "emergency action" . . "5.878510777269758" . "9.0" . "As the Italian health system is regionally based, COVID-19 emergency actions are based on a general lockdown imposed by national authority and then management at local level by 21 regional authorities." . . "12.28733459357278" . "19.5" . "pandemic response plan" . . "11.691704768125406" . "17.9" . "Lombardy" . . "8.671586715867159" . "9.4" . "pandemic" . . "6.4575645756457565" . "7.0" . "service-account-enrichment" . . . . "5564"^^ . "https://api.rohub.org/api/ros/2cb6e395-bccb-4a36-a88a-f52f222e6aa3/crate/download/" . . "2021-12-10 09:59:43.703633+00:00" . "2025-03-05 00:46:18.902167+00:00" . "2021-12-10 09:59:43.703633+00:00" . "As the Italian health system is regionally based, COVID-19 emergency actions are based on a general lockdown imposed by national authority and then management at local level by 21 regional authorities. Therefore, the pandemic response plan developed by each region led to different approaches. The aim of this paper is to analyze whether differences in patient management may have influenced the local course of the epidemic. The analysis on the 21 Italian regions considers the strategies adopted in terms of hospitalization, treatment in the ICU and at home. Moreover, an in-depth analysis was carried out on: Lombardia, which adopted a hospitalization approach; Veneto, which tended to confine patients at home; and Emilia Romagna, which adopted a mixed hospitalization-home based approach. The majority of regions implemented a home-based approach, while the hospital approach was followed in three regions (Lombardia, Piemonte, and Lazio), mainly limited to the first period of the outbreak. All regions in the later phases tended to reduce hospitalization, preferring to confine patients at home. This comparison, highlighting the different phases of the pandemic, outlined that the adoption of home-based practices contributed to limiting infection rates among patients and health professionals as well as decreasing the number of deaths." . "application/ld+json" . . "https://w3id.org/ro-id/2cb6e395-bccb-4a36-a88a-f52f222e6aa3" . . "Analysis of the Different Approaches Adopted in the Italian Regions to Care for Patients Affected by COVID-19" . "MANUAL" . . . . . . "https://w3id.org/ro-id/5c04d90a-500e-4319-bc89-51d65e892a66" . "https://w3id.org/ro-id/9ecc8253-d098-4fd4-8894-1c7eaf681b03" . "https://w3id.org/ro-id/3dbf25f9-9d2f-472f-8cb4-dce90b009dc2" . "https://w3id.org/ro-id/69c2993a-7b19-4642-9040-a335b918648f" . "https://w3id.org/ro-id/7b222b62-9f3a-4fd9-b209-68a4207783a7" . "https://w3id.org/ro-id/c6b2bab9-60eb-4131-8f1f-65ed82e08459" . "https://w3id.org/ro-id/d162c5bb-a120-4f73-bfa8-778c64f56e6d" . "https://w3id.org/ro-id/1b047bc7-e592-4ba3-a67a-395fa4e9ba65" . "https://w3id.org/ro-id/260bcbb2-dd5a-4f70-b088-ce2fdaac260d" . "https://w3id.org/ro-id/283da705-81e5-48df-b01f-c37f5840461c" . "https://w3id.org/ro-id/34ca3f01-3815-44dc-a292-11da9fd6ecf2" . "https://w3id.org/ro-id/414da530-9606-4ff0-9ce1-cb7b2ead6c80" . "https://w3id.org/ro-id/5ce8058d-a913-4a6a-ad72-b7a49fc41d1d" . "https://w3id.org/ro-id/733d2e94-a0fd-4a76-8c3b-9887ced0bb49" . "https://w3id.org/ro-id/8a43c305-ebc5-4b8f-bea3-75be459974a7" . "https://w3id.org/ro-id/9c974d86-d31e-418c-ad04-1bb4e9ae490e" . "https://w3id.org/ro-id/9d86b31a-0a6d-402b-ae29-ed8c320ba39a" . "https://w3id.org/ro-id/9fa35b61-3f90-480e-9bae-ace65cd5efe3" . "https://w3id.org/ro-id/a7442850-e8cf-41ef-a23a-7ec782b55505" . "https://w3id.org/ro-id/e87edd68-8af9-48f6-9c8e-7f29913db96e" . "https://w3id.org/ro-id/eed92be3-806c-4f18-8907-8fb515f70374" . "https://w3id.org/ro-id/0c04cefc-bd79-4a35-bda4-fd236ae00b8f" . "https://w3id.org/ro-id/63a7da15-138a-4e30-8cad-aa57d1c032b1" . "https://w3id.org/ro-id/a0a24214-f7a1-4bfa-877a-c4ce8e5ea022" . "https://w3id.org/ro-id/c2797563-6aa3-4d6a-8e74-a7cd122ce144" . "https://w3id.org/ro-id/5b3154cb-cbd8-42fe-90e2-05df59beed82" . "https://w3id.org/ro-id/772151fd-a140-4e48-9c7a-d9b61e106f93" . "https://w3id.org/ro-id/84b31486-d952-481e-8aff-f338cdd25499" . "https://w3id.org/ro-id/a46e6eb5-7d19-4e53-8d4b-789a11d516f9" . "https://w3id.org/ro-id/af35ae6b-7e7b-4f5b-8a15-ba5e55cf906a" . "https://w3id.org/ro-id/3f60f9c4-1b50-4f4d-806b-ac6a7c3e4347" . "https://w3id.org/ro-id/50c7826d-25a4-4f46-8ca1-9b0b5a81571c" . "https://w3id.org/ro-id/8296c3cc-f553-4298-86ea-b9eca0fcfd46" . "https://w3id.org/ro-id/9fd6ba00-aeb4-4e9e-96db-9520bc5f63cf" . "https://w3id.org/ro-id/a05527bb-e071-476f-894f-df5f7f9cbb9c" . "https://w3id.org/ro-id/a5fd6650-e8ba-401c-add8-dd81cfddccbf" . "https://w3id.org/ro-id/bb7a5ec9-2874-4a19-b588-a106e2b39741" . "https://w3id.org/ro-id/c1891194-360f-42fa-b46a-8c4af5a33fdc" . "https://w3id.org/ro-id/c2ccd306-b323-4578-b664-36139727e8c9" . "https://w3id.org/ro-id/d25fab40-4250-4877-aa5a-5a491b0feb17" . "https://w3id.org/ro-id/f8bb1f0f-a4b3-4b55-9736-f698775b68b3" . "https://w3id.org/ro-id/f9cd9900-1faa-4506-b6b0-b13c7378f1ea" . "https://w3id.org/ro-id/b7cf6d88-379d-4e12-b0f0-c88a38a04751" . "https://w3id.org/ro-id/f7c33079-5ec6-48db-abac-7e05a600c0f2" . "https://w3id.org/ro-id/0f74e125-e765-4ce2-a534-f5811c080910" . "https://w3id.org/ro-id/1a692bc1-c508-4075-b2a7-c91f81797559" . "https://w3id.org/ro-id/1de81368-789a-4fdf-afe7-ea08bceff14d" . "https://w3id.org/ro-id/23411119-c5d2-4dc3-8f53-dd3920c17465" . "https://w3id.org/ro-id/747fb36a-cab1-45b0-bf56-832bb30851b4" . "https://w3id.org/ro-id/7841a673-faa7-47bb-b58b-3846950e7001" . "https://w3id.org/ro-id/92d6b73e-c950-46d7-94dc-f4e001e9c974" . "https://w3id.org/ro-id/a93e292f-e018-4173-9996-be5c588c22f7" . "https://w3id.org/ro-id/d7dc09a6-17b6-4bc4-882c-9fde30427577" . "https://w3id.org/ro-id/ea324d03-324b-42e0-8402-41e7f7a116fa" . "https://w3id.org/ro-id/1f8af77d-5d2d-45f7-b168-70a300971b37" . "https://w3id.org/ro-id/3d0607ef-f907-4d28-9ec9-fc1751b29808" . "https://w3id.org/ro-id/52771653-358c-4717-8beb-b17eedec0973" . "https://w3id.org/ro-id/6ba387b2-c79b-4f1c-baf1-192f97b88bfc" . "https://w3id.org/ro-id/9d8c05aa-712d-4d86-83f5-a08b2c66c25f" . "https://w3id.org/ro-id/ec018e1d-a1e1-457f-bdab-6669b2ce39f8" . "Foglini, Federica. \"Analysis of the Different Approaches Adopted in the Italian Regions to Care for Patients Affected by COVID-19.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/2cb6e395-bccb-4a36-a88a-f52f222e6aa3." . . "208"^^ . "https://api.rohub.org/api/resources/e78611f1-e1ff-4282-94aa-ae2a4c2e4116/download/" . . "2021-12-10 09:59:47.189985+00:00" . "2021-12-10 09:59:47.191036+00:00" . "As the Italian health system is regionally based, COVID-19 emergency actions are based on a general lockdown imposed by national authority and then management at local level by 21 regional authorities. Therefore, the pandemic response plan developed by each region led to different approaches. The aim of this paper is to analyze whether differences in patient management may have influenced the local course of the epidemic. The analysis on the 21 Italian regions considers the strategies adopted in terms of hospitalization, treatment in the ICU and at home. Moreover, an in-depth analysis was carried out on: Lombardia, which adopted a hospitalization approach; Veneto, which tended to confine patients at home; and Emilia Romagna, which adopted a mixed hospitalization-home based approach. The majority of regions implemented a home-based approach, while the hospital approach was followed in three regions (Lombardia, Piemonte, and Lazio), mainly limited to the first period of the outbreak. All regions in the later phases tended to reduce hospitalization, preferring to confine patients at home. This comparison, highlighting the different phases of the pandemic, outlined that the adoption of home-based practices contributed to limiting infection rates among patients and health professionals as well as decreasing the number of deaths." . "text/plain" . . "Analysis of the Different Approaches Adopted in the Italian Regions to Care for Patients Affected by COVID-19" . "2021-12-10 09:59:47.189985+00:00" . . . . . . "testing" . . "5.1660516605166045" . "5.6" . "Pecoraro, F; Luzi, D; Clemente, F. Analysis of the Different Approaches Adopted in the Italian Regions to Care for Patients Affected by COVID-19." . . "54.631379962192824" . "86.7" . "Piedmont" . . "https://www.wikidata.org/wiki/Q1216" . "J." . . "6.058446186742693" . "8.5" . "Emilia Romagna" . . "6.365313653136531" . "6.9" . "patient" . . "20.171062009978616" . "28.3" . "Moreover, an in-depth analysis was carried out on: Lombardia, which adopted a hospitalization approach; Veneto, which tended to confine patients at home; and Emilia Romagna, which adopted a mixed hospitalization-home based approach." . . "12.917454316320102" . "20.5" . "Epidemic" . . "Health/Diseases and conditions/Communicable disease/Epidemic" . "medicine" . . "79.69924812030075" . "21.2" . "plan" . . "4.704797047970479" . "5.1" . "earth sciences" . . "41.589592187330986" . "0.4608744978904724" . "Emilia Romagna" . . "https://www.wikidata.org/wiki/Q1263" . "Analysis of the Different Approaches Adopted in the Italian Regions to Care for Patients Affected by COVID-19." . . "11.909262759924385" . "18.9" . "phase" . . "3.5055350553505535" . "3.8" . "volume 18" . . "0.914435009797518" . "1.4" . "Health" . . "Health" . "Res. public health 2021" . . "3.3311561071195293" . "5.1" . "Lombardy" . . "https://www.wikidata.org/wiki/Q1210" . "Venetia" . . "4.1339985744832495" . "5.8" . "Health facility" . . "Health/Health facility" . "hospitalization" . . "9.04059040590406" . "9.8" . "hospitalization approach" . . "9.732201175702155" . "14.9" . "research" . . "3.044280442804428" . "3.3" . "Venetia" . . "7.380073800738007" . "8.0" . "(Int. J. Environ." . . "6.931316950220542" . "11.0" . "hospitals" . . "20.30075187969925" . "5.4" . "lockdown" . . "4.52029520295203" . "4.9" . "hospitalization" . . "5.844618674269421" . "8.2" . "Luzi" . . "6.557377049180326" . "9.2" . "geochemistry" . . "41.589592187330986" . "0.4608744978904724" . "Capital punishment" . . "Crime, law and justice/Law enforcement/Punishment (criminal)/Capital punishment" . "covid 19" . . "17.177476835352813" . "24.1" . "patient" . . "27.398523985239855" . "29.700000000000003" . "health system" . . "5.355976485956891" . "8.2" . "Adoption" . . "Society/Family/Adoption" . "life sciences" . . "100.0" . "1.6412524580955505" . "Clemente" . . "8.838203848895224" . "12.4" . "pandemic" . . "4.1339985744832495" . "5.8" . "earth sciences" . . "58.410407812669014" . "0.6472741365432739" . "F. Analysis" . . "10.192444761225943" . "14.3" . "Lazio" . . "https://www.wikidata.org/wiki/Q1282" . "Venetia" . . "https://www.wikidata.org/wiki/Q1243" . "Pecoraro" . . "7.483962936564504" . "10.5" . "F. Analysis of the different approach" . . "11.887655127367735" . "18.2" . "authority" . . "5.350553505535055" . "5.8" . "care for patient" . . "6.7276290006531685" . "10.3" . "Res. Public Health 2021, Volume 18, issue 3)" . . "1.3232514177693764" . "2.1" . "approach" . . "3.5055350553505535" . "3.8" . "life sciences (general)" . . "100.0" . "1.6412524580955505" . "Emilia Romagna" . . "3.9201710620099783" . "5.5" . "Lombardy" . . "5.48823948681397" . "7.7" . "service-account-generation-service" . . . "2026-03-03T16:43:51.965+01:00"^^ . . . . "Analysis of the Different Approaches Adopted in the Italian Regions to Care for Patients Affected by COVID-19" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "NLKG634FIM9SUUK6SGvOvmJqTv446V401cNbC4h6TdHBflCTxa3+kAhW84HmdEnuljGG7WYjRWjQRtZGPn4nbOAjD5+CDDwZHTHs2I0bTPP7UJohE/knW2HYpz5FsoTLH4/q1XHXzEsQPKRoNaHvQs86eFFCVECGR8iNgG3CqoyXTdc5rkvyg+M/bbK27JMCm641hFvDCXWF755qObbzC3mHsIhY1AITcW/YklI8J+tBaQk1G96VsIgVCTUr1cKbYJH11iUSTpVj1bZg4bvZ1ti8mqYtghRiTXSfh6LAizmaMYqqXAKmHGe6XnDABr9DSeGoxS8lbqugM5NR9kb8CA==" . . . . . . . "" . "Ecology" . . . "psychology" . . "urban video" . . "Zabini" . . "Int. J." . . "computer video" . . "forest environment" . . "medicine" . . "television system" . . "pandemic" . . "video" . . "inhalation" . . "value" . . "mean effective pressure" . . "health effect" . . "intrinsic value" . . "forest" . . "effective" . . "Study of the restorative effect" . "Gavazzi" . . . "forest experience" . . "prolonged lockdown" . "Gronchi" . . . "lockdown" . "J." . . . "potency" . . "study" . . "biogenic volatile organic compounds" . . "benchmark" . . "environment" . . "participant" . . "benchmark value" . . "effect" . . "MP. comparative Study" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . "5860"^^ . "https://api.rohub.org/api/ros/b3c216f9-6567-49d0-9c9c-900582f5ed52/crate/download/" . . "2021-12-10 09:59:50.276706+00:00" . "2025-03-05 00:47:00.204820+00:00" . "2021-12-10 09:59:50.276706+00:00" . "The prolonged lockdown imposed to contain the COrona VIrus Disease 19 COVID-19 pandemic prevented many people from direct contact with nature and greenspaces, raising alarms for a possible worsening of mental health. This study investigated the effectiveness of a simple and affordable remedy for improving psychological well-being, based on audio-visual stimuli brought by a short computer video showing forest environments, with an urban video as a control. Randomly selected participants were assigned the forest or urban video, to look at and listen to early in the morning, and questionnaires to fill out. In particular, the State-Trait Anxiety Inventory (STAI) Form Y collected in baseline condition and at the end of the study and the Part II of the Sheehan Patient Rated Anxiety Scale (SPRAS) collected every day immediately before and after watching the video. The virtual exposure to forest environments showed effective to reduce perceived anxiety levels in people forced by lockdown in limited spaces and environmental deprivation. Although significant, the effects were observed only in the short term, highlighting the limitation of the virtual experiences. The reported effects might also represent a benchmark to disentangle the determinants of health effects due to real forest experiences, for example, the inhalation of biogenic volatile organic compounds (BVOC)." . "application/ld+json" . . "https://w3id.org/ro-id/b3c216f9-6567-49d0-9c9c-900582f5ed52" . . "Comparative Study of the Restorative Effects of Forest and Urban Videos during COVID-19 Lockdown: Intrinsic and Benchmark Values" . "MANUAL" . . . . . . "Foglini, Federica. \"Comparative Study of the Restorative Effects of Forest and Urban Videos during COVID-19 Lockdown: Intrinsic and Benchmark Values.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/b3c216f9-6567-49d0-9c9c-900582f5ed52." . . "374"^^ . "https://api.rohub.org/api/resources/e9dabf30-3b11-48ad-a755-cdd05ca83b36/download/" . . "2021-12-10 09:59:52.847900+00:00" . "2021-12-10 09:59:52.849079+00:00" . "The prolonged lockdown imposed to contain the COrona VIrus Disease 19 COVID-19 pandemic prevented many people from direct contact with nature and greenspaces, raising alarms for a possible worsening of mental health. This study investigated the effectiveness of a simple and affordable remedy for improving psychological well-being, based on audio-visual stimuli brought by a short computer video showing forest environments, with an urban video as a control. Randomly selected participants were assigned the forest or urban video, to look at and listen to early in the morning, and questionnaires to fill out. In particular, the State-Trait Anxiety Inventory (STAI) Form Y collected in baseline condition and at the end of the study and the Part II of the Sheehan Patient Rated Anxiety Scale (SPRAS) collected every day immediately before and after watching the video. The virtual exposure to forest environments showed effective to reduce perceived anxiety levels in people forced by lockdown in limited spaces and environmental deprivation. Although significant, the effects were observed only in the short term, highlighting the limitation of the virtual experiences. The reported effects might also represent a benchmark to disentangle the determinants of health effects due to real forest experiences, for example, the inhalation of biogenic volatile organic compounds (BVOC)." . "text/plain" . . "Comparative Study of the Restorative Effects of Forest and Urban Videos during COVID-19 Lockdown: Intrinsic and Benchmark Values" . "2021-12-10 09:59:52.847900+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:43:50.561+01:00"^^ . . . . "Comparative Study of the Restorative Effects of Forest and Urban Videos during COVID-19 Lockdown: Intrinsic and Benchmark Values" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "C5LiH3Oua/athUNVhdkB+C3u32AQFWwQp36s3KuaBxHWZKbINZRQe5QcAO5dse17xbHXGlXanpOq6gBBeiARXDN3JNr/ep/+NGT4A97ytD7fh1ekHrvc8t8qIcbq6yQVzQMmp8q3a4rmCPOGRSNhtFWDJzRH3JSJFF8bxlHq3IIwBCTF5B5/eCBCwCnKOKSvw6CUEuxThpYkEk+q6xSzK/YwczAChL4IRw/iYRh1W7Cu9soY46PkIsMM8vR7/GJij0cGi8Jj52a1T5aPZ+g+0jVGkt/bDBc33vh79UZc0NTy/p5rzdXxG3tX27Hwyjf9qZRq1MPRTTCkyfHbV/GQmA==" . . . . . . . "" . "Ecology" . . . "red zone" . . "visitation of garden" . . "ugs distance" . . "land use" . . "sports" . . "medicine" . . "city" . . "pandemic" . . "case study" . . "territory" . . "exercise" . . "motivation" . . "country" . . "Pol. 2021" . . "Ugolini" . . "visitor of ugs" . . "feeling of deprivation" . . "feelings of deprivation" . . "survey" . . "visitation" . . "lockdown" . . "loss" . . "study" . . "total" . . "missing ugs" . . "Italian case study" . . "related feelings of deprivation" . . "respondent" . . "visitor" . . "feeling" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . "5410"^^ . "https://api.rohub.org/api/ros/affd2ec0-acae-4476-b51c-47c23ec3c73b/crate/download/" . . "2021-12-10 09:59:56.002024+00:00" . "2025-03-05 02:47:03.164025+00:00" . "2021-12-10 09:59:56.002024+00:00" . "This study investigated perceptions and behavioral patterns related to urban green space (UGS) in Italian cities, during the period of national lockdown imposed due to the outbreak of SARS-CoV-2 in the spring of 2020. A survey was used to examine the responses of population groups in different municipal areas, comparing those in government-defined ?red zones?, mostly in the northern regions of the country, with ?non-red zones? in the rest of the country, where the rate of infection was much lower. A total of 2100 respondents participated in the survey. The majority of respondents declared themselves to be habitual users of UGS, especially of parks or green areas outside the town ? mainly visiting for relaxation and physical exercise, but also for observing nature. In the northern regions people more commonly reported the adoption of sustainable practices, in terms of the utilization of tools for green mobility. During the lockdown, habits changed significantly: only one third of respondents reported visiting UGS, with frequent visits made mainly for the purpose of walking the dog. Other motivations included the need for relaxing, mostly in the red zones, and for physical exercise in non-red zones. The reduction in travel to urban parks was accompanied by increased visitation of gardens and other green spaces in close proximity, as social distancing and other regulations imposed restrictions on movement. In all regions, respondents who could not physically access UGS expressed a feeling of deprivation which was exacerbated by living in towns located in red zones, being a usual visitor of UGS and having no green view from the window. The extent to which these visitors missed UGS depended on the frequency of visitation before the pandemic and the UGS distance, as well as the type of previous activity. In fact, those activities that were most common before the pandemic were missed the most, reinforcing the importance of green areas for social gathering, sports, and observing nature ? but simply ?spending time outdoors? was also mentioned, even by those who visited UGS during the lockdown, as the time outdoors was not enough or not fully enjoyed. The feeling of missing UGS was only partially alleviated by the green view from the window ? only a more open view to a natural landscape or adaptation to a view with little greenery reduced such feeling." . "application/ld+json" . . "https://w3id.org/ro-id/affd2ec0-acae-4476-b51c-47c23ec3c73b" . . "Usage of urban green space and related feelings of deprivation during the COVID-19 lockdown: Lessons learned from an Italian case study" . "MANUAL" . . . . . . "Foglini, Federica. \"Usage of urban green space and related feelings of deprivation during the COVID-19 lockdown: Lessons learned from an Italian case study.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/affd2ec0-acae-4476-b51c-47c23ec3c73b." . . "221"^^ . "https://api.rohub.org/api/resources/85dc7cc6-07ba-43ff-ab97-50080d3c7eec/download/" . . "2021-12-10 09:59:58.851804+00:00" . "2021-12-10 09:59:58.853622+00:00" . "This study investigated perceptions and behavioral patterns related to urban green space (UGS) in Italian cities, during the period of national lockdown imposed due to the outbreak of SARS-CoV-2 in the spring of 2020. A survey was used to examine the responses of population groups in different municipal areas, comparing those in government-defined ?red zones?, mostly in the northern regions of the country, with ?non-red zones? in the rest of the country, where the rate of infection was much lower. A total of 2100 respondents participated in the survey. The majority of respondents declared themselves to be habitual users of UGS, especially of parks or green areas outside the town ? mainly visiting for relaxation and physical exercise, but also for observing nature. In the northern regions people more commonly reported the adoption of sustainable practices, in terms of the utilization of tools for green mobility. During the lockdown, habits changed significantly: only one third of respondents reported visiting UGS, with frequent visits made mainly for the purpose of walking the dog. Other motivations included the need for relaxing, mostly in the red zones, and for physical exercise in non-red zones. The reduction in travel to urban parks was accompanied by increased visitation of gardens and other green spaces in close proximity, as social distancing and other regulations imposed restrictions on movement. In all regions, respondents who could not physically access UGS expressed a feeling of deprivation which was exacerbated by living in towns located in red zones, being a usual visitor of UGS and having no green view from the window. The extent to which these visitors missed UGS depended on the frequency of visitation before the pandemic and the UGS distance, as well as the type of previous activity. In fact, those activities that were most common before the pandemic were missed the most, reinforcing the importance of green areas for social gathering, sports, and observing nature ? but simply ?spending time outdoors? was also mentioned, even by those who visited UGS during the lockdown, as the time outdoors was not enough or not fully enjoyed. The feeling of missing UGS was only partially alleviated by the green view from the window ? only a more open view to a natural landscape or adaptation to a view with little greenery reduced such feeling." . "text/plain" . . "Usage of urban green space and related feelings of deprivation during the COVID-19 lockdown: Lessons learned from an Italian case study" . "2021-12-10 09:59:58.851804+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:43:49.192+01:00"^^ . . . . "Usage of urban green space and related feelings of deprivation during the COVID-19 lockdown: Lessons learned from an Italian case study" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "LzUB5E8av4PVgWxQIRUHqNX2VAhdyT5rEpzQTSE+/ieOKez7+taAXmF/IreCMj0mqKaPG2ZSjtv52+1owpNgn5gYYGmAB2oS45gNhE+mRQDgipij/WfivsK6RNWv1IeD70jFpSjavJH5kfff8XsUKl0HDTfj0A8nziVtaecQMRirmedD2n4Gm3yFp4Dm72Qy6fUtBN/IeUwd/8Kda2S3GEsArZaYc73OxfEWXeTv7Or+ZgZen3UPWIY4/aIgzXkkE8hEiZqx9bBkx+/WLwA7DY+lz8nGm+osvURkKz+jistRykc9SKMWyjvpgMUCHIdUvWfC3LmyorISU5PzOU4rTQ==" . . . . . . . "" . "Information science" . . "" . "Social sciences" . . . "contact-tracing app" . "Andrienko" . . . "Inf. Technol." . "Comande" . . . "avoiding location tracking" . "Journal of geophysical research. Biogeosciences" . . . "location data" . . "medicine" . . "technology" . . "personal data collection" . . "dynamics" . . "application software" . . "control to individual citizen" . . "chain drive" . . "store vision" . . "help COVID-19 containment" . . "ethics Inf. Technol." . . "collection" . . "tracking" . . "containment" . . "privacy" . . "Lehmann" . . "van den Hoven" . . "tracing" . . "personal data" . . "information" . . "rebirth" . . "citizen" . . "detection" . . "locating" . . "Hoven" . . "Nanni" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . . "6571"^^ . "https://api.rohub.org/api/ros/aab8e785-b624-46b2-8686-e3ae2e4c477f/crate/download/" . . "2021-12-10 10:00:02.683249+00:00" . "2025-03-05 00:59:13.131445+00:00" . "2021-12-10 10:00:02.683249+00:00" . "The rapid dynamics of COVID-19 calls for quick and effective tracking of virus transmission chains and early detection of outbreaks, especially in the phase 2 of the pandemic, when lockdown and other restriction measures are progressively withdrawn, in order to avoid or minimize contagion resurgence. For this purpose, contact-tracing apps are being proposed for large scale adoption by many countries. A centralized approach, where data sensed by the app are all sent to a nation-wide server, raises concerns about citizens' privacy and needlessly strong digital surveillance, thus alerting us to the need to minimize personal data collection and avoiding location tracking. We advocate the conceptual advantage of a decentralized approach, where both contact and location data are collected exclusively in individual citizens' personal data stores, to be shared separately and selectively (e.g., with a backend system, but possibly also with other citizens), voluntarily, only when the citizen has tested positive for COVID-19, and with a privacy preserving level of granularity. This approach better protects the personal sphere of citizens and affords multiple benefits: it allows for detailed information gathering for infected people in a privacy-preserving fashion; and, in turn this enables both contact tracing, and, the early detection of outbreak hotspots on more finely-granulated geographic scale. The decentralized approach is also scalable to large populations, in that only the data of positive patients need be handled at a central level. Our recommendation is two-fold. First to extend existing decentralized architectures with a light touch, in order to manage the collection of location data locally on the device, and allow the user to share spatio-temporal aggregates-if and when they want and for specific aims-with health authorities, for instance. Second, we favour a longer-term pursuit of realizing a Personal Data Store vision, giving users the opportunity to contribute to collective good in the measure they want, enhancing self-awareness, and cultivating collective efforts for rebuilding society." . "application/ld+json" . . "https://w3id.org/ro-id/aab8e785-b624-46b2-8686-e3ae2e4c477f" . . "Give more data, awareness and control to individual citizens, and they will help COVID-19 containment" . "MANUAL" . . . . . . "Foglini, Federica. \"Give more data, awareness and control to individual citizens, and they will help COVID-19 containment.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/aab8e785-b624-46b2-8686-e3ae2e4c477f." . . "630"^^ . "https://api.rohub.org/api/resources/b85e8888-e545-4ae3-b7c9-d8841539f4b4/download/" . . "2021-12-10 10:00:06.346850+00:00" . "2021-12-10 10:00:06.348041+00:00" . "The rapid dynamics of COVID-19 calls for quick and effective tracking of virus transmission chains and early detection of outbreaks, especially in the phase 2 of the pandemic, when lockdown and other restriction measures are progressively withdrawn, in order to avoid or minimize contagion resurgence. For this purpose, contact-tracing apps are being proposed for large scale adoption by many countries. A centralized approach, where data sensed by the app are all sent to a nation-wide server, raises concerns about citizens' privacy and needlessly strong digital surveillance, thus alerting us to the need to minimize personal data collection and avoiding location tracking. We advocate the conceptual advantage of a decentralized approach, where both contact and location data are collected exclusively in individual citizens' personal data stores, to be shared separately and selectively (e.g., with a backend system, but possibly also with other citizens), voluntarily, only when the citizen has tested positive for COVID-19, and with a privacy preserving level of granularity. This approach better protects the personal sphere of citizens and affords multiple benefits: it allows for detailed information gathering for infected people in a privacy-preserving fashion; and, in turn this enables both contact tracing, and, the early detection of outbreak hotspots on more finely-granulated geographic scale. The decentralized approach is also scalable to large populations, in that only the data of positive patients need be handled at a central level. Our recommendation is two-fold. First to extend existing decentralized architectures with a light touch, in order to manage the collection of location data locally on the device, and allow the user to share spatio-temporal aggregates-if and when they want and for specific aims-with health authorities, for instance. Second, we favour a longer-term pursuit of realizing a Personal Data Store vision, giving users the opportunity to contribute to collective good in the measure they want, enhancing self-awareness, and cultivating collective efforts for rebuilding society." . "text/plain" . . "Give more data, awareness and control to individual citizens, and they will help COVID-19 containment" . "2021-12-10 10:00:06.346850+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:43:47.831+01:00"^^ . . . . "Give more data, awareness and control to individual citizens, and they will help COVID-19 containment" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "wmBsD3xFwpRENrPwSXQRHCsEYmDmkL1Zr+Z2+cxg9I56URE9UChNNtYLTPwhlovcox2rpFN6wpacrOi5Ye8DDZ8xxL0MEKa9QKzHtE7XTixLnpoGtrW0o34GxsVMNJ02Mjbho50I0N+uu8hBvAZQBm2laR3Zt/H+t1lKiVtpAu39iwsjwButJgzaGiRjBNdoPEGP6UiTcYXnEtDg8urs3B/tfCCp6HGIflZPOPOXKOyr+q7ARi0TOldQy7nmVQ+j4G1TbDMG9A6TaSJb6L71bPX4RmxH3u+1Ufrv6EBO8UPYAq1mkxexhwBC45CFAJvhAWzzSTOHXlFznGERLFyEvg==" . . . . . . . "" . "Mathematics" . . "" . "Biology" . . . "SIR model" . . "epidemic spreading" . . "infection lockdown" . . "medicine" . . "health" . . "epidemic" . . "infection" . . "mathematical model" . . "applications to COVID-19 infection" . . "forecast" . . "Zanella" . . "mathematical modeling" . . "spread" . . "health system" . . "spreading evolution" . . "lockdown" . . "application" . . "social contact" . . "statistical analysis" . . "modelling" . . "information" . . "contact" . . "infection" . . "Math. Biosci" . . "Italy" . . "Pavia" . . "scattering" . "Health Protection Agency" . . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . . "4571"^^ . "https://api.rohub.org/api/ros/b42df712-bd99-44f6-822c-ef4e3825ca4a/crate/download/" . . "2021-12-10 10:00:09.455335+00:00" . "2025-03-05 01:19:09.443199+00:00" . "2021-12-10 10:00:09.455335+00:00" . "Lockdown and social distancing, as well as testing and contact tracing, are the main measures assumed by the governments to control and limit the spread of COVID-19 infection. In reason of that, special attention was recently paid by the scientific community to the mathematical modeling of infection spreading by including in classical models the effects of the distribution of contacts between individuals. Among other approaches, the coupling of the classical SIR model with a statistical study of the distribution of social contacts among the population, led some of the present authors to build a Social SIR model, able to accurately follow the effect of the decrease in contacts resulting from the lockdown measures adopted in various European countries in the first phase of the epidemic. The Social SIR has been recently tested and improved through a fruitful collaboration with the Health Protection Agency (ATS) of the province of Pavia (Italy), that made it possible to have at disposal all the relevant data relative to the spreading of COVID-19 infection in the province (half a million of people), starting from February 2020. The statistical analysis of the data was relevant to fit at best the parameters of the mathematical model, and to make short-term predictions of the spreading evolution in order to optimize the response of the local health system." . "application/ld+json" . . "https://w3id.org/ro-id/b42df712-bd99-44f6-822c-ef4e3825ca4a" . . "Social contacts, epidemic spreading and health system. Mathematical modeling and applications to COVID-19 infection" . "MANUAL" . . . . . . "Foglini, Federica. \"Social contacts, epidemic spreading and health system. Mathematical modeling and applications to COVID-19 infection.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/b42df712-bd99-44f6-822c-ef4e3825ca4a." . . "282"^^ . "https://api.rohub.org/api/resources/c6bd1af1-12e6-4742-89f6-684f3c31447e/download/" . . "2021-12-10 10:00:12.746743+00:00" . "2021-12-10 10:00:12.748168+00:00" . "Lockdown and social distancing, as well as testing and contact tracing, are the main measures assumed by the governments to control and limit the spread of COVID-19 infection. In reason of that, special attention was recently paid by the scientific community to the mathematical modeling of infection spreading by including in classical models the effects of the distribution of contacts between individuals. Among other approaches, the coupling of the classical SIR model with a statistical study of the distribution of social contacts among the population, led some of the present authors to build a Social SIR model, able to accurately follow the effect of the decrease in contacts resulting from the lockdown measures adopted in various European countries in the first phase of the epidemic. The Social SIR has been recently tested and improved through a fruitful collaboration with the Health Protection Agency (ATS) of the province of Pavia (Italy), that made it possible to have at disposal all the relevant data relative to the spreading of COVID-19 infection in the province (half a million of people), starting from February 2020. The statistical analysis of the data was relevant to fit at best the parameters of the mathematical model, and to make short-term predictions of the spreading evolution in order to optimize the response of the local health system." . "text/plain" . . "Social contacts, epidemic spreading and health system. Mathematical modeling and applications to COVID-19 infection" . "2021-12-10 10:00:12.746743+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:43:46.470+01:00"^^ . . . . "Social contacts, epidemic spreading and health system. Mathematical modeling and applications to COVID-19 infection" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "pIJtmchxw1mLwhiB+TDeh6YYojOyYR802yzdL9BWeezq1jIn7yl8h0FUcKXumJ9vyfZmAfcM960dnEnV0qhn6mvOYV8+7GqMxfCmSb9y+BcMDb3LetIhJzrY19J+Gle/Sq/eygG4tKiIz7BknCsGlrd9bH+TJ6OdPFxoG8VluIQOKow03fJV7xHev1g7g6q34aPNGgCtlv4jjmOhNoC1pe88uMoJXJAWBEgiw1vSs7V4P0tEU91j81qz/jffq4Tm2Wfg6PfEpRoGB825l/JTsvtYX/z1/k2HKehZMchWqn6e+aOuZjjnzRN61g5mw9Dg5N/2uNM6hfX7mw2bXfq1jw==" . . . . . . . "" . "Medical science" . . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "Students" . . "Education/Teaching and learning/Students" . "symptom" . . "28.014616321559075" . "23.0" . "service-account-enrichment" . . . . "6017"^^ . "https://api.rohub.org/api/ros/052b3693-fd97-4b09-b853-d7db9701d81e/crate/download/" . . "2021-12-10 10:00:16.155139+00:00" . "2025-03-05 00:46:22.782245+00:00" . "2021-12-10 10:00:16.155139+00:00" . "The first case of infection by SARS-CoV-2 (i.e., COVID-19) was officially recorded by the Italian National Health Service on 21 February 2020. Respiratory tract manifestations are the most common symptoms, such as gastrointestinal symptoms (GISs) like nausea or sickness, diarrhea, and anorexia, and psychological effects may be reported in affected individuals. However, similar symptoms may be observed in healthy people as a consequence of an anxiety state. Methods: We analyzed GISs and anxiety state during the COVID-19 lockdown period; from 9 March 2020 to 4 May 2020. A web-based survey consisting of 131 items was administered to 354 students affiliated with the School of Medicine of the University Magna Graecia of Catanzaro; Italy. A set of statistical analyses was performed to analyze the relationships among the answers to assess a correlation between the topics of interest. Results: The statistical analysis showed that 54.0% of interviewed reported at least one GISs, 36.16% of which reported a positive history for familial GISs (FGISs). The 354 subjects included in our cohort may be stratified as follows: 25.99% GISs and FGISs, 27.97% GISs and no-FGISs, 10.17% no-GISs and FGISs, 35.87% no-GISs and no-FGISs. Results indicated an anxiety state for 48.9% of respondents, of which 64.74% also presented GISs. In addition, considered dietary habits, we detect the increased consumption of hypercaloric food, sweetened drinks, and alcoholic beverages. Conclusions: The increase of GISs during the lockdown period in a population of medical students, may be correlated to both dietary habits and anxiety state due to a concern for one's health." . "application/ld+json" . . "https://w3id.org/ro-id/052b3693-fd97-4b09-b853-d7db9701d81e" . . "Anxiety and Gastrointestinal Symptoms Related to COVID-19 during Italian Lockdown" . "MANUAL" . . . . . . "https://w3id.org/ro-id/0dd45ca3-1797-4c8f-b3fa-ca0116072406" . "https://w3id.org/ro-id/7116c03c-f8d0-47df-8134-d1ef265758c8" . "https://w3id.org/ro-id/b52decfb-6a43-4972-9f67-6d568258c7e4" . "https://w3id.org/ro-id/2c3cb1ac-bf9d-4004-ac1d-5029c73f7c69" . "https://w3id.org/ro-id/6e9dcb42-2c43-4150-a8b6-11c2dc99bd3d" . "https://w3id.org/ro-id/f702b2b8-f31e-4bd7-b89b-1fbd8fcc807d" . "https://w3id.org/ro-id/03e33c63-27b8-4080-9786-bfd5b99bb148" . "https://w3id.org/ro-id/285dc4bb-3177-4533-9f25-7718bff11fd6" . "https://w3id.org/ro-id/2b04bc8b-80eb-40e6-9191-755cac3c3ae4" . "https://w3id.org/ro-id/2b2a73d2-a759-4153-be68-f1f5f8b2e9b1" . "https://w3id.org/ro-id/334cbdd8-1283-4c2e-977d-1080395f5c25" . "https://w3id.org/ro-id/5298a7b9-1be1-470d-bc44-4257b5946204" . "https://w3id.org/ro-id/85d6a9f9-9aef-480c-8ad9-f93a52adbfb1" . "https://w3id.org/ro-id/b14cb911-bdf2-4624-812a-b6dc5ecd9d9c" . "https://w3id.org/ro-id/b5ab6e0d-d517-40f3-85ef-1eee6b2d6b65" . "https://w3id.org/ro-id/beabb81f-8c70-4bf6-80c0-9bb364d238ad" . "https://w3id.org/ro-id/d9a39101-50a6-4c32-94cc-09c41636d38e" . "https://w3id.org/ro-id/edf3193b-0822-4f53-9745-04a061eb55ed" . "https://w3id.org/ro-id/9d0cb60a-435e-4d27-91c1-e02aaa1baec2" . "https://w3id.org/ro-id/fd783551-b810-4194-b5ec-b53efea4b082" . "https://w3id.org/ro-id/02071902-1412-492c-819b-c25ca99ba62e" . "https://w3id.org/ro-id/3b94bf59-bf17-4c9a-b4a5-32daac5b4fc6" . "https://w3id.org/ro-id/437c1717-7b5e-4223-8e27-8815721e4bdd" . "https://w3id.org/ro-id/60654b10-9e25-4896-9047-4ce687be898e" . "https://w3id.org/ro-id/aef56b88-c528-4b05-aa67-9ad67f226b8e" . "https://w3id.org/ro-id/bc5faa75-1c56-4971-8571-60611bf27d2c" . "https://w3id.org/ro-id/c30be2f6-95bc-4e14-8d44-adb9f0c8bd9b" . "https://w3id.org/ro-id/0c964fed-50f8-4878-930b-dc81f527c78a" . "https://w3id.org/ro-id/16eece8f-854e-4a73-9a7b-2cd5f5e3dae8" . "https://w3id.org/ro-id/17169dd5-fba7-4014-994c-015d1e366e28" . "https://w3id.org/ro-id/49495e93-c983-49bc-81cb-bb191a409c37" . "https://w3id.org/ro-id/4b223565-22a7-462a-8e09-3e0dc9463da1" . "https://w3id.org/ro-id/63ab0b0f-f5b7-4272-992d-f366c3946d0d" . "https://w3id.org/ro-id/74f5a107-4138-42d7-aa34-df2199ec5b3a" . "https://w3id.org/ro-id/adbeb591-4465-4469-85c1-b9b72748660a" . "https://w3id.org/ro-id/b40663ab-4f5b-42a5-8968-22a1ca6e73d8" . "https://w3id.org/ro-id/bb08402a-6773-448d-8215-1f87591d85dd" . "https://w3id.org/ro-id/d89ceb3d-bead-42ff-a757-9e6255b5d490" . "https://w3id.org/ro-id/f43518f4-7a31-40c3-b624-0da6b7d76dee" . "https://w3id.org/ro-id/549e442a-e3b0-4d53-9e05-0770fafb728b" . "https://w3id.org/ro-id/ca6559ce-2b7a-4e51-8157-2d6dd27e5477" . "https://w3id.org/ro-id/0f9eab0d-1461-4f98-8bd1-3fc84292ae54" . "https://w3id.org/ro-id/3dd6120f-234e-4ad1-a29f-a9f93ee26da7" . "https://w3id.org/ro-id/3fcaf1ca-67d5-4d55-acce-8e6298363a37" . "https://w3id.org/ro-id/49988441-1f7c-4ed2-ae17-ebef5154a0c1" . "https://w3id.org/ro-id/4c438556-3369-4d42-8e40-7cb8936e64c8" . "https://w3id.org/ro-id/5d0dcb27-0deb-4902-9835-ccb372de5eb3" . "https://w3id.org/ro-id/c991cca7-b191-41b4-86d6-b5550e499786" . "https://w3id.org/ro-id/da1261e3-d35a-451f-985b-e8032b02e8de" . "https://w3id.org/ro-id/e11ed944-6983-46a8-9eba-0d43e7b9e6af" . "https://w3id.org/ro-id/26e66e3c-f36f-42e5-ac9a-5db7254aebd4" . "https://w3id.org/ro-id/60bad0d0-a8a0-4f9f-b51e-dff9f504b113" . "https://w3id.org/ro-id/8646893a-dc7c-4810-8115-906a66da5fe7" . "https://w3id.org/ro-id/9350dfed-6064-4f52-a677-f50638a3fba0" . "https://w3id.org/ro-id/94a4979f-6bc1-4bab-8722-da662dcbb139" . "https://w3id.org/ro-id/c2c2f8b8-a840-4f70-9e5a-aa38c2bb0535" . "https://w3id.org/ro-id/3b586a65-c442-4f6b-af81-79d6d1ac20c7" . "https://w3id.org/ro-id/e6a20e36-75d6-4fcc-aa34-6d02b7dcb022" . "Foglini, Federica. \"Anxiety and Gastrointestinal Symptoms Related to COVID-19 during Italian Lockdown.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/052b3693-fd97-4b09-b853-d7db9701d81e." . . "271"^^ . "https://api.rohub.org/api/resources/e283b8b5-21a7-46c9-9848-e3ca02f22209/download/" . . "2021-12-10 10:00:18.644677+00:00" . "2021-12-10 10:00:18.645775+00:00" . "The first case of infection by SARS-CoV-2 (i.e., COVID-19) was officially recorded by the Italian National Health Service on 21 February 2020. Respiratory tract manifestations are the most common symptoms, such as gastrointestinal symptoms (GISs) like nausea or sickness, diarrhea, and anorexia, and psychological effects may be reported in affected individuals. However, similar symptoms may be observed in healthy people as a consequence of an anxiety state. Methods: We analyzed GISs and anxiety state during the COVID-19 lockdown period; from 9 March 2020 to 4 May 2020. A web-based survey consisting of 131 items was administered to 354 students affiliated with the School of Medicine of the University Magna Graecia of Catanzaro; Italy. A set of statistical analyses was performed to analyze the relationships among the answers to assess a correlation between the topics of interest. Results: The statistical analysis showed that 54.0% of interviewed reported at least one GISs, 36.16% of which reported a positive history for familial GISs (FGISs). The 354 subjects included in our cohort may be stratified as follows: 25.99% GISs and FGISs, 27.97% GISs and no-FGISs, 10.17% no-GISs and FGISs, 35.87% no-GISs and no-FGISs. Results indicated an anxiety state for 48.9% of respondents, of which 64.74% also presented GISs. In addition, considered dietary habits, we detect the increased consumption of hypercaloric food, sweetened drinks, and alcoholic beverages. Conclusions: The increase of GISs during the lockdown period in a population of medical students, may be correlated to both dietary habits and anxiety state due to a concern for one's health." . "text/plain" . . "Anxiety and Gastrointestinal Symptoms Related to COVID-19 during Italian Lockdown" . "2021-12-10 10:00:18.644677+00:00" . . . . . . "anxiety state" . . "10.72695035460993" . "12.1" . "medicine" . . "51.492537313432834" . "13.8" . "similar symptom" . . "4.389173372348208" . "6.0" . "J. Clin" . . "6.6489361702127665" . "7.5" . "F. Anxiety" . . "10.815602836879433" . "12.2" . "However, similar symptoms may be observed in healthy people as a consequence of an anxiety state." . . "9.064539521392312" . "12.5" . "statistical analysis" . . "4.628501827040195" . "3.8" . "ingestion" . . "3.89768574908648" . "3.2" . "result" . . "13.885505481120585" . "11.4" . "Catanzaro" . . "https://www.wikidata.org/wiki/Q3883" . "manifestation" . . "4.141291108404385" . "3.4" . "from Mar-9-2020 to May-4-2020" . . "Eating disorder" . . "Health/Diseases and conditions/Mental and behavioural disorder/Eating disorder" . "gastrointestinal symptom" . . "57.79078273591807" . "79.0" . "volume 10" . . "6.2179956108266285" . "8.5" . "Music" . . "Arts, culture and entertainment/Arts and entertainment/Music" . "symptom" . . "19.592198581560286" . "22.1" . "respiratory tract manifestation" . . "8.851499634235553" . "12.1" . "gastrointestinal symptom" . . "6.028368794326242" . "6.8" . "Italian National Health Service" . . "6.071689831748356" . "8.3" . "anxiety state" . . "16.56516443361754" . "13.6" . "life sciences (general)" . . "100.0" . "1.6781120300292969" . "relate to covid 19" . . "2.7798098024871987" . "3.8" . "Customs and tradition" . . "Arts, culture and entertainment/Culture/Customs and tradition" . "(J. Clin." . . "6.453952139231327" . "8.9" . "Boffoli" . . "6.471631205673759" . "7.3" . "Mediterranean Sea" . . "https://www.wikidata.org/wiki/Q4918" . "linguistics" . . "41.7910447761194" . "11.2" . "no-FGISs" . . "4.432624113475177" . "5.0" . "airway" . . "5.237515225334958" . "4.3" . "Respiratory tract manifestations are the most common symptoms, such as gastrointestinal symptoms (GISs) like nausea or sickness, diarrhea, and anorexia, and psychological effects may be reported in affected individuals." . . "13.12545322697607" . "18.1" . "Med." . . "5.003625815808557" . "6.9" . "Abenavoli, L; Cinaglia, P; Lombardo, G; Boffoli, E; Scida, M; Procopio, AC; Larussa, T; Boccuto, L; Zanza, C; Longhitano, Y; Fagoonee, S; Luzza, F. Anxiety and Gastrointestinal Symptoms Related to COVID-19 during Italian Lockdown." . . "57.36040609137055" . "79.1" . "earth sciences" . . "100.0" . "1.7650614976882935" . "respiratory tract" . . "3.368794326241135" . "3.8" . "Health" . . "Health" . "habit" . . "3.89768574908648" . "3.2" . "covid 19" . . "14.273049645390074" . "16.1" . "psychology" . . "6.716417910447761" . "1.8" . "disease" . . "3.89768574908648" . "3.2" . "FGISs" . . "4.964539007092199" . "5.6" . "Musical instrument" . . "Arts, culture and entertainment/Arts and entertainment/Music/Musical instrument" . "Mediterranean Sea" . . "7.673568818514008" . "6.3" . "Results indicated an anxiety state for 48.9% of respondents, of which 64.74% also presented GISs." . . "8.992023205221175" . "12.4" . "Diseases and conditions" . . "Health/Diseases and conditions" . "consumption of hypercaloric food" . . "3.5113386978785663" . "4.8" . "life sciences" . . "100.0" . "1.6781120300292969" . "Procopio" . . "6.205673758865248" . "7.0" . "medical student" . . "4.019488428745433" . "3.3" . "anxiety state due to a concern" . . "4.169714703730798" . "5.7" . "issue 6" . . "6.2179956108266285" . "8.5" . "on Feb-21-2020" . . "issue" . . "4.141291108404385" . "3.4" . "Journal of geophysical research. Biogeosciences" . . "6.471631205673759" . "7.3" . "Italy" . . "https://www.wikidata.org/wiki/Q38" . "geology" . . "100.0" . "1.7650614976882935" . "service-account-generation-service" . . . "2026-03-03T16:43:45.039+01:00"^^ . . . . "Anxiety and Gastrointestinal Symptoms Related to COVID-19 during Italian Lockdown" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "H+9ftMV195RJuWrE6zifN0sGLLEt5Ejih8l22MBPGwjnRpWWBTqSgEJcGw5IhU9WfSKhYuQVlS+u1Z1kbg+mRDswLOah97Jv1xasnSnELC0SEFOo5z2WH7iA0jZuFHQQuhuBu4Bw1PrcX+NFD5tbk4epwQVUqL0gWHo2FAnMJhScEsp6GZedT+Ozl9pVD34MK4WDQOQDdhWFxjLeWnZPFBIKDtE9byGYnMCtm3p4mHzLpWgg4iPe3iUYTSQafknpA5v6sxI+S1tAAacBq67VSUNke2OFWxLRNJyKmwFaihylA3YPkZy7V0gLMJcJF3zEScN8Kd7ynq1/pEVXi1MwWA==" . . . . . . . "" . "Mathematics" . . . "volume 11" . . "propagation of the infection" . . "evolution of an epidemic" . . "sci rep 2021" . . "lockdown strategy" . . "epidemic model" . . "medicine" . . "mathematics" . . "book" . . "development" . . "epidemic" . . "angstrom" . . "strategy" . . "vaccination" . . "policy" . . "events" . . "issue 1" . . "epidemic" . . "multiple lockdown" . . "mathematics of multiple lockdown" . . "vaccination policy" . . "lockdown" . . "sci newsgroup" . . "impact" . . "infection" . . "Scala" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . "3581"^^ . "https://api.rohub.org/api/ros/a9bf0ba2-1a84-467f-b2f8-d0ddd2d38ac1/crate/download/" . . "2021-12-10 10:00:21.666929+00:00" . "2025-03-05 02:47:40.494268+00:00" . "2021-12-10 10:00:21.666929+00:00" . "While vaccination is the optimal response to an epidemic, recent events have obliged us to explore new strategies for containing worldwide epidemics, like lockdown strategies, where the contacts among the population are strongly reduced in order to slow down the propagation of the infection. By analyzing a classical epidemic model, we explore the impact of lockdown strategies on the evolution of an epidemic. We show that repeated lockdowns have a beneficial effect, reducing the final size of the infection, and that they represent a possible support strategy to vaccination policies." . "application/ld+json" . . "https://w3id.org/ro-id/a9bf0ba2-1a84-467f-b2f8-d0ddd2d38ac1" . . "The mathematics of multiple lockdowns" . "MANUAL" . . . . . . "Foglini, Federica. \"The mathematics of multiple lockdowns.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/a9bf0ba2-1a84-467f-b2f8-d0ddd2d38ac1." . . "83"^^ . "https://api.rohub.org/api/resources/4d287a73-7ec7-477c-b7e4-3aa8f729e319/download/" . . "2021-12-10 10:00:25.747593+00:00" . "2021-12-10 10:00:25.748657+00:00" . "While vaccination is the optimal response to an epidemic, recent events have obliged us to explore new strategies for containing worldwide epidemics, like lockdown strategies, where the contacts among the population are strongly reduced in order to slow down the propagation of the infection. By analyzing a classical epidemic model, we explore the impact of lockdown strategies on the evolution of an epidemic. We show that repeated lockdowns have a beneficial effect, reducing the final size of the infection, and that they represent a possible support strategy to vaccination policies." . "text/plain" . . "The mathematics of multiple lockdowns" . "2021-12-10 10:00:25.747593+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:43:43.754+01:00"^^ . . . . "The mathematics of multiple lockdowns" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "loz1xP26dE3JJ5D4Afsf5Q82fmb945i8PUWyr8dhFQD6At/oz3ZMlZ4mZ9EmzPRUSg2ymkL6qflHG+hwMUfoEVWGuchjJnHPQGEz2p8EWq1mlGYD929NFXLO2SxhT+mFuyvuvOuPXBzp6fdUYo25q5Em9dXKunt5vLz1u7GMGvSX5JGOYz2TgFygfJ5rkSxF60yQ6eZ8JkC7SGq/1VloD/rmFcQsWk2ilg/aCpcVsXpdgu39hBeqp11qBxaRDhz4Nl/yaT9bcV9ihvo3LnLWLF1kKIiNPjWL/vAzU9Owyt+4oiKNv/ZYTyKRB1vDcQTXYRRvdPBauYDi/7EWRLSxrg==" . . . . . . . "" . "Biology" . . . "cytology" . "Rizzari" . . "TMEM16F" . . "Journal of geophysical research. Biogeosciences" . . . "anatomy" . . "medicine" . . "americium" . . "cell" . . "lung" . . "protein" . . "disease" . . "drug" . . "cell membrane" . . "ion channel" . . "Congressional Medal of Honor" . . "thrombosis" . . "pathogenesis" . . "inhibit TMEM16 protein" . . "niclosamide" . . "syncytium" . . "Braga" . . "Barclay" . . "spike protein" . . "microscopy" . . "syncytia covid 19" . . "pharmacology" . . "spike-induced syncytium" . . "lung thrombosis" . . "syncytia result" . . "Schneider" . . "drug niclosamide" . . "Braga" . . "block SARS-CoV-2 spike-induced syncytium" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . "5944"^^ . "https://api.rohub.org/api/ros/53cb4ba4-7529-4924-9e30-46d4bf7d55f7/crate/download/" . . "2021-12-10 10:05:51.703731+00:00" . "2025-03-05 00:47:51.014292+00:00" . "2021-12-10 10:05:51.703731+00:00" . "COVID-19 is a disease with unique characteristics that include lung thrombosis(1), frequent diarrhoea(2), abnormal activation of the inflammatory response(3) and rapid deterioration of lung function consistent with alveolar oedema(4). The pathological substrate for these findings remains unknown. Here we show that the lungs of patients with COVID-19 contain infected pneumocytes with abnormal morphology and frequent multinucleation. The generation of these syncytia results from activation of the SARS-CoV-2 spike protein at the cell plasma membrane level. On the basis of these observations, we performed two high-content microscopy-based screenings with more than 3,000 approved drugs to search for inhibitors of spike-driven syncytia. We converged on the identification of 83 drugs that inhibited spike-mediated cell fusion, several of which belonged to defined pharmacological classes. We focused our attention on effective drugs that also protected against virus replication and associated cytopathicity. One of the most effective molecules was the antihelminthic drug niclosamide, which markedly blunted calcium oscillations and membrane conductance in spike-expressing cells by suppressing the activity of TMEM16F (also known as anoctamin 6), a calcium-activated ion channel and scramblase that is responsible for exposure of phosphatidylserine on the cell surface. These findings suggest a potential mechanism for COVID-19 disease pathogenesis and support the repurposing of niclosamide for therapy." . "application/ld+json" . . "https://w3id.org/ro-id/53cb4ba4-7529-4924-9e30-46d4bf7d55f7" . . "Drugs that inhibit TMEM16 proteins block SARS-CoV-2 spike-induced syncytia" . "MANUAL" . . . . . . "Foglini, Federica. \"Drugs that inhibit TMEM16 proteins block SARS-CoV-2 spike-induced syncytia.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/53cb4ba4-7529-4924-9e30-46d4bf7d55f7." . . "369"^^ . "https://api.rohub.org/api/resources/05b54af3-ce56-4474-9603-9d49e56e97c6/download/" . . "2021-12-10 10:05:55.162102+00:00" . "2021-12-10 10:05:55.163555+00:00" . "COVID-19 is a disease with unique characteristics that include lung thrombosis(1), frequent diarrhoea(2), abnormal activation of the inflammatory response(3) and rapid deterioration of lung function consistent with alveolar oedema(4). The pathological substrate for these findings remains unknown. Here we show that the lungs of patients with COVID-19 contain infected pneumocytes with abnormal morphology and frequent multinucleation. The generation of these syncytia results from activation of the SARS-CoV-2 spike protein at the cell plasma membrane level. On the basis of these observations, we performed two high-content microscopy-based screenings with more than 3,000 approved drugs to search for inhibitors of spike-driven syncytia. We converged on the identification of 83 drugs that inhibited spike-mediated cell fusion, several of which belonged to defined pharmacological classes. We focused our attention on effective drugs that also protected against virus replication and associated cytopathicity. One of the most effective molecules was the antihelminthic drug niclosamide, which markedly blunted calcium oscillations and membrane conductance in spike-expressing cells by suppressing the activity of TMEM16F (also known as anoctamin 6), a calcium-activated ion channel and scramblase that is responsible for exposure of phosphatidylserine on the cell surface. These findings suggest a potential mechanism for COVID-19 disease pathogenesis and support the repurposing of niclosamide for therapy." . "text/plain" . . "Drugs that inhibit TMEM16 proteins block SARS-CoV-2 spike-induced syncytia" . "2021-12-10 10:05:55.162102+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:43:42.417+01:00"^^ . . . . "Drugs that inhibit TMEM16 proteins block SARS-CoV-2 spike-induced syncytia" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "uV0B5MqhhSvLkdgOMLcDM3eFWo07YrdeOnYG/3KTvPKRoy+8KNXRIPOLif6DTsot7pbu97YI+N1kAHs5AuIlMXweKhvEUPOhEEHqTF6s/bcXB3SS1CH/19MHQCRAl5dR0zkUCsCRh0y4HfV7B1UGDo6dTPvySVgHLHVTJCtZVrLdu6Rw7T9Dz1g7n1/j8q8K3IOLmMgaN7GYQAe7+0P2nlM6+WTH6j9IcLBD7dszRjMYxlEh77ML/KwegVv8LH1nBthsmuMkSJ28ktwfNPzJotucaGOynNLlW4suT+XJEsbwzY5xClleH88G4xFoSBNPnB7R9ldF/7cxt+RrhUCgeA==" . . . . . . . "" . "Biology" . . . "biology" . . "reporter system" . . "Nat. Commun" . . "neuronal phenotype" . . "fluorescent reporter" . . "monogenic disease" . . "medicine" . . "photon" . . "gene" . . "cell" . . "disease" . . "epilepsy" . . "gram" . . "reporter" . . "neuron" . . "central nervous system" . . "phenotype" . . "mosaicism" . . "microscopy" . . "generation" . . "mosaic model" . . "mosaic" . . "genetics" . . "GM. modelling" . "Commun" . . . "genotype" . . "knockout mosaic" . . "genetic mosaicism" . . "inclusion" . . "disorder" . . "Trovato" . . "Landi" . . "modelling genetic mosaicism" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . "5271"^^ . "https://api.rohub.org/api/ros/9641a891-0c97-4a21-bcc5-3c0e7f974ede/crate/download/" . . "2021-12-10 10:05:58.607206+00:00" . "2025-03-05 00:56:54.503963+00:00" . "2021-12-10 10:05:58.607206+00:00" . "Genetic mosaicism, a condition in which an organ includes cells with different genotypes, is frequently present in monogenic diseases of the central nervous system caused by the random inactivation of the X-chromosome, in the case of X-linked pathologies, or by somatic mutations affecting a subset of neurons. The comprehension of the mechanisms of these diseases and of the cell-autonomous effects of specific mutations requires the generation of sparse mosaic models, in which the genotype of each neuron is univocally identified by the expression of a fluorescent protein in vivo. Here, we show a dual-color reporter system that, when expressed in a floxed mouse line for a target gene, leads to the creation of mosaics with tunable degree. We demonstrate the generation of a knockout mosaic of the autism/epilepsy related gene PTEN in which the genotype of each neuron is reliably identified, and the neuronal phenotype is accurately characterized by two-photon microscopy." . "application/ld+json" . . "https://w3id.org/ro-id/9641a891-0c97-4a21-bcc5-3c0e7f974ede" . . "Modelling genetic mosaicism of neurodevelopmental disorders in vivo by a Cre-amplifying fluorescent reporter" . "MANUAL" . . . . . . "Foglini, Federica. \"Modelling genetic mosaicism of neurodevelopmental disorders in vivo by a Cre-amplifying fluorescent reporter.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/9641a891-0c97-4a21-bcc5-3c0e7f974ede." . . "346"^^ . "https://api.rohub.org/api/resources/863f7285-2401-467b-9d3b-485498dc267d/download/" . . "2021-12-10 10:06:01.685172+00:00" . "2021-12-10 10:06:01.686020+00:00" . "Genetic mosaicism, a condition in which an organ includes cells with different genotypes, is frequently present in monogenic diseases of the central nervous system caused by the random inactivation of the X-chromosome, in the case of X-linked pathologies, or by somatic mutations affecting a subset of neurons. The comprehension of the mechanisms of these diseases and of the cell-autonomous effects of specific mutations requires the generation of sparse mosaic models, in which the genotype of each neuron is univocally identified by the expression of a fluorescent protein in vivo. Here, we show a dual-color reporter system that, when expressed in a floxed mouse line for a target gene, leads to the creation of mosaics with tunable degree. We demonstrate the generation of a knockout mosaic of the autism/epilepsy related gene PTEN in which the genotype of each neuron is reliably identified, and the neuronal phenotype is accurately characterized by two-photon microscopy." . "text/plain" . . "Modelling genetic mosaicism of neurodevelopmental disorders in vivo by a Cre-amplifying fluorescent reporter" . "2021-12-10 10:06:01.685172+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:43:41.058+01:00"^^ . . . . "Modelling genetic mosaicism of neurodevelopmental disorders in vivo by a Cre-amplifying fluorescent reporter" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "KjzSOf8ujnmksonL5S0apEj0oMq9oE/H7eFJ9bU3JWxCeorAV2IPmN73fxf0YACM3tzfk+/QNevgVnlPBjDSO6XBh6aDcAWYh9PH6BNhyVqDONo5G962AyJeiiaRFvzzjJ6pq2uW1vANrmTJ0O1zFUy4rSG8xXaSLEaCTAhXurtnNaenN3Xzme4of5Yt8ZS2VaMv3CW2V2euISwUqrelIzDeJpgPkzChJk5PnphY/zUV/GURAswL42LEa6KfYfGvpn7Wk1HeiUm9p29Dj3ZAa7V9mOTM/iMXLx0iV4MKwTLh9+MlZnHSJ5tSsBSRb6FE90ul0ncstRG4lG9AjIggsg==" . . . . . . . "" . "Mathematics" . . . "Lombardy" . "Journal of geophysical research. Biogeosciences" . . . "outbreak in Lombardy, Italy" . . "optimization problem" . . "medicine" . . "number" . . "disease" . . "epicenter" . . "symptom" . . "replica" . . "system" . . "approach" . . "China" . . "forecast the COVID-19 outbreak" . "Google Inc." . . . "approach Introduction Italy" . . "Lombardy" . . "simulator" . . "compartmental modelling" . . "novel coronavirus disease 2019" . . "optimisation" . . "estimate" . . "outbreak" . . "modelling" . . "numerical optimization approach" . "Toraldo" . . . "bell" . . "China" . . "Italy" . . "reproduction number R-0" . . "Russo" . . "reproduction number R-e" . . "optimization approach" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . "7330"^^ . "https://api.rohub.org/api/ros/bce36619-9ad0-4291-81e1-f1808b1a7afa/crate/download/" . . "2021-12-10 10:06:05.025294+00:00" . "2025-03-05 02:46:55.810297+00:00" . "2021-12-10 10:06:05.025294+00:00" . "Introduction Italy became the second epicenter of the novel coronavirus disease 2019 (COVID-19) pandemic after China, surpassing by far China's death toll. The disease swept through Lombardy, which remained in lockdown for about two months, starting from the 8th of March. As of that day, the isolation measures taken in Lombardy were extended to the entire country. Here, assuming that effectively there was one case zero that introduced the virus to the region, we provide estimates for: (a) the day-zero of the outbreak in Lombardy, Italy; (b) the actual number of asymptomatic infected cases in the total population until March 8; (c) the basic (R-0)and the effective reproduction number (R-e) based on the estimation of the actual number of infected cases. To demonstrate the efficiency of the model and approach, we also provide a tentative forecast two months ahead of time, i.e. until May 4, the date on which relaxation of the measures commenced, on the basis of the COVID-19 Community Mobility Reports released by Google on March 29. Methods To deal with the uncertainty in the number of the actual asymptomatic infected cases in the total population Volpert et al. (2020), we address a modified compartmental Susceptible/ Exposed/ Infectious Asymptomatic/ Infected Symptomatic/ Recovered/ Dead (SEIIRD) model with two compartments of infectious persons: one modelling the cases in the population that are asymptomatic or experience very mild symptoms and another modelling the infected cases with mild to severe symptoms. The parameters of the model corresponding to the recovery period, the time from the onset of symptoms to death and the time from exposure to the time that an individual starts to be infectious, have been set as reported from clinical studies on COVID-19. For the estimation of the day-zero of the outbreak in Lombardy, as well as of the effective per-day transmission rate for which no clinical data are available, we have used the proposed SEIIRD simulator to fit the numbers of new daily cases from February 21 to the 8th of March. This was accomplished by solving a mixed-integer optimization problem. Based on the computed parameters, we also provide an estimation of the basic reproduction number R-0 and the evolution of the effective reproduction number R-e. To examine the efficiency of the model and approach, we ran the simulator to forecast the epidemic two months ahead of time, i.e. from March 8 to May 4. For this purpose, we considered the reduction in mobility in Lombardy as released on March 29 by Google COVID-19 Community Mobility Reports, and the effects of social distancing and of the very strict measures taken by the government on March 20 and March 21, 2020. Results Based on the proposed methodological procedure, we estimated that the expected day-zero was January 14 (min-max rage: January 5 to January 23, interquartile range: January 11 to January 18). The actual cumulative number of asymptomatic infected cases in the total population in Lombardy on March 8 was of the order of 15 times the confirmed cumulative number of infected cases, while the expected value of the basic reproduction number R-0 was found to be 4.53 (min-max range: 4.40- 4.65). On May 4, the date on which relaxation of the measures commenced the effective reproduction number was found to be 0.987 (interquartiles: 0.857, 1.133). The model approximated adequately two months ahead of time the evolution of reported cases of infected until May 4, the day on which the phase I of the relaxation of measures was implemented over all of Italy. Furthermore the model predicted that until May 4, around 20% of the population in Lombardy has recovered (interquartile range: similar to 10% to similar to 30%)." . "application/ld+json" . . "https://w3id.org/ro-id/bce36619-9ad0-4291-81e1-f1808b1a7afa" . . "Tracing day-zero and forecasting the COVID-19 outbreak in Lombardy, Italy: A compartmental modelling and numerical optimization approach" . "MANUAL" . . . . . . "Foglini, Federica. \"Tracing day-zero and forecasting the COVID-19 outbreak in Lombardy, Italy: A compartmental modelling and numerical optimization approach.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/bce36619-9ad0-4291-81e1-f1808b1a7afa." . . "266"^^ . "https://api.rohub.org/api/resources/32451a9e-6f5a-4fc7-ab0e-875998dfebe5/download/" . . "2021-12-10 10:06:08.003535+00:00" . "2021-12-10 10:06:08.004550+00:00" . "Introduction Italy became the second epicenter of the novel coronavirus disease 2019 (COVID-19) pandemic after China, surpassing by far China's death toll. The disease swept through Lombardy, which remained in lockdown for about two months, starting from the 8th of March. As of that day, the isolation measures taken in Lombardy were extended to the entire country. Here, assuming that effectively there was one case zero that introduced the virus to the region, we provide estimates for: (a) the day-zero of the outbreak in Lombardy, Italy; (b) the actual number of asymptomatic infected cases in the total population until March 8; (c) the basic (R-0)and the effective reproduction number (R-e) based on the estimation of the actual number of infected cases. To demonstrate the efficiency of the model and approach, we also provide a tentative forecast two months ahead of time, i.e. until May 4, the date on which relaxation of the measures commenced, on the basis of the COVID-19 Community Mobility Reports released by Google on March 29. Methods To deal with the uncertainty in the number of the actual asymptomatic infected cases in the total population Volpert et al. (2020), we address a modified compartmental Susceptible/ Exposed/ Infectious Asymptomatic/ Infected Symptomatic/ Recovered/ Dead (SEIIRD) model with two compartments of infectious persons: one modelling the cases in the population that are asymptomatic or experience very mild symptoms and another modelling the infected cases with mild to severe symptoms. The parameters of the model corresponding to the recovery period, the time from the onset of symptoms to death and the time from exposure to the time that an individual starts to be infectious, have been set as reported from clinical studies on COVID-19. For the estimation of the day-zero of the outbreak in Lombardy, as well as of the effective per-day transmission rate for which no clinical data are available, we have used the proposed SEIIRD simulator to fit the numbers of new daily cases from February 21 to the 8th of March. This was accomplished by solving a mixed-integer optimization problem. Based on the computed parameters, we also provide an estimation of the basic reproduction number R-0 and the evolution of the effective reproduction number R-e. To examine the efficiency of the model and approach, we ran the simulator to forecast the epidemic two months ahead of time, i.e. from March 8 to May 4. For this purpose, we considered the reduction in mobility in Lombardy as released on March 29 by Google COVID-19 Community Mobility Reports, and the effects of social distancing and of the very strict measures taken by the government on March 20 and March 21, 2020. Results Based on the proposed methodological procedure, we estimated that the expected day-zero was January 14 (min-max rage: January 5 to January 23, interquartile range: January 11 to January 18). The actual cumulative number of asymptomatic infected cases in the total population in Lombardy on March 8 was of the order of 15 times the confirmed cumulative number of infected cases, while the expected value of the basic reproduction number R-0 was found to be 4.53 (min-max range: 4.40- 4.65). On May 4, the date on which relaxation of the measures commenced the effective reproduction number was found to be 0.987 (interquartiles: 0.857, 1.133). The model approximated adequately two months ahead of time the evolution of reported cases of infected until May 4, the day on which the phase I of the relaxation of measures was implemented over all of Italy. Furthermore the model predicted that until May 4, around 20% of the population in Lombardy has recovered (interquartile range: similar to 10% to similar to 30%)." . "text/plain" . . "Tracing day-zero and forecasting the COVID-19 outbreak in Lombardy, Italy: A compartmental modelling and numerical optimization approach" . "2021-12-10 10:06:08.003535+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:43:39.701+01:00"^^ . . . . "Tracing day-zero and forecasting the COVID-19 outbreak in Lombardy, Italy: A compartmental modelling and numerical optimization approach" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "oI91QAJRQiR/CjgT6lmBVts8f1o1Lz/lfm3cOvDBLRFIkyHU6pLqWa/GFuouYCuE+WgKFEpPKoitInx9erdM116JE34FL+ZTR9KeuWa0MTdlYHk7ibYyiWKB79TwARvMdlFzs2Jyjri8Wqqm5nSfhru3zvHhSbW2dlKejl6DInUGb1suYzfrkaAzl/UFlB7sSuKoBpTQXtWxHuARncUv1+vmpzU917ujQ/vj9QfPkrWyfzxSPU9VG8+aX/fVBc+saQwxOcA3Ib24p9vgw5pfLfKvHcY+XrH+rNc4nQTYbk5CqhdY7YAwaxBqezX+/+el087du5tMaE8dAZqE6NLb5A==" . . . . . . . "" . "Social sciences" . . . "volume 10" . . "age structure of the population" . . "social interaction" . . "mechanisms for the Covid-19 epidemic" . . "mobility restriction" . . "epidemic spreading" . . "sci rep 2020" . . "lockdown strength" . . "Quattrociocchi" . . "medicine" . . "behavior" . . "epidemic" . . "interaction" . . "mechanisms" . . "relevance" . . "restriction" . . "infectious disease" . . "impact" . . "age class" . . "interaction" . . "exit mechanisms" . . "spread" . . "exit" . . "age structure" . . "lockdown" . . "mobility" . . "importance" . . "social contact" . . "intervention" . . "Italy" . . "inter-regional mobility matrix" . . "Scala" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . "5418"^^ . "https://api.rohub.org/api/ros/75a096fc-0b3e-4f13-96cc-9e34f22d226c/crate/download/" . . "2021-12-10 10:06:11.123834+00:00" . "2025-03-05 02:47:47.644030+00:00" . "2021-12-10 10:06:11.123834+00:00" . "We develop a minimalist compartmental model to study the impact of mobility restrictions in Italy during the Covid-19 outbreak. We show that, while an early lockdown shifts the contagion in time, beyond a critical value of lockdown strength the epidemic tends to restart after lifting the restrictions. We characterize the relative importance of different lockdown lifting schemes by accounting for two fundamental sources of heterogeneity, i.e. geography and demography. First, we consider Italian Regions as separate administrative entities, in which social interactions between age classes occur. We show that, due to the sparsity of the inter-Regional mobility matrix, once started, the epidemic spreading tends to develop independently across areas, justifying the adoption of mobility restrictions targeted to individual Regions or clusters of Regions. Second, we show that social contacts between members of different age classes play a fundamental role and that interventions which target local behaviours and take into account the age structure of the population can provide a significant contribution to mitigate the epidemic spreading. Our model aims to provide a general framework, and it highlights the relevance of some key parameters on non-pharmaceutical interventions to contain the contagion." . "application/ld+json" . . "https://w3id.org/ro-id/75a096fc-0b3e-4f13-96cc-9e34f22d226c" . . "Time, space and social interactions: exit mechanisms for the Covid-19 epidemics" . "MANUAL" . . . . . . "Foglini, Federica. \"Time, space and social interactions: exit mechanisms for the Covid-19 epidemics.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/75a096fc-0b3e-4f13-96cc-9e34f22d226c." . . "203"^^ . "https://api.rohub.org/api/resources/303c913d-7af8-4738-8374-d389cd781e70/download/" . . "2021-12-10 10:06:14.183453+00:00" . "2021-12-10 10:06:14.184617+00:00" . "We develop a minimalist compartmental model to study the impact of mobility restrictions in Italy during the Covid-19 outbreak. We show that, while an early lockdown shifts the contagion in time, beyond a critical value of lockdown strength the epidemic tends to restart after lifting the restrictions. We characterize the relative importance of different lockdown lifting schemes by accounting for two fundamental sources of heterogeneity, i.e. geography and demography. First, we consider Italian Regions as separate administrative entities, in which social interactions between age classes occur. We show that, due to the sparsity of the inter-Regional mobility matrix, once started, the epidemic spreading tends to develop independently across areas, justifying the adoption of mobility restrictions targeted to individual Regions or clusters of Regions. Second, we show that social contacts between members of different age classes play a fundamental role and that interventions which target local behaviours and take into account the age structure of the population can provide a significant contribution to mitigate the epidemic spreading. Our model aims to provide a general framework, and it highlights the relevance of some key parameters on non-pharmaceutical interventions to contain the contagion." . "text/plain" . . "Time, space and social interactions: exit mechanisms for the Covid-19 epidemics" . "2021-12-10 10:06:14.183453+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:43:38.338+01:00"^^ . . . . "Time, space and social interactions: exit mechanisms for the Covid-19 epidemics" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "p5DDK9ZY6KzF4usF6Fj6O71d/wGF2oxM7WPLGtaS7k85ryceOpm9W1rGauDvRJ/g8TW679MBa7SPD1FHFmbLLfcJm9Pumh4CxOCDRWZcMbUy9/EuVg9XGpmS8Ha1nRBBt3B1L6JglVqVXqiNGuyOT09NvGO6p+vrInAOZy0hQQZQ9k/fgqHXzLgS48MvtcSo3FyyQeETsn13HDTs7XohR0B7eKKA0ZwLqGzc/I4yjLOmvIwqtmVy7kJe7ABGFXLaRB55U1CqkFBjRmo8YC2gfRrgm42REdHV8TT3FwKCY9M9G6kc4iTrX5qPV6BarnG+Aer3tQKlFZQ1MteJai8TFg==" . . . . . . . "" . "Social sciences" . . . "the economy" . . "Bonaccorsi" . . "mobility restriction" . . "human mobility restriction" . . "segregation effect" . . "mobility contraction" . . "lockdown restriction" . . "lockdown strategy" . . "aluminium" . . "strategy" . . "restriction" . . "result" . . "social consequence" . . "mobility" . . "consequences of human mobility restriction" . "Acad" . . . "lockdown" . . "mobility" . . "Natl. Acad" . . "limitation" . . "information" . "Facebook" . . . "economic situation" . . "national" . . "diversity" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . "5327"^^ . "https://api.rohub.org/api/ros/55f5ab15-13df-4205-b2e5-2d5d80107369/crate/download/" . . "2021-12-10 10:06:17.575361+00:00" . "2025-03-05 00:57:44.982573+00:00" . "2021-12-10 10:06:17.575361+00:00" . "In response to the coronavirus disease 2019 (COVID-19) pandemic, several national governments have applied lockdown restrictions to reduce the infection rate. Here we perform a massive analysis on near-real-time Italian mobility data provided by Facebook to investigate how lockdown strategies affect economic conditions of individuals and local governments. We model the change in mobility as an exogenous shock similar to a natural disaster. We identify two ways through which mobility restrictions affect Italian citizens. First, we find that the impact of lockdown is stronger in municipalities with higher fiscal capacity. Second, we find evidence of a segregation effect, since mobility contraction is stronger in municipalities in which inequality is higher and for those where individuals have lower income per capita. Our results highlight both the social costs of lockdown and a challenge of unprecedented intensity: On the one hand, the crisis is inducing a sharp reduction of fiscal revenues for both national and local governments; on the other hand, a significant fiscal effort is needed to sustain the most fragile individuals and to mitigate the increase in poverty and inequality induced by the lockdown." . "application/ld+json" . . "https://w3id.org/ro-id/55f5ab15-13df-4205-b2e5-2d5d80107369" . . "Economic and social consequences of human mobility restrictions under COVID-19" . "MANUAL" . . . . . . "Foglini, Federica. \"Economic and social consequences of human mobility restrictions under COVID-19.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/55f5ab15-13df-4205-b2e5-2d5d80107369." . . "304"^^ . "https://api.rohub.org/api/resources/edbb0b87-359c-4381-9289-52f1604ebf29/download/" . . "2021-12-10 10:06:20.410214+00:00" . "2021-12-10 10:06:20.411042+00:00" . "In response to the coronavirus disease 2019 (COVID-19) pandemic, several national governments have applied lockdown restrictions to reduce the infection rate. Here we perform a massive analysis on near-real-time Italian mobility data provided by Facebook to investigate how lockdown strategies affect economic conditions of individuals and local governments. We model the change in mobility as an exogenous shock similar to a natural disaster. We identify two ways through which mobility restrictions affect Italian citizens. First, we find that the impact of lockdown is stronger in municipalities with higher fiscal capacity. Second, we find evidence of a segregation effect, since mobility contraction is stronger in municipalities in which inequality is higher and for those where individuals have lower income per capita. Our results highlight both the social costs of lockdown and a challenge of unprecedented intensity: On the one hand, the crisis is inducing a sharp reduction of fiscal revenues for both national and local governments; on the other hand, a significant fiscal effort is needed to sustain the most fragile individuals and to mitigate the increase in poverty and inequality induced by the lockdown." . "text/plain" . . "Economic and social consequences of human mobility restrictions under COVID-19" . "2021-12-10 10:06:20.410214+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:43:36.871+01:00"^^ . . . . "Economic and social consequences of human mobility restrictions under COVID-19" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "quvT2krMYY6CZOZ8kMNZ0EievlExYkhcQCgUMIw5LLi47OgiAnVvvqWL9k9FdFJ4aJnwqmUx/bXyirk0zJHsRmf9P5p050yH0Ee10sm2/AKUaLtERq1ZGlIEA6eduC60QTQS9wtPIu8+1JzzssW6t0jp6NaNQcvph9S3hWpUAuj+RTmCsbDSLRyXnvZdQuagpGqnAs0IuwgO/dWt8EjjriGpQ0TheivEq5cPOWHaPd4w1vslvMZHuGBn59zOYou0Ok4dmwyMv97PDgC5xj6rvj3jn/OiEY4rBWsDafWM2bSflV15Cw08BM6M8MZ4h0LjoQj6qKs+n5g3OxdC9OGB5g==" . . . . . . . "" . "Neurobiology" . . . "diffusion of covid 19" . . "Prezioso" . . "possible involvement" . . "trigger complication" . "World Health Organization" . . . "possible involvement of SARS-CoV-2" . "Journal of geophysical research. Biogeosciences" . . . "novel coronavirus" . . "medicine" . . "World Health Organization" . . "number" . . "pandemic" . . "pneumonia" . . "epidemic" . . "coronavirus" . . "complication" . . "capital of Hubei, China" . . "Wuhan" . . "Hubei" . . "diffusion" . . "Italy" . . "pneumonia Coronavirus disease 2019" . . "involvement of SARS-CoV-2" . . "Three Italy of the COVID-19 epidemic" . "Italian National Institute of Health" . . . "capital" . . "involvement" . . "infection" . . "China" . . "Hubei" . . "Italy" . . "The Three Italy of the COVID-19 epidemic" . . "Wuhan" . . "kill" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . "4282"^^ . "https://api.rohub.org/api/ros/ac4dc70c-fdcc-4065-b297-7cce379c56a5/crate/download/" . . "2021-12-10 10:06:23.621238+00:00" . "2025-03-05 02:47:43.863841+00:00" . "2021-12-10 10:06:23.621238+00:00" . "Coronavirus disease 2019 (COVID-19), first reported in Wuhan, the capital of Hubei, China, has been associated to a novel coronavirus, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In March 2020, the World Health Organization declared the SARS-CoV-2 infection a global pandemic. Soon after, the number of cases soared dramatically, spreading across China and worldwide. Italy has had 12,462 confirmed cases according to the Italian National Institute of Health (ISS) as of March 11, and after the lockdown of the entire territory, by May 4, 209,254 cases of COVID-19 and 26,892 associated deaths have been reported. We performed a review to describe, in particular, the origin and the diffusion of COVID-19 in Italy, underlying how the geographical circulation has been heterogeneous and the importance of pathophysiology in the involvement of cardiovascular and neurological clinical manifestations." . "application/ld+json" . . "https://w3id.org/ro-id/ac4dc70c-fdcc-4065-b297-7cce379c56a5" . . "The Three Italy of the COVID-19 epidemic and the possible involvement of SARS-CoV-2 in triggering complications other than pneumonia" . "MANUAL" . . . . . . "Foglini, Federica. \"The Three Italy of the COVID-19 epidemic and the possible involvement of SARS-CoV-2 in triggering complications other than pneumonia.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/ac4dc70c-fdcc-4065-b297-7cce379c56a5." . . "262"^^ . "https://api.rohub.org/api/resources/c64d9709-1f85-4cdf-bcb0-9b5346cfe881/download/" . . "2021-12-10 10:06:26.377332+00:00" . "2021-12-10 10:06:26.378328+00:00" . "Coronavirus disease 2019 (COVID-19), first reported in Wuhan, the capital of Hubei, China, has been associated to a novel coronavirus, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In March 2020, the World Health Organization declared the SARS-CoV-2 infection a global pandemic. Soon after, the number of cases soared dramatically, spreading across China and worldwide. Italy has had 12,462 confirmed cases according to the Italian National Institute of Health (ISS) as of March 11, and after the lockdown of the entire territory, by May 4, 209,254 cases of COVID-19 and 26,892 associated deaths have been reported. We performed a review to describe, in particular, the origin and the diffusion of COVID-19 in Italy, underlying how the geographical circulation has been heterogeneous and the importance of pathophysiology in the involvement of cardiovascular and neurological clinical manifestations." . "text/plain" . . "The Three Italy of the COVID-19 epidemic and the possible involvement of SARS-CoV-2 in triggering complications other than pneumonia" . "2021-12-10 10:06:26.377332+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:43:35.498+01:00"^^ . . . . "The Three Italy of the COVID-19 epidemic and the possible involvement of SARS-CoV-2 in triggering complications other than pneumonia" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "Gn2aGk2dBx0hRMDdwo0dNZ6RTUimCb+iqOX2K2DbhLIM7yV2/N2UWDdlgh78EbaMelE4pvUrytdslsVloH7ka1cgz5ERVLA+muClxptsdKUOGW0f1Cl0ByFaPc3Ef85Yol+36et/aOzt72s0GHtYO5VtgB0qH7uWyYWw7QLt7u/6dP384YYx0MKwEuNjs+7ebB0E2sh9qio5rS9p3rD12AgQtD6knzWf05istAovqIb9Ov8kADTJD7+hBn1EJYtMN/+F2oTVfFYPvCztKIpUwpQLxrCFvy+6DuWTbHXv2p+FZid7+NH25gtMozZ3hRIuDXD6eiHrFZT9xRgXAhiq3w==" . . . . . . . "" . "Medical science" . . . "volume 13" . . "multiple-choice web-form survey" . . "nutrition counselling" . . "Maffoni" . . "De Giuseppe" . . "body mass index during COVID-19 pandemic lockdown" . "Journal of geophysical research. Biogeosciences" . . . "anatomy" . . "medicine" . . "book" . . "pandemic" . . "way of life" . . "body mass index" . . "public health" . . "web form" . . "multiple-choice" . . "issue 4" . . "pandemic lockdown" . . "counselling" . . "survey" . . "mean Delta BMI" . . "Italian Online-Survey" . "Delta BMI" . . . "lockdown" . . "issue" . . "food" . . "lifestyle change" . . "information" . . "conduct" . . "nutrition" . "Biino" . . . "dietetics" . . "pandemic" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . "5779"^^ . "https://api.rohub.org/api/ros/69e2fce8-0d65-49a3-ad8c-de9b4eef3070/crate/download/" . . "2021-12-10 10:06:29.565487+00:00" . "2025-03-05 01:01:21.020930+00:00" . "2021-12-10 10:06:29.565487+00:00" . "Background. COVID-19 pandemic has imposed a period of contingency measures, including total or partial lockdowns all over the world leading to several changes in lifestyle/eating behaviours. This retrospective cohort study aimed at investigating Italian adult population lifestyle changes during COVID-19 pandemic Phase 1 lockdown (8 March-4 May 2020) and discriminate between positive and negative changes and BMI (body mass index) variations (Delta BMI). Methods. A multiple-choice web-form survey was used to collect retrospective data regarding lifestyle/eating behaviours during Phase 1 in the Italian adult population. According to changes in lifestyle/eating behaviours, the sample was divided into three classes of changes: negative change, no change, positive change. For each class, correlations with Delta BMI were investigated. Results. Data were collected from 1304 subjects (973F/331M). Mean Delta BMI differed significantly (p < 0.001) between classes, and was significantly related to water intake, alcohol consumption, physical activity, frequency of craving or snacking between meals, dessert/sweets consumption at lunch. Conclusions. During Phase 1, many people faced several negative changes in lifestyle/eating behaviours with potential negative impact on health. These findings highlight that pandemic exacerbates nutritional issues and most efforts need to be done to provide nutrition counselling and public health services to support general population needs." . "application/ld+json" . . "https://w3id.org/ro-id/69e2fce8-0d65-49a3-ad8c-de9b4eef3070" . . "Lifestyle Changes and Body Mass Index during COVID-19 Pandemic Lockdown: An Italian Online-Survey" . "MANUAL" . . . . . . "Foglini, Federica. \"Lifestyle Changes and Body Mass Index during COVID-19 Pandemic Lockdown: An Italian Online-Survey.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/69e2fce8-0d65-49a3-ad8c-de9b4eef3070." . . "220"^^ . "https://api.rohub.org/api/resources/02388d59-ced9-426d-801d-9139b1f6a721/download/" . . "2021-12-10 10:06:32.824356+00:00" . "2021-12-10 10:06:32.825234+00:00" . "Background. COVID-19 pandemic has imposed a period of contingency measures, including total or partial lockdowns all over the world leading to several changes in lifestyle/eating behaviours. This retrospective cohort study aimed at investigating Italian adult population lifestyle changes during COVID-19 pandemic Phase 1 lockdown (8 March-4 May 2020) and discriminate between positive and negative changes and BMI (body mass index) variations (Delta BMI). Methods. A multiple-choice web-form survey was used to collect retrospective data regarding lifestyle/eating behaviours during Phase 1 in the Italian adult population. According to changes in lifestyle/eating behaviours, the sample was divided into three classes of changes: negative change, no change, positive change. For each class, correlations with Delta BMI were investigated. Results. Data were collected from 1304 subjects (973F/331M). Mean Delta BMI differed significantly (p < 0.001) between classes, and was significantly related to water intake, alcohol consumption, physical activity, frequency of craving or snacking between meals, dessert/sweets consumption at lunch. Conclusions. During Phase 1, many people faced several negative changes in lifestyle/eating behaviours with potential negative impact on health. These findings highlight that pandemic exacerbates nutritional issues and most efforts need to be done to provide nutrition counselling and public health services to support general population needs." . "text/plain" . . "Lifestyle Changes and Body Mass Index during COVID-19 Pandemic Lockdown: An Italian Online-Survey" . "2021-12-10 10:06:32.824356+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:43:34.130+01:00"^^ . . . . "Lifestyle Changes and Body Mass Index during COVID-19 Pandemic Lockdown: An Italian Online-Survey" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "l18IGMY26qxH2dX3toGD1VJnQDEUH3TssnVnoCyytsWc6a8jJIysXxscpmnfPM/XiYuy1wY5t79ZB//XfzbINKLTl0KRDLRb30g/5PzAwmNS//sCo3dHF8nT/ZREPFEJCPr7WidUCS6L1+/aUPvxGI96qGhL437fiJxUJCGp9lhhVFv91Kfki2d0xGpe/TQ0nc/obV7KlpeC+lr5NchpypZLFMj141Qo/YmBEyaCkzqpBSPt7WbrSKbn9fdbYZOeUqCvsgK5sDoqpMVBYzYVEBswceSFw8/BNh3SGuvXH4ChX+e4Dg0nU+I0cywIqk09wrTx4HPmVR8kEN3bu7TDoQ==" . . . . . . . "" . "Medical science" . . . "psychology" . "Journal of geophysical research. Biogeosciences" . . "Trivellini" . . . "related quality of life" . . "volume 9" . . "medicine" . . "health" . . "angstrom" . . "volume" . . "welfare" . . "quality of life" . . "Italian adolescent" . . "CQ period" . . "peer relationship" . . "emotion" . . "relationship" . . "health quality of life" . . "health" . . "promotion process of health" . . "quality of life in Italian adolescent" . . "study" . . "experience" . . "aim" . . "mood" . . "Mastorci" . . "information" . . "teen" . . "Standard Condition" . . "A. health-related quality of life" . . "CQ" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . "4811"^^ . "https://api.rohub.org/api/ros/d0501e2b-d445-42cd-9c1d-e06d2c00fd2e/crate/download/" . . "2021-12-10 10:06:42.441770+00:00" . "2025-03-05 00:52:20.609974+00:00" . "2021-12-10 10:06:42.441770+00:00" . "Coronavirus disease 2019 (COVID-19) outbreak represented an experience of social isolation potentially leading to changes in the health quality of life. The aim of this study is to investigate the health-related quality of life during quarantine in early adolescents. Data were collected from 1,289 adolescents (mean age, 12.5; male, 622), at the beginning of the school year (September 2019, Standard Condition, SC) as part of the AVATAR project and during Phase 1 of the Italian lockdown (mid-late April 2020) (COVID-19 Quarantine, CQ) using an online questionnaire. In the CQ period, with respect to SC, adolescents showed lower perception in the dimensions, such as psychological (p = 0.001), physical well-being (p = 0.001), mood/emotion (p = 0.008), autonomy (p = 0.001), and financial resources (p = 0.018). Relationship with the family (p = 0.021) and peers (p = 0.001), as well as the perception of bullying (p = 0.001) were reduced. In lifestyle, adolescents developed higher adherence to the Mediterranean diet (p = 0.001). Adolescents living in the village had greater reduction in both autonomy (p = 0.002) and peer relationships (p = 0.002). Moreover, the perception of physical well-being was lower in those living in the city instead of those living in the countryside (p = 0.03), in an apartment instead of a detached house (p = 0.002), and in those who did not have green space (p = 0.001). Gender effect emerged for the psychological (p = 0.007) and physical well-being (p = 0.001), mood/emotion (p = 0.001), and self-perception (p = 0.001). The study showed that health-related quality of life during quarantine changed in its psychosocial dimensions, from mood and self-esteem to social relationships, helping to define the educational policies at multiple points in the promotion process of health." . "application/ld+json" . . "https://w3id.org/ro-id/d0501e2b-d445-42cd-9c1d-e06d2c00fd2e" . . "Health-Related Quality of Life in Italian Adolescents During Covid-19 Outbreak" . "MANUAL" . . . . . . "Foglini, Federica. \"Health-Related Quality of Life in Italian Adolescents During Covid-19 Outbreak.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/d0501e2b-d445-42cd-9c1d-e06d2c00fd2e." . . "208"^^ . "https://api.rohub.org/api/resources/fe790e5e-39b6-4491-a37d-23ec745a671c/download/" . . "2021-12-10 10:06:45.619191+00:00" . "2021-12-10 10:06:45.620260+00:00" . "Coronavirus disease 2019 (COVID-19) outbreak represented an experience of social isolation potentially leading to changes in the health quality of life. The aim of this study is to investigate the health-related quality of life during quarantine in early adolescents. Data were collected from 1,289 adolescents (mean age, 12.5; male, 622), at the beginning of the school year (September 2019, Standard Condition, SC) as part of the AVATAR project and during Phase 1 of the Italian lockdown (mid-late April 2020) (COVID-19 Quarantine, CQ) using an online questionnaire. In the CQ period, with respect to SC, adolescents showed lower perception in the dimensions, such as psychological (p = 0.001), physical well-being (p = 0.001), mood/emotion (p = 0.008), autonomy (p = 0.001), and financial resources (p = 0.018). Relationship with the family (p = 0.021) and peers (p = 0.001), as well as the perception of bullying (p = 0.001) were reduced. In lifestyle, adolescents developed higher adherence to the Mediterranean diet (p = 0.001). Adolescents living in the village had greater reduction in both autonomy (p = 0.002) and peer relationships (p = 0.002). Moreover, the perception of physical well-being was lower in those living in the city instead of those living in the countryside (p = 0.03), in an apartment instead of a detached house (p = 0.002), and in those who did not have green space (p = 0.001). Gender effect emerged for the psychological (p = 0.007) and physical well-being (p = 0.001), mood/emotion (p = 0.001), and self-perception (p = 0.001). The study showed that health-related quality of life during quarantine changed in its psychosocial dimensions, from mood and self-esteem to social relationships, helping to define the educational policies at multiple points in the promotion process of health." . "text/plain" . . "Health-Related Quality of Life in Italian Adolescents During Covid-19 Outbreak" . "2021-12-10 10:06:45.619191+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:43:31.456+01:00"^^ . . . . "Health-Related Quality of Life in Italian Adolescents During Covid-19 Outbreak" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "Di/l/YGnT4vmVzOkV/tdIOzcu7plsrfhmtsW2Hmus6mGmK/k62kqsEym652+3v+aQAFwDc96BcnFYMqYke2/Hm0sFxv6ClsyTLOWtlp2qnfgXrm0tQ0CP4vzc/KQvw1K9cz5E+QuqMptapRbEexiRlrqKnTfl42wJ4Sb/CzWe4+0TRpQtSiDBZypbDs5Aw9fnFoFgdIRwCOI/LWTAv0njyZqsPB0BHzfbF2MG07BL4p9QaF8ht5ra7BohhJv7j9hpReLWu2crOs4Gn58i+EdSxNmGi6gJehl8pZchV8Tjdl3MgwDJXGhzqEoQDT7Qfx2Zm4Z+BDoaEM66lgG8t681g==" . . . . . . . "" . "Pharmacology" . . "" . "Pharmacy" . . . "Turkey" . "Ciancimino" . . "Journal of geophysical research. Biogeosciences" . . . "gender stereotype" . . "behavior" . . "health" . . "gender" . . "stereotype" . . "questionnaire" . . "system" . . "gender role" . . "Turkey" . . "welfare" . . "Bulgan" . . "emergency from covid 19" . . "Italy" . . "Europe" . . "compare the influence" . . "health emergency" . . "Bulgan" . . "well-being in Italy" . . "Europe" . . "influence of gender stereotype" . . "Tintori" . . "influence" . . "l." . . "compliance" . . "emergency" . . "Italy" . . "Eur. Rev. Med" . . "emancipation process" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . . "6144"^^ . "https://api.rohub.org/api/ros/130bd478-289c-438c-b9e9-8ce20ae58f6d/crate/download/" . . "2021-12-10 10:06:48.990464+00:00" . "2025-03-05 00:47:00.660389+00:00" . "2021-12-10 10:06:48.990464+00:00" . "OBJECTIVE: The hypothesis that gender stereotypes influence human behaviour and relational well-being is widely accepted in the literature. However, a comparison based on scientific assumptions is necessary to deeply understand the mechanisms activated by stereotypes in conditions of stress. The global health emergency from COVID-19 offers the opportunity to compare countries with different socio-cultural conditions, whose population has been subjected to the same stressful event during the lockdown phase. SUBJECTS AND METHODS: The same questionnaire was disseminated in both Italy and Turkey during their respective lockdown phases. 140,000 interviews were collected in Italy and 10,000 in Turkey, a number big enough to obtain useful information for a comparative analysis in relation to behaviours, attitudes and well-being. also using the recursive regression models. RESULTS: The results, based on scientific data, show that gender stereotypes are much more rooted in Turkey than in Italy, where the emancipation process of the population is more advanced, producing profound social changes and decreasing differences between men and women in terms of behaviour and reactions to difficult situations, such as the present one. CONCLUSIONS: Stereotypes, which are hostile to any opposite evidence, affect individual behaviours and attitudes to the point that, within a specific context, they play a protective role against the uncertainty during a period of health emergency, inducing people to seek shelter in pre-established and widespread behavioural models. According to the data analysis, this has happened in Turkey more than in Italy. The results show that within a culture still strongly pervaded by these social conditioning, especially at the presence of low levels of education. the adherence to gender roles constitutes a protective factor of the individual well-being against external stress factors." . "application/ld+json" . . "https://w3id.org/ro-id/130bd478-289c-438c-b9e9-8ce20ae58f6d" . . "Comparing the influence of gender stereotypes on well-being in Italy and Turkey during the COVID-19 lockdown" . "MANUAL" . . . . . . "Foglini, Federica. \"Comparing the influence of gender stereotypes on well-being in Italy and Turkey during the COVID-19 lockdown.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/130bd478-289c-438c-b9e9-8ce20ae58f6d." . . "270"^^ . "https://api.rohub.org/api/resources/cc942625-3590-4c7c-90d2-fa9e252bf997/download/" . . "2021-12-10 10:06:51.674882+00:00" . "2021-12-10 10:06:51.676645+00:00" . "OBJECTIVE: The hypothesis that gender stereotypes influence human behaviour and relational well-being is widely accepted in the literature. However, a comparison based on scientific assumptions is necessary to deeply understand the mechanisms activated by stereotypes in conditions of stress. The global health emergency from COVID-19 offers the opportunity to compare countries with different socio-cultural conditions, whose population has been subjected to the same stressful event during the lockdown phase. SUBJECTS AND METHODS: The same questionnaire was disseminated in both Italy and Turkey during their respective lockdown phases. 140,000 interviews were collected in Italy and 10,000 in Turkey, a number big enough to obtain useful information for a comparative analysis in relation to behaviours, attitudes and well-being. also using the recursive regression models. RESULTS: The results, based on scientific data, show that gender stereotypes are much more rooted in Turkey than in Italy, where the emancipation process of the population is more advanced, producing profound social changes and decreasing differences between men and women in terms of behaviour and reactions to difficult situations, such as the present one. CONCLUSIONS: Stereotypes, which are hostile to any opposite evidence, affect individual behaviours and attitudes to the point that, within a specific context, they play a protective role against the uncertainty during a period of health emergency, inducing people to seek shelter in pre-established and widespread behavioural models. According to the data analysis, this has happened in Turkey more than in Italy. The results show that within a culture still strongly pervaded by these social conditioning, especially at the presence of low levels of education. the adherence to gender roles constitutes a protective factor of the individual well-being against external stress factors." . "text/plain" . . "Comparing the influence of gender stereotypes on well-being in Italy and Turkey during the COVID-19 lockdown" . "2021-12-10 10:06:51.674882+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:43:30.095+01:00"^^ . . . . "Comparing the influence of gender stereotypes on well-being in Italy and Turkey during the COVID-19 lockdown" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "jG3vA9mVphbSRiwDZVgQ0RlJnObbXM3OoPUzkkSFEwXIoNgdj//EtIjdVbl8e3g6MaqOhwXgx02+7CC6si3Xk98tK9FzC62+r5MAsOW9POZrf5oJgcOH4nEZ57OXSScMw/BwDy2ANpMJ/wdq3Uana0CLjzpzb7IugdvYcFqvD9eBA2TaG1m3BoaMA9BN6ynY0wdjANnR+3ka/5Gz6vjHHNaMhnvkxko/BSKhkWboY1f6MQ4UPXE4RT8oqk5vuGgXL9aAaAAbgxRR2z1Tv4/St5B81is+qgxzYgwSTaNALyV5MBCW/G2k24QEdjOGHxp9T1QBnXeDC9xoMxqLvG4/eA==" . . . . . . . "" . "Pharmacology" . . "" . "Pharmacy" . . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "needs" . . "9.822263797942002" . "10.5" . "spread" . . "3.928905519176801" . "4.2" . "Europe" . . "https://www.wikidata.org/wiki/Q46" . "Emergency incident" . . "Disaster, accident and emergency incident/Accident and emergency incident/Emergency incident" . "Parsi" . . "7.7227722772277225" . "7.8" . "environmental sciences" . . "39.63620155735672" . "0.6543404459953308" . "Apr-2-2020" . . "life sciences (general)" . . "100.0" . "1.84152752161026" . "social contact" . . "4.4901777362020585" . "4.8" . "medicine" . . "26.666666666666668" . "2.0" . "Religious leader" . . "Religion and belief/Religious leader" . "emotions" . . "8.51262862488307" . "9.1" . "scientific terms" . . "9.333333333333334" . "0.7" . "geology" . . "60.36379844264328" . "0.996525228023529" . "Ciancimino" . . "9.009900990099009" . "9.1" . "covid 19" . . "12.77227722772277" . "12.899999999999999" . "La Longa" . . "12.265512265512266" . "17.0" . "from Mar-22-2020" . . "impact" . . "10.009354536950422" . "10.7" . "computer science" . . "28.0" . "2.1" . "earth sciences" . . "60.36379844264328" . "0.996525228023529" . "lack" . . "5.9405940594059405" . "6.0" . "Principal Components Analysis" . . "3.1024531024531026" . "4.3" . "Cerbara" . . "7.227722772277228" . "7.3" . "scarcity" . . "4.770813844714686" . "5.1" . "aim" . . "6.361085126286249" . "6.8" . "OBJECTIVE: Social distancing is crucial in order to flatten the curve of COVID-19 virus spreading." . . "9.021406727828746" . "11.8" . "study" . . "15.341440598690363" . "16.4" . "La Longa" . . "7.425742574257426" . "7.5" . "Palomba" . . "14.356435643564357" . "14.5" . "Europe" . . "5.425631431244154" . "5.8" . "Cerbara, L; Ciancimino, G; Crescimbene, M; La Longa, F; Parsi, MR; Tintori, A; Palomba, R. A nation-wide survey on emotional and psychological impacts of COVID-19 social distancing." . . "65.59633027522935" . "85.8" . "lack of social contacts" . . "4.112554112554113" . "5.7" . "Psychology" . . "Science and technology/Social sciences/Psychology" . "Maslow" . . "4.9504950495049505" . "5.0" . "Music" . . "Arts, culture and entertainment/Arts and entertainment/Music" . "Isolation, scarcity of resources and the lack of social contacts may have produced a negative impact on people's emotions and psychological well-being." . . "7.262996941896024" . "9.5" . "This study demonstrates the existence of links between negative emotions and primary needs that mainly refer to the first three levels of Maslow's pyramid." . . "7.339449541284403" . "9.6" . "Psychology" . . "Science and technology/Social sciences/Psychology" . "Weather" . . "Weather" . "Maslow's hierarchy of needs" . . "3.3910533910533913" . "4.7" . "nation-wide survey" . . "5.411255411255412" . "7.5" . "psychology" . . "30.666666666666664" . "2.3" . "survey" . . "8.514851485148515" . "8.6" . "(Eur. Rev. Med." . . "10.779816513761467" . "14.1" . "welfare" . . "5.893358278765201" . "6.3" . "subsistence needs" . . "9.812409812409813" . "13.6" . "want" . . "7.857811038353602" . "8.4" . "Eur. Rev. Med" . . "50.721500721500725" . "70.3" . "life sciences" . . "100.0" . "1.84152752161026" . "emotions" . . "5.544554455445544" . "5.6" . "virus spreading" . . "7.647907647907648" . "10.6" . "linguistics" . . "5.333333333333333" . "0.4" . "service-account-enrichment" . . . . . "6268"^^ . "https://api.rohub.org/api/ros/c34fcf5c-7b68-4820-b3bc-162892cc174a/crate/download/" . . "2021-12-10 10:06:54.641957+00:00" . "2025-03-05 00:46:20.076035+00:00" . "2021-12-10 10:06:54.641957+00:00" . "OBJECTIVE: Social distancing is crucial in order to flatten the curve of COVID-19 virus spreading. Isolation, scarcity of resources and the lack of social contacts may have produced a negative impact on people's emotions and psychological well-being. This study aims to explore the reasons and the ways through which social distancing generates negative emotions in individuals who experienced the lockdown. To a larger extent, the objective is to check the existence of relations between negative emotions and the satisfaction of basic needs. MATERIALS AND METHODS: In Italy 140,656 online interviews were collected from March 22 to April 2, 2020. Data analysis was carried out using mono and bivariate statistical analysis, K-means clustering and the Principal Components Analysis (PCA). The parameters for the identification of six clusters were: the intensity of the respondent's basic emotions and the layers of Maslow's hierarchy of needs. RESULTS: The majority of people involved in an emergency situation, implying a collapse of social contacts, experience some kind of emotional reactions. In our study, we found a correlation between basic emotions and Maslow's hierarchy of needs. In times of crisis, the most basic needs are the physiological ones. Fear, anger and sadness are predominant in all population groups; anger and disgust mainly appear when people are exposed to the risk of not being able to meet subsistence needs, thus perceiving a lack of economic security. CONCLUSIONS: The well-known Maslow's theory of human needs seems to fit well with the outbreak of negative emotions in the context of COVID-19. This study demonstrates the existence of links between negative emotions and primary needs that mainly refer to the first three levels of Maslow's pyramid. As a result of COVID-19 worldwide pandemic, many people have been sucked into the bottom layers of the pyramid. This change in individual basic needs has triggered a relevant transformation in individual emotional status and a shift towards negative emotions." . "application/ld+json" . . "https://w3id.org/ro-id/c34fcf5c-7b68-4820-b3bc-162892cc174a" . . "A nation-wide survey on emotional and psychological impacts of COVID-19 social distancing" . "MANUAL" . . . . . . "https://w3id.org/ro-id/2e8a8077-1200-45e1-8d22-c85a07fba85c" . "https://w3id.org/ro-id/36cea813-057d-4200-96e8-a02e6dda30f3" . "https://w3id.org/ro-id/5954ba12-c228-4e45-bc73-83dbb6920a50" . "https://w3id.org/ro-id/a5da7c22-e344-4474-893c-be34ed87a6bc" . "https://w3id.org/ro-id/bd6c59bd-b975-4168-87b0-fd089cab86df" . "https://w3id.org/ro-id/14845d35-7fe9-45ad-8683-61bb89572114" . "https://w3id.org/ro-id/dd9c9d64-2c98-4f47-a638-8e8ab17b392b" . "https://w3id.org/ro-id/05ba2522-9161-4420-805e-927f5432c2e1" . "https://w3id.org/ro-id/142dc626-6793-48ee-bba5-6bdf163badbd" . "https://w3id.org/ro-id/2da0472e-e0af-455d-9d9b-8a35d9410fea" . "https://w3id.org/ro-id/2f6225de-5946-4563-b63f-426c810cf6d3" . "https://w3id.org/ro-id/525fd32b-643b-4b33-be5a-8b5331b00f5e" . "https://w3id.org/ro-id/66ba459e-0a84-465a-a359-7793d304afb5" . "https://w3id.org/ro-id/6887fa46-2150-4627-bfc1-01acfb13e00d" . "https://w3id.org/ro-id/73e8df93-171c-4fe0-bc50-a25870d8aead" . "https://w3id.org/ro-id/8021975b-eb03-4371-a8fb-8e8f5a81ed37" . "https://w3id.org/ro-id/ab4868c2-cb79-48c1-b95f-33607204d182" . "https://w3id.org/ro-id/b43ca91d-0589-451e-925b-faeeddeb2484" . "https://w3id.org/ro-id/f37b62b4-d2b9-47ab-b2d1-129270ef66a8" . "https://w3id.org/ro-id/f7b5522b-02f2-4c8c-b0d2-20b404acc530" . "https://w3id.org/ro-id/25b86141-9ca6-4f6b-b15a-2a56144a7575" . "https://w3id.org/ro-id/37980fde-3310-4250-b3e1-678cba79367d" . "https://w3id.org/ro-id/5fa9cfea-3f68-4f08-a5df-203f6bfde867" . "https://w3id.org/ro-id/eb306019-1796-463e-85e3-e2b362fbf5a8" . "https://w3id.org/ro-id/189e02d2-cdb8-4b61-a385-c7afb9496979" . "https://w3id.org/ro-id/2e9e5cc1-8efe-4fc2-85c8-aa6fcefb7c79" . "https://w3id.org/ro-id/8476ff3e-5432-47af-b3eb-41c3742de3b8" . "https://w3id.org/ro-id/9525b76f-b6d7-4127-9978-95cd81a26647" . "https://w3id.org/ro-id/a1628f74-796c-40b1-a096-50c871ad12ee" . "https://w3id.org/ro-id/a17969b2-5cf6-436d-a4f4-a6df6998dbb5" . "https://w3id.org/ro-id/e40c6a38-55fe-4c7e-bbc1-3ef2dba86c5f" . "https://w3id.org/ro-id/1fc25e98-5566-4218-a8af-4e300e836bc9" . "https://w3id.org/ro-id/37aa9b20-ff9d-4fd2-98fc-b17ee2823896" . "https://w3id.org/ro-id/3e2a594c-9d91-4f32-bce1-355f67dda076" . "https://w3id.org/ro-id/5fedd852-54cd-4b57-8ff6-a7b6a469110d" . "https://w3id.org/ro-id/637061aa-f169-4d41-b7ad-1c528d805c91" . "https://w3id.org/ro-id/792ee71f-788b-472c-a349-010a8e114ee4" . "https://w3id.org/ro-id/79bab1dc-b337-430e-8c58-5d00df848885" . "https://w3id.org/ro-id/92682146-4f29-4c29-b3fc-a7e3320125ac" . "https://w3id.org/ro-id/a68416bd-bf14-4adc-97e6-6f9220ac92dc" . "https://w3id.org/ro-id/bb281765-c361-4aad-ad47-7de3c51e1d20" . "https://w3id.org/ro-id/d0ce22fa-177e-44e4-bf71-426b449b8988" . "https://w3id.org/ro-id/eb723d84-b5d9-438f-8273-e02a988ee727" . "https://w3id.org/ro-id/f54c40c7-debc-4947-94f3-0fcb19fd5582" . "https://w3id.org/ro-id/26cc9920-a42f-44f8-9554-bf8ff213948d" . "https://w3id.org/ro-id/ba21c90c-9e0d-41c5-8966-e0a701ecf84c" . "https://w3id.org/ro-id/459664d0-c15a-4e75-a918-13ccae306538" . "https://w3id.org/ro-id/60f487ee-001d-412e-b4f7-76e06f2990df" . "https://w3id.org/ro-id/82033b03-a3ef-402a-bf7c-49244c57b098" . "https://w3id.org/ro-id/a21e818a-c6ad-4071-a1e9-8820a366a42a" . "https://w3id.org/ro-id/a4d37d46-e6c3-4cf0-a1ff-05cfeb8a1b35" . "https://w3id.org/ro-id/ad5f3e9a-3936-4476-9c48-abd2bf77271e" . "https://w3id.org/ro-id/b452ed95-d705-4cde-8177-3b3ec0616d3a" . "https://w3id.org/ro-id/bca5c8d6-d006-4057-8adc-25059b9679a3" . "https://w3id.org/ro-id/e3b0d645-d21a-40e0-ad42-6817f36bd772" . "https://w3id.org/ro-id/6da6ab3a-0c23-4d3c-aebc-5fe28b23d072" . "https://w3id.org/ro-id/811781bc-b4e6-4f0a-af71-89e11bdc6f47" . "https://w3id.org/ro-id/991fbb61-8936-45db-aedf-4a15554e6e73" . "https://w3id.org/ro-id/9a97d922-7067-4350-8bc7-a929620c3c32" . "https://w3id.org/ro-id/aa095a41-ab9c-4220-89c1-1ca6073b1fcd" . "https://w3id.org/ro-id/26037b68-872f-4c77-8266-3470628f4e94" . "https://w3id.org/ro-id/49e20c11-b5b2-493b-930f-e84f6af91403" . "Foglini, Federica. \"A nation-wide survey on emotional and psychological impacts of COVID-19 social distancing.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/c34fcf5c-7b68-4820-b3bc-162892cc174a." . . "258"^^ . "https://api.rohub.org/api/resources/231907a0-a7f8-406f-a0b6-662e865aaa09/download/" . . "2021-12-10 10:06:57.728687+00:00" . "2021-12-10 10:06:57.729582+00:00" . "OBJECTIVE: Social distancing is crucial in order to flatten the curve of COVID-19 virus spreading. Isolation, scarcity of resources and the lack of social contacts may have produced a negative impact on people's emotions and psychological well-being. This study aims to explore the reasons and the ways through which social distancing generates negative emotions in individuals who experienced the lockdown. To a larger extent, the objective is to check the existence of relations between negative emotions and the satisfaction of basic needs. MATERIALS AND METHODS: In Italy 140,656 online interviews were collected from March 22 to April 2, 2020. Data analysis was carried out using mono and bivariate statistical analysis, K-means clustering and the Principal Components Analysis (PCA). The parameters for the identification of six clusters were: the intensity of the respondent's basic emotions and the layers of Maslow's hierarchy of needs. RESULTS: The majority of people involved in an emergency situation, implying a collapse of social contacts, experience some kind of emotional reactions. In our study, we found a correlation between basic emotions and Maslow's hierarchy of needs. In times of crisis, the most basic needs are the physiological ones. Fear, anger and sadness are predominant in all population groups; anger and disgust mainly appear when people are exposed to the risk of not being able to meet subsistence needs, thus perceiving a lack of economic security. CONCLUSIONS: The well-known Maslow's theory of human needs seems to fit well with the outbreak of negative emotions in the context of COVID-19. This study demonstrates the existence of links between negative emotions and primary needs that mainly refer to the first three levels of Maslow's pyramid. As a result of COVID-19 worldwide pandemic, many people have been sucked into the bottom layers of the pyramid. This change in individual basic needs has triggered a relevant transformation in individual emotional status and a shift towards negative emotions." . "text/plain" . . "A nation-wide survey on emotional and psychological impacts of COVID-19 social distancing" . "2021-12-10 10:06:57.728687+00:00" . . . . . . "needs" . . "7.326732673267327" . "7.4" . "Italy" . . "https://www.wikidata.org/wiki/Q38" . "psychological impact" . . "3.535353535353536" . "4.9" . "Science and technology" . . "Science and technology" . "environmental science and management" . . "39.63620155735672" . "0.6543404459953308" . "objective" . . "4.851485148514852" . "4.9" . "social" . . "10.28999064546305" . "11.0" . "well-being" . . "4.356435643564357" . "4.4" . "Parsi" . . "7.296538821328345" . "7.8" . "service-account-generation-service" . . . "2026-03-03T16:43:28.691+01:00"^^ . . . . "A nation-wide survey on emotional and psychological impacts of COVID-19 social distancing" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "vldgu88efaXgEy9RKqU1ofEoc3scMilEoiVWnuoyyiFNYChF67zSpizUhVsmrFa26K0ohD3MlHbJ318K2kVR5bKOTtDpajPP1fWD4YM6LNyuQp5xQFdXEFco4fxAl241kHHeFv+134iwAJeJqy2u+3tzeS3OxLZwNQpRfXugrFwROIKNU7D/Nx5dgjFXZAB92T/j3orh/HWgczHH3BvSw+b0PVuB4Dzq+fB5pfBPJlBuY/t5rv7lHpi2gtBMcKKaT/OSsbFK9PWPMz9lHOALBPYjREww7BAvL1y4ggsrVT0KitDUQJdT7frVJ60XsffF7+M3l7gxL016395jR46jzQ==" . . . . . . . "" . "Botany" . . . "biology" . . "scientists' research attention" . . "botany" . . "research attention" . . "plants 2021" . . "botany" . . "scientist" . . "organism" . . "angiosperm" . . "research" . . "factory" . . "interest" . . "conservation" . . "botanist" . . "attention" . . "flowers" . . "bias" . . "bias" . . "research bias" . . "trait" . . "scientists' research interest" . . "colour trait" . . "effort" . . "care" . . "plant scientists' research attention" . . "plant conservation effort" . . "plant life" . . "attention" . . "distributed flowers" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . "3997"^^ . "https://api.rohub.org/api/ros/2c23ff8e-9ef5-4cc2-a042-c6760bd74b90/crate/download/" . . "2021-12-10 10:07:00.901185+00:00" . "2025-03-05 01:14:09.380870+00:00" . "2021-12-10 10:07:00.901185+00:00" . "Despite the perception that plant science focuses on strictly scientific criteria, this analysis finds that there is an aesthetic bias in regards to which plants, based on certain traits, receive more research attention. Scientists' research interests are often skewed toward charismatic organisms, but quantifying research biases is challenging. By combining bibliometric data with trait-based approaches and using a well-studied alpine flora as a case study, we demonstrate that morphological and colour traits, as well as range size, have significantly more impact on species choice for wild flowering plants than traits related to ecology and rarity. These biases should be taken into account to inform more objective plant conservation efforts." . "application/ld+json" . . "https://w3id.org/ro-id/2c23ff8e-9ef5-4cc2-a042-c6760bd74b90" . . "Plant scientists' research attention is skewed towards colourful, conspicuous and broadly distributed flowers" . "MANUAL" . . . . . . "Foglini, Federica. \"Plant scientists' research attention is skewed towards colourful, conspicuous and broadly distributed flowers.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/2c23ff8e-9ef5-4cc2-a042-c6760bd74b90." . . "227"^^ . "https://api.rohub.org/api/resources/a2e2eaa5-f226-492e-8460-dc778e832dab/download/" . . "2021-12-10 10:07:04.087045+00:00" . "2021-12-10 10:07:04.088081+00:00" . "Despite the perception that plant science focuses on strictly scientific criteria, this analysis finds that there is an aesthetic bias in regards to which plants, based on certain traits, receive more research attention. Scientists' research interests are often skewed toward charismatic organisms, but quantifying research biases is challenging. By combining bibliometric data with trait-based approaches and using a well-studied alpine flora as a case study, we demonstrate that morphological and colour traits, as well as range size, have significantly more impact on species choice for wild flowering plants than traits related to ecology and rarity. These biases should be taken into account to inform more objective plant conservation efforts." . "text/plain" . . "Plant scientists' research attention is skewed towards colourful, conspicuous and broadly distributed flowers" . "2021-12-10 10:07:04.087045+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:43:23.692+01:00"^^ . . . . "Plant scientists' research attention is skewed towards colourful, conspicuous and broadly distributed flowers" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "PzbYse3aEfxyxUPbroIBV0sSI45pmJ/yQf5KNQnuyeHQmrjG/1OADF7+K2pG2Mjv0glN/kXT/aBNoZxMiyhlmklzt0uwJmEoyecKA50/l0G/0TBgbAE0dXl3eX5g1Bn7uZY6W6fMEtPedbSh9Zqj7DRCqTNvHHF3sMcqkuXllheHboFBKcqhaSAHZsoorNT5fe0weKcdkdNmks9uZhAfZhrDWL2nQnSqRMR161NvBfoAJjGoo6Ueni6plhq+EYRvw0HcGfXJcrgLeKZLhBObpafvVfBF6Hv9eedILXbJZUaBpZo9Yu+32bYcosuKep+WfdQRkOEW57JMzX8zAgkmcg==" . . . . . . . "" . "Geology" . . "" . "Botany" . . . "biology" . . "beginning of Heinrich Stadial" . . "botany" . . "forest withdrawal" . . "Ravazzi" . . "Last Glacial Maximum.The" . . "palynology 2020" . . "Alpine foreland" . . "birch-sedge community" . . "trees" . . "pollen" . . "swamp" . . "peat" . . "floodplain" . "Casaletto Ceredano" . . . "record" . . "forest" . . "community" . . "withdrawal" . . "foreland" . . "pollen record" . . "flood at the beginning of Heinrich Stadial" . "N-Italy" . . . "beginning" . . "vegetation" . . "sedge" . . "birch" . . "pine woodland" . . "floodplain swamp community" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . . "6189"^^ . "https://api.rohub.org/api/ros/f0b9d343-156c-46e2-aa72-efb121a12265/crate/download/" . . "2021-12-10 10:07:07.030356+00:00" . "2025-03-05 12:47:15.829950+00:00" . "2021-12-10 10:07:07.030356+00:00" . "The southern Alpine foreland, facing windward to moist southern airmasses, is daimed to have supported forest vegetation throughout the Last Glaciation. Here we present a multiproxy paleoecological record from a compressed peat, uncovered at Casaletto Ceredano, N-Italy, spanning the interval from 33 to 30.5 kyr cal BP. Stratigraphically, it underlies a fluvioglacial belt attributed to the Last Glacial Maximum.The peat records a floodplain swamp community with tree birch and tall sedges, pine woodlands in upland areas, and only limited patches of open vegetation. Plant macrofossils - bark, charcoal, wood and fruits - establish the predominant role of Betulu pubescens group (downy birch) in the anoxic wetland, thanks to its ability to enhance gas exchange through a distinctive type of bark lenticels. A fire-induced birch-to-pine cyde is repeated twice along the 2500 years-time span covered by the peat layer. The climate reconstructed from modern pollen analogs compares to northern boreal zone, with Tjuly <15 degrees C, excluding warm-temperate trees. A major flood sealing the swamp with minerogenic silt is precisely dated to 30,497 +/- 594 yr cal BP (2 sigma uncertainty). Here, the pollen record shows a substantial forest withdrawal, and development of grasslands and semideserts, pointing to co-factorial action of increased climate continentality and of river dynamics. According to teleconnections with the Atlantic and Arctic framework of the stadial-interstadial climate variability, the age and pattern of this event are consistent with the onset of Heinrich Stadial 3, causing a lockdown of moist westerlies and of their Rossby waves in the W-Mediterranean. (C) 2020 Elsevier B.V. All rights reserved." . "application/ld+json" . . "https://w3id.org/ro-id/f0b9d343-156c-46e2-aa72-efb121a12265" . . "Birch-sedge communities, forest withdrawal and flooding at the beginning of Heinrich Stadial 3 at the southern Alpine foreland" . "MANUAL" . . . . . . "Foglini, Federica. \"Birch-sedge communities, forest withdrawal and flooding at the beginning of Heinrich Stadial 3 at the southern Alpine foreland.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/f0b9d343-156c-46e2-aa72-efb121a12265." . . "284"^^ . "https://api.rohub.org/api/resources/7ba72c0c-694e-464a-b488-342c736d7c0e/download/" . . "2021-12-10 10:07:09.858283+00:00" . "2021-12-10 10:07:09.859316+00:00" . "The southern Alpine foreland, facing windward to moist southern airmasses, is daimed to have supported forest vegetation throughout the Last Glaciation. Here we present a multiproxy paleoecological record from a compressed peat, uncovered at Casaletto Ceredano, N-Italy, spanning the interval from 33 to 30.5 kyr cal BP. Stratigraphically, it underlies a fluvioglacial belt attributed to the Last Glacial Maximum.The peat records a floodplain swamp community with tree birch and tall sedges, pine woodlands in upland areas, and only limited patches of open vegetation. Plant macrofossils - bark, charcoal, wood and fruits - establish the predominant role of Betulu pubescens group (downy birch) in the anoxic wetland, thanks to its ability to enhance gas exchange through a distinctive type of bark lenticels. A fire-induced birch-to-pine cyde is repeated twice along the 2500 years-time span covered by the peat layer. The climate reconstructed from modern pollen analogs compares to northern boreal zone, with Tjuly <15 degrees C, excluding warm-temperate trees. A major flood sealing the swamp with minerogenic silt is precisely dated to 30,497 +/- 594 yr cal BP (2 sigma uncertainty). Here, the pollen record shows a substantial forest withdrawal, and development of grasslands and semideserts, pointing to co-factorial action of increased climate continentality and of river dynamics. According to teleconnections with the Atlantic and Arctic framework of the stadial-interstadial climate variability, the age and pattern of this event are consistent with the onset of Heinrich Stadial 3, causing a lockdown of moist westerlies and of their Rossby waves in the W-Mediterranean. (C) 2020 Elsevier B.V. All rights reserved." . "text/plain" . . "Birch-sedge communities, forest withdrawal and flooding at the beginning of Heinrich Stadial 3 at the southern Alpine foreland" . "2021-12-10 10:07:09.858283+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:43:22.319+01:00"^^ . . . . "Birch-sedge communities, forest withdrawal and flooding at the beginning of Heinrich Stadial 3 at the southern Alpine foreland" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "d2cv7MwdYJwnwWq9nhiNNgtslW4ZThIt8gSh3J3IY5mP3PravhDBiVWBmSzvul2QjKu39xM8rBW9IXbRRJaZy+3tFZX4ofFOjrqD4SwcTGAAqSKZHRoiQvRkl1JCSvZd3gVbDyNYGXomzn+WfRrpk/ge0BDpclbZ54WEz+bzjNPEF2Dzjpk8ziwrNCDn7hInOKrnIq9056wwVvdB/o0WW9sOi7/whuKTNJrTQeYpEvlM73KgsCnfuZWVUWS82R9vgdLAh4yT6wm2l8DVaErGq4/u8HBnNq4oMxXR1WPnl4WTYCMJ+ds/BRfv73WFpyQBE2amVtqXTRL7WqvevWBEuQ==" . . . . . . . "" . "Medical science" . . . "psychology" . . "Stress-induced increase" . . "induced increase of spatial Pseudoneglect" . . "neglect increment" . . "lockdown in Italy" . . "effects of lockdown" . . "testing session" . . "anatomy" . . "medicine" . . "health" . . "pandemic" . . "stress" . . "asymmetry" . . "testing" . . "result" . . "cancel" . . "induced increase" . . "cognition" . "COVID-19 Student Stress Scale" . . "Radial Arm Maze" . . . "session" . . "coping" . . "increase of spatial Pseudoneglect" . . "lockdown" . . "negligence" . . "left hemisphere" . . "right brain" . . "rise" . . "left" . . "conclusion lockdown-related stress" . . "Italy" . . "South Dakota" . . "Somma" . . "spatial Pseudoneglect" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . "6825"^^ . "https://api.rohub.org/api/ros/e2c753f3-255f-4f6a-9547-43166aa457dd/crate/download/" . . "2021-12-10 10:07:12.582298+00:00" . "2025-03-05 00:59:09.610730+00:00" . "2021-12-10 10:07:12.582298+00:00" . "Background The measures taken to contain the coronavirus disease 2019 (COVID-19) pandemic, such as the lockdown in Italy, do impact psychological health; yet, less is known about their effect on cognitive functioning. The transactional theory of stress predicts reciprocal influences between perceived stress and cognitive performance. However, the effects of a period of stress due to social isolation on spatial cognition and exploration have been little examined. The aim of the present study was to investigate the possible effects and impact of the COVID-19 pandemic on spatial cognition tasks, particularly those concerning spatial exploration, and the physiological leftward bias known as pseudoneglect. A right-hemisphere asymmetry for spatial attention processes crucially contributes to pseudoneglect. Other evidence indicates a predominantly right-hemisphere activity in stressful situations. We also analyzed the effects of lockdown on coping strategies, which typically show an opposite pattern of hemispheric asymmetry, favoring the left hemisphere. If so, then pseudoneglect should increase during the lockdown and be negatively correlated with the efficacy of coping strategies. Methods One week before the start of the lockdown due to COVID-19 in Italy (T1), we had collected data from a battery of behavioral tests including tasks of peri-personal spatial cognition. During the quarantine period, from late April to early May 2020 (T2), we repeated the testing sessions with a subgroup of the same participants (47 right-handed students, mean age = 20, SD = 1.33). At both testing sessions, participants performed digitized neuropsychological tests, including a Cancellation task, Radial Arm Maze task, and Raven's Advanced Progressive Matrices. Participants also completed a newly developed COVID-19 Student Stress Scale, based on transactional models of stress, and the Coping Orientation to Problems Experienced-New Italian Version (COPE-NIV) to assess coping orientation. Results The tendency to start cancelation from a left-sided item, to explore first a left-sided arm of the maze, and to choose erroneous response items on the left side of the page on Raven's matrices increased from T1 to T2. The degree of pseudoneglect increment positively correlated with perceived stress and negatively correlated with Positive Attitude and Problem-Solving COPE-NIV subscales. Conclusion Lockdown-related stress may have contributed to increase leftward bias during quarantine through a greater activation of the right hemisphere. On the other hand, pseudoneglect was decreased for better coping participants, perhaps as a consequence of a more balanced hemispheric activity in these individuals." . "application/ld+json" . . "https://w3id.org/ro-id/e2c753f3-255f-4f6a-9547-43166aa457dd" . . "Further to the Left: Stress-Induced Increase of Spatial Pseudoneglect During the COVID-19 Lockdown" . "MANUAL" . . . . . . "Foglini, Federica. \"Further to the Left: Stress-Induced Increase of Spatial Pseudoneglect During the COVID-19 Lockdown.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/e2c753f3-255f-4f6a-9547-43166aa457dd." . . "246"^^ . "https://api.rohub.org/api/resources/77f060ce-4b26-495f-a2b1-09e7bc2a3e8b/download/" . . "2021-12-10 10:07:14.828890+00:00" . "2021-12-10 10:07:14.830768+00:00" . "Background The measures taken to contain the coronavirus disease 2019 (COVID-19) pandemic, such as the lockdown in Italy, do impact psychological health; yet, less is known about their effect on cognitive functioning. The transactional theory of stress predicts reciprocal influences between perceived stress and cognitive performance. However, the effects of a period of stress due to social isolation on spatial cognition and exploration have been little examined. The aim of the present study was to investigate the possible effects and impact of the COVID-19 pandemic on spatial cognition tasks, particularly those concerning spatial exploration, and the physiological leftward bias known as pseudoneglect. A right-hemisphere asymmetry for spatial attention processes crucially contributes to pseudoneglect. Other evidence indicates a predominantly right-hemisphere activity in stressful situations. We also analyzed the effects of lockdown on coping strategies, which typically show an opposite pattern of hemispheric asymmetry, favoring the left hemisphere. If so, then pseudoneglect should increase during the lockdown and be negatively correlated with the efficacy of coping strategies. Methods One week before the start of the lockdown due to COVID-19 in Italy (T1), we had collected data from a battery of behavioral tests including tasks of peri-personal spatial cognition. During the quarantine period, from late April to early May 2020 (T2), we repeated the testing sessions with a subgroup of the same participants (47 right-handed students, mean age = 20, SD = 1.33). At both testing sessions, participants performed digitized neuropsychological tests, including a Cancellation task, Radial Arm Maze task, and Raven's Advanced Progressive Matrices. Participants also completed a newly developed COVID-19 Student Stress Scale, based on transactional models of stress, and the Coping Orientation to Problems Experienced-New Italian Version (COPE-NIV) to assess coping orientation. Results The tendency to start cancelation from a left-sided item, to explore first a left-sided arm of the maze, and to choose erroneous response items on the left side of the page on Raven's matrices increased from T1 to T2. The degree of pseudoneglect increment positively correlated with perceived stress and negatively correlated with Positive Attitude and Problem-Solving COPE-NIV subscales. Conclusion Lockdown-related stress may have contributed to increase leftward bias during quarantine through a greater activation of the right hemisphere. On the other hand, pseudoneglect was decreased for better coping participants, perhaps as a consequence of a more balanced hemispheric activity in these individuals." . "text/plain" . . "Further to the Left: Stress-Induced Increase of Spatial Pseudoneglect During the COVID-19 Lockdown" . "2021-12-10 10:07:14.828890+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:43:20.956+01:00"^^ . . . . "Further to the Left: Stress-Induced Increase of Spatial Pseudoneglect During the COVID-19 Lockdown" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "lhAq3vIaTdS2D3is/HT6EfnsGS8lDc+QQEz9f2DbXYldv36EpdFOLP+D7R6zouY8rIq7a7x4Qh1NjcILj83aiBs+wdOriZO5xC2rlLwJscCSJAu5i7davucuyU9y73IybFv8nZshZ47mUffRrK03R5cKAEesEcOUJUTcFcjijaaQDG3wEImgo8hnoRnJ8gBVqRXogl3PPxurvoOVrPhq9OPVdxmdnLX0mP8eSZ0djqInUR+3NFOPjrfhzF5wcSXRe+5IKpednCMM0G8OLU+Cdy/ngNk06MA5gwCjJ7nv2C0zI0qV/A/8PgScuf/hLiYMkgz+3kyAcSnWYhzxJJG2IQ==" . . . . . . . "" . "Medical science" . . . "psychology" . . "stress single-photon emission computed tomography" . . "study period" . . "effects of the COVID-19 pandemic" . . "perfusion imaging" . . "Mediterranean Sea" . . "myocardial perfusion imaging" . . "number of procedure" . . "A. Effects of the COVID-19 pandemic" . . "medicine" . . "percentage" . . "pandemic" . . "stress" . . "imaging" . . "single photon emission computed tomography" . . "perfusion" . . "system" . . "result" . . "Mediterranean Sea" . . "cardiology" . . "imaging" . . "imaging for ischemic heart disease" . . "finding" . . "Mol. imaging 2021" . . "number" . . "ischemic heart disease" . . "report" . "University of Napoli Federico II" . . . "stress SPECT-MPI study" . . "Nappi" . . "myocardial" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . "5523"^^ . "https://api.rohub.org/api/ros/0423aa4d-8fe6-47c3-97a5-38f0fef60808/crate/download/" . . "2021-12-10 10:07:17.462613+00:00" . "2025-03-05 00:57:47.085535+00:00" . "2021-12-10 10:07:17.462613+00:00" . "Purpose We assessed the effects of the COVID-19 pandemic on myocardial perfusion imaging (MPI) for ischemic heart disease during the lockdown imposed by the Italian Government. Methods We retrospectively reviewed the number and the findings of stress single-photon emission computed tomography (SPECT)-MPI performed between February and May 2020 during the COVID-19 pandemic at the University of Napoli Federico II. The number and the findings of stress SPECT-MPI studies acquired in the corresponding months of the years 2017, 2018, and 2019 were also evaluated for direct comparison. Results The number of stress SPECT-MPI studies performed during the COVID-19 pandemic (n = 123) was significantly lower (P < 0.0001) compared with the mean yearly number of procedures performed in the corresponding months of the years 2017, 2018, and 2019 (n = 413). Yet, the percentage of abnormal stress SPECT-MPI studies was similar (P = 0.65) during the pandemic (36%) compared with the mean percentage value of the corresponding period of the years 2017, 2018, and 2019 (34%). Conclusion The number of stress SPECT-MPI studies was significantly reduced during the COVID-19 pandemic compared with the corresponding months of the previous 3 years. The lack of difference in the prevalence of abnormal SPECT-MPI studies between the two study periods strongly suggests that many patients with potentially abnormal imaging test have been missed during the pandemic." . "application/ld+json" . . "https://w3id.org/ro-id/0423aa4d-8fe6-47c3-97a5-38f0fef60808" . . "Effects of the COVID-19 pandemic on myocardial perfusion imaging for ischemic heart disease" . "MANUAL" . . . . . . "Foglini, Federica. \"Effects of the COVID-19 pandemic on myocardial perfusion imaging for ischemic heart disease.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/0423aa4d-8fe6-47c3-97a5-38f0fef60808." . . "297"^^ . "https://api.rohub.org/api/resources/45738cd1-06a7-495a-a8f9-d2a057422c55/download/" . . "2021-12-10 10:07:20.180596+00:00" . "2021-12-10 10:07:20.181578+00:00" . "Purpose We assessed the effects of the COVID-19 pandemic on myocardial perfusion imaging (MPI) for ischemic heart disease during the lockdown imposed by the Italian Government. Methods We retrospectively reviewed the number and the findings of stress single-photon emission computed tomography (SPECT)-MPI performed between February and May 2020 during the COVID-19 pandemic at the University of Napoli Federico II. The number and the findings of stress SPECT-MPI studies acquired in the corresponding months of the years 2017, 2018, and 2019 were also evaluated for direct comparison. Results The number of stress SPECT-MPI studies performed during the COVID-19 pandemic (n = 123) was significantly lower (P < 0.0001) compared with the mean yearly number of procedures performed in the corresponding months of the years 2017, 2018, and 2019 (n = 413). Yet, the percentage of abnormal stress SPECT-MPI studies was similar (P = 0.65) during the pandemic (36%) compared with the mean percentage value of the corresponding period of the years 2017, 2018, and 2019 (34%). Conclusion The number of stress SPECT-MPI studies was significantly reduced during the COVID-19 pandemic compared with the corresponding months of the previous 3 years. The lack of difference in the prevalence of abnormal SPECT-MPI studies between the two study periods strongly suggests that many patients with potentially abnormal imaging test have been missed during the pandemic." . "text/plain" . . "Effects of the COVID-19 pandemic on myocardial perfusion imaging for ischemic heart disease" . "2021-12-10 10:07:20.180596+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:43:19.615+01:00"^^ . . . . "Effects of the COVID-19 pandemic on myocardial perfusion imaging for ischemic heart disease" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "VxWyY1v59T1/EAwrIos2p+OF6htGjmmuOqQGZeAdCLXqbnJDMT04RB7nXDRIO7UO7nsdPMAejVSXWE28JebAh2iw1jAspEdUXtxWa6JFJQdM3hgdQXmTZE5g4luNIpTfg0pu2AId/erxE7UNxqbZ2Gn9WM3ccPBk0XvR3aJ1atfSJVosUmYxAHT6Tu6RGe/FzbWvXYiBRu9uq7kTe3mk7CFjKqcWlCMRy8ZQdRRRd7JsfUhXgFH63pDM4BCaOcsWcKpLZdW6O6FjvzqjS8a4b3FV3PB4nEpuatzYffXXG50qwD4Hgw6OOnbIy0HuZ2i9Q/OwqRNzzA8gGs1FU2mjWg==" . . . . . . . "" . "Medical science" . . . "G. spatiotemporal analysis" . . "volume 13" . . "incidence data" . . "mathematics" . . "parametric data modeling" . . "spatiotemporal analysis" . "Journal of geophysical research. Biogeosciences" . . . "medicine" . . "statistics" . . "book" . . "analyzation" . . "research" . . "data" . . "dynamics" . . "dataset" . . "effectiveness" . . "system" . . "issue 3" . . "mathematical analysis" . "Sebastiani" . . . "understanding" . . "Spassiani" . . "spatiotemporal statistical analysis" . . "Venetia" . "Palu" . . . "issue" . . "statistical analysis" . . "information" . . "novel methodology" . . "incidence" . . "decision" . . "Italy" . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "service-account-enrichment" . . . . "4647"^^ . "https://api.rohub.org/api/ros/56ee1bf1-115d-4e17-a33d-4cb4d37d596b/crate/download/" . . "2021-12-10 10:07:23.364596+00:00" . "2025-03-05 01:19:14.514021+00:00" . "2021-12-10 10:07:23.364596+00:00" . "(1) Background: A better understanding of COVID-19 dynamics in terms of interactions among individuals would be of paramount importance to increase the effectiveness of containment measures. Despite this, the research lacks spatiotemporal statistical and mathematical analysis based on large datasets. We describe a novel methodology to extract useful spatiotemporal information from COVID-19 pandemic data. (2) Methods: We perform specific analyses based on mathematical and statistical tools, like mathematical morphology, hierarchical clustering, parametric data modeling and non-parametric statistics. These analyses are here applied to the large dataset consisting of about 19,000 COVID-19 patients in the Veneto region (Italy) during the entire Italian national lockdown. (3) Results: We estimate the COVID-19 cumulative incidence spatial distribution, significantly reducing image noise. We identify four clusters of connected provinces based on the temporal evolution of the incidence. Surprisingly, while one cluster consists of three neighboring provinces, another one contains two provinces more than 210 km apart by highway. The survival function of the local spatial incidence values is modeled here by a tapered Pareto model, also used in other applied fields like seismology and economy in connection to networks. Model's parameters could be relevant to describe quantitatively the epidemic. (4) Conclusion: The proposed methodology can be applied to a general situation, potentially helping to adopt strategic decisions such as the restriction of mobility and gatherings." . "application/ld+json" . . "https://w3id.org/ro-id/56ee1bf1-115d-4e17-a33d-4cb4d37d596b" . . "Spatiotemporal Analysis of COVID-19 Incidence Data" . "MANUAL" . . . . . . "Foglini, Federica. \"Spatiotemporal Analysis of COVID-19 Incidence Data.\" ROHub. Dec 10 ,2021. https://w3id.org/ro-id/56ee1bf1-115d-4e17-a33d-4cb4d37d596b." . . "130"^^ . "https://api.rohub.org/api/resources/c734192a-9dc2-4ea9-971a-18e99d6ea048/download/" . . "2021-12-10 10:07:26.094439+00:00" . "2021-12-10 10:07:26.095871+00:00" . "(1) Background: A better understanding of COVID-19 dynamics in terms of interactions among individuals would be of paramount importance to increase the effectiveness of containment measures. Despite this, the research lacks spatiotemporal statistical and mathematical analysis based on large datasets. We describe a novel methodology to extract useful spatiotemporal information from COVID-19 pandemic data. (2) Methods: We perform specific analyses based on mathematical and statistical tools, like mathematical morphology, hierarchical clustering, parametric data modeling and non-parametric statistics. These analyses are here applied to the large dataset consisting of about 19,000 COVID-19 patients in the Veneto region (Italy) during the entire Italian national lockdown. (3) Results: We estimate the COVID-19 cumulative incidence spatial distribution, significantly reducing image noise. We identify four clusters of connected provinces based on the temporal evolution of the incidence. Surprisingly, while one cluster consists of three neighboring provinces, another one contains two provinces more than 210 km apart by highway. The survival function of the local spatial incidence values is modeled here by a tapered Pareto model, also used in other applied fields like seismology and economy in connection to networks. Model's parameters could be relevant to describe quantitatively the epidemic. (4) Conclusion: The proposed methodology can be applied to a general situation, potentially helping to adopt strategic decisions such as the restriction of mobility and gatherings." . "text/plain" . . "Spatiotemporal Analysis of COVID-19 Incidence Data" . "2021-12-10 10:07:26.094439+00:00" . . . . . . "service-account-generation-service" . . . "2026-03-03T16:43:18.236+01:00"^^ . . . . "Spatiotemporal Analysis of COVID-19 Incidence Data" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "dK4yBM4fZiArRIT5+vxTFe73HSMqsnJPueyUp5xLxWQqKhoeR0sQZiGyJsxS5Z1//4CzyNrDPOT9V9mkUwH+Go6uM4q+x0F5CgrkvBK3W4FKYiljuXDrCbvgMtxeI9BpwkDVc8hzTO5quRmgr3tzF/rwDqOoj8XpHScdRR1y0cgZJOLtTnyc7AezJDWW1yB/2q9eahxw+UAVp5Nrh/TvvfxLK/1RdzTRSbqTR75pNfXeg+9UCGk+y2n8Z959C2ZLOYTvIHw1gCa4a5Xf//RTa7S2SIE1yFgHoVlwYrSfOc4pFIupoJaoOWjN76doxYdIBIEZxfrIK/gT61G7qlEPvQ==" . . . . . . . "" . "Earth sciences" . . . "noise data" . . "15.040183696900115" . "13.1" . "sound pressure level" . . "10.082644628099173" . "6.1" . "sound pressure" . . "10.24793388429752" . "6.2" . "Newspaper" . . "Arts, culture and entertainment/Mass media/Newspaper" . "This RO provides the Jupyter notebook used to process the Sound Pressure Levels, SPL, data obtained within the Soundscape Project - SOUNDSCAPES IN THE NORTH ADRIATIC SEA AND THEIR IMPACT ON MARINE BIOLOGICAL RESOURCES (https://www.italy-croatia.eu/web/soundscape) where more of 1 year of continuos underwater noise data (march 2020 - june 2021) were recorded." . . "42.08416833667335" . "42.0" . "Ro" . . "8.099173553719009" . "4.9" . "acoustics" . . "16.379310344827587" . "3.8" . "Adriatic Sea" . . "8.264462809917354" . "5.0" . "computer science" . . "44.827586206896555" . "10.4" . "information" . . "11.074380165289256" . "6.7" . 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"service-account-enrichment" . . "https://w3id.org/ro-id/7b86ece5-b588-416b-9c98-30bb63a5b9bc" . . . . . . . "14303279"^^ . "https://api.rohub.org/api/ros/3f68f32e-1b6d-4689-acee-b797ba2c8429/crate/download/" . . "2021-12-13 16:00:05.573722+00:00" . "2025-03-05 01:19:11.866349+00:00" . "2021-12-13 16:00:05.573722+00:00" . "This RO provides the Jupyter notebook used to process the Sound Pressure Levels, SPL, data obtained within the Soundscape Project - SOUNDSCAPES IN THE NORTH ADRIATIC SEA AND THEIR IMPACT ON MARINE BIOLOGICAL RESOURCES (https://www.italy-croatia.eu/web/soundscape) where more of 1 year of continuos underwater noise data (march 2020 - june 2021) were recorded. SPL data were calculated from wav data recorded by Develogic SonoVault Hydrophones (https://w3id.org/ro-id/6640422d-57ed-4814-b0d0-8eb4ee85f501)." . "application/ld+json" . . . . . . "https://w3id.org/ro-id/3f68f32e-1b6d-4689-acee-b797ba2c8429" . "Underwater Noise, SPLs, Soundscape" . . "Sound Pressure Levels Post Processing within the Soundscape project" . . "MANUAL" . "https://w3id.org/ro-id/3f68f32e-1b6d-4689-acee-b797ba2c8429/06c1a003-8c2a-40c2-b115-820fbb33d5c0" . . . . . "https://w3id.org/ro-id/2f20fcaa-42c9-48d8-ab3a-c8acd44d1e28" . "https://w3id.org/ro-id/3674dda1-dd88-478b-9c2e-53d00704bc12" . "https://w3id.org/ro-id/bd501fb1-f573-4803-a7b7-a6c495c2286c" . "https://w3id.org/ro-id/c5092ae1-e3bb-488f-89a5-3b2d01489262" . "https://w3id.org/ro-id/649a5869-ff6c-48bd-8132-a39007bac527" . "https://w3id.org/ro-id/0fbc4d6a-e4a3-4777-8e4b-1a585bf40944" . "https://w3id.org/ro-id/11e45088-ae36-428e-a461-d62ccbb7f815" . "https://w3id.org/ro-id/25fd6b8d-14a1-4fdf-97d8-8b22a05da0cb" . "https://w3id.org/ro-id/30602e3f-185c-4bba-bc22-61b5f8552751" . "https://w3id.org/ro-id/389f8b2e-6820-4fa1-a0c8-c58e7aad46d4" . "https://w3id.org/ro-id/779ae693-ccb2-4c28-ae7a-ad6be816f650" . "https://w3id.org/ro-id/81c0aef3-4e77-427a-a19f-d2085fa658b0" . "https://w3id.org/ro-id/ace49971-f483-4248-922c-a15769b99d77" . "https://w3id.org/ro-id/ed2c5977-510e-49e6-aa27-8138e1b247e6" . "https://w3id.org/ro-id/f3c1a1c2-f3e9-4c78-903e-f01219bbbfc7" . "https://w3id.org/ro-id/877e343f-4d77-491d-8c06-f325544d3efa" . "https://w3id.org/ro-id/b0c78366-5e8a-4a8c-8191-6e99eed32373" . "https://w3id.org/ro-id/12b644a7-467a-4873-a0ac-768b6e9af758" . "https://w3id.org/ro-id/848db731-4319-487b-913b-6333c609dbbe" . "https://w3id.org/ro-id/96ea8b56-8dae-4128-a148-3bda457bea6a" . "https://w3id.org/ro-id/b3004080-0b1a-46a1-aa09-333cbee58682" . "https://w3id.org/ro-id/55d91882-14ad-4aef-81e6-1701556e5042" . "https://w3id.org/ro-id/5e9cc950-49df-4609-8b24-e10745d6aedc" . "https://w3id.org/ro-id/b9c67d2a-451d-44f3-9315-279fd7f1b5a7" . "https://w3id.org/ro-id/c1f9855e-a2b3-4d57-b2ed-8402d7c62917" . "https://w3id.org/ro-id/d01ffc2e-0f9f-437c-85c0-841ac593b326" . "https://w3id.org/ro-id/d2492db4-2ec1-485c-8702-626789fad68f" . "https://w3id.org/ro-id/d7e10bba-22f6-43c1-8d42-4d9a750d5448" . "https://w3id.org/ro-id/7dbbf907-6f28-40d1-802a-1f2638ae38db" . "https://w3id.org/ro-id/a05f5f10-b881-4575-aca2-5cb9c48f7aa7" . "https://w3id.org/ro-id/08dfc44f-c145-44e3-83c5-fd4faf4bae78" . "https://w3id.org/ro-id/782d497a-fceb-43b4-8289-487ce25f9ba7" . "https://w3id.org/ro-id/aea918d6-376e-4598-8f25-898875ca69d3" . "https://w3id.org/ro-id/d2b17193-8158-462b-ade0-9e272b97bc30" . "https://w3id.org/ro-id/e160338e-ad32-4f76-94af-5a0212c27f7f" . "https://w3id.org/ro-id/18baa18a-3d16-4924-84a3-8915e6ac3bc3" . "https://w3id.org/ro-id/c860026c-0561-47c0-a408-fd280b1e1ffc" . "https://w3id.org/ro-id/e1ff0de8-4ed6-4087-8bee-510faa65a2ed" . "https://w3id.org/ro-id/441c8151-f9c0-451f-9f74-69bf37c66576" . "https://w3id.org/ro-id/a2687f4b-2e9e-4b78-a52b-c22e3aae3201" . "Petrizzo, Antonio, Fantina Madricardo, Marta Picciulin, and Michol Ghezzo. \"Sound Pressure Levels Post Processing within the Soundscape project.\" ROHub. Dec 13 ,2021. https://w3id.org/ro-id/3f68f32e-1b6d-4689-acee-b797ba2c8429." . "Here some results" . . "results" . . . "Here some information" . . . . "metadata" . . . "Jupyter notebooks here" . . . "notebook" . . . "data input" . . . "input" . . . . "1628249"^^ . "https://api.rohub.org/api/resources/01899869-a5a8-48c0-980f-d304eaa51b26/download/" . . "2022-07-05 12:44:30.318843+00:00" . "2022-07-05 12:44:34.124435+00:00" . "Map of stations with their coordinates" . "image/png" . . "Stations map" . "2022-07-05 12:44:30.318843+00:00" . . . . . "https://notebooks.egi.eu/user/da47d3640f619a02cb075c15d288fc09e053bf46b90d26ec335392acdfae866b@egi.eu/doc/tree/datahub/Reliance/Soundscape/SPL_PostProcessing_HDF5.ipynb" . . "2022-07-06 15:19:37.054357+00:00" . "2022-12-19 13:57:22.861507+00:00" . "Link to open the file in Notebooks, an environment based on Jupyter and the EGI cloud service: It allows to post process spl data and to create graphs/tables. A valid EGI account is required." . . "Jupyter notebook for SPLs processing" . "2022-07-06 15:19:37.054357+00:00" . . . . . "3034992"^^ . "https://api.rohub.org/api/resources/391ec38c-80e9-4b6a-bedb-e2d1c6096cc0/download/" . . "2022-07-05 12:33:28.328984+00:00" . "2022-07-06 15:15:38.306210+00:00" . "Some examples of output files" . "application/zip" . . "Some examples of output files" . "2022-07-05 12:33:28.328984+00:00" . . . . . "5833087"^^ . "https://api.rohub.org/api/resources/3e6b9429-3e1b-43f7-96e7-b113e269a9cb/download/" . . "2022-07-06 10:25:59.163869+00:00" . "2022-12-19 13:58:32.793859+00:00" . "The Jupyter notebook used to post process spl data and to create graphs/tables." . "application/zip" . . "Jupyter notebook for processing SPL data." . "2022-07-06 10:25:59.163869+00:00" . . . . . "https://underwaternoise.ices.dk/continuous" . . "2022-07-05 12:42:32.932255+00:00" . "2022-07-05 12:42:33.578063+00:00" . "Continuous Noise Database (https://underwaternoise.ices.dk/continuous), 2022. ICES, Copenhagen" . . "Format of input file" . "2022-07-05 12:42:32.932255+00:00" . . . . . "1095417"^^ . "https://api.rohub.org/api/resources/5cc44fb0-e5b5-43cd-9545-42d4d73a1331/download/" . . "2022-07-06 15:07:05.061088+00:00" . "2022-07-06 15:07:07.414275+00:00" . "image/png" . . "workflowPostProcessing.png" . "2022-07-06 15:07:05.061088+00:00" . . . . . "4863608"^^ . "https://api.rohub.org/api/resources/7dcb955b-b147-42e3-a618-24135bccf73b/download/" . . "2022-07-05 12:05:48.435779+00:00" . "2022-07-06 15:18:46.856004+00:00" . "Example of SPL input file. HDF5 format, according to to ICES (International Council for the Exploration of the Sea) continuous noise data portal specification (https://www.ices.dk/data/data-portals/Pages/Continuous-Noise.aspx)." . . "Example of SPL input file" . "2022-07-05 12:05:48.435779+00:00" . . . . . "https://www.italy-croatia.eu/web/soundscape" . . "2022-07-06 10:06:13.532986+00:00" . "2022-07-06 10:06:14.585274+00:00" . "EU-Interreg Italy-Croatia 2014/2020 – CBC Program (Contract number 10043643)" . . "Soundscape Project" . "2022-07-06 10:06:13.532986+00:00" . . . . . "https://doi.org/10.5281/zenodo.6653258" . . "2022-07-05 12:52:22.146283+00:00" . "2022-12-21 13:28:01.729449+00:00" . "Full SPL dataset is located in Zenodo" . . "Full SPL dataset" . "2022-07-05 12:52:22.146283+00:00" . . . . . . . "Mar-2020 - Jun-2021" . . "soundscape" . . "11.111111111111112" . "6.7" . "sound pressure level" . . "10.447761194029852" . "6.3" . "Adriatic Sea" . . "https://www.wikidata.org/wiki/Q13924" . "hydrophone" . . "5.785123966942149" . "3.5" . "sound pressure Levels Post" . . "11.940298507462687" . "10.4" . "False" . "https://w3id.org/ro-id/3f68f32e-1b6d-4689-acee-b797ba2c8429" . "2022-07-06 15:27:15.164812+00:00" . "https://w3id.org/ro-id/users/antonio.petrizzo%40ve.ismar.cnr.it" . . . "life sciences (general)" . . "100.0" . "0.35060247778892517" . "AND" . . "6.446280991735537" . "3.9" . "Language" . . "Arts, culture and entertainment/Culture/Language" . "atmospheric sciences" . . "100.0" . "0.6904757022857666" . "Biology" . . "Science and technology/Natural science/Biology" . "life sciences" . . "100.0" . "0.35060247778892517" . "of 1 year" . . "soundscape" . . "10.743801652892563" . "6.5" . "SPL data" . . "46.84270952927669" . "40.8" . "earth sciences" . . "100.0" . "0.6904757022857666" . "Hardware" . . "Economy, business and finance/Economic sector/Computing and information technology/Hardware" . "http" . . "8.955223880597016" . "5.4" . "database" . . "21.982758620689655" . "5.1" . "data" . . "20.729684908789388" . "12.5" . "physics" . . "16.810344827586206" . "3.9" . "SPL data were calculated from wav data recorded by Develogic SonoVault Hydrophones (https://w3id.org/ro-id/6640422d-57ed-4814-b0d0-8eb4ee85f501)" . . "44.48897795591183" . "44.4" . "Jupyter notebook" . . "12.769485903814262" . "7.7" . "SPL" . . "23.383084577114428" . "14.1" . "soundscapes in the North Adriatic sea" . . "7.921928817451206" . "6.9" . "Soundscape Project" . . "12.603648424543948" . "7.6" . "Develogic SonoVault hydrophone" . . "18.2548794489093" . "15.9" . "Sound Pressure Levels Post Processing within the Soundscape project." . . "13.42685370741483" . "13.4" . "data" . . "20.49586776859504" . "12.4" . "http" . . "8.760330578512397" . "5.3" . "CNR ISMAR Venice" . "antonio.petrizzo@ve.ismar.cnr.it" . "Antonio Petrizzo" . . "direttore@ismar.cnr.it" . "CNR-ISMAR" . . "CNR ISMAR" . "fantina.madricardo@ve.ismar.cnr.it" . "Fantina Madricardo" . . "CNR ISMAR" . "marta.picciulin@ve.ismar.cnr.it" . "Marta Picciulin" . . "CNR ISMAR" . "michol.ghezzo@ve.ismar.cnr.it" . "Michol Ghezzo" . . . "2026-03-03T16:43:16.741+01:00"^^ . . . . "Sound Pressure Levels Post Processing within the Soundscape project" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "SbSeX0VKSkUQAvTAMQEp4lDjOMzNPttLxdne+kLG1IzyRnC9VCDyJb0/w5QUrd82qTwSsGCOf1lXg0kVOGZPU8YnMh73Qtk4Mi5370XEoHzSMOX2xnCRRLMh5Uja+FEtJuoWgg+cC3btgR1HBpU2e23VkrbmpKBa8Xk9ZiAaVQ3sIPPoMTUnqMIZWMKBUAnH2sCbPoYZV5tK12Rzyedn7vPztiZuLLX4Ivx777HxCDu3sLwbyVmGAxY/AxAi15Q0WW4OW+baQgZq1oYm5aFgYdFBnWUXUbfq7XL4yaeuEBhWViZbYpWFm2cFqb3Xq1X/5ODSws5Lga4IZbVe8IZ5gQ==" . . . . . . . "" . "Earth sciences" . . . "aerospace engineering" . . "subset satellite data" . . "data cube" . . "download satellite data" . . "research" . . "Adam" . . "subset" . . "data cube from the Adam platform" . . "aim" . "Giorgio Castellan" . . "Valentina Grande" . . "service-account-enrichment" . . . . "375624"^^ . "https://api.rohub.org/api/ros/34d648b3-0014-4a19-8469-40b9380ca4c3/crate/download/" . . . "2021-12-14 09:50:09.833282+00:00" . "2025-03-05 00:47:49.415599+00:00" . "2021-12-14 09:50:09.833282+00:00" . "This Research Object demonstrate how to discover, subset and download satellite data stored in a Data Cube from the ADAM Platform" . "application/ld+json" . . . . . . "https://w3id.org/ro-id/34d648b3-0014-4a19-8469-40b9380ca4c3" . . "Discover and subset satellite data from the ADAM Platform" . "MANUAL" . . . . . . "Castellan, Giorgio, Valentina Grande, and Valentina Grande. \"Discover and subset satellite data from the ADAM Platform.\" ROHub. Dec 14 ,2021. https://w3id.org/ro-id/34d648b3-0014-4a19-8469-40b9380ca4c3." . . "input" . . . "biblio" . . . "output" . . . . . "tool" . . . . "https://w3id.org/ro-id/894d3a33-8340-497d-beaf-5b9d85c9bfc7" . . "2021-12-14 09:53:22.621865+00:00" . "2021-12-14 09:53:22.622327+00:00" . "Satellite data on water clarity in the Venice Lagoon during the COVID 19 lockdown" . . "Satellite data on water clarity in the Venice Lagoon during the COVID 19 lockdown" . "2021-12-14 09:53:22.621865+00:00" . . . . . "https://notebooks.egi.eu/user/b285232f8bf5dc90b023ebc0c44ea0e0b883a51043a5c57b1d43b522a25548c9@egi.eu/lab/tree/datahub/Reliance/SatelliteDataVeniceLagoon/RO_Scenario%204%20%E2%80%9CAnalysis%20from%20satellite%20data%20%E2%80%93%20Environmental%20monitoring%20from%20space%E2%80%9D.ipynb" . . "2022-02-25 12:50:56.148874+00:00" . "2022-02-25 13:58:49.651309+00:00" . "Jupyter Notebook for discovering, accessing and processing and visualizing RELIANCE data cube of Chl-a and Kd490" . . "Retrieve and visualize satellite data on Chl-a and Kd490 extracted from ADAM Platform" . "2022-02-25 12:50:56.148874+00:00" . . . . . "156145"^^ . "https://api.rohub.org/api/resources/750bb6dc-081f-4bd0-9fe0-9ed5b4774289/download/" . . "2022-02-25 15:06:01.447041+00:00" . "2022-02-25 15:06:08.312874+00:00" . "Retrieve and visualize satellite data on Chl-a and Kd490 extracted from ADAM Platform TEST" . . "Retrieve and visualize satellite data on Chl-a and Kd490 extracted from ADAM Platform TEST" . "2022-02-25 15:06:01.447041+00:00" . . . . . "320980"^^ . "https://api.rohub.org/api/resources/e98a0571-f002-460e-9c59-c45fec720572/download/" . . "2021-12-14 10:32:45.827889+00:00" . "2021-12-14 10:32:45.829067+00:00" . "image/jpeg" . . "Schematic illustration of ADAM Platform Data Cube exploration and use" . "2021-12-14 10:32:45.827889+00:00" . . . . . . . . "2026-03-03T16:43:13.974+01:00"^^ . . . . "Discover and subset satellite data from the ADAM Platform" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "VOCppYD2hcQpsVEMHnSGbl2fwevvRDlDWjoSG4tEB3YF+srNEo8IP8Hf8IODCWv4nr7S6+ZcvYHIOGaRuondB1qXZt+N6dbXSuERHbQo3WcbWAw3CzgmE8bZZOq1K9x7XpqttZml+3RRkV45kADhKvFE7t2vSdlOH9z+9LegySbycGRXOxritYGS4Yd0xGdhaEWwMIEVjaMpVJwCBDg35YiVSp5YadqSlDnEo4DOaPU0tue/O1+wO+mWlvp2H3/G4ShYIBgIczxbJae9HpivPCs+10tFqYj4WMxsJ0JmGja38uZaR6SxepeESF1WuRFAS+zeSlwCDuX2sXg/hD4dww==" . . . . . . . "" . "Earth sciences" . . "Giorgio Castellan" . . "Federica Foglini" . . "geophysics" . . "100.0" . "0.4130299687385559" . "False" . "https://w3id.org/ro-id/d0694eaf-a561-4c9f-9a70-17c296da2140" . "2022-03-29 07:03:12.335211+00:00" . "https://w3id.org/ro-id/users/federica.foglini%40ismar.cnr.it" . . . "geology" . . "100.0" . "0.8256934881210327" . "False" . "https://w3id.org/ro-id/d0694eaf-a561-4c9f-9a70-17c296da2140" . "2022-03-24 18:42:55.007788+00:00" . "https://w3id.org/ro-id/users/federica.foglini%40ismar.cnr.it" . . . "covid 19" . . "12.191958495460442" . "9.4" . "Collection and analysis of satellite data to monitor the effects of COVID-19 lockdown on water clarity in the north Adriatic Sea" . . "69.26926926926926" . "69.2" . "Environmental monitoring from space." . . "8.708708708708707" . "8.7" . "Satellite technology" . . "Economy, business and finance/Economic sector/Computing and information technology/Satellite technology" . "geosciences" . . "100.0" . "0.4130299687385559" . "water" . . "11.142061281337048" . "8.0" . "earth sciences" . . "100.0" . "0.8256934881210327" . "effects of COVID-19 lockdown" . . "15.256008359456635" . "14.6" . "2022-03-29 08:47:03.080974+00:00" . "https://w3id.org/ro-id/users/federica.foglini%40ismar.cnr.it" . "https://w3id.org/ro-id/d0694eaf-a561-4c9f-9a70-17c296da2140" . "True" . . . "environmental monitoring" . . "11.413748378728926" . "8.8" . "clarity" . . "12.5810635538262" . "9.7" . "analysis of satellite data" . . "25.705329153605014" . "24.6" . "Adriatic Sea" . . "https://www.wikidata.org/wiki/Q13924" . "analysis from satellite data" . . "17.03239289446186" . "16.3" . "water clarity" . . "30.407523510971785" . "29.1" . "Adriatic Sea" . . "11.142061281337048" . "8.0" . "environmental monitoring from space" . . "11.598746081504702" . "11.1" . "satellite data" . . "23.47600518806745" . "18.1" . "analysis" . . "14.902506963788301" . "10.7" . "analysis" . . "13.618677042801558" . "10.5" . "lockdown" . . "14.785992217898833" . "11.4" . "environmental monitoring" . . "11.420612813370472" . "8.2" . "space" . . "5.153203342618385" . "3.7" . "service-account-enrichment" . . "https://w3id.org/ro-id/64aee73b-a05c-433f-bbf7-2ed35ec42601" . "https://w3id.org/ro-id/15e9432f-53ee-4ea8-b1a3-6fdcaca7cf9e" . "https://w3id.org/ro-id/28ff4f3e-c3f8-4bf0-8591-8fa36c378faa" . . . "534285"^^ . "https://api.rohub.org/api/ros/d0694eaf-a561-4c9f-9a70-17c296da2140/crate/download/" . . . "2021-12-14 10:41:17.716553+00:00" . "2025-03-05 00:46:18.160924+00:00" . "2021-12-14 10:41:17.716553+00:00" . "Collection and analysis of satellite data to monitor the effects of COVID-19 lockdown on water clarity in the north Adriatic Sea" . "application/ld+json" . . . . . "https://w3id.org/ro-id/d0694eaf-a561-4c9f-9a70-17c296da2140" . . "Analysis from satellite data – Environmental monitoring from space" . "MANUAL" . . . . "https://w3id.org/ro-id/89a6f481-4dca-4d83-8958-482cdfc8814f" . "https://w3id.org/ro-id/58b69fff-0412-4708-b68d-db3a1137eaa8" . "https://w3id.org/ro-id/af6719b5-00a1-4edf-b86d-e4dc5a4cd65c" . "https://w3id.org/ro-id/bb9a179d-6146-403f-a2c9-91577f1d6cab" . 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"https://w3id.org/ro-id/f40f3dc4-eb20-491b-b3b2-b2dbbe7d5e98" . "https://w3id.org/ro-id/0a59c39e-c6d1-4376-9df8-ac31a9e1a4ba" . "https://w3id.org/ro-id/5548e324-463c-4711-be55-8db49f48c232" . "https://w3id.org/ro-id/6247dfac-3621-4541-be10-3fe0f88fe6d0" . "https://w3id.org/ro-id/7cf638dd-af76-4552-a5d9-5002c40b46c8" . "https://w3id.org/ro-id/90465225-4586-42c5-b1f0-51062095eb42" . "https://w3id.org/ro-id/9485bb39-d73b-456a-ba13-e9511360b7e9" . "https://w3id.org/ro-id/baa90a63-6cd9-4278-8e6b-c564c3408360" . "https://w3id.org/ro-id/40f339fa-74de-4c1e-9a66-75d453b82d62" . "https://w3id.org/ro-id/53ae4f33-7137-4e50-8d24-6b21f419d84f" . "https://w3id.org/ro-id/ff1fce2e-3433-470f-bb9f-7a063ff1f243" . "Castellan, Giorgio, Federica Foglini, and Federica Foglini. \"Analysis from satellite data – Environmental monitoring from space.\" ROHub. Dec 14 ,2021. https://w3id.org/ro-id/d0694eaf-a561-4c9f-9a70-17c296da2140." . "Results" . . . "Results" . . . 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"POLYGON ((-25.000012 29.999997, 44.999988 29.999997, 44.999988 71.999997, -25.000012 71.999997, -25.000012 29.999997))" . "-25.000012 29.999997, 44.999988 29.999997, 44.999988 71.999997, -25.000012 71.999997, -25.000012 29.999997" . . . "e359cf97-fad5-4683-81a8-d81a2537bb71" . "POLYGON ((-25.000012 29.999997, 44.999988 29.999997, 44.999988 71.999997, -25.000012 71.999997, -25.000012 29.999997))" . . "service-account-enrichment" . . "https://w3id.org/ro-id/0b6c81fb-1eff-49e8-96b5-5b238f3ae72f" . "https://w3id.org/ro-id/66f2ccf5-971a-4ca6-bc31-1b2cf173f6ea" . "https://w3id.org/ro-id/a161c8f5-694c-435e-9d4a-79ab1cb29c5b" . "https://w3id.org/ro-id/d217ca99-f2ab-40e1-9020-09525ee35826" . "https://w3id.org/ro-id/e2606530-f5fa-4bcd-9d96-5e6a43401373" . . . . . "12570533"^^ . "https://api.rohub.org/api/ros/53aa90bf-c593-4e6d-923f-d4711ac4b0e1/crate/download/" . . . . . "2021-12-19 21:18:33.231894+00:00" . "2025-03-05 00:55:11.226154+00:00" . "2021-12-19 21:18:33.231894+00:00" . "The COVID-19 pandemic has led to significant reductions in economic activity, especially during lockdowns. Several studies has shown that the concentration of nitrogen dioxyde and particulate matter levels have reduced during lockdown events. Reductions in transportation sector emissions are most likely largely responsible for the NO2 anomalies. In this study, we analyze the impact of lockdown events on the air quality using data from Copernicus Atmosphere Monitoring Service over Europe and at selected locations." . "application/ld+json" . . . . . "https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1" . "air-quality" . "copernicus" . "europe" . . "Jupyter Notebook" . "Impact of the Covid-19 Lockdown on Air quality over Europe" . . . "MANUAL" . "False" . "https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1/6a4321e6-fab9-40a9-838c-7e8ac14b1422" . . . . . . "Anne Foilloux, Jean Iaquinta, and Simone Mantovani. \"Impact of the Covid-19 Lockdown on Air quality over Europe.\" ROHub. Dec 19 ,2021. https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1." . "POLYGON ((-25.000012 29.999997, 44.999988 29.999997, 44.999988 71.999997, -25.000012 71.999997, -25.000012 29.999997))" . . . "POLYGON ((-25.07812321186066 29.331104081765925, -25.07812321186066 70.25945200030641, 45.3515625 70.25945200030641, 47.109375 28.92163128242129, -25.07812321186066 29.331104081765925))" . . . "POLYGON ((-25.000012 29.999997, 44.999988 29.999997, 44.999988 71.999997, -25.000012 71.999997, -25.000012 29.999997))" . . . "POLYGON ((-25.000012 29.999997, 44.999988 29.999997, 44.999988 71.999997, -25.000012 71.999997, -25.000012 29.999997))" . . . "POLYGON ((-25.000012 29.999997, 44.999988 29.999997, 44.999988 71.999997, -25.000012 71.999997, -25.000012 29.999997))" . . . "This folder contains the Jupyter Notebooks used for this analysis" . . . "tools" . . . "This folder contains data and information generated by the Jupyter notebooks." . . . . . . . . . . . . . . . . . . . "output" . . . "Bibliography and other references used for this work." . . "biblio" . . . "Information about the input data used for executing the Jupyter notebook" . . . . "input" . . . . "https://nordicesmhub.github.io/RELIANCE/science/notebooks/air_quality_lockdown.html" . . "2022-02-28 12:09:37.504067+00:00" . "2022-02-28 12:09:38.028034+00:00" . "Rendered notebook showing the impact of the Covid-19 Lockdown on Air quality over Europe" . "text/html" . . "Rendered jupyter notebook on impact of lockdown on air quality" . "2022-02-28 12:09:37.504067+00:00" . . . . . "https://raw.githubusercontent.com/NordicESMhub/RELIANCE/main/content/science/notebooks/air_quality_lockdown.ipynb" . . "2022-05-29 20:03:12.795653+00:00" . "2022-06-01 14:35:47.916370+00:00" . "Study the impact of the lockdown during the covid-19 pandemic on different cities in Europe." . . "Impact of the lockdown on air quality (Jupyter Notebook)" . "2022-05-29 20:03:12.795653+00:00" . . . . . "https://zenodo.org/record/7513765/files/PM2_5_EUROPE_ADAMAPI2019-03-01_2021-06-30.nc" . . "2023-01-08 14:43:48.246969+00:00" . "2023-01-08 14:44:24.439601+00:00" . "PM2.5 CAMS over Europe March-June 2019, 2020 and 2021 extracted from ADAM data cube" . "application/x-netcdf" . "PM2.5" . . "PM2.5 CAMS over Europe March-June 2019, 2020 and 2021" . "2023-01-08 14:43:48.246969+00:00" . . . . . . "https://reliance.adamplatform.eu/?dataset=69623:EU_CAMS_SURFACE_NO2_G" . . "2022-05-31 09:59:58.575398+00:00" . "2022-10-21 17:40:36.922187+00:00" . "Link to ADAM viewer to explore NO2 CAMS data cube collection." . "2022-10-19T23:00:00Z" . "NO2" . . "CAMS European air quality forecasts: NO2" . "2022-05-31 09:59:58.575398+00:00" . "2018-07-12T00:00:00Z" . "Float32" . "mailto:govoni@meeo.it" . "[1.354510459350422e-07]" . "[0.0]" . "https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1/1d453d7c-72a5-4b23-88a1-4b34fc73a0b0/3bb46e4c-48b1-450f-b109-eee8f83293f2" . . . . . "303782"^^ . "https://api.rohub.org/api/resources/1fbe484e-51ae-4e16-ac6f-60aa06e298ba/download/" . . "2021-12-19 21:43:44.493101+00:00" . "2021-12-19 21:43:44.494175+00:00" . "Plot over Europe of surface NO2 on May 1st, 2020" . "image/png" . . "Surface NO2 on May 1st, 2020" . "2021-12-19 21:43:44.493101+00:00" . . . . . "https://zenodo.org/record/7513765/files/O3_EUROPE_ADAMAPI2019-03-01_2021-06-30.nc" . . "2023-01-08 14:42:05.557815+00:00" . "2023-01-08 14:42:11.840908+00:00" . "O3 CAMS over Europe March-June 2019, 2020 and 2021 extracted from ADAM data cube" . "application/x-netcdf" . "O3" . . "O3 CAMS over Europe March-June 2019, 2020 and 2021" . "2023-01-08 14:42:05.557815+00:00" . . . . . "2276065"^^ . "https://api.rohub.org/api/resources/2a2b6f01-be2e-414e-af08-d882aa995a71/download/" . . "2021-12-19 21:39:10.012886+00:00" . "2021-12-19 21:39:10.015415+00:00" . "In order to fight against the spread of COVID-19, the most hard-hit countries in the spring of 2020 implemented different lockdown strategies. To assess the impact of the COVID-19 pandemic lockdown on air quality worldwide, Air Quality Index (AQI) data was used to estimate the change in air quality in 20 major cities on six continents. Our results show significant declines of AQI in NO2, SO2, CO, PM2.5 and PM10 in most cities, mainly due to the reduction of transportation, industry and commercial activities during lockdown. This work shows the reduction of primary pollutants, especially NO2, is mainly due to lockdown policies. However, preexisting local environmental policy regulations also contributed to declining NO2, SO2 and PM2.5 emissions, especially in Asian countries. In addition, higher rainfall during the lockdown period could cause decline of PM2.5, especially in Johannesburg. By contrast, the changes of AQI in ground-level O3 were not significant in most of cities, as meteorological variability and ratio of VOC/NOx are key factors in ground-level O3 formation." . "application/pdf" . . "Impact of the COVID-19 Pandemic Lockdown on Air Quality Pollution in 20 Major cities around the World" . "2021-12-19 21:39:10.012886+00:00" . . . . . "24998"^^ . "https://api.rohub.org/api/resources/3303c10a-4bf7-4fb6-a151-76c5eb87935b/download/" . . "2021-12-19 22:03:31.558894+00:00" . "2021-12-19 22:03:31.559562+00:00" . "image/png" . . "Total averaged PM2.5 at 12 differents locations" . "2021-12-19 22:03:31.558894+00:00" . . . . . "762130"^^ . "https://api.rohub.org/api/resources/488d827e-60ef-4c8c-8a88-54f52201deed/download/" . . "2021-12-19 21:53:08.959199+00:00" . "2021-12-19 21:53:08.961483+00:00" . "image/png" . . "Mean O3 for 2019, 2020 and 2021 over March-June" . "2021-12-19 21:53:08.959199+00:00" . . . . . "878103"^^ . "https://api.rohub.org/api/resources/499fb80e-b2a8-4263-811f-bdea94730e57/download/" . . "2021-12-19 21:36:21.971158+00:00" . "2021-12-19 21:58:09.867133+00:00" . "Maps of the 3-yearly averages (done over the period March to June) for NO2, PM2.5 and O3." . "image/png" . . "NO2, PM2.5 and O3 averages (March-June)" . "2021-12-19 21:36:21.971158+00:00" . . . . . "814163"^^ . "https://api.rohub.org/api/resources/4b4000fd-8cc4-4ebc-a064-c13340789ca9/download/" . . "2021-12-19 21:50:16.743371+00:00" . "2021-12-19 21:50:16.744620+00:00" . "image/png" . . "Maximum PM2.5 for 2019, 2020 and 2021 over March-June" . "2021-12-19 21:50:16.743371+00:00" . . . . . "23748"^^ . "https://api.rohub.org/api/resources/543722a7-38ed-4a22-a668-b54ca1bf0252/download/" . . "2021-12-19 22:03:08.055316+00:00" . "2021-12-19 22:03:08.056108+00:00" . "image/png" . . "Total averaged O3 at 12 differents locations" . "2021-12-19 22:03:08.055316+00:00" . . . . . "600154"^^ . "https://api.rohub.org/api/resources/7781b8c4-96f3-4310-878c-ce669b13a95e/download/" . . "2021-12-19 21:46:19.852299+00:00" . "2021-12-19 21:48:37.689694+00:00" . "Maximum NO2 values over Europe during March-June for 3 different years: 2019 (before pandemic), 2020 (during the lockdown) and 2021 (after the lockdown)." . "image/png" . . "Maximum NO2 values over Europe during March-June" . "2021-12-19 21:46:19.852299+00:00" . . . . . . "https://reliance.adamplatform.eu/?dataset=69625:EU_CAMS_SURFACE_O3_G" . . "2022-10-21 14:38:13.978164+00:00" . "2022-10-21 14:38:17.014060+00:00" . "CAMS European air quality forecasts: Ozone (O3, µg m-3)\n\nstartDate: 2018-07-12T00:00:00Z\nendDate: 2022-10-19T23:00:00Z" . "2022-10-19T23:00:00Z" . "O3" . . "CAMS European air quality forecasts: O3" . "2022-10-21 14:38:13.978164+00:00" . "2018-07-12T00:00:00Z" . "Float32" . "mailto:govoni@meeo.it" . "[2.2007016298175586e-07]" . "[0.0]" . "https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1/79d1e316-23f5-4d93-ba9c-b4e48c291797/b3629551-5113-4f5e-abd2-cc4b509948be" . . . . . "1587662"^^ . "https://api.rohub.org/api/resources/8ea33e64-8f3f-43bf-8d31-05c278d34672/download/" . . "2021-12-19 21:58:46.089097+00:00" . "2021-12-19 21:58:46.090175+00:00" . "image/png" . . "Timeseries of O3 at 12 different locations" . "2021-12-19 21:58:46.089097+00:00" . . . . . "1692100"^^ . "https://api.rohub.org/api/resources/a77d7ebb-2df5-4a9a-a64b-4a81b5a85e17/download/" . . "2021-12-19 21:59:09.118614+00:00" . "2021-12-19 21:59:09.119566+00:00" . "image/png" . . "Timeseries of NO2 at 12 different locations" . "2021-12-19 21:59:09.118614+00:00" . . . . . "644109"^^ . "https://api.rohub.org/api/resources/c115d189-f8f2-49b5-834e-03a5f05aa0dd/download/" . . "2021-12-19 21:50:38.719125+00:00" . "2021-12-19 21:50:38.720236+00:00" . "image/png" . . "Mean PM2.5 for 2019, 2020 and 2021 over March-June" . "2021-12-19 21:50:38.719125+00:00" . . . . . "752977"^^ . "https://api.rohub.org/api/resources/c327b26a-bad2-43de-9b2a-e3a6287c07ea/download/" . . "2021-12-19 21:47:47.994101+00:00" . "2021-12-19 21:47:47.995982+00:00" . "image/png" . . "NO2 mean over March-June for 2019, 2020 and 2021" . "2021-12-19 21:47:47.994101+00:00" . . . . . "1484738"^^ . "https://api.rohub.org/api/resources/c7b8d37a-3cf5-4fb4-8464-99f6e9e4a8aa/download/" . . "2021-12-19 21:56:14.280390+00:00" . "2021-12-19 21:57:53.915288+00:00" . "Comparisons of PM2.5 changes for 2019, 2020 and 2021." . "image/png" . . "Timeseries of PM2.5 at 12 different locations" . "2021-12-19 21:56:14.280390+00:00" . . . . . "24717"^^ . "https://api.rohub.org/api/resources/ca2b6864-8c0b-48af-890d-60315f491bb9/download/" . . "2021-12-19 22:02:44.861406+00:00" . "2021-12-19 22:02:44.863192+00:00" . "image/png" . . "Total averaged NO2 at 12 differents locations" . "2021-12-19 22:02:44.861406+00:00" . . . . . "https://zenodo.org/record/7513765/files/PM10_EUROPE_ADAMAPI2019-03-01_2021-06-30.nc" . . "2023-01-08 14:46:00.841743+00:00" . "2023-01-08 14:46:02.707416+00:00" . "PM10 CAMS over Europe March-June 2019, 2020 and 2021 extracted from ADAM data cube." . "application/x-netcdf" . "PM10" . . "PM10 CAMS over Europe March-June 2019, 2020 and 2021" . "2023-01-08 14:46:00.841743+00:00" . . . . . "https://zenodo.org/record/7513765/files/NO2_EUROPE_ADAMAPI2019-03-01_2021-06-30.nc" . . "2023-01-08 14:47:29.354507+00:00" . "2023-01-08 14:47:31.746084+00:00" . "NO2 CAMS over Europe March-June 2019, 2020 and 2021 extracted from ADAM data cube." . "application/x-netcdf" . "NO2" . . "NO2 CAMS over Europe March-June 2019, 2020 and 2021" . "2023-01-08 14:47:29.354507+00:00" . . . . . "853273"^^ . "https://api.rohub.org/api/resources/f1a59359-5d27-4c41-8ca3-ecfe895a564c/download/" . . "2021-12-19 21:51:32.542926+00:00" . "2021-12-19 21:52:35.622461+00:00" . "image/png" . . "Maximum O3 for 2019, 2020 and 2021 over March-June" . "2021-12-19 21:51:32.542926+00:00" . . . . . . "https://reliance.adamplatform.eu/?dataset=69627:EU_CAMS_SURFACE_PM25_G" . . "2022-05-31 10:01:40.106991+00:00" . "2022-10-21 17:33:46.237193+00:00" . "CAMS PM2.5, Data Cube Collection" . "2022-10-19T23:00:00Z" . "PM2.5" . . "CAMS European air quality forecasts PM2.5, Data Cube Collection" . "2022-05-31 10:01:40.106991+00:00" . "2018-07-12T00:00:00Z" . "Float32" . "mailto:govoni@meeo.it" . "[709.8012084960938]" . "[0.0]" . "https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1/f39bd071-a179-4718-a36f-c8bc1cbe3072/397bacb4-2c79-498b-83e8-148a6c3f1668" . . . . . . . "2022-06-02 08:01:01.443851+00:00" . "https://w3id.org/ro-id/users/annefou%40geo.uio.no" . . . . "https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1" . "2022-06-01 21:26:26.623371+00:00" . "https://w3id.org/ro-id/users/annefou%40geo.uio.no" . . . . "https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1" . "2022-06-02 15:47:19.859211+00:00" . "https://w3id.org/ro-id/users/annefou%40geo.uio.no" . . . . "https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1" . "2022-06-01 20:47:13.889472+00:00" . "https://w3id.org/ro-id/users/annefou%40geo.uio.no" . . . . "https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1" . "Nordic e-Infrastructure Collaboration (NeIC)" . "annefou@geo.uio.no" . "Anne Fouilloux" . . "0000-0002-1784-2920" . "UiO" . "jean.iaquinta@geo.uio.no" . "Jean Iaquinta" . . "mantovani@meeo.it" . "Simone Mantovani" . . . "2026-03-03T16:43:11.001+01:00"^^ . . . . "Impact of the Covid-19 Lockdown on Air quality over Europe" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "exr2f9FObVAQ5/HhH1d0GxMJnvpiiFrnqFPfLJYB+XhYh6aTaxBxJa0b/TDv9/6d1GhMt3oR7abwNi2PcnNnGhiiuBBIB3Hic7Vq1LDCXbj8wH2mQj3HTIQHPrh4z9K/5bwNd7DySSGwJUTshfaUxJCTG3Flh0YnSTa4CKOi3vShJ6ouvKqMorTw274Lsy4YLb6nBjneM13VkpjunZU2Ty/LrW9XljBf4LsQWpMo6SxRF/NSYS9XunjU/GY4bd415XVDo75HKjcUsg78VMGbls7afySLMaVX/a1uSFaiWn5tJqqPf3Aex3nbJzCxMoTcBhcZJ8s+Byf7fNAJbaAm0w==" . . . . . . . "" . "Meteorology" . . "" . "Applied sciences" . . "01xtthb56" . "University of Oslo" . . . "04jcwf484" . "Nordic e-Infrastructure Collaboration" . . . . "27878721-73c6-4644-b9b8-077e2ceccc87" . "POLYGON ((-32.812503576278694 34.98200288425658, -32.812503576278694 73.05677630689567, 42.42188215255738 73.05677630689567, 42.42188215255738 34.98200288425658, -32.812503576278694 34.98200288425658))" . . "2.3474116623401646" . "48.87675878577585" . "POINT (2.3474116623401646 48.87675878577585)" . . . "ca3cae64-a562-4ebc-ba64-85cabf9e9718" . "POINT (2.3474116623401646 48.87675878577585)" . . "POLYGON ((-32.812503576278694 34.98200288425658, -32.812503576278694 73.05677630689567, 42.42188215255738 73.05677630689567, 42.42188215255738 34.98200288425658, -32.812503576278694 34.98200288425658))" . "-32.812503576278694 34.98200288425658, -32.812503576278694 73.05677630689567, 42.42188215255738 73.05677630689567, 42.42188215255738 34.98200288425658, -32.812503576278694 34.98200288425658" . . "service-account-enrichment" . . . . . . . "18332739"^^ . "https://api.rohub.org/api/ros/374d0d3a-4807-4925-be83-b9eea52356e3/crate/download/" . . . . "2021-12-20 11:04:49.605037+00:00" . "2025-03-05 12:47:13.501356+00:00" . "2021-12-20 11:04:49.605037+00:00" . "Collection of scientific articles and other communications related to the impact of COVID-19 pandemic lockdown on air quality pollution." . "application/ld+json" . . . "https://w3id.org/ro-id/374d0d3a-4807-4925-be83-b9eea52356e3" . "covid-19" . "lockdown" . . "Bibliography on air quality before, during and after lockdown." . . . "MANUAL" . "January" . "March" . "aerosol" . "air pollution" . "air quality index" . "air quality" . "article" . "big city" . "compendia" . "demand" . "emission" . "era" . "lockdown" . "value" . "earth sciences" . "Air pollution" . "Chemistry" . "Economy" . "Electricity production and distribution" . "Environmental politics" . "Environmental pollution" . "Newspaper" . "Science and technology" . "Scientific paper" . "Weather" . "AQI" . "ECHAM" . "February" . "January" . "Mar" . "New York" . "aerosol" . "air pollution" . "air quality" . "article" . "collection" . "communication" . "covid 19" . "lockdown" . "major city" . "pollutant" . "pollution" . "value" . "geosciences" . "life sciences" . "ECHAM HAM simulation" . "January February" . "ML model" . "Madrid Spain Mar May TotalOutdoorphysicalexercise" . "Mexico City Mexico Mar" . "aerosol precursor" . "aerosol radiative forcing reduction" . "air quality pollution" . "availablefor Los Angeles" . "bibliography on air quality" . "collection of scientific article" . "demand variability" . "electricity demand value" . "emission reduction factor" . "energy industry" . "impact of covid 19" . "pandemic lockdown" . "reg AP emission inventory" . "threshold temperature value" . "Bibliography on air quality before, during and after lockdown." . "Collection of scientific articles and other communications related to the impact of COVID-19 pandemic lockdown on air quality pollution." . "Figure summarizes the main statistics (normalized meanbias, NMB; normalized root mean square error, NRMSE;and correlation, r) obtained from the comparison betweenmeasured and ML based electricity demand during the first months of for selected countries." . "In this study, ML models are used for predictingthe fluctuations of electricity demand based on the temper ature (and additional time features) assuming that temper ature is a strong driver of electricity demand (for heatingand air conditioning) However, temperature is obviously notthe only driver of electricity demand variability that can beinfluenced by various other factors (e.g. change of technol ogy, behaviour, regulation) In addition, the GBM modelsused in this study are non parametric, meaning that they can not extrapolate, i.e. predict electricity demand values out side the range of values used during the training phase." . "The ECHAM HAM and CESM NoT ensembles allow more freedom for temperature adjustment." . "The ECHAM HAM simulation set up is most similar to the CESM NoT ensemble described below." . "The average temperature was not availablefor Los Angeles (LA) New York City (NYC) and Sydney, so the maximum temperature was used,as the maximum temperature is important for ozone formation." . "The daily median AQI was used in this study for each of major cities." . "The datasetprovides a statistical summary for each of the air pollutant species, all air pollutants are converted toan Air Quality Index (AQI) with the U.S. Environmental Protection Agency (EPA) standard calculation." . "The same emissions scenario (from Forster et al.) is run as for CESM using monthly emissions." . "Thepoorest performance was obtained in Finland (r.) dueto a strong negative anomaly (on average) of elec tricity demand in January February compared to pre vious years used for training." . "in spring" . "the past winter" . "winter" . "https://w3id.org/ro-id/374d0d3a-4807-4925-be83-b9eea52356e3/896f6773-8216-4af9-b7bc-511956267947" . "https://w3id.org/ro-id/374d0d3a-4807-4925-be83-b9eea52356e3/fb824ab2-b346-462a-8cc6-4d7870b26bef" . . . . . . "astronomy" . "chemistry" . "computer science" . "ecology" . "linguistics" . "mathematics" . "medicine" . "meteorology" . "physics" . "politics" . "publishing" . "software" . "the economy" . "Associated Press" . "Creative Commons" . "Environmental Protection Agency" . "European Union" . "Google" . "International Agency for Research on Cancer" . "International Energy Agency" . "National Aeronautics and Space Administration" . "Oxford University" . "World Health Organization" . "World Meteorological Organization" . "Africa" . "Antarctica" . "Asia" . "Australia" . "Austria" . "Barcelona" . "Beijing" . "Belarus" . "Belgium" . "Berlin" . "Bosnia-Herzegovina" . "Brazil" . "British Columbia" . "Bulgaria" . "China" . "Claremont" . "Croatia" . "Cyprus" . "Czech Republic" . "Delaware" . "Delhi" . "Denmark" . "Estonia" . "Europe" . "Finland" . "France" . "Georgia" . "Germany" . "Greece" . "Hungary" . "India" . "Iran" . "Ireland" . "Istanbul" . "Italy" . "Japan" . "Johannesburg" . "Latvia" . "Leeds" . "Lima" . "Lithuania" . "Lombardy" . "London" . "Los Angeles" . "Luxemburg" . "Madrid" . "Malta" . "Mexico City" . "Mexico" . "Milan" . "Moldova" . "Moscow" . "Netherlands" . "New Hampshire" . "New York" . "Norway" . "Occident" . "Oxford" . "Paris" . "Peru" . "Poland" . "Portugal" . "Reading" . "Romania" . "Rome" . "Russia" . "Seoul" . "Slovakia" . "Slovenia" . "South Africa" . "South America" . "South Korea" . "Spain" . "Sweden" . "Switzerland" . "Sydney" . "São Paulo" . "Tehran" . "Tokyo" . "Turkey" . "United Kingdom" . "United States of America" . "Utrecht" . "Wuhan" . "Iaquinta, Jean, and Anne Foilloux. \"Bibliography on air quality before, during and after lockdown..\" ROHub. Dec 20 ,2021. https://w3id.org/ro-id/374d0d3a-4807-4925-be83-b9eea52356e3." . "POINT (2.3474116623401646 48.87675878577585)" . . . "POLYGON ((-32.812503576278694 34.98200288425658, -32.812503576278694 73.05677630689567, 42.42188215255738 73.05677630689567, 42.42188215255738 34.98200288425658, -32.812503576278694 34.98200288425658))" . . . . . . . . . . . . "biblio" . . . . "2737177"^^ . "https://api.rohub.org/api/resources/116dfa4e-7918-403c-b4ef-1f995d91c775/download/" . . "2021-12-20 11:37:53.147412+00:00" . "2021-12-20 14:02:16.465674+00:00" . "The COVID-19 pandemic led to dramatic changes in economic activity in 2020. In this paper the authors use estimates of emission changes for 2020 in two Earth System Models (ESMs) to simulate the impacts of the COVID-19 economic changes." . "application/pdf" . . "Climate Impacts of COVID-19 Induced Emission Changes" . "2021-12-20 11:37:53.147412+00:00" . . . . . "https://www.frontiersin.org/articles/10.3389/frsc.2021.705051/full" . . "2021-12-20 13:52:44.528252+00:00" . "2021-12-20 13:52:44.528673+00:00" . "The COVID-19 pandemic has affected severely the economic structure and health care system, among others, of India and the rest of the world. The magnitude of its aftermath is exceptionally devastating in India, with the first case reported in January 2020, and the number has risen to ~31.3 million as of July 23, 2021. India imposed a complete lockdown on March 25, which severely impacted migrant population, industrial sector, tourism industry, and overall economic growth. Herein, the impacts of lockdown and unlock phases on ambient atmospheric air quality variables have been assessed across 16 major cities of India covering the north-to-south stretch of the country. In general, all assessed air pollutants showed a substantial decrease in AQI values during the lockdown compared with the reference period (2017–2019) for almost all the reported cities across India. On an average, about 30–50% reduction in AQI has been observed for PM2.5, PM10, and CO, and maximum reduction of 40–60% of NO2 has been observed herein, while the data was average for northern, western, and southern India. SO2 and O3 showed an increase over a few cities as well as a decrease over the other cities. Maximum reduction (49%) in PM2.5 was observed over north India during the lockdown period. Furthermore, the changes in pollution levels showed a significant reduction in the first three phases of lockdown and a steady increase during subsequent phase of lockdown and unlock period. Our results show the substantial effect of lockdown on reduction in atmospheric loading of key anthropogenic pollutants due to less-to-no impact from industrial activities and vehicular emissions, and relatively clean transport of air masses from the upwind region. These results indicate that by adopting cleaner fuel technology and avoiding poor combustion activities across the urban agglomerations in India could bring down ambient levels of air pollution at least by 30%." . . "Effect of Lockdown Amid COVID-19 on Ambient Air Quality in 16 Indian Cities" . "2021-12-20 13:52:44.528252+00:00" . . . . . "https://apps.who.int/iris/bitstream/handle/10665/345329/9789240034228-eng.pdf?sequence=1&isAllowed=y&utm_source=north%20shore%20news&utm_campaign=north%20shore%20news%3A%20outbound&utm_medium=referral" . . "2021-12-20 12:21:55.614484+00:00" . "2021-12-20 12:21:55.615043+00:00" . "There is a strong body of evidence to show how air pollution affects different aspects of health at even lower concentrations than previously understood. But here’s what hasn’t changed: every year, exposure to air pollution is still estimated to cause millions of deaths and the loss of healthy years of life." . "application/pdf" . . "WHO global air quality guidelines. Particulate matter (PM2.5 and PM10), ozone, nitrogen dioxide, sulfur dioxide and carbon monoxide" . "2021-12-20 12:21:55.614484+00:00" . . . . . "12135323"^^ . "https://api.rohub.org/api/resources/729c0b49-df8a-42de-8059-1a220c51f353/download/" . . "2021-12-20 11:30:13.530879+00:00" . "2021-12-20 13:58:53.392534+00:00" . "In this paper the authors quantify the reductions in primary emissions due to the COVID-19 lockdowns in Europe. Their estimates are provided in the form of a dataset of reduction factors varying per country and day that will allow the modelling and identification of the associated impacts upon air quality." . "application/pdf" . . "Time-resolved emission reductions for atmospheric chemistry\r\nmodelling in Europe during the COVID-19 lockdowns" . "2021-12-20 11:30:13.530879+00:00" . . . . . "https://earthobservatory.nasa.gov/images/87910/scientists-show-connection-between-gas-flaring-and-arctic-pollution" . . "2021-12-20 11:35:42.183038+00:00" . "2021-12-20 11:36:06.522620+00:00" . "Waste natural gas from industrial oil and gas fields could be a source of nitrogen dioxide and black carbon pollution, according to new research." . . "Scientists Show Connection Between Gas Flaring and Arctic Pollution" . "2021-12-20 11:35:42.183038+00:00" . . . . . "https://www.scitepress.org/Papers/2021/103972/103972.pdf" . . "2021-12-20 13:56:47.380772+00:00" . "2021-12-20 13:56:47.381322+00:00" . "This study has used, in a first stage, Sentinel-5P and CAMS service to analyze the air quality in the territory of Iberian Peninsula, as well as assess in detail major cities within the region (Lisbon, Porto and Madrid), for a period from January 2018 to April 2020. On a later stage, the data from Sentinel-3A and 3B allowed the analysis of water quality during the months March, April and May 2020, in the Portuguese coast. Regarding the air quality, NO2 and PM10 levels in the Iberian Peninsula were consistently lower compared to the same periods in the two past years." . "application/pdf" . . "Air and Water Quality Improvement during COVID-19 lockdown" . "2021-12-20 13:56:47.380772+00:00" . . . . . "https://arxiv.org/pdf/2106.13750.pdf" . . "2021-12-20 13:51:17.829614+00:00" . "2021-12-20 13:57:34.731243+00:00" . "In this work the authors investigate the short-term variations in air quality emissions, attributed to the prevention measures, applied in different cities, to mitigate the COVID-19 spread. Part of the analysis employs a variety of machine learning tools." . "application/pdf" . . "Assessing the Lockdown Effects on Air Quality during COVID-19 Era" . "2021-12-20 13:51:17.829614+00:00" . . . . . "1297785"^^ . "https://api.rohub.org/api/resources/b37476c6-244e-4b80-8268-03c5fc1c7de6/download/" . . "2022-03-17 17:37:17.618246+00:00" . "2022-03-17 17:37:24.230848+00:00" . "Paris coronavirus. Man wearing a mask walking in front of the Eiffel Tower on the first day of Paris lock-down. Photo by The Paris Photographer on Unsplash" . "image/jpeg" . . "Paris during the lockdown" . "2022-03-17 17:37:17.618246+00:00" . . . . . "291862"^^ . "https://api.rohub.org/api/resources/bc3d57ea-d82b-4261-9af7-24e949d1d5f5/download/" . . "2021-12-20 11:28:32.188824+00:00" . "2021-12-20 13:59:25.789565+00:00" . "Concawe has undertaken a city-level analysis to quantify the\r\nways in which the Covid-19 lockdown measures have had an\r\nimpact on air quality in Europe. This article presents the results of the analysis for particulate matter (PM 2.5 ), nitrogen dioxide (NO2 ) and ozone (O3 )." . "application/pdf" . . "How Covid-19 lockdown affected air pollution in Europe — a multi-city analysis" . "2021-12-20 11:28:32.188824+00:00" . . . . . "2276065"^^ . "https://api.rohub.org/api/resources/bc6922f1-debf-46ae-ba79-d574f6f5c064/download/" . . "2021-12-20 11:33:04.445345+00:00" . "2021-12-20 13:59:59.434971+00:00" . "To assess the impact of the COVID-19 pandemic lockdown on air quality worldwide, Air Quality Index (AQI) data was used to estimate the change in air quality in 20 major cities on six continents. Our results show significant declines of AQI in NO2 , SO2 , CO, PM 2.5 and PM 10 in most cities, mainly due to the reduction of transportation, industry and commercial activities during lockdown." . "application/pdf" . . "Impact of the COVID-19 Pandemic Lockdown on Air Pollution in 20 Major Cities around the World" . "2021-12-20 11:33:04.445345+00:00" . . . . . . . "Nordic e-Infrastructure Collaboration (NeIC)" . "annefou@geo.uio.no" . "Anne Fouilloux" . . "0000-0002-1784-2920" . "UiO" . "jean.iaquinta@geo.uio.no" . "Jean Iaquinta" . . . "2026-03-03T16:43:09.546+01:00"^^ . . . . "Bibliography on air quality before, during and after lockdown." . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "AiPdM2zP9E8LVbZid/wojB5xRg0vg6sm76JyY8zCCxb/YAu5DG4VHZCAhujFigVCyOlra3Ibxk6Vdk2MZfxmAWbr5WihQjs5AbYlie7pSbrdQr6x2zDVL0YDuC3hGXCyfGFkSytaQzUhc5iE3IQiV0Gp7d3eRtci0KHIKuYrYiABKHrgyG4kbN9LfmyXbngZQG4M6OlrMHIgcIGC++KhgufU0iGnw5LpQGHQx7CKR9HqvuDUolSk+LblHh8bcFAShNm0UMsyu8UANZtWwsGoN00ArPUlGZj/AN+JimQbTDArMv31AfkC6/hFvELZkpggtdnkEttigmqGfUXJYW8X/w==" . . . . . . . "" . "Meteorology" . . "" . "Applied sciences" . . "10.13039/501100000781" . "European Commission" . . . "job market" . . "galaxy history" . . "galaxy" . . "workflow" . . "air quality metrics from cad" . . "galaxy workflow" . . "air quality metrics" . . "prosody" . . "air quality" . . "air quality analysis galaxy workflow" . . "galaxy" . "01xtthb56" . "University of Oslo" . . . "04jcwf484" . "Nordic e-Infrastructure Collaboration" . . . . "101017502" . "RELIANCE" . "Research Lifecycle Management for Earth Science Communities and Copernicus Users" . . "service-account-enrichment" . . . . . "12885"^^ . "https://api.rohub.org/api/ros/67edd16f-c3d8-4879-a3a5-2d223e7dce6d/crate/download/" . . . . "2021-12-20 11:10:15.669133+00:00" . "2025-03-05 00:59:10.306788+00:00" . "2021-12-20 11:10:15.669133+00:00" . "Galaxy workflow and executed Galaxy histories for getting air quality \"metrics\" from CADS on a specified location" . "application/ld+json" . . . . . . . "https://w3id.org/ro-id/67edd16f-c3d8-4879-a3a5-2d223e7dce6d" . "air quality" . "copernicus" . "galaxy portal" . . "Galaxy workflow and Galaxy histories for air quality analysis" . . . "MANUAL" . . . . . . "Iaquinta, Jean, and Anne Foilloux. \"Galaxy workflow and Galaxy histories for air quality analysis.\" ROHub. Dec 20 ,2021. https://w3id.org/ro-id/67edd16f-c3d8-4879-a3a5-2d223e7dce6d." . . . . . . "output" . . . "input" . . . . "tools" . . . . "https://workflowhub.eu/workflows/251/diagram?version=1" . . "2021-12-20 13:35:02.816046+00:00" . "2021-12-20 13:35:20.188670+00:00" . . "Galaxy workflow diagram" . "2021-12-20 13:35:02.816046+00:00" . . . . . "https://climate.usegalaxy.eu/u/annefou/h/reliance-ds1-gc0-sc3-venise-pm25" . . "2021-12-20 13:24:44.479519+00:00" . "2021-12-20 13:33:13.274190+00:00" . . "PM2.5 Venice region during 2019, 2020 and 2021" . "2021-12-20 13:24:44.479519+00:00" . . . . . "https://climate.usegalaxy.eu/u/annefou/h/reliance-ds1-gc0-sc3-marseille-non-polluted-area-pm25" . . "2021-12-20 13:26:36.750183+00:00" . "2021-12-20 13:32:19.082373+00:00" . . "PM2.5 Marseille (non-polluted region) during 2019, 2020 and 2021" . "2021-12-20 13:26:36.750183+00:00" . . . . . "https://climate.usegalaxy.eu/u/annefou/h/reliance-ds1-gc0-sc3-venise-nitrogen-dioxyde" . . "2021-12-20 13:25:40.479608+00:00" . "2021-12-20 13:32:58.949483+00:00" . . "NO2 Venice region during 2019, 2020 and 2021" . "2021-12-20 13:25:40.479608+00:00" . . . . . "https://climate.usegalaxy.eu/u/annefou/h/reliance-ds1-gc0-sc3-marseille-non-polluted-area-nitrogen-dioxide" . . "2021-12-20 13:27:12.467869+00:00" . "2021-12-20 13:32:44.023631+00:00" . . "NO2 Marseille (non-polluted region) during 2019, 2020 and 2021" . "2021-12-20 13:27:12.467869+00:00" . . . . . "https://workflowhub.eu/workflows/251?version=1" . . "2021-12-20 13:31:41.239402+00:00" . "2021-12-20 13:31:55.845914+00:00" . . "Galaxy workflow used to investigate the lockdown effect on air quality between January 2019 to May 2021" . "2021-12-20 13:31:41.239402+00:00" . . . . . "https://climate.usegalaxy.eu/u/annefou/h/reliance-ds1-gc0-sc3-vitrolles--nitrogen-dioxide" . . "2021-12-20 13:28:34.482198+00:00" . "2021-12-20 13:33:30.862203+00:00" . . "NO2 Vitrolles (more industrial area near Marseille) during 2019, 2020 and 2021" . "2021-12-20 13:28:34.482198+00:00" . . . . . . . "Nordic e-Infrastructure Collaboration (NeIC)" . "annefou@geo.uio.no" . "Anne Fouilloux" . . "0000-0002-1784-2920" . "UiO" . "jean.iaquinta@geo.uio.no" . "Jean Iaquinta" . . . "2026-03-03T16:43:08.145+01:00"^^ . . . . "Galaxy workflow and Galaxy histories for air quality analysis" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . 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"2021-12-20 11:25:17.614300+00:00" . "2025-03-05 00:50:46.501842+00:00" . "2021-12-20 11:25:17.614300+00:00" . "This report puts together some of the results obtained on the subject and summarizes the main findings. In particular, it reuses other Research Objects we or other have created, including automatically generated Bibliographic Research objects." . "application/ld+json" . . "https://w3id.org/ro-id/66613047-4680-459d-8c60-509c349830d5" . "air quality" . "covid-19" . "lockdown" . . "Final report regarding the study of the impact of lockdown on air quality over Europe." . . . "MANUAL" . . . . . . "Iaquinta, Jean, and Anne Foilloux. \"Final report regarding the study of the impact of lockdown on air quality over Europe..\" ROHub. Dec 20 ,2021. https://w3id.org/ro-id/66613047-4680-459d-8c60-509c349830d5." . . "biblio" . . . . "2167"^^ . "https://api.rohub.org/api/resources/e43d2b1c-0d14-4d3d-8500-393fb10610c6/download/" . . "2021-12-20 13:17:50.788610+00:00" . "2021-12-20 13:17:50.789312+00:00" . "Work in progress" . . "Draft report on the study of the impact of lockdown on air quality over Europe" . "2021-12-20 13:17:50.788610+00:00" . . . . . . . "Nordic e-Infrastructure Collaboration (NeIC)" . "annefou@geo.uio.no" . "Anne Fouilloux" . . "0000-0002-1784-2920" . "UiO" . "jean.iaquinta@geo.uio.no" . "Jean Iaquinta" . . . "2026-03-03T16:43:06.814+01:00"^^ . . . . "Final report regarding the study of the impact of lockdown on air quality over Europe." . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . 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"data format doesn t change" . "data line" . "data section" . "ebas Nasa Ames format" . "ebas data format" . "format confusion" . "specific location" . "Compare CAMS analysis with available observations on specific locations." . "Data downloaded from the EBAS database through its web portal is provided in a format based on the NASA Ames format." . "Jupyter notebook comparing CAMS and air quality measurements." . "The EBAS Nasa Ames format, just as normal NASA Ames, consists of a tabular data section preceded by a header containing the metadata." . "Use a well established format as long as all metadata can be conveyed rather than inventing a new format that would increase the format confusion." . "https://w3id.org/ro-id/5f2e7ab8-8122-41b3-8d53-060e09855fa7/62679c1a-e581-4367-9b97-0ca70afb99a7" . . . . . . "computer science" . "database" . "software" . "Ames Research Center" . "Iaquinta, Jean, and Anne Foilloux. \"Jupyter notebook comparing CAMS and air quality measurements.\" ROHub. Dec 20 ,2021. https://w3id.org/ro-id/5f2e7ab8-8122-41b3-8d53-060e09855fa7." . "POINT (2.4154224246740346 48.883295068713096)" . . . "Contains the tools used for executing this RO" . . . "tools" . . . "contains information and links to input data that are needed for executing this executable RO" . . . . . . "input" . . . "Contains bibliographic resources related to this RO" . . "biblio" . . . "Contains all the outputs generated by this executable RO" . . . "output" . . . . "5197"^^ . "https://api.rohub.org/api/resources/03e3106c-2500-47d2-8945-27ccb9035599/download/" . . "2021-12-20 11:59:46.733088+00:00" . "2021-12-20 11:59:46.734733+00:00" . "Norway - Hurdal (NO0056R) - low_vol_sampler - pm25_mass - pm25 [2014.01.13-2021.01.04]" . . "PM2.5 EBAS Data for Hurdal (NO0056R)" . "2021-12-20 11:59:46.733088+00:00" . . . . . "https://raw.githubusercontent.com/NordicESMhub/RELIANCE/main/content/science/notebooks/comparisons_with_air_quality_measurements.ipynb" . . "2021-12-20 13:45:01.924320+00:00" . "2021-12-20 13:45:01.924953+00:00" . "Working progress. This Jupyter notebook is in Github and is regularly updated." . . "Jupyter Notebook for comparing CAMS with observations during lockdown" . "2021-12-20 13:45:01.924320+00:00" . . . . . "5317"^^ . "https://api.rohub.org/api/resources/0f1890e0-3083-4bf7-bb4d-f2b1f999eac8/download/" . . "2021-12-20 12:01:30.062595+00:00" . "2021-12-20 12:01:52.652568+00:00" . "Norway - Hurdal (NO0056R) - low_vol_sampler - pm25_mass - pm25 [2014.01.13-2021.01.04]" . . "PM2.5 EBAS Data for Hurdal (NO0056R)" . "2021-12-20 12:01:30.062595+00:00" . . . . . "102096"^^ . "https://api.rohub.org/api/resources/2459dc9b-fcad-4673-be8c-f0fec599f73f/download/" . . "2021-12-20 17:58:47.636937+00:00" . "2022-04-02 10:07:17.858851+00:00" . "NO2 timeseries at a given location and for different years (2019, 2020, 2021). Here the timeseries is for NO2 in Madrid." . "image/png" . . "NO2 Timeseries 2019, 2020 and 2021 over Madrid" . "2021-12-20 17:58:47.636937+00:00" . . . . . "https://nordicesmhub.github.io/RELIANCE/science/notebooks/comparisons_with_air_quality_measurements.html" . . "2022-03-17 17:13:10.017413+00:00" . "2022-03-17 17:13:11.073035+00:00" . "This is the rendered version (with jupyter-book) of the Jupyter Notebook comparing CAMS and air quality measurements." . "text/html" . . "Rendered jupyter notebook comparing CAMS and air quality measurements" . "2022-03-17 17:13:10.017413+00:00" . . . . . "288378"^^ . "https://api.rohub.org/api/resources/63c02ce2-3601-495d-ae40-3493af5b3609/download/" . . "2021-12-20 12:47:21.156793+00:00" . "2021-12-20 12:47:21.158130+00:00" . "Copernicus Atmosphere Time Series of O3 over several location before, during and after then lockdown (March-June 2019, 2020 and 2021)" . "text/csv" . . "CAMS O3 March-June 2019, 2020, 2021" . "2021-12-20 12:47:21.156793+00:00" . . . . . "811491"^^ . "https://api.rohub.org/api/resources/7fe38fd0-dc1e-4781-a2a1-c485b0308e0e/download/" . . "2021-12-20 17:49:10.944373+00:00" . "2021-12-20 17:52:34.713267+00:00" . "CAMS timeseries of NO2 for 2019, 2020 and 2021 at selected locations" . "image/png" . . "CAMS timeseries" . "2021-12-20 17:49:10.944373+00:00" . . . . . "289519"^^ . "https://api.rohub.org/api/resources/9637df5a-e396-4d0d-b128-da562185c397/download/" . . "2021-12-20 12:45:46.877242+00:00" . "2021-12-20 12:45:46.879557+00:00" . "Copernicus Atmosphere Time Series of NO2 over several location before, during and after then lockdown (March-June 2019, 2020 and 2021)" . "text/csv" . . "CAMS NO2 March-June 1019, 2020, 2021" . "2021-12-20 12:45:46.877242+00:00" . . . . . "105032"^^ . "https://api.rohub.org/api/resources/9d6d5b1c-c6f1-4ec1-9041-b78cdc600722/download/" . . "2021-12-20 11:58:05.551073+00:00" . "2021-12-20 12:02:18.603819+00:00" . "Information about EBAS data format" . "application/pdf" . . "EBAS Data Format Read-Me" . "2021-12-20 11:58:05.551073+00:00" . . . . . "288502"^^ . "https://api.rohub.org/api/resources/bd43e070-f469-4d65-acc4-799b9a527f7e/download/" . . "2021-12-20 12:47:59.410543+00:00" . "2021-12-20 12:47:59.412115+00:00" . "Copernicus Atmosphere Time Series of PM2.5 over several location before, during and after then lockdown (March-June 2019, 2020 and 2021)" . "text/csv" . . "CAMS PM2.5 March-June 2019, 2020, 2021" . "2021-12-20 12:47:59.410543+00:00" . . . . . . . "Nordic e-Infrastructure Collaboration (NeIC)" . "annefou@geo.uio.no" . "Anne Fouilloux" . . "0000-0002-1784-2920" . "UiO" . "jean.iaquinta@geo.uio.no" . "Jean Iaquinta" . . . "2026-03-03T16:43:05.440+01:00"^^ . . . . "Jupyter notebook comparing CAMS and air quality measurements" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "E2F09IzrrFk4dIeSlT0w09YqBmUrBTxCMQC89+3zLHiCy9AzXKGV+OpjihV0/Ix1cbXkomDfm76vnvos9/1NMEoutqh9ABuHpJ63C06QWx0RtifDw2IUaXUAKb6PWrWOmOrRigKsU83M/LkHcNwTrUan+pXI7L0a+YEIxgOQYLHlx5JFyX2EFUjZdBiqyfG0hcXEwQ8SOZ0HNNrdclC1waE5nVEDAAvNeECvVOW2nQh1MGDr9EkxW0hhWm/vDjChvIRdl0sJH+5qDoV6POhkcYB2lSCjCD3NPcsIHxfL3S834NQPEyc7+VXCVRCllh0EZEQ/whprMsi7tLNumhG7IA==" . . . . . . . "" . "Meteorology" . . "" . "Applied sciences" . . . "identification of source" . . "ecology" . . "pollution event" . . "trajectory" . . "events" . . "pollution" . . "origin of events" . . "concentrations of pollutant" . . "concentration" . . "start" . . "source" . . "sources of pollution event" . . "identification" . . "case" . "01xtthb56" . "University of Oslo" . . . "04jcwf484" . "Nordic e-Infrastructure Collaboration" . . . "service-account-enrichment" . . . . . "9284"^^ . "https://api.rohub.org/api/ros/d767e6c3-6cfd-4e68-a989-0b4cbe9236b5/crate/download/" . . . . "2021-12-20 11:33:30.052359+00:00" . "2025-03-05 00:53:52.389586+00:00" . "2021-12-20 11:33:30.052359+00:00" . "Trajectory model (backwards) such as FLEXPART or HYSPLIT or LAGRANTO. Backward trajectories to find origin of events where high concentrations of pollutants have been found" . "application/ld+json" . . . . . "https://w3id.org/ro-id/d767e6c3-6cfd-4e68-a989-0b4cbe9236b5" . "atmospheric concentration" . "flexpart" . "modelling" . "particle dispersion model" . "trajectory" . . "Identification of sources of pollution events during lockdown" . . . "MANUAL" . . . . . . "Anne Foilloux, and Jean Iaquinta. \"Identification of sources of pollution events during lockdown.\" ROHub. Dec 20 ,2021. https://w3id.org/ro-id/d767e6c3-6cfd-4e68-a989-0b4cbe9236b5." . "Contains information and links to input data that are needed for executing this executable RO" . "input" . . . "Contains the tools used for executing this RO" . "tools" . . . "Contains all the outputs generated by this executable RO" . "output" . . . "Contains bibliographic resources related to this RO" . . "biblio" . . . . "https://www.nilu.com/pub/1762338/" . . "2021-12-20 14:05:41.262377+00:00" . "2021-12-20 14:07:19.146697+00:00" . "The Lagrangian particle dispersion model FLEXPART in its original version in the mid-1990s was designed for calculating the long-range and mesoscale dispersion of hazardous substances from point sources, such as those released after an accident in a nuclear power plant. Over the past decades, the model has evolved into a comprehensive tool for multi-scale atmospheric transport modeling and analysis and has attracted a global user community. This version of FLEXPART (10.4) works with meteorological input data from the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecast System (IFS) and data from the United States National Centers of Environmental Prediction (NCEP) Global Forecast System (GFS)." . . "The Lagrangian particle dispersion model FLEXPART version 10.4" . "2021-12-20 14:05:41.262377+00:00" . . . . . . . "Nordic e-Infrastructure Collaboration (NeIC)" . "annefou@geo.uio.no" . "Anne Fouilloux" . . "0000-0002-1784-2920" . "UiO" . "jean.iaquinta@geo.uio.no" . "Jean Iaquinta" . . . "2026-03-03T16:43:03.948+01:00"^^ . . . . "Identification of sources of pollution events during lockdown" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "xWmlPYrsZZno7HeEe0H59rI/imOTOo0bfSZCR2Svf+zuuDPenOoqOpttQa8zDb04oGb6q+y4V20ZTNt9ITOwor9CvQVpN2a0nzSwGkdmlDPfcnp4medGg2LVJrln3o/LXIckDtRNTEUHIjAPRMHW9yidtJnzVhQBr4SDLIEhdoXfOKHpxU2zMfa+GrIogXBSwUGtuYk/ISJ6qRy1l3BFPRuM8PqDJ3PJf2QHcgGgOXDnHVIS8XXNkU65wllgO0zHT7aPx70QrPlkWVdq0+bQ/pLpc5/26HLz3v6fzw75IfRRMHH/9WTmNkUqZfsIy+yYer9DsQ1inSWE2wMRvkrCiA==" . . . . . . . "" . "Applied sciences" . . . "Adriatic Sea" . . "fair perspective" . . "supplementary materials of the paper" . . "material" . . "press" . . "perspective" . . "Adriatic Sea" . . "fragmented geodata" . . "supplementary material" . . "multi-disciplinary" . . "experience" . . "Adriatic Sea experience" . . "inhomogeneous" . . "federica.foglini@ismar.cnr.it" . "Federica Foglini" . . "0000-0002-2736-0052" . "CNR-ISMAR" . "valentina.grande@bo.ismar.cnr.it" . "Valentina Grande" . . "0000-0002-3489-268X" . "False" . "https://w3id.org/ro-id/97985638-81ed-42b1-ae48-ab432f14db52" . "2022-02-21 15:48:49.326486+00:00" . "https://w3id.org/ro-id/users/valentina.grande%40bo.ismar.cnr.it" . . . "POLYGON ((11.803711205720903 45.86247197535218, 14.264648705720903 45.91141526426032, 20.10058701038361 41.75492216766298, 20.08300915360451 40.29628651711716, 18.290039598941807 39.771391711936175, 14.756836742162706 41.83355344295755, 12.137695848941803 44.071800467511565, 11.803711205720903 45.86247197535218))" . "11.803711205720903 45.86247197535218, 14.264648705720903 45.91141526426032, 20.10058701038361 41.75492216766298, 20.08300915360451 40.29628651711716, 18.290039598941807 39.771391711936175, 14.756836742162706 41.83355344295755, 12.137695848941803 44.071800467511565, 11.803711205720903 45.86247197535218" . . "POLYGON ((12.01904296875 40.0208830923139, 12.01904296875 45.80735960788208, 19.9643549323082 45.80735960788208, 19.9643549323082 40.0208830923139, 12.01904296875 40.0208830923139))" . "12.01904296875 40.0208830923139, 12.01904296875 45.80735960788208, 19.9643549323082 45.80735960788208, 19.9643549323082 40.0208830923139, 12.01904296875 40.0208830923139" . . . "5dba0cd2-0d87-4d68-a195-f65a19b13d86" . "POLYGON ((12.01904296875 40.0208830923139, 12.01904296875 45.80735960788208, 19.9643549323082 45.80735960788208, 19.9643549323082 40.0208830923139, 12.01904296875 40.0208830923139))" . . . "b5175061-11ee-46b0-af27-6519e270b341" . "POLYGON ((11.803711205720903 45.86247197535218, 14.264648705720903 45.91141526426032, 20.10058701038361 41.75492216766298, 20.08300915360451 40.29628651711716, 18.290039598941807 39.771391711936175, 14.756836742162706 41.83355344295755, 12.137695848941803 44.071800467511565, 11.803711205720903 45.86247197535218))" . . "service-account-enrichment" . . "https://w3id.org/ro-id/3e79723f-9082-41f0-bb7e-331c3b2c84bd" . . . . . . "763049"^^ . "https://api.rohub.org/api/ros/97985638-81ed-42b1-ae48-ab432f14db52/crate/download/" . . . "2022-01-11 10:17:48.200180+00:00" . "2025-03-05 00:46:16.068607+00:00" . "2022-01-11 10:17:48.200180+00:00" . "Supplementary materials of the paper \"A Marine Spatial Data Infrastructure to manage multidisciplinary, inhomogeneous and fragmented geodata in a FAIR perspective - The Adriatic Sea experience\" Oceanologia 2022 (in press)" . "application/ld+json" . . . . . . . . . . "https://w3id.org/ro-id/97985638-81ed-42b1-ae48-ab432f14db52" . "Adriatic Sea" . "Data model" . "FAIR principles" . "Marine Spatial Data Infrastructure (MSDI)" . "Metadata catalogue" . "WebGIS" . . "Bibliographic Resource" . "A Marine Spatial Data Infrastructure to manage multidisciplinary, inhomogeneous and fragmented geodata in a FAIR perspective - The Adriatic Sea experience" . . . "MANUAL" . "https://w3id.org/ro-id/97985638-81ed-42b1-ae48-ab432f14db52/01c72cbe-835c-4bab-bebb-c6190e152001" . "https://w3id.org/ro-id/97985638-81ed-42b1-ae48-ab432f14db52/04110680-351f-4898-88cf-8efc485a68e8" . . . . "CNR-ISMAR" . "Grande, Valentina, and Federica Foglini. \"A Marine Spatial Data Infrastructure to manage multidisciplinary, inhomogeneous and fragmented geodata in a FAIR perspective - The Adriatic Sea experience.\" ROHub. Jan 11 ,2022. https://w3id.org/ro-id/97985638-81ed-42b1-ae48-ab432f14db52." . "POLYGON ((11.803711205720903 45.86247197535218, 14.264648705720903 45.91141526426032, 20.10058701038361 41.75492216766298, 20.08300915360451 40.29628651711716, 18.290039598941807 39.771391711936175, 14.756836742162706 41.83355344295755, 12.137695848941803 44.071800467511565, 11.803711205720903 45.86247197535218))" . . . "POLYGON ((12.01904296875 40.0208830923139, 12.01904296875 45.80735960788208, 19.9643549323082 45.80735960788208, 19.9643549323082 40.0208830923139, 12.01904296875 40.0208830923139))" . . . . . "160611"^^ . "https://api.rohub.org/api/resources/13ab86ae-dfbf-40f2-beff-5ed8683bcf04/download/" . . "2022-01-11 10:36:29.647328+00:00" . "2022-09-26 14:05:24.608312+00:00" . "UML structure of the theme Geophysics shared as .xml file and WGS 1984 Web Mercator (Auxiliary sphere) as reference system" . "application/xml" . . "Geophysics UML structure" . "2022-01-11 10:36:29.647328+00:00" . . . . . "199850"^^ . "https://api.rohub.org/api/resources/160b1eb5-a7bc-4a0b-a7e7-2c1468a61f6e/download/" . . "2022-01-11 10:37:00.091930+00:00" . "2022-01-11 10:39:31.225832+00:00" . "UML structure of the theme Seafloor Mapping shared as .xml file and WGS 1984 Web Mercator (Auxiliary sphere) as reference system" . "application/xml" . . "Seafloor Mapping UML structure" . "2022-01-11 10:37:00.091930+00:00" . . . . . "73078"^^ . "https://api.rohub.org/api/resources/3996852d-7831-4dcd-8545-08fdc1ecdc58/download/" . . "2022-01-11 10:37:31.976146+00:00" . "2022-01-11 10:39:51.280906+00:00" . "UML structure of the theme Water Column shared as .xml file and WGS 1984 Web Mercator (Auxiliary sphere) as reference system" . "application/xml" . . "Water Column UML structure" . "2022-01-11 10:37:31.976146+00:00" . . . . . "141559"^^ . "https://api.rohub.org/api/resources/4889392e-3921-44d3-bc27-790b285fd695/download/" . . "2022-01-11 10:21:14.170980+00:00" . "2022-01-11 10:58:25.028960+00:00" . "UML structure built in Enterprise Architect (© Sparx System) representing the theme “Water Column”. Boxes represent Feature datasets (yellow) Feature classes (orange), Object classes (green), and Raster Catalogues (pink), while continuous lines portray the relationships between classes." . "image/png" . . "Water Column Data Model" . "2022-01-11 10:21:14.170980+00:00" . . . . . "192731"^^ . "https://api.rohub.org/api/resources/5bf32ec6-68c6-4e6f-b6fc-85a580acf32d/download/" . . "2022-01-11 10:19:47.491579+00:00" . "2022-01-11 10:58:45.682934+00:00" . "UML structure built in Enterprise Architect (© Sparx System) representing the theme “Geology”. Boxes represent Feature datasets (yellow) Feature classes (orange), Object classes (green), and Raster Catalogues (pink), while continuous lines portray the relationships between classes." . "image/png" . . "Geology Data Model" . "2022-01-11 10:19:47.491579+00:00" . . . . . "75570"^^ . "https://api.rohub.org/api/resources/5de6e1a4-a358-461c-a32a-242d2d61595f/download/" . . "2022-09-26 17:04:19.151541+00:00" . "2022-09-26 17:04:24.581266+00:00" . "The table shows the complete evaluation of the FAIR principles related to the Marine Spatial Data Infrastructure (MSDI) focus of the scientific paper" . "application/pdf" . . "Table S1 of supplementary materials" . "2022-09-26 17:04:19.151541+00:00" . . . . . "183710"^^ . "https://api.rohub.org/api/resources/7590862a-8a88-475b-8f9e-7609e6b0edbd/download/" . . "2022-01-11 10:18:48.276758+00:00" . "2022-01-11 10:59:07.316811+00:00" . "UML structure built in Enterprise Architect (© Sparx System) representing the theme “Geophysics”. Boxes represent Feature datasets (yellow) Feature classes (orange), Object classes (green), and Raster Catalogues (pink), while continuous lines portray the relationships between classes." . "image/png" . . "Geophysics Data Model" . "2022-01-11 10:18:48.276758+00:00" . . . . . "227476"^^ . "https://api.rohub.org/api/resources/99cdc922-dd1c-44d8-935a-91ce27b7f841/download/" . . "2022-01-11 10:35:52.060882+00:00" . "2022-01-11 10:40:09.707715+00:00" . "UML structure of the theme Geology shared as .xml file and WGS 1984 Web Mercator (Auxiliary sphere) as reference system" . "application/xml" . . "Geology UML structure" . "2022-01-11 10:35:52.060882+00:00" . . . . . "305358"^^ . "https://api.rohub.org/api/resources/bf860bfe-76ac-48b7-aca6-91ad8490b20f/download/" . . "2022-01-11 10:20:28.191702+00:00" . "2022-01-11 10:59:26.436779+00:00" . "UML structure built in Enterprise Architect (© Sparx System) representing the theme “Seafloor Mapping”. Boxes represent Feature datasets (yellow) Feature classes (orange), Object classes (green), and Raster Catalogues (pink), while continuous lines portray the relationships between classes." . "image/png" . . "Seafloor Mapping Data Model" . "2022-01-11 10:20:28.191702+00:00" . . . . . . . "direttore@ismar.cnr.it" . "CNR-ISMAR" . . . "2026-03-03T16:43:02.553+01:00"^^ . . . . "A Marine Spatial Data Infrastructure to manage multidisciplinary, inhomogeneous and fragmented geodata in a FAIR perspective - The Adriatic Sea experience" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "KmzpqI3xorlIaZV+0/T6iKIcKdNz0fuNlbKfak6pDE9+G2OhYHNlEtnfcuCJ/aCEekzNydhUghPrAGdD+9r3P60wiXcHO5m4MCQWV3jX0OKRjQDWT1rscIfMogatXFpsGp7olCTa8SZ30u6xE13M0ekRQN//Zx+uYqfCHeaDQOa1+sm2aeNASzbY2Euy0D/A77EejYRNJPpwcy1gKkIEQcLr43xl06DUUw2lEVLnjF4/3qjE+Sei2fhGTxEZMT/GnsMygE7dE/DK4nXaMUuebtM0rY1JDg11IEoh36cW+1IpOmcaahvxns2OyNGRPgP8R+wG8rO8wkrfuDNldFj+7g==" . . . . . . . "" . "Applied sciences" . . "service-account-enrichment" . . . . "61063"^^ . "https://api.rohub.org/api/ros/b5b86f8e-5c07-4b43-9b21-6df3bb6ebe72/crate/download/" . . "2022-01-11 10:37:21.504328+00:00" . "2025-03-05 01:19:47.813154+00:00" . "2022-01-11 10:37:21.504328+00:00" . "Street Spectra is a citizen science project to map and characterize public lighting sources. Volunteers use a low cost diffraction grating on top of their smartphones’ camera to take pictures of the street lamps and their emission spectra." . "application/ld+json" . . . . . . . "https://w3id.org/ro-id/b5b86f8e-5c07-4b43-9b21-6df3bb6ebe72" . . "Street Spectra" . "MANUAL" . "cost" . "diffraction grating" . "digital" . "emission spectrum" . "image" . "lamppost" . "lighting" . "smartphone" . "spectrum" . "volunteer" . "earth sciences" . "Photography" . "Wireless technology" . "citizen science" . "cost" . "diffraction grating" . "emission spectrum" . "lighting" . "smartphone" . "volunteer" . "engineering" . "citizen science project" . "cost diffraction grating" . "lighting source" . "pictures of the street lamps" . "street spectra" . "Camera to take pictures of the street lamps and their emission spectra." . "Street Spectra is a citizen science project to map and characterize public lighting sources." . "Volunteers use a low cost diffraction grating on top of their smartphones?" . . . . . . "photography" . "project, ACTION. \"Street Spectra.\" ROHub. Jan 11 ,2022. https://w3id.org/ro-id/b5b86f8e-5c07-4b43-9b21-6df3bb6ebe72." . "Datasets" . . . "Presentations" . . . "Publications" . . . . . "Software" . . . . . . "Documents" . . . . "https://five.epicollect.net/project/action-street-spectra" . . "2022-01-11 10:51:00.637210+00:00" . "2022-01-11 10:51:00.637736+00:00" . "Application in Epicollect to collect data" . . "Data Collector in Epicollect5" . "2022-01-11 10:51:00.637210+00:00" . . . . . "https://doi.org/10.5281/zenodo.3885566" . . "2022-01-11 10:47:28.165693+00:00" . "2022-01-11 10:47:28.166269+00:00" . "This document describes the different templates that are going to be developed in ACTION for helping pilots to export/use external platforms. Also, a new tool to create Data Management Plan documents based on a questionnaire will be described. Finally, a mini guide has been included to help users to create a CS project using the external platforms Epicollect and Zooniverse." . . "D4.2 Lifecycle-aware citizen science templates" . "2022-01-11 10:47:28.165693+00:00" . . . . . "51542"^^ . "https://api.rohub.org/api/resources/24952a29-d009-4c32-a16c-48ef780d8d5b/download/" . . "2022-01-11 10:38:11.122782+00:00" . "2022-01-11 10:38:11.124960+00:00" . "image/png" . . "ro-street.png" . "2022-01-11 10:38:11.122782+00:00" . . . . . "https://www.zooniverse.org/projects/actionprojecteu/street-spectra" . . "2022-01-11 10:56:05.208335+00:00" . "2022-01-11 10:56:05.209024+00:00" . . "Street Spectra - Zooniverse" . "2022-01-11 10:56:05.208335+00:00" . . . . . "https://doi.org/10.5281/zenodo.4041469" . . "2022-01-11 10:45:36.637238+00:00" . "2022-01-11 10:45:36.637879+00:00" . "This lesson plan is to be used in the classroom of 12 and 13 years old students and aims to educate its users on the topic of light pollution. \n\nAside from gaining awareness, the students will be introduced to the Street Spectra citizen science project through which they will learn how to analyze and classify sources of light pollution contributing to science as a citizen scientist.\n\nhttps://streetspectra.actionproject.eu/\n\nThese pages will discuss: artificial light at night in general, different types of light pollution, their negative effects as well as the most efficient way to install lighting sources in such a way that any negative impact is minimized.\n\nThe Street Spectra project with its objectives as well as its relationship to citizen science are explained during the course. Theory is accompanied with suggested activities adapted to the level of the students. \n\nWith this unit the authors intend to gather contents that can be implemented in the classroom, and which can serve as a guide so that both students and teachers can participate in this citizen science project.\n\nIn order for a citizen science project to grow the input of researchers, disseminators and a wide range of volunteers are needed. The participation of the students and teachers will directly help the study of light pollution." . . "Street Spectra - Teaching Materials" . "2022-01-11 10:45:36.637238+00:00" . . . . . "https://doi.org/10.5281/zenodo.3696492" . . "2022-01-11 10:48:49.624858+00:00" . "2022-01-11 10:48:49.625481+00:00" . "This document explains all the steps to obtain the spectra of street lights, how to determine their nature, and also how to contribute with this information to the StreetSpectra citizen science project. The first sections are devoted to introduce the StreetSpectra project, and also the light pollution (LP) problem. We have also included some of the science basics (LP and simple physics of spectra)." . . "Tutorial: to identify the spectra of common street lamps" . "2022-01-11 10:48:49.624858+00:00" . . . . . . . "ACTION project" . . . "2026-03-03T16:43:01.106+01:00"^^ . . . . "Street Spectra" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "RHmtw0ElE2f7GX9Mc5z2sDHQ4VzK8FTw7+CqBVMEkJfBJAA5WYBxOafk9gqePq8I8/jQUrckC8wIy/GXEevQl3HrWy6SgL13cBLBle7bbbHycV7uTKOtmMJhpquf8xs1l3bGLn+pdIWfs6ubRvtBDF91OP8UUgMheLMwLqQrCKvWB4nI4Po2op8afzhWsG4dUTzsQSVSpOAYxCpqoJ12quqcpIp17qX8CqH3OJ8Zn7J3959eCm8+pvHRxqLfb/8Dk84x80v9GyH9hVsTchdSAO1CBNfmzG9SehqQC1eQXWkhLrUojSgNz/D7SG8bfiD/rtgX1my8N+c29Cn4cKEZEg==" . . . . . . . "" . "Chemistry" . . "Małgorzata Wolniewicz" . . "benzene" . . "9.274193548387096" . "9.2" . "aromatic hydrocarbon" . . "5.94758064516129" . "5.9" . "scent" . . "4.536290322580645" . "4.5" . "oxygen atom" . . "4.032258064516129" . "4.0" . "Jewellery" . . "Arts, culture and entertainment/Arts and entertainment/Fashion/Jewellery" . "aromatic hydrocarbon" . . "8.695652173913043" . "5.0" . "carbon atom" . . "15.999999999999998" . "9.2" . "monocyclic ring" . . "14.285714285714286" . "5.7" . "heterocyclic compound" . . "6.451612903225806" . "6.4" . "chemistry and materials" . . "100.0" . "0.8506659269332886" . "aromatic compound" . . "29.739130434782613" . "17.1" . "aliphatic compound" . . "4.737903225806451" . "4.7" . "larger compound" . . "13.533834586466165" . "5.4" . "chemical compound" . . "15.826086956521738" . "9.1" . "Aromatic compounds are those chemical compounds (most commonly organic) that contain one or more rings with pi electrons delocalized all the way around them." . . "39.583333333333336" . "20.9" . "The configuration of six carbon atoms in aromatic compounds is called a \"benzene ring\", after the simple aromatic compound benzene, or a phenyl group when part of a larger compound." . . "39.015151515151516" . "20.6" . "ring" . . "3.125" . "3.1" . "aromatic compound benzene" . . "24.81203007518797" . "9.9" . "benzene ring" . . "3.528225806451613" . "3.5" . "chemical compound" . . "10.786290322580644" . "10.7" . "The term \"aromatic\" was assigned before the physical mechanism determining aromaticity was discovered, and referred simply to the fact that many such compounds have a sweet or pleasant odour; however, not all aromatic compounds have a sweet odour, and not all compounds with a sweet odour are aromatic compounds." . . "21.401515151515152" . "11.3" . "geochemistry" . . "100.0" . "0.4569866955280304" . "electron" . . "4.435483870967742" . "4.4" . "organic compound" . . "3.8306451612903225" . "3.8" . "chemistry and materials (general)" . . "100.0" . "0.8506659269332886" . "Organic chemical" . . "Economy, business and finance/Economic sector/Chemicals/Organic chemical" . "arene" . . "7.304347826086956" . "4.2" . "arene" . . "4.939516129032259" . "4.9" . "earth sciences" . . "100.0" . "0.4569866955280304" . "carbon atom" . . "10.786290322580644" . "10.7" . "organic chemistry" . . "65.91639871382637" . "41.0" . "chemistry" . . "34.08360128617363" . "21.2" . "oxygen atom" . . "17.794486215538846" . "7.1" . "nitrogen" . . "3.9314516129032255" . "3.9" . "benzene" . . "12.695652173913043" . "7.3" . "heterocyclic compound" . . "9.73913043478261" . "5.6" . "nitrogen atom" . . "29.573934837092732" . "11.8" . "aromatic" . . "19.657258064516128" . "19.5" . "service-account-enrichment" . . "https://w3id.org/ro-id/41f2cfe8-4c5b-4d35-849a-5e4aa7be5b42" . "https://w3id.org/ro-id/54c22dc5-ace3-4aaa-be62-b5b4dab97be6" . "https://w3id.org/ro-id/ba53e480-17bb-466f-b789-3533246d7b43" . "https://w3id.org/ro-id/de0b3951-0fa7-4b03-a1fa-d5c4da93a476" . . . "3749"^^ . "https://api.rohub.org/api/ros/0c470650-84d9-40e1-bc80-4591a27f6c4d/crate/download/" . . "2022-01-12 16:34:39.917729+00:00" . "2025-09-29 14:11:03.453262+00:00" . "2022-01-12 16:34:39.917729+00:00" . "Aromatic compounds are those chemical compounds (most commonly organic) that contain one or more rings with pi electrons delocalized all the way around them. In contrast to compounds that exhibit aromaticity, aliphatic compounds lack this delocalization. The term \"aromatic\" was assigned before the physical mechanism determining aromaticity was discovered, and referred simply to the fact that many such compounds have a sweet or pleasant odour; however, not all aromatic compounds have a sweet odour, and not all compounds with a sweet odour are aromatic compounds. Aromatic hydrocarbons, or arenes, are aromatic organic compounds containing solely carbon and hydrogen atoms. The configuration of six carbon atoms in aromatic compounds is called a \"benzene ring\", after the simple aromatic compound benzene, or a phenyl group when part of a larger compound.\n\nNot all aromatic compounds are benzene-based; aromaticity can also manifest in heteroarenes, which follow Hückel's rule (for monocyclic rings: when the number of its π electrons equals 4n + 2, where n = 0, 1, 2, 3, ...). In these compounds, at least one carbon atom is replaced by one of the heteroatoms oxygen, nitrogen, or sulfur. Examples of non-benzene compounds with aromatic properties are furan, a heterocyclic compound with a five-membered ring that includes a single oxygen atom, and pyridine, a heterocyclic compound with a six-membered ring containing one nitrogen atom." . "application/ld+json" . "https://w3id.org/ro-id/0c470650-84d9-40e1-bc80-4591a27f6c4d" . "chemistry" . . "Aromatic compounds" . "MANUAL" . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Wolniewicz, Małgorzata. \"Aromatic compounds.\" ROHub. Jan 12 ,2022. https://w3id.org/ro-id/0c470650-84d9-40e1-bc80-4591a27f6c4d." . . . . "False" . "https://w3id.org/ro-id/0c470650-84d9-40e1-bc80-4591a27f6c4d" . "2022-01-14 22:19:57.392548+00:00" . "https://w3id.org/ro-id/users/gosiaw%40man.poznan.pl" . . . "False" . "https://w3id.org/ro-id/0c470650-84d9-40e1-bc80-4591a27f6c4d" . "2025-07-05 19:04:55.078129+00:00" . "https://w3id.org/ro-id/users/gosiaw%40man.poznan.pl" . . . "False" . "https://w3id.org/ro-id/0c470650-84d9-40e1-bc80-4591a27f6c4d" . "2025-07-05 18:47:59.392957+00:00" . "https://w3id.org/ro-id/users/gosiaw%40man.poznan.pl" . . . "False" . "https://w3id.org/ro-id/0c470650-84d9-40e1-bc80-4591a27f6c4d" . "2025-07-04 09:08:44.261623+00:00" . "https://w3id.org/ro-id/users/gosiaw%40man.poznan.pl" . . . . "2026-03-03T16:42:58.315+01:00"^^ . . . . "Aromatic compounds" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "opCe5sLkbEPdmkw0pOgfAFWmzvn3qZ8w0K4mWMZkjey9x1U6fnLgAE6dL0dswcpFrUix9XmqSURXlzRJ/MspIqrKYwzYkUtkgKWdpzR6lQPactrL8Oi/einSkipK3SaCxrYZSGIqqwNm0mWotqUFR2t04j7klh5GMji6J4EXWbM7y+B/TVo6cHDjIvueaWpr2fs4X0GfFEgLwmTHA65uFFtZOEDVoVDt+E+rgCQ59yEZKFkm+UjqKw+4Hlf9JDls6dtREtZNt+AEYNz5dW2ofBqmMrKEZomI8fvRzlSMen5ZdbRPBQ2DEFu4P6VEmpU/TBAEV4NE1GJmff2RzblUXQ==" . . . . . . . "" . "Earth sciences" . . "service-account-enrichment" . . . . "12545"^^ . "https://api.rohub.org/api/ros/959fa202-b251-4fcd-8d5f-8ed83740fe43/crate/download/" . . "2022-01-12 19:56:50.046268+00:00" . "2025-03-05 01:23:32.908133+00:00" . "2022-01-12 19:56:50.046268+00:00" . "Norway is the land of fjords, trolls and – electric cars. By actively promoting the purchase of electric cars, the Norwegian government is aiming at protecting the environment and not least improving air quality, especially in urban areas. Air quality is still a reason for concern in many European countries, including the Nordic countries. Not many people are aware of this fact, and this is where the Norwegian pilot of the ACTION project comes in.\n\nThe pilot gives high school students in Oslo and the larger Oslo area the opportunity to design and carry out their own air quality projects, using an off-the-shelf air quality sensor platform. The aim is to create awareness about the sources of air pollution, make the students think of ways to reduce both emission and exposure and teach them scientific working methods. We use the Nova SDS011 sensor for measuring PM2.5 and PM10 that is transmitting data to an Arduino board. The data can be obtained through an SD card." . "application/ld+json" . . . . . "https://w3id.org/ro-id/959fa202-b251-4fcd-8d5f-8ed83740fe43" . . "STUDENTS, AIR POLLUTION AND DIY SENSING" . "MANUAL" . "Oslo" . "PM10" . "air pollution" . "air quality" . "awareness" . "electric car" . "emission" . "high school" . "information" . "opportunity" . "pilot" . "project" . "sensor" . "student" . "environmental sciences" . "Air pollution" . "High schools" . "Students" . "Oslo" . "air pollution" . "air quality" . "electric car" . "high school" . "sensor" . "student" . "geosciences" . "action project" . "air quality project" . "high school student" . "purchase of electric cars" . "sensor platform" . "By actively promoting the purchase of electric cars, the Norwegian government is aiming at protecting the environment and not least improving air quality, especially in urban areas." . "The aim is to create awareness about the sources of air pollution, make the students think of ways to reduce both emission and exposure and teach them scientific working methods." . "The pilot gives high school students in Oslo and the larger Oslo area the opportunity to design and carry out their own air quality projects, using an off-the-shelf air quality sensor platform." . . . . . . "ecology" . "Norway" . "Oslo" . "project, ACTION. \"STUDENTS, AIR POLLUTION AND DIY SENSING.\" ROHub. Jan 12 ,2022. https://w3id.org/ro-id/959fa202-b251-4fcd-8d5f-8ed83740fe43." . . "Presentations" . . . . . . "Publications" . . . . . "Datasets" . . . . "Software" . . . . "https://doi.org/10.5281/zenodo.3730478" . . "2022-01-12 20:54:02.708585+00:00" . "2022-01-12 20:54:02.709862+00:00" . "Forskningsprosjekt luftforurensning" . . "Forskningsprosjekt luftforurensning" . "2022-01-12 20:54:02.708585+00:00" . . . . . "https://doi.org/10.5281/zenodo.3737608" . . "2022-01-12 20:52:27.138627+00:00" . "2022-01-12 20:52:27.139413+00:00" . "This poster has been created by students of the Ullern Upper Secondary School, located in Oslo, Norway." . . "Systematiske målinger: Vi ønsker å finne ut om det akustiske miljøet har effekt på luftkvalitetens endringer" . "2022-01-12 20:52:27.138627+00:00" . . . . . "https://doi.org/10.5281/zenodo.3737759" . . "2022-01-12 20:48:05.309120+00:00" . "2022-01-12 20:48:05.309858+00:00" . "Measurements taken by a DIY sensor designed by the project air:bit (http://airbit.uit.no/#english). Measurements were taken by students of the school Lambertseter VGS, located in the district of Nordstrand in Oslo, Norway." . . "Lambertseter VGS" . "2022-01-12 20:48:05.309120+00:00" . . . . . "https://doi.org/10.5281/zenodo.3737635" . . "2022-01-12 20:51:50.182916+00:00" . "2022-01-12 20:51:50.183388+00:00" . "This poster has been created by students of the Ullern Upper Secondary School, located in Oslo, Norway." . . "Trafikkforurensing: Trafikkerte områder er mer utsatt for forurensing" . "2022-01-12 20:51:50.182916+00:00" . . . . . "https://doi.org/10.5281/zenodo.3956481" . . "2022-01-12 20:50:39.286485+00:00" . "2022-01-12 20:50:39.287215+00:00" . "Firmware of an Arduino board integrated with  a Nova SDS011 sensor for measuring PM2.5 and PM10. The data can be obtained through an SD card." . . "ARDUINO_UNO_WITH_NOVASDS011_Firmware" . "2022-01-12 20:50:39.286485+00:00" . . . . . "https://doi.org/10.5281/zenodo.3730457" . . "2022-01-12 20:54:42.876507+00:00" . "2022-01-12 20:54:42.877542+00:00" . "This deliverable serves as a handbook for air quality projects in high schools. It contains information about the ACTION air quality pilot in high schools, tips and lessons learned as well as material that has been used and created within the high school projects." . . "Tutorial for air quality projects in high schools" . "2022-01-12 20:54:42.876507+00:00" . . . . "https://doi.org/10.5281/zenodo.3737799" . . "2022-01-12 20:49:30.350970+00:00" . "2022-01-12 20:49:30.352122+00:00" . "Measurements taken by a DIY sensor (Sensor 2) designed by the project air:bit (http://airbit.uit.no/#english). Measurements were taken by students of the school Lambertseter VGS, located in the district of Nordstrand in Oslo, Norway." . . "Lambertseter VGS" . "2022-01-12 20:49:30.350970+00:00" . . . . . . . "ACTION project" . . . "2026-03-03T16:42:56.886+01:00"^^ . . . . "STUDENTS, AIR POLLUTION AND DIY SENSING" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "qWrRN0aiR+RDOdvWGo+35G1dc78KjlJbBricxMXQyoa+MCUpsgdJrwArQ5j1qsJkiRueck6Zb9iUG8/ookb9o7FUxqfyBsY7qyzKO7bGmdEKQKEd+5YQnp37FGzcqy/63Yj9PVPYZzV63X/DnrQdQW5meg95C06/QnEMNHQpSozhLDjPtMHBLlbZDuQoAUlSeKGUIbRX/52idXRs66+mpxxtZR9u0vIQ3LdM1c/edYMP0yqe8FqoLTX8XlTYQCOh6Loa8SPMwAGWKlLm3p30MBtL9rOoff/x6cNcDE+Y6WilYvt/bP6LlxWuNNmSy3TI5vR+Q0Dl5aTvvu2cKAH3TA==" . . . . . . . "" . "Applied sciences" . . "service-account-enrichment" . . . . "13797"^^ . "https://api.rohub.org/api/ros/370d93ab-df01-46de-982e-0ef74b3acf8a/crate/download/" . . "2022-01-12 20:56:44.324225+00:00" . "2025-03-05 02:45:35.385678+00:00" . "2022-01-12 20:56:44.324225+00:00" . "The Noise Maps project focused on deploying a citizen science process in the neighborhoods of Sagrada Familia and the Raval (Barcelona) to address the challenge of noise pollution, a serious problem related to health problems (lack of sleep, psychological ailments, cardiovascular disease, risk of higher stroke) and negative social effects (weakness of social cohesion and coexistence, reduced quality of life, loss of cultural diversity). Noise pollution was an urgent problem in the pilot areas, with active community groups on the lookout for a solution to help improve their living conditions." . "application/ld+json" . . . . . . . . "https://w3id.org/ro-id/370d93ab-df01-46de-982e-0ef74b3acf8a" . . "NOISE MAPS" . "MANUAL" . "Sagrada Família" . "ailment" . "cardiovascular disease" . "challenge" . "coexistence" . "community" . "health problem" . "noise pollution" . "problem" . "project" . "quality of life" . "scout" . "earth sciences" . "Church" . "Environmental pollution" . "Psychology" . "Science and technology" . "Social condition" . "Noise Maps" . "cardiovascular disease" . "challenge" . "health problem" . "noise pollution" . "problem" . "quality of life" . "geosciences" . "Noise Maps project" . "challenge of noise pollution" . "problem in the pilot area" . "psychological ailment" . "urgent problem" . "NOISE MAPS." . "The Noise Maps project focused on deploying a citizen science process in the neighborhoods of Sagrada Familia and the Raval (Barcelona) to address the challenge of noise pollution, a serious problem related to health problems (lack of sleep, psychological ailments, cardiovascular disease, risk of higher stroke) and negative social effects (weakness of social cohesion and coexistence, reduced quality of life, loss of cultural diversity) Noise pollution was an urgent problem in the pilot areas, with active community groups on the lookout for a solution to help improve their living conditions." . . . . . . "medicine" . "Barcelona" . "project, ACTION. \"NOISE MAPS.\" ROHub. Jan 12 ,2022. https://w3id.org/ro-id/370d93ab-df01-46de-982e-0ef74b3acf8a." . "data" . . . . "Audios" . . . . "Datasets" . . . "raw data" . . . . "Software" . . . . . . . "Additional_Information" . . . . "Presentations" . . . . "http://www.bitlab.cat/en/projectes/noise-maps/" . . "2022-01-12 21:10:54.457704+00:00" . "2022-01-12 21:10:54.458641+00:00" . . "NoiseMaps website" . "2022-01-12 21:10:54.457704+00:00" . . . . "https://www.instamaps.cat/visor.html?businessid=1975f976dff9d780c23a1db01eb37ec3" . . "2022-01-12 21:10:30.483090+00:00" . "2022-01-12 21:10:30.483591+00:00" . "Platform of the Geographical Institute of Catalunya" . "text/html" . . "Instmaps website" . "2022-01-12 21:10:30.483090+00:00" . . . . . "https://dashboards.dataportal.actionproject.eu/" . . "2022-01-12 21:09:07.283838+00:00" . "2022-01-12 21:09:07.284429+00:00" . "Dashboards created in Grafana to visualze data" . . "Noise Maps Dashboards" . "2022-01-12 21:09:07.283838+00:00" . . . . . "https://freesound.org/people/bitlab_coop/packs/30131/" . . "2022-01-12 21:04:23.581144+00:00" . "2022-01-12 21:04:23.581715+00:00" . "Collection of ambient urban ourdoors audios from Raval" . . "Raval May2020" . "2022-01-12 21:04:23.581144+00:00" . . . . "https://doi.org/10.5281/zenodo.4059533" . . "2022-01-12 21:05:06.768056+00:00" . "2022-01-12 21:05:06.769024+00:00" . "The Noise Maps project focused on deploying a citizen science process in the Barcelona neighborhoods of Sagrada Familia and the Raval to address the challenge of noise pollution. The sound data was generated between May and September 2020." . . "Noise Maps ACTION pilot data 2020" . "2022-01-12 21:05:06.768056+00:00" . . . . "https://github.com/pzinemanas/AudioMoth-Firmware-SPL" . . "2022-01-12 21:01:13.650377+00:00" . "2022-01-12 21:01:13.650871+00:00" . "This repository contains an AudioMoth firmware adaptation to calculate the Sound Pressure Level (SPL). This is based on the 1.3.0 version of AudioMoth firmware (published on AudioMoth-Project and AudioMoth-Firmware-Basic). We include the SPL library (src/spl.c and inc/spl.h) that implement all the functions related to the SPL estimation." . . "AudioMoth-Firmware-SPL" . "2022-01-12 21:01:13.650377+00:00" . . . . . "https://doi.org/10.5281/zenodo.4068095" . . "2022-01-12 21:11:57.606752+00:00" . "2022-01-12 21:11:57.607269+00:00" . "This presentation will help ACTION pilots to create their own dashboards" . . "Data visualization with Grafana" . "2022-01-12 21:11:57.606752+00:00" . . . . . "https://ars.electronica.art/keplersgardens/en/sonic-heritage/" . . "2022-01-12 21:13:10.635968+00:00" . "2022-01-12 21:13:10.636470+00:00" . "Results were presented in the ArsElectronica  2020 congress" . . "ArsElectronica 2020" . "2022-01-12 21:13:10.635968+00:00" . . . . . . . "ACTION project" . . . "2026-03-03T16:42:55.527+01:00"^^ . . . . "NOISE MAPS" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "JANqf05ECUlGx8QdAw6rUKQYLQPJVBcbliAbWGoJtzB8irBFoBE+sadRsUTW/m1ZonWBA6X3eIaWKsbQCh1lI3+dtR2L1BEk/ORL7bJBL81Fme64mO7Ff1aQChQzGCi92tO1/4ys3Q9vuiWtEseB+uwN0J6L07Fk+Sl/eQWLf7zW9ZMGPqNnGxC05sI93iG0XTbSI/PkMw/YtvYh3hfl0omiXSW+Nr1QuFrA2YymGc2VcJFEYtqvMon3V2VRkMdwmz14ar1IbDV6OkjKSWpLq3jnYhDhbCq0nx3I8xf1SDG4R+kXhzfI4VAuYYxzpZ/wvmDZxAs57P5BhflNG2DwQQ==" . . . . . . . "" . "Applied sciences" . . "service-account-enrichment" . . . . "13653"^^ . "https://api.rohub.org/api/ros/4776fc21-01a3-4806-b248-70a577cbc6b0/crate/download/" . . "2022-01-12 21:39:57.720721+00:00" . "2025-03-05 01:19:11.360337+00:00" . "2022-01-12 21:39:57.720721+00:00" . "The Sonic Kayak system is a low cost open hardware for gathering and mapping fine-scale marine environmental data, which has not been previously possible to obtain. Data is sonified through an onboard speaker allowing paddlers to seek out areas of interest and gain real time feedback of the data. At the beginning of the project, the system included underwater temperature sensors and a hydrophone for measuring underwater sound, each recording data every second with GPS, time and date. Working with ACTION, two new environmental sensors have been designed and integrated into the existing system (turbidity and air quality). New data have been gathered and citizens have been engaged in two online citizen science style surveys. In the first one people could try out 4 different data sonification approaches and see which was the most straightforward for understanding the underlying environmental data, and also give their preferences on which sounds they liked the best. In the second one, feedback on the pilot activities were gathered." . "application/ld+json" . . . . . . "https://w3id.org/ro-id/4776fc21-01a3-4806-b248-70a577cbc6b0" . . "SONIC KAYAKS" . "MANUAL" . "canoeist" . "citizen" . "data" . "feedback" . "hydrophone" . "information" . "preference" . "real time" . "sensor" . "sonification" . "study" . "temperature" . "earth sciences" . "Canoeing" . "Kayaking" . "data" . "feedback" . "hydrophone" . "real time" . "sensor" . "sonification" . "survey" . "life sciences" . "real time feedback" . "recording data" . "sonification approach" . "style survey" . "temperature sensor" . "Data is sonified through an onboard speaker allowing paddlers to seek out areas of interest and gain real time feedback of the data." . "In the first one people could try out 4 different data sonification approaches and see which was the most straightforward for understanding the underlying environmental data, and also give their preferences on which sounds they liked the best." . "The Sonic Kayak system is a low cost open hardware for gathering and mapping fine-scale marine environmental data, which has not been previously possible to obtain." . . . . . . "computer science" . "scientific terms" . "technical terminology" . "project, ACTION. \"SONIC KAYAKS.\" ROHub. Jan 12 ,2022. https://w3id.org/ro-id/4776fc21-01a3-4806-b248-70a577cbc6b0." . . . . . "Additional_Information" . . . . "Publications" . . . . "Software" . . . . "Video" . . . . "Datasets" . . . . "https://fo.am/blog/2020/08/17/sonic-kayak-update-new-sensors-sonifications-and-visualisations/" . . "2022-01-12 21:45:23.695160+00:00" . "2022-01-12 21:45:23.695860+00:00" . "This post is to let you know about the changes we've made and new things available within the project, and to call for your feedback and thoughts via the survey at the end." . . "Sonic Kayak update - new sensors, sonifications, and visualisations" . "2022-01-12 21:45:23.695160+00:00" . . . . "https://github.com/fo-am/sonic-kayaks" . . "2022-01-12 21:41:03.488190+00:00" . "2022-01-12 21:41:03.488763+00:00" . "Originally based on the Sonic Bikes system, a Raspberry Pi based citizen science project where kayaks become musical & scientific instruments for investigating the marine world." . . "Device Firmware" . "2022-01-12 21:41:03.488190+00:00" . . . . . "https://fo.am/blog/2020/06/30/sonic-kayak-environmental-data-sonification/" . . "2022-01-12 21:44:54.129696+00:00" . "2022-01-12 21:44:54.130248+00:00" . "Sonic Kayaks are rigged with sensors, both underwater (temperature, sound, and turbidity) and above water (air pollution). As the kayaker paddles around, the sensors pick up changes in the environment, and these are played to the kayaker in real time through an on-board speaker." . . "Environmental Data Sonification" . "2022-01-12 21:44:54.129696+00:00" . . . . "https://doi.org/10.5281/zenodo.4041588" . . "2022-01-12 21:43:21.850780+00:00" . "2022-01-12 21:43:21.851256+00:00" . "These data sets are the result of five trips using Sonic Kayaks to collect data as part of the ACTION Project. The sampling was carried out in the Penryn river, around Falmouth docks and the Helford estuary. A variety of sensors were used:" . . "Sonic Kayaks geolocated air pollution, water turbidity, temperature and hydrophone analysis" . "2022-01-12 21:43:21.850780+00:00" . . . . . "https://fo.am/blog/2020/05/05/sonic-kayak-progress-new-pollution-sensors-for-citizen-science/" . . "2022-01-12 21:49:05.158199+00:00" . "2022-01-12 21:49:05.158808+00:00" . "Post that describes the device" . . "Sonic Kayak progress – new pollution sensors for citizen science" . "2022-01-12 21:49:05.158199+00:00" . . . . "https://www.flickr.com/photos/foam/albums/72157715979200366" . . "2022-01-12 21:44:11.524385+00:00" . "2022-01-12 21:44:11.525013+00:00" . "Collection of maps based on the measurements taken by devices" . . "Observations taken by citizens represented on a Map" . "2022-01-12 21:44:11.524385+00:00" . . . . "https://magpi.raspberrypi.com/issues/97/pdf" . . "2022-01-12 21:42:35.214419+00:00" . "2022-01-12 21:42:35.215144+00:00" . "Magizine of Rasberry Pi projects. It includes an article about Sonic Kayacs" . . "The MagPi - Issue 97" . "2022-01-12 21:42:35.214419+00:00" . . . . . "https://www.youtube.com/watch?v=puLXKj1AVAk" . . "2022-01-12 21:49:38.295745+00:00" . "2022-01-12 21:49:38.296142+00:00" . . "Sonic Kayaks - citizen science in the marine environment for the ACTION project" . "2022-01-12 21:49:38.295745+00:00" . . . . . . "ACTION project" . . . "2026-03-03T16:42:54.152+01:00"^^ . . . . "SONIC KAYAKS" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "Lc6iBzXpfkTbnzNTVfeDGhk3Mkowi4TCyl/L06bvewrSyVNnMjOqXyrgQksMm/KkqwOnvPiMfGksT8uB3btkOY+ttXuW/PngDt4P1tV99TVxIkvVKctDrp395MuHQGP8Ly12m9stUpT159o6YGLghO4nUdbXM/0ne4UKg6IZf8FCRB8TEggY7GzuIysh31kgC4XoQ0/Ox60Pwkbwtd+8wgGeKeegUhoWH184ew2LHeAg04xeVWRK+PeH+4yibC+Cqkfbyerw7Dze4OTVOnXkf0jGVN8xuy/63RMAooP+lwGmwCfz0zkSuaodVCC9RB9fxxrfZSUUFFs+hagL7uX6pA==" . . . . . . . "" . "Applied sciences" . . "service-account-enrichment" . . . . "8699"^^ . "https://api.rohub.org/api/ros/b7601048-d964-4c6f-92ac-f6956817dd44/crate/download/" . . "2022-01-12 23:11:01.694528+00:00" . "2025-03-05 00:55:14.849586+00:00" . "2022-01-12 23:11:01.694528+00:00" . "The aim of the project was to to understand and map the use of pesticides and fertilizers in the context of home farming and gardening. Simultaneously, it aimed to disseminate information on the topic with the final aim of reducing the use of pesticides and fertilizers." . "application/ld+json" . . . . "https://w3id.org/ro-id/b7601048-d964-4c6f-92ac-f6956817dd44" . . "IN MY BACKYARD" . "MANUAL" . "backyard" . "context" . "farming" . "fertiliser" . "horticulture" . "information" . "pesticide" . "project" . "purpose" . "subject" . "use" . "earth sciences" . "Agriculture" . "Fertiliser" . "aim" . "farming" . "fertilizer" . "gardening" . "pesticide" . "project" . "topic" . "aeronautics" . "aim of the project" . "fertilizers in the context" . "final aim" . "home farming" . "use of pesticide" . "IN MY BACKYARD." . "Simultaneously, it aimed to disseminate information on the topic with the final aim of reducing the use of pesticides and fertilizers." . "The aim of the project was to to understand and map the use of pesticides and fertilizers in the context of home farming and gardening." . . . . . . "agriculture" . "project, ACTION. \"IN MY BACKYARD.\" ROHub. Jan 12 ,2022. https://w3id.org/ro-id/b7601048-d964-4c6f-92ac-f6956817dd44." . . . . "Publications" . . . . "Datasets" . . . . "Presentations" . . . . "https://doi.org/10.5281/zenodo.4081585" . . "2022-01-12 23:13:53.593108+00:00" . "2022-01-12 23:13:53.593689+00:00" . "Description of project, process, take aways and impact." . . "Project reflections and take aways" . "2022-01-12 23:13:53.593108+00:00" . . . . "https://doi.org/10.5281/zenodo.4081597" . . "2022-01-12 23:14:20.032977+00:00" . "2022-01-12 23:14:20.033714+00:00" . "Project Final Report" . . "Project Final Report" . "2022-01-12 23:14:20.032977+00:00" . . . . "https://doi.org/10.5281/zenodo.4081778" . . "2022-01-12 23:12:03.296651+00:00" . "2022-01-12 23:12:03.297278+00:00" . "In My Backyard: On-Site Survey Responses Raw Dataset" . . "On-Site Survey Responses Raw Dataset" . "2022-01-12 23:12:03.296651+00:00" . . . . "https://doi.org/10.5281/zenodo.4081770" . . "2022-01-12 23:12:48.624112+00:00" . "2022-01-12 23:12:48.624923+00:00" . "In My Backyard is a citizen science project promoted by Rio Neiva – Environmental NGO and its partner CEA – Municipal Centre for Environmental Education, both based in Esposende, Portugal. It was funded through the ACTION project. In My Backyard aimed to understand the use of harmful pesticides and fertilizers in home farming and gardening and uncovering sustainable alternatives practiced within domestic backyards." . . "Data Analysis Report" . "2022-01-12 23:12:48.624112+00:00" . . . . "https://doi.org/10.5281/zenodo.4081606" . . "2022-01-12 23:13:27.546138+00:00" . "2022-01-12 23:13:27.546890+00:00" . "Project key insights - Presentation at EU Week of Regions and Cities, 8th October, Session Citizens safeguarding the environment - https://europa.eu/regions-and-cities/programme/sessions/1451_en" . . "Key Insights" . "2022-01-12 23:13:27.546138+00:00" . . . . . . "ACTION project" . . . "2026-03-03T16:42:52.831+01:00"^^ . . . . "IN MY BACKYARD" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "Xrqh7WTQj7SfCRck8XuiKggMvFr9rtfbfxuLI/jKXmR8biOiCOiH6kby9+HGV1SqGMrFyXmBfK1ubLiAL1k86sEFAirG2MuhJk0XMd9na96rM2mQjHHq6OnovF1HlcmqfFATHwYiRTXMzYoU4XAvSaLq5zx86mGAq5s93TEJs7npdF4B1CuzQZ8Kf/oBDqeZksiXfGz7pnf1H11xxOKEbEvOHreYM+H/66HipkI7ClXcwzbXZmEGVJGhom/aS8i5NyYOx2FW1RqzxVi5ntQyhqjVyoyB9E4Vt8CnrmhN4gx3LqvOKxv4XXV1b3AhQhEzlnUjXlHdngLsSPhSe4VtQw==" . . . . . . . "" . "Applied sciences" . . "service-account-enrichment" . . . . "8966"^^ . "https://api.rohub.org/api/ros/7f2a62c1-21cb-42b1-875f-e7d2d19873c8/crate/download/" . . "2022-01-12 23:15:44.728087+00:00" . "2025-03-05 01:27:07.174680+00:00" . "2022-01-12 23:15:44.728087+00:00" . "The Po Valley in Northern Italy has one of the worst air qualities in Europe, with many of its cities regularly surpassing the threshold levels for PM concentrations considered safe for human health. Luckily, trees can play a role in tackling this problem: studies all over the world are demonstrating the ability of trees in capturing PM, but evidence is needed at the local level." . "application/ld+json" . . . . "https://w3id.org/ro-id/7f2a62c1-21cb-42b1-875f-e7d2d19873c8" . . "WOW NATURE" . "MANUAL" . "Europe" . "Northern Italy" . "air quality" . "city" . "evidence" . "hanger" . "health" . "prime minister" . "problem" . "safe" . "study" . "threshold level" . "trees" . "wow" . "earth sciences" . "Air pollution" . "Arrest" . "Executive (government)" . "Government" . "Ministers (government)" . "Europe" . "Po Valley" . "air quality" . "evidence" . "study" . "threshold level" . "tree" . "aeronautics" . "Po Valley in Northern Italy" . "ability of trees" . "demonstrate the ability" . "worst air qualities" . "wow nature" . "Luckily, trees can play a role in tackling this problem: studies all over the world are demonstrating the ability of trees in capturing PM, but evidence is needed at the local level." . "The Po Valley in Northern Italy has one of the worst air qualities in Europe, with many of its cities regularly surpassing the threshold levels for PM concentrations considered safe for human health." . "WOW NATURE." . . . . . . "Europe" . "Northern Italy" . "project, ACTION. \"WOW NATURE.\" ROHub. Jan 12 ,2022. https://w3id.org/ro-id/7f2a62c1-21cb-42b1-875f-e7d2d19873c8." . . "Publications" . . . . "Presentations" . . . . . . "Datasets" . . . . "https://doi.org/10.5281/zenodo.5236660" . . "2022-01-12 23:19:02.899248+00:00" . "2022-01-12 23:19:02.899697+00:00" . "Air pollution Device Measurements [\\\"pm1\\\",\\\"pm2p5\\\",\\\"pm4\\\",\\\"pm10\\\",\\\"humidity\\\"]" . . "WOW Nature - Bosco del ponte del Quarelo" . "2022-01-12 23:19:02.899248+00:00" . . . . . "https://zenodo.org/record/5236644" . . "2022-01-12 23:16:42.817433+00:00" . "2022-01-12 23:16:42.818218+00:00" . "Air pollution Device Measurements [\\\"pm1\\\",\\\"pm2p5\\\",\\\"pm4\\\",\\\"pm10\\\",\\\"humidity\\\"]" . . "WOW Nature - Bosco di Prasaccon" . "2022-01-12 23:16:42.817433+00:00" . . . . "https://doi.org/10.5281/zenodo.5842495" . . "2022-01-12 23:19:37.582385+00:00" . "2022-01-12 23:19:37.583025+00:00" . "Final presentation of Wow Nature" . . "Wow Nature - Final Presentation" . "2022-01-12 23:19:37.582385+00:00" . . . . . "https://doi.org/10.5281/zenodo.5842501" . . "2022-01-12 23:20:29.569248+00:00" . "2022-01-12 23:20:29.569658+00:00" . "This report summarizes the aims, design, implementation, and results of the WOWNATURE project, a project developed in the context of the first ACTION open call, i.e., a call for citizen science projects related to pollution funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 824603. The project aimed to measure the air pollution mitigation capacity of urban and peri-urban forests by using innovative sensors and by engaging citizens throughout the process (i.e., experiment design, safekeeping of sensors, and dissemination of results) with the support of the WOWnature web-based platform, thus strengthening the argument in their favour as an effective policy to tackle air pollution." . . "WOW Nature - Final Report" . "2022-01-12 23:20:29.569248+00:00" . . . . . "https://doi.org/10.5281/zenodo.5236621" . . "2022-01-12 23:17:49.255133+00:00" . "2022-01-12 23:17:49.255593+00:00" . "Air pollution Device Measurements [\\\"pm1\\\",\\\"pm2p5\\\",\\\"pm4\\\",\\\"pm10\\\",\\\"humidity\\\"]" . . "Wow Nature - Bosco Limite" . "2022-01-12 23:17:49.255133+00:00" . . . . . . . "ACTION project" . . . "2026-03-03T16:42:51.504+01:00"^^ . . . . "WOW NATURE" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "ksdnFNHlutecRtMlWv02l3EY/TtR3psYxnD5wmkc72H+UWISrB2eO/iXo/JdsRLU9xBOf+mKomJ2/I0qW4VytF9XiKQL5TkowwoSxqiHlKsKzVjdOoSuCi2sNF6+M4r9pgeu9ZEp6pU3Juaitw2BGvG8cE5JvrINs2PS5dMXuM01lzAh8dldaaZqcFfQKnWNY9V9blCihxc2pQ2fS4QHg2GzfbFaIwUPwXZTiyAyYE9YdMUP5iW/af/L98Q1ii2AeGJki9dyrkG4WY1TptritjFUns+7qqipCNuHnqLiBpWL1Hlpd6WbSx5GVzR6Ca3m06qCttAtD/jcoBVZtE7FVw==" . . . . . . . "" . "Applied sciences" . . "" . "Earth sciences" . . "" . "Climatology" . . "" . "Earth observation" . . . "Stockholm" . "Department of Environmental Science" . . . "Sweden" . . "Amazonia" . . "South South America" . "AERONET" . . . "Siberia" . . "physics" . . "statistics" . . "biomass" . . "product" . . "Far East" . . "correlation" . . "land" . . "India" . . "trend of aerosol optical depth" . . "burning" . . "aod trend" . . "increasing biomass" . . "trends in AOD" . . "Europe" . . "use of the Pangeo platform" . . "aerosol particle emission" . . "agreement" . "Stockholm University" . . . "Europe" . . "study" . . "rise" . . "trend" . . "South North America" . . "North Africa" . . "emission" . . "India" . . "North North America" . . "Far East" . "service-account-enrichment" . . . . . . . "3593453"^^ . "https://api.rohub.org/api/ros/74cd76d8-24f6-48a8-9fd6-db3ddab4e22f/crate/download/" . . "2022-01-13 14:53:25.137366+00:00" . "2025-03-05 00:59:13.833840+00:00" . "2022-01-13 14:53:25.137366+00:00" . "This study is made possible by the use of the Pangeo platform (Pangeo notebook), which is an open-source community for Big Data geosciences.\n\nWe investigate regional trends in aerosol optical depth (AOD) from both satellite (MODIS) and ground-based (AERONET stations) measurements over land over the past 20 years. A good agreement is found between the two datasets when the spatial coverage of the stations is homogeneous. AOD increases significantly over northern North-America, India, Siberia and southern South America, while it decreases over Europe, Amazonia and southern North-America. In order to estimate the contribution of trends in biomass burning emissions to regional AOD trends, we use the burnt area of the monthly satellite product GFED4 as a proxy to calculate regional trends in biomass burning emissions for the period 2000-2015. Biomass burning emissions increase significantly over northern North America and East Asia, while they decrease over Europe, southern South America and northern Africa. We calculate the correlation between regional area burned and regional AOD to estimate regions where a significant trend in area burned can lead to a significant trend in AOD. We find that the increasing biomass burning emissions in northern North-America is likely to be the cause of the increase in AOD in this region. We also find that the significant increase in biomass burning emissions over East Asia cannot explain the negative observed trend in AOD. The reduction in anthropogenic aerosol particle emissions is probably the main driver of the AOD trend in this region. Finally, we construct a multivariate linear model to retrieve the global absolute change in AOD, using only the absolute change in regional burned area for the period 2000-2015. We show that the regional burned area is a good parameter for estimating the trend of AOD in most regions, since the covariation between biomass burning and AOD is strong due to their direct link and dependence to similar teleconnections." . "application/ld+json" . . "https://w3id.org/ro-id/74cd76d8-24f6-48a8-9fd6-db3ddab4e22f" . . "Global and regional trends in AOD and their link to biomass burning emissions" . "MANUAL" . . . . . . "Khadir, Théodore . \"Global and regional trends in AOD and their link to biomass burning emissions.\" ROHub. Jan 13 ,2022. https://w3id.org/ro-id/74cd76d8-24f6-48a8-9fd6-db3ddab4e22f." . "Notebook, functions file, Abstract" . . . . . "AOD_and_biomassburning_trends" . . . . "185161"^^ . "https://api.rohub.org/api/resources/92ef4b6c-592d-4b86-afbc-a66bad45301d/download/" . . "2022-01-13 16:46:18.333267+00:00" . "2022-01-13 16:46:18.334036+00:00" . "figure to loaded in the notebook" . "image/png" . . "Workflow multivariate regression model" . "2022-01-13 16:46:18.333267+00:00" . . . . . "14832"^^ . "https://api.rohub.org/api/resources/9617b5e8-0654-4d3f-9af3-97af8dae8f0a/download/" . . "2022-01-13 16:10:15.528535+00:00" . "2022-01-13 16:10:15.529439+00:00" . "application/vnd.openxmlformats-officedocument.wordprocessingml.document" . . "Abstract for EGU 2022" . "2022-01-13 16:10:15.528535+00:00" . . . . "85022"^^ . "https://api.rohub.org/api/resources/a395a422-c558-48a7-a9a6-c2da875514cb/download/" . . "2022-01-13 16:45:28.461286+00:00" . "2022-01-13 16:46:40.635066+00:00" . "text/x-python" . . "Functions" . "2022-01-13 16:45:28.461286+00:00" . . . . . "4543223"^^ . "https://api.rohub.org/api/resources/ee9822f3-9097-49ef-b15a-aa98f50e9de6/download/" . . "2022-01-13 16:08:16.186435+00:00" . "2022-01-13 16:48:39.581368+00:00" . "Introduction / Methodology / Data processing / Analysis" . . "Global and regional trends in AOD and their link to biomass burning emissions" . "2022-01-13 16:08:16.186435+00:00" . . . . . . . "Théodore Khadir" . . . "2026-03-03T16:42:50.077+01:00"^^ . . . . "Global and regional trends in AOD and their link to biomass burning emissions" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "CUCuJ8BezIhuixAmQQztwkAspGP8ziF/nHu3sXJmcfng0Hs7dq/9XAn/op1nykCcHQ0uBFwdy7USs/x4bOyMu01MYHRTWhcD68RQNVgDGnCpvfNMmPbCG6sC2/GlH7UvmqD9LArzoOrxXtzueVcEQvclSV3b6DifjehFqkyOq+VZxTDAz8ZGACo2S61tyDKBeBNizc5Nscm0STsgxuC+LstsNa4cLDs7ARzUyoHQmY5jFsu00faQsBlaE+fGhfTAPH3YJ4+hETKcS9DB3wNicmURkSDp22w91BRtqmuJ69azaeRKuvzUHBui0WX550ef1CjHSvTteYZwtgJ7Iu5JcQ==" . . . . . . . "" . "Biology" . . "Małgorzata Wolniewicz" . . "False" . "https://w3id.org/ro-id/95388c3d-c10d-40c5-8ac1-7f92ae6ad243" . "2025-08-12 08:02:25.321821+00:00" . "https://w3id.org/ro-id/users/gosiaw%40man.poznan.pl" . . . "2022-02-10 13:15:21.762950+00:00" . "https://w3id.org/ro-id/users/liza.poltavchenko00%40gmail.com" . . . . "https://w3id.org/ro-id/95388c3d-c10d-40c5-8ac1-7f92ae6ad243" . "2022-02-10 13:17:01.865011+00:00" . "https://w3id.org/ro-id/users/liza.poltavchenko00%40gmail.com" . . . . "https://w3id.org/ro-id/95388c3d-c10d-40c5-8ac1-7f92ae6ad243" . "2022-02-10 13:12:47.169623+00:00" . "https://w3id.org/ro-id/users/liza.poltavchenko00%40gmail.com" . . . . "https://w3id.org/ro-id/95388c3d-c10d-40c5-8ac1-7f92ae6ad243" . "environmental science and management" . . "100.0" . "0.6445436477661133" . "attention deficit hyperactivity disorder" . . "32.85457809694793" . "18.3" . "mental disorder" . . "3.426791277258567" . "3.3" . "distraction" . . "5.919003115264798" . "5.7" . "attention" . . "5.815160955347872" . "5.6" . "individuals with ADHD" . . "7.416879795396419" . "5.8" . "School" . . "Education/School" . "Mental and behavioural disorder" . . "Health/Diseases and conditions/Mental and behavioural disorder" . "impulsiveness" . . "5.815160955347872" . "5.6" . "life sciences" . . "100.0" . "0.989045262336731" . "Some individuals with ADHD also display difficulty regulating emotions, or problems with executive function." . . "22.572178477690287" . "17.2" . "life sciences (general)" . . "100.0" . "0.989045262336731" . "problem" . . "13.824057450628365" . "7.7" . "disorder" . . "12.772585669781932" . "12.3" . "difficulty" . . "10.412926391382404" . "5.8" . "neurodevelopmental disorder" . . "62.65984654731457" . "49.0" . "problem" . . "9.345794392523365" . "9.0" . "diagnosis" . . "6.645898234683282" . "6.4" . "environmental sciences" . . "100.0" . "0.6445436477661133" . "inattention" . . "9.515260323159785" . "5.3" . "substance use disorder" . . "19.565217391304348" . "15.3" . "emotions" . . "4.984423676012462" . "4.8" . "difficulty" . . "6.853582554517134" . "6.6" . "behavioral disorder" . . "12.208258527827647" . "6.8" . "disorder" . . "10.951526032315979" . "6.1" . "Attention deficit hyperactivity disorder (ADHD) is a behavioral and neurodevelopmental disorder characterized by inattention, hyperactivity, and impulsivity, which are pervasive, impairing, and otherwise age inappropriate." . . "59.31758530183727" . "45.2" . "individual" . . "4.7767393561786085" . "4.6" . "symptom" . . "4.569055036344757" . "4.4" . "school performance" . . "5.626598465473147" . "4.4" . "For a diagnosis, the symptoms have to be present for more than six months, and cause problems in at least two settings (such as school, home, work, or recreational activities). In children, problems paying attention may result in poor school performance." . . "18.11023622047244" . "13.8" . "medicine" . . "100.0" . "12.8" . "mental disorders" . . "4.731457800511508" . "3.7" . "behavioural disorder" . . "7.4766355140186915" . "7.2" . "attention deficit hyperactivity disorder" . . "21.599169262720665" . "20.8" . "diagnosis" . . "10.23339317773788" . "5.7" . "service-account-enrichment" . . "https://w3id.org/ro-id/4db62ae8-d09c-4106-80fe-ea026bbebfd7" . "https://w3id.org/ro-id/6610d218-813a-4f5d-86ca-afd4aa6d6f68" . "https://w3id.org/ro-id/7389e42f-7757-45fe-a138-12267888c513" . "https://w3id.org/ro-id/07b99b7b-a209-44cc-86fd-327339b2599c" . . . "13873"^^ . "https://api.rohub.org/api/ros/95388c3d-c10d-40c5-8ac1-7f92ae6ad243/crate/download/" . . . "2022-01-19 13:47:59.181939+00:00" . "2025-08-30 05:10:28.853066+00:00" . "2022-01-19 13:47:59.181939+00:00" . "Attention deficit hyperactivity disorder (ADHD) is a behavioral and neurodevelopmental disorder characterized by inattention, hyperactivity, and impulsivity, which are pervasive, impairing, and otherwise age inappropriate.Some individuals with ADHD also display difficulty regulating emotions, or problems with executive function. For a diagnosis, the symptoms have to be present for more than six months, and cause problems in at least two settings (such as school, home, work, or recreational activities). In children, problems paying attention may result in poor school performance. Additionally, it is associated with other mental disorders and substance use disorders. Although it causes impairment, particularly in modern society, many people with ADHD have sustained attention for tasks they find interesting or rewarding, known as hyperfocus." . "application/ld+json" . "https://w3id.org/ro-id/95388c3d-c10d-40c5-8ac1-7f92ae6ad243" . . "Attention deficit hyperactivity disorder" . "MANUAL" . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Wolniewicz, Małgorzata, Liza Poltavchenko, and Liza Poltavchenko. \"Attention deficit hyperactivity disorder.\" ROHub. Jan 19 ,2022. https://w3id.org/ro-id/95388c3d-c10d-40c5-8ac1-7f92ae6ad243." . . . . "Liza Poltavchenko" . . . "2026-03-03T16:42:45.697+01:00"^^ . . . . "Attention deficit hyperactivity disorder" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . 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"https://w3id.org/ro-id/39485f27-ec95-40a1-9ddc-0d5e6a9f2891" . "https://w3id.org/ro-id/0566d7df-d790-44bd-bcd1-fe89c0582a29" . "https://w3id.org/ro-id/6aa4b4a0-c7dc-4762-aee1-e8dc94a1705c" . "https://w3id.org/ro-id/b90bc0b8-2d26-4e0c-b255-c2399b52d45d" . . . "6370"^^ . "https://api.rohub.org/api/ros/72dc783e-9ce2-474c-99c0-3969c014c523/crate/download/" . . "2022-01-19 19:48:03.265688+00:00" . "2025-03-05 00:48:34.219947+00:00" . "2022-01-19 19:48:03.265688+00:00" . "A carboxylic acid is an organic acid that contains a carboxyl group (C(=O)OH) attached to an R-group. The general formula of a carboxylic acid is R−COOH or R−CO2H, with R referring to the alkyl, alkenyl, aryl, or other group. Carboxylic acids occur widely. Important examples include the amino acids and fatty acids. Deprotonation of a carboxylic acid gives a carboxylate anion." . "application/ld+json" . . "https://w3id.org/ro-id/72dc783e-9ce2-474c-99c0-3969c014c523" . . "Carboxylic acids" . "MANUAL" . "alkyl" . "amino acid" . "anion" . "carboxyl" . "carboxylate" . "carboxylic acid" . "chemical formula" . "fatty acid" . "free radical" . "organic acid" . "protonation" . "earth sciences" . "Chemistry" . "Organic chemical" . "amino acid" . "anion" . "carboxyl group" . "carboxylic acid" . "fatty acid" . "group" . "organic acid" . "chemistry and materials" . "carboxylate anion" . "contain a carboxyl group" . "formula of a carboxylic acid" . "include the amino acids" . "protonation of a carboxylic acid" . "A carboxylic acid is an organic acid that contains a carboxyl group (C(O)OH) attached to an R-group." . "Deprotonation of a carboxylic acid gives a carboxylate anion." . "The general formula of a carboxylic acid is R?" . . . . "chemistry" . "organic chemistry" . "Wolniewicz, Małgorzata. \"Carboxylic acids.\" ROHub. Jan 19 ,2022. https://w3id.org/ro-id/72dc783e-9ce2-474c-99c0-3969c014c523." . . . . "Pictures" . . . . "https://upload.wikimedia.org/wikipedia/commons/thumb/8/87/Carboxyl-3D-space-filling-labelled.png/300px-Carboxyl-3D-space-filling-labelled.png" . . "2022-01-19 19:49:57.141598+00:00" . "2022-05-31 06:11:00.985979+00:00" . "image/png" . . "300px-Carboxyl-3D-space-filling-labelled.png" . "2022-01-19 19:49:57.141598+00:00" . . . . . "https://upload.wikimedia.org/wikipedia/commons/thumb/8/8e/Carboxylate-resonance-hybrid.png/300px-Carboxylate-resonance-hybrid.png" . . "2022-01-19 19:49:42.590787+00:00" . "2022-05-31 06:11:16.654844+00:00" . "image/png" . . "300px-Carboxylate-resonance-hybrid.png" . "2022-01-19 19:49:42.590787+00:00" . . . . . "https://upload.wikimedia.org/wikipedia/commons/thumb/b/b5/Carboxylic-acid.svg/300px-Carboxylic-acid.svg.png" . . "2022-01-19 19:49:17.752475+00:00" . "2022-05-31 06:11:29.407878+00:00" . "image/png" . . "300px-Carboxylic-acid.svg.png" . "2022-01-19 19:49:17.752475+00:00" . . . . . . . "False" . "https://w3id.org/ro-id/72dc783e-9ce2-474c-99c0-3969c014c523" . "2022-09-20 12:43:22.452986+00:00" . "https://w3id.org/ro-id/users/gosiaw%40man.poznan.pl" . . . . "2026-03-03T16:42:44.363+01:00"^^ . . . . "Carboxylic acids" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "mwRZ5zt0UbBAwAGJ0q/qFj66EdSkGIHmKOGyPZmimU1hXI90NKzFi/8HlI1cu0R2Nf+D+7oDskVwMDehqhmAH9S2pBYaMmqCZsBqsW2uoUjAHd4WUpi4EFflarkWm0bZjBtv6UNaJHoDwkKOm3TSQm2DfklP1EoO6vrNyVnLj7sXScP8KhrFnP00z4zD3qAFu7ywCTyO74G8BjyiEWYMwgX0SB1SVZjiEzJtEVryyn36iwdGJb0/n2r6shq5gdDX2S32ncN4huIrbP0fT9HOFG5socf1KfhvlcyvA88geeyvi2i3zieTlcihv64tKqaB4RNT0bbcrNGhEljEqY3HjA==" . . . . . . . "" . 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The general formula of a carboxylic acid is R−COOH or R−CO2H, with R referring to the alkyl, alkenyl, aryl, or other group. Carboxylic acids occur widely. Important examples include the amino acids and fatty acids. Deprotonation of a carboxylic acid gives a carboxylate anion." . "application/ld+json" . . . . "https://w3id.org/ro-id/39485f27-ec95-40a1-9ddc-0d5e6a9f2891" . . "Carboxylic acid - fork" . "Carboxylic acids" . "MANUAL" . . . . . . "https://w3id.org/ro-id/a6d977df-14a1-4662-a96b-8901d46c225d" . "https://w3id.org/ro-id/eafaf79f-80b4-4cb5-bde0-e9e5bf2e56b2" . "https://w3id.org/ro-id/00c5df1a-9403-4cc3-9ce7-d233cb7dba89" . "https://w3id.org/ro-id/0880556d-0984-43e5-ba19-5c902b2f4ec9" . "https://w3id.org/ro-id/3130e53e-e8b3-44a0-ad2e-5ae612663129" . "https://w3id.org/ro-id/395327a2-ba8d-4b11-91e8-56b92cc67b3e" . "https://w3id.org/ro-id/66ca8bdd-03f6-46a8-ba6d-5b6edafaf12d" . "https://w3id.org/ro-id/81ab786a-4d6c-46e2-aa92-d83b80314dcd" . "https://w3id.org/ro-id/905d7745-bd5a-4529-a9ed-21b3b095fe51" . "https://w3id.org/ro-id/974f1755-7570-4080-a61e-c86d4ebb3afb" . "https://w3id.org/ro-id/ac53da99-39f4-48a9-afe5-0fdbed235e04" . "https://w3id.org/ro-id/ad7eb3d0-5295-43c4-bdea-5f6ce3e32d55" . "https://w3id.org/ro-id/d7061362-403a-4d4e-aac9-270e722b52f2" . "https://w3id.org/ro-id/bdd06552-571a-414f-bbdd-813751813f2c" . "https://w3id.org/ro-id/d4949273-e5f0-45fd-a84e-72115614bcac" . "https://w3id.org/ro-id/89d589bd-32c2-4984-b749-afe44bfa3f6b" . "https://w3id.org/ro-id/dfdc3f82-3b92-4e71-86cd-c04a137b102b" . "https://w3id.org/ro-id/18c546fa-7ba7-47fa-ab49-bcbf73cf20bf" . "https://w3id.org/ro-id/30ae082d-a52d-44fe-a401-36fd3734abad" . "https://w3id.org/ro-id/8aa02634-d585-4f9b-bf42-3049fdac7c8b" . "https://w3id.org/ro-id/cdf5e932-c57e-42c9-9080-1a942ec95d5b" . "https://w3id.org/ro-id/da377fe4-8307-48a3-8d8c-b5e49751cdfe" . "https://w3id.org/ro-id/ef858a66-fd91-412a-9bfe-1ecc98540765" . "https://w3id.org/ro-id/f09e2187-2735-436f-8e2a-cc1c53224aaa" . "https://w3id.org/ro-id/818d883c-6e6a-4cf5-875c-e3a5a127b784" . "https://w3id.org/ro-id/a4ffc4a2-fea2-4815-87ce-d236a5fbd8e5" . "https://w3id.org/ro-id/2dc5f1e0-2683-478f-ab9b-0d78c379f83b" . "https://w3id.org/ro-id/4860b4e2-df18-4c07-9974-e4e6a3438b8f" . "https://w3id.org/ro-id/61c72be3-c411-400e-8577-9bbf4c49b02f" . "https://w3id.org/ro-id/71a6230d-140f-4d38-b6a1-6d02877bcbb9" . "https://w3id.org/ro-id/c1e69e7e-7176-4eb4-80f0-455736bd8611" . "https://w3id.org/ro-id/7941be38-99a3-4c00-870e-4fb14ee9b5d5" . "https://w3id.org/ro-id/d070e7b0-bc76-4215-aca1-c7f80523f90e" . "https://w3id.org/ro-id/eee6f4b4-adf3-4ea9-b0f7-df730852de01" . "Wolniewicz, Małgorzata. \"Carboxylic acids.\" ROHub. Jan 19 ,2022. https://w3id.org/ro-id/39485f27-ec95-40a1-9ddc-0d5e6a9f2891." . . . . . . . "carboxyl" . . "7.270811380400421" . "6.9" . "formula of a carboxylic acid" . . "19.294377067254686" . "17.5" . "include the amino acids" . . 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"Deprotonation of a carboxylic acid gives a carboxylate anion." . . "26.175548589341695" . "16.7" . "earth sciences" . . "100.0" . "0.9274783134460449" . "free radical" . . "7.79768177028451" . "7.4" . "anion" . . "7.246376811594202" . "5.5" . "Organic chemical" . . "Economy, business and finance/Economic sector/Chemicals/Organic chemical" . "chemistry" . . "66.81749622926094" . "44.3" . "The general formula of a carboxylic acid is R−" . . "18.96551724137931" . "12.1" . "group" . . "8.827404479578393" . "6.7" . "organic acid" . . "16.073781291172594" . "12.2" . "service-account-enrichment" . . . "2026-03-03T16:42:42.975+01:00"^^ . . . . "Carboxylic acid - fork" . "RSA" . 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58.67227869592126, 9.668876552903514 58.6033108398088, 8.94247132638619 58.17581351545791, 8.50587677376413 57.960981971021404, 8.16304783946329 57.86488319268867" . . "service-account-enrichment" . . . . . "315760"^^ . "https://api.rohub.org/api/ros/a05fff1d-b9bd-4295-bf58-a33125a1d926/crate/download/" . . . . "2022-01-23 21:00:01.007009+00:00" . "2025-03-05 01:14:10.387947+00:00" . "2022-01-23 21:00:01.007009+00:00" . "This Research Object demonstrates how to use CAMS European air quality analysis from Copernicus Atmosphere Monitoring with RELIANCE services and compute monthly map of PM10over a given geographical area, here Norway." . "application/ld+json" . . . . . . . "https://w3id.org/ro-id/a05fff1d-b9bd-4295-bf58-a33125a1d926" . "PM10" . "air quality" . "cams" . "copernicus" . "norway" . . "Jupyter Notebook" . "PM10 in Norway Jupyter notebook demonstrating the usage of CAMS European air quality analysis from Copernicus Atmosphere Monitoring with RELIANCE services." . . . "MANUAL" . "Norway" . "PM10" . "air quality" . "analysis" . "area" . "map" . "reliance" . "usage" . "earth sciences" . "Air pollution" . "Copernicus Atmosphere Monitoring" . "PM10over" . "Research Object" . "air quality" . "analysis" . "cam" . "reliance" . "geosciences" . "Norway Jupyter notebook" . "air quality analysis" . "analysis from Copernicus Atmosphere Monitoring" . "reliance service" . "usage of cam" . "PM10 in Norway Jupyter notebook demonstrating the usage of CAMS European air quality analysis from Copernicus Atmosphere Monitoring with RELIANCE services." . "This Research Object demonstrates how to use CAMS European air quality analysis from Copernicus Atmosphere Monitoring with RELIANCE services and compute monthly map of PM10over a given geographical area, here Norway." . "https://w3id.org/ro-id/a05fff1d-b9bd-4295-bf58-a33125a1d926/ee580cf2-c3be-4316-8851-6a663a962a48" . . . . . . "ecology" . "Norway" . "Iaquinta, Jean, and Anne Foilloux. \"PM10 in Norway Jupyter notebook demonstrating the usage of CAMS European air quality analysis from Copernicus Atmosphere Monitoring with RELIANCE services..\" ROHub. Jan 23 ,2022. https://w3id.org/ro-id/a05fff1d-b9bd-4295-bf58-a33125a1d926." . 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9.788358204228302 58.67227869592126, 9.668876552903514 58.6033108398088, 8.94247132638619 58.17581351545791, 8.50587677376413 57.960981971021404, 8.16304783946329 57.86488319268867))" . . . . . . . . "output" . . . . . . "input" . . . . . "tool" . . . "biblio" . . . . "https://datahub.egi.eu/share/273b46f9ff572e185bc0039bc3c4c44cch6f7f" . . "2022-01-23 21:01:02.099365+00:00" . "2022-01-23 21:01:02.099814+00:00" . "This dataset is a data-Cube retrieved from the ADAM platform over Norway in September 2019" . . "Data-Cube from ADAM platform over Norway in September 2019" . "2022-01-23 21:01:02.099365+00:00" . . . . . "https://datahub.egi.eu/share/d39edd7f72d7406f2e60a40305b4ba19chf8ed" . . "2022-01-23 21:01:11.319864+00:00" . "2022-01-23 21:01:11.321307+00:00" . "Monthly average maps of CAMS Particulate matter < 10 µm [µg m-3] over Norway in 2019, 2020 and 2021" . . "Particulate matter < 10 µm [µg m-3] over Norway for September 2019, 2020 and 2021" . "2022-01-23 21:01:11.319864+00:00" . . . . . "https://datahub.egi.eu/share/38efc32bda0465b96987d14e22b8c552ch77c3" . . "2022-01-23 21:01:15.453310+00:00" . "2022-01-23 21:01:15.454214+00:00" . "Daily average of CAMS Particulate matter < 10 µmµg m-3] over Oslo in September 2021" . . "Timeseries of Particulate matter < 10 µm [µg m-3] over Oslo in september 2021" . "2022-01-23 21:01:15.453310+00:00" . . . . . "https://raw.githubusercontent.com/NordicESMhub/RELIANCE/main/content/demo-eosc-future/RELIANCE_Norway_PM10.ipynb" . . "2022-05-30 16:01:33.995298+00:00" . "2022-05-30 16:24:53.483225+00:00" . "Jupyter Notebook for discovering, accessing and processing RELIANCE data cube, and creating a Research Object with results, and finally publish it in Zenodo" . . "CAMS European air quality analysis (Jupyter Notebook) with RELIANCE services - Applied over Norway and variable Particulate matter < 10 µm" . "2022-05-30 16:01:33.995298+00:00" . . . . . "https://datahub.egi.eu/share/d5023a2d39439192c9e7eb02cdf2683fchb968" . . "2022-01-23 21:01:13.388819+00:00" . "2022-01-23 21:01:13.389560+00:00" . "Daily average maps of CAMS Particulate matter < 10 µmµg m-3] over Norway on September 15, 2021" . . "Particulate matter < 10 µm [µg m-3] over Norway on September 15, 2021" . "2022-01-23 21:01:13.388819+00:00" . . . . . "https://datahub.egi.eu/share/2e528766ccf2ba9c573fa4ac836dc3e2ch61ab" . . "2022-01-23 21:01:17.676479+00:00" . "2022-01-23 21:01:17.677114+00:00" . "netCDF data corresponding to daily average of CAMS Particulate matter < 10 µm [µg m-3] over Norway for September 2019, September 2020 and September 2021" . . "netCDF data for daily PM10over Norway in September 2019, 2020 and 2021" . "2022-01-23 21:01:17.676479+00:00" . . . . . "https://datahub.egi.eu/share/3db10d4d40f327be659e91b3bf1d565echf10c" . . "2022-01-23 21:01:05.902557+00:00" . "2022-01-23 21:01:05.903174+00:00" . "This dataset is a data-Cube retrieved from the ADAM platform over Norway in September 2021" . . "Data-Cube from ADAM platform over Norway in September 2021" . "2022-01-23 21:01:05.902557+00:00" . . . . . "https://datahub.egi.eu/share/37bf410310f6391fb649de2dfafa494bch1c09" . . "2022-01-23 21:01:03.874422+00:00" . "2022-01-23 21:01:03.875276+00:00" . "This dataset is a data-Cube retrieved from the ADAM platform over Norway in September 2020" . . "Data-Cube from ADAM platform over Norway in September 2020" . "2022-01-23 21:01:03.874422+00:00" . . . . . "295933"^^ . "https://api.rohub.org/api/resources/b93e0f67-148c-4427-8bf0-a485ecbddd74/download/" . . "2022-01-23 21:00:44.086858+00:00" . "2022-01-23 21:00:44.087643+00:00" . "Monthly average maps of CAMS Particulate matter < 10 µm [µg m-3] over Norway in 2019, 2020 and 2021" . "image/png" . . "Particulate matter < 10 µm [µg m-3] over Norway for September 2019, 2020 and 2021" . "2022-01-23 21:00:44.086858+00:00" . . . . . "https://nordicesmhub.github.io/RELIANCE/demo-eosc-future/RELIANCE_Norway_PM10.html" . . "2022-05-30 16:23:58.009809+00:00" . "2022-05-30 16:23:58.589701+00:00" . "Rendered version with Jupyter book." . "text/html" . . "PM10 over Norway (Website)" . "2022-05-30 16:23:58.009809+00:00" . . . . . . . "Nordic e-Infrastructure Collaboration (NeIC)" . "annefou@geo.uio.no" . "Anne Fouilloux" . . "0000-0002-1784-2920" . . "2026-03-03T16:42:41.505+01:00"^^ . . . . "PM10 in Norway Jupyter notebook demonstrating the usage of CAMS European air quality analysis from Copernicus Atmosphere Monitoring with RELIANCE services." . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "iNarajszCt5AqdP3IM6LNQvwb9wgX0B6PB6/DLVhnBJQwSc/r8VN26QxosvBm/NKIjEUxSSr170xKFizuj1UaEhXLy9Y3w6EuY586+p7U7auY00P/MjbHEB7Po3MsSjoxq3Zwh+TVuqym91aEWpAeYe7+7KBD/2UrEPfvWz6a/8arpTfFNMdqYUQYXvx84cngrn54n9Uxv5+HaF3s/02edEBp0gy14i1iO+ceXGxrAH9Zccn+PSKxNSUydcYLc40lh15SMeS/MG1t2QI1eArXFMAFfT0vHe2AQcHx5a1ZFgATInXjM0XC9zGtoSTqj/gplb1vf31LahlvtpDeSVUKg==" . . . . . . . "" . "Earth sciences" . . "10.13039/501100000781" . "European Commission" . . "UiO" . "jeani@uio.no" . "Jean Iaquinta" . . "0000-0002-8763-1643" . "01xtthb56" . "University of Oslo" . . . "04jcwf484" . "Nordic e-Infrastructure Collaboration" . . . . "101017502" . "RELIANCE" . "Research Lifecycle Management for Earth Science Communities and Copernicus Users" . . 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"service-account-enrichment" . . . . . "240382"^^ . "https://api.rohub.org/api/ros/b2b23c8f-3cf6-457b-8026-eb0bfd421a8e/crate/download/" . . . . "2022-01-23 21:05:14.627591+00:00" . "2025-03-05 02:45:34.009446+00:00" . "2022-01-23 21:05:14.627591+00:00" . "This Research Object demonstrates how to use CAMS European air quality analysis from Copernicus Atmosphere Monitoring with RELIANCE services and compute monthly map of NO2over a given geographical area, here Italy." . "application/ld+json" . . . . . . . "https://w3id.org/ro-id/b2b23c8f-3cf6-457b-8026-eb0bfd421a8e" . "Italy" . "NO2" . "air quality" . "cams" . "copernicus" . . "Jupyter Notebook" . "NO2 in Italy Jupyter notebook demonstrating the usage of CAMS European air quality analysis from Copernicus Atmosphere Monitoring with RELIANCE services." . . . "MANUAL" . "Italy" . "air quality" . "analysis" . "area" . "map" . "reliance" . "service" . "usage" . "earth sciences" . "Air pollution" . "Copernicus Atmosphere Monitoring" . "NO2over" . "Research Object" . "air quality" . "analysis" . "cam" . "map" . "geosciences" . "Italy Jupyter notebook" . "air quality analysis" . "analysis from Copernicus Atmosphere Monitoring" . "reliance service" . "usage of cam" . "NO2 in Italy Jupyter notebook demonstrating the usage of CAMS European air quality analysis from Copernicus Atmosphere Monitoring with RELIANCE services." . "This Research Object demonstrates how to use CAMS European air quality analysis from Copernicus Atmosphere Monitoring with RELIANCE services and compute monthly map of NO2over a given geographical area, here Italy." . "https://w3id.org/ro-id/b2b23c8f-3cf6-457b-8026-eb0bfd421a8e/932ffe79-d11c-4216-8782-fe27547f0a37" . . . . . . "Italy" . "Anne Foilloux, and Jean Iaquinta. \"NO2 in Italy Jupyter notebook demonstrating the usage of CAMS European air quality analysis from Copernicus Atmosphere Monitoring with RELIANCE services..\" ROHub. Jan 23 ,2022. https://w3id.org/ro-id/b2b23c8f-3cf6-457b-8026-eb0bfd421a8e." . 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"input" . . . . "tool" . . . . . . . . "output" . . . "biblio" . . . . "https://datahub.egi.eu/share/6d7a951965d29f5f8a7817e19727824cchec76" . . "2022-01-23 21:05:38.321284+00:00" . "2022-01-23 21:05:38.322065+00:00" . "This dataset is a data-Cube retrieved from the ADAM platform over Italy in September 2020" . . "Data-Cube from ADAM platform over Italy in September 2020" . "2022-01-23 21:05:38.321284+00:00" . . . . . "184581"^^ . "https://api.rohub.org/api/resources/2467d1f3-1fa4-4a9b-9b9c-62ee10dace1a/download/" . . "2022-01-23 21:05:27.386552+00:00" . "2022-01-23 21:05:27.389859+00:00" . "Monthly average maps of CAMS Nitrogen Dioxide [kg m-3] over Italy in 2019, 2020 and 2021" . "image/png" . . "Nitrogen Dioxide [kg m-3] over Italy for September 2019, 2020 and 2021" . "2022-01-23 21:05:27.386552+00:00" . . . . . "https://datahub.egi.eu/share/965eaf39079907a2e43fd2db0cf88bfech7298" . . "2022-01-23 21:05:34.246477+00:00" . "2022-01-23 21:05:34.247129+00:00" . "Geojson file used for retrieving data from the ADAM platform over Italy" . . "Geojson for Italy" . "2022-01-23 21:05:34.246477+00:00" . . . . . "https://datahub.egi.eu/api/v3/onezone/shares/data/00000000007EF2ED736861726547756964233839336137633435646336303534663433366636633435336666346230393531636830383236233732356634616233366362323664306662666330633132346337373565666565636865653439236236626165633637613431313330326534386361393435303331326539326338636865323535/content" . . "2022-01-23 21:05:43.237607+00:00" . "2022-06-10 20:35:26.253421+00:00" . "Jupyter Notebook for discovering, accessing and processing RELIANCE data cube, and creating a Research Object with results, and finally publish it in Zenodo" . . "Jupyter Notebook of CAMS European air quality analysis from Copernicus Atmosphere Monitoring with RELIANCE services - Applied over Italy and variable Nitrogen Dioxide" . "2022-01-23 21:05:43.237607+00:00" . . . . . "https://datahub.egi.eu/share/724fbbc8e5505ec366a1a16b953112cach16fc" . . "2022-01-23 21:05:54.728081+00:00" . "2022-01-23 21:05:54.730443+00:00" . "Daily average of CAMS Nitrogen Dioxidekg m-3] over Venice in September 2021" . . "Timeseries of Nitrogen Dioxide [kg m-3] over Venice in september 2021" . "2022-01-23 21:05:54.728081+00:00" . . . . . "https://datahub.egi.eu/share/61b74c767098f36b4e1419e288e404f4ch57d6" . . "2022-01-23 21:05:35.906945+00:00" . "2022-01-23 21:05:35.908592+00:00" . "This dataset is a data-Cube retrieved from the ADAM platform over Italy in September 2019" . . "Data-Cube from ADAM platform over Italy in September 2019" . "2022-01-23 21:05:35.906945+00:00" . . . . . "https://datahub.egi.eu/share/2b4c0171e13dc27631cedc276d6bdf62ch10ce" . . "2022-01-23 21:05:47.168303+00:00" . "2022-01-23 21:05:47.170165+00:00" . "Monthly average maps of CAMS Nitrogen Dioxide [kg m-3] over Italy in 2019, 2020 and 2021" . . "Nitrogen Dioxide [kg m-3] over Italy for September 2019, 2020 and 2021" . "2022-01-23 21:05:47.168303+00:00" . . . . . "https://datahub.egi.eu/share/6c25a729b414f35ec7ee923d4909e613ch3b3c" . . "2022-01-23 21:06:00.399739+00:00" . "2022-01-23 21:06:00.400601+00:00" .