@prefix rdf: . @prefix rdfs: . @prefix dct: . @prefix pav: . @prefix prov: . a , ; "", ""; "Mathematics", "Mathematics" . a , ; "cohomology of the mod", "cohomology of the mod" . a , ; "usage of the dataset", "usage of the dataset" . a , ; "mathematics", "mathematics" . a , ; "minimal resolution", "minimal resolution" . a , ; "algebra", "algebra" . a , ; "map", "map" . a , ; "mountain range", "mountain range" . a , ; "document", "document" . a , ; "cohomology", "cohomology" . a , ; "dataset", "dataset" . a , ; "range", "range" . a , ; "usage", "usage" . a , ; "document CohomA2.pdf", "document CohomA2.pdf" . a , ; "Steenrod algebra", "Steenrod algebra" . a , ; "squaring", "squaring" . a , ; "resolution", "resolution" . a , ; "subject", "subject" . a ; "service-account-enrichment" . a , , , , ; ; , ; 7227; "https://api.rohub.org/api/ros/ea70fc98-a80f-4758-8ae5-067ae64905ed/crate/download/"; ; "2022-03-22 01:20:46.276139+00:00"; "2025-03-05 01:26:34.044209+00:00"; "2022-03-22 01:20:46.276139+00:00"; "The dataset contains a minimal resolution of the mod 2 Steenrod algebra in the range 0 <= s <= 128, 0 <= t <= 184, together with chain maps for each cocycle in that range and for the squaring operation Sq^0 in the cohomology of the Steenrod algebra. The included document CohomA2.pdf explains the contents and usage of the dataset in detail."; "application/ld+json"; , , , ; "https://w3id.org/ro-id/ea70fc98-a80f-4758-8ae5-067ae64905ed"; ; "The cohomology of the mod 2 Steenrod algebra"; "MANUAL"; "Robert Bruner, and John Rognes. \"The cohomology of the mod 2 Steenrod algebra.\" ROHub. Mar 22 ,2022. https://w3id.org/ro-id/ea70fc98-a80f-4758-8ae5-067ae64905ed." . a , ; "biblio" . a , ; "raw data" . a , ; ; "data" . a , ; "metadata" . a , , ; ; "https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00078"; ; "2022-03-22 01:21:00.644689+00:00"; "2022-03-22 01:21:05.591782+00:00"; "The dataset contains a minimal resolution of the mod 2 Steenrod algebra in the range 0 <= s <= 128, 0 <= t <= 184, together with chain maps for each cocycle in that range and for the squaring operation Sq^0 in the cohomology of the Steenrod algebra. The included document CohomA2.pdf explains the contents and usage of the dataset in detail."; ; "The cohomology of the mod 2 Steenrod algebra"; "2022-03-22 01:21:00.644689+00:00" . a ; dct:conformsTo ; . a , , , , , , ; "Geo H.", "Geo H.", "Geo H.", "Geo H.", "Geo H.", "Geo H.", "Geo H." . a , ; "john.rognes@rohub.com", "john.rognes@rohub.com"; "John Rognes", "John Rognes" . a , ; "robert.bruner@rohub.com", "robert.bruner@rohub.com"; "Robert Bruner", "Robert Bruner" . a ; "service-account-enrichment" . a , , , , ; ; , ; 8675; "https://api.rohub.org/api/ros/32eba436-e9ef-4ed2-8911-fec14c5a3779/crate/download/"; ; "2022-03-22 01:21:07.680973+00:00"; "2025-03-05 01:26:33.828703+00:00"; "2022-03-22 01:21:07.680973+00:00"; "The dataset contains a minimal resolution of the mod 2 Steenrod algebra in the range 0 <= s <= 128, 0 <= t <= 184, together with chain maps for each cocycle in that range and for the squaring operation Sq^0 in the cohomology of the Steenrod algebra. The included document CohomA2.pdf explains the contents and usage of the dataset in detail."; "application/ld+json"; , , , ; "https://w3id.org/ro-id/32eba436-e9ef-4ed2-8911-fec14c5a3779"; ; "The cohomology of the mod 2 Steenrod algebra"; "MANUAL"; "Robert Bruner, and John Rognes. \"The cohomology of the mod 2 Steenrod algebra.\" ROHub. Mar 22 ,2022. https://w3id.org/ro-id/32eba436-e9ef-4ed2-8911-fec14c5a3779." . a , ; "raw data" . a , ; "biblio" . a , ; ; "data" . a , ; "metadata" . a , , ; dct:bibliographicCitation "Bruner, R., Rognes, J. (2022).The cohomology of the mod 2 Steenrod algebra [Data set]. Norstore. https://doi.org/10.11582/2022.00015"; dct:rightsHolder "Robert Ray Bruner"; dct:type "Observation"; ; "https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00077"; ; "None"; "2022-03-22 01:21:29.913760+00:00"; "The dataset contains a minimal resolution of the mod 2 Steenrod algebra in the range 0 <= s <= 128, 0 <= t <= 184, together with chain maps for each cocycle in that range and for the squaring operation Sq^0 in the cohomology of the Steenrod algebra. The included document CohomA2.pdf explains the contents and usage of the dataset in detail."; ; "The cohomology of the mod 2 Steenrod algebra"; "None"; "Robert Ray Bruner" . a ; dct:conformsTo ; . a , , , , , ; "", "", "", "", "", ""; "Environmental research", "Environmental research", "Environmental research", "Environmental research", "Environmental research", "Environmental research" . a , , , , ; "", "", "", "", ""; "Life sciences", "Life sciences", "Life sciences", "Life sciences", "Life sciences" . a , , , , ; "", "", "", "", ""; "Physical sciences", "Physical sciences", "Physical sciences", "Physical sciences", "Physical sciences" . a ; ""; "Biology" . a , , ; "Svalbard", "Svalbard", "Svalbard" . a ; "time series station" . a ; "West Spitsbergen Current" . a ; "West Spitsbergen Current" . a ; "ecology" . a ; "Atlantic Ocean" . a ; "mouth of Adventfjorden" . a ; "Atlantic water" . a ; "hydrography" . a ; "ecosystem" . a , ; "time series", "time series" . a , , ; "dataset", "dataset", "dataset" . a ; "stream mouth" . a ; "broadcasting station" . a ; "Spitsbergen" . a ; "inflow" . a ; "Atlantic Ocean" . a ; "ecosystem effects of climate change" . a ; "effects of climate change" . a ; "Spitsbergen" . a ; "station" . a ; "variability" . a ; "15.52992"; "78.26105"; "POINT (15.52992 78.26105)" . a ; ; "c9a6edac-883c-4415-aad5-5270dff5e8fb"; "POINT (15.52992 78.26105)" . a ; "service-account-enrichment" . a , , , , ; , , , ; ; ; 6795; "https://api.rohub.org/api/ros/1b7874e4-6c2f-4b84-87cb-74db13d49196/crate/download/"; ; "2022-03-22 01:21:31.715074+00:00"; "2025-03-05 01:01:11.704641+00:00"; "2022-03-22 01:21:31.715074+00:00"; "The Isfjorden-Adventfjorden (IsA) time series station is a marine station operated by the University Centre in Svalbard (UNIS). It is located in the mouth of Adventfjorden within Isfjorden on the west coast of Spitsbergen, and is frequently influenced by inflow of warm Atlantic Water from the West Spitsbergen Current. The station is therefore well suited for monitoring seasonal variability and ecosystem effects of climate change. IsA has been sampled on a monthly basis since December 2011. This dataset represents the acid-corrected Chl a values from several depths."; "application/ld+json"; , , , ; "https://w3id.org/ro-id/1b7874e4-6c2f-4b84-87cb-74db13d49196"; ; "ISA_Svalbard_Chlorophyll_A_2011_2019"; "MANUAL"; "https://w3id.org/ro-id/1b7874e4-6c2f-4b84-87cb-74db13d49196/870010a7-224a-4b80-8ee6-bcdb220e619e"; "University Centre in Svalbard (UNIS). \"ISA_Svalbard_Chlorophyll_A_2011_2019.\" ROHub. Mar 22 ,2022. https://w3id.org/ro-id/1b7874e4-6c2f-4b84-87cb-74db13d49196." . a , ; "POINT (15.52992 78.26105)" . a , ; "raw data" . a , ; ; "data" . a , ; "metadata" . a , ; "biblio" . a , , ; ; "https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00069"; ; "2022-03-22 01:21:41.637352+00:00"; "2022-03-22 01:21:46.049432+00:00"; "The Isfjorden-Adventfjorden (IsA) time series station is a marine station operated by the University Centre in Svalbard (UNIS). It is located in the mouth of Adventfjorden within Isfjorden on the west coast of Spitsbergen, and is frequently influenced by inflow of warm Atlantic Water from the West Spitsbergen Current. The station is therefore well suited for monitoring seasonal variability and ecosystem effects of climate change. IsA has been sampled on a monthly basis since December 2011. This dataset represents the acid-corrected Chl a values from several depths."; ; "ISA_Svalbard_Chlorophyll_A_2011_2019"; "2022-03-22 01:21:41.637352+00:00" . a ; dct:conformsTo ; . a ; "UNIS@rohub.com"; "University Centre in Svalbard (UNIS)" . a , , ; "", "", ""; "Earth sciences", "Earth sciences", "Earth sciences" . a ; "temperature logger" . a , ; "physics", "physics" . a ; "medicine" . a ; "temperature" . a ; "processing" . a , ; "observatory", "observatory" . a ; "fluorescence" . a ; "diagram" . a ; "recovery" . a ; "moor" . a ; "Svalbard" . a ; "mooring diagram" . a ; "fluorescence data" . a ; "observatory layout" . a ; "marine biology" . a ; "logger" . a ; "layout" . a ; "information" . a ; "watercraft and nautical navigation" . a ; "UiT The Arctic University of Norway and The" . a ; "Scottish Association" . a ; "observatories consist" . a ; "occupational overuse syndrome" . a ; "11.8239"; "78.9589"; "POINT (11.8239 78.9589)" . a ; ; "bece0544-4961-412d-91ad-ecf25c63d637"; "POINT (11.8239 78.9589)" . a ; "service-account-enrichment" . a , , , , ; , , , ; , , , , , , , ; ; 11468; "https://api.rohub.org/api/ros/b4960d2f-d2a6-462c-83b1-9b85f4c046ac/crate/download/"; ; "2022-03-22 01:21:47.502650+00:00"; "2025-03-05 01:24:10.636796+00:00"; "2022-03-22 01:21:47.502650+00:00"; """As part of the \"KROP - Kongsfjorden Rijpfjorden Observatory Programme\" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. The observatories consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This dataset contains the CTD, PAR and fluorescence data from Kongsfjorden 2017-2018. Fluorescence data is given as raw voltage only, due to calibration and fouling issues. It is meant as an indication of the timing of the phytoplankton bloom, not as absolute chlorophyll a concentration. No post-recovery processing of light data (to correct for fouling) has been performed. The observatory layout is available in the mooring diagram provided."""; "application/ld+json"; , , , ; "https://w3id.org/ro-id/b4960d2f-d2a6-462c-83b1-9b85f4c046ac"; ; "Temperature, salinity, light and fluorescence (CTD) measurements from the Kongsfjorden (Svalbard) marine observatory (mooring) August 2017-August 2018"; "MANUAL"; "https://w3id.org/ro-id/b4960d2f-d2a6-462c-83b1-9b85f4c046ac/1815b2b8-8a48-4223-a69b-52dcee7b0fca"; "Finlo Cottier, Jørgen Berge, Estelle Dumont, Tomasz Piotr Kopec, Emily Joanne Venables, Daniel Ludwig Vogedes, UiT The Arctic University of Norway (UiT), and Scottish Association for Marine Science (SAMS). \"Temperature, salinity, light and fluorescence (CTD) measurements from the Kongsfjorden (Svalbard) marine observatory (mooring) August 2017-August 2018.\" ROHub. Mar 22 ,2022. https://w3id.org/ro-id/b4960d2f-d2a6-462c-83b1-9b85f4c046ac." . a , ; "POINT (11.8239 78.9589)" . a , ; ; "data" . a , ; "biblio" . a , ; "metadata" . a , ; "raw data" . a , , ; dct:bibliographicCitation "Cottier, F., Berge, J., Dumont, E., Kopec, T. P., Venables, E. J., Vogedes, D. L., UiT The Arctic University of Norway, Scottish Association for Marine Science (2021).Temperature, salinity, light and fluorescence (CTD) measurements from the Kongsfjorden (Svalbard) marine observatory (mooring) August 2017-August 2018 [Data set]. Norstore. https://doi.org/10.11582/2021.00065"; dct:rightsHolder "UiT The Arctic University of Norway (UiT)"; dct:type "Observation"; ; "https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00065"; ; "2021-07-16 00:00:00"; "2022-03-22 01:22:40.368999+00:00"; """As part of the \"KROP - Kongsfjorden Rijpfjorden Observatory Programme\" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. The observatories consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This dataset contains the CTD, PAR and fluorescence data from Kongsfjorden 2017-2018. Fluorescence data is given as raw voltage only, due to calibration and fouling issues. It is meant as an indication of the timing of the phytoplankton bloom, not as absolute chlorophyll a concentration. No post-recovery processing of light data (to correct for fouling) has been performed. The observatory layout is available in the mooring diagram provided."""; ; "Temperature, salinity, light and fluorescence (CTD) measurements from the Kongsfjorden (Svalbard) marine observatory (mooring) August 2017-August 2018"; "2021-07-16 00:00:00"; "Daniel Ludwig Vogedes" . a ; dct:conformsTo ; . a , , ; "SAMS@rohub.com", "SAMS@rohub.com", "SAMS@rohub.com"; "Scottish Association for Marine Science (SAMS)", "Scottish Association for Marine Science (SAMS)", "Scottish Association for Marine Science (SAMS)" . a , , , ; "UiT@rohub.com", "UiT@rohub.com", "UiT@rohub.com", "UiT@rohub.com"; "UiT The Arctic University of Norway (UiT)", "UiT The Arctic University of Norway (UiT)", "UiT The Arctic University of Norway (UiT)", "UiT The Arctic University of Norway (UiT)" . a , , , ; "daniel.ludwig.vogedes@rohub.com", "daniel.ludwig.vogedes@rohub.com", "daniel.ludwig.vogedes@rohub.com", "daniel.ludwig.vogedes@rohub.com"; "Daniel Ludwig Vogedes", "Daniel Ludwig Vogedes", "Daniel Ludwig Vogedes", "Daniel Ludwig Vogedes" . a ; "emily.joanne.venables@rohub.com"; "Emily Joanne Venables" . a , , ; "estelle.dumont@rohub.com", "estelle.dumont@rohub.com", "estelle.dumont@rohub.com"; "Estelle Dumont", "Estelle Dumont", "Estelle Dumont" . a , , ; "finlo.cottier@rohub.com", "finlo.cottier@rohub.com", "finlo.cottier@rohub.com"; "Finlo Cottier", "Finlo Cottier", "Finlo Cottier" . a , , , ; "jorgen.berge@rohub.com", "jorgen.berge@rohub.com", "jorgen.berge@rohub.com", "jorgen.berge@rohub.com"; "Jørgen Berge", "Jørgen Berge", "Jørgen Berge", "Jørgen Berge" . a , ; "tomasz.piotr.kopec@rohub.com", "tomasz.piotr.kopec@rohub.com"; "Tomasz Piotr Kopec", "Tomasz Piotr Kopec" . a ; "11.8237"; "78.9592"; "POINT (11.8237 78.9592)" . a ; ; "6dbca1e0-2173-4f1d-b61e-f4e28bec383e"; "POINT (11.8237 78.9592)" . a ; "service-account-enrichment" . a , , , , ; , , , ; , , , , , , , ; ; 11480; "https://api.rohub.org/api/ros/04c3f1b2-96ec-4065-98a1-9499762d2405/crate/download/"; ; "2022-03-22 01:22:41.914748+00:00"; "2025-03-05 01:24:10.453697+00:00"; "2022-03-22 01:22:41.914748+00:00"; """As part of the \"KROP - Kongsfjorden Rijpfjorden Observatory Programme\" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. The observatories consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This dataset contains the CTD, PAR and fluorescence data from Kongsfjorden 2016-2017. Fluorescence data is given as raw voltage only, due to calibration and fouling issues. It is meant as an indication of the timing of the phytoplankton bloom, not as absolute chlorophyll a concentration. No post-recovery processing of light data (to correct for fouling) has been performed. The observatory layout is available in the mooring diagram provided. At this deployment, two settlement plates were deployed (25m and 208m)."""; "application/ld+json"; , , , ; "https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405"; ; "Temperature, salinity, light and fluorescence (CTD) measurements from the Kongsfjorden (Svalbard) marine observatory (mooring) August 2016-August 2017"; "MANUAL"; "Svalbard", "dataset", "diagram", "fluorescence", "information", "layout", "mooring", "observatory", "occupational overuse syndrome", "processing", "recovery", "temperature"; "earth sciences"; "CTD", "Kongsfjorden Rijpfjorden Observatory Programme", "data", "diagram", "fluorescence", "mooring", "observatory"; "space sciences"; "fluorescence data", "mooring diagram", "observatories consist", "observatory layout", "recovery processing"; "As part of the \"KROP - Kongsfjorden Rijpfjorden Observatory Programme\" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden.", "The observatory layout is available in the mooring diagram provided.", "This dataset contains the CTD, PAR and fluorescence data from Kongsfjorden 2016-2017."; "2016-2017", "Aug-2016-Aug-2017"; "https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/43a67b20-7c3d-4cd5-b299-35283289cf7f"; "armed forces", "medicine", "physics"; "Svalbard"; "Finlo Cottier, Jørgen Berge, Estelle Dumont, Colin Griffith, John Beaton, Daniel Ludwig Vogedes, UiT The Arctic University of Norway (UiT), and Scottish Association for Marine Science (SAMS). \"Temperature, salinity, light and fluorescence (CTD) measurements from the Kongsfjorden (Svalbard) marine observatory (mooring) August 2016-August 2017.\" ROHub. Mar 22 ,2022. https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405." . a , ; "POINT (11.8237 78.9592)" . a , ; "metadata" . a , ; "raw data" . a , ; "biblio" . a , ; ; "data" . a , , ; dct:bibliographicCitation "Cottier, F., Berge, J., Dumont, E., Griffith, C., Beaton, J., Vogedes, D. L., UiT The Arctic University of Norway, Scottish Association for Marine Science (2021).Temperature, salinity, light and fluorescence (CTD) measurements from the Kongsfjorden (Svalbard) marine observatory (mooring) August 2016-August 2017 [Data set]. Norstore. https://doi.org/10.11582/2021.00062"; dct:rightsHolder "UiT The Arctic University of Norway (UiT)"; dct:type "Observation"; ; "https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00062"; ; "2021-07-12 00:00:00"; "2022-03-22 01:23:32.132406+00:00"; """As part of the \"KROP - Kongsfjorden Rijpfjorden Observatory Programme\" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. The observatories consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This dataset contains the CTD, PAR and fluorescence data from Kongsfjorden 2016-2017. Fluorescence data is given as raw voltage only, due to calibration and fouling issues. It is meant as an indication of the timing of the phytoplankton bloom, not as absolute chlorophyll a concentration. No post-recovery processing of light data (to correct for fouling) has been performed. The observatory layout is available in the mooring diagram provided. At this deployment, two settlement plates were deployed (25m and 208m)."""; ; "Temperature, salinity, light and fluorescence (CTD) measurements from the Kongsfjorden (Svalbard) marine observatory (mooring) August 2016-August 2017"; "2021-07-12 00:00:00"; "Daniel Ludwig Vogedes" . a ; dct:conformsTo ; . a , ; "colin.griffith@rohub.com", "colin.griffith@rohub.com"; "Colin Griffith", "Colin Griffith" . a , ; "john.beaton@rohub.com", "john.beaton@rohub.com"; "John Beaton", "John Beaton" . a ; ; "40e24f2d-a1b1-42dd-ba2e-eedfdfeea4ec"; "POINT (11.8238 78.9589)" . a ; "11.8238"; "78.9589"; "POINT (11.8238 78.9589)" . a ; "service-account-enrichment" . a , , , , ; , , , ; , , , , , , , ; ; 11633; "https://api.rohub.org/api/ros/868972b2-e340-4007-8521-8f03b58cb7b9/crate/download/"; ; "2022-03-22 01:23:33.372212+00:00"; "2025-03-05 01:24:10.793750+00:00"; "2022-03-22 01:23:33.372212+00:00"; """As part of the \"KROP - Kongsfjorden Rijpfjorden Observatory Programme\" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. The observatories consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This dataset contains the CTD, PAR and fluorescence data from Kongsfjorden 2015-2016. Fluorescence data is given as raw voltage only, due to calibration and fouling issues. It is meant as an indication of the timing of the phytoplankton bloom, not as absolute chlorophyll a concentration. No post-recovery processing of light data (to correct for fouling) has been performed. The observatory layout is available in the mooring diagram provided. For this deployment a RAS500 water sampler and a SUNA nitrate sensor were deployed for a specific project, data are not part of the long-term monitoring efforts and are available upon request."""; "application/ld+json"; , , , ; "https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9"; ; "Temperature, salinity, light and fluorescence (CTD) measurements from the Kongsfjorden (Svalbard) marine observatory (mooring) September 2015-August 2016"; "MANUAL"; "Svalbard", "data", "dataset", "diagram", "fluorescence", "information", "mooring", "nitrate", "observatory", "occupational overuse syndrome", "sampler", "sensor", "temperature"; "earth sciences"; "CTD", "Kongsfjorden Rijpfjorden Observatory Programme", "data", "diagram", "fluorescence", "mooring", "observatory"; "space sciences"; "SUNA nitrate sensor", "fluorescence data", "mooring diagram", "observatories consist", "observatory layout"; "As part of the \"KROP - Kongsfjorden Rijpfjorden Observatory Programme\" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden.", "The observatory layout is available in the mooring diagram provided.", "This dataset contains the CTD, PAR and fluorescence data from Kongsfjorden 2015-2016."; "2015-2016", "Sep-2015-Aug-2016"; "https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/f68b0cde-9eb9-4e5e-a13e-f980ee3ccbf5"; "armed forces", "marine biology", "medicine", "physics"; "Svalbard"; "Finlo Cottier, Jørgen Berge, Colin Griffith, Estelle Dumont, John Beaton, Daniel Ludwig Vogedes, UiT The Arctic University of Norway (UiT), and Scottish Association for Marine Science (SAMS). \"Temperature, salinity, light and fluorescence (CTD) measurements from the Kongsfjorden (Svalbard) marine observatory (mooring) September 2015-August 2016.\" ROHub. Mar 22 ,2022. https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9." . a , ; "POINT (11.8238 78.9589)" . a , ; "metadata" . a , ; "biblio" . a , ; "raw data" . a , ; ; "data" . a , , ; dct:bibliographicCitation "Cottier, F., Berge, J., Griffith, C., Dumont, E., Beaton, J., Vogedes, D. L., UiT The Arctic University of Norway, Scottish Association for Marine Science (2021).Temperature, salinity, light and fluorescence (CTD) measurements from the Kongsfjorden (Svalbard) marine observatory (mooring) September 2015-August 2016 [Data set]. Norstore. https://doi.org/10.11582/2021.00061"; dct:rightsHolder "Daniel Ludwig Vogedes"; dct:type "Observation"; ; "https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00061"; ; "2021-07-12 00:00:00"; "2022-03-22 01:24:23.830029+00:00"; """As part of the \"KROP - Kongsfjorden Rijpfjorden Observatory Programme\" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. The observatories consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This dataset contains the CTD, PAR and fluorescence data from Kongsfjorden 2015-2016. Fluorescence data is given as raw voltage only, due to calibration and fouling issues. It is meant as an indication of the timing of the phytoplankton bloom, not as absolute chlorophyll a concentration. No post-recovery processing of light data (to correct for fouling) has been performed. The observatory layout is available in the mooring diagram provided. For this deployment a RAS500 water sampler and a SUNA nitrate sensor were deployed for a specific project, data are not part of the long-term monitoring efforts and are available upon request."""; ; "Temperature, salinity, light and fluorescence (CTD) measurements from the Kongsfjorden (Svalbard) marine observatory (mooring) September 2015-August 2016"; "2021-07-12 00:00:00"; "Daniel Ludwig Vogedes" . a ; dct:conformsTo ; . a ; "National Institute of Standards and Technology" . a ; "Ny-Ålesund Svalbard" . a ; "Australia" . a ; "time-series measurement" . a ; "USSIMO" . a ; "sensor output" . a ; "Norway" . a ; "USSIMO spectroradiometer raw data time series" . a ; "United States of America" . a ; "light observatory" . a ; "data" . a ; "Teflon" . a ; "sensor" . a ; "spectroradiometer" . a ; "raw data" . a ; "Norway" . a ; "Arctic Zone" . a ; "UiT The Arctic University of Norway" . a ; "Norwegian University of Science and Technology" . a ; "Kings Bay" . a ; "N-NW" . a ; "NTNU" . a ; "UiT The Arctic University" . a ; "Perth" . a ; "UiT" . a ; ; "56f9c025-4431-44aa-8c4a-c90ceb56df10"; "POINT (11.84213 78.94116)" . a ; "11.84213"; "78.94116"; "POINT (11.84213 78.94116)" . a ; "service-account-enrichment" . a , , , , ; , , ; , , , , , , , , , ; ; 13192; "https://api.rohub.org/api/ros/2eed7eb1-bb6d-4336-b4ec-b832d41270af/crate/download/"; ; "2022-03-22 01:31:31.343064+00:00"; "2025-03-05 02:47:05.411745+00:00"; "2022-03-22 01:31:31.343064+00:00"; "UiT The Arctic University of Norway (UiT) and the Norwegian University of Science and Technology (NTNU) established a light observatory at Kings Bay, Ny-Ålesund (Svalbard, Norway) in January 2017. The observatory consists of an array of light sensors including an all sky camera. It is located outside the settlement of Ny-Ålesund, approximately 1 km N-NW of the airport towards Brandalspynten. The array of sensors is mounted on a tripod under a transparent dome. This dataset contains the data of the hyperspectral radiometer USSIMO (In-situ Marine Optics, Perth, WA, Australia). It is equipped with a Zeiss MMS1 UV-VIS NIR detector with National Institute of Standards and Technology, USA traceable radiometric calibration between 380 and 900 nm. This instrument is used for time-series measurement of down-welling spectral irradiance in energy Wm-2 nm-1. Spectral resolution is 10 nm (3.3 nm pixel spacing) and a cosine-corrected polytetrafluoroethylene (PTFE) light diffusor with cosine error: <3% (0 - 60°), <10% (60 - 87.5°), is fitted. The device acquired measurements with a 16 bit analogue to digital converter. It samples continuously internally. Integration time is controlled by the sensor depending on the light intensity, with a maximum of 6 seconds. Actual integration time is stored with the data in each sample. The sensor output is saved on a PC with custom software which records 30 seconds of output data every 29:30 min. Number of samples collected in that period depends on the USSIMO integration time. The sensor is equipped with a pitch and roll sensor which is used to ensure that the spectroradiometer remains in the fixed position throughout the time-series acquisition. This dataset contains the 2019 data."; "application/ld+json"; , , , ; "https://w3id.org/ro-id/2eed7eb1-bb6d-4336-b4ec-b832d41270af"; ; "USSIMO spectroradiometer raw data time series (2019) measured under the dome of a light observatory in the Arctic (Ny-Ålesund, Svalbard, Norway)"; "MANUAL"; "https://w3id.org/ro-id/2eed7eb1-bb6d-4336-b4ec-b832d41270af/50972f9a-041f-46bd-9d1e-f5c5a55a40db"; "Jørgen Berge, Stephen Grant, Rune Bjørgum, Jonathan H. Cohen, David McKee, Geir Johnsen, Artur Zolich, Tomasz Piotr Kopec, Daniel Ludwig Vogedes, and UiT The Arctic University of Norway (UiT). \"USSIMO spectroradiometer raw data time series (2019) measured under the dome of a light observatory in the Arctic (Ny-Ålesund, Svalbard, Norway).\" ROHub. Mar 22 ,2022. https://w3id.org/ro-id/2eed7eb1-bb6d-4336-b4ec-b832d41270af." . a , ; "POINT (11.84213 78.94116)" . a , ; "metadata" . a , ; "biblio" . a , ; "raw data" . a , ; ; "data" . a , , ; dct:bibliographicCitation "Berge, J., Grant, S., Bjørgum, R., Cohen, J. H., McKee, D., Johnsen, G., Zolich, A., Kopec, T. P., Vogedes, D. L., UiT The Arctic University of Norway (2021).USSIMO spectroradiometer raw data time series (2019) measured under the dome of a light observatory in the Arctic (Ny-Ålesund, Svalbard, Norway) [Data set]. Norstore. https://doi.org/10.11582/2021.00045"; dct:rightsHolder "UiT The Arctic University of Norway (UiT)"; dct:type "Observation"; ; "https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00045"; ; "2021-05-19 00:00:00"; "2022-03-22 01:32:34.318806+00:00"; "UiT The Arctic University of Norway (UiT) and the Norwegian University of Science and Technology (NTNU) established a light observatory at Kings Bay, Ny-Ålesund (Svalbard, Norway) in January 2017. The observatory consists of an array of light sensors including an all sky camera. It is located outside the settlement of Ny-Ålesund, approximately 1 km N-NW of the airport towards Brandalspynten. The array of sensors is mounted on a tripod under a transparent dome. This dataset contains the data of the hyperspectral radiometer USSIMO (In-situ Marine Optics, Perth, WA, Australia). It is equipped with a Zeiss MMS1 UV-VIS NIR detector with National Institute of Standards and Technology, USA traceable radiometric calibration between 380 and 900 nm. This instrument is used for time-series measurement of down-welling spectral irradiance in energy Wm-2 nm-1. Spectral resolution is 10 nm (3.3 nm pixel spacing) and a cosine-corrected polytetrafluoroethylene (PTFE) light diffusor with cosine error: <3% (0 - 60°), <10% (60 - 87.5°), is fitted. The device acquired measurements with a 16 bit analogue to digital converter. It samples continuously internally. Integration time is controlled by the sensor depending on the light intensity, with a maximum of 6 seconds. Actual integration time is stored with the data in each sample. The sensor output is saved on a PC with custom software which records 30 seconds of output data every 29:30 min. Number of samples collected in that period depends on the USSIMO integration time. The sensor is equipped with a pitch and roll sensor which is used to ensure that the spectroradiometer remains in the fixed position throughout the time-series acquisition. This dataset contains the 2019 data."; ; "USSIMO spectroradiometer raw data time series (2019) measured under the dome of a light observatory in the Arctic (Ny-Ålesund, Svalbard, Norway)"; "2021-05-19 00:00:00"; "Daniel Ludwig Vogedes" . a ; dct:conformsTo ; . a ; "artur.zolich@rohub.com"; "Artur Zolich" . a ; "david.mckee@rohub.com"; "David McKee" . a ; "geir.johnsen@rohub.com"; "Geir Johnsen" . a ; "jonathan.h.cohen@rohub.com"; "Jonathan H. Cohen" . a ; "rune.bjorgum@rohub.com"; "Rune Bjørgum" . a ; "stephen.grant@rohub.com"; "Stephen Grant" . a , , , , , , , ; "", "", "", "", "", "", "", ""; "Life sciences", "Life sciences", "Life sciences", "Life sciences", "Life sciences", "Life sciences", "Life sciences", "Life sciences" . a , , , , , , , ; "", "", "", "", "", "", "", ""; "Physical sciences", "Physical sciences", "Physical sciences", "Physical sciences", "Physical sciences", "Physical sciences", "Physical sciences", "Physical sciences" . a ; "11.84213"; "78.94116"; "POINT (11.84213 78.94116)" . a ; ; "2b40daef-2152-44ad-9a28-a0d37f288bec"; "POINT (11.84213 78.94116)" . a ; "service-account-enrichment" . a , , , , ; , , ; , , , , , , , , , ; ; 13206; "https://api.rohub.org/api/ros/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/crate/download/"; ; "2022-03-22 01:32:35.810584+00:00"; "2025-03-05 02:47:05.631433+00:00"; "2022-03-22 01:32:35.810584+00:00"; "UiT The Arctic University of Norway (UiT) and the Norwegian University of Science and Technology (NTNU) established a light observatory at Kings Bay, Ny-Ålesund (Svalbard, Norway) in January 2017. The observatory consists of an array of light sensors including an all sky camera. It is located outside the settlement of Ny-Ålesund, approximately 1 km N-NW of the airport towards Brandalspynten. The array of sensors is mounted on a tripod under a transparent dome. This dataset contains the data of the hyperspectral radiometer USSIMO (In-situ Marine Optics, Perth, WA, Australia). It is equipped with a Zeiss MMS1 UV-VIS NIR detector with National Institute of Standards and Technology, USA traceable radiometric calibration between 380 and 900 nm. This instrument is used for time-series measurement of down-welling spectral irradiance in energy Wm-2 nm-1. Spectral resolution is 10 nm (3.3 nm pixel spacing) and a cosine-corrected polytetrafluoroethylene (PTFE) light diffusor with cosine error: <3% (0 - 60°), <10% (60 - 87.5°), is fitted. The device acquired measurements with a 16 bit analogue to digital converter. It samples continuously internally. Integration time is controlled by the sensor depending on the light intensity, with a maximum of 6 seconds. Actual integration time is stored with the data in each sample. The sensor output is saved on a PC with custom software which records 30 seconds of output data every 29:30 min. Number of samples collected in that period depends on the USSIMO integration time. The sensor is equipped with a pitch and roll sensor which is used to ensure that the spectroradiometer remains in the fixed position throughout the time-series acquisition. This dataset contains the 2020 data."; "application/ld+json"; , , , ; "https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f"; ; "USSIMO spectroradiometer raw data time series (2020) measured under the dome of a light observatory in the Arctic (Ny-Ålesund, Svalbard, Norway)"; "MANUAL"; "Norway", "Teflon", "data", "dataset", "observatory", "raw data", "sensor", "spectroradiometer", "time series"; "earth sciences"; "IT-computer sciences", "Nanotechnology", "Software", "Synthetic and plastic chemicals", "University"; "Norway", "data", "dataset", "observatory", "sensor", "spectroradiometer", "time series"; "engineering"; "USSIMO spectroradiometer raw data time series", "UiT The Arctic University", "light observatory", "sensor output", "time-series measurement"; "The observatory consists of an array of light sensors including an all sky camera.", "This dataset contains the data of the hyperspectral radiometer USSIMO In-situ Marine Optics, Perth, WA, Australia) It is equipped with a Zeiss MMS1 UV-VIS NIR detector with National Institute of Standards and Technology, USA traceable radiometric calibration between 380 and 900 nm.", "USSIMO spectroradiometer raw data time series (2020) measured under the dome of a light observatory in the Arctic (Ny-Ålesund, Svalbard, Norway) UiT The Arctic University of Norway (UiT) and the Norwegian University of Science and Technology (NTNU) established a light observatory at Kings Bay, Ny-Ålesund Svalbard, Norway) in January 2017."; "2020", "30 seconds", "in Jan-2017", "of 6 seconds"; "https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/83569c44-db68-4953-bb10-2a5bb71c2635"; "computer science", "database", "physics", "software"; "National Institute of Standards and Technology"; "Arctic Zone", "Australia", "Norway", "Perth", "Svalbard", "United States of America"; "Jørgen Berge, Stephen Grant, Rune Bjørgum, Jonathan H. Cohen, David McKee, Geir Johnsen, Artur Zolich, Tomasz Piotr Kopec, Daniel Ludwig Vogedes, and UiT The Arctic University of Norway (UiT). \"USSIMO spectroradiometer raw data time series (2020) measured under the dome of a light observatory in the Arctic (Ny-Ålesund, Svalbard, Norway).\" ROHub. Mar 22 ,2022. https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f." . a , ; "POINT (11.84213 78.94116)" . a , ; "metadata" . a , ; "raw data" . a , ; ; "data" . a , ; "biblio" . a , , ; dct:bibliographicCitation "Berge, J., Grant, S., Bjørgum, R., Cohen, J. H., McKee, D., Johnsen, G., Zolich, A., Kopec, T. P., Vogedes, D. L., UiT The Arctic University of Tromsø (2021).USSIMO spectroradiometer raw data time series (2020) measured under the dome of a light observatory in the Arctic (Ny-Ålesund, Svalbard, Norway) [Data set]. Norstore. https://doi.org/10.11582/2021.00046"; dct:rightsHolder "UiT The Arctic University of Norway (UiT)"; dct:type "Observation"; ; "https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00046"; ; "2021-05-19 00:00:00"; "2022-03-22 01:33:42.099209+00:00"; "UiT The Arctic University of Norway (UiT) and the Norwegian University of Science and Technology (NTNU) established a light observatory at Kings Bay, Ny-Ålesund (Svalbard, Norway) in January 2017. The observatory consists of an array of light sensors including an all sky camera. It is located outside the settlement of Ny-Ålesund, approximately 1 km N-NW of the airport towards Brandalspynten. The array of sensors is mounted on a tripod under a transparent dome. This dataset contains the data of the hyperspectral radiometer USSIMO (In-situ Marine Optics, Perth, WA, Australia). It is equipped with a Zeiss MMS1 UV-VIS NIR detector with National Institute of Standards and Technology, USA traceable radiometric calibration between 380 and 900 nm. This instrument is used for time-series measurement of down-welling spectral irradiance in energy Wm-2 nm-1. Spectral resolution is 10 nm (3.3 nm pixel spacing) and a cosine-corrected polytetrafluoroethylene (PTFE) light diffusor with cosine error: <3% (0 - 60°), <10% (60 - 87.5°), is fitted. The device acquired measurements with a 16 bit analogue to digital converter. It samples continuously internally. Integration time is controlled by the sensor depending on the light intensity, with a maximum of 6 seconds. Actual integration time is stored with the data in each sample. The sensor output is saved on a PC with custom software which records 30 seconds of output data every 29:30 min. Number of samples collected in that period depends on the USSIMO integration time. The sensor is equipped with a pitch and roll sensor which is used to ensure that the spectroradiometer remains in the fixed position throughout the time-series acquisition. This dataset contains the 2020 data."; ; "USSIMO spectroradiometer raw data time series (2020) measured under the dome of a light observatory in the Arctic (Ny-Ålesund, Svalbard, Norway)"; "2021-05-19 00:00:00"; "Daniel Ludwig Vogedes" . a ; dct:conformsTo ; . a , , , ; "UiT@rohub.com", "UiT@rohub.com", "UiT@rohub.com", "UiT@rohub.com"; "UiT The Arctic University of Norway (UiT)", "UiT The Arctic University of Norway (UiT)", "UiT The Arctic University of Norway (UiT)", "UiT The Arctic University of Norway (UiT)" . a ; "artur.zolich@rohub.com"; "Artur Zolich" . a , , , ; "daniel.ludwig.vogedes@rohub.com", "daniel.ludwig.vogedes@rohub.com", "daniel.ludwig.vogedes@rohub.com", "daniel.ludwig.vogedes@rohub.com"; "Daniel Ludwig Vogedes", "Daniel Ludwig Vogedes", "Daniel Ludwig Vogedes", "Daniel Ludwig Vogedes" . a ; "david.mckee@rohub.com"; "David McKee" . a ; "geir.johnsen@rohub.com"; "Geir Johnsen" . a , , , , , , ; "Geo H.", "Geo H.", "Geo H.", "Geo H.", "Geo H.", "Geo H.", "Geo H." . a ; "jonathan.h.cohen@rohub.com"; "Jonathan H. Cohen" . a , , , ; "jorgen.berge@rohub.com", "jorgen.berge@rohub.com", "jorgen.berge@rohub.com", "jorgen.berge@rohub.com"; "Jørgen Berge", "Jørgen Berge", "Jørgen Berge", "Jørgen Berge" . a ; "rune.bjorgum@rohub.com"; "Rune Bjørgum" . a ; "stephen.grant@rohub.com"; "Stephen Grant" . a , , ; "tomasz.piotr.kopec@rohub.com", "tomasz.piotr.kopec@rohub.com", "tomasz.piotr.kopec@rohub.com"; "Tomasz Piotr Kopec", "Tomasz Piotr Kopec", "Tomasz Piotr Kopec" . a , , , , , , ; "", "", "", "", "", "", ""; "Environmental research", "Environmental research", "Environmental research", "Environmental research", "Environmental research", "Environmental research", "Environmental research" . a , , , , ; "", "", "", "", ""; "Earth sciences", "Earth sciences", "Earth sciences", "Earth sciences", "Earth sciences" . a ; "22.2991"; "80.2951"; "POINT (22.2991 80.2951)" . a ; ; "8a93a745-c942-415f-a9d8-def5bede99b1"; "POINT (22.2991 80.2951)" . a ; "service-account-enrichment" . a , , , , ; , , , ; , , , , , , ; ; 11405; "https://api.rohub.org/api/ros/4ff3f101-109b-4e35-babc-46862cd4d330/crate/download/"; ; "2022-03-22 01:39:08.957789+00:00"; "2025-03-05 01:24:11.330191+00:00"; "2022-03-22 01:39:08.957789+00:00"; """As part of the \"KROP - Kongsfjorden Rijpfjorden Observatory Programme\" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. The observatories consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This dataset contains the CTD, PAR and fluorescence data from Rijpfjorden 2018-2020. Fluorescence data is given as raw voltage only, due to calibration and fouling issues. It is meant as an indication of the timing of the phytoplankton bloom, not as absolute chlorophyll a concentration. No post-recovery processing of light data (to correct for fouling) has been performed. The observatory layout is available in the mooring diagram provided. The mooring was deployed for 2 years due to heavy ice cover on Rijpfjorden in 2019 which made recovery impossible. It was equipped with 6 SBE37 to get a good picture of the water mass exchange throughout the water column. All sensor still logging after 2 years, the sediment trap only collected the 2018-19 samples."""; "application/ld+json"; , , , ; "https://w3id.org/ro-id/4ff3f101-109b-4e35-babc-46862cd4d330"; ; "Temperature, salinity, light and fluorescence (CTD) measurements from the Rijpfjorden (Svalbard) marine observatory (mooring) August 2018-September 2020"; "MANUAL"; "Svalbard", "dataset", "diagram", "fluorescence", "information", "mooring", "observatory", "occupational overuse syndrome", "recovery", "sediment", "temperature", "trap"; "earth sciences"; "CTD", "Kongsfjorden Rijpfjorden Observatory Programme", "Rijpfjorden", "data", "fluorescence", "mooring", "observatory"; "space sciences"; "fluorescence data", "mooring diagram", "observatories consist", "observatory layout", "sediment trap"; "As part of the \"KROP - Kongsfjorden Rijpfjorden Observatory Programme\" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden.", "The observatory layout is available in the mooring diagram provided.", "This dataset contains the CTD, PAR and fluorescence data from Rijpfjorden 2018-2020."; "2018-2020", "Aug-2018-Sep-2020", "after 2 years", "for 2 years", "in 2019 which", "the 2018-2019"; "https://w3id.org/ro-id/4ff3f101-109b-4e35-babc-46862cd4d330/0bf6a835-85bd-4000-bb1d-2c6077e214bb"; "armed forces", "medicine", "physics"; "Svalbard"; "Jørgen Berge, Finlo Cottier, Tomasz Piotr Kopec, Estelle Dumont, Emily Joanne Venables, Daniel Ludwig Vogedes, and UiT The Arctic University of Norway (UiT). \"Temperature, salinity, light and fluorescence (CTD) measurements from the Rijpfjorden (Svalbard) marine observatory (mooring) August 2018-September 2020.\" ROHub. Mar 22 ,2022. https://w3id.org/ro-id/4ff3f101-109b-4e35-babc-46862cd4d330." . a , ; "POINT (22.2991 80.2951)" . a , ; "biblio" . a , ; ; "data" . a , ; "raw data" . a , ; "metadata" . a , , ; dct:bibliographicCitation "Berge, J., Cottier, F., Kopec, T. P., Dumont, E., Venables, E. J., Vogedes, D. L., UiT The Arctic University of Norway (2021).Temperature, salinity, light and fluorescence (CTD) measurements from the Rijpfjorden (Svalbard) marine observatory (mooring) August 2018-September 2020 [Data set]. Norstore. https://doi.org/10.11582/2021.00031"; dct:rightsHolder "UiT The Arctic University of Norway (UiT)"; dct:type "Observation"; ; "https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00031"; ; "2021-04-26 00:00:00"; "2022-03-22 01:40:00.650124+00:00"; """As part of the \"KROP - Kongsfjorden Rijpfjorden Observatory Programme\" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. The observatories consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This dataset contains the CTD, PAR and fluorescence data from Rijpfjorden 2018-2020. Fluorescence data is given as raw voltage only, due to calibration and fouling issues. It is meant as an indication of the timing of the phytoplankton bloom, not as absolute chlorophyll a concentration. No post-recovery processing of light data (to correct for fouling) has been performed. The observatory layout is available in the mooring diagram provided. The mooring was deployed for 2 years due to heavy ice cover on Rijpfjorden in 2019 which made recovery impossible. It was equipped with 6 SBE37 to get a good picture of the water mass exchange throughout the water column. All sensor still logging after 2 years, the sediment trap only collected the 2018-19 samples."""; ; "Temperature, salinity, light and fluorescence (CTD) measurements from the Rijpfjorden (Svalbard) marine observatory (mooring) August 2018-September 2020"; "2021-04-26 00:00:00"; "Daniel Ludwig Vogedes" . a ; dct:conformsTo ; . a , ; "emily.joanne.venables@rohub.com", "emily.joanne.venables@rohub.com"; "Emily Joanne Venables", "Emily Joanne Venables" . a , , ; "estelle.dumont@rohub.com", "estelle.dumont@rohub.com", "estelle.dumont@rohub.com"; "Estelle Dumont", "Estelle Dumont", "Estelle Dumont" . a , , ; "finlo.cottier@rohub.com", "finlo.cottier@rohub.com", "finlo.cottier@rohub.com"; "Finlo Cottier", "Finlo Cottier", "Finlo Cottier" . a ; ; "5fd6c729-070e-411d-b60c-08a8daa9cce2"; "POINT (22.3038 80.2943)" . a ; "22.3038"; "80.2943"; "POINT (22.3038 80.2943)" . a ; "service-account-enrichment" . a , , , , ; , , , ; , , , , , , ; ; 11334; "https://api.rohub.org/api/ros/65a52384-b1db-4b77-ab42-d61b495ba937/crate/download/"; ; "2022-03-22 01:49:03.345354+00:00"; "2025-03-05 01:24:12.299726+00:00"; "2022-03-22 01:49:03.345354+00:00"; """As part of the \"KROP - Kongsfjorden Rijpfjorden Observatory Programme\" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. The observatories consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This dataset contains the CTD, PAR and fluorescence data from Rijpfjorden 2014-2015. Fluorescence data is given as raw voltage only, due to calibration and fouling issues. It is meant as an indication of the timing of the phytoplankton bloom, not as absolute chlorophyll a concentration. No post-recovery processing of light data (to correct for fouling) has been performed. Together with the top and bottom SBE37 two plastic settlement plates had been deployed for a settlement experiment for the recruitment of benthic invertebrates. The sediment trap was mounted at 58m instead the usual depth of 100 m because of specific requirements for an experiment. The observatory layout is available in the mooring diagram provided."""; "application/ld+json"; , , , ; "https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937"; ; "Temperature, salinity, light and fluorescence (CTD) measurements from the Rijpfjorden (Svalbard) marine observatory (mooring) September 2014-September 2015"; "MANUAL"; "Svalbard", "dataset", "diagram", "fluorescence", "information", "layout", "mooring", "observatory", "occupational overuse syndrome", "sediment", "temperature", "trap"; "earth sciences"; "Synthetic and plastic chemicals"; "CTD", "Kongsfjorden Rijpfjorden Observatory Programme", "Rijpfjorden", "data", "fluorescence", "mooring", "observatory"; "space sciences"; "fluorescence data", "mooring diagram", "observatories consist", "observatory layout", "sediment trap"; "As part of the \"KROP - Kongsfjorden Rijpfjorden Observatory Programme\" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden.", "The observatory layout is available in the mooring diagram provided.", "This dataset contains the CTD, PAR and fluorescence data from Rijpfjorden 2014-2015."; "2014-2015", "Sep-2014-Sep-2015"; "https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937/1280bc3c-1c8e-41f1-be9b-3e605e49280a"; "armed forces", "marine biology", "medicine", "physics"; "Svalbard"; "Jørgen Berge, Finlo Cottier, Estelle Dumont, John Beaton, Colin Griffith, Daniel Ludwig Vogedes, and UiT The Arctic University of Norway (UiT). \"Temperature, salinity, light and fluorescence (CTD) measurements from the Rijpfjorden (Svalbard) marine observatory (mooring) September 2014-September 2015.\" ROHub. Mar 22 ,2022. https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937." . a , ; "POINT (22.3038 80.2943)" . a , ; "raw data" . a , ; "biblio" . a , ; "metadata" . a , ; ; "data" . a , , ; dct:bibliographicCitation "Berge, J., Cottier, F., Dumont, E., Beaton, J., Griffith, C., Vogedes, D. L., UiT The Arctic University of Norway (2021).Temperature, salinity, light and fluorescence (CTD) measurements from the Rijpfjorden (Svalbard) marine observatory (mooring) September 2014-September 2015 [Data set]. Norstore. https://doi.org/10.11582/2021.00018"; dct:rightsHolder "Daniel Ludwig Vogedes"; dct:type "Observation"; ; "https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00018"; ; "2021-03-22 00:00:00"; "2022-03-22 01:49:53.563806+00:00"; """As part of the \"KROP - Kongsfjorden Rijpfjorden Observatory Programme\" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. The observatories consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This dataset contains the CTD, PAR and fluorescence data from Rijpfjorden 2014-2015. Fluorescence data is given as raw voltage only, due to calibration and fouling issues. It is meant as an indication of the timing of the phytoplankton bloom, not as absolute chlorophyll a concentration. No post-recovery processing of light data (to correct for fouling) has been performed. Together with the top and bottom SBE37 two plastic settlement plates had been deployed for a settlement experiment for the recruitment of benthic invertebrates. The sediment trap was mounted at 58m instead the usual depth of 100 m because of specific requirements for an experiment. The observatory layout is available in the mooring diagram provided."""; ; "Temperature, salinity, light and fluorescence (CTD) measurements from the Rijpfjorden (Svalbard) marine observatory (mooring) September 2014-September 2015"; "2021-03-22 00:00:00"; "Daniel Ludwig Vogedes" . a ; dct:conformsTo ; . a ; "colin.griffith@rohub.com"; "Colin Griffith" . a ; "john.beaton@rohub.com"; "John Beaton" . a ; "22.29918"; "80.29443"; "POINT (22.29918 80.29443)" . a ; ; "d52a1692-016e-478f-95fc-cc06435a0ee2"; "POINT (22.29918 80.29443)" . a ; "service-account-enrichment" . a , , , , ; , , , ; , , , , , , ; ; 11088; "https://api.rohub.org/api/ros/2939a6bb-c42b-4c16-af6a-a56cc065079b/crate/download/"; ; "2022-03-22 01:51:43.001070+00:00"; "2025-03-05 01:24:11.147171+00:00"; "2022-03-22 01:51:43.001070+00:00"; """As part of the \"KROP - Kongsfjorden Rijpfjorden Observatory Programme\" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. The observatories consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This dataset contains the CTD, PAR and fluorescence data from Rijpfjorden 2017-2018. Fluorescence data is given as raw voltage only, due to calibration and fouling issues. It is meant as an indication of the timing of the phytoplankton bloom, not as absolute chlorophyll a concentration. No post-recovery processing of light data (to correct for fouling) has been performed. The observatory layout is available in the mooring diagram provided."""; "application/ld+json"; , , , ; "https://w3id.org/ro-id/2939a6bb-c42b-4c16-af6a-a56cc065079b"; ; "Temperature, salinity, light and fluorescence (CTD) measurements from the Rijpfjorden (Svalbard) marine observatory (mooring) August 2017-August 2018"; "MANUAL"; "Svalbard", "dataset", "diagram", "fluorescence", "information", "layout", "mooring", "observatory", "occupational overuse syndrome", "processing", "recovery", "temperature"; "earth sciences"; "CTD", "Kongsfjorden Rijpfjorden Observatory Programme", "Rijpfjorden", "data", "fluorescence", "mooring", "observatory"; "space sciences"; "fluorescence data", "mooring diagram", "observatories consist", "observatory layout", "recovery processing"; "As part of the \"KROP - Kongsfjorden Rijpfjorden Observatory Programme\" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden.", "The observatory layout is available in the mooring diagram provided.", "This dataset contains the CTD, PAR and fluorescence data from Rijpfjorden 2017-2018."; "2017-2018", "Aug-2017-Aug-2018"; "https://w3id.org/ro-id/2939a6bb-c42b-4c16-af6a-a56cc065079b/e1bb7d0c-c504-422b-a45e-3dbd5b72448d"; "medicine", "physics"; "Svalbard"; "Jørgen Berge, Finlo Cottier, Tomasz Piotr Kopec, Estelle Dumont, Emily Joanne Venables, Daniel Ludwig Vogedes, and UiT The Arctic University of Norway (UiT). \"Temperature, salinity, light and fluorescence (CTD) measurements from the Rijpfjorden (Svalbard) marine observatory (mooring) August 2017-August 2018.\" ROHub. Mar 22 ,2022. https://w3id.org/ro-id/2939a6bb-c42b-4c16-af6a-a56cc065079b." . a , ; "POINT (22.29918 80.29443)" . a , ; "biblio" . a , ; "metadata" . a , ; "raw data" . a , ; ; "data" . a , , ; dct:bibliographicCitation "Berge, J., Cottier, F., Kopec, T. P., Dumont, E., Venables, E. J., Vogedes, D. L., UiT The Arctic University of Norway (2021).Temperature, salinity, light and fluorescence (CTD) measurements from the Rijpfjorden (Svalbard) marine observatory (mooring) August 2017-August 2018 [Data set]. Norstore. https://doi.org/10.11582/2021.00017"; dct:rightsHolder "UiT The Arctic University of Norway (UiT)"; dct:type "Observation"; ; "https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00017"; ; "2021-03-12 00:00:00"; "2022-03-22 01:52:37.735565+00:00"; """As part of the \"KROP - Kongsfjorden Rijpfjorden Observatory Programme\" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. The observatories consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This dataset contains the CTD, PAR and fluorescence data from Rijpfjorden 2017-2018. Fluorescence data is given as raw voltage only, due to calibration and fouling issues. It is meant as an indication of the timing of the phytoplankton bloom, not as absolute chlorophyll a concentration. No post-recovery processing of light data (to correct for fouling) has been performed. The observatory layout is available in the mooring diagram provided."""; ; "Temperature, salinity, light and fluorescence (CTD) measurements from the Rijpfjorden (Svalbard) marine observatory (mooring) August 2017-August 2018"; "2021-03-12 00:00:00"; "Daniel Ludwig Vogedes" . a ; dct:conformsTo ; . a ; "data from Norwegian Meteorological Institute" . a ; "meteorology" . a ; "Norway" . a ; "trends in cold spell" . a ; "observational data" . a ; "frequency" . a ; "analysis" . a ; "cold weather" . a , ; "dataset", "dataset" . a ; "reanalysis data" . a ; "data from ERA5" . a ; "Norway" . a ; "spell" . a ; "re-analysis" . a ; "trend" . a , ; "information", "information" . a ; "Norwegian Meteorological Institute" . a ; "POLYGON ((-20.0 80.0, 40.0 80.0, 40.0 40.0, -20.0 40.0, -20.0 80.0))"; "-20.0 80.0, 40.0 80.0, 40.0 40.0, -20.0 40.0, -20.0 80.0" . a ; ; "b5d7b903-059c-4f00-9347-ffa7082d698d"; "POLYGON ((-20.0 80.0, 40.0 80.0, 40.0 40.0, -20.0 40.0, -20.0 80.0))" . a ; "service-account-enrichment" . a , , , , ; , , , ; ; ; 7693; "https://api.rohub.org/api/ros/cb7986b3-a55f-4281-af69-7269917b8a02/crate/download/"; ; "2022-03-22 01:52:57.468777+00:00"; "2025-03-05 00:50:49.038103+00:00"; "2022-03-22 01:52:57.468777+00:00"; "This data set contains an analysis of observational data from Norwegian Meteorological Institute and reanalysis data from ERA5."; "application/ld+json"; , , , ; "https://w3id.org/ro-id/cb7986b3-a55f-4281-af69-7269917b8a02"; ; "Frequency and trends in cold and warm spells in Norway in relation to large-scale atmospheric circulation"; "MANUAL"; "https://w3id.org/ro-id/cb7986b3-a55f-4281-af69-7269917b8a02/f7002b1d-65c6-4458-9cf7-c54a1f7585b9"; "Marek Ratajczak. \"Frequency and trends in cold and warm spells in Norway in relation to large-scale atmospheric circulation.\" ROHub. Mar 22 ,2022. https://w3id.org/ro-id/cb7986b3-a55f-4281-af69-7269917b8a02." . a , ; "POLYGON ((-20.0 80.0, 40.0 80.0, 40.0 40.0, -20.0 40.0, -20.0 80.0))" . a , ; "biblio" . a , ; "metadata" . a , ; ; "data" . a , ; "raw data" . a , , ; dct:bibliographicCitation "Ratajczak, M. (2021).Frequency and trends in cold and warm spells in Norway in relation to large-scale atmospheric circulation [Data set]. Norstore. https://doi.org/10.11582/2021.00016"; dct:rightsHolder "Marek Grzegorz Ratajczak"; dct:type "Observation"; ; "https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00016"; ; "2021-03-11 00:00:00"; "2022-03-22 01:53:15.007448+00:00"; "This data set contains an analysis of observational data from Norwegian Meteorological Institute and reanalysis data from ERA5."; ; "Frequency and trends in cold and warm spells in Norway in relation to large-scale atmospheric circulation"; "2021-03-11 00:00:00"; "Marek Grzegorz Ratajczak" . a ; dct:conformsTo ; . a ; "marek.ratajczak@rohub.com"; "Marek Ratajczak" . a , ; "", ""; "Biology", "Biology" . a ; "service-account-enrichment" . a , , , , ; , , , ; ; 7126; "https://api.rohub.org/api/ros/d6328caa-df3b-4b17-9595-d2e361dfccf1/crate/download/"; ; "2022-03-22 01:55:05.007973+00:00"; "2025-03-05 01:19:15.480150+00:00"; "2022-03-22 01:55:05.007973+00:00"; "Custom sequence database from assembled NCBI SRA reads. Supplementary Data to Undheim and Jenner, Nat. Commun., 2021"; "application/ld+json"; , , , ; "https://w3id.org/ro-id/d6328caa-df3b-4b17-9595-d2e361dfccf1"; ; "SRA transcriptome assemblies"; "MANUAL"; "custom", "data", "database", "national", "sequence", "transcriptome"; "earth sciences"; "Genetics", "IT-computer sciences", "Newspaper", "Periodical"; "Commun", "NCBI SRA", "Undheim", "custom", "data", "database", "transcriptome"; "mathematical and computer sciences"; "Nat. Commun", "SRA transcriptome assembly", "custom sequence database", "data to Undheim", "supplementary data"; "Custom sequence database from assembled NCBI SRA reads.", "SRA transcriptome assemblies.", "Supplementary Data to Undheim and Jenner, Nat. Commun."; "database"; "Eivind Undheim. \"SRA transcriptome assemblies.\" ROHub. Mar 22 ,2022. https://w3id.org/ro-id/d6328caa-df3b-4b17-9595-d2e361dfccf1." . a , ; ; "data" . a , ; "metadata" . a , ; "biblio" . a , ; "raw data" . a , , ; dct:bibliographicCitation "Undheim, E. (2020).SRA transcriptome assemblies [Data set]. Norstore. https://doi.org/10.11582/2020.00067"; dct:rightsHolder "Eivind Andreas Baste Undheim"; dct:type "Observation"; ; "https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2020.00067"; ; "2020-12-29 00:00:00"; "2022-03-22 01:55:21.374031+00:00"; "Custom sequence database from assembled NCBI SRA reads. Supplementary Data to Undheim and Jenner, Nat. Commun., 2021"; ; "SRA transcriptome assemblies"; "2020-12-29 00:00:00"; "Eivind Andreas Baste Undheim" . a ; dct:conformsTo ; . a ; "eivind.undheim@rohub.com"; "Eivind Undheim" . a ; "ground station" . a ; "report on the gap" . a ; "fill process" . a ; "physics" . a ; "machine learning" . a ; "soil" . a ; "short wave" . a ; "composition" . a ; "system" . a ; "mailto" . a ; "forest" . a ; "radiation" . a ; "stations from GEBA archive" . a ; "total" . a ; "station" . a ; "aperture" . a ; "mailing" . a ; "machine learning technique" . a ; "UiO"; "trude.storelvmo@geo.uio.no"; "Trude Storelvmo"; "0000-0002-0068-2430" . a ; "service-account-enrichment" . a , , , , ; , , , ; ; 7618; "https://api.rohub.org/api/ros/46f90d7b-1e36-4701-9acd-2681dfe565a6/crate/download/"; ; "2022-03-22 01:55:23.106126+00:00"; "2025-03-05 00:59:11.026646+00:00"; "2022-03-22 01:55:23.106126+00:00"; "Global (diffuse and direct) shortwave downwelling radiation at the surface between year 1961 and 2014. A total of 1847 ground stations from GEBA archive has been selected and been through the machine learning technique \"random forests\" (Breiman, 2001) to fill gaps in from original GEBA dataset. A report on the gap filling process can be attained by e-mailing Trude Storelvmo (LINK: mailto:truds@uio.no)."; "application/ld+json"; , , , ; "https://w3id.org/ro-id/46f90d7b-1e36-4701-9acd-2681dfe565a6"; ; "Gap filled GEBA data"; "MANUAL"; "Trude Storelvmo. \"Gap filled GEBA data.\" ROHub. Mar 22 ,2022. https://w3id.org/ro-id/46f90d7b-1e36-4701-9acd-2681dfe565a6." . a , ; "biblio" . a , ; "raw data" . a , ; "metadata" . a , ; ; "data" . a , , ; dct:bibliographicCitation "Storelvmo, T. (2020).Gap filled GEBA data [Data set]. Norstore. https://doi.org/10.11582/2020.00066"; dct:rightsHolder "Trude Storelvmo"; dct:type "Observation"; ; "https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2020.00066"; ; "2020-12-21 00:00:00"; "2022-03-22 01:55:40.621748+00:00"; "Global (diffuse and direct) shortwave downwelling radiation at the surface between year 1961 and 2014. A total of 1847 ground stations from GEBA archive has been selected and been through the machine learning technique \"random forests\" (Breiman, 2001) to fill gaps in from original GEBA dataset. A report on the gap filling process can be attained by e-mailing Trude Storelvmo (LINK)."; ; "Gap filled GEBA data"; "2020-12-21 00:00:00"; "Trude Storelvmo" . a ; dct:conformsTo ; . a ; "15.52992"; "78.26105"; "POINT (15.52992 78.26105)" . a ; ; "dc5618a8-8b14-4ece-a082-c6a3b691c89b"; "POINT (15.52992 78.26105)" . a ; "service-account-enrichment" . a , , , , ; , , , ; ; ; 8670; "https://api.rohub.org/api/ros/271b95da-7537-43a1-b65b-a5d84f2227ab/crate/download/"; ; "2022-03-22 01:55:42.873140+00:00"; "2025-03-05 01:01:11.472723+00:00"; "2022-03-22 01:55:42.873140+00:00"; "The Isfjorden-Adventfjorden (IsA) time series station is a marine station operated by the University Centre in Svalbard (UNIS). It is located in the mouth of Adventfjorden within Isfjorden on the west coast of Spitsbergen, and is frequently influenced by inflow of warm Atlantic Water from the West Spitsbergen Current. The station is therefore well suited for monitoring seasonal variability and ecosystem effects of climate change. IsA has been sampled on a monthly basis since December 2011. This dataset represents the acid-corrected Chl a values from several depths."; "application/ld+json"; , , , ; "https://w3id.org/ro-id/271b95da-7537-43a1-b65b-a5d84f2227ab"; ; "ISA_Svalbard_Chlorophyll_A_2011_2019"; "MANUAL"; "Atlantic Ocean", "Spitsbergen", "broadcasting station", "dataset", "ecosystem", "effects of climate change", "inflow", "station", "stream mouth", "time series", "variability"; "earth sciences"; "Climate change", "Ecosystem", "IT-computer sciences", "Weather"; "Atlantic Ocean", "ISA_Svalbard_Chlorophyll_A_2011_2019", "Isfjorden-Adventfjorden", "University Centre", "dataset", "inflow", "time series"; "geosciences"; "Atlantic water", "West Spitsbergen Current", "ecosystem effects of climate change", "mouth of Adventfjorden", "time series station"; "IsA has been sampled on a monthly basis since December 2011.", "The Isfjorden-Adventfjorden (IsA) time series station is a marine station operated by the University Centre in Svalbard (UNIS) It is located in the mouth of Adventfjorden within Isfjorden on the west coast of Spitsbergen, and is frequently influenced by inflow of warm Atlantic Water from the West Spitsbergen Current.", "The station is therefore well suited for monitoring seasonal variability and ecosystem effects of climate change."; "since Dec-2011"; "https://w3id.org/ro-id/271b95da-7537-43a1-b65b-a5d84f2227ab/388c2df4-da51-4c59-8696-918f504891a6"; "ecology", "hydrography"; "Atlantic Ocean", "Spitsbergen", "Svalbard"; "University Centre in Svalbard (UNIS). \"ISA_Svalbard_Chlorophyll_A_2011_2019.\" ROHub. Mar 22 ,2022. https://w3id.org/ro-id/271b95da-7537-43a1-b65b-a5d84f2227ab." . a , ; "POINT (15.52992 78.26105)" . a , ; ; "data" . a , ; "raw data" . a , ; "metadata" . a , ; "biblio" . a , , ; dct:bibliographicCitation "University Centre in Svalbard (2020).ISA_Svalbard_Chlorophyll_A_2011_2019 [Data set]. Norstore. https://doi.org/10.11582/2020.00063"; dct:rightsHolder "University Centre in Svalbard (UNIS)"; dct:type "Observation"; ; "https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2020.00063"; ; "2020-12-09 00:00:00"; "2022-03-22 01:56:01.214326+00:00"; "The Isfjorden-Adventfjorden (IsA) time series station is a marine station operated by the University Centre in Svalbard (UNIS). It is located in the mouth of Adventfjorden within Isfjorden on the west coast of Spitsbergen, and is frequently influenced by inflow of warm Atlantic Water from the West Spitsbergen Current. The station is therefore well suited for monitoring seasonal variability and ecosystem effects of climate change. IsA has been sampled on a monthly basis since December 2011. This dataset represents the acid-corrected Chl a values from several depths."; ; "ISA_Svalbard_Chlorophyll_A_2011_2019"; "2020-12-09 00:00:00"; "Luke Marsden" . a ; dct:conformsTo ; . a ; "UNIS@rohub.com"; "University Centre in Svalbard (UNIS)" . a , , , , ; "Geo H.", "Geo H.", "Geo H.", "Geo H.", "Geo H." . a , , , , ; "", "", "", "", ""; "Environmental research", "Environmental research", "Environmental research", "Environmental research", "Environmental research" . a , , , , ; "", "", "", "", ""; "Life sciences", "Life sciences", "Life sciences", "Life sciences", "Life sciences" . a , , , , ; "", "", "", "", ""; "Physical sciences", "Physical sciences", "Physical sciences", "Physical sciences", "Physical sciences" . a , ; "", ""; "Chemistry", "Chemistry" . a ; "force field"; "23.076923076923077"; "9.9" . a ; "biochemistry"; "58.82352941176471"; "6.0" . a ; "file"; "13.51981351981352"; "5.8" . a ; "results file"; "13.58428805237316"; "8.3" . a ; "Organic chemical"; "Economy, business and finance/Economic sector/Chemicals/Organic chemical" . a ; "betterment"; "11.616766467065867"; "9.7" . a ; "Physics"; "Science and technology/Natural science/Physics" . a ; "raw data"; "7.18562874251497"; "6.0" . a ; "chemistry and materials (general)"; "100.0"; "0.38146594166755676" . a ; "validation"; "10.955710955710956"; "4.7" . a ; "force field"; "16.047904191616766"; "13.4" . a ; "Newspaper"; "Arts, culture and entertainment/Mass media/Newspaper" . a ; "Results are divided in QM calculations+force field comparison and improvements, and force field parameter validations."; "37.755102040816325"; "14.8" . a ; "Results for Tyrosine-choline, Phenylalanine-choline and Tryptophan-choline force field improvements."; "28.061224489795915"; "11.0" . a ; "improvement"; "16.083916083916083"; "6.9" . a ; "earth sciences"; "100.0"; "0.620610237121582" . a ; "result"; "6.107784431137724"; "5.1" . a ; "manuscripts file"; "8.67430441898527"; "5.3" . a ; "comparison"; "4.6706586826347305"; "3.9" . a ; "quartermaster"; "8.622754491017965"; "7.2" . a ; "chemistry and materials"; "100.0"; "0.38146594166755676" . a ; "force field comparison"; "20.29459901800327"; "12.4" . a ; "QM calculation"; "12.76595744680851"; "7.8" . a ; "computer science"; "18.627450980392158"; "1.9" . a ; "service-account-enrichment" . a , , , , ; , , , ; ; 9478; "https://api.rohub.org/api/ros/b7df46c2-d54e-4cf0-8600-36516706cfbe/crate/download/"; ; "2022-03-22 02:18:37.698329+00:00"; "2025-03-05 00:45:29.658387+00:00"; "2022-03-22 02:18:37.698329+00:00"; """Results for Tyrosine-choline, Phenylalanine-choline and Tryptophan-choline force field improvements. For ease of processing, results from both works are kept together. Results are divided in QM calculations+force field comparison and improvements, and force field parameter validations. If you have trouble navigating, please send email to LINK: mailto:reza.611@gmail.com. ### Please see the file \"file_organisations\" for the directories and subdirectories. # Results files are organised based on QM calculations and force field comparisons (also improvements), and Parameters validations where you have the test cases. For the QM calculations, they are based on the softwares and methods used. PSI4 directories for energy decompositions and SAPT methods, further divided in subdiectories. NWCHEM is for all other QM methods, and those can be differentiated by the dircetoty names which contains the method (DFT, MP2, CCSD(T)) and basis sets. CHARMM* directories contains the force field comparison vs the improvements test. The Khan_etal_JCTC_2016 paper contains phenol-TMA and benzene-TMA cases. The Khan_etal_JCTC_2019 contains the indole-TMA case. For the QM part, benzene-tma and indole-tma directories have naming explicitly (i.e. NWCHEM_cat_pi_benzene_tma/, PSI4_calc_benzene_tma/, CHARMM_pes_cat_pi_benzene_tma/). For phenol-TMA, look at the *_RESTART directories; these are the production ones for CHARMM and NWCHEM cases. For PSI4, it is PSI4_calc/). Other directories are old tests with different PES conditions (relaxation etc.). I did not remove them for my personal reference. # For the Parameters validations, reboot_piplc-dmpc/ is the test case for Khan_etal_JCTC_2016; all others are for Khan_etal_JCTC_2019. ### Manuscripts files are seperated for both these works in the main directories with submission files and figures. The raw data are also there. You will also find the raw data in the different results subdirectories. *** I am writing this very quickly, so some explanations might not be obvious. 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If you have trouble navigating, please send email to LINK. ### Please see the file \"file_organisations\" for the directories and subdirectories. # Results files are organised based on QM calculations and force field comparisons (also improvements), and Parameters validations where you have the test cases. For the QM calculations, they are based on the softwares and methods used. PSI4 directories for energy decompositions and SAPT methods, further divided in subdiectories. NWCHEM is for all other QM methods, and those can be differentiated by the dircetoty names which contains the method (DFT, MP2, CCSD(T)) and basis sets. CHARMM* directories contains the force field comparison vs the improvements test. The Khan_etal_JCTC_2016 paper contains phenol-TMA and benzene-TMA cases. The Khan_etal_JCTC_2019 contains the indole-TMA case. 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Mar 22 ,2022. https://w3id.org/ro-id/6d7f7856-f2c8-4172-9a35-ef22b6cc4561." . a , ; "metadata" . a , ; "raw data" . a , ; ; "data" . a , ; ; "biblio" . a dct:BibliographicResource, , ; ; "https://doi.org/10.1021/acs.jctc.8b00839"; ; "2022-03-22 02:19:11.787124+00:00"; "2022-03-22 02:19:12.026713+00:00"; ; "https://doi.org/10.1021/acs.jctc.8b00839"; "2022-03-22 02:19:11.787124+00:00" . a , , ; dct:bibliographicCitation "Reuter, N. (2021).2019_Khan_etal_JCTC [Data set]. Norstore. https://doi.org/10.11582/2021.00104"; dct:rightsHolder "Nathalie Reuter"; dct:type "Simulation"; ; "https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00104"; ; "2021-11-22 00:00:00"; "2022-03-22 02:19:16.071315+00:00"; """Results for Tyrosine-choline, Phenylalanine-choline and Tryptophan-choline force field improvements. For ease of processing, results from both works are kept together. Results are divided in QM calculations+force field comparison and improvements, and force field parameter validations. If you have trouble navigating, please send email to LINK. ### Please see the file \"file_organisations\" for the directories and subdirectories. # Results files are organised based on QM calculations and force field comparisons (also improvements), and Parameters validations where you have the test cases. For the QM calculations, they are based on the softwares and methods used. PSI4 directories for energy decompositions and SAPT methods, further divided in subdiectories. NWCHEM is for all other QM methods, and those can be differentiated by the dircetoty names which contains the method (DFT, MP2, CCSD(T)) and basis sets. CHARMM* directories contains the force field comparison vs the improvements test. The Khan_etal_JCTC_2016 paper contains phenol-TMA and benzene-TMA cases. The Khan_etal_JCTC_2019 contains the indole-TMA case. For the QM part, benzene-tma and indole-tma directories have naming explicitly (i.e. NWCHEM_cat_pi_benzene_tma/, PSI4_calc_benzene_tma/, CHARMM_pes_cat_pi_benzene_tma/). For phenol-TMA, look at the *_RESTART directories; these are the production ones for CHARMM and NWCHEM cases. For PSI4, it is PSI4_calc/). Other directories are old tests with different PES conditions (relaxation etc.). I did not remove them for my personal reference. # For the Parameters validations, reboot_piplc-dmpc/ is the test case for Khan_etal_JCTC_2016; all others are for Khan_etal_JCTC_2019. ### Manuscripts files are seperated for both these works in the main directories with submission files and figures. The raw data are also there. You will also find the raw data in the different results subdirectories. *** I am writing this very quickly, so some explanations might not be obvious. If you have doubt, please send email to LINK."""; ; "2019_Khan_etal_JCTC"; "2021-11-22 00:00:00"; "Nathalie Reuter" . a ; dct:conformsTo ; . a ; "directory"; "12.121212121212121"; "5.2" . a ; "QM"; "12.121212121212121"; "5.2" . a ; "force field comparison"; "20.29459901800327"; "12.4" . a ; "IT-computer sciences"; "Science and technology/Technology and engineering/IT-computer sciences" . a ; "choline"; "12.121212121212121"; "5.2" . a ; "chemistry and materials (general)"; "100.0"; "0.38146594166755676" . a ; "result"; "6.107784431137724"; "5.1" . a ; "raw data"; "7.18562874251497"; "6.0" . a ; "Results are divided in QM calculations+force field comparison and improvements, and force field parameter validations."; "37.755102040816325"; "14.8" . a ; "choline"; "8.502994011976048"; "7.1" . a ; "directory"; "8.74251497005988"; "7.3" . a ; "# Results files are organised based on QM calculations and force field comparisons (also improvements), and Parameters validations where you have the test cases."; "34.183673469387756"; "13.4" . a ; "QM calculation"; "12.76595744680851"; "7.8" . a ; "chemistry and materials"; "100.0"; "0.38146594166755676" . a ; "validation"; "10.955710955710956"; "4.7" . a ; "results file"; "13.58428805237316"; "8.3" . a ; "file"; "13.51981351981352"; "5.8" . a ; "Newspaper"; "Arts, culture and entertainment/Mass media/Newspaper" . a ; "file"; "9.461077844311378"; "7.9" . a ; "computer science"; "18.627450980392158"; "1.9" . a ; "Results for Tyrosine-choline, Phenylalanine-choline and Tryptophan-choline force field improvements."; "28.061224489795915"; "11.0" . a ; "service-account-enrichment" . a , , , , ; , , ; ; 7833; "https://api.rohub.org/api/ros/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/crate/download/"; ; "2022-03-22 02:19:17.388294+00:00"; "2025-03-05 01:19:14.776191+00:00"; "2022-03-22 02:19:17.388294+00:00"; """This dataset contains molecular dynamic simulation data of Loxosceles phospholipase D enzymes, of both clades, in presence of different bilayer compositions. The enzymes simulated are Li_alphaIA1, St_beta1B1, Ll_alphaIII and R44Y/S60Y St_beta1B1. The bilayers are used are a pure POPC, PC:SM:CHOL (70:20:10) and POPC:POPE (50:50) bilayer. The trajectories are in DCD format and the topology file in PSF format.The following simulations are available: 1. Li_alphaIA1 on a pure POPC bilayer; 2. Li_alphaIA1 on a PC:SM:CHOL (70:20:10) bilayer; 3. Li_alphaIA1 on a POPC:POPE (50:50) bilayer; 4. Ll_alphaIII on a pure POPC bilayer; 5. Ll_alphaIII on a PC:SM:CHOL (70:20:10) bilayer; 6. R44Y/S60Y St_beta1B1 on a pure POPC bilayer; 7. St_beta1B1 on a pure POPC bilayer; 8. St_beta1B1 on a PC:SM:CHOL (70:20:10) bilayer; 9. St_beta1B1 on a POPC:POPE (50:50) bilayer;"""; "application/ld+json"; , , , ; "https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9"; ; "Specificity of Loxosceles alpha clade phospholipase D enzymes for choline-containing lipids: role of a conserved aromatic cage"; "MANUAL"; "bilayer", "choline", "clade", "dataset", "enzyme", "information", "lipid", "phospholipase", "simulation"; "earth sciences"; "Hardware", "IT-computer sciences", "Pope", "Religious leader"; "POPC", "S60Y St_beta1B1", "bilayer", "clade", "enzyme", "lipid", "phospholipase"; "chemistry and materials"; "Loxosceles phospholipase d enzyme", "POPC bilayer", "bilayer composition", "choline-containing lipid", "pure POPC"; "Specificity of Loxosceles alpha clade phospholipase D enzymes for choline-containing lipids: role of a conserved aromatic cage.", "The bilayers are used are a pure POPC, PC:SM:CHOL (70:20:10) and POPC:POPE (50:50) bilayer.", "This dataset contains molecular dynamic simulation data of Loxosceles phospholipase D enzymes, of both clades, in presence of different bilayer compositions."; "biochemistry"; "Emmanuel Moutoussamy. \"Specificity of Loxosceles alpha clade phospholipase D enzymes for choline-containing lipids: role of a conserved aromatic cage.\" ROHub. Mar 22 ,2022. https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9." . a , ; "metadata" . a , ; "biblio" . a , ; ; "data" . a , ; "raw data" . a , , ; dct:bibliographicCitation "Moutoussamy, E. (2021).Specificity of Loxosceles alpha clade phospholipase D enzymes for choline-containing lipids: role of a conserved aromatic cage [Data set]. Norstore. https://doi.org/10.11582/2021.00099"; dct:rightsHolder "Nathalie Reuter"; dct:type "Simulation"; ; "https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00099"; ; "2021-11-19 00:00:00"; "2022-03-22 02:19:33.483910+00:00"; """This dataset contains molecular dynamic simulation data of Loxosceles phospholipase D enzymes, of both clades, in presence of different bilayer compositions. The enzymes simulated are Li_alphaIA1, St_beta1B1, Ll_alphaIII and R44Y/S60Y St_beta1B1. The bilayers are used are a pure POPC, PC:SM:CHOL (70:20:10) and POPC:POPE (50:50) bilayer. The trajectories are in DCD format and the topology file in PSF format.The following simulations are available: 1. Li_alphaIA1 on a pure POPC bilayer; 2. Li_alphaIA1 on a PC:SM:CHOL (70:20:10) bilayer; 3. Li_alphaIA1 on a POPC:POPE (50:50) bilayer; 4. Ll_alphaIII on a pure POPC bilayer; 5. Ll_alphaIII on a PC:SM:CHOL (70:20:10) bilayer; 6. R44Y/S60Y St_beta1B1 on a pure POPC bilayer; 7. St_beta1B1 on a pure POPC bilayer; 8. St_beta1B1 on a PC:SM:CHOL (70:20:10) bilayer; 9. 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Title: Quantitative back calculation of three debris flows in western Norway Dataset includes: GNSS measurements of three debris flows on the west coast of Norway. Logged perimeter with 15 m increments and several profiles across the flow paths. Grain size distribution, angle of repose for several soil samples at each study site. Including samples of slide deposits and Origin material. RAMMS simulations of the three events with varying input parameters. Each data type has a documentation file explaining the workflow of each data set. Event dates: Stamnes: 16th of February 2020 Jordalen: 5th of August 2019 Osdalsvatenet: 21st of January 2020"""; "application/ld+json"; , , , ; "https://w3id.org/ro-id/fc0d05e2-f5b4-4b47-b520-ea9d05d9f707"; ; "Debris flow field observations and RAMMS back calculations"; "MANUAL"; "Marius Julian Grønli. \"Debris flow field observations and RAMMS back calculations.\" ROHub. 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M., Sporre, M. K., and Berntsen, T. K.: Reduced effective radiative forcing from cloud-aerosol interactions (ERFaci) with improved treatment of early aerosol growth in an Earth System Model, Atmos. Chem. Phys., LINK: http://doi.org/10.5194/acp-2021-151, accepted, 2021. See LINK: http://github.com/sarambl/OAS-ERF for analysis code."""; "application/ld+json"; , , , ; "https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c"; ; "Model output for \"Reduced effective radiative forcing from cloud-aerosol interactions (ERFaci) with improved treatment of early aerosol growth in an Earth System Model\""; "MANUAL"; "aerosol", "cloud", "interaction", "output", "radiative forcing", "therapy", "tumor"; "earth sciences"; "Therapy"; "T. K. Reduced", "aerosol", "cloud", "growth", "interaction", "radiative forcing", "treatment"; "mathematical and computer sciences"; "Chem. Phys", "aerosol growth", "cloud-aerosol interaction", "improved treatment", "model output"; "Blichner, S. M. Sporre, M. 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Mar 22 ,2022. https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c." . a , ; "raw data" . a , ; "metadata" . a , ; ; "data" . a , ; ; "biblio" . a dct:BibliographicResource, , ; ; "https://acp.copernicus.org/preprints/acp-2021-151/"; ; "2022-03-22 02:22:07.384799+00:00"; "2022-03-22 02:22:07.648299+00:00"; ; "https://acp.copernicus.org/preprints/acp-2021-151/"; "2022-03-22 02:22:07.384799+00:00" . a , , ; dct:bibliographicCitation "Blichner, S., University of Oslo (2021).Model output for \"Reduced effective radiative forcing from cloud-aerosol interactions (ERFaci) with improved treatment of early aerosol growth in an Earth System Model\" [Data set]. 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"Palma, Raul. \"How to create a Research Object using adamapi and rohub api - 28.06.22a.\" ROHub. 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Sentinel-5P: SO2 total column (OFFL) - time range: 2022-06-26T19:57:45Z/2018-11-28T12:46:38Z - min/max Value: -10/60 - DataType: Float32 - Resolution: 0 -"; "47.28132387706856"; "100.0" . a ; "sampleor specimen data"; "1.8299246501614639"; "3.4" . a ; "environmental science and management"; "22.02377407201785"; "0.6964845061302185" . a ; "Wherewas user data is concerned with data collected by the RELIANCE services such as ROhub services which collects user data."; "1.8439716312056738"; "3.9" . a ; "Jeden system do wszystkich zastosowa Niezale nie od tego czy budujesz nowy dom, modernizujesz stary, czy tylko wymieniasz tradycyjn instalacj grzewcz nasza nowa wielofunkcyjna pompa ciep a Logatherm WLW i AR / WLW i IR nadaje si do dom w jednorodzinnych i niewielkich budynk w wielorodzinnych, a tak e budowy nowych i rozbudowy istniej cych system w grzewczych."; "10.260047281323876"; "21.7" . a ; "Kangar"; . a ; "Securities"; "Economy, business and finance/Market and exchange/Securities" . a ; "Raul Palma" . a , , , , ; "service-account-enrichment", "service-account-enrichment", "service-account-enrichment", "service-account-enrichment", "service-account-enrichment" . a , , , , ; "", "", "", "", ""; "Applied sciences", "Applied sciences", "Applied sciences", "Applied sciences", "Applied sciences" . a , , , , ; ; ; 5429; "https://api.rohub.org/api/ros/1be0f190-6a64-4696-89ba-3509748d84fa/crate/download/"; ; "2022-07-18 13:07:15.313202+00:00"; "2025-10-18 11:31:44.980651+00:00"; "2022-07-18 13:07:15.313202+00:00"; "The goal is to generate automatically a RO from a DMP using RDA DMP Common Standard for Machine-actionable DMP."; "application/ld+json"; , , , ; "https://w3id.org/ro-id/1be0f190-6a64-4696-89ba-3509748d84fa"; ; "Data Management Plan using RDA DMP Common Standard for Machine-actionable DMP"; "MANUAL"; , , , , , , , , , , , , , , , , , , , , , , , ; "Anne Foilloux. \"Data Management Plan using RDA DMP Common Standard for Machine-actionable DMP.\" ROHub. Jul 18 ,2022. https://w3id.org/ro-id/1be0f190-6a64-4696-89ba-3509748d84fa." . a , ; "data" . a , ; "raw data" . a , ; "biblio" . a , ; "metadata" . a . a . a ; dct:conformsTo ; . a ; "data management"; "22.174840085287848"; "10.4" . a ; "Machine-actionable DMP"; "25.154004106776178"; "24.5" . a ; "earth sciences"; "100.0"; "0.5071393251419067" . a ; "goal"; "20.25586353944563"; "9.5" . a ; "plan"; "9.814612868047982"; "9.0" . a ; "mathematical and computer sciences"; "100.0"; "0.8756278157234192" . a ; "DMP Common Standard"; "5.236139630390142"; "5.1" . a ; "standard"; "10.021321961620469"; "4.7" . a ; "Language"; "Arts, culture and entertainment/Culture/Language" . a ; "computer operations and hardware"; "100.0"; "0.8756278157234192" . a ; "Ro from a DMP"; "4.928131416837782"; "4.8" . a ; "Ro"; "26.865671641791046"; "12.6" . a ; "goal"; "10.032715376226825"; "9.2" . a ; "RDA DMP"; "28.644763860369608"; "27.9" . a ; "plan"; "20.68230277185501"; "9.7" . a ; "RDA"; "19.73827699018539"; "18.1" . a ; "data management plan"; "36.03696098562628"; "35.1" . a ; "geophysics"; "100.0"; "0.5071393251419067" . a ; "The goal is to generate automatically a RO from a DMP using RDA DMP Common Standard for Machine-actionable DMP."; "53.35335335335335"; "53.3" . a ; "Ro"; "14.394765539803707"; "13.2" . a ; "Data Management Plan using RDA DMP Common Standard for Machine-actionable DMP."; "46.646646646646644"; "46.6" . a ; "Machine"; "22.57360959651036"; "20.7" . a ; "data management"; "11.995637949836423"; "11.0" . a ; "Common Standard"; "11.450381679389313"; "10.5" . a ; "Anne Fouilloux" . a , , , , ; ; ; 2459; "https://api.rohub.org/api/ros/095cd4b8-7027-4b97-bf9d-511fc5351d6d/crate/download/"; ; "2022-07-22 08:45:34.245892+00:00"; "2025-10-18 11:24:46.077488+00:00"; "2022-07-22 08:45:34.245892+00:00"; "Data on beach litter"; "application/ld+json"; "https://w3id.org/ro-id/095cd4b8-7027-4b97-bf9d-511fc5351d6d"; ; "Marine litter"; "MANUAL"; , , , , , , , , , , , , ; "Bocci, Martina. \"Marine litter.\" ROHub. Jul 22 ,2022. https://w3id.org/ro-id/095cd4b8-7027-4b97-bf9d-511fc5351d6d." . a ; dct:conformsTo ; . a ; "life sciences (general)"; "100.0"; "0.7818937301635742" . a ; "marine litter"; "39.0992835209826"; "38.2" . a ; "Data on beach litter"; "61.56156156156156"; "61.5" . a ; "life sciences"; "100.0"; "0.7818937301635742" . a ; "information"; "51.42857142857143"; "30.6" . a ; "Marine litter."; "38.43843843843844"; "38.4" . a ; "litter"; "48.57142857142857"; "28.9" . a ; "data"; "31.934493346980553"; "31.2" . a ; "beach litter"; "6.506506506506506"; "6.5" . a ; "earth sciences"; "100.0"; "0.8758946061134338" . a ; "litter"; "28.96622313203685"; "28.3" . a ; "oceanography"; "100.0"; "0.8758946061134338" . a ; "data on beach litter"; "93.49349349349349"; "93.4" . a ; "Martina Bocci" . a ; ""; "Environmental research" . a ; ""; "Life sciences" . a ; "giorgio.castellan@bo.ismar.cnr.it"; "Giorgio Castellan"; "0000-0001-6084-1504" . a ; "federica.foglini@ismar.cnr.it"; "Federica Foglini"; "0000-0002-2736-0052" . a ; "POLYGON ((12.275848388671875 45.37080033235662, 12.275848388671875 45.52238536664779, 12.547760009765627 45.52238536664779, 12.547760009765627 45.37080033235662, 12.275848388671875 45.37080033235662))"; "12.275848388671875 45.37080033235662, 12.275848388671875 45.52238536664779, 12.547760009765627 45.52238536664779, 12.547760009765627 45.37080033235662, 12.275848388671875 45.37080033235662" . a ; ; "3ea7aee0-5ba2-4809-af66-347c88b9e95e"; "POLYGON ((12.275848388671875 45.37080033235662, 12.275848388671875 45.52238536664779, 12.547760009765627 45.52238536664779, 12.547760009765627 45.37080033235662, 12.275848388671875 45.37080033235662))" . a , , , ; , , ; , , , ; ; 33575282; "https://api.rohub.org/api/ros/b3dd84e2-9a82-4364-a030-7b8a4269744d/crate/download/"; , ; ; ; "2022-11-11 11:40:47.634012+00:00"; "2025-10-18 10:59:29.019769+00:00"; "2022-11-11 11:40:47.634012+00:00"; "The RO focuses on the monitoring of the stranded and floating marco-litter pollution in the World Heritage Site of the Venice lagoon. The data also consider the covid-19 lockdown period."; "application/ld+json"; , , , , , , , , , , ; "https://w3id.org/ro-id/b3dd84e2-9a82-4364-a030-7b8a4269744d"; "Marine Litter", "Pollution", "macro and microplastics contaminants"; ; "Marine Litter Pollution Monitoring in the WHS of Venice and its lagoon"; , ; ; "MANUAL"; , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ; ; "https://w3id.org/ro/terms/earth-science#DataCentricResearchObjectTemplate"; "Davide Poletto, paolo franceschetti, Manuel Scarpa, Teresa Cecchi, Federica Foglini, and Giorgio Castellan. \"Marine Litter Pollution Monitoring in the WHS of Venice and its lagoon.\" ROHub. 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Since there is a dearth in the literature regarding microplastic leachable compounds and overtourism-related pollutants, the project studied the Head Space-Solid Phase Micro Extraction-Gas Chromatography-Mass Spectrometry (HS-SPME-GC–MS) molecular fingerprint of volatile lagoon water pollutants, to gain insight into the extent of this phenomenon in August 2019. The chromatographic analyses enabled the identification of 40 analytes related to the presence of polymers in seawater, water traffic, and tourists habits. In Italy, on the 10th March 2020, the lockdown restrictions were enforced to control the spread of the SARS-CoV-2 infection; the ordinary urban water traffic around Venice came to a halt, and the ever-growing presence of tourists suddenly ceased. This situation provided a unique opportunity to analyze the environmental effects of restrictions on VOCs load in the Lagoon. 17 contaminants became not detectable after the lockdown period. The statistical analysis indicated that the amounts of many other contaminants significantly dropped. The presence of 9 analytes was not statistically influenced by the lockdown restrictions, probably because of their stronger persistence or continuous input in the environment from diverse sources. Results signify a sharp and encouraging pollution decrease at the molecular level, concomitant with the anthropogenic stress release."; "macro marine litter monitoring outputs"; ; "Analysis of volatile organic compounds in Venice lagoon water reveals COVID-19 lockdown impact on microplastics and mass tourism-related pollutants"; "2022-12-04 15:24:36.666143+00:00" . a ; "d.poletto@plasticfreevenice.org"; "Davide Poletto" . a ; "Davide Poletto" . a , ; "info@isdigroup.com"; "ISDI group" . a ; "ISDI Group"; "manuelscarpa75@gmail.com"; "Manuel Scarpa" . a ; "Venice lagoon plastic free"; "p.franceschetti@plasticfreevenice.org"; "paolo franceschetti" . a , ; "segreteria@plasticfreevenice.org"; "Venice Lagoon Plastic Free" . a ; "teresacecchi@tiscali.it"; "Teresa Cecchi" . a ; ""; "Social sciences" . a ; ""; "Cultural geography" . a ; ""; "Regional geography" . a ; "12.32638548128307"; "45.436044651757186"; "POINT (12.32638548128307 45.436044651757186)" . a ; ; "2ab100ec-a6e8-4aa6-86fd-08dcf3ecd66f"; "POINT (12.32638548128307 45.436044651757186)" . a , , , ; , , , ; , ; ; 170673; "https://api.rohub.org/api/ros/2f126bfc-d4fb-4d72-914f-bfd121b0cf35/crate/download/"; ; ; "2022-11-22 19:08:00.583184+00:00"; "2025-10-18 10:59:05.929705+00:00"; "2022-11-22 19:08:00.583184+00:00"; "This dataset represents the monthly level of tourism arrivals and overnight-stays in Venice city centre, Italy."; "application/ld+json"; , , , , ; "https://w3id.org/ro-id/2f126bfc-d4fb-4d72-914f-bfd121b0cf35"; "Overtourism", "Tourism Flows", "Tourism", "Venice"; ; "Dataset"; "Tourism Overnight-stays in Venice Pre and Post Covid19"; ; ; "MANUAL"; , , , , , , , , , , , , , , , , , , , , , , , , , , , , ; ; "https://w3id.org/ro/terms/earth-science#DataCentricResearchObjectTemplate"; "Bertocchi, Dario, and Lisa ZECCHIN. \"Tourism Overnight-stays in Venice Pre and Post Covid19.\" ROHub. 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The CSV zipped files are named with the following convention: ais_YYYYMMDD.zip where YYYY is the year (here 2020), MM the month (01 to 12) and DD the day (01 to 31 depending on the month). For instance, ais_20200101.zip contains one single CSV file called ais_20200101.csv that corresponds to the 1st January 2020. Follow the link to get the description of the content of the CSV file."; "AIS"; ; "AIS data prepared by Statsat AS for January 2020"; "2022-12-09 08:44:30.232146+00:00" . a , , ; ; "https://doi.org/10.5281/zenodo.7415523"; ; "2022-12-09 13:10:31.490480+00:00"; "2022-12-09 13:11:34.416361+00:00"; "There is one zip file and its name is the month (01 for January to 12 for December) ending with '.zip' and the zip file contains zipped Comma Separated Values (CSV) files; one per day. The CSV zipped files are named with the following convention: ais_YYYYMMDD.zip where YYYY is the year (here 2020), MM the month (01 to 12) and DD the day (01 to 31 depending on the month). For instance, ais_20200101.zip contains one single CSV file called ais_20200101.csv that corresponds to the 1st January 2020. Follow the link to get the description of the content of the CSV file."; ; "AIS data prepared by Statsat AS for February 2020"; "2022-12-09 13:10:31.490480+00:00" . a , , ; ; "https://doi.org/10.5281/zenodo.7415565"; ; "2022-12-09 13:13:01.537799+00:00"; "2022-12-09 13:13:15.608629+00:00"; "There is one zip file and its name is the month (01 for January to 12 for December) ending with '.zip' and the zip file contains zipped Comma Separated Values (CSV) files; one per day. The CSV zipped files are named with the following convention: ais_YYYYMMDD.zip where YYYY is the year (here 2020), MM the month (01 to 12) and DD the day (01 to 31 depending on the month). For instance, ais_20200101.zip contains one single CSV file called ais_20200101.csv that corresponds to the 1st January 2020. Follow the link to get the description of the content of the CSV file."; "AIS"; ; "AIS data prepared by Statsat AS for March 2020"; "2022-12-09 13:13:01.537799+00:00" . a , , ; ; "https://doi.org/10.5281/zenodo.7415613"; ; "2022-12-09 13:14:19.140292+00:00"; "2022-12-09 13:14:36.495847+00:00"; "There is one zip file and its name is the month (01 for January to 12 for December) ending with '.zip' and the zip file contains zipped Comma Separated Values (CSV) files; one per day. The CSV zipped files are named with the following convention: ais_YYYYMMDD.zip where YYYY is the year (here 2020), MM the month (01 to 12) and DD the day (01 to 31 depending on the month). For instance, ais_20200101.zip contains one single CSV file called ais_20200101.csv that corresponds to the 1st January 2020. Follow the link to get the description of the content of the CSV file."; ; "AIS data prepared by Statsat AS for April 2020"; "2022-12-09 13:14:19.140292+00:00" . a , , ; ; "https://doi.org/10.5281/zenodo.7415840"; ; "2022-12-09 13:15:45.986616+00:00"; "2022-12-09 13:16:04.964630+00:00"; "There is one zip file and its name is the month (01 for January to 12 for December) ending with '.zip' and the zip file contains zipped Comma Separated Values (CSV) files; one per day. The CSV zipped files are named with the following convention: ais_YYYYMMDD.zip where YYYY is the year (here 2020), MM the month (01 to 12) and DD the day (01 to 31 depending on the month). For instance, ais_20200101.zip contains one single CSV file called ais_20200101.csv that corresponds to the 1st January 2020. Follow the link to get the description of the content of the CSV file."; "AIS"; ; "AIS data prepared by Statsat AS for May 2020"; "2022-12-09 13:15:45.986616+00:00" . a , , ; ; "https://doi.org/10.5281/zenodo.7415948"; ; "2022-12-09 13:17:02.112594+00:00"; "2022-12-09 13:18:21.412111+00:00"; "There is one zip file and its name is the month (01 for January to 12 for December) ending with '.zip' and the zip file contains zipped Comma Separated Values (CSV) files; one per day. The CSV zipped files are named with the following convention: ais_YYYYMMDD.zip where YYYY is the year (here 2020), MM the month (01 to 12) and DD the day (01 to 31 depending on the month). For instance, ais_20200101.zip contains one single CSV file called ais_20200101.csv that corresponds to the 1st January 2020. Follow the link to get the description of the content of the CSV file."; ; "AIS data prepared by Statsat AS for June 2020"; "2022-12-09 13:17:02.112594+00:00" . a , , ; ; "https://doi.org/10.5281/zenodo.7416056"; ; "2022-12-09 13:18:04.670277+00:00"; "2022-12-09 13:35:38.264200+00:00"; "There is one zip file and its name is the month (01 for January to 12 for December) ending with '.zip' and the zip file contains zipped Comma Separated Values (CSV) files; one per day. The CSV zipped files are named with the following convention: ais_YYYYMMDD.zip where YYYY is the year (here 2020), MM the month (01 to 12) and DD the day (01 to 31 depending on the month). For instance, ais_20200101.zip contains one single CSV file called ais_20200101.csv that corresponds to the 1st January 2020. Follow the link to get the description of the content of the CSV file."; ; "AIS data prepared by Statsat AS for July 2020"; "2022-12-09 13:18:04.670277+00:00" . a , , ; ; "https://doi.org/10.5281/zenodo.7416092"; ; "2022-12-09 13:23:05.481849+00:00"; "2022-12-09 13:35:18.583323+00:00"; "There is one zip file and its name is the month (01 for January to 12 for December) ending with '.zip' and the zip file contains zipped Comma Separated Values (CSV) files; one per day. The CSV zipped files are named with the following convention: ais_YYYYMMDD.zip where YYYY is the year (here 2020), MM the month (01 to 12) and DD the day (01 to 31 depending on the month). For instance, ais_20200101.zip contains one single CSV file called ais_20200101.csv that corresponds to the 1st January 2020. Follow the link to get the description of the content of the CSV file."; "AIS"; ; "AIS data prepared by Statsat AS for August 2020"; "2022-12-09 13:23:05.481849+00:00" . a , , ; ; "https://doi.org/10.5281/zenodo.7416098"; ; "2022-12-09 13:37:13.532003+00:00"; "2022-12-09 13:37:53.422886+00:00"; "There is one zip file and its name is the month (01 for January to 12 for December) ending with '.zip' and the zip file contains zipped Comma Separated Values (CSV) files; one per day. The CSV zipped files are named with the following convention: ais_YYYYMMDD.zip where YYYY is the year (here 2020), MM the month (01 to 12) and DD the day (01 to 31 depending on the month). For instance, ais_20200101.zip contains one single CSV file called ais_20200101.csv that corresponds"; "AIS"; ; "AIS data prepared by Statsat AS for September 2020"; "2022-12-09 13:37:13.532003+00:00" . a , , ; ; "https://doi.org/10.5281/zenodo.7416100"; ; "2022-12-09 13:38:57.730553+00:00"; "2022-12-09 13:39:24.193261+00:00"; "There is one zip file and its name is the month (01 for January to 12 for December) ending with '.zip' and the zip file contains zipped Comma Separated Values (CSV) files; one per day. The CSV zipped files are named with the following convention: ais_YYYYMMDD.zip where YYYY is the year (here 2020), MM the month (01 to 12) and DD the day (01 to 31 depending on the month). For instance, ais_20200101.zip contains one single CSV file called ais_20200101.csv that corresponds to the 1st January 2020. Follow the link to get the description of the content of the CSV file."; ; "AIS data prepared by Statsat AS for October 2020"; "2022-12-09 13:38:57.730553+00:00" . a , , ; ; "https://doi.org/10.5281/zenodo.7416110"; ; "2022-12-09 13:40:39.906484+00:00"; "2022-12-09 13:41:20.070877+00:00"; "There is one zip file and its name is the month (01 for January to 12 for December) ending with '.zip' and the zip file contains zipped Comma Separated Values (CSV) files; one per day. The CSV zipped files are named with the following convention: ais_YYYYMMDD.zip where YYYY is the year (here 2020), MM the month (01 to 12) and DD the day (01 to 31 depending on the month). For instance, ais_20200101.zip contains one single CSV file called ais_20200101.csv that corresponds to the 1st January 2020. Follow the link to get the description of the content of the CSV file."; "AIS"; ; "AIS data prepared by Statsat AS for November 2020"; "2022-12-09 13:40:39.906484+00:00" . a , , ; ; "https://doi.org/10.5281/zenodo.7416118"; ; "2022-12-09 13:32:38.512157+00:00"; "2022-12-09 13:34:44.654847+00:00"; "There is one zip file and its name is the month (01 for January to 12 for December) ending with '.zip' and the zip file contains zipped Comma Separated Values (CSV) files; one per day. The CSV zipped files are named with the following convention: ais_YYYYMMDD.zip where YYYY is the year (here 2020), MM the month (01 to 12) and DD the day (01 to 31 depending on the month). For instance, ais_20200101.zip contains one single CSV file called ais_20200101.csv that corresponds to the 1st January 2020. Follow the link to get the description of the content of the CSV file."; "AIS"; ; "AIS data prepared by Statsat AS for December 2020"; "2022-12-09 13:32:38.512157+00:00" . a , , ; ; "https://doi.org/10.5281/zenodo.7418694"; ; "2022-12-09 14:38:54.357665+00:00"; "2022-12-09 14:42:12.930004+00:00"; """AIS raw data (ASCII) provided by Statsat AS in the context of the T-SAR project (IKTPLUSS programme on reducing digital vulnerabilities, 10 MNOK from the Research Council of Norway, Norway). The file contains AIS messages. The documentation is also provided in this archive. The file is a NMEA text file. This file has not been used for training the deep learning method (T-SAR project). Decoded, it may not correspond exactly to what is in the data folder."""; "AIS"; ; "AIS raw data covering 2020 (nmea format)"; "2022-12-09 14:38:54.357665+00:00" . a , , ; ; "https://drive.google.com/drive/folders/1gtlJ8WmYpC-O7b0YBQKWzMUTRFRuJy5S?usp=sharing"; ; "2023-01-03 08:12:48.873333+00:00"; "2023-01-03 08:12:53.807507+00:00"; "Link to google drive folder containing input data (csv format) used for detection of anomalies with AIS satellite data."; "datasets"; ; "Statsat-zip (private google drive)"; "2023-01-03 08:12:48.873333+00:00" . a , ; "Simula Research Laboratory", "Simula Research Laboratory"; "annef@simula.no", "annef@simula.no"; "Anne Fouilloux", "Anne Fouilloux"; "0000-0002-1784-2920", "0000-0002-1784-2920" . a , , , ; "post@simula.no", "post@simula.no"; "00vn06n10", "00vn06n10"; "Simula Research Laboratory", "Simula Research Laboratory" . a , ; "The main objective of Simula is to create knowledge about fundamental scientific challenges that are of genuine value for society.", "The main objective of Simula is to create knowledge about fundamental scientific challenges that are of genuine value for society."; "post@simula.no", "post@simula.no"; "Simula", "Simula"; "https://www.simula.no", "https://www.simula.no" . a ; ; "56900f0c-4f7e-4321-918e-221d655b73c8"; "POLYGON ((-170.62501430511477 -80.79816944840414, -170.62501430511477 85.15119983948293, 192.89061069488528 85.15119983948293, 192.89061069488528 -80.79816944840414, -170.62501430511477 -80.79816944840414))" . a ; "POLYGON ((-170.62501430511477 -80.79816944840414, -170.62501430511477 85.15119983948293, 192.89061069488528 85.15119983948293, 192.89061069488528 -80.79816944840414, -170.62501430511477 -80.79816944840414))"; "-170.62501430511477 -80.79816944840414, -170.62501430511477 85.15119983948293, 192.89061069488528 85.15119983948293, 192.89061069488528 -80.79816944840414, -170.62501430511477 -80.79816944840414" . a , , , ; , ; , ; ; 507021; "https://api.rohub.org/api/ros/d5d3a3ed-7bc1-40b9-b2cd-0496f599d0fe/crate/download/"; ; ; ; "2022-12-09 08:34:30.338885+00:00"; "2025-10-18 10:48:39.155333+00:00"; "2022-12-09 08:34:30.338885+00:00"; """AIS data prepared and provided by Statsat AS (Norway) in the framework of the T-SAR project (IKTPLUSS programme on reducing digital vulnerabilities, 10 MNOK from the Research Council of Norway, Norway). The dataset contains AIS data (satellite + other) on a global coverage for 2020. There is one zip file and its name is the month (01 for January to 12 for December)  ending with '.zip' and the zip file contains zipped Comma Separated Values (CSV) files; one per day. The CSV zipped files are named with the following convention: ais_YYYYMMDD.zip where YYYY is the year (here 2020), MM the month (01 to 12) and DD the day (01 to 31 depending on the month). For instance, ais_20200101.zip contains one single CSV file called ais_20200101.csv that corresponds to the 1st January 2020. The csv files have one header line: mmsi;lon;lat;date_time_utc;sog;cog;true_heading;nav_status;rot;message_nr;source where: mmsi (integer): MMSI number of the vessel (AIS identifier). All records belonging to the same vessel will have the same identifier; lon (float): Geographical longitude (WGS84) between -180 to 180; lat (float): Geographical latitude (WGS84) between -90 to 90; date_time_utc (datetime): Date and Time (in UTC) when position was recorded by AIS. It is represented as: YYYY-MM-DD HH:MM:SS (for instance 2020-01-01 00:00:00); sog (float): Speed over ground (knots); cog (float): Course over ground (degrees); true_heading (integer): Heading (degrees) of the vessel's hull. A value of 511 indicates there is no heading data; nav_status (integer): Navigation status according to AIS Specification; rot (integer): rate of turn; message_nr (integer): message number; source (integer): source is the source of AIS data ('g' for ground or 's' for satellite); One row in the CSV file corresponds to one message."""; "application/ld+json"; , , , , ; "https://w3id.org/ro-id/d5d3a3ed-7bc1-40b9-b2cd-0496f599d0fe"; "AIS", "NorSat", "Vessel", "ship", "surveillance"; ; "Dataset"; "AIS 2020 data prepared for the T-SAR project by Statsat AS"; ; ; "MANUAL"; , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ; ; "https://w3id.org/ro/terms/earth-science#DataCentricResearchObjectTemplate"; "Pierre Bernabé, Anne Fouilloux, and Dusica Marijan. \"AIS 2020 data prepared for the T-SAR project by Statsat AS.\" ROHub. Dec 09 ,2022. https://w3id.org/ro-id/d5d3a3ed-7bc1-40b9-b2cd-0496f599d0fe." . a , ; "POLYGON ((-170.62501430511477 -80.79816944840414, -170.62501430511477 85.15119983948293, 192.89061069488528 85.15119983948293, 192.89061069488528 -80.79816944840414, -170.62501430511477 -80.79816944840414))" . a , ; ; "raw data" . a , ; , ; "metadata" . a , ; ; "biblio" . a , ; , , , , , , , , , , , ; "data" . a , ; ; 452439; "https://api.rohub.org/api/resources/211a9b8f-569a-452b-a2e5-a4c23c784a45/download/"; ; "2023-01-17 14:37:47.220088+00:00"; "2023-01-17 14:37:48.377642+00:00"; "image/png"; ; "AIS-satellite-surveillance.png"; "2023-01-17 14:37:47.220088+00:00" . a , , ; ; 1984; "https://api.rohub.org/api/resources/32057316-113a-48de-bede-927c605d3e58/download/"; ; "2022-12-12 08:42:15.989000+00:00"; "2022-12-12 08:42:20.938998+00:00"; "This document explains where to find input data on Simula's computing resources (EX3)"; "text/plain"; "EX3"; ; "Input data information for usage at Simula Research Laboratory (EX3)"; "2022-12-12 08:42:15.989000+00:00" . a . a . a . a . a . a . a ; dct:conformsTo ; . a ; "Jan-1-2020 00:00:00" . a ; "student"; "7.154605263157894"; "8.7" . a ; "file"; "13.487584650112865"; "23.900000000000002" . a ; "geosciences"; "100.0"; "0.6201595067977905" . a ; "32 Oct-24 17:41" . a ; "AIS"; "10.608552631578949"; "12.9" . a ; "Oct-31-1924 17:56" . a ; "computer science"; "87.53246753246755"; "33.7" . a ; "Students"; "Education/Teaching and learning/Students" . a ; "The dataset contains AIS data (satellite + other) on a global coverage for 2020."; "13.86748844375963"; "18.0" . a ; "Oct-31-1924 17:55" . a ; "zip file"; "4.853273137697516"; "8.6" . a ; "INT"; "2.4830699774266365"; "4.4" . a ; "difficulty"; "2.878103837471783"; "5.1" . a ; "heading data"; "5.279698302954117"; "8.4" . a ; "Oct-24 17:44" . a ; "raw data"; "10.197368421052632"; "12.4" . a ; "dataset"; "5.427631578947369"; "6.6" . a ; "information"; "2.765237020316027"; "4.9" . a ; "PhD student"; "27.718416090509116"; "44.1" . a ; ".zip"; "6.167763157894737"; "7.5" . a ; "Oct-31-1924 17:51" . a ; "month"; "2.0316027088036117"; "3.6" . a ; "32 Oct-24 17:48" . a ; "data"; "16.139954853273135"; "28.6" . a ; "Oct-24 17:56" . a ; "New set of data was provided (zipped csv)"; "9.861325115562403"; "12.8" . a ; "32 Oct-24 17:45" . a ; "32 Oct-24 17:58" . a ; "Oct-24 17:52" . a ; "earth resources and remote sensing"; "100.0"; "0.6201595067977905" . a ; "set of data"; "7.479572595851666"; "11.9" . a ; "data"; "21.957236842105264"; "26.7" . a ; "comma separated values"; "6.743421052631579"; "8.2" . a ; "geology"; "55.360552794702386"; "0.7127519845962524" . a ; "the Jan-1-2020" . a ; "Oct-24 17:49" . a ; "comma separated values"; "5.417607223476297"; "9.6" . a ; "raw data"; "6.772009029345372"; "12.0" . a ; "Oct-24 17:54" . a ; "There is one zip file and its name is the month (01 for January to 12 for December)  ending with '.zip' and the zip file contains zipped Comma Separated Values (CSV) files; one per day."; "9.09090909090909"; "11.8" . a ; "software"; "12.467532467532468"; "4.8" . a ; "Geography"; "Science and technology/Social sciences/Geography" . a ; "Norway"; "2.765237020316027"; "4.9" . a ; "Oct-24 17:43" . a ; "Oct-30-24 17:46" . a ; "original raw data"; "3.016970458830924"; "4.8" . a ; "earth sciences"; "44.639447205297614"; "0.5747206807136536" . a ; "folder"; "2.9345372460496613"; "5.2" . a ; "file"; "14.226973684210527"; "17.3" . a ; "Oct-24 17:42" . a ; "student"; "5.079006772009029"; "9.0" . a ; "32 Oct-24 17:49" . a ; "atmospheric sciences"; "44.639447205297614"; "0.5747206807136536" . a ; "PhD"; "7.8125"; "9.5" . a ; """Data used by the PhD student was provided to me as zipped csv files: - one folder per month - in each folder, one file per day - file is zipped csv"""; "17.103235747303543"; "22.2" . a ; "csv file"; "12.69641734758014"; "20.2" . a ; "AIS identifier"; "7.416719044626022"; "11.8" . a ; "Doctor of Philosophy"; "5.079006772009029"; "9.0" . a ; "32 Oct-24 17:53" . a ; "earth sciences"; "55.360552794702386"; "0.7127519845962524" . a ; "Oct-24 17:47" . a ; "year of data"; "3.3312382149591455"; "5.3" . a ; "ID number"; "2.821670428893905"; "5.0" . a ; "AIS data"; "17.15901948460088"; "27.3" . a ; "2020" . a ; "dataset"; "4.514672686230248"; "8.0" . a ; "T-SAR"; "3.536184210526316"; "4.3" . a ; "AIS 2020 data prepared for the T-SAR project by Statsat AS. AIS data prepared and provided by Statsat AS (Norway) in the framework of the T-SAR project (IKTPLUSS programme on reducing digital vulnerabilities, 10 MNOK from the Research Council of Norway, Norway)"; "16.101694915254235"; "20.9" . a ; "zipped comma separated values"; "9.490886235072281"; "15.1" . a ; "identifier"; "1.8623024830699773"; "3.3" . a ; "Oct-24 17:57" . a ; "zip format"; "3.7810383747178324"; "6.7" . a ; "Schutzstaffel"; . a ; "Oct-24 17:58" . a ; "CSV file"; "6.411062225015713"; "10.2" . a ; "artificial immune system"; "8.521444695259593"; "15.1" . a ; "Norway"; . a ; ".zip"; "3.9503386004514667"; "7.0" . a ; "Oct-31-1924 17:50" . a ; "zip file"; "6.167763157894737"; "7.5" . a ; "The original raw data was not used (no code provided to read) because PhD student had too much difficulties with raw data."; "33.97534668721109"; "44.1" . a , , ; ; "https://www.nmea.org"; ; "2022-12-09 14:28:47.664937+00:00"; "2023-03-18 16:44:36.652468+00:00"; "The National Marine Electronics Association, is a worldwide, member based trade organization revolving around marine electronics interface standards, marine electronics installer training, and its annual marine electronics conference & expo. The NMEA and its members are committed to enhancing the technology and safety of marine electronics through installer training and interface standards. NMEA members promote professionalism within the marine electronics industry. NMEA installer trainings and certifications are recognized by many major electronics manufacturers for installation, support and warranty."; "AIS"; ; "National Marine Electronics Association website"; "2022-12-09 14:28:47.664937+00:00" . a ; "Anne Fouilloux" . a ; "Simula Research Laboratory"; "dusica@simula.no"; "Dusica Marijan" . a ; "Simula Research Laboratory"; "pierbernabe@simula.no"; "Pierre Bernabé" . a , ; "service-account-enrichment", "service-account-enrichment" . a , ; "", ""; "Applied sciences", "Applied sciences" . a , , ; ; "https://doi.org/10.5061/dryad.5qg30sd"; ; "2023-03-18 15:48:46.831143+00:00"; "2025-10-14 08:32:33.717964+00:00"; "Estimating impacts of offshore windfarm construction on marine mammals requires data on displacement in relation to different noise levels and sources. Using echolocation detectors and noise recorders, we investigated harbour porpoise behavioural responses to piling noise during the 10-month foundation installation of a North Sea windfarm. Current UK guidance assumes total displacement within 26 km of pile driving. In contrast, we recorded a 50 % probability of response within 7.4 km (95 % CI = 5.7 – 9.4) at the first location piled, decreasing to 1.3 km (95 % CI = 0.2 – 2.8) by the final location; representing 28 % (95 % CI = 21 – 35) and 18 % (95 % CI = 13 – 23) displacement of individuals within 26 km. Distance proved as good a predictor of responses as audiogram weighted received levels, presenting a more practicable variable for environmental assessments. Critically, acoustic deterrent device (ADD) use and vessel activity increased response levels. Policy and management to minimise impacts of renewables on cetaceans have concentrated on pile-driving noise. Our results highlight the need to consider trade-offs between efforts to reduce far-field behavioural disturbance and near-field injury through ADD use."; ; "Data from: Harbour porpoise responses to pile-driving diminish over time"; "2023-03-18 15:48:46.831143+00:00" . a , , ; ; "https://doi.org/10.5281/zenodo.3754481"; ; "2023-03-18 15:45:43.141299+00:00"; "2023-03-18 15:46:52.776393+00:00"; """The schema of the dataset is provided below: · t: the time at which the message was received (UTC) · shipid: the anonymized id of the ship · lon: the longitude of the current ship position · lat: the latitude of the current ship position · heading: (see: https://en.wikipedia.org/wiki/Course_(navigation)) · course: the direction in which the ship moves (see: https://en.wikipedia.org/wiki/Course_(navigation)) · speed: the speed of the ship (measured in knots) · shiptype: AIS reported ship-type · destination: AIS reported destination"""; ; "Single Ground Based AIS Receiver Vessel Tracking Dataset"; "2023-03-18 15:45:43.141299+00:00" . a , , ; ; "https://doi.org/10.5281/zenodo.5718284"; ; "2023-03-18 15:41:41.912053+00:00"; "2023-03-18 15:43:25.836869+00:00"; "Environmental and AIS data collected during the second phase of EUMR TNA experiments using the CMRE LOON testbed. Environmental data consists of temperature measured across the water column; sound velocity measured close to the surface and close to the sea bottom; meteorological data at the surface (i.e., pressure, temperature, wind speed and direction, humidity and rain). The environmental dataset is complemented with Automatic Identification System (AIS) data for the ships transiting close to the LOON area (Gulf of La Spezia, Italy)."; ; "Environmental and AIS data collected during the EUMarineRobots Trans-National Access activities experiments using the NATO STO-CMRE Littoral Ocean Observatory Network testbed (Release 2)"; "2023-03-18 15:41:41.912053+00:00" . a , , ; ; "https://doi.org/10.5281/zenodo.6323416"; ; "2023-03-18 15:53:28.368823+00:00"; "2023-03-18 15:54:45.934342+00:00"; "The advent of Big Data and streaming technologies has resulted in a swarm of voluminous, heterogeneous information, especially in the domains of Internet of Things (IoT) and transportation. Focusing on the maritime field, we present a dataset that contains vessel position information transmitted by vessels of different types and collected via the Automatic Identification System (AIS). The AIS dataset comes along with spatially and temporally correlated data about the vessels and the area of interest, including weather information. It covers a time span of over 2.5 years, from May 9th, 2017 to December 26th, 2019 and provides anonymised vessel positions within the wider area of the port of Piraeus (Greece), one of the busiest ports in Europe and worldwide. The dataset consists of over 244 million AIS records, an average of more than 10,000 records per hour, which makes it an ideal input for large-scale mobility data processing and analytics purposes."; ; "The Piraeus AIS Dataset for Large-scale Maritime Data Analytics"; "2023-03-18 15:53:28.368823+00:00" . a , , ; ; "https://doi.org/10.5281/zenodo.6402160"; ; "2023-03-18 15:50:58.144079+00:00"; "2023-03-18 15:52:08.005277+00:00"; "With an ever-increasing number of vessels at sea, the modelling, analysis and visualisation of maritime traffic are of paramount importance to support the monitoring tasks of maritime stakeholders. Sensors have been developed in this respect to track vessels and capture the maritime traffic at the global scale. The Automatic Identification System (AIS) is transmitting maritime positional and nominative information at highest frequency rate, making it a valuable source for maritime traffic modelling. From an original AIS dataset covering the area of Brest, France, we extracted a set of 17 maritime routes, connecting ports in this area. Two different representations for the routes are provided: (1) clusters of AIS contacts, and (2) route prototypes, representing the nominal trajectory of the vessels following the route. Additionally, a set of tracklets (built by five consecutive AIS contacts from the same vessel trajectory) has been extracted from the set of routes and the original dataset, and labelled either with the route name to which they belong or as off-route tracklets. This dataset provides thus some ground truth on the routes followed by vessels and is aimed at testing and validating vessel-to-route or track-to-route association algorithms."; ; "Maritime routes and vessel tracklet dataset for vessel-to-route association"; "2023-03-18 15:50:58.144079+00:00" . a , , ; ; "https://en.wikipedia.org/wiki/Automatic_identification_system"; ; "2023-03-18 15:36:32.417130+00:00"; "2023-03-18 15:36:33.751392+00:00"; "Definition of Automatic Identification System (AIS) given by Wikipedia."; ; "Automatic Identification System (AIS) wikipedia"; "2023-03-18 15:36:32.417130+00:00" . a , , ; ; "https://kartkatalog.geonorge.no/metadata/automatisk-identifikasjonssystem-ais-shipsposisjoner-nedlasting-12nm-fra-grunnlinja/7997fd76-83f9-4e94-bfe7-f4677a6cd787"; ; "2023-03-18 16:04:04.650396+00:00"; "2023-03-18 19:40:25.709890+00:00"; """Automatic Identification System (AIS) - Ships positions - download - 12nm from baseline Data set from the Norwegian Coastal Administration Data can be downloaded directly from https://ais-public.kystverket.no/ais-download/ (free registration)."""; ; "Automatic Identification System (AIS) - Ships positions - download - 12nm from baseline"; "2023-03-18 16:04:04.650396+00:00" . a ; "Simula Research Laboratory"; "dokken@simula.no"; "Jørgen Schartum Dokken"; "0000-0001-6489-8858" . a ; "Simula Research Laboratory"; "roehr@simula.no"; "Thomas Roehr"; "0000-0002-7715-7052" . a , , , ; ; ; 22052; "https://api.rohub.org/api/ros/0b1fcfe6-ab98-4df7-be19-e952de9776c6/crate/download/"; , ; ; ; "2023-01-19 20:52:56.511892+00:00"; "2025-10-18 10:06:05.462344+00:00"; "2023-01-19 20:52:56.511892+00:00"; "This Research Object gathers information about publicly available AIS datasets."; "application/ld+json"; , ; "https://w3id.org/ro-id/0b1fcfe6-ab98-4df7-be19-e952de9776c6"; "Vessel", "ais", "surveillance"; ; "AIS public datasets"; ; ; "MANUAL"; , , , , , , , , , , , , , , , , , , ; "https://w3id.org/ro/terms/earth-science#DataCentricResearchObjectTemplate"; "Fouilloux, Anne, Jørgen Schartum Dokken, and Thomas Roehr. \"AIS public datasets.\" ROHub. Jan 19 ,2023. https://w3id.org/ro-id/0b1fcfe6-ab98-4df7-be19-e952de9776c6." . a , ; ; "biblio" . a , ; , , , , , , ; "data" . a ; dct:conformsTo ; . a , , ; ; "https://w3id.org/ro-id/88fba8bd-f2f0-402e-8147-b73b71e8691a"; ; "2023-01-19 20:59:22.716386+00:00"; "2023-03-18 15:39:42.998669+00:00"; "This dataset contains ships' information collected though the Automatic Identification System, integrated with a set of complementary data having spatial and temporal dimensions aligned. The dataset contains four categories of data: Navigation data, vessel-oriented data, geographic data, and environmental data. It covers a time span of six months, from October 1st, 2015 to March 31st, 2016 and provides ships positions within Celtic sea, the Channel and Bay of Biscay (France). The dataset is proposed with predefined integration and querying principles for relational databases. These rely on the widespread and free relational database management system PostgreSQL, with the adjunction of the PostGIS extension, for the treatment of all spatial features proposed in the dataset."; "AIS"; ; "Heterogeneous Integrated Dataset for Maritime Intelligence, Surveillance, and Reconnaissance"; "2023-01-19 20:59:22.716386+00:00" . a ; "Research Object"; "17.203219315895375"; "17.1" . a ; "artificial immune system"; "40.745192307692314"; "33.9" . a ; "AIS dataset"; "59.118236472945895"; "59.0" . a ; "dataset"; "50.24038461538462"; "41.8" . a ; "information"; "7.444668008048289"; "7.4" . a ; "public dataset"; "5.410821643286574"; "5.4" . a ; "AIS public datasets."; "32.53253253253253"; "32.5" . a ; "dataset"; "42.354124748490946"; "42.1" . a ; "This Research Object gathers information about publicly available AIS datasets."; "67.46746746746747"; "67.4" . a ; "mathematical and computer sciences"; "100.0"; "0.4841751158237457" . a ; "Hardware"; "Economy, business and finance/Economic sector/Computing and information technology/Hardware" . a ; "information"; "9.014423076923078"; "7.5" . a ; "gather information"; "2.80561122244489"; "2.8" . a ; "AIS public dataset"; "27.45490981963928"; "27.4" . a ; "available AIS dataset"; "5.210420841683367"; "5.2" . a ; "other earth sciences"; "100.0"; "0.46449342370033264" . a ; "earth sciences"; "100.0"; "0.46449342370033264" . a ; "computer operations and hardware"; "100.0"; "0.4841751158237457" . a ; "AIS"; "32.99798792756538"; "32.8" . a , , ; ; "http://gismarcloud.myqnapcloud.com:8080/share.cgi?ssid=a52d73f5f2fb42b38e0064e936c1718a"; ; "2023-02-14 15:36:15.032982+00:00"; "2023-02-14 15:36:34.354936+00:00"; ; "Microplastic assesment"; "2023-02-14 15:36:15.032982+00:00" . a , , ; ; "http://libeccio.bo.ismar.cnr.it:8080/geonetwork/srv/ita/catalog.search#/search?resultType=manager&sortBy=relevance&any=Maelstrom&from=1&to=20"; ; "2023-02-13 14:36:17.112558+00:00"; "2023-02-13 14:36:45.015925+00:00"; ; "Description of microplastic metadata"; "2023-02-13 14:36:17.112558+00:00" . a . a ; ; "08fb9a65-3505-47ad-949f-f91e853689f1"; "POINT (12.53219609381631 45.43427794991445)" . a ; "12.53219609381631"; "45.43427794991445"; "POINT (12.53219609381631 45.43427794991445)" . a ; "12.309050560215837"; "45.425182522859224"; "POINT (12.309050560215837 45.425182522859224)" . a ; ; "e159320e-c127-413b-b768-1ae43db58920"; "POINT (12.309050560215837 45.425182522859224)" . a , , , ; dct:doi "10.24424/cyxa-2645"; "2024-02-14 14:15:15.142704+00:00"; ; ; ; "True"; ; , , , , , ; , ; 247986; "https://api.rohub.org/api/ros/9df7b289-2ac1-4c50-aa42-184df24dcafa/crate/download/"; ; "2023-02-10 14:40:56.036090+00:00"; "2025-10-18 10:05:01.209888+00:00"; "2023-02-10 14:40:56.036090+00:00"; "Marine litter, in particular plastics, is a significant and growing marine contaminant that has become a global problem. Macro-litter is subject to fragmentation and degradation due to physical, chemical and biological processes, leading to the formation of micro-litter, the so-called microplastics. The purpose of this research is to evaluate the concentrations of microplastics in different environmental matrices: water, sediment and biota (i.e. mussels and fish) and to contribute to the European project MAELSTROM (Smart technology for MArinE Litter SusTainable RemOval and Management). The aim is to monitor the presence of micro-litter at two sites of the Venice coastal area: an abandoned mussel farm at sea and a lagoon site near the artificial Island of Sacca Fisola; both sites are subject to strong anthropogenic pressure. The results showed that both study areas are characterised by the presence of microplastics in all the analysed matrices and in both sites. Generally, higher microplastics concentrations were found in the Lagoon site (i.e. in surface waters, mussels and fish). Moreover, some differences were also observed in shapes and colours comparing the two sites. These differences are related to the different types of macro-litter that characterised the two areas. The distribution of marine litter is therefore related to the main anthropogenic activities of the two areas such as fishery, aquaculture, tourism and waste management."; "application/ld+json"; , , ; "https://w3id.org/ro-id/9df7b289-2ac1-4c50-aa42-184df24dcafa"; "Adriatic sea", "Manta", "Microplastics", "Venice Lagoon"; ; "Research Object"; "MAELSTROM: 2022 February Microplastics assessment"; ; ; "MANUAL"; , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ; ; "Antonio Petrizzo"; "https://w3id.org/ro/terms/earth-science#DataCentricResearchObjectTemplate"; "Susanna Mesghez, ANTONIO PETRIZZO, Fantina Madricardo, Nicoletta Nesto, Tihana Marceta, and Vanessa Moschino. \"MAELSTROM: 2022 February Microplastics assessment.\" ROHub. Feb 10 ,2023. https://doi.org/10.24424/cyxa-2645." . a , ; "POINT (12.53219609381631 45.43427794991445)" . a , ; "POINT (12.309050560215837 45.425182522859224)" . a , ; , ; "data" . a , ; "biblio" . a , , ; ; 230113; "https://api.rohub.org/api/resources/a233cca6-fba9-46af-9ea7-571a5b3fbd1f/download/"; ; "2023-02-14 15:29:55.562368+00:00"; "2023-02-14 15:29:56.762339+00:00"; "image/png"; ; "Sketch RoHub.png"; "2023-02-14 15:29:55.562368+00:00" . a ; dct:conformsTo ; . a ; "The main interest is upon marine litter pollution and in particular ranging from marco to mirco and nano size. In encompasses data from citizen science monitoring and sampling activities in cooperation with research-educational institute and centers."; "segreteria@plasticfreevenice.org"; "Marine Litter and plastics pollution" . a ; "oceanography"; "100.0"; "0.9957613348960876" . a ; "marine litter"; "14.403292181069958"; "7.0" . a ; "mussel"; "6.628571428571429"; "5.8" . a ; "micro"; "5.257142857142856"; "4.6" . a ; "macro"; "9.485714285714288"; "8.3" . a ; "biological process"; "10.905349794238683"; "5.3" . a ; "macro"; "15.637860082304526"; "7.6" . a ; "Environmental pollution"; "Environment/Environmental pollution" . a ; "mussel"; "10.905349794238683"; "5.3" . a ; "Animal"; "Human interest/Animal" . a ; "Venice"; . a ; "Marine litter, in particular plastics, is a significant and growing marine contaminant that has become a global problem."; "40.031397174254316"; "25.5" . a ; "microprocessor"; "5.142857142857143"; "4.5" . a ; "biological process"; "6.742857142857143"; "5.9" . a ; "Aquaculture"; "Economy, business and finance/Economic sector/Agriculture/Aquaculture" . a ; "diversity"; "4.914285714285715"; "4.3" . a ; "earth sciences"; "100.0"; "0.9957613348960876" . a ; "aim"; "8.457142857142857"; "7.4" . a ; "car litter"; "9.485714285714288"; "8.3" . a ; "Generally, higher microplastics concentrations were found in the Lagoon site (i.e. in surface waters, mussels and fish). Moreover, some differences were also observed in shapes and colours comparing the two sites."; "24.33281004709576"; "15.5" . a ; "plastics concentration"; "37.753222836095766"; "20.5" . a ; "distribution"; "4.914285714285715"; "4.3" . a ; "types of macro-litter"; "15.101289134438304"; "8.2" . a ; "chemistry"; "40.67796610169491"; "2.4" . a ; "plastics"; "17.078189300411523"; "8.3" . a ; "lagoon site"; "20.626151012891345"; "11.2" . a ; "contaminant"; "9.82857142857143"; "8.6" . a ; "geophysics"; "100.0"; "0.9447683095932007" . a ; "litter"; "15.22633744855967"; "7.4" . a ; "project Maelstrom"; "12.707182320441989"; "6.9" . a ; "formation of micro-litter"; "13.812154696132598"; "7.5" . a ; "Macro-litter is subject to fragmentation and degradation due to physical, chemical and biological processes, leading to the formation of micro-litter, the so-called microplastics."; "35.63579277864992"; "22.7" . a ; "litter"; "7.428571428571429"; "6.5" . a ; "lagoon"; "6.4"; "5.6" . a ; "geosciences"; "100.0"; "0.9447683095932007" . a ; "hydrography"; "59.32203389830508"; "3.5" . a ; "Synthetic and plastic chemicals"; "Economy, business and finance/Economic sector/Chemicals/Synthetic and plastic chemicals" . a ; "Maelstrom"; "4.8"; "4.2" . a ; "plastics"; "10.514285714285712"; "9.2" . a ; "contaminant"; "15.843621399176953"; "7.7" . a ; "Università Ca' Foscari"; "956784@stud.unive.it"; "Susanna Mesghez" . a ; "antonio.petrizzo@cnr.it"; "ANTONIO PETRIZZO" . a ; "direttore@ismar.cnr.it"; "CNR-ISMAR" . a ; "CNR ISMAR"; "fantina.madricardo@ve.ismar.cnr.it"; "Fantina Madricardo" . a ; "CNR - ISMAR"; "nicoletta.nesto@ve.ismar.cnr.it"; "Nicoletta Nesto" . a , , ; "service-account-enrichment", "service-account-enrichment", "service-account-enrichment" . a ; "Taha Lahami" . a ; "tihana.marceta@ve.ismar.cnr.it"; "Tihana Marceta" . a ; "CNR ISMAR Venice"; "vanessa.moschino@ve.ismar.cnr.it"; "Vanessa Moschino" . a , ; "", ""; "Earth sciences", "Earth sciences" . a , , ; ; ; "https://reliance.adamplatform.eu/?dataset=69628:EU_CAMS_SURFACE_REC_G&feature=61ad007aeb51328b642656c9"; ; "2023-03-21 00:03:32.040501+00:00"; "2025-10-14 08:32:41.016422+00:00"; "CAMS"; ; "Data Cube Product 20211204150000"; "2023-03-21 00:03:32.040501+00:00"; ; "Online" . a , , ; ; ; "https://reliance.adamplatform.eu/?dataset=69628:EU_CAMS_SURFACE_REC_G&feature=61ad007aeb51328b642656dc"; ; "2023-03-21 00:02:04.233505+00:00"; "2023-06-27 16:26:31.450751+00:00"; ; "Data Cube Product 20211204160000"; "2023-03-21 00:02:04.233505+00:00"; ; "Online" . a , , ; dct:doi "10.24424/qma4-mr07"; ; ; "https://reliance.adamplatform.eu/?dataset=69628:EU_CAMS_SURFACE_REC_G"; ; "2023-03-20 23:59:16.741374+00:00"; "2023-06-27 16:26:31.369109+00:00"; "2021-12-04T23:00:00Z"; "CAMS"; ; "https://reliance.adamplatform.eu/?dataset=69628:EU_CAMS_SURFACE_REC_G"; "2023-03-20 23:59:16.741374+00:00"; "2021-06-08T00:00:00Z"; , , ; "Float32"; "mailto:govoni@meeo.it"; "[6.103110017363633e-09]"; "[0.0]" . a ; "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" . a ; ; "31dfa2dc-9257-4800-a66d-b2f497b8bbc8"; "POLYGON ((-25.000012 29.999997, 44.999988 29.999997, 44.999988 71.999997, -25.000012 71.999997, -25.000012 29.999997))" . a ; "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" . a ; ; "57af8e5d-c16f-4729-b576-30d19f9a6cb2"; "POLYGON ((-25.000012 29.999997, 44.999988 29.999997, 44.999988 71.999997, -25.000012 71.999997, -25.000012 29.999997))" . a ; ; "8c8e4259-6507-44b9-a7e4-3ef27cce74d7"; "POLYGON ((-25.000012 29.999997, 44.999988 29.999997, 44.999988 71.999997, -25.000012 71.999997, -25.000012 29.999997))" . a ; "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" . a , , , ; ; ; 665215; "https://api.rohub.org/api/ros/3939a208-64fc-4800-8b29-6a97676c7508/crate/download/"; ; "2023-03-20 23:50:28.686399+00:00"; "2025-12-17 10:08:45.551373+00:00"; "2023-03-20 23:50:28.686399+00:00"; "Data cube Research Object for CAMS European air quality forecasts"; "application/ld+json"; , , , , ; "https://w3id.org/ro-id/3939a208-64fc-4800-8b29-6a97676c7508"; "CAMS"; ; "CAMS European air quality forecasts"; "MANUAL"; , , , , , , , , , , , , , , , , , , , , ; "https://w3id.org/ro/terms/earth-science#DataCentricResearchObjectTemplate"; "Palma, Raul. \"CAMS European air quality forecasts.\" ROHub. Mar 20 ,2023. https://w3id.org/ro-id/3939a208-64fc-4800-8b29-6a97676c7508." . a , ; "POLYGON ((-25.000012 29.999997, 44.999988 29.999997, 44.999988 71.999997, -25.000012 71.999997, -25.000012 29.999997))" . a , ; "POLYGON ((-25.000012 29.999997, 44.999988 29.999997, 44.999988 71.999997, -25.000012 71.999997, -25.000012 29.999997))" . a , ; "POLYGON ((-25.000012 29.999997, 44.999988 29.999997, 44.999988 71.999997, -25.000012 71.999997, -25.000012 29.999997))" . a , ; "POLYGON ((-25.000012 29.999997, 44.999988 29.999997, 44.999988 71.999997, -25.000012 71.999997, -25.000012 29.999997))" . a , ; "POLYGON ((-25.000012 29.999997, 44.999988 29.999997, 44.999988 71.999997, -25.000012 71.999997, -25.000012 29.999997))" . a , ; "POLYGON ((-25.000012 29.999997, 44.999988 29.999997, 44.999988 71.999997, -25.000012 71.999997, -25.000012 29.999997))" . a , ; "POLYGON ((-25.000012 29.999997, 44.999988 29.999997, 44.999988 71.999997, -25.000012 71.999997, -25.000012 29.999997))" . a , ; "POLYGON ((-25.000012 29.999997, 44.999988 29.999997, 44.999988 71.999997, -25.000012 71.999997, -25.000012 29.999997))" . a , ; , ; "raw data" . a , ; "biblio" . a , ; "metadata" . a , ; ; "data" . a , , ; ; 640813; "https://api.rohub.org/api/resources/1c42782a-8669-4959-a5a1-72f66972615c/download/"; ; "2023-03-21 00:35:58.849167+00:00"; "2023-06-27 16:32:32.650118+00:00"; "image/png"; ; "Data Cube Collection - ADAM screenshot"; "2023-03-21 00:35:58.849167+00:00" . a . a . a . a ; dct:conformsTo ; . a ; "Air pollution"; "Environment/Environmental pollution/Air pollution" . a ; "forecast"; "27.092511013215855"; "12.3" . a ; "Weather"; "Weather" . a ; "CAMS European air quality forecasts."; "29.129129129129126"; "29.1" . a ; "Research Object for cam"; "0.7056451612903225"; "0.7" . a ; "meteorology and climatology"; "100.0"; "0.48560017347335815" . a ; "geosciences"; "100.0"; "0.48560017347335815" . a ; "cam"; "13.951120162932792"; "13.7" . a ; "Weather forecast"; "Weather/Weather forecast" . a ; "air quality forecast"; "56.149193548387096"; "55.7" . a ; "forecast"; "12.118126272912425"; "11.9" . a ; "Data cube Research Object for CAMS European air quality forecasts"; "70.87087087087086"; "70.8" . a ; "atmospheric sciences"; "100.0"; "0.993925154209137" . a ; "data cube Research Object"; "21.471774193548388"; "21.3" . a ; "data cube"; "14.358452138492874"; "14.1" . a ; "air quality"; "34.92871690427698"; "34.3" . a ; "Research Object"; "24.64358452138493"; "24.2" . a ; "air quality"; "72.90748898678413"; "33.1" . a ; "earth sciences"; "100.0"; "0.993925154209137" . a ; "data cube Research Object for cam"; "1.9153225806451613"; "1.9" . a ; "European air quality"; "19.758064516129036"; "19.6" . a ; "Raul Palma" . a ; ""; "Hydrology" . a ; ""; "Environmental research" . a ; ""; "Applied sciences" . a ; ""; "Climatology" . a ; "WUNDER"; "17.76061776061776"; "9.2" . a ; "monitoring"; "9.652509652509654"; "5.0" . a ; "Science and technology"; "Science and technology" . a ; "geosciences"; "100.0"; "0.8694591522216797" . a ; "agriculture"; "30.85106382978724"; "2.9" . a ; "extreme drought"; "10.666666666666666"; "6.4" . a ; "Weather phenomena"; "Weather/Weather phenomena" . a ; "nature system"; "14.166666666666666"; "8.5" . a ; "meteorology"; "54.255319148936174"; "5.1" . a ; "production system"; "10.424710424710426"; "5.4" . a ; "climate change"; "10.96774193548387"; "8.5" . a ; "scenario"; "4.387096774193548"; "3.4" . a ; "research"; "5.935483870967741"; "4.6" . a ; "The WUNDER project will develop an integrated modeling system for understanding the behavior of soil and vegetation during prolonged drought events."; "29.79310344827586"; "21.6" . a ; "WUNDER project"; "37.833333333333336"; "22.7" . a ; "manager"; "6.709677419354839"; "5.2" . a ; "soil sciences"; "100.0"; "0.9632349610328674" . a ; "environmental sciences"; "100.0"; "0.9632349610328674" . a ; "production"; "8.129032258064516"; "6.3" . a ; "behavior"; "4.516129032258065"; "3.5" . a ; "drought"; "24.258064516129032"; "18.8" . a ; "Netherlands"; . a ; "project"; "11.583011583011583"; "6.0" . a ; "hurt"; "4.645161290322581"; "3.6" . a ; "use case"; "8.687258687258687"; "4.5" . a ; "the economy"; "14.893617021276597"; 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The Figure below shows the 5 key beneficial changes from IMO's **Sulphur Limit** for Ships' fuel oil: ![Sulphur key changes](https://wwwcdn.imo.org/localresources/en/MediaCentre/PressBriefings/PublishingImages/2019 images pb/5 changes - Sulphur 2020 - infographic web.jpg) *Five beneficial changes from IMO’s Sulphur Limit for ships’ fuel oil* ## This Research Object's purpose In this work we look as the **actual impact of these measures on air pollution along shipping routes in Europe** based on Copernicus air quality data. [Copernicus Atmosphere Monitoring Service (CAMS)](https://ads.atmosphere.copernicus.eu/cdsapp#!/home) uses satellite data and other observations, together with computer models, to track the accumulation and movement of air pollutants around the planet (see [https://atmosphere.copernicus.eu/air-quality](https://atmosphere.copernicus.eu/air-quality)). ### Rohub - Adam plateform integration Some of this CAMS data is available from the [Adam platform](https://adamplatform.eu) and can be imported into a [Research Object](https://www.researchobject.org). ![ADAM Platform](https://adamplatform.eu/wp-content/uploads/2021/03/adam-home-platfomr.png) *Example of data (here daily temperatures) displayed on the Adam plateform* It is also possible, from the Research Object, to open the resource in the Adam platform, then interactively zoom into a particular geographical area (say to the right of the Strait of Gibraltar, along the track presumably followed by cargo ships to/from the Suez Canal) and change the date (for example between 2018-07-19 and 2023-07-19) to appreciate the change. #### To go further Obviously **a more detailed statistical analysis** would be required to minimize the effect of external factors (meteorological condition, level of cargo traffic, etc.) over a longer period of time to derive meaningful conclusions, however it does not seem that the high level of sulfur dioxide concentration from the pre-IMO regulation was reached after. ##### Looking at other pollutants Besides SOx the new regulation also contributed to decrease atmospheric concentrations in nitric oxides (NOx) as well as particulate matter (PM). ### References - [IMO 2020 - cleaner shipping for cleaner air, 20 December 2019](https://www.imo.org/en/MediaCentre/PressBriefings/pages/34-IMO-2020-sulphur-limit-.aspx)""", """## Rationale From 1st January 2020 the global upper limit on the sulphur content of ships' fuel oil was reduced from 3.50% to 0.50%, which represents an ~86% cut (from [https://www.imo.org/en/MediaCentre/PressBriefings/pages/34-IMO-2020-sulphur-limit-.aspx](https://www.imo.org/en/MediaCentre/PressBriefings/pages/34-IMO-2020-sulphur-limit-.aspx)). ![Ship image](https://wwwcdn.imo.org/localresources/en/MediaCentre/PressBriefings/PublishingImages/2019%20images%20pb/Sulphur%202020%20inside%20pic.jpg) *Image from [IMO 2020 - cleaner shipping for cleaner air, 20 December 2019](https://www.imo.org/en/MediaCentre/PressBriefings/pages/34-IMO-2020-sulphur-limit-.aspx)* According to the [International Maritime Organization (IMO)](https://www.imo.org/) the new limit should lead to a 77% drop in overall SOx emissions from ships. The Figure below shows the 5 key beneficial changes from IMO's **Sulphur Limit** for Ships' fuel oil: ![Sulphur key changes](https://wwwcdn.imo.org/localresources/en/MediaCentre/PressBriefings/PublishingImages/2019%20images%20pb/5%20changes%20-%20Sulphur%202020%20-%20infographic%20web.jpg) *Five beneficial changes from IMO’s Sulphur Limit for ships’ fuel oil* ## This Research Object's purpose In this work we look as the **actual impact of these measures on air pollution along shipping routes in Europe** based on Copernicus air quality data. [Copernicus Atmosphere Monitoring Service (CAMS)](https://ads.atmosphere.copernicus.eu/cdsapp#!/home) uses satellite data and other observations, together with computer models, to track the accumulation and movement of air pollutants around the planet (see [https://atmosphere.copernicus.eu/air-quality](https://atmosphere.copernicus.eu/air-quality)). ### Rohub - Adam plateform integration Some of this CAMS data is available from the [Adam platform](https://adamplatform.eu) and can be imported into a [Research Object](https://www.researchobject.org). ![ADAM Platform](https://adamplatform.eu/wp-content/uploads/2021/03/adam-home-platfomr.png) *Example of data (here daily temperatures) displayed on the Adam plateform* It is also possible, from the Research Object, to open the resource in the Adam platform, then interactively zoom into a particular geographical area (say to the right of the Strait of Gibraltar, along the track presumably followed by cargo ships to/from the Suez Canal) and change the date (for example between 2018-07-19 and 2023-07-19) to appreciate the change. #### To go further Obviously **a more detailed statistical analysis** would be required to minimize the effect of external factors (meteorological condition, level of cargo traffic, etc.) over a longer period of time to derive meaningful conclusions, however it does not seem that the high level of sulfur dioxide concentration from the pre-IMO regulation was reached after. ##### Looking at other pollutants Besides SOx the new regulation also contributed to decrease atmospheric concentrations in nitric oxides (NOx) as well as particulate matter (PM). ### References - [IMO 2020 - cleaner shipping for cleaner air, 20 December 2019](https://www.imo.org/en/MediaCentre/PressBriefings/pages/34-IMO-2020-sulphur-limit-.aspx)"""; "application/ld+json"; ; ; , , , , , ; "https://w3id.org/ro-id/075e9430-5949-4a09-8622-d20916994eaa"; "Air pollution", "sulphur"; ; "Data Cube Product"; "Has the 2020 IMO fuel regulation had any noticeable impact on air pollution from shipping?"; , ; ; "MANUAL"; ; "https://w3id.org/ro/terms/earth-science#DataCentricResearchObjectTemplate"; "Iaquinta, Jean, Anne Fouilloux, and Raul Palma. \"Has the 2020 IMO fuel regulation had any noticeable impact on air pollution from shipping?.\" ROHub. 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E-fuels like hydrogen, ammonia, e-methanol or e-kerosene can be produced from renewable energy and feedstocks and are more economical to deploy in these two modes than direct electrification. The analysis evaluates the challenges and opportunities related to e-fuel production technologies and feedstock options to identify priorities for making e-fuels cheaper and maximising emissions cuts. The research also explores operational requirements for the two sectors to deploy e-fuels and how governments can assist in adopting low-carbon fuels"""; "application/pdf"; "e-fuels"; ; "The Potential of E-fuels to Decarbonise Ships and Aircraft"; "2023-09-19 10:42:29.889446+00:00" . a , , ; ; "https://wwwcdn.imo.org/localresources/en/MediaCentre/PressBriefings/PublishingImages/2019%20images%20pb/5%20changes%20-%20Sulphur%202020%20-%20infographic%20web.jpg"; ; "2023-09-12 07:52:45.389481+00:00"; "2023-09-12 07:52:46.306392+00:00"; "Five beneficial changes from IMO's Sulphur Limit for ships' fuel oil"; "image/jpeg"; "IMO", "benefits"; ; "IMO 2020 - five key changes"; "2023-09-12 07:52:45.389481+00:00" . a ; "PSNC"; "rpalma@man.poznan.pl"; "Raul Palma" . a ; ""; "Social sciences" . a . a ; "psychometric test"; "31.72242874845105"; "25.6" . a ; "test"; "31.72242874845105"; "25.6" . a ; "test project"; "58.25825825825825"; "58.2" . a ; "20.802612304687504"; "41.054501963290505"; "POINT (20.802612304687504 41.054501963290505)" . a ; ; "ef6298c6-a8d1-453c-82d4-ac64b589902e"; "POINT (20.802612304687504 41.054501963290505)" . a ; "service-account-enrichment" . a , , , ; ; ; ; 5570; "https://api.rohub.org/api/ros/38051187-5ecf-4bcd-86a2-2110bda04a83/crate/download/"; ; "2023-09-12 13:33:11.284627+00:00"; "2025-03-05 01:24:17.300410+00:00"; "2023-09-12 13:33:11.284627+00:00"; "Description for this test project"; "application/ld+json"; , , , ; "https://w3id.org/ro-id/38051187-5ecf-4bcd-86a2-2110bda04a83"; "terminology", "translation"; ; "Test for MANU"; ; "MANUAL"; "https://w3id.org/ro-id/38051187-5ecf-4bcd-86a2-2110bda04a83/8e8db799-e445-4a8c-ab48-7bf0c9b869b1"; "https://w3id.org/ro-id/056b42f0-8ae7-4b4c-b74f-aec8cd96869e", "https://w3id.org/ro-id/0d5c07ce-b6d1-4090-a340-90cd3f792167", "https://w3id.org/ro-id/49cad995-6901-445e-81aa-b14f86f1b13b", "https://w3id.org/ro-id/e7400201-46bb-4150-b0af-e46c74da61cb"; "https://w3id.org/ro-id/47c04cf8-161f-4639-9cb0-49b09a72d276", "https://w3id.org/ro-id/6bf2a0de-229e-4320-9921-e7d2bbf3cc15"; "https://w3id.org/ro-id/47755dea-9ffd-4e53-a7df-7d5338fdb661", "https://w3id.org/ro-id/745153e0-edf8-4a67-9123-a27d5edcd17c", "https://w3id.org/ro-id/d1181dfd-cefb-4a91-b5f8-31cfefe73282", "https://w3id.org/ro-id/f25f98be-cbac-42e4-ae1d-5cfca98d9fb2"; "https://w3id.org/ro-id/9910bcde-4b9d-48a0-ba06-d3b4a0aad5b9", "https://w3id.org/ro-id/e191868c-1c50-4dd5-8b23-cbc1b3779c4d"; "https://w3id.org/ro-id/18decb54-f980-4829-a6a8-74cc37f6db08", "https://w3id.org/ro-id/e90b9796-ec48-4c6c-b68f-47b805e30c12"; "https://w3id.org/ro-id/cd65835f-6a54-4c00-a28d-8bfe87e81762", "https://w3id.org/ro-id/d603055e-8848-4564-a9ff-b7fcaaf33087"; "https://w3id.org/ro/terms/earth-science#DataCentricResearchObjectTemplate"; "Mickoski, Nikolche. \"Test for MANU.\" ROHub. 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"https://w3id.org/ro-id/44a27f08-8807-4636-82f6-c0f14dce687e", "https://w3id.org/ro-id/8dab0d81-aefa-4e49-b9d0-f2d47a7bcd57"; "https://w3id.org/ro/terms/earth-science#DataCentricResearchObjectTemplate"; "Rrustemi, Zgjim. \"Using OpenMP with HPC clusters.\" ROHub. Sep 12 ,2023. https://w3id.org/ro-id/da3e1263-e472-48be-9f0e-a287ad4ca28b." . a , ; "data" . a , ; "raw data" . a , ; "biblio" . a , ; "metadata" . a ; dct:conformsTo ; . a ; "streamline virtual environments"; "22.93577981651376"; "22.5" . a ; "Design (visual arts)"; "Arts, culture and entertainment/Arts and entertainment/Visual arts/Design (visual arts)" . a ; "handheld"; "9.12996777658432"; "8.5" . a ; "field"; "15.086206896551724"; "14.0" . a ; "solid state physics"; "33.74108053007136"; "33.1" . a ; "Zgjim Rrustemi" . a , , ; ; "https://docs.google.com/spreadsheets/d/16cYvtoMfpW2uw2U5gkO8bPQ4hnXJ2PsZsZIKoOwkDfw/edit?usp=sharing"; ; "2023-10-06 07:32:35.525329+00:00"; "2023-10-06 07:33:16.902294+00:00"; "This file uses new_atrix.csv as a starting point and filtered by dates e.g. from 1st January 2022 to 31 December 2022. Then a pivot table is created where sort, q and reslabel were selected for column and c for row."; "pivot"; ; "filtered matrix 2022 (Google Sheet)"; "2023-10-06 07:32:35.525329+00:00" . a , , ; ; "https://docs.google.com/spreadsheets/d/1zDfCTEyoAbD8-w-Yg9eSbSGkkcGJEFDsOAsY6k8wE3U/edit?usp=sharing"; ; "2023-10-06 07:35:30.774035+00:00"; "2023-10-06 07:52:03.130233+00:00"; "This google sheet contains the FIP convergence matrix for year 2022. The tab \"matrix\" is the main tab while FERs are unique list of FERs and Communities tab the list of unique names for communities."; "csv"; ; "FIP convergence matrix Google Sheet (2022)"; "2023-10-06 07:35:30.774035+00:00" . a ; "GO FAIR Foundation"; "barbara@gofair.foundation"; "Barbara Magagna"; "0000-0003-2195-3997" . a , , ; ; "https://osf.io/de6su/"; ; "2023-10-06 07:38:16.652599+00:00"; "2023-10-06 07:38:17.859174+00:00"; "FIP.21 FIP Facilitator training by Barbara Magagna. This presentation is part of the GO FAIR Foundation series of training for facilitators."; "FIP"; ; "FIP.21 FIP Facilitator training"; "2023-10-06 07:38:16.652599+00:00" . a , , , ; ; ; 0; "https://api.rohub.org/api/ros/073ab8fc-67b3-4ec7-915e-17ffb47f09c5/crate/download/"; ; ; ; "2023-10-06 07:11:17.444701+00:00"; "2025-10-16 13:12:54.720948+00:00"; "2023-10-06 07:11:17.444701+00:00"; """This Research Object contains all the data used for producing a FIP convergence matrix for the year 2022. The raw data has been fetch from [https://github.com/peta-pico/dsw-nanopub-api](https://github.com/peta-pico/dsw-nanopub-api) on Thursday 5 October 2023. The original matrix called new_matrix.csv ([https://github.com/peta-pico/dsw-nanopub-api/blob/main/tables/new_matrix.csv](https://github.com/peta-pico/dsw-nanopub-api/blob/main/tables/new_matrix.csv)) is stored in the raw data folder for reference. The methodology used to create the FIP convergence Matrix is detailed in the presentation from Barbara Magagna [https://osf.io/de6su/](https://osf.io/de6su/)."""; "application/ld+json"; , , , , ; "https://w3id.org/ro-id/073ab8fc-67b3-4ec7-915e-17ffb47f09c5"; "FAIR", "FIP"; ; "Dataset"; "FIP convergence Matrix Year 2022"; ; "MANUAL"; , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ; "https://w3id.org/ro/terms/earth-science#DataCentricResearchObjectTemplate"; "Fouilloux, Anne, and Barbara Magagna. \"FIP convergence Matrix Year 2022.\" ROHub. Oct 06 ,2023. https://w3id.org/ro-id/073ab8fc-67b3-4ec7-915e-17ffb47f09c5." . a , ; ; "biblio" . a , ; , ; "data" . a , ; ; "raw data" . a , ; ; "metadata" . a , , ; ; 598174; "https://api.rohub.org/api/resources/7683f508-3363-4c9a-8eb2-12d31d7e5a4a/download/"; ; "2023-10-06 07:19:07.196369+00:00"; "2023-10-06 07:40:30.380591+00:00"; "Partial view of the FIP convergence matrix for illustration purposes only."; "image/png"; ; "FIP_convergenceMatrix_AF.png"; "2023-10-06 07:19:07.196369+00:00" . a , , ; ; 2686114; "https://api.rohub.org/api/resources/a55b4924-4d0b-4a17-8a5c-22dce26fcf6c/download/"; ; "2023-10-06 07:26:35.220079+00:00"; "2023-10-06 07:26:37.702648+00:00"; "This CSV file is the result of a SPARQL query executed by a GitHub action."; "text/csv"; "csv"; ; "new_matrix.csv"; "2023-10-06 07:26:35.220079+00:00" . a , , ; ; 262192; "https://api.rohub.org/api/resources/bc3f8893-19ec-4d72-a1fb-20fc92244634/download/"; ; "2023-10-06 07:50:28.741225+00:00"; "2023-10-06 07:51:29.248486+00:00"; 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These benchmarks are often used for comparing different Message Passing Inerface (MPI) implementations and the underlying network interconnect. Here we use the OSU micro-benchmark (version 7.2) to assess the performance in terms of bandwidth achieved with an Apptainer container between 2 processors on different nodes with OpenMPI (version 4.1.6) on the Norwegian academic High Performance Computers (HPC) located in Tromsø (Fram) and Trondheim (Betzy)."""; "application/ld+json"; , , , , ; "https://w3id.org/ro-id/3125b7be-03f9-447e-806f-20beb66f7949"; "Apptainer", "HPC", "MPI", "OSU", "Performance", "bandwidth", "container", "interconnect"; ; "Dataset"; "OSU MPI Get Bandwidth Test v7.2 with OpenMPI 4.1.6 on Fram & Betzy"; ; ; "MANUAL"; , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ; "https://w3id.org/ro/terms/earth-science#DataCentricResearchObjectTemplate"; "Iaquinta, Jean. \"OSU MPI Get Bandwidth Test v7.2 with OpenMPI 4.1.6 on Fram & Betzy.\" ROHub. Jan 05 ,2024. https://w3id.org/ro-id/3125b7be-03f9-447e-806f-20beb66f7949." . a , ; ; "biblio" . a , ; "raw data" . a , ; ; "data" . a , ; "metadata" . a , , ; dct:doi "10.24424/pv5n-vq62"; ; 1338; "https://api.rohub.org/api/resources/bdf5c934-6836-4f3c-a2f1-3438b7cd91ae/download/"; ; "2024-01-05 14:33:02.319503+00:00"; "2024-01-05 14:42:23.278595+00:00"; "Output of the OSU MPI Get Bandwidth Test with openMPI 4.1.6 on Fram and Betzy"; "text/csv"; "Apptainer", "OSU"; ; "OSU7.2-Fram-Betzy"; "2024-01-05 14:33:02.319503+00:00" . a , , ; dct:doi "10.24424/7nkm-2072"; ; 36301; "https://api.rohub.org/api/resources/ecc14c39-87d8-4cda-8e54-2e5b5a6bd9cc/download/"; ; "2024-01-05 14:26:46.457298+00:00"; "2024-01-05 14:43:41.523852+00:00"; "Plot showing the bandwidth as a function of the message size on Fram and Betzy"; "image/png"; ; "OSU-2023Dec.png"; "2024-01-05 14:26:46.457298+00:00" . a ; dct:conformsTo ; . a , ; "False"; ; "2024-01-05 15:11:39.987851+00:00"; . a , ; "NICEST-2 - the second phase of the Nordic Collaboration on e-Infrastructures for Earth System Modeling focuses on strengthening the Nordic position within climate modeling by leveraging, reinforcing and complementing ongoing initiatives.", "NICEST-2 - the second phase of the Nordic Collaboration on e-Infrastructures for Earth System Modeling focuses on strengthening the Nordic position within climate modeling by leveraging, reinforcing and complementing ongoing initiatives."; "Nordic Collaboration on e-Infrastructures for Earth System Modeling Tools", "Nordic Collaboration on e-Infrastructures for Earth System Modeling Tools"; "https://w3id.org/ro-id/ed4e6aa2-9db8-452d-9301-ba1606361034", "https://w3id.org/ro-id/ed4e6aa2-9db8-452d-9301-ba1606361034" . a ; "bench mark"; "24.867724867724867"; "14.1" . a ; "earth sciences"; "100.0"; "0.4361959993839264" . a ; "High Performance Computer"; "8.721804511278195"; "5.8" . a ; "benchmark"; "22.045855379188712"; "12.5" . a ; "MPI operation"; "12.607099143206854"; "10.3" . a ; "Office of Management and Budget"; . a ; "information technology"; "22.65625"; "2.9" . a ; "Steeple chase"; "Sport/Competition discipline/Horse racing/Steeple chase" . a ; "benchmark"; "23.60902255639098"; "15.7" . a ; "mathematical and computer sciences"; "100.0"; "0.6090793609619141" . a ; "interconnect"; "10.225563909774436"; "6.8" . a ; "Education"; "Education" . a ; "atmospheric sciences"; "100.0"; "0.4361959993839264" . a ; "microcomputer"; "23.809523809523807"; "13.5" . a ; "different Message Passing Inerface"; "7.099143206854345"; "5.8" . a ; "Message Passing Inerface"; "13.68421052631579"; "9.1" . a ; "computer programming and software"; "100.0"; "0.6090793609619141" . a ; "interconnect"; "11.28747795414462"; "6.4" . a ; "micro"; "21.804511278195488"; "14.5" . a ; "University"; "Education/School/Higher education/University" . a ; "Osu micro-benchmark"; "47.61321909424724"; "38.9" . a ; "Trondheim"; . a ; "micro benchmark"; "21.052631578947366"; "17.2" . a ; "computer network"; "9.876543209876543"; "5.6" . a ; "network interconnect"; "11.627906976744185"; "9.5" . a ; "network"; "7.36842105263158"; "4.9" . a ; "Ohio State University"; "14.586466165413531"; "9.7" . a ; "These benchmarks are often used for comparing different Message Passing Inerface (MPI) implementations and the underlying network interconnect."; "30.184804928131417"; "29.4" . a ; "computer science"; "77.34375"; "9.9" . a ; "Here we use the OSU micro-benchmark (version 7.2) to assess the performance in terms of bandwidth achieved with an Apptainer container between 2 processors on different nodes with OpenMPI (version 4.1.6) on the Norwegian academic High Performance Computers (HPC) located in Tromsø (Fram) and Trondheim (Betzy)"; "22.689938398357288"; "22.1" . a ; "The Ohio State University (OSU) Micro Benchmarks (OMB) are a widely used suite of benchmarks for measuring and evaluating the performance of MPI operations for point-to-point, multi-pair, and collective communications."; "47.12525667351129"; "45.9" . a ; "Tromsø"; . a ; "bandwidth"; "8.112874779541444"; "4.6" . a , , ; ; "https://www.sciopen.com/article/10.1007/s11390-023-2907-5"; ; "2024-01-16 16:05:31.945926+00:00"; "2024-01-16 16:05:33.287119+00:00"; """Abstract The Slingshot interconnect designed by HPE/Cray is becoming more relevant in high-performance computing with its deployment on the upcoming exascale systems. In particular, it is the interconnect empowering the first exascale and highest-ranked supercomputer in the world, Frontier. It offers various features such as adaptive routing, congestion control, and isolated workloads. The deployment of newer interconnects sparks interest related to performance, scalability, and any potential bottlenecks as they are critical elements contributing to the scalability across nodes on these systems. In this paper, we delve into the challenges the Slingshot interconnect poses with current state-of-the-art MPI (message passing interface) libraries. In particular, we look at the scalability performance when using Slingshot across nodes. We present a comprehensive evaluation using various MPI and communication libraries including Cray MPICH, OpenMPI + UCX, RCCL, and MVAPICH2 on CPUs and GPUs on the Spock system, an early access cluster deployed with Slingshot-10, AMD MI100 GPUs and AMD Epyc Rome CPUs to emulate the Frontier system. We also evaluate preliminary CPU-b:ed support of MPI libraries on the Slingshot-11 interconnect."""; "Slingshot", "interconnect"; ; "High Performance MPI over the Slingshot Interconnect"; "2024-01-16 16:05:31.945926+00:00" . a . a , , , ; dct:doi "10.24424/zcq6-9r81"; ; "False"; ; "2024-01-05 15:11:39.987851+00:00"; ; ; ; 45133; "https://api.rohub.org/api/ros/97b0167c-0cb4-457d-abe8-41d1a9d1b981/crate/download/"; ; ; "2024-01-05 14:14:55.022211+00:00"; "2024-03-05 12:22:12.345762+00:00"; "2024-01-05 14:14:55.022211+00:00"; """The Ohio State University (OSU) Micro Benchmarks (OMB) are a widely used suite of benchmarks for measuring and evaluating the performance of MPI operations for point-to-point, multi-pair, and collective communications. These benchmarks are often used for comparing different Message Passing Inerface (MPI) implementations and the underlying network interconnect. Here we use the OSU micro-benchmark (version 7.2) to assess the performance in terms of bandwidth achieved with an Apptainer container between 2 processors on different nodes with OpenMPI (version 4.1.6) on the Norwegian academic High Performance Computers (HPC) located in Tromsø (Fram) and Trondheim (Betzy)."""; "application/ld+json"; , , , , ; "https://w3id.org/ro-id/97b0167c-0cb4-457d-abe8-41d1a9d1b981"; "Apptainer", "HPC", "MPI", "OSU", "Performance", "bandwidth", "container", "interconnect"; ; "Dataset"; "OSU MPI Get Bandwidth Test v7.2 with OpenMPI 4.1.6 on Fram & Betzy"; ; ; "MANUAL"; , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ; "https://w3id.org/ro/terms/earth-science#DataCentricResearchObjectTemplate"; "Iaquinta, Jean. \"OSU MPI Get Bandwidth Test v7.2 with OpenMPI 4.1.6 on Fram & Betzy.\" ROHub. Jan 05 ,2024. https://doi.org/10.24424/zcq6-9r81." . a , ; ; "data" . a , ; "raw data" . a , ; ; "biblio" . a , ; "metadata" . a , , ; dct:doi "10.24424/7nkm-2072"; ; 36301; "https://api.rohub.org/api/resources/55d5e2f5-c395-4da5-a7d1-9621c480d0ef/download/"; ; "2024-01-05 14:26:46.457298+00:00"; "2024-01-05 15:11:39.077450+00:00"; "Plot showing the bandwidth as a function of the message size on Fram and Betzy"; "image/png"; ; "OSU-2023Dec.png"; "2024-01-05 14:26:46.457298+00:00" . a , , ; dct:doi "10.24424/pv5n-vq62"; ; 1338; "https://api.rohub.org/api/resources/abbe45f6-a4c4-4ec4-af82-79bb0a95440e/download/"; ; "2024-01-05 14:33:02.319503+00:00"; "2024-01-05 15:11:39.583041+00:00"; "Output of the OSU MPI Get Bandwidth Test with openMPI 4.1.6 on Fram and Betzy"; "text/csv"; "Apptainer", "OpenMPI"; ; "OSU7.2-Fram-Betzy"; "2024-01-05 14:33:02.319503+00:00" . a ; dct:conformsTo ; . a , , ; "2024-01-09 09:49:11.365811+00:00"; ; prov:wasDerivedFrom . a ; "bandwidth"; "8.112874779541444"; "4.6" . a ; "Message Passing Inerface"; "13.68421052631579"; "9.1" . a ; "Trondheim"; . a ; "Osu micro-benchmark"; "47.61321909424724"; "38.9" . a ; "Ohio State University"; "14.586466165413531"; "9.7" . a ; "High Performance Computer"; "8.721804511278195"; "5.8" . a ; "network interconnect"; "11.627906976744185"; "9.5" . a ; "benchmark"; "22.045855379188712"; "12.5" . a ; "The Ohio State University (OSU) Micro Benchmarks (OMB) are a widely used suite of benchmarks for measuring and evaluating the performance of MPI operations for point-to-point, multi-pair, and collective communications."; "47.12525667351129"; "45.9" . a ; "bench mark"; "24.867724867724867"; "14.1" . a ; "Education"; "Education" . a ; "micro benchmark"; "21.052631578947366"; "17.2" . a ; "University"; "Education/School/Higher education/University" . a ; "MPI operation"; "12.607099143206854"; "10.3" . a ; "computer network"; "9.876543209876543"; "5.6" . a ; "benchmark"; "23.60902255639098"; "15.7" . a ; "interconnect"; "10.225563909774436"; "6.8" . a ; "earth sciences"; "100.0"; "0.4361959993839264" . a ; "computer programming and software"; "100.0"; "0.6090793609619141" . a ; "mathematical and computer sciences"; "100.0"; "0.6090793609619141" . a ; "information technology"; "22.65625"; "2.9" . a ; "interconnect"; "11.28747795414462"; "6.4" . a ; "different Message Passing Inerface"; "7.099143206854345"; "5.8" . a ; "Steeple chase"; "Sport/Competition discipline/Horse racing/Steeple chase" . a ; "micro"; "21.804511278195488"; "14.5" . a ; "Here we use the OSU micro-benchmark (version 7.2) to assess the performance in terms of bandwidth achieved with an Apptainer container between 2 processors on different nodes with OpenMPI (version 4.1.6) on the Norwegian academic High Performance Computers (HPC) located in Tromsø (Fram) and Trondheim (Betzy)"; "22.689938398357288"; "22.1" . a ; "atmospheric sciences"; "100.0"; "0.4361959993839264" . a ; "computer science"; "77.34375"; "9.9" . a ; "Tromsø"; . a ; "microcomputer"; "23.809523809523807"; "13.5" . a ; "Office of Management and Budget"; . a ; "network"; "7.36842105263158"; "4.9" . a ; "These benchmarks are often used for comparing different Message Passing Inerface (MPI) implementations and the underlying network interconnect."; "30.184804928131417"; "29.4" . a , , ; ; "https://www.osti.gov/servlets/purl/1997634"; ; "2024-01-17 10:54:09.114061+00:00"; "2024-01-17 10:54:10.405249+00:00"; """Abstract—Open MPI is an open-source implementation of the MPI-3 standard that is developed and maintained by collaborators from academia, industry, and national laboratories. Oak Ridge National Laboratory (ORNL) and Los Alamos National Laboratory (LANL) are collaborating on porting and optimizing Open MPI and related components for use on HPE Cray EX systems, with a focus on the DOE Frontier and Aurora exa-scale systems. A key component of this effort involves development of a new LinkX Open Fabrics Interface (OFI) provider. In this paper, we describe enhancements to Open MPI, OpenPMIx runtime components, and the LinkX OFI provider. Performance results are presented for point to point and collective communication operations using both the vendor CXI provider and the LinkX provider, including results obtained using GPU accelerators. Recommended deployment options for EX systems will be discussed, along with future work."""; "Slingshot 11", "libfabric"; ; "Open MPI for HPE Cray EX Systems"; "2024-01-17 10:54:09.114061+00:00" . a , , ; "", "", ""; "Applied sciences", "Applied sciences", "Applied sciences" . a ; "jeani@uio.no"; "Jean Iaquinta"; "0000-0002-8763-1643" . a , ; "01xtthb56"; "University of Oslo" . a . a ; "NICEST-2 - the second phase of the Nordic Collaboration on e-Infrastructures for Earth System Modeling focuses on strengthening the Nordic position within climate modeling by leveraging, reinforcing and complementing ongoing initiatives."; "Nordic Collaboration on e-Infrastructures for Earth System Modeling Tools"; "https://w3id.org/ro-id/ed4e6aa2-9db8-452d-9301-ba1606361034" . a , , , , ; dct:doi "10.24424/zcq6-9r81"; "2024-01-09 09:49:11.365811+00:00"; ; ; ; 0; "https://api.rohub.org/api/ros/ee8895fd-fe5a-46d7-9228-9d98a2d3a205/crate/download/"; ; ; "2024-01-05 14:14:55.022211+00:00"; "2024-03-05 12:22:12.231024+00:00"; "2024-01-05 14:14:55.022211+00:00"; """The Ohio State University (OSU) Micro Benchmarks (OMB) are a widely used suite of benchmarks for measuring and evaluating the performance of MPI operations for point-to-point, multi-pair, and collective communications. These benchmarks are often used for comparing different Message Passing Inerface (MPI) implementations and the underlying network interconnect. Here we use the OSU micro-benchmark (version 7.2) to assess the performance in terms of bandwidth achieved with an Apptainer container between 2 processors on different nodes with OpenMPI (version 4.1.6) on the Norwegian academic High Performance Computers (HPC) located in Tromsø (Fram) and Trondheim (Betzy)."""; "application/ld+json"; , , , , ; "https://w3id.org/ro-id/ee8895fd-fe5a-46d7-9228-9d98a2d3a205"; "Apptainer", "HPC", "MPI", "OSU", "Performance", "bandwidth", "container", "interconnect"; ; "Dataset"; "OSU MPI Get Bandwidth Test v7.2 with OpenMPI 4.1.6 on Fram & Betzy - fork", "OSU MPI Get Bandwidth Test v7.2 with OpenMPI 4.1.6 on Fram & Betzy"; ; ; "MANUAL"; , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ; prov:wasDerivedFrom ; "https://w3id.org/ro/terms/earth-science#DataCentricResearchObjectTemplate"; "Iaquinta, Jean. \"OSU MPI Get Bandwidth Test v7.2 with OpenMPI 4.1.6 on Fram & Betzy.\" ROHub. Jan 05 ,2024. https://w3id.org/ro-id/ee8895fd-fe5a-46d7-9228-9d98a2d3a205." . a , ; ; "data" . a , ; "raw data" . a , ; "metadata" . a , ; "biblio" . a , , ; dct:doi "10.24424/7nkm-2072"; ; 36301; "https://api.rohub.org/api/resources/8d871c23-a90b-47a0-8e62-2bbb450f8054/download/"; ; "2024-01-05 14:26:46.457298+00:00"; "2024-01-09 09:49:06.876306+00:00"; "Plot showing the bandwidth as a function of the message size on Fram and Betzy"; "image/png"; ; "OSU-2023Dec.png"; "2024-01-05 14:26:46.457298+00:00" . a , , ; dct:doi "10.24424/pv5n-vq62"; ; 1338; "https://api.rohub.org/api/resources/c1d71471-3c76-43a4-a1fa-2cbe6ee7a84a/download/"; ; "2024-01-05 14:33:02.319503+00:00"; "2024-01-09 09:49:06.533423+00:00"; "Output of the OSU MPI Get Bandwidth Test with openMPI 4.1.6 on Fram and Betzy"; "text/csv"; "Apptainer", "OSU"; ; "OSU7.2-Fram-Betzy"; "2024-01-05 14:33:02.319503+00:00" . a ; dct:conformsTo ; . a ; "bandwidth"; "8.112874779541444"; "4.6" . a ; "Here we use the OSU micro-benchmark (version 7.2) to assess the performance in terms of bandwidth achieved with an Apptainer container between 2 processors on different nodes with OpenMPI (version 4.1.6) on the Norwegian academic High Performance Computers (HPC) located in Tromsø (Fram) and Trondheim (Betzy)"; "22.689938398357288"; "22.1" . a ; "computer science"; "77.34375"; "9.9" . a ; "computer programming and software"; "100.0"; "0.6090793609619141" . a ; "mathematical and computer sciences"; "100.0"; "0.6090793609619141" . a ; "These benchmarks are often used for comparing different Message Passing Inerface (MPI) implementations and the underlying network interconnect."; "30.184804928131417"; "29.4" . a ; "interconnect"; "11.28747795414462"; "6.4" . a ; "Ohio State University"; "14.586466165413531"; "9.7" . a ; "earth sciences"; "100.0"; "0.4361959993839264" . a ; "The Ohio State University (OSU) Micro Benchmarks (OMB) are a widely used suite of benchmarks for measuring and evaluating the performance of MPI operations for point-to-point, multi-pair, and collective communications."; "47.12525667351129"; "45.9" . a ; "computer network"; "9.876543209876543"; "5.6" . a ; "network"; "7.36842105263158"; "4.9" . a ; "atmospheric sciences"; "100.0"; "0.4361959993839264" . a ; "network interconnect"; "11.627906976744185"; "9.5" . a ; "Trondheim"; . a ; "micro benchmark"; "21.052631578947366"; "17.2" . a ; "Office of Management and Budget"; . a ; "Message Passing Inerface"; "13.68421052631579"; "9.1" . a ; "High Performance Computer"; "8.721804511278195"; "5.8" . a ; "University"; "Education/School/Higher education/University" . a ; "Osu micro-benchmark"; "47.61321909424724"; "38.9" . a ; "Steeple chase"; "Sport/Competition discipline/Horse racing/Steeple chase" . a ; "bench mark"; "24.867724867724867"; "14.1" . a ; "interconnect"; "10.225563909774436"; "6.8" . a ; "information technology"; "22.65625"; "2.9" . a ; "Education"; "Education" . a ; "MPI operation"; "12.607099143206854"; "10.3" . a ; "different Message Passing Inerface"; "7.099143206854345"; "5.8" . a ; "benchmark"; "23.60902255639098"; "15.7" . a ; "benchmark"; "22.045855379188712"; "12.5" . a ; "Tromsø"; . a ; "micro"; "21.804511278195488"; "14.5" . a ; "microcomputer"; "23.809523809523807"; "13.5" . a , , ; ; "https://doi.org/10.5281/zenodo.10307603"; ; "2024-01-11 12:55:59.876896+00:00"; "2024-01-11 12:56:00.628531+00:00"; ; "https://doi.org/10.5281/zenodo.10307603"; "2024-01-11 12:55:59.876896+00:00" . a , , ; ; "https://doi.org/10.5281/zenodo.10316689"; ; "2024-01-11 12:57:43.731992+00:00"; "2024-01-11 12:57:44.544155+00:00"; ; "https://doi.org/10.5281/zenodo.10316689"; "2024-01-11 12:57:43.731992+00:00" . a , , , ; ; ; 6035; "https://api.rohub.org/api/ros/13dfbe3b-3132-4089-9ec9-5ae100fb143c/crate/download/"; ; "2024-01-11 12:54:17.949857+00:00"; "2026-04-13 09:37:49.860760+00:00"; "2024-01-11 12:54:17.949857+00:00"; "\"While computer science papers frequently include their associated code repositories, establishing a clear link between papers and their corresponding implementations can be challenging due to the number of code repositories used by research publications. In this paper we describe a lightweight method for effectively identifying bidirectional links between papers and repositories from both LaTeX and PDF sources. We have used our approach to analyze more than 14000 PDF and Latex files in the Software Engineering category of Arxiv, generating a dataset of more than 1400 paper-code implementations and assessing current citation practices on it."; "application/ld+json"; , , , , ; "https://w3id.org/ro-id/13dfbe3b-3132-4089-9ec9-5ae100fb143c"; ; "Bidirectional Paper-Repository Tracing in Software Engineering"; "MANUAL"; , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ; "https://w3id.org/ro/terms/earth-science#DataCentricResearchObjectTemplate"; "GONZALEZ GUARDIA, ESTEBAN. \"Bidirectional Paper-Repository Tracing in Software Engineering.\" ROHub. Jan 11 ,2024. https://w3id.org/ro-id/13dfbe3b-3132-4089-9ec9-5ae100fb143c." . a , ; "raw data" . a , ; "biblio" . a , ; "metadata" . a , ; ; "data" . a ; dct:conformsTo ; . a ; "software engineering category"; "19.25820256776034"; "13.5" . a ; "none" . a ; "none" . a ; "Methodology"; . a ; "Key Type Measures"; . a ; "Institutional: Economic" . a ; "dataset"; "10.147991543340382"; "9.6" . a ; "paper-code implementation"; "11.982881597717546"; "8.4" . a ; "none" . a ; "software engineering"; "15.942028985507246"; "11.0" . a ; "code repository"; "33.38088445078459"; "23.4" . a ; "Knowledge Sector (EEA)"; . a ; "Funding"; . a ; "software engineering"; "10.465116279069768"; "9.9" . a ; "Not reported/ Unknown" . a ; "Physical and Technological" . a ; "Bidirectional Paper-Repository Tracing in Software Engineering \"While computer science papers frequently include their associated code repositories, establishing a clear link between papers and their corresponding implementations can be challenging due to the number of code repositories used by research publications."; "42.08416833667334"; "42.0" . a ; "research publication"; "13.552068473609129"; "9.5" . a ; "Engineering" . a ; "none" . a ; "repository"; "18.49894291754757"; "17.5" . a ; "Climate-ADAPT Adaptation Sectors"; . a ; "paper"; "5.073995771670191"; "4.8" . a ; "repository"; "28.405797101449277"; "19.6" . a ; "dataset"; "11.594202898550725"; "8.0" . a ; "Academia/ Research Institutions" . a ; "Policy Scale"; . a ; "computer programming"; "28.94736842105263"; "5.5" . a ; "composition"; "8.879492600422834"; "8.4" . a ; "category"; "4.2283298097251585"; "4.0" . a ; "IPCC"; . a ; "publication"; "7.826086956521739"; "5.4" . a ; "Manufacturing and engineering"; "Economy, business and finance/Economic sector/Manufacturing and engineering" . a ; "computer science"; "13.333333333333332"; "9.2" . a ; "computer science"; "8.879492600422834"; "8.4" . a ; "In this paper we describe a lightweight method for effectively identifying bidirectional links between papers and repositories from both LaTeX and PDF sources."; "34.969939879759515"; "34.9" . a ; "newspaper"; "5.602536997885835"; "5.3" . a ; "No policy or regulation" . a ; "none" . a ; "LaTeX"; "3.1712473572938693"; "3.0" . a ; "IT-computer sciences"; "Science and technology/Technology and engineering/IT-computer sciences" . a ; "implementation"; "9.565217391304348"; "6.6" . a ; "Geographical Scope"; . a ; "Climate Hazard"; . a ; "publication"; "5.2854122621564485"; "5.0" . a ; "computer science"; "47.89473684210526"; "9.1" . a ; "implementation"; "6.342494714587739"; "6.0" . a ; "User Needs (RAST)"; . a ; "research"; "4.7568710359408035"; "4.5" . a ; "citation"; "3.594080338266385"; "3.4" . a ; "computer science paper"; "21.825962910128386"; "15.3" . a ; "none" . a ; "Stakeholders"; . a ; "We have used our approach to analyze more than 14000 PDF and Latex files in the Software Engineering category of Arxiv, generating a dataset of more than 1400 paper-code implementations and assessing current citation practices on it."; "22.94589178356713"; "22.9" . a ; "paper"; "13.333333333333332"; "9.2" . a ; "Engineering (General)" . a ; "database"; "23.15789473684211"; "4.4" . a ; "ESTEBAN GONZALEZ GUARDIA" . a ; ""; "Physical sciences" . a , , , ; ; ; 89561; "https://api.rohub.org/api/ros/3ec0b51b-0346-4ed8-b731-de744dd3bee2/crate/download/"; ; "2024-01-24 18:20:54.288838+00:00"; "2025-10-16 12:45:34.548024+00:00"; "2024-01-24 18:20:54.288838+00:00"; "Datasets used in the manuscript CMST 29(1-4) 37-44 (2023) DOI:10.12921/cmst.2023.0000023"; "application/ld+json"; , , , ; "https://w3id.org/ro-id/3ec0b51b-0346-4ed8-b731-de744dd3bee2"; "Monte Carlo method", "auxetics", "hard sphere system"; ; "Data management plan"; """The f.c.c. Crystals of Hard Spheres with an Array of [001]-Nanochannel Inclusions Filled by the Simplest Hard Sphere Molecules"""; "MANUAL"; , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ; "https://w3id.org/ro/terms/earth-science#DataCentricResearchObjectTemplate"; """Narojczyk, Jakub. \"The f.c.c. Crystals of Hard Spheres with an Array of [001]-Nanochannel Inclusions Filled by the Simplest Hard Sphere Molecules.\" ROHub. Jan 24 ,2024. https://w3id.org/ro-id/3ec0b51b-0346-4ed8-b731-de744dd3bee2.""" . a , ; "metadata" . a , ; "raw data" . a , ; "biblio" . a , ; , , , , , ; "data" . a , , ; ; 13200; "https://api.rohub.org/api/resources/3b70d877-b722-4108-9f2c-13ffded4a078/download/"; ; "2024-01-24 18:35:11.506674+00:00"; "2024-01-24 18:35:14.265417+00:00"; "This data sheet contains data used in the manuscript. The data concerns systems of f.c.c. hard spheres with size C1 [001]-nanochannel filled with hard dimers formed by spheres of diferent diameter (equal to sigma’). The length of the dimers is equal to sigma (L=sigma)."; "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"; ; "Data for systems with C1 dimer nanochannel L=sigma"; "2024-01-24 18:35:11.506674+00:00" . a , , ; ; 14598; "https://api.rohub.org/api/resources/50315613-3195-4d1a-ac95-7906506466e8/download/"; ; "2024-01-24 18:33:22.989042+00:00"; "2024-01-24 18:33:25.641151+00:00"; "This data sheet contains reference data used in the manuscript. The data concerns systems of f.c.c. hard spheres with size C2 [001]-nanochannel filled with hard spheres of diferent diameter (equal to sigma’)"; "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"; ; "Data for reference system C2"; "2024-01-24 18:33:22.989042+00:00" . a , , ; ; 13412; "https://api.rohub.org/api/resources/83cf1e74-8269-4e22-ab04-f0e823186300/download/"; ; "2024-01-24 18:36:12.053770+00:00"; "2024-01-24 18:36:14.478015+00:00"; "This data sheet contains data used in the manuscript. The data concerns systems of f.c.c. hard spheres with size C2 [001]-nanochannel filled with hard dimers formed by spheres of diferent diameter (equal to sigma’). The length of the dimers is equal to sigma (L=sigma)."; "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"; ; "Data for systems with C2 dimer nanochannel L=sigma"; "2024-01-24 18:36:12.053770+00:00" . a , , ; ; 12965; "https://api.rohub.org/api/resources/a566b59a-255d-4983-ab55-3ae88c3f9356/download/"; ; "2024-01-24 18:31:01.550464+00:00"; "2024-01-24 18:39:33.611026+00:00"; "This data sheet contains reference data used in the manuscript. 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Instead, the entire corpus is accessible through a knowledge graph in Turtle (.ttl) format, with each text being linked separately. The repository contains code to download all corpus texts independently. An explanation of the code can be found in the Data section."""; "application/ld+json"; , , , , , ; "https://w3id.org/ro-id/5930c9e6-8f23-4c8c-9b1b-84d55deaaf00"; "Corpora", "LinkedOpenData", "LiteraryStudies", "Ontology"; ; "Annotation Collection"; "Korpus 19-20MetaPNC"; "MANUAL"; , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ; "https://w3id.org/ro/terms/earth-science#DataCentricResearchObjectTemplate"; "Hubar-Kołodziejczyk, Patryk. \"Korpus 19-20MetaPNC.\" ROHub. 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Wskaż na mapie stację pomiarową, przejrzyj aktualne informacje o poziomie stężenia zanieczyszczeń i zapoznaj się z zaleceniami dotyczącymi ochrony Twojego zdrowia."""; ; "Warszawska Platforma IoT"; "2026-01-15 10:02:54.788955+00:00" . a ; ; "ba147b47-b1df-406d-a3cc-bfd9af963ed5"; "POINT (21.007713326253 52.234864715699715)" . a ; "21.007713326253"; "52.234864715699715"; "POINT (21.007713326253 52.234864715699715)" . a , , , ; ; , , ; ; ; 0; "https://api.rohub.org/api/ros/d006ed2d-2fa9-438d-b830-a7d4aef81469/crate/download/"; ; ; "2026-01-15 09:36:30.138049+00:00"; "2026-04-11 03:22:17.313678+00:00"; "2026-01-15 09:36:30.138049+00:00"; "Projekt analizuje jakość powietrza w Warszawie, koncentrując się na wartości stężeń pyłów zawieszonych PM2.5 i PM10 oraz ich wpływie na zdrowie ludzi. W ramach projektu gromadzone są raporty i dane pomiarowe z lokalnych narzędzi monitoringu, a następnie są one porównywane z normami Światowej Organizacji Zdrowia (WHO). Badanie uwzględnia różne dni, pory dnia i miejsca pomiarów na terenie całego miasta Warszawy oraz identyfikuje możliwe przyczyny i skutki przekroczenia dopuszczalnych poziomów zanieczyszczeń."; "application/ld+json"; , , , ; "https://w3id.org/ro-id/d006ed2d-2fa9-438d-b830-a7d4aef81469"; "Air Quality", "Environment", "Monitoring", "PM10", "PM2.5", "Warsaw"; ; "Dataset"; "Jakość powietrza w Warszawie — analiza stężeń PM2.5 i PM10 oraz ich przekroczeń"; ; "MANUAL"; , , , , , , , , , , , , , , , , , , , , , , , , , , ; ; "Janek Gębicki"; "https://w3id.org/ro/terms/earth-science#DataCentricResearchObjectTemplate"; "Gębicki, Janek, and Janek Gębicki. \"Jakość powietrza w Warszawie — analiza stężeń PM2.5 i PM10 oraz ich przekroczeń.\" ROHub. 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Nie przedstawiają rzeczywistych pomiarów, ale odzwierciedlają realistyczne trendy sezonowe i dobowe jakości powietrza w Warszawie."; "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"; ; "Jakość powietrza Warszawa - dane"; "2026-01-15 10:08:30.311996+00:00" . a , , ; ; 364153; "https://api.rohub.org/api/resources/28481e37-3b7d-463e-aa51-da710e432904/download/"; ; "2026-01-15 09:50:01.944724+00:00"; "2026-01-15 09:50:04.071778+00:00"; """Ocena jakości powietrza jest bardzo złożonym zagadnieniem, na które wpływa bardzo wiele czynników natury środowiskowej jak i antropogenicznej. Aby określić czy, a jeśli tak to, w jaki sposób pandemia przełożyła się na jakość powietrza w Warszawie, należy wyodrębnić główne czynniki, które przyczyniają się do zmian poziomu zanieczyszczenia powietrza."""; "application/pdf"; "Air Quality", "PM2.5"; ; "Jakość powietrza - raport COVIDOVY"; "2026-01-15 09:50:01.944724+00:00" . a , , ; ; 36906127; "https://api.rohub.org/api/resources/98fe4e3c-4b90-4e25-9752-c314a6cb3938/download/"; ; "2026-01-15 09:51:41.659860+00:00"; "2026-01-15 09:51:44.977381+00:00"; """Celem niniejszego raportu jest prezentacja danych z pomiarów stężenia pyłu zawieszonego PM2,5 zebranych w ramach projektu Poszukiwacze Powietrza, zainicjowanego przez Warszawski Alarm Smogowy przy udziale Partnerów w 2019 r. Jego celem jest upowszechnianie wiedzy o skali i źródłach zanieczyszczenia powietrza w Warszawie dzięki rozbudowie sieci obywatelskich czujników smogu Sensor Community (S.C.). Czujniki dokonują pomiarów stężenia pyłu zawieszonego odpowiednio o średnicy nie większej niż 10 i 2,5 mm. Zebrane dane są publicznie dostępne, pozwalając na lepsze zrozumienie problemu zanieczyszczenia powietrza."""; "application/pdf"; "Air Quality", "PM10", "PM2.5"; ; """ANALIZA ZANIECZYSZCZENIA POWIETRZA PYŁEM ZAWIESZONYM PM2,5 W WARSZAWIE Z WYKORZYSTANIEM SIECI OBYWATELSKICH CZUJNIKÓW SMOGU"""; "2026-01-15 09:51:41.659860+00:00" . a , , ; ; 43507; "https://api.rohub.org/api/resources/e3dd7d26-f36f-4a82-b4f0-f8d1f081502c/download/"; ; "2026-01-15 09:45:53.134501+00:00"; "2026-01-15 10:04:13.680897+00:00"; "image/jpeg"; ; "zanieczyszczenie.jpg"; "2026-01-15 09:45:53.134501+00:00" . a ; dct:conformsTo ; . a ; "Key Type Measures"; . a ; "Aerospace medicine" . a ; "Space sciences (General)" . a ; "Geographical Scope"; . a ; "Identification of risks" . a ; "Climate Hazard"; . a ; "Not reported/ Unknown" . a ; "Astronomy" . a ; "none" . a ; "Physical Sciences" . a ; "Methodology"; . a ; "Funding"; . a ; "Life sciences" . a ; "Physical and Technological" . a ; "Theoretical and Computational Chemistry" . a ; "Astronautics" . a ; "User Needs (RAST)"; . a ; "Stakeholders"; . a ; "Physics" . a ; "Mathematical Sciences" . a ; "Systemic Literature Review" . a ; "Portugal" . a ; "Quantum Physics" . a ; "Astronautics (General)" . a ; "Physics (General)" . a ; "none" . a ; "IPCC"; . a ; "Local policy" . a ; "Mathematical Physics" . a ; "Policy Scale"; . a ; "Structural/physical: Ecosystem-based" . a ; "Knowledge Sector (EEA)"; . a ; "Climate-ADAPT Adaptation Sectors"; . a ; "Individuals or citizens" . a ; "Chemical Sciences" . a ; "Space sciences" . a ; "Other Physical Sciences" . a ; "Climate change mitigation: reducing emissions" . a , ; "j.gebicki@student.uw.edu.pl"; "Janek Gębicki" . a , , , ; "", "", "", ""; "Earth sciences", "Earth sciences", "Earth sciences", "Earth sciences" . a ; ""; "Climatology" . a , , ; ; "https://doi.org/10.5281/zenodo.19112545"; ; "2026-03-20 13:30:17.698601+00:00"; "2026-03-20 13:30:20.023982+00:00"; "Floodlevels in increments of 10 cm ranging from 30 cm to 100cm."; ; "Hamburg Floodlevels"; "2026-03-20 13:30:17.698601+00:00" . a , , , ; , ; ; 0; "https://api.rohub.org/api/ros/24165a93-ac0d-46ef-98a7-046e6d5a287e/crate/download/"; ; "2026-03-20 13:26:33.130248+00:00"; "2026-03-27 10:38:55.226794+00:00"; "2026-03-20 13:26:33.130248+00:00"; "Floodlevels in increments of 10 cm ranging from 30 cm to 100cm."; "application/ld+json"; , , , ; "https://w3id.org/ro-id/24165a93-ac0d-46ef-98a7-046e6d5a287e"; "Hamburg", "flood levels", "pluvial flood risk"; ; "Hamburg Floodlevels"; "MANUAL"; , , , , , , , , , , , , , , , , , , , , , , ; "https://w3id.org/ro/terms/earth-science#DataCentricResearchObjectTemplate"; "GONZALEZ GUARDIA, ESTEBAN. \"Hamburg Floodlevels.\" ROHub. 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Nov 09 ,2021. https://doi.org/10.24424/zt8j-c157." . a , ; "List of hourly PM10 concentration data for September 1st 2018 over Europe"; "Index of daily PM10 concentration for September 1st 2018" . a , ; ; "https://zenodo.org/record/5554786#.YYlWo9nMI-Q"; ; "2021-11-09 15:52:03.894247+00:00"; "2021-11-10 19:38:07.510465+00:00"; ; "https://zenodo.org/record/5554786#.YYlWo9nMI-Q"; "2021-11-09 15:52:03.894247+00:00" . a , ; """This dataset provides daily air quality analyses and forecasts for Europe. CAMS 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. 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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" . a , ; "CNR-ISMAR", "CNR-ISMAR"; "malek.belgacem@ve.ismar.cnr.it", "malek.belgacem@ve.ismar.cnr.it"; "Malek Belgacem", "Malek Belgacem"; "0000-0003-0745-4155", "0000-0003-0745-4155" . a ; "case study"; "4.890738813735692"; "4.7" . a ; "Adriatic Sea"; . a ; "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" . a ; ; "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))" . a , , , , ; , , ; , , ; ; 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. 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Dec 08 ,2021. https://doi.org/10.24424/fehe-jb26." . a , ; "metadata" . a , ; "data" . a , ; ; "biblio" . a , ; "raw data" . a , ; ; "https://reliance-das.adamplatform.eu/opensearch/search?datasetId=EU_CAMS_SURFACE_PM10_G&startDate=2018-09-01&endDate=2018-09-01"; ; "2021-12-08 21:44:49.477592+00:00"; "2021-12-08 22:01:19.894769+00:00"; ; "https://reliance-das.adamplatform.eu/opensearch/search?datasetId=EU_CAMS_SURFACE_PM10_G&startDate=2018-09-01&endDate=2018-09-01"; "2021-12-08 21:44:49.477592+00:00" . a , ; "Flow to compute monthly map" . a , ; ; 73394; "https://api.rohub.org/api/resources/25e31ee1-9f77-40d0-a4c3-5bef88b9adc3/download/"; ; "2021-12-08 21:44:36.949407+00:00"; "2021-12-08 22:01:19.428175+00:00"; "image/png"; ; "flow-dcro.png"; "2021-12-08 21:44:36.949407+00:00" . a , ; """This dataset provides daily air quality analyses and forecasts for Europe. CAMS 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. Note 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" . a , ; ; "https://reliance-das.adamplatform.eu/opensearch/datasets?datasetId=EU_CAMS_SURFACE_PM10_G"; ; "2021-12-08 21:44:42.801819+00:00"; "2021-12-08 22:01:19.788776+00:00"; ; "https://reliance-das.adamplatform.eu/opensearch/datasets?datasetId=EU_CAMS_SURFACE_PM10_G"; "2021-12-08 21:44:42.801819+00:00" . a , ; ; "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"; ; "2021-12-08 21:44:46.533341+00:00"; "2021-12-08 22:01:20.217111+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"; "2021-12-08 21:44:46.533341+00:00" . a , ; "List of hourly PM10 concentration data for September 1st 2018 over Europe"; "Index of daily PM10 concentration for September 1st 2018" . a , ; "Catch data records sample from 2019"; "Catch data from Norway" . a , ; ; "https://zenodo.org/record/5554786/files/RELIANCE-Datacube-featuring-EOSC_v0.2.ipynb"; ; "2021-12-08 21:44:52.711669+00:00"; "2023-05-16 16:52:12.400121+00:00"; ; "https://zenodo.org/record/5554786/files/RELIANCE-Datacube-featuring-EOSC_v0.2.ipynb"; "2021-12-08 21:44:52.711669+00:00" . a , ; "Daily PM10 concentration for 1st September 2018 over Europe"; "Daily PM10 concentration" . a , ; ; "https://box.psnc.pl/f/d90a0e1e0d/?raw=1"; ; "2021-12-08 21:44:55.989277+00:00"; "2021-12-08 22:01:19.992473+00:00"; ; "https://box.psnc.pl/f/d90a0e1e0d/?raw=1"; "2021-12-08 21:44:55.989277+00:00" . a , ; "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" . a ; dct:conformsTo ; . a , , , ; "Nordic e-Infrastructure Collaboration (NeIC)", "Nordic e-Infrastructure Collaboration (NeIC)", "Nordic e-Infrastructure Collaboration (NeIC)", "Nordic e-Infrastructure Collaboration (NeIC)"; "annefou@geo.uio.no", "annefou@geo.uio.no", "annefou@geo.uio.no", "annefou@geo.uio.no"; "Anne Fouilloux", "Anne Fouilloux", "Anne Fouilloux", "Anne Fouilloux" . a , ; "neworg1@example.org", "neworg1@example.org"; "abcd123", "abcd123"; "Example Org 1", "Example Org 1" . a , , ; "published v2", "published v2", "published v2" . a ; "38.0"; "38.0"; "POINT (38.0 38.0)" . a ; ; "6aa2b88b-ca50-4d9b-81fb-b18cf3b25d74"; "POINT (38.0 38.0)" . a ; "service-account-enrichment" . a , , , , ; "False"; "https://w3id.org/ro-id/9177a694-e747-4d7f-ae7e-87672850e0ec"; "2021-12-08 22:04:49.342182+00:00"; "mailto:rpalma@man.poznan.pl"; ; , ; ; 86622; "https://api.rohub.org/api/ros/c737f695-6715-4916-8bef-8fc0ce879760/crate/download/"; ; ; ; "2021-12-08 21:40:02.447472+00:00"; "2024-03-05 12:17:25.629746+00:00"; "2021-12-08 21:40:02.447472+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/c737f695-6715-4916-8bef-8fc0ce879760"; ; "8th December - Copernicus Atmosphere Monitoring Service Data Cube Research Object - snapshot", "Copernicus Atmosphere Monitoring Service Data Cube RO December 8th - published v2"; ; "MANUAL"; "https://w3id.org/ro-id/c737f695-6715-4916-8bef-8fc0ce879760/df4db37c-7304-430d-b08e-ba41cdc33e9e"; "Anne Foilloux, Nieves Pepito, and Pepito Bato. \"Copernicus Atmosphere Monitoring Service Data Cube RO December 8th - published v2.\" ROHub. Dec 08 ,2021. http://doi.org/10.23728/b2share.3c82435c669b49fcaa5541b465e055fa." . a , ; ; "biblio" . a , ; "data" . a , ; "raw data" . a , ; "metadata" . a , ; ; "https://box.psnc.pl/f/d90a0e1e0d/?raw=1"; ; "2021-12-08 21:44:55.989277+00:00"; "2021-12-08 22:04:44.732746+00:00"; ; "https://box.psnc.pl/f/d90a0e1e0d/?raw=1"; "2021-12-08 21:44:55.989277+00:00" . a , ; "Flow to compute monthly map" . a , ; ; "https://reliance-das.adamplatform.eu/opensearch/datasets?datasetId=EU_CAMS_SURFACE_PM10_G"; ; "2021-12-08 21:44:42.801819+00:00"; "2021-12-08 22:04:44.543287+00:00"; ; "https://reliance-das.adamplatform.eu/opensearch/datasets?datasetId=EU_CAMS_SURFACE_PM10_G"; "2021-12-08 21:44:42.801819+00:00" . a , ; ; 73394; "https://api.rohub.org/api/resources/287efd15-0bd1-474d-88c2-4542e1393d8d/download/"; ; "2021-12-08 21:44:36.949407+00:00"; "2021-12-08 22:04:44.160524+00:00"; "image/png"; ; "flow-dcro.png"; "2021-12-08 21:44:36.949407+00:00" . a , ; """This dataset provides daily air quality analyses and forecasts for Europe. CAMS 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. Note 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" . a , ; "List of hourly PM10 concentration data for September 1st 2018 over Europe"; "Index of daily PM10 concentration for September 1st 2018" . a , ; ; "https://zenodo.org/record/5554786/files/RELIANCE-Datacube-featuring-EOSC_v0.2.ipynb"; ; "2021-12-08 21:44:52.711669+00:00"; "2023-05-16 16:53:21.645987+00:00"; ; "https://zenodo.org/record/5554786/files/RELIANCE-Datacube-featuring-EOSC_v0.2.ipynb"; "2021-12-08 21:44:52.711669+00:00" . a , ; "Catch data records sample from 2019"; "Catch data from Norway" . a , ; "Daily PM10 concentration for 1st September 2018 over Europe"; "Daily PM10 concentration" . a , ; ; "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"; ; "2021-12-08 21:44:46.533341+00:00"; "2021-12-08 22:04:44.869071+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"; "2021-12-08 21:44:46.533341+00:00" . a , ; ; "https://reliance-das.adamplatform.eu/opensearch/search?datasetId=EU_CAMS_SURFACE_PM10_G&startDate=2018-09-01&endDate=2018-09-01"; ; "2021-12-08 21:44:49.477592+00:00"; "2021-12-08 22:04:44.654574+00:00"; ; "https://reliance-das.adamplatform.eu/opensearch/search?datasetId=EU_CAMS_SURFACE_PM10_G&startDate=2018-09-01&endDate=2018-09-01"; "2021-12-08 21:44:49.477592+00:00" . a , ; "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" . a ; dct:conformsTo ; . a , , ; "10.13039/501100000781", "10.13039/501100000781", "10.13039/501100000781"; "European Commission", "European Commission", "European Commission" . a , , ; , , ; "101017502", "101017502", "101017502"; "RELIANCE", "RELIANCE", "RELIANCE"; "Research Lifecycle Management for Earth Science Communities and Copernicus Users", "Research Lifecycle Management for Earth Science Communities and Copernicus Users", "Research Lifecycle Management for Earth Science Communities and Copernicus Users" . a , , , ; "POINT (38.0 38.0)", "POINT (38.0 38.0)" . a , . a ; ; "0a113f7e-5c4d-411e-985e-2d71e8dcbd28"; "POINT (38.0 38.0)" . a ; "38.0"; "38.0"; "POINT (38.0 38.0)" . a ; "service-account-enrichment" . a , , , , ; "False"; "https://w3id.org/ro-id/93ece8d0-3be4-4658-a840-156bda47f612"; "2021-12-09 15:19:11.307501+00:00"; "mailto:rpalma@man.poznan.pl"; ; , ; ; 87394; "https://api.rohub.org/api/ros/a08ddcb2-ae5f-40ba-b1b6-c64dd2e4d68c/crate/download/"; ; ; ; "2021-12-09 15:05:57.255344+00:00"; "2024-03-05 12:17:25.978567+00:00"; "2021-12-09 15:05:57.255344+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/a08ddcb2-ae5f-40ba-b1b6-c64dd2e4d68c"; ; "8th December - Copernicus Atmosphere Monitoring Service Data Cube Research Object - snapshot", "Copernicus Atmosphere Monitoring Service Data Cube RO December 9th - published v1"; ; "MANUAL"; "https://w3id.org/ro-id/a08ddcb2-ae5f-40ba-b1b6-c64dd2e4d68c/ea782618-0dff-4cfa-8604-e121ce29d3cf"; "Anne Foilloux, Nieves Pepito, and Pepito Bato. \"Copernicus Atmosphere Monitoring Service Data Cube RO December 9th - published v1.\" ROHub. Dec 09 ,2021. https://doi.org/10.24424/w44h-8089." . a , ; "metadata" . a , ; "data" . a , ; ; "biblio" . a , ; "raw data" . a , ; ; "https://reliance-das.adamplatform.eu/opensearch/search?datasetId=EU_CAMS_SURFACE_PM10_G&startDate=2018-09-01&endDate=2018-09-01"; ; "2021-12-09 15:07:51.036076+00:00"; "2021-12-09 15:19:08.564064+00:00"; ; "https://reliance-das.adamplatform.eu/opensearch/search?datasetId=EU_CAMS_SURFACE_PM10_G&startDate=2018-09-01&endDate=2018-09-01"; "2021-12-09 15:07:51.036076+00:00" . a , ; "List of hourly PM10 concentration data for September 1st 2018 over Europe"; "Index of daily PM10 concentration for September 1st 2018" . a , ; ; "https://reliance-das.adamplatform.eu/opensearch/datasets?datasetId=EU_CAMS_SURFACE_PM10_G"; ; "2021-12-09 15:07:43.448712+00:00"; "2021-12-09 15:19:08.515865+00:00"; ; "https://reliance-das.adamplatform.eu/opensearch/datasets?datasetId=EU_CAMS_SURFACE_PM10_G"; "2021-12-09 15:07:43.448712+00:00" . a , ; "Flow to compute monthly map" . a , ; ; "https://zenodo.org/record/5554786/files/RELIANCE-Datacube-featuring-EOSC_v0.2.ipynb"; ; "2021-12-09 15:07:55.588569+00:00"; "2023-05-16 16:54:04.603729+00:00"; ; "https://zenodo.org/record/5554786/files/RELIANCE-Datacube-featuring-EOSC_v0.2.ipynb"; "2021-12-09 15:07:55.588569+00:00" . a , ; "Daily PM10 concentration for 1st September 2018 over Europe"; "Daily PM10 concentration" . a , ; ; 73394; "https://api.rohub.org/api/resources/7733e68b-7b14-45b8-96ef-b0ff1e3b6a45/download/"; ; "2021-12-09 15:07:22.892363+00:00"; "2021-12-09 15:19:08.338406+00:00"; "image/png"; ; "flow-dcro.png"; "2021-12-09 15:07:22.892363+00:00" . a , ; "Catch data records sample from 2019"; "Catch data from Norway" . a , ; """This dataset provides daily air quality analyses and forecasts for Europe. CAMS 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. Note 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" . a , ; ; "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"; ; "2021-12-09 15:07:47.272247+00:00"; "2021-12-09 15:19:08.713366+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"; "2021-12-09 15:07:47.272247+00:00" . a , ; "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" . a , ; ; "https://box.psnc.pl/f/d90a0e1e0d/?raw=1"; ; "2021-12-09 15:07:59.055468+00:00"; "2021-12-09 15:19:08.607528+00:00"; ; "https://box.psnc.pl/f/d90a0e1e0d/?raw=1"; "2021-12-09 15:07:59.055468+00:00" . a ; dct:conformsTo ; . a , ; "neworg2@example.org", "neworg2@example.org"; "abcd123", "abcd123"; "Example Org 2", "Example Org 2" . a ; "38.0"; "38.0"; "POINT (38.0 38.0)" . a ; ; "86a33d62-4541-495f-a640-2b60e0394266"; "POINT (38.0 38.0)" . a ; "service-account-enrichment" . a , , , , ; "False"; "https://w3id.org/ro-id/93ece8d0-3be4-4658-a840-156bda47f612"; "2021-12-09 15:20:23.441762+00:00"; "mailto:rpalma@man.poznan.pl"; ; , ; ; 87383; "https://api.rohub.org/api/ros/57cf76e1-2179-4650-b48b-b5990dca86c1/crate/download/"; ; ; ; "2021-12-09 15:05:57.255344+00:00"; "2024-03-05 12:17:26.248043+00:00"; "2021-12-09 15:05:57.255344+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/57cf76e1-2179-4650-b48b-b5990dca86c1"; ; "8th December - Copernicus Atmosphere Monitoring Service Data Cube Research Object - snapshot", "Copernicus Atmosphere Monitoring Service Data Cube RO December 9th - published v2"; ; "MANUAL"; "https://w3id.org/ro-id/57cf76e1-2179-4650-b48b-b5990dca86c1/ea782618-0dff-4cfa-8604-e121ce29d3cf"; "Anne Foilloux, Nieves Pepito, and Pepito Bato. \"Copernicus Atmosphere Monitoring Service Data Cube RO December 9th - published v2.\" ROHub. Dec 09 ,2021. https://doi.org/10.24424/yptf-km76." . a , ; ; "biblio" . a , ; "metadata" . a , ; "raw data" . a , ; "data" . a , ; "List of hourly PM10 concentration data for September 1st 2018 over Europe"; "Index of daily PM10 concentration for September 1st 2018" . a , ; ; "https://reliance-das.adamplatform.eu/opensearch/search?datasetId=EU_CAMS_SURFACE_PM10_G&startDate=2018-09-01&endDate=2018-09-01"; ; "2021-12-09 15:07:51.036076+00:00"; "2021-12-09 15:20:20.634446+00:00"; ; "https://reliance-das.adamplatform.eu/opensearch/search?datasetId=EU_CAMS_SURFACE_PM10_G&startDate=2018-09-01&endDate=2018-09-01"; "2021-12-09 15:07:51.036076+00:00" . a , ; ; "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"; ; "2021-12-09 15:07:47.272247+00:00"; "2021-12-09 15:20:20.738000+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"; "2021-12-09 15:07:47.272247+00:00" . a , ; ; "https://reliance-das.adamplatform.eu/opensearch/datasets?datasetId=EU_CAMS_SURFACE_PM10_G"; ; "2021-12-09 15:07:43.448712+00:00"; "2021-12-09 15:20:20.597858+00:00"; ; "https://reliance-das.adamplatform.eu/opensearch/datasets?datasetId=EU_CAMS_SURFACE_PM10_G"; "2021-12-09 15:07:43.448712+00:00" . a , ; "Flow to compute monthly map" . a , ; "Daily PM10 concentration for 1st September 2018 over Europe"; "Daily PM10 concentration" . a , ; ; "https://box.psnc.pl/f/d90a0e1e0d/?raw=1"; ; "2021-12-09 15:07:59.055468+00:00"; "2021-12-09 15:20:20.669306+00:00"; ; "https://box.psnc.pl/f/d90a0e1e0d/?raw=1"; "2021-12-09 15:07:59.055468+00:00" . a , ; ; 73394; "https://api.rohub.org/api/resources/7bfd4974-4bf8-4922-ae40-36a2ca9ef7fe/download/"; ; "2021-12-09 15:07:22.892363+00:00"; "2021-12-09 15:20:20.444066+00:00"; "image/png"; ; "flow-dcro.png"; "2021-12-09 15:07:22.892363+00:00" . a , ; "Catch data records sample from 2019"; "Catch data from Norway" . a , ; """This dataset provides daily air quality analyses and forecasts for Europe. CAMS 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. Note 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" . a , ; ; "https://zenodo.org/record/5554786/files/RELIANCE-Datacube-featuring-EOSC_v0.2.ipynb"; ; "2021-12-09 15:07:55.588569+00:00"; "2023-05-16 16:54:33.185954+00:00"; ; "https://zenodo.org/record/5554786/files/RELIANCE-Datacube-featuring-EOSC_v0.2.ipynb"; "2021-12-09 15:07:55.588569+00:00" . a , ; "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" . a ; dct:conformsTo ; . a ; ; "56289eeb-73b2-4076-852c-6bf6fee8f381"; "POINT (38.0 38.0)" . a ; "38.0"; "38.0"; "POINT (38.0 38.0)" . a ; "service-account-enrichment" . a , , , , ; "False"; "https://w3id.org/ro-id/93ece8d0-3be4-4658-a840-156bda47f612"; "2021-12-09 15:24:39.649872+00:00"; "mailto:rpalma@man.poznan.pl"; ; , ; ; 87396; "https://api.rohub.org/api/ros/6440c36b-44c8-48c5-9a2a-a3c47de70c8a/crate/download/"; ; ; ; "2021-12-09 15:05:57.255344+00:00"; "2024-03-05 12:17:26.121572+00:00"; "2021-12-09 15:05:57.255344+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/6440c36b-44c8-48c5-9a2a-a3c47de70c8a"; ; "8th December - Copernicus Atmosphere Monitoring Service Data Cube Research Object - snapshot", "Copernicus Atmosphere Monitoring Service Data Cube RO December 9th - published v2"; ; "MANUAL"; "https://w3id.org/ro-id/6440c36b-44c8-48c5-9a2a-a3c47de70c8a/ea782618-0dff-4cfa-8604-e121ce29d3cf"; "Anne Foilloux, Nieves Pepito, and Pepito Bato. \"Copernicus Atmosphere Monitoring Service Data Cube RO December 9th - published v2.\" ROHub. Dec 09 ,2021. https://doi.org/10.24424/80ze-vx74." . a , ; ; "biblio" . a , ; "data" . a , ; "raw data" . a , ; "metadata" . a , ; "List of hourly PM10 concentration data for September 1st 2018 over Europe"; "Index of daily PM10 concentration for September 1st 2018" . a , ; ; "https://zenodo.org/record/5554786/files/RELIANCE-Datacube-featuring-EOSC_v0.2.ipynb"; ; "2021-12-09 15:07:55.588569+00:00"; "2023-05-16 16:55:20.098335+00:00"; ; "https://zenodo.org/record/5554786/files/RELIANCE-Datacube-featuring-EOSC_v0.2.ipynb"; "2021-12-09 15:07:55.588569+00:00" . a , ; "Flow to compute monthly map" . a , ; "Daily PM10 concentration for 1st September 2018 over Europe"; "Daily PM10 concentration" . a , ; ; "https://box.psnc.pl/f/d90a0e1e0d/?raw=1"; ; "2021-12-09 15:07:59.055468+00:00"; "2021-12-09 15:24:36.452503+00:00"; ; "https://box.psnc.pl/f/d90a0e1e0d/?raw=1"; "2021-12-09 15:07:59.055468+00:00" . a , ; "Catch data records sample from 2019"; "Catch data from Norway" . a , ; """This dataset provides daily air quality analyses and forecasts for Europe. CAMS 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. Note 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" . a , ; ; "https://reliance-das.adamplatform.eu/opensearch/search?datasetId=EU_CAMS_SURFACE_PM10_G&startDate=2018-09-01&endDate=2018-09-01"; ; "2021-12-09 15:07:51.036076+00:00"; "2021-12-09 15:24:36.409139+00:00"; ; "https://reliance-das.adamplatform.eu/opensearch/search?datasetId=EU_CAMS_SURFACE_PM10_G&startDate=2018-09-01&endDate=2018-09-01"; "2021-12-09 15:07:51.036076+00:00" . a , ; ; "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"; ; "2021-12-09 15:07:47.272247+00:00"; "2021-12-09 15:24:36.536458+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"; "2021-12-09 15:07:47.272247+00:00" . a , ; ; "https://reliance-das.adamplatform.eu/opensearch/datasets?datasetId=EU_CAMS_SURFACE_PM10_G"; ; "2021-12-09 15:07:43.448712+00:00"; "2021-12-09 15:24:36.359834+00:00"; ; "https://reliance-das.adamplatform.eu/opensearch/datasets?datasetId=EU_CAMS_SURFACE_PM10_G"; "2021-12-09 15:07:43.448712+00:00" . a , ; "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" . a , ; ; 73394; "https://api.rohub.org/api/resources/fe10d6ac-bc5f-4f26-a4ff-2b617fd1b443/download/"; ; "2021-12-09 15:07:22.892363+00:00"; "2021-12-09 15:24:36.183105+00:00"; "image/png"; ; "flow-dcro.png"; "2021-12-09 15:07:22.892363+00:00" . a ; dct:conformsTo ; . a , ; "POINT (38.0 38.0)" . a . a ; "Nordic e-Infrastructure Collaboration (NeIC)"; "annefou@geo.uio.no"; "Anne Fouilloux" . a ; "neworg2@example.org"; "abcd123"; "Example Org 2" . a , ; "", ""; "Earth sciences", "Earth sciences" . a ; "Fundamental Research Funds for Central Universities" . a ; "European Space Agency (ESA) and Ministry of Science and Technology (MOST), China" . a ; "Natural Science Foundation of China" . a ; "Italian Ministry of University" . a ; "aerospace engineering" . a ; "data at Changbaishan" . a ; "Changbaishan Volcano" . a ; "property of JAXA" . a ; "raw data property" . a ; "soil" . a ; "China" . a ; "North Korea" . a ; "velocity" . a ; "ground velocity" . a ; "file" . a ; "raster file" . a ; "raster" . a ; "Changbaishan" . a ; "JAXA" . a ; "Magma Migration" . a ; "North Korea" . a ; "Interior" . a ; "China" . a ; "Japan" . a ; "INGV"; "cristiano.tolomei@ingv.it"; "Tolomei, Cristiano"; "0000-0001-7378-0712" . a ; ; "-"; "Pianeta Dinamico"; "Working Earth" . a ; ; "42071453"; "-"; "-" . a ; ; "58029"; "Dragon 5"; "Cooperation project" . a ; ; "N2001027"; "-"; "-" . a ; "POLYGON ((127.82938662 41.702706825, 128.35894877 41.702706825, 128.35894877 42.1858125, 127.82938662 42.1858125, 127.82938662 41.702706825))"; "127.82938662 41.702706825, 128.35894877 41.702706825, 128.35894877 42.1858125, 127.82938662 42.1858125, 127.82938662 41.702706825" . a ; ; "dea23d92-11ac-4e7b-87c3-8465437d0bfa"; "POLYGON ((127.82938662 41.702706825, 128.35894877 41.702706825, 128.35894877 42.1858125, 127.82938662 42.1858125, 127.82938662 41.702706825))" . a ; "service-account-enrichment" . a , , , , ; "False"; "https://w3id.org/ro-id/677cf91e-880d-485a-b027-30ba523dac73"; "2021-12-13 17:51:45.412526+00:00"; "https://orcid.org/0000-0002-2983-045X"; ; ; ; 5016613; "https://api.rohub.org/api/ros/61bceafe-5b48-4548-8caf-4142153b1b1b/crate/download/"; ; ; "2021-12-13 17:49:07.069454+00:00"; "2024-03-05 12:19:21.893221+00:00"; "2021-12-13 17:49:07.069454+00:00"; "This Research Object contains the raster file of the mean ground velocity at the Changbaishan Volcano (China/North Korea) from ALOS-2 satellite data during 2018-2020. Find more on processing and results in the related paper: 'Upward Magma Migration within the Multi-level Plumbing System of the Changbaishan Volcano (China/North Korea) Revealed by the Modeling of 2018-2020 SAR Data' by E. Trasatti, C. Tolomei, L. Wei, G. Ventura. DOI: 10.3389/feart.2021.741287 . Raw data property of JAXA (Japan)."; "application/ld+json"; , , , ; , , , ; , , , ; "https://w3id.org/ro-id/61bceafe-5b48-4548-8caf-4142153b1b1b"; ; "Ground Velocities from ALOS-2 Data of the Changbaishan Volcanic Area (China/North Korea) - snapshot", "Mean ground velocities from ALOS-2 data at Changbaishan volcano (China/North Korea) during 2018-2020"; "MANUAL"; "https://w3id.org/ro-id/61bceafe-5b48-4548-8caf-4142153b1b1b/3a69827c-fd1c-4765-a147-5d25c8b8cd38"; "Trasatti, Elisa, and Tolomei, Cristiano. \"Mean ground velocities from ALOS-2 data at Changbaishan volcano (China/North Korea) during 2018-2020.\" ROHub. Dec 13 ,2021. https://doi.org/10.24424/vfp6-r230." . a , ; , , , ; "metadata" . a , ; "raw data" . a , ; ; "biblio" . a , ; ; "data" . a , ; ; 978596; "https://api.rohub.org/api/resources/17d678c6-4274-4475-9fb0-bc6fc00199ae/download/"; ; "2021-12-13 17:49:37.806878+00:00"; "2021-12-13 17:51:43.786630+00:00"; "image/png"; ; "sketch.png"; "2021-12-13 17:49:37.806878+00:00" . a , ; "Mean ground velocities data" . a , ; ; 10222; "https://api.rohub.org/api/resources/2ca3451c-643c-40de-b793-0280cd331831/download/"; ; "2021-12-13 17:49:41.744694+00:00"; "2021-12-13 17:51:41.042882+00:00"; "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"; ; "List_of_images.xlsx"; "2021-12-13 17:49:41.744694+00:00" . a , ; ; 460884; "https://api.rohub.org/api/resources/3e9f5ea7-ec5b-4f90-b40e-8d7a6335855b/download/"; ; "2021-12-13 17:49:49.252182+00:00"; "2021-12-13 17:51:42.921270+00:00"; "image/png"; ; "connection_graph.png"; "2021-12-13 17:49:49.252182+00:00" . a , ; ; 23598522; "https://api.rohub.org/api/resources/6931dcee-ff02-47a4-bb3c-ac38444d73b3/download/"; ; "2021-12-13 17:49:28.816730+00:00"; "2021-12-13 17:51:40.107321+00:00"; "image/tiff"; ; "Changbaishan_ALOS2_asc_poly1.tif"; "2021-12-13 17:49:28.816730+00:00" . a , ; ; "https://www.frontiersin.org/articles/10.3389/feart.2021.741287/abstract"; ; "2021-12-13 17:49:53.455227+00:00"; "2021-12-13 17:51:39.306605+00:00"; ; "https://www.frontiersin.org/articles/10.3389/feart.2021.741287/abstract"; "2021-12-13 17:49:53.455227+00:00" . a , ; "List of the ALOS-2 images used in the processing." . a dct:BibliographicResource, ; "Paper published in Frontiers Earth Science with data and modelling"; "link to paper" . a , ; ; 4891; "https://api.rohub.org/api/resources/cfa05a53-9836-4c05-8bd5-b05a3a1ffe03/download/"; ; "2021-12-13 17:49:45.522927+00:00"; "2021-12-13 17:51:41.997249+00:00"; "application/rtf"; ; "readme.rtf"; "2021-12-13 17:49:45.522927+00:00" . a , ; "Details on the data" . a , ; "Details on the data" . a , ; "Map of the mean ground velocities" . a ; dct:conformsTo ; . a , ; "POLYGON ((127.82938662 41.702706825, 128.35894877 41.702706825, 128.35894877 42.1858125, 127.82938662 42.1858125, 127.82938662 41.702706825))" . a . a , , ; "", "", ""; "Applied sciences", "Applied sciences", "Applied sciences" . a ; "service-account-enrichment" . a , , , , ; ; ; 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." . a , ; "Datasets" . a , ; "Presentations" . a , ; "Publications" . a , ; , ; "Software" . a , ; , , ; "Documents" . a , , ; ; "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" . a , , ; ; "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" . a , , ; ; 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" . a , , ; ; "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" . a , , ; ; "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. Aside 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. https://streetspectra.actionproject.eu/ These 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. The 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. With 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. In 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" . a , , ; ; "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" . a ; dct:conformsTo ; . a , , ; "ACTION project", "ACTION project", "ACTION project" . a ; "service-account-enrichment" . a , , , , ; ; ; 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. 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. 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." . a , ; ; "Presentations" . a , ; , , ; "Publications" . a , ; , ; "Datasets" . a , ; ; "Software" . a , , ; ; "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" . a , , ; ; "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" . a , , ; ; "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" . a , , ; ; "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" . a , , ; ; "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" . a , ; ; "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" . a , , ; ; "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" . a ; dct:conformsTo ; . a ; "service-account-enrichment" . a , , , , ; ; ; 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." . a , ; "data" . a , ; ; "Audios" . a , ; ; "Datasets" . a , ; "raw data" . a , ; ; "Software" . a , ; , , , ; "Additional_Information" . a , ; ; "Presentations" . a , ; ; "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" . a , , ; ; "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" . a , , ; ; "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" . a , ; ; "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" . a , ; ; "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" . a , , ; ; "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" . a , , ; ; "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" . a , , ; ; "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" . a ; dct:conformsTo ; . a ; "service-account-enrichment" . a , , , , ; ; ; 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." . a , ; , , , ; "Additional_Information" . a , ; ; "Publications" . a , ; ; "Software" . a , ; ; "Video" . a , ; ; "Datasets" . a , ; ; "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" . a , , ; ; "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" . a , ; ; "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" . a , , ; ; "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" . a , ; ; "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" . a , ; ; "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" . a , , ; ; "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" . a , ; ; "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" . a ; dct:conformsTo ; . a ; "ACTION project" .