Result List
Get a list of Result objects. Results have a 1:1 mapping with Observations.
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{ "count": 11722, "next": null, "previous": "https://catalogue.ceda.ac.uk/api/v3/results/?format=api&limit=100&offset=11600", "results": [ { "ob_id": 46269, "uuid": "1a0f48bd40cb4b77b16fce66c68c7ca3", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ncas-maqs/data/maqs-42iy-1/20231001_longterm/v3.4.1", "numberOfFiles": 2, "volume": 50260164, "fileFormat": "Data are netCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46268, "uuid": "afbe3e15db494a72bde24f71e80f5f8c", "short_code": "ob", "title": "NCAS Long Term Observations: NOx and NOxy concentrations from the maqs-42iy-1-NOy deployed at Manchester Air Quality Supersite (MAQS), v3.4.1", "abstract": "NOx and NOxy concentrations measurements from the maqs-42iy-1-NOy deployed at Manchester Air Quality Supersite (MAQS). These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations.\n\nData products from this deployment include: nox-noxy-concentration\n\nFor further details of this deployment and the associated dataset please see the internal file metadata.\n\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used.\n " }, "onlineresource_set": [] }, { "ob_id": 46273, "uuid": "cf3ae26a33d34031a727c7ad7d93fbbe", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2026/European_Storm_Types/", "numberOfFiles": 470, "volume": 226169690, "fileFormat": "Contact support@ceda.ac.uk for file format information.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 45951, "uuid": "ad93d6625d4e4124bb136dbb91b78091", "short_code": "ob", "title": "Cyclones, fronts, thunderstorms, and their concurrence: Seven categories of European storm type identified in ECMWF ERA5 over the North Atlantic region", "abstract": "A dataset of storm types over Europe developed for the purpose of understanding the importance of these storm types for precipitation in the region.\r\n\r\nThe files are gridded NetCDF format containing one month of data each. They are the storm types identified from the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis dataset (ERA5) identified over the North Atlantic/European region.\r\n \r\nThe storm types are numbered from 1-7 as follows: \r\n1 - cyclone only \r\n2 - front only \r\n3 - thunderstorm only \r\n4 - cyclone + front \r\n5 - cyclone + thunderstorm \r\n6 - front + thunderstorm \r\n7 - cyclone + front + thunderstorm \r\n \r\nThe cyclones and fronts are identified using updated versions of the algorithms described in Catto and Dowdy (2021), specifically the front identification of Sansom and Catto (2023). The thunderstorm data is calculated using a proxy described in Dowdy (2022). See links to publications below.\r\n\r\nThe storm type data are on a 0.25 degree longitude-latitude grid between 20.75 and 69.25 degrees N and 45 degrees W to 45 degrees E, every 6 hours.\r\n\r\nThis dataset was produced under Natural Environment Research Council (NERC) project 'STORMY-WEATHER: Plausible storm hazards in a future climate' (grant reference: NE/V004166/1)." }, "onlineresource_set": [] }, { "ob_id": 46293, "uuid": "b0ec94e35fb4460b948cfe3ae4cf3fc8", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/gpp_eds/data/v1.0", "numberOfFiles": 14, "volume": 185459230439, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46294, "uuid": "8c6be65e91f146d6877a78b36a1fb6a4", "short_code": "ob", "title": "IMITATE Gross Primary Productivity (2009-2020, Europe) v1.0.", "abstract": "This dataset contains gridded daily Gross Primary Productivity (GPP) over Europe distributed on a regular latitude-longitude grid with a resolution of 0.05°x0.05° and time range from January 2009 to June 2020, inclusive. \r\n\r\nGross primary productivity (GPP) is the total rate at which primary producers capture energy and convert it into organic matter through photosynthesis. The GPP data were generated using machine-learning emulators of GPP from the Joint UK Land Environment Simulator (JULES) combined with Earth Observation datasets (Land Surface Temperature (LST), Fraction of Photosynthetically Active Radiation (FAPAR), soil moisture, and land cover). Further information on the dataset can be found in the Data Product User Guide archived with the data.\r\n\r\nThe data were generated as a proof of concept for an innovative model-data fusion approach within the ESA EO4Society project ‘IMITATE’ (Introducing Machine learning Into Targeted Analysis for Terrestrial Ecosystems).\r\n\r\nThe dataset was produced by a team of scientists from the National Centre for Earth Observation with support from the UK Met Office Hadley Centre." }, "onlineresource_set": [] }, { "ob_id": 46295, "uuid": "f580b84181e54c8e908e45a7c43abd8c", "short_code": "result", "curationCategory": "A", "dataPath": "/bodc/soc260212", "numberOfFiles": 28203, "volume": 111995427616226, "fileFormat": null, "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46296, "uuid": "25e812daf0984e409a3955fc5255c017", "short_code": "ob", "title": "Model output from the 1/12° global integration of the NOC \"Near Present Day\" configuration forced with ERA-5 from 1976", "abstract": "This dataset contains annual, monthly and 5-day ocean and ice output from an integration of the National Oceanography Centre (NOC) \"Near Present Day\" configuration using the Nucleus for European Modelling of the Ocean (NEMO) modelling framework version 4.2 with SI3 (Sea Ice modelling Integrated Initiative), and based on the recent UK Global Ocean and Sea Ice configuration version 9 (GOSI9), which has been documented comprehensively in Guiavarc’h et al. (2025). Forcing is provided by a version of the ERA-5 atmospheric reanalysis (Hersbach et al., 2020) with a climatologically adjusted surface air temperature field. Integrations start from 1976 following three passes through the 1976 forcing with temperature and salinity conditions reset to the initial state at the end of each pass to allow an initial adjustment of the dynamics and ice field. The end of the simulation will continue to remain close to present day, with a typical time lag of 1-3 months. The complete dataset includes: full 5-day, monthly and annual mean ocean fields; and daily mean values of a subset of 2-dimensional fields, including surface fields and bottom pressure. The integration is on the 1/12° eORCA12 global grid, initialised from the World Ocean Atlas 2023 (Reagen et al., 2024) Climate Normal (30-year average) corresponding to 1971-2000. The NOC \"Near Present Day\" configuration and simulations were supported by the Natural Environment Research Council's AtlantiS project (NE/Y005589/1)." }, "onlineresource_set": [] }, { "ob_id": 46297, "uuid": "ff5021f385694445a7b01926bae390ad", "short_code": "result", "curationCategory": "", "dataPath": "/badc/deposited2026/PIV_Images", "numberOfFiles": 221580, "volume": 461439948962, "fileFormat": "TIF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46158, "uuid": "57640822f34e43908acbe97d6bbc4c33", "short_code": "ob", "title": "High speed camera images for tracking microplastic fibre transport in a boundary layer wind tunnel (2024)", "abstract": "The following files contain images extracted from recorded videos of particle tracking velocimetry in wind tunnel experiments examining the interaction between sand and airflow. This dataset was generated as part of NERC grant: NE/X00015X/1:Microplastic entrainment, transport and fragmentation in atmospheric boundary-layer flows.\r\n\r\nThe directory contains files with .tif images corresponding to the experiments with sand particles, under air velocities of 6 and 10 metres per second. The videos were recorded with a Dimax HD high speed camera and lasted 4.1 seconds. Frames were captured with a 200 micro seconds exposure rate of 1550 per second, through a Nikon Micro Nikkor 200 mm F4 objective lens in 12 bit grayscale with a pixel resolution of 1920 by 1080. The rectangular viewing area of each image spanned a physical distance of 62 mm in width, parallel to the mean wind flow, and 35 mm in height. The experiments were run from Jun 24 to July 5th, 2024, in the Trent Environmental Wind Tunnel (TEWT) Facilities, at Trent University, Ontario, Canada.\r\n\r\n\r\n\r\n\r\nThe folder names correspond to the following structure: Test number _ test repetition (R1, R2, R3) _ experimental tunnel air velocity _ particle release distance from the camera (Upwind_Fibre_Position_ …). \r\n\r\nThe image names within each folder correspond to the following structure: Test number _ particle release distance from the camera (L0cm, L25cm, L60cm, L110cm, L200cm) _ test repetition (R1, R2, R3) _ consecutive image number (0001, …, 6155)." }, "onlineresource_set": [] }, { "ob_id": 46310, "uuid": "9589a887e21c46e886bb593b43f270b7", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/precursors/data/SCIAMACHY_HCHO_L3/v2.0/monthly/", "numberOfFiles": 113, "volume": 2289989917, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46308, "uuid": "788be15c7f5047babc0c92ee9d4f73cf", "short_code": "ob", "title": "ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors_cci): monthly L3 HCHO from SCIAMACHY, version 2.0", "abstract": "The Formaldehyde(HCHO) Climate Data Record (CDR) product is a Level 3 HCHO product developed by using satellite data from the SCIAMACHY instrument (on ENVISAT) as part of the ESA Climate Change Initiative (CCI) Precursors for Aerosols and Ozone project.\r\n\r\nThis dataset provides gridded HCHO tropospherical column densities of monthly 1°x 1° resolution grids from January 2003 to April 2012. \r\n\r\nThe L3 product is based on the Level 2 HCHO product created for the Precursors_cci project. \r\n\r\nCompare to the qa4ecv GOME product, the air mass factors have been reprocessed using an update albedo climatology, and the CAMS Reanalysis Model for the a priori vertical profiles. The background correction and the quality values have also been updated.\r\n\r\n In addition to the main product results, such as HCHO slant column, vertical column and air mass factor, the Level 3 data files contain several additional parameters and diagnostic information such as uncertainties, a priori profiles and averaging kernels.\r\n\r\n The version number is 2.0. Data are available in NetCDF format. https://doi.org/10.18758/4yaeg97o\r\n \r\nThe European Space Agency (ESA) Precursors for Aerosol and Ozone Climate Change Initiative (Precursors CCI) project is part of ESA's Climate Change Initiative (CCI) to produce long term datasets of Essential Climate Variables derived from global satellite data (https://climate.esa.int/en/projects/precursors-for-aerosols-and-ozone/)" }, "onlineresource_set": [] }, { "ob_id": 46314, "uuid": "f54eca6875f6416bab93a4a6c4022437", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/precursors/data/GOME_HCHO_L3/v2.0/monthly", "numberOfFiles": 96, "volume": 2129762677, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46307, "uuid": "ef4dc0794a7a4c7ebbe1a008ade3a29e", "short_code": "ob", "title": "ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors_cci): monthly L3 HCHO from GOME, version 2.0", "abstract": "The Formaldehyde(HCHO) Climate Data Record (CDR) product is a Level 3 HCHO product developed by using satellite data from the GOME instrument (on ERS-2) as part of the ESA Climate Change Initiative (CCI) Precursors for Aerosols and Ozone project.\r\n\r\nThis dataset provides gridded HCHO tropospherical column densities of monthly 1°x 1° resolution grids from July 1995 to June 2003. \r\n\r\nThe L3 product is based on the Level 2 HCHO product created for the Precursors_cci project. \r\n\r\nCompared to the qa4ecv GOME product, the air mass factors have been reprocessed using an update albedo climatology, and the CAMS Reanalysis Model for the a priori vertical profiles. The background correction and the quality values have also been updated.\r\n\r\nIn addition to the main product results, such as HCHO slant column, vertical column and air mass factor, the Level 3 data files contain several additional parameters and diagnostic information such as uncertainties, a priori profiles and averaging kernels.\r\n\r\nThe version number is 2.0. Data are available in NetCDF format. https://doi.org/10.18758/saabns5o\r\n\r\nThe European Space Agency (ESA) Precursors for Aerosol and Ozone Climate Change Initiative (Precursors CCI) project is part of ESA's Climate Change Initiative (CCI) to produce long term datasets of Essential Climate Variables derived from global satellite data (https://climate.esa.int/en/projects/precursors-for-aerosols-and-ozone/)" }, "onlineresource_set": [] }, { "ob_id": 46318, "uuid": "0d15f49b8d484ac88e3353521e80e568", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/precursors/data/TROPOMI_HCHO_L3/v2.0/daily/", "numberOfFiles": 2424, "volume": 688718619131, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46309, "uuid": "f8a220b2ba184d89bc40028bc4a8b2e7", "short_code": "ob", "title": "ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors_cci): daily L3 from TROPOMI, version 2.0", "abstract": "The Formaldehyde(HCHO) Climate Data Record (CDR) product is a Level 3 HCHO product developed by using satellite data from the TROPOMI instrument (on S5P) as part of the ESA Climate Change Initiative (CCI) Precursors for Aerosols and Ozone project.\r\n\r\nThis dataset provides gridded HCHO tropospherical column densities of daily 0.25°x0.25° resolution grids from May 2018 to December 2024. \r\n\r\nThe L3 product is based on the Level 2 HCHO product created for the Precursors_cci project. \r\n\r\nCompared to the operational TROPOMI product, the air mass factors have been reprocessed using an update albedo climatology, and the CAMS Reanalysis Model for the a priori vertical profiles. The background correction and the quality values have also been updated.\r\n\r\nIn addition to the main product results, such as HCHO slant column, vertical column and air mass factor, the Level 3 data files contain several additional parameters and diagnostic information such as uncertainties, a priori profiles and averaging kernels.\r\n\r\nThe version number is 2.0. Data are available in NetCDF format. https://doi.org/10.18758/y591kda5\r\n\r\nThe European Space Agency (ESA) Precursors for Aerosol and Ozone Climate Change Initiative (Precursors CCI) project is part of ESA's Climate Change Initiative (CCI) to produce long term datasets of Essential Climate Variables derived from global satellite data (https://climate.esa.int/en/projects/precursors-for-aerosols-and-ozone/)" }, "onlineresource_set": [] }, { "ob_id": 46322, "uuid": "9fc552d003e74fba9783983cbe595600", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/precursors/data/OMI_HCHO_L3/v2.0/monthly/", "numberOfFiles": 244, "volume": 371583987676, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46306, "uuid": "579a8da293824389be927157e0391eef", "short_code": "ob", "title": "ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors_cci): monthly L3 HCHO from OMI, version 2.0", "abstract": "The Formaldehyde (HCHO) Climate Data Record (CDR) product is a Level 3 HCHO product developed by using satellite data from the OMI instrument (on AURA) as part of the ESA Climate Change Initiative (CCI) Precursors for Aerosols and Ozone project.\r\n\r\nThis dataset provides gridded HCHO tropospherical column densities of monthly 0.125°x0.125° resolution grids from October 2004 to December 2024. \r\n\r\nThe L3 product is based on the Level 2 HCHO product created for the Precursors_cci project.\r\n\r\nCompared to the operational TROPOMI product, the air mass factors have been reprocessed using an update albedo climatology, and the CAMS Reanalysis Model for the a priori vertical profiles. The background correction and the quality values have also been updated.\r\n\r\nIn addition to the main product results, such as HCHO slant column, vertical column and air mass factor, the Level 3 data files contain several additional parameters and diagnostic information such as uncertainties, a priori profiles and averaging kernels.\r\n \r\nThe version number is 2.0. Data are available in NetCDF format. https://doi.org/10.18758/bf145884\r\n \r\nThe European Space Agency (ESA) Precursors for Aerosol and Ozone Climate Change Initiative (Precursors CCI) project is part of ESA's Climate Change Initiative (CCI) to produce long term datasets of Essential Climate Variables derived from global satellite data (https://climate.esa.int/en/projects/precursors-for-aerosols-and-ozone/)" }, "onlineresource_set": [] }, { "ob_id": 46326, "uuid": "8538c9de386f4dfaaf8b35c3e1db6d6f", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/precursors/data/OMI_HCHO_L3/v2.0/daily/", "numberOfFiles": 6313, "volume": 1576511005504, "fileFormat": "netcdf", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46305, "uuid": "2856b5dd4b7d4c528d36e3679d2d706e", "short_code": "ob", "title": "ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors_cci): daily L3 HCHO from OMI, version 2.0", "abstract": "The Formaldehyde (HCHO) Climate Data Record (CDR) product is a Level 3 HCHO product developed by using satellite data from the OMI instrument (on AURA) as part of the ESA Climate Change Initiative (CCI) Precursors for Aerosols and Ozone project.\r\n\r\nThis dataset provides gridded HCHO tropospherical column densities of daily 0.25°x0.25° resolution grids from October 2004 to December 2024. \r\n\r\nThe L3 product is based on the Level 2 HCHO product created for the Precursors_cci project. \r\n\r\nCompared to the operational TROPOMI product, the air mass factors have been reprocessed using an update albedo climatology, and the CAMS Reanalysis Model for the a priori vertical profiles. The background correction and the quality values have also been updated.\r\n\r\nIn addition to the main product results, such as HCHO slant column, vertical column and air mass factor, the Level 3 data files contain several additional parameters and diagnostic information such as uncertainties, a priori profiles and averaging kernels.\r\n \r\nThe version number is 2.0. Data are available in NetCDF format. https://doi.org/10.18758/bf145884\r\n \r\nThe European Space Agency (ESA) Precursors for Aerosol and Ozone Climate Change Initiative (Precursors CCI) project is part of ESA's Climate Change Initiative (CCI) to produce long term datasets of Essential Climate Variables derived from global satellite data (https://climate.esa.int/en/projects/precursors-for-aerosols-and-ozone/)" }, "onlineresource_set": [] }, { "ob_id": 46330, "uuid": "a2239af059f446b298238f03a8b895a9", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/sataci/data/CISAR/SEVIRI/L2/v1.0.0/", "numberOfFiles": 4701, "volume": 857797293144, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 44956, "uuid": "08333ee4a0364756b59cf0810d4c7d59", "short_code": "ob", "title": "ESA SATACI Climate Change Initiative (SATACI_cci): CISAR combined hourly AOD/COD products from MSG / SEVIRI, version 1.0.0", "abstract": "This dataset consists of hourly simultaneous aerosol and cloud optical depth (AOD and COD) retrievals using the Combined Inversion of Surface and Aerosols (CISAR) algorithm applied to observations from the SEVIRI (Spinning Enhanced Visible and Infrared Imager) onboard the MSG1 and MSG4 satellites. It has been produced in the framework of the European Space Agency's (ESA) Climate Change Initiative x-ECV SATACI project.\r\n\r\nBy leveraging the geostationary viewing geometry of both satellites, the information content is increased, improving the performance compared to a single-view retrieval (Heidinger et al., 2026). This dataset extends the DUST2MSG dataset available on Zenodo (https://zenodo.org/records/8424628) to -10º South and covers the whole year 2020." }, "onlineresource_set": [] }, { "ob_id": 46344, "uuid": "3fb80d5f62604fd5ba19d83de5edc963", "short_code": "result", "curationCategory": "A", "dataPath": "/bodc/deposits02/soc260013", "numberOfFiles": 88644, "volume": 54385799859, "fileFormat": "JPG, CSV", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46345, "uuid": "60f1fcb0420f4e0caf85bc079edd1609", "short_code": "ob", "title": "Benthic images collected by Autonomous Underwater Vehicle in the Clarion-Clipperton Zone (Pacific Ocean) at Area of Particular Environmental Interest Six (APEI-6) during expedition JC120 (2015)", "abstract": "A collection of benthic still images was obtained using a downward-looking camera (NERC Vocabulary Server Identifier SDN:L22::TOOL1897) mounted on the UK Autosub6000 Autonomous Underwater Vehicle (NERC Vocabulary Server Identifier SDN:B76::B7600031), deployed from the RRS James Cook during cruise JC120 in the abyssal plain (~4100 m depth) of the Clarion-Clipperton Zone, Pacific Ocean, in 2015. The images were obtained in an undisturbed area that has been designated as an Area of Particular Environmental Interest (APEI-6) by the International Seabed Authority. The images show the seabed covered by polymetallic nodules. These are the images that were analysed in https://doi.org/10.1016/j.pocean.2018.11.003. The data were collected by scientists from the National Oceanography Centre, Southampton, UK as part of the Managing Impacts of Deep-seA reSource exploitation (MIDAS) project of the European Union Seventh Framework Programme (FP7/2007-2013; grant agreement no. 603418) and made available through work undertaken as part of the NERC-funded Seabed Mining And Resilience To EXperimental impact (SMARTEX) project (NE/T003537/1)." }, "onlineresource_set": [] }, { "ob_id": 46346, "uuid": "e1f7ed86dffe43b68c7323f79b6e6665", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/ice_sheets_antarctica/data/gravimetric_mass_balance/gridded/v5.2", "numberOfFiles": 2, "volume": 24210669, "fileFormat": "Files are provided in NetCDF format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46339, "uuid": "b16433111505460487c21cd119d295a8", "short_code": "ob", "title": "ESA Antarctic Ice Sheet Climate Change Initiative (Antarctic_Ice_Sheet_cci): Antarctic Ice Sheet monthly Gravimetric Mass Balance gridded product, v5.2, 2002 - 2025", "abstract": "This dataset contains the Gravimetric Mass Balance (GMB) gridded product for the Antarctic Ice Sheet (AIS), generated by TU Dresden as part of the ESA Antarctic Ice Sheet Climate Change Initiative (Antarctic_Ice_Sheet_cci). \r\n\r\nThe Gravimetric Mass Balance (GMB) product for the Antarctic Ice Sheet (AIS) is based on monthly snapshots of the Earth’s gravity field provided by the Gravity Recovery and Climate Experiment (GRACE) and its follow-on satellite mission (GRACE-FO). The product relies on monthly gravity field solutions (L2) of release 06 generated at the Center for Space Research (University of Texas at Austin) and spans the period from April 2002 through July 2020. The GMB product covers the full GRACE mission period (April 2002 - June 2017) and is extended through December 2025 by means of GRACE-FO data starting from June 2018, thus including 234 monthly solutions. The mass change estimation is based on the tailored sensitivity kernel approach developed at TU Dresden. (Groh & Horwath, 2021)\r\n\r\nThe GMB gridded product comprises time series of ice mass changes for cells of polar-stereographic grid with a sampling of 50x50 km² covering the entire AIS. A GMB basin product is also available as a separate dataset.\r\n\r\nGroh, A. & Horwath, M. (2021). Antarctic Ice Mass Change Products from GRACE/GRACE-FO Using Tailored Sensitivity Kernels. Remote Sens., 13(9), 1736. doi:10.3390/rs13091736" }, "onlineresource_set": [] }, { "ob_id": 46347, "uuid": "8fc443a886f145d2949c6892ab48756e", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/ice_sheets_antarctica/data/gravimetric_mass_balance/gridded/v5.2", "numberOfFiles": 2, "volume": 24210669, "fileFormat": "Files are provided in NetCDF format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46338, "uuid": "2fe03252ee624a3e923cd04ddc6b231d", "short_code": "ob", "title": "ESA Antarctic Ice Sheet Climate Change Initiative (Antarctic_Ice_Sheet_cci): Antarctic Ice Sheet monthly Gravimetric Mass Balance basin product, v5.2, 2002-2025", "abstract": "This dataset contains the Gravimetric Mass Balance (GMB) basin product for the Antarctic Ice Sheet (AIS), generated by TU Dresden as part of the ESA Antarctic Ice Sheet Climate Change Initiative (Antarctic_Ice_Sheet_cci). \r\n\r\nThe Gravimetric Mass Balance (GMB) product for the Antarctic Ice Sheet (AIS) is based on monthly snapshots of the Earth’s gravity field provided by the Gravity Recovery and Climate Experiment (GRACE) and its follow-on satellite mission (GRACE-FO). The product relies on monthly gravity field solutions (L2) of release CSR RL06.3 generated at the Center for Space Research (University of Texas at Austin) and spans the period from April 2002 through December 2025. The mass change estimation is based on the tailored sensitivity kernel approach developed at TU Dresden (Groh and Horwath 2021, https://doi.org/10.3390/rs13091736) For the 11-months gap between the GRACE and GRACE-FO d\r\nata, mass changes are interpolated by a dedicated gap filling method, which utilizes modelling results from the Regional Atmospheric Climate Model RACMO2.4p1 (van Dalum et al. 2024, https://doi.org/10.5194/tc-18-4065-2024) to include short-term mass variations due to fluctuations in surface mass balance. \r\n\r\nThe GMB basin product provides time series of integrated mass changes for 26 drainage basins and the aggregations of the Antarctic Peninsula, East Antarctica, West Antarctica and the entire AIS. Based on the GMB basin product, ice mass balance estimates, i.e. linear trend in the change in ice mass, were derived for all drainage basins and aggregations. A gridded GMB product is also available as a separate dataset. \r\n\r\nGroh, A. & Horwath, M. (2021). Antarctic Ice Mass Change Products from GRACE/GRACE-FO Using Tailored Sensitivity Kernels. Remote Sens., 13(9), 1736. doi:10.3390/rs13091736" }, "onlineresource_set": [] }, { "ob_id": 46348, "uuid": "737ce52dca334e35a98d4666c55750c7", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/ice_sheets_antarctica/data/surface_elevation_change/v2.0", "numberOfFiles": 391, "volume": 10190116720, "fileFormat": "Files are provided in NetCDF format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46083, "uuid": "6415e9e095e249ab9509f9c7878d1f11", "short_code": "ob", "title": "ESA Antarctic Ice Sheet Climate Change Initiative (Antarctic_Ice_Sheet_cci): Antarctic Ice Sheet Surface Elevation Change v2.0", "abstract": "Gridded Antarctic Ice Sheet Surface Elevation Change (SEC) products derived from cross-calibrated radar and laser satellite altimetry missions since 1991. Products are processed by the Centre for Polar Observation and Modelling (CPOM) as part of the Antarctic CCI+ Phase-2 project for the European Space Agency (ESA). \r\n\r\nThe dataset includes multi-mission 5-year rates of surface elevation change (dH/dt), cumulative annual dH grids, single radar altimetry mission SEC products (ERS-1, ERS-2, ENVISAT, CryoSat-2, Sentinel-3A, Sentinel-3B), and an ICESat-2 laser altimetry SEC product. All gridded products are provided on a 5 km south polar stereographic grid (EPSG:3031)." }, "onlineresource_set": [] }, { "ob_id": 46349, "uuid": "6c1b9bd7bc1c49d48bc42a6faecd6444", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/ice_sheets_antarctica/data/grounding_line_locations/key_glaciers/v3.1", "numberOfFiles": 8, "volume": 321947730, "fileFormat": "Files are provided in vector format: .cpg, .dbf, .geojson, .gpkg, .prj, .shp, .shx.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46337, "uuid": "e041b3b6d8b348afaff345a354ba382b", "short_code": "ob", "title": "ESA Antarctic Ice Sheet Climate Change Initiative (Antarctic_Ice_Sheet_cci): Grounding line location for key glaciers, Antarctica, 1994-2026, v3.1", "abstract": "This dataset contains grounding line locations (GLL) for key glaciers in Antarctica, produced as part of the ESA Antarctic Ice Sheet Climate Change Initiative (Antarctic_Ice_Sheet_cci) project. The data have been derived from satellite observations from the ERS-1/2, TerraSAR-X and Copernicus Sentinel-1 satellites, acquired between 1994 and 2026.\r\n\r\nIn the Phase 2 of the project, a method was developed for an automatic delineation of the grounding line from the fringe pattern of the DInSAR interferograms. This new procedure can be applied to support or replace the manual delineation and is annotated in the GLL product." }, "onlineresource_set": [] }, { "ob_id": 46358, "uuid": "4e96132f00344c49bea5b306e55a6185", "short_code": "result", "curationCategory": "A", "dataPath": "/bodc/deposits03/soc260253", "numberOfFiles": 5293, "volume": 272183675635, "fileFormat": "csv, xlsx, segy, mseed", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46357, "uuid": "6b501553300746bcaf07f44e3bf12c1e", "short_code": "ob", "title": "Geophysical data from RRS James Cook cruise JC251, Goban spur, northeast Atlantic Ocean, August - September 2023", "abstract": "This dataset consists of wide-angle seismic, electric field and magnetometer time series data recorded using 14 Ocean-Bottom Instruments (OBIC UK), along a carefully chosen ~200 km line at the magma-poor Goban Spur rifted margin in the north-east Atlantic Ocean, southwest of UK, in 2023. The data were acquired during RRS James Cook cruise JC251. The 14 OBIC instruments were equipped with 3-component geophones and 2-component horizontal electrode dipoles with 12 m antennas, and 10 of them had additional 3-component fluxgate magnetometers. All measurements were recorded at 250 Hz sampling rate. Alongside the OBIC dataset, the Deep-towed Active Source Instrument (DASI) waveforms, altimeter and conductivity-temperature-depth (CTD) measurements are also included. A detailed description of the acquisition and instruments can be found in the cruise report at: http://www.bodc.ac.uk/resources/inventories/cruise_inventory/report/18305/. The aim was to quantify the evolution of serpentinisation and magmatism at a magma-poor rifted margin as seafloor spreading is initiated, including whether serpentinisation of exhumed mantle is focused in discrete fault zones, and whether magmatism increases abruptly or gradually. These data were acquired by scientists from the National Oceanography Centre Southampton, Scripps Institute of Oceanography (SIO), and University of Southampton as part of the NSFGEO-NERC funded project 'Quantifying evolution of magmatism and serpentinisation during the onset of seafloor spreading' (Grant ref: NE/T007419/1). The collinear 34 SIO Mk III OBEM seafloor magnetotelluric/electromagnetic sensor data can be obtained from http://www.marine-geo.org/tools/files/32309#datasets." }, "onlineresource_set": [] }, { "ob_id": 46359, "uuid": "8d05802593f34769a4c51891eab94ff9", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/picasso/data/ncas-radiosonde-1/2018012_picasso/v1", "numberOfFiles": 12, "volume": 5122989, "fileFormat": "Data are ASCII formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46360, "uuid": "83c20af84bd1473f8dacbbd472b83277", "short_code": "ob", "title": "PICASSO: 1s high resolution radiosonde data from the NCAS Radiosonde unit 1 deployed at the Chilbolton Atmospheric Observatory, Hampshire, UK (2018)", "abstract": "This dataset contains high resolution radiosonde measurements at 1 second from the NCAS Radiosonde unit 1 deployed at the Chilbolton Atmospheric Observatory during the Parameterizing Ice Clouds using Airborne obServationS and triple-frequency dOppler radar data (PICASSO) project.\r\n\r\nThese data are ASCII formatted." }, "onlineresource_set": [] }, { "ob_id": 46363, "uuid": "ec4d1f44941540eab9c58cb36cc681df", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/picasso/data/reading-radiosonde/20180405_picasso/v1", "numberOfFiles": 13, "volume": 89109490, "fileFormat": "Data are a mix of ASCII and binary formatted files", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46361, "uuid": "f23b68602a6f463bb667a92db8608808", "short_code": "ob", "title": "PICASSO: 1s high resolution radiosonde data from the University of Reading radiosonde unit deployed at the Chilbolton Atmospheric Observatory, Hampshire, UK (2019)", "abstract": "This dataset contains high resolution radiosonde measurements at 1 second from the University of Reading radiosonde unit deployed at the Chilbolton Atmospheric Observatory during the Parameterizing Ice Clouds using Airborne obServationS and triple-frequency dOppler radar data (PICASSO) project.\r\n\r\nThese data are presented in the 'mwx' binary format for all flights and in ASCII for most." }, "onlineresource_set": [] }, { "ob_id": 46376, "uuid": "e63c03b2fb744e90a81ac733f3556dd8", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/esacci/lakes/data/gapfilled_lswt_lic/L4/v1.0/", "numberOfFiles": 10707, "volume": 253058167081, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46290, "uuid": "eac4f125ae6d4909b706a130e20ceeab", "short_code": "ob", "title": "ESA Lakes Climate Change Initiative (Lakes_cci): Harmonised lake surface water temperature and lake ice cover gap-filled product derived from Lake_cci CRDP v3.0 , Version 1.0", "abstract": "This dataset provides a global Level4 harmonised, gap-filled Lake Surface Water Temperature (LSWT) and Lake Ice Cover (LIC) dataset for 2,000 inland water bodies over the period 2000-2023 as part of the European Space Agency (ESA) Lakes Climate Change Initiative (Lakes_cci) project.\r\n\r\nThe dataset includes two thematic Lake ECVs: LSWT, derived from optical and thermal satellite observations, supporting analysis of mixing regimes, biogeochemical cycling; and LIC derived from optical satellite observations, describing the ice freeze-up and break-up. Together, these variables provide key indicators of climate variability and change.\r\n\r\nThis version 1.0 of the harmonised dataset is derived from the ESA CCI Lakes ECV Products Climate Data Research Package (CRDP) v3.0, specifically the LSWT and LIC products. The LSWT and the LIC were gap-filled independently and subsequently harmonised to ensure consistency between the variables. The gap-filling and harmonisation methods are described in three journal articles.\r\n\r\nBecause the gap-filled LSWT and LIC products are harmonised, they are fully consistent. Therefore, no water temperature is reported for grid cells classified as ice-covered.\r\n\r\nThe data are reported in two forms: 1) daily global files and 2) per lake time series files. The catalogue includes a CSV file listing all lakes for which the product is available. The lake mask for each lake is provided in all the files." }, "onlineresource_set": [] }, { "ob_id": 46389, "uuid": "50234b10a52b4f599daca494e418a69b", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/deposited2026/Congo_Islands_Analysis/", "numberOfFiles": 5, "volume": 2044081373, "fileFormat": "These data are given in GeoTIFF and CSV format.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46388, "uuid": "61a46ef80f63449397c9825676f3cc5a", "short_code": "ob", "title": "Land-cover classifications and chainage-level vegetation metrics for islands of the middle Congo River derived from Sentinel-2 imagery for 2020, 2024 and 2025", "abstract": "Land-cover classifications of vegetated islands along a ~400 km section of the middle Congo River, derived from cloud-free Sentinel-2 Level-2A Surface Reflectance Harmonized imagery for the dry seasons of 2020 (pre-drought), 2024 (drought) and 2025 (post-drought). The dataset accompanies dataset accompanies Steadman et al. (in submission), \"Vegetation Loss and Response to Hydrological Drought on the Islands of the Congo River.\"\r\n\r\n The deposit consists of three classified raster maps (GeoTIFF, 10 m resolution) and one tabular dataset (CSV):\r\n\r\n - 2020_Landcover.tif, 2024_Landcover.tif, 2025_Landcover.tif: two-class supervised land-cover classifications based on a Random Forest classifier (500 trees) trained on Sentinel-2 bands B2, B3, B4, B8 and B11. Class codes: 1 = vegetated, 2 = non-vegetated.\r\n\r\n - chainage_vegetation_metrics.csv: per-chainage summary table, with one row per 10 km chainage interval (260-640 km along the Congo River centreline upstream from Kinshasa, after Carr et al., 2019). Columns include percentage vegetated cover for each year, June-August 2024 mean precipitation (mm, from Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS)) and canopy-height composition (proportion of <1 m, 1-10 m, and >10 m vegetation derived from the ETH Global Sentinel-2 10 m Canopy Height dataset, 2020).\r\n\r\n The study area covers a ~400 km corridor of the middle Congo River from just downstream of Mbandaka to a few kilometres upstream of Mpouya, spanning the border region between the Democratic Republic of the Congo and the Republic of the Congo. The corridor contains approximately 800 islands. Sentinel-2 imagery was mosaicked across MGRS tiles 33MXT, 33MXU, 33MYU, 33MYV and 33MZV.\r\n\r\n Dry-season composites were generated from images acquired on 16 June, 1 July, 31 July and 8 August 2020; 20 June, 10 July, 25 July and 8 August 2024; and 13 May and 10 June 2025. The chainage CSV summarises conditions for these three years and additionally includes June-August 2024 cumulative precipitation derived from CHIRPS daily data.\r\n\r\n Sentinel-2 Level-2A Surface Reflectance Harmonized imagery was accessed via Google Earth Engine. Cloud, cloud-shadow, cirrus and saturated pixels were masked using the Scene Classification Layer (SCL) with a 1-2 pixel buffer. Annual median composites were classified with a Random Forest model (500 trees, 70/30 train-test split) trained on manually digitised polygons of the four land-cover classes, using high-resolution historical imagery from Google Earth Pro and Bing Aerial Imagery as references. A majority filter was applied to smooth isolated misclassified pixels. Per-chainage metrics were derived in ArcGIS Pro using the Tabulate Area tool, with 10 km chainage polygons intersecting the basin-scale Congo River centreline (Carr et al., 2019) as zones. Percentage vegetated cover was computed as the vegetated area divided by the sum of vegetated and non-vegetated areas (water and sand classes were masked from the analysis).\r\n\r\nThe classifications and chainage metrics were produced to characterise the spatial extent and structural pattern of vegetation loss across Congo River islands during the extreme 2024 hydrological drought, and to test the hypothesis that vegetation loss is jointly controlled by hydroclimatic exposure (rainfall gradient) and vegetation structure." }, "onlineresource_set": [] }, { "ob_id": 46393, "uuid": "ac665c5aa53b4691a599fa356518e897", "short_code": "result", "curationCategory": "A", "dataPath": "/bodc/pol250902", "numberOfFiles": 3, "volume": 6512231743, "fileFormat": null, "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 46394, "uuid": "59867cf784a7402faecc3bbba522c2d3", "short_code": "ob", "title": "Model outputs containing seabed mobility projections from the North Western European shelf from 1992-2093 version 3", "abstract": "This dataset consists of outputs from a hydrodynamic and wave model for the North-West European Shelf. It contains simulation periods conducted over monthly time spans. These include: historic reanalysis periods: January 2017; June 2018 and climate projection periods: June 1992; January 1996; January 2050; June 2053; January 2090; June 2093. The outputs contain hourly combined mean and maximum bed shear stresses (Tau), and monthly derived seabed motion, or 'capacity to move'. Wave and hydrodynamic seabed stresses are calculated following the approach of Soulsby (1997). This indicates what sediment grain size could be mobilised at the seabed as the given value of shear stress. The data are delivered on a regular grid at approximately 1.5km resolution. The hydrodynamic model is NEMO (Nucleus for European Modelling of the Ocean) and wave model is WAVEWATCH III and the North-West Shelf configuration is based on a rotated 1.5 km grid used for NORTHWESTSHELF_ANALYSIS_FORECAST_PHY_004_013. The model is forced by lateral boundary conditions from a consistent Global wave hindcast. The reanalysis atmospheric forcing is given by the ECMWF ERA-5 Numerical Weather Prediction reanalysis. Future projections are forced by HadGEM3-GC3.05 PPE derived surface forcing and ocean lateral boundaries (Tinker et. al 2023). The wave model is forced by lateral boundary conditions from a consistent Global wave simulation. The outputs were generated under the ECOWind ACCELERATE project funded by the Natural Environment Research Council (NERC) under reference NE/X008886/1. A file within the archive (small_Jun2018_hourly_stress.nc) was replaced due to being corrupted, and this DOI represents the third version." }, "onlineresource_set": [] } ] }