Observation List
Get a list of Observation objects.
### Available end points:
- `/observations/` - Will list all Results in the database
- `/observations.json` - Will return all Results in json format. This can
also be achieved by using the accept header. `application/json`
- `/observations/<object_id>/` - Returns Results object with that id
### Available Methods:
- `GET`
- `HEAD`
### Available filters:
- `title`
- `uuid`
- `keywords`
- `status`
- `result_field`
- `discoveryKeywords`
- `updateFrequency`
- `nonGeographicFlag`
- `publicationState`
- `permissions`
### How to use filters:
These filters can be used like django query filters using __ for related model relationships.
- `/observations/?uuid=d594d53df2612bbd89c2e0e770b5c1a0`
- `/observations/?status=completed`
- `/observations/?results_field__dataPath__startswith=/neodc/esacci`
- `/observations/?discoveryKeywords__name=ESACCI`
- `/observations/?nonGeographicFlag=True`
Filters can be stacked to build an 'AND' relationship. E.g.
- `/observations/?publicationState__in=published,citable&nonGeographicFlag=True`
- `/observations/?publicationState__in=published,citable&discoveryKeyword__name=NDGO0003`
GET /api/v2/observations/?format=api&offset=9700
{ "count": 10253, "next": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=9800", "previous": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=9600", "results": [ { "ob_id": 43792, "uuid": "c4846909fcad4480903857e7ef486743", "title": "NCAS Long Term Observations: SNR winds from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the Met Office Meteorological Research Unit, Cardington, v8.0 (20070821-20071029)", "abstract": "Vertical profiles of signal to noise ratio (SNR) and winds measurements from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the Met Office Meteorological Research Unit, Cardington. These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations between 20070821 and 20071029.\r\n\r\nData products from this deployment include: snr-winds\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\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.", "keywords": "NCAS, observation measurements", "publicationState": "citable", "dataPublishedTime": "2025-05-07T15:11:10", "doiPublishedTime": "2025-05-07T15:11:17.480422", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43793/?format=api", "dataPath": "/badc/ncas-mobile/data/ncas-radar-wind-profiler-1/20070821_cardington/v8.0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 46876808, "numberOfFiles": 70, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12240/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4554/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50510/?format=api", 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75843/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75844/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75845/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75846/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75847/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75848/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75849/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75850/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75851/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75852/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75853/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75854/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75855/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75856/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75857/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75858/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75859/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75860/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75861/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75862/?format=api" ], "dataLineage": "Data were processed and preparation before delivery to the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13370/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/42342/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210864/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209458/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209459/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209460/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209461/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209462/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209463/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209464/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209465/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/43794/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43795, "uuid": "fb656a8d38c24b148d8918331a7f5556", "title": "NCAS Long Term Observations: SNR winds from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the NCAS Capel Dewi Atmospheric Observatory (CDAO), v8.0 (20080206-20080428)", "abstract": "Vertical profiles of signal to noise ratio (SNR) and winds measurements from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the NCAS Capel Dewi Atmospheric Observatory (CDAO). These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations between 20080206 and 20080428.\r\n\r\nData products from this deployment include: snr-winds\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\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.", "keywords": "NCAS, observation measurements", "publicationState": "citable", "dataPublishedTime": "2025-04-28T10:32:16", "doiPublishedTime": "2025-04-28T10:32:27.138984", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43796/?format=api", "dataPath": "/badc/ncas-mobile/data/ncas-radar-wind-profiler-1/20080206_capel-dewi/v8.0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 90355311, "numberOfFiles": 134, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12241/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4552/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50510/?format=api", 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75857/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75858/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75859/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75860/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75861/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75862/?format=api" ], "dataLineage": "Data were processed and prepared by the NCAS instrument scientist following the NCAS data standards before delivery to the NERC EDS Centre for Environmental Data Analysis (CEDA) for long term archival.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13341/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/42342/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 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group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43798, "uuid": "38083202924c4785bc61b6e511ad3389", "title": "NCAS Long Term Observations: SNR winds from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the Met Office Meteorological Research Unit, Cardington, v8.0 (20080924-20090130)", "abstract": "Vertical profiles of signal to noise ratio (SNR) and winds measurements from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the Met Office Meteorological Research Unit, Cardington. These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations between 20080924 and 20090130.\r\n\r\nData products from this deployment include: snr-winds\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\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.", "keywords": "NCAS, observation measurements", "publicationState": "citable", "dataPublishedTime": "2025-04-28T12:40:07", "doiPublishedTime": "2025-04-28T12:40:27.453201", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43799/?format=api", "dataPath": "/badc/ncas-mobile/data/ncas-radar-wind-profiler-1/20080519_cardington/v8.0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 83561756, "numberOfFiles": 124, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12242/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4554/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50510/?format=api", 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75857/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75858/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75859/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75860/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75861/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75862/?format=api" ], "dataLineage": "Data were processed and prepared by the NCAS instrument scientist following the NCAS data standards before delivery to the NERC EDS Centre for Environmental Data Analysis (CEDA) for long term archival.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13352/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/42342/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ 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group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43801, "uuid": "bf30b4f3426b444ead61a68670e2bf39", "title": "NCAS Long Term Observations: SNR winds from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the NCAS Capel Dewi Atmospheric Observatory (CDAO), v8.0 (20090213-20090804)", "abstract": "Vertical profiles of signal to noise ratio (SNR) and winds measurements from the NCAS Mobile Radar Wind Profiler unit 1 deployed at the NCAS Capel Dewi Atmospheric Observatory (CDAO). 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"discoveryKeywords": [] }, { "ob_id": 43850, "uuid": "edc03d280dab4549a23b8da869460b94", "title": "TLS-ARCH terrestrial laser scanner data; Nova Xavantina (VCR-02),Brazil, July 2019", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations. Plot VCR-02 is located in Nova Xavantina, Brazil, is part of the Global Ecosystem Monitoring (GEM) network and is managed by UNEMAT\r\n\r\nThe TLS data were collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees for all scans. In between each scan position, a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data were coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory.", "keywords": "TLS, Brazil, VCR-02, BIOMASS", "publicationState": "published", "dataPublishedTime": "2025-04-08T12:17:32", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43851/?format=api", "dataPath": "/neodc/tls/data/raw/brazil/VCR-02/2019-07-15.001.riproject", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 63355820664, "numberOfFiles": 2202, "fileFormat": "Point cloud data in RIEGL proprietry .rxp format, image data in .jpg format and matrix data in text file" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12270/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4729/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43637/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30128/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209927/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209650/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209651/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209652/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209653/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209654/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209925/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209649/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209926/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/43852/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 43853, "uuid": "4731f72a886c47739fb5990c379c91dd", "title": "Gridded projections of ground and surface water abstraction and discharge for England 2020-2080", "abstract": "This dataset contains projected monthly surface and groundwater abstractions and annual discharges for England at 1 km × 1 km resolution, for the years 2020 to 2080 for three future scenarios: Economic Growth (EG), Business as Usual (BaU), and Sustainable (Sus). Further details are provided in the linked Data Document.\r\n\r\nThese datasets were produced by applying future scaling factors (derived from various publicly available water demand projections) to baseline datasets available at: https://dx.doi.org/10.5285/18886f95ba84447f997efac96df456ad (Rameshwaran et al., 2025). 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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 May 2024.\r\n\r\nThe GMB product covers the full GRACE mission period (April 2002 - June 2017) and is extended by means of GRACE-FO data starting from June 2018, thus including 200 monthly solutions. The mass change estimation is based on inversion method developed at DTU Space.\r\n\r\nTwo different types of products are available. First, the gridded mass trends product is comprised of ice mass change trends for cells of equal area with 44 km resolution covering the whole GIS and different drainage basins. Second, the mass change time series product provides time series of integrated mass changes for 8 drainage basins and the entire GIS over different 5-year periods between 2002 and 2024. Basin definitions and further data descriptions can be found in the Algorithm Theoretical Baseline Document and the Product Specification Document which are provided on the project website. \r\n\r\nReference:\r\nBarletta, V. R., Sørensen, L. S., and Forsberg, R. 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The data was collected as part of the NE/V001388/1 Project, \"Thermochemical Remanent Magnetisations: How Do They Affect Ancient Magnetic Field Intensities from the Earth and Solar System?\" between September 2024 and March 2025. The dataset includes APT data files (.apt), which contain three-dimensional atomic-scale reconstructions of mineral samples. These are accompanied by range files (.RRNG) that define the elemental composition within each dataset. Selected Area Electron Diffraction (SAED) patterns (.dm4) provide crystallographic information, while STEM images (.dm4) capture fine-scale structures capture fine-scale structures. SEM Back-Scattered Electron ( BSE) images (.tif) show bulk grains used for the nano-scale analysis.", "keywords": "", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "pending", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12266/?format=api", "geographicExtent": null, "nonGeographicFlag": true, "phenomena": [], "dataLineage": "SEM images were captured using Thermo Fisher (TF) Helios and TF Scios DualBeam systems, while TEM images, including SAED patterns, were obtained using a JEOL 2100F TEM. APT data was collected using a CAMECA LEAP 5000 instrument with acquisition parameters set to Laser Mode, a temperature of 50 K, a pulse frequency between 150-200 kHz, and a laser energy of 30 pJ.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43877/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209743/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209744/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209745/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209746/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209747/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209748/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209749/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209750/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209751/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209752/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/43878/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 43880, "uuid": "18fb3b40cc91412396b338c1f8b7d9b9", "title": "Data Repository for NE/V001388/1", "abstract": "This dataset contains Scanning and Transmission Electron Microscopy (SEM and TEM) images and Atom Probe Tomography (APT) data related to the study of mineral microstructures and their magnetic properties. The data was collected as part of the NE/V001388/1 Project, \"Thermochemical Remanent Magnetisations: How Do They Affect Ancient Magnetic Field Intensities from the Earth and Solar System?\" between September 2024 and March 2025. The dataset includes APT data files (.apt), which contain three-dimensional atomic-scale reconstructions of mineral samples. These are accompanied by range files (.RRNG) that define the elemental composition within each dataset. Selected Area Electron Diffraction (SAED) patterns (.dm4) provide crystallographic information , while Scanning Transmission Electron Microscopy (STEM) images (.dm4) capture the fine-scale structures of the samples.SEM Back-Scattered Electron (BSE) images (.tif) show bulk grains on which the finer analysis was performed.", "keywords": "", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "pending", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12267/?format=api", "geographicExtent": null, "nonGeographicFlag": true, "phenomena": [], "dataLineage": "First, mineral samples were collected and prepared for analysis, including cutting, polishing and coating with a conductive Cr layer. SEM images were captured using Thermo Fisher (TF) Helios and TF Scios DualBeam systems and used for the identification of regions of interest. TEM samples and APT needles were prepared from said regions of interest using Focused Ion Beam (FIB) liftout and thinning. S/TEM images, including SAED patterns, were obtained using a JEOL 2100F TEM. APT data was collected using a CAMECA LEAP 5000 instrument with acquisition parameters set to Laser Mode, a temperature of 50 K, a pulse frequency between 150-200 kHz, and a laser energy of 30 pJ. The data was processed and analyzed using specialized software tools such as CAMECA IVAS and APTLAb for atom probe tomography and DigitalMicrograph and ImageJ for electron microscopy.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43881/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209758/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209759/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209760/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209761/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209762/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209763/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209764/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209765/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209766/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209767/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209768/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 43882, "uuid": "257e911489484af7881c81a36e76789b", "title": "WOEST: SNR winds from the STFC Radar Wind Profiler unit 1 deployed at Chilbolton Atmospheric Observatory, v1.0 (202360110-20230928)", "abstract": "Vertical profiles of signal to noise ratio (SNR) and winds measurements from the STFC Radar Wind Profiler unit 1 deployed at Chilbolton Atmospheric Observatory. These observations were taken as part of the Wessex convection (WesCon) experiment - Observing the Evolving Structures of Turbulence (WOEST)between 202360110 to 20230928.\r\n\r\nData products from this deployment include: snr-winds\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of STFC and NCAS as the data provider is required whenever and wherever these data are used.", "keywords": "NCAS, observation measurements", "publicationState": "citable", "dataPublishedTime": "2025-05-08T11:30:35", "doiPublishedTime": "2025-05-08T12:55:11.122480", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43883/?format=api", "dataPath": "/badc/woest/data/stfc-radar-wind-profiler-1/20230601_woest/v1.0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 211006659, "numberOfFiles": 212, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12268/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4548/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53936/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53937/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53938/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53939/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53940/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53941/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53942/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53943/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53944/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58081/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58088/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74110/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75841/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75844/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75845/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75848/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75850/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75851/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75854/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75856/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75857/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75858/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75883/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75884/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75885/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75886/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75887/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75888/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75889/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75890/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75891/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75892/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75893/?format=api" ], "dataLineage": "Data were processed and prepared by the project team before delivery to the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13377/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43720/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43875/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209770/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209771/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209775/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209772/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209773/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209774/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209776/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209777/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/43884/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43890, "uuid": "c7cd8115391340638bdd9adb0fbf28e9", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Drift-aware sea-ice thickness for the Northern Hemisphere from CryoSat-2, v1.0", "abstract": "This dataset provides daily drift-aware sea ice freeboard and thickness maps, using satellite altimetry data from CryoSat-2, covering the entire Arctic sea ice domain. Daily files are provided during boreal winter seasons (October to April).\r\n\r\nNeglecting sea ice drift when generating monthly sea ice thickness maps from satellite altimetry will cause blurring of the spatial distribution of ice thickness. This dataset synergizes sea ice freeboard and thickness information from satellite altimetry with sea ice drift estimates from passive microwave satellite sensors. Individual parcels of satellite altimeter measurements are advected daily over a time span of one month to obtain drift-aware sea ice freeboard and thickness maps. Because of the drift correction, this allows the determination of sea ice that was overflown by the satellite multiple times, and therefore the estimation of growth rates and changes in the sea ice thickness distribution due to deformation and thermodynamic ice growth between satellite overflights. With the estimation of sea ice growth, measurements can be corrected for the time offset between the acquisition day and the target day, the day to which all measurements within a month are projected.\r\n\r\nThese data have been produced as part of the European Space Agency (ESA)'s Climate Change Initiative (CCI) programme, as part of the ESA CCI Sea Ice project.", "keywords": "Sea Ice, ESA, CCI, Arctic, Drift Aware", "publicationState": "citable", "dataPublishedTime": "2025-05-21T14:15:26", "doiPublishedTime": "2025-05-21T14:28:21", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44183/?format=api", "dataPath": "/neodc/esacci/sea_ice/data/drift_aware_sea_ice_thickness/L3C/cryosat/v1.0/NH", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5883501229, "numberOfFiles": 1101, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12372/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4782/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63576/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74945/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74946/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75280/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75287/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85586/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85587/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85588/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85589/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85590/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85591/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85592/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85593/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85594/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85595/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85596/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85597/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85598/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85599/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85600/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85601/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85602/?format=api" ], "dataLineage": "Data were processed by the ESA CCI Sea Ice project team and were supplied to CEDA in the context of the ESA CCI Open Data Portal. The following organisations were involved in the Sea_Ice_CCI project which resulted in production of this dataset: NORCE Norwegian Research Centre, Norwegian Meteorological Institute, Alfred Wegener Institute.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13391/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/14368/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/14367/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209797/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209800/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209799/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209801/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209802/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209803/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209804/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209808/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209807/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210442/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210443/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210444/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/44352/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2573/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_seaice_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 43891, "uuid": "95913ffb6467447ca72c4e9d8cf30501", "title": "ESA Biomass Climate Change Initiative (Biomass_cci): Global datasets of forest above-ground biomass for the years 2007, 2010, 2015, 2016, 2017, 2018, 2019, 2020, 2021 and 2022, v6.0", "abstract": "This dataset comprises estimates of forest above-ground biomass (AGB) for the years 2007, 2010, 2015, 2016, 2017, 2018, 2019, 2020, 2021 and 2022. They are derived from a combination of Earth observation data, depending on the year, from the Copernicus Sentinel-1 mission, Envisat’s ASAR (Advanced Synthetic Aperture Radar) instrument and JAXA’s (Japan Aerospace Exploration Agency) Advanced Land Observing Satellite (ALOS-1 and ALOS-2), along with additional information from Earth observation sources. The data has been produced as part of the European Space Agency's (ESA's) Climate Change Initiative (CCI) programme by the Biomass CCI team.\r\n\r\nThis release of the data is version 6. Compared to version 5, version 6 consists of an update of the maps of AGB for the years 2010, 2015, 2016, 2017, 2018, 2019, 2020, 2021 and new AGB maps for 2007 and 2022. AGB change maps have been created for consecutive years (e.g., 2020-2019), for a decadal interval (2020-2010) as well as for the interval 2010-2007. The pool of remote sensing data includes multi-temporal observations at L-band for all biomes and for all years and extended ICESat-2 observations to calibrate retrieval models. A cost function that preserves the temporal features as expressed in the remote sensing data has been refined to limit biases between the 2007-2010 and the 2015+ maps.\r\n\r\nThe data products consist of two (2) global layers that include estimates of:\r\n1) above ground biomass (AGB, unit: tons/ha i.e., Mg/ha) (raster dataset). This is defined as the mass, expressed as oven-dry weight of the woody parts (stem, bark, branches and twigs) of all living trees excluding stump and roots per unit area\r\n2) per-pixel estimates of above-ground biomass uncertainty expressed as the standard deviation in Mg/ha (raster dataset)\r\n\r\nAdditionally provided in this version release are aggregated data products. These aggregated products of the AGB and AGB change data layers are available at coarser resolutions (1, 10, 25 and 50km).\r\n\r\nIn addition, files describing the AGB change between two consecutive years (i.e., 2016-2015, 2017-2016, 2018-2017, 2019-2018, 2020-2019, 2021-2020, 2022-2021), over a decade (2020-2010) and over 2010-2007 are provided. Each AGB change product consists of two sets of maps: the standard deviation of the AGB change and a quality flag of the AGB change. 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It contains NetCDF output from coupled transient simulations with regional aerosol reductions over East Asia. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe SSP370-EAS126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over East Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. East Asia is the region bounded by 95 and 133E and 20 and 53N. \r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth 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It contains NetCDF output from coupled transient simulations with regional aerosol reductions over South Asia. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe SSP370-SAS126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over South Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. South Asia is the region bounded by 65 and 95E and 5 and 35N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. 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Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. 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It contains NetCDF output from coupled transient simulations with regional aerosol reductions over North America and Europe. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe SSP370-NAE126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over North America and Europe are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. North America and Europe are the regions bounded by 150W, 45W, 25N and 70N, and 20W, 45E, 35N, and 70N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. 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It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe piClim-370-AFR126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over Africa and the Middle East are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested. Africa and the Middle East is the region bounded by 20W, 60E, 35S, and 35N. \r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth 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It contains NetCDF output from coupled transient simulations with regional aerosol reductions over Asia. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe SSP370-ASIA126aer coupled transient experiment from January 2015 to at least February 2051. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. Asia is comprised of East Asia (the region bounded by 95 and 133E and 20 and 53N) and South Asia (the region bounded by 65 and 95E and 5 and 35N). \r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. 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Scan data were coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory.", "keywords": "TLS, Brazil, CRP-02, BIOMASS", "publicationState": "published", "dataPublishedTime": "2025-04-08T18:39:01", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43945/?format=api", "dataPath": "/neodc/tls/data/raw/brazil/CRP-02/2019-08-28.001.PROJ/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 12752177054, "numberOfFiles": 707, "fileFormat": "Point cloud data in RIEGL proprietry .rxp format, image data in .jpg format and matrix data in text file" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12279/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4740/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43637/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30128/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210031/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210032/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210025/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210026/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210027/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210028/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210029/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210030/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210033/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/43937/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 43946, "uuid": "eb8191228ff84aa285cd02cb66553ab0", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Sea Ice: drift-aware sea-ice thickness for the Southern Hemisphere from CryoSat-2, v1.0", "abstract": "This dataset provides daily drift-aware sea ice freeboard and thickness maps, using satellite altimetry data from CryoSat-2, covering the entire Antarctic sea ice domain. Daily files are provided during austral summer seasons (October to April).\r\n\r\nNeglecting sea ice drift when generating monthly sea ice thickness maps from satellite altimetry will cause blurring of the spatial distribution of ice thickness. We therefore suggest synergizing sea ice freeboard and thickness information from satellite altimetry with sea ice drift estimates from passive microwave satellite sensors. With our approach, we successively advect individual parcels of satellite altimeter measurements daily over a time span of one month to obtain drift-aware sea ice freeboard and thickness maps. Because of the drift correction, we can also determine sea ice that was overflown by the satellite multiple times. This allows to estimate growth rates and changes in the sea ice thickness distribution due to deformation and thermodynamic ice growth between satellite overflights. With the estimation of sea ice growth, measurements can be corrected for the time offset between the acquisition day and the target day, the day to which all measurements within a month are projected.\r\n\r\nNORCE, METNO", "keywords": "Sea Ice, ESA, CCI, Arctic, Drift Aware", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "pending", "result_field": null, "timePeriod": null, "geographicExtent": null, "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were processed by the ESA CCI Sea Ice project team and were supplied to CEDA in the context of the ESA CCI Open Data Portal Project.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/14368/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/14367/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210034/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210035/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210036/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210037/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210038/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210039/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210040/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210041/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210042/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 43947, "uuid": "97791d46330b42838af744301c74a9fb", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Drift-aware sea-ice thickness for the Northern Hemisphere from Envisat, v1.0", "abstract": "This dataset provides daily drift-aware sea ice freeboard and thickness maps, using satellite altimetry data from Envisat, covering the entire Arctic sea ice domain. Daily files are provided during boreal winter seasons (October to April).\r\n\r\nNeglecting sea ice drift when generating monthly sea ice thickness maps from satellite altimetry will cause blurring of the spatial distribution of ice thickness. This dataset synergizes sea ice freeboard and thickness information from satellite altimetry with sea ice drift estimates from passive microwave satellite sensors. Individual parcels of satellite altimeter measurements are advected daily over a time span of one month to obtain drift-aware sea ice freeboard and thickness maps. Because of the drift correction, this allows the determination of sea ice that was overflown by the satellite multiple times, and therefore the estimation of growth rates and changes in the sea ice thickness distribution due to deformation and thermodynamic ice growth between satellite overflights. With the estimation of sea ice growth, measurements can be corrected for the time offset between the acquisition day and the target day, the day to which all measurements within a month are projected.\r\n\r\nThese data have been produced as part of the European Space Agency (ESA)'s Climate Change Initiative (CCI) programme, as part of the ESA CCI Sea Ice project.", "keywords": "Sea Ice, ESA, CCI, Arctic, Drift Aware", "publicationState": "citable", "dataPublishedTime": "2025-05-21T14:15:19", "doiPublishedTime": "2025-05-21T14:28:37", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44182/?format=api", "dataPath": "/neodc/esacci/sea_ice/data/drift_aware_sea_ice_thickness/L3C/envisat/v1.0/NH", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 6038255208, "numberOfFiles": 1213, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12371/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4783/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63576/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74945/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74946/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75280/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75287/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85586/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85587/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85588/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85589/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85590/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85591/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85592/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85593/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85594/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85595/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85596/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85597/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85598/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85599/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85600/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85601/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85602/?format=api" ], "dataLineage": "Data were processed by the ESA CCI Sea Ice project team and were supplied to CEDA in the context of the ESA CCI Open Data Portal. The following organisations were involved in the Sea_Ice_CCI project which resulted in production of this dataset: NORCE Norwegian Research Centre, Norwegian Meteorological Institute, Alfred Wegener Institute.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13392/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/14368/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/14367/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210045/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210049/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210050/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210043/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210044/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210046/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210047/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210048/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210051/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211260/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211261/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211262/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/44352/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2573/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_seaice_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 43948, "uuid": "e74c6b7eb76645ed8b1b88ecb3d6dcc8", "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Sea Ice: drift-aware sea-ice thickness for the Southern Hemisphere from Envisat, v1.0", "abstract": "This dataset provides daily drift-aware sea ice freeboard and thickness maps, using satellite altimetry data from Envisat, covering the entire Antarctic sea ice domain. Daily files are provided during austral summer seasons (October to April).\r\n\r\nNeglecting sea ice drift when generating monthly sea ice thickness maps from satellite altimetry will cause blurring of the spatial distribution of ice thickness. We therefore suggest synergizing sea ice freeboard and thickness information from satellite altimetry with sea ice drift estimates from passive microwave satellite sensors. With our approach, we successively advect individual parcels of satellite altimeter measurements daily over a time span of one month to obtain drift-aware sea ice freeboard and thickness maps. Because of the drift correction, we can also determine sea ice that was overflown by the satellite multiple times. This allows to estimate growth rates and changes in the sea ice thickness distribution due to deformation and thermodynamic ice growth between satellite overflights. With the estimation of sea ice growth, measurements can be corrected for the time offset between the acquisition day and the target day, the day to which all measurements within a month are projected.\r\n\r\nNORCE, METNO", "keywords": "Sea Ice, ESA, CCI, Arctic, Drift Aware", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "pending", "result_field": null, "timePeriod": null, "geographicExtent": null, "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were processed by the ESA CCI Sea Ice project team and were supplied to CEDA in the context of the ESA CCI Open Data Portal Project.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/14368/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/14367/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210052/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210053/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210054/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210055/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210056/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210057/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210058/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210059/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210060/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 43949, "uuid": "1586484320b24ce887290468dafb8b28", "title": "TLS-ARCH terrestrial laser scanner data; branch scan projects from Australia, Brazil and Malaysia, June 2018 - July 2019", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations. Approximately 600 branches were harvested, had their leaves removed and were scanned in a controlled environment. More information can be found in Wilkes et al. 2021. Terrestrial laser scanning to reconstruct branch architecture from harvested branches in the documentation section. \r\n\r\nA RIEGL VZ-400 terrestrial laser scanner (RIEGL Laser Measurement Systems GmbH) was used for all scans. In all, 1–6 branches (dependent on branch size) were arranged in a group, orientated so that they would not touch each other or the ground, and scanned simultaneously. Branches were secured in the end of metal tubing and placed in buckets of sand to minimise movement. Fiducial markers (akin to QR codes) were placed on the floor to allow identification of each branch in post-processing. The markers include a pattern of four retroreflective stickers (10 mm ∅) which were used to co-register scans. Between four and six scan positions (collectively known as a project), located around the branches, were used to capture each set of branches. At each position, a single scan was performed where the scanner rotation axis was approximately perpendicular to the ground plane. A 100 degrees × 80 degrees field of view was captured at an angular resolution of 0.02 degrees ; each scan took 2:45 min where ∼20M laser pulses were fired. \r\n\r\nThe VZ-400 beam has an exit diameter of 0.007 m and a beam divergence of 0.35 mrad; branches were at a maximum distance of 5 m from the scanner, and at this distance maximum cross-sectional beam diameter is ∼0.01 m. The scanning area needed to be large enough to allow easy movement around the branches and minimum distance between the scanner and target (for the RIEGL VZ-400, this is 0.5 m). It should be noted, owing to the restricted scanning field of view, large or featureless areas required additional ‘features’ (e.g. furniture in the scanning field of view) to assist with registration. Initially, scanning was performed outside but it became clear that branch tips would oscillate even with very low wind speeds; therefore, scanning was moved to an indoor space. Co-registration of scans in a project is a two-step process (coarse- and fine-registration) that produces a 4 × 4 roto-transformation matrix for each scan position. When applied, a scan is rotated into a common, arbitrary coordinate system (nominally referenced to the first scan position). \r\n\r\nCo-registration of a project was done using RiSCAN Pro (version 2.5.1; RIEGL Laser Measurement Systems GmbH). Coarse registration was achieved using the retro-reflective stickers on the corners of the fiducial markers. Fine registration was computed using RiSCAN Pro’s Multi-Station Adjustment (MSA) method (RIEGL Laser Measurement Systems GmbH, 2019). MSA fits a set of planes to a point cloud by iteratively voxelising the point cloud, with each iteration voxel edge length decreases until plane fit error is below a specified threshold (or no plane is fit if voxel edge of minimum number of point thresholds are exceeded). Here voxel edge length decreased from 1.024 to 0.064 m, minimum points were 10 and maximum plane error was 0.006 m; this resulted in 7,000– 20,000 planes per scan position. MSA then uses a least square solution to iteratively adjust scan position to minimise positional error between overlapping planes.", "keywords": "terrestrial laser scanner, TLS-ARCH, Branches, Australia, Gabon, Malaysia Biomass", "publicationState": "published", "dataPublishedTime": "2025-05-23T11:11:59", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43951/?format=api", "dataPath": "/neodc/tls/data/raw/branches-tls", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 206588777176, "numberOfFiles": 5424, "fileFormat": "Point cloud data in RIEGL proprietry .rxp format, image data in .jpg format and matrix data in text file." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12147/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4742/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43637/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30128/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210067/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210068/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210061/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210062/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210063/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210064/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210065/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210066/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/43950/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 43952, "uuid": "9cbc9b1875474d65ad1e4697007e88b7", "title": "CALIPSO: Cloud and Aerosol Lidar Level 2 Vertical Feature Mask Version 4-51 Product (CAL_LID_L2_VFM-Standard-V4-51)", "abstract": "The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) was a joint mission between NASA and the French space agency Centre National d'Etudes Spatiales. 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"COSHAIR: UK Integrated Assessment Model (UKIAM) Maps of PM2.5 and NO2 Concentrations", "abstract": "The Community Scenarios Of Hydrogen Energy And Impacts On Air Pollution (COSHAIR) examines a range of scenarios from 01/01/2020 to 01/01/2050 with different levels of hydrogen take-up, in different sectors, to understand the consequences for air pollution. The scenarios investigate the potential implications of hydrogen production and use in the energy system on UK air pollution. These scenarios were produced using the UK TIMES energy system model at University College London. This represents all substantive UK energy flows and greenhouse gas emissions. \r\nThe UK Integrated Assessment Model (UKIAM) at Imperial College was used to examine the changes in air quality that might occur in the future due to adopting hydrogen in the scenarios. \r\nData contains the ASCII files, compatible with QGIS, for the spatially apportioned UK concentrations of PM2.5 (particulate matter with a diameter of 2.5 micrometres or less) and NO2 (Nitrogen Dioxide) using the UKIAM framework. \r\nThe supporting information provides full descriptions of the scenario names:\r\n\r\nNDB - No Decarbonisation Baseline (no hydrogen, non-net zero)\r\nNZC - Net Zero Counterfactual (net zero, no hydrogen)\r\nLS - Likely Scenario (net zero, limited hydrogen)\r\nLPS - Likely and Possible Scenario (net zero, higher hydrogen)\r\nUS - Unlikely Scenario (net zero, highest hydrogen)", "keywords": "Air pollution modelling,Fine particulate matter,Nitrogen dioxide,Spatial mapping", "publicationState": "published", "dataPublishedTime": "2025-09-30T10:53:28", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44849/?format=api", "dataPath": "/badc/deposited2025/COSHAIR_UKIAM_Maps/COSHAIR_UKIAM_Maps", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 197694809, "numberOfFiles": 53, "fileFormat": "ASCII" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12347/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4747/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "- Activity data produced from UK TIMES\r\n- Emission factors applied to activity data - predominantly emission factors from the National Atmospheric Emissions Inventory as well as comprehensive review of emission factors for hydrogen energy\r\n- Non-energy emissions sources taken from National Atmospheric Emissions Inventory baseline projections to 2040, carried forward to 2050\r\n- Emissions files fed into UKIAM for different scenarios and years", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43994/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210360/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210361/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210362/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210363/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210364/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210365/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210366/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214791/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210367/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210368/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210369/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210370/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210371/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210372/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210373/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210374/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/43995/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43996, "uuid": "ff5c7123668044be9876d6e690517990", "title": "CALIPSO: Cloud and Aerosol Lidar Level 2 1km Cloud Layer Version 4-51 Product (CAL_LID_L2_01kmCLay-V4-51)", "abstract": "The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) was a joint-mission between NASA and the French space agency Centre National d'Etudes Spatiales. The main objectives of the mission was to supply unique data set of vertical cloud and aerosol profiles.\r\n\r\nThis dataset contains cloud and aerosol lidar level 2 1km cloud layer version 4-51 data product, which provides cloud data derived from Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) Level 1B product at 1 km horizontal resolution, with full complement of diagnostic and quality assurance parameters. The data provides range of parameters including vertical profile of cloud layers, optical depth. \r\n\r\nCAL_LID_L2_01kmCLay-Standard-V4-51 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) Lidar Level 2 1 km Cloud Layer, Version 4-51 data product. Data for this product was collected using the CALIPSO Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument.\r\n\r\nWithin this layer product are two general classes of data: Column Properties (including position data and viewing geometry) and Layer Properties. The lidar layer products contain column descriptors associated with several layer descriptors. The column descriptors specify the temporal and geophysical location of the column of the atmosphere through which a given lidar pulse travels. Also included in the column descriptors are indicators of surface lighting conditions, information about the surface type, and the number of features (e.g., aerosol layers) identified within the column.\r\n\r\nThe CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National d'Etudes Spatiales).\r\n\r\nCALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. From June 13, 2006, to September 13, 2018, CALIPSO was part of the A-Train constellation for coincident Earth Observations. After September 13, 2018, the satellite was lowered from 705 to 688 km to resume flying in formation with CloudSat, called the C-Train.", "keywords": "NASA, CALIPSO, CALIOP, Cloud, Aerosol", "publicationState": "published", "dataPublishedTime": "2025-07-31T14:21:48", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43997/?format=api", "dataPath": "/neodc/caliop/data/l2_01kmclay/v4-51", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 7228424109344, "numberOfFiles": 161830, "fileFormat": "Data are HDF4 formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12297/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64153/?format=api", 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It covers seven major air pollutants that can affect human health and the environment. The data cover major air pollutants, including Nitrogen Dioxide (NO2), Nitric Oxide (NO), Nitrogen Oxides (NOx), Ozone (O3), Particulate Matter smaller than 10 micrometres (PM10) and smaller than 2.5 micrometres (PM2.5), and Sulphur Dioxide (SO2). Each air pollutant's concentrations are predicted not only as average (mean) values but also include estimates at lower (5th percentile), median (50th percentile), and upper (95th percentile) levels to highlight typical and potential extreme pollution scenarios.\r\n\r\nThe spatial coverage of the dataset includes the entire area of England, structured as an evenly spaced grid, with each grid square covering an area of 1 square kilometre (1 km x 1 km). Data points correspond to the centre of these grid squares. The complete air pollution England dataset includes hourly estimates for the entire year 2018, covering all 365 days and 24 hours of each day. There is also training data used for the model from real-world ambient air pollution monitoring stations, which encompasses the temporal period of 2014-2018, alongside the models used to make the predictions.\r\n\r\nThese pollution estimates were produced using a supervised machine learning method, which is a computational approach where algorithms are trained to identify patterns in historical data and apply these learned patterns to predict new data points. The predictions incorporated various environmental factors, including weather conditions (e.g., temperature, wind, precipitation), human activities (traffic patterns), satellite measurements, land-use types (urban, rural, industrial areas), and emission inventories (datasets detailing pollutants released into the atmosphere). Additionally, the dataset provides uncertainty intervals through percentile-based estimates, giving users insights into the reliability of the predictions.\r\n\r\nThis dataset was created to provide access to detailed, high-resolution estimates of actual air pollution concentrations across England. Unlike simpler models or general air quality scenarios, this dataset offers hour-by-hour predictions of air pollution levels at a fine spatial scale (1 km x 1 km), delivering a realistic and actionable understanding of air quality patterns at a resolution not previously available. By providing detailed, hourly estimates based on real-world environmental conditions and emissions data, the dataset makes it possible to support evidence-based decision-making and address essential challenges in regions where direct pollution measurements may not be available.\r\n\r\nThe dataset was created by Liam J. Berrisford at the University of Exeter during his PhD studies, supported by the UK Research and Innovation (UKRI) Centre for Doctoral Training in Environmental Intelligence. Full methodological details and data validation information are available in the associated open-access scientific publication. For more information about the data, see the README.md archived alongside this dataset.\r\n\r\nThis dataset provides hourly predictions of air pollution concentrations for England throughout the year 2018. These values are not direct measurements from monitoring stations but rather model-based estimates generated using a supervised machine-learning approach. The model was trained using real observations from the UK's national monitoring network, but it is capable of making predictions even in areas without any nearby monitoring stations. This means that the dataset offers complete spatial and temporal coverage, filling in gaps where no sensor data exists. 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It was created using a supervised machine learning model, a type of artificial intelligence that learns patterns from existing data and applies those patterns to predict unknown values. Historical data from ambient air pollution monitoring stations across England were used to train the machine learning model. Input data included meteorological factors (such as wind speed and temperature), traffic activity levels, land-use information, satellite-based measurements, and emissions data. 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During mission AS5M094, the AUV was programmed to replicate 22 parallel 2 km long transect lines in a site located 100 km South from the northern border of the UK-1 exploration area. The Grasshopper2 GS2-GE-50S5C camera mounted on the AUV collected vertically orientated still images at a target altitude of 3 m above the seabed, with one image being captured per second. Images within similar terrain feature (slope < 1.5°) were randomly subsampled. These images were colour corrected to enhance visual fidelity and converted from original 8-bit RAW to JPG images. The final image set was inspected for overlap, which was non-existent. The image set was subsequently annotated using the online platform BIIGLE to derive seabed community composition. 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No quality control procedures were applied by BODC.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13297/?format=api" ], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210400/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210399/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210397/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210396/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210395/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210401/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210402/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210403/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210398/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210405/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210406/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 44002, "uuid": "56c26ec4b90e455788e4724d22fd5d92", "title": "PyLag particle tracking model of retrospective particles in the North Sea during two contrasting years (2014 and 2017)", "abstract": "This dataset uses the PyLag particle tracking model to simulate the ecological connectivity of benthic species in the northern North Sea during two contrasting years (2014 and 2017) to highlight seasonal to annual variability. The particles were released each day and run for 90 days. In the Retrospective Particle Tracks dataset a methodology of releasing an extensive set of particles over a wide area was used. This means the sets of particle tracks can be interrogated to understand connectivity between any two locations in the domain. This could be useful to understand if new human-made structures placed in any locations in the northern North Sea could potentially affect the ecological connectivity or different species with a maturity window up to 90 days. The particle tracks include location, time, age and water temperature. The data were generated under the Natural Environment Research Council (NERC) project CHASANS (Connectivity of Hard Substrate Assemblages in the North Sea) grant reference: NE/T010886/1.", "keywords": "", "publicationState": "citable", "dataPublishedTime": "2025-04-09T15:11:00", "doiPublishedTime": "2025-04-09T15:11:00", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44001/?format=api", "dataPath": "/bodc/pol250716", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 15710031960546, "numberOfFiles": 732, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12306/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4751/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85514/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85515/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85516/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85517/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85518/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85519/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85520/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85521/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85522/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85523/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85524/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85525/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85526/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85527/?format=api" ], "dataLineage": "The data are archived on the British Oceanographic Data Centre (BODC)'s space at the Centre for Environmental Data Analysis (CEDA) and assigned a DOI. No quality control procedures were applied by BODC.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13298/?format=api" ], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210410/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210412/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210411/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210409/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210408/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210407/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210413/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210414/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210415/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210416/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210417/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 44006, "uuid": "f1a3880206be41e5a5fe8b60c46b8ed8", "title": "High-resolution bathymetry, seafloor texture maps, and colour corrected images from the Greater Haig Fras Marine Protected Area (MPA) and the South West Deeps (East) MPA collected during RRS Discovery cruise DY152 with BioCam", "abstract": "The dataset contains BioCam visual seafloor mapping device data collected between 12th to 21st July 2022 in the Greater Haig Fras Marine Protected Area (MPA) and the South West Deeps (East) MPA collected by the University of Southampton and the National Oceanography Centre (NOC) on RRS Discovery cruise DY152, as part of the NERC Oceanids Marine Sensor Capital program (grant reference NE/P020887/1, BioCam - Mapping of Benthic Biology, Geology and Ecology with Essential Ocean Variables). These data were collected using the BioCam seafloor mapping device mounted to the 6000 m rated Autosub Long Range (ALR) Autonomous Underwater Vehicle (AUV). This includes colour corrected strobed images, cm-resolution bathymetry maps and texture maps. To collect colour imagery, a strobe was mounted at the front and another one at the back of the Autonomous Underwater Vehicle (AUV) and were used to illuminate the seafloor when the colour camera of BioCam, mounted at the centre of the AUV, acquired those images once every 3s. The strobed colour images were stored in raw format along with their timestamps. A line laser mounted at the front and another one mounted at the back of the AUV projected lines onto the seafloor at the same time. The lasers were permanently on, except when the strobes were triggered, when they were briefly turned off to avoid projecting the laser lines onto the strobed colour photos. Images of the laser line projection were acquired at 10 Hz and saved along with their timestamps. Post mission, the strobed images were colour corrected with an algorithm implemented in oplab-pipeline in post processing. Bathymetric data were computed using the laser line images that were processed with a light-sectioning algorithm published by Bodenmann, Thornton and Ura (2016). Texture maps were generated by projecting the colour-corrected images onto the 3D reconstructed bathymetry as detailed by Bodenmann, Thornton and Ura (2016).", "keywords": "Geoscientific information, Visual seafloor mapping, 3D reconstruction, Laser scanning, Environmental monitoring, Elevation, Oceans, Biota", "publicationState": "citable", "dataPublishedTime": "2025-04-11T10:05:42", "doiPublishedTime": "2025-04-11T10:05:42", "updateFrequency": "", "status": "final", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44005/?format=api", "dataPath": "/bodc/smi250825/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 307259813509, "numberOfFiles": 76359, "fileFormat": ".jpg; .tiff; .xlsx; .csv" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12307/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4752/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "The data are archived on the British Oceanographic Data Centre (BODC)'s space at the Centre for Environmental Data Analysis (CEDA) and assigned a DOI. No quality control procedures were applied by BODC.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13299/?format=api" ], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210425/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210421/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210423/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210420/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210419/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210418/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210424/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210426/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210422/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210428/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210427/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210429/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 44008, "uuid": "c3d8e244e20545c88f9d7cee9ec2212b", "title": "High-resolution bathymetry, seafloor texture maps, and colour corrected images from two sites in the North Sea collected during the INSITE ATSEA shore-launched Autonomous Underwater Vehicle (AUV) campaign with BioCam", "abstract": "The dataset contains BioCam visual seafloor mapping device from data collected between 23rd September to 5th October 2022. These data were collected by the University of Southampton and the National Oceanography Centre (NOC) as part of the INSITE (Influence of man-made structures in the ecosystem) AT-SEA (Autonomous Techniques for anthropogenic Structure Ecological Assessment NE/T010649/1) project. Two shore-launched Autonomous Underwater Vehicles (AUVs) deployments were conducted in the North Sea, at the site of the decommissioned North West Hutton oil platform and Miller platform. These data include colour corrected strobed images, and cm-resolution bathymetry maps and texture maps. These data were collected using the BioCam seafloor mapping device mounted to the 6000 m rated Autosub Long Range (ALR). To collect colour imagery, a strobe was mounted at the front and another one at the back of the Autonomous Underwater Vehicle (AUV) and were used to illuminate the seafloor when the colour camera of BioCam, mounted at the centre of the AUV, acquired those images once every 3s. The strobed colour images were stored in raw format along with their timestamps. A line laser mounted at the front and another one mounted at the back of the AUV projected lines onto the seafloor at the same time. The lasers were permanently on, except when the strobes were triggered, when they were briefly turned off to avoid projecting the laser lines onto the strobed colour photos. Images of the laser line projection were acquired at 10 Hz and saved along with their timestamps. Post mission, the strobed images were colour corrected with an algorithm implemented in oplab-pipeline in post processing. Bathymetric data were computed using the laser line images that were processed with a light-sectioning algorithm published by Bodenmann, Thornton and Ura (2016). Texture maps were generated by projecting the colour-corrected images onto the 3D reconstructed bathymetry as detailed by Bodenmann, Thornton and Ura (2016).", "keywords": "Geoscientific information, Visual seafloor mapping, 3D reconstruction, Laser scanning, Environmental monitoring, Elevation, Oceans, Biota", "publicationState": "citable", "dataPublishedTime": "2025-04-11T10:05:42", "doiPublishedTime": "2025-04-11T10:05:42", "updateFrequency": "", "status": "final", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44007/?format=api", "dataPath": "/bodc/smi250826/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 272442163667, "numberOfFiles": 60694, "fileFormat": ".jpg; .tiff; .xlsx; .csv" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12308/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4753/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "The data are archived on the British Oceanographic Data Centre (BODC)'s space at the Centre for Environmental Data Analysis (CEDA) and assigned a DOI. No quality control procedures were applied by BODC.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13300/?format=api" ], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210441/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210435/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210438/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210437/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210433/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210432/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210431/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210430/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210436/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210434/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210440/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210439/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 44010, "uuid": "f334697aa6f24a11a29229c3fedf4746", "title": "piClim-370-EAS126aer data produced by the CNRM-ESM2-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the piClim-370-EAS126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CNRM-ESM2-1. It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe piClim-370-EAS126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over East Asia are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested. East Asia is the region bounded by 95 and 133E and 20 and 53N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "dataPublishedTime": "2025-05-14T15:57:21", "doiPublishedTime": "2025-09-15T15:16:02.542769", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44011/?format=api", "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CNRM-CERFACS/CNRM-ESM2-1/piClim-370-eas126aer/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 53066514769, "numberOfFiles": 88, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12679/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4680/?format=api", "nonGeographicFlag": false, "phenomena": [ 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Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. \r\n\r\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13546/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43444/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43889/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210463/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210464/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210465/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210461/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210462/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210466/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210467/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210468/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/43448/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2519/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 44016, "uuid": "f01914a2763641619ac637eb27ad409d", "title": "piClim-370-126aer data produced by the CNRM-ESM2-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the piClim-370-126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CNRM-ESM2-1. It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe piClim-370-126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Global aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. 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These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "dataPublishedTime": "2025-05-14T15:58:47", "doiPublishedTime": "2025-09-15T15:15:22.499551", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44017/?format=api", "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CNRM-CERFACS/CNRM-ESM2-1/piClim-370-126aer/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 53000609225, "numberOfFiles": 88, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12679/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4680/?format=api", "nonGeographicFlag": false, "phenomena": [ 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Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. \r\n\r\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13545/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43444/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43889/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210469/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210470/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210471/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210474/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210472/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210473/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210475/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210476/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/43448/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2519/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 44018, "uuid": "2dc9d53fa44e41c1b25f06c3a1be2374", "title": "piClim-370 data produced by the CNRM-ESM2-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the piClim-370 experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CNRM-ESM2-1. It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe piClim-370 experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Global anthropogenic forcing is taken from year 2050 of the ScenarioMIP SSP3-7.0 experiment. At least 30 years are requested. \r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nCNRM-ESM2-1: The Earth system model of second generation (ESM2) developed by CNRM-CERFACS (Centre National de Recherches Météorologiques (CNRM) and Centre Européen de Recherche et Formation Avancée en Calcul Scientifique (CERFACS).)\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "dataPublishedTime": "2025-04-28T14:59:02", "doiPublishedTime": "2025-09-15T15:14:57.902689", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44019/?format=api", "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/CNRM-CERFACS/CNRM-ESM2-1/piClim-370", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 53085406443, "numberOfFiles": 88, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12679/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4680/?format=api", "nonGeographicFlag": false, "phenomena": [ 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Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. \r\n\r\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13544/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43444/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43889/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210477/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210478/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210479/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210480/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210481/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210482/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210483/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210484/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/43448/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2519/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 44022, "uuid": "6b1c3160b1df40728b6331dd46cd5905", "title": "SSP370-126aer data produced by the CESM2 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CESM2. It contains NetCDF output from coupled transient simulations. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-126aer coupled transient experiment runs from 2015 to 2079. Global aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nCESM2 ocean variables are archived separately as raw model output (uncmorised) and linked in the Details/Docs section of this catalogue record.\r\n\r\nAcronyms\r\n------------\r\nCESM2: the Community Earth System Model 2 hosted at the National Centre for Atmospheric Research (NCAR) in the US. \r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "dataPublishedTime": "2025-05-15T10:58:10", "doiPublishedTime": "2026-02-20T10:24:24.866505", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44023/?format=api", "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/NCAR/CESM2/ssp370-126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1538920041055, "numberOfFiles": 851, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12043/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4678/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api", 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The baseline SSP370 RAMIP experiment comes directly from the CESM2-LE project. In particular, CESM2 RAMIP uses 10 of the macroperturbation runs (i.e., each ensemble member is initialized from a different year in the preindustrial control simulation) that use an 11-year running mean filter to smooth the CMIP6 biomass burning emissions, including members\r\n\r\nAnthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13738/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43444/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/44020/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210525/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210526/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210527/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210528/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210529/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210530/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210531/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210532/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/43461/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2519/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 44033, "uuid": "f985321e45cc46a09397cd14dea9b005", "title": "SSP370-EAS126aer data produced by the MRI-ESM2-0 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-EAS126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using MRI-ESM2-0. It contains NetCDF output from coupled transient simulations. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-EAS126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over East Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. East Asia is the region bounded by 95 and 133E and 20 and 53N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. 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Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. 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These are identified with new \r\nvariable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\n Fixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. \r\n\r\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.\r\nData were prepared by the project team before archival at CEDA.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13550/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43444/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/44045/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211567/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210610/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210611/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210608/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210614/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210609/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210612/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210613/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210615/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210616/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210617/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/43450/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2519/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 44049, "uuid": "32d7df1eaedc49f3ac91758332b95245", "title": "SSP370-NAE126aer data produced by the CanESM5-1 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-NAE126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CanESM5.1. It contains NetCDF output from coupled transient simulations with global aerosol reductions. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe SSP370-NAE126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over North America and Europe are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. North America and Europe are the regions bounded by 150W, 45W, 25N and 70N, and 20W, 45E, 35N, and 70N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nCanESM5-1: The Canadian Earth System Model version 5.1\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.", "keywords": "aerosol, extremes, near-term projections, RAMIP", 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It contains NetCDF output from coupled transient simulations with global aerosol reductions. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe SSP370-AFR126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over Africa and the Middle East are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. Africa and the Middle East is the region bounded by 20W, 60E, 35S, and 35N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nCanESM5-1: The Canadian Earth System Model version 5.1\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.", "keywords": "aerosol, extremes, near-term projections, RAMIP", 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It contains NetCDF output from coupled transient simulations with global aerosol reductions. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe SSP370-SAS126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over South Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. South Asia is the region bounded by 65 and 95E and 5 and 35N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nCanESM5-1: The Canadian Earth System Model version 5.1\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.", "keywords": "aerosol, extremes, near-term projections, RAMIP", 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It contains NetCDF output from coupled transient simulations with global aerosol reductions. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-126aer coupled transient experiment runs from January 2015 to at least February 2051. Global aerosol and precursor emissions (SO2, black carbon and organic carbon) are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "working", "dataPublishedTime": null, 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These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/ \r\n\r\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43444/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/44057/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210683/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210684/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210685/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210680/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210681/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210682/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210679/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210686/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210687/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210688/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/43452/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2519/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 44063, "uuid": "b2986f80b2cf4d6e9da987710a086e49", "title": "SSP370-AFR126aer data produced by the GISS-E2-1-G model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-AFR126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using GISS-E2.1G. It contains NetCDF output from coupled transient simulations with global aerosol reductions. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-AFR126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over Africa and the Middle East are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. Africa and the Middle East is the region bounded by 20W, 60E, 35S, and 35N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "working", "dataPublishedTime": null, 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Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. \r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. \r\n\r\nData are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. 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It contains NetCDF output from coupled transient simulations with global aerosol reductions. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-EAS126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over East Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. East Asia is the region bounded by 95 and 133E and 20 and 53N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "working", "dataPublishedTime": null, 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