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=10000
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "count": 10253,
    "next": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=10100",
    "previous": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=9900",
    "results": [
        {
            "ob_id": 44677,
            "uuid": "6ab837fc79e4487a9930a221b294df01",
            "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): 3-Hourly Multisensor Infra-Red (IR) Low Earth Orbit (LEO) and Geostationary Earth Orbit (GEO) land surface temperature (LST) level 3 supercollated (L3S) global product, version 3.00",
            "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from multiple Infra-Red (IR) instruments on satellites in Geostationary Earth Orbit (GEO) and Low Earth Orbiting (LEO) sun-synchronous (a.k.a. polar orbiting) satellites. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nLST fields are provided at 3 hourly intervals each day (00:00 UTC, 03:00 UTC, 06:00 UTC, 09:00 UTC, 12:00 UTC, 15:00 UTC, 18:00 UTC and 21:00 UTC). Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and the solar geometry angles.\r\n\r\nThe product is based on merging of available GEO data and infilling with available LEO data outside of the GEO discs. Inter-instrument biases are accounted for by cross-calibration with the IASI instruments on METOP and LSTs are retrieved using a Generalised Split Window algorithm from all instruments. As data towards the edge of the GEO disc is known to have greater uncertainty, any datum with a satellite zenith angle of more than 60 degrees is discarded. All LSTs included have an observation time that lies within +/- 30 minutes of the file nominal Universal Time.\r\n\r\nData from the following instruments is included in the dataset: geostationary, Imagers on Geostationary Operational Environmental Satellite (GOES) 12 and GOES 13, Advanced Baseline Imager (ABI) on GOES 16, Japanese Advanced Meteorological Imager (JAMI) on Multifunctional Transport Satellite MTSAT) 1 and MTSAT 2, Advanced Himawari Imager (AHI) on Himawari 8 and Himawari 9 ; and polar, Moderate-resolution Imaging Spectroradiometer (MODIS) on Earth Observation System (EOS) - Aqua and EOS - Terra, Along-Track Scanning Radiometer 2 (ATSR-2) on European Remote-sensing Satellite 2 (ERS-2), Advanced Along-Track Scanning Radiometer (AATSR) on Environmental Satellite (Envisat), Sea and Land Surface Temperature Radiometer (SLSTR) on Sentinel-3A and Sentinel-3B, Advanced Very High Resolution Radiometer (AVHRR) on Metop-A, and Visible Infra-red Imaging Radiometer Suite(VIIRS) on Suomi National Polar-orbiting Partnership (Suomi NPP) . However, it should be noted that which instruments contribute to a particular product file depends on depends on mission start and end dates and instrument downtimes.\r\n\r\nDataset coverage starts on 24th January 2004 and ends on 31st December 2023.\r\n\r\nLSTs are provided on a global equal angle grid at a resolution of 0.05° longitude and 0.05° latitude. The dataset coverage is nominally global over the land surface but varies depending on satellite and instrument availability and coverage. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nThis version of the dataset (Version 3.00) extends the temporal coverage to the end of 2023. An extension of the dataset to the end of 2024 is planned in the future.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using a Generalised Split Window retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards.",
            "keywords": "land surface temperature, ESA, CCI",
            "publicationState": "citable",
            "dataPublishedTime": "2026-01-26T18:16:04",
            "doiPublishedTime": "2026-02-18T09:37:31.319063",
            "updateFrequency": "irregular",
            "status": "ongoing",
            "result_field": {
                "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/45226/?format=api",
                "dataPath": "/neodc/esacci/land_surface_temperature/data/MULTISENSOR_IRMGP/L3S/0.05/v3.00/daily/",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 1668115316900,
                "numberOfFiles": 58239,
                "fileFormat": "Data are in NetCDF format"
            },
            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12569/?format=api",
            "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2896/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62778/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62779/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62780/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62781/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62790/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62791/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62792/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66303/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66305/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66308/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66310/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66311/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66312/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66754/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92729/?format=api"
            ],
            "dataLineage": "The data record has been produced by the University of Leicester working within the ESA Land Surface Temperature Climate Change Initiative (LST_cci), and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). \r\nContact: data.lst-cci@acri-st.fr",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13728/?format=api"
            ],
            "projects": [
                "https://api.catalogue.ceda.ac.uk/api/v2/projects/33361/?format=api"
            ],
            "observationcollection_set": [],
            "responsiblepartyinfo_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213960/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213961/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213962/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213963/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213964/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213965/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213966/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213967/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213968/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213969/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213972/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213970/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213973/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213971/?format=api"
            ],
            "procedureAcquisition": null,
            "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/44682/?format=api",
            "procedureComputation": null,
            "permissions": [
                {
                    "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2558/?format=api",
                    "useLimitation": null,
                    "accessConstraints": null,
                    "accessCategory": "public",
                    "accessRoles": null,
                    "label": "public: None group",
                    "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_lst_terms_and_conditions.pdf",
                    "licenceClassifications": ""
                }
            ],
            "discoveryKeywords": [
                {
                    "ob_id": 1140,
                    "name": "ESACCI"
                }
            ]
        },
        {
            "ob_id": 44688,
            "uuid": "d1929f1241e24d3cade8e933ed1f1ff8",
            "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Daily land surface temperature from AVHRR-3 (Advanced Very High Resolution Radiometer-3) on NOAA-15  (National Oceanic and Atmospheric Administration), level 3 collated (L3C) global product (1998-2010), version 1.50",
            "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from the Advanced Very High Resolution Radiometer-3 (AVHRR-3) on NOAA-15. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nSeparate files are provided for temperatures retrieved from descending and ascending orbits. Descending and ascending equator crossing times were originally 07:30 and 19:30 local solar time but have been allowed to drift.\r\nThis product includes a time correction which can be added to the observed LST to correct to a consistent overpass time.\r\n\r\nPer pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.05° longitude and 0.05° latitude. AVHRR achieves full Earth coverage twice per day. LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 24th September 1998 and continues to 3rd July 2010. There are minor interruptions (1-10 days) during satellite/instrument maintenance periods or instrument anomalies.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using a two channel Generalised Split Window retrieval algorithm and data were processed in the UoL processing chain.",
            "keywords": "land surface temperature, ESA, CCI, AVHRR-3, NOAA-15",
            "publicationState": "citable",
            "dataPublishedTime": "2026-02-13T17:24:45",
            "doiPublishedTime": "2026-02-13T17:28:05",
            "updateFrequency": "notPlanned",
            "status": "completed",
            "result_field": {
                "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/45260/?format=api",
                "dataPath": "/neodc/esacci/land_surface_temperature/data/NOAA15_AVHRR/L3C/0.05/v1.50/daily/",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 489582821250,
                "numberOfFiles": 8085,
                "fileFormat": "Data are in NetCDF format"
            },
            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12570/?format=api",
            "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2896/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62778/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62779/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62780/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62781/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62790/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62791/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62792/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66303/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66304/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66305/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66308/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66310/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66311/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66312/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66751/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66753/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66754/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75124/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75126/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92764/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92765/?format=api"
            ],
            "dataLineage": "The AVHRR L1C FCDR data produced by the ESA CCI SST project were used as inputs. These data are processed by the University of Leicester: data are reformatted then processed to LSTs on an orbit swath, regridded to an equal angle grid, and collated to daily ascending and descending products at Level 3C.\r\n\r\nContact: data.lst-cci@acri-st.fr",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13720/?format=api"
            ],
            "projects": [
                "https://api.catalogue.ceda.ac.uk/api/v2/projects/33361/?format=api"
            ],
            "observationcollection_set": [],
            "responsiblepartyinfo_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214000/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214001/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214002/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214003/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214004/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214005/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214006/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214007/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214008/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214009/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214010/?format=api"
            ],
            "procedureAcquisition": null,
            "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/44694/?format=api",
            "procedureComputation": null,
            "permissions": [
                {
                    "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2558/?format=api",
                    "useLimitation": null,
                    "accessConstraints": null,
                    "accessCategory": "public",
                    "accessRoles": null,
                    "label": "public: None group",
                    "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_lst_terms_and_conditions.pdf",
                    "licenceClassifications": ""
                }
            ],
            "discoveryKeywords": [
                {
                    "ob_id": 1140,
                    "name": "ESACCI"
                }
            ]
        },
        {
            "ob_id": 44699,
            "uuid": "5bb0574394fa4e6d9195650d26dfc69a",
            "title": "ICECAPS-MELT: Manual snow density from two 1-m snow profiles in southwest Greenland (May 2024)",
            "abstract": "Manual snow density (km m-3) from two 1-m deep snow profile from southwest Greenland (Camp Raven, 66.48 N, 46.30 W, 2331 m asl) during Spring 2024. The snow profile measurements were made adjacent to an autonomous atmospheric and glaciological platform (the SLEIGH) as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) experiment. Manual snow density was measured using American Avalanche Association classifications and procedures (Snow, Weather, and Avalanche Guidelines, 4th Edition, 2022). Profile 1 was measured on 15 May 2024, 2-3 meters from the eventual SLEIGH installation. Profile 2 was measured on 18 May 2024, 20 m from the eventual SLEIGH installation.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council.",
            "keywords": "Greenland,Camp Raven,snow profile,snow,density,ICECAPS,ICECAPS-MELT, Greenland Ice Sheet",
            "publicationState": "citable",
            "dataPublishedTime": "2026-01-30T16:23:56",
            "doiPublishedTime": "2026-02-02T16:03:52.871496",
            "updateFrequency": "notPlanned",
            "status": "completed",
            "result_field": {
                "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/45219/?format=api",
                "dataPath": "/badc/icecaps-melt/data/202405CampRavenSnowDens1",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 3776,
                "numberOfFiles": 3,
                "fileFormat": "Data are BADC-CSV formatted"
            },
            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12613/?format=api",
            "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4849/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92721/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92722/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92723/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92724/?format=api"
            ],
            "dataLineage": "The mass of each snow sample was recorded in the field. The metal cutter volume was measured independent of manufacturer specifications. All computations were made away from deep field conditions. Density was computed as the mass (+/- 0.1 g, 1-sigma) divided by the volume (small cutter uncertainty = +/- 4 cm3, 1-sigma; large cutter uncertainty = +/- 10 cm3).",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13703/?format=api"
            ],
            "projects": [
                "https://api.catalogue.ceda.ac.uk/api/v2/projects/38309/?format=api"
            ],
            "observationcollection_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/44850/?format=api"
            ],
            "responsiblepartyinfo_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214021/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214798/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214023/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214024/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214025/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214026/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214027/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214022/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214956/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214028/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214029/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214030/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214031/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214032/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214033/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214034/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214035/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214036/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214037/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214038/?format=api"
            ],
            "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/44700/?format=api",
            "procedureCompositeProcess": null,
            "procedureComputation": null,
            "permissions": [
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                    "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": 44702,
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            "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Daily land surface temperature from AVHRR-3 (Advanced Very High Resolution Radiometer-3) on NOAA-16  (National Oceanic and Atmospheric Administration), level 3 collated (L3C) global product (2002-2010), version 1.50",
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            "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s vaisala-cl51 deployed at Praha, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11518.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n    \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities.",
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            "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from University of Cologne's vaisala-cl51 instrument deployed at Koln Zulpicher Wall, Germany",
            "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from University of Cologne's vaisala-cl51 deployed at Koln Zulpicher Wall, Germany.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-276-13-19987.\n",
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            "title": "ICECAPS-MELT: Permittivity-based snow density from two 1-m snow profiles in SW Greenland (May 2024)",
            "abstract": "Snow density (kg m-3) was measured using two different permittivity-based devices (FPGA Company SnowPro-40 and SnowPro-17 sensors) from two 1-m deep snow profiles from southwest Greenland (Camp Raven, 66.48 N, 46.30 W, 2331 m asl) during Spring 2024. The snow profile measurements were made adjacent to an autonomous atmospheric and glaciological platform (the SLEIGH) as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) experiment. Profile 1 was measured on 15 May 2024, 2-3 meters from the eventual SLEIGH installation. Profile 2 was measured on 18 May 2024, 20 m from the eventual SLEIGH installation.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council.",
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            "title": "Acoustic Doppler Velocimetry (ADV) and Terrestrial Laser Scan (TLS) flume data from laboratory experiments in February and March 2023",
            "abstract": "This dataset consists of processed Acoustic Doppler Velocimetry (ADV) and Terrestrial Laser Scan (TLS) data of a sandy flume bed. The experiments were undertaken in the HR Wallingford laboratory in February and March 2023. Experiments were designed to investigate the generation of sandy bedforms in the wakes of offshore wind turbines, and the variation of bed shear stress due to both the bedforms and the monopiles. Two monopile sizes were used (0.25 m and 0.65 m) with a 1:20 scaling to field scale. Cleaned quarry sand was used to make the sand bed (0.2 m deep), of median diameter 0.245 mm, and 90th percentile 0.290 mm. Rock armour was created and placed around the monopiles to create realistic designs, this consisted of 10 mm grains of high-density rock (3000 kg/m3). Rock armour geometry can be found in the TLS scans. Data were collected by Bangor University, HR Wallingford and the National Oceanography Centre under the ECOWind ACCELERATE project funded by the Natural Environment Research Council (NERC) under reference NE/X008886/1.",
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            "title": "ICECAPS-MELT: Manual snow properties from two 1-m snow profiles in SW Greenland (May 2024)",
            "abstract": "Snow properties were measured in two 1-m deep snow profiles from southwest Greenland (Camp Raven, 66.48 N, 46.30 W, 2331 m asl) during Spring 2024. The snow profile measurements were made adjacent to an autonomous atmospheric and glaciological platform (the SLEIGH) as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) experiment. A layer identification was performed and then snow properties were measured: snow grain size, snow crystal habit/form, and hand hardness. Profile 1 was measured on 15 May 2024, 2-3 meters from the eventual SLEIGH installation. Profile 2 was measured on 18 May 2024, 20 m from the eventual SLEIGH installation.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council.",
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            ],
            "dataLineage": "Manual snow property measurements of snow grain size, snow crystal habit/form, and hand hardness were made using American Avalanche Association standards from Snow, Weather, and Avalanche Guidelines, 4th Edition, 2022. Snow grains > 0.5 mm were recorded to the nearest 0.5 mm, otherwise very fine grains recorded as 0.1, 0.3, 0.5 mm. The layer identification was done by sliding a snow crystal card downward through the snow pit face to test for changes in tensile strength. These layers were cross-checked against the visual appearance of each layer. The hand hardness classifications were converted to a 0-5 scale, with 0.5 increments allowed when the snow was determined to be in between two classifications.",
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            "ob_id": 44762,
            "uuid": "23bd97b1ac1e4e318234b2f2cab0892b",
            "title": "ICECAPS-MELT: Manual shear strength from two 1-m snow profiles in SW Greenland (May 2024)",
            "abstract": "Shear strength (kPa) was measured in two 1-m deep snow profiles from southwest Greenland (Camp Raven, 66.48 N, 46.30 W, 2331 m asl) during Spring 2024. The snow profile measurements were made adjacent to an autonomous atmospheric and glaciological platform (the SLEIGH) as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) experiment. Profile 1 was measured on 15 May 2024, 2-3 meters from the eventual SLEIGH installation. Profile 2 was measured on 18 May 2024, 20 m from the eventual SLEIGH installation.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council.",
            "keywords": "Greenland,Camp Raven,shear strength,ICECAPS,ICECAPS-MELT,snow profile,Greenland Ice Sheet",
            "publicationState": "citable",
            "dataPublishedTime": "2026-01-30T17:36:04",
            "doiPublishedTime": "2026-02-02T16:08:26.405976",
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                "volume": 3890,
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            "dataLineage": "Shear strength was measured using one of two shear frames (100 cm2, 250 cm2) with one of two fish hook scales (range 0-110 N and 0-250 N). The choice depended on the strength of the snow relative to the force scale range. The measurements were made using American Avalanche Association standards from Snow, Weather, and Avalanche Guidelines, 4th Edition, 2022. The measurements were made by preparing a column of snow approximately the same surface area as the shear frame. The shear frame was carefully tapped into the top of the snow column until flush. The fishhook scale was attached to shear frame and pulled such that the frame released in 1 s or less. Max force was recorded from the fishhook scale. Shear strength was computed as the ratio of the max force and shear frame cross-sectional area.",
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            "language": "English",
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        {
            "ob_id": 44765,
            "uuid": "71594a494413446bbfe4583be97fe41b",
            "title": "ICECAPS-MELT: Snow specific surface area from two 1-m snow profiles in SW Greenland (May 2024)",
            "abstract": "Snow specific surface area (SSA, m2/m3) was measured using an active near-infrared sensor (FPGA Company Infrasnow) from two 1-m deep snow profiles from southwest Greenland (Camp Raven, 66.48 N, 46.30 W, 2331 m asl) during Spring 2024. The snow SSA measurements were made adjacent to an autonomous atmospheric and glaciological platform (the SLEIGH) as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) experiment.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council.",
            "keywords": "Greenland,Camp Raven,Specific Surface Area,snow profile,ICECAPS,ICECAPS-MELT, Greenland Ice Sheet",
            "publicationState": "citable",
            "dataPublishedTime": "2026-01-30T17:32:57",
            "doiPublishedTime": "2026-02-02T15:53:56.621707",
            "updateFrequency": "notPlanned",
            "status": "completed",
            "result_field": {
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                "dataPath": "/badc/icecaps-melt/data/202405CampRavenSnowSSA",
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                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 2941,
                "numberOfFiles": 3,
                "fileFormat": "Data are BADC-CSV formatted"
            },
            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12611/?format=api",
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            ],
            "dataLineage": "The Infrasnow sensor was held vertically against the snow pit wall, then moved vertically downwards for each subsequent measurement. These sensors were calibrated by the manufacturer and delivered with appropriate calibration coefficients. Calibrations were applied after data were collected in the field.",
            "removedDataTime": null,
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            "language": "English",
            "identifier_set": [
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        {
            "ob_id": 44771,
            "uuid": "ace4b6a343ba49fe926492991848f960",
            "title": "SSP370 data produced by the EC-Earth3-AerChem model for the Regional Aerosol Model Intercomparison Project (RAMIP)",
            "abstract": "This record contains data for the SSP370 experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using EC-Earth3-AerChem. 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 ScenarioMIP SSP3-7.0 experiment includes moderate increases in greenhouse gas emissions, near constant global sulphur dioxide emissions, and small global increases in carbonaceous aerosol.\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\nEC-Earth3-AerChem: a global climate and Earth system model developed by a European consortium of meteorological services, research institutes, and high-performance computing centers.\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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            "dataPublishedTime": "2025-08-13T14:28:47",
            "doiPublishedTime": "2025-09-15T15:06:40.325272",
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            "title": "SSP370-126aer data produced by the EC-Earth3-AerChem model for the Regional Aerosol Model Intercomparison Project (RAMIP)",
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            "title": "SSP370-AFR126aer data produced by the EC-Earth3-AerChem model for the Regional Aerosol Model Intercomparison Project (RAMIP)",
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            "title": "SSP370-SAS126aer data produced by the EC-Earth3-AerChem model for the Regional Aerosol Model Intercomparison Project (RAMIP)",
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            "title": "ICECAPS-MELT: Permittivity-based snow density from a 1-m snow profile in SW Greenland (August 2024)",
            "abstract": "Snow density (kg m-3) was measured using two different permittivity-based devices (FPGA Company SnowPro-40 and SnowPro-17 sensors) from a 1-m deep snow profile from southwest Greenland (Camp Raven, 66.48 N, 46.30 W, 2331 m asl) during Spring 2024. The snow profile measurements were made adjacent to an autonomous atmospheric and glaciological platform (the SLEIGH) as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) experiment. This profile was made 2-3 m away from the SLEIGH.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council.",
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            "title": "ICECAPS-MELT: Manual snow properties from one 1-m snow profile in SW Greenland (August 2024)",
            "abstract": "Snow properties were measured in a 1-m deep snow profile from southwest Greenland (Camp Raven, 66.48 N, 46.30 W, 2331 m asl) during Spring 2024. The snow profile measurements were made adjacent to an autonomous atmospheric and glaciological platform (the SLEIGH) as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) experiment. The properties measured were snow grain size, snow crystal habit/form, and hand hardness. A layer identification was performed prior to these measurements. This profile was made 2-3 m away from the SLEIGH.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council.",
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            "abstract": "Shear strength (kPa) was measured in a 1-m deep snow profile from southwest Greenland (Camp Raven, 66.48 N, 46.30 W, 2331 m asl) during Summer 2024. The snow profile measurements were made adjacent to an autonomous atmospheric and glaciological platform (the SLEIGH) as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) experiment. This profile was made 2-3 m away from the SLEIGH.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council.",
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            "dataLineage": "Shear strength was measured using one of two shear frames (100 cm2, 250 cm2) with one of two fish hook scales (range 0-110 N and 0-250 N). The choice depended on the strength of the snow relative to the force scale range. The measurements were made using American Avalanche Association standards from Snow, Weather, and Avalanche Guidelines, 4th Edition, 2022. The measurements were made by preparing a column of snow approximately the same surface area as the shear frame. The shear frame was carefully tapped into the top of the snow column until flush. The fishhook scale was attached to shear frame and pulled such that the frame released in 1 s or less. Max force was recorded from the fishhook scale. Shear strength was computed as the ratio of the max force and shear frame cross-sectional area.",
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            "language": "English",
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            "ob_id": 44800,
            "uuid": "55467b8d0a314f408e73175d553fbdb1",
            "title": "ICECAPS-MELT: Snow specific surface area from a 1-m snow profile in SW Greenland (August 2024)",
            "abstract": "Snow specific surface area (SSA, m2/m3) was measured using an active near-infrared sensor (FPGA Company Infrasnow) from a 1-m deep snow profile from southwest Greenland (Camp Raven, 66.48 N, 46.30 W, 2331 m asl) during Summer 2024. The snow SSA measurements were made adjacent to an autonomous atmospheric and glaciological platform (the SLEIGH) as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) experiment. This profile was made 2-3 m away from the SLEIGH.\r\n\r\nThis work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council.",
            "keywords": "Greenland,Camp Raven,snow profile,specific surface area,ICECAPS,ICECAPS-MELT, Greenland Ice Sheet",
            "publicationState": "citable",
            "dataPublishedTime": "2026-01-30T17:31:16",
            "doiPublishedTime": "2026-02-02T15:55:10.223883",
            "updateFrequency": "notPlanned",
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                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 2102,
                "numberOfFiles": 2,
                "fileFormat": "Data are BADC-CSV formatted"
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            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12626/?format=api",
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                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92731/?format=api"
            ],
            "dataLineage": "The Infrasnow sensor was held vertically against the snow pit wall, then moved vertically downwards for each subsequent measurement. These sensors were calibrated by the manufacturer and delivered with appropriate calibration coefficients. Calibrations were applied after data were collected in the field.",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13698/?format=api"
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        {
            "ob_id": 44803,
            "uuid": "bd3bdca3c9a24553893cafffe768fe56",
            "title": "Model data produced by the GFDL-SPEAR_LO model for the Regional Aerosol Model Intercomparison Project (RAMIP)",
            "abstract": "This record contains data for the Regional Aerosol Model Intercomparison Project (RAMIP), produced using GFDL-SPEAR_LO. 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 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\nThis dataset is native GFDL Net-CDF output with no CMORisation applied.\r\n\r\nAcronyms\r\n------------\r\nGFDL-SPEAR_LO: SPEAR (Seamless System for Prediction and EArth System Research) was developed as a next generation GFDL modeling system for seasonal to multidecadal prediction and projection at the Geophysical Fluid Dynamics Laboratory (GFDL). \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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            "nonGeographicFlag": false,
            "phenomena": [],
            "dataLineage": "SPEAR_LO RAMIP simulations are based on the SPEAR_LO (https://www.gfdl.noaa.gov/spear/)  In particular, SPEAR_LO RAMIP uses 10 of the macroperturbation Historical runs (i.e., each ensemble member is initialized from a different year in the preindustrial control simulation). They are all branched off the historical simulation in 2011 and follow historical emissions/ghg values prior to 2015.",
            "removedDataTime": null,
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            "language": "English",
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                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214560/?format=api",
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                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214562/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214563/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214564/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214565/?format=api"
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        {
            "ob_id": 44811,
            "uuid": "2c107ff8ab5a432f89851db57e23bcbc",
            "title": "Copernicus Climate Change Service: Brokered ESA Cloud CCI Cloud Properties L3 data from the ATSR series, version 3.1",
            "abstract": "This record comprises 17 years (1995-2012) of global cloud observations from the Along Track Scanning Radiometer (ATSR) series of instruments, flown on board the ESA Earth Observation satellites (ERS-2) and Envisat. The data is provided as monthly 0.5 x 0.5 degree, and daily 0.1x0.1 degree, longitude-latitude averages containing fractional cloud coverage (the percentage of each grid cell covered by cloud), cloud-top height, cloud optical depth, effective radius and liquid/ice water paths, along with uncertainties for each parameter.\r\n\r\nThis dataset is a re-gridded version of the European Space Agency (ESA) Climate Change Initiative version 3.0 cloud product (Cloud_cci) produced to meet the requirements for distribution through the Copernicus Climate Change Service (C3S). Full details of the dataset, include data-quality and validation information can be found via the C3S Climate Data Store (CDS).",
            "keywords": "Clouds, ESA, CCI, Copernicus, C3S",
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                "fileFormat": "The data are in NetCDF format."
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            ],
            "dataLineage": "ATSR-2 and Advanced-ATSR (AATSR) data aquired by ESA and archived by CEDA (third reprocessing (A)ATSR-multi mission product).\r\n\r\nLevel-2 data processed by RAL Space for the ESA Cloud_cci project ( (A)ATSR cloud properties Essential Climate Variable product, version 3).\r\n\r\nLevel-3 data produced by RAL Space for C3S ((A)ATSR cloud properties Thematic Climate Data Record, v3.0).",
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                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214595/?format=api",
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                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214600/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214602/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214603/?format=api"
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        {
            "ob_id": 44817,
            "uuid": "6181ff81c7dc4ab2a492c8f53f58df52",
            "title": "Deformation, Strains, and Velocities for the Tibetan Plateau from Sentinel-1 InSAR, GNSS, and Levelling Data, version 1",
            "abstract": "This dataset provides velocity and strain rate fields for the Tibetan Plateau derived from Sentinel-1 Interferometric Synthetic Aperture Radar (InSAR), Global Navigation Satellite System (GNSS), and levelling data. Interferograms in GeoTIFF format at ~100 m resolution are available from the Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics - Looking Inside the Continents from Space InSAR (COMET-LiCSAR) portal (https://comet.nerc.ac.uk/comet-lics-portal/) Using the Looking Inside the Continents from Space with Small Baseline Subset (LiCSBAS) approach, line-of-sight displacement time series and average velocities at ~1 km resolution are inverted, applying corrections for troposphere, ionosphere, Earth tides, and plate motions. Also compiling GNSS velocities and levelling observations from published studies. Following the velmap methodology, a unified coarse 3D velocity field is obtained that fits the GNSS, levelling, and InSAR data. From this, mosaics of ascending and descending line-of-sight velocities in a Eurasia reference frame. Inverting pixel-by-pixel for the east-west and vertical velocities directly from the referenced line-of-sight velocities, using the north–south velocities from the coarse 3D velocity model as a constraint. Strain and rotation rates are calculated from the horizontal gradients of the median-filtered east-west velocities at InSAR resolution and the north-south velocities from the coarse velocity model. Further details are provided in Wright et al. (2025, Science).\r\n\r\nThe directory overview for this dataset are given below:\r\nENU_vels/\r\nEast-west, north-south, and vertical velocity fields, along with their associated uncertainties.\r\n \r\ngeoreferenced_los_vels/\r\nLine-of-sight (LOS) velocities in a Eurasia-fixed reference frame defined by GNSS\r\n \r\nGNSS_levelling_data/\r\nCompiled GNSS velocities and levelling rates from published studies.\r\n \r\nLiCSBAS_los_vels/\r\nOriginal LOS velocities and displacement time series derived from LiCSBAS processing.\r\n \r\nstrain_rates/\r\nComponents of the horizontal velocity gradient tensor, second invariant, maximum shear, dilatation, and vorticity.\r\n \r\nvelmap_strain_rates/\r\nStrain rates calculated from velmap.\r\n\r\nvelmap_vels/\r\nCoarse 3D velocity model derived from velmap.",
            "keywords": "COMET, Sentinel 1",
            "publicationState": "citable",
            "dataPublishedTime": "2025-08-21T13:35:57",
            "doiPublishedTime": "2025-08-21T13:53:09",
            "updateFrequency": "",
            "status": "completed",
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                "dataPath": "/neodc/comet/publications_data/Wright_etal_2025_Tibet/v1.0",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 44692558075,
                "numberOfFiles": 7590,
                "fileFormat": "These data are provided in GeoTiff format."
            },
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            "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).",
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            "procedureAcquisition": null,
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                    "useLimitation": null,
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                    "accessCategory": "public",
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                    "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/",
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        },
        {
            "ob_id": 44819,
            "uuid": "266dad3b80fa490983c7723a11a1341a",
            "title": "Honor Oak Park Source Particulate Matter Readings Data Set (2019-2024)",
            "abstract": "The dataset contains air-quality measurements from Honor Oak Park, a suburban background site in London, collected with the Teledyne T500U instrument. It focuses primarily on PM2.5 sources, such as XACT measurements, methane, carbon dioxide (CO₂), and ammonia, spanning between 2019–2024, depending on the parameter. Periods of missing data reflect instrument downtime or maintenance. \r\n\r\nThe dataset is provided for research and educational use by researchers, students, and the general public.",
            "keywords": "London,CH4,CO2,NH3,XACT,PM2.5",
            "publicationState": "preview",
            "dataPublishedTime": null,
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "pending",
            "result_field": null,
            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12635/?format=api",
            "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4870/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [],
            "dataLineage": "The provided data was measured at the Honor Oak Park supersite and uploaded to a database, from which it was ratified and uploaded to the Monnet software, which is used to view and download source readings. After being filtered and segmented by year, it was then saved as a CSV file and converted to NCDF format in preparation for upload.",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
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                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214634/?format=api",
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            "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/44820/?format=api",
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        {
            "ob_id": 44823,
            "uuid": "c30757575ff440658ab008701f2dbdbd",
            "title": "__MUST_UPDATE__20250820134946__ Met Office Cardington: 1 min averages of surface to 50 m meteorology, radiation and subsoil measurements, 2004-2024",
            "abstract": "This repository provides a continuous hydrometeorological record of the Met Office Observation-based research Boundary Layer Facility at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024. The dataset contains recorded surface meteorology, radiation and subsoil from sensor measurements at 1 minute averaging period and measured by instruments mounted on 2 m, 10 m, 25 m and 50 m masts.\r\n\r\nInstruments mounted on 2 m, 10 m, 25 m and 50 m masts include:\r\n•\tVector Instruments T302 PRT temperature sensors were located at all heights.\r\n•\tScreened and aspirated HMP155s were located at all heights.\r\n•\tGill HS50 3-D horizontally symmetric ultrasonic anemometers were located at all heights.\r\n•\tLicor Li-7500 open-path hygrometer was located at 10m.\r\n•\tSetra Model 270 transducer measured barometric pressure at 1.5 m.\r\n•\tMichell chilled mirror hygrometer measured dew and frost point temperature at 1.2 m\r\n\r\nSurface instrumentation includes:\r\n•\tRainfall is measured with a Met Office Mk5 tipping-bucket gauge with a 0.2 mm accuracy.\r\n•\tScreened and aspirated Rotronics Hydroclip2 measured grass canopy air temperature and RH located at 0.4 m, 0.15 m and 0.08 m.\r\n\r\nRadiation instrumentation includes:\r\n•\tClear-domed Kipp and Zonen CM21 pyranometers located at 2 m measured global downwelling, diffuse downwelling, and upwelling components (of wavelength between 0.3-3 μm).\r\n•\tKipp and Zonen CG4 pyrgeometers located at 2 m measured the downwelling and upwelling longwave radiation (4.5–40 μm).\r\n•\tGrass canopy, or skin temperature was measured radiometrically with the Heitronics KT15 pyrometer.\r\n\r\nAerosol and visibility instrumentation includes:\r\n\r\n•\tA Belfort 6230A instrument located at 2 m measured visual range through air (visibility) (2004-April 2011).\r\n•\tA Biral HSS VPF-730 instrument located at 2 m measured visual range through air (visibility), and for the determination of present weather (April 2011-2024).\r\n•\tVisible total scattering coefficients were measured with MRI integrating nephelometer (2004-2011) and Optec integrating nephelometer (2011-2024) located at 3 m.\r\nSubsoil instrumentation includes:\r\n•\tDelta-T ML2/ML3 theta probes measured volumetric soil moisture at depths of 10, 22, 57 and 160 cm.\r\n•\tDelta-T PRT measured soil temperature at 1, 4, 7, 10, 17, 35, 65 and 100 cm (2004-March 2012).\r\n•\tDelta-T ST2-396 thermistor probes measured soil temperature at 1, 4, 7, 10, 17, 35, 65 and 100 cm (March 2012-2024).\r\n•\tHukseflux HFP01SC flux plate measured ground heat flux.\r\n•\tDruck 1830 pressure transducer measured water table depth.\r\n\r\n\r\nA full list of NetCDF variables can be found in “A continuous hydrometeorological record (2004–2024) at the Met Office surface site of Cardington, UK.” Osborne et al. (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included.",
            "keywords": "Cardington, Met Office, observation, turbulence, wind speed, wind direction, boundary layer, temperature, relative humidity, upwelling, shortwave, longwave, radiative flux, radiation, surface, precipitation, rainfall, amount, visibility, soil, moisture, flux tower, surface, subsurface, measurement",
            "publicationState": "working",
            "dataPublishedTime": null,
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "final",
            "result_field": null,
            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12148/?format=api",
            "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/39/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [],
            "dataLineage": "Data were collected by the Met Office Meteorological Research Unit, Cardington, during its operational period. These data have been standardised for the production of this dataset, following similar file metadata conventions for all associated datasets within the continuous hydro-meteorological record (2004-2024) at the Met Office surface site of Cardington, UK Dataset Collection, as described more fully within Osborne et al., (2025). This standardisation approach addressed, where possible, any known data and metadata issues. Data were then deposited at the Centre for Environmental Data Analysis (CEDA) for long-term archival.",
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            "language": "English",
            "identifier_set": [],
            "projects": [
                "https://api.catalogue.ceda.ac.uk/api/v2/projects/20010/?format=api"
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                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214648/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214649/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214643/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214644/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214651/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214652/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214653/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214654/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214655/?format=api"
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        {
            "ob_id": 44826,
            "uuid": "475588fdfae24b06a2d0a7d6e56f119e",
            "title": "PM2.5 Concentrations Measurements in the Arctic and North Atlantic Atmosphere",
            "abstract": "The DY151 cruise on the Royal Research Ship (RRS) Discovery began on 19th May 2022 and concluded on 26th June 2022. The expedition set out from Reykjavík, Iceland, and traveled across the North Atlantic Ocean, via southeast Greenland, then to the Labrador Sea and Davis Strait (adjacent to melting sea ice), ultimately returning to Southampton, UK. An interdisciplinary team of scientists from various institutions participated in this campaign. The PM2.5 concentration measurements and associated data were specifically collected between 23rd May and 16th June 2022, as outside of this window, the vessel was in transit and not engaged in measurement activities.",
            "keywords": "PM2.5",
            "publicationState": "preview",
            "dataPublishedTime": null,
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "pending",
            "result_field": null,
            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12639/?format=api",
            "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4871/?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/43398/?format=api"
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                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214670/?format=api",
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                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214672/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214673/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214674/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214675/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214676/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214677/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214678/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214679/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214680/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214681/?format=api"
            ],
            "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/44829/?format=api",
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        {
            "ob_id": 44844,
            "uuid": "77316e963c8b40d5bc2c9485a6c39027",
            "title": "ESACCI-CLOUD-AVHRR-AMPM-3-0",
            "abstract": "Data CMORised for obs4MIPs and for use by the REF (Rapid Evaluation Framework). Cloud properties derived from AVHRR (aboard NOAA and MetOp AM+PM) measurements. This dataset belongs to the ESA Cloud_cci suite of long-term coherent cloud property datasets. The dataset consists of the following variables, rsutcs, rsut, rsuscs, rsus, rsdt, rlutcs, rlut, rlus, clwvi, cltStderr, clt, clivi. The folder structure for each variable are as for example: \r\nESACCI-CLOUD-AVHRR-AMPM-3-0 /mon/clivi/v20250723/clivi_mon_ESACCI-CLOUD-AVHRR-AMPM-3-0_ESMValTool-REF_gn_198201-201612.nc",
            "keywords": "Cloud,Satellite,Merged,Global,Properties,Climate,obs4MIPs,REF,obs4REF",
            "publicationState": "working",
            "dataPublishedTime": null,
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "pending",
            "result_field": null,
            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12687/?format=api",
            "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4874/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [],
            "dataLineage": "Original merged satellite data produced by DWD, derived from AVHRR (on the NOAA and MetOp) into AM/PM data. Data prepared in ESMValTool and then made obs4MIPs compliant using CMOR v.3.10. Changed activity_id to obs4REF for REF use.",
            "removedDataTime": null,
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            "language": "English",
            "identifier_set": [],
            "projects": [
                "https://api.catalogue.ceda.ac.uk/api/v2/projects/13339/?format=api"
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                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214761/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214762/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214763/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214764/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214765/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214766/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214990/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214991/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214992/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214993/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214994/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214995/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214996/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214997/?format=api"
            ],
            "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/44845/?format=api",
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        {
            "ob_id": 44847,
            "uuid": "f63dfa592e9748ca8f0ce6f3e5c77fe5",
            "title": "WOA2023",
            "abstract": "Sea water salinity, sea water temperature-In-situ (gridded) NOAA National Centers for Environmental Information (NCEI), derived from the World Ocean Atlas Project.  Consists of eight variables, ohcjm2, ohc, thetao, so, si, po4, o2, no3. File structure are WOA_23/NOAA-NCEI-OCL/mon/no3/v20250903/no3_mon_WOA-23_REF_gn_200501-202212.nc \r\nPrimarily Argo floats (from 2005 onwards), and data acquired through IOC/IODE Global Oceanographic Data Archaeology and Rescue (GODAR) project and the World Ocean Database (WOD). Historical oceanographic temperature and salinity profile data from bottle samples (Reversing thermometers), Mechanical Bathy-thermographs (MBT), ship-deployed Conductivity-Temperature-Depth (CTD) packages, Digital Bathythermograph (DBT),  Expendable Bathythermographs  (XBT), Argo profiling floats, moored and drifting buoys, gliders, undulating oceanographic recorder (UOR), and pinniped mounted CTD sensors, and surface only data, ship-mounted thermosalinographs.",
            "keywords": "obs4MIPs,REF,ocean,atlas,argo,noaa,obs4REF,OCL",
            "publicationState": "working",
            "dataPublishedTime": null,
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "pending",
            "result_field": null,
            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12948/?format=api",
            "geographicExtent": null,
            "nonGeographicFlag": true,
            "phenomena": [],
            "dataLineage": "Note this data only provides climatological means, calculated over 2005-2014 and 2015-2022. \r\nOriginal dataset proposed to obs4MIPs by Dora Hegedus for the Rapid Evaluation Framework (REF).\r\nDataset processed by Morgan Steckler (ORNL) to be obs4MIPs compliant using CMOR.",
            "removedDataTime": null,
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            "language": "English",
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                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214781/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214782/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214783/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214784/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214785/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214786/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214787/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214788/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214789/?format=api"
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        {
            "ob_id": 44851,
            "uuid": "7c017d7cbaca4c19b7f437d14d7906b9",
            "title": "WECANN-1-0 ",
            "abstract": "Data CMORised for obs4MIPs and for use by the REF (Rapid Evaluation Framework). Carbon Mass Flux out of Atmosphere Due to Gross Primary Production on Land, Satellite (merged) dataset created by Columbia University. The dataset consists of the following variables, hfss, hfls, gpp. The folder structure for each variable are for example:  \r\nWECANN-1-0/ColumbiaU/mon/gpp/v20250903/gpp_mon_WECANN-1-0_gn_200701-201512.nc",
            "keywords": "Satellite,REF,obs4MIPs,global,climate,carbon,flux,GPP,SIF,SWE,obs4REF",
            "publicationState": "working",
            "dataPublishedTime": null,
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "pending",
            "result_field": null,
            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12797/?format=api",
            "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4875/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [],
            "dataLineage": "Original merged satellite data produced by Colombia University, derived from water, energy, and carbon with artificial neural networks (input data from GOME-2, CERES, AIRS, ESA CCI Soil Moisture (merged SMMR, SSM/I, AMSR-E, ERS, ASCAT) . This dataset prepared in iLAMB3 and then made obs4MIPs compliant using CMOR v.3.10.",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [],
            "projects": [
                "https://api.catalogue.ceda.ac.uk/api/v2/projects/19260/?format=api"
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            "observationcollection_set": [],
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                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214813/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214814/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214815/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214816/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214817/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214818/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214819/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214820/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214821/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214822/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214823/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214824/?format=api"
            ],
            "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/44852/?format=api",
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        {
            "ob_id": 44853,
            "uuid": "23f870cbf4054a8ca930f3652a790fd6",
            "title": "RAPID-2023-1a",
            "abstract": "Data CMORised for obs4MIPs and for use by the REF (Rapid Evaluation Framework). RAPID-Meridional Overturning Circulation and Heatflux Array-Western Boundary Time Series. In-situ conductivity and temperature measurements using buoys equipped with MicroCATs. The dataset consists of the following variable; msftmz. The folder structure for the variable are RAPID-2023-1a/NOC/mon/msftmz/v20250903/msftmz_mon_RAPID_2023-1a_gn_200404-202302.nc",
            "keywords": "RAPID,obs4MIPs,REF,MicroCAT,Meridional,Overturning,Transport,Atlantic,array,obs4REF",
            "publicationState": "working",
            "dataPublishedTime": null,
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "pending",
            "result_field": null,
            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12697/?format=api",
            "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4876/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [],
            "dataLineage": "Original in-situ observational data produced by NERC, NSF and NOAA, derived from RAPID array at 26.5N in the Atlantic Ocean, converted to monthly means. Data prepared in iLAMB3 and then made obs4MIPs compliant using CMOR v.3.10",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [],
            "projects": [
                "https://api.catalogue.ceda.ac.uk/api/v2/projects/19089/?format=api"
            ],
            "observationcollection_set": [],
            "responsiblepartyinfo_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214826/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214827/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214828/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214829/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214830/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214831/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214832/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214833/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214834/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214835/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214836/?format=api"
            ],
            "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/44854/?format=api",
            "procedureCompositeProcess": null,
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        },
        {
            "ob_id": 44856,
            "uuid": "86fffb375c784e7b9013e3032baeaa4a",
            "title": "LORA-1-0",
            "abstract": "Data CMORised for obs4MIPs and for use by the REF (Rapid Evaluation Framework). Total Runoff-OtherARC Centre of Excellence for Climate System Science in kg m-2 s-1. Observed streamflow from the following four sources: (i) the US Geological Survey (USGS) GAGES-II database (Falcone et al., 2010), (ii) the GRDB (http://www.bafg.de/GRDC/, last access: 1 June 2017), (iii) the Australian Peel et al. (2000) database, and (iv) the global Dai (2016) database. The dataset consists of the following variable; mrro. The folder structure for the variable is: LORA-1-0/ARCCSS/mon/mrro/v20250903/mrro_mon_LORA-1-0_REF_gn_198001-201212.nc",
            "keywords": "runoff,global,rivers,flux,obs4MIPs,REF,obs4REF",
            "publicationState": "working",
            "dataPublishedTime": null,
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "pending",
            "result_field": null,
            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12695/?format=api",
            "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4877/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [],
            "dataLineage": "Original in-situ observational data from gauged basins, ungauged basins, stream gauges converted to monthly means. Data prepared in iLAMB3 and then made obs4MIPs compliant using CMOR v.3.10",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [],
            "projects": [
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            "observationcollection_set": [],
            "responsiblepartyinfo_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214839/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214840/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214841/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214842/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214843/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214844/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214845/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214846/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214847/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214848/?format=api"
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            "procedureAcquisition": null,
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            "permissions": [],
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        },
        {
            "ob_id": 44858,
            "uuid": "7dc9cbafc2e64ea29740232daf83cf66",
            "title": "HWSD-2-0",
            "abstract": "Data CMORised for obs4MIPs and for use by the REF (Rapid Evaluation Framework). Carbon Mass in Model Soil Pool-In-situ (gridded) FAO (Food and Agriculture Organization of the United Nations), data from soil sampling, soil maps in the Harnomised World Soil Database in kg m-2. The dataset consists of the following variable; cSoil. The folder structure for each variable are HWSD-2-0 /IIASA-FAO/fx/cSoil/v20250903/cSoil_fx_HWSD-2-0_fx_gn_2023.nc.",
            "keywords": "soil,carbon,mass,pool,obs4MIPs,REF",
            "publicationState": "working",
            "dataPublishedTime": null,
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "pending",
            "result_field": null,
            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12793/?format=api",
            "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4878/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [],
            "dataLineage": "Original in-situ observational data produced by FAO, converted to gridded monthly means. Data prepared in iLAMB3 and then made obs4MIPs compliant using CMOR v.3.10",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [],
            "projects": [
                "https://api.catalogue.ceda.ac.uk/api/v2/projects/44859/?format=api"
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            "observationcollection_set": [],
            "responsiblepartyinfo_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214851/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214852/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214853/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214854/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214855/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214856/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214857/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214858/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214859/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214860/?format=api"
            ],
            "procedureAcquisition": null,
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        },
        {
            "ob_id": 44860,
            "uuid": "d6c4897ad35543cbaaa83cfde1d77fae",
            "title": "Hoffman-1-0",
            "abstract": "End-of-year CO2 concentrations of a combination of 75 year smoothed Law Dome ice core data [Etheridge et al., 1996] up to 1832, 20 year smoothed Law Dome ice core data for 1823–1958, the Keeling Mauna Loa record, with 0.59 ppm subtracted (which is the Mauna Loa mean minus the NOAA global mean over 1982–1986) for 1959–1981, and the NOAA global mean value for 1982–2008 [Conway et al., 1994]. Data produced by UCI-ORNL and , converted to Carbon Mass Flux Out Of Atmosphere Due To Net Biospheric Production On Land, Surface Downward Mass Flux of Carbon As CO2, in kg m-2 s-1. Data prepared in iLAMB3 and then made obs4MIPs compliant using CMOR v.3.10. The dataset consists of the following variables, nbp and fgco2. The folder structure for each variable are Hoffman-1-0/UCI-ORNL/yr/fgco2/v20250903/fgco2_yr_Hoffman-1-0_gm_1850-2010.nc",
            "keywords": "carbon,mass,REF,obs4MIPs,flux,NOAA,ice core,obs4REF",
            "publicationState": "working",
            "dataPublishedTime": null,
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "pending",
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            "dataLineage": "Original dataset produced by UCI-ORNL. Data prepared in iLAMB3 and then made obs4MIPs compliant using CMOR v.3.10.",
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            "language": "English",
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                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214864/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214865/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214866/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214867/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214868/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214869/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214870/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214871/?format=api"
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        {
            "ob_id": 44861,
            "uuid": "74c200ab8ea54482bf1ad66738524d0c",
            "title": "CCI-CryoClim-FSC-1",
            "abstract": "Fractional snow cover (FSC); percentage of area in a grid cell covered by snow on land-Satellite (merged) in percent. Norwegian Computing Center, Norwegian Meteorological Institute, ESA CCI Snow project. Data CMORised for obs4MIPs and for use by the REF (Rapid Evaluation Framework). The dataset consists of the following variable; snc. The folder structure for the variable are  CCI-CryoClim-FSC-1/mon/snc/v20250517/snc_mon_CCI-CryoClim-FSC-1_BE_gn_198201-201906.nc.",
            "keywords": "obs4MIPs,obs4REF,snow,cci,snc,ESA,CryoClim",
            "publicationState": "working",
            "dataPublishedTime": null,
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            "status": "pending",
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            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12706/?format=api",
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            "nonGeographicFlag": false,
            "phenomena": [],
            "dataLineage": "Original satellite data converted to fractional snow cover in a grid cell by ESA CCI Snow project. Data prepared in iLAMB3 and then made obs4MIPs compliant using CMOR v.3.10",
            "removedDataTime": null,
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            "language": "English",
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                "https://api.catalogue.ceda.ac.uk/api/v2/projects/30229/?format=api"
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                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214873/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214874/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214875/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214876/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214877/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214878/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214879/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214880/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214881/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214882/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214883/?format=api"
            ],
            "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/44862/?format=api",
            "procedureCompositeProcess": null,
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        },
        {
            "ob_id": 44863,
            "uuid": "32c35251febd44229b28ed288addab6c",
            "title": "SAGE-CCI-OMPS-8-0",
            "abstract": "Mole Fraction of O3-Satellite (merged) CMZM, Monthly zonal mean merged concentration product from limb sensors ACE, GOMOS, MIPAS, OMPS, OSIRIS, SAGE-2 and SCIAMACHY v0008. Directory format is SAGE-CCI-OMPS/mon/o3/v20250718/o3_mon_SAGE-CCI-OMPS-v0008_SAGE-CCI-OMPS-REF_gnz_198410-202212.nc",
            "keywords": "ozone,obs4MIPs,REF,mole,fraction,zonal,obs4REF",
            "publicationState": "working",
            "dataPublishedTime": null,
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "pending",
            "result_field": null,
            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12704/?format=api",
            "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4881/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [],
            "dataLineage": "Original merged dataset prepared by Finnish Meteorological Institute (BMI), then prepared for the REF using ESMValTool at DLR. Processed for obs4MIPs by CMIP IPO using CMOR",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [],
            "projects": [
                "https://api.catalogue.ceda.ac.uk/api/v2/projects/19710/?format=api"
            ],
            "observationcollection_set": [],
            "responsiblepartyinfo_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214885/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214886/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214887/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214888/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214889/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214890/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214891/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214892/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214893/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214894/?format=api"
            ],
            "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/44864/?format=api",
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        {
            "ob_id": 44867,
            "uuid": "527ba062f6114669927bf93ccbd8631b",
            "title": "HighResMIP model simulations for high-resolution hydrological simulations over Peninsular Malaysia: using HadGEM3-GC3.1-HM for the IMPRESS-Malaysia project.",
            "abstract": "This dataset contains HighResMIP model simulations using the HadGEM3-GC3.1-HM model,  interpolated to 612*672 grids at resolution of 0.008333333333° over Malaysia for inputs of high-resolution hydrological simulations for the period 1980-2050 (present-day: 1980-2014, future high-end SSPs scenario: 2015-2050).\r\n\r\nThese data were produced for the IMpacts of PRecipitation from Extreme StormS - Malaysia (IMPRESS-Malaysia) project. NE/S002707/1",
            "keywords": "NE/S002707/1, CMIP6 HighResMIP",
            "publicationState": "preview",
            "dataPublishedTime": null,
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            "updateFrequency": "",
            "status": "ongoing",
            "result_field": {
                "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44866/?format=api",
                "dataPath": "/badc/deposited2025/PeninMalay_HadGEM3_GC31_HM",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 336382186653,
                "numberOfFiles": 73,
                "fileFormat": "NetCDF"
            },
            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12684/?format=api",
            "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4882/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52192/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52193/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63011/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92141/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92142/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92143/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92144/?format=api"
            ],
            "dataLineage": "Data were generated using the model simulations from the CMIP6 HighResMIP protocol 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/44868/?format=api"
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            "responsiblepartyinfo_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214909/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214910/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214911/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214914/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214908/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214906/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214907/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214915/?format=api"
            ],
            "procedureAcquisition": null,
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            "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/44869/?format=api",
            "permissions": [
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                    "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api",
                    "useLimitation": null,
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                    "accessCategory": "public",
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                    "label": "public: None group",
                    "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/",
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        },
        {
            "ob_id": 44870,
            "uuid": "fa4fe5160ca84acf919d4279fcf102c7",
            "title": "Ocean data produced by the CESM2 model for the Regional Aerosol Model Intercomparison Project (RAMIP)",
            "abstract": "This record contains ocean data for 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 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 in native CESM2 format. 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\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": "working",
            "dataPublishedTime": null,
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "pending",
            "result_field": null,
            "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": [],
            "dataLineage": "The simulations are initialised from the CESM2 Large Ensemble (LE) historical experiments.  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": [],
            "projects": [
                "https://api.catalogue.ceda.ac.uk/api/v2/projects/43444/?format=api"
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                "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/44020/?format=api"
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                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214919/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214920/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214921/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214923/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214922/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214925/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214924/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214926/?format=api"
            ],
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        {
            "ob_id": 44871,
            "uuid": "4fcad04a4a224601875df64ceef48e26",
            "title": "Auchencorth Moss Atmospheric Observatory (AU): Annual half-hourly meteorology since 1995, Near Edinburgh, UK - Version 2",
            "abstract": "This version 2 dataset includes annual files of half-hourly meteorological observations made at Auchencorth Moss Atmospheric Observatory, near Edinburgh, UK.   \r\n\r\nThe site was setup in 1995 to measure meteorology, trace gases, aerosols and their fluxes. It is (55ᵒ47’36” N, 3°14’41” W) an ombrotrophic peatland with an extensive fetch at an elevation of 270 m, lying 18 km SSW of Edinburgh, and can be categorised as a transitional lowland raised bog. The site is grazed with < 1 sheep per hectare.\r\nDuring 2000s the site activity has increased and was established in 2006 as EMEP (European Monitoring and Evaluation Program, Level 2/3) supersite for the UK. Long term monitoring is led by NERC CEH with contributions from other organisations/research institutes including Ricardo AEA, BureauVeritas, NPL, the University of Birmingham and University of Edinburgh. In April 2014 the site was awarded WMO GAW regional station (World Meteorological Orgamisation Global Atmospheric Watch). In 2017 the site joined the ICOS network (Integrated Carbon Observation System).\r\nThe meteorological measurements were initially made to assist with interpretation of the fluxes and as such weren't installed with the intention of providing WMO standard measurements but since 2014 we have been moving towards these standards as well as enhancing instrumentation.\r\nFrom 1995 to 2023 the dataset includes the following parameters at half hourly intervals, although not every variable is available for the whole period:\r\n-T_upper_Avg - initially used to estimate senisble heat fluxes, fine wire type-E thermocouple.\r\n-T_lower_Avg - initially used to estimate senisble heat fluxes, fine wire type-E thermocouple.\r\n-T_RHT_Avg - Temperature measured by a Vailsala relative humidity and temperature probe.\r\n-RH_RHT_Avg - Relative humidity measured by a Vailsala relative humidity and temperature probe.\r\n-P_Avg - atmospheric pressure at the sites elevation.\r\n-Tot_Solar_Avg - Total solar radiation measured by a Skye SKS1110.\r\n-PAR_Avg - Photosynthetically Averaged Radiation measured by a Skye SKP215.\r\n-NetRad_Avg - Net radiation, Kipp & Zonen NrLite.\r\n-Rainfall - tipping bucket rainfall.\r\n-SoilTavg - Average soil temperature from four type-E thermocouple probes.\r\n-Soil Heat Flux - calculated from two measurements of soil heat flux with Hukseflux HFP01 plates, corrected to surface flux using the standard formula.\r\n-Cs = Bd(Cd+fSWC.Cw)\r\n-SC = DTs.Cs.d/Dtime\r\n-SHF = Plate Average + SC\r\n-DTs = change in average soil temperature from start to end of measurement period (first and last two minutes); d = plate depth 0.2 m; Bd = soil bulk density, 100 kg m-3; cd = Specific Heat Dry Soil, 840J kg-1 K-1; fSWC = fractional soil water content, measured or 0.9; cw = Specific Capacilty Heat of Water, 4190 J kg-1 K-1; Dtime = measurement period, 1800 s\r\n-Soil Moisture - soil water content measured with TDR probes, campbell CS616\r\n-WindSpd (measured) - measured by a Gill R3 then Windmaster sonic anemometer at 3.6 m\r\n-WindSpd 10 m - for most of the time period this is estimated from the turbulence measurements and 3.6 m windspeed but from 22/06/2016 a Gill Windsonic 2D anemeometer measures at 10 m\r\n-Wind Dir - measured by the sonic anemometer at 3.6 m\r\n-snow_depth_Avg - Campbell Scientific SR50A-L Sonic Ranging Sensor\r\n-Present Weather - Vaisala FD12P Present Weather Sensor\r\n-1 hr Past Weather - Vaisala FD12P Present Weather Sensor\r\n-Visibility - Vaisala FD12P Present Weather Sensor\r\n-Evaporation - to be estimated from the water-vapour flux measurements\r\n\r\nIn September 2025 the 1995-2023 data were revised to correct some errors in the original submission. These revised data are labelled version 2 and supercede the previous data.\r\n The key changes are:\r\n-\tSimplified data set with no fully gap-filled time series or modelled evaporation\r\n-\tSoil heat flux changed to measured average without storage correction (this is very uncertain on peat and caused spurious noise in the data)\r\n-\tWater table depth now reported in m, below the surface to match ICOS standards. Positive values indicate depth below the surface while negative values are above the surface\r\n\r\nIn November 2021 the site was officially labelled as an ICOS ecosystem station (https://meta.icos-cp.eu/resources/stations/ES_UK-AMo) as part of this process the meteorological instruments and their data processing system were modified to comply with ICOS requirements. From 2024 the data submitted to CEDA is modified to align with this system. For continuity data from the same sensors are submitted but there are some modifications:\r\n\r\n•\tAir Temperature average (TA_4_1_1, oC); from Rotronic HC2S3 temperature/humidity probe in unventilated shield \r\n•\tRelative Humidity average (RH_4_1_1, %); from Rotronic HC2S3 temperature/humidity probe in unventilated shield \r\n•\tPressure average (PA_4_1_1, kPa); barometric pressure at the site's altitude from Vaisala PTB110\r\n•\tTotal incident solar radiation average (RG_4_1_0, Wm-2); Skye SKS1110 thermopile pyranometer\r\n•\tPhotosynthetically Active Radiation average (PPFD_IN_4_1_1, umolm-2s-1); Skye SKP215 thermopile sensor\r\n•\tNet radiation (RN_5_1_1, Wm-2); Kipp & Zonen NRLite2, compact sensor gives single output\r\n•\tRainfall (P_13_1_1, mm); ARG314 Tipping bucket measurement\r\n•\tSoil temperature average, (TS, oC), Campbell Scientific Type-E thermocouple averaging probes or average of readings from Campbell Scientific CS616 soil moisture sensors\r\n•\tSoil Heat Flux (G, Wm-2), average of flux monitoring plates at several locations, Hukseflux HFP01-SC\r\n•\tSoil water content (same as soil moisture) (SWC, %); average of TDR probes, Campbell CS616 at several locations\r\n•\tWind speed 10 m (WS_6_1_1, ms-1); Gill Windsonic 2D sonic anemometer installed at 10 m\r\n•\tWind direction (WD_6_1_1, oN); Gill Windsonic 2D sonic anemometer installed at 10 m\r\n•\tSnow depth (D_SNOW, m) sonic snow depth sensor, Campbell Scientifc SR50AH\r\n•\twater table depth, (WTD, m); Druck PCR 1830, distance to water table from the average surface level (negative above the surface)\r\n•\tPresent_Weather (WMO4680 Code – Biral VPF50 gapfilled with Vaisala FD12P PWS\r\n•\t1 hour Past Weather (1_hr_Past_Weather, WMO4680 Code) - Biral VPF50 gapfilled with Vaisala FD12P PWS\r\n•\tVisibility (Visibility, m) Optical measurement from Biral VPF50 gapfilled with Vaisala FD12P PWS scaled so to match the maximum from the Biral sensor",
            "keywords": "Auchencorth Moss, Meteorology, Temperature, Rainfall, Wind Speed, ICOS, ICOS-UK",
            "publicationState": "published",
            "dataPublishedTime": "2025-09-23T12:01:31",
            "doiPublishedTime": null,
            "updateFrequency": "annually",
            "status": "ongoing",
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                "dataPath": "/badc/auchencorth/data/auchencorth_moss_met/v2/",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 84792484,
                "numberOfFiles": 31,
                "fileFormat": "BADC-CSV"
            },
            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/6787/?format=api",
            "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1867/?format=api",
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            "ob_id": 44883,
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            "title": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 5.1",
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            "keywords": "elevation, oceans",
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            "title": "EOCIS: CHUK Coastal Zone Water Colour (OLCI) V1.0",
            "abstract": "This dataset contains CHUK Coastal Zone Water Colour data produced within the Earth Observation Climate Information Service (EOCIS) project.  EOCIS Sentinel 3 Coastal Ocean Colour provides ocean colour data at the local scale with a resolution of 300 m.",
            "keywords": "CHUK, Coastal, Water Colour, Sentinel, estuaries, bays, lagoons, optical, chlorophyll, Reflectance, OLCI",
            "publicationState": "preview",
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            "dataLineage": "This dataset was produced by Plymouth Marine Laboratory in the context of the Earth Observation Climate Information Service project.",
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            "language": "English",
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            "title": "EOCIS: CHUK Coastal Zone Water Colour (MSI) V2.0",
            "abstract": "This dataset contains CHUK Coastal Zone Water Colour data produced within the Earth Observation Climate Information Service (EOCIS) project.  EOCIS Sentinel 2 Coastal Ocean Colour provides ocean colour data at the local scale with a resolution of 100 m. These data allow monitoring of coastal waters in finer detail and observations in estuaries, bays and lagoons. The Sentinel 2A and 2B satellites are used to create a combined product.",
            "keywords": "CHUK,Coastal,Water,Colour,Sentinel,estuaries,bays,lagoons,optical,chlorophyll",
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                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215040/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215041/?format=api",
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            "ob_id": 44887,
            "uuid": "2a579d7de854423b92b08e32b4596133",
            "title": "CALIPSO-ICECLOUD-1-0",
            "abstract": "Mass fraction of cloud-ice from satellite. A Level 3 Monthly Gridded Ice Cloud Dataset Derived from a Decade of CALIOP Measurements, then processed in ESMValTool, before final processing with CMOR3.10 to be consistent with obs4MIPs. Missing data due to topography for pressure levels1000hPa-550hPa, as data is given on pressure levels not hybrid or sigma levels. File structure NASA-LaRC/CALIPSO-ICECLOUD-1-0/mon/cli/100/v20251008/, Filename: cli-mon_CALIPSO-ICECLOUD-1-0_DLR_gn_200701-201512",
            "keywords": "obs4MIPs,obs4REF,CALIOP,CALIPSO,cli,NASA",
            "publicationState": "working",
            "dataPublishedTime": null,
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            "updateFrequency": "notPlanned",
            "status": "pending",
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            "nonGeographicFlag": false,
            "phenomena": [],
            "dataLineage": "Original dataset prepared by David Winker at NASA-LaRC from the CALIOP instrument output. ESMValTool (Axel Lauer and Lisa Bock) and Dora Hegedus acknowledged for the preparation of this dataset for obs4MIPs. Paul Smith at IPO re-processed to using CMOR3.190 to be available for the obs4REF database.",
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                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215058/?format=api",
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        {
            "ob_id": 44888,
            "uuid": "1d2b498e981f4bcfb46c1f3c5923b122",
            "title": "GloSAT model experiments :  UKESM1-1-LL simulations covering the period 1750-2014 - variables and derived variables analysed in the paper Ballinger et al (2025)",
            "abstract": "The Global Surface Air Temperature (GloSAT) model simulations were run on UK supercomputing platforms ARCHER2 and MONSooN using the UKESM1-1-LL UK Earth System Model described in Mulcahy, et al 2023 (https://doi.org/10.5194/gmd-16-1569-2023).\r\nThe simulations were run under the NERC funded project GloSAT. NE/S015647/2\r\n\r\nThe experiments and model set up are all described in:\r\nBallinger, A., Schurer, A., Hegerl, G., Dittus, A., Hawkins, E., Cornes, R., Kent, E., Marshall, L., Morice, C., Osborn, T., and Rayner, N.A. Rumbold, S.:(2025) Importance of beginning industrial-era climate simulations in the eighteenth century, Environmental Research Letters, 650, accepted.\r\n\r\nThis data set contains the variables and derived variables analysed in the paper Ballinger et al (2025)\r\nThese variables are taken from the 3 new model experiments described in this publication, which are\r\n\r\n6 ensembles with all forcings 1750-2014, described as historical1750\r\n4 ensembles with anthropogenic only forcing, 1750-1910, described as historicalANT1750\r\n1 preindustrial control simulation run using 1750 constant forcing described as piControl1750\r\n\r\nThe 4 variables which have been archived here in netcdf format were those used in the publication:\r\ntas - surface air temperature\r\nthetao - ocean temperature\r\nAMOC - Atlantic meridional streamflow\r\nSurfaceTypes - vegetation types",
            "keywords": "GloSAT,climate model,UKESM1.1-LL",
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            "title": "Multiscale benthic images collected by Autonomous Underwater Vehicle during expedition JC257 in the UK-1 area of the Clarion-Clipperton Zone, Pacific Ocean, 2024.",
            "abstract": "A collection of 52,771 benthic still images was obtained using a downward-looking camera mounted on the UK Autosub5 Autonomous Underwater Vehicle (AUV), deployed from RRS James Cook during cruise JC257 in the abyssal plain (~4130 m depth) of the UK-1 exploration area of the Clarion-Clipperton Zone, Pacific Ocean, in 2024. During mission AS5M094, the AUV was programmed to replicate parallel 1-to-2 km long transect lines in four sites spaced by an array of scales, located 0, 15, 30, 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. These images were colour-corrected to enhance visual fidelity and converted from original 8-bit RAW to JPG images. The image set includes images collected above 1.6 m and below 3 m altitude, which was corrected for the lever-arm corrected AUV pitch. The data were collected by scientists from the National Oceanography Centre, Southampton, UK as part of the NERC-funded Seabed Mining And Resilience To EXperimental impact (SMARTEX) project (NE/T003537/1).",
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        {
            "ob_id": 44891,
            "uuid": "1e2e65cfea3d409693c44a5e70e1b266",
            "title": "European Windstorm Events with Damage Potential ",
            "abstract": "This data set contains an event set of  over 790,000 high impact European windstorms from six seasonal hindcast ensemble suites, representative of about 19,500 model years. These tracks are produced based on the objective tracking as created by Leckebusch et al. (2008) under the approach pioneered by Osinski et al. (2016) for pure ensemble system or UNSEEN events (Thompson et al., 2017). Details on the event-based tracking and the respectively introduced objective storm severity index (SSI) can be found in Leckebusch et al. (2008). Details on the pure ensembles or UNSEEN approach can be found in Osinski et al. (2016) and Thompson et al. (2017).",
            "keywords": "Windstorm,Impact",
            "publicationState": "preview",
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            "dataLineage": "Source data was downloaded from C3S and ECMWF MARS.\r\nTracking was done at University of Birmingham via its HPC (BlueBEAR).",
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            "keywords": "OSI,SAF,sic,obs4MIPs,obs4REF,sea ice,GCMDSK,sea ice concentration",
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            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12728/?format=api",
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            "nonGeographicFlag": false,
            "phenomena": [],
            "dataLineage": "Original dataset prepared by MET Norway. That data then processed by DLR using ESMValTool into northern hemisphere and southern hemisphere datasets. CMIP IPO regridded data to a 0.5 x 0.5 lat x lon gird and CMORised using CMOR for northern and southern hemisphere yearly data.",
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                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215100/?format=api",
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        {
            "ob_id": 44900,
            "uuid": "9e3310577b994d1ca525b3bb3b2aa19e",
            "title": "UKESM1-CH4 output under current legislation and global methane pledge scenarios",
            "abstract": "This dataset contains model output for experiments using the UKESM1-CH4 emissions-driven configuration of the UK Earth System model (Folberth et al. 2022, DOI:10.1029/2021MS002982). The simulation follows the experimental design of the SSP2-4.5 Shared Socioeconomic Pathway, except with methane emissions following the current legislation scenario from the ECLIPSEv6b inventory, and a global methane pledge scenario where emissions are reduced globally by 30%, with a heterogeneous reduction regionally. These simulation span 2016-2049 and use a coupled atmosphere-ocean climate model. The data comprise annual mean output over the experimental period for ozone, methane, hydroxyl radical, precipitation and provided diagnostic air mass and diagnostics suitable for the calculation of the methane lifetime and budget. Mean daily 8h maximum ozone is also provided for 2049.",
            "keywords": "methane,global methane pledge,air quality",
            "publicationState": "citable",
            "dataPublishedTime": "2025-10-17T13:29:43",
            "doiPublishedTime": "2025-10-20T15:32:26.145070",
            "updateFrequency": "notPlanned",
            "status": "completed",
            "result_field": {
                "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44916/?format=api",
                "dataPath": "/badc/deposited2025/ukesm1-ch4_GMP",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 5170610088,
                "numberOfFiles": 17,
                "fileFormat": "NetCDF"
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            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12731/?format=api",
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        {
            "ob_id": 44902,
            "uuid": "f60cd72eae8b409fbfe4aa84aa04e97b",
            "title": "HadISD: Global sub-daily, surface meteorological station data, 1931-2025, v3.4.3.2025f",
            "abstract": "This is the final version, v3.4.3.2025f, of Met Office Hadley Centre's Integrated Surface Database, HadISD. These data are global sub-daily surface meteorological data. The parent dataset of HadISD, the Integrated Surface Database at NOAA, stopped being updated on 29th August 2025. Therefore there will be no further updates to this dataset, and the final year will remain incomplete, going up to 29th August 2025 only\r\n\r\nThe quality controlled variables in this dataset are: temperature, dewpoint temperature, sea-level pressure, wind speed and direction, cloud data (total, low, mid and high level). Past significant weather and precipitation data are also included, but have not been quality controlled, so their quality and completeness cannot be guaranteed. Quality control flags and data values which have been removed during the quality control process are provided in the qc_flags and flagged_values fields, and ancillary data files show the station listing with a station listing with IDs, names and location information. \r\n\r\nThe data are provided as one NetCDF file per station. Files in the station_data folder station data files have the format \"station_code\"_HadISD_HadOBS_19310101-20250829_v3-4-3-2025f. The station codes can be found under the docs tab. The station codes file has five columns as follows: 1) station code, 2) station name 3) station latitude 4) station longitude 5) station height.\r\n\r\nTo keep informed about updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS.\r\n\r\nFor more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISD blog: http://hadisd.blogspot.co.uk/\r\n\r\nReferences:\r\nWhen using the dataset in a paper you must cite the following papers (see Docs for link to the publications) and this dataset (using the \"citable as\" reference) :\r\n\r\nDunn, R. J. H., (2019), HadISD version 3: monthly updates, Hadley Centre Technical Note.\r\n\r\nDunn, R. J. H., Willett, K. M., Parker, D. E., and Mitchell, L.: Expanding HadISD: quality-controlled, sub-daily station data from 1931, Geosci. Instrum. Method. Data Syst., 5, 473-491, doi:10.5194/gi-5-473-2016, 2016.\r\n\r\nDunn, R. J. H., et al. (2012), HadISD: A Quality Controlled global synoptic report database for selected variables at long-term stations from 1973-2011, Clim. Past, 8, 1649-1679, 2012, doi:10.5194/cp-8-1649-2012\r\n\r\nSmith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent Developments and Partnerships. Bulletin of the American Meteorological Society, 92, 704–708, doi:10.1175/2011BAMS3015.1\r\n\r\nFor a homogeneity assessment of HadISD please see this following reference\r\n\r\nDunn, R. J. H., K. M. Willett, C. P. Morice, and D. E. Parker. \"Pairwise homogeneity assessment of HadISD.\" Climate of the Past 10, no. 4 (2014): 1501-1522. doi:10.5194/cp-10-1501-2014, 2014.",
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            "dataPublishedTime": "2025-11-17T17:10:37",
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            "status": "final",
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                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 59655470271,
                "numberOfFiles": 10419,
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            "dataLineage": "HadISD the global sub-daily station dataset was produced by the Met Office Hadley Centre. It was derived from the Integrated Surface Dataset (ISD) from NOAA's National Climatic Data Center (NCDC). HadISD has been passed to the Centre for Environmental Data Analysis (CEDA) for archiving and distribution.",
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            "title": "ESA Fire Climate Change Initiative (FireCCI): Harmonised FireCCI Burned Area Grid product, version 6.0 (FireCCI60)",
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            "title": "ARA Beech B200T Super King Air Aircraft measurements for the CWVC EMERALD-1 Campaign 2001.",
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            "title": "GLAMOUR: Global building morphology dataset for urban climate modelling (2020)",
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            "title": "ARA Beech B200T Super King Air Aircraft measurements for the CWVC EMERALD-2 Campaign 2002.",
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                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215296/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215298/?format=api",
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        {
            "ob_id": 44935,
            "uuid": "8d02d224437247f6a6270a575d457bd8",
            "title": "ESA Vegetation Parameters Climate Change Initiative (Vegetation_Parameters_cci): LAI and fAPAR, Version 2.0",
            "abstract": "Climate Research Data Package 2 from the ESA Climate Change Initiative Vegetation Parameters Project (Vegetation_parameters_cci). The dataset consists of Leaf Area Index (LAI) and fraction of Absorbed Photosynthetically Active Radiation (fAPAR) gridded at 1 km resolution for the period 2000-2020. The dataset is based on data from SPOT4/5-VEGETATION1/2 and PROBA-V as input data.\r\n\r\nLAI and fAPAR are retrieved using OptiSAIL (see Blessing and Giering, 2021 doi:10.20944/preprints202109.0147.v1). The dataset is processed for a north-south transect from Finland to South-Africa, as well as for a set of globally distributed sites that is representative for all biomes and for those sites where in-situ reference data is available.\r\n\r\nThe temporal resolution of both datasets is 5 days, but is computed using data selected from a symmetric 10-days window. The data are not smoothed in time. The transect is ordered in tiles following the PROBA-V tiling definition. These files contain the fully validated layers of (effective) LAI, fAPAR, their uncertainties and the correlation between both. The sites additionally include the variables Chlorophyll a+b leaf pigment concentration (Cab), the fraction of Chlorophyll Absorbed Photosynthetically Active Radiation (fAPAR_Cab) and Surface Albedo calculated as bi-hemispheric reflectance (BHR) for diffuse illumination with a reference spectrum for spectral broadband intervals visible wavelengths (VIS, 400-700 nm), near-infrared wavelengths (NIR, 700-2500 nm), and for the combined shortwave range (SW, 400-2500 nm), as well as directional-hemispherical reflectance (DHR) for the same spectral broadbands, computed for local solar noon. These additional variables are not validated.\r\n\r\nFurther details about the data, including validation and intercomparison with similar datasets, can be found in the PDF documentation.",
            "keywords": "ESA, CCI, Vegetation, LAI, fAPAR, climate change, GCOS",
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                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215320/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215321/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215322/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215323/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215324/?format=api",
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        {
            "ob_id": 44949,
            "uuid": "a30cc15f8743416382d7bb64f4b80af0",
            "title": "GFED-5-0",
            "abstract": "Monthly 24-year record of global burned area (Total) created by combining MODIS, Landsat, and Sentinel-2 satellite observations, 1997-2000 are pre-MODIS data with 1°×1° spatial resolution, and 2001-2020 are 0.25°×0.25° spatial resolution.",
            "keywords": "obs4REF,obs4MIPs,MODIS,Landsat,Sentinel-2,burned area,burned fraction",
            "publicationState": "working",
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            "phenomena": [],
            "dataLineage": "Original dataset prepared by DoESS in Km/2 and totals prepared and converted to 'burntFractionAll' variable_id with units of % by ORNL using ILAMB.",
            "removedDataTime": null,
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            "language": "English",
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                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215339/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215340/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215341/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215342/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215343/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215344/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215345/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215346/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215347/?format=api"
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            "ob_id": 44950,
            "uuid": "1eac4fa0ae6848b6825485665809900c",
            "title": "Geoswath data collected by Gavia Autonomous Underwater Vehicle from Liverpool Bay area during a RV Prince Madog cruise in June 2023",
            "abstract": "This dataset contains processed interferometric bathymetry and sidescan data from a GAVIA AUV (Autonomous Underwater Vehicle). GAVIA AUV geoswath data was collected from the Liverpool Bay area (Irish Sea) during a RV Prince Madog cruise in June 2023. Three days of survey took place on the 18th, 21st and 22nd of June 2023. The processing of the bathymetry data was done in Teledyne CARIS software (v11), with the HIPS toolkit, in order to produce gridded depth/elevation layers in CSAR/BAG format. Further processing of the data files was done in GIS (Geographic Information System) software to remove suspect depth data points, to give a 'NoTrees' output. The output format of the files from this was '.img', which is GIS ready. The sidescan output was processed in Chesapeake Technology software SonarWiz (v7) and has had EGN (Empirical Gain Normalization) applied (calculated from the day's sidescan output). The data has then been output as 8-bit grey scales in '.tif ' (GeoTiff) format. The resolution of bathymetry output is mainly 25cm (some resolutions are 50cm). The sidescan output is also mainly 25cm resolution (some resolutions are 10cm). The MarineTools toolbox, mentioned in the 'readme' file, is available on the National Oceanography Centre website under the AtlantiS (Atlantic Climate and Environment Strategic Science) project. These data were produced as part of the Natural Environment Research Council (NERC) funded project 'Ecological implications of accelerated seabed mobility around windfarms' (EcoWind-ACCELERATE), with grant number NE/X008886/1, by scientists from the National Oceanography Centre (NOC) and Scottish Association for Marine Science (SAMS).",
            "keywords": "",
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            "dataPublishedTime": "2025-10-29T08:31:42",
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                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 19063425595,
                "numberOfFiles": 58,
                "fileFormat": ".xml; .img; .csar; .csar0; .tif; .bag; .ovr; .ige; .rrd; .csv"
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            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12749/?format=api",
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            "nonGeographicFlag": false,
            "phenomena": [],
            "dataLineage": "Data were produced by the project team and supplied to the British Oceanographic Data Centre. Data were published by BODC, and archived at the Centre for Environmental Data Analysis (CEDA).",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
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        {
            "ob_id": 44955,
            "uuid": "7b2b89836feb4fb3a737106e73016f42",
            "title": "ESA SATACI Climate Change Initiation (SATACI_cci): CISAR",
            "abstract": "This dataset contains data from the SATACI project as part of the ESA Climate Change Initiative.\r\n\r\nThis dataset is the CISAR dataset  which .....< description to be added>",
            "keywords": "",
            "publicationState": "preview",
            "dataPublishedTime": null,
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            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12751/?format=api",
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            "nonGeographicFlag": false,
            "phenomena": [],
            "dataLineage": "Data were produced by the SATACI project team in the context of the ESA Climate Change Initiative and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
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                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215376/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215377/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215378/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215379/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215380/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215381/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215382/?format=api"
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        },
        {
            "ob_id": 44956,
            "uuid": "08333ee4a0364756b59cf0810d4c7d59",
            "title": "ESA SATACI Climate Change Initiative (SATACI_cci): CISAR combined hourly AOD/COD products from MSG / SEVIRI, version ?",
            "abstract": "This dataset consists of hourly simultaneous aerosol and cloud optical depth (AOD and COD) retrievals using the Combined Inversion of Surface and Aerosols (CISAR) algorithm applied to SEVIRI observations onboard the MSG1 and MSG4 satellites. Leveraging the geostationary viewing geometry of both satellites, the information content is increased, improving the performance compared to a single-view retrieval (Heidinger et al., 2025). The dataset obtained extended the DUST2MSG dataset available on Zenodo (https://zenodo.org/records/8424628)  to -10º South and covers the whole year 2020, in the framework of the ESA x-ECV project SATACI.",
            "keywords": "SEVIRI, AOD, COD, SATACI, CISAR",
            "publicationState": "preview",
            "dataPublishedTime": null,
            "doiPublishedTime": null,
            "updateFrequency": "",
            "status": "pending",
            "result_field": null,
            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12751/?format=api",
            "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [],
            "dataLineage": "Data were produced by the SATACI project team in the context of the ESA Climate Change Initiative and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).",
            "removedDataTime": null,
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            "language": "English",
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                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216216/?format=api"
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        {
            "ob_id": 44977,
            "uuid": "b25cf8635ce7441ea53a064601080553",
            "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from ECCC's vaisala-cl61 instrument deployed at Edmonton, Canada",
            "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Environment and Climate Change Canada (ECCC)'s vaisala-cl61 deployed at Edmonton, Canada.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-EDT.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n    \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities.",
            "keywords": "E-PROFILE, ceilometer measurements",
            "publicationState": "published",
            "dataPublishedTime": "2025-10-10T23:15:09",
            "doiPublishedTime": null,
            "updateFrequency": "daily",
            "status": "ongoing",
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                "dataPath": "/badc/eprofile/data/daily_files/canada/edmonton/ecc-canada-vaisala-cl61_B",
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                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 334278357,
                "numberOfFiles": 140,
                "fileFormat": "Data are netCDF formatted."
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                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62347/?format=api"
            ],
            "dataLineage": "Data were collected by instrument and transmitted to the central E-PROFILE processing hub at the UK's Met Office before preparation and delivery to the Centre for Environmental Data Analysis (CEDA). CEDA then produces daily concatenated files before ingestion into the CEDA Archive.",
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        {
            "ob_id": 44981,
            "uuid": "a8370ba67b9f434bb9df10331c1035e5",
            "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CHMI's vaisala-cl51 instrument deployed at Plzen, Czech Republic",
            "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s vaisala-cl51 deployed at Plzen, Czech Republic.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11450.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n    \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities.",
            "keywords": "E-PROFILE, ceilometer measurements",
            "publicationState": "published",
            "dataPublishedTime": "2025-10-11T15:52:09",
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