Observation List – Django REST framework

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=10200

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

{
    "count": 10333,
    "next": "https://catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=10300",
    "previous": "https://catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=10100",
    "results": [
        {
            "ob_id": 45449,
            "uuid": "d08f11c0d8974174881fa97c0c46357c",
            "title": "FAAM C404 GRIM-SAF flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft",
            "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for GRIM-SAF FAAM Aircraft Project project.",
            "keywords": "GRIM-SAF, FAAM, airborne, atmospheric measurments",
            "publicationState": "published",
            "dataPublishedTime": "2025-07-14T10:31:01",
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "ongoing",
            "result_field": {
                "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/45448/?format=api",
                "dataPath": "/badc/faam/data/2025/c404-may-13",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 6779130682,
                "numberOfFiles": 36,
                "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted."
            },
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/12986/?format=api",
            "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/5053/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50851/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50853/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50856/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50857/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50934/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50936/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50937/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50942/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50949/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50950/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50952/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50953/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50965/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/51222/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/51223/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/51225/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/51227/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/51228/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/51229/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/51230/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/51271/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/51272/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/51279/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/51280/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/53949/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/53951/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/59964/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/59965/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/59966/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/59967/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/59969/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/59970/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/59971/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/59972/?format=api",
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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60052/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60055/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60056/?format=api",
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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60060/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60061/?format=api",
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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60070/?format=api",
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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60072/?format=api",
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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60078/?format=api",
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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60080/?format=api",
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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60205/?format=api",
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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60208/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60209/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60213/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60214/?format=api",
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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60217/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60218/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60219/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60220/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60221/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60224/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60225/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60229/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60231/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60233/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60235/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60236/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60237/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60238/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60239/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60240/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60241/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60242/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60243/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60244/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60245/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60246/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60247/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60248/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60249/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60250/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60251/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60252/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60253/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60254/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60255/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60256/?format=api",
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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60259/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60260/?format=api",
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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60262/?format=api",
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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60278/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60279/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60280/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60281/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60282/?format=api",
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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60284/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60287/?format=api",
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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60308/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60309/?format=api",
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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/62647/?format=api",
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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/62651/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/62652/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/62653/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/62654/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/62655/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/62656/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/62657/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/62658/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/62659/?format=api",
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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/62661/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/62662/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/62663/?format=api",
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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/74170/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/74171/?format=api",
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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/82404/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/92871/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/92872/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/92873/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/92874/?format=api",
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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/92876/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/92877/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/92878/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/92879/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/92880/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/92881/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/92882/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/92883/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/92884/?format=api",
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                "https://catalogue.ceda.ac.uk/api/v2/rpis/218239/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218240/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218241/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218242/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218243/?format=api"
            ],
            "procedureAcquisition": "https://catalogue.ceda.ac.uk/api/v2/acquisitions/45664/?format=api",
            "procedureCompositeProcess": null,
            "procedureComputation": null,
            "permissions": [],
            "discoveryKeywords": []
        },
        {
            "ob_id": 45669,
            "uuid": "5c4840f2437648bbb9e898587f67617c",
            "title": "EXPECT WP1.2 project output: Data assimilation of satellite ESA CCI soil moisture into JULES",
            "abstract": "This dataset contains the output of gridded JULES (Joint UK Land Environment Simulator) runs from 1980-2019 over Europe before and after 4DEnVar data assimilation of satellite ESA CCI soil moisture, as WP1.2 of the HORIZON Europe EXPECT project: “Towards an Integrated Capability to Explain and Predict Regional Climate Changes”. Forcing data from the Watch Forcing Data ERA5 data set was used. The ESA CCI soil moisture data was assimilated using the 4DEnVar technique of Pinnington et al. (2021), which assumes the 15 parameters of the Tóth pedotransfer function (PTF) are constant over the entire region of Europe. The JULES suite u-dx313 was used to determine the posterior PTF parameters for the time period 2014-2018,  followed by full JULES runs with suite u-du244 for both the prior and the posterior PTF parameters from 1980-2019.",
            "keywords": "JULES,4DEnVar data assimilation,ESA CCI soil moisture,WFDE5 driving data",
            "publicationState": "preview",
            "dataPublishedTime": null,
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "pending",
            "result_field": null,
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/13060/?format=api",
            "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/5108/?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": [],
            "observationcollection_set": [],
            "responsiblepartyinfo_set": [
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218252/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218253/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218254/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218255/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218256/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218257/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218258/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218259/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218260/?format=api"
            ],
            "procedureAcquisition": null,
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        {
            "ob_id": 45671,
            "uuid": "9ee63158ed994c3ab90971100df065df",
            "title": "Molecular Hydrogen and Carbon Monoxide records by PP1 from RHUL, Egham, UK.",
            "abstract": "Molecular Hydrogen and Carbon Monoxide mole fractions taken by the Greenhouse Gas Research Group of the Earth Sciences Department in the Royal Holloway University of London, in Egham, Surrey, United Kingdom from January 2023 to December 2024. The measurements are made by a Peak Performer 1 (PP1) (Gas chromatograph with a Reduction Compound Photometer detector), and calibrated against Jena Max Planck Institute scale.\r\n\r\nThis dataset was generated as part of the NERC grant NE/X011976/1 - New ways of measuring atmospheric hydrogen: paving the way for hydrogen leak quantification",
            "keywords": "Hydrogen, Carbon Monoxide, Gas Chromatography, PP1, RCP",
            "publicationState": "preview",
            "dataPublishedTime": null,
            "doiPublishedTime": null,
            "updateFrequency": "",
            "status": "pending",
            "result_field": null,
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/13061/?format=api",
            "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/5109/?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). Data were collected from the PP1 and processed by the Greenhouse Gas Research Group in RHUL.",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [],
            "projects": [
                "https://catalogue.ceda.ac.uk/api/v2/projects/45672/?format=api"
            ],
            "observationcollection_set": [],
            "responsiblepartyinfo_set": [
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218268/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218269/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218270/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218271/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218272/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218273/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218278/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218279/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218280/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218281/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218282/?format=api"
            ],
            "procedureAcquisition": "https://catalogue.ceda.ac.uk/api/v2/acquisitions/45673/?format=api",
            "procedureCompositeProcess": null,
            "procedureComputation": null,
            "permissions": [],
            "discoveryKeywords": []
        },
        {
            "ob_id": 45675,
            "uuid": "74186901e2fa445cafca72141f3630f1",
            "title": "Estimated monthly water levels across a subset region of the Congo Basin peatlands (2019 to 2020)",
            "abstract": "These data include estimates of the monthly water levels across a subset region of the Congo Basin peatland complex for the period March 2019 to October 2020. \r\n\r\nFilenames beginning with 'WL_monthly' contain the monthly minimum, maximum, mean, and standard deviation of the estimated daily water levels for a subset of the Cuvette Centrale region in the Central Congo Basin.\r\n\r\nFilenames beginning with just 'WL_' contain the minimum, maximum, mean, and standard deviation of the estimated daily water levels over the 20-month study period, March 2019 to October 2020.\r\n\r\nDetails of the method used to produce these data are included in the article: Georgiou, S.; Mitchard, E.T.A.; Crezee, B.; Dargie, G.C.; Young, D.M.; Jovani-Sancho, A.J.; Kitambo, B.; Papa, F.; Bocko, Y.E.; Bola, P.; et al. Mapping Water Levels across a Region of the Cuvette Centrale Peatland Complex. Remote Sens. 2023, 15, 3099. https://doi.org/10.3390/rs15123099.\r\n\r\nThese data were produced for the Natural Environment Research Council (NERC) project CongoPeat: Past, Present and Future of the Peatlands of the Central Congo Basin (grant reference: NE/R016860/1).",
            "keywords": "Congo,peatland,wetland,inundation,CongoPeat",
            "publicationState": "preview",
            "dataPublishedTime": null,
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "pending",
            "result_field": {
                "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/45874/?format=api",
                "dataPath": "/badc/deposited2026/Congo_peatland_water_levels/",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 12149406037,
                "numberOfFiles": 9,
                "fileFormat": "Contact support@ceda.ac.uk for file format information."
            },
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/13064/?format=api",
            "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/5112/?format=api",
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            "phenomena": [
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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/18405/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/18408/?format=api",
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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93313/?format=api"
            ],
            "dataLineage": "Details of the method used to produce these data are included in the article: Georgiou, S.; Mitchard, E.T.A.; Crezee, B.; Dargie, G.C.; Young, D.M.; Jovani-Sancho, A.J.; Kitambo, B.; Papa, F.; Bocko, Y.E.; Bola, P.; et al. Mapping Water Levels across a Region of the Cuvette Centrale Peatland Complex. Remote Sens. 2023, 15, 3099. https://doi.org/10.3390/rs15123099.\r\n\r\nCode available at: https://github.com/SelenaGeo/InundationMapping/.",
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            "language": "English",
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            "projects": [
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            "responsiblepartyinfo_set": [
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218289/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218290/?format=api",
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                "https://catalogue.ceda.ac.uk/api/v2/rpis/218312/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218313/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218314/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218315/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218316/?format=api"
            ],
            "procedureAcquisition": "https://catalogue.ceda.ac.uk/api/v2/acquisitions/45677/?format=api",
            "procedureCompositeProcess": null,
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                    "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api",
                    "useLimitation": null,
                    "accessConstraints": null,
                    "accessCategory": "public",
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        {
            "ob_id": 45681,
            "uuid": "7f48d3f0a30f4ca6923bf53987624ba7",
            "title": "Forced ocean model experiments using NEMO to isolate contribution of momentum and buoyancy fluxes to AMOC variability from 1958-2023.",
            "abstract": "This dataset was produced to investigate Atlantic Meridional Overturning Circulation (AMOC) variability driven by either momentum or buoyancy flux forcings, and its sensitivity to model resolution. The dataset is the global ocean model output for the years 1958-2023. The experimental design was developed by Amber Walsh and colleagues at the National Oceanography Centre (NOC), in collaboration with researchers at the National Center for Atmospheric Research (NCAR). Monthly output is provided at 1 degree and 0.25 degree horizontal resolution for four experiments: (i) interannual momentum flux forcing, (ii) interannual buoyancy flux forcing, (iii) fully interannually forced control (IAF), and (iv) repeat-year forcing (RYF), which excludes forced interannual variability. A wide range of ocean state variables are available for each experiment. All model runs were conducted with the NEMO ocean model using a modified NOC Near Present Day configuration.",
            "keywords": "climatologyMeteorologyAtmosphere, inlandWaters, oceans, geoscientificInformation, planningCadastre",
            "publicationState": "citable",
            "dataPublishedTime": "2026-03-09T00:00:00",
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            "status": "final",
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                "volume": 12676956297112,
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            "title": "EUCLEIA historical forcings experiment (2016 – 2024), a numerical simulation data produced by the UK Met Office using HadGEM3-A.",
            "abstract": "The data provided here are the numerical simulation data for the historical forcings-only short experiment (2016 – 2024 inclusive) as a test case for the upgraded Met Office HadGEM3-A based operational event attribution system for EUCLEIA (European Climate and weather Events: Interpretation and Attribution).\r\n\r\nImprovements include higher horizontal and vertical resolution (N216 L85) and the latest dynamical core (ENDGame) and land surface model (JULES). External forcings are historical natural variability of solar irradiance and volcanic aerosol optical depth as well as historical anthropogenic prescriptions of GHGs, ozone, aerosols and land use change.  SST and SIC lower boundary conditions are provided from the HadISST observational dataset. The experiment comprises a 15 member stochastic physics ensemble using kinetic energy backscatter and randomly perturbed physics schemes. Ensemble members are initialised from dumps taken from 0000Z December 1st 2013 at the end of the corresponding multi-decadal validation experiment.",
            "keywords": "eucleia, event, attribution, extreme, historical, short, test cases",
            "publicationState": "preview",
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                "volume": 896,
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            "title": "ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors_cci): daily and monthly L3 SO2 from TROPOMI, version 1.0",
            "abstract": "The Sulfur Dioxide (SO2) Climate Data Record (CDR) product is a Level 3 SO2 product developed by using satellite data from the TROPOMI instrument (on S5P) as part of the ESA Climate Change Initiative (CCI) Precursors for Aerosols and Ozone project.\r\n\r\nThis dataset provides gridded SO2 column densities of daily 0.25°x0.25° and monthly 0.125°x0.125° resolution grids from May 2018 to December 2024.  The L3 product is based on the Level 2 SO2 product created for the Precursors_cci project. Compared to the operational TROPOMI product, the air mass factors have been reprocessed using an update albedo climatology, and the CAMS Reanalysis Model for the a priori vertical profiles. The quality values have also been updated. In addition to the main product results, such as SO2 slant column, vertical column and air mass factor, the Level 3 data files contain several additional parameters and diagnostic information such as uncertainties, a priori profiles and averaging kernels. Data are available in NetCDF format. \r\n\r\nThe European Space Agency (ESA) Precursors for Aerosol and Ozone Climate Change Initiative (Precursors CCI) project is part of ESA's Climate Change Initiative (CCI) to produce long term datasets of Essential Climate Variables derived from global satellite data (https://climate.esa.int/en/projects/precursors-for-aerosols-and-ozone/)",
            "keywords": "ESA, CCI, Precursors",
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            "title": "ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors_cci): daily and monthly L3 SO2 from OMI, version 1.0",
            "abstract": "The Sulfur Dioxide (SO2) Climate Data Record (CDR) product is a Level 3 SO2 product developed by using satellite data from the OMI instrument (on AURA) as part of the ESA Climate Change Initiative (CCI) Precursors for Aerosols and Ozone project.\r\n\r\n This dataset provides gridded SO2 column densities of monthly 0.125°x0.125° and daily 0.25°x0.25° resolution grids from October 2004 to December 2022. The L3 product is based on the Level 2 SO2 product created for the Precursors_cci project. Compared to the operational OMI product, the SO2 slant columns are computed using the COBRA scheme, the air mass factors have been processed using the CAMS Reanalysis Model for the a priori vertical profiles. In addition to the main product results, such as SO2 slant column, vertical column and air mass factor, the Level 3 data files contain several additional parameters and diagnostic information such as uncertainties, a priori profiles and averaging kernels. Data are available in NetCDF format.\r\n\r\nThe European Space Agency (ESA) Precursors for Aerosol and Ozone Climate Change Initiative (Precursors CCI) project is part of ESA's Climate Change Initiative (CCI) to produce long term datasets of Essential Climate Variables derived from global satellite data (https://climate.esa.int/en/projects/precursors-for-aerosols-and-ozone/)",
            "keywords": "ESA, CCI, Precursors",
            "publicationState": "preview",
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            "updateFrequency": "",
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            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/13116/?format=api",
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            "ob_id": 45725,
            "uuid": "cb4a019f65434da79ec212c2941e0253",
            "title": "ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors_cci): monthly L3 SO2 from GOME, version 1.0",
            "abstract": "The Sulfur Dioxide (SO2) Climate Data Record (CDR) product is a Level 3 SO2 product developed by using satellite data from the GOME instrument (on ERS-2) as part of the ESA Climate Change Initiative (CCI) Precursors for Aerosols and Ozone project.\r\n\r\nThis dataset provides gridded SO2 column densities of monthly 1°x 1° resolution grids from April 1996 to June 2003. The L3 product is based on the Level 2 SO2 product created for the Precursors_cci project. The air mass factors have been reprocessed using the CAMS Reanalysis Model for the a priori vertical profiles. In addition to the main product results, such as SO2 slant column, vertical column and air mass factor, the Level 3 data files contain several additional parameters and diagnostic information such as uncertainties, a priori profiles and averaging kernels. Data are available in NetCDF format.\r\n\r\nThe European Space Agency (ESA) Precursors for Aerosol and Ozone Climate Change Initiative (Precursors CCI) project is part of ESA's Climate Change Initiative (CCI) to produce long term datasets of Essential Climate Variables derived from global satellite data (https://climate.esa.int/en/projects/precursors-for-aerosols-and-ozone/)",
            "keywords": "ESA, CCI, Precursors",
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            "title": "ESA River Discharge Climate Change Initiative (RD_cci): New product 2",
            "abstract": "TBD",
            "keywords": "river discharge, CCI, multispectral",
            "publicationState": "working",
            "dataPublishedTime": null,
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            "dataLineage": "Data were produced by the River Discharge CCI project, and supplied to CEDA for archiving as part of the CCI Open Data Portal.",
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            "title": "SSP370-126aer data produced by the GFDL-SPEAR_LO model for the Regional Aerosol Model Intercomparison Project (RAMIP)",
            "abstract": "This record contains data for the SSP370-126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using 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 SSP370-126aer coupled transient experiment runs from January 2015 to at least February 2051. Global aerosol and precursor emissions (SO2, black carbon and organic carbon) are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\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\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\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\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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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93201/?format=api"
            ],
            "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.",
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                "https://catalogue.ceda.ac.uk/api/v2/rpis/218602/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218603/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218604/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218605/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218606/?format=api"
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        {
            "ob_id": 45741,
            "uuid": "7033ce01098b4bd6a2ac3d55c47bb584",
            "title": "SSP370-SAS126aer data produced by the GFDL-SPEAR_LO model for the Regional Aerosol Model Intercomparison Project (RAMIP)",
            "abstract": "This record contains data for the SSP370-SAS126aer experiment simulations from 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 SSP370-SAS126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over South Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. South Asia is the region bounded by 65 and 95E and 5 and 35N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\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\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\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\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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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93201/?format=api"
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            "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.",
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                "https://catalogue.ceda.ac.uk/api/v2/rpis/218610/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218611/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218612/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218613/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218614/?format=api"
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        {
            "ob_id": 45743,
            "uuid": "6ce92de5f7d4440faed6ffa63ea45132",
            "title": "Images of airborne microplastics collected with Burkard spore traps",
            "abstract": "A Burkard spore trap was used to continuously sample air for 7 days from the roof of Hardy Building at the University of Hull (U.K.) (53° 46’ 16.87” N; 0° 22’ 2.64” W) starting at 10:00 am on 10/03/2023 and 11:00 am on 18/07/2023 respectively. A second Burkard trap was used for 7 days of sampling at Nelson Mandela University's South Campus in Summerstrand, Gqeberha, S.A. 34° 0'4.66\"S; 25°40'2.40\"E commencing at 13:00 pm on 03/08/2023. The traps were positioned on flat rooftops with the sampling orifice at least 1 m above the roof surface and at least 2 m away from the edge of the building.",
            "keywords": "Microplastic,Air,Airborne,Pollen,uFTIR,Airborne monitoring",
            "publicationState": "working",
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            "updateFrequency": "notPlanned",
            "status": "pending",
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            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/13094/?format=api",
            "geographicExtent": null,
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            "phenomena": [],
            "dataLineage": "Data were collected by researchers at the University of Hull and deposited at the Centre for Environmental Data Analysis (CEDA) for archiving",
            "removedDataTime": null,
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            "language": "English",
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        {
            "ob_id": 45747,
            "uuid": "6429d1aafe1e43b9b414e4a5a7f8b903",
            "title": "ESA Biomass Climate Change Initiative (Biomass_cci): Global datasets of forest above-ground biomass for the years 2005-2012 and 2015-2024, v7.0",
            "abstract": "This dataset comprises estimates of forest above-ground biomass (AGB) for the years between 2005 and 2012 and between 2015 and 2024. Examples of AGB change maps have been created for consecutive years (2020-2019) and for a decadal interval (2020-2010). Additionally provided in this version release are aggregated data products. These aggregated products of the AGB and AGB change data layers are available at coarser resolutions (1, 10, 25 and 50km).\r\n\r\nA Python tool is newly provided to compute AGB change maps for any pair of AGB maps. \r\n\r\nThe AGB maps are derived from a combination of Earth observation data, depending on the year, from the Copernicus Sentinel-1 mission, Envisat’s ASAR (Advanced Synthetic Aperture Radar) instrument and JAXA’s (Japan Aerospace Exploration Agency) Advanced Land Observing Satellite (ALOS-1 and ALOS-2), along with additional information from Earth observation sources, e.g., extended ICESat-2 observations to calibrate retrieval models. A cost function that preserves the temporal features as expressed in the remote sensing data is applied to limit biases between the 2005-2012 and the 2015-2024 AGB maps.\r\n\r\nThe AGB data products consist of two (2) global layers that include estimates of:\r\n1) above ground biomass (AGB, unit: tons/ha i.e., Mg/ha) (raster dataset). This is defined as the mass, expressed as oven-dry weight of the woody parts (stem, bark, branches and twigs) of all living trees excluding stump and roots per unit area\r\n2) per-pixel estimates of above-ground biomass uncertainty expressed as the standard deviation in Mg/ha (raster dataset)\r\n\r\nAn AGB change product consists of three sets of maps: the AGB change defined as the difference between two AGB maps, the standard deviation of the AGB change and a quality flag of the AGB change.\r\n\r\nData are provided in both netcdf and geotiff format.\r\n\r\nThis release of the data is version 7. Compared to version 6, version 7 consists of an update of the maps of AGB for the years 2007, 2010, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 and new AGB maps for 2005, 2006, 2008, 2009, 2011, 2012, 2023 and 2024. \r\n\r\nThe data has been produced as part of the European Space Agency's (ESA's) Climate Change Initiative (CCI) programme by the Biomass CCI team.",
            "keywords": "ESA, CCI, Biomass",
            "publicationState": "citable",
            "dataPublishedTime": "2026-05-21T11:16:19",
            "doiPublishedTime": "2026-05-21T12:29:59",
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            "status": "completed",
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                "dataPath": "/neodc/esacci/biomass/data/agb/maps/v7.0",
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                "storageStatus": "online",
                "volume": 816275648367,
                "numberOfFiles": 11417,
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            "phenomena": [
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            "dataLineage": "Data was created by the Biomass CCI team.",
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                    "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_biomass_terms_and_conditions_v2.pdf",
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            "uuid": "ae4c3cbeb789434dae221a5fe1478c13",
            "title": "Copernicus Climate Change Service: Cloud Properties L3 data from the SLSTR series, version 3.1",
            "abstract": "This record comprises 5.5 years (Jan 2017-Jun 2022) of global cloud observations from the Sea and Land Surface Temperature Radiometer (SLSTR) instruments, flown on board the Copernicus Sentinel-3A and B satellites. 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 continuation of the European Space Agency (ESA) Climate Change Initiative version 3.0 cloud product (Cloud_cci), produced from the Along Track Scanning Radiometer (ATSR) instruments, supplied to 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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            "abstract": "This nitrogen dioxide (NO2) climate data record (CDR) is a newly developed monthly Level 3 product derived from measurements by the Global Ozone Monitoring Experiment-2 (GOME-2) onboard the EUMETSAT's Meteorological Operational satellites MetOp-A, MetOp-B, and MetOp-C. The dataset has been generated within the framework of the ESA Climate Change Initiative (CCI) Precursors for Aerosols and Ozone project.\r\n\r\nThe GOME-2 NO2 Level 3 product contains comprehensive information, including essential variables (e.g., total, stratospheric, and tropospheric NO2 vertical column densities) and their uncertainties, observation viewing geometries, auxiliary input variables (e.g., surface albedo and cloud properties), and vertically resolved information (e.g., a priori profiles and averaging kernels) for each grid cell. The dataset is available at two spatial resolutions: 0.2° × 0.2° and 0.5° × 0.5°.\r\n\r\nProducts included in this collection are:\r\n-\tGOME-2/MetOp-A NO2 Level 3 product\r\n-\tGOME-2/MetOp-B NO2 Level 3 product\r\n-\tGOME-2/MetOp-C NO2 Level 3 product\r\n\r\nThe version number is 1.1. The data are provided in NetCDF format.",
            "keywords": "Nitrogen Dioxide, NO2, GOME-2, Metop-A, Metop-B, Metop-C, Climate Data Record, CDR, CCI",
            "publicationState": "preview",
            "dataPublishedTime": null,
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            "status": "completed",
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            "nonGeographicFlag": false,
            "phenomena": [],
            "dataLineage": "The L3 data were generated by spatiotemporally averaging AC SAF prototype L2 NO2 data as part of the ESA CCI precursors project. Data was provided to CEDA for archival.",
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            "language": "English",
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                "https://catalogue.ceda.ac.uk/api/v2/rpis/218860/?format=api"
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            "ob_id": 45809,
            "uuid": "fb236c93aa574cb9b5154db45dfdd784",
            "title": "The GEBCO_2026 Grid - a continuous terrain model for oceans and land at 15 arc-second intervals",
            "abstract": "The GEBCO_2026 Grid is a global continuous terrain model for ocean and land with a spatial resolution of 15 arc seconds. In regions largely outside of the Arctic and Southern Ocean areas, the grid uses as a base Version 2.8 of the SRTM15_plus data set. This data set is a fusion of land topography with measured and estimated seafloor topography. Included on top of this base grid are gridded bathymetric data sets developed by the four Regional Centers of The Nippon Foundation-GEBCO Seabed 2030 Project. The GEBCO_2026 Grid represents all data within the 2026 compilation. The compilation of the GEBCO_2026 Grid was carried out at the Seabed 2030 Global Center, hosted at the National Oceanography Centre, UK, with the aim of producing a seamless global terrain model. Outside of Polar regions, the Regional Centers provide their data sets as sparse grids i.e. only grid cells that contain data are populated. These data sets were included on to the base using a ‘remove-restore’ blending procedure. This is a two-stage process of computing the difference between the new data and the base grid and then gridding the difference and adding the difference back to the existing base grid. The aim is to achieve a smooth transition between the new and base data sets with the minimum of perturbation of the existing base data set. The data sets supplied in the form of complete grids (primarily areas north of 60N and south of 50S) were included using feather blending techniques from GlobalMapper software. The GEBCO_2026 Grid has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all. Funded by the Nippon Foundation, the four Seabed 2030 Regional Centers include the Southern Ocean - hosted at the Alfred Wegener Institute (AWI), Germany; Pacific Ocean - hosted at Earth Sciences New Zealand; Atlantic and Indian Oceans - hosted at the Lamont-Doherty Earth Observatory (LDEO), Columbia University, USA; Arctic and North Pacific Oceans – jointly hosted at Stockholm University, Sweden and the Center for Coastal and Ocean Mapping at the University of New Hampshire, USA.",
            "keywords": "elevation, oceans",
            "publicationState": "citable",
            "dataPublishedTime": "2026-04-23T13:51:15",
            "doiPublishedTime": "2026-04-23T13:51:15",
            "updateFrequency": "",
            "status": "completed",
            "result_field": {
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                "dataPath": "/bodc/gebco/global/gebco_2026",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 114739966435,
                "numberOfFiles": 114,
                "fileFormat": ".asc; .prj; .tif; .xml; .zip; .nc; .pdf; .csv; .txt; .xlsx"
            },
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/13119/?format=api",
            "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/4696/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/12066/?format=api",
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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50561/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/66280/?format=api",
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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/74864/?format=api"
            ],
            "dataLineage": "The GEBCO_2026 grid has been generated from bathymetric data sets compiled by the Nippon Foundation-GEBCO Seabed 2030 Grid Compilation Team. The global grid has been assembled from these inputs by the Seabed 2030 Global Center, hosted by the National Oceanography Centre, UK at the British Oceanographic Data Centre (BODC). On behalf of the GEBCO project, BODC make the compilation available for publication through the BODC Published Data Library and the GEBCO Project website. Data were published at BODC, and archived at the Centre for Environmental Data Analysis (CEDA).",
            "removedDataTime": null,
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            "language": "English",
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                "https://catalogue.ceda.ac.uk/api/v2/identifiers/13780/?format=api"
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                "https://catalogue.ceda.ac.uk/api/v2/observationcollections/43520/?format=api"
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                "https://catalogue.ceda.ac.uk/api/v2/rpis/218995/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218996/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218997/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218998/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/218999/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219000/?format=api"
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        },
        {
            "ob_id": 45811,
            "uuid": "bb481bfdf238490da5b30bf6be9581d2",
            "title": "Operation Weather Rescue: scanned copies of meteorological observation registers and tabulated records from Oxford's Radcliffe Observatory manuscript archives, 1760-1945",
            "abstract": "This dataset contains scanned copies of Oxford's Radcliffe Observatory manuscript archives, 1760-1945. The entire manuscript collection of meteorological observation registers and tabulated records from the former Radcliffe Observatory, a little over 32,000 pages in all, was commercially scanned in high resolution by Autodocs Ltd of Glasgow between January and March 2022. The project was funded by a NERC grant. Each page was scanned and the output stored in three formats, namely PDF, JPEG and TIFF, in increasing file size order. The TIFF files are highest resolution (600 dpi) and retain true document colours. JPEG files use lossy compression to reduce file size, but are otherwise identical for all practical purposes. The PDF files have had contrast and colour adjusted slightly to improve legibility, and file sizes are smaller. Page contents are identical regardless of file format.\r\n\r\nSeparate PDFs for e.g. daily sheets for one month's observations have been combined into a single file for ease of use and reference, while the TIFF and JPEGs remain one file per page.\r\n\r\nThe collection covers the following:\r\n- 1760-1805 MS observation notes by Thomas Hornsby\r\n- 1811-1820 Daily registers, mostly 3 obs/day. Note that the original logbook was missing when the scanning was undertaken, and these pages are JPEG and PDF files (no TIFFs available) from photographs taken by Tim Burt in 2017\r\n- 1820-1860 Daily (e.g. max, min, rainfall) and 3 obs/day data\r\n- 1855-1934 Sub-daily data in a variety of formats, including hourly transcriptions of many elements. A more detailed catalogue is available upon request providing more granular data by element and period\r\n- 1873-1935 Copies of climatological returns to the Met Office (incomplete series) - originals are in Met Office archives (and have since been scanned and made available online)\r\n- 1893-1945 Daily rainfall registers - two or more daily raingauges, with 00-00h totals as well as the standard 09-09h for some of this period.\r\n- 1952-1995 Various miscellaneous site and metadata information\r\n\r\nIn all, the TIFF collection amounts to 31,462 files and 0.98 TB: PDF 1983 files, 47.5 GB. JPEG files are not held on this disk, but are available on request, in original 'Volume number' and file name order. Both PDF and TIFF files have been re-sorted from the original volume/folio order into meaningful folder names, and the file names identify the content, such as 'Oxford_Daily_Data_1822.pdf' or '071_003_Oxford_Eye_Readings_1889-04-05.tiff'.\r\n\r\nWhere records relate to a month, the form yyyy-mm for year-month is used, months numbered 01-12. Additional numbers after the year such as -00 or -99 usually indicate front and back logbook covers, some of which contain handwritten notes on e.g. instrumental calibrations or adjustments.\r\n\r\nMore information on the Observatory records, including extensive metadata, is given in Oxford Weather and Climate since 1767 by Stephen Burt and Tim Burt, published by Oxford University Press in 2019, pp. 544. (see online resources for link).\r\n\r\nThe scanning was funded through support from the National Centre for Atmospheric Science (NCAS).",
            "keywords": "Met Office, Reports, Weather, Meteorology",
            "publicationState": "citable",
            "dataPublishedTime": "2026-05-16T19:43:02",
            "doiPublishedTime": "2026-05-20T15:07:10.739067",
            "updateFrequency": "notPlanned",
            "status": "completed",
            "result_field": {
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                "dataPath": "/badc/operation-weather-rescue/data/OXFORD-RADCLIFFE-SCANS",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 1138952955650,
                "numberOfFiles": 33986,
                "fileFormat": "JPEG, TIFF, PDF"
            },
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/13120/?format=api",
            "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/5131/?format=api",
            "nonGeographicFlag": false,
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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93267/?format=api"
            ],
            "dataLineage": "Data were digitised as part of the Operation Weather Rescue project and sent to the Centre for Environmental Data Analysis (CEDA) for archiving.",
            "removedDataTime": null,
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            "language": "English",
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                "https://catalogue.ceda.ac.uk/api/v2/rpis/219013/?format=api"
            ],
            "procedureAcquisition": "https://catalogue.ceda.ac.uk/api/v2/acquisitions/45813/?format=api",
            "procedureCompositeProcess": null,
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            "permissions": [
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                    "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api",
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                    "accessCategory": "public",
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                    "label": "public: None group",
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        },
        {
            "ob_id": 45814,
            "uuid": "28bea4e8c23547a7a5b8df656c16e8d4",
            "title": "Operation Weather Rescue: scanned copies of meteorological observation registers and tabulated records from the Devon and Exeter Institute manuscript archives, 1817-1975",
            "abstract": "This dataset contains scanned copies of the meteorological record from the Devon and Exeter Institute manuscript archives, 1817-1975, taken by a number of observers over the years at the site of the Devon and Exeter Institution (DEI), Exeter, Devon.\r\n\r\nThe location in the manuscripts is noted as being: \r\n50° 45' (50.75°N), 3° 41'W (3.683333°W).\r\n\r\nHowever, that places the location some way to the west of Exeter, whist the recordings were believed to have been made at the DEI building in Exeter:\r\n\r\nOS Grid reference: SX 92157 92615\r\nEastings: 292157\r\nNorthings: 092615\r\nLatitude: 50.723121 N \r\nLongitude: -3.5291675 W\r\n\r\nThe images are stored in a series of folders with the naming convention as follows:\r\n\r\nDEI_MR_[start year]_[end year]\r\n\r\nWhere:\r\n\r\nDEI = Devon and Exeter Institute\r\nMR = Meteorological Record\r\n[start year] and [end year] elements are taken as the years covered by the volume. In some cases there is a mid-year break between which volumes records are stored. \r\n\r\nWithin the folders the files are given the name IMG_####.jpg. The first file shows an image of the spine of the volume from which the subsequent images of the pages are given.\r\n\r\nThe imaging of the volumes was funded by the National Centre for Atmospheric Sciences and effort supported through the GLoSAT project.",
            "keywords": "Met Office, Reports, Weather, Meteorology",
            "publicationState": "citable",
            "dataPublishedTime": "2026-05-20T12:32:31",
            "doiPublishedTime": "2026-05-20T15:07:50.260114",
            "updateFrequency": "notPlanned",
            "status": "completed",
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                "dataPath": "/badc/operation-weather-rescue/data/DEVON-EXETER-INSTITUTE",
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                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 6829107628,
                "numberOfFiles": 2043,
                "fileFormat": "JPEG"
            },
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/13126/?format=api",
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            "dataLineage": "Data were digitised as part of the Operation Weather Rescue project and sent to the Centre for Environmental Data Analysis (CEDA) for archiving.",
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            "language": "English",
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                "https://catalogue.ceda.ac.uk/api/v2/identifiers/13868/?format=api"
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            ],
            "procedureAcquisition": "https://catalogue.ceda.ac.uk/api/v2/acquisitions/45817/?format=api",
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            "permissions": [
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        {
            "ob_id": 45818,
            "uuid": "4454095caf3d42f5a7d92cb5b06f87e3",
            "title": "Operation Weather Rescue: scanned copies of meteorological observation registers and tabulated records from the Leeds Philosophical Society manuscript archives, 1823-1850",
            "abstract": "This dataset contains scanned copies of the meteorological record from the Leeds Philosophical Society manuscript archives, 1823-1835.\r\n\r\nThe records are stored in Bretherton Library, University of Leeds, with the following description from the library archive:\r\n\r\nContains handwritten records of thermometer and barometer readings, wind direction, weather and rainfall, with journal of observations taken daily from January 1823 to March 1835. Data for later dates inserted loose in the first volume, with rough notes and journals. Vol. 1 is preceded by the minutes of the first meeting of the Meteorological Committee, December 1821.\r\n\r\nBiography or history\r\n\r\nThe Leeds Philosophical and Literary Society was founded in 1819 and played an important role in further education, in both the sciences and the humanities, in Leeds throughout most of the 19th century. The changing patterns of higher education and other circumstances were causing the Society to reconsider the scope of its activities by the time of the First World War; after the War the Society transferred its museum to the City of Leeds and its library to the University, and concentrated its efforts on publishing the results of research, issuing since 1925 two series of 'Proceedings' ('Literary and Historical' and 'Scientific').\r\n\r\nImages also include monthly mean temperatures for the 1840s.\r\n\r\nThe imaging of the volumes was funded by the National Centre for Atmospheric Sciences and effort supported through the GLoSAT project.",
            "keywords": "Reports, Weather, Meteorology",
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            "dataPublishedTime": "2026-05-20T12:28:51",
            "doiPublishedTime": "2026-05-20T13:32:51",
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            "status": "completed",
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            "title": "Operation Weather Rescue: scanned copies of meteorological observation registers and tabulated records from the Carbeth manuscript archives, 1817-1859",
            "abstract": "This dataset contains scanned copies of the meteorological record from the Carbeth manuscript archives, 1817-1859.\r\n\r\nScanned by National Records of Scotland\r\n\r\nNational Records of Scotland reference MET1/4/16\r\n\r\nThe imaging of the volumes was funded by the National Centre for Atmospheric Sciences and effort supported through the GLoSAT project.\r\n\r\nAdditionally, the manuscripts also hold some comparative monthly rain amounts from Glasgow, Bothwell and Greenock.",
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            "title": "Operation Weather Rescue: scanned copies of meteorological observation registers and tabulated records from the Aberdeen Grammar School manuscript archives, 1829-1839",
            "abstract": "This dataset contains scanned copies of the meteorological record from the Aberdeedn Grammar School manuscript archives, 1829-1839.\r\n\r\nScanned by Aberdeen City Archives: REF ED/GR6S/A58/33\r\n\r\nMarch 1829 - December 1839\r\n\r\nNational Archives of Scotland reference MET1/4/19 (their version may extend to 1849).\r\n\r\nThe imaging of the volumes was funded by the National Centre for Atmospheric Sciences and effort supported through the GLoSAT project.",
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            "title": "Operation Weather Rescue: scanned copies of meteorological observation registers and tabulated records from the Dollar Institute School manuscript archives, 1836-1856",
            "abstract": "This dataset contains scanned copies of the meteorological record from the Dollar Institute School  manuscript archives, 21 March 1836 to 20 March 1856.\r\n\r\nScanned by National Records of Scotland\r\n\r\nNational Records of Scotland reference MET1/4/11\r\n\r\nThe imaging of the volumes was funded by the National Centre for Atmospheric Sciences and effort supported through the GLoSAT project.",
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