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=10300
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "count": 10391,
    "next": null,
    "previous": "https://catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=10200",
    "results": [
        {
            "ob_id": 45843,
            "uuid": "daefeb0ff91145f9ad36678e82a68cd0",
            "title": "Operation Weather Rescue: scanned copies of meteorological observation registers and tabulated records from the Kirkcaldy manuscript archives, 1819-1841",
            "abstract": "This dataset contains scanned copies of the meteorological record from the Kirkcaldy manuscript archives, 1st January 1819 to 3rd April 1841. The record contains temperature and pressure readings taken at various times of the day.\r\n\r\nScanned by National Records of Scotland\r\n\r\nNational Records of Scotland reference MET1/4/32\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",
            "publicationState": "citable",
            "dataPublishedTime": "2026-05-16T20:26:01",
            "doiPublishedTime": "2026-05-20T13:55:53.647132",
            "updateFrequency": "notPlanned",
            "status": "completed",
            "result_field": {
                "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/45829/?format=api",
                "dataPath": "/badc/operation-weather-rescue/data/SCOTLAND/KIRKCALDY_1819-1841/",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 647214017,
                "numberOfFiles": 243,
                "fileFormat": "JPEG"
            },
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/13134/?format=api",
            "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/5139/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/10201/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/25388/?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,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [
                "https://catalogue.ceda.ac.uk/api/v2/identifiers/13865/?format=api"
            ],
            "projects": [
                "https://catalogue.ceda.ac.uk/api/v2/projects/27037/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/projects/44102/?format=api"
            ],
            "observationcollection_set": [
                "https://catalogue.ceda.ac.uk/api/v2/observationcollections/28048/?format=api"
            ],
            "responsiblepartyinfo_set": [
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219117/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219118/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219119/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219120/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219121/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219122/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219123/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219124/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219125/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219126/?format=api"
            ],
            "procedureAcquisition": "https://catalogue.ceda.ac.uk/api/v2/acquisitions/45844/?format=api",
            "procedureCompositeProcess": null,
            "procedureComputation": null,
            "permissions": [
                {
                    "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api",
                    "useLimitation": null,
                    "accessConstraints": null,
                    "accessCategory": "public",
                    "accessRoles": null,
                    "label": "public: None group",
                    "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/",
                    "licenceClassifications": "any, attribution required"
                }
            ],
            "discoveryKeywords": []
        },
        {
            "ob_id": 45847,
            "uuid": "88dc78a226634c1c929ce93ba8eb0074",
            "title": "ESA Water Vapour Climate Change Initiative (Water_Vapour_cci): Total Column Water Vapour monthly gridded data over land at 0.5 degree resolution, version 4.2",
            "abstract": "This dataset consists of monthly total column water vapour (TCWV) over land, at a 0.5 degree resolution, observed by various satellite instruments. \r\nIt has been produced by the European Space Agency Water Vapour Climate Change Initiative (Water_Vapour_cci), and forms part of their TCVW over land Climate Data Record 1 (TCWV-land (CDR-1)).\r\n\r\nThis version of the data is v4.2. This is an updated dataset from the v3.2 product, in summary providing the following improvements:\r\n- Time series has been extended, now covering years 2000-2023.\r\n- L1b input data has been extended by using the full time range of Terra MODIS measurements, and by ingesting Aqua MODIS and Sentinel-3 OLCI-B as additional sensors.\r\n- Number of L2 observations contributing to a L3 grid cell is now provided per single sensor.\r\n- Flags have been revised and extended.",
            "keywords": "water vapour, CCI, TCWV",
            "publicationState": "citable",
            "dataPublishedTime": "2026-07-01T13:51:16",
            "doiPublishedTime": "2026-07-01T14:01:26",
            "updateFrequency": "",
            "status": "completed",
            "result_field": {
                "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/45902/?format=api",
                "dataPath": "/neodc/esacci/water_vapour/data/TCWV-land/L3/v4.2/0.5deg/monthly",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 436253178,
                "numberOfFiles": 287,
                "fileFormat": "Files are provided in NetCDF format."
            },
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/13143/?format=api",
            "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50415/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50417/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/59109/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60310/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60311/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60312/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60313/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60315/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60316/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60317/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60318/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60319/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/82827/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93431/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93435/?format=api"
            ],
            "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": [
                "https://catalogue.ceda.ac.uk/api/v2/identifiers/13920/?format=api"
            ],
            "projects": [
                "https://catalogue.ceda.ac.uk/api/v2/projects/32934/?format=api"
            ],
            "observationcollection_set": [
                "https://catalogue.ceda.ac.uk/api/v2/observationcollections/45846/?format=api"
            ],
            "responsiblepartyinfo_set": [
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219152/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219146/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219151/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219145/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219147/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219148/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219149/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219150/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219154/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219153/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219234/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219235/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219155/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219156/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219157/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219158/?format=api"
            ],
            "procedureAcquisition": null,
            "procedureCompositeProcess": "https://catalogue.ceda.ac.uk/api/v2/composites/45858/?format=api",
            "procedureComputation": null,
            "permissions": [
                {
                    "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/2529/?format=api",
                    "useLimitation": null,
                    "accessConstraints": null,
                    "accessCategory": "public",
                    "accessRoles": null,
                    "label": "public: None group",
                    "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_watervapour_terms_and_conditions.pdf",
                    "licenceClassifications": "any"
                }
            ],
            "discoveryKeywords": [
                {
                    "ob_id": 1140,
                    "name": "ESACCI"
                }
            ]
        },
        {
            "ob_id": 45848,
            "uuid": "e86d5d9d7bd6430e98282475e2252226",
            "title": "ESA Water Vapour Climate Change Initiative (Water_Vapour_cci): Total Column Water Vapour monthly gridded data over land at 0.05 degree resolution, version 4.2",
            "abstract": "This dataset consists of monthly total column water vapour (TCWV) over land, at a 0.05 degree resolution, observed by various satellite instruments. \r\nIt has been produced by the European Space Agency Water Vapour Climate Change Initiative (Water_Vapour_cci), and forms part of their TCVW over land Climate Data Record 1 (TCWV-land (CDR-1)).\r\n\r\nThis version of the data is v4.2. This is an updated dataset from the v3.2 product, in summary providing the following improvements:\r\n- Time series has been extended, now covering years 2000-2023.\r\n- L1b input data has been extended by using the full time range of Terra MODIS measurements, and by ingesting Aqua MODIS and Sentinel-3 OLCI-B as additional sensors.\r\n- Number of L2 observations contributing to a L3 grid cell is now provided per single sensor.\r\n- Flags have been revised and extended.",
            "keywords": "water vapour, CCI, TCWV",
            "publicationState": "citable",
            "dataPublishedTime": "2026-07-01T13:51:09",
            "doiPublishedTime": "2026-07-01T14:01:11",
            "updateFrequency": "",
            "status": "completed",
            "result_field": {
                "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/45901/?format=api",
                "dataPath": "/neodc/esacci/water_vapour/data/TCWV-land/L3/v4.2/0.05deg/monthly/",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 31194627100,
                "numberOfFiles": 287,
                "fileFormat": "Files are provided in NetCDF format."
            },
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/13143/?format=api",
            "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50415/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50417/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/59109/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60310/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60311/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60312/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60313/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60315/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60316/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60317/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60318/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/60319/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/82827/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93431/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93435/?format=api"
            ],
            "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": [
                "https://catalogue.ceda.ac.uk/api/v2/identifiers/13919/?format=api"
            ],
            "projects": [
                "https://catalogue.ceda.ac.uk/api/v2/projects/32934/?format=api"
            ],
            "observationcollection_set": [
                "https://catalogue.ceda.ac.uk/api/v2/observationcollections/45846/?format=api"
            ],
            "responsiblepartyinfo_set": [
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219165/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219164/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219166/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219160/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219161/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219162/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219159/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219163/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219168/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219167/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219232/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219233/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219169/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219170/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219171/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219172/?format=api"
            ],
            "procedureAcquisition": null,
            "procedureCompositeProcess": "https://catalogue.ceda.ac.uk/api/v2/composites/45858/?format=api",
            "procedureComputation": null,
            "permissions": [
                {
                    "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/2529/?format=api",
                    "useLimitation": null,
                    "accessConstraints": null,
                    "accessCategory": "public",
                    "accessRoles": null,
                    "label": "public: None group",
                    "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_watervapour_terms_and_conditions.pdf",
                    "licenceClassifications": "any"
                }
            ],
            "discoveryKeywords": [
                {
                    "ob_id": 1140,
                    "name": "ESACCI"
                }
            ]
        },
        {
            "ob_id": 45849,
            "uuid": "04d7581f7c024e669bea5624993f8a95",
            "title": "Whole Atmosphere Community Climate Model (WACCM) and WACCM-RR simulations for 2010",
            "abstract": "The dataset was produced from two numerical simulations for the year 2010 using the Whole Atmosphere Community Climate Model with Regional Refinement (WACCM-RR). The standard configuration (Non-RR) uses a global horizontal resolution of approximately 1° (~111 km), while the refined configuration (RR) employs a nested grid of ~1/8° (~14 km) over the contiguous United States (CONUS) with 1° resolution elsewhere. The higher-resolution RR simulation directly resolves more gravity waves. Model outputs were post-processed to analyse differences in atmospheric composition and dynamics, including temperature, atomic oxygen (O), nitric oxide (NO), carbon monoxide (CO), carbon dioxide (CO2), and ozone (O3), as well as vertical fluxes. The workflow includes model configuration, execution, data extraction, and analysis.\r\n\r\nThis dataset has been generated using the cam6_2_011 development tag of the NSF National Center for Atmospheric Research (NCAR) Community Earth System Model (CESM).",
            "keywords": "WACCM,CESM,NCAR",
            "publicationState": "published",
            "dataPublishedTime": "2026-05-14T07:51:21",
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "completed",
            "result_field": {
                "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/45854/?format=api",
                "dataPath": "/badc/deposited2026/WACCM-RR_model_Kupilas/",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 9254759537878,
                "numberOfFiles": 10396,
                "fileFormat": "NetCDF"
            },
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/13139/?format=api",
            "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/5140/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/3837/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/3845/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/3857/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/4385/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/18405/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/18408/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/52192/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/52193/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/54922/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/54923/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/54926/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/54927/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/54928/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/54929/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/54931/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/54932/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/54963/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/54966/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/55047/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/55067/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/63572/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/92532/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93268/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93269/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93270/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93271/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93272/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93273/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93274/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93275/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93276/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93277/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93278/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93279/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93280/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93281/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93282/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93283/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93284/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93285/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93286/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93287/?format=api",
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            "abstract": "Magee Scientific Aethalometer is the instrument used for the real-time measurement of aerosol Black Carbon.\r\n7-wavelengh model: BC_370_nm; BC_470_nm; 520_nm; 590_nm\"; 660_nm; 880_nm; and 950_nm.",
            "keywords": "BC; UVBC",
            "publicationState": "working",
            "dataPublishedTime": null,
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "pending",
            "result_field": null,
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/13156/?format=api",
            "geographicExtent": null,
            "nonGeographicFlag": true,
            "phenomena": [],
            "dataLineage": "1. Data collected at the Birmingham Air Quality Site in 5 minute intervals.",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [],
            "projects": [
                "https://catalogue.ceda.ac.uk/api/v2/projects/45718/?format=api"
            ],
            "observationcollection_set": [],
            "responsiblepartyinfo_set": [
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219271/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219272/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219273/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219274/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219275/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219276/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219277/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219278/?format=api"
            ],
            "procedureAcquisition": "https://catalogue.ceda.ac.uk/api/v2/acquisitions/45870/?format=api",
            "procedureCompositeProcess": null,
            "procedureComputation": null,
            "permissions": [],
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        },
        {
            "ob_id": 45873,
            "uuid": "b561993597ad46f58c26cf58693b909d",
            "title": "Processed Autonomous Underwater Vehicle (AUV) multibeam bathymetry and backscatter data collected during RRS James Cook cruise JC257 in the UK-1 exploration area, Clarion-Clipperton Zone, Pacific Ocean, 2024",
            "abstract": "Multibeam Echosounder (MBES) bathymetry and backscatter data were acquired in the UK-1 exploration area of the Clarion-Clipperton Zone (CCZ), Pacific Ocean, using the Autonomous Underwater Vehicle (AUV) Autosub5-mounted Norbit WBMS-bathy MBES during RRS James Cook Cruise JC257 between 16/02/2024 and 09/03/2024. These datasets were collected to investigate local-scale seafloor morphology and to improve understanding of biodiversity patterns and benthic habitat distribution within the CCZ, by scientists from the National Oceanography Centre, Southampton, UK as part of the NERC-funded Seabed Mining And Resilience To EXperimental impact (SMARTEX). The AUV was used to map in high resolution the 0, 1, 16, 30 and 100 km sites. Bathymetric data were processed using Quality Positioning Services (QPS) Qimera 2.7.6, while backscatter data were subsequently processed using QPS FMGT 7.11.2. Tidal corrections were derived at the Long Mooring 1 site using the TMD toolbox, based on the TPXO global tidal inversion model developed at Oregon State University (OSU), and applied to the dataset. CTD-derived sound velocity profiles (SVPs) were then used to further refine the acoustic corrections. Semi-automatic and manual cleaning procedures were carried out to remove erroneous soundings, particularly along the outer swath edges. The 0–1 km site was surveyed during missions AS5M084 and AS5M085; the latter was spatially adjusted through the identification of common seafloor features. Sites at 16 and 30 km were surveyed during mission AS5M089. The 100 km site was mapped during missions AS5M093, AS5M094, and AS5M096, with AS5M093 used as a spatial reference to align the subsequent surveys based on shared geomorphological features. For each site, bathymetric grids were generated at 1, 2, and 5 m resolution, in WGS84 UTM Zone 11N projection, with interpolation applied where necessary to fill gaps between survey lines. Processed .gsf files were then exported to QPS FMGT to produce backscatter mosaics at 0.20 m resolution. Both backscatter and bathymetry data are supplied in .xyz format. Additionally, bathymetry are supplied in ESRI ASCII Raster format, and backscatter as GeoTIFF files.",
            "keywords": "",
            "publicationState": "citable",
            "dataPublishedTime": "2026-05-06T15:46:06",
            "doiPublishedTime": "2026-05-06T15:46:06",
            "updateFrequency": "",
            "status": "completed",
            "result_field": {
                "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/45872/?format=api",
                "dataPath": "/bodc/deposits03/soc260087",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 38478410627,
                "numberOfFiles": 47,
                "fileFormat": ".xyz; .asc; .prj; .tiff; .csv; .xlsx"
            },
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/13158/?format=api",
            "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/5144/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [],
            "dataLineage": "The data are archived on the British Oceanographic Data Centre (BODC)'s archive at the Centre for Environmental Data Analysis (CEDA) and assigned a DOI. No quality control procedures were applied by BODC.",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [
                "https://catalogue.ceda.ac.uk/api/v2/identifiers/13783/?format=api"
            ],
            "projects": [],
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            "responsiblepartyinfo_set": [
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219282/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219284/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219285/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219286/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219281/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219283/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219287/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219288/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219289/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219290/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219291/?format=api"
            ],
            "procedureAcquisition": null,
            "procedureCompositeProcess": null,
            "procedureComputation": null,
            "permissions": [
                {
                    "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api",
                    "useLimitation": null,
                    "accessConstraints": null,
                    "accessCategory": "public",
                    "accessRoles": null,
                    "label": "public: None group",
                    "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/",
                    "licenceClassifications": "any, attribution required"
                }
            ],
            "discoveryKeywords": []
        },
        {
            "ob_id": 45875,
            "uuid": "9944d0d7b14a42f9aa370df92cc5a8bb",
            "title": "BAQS: FIDAS PN data.",
            "abstract": "Data collected using a Palas Fidas 200.\r\nData submitted is hourly Total_Particle_concentration and 0.1000_um - 9.3057_um.",
            "keywords": "Particle Number,PN",
            "publicationState": "working",
            "dataPublishedTime": null,
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "pending",
            "result_field": null,
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/13161/?format=api",
            "geographicExtent": null,
            "nonGeographicFlag": true,
            "phenomena": [],
            "dataLineage": "1. Data collected at the Birmingham Air Quality Site in minute intervals.",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [],
            "projects": [
                "https://catalogue.ceda.ac.uk/api/v2/projects/45718/?format=api"
            ],
            "observationcollection_set": [],
            "responsiblepartyinfo_set": [
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219315/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219316/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219317/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219318/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219319/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219320/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219321/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219322/?format=api"
            ],
            "procedureAcquisition": "https://catalogue.ceda.ac.uk/api/v2/acquisitions/45876/?format=api",
            "procedureCompositeProcess": null,
            "procedureComputation": null,
            "permissions": [],
            "discoveryKeywords": []
        },
        {
            "ob_id": 45881,
            "uuid": "96388e7a347b4a5fa287f012eb5d6920",
            "title": "EOCIS: CHUK Aerosol Optical Depth, Monthly L3C Product, v1.14",
            "abstract": "This dataset contains Climate High resolution UK (CHUK) Aerosol Optical Depth data produced within the Earth Observation Climate Information Service (EOCIS) project.\r\n\r\nThese data are derived from Swansea University Global Aerosol retrievals (v1.14) for the Sea and Land Surface Temperature Radiometers (SLSTR) on the Sentinel-3A and Sentinel-3B satellites (https://catalogue.ceda.ac.uk/uuid/17d83baf50a644d89a4fb78ca6cccec1/) Original level 2 retrievals in the UK region have been re-projected from the instrument swath onto the Climate High-resolution grid for the UK at 100m resolution and composited on a monthly timescale. They contain the aerosol optical depth and the fine-mode aerosol optical depth at 550nm. Two versions of each variable are included: with and without the post-processing filtering that is used in the global dataset.",
            "keywords": "Aerosol,Optical,depth,UK,SLSTR,Sea,Surface,Temperature,Radiometer,High-resolution,EOCIS",
            "publicationState": "citable",
            "dataPublishedTime": "2026-06-15T09:37:49",
            "doiPublishedTime": "2026-07-02T13:57:21.203907",
            "updateFrequency": "notPlanned",
            "status": "completed",
            "result_field": {
                "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/45889/?format=api",
                "dataPath": "/neodc/eocis/data/CHUK/aerosol_optical_depth/SLSTR/L3C/monthly/v1.14",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 34308490091,
                "numberOfFiles": 190,
                "fileFormat": "The data are in NetCDF format."
            },
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/12069/?format=api",
            "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/4693/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/74919/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/74920/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/74921/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/74922/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93314/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93315/?format=api"
            ],
            "dataLineage": "This dataset was produced by Swansea University in the context of the Earth Observation Climate Information Service project.",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [
                "https://catalogue.ceda.ac.uk/api/v2/identifiers/13923/?format=api"
            ],
            "projects": [
                "https://catalogue.ceda.ac.uk/api/v2/projects/43216/?format=api"
            ],
            "observationcollection_set": [
                "https://catalogue.ceda.ac.uk/api/v2/observationcollections/45880/?format=api"
            ],
            "responsiblepartyinfo_set": [
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220060/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219347/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219348/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219349/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219350/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219351/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219346/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219353/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219352/?format=api"
            ],
            "procedureAcquisition": "https://catalogue.ceda.ac.uk/api/v2/acquisitions/43477/?format=api",
            "procedureCompositeProcess": null,
            "procedureComputation": null,
            "permissions": [
                {
                    "ob_id": "https://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, attribution required"
                }
            ],
            "discoveryKeywords": []
        },
        {
            "ob_id": 45882,
            "uuid": "809e67dc32ac4679a5d6a18a35551213",
            "title": "EOCIS: CHUK Particulate Matter (PM2.5, PM10), Monthly L3C Product, v1.14",
            "abstract": "This dataset contains Particulate Matter (PM2.5, PM10) data produced within the Earth Observation Climate Information Service (EOCIS) project. These data are produced by a machine learning algorithm that combines inputs from satellite, in-situ and analysis data sources. The algorithm generates measurements of the particulate matter (PM) at sizes smaller than 2.5 µm (PM2.5) and 10 µm (PM10). Original level 2 retrievals in the UK region have been reprojected from the instrument swath onto the Climate High-resolution grid for the UK (CHUK) at 100m resolution and composited over daily and monthly timescales. Two versions of each variable are included: with and without the post-processing filtering that is used in the global AOD dataset that is used as an input.",
            "keywords": "Particulate,Matter,PM2.5,PM10,Aerosol,Surface,Temperature,Land,Radiometer,SLSTR,Sea,EOCIS",
            "publicationState": "citable",
            "dataPublishedTime": "2026-06-15T09:39:59",
            "doiPublishedTime": "2026-07-02T13:58:08.626208",
            "updateFrequency": "notPlanned",
            "status": "completed",
            "result_field": {
                "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/45891/?format=api",
                "dataPath": "/neodc/eocis/data/CHUK/particulate_matter/SLSTR/L3C/monthly/v1.14",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 21382335261,
                "numberOfFiles": 136,
                "fileFormat": "The data are in NetCDF format."
            },
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/12213/?format=api",
            "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/4727/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/74919/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/74920/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/74921/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/74922/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93324/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93325/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93326/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93327/?format=api"
            ],
            "dataLineage": "This dataset was produced by Swansea University in the context of the Earth Observation Climate Information Service project.",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [
                "https://catalogue.ceda.ac.uk/api/v2/identifiers/13925/?format=api"
            ],
            "projects": [
                "https://catalogue.ceda.ac.uk/api/v2/projects/43216/?format=api"
            ],
            "observationcollection_set": [
                "https://catalogue.ceda.ac.uk/api/v2/observationcollections/45879/?format=api"
            ],
            "responsiblepartyinfo_set": [
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220062/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219355/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219356/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219357/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219358/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219359/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219360/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219354/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219361/?format=api"
            ],
            "procedureAcquisition": "https://catalogue.ceda.ac.uk/api/v2/acquisitions/43743/?format=api",
            "procedureCompositeProcess": null,
            "procedureComputation": null,
            "permissions": [
                {
                    "ob_id": "https://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, attribution required"
                }
            ],
            "discoveryKeywords": []
        },
        {
            "ob_id": 45903,
            "uuid": "b11a935c076243c1bf5c0c590e62af66",
            "title": "Images of airborne particles including microplastics captured using Burkard spore traps at Hull, UK and Gqeberha, South Africa (March, July, and August 2023)",
            "abstract": "This dataset contains images of airborne particles captured by Burkard spore traps, a method commonly used for global pollen monitoring. The images can be used for the identification, characterisation, and quantification of outdoor airborne particles, including microplastics.\r\n\r\nBurkard spore traps continuously sampled air for seven days at the following times and locations:\r\n- The University of Hull, UK (53° 46’ 16.87” N; 0° 22’ 2.64” W) starting at 10:00 on 10/03/2023\r\n- The University of Hull, UK (53° 46’ 16.87” N; 0° 22’ 2.64” W) starting at 11:00 on 18/07/2023\r\n- Nelson Mandela University, Gqeberha, South Africa (34° 0'4.66\"S; 25°40'2.40\"E) starting at 13:00 on 03/08/2023\r\n\r\nTraps were on flat roofs with the sampling orifice at least 1 m above the surface and at least 2 m away from the building edge. Tape adhesive was glycine jelly and an oxidative digest using 30% hydrogen peroxide was performed to remove organic mater.\r\n\r\nThis dataset consists of screenshot images of airborne particles during downstream analysis with Fourier Transform Infrared (FTIR) spectroscopy, used to identify materials, in OMNIC Picta software. Low-resolution screenshots are provided because the original images are no longer available.\r\n\r\nFiles are named using the convention Burkard_City_Country_Month_DataCollectionDay_ParticleNumber.jpg, e.g.:\r\n- Burkard_Gqeberha_SA_August_1B_3.jpg\r\n- Burkard_Hull_UK_March_C4_48.jpg\r\n\r\nThis dataset was produced under Natural Environment Research Council (NERC) project 'Development of the first global standard for airborne microplastic monitoring' (grant reference: NE/X010201/1).",
            "keywords": "Airborne, Particles, Microplastics, Pollution, Pollen, Monitoring, Public Health, Air Quality",
            "publicationState": "published",
            "dataPublishedTime": "2026-08-10T14:53:14",
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "pending",
            "result_field": {
                "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/46155/?format=api",
                "dataPath": "/badc/deposited2026/Airborne_particles_spore_traps/",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 50430499,
                "numberOfFiles": 1538,
                "fileFormat": "JPEG"
            },
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/13316/?format=api",
            "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/5186/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [],
            "dataLineage": "Data were produced by the project team. At the time of archiving the original data were no longer available, so low-resolution JPEG screenshots from the OMNIC Picta software were supplied for archiving at the Centre for Environmental Data Analysis (CEDA) in place of the original data.",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [],
            "projects": [
                "https://catalogue.ceda.ac.uk/api/v2/projects/45744/?format=api"
            ],
            "observationcollection_set": [],
            "responsiblepartyinfo_set": [
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220439/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219385/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219386/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219387/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219388/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219389/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219399/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219384/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219401/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219413/?format=api"
            ],
            "procedureAcquisition": "https://catalogue.ceda.ac.uk/api/v2/acquisitions/45904/?format=api",
            "procedureCompositeProcess": null,
            "procedureComputation": null,
            "permissions": [
                {
                    "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api",
                    "useLimitation": null,
                    "accessConstraints": null,
                    "accessCategory": "public",
                    "accessRoles": null,
                    "label": "public: None group",
                    "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/",
                    "licenceClassifications": "any, attribution required"
                }
            ],
            "discoveryKeywords": []
        },
        {
            "ob_id": 45905,
            "uuid": "a7c36b1be037423cbcd920a968801b27",
            "title": "Atmospheric tidal coefficients from an SD-WACCM-D simulation at two longitudinal slices: the equator and 69 degrees north (2005–2013)",
            "abstract": "This dataset was extracted from two numerical simulations of the Earth's atmosphere calculated using the Specified Dynamics version of the Whole Atmosphere Community Climate Model (WACCM) with D-region ionic chemistry.\r\n\r\nIncluded with both simulations are the fourier coefficients required to calculate the atmospheric tides at two longitudinal slices, one over the equator and one at 69 degrees north. The latter location covers a highly instrumented site, allowing for the inclusion of radar observations of atmospheric tides. The daily mean state of the atmosphere at these two locations is also included. In the first run, both the geomagnetic activity and F10.7 flux provided to the model represented daily means. In the second run, the data have a three-hour temporal resolution.\r\n\r\nThese data were produced by University of Leeds and British Antarctic Survey (BAS) scientists under Natural Environment Research Council (NERC) project MesoS2D (grant reference: NE/V018426/1).",
            "keywords": "atmospheric tides, CESM, WACCM, NE/V018426/1",
            "publicationState": "published",
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            "title": "Cyclones, fronts, thunderstorms, and their concurrence: Seven categories of European storm type identified in ECMWF ERA5 over the North Atlantic region",
            "abstract": "A dataset of storm types over Europe developed for the purpose of understanding the importance of these storm types for precipitation in the region.\r\n\r\nThe files are gridded NetCDF format containing one month of data each. They are the storm types identified from the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis dataset (ERA5) identified over the North Atlantic/European region.\r\n  \r\nThe storm types are numbered from 1-7 as follows:  \r\n1 - cyclone only  \r\n2 - front only  \r\n3 - thunderstorm only  \r\n4 - cyclone + front  \r\n5 - cyclone + thunderstorm  \r\n6 - front + thunderstorm  \r\n7 - cyclone + front + thunderstorm  \r\n  \r\nThe cyclones and fronts are identified using updated versions of the algorithms described in Catto and Dowdy (2021), specifically the front identification of Sansom and Catto (2023). The thunderstorm data is calculated using a proxy described in Dowdy (2022). See links to publications below.\r\n\r\nThe storm type data are on a 0.25 degree longitude-latitude grid between 20.75 and 69.25 degrees N and 45 degrees W to 45 degrees E, every 6 hours.\r\n\r\nThis dataset was produced under Natural Environment Research Council (NERC) project 'STORMY-WEATHER: Plausible storm hazards in a future climate' (grant reference: NE/V004166/1).",
            "keywords": "Storm types,Cyclone,Front,Thunderstorm,Europe",
            "publicationState": "preview",
            "dataPublishedTime": null,
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "pending",
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            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/13194/?format=api",
            "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/5155/?format=api",
            "nonGeographicFlag": false,
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            "dataLineage": "The cyclones and fronts are identified using updated versions of the algorithms described in Catto and Dowdy (2021), specifically the front identification of Sansom and Catto (2023). The thunderstorm data is calculated using a proxy described in Dowdy (2022).",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
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            "projects": [
                "https://catalogue.ceda.ac.uk/api/v2/projects/45952/?format=api"
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            "responsiblepartyinfo_set": [
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220478/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219564/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219565/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219566/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219567/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219568/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219571/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219563/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219572/?format=api"
            ],
            "procedureAcquisition": "https://catalogue.ceda.ac.uk/api/v2/acquisitions/45953/?format=api",
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        },
        {
            "ob_id": 45955,
            "uuid": "e8c0d44bcc1f47ff888f3aa5d02b4597",
            "title": "Sea ice fraction estimates from low-level aircraft compiled from ACCACIA, Iceland Greenland Seas Project and Arctic Summertime Cyclones project flights",
            "abstract": "This dataset contains sea-ice fraction estimates, based on albedo from shortwave radiation during low-level aircraft legs, as well as a few other aircraft measurements compiled from several field campaigns: Aerosol Cloud Coupling and Climate Interactions in the Arctic (ACCACIA), Iceland Greenland Seas  (IGP) Project and Arctic Summertime Cyclones (ASC) project flights. The data are derived from the BAE-146 measurements on the FAAM and Meteorological Airborne Science Instrumentation (MASIN) instrumentation measurements onboard the British Antarctic Survey (BAS) Twin Otter aircraft. All field campaigns were funded by NERC under the ACCACIA (NE/I028297/1), IGP (NE/N009754/1) and Arctic Summertime Cyclones (NE/T00682X/1) grants. \r\n\r\nThis compilation is a subset of data taken from ‘surface turbulence data sets’ for each individual campaign (also on CEDA).",
            "keywords": "ACCACIA, IGP, Arctic Summertime Cyclones, FAAM, MASIN, turbulence",
            "publicationState": "published",
            "dataPublishedTime": "2026-05-20T09:46:11",
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "ongoing",
            "result_field": {
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                "dataPath": "/badc/accacia/data/ACCACIA_IGP_ASC_sea_ice_fraction_estimates",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 158618,
                "numberOfFiles": 3,
                "fileFormat": "ASCII text"
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            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/13195/?format=api",
            "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/5156/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/4385/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/18405/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/18408/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/20490/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50340/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/92544/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93410/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93411/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93412/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93413/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93414/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93415/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93416/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93425/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93426/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93427/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93428/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93429/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93430/?format=api"
            ],
            "dataLineage": "These data were produced by the project team and the output data were then supplied to CEDA for archiving.",
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                "https://catalogue.ceda.ac.uk/api/v2/projects/24899/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/projects/41265/?format=api"
            ],
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                "https://catalogue.ceda.ac.uk/api/v2/observationcollections/41339/?format=api"
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                "https://catalogue.ceda.ac.uk/api/v2/rpis/219579/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219584/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219580/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219581/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219578/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219582/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219587/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219586/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219589/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219590/?format=api"
            ],
            "procedureAcquisition": "https://catalogue.ceda.ac.uk/api/v2/acquisitions/45957/?format=api",
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        },
        {
            "ob_id": 45958,
            "uuid": "9d86d7af20d9476b95071e7dc2d59ba2",
            "title": "UAV-mounted lidar measurements of peat surface elevation from the Cuvette Centrale peatlands, Congo Basin (February 2019)",
            "abstract": "This dataset contains peat surface elevation measurements acquired between 17–27 February 2019 from Epena and Ekolongouma, two locations in the Cuvette Centrale peatlands region of the central Congo Basin.\r\n\r\nThe data consist of two airborne laser scanning (ALS, or lidar) tracks acquired using a Delair DT26x unmanned aerial vehicle (UAV, or drone) equipped with a Riegl VUX-1UAV scanner, with a ground point density up to 35 per square metre used with a local DGPS (Differential Global Positioning System) ground station. The profiles extend from the peat edge to 2 km and 5 km into the peat region.\r\n\r\nCoordinate system: WGS84, EPSG:4326\r\nFile format: .laz, the industry-standard compressed ALS data format (linked in documentation section)\r\nRelated publication: Davenport, I.J.; McNicol, I.; Mitchard, E.T.A.; Dargie, G.; Suspense, I.; Milongo, B.; Bocko, Y.E.; Hawthorne, D.; Lawson, I.; Baird, A.J.; et al. First Evidence of Peat Domes in the Congo Basin using LiDAR from a Fixed-Wing Drone. Remote Sens. 2020, 12, 2196. https://doi.org/10.3390/rs12142196 (linked in documentation section)\r\n\r\nThis dataset was produced as part of 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": "ALS,LiDAR,UAV,Drone",
            "publicationState": "published",
            "dataPublishedTime": "2026-08-13T14:29:45",
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "completed",
            "result_field": {
                "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/46148/?format=api",
                "dataPath": "/badc/congopeat/data/congo_peat_elevation_lidar",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 2454603091,
                "numberOfFiles": 4,
                "fileFormat": "LAZ"
            },
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/13198/?format=api",
            "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/5160/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [],
            "dataLineage": "Acquired using a Delair DT26x unmanned aerial vehicle (UAV, or drone) equipped with a Riegl VUX-1UAV scanner, with a ground point density up to 35 per square metre used with a local DGPS ground station. Delivered by the project team to CEDA for archiving.",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [],
            "projects": [
                "https://catalogue.ceda.ac.uk/api/v2/projects/46093/?format=api"
            ],
            "observationcollection_set": [],
            "responsiblepartyinfo_set": [
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220178/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219594/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219595/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219596/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219597/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219598/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219599/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219593/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219600/?format=api"
            ],
            "procedureAcquisition": "https://catalogue.ceda.ac.uk/api/v2/acquisitions/45959/?format=api",
            "procedureCompositeProcess": null,
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            "permissions": [
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                    "accessConstraints": null,
                    "accessCategory": "public",
                    "accessRoles": null,
                    "label": "public: None group",
                    "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/",
                    "licenceClassifications": "any, attribution required"
                }
            ],
            "discoveryKeywords": []
        },
        {
            "ob_id": 45963,
            "uuid": "169c4a825c1c4c6e834e24e382deea01",
            "title": "UK Earth System Model 1.1 simulations for the Geoengineering Model Intercomparison Project V0",
            "abstract": "UK Earth System Model 1.1 simulations for the Geoengineering Model Intercomparison Project V0\r\nThe dataset contains commonly-used variables for SSP2-4.5 (2 versions), and G6-1.5K-SAI, G6-1.5K-MCB, and G6-1.5K-HiLLA.\r\nThe G6-1.5K simulations use SSP2-4.5 as the background greenhouse gas emission scenario and maintain global mean temperature at ~1.5K, defined as the mean temperature in 2020-39 via different cooling methods.\r\nG6-1.5K-SAI (Stratospheric Aerosol Injection) emits sulphur dioxide at 30 degrees North and South at 22km.\r\nG6-1.5K-MCB (Marine Cloud Brightening) emits sea salt aerosols at the lowest atmospheric layer in five midlatitude regions.\r\nG6-1.5K-HiLLA (High Latitude Low Altitude) emits sulphur dioxide at 60 degrees North and South at 15km in the spring of each hemisphere.\r\nSAI and HiLLA use the SSP2-4.5 version with heterogeneous chemistry on injected stratospheric aerosols, and MCB uses the SSP2-4.5 version without.",
            "keywords": "CMIP6,UKESM,GeoMIP",
            "publicationState": "preview",
            "dataPublishedTime": null,
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "pending",
            "result_field": null,
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/13202/?format=api",
            "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/5162/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [],
            "dataLineage": "This is the CMIP6 generation version of the Geoengineering Model Intercomparison Tier 1 experiments as described in 'The Geoengineering Model Intercomparison Project (GeoMIP) contribution to CMIP7 – description of new experimental protocols and preliminary results' by Visioni et al. (2026) https://doi.org/10.5194/egusphere-2026-2417.\r\nThe simulations were run on the Met Office HPC, CMORised using CDDS, and uploaded to CEDA.",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [],
            "projects": [],
            "observationcollection_set": [],
            "responsiblepartyinfo_set": [
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219645/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219646/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219647/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219648/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219649/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219650/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219652/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219653/?format=api"
            ],
            "procedureAcquisition": null,
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            "permissions": [],
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        },
        {
            "ob_id": 45964,
            "uuid": "8c6b162587e34320be276a8503819583",
            "title": "BAQS: SMPS PN data",
            "abstract": "Data collected using a TSI3938. Data submitted is hourly Total Particle concentration and particle size distribution from 10_nm to 800_nm. Data collected at the Birmingham Air Quality Site.",
            "keywords": "",
            "publicationState": "working",
            "dataPublishedTime": null,
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "pending",
            "result_field": null,
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/13204/?format=api",
            "geographicExtent": null,
            "nonGeographicFlag": true,
            "phenomena": [],
            "dataLineage": "1. Data collected at the Birmingham Air Quality Site in minute intervals.",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [],
            "projects": [
                "https://catalogue.ceda.ac.uk/api/v2/projects/45718/?format=api"
            ],
            "observationcollection_set": [],
            "responsiblepartyinfo_set": [
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219658/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219659/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219660/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219661/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219662/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219663/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219664/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219665/?format=api"
            ],
            "procedureAcquisition": "https://catalogue.ceda.ac.uk/api/v2/acquisitions/45965/?format=api",
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        {
            "ob_id": 45967,
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            "title": "test for record access",
            "abstract": "test for record access",
            "keywords": "",
            "publicationState": "working",
            "dataPublishedTime": null,
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "pending",
            "result_field": null,
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/13205/?format=api",
            "geographicExtent": null,
            "nonGeographicFlag": true,
            "phenomena": [],
            "dataLineage": "test",
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            "responsiblepartyinfo_set": [
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219668/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219669/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219670/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219671/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219672/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219673/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/219674/?format=api"
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        {
            "ob_id": 45968,
            "uuid": "e020b3328b064b76898bb6e25b7b78d5",
            "title": "TOMCAT (VSLS): Sources and Impacts of Short-Lived Anthropogenic Chlorine",
            "abstract": "The TOMCAT 3D offline chemical transport model is designed to represent the complex interactions between atmospheric chemistry, dynamics, and transport. Simulation is performed using external meteorological reanalysis fields (ERA5) for January 1977 to March 2025. The model simulates the evolution of chemical species by integrating time-varying emissions, solar fluxes, and stratospheric aerosol data. By utilizing predefined scenarios, such as the WMO 2022 projections, the TOMCAT model provides a consistent framework for investigating how short-lived substances and ozone-depleting gases influence stratospheric composition and climate feedback mechanisms over decadal timescales.\r\n\r\nThe data are pre-processed (zonal mean monthly mean on pressure and height levels).",
            "keywords": "VSLS,CTM,Stratosphere",
            "publicationState": "preview",
            "dataPublishedTime": null,
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "pending",
            "result_field": {
                "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/45997/?format=api",
                "dataPath": "/badc/deposited2026/TOMCAT_chlorine/",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 694967809,
                "numberOfFiles": 131,
                "fileFormat": "NetCDF"
            },
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/13207/?format=api",
            "geographicExtent": null,
            "nonGeographicFlag": true,
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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93441/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93442/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93443/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93444/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93445/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93446/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93447/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93448/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93449/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93450/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93451/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93452/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93453/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93454/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93455/?format=api",
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            "title": "6-hourly data produced by the CESM2 model for the Regional Aerosol Model Intercomparison Project (RAMIP)",
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            "title": "HadUK-Grid Climate Observations by Administrative Regions over the UK, v1.3.2.ceda (1836-2025)",
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        {
            "ob_id": 46047,
            "uuid": "30ad58b60d8c4a4dab6d64a40640540a",
            "title": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 5.2",
            "abstract": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 5.2 is a gridded continuous terrain model covering ocean and land of the Arctic region. The International Bathymetric Chart of the Arctic Ocean was initiated in 1997 and has since been the authoritative source of bathymetry for the Arctic Ocean. In 2017, the IBCAO merged its efforts with the Nippon Foundation-GEBCO Seabed 2030 Project, with the goal of mapping the global seafloor by 2030. The IBCAO Version 5.2 Grid was released in June 2026, updated from IBCAO Version 5.1.\r\n\r\nThe bathymetric grid released in IBCAO Version 5.2 is available in data GeoTIFF raster format. Elevation values are provided in metres (negative below the sea surface). The IBCAO Version 5.2 dataset comprises a grid with Greenland ice sheet data at 100 m, 200 m and 400 m grid cell spacing. A Version 5.2 grid without Greenland ice sheet data is also available. IBCAO Version 5.2 imagery is also provided in .tiff format at 100m grid cell spacing. \r\n\r\nAlongside the bathymetric grid, a data Type Identifier Grid (TID) and Source Identifier Grid (SID) are also provided, each at 100 m resolution. The TID indicates the type of source data that the corresponding grid cell in the bathymetric grid is based on, whilst the SID has a unique number for each of the source data sets included in the bathymetric grid. \r\n\r\nThe data are made available in Polar Stereographic projection co-ordinates (meters), EPSG:3996, true scale set at 75°N. The horizontal datum for the data set is WGS 84 and vertical datum can assumed to be Mean Sea Level (however, note there may be datum issues for older data, which can be to chart datum). Elevation values are in meters (floating point).",
            "keywords": "elevation, oceans",
            "publicationState": "published",
            "dataPublishedTime": "2026-06-10T10:08:00",
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            "dataLineage": "This dataset was generated by organisation with the \"originator centre\" role in this metadata record following their in-house data processing and quality control procedures. It represents version 5.1 of the International Bathymetric Chart of the Arctic Ocean (IBCAO) and has been generated by the originator on behalf of this project. The data set is in the form of a grid that has been generated from a number of sources and using different data collection techniques. Information concerning the source data sets included in the grid is given in the documentation that accompanies the data set. After generation, the grid was then provided to the British Oceanographic Data Centre (BODC) for delivery via the General Bathymetric Chart of the Oceans (GEBCO) web site (maintained at BODC).",
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        {
            "ob_id": 46061,
            "uuid": "5e879d08e0b34ea5aa5aac2b3fdf2c2f",
            "title": "ESA Sea State Climate Change Initiative (Sea_State_cci): Global remote sensing multi-mission along-track significant wave height (SWH) from SAR WV onboard Sentinel-1A & 1B, L2P product, release version 4.",
            "abstract": "The ESA Sea State Climate Change Initiative (CCI) project has produced global multi-sensor time-series of along-track satellite synthetic aperture radar (SAR) wave mode (WV) significant wave height (SWH) data (referred to as SAR WV onboard Sentinel-1 Level 2P (L2P) SWH data) with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Ifremer Sentinel-1 SAR Wave Mode Remote Sensing Significant Wave Height product, which is part of the ESA Sea State CCI Version 4.0 release. This is a temporal extension to the previous version 3 release. This product provides along-track SWH measurements at 20km resolution every 100km, processed using the Quach et al statistical model , separated per satellite and pass, including all measurements with flags, corrections and extra parameters from other sources. These are expert products with rich content and no data loss.  The SAR Wave Mode data used in the Sea State CCI dataset v3 come from Sentinel-1 satellite missions spanning from 2015 to 2025 (Sentinel-1 A, Sentinel-1 B).",
            "keywords": "CCI, Sea State, Significant Wave Height, SAR",
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            "dataPublishedTime": "2026-07-08T08:42:25",
            "doiPublishedTime": "2026-07-08T15:24:37",
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            "dataLineage": "Data was produced by the ESA Sea State CCI team at Ifremer and was transferred to CEDA as part of the ESA CCI Open Data Portal project.",
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                    "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_sea_state_terms_and_conditions.pdf",
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        {
            "ob_id": 46067,
            "uuid": "7e19d1be1cc5486294155ad23534ffa0",
            "title": "ESA Sea State Climate Change Initiative (Sea_State_cci): Global remote sensing multi-mission along-track Integrated Sea State Parameters (ISSP) from SAR WV onboard Sentinel-1A & 1B, L2P product, release version 4",
            "abstract": "The ESA Sea State Climate Change Initiative (CCI) project has produced global multi-sensor time-series of along-track satellite synthetic aperture radar (SAR) wave mode (WV) integrated sea state parameters (ISSP) data from Sentinel-1 (referred to as SAR WV onboard Sentinel-1 Level 2P (L2P) ISSP data) with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Sentinel-1 SAR Wave Mode Remote Sensing Integrated Sea State Parameter product, which forms part of the ESA Sea State CCI version 4.0 release. This is a temporal extension to the previous version 3 release. This product provides along-track primary significant wave height measurements and secondary sea state parameters, calibrated with CMEMS (Copernicus Marine Service) model data and reference in situ measurements at 20km resolution every 100km, processed using the Pleskachevsky et. al., 2021 empirical model, separated per satellite and pass, including all measurements with flags and uncertainty estimates. These are expert products with rich content and no data loss. The SAR Wave Mode data used in the Sea State CCI SAR WV onboard Sentinel-1 Level 2P (L2P) ISSP v4 dataset come from the Sentinel-1 satellite missions spanning from 2014 to 2024 (Sentinel-1 A, Sentinel-1 B).",
            "keywords": "CCI, Sea State, Integrated Sea State Parameters, ISSP, SAR",
            "publicationState": "citable",
            "dataPublishedTime": "2026-07-08T15:02:52",
            "doiPublishedTime": "2026-07-08T15:25:56",
            "updateFrequency": "notPlanned",
            "status": "completed",
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        {
            "ob_id": 46081,
            "uuid": "4507b91bf5094c82b43f2f546cc224e0",
            "title": "HadUK-Grid Gridded Climate Observations: latest provisional data",
            "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The datasets cover the UK at 1 km x 1 km resolution. Those 1 km x 1 km data have been used to provide a range of other resolutions and across countries, administrative regions and river basins to allow for comparison to data from UKCP18 climate projections, released annually as verified versions via the CEDA data archive.\r\n\r\nBetween releases the Met Office make available provisional data, covered by this catalogue entry, for which recent months are available to download via the HadObs website. The latest data will be added shortly after the end of each month.\r\n\r\nThese provisional data can be used to extend the data series available in the latest release on CEDA.\r\n\r\nThe provisional data are produced for routine monitoring activities at the Met Office. These provisional versions therefore will be subject to amendment or revision before they become part of a fully citeable version of the dataset available from CEDA.\r\n\r\nThe provisional grids are generated from station observations available in near-real time. Although basic checks to eliminate any obviously suspect values will have been applied, the observations will not have been through the full quality control process. The provisional grids will also be based on fewer stations than the annual releases as not all stations report in near-real time. This is most significant for rainfall for which a large proportion of the observations are received in slower time.\r\n\r\nThe provisional data files are only provided for a subset of the full HadUK-Grid dataset. The provisional gridded data produced are:\r\n\r\nDaily: max and min temperatures (tasmax, tasmin) and rainfall\r\nMonthly: average, min and max air temperatures (tas, tasmax, tasmin), rainfall, sunshine, ground frost and surface wind\r\n\r\nFour variables are not included because the files are not generated in near-real time - these are relative humidity, mean sea level pressure, vapour pressure and days of snow lying. Seasonal and annual grids and area averages are also excluded. National and regional averages can be found on the Met Office website (see online link on this record).\r\n\r\nTo reduce storage requirements and download times we have applied additional file compression to the provisional datasets compared to the annual release. This will have the effect of a small reduction in the precision of the data.\r\n\r\nNote that the Met Office provisional HadUK-Grid content is not an operational service and the page will be maintained on a best endeavours basis. Data files will be removed from there once superseded by the next annual release via the CEDA archive.\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence.",
            "keywords": "Met Office, UKCP18, BEIS, Defra, land surface, climate observations, hadobs",
            "publicationState": "published",
            "dataPublishedTime": "2026-06-29T11:12:44",
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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93879/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93880/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93881/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93882/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93883/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93884/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93885/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93886/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93887/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93888/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93889/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93890/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93891/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93892/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93893/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93894/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93895/?format=api"
            ],
            "dataLineage": "The provisional data are provided by the UK Met Office to complement the annual release data in the Centre for Environmental Data Analysis (CEDA) archives. Once the annual release is made, provisional data covered by the annual release are removed.",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [],
            "projects": [
                "https://catalogue.ceda.ac.uk/api/v2/projects/13164/?format=api"
            ],
            "observationcollection_set": [
                "https://catalogue.ceda.ac.uk/api/v2/observationcollections/26862/?format=api"
            ],
            "responsiblepartyinfo_set": [
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220155/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220154/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220158/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220150/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220151/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220153/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220156/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220149/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220157/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220159/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220160/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220161/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220162/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220163/?format=api"
            ],
            "procedureAcquisition": null,
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            "procedureComputation": "https://catalogue.ceda.ac.uk/api/v2/computations/26870/?format=api",
            "permissions": [],
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        },
        {
            "ob_id": 46083,
            "uuid": "6415e9e095e249ab9509f9c7878d1f11",
            "title": "Antarctic Ice Sheet Surface Elevation Change (SEC) for the ESA Antarctic CCI+ Phase-2 project ",
            "abstract": "Gridded Antarctic Ice Sheet Surface Elevation Change (SEC) products derived from cross-calibrated radar and laser satellite altimetry missions since 1991. Products are processed by the Centre for Polar Observation and Modelling (CPOM) as part of the Antarctic CCI+ Phase-2 project for the European Space Agency (ESA). The dataset includes multi-mission 5-year rates of surface elevation change (dH/dt), cumulative annual dH grids, single radar altimetry mission SEC products (ERS-1, ERS-2, ENVISAT, CryoSat-2, Sentinel-3A, Sentinel-3B), and an ICESat-2 laser altimetry SEC product. All gridded products are provided on a 5 km south polar stereographic grid (EPSG:3031).",
            "keywords": "Antarctica,Altimetry,Surface Elevation Change,CryoSat-2,ICESat-2,Sentinel-3,ERS,ENVISAT,SEC,ESA CCI",
            "publicationState": "preview",
            "dataPublishedTime": null,
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            "updateFrequency": "notPlanned",
            "status": "pending",
            "result_field": null,
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/13248/?format=api",
            "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/5172/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [],
            "dataLineage": "Surface elevation change products are derived from radar altimetry data acquired by ERS-1 (1991–1996), ERS-2 (1995–2003), ENVISAT (2002–2012), CryoSat-2 (2010–present), Sentinel-3A (2016–present), and Sentinel-3B (2018–present), and from laser altimetry data acquired by ICESat-2 (2018–present). Cross-calibration of radar altimetry missions was performed to produce consistent multi-mission records. Processing was carried out by CPOM. Products are provided on a 5 km south polar stereographic grid (EPSG:3031). Single-mission SEC products represent the full operational period of each mission. Multi-mission products combine all available radar altimetry missions.",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [],
            "projects": [
                "https://catalogue.ceda.ac.uk/api/v2/projects/46084/?format=api"
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                "https://catalogue.ceda.ac.uk/api/v2/rpis/220164/?format=api",
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                "https://catalogue.ceda.ac.uk/api/v2/rpis/220166/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220167/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220168/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220169/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220170/?format=api"
            ],
            "procedureAcquisition": "https://catalogue.ceda.ac.uk/api/v2/acquisitions/46085/?format=api",
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        },
        {
            "ob_id": 46092,
            "uuid": "d61136bca15d4e3f8547c4b539fb5656",
            "title": "JULES-Peat model outputs simulating the formation and development of the Cuvette Centrale peatlands, Congo Basin (20,000 BP to 60 BP / 18,000 BCE to 1940 CE)",
            "abstract": "This dataset contains model outputs which simulate the formation and development of the Central Congo Basin peatlands. The model used was JULES-Peat, a new version of the Joint UK Land Environment Simulator (JULES), the land surface component of the UK Earth System Model.\r\n\r\nTen simulations were run under conditions representing those in the Central Congo Basin peatlands over the past 20,000 years, introducing new changes to the model in each new simulation. Details of the ten model runs, files used, and code changes can be found in the document Congo_Peat_JULES_runs_details. The files used to run JULES can be found in the Run_JULES_u-an231 directory.\r\n\r\nThe temporal range of the data is reported in years before present (BP), where present is the year 2000 CE. 20,000 BP to 60 BP is equivalent to 18,000 BCE to 1940 CE.\r\n\r\nThis dataset has one related publication: \"Improving the representation of tropical peatland processes in the JULES land surface model using data from the Central Congo Basin\", Cook et al. 2026 (linked in the documentation section).\r\n\r\nThis dataset was produced as part of 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). The modelling study was carried out by Peter Anthony Cook at the Global Systems Institute, University of Exeter, Exeter, UK.",
            "keywords": "CongoPeat, Tropical Peatlands, Carbon Store, JULES-Peat Model, Paleo Climate Simulations, Vulnerability of Peatlands, Central Congo Basin, NE/R016860/1",
            "publicationState": "published",
            "dataPublishedTime": "2026-08-20T12:55:24",
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "completed",
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                "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/46149/?format=api",
                "dataPath": "/badc/congopeat/data/Congo_Peat_JULES_Runs",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 29143537667,
                "numberOfFiles": 186,
                "fileFormat": "NetCDF"
            },
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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93739/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93740/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93741/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93742/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93744/?format=api",
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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/94080/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/94081/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/94082/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/94083/?format=api",
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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/94087/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/94088/?format=api"
            ],
            "dataLineage": "Data were generated using JULES-Peat, a new version of the Joint UK Land Environment Simulator (JULES), the land surface component of the UK Earth System Model, to simulate the formation and development of the peatlands.",
            "removedDataTime": null,
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            "language": "English",
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                "https://catalogue.ceda.ac.uk/api/v2/rpis/220188/?format=api",
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                "https://catalogue.ceda.ac.uk/api/v2/rpis/220183/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220184/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220185/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220186/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220187/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220560/?format=api"
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                    "useLimitation": null,
                    "accessConstraints": null,
                    "accessCategory": "public",
                    "accessRoles": null,
                    "label": "public: None group",
                    "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/",
                    "licenceClassifications": "any, attribution required"
                }
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        },
        {
            "ob_id": 46098,
            "uuid": "8cd69bd991a942a3828bd7b24d039ad7",
            "title": "EOCIS: Daily land surface temperature from Landsat 8/9, level 2 merged (L2) UK product, version 1.00",
            "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from the Thermal Infrared Sensor (TIRS) on Landsat 8/9. 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\nDaytime temperature estimates are provided at approximately 10:30 local solar time. Temperatures are reported in Kelvin and represent the skin temperature of the Earth's surface.\r\n\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using the (UoL) LST retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the UK Earth Observation Climate Information Service (EOCIS) and is based on development funded under ESA CCI with additional funding from NCEO.  The EOCIS dataset includes and continues the CCI v4 CDR (currently under development).",
            "keywords": "land surface temperature, EOCIS, Landsat",
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            "uuid": "4c7e812010a441e8afe5f91cfc4e8b7d",
            "title": "Secondary Organic Aerosol Prediction in Realistic Atmospheres (SOAPRA) laboratory data set (2024)",
            "abstract": "Funded by the UK's Natural Environment Research Council (NERC) under grant NE/V012665/1, the Secondary Organic Aerosol Prediction in Realistic Atmospheres (SOAPRA) project aimed to advance the predictive capability for secondary organic aerosol in the atmosphere.\r\n\r\nA key component of the work was development of a method to constrain the rate coefficients of gas-phase reaction rates relevant to secondary organic aerosol, as published in https://doi.org/10.5194/ar-3-417-2025. The method and it's associated software were called autoCONSTRAINT, and its dataset is contained in this record.\r\n\r\nAs part of this paper, the PyCHAM (CHemistry with Aerosol Microphysics in Python) computational model was used, with the relevant outputs contained in PyCHAM_simulation_outputs_for_autoCONSTRAINT_comparison.nc. Specifically, identifiers and concentrations of individual components output from PyCHAM are provided.\r\n\r\nThe outputs from autoCONSTRAINT, relevant to this paper, are contained in autoCONSTRAINT_outputs.nc. Specifically, chemical reactions, rate coefficients and radical names are provided.\r\n\r\nConcentrations, rate coefficients, chemical reactions and component names have been recorded, in the form of netcdf files, with separate variables for each of these recordings. Results are for simulated laboratory experiments in aerosol chambers, with simulated experiments typically last for approximately 7 hours. The description of the PyCHAM and autoCONSTRAINT methods are provided in https://doi.org/10.5194/ar-3-417-2025. This work was carried out because previously a repeatable and standardisable method for quantifying rate coefficients from aerosol chamber experiments was unavailable. The work was primarily completed by Lukas Pichelstorfer, with support from Simon O'Meara, and the principal investigator was Gordon McFiggans. All data relevant to the project's 2025 paper (https://doi.org/10.5194/ar-3-417-2025) are provided.",
            "keywords": "Secondary organic aerosol, Computational simulation, Chemical kinetics, Organic chemistry, Photochemistry, Atmospheric Science, Atmospheric Chemistry",
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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/93902/?format=api"
            ],
            "dataLineage": "The data was created by the authors during the stated temporal range using the tools described in the Description section of this record. Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).",
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        {
            "ob_id": 46107,
            "uuid": "77f24586752943b99719c66075a434fe",
            "title": "Monthly climatologies of marine iodide and iodate generated using the I-CYCLE model",
            "abstract": "Ocean iodide and iodate concentration fields for present day (2000-2019), historical (1880-1899) and future (2080-2099 under SSP585 scenario) generated using the I-CYCLE global ocean model of iodine cycling. Data is a monthly climatology for these three periods. It is on tri-polar grid.",
            "keywords": "ocean,iodine",
            "publicationState": "working",
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                "https://catalogue.ceda.ac.uk/api/v2/rpis/220243/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220244/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220245/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220246/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220247/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220248/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220249/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220250/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220251/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220252/?format=api"
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        {
            "ob_id": 46118,
            "uuid": "eae8d3c9c5d64d4f901c5221dad18a86",
            "title": "ESA River Discharge Climate Change Initiative (RD_cci):  Nadir radar altimeters Water Level product, v2.1",
            "abstract": "This dataset contains water level (WL) data from the ESA Climate Change Initiative River Discharge project (RD_cci).   Water level in this context corresponds to the distance between river surface water and a reference surface (the WGS84 ellipsoid). This physical variable might also be referred to as Water Surface Elevation (WSE) in other dataset or publications.\r\n\r\nThis version of the dataset is v2.1\r\n\r\nThese river water level time series have been computed in at 54 locations (within 18 river basins). The data has been derived from nadir viewing satellite radar altimeter missions (ERS-2, Envisat, Saral, Topex-Poseidon, Jason-1, Jason-2, Jason-3, Sentinel-3A/B and Sentinel 6A). At each location, time series are provided for each available single nadir radar altimetry mission. Based on these single mission time series, merged multi-missions WL time series (with two different methodologies for some basins) have also been produced.",
            "keywords": "CCI, Water Level, River Discharge",
            "publicationState": "preview",
            "dataPublishedTime": null,
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            "updateFrequency": "notPlanned",
            "status": "pending",
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            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/11558/?format=api",
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            "title": "University of Leicester GOSAT Proxy XCH4 v10.0",
            "abstract": "The University of Leicester GOSAT Proxy XCH4 v10.0 data set contains column-averaged dry-air mole fraction of methane (XCH4) generated from the Greenhouse Gas Observing Satellite (GOSAT) Level 1B data using the University of Leicester Full-Physics retrieval scheme (UoL-FP) using the Proxy retrieval approach.\r\n\r\nThis data is an NCEO funded update/extension to the European Space Agency Climate Change Initiative (CCI) CH4_GOS_OCPR V7.0. and the Copernicus Climate Change Service (C3S)  CH_4 v7.2 data sets. It's a full reprocessing, based on different underlying L1B radiance data with additional changes.  GOSAT Level 1B files (version 220/221) were acquired directly from the National Institute for Environmental Studies (NIES) GOSAT Data Archive Service (GDAS) Data Server and are processed with the Leicester Retrieval Preparation Toolset to extract the measured radiances along with all required sounding-specific ancillary information such as the measurement time, location and geometry.  The spectral data were then inputted into the UoL-FP retrieval algorithm where the Proxy retrieval approach is used to obtain the column-averaged dry-air mole fraction of methane (XCH4). Post-filtering and bias correction against the Total Carbon Column Observing Network is then performed. See process information and documentation for further details.",
            "keywords": "GOSAT, CH4, Methane",
            "publicationState": "citable",
            "dataPublishedTime": "2026-08-10T15:07:47",
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            "uuid": "8209b9acb92e4ba69188c9c8ff7a3b76",
            "title": "University of Leicester GOSAT-2 Proxy XCH4, v2.0",
            "abstract": "The University of Leicester GOSAT-2 Proxy XCH4, v2.0 data set contains column-averaged dry-air mole fraction of methane (XCH4) generated from the Greenhouse Gas Observing Satellite (GOSAT-2) Level 1B data using the University of Leicester Full-Physics retrieval scheme (UoL-FP) using the Proxy retrieval approach.\r\n\r\nThis data is the University of Leicester GOSAT-2 Proxy XCH4 v2.0 dataset. This dataset is consistent with the GOSAT dataset (https://catalogue.ceda.ac.uk/uuid/94d6572a308e477c86e0ce7c4d771311/) The latest version of the GOSAT-2 Level 1B files were processed with the Leicester Retrieval Preparation Toolset to extract the measured radiances along with all required sounding-specific ancillary information such as the measurement time, location and geometry. The data were processed through the UoL-FP retrieval algorithm where the Proxy retrieval approach is used to obtain the column-averaged dry-air mole fraction of methane (XCH4). \r\n\r\nWe bias-correct this data to be consistent with the GOSAT dataset and evaluate it’s performance against the the Total Carbon Column Observing Network via the same methodology as used for the GOSAT data. See process information and documentation for further details.",
            "keywords": "GOSAT-2, CH4, Methane, EOCIS",
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            "dataPublishedTime": "2026-08-10T15:04:45",
            "doiPublishedTime": "2026-08-26T14:19:27.110628",
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                "dataPath": "/neodc/gosat/data/ch4/UoL_gosat2_v2/CH4_GOSAT2_OCPR/v2.0/",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 5189138505,
                "numberOfFiles": 2383,
                "fileFormat": "Data are in NetCDF format"
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            ],
            "dataLineage": "Data were produced by the University of Leicester project team and delivered to Centre for Environmental Data Analysis (CEDA) for archival and publication.  The data was produced under the National Centre for Earth Observation (NCEO).",
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        {
            "ob_id": 46125,
            "uuid": "388f913cf6994f67a5ca91a195be22de",
            "title": "GMCP: A Global Multisource Merging-and-Calibration Precipitation Dataset",
            "abstract": "Highly accurate global gridded precipitation datasets for precipitation occurrences and volumes are essential for understanding the water, energy, and carbon cycles on Earth in the context of a changing climate. This study aimed to introduce a new fully global multisource merged precipitation dataset with high quality and resolutions of 1-hourly and 0.1° from 2000 to the present. This dataset integrated the advantages of ground gauge-, satellite-, and model-based precipitation estimates, particularly regarding precipitation occurrence, which can benefit scientific research communities and societal applications worldwide, including hydrological, climatological, meteorological, and water resource management.",
            "keywords": "precipitation,global rainfall,high resolution,satellite remote sensing",
            "publicationState": "preview",
            "dataPublishedTime": null,
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            "updateFrequency": "notPlanned",
            "status": "pending",
            "result_field": null,
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/13273/?format=api",
            "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/5177/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [],
            "dataLineage": "The Global Multisource Merged and Calibration Precipitation (GMCP) dataset was generated by integrating gauge-, satellite-, and reanalysis/model-based precipitation estimates through a merging-and-calibration framework. The primary input datasets include ERA5-Land, GSMaP-MVK, and GPM IMERG-Late, which provide complementary information on precipitation occurrence and intensity. The framework combines these datasets to exploit their respective strengths while mitigating individual limitations, with a particular emphasis on improving precipitation occurrence detection. Calibration and quality-control procedures were applied during the merging process to produce a consistent global precipitation product at 0.1° spatial resolution and 1-hourly temporal resolution. The resulting dataset covers the global land surface from 2000 to the present and was generated using standardized processing workflows before being archived at the data centre.",
            "removedDataTime": null,
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            "language": "English",
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                "https://catalogue.ceda.ac.uk/api/v2/rpis/220319/?format=api",
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                "https://catalogue.ceda.ac.uk/api/v2/rpis/220321/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220322/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220323/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220324/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220325/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220326/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220327/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220328/?format=api"
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        {
            "ob_id": 46127,
            "uuid": "9b9f50a366a64f2099bcbe163054b24b",
            "title": "DigiBog_Congo outputs for the impact of climate and land use",
            "abstract": "This dataset contains the DigiBog_Congo outputs for the simulations in \"Land-use change causes rapid carbon losses in Congo Basin peatlands across climate scenarios, whereas the effects of climate change alone are uncertain\" (https://doi.org/10.1098/rtsb.2024.0486) The model code can also be found at https://doi.org/10.5281/zenodo.15319266.\r\n\r\nThis dataset was produced as part of 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": "Peat,Swamp forest,Simulation,Congo Basin",
            "publicationState": "preview",
            "dataPublishedTime": null,
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "pending",
            "result_field": null,
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/13280/?format=api",
            "geographicExtent": null,
            "nonGeographicFlag": true,
            "phenomena": [],
            "dataLineage": "These data are the result of simulations using the DigiBog peatland development model. The simulations were developed and parameterised for the CongoPeat project  NERC large grant (NE/R016860/1).",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [],
            "projects": [
                "https://catalogue.ceda.ac.uk/api/v2/projects/46093/?format=api"
            ],
            "observationcollection_set": [],
            "responsiblepartyinfo_set": [
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220338/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220339/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220340/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220341/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220342/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220343/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220344/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220345/?format=api"
            ],
            "procedureAcquisition": null,
            "procedureCompositeProcess": null,
            "procedureComputation": "https://catalogue.ceda.ac.uk/api/v2/computations/46128/?format=api",
            "permissions": [],
            "discoveryKeywords": []
        },
        {
            "ob_id": 46129,
            "uuid": "92f8cee08d884d27a99397ae8a299f73",
            "title": "Climate model simulations of decadal-scale South Pacific Convergence Zone (SPCZ) rainfall using the Intermediate General Circulation Model version 4 (IGCM4)",
            "abstract": "This dataset contains outputs from modelling experiments using the Intermediate Global Circulation Model version 4 (IGCM4). The experiments use plausible scenarios of climate variability to simulate the processes driving South Pacific Convergence Zone (SPCZ) rainfall, and the decadal-scale SPCZ changes likely under different past and future modes of climate variability.\r\n\r\nDirectory names refer to the different experiments, in which perturbations were added onto sea surface temperatures corresponding to the: Atlantic Multidecadal Variability (A); Interdecadal Pacific Oscillation (I); and Southern Ocean (S). The numbers preceding each letter encode the size of the perturbation (see Skinner et al. for full details). For example, the directory 0A0I0S contains variables from the pre-industrial control experiment onto which no perturbations were added, while the directory 0A-3I0S contains variables from the experiment in which a three standard deviation magnitude negative IPO event was added onto the prescribed sea surface temperatures.\r\n\r\nEach experiment's directory contains the following daily data in netCDF format:\r\n- clouds.nc - Low, mid and high levels clouds\r\n- olr.nc - Outgoing longwave radiation\r\n- ppt.nc - Precipitation\r\n- tsfc.nc - Surface temperature\r\n- zg_500.nc - Geopotential height at 500 hPa\r\n- ta_250.nc - Air temperature at 250 hPa\r\n- ta_850.nc - Air temperature at 850 hPa\r\n- uwnd_250.nc - Zonal wind velocity at 250 hPa\r\n- uwnd_850.nc - Zonal wind velocity at 850 hPa\r\n- vwnd_250.nc - Meridional wind velocity at 250 hPa\r\n- vwnd_850.nc - Meridional wind velocity at 850 hPa\r\n\r\nThis dataset has two related publications:\r\n- Peaple et al. \"Ocean variability drives a millennial-scale shift in South Pacific hydroclimate.\" Communications Earth & Environment 6.1 (2025): 679. DOI: https://doi.org/10.1038/s43247-025-02676-5 (linked in the documentation section below)\r\n- Skinner et al. \"Decadal-scale drivers of South Pacific hydroclimate variability.\" Quarterly Journal of the Royal Meteorological Society. (2026 - UNDER REVIEW)\r\n\r\nThis dataset was produced as part of the Natural Environment Research Council (NERC) project Pacific Rainfall over Millennial Scales (PROMS) (grant reference: NE/W005565/1).",
            "keywords": "",
            "publicationState": "preview",
            "dataPublishedTime": null,
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            "status": "ongoing",
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                "dataPath": "/badc/deposited2026/PROMS_IGCMmodel_output",
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                "storageLocation": "internal",
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                "volume": 122700535865,
                "numberOfFiles": 112,
                "fileFormat": "NetCDF"
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            "dataLineage": "Data were generated using the Intermediate General Circulation Model version 4 (IGCM4), data were saved in netCDF format and then submitted to CEDA for archiving.",
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        {
            "ob_id": 46132,
            "uuid": "187d44d4dafd4d53917794643765765f",
            "title": "MIDAS Open: UK soil temperature data, v202607",
            "abstract": "The UK soil temperature data contain daily and hourly values of soil temperatures at depths of 5, 10, 20, 30, 50, and 100 centimetres. The measurements were recorded by observation stations operated by the Met Office across the UK and transmitted within NCM or DLY3208 messages. The data spans from 1900 to 2025.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2025.\r\n\r\nAt many stations temperatures below the surface are measured at various depths. The depths used today are 5, 10, 20, 30 and 100cm, although measurements are not necessarily made at all these depths at a station and exceptionally measurements may be made at other depths. When imperial units were in general use, typically before 1961, the normal depths of measurement were 4, 8, 12, 24 and 48 inches.\r\n\r\nLiquid-in-glass soil thermometers at a depth of 20 cm or less are unsheathed and have a bend in the stem between the bulb and the lowest graduation. At greater depths the thermometer is suspended in a steel tube and has its bulb encased in wax.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record.",
            "keywords": "Met Office, MIDAS, UK, meteorology, soil temperatures",
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            "dataPublishedTime": "2026-07-23T11:46:04",
            "doiPublishedTime": "2026-07-23T14:18:00.056373",
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            "title": "MIDAS Open: UK daily weather observation data, v202607",
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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/76680/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/76690/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/76694/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/76695/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/76696/?format=api",
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            "dataLineage": "Data collated by the Met Office and archived in the Met Office's MIDAS database. Data are extracted from a sub-set of available tables and delivered to Centre for Environmental Data Analysis (CEDA) approximately on a yearly basis.",
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        {
            "ob_id": 46139,
            "uuid": "88b5bdf6131e4c1cb7acb8bde984deda",
            "title": "MIDAS Open: UK daily rainfall data, v202607",
            "abstract": "The UK daily rainfall data contain rainfall accumulation and precipitation amounts over a 24 hour period. The data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: NCM, AWSDLY, DLY3208 and SSER. The data spans from 1853 to 2025. Over time a range of rain gauges have been used - see section 5.6 and the relevant message type information in the linked MIDAS User Guide for further details.\r\n\r\nThis version supersedes the previous version (202507) of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2025.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. A large proportion of the UK raingauge observing network (associated with WAHRAIN, WADRAIN and WAMRAIN for hourly, daily and monthly rainfall measurements respectively) is operated by other agencies beyond the Met Office, and are consequently currently excluded from the Midas-open dataset. Currently this represents approximately 13% of available daily rainfall observations within the full MIDAS collection.",
            "keywords": "Met Office, MIDAS, UK, meteorology, rainfall, diurnal, daily, monthly",
            "publicationState": "citable",
            "dataPublishedTime": "2026-07-23T13:19:06",
            "doiPublishedTime": "2026-07-23T14:17:17.539094",
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                "https://catalogue.ceda.ac.uk/api/v2/rpis/220422/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220423/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220425/?format=api"
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        {
            "ob_id": 46151,
            "uuid": "43238f63ed684fe489b7763200cb584d",
            "title": "Bias-corrected 1 km hourly UKCP18 Local precipitation and air temperature, Great Britain, 1980-2080",
            "abstract": "Bias-corrected hourly precipitation and mean air temperature derived from the 5km British National Grid version of the UK Climate Projections 2018 Local simulations under Representative Concentration Pathway 8.5 (RCP8.5). The source simulations were originally run at 2.2km resolution. The dataset includes all 16 ensemble members.\r\nThe data cover Great Britain at 1km resolution on the British National Grid and are limited to grid cells where the model and relevant observational reference data overlap. Temporal coverage is December 1980 to November 2080 at hourly resolution. The cumulative distribution function transform (CDFt) method was trained over December 1990 to November 2010 using CEH-GEAR1hr v2 for precipitation and HadUK-Grid version 1.3.1 for temperature. Data are supplied as monthly NetCDF-4 files. The dataset is intended for hydroclimatic impact assessments and related climate-risk studies.",
            "keywords": "bias correction,UKCP18 Local,convection-permitting model,hourly precipitation,air temperature,climate projections,RCP8.5,Great Britain,CDFt",
            "publicationState": "preview",
            "dataPublishedTime": null,
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "pending",
            "result_field": null,
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/13291/?format=api",
            "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/5185/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [],
            "dataLineage": "The source data are the UKCP18 Local (2.2 km) projections produced by the Met Office Hadley Centre under RCP8.5 and regridded by the Met Office to a 5 km British National Grid. The 5 km fields were remapped to the 1 km grids of the reference datasets: CEH-GEAR1hr (hourly precipitation; Newcastle University and UKCEH) and HadUK-Grid v1.3.1 (air temperature; Met Office; hourly values derived from daily maximum and minimum temperature). Four bias correction methods (quantile mapping, ISIMIP3BASD, scaled distribution mapping, CDFt) were screened using ensemble member 01 over two 10 x 10 grid-cell blocks in the Scottish Highlands and East Anglia. CDFt performed most consistently and was applied to hourly precipitation and temperature for all 16 members over the full domain, trained over December 1990 to November 2010. Processing used the ibicus Python package on the JASMIN facility. Full details are given in Zha, He and Lowe (Journal of Hydrology, submitted).",
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            "language": "English",
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            "projects": [
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            "responsiblepartyinfo_set": [
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                "https://catalogue.ceda.ac.uk/api/v2/rpis/220428/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220429/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220430/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220431/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220432/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220433/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220434/?format=api"
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        {
            "ob_id": 46158,
            "uuid": "57640822f34e43908acbe97d6bbc4c33",
            "title": "High speed camera images for tracking microplastic fibre transport in a boundary layer wind tunnel (2024)",
            "abstract": "The following files contain images extracted from recorded videos of particle tracking velocimetry in wind tunnel experiments examining the interaction between sand and airflow. These experiments are part of the NERC funded project 'Microplastic Entrainment, Transport and Fragmentation, in Atmospheric Boundary-layer Flows'. \r\n\r\nThe directory contains files with .tif images corresponding to the experiments with sand particles, under air velocities of 6  and 10 metres per second. The videos were recorded with a Dimax HD high speed camera and lasted 4.1 seconds.  Frames were captured with a 200 micro seconds exposure rate of 1550 per second, through a Nikon Micro Nikkor 200 mm F4 objective lens in 12 bit grayscale with a pixel resolution of 1920 by 1080.  The rectangular viewing area of each image spanned a physical distance of 62 mm in width, parallel to the mean wind flow, and 35 mm in height. The experiments were run from Jun 24 to July 5th, 2024, in the Trent Environmental Wind Tunnel (TEWT) Facilities, at Trent University, Ontario, Canada.\r\n\r\nThis dataset was generated as part of NERC grant: NE/X00015X/1:Microplastic entrainment, transport and fragmentation in atmospheric boundary-layer flows\r\n\r\n\r\nThe folder names correspond to the following structure: Test number _ test repetition (R1, R2, R3) _ experimental tunnel air velocity _ particle release distance from the camera (Upwind_Fibre_Position_ …). \r\n\r\nThe image names within each folder correspond to the following structure: Test number _ particle release distance from the camera (L0cm, L25cm, L60cm, L110cm, L200cm) _ test repetition (R1, R2, R3) _ consecutive image number (0001, …, 6155).",
            "keywords": "Wind tunnel,Particle tracking velocimetry,Sand",
            "publicationState": "preview",
            "dataPublishedTime": null,
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "pending",
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            "removedDataTime": null,
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            "language": "English",
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            "projects": [
                "https://catalogue.ceda.ac.uk/api/v2/projects/43609/?format=api"
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                "https://catalogue.ceda.ac.uk/api/v2/rpis/220472/?format=api"
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        {
            "ob_id": 46160,
            "uuid": "2de684c1211e4d89a5deba150eeb3689",
            "title": "Model output data to support Evaluation of a simplified double-moment aerosol scheme (SOL/INSOL) using satellite, airborne and ground based observations over the UK.",
            "abstract": "This dataset contains the [expand the acronym here]UM-RAL3.3 model output needed to reproduce figures and tables in \"Evaluation of a simplified double-moment aerosol scheme (SOL/INSOL) using satellite, airborne and ground based observations over the UK\" by Angela Mynard, Anthony C Jones, Joseph Carton-Kelly, Paul Field, Steven J Able and Florent Fabien Malavelle, submitted to Geoscientific Model Development, July 2026. This data supports reproduction of the model aspect of the figures and tables only. See paper for observational data sources.\r\n\r\nThe data consist of the main case study, sensitivity experiments and forecast lead time experiments.",
            "keywords": "",
            "publicationState": "citable",
            "dataPublishedTime": "2026-07-30T11:28:53",
            "doiPublishedTime": "2026-07-30T11:29:12.939151",
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            "status": "ongoing",
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                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 94081745,
                "numberOfFiles": 14,
                "fileFormat": "NetCDF"
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                "https://catalogue.ceda.ac.uk/api/v2/phenomona/103070/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/103071/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/103072/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/103073/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/103074/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/103075/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/103076/?format=api"
            ],
            "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).",
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                "https://catalogue.ceda.ac.uk/api/v2/identifiers/13946/?format=api"
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                "https://catalogue.ceda.ac.uk/api/v2/rpis/220479/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220480/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220481/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220482/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220483/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220484/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220485/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220486/?format=api"
            ],
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        {
            "ob_id": 46171,
            "uuid": "eb6fd71dbfce413c94d68821df341e0d",
            "title": "Hydroacoustic monitoring of bedload and suspended sediment sampling of the West Rapti river, Nepal",
            "abstract": "This dataset contains amplitude and frequency metrics calculated from 30s hydrophone recordings in the West Rapti river in the monsoon season of 2024, alongside water level data supplied by the department of Hydrology and Meteorology. Recordings are made at various amplification gains, which are specified within datasets. There are also suspended sediment concentration data, which was measured daily during the 2024 monsoon.",
            "keywords": "Hydrophone,Spectral Centroid,RMS Amplitude,Suspended sediment concentration",
            "publicationState": "preview",
            "dataPublishedTime": null,
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "pending",
            "result_field": null,
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/13305/?format=api",
            "geographicExtent": null,
            "nonGeographicFlag": true,
            "phenomena": [],
            "dataLineage": "Hydrophones recorded 30s wav files every 15-20 minutes at various gain amplifications, specified in dataset files. Sample rate is 48 kHz. Data was processed in Python using scikit-maad to calculate RMS amplitude and spectral centroid of the recordings. Suspended sediment was measured manually by filtering techniques at 12:00 each day.",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [],
            "projects": [
                "https://catalogue.ceda.ac.uk/api/v2/projects/46172/?format=api"
            ],
            "observationcollection_set": [],
            "responsiblepartyinfo_set": [
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220506/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220507/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220508/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220509/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220510/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220511/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220512/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220513/?format=api"
            ],
            "procedureAcquisition": "https://catalogue.ceda.ac.uk/api/v2/acquisitions/46173/?format=api",
            "procedureCompositeProcess": null,
            "procedureComputation": null,
            "permissions": [],
            "discoveryKeywords": []
        },
        {
            "ob_id": 46178,
            "uuid": "cf49a96f67374c69b23702e0cc4c7c0d",
            "title": "ESA Lakes Climate Change Initiative (Lakes_cci): harmonised gap-filled LSWT-LIC, Version 3.0",
            "abstract": "This dataset contains the harmonised, gap-filled version of European Space Agency (ESA) Lakes Climate Change Initiative (Lakes_cci) version 3.0 dataset for two of the Lakes Essential Climate Variable (ECV) Products: Lake Surface Water temperature (LSWT) and Lake Ice Cover (LIC).\r\nThe dataset covers the period 2000–2023 and includes more than 2,000 inland water bodies and \r\nBecause the gap-filled LSWT and LIC products are harmonised, they are fully consistent. Therefore, no water temperature is reported for grid cells classified as ice-covered. \r\nThe list of lakes for which the products are available is provided as a CSV file in the catalogue. The lake mask for each lake is provided in every data file the corresponding data file.\r\nThis dataset was produced by the European Space Agency (ESA) Lakes Climate Change Initiative (Lakes_cci) project. For more information about the Lakes_cci please visit the project website.",
            "keywords": "ESA,CCI,Lakes,consistent ECV,gap-filling,temperature,ice",
            "publicationState": "working",
            "dataPublishedTime": null,
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "pending",
            "result_field": null,
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/13315/?format=api",
            "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/5188/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [],
            "dataLineage": "Data were produced by the LIC and LSWT ESA CCI (Lakes_cci) project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [],
            "projects": [
                "https://catalogue.ceda.ac.uk/api/v2/projects/46179/?format=api"
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            "responsiblepartyinfo_set": [
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220522/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220523/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220524/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220525/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220526/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220527/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220534/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220535/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220536/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220537/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220538/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220539/?format=api"
            ],
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        },
        {
            "ob_id": 46180,
            "uuid": "cb437b7efe664348b8aab3b6a86e035c",
            "title": "SPLICE project: Spectral information for oak and hazel, Alice Holt Forest, Hampshire, UK, July 2023",
            "abstract": "This dataset contains spectral information collected within the Alice Holt Forest. This work was conducted as part of a wider field campaign examining photosynthesis and forest structure across the Alice Holt site.\r\n\r\nData were collected between from 18th-20th July 2023. Measurements were taken from each leaf only during the day.\r\n\r\nFiles are provided following the naming convention H#_B#_C#_S.000X.sig. In this, T’ or ‘H’ shows the tree or understory (Hazel) measurement, and the platform, branch, and leaf-cluster are given (#). The final number denotes measurement, with 5 (X) measurements taken from each cluster, each from a different leaf in the middle avoiding the midvein and any damaged areas. Measurements were not taken for all branches or leaf-clusters, as some branches were taken down by wind between labelling and the measurement period.\r\n\r\nRaw data are provided in 128 .sig files. Raw data were processed in python using Specdal and FieldSpecUtils packages. First, regions of spectrometer overlap (1000 and 1800 nm) were averaged and spliced. Next, spectra were linearly interpolated to correspond to wavelengths of 1nm spacing. Then, the relative reflectance spectra were multiplied by the white reference panel’s known laboratory calibrated reflectance profile to yield absolute reflectance. The processed data are provided in Alice_Holt_Hyperspectral.csv.",
            "keywords": "SPLICE, Spectra, Trees, Oak, Hazel, Hampshire",
            "publicationState": "published",
            "dataPublishedTime": "2026-08-13T10:11:13",
            "doiPublishedTime": null,
            "updateFrequency": "",
            "status": "completed",
            "result_field": {
                "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/46181/?format=api",
                "dataPath": "/neodc/splice/data/SPLICE_Field_Data_Spectrometer",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 11028550,
                "numberOfFiles": 133,
                "fileFormat": "This dataset contains 128 .sig files and one .csv file, with a total size of 10 MB.\r\nFile Structure: The Alice_Holt_Hyperspectral.csv is organized by wavelength (nm), and sample (as given in the\r\nfilename"
            },
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/13314/?format=api",
            "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/5189/?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://catalogue.ceda.ac.uk/api/v2/projects/45716/?format=api"
            ],
            "observationcollection_set": [],
            "responsiblepartyinfo_set": [
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220541/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220542/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220543/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220544/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220545/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220546/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220551/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220552/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220553/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/220554/?format=api"
            ],
            "procedureAcquisition": null,
            "procedureCompositeProcess": "https://catalogue.ceda.ac.uk/api/v2/composites/46185/?format=api",
            "procedureComputation": null,
            "permissions": [
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            "title": "SPLICE: Drone flights, Alice Holt Forest, Hampshire, UK, July 2023",
            "abstract": "This dataset contains information from drone flights over the Alice Holt Forest. This work was conducted as part of a wider field campaign examining photosynthesis and forest structure across the Alice Holt site. Data were collected in the daytime on the 18th July 2023. Flights were conducted at two sites within the Alice Holt forest, the first at approximately 51.155396° N, –0.864384° W (‘Site One’), and the second at approximately 51.155453° N, –0.865355° W (‘Site Two’). The data have been processed to radiances using a python conversion tool.",
            "keywords": "Alice Holt, Forest, drone, Trees, Splice, biomass",
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                "volume": 217516685,
                "numberOfFiles": 437,
                "fileFormat": "The dataset is comprised of 434 files, that are a total of 305 MB. Files are in NetCDF, CSV and PDF formats. Files with .pico extension are JSON files wrapped in a custom extension.\r\n\r\nArchive structure: Data from both site locations are within the ‘Site_One_51_155396_-0_864384’ and ‘Site_Two_51_155453_-0_865355’ directories, with the flights for each given in subsequent directories, e.g., ‘First Flight_51_155373_-0_864409’. Data for each flight is then found in e.g.,\r\n‘splice_20230718_d2_s1_40a’. Calibration files and processing code are also included. For full details of the structure please see the documentation_drone_flights.pdf file archived with the data."
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            "title": "SPLICE: Terrestrial Laser Scanning (TLS) for UK Alice Holt plot AH2",
            "abstract": "Terrestrial laser scanning was collected on the 18th July 2023 by Mat Disney and Meg Stretton using a Riegl VZ-400i for the SPLICE project. Scans were acquired using chain sampling at 34 locations along a 12.5 m Cartesian grid to ensure sufficient data overlap to produce a high-quality point cloud of this forest plot. Capturing a complete sample of the scene at each location requires two scans (an upright scan and a tilt scan), owing to a 100° field of view. Upright scans will be odd-numbered while tilt scans will be even-numbered. The angular resolution between sequentially fired pulses is 0.04°, resulting in approximately 22.4 million emitted pulses per scan (i.e., 5.42 billion per ha). Up to four targets can be resolved per pulse, with a nominal ranging accuracy of 5 mm. The laser itself is characterized by a beam divergence of 0.35 mrad, and the diameter of the beam at emission is 7 mm (e.g., the diameter of the beam at a range of 50 m, would be 21 mm). The pulse repetition rate is 300 kHz, therefore, each scan takes approximately 3 minutes to complete. To generate a plot-level point cloud, scans were coarse registered using GNSS enabled Auto-Registration 2 (AR2) with coarse registraion fine-tuned using Multi Station Adjustment 2 (MSA2) The Sensor's Orientation and Position (SOP) matrix for all scans was saved into the \"matrix\" project directory and the GNSS coordinates (geographical coordinate system: WGS84 Cartesian) for all scans saved as a .kmz file.",
            "keywords": "Alice Holt, Forest, TLS, Trees, Splice, biomass",
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