GET

Observation Instance

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/44112/?format=api
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 44112,
    "uuid": "a2519624a593402a83246bd359d098be",
    "title": "GloSATref.1.0.0.0: An observational record of global gridded near surface air temperature change over land and ocean from 1781",
    "abstract": "The GloSAT reference analysis (GloSATref) is a global gridded data set of air temperature change since 1781. GloSATref combines temperature series from land based meteorological stations with marine air temperature observation from ships. The use of marine air temperature (MAT) data differs from the typical use of sea-surface temperature (SST) data in global near surface temperature data sets, with the use of all-day MAT allowing the data set to extended further into the past than records based on SST. \r\n  \r\n  Data are provided as air temperature anomalies relative to 1961-1990 average conditions on a 5-degree latitude by 5-degree longitude grid. Time series of average temperature changes and their uncertainties are available for the globe and for a selection of regions. The gridded data set is produced using methods developed for the HadCRUT5 ensemble global temperature data set. Data is provided as a 200-member ensemble spatially infilled “analysis” data set. A “noninfilled” version of the data set is also provided.\r\n\r\nGloSATref uses the HadCRUT5 data processing system to produce the gridded data set, time series and uncertainty estimates.\r\n\r\nSources of additional information:\r\nThe following papers are provided in the related documents section with further information about GloSATref.1.0.0.0 and its underpinning data.\r\n\r\n  Gridded dataset description:\r\n  Morice, C. P., et al. (2025). An observational record of global gridded near surface air temperature change over land and ocean from 1781, Earth Syst. Sci. Data Discuss. https://doi.org/10.5194/essd-2024-500.\r\n\r\n  Land station data processing:\r\n  Taylor, M. et al. (2025, in review). GloSAT LATsdb: a global compilation of land air temperature station records with updated climatological normals from local expectation kriging. Submitted to Geoscience Data Journal.\r\n  Wallis, E. J., et al. (2024). Quantifying exposure biases in early instrumental land surface air temperature observations. International Journal of Climatology, 44(5), 1611–1635. https://doi.org/10.1002/joc.8401\r\n\r\n  Marine air temperature processing:\r\n  Cropper, T. E., et al. (2023). Quantifying Daytime Heating Biases in Marine Air Temperature Observations from Ships. J. Atmos. Oceanic Technol., 40, 427–438, https://doi.org/10.1175/JTECH-D-22-0080.1.",
    "keywords": "GloSATref, air temperature, land surface temperature",
    "publicationState": "citable",
    "dataPublishedTime": "2025-06-19T15:52:48",
    "doiPublishedTime": "2025-06-19T16:11:03.228431",
    "updateFrequency": "",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44249/?format=api",
        "dataPath": "/badc/deposited2025/GloSAT/GloSATref-1-0-0-0",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 17372986605,
        "numberOfFiles": 3436,
        "fileFormat": "NetCDF"
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12314/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4760/?format=api",
    "nonGeographicFlag": false,
    "phenomena": [
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/9042/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/9043/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31690/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31691/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31692/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31693/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31695/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31699/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31700/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50542/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50543/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60438/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85570/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86004/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86005/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86006/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86007/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86008/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86009/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86010/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86011/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86012/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86013/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86014/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86015/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86016/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86017/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86018/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86019/?format=api"
    ],
    "dataLineage": "Marine air temperature data are sourced from the GloSATMAT data set, also developed as part of the GloSAT project and a successor to the CLASSnmat data set. GloSATMAT adds new estimates of diurnal heating biases, enabling the use of daytime observations and allowing the extension of the dataset further into the past compared to nighttime-only marine air temperature data. \r\n  \r\nLand air temperature station data is sourced from GloSATLAT station database (GloSATLAT sdb). This is an extended version of the CRUTEM5 station database. It adds bias adjustments for non-standard thermometer enclosures in the early instrumental periods and includes new climatological normal estimates for stations with limited data in the 1961–1990 baseline period. \r\n\r\nData were produced by the project team before uploading to CEDA for archival.",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13421/?format=api"
    ],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/44102/?format=api"
    ],
    "observationcollection_set": [],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210980/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210981/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210982/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210983/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210984/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210985/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210986/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210987/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210988/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210989/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210990/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210991/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210992/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210993/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210994/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210995/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210996/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210997/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210998/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210999/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211000/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211001/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211002/?format=api"
    ],
    "procedureAcquisition": null,
    "procedureCompositeProcess": null,
    "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/32049/?format=api",
    "permissions": [
        {
            "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api",
            "useLimitation": null,
            "accessConstraints": null,
            "accessCategory": "public",
            "accessRoles": null,
            "label": "public: None group",
            "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/",
            "licenceClassifications": "any"
        }
    ],
    "discoveryKeywords": []
}