Observation Instance – Django REST framework

Get a list of Observation objects.

### Available end points:

- `/observations/` - Will list all Results in the database
- `/observations.json` - Will return all Results in json format. This can
also be achieved by using the accept header. `application/json`
- `/observations/<object_id>/` - Returns Results object with that id

### Available Methods:

- `GET`
- `HEAD`

### Available filters:

- `title`
- `uuid`
- `keywords`
- `status`
- `result_field`
- `discoveryKeywords`
- `updateFrequency`
- `nonGeographicFlag`
- `publicationState`
- `permissions`

### How to use filters:

These filters can be used like django query filters using __ for related model relationships.

- `/observations/?uuid=d594d53df2612bbd89c2e0e770b5c1a0`
- `/observations/?status=completed`
- `/observations/?results_field__dataPath__startswith=/neodc/esacci`
- `/observations/?discoveryKeywords__name=ESACCI`
- `/observations/?nonGeographicFlag=True`

Filters can be stacked to build an 'AND' relationship. E.g.

- `/observations/?publicationState__in=published,citable&nonGeographicFlag=True`
- `/observations/?publicationState__in=published,citable&discoveryKeyword__name=NDGO0003`

GET /api/v2/observations/39018/?format=api

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

{
    "ob_id": 39018,
    "uuid": "e420b998f9044243bd4c5ef6978063d0",
    "title": "PRIMAVERA: the EC-Earth-Consortium team EC-Earth3P model output for the \"highresSST-present\" experiment",
    "abstract": "PRIMAVERA Project data from the the EC-Earth-Consortium team EC-Earth3P model output for the \"forced atmosphere experiment for 1950-2014\" (highresSST-present) experiment. These are available at the following frequencies: Prim3hr, Prim6hr, Prim6hrPt, Primday, PrimdayPt and Primmon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nPRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.\n\nThe the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Éireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.",
    "keywords": "PRIMAVERA, HighResMIP, climate change, EC-Earth-Consortium, EC-Earth3P, highresSST-present, Prim3hr, Prim6hr, Prim6hrPt, Primday, PrimdayPt, Primmon",
    "publicationState": "published",
    "dataPublishedTime": "2022-11-14T19:03:46.243201",
    "doiPublishedTime": null,
    "updateFrequency": "asNeeded",
    "status": "ongoing",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39019/?format=api",
        "dataPath": "/badc/cmip6/data/PRIMAVERA/HighResMIP/EC-Earth-Consortium/EC-Earth3P/highresSST-present",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 7058325796986,
        "numberOfFiles": 24039,
        "fileFormat": "Data are netCDF formatted."
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10800/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api",
    "nonGeographicFlag": false,
    "phenomena": [
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6022/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=api",
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        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27829/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50418/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50419/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50431/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50468/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50475/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50498/?format=api",
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        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59393/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59394/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59396/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59398/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59400/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59403/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59404/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59406/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59409/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59410/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59415/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59417/?format=api",
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        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60438/?format=api"
    ],
    "dataLineage": "Data were produced and verified by the EC-Earth-Consortium team scientists before upload to the Centre for Environmental Data Analysis (CEDA) and publication via the Earth Systems Grid Federation (ESGF).",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/39010/?format=api"
    ],
    "observationcollection_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39013/?format=api"
    ],
    "responsiblepartyinfo_set": [
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    ],
    "procedureAcquisition": null,
    "procedureCompositeProcess": null,
    "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/31019/?format=api",
    "permissions": [
        {
            "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2520/?format=api",
            "useLimitation": null,
            "accessConstraints": null,
            "accessCategory": "public",
            "accessRoles": null,
            "label": "public: None group",
            "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/CMIP6_Terms_of_Use.pdf",
            "licenceClassifications": ""
        }
    ],
    "discoveryKeywords": [
        {
            "ob_id": 1138,
            "name": "NDGO0003"
        }
    ]
}