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/20096/?format=api
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 20096,
    "uuid": "4f9f712ec0e743ea81a1fde9c1f57514",
    "title": "EUSTACE:  Regionally-complete gridded daily air temperature combining surface and satellite data, with uncertainty estimates, for 1850-2016",
    "abstract": "This dataset consists of a globally-complete daily analysis of surface air temperature for the whole Earth since 1850, based on combined information from satellite and in situ data sources.   Uncertainty estimates are provided with the data.   \r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is producing publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.    This particular dataset has been infilled to provide a globally-complete analysis with an 'Ambitious' statistical infilling method...",
    "keywords": "",
    "publicationState": "working",
    "dataPublishedTime": null,
    "doiPublishedTime": null,
    "updateFrequency": "",
    "status": "planned",
    "result_field": null,
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/5264/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api",
    "nonGeographicFlag": false,
    "phenomena": [],
    "dataLineage": "Data are from the EUSTACE project",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [],
    "projects": [],
    "observationcollection_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30128/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/76411/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/76410/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/76408/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/76409/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204905/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204906/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204907/?format=api"
    ],
    "procedureAcquisition": null,
    "procedureCompositeProcess": null,
    "procedureComputation": null,
    "permissions": [],
    "discoveryKeywords": []
}