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/38161/?format=api

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

{
    "ob_id": 38161,
    "uuid": "2981d0a585b7407abcb15444151014b8",
    "title": "FAAM C303 DCMEX flight: Airborne atmospheric measurements from instruments on board the BAE-146 aircraft",
    "abstract": "Airborne atmospheric measurements from instruments on board the FAAM BAE-146 aircraft collected for the Deep Convective Microphysics Experiment (DCMEX) project. Flight C303 took place on 25th July 2022 over New Mexico, USA.",
    "keywords": "DCMEX, FAAM, airborne, atmospheric measurments",
    "publicationState": "published",
    "dataPublishedTime": "2022-09-20T14:34:47",
    "doiPublishedTime": null,
    "updateFrequency": "asNeeded",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/38160/?format=api",
        "dataPath": "/badc/faam/data/2022/c303-jul-25",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 8436666817,
        "numberOfFiles": 61,
        "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted."
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10517/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3631/?format=api",
    "nonGeographicFlag": false,
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        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50968/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50969/?format=api",
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        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50981/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50983/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50984/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50985/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50986/?format=api",
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    "dataLineage": "Data were collected by instrument scientists during the flight before preparation and delivery for archiving at the Centre for Environmental Data Analysis (CEDA).",
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    "language": "English",
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    "discoveryKeywords": []
}