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/25944/?format=api

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

{
    "ob_id": 25944,
    "uuid": "050ab7126ebe4300b7a3dc9fce18b054",
    "title": "QA4ECV LAI",
    "abstract": "The Leaf Area Index (LAI) product is produced using a Two Stream Inversion Package (TIP) method applied to visible (VIS) and near infrared (NIR) broadband albedos (from the QA4ECV albedo product). he definition of LAI in this product is half the total canopy area per unit ground area (m2 / m2) for a homogeneous canopy of infinitesimally small Lambertian surfaces, akin to a turbid medium.",
    "keywords": "",
    "publicationState": "working",
    "dataPublishedTime": null,
    "doiPublishedTime": null,
    "updateFrequency": "",
    "status": "pending",
    "result_field": null,
    "timePeriod": null,
    "geographicExtent": null,
    "nonGeographicFlag": false,
    "phenomena": [],
    "dataLineage": "These data",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/25937/?format=api"
    ],
    "observationcollection_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/25943/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108458/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204846/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204847/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204848/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204849/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204850/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108460/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204845/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108459/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108461/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108462/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108463/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108464/?format=api"
    ],
    "procedureAcquisition": null,
    "procedureCompositeProcess": null,
    "procedureComputation": null,
    "permissions": [],
    "discoveryKeywords": []
}