Observation Collection Instance – Django REST framework

Get a list of Collections objects. Collections have a 1:1 mapping with Observations.

### Available end points:

- `/observationcollections/` - Will list all Collections in the database
- `/observationcollections.json` - Will return all Collections in json format
- `/observationcollections/<object_id>/` - Returns Collections object with that id

### Available Methods:

- `GET`
- `HEAD`

### Available filters:

- `uuid`
- `title`
- `keywords`
- `discoveryKeywords`
- `publicationState`

### How to use filters:

- `/observationcollections/?uuid=ab4ca8d019d148f78afba1cd20872bdd`

- `/observationcollections.json?publicationState=citable`

GET /api/v2/observationcollections/45880/?format=api

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

{
    "ob_id": 45880,
    "uuid": "061fc86521c24c32b2b29aea08080195",
    "title": "EOCIS: CHUK Aerosol Optical Depth",
    "abstract": "This dataset collection contains Climate High resolution UK (CHUK) Aerosol Optical Depth data produced within the Earth Observation Climate Information Service (EOCIS) project.\r\n\r\nThese data are derived from Swansea University Global Aerosol retrievals (v1.14) for the Sea and Land Surface Temperature Radiometers (SLSTR) on the Sentinel-3A and Sentinel-3B satellites (https://catalogue.ceda.ac.uk/uuid/17d83baf50a644d89a4fb78ca6cccec1/) Original level 2 retrievals in the UK region have been re-projected from the instrument swath onto the Climate High-resolution grid for the UK at 100m resolution and composited over daily and monthly timescales. They contain the aerosol optical depth and the fine-mode aerosol optical depth at 550nm. Two versions of each variable are included: with and without the post-processing filtering that is used in the global dataset.",
    "keywords": "Aerosol, Optical, depth, UK, SLSTR, Sea, Surface, Temperature, Radiometer, High-resolution, EOCIS",
    "discoveryKeywords": [],
    "publicationState": "preview",
    "dataPublishedTime": null,
    "doiPublishedTime": null,
    "member": [
        "https://catalogue.ceda.ac.uk/api/v2/observations/43476/?format=api",
        "https://catalogue.ceda.ac.uk/api/v2/observations/45881/?format=api"
    ],
    "identifier_set": [],
    "responsiblepartyinfo_set": [
        "https://catalogue.ceda.ac.uk/api/v2/rpis/219592/?format=api",
        "https://catalogue.ceda.ac.uk/api/v2/rpis/219338/?format=api",
        "https://catalogue.ceda.ac.uk/api/v2/rpis/219339/?format=api",
        "https://catalogue.ceda.ac.uk/api/v2/rpis/219340/?format=api",
        "https://catalogue.ceda.ac.uk/api/v2/rpis/219341/?format=api",
        "https://catalogue.ceda.ac.uk/api/v2/rpis/219342/?format=api",
        "https://catalogue.ceda.ac.uk/api/v2/rpis/219345/?format=api",
        "https://catalogue.ceda.ac.uk/api/v2/rpis/219337/?format=api",
        "https://catalogue.ceda.ac.uk/api/v2/rpis/219343/?format=api"
    ]
}