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/45879/?format=api

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

{
    "ob_id": 45879,
    "uuid": "a01f32f71c4f424d940aaa4a63fbbec4",
    "title": "EOCIS: CHUK Particulate Matter (PM2.5, PM10)",
    "abstract": "This dataset collection contains Climate High resolution UK (CHUK) Particulate Matter (PM2.5, PM10) data produced within the Earth Observation Climate Information Service (EOCIS) project. \r\n\r\nThese data are produced by a machine learning algorithm that combines inputs from satellite, in-situ and analysis data sources. The algorithm generates measurements of the particulate matter (PM) at sizes smaller than 2.5 µm (PM2.5) and 10 µm (PM10). Original level 2 retrievals in the UK region have been reprojected from the instrument swath onto the Climate High-resolution grid for the UK at 100m resolution and composited over daily and monthly timescales. Two versions of each variable are included: with and without the post-processing filtering that is used in the global AOD dataset that is used as an input.",
    "keywords": "Particulate, Matter, PM2.5, PM10, Aerosol, Surface, Temperature, Land, Radiometer, SLSTR, Sea, EOCIS",
    "discoveryKeywords": [],
    "publicationState": "preview",
    "dataPublishedTime": null,
    "doiPublishedTime": null,
    "member": [
        "https://catalogue.ceda.ac.uk/api/v2/observations/43742/?format=api",
        "https://catalogue.ceda.ac.uk/api/v2/observations/45882/?format=api"
    ],
    "identifier_set": [],
    "responsiblepartyinfo_set": [
        "https://catalogue.ceda.ac.uk/api/v2/rpis/219336/?format=api",
        "https://catalogue.ceda.ac.uk/api/v2/rpis/219329/?format=api",
        "https://catalogue.ceda.ac.uk/api/v2/rpis/219330/?format=api",
        "https://catalogue.ceda.ac.uk/api/v2/rpis/219331/?format=api",
        "https://catalogue.ceda.ac.uk/api/v2/rpis/219332/?format=api",
        "https://catalogue.ceda.ac.uk/api/v2/rpis/219333/?format=api",
        "https://catalogue.ceda.ac.uk/api/v2/rpis/219334/?format=api",
        "https://catalogue.ceda.ac.uk/api/v2/rpis/219328/?format=api",
        "https://catalogue.ceda.ac.uk/api/v2/rpis/219335/?format=api"
    ]
}