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/41597/?format=api

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

{
    "ob_id": 41597,
    "uuid": "010628b25a9d4bb3beadd841b3feb2e1",
    "title": "Global NWP meteorological data for Met Office NAME dispersion model",
    "abstract": "These datasets contain Numerical Weather Prediction (NWP) global meteorological data produced by the Met Office Unified Model. The datasets have been processed into a form suitable for use in the Met Office NAME (Numerical Atmospheric-dispersion Modelling Environment) dispersion model. NAME uses the Met Office Numerical Weather Prediction model outputs as its source for weather data to be able to predict movement of atmospheric parcels forwards and backwards in time.\r\n\r\nThe NWP data used by NAME is different from other forms of Met Office NWP as follows:\r\n- It has been split into spatial partitions (i.e. different parts of the world/domain are in different files)\r\n- It has been reformatted into PP format\r\n\r\nHowever, from the perspective of the raw data, this dataset of global gridded NWP meteorological data is generically useful for a whole range of scientific research and applications.",
    "keywords": "NAME, NWP, atmospheric dispersion, Numerical Weather Prediction, UM",
    "discoveryKeywords": [],
    "publicationState": "published",
    "dataPublishedTime": "2024-10-14T13:12:59",
    "doiPublishedTime": null,
    "member": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/41592/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/41598/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/43389/?format=api"
    ],
    "identifier_set": [],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202724/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202725/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202726/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202727/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202728/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202729/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202730/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202731/?format=api"
    ]
}