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/14571/?format=api

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

{
    "ob_id": 14571,
    "uuid": "78f23c539d304591b137cf986b69a525",
    "title": "NWP-UKV: Operational Numerical Weather Prediction (NWP) output from the UK Met Office UK Atmospheric High Resolution Unified Model (UM)",
    "abstract": "This dataset collection contains model data from the Met Office Unified Model (UM) operational Numerical Weather Prediction (NWP) UK high resolution model.  \r\n\r\nA post processed regional downscaled configuration of the Unified Model, covering the UK and Ireland, is used with hourly forecast data covering the period T+0 to T+120 hours. With a resolution of approximately 0.018 degrees it is able to produce hourly data at surface level and at standard pressure levels up to eight times a day. The model’s initial state is kept close to the real atmosphere using incremental 3D-Var data assimilation.\r\n\r\nThis archive currently holds data from April 2016 onwards but data will be back populated for earlier years.",
    "keywords": "NWP, Met Office, UM, unified model, UK atmospheric model, UKV",
    "discoveryKeywords": [
        1138
    ],
    "publicationState": "published",
    "dataPublishedTime": "2016-05-24T10:43:37",
    "doiPublishedTime": null,
    "member": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/14573/?format=api"
    ],
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8829/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56507/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56505/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56506/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56508/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56509/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56510/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56511/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56504/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56512/?format=api"
    ]
}