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/26851/?format=api

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

{
    "ob_id": 26851,
    "uuid": "863a47a6d8414b6982e1396c69a9efe8",
    "title": "CRU JRA: Collection of CRU JRA forcing datasets of gridded land surface blend of Climatic Research Unit (CRU) and Japanese reanalysis (JRA) data.",
    "abstract": "This is a collection of the University of East Anglia Climatic Research Unit (CRU) Japanese Reanalysis (JRA) data. The CRU JRA data are 6-hourly, land surface, gridded time series of ten meteorological variables produced by the Climatic Research Unit (CRU) at the University of East Anglia (UEA), and is intended to be used to drive models.\r\n\r\nThe dataset is constructed by combining data from the Japanese Reanalysis data produced by the Japanese Meteorological Agency (JMA) and adjusted where possible to align with the CRU TS data (these 'ten meteorological variables' are not the same ten available from CRU TS).\r\n\r\nThe CRU JRA dataset is intended to be a replacement of the CRUNCEP forcing dataset. The CRU JRA dataset follows the style of Nicolas Viovy's original CRUNCEP dataset rather than that which is available from UCAR.",
    "keywords": "CRU, JRA, CRUJRA, atmosphere, earth science, climate",
    "discoveryKeywords": [
        1138
    ],
    "publicationState": "published",
    "dataPublishedTime": "2019-02-25T15:47:59",
    "doiPublishedTime": null,
    "member": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/26978/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/27491/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/31963/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/32817/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/38218/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/40271/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/43093/?format=api"
    ],
    "identifier_set": [],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112756/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112754/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112755/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112749/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112746/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112743/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112744/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112751/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112752/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168490/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168491/?format=api"
    ]
}