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/26582/?format=api

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

{
    "ob_id": 26582,
    "uuid": "3a9c171d7f1c4441ba8ffb9c2c22b81e",
    "title": "Model output described in the 2007 IPCC Fourth Assessment Report (AR4), 20 and 30 year climatologies",
    "abstract": "Data used in Climate Change 2007, the Fourth Assessment Report (AR4) of the United Nations Intergovernmental Panel on Climate Change (IPCC).\r\n\r\nSimulations of global climate models were run by various climate modelling groups coordinated by the World Climate Research Programme (WCRP) on behalf of the United Nations Intergovernmental Panel on Climate Change (IPCC).\r\nClimatology data calculated from global climate model simulations of experiments representative of Special Report on Emission Scenarios (SRES) scenarios: A1b, A2, B1, the commitment scenario experiment (COMMIT),  the twentieth century experiment (20C3M), the pre-industrial control (PICTL) and the idealised experiments 1PCTO2X and 1PCTO4X.\r\nThe AR4 climatologies are 20-year averages, 30-year averages have also been calculated for comparison with the IPCC Third Assessment Report (TAR).  The monthly climatology data covers the period from 1850-2100. The climatologies are of global scope and are provided on latitude-longitude grids.",
    "keywords": "IPCC, DDC, AR4, SRES, COMMIT, PICTL, 20C3M, 1PCTO2X, 1PCTO4X, Climate Change",
    "discoveryKeywords": [
        1138
    ],
    "publicationState": "published",
    "dataPublishedTime": "2021-06-01T21:13:33",
    "doiPublishedTime": null,
    "member": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/26584/?format=api"
    ],
    "identifier_set": [],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130048/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130050/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130051/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111714/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130044/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130045/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130046/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130047/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130049/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111711/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111712/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111713/?format=api"
    ]
}