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/44020/?format=api

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

{
    "ob_id": 44020,
    "uuid": "b7c87e4dafcc486ba1eca2abac752abf",
    "title": "CESM2 output prepared for the Regional Aerosol Model Intercomparison Project (RAMIP)",
    "abstract": "This collection contains data for Tier 1 simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using CESM2. It contains NetCDF output from coupled transient simulations with global aerosol reductions, and with regional aerosol reductions over Africa and the Middle East, East Asia, North America and Europe, and South Asia. It also contains NetCDF output for a set of partner experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe data are global, gridded data, from 01/01/2015 to 28/02/2051 for the coupled transient simulations. For the simulations with fixed sea surface temperatures, global, gridded data is provided for 30 years.\r\n\r\nCESM2 is the Community Earth System Model 2 hosted at the National Centre for Atmospheric Research (NCAR) in the US.",
    "keywords": "aerosol, extremes, near-term projections, RAMIP",
    "discoveryKeywords": [],
    "publicationState": "published",
    "dataPublishedTime": "2026-02-09T16:48:10",
    "doiPublishedTime": null,
    "member": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/43443/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/44022/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/44024/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/44026/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/44028/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/44030/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/44128/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/44130/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/44132/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/44134/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/44136/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/44138/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/44870/?format=api"
    ],
    "identifier_set": [],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210485/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210491/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210486/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210487/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210488/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210489/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210490/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210492/?format=api"
    ]
}