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/43018/?format=api

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

{
    "ob_id": 43018,
    "uuid": "38a7bf730db84cd9951fd4f71f386563",
    "title": "RAL Ozone collection",
    "abstract": "A collection of satellite retrieved ozone products produced by the Remote Sensing Group at RAL Space, Oxfordshire, UK, as part of the National Centre for Earth Observation (NCEO). Ozone products were derived from radiances measured by the UV-visible Global Ozone Monitoring Experiment (GOME) class of instruments: GOME, SCIAMACHY, OMI, GOME-2(A-C), TROPOMI (Sentinel-5P), Sentinel-4 and 5.\r\n\r\nThe original GOME was an instrument aboard ERS-2 (1995). The main scientific objective of the mission was to measure the global distribution of ozone and several trace gases that play an important role in the ozone chemistry of the Earth's stratosphere and troposphere, for example, NO2, BrO, OClO, and SO2. This has been continued since 1995 with various European follow-on instruments.\r\n\r\nAlgorithm development and data processing was primarily funded by UK National funding, initially through the Data Assimilation Research Centre (DARC) and then NCEO, both under the UK Natural Environment Research Council (NERC). Additional funding has been provided from numerous contracts, including from ESA and EUMETSAT studies, the ESA Climate Change Initiative (CCI) and EU Copernicus Climate Change Service (C3S) and the UK Earth Observation Climate Information Service (EOCIS). Input datasets were provided by ESA, EUMETSAT and ECMWF.",
    "keywords": "ozone, tropospheric ozone, satellite, observation",
    "discoveryKeywords": [],
    "publicationState": "published",
    "dataPublishedTime": "2025-05-01T16:13:29",
    "doiPublishedTime": null,
    "member": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/40102/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/40105/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/44312/?format=api"
    ],
    "identifier_set": [],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215124/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204385/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204386/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204387/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204388/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204389/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204390/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211563/?format=api"
    ]
}