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/43285/?format=api

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

{
    "ob_id": 43285,
    "uuid": "17d83baf50a644d89a4fb78ca6cccec1",
    "title": "EOCIS: Swansea University Global Aerosol Optical Depth products from the Along-Track Scanning Radiometers and Sea and Land Surface Temperature Radiometers",
    "abstract": "This dataset collection contains Global Aerosol Optical Depth data produced within the Earth Observation Climate Information Service (EOCIS) project by Swansea University.\r\n\r\nThe data have been derived by applying the Swansea University algorithm to the Along-Track Scanning Radiometer-2 (ATSR-2), Advanced Along-Track Scanning Radiometer (AATSR) and Sea and Land Surface Temperature Radiometers (SLSTR-A and SLSTR-B).\r\n \r\nThe data are grouped into two instrument families each with an associate daily and monthly product. The ATSR-2 and AATSR instruments have been grouped as (A)ATSR L3C v4.35.1 products. SLSTR-A and SLSTR-B are grouped as SLSTR L3C v1.14.1 products.\r\n\r\nThe combined data collection covers the periods 1995-2012 and 2016 to present.\r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ \r\n\r\nWhen citing these datasets please also cite the associated data paper: \r\n\r\nPearson, K.J., North, P.R.J., Heckel, A., Hornero, A., Kinne, S., Popp, T., Sogacheva, L., Griesfeller, J.,  Atmospheric aerosol measurements from the ATSR-SLSTR series of dual-view satellite instruments 1995-2002. Scientific Data (TBD)",
    "keywords": "Aerosol, Particulate, ATSR, ERS-2, ENVISAT, SLSTR, Sentinel-3, EOCIS",
    "discoveryKeywords": [],
    "publicationState": "citable",
    "dataPublishedTime": "2025-02-06T17:10:03",
    "doiPublishedTime": "2025-02-11T12:33:31",
    "member": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/43281/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/43282/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/43283/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/43284/?format=api"
    ],
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13238/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205854/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205845/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205846/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205847/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205848/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205849/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205850/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205851/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205853/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205852/?format=api"
    ]
}