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/1032/?format=api

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

{
    "ob_id": 1032,
    "uuid": "073f8569e646194752561c22b6f2785c",
    "title": "Rutherford Appleton Laboratory (RAL) Molecular Spectroscopy Facility (MSF) Data",
    "abstract": "These data are held by the BADC for the Natural Environment Research Council (NERC) Molecular Spectroscopy Facility (MSF). MSF provides world-class scientific equipment and support for infrared (IR),visible, and ultraviolet (UV) spectroscopy. The MSF laboratories are used by many UK and international customers in a wide range of research and development programmes. The data are spectra of various atmospheric gases. These data are public.\r\n\r\nThe data held covers the following areas:\r\n\r\nWater vapour line parameters\r\nMolecular oxygen absorption cross-sections\r\nMolecular oxygen/nitrogen absorption cross-sections\r\nHydrofluorocarbon (HFC) infrared absorption cross-sections\r\nPerfluorocarbon (PFC) infrared absorption cross-sections\r\nComputer software",
    "keywords": "RAL, Molecular Spectroscopy",
    "discoveryKeywords": [
        1138
    ],
    "publicationState": "published",
    "dataPublishedTime": "2000-12-10T03:13:32",
    "doiPublishedTime": null,
    "member": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/1033/?format=api"
    ],
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/752/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/753/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10392/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/3291/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/3294/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/41048/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/3292/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/3293/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/3296/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/3290/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/41053/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/41049/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/41050/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/41051/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/41052/?format=api"
    ]
}