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/33023/?format=api

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

{
    "ob_id": 33023,
    "uuid": "cc660aad3cb34f5cb1ff50db57f47653",
    "title": "CCMI-2022 data produced by the NIWA-UKCA2 model at NIWA",
    "abstract": "The NIWA-UKCA2 model contribution to the CCMI-2022 set of experiments defined by the APARC- and IGAC-supported Chemistry-Climate Model Initiative.\r\n\r\nThe CCMI-2022 set of model experiments focus on the stratosphere, with the goals of providing updated projections of the future evolution of ozone and improving our understanding of chemistry-climate interactions and how they are represented in models.\r\n\r\nThe NIWA-UKCA2 chemistry-climate model is run by the modelling team at NIWA (National Institute of Water and Atmospheric Research) in New Zealand and configured to follow forcings as laid out in the CCMI2022 founding document (Plummer et al., 2021)\r\n\r\nAPARC (formerly SPARC) and IGAC projects coordinate international research in atmospheric chemistry. APARC (Atmospheric Processes And their Role in Climate) is a core project of the World Climate Research Programme (WCRP). IGAC is the International Global Atmospheric Chemistry which currently operates under the umbrella of Future Earth.",
    "keywords": "CCMI-2022, NIWA-UKCA2, NIWA, APARC",
    "discoveryKeywords": [
        1138
    ],
    "publicationState": "published",
    "dataPublishedTime": "2021-08-06T21:01:19",
    "doiPublishedTime": null,
    "member": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/33019/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/33022/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/37358/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/37359/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/37360/?format=api"
    ],
    "identifier_set": [],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147441/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147442/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147443/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147445/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147446/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147447/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147450/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/147451/?format=api"
    ]
}