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/25021/?format=api

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

{
    "ob_id": 25021,
    "uuid": "18c737a986094b1abd19cfebc9d0c374",
    "title": "The Organization of Tropical Rainfall: MetUM model data and observed convective aggregation data for the Tropics",
    "abstract": "This project was funded by the Natural Environment Research Council (NERC) with the grant reference - NE/I021012/1 - and was led by Dr Christopher Holloway (University of Reading). \r\n\r\nThis dataset collection contains MetUM model data and observed convective aggregation data for the Tropics.\r\n\r\nThis project aimed to clearly identify processes important for self-aggregation of convection in idealized models and then to test whether these processes, or different processes, are active in convective organization in nature. The second part of this goal was an open question in the field, and this fellowship has the potential to connect a rapidly expanding theoretical research area with ongoing efforts to improve the understanding and prediction of tropical variability.  The focus on the Unified Model benefited weather and climate prediction in the UK by exchanging ideas with Met Office scientists who were directly involved in testing and improving the model.    \r\n",
    "keywords": "Tropical, rainfall, clouds, MJO",
    "discoveryKeywords": [
        1138
    ],
    "publicationState": "published",
    "dataPublishedTime": "2018-06-14T13:30:49",
    "doiPublishedTime": null,
    "member": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/25022/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/25029/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/25031/?format=api"
    ],
    "identifier_set": [],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102459/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102460/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102461/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102462/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102463/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102465/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102466/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102467/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102464/?format=api"
    ]
}