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/5487/?format=api

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

{
    "ob_id": 5487,
    "uuid": "73ec447ea99457c77c0ef9692f76393f",
    "title": "European Centre for Medium-Range Weather Forecasts (ECMWF) 15-year re-analysis (ERA-15) model data",
    "abstract": "The European Centre for Medium-Range Weather Forecasts (ECMWF) has provided global atmospheric analyses from its archive for many years. The ERA-15 Re-analysis project was devised in response to wishes expressed by many users for a data set generated by a modern, consistent, and invariant data assimilation system. The ERA-15 project produced a long time-series (January 1979 - February 1994) of consistent meteorological analyses using a single version of the ECMWF model. Dataset contains both initialised and uninitialised T106 spectral upper air data (approximately 1 degree resolution) on model levels and standard pressure levels. Corresponding surface parameters are held on a reduced gaussian N80 grid. Regular 2.5 degree x 2.5 degree gridded data is also stored on standard pressure levels and at the surface.",
    "keywords": "ECMWF, ERA, ERA 15, reanalysis, surface, model",
    "discoveryKeywords": [
        1138
    ],
    "publicationState": "published",
    "dataPublishedTime": "2006-12-10T02:34:04",
    "doiPublishedTime": null,
    "member": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/19261/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/19263/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/19267/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/19269/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/19271/?format=api"
    ],
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/3582/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/3583/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10314/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/23960/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/23962/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/23963/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/23964/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/23966/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/42587/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/42588/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/23961/?format=api"
    ]
}