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/19274/?format=api
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 19274,
    "uuid": "43b756af495440ef8ab460d16926263f",
    "title": "Microphysics of Antarctic Clouds (MAC) project :in-situ airborne atmospheric measurements, model output and NAME dispersion footprints.",
    "abstract": "Microphysics of Antarctic Clouds (MAC) is an active NERC (Natural Environment Research Council) funded project (NE/K01305X/1). \r\n\r\nThis dataset collection contains NAME dispersion footprints model plots, model output and data in-situ observations from the British Antarctic Survey (BAS) Masin twin-otter aircraft. \r\n\r\nThe largest uncertainties in future climate predictions highlighted by the Intergovernmental Panel on Climate change (IPCC 2007) arise from our lack of knowledge of the interaction of clouds with solar and terrestrial radiation (Dufresene & Bony, 2008). In Antarctica clouds play a major role in determining the continent's ice sheet radiation budget, its surface mass balance and ozone climatology. However in spite of this there are few in situ measurements of cloud properties, aerosol numbers, Cloud Condensation Nuclei (CCN) or Ice Nuclei (IN) with the main focus being on remote sensing data sets (see the review by Bromwich et al 2012). As a result the skill in climate and forecast models at high latitudes is significantly poorer than at mid latitudes. In this project a more representative of the Antarctic continent's coastal region was used. It is in this coastal region that clouds will have the biggest impact on the climate as in the interior of the continent the total cloud cover is less (Lachlan-Cope 2010) and those clouds that exist are more tenuous. To achieve this flights were conducted from the Halley research station.",
    "keywords": "MAC, aircraft, CCN, cloud, Antartic, NAME dispersion footprints",
    "discoveryKeywords": [
        1138,
        1142
    ],
    "publicationState": "published",
    "dataPublishedTime": "2016-07-11T09:38:34",
    "doiPublishedTime": null,
    "member": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/19276/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/27053/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/27179/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/27181/?format=api"
    ],
    "identifier_set": [],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72813/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72814/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72815/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72816/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72817/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72818/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72820/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72812/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72821/?format=api"
    ]
}