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/861/?format=api

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

{
    "ob_id": 861,
    "uuid": "85650f53d79a7fc71e2815c7a1ae89c6",
    "title": "Met Office HadSST2 (uninterpolated sea surface temperature) (1850-2013)",
    "abstract": "The Met Office Hadley Centre's sea surface temperature data set, HadSST2, replaces the Met Office Historical Sea Surface Temperature dataset (MOHSST6) and is a monthly global field of SST (Sea Surface Temperature) on a 5 deg latitude by 5 deg longitude grid from 1850 to 2013. The data are neither interpolated nor variance adjusted.\r\n\r\nThe observations that make up this dataset are taken from the International Comprehensive Ocean-Atmosphere DataSet, ICOADS (see http://www.cdc.noaa.gov/coads/) until 1997 and from the NCEP GTS  archive thereafter. Individual observations must first pass a series of quality checks (track check, reality check, positional check, climatology check, buddy check, duplicate check). The quality-checked observations in each  1degree longitude X 1degree latitude X pentad gridbox are then averaged using a winsorised average. The pentad climatology is then subtracted from these pentad superobs and the resulting anomalies are averaged to 5degree X 5degree X monthly resolution. The data are then bias-corrected for the use of buckets in the period 1850-1941.",
    "keywords": "Met Office, Hadley, SST,ocean,ICOADS, temperature",
    "discoveryKeywords": [
        1138
    ],
    "publicationState": "published",
    "dataPublishedTime": "2008-12-10T02:34:06",
    "doiPublishedTime": null,
    "member": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/862/?format=api"
    ],
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/583/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/584/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10363/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/2800/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/2805/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/2801/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/2802/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/2803/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/2799/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/42786/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/42787/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/54643/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168755/?format=api"
    ]
}