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/14430/?format=api

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

{
    "ob_id": 14430,
    "uuid": "c19b0914521144ab8c18c91d586c6847",
    "title": "ESA Land Cover Climate Change Initiative (Land Cover CCI) Dataset Collection",
    "abstract": "The Land Cover CCI has generated a number of data products as part of its Climate Data Research Package.  These consist of: \r\n\r\n- A new time series of consistent global LC maps at 300 m spatial resolution on an annual basis from 1992 to 2015;\r\n- 1 user tool for sub-setting, re-projecting and re-sampling the products in a way which is suitable to each climate model.\r\n- The full archive of AVHRR HRPT 1 km surface reflectance 7-day composites from 1992 to 1999;\r\n- The full archive of MERIS surface reflectance 7-day composites from 2003 to 2011 (300 m and 1 km resolution);\r\n- A PROBA-V 1 km time series of surface reflectance 7-day composites from mid March 2014 to end 2015;\r\n- 1 static map of open water bodies including ENVISAT ASAR data;\r\n-  3 global land surface seasonality products characterizing the vegetation greenness, the snow and the burned areas dynamics.\r\n\r\nIn the context of the CCI Open Data portal, a subset of these data products are held within the CEDA archive.   \r\n\r\nThe complete set of data products are available from the CCI Landcover team via their portal at: http://maps.elie.ucl.ac.be/CCI/viewer/",
    "keywords": "ESA, Land Cover, CCI, ECV",
    "discoveryKeywords": [
        1138
    ],
    "publicationState": "published",
    "dataPublishedTime": "2016-03-09T16:29:40",
    "doiPublishedTime": null,
    "member": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/14427/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/14549/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/19847/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/19849/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/27640/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/37340/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/44300/?format=api"
    ],
    "identifier_set": [],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/55996/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/55994/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/55997/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/55999/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/56000/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105402/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105430/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105454/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/55995/?format=api"
    ]
}