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/34871/?format=api

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

{
    "ob_id": 34871,
    "uuid": "57cfc8b38d914abc8de02b647e879e66",
    "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Collection 1",
    "abstract": "This set of data comprises the first collection of land surface temperature datasets released by the ESA Land Surface Temperature Climate Change Initiative (LST_cci).   \r\n\r\nData have been derived globally from a range of different satellites instruments.\r\n\r\nThe land surface temperature (LST) CCI project, which is funded by the European Space Agency (ESA) as part of the Agency’s Climate Change Initiative (CCI) Programme, aims to deliver a significant improvement on the capability of current satellite LST data records to meet the challenging Global Climate Observing System (GCOS) requirements for climate applications to realise the full potential of long-term LST data for climate science.\r\n\r\nAccurate knowledge of LST plays a key role in describing the physics of land-surface processes at regional and global scales as they combine information on both the surface-atmosphere interactions and energy fluxes within the Earth Climate System. LST provides a metric of surface state when combined with vegetation parameters and soil moisture and is one of the drivers of vegetation phenology. Furthermore, LST is an independent temperature data set for quantifying climate change complementary to the near-surface air temperature ECV based on in situ measurements and reanalyses.",
    "keywords": "",
    "discoveryKeywords": [],
    "publicationState": "preview",
    "dataPublishedTime": null,
    "doiPublishedTime": null,
    "member": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/33362/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/33363/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/33364/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/33365/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/33366/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/33367/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/33368/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/33369/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/33370/?format=api"
    ],
    "identifier_set": [],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169582/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169583/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169584/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169585/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169586/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169587/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169588/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169589/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169592/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169591/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169593/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169590/?format=api"
    ]
}