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/32223/?format=api

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

{
    "ob_id": 32223,
    "uuid": "e0c341b5ec0747b9bb4ca2f394b3322e",
    "title": "Monthly-mean diurnal cycle of top of atmosphere outgoing radiation from the GERB instrument:  Collection of datasets in Obs4MIPS format",
    "abstract": "This collection of data contains top of atmosphere (TOA) outgoing radiation from the Geostationary Earth Radiation Budget (GERB) instruments on board the Meteosat-9 geostationary satellite for the period from May 2007 until 2012.   Two separate datasets are available, consisting of the shortwave and longwave outgoing radiation respectively.\r\n\r\nEach dataset consists of monthly-mean diurnal cycles, with each day resolved into 1-hour means.    Data are only available for six months of each year (January, May, June, July, November and December), due to operational constraints of the GERB instrument.    \r\n\r\nThey have been produced in Obs4MIPs (Observations for Model Intercomparisons Project) format, as part of an activity to increase the use of GERB satellite observational data for the modelling and model analysis communities. These are not currently standard GERB satellite instrument products, but do represent an effort on behalf of the GERB project team to identify a product that is appropriate for routine model evaluation. The data may have been reprocessed, reformatted, or created solely for comparisons with climate model output.",
    "keywords": "",
    "discoveryKeywords": [],
    "publicationState": "preview",
    "dataPublishedTime": null,
    "doiPublishedTime": null,
    "member": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/31989/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/31992/?format=api"
    ],
    "identifier_set": [],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143291/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143290/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143292/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143293/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143294/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143297/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143298/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143289/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143299/?format=api"
    ]
}