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/1272/?format=api

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

{
    "ob_id": 1272,
    "uuid": "bff84b935ce5aa9f04624777b0eea507",
    "title": "UK Universities Global Atmospheric Modelling Programme (UGAMP) Global Ozone Climatology Project Dataset",
    "abstract": "The UGAMP ozone climatology consists in a 4-dimensional distribution of ozone that has been built up from the combination of several observational data sets. These data sets include satellite observations (SBUV, SAGE II, SME, TOMS) as well as ozone sonde data provided by the Atmospheric Environment Service of Canada. This global climatology, covering five years (1985 to 1989), was originally established to replace the simpler ozone climatologies used as input in the UGAMP models (ECMWF parameterization or 2-D zonal means deduced from satellite data). It provides monthly means of the ozone column above the grid levels as well as 5-year averages and zonal averages of these monthly means, on a 2.5 x 2.5 deg horizontal grid and over 47 levels, from the ground up to 0.001 mb. Software to convert ozone columns into mixing ratio and to interpolate the data on any required grid is also available.",
    "keywords": "UGAMp, Model, Climate, ozone",
    "discoveryKeywords": [
        1138
    ],
    "publicationState": "published",
    "dataPublishedTime": "1999-12-10T02:16:21",
    "doiPublishedTime": null,
    "member": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/1273/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/25071/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/25073/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/25075/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/25077/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/25079/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/25081/?format=api"
    ],
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/925/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/926/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10465/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/3968/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/3969/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/3970/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/3971/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/43612/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/3967/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/43615/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/3973/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/43613/?format=api"
    ]
}