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/3033/?format=api

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

{
    "ob_id": 3033,
    "uuid": "6596eeb3f895410caa726150ae8136d0",
    "title": "Convective and Orographically-induced Precipitation Study (COPS): Airborne and Ground-Based Atmospheric Measurements",
    "abstract": "The Convective and Orographically-induced Precipitation Study (COPS) was an international field campaign initiated by the German Research Foundation (DFG).\r\n\r\nThis dataset collection contains vertical wind profiler measurements. \r\n\r\nThe UK component of the campaign involved flights by the FAAM aircraft and the deployment of a number of the UK Universities' Facility for Atmospheric Measurement (UFAM) mobile instruments in summer 2007. These included a Doppler Lidar, a radiometer, a wind profiler, two sodars, an aerosol monitoring suite, a network of automatic weather stations and two radiosonde stations. \r\n\r\nThe objective was to identify the physical and chemical processes responsible for the deficiencies in quantitative precipitation forecasting (QPF) over low-mountain regions with the goal of improving their model representation, and thus improve forecasts. For the field experiment, a region in southwestern Germany/eastern France was selected where severe thunderstorm activity is frequent in summer with significant amounts of precipitation and risk of flash flood events, while the skill of numerical weather forecasts in the region is particularly low. This dataset includes measurements of wind speeds and wind directions and aerosol concentrations.",
    "keywords": "COPS, Radiometer, Wind profiler, FAAM, AMF, meteorology, orographic, precipitation, convection",
    "discoveryKeywords": [
        1138
    ],
    "publicationState": "published",
    "dataPublishedTime": "2007-12-10T03:10:26",
    "doiPublishedTime": null,
    "member": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/3038/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/3042/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/3046/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/3051/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/16333/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/16337/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/16358/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/16362/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/16366/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/16370/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/18011/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/18015/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/18019/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/18967/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/18971/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/18975/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/18979/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/18991/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/18999/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/19003/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/43789/?format=api"
    ],
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8938/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/2080/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/2081/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10298/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/13656/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/13658/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/13659/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/13660/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/42387/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/42390/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/13663/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/13657/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/42388/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/46760/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/42389/?format=api"
    ]
}