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/6694/?format=api

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

{
    "ob_id": 6694,
    "uuid": "dd2b2c12df8a0599e75131375bd7b961",
    "title": "RAPID Quantitative applications of high-resolution late Holocene proxy data sets: estimating climate sensitivity and thermohaline circulation influences numerical model and observational data",
    "abstract": "This collection contains data from \"The Quantitative applications of high-resolution late Holocene proxy data sets: estimating climate sensitivity and thermohaline circulation influences\" project, which was a Natural Environment Research Council (NERC) RAPID Climate Change Research Programme project (Round 1 - NER/T/S/2002/00440 - Duration 1 Jul 2003 - 30 Jun 2008) led by Prof Keith Briffa of the University of East Anglia, with co-investigators at the University of East Anglia.\r\n\r\nThis dataset collection contains self-calibrating Palmer Drought Severity Index data.\r\n\r\nThis project analysed the output from state-of-the-art coupled climate models in conjunction with very long instrumental climate data and an extensive archive of annual- and selected decadal-resolution palaeoclimate data to study climate changes during the past millennium. Actual and model-derived synthetic networks of palaeoclimate data have been used to estimate the extent to which (i) variations in Atlantic meridional overturning circulation strength; (ii) variations in the North Atlantic Oscillation; and (iii) the sensitivity of climate to external forcing changes can be reconstructed from different networks of palaeoclimate data, making assumptions about coverage, seasonality of response and reliability of expressed climate signal.",
    "keywords": "RAPID, Climate change,  Atlantic Ocean's Thermohaline Circulation",
    "discoveryKeywords": [
        1138,
        1142
    ],
    "publicationState": "published",
    "dataPublishedTime": "2008-12-10T03:10:16",
    "doiPublishedTime": null,
    "member": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observations/6695/?format=api"
    ],
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/4393/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/4394/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10438/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/28779/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/28781/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/28782/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/28783/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/28787/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/44064/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/44068/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/28780/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/71859/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/44065/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/44067/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/44066/?format=api"
    ]
}