Observation Instance – Django REST framework

Get a list of Observation objects.

### Available end points:

- `/observations/` - Will list all Results in the database
- `/observations.json` - Will return all Results in json format. This can
also be achieved by using the accept header. `application/json`
- `/observations/<object_id>/` - Returns Results object with that id

### Available Methods:

- `GET`
- `HEAD`

### Available filters:

- `title`
- `uuid`
- `keywords`
- `status`
- `result_field`
- `discoveryKeywords`
- `updateFrequency`
- `nonGeographicFlag`
- `publicationState`
- `permissions`

### How to use filters:

These filters can be used like django query filters using __ for related model relationships.

- `/observations/?uuid=d594d53df2612bbd89c2e0e770b5c1a0`
- `/observations/?status=completed`
- `/observations/?results_field__dataPath__startswith=/neodc/esacci`
- `/observations/?discoveryKeywords__name=ESACCI`
- `/observations/?nonGeographicFlag=True`

Filters can be stacked to build an 'AND' relationship. E.g.

- `/observations/?publicationState__in=published,citable&nonGeographicFlag=True`
- `/observations/?publicationState__in=published,citable&discoveryKeyword__name=NDGO0003`

GET /api/v2/observations/3877/?format=api

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

{
    "ob_id": 3877,
    "uuid": "e6a0f9fa6e8a5cce53a2ce56c4eb0426",
    "title": "ACCMIP: GISS (Goddard Institute for Space Studies) climate model output",
    "abstract": "The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) was organized under the auspices of Atmospheric Chemistry and Climate (AC&C), a project of International Global Atmospheric Chemistry (IGAC) and Stratospheric Processes And their Role in Climate (SPARC) under International Geosphere Bisosphere Programme (IGBP) and World Climate Research Programme (WCRP). The Atmospheric Chemistry and Climate Model Intercomparison Project (ACC-MIP) consists of several sets of simulations that have were designed to facilitate useful evaluation and comparison of the AR5 (Intergovernmental Committee on Climate Change Assessment Report 5) transient climate model simulations.\r\n\r\nThis dataset contains measurements from climate simulations from GISS of the 20th century and the future projections, which output feedback between dynamics, chemistry and radiation in every model time step. The data are collected from running the latest set of ozone precursor emissions scenarios, which output tropospheric ozone changes from 1850 to 2100.",
    "keywords": "ACCMIP, Model, chemistry, climate",
    "publicationState": "published",
    "dataPublishedTime": "2011-08-24T10:18:20",
    "doiPublishedTime": null,
    "updateFrequency": "notPlanned",
    "status": "completed",
    "result_field": {
        "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/3878/?format=api",
        "dataPath": "/badc/accmip/data/GISS",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 1398870962081,
        "numberOfFiles": 119058,
        "fileFormat": "Data are netCDF formatted"
    },
    "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/1106/?format=api",
    "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/71/?format=api",
    "nonGeographicFlag": false,
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    ],
    "dataLineage": "The ACCMIP model output uses CMOR (Climate Model Output Rewriter) to convert data to CF netCDF. The CMOR conversion is performed by the individual modelling groups and the resulting CF netCDF files are archived at CEDA.",
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    "language": "English",
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            "licenceURL": "http://creativecommons.org/licenses/by/4.0/",
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}