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/12294/?format=api

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

{
    "ob_id": 12294,
    "uuid": "022a3d5ba0204c4c9bbe983b437289b7",
    "title": "Met Office MSLP Charts images June 2014 to present from the Met Office's SWIFT system",
    "abstract": "UK Met Office charts analyses pertaining to Mean Surface Level Pressure and 24 hour Weather Frontal Forecasting for the UK and Western Europe for the 00 and 12UT forecast runs. The charts in this dataset, at time steps at T+00, 24, 48 and 72 hours, have been produced by the Met Office's SWIFT system using VisualWeather, following a switch from the feed provided by the Met Office's GCPS Commercial System (see related dataset). The data in this collection cover the period 30th June 2014 to present, though initially with some data gaps.",
    "keywords": "mlsp, charts, atmospheric pressure, met office, fronts, depressions, lows, highs",
    "publicationState": "published",
    "dataPublishedTime": "2015-05-07T13:11:04",
    "doiPublishedTime": null,
    "updateFrequency": "continual",
    "status": "ongoing",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/12295/?format=api",
        "dataPath": "/badc/ukmo-charts/data/swift-mslp-charts_2014-present/",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 3598200592,
        "numberOfFiles": 28866,
        "fileFormat": "Files are GIF formatted image files"
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/3327/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/30/?format=api",
    "nonGeographicFlag": false,
    "phenomena": [
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25886/?format=api"
    ],
    "dataLineage": "Data, over the period June 2014 to the present, are produced by the Met Office's operational model system, processed by the Met Office's SWITFT system and produced using VisualWeather before dissemination to the BADC through the Met Office's operational dissemination system. Data are ingested daily.",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8395/?format=api"
    ],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/555/?format=api"
    ],
    "observationcollection_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/1872/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/29923/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/46956/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/46957/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/46958/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/46959/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/46953/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/46954/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/46952/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/46955/?format=api"
    ],
    "procedureAcquisition": null,
    "procedureCompositeProcess": null,
    "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/12296/?format=api",
    "permissions": [
        {
            "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2532/?format=api",
            "useLimitation": null,
            "accessConstraints": null,
            "accessCategory": "restricted",
            "accessRoles": "ukmo_wx",
            "label": "restricted: ukmo_wx group",
            "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement.pdf",
            "licenceClassifications": "academic"
        },
        {
            "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2533/?format=api",
            "useLimitation": null,
            "accessConstraints": null,
            "accessCategory": "restricted",
            "accessRoles": "ukmo_wx_gov",
            "label": "restricted: ukmo_wx_gov group",
            "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement_gov.pdf",
            "licenceClassifications": "policy"
        }
    ],
    "discoveryKeywords": [
        {
            "ob_id": 1138,
            "name": "NDGO0003"
        }
    ]
}