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/19285/?format=api

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

{
    "ob_id": 19285,
    "uuid": "ae37c7090bd44cd4adf7ffa93d5554c3",
    "title": "MRF A309 flight: Airborne atmospheric and chemistry measurements taken on board the Met Office C-130 Hercules aircraft",
    "abstract": "The Meteorological Research Flight (MRF) was a Met Office facility, which flew a well-instrumented C-130 Hercules aircraft for atmospheric research purposes.\r\n\r\nThis dataset contains airborne atmospheric and chemistry measurements taken on board the Met Office C-130 Hercules aircraft flight A309 for research purposes. ",
    "keywords": "Met Office, atmosphere, chemistry, airborne, C-130",
    "publicationState": "published",
    "dataPublishedTime": "2006-12-10T03:09:18",
    "doiPublishedTime": null,
    "updateFrequency": "notPlanned",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/19286/?format=api",
        "dataPath": "/badc/ukmo-mrf/data/a309/",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 164189078,
        "numberOfFiles": 22,
        "fileFormat": "Data are binary formatted"
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/5042/?format=api",
    "geographicExtent": null,
    "nonGeographicFlag": false,
    "phenomena": [
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/21771/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25381/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25382/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25383/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25388/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25389/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25393/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25394/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25396/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25399/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25402/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25403/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25404/?format=api"
    ],
    "dataLineage": "Data collected by instruments on-board the MRF C-130 during flight A309. Data acquired from the Met Office by BADC for wider academic use.",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/19356/?format=api"
    ],
    "observationcollection_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/431/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72899/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72894/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72895/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72896/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72897/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72898/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72900/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72901/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72902/?format=api"
    ],
    "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/19396/?format=api",
    "procedureCompositeProcess": null,
    "procedureComputation": null,
    "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"
        }
    ]
}