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/4352/?format=api

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

{
    "ob_id": 4352,
    "uuid": "0520984a654300a1e95b324e1b2ca416",
    "title": "Met Office stratospheric assimilated: mean data from 1991 to 2006",
    "abstract": "This dataset contains mean data concerning stratospheric temperature, geopotential height and wind components produced by the Stratospheric Data Assimilation System at the UK Met Office.\r\n\r\nThe data assimilation system is a development of the scheme used at the Met Office for operational weather forecasting, which has been extended to cover the stratosphere. The primary product is a daily analysis (at 1200 UTC) which is produced using operational observations only. For short periods of particular interest the analyses are available at 6-hourly intervals. Assimilation experiments using UARS (Upper Atmosphere Research Satellite) data in addition to operational meteorological observations have been carried out for limited periods.",
    "keywords": "Met Office, meteorology, statospheric",
    "publicationState": "published",
    "dataPublishedTime": "2007-02-05T17:10:35",
    "doiPublishedTime": null,
    "updateFrequency": "notPlanned",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/4353/?format=api",
        "dataPath": "/badc/ukmo-assim/data/means/",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 1060384229,
        "numberOfFiles": 176,
        "fileFormat": "Data are PP formatted"
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/1238/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api",
    "nonGeographicFlag": false,
    "phenomena": [
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/4566/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/21780/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50680/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50728/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50738/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50743/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70288/?format=api"
    ],
    "dataLineage": "Data received from the Met Office\r\n      ",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/2925/?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/4348/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/20651/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/20656/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/20654/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/20649/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/20650/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/20655/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/20653/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/20652/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/55441/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169559/?format=api"
    ],
    "procedureAcquisition": null,
    "procedureCompositeProcess": null,
    "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/4354/?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"
        }
    ]
}