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/26056/?format=api

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

{
    "ob_id": 26056,
    "uuid": "6dd4ea9f87ef4ba8a084989c92685a89",
    "title": "ECMWF ERA-Interim: reduced N256 Gaussian gridded synoptic monthly mean analysed potential temperature level parameter data (hgat)",
    "abstract": "ERA-Interim is the latest European Centre for Medium-Range Weather Forecasts (ECMWF) global atmospheric reanalysis of the period 1979 to August 2019. This follows on from the ERA-15 and ERA-40 re-analysis projects. \r\n\r\nThe dataset includes synoptic monthly mean analysed potential temperature level data on a reduced N256 Gaussian grid. Data are available at the 00, 06, 12 and 18 UT analysis times.",
    "keywords": "ECMWF, ERA, ERA, Interim, reanalysis, surface, model, Gaussian, N256, analysis, potential temperature level, monthly-mean",
    "publicationState": "published",
    "dataPublishedTime": "2020-04-24T12:38:28",
    "doiPublishedTime": null,
    "updateFrequency": "notPlanned",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/26076/?format=api",
        "dataPath": "/badc/ecmwf-era-interim/data/monthly-means/hg/at",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 168879404033,
        "numberOfFiles": 1953,
        "fileFormat": "Data are CF-compliant NetCDF formatted."
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/1837/?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/50542/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50543/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51147/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56612/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56613/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56614/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56615/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56617/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56619/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56620/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56621/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56622/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56623/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56624/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74174/?format=api"
    ],
    "dataLineage": "Data are generated by the ERA-Interim project at European Centre for Medium-Range Weather Forecasts (ECMWF) before being prepared by ECMWF and uploaded to CEDA for ingestion into the archive.",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/6305/?format=api"
    ],
    "observationcollection_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/6302/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109105/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109109/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109102/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109104/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109108/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109107/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109106/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109103/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109179/?format=api"
    ],
    "procedureAcquisition": null,
    "procedureCompositeProcess": null,
    "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/6306/?format=api",
    "permissions": [
        {
            "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2536/?format=api",
            "useLimitation": null,
            "accessConstraints": null,
            "accessCategory": "registered",
            "accessRoles": null,
            "label": "registered: None group",
            "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ecmwf-era-products.pdf",
            "licenceClassifications": "any"
        }
    ],
    "discoveryKeywords": [
        {
            "ob_id": 1138,
            "name": "NDGO0003"
        }
    ]
}