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/6070/?format=api

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

{
    "ob_id": 6070,
    "uuid": "baea7ca09988fead898232b4bda9eea5",
    "title": "Global sea-Ice and Sea Surface Temperature (GISST2.3b) anomalies (1871-2003)",
    "abstract": "GISST, (Global sea-Ice and Sea Surface Temperature) is a gridded dataset of sea-surface temperature anomalies and sea-ice coverage fractions covering the period 1871-2003. \r\n\r\nGISST was originally developed as an extention to MOHSST that provided a globally complete SST analysis and sea-ice data. This is required to drive atmospheric general circulation models.\r\n\r\nGISST has now been superceeded by HadISST. We now recommend use of HadISST instead of GISST for all purposes. GISST is only still available in case it is needed for direct comparison with earlier work where GISST was used. GISST is no longer updated or developed.\r\n\r\nGISST SSTs are based on the in-situ data set MOHSST, infilled using Empirical Orthogonal Function (EOF) interpolation.\r\n\r\nThe current version of the dataset is GISST 2.3B which was provided by the Met Office Hadley Centre.",
    "keywords": "Met Office, GICE, GISST, SST, Ice, Blended, Land, climate",
    "publicationState": "published",
    "dataPublishedTime": "2007-02-02T17:07:50",
    "doiPublishedTime": null,
    "updateFrequency": "notPlanned",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/6071/?format=api",
        "dataPath": "/badc/ukmo-gosta/data/gisst/",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 720527592,
        "numberOfFiles": 153,
        "fileFormat": "ASCII"
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/1775/?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/21904/?format=api"
    ],
    "dataLineage": "Data files acquired by the BADC from the Met Office Hadley Centre in 2000.",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/3929/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8755/?format=api"
    ],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/13164/?format=api"
    ],
    "observationcollection_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/6069/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/25715/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/25711/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/25709/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/25712/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/25713/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/25714/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/25716/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/25710/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/53206/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/55485/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148633/?format=api"
    ],
    "procedureAcquisition": null,
    "procedureCompositeProcess": null,
    "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/6072/?format=api",
    "permissions": [
        {
            "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2600/?format=api",
            "useLimitation": null,
            "accessConstraints": null,
            "accessCategory": "restricted",
            "accessRoles": "gosta",
            "label": "restricted: gosta group",
            "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement.pdf",
            "licenceClassifications": "academic"
        }
    ],
    "discoveryKeywords": [
        {
            "ob_id": 1138,
            "name": "NDGO0003"
        }
    ]
}