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/13868/?format=api

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

{
    "ob_id": 13868,
    "uuid": "5aa1248620a14e609341b6aa7d8d984f",
    "title": "Monthly and Seasonal Blended MOHSST6-Jones Land Surface Air Temperature Dataset (1856-2002)",
    "abstract": "Blending a sea-surface temperature (SST) dataset with land air temperature makes an implicit assumption that SST anomalies are a good surrogate for marine air temperature anomalies. It has been shown that this is the case, and that marine SST measurements provide more useful data and smaller sampling errors than marine air temperature measurements would. So blending SST anomalies with land air temperature anomalies is a sensible choice.\r\n\r\nThis dataset contains monthly and seasonal blended sea-surface temperatures (MOHSST6) with land air temperature data from the Climatic Research Unit (CRU) at the University of East Anglia (P.D. Jones). \r\n\r\nData are represented on 5 deg. grids from 1856 to May 2002. \r\n\r\nThe data were provided by the Met Office.",
    "keywords": "SST, MOHSST6, blended, CRU, UEA",
    "publicationState": "published",
    "dataPublishedTime": "2015-12-20T22:46:27",
    "doiPublishedTime": null,
    "updateFrequency": "notPlanned",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/13869/?format=api",
        "dataPath": "/badc/ukmo-gosta/data/mohsst6_jones",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 861084,
        "numberOfFiles": 3,
        "fileFormat": "Data are ASCII formatted"
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/3716/?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/21894/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25900/?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/8752/?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/53192/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/53193/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/53194/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/53196/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/53197/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/53198/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/53199/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/53195/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/53201/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/53200/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/55488/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148611/?format=api"
    ],
    "procedureAcquisition": null,
    "procedureCompositeProcess": null,
    "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/6081/?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"
        }
    ]
}