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/6079/?format=api

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

{
    "ob_id": 6079,
    "uuid": "2291d3582cab3293b615ae0ee1ece5bd",
    "title": "Monthly Gridded Met Office Historical Sea-Surface Temperature (MOHSST6) anomalies (1856-2006)",
    "abstract": "MOHSST, (Met Office Historical Sea-Surface Temperature) is a gridded dataset of sea-surface temperature anomalies covering the period 1856-2006. \r\n\r\nMOHSST has now been superceeded by HadSST2. We now recommend use of HadSST2 instead of MOHSST for all purposes. MOHSST is only still available in case it is needed for direct comparison with earlier work where MOHSST was used. \r\n\r\nMOHSST is produced by taking in-situ measurements of SST from ships and buoys, rejecting measurements which which fail quality checks, converting the measurements to anomalies by subtracting climatological values from the measurements, and averaging the resulting anomalies on a 5 by 5 degree monthly grid.\r\n\r\nUp to 1996 the measurements used are those in the U.K. Marine Data Bank; more recent years use data coming in through the GTS.\r\n\r\nAfter gridding the anomalies, bias corrections are applied to remove spurious trends caused by changes in SST measuring practices, and the data are smoothed to reduce noise. \r\n\r\nThe data were provided by the Met Office Hadley Centre.",
    "keywords": "SST, MOHSST6, Met Office, Hadley, anomalies",
    "publicationState": "published",
    "dataPublishedTime": "2007-02-02T17:09:17",
    "doiPublishedTime": null,
    "updateFrequency": "notPlanned",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/6080/?format=api",
        "dataPath": "/badc/ukmo-gosta/data/mohsst6/",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 31956300,
        "numberOfFiles": 158,
        "fileFormat": "Data are ASCII formatted"
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/1778/?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/3938/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8753/?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/25746/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/25741/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/25739/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/25742/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/25743/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/25744/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/25740/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/25745/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/53204/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/55487/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169567/?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"
        }
    ]
}