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/13852/?format=api

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

{
    "ob_id": 13852,
    "uuid": "441a1bb6d9ad469eb86b76e61ab0ce6b",
    "title": "HADRT2.2: Reconstructed gridded data set of global monthly radiosonde temperature anomalies, derived from HadRT2.1 (1958-2000)",
    "abstract": "The HADRT2.2 data are global monthly fields of radiosonde temperature anomalies at standard pressure levels on a 10 degree latitude by 20 degree longitude grid from 1958 to 2000. \r\nAnomalies are calculated with respect to 1971-1990 climatology. Anomalies are available for 9 standard levels (850, 700, 500, 300, 200, 150, 100, 50, 30hPa) as well as tropospheric (850 - 300hPa) and stratospheric (150 - 30hPa) averages.\r\nThe data are degree Celsius anomalies from 1970-1990 means. Anomalies are calculated for each of about 200 sonde stations worldwide and grid values derived from these. \r\n\r\nHADRT2.2 is an eigenvector reconstructed grid data set from 1958 - 2000, on a 10 degree latitude by 20 degree longitude grid, created from HadRT2.1. The eigenvector reconstruction was used to infill missing seasons or years in boxes with 70% of seasonal or annual data available. \r\n\r\nThis dataset has been superseded by the HadAT dataset also available from CEDA.",
    "keywords": "Met Office, HADRT, radiosonde, temperature anomalies, Hadley",
    "publicationState": "published",
    "dataPublishedTime": "2015-12-19T18:38:41",
    "doiPublishedTime": null,
    "updateFrequency": "notPlanned",
    "status": "obsolete",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/13853/?format=api",
        "dataPath": "/badc/ukmo-hadrt/data/HadRT2.2",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 6273826,
        "numberOfFiles": 9,
        "fileFormat": "The data are ASCII formatted (plain text and \"human\" readable) see Met Office HadRT2.2 data format information in docs for more information.\r\n"
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/3709/?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/21787/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25388/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25877/?format=api"
    ],
    "dataLineage": "Data obtained for the period from 1958 to July 2004, were provided as is by the Met Office Hadley Centre, for archiving at the BADC.",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8733/?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/2207/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/53109/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/53107/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/53108/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/53106/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/53110/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/53111/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/53112/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/53113/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/53114/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/55480/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148643/?format=api"
    ],
    "procedureAcquisition": null,
    "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/14358/?format=api",
    "procedureComputation": null,
    "permissions": [
        {
            "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2568/?format=api",
            "useLimitation": null,
            "accessConstraints": null,
            "accessCategory": "restricted",
            "accessRoles": "hadrt",
            "label": "restricted: hadrt group",
            "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement.pdf",
            "licenceClassifications": "academic"
        }
    ],
    "discoveryKeywords": [
        {
            "ob_id": 1138,
            "name": "NDGO0003"
        }
    ]
}