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/6076/?format=api

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

{
    "ob_id": 6076,
    "uuid": "365e5e62328975643e320d418bc34e95",
    "title": "Monthly Gridded Met Office Historical Marine Air Temperature (MOHMATN4) anomalies (1856-2006)",
    "abstract": "MOHMAT, (Met Office Historical Marine Air Temperature) is a gridded dataset of marine air temperature anomalies covering the period 1856-2006. The current version of the dataset is MOHMAT4, which is described in reference below (under Doc tab).\r\nMOHMAT is produced by taking in-situ measurements of MAT from ships and buoys, rejecting measurements 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. Note that only night-time data are used, because day-time data are corrupted by heat island effects. \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. MOHMAT is no longer updated.\r\n\r\nAfter gridding the anomalies, bias corrections are applied to remove spurious trends caused by changes in ship deck heights and various unusual operational practices, and the data are smoothed to reduce noise.\r\n\r\nThe data are provided by the Met Office.",
    "keywords": "SST, MOHMAT, Met Office, Hadley, anomalies",
    "publicationState": "published",
    "dataPublishedTime": "2007-02-02T17:08:47",
    "doiPublishedTime": null,
    "updateFrequency": "notPlanned",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/6077/?format=api",
        "dataPath": "/badc/ukmo-gosta/data/mohmatn4/",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 32323612,
        "numberOfFiles": 157,
        "fileFormat": "Data are ASCII formatted\r\n\r\n"
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/1777/?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/21885/?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/3935/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8754/?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/25735/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/25731/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/25729/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/25732/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/25733/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/25734/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/25736/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/25730/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/53205/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/55486/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169572/?format=api"
    ],
    "procedureAcquisition": null,
    "procedureCompositeProcess": null,
    "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/6078/?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"
        }
    ]
}