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/6211/?format=api
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 6211,
    "uuid": "fce4e4ff02a081754de71a4a62a14927",
    "title": "Met Office Hadley Centre Global Gridded Mean Sea Level Pressure (HadSLP1) data (1871-1998)",
    "abstract": "The Met Office Hadley Centre produced the HadSLP1 dataset which replaces the Global Mean Sea Level Pressure (GMSLP) data sets, and is a unique combination of monthly globally-complete fields of land and sea pressure observations a 5 degree latitude-longitude grid from 1871 to 1998.\r\n\r\nThe advantages of HadSLP1 over GMSLP2 are an improved land station data base, new interpolation scheme and the incorporation of local detail while safeguarding against random errors. Like GMSLP2, HadSLP1 was developed by Tracy Basnett and David Parker, in collaboration with R.J. Allan (previously at CSIRO and now at the Met Office) and M.J. Salinger (NIWA).\r\n\r\nMarine observations were taken from the Met Office Marine Data Bank (MDB) and from the NOAA Comprehensive Ocean-Atmosphere Data Set (COADS) (Woodruff et al, 1987). The MDB data were given priority in the blend, which is described in Basnett and Parker (1997). Land observations are a combination of data obtained from CSIRO (Australia), NIWA (New Zealand), CRU (University of East Anglia), GHCN, and operationally-received \"CLIMAT\" messages. The latter were used mainly for updating station series and for the Arctic.\r\n\r\nHadSLP1 pressures are reconstructed using a reduced-space optimal interpolation procedure, followed by superposition of quality-improved gridded observations onto the reconstructions to restore local detail. \r\n",
    "keywords": "Met Office, Hadley,MSLP, HadSLP, GMSLP",
    "publicationState": "published",
    "dataPublishedTime": "2007-02-03T01:33:29",
    "doiPublishedTime": null,
    "updateFrequency": "notPlanned",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/6212/?format=api",
        "dataPath": "/badc/ukmo-gmslp/data/HadSLP1/",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 61880391,
        "numberOfFiles": 4,
        "fileFormat": "ASCII"
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/1823/?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/13194/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25956/?format=api"
    ],
    "dataLineage": "Data files from 1871 to 1998 acquired from the Hadley Centre directly, as is, and stored at the BADC.",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/4037/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/8746/?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/6207/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/26294/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/26295/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/26299/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/26301/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/26296/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/26298/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/53180/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/26297/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/53181/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/53184/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/53182/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/55472/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/53183/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169533/?format=api"
    ],
    "procedureAcquisition": null,
    "procedureCompositeProcess": null,
    "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/6213/?format=api",
    "permissions": [
        {
            "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2594/?format=api",
            "useLimitation": null,
            "accessConstraints": null,
            "accessCategory": "restricted",
            "accessRoles": "gmslp",
            "label": "restricted: gmslp group",
            "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement.pdf",
            "licenceClassifications": "academic"
        }
    ],
    "discoveryKeywords": [
        {
            "ob_id": 1138,
            "name": "NDGO0003"
        }
    ]
}