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/1626/?format=api
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 1626,
    "uuid": "242816b6bbc51d6db03afd9d5f5d2857",
    "title": "Fundacion Entropika High Resolution Monthly Means of Atmospheric Variables over the Amazon Basin (1972-2009) version 1.0",
    "abstract": "This dataset holds the high resolution (0.5 x 0.5 deg; 8 vertical levels) monthly means of 5 atmospheric variables (air temperature, pressure, water vapour pressure, vertical velocity and horizontal wind speed) over the Amazon Basin for the period 1972 to 2009 (version 1.0). This data is public and citable (DOI: 10.5285/2dfce039-cd71-43b3-bed4-98978e78f1bb).\r\nIt was constructed using the predictive capabilities of Time-Delayed Neural Networks (TDNN) method. Thirty years of monthly averages of current climate data (1971-2000) of the NCEP/NCAR reanalysis dataset were used to train the TDNNs, which were then validated on the next 10 years (2001-2010). Once validated, the downscaling model was fed with the higher resolution CRU TS3.1 data and SRTM-1km elevation data (thereby obtaining the higher resolution dataset).",
    "keywords": "Fundacion Entropika, Amazon",
    "publicationState": "citable",
    "dataPublishedTime": "2013-08-22T03:53:03",
    "doiPublishedTime": "2013-08-24T23:00:00",
    "updateFrequency": "notPlanned",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/1627/?format=api",
        "dataPath": "/badc/fe-amazon/data/version_1.0/",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 410452911,
        "numberOfFiles": 18246,
        "fileFormat": "The files are ASCII however these are structured in the ArcINFO format with the file extension .asc  (i.e. the files can be read immediately in ArcGIS. \r\nPlease see details of the File Format and units under \"Docs\"."
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/467/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/29/?format=api",
    "nonGeographicFlag": false,
    "phenomena": [
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/21769/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/21780/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/21978/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25388/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25880/?format=api"
    ],
    "dataLineage": "Compressed data files were submitted to the BADC in August 2013. Data files were extracted and archived at the BADC. Compressed files were also renamed to follow the BADC file name convention. The metadata was submitted as a text file to the BADC and archived in the doc directory. A DOI was issued for version 1.0.",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1204/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/1205/?format=api"
    ],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/1628/?format=api"
    ],
    "observationcollection_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/1625/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/5023/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/5025/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/5026/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/5024/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/41005/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/44829/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/5022/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/44830/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/49039/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/49040/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/55026/?format=api"
    ],
    "procedureAcquisition": null,
    "procedureCompositeProcess": null,
    "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/1629/?format=api",
    "permissions": [
        {
            "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2565/?format=api",
            "useLimitation": null,
            "accessConstraints": null,
            "accessCategory": "public",
            "accessRoles": null,
            "label": "public: None group",
            "licenceURL": "http://creativecommons.org/licenses/by/3.0/",
            "licenceClassifications": "any"
        }
    ],
    "discoveryKeywords": [
        {
            "ob_id": 1138,
            "name": "NDGO0003"
        }
    ]
}