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/8285/?format=api
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 8285,
    "uuid": "cf6e14075d6f66fd44cc0e1391a01852",
    "title": "TOPSAT (Tactical Operational Satellite) imagery acquired by Landmap",
    "abstract": "Topsat images acquired by the Landmap project from Infoterra are available for selected areas in the following countries and locations: Albania, Argentina, Armenia, Botswana, Cameroon, China, Croatia, Egypt, Farasan Islands, Ghana, Honduras, Iraq, Kazakhstan, Krakatau, Mali, Mexico, Nigeria, Nile Delta, Palestine, Patagonia, Russia and Santa Cruz Island. Data are available as panchromatic or multispectral, in Tiff, ecw (Enhanced Compression Wavelet) and JPEG formats. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC.",
    "keywords": "",
    "publicationState": "published",
    "dataPublishedTime": "2014-08-13T10:40:19",
    "doiPublishedTime": null,
    "updateFrequency": "notPlanned",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/8286/?format=api",
        "dataPath": "/neodc/landmap/data/optical/topsat",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 8660630035,
        "numberOfFiles": 972,
        "fileFormat": "&lt;div property=\"cedacat:formats\"&gt;\n&lt;div class=\"formats\"&gt;Data availability and file format&lt;/div&gt;\n&lt;p&gt;Data are available as panchromatic (image-xxxx-pan) or multispectral (image-xxxx-ms), in Tiff, ecw (Enhanced Compression Wavelet) and JPEG formats. Data were collected between November 2007 and August 2009. The data are separated by location.&lt;/p&gt;\n&lt;p&gt;Tiff files can be opened by most Geographic Information Systems (GIS) and Image Processors (IP) such as the freely available &lt;a href=\"http://www.brockmann-consult.de/cms/web/beam/\"&gt;Basic ERS &amp;amp; Envisat (A)ATSR and Meris Toolbox (BEAM)&lt;/a&gt;, and ecw files can be opened in most image viewing/editing software, including open/free software such as &lt;a href=\"http://www.hexagongeospatial.com/products/ERDASERViewer/Details.aspx\"&gt;Erdas ER viewer&lt;/a&gt;. JPEG images can be opened by most basic image viewers.&lt;/p&gt;\n&lt;/div&gt;\n\n\n"
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/2372/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api",
    "nonGeographicFlag": false,
    "phenomena": [],
    "dataLineage": "Data collected and prepared by the Landmap team before a copy of the data were obtained by NEODC directly from Landmap.",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/5320/?format=api"
    ],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/8044/?format=api"
    ],
    "observationcollection_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/8212/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30129/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/33253/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/33254/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/33255/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/33256/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/43897/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/33252/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/43899/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108887/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/43898/?format=api"
    ],
    "procedureAcquisition": null,
    "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/8292/?format=api",
    "procedureComputation": null,
    "permissions": [
        {
            "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2576/?format=api",
            "useLimitation": null,
            "accessConstraints": null,
            "accessCategory": "noaccess",
            "accessRoles": null,
            "label": "noaccess: None group",
            "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf",
            "licenceClassifications": "unstated"
        }
    ],
    "discoveryKeywords": [
        {
            "ob_id": 1138,
            "name": "NDGO0003"
        }
    ]
}