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/8225/?format=api
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 8225,
    "uuid": "afffd9d74f29f7a768e52d0945860c21",
    "title": "Disaster Monitoring Constellation (DMC) UK imagery",
    "abstract": "The Disaster Monitoring Constellation (DMC) is a satellite series built by the Surrey Satellite Technology ltd (SSTL) and run by DMC International Imaging (DMCII). The DMC data archive contains data from the first (DMC-6) and second generation (DMC-6-22) UK satellites (which were part of the DMC), having multitemporal coverage for most parts of the UK for each year since 2007. The Landmap project collected the best available DMC images as a single coverage of most of the UK for each year from 2007 to 2010. The resolution provided by the second generation satellites and first generation satellites is 22m and 32m respectively, with data in green, red and Near InfraRed (NIR) bands collected. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC. The DMC is a constellation of small satellites that was formed by national governments and organisations for coordinating satellite imaging campaigns to assess and mitigate natural disasters with more up to date and timely imagery. The DMC programme started by launching Algeria's satellite \"AlSat-1\" in the year 2002. This first satellite was soon joined by the satellites of the British National Space Centre, Nigeria and Turkey forming the four satellite constellation. Later, China and Spain also became a part of the DMC mission.\r\n\r\nWhen using these data please also add the following copyright statement: © DMC International Imaging Ltd yyyy",
    "keywords": "",
    "publicationState": "working",
    "dataPublishedTime": null,
    "doiPublishedTime": null,
    "updateFrequency": "notPlanned",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/8226/?format=api",
        "dataPath": "/neodc/landmap/data/optical/dmc",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 52549763855,
        "numberOfFiles": 412,
        "fileFormat": "&lt;div property=\"cedacat:formats\"&gt;\r\nThe data are archived in the directory structure of region/year/format/data. The data are available in GeoTiff format (with GeoTiff world files (.tfw) which are data files that are used to geo-reference images to an appropriate projection scheme) and ecw (Enhanced Compression Wavelet) format. Geotiff files are TIFF files which have geographic metadata embedded as tags within the TIFF file. The geographic metadata can then be used to position the image in the correct location and geometry on the screen of a geographic information display. They 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;. The ecw (Enhanced Compression Wavelet) files are compressed images and can also be opened in most image viewing/editing software, including open/free software such as &lt;a href=\"http://www.hexagongeospatial.com/products/remote-sensing/erdas-er-viewer\"&gt;Erdas ER viewer&lt;/a&gt;\r\n&lt;/div&gt;\r\n\r\n\r\n"
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/2355/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/184/?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/5298/?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"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/33173/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/33174/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/33175/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/33176/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/43274/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/33172/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/43276/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108876/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/43275/?format=api"
    ],
    "procedureAcquisition": null,
    "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/8236/?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": []
}