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/24354/?format=api

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

{
    "ob_id": 24354,
    "uuid": "2cc63c1501594226ad176e1aa958d299",
    "title": "APEX EUFAR HYPERSTRESS Flight, 2011-09-08: hyperspectral remote sensing measurements",
    "abstract": "Hyperspectral remote sensing measurements using the Airborne Prism Experiment (APEX) instrument onboard the DO228-212 /D-CFFU - DLR aircraft for the HYPERSTRESS - Use of high spatial and spectral resolution imagery to estimate water stress levels in citrus orchards project (flight reference: apex_dlr-dornier_20110908_hyperstress).\n\nData were collected over the Valencia area, eastern Spain area.\n\n\nThe APEX (Airborne Prism EXperiment) instrument is an imaging spectrometer developed by a Swiss-Belgian consortium on behalf of ESA. It is operated jointly by VITO (Belgium) and RSL (Switzerland). Please see the link to the APEX website from this record for further details.",
    "keywords": "HYPERSTRESS, EUFAR, aircraft, hyperspectral, remote sensing",
    "publicationState": "citable",
    "dataPublishedTime": "2017-01-25T16:16:40.186026",
    "doiPublishedTime": "2018-01-17T09:41:29.978797",
    "updateFrequency": "notPlanned",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/24353/?format=api",
        "dataPath": "/badc/eufar/data/projects/hyperstress/apex_dlr-dornier_20110908_hyperstress",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 9763678757,
        "numberOfFiles": 17,
        "fileFormat": "Data are netCDF and ENVI Binary formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG or JPG formatted."
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/6619/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1914/?format=api",
    "nonGeographicFlag": false,
    "phenomena": [],
    "dataLineage": "Data were collected by instrument scientists during the flight before preparation and delivery for archiving at the Centre for Environmental Data Analysis (CEDA).",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/9414/?format=api"
    ],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/19617/?format=api"
    ],
    "observationcollection_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/6382/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/24355/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99736/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99737/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99741/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99742/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99743/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99744/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/106271/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99745/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/106272/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105977/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/106273/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/106274/?format=api"
    ],
    "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/24351/?format=api",
    "procedureCompositeProcess": null,
    "procedureComputation": null,
    "permissions": [
        {
            "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api",
            "useLimitation": null,
            "accessConstraints": null,
            "accessCategory": "public",
            "accessRoles": null,
            "label": "public: None group",
            "licenceURL": "http://creativecommons.org/licenses/by/4.0/",
            "licenceClassifications": "any"
        }
    ],
    "discoveryKeywords": [
        {
            "ob_id": 1138,
            "name": "NDGO0003"
        }
    ]
}