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/7735/?format=api

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

{
    "ob_id": 7735,
    "uuid": "f9d3bcebe84cfb4ef8dbac14a9fecca0",
    "title": "NAMBLEX: Airborne Atmospheric Chemistry Samples Data from the D-CALM Canister Sampler on-board the NERC DO228-101 D-CALM Aircraft",
    "abstract": "The North Atlantic Marine Boundary Layer Experiment (NAMBLEX) campaign was conducted at Mace Head in Ireland from 24 July 2002 to 3 September 2002. During this campaign a suite of instruments, including several from the Universities Facility for Atmospheric Measurements (UFAM). This dataset consists of airborne atmospheric chemistry samples from the D-CALM Canister Sampler on-board the NERC DO228-101 D-CALM Aircraft. Flights took place on the 8th and 10th August 2002.",
    "keywords": "NAMBLEX, Atmospheric Chemistry, Airborne Atmospheric Measurements",
    "publicationState": "published",
    "dataPublishedTime": "2007-03-01T19:44:57",
    "doiPublishedTime": null,
    "updateFrequency": "notPlanned",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/7736/?format=api",
        "dataPath": "/badc/namblex/data/dcalm-canister-sampler/",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 11961,
        "numberOfFiles": 3,
        "fileFormat": "Data are NASA-Ames 1001 formatted"
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/3486/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/698/?format=api",
    "nonGeographicFlag": false,
    "phenomena": [
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1331/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1332/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1333/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1334/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1337/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1339/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1612/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1615/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1616/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3881/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3911/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11479/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11480/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/21971/?format=api"
    ],
    "dataLineage": "Data were obtained by the NERC DO228-101 D-CALM Aircraft crew in August 2002. Data provided as is by the NAMBLEX campaign participants to the BADC for archiving.",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/4999/?format=api"
    ],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/7595/?format=api"
    ],
    "observationcollection_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/7592/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/32082/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/32080/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/32084/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/32085/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/32087/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/32086/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/32083/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/32081/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45354/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/45355/?format=api"
    ],
    "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/7737/?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"
        }
    ]
}