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/39226/?format=api

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

{
    "ob_id": 39226,
    "uuid": "25f1dfeed5224e26a132bba15bb91f38",
    "title": "MOSAiC: Wind profiles from HALO Doppler lidar -version 1.0",
    "abstract": "Aerosol backscatter and along-beam Doppler velocities from a HALO Doppler lidar on board the German icebreaker Polarstern ship for the Multidisciplinary drifting Observatory for Study of Arctic Climate (MOSAIC) project. \r\n\r\nThe University of Leeds participation in MOSAiC was funded by the Natural Environment Research Council (NERC, grant: NE/S002472/1) and involved instrumentation from the Atmospheric Measurement and Observations Facility of the UK's National Centre for Atmospheric Science (NCAS AMOF).",
    "keywords": "MOSAIC, lidar, AMOF NE/S002472/1",
    "publicationState": "citable",
    "dataPublishedTime": "2022-11-18T14:37:15",
    "doiPublishedTime": "2022-11-18T16:08:45",
    "updateFrequency": "notPlanned",
    "status": "ongoing",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/42835/?format=api",
        "dataPath": "/badc/ncas-mobile/data/ncas-lidar-dop-1/20191006_mosaic/v1.0",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 349251084497,
        "numberOfFiles": 11051,
        "fileFormat": "Data are netCDF formatted."
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10879/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3687/?format=api",
    "nonGeographicFlag": false,
    "phenomena": [
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62716/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62717/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62718/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62719/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62720/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62721/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62722/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62723/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62724/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62725/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62726/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62727/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91927/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91928/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91929/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91930/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/91931/?format=api"
    ],
    "dataLineage": "Data were collected, quality controlled and prepared for archiving by the PI before upload to the Centre for Environmental Data Analysis (CEDA) for long term archiving.",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12295/?format=api"
    ],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/37021/?format=api"
    ],
    "observationcollection_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/39477/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190962/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190963/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190964/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190965/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190966/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190967/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190968/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190969/?format=api"
    ],
    "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/39228/?format=api",
    "procedureCompositeProcess": null,
    "procedureComputation": null,
    "permissions": [
        {
            "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api",
            "useLimitation": null,
            "accessConstraints": null,
            "accessCategory": "registered",
            "accessRoles": null,
            "label": "registered: None group",
            "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/",
            "licenceClassifications": "any"
        }
    ],
    "discoveryKeywords": []
}