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/33121/?format=api

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

{
    "ob_id": 33121,
    "uuid": "f5a2bbcadec2428cab157653a7039919",
    "title": "BBUBL: airborne meteorological measurements from various avian sensor packages for flights in 2018-19 over the Birmingham conurbation",
    "abstract": "This dataset contains data from Avian-Meteorology-Instrument Packages (AvMIPs) from a series of flights over Birmingham as part of the Biotelemetry/Bio-aerial-platforms for the Urban Boundary Layer (BBUBL) project (NERC grant: NE/N003195/1), also known as City Flocks. The flights took place in 2018 and 2019.\r\n\r\nThe BBUBL project utilised Biotelemetry/bio-aerial-platforms as a novel and practicable solution to the data paucity above urban rooftops in the Urban Boundary Layer. The project developed a suite of low-cost Avian-Meteorology-Instrument Packages (AvMIPs) for ensemble deployment in Birmingham as a suitably large and heterogeneous test case.\r\n\r\nA range of different sensor packages were used which were subsequently further characterised through air-tunnel tests. See Thomas et al. (2018) citation (DOI:10.1175/BAMS-D-16-0181.1) listed in the online resources section of this record for further details, including a precursor system flown on a larger bird species. In summary, temperature sensors were compared against U.K. Accreditation Service (UKAS)-accredited sensors in a controlled temperature chamber (WKL 34/40; Weiss Technik, Belgium and Germany) and in ambient conditions at the University of Birmingham weather station.\r\n\r\nAdditional material by Thomas et al. (2018) included in the online resource section of this record provide additional material regarding the project and instrumentation usage.\r\n\r\nNote, within the data there are a range of sensor packet and bird IDs used to denote the different bird-sensor package combinations used. A range of sensor packets were used, with one lost and others found unusable, resulting in the sensor packet numbers shown in the data. Bird ID were taken from the bird ring numbers unless clashes existed, in which case an alternative two digit number was used, therefore are not consecutive and no other data from other bird and sensor package combinations are available.",
    "keywords": "avian, meteorology, urban",
    "publicationState": "published",
    "dataPublishedTime": "2023-03-03T15:32:44",
    "doiPublishedTime": null,
    "updateFrequency": "notPlanned",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37154/?format=api",
        "dataPath": "/badc/deposited2021/bbubl/data/bham-avian-sensor",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 102093452,
        "numberOfFiles": 102,
        "fileFormat": "Data are netCDF formatted."
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10274/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2806/?format=api",
    "nonGeographicFlag": false,
    "phenomena": [
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        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61654/?format=api",
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        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63212/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63213/?format=api",
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    ],
    "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [
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    ],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/32757/?format=api"
    ],
    "observationcollection_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/33079/?format=api"
    ],
    "responsiblepartyinfo_set": [
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    ],
    "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/37155/?format=api",
    "procedureCompositeProcess": null,
    "procedureComputation": null,
    "permissions": [
        {
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            "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": []
}