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/39710/?format=api

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

{
    "ob_id": 39710,
    "uuid": "f154fc6376da4d188a5f460816f064d0",
    "title": "EQUIPT4Risk: GEOS-Chem Chemical Transport Model Output",
    "abstract": "EQUIPT4Risk GEOS-Chem model simulations as part of EQUIPT4Risk WP1 (Model simulations of the concentration of pollutants over the UK with and without additional emissions associated with the new hydrocarbon sources). A nested-grid version of the GEOS-Chem chemistry transport model (v12.6.1) at 0.5°x0.625° horizontal resolution over the domain 15W-5E, 45N-65N, with additional emissions at two Shale extraction sites, was used to evaluate the impact of additional emissions of nitrogen oxides (NOx) on surface air quality over the UK for 2019. \r\n\r\nThis dataset includes 6 files corresponding to hourly GEOS-Chem model output of surface concentrations for either gaseous (“SpeciesConc”,) or aerosol (“AerosolMass”) species for the period 2019-01-01T00:00 to 2020-01-01T00:00.\r\n\r\nOutput from three model runs are provided:\r\n (1) “baseline”: standard model output, replacing default CEDS anthropogenic emissions over Europe with EMEP 2017 emissions \r\n(2) “PNR_fracking”: the same emissions as (1), with additional NOx (as NO) emissions of 29 tonnes per year at the Preston New Road (PNR, (53.787282,-2.951474)) fracking site. \r\n(3) “BGR_fracking”: the same emissions as (1), with additional NOx (as NO) emissions of 29 tonnes per year at the British Geological Survey Kirby Misperton (BGS, (54.204185,0.892848)) fracking site.",
    "keywords": "EQUIPT4Risk GEOS-Chem, EQUIPT4Risk, WP1, pollutants",
    "publicationState": "preview",
    "dataPublishedTime": null,
    "doiPublishedTime": null,
    "updateFrequency": "notPlanned",
    "status": "ongoing",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/39711/?format=api",
        "dataPath": "/badc/deposited2023/EQUIPT4RISK",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 19686626200,
        "numberOfFiles": 7,
        "fileFormat": "Data are netCDF formatted"
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10991/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3760/?format=api",
    "nonGeographicFlag": false,
    "phenomena": [
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        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52946/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/57351/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/57352/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63361/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63362/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63363/?format=api",
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        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63371/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63372/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63373/?format=api",
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        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63378/?format=api",
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        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63411/?format=api",
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        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63441/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63442/?format=api",
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    ],
    "dataLineage": "Data were generated using the GEOS-Chem Chemical Transport Model v12.6.1 (CTM) at 0.5°x0.625° horizontal resolution over the domain 15W-5E, 45N-65N. Model output provided by L. Fakes in February 2023.",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [],
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    "permissions": [
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            "useLimitation": null,
            "accessConstraints": null,
            "accessCategory": "public",
            "accessRoles": null,
            "label": "public: None group",
            "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf",
            "licenceClassifications": "unstated"
        }
    ],
    "discoveryKeywords": []
}