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/37744/?format=api

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

{
    "ob_id": 37744,
    "uuid": "399b0f762a004657a411a9ea7203493a",
    "title": "Model output from 1/12° global JRA55-forced integration of GO8p7 global ocean-sea ice model from 1958 to 2021",
    "abstract": "Annual, monthly and 5-day ocean and ice output from an integration of the UK Global Ocean GO8p7 configuration, based on version 4.0.4 of the NEMO (Nucleus for European Modelling of the Ocean) ocean and sea-ice model, forced by the JRA-55 (Japanese 55-year atmospheric analysis, Tsujino et al., 2018) surface field dataset. The complete dataset includes: full monthly and annual mean ocean fields; monthly mean sea ice fields; monthly and annual mean global mean scalar quantities; and 5-day mean values of a subset of 2-dimensional fields, including surface fields and bottom pressure. The present integration is on the 1/12° eORCA12 global grid. The model is initialised from an average of years 1995-2014 of the EN4 climatology (Good et al., 2013), and is integrated from 1958 to 2021. The model was run on the Archer2 HPC platform. The integrations were funded by the Natural Environment Research Council (NERC) under the Atlantic Climate System Integrated Study (ACSIS) project (NE/N018044/1).",
    "keywords": "Oceans, sea-ice, temperature, salinity",
    "publicationState": "citable",
    "dataPublishedTime": "2022-10-19T15:44:40",
    "doiPublishedTime": "2022-10-20T09:16:57",
    "updateFrequency": "notPlanned",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/37745/?format=api",
        "dataPath": "/bodc/SOC220065/GO8p7_JRA55_eORCA12",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 18019485068801,
        "numberOfFiles": 18993,
        "fileFormat": "Data are CF-Compliant NetCDF data files"
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10424/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api",
    "nonGeographicFlag": false,
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    ],
    "dataLineage": "Data are as given by the data provider, no quality control has been performed by British Oceanographic Data Centre (BODC)",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12219/?format=api"
    ],
    "projects": [
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    ],
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    "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/37741/?format=api",
    "permissions": [
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            "accessCategory": "public",
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            "label": "public: None group",
            "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/",
            "licenceClassifications": "any"
        }
    ],
    "discoveryKeywords": []
}