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/33222/?format=api

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

{
    "ob_id": 33222,
    "uuid": "119a5d4795c94d2e94f610647640edc0",
    "title": "Monthly ocean and sea-ice output from 1/4° NEMO GO6 integration forced by CORE2 data",
    "abstract": "Monthly output from an integration of the GO6 configuration of the NEMO (Nucleus for European Modelling of the Ocean) ocean and sea-ice model, forced by the CORE2 (Coordinated Ocean-ice Reference Experiments version 2.0) corrected inter-annual forcing (CIAF) surface field dataset. UK Global Ocean GO6 consists of version 3.6 of NEMO and version 5.2.1 of the CICE (Community Ice CodE) sea-ice model, and the present simulation is on the global eORCA025 1/4° grid. The ocean is initialised from a climatology based on the EN3 monthly objective analysis (Ingleby and Huddleston, 2007) averaged over years 2004–2008, and is integrated from 1958 to 2007. The model was run on the Archer supercomputing platform through the Rose/Cylc interface on Puma, and the run ID on the Puma system is u-ap795.\r\nThe 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": "2021-10-22T15:03:11",
    "doiPublishedTime": "2021-10-28T12:36:16",
    "updateFrequency": "notPlanned",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33220/?format=api",
        "dataPath": "/bodc/SOC210128/CORE2-AP795",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 2365963039496,
        "numberOfFiles": 3003,
        "fileFormat": "Data are CF-compliant NetCDF formatted"
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9129/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2868/?format=api",
    "nonGeographicFlag": false,
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    ],
    "dataLineage": "Data were generated using a Nucleus for European Modelling of the Ocean (NEMO) based model run on Archer, the national HPC platform. Data were submitted to the British Oceanographic Data Centre (BODC, NOC) and then archived at the Centre for Environmental Data Analysis (CEDA).",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
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            "accessCategory": "public",
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            "label": "public: None group",
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            "licenceClassifications": "any"
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}