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/45196/?format=api

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

{
    "ob_id": 45196,
    "uuid": "ae24a127728941bdbb10d04ecd8fbfff",
    "title": "Model output containing ocean, atmospheric and sea ice variables from the zstar_Smag simulation of the HadGEM3-GC5-LM coupled climate model (1976-2035).",
    "abstract": "This dataset contains monthly means of ocean, atmospheric and sea ice variables from a 60-year (1976-2035) integration of the HadGEM3-GC5-LM coupled model, with fixed year 2000 control atmospheric composition. The archived model output includes monthly means from the NEMO v4.0.4 ocean component on T, U, V and W grids; monthly means from the SI3 sea ice model; and monthly means from the GAL9 atmosphere-land model. In addition, five-day means of the temperature and salinity (\"T grid\") and of the meridional velocity (\"V grid\") over a ten-year period are provided: these were used to estimate the total diapycnal mixing. In this simulation the fixed biharmonic viscosity is replaced with biharmonic Smagorinsky viscosity with a coefficient CMSmag=3; it is referred to as “zstar_Smag\". The outputs were generated under the Marine LTSS: Climate Linked Atlantic Sector Science (CLASS) project funded by the Natural Environment Research Council (NERC) under reference NE/R015953/1.",
    "keywords": "climatologyMeteorologyAtmosphere, oceans, geoscientificInformation",
    "publicationState": "citable",
    "dataPublishedTime": "2025-11-07T00:00:00",
    "doiPublishedTime": "2025-11-07T00:00:00",
    "updateFrequency": "",
    "status": "final",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/45195/?format=api",
        "dataPath": "/bodc/soc251004",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 3257905640636,
        "numberOfFiles": 4740,
        "fileFormat": null
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12881/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api",
    "nonGeographicFlag": false,
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