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/46160/?format=api

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

{
    "ob_id": 46160,
    "uuid": "2de684c1211e4d89a5deba150eeb3689",
    "title": "Model output data to support Evaluation of a simplified double-moment aerosol scheme (SOL/INSOL) using satellite, airborne and ground based observations over the UK.",
    "abstract": "This dataset contains the [expand the acronym here]UM-RAL3.3 model output needed to reproduce figures and tables in \"Evaluation of a simplified double-moment aerosol scheme (SOL/INSOL) using satellite, airborne and ground based observations over the UK\" by Angela Mynard, Anthony C Jones, Joseph Carton-Kelly, Paul Field, Steven J Able and Florent Fabien Malavelle, submitted to Geoscientific Model Development, July 2026. This data supports reproduction of the model aspect of the figures and tables only. See paper for observational data sources.\r\n\r\nThe data consist of the main case study, sensitivity experiments and forecast lead time experiments.",
    "keywords": "",
    "publicationState": "citable",
    "dataPublishedTime": "2026-07-30T11:28:53",
    "doiPublishedTime": "2026-07-30T11:29:12.939151",
    "updateFrequency": "",
    "status": "ongoing",
    "result_field": {
        "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/46161/?format=api",
        "dataPath": "/badc/deposited2026/aerosol_solinsol_paper_data",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 94081745,
        "numberOfFiles": 14,
        "fileFormat": "NetCDF"
    },
    "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/13296/?format=api",
    "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/5187/?format=api",
    "nonGeographicFlag": false,
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    "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).",
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    "language": "English",
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}