Observation Instance
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/6238/?format=api
{ "ob_id": 6238, "uuid": "976ced8d3b149e1d698e806bfbf05af3", "title": "HadGEM1 Control run experiment - afepc run", "abstract": "The HadGEM1 model is the Met Office Hadley centre global environment model version 1. This version of the model includes a detailed representation of the atmosphere, land surface, ocean, and cryosphere. This dataset includes a control run and a number of climate change experiments. Part of the UK Met Office Hadley Centre's contributions to the fourth assessment report of the IPCC (Intergovernmental Panel on Climate Change) was based on the HadGEM1 model. This dataset provides all the available data from the control integration (run with preindustrial levels of CO2 and other forcings) as well as output from a number of climate change experiments. The data is provided in the Met Office PP format, but tools are available to extract subsets in NetCDF and other formats.", "keywords": "", "publicationState": "published", "dataPublishedTime": "2014-09-02T14:44:57", "doiPublishedTime": null, "updateFrequency": "asNeeded", "status": "completed", "result_field": { "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/6239/?format=api", "dataPath": "/badc/hadgem1/data/afepc", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4441929130, "numberOfFiles": 20, "fileFormat": null }, "timePeriod": null, "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://catalogue.ceda.ac.uk/api/v2/phenomona/2823/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/50653/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/50654/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/50672/?format=api", 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