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/27942/?format=api
{ "ob_id": 27942, "uuid": "2b62ba1cfb08460980b2587b593d136f", "title": "FAAM C165 PIKNMIX-F flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Met Office PIKNMIX campaigns: cloud pyhsics and radiation events (PIKNMIX-F) project.", "keywords": "PIKNMIX-F, FAAM, airborne, atmospheric measurments", "publicationState": "published", "dataPublishedTime": "2019-10-07T14:51:07", "doiPublishedTime": null, "updateFrequency": "asNeeded", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27941/?format=api", "dataPath": "/badc/faam/data/2019/c165-mar-26", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 6033020886, "numberOfFiles": 53, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7494/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2499/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3220/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3221/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3222/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3223/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3224/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3225/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3226/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3227/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3228/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3229/?format=api", 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