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/17280/?format=api
{ "ob_id": 17280, "uuid": "f99f9ca2b56d439da98356f8f2123191", "title": "FAAM B665 PIKNMIX flight, number 1: 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 during flight 1 for Met Office PIKNMIX campaigns: cloud pyhsics and radiation events project.", "keywords": "PIKNMIX, FAAM, airborne, atmospheric measurments", "publicationState": "published", "dataPublishedTime": "2014-07-14T13:38:13.409512", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/17279/?format=api", "dataPath": "/badc/faam/data/2012/b665-jan-19", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2791372581, "numberOfFiles": 55, "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/4519/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1292/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1370/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1371/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1372/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1373/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1374/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1375/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1376/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1377/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1378/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1379/?format=api", 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