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/18995/?format=api
{ "ob_id": 18995, "uuid": "6aab133aef584281b3ace9ca83fd44af", "title": "FAAM B313 NEON flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for NEON Infra-Red Camera project.", "keywords": "NEON, FAAM, airborne, atmospheric measurments", "publicationState": "published", "dataPublishedTime": "2014-07-14T13:38:11.702869", "doiPublishedTime": null, "updateFrequency": "asNeeded", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/18994/?format=api", "dataPath": "/badc/faam/data/2007/b313-aug-02", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 171575301, "numberOfFiles": 18, "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/4976/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4251/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/14474/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/14844/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/14847/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/14848/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/14850/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/14851/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/14852/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/14853/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/14854/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/14855/?format=api", 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