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/31947/?format=api
{ "ob_id": 31947, "uuid": "a932184a525940e7acebf036e157a658", "title": "Radiative–convective equilibrium model intercomparison project model data", "abstract": "This dataset contains model data from the Radiative-Convective Equilbrium Model Intercomparison Project (RCEIMP). The experimental design consists of two domain configurations (large and small) simulated across three values of fixed, uniform sea surface temperature (295, 300, 305 K), with uniform insolation and no planetary rotation. The dataset includes contributions from atmospheric general circulation models (GCMs), single column models (SCMs), cloud-resolving models (CRMs), large eddy simulations (LES), and global cloud-resolving models (GCRMs). See documentation for further details and list of models and parameters.\r\n\r\nThe three themes that RCEIMP has been designed for are as follows:\r\n1. What is the response of clouds to warming and the climate sensitivity in RCE?\r\n2. What is the dependence of convective aggregation and tropical circulation regimes on temperature in RCE?\r\n3. What is the robustness of the RCE state, including the above results, across the spectrum of models?", "keywords": "RCEIMP, model, cloud", "publicationState": "published", "dataPublishedTime": "2020-10-12T15:30:48", "doiPublishedTime": null, "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/31944/?format=api", "dataPath": "/badc/rcemip/data/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 32340403128522, "numberOfFiles": 33594, "fileFormat": "Data are netCDF formatted." }, "timePeriod": null, "geographicExtent": null, "nonGeographicFlag": true, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1347/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3894/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6019/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6020/?format=api", 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