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/30285/?format=api
{ "ob_id": 30285, "uuid": "f742c505c935467ebb4cf89a611a4436", "title": "GOCCP, DARDAR and PM-L2 cloud-top-phase product ensemble (GDP): Combination of instant cloud phase retrievals of A-Train lidar, radar, radiometer and polarimeter.", "abstract": "This dataset contains a collocation of three different A-Train cloud phase products on a 2x30 grid (latxlon): The GCM-Oriented Cloud Calipso Product (GOCCP v3.0), the liDAR-raDAR (DARDAR-MASK v2.0) product, and the Polarization & Anisotropy of Reflectances for Atmospheric Sciences coupled with Observations from a Lidar (PARASOL) + Aqua/MODIS combination (PM-L2) product.\r\n\r\nTo better understand the differences in cloud glaciation around the globe, liquid and ice cloud tops around the globe were counted, as observed from four different space-borne instruments (lidar, radar, radiometer and polarimeter) during four years. The top pixels of each product were selected and binned into 3 K temperature intervals. With this data, an algorithm was applied to determine the most probable thermodynamic phase at cloud top based on the different cloud-phase products on a 2x30 grid (latxlon). The \"GDP2\" ensemble was produced using the mode between the three different binary classifications (ice/liquid), provided that all three products are available at each timestep. The \"GDP3\" ensemble is a subselection of the GDP2 ensemble, containing only timesteps where all three products agree. The \"GP\"(GOCCP and PM-L2), \"DP\"(DARDAR and PM-L2) and \"GD\"(GOCCP and DARDAR) ensembles contain only timesteps where two products agree.", "keywords": "cloud, phase, top, GOCCP, DARDAR, PM-L2", "publicationState": "published", "dataPublishedTime": "2020-05-19T08:32:12", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/30286/?format=api", "dataPath": "/badc/deposited2020/cloud-top-phase/data/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1255751945, "numberOfFiles": 1245, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8243/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2622/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62501/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70689/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83080/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83081/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83082/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83083/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83084/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83085/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83086/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83087/?format=api" ], "dataLineage": "Data were gathered, quality controlled, and processed for archiving by the scientist before uploading to the Centre for Environmental Data Analysis (CEDA) for long term archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30304/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130878/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130879/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130880/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130881/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130882/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130883/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130885/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130884/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168912/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/30288/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }