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/44656/?format=api
{ "ob_id": 44656, "uuid": "91e618f4a45c4d698e161aa10119cc14", "title": "WesCon: humidity profiles, liquid water paths and integrated water vapour measurement from the Met Office RPG Humpro microwave radiometer at Airfield Camp, Netheravon, v1.0 (20230419-20230919)", "abstract": "Data from the Met Office Observation-based research RPG Humpro profiling microwave radiometer deployed at Netheravon, Wiltshire (51.241°N, -1.777°W, 120 m amsl) in southern England during the summer of 2023. Netheravon formed a supersite for the Wessex Summertime Convection Experiment (WesCon)/WesCon - Observing the Evolving Structures of Turbulence (WOEST) field campaign. The dataset includes retrieved humidity profiles in addition to the liquid water paths and integrated water vapour paths using brightness temperatures measured at seven microwave frequencies between 22.24 and 31.4 GHz (this band in general being sensitive to water vapour and cloud). The liquid and vapour water path retrievals used a supplied neural network algorithm (which is trained with radiosonde data using a radiative transfer scheme). Two archived files are available, based on the time series (water vapour and liquid water) and profile (humidity) data.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included.", "keywords": "WesCon, Met Office, observation, humidity", "publicationState": "citable", "dataPublishedTime": "2025-08-07T08:12:05", "doiPublishedTime": "2025-08-07T09:51:21", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44659/?format=api", "dataPath": "/badc/woest/data/metoffice-microwave-radiometer-humpro/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3708409281, "numberOfFiles": 300, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12562/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4728/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75688/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75689/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75690/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75691/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75692/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75693/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75694/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75695/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75696/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75697/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75699/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75701/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75703/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75733/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84706/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84707/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84708/?format=api" ], "dataLineage": "Data were processed and prepared by the Met Office instrument team before delivery to the NERC EDS Centre for Environmental Data Analysis (CEDA) for long term archival.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13472/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/37501/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213851/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213852/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213853/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213854/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213855/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213856/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213857/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213858/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213859/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213878/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213861/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/44658/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2532/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ukmo_wx", "label": "restricted: ukmo_wx group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement.pdf", "licenceClassifications": "academic" } ], "discoveryKeywords": [] }