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/46180/?format=api
{ "ob_id": 46180, "uuid": "cb437b7efe664348b8aab3b6a86e035c", "title": "SPLICE project: Spectral information for oak and hazel, Alice Holt Forest, Hampshire, UK, July 2023", "abstract": "This dataset contains spectral information collected within the Alice Holt Forest. This work was conducted as part of a wider field campaign examining photosynthesis and forest structure across the Alice Holt site.\r\n\r\nData were collected between from 18th-20th July 2023. Measurements were taken from each leaf only during the day.\r\n\r\nFiles are provided following the naming convention H#_B#_C#_S.000X.sig. In this, T’ or ‘H’ shows the tree or understory (Hazel) measurement, and the platform, branch, and leaf-cluster are given (#). The final number denotes measurement, with 5 (X) measurements taken from each cluster, each from a different leaf in the middle avoiding the midvein and any damaged areas. Measurements were not taken for all branches or leaf-clusters, as some branches were taken down by wind between labelling and the measurement period.\r\n\r\nRaw data are provided in 128 .sig files. Raw data were processed in python using Specdal and FieldSpecUtils packages. First, regions of spectrometer overlap (1000 and 1800 nm) were averaged and spliced. Next, spectra were linearly interpolated to correspond to wavelengths of 1nm spacing. Then, the relative reflectance spectra were multiplied by the white reference panel’s known laboratory calibrated reflectance profile to yield absolute reflectance. The processed data are provided in Alice_Holt_Hyperspectral.csv.", "keywords": "SPLICE, Spectra, Trees, Oak, Hazel, Hampshire", "publicationState": "published", "dataPublishedTime": "2026-08-13T10:11:13", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/46181/?format=api", "dataPath": "/neodc/splice/data/SPLICE_Field_Data_Spectrometer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 11028550, "numberOfFiles": 133, "fileFormat": "This dataset contains 128 .sig files and one .csv file, with a total size of 10 MB.\r\nFile Structure: The Alice_Holt_Hyperspectral.csv is organized by wavelength (nm), and sample (as given in the\r\nfilename" }, "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/13314/?format=api", "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/5189/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://catalogue.ceda.ac.uk/api/v2/projects/45716/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://catalogue.ceda.ac.uk/api/v2/rpis/220541/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/220542/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/220543/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/220544/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/220545/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/220546/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/220551/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/220552/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/220553/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/220554/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://catalogue.ceda.ac.uk/api/v2/composites/46185/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://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, attribution required" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }