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/34724/?format=api
{ "ob_id": 34724, "uuid": "ddcad11fd71245d3b9d0e669b3fd9169", "title": "Global dataset of co-incident TLS-derived and harvested tree biomass", "abstract": "This dataset contains aboveground biomass estimates generated using terrestrial laser scanning (TLS) techniques for different species of tree. It was used to produce the figures and statistics of the publication \"Estimating forest aboveground biomass with terrestrial laser scanning: current status and future directions\".\r\n\r\nThis dataset contains 391 entries. Each entry is a tree that was terrestrial laser scanned and consecutively harvested to assess its aboveground biomass (AGB). AGB was also obtained from allometric scaling equations. Several ancillary tree properties such as stem diameter, foliage conditions,... and scan metadata (type of scanner, pattern) are included. We refer to the tab 'headers' for an explanation and units of the respective columns. Elaborate method descriptions can be found in the publication or in the following publications, which can be found in the documentation sections", "keywords": "AGB, TLS, biomass, trees", "publicationState": "published", "dataPublishedTime": "2025-06-05T14:43:07", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/34722/?format=api", "dataPath": "/neodc/tls/data/global/tls_tree_biomass/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 52290, "numberOfFiles": 2, "fileFormat": "Excel spreadsheet" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9626/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2951/?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://api.catalogue.ceda.ac.uk/api/v2/projects/26683/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/43969/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/44328/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/44329/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30128/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169047/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169048/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169049/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169050/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169051/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169052/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169053/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169071/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169054/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169055/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169056/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169057/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169058/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169059/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169060/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169061/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169062/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169063/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169064/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169065/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169066/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169067/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169068/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169069/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169070/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/34723/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }