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/40935/?format=api
{ "ob_id": 40935, "uuid": "73fea2ba3a364f2f880c57b02efcfaba", "title": "HadCM3 Climate Simulation - IPCC Special Report Emission Scenario (SRES-A1F1)", "abstract": "The SRESA1F1 simulation contained in this dataset includes forcings of green house gases (including methane) that are consistent with historical levels and the future IPCC SRESA1F1 scenario, sulfur (direct and indirect forcing, sulfur chemistry without natural DMS and SO2 background emissions; anthropogenic SO2 emissions from surface and high level only) and tropospheric/stratospheric ozone. The IPCC SRESA1F1 simulation represents the highest emissions for the IPCC SRES scenarios.\r\n \r\n This experiment produced model outputs reflecting the SRES-A1F1 emissions scenario - the highest emissions of all the SRES scenarios. The HadCM3 model was used by the Hadley Centre to provide input for the IPCC Third Assessment Report.\r\n \r\n Data members run for this experiment: ['acfxa', 'acjid', 'acjie']\r\n\r\n Boundary conditions: All anthropogenic forcing from multiple species of greenhouse gases as defined for the IPCC SRESA1F1 emissions scenario, sulfur (direct and indirect forcing, sulfur chemistry without natural DMS and SO2 background emissions; anthropogenic SO2 emissions from surface and high level only) and tropospheric/stratospheric ozone.\r\n\r\n Initial conditions: Experiment was initialised using one of the HadCM3 Historic Anthropogenic Forcing run ensemble elements (run: abqzd - 1989-12-01).\r\n\r\n More detailed metadata on the model configuration and parameters is available in XML format.", "keywords": "HadCM3-SRESA1F1, HadCM3, forcings, IPCC, SRESA1F1", "publicationState": "published", "dataPublishedTime": "2024-04-16T08:12:20", "doiPublishedTime": null, "updateFrequency": "notPlanned", 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/71491/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/71492/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/71493/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/72171/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/72172/?format=api" ], "dataLineage": "Data from the UK Met Office Hadley Centre. Dataset directory structure was reordered by CEDA staff in November 2023 to place experiment runs within a directory of their associated experiment.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13847/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/3791/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199050/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199051/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199052/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199053/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199054/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199055/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199056/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199057/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199058/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/40937/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2613/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "link", "label": "restricted: link group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement.pdf", "licenceClassifications": "academic" } ], "discoveryKeywords": [] }