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/27475/?format=api
{ "ob_id": 27475, "uuid": "4de00ab3487b4fc99ea5a53a86715848", "title": "TOMCAT/SLIMCAT Monthly Mean Ozone Output: 1979-2016", "abstract": "This dataset contains monthly mean ozone output between 1979-2016 simulated by the TOMCAT/SLIMCAT model. \r\n\r\nThe data contains ozone and a passive odd-oxygen tracer that is set equal to the modelled chemical Ox =O(3 P)+O(1 D)+ O3 concentration on the first day every year and then advected passively without chemistry. It was simulated using the TOMCAT/SLIMCAT three-dimensional offline chemical transport model, using σ-p vertical coordinates and identical stratospheric chemistry and aerosol loading, solar flux input and surface mixing ratios of long-lived source gases. \r\n\r\nThe long-term simulation (1979-2016) was performed with a T42 horizontal resolution of approximately 2.8° latitude × 2.8° longitude and 32 levels from the surface to 60 km. The model uses horizontal winds and temperature from the reanalysis data of the European Centre for Medium-Range Weather Forecasts. \r\n\r\nThe TOMCAT/SLIMCAT model contains a detailed description of the distribution of chemical species for the troposphere and stratosphere including heterogeneous reactions on sulfate aerosols and liquid/solid polar stratospheric clouds either with a simple or full microphysical PSC scheme, as well as chemistry reactions of the oxygen, nitrogen, hydrogen, chlorine and bromine families. The model uses a hybrid σ-p or σ-θ vertical coordinate and has an option to run at different horizontal resolution forced by different meteorological reanalysis. Tracer transport uses the conservation of the second order moments scheme of Prather. Vertical advection is calculated from the divergence of the horizontal mass flux.", "keywords": "TOMCAT, SLIMCAT, Ozone,", "publicationState": "published", "dataPublishedTime": "2019-06-19T09:28:27", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27476/?format=api", "dataPath": "/badc/deposited2019/wfeng-tomcat-1979-2016/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2390758727, "numberOfFiles": 2, "fileFormat": "Data are NetCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7372/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50416/?format=api", "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/68288/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68289/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68290/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68291/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68292/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68293/?format=api" ], "dataLineage": "Data were processed by the project team and the monthly mean output is available from TOMCAT/SLIMCAT (RUN631) experiment. Data were archived as provided to the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/5002/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/11686/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30127/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114882/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114881/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114876/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114880/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114879/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114878/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114877/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114874/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114875/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/27487/?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" } ] }