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/12421/?format=api
{ "ob_id": 12421, "uuid": "94f757d9b28846b5ac810a277a916fa7", "title": "UKCP09: Met Office gridded land surface climate observations - monthly climate variables at 5km resolution", "abstract": "This dataset contains a set of observed monthly climate variables on a 5km resolution grid. The observations are derived from 16 daily climate variables that have been averaged (e.g. daily maximum temperature) or summed (e.g. monthly total precipitation) over calendar months. The input station data originate from the Met Office Integrated Data Archive System (A version of MIDAS is also available through CEDA, although incremental developments to the database such as quality control and data recovery activities may result in some differences compared to the database at the time of production of the UKCP09 data).\r\n\r\nThe gridding process accounts for effects such as latitude, longitude, altitude, coastal influence, and the effect of urban land through the use of normalisation with respect to monthly 1961 – 1990 climate normals, and in the case of some variables a regression model. For more details about the construction see Perry and Hollis (2005). \r\n\r\nThe data are provide in CF-1.5 compliant NetCDF format. The data are additionally provided in ESRI-ascii format, suitable for ingestion in GIS applications, and a simple timeseries format for users requiring a limited number of points.", "keywords": "UKCP09, Met Office, land surface, climate observations", "publicationState": "published", "dataPublishedTime": "2017-08-21T11:38:37", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/12486/?format=api", "dataPath": "/badc/ukcp09/data/gridded-land-obs/gridded-land-obs-monthly", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 11530273862, "numberOfFiles": 16839, "fileFormat": "The data are provide in CF-1.5 compliant NetCDF format. The data are additionally provided in ESRI-ascii format, suitable for ingestion in GIS applications, and a simple timeseries format for users requiring a limited number of points." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/6748/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/674/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11484/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11485/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11486/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/21974/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51188/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51189/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52667/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52668/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54994/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54996/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54997/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55539/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55540/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55541/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55543/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55544/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55545/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55546/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55547/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55548/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55549/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55550/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62353/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79929/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79930/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79931/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79932/?format=api" ], "dataLineage": "Data were produced by the Met Office for the UKCP09 service and then prepared for archiving with Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/12420/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/12422/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/47820/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/47822/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/47821/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/47819/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/47818/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/47817/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102098/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/47823/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105207/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102099/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/24942/?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" } ] }