{"help":"Return the metadata of a dataset (package) and its resources. :param id: the id or name of the dataset :type id: string","success":true,"result":[{"id":"0af25c00-cb45-4a00-9c4a-3764a7e60a07","name":"uncorrected-subhourly-meteorological-time-series-climate-stations-and-eddy-covariance-1","title":"Uncorrected Subhourly Meteorological Time Series for Climate Stations and Eddy Covariance Stations in Northern Ghana and Southern Burkina Faso - October 2012 to October 2016 - Version 1","author":"Jan Bliefernicht","author_email":"jan.bliefernicht@geo.uni-augsburg.de","maintainer":"WASCAL Scientific Research Data Catalog ","maintainer_email":"sysadmin@wascal.org","license_title":"https:\/\/opendatacommons.org\/licenses\/odbl\/1.0\/","notes":"\u003Cp\u003EThe meteorological dataset consists of uncorrected half-hourly meteorological measurements for seven climate stations and three eddy covariance stations. The stations belong to the hydro-meteorological network established for the Vea and Sissili watershed in Southern Burkina Faso and Northern Ghana. The dataset contains seven meteorological variables: the mean incoming shortwave radiation [W\/m2], the mean incoming longwave radiation [W\/m2], the mean air temperature [\u00b0C], the mean horizontal wind speed [m\/s], the mean horizontal wind direction [\u00b0], the mean air pressure [hPa], the mean relative humidity [g\/kg] and the total precipitation amount [mm]. The data set is available from October 2012 to October 2016. More recent informatoin and other meteorological variables such as heat fluxes can be provided by request. Further information about the data sets and the meteorological network will be given in a future publication which was recently submitted to a special issue on \u201cHydrological Observatories\u201d of the Vadose Zone Journal.\u003C\/p\u003E\n","url":"https:\/\/wascal-dataportal.org\/?q=dataset\/uncorrected-subhourly-meteorological-time-series-climate-stations-and-eddy-covariance-1","state":"Active","log_message":"Update to resource \u0027Uncorrected Subhourly Meteorological Time Series for Climate Stations and Eddy Covariance Stations in Northern Ghana and Southern Burkina Faso - October 2012 to October 2016 - Version 1\u0027","private":true,"revision_timestamp":"Tue, 03\/05\/2024 - 02:50","metadata_created":"Tue, 09\/10\/2019 - 08:45","metadata_modified":"Tue, 03\/05\/2024 - 02:50","creator_user_id":"814bc5e9-b00b-4f14-843d-386f7271aae3","type":"Dataset","resources":[{"id":"c4208eab-b254-41bc-95ca-06249fc9834c","revision_id":"","url":"","description":"\u003Cp\u003EThe meteorological dataset consists of uncorrected half-hourly meteorological measurements for seven climate stations and three eddy covariance stations. The stations belong to the hydro-meteorological network established for the Vea and Sissili watershed in Southern Burkina Faso and Northern Ghana. The dataset contains seven meteorological variables: the mean incoming shortwave radiation [W\/m2], the mean incoming longwave radiation [W\/m2], the mean air temperature [\u00b0C], the mean horizontal wind speed [m\/s], the mean horizontal wind direction [\u00b0], the mean air pressure [hPa], the mean relative humidity [g\/kg] and the total precipitation amount [mm]. The data set is available from October 2012 to October 2016. More recent informatoin and other meteorological variables such as heat fluxes can be provided by request. Further information about the data sets and the meteorological network will be given in a future publication which was recently submitted to a special issue on \u201cHydrological Observatories\u201d of the Vadose Zone Journal.\u003C\/p\u003E\n","format":"csv","state":"Active","revision_timestamp":"Tue, 03\/05\/2024 - 02:50","name":"Uncorrected Subhourly Meteorological Time Series for Climate Stations and Eddy Covariance Stations in Northern Ghana and Southern Burkina Faso - October 2012 to October 2016 - Version 1","mimetype":"csv","size":"","created":"Tue, 09\/10\/2019 - 08:48","resource_group_id":"","last_modified":"Date changed  Tue, 03\/05\/2024 - 02:50"}],"tags":[{"id":"4cd6e1e1-b95c-4203-b553-a5aae63928af","vocabulary_id":"2","name":"Climate"}]}]}