cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.975928
title: Meteorological data of Time Series Station Spiekeroog for 2006

description: The Time Series Station Spiekeroog (TSS) was setup in 2002, in the tidal inlet between the East Frisian Islands of Langeoog and Spiekeroog in the Southern German Bight, at position 53°45′01.0″ N, 007°40′16.3″ E. The aim was to ensure the continuous measurement of physical, biological, chemical and meteorological parameters, even under extreme weather conditions such as storms, ice, and storm surges. The TSS was financed as part of the Deutsche Forschungsgemeinschaft (DFG) research unit BioGeoChemistry of Tidal Flats and the Ministry for Science and Culture of the Land of Lower Saxony (MWK). Here, air temperature, air pressure, relative humidity, wind speed and wind direction were measured in the year 2006. All raw data were revised and corrected for steps as range, outliers and stationarity checks. A detailed description of the Time Series Station Spiekeroog, its structure and instrumentation can be found in Zielinski et al. (2022) and in Reuter et al. (2009).
DOI: 10.1594/pangaea.975871
title: Oceanographic data of Time Series Station Spiekeroog for 2017

description: The Time Series Station Spiekeroog (TSS) was setup in 2002, in the tidal inlet between the East Frisian Islands of Langeoog and Spiekeroog in the Southern German Bight, at position 53°45′01.0″ N, 007°40′16.3″ E. The aim was to ensure the continuous measurement of physical, biological, chemical and meteorological parameters, even under extreme weather conditions such as storms, ice, and storm surges. The TSS was financed as part of the Deutsche Forschungsgemeinschaft (DFG) research unit BioGeoChemistry of Tidal Flats and the Ministry for Science and Culture of the Land of Lower Saxony (MWK). Here, sea level, water temperature and conductivity were measured in the year 2017. All raw data were revised and corrected for steps as range, outliers and stationarity checks. Water temperature and conductivity were measured in five different depths (4 m, 5.5 m, 7.5 m, 9.5 m, 11.5 m below MSL). Due to marine biofouling at the sensors and accompanying drift of instruments, the measured water temperature and conductivity data were corrected via linear regression by using reference data. As the water column in this region is well mixed and the water depth of the measurements varies with the tide, data from all five depths were averaged and referenced to a water depth of 4 m. Absolute salinity was derived from conductivity, temperature and pressure data according to TEOS 10. Data were smoothed and a quality flag was assigned for water temperature and salinity. The quality flags refer to the standard for data quality control of SeaDataNet https://www.seadatanet.org/ (0 = raw data, 1 = good data, 2 = probably good data, 3 = questionable data). A detailed description of the Time Series Station Spiekeroog, its structure and instrumentation can be found in Zielinski et al. (2022) and in Reuter et al. (2009).
DOI: 10.1594/pangaea.810007
title: Offsets determined to derive new composite depth for ODP Site 108-658 cores

description: Depth, sediment = orig. ODP mbsfOffsets determined to derive new composite depth for ODP Site 658 cores used in this study.
DOI: 10.1594/pangaea.975873
title: Oceanographic data of Time Series Station Spiekeroog for 2021

description: The Time Series Station Spiekeroog (TSS) was setup in 2002, in the tidal inlet between the East Frisian Islands of Langeoog and Spiekeroog in the Southern German Bight, at position 53°45′01.0″ N, 007°40′16.3″ E. The aim was to ensure the continuous measurement of physical, biological, chemical and meteorological parameters, even under extreme weather conditions such as storms, ice, and storm surges. The TSS was financed as part of the Deutsche Forschungsgemeinschaft (DFG) research unit BioGeoChemistry of Tidal Flats and the Ministry for Science and Culture of the Land of Lower Saxony (MWK). Here, sea level, water temperature and conductivity were measured in the year 2021. All raw data were revised and corrected for steps as range, outliers and stationarity checks. Water temperature and conductivity were measured in five different depths (4 m, 5.5 m, 7.5 m, 9.5 m, 11.5 m below MSL). Due to marine biofouling at the sensors and accompanying drift of instruments, the measured water temperature and conductivity data were corrected via linear regression by using reference data. As the water column in this region is well mixed and the water depth of the measurements varies with the tide, data from all five depths were averaged and referenced to a water depth of 4 m. Absolute salinity was derived from conductivity, temperature and pressure data according to TEOS 10. Data were smoothed and a quality flag was assigned for water temperature and salinity. The quality flags refer to the standard for data quality control of SeaDataNet https://www.seadatanet.org/ (0 = raw data, 1 = good data, 2 = probably good data, 3 = questionable data). A detailed description of the Time Series Station Spiekeroog, its structure and instrumentation can be found in Zielinski et al. (2022) and in Reuter et al. (2009).
DOI: 10.1594/pangaea.977487
title: Land use of catchment area of Lake Łódzko-Dymaczewskie, Lake Dębno and Lake Trześniowskie in Poland

description: The dataset contains systematic observations of water parameters (t [°C], conductivity [μS·cm-1], pH, oxygen [mg·L-1], oxygen saturation [%], ORP [mV], TOC [mg·L-1], DOC [mg·L-1], chlorides [mg·L-1], sulphates [mg·L-1], nitrates [mg·L-1]), stable isotope composition of DIC (δ13CDIC; ‰V-PDB) and trace gas (CH4 [nmol·L-1], N2O [nmol·L-1], H2S [mg·L-1]) distribution in the water columns of three inland freshwater lakes in Poland (central-eastern Europe). The observations were collected monthly between July 2019 and July 2020 as well as quarterly between July 2021 and September 2022 from Lake Łódzko-Dymaczewskie, Lake Dębno and Lake Trześniowskie. The lakes show considerable variability of trophic conditions from mesotrophic (L. Trześniowskie) to highly eutrophic/hypetrophic (L. Łódzko-Dymaczewskie) as well as catchment morphology and land use. The bathymetric data and catchment characteristics for each lake are also provided in our database. The hadrochemical measurements and sampling was done in the deepest site in each lake using standard methods. H2S was determined spectrophotometrically on-site and the CH4 and N2O were analysed in the laboratory using gas chromatography. SO42-, Cl- and NO3- were determined with ion chromatography, HCO3- was manually titrated with HCl with regard to dye and DOC/TOC was analysed with TOC analyzer. Detailed methodology was described by Woszczyk & Schubert (2023). Creation of this dataset aimed at providing the first comprehensive set of information on the occurrence and formation of trace gases in Polish lakes. Special focus was put on potent greenhouse gases (CH4 and N2O), which are expected to increase owing to the ongoing climate warming and accompanying environmental changes (Bartosiewicz et al. 2019). Such database is to extend the existing datasets from northern and western Europe by including observations from aquatic systems in which the GHG data was missing altogether. In addition, to the best of our knowledge, our database is one of the very few, to provide the limnological and biogeochemical community with systematic H2S data. So as GHG, the accumulation of this highly toxic gas in lake waters is projected to accelerate in the following decades. Our data can be used for calculating accumulation rates in water columns as well as to assess atmospheric emissions from lakes. Catchment and hadrochemical data can be used to decipher processes behind production and release of the trace gases from lakes to the ambient air.
DOI: 10.1594/pangaea.976473
title: Hydrochemistry in the water columns from Lake Łódzko-Dymaczewskie, Lake Dębno and Lake Trześniowskie in Poland

description: The dataset contains systematic observations of water parameters (t [°C], conductivity [μS·cm-1], pH, oxygen [mg·L-1], oxygen saturation [%], ORP [mV], TOC [mg·L-1], DOC [mg·L-1], chlorides [mg·L-1], sulphates [mg·L-1], nitrates [mg·L-1]), stable isotope composition of DIC (δ13CDIC; ‰V-PDB) and trace gas (CH4 [nmol·L-1], N2O [nmol·L-1], H2S [mg·L-1]) distribution in the water columns of three inland freshwater lakes in Poland (central-eastern Europe). The observations were collected monthly between July 2019 and July 2020 as well as quarterly between July 2021 and September 2022 from Lake Łódzko-Dymaczewskie, Lake Dębno and Lake Trześniowskie. The lakes show considerable variability of trophic conditions from mesotrophic (L. Trześniowskie) to highly eutrophic/hypetrophic (L. Łódzko-Dymaczewskie) as well as catchment morphology and land use. The bathymetric data and catchment characteristics for each lake are also provided in our database. The hadrochemical measurements and sampling was done in the deepest site in each lake using standard methods. H2S was determined spectrophotometrically on-site and the CH4 and N2O were analysed in the laboratory using gas chromatography. SO42-, Cl- and NO3- were determined with ion chromatography, HCO3- was manually titrated with HCl with regard to dye and DOC/TOC was analysed with TOC analyzer. Detailed methodology was described by Woszczyk & Schubert (2023). Creation of this dataset aimed at providing the first comprehensive set of information on the occurrence and formation of trace gases in Polish lakes. Special focus was put on potent greenhouse gases (CH4 and N2O), which are expected to increase owing to the ongoing climate warming and accompanying environmental changes (Bartosiewicz et al. 2019). Such database is to extend the existing datasets from northern and western Europe by including observations from aquatic systems in which the GHG data was missing altogether. In addition, to the best of our knowledge, our database is one of the very few, to provide the limnological and biogeochemical community with systematic H2S data. So as GHG, the accumulation of this highly toxic gas in lake waters is projected to accelerate in the following decades. Our data can be used for calculating accumulation rates in water columns as well as to assess atmospheric emissions from lakes. Catchment and hadrochemical data can be used to decipher processes behind production and release of the trace gases from lakes to the ambient air.
DOI: 10.1594/pangaea.977489
title: Digital elevation model data of catchment area of Lake Łódzko-Dymaczewskie, Lake Dębno and Lake Trześniowskie in Poland

description: The dataset contains systematic observations of water parameters (t [°C], conductivity [μS·cm-1], pH, oxygen [mg·L-1], oxygen saturation [%], ORP [mV], TOC [mg·L-1], DOC [mg·L-1], chlorides [mg·L-1], sulphates [mg·L-1], nitrates [mg·L-1]), stable isotope composition of DIC (δ13CDIC; ‰V-PDB) and trace gas (CH4 [nmol·L-1], N2O [nmol·L-1], H2S [mg·L-1]) distribution in the water columns of three inland freshwater lakes in Poland (central-eastern Europe). The observations were collected monthly between July 2019 and July 2020 as well as quarterly between July 2021 and September 2022 from Lake Łódzko-Dymaczewskie, Lake Dębno and Lake Trześniowskie. The lakes show considerable variability of trophic conditions from mesotrophic (L. Trześniowskie) to highly eutrophic/hypetrophic (L. Łódzko-Dymaczewskie) as well as catchment morphology and land use. The bathymetric data and catchment characteristics for each lake are also provided in our database. The hadrochemical measurements and sampling was done in the deepest site in each lake using standard methods. H2S was determined spectrophotometrically on-site and the CH4 and N2O were analysed in the laboratory using gas chromatography. SO42-, Cl- and NO3- were determined with ion chromatography, HCO3- was manually titrated with HCl with regard to dye and DOC/TOC was analysed with TOC analyzer. Detailed methodology was described by Woszczyk & Schubert (2023). Creation of this dataset aimed at providing the first comprehensive set of information on the occurrence and formation of trace gases in Polish lakes. Special focus was put on potent greenhouse gases (CH4 and N2O), which are expected to increase owing to the ongoing climate warming and accompanying environmental changes (Bartosiewicz et al. 2019). Such database is to extend the existing datasets from northern and western Europe by including observations from aquatic systems in which the GHG data was missing altogether. In addition, to the best of our knowledge, our database is one of the very few, to provide the limnological and biogeochemical community with systematic H2S data. So as GHG, the accumulation of this highly toxic gas in lake waters is projected to accelerate in the following decades. Our data can be used for calculating accumulation rates in water columns as well as to assess atmospheric emissions from lakes. Catchment and hadrochemical data can be used to decipher processes behind production and release of the trace gases from lakes to the ambient air.
DOI: 10.1594/pangaea.977482
title: Lake morphometry of Lake Łódzko-Dymaczewskie, Lake Dębno and Lake Trześniowskie in Poland

description: The dataset contains systematic observations of water parameters (t [°C], conductivity [μS·cm-1], pH, oxygen [mg·L-1], oxygen saturation [%], ORP [mV], TOC [mg·L-1], DOC [mg·L-1], chlorides [mg·L-1], sulphates [mg·L-1], nitrates [mg·L-1]), stable isotope composition of DIC (δ13CDIC; ‰V-PDB) and trace gas (CH4 [nmol·L-1], N2O [nmol·L-1], H2S [mg·L-1]) distribution in the water columns of three inland freshwater lakes in Poland (central-eastern Europe). The observations were collected monthly between July 2019 and July 2020 as well as quarterly between July 2021 and September 2022 from Lake Łódzko-Dymaczewskie, Lake Dębno and Lake Trześniowskie. The lakes show considerable variability of trophic conditions from mesotrophic (L. Trześniowskie) to highly eutrophic/hypetrophic (L. Łódzko-Dymaczewskie) as well as catchment morphology and land use. The bathymetric data and catchment characteristics for each lake are also provided in our database. The hadrochemical measurements and sampling was done in the deepest site in each lake using standard methods. H2S was determined spectrophotometrically on-site and the CH4 and N2O were analysed in the laboratory using gas chromatography. SO42-, Cl- and NO3- were determined with ion chromatography, HCO3- was manually titrated with HCl with regard to dye and DOC/TOC was analysed with TOC analyzer. Detailed methodology was described by Woszczyk & Schubert (2023). Creation of this dataset aimed at providing the first comprehensive set of information on the occurrence and formation of trace gases in Polish lakes. Special focus was put on potent greenhouse gases (CH4 and N2O), which are expected to increase owing to the ongoing climate warming and accompanying environmental changes (Bartosiewicz et al. 2019). Such database is to extend the existing datasets from northern and western Europe by including observations from aquatic systems in which the GHG data was missing altogether. In addition, to the best of our knowledge, our database is one of the very few, to provide the limnological and biogeochemical community with systematic H2S data. So as GHG, the accumulation of this highly toxic gas in lake waters is projected to accelerate in the following decades. Our data can be used for calculating accumulation rates in water columns as well as to assess atmospheric emissions from lakes. Catchment and hadrochemical data can be used to decipher processes behind production and release of the trace gases from lakes to the ambient air.
DOI: 10.1594/pangaea.977484
title: Bathygraphic data of Lake Łódzko-Dymaczewskie, Lake Dębno and Lake Trześniowskie in Poland

description: The dataset contains systematic observations of water parameters (t [°C], conductivity [μS·cm-1], pH, oxygen [mg·L-1], oxygen saturation [%], ORP [mV], TOC [mg·L-1], DOC [mg·L-1], chlorides [mg·L-1], sulphates [mg·L-1], nitrates [mg·L-1]), stable isotope composition of DIC (δ13CDIC; ‰V-PDB) and trace gas (CH4 [nmol·L-1], N2O [nmol·L-1], H2S [mg·L-1]) distribution in the water columns of three inland freshwater lakes in Poland (central-eastern Europe). The observations were collected monthly between July 2019 and July 2020 as well as quarterly between July 2021 and September 2022 from Lake Łódzko-Dymaczewskie, Lake Dębno and Lake Trześniowskie. The lakes show considerable variability of trophic conditions from mesotrophic (L. Trześniowskie) to highly eutrophic/hypetrophic (L. Łódzko-Dymaczewskie) as well as catchment morphology and land use. The bathymetric data and catchment characteristics for each lake are also provided in our database. The hadrochemical measurements and sampling was done in the deepest site in each lake using standard methods. H2S was determined spectrophotometrically on-site and the CH4 and N2O were analysed in the laboratory using gas chromatography. SO42-, Cl- and NO3- were determined with ion chromatography, HCO3- was manually titrated with HCl with regard to dye and DOC/TOC was analysed with TOC analyzer. Detailed methodology was described by Woszczyk & Schubert (2023). Creation of this dataset aimed at providing the first comprehensive set of information on the occurrence and formation of trace gases in Polish lakes. Special focus was put on potent greenhouse gases (CH4 and N2O), which are expected to increase owing to the ongoing climate warming and accompanying environmental changes (Bartosiewicz et al. 2019). Such database is to extend the existing datasets from northern and western Europe by including observations from aquatic systems in which the GHG data was missing altogether. In addition, to the best of our knowledge, our database is one of the very few, to provide the limnological and biogeochemical community with systematic H2S data. So as GHG, the accumulation of this highly toxic gas in lake waters is projected to accelerate in the following decades. Our data can be used for calculating accumulation rates in water columns as well as to assess atmospheric emissions from lakes. Catchment and hadrochemical data can be used to decipher processes behind production and release of the trace gases from lakes to the ambient air.
DOI: 10.1594/pangaea.977485
title: Stratification index in Lake Łódzko-Dymaczewskie, Lake Dębno and Lake Trześniowskie in Poland

description: The dataset contains systematic observations of water parameters (t [°C], conductivity [μS·cm-1], pH, oxygen [mg·L-1], oxygen saturation [%], ORP [mV], TOC [mg·L-1], DOC [mg·L-1], chlorides [mg·L-1], sulphates [mg·L-1], nitrates [mg·L-1]), stable isotope composition of DIC (δ13CDIC; ‰V-PDB) and trace gas (CH4 [nmol·L-1], N2O [nmol·L-1], H2S [mg·L-1]) distribution in the water columns of three inland freshwater lakes in Poland (central-eastern Europe). The observations were collected monthly between July 2019 and July 2020 as well as quarterly between July 2021 and September 2022 from Lake Łódzko-Dymaczewskie, Lake Dębno and Lake Trześniowskie. The lakes show considerable variability of trophic conditions from mesotrophic (L. Trześniowskie) to highly eutrophic/hypetrophic (L. Łódzko-Dymaczewskie) as well as catchment morphology and land use. The bathymetric data and catchment characteristics for each lake are also provided in our database. The hadrochemical measurements and sampling was done in the deepest site in each lake using standard methods. H2S was determined spectrophotometrically on-site and the CH4 and N2O were analysed in the laboratory using gas chromatography. SO42-, Cl- and NO3- were determined with ion chromatography, HCO3- was manually titrated with HCl with regard to dye and DOC/TOC was analysed with TOC analyzer. Detailed methodology was described by Woszczyk & Schubert (2023). Creation of this dataset aimed at providing the first comprehensive set of information on the occurrence and formation of trace gases in Polish lakes. Special focus was put on potent greenhouse gases (CH4 and N2O), which are expected to increase owing to the ongoing climate warming and accompanying environmental changes (Bartosiewicz et al. 2019). Such database is to extend the existing datasets from northern and western Europe by including observations from aquatic systems in which the GHG data was missing altogether. In addition, to the best of our knowledge, our database is one of the very few, to provide the limnological and biogeochemical community with systematic H2S data. So as GHG, the accumulation of this highly toxic gas in lake waters is projected to accelerate in the following decades. Our data can be used for calculating accumulation rates in water columns as well as to assess atmospheric emissions from lakes. Catchment and hadrochemical data can be used to decipher processes behind production and release of the trace gases from lakes to the ambient air.
DOI: 10.1594/pangaea.977490
title: Slope data of catchment area of Lake Łódzko-Dymaczewskie, Lake Dębno and Lake Trześniowskie in Poland

description: The dataset contains systematic observations of water parameters (t [°C], conductivity [μS·cm-1], pH, oxygen [mg·L-1], oxygen saturation [%], ORP [mV], TOC [mg·L-1], DOC [mg·L-1], chlorides [mg·L-1], sulphates [mg·L-1], nitrates [mg·L-1]), stable isotope composition of DIC (δ13CDIC; ‰V-PDB) and trace gas (CH4 [nmol·L-1], N2O [nmol·L-1], H2S [mg·L-1]) distribution in the water columns of three inland freshwater lakes in Poland (central-eastern Europe). The observations were collected monthly between July 2019 and July 2020 as well as quarterly between July 2021 and September 2022 from Lake Łódzko-Dymaczewskie, Lake Dębno and Lake Trześniowskie. The lakes show considerable variability of trophic conditions from mesotrophic (L. Trześniowskie) to highly eutrophic/hypetrophic (L. Łódzko-Dymaczewskie) as well as catchment morphology and land use. The bathymetric data and catchment characteristics for each lake are also provided in our database. The hadrochemical measurements and sampling was done in the deepest site in each lake using standard methods. H2S was determined spectrophotometrically on-site and the CH4 and N2O were analysed in the laboratory using gas chromatography. SO42-, Cl- and NO3- were determined with ion chromatography, HCO3- was manually titrated with HCl with regard to dye and DOC/TOC was analysed with TOC analyzer. Detailed methodology was described by Woszczyk & Schubert (2023). Creation of this dataset aimed at providing the first comprehensive set of information on the occurrence and formation of trace gases in Polish lakes. Special focus was put on potent greenhouse gases (CH4 and N2O), which are expected to increase owing to the ongoing climate warming and accompanying environmental changes (Bartosiewicz et al. 2019). Such database is to extend the existing datasets from northern and western Europe by including observations from aquatic systems in which the GHG data was missing altogether. In addition, to the best of our knowledge, our database is one of the very few, to provide the limnological and biogeochemical community with systematic H2S data. So as GHG, the accumulation of this highly toxic gas in lake waters is projected to accelerate in the following decades. Our data can be used for calculating accumulation rates in water columns as well as to assess atmospheric emissions from lakes. Catchment and hadrochemical data can be used to decipher processes behind production and release of the trace gases from lakes to the ambient air.