Other language confidence: 0.9529260941117847
This dataset contains grain size classifications and class proportions of dried soil samples from the White Main catchment in northern Bavaria, Germany. It includes sample dry mass, grain size classes, minimum and maximum grain size ranges, and the relative proportion of each grain size class.
This dataset contains fluorescence spectra of stream water samples collected from the White Main headwater stream in northern Bavaria, Germany, from August 2023 to April 2024. Fluorescence intensities from 240 to 400 nm were measured to characterize dissolved organic matter properties.
This dataset contains fluorescence spectra of acid- and base-treated soil extracts from soil samples collected at three locations within the White Main catchment in northern Bavaria, Germany. Fluorescence intensities from 240 to 400 nm were measured to characterize soil-derived organic matter properties.
This dataset contains laboratory-measured alkalinity, dissolved inorganic and organic carbon concentrations, δ13C values of DIC and DOC, and calculated pCO2, CO2 fluxes, and k600 from stream water samples collected along the White Main headwater stream in northern Bavaria, Germany, from March 2023 to April 2024.
This dataset contains UV-Vis absorbance spectra of stream water samples collected from the White Main headwater stream in northern Bavaria, Germany, from August 2023 to April 2024. Absorption coefficients between 230 and 700 nm were measured using a microplate spectrophotometer to characterize dissolved organic matter properties.
This dataset contains zeta potential, particle concentration, electrical conductivity, and pH measurements of soil-derived samples from three locations within the White Main catchment in northern Bavaria, Germany, treated with either Milli-Q water or White Main stream water. The data also include sample treatment, dilution factor, and replicate information.
This dataset contains UV-Vis absorbance spectra of acid and base extracts from soil samples collected at three locations within the White Main catchment in northern Bavaria, Germany. Absorption coefficients were measured between 230 and 698 nm using a microplate spectrophotometer to characterize soil-derived dissolved organic matter properties.
This dataset contains field parameters measured along the first 1.3 km downstream of the White Main spring in northern Bavaria, Germany, from March 2023 to April 2024. It includes sampling location and site information, stream geometry, discharge, and in-situ physicochemical parameters such as water temperature, pH, electrical conductivity, and redox potential.
This dataset contains major anion, major cation, and trace element concentrations measured in stream water samples collected along the White Main headwater stream in northern Bavaria, Germany, from March 2023 to April 2024. Analyses include fluoride, chloride, sulfate, nitrate, sodium, magnesium, potassium, silicon, calcium, aluminium, manganese, and iron.
This dataset contains dissolved inorganic/organic carbon (DIC/DOC) concentrations, its stable isotope ratios (δ13CDIC/DOC), partial pressure of carbon dioxide in the water column pCO₂(aq) (pCO2(aq)) and area-integrated CO₂ emission rates derived from flux calculations (FCO2; g C d⁻¹), along with corresponding parameters (temperature, pH, calcium, bicarbonate) collected from the Danube River and its key tributaries during five seasonal sampling campaigns in 2023 and 2024. Water samples were collected using a weighted 2 L sampling bottle submerged 1–2 meters below the surface, with sampling conducted from the river center via bridges or passenger boats, and occasionally from the riverbank. In situ temperature measurements were taken with a multiparameter instrument (HQ40d, HACH™, Loveland, CO, USA). δ13ODIC/DOC was analyzed using a OI Analytical Aurora 1030W-IRMS. This dataset is providing valuable insights into carbon dynamics in a large river system and support investigations of biogeochemical cycling. It further can inform ecosystem management and conservation strategies under changing environmental conditions.
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