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Hydrochemistry, carbon dynamics, and calculated pCO2 and CO2 fluxes, and soil-derived natural organic matter characteristics from the White Main, a granitic headwater stream in Germany, 2023-2024 – Y1-Y3 ions and metals

This dataset comprises hydrochemical and soil data collected along the first 1.3 km downstream of the White Main spring in northern Bavaria, Germany, from March 2023 to April 2024. Stream water samples were analyzed for in-situ parameters (discharge, water temperature [°C], pH [-], redox potential [mV], electrical conductivity [µS/cm], Table Y1), and laboratory-measured parameters, including major ions and trace metals [mmol/L] (Table Y3), alkalinity [mmol/L], , dissolved inorganic and organic carbon (DIC, DOC [mmol/L]) and their stable isotope ratios (δ13CDIC/DOC ‰-VPDB). In addition, calculated partial pressure of CO2 (pCO2, [µatm]) and carbon dioxide fluxes (FCO2, [mmol/m2 d]), are provided for the stream water samples (Table Y2). The dataset also contains laboratory measurements related to soil-derived natural organic matter from acid and base soil extracts, including zeta potential ([mV], Table X1), particle size distribution ([%], Table X2), ultraviolet-visible absorbance (UV-VIS, Table X3), and fluorescence measurements (Table X4). UV-VIS (Table X5) and fluorescence measurements (Table X6) were additionally done for stream water samples. The datasets were collected to characterize hydrochemistry, carbon concentrations, carbon dioxide dynamics, and soil-derived organic matter properties in a granitic headwater stream and to provide a basis for reuse in studies of headwater biogeochemistry, carbon cycling, and soil-water interactions.

Hydrochemistry, carbon dynamics, and calculated pCO2 and CO2 fluxes, and soil-derived natural organic matter characteristics from the White Main, a granitic headwater stream in Germany, 2023-2024 – X1-X6 Fluo water samples

This dataset comprises hydrochemical and soil data collected along the first 1.3 km downstream of the White Main spring in northern Bavaria, Germany, from March 2023 to April 2024. Stream water samples were analyzed for in-situ parameters (discharge, water temperature [°C], pH [-], redox potential [mV], electrical conductivity [µS/cm], Table Y1), and laboratory-measured parameters, including major ions and trace metals [mmol/L] (Table Y3), alkalinity [mmol/L], , dissolved inorganic and organic carbon (DIC, DOC [mmol/L]) and their stable isotope ratios (δ13CDIC/DOC ‰-VPDB). In addition, calculated partial pressure of CO2 (pCO2, [µatm]) and carbon dioxide fluxes (FCO2, [mmol/m2 d]), are provided for the stream water samples (Table Y2). The dataset also contains laboratory measurements related to soil-derived natural organic matter from acid and base soil extracts, including zeta potential ([mV], Table X1), particle size distribution ([%], Table X2), ultraviolet-visible absorbance (UV-VIS, Table X3), and fluorescence measurements (Table X4). UV-VIS (Table X5) and fluorescence measurements (Table X6) were additionally done for stream water samples. The datasets were collected to characterize hydrochemistry, carbon concentrations, carbon dioxide dynamics, and soil-derived organic matter properties in a granitic headwater stream and to provide a basis for reuse in studies of headwater biogeochemistry, carbon cycling, and soil-water interactions.

Hydrochemistry, carbon dynamics, and calculated pCO2 and CO2 fluxes, and soil-derived natural organic matter characteristics from the White Main, a granitic headwater stream in Germany, 2023-2024 – Y1-Y3 carbon chemistry

This dataset comprises hydrochemical and soil data collected along the first 1.3 km downstream of the White Main spring in northern Bavaria, Germany, from March 2023 to April 2024. Stream water samples were analyzed for in-situ parameters (discharge, water temperature [°C], pH [-], redox potential [mV], electrical conductivity [µS/cm], Table Y1), and laboratory-measured parameters, including major ions and trace metals [mmol/L] (Table Y3), alkalinity [mmol/L], , dissolved inorganic and organic carbon (DIC, DOC [mmol/L]) and their stable isotope ratios (δ13CDIC/DOC ‰-VPDB). In addition, calculated partial pressure of CO2 (pCO2, [µatm]) and carbon dioxide fluxes (FCO2, [mmol/m2 d]), are provided for the stream water samples (Table Y2). The dataset also contains laboratory measurements related to soil-derived natural organic matter from acid and base soil extracts, including zeta potential ([mV], Table X1), particle size distribution ([%], Table X2), ultraviolet-visible absorbance (UV-VIS, Table X3), and fluorescence measurements (Table X4). UV-VIS (Table X5) and fluorescence measurements (Table X6) were additionally done for stream water samples. The datasets were collected to characterize hydrochemistry, carbon concentrations, carbon dioxide dynamics, and soil-derived organic matter properties in a granitic headwater stream and to provide a basis for reuse in studies of headwater biogeochemistry, carbon cycling, and soil-water interactions.

Hydrochemistry, carbon dynamics, and calculated pCO2 and CO2 fluxes, and soil-derived natural organic matter characteristics from the White Main, a granitic headwater stream in Germany, 2023-2024 – X1-X6 UV-VIS water samples

This dataset comprises hydrochemical and soil data collected along the first 1.3 km downstream of the White Main spring in northern Bavaria, Germany, from March 2023 to April 2024. Stream water samples were analyzed for in-situ parameters (discharge, water temperature [°C], pH [-], redox potential [mV], electrical conductivity [µS/cm], Table Y1), and laboratory-measured parameters, including major ions and trace metals [mmol/L] (Table Y3), alkalinity [mmol/L], , dissolved inorganic and organic carbon (DIC, DOC [mmol/L]) and their stable isotope ratios (δ13CDIC/DOC ‰-VPDB). In addition, calculated partial pressure of CO2 (pCO2, [µatm]) and carbon dioxide fluxes (FCO2, [mmol/m2 d]), are provided for the stream water samples (Table Y2). The dataset also contains laboratory measurements related to soil-derived natural organic matter from acid and base soil extracts, including zeta potential ([mV], Table X1), particle size distribution ([%], Table X2), ultraviolet-visible absorbance (UV-VIS, Table X3), and fluorescence measurements (Table X4). UV-VIS (Table X5) and fluorescence measurements (Table X6) were additionally done for stream water samples. The datasets were collected to characterize hydrochemistry, carbon concentrations, carbon dioxide dynamics, and soil-derived organic matter properties in a granitic headwater stream and to provide a basis for reuse in studies of headwater biogeochemistry, carbon cycling, and soil-water interactions.

Hydrochemistry, carbon dynamics, and calculated pCO2 and CO2 fluxes, and soil-derived natural organic matter characteristics from the White Main, a granitic headwater stream in Germany, 2023-2024 – X1-X6 size distribution

This dataset comprises hydrochemical and soil data collected along the first 1.3 km downstream of the White Main spring in northern Bavaria, Germany, from March 2023 to April 2024. Stream water samples were analyzed for in-situ parameters (discharge, water temperature [°C], pH [-], redox potential [mV], electrical conductivity [µS/cm], Table Y1), and laboratory-measured parameters, including major ions and trace metals [mmol/L] (Table Y3), alkalinity [mmol/L], , dissolved inorganic and organic carbon (DIC, DOC [mmol/L]) and their stable isotope ratios (δ13CDIC/DOC ‰-VPDB). In addition, calculated partial pressure of CO2 (pCO2, [µatm]) and carbon dioxide fluxes (FCO2, [mmol/m2 d]), are provided for the stream water samples (Table Y2). The dataset also contains laboratory measurements related to soil-derived natural organic matter from acid and base soil extracts, including zeta potential ([mV], Table X1), particle size distribution ([%], Table X2), ultraviolet-visible absorbance (UV-VIS, Table X3), and fluorescence measurements (Table X4). UV-VIS (Table X5) and fluorescence measurements (Table X6) were additionally done for stream water samples. The datasets were collected to characterize hydrochemistry, carbon concentrations, carbon dioxide dynamics, and soil-derived organic matter properties in a granitic headwater stream and to provide a basis for reuse in studies of headwater biogeochemistry, carbon cycling, and soil-water interactions.

Hydrochemistry, carbon dynamics, and calculated pCO2 and CO2 fluxes, and soil-derived natural organic matter characteristics from the White Main, a granitic headwater stream in Germany, 2023-2024 – X1-X6 zeta potential

This dataset comprises hydrochemical and soil data collected along the first 1.3 km downstream of the White Main spring in northern Bavaria, Germany, from March 2023 to April 2024. Stream water samples were analyzed for in-situ parameters (discharge, water temperature [°C], pH [-], redox potential [mV], electrical conductivity [µS/cm], Table Y1), and laboratory-measured parameters, including major ions and trace metals [mmol/L] (Table Y3), alkalinity [mmol/L], , dissolved inorganic and organic carbon (DIC, DOC [mmol/L]) and their stable isotope ratios (δ13CDIC/DOC ‰-VPDB). In addition, calculated partial pressure of CO2 (pCO2, [µatm]) and carbon dioxide fluxes (FCO2, [mmol/m2 d]), are provided for the stream water samples (Table Y2). The dataset also contains laboratory measurements related to soil-derived natural organic matter from acid and base soil extracts, including zeta potential ([mV], Table X1), particle size distribution ([%], Table X2), ultraviolet-visible absorbance (UV-VIS, Table X3), and fluorescence measurements (Table X4). UV-VIS (Table X5) and fluorescence measurements (Table X6) were additionally done for stream water samples. The datasets were collected to characterize hydrochemistry, carbon concentrations, carbon dioxide dynamics, and soil-derived organic matter properties in a granitic headwater stream and to provide a basis for reuse in studies of headwater biogeochemistry, carbon cycling, and soil-water interactions.

Hydrochemistry, carbon dynamics, and calculated pCO2 and CO2 fluxes, and soil-derived natural organic matter characteristics from the White Main, a granitic headwater stream in Germany, 2023-2024 – Y1-Y3 field parameters

This dataset comprises hydrochemical and soil data collected along the first 1.3 km downstream of the White Main spring in northern Bavaria, Germany, from March 2023 to April 2024. Stream water samples were analyzed for in-situ parameters (discharge, water temperature [°C], pH [-], redox potential [mV], electrical conductivity [µS/cm], Table Y1), and laboratory-measured parameters, including major ions and trace metals [mmol/L] (Table Y3), alkalinity [mmol/L], , dissolved inorganic and organic carbon (DIC, DOC [mmol/L]) and their stable isotope ratios (δ13CDIC/DOC ‰-VPDB). In addition, calculated partial pressure of CO2 (pCO2, [µatm]) and carbon dioxide fluxes (FCO2, [mmol/m2 d]), are provided for the stream water samples (Table Y2). The dataset also contains laboratory measurements related to soil-derived natural organic matter from acid and base soil extracts, including zeta potential ([mV], Table X1), particle size distribution ([%], Table X2), ultraviolet-visible absorbance (UV-VIS, Table X3), and fluorescence measurements (Table X4). UV-VIS (Table X5) and fluorescence measurements (Table X6) were additionally done for stream water samples. The datasets were collected to characterize hydrochemistry, carbon concentrations, carbon dioxide dynamics, and soil-derived organic matter properties in a granitic headwater stream and to provide a basis for reuse in studies of headwater biogeochemistry, carbon cycling, and soil-water interactions.

Umsatzraten und Herkunft von Lipiden in Ackerböden: Zeitlich aufgelöste strukturelle und isotopische Charakterisierung der Lipidfraktionen einer natürlich markierten Schwarzerde

Lipide haben wahrscheinlich große Bedeutung für die Stabilisierung organischer Substanz in Böden, sie wurden aber bisher mittels moderner strukturchemischer und isotopischer Methoden nur wenig untersucht. Durch die Kombination dieser Methoden sollen erstmals gleichzeitg Aussagen über Herkunft (Pflanzen, Bakterien, Pilze) und Umsatzraten (d13C) der Lipide auf molekularer Ebene ermöglichen. Der Nutzungswechsel von Roggen- (C3-) zu Mais-Monokultur (C4-Pflanze) markierte die zugeführte Biomasse strukturell und isotopisch. Die Nutzung von Rückstellproben ermöglicht eine über vier Jahrzehnte zeitlich aufgelöste Auswertung dieses landwirtschaftlichen Freilandversuchs. Die Lipide sollen mit einer Kombination moderner struktureller, spektroskopischer und isotopischer Analysetechniken der Bodenchemie, organischen Geochemie und Biochemie untersucht werden. Untersuchungen sollen an Gesamtböden und ausgewählten PartikelgrößenFraktionen erfolgen. Die Bodenlipide werden erstmalig über eine automatisierte sequentielle Flüssigkeitschromatographie in folgende Fraktionen getrennt: a) Aliphaten, b) Ketone/Alkohole, c) Fettsäuren, d) Aromaten, e) basische Lipide und f) hochpolare Biopolymere. Diese Fraktionen sollen anschließend strukturell identifiziert (13C NMR, GC-MS) und die Fraktionen a) bis c) gesamt- und komponentenspezifisch (GC-irmMS) d 13C-isotopisch charakterisiert werden.

Aerosolpartikel in der Outflow-Region des Asiatischen Monsuns: Zusammensetzung und Bildungsprozesse

Der asiatische Monsun spielt eine wichtige Rolle beim Verständnis der chemischen und klimarelevanten Prozesse in der globalen Atmosphäre, nicht zuletzt wegen seines Einflusses auf die Aerosol- und Wolkeneigenschaften in der oberen Troposphäre und unteren Stratosphäre. Bereits seit einigen Jahren wird die sogenannte Asian Tropopause Aerosol Layer (ATAL) mit Fernerkundungsmethoden und Ballon-basierten Messungen untersucht. Es existieren allerdings nur wenige in-situ Beobachtungen innerhalb der ATAL, beziehungsweise in der Ausströmregion (Outflow) des asiatischen Monsuns in Richtung mittlere Breiten, die Informationen über die chemischen Zusammensetzung der Aerosolpartikel geben. Es wird davon ausgegangen, dass die Luftmassen im Outflow des asiatischen Monsuns Aerosolpartikel enthalten, die aufgrund von photochemischer Prozessierung und sekundärer Bildung während des Transports veränderte Eigenschaften aufweisen. Diese Prozesse haben einen Einfluss auf die Fähigkeit der Partikel zur Eisnukleation und damit wiederum auf den indirekten Klimaeffekt dieser Partikel. Dieser Antrag zielt daher auf die in-situ Untersuchung der chemischen Zusammensetzung der Aerosolpartikel im submikrometer Bereich ab. Wir schlagen vor, das Hybrid-Aerosolmassenspektrometer ERICA (ERC instrument for the chemical composition of aerosols) im Rahmen der PHILEAS Kampagne auf dem Forschungsflugzeug HALO einzusetzen. Das ERICA kombiniert zwei Typen von Aerosolmassenspektrometrie-Methoden und ermöglicht es somit, zeitgleich Einzelpartikel- und Ensemblemessungen zur chemischen Zusammensetzung durchzuführen. Zusätzlich wird die Messkapazität zum einen durch den Einbau eines Impaktors erweitert, welcher eine spätere offline-Analyse der Partikel mittels Röntgenstrahlung und Elektronenmikroskopie ermöglicht. Zum anderen wird ein neuer Messmodus zur quantitativen chemischen Analyse von Einzelpartikeln in das ERICA integriert. Dieser Datensatz, zusammen mit Spurengasmessungen und der lagrangeschen Modellierung der Luftmassenherkunft, wird somit die Untersuchung von Quellen, Bildungsprozessen sowie der photochemische Entwicklung der Aerosolpartikel während des Transports ermöglichen.

Die Bedeutung von Picodetritus im potamalen mikrobiellen Nahrungsgewebe

Es ist davon auszugehen, dass Picodetribus (tote organische Partikel mit einer Größe von etwa 0,2 bis 2 mym) einen wesentlichen Bestandteil der partikulären organischen Fracht der meisten Fließgewässer bildet. Er könnte eine bisher stark unterschätzte Nahrungsquelle insbesondere für picophage Protisten im Potamoplankton darstellen. Sollte sich dies bestätigen, wäre dieser Nahrungsweg eine quantitativ wichtige Wiedereintrittsstelle von organischen Partikeln in den Stofffluss von Flüssen (auch von Standgewässern). Durch die unterschiedliche Entstehungsweise des Picodetritus (...) ist eine heterogene Zusammensetzung anzunehmen. In Laboruntersuchungen wird die Aufnahme und Verwertung von Picodetritus durch typische Protozoenarten (...) untersucht. Als Beispielgewässer für eine Abschätzung des Stoffflusses über den Picodetritus unter Freilandbedingungen soll der Rhein bei Köln fungieren.

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