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Time series of environmental parameters of habitats along the Schleswig-Holstein Baltic Sea (2018 et seq)

The here presented data time-series are connected to the publication "Environmental parameters of shallow water habitats in the SW Baltic Sea" (Franz, M. et al. 2019b). Since 2019 a number of stations were added, and, hence, new time-series started. Every year a new dataset will be published including both, old and new stations. The following abstract is revised from Franz, M. et al. (2019b): The coastal areas of the Baltic Sea represent highly variable environments. In order to record the environmental conditions in shallow water habitats of the SW Baltic Sea, a monitoring program was established. The monitoring sites are located along the Baltic Sea coast of Schleswig-Holstein, Germany. Along the coast, 23 stations were established, where samplings for dissolved inorganic nutrient concentrations are conducted. Here, twice per month, water samples are collected in a water depth of 0.5 m. The samples are analysed for the concentration of dissolved inorganic nutrients (total oxidized nitrogen, nitrite, ammonia, phosphate and silicate) by UV/VIS spectroscopy using a continuous flow analyser (type QuAAtro 30; comp. SEAL Analytical, Hamburg, Germany. The system is equipped with a SEAL XY-2 autosampler). Quality control for nutrient measurements is ensured by certified reference material (CRM) by KANSO TECHNOS CO, LTD, Osaka, Japan. Additionally, at four shallow water stations (Booknis Eck, Bülk, Behrensdorf and Katharinenhof) temperature, salinity and dissolved oxygen are continuously logged at 2-3 m depth by self-contained data loggers. These are: (I) MiniDOT loggers (Precision Measurement Engineering; http://pme.com; ±10 µmol L-1 or ±5 % saturation) including antifouling copper option (copper plate and mesh) to measure dissolved oxygen concentration and (II) DST CT salinity & temperature loggers (Star-Oddi; http://star-oddi.com; ±1.5 mS cm-1) to record the conductivity. Both sensor types additionally record water temperature with an accuracy of ± 0.1 °C. The sampling interval was set to 30 minutes for all parameters. Another seven stations for continuous recordings of environmental parameters (again: temperature, salinity, dissolved oxygen) with the same two types of sensors were installed at 4-6 m depth in the context to the long-term monitoring project RegLocDiv (Regional-Local-Diversity) by M. Wahl (Franz, M. et al. 2019a) and included into this data set. These stations are at: Falshoeft, Booknis Eck, Schoenberg, Westermakesdorf, Staberhuk, Kellenhusen and Salzhaff (abandoned in 2023). Since 2021, in the context of implementing a reef monitoring to fulfil obligations by the EU Habitats Directive, step-by-step, eleven further stations were installed at reefs in the Schleswig-Holstein Baltic Sea. These are at: Platengrund (14 m depth) and Mittelgrund (8 m) (both since 2021), at Walkyriengrund (9 m), Brodtener Ufer (8 m), Außenschlei (11 m), Kalkgrund (8 m), Stollergrund (7.5 m) and Flueggesand (10 m) (all since 2022), as well as at Gabelsflach (10 m), Sagasbank (8.5 m) and Stabehuk (11.5 m) (all since 2023). Again, at all of these 11 stations, temperature, salinity and dissolved oxygen are continuously logged by self-contained data loggers: Conductivity (and temperature) is logged by HOBO® Salt Water Conductivity/Salinity Data Logger (Onset Computer Corporation, Bourne, MA, USA; https://www.onsetcomp.com) using the U2X protective housing to prevent fouling on the sensors. The same MiniDOT loggers (Precision Measurement Engineering) as at the above mentioned more shallow stations (including antifouling copper plate and mesh) are used to measure dissolved oxygen concentration. Dissolved oxygen concentration data measured by the MiniDOT loggers are corrected for a depth of 5 m (or 2,5 m on the shallow stations) using the software provided by the manufacturer. Additionally, a manual compensation for salinity was calculated (see details in Franz, M. et al. 2019b). Quality control was carried out by spike and gradient tests, following recommendations of SeaDataNet quality control procedures (see https://seadatanet.org/Standards/Data-Quality-Control). All data values were flagged according to applied quality checks using the following flags: 1 = Pass, 2 = Suspect, 3 = Fail, 4 = Visually suspect, 5 = Salinity compensation fail (further explanations can be found in Franz, M. et al. 2019b). The project is funded by the LfU (Landesamt für Umwelt, Schleswig-Holstein, Germany). Main responsible persons are C. Hiebenthal, C. Lieberum, F. Weinberger and R. Karez. Responsible for the nutrient analysis: N. Stärck; Responsible for taking the water samples: C. Lieberum and D. Bürger.

Carbonate chemistry and river discharge dataset for the Elbe from incubation experiments and historical data records

This dataset provides carbonate chemistry and hydrological measurements supporting the analysis of the stability of alkalinity and carbon transport potential in the Elbe Estuary, northern Germany. It includes (1) results from laboratory incubation experiments using water samples from the Elbe conducted in 2023, (2) historical water chemistry monitoring records from multiple stations, and (3) monthly flow discharge measurements from the Neu Darchau gauging station. Experimental data were collected from the experiments varying salinity and seasonal conditions, and parameters measured include pH, temperature, and total alkalinity. Major ion concentrations (Na+, K+, Ca2+, Mg2+, Cl-, SO42-) were reconstructed from stoichiometry. The saturation states of calcite and aragonite, as well as pCO2, were calculated using the phreeqpython geochemical package. Historical data, covering carbonate chemistry and major ions at several stations and over multiple years, were collected from digitized sources and FGG Elbe. Together, this dataset facilitates the investigation of long-term trends in the carbonate system and carbon transport in the land ocean transition zone of the Elbe River.

Gas exchange data from Douglas fir juveniles during experimental drought and recovery

This dataset contains physiological measurements from a controlled laboratory experiment on juvenile Pseudotsuga menziesii (Douglas fir) conducted between June and August 2023 at the experimental greenhouse facility of the Karlsruhe Institute of Technology (KIT), Campus Alpin, Garmisch-Partenkirchen, southern Germany. The plant material originated from a commercial nursery in Franconia, Germany, and consisted of three-year-old trees maintained under uniform conditions prior to the experiment. The experiment aimed to assess the physiological responses of P. menziesii to progressive drought and subsequent recovery under controlled environmental conditions. Two drought treatments (mild and severe) were applied over a four-week period, followed by a re-watering phase. Air and soil temperature, relative humidity, vapor pressure deficit, molar flow, transpiration rate, net photosynthesis, conductance to water, and CO₂ exchange were recorded continuously using automated LI-COR gas exchange systems with separate branch (aboveground) and root (belowground) chambers. Each measurement is associated with a unique tree identifier, treatment level, and compartment. All timestamps are reported in Coordinated Universal Time (UTC). The dataset provides detailed observations suitable for examining drought stress responses and recovery dynamics in juvenile Pseudotsuga menziesii under controlled laboratory conditions.

Raw data of physical oceanography during RV ELISABETH MANN BORGESE cruise EMB304

This raw data of physical oceanography was acquired during research cruise EMB304 of 'RV Elisabeth Mann Borgese' from October 25th to November 02nd 2022. Thereby data was measured by a Seabird SBE911+ as part of a CTD-Rosette. Default onboard CTD system of EMB consists of the SBE9 with 2x SBE43 for oxygen, 2 SBE3 temperature sensors, PAR sensor, altimeter, fluorometer, turbidity meter and a down facing camera to estimate distance to the bottom. The CTD is operated with active heave compensation. Water is sampled with 13 free flow water bottles holding 10l each.

Data used for the preprint version of the paper "Implicit time discretisation as a potential avenue to achieve full coupling between shallow water flow and bedload transport" [Utz, 2024]

This dataset contains all data, which have been used to write the linked paper. In addition, it contains all Python scripts used for the evaluation of the data. It should be noted that the Python module pynocular is used within the scripts. This module is not yet published, but it is planned for release via https://github.com/baw-de.

HydBCsForOF: Hydraulic Engineering Boundary Conditions for OpenFOAM

HydBCsForOF is a set of hydraulic engineering boundary conditions for the Volume-of-Fluid solver "interfoam" of OpenFOAM. This is neither a part of openfoam nor endorsed by the owners of OpenFOAM. The provided boundary conditions allow the specification of water flow rates for variable water levels and the prescribtions of water levels with variable flow rates.

GTS Bulletin: QIMA88 EDZW - Pictorial information regional (Binary coded) (details are described in the abstract)

The QIMA88 TTAAii Data Designators decode as: T1 (Q): Pictorial information regional (Binary coded) T1T2 (QI): Ice flow A2 (A): Analysis (00 hour) T1ii (Q88): Ground or water properties for the Earth's surface (ie snow cover, wave and swell) (Remarks from Volume-C: ICE CONDITIONS CHART WEST BALTIC SEA)

Ökologische Durchgängigkeit, Wanderkorridore einheimischer Fischarten in stauregulierten Bundeswasserstraßen

Nach derzeitigem Kenntnisstand nutzen wandernde Fischarten die Strömung eines Fließgewässers zur Orientierung. Sie schwimmen gegen die Strömung gerichtet flussaufwärts. Dabei verbrauchen sie Energie. Der Energieverbrauch steigt mit der stärke der Gegenströmung, die der Fisch im Querprofil des Flusses wählt. Es gibt Hinweise, dass der Wanderweg im Querschnitt eines Gewässers dabei nicht zufällig gewählt ist, sondern einen Wanderkorridor gewählt wird, in dem die Strömung zur Orientierung ausreicht aber möglichst geringe Energiekosten verursacht. Im Projekt soll untersucht werden, ob sich solch ein Wanderkorridor belegen und anhand welcher abiotischer Faktoren er sich beschreiben lässt. Dabei werden neben der Strömungsgeschwindigkeit und -richtung auch weitere Faktoren untersucht. Ziel des Projektes ist es, Wanderkorridore für unterschiedliche Arten modellhaft zu beschreiben und Schlüsselfaktoren für eine räumliche und zeitliche Abgrenzung von Wanderkorridoren zu ermitteln.

Ökologische Durchgängigkeit, Identifizierung/Parametrisierung/Modellierung von Fisch- Aufstiegskorridoren vor Querbauten in Bundeswasserstraßen

Fischaufstiegsanlagen (FAA) haben eine wesentliche Bedeutung für die Herstellung der fischökologischen Durchgängigkeit von Querbauwerken. Allerdings ist das Verständnis der Auffindbarkeit von FAA insbesondere in großen BWaStr derzeit noch begrenzt. Nach derzeitigem Kenntnisstand zur Planung von FAA folgen wandernde Fische einer Leitströmung aus dem Unterwasser in den Einstieg der FAA. Welche konkreten hydraulische Parameter dabei eine signifikante Rolle spielen ist aber unbekannt. Ebenso ist die Frage der potenziellen Bedeutung anderer abiotischer Faktoren wir Morphologie, Akustik oder Lichtintensität nicht ausreichend geklärt, insbesondere für die potamodromen Arten Mitteleuropas. Anhand hydraulischer und anderer abiotischer Faktoren sowie einer Analyse von Fischbewegungsmustern im Unterwasser von Querbauwerken sollen Aufstiegskorridore von Wanderfischen identifiziert, parametrisiert und modelliert werden. Ziel des Projektes ist es, Aufstiegskorridore anhand abiotischer Faktoren räumlich abzugrenzen und somit die Auffindbarkeit von Fischaufstiegsanlagen und den Stand der Technik für Planungen von FAA in BWaStr zu verbessern.

Monitoring and modeling of water and water-related nutrient fluxes in rice-based cropping systems

Many studies have been conducted with the aim to better understand biologic and hydrologic processes that control C and N fluxes in rice paddy systems. But rarely have studies attempted to explicitly link the hydrological and biogeochemical controls of nutrient transport on the field scale. In this research project we aim to improve our understanding of processes that are involved in storing and releasing water and nutrients of different rice-based cropping systems. The Catchment Modeling Framework (CMF) will be coupled to the biogeochemical MOBILE-DNDC model (SP6) in to simulate (1) vertical and lateral transport processes of water, C and N and (2) to predict the reaction of ecosystem services such as water storage and purification, gas regulation, nutrient cycling and food supply in dependence of cropping systems. SP7 follows a rejectionist framework where model complexity is adapted to available data and process understanding. State-of-the-art analytical instruments will be connected to a unique automatic sampling system to continuously measure water isotopic composition as well as dissolved carbon and nitrogen solutes in situ for the first time. Waters to be sampled include surface water, irrigation water, groundwater and water vapor. Cavity Ringdown Spectroscopy will be used to measure 2H/H and 18O/16O. Isotopic signatures will allow estimating water mean transit times, partitioning between evaporation and transpiration and separating flow paths. Hyperspectral UV photometers equipped with a flow-through cell will be installed for continuous measurements of nitrate and DOC.

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