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Nutrient concentrations from two benthic chambers and the ambient bottom water during an in-situ incubation experiment in July 2025

The dataset contains dissolved nutrient concentrations from water samples collected during a 16-day in-situ incubation experiment in the Baltic Sea (2025-07-12 to 2025-07-29). Samples were collected using an automated glass-syringe sampler deployed within two benthic chambers of a Biogeochemical Observatory (BIGO, Sommer et al., 2009) at 54° 34.432' N, 10° 10.776' E, at 22 m water depth. In one chamber, 29 g of fine calcite powder were added to the bottom water as part of an enhanced benthic calcite weathering experiment. Seven samples per chamber and from the ambient bottom water were analyzed to assess potential nutrient fluxes associated with the calcite addition and benthic biogeochemical processes.

Element concentrations from two benthic chambers and the ambient bottom water during an in-situ incubation experiment in July 2025

The dataset contains major and trace element concentrations measured by inductively coupled plasma optical emission spectrometry (ICP-OES) from water samples collected during a 16-day in-situ incubation experiment in the Baltic Sea (2025-07-12 to 2025-07-29). Samples were collected using an automated glass-syringe sampler deployed within two benthic chambers of a Biogeochemical Observatory (BIGO, Sommer et al., 2009) at 54° 34.432' N, 10° 10.776' E, at 22 m water depth. In one chamber, 29 g of fine calcite powder were added to the bottom water to assess the potential of enhanced benthic calcite weathering as an ocean alkalinity enhancement (OAE) strategy. Seven samples per chamber and from the ambient bottom water were analyzed to trace elemental changes associated with calcite dissolution.

Alkalinity concentrations from two benthic chambers and the ambient bottom water during an in-situ incubation experiment in July 2025

The dataset contains total alkalinity measurements from water samples collected during a 16-day in-situ incubation experiment in the Baltic Sea (2025-07-12 to 2025-07-29). Samples were collected using an automated glass-syringe sampler deployed within two benthic chambers of a Biogeochemical Observatory (BIGO, Sommer et al., 2009) at 54° 34.432' N, 10° 10.776' E, at 22 m water depth. In one chamber, 29 g of fine calcite powder were added to the bottom water. Seven samples per chamber and from the ambient bottom water were taken to monitor alkalinity changes resulting from calcite dissolution, providing a direct measure of the ocean alkalinity enhancement (OAE)

Processed flow discharge data from the Neu Darchau gauging station between 1969 and 2019

The dataset includes processed flow discharge data from Neu Darchau gauging station (Elbe-km 536.4) that provided hydrological information for calculating alkalinity transport potential. The monthly sums were calculated from daily mean discharge measurements from Neu Darchau (station number: 6340110) available from the Global Runoff Data Centre (https://grdc.bafg.de/).

Bottom water chemistry during in-situ incubation experiments on enhanced benthic calcite weathering in July 2025

The data was produced during a 16 day in-situ incubation experiment in the Baltic Sea. In order to assess the potential for enhanced benthic calcite weathering as a ocean alkalinisation and thus negative emissions strategy, a Biogeochemical Observatory (BIGO, Sommer et al., 2009) was deployed at 54° 34.432 N, 10° 10.776 E, at 22 m water depth between 2025-07-12 and 2025-07-29. The BIGO is equipped with two benthic chambers that were lowerd to the sea floor. In chamber two, 29 g of fine calcite powder were added to the bottom water. 7 Samples were taken via an automatted glassyringe sampler from each chamber and the ambient bottom water.

Historical water chemistry monitoring records from multiple stations between 1959 and 2017

Long-term water-chemistry measurements from multiple Elbe River monitoring stations establish a baseline for carbonate-system variability and were used to assess the alkalinity transport potential. The dataset from 1959 to 1977 was digitized from handwritten notes provided by Dr. Mewius (Kempe 1982). The water chemistry data from 1984 to 2017 (e.g., pH, water temperature, and major ions) was obtained from the Fachinformationssystem (FIS) der FGG Elbe (data source: www.fgg-elbe.de, accessed on 2021-02-26).To generate a single river chemistry time series, data from (Zollenspieker (Strom-km 598,7), Geesthacht (Strom-km 585,9), Schnackenburg (Strom-km 474,5), Boizenburg (Strom-km 559,0), Doemitz (Strom-km 505,0), and Hamburg Waterworks (Strom-km ~623,1) were used. Saturation state of calcite and aragonite were calculated using phreeqpython, a Python wrapper of the PhreeqC engine (Vitens 2021) with pH, water temperature, total alkalinity, and major ions as major input, and phreeqc.dat as database for the thermodynamic data (Parkhurst and Appelo 2013).

Carbonate chemistry from laboratory incubation experiments using water samples from the Elbe conducted in 2023

This dataset comprises key carbonate chemistry parameters measured and calculated in incubation experiments under different experimental conditions. pH, water temperature, and salinity were measured with a WTW multimeter (MultiLine® Multi 3630 IDS). Total alkalinity was determined by open-cell titration with an 888 Titrando (Metrohm). Saturation state of calcite and aragonite were calculated using phreeqpython, a Python wrapper of the PhreeqC engine (Vitens 2021) with pH, water temperature, total alkalinity, and major ions as major input, and phreeqc.dat as database for the thermodynamic data (Parkhurst and Appelo 2013). As the original Elbe water was supersaturated with carbon dioxide (CO2) with respect to the atmosphere, its partial pressure of CO2 (pCO2) level decreased during the incubation period with open flasks, which caused an adjustment of calcite saturation state (ΩC) for ambient air conditions. To adapt for the impact of pCO2 variations during the experiment, saturation state of calcite and aragonite was calculated assuming an equilibrium with an atmospheric pCO2 of 415 ppm (normalized ΩC and normalized aragonite sautration state ΩA). Since ion concentrations were measured for only a small number of samples, the ion concentrations of the remaining samples were reconstructed using stoichiometry based on the initial solution composition and total alkalinity. The concentrations of conservative ions (Na+, K+, Cl-, SO42-) were assumed remain constant, while ions related to carbonate precipitation (Ca2+, Mg2+) were calculated based on changes in measured alkalinity (see Figure 5 of the associated paper). Detailed analysis and calculation procedures are described in the Method section of the associated paper.

KOSMOS 2023 Helgoland mesocosm study on ocean alkalinity enhancement: dissolved inorganic nutrients, chlorophyll a and suspended particulate organic matter

We conducted a mesocosm study to investigate ecosystem responses to ocean alkalinity enhancement (OAE) in the temperate waters of the German North Sea on Helgoland in spring 2023. We simulated non-CO2-equilibrated OAE via calcium hydroxide through the addition of calcium chloride and sodium hydroxide. Twelve 6 m³ mesocosms were used to simulate two scenarios: in six mesocosms we established a gradient of added alkalinity from 0 to 1250 µmol/kg in increments of 250 µmol/kg, simulating immediate (imm) dilution of alkalised waters. For the second set of six mesocosms, alkalinity was added only to the top 1 m of each mesocosm, doubling the target added alkalinity. The top layer was mixed with the untreated bottom layer after 48 hours, simulating delayed dilution of alkalised waters (del) and ultimately leading to the same alkalinity gradient as the immediate dilution treatment. This data contains water column biogeochemical variables, including dissolved inorganic nutrient concentrations (µmol/L), chlorophyll a concentrations (µg/L) and suspended particulate matter (biogenic silica, particulate organic carbon, nitrogen and phosphate; µmol/L). Nutrients, particulate organic phosphate and biogenic silica were measured spectrophotometrically (Unicam UV 300, Thermo Spectronic, USA). High-performance liquid chromatography (Thermo Scientific HPLC Ultimate 3000) was performed for chlorophyll a determination and particulate organic carbon and nitrogen were measured using an elemental analyser (Flash EA, Thermo Fisher).

Innovative Ansätze zur Verbesserung des Kohlenstoffspeicherpotenzials von Vegetationsküstenökosystemen, Leitantrag; Vorhaben: Zeitliche Entwicklung des partikulären organischen Materials (wieder)angesiedelter Küstenökosysteme

Particulate fucoidan concentrations during 24-days of incubations in mesocosm experiments with brown algae

Six mesocosm experiments with specimens of Fucales or Laminariales were conducted across six georegions (3 mesocosms with brown algae, 3 mesocosms without brown algae). Incubations lasted 24 days, followed by a year-long monitoring of incubation water. During the first 12 days, brown algae were maintained in mesocosms adjacent to control mesocosms, with 1 L of water sampled every second day. Half of the mesocosm water was replaced with fresh seawater after each sampling. Environmental conditions and primary productivity of specimens was recorded during the incubation. After 12 days, specimens were removed and incubation continued for another 12 days, maintaing the same sampling routine. At the end of the 24 day- incubation period, long-term monitoring was set-up with 6-10L of incubation water in two different conditions: one exposed to a controlled light cycle at 20°C, the second set in darkness at 4°C with added nutrients (40 µM NO3- and 3µM PO43-). Additional water samples were collected along transects extending from near-shore brown algae poplulations. Water samples were filtered over pre-combusted GFF filters (450°C, 4.5h), and both the filtrate and filters were analysed for dissolved organic carbon (DOC), particulate organic carbon (POC). Fucoidan was quantified in dissolved (>1kDa) fraction and surface active fraction (SAF) (> 1kDa and negative charged fraction purified with anion exchange chromatography) fractions through monosaccharide quantification after acid-hydrolysis (100°C, 24h) using HPAEC-PAD, according to Engel and Händel, 2011. Intact polysaccharides were detected using structure-sensitive monoclonal antibodies (Torode et al., 2015; Vidal-Melgosa et al., 2021). Microbial cells were quantified using DAPI-cell staining and counting. Semi-quantitative measurements of particulate fucoidan were performed via acid hydrolysis of GFF filter pieces, followed by monosaccharide analysis via HPAEC-PAD. Sedimented particles to bottom of mesocosms were scooped out on day 24 for monosaccharide analysis and BAM1 antibody binding specific to fucoidan.

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