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Kiel Bight sedimentary data from sediment core incubation experiment in 2025

This dataset presents porewater and solid-phase geochemistry as well as microbial cell counts and microbial induced sulfate reduction rates from calcite-amended and unamended sediment cores collected in Kiel Bight in February 2025 during cruise L25-02b. Sediment cores were incubated at 8° C under controlled oxygen cycles in the laboratory of the home institute. Porewater was extracted by centrifugation and anoxic filtration. Solid phase analyses included organic carbon (COrg), calcium carbonate (CaCO3), total sulfur (%) and data from sequential iron (Fe) extraction (Cline Assay), calcium ions, Fe total, manganese (Mn total, ICP-OES), sulfate (IC), alkalinity, hydrogen sulfide. Sulfate reduction rates were quantified using 35S-radiotracer incubation and cold chromium distillation (Kallmeyer et al., 2004, Roy et al., 2014). Furthermore, cell counts were determined. The dataset supports evaluation of enhanced benthic weathering effects on sulfur cycling, iron speciation and microbial activity in dynamic and seasonally hypoxic coastal sediments.

Kiel Bight sediment core liner water-column data from sediment core incubation experiment in 2025

This dataset consists of water chemistry from within three calcite amended and three reference sediment cores from Kiel Bight from February 2025. Dissolved oxygen was monitored non-invasively using optical sensor spots (OXSP5, PyroScience) at 5cm above the sediment. Total alkalinity and calcium ion concentration were measured at regular intervals over four weeks, covering sediment settlement, calcite amendment, deoxygenation and reoxygenated phases. Water exchanges with nitrogen (N2) deoxygenated seawater-maintained calcite dissolution and N2 was determined at the end of the experiment. The dataset enables reconstruction of alkalinity generation, calcium release and oxygen dynamics during enhanced benthic weathering. This is supporting the assessments of carbon dioxide removal (CDR) efficiency and benthic dynamics.

Kiel Bight microprofiling data from sediment core incubation experiment in 2025

This dataset consists of high-resolution electrochemical microprofiles of sulfide, oxygen, pH and redox potential from sediment core incubation experiment with one calcite amended and one untreated reference core. Measurements used 50 µm tip microsensors (SULF-50, OX-50, pH-50, RD-50; Unisense A/S) with a motorized micromanipulator (250 µm steps, 5.5 cm profiles). Duplicate profiles were measured and this dataset resolves vertical gradient across the sediment-water interface. These datasets provide insights into how carbonate addition alters redox stratification and pH-dynamics in benthic systems following perturbation of temporal equilibrium, supporting interpretation of associated microbial community and activity data.

Experimental data on enhanced benthic weathering in Baltic Sea sediments from winter 2025

This data collection comprises sedimentary porewater, solid-phase, microprofile measurements, cell counts and microbial sulfate reduction rates, from a calcite amendment laboratory experiment. The sediment cores for the experiment were collected in Kiel Bight in February 2025 (cruise L25-02b). For that, six sediment cores were collected and kept in MUC core liner in the dark in the cool room at 8°C for the timespan of the experiment at GEOMAR, Kiel. Furthermore, water sample data from within the core liner were taken at regular timesteps. Three sediment cores were incubated with 7.86 g of grounded limestone (>99% calcium carbonate) distributed at the sediment surface; additional three unamended treatments were used as reference. All sediment cores were kept under controlled oxygen depletion and subsequent reoxidation cycles. Data includes organic carbon (COrg), calcium carbonate (CaCO3), sulfur (S, %) and data from sequential iron (Fe) extraction from solid-phase, calcium ions, Fe total, manganese (Mn) total (ICP-OES), sulfate (ion chromatography, IC), total alkalinity, hydrogen sulfide and nutrients from porewaters as well as sulfate reduction rates. Bottom water chemistry on top of the sediment core was monitored via optical oxygen sensors, alkalinity was titrated, calcium ion concentrations determined over time and dinitrogen was measured at the end of the experiments. High resolution electrochemical microprofiles resolved vertical gradients of sulfide, oxygen, pH and redox across the sediment-water interface. These datasets enable assessments of calcite dissolution, alkalinity generation and microbial responses to enhanced benthic weathering in seasonally hypoxic Baltic Sea sediments.

Lipid metabolism in Decapods: morphometric data and total lipid content

Lipid metabolism in Decapods: activity of the enzyme diacylglycerol acyltransferase (DGAT)

Lipid metabolism in Decapods: DGAT activity, total lipid content, transcripts of relevant enzymes

The storage lipid metabolism of two caridean shrimp species (Crangon crangon and Pandalus montagui) was studied through a combination of enzyme assays, total lipid determination and transcriptome analyses. The initital sampling was carried out in June, July and August 2021 by the research vessel R/V Uthörn. Freshly caught shrimps from the North Sea were measured, weighted and dissected and brought back to the laboratory facilites of the Alfread-Wegener-Institute, Bremerhaven, Germany. Individual midgut glands were weighted to determine the wet mass and freeze-dried. Dry mass was termined and lipids were extracted after Hagen (2000, see in Postel et al. 2000). The total lipid content of individual midgut glands of Crangon crangon and Pandalus montagui was determined gravimetrically. The synthesis of the storage lipid triacylglycerol (TAG) was measured in pooled microsomal fraction of midgut gland tissue of both shrimp species through the activity of the enzyme diacylglycerol acyltransferase (DGAT) at 37 °C in a water bath (McFie & Stone 2011). Here a fluorescent activated fatty acid (NBD-palmitoyl-CoA, 810229 Avanti Polar Lipids) was used. Lipids in the reaction mix were extracted and lipid classes separated on a thin layer chromatography plate. DGAT activity was measured through arbitrary fluorescent units (AFU/min/mg protein) of the correscponding TAG product. Annotated transcriptomes of both species (C. crangon Bioproject: PRJNA479562, NCBI; P. montagui Bioproject PRJNA798226, NCBI) were screened for enzymes involved in the lipid metabolism. Transcripts identified as relevant enzymes using BLAST were translated into amino acid sequences.

Genomics biomarkers of environmental health (ENVIROGENOMARKERS)

Objective: This project concerns the first large-scale application of the full range of omics technologies in a population study aiming at a) the discovery and validation of novel biomarkers predictive of increased risks of a number of chronic diseases, b) the exploration of the association of such biomarkers with environmental exposures, including high-priority pollutants and emerging exposures, and c) the discovery and validation of biomarkers of exposure to the above and other high-priority environmental exposures. The project will utilise three existing prospective cohorts. Cancer-related -omics biomarkers will be developed using a case-control study nested within 2 cohorts which contain biosamples collected prior to disease diagnosis, exposure and followup health information. Biomarkers will be compared in 600 breast cancer cases, 300 NHL cases and equal numbers of matched controls, to evaluate their risk predictivity. Biomarkers of chronic diseases which establish themselves in early childhood but persist into adult life will be evaluated using a mother-child cohort. Biosamples collected from 600 children at birth and at ages 2 and 4 years will be analysed and results compared with clinical indices obtained at age 4. Thanks to the availability of repeat samples, collected over a wide range of time intervals, the intra-individual variation of biomarkers and their relationship with disease progression will be evaluated. Biomarker search will utilize state-of-the-art metabonomics, epigenomics, proteomics and transcriptomics, in combination with advanced bioinformatics and systems biology tools. It will also include technical validation of -omics technology s utilisation with biobank samples. Exposure assessment will utilize exposure biomarkers, questionnaires, modelling and GIS technology. Additional data on exposure, biomarkers (including SNP data) and health indices, available through other projects, will be utilised, thus generating substantial added value.

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