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This dataset is the result of an experimental series that was carried out in September/October 2022 at GFZ German Research Centre for Geosciences, Potsdam, Germany to observe biosorption of lead under extreme conditions. Synthetic solutions, simulating the geothermal fluids from the Heemskerk geothermal power plant were were prepared in 30 ml glass vials (Rotalibo screw neck ND24 EPA). To prepare the stock solutions, sodium chloride (NaCl, 99.8 %, Cellpure, Merck, DE) was added at 265 g/L and Pb(II), in form of lead nitrate (Pb(NO3 )2 , Merck, DE), at 1 g/L to ultrapure water. To assess the impact of acetic acid on lead biosorption, two treatments were done: one without acetic acid and one where acetic acid (100 %, Merck, DE) was added at 60 mg/L. Finally, dead biomass of the fungus Penicillium citrinum was added in the samples at a concentration of 4 g/L (Wahab et al., 2017). The samples were incubated in an autoclave at a pressure of 8 bars on a rotative shaker. The temperature was set at 25 °C, 60 °C or 98 °C with three contact times (1, 2 and 3 h). All treatments were performed in triplicates. For each treatment, two controls without biomass were done. Control samples without the addition of NaCl were done in duplicate, at 25 °C and for 2 h. After incubation, samples were filtered through a 0.22 µm nitrocellulose filter (Sartorius Stedim Biotech, FR) to separate the biomass from the liquid. The biomass on the filters was dried for 24 h at 45 °C before being scraped from the filter and kept in a Falcon tube at room temperature.
This dataset comprises 47 fluid samples from 11 geothermal sites (Germany, Austria, Iceland, Turkey, Netherlands, Belgium, French West Indies). The samples were collected within the REFLECT project (Redefining geothermal properties at extreme conditions to optimize future geothermal energy extraction). The focus with these analyses were on the organic compound composition of the fluids, since they are rarely included in the analyses of fluids taken from geothermal power plants. Understanding the organic compound composition of geothermal fluids might help to better understand chemical reactions within the fluids and might help to mitigate problems that arise with the operation of a geothermal power plant such as mineral precipitation (scaling) and corrosion of the casing and pipes.
This data was collected to write an extensive review on organic compounds in geothermal fluids as part of the REFLECT (Redefining geothermal fluid properties at extreme conditions to optimize future geothermal energy extraction). The data is mainly focussed on geothermal sites were organic compound data was reported in the literature. It includes data from the literature (Feldbusch, 2016; Vetter, 2012; Brehme et al., 2019; Westphal et al., 2019; Sanjuan et al., 2016) as well as own data that was analysed at the GFZ German Research Centre for Geosciences in section 3.2 (Organic Geochemistry). It comprises 130 samples from 19 different sites including DOC, organic acid anion as well as main inorganic anion concentrations, well depths, and reservoir temperatures of various geothermal sites in Europe. Due to confidentiality agreements Site names are all given in ID’s which are fully explained in the publication “Organic compounds in geothermal fluids – a review” when available. Sample ID’s are also given if the samples, both from the literature or own samples were measured at GFZ German Research Centre for Geosciences. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement nº 850626 (REFLECT).
Bulk seawater, surface microlayer, ice core and brine samples from the Arctic, the North and Tropical Atlantic and Raunefjorden were investigated on their sugar concentrations. Free neutral monosaccharides (DFCHO) and combined monosaccharides/polysaccharides (CCHO) were determined using high performance anionic exchange chromatography with pulsed amperometric detection (HPAEC-PAD) and electro-dialysis for prior desalination.
Nationales Programm zur Erhaltung pflanzen-genetischer Ressourcen bei diversen Obstarten bei Apfel, Birne, Marille, Kirsche, Walnuss.
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