The CRM-geothermal database was created within the Horizon Europe CRM-geothermal project (Grant Agreement No. 101058163) to support the assessment of geothermal systems as sources of both renewable energy and critical raw materials (CRMs). The primary purpose of data collection was to compile, harmonise, and make openly available geoscientific and geochemical data relevant to the occurrence, enrichment, and potential co-production of CRMs from geothermal environments in Europe and East Africa. The database integrates legacy data compiled from peer-reviewed literature, national geological and geothermal databases, and previous European research projects (notably REFLECT), together with new data generated by project partners through field sampling and laboratory analyses. Sampling campaigns targeted geothermal wells and surface manifestations in selected regions, including Türkiye, the East African Rift (Kenya, Tanzania, Malawi), Cornwall (UK), and Iceland. Laboratory analyses include major ion chemistry, trace and critical element concentrations, mineralogical composition, and gas data, determined using methods such as ICP-MS, XRF, and XRD. All records were harmonised using a unified metadata schema, standardised units, and consistent reporting formats. Quality control involved automated validation routines and manual expert review. Each record includes spatial coordinates, sampling context, analytical method, references, and a quality flag indicating data origin and traceability. The database is provided as a structured Excel file and contains interconnected datasets on geothermal wells, fluids, rocks, gases, and mineral precipitates. In total, the dataset comprises 9,773 records covering a wide range of geological settings, from volcanic and metamorphic systems to sedimentary basins. The CRM-geothermal database is FAIR-aligned, openly available, and intended for reuse in geothermal research, resource assessment, and studies on the sustainable co-production of geothermal energy and critical raw materials. Method: The CRM-geothermal database was compiled using a combined approach integrating literature-based data collection, database harmonisation, and new data generation through field sampling and laboratory analysis. Legacy data were collected from peer-reviewed scientific publications, national geological and geothermal databases, technical reports, and previous European research projects, with a particular emphasis on the REFLECT project. Relevant parameters were manually extracted, digitised where necessary, and cross-checked against original sources to ensure consistency and traceability. New data were generated within the CRM-geothermal project through targeted sampling campaigns at selected geothermal sites in Europe and Eastern Africa. Samples of geothermal fluids, rocks, gases, and mineral precipitates were collected from wells and surface manifestations following standard geochemical sampling protocols. Laboratory analyses were performed by project partner institutions using established analytical techniques, including inductively coupled plasma mass spectrometry (ICP-MS) for trace and critical elements, X-ray fluorescence (XRF) for bulk chemical composition, and X-ray diffraction (XRD) for mineralogical characterisation. Gas compositions were determined using gas chromatography and noble gas mass spectrometry where applicable. Detection limits and analytical uncertainties follow laboratory-specific standards and are documented where available. All data were harmonised using a unified metadata schema. Units, parameter names, and reporting formats were standardised, and spatial information was converted to WGS 84 decimal degrees. Quality control was applied through automated validation scripts checking metadata completeness, coordinate validity, and numerical plausibility, followed by manual expert review to ensure scientific coherence and correct sample attribution. The final dataset was organised into interconnected thematic tables (wells, fluids, rocks, gases, and scales) and exported as a structured Excel file for dissemination. Each record includes references, analytical method information, and a quality flag indicating data origin and traceability. Technical Info: The CRM-geothermal data publication is provided as a structured multi-sheet Excel (XLSX) file representing a curated snapshot of the CRM-geothermal database at the time of publication. The dataset was generated through controlled export workflows following data validation and harmonisation. The Excel file contains separate worksheets for thematic data tables (wells, fluids, rocks, gases, and mineral precipitates). Each worksheet preserves unique identifiers, standardised metadata fields, and cross-references between related records, allowing the dataset to be used independently of any external system or software platform.
In dem geplanten Vorhaben werden vorrangig drei Ziele verfolgt: 1. Aufbau und Inbetriebnahme einer Anlage zur Untersuchung von Böden mit einem laserspektroskopischen Meßsystem zur optischen Charakterisierung der organischen Bodensubstanz und zur isotopenselektiven Bodengas-Bestimmung mit durch stimmbaren Diodenlasern im Nahinfrarot Spektralbereich. 2. Untersuchung der Humus-Eigenschaften und dem Einfluß variierender CO2-Konzentrationen in der Bodenluft. Dazu werden CO2-Inkubationsexperimente in einer Bodenkammer durchgeführt und die Humus-Stabilität unter Berücksichtigung chemischer, mikrobiologischer und pflanzlicher Gegebenheiten untersucht. 3. Im Rahmen interdisziplinärer Kooperationsvorhaben mit Arbeitsgruppen innerhalb und außerhalb des Schwerpunktprogramms werden Bodenproben untersucht, die z.B. aus Freilandexperimenten mit erhöhten atmosphärischen CO2-Konzentrationen stammen. Der Humus/Bodengas-Monitor als leistungsfähiges Meßsystem zur Humus-Charakterisierung wird in das Schwerpunktprogramm eingebracht, weiterentwickelt und auch anderen Arbeitsgruppen für Labor- und Freilandexperimente zur Verfügung gestellt.
Water sampling was conducted during AL575 cruise in the North Sea by using Niskin Bottles attached to CTD/Water sampler rosette and ROV (Haeckel and Schmidt, 2024). To detect methane anomalies in the water column derived from seafloor gas emissions the recovered water samples were processed by using headspace gas sampling and subsequent gas chromatographic analysis. Based on measured methane concentrations of headspace gas in (micro-atm) the dissolved methane concentrations in water were calculated (nmol l-1).
Soil cores for microbial, dissolved gas concentrations and isotopic analysis were taken using a Russian type peat corer (De Vleeschouwer et al. 2010) before and after rewetting. Each time, we took duplicates at stations 1-8 for this rather labor-intensive process and divided the core into four depth sections: surface, 5–20, 20–40 and 40–50 cm. Subsamples for dissolved gases and stable carbon isotope analyses were taken with tip-cut syringes with a distinct volume of 3 ml (Omnifix, Braun, Bad Arolsen, Germany) and immediately placed into NaCl-saturated vials (20 ml, Agilent Technologies, 5182-0837, Santa Clara, USA) leaving no headspace and closed gas-tight using rubber stoppers and metal crimpers (both: diameter 20 mm, Glasgerätebau Ochs, Bovenden, Germany).
The rewetting of drained peatlands is a promising measure to mitigate carbon dioxide (CO2) emissions by preventing the further mineralization of the peat soil through aeration. While freshwater rewetted peatlands can be significant methane (CH4) sources in the short-term, in coastal ecosystems the input of sulfate-rich seawater could potentially mitigate these emissions. The purpose of the data collection was to examine whether the presence of sulfate, known as an alternative electron acceptor, can cause lower CH4 production and thus, emissions by favoring the growth of sulfate-reducers, which outcompete methanogens for substrate. We therefore investigated underlying variables such as the methane-cycling microbial community along with CH4 fluxes and set them in context with CO2 fluxes along a transect in a coastal peatland before and directly after rewetting. In this way, a conclusion about the short-term greenhouse gas mitigation potential of brackish water rewetting of coastal peatlands could be drawn. This data collection consists of six data sets, with direct comparisons before and after rewetting of CO2 and CH4 fluxes (Tab. 2) and associated microbial communities (Tab. 1) being the main data. Pore water geochemistry (Tab. 1 and 3) and surface water parameters (Tab. 4) were collected simultaneously to provide potential explanatory variables. The sampling of continuous water level (Tab. 5) within wells and atmospheric weather data (air and soil temperature, relative humidity, photosynthetic photon flux density; Tab. 6) from a weather station was done in addition. Measurements started in June/July/August 2019 after field installation was finalized and were conducted on the drained coastal fen "Polder Drammendorf" on the island of Rügen in North-East Germany. On 26th November 2019, the dike was opened and channeled in order to rewet the peatland with brackish water. Before, the dike separated the peatland from the adjacent bay "Kubitzer Bodden", which is part of a brackish lagoon system connected to the Baltic Sea. Therefore, the peatland was nearly completely flooded and now resembles a shallow lagoon with high fluctuating water levels. We measured along a humidity (pre-rewetting)/water level (post-rewetting) gradient (stations 0-8) towards and across the main North-South oriented drainage ditch, including four stations on the Eastern side of the ditch (1–4), two ditch stations (0, 5) and two stations (6, 7) on the Western side of the ditch. Station 8 was chosen as an additional station farther towards the adjacent bay on the Western side, but was only accessible before rewetting. CH4 and CO2 fluxes (stations 0-7) were calculated from online gas concentrations measurements using laser-based analyzers and manual closed chambers (Livingston, G. P., & Hutchinson, G. (1995). Enclosure-based measurement of trace gas exchange: Applications and sources of error. In P.A. Matson, & R.C. Harriss (Eds.). Biogenic trace gases: Measuring emissions from soil and water (pp. 14–51). Blackwell Science Ltd., Oxford, UK). Soil cores for microbial, dissolved gas concentrations and isotopic analysis were taken using a Russian type peat corer (De Vleeschouwer, F., Chambers, F. M., & Swindles, G. T. (2010). Coring and sub-sampling of peatlands for palaeoenvironmental research. Mires and Peat, 7, 1–10) before and after rewetting. Each time, we took duplicates at stations 1-8 for this rather labor-intensive process and divided the core into four depth sections: surface, 5–20, 20–40 and 40–50 cm. Subsamples for dissolved gases and stable carbon isotope analyses were taken with tip-cut syringes with a distinct volume of 3 ml (Omnifix, Braun, Bad Arolsen, Germany) and immediately placed into NaCl-saturated vials (20 ml, Agilent Technologies, 5182-0837, Santa Clara, USA) leaving no headspace and closed gas-tight using rubber stoppers and metal crimpers (both: diameter 20 mm, Glasgerätebau Ochs, Bovenden, Germany). Absolute abundances of specific functional target genes, including methane- and sulfate-cycling microorganisms, were measured with quantitative PCR (qPCR) after DNA was extracted (GeneMATRIX Soil DNA Purification Kit, Roboklon, Berlin, Germany) and quantified (Qubit 2.0 Fluorometer, ThermoFisher Scientific, Darmstadt, Germany). Surface and pore water parameters were measured in parallel to the gas measurements and soil coring for microbial analyses. Most surface water variables (pH, specific conductivity, salinity, nutrients, oxygen, sulfate and chloride concentrations, DOC/DIC) were measured in-situ using a multiparameter digital water quality meter or taken to the laboratory as water samples for further analysis. Likewise, pore water/soil variables (pH, specific conductivity, nutrients, metals, sulfate and chloride concentrations, CNS) were either measured in-situ or taken to the laboratory as soil samples. While surface water analysis was only conducted in the drainage ditch before rewetting, it was done along the entire transect after rewetting. In contrast, pore water/soil analysis was mostly conducted before rewetting and only repeated occasionally after rewetting where possible.
Nachweis aller im Rauchgas/Luftgemisch von Fluessiggas- und Leichtoelbrennern auftretenden Stoffe (Pb, F, CrIII, CrVI, Zn, Se, Ni, As, Hg, Cd, Mo, Sn, Cu, SO2, Hf, NOx, polycyklische Aromate) bei Variation von Luftmenge, Gas- bzw. Oelmenge und Brennereinstellung. Ermittlung der Ablagerungen aus diesem Rauchgas/Luftgemisch auf Koernerschuettungen in Satz- und Durchlauftrocknern.
Konzeptionen der Schadstoffmessung, einschliesslich Laerm und Strahlen
Unser Projekt hat folgende Ziele: 1. Die Bewertung von Managementsystemen von Palmöl-Plantagen im Hinblick auf die N2-Fixierung und die Effizienz mit der Nährstoffe genutzt und im System gespeichert werden. 2. Ableitung einer Treibhausgasbilanz auf Ökosystemebene durch die Kombination von Gasflussmessungen im Boden mit Messungen der Eddy-Kovarianz. 3. Die Bestimmung des Anteils von Nitrifikation und Denitrifikation an den N2O-Flüssen und die Quantifizierung der räumlichen und zeitlichen Variabilität von Treibhausgasflüssen im Boden. 4. Die Bewertung des Beitrags von Flussufer- und -Auenbereichen sowie Baumstammemissionen zur Treibhausgasbilanz auf Landschaftsebene.
Konzeptionen der Schadstoffmessung, einschliesslich Laerm und Strahlen
Das Institut für Abfall- und Kreislaufwirtschaft verfügt seit dem Jahr 2010 über eine 'Kleintechnische Vergärungsversuchsanlage' (KTVA) zur Durchführung langfristiger, anaerober Vergärungsversuche im kontinuierlichen Vergärungsverfahren. Hauptbestandteil ist ein Edelstahlreaktor (Vol. = 1.100 l), welcher beheizbar, durchmischbar und kontinuierlich beschickbar ist. Zusätzlich verfügt die KTVA über einen Vorlage- bzw. Hydrolysebehälter und einen Nachgärbehälter. Derzeit befindet sich die KTVA im Probebetrieb und wird zeitnah für orientierende Versuche genutzt. Mit Hilfe kontinuierlicher Messungen der Zusammensetzung des produzierten Biogases können die Vergärungsprozesse überwacht und optimiert werden.
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