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We measured Sn, Fe and Hg content as well as grain size composition of soil cores and streambed samples from the floodplain of the Röslau River (Bavaria, Germany), in order to reconstruct the floodplain development and chemical antropogenic impacts. The samples were collected in 2023 and analysed in 2023/24 using aqua regia digestion and ICP-OES/ICP-MS to analyse the elemental composition. To prepare the samples, the sediment was sieved (2 mm) to discard the gravel fraction and large organic pieces. Further homogenisation was undertaken by grinding the samples with a vibratory mill. Grain sizes were obtained using a combination of sieving and laser diffraction (Microtrac particle analyser; Microtrac Retsch GmbH SYNC SN 0233).
Video transects were done using the A.IKANBILISTM hovering autonomous underwater vehicle (HAUV) of the company BeeX (https://beex.sg/a-ikanbilis/), which flew over the reefs along predefined transects at a depth of 0.5m above seabed and at a speed of 1 m s-1. From the dive videos of the HAUV, SBIs were extracted every 5 seconds. SBIs, each SBI features two parallel laser lines 25 cm away from each other. The camera used was a GoPro, the videos and pictures were taken perpendicularly to the seabed. The seabed images provide insights into the general composition of key species, higher systematic groups and ecological guilds. The images contain information on how benthic species are associated to each other. Transect files include individual images, whereas metadata of each image includes diving depth, date/time of transect. Geographical coordinates of some individual images is unavailable, images have a resolution of 300dpi and a size of 7 to 13 MB.
This dataset contains geochemical variables measured in six depth profiles from ombrotrophic peatlands in North and Central Europe. Peat cores were taken during the spring and summer of 2022 from Amtsvenn (AV1), Germany; Drebbersches Moor (DM1), Germany; Fochteloër Veen (FV1), the Netherlands; Bagno Kusowo (KR1), Poland; Pichlmaier Moor (PI1), Austria and Pürgschachen Moor (PM1), Austria. The cores AV1, DM1 and KR1 were taken using a Wardenaar sampler (Royal Eijkelkamp, Giesbeek, the Netherlands) and had diameter of 10 cm. The cores FV1, PM1 and PI1 had an 8 cm diameter and were obtained using an Instorf sampler (Royal Eijkelkamp, Giesbeek, the Netherlands). The cores FV1, DM1 and KR1 were 100 cm, core AV1 was 95 cm, core PI1 was 85 cm and core PM1 was 200 cm. The cores were subsampeled in 1 cm (AV1, DM1, KR1, FV1) and 2 cm (PI1, PM1) sections. The subsamples were milled after freeze drying in a ballmill using tungen carbide accesoires. X-Ray Fluorescence (WD-XRF; ZSX Primus II, Rigaku, Tokyo, Japan) was used to determine Al (μg g-1), As (μg g-1), Ba (μg g-1), Br (μg g-1), Ca (g g-1), Cl (μg g-1), Cr (μg g-1), Cu (μg g-1), Fe (g g-1), K (g g-1), Mg (μg g-1), Mn (μg g-1), Na (μg g-1), P (μg g-1), Pb (μg g-1), Rb (μg g-1), S (μg g-1), Si (μg g-1), Sr (μg g-1), Ti (μg g-1) and Zn (μg g-1). These data were processed and calibrated using the iloekxrf package (Teickner & Knorr, 2024) in R. C, N and their stable isotopes were determined using an elemental analyser linked to an isotope ratio mass spectrometer (EA-3000, Eurovector, Pavia, Italy & Nu Horizon, Nu Instruments, Wrexham, UK). C and N were given in units g g-1 and stable isotopes were given as δ13C and δ15N for stable isotopes of C and N, respectively. Raw data C, N and stable isotope data were calibrated with certified standard and blank effects were corrected with the ilokeirms package (Teickner & Knorr, 2024). Using Fourier Transform Mid-Infrared Spectroscopy (FT-MIR) (Agilent Cary 670 FTIR spectromter, Agilent Technologies, Santa Clara, Ca, USA) humification indices (HI) were determined. Spectra were recorded from 600 cm-1 to 4000 cm-1 with a resolution of 2 cm-1 and baselines corrected with the ir package (Teickner, 2025) to estimate relative peack heights. The HI (no unit) for each sample was calculated by taking the ratio of intensities at 1630 cm-1 to the intensities at 1090 cm-1. Bulk densities (g cm-3) were estimated from FT-MIR data (Teickner et al., in preparation).
In einer Zusammenarbeit der Physikalischen und Theoretischen Chemie und der Analytischen Chemie der BUW ist es 2005 gelungen, neben den etablierten Atmosphärendruck-Ionisationsverfahren ESI, APCI und APPI eine vierte AP Methode einzuführen, die auf der Laserionisation basiert (Atmospheric Pressure Laser Ionization, APLI). Das Verfahren hat ein sehr großes Potential im Bereich der Ultra-Spurenanalytik in der Gas- und Flüssigphase und findet zurzeit international größere Beachtung. Mit Hilfe der APLI werden völlig neue Ansätze in der Atmosphärendruck-Massenspektrometrie möglich. Diese sollen in den kommenden Jahren mit Nachdruck verfolgt werden. Die APLI Methode verbindet die Massenspektrometrie sowohl mit den chromatographischen Methoden HPLC, CE, als auch GC. Darüber hinaus kann sie direkt an Reaktoren gekoppelt werden, die bei Atmosphärendruck operieren und ist damit optimal für den Einsatz in atmosphärisch-chemischen Untersuchungen geeignet.
The GBL (INSPIRE) represents mechanically drilled boreholes approved by the State Geological Surveys of Germany (SGS). Most of the drilling data were not collected by the SGS, but were transmitted to SGS by third parties in accordance with legal requirements. Therefore, the SGS can accept no responsibility for the accuracy of the information. According to the Data Specification on Geology (D2.8.II.4_v3.0) the boreholes of each federal state are stored in one INSPIRE-compliant GML file. The GML file together with a Readme.txt file is provided in ZIP format (e.g. GBL-INSPIRE_Lower_Saxony. zip). The Readme.txt file (German/English) contains detailed information on the GML file content. Data transformation was proceeded by using the INSPIRE Solution Pack for FME according to the INSPIRE requirements.
Grainsize data supports palaeoclimatic reconstruction of glacial/interglacial cycles for the Middle Pleistocene sediment record from the crater basin of Rodderberg, Germany. A sediment record measuring 72.8 m in length was retrieved by employing wire-line drilling techniques, utilising 3 m-long liners, from the silted-up crater basin of Rodderberg (East Eifel Volcanic Field) in the vicinity of the city of Bonn, Germany. For the purpose of grainsize analysis, the composite record ROD11 was systematically subsampled at a spatial resolution of 2 cm and examined through a laser diffraction particle size analyser (Beckman Coulter LS 13320). The resulting sedimentological data characterise glacials as silt-dominated (aeolian sediments: loess), interglacials as sand-dominated (runoff-related deposits from the step crater walls) and clay dominance for the Holocene soil. The terrestrial sediment record has been evaluated through multiple dating techniques and it provides a comprehensive environmental reconstruction since the Middle Pleistocene, thus providing valuable insights into the region's climate history.
Video transects were done using the A.IKANBILISTM hovering autonomous underwater vehicle (HAUV) of the company BeeX (https://beex.sg/a-ikanbilis/), which flew over the reefs along predefined transects at a depth of 0.5m above seabed and at a speed of 1 m s-1. From the dive videos of the HAUV, SBIs were extracted every second. Each SBI features two parallel laser lines 30 cm away from each other. The camera used was a GoPro, the videos and pictures were taken perpendicularly to the seabed. The seabed images provide insights into the general composition of key species, higher systematic groups and ecological guilds. The images contain information on how benthic species are associated to each other. Transect files include individual images, whereas metadata of each image includes diving depth, date/time of transect. Geographical coordinates and time of individual images is unavailable, images have a resolution of 300dpi and a size of 9 to 13 MB.
The Weser estuary at the German North Sea coast serves as a fairway to the harbours of Bremerhaven and Bremen. To ensure safe shipping and navigation, the navigation channel depths are nowadays intensively monitored, and have been so in the past. These are valuable data for consulting and research purposes, and enables investigations leading to a better understanding of hydrodynamics, salt intrusion and morphological processes in the estuary, in the present as well as the past. For recent years, thanks to modern monitoring techniques and digitalization, measuring data has been compiled to consistent digital terrain models of high quality and accuracy. For time periods before the 1990ies however, measurements were scarcer and the data are available only in form of printed bathymetrical and nautical charts. The objective of the project “Historical system states of the Weser estuary (HIWEST)” was to: • digitalize depths measurements starting from 1960, • georeference the data points and • process and compile them to digital terrain models that can be used for research and consulting. The project was led and financed by the Federal Waterways Engineering and Research Institute (BAW). It was supported by the Federal Maritime and Hydrographic Agency (BSH) and by the German Water and Shipping Administration (WSV) who provided printed charts and scanned data sets. The smile consulting GmbH was contracted to process the data and compile digital terrain models. One of the main challenges of the project was georeferencing. While georeferencing and projecting in the horizontal domain was comparatively straightforward, the transformation of depths below different chart datums to the Germans mean height reference system represented a challenge. This was accomplished by an algorithm considering spatial polygons provided by BSH and further meta information on the different levelling systems. The accuracy of the data sets differs depending on the quality of the original data. Since the 1990ies, powerful measurement methods such as airborne laser scanning (ALS) and multibeam echo-sounding has led to high resolutions and high data accuracy. In past surveys, the depths were measured in single-beam echo-soundings, often along individual cross sections, and there is no information between these soundings. As a result, the older terrain models are much smoother then the newer ones and contain less detailed information. More technical details can be found in the appendix of the technical report. The following digital terrain models (DTM, in the following the German abbreviation DGM is used) of the Lower and Outer Weser estuary were made available: • DGM 1966, marking the situation before deepening the Outer Weser to SKN-12 m</li> • DGM 1972, marking the situation before deepening the Lower Weser to SKN-9 m</li> • DGM 1981, marking the situation before extensive river works in the Lower Weser</li> • DGM 1996, marking the situation before deepening the Outer Weser to SKN-14 m</li> • DGM 2002, marking the situation after deepening the Outer Weser to SKN-14 m, reference digital terrain model. The years were chosen so they would represent consistent periods not affected by constructive engineering measures such as channel deepenings, and secondly based on optimal data availability. Each data set however consists not only of data from the respective year, but data had to be added from adjacent years. To close gaps, data from recent surveys were used. The data sets span the whole estuary from the North Sea to the tidal weir in the city of Bremen and are available as 1x1 m raster data sets. How to cite the HIWEST data: <strong style="color: red;"> The data set is only to be quoted together with the Technical Report.</strong> Report: Bundesanstalt für Wasserbau (2020): Historical digital terrain models of the Weser Estuary (HIWEST). Technical Report B3955.02.04.70168-6. Bundesanstalt für Wasserbau. https://henry.baw.de/handle/20.500.11970/107521 Data set: Bundesanstalt für Wasserbau (2020): Historical digital terrain model data of the Weser Estuary (HIWEST) [Data set]. Bundesanstalt für Wasserbau. https://doi.org/10.48437/02.2020.K2.5200.0001
Dieser Datensatz beinhaltet semantisch und strukturell harmonisierte Bohrdaten aus einem gesamten Bundesland der Bundesrepublik Deutschland, die von einem der Staatlichen Geologischen Diensten der Länder (SGD) bereitgestellt werden. In Deutschland sind die SGD für die Speicherung, Archivierung und Weitergabe der Informationen über alle mechansich abgeteuften Bohrungen zuständig. Die Bohrungsdaten wurden überwiegend gemäß Geologiedatengesetz von Dritten an die SGD übermittelt. Die SGD können daher keine Gewähr für die Richtigkeit der Informationen übernehmen. Im Rahmen einer dauerhaften Kooperation werden die Bohrdaten in generalisierter Form über das Austauschformat BoreholeML bei der BGR zentral zusammengeführt und veröffentlicht. Der Geodatensatz beinhaltet Stammdaten der Bohrungen, Bohrtechnik-, Schicht-, Ausbau-, Grundwasser-, Probendaten sowie ggf. deren Auswertung und gewonnene Daten aus Bohrlochmessverfahren. Die gleichen Informationen sind auch abrufbar in der Bohrpunktkarte Deutschland unter https://boreholemap.bgr.de. Erläuterungen zum Datenmodell BoreholeML finden sich unter https://schemas.bgr.de/boreholeml/
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