API src

Found 2006 results.

Related terms

Other language confidence: 0.5155318776762075

Hydrobiid mudsnail image dataset: Raw stereomicroscope, processed, and segmented images of abundant brackish snails from a mesocosm experiment with multiple temperature treatments

We examined the growth response of a brackish snail (Hydrobiidae) against multiple temperature treatments in a mesocosm located beside the Alfred Wegener Institute Wadden Sea Station on Sylt (55°01′19.2″N, 8°26′17.7″E). Bulk sediments were collected south of Pellworm (54° 31' 55.83"N, 8° 42' 40.36"E) at low tide on March 22, 2022, transferred to mesh-lined crates and introduced to mesocosm tanks (170 cm × 85 cm × 1800 L). Experimental warming treatments were conducted using three heaters per tank (Titanium heater 500 W, Aqua Medic, Bissendorf, Germany). The full specifications for the mesocosms are already published (Pansch et al., 2016). Throughout the experimental warming period, four sampling events (March 30, April 25, May 24, June 20) were conducted to core sediments. Sediment cores were washed and sieved (1mm mesh size) to disaggregate infauna. Individuals were separated for the common hydrobiid mudsnail, which were subsequently imaged in groups on a typical petri plate under stereomicroscopy. A semi-automatic object segmentation and size measurement approach was developed to rapidly differentiate and measure individuals from images. Segmentation was highly accurate and precise against manual length measurements (end-to-end; mm) collected in ImageJ for 4595 snails. Scaling the segmentation method across the full dataset estimated >40,000 snails and presented a complex species-specific response to warming. The enclosed dataset represents all raw, processed, and segmented images (n= 3201) produced by this study.

Ahr river overbank sediments: XRF elemental composition data set (Mayschoß-Transect, core Ahr2022-1_1, Ahr2022-1_2, Ahr2022-2_1, Ahr2022-2_2)

The elemental composition of samples from four sediment cores from the Mayschoß floodplain (Ahr river) was determined by X-ray fluorescence spectrometry (XRF). In the first step of preparation, large organic matter and pebbles were removed from freeze-dried samples (8 g) by sieving (2 mm). Subsequently, the samples were powdered and homogenised with vibratory Retsch mill MM 200. The uniform pills for the analysis were pressed with a carbon-based binding agent by Vaneox press at 20 t for 2 min. The elemental analysis of 50 elements was conducted in a He atmosphere using a Spectro Xepos energy dispersive XRF spectrometer. The surface elevation was extracted from Brell et al. (2023).

Elementkarte der Digitalen Lithogeochemischen Karte von Bayern 1:25.000 (dLGK25) - Titandioxid (P90)

Die Elementkarte stellt die räumliche Verteilung der klassifizierten Gehalte des 90. Perzentils von Titandioxid (in Gew.-%) innerhalb der 184 geochemischen Gesteinseinheiten in Bayern dar. In die Auswertung gehen dabei nur die Daten der ersten (von maximal drei) Lithologien einer geochemischen Gesteinseinheit ein. Für Informationen im Hinblick auf die Auswertung der Daten sowie auf die kartenmäßige Darstellung wird auf die Metadaten der digitalen Lithogeochemischen Karte 1:25 000 von Bayern (dLGK25) verwiesen.

Elementkarte der Digitalen Lithogeochemischen Karte von Bayern 1:25.000 (dLGK25) - Titandioxid (P50)

Die Elementkarte stellt die räumliche Verteilung der klassifizierten Gehalte des 50. Perzentils von Titandioxid (in Gew.-%) innerhalb der 184 geochemischen Gesteinseinheiten in Bayern dar. In die Auswertung gehen dabei nur die Daten der ersten (von maximal drei) Lithologien einer geochemischen Gesteinseinheit ein. Für Informationen im Hinblick auf die Auswertung der Daten sowie auf die kartenmäßige Darstellung wird auf die Metadaten der digitalen Lithogeochemischen Karte 1:25 000 von Bayern (dLGK25) verwiesen.

Moosmonitoring 1995/96, Untersuchungen der Schwermetallgehalte in Moosen, Titan in Moosen, Einzelelementkarten

In der Bundesrepublik Deutschland wurden von 1990 bis 2005 in fünfjährigem Abstand sowie in den Jahren 2015/16 und 2020/21 Untersuchungen zur Bestimmung der Inhaltsstoffe von Moosen durchgeführt. Schwerpunkt war die Analyse von Schwermetallen, ab 2005/06 auch von Sticksoff. Seit 2015/16 wurde das Stoffspektrum auf persistente organische Stoffe (POP) und Mikroplastik ausgeweitet. Dieses „Moosmonitoring“ ist der deutsche Beitrag zum europäischen Moosmonitoringprogramm, welches durch das „Internationale Kooperativprogramm zur Wirkung von Luftverunreinigungen auf die natürliche Vegetation und auf landwirtschaftliche Kulturpflanzen“ („International Cooperative Programme on Effects of Air Pollution on Natural Vegetation and Crops“, kurz: ICP Vegetation) der Genfer Luftreinhaltekonvention (Convention on Long-range Transboundary Air Pollution, CLRTAP) koordiniert wird. Mit der Durchführung der einzelnen Probenahmekampagnen sowie der Auswertung der Untersuchungsergebnisse wurden durch das Umweltbundesamt (UBA) wechselnde Institutionen beauftragt, so die Bundesanstalt für Geowissenschaften und Rohstoffe (BGR) mit dem Moosmonitoring 1995/96. Die Ergebnisse der nachfolgenden Monitoringjahre hat das Umweltbundesamt veröffentlicht. Sie sind abrufbar unter https://www.umweltbundesamt.de/daten/luft/bioindikation-von-luftverunreinigungen. Das Moos-Monitoring 1995/96 ist mit 1026 Standorten neben dem Moos-Monitoring 2000 das mit der größten Probenahmedichte und mit 40 analysierten Elementen das mit dem größten Untersuchungsspektrum. Obwohl die in den Jahren 1998 und 1999 fertiggestellten Forschungsberichte (Siewers & Herpin, 1998; Siewers, Herpin & Straßburg, 1999) eine Auswertung (Kurzbeschreibung, statistische Maßzahlen, Verteilungskarten) aller 40 analysierten Elemente enthalten, wurden bislang nur die Daten von 12 der analysierten Elemente veröffentlicht. Darüber hinaus wurden im Jahr 2007 die im Ergebnis der Analytik vorliegenden Rohdaten aus den Laboratorien einer Neubewertung unterzogen. Daraus resultiert eine Reihe von Fehlerkorrekturen, das auswertbare Elementspektrum konnte auf 42 Elemente erweitert werden. Auch die Ergebnisse dieser Neubewertung sind bislang unveröffentlicht. Die ergänzende Bearbeitung der Daten mit modernen Verfahren bringt eine zusätzliche Aufwertung dieser. Die Downloads zeigen die Verteilung der Titangehalte in Moosen in vier verschiedenen farbigen Punkt- und Isoflächenkarten. Die Legenden der Karten sind wahlweise in der Maßeinheit µg/g oder in einer an den Gehaltsbereich des dargestellten Elements angepassten Maßeinheit abrufbar.

XRF logging data from Nussloch loess cores

The Nussloch Drilling Campaign (NUSS) involved drilling three loess sediment cores (85 mm in diameter) on April 21-25, 2019, on top of a loess hill at 49.31°N, 8.73°E, at an altitude of 215 m, close to the most recently described outcrop at the Nussloch reference site in Germany. Downhole logging was performed in the three drilling holes. Core S2, which has the most complete stratigraphy compared to previously published profiles, was analyzed using XRF core scanning. The name of the samples is given as NUSS for Nussloch, S2 for core S2, and C1-C11 for the subcore numbers. Depth is expressed in meters from the topsoil to the lowest level reached during drilling. The XRF data consists of the following elements: Na, Mg, Al, Si, P, S, Cl, K, Ca, Ti, Cr, Mn, Fe, Cu, Zn, Ni, Br, Rb, Sr, Zr, and Pb, in counts. These raw data counts are followed by the following ratios: Ca/Sr, Rb/Sr, Rb/K, Fe/Al, Fe/Mn, Si/Al, Ti/Al, Ti/Zr, Zr/Rb, and Ca/Al. Measurements were conducted every 1 cm from the top of the sub-cores. The measurements were performed with a resolution of 5mm on the AVAATECH Core Scanner at the EDYTEM laboratory in Chambéry in June 2015. This investigation aimed to conduct a comprehensive coring to acquire a sedimentary archive to ensure the preservation of this distinctive Nussloch record for future research projects.

Geochemical parameters in peat depth profiles from ombrotrophic bogs in North and Central Europe. Drebbersches Moor, Germany

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).

Geochemical parameters in peat depth profiles from ombrotrophic bogs in North and Central Europe. Fochteloër Veen, the Netherlands

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).

Geochemical parameters in peat depth profiles from ombrotrophic bogs in North and Central Europe. Pichlmaier Moor, Austria

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).

GWB: Titan

Darstellung von Titan

1 2 3 4 5199 200 201