The high-resolution digital surface model (DSM1, DOM1) of the watercourses Elbe and Lower Havel is based on the airborne laser scanning data, undertaken from 06 January 2022 to 18 March 2022 in the Elbe area and from 20 to 22 December 2021 in the Havel area. It was produced and published by Germany’s Federal Institute of Hydrology (BfG), on behalf of the River Basin Community Elbe (RBC Elbe, FGG Elbe). The work was supported by the German Federal Waterways and Shipping Administration (WSV) and the surveying offices and water management administrations of six German states - Saxony, Saxony-Anhalt, Brandenburg, Lower Saxony, Mecklenburg-Vorpommern and Schleswig-Holstein. The data cover both the area around the inland water stretches of the Elbe from the Czech-German border to the village of Zollenspieker (part of the city of Hamburg) and the Lower Havel waterway from the town of Rathenow to its confluence with the Elbe. Since the dataset has a large coverage of 4,043 km², it is split into 62 sections. They were either labelled *HW in case of flood relevant areas (in German: “hochwasser-relevante Gebiete”) or *AU in case of historical floodplains (in German: “Altauengebiete”). Financing was divided according to these categories: In the HW areas, the project was co-funded by BfG, the WSV and the federal states, while in the AU areas, BfG covered all project costs. For each section we provide hillshade (*HS) and height maps (*NHN). The data are available in a raster resolution of 1 meter in GeoTiff format; Coordinate reference frame: ETRS89.DREF91.R16; Coordinate projection: UTM Zone 33N; EPSG-Code: 25833; Height reference system: DHHN2016, national vertical reference frame in Germany (2022). For further information please contact us. Citation short: BfG et al. / i.A. FGG Elbe (2025)
Ziel des Antrages ist der Einsatz der laserinduzierten Plasmaspektroskopie (LIPS) zur quantitativen orts- und tiefenaufgelösten Mikroanalyse mit einem neu zu entwickelnden VUV-Echelle-Spektrographen. LIPS erlaubt eine schnelle elementaranalytische Kartierung von Oberflächen ohne aufwendige Probenvorbereitung mit einer lateralen Auflösung von 3 bis 10 my m. Durch die Analyse der Spektren von einzelnen Pulsen kann eine Ortsauflösung mit einer entsprechenden Tiefenauflösung kombiniert werden. Die Verwendung eines Echelle-Spektrographen gestattet eine umfassende qualitative und quantitative multivariante Analyse von einzelnen Pulsen mit hoher spektraler Auflösung (l/dl größer als 10000) über einen Spektralbereich von 150 nm. Für den zu konzipierenden Echelle-Spektrographen wird ein Arbeitsbereich von 150 bis 300 nm angestrebt, so dass erstmals eine Multielement-VUV-Emissionsspektroskopie mit Laserplasmen für Nichtmetalle (S, P, N, O, C, As) oder metallische Elemente (Hg, Zn) möglich wird. Erste Anwendungen werden sich besonders auf geochemische und werkstoffwissenschaftliche Fragestellungen konzentrieren.
The present dataset from Germany is encompassed in the European Biodiversa BioRodDis project (Managing BIOdiversity in forests and urban green spaces: Dilution and amplification effects on RODent microbiomes and rodent-borne DISeases. Project coordinator: Nathalie Charbonnel, Senior researcher (DR2, INRAE), nathalie.charbonnel@inrae.fr - https://www6.inrae.fr/biodiversa-bioroddis). The project comes with the purpose to explore on a large scale the relationship between biodiversity of rodents, rodent-borne diseases dynamics and differences over time in a changing climate and it includes data of small terrestrial mammals from temperate forests and urban parks from the following countries: Belgium, France, Germany, Ireland and Poland. The present dataset includes records of small mammals (Rodentia) occurrences trapped in urbanised and forested areas in northeast Germany in the district of Potsdam (Brandenburg). Samplings and data collection took place throughout three years and during a total of four seasons: winter 2020, spring 2021, autumn 2021 and spring 2022. The number of sampling sites varied between 2 and 4 per seasons, with two main sites (Germany EastA and Germany EastB) being permanent in each sampling season. These variations are mainly due to the impact of SARS-CoV-2 pandemic regulations (2020, 2021) on the organisation and the execution of fieldwork and to the exclusion subsequently of forested sites with very low density of animals (≤10 individuals: Germany EastC, Germany EastB). The two main sampling sites represent different levels of anthropisation. The site Germany EastA is around the Botanical Garden belonging to the University of Potsdam with a mixture of sealed and wooded areas and a constant human presence while the site Germany EastB is a forested sub-urbanised area outside of the city composed by mixed coniferous forests, meadows, crossed by a main road and with occasional human presence (hunters, foresters). All animals were live captured (as in Schirmer et al., 2019) using a combination of Ugglan and Longworth traps for a total of 100-150 traps, depending on site and year. Traps were placed in 4 to 6 lines with 25m distance, and each line was composed by a total of 25 traps placed with 10m distance from each other. Fieldwork actions generally started with 1-4 days of pre-baiting followed by 1-10 days of trapping, according to efficiency of trapping and subprojects included. The sites Germany EastC and Germany EastD were excluded from the last two seasons because of very low trapping success during the previous seasons. All the traps were controlled daily during early morning hours and were activated again in the evening, with animals spending not more than eight hours in the trap. Baiting mixture consisted of oat flakes and apples and all traps were equipped with insulating material, like hay or wood wool. Taxonomical identification was determined in the field at species level according to morphology and previously recorded species occurrences in the sampling area (Dolch, 1995). Molecular identification of Apodemus flavicollis and Microtus individuals that were subsequently dissected was performed by the CBGP (France) using CO1 sequencing for Microtus species following Pagès et al., 2010, and DNA fingerprinting (AP-PCR) for Apodemus species (Bugarski-Stanojević et al., 2013). Dissections and body measurements were performed following the protocols described in Herbreteau et al., 2011. At the end of all seasons, a total of 620 occurrences of rodents was recorded, belonging to two main families (Muridae, Cricetidae) and four different species (Apodemus flavicollis, Apodemus agrarius, Myodes glareolus and Microtus arvalis). Additionally, for a subset of individuals (n=264), body measurements like weight, body length, head width, tail length and hind foot length as well as sexual maturity data were recorded. Animals were captured in accordance with the applicable international and institutional guidelines for the use of animals in research. The trapping and collection of rodents was performed under the permission of “Landesamt für Arbeitsschutz, Verbraucherschutz und Gesundheit Brandenburg (LAVG)“ (no. 2347-A-16-1-2020 for procedure, LUGV_RW7-4744/41+5#243052/2015 and N1 0424 for trapping) and “Landesamt für Umwelt Brandenburg (LfU)” (no. LFU-N1-4744/97+17#194297/2020, for sites and species exemptions). This project was funded through the 2018-2019 BiodivERsA joint call for research proposals, under the BiodivERsA3 ERA-Net COFUND programme, and coordinated by the German Science Foundation DFG (Germany). Citations: 1) Bugarski-Stanojević, V., Blagojević, J., Adnađević, T., Jovanović, V., & Vujošević, M. (2013). Identification of the sibling species Apodemus sylvaticus and Apodemus flavicollis (Rodentia, Muridae)—Comparison of molecular methods. Zoologischer Anzeiger - A Journal of Comparative Zoology, 252(4), 579–587. https://doi.org/10.1016/j.jcz.2012.11.004 2) Dolch, D. (1995). Naturschutz und Landschaftspflege in Brandenburg. 97. 3) Herbreteau, V., Jittapalapong, S., Rerkamnuaychoke, W., Chaval, Y., Cosson, J.-F., & Morand, S. (2011). Protocols for field and laboratory rodent studies. 56. 4) Pagès, M., Chaval, Y., Herbreteau, V., Waengsothorn, S., Cosson, J.-F., Hugot, J.-P., Morand, S., & Michaux, J. (2010). Revisiting the taxonomy of the Rattini tribe: A phylogeny-based delimitation of species boundaries. BMC Evolutionary Biology, 10(1), 184. https://doi.org/10.1186/1471-2148-10-184 5) Schirmer, A., Herde, A., Eccard, J. A., & Dammhahn, M. (2019). Individuals in space: Personality-dependent space use, movement and microhabitat use facilitate individual spatial niche specialization. Oecologia, 189(3), 647–660. https://doi.org/10.1007/s00442-019-04365-5
Nagetiere werden im Biozidbereich vor allem mit Rodentiziden bekämpft. Aufgrund ihrer umweltgefährdenden Eigenschaften sind diese Stoffe eigentlich nicht genehmigungsfähig, wurden aber aufgrund fehlender geeigneter Alternativen als Biozidwirkstoffe nach EU 528/2012 genehmigt. Nicht-chemische Nagetierfallen wurden bisher bei der vergleichenden Bewertung der Alternativen zu Rodentiziden nicht berücksichtigt, da Wirksamkeitsnachweise für Fallen bisher gefehlt haben. Das Umweltbundesamt hat daher, zusammen mit einer internationalen Expertengruppe, einen Leitfaden (NoCheRo-Leitfaden) entwickelt, der Methoden und Kriterien für die Bewertung von Schlagfallen gegen Nagetiere zur Verfügung stellt. Der Leitfaden sieht vor, dass die umfängliche Wirksamkeit der Fallen in einem Feldversuch nachgewiesen werden soll. Derartige Feldversuche sollen in dem Vorhaben durchgeführt, erprobt und ggf. verbessert werden. Zielstellungen des Vorhabens sind: 1. Durchführung von umfangreichen und detaillierten Feldstudien für eine Reihe von Nagetierfallen anhand des Leitfadens, um Daten zur Wirksamkeit von Nagetierfallen für die nächste vergleichende Bewertung von Rodentiziden zur Verfügung zu stellen und somit Nagetierfallen als eine mögliche Alternative zu berücksichtigen. 2. Wissenschaftliche Testung der Praktikabilität und der Eignung der im NoCheRo Leitfaden beschriebenen Methoden für Feldversuche und ggf. Optimierung der Methoden oder Kriterien. Es steht derzeit zur Diskussion auf europäischer Ebene eine Zulassung oder aber ein freiwilliges Zertifizierungssystem für Nagetierfallen zu etablieren, für welches dann Fallen anhand des NoCheRo Leitfadens bewertet würden. Auch dafür ist die praktische Erprobung des Leitfadens eine wichtige Voraussetzung. 3. Neben den Feldstudien soll die Methodik der Anwendung von nicht-chemischen Verfahren in der Nagetierbekämpfung im Bereich der Schädlingsbekämpfung untersucht und geeignete Anwendungen in einem Best Code of Practice beschrieben werden.
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).
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).
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).
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).
Grain size composition of loess samples from LGM European loess sequences. Loess samples of about 200 g were prepared to extract the grain size fractions studied. Grain size separations were performed on at least 10 g of dry sample. First, the entire sample was sieved with demineralized water on 63 microns and 20 microns sieves. The rejects were collected, dried and weighed. The clay fraction was obtained by decanting the fraction below 20 microns. The rest of the sample was mixed and left to settle for 1 hour. This procedure is repeated until a transparent supernatant is obtained. The two fractions thus obtained are dried and weighed. The size of the different fractions was then checked by laser granulometry.
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.
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