The dataset is a set of photos of marine litter at the seafloor and corresponding coordinates. The photos were taken in the southernmost North and Baltic seas, between 30.11.2022 and 12.12.2022 during the Walther Herwig III 462 research cruise (Date begin: 29.11.2022 - Date end: 14.12.2022, harbor begin: Bremerhaven - harbor end: Bremerhaven) . The video system used consists of a GoPro HERO 9 black in an aluminium case mounted in the front of the sledge and two lights with a total of 7200 lumen. Three laser pointers mounted in an equilateral triangle (laser center point distance 25.5 cm) provided the size reference for the video observation. The photos were taken as part of a study to visually quantify the amount of marine letter in the seafloor and compare this value with bottom trawl data.
This dataset contains laser diffraction grain-size distributions from five Late Glacial to present sediment cores recovered from the northern shore of Schweriner See (See = Lake, NE Germany). The cores (3.0–4.6 m long, 5 cm diameter) were collected using a percussion coring system from different geomorphological positions, including beach ridges, a lake terrace, and the base of a shore slope. One core (Döpe19/1) was obtained from the northeastern shore of Schweriner Außensee in the Döpe area, while four cores (HoVie05–HoVie08) were recovered from the Hohen Viecheln area in the north shore of Schweriner Außensee. Sediment cores were subsampled at 2 cm resolution, and grain-size measurements were performed using a Fritsch Laser Particle Sizer Analysette 22 MicroTec plus (0.08–2000 μm) following removal of organic matter and carbonates and ultrasonic dispersion.
The digital terrain model of waterways for the estuary of river Elbe (DGM-W 2016) in high resolution based on airborne laser scanning and echo sounder data is produced and published by the German Federal Waterways and Shipping Administration (Wasserstraßen- und Schifffahrtsverwaltung des Bundes, WSV). The data includes the Outer Elbe and the tidally influenced side branches of the Elbe estuary upstream to the town Geesthacht. The data is available in a raster resolution of 1 meter. Coordinate reference system: EPSG 25852, ETRS89 / UTM Zone 32N Elevation reference system: DHHN92, NHN Survey methods: Airborne laser scanning (ALS) 02. - 04.2016 Multibeam echo sounder, single beam echo sounder 2015-2017 It is strongly recommended to use the data source map for quality assessment.
The digital terrain model of waterways for the estuary of river Elbe (DGM-W 2022) in high resolution based on airborne laser scanning and echo sounder data is produced and published by the German Federal Waterways and Shipping Administration (Wasserstraßen- und Schifffahrtsverwaltung des Bundes, WSV). The data includes the Outer Elbe and the tidally influenced tributaries and branches of the Elbe estuary upstream to the town Geesthacht. The data is available in a raster resolution of 1 meter. Coordinate reference system: EPSG 25852, ETRS89 / UTM Zone 32N Elevation reference system: DHHN2016, NHN Survey methods: Airborne laser scanning (ALS) 02.04.2022 - 19.04.2022 Multibeam echo sounder, single beam echo sounder 09.02.2017 - 09.04.2023 It is strongly recommended to use the data source map for quality assessment.
During the BALTIC'15 campaign in August 2015 over the Southern Baltic Sea, measurements of chemical composition and vacuum-aerodynamic diameter of individual aerosol particles were conducted by the Aircraft-based laser ablation aerosol mass spectrometer (ALABAMA) operated by the Max Planck Institute for Chemistry (Particle Chemistry Department). Measurements were performed on board the Alfred Wegener Institute research aircraft Polar 5. Four research flights were conducted: - Scientific flight 1 (SF1) on August 26, 2015 - Scientific flight 2 (SF2) on August 28, 2015 - Scientific flight 3 (SF3) on August 28, 2015 - Scientific flight 5 (SF4) on August 30, 2015. The data set contains sampling time, location, identified particle types, and particle size (if available). For detailed information on data processing and particle type characterization, please refer to the publication by Zanatta et al. (2019) or contact the authors: Franziska Köllner (f.koellner@mpic.de) and Johannes Schneider (Johannes.schneider@mpic.de).
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
The dataset contain full 40Ar/39Ar geochronological data completed by multi collector noble gas mass spectrometry on plagioclase and glass separates from a tuff sample interbedded in Pleistocene marine claystone (Argille di Spadafora) of northeastern Sicily (Italy). Tuff unit VU7 was identified in the field using the published base map and stratigraphic nomenclature of Di Bella et al. (2016), which correlates to bathyal marine marl (Argille di Vito Superiore) in southern Calabria. The tuff contains stratified white lapilli with abundant fresh volcanic glass shards and was deposited by a submarine turbidity current from a single volcanic eruption. The Ar laserprobe facility was realized with the financial support of CNR. The CO2 laser system was acquired within the PNRR – Mission 4, “Education and Research” - Component 2, “From research to business” - Investment line 3.1, “Fund for the creation of an integrated system of research and innovation infrastructures” - Project IR0000025 MEET. EPOS JRU Italia is acknowledged for support in the Laboratory maintenance.
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).
| Organisation | Count |
|---|---|
| Bund | 2225 |
| Europa | 111 |
| Kommune | 12 |
| Land | 79 |
| Weitere | 37 |
| Wirtschaft | 6 |
| Wissenschaft | 874 |
| Zivilgesellschaft | 118 |
| Type | Count |
|---|---|
| Daten und Messstellen | 117 |
| Ereignis | 2 |
| Förderprogramm | 2191 |
| Gesetzestext | 1 |
| Hochwertiger Datensatz | 4 |
| Taxon | 4 |
| Text | 40 |
| Umweltprüfung | 1 |
| unbekannt | 77 |
| License | Count |
|---|---|
| Geschlossen | 63 |
| Offen | 2361 |
| Unbekannt | 12 |
| Language | Count |
|---|---|
| Deutsch | 2071 |
| Englisch | 524 |
| Resource type | Count |
|---|---|
| Archiv | 28 |
| Bild | 9 |
| Datei | 89 |
| Dokument | 21 |
| Keine | 1461 |
| Multimedia | 1 |
| Unbekannt | 2 |
| Webdienst | 8 |
| Webseite | 838 |
| Topic | Count |
|---|---|
| Boden | 1599 |
| Lebewesen und Lebensräume | 1546 |
| Luft | 1278 |
| Mensch und Umwelt | 2403 |
| Wasser | 996 |
| Weitere | 2436 |