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Sound velocity profiles (AML-3 LGR entire dataset) of SV DVOCEAN, Rhine River, Germany

This dataset comprises the sound velocity profiles (.csv) which were collected along a high-resolution multibeam echosounder (MBES) bathymetry and backscatter survey campaign in a 7.5 km segment of the River Rhine (km 747.0–754.5, Düsseldorf, Germany) between July 24th and 31st, 2024. The survey, conducted with a Kongsberg EM2040P MKII multibeam echosounder operated at a frequency of 300 kHz, achieved a point density of ≥ 160 points/m² and met the IHO Special Order standards (horizontal uncertainty ≤ 15 cm, vertical uncertainty ≤ 3 cm). The dataset comprises the raw sound velocity profiles which were collected with an AML-3 LGR device from AML Oceanographic. The sound velocity profiles were taken every 4 hours. Since the probe can be equipped with three sensors simultaneously, the provided files to not only contain the measured sound velocity values at the respective depths, but also turbidity and pressure information for each record. The collected profiles were directly imported to the multibeam acquisition software. During the import process, the profile was reviewed, outliers were removed and the measured profile was applied to be recognized for the multibeam data acquisition. However, the provided files refer to the raw data which means that outliers etc. are still present and must be removed before applied to hydrographic surveys to ensure a refraction correction and thus accurate depth information.

Multibeam bathymetry processed data (Kongsberg EM2040P MKII entire dataset, Generic sensor format) of SV DVOCEAN, Rhine River, Germany

This dataset comprises high-resolution multibeam echosounder (MBES) data collected in a 7.5 km segment of the River Rhine (km 747.0–754.5, Düsseldorf, Germany) between July 24th and 31st, 2024. The survey, conducted with a Kongsberg EM2040P MKII multibeam echosounder operated at a frequency of 300 kHz, achieved a point density of ≥ 160 points/m² and met the IHO Special Order standards (horizontal uncertainty ≤ 15 cm, vertical uncertainty ≤ 3 cm). The dataset comprises filtered and cleaned data which was exported in QPS Qimera as .gsf files. Those files can be used for backscatter processing in i.e. QPS FMGT. Since the survey area is characterized by the occurrence of boulders, the data are suited for hazard mapping, geomorphological studies and AI/ML model training (e.g., semantic segmentation of the boulders).

Annotated boulder occurrence dataset using quartzite block detection derived from multibeam bathymetry processed data (Kongsberg EM2040P MKII) of SV DVOCEAN, Rhine River, Germany

This dataset comprises annotated boulders within were manually digitized within a high-resolution multibeam echosounder (MBES) dataset. The entire multibeam echosounder survey campaign covers a 7.5 km long segment of the River Rhine (km 747.0–754.5, Düsseldorf, Germany) and the data acquisition was conducted between July 24th and 31st, 2024. The survey, conducted with a Kongsberg EM2040P MKII multibeam echosounder operated at a frequency of 300 kHz, achieved a point density of ≥ 160 points/m² and met the IHO Special Order standards (horizontal uncertainty ≤ 15 cm, vertical uncertainty ≤ 3 cm). Since the survey area is characterized by the occurrence of boulders, a manual annotation of those boulders was carried out for each 500 m section of the survey area. An overall annotation consistency was supported by applying common interpretation criteria and by cross-referencing potential boulders within the bathymetry, hillshade and backscatter datasets during the digitization. Thus, characteristic indicators of quartzite blocks, including elevated bathymetric structures, high backscatter intensity and associated morphological features such as scour marks, were jointly assessed. Subsequently, the provided dataset comprises the 2053 manually digitized polygon annotations as .shp file as well as their diameter, position, shape area, highest point and height in a .csv file. The data are suited for AI/ML model training (e.g., semantic segmentation) as well as the validation of automated boulder detection methods.

Multibeam bathymetry processed data (Kongsberg EM2040P MKII entire dataset) of SV DVOCEAN, Rhine River, Germany

This dataset comprises high-resolution processed multibeam echosounder (MBES) bathymetry and backscatter data collected in a 7.5 km segment of the River Rhine (km 747.0–754.5, Düsseldorf, Germany) between July 24th and 31st, 2024. The survey, conducted with a Kongsberg EM2040P MKII multibeam echosounder operated at a frequency of 300 kHz, achieved a point density of ≥ 160 points/m² and met the IHO Special Order standards (horizontal uncertainty ≤ 15 cm, vertical uncertainty ≤ 3 cm). The dataset comprises the pre-processed and filtered bathymetric data (0.25 m grid as .xyz and .tif) with their uncertainty metrics (.xyz, .tif) as well as the computed and cleaned backscatter mosaics (available as 0.20 m and 0.25 m pixel size mosaics in .xyz and .tif format). The filtered bathymetric data and the cleaned backscatter mosaics are available for each 500 m segment of the survey area as well as combined products for the entire 7.5 km survey area. Since the survey area is characterized by the occurrence of boulders, the data are suited for hazard mapping, geomorphological studies and AI/ML model training (e.g., semantic segmentation of the boulders).

Digital elevation model (DEM 1) of the River Rhine floodplain between Iffezheim and Kleve, Germany

This digital elevation model (DEM) describes the topography of the active floodplain of the freeflowing parts of River Rhine between the weir Iffezheim and the German-Dutch border near Kleve with 1 m spatial resolution in coordinate reference system "ETRS 1989 UTM Zone 32 N" and 0.01 m resolution in the German height reference system "Deutsches Haupthöhennetz 1992 (DHHN92)". The dataset was generated in four parts through aerial laser scanning (ALS) for terrestrial parts of the floodplain and echo sounding for aquatic parts of the central water course by the local waterway and navigation authorities (WSV) between 2003 and 2010. Parts not covered by any of the two data collection methods were filled through linear interpolation. A comparison between DEM and reference points confirmed a high accuracy with a mean deviation of elevations of ± 5 cm. Depending on the data source 95% of all checked points show a vertical deviation of less than 15 cm to 50 cm. Since the dataset has a large volume it was split into 40 tiles.

Flood durations of the year 2023 on the floodplains of River Rhine and River Elbe, Germany

Floodplains are morphologically highly heterogeneous environments with dynamically in- and decreasing water levels and flows. Strong environmental filtering through floodplain inundation creates favorable conditions for highly specialized organisms leading to high biodiversity and conservation value of floodplains. With hyd1d and hydflood we provide two R packages for simplified hydrologic modelling in two large central European floodplains – along River Rhine and River Elbe in Germany. We applied the R function hydflood::flood3 on both active floodplains covering the year 2023. The datasets consists of 40 tiles along River Rhine and 49 tiles along River Elbe, resulting in a total of 89 individual raster datasets stored in GeoTiff file format. All raster have a spatial resolution of 1 m and are stored in the coordinate reference systems ETRS 1989 UTM Zone 32 N (EPSG: 25832) for River Rhine and ETRS 1989 UTM Zone 33 N (EPSG: 25833) for River Elbe.

Flood durations of the year 2022 on the floodplains of River Rhine and River Elbe, Germany

Floodplains are morphologically highly heterogeneous environments with dynamically in- and decreasing water levels and flows. Strong environmental filtering through floodplain inundation creates favorable conditions for highly specialized organisms leading to high biodiversity and conservation value of floodplains. With hyd1d and hydflood we provide two R packages for simplified hydrologic modelling in two large central European floodplains – along River Rhine and River Elbe in Germany. We applied the R function hydflood::flood3 on both active floodplains covering the year 2022. The datasets consists of 40 tiles along River Rhine and 49 tiles along River Elbe, resulting in a total of 89 individual raster datasets stored in GeoTiff file format. All raster have a spatial resolution of 1 m and are stored in the coordinate reference systems ETRS 1989 UTM Zone 32 N (EPSG: 25832) for River Rhine and ETRS 1989 UTM Zone 33 N (EPSG: 25833) for River Elbe.

Ausbreitung der Noezoen in den schweizerischen Gewaessern

Das Einfuehren und Einsetzen landesfremder Arten, Rassen und Varietaeten ist nach dem BGF verboten bzw. beduerfen einer Bewilligung. Trotzdem kommen in unseren Gewaessern fremde Arten vor. Meist sind sie durch menschliche Aktivitaeten direkt in unsere Gewaesser gelangt, zudem muss aufgrund von Nachrichten aus Deutschland angenommen werden, dass weitere Arten den Rhein hoch wandern werden. Dabei handelt es sich um bei uns verschwundene Arten (z.B. Lachs, Meerneunauge), aber auch um fremde Arten (z.B. Zaehrte, Zobel, Weissflossengruendling). Projektziele: Die Liste der in der Schweiz vorkommenden Neozoen soll aktualisiert und durch jene Namen ergaenzt werden, von denen eine moegliche Einwanderung erwartet wird (v.a. im Rhein). Folgende Fragen sollten geklaert werden: Wo kommen welche Neozoen vor? Werden die neuen Arten ueberhaupt erkannt (z.B. Weissflossengruendling), welches sind die Bestimmungsmerkmale (Fotos)? Kann etwas ueber die Ausbreitungsgeschwindigkeit/das Ausbreitungspotential gesagt werden? Sind Auswirkungen auf die anwesende Fischfauna bekannt oder muessen solche erwartet werden?

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