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58 results for “Rhine”

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zenodo44/100

Dataset for 'Inland ship emissions and their contribution to NOx and ultrafine particle concentrations at the Rhine'

<p>Dataset&nbsp;for ACP manuscript &#39;Inland ship emissions and their contribution to NOx and ultrafine particle concentrations at the Rhine&#39;.&nbsp;Further explanations on the datasets can be found in the &#39;README.txt&#39; file. In case of any questions please contact: Philipp Eger (eger@bafg.de), Federal Institute of Hydrology.</p> <p>1_Timeseries_Worms</p> <p>Description: Time series of measured gaseous and particulate species for station &quot;BRI&quot; in Worms on 10 December 2021.&nbsp;</p> <p><br> 2_All_ship_peaks_Worms</p> <p>Description: All analyzed ship peaks fulfilling the quality check criteria.&nbsp;</p> <p><br> 3_Ship_contribution_Worms</p> <p>Description: Mean monthly contribution from shipping based on analyzed peaks.&nbsp;</p> <p><br> 4_Examples_Worms</p> <p>Description: Particle size distribution of five exemplary peaks (A-E).</p>

opencc-by-4.0May 2023View details →
zenodo44/100

Iron Age Funnelpendant Lower Rhine Valley

<p>Catalog of the Funnelpendant found in the Lower Rhine Valley.</p> <p>This dataset was transformed into <a href="https://arkeogis.org/en/">ArkeoGIS</a> format during a Summer School on Research Data Management in Pre- and Protohistoric Archaeology at Kiel University co-organised by <a href="https://www.sfb1266.uni-kiel.de/en">CRC1266</a> and <a href="https://www.cluster-roots.uni-kiel.de/en?set_language=en">Cluster of Excellence ROOTS</a>. Conducted from 10-14th of July 2023.</p> <p>- artefacts_Nakoinz2004_Trichteranhaenger_epsg25832.csv: original data, digitalised from analog source</p> <p>- artefacts_Nakoinz2004_Trichteranhaenger_epsg25832.yaml: metadata</p> <p>- ArkeoGIS_Nakoinz_funnelpendant_2004_v2.csv: transformed data to match ArkeoGIS structure (in English)</p>

opencc-by-4.0Jul 2023View details →
zenodo40/100

Water temperature and discharge at monitoring station along the Rhine

<p>We provide daily average water temperatures and discharge at following Rhine monitoring stations:<br> Basel; Worms; Koblenz; Cologne.<br> We provide the yearly heat input from Nuclear power plants between following stations:<br> upstream Basel; between Basel and Worms; between Worms and Koblenz; between Koblenz and Cologne.<br> We provide the calculated catchment wide air temperature, described in the paper https://doi.org/10.5194/hess-2019-518<br> The data is connected to the publication:<br> Anthropogenic Influence on the Rhine water temperatures<br> https://doi.org/10.5194/hess-24-5027-2020</p>

opencc-by-4.0Oct 2020View details →
zenodo40/100

ADCP and CTD data Rhine-Meuse Delta

<p>Dataset containing .mat scripts containing pre-processed ADCP and CTD data, retrieved in the Rhine-Meuse delta on 12 Aug 2014 and 14 Sep 2015. Described in detail in the upcoming publication Jongbloed and Hoitink 2015 (submitted to the Journal of Physical Oceanography).</p>

opengpl-3.0-or-laterNov 2024View details →
zenodo40/100

Evaluation of high-resolution WRF simulation in urban areas - Effect of different physics schemes on simulation performance in the Rhine-Main-Neckar area

<p>This dataset contains data sampled from a WRF sensitivity study saved in NetCDF format. The study was run over 4 months of the year 2020. The folders contain the following data:</p> <table> <tbody> <tr> <td><strong>File</strong></td> <td><strong>Datasets</strong></td> <td><strong>Description</strong></td> </tr> <tr> <td>wrf_met_sample_full.nc</td> <td>all</td> <td>WRF meteorology sampled at the 19 weather stations in the simulation domain</td> </tr> <tr> <td>wrf_met_sample_full_and_quant.nc</td> <td>all</td> <td>As above, but resampled onto the measured meteorology and with summary statistics</td> </tr> <tr> <td>wrf_met_sample_full_ucmheights.nc</td> <td>only 2020_12</td> <td>Same as wrf_met_sample_full.nc but only for the run using the vertical layer distribution of UCM</td> </tr> <tr> <td>wrf_met_sample_full_and_quant_ucmheights.nc</td> <td>only 2020_12</td> <td>Same as wrf_met_sample_full_and_quant.nc but only for the run using the vertical layer distribution of UCM</td> </tr> <tr> <td>wrf_pblh_sample_full.nc</td> <td>all</td> <td>WRF PBLH (and custom PBLH_RIB) sampled at the 2 radio sonde stations in the simulation domain</td> </tr> <tr> <td>wrf_pblh_sample_full_and_quant.nc</td> <td>all</td> <td>As above, but resampled onto the measured meteorology and with summary statistics</td> </tr> <tr> <td>era5_met_sample_full.nc</td> <td>all</td> <td>ERA5 meteorology sampled at the 19 weather stations in the simulation domain</td> </tr> <tr> <td>era5_met_sample_full_and_quant.nc</td> <td>all</td> <td>As above, but resampled onto the measured meteorology and with summary statistics</td> </tr> <tr> <td>era5_pblh_sample_full_and_quant.nc</td> <td>all</td> <td>WRF PBLH (and custom PBLH_RIB) sampled at the 2 radio sonde stations in the simulation domain, resampled onto the measured meteorology and with summary statistics</td> </tr> </tbody> </table> <p>Each of these files contains the samples and statistics as NetCDF Variables. These Variables have multiple dimensions, which describe the individual datapoints. For the WRF samples, these dimensions are:</p> <table> <tbody> <tr> <td><strong>Dimension</strong></td> <td><strong>Description</strong></td> </tr> <tr> <td>Time</td> <td>time since start of simulation</td> </tr> <tr> <td>station_id</td> <td>the ID of the station where the sample was taken (meteo - length 19, PBLH - length 2)</td> </tr> <tr> <td>pbl</td> <td>Planetary Boundary Layer scheme (Bou-Lac / MYJ / YSU)</td> </tr> <tr> <td>lsm</td> <td>Land Surface Model scheme (N / NMP)</td> </tr> <tr> <td>slm</td> <td>Surface Layer Model scheme (MM5 / MO)</td> </tr> <tr> <td>urb</td> <td>Urban Parametrization scheme (SLUCM / BEP)</td> </tr> </tbody> </table> <p>Not all combinations between different simulation schemes exist, so some values in the NetCDF Variables are NaNs.</p>

opencc-by-4.0Nov 2024View details →
zenodo40/100

mDRONES4rivers-project: UAV-imagery of the project area Nonnenwerth at the Rhine River, Germany

<p>Spatially and temporally high-resolution data was acquired with the aid of multispectral sensors mounted on UAV and a gyrocopter platform for the purpose of classification. The work was part of the research and development project &bdquo;Modern sensors and airborne remote sensing for the mapping of vegetation and hydromorphology along Federal waterways in Germany&ldquo; (mDRONES4rivers) in cooperation of the German Federal Institute of Hydrology (BfG), Geocoptix GmbH, Hochschule Koblenz und JB Hyperspectral Devices.&nbsp;<br> Within the project period (2019-2022) data was collected at different sites situated in Germany along the Rivers Rhine and Oder. All published data produced within the project can be found by searching for the keyword &lsquo;mDRONES4rivers&lsquo;.&nbsp;<br> In this dataset, the following UAS data and metadata of the project site &lsquo;Nonnenwerth&rsquo; (center coordinates [WGS84]: 50.637541&deg;N, 7.208834&deg;E; area: 8&nbsp;ha) at the Rhine River in Germany is available for download:<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Multispectral orthophotos (GeoTiff; 6 bands: B, G, R, Red-Edge, NIR, Flag; camera: Micasense; resolution: 25 cm; abbreviation: MS_RAW)<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; RGB-orthophotos (GeoTiff; 3 bands: R, G, B; camera: Phantom; resolution: 25 cm; abbreviation: PH_ORTHO)<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Digital Surface Models (GeoTiff; 1 band; camera: Phantom; resolution: ca. 5 cm; abbreviation: PH_DEM)<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; associated Technical Reports (PDF; technical metadata concerning data acquisition, and processing using Agisoft Metashape, 1x for multispectral orthophotos, 1x for RGB-orthophotos + digital surface model)<br> The above-mentioned files are provided for download as dataset stored in one directory per season depending on the date of data acquisition (e.g. mDRONES4rivers_NW_UAV_2019_01_Winter.zip = projectname_projectsite_platform_year_no.season_name.season). To provide an overview of all files and general background information plus data preview the following files are stored in the info.zip folder:&nbsp;<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Overview table and metadata of the above-mentioned data (xlsx)<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Summary (PDF, Detailed description of sensors and data acquisition procedure, 1x for multispectral orthophotos, 1x for RGB-orthophotos + digital surface models)<br> Note: the data was processed with focus on spectral information and not for geodetic purposes. Georeferencing accuracy has not been checked in detail.</p>

opencc-by-4.0Jan 2022View details →
zenodo40/100

mDRONES4rivers-project: UAV-imagery of the project area Emmericher Ward at the Rhine River, Germany

<p>Spatially and temporally high-resolution data was acquired with the aid of multispectral sensors mounted on UAV and a gyrocopter platform for the purpose of classification. The work was part of the research and development project &bdquo;Modern sensors and airborne remote sensing for the mapping of vegetation and hydromorphology along Federal waterways in Germany&ldquo; (mDRONES4rivers) in cooperation of the German Federal Institute of Hydrology (BfG), Geocoptix GmbH, Hochschule Koblenz und JB Hyperspectral Devices.&nbsp;<br> Within the project period (2019-2022) data was collected at different sites situated in Germany along the Rivers Rhine and Oder. All published data produced within the project can be found by searching for the keyword &lsquo;mDRONES4rivers&lsquo;.&nbsp;<br> In this dataset, the following UAS data and metadata of the project site &lsquo;Emmericher Ward&rsquo; (center coordinates [WGS84]: 50.385264&deg;N, 6.198692&deg;E; area: 53ha) at the Rhine River in Germany is available for download:<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Multispectral orthophotos (GeoTiff; 6 bands: B, G, R, Red-Edge, NIR, Flag; camera: Micasense; resolution: 25 cm; abbreviation: MS_RAW)<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; RGB-orthophotos (GeoTiff; 3 bands: R, G, B; camera: Phantom; resolution: 25 cm; abbreviation: PH_ORTHO)<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Digital Surface Models (GeoTiff; 1 band; camera: Phantom; resolution: ca. 5 cm; abbreviation: PH_DEM)<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; associated Technical Reports (PDF; technical metadata concerning data acquisition, and processing using Agisoft Metashape, 1x for multispectral orthophotos, 1x for RGB-orthophotos + digital surface model)<br> The above-mentioned files are provided for download as dataset stored in one directory per season depending on the date of data acquisition (e.g. mDRONES4rivers_EW_UAV_2019_01_Winter.zip = projectname_projectsite_platform_year_no.season_name.season). To provide an overview of all files and general background information plus data preview the following files are stored in the info.zip folder:&nbsp;<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Overview table and metadata of the above-mentioned data (xlsx)<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Summary (PDF, Detailed description of sensors and data acquisition procedure, 1x for multispectral orthophotos, 1x for RGB-orthophotos + digital surface models)</p> <p><br> Note: the data was processed with focus on spectral information and not for geodetic purposes. Georeferencing accuracy has not been checked in detail. &nbsp;</p>

opencc-by-4.0Jan 2022View details →
zenodo40/100

mDRONES4rivers-project: UAV-imagery of the project area Niederwerth at the Rhine River, Germany

<p>Spatially and temporally high-resolution data was acquired with the aid of multispectral sensors mounted on UAV and a gyrocopter platform for the purpose of classification. The work was part of the research and development project &bdquo;Modern sensors and airborne remote sensing for the mapping of vegetation and hydromorphology along Federal waterways in Germany&ldquo; (mDRONES4rivers) in cooperation of the German Federal Institute of Hydrology (BfG), Geocoptix GmbH, Hochschule Koblenz und JB Hyperspectral Devices.&nbsp;<br> Within the project period (2019-2022) data was collected at different sites situated in Germany along the Rivers Rhine and Oder. All published data produced within the project can be found by searching for the keyword &lsquo;mDRONES4rivers&lsquo;.&nbsp;<br> In this dataset, the following UAS data and metadata of the project site &lsquo;Niederwerth&rsquo; (center coordinates [WGS84]: 50.386326&deg;N, 7.613847&deg;E; area: 27&nbsp;ha) at the Rhine River in Germany is available for download:<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Multispectral orthophotos (GeoTiff; 6 bands: B, G, R, Red-Edge, NIR, Flag; camera: Micasense; resolution: 25 cm; abbreviation: MS_RAW)<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; RGB-orthophotos (GeoTiff; 3 bands: R, G, B; camera: Phantom; resolution: 25 cm; abbreviation: PH_ORTHO)<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Digital Surface Models (GeoTiff; 1 band; camera: Phantom; resolution: ca. 5 cm; abbreviation : PH_DEM)<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; associated Technical Reports (PDF; technical metadata concerning data acquisition, and processing using Agisoft Metashape, 1x for multispectral orthophotos, 1x for RGB-orthophotos + digital surface model)<br> The above-mentioned files are provided for download as dataset stored in one directory per season depending on the date of data acquisition (e.g. mDRONES4rivers_NW_2019_01_Winter.zip = projectname_projectsite_year_no.season_name.season). To provide an overview of all files and general background information plus data preview the following files are additionally provided:&nbsp;<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Overview table and metadata of the above-mentioned data (xlsx)<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Summary (PDF, Detailed description of sensors and data acquisition procedure, 1x for multispectral orthophotos, 1x for RGB-orthophotos + digital surface models)</p> <p><br> Note: the data was processed with focus on spectral information and not for geodetic purposes. Georeferencing accuracy has not been checked in detail.&nbsp;</p>

opencc-by-4.0Jan 2022View details →
zenodo40/100

mDRONES4rivers-project: UAV-imagery of the project area Kuehkopf Knoblochsaue at the Rhine River, Germany

<p>Spatially and temporally high-resolution data was acquired with the aid of multispectral sensors mounted on UAV and a gyrocopter platform for the purpose of classification. The work was part of the research and development project &bdquo;Modern sensors and airborne remote sensing for the mapping of vegetation and hydromorphology along Federal waterways in Germany&ldquo; (mDRONES4rivers) in cooperation of the German Federal Institute of Hydrology (BfG), Geocoptix GmbH, Hochschule Koblenz und JB Hyperspectral Devices.&nbsp;<br> Within the project period (2019-2022) data was collected at different sites situated in Germany along the Rivers Rhine and Oder. All published data produced within the project can be found by searching for the keyword &lsquo;mDRONES4rivers&lsquo;.&nbsp;<br> In this dataset, the following UAS data and metadata of the project site &lsquo;Kuehkopf Knoblochsaue&rsquo; (center coordinates [WGS84]: 49.830564&deg;N, 8.383341&deg;E; area: 48&nbsp;ha) at the Rhine River in Germany is available for download:<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Multispectral orthophotos (GeoTiff; 6 bands: B, G, R, Red-Edge, NIR, Flag; camera: Micasense; resolution: 25 cm; abbreviation: MS_RAW)<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; RGB-orthophotos (GeoTiff; 3 bands: R, G, B; camera: Phantom; resolution: 25 cm; abbreviation: PH_ORTHO)<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Digital Surface Models (GeoTiff; 1 band; camera: Phantom; resolution: ca. 5 cm; abbreviation : PH_DEM)<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; associated Technical Reports (PDF; technical metadata concerning data acquisition, and processing using Agisoft Metashape, 1x for multispectral orthophotos, 1x for RGB-orthophotos + digital surface model)<br> The above-mentioned files are provided for download as dataset stored in one directory per season depending on the date of data acquisition (e.g. mDRONES4rivers_NW_2019_01_Winter.zip = projectname_projectsite_year_no.season_name.season). To provide an overview of all files and general background information plus data preview the following files are stored in the info.zip folder:&nbsp;<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Overview table and metadata of the above-mentioned data (xlsx)<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Summary (PDF, Detailed description of sensors and data acquisition procedure, 1x for multispectral orthophotos, 1x for RGB-orthophotos + digital surface models)<br> Note: the data was processed with focus on spectral information and not for geodetic purposes. Georeferencing accuracy has not been checked in detail. &nbsp;</p>

opencc-by-4.0Jan 2022View details →
zenodo40/100

mDRONES4rivers-project: UAV-imagery of the project area Laubenheim at the Rhine River, Germany

<p>Spatially and temporally high-resolution data was acquired with the aid of multispectral sensors mounted on UAV and a gyrocopter platform for the purpose of classification. The work was part of the research and development project &bdquo;Modern sensors and airborne remote sensing for the mapping of vegetation and hydromorphology along Federal waterways in Germany&ldquo; (mDRONES4rivers) in cooperation of the German Federal Institute of Hydrology (BfG), Geocoptix GmbH, Hochschule Koblenz und JB Hyperspectral Devices.&nbsp;<br> Within the project period (2019-2022) data was collected at different sites situated in Germany along the Rivers Rhine and Oder. All published data produced within the project can be found by searching for the keyword &lsquo;mDRONES4rivers&lsquo;.&nbsp;<br> In this dataset, the following UAS data and metadata of the project site &lsquo;Laubenheim&rsquo; (center coordinates [WGS84]: 49.960007&deg;N, 8.331229&deg;E; area: 11&nbsp;ha) at the Rhine River in Germany is available for download:<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Multispectral orthophotos (GeoTiff; 6 bands: B, G, R, Red-Edge, NIR, Flag; camera: Micasense; resolution: 25 cm; abbreviation: MS_RAW)<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; RGB-orthophotos (GeoTiff; 3 bands: R, G, B; camera: Phantom; resolution: 25 cm; abbreviation: PH_ORTHO)<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Digital Surface Models (GeoTiff; 1 band; camera: Phantom; resolution: ca. 5 cm; abbreviation: PH_DEM)<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; associated Technical Reports (PDF; technical metadata concerning data acquisition, and processing using Agisoft Metashape, 1x for multispectral orthophotos, 1x for RGB-orthophotos + digital surface model)<br> The above-mentioned files are provided for download as dataset stored in one directory per season depending on the date of data acquisition (e.g. mDRONES4rivers_NW_UAV_2019_01_Winter.zip = projectname_projectsite_platform_year_no.season_name.season). To provide an overview of all files and general background information plus data preview the following files are stored in the info.zip folder:&nbsp;<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Overview table and metadata of the above-mentioned data (xlsx)<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Summary (PDF, Detailed description of sensors and data acquisition procedure, 1x for multispectral orthophotos, 1x for RGB-orthophotos + digital surface models)<br> Note: the data was processed with focus on spectral information and not for geodetic purposes. Georeferencing accuracy has not been checked in detail. &nbsp;</p>

opencc-by-4.0Jan 2022View details →
zenodo40/100

mDRONES4rivers-project: Gyrocopter-imagery of the project area Emmericher Ward at the Rhine River, Germany

<p>Spatially and temporally high-resolution data was acquired with the aid of multispectral sensors mounted on UAV and a gyrocopter platform for the purpose of classification. The work was part of the research and development project &bdquo;Modern sensors and airborne remote sensing for the mapping of vegetation and hydromorphology along Federal waterways in Germany&ldquo; (mDRONES4rivers) in cooperation of the German Federal Institute of Hydrology (BfG), Geocoptix GmbH, Hochschule Koblenz und JB Hyperspectral Devices.&nbsp;<br> Within the project period (2019-2022) data was collected at different sites situated in Germany along the Rivers Rhine and Oder. All published data produced within the project can be found by searching for the keyword &lsquo;mDRONES4rivers&lsquo;.&nbsp;<br> In this dataset, the following UAS data and metadata of the project site &lsquo;Emmericher Ward&rsquo; (center coordinates [WGS84]: 50.385264&deg;N, 6.198692&deg;E; area: 900 ha) at the Rhine River in Germany is available for download:<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Multispectral orthophotos (GeoTiff; 5&nbsp;bands: B, G, R, NIR, Flag; camera system: PanX 2.0 and PanX 3.0; resolution: ca. 30 cm/ca. 16 cm; abbreviation: PanX2_ORTHO/PanX3_ORTHO)<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Digital Surface Models (GeoTiff; 1 band; camera system: PanX 2.0 and PanX 3.0; resolution: ca. 30 cm; abbreviation: PanX_DEM)<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; associated Technical Reports (PDF; technical metadata concerning data acquisition, and processing using Agisoft Metashape, 1x for multispectral orthophotos + digital surface model)<br> The above-mentioned files are provided for download as dataset stored in one directory per season depending on the date of data acquisition (e.g. mDRONES4rivers_NW_GYRO_2019_01_Winter.zip = projectname_projectsite_platform_year_no.season_name.season). To provide an overview of all files and general background information plus data preview the following files are stored in the info.zip folder:&nbsp;<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Overview table and metadata of the above-mentioned data (xlsx)<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Summary (PDF, Detailed description of sensors and data acquisition procedure, 1x for multispectral orthophotos + digital surface models)</p> <p><br> Note: the data was processed with focus on spectral information and not for geodetic purposes. Georeferencing accuracy has not been checked in detail. &nbsp;</p>

opencc-by-4.0Jan 2022View details →
zenodo40/100

mDRONES4rivers-project: Gyrocopter-imagery of the project area Nonnenwerth at the Rhine River, Germany

<p>Spatially and temporally high-resolution data was acquired with the aid of multispectral sensors mounted on UAV and a gyrocopter platform for the purpose of classification. The work was part of the research and development project &bdquo;Modern sensors and airborne remote sensing for the mapping of vegetation and hydromorphology along Federal waterways in Germany&ldquo; (mDRONES4rivers) in cooperation of the German Federal Institute of Hydrology (BfG), Geocoptix GmbH, Hochschule Koblenz und JB Hyperspectral Devices.&nbsp;<br> Within the project period (2019-2022) data was collected at different sites situated in Germany along the Rivers Rhine and Oder. All published data produced within the project can be found by searching for the keyword &lsquo;mDRONES4rivers&lsquo;.&nbsp;<br> In this dataset, the following UAS data and metadata of the project site &lsquo;Nonnenwerth&rsquo; (center coordinates [WGS84]: 50.637541&deg;N, 7.208834&deg;E; area: 45 ha) at the Rhine River in Germany is available for download:<br> &bull;&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Multispectral orthophotos (GeoTiff; 5&nbsp;bands: B, G, R, NIR, Flag; camera system: PanX 2.0 and PanX 3.0; resolution: ca. 30 cm/ca. 16 cm; abbreviation: PanX2_ORTHO/PanX3_ORTHO)<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Digital Surface Models (GeoTiff; 1 band; camera system: PanX 2.0 and PanX 3.0; resolution: ca. 30 cm; abbreviation: PanX_DEM)<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; associated Technical Reports (PDF; technical metadata concerning data acquisition, and processing using Agisoft Metashape, 1x for multispectral orthophotos + digital surface model)<br> The above-mentioned files are provided for download as dataset stored in one directory per season depending on the date of data acquisition (e.g. mDRONES4rivers_NW_GYRO_2019_01_Winter.zip = projectname_projectsite_platform_year_no.season_name.season). To provide an overview of all files and general background information plus data preview the following files are stored in the info.zip folder:&nbsp;<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Overview table and metadata of the above-mentioned data (xlsx)<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Summary (PDF, Detailed description of sensors and data acquisition procedure, 1x for multispectral orthophotos + digital surface models)</p> <p><br> Note: the data was processed with focus on spectral information and not for geodetic purposes. Georeferencing accuracy has not been checked in detail.</p>

opencc-by-4.0Jan 2022View details →
zenodo40/100

mDRONES4rivers-project: Gyrocopter-imagery of the project area Niederwerth at the Rhine River, Germany

<p>Spatially and temporally high-resolution data was acquired with the aid of multispectral sensors mounted on UAV and a gyrocopter platform for the purpose of classification. The work was part of the research and development project &bdquo;Modern sensors and airborne remote sensing for the mapping of vegetation and hydromorphology along Federal waterways in Germany&ldquo; (mDRONES4rivers) in cooperation of the German Federal Institute of Hydrology (BfG), Geocoptix GmbH, Hochschule Koblenz und JB Hyperspectral Devices.&nbsp;<br> Within the project period (2019-2022) data was collected at different sites situated in Germany along the Rivers Rhine and Oder. All published data produced within the project can be found by searching for the keyword &lsquo;mDRONES4rivers&lsquo;.&nbsp;<br> In this dataset, the following UAS data and metadata of the project site &lsquo;Niederwerth&rsquo; (center coordinates [WGS84]: 50.386326&deg;N, 7.613847&deg;E; area: 25 ha) at the Rhine River in Germany is available for download:<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Multispectral orthophotos (GeoTiff; 5&nbsp;bands: B, G, R, NIR, Flag; camera system: PanX 2.0 and PanX 3.0; resolution: ca. 30 cm/ca. 16 cm; abbreviation: PanX2_ORTHO/PanX3_ORTHO)<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Digital Surface Models (GeoTiff; 1 band; camera system: PanX 2.0 and PanX 3.0; resolution: ca. 30 cm; abbreviation: PanX_DEM)<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; associated Technical Reports (PDF; technical metadata concerning data acquisition, and processing using Agisoft Metashape, 1x for multispectral orthophotos + digital surface model)<br> The above-mentioned files are provided for download as dataset stored in one directory per season depending on the date of data acquisition (e.g. mDRONES4rivers_NoW_GYRO_2019_01_Winter.zip = projectname_projectsite_platform_year_no.season_name.season). To provide an overview of all files and general background information plus data preview the following files are stored in the info.zip folder:&nbsp;<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Overview table and metadata of the above-mentioned data (xlsx)<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Summary (PDF, Detailed description of sensors and data acquisition procedure, 1x for multispectral orthophotos + digital surface models)</p> <p><br> Note: the data was processed with focus on spectral information and not for geodetic purposes. Georeferencing accuracy has not been checked in detail.</p>

opencc-by-4.0Jan 2022View details →
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mDRONES4rivers-project: Portfolios of classification results, UAV and gyrocopter data of project sites situated in riparian zones along federal waterways in Germany with focus on the Rhine River, Germany

<p>Spatially and temporally high-resolution data was acquired with the aid of multispectral sensors mounted on UAV and a gyrocopter platform for the purpose of classification. The work was part of the research and development project &bdquo;Modern sensors and airborne remote sensing for the mapping of vegetation and hydromorphology along Federal waterways in Germany&ldquo; (mDRONES4rivers) in cooperation of the German Federal Institute of Hydrology (BfG), Geocoptix GmbH, Hochschule Koblenz und JB Hyperspectral Devices.&nbsp;</p> <p>Within the project period (2019-2022) data was collected at different sites situated in Germany along the Rivers Rhine and Oder. All published data produced within the project can be found by searching for the keyword &lsquo;mDRONES4rivers&lsquo;.&nbsp;</p> <p>In this dataset, the following portfolios of classifications, UAS and gyrocopter data of project sites situated in riparian zones along federal waterways in Germany with focus on the Rhine River are available for download:</p> <p>&bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Multispectral orthophotos produced with the aid of UAS (PDF, Detailed description of sensors and data acquisition procedure; abbreviation: MS_ORTHO)</p> <p>&bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; RGB-orthophotos and digital surface models produced with the aid of UAS (PDF, Detailed description of sensors and data acquisition procedure; abbreviation: PH_SR_ORTHO_DSM)</p> <p>&bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Multispectral orthophotos and Digital Surface Models produced with the aid of a gyrocopter (PDF, Detailed description of sensors and data acquisition procedure; abbreviation: PANX_ORTHO_DSM)</p> <p>&bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Classification results based on UAV- and&nbsp;a gyrocopter data (PDF, Detailed description of processing procedure for different classification levels; abbreviation: CLASSIF_PROD)</p> <p>&bull;&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;German translated version of all above mentioned product portfolios (PDF,&nbsp;abbreviation: product_portfolio_collection_ger)</p>

opencc-by-4.0Jan 2022View details →
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mDRONES4rivers-project: Classification results based on UAV data of project sites situated in riparian zones along federal waterways in Germany with focus on the Rhine River, Germany

<p>Spatially and temporally high-resolution data was acquired with the aid of multispectral sensors mounted on UAV and a gyrocopter platform for the purpose of classification. The work was part of the research and development project &bdquo;Modern sensors and airborne remote sensing for the mapping of vegetation and hydromorphology along Federal waterways in Germany&ldquo; (mDRONES4rivers) in cooperation of the German Federal Institute of Hydrology (BfG), Geocoptix GmbH, Hochschule Koblenz und JB Hyperspectral Devices.&nbsp;<br> Within the project period (2019-2022) an object oriented image classification was conducted based on UAV and gyrocopter&nbsp;data for different sites situated in Germany along the Rivers Rhine and Oder. All published data produced within the project can be found by searching for the keyword &lsquo;mDRONES4rivers&lsquo;.&nbsp;<br> In this dataset, the following classification results&nbsp;and metadata of the project sites situated in riparian zones along federal waterways in Germany with focus on the Rhine River, Germany is available for download:<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Basic &amp; Vegetation Classification (ESRI Shapefile; abbreviation: lvl2_vegetation_units)<br> &bull;&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Classification of dominant stands&nbsp;(ESRI Shapefile; abbreviation: lvl4_dominant_stands )<br> &bull;&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Classification of substrat types (ESRI Shapefile; abbreviation: lvl4_substrate_types)<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; associated reports (PDF; statistical and additional information on the classifiaction results and workflow)<br> The above-mentioned files are provided for download as dataset stored in one directory per projekt site and season&nbsp;(e.g. mDRONES4rivers_Niederwerth_2019_03_Summer_Classification.zip = projectname_projectsite_year_no.season_name.season_product). To provide an overview of all files and general background information plus data preview the following files are additionally provided:&nbsp;<br> &bull; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Portfolios (PDF, Detailed description of classification products and classification workflow, 1x for basic surface types, 1x for classification of vegetation units, 1x for classification of dominant stands,&nbsp;&nbsp;1x for classification of substrate types)<br> &bull;&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Color Coding table for the visualization of the classifiaction units (.xlsx)</p>

opencc-by-4.0Jan 2022View details →
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Container flows on road, rail and waterways along Rhine-Alpine corridor (Rhine section) at NUTS-2 level with cost-time-emissions estimates and accessibility-frequency-availability of modes

<p>The present dataset is used to estimate the heterogeneous mode choice preferences of shippers, that are presented in the following article :<br> &quot;A Logit Mixture Model Estimating the Heterogeneous Mode Choice Preferences of Shippers Based on Aggregate Data&quot;<br> (Nicolet, A., Negenborn, R. R. &amp; Atasoy, B., A Logit Mixture Model Estimating the Heterogeneous Mode Choice Preferences of Shippers Based on Aggregate Data. IEEE Open Journal of Intelligent Transportation Systems, Vol. 3, 2022, pp. 650-661.)</p>

opencc-by-4.0Dec 2021View details →
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FIGURE 6 in Upper Pleistocene blow flies (Diptera: Calliphoridae) trapped in fossilized crania of large mammals discovered from gravel pits in the Rhine rift valley from Hesse (Germany)

FIGURE 6 SEM-images (6.1, 6.3) and microscopic-image (6.2) of adult blow fly remains. 6.1 Leg of the extant blow fly Calliphora vicina and corresponding parts of the leg of fossil Protophormia terraenovae [6.1.1 upper part of the tibia, 6.1.2 probasitarsus (t1)], 6.2 Part of the mesothoracic spiracle of extant Calliphora vicina, 6.3 Fossil part of the mesothoracic spiracle of Protophormia terraenovae.

opencc-by-4.0May 2016View details →
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FIGURE 5. 3D in Upper Pleistocene blow flies (Diptera: Calliphoridae) trapped in fossilized crania of large mammals discovered from gravel pits in the Rhine rift valley from Hesse (Germany)

FIGURE 5. 3D-models of parts of the cephaloskeleton reconstructed from fossil puparia. 5.1 entire cephaloskeleton (dorsal view), 5.2 entire cephaloskeleton (lateral view), 5.3 intermediate sclerite (dorsal view), 5.4 left mouth hook (lateral view). Available as animation online palaeo-electronica.org/content/2016/1461-forensic-palaeoentomology.

opencc-by-4.0May 2016View details →
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FIGURE 4 in Upper Pleistocene blow flies (Diptera: Calliphoridae) trapped in fossilized crania of large mammals discovered from gravel pits in the Rhine rift valley from Hesse (Germany)

FIGURE 4. SEM-images of fossil remains (4.1, 4.3, 4.5, 4.7) in comparison of similar parts of the puparia of extant Protophormia terraenovae (4.2, 4.4, 4.6, 4.8). 4.1-2 Segment 1-4 of puparia, 4.3-4 mouth hooks of larvae, 4.5-6 spines of thoracic segment 3 show triangular structure with mainly one or two tips and a broad base, 4.7-8 anal division with six pairs of large papillae (I-VI) and two posterior stigmata of circular structure containing three spiracles.

opencc-by-4.0May 2016View details →
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FIGURE 2 in Upper Pleistocene blow flies (Diptera: Calliphoridae) trapped in fossilized crania of large mammals discovered from gravel pits in the Rhine rift valley from Hesse (Germany)

FIGURE 2. Hardened skins of upper Pleistocene puparia of Protophormia terraenovae. 2.1 A fossil puparium in dorsal view. 2.2 Mass of fossil puparia discovered from the cranial fragment of Mammuthus primigenius (Geinsheim). a anterior; l lateral. Photo by Georg Oleschinski.

opencc-by-4.0May 2016View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record