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42 results for “mass transport”
Supplementary data for the journal article "Quantifying the impact of 3D pore space morphology on diffusive mass transport in loam and sand"
<p>Binarized cutouts (black=pore, white=soil) of 3D CT images of soil samples from loam and sand together with geometrical descriptors and diffusive properties computed on these cutouts. The geometrical descriptors include, among others, porosity, specific surface area, geodesic tortuosity, geometric tortuosity, constrictivity, mean chord length and mean of spherical contact distribution. Diffusion is quantified by the so-called M-factor which equals the ratio of the effective and intrinsic diffusivity.</p> <p>This data supplements the journal article "Quantifying the impact of 3D pore space morphology on diffusive mass transport in loam and sand". Additional information can be found there.</p>
Data used in "Climatology and variability of air mass transport from the boundary layer to the Asian monsoon anticyclone"
<p>The data presented here are needed to reproduce the analyses of the publication: Nützel, M., Brinkop, S., Dameris, M., Garny, H., Jöckel, P., Pan, L. L., and Park, M.: Climatology and variability of air mass transport from the boundary layer to the Asian monsoon anticyclone, Atmos. Chem. Phys., 22, 15659–15683, https://doi.org/10.5194/acp-22-15659-2022, 2022. A short explanation of the archived data is presented in the accompanying README.</p> <p>Note: In the previous data set version (<a href="https://doi.org/10.5281/zenodo.7275804">10.5281/zenodo.7275804</a>) one file was missing and is added here.</p> <p> </p> <p> </p>
Dataset for "Light and Mass Transport Computations Guide the Fabrication of 3D-Structured TiO2 and Au/TiO2 Aerogel Photocatalysts for Efficient Hydrogen Production in the Gas Phase"
<p>This dataset is related to "Light and Mass Transport Computations Guide the Fabrication of 3D-Structured TiO<sub>2</sub> and Au/TiO<sub>2</sub> Aerogel Photocatalysts for Efficient Hydrogen Production in the Gas Phase" published in <em> Chemistry of Materials</em> <strong>2023</strong> <em>35</em> (10), 3849-3858.</p> <p>Each file contains the dataset for the respective Figure.</p> <p><strong>File 'Figure 1': </strong>Optical Photograph and SEM images of a 3D printed TiO<sub>2</sub> aerogel.</p> <p><strong>File 'Figure 2': </strong>The subdirectory <em>'absorbed'</em> contains data for the calculation of the light absorption of unstructured, sc-structured, and fcc-structured aerogels. A more detailed description is presented in the <em>'readme</em>' file. The subdirectory <em>'flux_time_resolved'</em> contains data for the calculation of the time-resolved flux in a fcc-structured aerogel. A more detailed description is presented in the readme file.</p> <p><strong>File 'Figure 3': </strong>Measured and calculated data of the pressure drop of unstructured, sc-structured, and fcc-structured aerogels. Images of the velocity profile. Images of simulated velocity profiles of an sc-structured aerogel without and with a surrounding wall. The simulations were performed in COMSOL.</p> <p><strong>File 'Figure 4': </strong>Data of the hydrogen evolution experiments.</p> <p><strong>File 'Figure SI1 and Table SI1': </strong>Data of nitrogen physisorption experiments. <em>'Figure_SI1-sample-identification'</em> contains a list to assign the dataset to the respective subfigures in Figure SI1. <em>'Table_SI1-sample-identification' </em>contains a list to assign the dataset to the respective entry in Table SI1.</p> <p><strong>File 'Figure SI2': </strong>Data of the hydrogen evolution experiments with a gas stream containing pure water and a water/methanol mixture, respectively.</p> <p><strong>File 'Figure SI3': </strong>Data of the UV cleaning experiment.</p> <p><strong>File 'Figure SI4': </strong>Chromatograms recorded during hydrogen evolution experiments to discuss the formation of side products.</p> <p><strong>File 'Figure SI5':</strong> Data of two consecutive hydrogen evolution experiments.</p> <p><strong>File 'Figure SI6': </strong>Data of the hydrogen evolution experiments for an fcc-structured and sc-structured TiO<sub>2</sub> aerogel of similar light absorption. Image of a simulated velocity profiles for an unstructured aerogel. The simulation were performed in COMSOL.</p> <p><strong>File 'Figure SI7': </strong>Data of an hydrogen evolution experiments of an fcc-structured TiO<sub>2</sub> aerogel for flow rates in a range of 1.25 to 20 mL min<sup>-1</sup>.</p> <p><strong>File 'Figure SI8': </strong>TEM/STEM images including EDX mapping of an Au/TiO<sub>2</sub> aerogel fragment.</p> <p><strong>File 'Figure SI9': </strong>Data of the hydrogen evolution, the irradiance of the LED, and the amount of water and methanol.</p> <p><strong>File 'Figure SI10': </strong>Attenuated total reflection infrared spectra of TiO<sub>2</sub> nanoparticle powder and aerogel after UV cleaning.</p> <p><strong>File 'Figure SI11': </strong>XRD pattern of TiO<sub>2</sub> nanoparticles and a reference of anatase TiO<sub>2</sub>.</p> <p><strong>File 'Figure SI12': </strong>Data of hydrogen evoltion for TiO<sub>2</sub> nanoparticle powders.</p> <p><strong>File 'Figure SI13': </strong>Transmission and reflectance spectra of a TiO<sub>2</sub> aerogel.</p> <p><strong>File 'Figure SI14': </strong>Calculated transmission and reflectance for an optical thickness and a scattering albedo in a range of 0 to 5 and 0 to 1, respectively. The data was calculated by solving the radiative transfer equation, as implemented in the DISORT algorithm. A more detailed description of the calculation and data processing is provided in the <em>'readme'</em> file. The code of the DISORT algorithm is provided in the <em>'DISORT'</em> subdirectory.</p> <p><strong>File 'Figure SI16': </strong>Data of the derived absorption and scattering coefficient.</p> <p><strong>File 'Figure SI17': </strong>Data of the light absorption and the scattering coefficient. The <em>'readme'</em> file contains a description of the data processing for the light absorption dataset.</p>
Dataset for the paper "Toward Understanding the Utilization of Oxygen Reduction Electrocatalysts under High Mass Transport Conditions and High Overpotentials"
<table> <tbody> <tr> <td>The data in this spreadsheet was used to produce the figures in the paper</td> </tr> <tr> <td>Authors:</td> <td>Colleen Jackson, Xiaoqian Lin, Pieter B. J. Levecque, and Anthony R. J. Kucernak</td> </tr> <tr> <td>Title:</td> <td>Toward Understanding the Utilization of Oxygen Reduction 2 Electrocatalysts under High Mass Transport Conditions and High 3 Overpotentials</td> </tr> <tr> <td>Journal:</td> <td>ACS Catalysis</td> </tr> <tr> <td>DOI:</td> <td><a href="https://doi.org/10.1021/acscatal.1c03908">https://doi.org/10.1021/acscatal.1c03908</a></td> </tr> <tr> <td>Please cite the above reference if you wish to use this data</td> </tr> <tr> <td> </td> <td> </td> </tr> <tr> <td>DOI of data:</td> <td>10.5281/zenodo.5774052</td> </tr> </tbody> </table>
Rethinking the Roles of Transport and Photochemistry in Regional Ozone Pollution: Insights from Ozone Mass and Concentration Budgets
<p>1) Code (Fortran) to quantify ozone mass and concentration budgets in the atmospheric boundary layer of the user-defined region.</p> <p>2) Initial data of ozone mass and concentration budgets in the atmospheric boundary layer of the Pearl River Delta in Oct. 2015 and July 2016.</p>
Direct measurement of oxygen mass transport at the nanoscale
<p>Dataset for article "Direct measurement of oxygen mass transport at the nanoscale". It contains:</p> <p>- secondary ion mass spectrometry (SIMS) data for 18O concentration in thin films of lanthanum chromite (epitaxial and nanocrystalline);</p> <p>- atom probe tomography (APT) data for 18O fraction in thin films of nanocrystalline lanthanum chromite</p> <p>- top view transmission electron microscopy (TEM) data for nanocrystalline films of lanthanum chromite</p> <p> </p>
Calibrating angular momentum transport in intermediate-mass stars from gravity-mode asteroseismology
<p>Best-matching MESA stellar evolution models and GYRE stellar pulsation models of the seven stars presented in Mombarg (2023).</p> <p>'MESA_inlist_template_for_GYRE' is the inlist for MESA to compute the models used for the asteroseismic modelling, 'GYRE_inlist_template.in' is the inlist for GYRE to compute the eigenmodes. </p> <p>'MESA_inlist_template_AM_transport' is the inlist for MESA to compute rotating models with angular momentum transport that were used to predict the near-core and surface rotation frequencies.</p>
Images of Construction and Demolition Waste Consting of Brick Transported on a Conveyor Belt - Recording with a Mass Flow of 10 g per s
<p>This data set comprises images of bulk material of brick on a conveyor belt. The images were recorded on the small-scale optical belt sorter Tablesort. A thorough description of the system can be found in</p> <ul> <li><em>Georg Maier, Florian Pfaff, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden,Thomas Längle, Uwe D. Hanebeck, Jürgen Beyerer</em>, <strong>Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking</strong>,Transactions on Industrial Electronics, February 2020.</li> <li>See also the <a href="https://www.iosb.fraunhofer.de/en/projects-and-products/insideschuettgut">project website</a>.</li> </ul> <p>This dataset is part of a batch of recordings of construction and demolition waste consisting of brick and sand-lime brick on optical sorters. Please use the search function with the keywords "Images of Construction and Demolition Waste" (in quotes) to find them. The data set was recorded with a Bonito CL-400C. Please see the debayer script on GitHub <a href="https://github.com/geomai/debayer_bonito">https://github.com/geomai/debayer_bonito</a>. The frame rate is approximately 192 Hz.</p> <p><br> To this date, publications that used this data include</p> <ul> <li><em>Marcel Reith-Braun, Albert Bauer, Maximilian Staab, Florian Pfaff, Georg Maier, Robin Gruna, Thomas Längle, Jürgen Beyerer, Harald Kruggel-Emden and Uwe D. Hanebeck</em>, <strong>GridSort: Image-based Optical Bulk Material Sorting Using Convolutional LSTMs</strong>, 22nd IFAC World Congress, Yokohama, Japan, July 2023.</li> </ul> <p><strong>Acknowledgment</strong><br> The IGF project 20354 N of the research association Forschungs-Gesellschaft Verfahrens-Technik e.V. (GVT) was supported via the AiF in a program to promote the Industrial Community Research and Development (IGF) by the Federal Ministry for Economic Affairs and Climate Action on the basis of a resolution of the German Bundestag.</p>
Images of Construction and Demolition Waste Consting of Brick Transported on a Conveyor Belt - Recording with a Mass Flow of 20 g per s
<p>This data set comprises images of bulk material of brick on a conveyor belt. The images were recorded on the small-scale optical belt sorter Tablesort. A thorough description of the system can be found in</p> <ul> <li><em>Georg Maier, Florian Pfaff, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden,Thomas Längle, Uwe D. Hanebeck, Jürgen Beyerer</em>, <strong>Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking</strong>,Transactions on Industrial Electronics, February 2020.</li> <li>See also the <a href="https://www.iosb.fraunhofer.de/en/projects-and-products/insideschuettgut">project website</a>.</li> </ul> <p>This dataset is part of a batch of recordings of construction and demolition waste consisting of brick and sand-lime brick on optical sorters. Please use the search function with the keywords "Images of Construction and Demolition Waste" (in quotes) to find them. The data set was recorded with a Bonito CL-400C. Please see the debayer script on GitHub <a href="https://github.com/geomai/debayer_bonito">https://github.com/geomai/debayer_bonito</a>. The frame rate is approximately 192 Hz.</p> <p><br> To this date, publications that used this data include</p> <ul> <li><em>Marcel Reith-Braun, Albert Bauer, Maximilian Staab, Florian Pfaff, Georg Maier, Robin Gruna, Thomas Längle, Jürgen Beyerer, Harald Kruggel-Emden and Uwe D. Hanebeck</em>, <strong>GridSort: Image-based Optical Bulk Material Sorting Using Convolutional LSTMs</strong>, 22nd IFAC World Congress, Yokohama, Japan, July 2023.</li> </ul> <p><strong>Acknowledgment</strong><br> The IGF project 20354 N of the research association Forschungs-Gesellschaft Verfahrens-Technik e.V. (GVT) was supported via the AiF in a program to promote the Industrial Community Research and Development (IGF) by the Federal Ministry for Economic Affairs and Climate Action on the basis of a resolution of the German Bundestag.</p>
Images of Construction and Demolition Waste Consting of Brick and Sand-lime Brick Transported on a Conveyor Belt - Recording with a Mass Flow of 20 g per s and a Mixing Ratio of 95 vs. 5 %
<p>This data set comprises images of bulk material of brick and sand-lime brick on a conveyor belt. The images were recorded on the small-scale optical belt sorter Tablesort. A thorough description of the system can be found in</p> <ul> <li><em>Georg Maier, Florian Pfaff, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden,Thomas Längle, Uwe D. Hanebeck, Jürgen Beyerer</em>, <strong>Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking</strong>,Transactions on Industrial Electronics, February 2020.</li> <li>See also the <a href="https://www.iosb.fraunhofer.de/en/projects-and-products/insideschuettgut">project website</a>.</li> </ul> <p>This dataset is part of a batch of recordings of construction and demolition waste consisting of brick and sand-lime brick on optical sorters. Please use the search function with the keywords "Images of Construction and Demolition Waste" (in quotes) to find them. The data set was recorded with a Bonito CL-400C. Please see the debayer script on GitHub <a href="https://github.com/geomai/debayer_bonito">https://github.com/geomai/debayer_bonito</a>. The frame rate is approximately 192 Hz.</p> <p><br> To this date, publications that used this data include</p> <ul> <li><em>Marcel Reith-Braun, Albert Bauer, Maximilian Staab, Florian Pfaff, Georg Maier, Robin Gruna, Thomas Längle, Jürgen Beyerer, Harald Kruggel-Emden and Uwe D. Hanebeck</em>, <strong>GridSort: Image-based Optical Bulk Material Sorting Using Convolutional LSTMs</strong>, 22nd IFAC World Congress, Yokohama, Japan, July 2023.</li> </ul> <p><strong>Acknowledgment</strong><br> The IGF project 20354 N of the research association Forschungs-Gesellschaft Verfahrens-Technik e.V. (GVT) was supported via the AiF in a program to promote the Industrial Community Research and Development (IGF) by the Federal Ministry for Economic Affairs and Climate Action on the basis of a resolution of the German Bundestag.</p> <p> </p>
Images of Construction and Demolition Waste Consting of Sand-lime Brick Transported on a Conveyor Belt - Recording with a Mass Flow of 15 g per s
<p>This data set comprises images of bulk material of sand-lime brick on a conveyor belt. The images were recorded on the small-scale optical belt sorter Tablesort. A thorough description of the system can be found in</p> <ul> <li><em>Georg Maier, Florian Pfaff, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden,Thomas Längle, Uwe D. Hanebeck, Jürgen Beyerer</em>, <strong>Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking</strong>,Transactions on Industrial Electronics, February 2020.</li> <li>See also the <a href="https://www.iosb.fraunhofer.de/en/projects-and-products/insideschuettgut">project website</a>.</li> </ul> <p>This dataset is part of a batch of recordings of construction and demolition waste consisting of brick and sand-lime brick on optical sorters. Please use the search function with the keywords "Images of Construction and Demolition Waste" (in quotes) to find them. The data set was recorded with a Bonito CL-400C. Please see the debayer script on GitHub <a href="https://github.com/geomai/debayer_bonito">https://github.com/geomai/debayer_bonito</a>. The frame rate is approximately 192 Hz.</p> <p><br> To this date, publications that used this data include</p> <ul> <li><em>Marcel Reith-Braun, Albert Bauer, Maximilian Staab, Florian Pfaff, Georg Maier, Robin Gruna, Thomas Längle, Jürgen Beyerer, Harald Kruggel-Emden and Uwe D. Hanebeck</em>, <strong>GridSort: Image-based Optical Bulk Material Sorting Using Convolutional LSTMs</strong>, 22nd IFAC World Congress, Yokohama, Japan, July 2023.</li> </ul> <p><strong>Acknowledgment</strong><br> The IGF project 20354 N of the research association Forschungs-Gesellschaft Verfahrens-Technik e.V. (GVT) was supported via the AiF in a program to promote the Industrial Community Research and Development (IGF) by the Federal Ministry for Economic Affairs and Climate Action on the basis of a resolution of the German Bundestag.</p>
Images of Construction and Demolition Waste Consting of Brick and Sand-lime Brick Transported on a Conveyor Belt - Recording with a Mass Flow of 15 g per s and a Mixing Ratio of 10 vs. 90 %
<p>This data set comprises images of bulk material of brick and sand-lime brick on a conveyor belt. The images were recorded on the small-scale optical belt sorter Tablesort. A thorough description of the system can be found in</p> <ul> <li><em>Georg Maier, Florian Pfaff, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden,Thomas Längle, Uwe D. Hanebeck, Jürgen Beyerer</em>, <strong>Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking</strong>,Transactions on Industrial Electronics, February 2020.</li> <li>See also the <a href="https://www.iosb.fraunhofer.de/en/projects-and-products/insideschuettgut">project website</a>.</li> </ul> <p>This dataset is part of a batch of recordings of construction and demolition waste consisting of brick and sand-lime brick on optical sorters. Please use the search function with the keywords "Images of Construction and Demolition Waste" (in quotes) to find them. The data set was recorded with a Bonito CL-400C. Please see the debayer script on GitHub <a href="https://github.com/geomai/debayer_bonito">https://github.com/geomai/debayer_bonito</a>. The frame rate is approximately 192 Hz.</p> <p><br> To this date, publications that used this data include</p> <ul> <li><em>Marcel Reith-Braun, Albert Bauer, Maximilian Staab, Florian Pfaff, Georg Maier, Robin Gruna, Thomas Längle, Jürgen Beyerer, Harald Kruggel-Emden and Uwe D. Hanebeck</em>, <strong>GridSort: Image-based Optical Bulk Material Sorting Using Convolutional LSTMs</strong>, 22nd IFAC World Congress, Yokohama, Japan, July 2023.</li> </ul> <p><strong>Acknowledgment</strong><br> The IGF project 20354 N of the research association Forschungs-Gesellschaft Verfahrens-Technik e.V. (GVT) was supported via the AiF in a program to promote the Industrial Community Research and Development (IGF) by the Federal Ministry for Economic Affairs and Climate Action on the basis of a resolution of the German Bundestag.</p>
Images of Construction and Demolition Waste Consting of Sand-lime Brick Transported on a Conveyor Belt - Recording with a Mass Flow of 20 g per s
<p>This data set comprises images of bulk material of sand-lime brick on a conveyor belt. The images were recorded on the small-scale optical belt sorter Tablesort. A thorough description of the system can be found in</p> <ul> <li><em>Georg Maier, Florian Pfaff, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden,Thomas Längle, Uwe D. Hanebeck, Jürgen Beyerer</em>, <strong>Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking</strong>,Transactions on Industrial Electronics, February 2020.</li> <li>See also the <a href="https://www.iosb.fraunhofer.de/en/projects-and-products/insideschuettgut">project website</a>.</li> </ul> <p>This dataset is part of a batch of recordings of construction and demolition waste consisting of brick and sand-lime brick on optical sorters. Please use the search function with the keywords "Images of Construction and Demolition Waste" (in quotes) to find them. The data set was recorded with a Bonito CL-400C. Please see the debayer script on GitHub <a href="https://github.com/geomai/debayer_bonito">https://github.com/geomai/debayer_bonito</a>. The frame rate is approximately 192 Hz.</p> <p><br> To this date, publications that used this data include</p> <ul> <li><em>Marcel Reith-Braun, Albert Bauer, Maximilian Staab, Florian Pfaff, Georg Maier, Robin Gruna, Thomas Längle, Jürgen Beyerer, Harald Kruggel-Emden and Uwe D. Hanebeck</em>, <strong>GridSort: Image-based Optical Bulk Material Sorting Using Convolutional LSTMs</strong>, 22nd IFAC World Congress, Yokohama, Japan, July 2023.</li> </ul> <p><strong>Acknowledgment</strong><br> The IGF project 20354 N of the research association Forschungs-Gesellschaft Verfahrens-Technik e.V. (GVT) was supported via the AiF in a program to promote the Industrial Community Research and Development (IGF) by the Federal Ministry for Economic Affairs and Climate Action on the basis of a resolution of the German Bundestag.</p> <p> </p>
Images of Construction and Demolition Waste Consting of Brick and Sand-lime Brick Transported on a Conveyor Belt - Recording with a Mass Flow of 15 g per s and a Mixing Ratio of 50 vs. 50 %
<p>This data set comprises images of bulk material of brick and sand-lime brick on a conveyor belt. The images were recorded on the small-scale optical belt sorter Tablesort. A thorough description of the system can be found in</p> <ul> <li><em>Georg Maier, Florian Pfaff, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden,Thomas Längle, Uwe D. Hanebeck, Jürgen Beyerer</em>, <strong>Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking</strong>,Transactions on Industrial Electronics, February 2020.</li> <li>See also the <a href="https://www.iosb.fraunhofer.de/en/projects-and-products/insideschuettgut">project website</a>.</li> </ul> <p>This dataset is part of a batch of recordings of construction and demolition waste consisting of brick and sand-lime brick on optical sorters. Please use the search function with the keywords "Images of Construction and Demolition Waste" (in quotes) to find them. The data set was recorded with a Bonito CL-400C. Please see the debayer script on GitHub <a href="https://github.com/geomai/debayer_bonito">https://github.com/geomai/debayer_bonito</a>. The frame rate is approximately 192 Hz.</p> <p><br> To this date, publications that used this data include</p> <ul> <li><em>Marcel Reith-Braun, Albert Bauer, Maximilian Staab, Florian Pfaff, Georg Maier, Robin Gruna, Thomas Längle, Jürgen Beyerer, Harald Kruggel-Emden and Uwe D. Hanebeck</em>, <strong>GridSort: Image-based Optical Bulk Material Sorting Using Convolutional LSTMs</strong>, 22nd IFAC World Congress, Yokohama, Japan, July 2023.</li> </ul> <p><strong>Acknowledgment</strong><br> The IGF project 20354 N of the research association Forschungs-Gesellschaft Verfahrens-Technik e.V. (GVT) was supported via the AiF in a program to promote the Industrial Community Research and Develo</p>
Images of Construction and Demolition Waste Consting of Brick and Sand-lime Brick Transported on a Conveyor Belt - Recording with a Mass Flow of 10 g per s and a Mixing Ratio of 90 vs. 10 %
<p>This data set comprises images of bulk material of brick and sand-lime brick on a conveyor belt. The images were recorded on the small-scale optical belt sorter Tablesort. A thorough description of the system can be found in</p> <ul> <li><em>Georg Maier, Florian Pfaff, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden,Thomas Längle, Uwe D. Hanebeck, Jürgen Beyerer</em>, <strong>Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking</strong>,Transactions on Industrial Electronics, February 2020.</li> <li>See also the <a href="https://www.iosb.fraunhofer.de/en/projects-and-products/insideschuettgut">project website</a>.</li> </ul> <p>This dataset is part of a batch of recordings of construction and demolition waste consisting of brick and sand-lime brick on optical sorters. Please use the search function with the keywords "Images of Construction and Demolition Waste" (in quotes) to find them. The data set was recorded with a Bonito CL-400C. Please see the debayer script on GitHub <a href="https://github.com/geomai/debayer_bonito">https://github.com/geomai/debayer_bonito</a>. The frame rate is approximately 192 Hz.</p> <p><br> To this date, publications that used this data include</p> <ul> <li><em>Marcel Reith-Braun, Albert Bauer, Maximilian Staab, Florian Pfaff, Georg Maier, Robin Gruna, Thomas Längle, Jürgen Beyerer, Harald Kruggel-Emden and Uwe D. Hanebeck</em>, <strong>GridSort: Image-based Optical Bulk Material Sorting Using Convolutional LSTMs</strong>, 22nd IFAC World Congress, Yokohama, Japan, July 2023.</li> </ul> <p><strong>Acknowledgment</strong><br> The IGF project 20354 N of the research association Forschungs-Gesellschaft Verfahrens-Technik e.V. (GVT) was supported via the AiF in a program to promote the Industrial Community Research and Development (IGF) by the Federal Ministry for Economic Affairs and Climate Action on the basis of a resolution of the German Bundestag.</p>
Images of Construction and Demolition Waste Consting of Brick and Sand-lime Brick Transported on a Conveyor Belt - Recording with a Mass Flow of 10 g per s and a Mixing Ratio of 75 vs. 25 %
<p>This data set comprises images of bulk material of brick and sand-lime brick on a conveyor belt. The images were recorded on the small-scale optical belt sorter Tablesort. A thorough description of the system can be found in</p> <ul> <li><em>Georg Maier, Florian Pfaff, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden,Thomas Längle, Uwe D. Hanebeck, Jürgen Beyerer</em>, <strong>Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking</strong>,Transactions on Industrial Electronics, February 2020.</li> <li>See also the <a href="https://www.iosb.fraunhofer.de/en/projects-and-products/insideschuettgut">project website</a>.</li> </ul> <p>This dataset is part of a batch of recordings of construction and demolition waste consisting of brick and sand-lime brick on optical sorters. Please use the search function with the keywords "Images of Construction and Demolition Waste" (in quotes) to find them. The data set was recorded with a Bonito CL-400C. Please see the debayer script on GitHub <a href="https://github.com/geomai/debayer_bonito">https://github.com/geomai/debayer_bonito</a>. The frame rate is approximately 192 Hz.</p> <p><br> To this date, publications that used this data include</p> <ul> <li><em>Marcel Reith-Braun, Albert Bauer, Maximilian Staab, Florian Pfaff, Georg Maier, Robin Gruna, Thomas Längle, Jürgen Beyerer, Harald Kruggel-Emden and Uwe D. Hanebeck</em>, <strong>GridSort: Image-based Optical Bulk Material Sorting Using Convolutional LSTMs</strong>, 22nd IFAC World Congress, Yokohama, Japan, July 2023.</li> </ul> <p><strong>Acknowledgment</strong><br> The IGF project 20354 N of the research association Forschungs-Gesellschaft Verfahrens-Technik e.V. (GVT) was supported via the AiF in a program to promote the Industrial Community Research and Development (IGF) by the Federal Ministry for Economic Affairs and Climate Action on the basis of a resolution of the German Bundestag.</p>
Images of Construction and Demolition Waste Consting of Brick and Sand-lime Brick Transported on a Conveyor Belt - Recording with a Mass Flow of 10 g per s and a Mixing Ratio of 95 vs. 5 %
<p>This data set comprises images of bulk material of brick and sand-lime brick on a conveyor belt. The images were recorded on the small-scale optical belt sorter Tablesort. A thorough description of the system can be found in</p> <ul> <li><em>Georg Maier, Florian Pfaff, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden,Thomas Längle, Uwe D. Hanebeck, Jürgen Beyerer</em>, <strong>Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking</strong>,Transactions on Industrial Electronics, February 2020.</li> <li>See also the <a href="https://www.iosb.fraunhofer.de/en/projects-and-products/insideschuettgut">project website</a>.</li> </ul> <p>This dataset is part of a batch of recordings of construction and demolition waste consisting of brick and sand-lime brick on optical sorters. Please use the search function with the keywords "Images of Construction and Demolition Waste" (in quotes) to find them. The data set was recorded with a Bonito CL-400C. Please see the debayer script on GitHub <a href="https://github.com/geomai/debayer_bonito">https://github.com/geomai/debayer_bonito</a>. The frame rate is approximately 192 Hz.</p> <p><br> To this date, publications that used this data include</p> <ul> <li><em>Marcel Reith-Braun, Albert Bauer, Maximilian Staab, Florian Pfaff, Georg Maier, Robin Gruna, Thomas Längle, Jürgen Beyerer, Harald Kruggel-Emden and Uwe D. Hanebeck</em>, <strong>GridSort: Image-based Optical Bulk Material Sorting Using Convolutional LSTMs</strong>, 22nd IFAC World Congress, Yokohama, Japan, July 2023.</li> </ul> <p><strong>Acknowledgment</strong><br> The IGF project 20354 N of the research association Forschungs-Gesellschaft Verfahrens-Technik e.V. (GVT) was supported via the AiF in a program to promote the Industrial Community Research and Development (IGF) by the Federal Ministry for Economic Affairs and Climate Action on the basis of a resolution of the German Bundestag.</p>
Images of Construction and Demolition Waste Consting of Brick and Sand-lime Brick Transported on a Conveyor Belt - Recording with a Mass Flow of 15 g per s and a Mixing Ratio of 95 vs. 5 %
<p>This data set comprises images of bulk material of brick and sand-lime brick on a conveyor belt. The images were recorded on the small-scale optical belt sorter Tablesort. A thorough description of the system can be found in</p> <ul> <li><em>Georg Maier, Florian Pfaff, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden,Thomas Längle, Uwe D. Hanebeck, Jürgen Beyerer</em>, <strong>Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking</strong>,Transactions on Industrial Electronics, February 2020.</li> <li>See also the <a href="https://www.iosb.fraunhofer.de/en/projects-and-products/insideschuettgut">project website</a>.</li> </ul> <p>This dataset is part of a batch of recordings of construction and demolition waste consisting of brick and sand-lime brick on optical sorters. Please use the search function with the keywords "Images of Construction and Demolition Waste" (in quotes) to find them. The data set was recorded with a Bonito CL-400C. Please see the debayer script on GitHub <a href="https://github.com/geomai/debayer_bonito">https://github.com/geomai/debayer_bonito</a>. The frame rate is approximately 192 Hz.</p> <p><br> To this date, publications that used this data include</p> <ul> <li><em>Marcel Reith-Braun, Albert Bauer, Maximilian Staab, Florian Pfaff, Georg Maier, Robin Gruna, Thomas Längle, Jürgen Beyerer, Harald Kruggel-Emden and Uwe D. Hanebeck</em>, <strong>GridSort: Image-based Optical Bulk Material Sorting Using Convolutional LSTMs</strong>, 22nd IFAC World Congress, Yokohama, Japan, July 2023.</li> </ul> <p><strong>Acknowledgment</strong><br> The IGF project 20354 N of the research association Forschungs-Gesellschaft Verfahrens-Technik e.V. (GVT) was supported via the AiF in a program to promote the Industrial Community Research and Development (IGF) by the Federal Ministry for Economic Affairs and Climate Action on the basis of a resolution of the German Bundestag.</p>
Images of Construction and Demolition Waste Consting of Brick Transported on a Conveyor Belt - Recording with a Mass Flow of 15 g per s
<p>This data set comprises images of bulk material of brick on a conveyor belt. The images were recorded on the small-scale optical belt sorter Tablesort. A thorough description of the system can be found in</p> <ul> <li><em>Georg Maier, Florian Pfaff, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden,Thomas Längle, Uwe D. Hanebeck, Jürgen Beyerer</em>, <strong>Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking</strong>,Transactions on Industrial Electronics, February 2020.</li> <li>See also the <a href="https://www.iosb.fraunhofer.de/en/projects-and-products/insideschuettgut">project website</a>.</li> </ul> <p>This dataset is part of a batch of recordings of construction and demolition waste consisting of brick and sand-lime brick on optical sorters. Please use the search function with the keywords "Images of Construction and Demolition Waste" (in quotes) to find them. The data set was recorded with a Bonito CL-400C. Please see the debayer script on GitHub <a href="https://github.com/geomai/debayer_bonito">https://github.com/geomai/debayer_bonito</a>. The frame rate is approximately 192 Hz.</p> <p><br> To this date, publications that used this data include</p> <ul> <li><em>Marcel Reith-Braun, Albert Bauer, Maximilian Staab, Florian Pfaff, Georg Maier, Robin Gruna, Thomas Längle, Jürgen Beyerer, Harald Kruggel-Emden and Uwe D. Hanebeck</em>, <strong>GridSort: Image-based Optical Bulk Material Sorting Using Convolutional LSTMs</strong>, 22nd IFAC World Congress, Yokohama, Japan, July 2023.</li> </ul> <p><strong>Acknowledgment</strong><br> The IGF project 20354 N of the research association Forschungs-Gesellschaft Verfahrens-Technik e.V. (GVT) was supported via the AiF in a program to promote the Industrial Community Research and Development (IGF) by the Federal Ministry for Economic Affairs and Climate Action on the basis of a resolution of the German Bundestag.</p>
Images of Construction and Demolition Waste Consting of Brick and Sand-lime Brick Transported on a Conveyor Belt - Recording with a Mass Flow of 20 g per s and a Mixing Ratio of 90 vs. 10 %
<p>This data set comprises images of bulk material of brick and sand-lime brick on a conveyor belt. The images were recorded on the small-scale optical belt sorter Tablesort. A thorough description of the system can be found in</p> <ul> <li><em>Georg Maier, Florian Pfaff, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden,Thomas Längle, Uwe D. Hanebeck, Jürgen Beyerer</em>, <strong>Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking</strong>,Transactions on Industrial Electronics, February 2020.</li> <li>See also the <a href="https://www.iosb.fraunhofer.de/en/projects-and-products/insideschuettgut">project website</a>.</li> </ul> <p>This dataset is part of a batch of recordings of construction and demolition waste consisting of brick and sand-lime brick on optical sorters. Please use the search function with the keywords "Images of Construction and Demolition Waste" (in quotes) to find them. The data set was recorded with a Bonito CL-400C. Please see the debayer script on GitHub <a href="https://github.com/geomai/debayer_bonito">https://github.com/geomai/debayer_bonito</a>. The frame rate is approximately 192 Hz.</p> <p><br> To this date, publications that used this data include</p> <ul> <li><em>Marcel Reith-Braun, Albert Bauer, Maximilian Staab, Florian Pfaff, Georg Maier, Robin Gruna, Thomas Längle, Jürgen Beyerer, Harald Kruggel-Emden and Uwe D. Hanebeck</em>, <strong>GridSort: Image-based Optical Bulk Material Sorting Using Convolutional LSTMs</strong>, 22nd IFAC World Congress, Yokohama, Japan, July 2023.</li> </ul> <p><strong>Acknowledgment</strong><br> The IGF project 20354 N of the research association Forschungs-Gesellschaft Verfahrens-Technik e.V. (GVT) was supported via the AiF in a program to promote the Industrial Community Research and Development (IGF) by the Federal Ministry for Economic Affairs and Climate Action on the basis of a resolution of the German Bundestag.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.
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.
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.
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.
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.