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514 results for “Waste”
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>
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 25 vs. 75 %
<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 25 vs. 75 %
<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 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 20 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 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 5 vs. 95 %
<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 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 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 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 15 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 Sand-lime 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 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 20 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 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 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>
Phytophthora in horticultural nursery green waste - a risk to plant health
<p>This dataset on Zenodo accompanies the manuscript Schiffer-Forsyth <em>et al.</em> (2023), Phytophthora in horticultural nursery green waste – a risk to plant health.</p> <p>There are two files:</p> <ul> <li>metadata.tsv - plain text table as tab-separated variables</li> <li>raw_data.tar.gz - compressed archive of 81 paired raw FASTQ files</li> </ul> <p>This represents a complete Illumina MiSeq run, with the names of the unrelated samples redacted.</p> <p>To repeat the analysis described in the paper, first install THAPBI PICT. See <a href="https://github.com/peterjc/thapbi-pict/">https://github.com/peterjc/thapbi-pict/ </a>for instructions. At the time of the paper, v0.14.1 was the current release (with a near-identical v1.0.0 expected to be released shortly).</p> <p>Next, decompress the raw data into a folder of paired gzipped FASTQ files. There is no need to decompress those:</p> <pre><code class="language-bash"> $ tar -zxvf raw_data.tar.gz $ ls -1 raw_data/</code></pre> <p>If you wish, verify the checksums to confirm the data integrity:</p> <pre><code class="language-bash"> $ cd raw_data/ $ md5sum -c MD5SUM.txt $ cd ..</code></pre> <p>Setup output directories:</p> <pre><code class="language-bash"> $ mkdir -p intermediate/ summary/</code></pre> <p>You can run the analysis in one step. This should take under five minutes: </p> <pre><code class="language-bash">$ thapbi_pict pipeline -i raw_data/ \ -n raw_data/SynCtrl_*.fastq.gz \ -y raw_data/SynCtrl_*.fastq.gz \ -s intermediate/ -o summary/ \ -t metadata.tsv -x 3 -c 1,2,4,5</code></pre> <p>The options here are as follows:</p> <ul> <li>-i raw_data - input directory of paired raw FASTQ files.</li> <li>-n raw_data/SynCtrl_*.fastq.gz - negative controls used to increase the absolute abundance threshold</li> <li>-y raw_data/SynCtrl_*.fastq.gz - synthetic controls used to increase the fractional abundance threshold</li> <li>-s intermediate/ - optional location to store intermediate files</li> <li>-o summary/ - output location for reports</li> <li>-t metadata.tsv -x 3 -c 1,2,4,5 - show and sort on metadata columns 1, 2, 4 and 5 from metadata.tsv using column 3 to cross-reference the FASTQ filename stems (semi-colon separated lists for replicates).</li> </ul> <p>This assumes the following key default settings:</p> <ul> <li>-a 100 -f 0.001 - default absolute and fractional abundance thresholds</li> <li>-d - - default to the provided ITS1 database</li> </ul> <p>With these settings, only synthetic sequences were found in the controls, and therefore the thresholds were not automatically increased any further.</p> <p>Note some of these options could change in future releases of the software, and in particular there would likely be additional Phytophthora species or sequences in future updates to the default database.</p> <p>Output file summary/ITS1.samples.onebp.xlsx (and .tsv) is equivalent to Table 2 (after pooling replicates, and applying human judgement to resolve ambiguous ITS1 markers shared by multiple species).</p> <p>Note <em>P. austrocedri</em> was identified in three samples, N2-Water_S2 and N2-Water_S22 described in this work, and a third sample REDACTED_S28 from another location.</p>
Total estimated number of informal waste pickers or recyclers in Kathmandu Valley, as of December 2022
<p>Using key informants representing different parts of the informal waste management value chain, the RIPL project has produced an updated estimated total number of informal recyclers for Kathmandu Valley, in December 2022. The overview includes methods of calculation and names of key informants. </p>
Database for "Estimation of the Energy Recovery and Emission Potential of Typically Incinerated Norwegian Waste Classes"
<p>A great challenge for waste-to-energy power plants is their uncertain and variable feedstock, which<br> can lead to the power plants not being run as efficiently as possible, leading to reduced energy<br> output and control of emissions. A way to describe the feedstock is to use surrogates. This is a<br> method where the hundreds or thousands of different species of a feedstock are modelled using a few<br> surrogate species, enabling the feedstock’s modelling. The surrogates also provide an estimation<br> of the HHV and the fraction of biomass, oil-based waste and inorganics.<br> This thesis formulated surrogates for waste classes typically incinerated, using a linear least-square<br> solution between available surrogate species and experimental values. Most of the species used<br> were from two existing models in the literature, but three new species were created to improve the<br> representation of some waste classes containing fossil-originated wastes, rubber and PET. These<br> were made by creating reactions based on experimental data from the literature and then testing<br> these reactions under pyrolysis conditions in a stochastic reactor model.<br> The surrogates for the waste classes were formulated by first dividing the waste into components<br> and then finding the surrogate formulation for each component. There were found surrogates<br> for 41 components, which were used to create the surrogate formulation for 30 waste classes. It<br> was found that most of the surrogates modelled the elemental composition accurately compared<br> to experimental values. A statistical overview of the experimental and model data for the waste<br> classes was also created. This overview is relevant for stakeholders in waste management and for<br> other research, such as life-cycle analysis.</p>
Impact of household bulky waste collection on the presence of dengue-transmitting mosquito breeding sites_dataset
<p>The objective was to evaluate the impact of a municipal strategy to reduce Ae. aegypti in Asunción focused on the management of household bulky waste. To estimate the result, the Difference in Difference (DID) method was used. For the baseline, a simple random sampling of 324 households was carried out. The intervention implemented by the local government in an area with 180,000 residents, contributed to the collection of the equivalent of 14 kilos of bulky waste per inhabitant, given an idea of the magnitude of the problem. For the evaluation survey, 2.5 to 4 years after the intervention, 120 households were randomly selected, of which 60% had not been intervened (control households) and 40% had been intervened. As a result, a significant reduction was achieved in the total number of large solid waste found in the homes that were the object of the intervention. The differentiated collection was used mainly by those households that had a large number of large solid waste (DID of -55%), but not to get rid of all of these objects, but only a part. The data present no evidence of change in the percentage of households with breeding containers between the intervention and control groups.</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.