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2,271 results for “transporte”
Data and Models for Salt Transport in Desert, Urban, and Irrigated Landscapes
<p>Folders contain data and models (SWAT, SWAT-MODFLOW) for analysis and modeling of salt fate and transport in urban, desert, and irrigated landscapes. Study regions include the Arkansas River Basin and the South Platte River Basin (Colorado, USA). The Education folder contains documentation of a STEM kit created at Colorado State University for guiding middle school and high school students through a 2-hour lab on salt pollution, transport, and mitigation in a mixed irrigation-desert watershed landscape.</p>
Wave-influenced Delta Morphodynamics, Long-term Sediment Bypass and Trapping Controlled by Relative Magnitudes of Riverine and Wave-driven Sediment Transport
<p>This repository contains supporting data for *Wave-influenced Delta Morphodynamics, Long-term Sediment Bypass and Trapping Controlled by Relative Magnitudes of Riverine and Wave-driven Sediment Transport,* submitted to Geophysical Research Letters.</p> <p>Delft3D Config for Q1000Qs100Hs15.docx → contains configuration file info for running the Delft3d simulation Q1000Qs100Hs15.</p> <p>Matlab 2022b was used to load Delft3D output files and process the data.</p> <p>WaveDelta_Depth&DepositThick.mat Contains:</p> <p>Depth → timesteps x 322 x 142. Timesteps are variable for each simulation.</p> <p>MSEDRiverSum → 4 x 322 x 142. Mass of sediments from riverine source at four intermediate timesteps. </p> <p>MSEDWaveSum → 4 x 322 x 142. Mass of sediments from longshore transport (LSTUp) source at four intermediate timesteps.</p> <p>VolRiverSum → 322 x 142. Final Volume of sediments from riverine source.</p> <p>VolWaveSum → 322 x 142. Final Volume of sediments from longshore transport (LSTUp) source.</p> <p>XCOR & YCOR are the X and Y grid coordinate locations for maps (322 x 142).</p> <p>Shift2&4km are used for cases highly skewed downdrift to correct for 0 location at the river mouth.</p> <p>Cerc_formula.mlx Computes CERC longshore transport for the simulation conditions.</p> <p>J.mlx calculates river mouth balance (J) values (Nienhuis et al. (2016)) presented in Figure S4. </p> <p>Additional 114 Figures are provided in Data_Visualization_Figures.rar to show Depth and thickness; subaqueous morphodynamics and depth and sediment transport (quiver).</p>
Transport chirality generated by a tunable tilt of Weyl nodes in a van der Waals topological magnet
<p>The source ASCII data files for the article entitled "Transport chirality generated by a tunable tilt of Weyl<br>nodes in a van der Waals topological magnet".</p>
Data for: In situ generation of (sub) nanometer pores in MoS2 membranes for ion-selective transport
<p>Source data for Fig 1-3 includes data for ion transport measurements and pore size distributions.</p> <p>Source data for Fig. 4 includes trajectory data for molecular dynamics simulations, exclusively for ions within MoS2 nanopores, as well as full trajectory data for the calculation of water-diffusion in 1 nm, 2 nm pores and the bulk reservoir (without an applied electric field). </p>
Perspectives of Persons with Physical Impairments: Issues of Accessibility of Transportation Systems for Effective Inclusion in the English-Speaking Regions of Cameroon
<p>The paper investigated the adaptation for accessibility of transportation systems for effective inclusion of persons with physical disabilities in the English- speaking regions of Cameroon. Specifically, the article seeks to find out the impact of priority seating arrangement, the impact of audio-visual tactile information service, the impact of accessible parking and the provision of emergency evacuation plans on effective inclusion of persons with physical disabilities in the English-Speaking Regions of Cameroon. Literature was reviewed conceptually, theoretically and empirically. Using exploratory research design, the study sample 12 persons with physical disabilities, using an interview guide and observational check-list. Therefore, the study made use of qualitative data. The qualitative data was analyzed thematically, using themes and sample quotations. The findings showed that the current priority seating system in public transportation within the participants' community fails to provide an inclusive and accessible experience for individuals with physical, visual, and hearing impairments. Also, the findings from this research indicate that the lack of accessible and inclusive audio-visual tactile information in the public transportation systems of the English-Speaking Regions of Cameroon presents significant barriers to the full and equal participation of persons with physical disabilities. Moreover, the results of this study show that accessible parking impact effective inclusion of persons with physical disabilities in the English-Speaking Regions of Cameroon. Finally, the findings indicate a concerning lack of adequate emergency evacuation plans and procedures that consider the needs and safety of individuals with physical disabilities in the transportation infrastructure of the region. It was therefore, concluded that the adaptation for accessibility of transportation systems had a high effect on the inclusion of persons with physical disabilities in the English- speaking regions of Cameroon. Based on this, it is suggested thattransport providers should enhance the Priority Seating System; implement clear and visible markings for priority seating areas in public transportation vehicles, ensure that priority seating is designed with the specific needs of individuals with physical, visual, and hearing impairments in mind, such as providing adjustable and ergonomic seating options and develop and enforce policies that mandate the proper use of priority seating and promote a culture of respect and awareness among passengers.</p>
Equation of State, Structure, and Transport Properties of Iron Hydride Melts at Planetary Interior Conditions dataset
<p>Datasets from <a href="https://doi.org/10.1029/2024JE008525">https://doi.org/10.1029/2024JE008525</a></p> <p>"Equation of State, Structure, and Transport Properties of Iron Hydride Melts at Planetary Interior Conditions"</p> <p>Emma R. Stoutenburg1, Razvan Caracas2, Natalia V. Solomatova3, and Andrew J. Campbell1</p> <p>1Department of the Geophysical Sciences, University of Chicago, Chicago, IL, USA, 2 Université Paris Cité, Institut de Physique du Globe de Paris, CNRS, 1 rue Jussieu, Paris, France, 3CNRS, Ecole Normale Supérieure de Lyon, Laboratoire de Géologie de Lyon LGLTPE UMR5276, Centre Blaise Pascal, Lyon, France</p> <p>--- </p> <p><em>Please make sure you download data from the 30 October, 2024 version. </em> </p> <p>--- </p> <p>ds01.xlsx</p> <p>Contains pressure, density, volume, and temperature of the main dataset discussed in the paper (10 and 100 GPa). Also included are the diffusivities of iron and hydrogen in units of m2/s, viscosity in units of Pa⋅s, average Fe-Fe and Fe-H coordination numbers and bond lengths, as well as the molecular hydrogen abundance and the average number of Fe in H1, H2, and H3 clusters. Nominal pressures, Pnom are provided as these data were generalized within the text; their actual pressure, Pavg, are provided as well. (v1 vs v2: viscosity columns ([visc_Pas, visc_std] were updated, as a typo was discovered in the calculation of viscosity and it was a factor of 1/3 too small; May 2024: added molecular hydrogen data; October 2024, viscosity updated to include a neglected factor of 1/2).</p> <p>ds02.xlsx</p> <p>Contains all the data used in fitting the equation of state (v1-2 vs May 2024: P<10 GPa added to equation of state fit). The first sheet includes the molar volume, temperature, pressure (P), the magnetism corrected pressure (P_magcor115), and the residuals from the equation of state fits (both Birch Murnaghan and Vinet). The second sheet includes the comparison of spin polarized and non-spin polarized pressure in the iron hydrides at ~1 GPa. The third sheet includes the comparison of spin polarized and non-spin polarized pressure in pure iron. </p> <p>FeH-EOS_XfromrhoPT.py</p> <p>added in Oct 2024 update, a simple python function that estimates the hydrogen content of an Fe-H melt with a given density, pressure, and temperature </p>
Simulations of proglacial forefield morphodynamics and sediment transport to changing boundary conditions
<p>This dataset includes the simulated sediment flux records, stream statistics (braiding index and bar proprieties), DEMs and inundation maps of a proglacial forefield under different boundary conditions. Further information are available in: </p> <p>Mancini, D., Nicholas, A.P., Roncoroni, M., Müller, T., Jenkin, M., Miesen, F., Dietze, M., Calvo, F. & Lane, S.N. (submitted). Simulations of proglacial forefield morphodynamics and their implications for the filtering of subglacial sediment export following glacier retreat. <em>Earth Surface Processes and Landforms</em>.</p> <p>General information:</p> <ul> <li>Domain size: 462 x 125 pixels</li> <li>Time step (sediment fluxes): 0.005 days</li> <li>Time tep (inundation maps, DEMs and stream stats): 0.2 days</li> </ul> <p>The model used to produce them is called eRiDynaS, and enquiries regarding its availability should be directed to a.p.nicholas@exeter.ac.uk.</p>
Lithium Ion Battery Test Dataset for Maritime Transport INR18650-MJ1
<p>INR18650-MJ1 test data obtained from cycling under conditions relevant for maritime transport applications.</p>
Data from: Riverine transport and nutrient inputs affect phytoplankton communities in a coastal embayment
<p>1. Rivers often transport phytoplankton to coastal embayments and introduce nutrients that can enrich coastal plankton communities. We investigated the effects of the Nottawasaga River on the nearshore (i.e., within 500 m of shore) phytoplankton composition along a 10 km transect of Nottawasaga Bay, Lake Huron in 2015 and 2016. Imaging flow cytometry was used to identify and enumerate algal taxa, which were resolved at sizes larger than small nanoplankton (i.e., > 5 mm). Multivariate analysis (perMANOVA and RDA) and a dilution model were used to examine how nutrients and the transport of algal taxa affected community composition in the bay.</p> <p>2. Sampling stations with different percentages of river water had significantly different phytoplankton communities. Phytoplankton community composition was also strongly associated with nutrients, including total phosphorus, which also varied with the percentage of river water. The majority of the 51 phytoplankton taxa identified in 2016 had numerical abundances in the bay that could be explained simply by the dilution of incoming river water.</p> <p>3. Phytoplankton transported from the river had a higher proportion of "edible-sized" cells (< 30 mm), particularly in summer when colonial cyanobacteria were numerically dominant in the bay. Six taxa were more abundant than expected from the dilution of river water and included some cyanobacteria with late summer maxima. Five of the taxa that were transported from the river were less abundant than expected in the bay.</p> <p>4. Whereas impacts of fertilization due to the characteristically higher nutrient concentration in the river are to be expected, the strong and highly correlated effects of transport within the narrow coastal band of this study largely concealed any distinct fertilization effects.</p> <p>5. Riverine inputs may strongly influence the near-shore assemblage of phytoplankton in oligotrophic embayments in large lakes, creating hotspots for productivity, species turnover and trophic dynamics.</p>
Dataset for Article: Hybrid Flexible Flowshop with Transportation Times at CP 2021
<p>This dataset contains the benchmark data used for the article "Hybrid Flexible Flowshop with Transportation Times" to appear at the 27th International Conference on Principles and Practice of Constraint Programming in Montpellier, France, from October 25th - 29th, 2021. The data consist of a MiniZinc program cp2021.mzn, and an archive of datafiles in MiniZinc data format. The archive contains 25 instances each of sizes 20, 25, 30, 40, 50, 100, 200, 400 jobs. A detailed description of the program and the data is given in the original article. </p>
Impact of RbF and NaF Postdeposition Treatments on Charge Carrier Transport and Recombination in Ga-Graded Cu(In,Ga)Se2 Solar Cells
<p>Excel file with data to all figures published in our article found at <a href="https://doi.org/10.1002/adfm.202103663">https://doi.org/10.1002/adfm.202103663 </a>(Advanced Functional Materials)</p>
Video from: Two-dimensional hybrid model of gradient drift instability and enhanced electron transport in a Hall thruster
<p>The video data for Fig. 3 in "Two-dimensional hybrid model of gradient drift instability and enhanced electron transport in a Hall thruster."</p>
Data from: Detailed characterization of the UMAMITs proteins provides insight into their evolution, amino acid transport properties, and role in the plant
<p>Amino acid transporters play a critical role in distributing amino acids within the cell compartments and between the plant organs. Despite this importance, relatively few amino acid transporter genes have been characterized and their role elucidated with certainty. Two main families of proteins encode amino acid transporters in plants: the Amino Acid-Polyamine-Organocation superfamily, containing mostly importers, and the Usually Multiple Acids Move In and out Transporter family, apparently encoding exporters, totaling 63 and 44 genes in Arabidopsis, respectively. Knowledge on UMAMITs is scarce, based on six Arabidopsis genes and a handful of genes from other species. To get insight into the role of the members of this family and provide data to be used for future characterization, we studied the evolution of the UMAMITs in plants, and determined the functional properties, the structure, and the localization of the 47 Arabidopsis UMAMITs. Our analysis showed that the AtUMAMITs are essentially localized at the tonoplast or the plasma membrane, and that most of them are able to export amino acids from the cytosol, confirming a role in intra- and inter-cellular amino acid transport. As an example, this set of data was used to hypothesize the role of a few AtUMAMITs in the plant and the cell.</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>
MUSE: Multimodal Separators for Efficient Route Planning in Transportation Networks
<p>This dataset was used in the experimental evaluation of the MUSE route planning algorithm. It encompasses the Ile-de-France multimodal network. The dataset contains:</p> <p>1. The raw osm file of the Ile-de-France region from OpenStreetMap.</p> <p>2. The raw GTFS data for the public transit network.</p> <p>3. The multimodal graph based on 5 partitions: 100, 200, 300, 400, and 500 cells.</p> <p>4. The Nondeterministic Finite Automata (NFA) used during the preprocessing and query stages of MUSE.</p> <p>5. The graph overlay evaluated during the preprocessing stage of MUSE.</p> <p>To test MUSE and review the details of this dataset, please visit https://github.com/aminefalek/muse</p>
Variability in timing and transport of Pleistocene meltwater recharge to regional aquifers
<p>Table S1 and Table S2 for Supplementary Information for article 2021GL094285 (<em>Variability in timing and transport of Pleistocene meltwater recharge to regional aquifers</em>) in Geophysical Research Letters.</p>
H-alpha Emission as a Diagnostic of Plasma Transport Mechanics in Centrifugal Magnetospheres
<p>Approximately one quarter of magnetic early (B5-B0) B-type type stars display Balmer line emission originating in centrifugal magnetospheres (CMs). Indeed, the CMs of these stars are uniquely detectable in all available magnetospheric diagnostics (radio synchrotron, NIR, Balmer emission, UV emission, and X-rays), and therefore represent an excellent opportunity for detailed study of magnetospheric plasmas. All CM host-stars are young, possess strong magnetic fields, and are rapid rotators, properties consistent with expectations from the Rigidly Rotating Magnetosphere model and evolutionary models incorporating magnetic braking. The nature of mass transport within CMs has been debated, with two competing scenarios: centrifugally driven magnetic reconnection due to overloading of the magnetic field by the stellar wind, and leakage arising from diffusion and drift of ions across magnetic field lines. We have conducted the first detailed study of the Halpha emission properties of the population of CM host stars. The results demonstrate that mass balancing must be accomplished by breakout. We find that emission strength is independent of mass-loss rate and can, to first order, be predicted simply by the strength of the equatorial magnetic field at the Kepler corotation radius. However, an apparent cutoff in the presence of emission lines at low luminosities may be indicative of diffusion/drift mechanisms becoming dominant in the weak-wind regime. We briefly point to potential implications of these results for X-ray and radio synchrotron emission.</p>
Images of Balls Transported on a Conveyor Belt - Recording 1
<p>This data set comprises images of balls on a conveyor belt. The images were recorded on the small-scale optical belt sorter Tablesort. A thorough description of the Tablesort 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/inside-schuettgut.html">project website</a>.</li> </ul> <p>This dataset is part of a batch of recordings on optical sorters. Please use the search function with the keyword "Tobias Hornberger" (in quotes) to find them or use the list at <a href="https://doi.org/10.5281/zenodo.5506551">https://doi.org/10.5281/zenodo.5506551</a> (conveyor belt data sets only).</p> <p>The camera was recorded on a Bonito CL-400C. The calibration image for the extrinsic parameters can be found in calibration_extrinsics.png for the extrinsics and calibration_color.png for the color calibration. Please see the debayer script on <a href="https://github.com/geomai/debayer_bonito">GitHub</a><strong>.</strong> Each pixel is approximately 0.056 mm long in world coordinates. The frame rate is 192.9 Hz.</p> <p>Algorithms for two key challenges can be developed and evaluated on the data sets:</p> <ol> <li>Multitarget tracking for predicting the particle’s motion. This can be used to enhance the separation of optical sorters. For further details on this, see the publications <ul> <li><em>Florian Pfaff, Marcus Baum, Benjamin Noack, Uwe D. Hanebeck, Robin Gruna, Thomas Längle, Jürgen Beyerer,</em><br> <strong>TrackSort: Predictive Tracking for Sorting Uncooperative Bulk Materials,</strong><br> Proceedings of the 2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2015), San Diego, California, USA, September 2015.</li> <li><em>Florian Pfaff, Christoph Pieper, Georg Maier, Benjamin Noack, Robin Gruna, Harald Kruggel-Emden, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Thomas Längle, Jürgen Beyerer,</em><br> <strong>Predictive Tracking with Improved Motion Models for Optical Belt Sorting</strong>,<br> at – Automatisierungstechnik, April 2020.</li> </ul> </li> <li>Classification of particles. The classification may use a multitarget tracker to accumulate visual features over time. One can also use the information on the trajectory to classify the particles. For information on this, refer to <ul> <li><em>Georg Maier, Florian Pfaff, Florian Becker, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas Längle, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Jürgen Beyerer,</em><br> <strong>Improving Material Characterization in Sensor-Based Sorting by Utilizing Motion Information,</strong><br> Proceedings of the 3rd Conference on Optical Characterization of Materials (OCM 2017), Karlsruhe, Germany, March 2017.</li> <li><em>Georg Maier, Florian Pfaff, Florian Becker, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas Längle, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Jürgen Beyerer,</em><br> <strong>Motion-Based Material Characterization in Sensor-Based Sorting,</strong> <br> tm – Technisches Messen, De Gruyter, October 2017.</li> </ul> </li> </ol> <p><br> To this date, publications that used these data include</p> <ul> <li><em>Daniel Pollithy, Marcel Reith-Braun, Florian Pfaff, Uwe D. Hanebeck,</em><br> <strong>Estimating Uncertainties of Recurrent Neural Networks in Application to Multitarget Tracking</strong>,<br> Proceedings of the 2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2020), Virtual, September 2020.</li> </ul> <p>CSV-files with already associated particle tracks are available at <a href="https://doi.org/10.5281/zenodo.5506551">https://doi.org/10.5281/zenodo.5506551</a>.</p> <p><strong>Acknowledgment</strong></p> <p>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 Energy on the basis of a resolution of the German Bundestag.</p>
Images of Balls Transported on a Conveyor Belt - Recording 9
<p>This data set comprises images of balls on a conveyor belt. The images were recorded on the small-scale optical belt sorter Tablesort. A thorough description of the Tablesort 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/inside-schuettgut.html">project website</a>.</li> </ul> <p>This dataset is part of a batch of recordings on optical sorters. Please use the search function with the keyword "Tobias Hornberger" (in quotes) to find them or use the list at <a href="https://doi.org/10.5281/zenodo.5506551">https://doi.org/10.5281/zenodo.5506551</a> (conveyor belt data sets only).</p> <p>The camera was recorded on a Bonito CL-400C. The calibration image for the extrinsic parameters can be found in calibration_extrinsics.png for the extrinsics and calibration_color.png for the color calibration. Please see the debayer script on <a href="https://github.com/geomai/debayer_bonito">GitHub</a><strong>.</strong> Each pixel is approximately 0.056 mm long in world coordinates. The frame rate is 192.9 Hz.</p> <p>Algorithms for two key challenges can be developed and evaluated on the data sets:</p> <ol> <li>Multitarget tracking for predicting the particle’s motion. This can be used to enhance the separation of optical sorters. For further details on this, see the publications <ul> <li><em>Florian Pfaff, Marcus Baum, Benjamin Noack, Uwe D. Hanebeck, Robin Gruna, Thomas Längle, Jürgen Beyerer,</em><br> <strong>TrackSort: Predictive Tracking for Sorting Uncooperative Bulk Materials,</strong><br> Proceedings of the 2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2015), San Diego, California, USA, September 2015.</li> <li><em>Florian Pfaff, Christoph Pieper, Georg Maier, Benjamin Noack, Robin Gruna, Harald Kruggel-Emden, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Thomas Längle, Jürgen Beyerer,</em><br> <strong>Predictive Tracking with Improved Motion Models for Optical Belt Sorting</strong>,<br> at – Automatisierungstechnik, April 2020.</li> </ul> </li> <li>Classification of particles. The classification may use a multitarget tracker to accumulate visual features over time. One can also use the information on the trajectory to classify the particles. For information on this, refer to <ul> <li><em>Georg Maier, Florian Pfaff, Florian Becker, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas Längle, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Jürgen Beyerer,</em><br> <strong>Improving Material Characterization in Sensor-Based Sorting by Utilizing Motion Information,</strong><br> Proceedings of the 3rd Conference on Optical Characterization of Materials (OCM 2017), Karlsruhe, Germany, March 2017.</li> <li><em>Georg Maier, Florian Pfaff, Florian Becker, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas Längle, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Jürgen Beyerer,</em><br> <strong>Motion-Based Material Characterization in Sensor-Based Sorting,</strong> <br> tm – Technisches Messen, De Gruyter, October 2017.</li> </ul> </li> </ol> <p><br> To this date, publications that used these data include</p> <ul> <li><em>Daniel Pollithy, Marcel Reith-Braun, Florian Pfaff, Uwe D. Hanebeck,</em><br> <strong>Estimating Uncertainties of Recurrent Neural Networks in Application to Multitarget Tracking</strong>,<br> Proceedings of the 2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2020), Virtual, September 2020.</li> </ul> <p>CSV-files with already associated particle tracks are available at <a href="https://doi.org/10.5281/zenodo.5506551">https://doi.org/10.5281/zenodo.5506551</a>.</p> <p><strong>Acknowledgment</strong></p> <p>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 Energy on the basis of a resolution of the German Bundestag.</p>
Images of Cylinders Transported on a Conveyor Belt - Recording 11
<p>This data set comprises images of cylinders on a conveyor belt. The images were recorded on the small-scale optical belt sorter Tablesort. A thorough description of the Tablesort 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/inside-schuettgut.html">project website</a>.</li> </ul> <p>This dataset is part of a batch of recordings on optical sorters. Please use the search function with the keyword "Tobias Hornberger" (in quotes) to find them or use the list at <a href="https://doi.org/10.5281/zenodo.5506551">https://doi.org/10.5281/zenodo.5506551</a> (conveyor belt data sets only).</p> <p>The camera was recorded on a Bonito CL-400C. The calibration image for the extrinsic parameters can be found in calibration_extrinsics.png for the extrinsics and calibration_color.png for the color calibration. Please see the debayer script on <a href="https://github.com/geomai/debayer_bonito">GitHub</a><strong>.</strong> Each pixel is approximately 0.056 mm long in world coordinates. The frame rate is 192.9 Hz.</p> <p>Algorithms for two key challenges can be developed and evaluated on the data sets:</p> <ol> <li>Multitarget tracking for predicting the particle’s motion. This can be used to enhance the separation of optical sorters. For further details on this, see the publications <ul> <li><em>Florian Pfaff, Marcus Baum, Benjamin Noack, Uwe D. Hanebeck, Robin Gruna, Thomas Längle, Jürgen Beyerer,</em><br> <strong>TrackSort: Predictive Tracking for Sorting Uncooperative Bulk Materials,</strong><br> Proceedings of the 2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2015), San Diego, California, USA, September 2015.</li> <li><em>Florian Pfaff, Christoph Pieper, Georg Maier, Benjamin Noack, Robin Gruna, Harald Kruggel-Emden, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Thomas Längle, Jürgen Beyerer,</em><br> <strong>Predictive Tracking with Improved Motion Models for Optical Belt Sorting</strong>,<br> at – Automatisierungstechnik, April 2020.</li> </ul> </li> <li>Classification of particles. The classification may use a multitarget tracker to accumulate visual features over time. One can also use the information on the trajectory to classify the particles. For information on this, refer to <ul> <li><em>Georg Maier, Florian Pfaff, Florian Becker, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas Längle, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Jürgen Beyerer,</em><br> <strong>Improving Material Characterization in Sensor-Based Sorting by Utilizing Motion Information,</strong><br> Proceedings of the 3rd Conference on Optical Characterization of Materials (OCM 2017), Karlsruhe, Germany, March 2017.</li> <li><em>Georg Maier, Florian Pfaff, Florian Becker, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas Längle, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Jürgen Beyerer,</em><br> <strong>Motion-Based Material Characterization in Sensor-Based Sorting,</strong> <br> tm – Technisches Messen, De Gruyter, October 2017.</li> </ul> </li> </ol> <p><br> To this date, publications that used these data include</p> <ul> <li><em>Daniel Pollithy, Marcel Reith-Braun, Florian Pfaff, Uwe D. Hanebeck,</em><br> <strong>Estimating Uncertainties of Recurrent Neural Networks in Application to Multitarget Tracking</strong>,<br> Proceedings of the 2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2020), Virtual, September 2020.</li> </ul> <p>CSV-files with already associated particle tracks are available at <a href="https://doi.org/10.5281/zenodo.5506551">https://doi.org/10.5281/zenodo.5506551</a>.</p> <p><strong>Acknowledgment</strong></p> <p>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 Energy on the basis of a resolution of the German Bundestag.</p>
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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.
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.