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zenodo36/100

Images of Balls Transported on a Chute - Recording 8

<p>This data set comprises images of balls on a chute. The images were recorded on the small-scale optical belt sorter Tablesort.&nbsp;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 L&auml;ngle, Uwe D. Hanebeck, J&uuml;rgen Beyerer,</em>&nbsp;<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 &quot;Tobias Hornberger&quot; (in quotes) to find them.</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>&nbsp;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&rsquo;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 L&auml;ngle, J&uuml;rgen 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 L&auml;ngle, J&uuml;rgen Beyerer,</em><br> <strong>Predictive Tracking with Improved Motion Models for Optical Belt Sorting</strong>,<br> at &ndash; 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 L&auml;ngle, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, J&uuml;rgen 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 L&auml;ngle, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, J&uuml;rgen Beyerer,</em><br> <strong>Motion-Based Material Characterization in Sensor-Based Sorting,</strong>&nbsp;<br> tm &ndash; Technisches Messen, De Gruyter, October 2017.</li> </ul> </li> </ol> <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>

opencc-by-4.0Sep 2021View details →
zenodo36/100

Structural determinants of ligands recognition by the human mitochondrial basic amino acids transporter SLC25A29. Insights from molecular dynamics simulations of the c-state.

<p>Initial coordinates, molecular dynamics trajectories and representative snapshots resulting from the study &quot;Structural determinants of ligands recognition by the human mitochondrial basic amino acids transporter SLC25A29. Insights from molecular dynamics simulations of the c-state.&quot; by Pasquadibisceglie and Polticelli.</p> <p>The MD folders contain the parameter/topology (parm7) and initial coordinates (rst7) for the molecular dynamics simulations. Moreover, a NetCDF trajectory &quot;prod.nc&quot; of the production phase is also included.<br> In detail:<br> - MD0 -&gt; SLC25A29 in absence of ligands;<br> - MD1, MD3, MD4 -&gt; SLC25A29-ARG complex;<br> - MD1-LYS, MD3-LYS, MD4-LYS -&gt; SLC25A29-LYS complex.</p> <p>The folder PDB_figures contains the PDB files used to produce the figures presented in the manuscript.</p>

opencc-by-4.0Sep 2021View details →
zenodo36/100

Simulated CO2 time series data based on Jena CO2 inversion and TM3 transport model, and MIROC-ACTM

<p>Each file contains simulated CO2 time series at each surface station. The model, simulation type, and station&nbsp;are specified in the file name. These simulations are driven by either varying winds alone (e.g., Jena_W) or varying winds and fluxes (e.g., Jena_WF). The only MIROC-ACTM run is named ACTM_W_MLO.</p>

opencc-by-4.0Sep 2021View details →
zenodo36/100

Images of Balls Transported on a Chute - Recording 4

<p>This data set comprises images of balls on a chute. The images were recorded on the small-scale optical belt sorter Tablesort.&nbsp;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 L&auml;ngle, Uwe D. Hanebeck, J&uuml;rgen Beyerer,</em>&nbsp;<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 &quot;Tobias Hornberger&quot; (in quotes) to find them.</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>&nbsp;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&rsquo;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 L&auml;ngle, J&uuml;rgen 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 L&auml;ngle, J&uuml;rgen Beyerer,</em><br> <strong>Predictive Tracking with Improved Motion Models for Optical Belt Sorting</strong>,<br> at &ndash; 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 L&auml;ngle, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, J&uuml;rgen 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 L&auml;ngle, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, J&uuml;rgen Beyerer,</em><br> <strong>Motion-Based Material Characterization in Sensor-Based Sorting,</strong>&nbsp;<br> tm &ndash; Technisches Messen, De Gruyter, October 2017.</li> </ul> </li> </ol> <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>

opencc-by-4.0Aug 2021View details →
zenodo36/100

Images of Balls Transported on a Chute - Recording 7

<p>This data set comprises images of balls on a chute. The images were recorded on the small-scale optical belt sorter Tablesort.&nbsp;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 L&auml;ngle, Uwe D. Hanebeck, J&uuml;rgen Beyerer,</em>&nbsp;<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 &quot;Tobias Hornberger&quot; (in quotes) to find them.</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>&nbsp;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&rsquo;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 L&auml;ngle, J&uuml;rgen 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 L&auml;ngle, J&uuml;rgen Beyerer,</em><br> <strong>Predictive Tracking with Improved Motion Models for Optical Belt Sorting</strong>,<br> at &ndash; 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 L&auml;ngle, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, J&uuml;rgen 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 L&auml;ngle, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, J&uuml;rgen Beyerer,</em><br> <strong>Motion-Based Material Characterization in Sensor-Based Sorting,</strong>&nbsp;<br> tm &ndash; Technisches Messen, De Gruyter, October 2017.</li> </ul> </li> </ol> <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>

opencc-by-4.0Sep 2021View details →
zenodo36/100

Images of Balls Transported on a Chute - Recording 1

<p>This data set comprises images of balls on a chute. The images were recorded on the small-scale optical belt sorter Tablesort.&nbsp;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 L&auml;ngle, Uwe D. Hanebeck, J&uuml;rgen Beyerer,</em>&nbsp;<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 &quot;Tobias Hornberger&quot; (in quotes) to find them.</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>&nbsp;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&rsquo;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 L&auml;ngle, J&uuml;rgen 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 L&auml;ngle, J&uuml;rgen Beyerer,</em><br> <strong>Predictive Tracking with Improved Motion Models for Optical Belt Sorting</strong>,<br> at &ndash; 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 L&auml;ngle, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, J&uuml;rgen 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 L&auml;ngle, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, J&uuml;rgen Beyerer,</em><br> <strong>Motion-Based Material Characterization in Sensor-Based Sorting,</strong>&nbsp;<br> tm &ndash; Technisches Messen, De Gruyter, October 2017.</li> </ul> </li> </ol> <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>

opencc-by-4.0Aug 2021View details →
zenodo36/100

E-scooters: competition with shared bicycles and relationship to public transport (processed datasets)

<p>Processed datasets for article &quot;E-scooters: competition with shared bicycles and relationship to public transport&quot; by Łukasz Nawaro (University of Warsaw, Faculty of Economic Sciences).</p>

opencc-by-4.0Sep 2021View details →
zenodo36/100

Data on Predictive Resilience of Interdependent Water and Transportation Infrastructures: A Sociotechnical Approach

<p>Interdependent critical infrastructures are vulnerable to the cascading effect of failures resulting from random failures and natural disasters. The data provided in this work is the processed data used for the proposed resilience assessment framework for interdependent water-transportation networks dealing with both types of failure \citep{1}. The case study is the interconnected networks of water and transportation in Tampa, Florida. The data for the random failure is obtained from the developed algorithmic framework and the land use and social vulnerability data provided by U.S. Census datasets. We then used a subset of this produced data to construct the predictive models for the network resilience to random failures. As for the natural disaster scenario, we focused on hurricane Irma in 2017 as it directly affected the focused region in Florida. We used the specific guidelines and the raw flooding data for this hurricane provided by FEMA to estimate the standing water for each geographical area (polygons) and the associated network components. We labeled the areas as failed and undamaged based on the estimated water levels. Finally, we used this data for developing a geospatial Geographical Weighted Regression (GWR) model to predict the resilience in each polygon. We present the final dataset for water and transportation networks to facilitate reusability for any future resilience study in the selected urban area.&nbsp;</p>

openother-openOct 2021View details →
zenodo36/100

A generalized Hooke's law to study the transport properties of rocks

<p>The nonlinear characteristics of the rock transport properties as a function of stress (permeability and electrical conductivity in this study) is closely related to the geometry of the pore space, which consists of stiff pores, cracks and fractures. We consider two behaviors of the pore space, one linear and the other exponential, related to the stiff pores and fractures, respectively, where a generalized Hooke&#39;s law describes the relation between stress and strain. Using this theory, we derive relations between porosity, transport properties and effective stress (confining minus pore pressure), which are validated by experimental data of four tight sandstones collected from the Shaximiao Formation of Sichuan Basin, southwest China. The agreement is good. At low effective stresses, the closure of cracks is the main mechanism affecting the transport properties, whose behavior is similar in terms of their parameters. Subsequently, experimental data of six tight sandstones from the Yanchang Formation, collected from the Ordos Basin, west China, are employed to confirm the previous results, indicating that the fluid and electrical current follow the same path in the pore space. In addition, we find that the effect of metallic minerals on the electrical conductivity is more significant than that of clay.</p>

opencc-by-4.0Oct 2022View details →
zenodo36/100

Transportation demands of brazilian carrier in 2020 and 2021

<p>This dataset contians daily demands of the dispatch locations of a brazilian carrier, considering the order id, weight, volume, source location and item commodity.</p>

opencc-by-4.0Nov 2022View details →
zenodo36/100

Development of the multi-dimensional Mobility Divide Index as a methodology to assess the accessibility level of public transport systems

<p>This paper presents the development of a multi-dimensional Mobility Divide Index (MDI) for assessing the accessibility of public transport developed using a co-design approach, directly involving end-users in the index design process. The index measures the gap that persons with disabilities feel they need to over-come to use public transport in the same way non-disabled citizens do. The MDI covers six accessibility-related dimensions: 1) safety, 2) convenience, 3) comfort, 4) affordability, 5) travel time, 6) autonomy. The method paper describes&nbsp; the step-by-step approach to create the MDI as a set of indicators to be rated by people with different access needs to a) provide evidence of the main criticalities to be addressed through the design and implementation of new inclusive mobility solutions, b) guide the design of new inclusive mobility solutions and measure their impacts and c) inform the transport sector encouraging positive changes in transport by providing recommendations for policy-making, new directions for service innovation, improvements and practical advice or highlighting investment priorities to pave the way for a more inclusive mobility. We present our findings in ways that can inform universal design and provide actionable information to researchers, policymakers, transport and urban planners, operators and stakeholders&rsquo; representatives to promote inclusive and equitable mobility solutions for all. Finally, we suggest follow up research and innovation, as well as recommendations for its uptake and utilisation in the pursuit of European accessibility standards and requirements for products and services in the mobility sector.&nbsp;</p>

opencc-by-4.0Oct 2022View details →
dryad36/100

Data for "Boosting propagule transport models with individual-specific data from mobile apps"

<ol> <li>Management of invasive species and pathogens requires information about the traffic of potential vectors. Such information is often taken from vector traffic models fitted to survey data. Here, user-specific data collected via mobile apps offer new opportunities to obtain more accurate estimates and to analyze how vectors' individual preferences affect propagule flows. However, data voluntarily reported via apps may lack some trip records, adding a significant layer of uncertainty. We show how the benefits of app-based data can be exploited despite this drawback.</li> <li>Based on data collected via an angler app, we built a stochastic model for angler traffic in the Canadian province of Alberta. There, anglers facilitate the spread of whirling disease, a parasite-induced fish disease. The model is temporally and spatially explicit and accounts for individual preferences and repeating behaviour of anglers, helping to address the problem of missing trip records.</li> <li>We obtained estimates of angler traffic between all subbasins in Alberta. The model's accuracy exceeds that of direct empirical estimates even when fewer data were used to fit the model. The results indicate that anglers' local preferences and their tendency to revisit previous destinations reduce the number of long inter-waterbody trips potentially dispersing whirling disease. According to our model, anglers revisit their previous destination in 64% of their trips, making these trips irrelevant for the spread of whirling disease. Furthermore, 54% of fishing trips end in individual-specific spatially contained areas with mean radius of 54.7 km. Finally, although the fraction of trips that anglers report was unknown, we were able to estimate the total yearly number of fishing trips in Alberta, matching an independent empirical estimate.</li> <li>We make two major contributions: (1) we provide a model that uses mobile app data to boost the mechanistic accuracy of classic propagule transport models, and (2) we demonstrate the importance of individual-specific behaviour of vectors for propagule transport. Ignoring vectors' local preferences and their tendency to revisit previous destinations can lead to significant overestimates of vector traffic and biased estimates of propagule flows. This has clear implications for the management of invasive species and animal diseases.</li> </ol>

opencc-zeroNov 2022View details →
zenodo36/100

An Improved Tandem Neural Network Architecture for Inverse Modeling of Multicomponent Reactive Transport in Porous Media

<p>This data includes the training and testing dataset for DNN design and the observation data of synthetic example for validation.&nbsp;</p> <p>The code of TNNA-AUS inversion method.</p>

opencc-by-4.0Jun 2021View details →
zenodo36/100

Grey model analysis of vehicle population, road transport energy consumption, and vehicular emissions

<p>The files provide&nbsp;additional information to the paper &ldquo;Grey&nbsp;model analysis of vehicle population, road transport energy consumption, and vehicular emissions&quot;. The supporting data file&nbsp;contains excel sheets of data used in the analysis, and the supporting information file provides some assumptions, background information and other results not included in the paper</p>

opencc-by-4.0Nov 2022View details →
dryad36/100

Molecular dynamics simulations in: High-resolution structures with bound Mn2+ and Cd2+ map the metal import pathway in an Nramp transporter

<p>Transporters of the Nramp (Natural resistance-associated macrophage protein) family import divalent transition metal ions into cells of most organisms. By supporting metal homeostasis, Nramps prevent disorders related to metal insufficiency or overload. Previous studies revealed that Nramps take on a LeuT fold and identified the metal-binding site. We present high- resolution structures of <em>Deinococcus radiodurans</em> Nramp in three stable conformations of the transport cycle revealing that global conformational changes are supported by distinct coordination geometries of its physiological substrate, Mn2+, across conformations and conserved networks of polar residues lining the inner and outer gates. A Cd2+-bound structure highlights differences in coordination geometry for Mn2+ and Cd2+. Measurements of metal binding using isothermal titration calorimetry indicate that the thermodynamic landscape for binding and transporting physiological metals like Mn2+ is different and more robust to perturbation than for transporting the toxic Cd2+ metal.</p>

opencc-zeroNov 2022View details →
zenodo36/100

Pump it up: bioelectric stimulation controls tissue hydrostatic pressure and water transport via electro-inflation

<p>The uploaded files include 1) subset of raw microscopy image data from all experiments, 2) MATLAB data used to generate plots and graphs included in the manuscript,&nbsp;3)&nbsp;representative raw videos per experimental condition and 4) GraphPad file containing raw data for plots and graphs included in the manuscript.&nbsp;</p>

opencc-by-4.0Nov 2022View details →
zenodo36/100

Data repository for "Phonon-mediated room-temperature quantum Hall transport in graphene"

<p>This is the data&nbsp;presented in the manuscript &quot;Phonon-mediated room-temperature quantum Hall transport in graphene&quot;,&nbsp;Nat Commun 14, 318 (2023). https://doi.org/10.1038/s41467-023-35986-3</p>

opencc-by-4.0Nov 2022View details →
zenodo36/100

Data for "Ceramide-1-phosphate transfer protein enhances lipid transport by disrupting hydrophobic lipid–membrane contacts"

<p>Data for&nbsp;&quot;Ceramide-1-phosphate transfer protein enhances lipid transport by disrupting hydrophobic lipid&ndash;membrane contacts&quot; by Julia R Rogers and Phillip L Geissler (<a href="https://doi.org/10.1371/journal.pcbi.1010992">Rogers, J. R.; Geissler, P. L.&nbsp;<em>PLoS Comput. Biol.</em>&nbsp;<strong>2023</strong>,&nbsp;<em>19</em>, e1010992</a>;&nbsp;bioRxiv DOI: https://doi.org/10.1101/2022.09.10.507427).&nbsp;All input coordinates, topologies, and parameter files in addition to equilibrium simulation trajectories and analysis results&nbsp;are provided.</p>

opencc-by-4.0Sep 2022View details →
zenodo36/100

Characterization and cellular localization of a SFT-2/Got-1- like transporter protein of Leishmania infantum

<p><strong>Abstract</strong>: Background: Visceral leishmaniasis affects approximately 12 million people worldwide. Current existing drugs cause several side effects and resistance, the identification of new therapeutic targets for the development of new drugs is necessary. The vesicular trafficking in the parasite flagellar pocket is essential for parasite survival and proliferation, but little is known about the proteins involved in the endocytic/secretory pathways. In this work, we are describing the characterization of a transporter cargo protein SFT-2/Got-1 like in <em>Leishmania infantum</em>. <strong>Material and Methods:</strong> Using bioinformatics tools, the putative Got-1 protein A4HSK3 was characterized structurally and phylogenetically. Molecular biology was used to clone and express the protein and confocal fluorescence to determine its subcellular localization. <strong>Results:</strong> The Got-1 like protein presents four alpha helix TM conserved domains (aa38-aa147) characteristics of the Got-1/SFT-2 family proteins and an important PEN-2 conserved motif LGDYXXF located in the extracellular loop. Confocal microscopy suggests that Got-1/SFT-2 like is localized in the flagellar pocket, and is partially co-localized with the <em>L. infantum</em> presenilin-like protein. Phylogenetically, the <em>Leishmania sp</em> Got-1 like is contained in a subgroup of proteins clearly detached from the other Trypanosomatidae, such as <em>T. cruzi</em> and <em>T. brucei</em>. <strong>Conclusions:</strong> Our data show the presence of an important transported proteins, and its colocalizatoin with the presenilin aspartyl protease in the flagelar pocket of the <em>L. infantum</em> open new perspectives to identify novel targets, which can be an alternative therapeutic strategy against leishmaniasis</p>

opencc-by-4.0Dec 2022View details →
zenodo36/100

PAsCAL WP6 Pilot 4 Shared Connected Transport Video

<p>A summary video documenting and introducing the activities of pilot 4 of the PAsCAL real-world pilots. The part of the pilot which is documented in the video took place at the Contern Business Centre&nbsp;in Contern,&nbsp;Luxembourg between April 2022 and June 2022. The participants tested an autonomous bus shuttle in the area, which connects the Business Centre to a nearby train station. The purpose of the pilot was to evaluate the adequacy of the shuttle bus to bridge the last-mile gap of a commuting trip.</p>

opencc-by-4.0Nov 2022View details →

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Allen Brain Atlas

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

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

Annotated Behaviour and Observability Dataset (ABODe)

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

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

DANDI Archive for NWB datasets

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

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

International Brain Laboratory public data

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

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

OpenNeuro

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

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

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