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2,271 results for “transporte”
Mutation in glutamate transporter homologue GltTk provides insights into pathologic mechanism of episodic ataxia 6
<p>Dataset to reproduce MD simulations described in "New insights into a mutation leading to episodic ataxia 6"</p>
Advective-diffusive transport in fractured media
<p>Input and output files for DFN simulations in DFN.Lab</p> <p>Scritps for reading the results </p> <p>Scritps for figuures representing the theoretical behavior. </p>
The acclimatory response of the mayfly Neocloeon triangulifer to dilute conditions is linked to the plasticity of sodium transport
<p><span>Relative to a growing body of knowledge about the negative consequences of freshwater salinization, little is known about how aquatic insects respond to progressively ion poor conditions. Here, we examined life-history and physiological acclimation in <em>N. triangulifer</em> by rearing larvae from 1 day post egg hatch to adulthood across a gradient of decreasing salinities (15, 8, 4, 2 and 1 mg L-1 Na). We found no significant changes in survival, growth, development time and whole-body Na content across these treatments. Radiotracer data revealed that larvae acclimated to their dilute exposures by increasing their rates of Na uptake and were able to maintain a relatively narrow range of uptake rates (± SEM) of 38.5 ± 4.2 µg Na g-1 hr-1 across all treatments. In contrast, the Na uptake rates observed in naïve larvae were much more concentration dependent. This acclimatory response is partially explained by differences in ionocyte counts on the gills of larvae reared under different salinities. Acclimated larvae were surprisingly less retentive of their sodium composition when subjected to deionized water challenge. By contrasting our findings with a previous N. triangulifer salinity acclimation study, we show a physiological affinity for dilute conditions in this emerging mayfly model.</span></p>
Data for "Dependence of Convective Cloud Properties and Their Transport on Cloud Fraction and GCM Resolution Diagnosed from a Cloud-Resolving Model Simulation"
<p>The datasets for the manuscript "Dependence of Convective Cloud Properties and Their Transport on Cloud Fraction and GCM Resolution Diagnosed from a Cloud-Resolving Model Simulation".</p> <p>model: WRF3.1.1</p> <p>location: Southern Great Plains</p> <p>time: from 2100 UTC 23 May to 0600 UTC 24 May</p> <p>time interval: 6 minutes</p> <p>domain size: 512km x 512km</p> <p>vertical layer: 500hpa</p> <p>variables: P, PB, PH, PHB, U, V, W, T, QCLOUD, QICE, QVAPOR</p> <p>calculated data: mse, up_only(only consider updraft), up_down(consider both updrafts and downdrafts)</p> <p> </p>
Factors influencing halide vacancy transport in perovskite solar cells
<p>Python code will generate high grid structures in CsPbX<sub>3</sub> (X=Cl, Br, I) and a migration path. It will collect the data from a customized number of grids and calculate the migration barrier. Various factors, such as defect charge states or pressure, can be applied to high grid structures to consider device-like conditions. Examples of CsPbI<sub>3</sub> high grid structures are named by {#of grids}_{grid point x}_{grid point y}.</p>
Dataset for the manuscript of the "Permeability evolution of methane and water vapor when simultaneously transporting in shale"
<p>Dataset for the manuscript of the "Permeability evolution of methane and water vapor when simultaneously transporting in shale"</p>
Formation and transport of fluid mud triggered by typhoon events in front of the subaqueous Changjiang Delta
<p>1_SSC_calibration.xlsx is used for producing figure 2.</p> <p>2_Wind_Wave.xlsx is used for producing figure 3.</p> <p>3_SSC_contour_and_conducitivity.xlsx is used for producing figure 4.</p> <p>4_SSC_Current_Profile.xlsx is used for producing figure 5.</p> <p>5_Grain_Size.xlsx is used for producing figure 6.</p> <p>6_Current_And_Fluid_Mud_Dynamics.xlsx is used for producing figures 1, 4 and 7 and tables 1 and 2.</p> <p>7_Sediment_Flux.xlsx is used for producing figure 8.</p>
First Lidar Profiling of Meteoric Ca+ Ion Transport from ~80 to 300 km in the Midlatitude Nighttime Ionosphere
<p>The attached data is used for the paper.</p>
Exploring research trends in air-rail passenger transport relationships through a content-based analysis
<p>Data set for the journal publication title "Exploring research trends in air-rail passenger transport relationships through a content-based analysis"</p>
Maritime Transportation - Deep-Sea Shipping Instances
<p>Each instance has a filename "deep_n_i.dat", in which deep indicates that the trips are international (deep sea shipping), n is the number of ports (including the depot), and i is the index of the instance in the same group.</p> <p>Line 1 - [# of customer, vehicle/vessel capacity, speed lower limit, speed upper limit]<br> Line 2 - demand at each port<br> Line 3 - lower time window bound for each port<br> Line 4 - upper time window bound for each port<br> Line 5 - service time at each port<br> From line 6 - distance matrix</p>
A Multiscale Simulation Platform for Connected and Automated Transportation Systems
<p>The uploaded set contains real-world vehicle, traffic, demand data, simulation network and simulation testing data.</p>
Observation of Reactive Transport in Soil Columns with Positron Emission Tomography (GeoPET)
<p>Here we investigate reactive transport in soils with GeoPET as quantitative spatiotemporal molecular imaging method. As PET directly yields tracer concentrations, the data can be utilised for parameterization and validation of reactive transport computer models.</p> <p>Artificial soil columns (sand/silt/clay/Goethit, length 90 mm, diameter 40 mm) have been prepared under CO<sub>2</sub>-atmosphere. Four different experiments on one and the same soil column are shown as motion pictures from the GeoPET-observations:</p> <p>1) Injection of water, labelled with [<sup>18</sup>F]KF, into the CO<sub>2</sub>-saturated column</p> <p>2) Conservative transport of [<sup>18</sup>F]KF solution through the water-saturated column</p> <p>3) Injection of the reactive tracer [<sup>64</sup>Cu]Cu(MCPA)<sub>2</sub> into the unconditioned water-saturated column</p> <p>4) Injection of the reactive tracer [<sup>64</sup>Cu]Cu(MCPA)<sub>2</sub> into the preconditioned column.</p> <p> </p> <p>The study was supported within the framework of the priority program “Biogeochemical Interfaces in Soil” by the German Science Foundation (DFG SPP 1315: KE508/19 and LI872/5).</p> <p> </p> <p>References:</p> <p>Kulenkampff, J., Zakhnini, A., Gründig, M., and Lippmann-Pipke, J.: Quantitative experimental monitoring of molecular diffusion in clay with positron emission tomography, Solid Earth, <strong>7</strong>, 1207-1215, 2016.</p> <p>Kulenkampff, J., Gründig, M., Zakhnini, A., Gerasch, R., and Lippmann-Pipke, J.: Process tomography of diffusion, using PET, to evaluate anisotropy and heterogeneity, Clay Miner., <strong>50</strong>, 369–375, 2015.</p> <p>Kulenkampff, J., Gründig, M., Zakhnini, A., and Lippmann-Pipke, J.: Geoscientific process monitoring with positron emission tomography (GeoPET), Solid Earth, <strong>7</strong>, 1217–1231, 2016.</p> <p>Zakhnini, A., Kulenkampff, J., Sauerzapf, S., Pietrzyk, U., and Lippmann-Pipke, J.: Monte Carlo simulations of GeoPET experiments: 3D images of tracer distributions (<sup>18</sup>F, <sup>124</sup>I and <sup>58</sup>Co) in Opalinus Clay, anhydrite and quartz, Comput. Geosci., 57, 183–196, 2013.</p> <p>Lippmann-Pipke, J., Gerasch, R., Schikora, J., and Kulenkampff, J.: Benchmarking PET for geoscientific applications: 3D quantitative diffusion coefficient estimation in clay rock, Comput. Geosci. <strong>101</strong>, 21-27, 2017.</p> <p>Stoll, M., Kulenkampff, J., Gründig, M., Lippmann-Pipke, J., and Kersten, M.: Molecular positron emission tomography imaging of Cu mobility enhanced by the herbicide 4-chloro-2-methylphenoxy-acetic acid in a soil column, <em>submitted</em></p> <p>Lippold, H., Karimzadeh L., Kulenkampff, J. Wissmeier, L., Stuhlfauth, C., Stoll, M., Lippmann-Pipke, L.: Effect of pH on the mobility of the herbicide MCPA in a goethite-sand matrix: 1D and 2D reactive transport modelling, <em>to be submitted</em></p> <p> </p>
Supplementary material 1 from: Niemi M, Matala J, Melin M, Eronen V, Järvenpää H (2015) Traffic mortality of four ungulate species in southern Finland. In: Seiler A, Helldin J-O (Eds) Proceedings of IENE 2014 International Conference on Ecology and Transportation, Malmö, Sweden. Nature Conservation 11: 13–28. https://doi.org/10.3897/natureconservation.11.4416
Annual trends in population size and collisions: Explanation note: Annual trends in population size, harvest, and collisions.
Supplementary material 2 from: Niemi M, Matala J, Melin M, Eronen V, Järvenpää H (2015) Traffic mortality of four ungulate species in southern Finland. In: Seiler A, Helldin J-O (Eds) Proceedings of IENE 2014 International Conference on Ecology and Transportation, Malmö, Sweden. Nature Conservation 11: 13–28. https://doi.org/10.3897/natureconservation.11.4416
Contingency tables used in the analysis of collision and traffic mortality rates: Explanation note: Contingency tables.
Dataset for "Investigation of convective transport in the gas diffusion layer used in polymer electrolyte fuel cell"
<p>Dataset to all the figures in the paper (including Supplementary Material):</p> <p>Investigation of convective transport in the gas diffusion layer used in polymer electrolyte fuel cell</p> <p>Beruski, O., Lopes, T., Kucernak, A. R., Perez, J.</p> <p>Phys. Rev. Fluids, 2, 103501, 2017.</p> <p> </p>
Discontinuous Galerkin spatial discretisation of the neutron transport equation with pyramid finite elements and a discrete ordinate (SN) angular approximation.
<p>In accordance with EPSRC funding requirements this folder contains all raw data relevant to the named paper: </p> <p>Discontinuous Galerkin spatial discretisation of the neutron transport equation with pyramid finite elements and a discrete ordinate (SN) angular approximation.</p> <p><br> Journal: Annals of Nuclear Energy</p> <p> </p>
Transport and distribution of sodium ions in Mercury's magnetosphere: results from multi-fluid MHD simulations
<p>This dataset contains VTK files of the four simulations that are presented in the paper<em> </em><a href="https://essopenarchive.org/doi/full/10.22541/essoar.171629607.76912814/v1">Transport and distribution of sodium ions in Mercury’s magnetosphere: results from multi-fluid MHD simulations</a> .</p> <p>The physical parameters for each of the simulations are summarized below:</p> <div> <div>Sim-1: IMF = [0,0,-8.5] nT, V_sw = [-400,0,0] km/s</div> <div>Sim-2: IMF = [0,0,-8.5] nT, V_sw = [-400,0,0] km/s</div> <div>Sim-3: IMF = [0,0,-8.5] nT, V_sw = [-400,0,0] km/s</div> <div>Sim-4: IMF = [-15.2,8.4,-8.5] nT, V_sw = [-400,50,0] km/s</div> <div> <div> </div> <div>The Hall term is switched off in sim-2, but switched on in the rest of the simulations. The sodium source is used in all the simulations except for sim-3. In all the simulations, the solar wind density is 40 amu/cc with a temperature of 7.5 eV. We refer the readers to the aforementioned paper for more details.</div> </div> </div> <p>These VTK files can be opened with Paraview.</p>
Scripts for theory figures in: Spatial Correlations Drive Long-Range Transport and Trapping of Excitons in Single H-Aggregates: Experiment and Theory
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Transportation Engineering Research
<p>Passenger data such as real-time origin-destination (OD) flows and waiting times are central to planning public transportation services and improving visitor experience. This project explored the use of Internet of Things (IoT) Technology to infer transit ridership and waiting time at bus stops. Specifically, this study explored the use of Raspberry Pi computers, which are small and inexpensive sets of hardware, to scan the Wi-Fi networks of passengers’ smartphones. The process was used to infer passenger counts and obtain information on passenger trajectories based on Global Positioning System (GPS) data. The research was conducted as a case study of the Streamline Bus System in Bozeman, Montana. To evaluate the reliability of the data collected with the Raspberry Pi computers, the study conducted technology-based estimation of ridership, OD flows, wait time, and travel time for a comparison with ground truth data (passenger surveys, manual data counts, and bus travel times). </p> <p>This study introduced the use of a wireless Wi-Fi scanning device for transit data collection, called a Smart Station. It combines an innovative set of hardware and software to create a non-intrusive and passive data collection mechanism. Through the field testing and comparison evaluation with ground truth data, the Smart Station produced accurate estimates of ridership, origin-destination characteristics, wait times, and travel times. </p> <p>Ridership data has traditionally been collected through a combination of manual surveys and Automatic Passenger Counter (APC) systems, which can be time-consuming and expensive, with limited capabilities to produce real-time data. The Smart Station shows promise as an accurate and cost-effective alternative. The advantages of using Smart Station over traditional data collection methods include the following: (1) Wireless, automated data collection and retrieval, (2) Real-time observation of passenger behavior, (3) Negligible maintenance after programming and installing the hardware, (4) Low costs of hardware, software, and installation, and (5) Simple and short programming and installation time. If further validated through additional research and development, the device could help transit systems facilitate data collection for route optimization, trip planning tools, and traveler information systems. </p>
Linear Transport (only datapoints)
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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.