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2,271 results for “transporte”
Suppl. figures of pelagic shorefish larvae captured over the Galapagos Rift for Victor, B.C. (2023) Rapid long-distance multispecies transport of shorefish larvae to the oceanic tropical eastern Pacific, revealed by DNA-barcodes and otolith aging of larvae captured over the Galapagos Rift
<p>Supplementary figures of pelagic shorefish larvae captured over the Galapagos Rift</p> <p>Victor, B.C. (2023)</p> <p><strong>Rapid long-distance multispecies transport of shorefish larvae to the oceanic tropical eastern Pacific, revealed by DNA-barcodes and otolith aging of larvae captured over the Galapagos Rift</strong></p> <p>in volume: Early Life History and Biology of Marine Fishes: Research inspired by the work of H Geoffrey Moser</p> <p>Figure S1 Gobioid fish larvae captured over the Galapagos Rift.</p> <p>Figure S2 Labrid fish larvae captured over the Galapagos Rift.</p> <p>Figure S2. Pomacentrid fish larvae captured over the Galapagos Rift.</p> <p>Figure S4 Lythrypnus sp 5.4 mm SL fish larva captured over the Galapagos Rift.</p> <p>Figure S4a Lythrypnus sp 5.4 mm SL fish larva (head) captured over the Galapagos Rift.</p> <p>Figure S5 Abudefduf troschelii 7.3 mm SL fish larva captured over the Galapagos Rift.</p> <p>Figure S6 Chaetodon humeralis 8.9 mm SL fish larva captured over the Galapagos Rift.</p> <p>Figure S7 Gerreidae 10.6 mm SL fish larva captured over the Galapagos Rift.</p> <p>Figure S8 Neoniphon suborbitalis 6.8 mm SL fish larva captured over the Galapagos Rift.</p> <p>Figure S9 Ophioblennius steindachneri 10.6 mm SL fish larva captured over the Galapagos Rift.</p> <p>Figure S9a Ophioblennius steindachneri 10.6 mm SL fish larva (head) captured over the Galapagos Rift.</p> <p>Figure S9b Ophioblennius steindachneri 10.6 mm SL fish larva (ventral) captured over the Galapagos Rift.</p> <p>Figure Sup10 Sphoeroides lobatus 12.0 mm SL fish larva captured over the Galapagos Rift.</p>
Discrete and continuum simulations of bedload transport with kinetic theory of granular flow
<p>This depository contains the simulation results used in the publication Chassagne, R., Chauchat J. & Cyrille B. (2023). A frictional-collisional model for bedload transport based on kinetic theory of granular flows: discrete and continuum approaches.</p> <p>It contains DEM results as well as the results of the continuum model. The results are written in text files containing headers with name and units of the variables.</p>
Dataset: The implications of microalgae biofuel production for the heavy-duty transport sector under planetary boundary perspective
<p><strong>Dataset of the article: </strong><em>"The implications of microalgae biofuel production for the heavy-duty transport sector under planetary boundary perspective"</em></p> <ul> <li>Selected results of the analysis are included in <strong>Microalgae biofuel results.zip</strong></li> </ul> <p><strong>Summary:</strong></p> <p>In this contribution, we study the extent to which 68 scenarios for microalgae biofuels could help the heavy-duty transport sector operate within planetary boundaries. The proposed scenarios are built considering a range of alternative configurations based on three types of fuel production processes (i.e., transesterification, hydrodeoxygenation and hydrothermal liquefaction), different carbon sources (such us a natural gas power plants and direct air capture), byproduct treatments, and two electricity mixes. Our results reveal that microalgae biofuels could significantly reduce the environmental and human health impacts of the business-as-usual (fossil-based) heavy-duty transport sector. Moreover, relative to standard biofuels that show large land-use requirements, we find that microalgae biofuels also decrease the damage on biosphere integrity substantially. Notably, pathways resorting to hydrodeoxygenation of microalgae oil and direct air capture and carbon storage could reduce the current impact induced globally on climate change by the heavy transport by 77%, while attaining six-fold reductions in biosphere integrity impacts, both relative to conventional biofuels. Simultaneously, microalgae-based biofuels can achieve impacts six times lower than conventional biofuels in biosphere integrity and 45% lower in human health.</p>
Replication Data for: Proton transport through nanoscale corrugations in two-dimensional crystals
<p>This dataset contains source data for Main Figures from "Proton transport through nanoscale corrugations in two-dimensional crystals, <i>Nature,</i> volume 620, pages 782–786" Data plotted as curves and histograms are provided in .xlsx files. AFM data are provided in both .txt and SPIP-compatible .asc file types. Filenames correspond to the figure labels and plot information as in the publication.</p>
Data example and code used in the publication "Is transport of microplastics different from that of mineral dust? Results from idealized wind tunnel studies"
<p>Background</p> <p>The code labels microspheres and counts them. Further, the code determines which microspheres are independent of microsphere-microsphere collisions by their relative position to the other microspheres in an image. Images were taken with a full-frame visual camera (Sony Alpha 7RII) with a long-distance-microscopy lens (K2 DistaMax).</p> <p>Description of the dataset</p> <ul> <li>image_data_all.zip contains 228 tif-format images taken in a single experiment <ul> <li>the images show borosilicate microspheres with diameters from 63 to 75 µm</li> <li>during the experiment, the microspheres are detached from the substrate and are transported out of the image</li> </ul> </li> <li>functions_particle_labeling.jl contains all necessary functions for particle labeling</li> <li>analysis_protocol.jl is an example, that first determines a color threshold, and then labels all microspheres in all images stored in "image_data_all/substrate_a/image_data_single_experiment"</li> <li>post_processing_visualisation.R is an r-script, that reads the output of analysis_protocol.jl and demonstrates how logistic functions were fitted to the data</li> </ul> <p> </p> <p>We used julia 1.8.5 and R 4.3.0.</p> <p> </p>
Dataset for "Light and Mass Transport Computations Guide the Fabrication of 3D-Structured TiO2 and Au/TiO2 Aerogel Photocatalysts for Efficient Hydrogen Production in the Gas Phase"
<p>This dataset is related to "Light and Mass Transport Computations Guide the Fabrication of 3D-Structured TiO<sub>2</sub> and Au/TiO<sub>2</sub> Aerogel Photocatalysts for Efficient Hydrogen Production in the Gas Phase" published in <em> Chemistry of Materials</em> <strong>2023</strong> <em>35</em> (10), 3849-3858.</p> <p>Each file contains the dataset for the respective Figure.</p> <p><strong>File 'Figure 1': </strong>Optical Photograph and SEM images of a 3D printed TiO<sub>2</sub> aerogel.</p> <p><strong>File 'Figure 2': </strong>The subdirectory <em>'absorbed'</em> contains data for the calculation of the light absorption of unstructured, sc-structured, and fcc-structured aerogels. A more detailed description is presented in the <em>'readme</em>' file. The subdirectory <em>'flux_time_resolved'</em> contains data for the calculation of the time-resolved flux in a fcc-structured aerogel. A more detailed description is presented in the readme file.</p> <p><strong>File 'Figure 3': </strong>Measured and calculated data of the pressure drop of unstructured, sc-structured, and fcc-structured aerogels. Images of the velocity profile. Images of simulated velocity profiles of an sc-structured aerogel without and with a surrounding wall. The simulations were performed in COMSOL.</p> <p><strong>File 'Figure 4': </strong>Data of the hydrogen evolution experiments.</p> <p><strong>File 'Figure SI1 and Table SI1': </strong>Data of nitrogen physisorption experiments. <em>'Figure_SI1-sample-identification'</em> contains a list to assign the dataset to the respective subfigures in Figure SI1. <em>'Table_SI1-sample-identification' </em>contains a list to assign the dataset to the respective entry in Table SI1.</p> <p><strong>File 'Figure SI2': </strong>Data of the hydrogen evolution experiments with a gas stream containing pure water and a water/methanol mixture, respectively.</p> <p><strong>File 'Figure SI3': </strong>Data of the UV cleaning experiment.</p> <p><strong>File 'Figure SI4': </strong>Chromatograms recorded during hydrogen evolution experiments to discuss the formation of side products.</p> <p><strong>File 'Figure SI5':</strong> Data of two consecutive hydrogen evolution experiments.</p> <p><strong>File 'Figure SI6': </strong>Data of the hydrogen evolution experiments for an fcc-structured and sc-structured TiO<sub>2</sub> aerogel of similar light absorption. Image of a simulated velocity profiles for an unstructured aerogel. The simulation were performed in COMSOL.</p> <p><strong>File 'Figure SI7': </strong>Data of an hydrogen evolution experiments of an fcc-structured TiO<sub>2</sub> aerogel for flow rates in a range of 1.25 to 20 mL min<sup>-1</sup>.</p> <p><strong>File 'Figure SI8': </strong>TEM/STEM images including EDX mapping of an Au/TiO<sub>2</sub> aerogel fragment.</p> <p><strong>File 'Figure SI9': </strong>Data of the hydrogen evolution, the irradiance of the LED, and the amount of water and methanol.</p> <p><strong>File 'Figure SI10': </strong>Attenuated total reflection infrared spectra of TiO<sub>2</sub> nanoparticle powder and aerogel after UV cleaning.</p> <p><strong>File 'Figure SI11': </strong>XRD pattern of TiO<sub>2</sub> nanoparticles and a reference of anatase TiO<sub>2</sub>.</p> <p><strong>File 'Figure SI12': </strong>Data of hydrogen evoltion for TiO<sub>2</sub> nanoparticle powders.</p> <p><strong>File 'Figure SI13': </strong>Transmission and reflectance spectra of a TiO<sub>2</sub> aerogel.</p> <p><strong>File 'Figure SI14': </strong>Calculated transmission and reflectance for an optical thickness and a scattering albedo in a range of 0 to 5 and 0 to 1, respectively. The data was calculated by solving the radiative transfer equation, as implemented in the DISORT algorithm. A more detailed description of the calculation and data processing is provided in the <em>'readme'</em> file. The code of the DISORT algorithm is provided in the <em>'DISORT'</em> subdirectory.</p> <p><strong>File 'Figure SI16': </strong>Data of the derived absorption and scattering coefficient.</p> <p><strong>File 'Figure SI17': </strong>Data of the light absorption and the scattering coefficient. The <em>'readme'</em> file contains a description of the data processing for the light absorption dataset.</p>
Longitudinal transport of suspended sediment in the Modaomen Estuary of the Pearl River: effects of river, tide, and mouth bar: Datasets
<p><strong>This dataset supplements the article: Longitudinal transport of suspended sediment in the Modaomen </strong><strong>E</strong><strong>stuary of the Pearl River: effects of river, tide, and mouth bar, submitted to Marine Geology</strong></p> <p>Contact information: Dr. Liu, F., School of Ocean Engineering and Technology, Sun Yat-sen University, Guangzhou, 510275, China.</p> <p>Email: <a href="mailto:liuf53@mail.sysu.edu.cn">liuf53@mail.sysu.edu.cn</a> (Liu, Feng)</p> <p><strong><em>Brief view of the dataset</em></strong></p> <p>Hydrodynamics, suspended sediment concentration and salinity distribution were measured at three fixed stations along the longitudinal direction of the estuary. The stations were located at Guadingjiao (M1), inside the bar (M2), and outside the bar (M3), and sampling was simultaneously conducted at neap tide (NT) from July 31 to August 1 and spring tide (ST) from August 8 to August 9 in 2017. All observation data has been compiled to include data from the surface to the bottom six layers within 26 hours. This directory contains the following datasets.</p> <p><strong>M10731.xlsx: </strong>Current velocity, current direction, salinity and SSC during neap tide at Station M1 </p> <p><strong>M10808.xlsx: </strong>Current velocity, current direction, salinity and SSC during spring tide at Station M1 </p> <p><strong>M20731.xlsx: </strong>Current velocity, current direction, salinity and SSC during neap tide at Station M2</p> <p><strong>M20808.xlsx: </strong>Current velocity, current direction, salinity and SSC during spring tide at Station M2</p> <p><strong>M30731.xlsx: </strong>Current velocity, current direction, salinity and SSC during neap tide at Station M3</p> <p><strong>M30808.xlsx: </strong>Current velocity, current direction, salinity and SSC during spring tide at Station M3</p>
Expression of mgtA encoding a magnesium transporter is activated in the absence of the main Mg2+ transporter CorA in Salmonella
<p><i>Salmonella</i> imports magnesium via three known transporters, the widely conserved CorA transporter and the MgtA and MgtB P-type ATPases. CorA is expressed under various growth conditions whereas the other two magnesium transporters, MgtA and MgtB, are expressed under conditions of magnesium starvation under the positive control of the PhoP-PhoQ regulatory system. <br>Our recent results suggest that production of MgtA, but not that of MgtB, is activated in the absence of the main Mg2+ transporter CorA (Metaane <i>et al </i>2022, 2023 ) <br>This hypothesis was further validated in this study by using transcriptional and translational <i>lacZ </i>fusions in the <i>mgtA </i>and <i>mgtB</i> genes. In addition, our data suggest that regulation of expression of MgtA in the absence of CorA is post-transcriptional . </p><p><strong>This work was supported by the French National Research Agency (ANR-19-CE44-0005-01, PERIOMET project).</strong> </p><p>Metaane S, Monteil V, Ayrault S, Bordier L, Levi-Meyreuis C, Norel F. The stress sigma factor sigmaS/RpoS counteracts Fur repression of genes involved in iron and manganese metabolism and modulates the ionome of <i>Salmonella enterica </i>serovar Typhimurium. PLoS One 2022;17(3):e0265511.</p><p>Metaane S, Monteil V, Douché T, Giai Gianetto Q, Matondo M, Maufrais C, Norel F. Loss of CorA, the primary magnesium transporter of <i>Salmonella, </i>is alleviated by MgtA and PhoP-dependent compensatory mechanisms. PLoS One 2023;18(9):e0291736.</p><p> </p>
Transport and fate of ureolytic Sporosarcina pasteurii in saturated sand columns: experiments and modelling
<p>Dataset for the manuscript - "<strong>Transport and fate of </strong><strong>ureolytic </strong><em><strong>Sporosarcina </strong></em><strong><em>pasteurii</em></strong> <strong>in saturated sand columns: experiments and modelling</strong>".</p>
Transport and fate of ureolytic Sporosarcina pasteurii in saturated sand columns: experiments and modelling
<p>Updated dataset for the manuscript - "<strong>Transport and fate of </strong><strong>ureolytic </strong><em><strong>Sporosarcina </strong></em><strong><em>pasteurii</em></strong> <strong>in saturated sand columns: experiments and modelling</strong>".</p>
Example meshes for 'Human brain solute transport quantified by glymphatic MRI-informed biophysics during sleep and sleep deprivation'
<p>Example meshes for 'Human brain solute transport quantified by glymphatic MRI-informed biophysics during sleep and sleep deprivation'</p> <p>The meshes contain DTI. To read the mesh to FEniCS, see e.g., <a href="https://github.com/bzapf/braintransport/blob/24ba4e37a3d6fadb37c249ca7f717a7355f48f30/optimal_velocity/postprocess_phi.py#L12">here </a>.</p> <p>Find the simulation codes for the manuscript here:</p> <p><a href="https://github.com/bzapf/braintransport">https://github.com/bzapf/braintransport</a></p>
Comprehensive Set of Structural Comparisons of Transport Domains from Elevator Transporters
<p>This upload is a supplementary dataset for the following preprint: <a href="https://doi.org/10.1101/2023.06.14.544989">N. Trebesch and E. Tajkhorshid. "Structure Reveals Homology in Elevator Transporters." <em>bioRxiv</em>. (2023). DOI: 10.1101/2023.06.14.544989.</a> Please see the preprint for the methods, analysis, and discussion associated with this dataset.</p>
pH-dependence of the Plasmodium falciparum chloroquine resistance transporter is linked to the transport cycle
<p>This file contains the original data underpinning the following study:</p> <p>The chloroquine resistance transporter, PfCRT, of the human malaria parasite <em>Plasmodium falciparum </em>displays a strong pH-sensitivity in the weakly acidic range. Consequently, PfCRT operates only at 60% of its maximal drug transport activity at the pH of 5.2 of the digestive vacuole, a proteolytic organelle from which PfCRT expels drugs that interfere with heme detoxification. Despite structural information, the molecular mechanism by which PfCRT senses pH changes has remained unclear. Here we show, by alanine-scanning mutagenesis and functional transport studies, that E207 plays a critical role in pH sensing. The E207A mutant displayed a pH-insensitive transport activity, while preserving drug substrate specificity. Replacement of E207 by Asp or His, but not by any other proteinogenic amino acid, reconstituted pH sensitivity. Molecular dynamics simulations and kinetics analyses suggest an allosteric binding model in which PfCRT can simultaneously accept both protons and chloroquine in a partial non-competitive manner, with increasing proton concentrations reducing the drug transport activity. Molecular dynamics simulations of the open-to-vacuole, the occluded and the open-to-cytosol conformation of PfCRT revealed a drastic relocation of E207 from a peripheral to an engaged location during the transport cycle, resulting in E207 forming a salt bridge with residue K80. We propose that the ionized carboxyl group of E207 acts as a hydrogen acceptor for interactions accelerating progression through the transport cycle and that the pH sensing is a by-product of this function.</p>
Dataset accompanying the publication "Transport and retention of micro-Polystyrene in coarse riverbed sediments: Effects of flow velocity, particle and sediment sizes"
<p>The dataset in this repository is accompanying the publication "Transport and retention of micro-Polystyrene in coarse riverbed sediments: Effects of flow velocity, particle and sediment sizes" (in Microplastics and Nanoplastics, 2023, submitted 09.06.2023)</p> <p>The repository contains the raw image files of all sample filters which were scanned using the fluorescence imaging system ChemiDoc and used to analyse the infiltration behaviour of microplastic polystyrene in the manuscript. In addition, we provide the resulting data from the particle identification and geometric analysis which were derived from the raw data using ImageJ in tabular excel format. The data is structured in folders following the naming of the columns from the manuscript.</p>
Model simulation data used in "The global impact of the transport sectors on the atmospheric aerosol and the resulting climate effects under the Shared Socioeconomic Pathways (SSPs)" (Righi et al., Earth Syst. Dynam., 2023)
<p>This dataset contains the output of the EMAC global model simulations analysed and discussed in Righi et al. (<i>Earth Syst. Dynam.</i>, 2023). For details see the README.md file.</p>
MERICS Podcast: China's advances in rail, sea and air transportation, with Alexander Brown and Gregor Sebastian
<p>China has extended its High-Speed Rail network from about 9.000 to 42.000 km of tracks with a fleet of Chinese made trains running on it. The first fully domestically engineered passenger aircraft C919 has started its commercial service and on June 6, the first domestically built large cruise ship, has left Shanghai for sea trials. China is undoubtedly making rapid progress in air, sea and rail transportation.</p> <p>What are China’s aims and what challenges does it face on the way? And what does this mean for European industries? To answer these questions, <strong>Alexander Brown</strong> and <strong>Gregor Sebastian</strong>, analysts in the economics team at MERICS, join <strong>Johannes Heller-John</strong> for a conversation.</p> <p>This podcast episode is part of the “Dealing with a Resurgent China” (DWARC) project, which has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement number 101061700.</p> <p>Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.</p>
Dense vegetation hinders sediment transport towards saltmarsh interiors - Supporting data and source code (Part I: Pre-processing)
<p>This is Part I of the supporting data and source code for the paper entitled "Dense vegetation hinders sediment transport towards saltmarsh interiors", submitted to <em>Limnology and Oceanography Letters.</em> It contains all input and output files to generate the simulation grids.</p>
Comparing travel behavior and opportunities to increase transportation sustainability in small cities, towns, and rural communities
<p>The vast majority of travel behavior and sustainable transportation research has focused on urban areas. A rural perspective is lacking. In this study, we aim to dive deeper into understanding how people travel and their perceptions and opinions about various components of travel in a majority rural state. By speaking directly with Vermonters through in-person interviews, we obtain uniquely personal points of view and analyze them for commonalities and differences between urban, suburban, and rural Vermonters. We ask questions on day-to-day challenges of traveling, suggestions for reducing greenhouse gas (GHG) emissions, responses to fuel prices, and opinions on electric vehicles. Some of our key findings include that rural areas struggle most with traveling long distances to reach services, urban areas are more concerned with traffic, and opinions on electric vehicle (EV) ownership are consistent across the state, with people being likely to consider owning an EV if costs were to decrease. Our interviews identify additional questions that should be evaluated further to help states develop practical and effective policies aimed at reducing GHG emissions in rural areas. We also recommend further in-depth survey research to provide a more complete picture of the potential to shift travel behavior, particularly in rural areas. This research adds to the body of knowledge in a historically understudied population, enabling the research community to better understand and work more closely with small and rural communities to address climate change and achieve deeper GHG emission reductions.</p>
TranEpiSim: Urban Transportation Epidemic Simulator
<p>This data set is to replicate a case study of disease transmission through micromobility systems and a large synthetic contact network in Cook County.</p>
Dataset: Cyclones Modulate the Control of the North Atlantic Oscillation on Transports into the Barents Sea
<p>This repository contains the data presented in '<strong>Heukamp et al., 2023 - Cyclones Modulate the Control of the North Atlantic Oscillation on Transports into the Barents Sea'</strong>.</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.