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2,271 results for “transporte”
Source Data for figures in "Emergence of steady quantum transport in a superconducting processor"
<p>Experimental and numerical data for figures in "Emergence of steady quantum transport in a superconducting processor".</p>
Constellation analysis of automated local public transport shuttles in the north western development area of Berlin
<h2><strong><span>Konstellationsanalyse: Autonome ÖPNV-Shuttles im Entwicklungsband Nordwest </span></strong></h2> <p>Das Dokument beinhalten stellt eine deutschsprachige Ergebnisdokumentation einer Konstellationsanalyse aus dem Projekt „NOWEL4 – Berliner NordWestraum Level 4" dar . Die Konstellationsanalyse ist ein Brückenkonzept für inter- und transdisziplinäre Zusammenarbeit, das u.a. in der Nachhaltigkeits- und Technikforschung eingesetzt werden kann. Die Ergebnisse zeigen eine gegenwärtige Konstellation und eine Zielkonstellation der Einbindung autonomer Shuttles in den ÖPNV im Berliner Entwicklungsband NordWest. </p> <h2> </h2> <p> </p>
Phase shift in glucose transportation
<p>Dataset of phase shift detection in glucose transportation</p>
TEFNET24: Reference Packet Optical Network Topology for Edge to Core Transport [Invited]
<p>In this paper, we introduce TEFNET24, a reference multi-layer hierarchical network topology that spans from access to core networks, specifically designed to meet the demands of beyond-5G and and prepared for next-generation 6G communication systems. This topology, inspired by the actual network deployments of Telefónica in medium-sized countries in Europe and America, integrates both IP and optical (DWDM) layers to provide a comprehensive framework for network design, optimization, and analysis. Our primary contribution is the development of an open-source benchmarking network, accessible to both researchers and industry professionals. This resource aims to facilitate the study and advancement of integrated IP and optical networks, allowing researchers to address key challenges such as traffic aggregation, latency reduction, cost efficiency, and support for advanced applications. We provide guidelines for utilizing this benchmark network, enabling users to evaluate and enhance their solutions for AI-driven network management, ultra-reliable low-latency communication, enhanced mobile broadband, and massive machine-type communication. By sharing this detailed and practical benchmarking network, we seek to foster innovation and collaboration within the optical network community, driving forward the capabilities and performance of future communication networks. </p>
Data used in paper entitled "Symplecticity of the GORILLA guiding-center tracer and its implications for edge transport modeling"
Open the record for dataset details and reuse information.
Generation, Emission, Transportation, and Deposition of Aeolian Dust from Loess Deposits in the Southern China
<p>Datasets support the paper "Generation, Emission, Transportation, and Deposition of Aeolian Dust from Loess Deposits in the Southern China".</p>
Data related to "Near-bed sediment transport during offshore bar migration in large-scale experiments"
<p>Abstract: </p> <p>This paper presents novel insights into hydrodynamics and sediment fluxes in large-scale laboratory experiments with bi-chromatic wave groups on a relatively steep initial slope (1:15). An Acoustic Concentration and Velocity Profiler provided detailed information of velocity and sand concentration near the bed from shoaling up to the outer breaking zone including suspended sediment and sheet flow transport. The morphological evolution was characterized by offshore migration of the outer breaker bar. Decomposition of the total net transport revealed a balance of onshore-directed, short wave-related and offshore-directed, current-related net transport. The short wave-related transport mainly occurred as bedload over small vertical extents. It was linked to characteristic intrawave sheet flow layer expansions during short wave crests. The current-related transport rate featured lower maximum flux magnitudes but occurred over larger vertical extents. As a result, it was larger than the short wave-related transport rate in all but one cross-shore position, driving the bar's offshore migration. Net flux magnitudes of the infragravity component were comparatively low but played a non-negligible role for total net transport rate in certain cross-shore positions. Net infragravity flux profiles sometimes featured opposing directions over the vertical. The fluxes were linked to a standing infragravity wave pattern and to the correlation of the short wave envelope, controlling suspension, with the infragravity wave velocity.</p> <p>About the data:</p> <p>The data on beach profile (from mechanical profiler), velocity (from ACVP and ADV), sand concentration (from ACVP and OBS) and water surface elevation (from RWG, AWG and PT) measurements is given in .mat (MATLAB) files.</p> <p>The folder “Beach Profiles” contains the measurements from the mechanical profiler before and after each test. To save time, only the morphologically active section of the profiles was measured. Additionally, the folder contains the initial profiles at the start of a sequence (after application of the benchmark waves). Here the full profile was measured.</p> <p>The structure “MobFrame” contains the absolute cross-shore position of the mobile frame (from which detailed measurements were taken) in the considered tests.</p> <p>The folder “ACVP” contains structures with ensemble-averaged velocity and concentration measurements in vertical reference to the undisturbed bed level or a few bins below it (zeta0-coordinate system) sampled at 50.5051Hz. For better interpretation of the measurements, it also features the ensemble-averaged intrawave instantaneous erosion depth (bed elevation) and the upper limit of the sheet flow layer.</p> <p>The folder “ADV” contains structures with the ensemble-averaged ADV data of each test sampled at 100Hz. Apart from the velocity components of each ADV it contains the vertical elevation of each ADV with respect to the ACVP transceiver. The ADV measurements were not subject to the same vertical referencing procedure that was described in the paper for the near-bed ACVP measurements and a more or less constant distance to the bed was assumed.</p> <p>The folder “OBS” contains structures with the ensemble-averaged OBS data of each test sampled at 40Hz. Apart from the concentration measurements it contains the vertical elevation of the OBSs with respect to the ACVP transceiver.</p> <p>The folder “ETA” contains structures with the ensemble-averaged water surface elevation measurements in many different absolute cross-shore locations in the flume sampled at 40Hz.</p> <p>For visualizing the near-bed concentration data, which may not be as trivial as visualizing the rest of the data, an example of MATLAB code is given:</p> <p>%S=ACVP_xx; %to choose which ACVP file you want to look into<br> con=S.c;<br> con(con<1)=1; %to cater for the cells where the logarithm is not defined<br> xphase=linspace(0,1,length(S.solbed)).*ones(size(S.c,2),size(S.c,1));<br> figure; hold on; box on; <br> [C,h]=contourf(xphase,S.z,log10(transpose(con)),[0:0.1:3]); <br> cbh=colorbar; caxis([0 3]); <br> set(h,'edgecolor','none'); <br> tt=get(cbh,'Title'); set(tt,'String','$^{10}log(c)$ $[kg/m^3]$','Interpreter','Latex');<br> plot(xphase(1,:),S.solbed,'k','Linewidth',1.5);<br> plot(xphase(1,:),S.solflo,'r','Linewidth',1.5);<br> xlabel('$t/T_r$','Interpreter','Latex')<br> ylabel('$\zeta_0$ $[m]$','Interpreter','Latex')<br> set(gca,'Fontsize',18)</p> <p> </p> <p> </p>
Changes in the Kuroshio path, surface velocity and transport during the last 35,000 years
<p>The major data for “Changes in the Kuroshio path, surface velocity and transport during the last 35,000 years” are listed as follows:</p> <p>1) The annual mean surface current (0-100m, m/s) in 5 cases. Data are separately saved in MATLAB files (surface_velocity_0ka.mat, surface_velocity_6ka.mat, surface_velocity_lgm.mat, surface_velocity_30ka.mat and surface_velocity_35ka.mat) with variables of longitude, latitude, u and v.</p> <p>2) The Kuroshio paths (longitude and latitude) in 5 cases are saved in MATLAB file of “data_pathxy.mat”.</p> <p>3) Distributions of upper 1000-m integrated volume-transport stream function from model results in 5 cases. Data is saved in the MATLAB file of “VT_model.mat” with variables of longitude, latitude, VT_model and casename.</p> <p>3) Distributions of wind-driven Sverdrup transport stream function calculated by wind stresses in 5 cases. Data is saved in the MATLAB file of “ST_wind.mat” with variables of longitude, latitude, ST_wind and casename.</p>
Replication package for: The Welfare Effects of Transportation Infrastructure Improvements
<p>This package contains all the code necessary to reproduce the figures and tables in Allen and Arkolakis (forthcoming) "The Welfare Effects of Transportation Infrastructure Improvements." The Review of Economic Studies. Please use the larger (480.6 MB) zip file.</p>
rOMT processed data: Cerebral amyloid angiopathy is associated with glymphatic transport reduction and time-delayed solute drainage along the neck arteries
<p>This dataset contains the speed map and Péclet map data processed by regularized optimal mass transport method (<a href="https://zenodo.org/record/5809635#.YczuJy2ZNBw">https://zenodo.org/record/5809635#.YczuJy2ZNBw</a>, <a href="https://github.com/xinan-nancy-chen/rOMT">https://github.com/xinan-nancy-chen/rOMT</a>).</p> <p>All files are in nifty format. This dataset contains in total 55 rat cases which are divided by age (3-month, 6-month and 12-month) and status of health ("WT" for wild-type and "CAA" for those who have developed Cerebral Amyloid Angiopathy).</p>
Global Transportation Demand Dataset using the Shared Socioeconomic Pathways (SSPs) Scenario Framework
<p>We use historical data for the land-based passenger (in passenger-kilometers (km)) across 38 countries and freight transport (in tonne-km) for 43 countries between 1990 and 2018 from the Transport Outlook of the International Transport Forum (ITF) transport database, to investigate the key drivers of transport energy demand <em><strong>source</strong>: ITF. (2019). ITF Transport Outlook 2019. ITF Transport Outlook 2019. <a href="https://www.oecd-ilibrary.org/transport/itf-transport-outlook-2019_transp_outlook-en-2019-en">https://www.oecd-ilibrary.org/transport/itf-transport-outlook-2019_transp_outlook-en-2019-en</a></em></p> <p>We collect the historical socioeconomic variables from the World Bank’s global open data bank <em><strong>source</strong>: World Bank. (2020). Data Bank: World Development Indicators. <a href="https://databank.worldbank.org/source/world-development-indicators">https://databank.worldbank.org/source/world-development-indicators</a></em></p> <p>For this scenario analysis, we rely on the shared socioeconomic pathways (SSPs) from the IIASA database (Riahi et al., 2017). <em><strong>source: </strong>Riahi, K., van Vuuren, D. P., Kriegler, E., Edmonds, J., O’Neill, B. C., Fujimori, S., … Tavoni, M. (2017). The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview. Global Environmental Change, 42, 153–168. <a href="https://doi.org/10.1016/j.gloenvcha.2016.05.009">https://doi.org/10.1016/j.gloenvcha.2016.05.009</a> Available Online: <a href="https://tntcat.iiasa.ac.at/SspDb/dsd?Action=htmlpage&page=about">https://tntcat.iiasa.ac.at/SspDb/dsd?Action=htmlpage&page=about</a></em></p> <p>The lack of data disaggregated by country and end-use sector in countries of interest was a significant drawback in the data collection process. We make a crucial assumption in this modeling exercise that historical demand profiles in developing countries track the global average per capita transport trends. Therefore, the resulting estimates are indicative and must be interpreted within this analysis's scope given the future is unknown and highly uncertain.</p> <p> </p> <p> </p> <p> </p> <p> </p>
Supplementary materials for the article "Encouraging a sustainable adoption of autonomous vehicles for public transport in Belgium: citizen acceptance, business mod-els and policy aspects"
<p>Supplementary materials for the article "Encouraging a sustainable adoption of autonomous vehicles for public transport in Belgium: citizen acceptance, business mod-els and policy aspects". It includes:</p> <p>- The dataset excluding data subject to confidentiality due to privacy reasons</p> <p>- The consent form distributed to survey participants</p> <p>- The survey used in the study</p>
Recording of DELFI-PQ/EASAT-2/HADES PocketQubes and other amateur satellites in the SpaceX Transporter 3 launch with the Allen Telescope Array on 2022-01-15 (antenna 1f)
<p>This dataset contains a recording of the 435 MHz telemetry signals of the DELFI-PQ, EASAT-2, HADES PocketQubes and other amateur satellites in the SpaceX Transporter 3 launch. The recording was done on 2022-01-15, two days after launch. Antennas 1a and 1f from the Allen Telescope Array were used in dual XY (linear) polarization.</p> <p>The hardware configuration was as follows: the two antennas were connected to RFCB LO d, which was tuned to a frequency of 436.5 MHz and used an output IF of 512 MHz. A USRP N321 and a USRP N320 were connected to the IF output of the RFCB. The USRP N321 and digitized both polarizations of antenna 1a, and the USRP N320 digitized both polarizations of antenna 1f. Both USRPs used external 10 MHz reference and PPS coming from the observatory distribution system, and LO sharing was set up among all the channels. The IQ sample rate of the USRP was 3.84 Msps and a GNU Radio flowgraph was used to record IQ data to disk.</p> <p>The GNU Radio flowgraph stored the IQ data for each channel as 16-bin integers in the <a href="https://wiki.gnuradio.org/index.php/Metadata_Information">GNU Radio metatata file format</a>, with detached headers. After recording, the data was converted to <a href="https://github.com/gnuradio/SigMF">SigMF</a> format.</p> <p>This dataset contains the data for antenna 1f. The data for antenna 1a is in the dataset <a href="https://zenodo.org/record/5874005#.YecgA4qCGCg">Recording of DELFI-PQ/EASAT-2/HADES PocketQubes and other amateur satellites in the SpaceX Transporter 3 launch with the Allen Telescope Array on 2022-01-15 (antenna 1a)</a>. The sigmf-collection file grouping all the recordings is provided in both datasets for convenience.</p> <p>Due to the lack of reliable TLEs, during the first part of the recording, the following TLE was tracked:</p> <p>1 99489U 22013.68438100 .00000000 00000-0 57534-2 0 06<br> 2 99489 97.5121 83.3548 0000001 54.9139 307.6602 15.14117915 08</p> <p>This TLE was fitted to previous Doppler observations of DELFI-PQ done by amateurs.</p> <p>After this object set, the following TLE was tracked:</p> <p>1 70302C 22002B 22013.68430822 .00096806 00000-0 57494-2 0 02<br> 2 70302 97.5121 83.3548 0012811 276.7340 85.5055 15.11291562 14</p> <p>This comes from the post-deployment TLEs in Celestrak for DELFI-PQ/EASAT-2/HADES.</p>
Recording of DELFI-PQ/EASAT-2/HADES PocketQubes and other amateur satellites in the SpaceX Transporter 3 launch with the Allen Telescope Array on 2022-01-15 (antenna 1a)
<p>This dataset contains a recording of the 435 MHz telemetry signals of the DELFI-PQ, EASAT-2, HADES PocketQubes and other amateur satellites in the SpaceX Transporter 3 launch. The recording was done on 2022-01-15, two days after launch. Antennas 1a and 1f from the Allen Telescope Array were used in dual XY (linear) polarization.</p> <p>The hardware configuration was as follows: the two antennas were connected to RFCB LO d, which was tuned to a frequency of 436.5 MHz and used an output IF of 512 MHz. A USRP N321 and a USRP N320 were connected to the IF output of the RFCB. The USRP N321 and digitized both polarizations of antenna 1a, and the USRP N320 digitized both polarizations of antenna 1f. Both USRPs used external 10 MHz reference and PPS coming from the observatory distribution system, and LO sharing was set up among all the channels. The IQ sample rate of the USRP was 3.84 Msps and a GNU Radio flowgraph was used to record IQ data to disk.</p> <p>The GNU Radio flowgraph stored the IQ data for each channel as 16-bin integers in the <a href="https://wiki.gnuradio.org/index.php/Metadata_Information">GNU Radio metatata file format</a>, with detached headers. After recording, the data was converted to <a href="https://github.com/gnuradio/SigMF">SigMF</a> format.</p> <p>This dataset contains the data for antenna 1a The data for antenna 1f is in the dataset <a href="https://zenodo.org/record/5866602#.YecgMoqCGCg">Recording of DELFI-PQ/EASAT-2/HADES PocketQubes and other amateur satellites in the SpaceX Transporter 3 launch with the Allen Telescope Array on 2022-01-15 (antenna 1f)</a>. The sigmf-collection file grouping all the recordings is provided in both datasets for convenience.</p> <p>Due to the lack of reliable TLEs, during the first part of the recording, the following TLE was tracked:</p> <p>1 99489U 22013.68438100 .00000000 00000-0 57534-2 0 06<br> 2 99489 97.5121 83.3548 0000001 54.9139 307.6602 15.14117915 08</p> <p>This TLE was fitted to previous Doppler observations of DELFI-PQ done by amateurs.</p> <p>After this object set, the following TLE was tracked:</p> <p>1 70302C 22002B 22013.68430822 .00096806 00000-0 57494-2 0 02<br> 2 70302 97.5121 83.3548 0012811 276.7340 85.5055 15.11291562 14</p> <p>This comes from the post-deployment TLEs in Celestrak for DELFI-PQ/EASAT-2/HADES.</p>
Recording of DELFI-PQ/EASAT-2/HADES PocketQubes and other amateur satellites in the SpaceX Transporter 3 launch with the Allen Telescope Array on 2022-01-16
<p>This dataset contains a recording of the 435 MHz telemetry signals of the DELFI-PQ, EASAT-2, HADES PocketQubes and other amateur satellites in the SpaceX Transporter 3 launch. The recording was done on 2022-01-16, three days after launch. Antennas 1a and 1f from the Allen Telescope Array were used in dual XY (linear) polarization.</p> <p>The hardware configuration was as follows: the two antennas were connected to RFCB LO d, which was tuned to a frequency of 436.5 MHz and used an output IF of 512 MHz. A USRP N321 and a USRP N320 were connected to the IF output of the RFCB. The USRP N321 and digitized both polarizations of antenna 1a, and the USRP N320 digitized both polarizations of antenna 1f. Both USRPs used external 10 MHz reference and PPS coming from the observatory distribution system, and LO sharing was set up among all the channels. The IQ sample rate of the USRP was 3.84 Msps and a GNU Radio flowgraph was used to record IQ data to disk.</p> <p>The GNU Radio flowgraph stored the IQ data for each channel as 16-bin integers in the <a href="https://wiki.gnuradio.org/index.php/Metadata_Information">GNU Radio metatata file format</a>, with detached headers. After recording, the data was converted to <a href="https://github.com/gnuradio/SigMF">SigMF</a> format.</p> <p>The following TLE was used for antenna tracking:</p> <p>1 99489U 22016.00000000 .00000000 00000-0 57534-2 0 09<br> 2 99489 97.5121 85.6393 0012811 246.2946 131.6449 15.14316081 04</p> <p>This TLE was fitted to previous Doppler observations of DELFI-PQ done by amateurs.</p>
Transient Na+-binding site is essential for transport mechanism in the glutamate transporter homologue GltTk
<p>Dataset to reproduce MD simulations described in "Transient Na+-binding site is essential for transport mechanism in the glutamate transporter homologue GltTk".</p>
Impact of gigahertz and terahertz transport regimes on spin propagation and conversion in the antiferromagnet IrMn
<p>Data for the publication "Impact of gigahertz and terahertz transport regimes on spin propagation and conversion in the antiferromagnet IrMn" published in Applied Physics Letters. The following datasets are provided: GHz and THz raw data as function of the IrMn thickness, THz raw data spectra of the Pt|AF|F sample set, GHz and THz charge currents for forward (N|AF|F) and reversly-grown (F|AF|N) trilayer samples for N= Pt, W and Ta with varying AF thickness as well as the frequency-dependence of the charge current in the THz regime. Moreover, the temporal dynamics of the spin current densities from IrMn thicknesses 0nm, 3nm and 6nm are supplied.</p>
Transport of Phosphorus in the Hyporheic Zone
<p>The purpose of this study is to investigate the transport and distribution of phosphorus in the hyporheic zone by means of laboratory experiments and numerical simulations.</p>
Structural Rearrangement of the Serotonin Transporter Intracellular Gate Induced by Thr276 Phosphorylation
<p>Molecular dynamics trajectories for <em>Structural Rearrangement of the Serotonin Transporter Intracellular Gate Induced by Thr276 Phosphorylation</em> by Matthew C. Chan, Erik Procko, Diwakar Shukla.</p> <p> </p> <p> </p>
Genetic mutations and decreased protein expression of ABCG2 urate transporters are associated with susceptibility to gout, disease severity and renal-overload hyperuricemia
<p><strong>We are releasing the data and code of our study of clinically defined gouty patients. </strong></p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.