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2,271 results for “transporte”
Dataset of Paper "Optimization and parallelization of the Discrete Ordinate Method for radiation transport simulation in OpenFOAM: Hierarchical combination of shared and distributed memory approaches"
<p>Dataset of Paper "Optimization and parallelization of the Discrete Ordinate Method for radiation transport simulation in OpenFOAM: Hierarchical combination of shared and distributed memory approaches":</p> <ul> <li>Time profiling of the DOM model stages.</li> <li>Speed-up and parallel fraction of the “global results generation” stage in the DOM model.</li> <li>Comparison of computational time between original and modified DOM model stages.</li> <li>Scalability of the peer-to-peer communication (OpenFOAM) and master-slave communication (ANSYS Fluent) architectures.</li> <li>Results of the benchmarking of the model with ANSYS Fluent in three reactors.</li> <li>Mesh of the jerrycan.</li> <li>Mesh of the anular reactor</li> <li>Mesh of the tubular reactor couple to a compound parabolic collector.</li> </ul>
Navel healing and calf fitness for transport
<p>Dairy male calves are at risk of welfare compromise as they are usually transported at a very young age. The European Union has set a “completely healed navel” requirement for calf transport; moreover, a minimum age is established for longer journeys. However, this requirement has proven to be prone to misinterpretation. This study aimed to clarify what is meant by “navel healing” and to provide strong elements for reaching a consensus. The navels of 299 dairy calves (55 males, 244 females) aged 0–90 days were examined and scored 1 to 5 according to their healing status. Based on our results, a completely dry and shriveled navel (score 3) would imply a 25.5–38.0% risk of transporting too young calves. Alternatively, the presence of a scab covering the umbilical wound (score 4) would entail a 4.3% risk of transporting calves less than 10 days old and could be considered good practice for transporting calves (except for journeys exceeding 8 h). Conversely, complete navel healing (score 5) guarantees that calves that are too young are not transported; therefore, it should be considered best practice for transporting calves in general and the minimum requirement for transporting calves for journeys exceeding 8 h.</p>
Simulation of Cold Ion Transport Originating from the SED Plume into Dayside Magnetosphere
<p>Data output from DyFK simulations for ''Simulation of Cold Ion Transport Originating from the SED Plume into Dayside Magnetosphere''. Data descriptions are listed in "dataDescription.docx". </p>
Analytical model for collisional impurity transport in tokamaks at arbitrary collisionality
<p>Database of NEO simulations used to develop a set of formulae for an analytical model for collisional impurity transport in tokamaks.</p>
Sea urchin transport data
<p>Excel sheets of data from transport trials</p>
Data for "International Transport costs: New Findings from modeling additive costs"
<p>Downloading the data will provide you with a .zip file.</p> <p>These data are US imports from 1974 to 2020, by partner, transport mode and product at the 5 digit level in the "Hummels" data and by partner, transport mode, district of entry, district of unlading and product at the 10 digit level for the rest of the data.</p> <p>All the data originally come from the Census Bureau "Foreign Trade" (see https://www.census.gov/foreign-trade/index.html) and belong to the public domain.</p> <p>"Hummels_JEP _data" was downloaded from David Hummels’s website (https://www.krannert.purdue.edu/faculty/hummelsd/research/jep/data.html -- Hummels, David, "Transportation Costs and International Trade in the Second Era of Globalization", <em>Journal of Economic Perspectives</em>, Vol 21, No 3, pp 131-154. It covers 1974 to 2004.</p> <p>The other main files were bought directly from the Census Bureau ("Annual Merchandise Trade files"). They cover 1997-1999 and 2002-2020.</p> <p>Various files are included for the conversion of country codes (dist_cepii.dta, countrycodes_use.txt), product codes (HS2002_SITC2.txt) and to associate quantity units with hts codes (hts... and ..._hts_...).</p>
Rethinking the Roles of Transport and Photochemistry in Regional Ozone Pollution: Insights from Ozone Mass and Concentration Budgets
<p>1) Code (Fortran) to quantify ozone mass and concentration budgets in the atmospheric boundary layer of the user-defined region.</p> <p>2) Initial data of ozone mass and concentration budgets in the atmospheric boundary layer of the Pearl River Delta in Oct. 2015 and July 2016.</p>
CESM1-SOM Climatologies used for "Climate Sensitivity is Sensitive to Changes in Ocean Heat Transport" (published in Journal of Climate, Mar 2022)
<p>CESM1-SOM climatologies.</p> <p>Pre-industrial control run = SOM_Control.cam5.0030-0059.ann.nc</p> <p>CO2-doubling experiments:</p> <ul> <li>OHT + 30% = SOM_OHFC_P30_2XCO2_032019.cam5.0030-0059.ann.nc</li> <li>OHT + 15% = SOM_OHFC_P15_2XCO2_032019.cam5.0030-0059.ann.nc</li> <li>Control OHT = SOM_2XCO2_032019.cam5.0030-0059.ann.nc</li> <li>OHT - 15% = SOM_OHFC_M15_2XCO2_032019.cam5.0030-0059.ann.nc</li> <li>OHT - 30% = SOM_OHFC_M30_2XCO2_032019.cam5.0030-0059.ann.nc</li> </ul>
Transport-Energy Database: Laos
<p>This Transport-Energy Database (TED) covers technology, energy demand and policies relating to the transport-energy system in Laos. This Transport-Energy Database (TED) was compiled by Latsayakone Pholsena funded by the Climate Compatible Growth (CCG) programme. Data sources are linked where possible.</p> <p>This dataset was compiled as part of the CCG programme for future work in constructing transport-energy decarbonisation narratives for partner countries, including Laos.</p>
Electrification of Transportation Means a Lot More Than a Lot More Electric Vehicles
<p>Energy use in 2050 from the Annual Energy Outlook 2021 published by the U.S. Department of Energy's Energy Information Agency.</p>
Transport-Energy Database: Kenya
<p>This Transport-Energy Database (TED) covers technology, energy demand and policies relating to the transport-energy system in Kenya. It was compiled using data sources from the IEA, World Bank, Kenyan Government, EnergyData.info and the TraCs project (https://www.giz.de/en/worldwide/40579.html). All data sources are linked where possible. Data from the Kenyan Statistical Abstract and the TraCs data were manually transcribed from their sources.</p> <p>This dataset was compiled as part of the Climate Compatible Growth (CCG) programme for future work in constructing transport-energy decarbonisation narratives for partner countries, including Kenya. The data was validated in March/April 2022 by Nam Lolwe Environmental Services.</p>
Evaluation of Alternative Sources of Supplementary Cementitious Materials (SCMs) for Concrete Materials in Transportation Infrastructure
<p>Fly ash is the most utilized supplementary cementitious material (SCM) in the US. Nonetheless, rapid decline in coal-fired power generation threatens its supply. The objective of this study was to evaluate alternative SCMs for concrete transportation infrastructure in Region 6. SCMs investigated included reclaimed fly ash (RFA), reclaimed ground bottom ash (GBA), metakaolin (MK), and conventional Class F fly ash (FA) as a reference. SCMs were characterized and the fresh and hardened properties of concrete incorporating different dosages (i.e., 10, 20, and 30% cement replacement by mass) of the individual SCMs (i.e., binary systems) and blended SCM systems of RFA-MK and GBA-MK (i.e., ternary systems) were assessed. All the coal ashes met the requirements for pozzolanic component, CaO, SO3, moisture content, LOI, SAI, and water requirement to be classified as Class F pozzolan according to ASTM C618. MK met all the but the water requirement. Concrete using FA generally exhibited better workability than the control mixture (i.e., without SCMs), whereas concrete incorporating RFA, GBA, and MK presented decrements in workability. Mixtures implementing ternary systems also displayed decrements in workability. Air content of fresh concrete mixtures incorporating binary and ternary systems generally decreased. Relative to the control mixture, decrements in 28-day compressive strength (f’c) were reported when incorporating FA and RFA, yet this was generally not the case for the 90-day f’c. In the case of GBA mixtures, significant differences in f’c were not observed after 28 days nor 90 days. MK mixtures as well as RFA-MK and GBA-MK mixtures generally presented increments in 28-day and 90-day f’c. Concrete mixtures implementing coal ashes did not produce significant differences in 28-day surface resistivity (SR) at any cement replacement levels; yet after 90 days of curing, significant improvements in SR were reported. MK, RFA-MK, and GBA-MK mixtures exhibited significant increments in SR at all dosages after 28 and 90 days of curing. Notably, while the control mixture and mixtures incorporating coal ashes did not meet the 28-day SR requirement for class A1 concrete according to LaDOTD, mixtures implementing MK and ternary systems did in almost all cases. All SCMs were effective at reducing drying shrinkage. Binary systems reduced drying shrinkage by 24.2-69.1%, whereas ternary systems reduced drying shrinkage by 55.2-75.3%. With regards ASR, mixtures implementing SCMs presented significantly lower expansion and the increment in SCMs content further reduced the expansion; thus, signaling a positive effect in suppressing ASR related expansion, specially at high dosages.</p>
Development of Novel Ultra-High Performance Engineered Cementitious Composites (UHP-ECC) for Durable and Resilient Transportation Infrastructure
<p>The objective of this study was to develop novel UHP-ECC materials utilizing readily available ingredients in Region 6 for the construction and repair of transportation infrastructure. Phase one of this study focused on the development of ultra-high strength cementitious matrices by evaluating the effects of ingredient selection and mixture proportioning on the materials’ compressive strength. Variables evaluated included the mass ratios of silica fume to fly ash (SF/FA), supplementary cementitious materials to cement (SCMs/C), and ordinary sand to microsilica sand (OS/MS). Phase two of the study focused on the development of UHP-ECC materials. To this end, based on the knowledge gained from phase one, two ultra-high strength cementitious matrices (one with and one without SF) were formulated and their fracture properties were evaluated through fracture toughness test. Furthermore, fiber-bridging properties of ultra-high-molecular-weight (UHMW) polyethylene (PE) fiber in the developed cementitious matrices were evaluated through single crack tensile test (SCTT). Four different composites were produced by reinforcing the selected cementitious matrices with 1.5 and 2 vol.% UHMW PE fiber. Fresh and hardened properties of the developed composites were assessed by means of flowability test, compressive strength test, uniaxial tensile test, and flexural performance test. Results from phase one showed that SF/FA had the most relevant effect on compressive strength, followed by SCMs/C, and OS/MS. Furthermore, increments in SF/FA produced improvements in strength, whereas increments in SCMs/C and OS/MS reduced strength. Experimental results from phase two indicated that the use of SF and the increase in fiber content generally had a negative effect on the fresh and hardened properties of the composites. These observations were credited to a worsening fiber distribution when using silica fume and/or increasing fiber content. Three UHP-ECC materials utilizing readily available ingredients were successfully developed (i.e., mixtures FA25-f1.5, FA25-f2, and FA20SF5-f2). These materials simultaneously exhibited ultra-high compressive strength (>120 MPa) and ECC-like ductility (tensile strain capacity >2%). The average crack width for all mixtures ranged between 61-131 μm. Mixture FA25-f1.5, which displayed the best mechanical properties, exhibited a compressive strength of 133.1 MPa, flexural strength of 21.4 MPa, tensile strength of 10.3 MPa, tensile strain capacity of 4.3%, and an average crack width of 115.3 μm. Importantly, this mixture did not incorporate silica fume or microsilica sand and used low fiber content (i.e., 1.5 vol.%).</p>
Evaluation of Sustainable and Environmentally Friendly Stabilization of Cohesionless Sandy Soil for Transportation Infrastructure
<p>Ordinary Portland cement (OPC) is generally used to stabilize cohesionless sandy soils that are often found in coastal areas. Due to its high carbon footprint, many studies are being conducted to identify a suitable green alternative for stabilizing cohesionless soils. Previous studies have shown that partially replacing OPC with waste materials such as nano-silica and coal waste reduces the overall carbon footprint without significantly impacting the performance. Geopolymer (GP) received a lot of attention in the past few decades owing to its similar properties to that of OPC yet with a lower carbon footprint. This study investigated the feasibility of stabilizing cohesionless sandy soils with metakaolin-based GP. Engineering and characterization tests such as shrinkage, strength, pH, scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS) were performed to evaluate various characteristics of the stabilized mixes with different dosages of geopolymer and relate them to microstructural changes. Notably, GP-treated soils did not deteriorate during the durability tests, whereas the OPC-treated soil only retained about 75% of its strength. This is an indication that GP could be a better choice than OPC in coastal areas where cohesionless soils often experience heavy rainfall and flooding. Overall, an optimum dosage of GP improved both the mechanical properties and durability of cohesionless soils.</p>
Urban Transportation Infrastructure and Cyclist and Pedestrian Safety
<p>The goal of this project was to perform a comprehensive evaluation of crash causes and risk factors to identify the root causes of crashes involving bicyclists and pedestrians in San Antonio, TX. The research included the development of a database of bicycle and pedestrian crash reports in the target area, calculation of crash counts and rates, identifying road segments and intersections with highly concentrated bicycle and pedestrian crashes, and the development of effective safety countermeasures. Several variables and factors were analyzed, including driver characteristics such as age and gender, road-related factors, and environmental factors such as weather conditions and time of the day. Bivariate analysis and logistic regression were used to identify the most significant predictors of severe pedestrian/bicyclist crashes. Geospatial analysis was used to investigate crash frequency and severity. High-risk locations were identified through heat maps and hotspot analysis. The downtown area had the highest crash density, but crash severity hotspots were identified outside of the downtown area. The strongest predictors of severe injury include lighting condition, road class, road speed limit, traffic control, collision type, and the age and gender of the pedestrian/bicyclist. Fatal and incapacitating injury risk increased substantially when the pedestrian/bicyclist was at fault. Resource allocation to high-risk locations, a reduction in the speed limit, an upgrade of the lighting facilities in high pedestrian activity areas, educational campaigns for targeted audiences, the implementation of more crosswalks, pedestrian refuge islands, and raised medians, and the use of leading pedestrian/bicyclist interval and hybrid beacons are recommended.</p>
Deep Reinforcement Learning-based Project Prioritization for Rapid Post-Disaster Recovery of Transportation Infrastructure Systems
<p>Among various natural hazards that threaten transportation infrastructure, flooding represents a major hazard in Region 6's states to roadways as it challenges their design, operation, efficiency, and safety. The catastrophic flooding disaster event generally leads to massive obstruction of traffic, direct damage to highway/bridge structures/pavement, and indirect damages to economic activities and regional communities that may cause loss of many lives. After disasters strike, reconstruction and maintenance of an enormous number of damaged transportation infrastructure systems require each DOT to take extremely expensive and long-term processes. In addition, planning and organizing post-disaster reconstruction and maintenance projects of transportation infrastructures are extremely challenging for each DOT because they entail a massive number and the broad areas of the projects with various considerable factors and multi-objective issues including social, economic, political, and technical factors. Yet, amazingly, a comprehensive, integrated, data-driven approach for organizing and prioritizing post-disaster transportation reconstruction projects remains elusive. In addition, DOTs in Region 6 still need to improve the current practice and systems to robustly identify and accurately predict the detailed factors and their impacts affecting post-disaster transportation recovery. The main objective of this proposed research is to develop a deep reinforcement learning-based project prioritization system for rapid post-disaster reconstruction and recovery of damaged transportation infrastructure systems. This project also aims to provide a means to facilitate the systematic optimization and prioritization of the post-disaster reconstruction and maintenance plan of transportation infrastructure by focusing on social, economic, and technical aspects. The outcomes from this project would help engineers and decision-makers in Region 6's State DOTs optimize and sequence transportation recovery processes at a regional network level with necessary recovery factors and evaluating its long-term impacts after disasters.</p>
Data sets for "Formation of an Al-rich niccolite-type silica in subducted oceanic crust: implications for water transport to the deep lower mantle"
<p>This is the XRD and IR datasets for the article "Formation of an Al-rich niccolite-type silica in subducted oceanic crust: implications for water transport to the deep lower mantle" by Liu and Yuan et al.</p>
Reviewed Articles from the study "Running away to sea: a theoretical model of anthropogenic factors contribution for microplastics transportation from rivers to the ocean".
<p>Table containing the papers reviewed from the study "Running away to sea: a theoretical model of anthropogenic factors contribution for microplastics transportation from rivers to the ocean". </p>
Isotropic Transport Benchmarks
<p>Time dependent transport solutions for multiple sources and initial conditions through integration of Green's functions of the transport operator.</p>
Data and Code For: Closing the Loop Between Microstructure and Charge Transport in Conjugated Polymers by Combining Microscopy and Simulation.
<p>This repository contains the datasets and scripts used in the article "Closing the Loop Between Microstructure and Charge Transport in Conjugated Polymers by Combining Microscopy and Simulation." </p> <p>Contents:</p> <p>4D-STEM data of the polymer PBTTT, annealed at 180C for 2h, vapor doped with the molecule F4TCNQ</p> <ul> <li>3_80x80_ss=10nm_spot9_alpha=p48_cl=480_RT_300kV_33ms_bin=4.zip ("Scan 3", Main case study)</li> <li>05 CL480 alpha p48 300kV spot11 50ms 80x80 s10.zip</li> </ul> <p>4D-STEM data of the polymer PBTTT, annealed at 180C for 2h, undoped</p> <ul> <li>10 A1 CL480 alpha p48 300kV spot11 50ms 80x80 s10.zip</li> <li>15 A1 CL480 alpha p48 300kV spot11 50ms 80x80 s10.zip</li> </ul> <p>Preprocessed data from "Scan 3." Images are centered, artifacts are removed, and images are binned and converted to radial coordinates.</p> <ul> <li>4D-STEM Preprocessed.zip <ul> <li>sample_preprocessed_data_80x80_ss=10_cl=480__q 1.00 3.00 0.05 a 5.00.npy (medium resolution, wide range, used in paper)</li> <li>sample_data_cube_q_1.0_2.0_0.1_angle_5.npy (low resolution, narrow range)</li> </ul> </li> </ul> <p>Grazing-Incidence Wide-Angle X-ray scattering (GIWAXs) scan of annealed PBTTT, supporting our interpretation of the 4D-STEM data.</p> <ul> <li>3 raw images</li> <li>Calibration files</li> <li>Combined processed image</li> </ul> <p>Spatially resolved diffraction intensity mapped onto a spherical harmonic basis set, for use as an input to structural simulations. One for each of the four 4D-STEM datasets.</p> <ul> <li>spherical_harmonics.zip</li> </ul> <p>Simulated structures of polymer chains based on the processed 4D-STEM data, created using code at https://github.com/SpakowitzLab/wlcsim. Each simulation produced 15 structures using different levels of chain alignment.</p> <ul> <li>chain_geometries.zip <ul> <li>main_dataset_03 (main case study)</li> <li>hi_align_03 (3.3x higher alignment factors than main dataset)</li> <li>undoped_10</li> <li>undoped_15</li> </ul> </li> </ul> <p>Simulations of charge transport through the structures</p> <ul> <li>transport_simulations.zip <ul> <li>ct_16_n100 (explores structural modifications and their effects on mobility)</li> <li>ct_18_n1000 (explores transport in all 4 directions and is used for making GIFs of simulations)</li> <li>ct_20_n1000 (explores the effect of degree of chain alignment)</li> <li>ct_28_n1000 (explores the effect of electric field strength)</li> <li>ct_29_n100 (tracks distances of individual on-chain moves)</li> <li>ct_30_n10000 (uses a high sample size and varied start positions to sample both short-time and long-time mobility)</li> </ul> </li> </ul> <p>Code for 4D-STEM analysis and simulations of charge transport. (Code for structural simulations can be found at https://github.com/SpakowitzLab/wlcsim).</p> <ul> <li>code.zip <ul> <li>preprocess_4dstem.py: package for preprocessing 4D-STEM files</li> <li>flow_fields.py: package for visualizing 4D-STEM data using director maps</li> <li>autocorrelation.py: package for measuring correlation lengths in 4D-STEM data via multiple methods</li> <li>spherical_harmonics.py: package for mapping diffraction intensity onto a spherical harmonic basis set. The results can be used as an input for structural simulations. </li> <li>charge_transfer_assets.py: package for performing charge transfer simulation on simulated chain coordinates</li> </ul> </li> <li>examples.zip <ul> <li>preprocess_demo: sample usage for preprocess_4dstem.py</li> <li>visualization_demo: sample usage for flow_fields.py, autocorrelation.py, and spherical_harmonics.py</li> <li>charge_tranpsort_demo: sample usage for charge_transfer_assets.py</li> <li>paper_figures: shows the code for producing several figures from the paper, using the included simulation datasets. </li> </ul> </li> </ul>
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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.