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51 results for “Public Transport”
SPARCS_WP4_Leipzig_City_Total amount of e-buses in public transport
<p>The number of electronic buses used in the city of Leipzig's public transport with annually captured data covering the period between 2021 and 2024.</p>
SPARCS_WP4_Leipzig_City_Total amount of vehicles in public transport
<p>The number of vehicles used in the city of Leipzig's public transport with annually captured data covering the period between 2016 and 2023.</p>
SPARCS_WP4_Leipzig_City_Percentage of people going to work using public transport
<p>The percentage of people in the city of Leipzig who commute to and from their workplace by public transport; data captured annually covering the period from 2016 to 2022</p>
SPARCS-WP3_Espoo_City_Citizens using public transportation to go to work
<p>Percentage of people using public transportation for commuting.</p>
Dataset related to the publication "A transportable refractometer for assessment of pressure in the kPa range with ppm level precision"
<p>The data set consists of; The published paper, all figures that present measurement or simulation data in .png and .fig format and the underlying data plotted in the figures in text format. The published plots were generated from the fig files. The text files were generated by reading the plotted data from the fig files. The files are named Fig_XX were XX corresponds to the figure number in the publication. The format of the text file is as follows. Before every data set there is a header consisting of; The number of the subplot where the data is plotted (Plot: XX), the number of the data set in the sub plot (DataSet: XX), and the color of the line or marker in the plot (Color: XX). The description of what each color represents can be found in the publication.</p>
SDG Indicator 11.2.1: Urban Access to Public Transport, 2023 Release
The SDG Indicator 11.2.1: Urban Access to Public Transport, 2023 Release, part of the SDGI collection, measures the proportion of the population in a city that has convenient access to public transport. UN SDG 11 is "make cities and human settlements inclusive, safe, resilient and sustainable". Improving access to public transport services is integral to achieving the objectives of SDG 11. According to the UN Sustainable Transport, Sustainable Development 2021 Interagency Report, "only about half the world's urban population have convenient access to public transport". The report highlights that access to sustainable transport can help reduce food insecurity, boost economies, empower women, and connect people to key health, education, and financial services. As one measure of progress towards SDG 11, the UN has established SDG indicator 11.2.1. The indicator was computed as the proportion of WorldPop gridded population within either 0.5 kilometer walking distance to a low-capacity OpenStreetMap (OSM) public transport point or 1 kilometer walking distance to a high-capacity OSM public transport point. Cities were delineated using the European Commission Joint Research Centre (JRC) Urban Center Database (UCDB). The SDG indicator 11.2.1 data set provides estimates for the proportion of population with convenient access to public transport for 5,749 urban centers across 178 countries.
"Reality Anchors": Bringing Cues from Reality into VR on Public Transport to Alleviate Safety and Comfort Concerns
<p>This is the questionnaire data set (N=20) measuring key VR adoption barriers when showing cues from reality in VR for our paper entitled <em>“Reality Anchors”: Bringing Cues from Reality into VR on Public Transport to Alleviate Safety and Comfort Concerns</em>.</p>
Virtual Reality in transit: how acceptable is VR use on public transport?
<p>These are raw data sets from two surveys investigating VR acceptance on different modes of public transport (N1=60, N2=108) for our published paper entitled "Virtual Reality in transit: how acceptable is VR use on public transport?". DOI: https://doi.org/10.1109/VRW52623.2021.00098.</p> <p> </p>
Ataset of the publication "Is red distribution width a valid tool to predict impaired iron transport in heart failure?"
<p>Background: Impaired iron transport (IIT) is a form of iron deficiency (ID) defined as transferrin saturation (TSAT) < 20% irrespective of serum ferritin levels. It is frequently observed in heart failure (HF) where it negatively affects prognosis irrespective of anaemia. Objectives: In this retrospective study we searched for a surrogate biomarker of IIT. Methods: We tested the predictive power of red distribution width (RDW), mean corpuscular volume (MCV) and mean corpuscular haemoglobin concentration (MCHC) to detect IIT in 797 non-anaemic HF patients. Results: At ROC analysis, RDW provided the best AUC (0.6928). An RDW cut-off value of 14.2% identified patients with IIT, with positive and negative predictive values of 48 and 80%, respectively. Comparison between the true and false negative groups showed that estimated glomerular filtration rate (eGFR) was significantly higher (p = 0.0092) in the true negative vs. false negative group. Therefore, we divided the study population according to eGFR value: 109 patients with eGFR ≥ 90 ml/min/1.73 m2, 318 patients with eGFR 60-89 ml/min/1.73 m2, 308 patients with eGFR 30-59 ml/min/1.73 m2 and 62 patients with eGFR < 30 ml/min/1.73 m2. In the first group, positive and negative predictive values were 48 and 81% respectively, 51 and 85% in the second group, 48 and 73% in the third group and 43 and 67% in the fourth group. Conclusion: RDW may be seen as a reliable marker to exclude IIT in non-anaemic HF patients with eGFR ≥60 ml/min/1.73 m2.</p>
Locating and Costing Congestion for School Buses and Public Transportation
<p>Two geospatial polyline datasets, one for Durham County, NC and the other for Pinellas County, FL. The attributes show the minutes of delay per vehicle and the cumulative minutes of delay for school buses, public transit buses and total buses. These data can be displayed in a GIS software for further visualization and analysis. An online web-mapping application has been created to display this information for each location by hour of the day and can be accessed here: <a href="http://transitportal.org/cost_of_congestion.html">Cost of congestion (transitportal.org</a></p>
Matlab code associated with publication "Mathematical model of the multi-amino acid multi-transporter system predicts uptake flux in CHO cells"
<p>Matlab code associated with publication "Mathematical model of the multi-amino acid multi-transporter system predicts uptake flux in CHO cells" </p> <p>Published version : Ashley Sreejan, Mugdha Gadgil, Chetan J. Gadgil, Mathematical model of the multi-amino acid multi-transporter system predicts uptake flux in CHO cells, Journal of Biotechnology, Volume 344, 2022, Pages 40-49, ISSN 0168-1656</p> <p>Published version available at https://doi.org/10.1016/j.jbiotec.2021.12.003</p> <p>One version of the manuscript is available at doi:10.1101/2021.04.26.441392</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.
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DANDI Archive for NWB datasets
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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.