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4,325 results for “real”
Incorporating real-time traffic data into air quality mapping uncovers more severe exposure disparities at the community level
<p>Data and codes for the XGBoost model training in our manuscript titled "Incorporating real-time traffic data into air quality mapping uncovers more severe exposure disparities at the community level"</p>
Replication package for: Real Exchange Rates and the Earnings of Immigrants
<p>The package contains the code necessary to reproduce the tables and figures in Dustmann, Ku, and Surovtseva (forthcoming): "Real Exchange Rates and the Earnings of Immigrants". The Economic Journal. </p>
Machine Learning Integrated High Quantum Yield Blue Light Carbon Dots for Real-time and On-site Detection of Cr(VI) in Groundwater and Drinking Water
<p>RGB和Kmeans提取后含有Cr(VI)水样的图像数据</p>
Remote sensing of the light-obscuring smoke properties in real-scale fires using a photometric measurement method
<p>This data set complements the article <a href="https://doi.org/10.1007/s10694-023-01470-z">https://doi.org/10.1007/s10694-023-01470-z</a>.</p> <p>The data set contains the raw image data of three representative experiments and the corresponding input configuration data files for the LEDSA simulations.</p> <p>The data set contains:</p> <p>- The processed LEDSA simulation data of all experiments, mainly consisting of the measured and normalized intensities of all LEDs and the computed extinction coefficients according to the applied layer discretization (ledsa_simulations.zip).</p> <p>- The recorded measurement data of all experiments from three MIREX devices (MIREX.zip).</p> <p>- An exemplary data set consisting of the LEDSA raw data as RAW image files from three representative experiments in shortened form, containing every third image (image_data_{...}.zip).</p> <p>- LEDSA Input and Config files for analysis and simulation of the provided exemplary image data (ledsa_simulations_short.zip).</p> <p>- Python scripts for reading and post-processing the LESDA simulation data (postprocessing_tools.zip)</p> <p>- Juptyter Lab Python scripts that have been used to create the plots in the associated paper (data_analysis.zip).</p> <p>- The figures from the associated paper (figures.zip).</p> <p>Notes</p> <p>In order to run the Python scripts in Juptyer Labs properly, the given directory structure must be maintained, resulting when all archives are unpacked on the same hierarchical level.</p> <p> </p> <p>The authors gratefully acknowledge the financial support of the German Federal Ministry of Education and Research. The extensive LEDSA computations were performed largely on the high-performance computer system funded as part of the CoBra project with the grant number 13N15497.</p>
Real time temperature measurements during aplication of PFA to rat ventricular tissue
<p>Dataset containing the temperature recordings performed during PFA in ventricular tissue as described in publication : doi: 10.1161/CIRCEP.122.010992.</p> <p> </p> <p> </p>
Dataset from 'Klever, L., Islam, J., Võ, M., & Billino, J. (2023). Aging attenuates the memory advantage for unexpected objects in real-world scenes. Heliyon, e20241, doi: 10.1016/j.heliyon.2023.e20241
<p>We provide two files; one data file contains data on which analyses are based, the other one gives the column labels for the data file.</p> <p>___________________________________________<br> For further questions, please contact:<br> jutta.billino[at]psychol.uni-giessen.de</p>
Data used in the recently submitted AGU manuscript "Global Mantle Conductivity Imaging using 3-D GDS Inversion with Real Earth Surface Conductivity Constraint"
<p>Main data used in the recently submitted AGU manuscript "Global Mantle Conductivity Imaging using 3-D GDS Inversion with Real Earth Surface Conductivity Constraint"</p>
Datasets and code for "Multi-site transfer function approach for real-time modeling of the ground electric field induced by laterally-nonuniform ionospheric source" by Kruglyakov et al. (2023)
<ol> <li>Archive calculate_weights_for_rt.tgz contains the code for calculation of weights used for computation of electric fields based on multi-site transfer function approach following Kruglyakov et al. (2023). The code is written in Fortran 2003 and the only external dependency is LAPACK/BLAS -compatible library, for example OpenBLAS from https://www.openblas.net. See READ.ME for details.</li> <li>Files GICs*.dat contain observed and modelled geomagnetically induced currents (GICs) at Mäntsälä compressor station in southern Finland (60.6 N, 25.2 E) (https://space.fmi.fi/gic/) for three events (in 2000, 2001, and 2003).</li> <li>Files E_x*. E_y* contain corresponding components of measured (detrended and downsampled from 1s to 10s) and modeled electric fields at sites M02 and M05 from 05:15 to 06:15 UT, 11 Sep 2005.</li> <li>Files MS_TF*.dat contain multi-site transfer functions for different sets of IMAGE magnetometers (based on the data availability during the simulated events) in the frequency domain and the corresponding weights for calculation of electric field in the time domain.</li> <li>File E_to_GICs_W.dat contains coefficients for computation of GICs at Mäntsälä station from electric fields at 18 sites used in the simulation. See Equation (15) of Kruglyakov et al. (2023) for details.</li> </ol> <p> </p> <p> </p>
Real-Time Delphi data: How to identify and interpret weak signals of change in the forest bioeconomy
<p>Data from: Mauno, T., Catelo, F., Bengston, D.N., Pykäläinen, J. & Hujala, T. 2023. How to identify and interpret weak signals of change in the forest bioeconomy. Forest Policy and Economics. <a href="https://doi.org/10.1016/j.forpol.2023.103075?_gl=1*a2eeob*_ga*NDE0MDgzOTYwLjE2OTY0ODY2MTY.*_ga_NY8L5SJPMB*MTY5NjQ5NDIxNi4yLjEuMTY5NjUwMTI0Mi4wLjAuMA..">https://doi.org/10.1016/j.forpol.2023.103075</a></p> <p>This exploratory study sought to understand how to identify and interpret weak signals of change that may have an impact on the forest bioeconomy. An international panel of experts in the forest bioeconomy and in foresight provided their views through a two-stage Real-Time Delphi method which utilized the multiple rounds of traditional Delphi and the instantaneous feedback of the Real-Time Delphi method.</p> <p>The Real-Time Delphi exercise was conducted in two stages through the eDelphi software (edelphi.org); the first stage was focused on <em>Changes</em> and the second on <em>Weak Signals</em>. For the Real-Time Delphi exercise, two expert matrices (forest bioeconomy matrix and futures & foresight matrix) were prepared with the aim of obtaining diverse expertise to participate in the study.</p> <p>The first stage was conducted during a 10-day period in early September 2022 (Sep 5, 2022 – Sep 14, 2022). The second stage was also conducted during a 10-day period later in September 2022 (Sep 21, 2022 – Sep 30, 2022). A total of 11 (6 forest bioeconomy experts and 5 futures research and foresight specialists) participated in both eDelphi stages.</p> <p>This dataset includes: (i) completed Real-Time Delphi stages (including anonymized answers and discussions of 11 participants) (ii) questions for both Real-Time Delphi stages, and (iii) anonymized expert matrices (forest bioeconomy matrix and futures & foresight matrix)</p> <p>For more information, please contact the corresponding author (data controller): Tuomas Mauno (University of Eastern Finland), tuomas.mauno@uef.fi</p>
DARTER: Digital twins for Accessible Real Testing grounds for automotive Engineers and Researchers
<p>The DARTER dataset contains a sample (for now) of driving data (camera, LiDAR, IMU, steering wheel angle, etc.) without labels gathered at AstaZero's test track using the Chalmers ReVeRe lab's SnowFox test vehicle. DARTER stands for Digital twins for Accessible Real Testing grounds for automotive Engineers and Researchers. This research was possible thanks to the funds of a SAFER pre-study grant.</p> <p> </p> <p><strong>About DARTER:</strong></p> <p>Verification and validation (V&V) of Intelligent Transport Solutions and their components in real traffic is difficult (costs, passers-by, etc.) and running tests under all possible conditions (weather, traffic, etc.) is impossible. For these reasons, controlled proving grounds and simulations are being used to safely increase the coverage of V&V. </p> <p>The DARTER project, a SAFER pre-study, addresses two issues connected to these alternatives. On the one hand, the limited access to real proving grounds and their corresponding high-fidelity simulations of academic researchers, key in evaluating the benefits and social and environmental harms that technological advances can pose. On the other hand, the fidelity gap between the virtual and the real world, that prevents the usage of simulations at vehicle integration test level and needs to be understood and measured. </p> <p>SAFER pre-studies https://www.saferresearch.com/content/safer-pre-studies </p>
Day142:"The Real Warrior Nun" Catalina de Erauso
Catalina de Erauso, "La monja Alferez". Donostia - San Sebastian 1598 - Mexico 1650 She fled the convent of Domincas posing as a man to stand out in the conquest of Chile Source: Objaverse 1.0 / Sketchfab
Cata T1, Santa Catalina, Ciudad Real
Modelo fotogramétrico de la muralla Oeste y del osario anexo de la fortaleza de Santa Catalina (Fuenllana, Ciudad Real, Castilla-La Mancha, España). Corresponde a la campaña arqueológica de 2016 realizada por el Proyecto Arqueológico Santa Catalina (IP: Pedro R. Moya-Maleno). La escala del modelo es de 1:20. El modelo fue procesado por Marcos Galeano Prados como práctica del laboratorio del proyecto en la Universidad Complutense de Madrid. Realizado con software libre Blender v. 2.80c. Source: Objaverse 1.0 / Sketchfab
Lienzo Norte, Santa Catalina, Ciudad Real
Modelo fotogramétrico del Lienzo Norte de la fortaleza de Santa Catalina (Fuenllana, Ciudad Real, Castilla-La Mancha, España). Corresponde a la campaña arqueológica de 2016 realizada por el Proyecto Arqueológico Santa Catalina (IP: Pedro R. Moya-Maleno). La escala del modelo es de 1:20. El modelo fue realizado como parte del laboratorio del proyecto en la Universidad Complutense de Madrid por Marcos Galeano Prados. Source: Objaverse 1.0 / Sketchfab
Palazzo Reale / Osservatorio Astronomico Palermo
The Palace of Normans or Royal Palace of Palermo and the astronomical observatory hosted in the oldest part of the palace, the Pisana tower. The palace was built in the 12th century and has been the site of government and power of the Sicily and the southern Italy. Nowaday it hosts the regional Sicilian parliament. The observatory was founded in 1790 by Giuseppe Piazzi which discovered the first asteroid from this site in 1801. The observatory is an active center of astrophysical research in the fields of exoplanets, solar physics, star formation and supernovae explosions. I used RenderDoc and Blender to import the model from Google Maps Source: Objaverse 1.0 / Sketchfab
Proyecto geomático hornos morunos de la Real Fábrica Conde de Aranda de L'Alcora │Castellón │Spain │Europe
<p>Proyecto geomático realizado por ADD 4D para el Ayuntamiento de L'Alcora y financiado por Caixa Rural L'Alcora.</p> <p>Se trata de los hornos morunos de la Real Fábrica datan de 1798-1805, y corresponden a la última ampliación, realizada tras la muerte del X conde de Aranda y el paso de la manufactura al duque de Híjar.</p> <ul> <li>Nube de puntos densa (Cloud Point) GeoRef 145 Millones de puntos (2019-04-HornosRFAProyectTotalNPD</li> <li>Nube de puntos densa (Cloud Point) GeoRef 105 Millones de puntos (2019-04-Hornos6RFANPD)</li> <li>OrtofotoMapa GeoTiff 1,7 mm / Pix (2019AlcoraHornosMorunosOrtoCIndex)</li> <li>ETRS89 / UTM zona 30 (EPSG :: 25830)</li> </ul> <p>Modelo 3D:</p>
Real-World AR101 Market-Supporting Experience Study in Peanut-Allergic Children (RAMSES)
ClinicalTrials.gov study NCT03126227. IPD Sharing: NO. Countries: 2. Publications: 1.
Improving Negative Symptoms of Psychosis In Real-world Environments
ClinicalTrials.gov study NCT02170051. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Study of Real-World Outcomes of People With Crohn's Disease (CD)
ClinicalTrials.gov study NCT05056441. IPD Sharing: YES. Countries: 3. Publications: 1.
Cognitive Behavioral Therapy and Real-Time Pain Management Intervention for Sickle Cell Via Mobile Applications
ClinicalTrials.gov study NCT04419168. IPD Sharing: NO. Countries: 1. Publications: 3.
National Observational Study On The Use Of Inflectra™ An Infliximab Biosimilar In Real Life
ClinicalTrials.gov study NCT02925338. IPD Sharing: NO. Countries: 1. Publications: 2.
ScienceDex guides
Understand access before you commit
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.