Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
17
datasets available to search
ShareScore release 0.9.0
Dataset results
17 results for “BEM”
O bem-assessorado: o caso da cidade de Sucupira
<p>AMARAL, A. R.; SOUZA, A. J. I. de; OLIVEIRA, D. C. F.; ARAÚJO, H. T. O bem-assessorado: o caso da cidade de Sucupira. <strong>Revista Tecnológica de Administração</strong>, Rio de Janeiro, v. 1, n. 2, p. 185-195, 2024. https://doi.org/10.12660/reta.v1n2.2024.91570</p>
Output of WRF BEP+BEM model and Pseudo Global Warming composites
<p>Output for the submitted article "Assessing the intensity of heatwaves in a warming climate at the urban scale: A case study of the Metropolitan Area of Barcelona"</p> <p>Sergi Ventura1, JR Miro2, Ricard Segura-Barrero1, Fei Chen3, Alberto Martilli4, Changhai Liu5, Kyoko Ikeda5, Gara Villalba1,6,*</p> <p><br>1 Sostenipra Research Group (SGR 01412), Institute of Environmental Sciences and Technology (MDM-2015-0552), Z Building, Universitat Autònoma de Barcelona (UAB), Campus UAB, 08193 Bellaterra, Barcelona, Spain<br>2 Department of Territory and Sustainability, Meteorological Service of Catalonia, Generalitat de Catalunya, Barcelona, Spain<br>3 Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong, China<br>4 Research Center for Energy, Environment and Technology, CIEMAT, Madrid, Spain<br>5 National Center for Atmospheric Research, Boulder, CO 80301, USA<br>6 Department of Chemical, Biological and Environmental Engineering, Universitat Autònoma de Barcelona (UAB), Campus UAB, 08193 Bellaterra, Barcelona, Spain</p> <p><br>* Corresponding author: gara.villalba@uab.cat</p> <p>All rights lie with the authors.</p> <p> </p> <p>We use WRF BEP+BEM to investigate the sensitivity of multiple heat wave periods to climate change under the SSP370 scenario. The simulations show mean temperature increases of 2.5 ºC by the mid-21st-century and 4.2 ºC by the end of the century in the Metropolitan Area of Barcelona, a Mediterranean region in northeastern Spain.</p> <p>This Zenodo repository contains the following:</p> <ul> <li> <p><strong>met_em initial and boundary conditions for the Metropolitan Area of Barcelona</strong>:<br><code>met_em</code> files including the initial and boundary conditions used for modeling a historical heatwave (2020), as well as projected PGW-MID (2070) and PGW-END (2100) periods.</p> </li> <li> <p><strong>wrfout_d03, model output</strong>:<br>WRF output at 1 km resolution for the Metropolitan Area of Barcelona on <strong>August 1st, 2020</strong> (a historical heatwave day), representing the historical, mid-century (2070), and end-of-century (2100) periods.</p> </li> <li> <p><strong>PGW composites</strong>:<br>NetCDF-format plots of <strong>relative humidity (RH)</strong> and <strong>temperature (T)</strong> maximum and minimum values. These are provided for the historical control period (CTL), mid-century (MID), and end-of-century (END), across the four analyzed synoptic weather patterns (SS, SA, DA, and DAU).</p> </li> </ul> <p> </p> <p> </p>
Concepção geral da educação de bebês e crianças bem pequenas é tema de pesquisa na UFSCar
<p>Raiza Fernandes Bessa de Oliveira, doutoranda pelo Programa de Pós-Graduação em Educação da Universidade Federal de São Carlos, (PPGE - UFSCar), fala de sua pesquisa concepções sobre docência com bebês e crianças bem pequenas a partir das narrativas de professoras de Educação Infantil, se desdobrando em contextos da educação infantil do Brasil e sistema integrado de educação da Itália sem objetivo de comparação, mas de diálogo.</p> <p>Lattes: http://lattes.cnpq.br/1894920012254605</p> <p>CLICK CIÊNCIA Projeto de divulgação e popularização da Ciência produzido pelo Laboratório Aberto de Interatividade para Disseminação do Conhecimento Científico e Tecnológico da Universidade Federal de São Carlos (LAbI - UFSCar).</p> <p>Concepção geral da educação de bebês e crianças bem pequenas é tema de pesquisa na UFSCar de <a href="https://youtu.be/eddEyODpCdc">https://youtu.be/eddEyODpCdc</a> está licenciado com uma Licença <a href="http://creativecommons.org/licenses/by-nc-nd/4.0/">Creative Commons - Atribuição-NãoComercial-SemDerivações 4.0 Internacional</a>. Podem estar disponíveis autorizações adicionais às concedidas no âmbito desta licença em <a href="https://www.labi.ufscar.br/">https://www.labi.ufscar.br/</a>.</p>
NEECK Validation: Acoustic Measurements and BEM Simulations
<p>This repository contains the supporting data for the paper entitled "Acoustic Validation of a BEM-Suitable 3D Mesh Model of KEMAR'', K. Young, G. Kearney, and A. I. Tew, at the 2018 AES International Conference on Spatial Reproduction - Aesthetics and Science, Tokyo. Available at: http://www.aes.org/e-lib/browse.cfm?elib=19662. Please cite both the paper and dataset if used.</p> <p>Note: the azimuth angle system used in this work increments positively in the left direction, such that 90° is on the left and 270° is on the right. In elevation, -90° is below, +90° is above. </p> <p>---</p> <p>The data is organised as follows:</p> <p>- NEECK_HRIR_measured.sofa<br> (SOFA file (SimpleFreeFieldHRIR) containing the 185 acoustically measured HRIRs for the Neck-Extended Easily Computable KEMAR (NEECK))<br> - NEECK_HRTF_simulated.sofa<br> (SOFA file (SimpleFreeFieldTF) containing the 10,205 simulated HRTFs for the Neck-Extended Easily Computable KEMAR (NEECK))<br> - AdditionalData<br> (Zip folder containing data processed during the analysis stages)<br> - averageResponse_measured.mat<br> (mat file containing the average IR responses, corresponding inverse filters and inverse filter generation parameters)<br> - averageResponse_simulated.mat<br> (mat file containing the average TF responses in linear scale)<br> - measuredData.mat<br> (mat file containing the following data:)<br> - IRs<br> (Measured impulse responses as in SOFA file. Dimensions: M1xRxN1)<br> - IRs_DTF<br> (Impulse responses after application of average response inverse filter. Dimensions: M1xRxN1)<br> - HRTFs<br> (HRTF magnitudes in linear scale. Dimensions: M1xRxN1)<br> - HRTFs_dB<br> (As above in decibel scale. Dimensions: M1xRxN1)<br> - DTFs<br> (DTF magnitudes in linear scale - after application of average response inverse filter. Dimensions: M1xRxN1)<br> - DTFs_dB<br> (As above in decibel scale. Dimensions: M1xRxN1)<br> - measFs<br> (sampling rate of measured responses: Dimensions: 1x1)<br> - allSourcePositions_measured<br> (measured source positions in spherical coordinates (azimuth, elevation, radius). Units: degrees, degrees, metres. Dimensions: M1x3)<br> - simulatedData.mat<br> (mat file containing the following data:<br> - IRs<br> (Impluse responses generated from the simulated HRTF data. Dimensions: M2xRxN2)<br> - HRTFs_complex<br> (Complex simulated HRTF data. Dimensions: M2xRxN3)<br> - HRTFs_mag_dB<br> (Magnitudes of simulated HRTF data in decibel scale. Dimensions: M2xRxN3)<br> - DTFs_mag_lin<br> (Magnitudes of directional transfer function (DTF) data in linear scale. Dimensions: M2xRxN3)<br> - DTFs_mag_dB<br> (As above in decibel scale. Dimensions: M2xRxN3)<br> - simFs<br> (sampling rate of generated impulse responses. Dimensions: 1x1)<br> - allSourcePositions_simulated<br> (simulated source positions in spherical coordinates (azimuth, elevation, radius). units: degrees, degrees, metres. Dimensions: M2x3)<br> - frequencies<br> (frequencies used in the simulation. Dimensions: N3x1)<br> - license.mat<br> (mat file containing licensing information)<br> - License.txt<br> (Text file detailing the license under which this data is published.)</p> <p>For enquiries regarding the data in a different format, please email kaey500@york.ac.uk. <br> ---</p> <p>Data Dimensions:</p> <p>M1 = number of measured source positions, in this case 185<br> M2 = number of simulated source positions, in this case 10,205<br> R = number of channels, in this case 2, where 1 and 2 correspond to left and right respectively<br> N1 = number of samples in measured impulse responses, in this case 1024<br> N2 = number of samples in generated impulse responses, in this case (number of samples in HRTF*2)+2 = 400<br> N3 = number of samples in simulated transfer functions, in this case, the number of frequency points, 199</p> <p>---</p> <p>This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), with no warranty; or the implied warranty of merchantability or fitness for a particular problem.</p> <p>---</p> <p>Data produced by Kat Young at the AudioLab, Dept. of Electronic Engineering, University of York.<br> Contact: kaey500@york.ac.uk</p>
Data for An alternative BEM of modeling in Wrr
<p>The data was used for the paper named "<strong>An alternative BEM of modeling </strong><strong>flow behavior of discretely and continuously fractured reservoir by use of a semi-analytical approach" which may be published in Water resources research.</strong></p>
REVOLUCIONANDO O TRABALHO: COMO O TELETRABALHO IMPULSIONA A PRODUTIVIDADE E TRANSFORMA A SAÚDE E O BEM-ESTAR
<p>O objetivo deste artigo é ilustrar, por meio de uma análise bibliográfica, as dificuldades e vantagens associadas ao desenvolvimento de atividades realizadas remotamente pelo Setor Público. O teletrabalho tornou-se nos ultimos anos uma força influente nas empresas, redefinindo a forma como as instituições públicas e comerciais funcionam e respondem às exigências da era digital. O teletrabalho, muitas vezes conhecido como trabalho remoto, é a atividade de execução de tarefas e responsabilidades profissionais fora do ambiente típico de trabalho. Este estudo mostra como o teletrabalho se apresenta como uma possível alternativa para resolver os problemas enfrentados por este setor de vital importância, particularmente no contexto do sistema público, onde a produtividade e a eficiência são essenciais para a prestação de serviços competentes.</p>
Supplementary material 1 from: Barboza GE, de Bem Bianchetti L, Stehmann JR (2020) Capsicum carassense (Solanaceae), a new species from the Brazilian Atlantic Forest. PhytoKeys 140: 125-138. https://doi.org/10.3897/phytokeys.140.47071
: Data type: CSV file
Figure 3 from: Barboza GE, de Bem Bianchetti L, Stehmann JR (2020) Capsicum carassense (Solanaceae), a new species from the Brazilian Atlantic Forest. PhytoKeys 140: 125-138. https://doi.org/10.3897/phytokeys.140.47071
Figure 3 Map showing the distribution of Capsicum carassense (triangle) and C. mirabile (square) in south-eastern Brazil. Colour map was reproduced and adapted from Google Earth Pro. Abbreviations. MG, Minas Gerais; ES, Espirito Santo; RJ, Rio de Janeiro; SP, São Paulo.
Figure 2 from: Barboza GE, de Bem Bianchetti L, Stehmann JR (2020) Capsicum carassense (Solanaceae), a new species from the Brazilian Atlantic Forest. PhytoKeys 140: 125-138. https://doi.org/10.3897/phytokeys.140.47071
Figure 2 Capsicum carassense Barboza & Bianchetti A habit, showing the typical lanceolate leaves B inflorescence with geniculate pedicels C flower, in frontal view D globose-depressed fruit A–C from Stehmann 6347 D from Agra 7268. Photos by J.R. Stehmann. Scale bars: 2 cm (A); 1 cm (B); 5 mm (C–D).
Figure 1 from: Barboza GE, de Bem Bianchetti L, Stehmann JR (2020) Capsicum carassense (Solanaceae), a new species from the Brazilian Atlantic Forest. PhytoKeys 140: 125-138. https://doi.org/10.3897/phytokeys.140.47071
Figure 1 Capsicum carassense Barboza & Bianchetti A flowering branch B–D leaf morphology E eglandular trichome of the stem F glandular trichome of the calyx G, H flower buds in different stages of development I flower in anthesis (note the geniculate pedicel) J opened corolla K fruit L fruiting calyx A–K from Bianchetti et al. 1364. Drawn by L. Bianchetti.
Dataset Komentar Terhadap Postingan Terkait Pembekuan BEM FISIP UNAIR di Instagram
Open the record for dataset details and reuse information.
Supplementary material 1 from: Beentjes KK, Speksnijder AGCL, Schilthuizen M, Schaub BEM, van der Hoorn BB (2018) The influence of macroinvertebrate abundance on the assessment of freshwater quality in The Netherlands. Metabarcoding and Metagenomics 2: e26744. https://doi.org/10.3897/mbmg.2.26744
Monitoring event details and EQR scores :
A Phase 2, Safety and Efficacy of Bemnifosbuvir (BEM) and Ruzasvir (RZR) in Subjects With Chronic HCV
ClinicalTrials.gov study NCT05904470. IPD Sharing: Not stated. Countries: 12. Publications: 0.
Cavitaion vs W-BEMS on Central Obesity
ClinicalTrials.gov study NCT07307898. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Behaviorally Enhanced Messages to Increase Medical Check-ups(BEM-IMC)
ClinicalTrials.gov study NCT04324723. IPD Sharing: NO. Countries: 1. Publications: 0.
Forward Matrices and BEM Solution for Dipole Simulator
<p>Data files for our interactive <a href="https://github.com/hoechenberger/dipoles_demo">dipole similator</a>.</p>
A dataset simulated by WRF-CM-BEM
<p>A dataset simulated by a regional climate model coupled with an urban canopy model and building energy model (WRF–CM–BEM). The study area was the Tokyo Metropolitan Area, Japan and the simulation period was summertime in 2017 (from 00UTC 25 June to 00UTC 01 September). This dataset includes model output (electricity consumption (EC) and near-surface air temperature) and model grid information (e.g., longitude, latitude, and land-use index) as netCDF files. There are two files: an improvement case (CASEnew.nc) and another case without improvements (CASEold.nc).</p>
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.