127410 results
Contributors: Jonathan Levy
Date: 2019-02-13
... The data contains 30 matrices from 15 participants, with 2 matrices for each participant. Each matrix represents either the hold ('h') or the release ('r') condition. In each matrix you will find 4 dimensions: trials * MEG-sensors * spectral-frequency (40:5:150) * time
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Contributors: Huajun Ming
Date: 2019-02-13
... The Fredlund-Xing (FX) model was chosen to develop the proposed equation. Pictures and parameters-fitting producted by OriginPro. 1. the comparisons between all parameters of the FX model and characteristic of experimental values on the water retention behavior of confined bentonite samples were found. 1.1 because residual suction only influences on correction factor of the FX model, the relationship between correction factor C(ψ) and suction ψ was conducted and shown in Fig.2. 1.2 Fig.3 shows the fitting curve at 20 °C along with the experimental values of saturated water content as a function of dry densities for compacted GMZ01 bentonite. 1.3 Fig.4(a) has given the fitting results along with the experimental values of air-entry values to total void ratios on compacted samples for three popular types of bentonite at the room temperature. 1.4 n_f and m_f influence on SWRCs of the FX model separately. 2. The proposed water retention equation is validated against experimental datum from literatures on three popular types of bentonite (GMZ01 bentonite, FEBEX bentonite, and MX-80 bentonite).
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Contributors: Xin Lu
Date: 2019-02-13
... Videos to accompany Zhou et al 2019. Please see publication for details: Motion Sensing Superpixels (MOSES) is a systematic, computational framework to quantify and discover cellular motion phenotypes Felix Y. Zhou, Carlos Ruiz-Puig, Richard P. Owen, Michael J. White, Jens Rittscher, Xin Lu eLife 2019
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Contributors: Behnam Malmir, Mahdi Malakoutikhah, Amir Barkhordari
Date: 2019-02-12
... The obtained through questionnaires provided for the subjects (people who have experienced occupational accidents and those who have not but still work in the steel production industry) in order to the analysis of individual and social factors affecting the accidents.
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Contributors: Seyed Omid Razavi Zadeh, Behrouz Bahadormanesh, Mohammad Ghorbani, Abdolreza (Arash) Simchi
Date: 2019-02-12
... Raw data for Effect of photoelectrochemical activity of ZnO-GO thin film on the corrosion of carbon steel and 304 stainless steel
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Contributors: muqin li, Jingyan Wang, Biao Tang, Qinwen Tian, Shuhao Peng, Songge Wang
Date: 2019-02-12
... The data cantains Surface morphologies of coatings，XPS data，FTIR spectra data and corrosion behavior data.
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Contributors: Lindsay Beazley, Javier Guijarro-Sabaniel, Camille Lirette, Zeliang Wang, Ellen Kenchington
Date: 2019-02-12
... Species distribution modelling (SDM) is a tool that utilizes the relationship between a species and its environment in known (sampled) locations to predict the species’ distribution in unsampled areas. Environmental data are typically collected at different spatial and temporal scales and often require spatial interpolation between data points to provide a continuous surface required by the modelling application. Here we provide detailed information on 111 environmental data layers collected over different spatial scales and temporal resolutions and interpolated using a geospatial method to provide continuous data surfaces for the Eastern Canadian Arctic and Sub-Arctic. Variables were obtained from a broad range of physical and biological data sources and spatially interpolated using ordinary kriging. For each environmental variable we show the distributional properties of the raw data prior to spatial interpolation, model performance indicators and assessment of model performance, and finally, maps of the prediction standard error and interpolation prediction surfaces. These layers have been archived in a common (raster) format at the Bedford Institute of Oceanography to facilitate future use. A subset of these variables has already been used in a conservation management application to identify deep-water coral and sponge Significant Benthic Areas in the Eastern Canadian Arctic.
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Contributors: Judith Covey, Fentiny Nugroho, Ryoichi Ogawa, Aurora Armienta, Lena Dominelli, Claire Horwell, Ana Lilian Martin-del Pozzo, Laksmi Rachmawati
Date: 2019-02-12
... SPSS data file
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Contributors: Tony Lambert, Tanvi Sharma, Nathan Ryckman
Date: 2019-02-12
... These are the raw data for this study: Many accidents, such as those involving collisions or trips, appear to involve failures of vision; but the association between accident risk and vision as conventionally assessed, is weak or absent. We addressed this conundrum by embracing the distinction inspired by neuroscientific research, between vision for perception and vision for action. A dual-process perspective predicts that accident vulnerability will be associated more strongly with vision for action than vision for perception. Older and younger adults, with relatively high and relatively low self-reported accident vulnerability (Accident Proneness Questionnaire), completed three behavioural assessments targeting: vision for perception (Freiburg Visual Acuity Test); vision for action (Vision for Action Test - VAT); and the ability to perform physical actions involving balance, walking and standing (Short Physical Performance Battery). Accident vulnerability was not associated with visual acuity or with performance of physical actions; but was associated with VAT performance. VAT assesses the ability to link visual input with a specific action –launching a saccadic eye movement as rapidly as possible, in response to shapes presented in peripheral vision. The predictive relationship between VAT performance and accident vulnerability was independent of age, visual acuity and physical performance scores. Applied implications of these findings are considered.
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Contributors: Florian Baumann
Date: 2019-02-11
... Data obtained from laboratory experiment described in the article Loss-induced emotions and criminal behavior
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