cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1546766
title: Ecology Introductory Lab

description: This experiment was conducted to determine the correlation between the type of cell phone owned by different genders and their service provider. The group members collected information from various individuals in the lab room. The experiment was conducted over a 20 minutes time period on York University in Lumbers Building room 118 on September 17th, 2015. Sample Size: 20 Members: Saraswatie, Eman, Bava, Azeb
DOI: 10.6084/m9.figshare.1546771.v1
title: Gender vs. Colour

description: Group members: Amrutha Balamurugan, Harshvir Hehar, Olivia Kazmierczak, Adilah Ismail. The study was done at York University, Lumber room 118. The study was conducted on 20 individuals in the Ecology lab. The students in the lab were surveyed on their gender corresponding to their shirt colour and phone case colour, The purpose of this study was to view the most dominant shirt colour among different genders corresponding to their phone case colour.
DOI: 10.6084/m9.figshare.1546766.v1
title: Ecology Introductory Lab

description: This experiment was conducted to determine the correlation between the type of cell phone owned by different genders and their service provider. The group members collected information from various individuals in the lab room. The experiment was conducted over a 20 minutes time period on York University in Lumbers Building room 118 on September 17th, 2015. Sample Size: 20 Members: Saraswatie, Eman, Bava, Azeb
DOI: 10.6084/m9.figshare.1546765
title: Ecology Lab One

description: Authors: Kamil Adamczewski, Joelle Brooker, Brittney Jorisch, Karin Yosefi Students in ecology lab were surveyed regarding their sex, whether they require optical lenses, and whether they completed or are completing a university statistics course in order to determine the relationship between these three variables, n=21. Survey was conducted in Lumbers lab 118.
DOI: 10.6084/m9.figshare.1546770.v1
title: The affect of Age and Gender on Favorite Color

description: Sept 17, 2015 at 3pm Alexander Karakatsanis, Amandeep Bains, Stephanie Achaiya and Vivian conducted a survey in Lab 118. The purpose was to see if age and gender affected fellow labmates favorite color.
DOI: 10.6084/m9.figshare.1546753
title: 8.9 mT MRI acquisition - 3D K-space complex-valued data

description: Data are relative to:<br>- Data_Phantom_1mm_646464_NEXxx.mat<br>Phantom, 1 mm resolution, 32x32x64 acq, Te=19 ms, Tr=500 ms, NEX=1 - 37<br>- Data_Phantom_3mm_323232_NEXxx.mat<br>Phantom, 3 mm resolution, 32x32x32 acq, Te=19 ms, Tr=500 ms, NEX=1 - 11<br>- Data_Rabbit_3mm_tr500_323232_NEX16<br>Rabbit head, 3mm resolution, 32x32x32 acq, Te=19 ms, Tr=500 ms, NEX=16 To reconstruct and view the images run the MATLAB script Data_To_Images.m<br>and select the data file of interest
DOI: 10.6084/m9.figshare.1546752
title: Annual Average Pollution in the US

description: <strong>This dataset is used in Course 4 - Exploratory Graphs lesson of the Data Science Specialization from Johns Hopkins Bloomberg School of Public Health at Coursera.</strong> Annual average PM2.5 averaged over the period 2008 through 2010 in the USA. Data provided by the U.S. Environmental Protection Agency (EPA).
DOI: 10.6084/m9.figshare.1546765.v1
title: Ecology Lab One

description: Authors: Kamil Adamczewski, Joelle Brooker, Brittney Jorisch, Karin Yosefi Students in ecology lab were surveyed regarding their sex, whether they require optical lenses, and whether they completed or are completing a university statistics course in order to determine the relationship between these three variables, n=21. Survey was conducted in Lumbers lab 118.
DOI: 10.6084/m9.figshare.1546753.v1
title: 8.9 mT MRI acquisition - 3D K-space complex-valued data

description: Data are relative to:<br>- Data_Phantom_1mm_646464_NEXxx.mat<br>Phantom, 1 mm resolution, 32x32x64 acq, Te=19 ms, Tr=500 ms, NEX=1 - 37<br>- Data_Phantom_3mm_323232_NEXxx.mat<br>Phantom, 3 mm resolution, 32x32x32 acq, Te=19 ms, Tr=500 ms, NEX=1 - 11<br>- Data_Rabbit_3mm_tr500_323232_NEX16<br>Rabbit head, 3mm resolution, 32x32x32 acq, Te=19 ms, Tr=500 ms, NEX=16 To reconstruct and view the images run the MATLAB script Data_To_Images.m<br>and select the data file of interest
DOI: 10.6084/m9.figshare.1546763.v1
title: Lab 1 - ecology

description: Darn it, Christine<br><br><br><br>
DOI: 10.6084/m9.figshare.1546772.v3
title: DFT dilute solute diffusion in Al, Cu, Ni, Pd, Pt, Mg, Fe, W, Mo, Au, Ca, Ir, and Pb

description: A total of more than 350 dilute solute diffusion systems in FCC, BCC, and HCP host lattices (Al, Cu, Ni, Pd, Pt, Mg, Fe, W, Mo, Au, Ca, Ir, and Pb) have been determined using density functional theory (DFT) calculations and multi-frequency diffusion models. This dataset include the jump barriers and attempt frequencies for each solute as well as final Arrhenius diffusion constant, D0, and diffusion activation barrier, Q.
DOI: 10.6084/m9.figshare.1546765.v3
title: Ecology Lab One

description: Authors: Kamil Adamczewski, Joelle Brooker, Brittney Jorisch, Karin Yosefi Students in ecology lab were surveyed regarding their sex, whether they require optical lenses, and whether they completed or are completing a university statistics course in order to determine the relationship between these three variables, n=21. Survey was conducted in Lumbers lab 118.
DOI: 10.6084/m9.figshare.1546584
title: OERRH Survey Data 2013-2015 xlsx

description: xcel file containing responses to surveys conducted by the Hewlett-funded OER Research Hub Project during 2013-2015 exploring key questions around OER use and attitudes. .csv file available at http://figshare.com/articles/OERRH_Survey_Data_2013_2015/1528263You can read about the creation of the file at http://oerhub.net/blogs/cleaning-our-way-to-a-monster-dataset/ and the background of the project at http://oerhub.net/what-we-do/background-to-oer-hub/<br>
DOI: 10.6084/m9.figshare.1546747
title: Data and stimuli for "Dot comparison stimuli are not all alike: The effect of different visual controls on ANS measurement"

description: This is the full data set and stimuli for Clayton, S., Gilmore, C., & Inglis, M. (in press). Dot comparison stimuli are not all alike: The effect of different visual controls on ANS measurement. Acta Psychologica. The excel columns in the data file refer to the following: Participant: Participant identifier number Trialorder: The order the trials were presented for each participant (random order) Accuracy: 1= correct, 0 = incorrect Response time: Response time in milliseconds ImageFile: The file name of the dot array image GebuisImageType: This is the category of the trial in terms of convex hull congruency and cumulative surface area congruency, as generated by the Gebuis & Reynvoet (2011) script. 1 & 8= Convex hull congruent, cumulative surface area congruent; 2 & 7= Convex hull incongruent, cumulative surface area incongruent; 3 & 6= Convex hull congruent, cumulative surface area incongruent; 4 & 5= Convex hull incongruent, cumulative surface area congruent. TrialNumber: The number of the trial (not in order of presentation) Procotol: The method used to generate the dots. Gebuis= Gebuis, T., & Reynvoet, B. (2011). Generating nonsymbolic number stimuli. Behavior Research Methods, 43, 981–986, Panamath= Panamath software, Halberda, J., Mazzocco, M., & Feigenson, L. (2008). Individual differences in nonverbal number acuity predict maths achievement. Nature, 455, 665-668. Time: Participants completed each trial twice. Time1= first presentation of trials, Time2= second presentation of trials. Numerosity1_Left: The number of dots in the left array. Numerosuty2_Right: The number of dots in the right array. Left:RightNumerosity: The ratio between the number of dots in each of the arrays in each trial (number of dots on the left / number of dots on the right) ConvexHull1_Left: The size of the convex hull of the left array. ConvexHull2_Right: The size of the convex hull of the right array, Left:RightConvexHull: The ratio between the convex hull of arrays in each trial (size of left convex hull / size of right convex hull) pixels1_Left: The number of pixels in the left array. pixels2_Right: The number of pixels in the right array. Left:RightPixels: The ratio between the number of pixels in each of the arrays in each trial (number of pixels in left array / number of pixels in right array). Dot size1_Left: Average size of dots in the left array (pixels / numerosity) Dotsize2_Right: Average size of dots in the right array (pixels / numerosity) Left:RightDotSize: The ratio between the average size of the dots in each array in each trial (avergae dot size of left array / average dot size of right array).
DOI: 10.6084/m9.figshare.1546765.v2
title: Ecology Lab One

description: Authors: Kamil Adamczewski, Joelle Brooker, Brittney Jorisch, Karin Yosefi Students in ecology lab were surveyed regarding their sex, whether they require optical lenses, and whether they completed or are completing a university statistics course in order to determine the relationship between these three variables, n=21. Survey was conducted in Lumbers lab 118.
DOI: 10.6084/m9.figshare.1546772.v4
title: DFT dilute solute diffusion in Al, Cu, Ni, Pd, Pt, Mg, Fe, W, Mo, Au, Ca, Ir, and Pb

description: A total of more than 350 dilute solute diffusion systems in FCC, BCC, and HCP host lattices (Al, Cu, Ni, Pd, Pt, Mg, Fe, W, Mo, Au, Ca, Ir, and Pb) have been determined using density functional theory (DFT) calculations and multi-frequency diffusion models. This dataset include the jump barriers and attempt frequencies for each solute as well as final Arrhenius diffusion constant, D0, and diffusion activation barrier, Q.
DOI: 10.6084/m9.figshare.1546583
title: Full Data set for "Dot comparison stimuli are not all alike: The effect of different visual controls on ANS measurement"

description: This is the full data set for Clayton, S., Gilmore, C., & Inglis, M. (in press). Dot comparison stimuli are not all alike: The effect of different visual controls on ANS measurement. <em>Acta Psychologica. </em> <em><br></em> The excel columns refer to the following: Participant: Participant identifier number Trialorder: The order the trials were presented for each participant (random order) Accuracy: 1= correct, 0 = incorrect Response time: Response time in milliseconds ImageFile: The file name of the dot array image GebuisImageType: This is the category of the trial in terms of convex hull congruency and cumulative surface area congruency, as generated by the Gebuis & Reynvoet (2011) script. 1 & 8= Convex hull congruent, cumulative surface area congruent; 2 & 7= Convex hull incongruent, cumulative surface area incongruent; 3 & 6= Convex hull congruent, cumulative surface area incongruent; 4 & 5= Convex hull incongruent, cumulative surface area congruent. TrialNumber: The number of the trial (not in order of presentation) Procotol: The method used to generate the dots. Gebuis= Gebuis, T., & Reynvoet, B. (2011). Generating nonsymbolic number stimuli. Behavior Research Methods, 43, 981–986, Panamath= Panamath software, Halberda, J., Mazzocco, M., & Feigenson, L. (2008). Individual differences in nonverbal number acuity predict maths achievement. Nature, 455, 665-668. Time: Participants completed each trial twice. Time1= first presentation of trials, Time2= second presentation of trials. Numerosity1_Left: The number of dots in the left array. Numerosuty2_Right: The number of dots in the right array. Left:RightNumerosity: The ratio between the number of dots in each of the arrays in each trial (number of dots on the left / number of dots on the right) ConvexHull1_Left: The size of the convex hull of the left array. ConvexHull2_Right: The size of the convex hull of the right array, Left:RightConvexHull: The ratio between the convex hull of arrays in each trial (size of left convex hull / size of right convex hull) pixels1_Left: The number of pixels in the left array. pixels2_Right: The number of pixels in the right array. Left:RightPixels: The ratio between the number of pixels in each of the arrays in each trial (number of pixels in left array / number of pixels in right array). Dot size1_Left: Average size of dots in the left array (pixels / numerosity) Dotsize2_Right: Average size of dots in the right array (pixels / numerosity) Left:RightDotSize: The ratio between the average size of the dots in each array in each trial (avergae dot size of left array / average dot size of right array).
DOI: 10.6084/m9.figshare.1546584.v1
title: OERRH Survey Data 2013-2015

description: xcel file containing responses to surveys conducted by the Hewlett-funded OER Research Hub Project during 2013-2015 exploring key questions around OER use and attitudes. .csv file available at http://figshare.com/articles/OERRH_Survey_Data_2013_2015/1528263
DOI: 10.6084/m9.figshare.1546480
title: Is the promotion of research reflected in bibliometric data? A network analysis of highly cited papers on the Clusters of Excellence supported under the Excellence Initiative in Germany

description: Under the Excellence Initiative, a number of Clusters of Excellence in Germany have been supported since 2006 and 2007 – including each a limited number of cooperating institutions. The aim of the present study is to investigate whether support for Clusters of Excellence since 2006 and 2007 is reflected in bibliometric network data. For this purpose, a comparison is made between network data in the period before support started (2003 to 2005) and in the period after support started (2009 to 2011). For these two periods, a co-authorship network is generated (based on the funded institutions). This is based on publications which are among the 1% most frequently cited publications in their respective fields and publication year and which have at least one author from Germany. As the results show, the outcomes this yields for life sciences and natural sciences differ from each other. Whereas natural sciences display an effect of establishment of Clusters of Excellence on the bibliometric networks, this was not true of life sciences. After establishment of the Clusters of Excellence, the network in natural sciences not only contained more institutions of a Cluster of Excellence, but these institutions were distributed across fewer bibliometric clusters in the network than before establishment. In other words the structure of the Clusters of Excellence was better reflected in the network.
DOI: 10.6084/m9.figshare.1546583.v1
title: Full Data set for "Dot comparison stimuli are not all alike: The effect of different visual controls on ANS measurement"

description: This is the full data set for Clayton, S., Gilmore, C., & Inglis, M. (in press). Dot comparison stimuli are not all alike: The effect of different visual controls on ANS measurement. <em>Acta Psychologica. </em> <em><br></em> The excel columns refer to the following: Participant: Participant identifier number Trialorder: The order the trials were presented for each participant (random order) Accuracy: 1= correct, 0 = incorrect Response time: Response time in milliseconds ImageFile: The file name of the dot array image GebuisImageType: This is the category of the trial in terms of convex hull congruency and cumulative surface area congruency, as generated by the Gebuis & Reynvoet (2011) script. 1 & 8= Convex hull congruent, cumulative surface area congruent; 2 & 7= Convex hull incongruent, cumulative surface area incongruent; 3 & 6= Convex hull congruent, cumulative surface area incongruent; 4 & 5= Convex hull incongruent, cumulative surface area congruent. TrialNumber: The number of the trial (not in order of presentation) Procotol: The method used to generate the dots. Gebuis= Gebuis, T., & Reynvoet, B. (2011). Generating nonsymbolic number stimuli. Behavior Research Methods, 43, 981–986, Panamath= Panamath software, Halberda, J., Mazzocco, M., & Feigenson, L. (2008). Individual differences in nonverbal number acuity predict maths achievement. Nature, 455, 665-668. Time: Participants completed each trial twice. Time1= first presentation of trials, Time2= second presentation of trials. Numerosity1_Left: The number of dots in the left array. Numerosuty2_Right: The number of dots in the right array. Left:RightNumerosity: The ratio between the number of dots in each of the arrays in each trial (number of dots on the left / number of dots on the right) ConvexHull1_Left: The size of the convex hull of the left array. ConvexHull2_Right: The size of the convex hull of the right array, Left:RightConvexHull: The ratio between the convex hull of arrays in each trial (size of left convex hull / size of right convex hull) pixels1_Left: The number of pixels in the left array. pixels2_Right: The number of pixels in the right array. Left:RightPixels: The ratio between the number of pixels in each of the arrays in each trial (number of pixels in left array / number of pixels in right array). Dot size1_Left: Average size of dots in the left array (pixels / numerosity) Dotsize2_Right: Average size of dots in the right array (pixels / numerosity) Left:RightDotSize: The ratio between the average size of the dots in each array in each trial (avergae dot size of left array / average dot size of right array).
DOI: 10.6084/m9.figshare.1546772.v5
title: DFT dilute solute diffusion in Al, Cu, Ni, Pd, Pt, Mg, Fe, W, Mo, Au, Ca, Ir, and Pb

description: A total of more than 350 dilute solute diffusion systems in FCC, BCC, and HCP host lattices (Al, Cu, Ni, Pd, Pt, Mg, Fe, W, Mo, Au, Ca, Ir, and Pb) have been determined using density functional theory (DFT) calculations and multi-frequency diffusion models. This dataset include the jump barriers and attempt frequencies for each solute as well as final Arrhenius diffusion constant, D0, and diffusion activation barrier, Q.
DOI: 10.6084/m9.figshare.1546447
title: Participate in the Open Data Index Census 2015

description: This is a brief introduction to the Open Data Index, showing off the 2014 results and pointing to how to participate in the 2015 census. It was presented to Open Data Hong Kong in September 2015. It focuses on Hong Kong's submission.
DOI: 10.6084/m9.figshare.1546480.v2
title: Is the promotion of research reflected in bibliometric data? A network analysis of highly cited papers on the Clusters of Excellence supported under the Excellence Initiative in Germany

description: Under the Excellence Initiative, a number of Clusters of Excellence in Germany have been supported since 2006 and 2007 – including each a limited number of cooperating institutions. The aim of the present study is to investigate whether support for Clusters of Excellence since 2006 and 2007 is reflected in bibliometric network data. For this purpose, a comparison is made between network data in the period before support started (2003 to 2005) and in the period after support started (2009 to 2011). For these two periods, a co-authorship network is generated (based on the funded institutions). This is based on publications which are among the 1% most frequently cited publications in their respective fields and publication year and which have at least one author from Germany. As the results show, the outcomes this yields for life sciences and natural sciences differ from each other. Whereas natural sciences display an effect of establishment of Clusters of Excellence on the bibliometric networks, this was not true of life sciences. After establishment of the Clusters of Excellence, the network in natural sciences not only contained more institutions of a Cluster of Excellence, but these institutions were distributed across fewer bibliometric clusters in the network than before establishment. In other words the structure of the Clusters of Excellence was better reflected in the network.
DOI: 10.6084/m9.figshare.1546447.v1
title: Participate in the Open Data Index Census 2015

description: This is a brief introduction to the Open Data Index, showing off the 2014 results and pointing to how to participate in the 2015 census. It was presented to Open Data Hong Kong in September 2015. It focuses on Hong Kong's submission.
DOI: 10.6084/m9.figshare.1546480.v1
title: Is the promotion of research reflected in bibliometric data? A network analysis of highly cited papers on the Clusters of Excellence supported under the Excellence Initiative in Germany

description: Under the Excellence Initiative, a number of Clusters of Excellence in Germany have been supported since 2006 and 2007 – including each a limited number of cooperating institutions. The aim of the present study is to investigate whether support for Clusters of Excellence since 2006 and 2007 is reflected in bibliometric network data. For this purpose, a comparison is made between network data in the period before support started (2003 to 2005) and in the period after support started (2009 to 2011). For these two periods, a co-authorship network is generated (based on the funded institutions). This is based on publications which are among the 1% most frequently cited publications in their respective fields and publication year and which have at least one author from Germany. As the results show, the outcomes this yields for life sciences and natural sciences differ from each other. Whereas natural sciences display an effect of establishment of Clusters of Excellence on the bibliometric networks, this was not true of life sciences. After establishment of the Clusters of Excellence, the network in natural sciences not only contained more institutions of a Cluster of Excellence, but these institutions were distributed across fewer bibliometric clusters in the network than before establishment. In other words the structure of the Clusters of Excellence was better reflected in the network.
DOI: 10.6084/m9.figshare.1546772.v6
title: DFT dilute solute diffusion in Al, Cu, Ni, Pd, Pt, Mg, Fe, W, Mo, Au, Ca, Ir, Pb, and Ag

description: A total of more than 360 dilute solute diffusion systems in FCC, BCC, and HCP host lattices (Al, Cu, Ni, Pd, Pt, Mg, Fe, W, Mo, Au, Ca, Ir, Pb, and Ag) have been determined using density functional theory (DFT) calculations and multi-frequency diffusion models. This dataset include the jump barriers and attempt frequencies for each solute as well as final Arrhenius diffusion constant, D0, and diffusion activation barrier, Q.
DOI: 10.6084/m9.figshare.1546440
title: Gender relats to the sleeve lengh

description: The relationship between gender and the lengh of the sleeve. The sample were taken randomly seen by observers inside and outside of the lab.
DOI: 10.6084/m9.figshare.1546440.v1
title: Gender relats to the sleeve lengh

description: The relationship between gender and the lengh of the sleeve. The sample were taken randomly seen by observers inside and outside of the lab.
DOI: 10.6084/m9.figshare.1546209
title: Introductory Lab

description: Gender was observed and designated as either Male or Female (M/F). Shirt sleeve length defined as either Short Sleeved (SS) or Long Sleeved (LS). Restrictions: Sampling was conducted indoors, during summer months.Sleeve length was defined as the type of shirt worn, (tank tops and tee shirts for SS, sweaters, long sleeved shirts as LS) not by how the shirt was worn, LS rolled to the elbow still constitutes LS.
DOI: 10.6084/m9.figshare.1545638
title: Data Set 1

description: Data Set -glasses: with or without -gender: male or female
DOI: 10.6084/m9.figshare.1546772.v8
title: DFT dilute solute diffusion in Al, Cu, Ni, Pd, Pt, Mg, Fe, W, Mo, Au, Ca, Ir, Pb, and Ag

description: A total of more than 360 dilute solute diffusion systems in FCC, BCC, and HCP host lattices (Al, Cu, Ni, Pd, Pt, Mg, Fe, W, Mo, Au, Ca, Ir, Pb, and Ag) have been determined using density functional theory (DFT) calculations and multi-frequency diffusion models. This dataset include the jump barriers and attempt frequencies for each solute as well as final Arrhenius diffusion constant, D0, and diffusion activation barrier, Q.
DOI: 10.6084/m9.figshare.1545637
title: Week 1 Ecology Lab

description: Week one, catagorial data
DOI: 10.6084/m9.figshare.1545638.v1
title: Data Set 1

description: Data Set -glasses: with or without -gender: male or female