cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1589750.v1
title: Patient A

description: R workspace format. Variable "series" is the multivariate time series with time, scalp and FOE activity. The first column corresponds to time<br>(in minutes). The following 16 channels correspond to scalp electrodes (2:9 left scalp electrodes and 10:17 right scalp electrodes). The remaining columns correspond to FOE, left and right respectively. The variable "onset" determines the time of seizure onset (in minutes). Sampling frequency=250 Hz. # of channels 26 (8 + 8 scalp and 5 + 5 FOE).
DOI: 10.6084/m9.figshare.1589113
title: Solar and Wind Data

description: Solar and Wind Data from Rochester, NY
DOI: 10.6084/m9.figshare.1589735
title: SynFind supporting data: Benchmark on three curated syntenic gene sets

description: <strong>Support data for SynFind.</strong> Package contains benchmark results for athaliana (Bowers), yeast (YGOB) and grass (Schnable). For each dataset, the published "truth" set, along with raw results from SynFind, MCScanX and iADHoRe are included for comparison. For details, please see discussion on bechmark in the paper.
DOI: 10.6084/m9.figshare.1588851
title: Effects of Sunlight Coverage and Soil Moisture Levels on Abundance of Plant Species

description: The purpose of the experiment was to determine the amount of plant species within each quadrat that was placed within grassland and relate them to the amount of sunlight and soil quality via moisture level. The data was collected on Monday October 19th 2015 from 3:00pm to 5:00pm at York Universities Danby Woodlot grassland (behind the forested part) located at 4700 Keele St in Toronto Ontario. It was 14 degrees outside and Sunny, the sun varied in position due to timing of experiment because it started to set off into the west. 2 quadrats were used to conduct the experiment; a quadrat is a tool used to calculate local abundance of individuals in a given area and works very well for stationary individuals such as plants. The quadrat was a 1 metre by 1 metre measurement of area. 120 quadrat replicates were used. The individuals that conducted the experiment were Sumera, Mustafa, Krystal and Savannah (me). Mustafa and I took one quadrat and conducted 60 replicates, 30 in open grassland near no trees and 30 on the edge of the grassland where trees were present. Sumera and Krystal took the other quadrat and did the same procedure. 6 steps were taken between each quadrat as per what the random number generator produced. A table was set up in a notebook with columns labelled # of Quadrat Replicates, Number of Plant Species, Soil Moisture Level, and Sunlight Coverage. This table was then transferred and duplicated into excel after the experiment was complete. All the variables used in table were Numerical, discrete. Number of plant species was interpreted through observation, a new species is determined if it looks nothing like the last species found within the quadrat, as in it had different colour or/and leaf shape or size. Only the number of recognizable taxonomic units was noted, not the actual names of each species of plant or number of how many individuals of that species were present. A scale was used to determine sunlight levels for the plants within each quadrat, 0 = 0%, 1 = 25%, 2 = 50%, 3 = 75%, and 4 = 100% coverage within the quadrat. This variable depended on the time of day, weather, and where the quadrat was situated in the grassland (by trees vs. in open). Estimations were given in this case to the quadrats that would normally get full sunlight, such as those found in the middle with no trees around them but because of the time of day (4pm sun is starting to set) was not getting as much as usual. Soil moisture levels were also determined by a scale, 0 equals completely dry, 1 is semi-dry, 2 is semi-wet and 3 is moist. The soil moisture level depended on rain and sunlight coverage. It had rained 24 hours before the data was collected and it was a sunny and fairly warm day. To determine what number on the scale each quadrat sample should be given, a sample of the soil was tested with our hands from the both the edges of the quadrat and the middle for consistency. This same procedure and definition of variables was used for all 120 quadrat replicates and data was noted in the table.
DOI: 10.6084/m9.figshare.1589113.v2
title: Solar and Wind Data

description: Solar and Wind Data from Rochester, NY
DOI: 10.6084/m9.figshare.1589113.v1
title: Solar and Wind Data

description: Solar and Wind Data from Rochester, NY
DOI: 10.6084/m9.figshare.1589735.v1
title: SynFind support data: Benchmark on three curated syntenic gene sets

description: <strong>Support data for SynFind.</strong> Package contains benchmark results for athaliana (Bowers), yeast (YGOB) and grass (Schnable). For each dataset, the published "truth" set, along with raw results from SynFind, MCScanX and iADHoRe are included for comparison. For details, please see discussion on bechmark in the paper.
DOI: 10.6084/m9.figshare.1588851.v1
title: Effects of Sunlight Coverage and Soil Moisture Levels on Abundance of Plant Species

description: The purpose of the experiment was to determine the amount of plant species within each quadrat that was placed within grassland and relate them to the amount of sunlight and soil quality via moisture level. The data was collected on Monday October 19th 2015 from 3:00pm to 5:00pm at York Universities Danby Woodlot grassland (behind the forested part). It was 18 degrees outside and Sunny, the sun was setting to the west at the particular time stated. 2 quadrats were used to conduct the experiment; a quadrat is a tool used to calculate local abundance of individuals in a given area and works very well for stationary individuals such as plants. 120 quadrat replicates were used. The individuals that conducted the experiment were Sumera, Mustafa, Krystal and Savannah (me). Mustafa and I took one quadrat and conducted 60 replicates, 30 in open grassland near no trees and 30 on the edge of the grassland where trees were present. Sumera and Krystal took the other quadrat and did the same procedure. 6 steps were taken between each quadrat as per what the random number generator produced. A table was set up in a notebook with columns labelled # of Quadrat Replicates, Number of Plant Species, Soil Moisture Level, and Sunlight Coverage. This table was then transferred and duplicated into excel after the experiment was complete. Number of plant species was interpreted through observation, a new species is determined if it looks nothing like the last species found within the quadrat, as in it had different colour or/and leaf shape or size. Only the number of recognizable taxonomic units was noted, not the actual names of each species of plant or number of how many individuals of that species were present. A scale was used to determine sunlight levels for the plants within each quadrat, 0 = 0%, 1 = 25%, 2 = 50%, 3 = 75%, and 4 = 100% coverage within the quadrat. This variable depended on the time of day, weather, and where the quadrat was situated in the grassland (by trees vs. in open). Estimations were given in the case of quadrats that would normally get full sunlight, such as those found in the middle with no trees around them but because of the time of day (4pm sun is starting to set) was not getting as much as usual. Soil moisture levels were also determined by a scale, 0 equals completely dry, 1 is semi-dry, 2 is semi-wet and 3 is moist. The soil moisture level depended on rain and sunlight coverage. It had rained 24 hours before the data was collected and it was a sunny and fairly warm day. To determine what number on the scale each quadrat sample should be given, a sample of the soil was tested with our hands from the both the edges of the quadrat and the middle for consistency. This same procedure and definition of variables was used for all 120 quadrat replicates and data was noted in the table.
DOI: 10.6084/m9.figshare.1588844
title: Evaluation of the experimental basis for assessment factors to protect individuals with asthma from health effects during short-term exposure to airborne chemicals

description: <i>Background</i>: Asthmatic individuals constitute a large sub-population that is often considered particularly susceptible to the deleterious effects of inhalation of airborne chemicals. However, for most such chemicals information on asthmatics is lacking and inter-individual assessment factors (AFs) of 3–25 have been proposed for use in the derivation of health-based guideline values. <i>Objective</i>: To evaluate available information in attempt to determine whether a general difference in airway response during short-term exposure between healthy and asthmatic individuals can be identified, and whether current AFs for inter-individual variability provide sufficient protection for asthmatics. <i>Methods</i>: After performing systematic review of relevant documents and the scientific literature estimated differential response factors (EDRF) were derived as the ratio between the lowest observed adverse effect levels for healthy and asthmatic subjects based on studies in which both groups were tested under the same conditions. Thereafter, the concentration–response relationships for healthy and asthmatic subjects exposed separately to four extensively tested chemicals (nitrogen dioxide, ozone, sulfuric acid, sulfur dioxide) were compared on the basis of combined data. Finally, a Benchmark Concentration (BMC) analysis was performed for sulfur dioxide. <i>Results</i>: We found evidence of higher sensitivity among asthmatics (EDRF &gt; 1) to 8 of 19 tested chemicals, and to 3 of 11 mixtures. Thereafter, we confirmed the higher sensitivity of asthmatics to sulfuric acid and sulfur dioxide. No difference was observed in the case of ozone and nitrogen dioxide. Finally, our BMC analysis of sulfur dioxide indicated a ninefold higher sensitivity among asthmatics. <i>Conclusion</i>: Although experimental data are often inconclusive, our analyses suggest that an AF of 10 is adequate to protect asthmatics from the deleterious respiratory effects of airborne chemicals.
DOI: 10.6084/m9.figshare.1588844.v1
title: Evaluation of the experimental basis for assessment factors to protect individuals with asthma from health effects during short-term exposure to airborne chemicals

description: <i>Background</i>: Asthmatic individuals constitute a large sub-population that is often considered particularly susceptible to the deleterious effects of inhalation of airborne chemicals. However, for most such chemicals information on asthmatics is lacking and inter-individual assessment factors (AFs) of 3–25 have been proposed for use in the derivation of health-based guideline values. <i>Objective</i>: To evaluate available information in attempt to determine whether a general difference in airway response during short-term exposure between healthy and asthmatic individuals can be identified, and whether current AFs for inter-individual variability provide sufficient protection for asthmatics. <i>Methods</i>: After performing systematic review of relevant documents and the scientific literature estimated differential response factors (EDRF) were derived as the ratio between the lowest observed adverse effect levels for healthy and asthmatic subjects based on studies in which both groups were tested under the same conditions. Thereafter, the concentration–response relationships for healthy and asthmatic subjects exposed separately to four extensively tested chemicals (nitrogen dioxide, ozone, sulfuric acid, sulfur dioxide) were compared on the basis of combined data. Finally, a Benchmark Concentration (BMC) analysis was performed for sulfur dioxide. <i>Results</i>: We found evidence of higher sensitivity among asthmatics (EDRF &gt; 1) to 8 of 19 tested chemicals, and to 3 of 11 mixtures. Thereafter, we confirmed the higher sensitivity of asthmatics to sulfuric acid and sulfur dioxide. No difference was observed in the case of ozone and nitrogen dioxide. Finally, our BMC analysis of sulfur dioxide indicated a ninefold higher sensitivity among asthmatics. <i>Conclusion</i>: Although experimental data are often inconclusive, our analyses suggest that an AF of 10 is adequate to protect asthmatics from the deleterious respiratory effects of airborne chemicals.
DOI: 10.6084/m9.figshare.1588840
title: An association of AKT1 gene polymorphism with antidepressant treatment response

description: <i>Objectives</i>: Nowadays it is considered that protein kinase Akt1 could be involved in pathogenesis of affective disorders. We have examined whether AKT1 gene polymorphisms are associated with antidepressant treatment response. <i>Methods</i>: The study included 106 Caucasian patients with depressive disorders from Siberia and 103 healthy control donors. The frequencies of single nucleotide polymorphisms rs1130214 and rs3730358 of AKT1 gene were examined. <i>Results</i>: A comparison of genotypic or allelic frequencies between the groups of healthy donors and depressive patients showed no statistically significant difference. No association between the polymorphisms under study and the scores according to Hamilton Depression Rating Scale 17 was found. However, an association between treatment response assessed by the Clinical Global Impression – Improvement scale and rs1130214 polymorphism was observed. <i>Conclusions</i>: AKT1 gene polymorphism rs1130214 is associated with antidepressant treatment response in patients with depressive disorders.
DOI: 10.6084/m9.figshare.1588840.v2
title: An association of AKT1 gene polymorphism with antidepressant treatment response

description: <i>Objectives</i>: Nowadays it is considered that protein kinase Akt1 could be involved in pathogenesis of affective disorders. We have examined whether AKT1 gene polymorphisms are associated with antidepressant treatment response. <i>Methods</i>: The study included 106 Caucasian patients with depressive disorders from Siberia and 103 healthy control donors. The frequencies of single nucleotide polymorphisms rs1130214 and rs3730358 of AKT1 gene were examined. <i>Results</i>: A comparison of genotypic or allelic frequencies between the groups of healthy donors and depressive patients showed no statistically significant difference. No association between the polymorphisms under study and the scores according to Hamilton Depression Rating Scale 17 was found. However, an association between treatment response assessed by the Clinical Global Impression – Improvement scale and rs1130214 polymorphism was observed. <i>Conclusions</i>: AKT1 gene polymorphism rs1130214 is associated with antidepressant treatment response in patients with depressive disorders.
DOI: 10.6084/m9.figshare.1588829
title: Angle Dataset for iPAD paper published in PLOS ONE

description: for PONE-D-15-37246R1
DOI: 10.6084/m9.figshare.1588829.v1
title: Angle Dataset for iPAD paper published in PLOS ONE

description: for PONE-D-15-37246R1
DOI: 10.6084/m9.figshare.1588824
title: On conditional risk estimation considering model risk

description: Usually, parametric procedures used for conditional variance modelling are associated with model risk. Model risk may affect the volatility and conditional value at risk estimation process either due to estimation or misspecification risks. Hence, non-parametric artificial intelligence models can be considered as alternative models given that they do not rely on an explicit form of the volatility. In this paper, we consider the least-squares support vector regression (LS-SVR), weighted LS-SVR and Fixed size LS-SVR models in order to handle the problem of conditional risk estimation taking into account issues of model risk. A simulation study and a real application show the performance of proposed volatility and VaR models.
DOI: 10.6084/m9.figshare.1588822
title: Data for: On the Compliance of Women Engineers with a Gendered Scientific System

description: Data and figures for paper submitted to PLOS ONE Abstract. There has been considerable effort in the last decade to increase the participation of women in engineering through various policies. However, there has been little empirical research on gender disparities in engineering which help underpin the effective preparation, co-ordination, and implementation of the science and technology (S&T) policies. This article aims to present a comprehensive gendered analysis of engineering publications across different specialties and provide a cross-gender analysis of research output and scientific impact of engineering researchers in academic, governmental, and industrial sectors. For this purpose, 679,338 engineering articles published from 2008 to 2013 are extracted from the Web of Science database and 974,837 authorships are analyzed. The structures of co-authorship collaboration networks in different engineering disciplines are examined, highlighting the role of female scientists in the diffusion of knowledge. The findings reveal that men dominate 80% of all the scientific production in engineering. Women engineers publish their papers in journals with higher Impact Factors than their male peers, but their work receives lower recognition (fewer citations) from the scientific community. Engineers—regardless of their gender—contribute to the reproduction of the male-dominated scientific structures through forming and repeating their collaborations predominantly with men. The results of this study call for integration of data driven gender-related policies in existing S&T discourse.
DOI: 10.6084/m9.figshare.1588824.v1
title: On conditional risk estimation considering model risk

description: Usually, parametric procedures used for conditional variance modelling are associated with model risk. Model risk may affect the volatility and conditional value at risk estimation process either due to estimation or misspecification risks. Hence, non-parametric artificial intelligence models can be considered as alternative models given that they do not rely on an explicit form of the volatility. In this paper, we consider the least-squares support vector regression (LS-SVR), weighted LS-SVR and Fixed size LS-SVR models in order to handle the problem of conditional risk estimation taking into account issues of model risk. A simulation study and a real application show the performance of proposed volatility and VaR models.
DOI: 10.6084/m9.figshare.1588807
title: Patient J

description: R workspace format. Variable "series" is the multivariate time series with time, scalp and FOE activity. The first column corresponds to time<br>(in minutes). The following 16 channels correspond to scalp electrodes (2:9 left scalp electrodes and 10:17 right scalp electrodes). The remaining columns correspond to FOE, left and right respectively. The variable "onset" determines the time of seizure onset (in minutes). Sampling frequency=200 Hz. # of channels 28 (8 + 8 scalp and 6 + 6 FOE).
DOI: 10.6084/m9.figshare.1588808
title: Patient H

description: R workspace format. Variable "series" is the multivariate time series with time, scalp and FOE activity. The first column corresponds to time<br>(in minutes). The following 16 channels correspond to scalp electrodes (2:9 left scalp electrodes and 10:17 right scalp electrodes). The remaining columns correspond to FOE, left and right respectively. The variable "onset" determines the time of seizure onset (in minutes). Sampling frequency=250 Hz. # of channels 26 (8 + 8 scalp and 5 + 5 FOE).
DOI: 10.6084/m9.figshare.1588821
title: Patient K

description: R workspace format. Variable "series" is the multivariate time series with time, scalp and FOE activity. The first column corresponds to time<br>(in minutes). The following 16 channels correspond to scalp electrodes (2:9 left scalp electrodes and 10:17 right scalp electrodes). The remaining columns correspond to FOE, left and right respectively. The variable "onset" determines the time of seizure onset (in minutes). Sampling frequency=200 Hz. # of channels 28 (8 + 8 scalp and 6 + 6 FOE).
DOI: 10.6084/m9.figshare.1588806
title: Patient I

description: R workspace format. Variable "series" is the multivariate time series with time, scalp and FOE activity. The first column corresponds to time<br>(in minutes). The following 16 channels correspond to scalp electrodes (2:9 left scalp electrodes and 10:17 right scalp electrodes). The remaining columns correspond to FOE, left and right respectively. The variable "onset" determines the time of seizure onset (in minutes). Sampling frequency=200 Hz. # of channels 28 (8 + 8 scalp and 6 + 6 FOE).
DOI: 10.6084/m9.figshare.1588806.v1
title: Patient I

description: R workspace format. Variable "series" is the multivariate time series with time, scalp and FOE activity. The first column corresponds to time<br>(in minutes). The following 16 channels correspond to scalp electrodes (2:9 left scalp electrodes and 10:17 right scalp electrodes). The remaining columns correspond to FOE, left and right respectively. The variable "onset" determines the time of seizure onset (in minutes). Sampling frequency=200 Hz. # of channels 28 (8 + 8 scalp and 6 + 6 FOE).
DOI: 10.6084/m9.figshare.1588808.v1
title: Patient H

description: R workspace format. Variable "series" is the multivariate time series with time, scalp and FOE activity. The first column corresponds to time<br>(in minutes). The following 16 channels correspond to scalp electrodes (2:9 left scalp electrodes and 10:17 right scalp electrodes). The remaining columns correspond to FOE, left and right respectively. The variable "onset" determines the time of seizure onset (in minutes). Sampling frequency=250 Hz. # of channels 26 (8 + 8 scalp and 5 + 5 FOE).
DOI: 10.6084/m9.figshare.1588807.v1
title: Patient J

description: R workspace format. Variable "series" is the multivariate time series with time, scalp and FOE activity. The first column corresponds to time<br>(in minutes). The following 16 channels correspond to scalp electrodes (2:9 left scalp electrodes and 10:17 right scalp electrodes). The remaining columns correspond to FOE, left and right respectively. The variable "onset" determines the time of seizure onset (in minutes). Sampling frequency=200 Hz. # of channels 28 (8 + 8 scalp and 6 + 6 FOE).
DOI: 10.6084/m9.figshare.1588803
title: Patient G

description: R workspace format. Variable "series" is the multivariate time series with time, scalp and FOE activity. The first column corresponds to time<br>(in minutes). The following 16 channels correspond to scalp electrodes (2:9 left scalp electrodes and 10:17 right scalp electrodes). The remaining columns correspond to FOE, left and right respectively. The variable "onset" determines the time of seizure onset (in minutes). Sampling frequency=200 Hz. # of channels 26 (8 + 8 scalp and 5 + 5 FOE).
DOI: 10.6084/m9.figshare.1588821.v1
title: Patient K

description: R workspace format. Variable "series" is the multivariate time series with time, scalp and FOE activity. The first column corresponds to time<br>(in minutes). The following 16 channels correspond to scalp electrodes (2:9 left scalp electrodes and 10:17 right scalp electrodes). The remaining columns correspond to FOE, left and right respectively. The variable "onset" determines the time of seizure onset (in minutes). Sampling frequency=200 Hz. # of channels 28 (8 + 8 scalp and 6 + 6 FOE).