cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3858285
title: yorku.grassland.Sept20-2016.csv

description: <b>Prediction</b>It was expected the amount of grass coverage in percent is greater than the percentage of plant or vegetation coverage within the grassland environment. <b>Hypothesis</b> The proportion of grass coverage is greater than the percentage of plant coverage in a given grassland environment because the grass takes up more nutrients from the soil, allowing less plants to grow. <br> <b>Meta-data</b> The observational study was done in a grassland setting at the location of Boyer Woodlot with a latitude of 43.8<sup>o</sup> and a longitude of -79.5<sup>o</sup>. This experiment was conducted from 2:50 p.m.- 4:40 p.m. on September 20th 2016. The temperature was 25ᴼC with the weather forecast being mostly sunny. A quadrat was one of the equipment that was used to sample the plant population in the grassland environment. Next the length and width of the quadrat was measured with a measuring tape to calculate the total area of the quadrat, which was 1m<sup>2</sup>. The quadrat was divided into 100 square grids and each square grid had the dimensions 10 centimetres by 10 centimetres. The quadrat was initially placed at the edge of the grassland area northwest of the Lumbers building. Overlapping plants and grass were not taken into account. The total amount of plants was then calculated by counting the plants within the 100 square grids. All the different species of plants were also counted and included in the total number of plants. All the plants grown from the root within the interior of the quadrat were counted where each stem was counted as one individual plant. After the number of different plant species were counted by visually observing the amount of different plant species found in the quadrat. The different plant species were classified as a different species based on the size, shape, and colour of the plant. The coverage of plants and grass were measured as a percentage. Each square grid within the quadrat is equal to 1% of coverage, and the coverage of the plant was calculated by seeing how much of the 100 square grids were covered with plants. Next the coverage of grass was calculated by looking at the amount of grids that contained grass. In total the coverage of plants and the coverage of grass together added up to 100% coverage.The study was repeated for a total of 25 times (n=25). Random sampling was determined by placing the quadrat apparatus 1m apart from where the last quadrat observation was conducted in order to obtain accuracy in the results. The 1<sup>st</sup> researcher collected the data for the total vegetation and grass population in percent. While the 2<sup>nd</sup> researcher collected the data for the number of different species in the experiment.
DOI: 10.6084/m9.figshare.3858285.v1
title: yorku.grassland.Sept20-2016.csv

description: <b>Prediction</b>It was expected the amount of grass coverage in percent is greater than the percentage of plant or vegetation coverage within the grassland environment. <b>Hypothesis</b> The proportion of grass coverage is greater than the percentage of plant coverage in a given grassland environment because the grass takes up more nutrients from the soil, allowing less plants to grow. <br> <b>Meta-data</b> The observational study was done in a grassland setting at the location of Boyer Woodlot with a latitude of 43.8<sup>o</sup> and a longitude of -79.5<sup>o</sup>. This experiment was conducted from 2:50 p.m.- 4:40 p.m. on September 20th 2016. The temperature was 25ᴼC with the weather forecast being mostly sunny. A quadrat was one of the equipment that was used to sample the plant population in the grassland environment. Next the length and width of the quadrat was measured with a measuring tape to calculate the total area of the quadrat, which was 1m<sup>2</sup>. The quadrat was divided into 100 square grids and each square grid had the dimensions 10 centimetres by 10 centimetres. The quadrat was initially placed at the edge of the grassland area northwest of the Lumbers building. Overlapping plants and grass were not taken into account. The total amount of plants was then calculated by counting the plants within the 100 square grids. All the different species of plants were also counted and included in the total number of plants. All the plants grown from the root within the interior of the quadrat were counted where each stem was counted as one individual plant. After the number of different plant species were counted by visually observing the amount of different plant species found in the quadrat. The different plant species were classified as a different species based on the size, shape, and colour of the plant. The coverage of plants and grass were measured as a percentage. Each square grid within the quadrat is equal to 1% of coverage, and the coverage of the plant was calculated by seeing how much of the 100 square grids were covered with plants. Next the coverage of grass was calculated by looking at the amount of grids that contained grass. In total the coverage of plants and the coverage of grass together added up to 100% coverage.The study was repeated for a total of 25 times (n=25). Random sampling was determined by placing the quadrat apparatus 1m apart from where the last quadrat observation was conducted in order to obtain accuracy in the results. The 1<sup>st</sup> researcher collected the data for the total vegetation and grass population in percent. While the 2<sup>nd</sup> researcher collected the data for the number of different species in the experiment.
DOI: 10.7910/dvn/v1rjpf/5oqz10
title: mea20150818_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3858261
title: Apparent Motion Suppresses Responses in Early Visual Cortex: A Population Code Model

description: This dataset contains all the collected data from the 5 observers in the main experiment and the 3 observers in the control experiment using eye tracking (Supporting Information S2 Text in article), as well as the MATLAB code used to fit our population code model to the data and plot the results (see References for a link to the article).
DOI: 10.6084/m9.figshare.3858282
title: yorku.woodlot.Sept20-2016.csv

description: The experiment was carried out on September 20, 2016 from approximately 2:50 pm – 4:00 pm. The temperature was 25 degrees Celsius, with the weather forecast being mostly sunny with no rainfall. The experiment was conducted within Boyer’s Woodlot located at York University near the Chimneystack road (Latitude 43.78, Longitude -79.50). It was predicted that there would be a larger distance between adult trees that have a larger diameter at breast height (dbh). It was hypothesized that as the distance between trees increased, the dbh would also increase because the larger adult trees (trees with large dbh’s) absorbed most of the sunlight and nutrients from their surroundings. In addition, these larger trees occupied a large amount of space which reduces the ability of other large trees to grow nearby. To conduct the experiment, researcher 1 stood at the edge of the woodlot and placed the transect measuring tape at the edge of the area northwest of the lumbers building onto the ground. Then, researcher 2 held onto the other side of the transect measuring tape as they walked a total of 30 metres into the forest. The distance between each of the trees was measured using the transect measuring tape and the trees were approximately 0.50 m away from the transect measuring tape. A total of 10 pairs of trees was surveyed and the condition of each tree was noted (0=dead, 1=living, and 2= huge green canopy). The diameter at breast height was also measured using a measuring tape (at a breast height of 4 feet and 9 inches). All data collected was recorded in chart form during the experiment.
DOI: 10.7910/dvn/v1rjpf/mppjhw
title: mea20160327_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3858261.v1
title: Apparent Motion Suppresses Responses in Early Visual Cortex: A Population Code Model

description: This dataset contains all the collected data from the 5 observers in the main experiment and the 3 observers in the control experiment using eye tracking (Supporting Information S2 Text in article), as well as the MATLAB code used to fit our population code model to the data and plot the results (see References for a link to the article).
DOI: 10.6084/m9.figshare.3858246
title: Clinical utility of 2.8MM probe-CMA

description: Data gathered in a clinical trial of physician behavior regarding the diagnosis and treatment of simulated patients with rare genetic disorders.
DOI: 10.7910/dvn/v1rjpf/vtlakn
title: mea20150429_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3858282.v1
title: yorku.woodlot.Sept20-2016.csv

description: The experiment was carried out on September 20, 2016 from approximately 2:50 pm – 4:00 pm. The temperature was 25 degrees Celsius, with the weather forecast being mostly sunny with no rainfall. The experiment was conducted within Boyer’s Woodlot located at York University near the Chimneystack road (Latitude 43.78, Longitude -79.50). It was predicted that there would be a larger distance between adult trees that have a larger diameter at breast height (dbh). It was hypothesized that as the distance between trees increased, the dbh would also increase because the larger adult trees (trees with large dbh’s) absorbed most of the sunlight and nutrients from their surroundings. In addition, these larger trees occupied a large amount of space which reduces the ability of other large trees to grow nearby. To conduct the experiment, researcher 1 stood at the edge of the woodlot and placed the transect measuring tape at the edge of the area northwest of the lumbers building onto the ground. Then, researcher 2 held onto the other side of the transect measuring tape as they walked a total of 30 metres into the forest. The distance between each of the trees was measured using the transect measuring tape and the trees were approximately 0.50 m away from the transect measuring tape. A total of 10 pairs of trees was surveyed and the condition of each tree was noted (0=dead, 1=living, and 2= huge green canopy). The diameter at breast height was also measured using a measuring tape (at a breast height of 4 feet and 9 inches). All data collected was recorded in chart form during the experiment.
DOI: 10.6084/m9.figshare.3858282.v3
title: yorku.woodlot.Sept20-2016.csv

description: The experiment was carried out on September 20, 2016 from approximately 2:50 pm – 4:00 pm. The temperature was 25 degrees Celsius, with the weather forecast being mostly sunny with no rainfall. The experiment was conducted within Boyer’s Woodlot located at York University near the Chimneystack road (Latitude 43.78, Longitude -79.50). It was predicted that there would be a larger distance between adult trees that have a larger diameter at breast height (dbh). It was hypothesized that as the distance between trees increased, the dbh would also increase because the larger adult trees (trees with large dbh’s) absorbed most of the sunlight and nutrients from their surroundings. In addition, these larger trees occupied a large amount of space which reduces the ability of other large trees to grow nearby. To conduct the experiment, researcher 1 stood at the edge of the woodlot and placed the transect measuring tape at the edge of the area northwest of the lumbers building onto the ground. Then, researcher 2 held onto the other side of the transect measuring tape as they walked a total of 30 metres into the forest. The distance between each of the trees was measured using the transect measuring tape and the trees were approximately 0.50 m away from the transect measuring tape. A total of 10 pairs of trees was surveyed and the condition of each tree was noted (0=dead, 1=living, and 2= huge green canopy). The diameter at breast height was also measured using a measuring tape (at a breast height of 4 feet and 9 inches). All data collected was recorded in chart form during the experiment.
DOI: 10.6084/m9.figshare.3858282.v2
title: yorku.woodlot.Sept20-2016.csv

description: The experiment was carried out on September 20, 2016 from approximately 2:50 pm – 4:00 pm. The temperature was 25 degrees Celsius, with the weather forecast being mostly sunny with no rainfall. The experiment was conducted within Boyer’s Woodlot located at York University near the Chimneystack road (Latitude 43.78, Longitude -79.50). It was predicted that there would be a larger distance between adult trees that have a larger diameter at breast height (dbh). It was hypothesized that as the distance between trees increased, the dbh would also increase because the larger adult trees (trees with large dbh’s) absorbed most of the sunlight and nutrients from their surroundings. In addition, these larger trees occupied a large amount of space which reduces the ability of other large trees to grow nearby. To conduct the experiment, researcher 1 stood at the edge of the woodlot and placed the transect measuring tape at the edge of the area northwest of the lumbers building onto the ground. Then, researcher 2 held onto the other side of the transect measuring tape as they walked a total of 30 metres into the forest. The distance between each of the trees was measured using the transect measuring tape and the trees were approximately 0.50 m away from the transect measuring tape. A total of 10 pairs of trees was surveyed and the condition of each tree was noted (0=dead, 1=living, and 2= huge green canopy). The diameter at breast height was also measured using a measuring tape (at a breast height of 4 feet and 9 inches). All data collected was recorded in chart form during the experiment.
DOI: 10.7910/dvn/v1rjpf/34jsy2
title: mea20151019_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/oihr9x
title: mea20150405_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3856416
title: Supplementary material for Protein Structure Refinement Using a Quantum Mechanics-Based Chemical Shielding Predictor

description: PDBfiles+procsoutput.zip and Python+csh_scripts.zip contain README files with more information
DOI: 10.6084/m9.figshare.3856416.v1
title: Supplementary material for Protein Structure Refinement Using a Quantum Mechanics-Based Chemical Shielding Predictor

description: PDBfiles+procsoutput.zip and Python+csh_scripts.zip contain README files with more information
DOI: 10.6084/m9.figshare.3856395
title: CONVERGE GWAS Sites

description: 6,242,619 high quality SNPs (IMPUTE2-style information score &gt; 0.95) from imputation of a total of 22,847,544 SNPs polymorphic in CONVERGE and/or 1000 Genomes Phase 1 ASN panel using BEAGLE v3.
DOI: 10.7910/dvn/v1rjpf/s1xdgk
title: mea20150906_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3856395.v1
title: CONVERGE GWAS Sites

description: 6,242,619 high quality SNPs (IMPUTE2-style information score &gt; 0.95) from imputation of a total of 22,847,544 SNPs polymorphic in CONVERGE and/or 1000 Genomes Phase 1 ASN panel using BEAGLE v3.
DOI: 10.7910/dvn/v1rjpf/ghmgjz
title: mea20151128_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3856386
title: Factors associated with diagnostic discrepancy for left ventricular hypertrophy between electrocardiography and echocardiography

description: <b>Objective:</b> To investigate the influence of cardiovascular risk factors, including fasting plasma glucose (FPG), on the association between electrocardiographic (ECG) and echocardiographic left ventricular hypertrophy (LVH) in an elderly population. <b>Methods:</b> We tested cross-sectional associations between electrocardiographic and echocardiographic LVH, defining LVH according to the Sokolow-Lyon voltage combination, Cornell voltage-duration product, or left ventricular mass index (LVMI). Differences between standardized LVMI and Sokolow-Lyon voltage combination or Cornell voltage-duration product (absolute value/cut-off value for LVH) were used as outcome variables in order to identify explanatory variables associated with diagnostic discrepancies between ECG and echocardiography. <b>Results:</b> Of the 1382 subjects included, 77% did not display any signs of LVH, 6% had LVH defined by ECG only, 13% had LVH defined by echocardiography only, and 5% had LVH on both ECG and echocardiography. Older subjects and those with higher blood pressure and RWT were more likely to have a relatively greater LVMI on echocardiography than that predicted on ECG (odds ratio: 1.65 per 10 years (95% confidence interval (CI): 1.27-2.15), <i>p</i> = .0002, odds ratio: 1.17 per 10 mmHg (95% CI: 1.09-1.25), <i>p</i> p = .03). In addition, discrepancy was also seen in females and subjects receiving antihypertensive medication (odds ratio: 1.41 (95% CI: 1.04-1.89), <i>p</i> = .03 and odds ratio: 1.41 (95% CI: 1.06-1.87), <i>p</i> = .02), but FPG did not independently influence discrepancy between ECG and echocardiography. <b>Conclusion:</b> Age, blood pressure, female sex, greater RWT and use of antihypertensive medication were associated with a greater risk of non-consistency between LVH determined by ECG and echocardiography.
DOI: 10.7910/dvn/v1rjpf/76ddns
title: mea20161004_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3856248
title: Kite-based Structure-from-Motion survey of Fort Fisher State Recreation Area beach, North Carolina, USA, 9/12/2016

description: Digital Surface Model (DSM), Orthophoto, Ground Control Point (GCP) coordinates (recorded using an RTK GNSS system), Structure-from-Motion report (with relevant parameters and spatial accuracy) and raw aerial images from a kite-based survey of the beach at Fort Fisher State Recreation Area, NC on September 12th, 2016. DSM and Orthophoto was constructed with 7 GCPs. GCP coordinates are given in NC State Plane Coordinate system, NAD 83, Geoid 09. Dense point cloud is included as a text file (X,Y, Z, R, G, B)<br>
DOI: 10.6084/m9.figshare.3856386.v1
title: Factors associated with diagnostic discrepancy for left ventricular hypertrophy between electrocardiography and echocardiography

description: <b>Objective:</b> To investigate the influence of cardiovascular risk factors, including fasting plasma glucose (FPG), on the association between electrocardiographic (ECG) and echocardiographic left ventricular hypertrophy (LVH) in an elderly population. <b>Methods:</b> We tested cross-sectional associations between electrocardiographic and echocardiographic LVH, defining LVH according to the Sokolow-Lyon voltage combination, Cornell voltage-duration product, or left ventricular mass index (LVMI). Differences between standardized LVMI and Sokolow-Lyon voltage combination or Cornell voltage-duration product (absolute value/cut-off value for LVH) were used as outcome variables in order to identify explanatory variables associated with diagnostic discrepancies between ECG and echocardiography. <b>Results:</b> Of the 1382 subjects included, 77% did not display any signs of LVH, 6% had LVH defined by ECG only, 13% had LVH defined by echocardiography only, and 5% had LVH on both ECG and echocardiography. Older subjects and those with higher blood pressure and RWT were more likely to have a relatively greater LVMI on echocardiography than that predicted on ECG (odds ratio: 1.65 per 10 years (95% confidence interval (CI): 1.27-2.15), <i>p</i> = .0002, odds ratio: 1.17 per 10 mmHg (95% CI: 1.09-1.25), <i>p</i> p = .03). In addition, discrepancy was also seen in females and subjects receiving antihypertensive medication (odds ratio: 1.41 (95% CI: 1.04-1.89), <i>p</i> = .03 and odds ratio: 1.41 (95% CI: 1.06-1.87), <i>p</i> = .02), but FPG did not independently influence discrepancy between ECG and echocardiography. <b>Conclusion:</b> Age, blood pressure, female sex, greater RWT and use of antihypertensive medication were associated with a greater risk of non-consistency between LVH determined by ECG and echocardiography.
DOI: 10.6084/m9.figshare.3856248.v2
title: Kite-based Structure-from-Motion survey of Fort Fisher State Recreation Area beach, North Carolina, USA, 9/12/2016

description: Digital Surface Model (DSM), Orthophoto, Ground Control Point (GCP) coordinates (recorded using an RTK GNSS system), Structure-from-Motion report (with relevant parameters and spatial accuracy) and raw aerial images from a kite-based survey of the beach at Fort Fisher State Recreation Area, NC on September 12th, 2016. DSM and Orthophoto was constructed with 7 GCPs. GCP coordinates are given in NC State Plane Coordinate system, NAD 83, Geoid 09. Dense point cloud is included as a text file (X,Y, Z, R, G, B)<br>
DOI: 10.7910/dvn/v1rjpf/qrtrux
title: mea20160827_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3856248.v1
title: Kite-based Structure-from-Motion survey of Fort Fisher State Recreation Area beach, North Carolina, USA, 9/12/2016

description: Digital Surface Model (DSM), Orthophoto, Ground Control Point (GCP) coordinates (recorded using an RTK GNSS system), Structure-from-Motion report (with relevant parameters and spatial accuracy) and raw aerial images from a kite-based survey of the beach at Fort Fisher State Recreation Area, NC on September 12th, 2016. DSM and Orthophoto was constructed with 7 GCPs. GCP coordinates are given in NC State Plane Coordinate system, NAD 83, Geoid 09.<br>
DOI: 10.6084/m9.figshare.3856158
title: Hemiptera: 40,207 baits targeting 2,731 conserved loci (Hemiptera-UCE-2.7K-v1.fasta)

description: A target enrichment probe set designed from 2,731 UCE loci identified among Hemiptera. This is a ZIP archive of a FASTA file that is ready for submission of the probe set for synthesis.
DOI: 10.6084/m9.figshare.3856161
title: Lepidoptera: 14,363 baits targeting 1,381 conserved loci (Lepidoptera-UCE-1.3K-v1.fasta.zip)

description: A target enrichment probe set designed from 1,381 UCE loci identified among Lepidoptera. This is a ZIP archive of a FASTA file that is ready for submission of the probe set for synthesis.
DOI: 10.7910/dvn/v1rjpf/l8mh9c
title: mea20151204_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3856161.v1
title: Lepidoptera: 14,363 baits targeting 1,381 conserved loci (Lepidoptera-UCE-1.3K-v1.fasta.zip)

description: A target enrichment probe set designed from 1,381 UCE loci identified among Lepidoptera. This is a ZIP archive of a FASTA file that is ready for submission of the probe set for synthesis.
DOI: 10.6084/m9.figshare.3856155
title: Agent Based Composition Model - ICWI 2016

description: Dataset available for the article published at ICWI 2016 titled "An Agent Based Composition Model for Semantic Microservices"<br>
DOI: 10.7910/dvn/v1rjpf/o8bzgq
title: mea20150817_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3856152
title: Diptera: 31,328 baits targeting 2,711 conserved loci (Diptera-UCE-2.7K-v1.fasta)

description: A target enrichment probe set designed from 2,711 UCE loci identified among Diptera. This is a ZIP archive of a FASTA file that is ready for submission of the probe set for synthesis.
DOI: 10.6084/m9.figshare.3856155.v1
title: Agent Based Composition Model - ICWI 2016

description: Dataset available for the article published at ICWI 2016 titled "An Agent Based Composition Model for Semantic Microservices"<br>
DOI: 10.7910/dvn/v1rjpf/osqt3h
title: mea20150604_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3856146
title: Arachnida: 14,799 baits targeting 1,120 conserved loci (Arachnida-UCE-1.1K-v1.fasta)

description: A target enrichment probe set designed from 1,120 UCE loci identified among arachnids. This is a ZIP archive of a FASTA file that is ready for submission of the probe set for synthesis.
DOI: 10.6084/m9.figshare.3856149
title: Coleoptera: 13,674 baits targeting 1,172 conserved loci (Coleoptera-UCE-1.1K-v1.fasta)

description: A target enrichment probe set designed from 1,172 UCE loci identified among Coleoptera. This is a ZIP archive of a FASTA file that is ready for submission of the probe set for synthesis.
DOI: 10.7910/dvn/v1rjpf/7lfgvs
title: mea20150414_03.txt.gz

description: :unav