cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3971745
title: Types of Insect Measurement and identity Bio2050 Lab

description: This experiment was done on different insect observations which took place in the Dandy grassland area of York university.In total, we did 10 rounds with a sweep net which was measured by a stopwatch in (minutes) and the distance was 30 meters for each sweep in random sections of the grassland,Distance was measured with the help of a transect.At the completion of each round, we checked for the number of insects captured in the sweep net and identified overall types of species.Due to the weather, not many insects were caught as expected. <br><br>Hypothesis <br>Due to weather conditions, not many insects were captured.
DOI: 10.6084/m9.figshare.3971745.v1
title: Types of Insect Measurement and identity Bio2050 Lab

description: This experiment was done on different insect observations which took place in the Dandy grassland area of York university.In total, we did 10 rounds with a sweep net which was measured by a stopwatch in (minutes) and the distance was 30 meters for each sweep in random sections of the grassland,Distance was measured with the help of a transect.At the completion of each round, we checked for the number of insects captured in the sweep net and identified overall types of species.Due to the weather, not many insects were caught as expected. <br><br>Hypothesis <br>Due to weather conditions, not many insects were captured.
DOI: 10.6084/m9.figshare.3971748.v1
title: Bao et al Dataset for NBME.xls

description: High-throughput screening of small molecules and proteins to identify signaling pathways that are important for human epicardial cell specification and self-renwal
DOI: 10.7910/dvn/v1rjpf/mqemu7
title: snk20160130_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3971742
title: york.grassland.Sept29-2016.csv

description: Methods: On September 29, 2016 students used sweep nets and transects to sample insect communities and populations in the grasslands. Transects were placed randomly all over the grasslands, lab mates would walk the entire transect (30 metres) while sweeping within one metre on both sides of the transect. Lab mates would then proceed to carefully examine the sweep net and take account of how many total insects there were and how many different species there were.<br>Study site: The study took place at York University's Grassland. The lab was outdoors, and the weather was very cloudy.<br>Hypothesis:The more time it takes to go from one end of the transect to the other end, the more abundance of an insect population gets captured by the sweep net. <br>Predictions:1) Insects of the same species will be in small groups together,and so if you walk faster,you would be spending less time collecting bugs in one small area thus not getting many of the same species of insect 2) The amount of time spent in going through the transect has no effect on how much of an insect population is collected. A reason for this may be that some insect species do not stay together<br>Meta-Data:Attributes:1)Total number of insects: Numerical2) Total number of different species: Numerical<br>Group members: Brenda Espin, Kiana Malak Hosseini, Shunelle Prasad<br>
DOI: 10.6084/m9.figshare.3971748.v2
title: Bao et al Dataset for NBME.xls

description: High-throughput screening of small molecules and proteins to identify signaling pathways that are important for human epicardial cell specification and self-renwal
DOI: 10.7910/dvn/v1rjpf/yz9rdz
title: snk20160914_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3971742.v1
title: york.grassland.Sept29-2016.csv

description: Methods: On September 29, 2016 students used sweep nets and transects to sample insect communities and populations in the grasslands. Transects were placed randomly all over the grasslands, lab mates would walk the entire transect (30 metres) while sweeping within one metre on both sides of the transect. Lab mates would then proceed to carefully examine the sweep net and take account of how many total insects there were and how many different species there were.<br>Study site: The study took place at York University's Grassland. The lab was outdoors, and the weather was very cloudy.<br>Hypothesis:The more time it takes to go from one end of the transect to the other end, the more abundance of an insect population gets captured by the sweep net. <br>Predictions:1) Insects of the same species will be in small groups together,and so if you walk faster,you would be spending less time collecting bugs in one small area thus not getting many of the same species of insect 2) The amount of time spent in going through the transect has no effect on how much of an insect population is collected. A reason for this may be that some insect species do not stay together<br>Meta-Data:Attributes:1)Total number of insects: Numerical2) Total number of different species: Numerical<br>Group members: Brenda Espin, Kiana Malak Hosseini, Shunelle Prasad<br>
DOI: 10.6084/m9.figshare.3971748.v4
title: Human epicardial cells generated from pluripotent stem cells.xls

description: High-throughput screening of small molecules and proteins to identify signaling pathways that are important for human epicardial cell specification and self-renewal
DOI: 10.7910/dvn/v1rjpf/chy24x
title: snk20150712_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3971739
title: Total number of species versus Total Number of different species

description: <b>Meta-Data:</b><b>Variable 1-</b>Number of different species<b>Description: </b>Continuous-25 quadrats, with a one meter distance between each one, were studied for 30 seconds by 4 students. Each student studied one quarter of the quadrant and noted their observation of the total number of species out loud to the student recording the data.<b>Variable 2-</b>Total number of different species<b>Description: </b>Continuous-25 quadrats, with a one meter distance between each one, were studied for 30 seconds by 4 students. Each student studied one quarter of the quadrant and noted their observation of the total different number of species out loud to the student recording the data.<br><b>Method: </b>A group of 5 students was assembled at York University (North York, ON) to study and gather four different data sets in a grass-land and wood-lot area (edge of Keele street). This data set was one of the four, and it used a 1mx1m quadrat to study the insects and invertebrates found inside, each in the wood-land area. The first quadrat was dropped randomly, and then 25 quadrats were followed each a one meter distance from the previous quadrat (measure by a transact). The quadrat was visually divided into four and 4 students used sticks in order to analyze and find insects in the dirt in their asigned quarter and each spent 30 seconds (measured on a cell-phone timer) observing and later noting their observation aloud to the student recording the data. The data was recorded as each quadrat was studied.<br><b>Hypothesis: </b>The total number of species, and the total number of different species will be very similar in all 25 quadrats.<br><b>Predictions:</b><b>1.</b> The total number of species and the total number of different species is very similar due to the close distance between transacts.<b>2. </b> The total number of species and the total number of different species is zero, due to the cold temperature and the rain.<b>3. </b>There is a limited number of insects due to the rain and he cold weather.<b>4. </b>There is a limited number of insects present, because they can easily move out of the quadrat or hide due to detection of danger.<br><b>Environmental Description:</b>Temperature<b>=</b>17°CWind speed=29 km/hPrecipitation=15%Humidity=28%<br><b>Group Members: </b>Michelle Urman, Brenda Espin, Shunelle Prasad<b><br></b>
DOI: 10.6084/m9.figshare.3971739.v1
title: Total number of species versus Total Number of different species

description: <b>Meta-Data:</b><b>Variable 1-</b>Number of different species<b>Description: </b>Continuous-25 quadrats, with a one meter distance between each one, were studied for 30 seconds by 4 students. Each student studied one quarter of the quadrant and noted their observation of the total number of species out loud to the student recording the data.<b>Variable 2-</b>Total number of different species<b>Description: </b>Continuous-25 quadrats, with a one meter distance between each one, were studied for 30 seconds by 4 students. Each student studied one quarter of the quadrant and noted their observation of the total different number of species out loud to the student recording the data.<br><b>Method: </b>A group of 5 students was assembled at York University (North York, ON) to study and gather four different data sets in a grass-land and wood-lot area (edge of Keele street). This data set was one of the four, and it used a 1mx1m quadrat to study the insects and invertebrates found inside, each in the wood-land area. The first quadrat was dropped randomly, and then 25 quadrats were followed each a one meter distance from the previous quadrat (measure by a transact). The quadrat was visually divided into four and 4 students used sticks in order to analyze and find insects in the dirt in their asigned quarter and each spent 30 seconds (measured on a cell-phone timer) observing and later noting their observation aloud to the student recording the data. The data was recorded as each quadrat was studied.<br><b>Hypothesis: </b>The total number of species, and the total number of different species will be very similar in all 25 quadrats.<br><b>Predictions:</b><b>1.</b> The total number of species and the total number of different species is very similar due to the close distance between transacts.<b>2. </b> The total number of species and the total number of different species is zero, due to the cold temperature and the rain.<b>3. </b>There is a limited number of insects due to the rain and he cold weather.<b>4. </b>There is a limited number of insects present, because they can easily move out of the quadrat or hide due to detection of danger.<br><b>Environmental Description:</b>Temperature<b>=</b>17°CWind speed=29 km/hPrecipitation=15%Humidity=28%<br><b>Group Members: </b>Michelle Urman, Brenda Espin, Shunelle Prasad<b><br></b>
DOI: 10.6084/m9.figshare.3971748.v3
title: Long-term self-renewing human epicardial cells generated from pluripotent stem cells under defined xeno-free conditions.xls

description: High-throughput screening of small molecules and proteins to identify signaling pathways that are important for human epicardial cell specification and self-renwal
DOI: 10.7910/dvn/v1rjpf/00avbq
title: snk20151209_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3971736
title: york.grassland.sept29-2016.csv

description: <b>Meta Data</b><br><br><b>Total Number of Insects Collected:</b> Discreet Variable. These values were obtained by counting the total number of insects collected in the sweep net test. The sweep net test was performed along a 30 m transect line and 40 cm perpendicular to the transect line.<br><b>Total Number of Recognizable Taxonomic Units (Rtus): </b>Discreet Variable. These values were obtained by visually distinguishing morphological features of the insect. <br><b>Plant Diversity (PD):</b> Discreet Variable measure on a Ordinal Scale. This was measured by using a 0-3 scale. That values of 0= no plant diversity, 1= low plant diversity, 2= moderate plant diversity, and 3= high plant diversity. This was determined by the amount of different plant species along the transect line.<br><b>Hypothesis:</b> When Plant Diversity is high then total number of insects collected and the total number of Rtus collected will also be high. This is because having a high PD would promote a diverse sustainable environment thus attracting more insects and Rtus in that area.<br><b>Predictions:</b>1. The higher amount of total number of insects collected will have high amount of total Rtus collected.<br>2. Higher PD within the transect will have higher amounts of total number of insects collected and total number of Rtus collected.<br>3. Lower PD within the transect line will have low amounts of total number of insects collected and total number of Rtus collected.<br><b>Methods:</b> A 30 m transect line was made using a 30 m measuring tape in a linear fashion. The tape was placed as low as possible without disrupting any foliage. A sweep net test was conducted along the 30 m transect line using a 40 cm range perpendicular to the transect line. After the test the number of insects collected was counted. The insects were visually distinguished by morphological features to obtain total Rtus. Examples of Rtus are caterpillars, small flies, large flies, leaf hoppers, ants, and small spiders. Plant Diversity was measured along the transect line using the 0-3 scale(0= No PD,1= Low PD, 2= Moderate PD, 3= High PD). Transect line was moved 1 m across from the previous transect line. This process was repeated for a total of 10 times.<br><b>Study Site:</b> Experiment was conducted on Thursday September 29, 2016 between 2:30- 5:30pm at Danby Grasslands in York University Keele Campus. The weather was gloomy skies, cloudy and periods of light rain at about 16 degrees Celsius.<br><b>Group Members:</b> Matthew Chiang, Abesan Balakumar, Keethana Bala, Kobina Vijay.
DOI: 10.6084/m9.figshare.3971736.v1
title: york.grassland.sept29-2016.csv

description: <b>Meta Data</b><br><br><b>Total Number of Insects Collected:</b> Discreet Variable. These values were obtained by counting the total number of insects collected in the sweep net test. The sweep net test was performed along a 30 m transect line and 40 cm perpendicular to the transect line.<br><b>Total Number of Recognizable Taxonomic Units (Rtus): </b>Discreet Variable. These values were obtained by visually distinguishing morphological features of the insect. <br><b>Plant Diversity (PD):</b> Discreet Variable measure on a Ordinal Scale. This was measured by using a 0-3 scale. That values of 0= no plant diversity, 1= low plant diversity, 2= moderate plant diversity, and 3= high plant diversity. This was determined by the amount of different plant species along the transect line.<br><b>Hypothesis:</b> When Plant Diversity is high then total number of insects collected and the total number of Rtus collected will also be high. This is because having a high PD would promote a diverse sustainable environment thus attracting more insects and Rtus in that area.<br><b>Predictions:</b>1. The higher amount of total number of insects collected will have high amount of total Rtus collected.<br>2. Higher PD within the transect will have higher amounts of total number of insects collected and total number of Rtus collected.<br>3. Lower PD within the transect line will have low amounts of total number of insects collected and total number of Rtus collected.<br><b>Methods:</b> A 30 m transect line was made using a 30 m measuring tape in a linear fashion. The tape was placed as low as possible without disrupting any foliage. A sweep net test was conducted along the 30 m transect line using a 40 cm range perpendicular to the transect line. After the test the number of insects collected was counted. The insects were visually distinguished by morphological features to obtain total Rtus. Examples of Rtus are caterpillars, small flies, large flies, leaf hoppers, ants, and small spiders. Plant Diversity was measured along the transect line using the 0-3 scale(0= No PD,1= Low PD, 2= Moderate PD, 3= High PD). Transect line was moved 1 m across from the previous transect line. This process was repeated for a total of 10 times.<br><b>Study Site:</b> Experiment was conducted on Thursday September 29, 2016 between 2:30- 5:30pm at Danby Grasslands in York University Keele Campus. The weather was gloomy skies, cloudy and periods of light rain at about 16 degrees Celsius.<br><b>Group Members:</b> Matthew Chiang, Abesan Balakumar, Keethana Bala, Kobina Vijay.
DOI: 10.7910/dvn/v1rjpf/zpt1gh
title: snk20160331_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/r64bzf
title: snk20150908_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3971721
title: Lab 3. Bird sighting dataset

description: <b>Methods</b> This dataset was collected on September 29, 2016 at approximately 4pm, in the Dandy grasslands and woodlot near York University. The weather for the day of sampling was 15°C with light rain (Rain:<b> </b>1-3 mm Wind: 20 km/h E Wind gust: 30 km/h Humidity<b>:</b> 82). In each habitat type, five different 10 m transects were placed in randomly chosen spots. The number of bird sightings in a one minute interval was recorded for each transect. Wind intensity for each transect was estimated on a scale from 1 to 5, 5 being the most intense. Wind speed and weather information for the general area was obtained from the website https://www.theweathernetwork.com/ca/weather/ontario/north-york at the time of sampling. The number of different bird species and the distance from the transect was also estimated for each sighting. <b>Hypothesis</b> Wind intensity has an impact on the number of birds that are active. <b>Predictions</b> 1) There will not be many birds active due to the high wind intensity. 2) There will be a low diversity of bird species, because smaller birds may have difficulty navigating in strong winds. 3) There will be a higher abundance of flying birds in the open area (grasslands) than in the woodlands at the time of sampling, due to the fact that most birds are diurnal.
DOI: 10.6084/m9.figshare.3971715
title: Laboratory 3 - Dataset 2: Using Pan Traps to Estimate Insects Abundances

description: <b>Meta Data:</b>Habitat - The datasets were collected in grassland and woodlot.Pan Trap Colour - The colour of pan traps used for this dataset were blue and yellow.Number of Insects - The insects captured in the pan trap were counted individually. <b>Methods:</b> To record this dataset, 10 yellow pan traps were placed randomly in grassland and 10 blue pan traps were placed randomly in woodlot. Each trap was filled half way with soapy water. The same colour of pan traps were used in each habitat because this way it would not get mixed up with another group's traps. After one hour, the total number of insects captured in each trap were individually counted and recorded. <b>Study Site:</b> The dataset was collected on September 29th, 2016 between 3:10 pm- 4:10 pm at Danby grassland and woodlot at York University Keele Campus, Toronto, Ontario, Canada. The weather was cold with a temperature of 15°C with slight wind and drizzle. <b>Equipment:</b> Yellow and blue pan traps and soapy water <b>Hypothesis:</b> There are more insects in grassland compared to woodlot because there are more resources to vegetation compared to woodlot. <b>Predictions:</b> 1) More insects will be captured in grassland compared to woodlot. 2) Different species of insects can be captured in grassland. 3) Less insects will be captured in woodlot because it is closed off and has less resources to vegetation. <b>Group Members:</b> Abesan Balakumar, Matthew Chiang, Andrew Nguyen
DOI: 10.7910/dvn/v1rjpf/gijwtn
title: snk20150801_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3971715.v1
title: Laboratory 3 - Dataset 2: Using Pan Traps to Estimate Insects Abundances

description: <b>Meta Data:</b>Habitat - The datasets were collected in grassland and woodlot.Pan Trap Colour - The colour of pan traps used for this dataset were blue and yellow.Number of Insects - The insects captured in the pan trap were counted individually. <b>Methods:</b> To record this dataset, 10 yellow pan traps were placed randomly in grassland and 10 blue pan traps were placed randomly in woodlot. Each trap was filled half way with soapy water. The same colour of pan traps were used in each habitat because this way it would not get mixed up with another group's traps. After one hour, the total number of insects captured in each trap were individually counted and recorded. <b>Study Site:</b> The dataset was collected on September 29th, 2016 between 3:10 pm- 4:10 pm at Danby grassland and woodlot at York University Keele Campus, Toronto, Ontario, Canada. The weather was cold with a temperature of 15°C with slight wind and drizzle. <b>Equipment:</b> Yellow and blue pan traps and soapy water <b>Hypothesis:</b> There are more insects in grassland compared to woodlot because there are more resources to vegetation compared to woodlot. <b>Predictions:</b> 1) More insects will be captured in grassland compared to woodlot. 2) Different species of insects can be captured in grassland. 3) Less insects will be captured in woodlot because it is closed off and has less resources to vegetation. <b>Group Members:</b> Abesan Balakumar, Matthew Chiang, Andrew Nguyen
DOI: 10.7910/dvn/v1rjpf/e9iskt
title: snk20161123_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/unnxcm
title: snk20150121_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/j686cu
title: snk20150326_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3971661
title: Data from "Open-ended formulation of self-consistent field response theory with the polarizable continuum model for solvation"

description: MPA calculations raw data and processing scripts for the results presented in the <i>Open-ended formulation of self-consistent field response theory with the polarizable continuum model </i><i>for solvation </i>manuscript.<br>
DOI: 10.7910/dvn/v1rjpf/nprgla
title: snk20160126_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/llmf10
title: snk20150418_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3971661.v1
title: MPA calculations raw data and processing scripts

description: Raw data and processing scripts for the results presented in the <i>Open-ended formulation of self-consistent field response theory with the polarizable continuum model</i><i>for solvation </i>manuscript.<br>
DOI: 10.7910/dvn/v1rjpf/8dss48
title: snk20161105_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/vezq2r
title: snk20150708_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/cg9wvc
title: snk20150414_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3971625
title: R_Programming_Statistics_Screencasts

description: Video screencasts of tutorials to learn some R programming and statistics
DOI: 10.6084/m9.figshare.3971547
title: Counts of Arc-expressing cells in cowbirds

description: Dataset describing behavior and cell counts to accompany PLoS paper<br>
DOI: 10.7910/dvn/v1rjpf/s0yv6v
title: snk20151025_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3971547.v2
title: Counts of Arc-expressing cells in cowbirds

description: Dataset describing behavior and cell counts to accompany PLoS paper<br>
DOI: 10.7910/dvn/v1rjpf/sfdzu5
title: snk20150821_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3971547.v1
title: Dataset

description: Dataset describing behavior and cell counts to accompany PLoS paper<br>
DOI: 10.6084/m9.figshare.3971625.v1
title: R_Programming_Statistics_Screencasts

description: Video screencasts of tutorials to learn some R programming and statistics
DOI: 10.6084/m9.figshare.3971625.v3
title: R_Programming_Statistics_Screencasts

description: Video screencasts of tutorials to learn some R programming and statistics
DOI: 10.7910/dvn/v1rjpf/hhbllt
title: snk20160313_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/4vbhuj
title: snk20160717_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/dycach
title: snk20150403_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/85nsie
title: snk20160921_03.txt.gz

description: :unav