cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1594799.v1
title: The effects of interference and disturbances on plant height in a disturbed and undisturbed environment.

description: The data was collected by Bava, Eman, Azeb and Saraswatie (Davi) in the Danby Grassland at York University’s Keele campus on October 15th and 22nd, 2015 between 2:45 pm and 5:00pm. On October 15th, it was approximately 7 °C with regular intervals of light rain. On October 22nd, the temperature was approximately 13 °C with moderate winds and partially cloudy conditions. The grassland composed of mainly small plants, shrubs and grass with small trees located on the perimeter of the area. The grassland was visually divided into two areas based on the level of disturbances. The interior of the grassland was considered to be the undisturbed area while the exterior was the disturbed area. The exterior has an approximate width of 15 meters surrounding the undisturbed interior portion of the grassland. The disturbed area generally has smaller plants when compared to the undisturbed plants in the interior of the grassland due to human disturbances. Vegetation in the interior were taller but very crowded and as a result, was difficult to move around in. The purpose of this experiment was to determine if there is a variation in plant height in a disturbed and undisturbed environment and why. The question being asked was “Can environmental disturbances such as human interference alter the overall height of three different plant species?” We assumed that the plant height for plants in the disturbed environment (exterior portion of the grassland) would be much shorter when compared to the height of plants in the undisturbed area (interior portion of the grassland. The heights of three different plant species, namely, white aster, purple aster and goldenrod, were randomly sampled. These three species of plants were selected as they were the most common in the grassland and were located in both the disturbed an undisturbed areas of the grassland. The plants were identified using a plant guide book and differentiated by their leaves and flowers. Over the two day collection time span, there were 50 samples for each plant species in each sample area (disturbed and undisturbed) for a total of 100 samples for each plant resulting in a total of 300 plant samples. Using a measuring tape, the height was recorded from the base of the plant to its highest point at eye level. Only living plants were sampled.
DOI: 10.6084/m9.figshare.1594805.v1
title: Ecology 2050- Insect abundance VS. Pan Colours and Environment condition

description: Authors: Katrin Chapkis, Ava Kamali, Simranjit Kang, Jennifer Mariatha This experiment was conducted during two three hours sessions on Oct 15 and Oct 22, 2015 from 2:30PM to 5:30PM at grasslands, located adjacent to woodlots at Keele campus, York University. On Oct 15, the weather was cloudy and rainy with a temperature of 17 degrees Celsius. According to Beaufort Wind Force Scale, the wind speed was 4 which specifies a moderate breeze with a range wind speed of 13 to 18 mph. On the second day of experiment, Oct 22, the weather was partially sunny and cloudy with temperature of 14 degrees Celsius and Beaufort wind speed of 4. The temperatures for both sessions were interpreted as cold and the weather was not in its best condition, therefore there might have been a significant effect on the movement of insects. The purpose for this experiment was to observe whether three different pan colours and absence/presence of flowers attract insects differently. Also it was a good practice to develop teamwork and familiarize with designing and collecting our own experiment and data. For each session, soapy water, two transects and 12 plastic pans, which consist of three colours with ratio of 4 yellow: 4 white: 4 blue, were prepared and used. By observing the field, two distinct areas with certain characteristics were chosen as follow: one with flowers in great numbers and the other one mostly covered with grass. Distinction among the two areas was made based on our own assumptions. A transect line of 4 meters was laid across each selected area being studied. It was assumed if the number of flowers across that 4 meters were equal or less than five, the area will be recorded as ‘absence of flowers’; and if the flowers’ number were equal or greater than 20, the area will be recorded as ‘presence of flowers’. This step was repeated several times until the two distinct and preferred areas were found. Moreover, in each setting, 4 sets of white: blue: yellow plastic pans were lined perpendicular to the 4 meter transect line, each set 1 meter apart. The placement orders of pan colours were kept constant for each transects during two sessions. Furthermore, the soapy water was added to each plastic pan and group members left both areas to avoid any disturbance. After waiting for approximately two hours the numbers of insects (abundance) trapped in each pan for both areas was recorded.
DOI: 10.6084/m9.figshare.1594790
title: Things that effect tree growth

description: Group Members: Brittney Jorisch, Joelle Brooker, Karin Yosefi, Kamil Adamczewski. The purpose of this lab was to see how sunlight and crowdiness effected the growth of maple trees, using DBH as measure of health and age. Only maple trees taller then 180 centimemteres were used in the experiment. A group of four split up into two, each with two transacts, 3 meteres each, were set up around a choosen tree to make the outline of a box, and the other two sides of the box were imagined. The number of plants and trees inside the box around the choosen tree were counted as crowdiness. Then using our fingers we made a box, and used it as our quadrant to estimate the canopy coverage over the selected tree, which was estimated on a range between 0-100. Then diameter breast height was calculated using a transact, to measure the width of the tree, this also gave an estimation of the age and health of the tree. Sample size is 50, the data was collected over the course of two days, October 15, and 22, 2015 in York University, Danby Woodlot.
DOI: 10.6084/m9.figshare.1594792
title: Structural Root Modelling

description: Presentation on structural root modelling.
DOI: 10.6084/m9.figshare.1594793
title: Ecology Lab 4-Own Experiment Dataset

description: Group members: Harshvir Hehar, Amrutha Balamurgan, Olivia Kazmierczak, Adilah Ismail. This study took place at the Grasslands in York University. There was a lot of grass, plants, and leaves in the Grasslands. However due to the cold temperatures a lot of the species were dying. This experiment took place on a span of two days. The data was collected on Thursday, October 15, 2015 and Thursday, October 22, 2015. 80 White Aster species were observed the first day and 58 were observed on the second day. On October 15 the temperature was 10 but it was really windy and it was raining quite a lot. It was quite cold and gloomy outside. On October 22 the temperature was 15 and it was still cold but it was sunny out. Due to the cold temperatures outside the White Aster species that we were observing were dying out. Also due to the cold temperatures our abundance was quite low as all the other species in the Grasslands were also dying. The sampling size of this study is 138 White Aster flowers. Our goal was to collect data on 80 White Aster species but we managed to do 138. This data was collected by setting out 1m by 1m quadrats randomly in the Grasslands but selecting for places where the species were found. We mostly sampled in areas with not so tall grass. All the White Aster species that were in the quadrat were counted. Some of the places where we had set up the quadrats had high grass abundance some had less but in general there was a lot of grass. The purpose of this data was to collect data on the White Aster species that were found in the Grasslands. We measured the number of leaves by counting them with our fingers. We counted all the leaves that were greater than 3 centimeters. We also measured the height of the plant in centimeters by using a transect and abundance was estimated. The abundance was estimated by looking at a small sample and multiplying that by the total area. This study was conducted to see if there is a correlation between the plant height and the number of leaves that a plant has relating to its density (abundance).
DOI: 10.6084/m9.figshare.1594790.v1
title: Things that effect tree growth

description: Group Members: Brittney Jorisch, Joelle Brooker, Karin Yosefi, Kamil Adamczewski. The purpose of this lab was to see how sunlight and crowdiness effected the growth of maple trees, using DBH as measure of health and age. Only maple trees taller then 180 centimemteres were used in the experiment. A group of four split up into two, each with two transacts, 3 meteres each, were set up around a choosen tree to make the outline of a box, and the other two sides of the box were imagined. The number of plants and trees inside the box around the choosen tree were counted as crowdiness. Then using our fingers we made a box, and used it as our quadrant to estimate the canopy coverage over the selected tree, which was estimated on a range between 0-100. Then diameter breast height was calculated using a transact, to measure the width of the tree, this also gave an estimation of the age and health of the tree. Sample size is 50, the data was collected over the course of two days, October 15, and 22, 2015 in York University, Danby Woodlot.
DOI: 10.6084/m9.figshare.1594814.v2
title: Fly coordinates

description: Fly Coordinates
DOI: 10.6084/m9.figshare.1594793.v1
title: Ecology Lab 4-Own Experiment Dataset

description: Group members: Harshvir Hehar, Amrutha Balamurgan, Olivia Kazmierczak, Adilah Ismail. This study took place at the Grasslands in York University. There was a lot of grass, plants, and leaves in the Grasslands. However due to the cold temperatures a lot of the species were dying. This experiment took place on a span of two days. The data was collected on Thursday, October 15, 2015 and Thursday, October 22, 2015. 80 White Aster species were observed the first day and 58 were observed on the second day. On October 15 the temperature was 10 but it was really windy and it was raining quite a lot. It was quite cold and gloomy outside. On October 22 the temperature was 15 and it was still cold but it was sunny out. Due to the cold temperatures outside the White Aster species that we were observing were dying out. Also due to the cold temperatures our abundance was quite low as all the other species in the Grasslands were also dying. The sampling size of this study is 138 White Aster flowers. Our goal was to collect data on 80 White Aster species but we managed to do 138. This data was collected by setting out 1m by 1m quadrats randomly in the Grasslands but selecting for places where the species were found. We mostly sampled in areas with not so tall grass. All the White Aster species that were in the quadrat were counted. Some of the places where we had set up the quadrats had high grass abundance some had less but in general there was a lot of grass. The purpose of this data was to collect data on the White Aster species that were found in the Grasslands. We measured the number of leaves by counting them with our fingers. We counted all the leaves that were greater than 3 centimeters. We also measured the height of the plant in centimeters by using a transect and abundance was estimated. The abundance was estimated by looking at a small sample and multiplying that by the total area. This study was conducted to see if there is a correlation between the plant height and the number of leaves that a plant has relating to its density (abundance).
DOI: 10.6084/m9.figshare.1594787
title: Experimental design training & your own experiment- Lab #4

description: The members who collected this data together were Adilah Ismail, Harshvir Hehar, Amrutha Balamurugan and Olivia Kazmierczak. The study sight was a grass land on campus which was cloudy and rainy the first day of collecting data and the second day was very sunny and very few clouds. Each day of collecting data was a week apart. Because of the time of year many of the species that are usually found in the grasslands had died because of the decrease in temperature. There was also minimal amount of trees in the grassland allowing a lot of sunlight the second day of observations. The grassland had very few trees and there were two major areas, an area with tall species including grass and an area with average height grass as well as other species. Most of the data collected for this experiment was done in the low height portion of the grasslands. This experiment took 2 hours on day one and 2 hours on day two to complete the observation component of the experiment. A quadrant (1 meter by 1 meter) was used to estimate abundance of each area where the white aster was found. The white aster grows in a clumped fashion making it easy to find a bunch together and lay out a quadrant around them. The abundance as well as height (in centimeters) as well as amount of leaves (greater than 3 cm) were also collected for the experiment using transacts. A total sample size of 117 white asters was observed recorded and data collected. The quadrants were placed each time a cluster of white asters was spotted, making sure no cluster was not recorded and the same one wasn’t recorded twice. The reasoning for this experiment is to view the relation that abundance has on the height (vertical space) of a white aster plant as well as the number of leaves it grows (horizontal space).
DOI: 10.6084/m9.figshare.1594787.v1
title: Experimental design training & your own experiment- Lab #4

description: The members who collected this data together were Adilah Ismail, Harshvir Hehar, Amrutha Balamurugan and Olivia Kazmierczak. The study sight was a grass land on campus which was cloudy and rainy the first day of collecting data and the second day was very sunny and very few clouds. Each day of collecting data was a week apart. Because of the time of year many of the species that are usually found in the grasslands had died because of the decrease in temperature. There was also minimal amount of trees in the grassland allowing a lot of sunlight the second day of observations. The grassland had very few trees and there were two major areas, an area with tall species including grass and an area with average height grass as well as other species. Most of the data collected for this experiment was done in the low height portion of the grasslands. This experiment took 2 hours on day one and 2 hours on day two to complete the observation component of the experiment. A quadrant (1 meter by 1 meter) was used to estimate abundance of each area where the white aster was found. The white aster grows in a clumped fashion making it easy to find a bunch together and lay out a quadrant around them. The abundance as well as height (in centimeters) as well as amount of leaves (greater than 3 cm) were also collected for the experiment using transacts. A total sample size of 117 white asters was observed recorded and data collected. The quadrants were placed each time a cluster of white asters was spotted, making sure no cluster was not recorded and the same one wasn’t recorded twice. The reasoning for this experiment is to view the relation that abundance has on the height (vertical space) of a white aster plant as well as the number of leaves it grows (horizontal space).
DOI: 10.6084/m9.figshare.1594792.v1
title: Structural Plant Modelling

description: Presentation on structural root modelling.
DOI: 10.6084/m9.figshare.1594814.v3
title: Fly coordinates

description: Fly Coordinates
DOI: 10.6084/m9.figshare.1594814.v5
title: Fly coordinates

description: Fly Coordinates
DOI: 10.6084/m9.figshare.1594792.v2
title: Structural Plant Modelling

description: Presentation on structural root modelling.
DOI: 10.6084/m9.figshare.1594783
title: Meta Data/Experimental Design 2015

description: The purpose of this study was to look at the difference in the composition and the species richness of plants between the grasslands and the woodlands across York University campus. The materials needed to perform this experiment were: -Data sheet. -A quadrat that was made of measuring tape (30 meters). -Plant identification book. -A camera (used phone camera). -Google maps (to apply the grid on the sites and divide them) -Google drive (to share the data) Two groups, each with two scientists were sent out to three different sites every day. The group’s members were assigned randomly and the sites for each group were assigned randomly by using Excel. The priority of the sites were random as well. Each group had to collect data from three quadrats for each site. The sites were divided into 100 quadrats. Each site was 2,500 meters squared (50 m by 50 m), and each quadrat was 25 meters squared (5 m by 5 m). The quadrats were picked up randomly by Excel. The data involved the species richness and plants composition for both habitats. Each branch of plant that come from the soil was counted as a plant. The only exception was counting the grass, it was almost impossible to count all the grass, so method used to count them was by picking a small portion of the quadrat and count the grass in it and multiply that by the total area of the quadrat. The plants that were touching the quadrats were included in the count. In the woodland, the trees that were dead (dry and no leaves) were not counted in the data. Pictuers were taken to the sites as reference. Note: the sites maps and the grid are posted on Google Drive: https://drive.google.com/folderview?id=0Bw8qTKONoFrHenB0R19WLTZlaDQ&usp=sharing
DOI: 10.6084/m9.figshare.1594814.v4
title: Fly coordinates

description: Fly Coordinates
DOI: 10.6084/m9.figshare.1594783.v2
title: Meta Data/Experimental Design 2015

description: The purpose of this study was to look at the difference in the composition and the species richness of plants between the grasslands and the woodlands across York University campus. The materials needed to perform this experiment were: -Data sheet. -A quadrat that was made of measuring tape (30 meters). -Plant identification book. -A camera (used phone camera). -Google maps (to apply the grid on the sites and divide them) -Google drive (to share the data) Two groups, each with two scientists were sent out to three different sites every day. The group’s members were assigned randomly and the sites for each group were assigned randomly by using Excel. The priority of the sites were random as well. Each group had to collect data from three quadrats for each site. The sites were divided into 100 quadrats. Each site was 2,500 meters squared (50 m by 50 m), and each quadrat was 25 meters squared (5 m by 5 m). The quadrats were picked up randomly by Excel. The data involved the species richness and plants composition for both habitats. Each branch of plant that come from the soil was counted as a plant. The only exception was counting the grass, it was almost impossible to count all the grass, so method used to count them was by picking a small portion of the quadrat and count the grass in it and multiply that by the total area of the quadrat. The plants that were touching the quadrats were included in the count. In the woodland, the trees that were dead (dry and no leaves) were not counted in the data. Pictuers were taken to the sites as reference. Note: the sites maps and the grid are posted on Google Drive: https://drive.google.com/folderview?id=0Bw8qTKONoFrHenB0R19WLTZlaDQ&usp=sharing
DOI: 10.6084/m9.figshare.1594783.v1
title: Meta Data

description: The purpose of this study was to look at the difference in the composition and the species richness of plants between the grasslands and the woodlands across York University campus. The materials needed to perform this experiment were: -Data sheet. -A quadrat that was made of measuring tape (30 meters). -Plant identification book. -A camera (used phone camera). -Google maps (to apply the grid on the sites and divide them) -Google drive (to share the data) Two groups, each with two scientists were sent out to three different sites every day. The group’s members were assigned randomly and the sites for each group were assigned randomly by using Excel. The priority of the sites were random as well. Each group had to collect data from three quadrats for each site. The sites were divided into 100 quadrats. Each site was 2,500 meters squared (50 m by 50 m), and each quadrat was 25 meters squared (5 m by 5 m). The quadrats were picked up randomly by Excel. The data involved the species richness and plants composition for both habitats. Each branch of plant that come from the soil was counted as a plant. The only exception was counting the grass, it was almost impossible to count all the grass, so method used to count them was by picking a small portion of the quadrat and count the grass in it and multiply that by the total area of the quadrat. The plants that were touching the quadrats were included in the count. In the woodland, the trees that were dead (dry and no leaves) were not counted in the data. Pictuers were taken to the sites as reference. Note: the sites maps and the grid are posted on Google Drive: https://drive.google.com/folderview?id=0Bw8qTKONoFrHenB0R19WLTZlaDQ&usp=sharing
DOI: 10.6084/m9.figshare.1594765
title: ASI 2015 Talk: Mixed-Mode Meta-Analyses

description: Bosnjak, M. (2015, November). Mixed-mode surveys and data quality: Meta-analytic evidence and avenues for future research. Talk given at the ´Gemeinsame Tagung der Arbeitsgemeinschaft Sozialwissenschaftlicher Institute e.V. (ASI) und der Sektion Methoden der Deutschen Gesellschaft für Soziologie´, November 6-7, 2015, Cologne, Germany.
DOI: 10.6084/m9.figshare.1594769
title: Grasping in one-handed catching in relation to performance: Data Set used for the analysis

description: <b>Data of analysis variables for all the individuals and experimental conditions. </b>First column reports the subjects ID. Second and third columns report the categorical variable indicating the different experimental conditions (iT [1,2,3], iZ =[1 2]).. Forth column reports the catching performance outcome (i.e. 1= grasped, 0 = touched , 2 = missed). Subsequent columns report the hand and wrist kinematic features analyzed in the preset study and described in the methods section of the manuscript
DOI: 10.6084/m9.figshare.1594765.v1
title: ASI 2015 Talk: Mixed-Mode Meta-Analyses

description: Bosnjak, M. (2015, November). Mixed-mode surveys and data quality: Meta-analytic evidence and avenues for future research. Talk given at the ´Gemeinsame Tagung der Arbeitsgemeinschaft Sozialwissenschaftlicher Institute e.V. (ASI) und der Sektion Methoden der Deutschen Gesellschaft für Soziologie´, November 6-7, 2015, Cologne, Germany.
DOI: 10.6084/m9.figshare.1594769.v1
title: S1.Table.xls

description: <b>Data of analysis variables for all the individuals and experimental conditions. </b>First column reports the subjects ID. Second and third columns report the categorical variable indicating the different experimental conditions (iT [1,2,3], iZ =[1 2]).. Forth column reports the catching performance outcome (i.e. 1= grasped, 0 = touched , 2 = missed). Subsequent columns report the hand and wrist kinematic features analyzed in the preset study and described in the methods section of the manuscript