cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1561335.v2
title: Ecology 2050- Field data- Late Purple Aster- Dataset 2- Transect

description: This lab was conducted on September 24th 2015 from 2.30 PM to 5.30 PM, at York University and the dataset was collected from Grasslands located next to Danby woodlot. The weather was cloudy and partially sunny with a temperature of 21 degrees Celsius. There was hardly any wind to interfere with field training. The purpose of this lab was to teach how to collect field data for a very first time and familiarize us with sampling tools, such as traits, transects and quadrats. These tools make it easier to understand the relation between several variables and their effects on each other. All group members contributed to collecting data for all of four datasets, but each member only submits one. Late Purple Aster (Aster prenathoides) was selected as the target species for Grassland data set 2 because it was easily recognizable in the field. Each group was provided with two transect tapes, one of which was used for measuring distances and the other one was used for measuring the length of each target plant. To begin with, the transect tape was tied to a tree branch, which was chosen randomly. Since the measuring tape started at 3in because of the tied knot, we subtracted it from every measured distance to record the actual value. From the starting point, we chose a random direction and walked in a straight line. Every time the line touched the target plant we observed, read, and recorded the distance shown on the transect tape. Then with our second transect tape, we measured the length of the plant. If the plant was bent we held it up (without pulling it) and measured its length from its highest point to the ground level. For every Late Purple Aster, three other data were recorded: the number of leaves, the number of flowers, and the level of crowding (0-3). We first started to count each flower and leaf, but as we got used to it we could estimate their number by observing the plant. Crowding level refers to the number of plants which surround the target plant. There are three levels to it: 0= no plants, 1= one plant, 2= two to three plants, 3= more than three plants. We limited the last observation only within a 30 centimeters radius of the target plant (an estimation made by vision). These assumptions are specific to this dataset only. Finally, we repeated this process until we gathered those data for 20 individuals.
DOI: 10.6084/m9.figshare.1560592
title: Grassland Dataset 1

description: The purpose of this lab was to experience field training with plants and to collect datasets to familiarize with sampling tools.It took place in the Danby Grassland and Woodlot area on September 24th 2015 between 2:30pm and 4:20pm. Each of the 4 members - Simranjit Kang, Ava Kamali, Katrin Chapkis, Jennifer Mariathas - of the group contributed to collecting data. We used quadrats to record the dataset. Sample size is 20.
DOI: 10.6084/m9.figshare.1561269.v1
title: BIOL 2050 - Grassland Data Set #2

description: This dataset was collected by Eman, Azeb, Bava and Saraswatie. Multiple Cow’s Vetch (Vicia cracca) were measured along a transect line. Twenty different replicates were observed and recorded. Recorded measurements included distances of each plant along the transect line and the height of the plant from the root to the highest point. The measurements used were recorded in feet and inches. Recorded observations also included number of leaves on each plant. Any leaves found on the plant were counted regardless of their shape or size with the exception of leaves which appeared to be dead. Dead leaves were excluded from the data collection. Number of flowers on the actual plant was also observed and recorded. Individual flower pedals were counted by one member of the group in order to save time. Any flower that was located on the plant that was being observed was counted regardless of their shape or size. If the colouration indicated a dead flower or if it was blatantly obvious, the dead flower was not counted. Level of Crowdedness was also recorded. A range of 0-3 was used to indicate the level of crowdedness surrounding the plant under observance. If the plant was free from any form of crowdedness, a level of 0 was given. If the plant was surrounded by small amounts of vegetation, the rating given was 1. If the plant was surrounded by normal amounts of vegetation, it was given a 2 and if it was extremely crowded by vegetation, a 3 was given. This was a mensurative experiment as no experimental techniques were used. Data collection occurred in the Danby grasslands at York University - Keele Campus on September 24, 2015 at approximately 3:40pm to 4:20pm. The weather was approximately 21 degrees with varying sun and cloud activity. The grasslands were dry as no rain had fallen before our arrival. The vegetation of the grasslands would also increase the further you walked in. Occasional insects such as bees and flies would roam the area. The datasets were collected in a group of four, with each member contributing results. The purpose of this lab was to attain valuable field work experience in collecting and reporting data by recording it for plant populations.
DOI: 10.6084/m9.figshare.1561335.v4
title: Ecology 2050- Field data- Late Purple Aster- Grassland Dataset 2- Transect

description: Group members: Katrin Chapkis, Ava Kamali, Simranjit Kang, Jennifer Mariatha This lab was conducted on September 24th 2015 from 2.30 PM to 5.30 PM, at York University. The dataset was collected from Grasslands located next to Danby woodlot. The weather was cloudy and partially sunny with a temperature of 21 degrees Celsius. There was hardly any wind to interfere with field training. The purpose of this lab was to teach how to collect field data for a very first time and familiarize us with sampling tools, such as traits, transects and quadrats. These tools make it easier to understand the relation between several variables and their effects on each other. All group members contributed to collecting data for all of four datasets, but each member only submits one. Late Purple Aster (Aster prenathoides) was selected as the target species for Grassland data set 2 because it was easily recognizable in the field. This flower was identified according to information provided in the Practical ecology website. Each group was provided with two transect tapes, one of which was used for measuring distances and the other one was used for measuring the length of each target plant. To begin with, the transect tape was tied to a tree branch, which was chosen randomly. Since the measuring tape started at 3in dut to the tied knot, we subtracted that portion from each measured distance to record the actual value. From the starting point, we chose a random direction and walked in a straight line. Every time the line touched the target plant we observed, read, and recorded the distance shown on the transect tape. Then with our second transect tape, we measured the length of the plant. If the plant was bent we held it up (without pulling it) and measured its length from its highest point to the ground level. For every Late Purple Aster, three other data were recorded: the number of leaves, the number of flowers, and the level of crowding (0-3). We first started to count each flower and leaf, but as we got familiar to it we were able to estimate their number by observing the plant. Crowding level refers to the number of plants which surround the target plant. There are three levels to it: 0= no plants, 1= one plant, 2= two to three plants, 3= more than three plants. We limited the last observation within a 30 centimeters radius of the target plant to check its surrounding easier (an estimation made by vision). These assumptions are specific to this dataset only. Finally, we repeated this process until we gathered enough data for 20 individuals.
DOI: 10.6084/m9.figshare.1560089
title: Ecology BIOL 2050 Lab 2 - Grassland Dataset 1

description: Group Members: Kamil Adamczewski, Joelle Brooker, Brittney Jorisch, Karin Yosefi. This dataset was collected at a grassland near Danby Woodlot near the campus of York University in Toronto. It was collected on September 24, 2015 from 3:00pm to 3:15pm. The weather was sunny, partly cloudy, with a temperature of roughly 24 degrees Celcius. The grassland was fairly flat, had a patchy distribution of flowers/plants and had its grass cut over a month ago. The experiment consisted of throwing a 1 metre by 1 metre quadrat 20 times (n=20) onto the grassland. It was thrown randomly by group members after they had walked an unpredetermined amount of steps. After the quadrat had landed, the data for total abundance, % cover, % grass cover, and richness was collected. The purpose for collecting this data was to practice new sampling techniques that could be used to find correlations between variables being studied. For this dataset, the purpose was to find if there was a correlation between the total abundance of plants present in the quadrat to the cover size and number of species.
DOI: 10.6084/m9.figshare.1561335.v3
title: Ecology 2050- Field data- Late Purple Aster- Dataset 2- Transect

description: Group members: Katrin Chapkis, Ava Kamali, Simranjit Kang, Jennifer Mariatha This lab was conducted on September 24th 2015 from 2.30 PM to 5.30 PM, at York University. The dataset was collected from Grasslands located next to Danby woodlot. The weather was cloudy and partially sunny with a temperature of 21 degrees Celsius. There was hardly any wind to interfere with field training. The purpose of this lab was to teach how to collect field data for a very first time and familiarize us with sampling tools, such as traits, transects and quadrats. These tools make it easier to understand the relation between several variables and their effects on each other. All group members contributed to collecting data for all of four datasets, but each member only submits one. Late Purple Aster (Aster prenathoides) was selected as the target species for Grassland data set 2 because it was easily recognizable in the field. Each group was provided with two transect tapes, one of which was used for measuring distances and the other one was used for measuring the length of each target plant. To begin with, the transect tape was tied to a tree branch, which was chosen randomly. Since the measuring tape started at 3in dut to the tied knot, we subtracted that portion from each measured distance to record the actual value. From the starting point, we chose a random direction and walked in a straight line. Every time the line touched the target plant we observed, read, and recorded the distance shown on the transect tape. Then with our second transect tape, we measured the length of the plant. If the plant was bent we held it up (without pulling it) and measured its length from its highest point to the ground level. For every Late Purple Aster, three other data were recorded: the number of leaves, the number of flowers, and the level of crowding (0-3). We first started to count each flower and leaf, but as we got familiar to it we were able to estimate their number by observing the plant. Crowding level refers to the number of plants which surround the target plant. There are three levels to it: 0= no plants, 1= one plant, 2= two to three plants, 3= more than three plants. We limited the last observation within a 30 centimeters radius of the target plant to check its surrounding easier (an estimation made by vision). These assumptions are specific to this dataset only. Finally, we repeated this process until we gathered enough data for 20 individuals.
DOI: 10.6084/m9.figshare.1560086
title: Ecology Lab 2- Calculating population density

description: This set of data was collected by group of 5 individuals. The sampling processs took place in the grasslands with 20 different locations minimizing the risk for overlapping. The data obtained from the study the richness of plant species found in the grasslands.
DOI: 10.6084/m9.figshare.1560089.v1
title: Ecology BIOL 2050 Lab 2 - Grassland Dataset 1

description: Group Members: Kamil Adamczewski, Joelle Brooker, Brittney Jorisch, Karin Yosefi. This dataset was collected at a grassland near Danby Woodlot near the campus of York University in Toronto. It was collected on September 24, 2015 from 3:00pm to 3:15pm. The weather was sunny, partly cloudy, with a temperature of roughly 24 degrees Celcius. The grassland was fairly flat, had a patchy distribution of flowers/plants and had its grass cut over a month ago. The experiment consisted of throwing a 1 metre by 1 metre quadrat 20 times (n=20) onto the grassland. It was thrown randomly by group members after they had walked an unpredetermined amount of steps. After the quadrat had landed, the data for total abundance, % cover, % grass cover, and richness was collected. The purpose for collecting this data was to practice new sampling techniques that could be used to find correlations between variables being studied. For this dataset, the purpose was to find if there was a correlation between the total abundance of plants present in the quadrat to the cover size and number of species.
DOI: 10.6084/m9.figshare.1560081
title: Global_modern_groundwater_Gleesonetal

description: Groundwater age transport modeling results from "The global volume and distribution of modern groundwater" by Gleeson et al. (2015) Nature Geoscience.http://www.nature.com/doifinder/10.1038/ngeo2590<br>Gleeson, T., K. M. Befus, S. Jasechko, E. Luijendijk, and M. B. Cardenas (2015), The global volume and distribution of modern groundwater, Nat. Geosci., (November), 1–15, doi:10.1038/ngeo2590.
DOI: 10.6084/m9.figshare.1560082
title: Network Models in Morphology. Congreso Naciona de Herpetología. Tucuman, Argentina

description: Plenary talk at the Argentinian National Meeting of Herpetology in Tucuman, Argentina.
DOI: 10.6084/m9.figshare.1560086.v2
title: Ecology Lab 2- Calculating population density

description: This set of data was collected by group of 5 individuals. The sampling processs took place in the grasslands with 20 different locations minimizing the risk for overlapping. The data obtained from the study the richness of plant species found in the grasslands.
DOI: 10.6084/m9.figshare.1560087.v1
title: Lab 2 - field training with plants - Dataset 4

description: Group Members (group 1): Gopaul Parbatie, Albert Lin, Gajamugan Rajavarothayan, 4th guy who joined our group because Arman dropped, but I didn't get his name. He was brown and wore glasses.<br><br>Methods for Dataset 4:<br><br>Dataset 4 of this study was done in a York University woodlot, from approximately 4:30 pm to 5:00 pm on Thursday September 24th 2015. The weather was clear outside, with no precipitation. 10 pairs of maple trees were sampled. One pair consists of an adult maple and its nearest sapling. The observer, Gopaul Parbatie, measured the DBH of an adult maple tree, identifying it by the leaf shape, measured the distance to the nearest sapling, and measured the DBH of that sapling, using a transect tape measure and the help of members of Group 1. This was repeated 9 times for a total of 10 pairs. Gopaul estimated canopy coverage by using his index fingers and thumbs to make a box and then pointing that box at the canopy of the adult tree to estimate the percent area the leaves covered. This was repeated for all 10 adult trees. In the case where the saplings were too small to measure DBH at breast hieght, the middle of the trunk was measured instead. The purpose of this part of the study was to train and gain the skills of using transects, identifying plant species, and practice recording observable traits.
DOI: 10.6084/m9.figshare.1560082.v1
title: Network Models in Morphology. Congreso Naciona de Herpetología. Tucuman, Argentina

description: Plenary talk at the Argentinian National Meeting of Herpetology in Tucuman, Argentina.
DOI: 10.6084/m9.figshare.1560086.v1
title: Ecology Lab 2- Calculating population density

description: This set of data was collected by group of 5 individuals. The sampling processs took place in the grasslands with 20 different locations minimizing the risk for overlapping. The data obtained from the study the richness of plant species found in the grasslands.
DOI: 10.6084/m9.figshare.1560072
title: Lab 02: Dataset 3 - Sampling of adult trees at Danby woodlot.

description: The experiment was conducted on September 24,2015 at Danby woodlot, York university around 2:30-5:20pm. The temperature was around 21° C with bright clear sky. The experiment was done along with Harshvir Hehar, Olivia Kazmierczak and Adilah Ismail. The purpose of the experiment was to identify different plant species and become familiar with collecting data using sampling tools such as the transect. A transect measuring tape was laid out in a straight line from the edge of woodlot to the centre of woodlot. An adult tree that met the criteria i.e. a tree twice as the height of observer was located along the transect. The diameter at breast height of this adult tree (50 inches from the ground) was measured in inches using the tape. A distance from this adult tree to the next closest adult tree along the transect was located and measured in inches using a second transect. The diameter at breast height of the second tree (50 inches from the ground) was also recorded. The condition of the tree was observed simply with our eyes which ranged from a scale of 0-2 with 0 being dead, 1 being living and 2 being a tree with full green canopy. This step was repeated 9 more times to get a total pair of 10 replicates with each replicate pair consisting of two adult trees. Therefore the sample size for this experiment was 20.
DOI: 10.6084/m9.figshare.1560071
title: Lab 2: Woodlot Dataset 4

description: Group members: Harshvir Hehar, Amrutha Balamurgan, Olivia Kazmierczak, Adilah Ismail. This study took place at the Woodlots in York University. The sampling size of this study was 10 pairs (or 20 trees in total) of adult and sapling Maple trees that were randomly selected. We considered trees that had a diameter breast height of 3.5 and under a sapling maple tree and anything above 3.5 was considered an adult maple tree. This data was collected by walking around in the York Woodlots. We were looking around for a pair of an adult and sapling maple trees in close proximity to one another. The purpose of this study was to collect data regarding the distance between an adult maple tree and the closest sapling maple tree (how far the adult and sapling trees are from one another). The diameter breast height was taken of both the trees along with the adult tree’s coverage.
DOI: 10.6084/m9.figshare.1560071.v1
title: Lab 2: Woodlot Dataset 4

description: Group members: Harshvir Hehar, Amrutha Balamurgan, Olivia Kazmierczak, Adilah Ismail. This study took place at the Woodlots in York University. The sampling size of this study was 10 pairs (or 20 trees in total) of adult and sapling Maple trees that were randomly selected. We considered trees that had a diameter breast height of 3.5 and under a sapling maple tree and anything above 3.5 was considered an adult maple tree. This data was collected by walking around in the York Woodlots. We were looking around for a pair of an adult and sapling maple trees in close proximity to one another. The purpose of this study was to collect data regarding the distance between an adult maple tree and the closest sapling maple tree (how far the adult and sapling trees are from one another). The diameter breast height was taken of both the trees along with the adult tree’s coverage.
DOI: 10.6084/m9.figshare.1560087.v2
title: Lab 2 - field training with plants - Dataset 4

description: Group Members (group 1): Gopaul Parbatie, Albert Lin, Gajamugan Rajavarothayan, 4th guy who joined our group because Arman dropped, but I didn't get his name. He was brown and wore glasses.<br><br>Methods for Dataset 4:<br><br>Dataset 4 of this study was done in a York University woodlot, from approximately 4:30 pm to 5:00 pm on Thursday September 24th 2015. The weather was clear outside, with no precipitation. 10 pairs of maple trees were sampled. One pair consists of an adult maple and its nearest sapling. The observer, Gopaul Parbatie, measured the DBH of an adult maple tree, identifying it by the leaf shape, measured the distance to the nearest sapling, and measured the DBH of that sapling, using a transect tape measure and the help of members of Group 1. This was repeated 9 times for a total of 10 pairs. Gopaul estimated canopy coverage by using his index fingers and thumbs to make a box and then pointing that box at the canopy of the adult tree to estimate the percent area the leaves covered. This was repeated for all 10 adult trees. In the case where the saplings were too small to measure DBH at breast hieght, the middle of the trunk was measured instead. The purpose of this part of the study was to train and gain the skills of using transects, identifying plant species, and practice recording observable traits.
DOI: 10.6084/m9.figshare.1560081.v1
title: Global_modern_groundwater_Gleesonetal

description: Groundwater age transport modeling results from "The global volume and distribution of modern groundwater" by Gleeson et al. (2015) Nature Geoscience.http://www.nature.com/doifinder/10.1038/ngeo2590<br>Gleeson, T., K. M. Befus, S. Jasechko, E. Luijendijk, and M. B. Cardenas (2015), The global volume and distribution of modern groundwater, Nat. Geosci., (November), 1–15, doi:10.1038/ngeo2590.
DOI: 10.6084/m9.figshare.1560087.v3
title: Lab 2 - field training with plants - Dataset 4

description: lab 2
DOI: 10.6084/m9.figshare.1560068
title: Determing the distances, dbh and conditions of trees measured along transect line- Lab 2 Dataset 3

description: This experiment was conducted at the Danby Woodlot at York University on September 23, 2015 between the times of 4:00 to 5:30 pm EST. The weather consisted of clear skies and sunshine with an approximate temperature of 21 C. The objective of this experiment was to compare adult trees and the closest tree measured along a 25 m transect line placed randomly from the edge of the Danby Woodlot to the centre of the woodlot. The observations collected included measurements of the distance between the adult tree encountered on the transect line to the closest tree, the diameter of both trees at breast height (Same experimenter was used to measure the diameter to reduce accuracy and precision errors) and each tree’s condition using a scale between 0-2 where 0 is dead, 1 is living and 2 is huge green canopy. Each tree’s condition was determined visually and was also based on the reference of the sample tree identified by the TA. Upon confronting an adult tree along the transect line, the distance was measured in inches using a transect measuring tape from the edge of adult tree to the first encounter of the closest tree on the transect tape. The diameter at breast height was determined using a transect measuring tape, measured in inches, from one edge of the tree to another using the breast height of the experimenter (at overall height of 5’6”) as the centre of the tree. The sample size was 20. The group members included Bavatharane, Azeb, Eman and Saraswatie.