cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1559024
title: Recombination produces coherent bacterial species clusters in both core and accessory genomes

description: R code to run the model as published in <em>Microbial Genomics</em> in the following article: 'Recombination produces coherent bacterial species clusters in both core and accessory genomes' [10.1099/mgen.0.000038]
DOI: 10.6084/m9.figshare.1559042
title: The Effect of Carry-over Coarticulation of Disyllabic words in Chinese

description: - In this study, the V-to-V coarticulatory effect in the VCV sequences is investigated. The stimuli are in the form of C1V1.C2V2, which is designed for V1 to affect V2. The subjects are twelve native speakers of standard Chinese, and the F2 onset value, as well as the F2 delta value, is analyzed. Results show that, due to long temporal separation between vowels for the aspirated stops relative to the unaspirated ones, the effect of aspiration is obvious, and in the contexts of aspirated stops, the effect of place of articulation is restrained.
DOI: 10.6084/m9.figshare.1559044.v1
title: Effect of Isolate of Trichoderma Sp. And Incubation Period to Glucose Production

description: This study was carried out to determine the effect of isolates of Trichoderma sp. and the incubation period to glucose production. A glucose produced by the three isolates of Trichoderma sp. (TV.0209, TV.0305 and TV.0710) which were obtained from the collection of the Laboratory of Microbiology, Department of Chemical Engineering of The State Polytechnic of Malang. It was determined that the isolates had a significant correlation in producing glucose with incubation period for 10 days. Data were then analyzed using two-way anova with the alpha of 5% and using Microsoft Excel. Isolate TV.0209 was capable to produce the highest average of a total glucose production (3,616 ppm) when compared with TV.0305 (3,253 ppm) and TV.0710 (2,448 ppm). The optimum incubation period of treatment isolate variables was achieved during 6 days.
DOI: 10.6084/m9.figshare.1559043.v1
title: Fuzzy Models for Teaching Assessment

description: The concept of teaching is the fundamental study of student’s cognitive action. In this paper a Trapezoidal Fuzzy Assessment model (TFAM) is developed for teaching assessment. The TFAM is a new variation of a special form, which is used in Fuzzy mathematics centre of gravity(COG) defuzzification technique. The TFAM’s new idea is the replacement of the rectangles appearing in the graph of the COG method by isosceles trapezoids sharing common parts, thus covering the ambiguous cases of teachers’ scores being at the limits between two successive grades (e.g between A and B). A classroom application is also presented in which the outcomes of the COG and TFAM methods are compared with those of other traditional assessment methods (calculation of means and GPA index) and explanations are provided for the differences appeared among these outcomes .
DOI: 10.6084/m9.figshare.1559023
title: Recombination produces coherent bacterial species clusters in both core and accessory genomes

description: Animation 1,2 & 3 as published in <em>Microbial Genomics </em>in the following article: 'Recombination produces coherent bacterial species clusters in both core and accessory genomes' [DOI: 10.1099/mgen.0.000038]
DOI: 10.6084/m9.figshare.1559024.v1
title: Recombination produces coherent bacterial species clusters in both core and accessory genomes

description: R code to run the model as published in <em>Microbial Genomics</em> in the following article: 'Recombination produces coherent bacterial species clusters in both core and accessory genomes' [10.1099/mgen.0.000038]
DOI: 10.6084/m9.figshare.1559023.v1
title: Recombination produces coherent bacterial species clusters in both core and accessory genomes

description: Animation 1,2 & 3 as published in <em>Microbial Genomics </em>in the following article: 'Recombination produces coherent bacterial species clusters in both core and accessory genomes' [DOI: 10.1099/mgen.0.000038]
DOI: 10.6084/m9.figshare.1559004
title: Woodlot Dataset 3- Sampling Trees using Transect

description: The experiment the dataset was collected on was conducted on Tuesday September 22nd 2015 from approximately 4:00-4:45 PM at the Osgoode Woodlot area at York University. The temperature of the area was around 22°C with a clear sunny sky. But due to the experiment being in the woodlot area the tree canopies covered most of the light leaving it very dimly lit with a cooler overall temperature. The experiment was done together with Maleeha, Laiba and Rachel. There were 4 datasets to complete in the experiment and each group member was assigned one dataset to further analyze. I was assigned to complete dataset #3 with the help of my partner, Maleeha. The experiment started off at the edge of the Osgoode Woodlot. We walked in a straight line towards the center of the woodlot. Every adult tree (twice the observer’s height around 340cm) encountered, we measured the distance between it to the closest adult tree nearby with the transect tape in metres at the breast height of the observer (around 140cm), therefore forming a pair (replicate). We also measured the diameter (dph) of the paired trees using the transect tape in centimetres at the breast height (around 140cm) of the observer. As well as the condition of the trees from the ratings 0-2 (0=dead, 1=living, 2=huge green canopy). This procedure was repeated 9 more times to get a total of 10 pairings (replicates). It was recorded by hand during the experiment and then transferred onto Microsoft Excel to further organize the dataset. In this experiment it allows the students to learn how to identify plant species and how to collect the datasets with different sampling tools like the quadrat and transect.
DOI: 10.6084/m9.figshare.1558977
title: WK3 LAB 2 BIO 2050 Dataset 3

description: The dataset 3 was collected on September 22, 2015 at 3:56 pm by a group of 5 Ecology (Bio 2050) students. Data was collected near the Osgoode Library woodlot via transect measuring tapes. The group of students searched for any adult tree at the woodlot or in other words, any tree whose diameter was wider than the diameter of an average adult fist. Once the tree #1 was selected, the group proceeded to measure the tree's diameter. The measuring tape was held at chest height and horizontally extended to measure the diameter of the tree in meters. Afterward, the students assessed the living condition of the tree on a scale from 0 to 2 by observing the general appearance, number, pattern and coloration of leaves along the trunk and canopy as well as any presence of single or multiple dead branches. 0 on the given scale meant that a tree was dead; 1 meant that a tree was living or in acceptable living condition, while 2 indicated a huge green canopy. Then, students proceeded to measure the distance in meters from the tree of interest to the next adult tree by extending the measuring tape from the mid point of tree's trunk to the trunk's mid point of the next closest adult tree. It is important to note that all trees involved in the following collection of data were selected from the edge of woodlot to the center of woodlot moving in a North-South direction. After the first set of measurements, the group proceeded to collect the same type of data from 10 pairs of adult trees in total. The data was recorded, evenly shared amongst the group members and submitted to Figshare.com for assessment.
DOI: 10.6084/m9.figshare.1558941
title: Ecology Lab 2 - Grassland Dataset 2

description: To obtain data for the Golden Rod plant, a transect was placed for 50 metres in a straight line in a populated area of a certain plant, which happened to be the Golden Rod. Once this was done, we walked along the transect and recorded where each plant was on the transect. Once the distance was recorded, its height, number of leaves, number of flowers, and whether it was in a crowded patch of other plants (0 = open, 1 = some plants nearby, 2 = quite a few plants, 3 = very crowded bunch of plants within 50 cm) was measured. This action was supposed to be achieved for 50 individuals however there was insufficient time due to lack of management and only 10 individuals were sampled.
DOI: 10.6084/m9.figshare.1559004.v2
title: Woodlot Dataset 3- Sampling Trees using Transect

description: The experiment the dataset was collected on was conducted on Tuesday September 22nd 2015 from approximately 4:00-4:45 PM at the Osgoode Woodlot area at York University. The temperature of the area was around 22°C with a clear sunny sky. But due to the experiment being in the woodlot area the tree canopies covered most of the light leaving it very dimly lit with a cooler overall temperature. The experiment was done together with Maleeha, Laiba and Rachel. There were 4 datasets to complete in the experiment and each group member was assigned one dataset to further analyze. I was assigned to complete dataset #3 with the help of my partner, Maleeha. The experiment started off at the edge of the Osgoode Woodlot. We walked in a straight line towards the center of the woodlot. Every adult tree (twice the observer’s height around 340cm) encountered, we measured the distance between it to the closest adult tree nearby with the transect tape in metres at the breast height of the observer (around 140cm), therefore forming a pair (replicate). We also measured the diameter (dph) of the paired trees using the transect tape in centimetres at the breast height (around 140cm) of the observer. As well as the condition of the trees from the ratings 0-2 (0=dead, 1=living, 2=huge green canopy). This procedure was repeated 9 more times to get a total of 10 pairings (replicates). It was recorded by hand during the experiment and then transferred onto Microsoft Excel to further organize the dataset. In this experiment it allows the students to learn how to identify plant species and how to collect the datasets with different sampling tools like the quadrat and transect.
DOI: 10.6084/m9.figshare.1558940
title: BIO 2050 Lab 2 Woodlot Dataset 1

description: <strong>Group members: </strong> Karin Yosefi Joelle Brooker Kamil Adamczewski Brittney Jorisch Pairs of trees along a transect were examined for their distance from one another, their diameter at breast height, as well as condition of the trees to determine the relationship between those variables. Equipment used included 2 transects. Data was determined by measurement for tree pairs distances from each other as well as their diameter at breast height, condition was determined visually based on a created score. n = 10. Experiment was conducted at the Danby Woodlots on September 24th at 4:25 PM.
DOI: 10.6084/m9.figshare.1559004.v1
title: Woodlot Dataset 3- Sampling Trees using Transect

description: The experiment the dataset was collected on was conducted on Tuesday September 22nd 2015 from approximately 4:00-4:45 PM at the Danby Woodlot area at York University. The temperature of the area was around 22°C with a clear sunny sky. But due to the experiment being in the woodlot area the tree canopies covered most of the light leaving it very dimly lit with a cooler overall temperature. The experiment was done together with Maleeha, Laiba and Rachel. There were 4 datasets to complete in the experiment and each group member was assigned one dataset to further analyze. I was assigned to complete dataset #3 with the help of my partner, Maleeha. The experiment started off at the edge of the Dandy Woodlot. We walked in a straight line towards the center of the woodlot. Every adult tree (twice the observer’s height around 340cm) encountered, we measured the distance between it to the closest adult tree nearby with the transect tape in metres at the breast height of the observer (around 140cm), therefore forming a pair (replicate). We also measured the diameter (dph) of the paired trees using the transect tape in centimetres at the breast height (around 140cm) of the observer. As well as the condition of the trees from the ratings 0-2 (0=dead, 1=living, 2=huge green canopy). This procedure was repeated 9 more times to get a total of 10 pairings (replicates). It was recorded by hand during the experiment and then transferred onto Microsoft Excel to further organize the dataset. In this experiment it allows the students to learn how to identify plant species and how to collect the datasets with different sampling tools like the quadrat and transect.
DOI: 10.6084/m9.figshare.1558941.v1
title: Ecology Lab 2 - Grassland Dataset 2

description: To obtain data for the Golden Rod plant, a transect was placed for 50 metres in a straight line in a populated area of a certain plant, which happened to be the Golden Rod. Once this was done, we walked along the transect and recorded where each plant was on the transect. Once the distance was recorded, its height, number of leaves, number of flowers, and whether it was in a crowded patch of other plants (0 = open, 1 = some plants nearby, 2 = quite a few plants, 3 = very crowded bunch of plants within 50 cm) was measured. This action was supposed to be achieved for 50 individuals however there was insufficient time due to lack of management and only 10 individuals were sampled.
DOI: 10.6084/m9.figshare.1558436
title: Conditioning and health of adult trees and trees within close proximity of adult trees in Danby Woodlot, York University

description: On September 22, 2015 at approximately 3:00pm students of BIOL 2050: Ecology in lab section 02 visited the Danby Woodlot at York University in groups of 4 to practice field training with plants using quadrats and terrasects. In a group of 4 Muhammad Akram, Daniel Germani, Bonnie Duong and Markian Plawiuk split into groups of 2 to examine the woodlot and the grasslands area seperately. Muhammad Akram and Daniel Germani paired up while Bonnie Duong and Markian Plawiuk paired up. Daniel Germani analyzed species variance in the grasslands using a quadrat and Muhammad examined the conditioning of trees in the woodlot. Specifically the health and conditioning of adult trees approximately 12 ft in height and trees in closest proximity were analyzed to determine whether or not being close to a healthy adult tree had an impact on the conditioning of these trees. Using a transect extending from the western border of the woodlot to the centre, adult trees were chosen and then paired with the next tree closest to the adult tree. The observer Muhammad chose to walk approximately 10m into the forest before selecting the first adult tree closest to him and then selecting the next adult tree closest while walking East until 10 adult trees had been surveyed. The width of each tree trunk was used as a measure of health along with the quantity and quality of leaves. Trees with minimal healthy leaf production were assigned a 0 rating and large trees with a huge green canopy were given a 2 rating. Trees intermediate to these extremes were assigned a rating of 2. The DBH (distance from breast height or width at 56 inches off the ground) was measured using a measuring tape. Both the DBH and distance between trees was recorded in inches.
DOI: 10.6084/m9.figshare.1558653
title: Sampling Wild Carrots in the Danby Grassland using Transects

description: The purpose of this experiment is to determine if the traits of the plant, Wild Carrot or <em>Daucus carota</em>, has any effect on how the plants get dispersed. The experiment was conducted in the Danby Grassland at York University near Keele Street. A 30 m transect tape was randomly placed in the open area with shorter grasses (about 10 cm tall). A total of 20 individual wild carrots were sampled along the transect tape. The distance on transect, height, number of leaves, number of flowers, and level of crowding of each wild carrot were observed. All data were collected through visual observation, with the aid of a second transect tape when measuring the height. Data was collected during a sunny and hot day on September 23, 2015, from 3:30 pm to 4:00 pm, with a very slight breeze. Data was collected by Mandy Huynh, Dylan Stoll, Mariam Nnanna, and Jordan Deosamy. Dylan and Jordan were in charged of reading the distance on the transect tape and the height of each wild carrot. Miriam determined the level of crowding around each wild carrot within a range of 50 cm. Finally, I was in charge of counting the number of leaves and flowers, and recording all the data.
DOI: 10.6084/m9.figshare.1558682
title: Lab 2- Field training with plants

description: Measuring grass precentage compared to other species in York University’s grassland area above the Pond Road. Each replica was measured by using a (1X1 square meter) quadrat, two quadrats were used at the same time, about a meter apart from each other. We moved about a meter forward from each of the replicates to measure a new one.
DOI: 10.6084/m9.figshare.1558436.v1
title: Conditioning and health of adult trees and trees within close proximity of adult trees in Danby Woodlot, York University

description: On September 22, 2015 at approximately 3:00pm students of BIOL 2050: Ecology in lab section 02 visited the Danby Woodlot at York University in groups of 4 to practice field training with plants using quadrats and terrasects. In a group of 4 Muhammad Akram, Daniel Germani, Bonnie Duong and Markian Plawiuk split into groups of 2 to examine the woodlot and the grasslands area seperately. Muhammad Akram and Daniel Germani paired up while Bonnie Duong and Markian Plawiuk paired up. Daniel Germani analyzed species variance in the grasslands using a quadrat and Muhammad examined the conditioning of trees in the woodlot. Specifically the health and conditioning of adult trees approximately 12 ft in height and trees in closest proximity were analyzed to determine whether or not being close to a healthy adult tree had an impact on the conditioning of these trees. Using a transect extending from the western border of the woodlot to the centre, adult trees were chosen and then paired with the next tree closest to the adult tree. The observer Muhammad chose to walk approximately 10m into the forest before selecting the first adult tree closest to him and then selecting the next adult tree closest while walking East until 10 adult trees had been surveyed. The width of each tree trunk was used as a measure of health along with the quantity and quality of leaves. Trees with minimal healthy leaf production were assigned a 0 rating and large trees with a huge green canopy were given a 2 rating. Trees intermediate to these extremes were assigned a rating of 2. The DBH (distance from breast height or width at 56 inches off the ground) was measured using a measuring tape. Both the DBH and distance between trees was recorded in inches.
DOI: 10.6084/m9.figshare.1558977.v1
title: WK3 LAB 2 BIO 2050

description: Name: Marta Morozova Student #: 212105359 Course: Bio 2050 Dataset for Woodlot, Dataset 3
DOI: 10.6084/m9.figshare.1558653.v1
title: Sampling Wild Carrots in the Danby Grassland using Transects

description: The purpose of this experiment is to determine if the traits of the plant, Wild Carrot or <em>Daucus carota</em>, has any effect on how the plants get dispersed. The experiment was conducted in the Danby Grassland at York University near Keele Street. A 30 m transect tape was randomly placed in the open area with shorter grasses (about 10 cm tall). A total of 20 individual wild carrots were sampled along the transect tape. The distance on transect, height, number of leaves, number of flowers, and level of crowding of each wild carrot were observed. All data were collected through visual observation, with the aid of a second transect tape when measuring the height. Data was collected during a sunny and hot day on September 23, 2015, from 3:30 pm to 4:00 pm, with a very slight breeze. Data was collected by Mandy Huynh, Dylan Stoll, Mariam Nnanna, and Jordan Deosamy. Dylan and Jordan were in charged of reading the distance on the transect tape and the height of each wild carrot. Miriam determined the level of crowding around each wild carrot within a range of 50 cm. Finally, I was in charge of counting the number of leaves and flowers, and recording all the data.
DOI: 10.6084/m9.figshare.1558682.v1
title: Lab 2- Field training with plants

description: Measuring grass precentage compared to other species in York University’s grassland area above the Pond Road. Each replica was measured by using a (1X1 square meter) quadrat, two quadrats were used at the same time, about a meter apart from each other. We moved about a meter forward from each of the replicates to measure a new one.
DOI: 10.6084/m9.figshare.1558430
title: Danby grasslands dataset of milkweeds using transects

description: The dataset was conducted at the Danby grassland at York University Keele Campus on Tuesday September 22 2015. The study took place during the approximate time of 2:30pm to 3:30pm. At the time of collection the temperature was 21 °C, with no clouds in the sky and some moisture in the soil. This study was conducted by Ecology students, which included myself, Katie, Katherine, Ava and Ashley. A transect tape was randomly placed on the grassland where Asclepias syriaca (milkweeds) were observed. The transect was 668 inches long and had a radius of approximately 39 inches (1m) on either side of the transect tape. Once a milkweed was spotted within the designated area a member of the team would count the leaves on the plant while height and distanced between the closest milkweed was measured. Once this data was collected we gave the crowdedness a number within the scale of 0-3 within a 50cm parameter (0 being next to no crowding, to 3 being crowded, see metadata for greater detail on scale). This process was repeated until 50 milkweeds along the transect line where documented.
DOI: 10.6084/m9.figshare.1558431
title: Sampling Grassland Plant Populations Using Quadrats

description: This data was collected to sample grassland plant populations found in the Danby Woodlot at York University. It was collected on Tuesday, September 22 around 3:30 pm. Working with my partner Michael Sirianni, we used a 1 meter by 1 meter quadrat to sample the grassland 25 times. In order to ensure our sample was random, we began at the edge of the grassland and worked our way inwards, using a random number generator to determine how many steps to take each time the quadrat was placed down. After the quadrat was put down, we did a brief count of the total number of plants found in the quadrat. Then, we counted the number of individual species found. These include: Common Milkweed, Sugar Maple, Common Plantain, Common Thistle, Late Purple Aster, and Common Mallow. Next, we estimated a percentage of the total vegetation coverage in the quadrat. We also estimated the percent coverage of grass in the quadrat. These were estimations done considering the area of the quadrat as 100% and working backwards from that. It took approximately 40 minutes to replicate this process 25 times. Group members include Michael, Amanda, Phenil and I.