cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3850755
title: A study on the correlation between tree proximity, tree diameter, and tree condition

description: <b>Meta data:</b><br><b>Distance from tree to the next recorded tree: </b>Continuous - Using the transect measuring tape that was laid in a straight line from the edge of the woodlot to center of the woodlot, every instance an adult tree was encountered within 2m of the transect, the distance from this tree to the next adult tree to be studied was recorded. Distance was measured by the same person each time and measured from the point on the transect that lined up with the center point of each trunk. An adult tree was<b> </b>defined as any tree that was at least 4m tall<b>.<br><br>Diameter of tree: </b>Continuous<b> - </b>the same person measured the diameter of each tree by holding up a measuring tape straight against the trunk at their breast height<b>.<br><br>Condition of tree: </b>Ordinal - The same person assessed the condition of each tree by observing the trunk and canopy and then assigning<b> </b>one of three numbers: 0 for a dead tree, 1 for a living tree, and 2 for a tree with a huge green canopy<b>.<br></b><br><b>Methods:</b> <br>In order to assess the relationship between tree proximity, diameter, and condition, measurement of these three variables was taken for 20 adult trees that were located within 2m of a 30m transect tape that was placed in a straight line from the edge of the woodlot to the center of the woodlot. The same person was responsible for measuring the same variable for all 20 trees. Using the laid transect tape, the distance between trees was measured from the point on the transect that lined up with the center of the first trunk, to the point on the transect that lined up with the center of the trunk of the next tree to be studied. The diameter of each tree was measured at breast height by holding up measuring tape straight across the trunk. The condition of each tree was evaluated by looking at the trunk and canopy of the tree and assigning a number to represent if it was dead(0), living(1), or had a huge, green canopy(2). <br><br><b>Study Site:</b><br>43°46'48.2"N 79°29'48.3"W.York University Campus, Danby Woods. Woodlot. <br>Weather: Very hot and sunny for the first 2 hours and then it became cloudy and it sprinkled, while still remaining warm, for the remaining hour of study. <br><br><b>Hypothesis:</b> <br>There is a correlation between the proximity of trees in a woodlot and their diameter and condition. This is because trees that grow in close proximity will share the same resources and will be affected by the same environmental conditions. In addition, trees will compete with each other for these shared resources (i.e. water, nutrients, etc.) when growing near each other. Lastly, different sized trees will be able to sustain the growth of different sized canopies. <br><br><b>Predictions:</b><br>1) Trees that grow in close proximity will be in similar condition.<br>2) Trees that are located closer together will have smaller diameters.<br>3) Trees with a larger diameter will be in better condition (fuller/larger canopies).<br>
DOI: 10.6084/m9.figshare.3850767.v1
title: Field Training with Plants: A study on sampling populations and communities of a plant species in the grasslands

description: <b>Methods:</b> By randomly placing transect tape within the grasslands of Danby Woods, 50 individuals of a targeted plant species were sampled at specific distances on the transect for number of flowers, number of leaves, height, and whether it was located in a crowded patch of other plant species. <b>Study Site: </b>Danby Woods, York University, ON, Canada. 43.7735° N, 79.5019° W. Study taken outdoors with a bit of rainfall and complete cloud cover. <b>Hypothesis: </b>There will be a correlation between plant height and surrounding density of other plant species because competition of nutrients between multiple plant species affects the ability of a single plant to grow and flourish. <b>Predictions:</b>1. The more crowded the target plant is by other plant species, the shorter it will be because as the nutrients are shared among many plants, the targeted plant species can only uptake a certain amount to sustain the plants life.2. The more crowded the target plant, the less number of leaves and flowers because it will be competing with other plants for nutrients which help produce more flowers and leaves.3. The targeted plant species will be taller, and produce more leaves and flowers in a less crowded area because they will not be competing for nutrients with many other plant species. <b>Meta-data:</b>1. distance (transect): Numerical and Discrete – Recorded distance traveled on a transect in meters to 50 targeted plant species which were sampled within a radius of 50 centimeters on each side of the transect to a maximum distance of 30 meters on the transect.2. height.of.plant.of.interest: Numerical and Continuous – Recorded plant height from ground level to tip of the tallest flower in centimeters using a measuring tape.3. total.number.of.leaves: Numerical and Continuous – On each plant, an average length stem was counted for number of leaves, and then that number was multiplied by the total number of stems on the whole plant itself to get the total number of leaves for each plant.4. total.number.of.flowers: Numerical and Continuous – Only counted purple flowers which were already bloomed and disregarded flower buds on targeted plant. 5. crowdness.around.plant.of.interest: Categorical and Ordinal – Assigned a ranking system of 0 (open), 1 (some plants nearby), 2 (quite a few plants), and 3 (very crowded bunch of plants) to signify the estimated density of the targeted plant’s environment within a 50 centimeter radius. <b>Group Members:</b> Matthew Fernandez, Rija Ghani, Niyousha Taati, Sarah Pecile
DOI: 10.6084/m9.figshare.3850767.v2
title: Field Training with Plants: A study on sampling populations and communities of a plant species in the grasslands

description: <b>Methods:</b> By randomly placing transect tape within the grasslands of Danby Woods, 50 individuals of a targeted plant species were sampled at specific distances on the transect for number of flowers, number of leaves, height, and whether it was located in a crowded patch of other plant species. <b>Study Site: </b>Danby Woods, York University, Toronto, ON, Canada. 43.7735° N, 79.5019° W. Study taken outdoors with a bit of rainfall and complete cloud cover. <b>Hypothesis: </b>There will be a correlation between plant height and surrounding density of other plant species because competition of nutrients between multiple plant species affects the ability of a single plant to grow and flourish. <b>Predictions:</b>1. The more crowded the target plant is by other plant species, the shorter it will be because as the nutrients are shared among many plants, the targeted plant species can only uptake a certain amount to sustain the plants life.2. The more crowded the target plant, the less number of leaves and flowers because it will be competing with other plants for nutrients which help produce more flowers and leaves.3. The targeted plant species will be taller, and produce more leaves and flowers in a less crowded area because they will not be competing for nutrients with many other plant species. <b>Meta-data:</b>1. distance (transect): Numerical and Discrete – Recorded distance traveled on a transect in meters to 50 targeted plant species which were sampled within a radius of 50 centimeters on each side of the transect to a maximum distance of 30 meters on the transect.2. height.of.plant.of.interest: Numerical and Continuous – Recorded plant height from ground level to tip of the tallest flower in centimeters using a measuring tape.3. total.number.of.leaves: Numerical and Continuous – On each plant, an average length stem was counted for number of leaves, and then that number was multiplied by the total number of stems on the whole plant itself to get the total number of leaves for each plant.4. total.number.of.flowers: Numerical and Continuous – Only counted purple flowers which were already bloomed and disregarded flower buds on targeted plant. 5. crowdness.around.plant.of.interest: Categorical and Ordinal – Assigned a ranking system of 0 (open), 1 (some plants nearby), 2 (quite a few plants), and 3 (very crowded bunch of plants) to signify the estimated density of the targeted plant’s environment within a 50 centimeter radius. <b>Group Members:</b> Matthew Fernandez, Rija Ghani, Niyousha Taati, Sarah Pecile
DOI: 10.6084/m9.figshare.3850767.v3
title: Field Training with Plants: A Study on Sampling Populations and Communities of a Plant Species in Grasslands

description: <b>Methods:</b> By randomly placing transect tape within the grasslands of Danby Woods, 50 individuals of a targeted plant species were sampled at specific distances on the transect for number of flowers, number of leaves, height, and whether it was located in a crowded patch of other plant species. <b>Study Site: </b>Danby Woods, York University, Toronto, ON, Canada. 43.7735° N, 79.5019° W. Study taken outdoors with a bit of rainfall and complete cloud cover. <b>Hypothesis: </b>There will be a correlation between plant height and surrounding density of other plant species because competition of nutrients between multiple plant species affects the ability of a single plant to grow and flourish. <b>Predictions:</b>1. The more crowded the target plant is by other plant species, the shorter it will be because as the nutrients are shared among many plants, the targeted plant species can only uptake a certain amount to sustain the plants life.2. The more crowded the target plant, the less number of leaves and flowers because it will be competing with other plants for nutrients which help produce more flowers and leaves.3. The targeted plant species will be taller, and produce more leaves and flowers in a less crowded area because they will not be competing for nutrients with many other plant species. <b>Meta-data:</b>1. distance (transect): Numerical and Discrete – Recorded distance traveled on a transect in meters to 50 targeted plant species which were sampled within a radius of 50 centimeters on each side of the transect to a maximum distance of 30 meters on the transect.2. height.of.plant.of.interest: Numerical and Continuous – Recorded plant height from ground level to tip of the tallest flower in centimeters using a measuring tape.3. total.number.of.leaves: Numerical and Continuous – On each plant, an average length stem was counted for number of leaves, and then that number was multiplied by the total number of stems on the whole plant itself to get the total number of leaves for each plant.4. total.number.of.flowers: Numerical and Continuous – Only counted purple flowers which were already bloomed and disregarded flower buds on targeted plant. 5. crowdness.around.plant.of.interest: Categorical and Ordinal – Assigned a ranking system of 0 (open), 1 (some plants nearby), 2 (quite a few plants), and 3 (very crowded bunch of plants) to signify the estimated density of the targeted plant’s environment within a 50 centimeter radius. <b>Group Members:</b> Matthew Fernandez, Rija Ghani, Niyousha Taati, Sarah Pecile
DOI: 10.7910/dvn/v1rjpf/s2dtx5
title: mea20160428_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/pdza89
title: mea20150325_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3850743
title: Examining the Diameter/Condition of Trees from the Edge of a Woodlot to the Center.

description: Methods: The data was collected by using a transect measuring tape to make a straight line from the edge of the forrest to the center. When an adult tree was noticed along this line the distance from the edge was recorded as well as the diameter and condition of the tree.<br>Hypothesis: I predict that as you go deeper into the woodlot the diameter of the trees will increase and the condition will lead to more larger trees, because they will have more room to grow and be in a less disturbed area.<br>Study Site: Danby Woods, York University, Toronto, Ontario, Canada.<br>Predictions:1) Trees deeper in the woodlot will be a lot larger.2)There will be more total trees deeper in the woodlot.(they will be closer together)3.There will be more huge green canopy trees near the center of the woodlot.<br>Metadata:Distance.Between.Consecutive.Trees: numerical- A research lab was conducted to measure the distance between consecutive trees throughout the woodlot using a transect measuring tape, in Danby Woods.Diameter.Of.Tree.At.Breast.Length: numerical- A research lab was conducted measuring the diameters of trees at breast length from the edge of a woodlot to the center, in Danby Woods.Condition.of.Tree: categorical- A visual survey was done to determine the condition of trees. Condition was identified as dead, living or having a huge green canopy, in Danby Woods.<br>Group Members:Sarah PecileNiusha TaatiLaura NatiRija Ghani<br>
DOI: 10.7910/dvn/v1rjpf/quwyxb
title: mea20160304_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3850743.v1
title: Examining the Diameter/Condition of Trees from the Edge of a Woodlot to the Center.

description: Methods: The data was collected by using a transect measuring tape to make a straight line from the edge of the forrest to the center. When an adult tree was noticed along this line the distance from the edge was recorded as well as the diameter and condition of the tree.<br>Hypothesis: I predict that as you go deeper into the woodlot the diameter of the trees will increase and the condition will lead to more larger trees, because they will have more room to grow and be in a less disturbed area.<br>Study Site: Danby Woods, York University, Toronto, Ontario, Canada.<br>Predictions:1) Trees deeper in the woodlot will be a lot larger.2)There will be more total trees deeper in the woodlot.(they will be closer together)3.There will be more huge green canopy trees near the center of the woodlot.<br>Metadata:Distance.Between.Consecutive.Trees: numerical- A research lab was conducted to measure the distance between consecutive trees throughout the woodlot using a transect measuring tape, in Danby Woods.Diameter.Of.Tree.At.Breast.Length: numerical- A research lab was conducted measuring the diameters of trees at breast length from the edge of a woodlot to the center, in Danby Woods.Condition.of.Tree: categorical- A visual survey was done to determine the condition of trees. Condition was identified as dead, living or having a huge green canopy, in Danby Woods.<br>Group Members:Sarah PecileNiusha TaatiLaura NatiRija Ghani<br>
DOI: 10.7910/dvn/v1rjpf/h1ze7n
title: mea20151009_03.txt.gz

description: :unav
DOI: 10.17608/k6.auckland.3850737
title: Capturing and Describing Institutional Research Services

description: A questionnaire and lightweight service maturity model for use in gathering and describing research services across the University of Auckland.
DOI: 10.17608/k6.auckland.3850737.v2
title: Capturing and Describing Institutional Research Services

description: A questionnaire and lightweight service maturity model for use in gathering and describing research services across the University of Auckland.
DOI: 10.17608/k6.auckland.3850737.v1
title: Capturing and Describing Institutional Research Services

description: A questionnaire and lightweight service maturity model for use in gathering and describing research services across the University of Auckland.
DOI: 10.7910/dvn/v1rjpf/uyfcwv
title: mea20150507_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3850728
title: Price comparison of high-cost originator medicines in European countries

description: <b>Background</b>: In recent years, high-cost medicines have increasingly been challenging the public health budget in all countries including high-income economies. In this context, this study aims to survey, analyze and compare prices of medicines that likely contribute to high expenditure for the public payers in high-income countries. <b>Methods</b>: We chose the following 16 European countries: Austria, Belgium, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, the Netherlands, Portugal, Sweden, Slovakia, Spain and United Kingdom. The ex-factory price data of 30 medicines in these countries were collected in national databases accessible through the Pharmaceutical Price Information (PPI) service of Gesundheit Österreich GmbH (Austrian Public Health Institute). <b>Results</b>: The ex-factory prices (median) per unit (e.g. per tablet, vial) ranged from 10.67 cent (levodopa + decarboxylase inhibitor) to 17,000 euro (ipilimumab). A total of 53% of the medicines surveyed had a unit ex-factory price (median) above 200 Euro. For two thirds of the medicines, price differences between the highest-priced country and lowest-priced country ranged between 25 and 100%; the remaining medicines, mainly low-priced medicines, had higher price differential, up to 251%. Medicines with unit prices of a few euros or less were medicines for the treatment of diseases in the nervous system (anti-depressants, medicines to treat Parkinson and for the management of neuropathic pain), of obstructive airway diseases and cardio-vascular medicines (lipid modifying agents). High-priced medicines were particularly cancer medicines. <b>Conclusion</b>: Medicine prices of Greece, Hungary, Slovakia and UK were frequently at the lower end, German and Swedish, as well as Danish and Irish prices at the upper end. For high-priced medicines, actual paid prices are likely to be lower due to confidential discounts and similar funding arrangements between industry and public payers. Pricing authorities refer to the higher undiscounted prices when they use price data from other countries for their pricing decisions.
DOI: 10.7910/dvn/v1rjpf/zvhebt
title: mea20160505_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/cqjqpd
title: mea20160831_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3850698
title: Plant Vs.Grass in per Quadrant in Grassland

description: Purpose:To perform a field training with plants to collect data based on species based on traits, transects, and quadrats. As well as, to compare and contrast the percentage coverage of plants and grasslands in each quadrat.<br>hypothesis:All vegetation within each quadrat has greater total percentage coverage in grassland area compare to grass has smaller total percentage coverageBecause as more plants grew in a specific area then more plants will be seen and less grass will grow in the ground. As each quadrat was randomly placed by the group members, therefore various different amount of plants and grass coverage was observed and obtained the data on the notebook while performing the lab.Prediction:1- If more percentage of plants and woodlots cover rises, therefore, it will slow down the population percentage of total grass cover 2- IF the richness of total number of plants and woodlots cover rises, therefore, it will slow down the population of the total grass cover 3- To differentiate different sample of plant populations and communities with quadrats, transects, and trait sampling method.Method:- Worked in groups and collected 4 data sets.- Collected two data sets in a woodlots and two in grassland.- Counted total number of species that was seen in a each quadrats (total 13 quadrats), counted the number of species, total cover of all vegetation within plots and total cover of grasses.- Counted the number of plants that was within the quadrats.-Used the transect within the grassland to collect this data sets and recorded the distance on the transect you found it- Used transect measuring tape and record the distance from one Adult tree to the next adult tree and measured the diameter of the each tree in the woodlot.- Used transect measuring tapes and recorded the dbh of 10 trees of the same species..estimated extent of canopy coverage and recorded the distance to the nearest sapling of same species <br>Study site: York University grasslands and woodlots on the north side of the keele campus data was collected in between 2:30 to 5:30pm. the landscape contained alot of insects<br>
DOI: 10.6084/m9.figshare.3850701
title: Safety and efficacy of IIb/IIIa inhibitors in combination with highly active oral antiplatelet regimens in acute coronary syndromes: A meta-analysis of pivotal trials

description: The risk and benefit of GP-IIb/IIIa Inhibition (GPI) in combination with recent antiplatelet regimens in acute coronary syndromes (ACS) remain unassessed. The advent of fast-acting highly active oral P2Y<sub>12</sub> inhibitors questions the additional value and risk of their association with GPI. We studied the effect of GPI in combination with prasugrel and ticagrelor, compared to clopidogrel on major bleeding in pivotal randomized controlled trials in the setting of ACS, using a meta-analytic approach. A similar analysis, further including the comparison of a double versus standard dose clopidogrel regimen, was performed for the risk of the primary efficacy endpoint. The combination of GPI and recent P2Y<sub>12</sub> inhibitors was associated with a similar risk of bleeding as compared with GPI and the standard clopidogrel regimen (RR 0.92 [0.74; 1.13]). The benefit of recent regimens, including double dose clopidogrel, in reducing the primary ischemic endpoint (RR 0.86 [0.78; 0.94]) persisted in those treated with GPI. Although GPI use was associated with a consistent increase in the risk of bleeding in both recent (RR 1.27 [1.05–1.55]) and standard regimens (RR 2.01 [1.64–2.47]), the relative magnitude of such an increase was lower in association with prasugrel or ticagrelor as compared with clopidogrel. The risk of bleeding using a combination of GPI and oral antiplatelet regimens is mainly related to the use of GPI and not the oral antiplatelet regimen. Considering the absence of increased risk of bleeding and the persistence of the benefit of recent P2Y<sub>12</sub> regimens in combination with GPI as compared with the standard clopidogrel regimen, the use of such a combination within the guidelines is supported by our findings.
DOI: 10.7910/dvn/v1rjpf/6xtims
title: mea20151226_03.txt.gz

description: :unav