cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3846804
title: Week 3 Techniques & data: field training with plants

description: <b>Meta-data:</b> <b> </b><b>Adult tree: </b>An adult tree of same species (eastern white pine) <b> </b><b>Dbh: </b>diameter at breast height measured in cm <b> </b><b>Canopy coverage: </b> <b>0 - </b>cannot see the sky from the canopy coverage <b>1 - </b>can see a little bit of the sky from the canopy coverage <b>2 - </b>can see the sky pretty clear from the canopy coverage <b>Distance: </b>distance from one tree to another measured in meters <b>Methods:</b><b>Participants:</b> York University students from 2050 Ecology class <b>Day and time:</b> September 21<sup>st</sup>, 2016, between 3-4pm <b>Location: </b>York University woodlot, 200-300m away from Aviva Centre. The study site had different tree species located in very close proximity to each other. <b>Dataset: </b> Collected dataset for ten randomly selected adult trees of eastern pine. Any eastern pine tree that was at least twice my own height (my height is 5’2) was considered to be an adult tree. Transect measuring tape was used to record the distance between two adult trees of eastern pine. Regular measuring tape was used to measure the diameter at breast height for each tree. Canopy coverage was studied for each sampled tree, by creating a square with my fingers and holding it up to examine how much sky was still visible.
DOI: 10.7910/dvn/v1rjpf/zpqztq
title: mea20160710_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3846801
title: Ecology 2050 Woodlot Data Set 4

description: <b>METHOD :</b> This experiment was conducted at York University’s Keele Campus on Wednesday, September 21, 2016 in the woodlot. The purpose of this experiment was to familiarize students with different plant sampling techniques used in ecological studies. Using a transect measuring tape, the DBH (Diameter of Breast Height) in cm, canopy coverage (in %), distance to nearest sapling tree of the same species in (m), and DBH (Diameter of Breast Height) of nearest sapling in (cm), was recorded on paper for a sample size of n = 10. This data was collected with other researchers in the lab named Kathleen, Christina, and Nawang. <b>Tree Number: </b>Identification number of each tree measured using the transect tape.<b>DBH (Diameter of Breast Height in cm): </b>Diameter of the trunk of a standing tree measured in centimetres. <b>Canopy Coverage (in %): </b>Proportion of the sky that is covered by vegetation when making a rectangle using your fingers, measured in percent. <b>Distance to nearest sapling (in m):</b> Distance to the closest tree of the same species measured in metres.<b>Nearest sapling's DBH (in cm): </b>Diameter of the trunk of the closest tree of the same species, measured in centimetres. <br><br><br>
DOI: 10.6084/m9.figshare.3846804.v1
title: Week 3 Techniques & data: field training with plants

description: <b>Meta-data:</b> <b> </b><b>Adult tree: </b>An adult tree of same species (eastern white pine) <b> </b><b>Dbh: </b>diameter at breast height measured in cm <b> </b><b>Canopy coverage: </b> <b>0 - </b>cannot see the sky from the canopy coverage <b>1 - </b>can see a little bit of the sky from the canopy coverage <b>2 - </b>can see the sky pretty clear from the canopy coverage <b>Distance: </b>distance from one tree to another measured in meters <b>Methods:</b><b>Participants:</b> York University students from 2050 Ecology class <b>Day and time:</b> September 21<sup>st</sup>, 2016, between 3-4pm <b>Location: </b>York University woodlot, 200-300m away from Aviva Centre. The study site had different tree species located in very close proximity to each other. <b>Dataset: </b> Collected dataset for ten randomly selected adult trees of eastern pine. Any eastern pine tree that was at least twice my own height (my height is 5’2) was considered to be an adult tree. Transect measuring tape was used to record the distance between two adult trees of eastern pine. Regular measuring tape was used to measure the diameter at breast height for each tree. Canopy coverage was studied for each sampled tree, by creating a square with my fingers and holding it up to examine how much sky was still visible.
DOI: 10.6084/m9.figshare.3846801.v1
title: Ecology 2050 Woodlot Data Set 4

description: <b>METHOD :</b> This experiment was conducted at York University’s Keele Campus on Wednesday, September 21, 2016 in the woodlot. The purpose of this experiment was to familiarize students with different plant sampling techniques used in ecological studies. Using a transect measuring tape, the DBH (Diameter of Breast Height) in cm, canopy coverage (in %), distance to nearest sapling tree of the same species in (m), and DBH (Diameter of Breast Height) of nearest sapling in (cm), was recorded on paper for a sample size of n = 10. This data was collected with other researchers in the lab named Kathleen, Christina, and Nawang. <b>Tree Number: </b>Identification number of each tree measured using the transect tape.<b>DBH (Diameter of Breast Height in cm): </b>Diameter of the trunk of a standing tree measured in centimetres. <b>Canopy Coverage (in %): </b>Proportion of the sky that is covered by vegetation when making a rectangle using your fingers, measured in percent. <b>Distance to nearest sapling (in m):</b> Distance to the closest tree of the same species measured in metres.<b>Nearest sapling's DBH (in cm): </b>Diameter of the trunk of the closest tree of the same species, measured in centimetres. <br><br><br>
DOI: 10.7910/dvn/v1rjpf/igg4ts
title: mea20161229_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3846795
title: The relationship between closely paired trees and their condition with respect to tree diameter at breast height

description: Metadata: <br>Tree # - The number of trees that were sampled in the woodlot at York University. Total of 20 trees. Distance to Next Tree - The distance between closely paired trees in centimetres using a transect measuring tape. Distance between tree 1 to tree 2 and so on. DBH - The diameter at breast height of a tree in the woodlot measured in centimetres using a transect tape from the floor to the chest of the experimenter.Condition - A measurement of how alive a tree appears according to a derived system where 0 = dead, 1 = living, and 2 = huge green canopy<br>Site description: Data collected on September 21, 2016 at 4:30 p.m in the Danby Woodlot on York university campus on a sunny afternoon with an approximate temperature of 26 degrees Celsius. The surroundings contained a variety of different tree species as well as other vegetation in a natural setting. Other experiments were ongoing in the same location. <br>Methods: The tree data was collected at the Danby woodlot on the York University campus. Adult trees, that were minimum twice a person's height, were randomly sampled by the experimenters during a three hour period on a sunny afternoon. The distance in centimetres using transect measuring tapes was measured between one tree to the next closest tree. The diameter at breast height of the tree was also measured for all trees. Finally, the conditions of all trees were taken into account when sampling 10 pairs for a total of 20 trees. <br>Hypothesis: The distance between closely paired trees and the associated diameter at breast height of those trees is indicative of the tree condition because competition for nutrients between closer trees can result in different amounts of growth. Also, diameter increment is a common feature in measuring tree growth. The condition of the tree will be a reflection of the diameter and available nutrients.<br>Predictions: 1)Trees that are closer together in distance will not be equally healthy 2)The larger the diameter of the tree then the greater the health condition of the tree.<br>
DOI: 10.7910/dvn/v1rjpf/cgouoi
title: mea20150304_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3846795.v1
title: The relationship between closely paired trees and their condition with respect to tree diameter at breast height

description: Metadata: <br>Tree # - The number of trees that were sampled in the woodlot at York University. Total of 20 trees. Distance to Next Tree - The distance between closely paired trees in centimetres using a transect measuring tape. Distance between tree 1 to tree 2 and so on. DBH - The diameter at breast height of a tree in the woodlot measured in centimetres using a transect tape from the floor to the chest of the experimenter.Condition - A measurement of how alive a tree appears according to a derived system where 0 = dead, 1 = living, and 2 = huge green canopy<br>Site description: Data collected on September 21, 2016 at 4:30 p.m in the Danby Woodlot on York university campus on a sunny afternoon with an approximate temperature of 26 degrees Celsius. The surroundings contained a variety of different tree species as well as other vegetation in a natural setting. Other experiments were ongoing in the same location. <br>Methods: The tree data was collected at the Danby woodlot on the York University campus. Adult trees, that were minimum twice a person's height, were randomly sampled by the experimenters during a three hour period on a sunny afternoon. The distance in centimetres using transect measuring tapes was measured between one tree to the next closest tree. The diameter at breast height of the tree was also measured for all trees. Finally, the conditions of all trees were taken into account when sampling 10 pairs for a total of 20 trees. <br>Hypothesis: The distance between closely paired trees and the associated diameter at breast height of those trees is indicative of the tree condition because competition for nutrients between closer trees can result in different amounts of growth. Also, diameter increment is a common feature in measuring tree growth. The condition of the tree will be a reflection of the diameter and available nutrients.<br>Predictions: 1)Trees that are closer together in distance will not be equally healthy 2)The larger the diameter of the tree then the greater the health condition of the tree.<br>
DOI: 10.7910/dvn/v1rjpf/xsdlgl
title: mea20160518_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/ywulb4
title: mea20151104_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3846771
title: Corruption in the Colombian Healthcare System: Evidence Fileset

description: More documentary evidence will be added in the near future, the context will be explained in a manuscript which will be submitted to a peer-review indexed medical journal of high impact (top 10% rank according to ISI web of knowledge & JCR).<br>---<br> Documentary Evidence #1 (Author's: Sindicato Médico Nacional) - in response to: <i><br></i><i>"Para: Sindicato Médico Colombiano - 19800 miembros.<br>SIMUC? SIMAC?</i><i>Asunto: Corrupción en Salud.</i><i>Hola,</i><i>Lamento informarles que el hecho de que me hayan eliminado del grupo no significa que no los estemos observando.</i><i>Es una lógica interesante: hagamos nuestro propio sindicato, creemos los contratos, ganemos nosotros la ($$$) y pues... hay muchos negocios más que podemos hacer, por ejemplo, hablemos con el director general del HUV para encargarnos de los contratos de tercerización laboral que hacía ASTRACUD y... hmmm... ¿qué tal si la lista de interesados en SIMUC (&gt;1000) no la llevamos para SIMAC? (sobre mi cadaver)</i><i>¿Y por qué yo sé esto? - Fácil, soy (era? :P ) el secretario general de "SIMAC" (ni me acuerdo que significa ya!)</i><i>Éxitos en su pseudo-gremio (pfff....)</i><i>Att.</i><i>Jorge R.<br><br></i><br>
DOI: 10.7910/dvn/v1rjpf/szavd3
title: mea20160125_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/uehddf
title: mea20150210_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3846771.v1
title: Corruption in the Colombian Healthcare System: Evidence Fileset

description: More documentary evidence will be added in the near future, the context will be explained in a manuscript which will be submitted to a peer-review indexed medical journal of high impact (top 10% rank according to ISI web of knowledge & JCR).<br>---<br> Documentary Evidence #1 (Author's: Sindicato Médico Nacional) - in response to: <i><br></i><i>"Para: Sindicato Médico Colombiano - 19800 miembros.<br>SIMUC? SIMAC?</i><i>Asunto: Corrupción en Salud.</i><i>Hola,</i><i>Lamento informarles que el hecho de que me hayan eliminado del grupo no significa que no los estemos observando.</i><i>Es una lógica interesante: hagamos nuestro propio sindicato, creemos los contratos, ganemos nosotros la ($$$) y pues... hay muchos negocios más que podemos hacer, por ejemplo, hablemos con el director general del HUV para encargarnos de los contratos de tercerización laboral que hacía ASTRACUD y... hmmm... ¿qué tal si la lista de interesados en SIMUC (&gt;1000) no la llevamos para SIMAC? (sobre mi cadaver)</i><i>¿Y por qué yo sé esto? - Fácil, soy (era? :P ) el secretario general de "SIMAC" (ni me acuerdo que significa ya!)</i><i>Éxitos en su pseudo-gremio (pfff....)</i><i>Att.</i><i>Jorge R.<br>medicossinmarca.cl"</i><br>
DOI: 10.6084/m9.figshare.3846771.v2
title: Corruption in the Colombian Healthcare System: Evidence Fileset

description: More documentary evidence will be added in the near future, the context will be explained in a manuscript which will be submitted to a peer-review indexed medical journal of high impact (top 10% rank according to ISI web of knowledge & JCR).<br>---<br> Documentary Evidence #1 (Author's: Sindicato Médico Nacional) - in response to: <i><br></i><i>"Para: Sindicato Médico Colombiano - 19800 miembros.<br>SIMUC? SIMAC?</i><i>Asunto: Corrupción en Salud.</i><i>Hola,</i><i>Lamento informarles que el hecho de que me hayan eliminado del grupo no significa que no los estemos observando.</i><i>Es una lógica interesante: hagamos nuestro propio sindicato, creemos los contratos, ganemos nosotros la ($$$) y pues... hay muchos negocios más que podemos hacer, por ejemplo, hablemos con el director general del HUV para encargarnos de los contratos de tercerización laboral que hacía ASTRACUD y... hmmm... ¿qué tal si la lista de interesados en SIMUC (&gt;1000) no la llevamos para SIMAC? (sobre mi cadaver)</i><i>¿Y por qué yo sé esto? - Fácil, soy (era? :P ) el secretario general de "SIMAC" (ni me acuerdo que significa ya!)</i><i>Éxitos en su pseudo-gremio (pfff....)</i><i>Att.</i><i>Jorge R.<br><br></i><br>
DOI: 10.6084/m9.figshare.3846768
title: BIOL2050 Lab 2, Dataset 1: Measuring the Abundance of Different Plant Species in York University Grassland Using Quadrats

description: <b>Variables</b><b><br></b>"Total # of Plants"- A counted estimate as seen by the naked eye of the total abundance of plants within a quadrat.<br>"Total # of Different Plant Species"- Counting the number of different plant species found within a quadrat after careful examination by the naked eye.<br>"Total Cover of All Vegetation (%)"- Estimating the percentage of vegetation found within a quadrat (opposed to sparse areas of bare soil) as seen by the naked eye.<br>"Total Cover of Grasses (%)"- Estimating the percentage of grass found within the quadrat (out of the percentage of vegetation already present), again using the naked eye.<b><br></b><b><br></b><b>Method</b>The dataset was collected on September 21, 2016 in a grassland area at York University (Keele Campus, Toronto). A square quadrat was used to measure the abundance and variety of plant species present within the grassland. After numbering the 4 sides of the quadrat, a random number generator was used to ensure random placement 25 times within the grassland. All measured variables were examined and estimated using the naked eye.
DOI: 10.7910/dvn/v1rjpf/wkorwp
title: mea20160728_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3846765
title: Field Training with Plants-Woodlot Dataset 4

description: Samples were taken from a woodlot at York University's Keele campus. The woodlot was not very dense, however there were a wide variety of trees. Different species of trees were identified. In total 10 samples were taken, composed of mature trees and saplings of the same species. Diameter at breast height was measured for each sample. As well as the canopy coverage, which was measured as high for full coverage and low for less coverage. The distance of the saplings with respect to their mature counterparts were measured, using transect measuring tapes, for each set of trees. Data was collected on September 21, 2016 the weather was 27°C and sunny.
DOI: 10.6084/m9.figshare.3846765.v1
title: Field Training with Plants-Woodlot Dataset 4

description: Samples were taken from a woodlot at York University's Keele campus. The woodlot was not very dense, however there were a wide variety of trees. Different species of trees were identified. In total 10 samples were taken, composed of mature trees and saplings of the same species. Diameter at breast height was measured for each sample. As well as the canopy coverage, which was measured as high for full coverage and low for less coverage. The distance of the saplings with respect to their mature counterparts were measured, using transect measuring tapes, for each set of trees. Data was collected on September 21, 2016 the weather was 27°C and sunny.
DOI: 10.7910/dvn/v1rjpf/2ov66s
title: mea20150911_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3846768.v1
title: BIOL2050 Lab 2, Dataset 1: Measuring the Abundance of Different Plant Species in York University Grassland Using Quadrats

description: <b>Variables</b><b><br></b>"Total # of Plants"- A counted estimate as seen by the naked eye of the total abundance of plants within a quadrat.<br>"Total # of Different Plant Species"- Counting the number of different plant species found within a quadrat after careful examination by the naked eye.<br>"Total Cover of All Vegetation (%)"- Estimating the percentage of vegetation found within a quadrat (opposed to sparse areas of bare soil) as seen by the naked eye.<br>"Total Cover of Grasses (%)"- Estimating the percentage of grass found within the quadrat (out of the percentage of vegetation already present), again using the naked eye.<b><br></b><b><br></b><b>Method</b>The dataset was collected on September 21, 2016 in a grassland area at York University (Keele Campus, Toronto). A square quadrat was used to measure the abundance and variety of plant species present within the grassland. After numbering the 4 sides of the quadrat, a random number generator was used to ensure random placement 25 times within the grassland. All measured variables were examined and estimated using the naked eye.
DOI: 10.7910/dvn/v1rjpf/aplgty
title: mea20150811_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3846768.v2
title: BIOL2050 Lab 2, Dataset 1: Measuring the Abundance of Different Plant Species in York University Grassland Using Quadrats

description: <b>Variables</b><b><br></b>"Total # of Plants"- A counted estimate as seen by the naked eye of the total abundance of plants within a quadrat.<br>"Total # of Different Plant Species"- Counting the number of different plant species found within a quadrat after careful examination by the naked eye.<br>"Total Cover of All Vegetation (%)"- Estimating the percentage of vegetation found within a quadrat (opposed to sparse areas of bare soil) as seen by the naked eye.<br>"Total Cover of Grasses (%)"- Estimating the percentage of grass found within the quadrat (out of the percentage of vegetation already present), again using the naked eye.<b><br></b><b><br></b><b>Method</b>The dataset was collected on September 21, 2016 in a grassland area at York University (Keele Campus, Toronto). A square quadrat was used to measure the abundance and variety of plant species present within the grassland. After numbering the 4 sides of the quadrat, a random number generator was used to ensure random placement 25 times within the grassland. All measured variables were examined and estimated using the naked eye.
DOI: 10.7910/dvn/v1rjpf/sdplub
title: mea20160407_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3846768.v3
title: BIOL2050 Lab 2, Dataset 1: Measuring the Abundance of Different Plant Species in York University Grassland Using Quadrats

description: <b>Variables</b><b><br></b>"Total # of Plants"- A counted estimate as seen by the naked eye of the total abundance of plants within a quadrat.<br>"Total # of Different Plant Species"- Counting the number of different plant species found within a quadrat after careful examination by the naked eye.<br>"Total Cover of All Vegetation (%)"- Estimating the percentage of vegetation found within a quadrat (opposed to sparse areas of bare soil) as seen by the naked eye.<br>"Total Cover of Grasses (%)"- Estimating the percentage of grass found within the quadrat (out of the percentage of vegetation already present), again using the naked eye.<b><br></b><b><br></b><b>Method</b>The dataset was collected on September 21, 2016 in a grassland area at York University (Keele Campus, Toronto). A square quadrat was used to measure the abundance and variety of plant species present within the grassland. After numbering the 4 sides of the quadrat, a random number generator was used to ensure random placement 25 times within the grassland. All measured variables were examined and estimated using the naked eye.
DOI: 10.6084/m9.figshare.3846759
title: Data of Several Species of Trees Collected in York University's Woodlot

description: The data obtained was from the woodlots of York University in Toronto. It was a forested area on the outskirts of the university and there was a lot of green canopy. There were different species of trees were present for observation and data recording. The data was collected in pairs, one person recording the numbers and measurements, and the other using the tools in order to obtain the measurements. The tools used were transect measuring tapes and normal measuring tapes. The data was collected from 10 arbitrary trees from the edge to the centre of the woodlot. Walking in a straight line, every tree encountered that was twice the data recorder’s height was recorded. The dichotomous tree guide was used to compare and match the tree leaves according to its species. Data from the species of Sugar Maple, Red Oak, Black Cherry, Bass Wood, Red Pine and White Spruce were collected. The following variables recorded were the species of the tree, the diameter of the trunk, the distance from the previous tree and the condition of the tree itself, using numbers 0,1,and 2. Each tree was labelled one to ten in order to chronologically keep track of the data and recordings. The species of the tree (Sugar Maple, Red Oak, Black Cherry, Bass Wood, Red Pine and White Spruce) was obtained by matching the leaves to the dichotomous tree guide provided in the lab manual. The diameter was the measurement of the tree trunk at breast height, measured in centimetres using the normal measuring tape. The distance was recorded in feet and stated the length from the previous tree to the current one being recorded using the transect measuring tape. The condition of the tree was measured using numbers, 0 representing dead, 1 representing living & small canopy, and 2 representing living & large canopy.
DOI: 10.7910/dvn/v1rjpf/94vxd4
title: mea20150114_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/it9yap
title: mea20160412_03.txt.gz

description: :unav