cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1566700
title: World Trade Network Textiles 2006

description: World trade data 2006 of "Textiles and Textile Articles" (sector codes from 50 to 63 of Section XI of HS 2002 Classification, http://unstats.un.org/unsd/tradekb/Knowledgebase/HS-Classification-by-Section). Source: United Nations, Commodity Trade Statistics Database (http://comtrade.un.org/).
DOI: 10.6084/m9.figshare.1566699
title: World Trade Network Electronics 2006

description: World trade data 2006 of "Electronics" (sector code 85 within Section XVI of HS 2002 Classification, http://unstats.un.org/unsd/tradekb/Knowledgebase/HS-Classification-by-Section). Source: United Nations, Commodity Trade Statistics Database (http://comtrade.un.org/).
DOI: 10.6084/m9.figshare.1566698
title: World Trade Network List of Countries

description: List of the world trade countries associated to datafiles http://dx.doi.org/10.6084/m9.figshare.1566700 (Textiles) and http://dx.doi.org/10.6084/m9.figshare.1566699 (Electronics).
DOI: 10.6084/m9.figshare.1566705.v1
title: A cautionary note on testing latent variable models

description: The dataset relates to a study that tackled the practice of testing latent variable models. The analysis covered recently published studies from 11 psychology journals varying in orientation and impact. Seventy-five studies that matched the criterion of applying some of the latent modeling techniques were reviewed. Results indicate the presence of the general tendency to ignore the model test (χ²) followed by acceptance of the approximate fit hypothesis without detailed model examination yielding relevant empirical evidence. The observed outcome of such reduced sensitivity to confront theory with data is an almost invariable tendency to accept the theoretical model. This absence of model test consequences manifested in frequently unsubstantiated neglect of evidence speaking against the model thus implies the perilous question of whether such empirical testing of latent structures (the way it is widely applied) makes sense at all.
DOI: 10.6084/m9.figshare.1566698.v1
title: World Trade Network List of Countries

description: List of the world trade countries associated to datafiles http://dx.doi.org/10.6084/m9.figshare.1566700 (Textiles) and http://dx.doi.org/10.6084/m9.figshare.1566699 (Electronics).
DOI: 10.6084/m9.figshare.1566699.v1
title: World Trade Network Electronics 2006

description: World trade data 2006 of "Electronics" (sector code 85 within Section XVI of HS 2002 Classification, http://unstats.un.org/unsd/tradekb/Knowledgebase/HS-Classification-by-Section). Source: United Nations, Commodity Trade Statistics Database (http://comtrade.un.org/).
DOI: 10.6084/m9.figshare.1566705.v2
title: Dataset for "A cautionary note on testing latent variable models"

description: The dataset relates to a study that tackled the practice of testing latent variable models. The analysis covered recently published studies from 11 psychology journals varying in orientation and impact. Seventy-five studies that matched the criterion of applying some of the latent modeling techniques were reviewed. Results indicate the presence of the general tendency to ignore the model test (χ²) followed by acceptance of the approximate fit hypothesis without detailed model examination yielding relevant empirical evidence. The observed outcome of such reduced sensitivity to confront theory with data is an almost invariable tendency to accept the theoretical model. This absence of model test consequences manifested in frequently unsubstantiated neglect of evidence speaking against the model thus implies the perilous question of whether such empirical testing of latent structures (the way it is widely applied) makes sense at all.
DOI: 10.6084/m9.figshare.1566693
title: Examining Corporate Governance within Ontario Health and it's affect on Operational Performance

description: Examining the diversity of the board members of Ontario Public Health and it's affect on Operational Performance (NPM, ROE, and Quality Index Score) between 2006-2012 (latest data available).
DOI: 10.6084/m9.figshare.1566705.v4
title: A cautionary note on testing latent variable models

description: The dataset relates to a study that tackled the practice of testing latent variable models. The analysis covered recently published studies from 11 psychology journals varying in orientation and impact. Seventy-five studies that matched the criterion of applying some of the latent modeling techniques were reviewed. Results indicate the presence of a general tendency to ignore the model test (χ²) followed by the acceptance of approximate fit hypothesis without detailed model examination yielding relevant empirical evidence. Due to reduced sensitivity of such a procedure to confront theory with data, there is an almost invariable tendency to accept the theoretical model. This absence of model test consequences, manifested in frequently unsubstantiated neglect of evidence speaking against the model, thus implies the perilous question of whether such empirical testing of latent structures (the way it is widely applied) makes sense at all.
DOI: 10.6084/m9.figshare.1566648
title: Field Sample Training With Insects - Pan Trap - Lab 3 Dataset 2

description: Equipment: 17 Pans, Soapy water, Sieve This lab was conducted by sampling grassland and wood lot areas on York University near the Danby Woodlot which took place on September 30, 2015 from 3:00pm – 5:00pm. The weather was breezy with temperatures around 17°C and the sky was slightly cloudy. The area in the grassland was slightly crowded with common milkweed and Red Clover plants. The wood lot habitat had a few Maple Trees and samplings. In the grassland, 9 pans were placed on the ground and in the wood lot 8 pans were placed on the ground. The collaborators for this lab were A. Amin and J. Quach. J. Quach placed the pans on the ground while A. Amin poured about 100 - 200ml off soapy water into each pan. The pans were arranged vertically, with alternating colours (blue, white and yellow) each 1 meter apart. There were no inclines or major obstacles in the grassland or the wood lot. At times it would be difficult to align the pans vertically without disturbing the environment so the solution was to place it at an angle but still keep the distance between each pan 1 meter. After an hour, I. Darman collected the pans while J. Quach took pictures of each pan and A. Amin cleared the pans using a sieve. I. Darman identified and recorded the insect type and abundance. The type of insect and abundance was recorded for each pan separately. For this experiment, it was initially designed to have equal number of pans for each habitat. However one pan was missing and there were more white plates placed in the woodlot.
DOI: 10.6084/m9.figshare.1566705.v3
title: A cautionary note on testing latent variable models

description: The dataset relates to a study that tackled the practice of testing latent variable models. The analysis covered recently published studies from 11 psychology journals varying in orientation and impact. Seventy-five studies that matched the criterion of applying some of the latent modeling techniques were reviewed. Results indicate the presence of a general tendency to ignore the model test (χ²) followed by the acceptance of approximate fit hypothesis without detailed model examination yielding relevant empirical evidence. Due to reduced sensitivity of such a procedure to confront theory with data, there is an almost invariable tendency to accept the theoretical model. This absence of model test consequences, manifested in frequently unsubstantiated neglect of evidence speaking against the model, thus implies the perilous question of whether such empirical testing of latent structures (the way it is widely applied) makes sense at all.
DOI: 10.6084/m9.figshare.1566648.v1
title: Field Sample Training With Insects - Pan Trap - Lab 3 Dataset 2

description: Equipment: 17 Pans, Soapy water, Sieve This lab was conducted by sampling grassland and wood lot areas on York University near the Danby Woodlot which took place on September 30, 2015 from 3:00pm – 5:00pm. The weather was breezy with temperatures around 17°C and the sky was slightly cloudy. The area in the grassland was slightly crowded with common milkweed and Red Clover plants. The wood lot habitat had a few Maple Trees and samplings. In the grassland, 9 pans were placed on the ground and in the wood lot 8 pans were placed on the ground. The collaborators for this lab were A. Amin and J. Quach. J. Quach placed the pans on the ground while A. Amin poured about 100 - 200ml off soapy water into each pan. The pans were arranged vertically, with alternating colours (blue, white and yellow) each 1 meter apart. There were no inclines or major obstacles in the grassland or the wood lot. At times it would be difficult to align the pans vertically without disturbing the environment so the solution was to place it at an angle but still keep the distance between each pan 1 meter. After an hour, I. Darman collected the pans while J. Quach took pictures of each pan and A. Amin cleared the pans using a sieve. I. Darman identified and recorded the insect type and abundance. The type of insect and abundance was recorded for each pan separately. For this experiment, it was initially designed to have equal number of pans for each habitat. However one pan was missing and there were more white plates placed in the woodlot.
DOI: 10.6084/m9.figshare.1566693.v1
title: Examining Corporate Governance within Ontario Health and it's affect on Operational Performance

description: Examining the diversity of the board members of Ontario Public Health and it's affect on Operational Performance (NPM, ROE, and Quality Index Score) between 2006-2012 (latest data available).
DOI: 10.6084/m9.figshare.1566644
title: Mowed and Unmoved grasslands

description: The sweep net experiment using transects was conducted on a sunny but breezy Wednesday afternoon (September 30th at 2:30 pm) in the mowed and unmowed areas of the Danby grasslands. The purpose of this experiment was to lay out 20 transects of 30 meters each and collect data on the total number of insects found within the length, as well as the number of unique species found (RTU - recognizable taxonomical unit). 10 transects were randomly placed in the mowed parts of the grasslands (GL), closer to the Chimneystack road and 10 transects were randomly placed in the unmowed parts of the grasslands (GL). The randomization of the transect placement was determined by flying a yellow colored plate and observing where it lands. Wherever the plate landed, that is where the next transect data was collected. The abundance and RTUs for the experiment were collected through careful observation of the net after each sweep and were recorded as integers. Sweeps were carried out for 15 counts. After each 15 count sweep, the net was analyzed for insects. The unique species collected during the experiment were leaf hoppers, grasshoppers, ants, flies, beetles, mosquitoes and an unidentifiable green insect. There were many instances throughout the experiment when spiders and snails were found, however since these organisms are not classifed as insects, the number was not included in the official count for insects. Group members: Alana, Murtuza, Chris
DOI: 10.6084/m9.figshare.1566645
title: Ecology lab 3 - Insects pitfall trap experiment of group 2 (lab 08) in Keele Campus on Sep 30, 2015

description: During the lab time (2:30-5:30) September 30, 2015, pitfall trap were set in both woodlot and on the grassland, the field was still located beside the law<br>school. There were 12 plastic bowls in total and in three colors: yellow, white and blue, 4 of each color. 12 plastic bowls were devided into 2 groups (2 of<br>each color and in total 6 of each group) and placed in woodlot and grassland. The distance of each bowl was set 1 meters away from each other. Each<br>bowl was filled with soup water (about a quater of the depth of the bowl) at the end of the lab, the insects that trapped in each bowl were counted and recorded. The pitfall trap was set by all the group members.
DOI: 10.6084/m9.figshare.1566642
title: The Diversity and Abundance of Insect Species in a Grassland, and a Woodlot

description: Group Members: Loyal Tran, Anisa Amin, James Quach, Iiman Darman The group was split into two to save time; dataset 1 was collected with Loyal Tran. This data was collected at the Danby woodlot, and the grassland next to it on September 30, 2015 from 15:15 to 16:10. A 1m x 1m quadrat was used to collect 20 random samples, 10 from the grassland, and the other 10 from the woodlot. It was a sunny day with a few clouds in the sky. The weather was 16 degrees Celsius with a cool breeze. The ground was cool and damp as it was raining the day before. Insect abundance and number of RTU's was determined in each sample. Insect abundance is defined as the total number of insects in a quadrat and was determined by counting the total number of insects seen within 1 minute of observation. Each sample was observed for 1 minute. The environment in the quadrat was disturbed (i.e. moving plants, scattering the soil, etc.) as to see the insects that may have been hidden in the soil or by the surrounding vegetation. This allowed for us to observe many more individuals and RTU's. Number of RTU's is an estimate of the number of species and is defined as the number of different recognizable taxonomic units. This was determined by counting individuals with different physical characteristics. Any individuals that had major differences in physical characteristics were counted thought of as 2 RTU's. This data may be prone to error as visual observation is imprecise. Insects may have been camouflaged, too small, or hidden under surrounding vegetation or the soil. All of these characteristics may have affected the precision of this data.
DOI: 10.6084/m9.figshare.1566644.v1
title: Mowed and Unmoved grasslands

description: The sweep net experiment using transects was conducted on a sunny but breezy Wednesday afternoon (September 30th at 2:30 pm) in the mowed and unmowed areas of the Danby grasslands. The purpose of this experiment was to lay out 20 transects of 30 meters each and collect data on the total number of insects found within the length, as well as the number of unique species found (RTU - recognizable taxonomical unit). 10 transects were randomly placed in the mowed parts of the grasslands (GL), closer to the Chimneystack road and 10 transects were randomly placed in the unmowed parts of the grasslands (GL). The randomization of the transect placement was determined by flying a yellow colored plate and observing where it lands. Wherever the plate landed, that is where the next transect data was collected. The abundance and RTUs for the experiment were collected through careful observation of the net after each sweep and were recorded as integers. Sweeps were carried out for 15 counts. After each 15 count sweep, the net was analyzed for insects. The unique species collected during the experiment were leaf hoppers, grasshoppers, ants, flies, beetles, mosquitoes and an unidentifiable green insect. There were many instances throughout the experiment when spiders and snails were found, however since these organisms are not classifed as insects, the number was not included in the official count for insects. Group members: Alana, Murtuza, Chris
DOI: 10.6084/m9.figshare.1565698
title: Distance Sampling of Bird Abundance in grassland at York Univeristy

description: This dataset was collected September 30th 2015 at the grasslot surrounding Stong pond, behind Osgood Law School at York University, Toronto ON. The weather was clear skies at 20 °C. The experiement had a groups of 4 conducting the transects, split into teams of 2eachs to be more time efficient. One team recorded 2 transects while the other did the last one. The group observed birds abundance and distribution in their natural habitat of the grassland. The original experiment involved recording frequency of birds, species, wind speed, the distance between the bird and the transect between different habitats at a higher transect rate. Due to time constraints, the group was only able to conduct the experiment in the grassland and not in the woodlot, also 3 transects were done instead of 5. To record the wind speed, the Beaufort scale was to be originally used. Since the two teams seperatly recorded each transect, there were some irregularities between them as example, the first team recorded the gender of ducks since it was evident but the second team did not. Both teams spotted similar distribution of species.
DOI: 10.6084/m9.figshare.1566168
title: Lab 3- Insect Abundance

description: The objective of this experiment was to use random sampling through the method of quadrats to measure the abundance of various insects in the grassland and woodland. The samples were collected by Huda and Ratiba. To obtain the abundance, 1m2 quadrat was placed randomly and plot was observed for thirty seconds using the timer on the phone. The samples 1 to 10 were taken in the grassland, and sample 11 to 20 were taken in the woodland. To begin with, the vegetation in the plot was not touched, or moved to see the insects beneath it. Instead, the insects were observed from a bird’s eye view. During the thirty second interval all the insects flying into the plot or crawling were recorded. The insects were identified by random recognizable taxonomic units during the thirty second observation. The list of features used to identify the insects are: spider- (black, light beige) and eight legs, bees-pair of wings, black and yellow stripes and six legs, ants-six legs, crawling, and brown and the flies- one set of wings, absence of yellow and black stripes. The RTUs and a tally mark (abundance) was recorded by the observers. The tally marks were used to record abundance as it was uncertain as to how many insects of the same taxonomic group would enter the plot. Later, the tally marks for abundance were counted and recorded in the data sheet as numerical values as it would make data analysis easier.
DOI: 10.6084/m9.figshare.1566642.v1
title: The Diversity and Abundance of Insect Species in a Grassland, and a Woodlot

description: Group Members: Loyal Tran, Anisa Amin, James Quach, Iiman Darman The group was split into two to save time; dataset 1 was collected with Loyal Tran. This data was collected at the Danby woodlot, and the grassland next to it on September 30, 2015 from 15:15 to 16:10. A 1m x 1m quadrat was used to collect 20 random samples, 10 from the grassland, and the other 10 from the woodlot. It was a sunny day with a few clouds in the sky. The weather was 16 degrees Celsius with a cool breeze. The ground was cool and damp as it was raining the day before. Insect abundance and number of RTU's was determined in each sample. Insect abundance is defined as the total number of insects in a quadrat and was determined by counting the total number of insects seen within 1 minute of observation. Each sample was observed for 1 minute. The environment in the quadrat was disturbed (i.e. moving plants, scattering the soil, etc.) as to see the insects that may have been hidden in the soil or by the surrounding vegetation. This allowed for us to observe many more individuals and RTU's. Number of RTU's is an estimate of the number of species and is defined as the number of different recognizable taxonomic units. This was determined by counting individuals with different physical characteristics. Any individuals that had major differences in physical characteristics were counted thought of as 2 RTU's. This data may be prone to error as visual observation is imprecise. Insects may have been camouflaged, too small, or hidden under surrounding vegetation or the soil. All of these characteristics may have affected the precision of this data.
DOI: 10.6084/m9.figshare.1566645.v1
title: Ecology lab 3 - Insects pitfall trap experiment of group 2 (lab 08) in Keele Campus on Sep 30, 2015

description: During the lab time (2:30-5:30) September 30, 2015, pitfall trap were set in both woodlot and on the grassland, the field was still located beside the law<br>school. There were 12 plastic bowls in total and in three colors: yellow, white and blue, 4 of each color. 12 plastic bowls were devided into 2 groups (2 of<br>each color and in total 6 of each group) and placed in woodlot and grassland. The distance of each bowl was set 1 meters away from each other. Each<br>bowl was filled with soup water (about a quater of the depth of the bowl) at the end of the lab, the insects that trapped in each bowl were counted and recorded. The pitfall trap was set by all the group members.
DOI: 10.6084/m9.figshare.1565695
title: Dataset 4- Determining the abundance of different bird species in Woodlot and Grassland

description: This lab was done at Danby woodlot and Grassland located at York University. The class was divided into groups of 4 or 5. My group members are Jordan Deosamy, Mandy Huynh and Dylan Stoll. Before the lab began we laid a transect to 15m down on the ground. A member of the group walked for 1 minute from the beginning of the transect to the end using binoculars and looking up. Within that 1 minute the amount of birds that flew over the transet was counted and the specie of bird was determined. Both of them were recorded. The position the bird flew across the transect was also recorded in meters. The wind speed was then recorded. This was repeated 5 times on the grassland and the woodlot. The purpose of finding the distance from transect to bird and the specie of bird is to know the specie types of different birds and their abundance. The environment condition for the woodlot was cool while the grassland was sunny.
DOI: 10.6084/m9.figshare.1565697
title: Ecology Lab 3 - Distance Based Data-set - Frequency of Birds

description: The purpose of this field observation was to determine the abundance and distribution of birds over a geographic area. We collected the data in the grassland outside of Saywell Woodlot on September 30th, 2015.<br><br>To measure the abundance of the various bird species in the grassland, we layed 4 transects (east to west) through an approximately 100 square meter area. Each trial was seperated by approximately 25 meters north to south. <br><br>We collected data by walking along each transect and recording the bird species identification and frequency as well as the approximate distance from the transect upon identification. We then approximated the windspeed by attributing a beaufort number to the conditions present. Each transect trial was recorded separated by trial number to ensure consistency in each set.
DOI: 10.6084/m9.figshare.1565698.v1
title: Distance Sampling of Bird Abundance in grassland at York Univeristy

description: This dataset was collected September 30th 2015 at the grasslot surrounding Stong pond, behind Osgood Law School at York University, Toronto ON. The weather was clear skies at 20 °C. The experiement had a groups of 4 conducting the transects, split into teams of 2eachs to be more time efficient. One team recorded 2 transects while the other did the last one. The group observed birds abundance and distribution in their natural habitat of the grassland. The original experiment involved recording frequency of birds, species, wind speed, the distance between the bird and the transect between different habitats at a higher transect rate. Due to time constraints, the group was only able to conduct the experiment in the grassland and not in the woodlot, also 3 transects were done instead of 5. To record the wind speed, the Beaufort scale was to be originally used. Since the two teams seperatly recorded each transect, there were some irregularities between them as example, the first team recorded the gender of ducks since it was evident but the second team did not. Both teams spotted similar distribution of species.