cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1185721.v1
title: BIOL 2050- LAB 2

description: Data was collected on September 24, 2014 at a grassland on the York University Keele Campus. The species <em>Cnicus vulgare</em> (or the Common Thistle) was observed on a single transect line in the grassland. The transect line was placed randomly in the grassland and a person walked along the line to observe the abundance of plant species, and to identify the chosen species. The sample size was 20 individuals. Every objective plant spotted was numbered off randomly and observed in its position on the transect line, and its traits were recorded. These traits include the height of the plant in centimeters, the position or distance within the 20 meters of the transect line, the number of flowers which could be observed, the number of leaves which could be observed, and the level of crowding. These steps were repeated 20 times for each individual plant that was observed, and the data was recorded.
DOI: 10.6084/m9.figshare.1185647
title: Vegetative properties of Danby Woods grasslands

description: Observations were made in the grasslands of Danby Woods on the York University Keele Campus. A 1m by 1m quadrat was placed directly on the ground at random and the floral and vegatative contents of the quadrat were analyzed. Data recorded included nomenclature of species present in the quadrat,species richness, individual species abundance and area coverage. 20 samples were taken for this dataset. Leaf and flower petal samples were taken from ambiguous species to confirm that the accuracy of binomial classifications they were categorized under. Graminoids were excluded from recorded species as they were present in abundance in all samples taken.
DOI: 10.6084/m9.figshare.1185643
title: Ecology Week3 Woodlot Dataset 4

description: Ateeb Khan The experient was conducted in order to observe the characteristics of a single species of trees and their respective saplings. This was achieved for 10 sugar maple trees by running a 25m transect tape through a woodlot forest and recording data such as diameter at breast height of the tree and nearest sapling, distance to nearest sapling and canopy coverage of the tree. This was done by myself and the aid of my peer Akhilesh by using our hands and other items as a reference for length, and comparing it to the transect measuring tape for a more accurate length. The 10 closest trees (of the same species) to the transect tape were used for the experiment
DOI: 10.6084/m9.figshare.1185644
title: Lab02 Dataset 4

description: For this lab we collected data in York University on monday september 22 2014, this is the sample data sheet for excercise 4. For this data set Farnaz used transect to measure the circumference of trees and bahar recorded data. Other members of group helped to collect the data. We choose White oak species that were easily observable, and then we randomly chose adult whiteoak trees for every sapling. Then measured the circumference and DBH (Diameter at Breast Height) of both sapling and adult trees. ALso, in addition we as a group of 4 measured the canopy coverage percentage.The canopy coverage was estimated for adult white oak trees in percentage; this was done by making a square with one's fingers, pointing them up and the estimate of the percentage of the cover provided by the canopy.The total population of trees were 10 pairs of spling and the adult white oak trees.
DOI: 10.6084/m9.figshare.1185723.v1
title: Review materials for Tressoldi et al 2014

description: Supplementary materials for my review of Tressoldi P et al. 2014. "Brain-to-Brain (mind-to-mind) interaction at distance: a confirmatory study" Version 2. StimulusTimecourses.png: Stimulus time courses extracted from raw data in Tressoldi P, Pederzoli L, Bilucaglia M et al. v2 "Brain-to-Brain (mind-to-mind) interaction at distance" Each row corresponds to the stimulus time course for one of the 20 pairs of participants. Upwards bumps in these plots indicate stimulus (signal) periods, the rest are baseline (silence) periods. The strong correlation between the different stimulus protocols is immediately obvious. For the majority (13) of pairs the first stimulus occurred after one minute. For the remainder (7) the first stimulus occurred after 2 minutes. In addition to the high predictability of these time courses, this plot also demonstrates that the intial silence period was not randomized to be 1, 2, or 3 minutes as claimed in the manuscript, but simply either 1 or 2 minutes. TemporalCorrelations.png: Temporal correlations between raw data randomly sampled into 50% training and 50% testing samples as done in the analysis by Tressoldi P, Pederzoli L, Bilucaglia M et al. v2 "Brain-to-Brain (mind-to-mind) interaction at distance". Each panel shows a 2D density histogram. Hotter colours indicate a greater frequency of data points clustering in that location. These plots compare the randomly assigned "training samples" to the remaining "testing samples". The four columns correspond to EEG channels 1-4. The four rows are four repetitions in which a new set of training/test samples have been assigned randomly. For most plots the strong correlation between the randomly assigned samples is evident even on visual inspection. Even for the plots that seem to show less of a correlation (e.g. the fourth column) the Pearson's correlation is extremely significant. It should not be surprising that a powerful classifier can exploit such correlations to decode arbitrary stimulus labels.
DOI: 10.6084/m9.figshare.1185643.v1
title: Ecology Week3 Woodlot Dataset 4

description: Ateeb Khan The experient was conducted in order to observe the characteristics of a single species of trees and their respective saplings. This was achieved for 10 sugar maple trees by running a 25m transect tape through a woodlot forest and recording data such as diameter at breast height of the tree and nearest sapling, distance to nearest sapling and canopy coverage of the tree. This was done by myself and the aid of my peer Akhilesh by using our hands and other items as a reference for length, and comparing it to the transect measuring tape for a more accurate length. The 10 closest trees (of the same species) to the transect tape were used for the experiment
DOI: 10.6084/m9.figshare.1185644.v1
title: Lab02 Dataset 4

description: For this lab we collected data in York University on monday september 22 2014, this is the sample data sheet for excercise 4. For this data set Farnaz used transect to measure the circumference of trees and bahar recorded data. Other members of group helped to collect the data. We choose White oak species that were easily observable, and then we randomly chose adult whiteoak trees for every sapling. Then measured the circumference and DBH (Diameter at Breast Height) of both sapling and adult trees. ALso, in addition we as a group of 4 measured the canopy coverage percentage.The canopy coverage was estimated for adult white oak trees in percentage; this was done by making a square with one's fingers, pointing them up and the estimate of the percentage of the cover provided by the canopy.The total population of trees were 10 pairs of spling and the adult white oak trees.
DOI: 10.6084/m9.figshare.1185723.v2
title: Review materials for Tressoldi et al 2014

description: Supplementary materials for my review of Tressoldi P et al. 2014. "Brain-to-Brain (mind-to-mind) interaction at distance: a confirmatory study" Version 2. StimulusTimecourses.png: Stimulus time courses extracted from raw data in Tressoldi P, Pederzoli L, Bilucaglia M et al. v2 "Brain-to-Brain (mind-to-mind) interaction at distance" Each row corresponds to the stimulus time course for one of the 20 pairs of participants. Upwards bumps in these plots indicate stimulus (signal) periods, the rest are baseline (silence) periods. The strong correlation between the different stimulus protocols is immediately obvious. For the majority (13) of pairs the first stimulus occurred after one minute. For the remainder (7) the first stimulus occurred after 2 minutes. In addition to the high predictability of these time courses, this plot also demonstrates that the intial silence period was not randomized to be 1, 2, or 3 minutes as claimed in the manuscript, but simply either 1 or 2 minutes. TemporalCorrelations.png: Temporal correlations between raw data randomly sampled into 50% training and 50% testing samples as done in the analysis by Tressoldi P, Pederzoli L, Bilucaglia M et al. v2 "Brain-to-Brain (mind-to-mind) interaction at distance". Each panel shows a 2D density histogram. Hotter colours indicate a greater frequency of data points clustering in that location. These plots compare the randomly assigned "training samples" to the remaining "testing samples". The four columns correspond to EEG channels 1-4. The four rows are four repetitions in which a new set of training/test samples have been assigned randomly. For most plots the strong correlation between the randomly assigned samples is evident even on visual inspection. Even for the plots that seem to show less of a correlation (e.g. the fourth column) the Pearson's correlation is extremely significant. It should not be surprising that a powerful classifier can exploit such correlations to decode arbitrary stimulus labels.
DOI: 10.6084/m9.figshare.1185641
title: Biol2050 Week 3: Lab2; Step 3: Grasslands

description: Collected data based on the number of plants, number of species of plants excluding the grass and precentage of vegitation vs grassland within a 1 meter by 1 meter quadract. The quadract was placed at random 25 times around the grasslands east of Stong Pond between the hours of 2:30pm - 5:30pm on September, 22, 2014. The weather outside was sunny with a temperature of 20 degrees Celsius.
DOI: 10.6084/m9.figshare.1185647.v1
title: Vegetative Properties of Danby Woods Grasslands

description: Observations were made in the grasslands of Danby Woods on the York University Keele Campus. A 1m by 1m quadrat was placed directly on the ground at random and the floral and vegatative contents of the quadrat were analyzed. Data recorded included nomenclature of species present in the quadrat,species richness, individual species abundance and area coverage. 20 samples were taken for this dataset. Leaf and flower petal samples were taken from ambiguous species to confirm that the accuracy of binomial classifications they were categorized under. Graminoids were excluded from recorded species as they were present in abundance in all samples taken.
DOI: 10.6084/m9.figshare.1185723.v3
title: Review materials for Tressoldi et al 2014

description: Supplementary materials for my review of Tressoldi P et al. 2014. "Brain-to-Brain (mind-to-mind) interaction at distance: a confirmatory study" Version 2. StimulusTimecourses.png: Stimulus time courses extracted from raw data in Tressoldi P, Pederzoli L, Bilucaglia M et al. v2 "Brain-to-Brain (mind-to-mind) interaction at distance" Each row corresponds to the stimulus time course for one of the 20 pairs of participants. Upwards bumps in these plots indicate stimulus (signal) periods, the rest are baseline (silence) periods. The strong correlation between the different stimulus protocols is immediately obvious. For the majority (13) of pairs the first stimulus occurred after one minute. For the remainder (7) the first stimulus occurred after 2 minutes. In addition to the high predictability of these time courses, this plot also demonstrates that the intial silence period was not randomized to be 1, 2, or 3 minutes as claimed in the manuscript, but simply either 1 or 2 minutes. TemporalCorrelations.png: Temporal correlations between raw data randomly sampled into 50% training and 50% testing samples as done in the analysis by Tressoldi P, Pederzoli L, Bilucaglia M et al. v2 "Brain-to-Brain (mind-to-mind) interaction at distance". Each panel shows a 2D density histogram. Hotter colours indicate a greater frequency of data points clustering in that location. These plots compare the randomly assigned "training samples" to the remaining "testing samples". The four columns correspond to EEG channels 1-4. The four rows are four repetitions in which a new set of training/test samples have been assigned randomly. For most plots the strong correlation between the randomly assigned samples is evident even on visual inspection. Even for the plots that seem to show less of a correlation (e.g. the fourth column) the Pearson's correlation is extremely significant. It should not be surprising that a powerful classifier can exploit such correlations to decode arbitrary stimulus labels.
DOI: 10.6084/m9.figshare.1185641.v2
title: Biol2050 Week 3: Lab2; Step 3: Grasslands

description: Collected data based on the number of plants, number of species of plants excluding the grass and precentage of vegitation vs grassland within a 1 meter by 1 meter quadract. The quadract was placed at random 25 times around the grasslands east of Stong Pond between the hours of 2:30pm - 5:30pm on September, 22, 2014. The weather outside was sunny with a temperature of 20 degrees Celsius.
DOI: 10.6084/m9.figshare.1185641.v1
title: Biol2050 Week 3: Lab2

description: Collected data based on the number of plants, number of species of plants excluding the grass and precentage of vegitation vs grassland within a 1 meter by 1 meter quadract. The quadract was placed at random 25 times around the grasslands east of Stong Pond between the hours of 2:30pm - 5:30pm on September, 22, 2014. The weather outside was sunny with a temperature of 20 degrees Celsius.
DOI: 10.6084/m9.figshare.1185647.v2
title: Vegetative properties of Danby Woods grasslands

description: Observations were made in the grasslands of Danby Woods on the York University Keele Campus. A 1m by 1m quadrat was placed directly on the ground at random and the floral and vegatative contents of the quadrat were analyzed. Data recorded included nomenclature of species present in the quadrat,species richness, individual species abundance and area coverage. 20 samples were taken for this dataset. Leaf and flower petal samples were taken from ambiguous species to confirm that the accuracy of binomial classifications they were categorized under. Graminoids were excluded from recorded species as they were present in abundance in all samples taken.
DOI: 10.6084/m9.figshare.1185647.v4
title: Vegetative properties of Danby Woods grasslands

description: Observations were made in the grasslands of Danby Woods on the York University Keele Campus. A 1m by 1m quadrat was placed directly on the ground at random and the floral and vegatative contents of the quadrat were analyzed. Data recorded included nomenclature of species present in the quadrat,species richness, individual species abundance and area coverage. 20 samples were taken for this dataset. Leaf and flower petal samples were taken from ambiguous species to confirm that the accuracy of binomial classifications they were categorized under. Graminoids were excluded from recorded species as they were present in abundance in all samples taken.
DOI: 10.6084/m9.figshare.1185647.v3
title: Vegetative properties of Danby Woods grasslands

description: Observations were made in the grasslands of Danby Woods on the York University Keele Campus. A 1m by 1m quadrat was placed directly on the ground at random and the floral and vegatative contents of the quadrat were analyzed. Data recorded included nomenclature of species present in the quadrat,species richness, individual species abundance and area coverage. 20 samples were taken for this dataset. Leaf and flower petal samples were taken from ambiguous species to confirm that the accuracy of binomial classifications they were categorized under. Graminoids were excluded from recorded species as they were present in abundance in all samples taken.
DOI: 10.6084/m9.figshare.1185624
title: Ecology Lab 2: Techniques & data: field training with plants (traits, transects, and quadrats)

description: 10 pairs of adult trees along a 100m transect were obsreved at York University's Saywell woodlock, from 2:45pm - 3:30pm on September 23rd 2014. The distance between one tree and its pair tree was measured was measured in metres (m) by the transect and noted. The diameter at breast hieght of each tree was also measured. The tree condition was observed and noted. Adult trees were judged on the basis of bieng 10ft and above in hieght.
DOI: 10.6084/m9.figshare.1185624.v1
title: Ecology Lab 2: Techniques & data: field training with plants (traits, transects, and quadrats)

description: 10 pairs of adult trees along a 100m transect were obsreved at York University's Saywell woodlock, from 2:45pm - 3:30pm on September 23rd 2014. The distance between one tree and its pair tree was measured was measured in metres (m) by the transect and noted. The diameter at breast hieght of each tree was also measured. The tree condition was observed and noted. Adult trees were judged on the basis of bieng 10ft and above in hieght.
DOI: 10.6084/m9.figshare.1185601
title: York University Keele Campus’s WoodLot, Dataset 4

description: See the attached word document for further details.
DOI: 10.6084/m9.figshare.1185611
title: Tridacty dinosaur track, Whitby, UK

description: A pretty poorly preserved tridactyl track, probably theropod (but could be ornithopod). Loose boulder on the beach, heavily weathered.<br><em>Notes:</em> Found during field trip for SVPCA 2014 conference.
DOI: 10.6084/m9.figshare.1185601.v1
title: York University Keele Campus’s WoodLot, Dataset 4

description: See the attached word document for further details.
DOI: 10.6084/m9.figshare.1185599
title: Gaussian Job Archive for C14H14N2OS

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1185596
title: Hypertension new fileset

description: Here is the SPSS data of a research done intitled with " Prevalence and Associated factors of Hypertension among Adults in Durame town"
DOI: 10.6084/m9.figshare.1185597
title: Grassland Dataset 1

description: Gunjan Bhayani. Group 1 The abundance of plant species in the grassland area at York University, Keele Campus was measured by setting up 1m X 1m quadrat on the ground. A quick count of all the plant individuals present in the quadrat was done to measure the total abundance of plants. Next, total number of different plant species present in the quadrat was measured by, doing a sum of all the species of plants in the quadrat including grass. Different grass-like species were counted as one. Later, total cover of all vegetation within plots in percentage, and total cover of grass in percentage were estimated. An estimate of what percentage of different species of plants covered the quadrat, not including grass was total cover of all vegetation. An estimate of percentage of grass that covers the quadrat helped determine the total cover of grass in the quadrat. This was repeated 15 times hence, 15 different quadrats were performed randomly in the grassland area.
DOI: 10.6084/m9.figshare.1185597.v1
title: Grassland Dataset 1

description: Gunjan Bhayani. Group 1 The abundance of plant species in the grassland area at York University, Keele Campus was measured by setting up 1m X 1m quadrat on the ground. A quick count of all the plant individuals present in the quadrat was done to measure the total abundance of plants. Next, total number of different plant species present in the quadrat was measured by, doing a sum of all the species of plants in the quadrat including grass. Different grass-like species were counted as one. Later, total cover of all vegetation within plots in percentage, and total cover of grass in percentage were estimated. An estimate of what percentage of different species of plants covered the quadrat, not including grass was total cover of all vegetation. An estimate of percentage of grass that covers the quadrat helped determine the total cover of grass in the quadrat. This was repeated 15 times hence, 15 different quadrats were performed randomly in the grassland area.
DOI: 10.6084/m9.figshare.1185593
title: Deer, Soil, Richmond, UK

description: Deer Track in coarse soil.
DOI: 10.6084/m9.figshare.1185596.v1
title: Hypertension new fileset

description: Here is the SPSS data of a research done intitled with " Prevalence and Associated factors of Hypertension among Adults in Durame town"
DOI: 10.6084/m9.figshare.1185599.v1
title: Gaussian Job Archive for C14H14N2OS

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1185592
title: Data for 99 neurons in the visual cortex

description: Table of parameters measured in intracellular recorded primary visual cortical neurons following different current injection protocols as in Descalzo et al 2014, Plos One.
DOI: 10.6084/m9.figshare.1185577
title: Supporting Figure for Descalzo et al Plos One 2014

description: Supporting figure illustrating amplitude of postafterhyperpolarization following different firing patterns.
DOI: 10.6084/m9.figshare.1185579
title: Using growth and decline factors to project VOC emissions from oil and gas production

description: Projecting future-year emission inventories in the oil and gas sector is complicated by the fact that there is a life cycle to the amount of production from individual wells and thus from well fields in aggregate. Here we present a method to account for that fact in support of regulatory policy development. This approach also has application to air quality modeling inventories by adding a second tier of refinement to the projection methodology. Currently, modeling studies account for the future decrease in emissions due to new regulations based on the year those regulations are scheduled to take effect. The addition of a year-by-year accounting of production decline provides a more accurate picture of emissions from older, uncontrolled sources. This proof of concept approach is focused solely on oil production; however, it could be used for the activity and components of natural gas production to compile a complete inventory for a given area.Implications: <i>The Uinta Basin has unique atmospheric chemistry regimes during the winter that create ozone concentrations far exceeding those in the largest U.S. cities. This is also an area of complex regulatory authority shared among state, tribal, and federal agencies. This research accounts for regulations that are currently being implemented, and ties the effect of those regulations to emission factors used to estimate future-year inventories. This approach holds promise for future-year projections of oil and gas inventories for the region by providing a more representative life cycle of oil and gas emissions, including the disproportionate impact of older, uncontrolled sources.</i>
DOI: 10.6084/m9.figshare.1185593.v1
title: Deer, Soil, Richmond, UK

description: Deer Track in coarse soil.