cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1228115.v2
title: Experiment designed to determine insect abundance and diversity at different times of day

description: The experiment was conducted to determine the insects abundance at day (8 A.M. to 8 P.M.) and night (8 P.M. to 8 A.M.) and if factors such as temperature and plant density have an effect on abundance. It was conducted in grassland located by Stong Pong, York University. Pit traps filled with soap water were setup on October 14, 2014 and the data were collected and recorded from October 15, 2014 to October 21, 2014. 3 random locations within the grassland were chosen and a transect line was used to setup 5 pit traps, each 5 meters apart, on each location. Each pit trap was observed, pictured, and required data (insect abundance and insect diversity) were collected twice each day at 8 A.M and 8 P.M. After each collection, pit traps were cleaned out and refilled with soap water and placed at the exact same location. Plant density around each pit trap was also visually observed and recorded along with the average temperature of each day during the entire experiment. In order to exclude complex environmental factors, data obtained during rainy days were ignored.
DOI: 10.6084/m9.figshare.1228109
title: Patient_13

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228111.v1
title: Ficha sosa cáustica

description: Ficha descriptiva de la sosa cáustica. Recomendaciones para uso, transporte y disposición final
DOI: 10.6084/m9.figshare.1228110.v1
title: Patient_11

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228115.v1
title: Experiment designed to determine insect abundance and diversity at different times of day

description: The experiment was conducted to determine the insects abundance at day (8 A.M. to 8 P.M.) and night (8 P.M. to 8 A.M.) and if factors such as temperature and plant density have an effect on abundance. It was conducted in grassland located by Stong Pong, York University. Pit traps filled with soap water were setup on October 14, 2014 and the data were collected and recorded from October 15, 2014 to October 21, 2014. 3 random locations within the grassland were chosen and a transect line was used to setup 5 pit traps, each 5 meters apart, on each location. Each pit trap was observed, pictured, and required data (insect abundance and insect diversity) were collected twice each day at 8 A.M and 8 P.M. After each collection, pit traps were cleaned out and refilled with soap water and placed at the exact same location. Plant density around each pit trap was also visually observed and recorded along with the average temperature of each day during the entire experiment. In order to exclude complex environmental factors, data obtained during rainy days were ignored.
DOI: 10.6084/m9.figshare.1228107
title: Ecology Lab 4 - Density and Species Richness

description: Two trials were conducted for this experiment. On October 15th, 2014 at 2:30pm the first trial began in the grasslands at York University. It was partly cloudy and a relatively warm day. Twenty different meter-squared quadrats were placed pseudo-randomly in order to give us the best possible results. We then counted how many Solidago (goldenrod) we were able to see within the quadrat being studied and record the number found as the density. Next, we measured the height, in centimeters, of three Solidago within the quadrat. These three were a proper representation of the general population within that quadrat and were chosen by the researcher. If there were less than three Solidago within the quadrat the results were not recorded. Using the three heights measured the mean average size was calculated and that height was recorded as the height for the quadrat. Lastly, the number of other species within each of the quadrats was determined and counted by the researcher and recorded as species richness. On October 22nd, 2014 at 2:30pm in the grasslands at York University the second trial took place. It was a cloudy, rainy day with cooler temperatures than the first trial. Despite the change in weather the same procedures took place for trial two as they did in trial one. This experiment was conducted to determine if height was positively correlated to species richness and density.
DOI: 10.6084/m9.figshare.1228108
title: Patient_14

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228109.v1
title: Patient_13

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228104
title: Patient_9

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228105
title: Patient_10

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228106
title: Patient_12

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228108.v1
title: Patient_14

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228103
title: Patient_8

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228104.v1
title: Patient_9

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228105.v1
title: Patient_10

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228106.v1
title: Patient_12

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228107.v2
title: Ecology Lab 4 - Density and Species Richness

description: Two trials were conducted for this experiment. On October 15th, 2014 at 2:30pm the first trial began in the grasslands at York University. It was partly cloudy and a relatively warm day. Twenty different meter-squared quadrats were placed pseudo-randomly in order to give us the best possible results. We then counted how many Solidago (goldenrod) we were able to see within the quadrat being studied and record the number found as the density. Next, we measured the height, in centimeters, of three Solidago within the quadrat. These three were a proper representation of the general population within that quadrat and were chosen by the researcher. If there were less than three Solidago within the quadrat the results were not recorded. Using the three heights measured the mean average size was calculated and that height was recorded as the height for the quadrat. Lastly, the number of other species within each of the quadrats was determined and counted by the researcher and recorded as species richness. On October 22nd, 2014 at 2:30pm in the grasslands at York University the second trial took place. It was a cloudy, rainy day with cooler temperatures than the first trial. Despite the change in weather the same procedures took place for trial two as they did in trial one. This experiment was conducted to determine if height was positively correlated to species richness and density.
DOI: 10.6084/m9.figshare.1228101
title: Patient_7

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228103.v1
title: Patient_8

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228107.v1
title: Ecology Lab 4 - Density and Species Richness

description: Two trials were conducted for this experiment. On October 15th, 2014 at 2:30pm the first trial began in the grasslands at York University. It was partly cloudy and a relatively warm day. Twenty different meter-squared quadrats were placed pseudo-randomly in order to give us the best possible results. We then counted how many Solidago (goldenrod) we were able to see within the quadrat being studied and record the number found as the density. Next, we measured the height, in centimeters, of three Solidago within the quadrat. These three were a proper representation of the general population within that quadrat and were chosen by the researcher. If there were less than three Solidago within the quadrat the results were not recorded. Using the three heights measured the mean average size was calculated and that height was recorded as the height for the quadrat. Lastly, the number of other species within each of the quadrats was determined and counted by the researcher and recorded as species richness. On October 22nd, 2014 at 2:30pm in the grasslands at York University the second trial took place. It was a cloudy, rainy day with cooler temperatures than the first trial. Despite the change in weather the same procedures took place for trial two as they did in trial one. This experiment was conducted to determine if height was positively correlated to species richness and density.
DOI: 10.6084/m9.figshare.1228098
title: Patient_2

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228099
title: Patient_5

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228100
title: Patient_6

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228101.v1
title: Patient_7

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228096
title: Patient_3

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228097
title: Patient_4

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228098.v1
title: Patient_2

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228099.v1
title: Patient_5

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228100.v1
title: Patient_6

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228096.v1
title: Patient_3

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228097.v1
title: Patient_4

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228088
title: Control_11

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228089
title: Control_10

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228090
title: Patient_1

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228088.v1
title: Control_11

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228087
title: Control_9

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228074
title: Control_1

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228089.v1
title: Control_10

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228090.v1
title: Patient_1

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228070
title: Cannabinoid metaanalysis on preclinical stroke: lesion volume data

description: The data provided includes stroke lesion volume by publication, drug subgroup, dose and time of administration.
DOI: 10.6084/m9.figshare.1228071
title: Control_8

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228073
title: Control_7

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228074.v1
title: Control_1

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228069
title: Control_3

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228069.v1
title: Control_3

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228070.v2
title: Cannabinoid metaanalysis on preclinical stroke: lesion volume data

description: The data provided includes stroke lesion volume by publication, drug subgroup, dose and time of administration.
DOI: 10.6084/m9.figshare.1228071.v1
title: Control_8

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228073.v1
title: Control_7

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228066
title: Control_5

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228067
title: Control_4

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228068
title: Control_6

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228070.v1
title: Cannabinoid metaanalysis on preclinical stroke, raw data on lesion volume

description: The data provided includes stroke lesion volume by publication, drug subgroup, dose and time of administration.
DOI: 10.6084/m9.figshare.1228065
title: Control_2

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228068.v1
title: Control_6

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228057
title: Determining Abundance of Varying Insect and Animal Life In Varying Disturbance SItes

description: On two seperate field days the grassland and Woodlot area around the Danby Woods were visited. The total abundance of insect and animal life was observed through quadrat and bait traps
DOI: 10.6084/m9.figshare.1228065.v1
title: Control_2

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228066.v1
title: Control_5

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228067.v1
title: Control_4

description: Archive of three EEG recordings named RAN30_1, RAN30_2, RAN30_3, each containing 32 trials that can be identified by the trigger called 'DIN'
DOI: 10.6084/m9.figshare.1228055
title: Species Diversity and Relationships amongst Interacting Plant Species

description: Methods: In order to better understand species diversity and relationships amongst potentially interacting species, a study was conducted on 14th October 2014 and 21st October 2014 at the Saywell Woodlot located at York University’s Keele campus (43° 46' 9.228"N, 79° 30' 29.556’’W). Beginning with laying a 100ft transect from the edge of the woodlot (closest to The Pond Rd) at a relatively straight line, to the centre of the woodlot, 25 adult trees were chosen using simple random sampling. Each tree was measured for tree diameter at breast height (ft), plant abundance within a 1.0m radius surrounding the tree, number of unique recognizable taxonomic units (rtus) as well as the type of landscape, canopy coverage and soil pH. To maintain consistency, only deciduous trees located 2-3ft perpendicular to the transect were observed and measured. An adult tree was classified as approximately 12.0ft or taller. This experiment was repeated once more the following week (10/21/14) for a total replication of 50 trees. In order to prevent measuring the same trees, the replication numbers 25-30 were measured from edge of the woodlot closest to Shoreham Dr.
DOI: 10.6084/m9.figshare.1228056
title: Data for Inter-annual variability of fledgling sex ratio in king penguins

description: The dataset gives the sex and morphological measurement of king penguin fledglings, as well as the year of their fledging and their hatching period. This is the dataset on which the paper "Inter-annual variability of fledgling sex ratio in king penguins" published in PLoS ONE is based. Here is a summary of this paper: As the number of breeding pairs depends on the adult sex ratio in a monogamous species with biparental care, investigating sex-ratio variability in natural populations is essential to understand population dynamics.<br>Using 10 years of data (2000-2009) in a seasonally monogamous seabird, the king penguin (Aptenodytes patagonicus), we investigated the annual sex ratio at fledging, and the potential environmental causes for its variation.<br>Over more than 4000 birds, the annual sex ratio at fledging was highly variable (ranging from 44.4% to 58.3% of males), and on average slightly biased towards males (51.6%).<br>Yearly variation in sex-ratio bias was neither related to density within the colony, nor to global or local oceanographic conditions known to affect both the productivity and accessibility of penguin foraging areas. However, rising sea surface temperature coincided with an increase in fledging sex-ratio variability. Fledging sex ratio was also correlated with difference in body condition between male and female fledglings. When more males were produced in a given year, their body condition was higher (and reciprocally), suggesting that parents might adopt a sex-biased allocation strategy depending on yearly environmental conditions and/or that the effect of environmental parameters on chick condition and survival may be sex-dependent.<br>The initial bias in sex ratio observed at the juvenile stage tended to return to 1:1 equilibrium upon first breeding attempts, as would be expected from Fisher’s classic theory of offspring sex ratio variation.
DOI: 10.6084/m9.figshare.1228053
title: Squirrel abundance in natural and urban environment

description: <strong>Data collected by: </strong>David, Jessie, Mark, Martina, Patrick <strong>Method: </strong> In order to support our hypothesis that squirrel population is abundant in urban environment compared to natural environment, we set to collect data in habitats representing these two environments. Data for the natural environment was collected from Danby Woods and Boynton Woods on York University Keele Campus. Data for the urban environment was collected from random human populated grounds in York University Keele Campus. A transect of 100 paces was sampled 20 times each in urban and natural environment - 20 on campus, 10 in Danby and 10 in Boynton. The abundance of squirrels, humans, food, colour of the squirrels were noted. The woodlots was the control group as it was the natural environment of the squirrels. Transect Number: Stands for the number of transect sampled. Squirrel Abundance: Number of squirrels found within the visible area in a transect. Distance: Measured in meters. It is the distance away from the transect where a squirrel was spotted. Human Abundance: Measured on a scale of 0 - 2. It is an approximation of human population present in the area where the transect was sampled. 0 - no humans; 1 - less than 5 humans; 2 - more than 5 humans Food Density: Measured on a scale of 0 - 2. It is an approximation of abundance of food present, natural or human food in the area where the transect was sampled. 0 - no humans; 1 - less than 5 humans; 2 - more than 5 humans Colour: The coat colour of the squirrels were noted additionally. Observed colours were grey and black. Location: Transects were sampled randomly on campus and in the woodlots, Danby and Boynton. <strong>Legend:</strong> B - black (colour) G - grey (colour) C - campus (location) BW - Boynton woods (location) DW - Danby woods (location) <strong>Data collected on: </strong>October 14th (Day 1 - 16 degrees) and October 21st (Day 2 - ~10 degrees)