cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3833202
title: Ecology: A introductory lab study on the relationship between gender and hair colour

description: Methods: In order study the relationship between hair colour and gender of human subjects, a sample verbal survey was conducted. Subjects that were present during the ecology lab04 on Thursday September 15, 2016 were asked 2 simple questions; their gender and hair colour. The verbal survey took about 5-10 mins to complete. <br>Study Site: This study took place at York University, Lumbers Building 118. <br>Hypothesis: Gender has no effect on an individuals hair colour. Hair colour is inherited from either one of the parent. <br>Prediction: <br>1. Gender has no affect on hair colour as the gene that codes for these traits are not the same.<br>2. Hair dyes are common use, therefore will have no effect on gender. <br>Group Members: Keerthana, Matthew, Abesan, and Andrew<br>
DOI: 10.6084/m9.figshare.3833202.v1
title: Ecology: A introductory lab study on the relationship between gender and hair colour

description: Methods: In order study the relationship between hair colour and gender of human subjects, a sample verbal survey was conducted. Subjects that were present during the ecology lab04 on Thursday September 15, 2016 were asked 2 simple questions; their gender and hair colour. The verbal survey took about 5-10 mins to complete. <br>Study Site: This study took place at York University, Lumbers Building 118. <br>Hypothesis: Gender has no effect on an individuals hair colour. Hair colour is inherited from either one of the parent. <br>Prediction: <br>1. Gender has no affect on hair colour as the gene that codes for these traits are not the same.<br>2. Hair dyes are common use, therefore will have no effect on gender. <br>Group Members: Keerthana, Matthew, Abesan, and Andrew<br>
DOI: 10.7910/dvn/v1rjpf/3kqu2i
title: mea20170731_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3833199
title: Introduction to Ecology; Correlation between hair color and gender/sex

description: Methods: To assess the relationship between hair color and gender, 22 human subjects were surveyed. For hair color options given, there was only red, brown, blonde and black. For gender options given, there was only male and female. Subjects picked which options best identified themselves. Study Site: Indoors at the Lumbers building at York University in a laboratory classroom;GPS 43.774732, -79.504990. There were no problems with visibility since weather was clear and lighting in the room was bright. No one's hair was covered and hair was clearly visible. All data was verbally communicated from the participants. Hypothesis: More females than males will display light hair colors (brown, red, blonde) due to the sexual selection by males that may favor light hair colors over darker hair colors. <br>Predictions: 1)The ratio of females with light hair color will be higher than the ratio of males with light hair color because of sexual selection in light hair color(brown, red, blonde) in females. 2) Females will have a larger occurrence of hair colors different from natural biological hair color because of popular personalities or personal preference.
DOI: 10.7910/dvn/v1rjpf/rv5e79
title: mea20170215_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/pfaxni
title: mea20170409_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/yumbt4
title: mea20170706_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3833193
title: Achal Data.csv

description: Gender Refers to the gender of students in the lab study conductedGlasses refers to prescription glasses that the students are wearing
DOI: 10.7910/dvn/v1rjpf/mqdqpv
title: mea20170112_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3833193.v1
title: Achal Data.csv

description: Gender Refers to the gender of students in the lab study conductedGlasses refers to prescription glasses that the students are wearing
DOI: 10.7910/dvn/v1rjpf/vmouit
title: mea20170106_03.txt.gz

description: :unav
DOI: 10.5281/zenodo.4005379
title: Koniunktura gospodarcza województwa łódzkiego. I półrocze 2020. Dane źródłowe

description: Prezentacja danych źródłowych do Raportu "Koniunktura gospodarcza województwa łódzkiego. I półrocze 2020. Raport Statystyczny Społecznej Akademii Nauk nr 1(2020)
DOI: 10.6073/pasta/4f58a10c2280d33b521057b5d249b575
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 13 meteorological station: 1-hour summary data: 2017 - ongoing

description: This data package contains hourly air temperature, relative humidity, wind speed, wind direction, and precipitation summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-13 met station. Air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.6084/m9.figshare.3833184
title: Introduction to Ecology: Quick Study of Hair Colour and Gender in the Classroom

description: <b>Methods:</b> In order to assess the relationship between hair colour and gender, 24 human subjects were surveyed during a laboratory session. <br><b>Study Site: </b>York University, Lumbers Building Room 118, Toronto, ON, Canada. Study taken indoors.<br><b>Hypothesis: </b>There is no relationship between hair colour and gender because the inheritance of hair colour depends on the parental genes that are passed on to each 24 individuals in the study. <br><b>Prediction:</b> Any sex can obtain any of the 4 hair colours observed - brown, black, red, or blonde hair.<br><b>Group Members:</b> Matthew Fernandez, Lanisha Thangeswaran, Niyousha Taati, Sarah Pecile<br><br>
DOI: 10.6084/m9.figshare.3833184.v1
title: Introduction to Ecology: Quick Study of Hair Colour and Gender in the Classroom

description: <b>Methods:</b> In order to assess the relationship between hair colour and gender, 24 human subjects were surveyed during a laboratory session. <br><b>Study Site: </b>York University, Lumbers Building Room 118, Toronto, ON, Canada. Study taken indoors.<br><b>Hypothesis: </b>There is no relationship between hair colour and gender because the inheritance of hair colour depends on the parental genes that are passed on to each 24 individuals in the study. <br><b>Prediction:</b> Any sex can obtain any of the 4 hair colours observed - brown, black, red, or blonde hair.<br><b>Group Members:</b> Matthew Fernandez, Lanisha Thangeswaran, Niyousha Taati, Sarah Pecile<br><br>
DOI: 10.7910/dvn/v1rjpf/ctpq4l
title: mea20170907_03.txt.gz

description: :unav
DOI: 10.5281/zenodo.4005378
title: Koniunktura gospodarcza województwa łódzkiego. I półrocze 2020. Dane źródłowe

description: Prezentacja danych źródłowych do Raportu "Koniunktura gospodarcza województwa łódzkiego. I półrocze 2020. Raport Statystyczny Społecznej Akademii Nauk nr 1(2020)
DOI: 10.6084/m9.figshare.3833172
title: Introduction to Ecology: A Study on Hair and Gender

description: Methods: In order to assess the relationship between hair colour and gender, 23 human subjects were surveyed. Students were placed in five groups- two groups of five and three groups of four. The lab group I was working with consisted of four members and each member surveyed one lab group (not including our own) and shared data. Measurements were categorical because gender and hair colour are measure in categories. Students in the lab were surveyed by other students and two questions were ask 1) what is your gender; 2) What is your hair colour, students wrote down what answers were given. Students were allotted fifteen minutes to survey and collect data for our lab section. This was done as a trial to allow the students to familiarize themselves with Figshare, to better understand the difference between data and meta-data, and to help students improve for future assignments. Study site: This study took place at York University on Thursday September 15, 2016, in the Lumbers building room 118 lab section 04. This lab was conducted indoors.<br>Hypothesis: Hair colour has no impact on gender because there is no genetic or chromosomal influence that directly relates hair colour and gender. Predictions: 1) The colour spectrum in regards to hair colour for students to choose from will be wider because of the advancement of science and the ability to dye hair. 2) This is 2016 and because it is 2016 hair colour is not contingent upon gender and therefore the sky is the limit. 3) Weather will have no impact on hair colour because the activity of colouring hair is not permitted during the lab and science has not yet advanced to the point of hair colour changing under certain weather conditions. Group members: Brenda Espin, Kiana Malak Hosseini, Michelle Urman
DOI: 10.6084/m9.figshare.3833172.v1
title: Introduction to Ecology: A Study on Hair and Gender

description: Methods: In order to assess the relationship between hair colour and gender, 23 human subjects were surveyed. Students were placed in five groups- two groups of five and three groups of four. The lab group I was working with consisted of four members and each member surveyed one lab group (not including our own) and shared data. Measurements were categorical because gender and hair colour are measure in categories. Students in the lab were surveyed by other students and two questions were ask 1) what is your gender; 2) What is your hair colour, students wrote down what answers were given. Students were allotted fifteen minutes to survey and collect data for our lab section. This was done as a trial to allow the students to familiarize themselves with Figshare, to better understand the difference between data and meta-data, and to help students improve for future assignments. Study site: This study took place at York University on Thursday September 15, 2016, in the Lumbers building room 118 lab section 04. This lab was conducted indoors.<br>Hypothesis: Hair colour has no impact on gender because there is no genetic or chromosomal influence that directly relates hair colour and gender. Predictions: 1) The colour spectrum in regards to hair colour for students to choose from will be wider because of the advancement of science and the ability to dye hair. 2) This is 2016 and because it is 2016 hair colour is not contingent upon gender and therefore the sky is the limit. 3) Weather will have no impact on hair colour because the activity of colouring hair is not permitted during the lab and science has not yet advanced to the point of hair colour changing under certain weather conditions. Group members: Brenda Espin, Kiana Malak Hosseini, Michelle Urman
DOI: 10.6084/m9.figshare.3833157
title: Ecology Introduction: A Study of Hair Colour & Gender

description: Methods:Understanding the relationship between hair colour and gender by surveying 23 students to determine the relationship.Study Site: Classroom at York University (Lumbers Building), Toronto, Ontario, CanadaHypothesis: I predict there will be no relationship between a students gender and hair colour.Predictions:1) I predict that most people will have brown hair.2) I predict that gender will have no effect on hair colour.Group Members:Sarah PecileNiusha TaatiLaura NatiLanisha Thangeswaran<br>
DOI: 10.7910/dvn/v1rjpf/6rslyq
title: mea20170604_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/gkeazd
title: mea20170829_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3833157.v1
title: Ecology Introduction: A Study of Hair Colour & Gender

description: Methods:Understanding the relationship between hair colour and gender by surveying 23 students to determine the relationship.Study Site: Classroom at York University (Lumbers Building), Toronto, Ontario, CanadaHypothesis: I predict there will be no relationship between a students gender and hair colour.Predictions:1) I predict that most people will have brown hair.2) I predict that gender will have no effect on hair colour.Group Members:Sarah PecileNiusha TaatiLaura NatiLanisha Thangeswaran<br>
DOI: 10.7910/dvn/v1rjpf/m7xab1
title: mea20170204_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3833112
title: HIV_SPLA_data.xlsx

description: <b>HIV Prevalence and Behavioral Risk Factors in the Sudan People’s Liberation Army: data from South Sudan</b>
DOI: 10.7910/dvn/v1rjpf/prawnt
title: mea20171020_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3833112.v1
title: HIV_SPLA_data.xlsx

description: <b>HIV Prevalence and Behavioral Risk Factors in the Sudan People’s Liberation Army: data from South Sudan</b>
DOI: 10.6084/m9.figshare.3833100
title: Map of Vegetated Wetlands in Alaska based on ALOS PALSAR data

description: A map of vegetated wetlands in Alaska generated by applying an automated classification routine to ALOS PALSAR data from 2007 and ancillary layers.<br>The method used to generate the map and associated accuracy is described in the following, open access, publication:<br> Clewley, Daniel; Whitcomb, Jane; Moghaddam, Mahta; McDonald, Kyle; Chapman, Bruce; Bunting, Peter. 2015. "Evaluation of ALOS PALSAR Data for High-Resolution Mapping of Vegetated Wetlands in Alaska." <em>Remote Sens.</em> 7, no. 6: 7272-7297. <br>The data is a raster in KEA format (http://kealib.org/) with class names stored as a Raster Attribute Table, this is the version used in the paper. There is also a GeoTiff version with the class names available in the CSV 'WetlandCodes.csv'. A high resolution of the map (figure 4 from paper) is also provided.<br>
DOI: 10.7910/dvn/v1rjpf/jbdgwb
title: mea20170127_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/aulavy
title: mea20171205_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/sddxzw
title: mea20170325_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/4dlsrt
title: mea20170522_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3833100.v1
title: Map of Vegetated Wetlands in Alaska based on ALOS PALSAR data (2007)

description: A map of vegetated wetlands in Alaska generated by applying an automated classification routine to ALOS PALSAR data from 2007 and ancillary layers.<br>The method used to generate the map and associated accuracy is described in the following, open access, publication:<br> Clewley, Daniel; Whitcomb, Jane; Moghaddam, Mahta; McDonald, Kyle; Chapman, Bruce; Bunting, Peter. 2015. "Evaluation of ALOS PALSAR Data for High-Resolution Mapping of Vegetated Wetlands in Alaska." <em>Remote Sens.</em> 7, no. 6: 7272-7297. <br>The data is a raster in KEA format (http://kealib.org/) with associated map (figure 4 from paper).<br>
DOI: 10.6084/m9.figshare.3833100.v3
title: Map of Vegetated Wetlands in Alaska based on ALOS PALSAR data

description: A map of vegetated wetlands in Alaska generated by applying an automated classification routine to ALOS PALSAR data from 2007 and ancillary layers.<br>The method used to generate the map and associated accuracy is described in the following, open access, publication:<br> Clewley, Daniel; Whitcomb, Jane; Moghaddam, Mahta; McDonald, Kyle; Chapman, Bruce; Bunting, Peter. 2015. "Evaluation of ALOS PALSAR Data for High-Resolution Mapping of Vegetated Wetlands in Alaska." <em>Remote Sens.</em> 7, no. 6: 7272-7297. <br>The data is a raster in KEA format (http://kealib.org/) with class names stored as a Raster Attribute Table, this is the version used in the paper. There is also a GeoTiff version with the class names available in the CSV 'WetlandCodes.csv'. A high resolution of the map (figure 4 from paper) is also provided.<br>
DOI: 10.7910/dvn/v1rjpf/xflvro
title: mea20170622_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/umoslw
title: mea20170407_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3833100.v2
title: Map of Vegetated Wetlands in Alaska based on ALOS PALSAR data

description: A map of vegetated wetlands in Alaska generated by applying an automated classification routine to ALOS PALSAR data from 2007 and ancillary layers.<br>The method used to generate the map and associated accuracy is described in the following, open access, publication:<br> Clewley, Daniel; Whitcomb, Jane; Moghaddam, Mahta; McDonald, Kyle; Chapman, Bruce; Bunting, Peter. 2015. "Evaluation of ALOS PALSAR Data for High-Resolution Mapping of Vegetated Wetlands in Alaska." <em>Remote Sens.</em> 7, no. 6: 7272-7297. <br>The data is a raster in KEA format (http://kealib.org/) with associated map (figure 4 from paper).<br>
DOI: 10.6084/m9.figshare.3833094
title: Introduction to Ecology, A Study on Hair Colour and Gender.

description: Methods- In the classroom, a set of data was collected to see the groups hair colour and gender. A verbal survey was conducted and the subject self identified their hair colour and gender. The study was done in the lab at Lumbers Building at York University in Toronto, Ontario, Canada. To collect the data, excel software was used. The data was collected on September 15th, 2016.<br>Hypothesis- <br>Predictions- From the 24 people in the lab, most would have black hair. <br>Group Members: Keerthana Bala, Matthew Chiang, Andrew Nguyen, and Kobina Vijay
DOI: 10.7910/dvn/v1rjpf/xqyvub
title: mea20170207_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3833094.v1
title: Introduction to Ecology, A Study on Hair Colour and Gender.

description: Methods- In the classroom, a set of data was collected to see the groups hair colour and gender. A verbal survey was conducted and the subject self identified their hair colour and gender. The study was done in the lab at Lumbers Building at York University in Toronto, Ontario, Canada. To collect the data, excel software was used. The data was collected on September 15th, 2016.<br>Hypothesis- <br>Predictions- From the 24 people in the lab, most would have black hair. <br>Group Members: Keerthana Bala, Matthew Chiang, Andrew Nguyen, and Kobina Vijay
DOI: 10.6084/m9.figshare.3833079
title: Relationship between hair Colour and Gender

description: Methods: Participants from York University Ecology laboratory were used in the study. The experimenter collected the gender and hair colour of each participant via self-report. A gender binary of male and female was used. Hair colour was categorized as black, red, blonde, and brown.<br>Hypothesis: There will be a higher frequency of males with dark hair colours in the general population than females with dark hair colour. Evolutionary, the males who survived were those who were stronger and dominant, who could collect more resources. Males with darker hair colour were viewed as more attractive to females because it reflected their ability to acquire resources.<br>Predictions: I predict that in the laboratory the number of males with a dark hair colour will outnumber the number of females with a dark hair colour.<br><br>
DOI: 10.7910/dvn/v1rjpf/hhpyd5
title: mea20170316_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/onjx11
title: mea20170529_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3833064
title: Introduction to Ecology; A Study on Hair Color and Gender

description: Methods: In order to assess the relationship between hair color and gender, 22 human subjects were surveyed<br>Study site: Lumbers Building 118. Lab Benches. Well air-conditioned room. Data was collected verbally, with individuals represented by a spokesperson for their laboratory group.<br>Hypothesis: Subjects who identified as males are more likely to have darker hair as a means of maintaining a warm scalp.<br>Predictions1) Subjects who identified as female are more likely to have a wider range of hair color2) Subjects who are female are more likely to have red hair3) Subjects who are female are more likely to have non-biological hair colors.<br>Group Members: Andrew Nguyen, Kobina Vijay, Keethana Bala, Abesan Balakumar<br>
DOI: 10.7910/dvn/v1rjpf/80ldwi
title: mea20170501_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3833058
title: Potential Correlation Between Hair Color and Gender.csv

description: Method: In order to assess the relationship between hair color and gender, a verbal study was conducted among 24 human subjects who self identified their hair color and gender<br>study site: In a York University Keele Campus classroom<br>Hypothesis: There isn't any correlation between hair color and gender<br>Predictions supprt or reject hypothesis1. There will not be any correlation between hair color and gender may be because genes that correspond to hair color and gender do not correlate.<br><br>group members:Brenda Espin,Shunelle Prasad
DOI: 10.7910/dvn/v1rjpf/5egdsc
title: mea20171026_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/yyeeyf
title: mea20170923_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3833055
title: A study on insect and invertebrate abundance and diversity ina York University woodlot

description: Methods: To assess the abundance and diversity of insects in the Saywell woodlot at York University quadrats (n=25) were placed randomly on the ground and the surveyor counted the total number of individual insects and invertebrate species within each quadrat. Insects that entered into the ground and air space of the quadrat within a period of 20 seconds were included in the counts. Recognizable taxonomic units (RTU) were determined via surveyors’ discretion, where the surveyor determined RTU by visual inspection. Study site: The study took place outdoors in the Saywell woodlot at York University property (at approximately 43.7769 N, 79.4966 W). Data was collected on Sept. 29, 2016 from 2:55pm to approximately 3:40pm. The temperature was 16°C and the weather was overcast with periodic drizzling. Wind speed was approximately 25 km/h. Hypothesis: The woodlot has more ground insects than flying insects due to the availability of food resources on the ground. Predictions: 1) Ants are the most abundant species in the woodlot, since they commonly use wood sources to build shelters. 2) Due to the size of the woodlot, there will be a small average number (less than five) of RTUs. 3) There will be a low abundance of species observed due to the inclement weather and low temperature. Metadata description: Sample Number – number assigned to each quadrat Abundance – number of total insects and invertebrates observed within the quadrat during the observation time. Recognizable taxonomic units (RTU) – number of distinct species observed by the surveyor within the quadrat Comments – Breakdown of the RTU, including counts of total number for each individual species.
DOI: 10.7910/dvn/v1rjpf/scf3cc
title: mea20170411_03.txt.gz

description: :unav