cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0938438.09fu
title: SH0938438.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0938439.09fu
title: SH0938439.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0938440.09fu
title: SH0938440.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0938441.09fu
title: SH0938441.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0938442.09fu
title: SH0938442.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0938443.09fu
title: SH0938443.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.6084/m9.figshare.1221232.v2
title: NYPD Stop & Frisk

description: In summation, I propose changing NYPD's operating protocols, conforming to both the law & NYPD's Patrol Guide. I suggest transmitting, on a daily basis, locations, which are prone o violent street crimes, especially Robbery. Additionally, patrol Police Officers could ask communications division to re broadcast the wanted perpetrator's description. This would ensure transparency & allow the person(s) stopped to see that the stop was both legal and not capricious.
DOI: 10.6084/m9.figshare.1221233.v2
title: NYPD Stop & Frisk

description: In summation, I propose changing NYPD's operating protocols, conforming to both the law & NYPD's Patrol Guide. I suggest transmitting, on a daily basis, locations, which are prone o violent street crimes, especially Robbery. Additionally, patrol Police Officers could ask communications division to re broadcast the wanted perpetrator's description. This would ensure transparency & allow the person(s) stopped to see that the stop was both legal and not capricious.
DOI: 10.6084/m9.figshare.1221232.v1
title: NYPD

description: In summation, I propose changing NYPD's operating protocols, conforming to both the law & NYPD's Patrol Guide. I suggest transmitting, on a daily basis, locations, which are prone o violent street crimes, especially Robbery. Additionally, patrol Police Officers could ask communications division to re broadcast the wanted perpetrator's description. This would ensure transparency & allow the person(s) stopped to see that the stop was both legal and not capricious.
DOI: 10.6084/m9.figshare.1221224
title: Chilean sea bass mercury data

description: These data were used to create figures 2 and 3 in Marko et al. 2014. PLOS ONE e104140.
DOI: 10.6084/m9.figshare.1221233.v1
title: NYPD

description: In summation, I propose changing NYPD's operating protocols, conforming to both the law & NYPD's Patrol Guide. I suggest transmitting, on a daily basis, locations, which are prone o violent street crimes, especially Robbery. Additionally, patrol Police Officers could ask communications division to re broadcast the wanted perpetrator's description. This would ensure transparency & allow the person(s) stopped to see that the stop was both legal and not capricious.
DOI: 10.6084/m9.figshare.1221224.v2
title: Chilean sea bass mercury data

description: These data were used to create figures 2 and 3 in Marko et al. 2014. PLOS ONE e104140.
DOI: 10.6084/m9.figshare.1221198
title: US crime rate over time

description: data culled from http://www.disastercenter.com/crime/uscrime.htm accessed October 28 2014. These are rate per 100,000 people, so not technically per capita, but the trend lines will be identical in a strict per capita calculation (the scale for the y axis merely changes)
DOI: 10.6084/m9.figshare.1221224.v1
title: Chilean sea bass mercury data

description: These data were used to create figures 2 and 3 in Marko et al. 2014. PLOS ONE e104140.
DOI: 10.6084/m9.figshare.1221197
title: The Influence of Abiotic Factors on Insect Abundance

description: The influence of temperature, vegetation, environment, and pan colour on the abundance and variation of insects were investigated during a two day observation, at York University’s Keele Campus. On day one, the temperature during the collection of observations was noted by checking The Weather Network at the time of study. Three different environments were investigated for insect abundance – disturbed area, grassland, and woodlot. Starting off in the disturbed area, a transect tape was pulled to 45 metres, and a sample size of 15 pans was placed along this straight path. Five yellow pans, five blue pans, and five white pans were alternatively placed along this 45 metre path. Each pan was filled three quarters of the way up with soapy water, and left alone for a total of two hours. During these two hours, the researcher observed the amount of vegetation present in this environment. Vegetation included anything from trees, plants, flowers, weeds, bushes or grass. A scale was constructed to determine vegetation crowding. The number 0 indicated that it was free of vegetation, 1 indicated that it was fairly crowded, and 2 indicated that there was an abundance of vegetation present in the particular location. The vegetation to be considered had to be within 50 cm of the transect tape, that was lined with 15 pans. After the two hour duration was complete, the researcher returned back to the pans on the transect and recorded the pan colour, abundance of insects, recognizable taxonomic units, vegetation crowding and species of insects present in all fifteen pans. This exact procedure was then carried out in both the grassland and woodlot. A week later, this same procedure was precisely carried out in the same locations – disturbed, grassland, and woodlot and the temperature of that day was recorded according to The Weather Network. The criteria for vegetation remained the same, and the abundance of insects, recognizable taxonomic units, and species of insects present was noted. The transect tape was pulled to a distance of 45 metres once again, and a sample size of 15 pans (5 of each colour) was used, placed 3 metres apart.
DOI: 10.6084/m9.figshare.1220392
title: Descriptive Metadata for the MPI EMBM Database

description: The .csv file comprises the metadata that describes the motion capture files that are included into the MPI Emotional Body Motion Database. An interactive version of this file, with filter, search and sort functions can be found here: http://ebmdb.tuebingen.mpg.de
DOI: 10.6084/m9.figshare.1220392.v1
title: Descriptive Metadata for the MPI EMBM Database

description: The .csv file comprises the metadata that describes the motion capture files that are included into the MPI Emotional Body Motion Database. An interactive version of this file, with filter, search and sort functions can be found here: http://ebmdb.tuebingen.mpg.de
DOI: 10.6084/m9.figshare.1220527
title: Experimental design: field experiment

description: The experiment was conducted in a woodlot located at the Keele campus of York University in Toronto, Ontario. It was conducted on the 15th and 22nd of October 2014 between 2:45pm and 4:30pm and the weather was cloudy with light precipitation. The only equipment required for the complete execution of the experiment was two 25m transect tapes and the chosen tree sample was a sugar maple tree (Acer Saccharum).First randomly place the 25m transect measuring tape from the edge of the woodlot (defined as the first tree you encounter as you enter the woodlot) to the centre, then at every instance we encounter an adult tree (defined as a tree twice the height of the students conducting the experiment) along the transect tape on both sides, various measurements were taken. First the distance on the transect tape where each sample maple tree was found was recorded then the dbh of the sample maple tree was also obtained using the second 25m transect tape. The distances from the maple tree to the three closest adult trees were obtained and recorded then the arithmetic mean of those distances was used to estimate the density of that specific maple tree. This was repeated for a total sample size of 30 transects.
DOI: 10.6084/m9.figshare.1221197.v1
title: The Influence of Abiotic Factors on Insect Abundance

description: The influence of temperature, vegetation, environment, and pan colour on the abundance and variation of insects were investigated during a two day observation, at York University’s Keele Campus. On day one, the temperature during the collection of observations was noted by checking The Weather Network at the time of study. Three different environments were investigated for insect abundance – disturbed area, grassland, and woodlot. Starting off in the disturbed area, a transect tape was pulled to 45 metres, and a sample size of 15 pans was placed along this straight path. Five yellow pans, five blue pans, and five white pans were alternatively placed along this 45 metre path. Each pan was filled three quarters of the way up with soapy water, and left alone for a total of two hours. During these two hours, the researcher observed the amount of vegetation present in this environment. Vegetation included anything from trees, plants, flowers, weeds, bushes or grass. A scale was constructed to determine vegetation crowding. The number 0 indicated that it was free of vegetation, 1 indicated that it was fairly crowded, and 2 indicated that there was an abundance of vegetation present in the particular location. The vegetation to be considered had to be within 50 cm of the transect tape, that was lined with 15 pans. After the two hour duration was complete, the researcher returned back to the pans on the transect and recorded the pan colour, abundance of insects, recognizable taxonomic units, vegetation crowding and species of insects present in all fifteen pans. This exact procedure was then carried out in both the grassland and woodlot. A week later, this same procedure was precisely carried out in the same locations – disturbed, grassland, and woodlot and the temperature of that day was recorded according to The Weather Network. The criteria for vegetation remained the same, and the abundance of insects, recognizable taxonomic units, and species of insects present was noted. The transect tape was pulled to a distance of 45 metres once again, and a sample size of 15 pans (5 of each colour) was used, placed 3 metres apart.
DOI: 10.6084/m9.figshare.1219461
title: Data and Scripts for Gray et al 2014 Journal of Applied Ecology

description: Data and scripts used in Gray et al 2014 Journal of Applied Ecology paper
DOI: 10.6084/m9.figshare.1220428
title: MPI EMBM Database Mocap Files

description: The archive contains over 1440 motion capture files in the .bvh format. The full interactive database with the same motion capture files in the .mvnx format together with the descriptibe metadata and the usage instructions can be found here: http://ebmdb.tuebingen.mpg.de
DOI: 10.6084/m9.figshare.1219461.v1
title: Data and Scripts for Gray et al 2014 Journal of Applied Ecology

description: Data and scripts used in Gray et al 2014 Journal of Applied Ecology paper
DOI: 10.6084/m9.figshare.1220527.v1
title: Experimental design: field experiment

description: The experiment was conducted in a woodlot located at the Keele campus of York University in Toronto, Ontario. It was conducted on the 15th and 22nd of October 2014 between 2:45pm and 4:30pm and the weather was cloudy with light precipitation. The only equipment required for the complete execution of the experiment was two 25m transect tapes and the chosen tree sample was a sugar maple tree (Acer Saccharum).First randomly place the 25m transect measuring tape from the edge of the woodlot (defined as the first tree you encounter as you enter the woodlot) to the centre, then at every instance we encounter an adult tree (defined as a tree twice the height of the students conducting the experiment) along the transect tape on both sides, various measurements were taken. First the distance on the transect tape where each sample maple tree was found was recorded then the dbh of the sample maple tree was also obtained using the second 25m transect tape. The distances from the maple tree to the three closest adult trees were obtained and recorded then the arithmetic mean of those distances was used to estimate the density of that specific maple tree. This was repeated for a total sample size of 30 transects.
DOI: 10.6084/m9.figshare.1219431
title: GPS data (.gpx) for litter survey 9/07/14: Snowdon Litter Pick Workday

description: Locations of litter found during a litter-pick during the Snowdon Litter Pick Workday in Snowdonia, on 9th July 2014. These data have been provided by the Snowdonia Society to illustrate the amount and locations of littering along walking routes within the National Park.
DOI: 10.6084/m9.figshare.1219433
title: GPS data (.gpx) for litter survey 4/9/14: Snowdon Real 3 Peaks Challenge Litter Pick

description: Locations of litter found during a litter-pick during the Snowdon Real 3 Peaks Challenge Litter Pick in Snowdonia, on 4th September 2014. These data have been provided by the Snowdonia Society to illustrate the amount and locations of littering along walking routes within the National Park.
DOI: 10.6084/m9.figshare.1219385
title: Integration of Information and Communication Technologies (ICTs) in Teacher Education Programs in Pakistan

description: The research was funded and supervised by USAID teacher Education project for Pakistan. It was the first time that the Government of Pakistan realized the importance of ICTs and reflected its integration in teacher education programs as policy matter in the National Education Policy 2009. The course “ICTs in Education” was implemented for ADE/B. Ed (E) classes in 2010-11 for the first time. In this situation, it was vital to explore how successfully this course was implemented and ICTs were integrated in the pioneer institutions, so as to have baseline information for further improvement in the implementation process.
DOI: 10.6084/m9.figshare.1219433.v2
title: GPS data (.gpx) for litter survey 4/9/14: Snowdon Real 3 Peaks Challenge Litter Pick

description: Locations of litter found during a litter-pick during the Snowdon Real 3 Peaks Challenge Litter Pick in Snowdonia, on 4th September 2014. These data have been provided by the Snowdonia Society to illustrate the amount and locations of littering along walking routes within the National Park.
DOI: 10.6084/m9.figshare.1219431.v1
title: GPS data for litter survey 4/9/14: Snowdon Real 3 Peaks Challenge Litter Pick

description: Locations of litter found during a litter-pick during the 3 Peaks Challenge in Snowdonia, on 4th September 2014. These data have been provided by the Snowdonia Society to illustrate the amount and locations of littering along walking routes within the National Park.
DOI: 10.6084/m9.figshare.1219433.v1
title: GPS data (.gpx) 4/9/14: Snowdon Real 3 Peaks Challenge Litter Pick

description: Locations of litter found during a litter-pick during the Snowdon Real 3 Peaks Challenge Litter Pick in Snowdonia, on 4th September 2014. These data have been provided by the Snowdonia Society to illustrate the amount and locations of littering along walking routes within the National Park.
DOI: 10.6084/m9.figshare.1219431.v2
title: GPS data (.gpx) for litter survey 4/9/14: Snowdon Real 3 Peaks Challenge Litter Pick

description: Locations of litter found during a litter-pick during the 3 Peaks Challenge in Snowdonia, on 4th September 2014. These data have been provided by the Snowdonia Society to illustrate the amount and locations of littering along walking routes within the National Park.
DOI: 10.6084/m9.figshare.1219385.v1
title: Integration of Information and Communication Technologies (ICTs) in Teacher Education Programs in Pakistan

description: The research was funded and supervised by USAID teacher Education project for Pakistan. This research was aimed to investigate ‘what accounts more for ICTs implementation and integration’ in teacher training programs in the Khyber Pakthunkhwa and Punjab provinces in Pakistan. It was the first time that the Government of Pakistan realized the importance of ICTs and reflected its integration in teacher education programs as policy matter in the National Education Policy 2009. The course “ICTs in Education” was implemented for ADE/B. Ed (E) classes in 2010-11 for the first time. In this situation, it was vital to explore how successfully this course was implemented and ICTs were integrated in the pioneer institutions, so as to have baseline information for further improvement in the implementation process.
DOI: 10.6084/m9.figshare.1219385.v3
title: Integration of Information and Communication Technologies (ICTs) in Teacher Education Programs in Pakistan

description: The research was funded and supervised by USAID teacher Education project for Pakistan. It was the first time that the Government of Pakistan realized the importance of ICTs and reflected its integration in teacher education programs as policy matter in the National Education Policy 2009. The course “ICTs in Education” was implemented for ADE/B. Ed (E) classes in 2010-11 for the first time. In this situation, it was vital to explore how successfully this course was implemented and ICTs were integrated in the pioneer institutions, so as to have baseline information for further improvement in the implementation process.