cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh2834245.08fu
title: SH2834245.08FU

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/sh2834246.08fu
title: SH2834246.08FU

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/sh1857181.08fu
title: SH1857181.08FU

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/sh1857182.08fu
title: SH1857182.08FU

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/sh1857183.08fu
title: SH1857183.08FU

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/sh2834247.08fu
title: SH2834247.08FU

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/sh2834248.08fu
title: SH2834248.08FU

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/sh2834249.08fu
title: SH2834249.08FU

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/sh1857184.08fu
title: SH1857184.08FU

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/sh1857185.08fu
title: SH1857185.08FU

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.25202909
title: Data for e-filing tax system

description: The study examines the impact of tax system quality factors on taxpayers' usage of the e-filing tax system. Additionally, it explores the relationship between e-filing usage and the tax compliance burden.
DOI: 10.6084/m9.figshare.25202909.v1
title: Data for e-filing tax system

description: The study examines the impact of tax system quality factors on taxpayers' usage of the e-filing tax system. Additionally, it explores the relationship between e-filing usage and the tax compliance burden.
DOI: 10.5281/zenodo.10160308
title: Validation and Benchmark Dataset for Discrete Element Method Simulations

description: Verification and Benchmark Dataset for Discrete Element Method Simulationsv3 (05/02/2024)Authors: Jose Salomon, Fernando Patino-Ramirez, Catherine O'Sullivanhttps://doi.org/10.5281/zenodo.10160309Contact: jjs19@ic.ac.uk--------------------------------------------------------------------Description of the repository:

This repository contains a collection of datafiles and scripts that can be employed to validate and benchmark new or existing DEM codes. Two validation cases/folders are considered "FCC_packing" and "Rolling_clump". The benchmark dataset is provided in the "Toyoura_sh" folder.All datafiles and scripts are in the corresponding *.zip files. A detailed description of all cases can be found in the related article.

In each of these folders, two sub-folders can be found: (1)"Data" and (2)"Scripts". These folders contain:

1)"Data": contains the datafiles to perform the validation or benchmark. Two types of data/folders can be found here: "Raw" and "Filtered".The "Raw" folder contains raw data only. The "Filtered" data contains the post-processed data employed to generate the plots found in the related article.Plots in the related article can be reproduced by using the MATLAB files found in the corresponding data folder.

2)"Scripts": contains the LAMMPS scripts used to generate the data files contained in "Data".Indications about how to run these scripts can be found in the "README.txt" file in each folder.

In order to reproduce the simulations of this repository, LAMMPS must be built including the "GRANULAR" and "RIGID" packages. Please check the README.txt files in each folder for details.
DOI: 10.5281/zenodo.10160309
title: Verification Dataset for Discrete Element Method Simulations

description: ####################################################################
Verification Dataset for Discrete Element Method Simulations
v1.0 (20/11/2023)
Authors: Jose Salomon, Fernando Patino-Ramirez, Catherine O'Sullivan
Contact: jjs19@ic.ac.uk
####################################################################
Description:
This repository contains a collection of datafiles that can be employed to benchmark new or existing DEM codes.
Two verification cases/folders are considered: "FCC_packing" and "Rolling_clump". Both are contained in the corresponding *.zip files.
A detailed description of both cases can be found in the related journal article.
DOI: 10.5281/zenodo.10263749
title: Validation and Benchmark Dataset for Discrete Element Method Simulations

description: Verification and Benchmark Dataset for Discrete Element Method Simulations
v1.1 (29/11/2023)
Authors: Jose Salomon, Fernando Patino-Ramirez, Catherine O'Sullivan
https://doi.org/10.5281/zenodo.10160309
Contact: jjs19@ic.ac.uk
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Description of the repository:
 
This repository contains a collection of datafiles and scripts that can be employed to validate and benchmark new or existing DEM codes.
Two validation cases/folders are considered "FCC_packing" and "Rolling_clump". The benchmark dataset is provided in the "Toyoura_sh" folder.
All datafiles and scripts are in the corresponding *.zip files. A detailed description of all cases can be found in the related article.
 
In each of these folders, two sub-folders can be found: (1)"Data" and (2)"Scripts". These folders contain:
 
1)"Data": contains the datafiles to perform the validation or benchmark. Two types of data/folders can be found here: "Raw" and "Filtered".
The "Raw" folder contains raw data only. The "Filtered" data contains the post-processed data employed to generate the plots found in the related article.
Plots in the related article can be reproduced by using the MATLAB files found in the corresponding data folder.
 
2)"Scripts": contains the LAMMPS scripts used to generate the data files contained in "Data".
Indications about how to run these scripts can be found in the "README.txt" file in each folder.
DOI: 10.5281/zenodo.10411062
title: Validation and Benchmark Dataset for Discrete Element Method Simulations

description: Verification and Benchmark Dataset for Discrete Element Method Simulationsv3 (05/02/2024)Authors: Jose Salomon, Fernando Patino-Ramirez, Catherine O'Sullivanhttps://doi.org/10.5281/zenodo.10160309Contact: jjs19@ic.ac.uk--------------------------------------------------------------------Description of the repository:

This repository contains a collection of datafiles and scripts that can be employed to validate and benchmark new or existing DEM codes. Two validation cases/folders are considered "FCC_packing" and "Rolling_clump". The benchmark dataset is provided in the "Toyoura_sh" folder.All datafiles and scripts are in the corresponding *.zip files. A detailed description of all cases can be found in the related article.

In each of these folders, two sub-folders can be found: (1)"Data" and (2)"Scripts". These folders contain:

1)"Data": contains the datafiles to perform the validation or benchmark. Two types of data/folders can be found here: "Raw" and "Filtered".The "Raw" folder contains raw data only. The "Filtered" data contains the post-processed data employed to generate the plots found in the related article.Plots in the related article can be reproduced by using the MATLAB files found in the corresponding data folder.

2)"Scripts": contains the LAMMPS scripts used to generate the data files contained in "Data".Indications about how to run these scripts can be found in the "README.txt" file in each folder.

In order to reproduce the simulations of this repository, LAMMPS must be built including the "GRANULAR" and "RIGID" packages. Please check the README.txt files in each folder for details.
DOI: 10.18112/openneuro.ds004959.v1.0.0
title: Probing hippocampal stimulation in experimental temporal lobe epilepsy with functional MRI
DOI: 10.34740/kaggle/dsv/7607590
title: Balochi Language to English Translation Dataset
DOI: 10.5281/zenodo.10647750
title: Replica data and results of paper "Linguistic Immersion and Labour Market Performance of Migrants" (Martín, Requena, Serrano)

description: ********************************************************************************************************** THIS FILE DESCRIBES THE STRUCTURE OF DO FILE FOR REPLICATION *********** Linguistic Immersion and Labour Market Performance of Migrants *************************    Joan Martín, Francisco Requena, Guadalupe Serrano *****************************************************  February 07 2024  ********************************************************
DOI: 10.5281/zenodo.10647751
title: Replica data and results of paper "Linguistic Immersion and Labour Market Performance of Migrants" (Martín, Requena, Serrano)

description: ********************************************************************************************************** THIS FILE DESCRIBES THE STRUCTURE OF DO FILE FOR REPLICATION *********** Linguistic Immersion and Labour Market Performance of Migrants *************************    Joan Martín, Francisco Requena, Guadalupe Serrano *****************************************************  February 07 2024  ********************************************************
DOI: 10.5281/zenodo.10647757
title: Review of WorldFAIR Agricultural Plant-Pollinator Data Pilot: Bergamo P. 2010 Dados provenientes de estudos realizados no brasil sobre sistema reprodutivo e polinização/polinizadores de cultivares; manejo de polinizadores; doenças e agrotóxicos em polinizadores; paisagem, mudanças climáticas e conservação no contexto da polinização; e artigos de revisão

description: Abstract

Life on Earth is sustained by complex interactions between organisms and their environment. These biotic interactions can be captured in datasets and published digitally. We describe a review process of such an openly accessible digital interactions dataset of known origin, and discuss their outcome. The dataset under review (aka globalbioticinteractions/bergamo2020) has size  987KiB and contains 1373 interactions with 1 unique types of associations (e.g., flowersVisitedBy) between 87 primary taxa (e.g., Mauritia flexuosa) and 650 associated taxa (e.g., Apis mellifera). The report includes detailed summaries of interactions data as well as a taxonomic review from multiple perspectives.

Please note that the pilot contributors have opted to shared their review and metadata only. This means that data appendices in the data review are not openly available. 




filename
description


index.pdf
data review report as pdf


index.docx
data review report as docx


index.md
data review report as markdown


index.html
data review report as html


eml.xml
ecological metadata file


eml.html
ecological metadata file as html page
description: WorldFAIR has received funding from the European Commission’s WIDERA coordination and support programme under the Grant Agreement no. 101058393. The content of this document does not represent the opinion of the European Commission, and the European Commission is not responsible for any use that might be made of such content.
DOI: 10.5281/zenodo.10647758
title: Review of WorldFAIR Agricultural Plant-Pollinator Data Pilot: Bergamo P. 2010 Dados provenientes de estudos realizados no brasil sobre sistema reprodutivo e polinização/polinizadores de cultivares; manejo de polinizadores; doenças e agrotóxicos em polinizadores; paisagem, mudanças climáticas e conservação no contexto da polinização; e artigos de revisão

description: Abstract

Life on Earth is sustained by complex interactions between organisms and their environment. These biotic interactions can be captured in datasets and published digitally. We describe a review process of such an openly accessible digital interactions dataset of known origin, and discuss their outcome. The dataset under review (aka globalbioticinteractions/bergamo2020) has size  987KiB and contains 1373 interactions with 1 unique types of associations (e.g., flowersVisitedBy) between 87 primary taxa (e.g., Mauritia flexuosa) and 650 associated taxa (e.g., Apis mellifera). The report includes detailed summaries of interactions data as well as a taxonomic review from multiple perspectives.

Please note that the pilot contributors have opted to shared their review and metadata only. This means that data appendices in the data review are not openly available. 




filename
description


index.pdf
data review report as pdf


index.docx
data review report as docx


index.md
data review report as markdown


index.html
data review report as html


eml.xml
ecological metadata file


eml.html
ecological metadata file as html page
description: WorldFAIR has received funding from the European Commission’s WIDERA coordination and support programme under the Grant Agreement no. 101058393. The content of this document does not represent the opinion of the European Commission, and the European Commission is not responsible for any use that might be made of such content.
DOI: 10.34740/kaggle/dsv/7607638
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.34740/kaggle/dsv/7607644
title: Top Spotify Songs in 73 Countries (Daily Updated)
DOI: 10.5281/zenodo.10647738
title: Economic and enviromental analysis data for the article 'Vinyl chloride synthesis via selective oxidative coupling of methyl chloride'
DOI: 10.5281/zenodo.10647739
title: Economic and enviromental analysis data for the article 'Vinyl chloride synthesis via selective oxidative coupling of methyl chloride'
DOI: 10.34740/kaggle/dsv/7607659
title: Trending Youtube Video Statistics (113 Countries)