cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1733574.08fu
title: SH1733574.08FU

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/sh1733575.08fu
title: SH1733575.08FU

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/sh368454.07fu
title: SH368454.07FU

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/sh368455.07fu
title: SH368455.07FU

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/sh1733576.08fu
title: SH1733576.08FU

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/sh1733577.08fu
title: SH1733577.08FU

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/sh368456.07fu
title: SH368456.07FU

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/sh368457.07fu
title: SH368457.07FU

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/sh368458.07fu
title: SH368458.07FU

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/sh1733578.08fu
title: SH1733578.08FU

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.21751466
title: minimal data set of PONE-D-22-28713.zip

description: This package contains the minimal data set of PONE-D-22-28713
DOI: 10.25318/9810049201-eng
title: Place of work status by industry sector, work activity during the reference year, age and gender: Census metropolitan areas, tracted census agglomerations and census tracts of work

description: Data on place of work status by industry sectors (2-digit code) from the North American Industry Classification System (NAICS) 2017, work activity during the reference year, age and gender for census metropolitan areas, tracted census agglomerations and census tracts of work.
DOI: 10.25318/9810049201-fra
title: Catégorie du lieu de travail selon les secteurs d'industries, le travail pendant l'année de référence, l'âge et le genre : Régions métropolitaines de recensement, agglomérations de recensement subdivisées en secteurs de recensement et secteurs de recensement du lieu de travail

description: Données sur la catégorie du lieu de travail selon les secteurs d'industries (code à 2 chiffres) du Système de classification des industries de l’Amérique du Nord (SCIAN) de 2017, le travail pendant l'année de référence, l'âge et le genre pour les régions métropolitaines de recensement, les agglomérations de recensement subdivisées en secteurs de recensement et les secteurs de recensement du lieu de travail.
DOI: 10.25318/9810046301-eng
title: Main mode of commuting by employment income groups, age and gender: Canada, provinces and territories, census metropolitan areas and census agglomerations with parts

description: Data on the main mode of commuting by employment income groups, age and gender.
DOI: 10.25318/9810046301-fra
title: Principal mode de transport pour la navette selon les tranches de revenu d'emploi, l'âge et le genre : Canada, provinces et territoires, régions métropolitaines de recensement et agglomérations de recensement y compris les parties

description: Données sur le principal mode de transport pour la navette selon les tranches de revenu d'emploi, l'âge et le genre.
DOI: 10.25318/9810046401-eng
title: Main mode of commuting by industry sectors, occupation broad category and gender: Canada, provinces and territories, census divisions and census subdivisions

description: Data on the main mode of commuting by industry sectors (2-digit code) from the North American Industry Classification System (NAICS) 2017, occupation broad category (1-digit code) from the National Occupational Classification (NOC) 2021 and gender.
DOI: 10.25318/9810046401-fra
title: Principal mode de transport pour la navette selon les secteurs d'industries, la grande catégorie des professions et le genre : Canada, provinces et territoires, divisions de recensement et subdivisions de recensement

description: Données sur le principal mode de transport pour la navette selon les secteurs d'industries (code à 2 chiffres) du Système de classification des industries de l’Amérique du Nord (SCIAN) de 2017, la grande catégorie des professions (code à 1 chiffre) de la Classification nationale des professions (CNP) de 2021 et le genre.
DOI: 10.5281/zenodo.7458647
title: Tools Predictor

description: This is for testing
DOI: 10.5281/zenodo.7458648
title: Tools Predictor

description: This is for testing
DOI: 10.25318/9810049101-eng
title: Place of work status by industry sector, work activity during the reference year, age and gender: Canada, provinces and territories, census divisions and census subdivisions of work

description: Data on place of work status by industry sectors (2-digit code) from the North American Industry Classification System (NAICS) 2017, work activity during the reference year, age and gender for Canada, provinces and territories, census divisions and census subdivisions of work.
DOI: 10.25318/9810049101-fra
title: Catégorie du lieu de travail selon les secteurs d'industries, le travail pendant l'année de référence, l'âge et le genre : Canada, provinces et territoires, divisions de recensement et subdivisions de recensement du lieu de travail

description: Données sur la catégorie du lieu de travail selon les secteurs d'industries (code à 2 chiffres) du Système de classification des industries de l’Amérique du Nord (SCIAN) de 2017, le travail pendant l'année de référence, l'âge et le genre pour le Canada, les provinces et territoires, les divisions de recensement et les subdivisions de recensement du lieu de travail.
DOI: 10.25318/9810046501-eng
title: Main mode of commuting by commuting duration, time leaving for work, industry sectors, occupation broad category and gender: Canada, provinces and territories, census metropolitan areas and census agglomerations with parts

description: Data on the main mode of commuting by commuting duration, time leaving for work, industry sectors (2-digit code) from the North American Industry Classification System (NAICS) 2017, occupation broad category (1-digit code) from the National Occupational Classification (NOC) 2021 and gender.
DOI: 10.25318/9810046501-fra
title: Principal mode de transport pour la navette selon la durée du navettage, l'heure de départ pour le travail, les secteurs d'industries, la grande catégorie des professions et le genre : Canada, provinces et territoires, régions métropolitaines de recensement et agglomérations de recensement y compris les parties

description: Données sur le principal mode de transport pour la navette selon la durée du navettage, l'heure de départ pour le travail, les secteurs d'industries (code à 2 chiffres) du Système de classification des industries de l’Amérique du Nord (SCIAN) de 2017, la grande catégorie des professions (code à 1 chiffre) de la Classification nationale des professions (CNP) de 2021 et le genre.
DOI: 10.25318/9810047601-eng
title: Employment income groups by place of work status: Census metropolitan areas, tracted census agglomerations and census tracts

description: Data on distribution of employment income by place of work status for census metropolitan areas, tracted census agglomerations and census tracts.
DOI: 10.25318/9810047601-fra
title: Revenu d'emploi par tranche de revenu selon la catégorie du lieu de travail : Régions métropolitaines de recensement, agglomérations de recensement subdivisées en secteurs de recensement et secteurs de recensement

description: Données sur la répartition du revenu d’emploi selon la catégorie du lieu de travail pour les régions métropolitaines de recensement, les agglomérations de recensement subdivisées en secteurs de recensement et les secteurs de recensement.
DOI: 10.25318/9810046701-eng
title: Place of work status by highest level of education, age and gender: Canada, provinces and territories, census divisions and census subdivisions

description: Data on the place of work status by highest level of education, age and gender.
DOI: 10.25318/9810046701-fra
title: Catégorie du lieu de travail selon le plus haut niveau de scolarité, l’âge et le genre : Canada, provinces et territoires, divisions de recensement et subdivisions de recensement

description: Données sur la catégorie du lieu de travail selon le plus haut niveau de scolarité, l’âge et le genre.
DOI: 10.25318/9810047501-eng
title: Employment income groups by place of work status: Canada, provinces and territories, census divisions and census subdivisions

description: Data on distribution of employment income by place of work status for Canada, provinces and territories, census divisions, and census subdivisions.
DOI: 10.25318/9810047501-fra
title: Revenu d'emploi par tranche de revenu selon la catégorie du lieu de travail : Canada, provinces et territoires, divisions de recensement et subdivisions de recensement

description: Données sur la répartition du revenu d’emploi selon la catégorie du lieu de travail pour le Canada, les provinces et territoires, les divisions de recensement et les subdivisions de recensement.
DOI: 10.25318/9810046801-eng
title: Main mode of commuting by immigrant status and period of immigration, visible minority, age and gender: Canada, provinces and territories, census metropolitan areas and census agglomerations with parts

description: Data on the main mode of commuting by immigrant status and period of immigration, visible minority, age and gender.
DOI: 10.25318/9810046801-fra
title: Principal mode de transport pour la navette selon le statut d'immigrant et la période d'immigration, les minorités visibles, l'âge et le genre : Canada, provinces et territoires, régions métropolitaines de recensement et agglomérations de recensement y compris les parties

description: Données sur le principal mode de transport pour la navette selon le statut d'immigrant et la période d'immigration, les minorités visibles, l'âge et le genre.
DOI: 10.25318/9810047401-eng
title: Total income groups by place of work status: Census metropolitan areas, tracted census agglomerations and census tracts

description: Data on distribution of total income by place of work status for census metropolitan areas, tracted census agglomerations and census tracts.
DOI: 10.25318/9810047401-fra
title: Revenu total par tranche de revenu selon la catégorie du lieu de travail : Régions métropolitaines de recensement, agglomérations de recensement subdivisées en secteurs de recensement et secteurs de recensement

description: Données sur la répartition du revenu total selon la catégorie du lieu de travail pour les régions métropolitaines de recensement, les agglomérations de recensement subdivisées en secteurs de recensement et les secteurs de recensement.
DOI: 10.25318/9810046901-eng
title: Place of work status by industry sectors, work activity during the reference year, age and gender: Canada, provinces and territories, census divisions and census subdivisions

description: Data on place of work status by industry sectors (2-digit code) from the North American Industry Classification System (NAICS) 2017, work activity during the reference year, age and gender for Canada, provinces and territories, census divisions and census subdivisions.
DOI: 10.25318/9810046901-fra
title: Catégorie du lieu de travail selon les secteurs d'industries, le travail durant l'année de référence, l'âge et le genre : Canada, provinces et territoires, divisions de recensement et subdivisions de recensement

description: Données sur la catégorie du lieu de travail selon les secteurs d'industries (code à 2 chiffres) du Système de classification des industries de l’Amérique du Nord (SCIAN) de 2017, le travail pendant l'année de référence, l'âge et le genre pour le Canada, les provinces et territoires, les divisions de recensement et les subdivisions de recensement.
DOI: 10.17632/3rpnybnnjw.1
title: Execution time of double-precision and high-precision SYR2 implementations on Intel Core i5-7500 and NVIDIA Turing RTX 2080

description: This dataset contains the execution time for symmetric rank-two update kernels (SYR2, BLAS Level 2) implemented using existing double-precision linear algebra software as well as multiple-precision libraries for CPU and GPU. Each raw file provided contains the results of three test runs in milliseconds. For each test run, the SYR2 kernel was repeated ten times, the total execution time of ten iterations was measured, and then the average was calculated. The complete source code for the tests can be found at https://github.com/kisupov/mpres-blas.

Common experiment settings:
• Dense, random, 5000-by-5000 matrix;
• Only the upper triangular part of the matrix was used;
• Unit strides of vectors x and y;
• Measurements are in milliseconds;
• Arithmetic precision from 106 to 424 bits.

Experimental environment:
• Intel Core i5 7500 processor;
• 32GB of DDR4 system memory;
• NVIDIA Turing RTX 2080 GPU (2944 CUDA Cores, Compute Capability 7.5, 8GB of GDDR6 memory);
• Ubuntu 20.04.5 LTS;
• NVIDIA Driver V455.32.00;
• CUDA Toolkit V11.1.

The following SYR2 implementations are evaluated:
• OpenBLAS (OpenMP, 53 bits) – double-precision implementation for CPU using OpenBLAS (https://github.com/xianyi/OpenBLAS);
• Custom double on CPU (OpenMP, 53 bits) – custom double-precision parallel (OpenMP) implementation;
• MPFR (OpenMP) – multiple-precision parallel implementation using the GNU MPFR Library for CPU (https://www.mpfr.org/);
• cuBLAS (53 bits) – double-precision implementation for CUDA using the NVIDIA Basic Linear Algebra Subroutines library (https://docs.nvidia.com/cuda/cublas/index.html);
• Custom double on GPU (53 bits) – custom double-precision CUDA implementation;
• MPRES-BLAS – multiple-precision CUDA implementation using MPRES-BLAS library (https://github.com/kisupov/mpres-blas);
• CAMPARY – multiple-precision CUDA implementation using CAMPARY library (https://homepages.laas.fr/mmjoldes/campary/).