cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0912978.09fu
title: SH0912978.09FU

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/sh0912979.09fu
title: SH0912979.09FU

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/sh0912980.09fu
title: SH0912980.09FU

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/sh0912981.09fu
title: SH0912981.09FU

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/sh0912982.09fu
title: SH0912982.09FU

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/sh0912983.09fu
title: SH0912983.09FU

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/sh0912984.09fu
title: SH0912984.09FU

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/sh0912985.09fu
title: SH0912985.09FU

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/sh0912986.09fu
title: SH0912986.09FU

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/sh0912987.09fu
title: SH0912987.09FU

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.12644743
title: Additional file 1 of Roles for circulating polyunsaturated fatty acids in ischemic stroke and modifiable factors: a Mendelian randomization study

description: Additional file 1: Table S1. Significant and bi-allelic SNPs (p &lt; 5 × 10− 8) in GWAS of linoleic acid. Table S2. Significant and bi-allelic SNPs (p &lt; 5 × 10− 8) in GWAS of arachidonic acid. Table S3. Significant and bi-allelic SNPs (p &lt; 5 × 10− 8) in GWAS of a-linolenic acid. Table S4. Significant and bi-allelic SNPs (p &lt; 5 × 10− 8) in GWAS of eicosapentaenoic acid. Table S5. Significant and bi-allelic SNPs (p &lt; 5 × 10− 8) in GWAS of docosahexaenoic acid. Table S6. Significant and bi-allelic SNPs (p &lt; 5 × 10− 8) in GWAS of docosapentaenoic acid.
DOI: 10.6084/m9.figshare.12644743.v1
title: Additional file 1 of Roles for circulating polyunsaturated fatty acids in ischemic stroke and modifiable factors: a Mendelian randomization study

description: Additional file 1: Table S1. Significant and bi-allelic SNPs (p &lt; 5 × 10− 8) in GWAS of linoleic acid. Table S2. Significant and bi-allelic SNPs (p &lt; 5 × 10− 8) in GWAS of arachidonic acid. Table S3. Significant and bi-allelic SNPs (p &lt; 5 × 10− 8) in GWAS of a-linolenic acid. Table S4. Significant and bi-allelic SNPs (p &lt; 5 × 10− 8) in GWAS of eicosapentaenoic acid. Table S5. Significant and bi-allelic SNPs (p &lt; 5 × 10− 8) in GWAS of docosahexaenoic acid. Table S6. Significant and bi-allelic SNPs (p &lt; 5 × 10− 8) in GWAS of docosapentaenoic acid.
DOI: 10.6084/m9.figshare.12644746.v1
title: Additional file 2 of Roles for circulating polyunsaturated fatty acids in ischemic stroke and modifiable factors: a Mendelian randomization study

description: Additional file 2: Table S1. Associations of SNPs (that are significant (p &lt; 5 × 10− 8) and bi-allelic in GWAS of linoleic acid) for Ischemic stroke, LDL cholesterol, HDL cholesterol, Total cholesterol, Systolic blood pressure and Diastolic blood pressure. Table S2. Associations of SNPs (that are significant (p &lt; 5 × 10− 8) and bi-allelic in GWAS of arachidonic acid) for Ischemic stroke, LDL cholesterol, HDL cholesterol, Total cholesterol, Systolic blood pressure and Diastolic blood pressure. Table S3. Associations of SNPs (that are significant (p &lt; 5 × 10− 8) and bi-allelic in GWAS of a-linolenic acid) for Ischemic stroke, LDL cholesterol, HDL cholesterol, Total cholesterol, Systolic blood pressure and Diastolic blood pressure. Table S4. Associations of SNPs (that are significant (p &lt; 5 × 10− 8) and bi-allelic in GWAS of eicosapentaenoic acid) for Ischemic stroke, LDL cholesterol, HDL cholesterol, Total cholesterol, Systolic blood pressure and Diastolic blood pressure. Table S5. Associations of SNPs (that are significant (p &lt; 5 × 10− 8) and bi-allelic in GWAS of docosahexaenoic acid) for Ischemic stroke, LDL cholesterol, HDL cholesterol, Total cholesterol, Systolic blood pressure and Diastolic blood pressure. Table S6. Associations of SNPs (that are significant (p &lt; 5 × 10− 8) and bi-allelic in GWAS of docosapentaenoic acid) for Ischemic stroke, LDL cholesterol, HDL cholesterol, Total cholesterol, Systolic blood pressure and Diastolic blood pressure. Table S7. Summary Statistics Data Sources.
DOI: 10.6084/m9.figshare.12644755
title: Additional file 5 of Roles for circulating polyunsaturated fatty acids in ischemic stroke and modifiable factors: a Mendelian randomization study

description: Additional file 5: Table S1. Gene functionally relevant to the metabolism of each fatty acids. Table S2. Sensitivity analysis for linoleic acid (number of SNP = 3). Table S3. Sensitivity analysis for docosapentaenoic acid (number of SNP = 3). Table S4. Power calculation for the associations of plasma fatty acids with Ischemic stroke.
DOI: 10.6084/m9.figshare.12644755.v1
title: Additional file 5 of Roles for circulating polyunsaturated fatty acids in ischemic stroke and modifiable factors: a Mendelian randomization study

description: Additional file 5: Table S1. Gene functionally relevant to the metabolism of each fatty acids. Table S2. Sensitivity analysis for linoleic acid (number of SNP = 3). Table S3. Sensitivity analysis for docosapentaenoic acid (number of SNP = 3). Table S4. Power calculation for the associations of plasma fatty acids with Ischemic stroke.
DOI: 10.6084/m9.figshare.24328567.v1
title: Anti-diabetic effect of di-caffeoylquinic acid is associated with the modulation of gut microbiota and bile acid metabolism

description: Metagenome-assembled genomes (MAGs) analysis revealed the gut microbiota associated with BMI and T2DM in the AGP cohort are involved in BA transformation pathways
DOI: 10.6084/m9.figshare.24189118
title: Additional file 2 of Post-translational modification of CDK1–STAT3 signaling by fisetin suppresses pancreatic cancer stem cell properties

description: Additional file 2: Table S1. Proteins identified by proteomic.
DOI: 10.6084/m9.figshare.24189118.v1
title: Additional file 2 of Post-translational modification of CDK1–STAT3 signaling by fisetin suppresses pancreatic cancer stem cell properties

description: Additional file 2: Table S1. Proteins identified by proteomic.
DOI: 10.20383/103.0859
title: Genotype and raw sequencing data for "Development of a high-density sub-species-specific targeted SNP assay for Rocky Mountain bighorn sheep (Ovis canadensis canadensis)"

description: We designed a novel SNP (Single nucleotide polymorphism) genotyping assay for use with Tecan's Allegro genotyping technology (a form of single primer enrichment technology or SPET) for Rocky Mountain bighorn sheep. Our overall goal was to develop an assay which targeted 50,000 SNPs in this species but during development we designed a trial 10,000 SNP assay. We trialled both the 10,000 and 50,000 SNP assay on 40 Rocky Mountain bighorn sheep, eight individuals from two other subspecies of bighorn sheep, and eight individuals from two other species of thinhorn sheep. The Tecan library prep was performed on these samples and then sequenced on an Illumina NextSeq next generation sequencer. Data here contains raw sequencing reads for the 56 individuals genotyped using the 10,000 SNP and 50,000 SNP assays, and the VCF genotype files produced when aligning and SNP calling was performed on these reads.
DOI: 10.6084/m9.figshare.24189121
title: Additional file 3 of Post-translational modification of CDK1–STAT3 signaling by fisetin suppresses pancreatic cancer stem cell properties

description: Additional file 3: Table S2. Protein kinase like domain associated genes.
DOI: 10.6084/m9.figshare.24189121.v1
title: Additional file 3 of Post-translational modification of CDK1–STAT3 signaling by fisetin suppresses pancreatic cancer stem cell properties

description: Additional file 3: Table S2. Protein kinase like domain associated genes.
DOI: 10.6084/m9.figshare.24189124
title: Additional file 4 of Post-translational modification of CDK1–STAT3 signaling by fisetin suppresses pancreatic cancer stem cell properties

description: Additional file 4: Table S3. Levels of transcriptome and protein phosphorylation of genes in HIF-1 signaling.
DOI: 10.6084/m9.figshare.24189124.v1
title: Additional file 4 of Post-translational modification of CDK1–STAT3 signaling by fisetin suppresses pancreatic cancer stem cell properties

description: Additional file 4: Table S3. Levels of transcriptome and protein phosphorylation of genes in HIF-1 signaling.
DOI: 10.6084/m9.figshare.24189127
title: Additional file 5 of Post-translational modification of CDK1–STAT3 signaling by fisetin suppresses pancreatic cancer stem cell properties

description: Additional file 5: Table S4. Levels of transcriptome and protein phosphorylation of genes in JAK–STAT signaling.
DOI: 10.6084/m9.figshare.24189127.v1
title: Additional file 5 of Post-translational modification of CDK1–STAT3 signaling by fisetin suppresses pancreatic cancer stem cell properties

description: Additional file 5: Table S4. Levels of transcriptome and protein phosphorylation of genes in JAK–STAT signaling.
DOI: 10.6084/m9.figshare.22606297
title: Additional file 7 of Iris lactea var. chinensis plant drought tolerance depends on the response of proline metabolism, transcription factors, transporters and the ROS-scavenging system

description: Additional file 7.
DOI: 10.6084/m9.figshare.22606297.v1
title: Additional file 7 of Iris lactea var. chinensis plant drought tolerance depends on the response of proline metabolism, transcription factors, transporters and the ROS-scavenging system

description: Additional file 7.
DOI: 10.6084/m9.figshare.22602445
title: Additional file 5 of Gut microbiome variations in Rhinopithecus roxellanae caused by changes in the environment

description: Additional file 5. Data Production of 24 samples.
DOI: 10.6084/m9.figshare.22602436
title: Additional file 2 of Gut microbiome variations in Rhinopithecus roxellanae caused by changes in the environment

description: Additional file 2.  Total OTUs before and after reads normalized based on a standard of sequence number corresponding to the sample with the least sequences.
DOI: 10.6084/m9.figshare.22602436.v1
title: Additional file 2 of Gut microbiome variations in Rhinopithecus roxellanae caused by changes in the environment

description: Additional file 2.  Total OTUs before and after reads normalized based on a standard of sequence number corresponding to the sample with the least sequences.
DOI: 10.6084/m9.figshare.22602463.v1
title: Additional file 11 of Gut microbiome variations in Rhinopithecus roxellanae caused by changes in the environment

description: Additional file 11. Relative abundance profile at CAZy family level.
DOI: 10.6084/m9.figshare.22602472.v1
title: Additional file 14 of Gut microbiome variations in Rhinopithecus roxellanae caused by changes in the environment

description: Additional file 14. The annotation results against CARD database.
DOI: 10.6084/m9.figshare.22602448
title: Additional file 6 of Gut microbiome variations in Rhinopithecus roxellanae caused by changes in the environment

description: Additional file 6. Relative abundance profile at genus level.
DOI: 10.6084/m9.figshare.22602460
title: Additional file 10 of Gut microbiome variations in Rhinopithecus roxellanae caused by changes in the environment

description: Additional file 10. Detailed information of differential KEGG ECs.
DOI: 10.6084/m9.figshare.22602460.v1
title: Additional file 10 of Gut microbiome variations in Rhinopithecus roxellanae caused by changes in the environment

description: Additional file 10. Detailed information of differential KEGG ECs.
DOI: 10.6084/m9.figshare.22602448.v1
title: Additional file 6 of Gut microbiome variations in Rhinopithecus roxellanae caused by changes in the environment

description: Additional file 6. Relative abundance profile at genus level.
DOI: 10.6084/m9.figshare.22602433
title: Additional file 1 of Gut microbiome variations in Rhinopithecus roxellanae caused by changes in the environment

description: Additional file 1. Phenotype information of all monkeys.
DOI: 10.6084/m9.figshare.22602472
title: Additional file 14 of Gut microbiome variations in Rhinopithecus roxellanae caused by changes in the environment

description: Additional file 14. The annotation results against CARD database.
DOI: 10.6084/m9.figshare.22602433.v1
title: Additional file 1 of Gut microbiome variations in Rhinopithecus roxellanae caused by changes in the environment

description: Additional file 1. Phenotype information of all monkeys.
DOI: 10.6084/m9.figshare.22602469
title: Additional file 13 of Gut microbiome variations in Rhinopithecus roxellanae caused by changes in the environment

description: Additional file 13. Overview of the antibiotic resistome in the gut of R.roxellanae.
DOI: 10.6084/m9.figshare.22602442
title: Additional file 4 of Gut microbiome variations in Rhinopithecus roxellanae caused by changes in the environment

description: Additional file 4. Weighted Unifrac distance from Amplicon sequencing.
DOI: 10.6084/m9.figshare.22602457
title: Additional file 9 of Gut microbiome variations in Rhinopithecus roxellanae caused by changes in the environment

description: Additional file 9. Relative abundance profile at KEGG EC level.
DOI: 10.18462/iif.nitec52.05.2023
title: Evaporative cooling. 52nd Informatory Note on Refrigeration Technologies.
DOI: 10.6084/m9.figshare.22606477
title: Additional file 10 of Comparison of structural variants detected by PacBio-CLR and ONT sequencing in pear

description: Additional file 10. The length of different types of overlapping SVs from three SV detection tools.
DOI: 10.6084/m9.figshare.22606453
title: Additional file 3 of Comparison of structural variants detected by PacBio-CLR and ONT sequencing in pear

description: Additional file 3. SVs detected by Sniffles_v2, CuteSV, and Nanovar that overlapped with PAVs at a range of sequencing depths.