cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0197482.10fu
title: SH0197482.10FU

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/sh0197483.10fu
title: SH0197483.10FU

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/sh0197484.10fu
title: SH0197484.10FU

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/sh0197485.10fu
title: SH0197485.10FU

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/sh0197486.10fu
title: SH0197486.10FU

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: 10.3886/e242897
title: Joseph Ayo Babalola University, Ikeji-Arakeji 2026/27 JUPEB/IJMB Form is out ☎️(08039478772) DR MERCY☎️ (+23408039478772) Direct-Entry Form, Transfer Form, Change of institution form, Change of Course form, Post graduate Diploma form, Masters form,

description: Joseph Ayo Babalola University, Ikeji-Arakeji 2026/27 JUPEB/IJMB Form is out ☎️(08039478772) DR MERCY☎️ (+23408039478772) Direct-Entry Form, Transfer Form, Change of institution form, Change of Course form, Post graduate Diploma form, Masters form, Phd form call ☎️(+23408039478772) for more inquiry and admission assistance.
DOI: 10.15156/bio/sh0197487.10fu
title: SH0197487.10FU

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/sh0197488.10fu
title: SH0197488.10FU

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/sh0197489.10fu
title: SH0197489.10FU

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/sh0197490.10fu
title: SH0197490.10FU

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.26304367
title: Motion generation for a tracked robot going over an unfixed obstacle on a slope using reinforcement learning

description: Tracked robots are useful in disaster recovery missions owing to their high traversability. However, even tracked robots find traversing terrains with obstacles such as rocks difficult. Particularly, unfixed obstacles pose problems. Therefore, this study aims to generate motion for tracked robots to go over unfixed obstacles on slopes by utilizing a reinforcement learning (RL) approach. In RL, rewards are important to make robots learn optimal policies for various tasks. Hence, a new definition of going over an unfixed obstacle is proposed. Based on the proposed definition, a sparse reward is designed to motivate the robot to go over the obstacle while avoiding the large sliding-down phenomenon responsible for the failure of going over and the large directional deviation of the robot. In our experiment, a robot is trained in a dynamic simulator and it attempts to go over a spherical unfixed obstacle under various environmental conditions: radius of the obstacle, slope degree, and initial position of the obstacle. We verify that the success rate converges to a high value and the robot successfully generates motions to go over the spherical unfixed obstacle.
DOI: 10.6084/m9.figshare.26304367.v1
title: Motion generation for a tracked robot going over an unfixed obstacle on a slope using reinforcement learning

description: Tracked robots are useful in disaster recovery missions owing to their high traversability. However, even tracked robots find traversing terrains with obstacles such as rocks difficult. Particularly, unfixed obstacles pose problems. Therefore, this study aims to generate motion for tracked robots to go over unfixed obstacles on slopes by utilizing a reinforcement learning (RL) approach. In RL, rewards are important to make robots learn optimal policies for various tasks. Hence, a new definition of going over an unfixed obstacle is proposed. Based on the proposed definition, a sparse reward is designed to motivate the robot to go over the obstacle while avoiding the large sliding-down phenomenon responsible for the failure of going over and the large directional deviation of the robot. In our experiment, a robot is trained in a dynamic simulator and it attempts to go over a spherical unfixed obstacle under various environmental conditions: radius of the obstacle, slope degree, and initial position of the obstacle. We verify that the success rate converges to a high value and the robot successfully generates motions to go over the spherical unfixed obstacle.
DOI: 10.15468/dl.j8w3sz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.019777 -34.478038, 147.019777 -34.48253, 147.024268 -34.48253, 147.024268 -34.478038, 147.019777 -34.478038))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071505-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26755228.v1
title: Additional file 17 of Single-mitochondrion sequencing uncovers distinct mutational patterns and heteroplasmy landscape in mouse astrocytes and neurons

description: Additional file 17:Dataset S6. Cell-type comparison of VAF variance in neurons and astrocytes.
DOI: 10.6084/m9.figshare.26753665.v1
title: Additional file 4 of TaSPL6B, a member of the Squamosa promoter binding protein-like family, regulates shoot branching and florescence in Arabidopsis thaliana

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.26755183.v1
title: Additional file 2 of Single-mitochondrion sequencing uncovers distinct mutational patterns and heteroplasmy landscape in mouse astrocytes and neurons

description: Additional file 2: Dataset S1. Sample metadata for SMITO dataset.
DOI: 10.5281/zenodo.13334084
title: Helium Evaporation
DOI: 10.5281/zenodo.13334085
title: Helium Evaporation
DOI: 10.6084/m9.figshare.26753665
title: Additional file 4 of TaSPL6B, a member of the Squamosa promoter binding protein-like family, regulates shoot branching and florescence in Arabidopsis thaliana

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.26759756
title: Additional file 12 of Transcriptomic changes in oligodendrocytes and precursor cells associate with clinical outcomes of Parkinson’s disease

description: Supplementary Material 12: Table S12: Polygenic prediction of clinical measures in PD patient replicate samples.
DOI: 10.6084/m9.figshare.26759741.v1
title: Additional file 7 of Transcriptomic changes in oligodendrocytes and precursor cells associate with clinical outcomes of Parkinson’s disease

description: Supplementary Material 7: Table S7: Enriched gene ontology terms for DEGs in ODCs and OPCs.
DOI: 10.6084/m9.figshare.26755270
title: Additional file 31 of Single-mitochondrion sequencing uncovers distinct mutational patterns and heteroplasmy landscape in mouse astrocytes and neurons

description: Additional file 31: Dataset S8. SNV AF table and samples support for each of the 1032 SNVs.
DOI: 10.6084/m9.figshare.26755237.v1
title: Additional file 20 of Single-mitochondrion sequencing uncovers distinct mutational patterns and heteroplasmy landscape in mouse astrocytes and neurons

description: Additional file 20: Dataset S7. Ks/Ks statistic data for astrocytes and neurons.
DOI: 10.6084/m9.figshare.26755279
title: Additional file 34 of Single-mitochondrion sequencing uncovers distinct mutational patterns and heteroplasmy landscape in mouse astrocytes and neurons

description: Additional file 34: Dataset S9. QC statistics from pipeline preprocessing.
DOI: 10.6084/m9.figshare.26751865
title: Additional file 2 of piscesCSM: prediction of anticancer synergistic drug combinations

description: Additional file 2.
DOI: 10.15468/dl.deyquh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((147.866443 -34.478038, 147.868689 -34.478038, 147.868689 -34.475792, 147.866443 -34.475792, 147.866443 -34.478038)), ((147.866443 -34.478038, 147.861951 -34.478038, 147.861951 -34.48253, 147.866443 -34.48253, 147.866443 -34.478038)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071506-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26755288
title: Additional file 37 of Single-mitochondrion sequencing uncovers distinct mutational patterns and heteroplasmy landscape in mouse astrocytes and neurons

description: Additional file 37: Dataset S10. Mouse NUMTs Analysis on SMITO data
DOI: 10.6084/m9.figshare.26755270.v1
title: Additional file 31 of Single-mitochondrion sequencing uncovers distinct mutational patterns and heteroplasmy landscape in mouse astrocytes and neurons

description: Additional file 31: Dataset S8. SNV AF table and samples support for each of the 1032 SNVs.
DOI: 10.6084/m9.figshare.26753677
title: Additional file 8 of TaSPL6B, a member of the Squamosa promoter binding protein-like family, regulates shoot branching and florescence in Arabidopsis thaliana

description: Supplementary Material 8
DOI: 10.6084/m9.figshare.26755288.v1
title: Additional file 37 of Single-mitochondrion sequencing uncovers distinct mutational patterns and heteroplasmy landscape in mouse astrocytes and neurons

description: Additional file 37: Dataset S10. Mouse NUMTs Analysis on SMITO data
DOI: 10.6084/m9.figshare.26751853.v1
title: Additional file 9 of Transcriptome analysis suggested that lncRNAs regulate rapeseed seedlings in responding to drought stress by coordinating the phytohormone signal transduction pathways

description: Supplementary Material 9
DOI: 10.6084/m9.figshare.26751868
title: Additional file 3 of piscesCSM: prediction of anticancer synergistic drug combinations

description: Additional file 3.
DOI: 10.6084/m9.figshare.26751871
title: Additional file 4 of piscesCSM: prediction of anticancer synergistic drug combinations

description: Additional file 4.
DOI: 10.6084/m9.figshare.26751871.v1
title: Additional file 4 of piscesCSM: prediction of anticancer synergistic drug combinations

description: Additional file 4.
DOI: 10.6084/m9.figshare.26751853
title: Additional file 9 of Transcriptome analysis suggested that lncRNAs regulate rapeseed seedlings in responding to drought stress by coordinating the phytohormone signal transduction pathways

description: Supplementary Material 9
DOI: 10.6084/m9.figshare.26751865.v1
title: Additional file 2 of piscesCSM: prediction of anticancer synergistic drug combinations

description: Additional file 2.
DOI: 10.15468/dl.ps3sv9
title: Occurrence Download

description: A dataset containing 180 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((147.938308 -34.473547, 147.938308 -34.475792, 147.945046 -34.475792, 147.945046 -34.478038, 147.947292 -34.478038, 147.947292 -34.475792, 147.951783 -34.475792, 147.951783 -34.473547, 147.938308 -34.473547)), ((147.945046 -34.478038, 147.938308 -34.478038, 147.938308 -34.48253, 147.945046 -34.48253, 147.945046 -34.478038)), ((147.951783 -34.475792, 147.951783 -34.478038, 147.958521 -34.478038, 147.958521 -34.475792, 147.951783 -34.475792)), ((147.958521 -34.478038, 147.958521 -34.48253, 147.960766 -34.48253, 147.960766 -34.478038, 147.958521 -34.478038)))"
 ]
}

 The dataset includes 180 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071507-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26752090
title: Additional file 1 of Rosin reinforcement and protection of the unearthed outer coffin from the tomb of Marquis Yi of Zeng in Hubei, China

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.26755306.v1
title: Additional file 2 of Diversely evolved xibalbin variants from remipede venom inhibit potassium channels and activate PKA-II and Erk1/2 signaling

description: Additional file 2: Table S1. Individual data values of all electrophysiological experiments.
DOI: 10.34740/kaggle/dsv/9190617
title: OCR_Bangla
DOI: 10.6084/m9.figshare.26752033
title: Additional file 1 of Ecological processes of bacterial microbiome assembly in healthy and dysbiotic strawberry farms

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.26755327
title: Additional file 8 of Diversely evolved xibalbin variants from remipede venom inhibit potassium channels and activate PKA-II and Erk1/2 signaling

description: Additional file 8: Table S3. Individual data values of all RAW246.7 and cytotoxicity experiments.
DOI: 10.6084/m9.figshare.26755330
title: Additional file 9 of Diversely evolved xibalbin variants from remipede venom inhibit potassium channels and activate PKA-II and Erk1/2 signaling

description: Additional file 9: Data S1. Phylogenetic tree file of all ICK peptides from remipedes and higher arthropods reconstructed in IQTREE.
DOI: 10.15468/dl.y3atpr
title: Occurrence Download

description: A dataset containing 755 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphrasia hyperborea Joerger"
 ]
}

 The dataset includes 755 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047875-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wzbesy
title: Occurrence Download

description: A dataset containing 908 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Pachycephala caledonica (Gmelin, 1789)"
 ]
}

 The dataset includes 908 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051339-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qvyst6
title: Occurrence Download

description: A dataset containing 522 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Tricholoma murrillianum Singer, Tricholoma cinnamomeum (Murrill) Murrill)"
 ]
}

 The dataset includes 522 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047891-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.