cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10619958
title: MUAD: Multiple Uncertainties for Autonomous Driving

description: We introduce MUAD, a synthetic dataset for autonomous driving with multiple uncertainty types and tasks. It contains 10413 in total: 3420 images in the train set, 492 in the validation set and 6501 in the test set. The test set is divided as follows: 551 in the normal set, 102 in the normal set with no shadows, 1668 in the OOD set, 605 in the low adversity set and 602 images in the high adversity set, 1552 in the low adversity with OOD set and 1421 images in the high adversity with OOD set. All of these sets cover day and night conditions, with 2/3 being day images and 1/3 night images. Test datasets address diverse weather conditions (rain, snow, and fog with two different intensity levels) and multiple OOD objects.
DOI: 10.5281/zenodo.10619959
title: MUAD: Multiple Uncertainties for Autonomous Driving

description: We introduce MUAD, a synthetic dataset for autonomous driving with multiple uncertainty types and tasks. It contains 10413 in total: 3420 images in the train set, 492 in the validation set and 6501 in the test set. The test set is divided as follows: 551 in the normal set, 102 in the normal set with no shadows, 1668 in the OOD set, 605 in the low adversity set and 602 images in the high adversity set, 1552 in the low adversity with OOD set and 1421 images in the high adversity with OOD set. All of these sets cover day and night conditions, with 2/3 being day images and 1/3 night images. Test datasets address diverse weather conditions (rain, snow, and fog with two different intensity levels) and multiple OOD objects.
DOI: 10.6084/m9.figshare.19470380
title: Additional file 5 of Comparative transcriptome analysis reveals significant differences in gene expression between pathogens of apple Glomerella leaf spot and apple bitter rot

description: Additional file 5: Table S6. Gene ontology enrichment of the DEGs of the Colletotrichum C. gloeosporioides isolates FL180903 and FL180906.
DOI: 10.6084/m9.figshare.19470386.v1
title: Additional file 7 of Comparative transcriptome analysis reveals significant differences in gene expression between pathogens of apple Glomerella leaf spot and apple bitter rot

description: Additional file 7: Table S8. KEGG enrichment pathways DEGs between the Colletotrichum gloeosporioides isolates FL180903 and FL180906.
DOI: 10.6084/m9.figshare.19470383
title: Additional file 6 of Comparative transcriptome analysis reveals significant differences in gene expression between pathogens of apple Glomerella leaf spot and apple bitter rot

description: Additional file 6: Table S7. KEGG enrichment pathways DEGs between the Colletotrichum aenigma isolate GC20190701 and C. gloeosporioides isolate FL180906.
DOI: 10.6084/m9.figshare.22607704
title: Additional file 1 of Quantitative proteomics analysis revealed the potential role of lncRNA Ftx in cardiomyocytes

description: Additional file 1.
DOI: 10.6084/m9.figshare.19470389
title: Additional file 8 of Comparative transcriptome analysis reveals significant differences in gene expression between pathogens of apple Glomerella leaf spot and apple bitter rot

description: Additional file 8: Table S9. The highly differential expression genes of GLS- and ABR-pathogen.
DOI: 10.6084/m9.figshare.19470386
title: Additional file 7 of Comparative transcriptome analysis reveals significant differences in gene expression between pathogens of apple Glomerella leaf spot and apple bitter rot

description: Additional file 7: Table S8. KEGG enrichment pathways DEGs between the Colletotrichum gloeosporioides isolates FL180903 and FL180906.
DOI: 10.6084/m9.figshare.7936178
title: MOESM1 of Degradation of bamboo lignocellulose by bamboo snout beetle Cyrtotrachelus buqueti in vivo and vitro: efficiency and mechanism

description: Additional file 1: Table S1. Number and length of transcripts and unigenes and unigenes annotated in different databases.
DOI: 10.6084/m9.figshare.22607657.v1
title: Additional file 1 of Qihuang Granule protects the retinal pigment epithelium from oxidative stress via regulation of the alternative complement pathway

description: Additional file 1.
DOI: 10.6084/m9.figshare.7936190
title: MOESM2 of Degradation of bamboo lignocellulose by bamboo snout beetle Cyrtotrachelus buqueti in vivo and vitro: efficiency and mechanism

description: Additional file 2: Table S2. Percentage numbers of the abundant annotated species.
DOI: 10.6084/m9.figshare.7936190.v1
title: MOESM2 of Degradation of bamboo lignocellulose by bamboo snout beetle Cyrtotrachelus buqueti in vivo and vitro: efficiency and mechanism

description: Additional file 2: Table S2. Percentage numbers of the abundant annotated species.
DOI: 10.6084/m9.figshare.7936205.v1
title: MOESM5 of Degradation of bamboo lignocellulose by bamboo snout beetle Cyrtotrachelus buqueti in vivo and vitro: efficiency and mechanism

description: Additional file 5: Table S4. The CAZyme classification at the family level.
DOI: 10.5281/zenodo.8377370
title: Supporting Material: Addressing Suboptimal Poses in Nonequilibrium Alchemical Calculations

description: Supporting Material: Addressing Suboptimal Poses in Nonequilibrium Alchemical CalculationsAddressing Suboptimal Poses in Nonequilibrium Alchemical CalculationsMaurice Karrenbrock, Valerio Rizzi, Piero Procacci, and Francesco Luigi GervasioThe Journal of Physical Chemistry BDOI: 10.1021/acs.jpcb.3c06516https://pubs.acs.org/doi/10.1021/acs.jpcb.3c06516
description: We acknowledge PRACE and the Swiss National Supercomputing Centre (CSCS) for large supercomputer time allocations on Piz Daint, project IDs: pr126, s1107, s1169, s1228. FLG acknowledges the Swiss National Science Foundation and Bridge for financial support (projects number: 200021_204795 and 40B2-0_203628). PP acknowledges the National Recovery and Resilience Plan, Mission 4 Component 2 - Investment 1.4
DOI: 10.5281/zenodo.8377371
title: Supporting Material: Addressing Suboptimal Poses in Nonequilibrium Alchemical Calculations

description: Supporting Material: Addressing Suboptimal Poses in Nonequilibrium Alchemical CalculationsAddressing Suboptimal Poses in Nonequilibrium Alchemical CalculationsMaurice Karrenbrock, Valerio Rizzi, Piero Procacci, and Francesco Luigi GervasioThe Journal of Physical Chemistry BDOI: 10.1021/acs.jpcb.3c06516https://pubs.acs.org/doi/10.1021/acs.jpcb.3c06516
description: We acknowledge PRACE and the Swiss National Supercomputing Centre (CSCS) for large supercomputer time allocations on Piz Daint, project IDs: pr126, s1107, s1169, s1228. FLG acknowledges the Swiss National Science Foundation and Bridge for financial support (projects number: 200021_204795 and 40B2-0_203628). PP acknowledges the National Recovery and Resilience Plan, Mission 4 Component 2 - Investment 1.4
DOI: 10.15131/shef.data.23899131.v1
title: Examining Research Systems and Models for Local Government: A Systematic Review - Data extraction files.

description: We undertook a mapping review and time-constrained systematic review (in September-October 2020) to explore potential and existing models of local authority-based research systems. We searched databases, grey literature and references/citations of relevant sources, undertook systematic screening of titles, abstracts and full texts, and synthesised relevant data according to the characteristics of research systems, quality assessing for relevance, rigour and richness. We examined nine models in-depth and from these developed a typology of research systems. The review methods and findings will be published in the journal Evidence and Policy. The data deposited here detail the data extraction from the mapping review stage (in an Excel/CSV sheet), and the in-depth data extraction of the nine research models (all in one Word/PDF file), including a codebook to clarify the data extraction of core activities and research capacity subsystems, with references to the sources we used (also in a Word/PDF file).
DOI: 10.34740/kaggle/ds/4414210
title: Automatic Speech Recognition Farsi - Youtube
DOI: 10.6084/m9.figshare.19470395
title: Additional file 1 of Genome-wide identification, evolutionary and expression analyses of LEA gene family in peanut (Arachis hypogaea L.)

description: Additional file 1.
DOI: 10.6084/m9.figshare.19470524
title: Additional file 3 of Distribution and identification of Mycobacterium tuberculosis lineage in Kashgar prefecture

description: Additional file 3. 136 branch-specific SNPs in M.tb.
DOI: 10.6084/m9.figshare.19470518.v1
title: Additional file 1 of Distribution and identification of Mycobacterium tuberculosis lineage in Kashgar prefecture

description: Additional file 1. Samples information.
DOI: 10.6084/m9.figshare.19470524.v1
title: Additional file 3 of Distribution and identification of Mycobacterium tuberculosis lineage in Kashgar prefecture

description: Additional file 3. 136 branch-specific SNPs in M.tb.
DOI: 10.6084/m9.figshare.19470482.v1
title: Additional file 2 of Mutation analysis of the TUBB8 gene in primary infertile women with oocyte maturation arrest

description: Additional file 2: Supplementary Table 1. Summary of reported TUBB8 mutations (see Supplementary Table 1.xlsx).
DOI: 10.6084/m9.figshare.19470482
title: Additional file 2 of Mutation analysis of the TUBB8 gene in primary infertile women with oocyte maturation arrest

description: Additional file 2: Supplementary Table 1. Summary of reported TUBB8 mutations (see Supplementary Table 1.xlsx).
DOI: 10.6084/m9.figshare.22616233.v1
title: Additional file 3 of Genome-wide identification and analysis of the SUPPRESSOR of MAX2 1-LIKE gene family and its interaction with DWARF14 in poplar

description: Additional file 3: Supplementary Table S2. The Ks and Ka values of duplicated PtSMXLs gene pairs. The gene pairs marked in red are those that have been duplicated during salicoid duplication event.
DOI: 10.6084/m9.figshare.22616230
title: Additional file 2 of Genome-wide identification and analysis of the SUPPRESSOR of MAX2 1-LIKE gene family and its interaction with DWARF14 in poplar

description: Additional file 2: Supplementary Table S1. The duplication relationships of PtSMXLs. The two genes in each row in the table represent the collinear gene pairs identified by MCScanX. The GFF file provides information on the location of genes on chromosomes. The genes marked in red are located in chromosomal segments that are duplicated during salicoid duplication event.
DOI: 10.5281/zenodo.10631438
title: Chemically Self-Consistant Modeling of the Globular Cluster NGC 2808 and its Effects on the Inferred Helium abundance of Multiple Stellar Populations.

description: Digital Supplimental data (isochrone set) for the paper 







Chemically Self-Consistant Modeling of the Globular Cluster NGC 2808 and its Effects on the Inferred Helium abundance of Multiple Stellar Populations
DOI: 10.5281/zenodo.10631439
title: Chemically Self-Consistant Modeling of the Globular Cluster NGC 2808 and its Effects on the Inferred Helium abundance of Multiple Stellar Populations.

description: Digital Supplimental data (isochrone set) for the paper 







Chemically Self-Consistant Modeling of the Globular Cluster NGC 2808 and its Effects on the Inferred Helium abundance of Multiple Stellar Populations
DOI: 10.6084/m9.figshare.7936178.v1
title: MOESM1 of Degradation of bamboo lignocellulose by bamboo snout beetle Cyrtotrachelus buqueti in vivo and vitro: efficiency and mechanism

description: Additional file 1: Table S1. Number and length of transcripts and unigenes and unigenes annotated in different databases.
DOI: 10.6084/m9.figshare.19470580.v1
title: Additional file 7 of Assessment of the effectiveness of BOPPPS-based hybrid teaching model in physiology education

description: Additional file 7.
DOI: 10.6084/m9.figshare.22616233
title: Additional file 3 of Genome-wide identification and analysis of the SUPPRESSOR of MAX2 1-LIKE gene family and its interaction with DWARF14 in poplar

description: Additional file 3: Supplementary Table S2. The Ks and Ka values of duplicated PtSMXLs gene pairs. The gene pairs marked in red are those that have been duplicated during salicoid duplication event.
DOI: 10.6084/m9.figshare.22616230.v1
title: Additional file 2 of Genome-wide identification and analysis of the SUPPRESSOR of MAX2 1-LIKE gene family and its interaction with DWARF14 in poplar

description: Additional file 2: Supplementary Table S1. The duplication relationships of PtSMXLs. The two genes in each row in the table represent the collinear gene pairs identified by MCScanX. The GFF file provides information on the location of genes on chromosomes. The genes marked in red are located in chromosomal segments that are duplicated during salicoid duplication event.
DOI: 10.6084/m9.figshare.22616245.v1
title: Additional file 7 of Genome-wide identification and analysis of the SUPPRESSOR of MAX2 1-LIKE gene family and its interaction with DWARF14 in poplar

description: Additional file 7: Supplementary Table S6. The primer designed for qRT-PCR and vector construction.
DOI: 10.15156/bio/sh171948.07fu
title: SH171948.07FU

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/sh171949.07fu
title: SH171949.07FU

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/sh171950.07fu
title: SH171950.07FU

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/sh171951.07fu
title: SH171951.07FU

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/sh171952.07fu
title: SH171952.07FU

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/sh171953.07fu
title: SH171953.07FU

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/sh171954.07fu
title: SH171954.07FU

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/sh171955.07fu
title: SH171955.07FU

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/sh171956.07fu
title: SH171956.07FU

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.