cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13578984.v1
title: Additional file 10 of Alternative splicing landscapes in Arabidopsis thaliana across tissues and stress conditions highlight major functional differences with animals

description: Additional file 10: Table S9. List of AS events belonging to the stress and tissue AS core sets in C. elegans, D. melanogaster and H. sapiens.
DOI: 10.6084/m9.figshare.13578990
title: Additional file 12 of Alternative splicing landscapes in Arabidopsis thaliana across tissues and stress conditions highlight major functional differences with animals

description: Additional file 12: Table S11. Representative transcript per gene used for GE quantification in vast-tools and other analyses in this study.
DOI: 10.6084/m9.figshare.13579002
title: Additional file 3 of Alternative splicing landscapes in Arabidopsis thaliana across tissues and stress conditions highlight major functional differences with animals

description: Additional file 3: Table S2. A. thaliana RNA-seq datasets used to define the tissue-specific and stress-responsive GE and AS core sets.
DOI: 10.6084/m9.figshare.13579002.v1
title: Additional file 3 of Alternative splicing landscapes in Arabidopsis thaliana across tissues and stress conditions highlight major functional differences with animals

description: Additional file 3: Table S2. A. thaliana RNA-seq datasets used to define the tissue-specific and stress-responsive GE and AS core sets.
DOI: 10.6084/m9.figshare.13578990.v1
title: Additional file 12 of Alternative splicing landscapes in Arabidopsis thaliana across tissues and stress conditions highlight major functional differences with animals

description: Additional file 12: Table S11. Representative transcript per gene used for GE quantification in vast-tools and other analyses in this study.
DOI: 10.6084/m9.figshare.13578996
title: Additional file 1 of Alternative splicing landscapes in Arabidopsis thaliana across tissues and stress conditions highlight major functional differences with animals

description: Additional file 1: Table S1. A. thaliana RNA-seq datasets compiled for PastDB.
DOI: 10.6084/m9.figshare.13578987
title: Additional file 11 of Alternative splicing landscapes in Arabidopsis thaliana across tissues and stress conditions highlight major functional differences with animals

description: Additional file 11: Table S10. Enriched GO terms for genes belonging to the abiotic, biotic and tissue AS core sets in C. elegans, D. melanogaster and H. sapiens.
DOI: 10.6084/m9.figshare.13579017.v1
title: Additional file 8 of Alternative splicing landscapes in Arabidopsis thaliana across tissues and stress conditions highlight major functional differences with animals

description: Additional file 8: Table S7. RNA-seq analyses of RNA-processing factor mutant experiments.
DOI: 10.6084/m9.figshare.13579020.v1
title: Additional file 9 of Alternative splicing landscapes in Arabidopsis thaliana across tissues and stress conditions highlight major functional differences with animals

description: Additional file 9: Table S8. RNA-seq datasets used to define the tissue-specific and stress-responsive AS event core sets in C. elegans, D. melanogaster and H. sapiens.
DOI: 10.6084/m9.figshare.13579011
title: Additional file 6 of Alternative splicing landscapes in Arabidopsis thaliana across tissues and stress conditions highlight major functional differences with animals

description: Additional file 6: Table S5. Enriched GO terms for genes belonging to the abiotic, biotic and tissue AS and GE core sets in A. thaliana.
DOI: 10.6084/m9.figshare.13578987.v1
title: Additional file 11 of Alternative splicing landscapes in Arabidopsis thaliana across tissues and stress conditions highlight major functional differences with animals

description: Additional file 11: Table S10. Enriched GO terms for genes belonging to the abiotic, biotic and tissue AS core sets in C. elegans, D. melanogaster and H. sapiens.
DOI: 10.6084/m9.figshare.13579011.v1
title: Additional file 6 of Alternative splicing landscapes in Arabidopsis thaliana across tissues and stress conditions highlight major functional differences with animals

description: Additional file 6: Table S5. Enriched GO terms for genes belonging to the abiotic, biotic and tissue AS and GE core sets in A. thaliana.
DOI: 10.6084/m9.figshare.13578996.v1
title: Additional file 1 of Alternative splicing landscapes in Arabidopsis thaliana across tissues and stress conditions highlight major functional differences with animals

description: Additional file 1: Table S1. A. thaliana RNA-seq datasets compiled for PastDB.
DOI: 10.6084/m9.figshare.13579005
title: Additional file 4 of Alternative splicing landscapes in Arabidopsis thaliana across tissues and stress conditions highlight major functional differences with animals

description: Additional file 4: Table S3. List of AS events differentially regulated in response to abiotic and biotic stimuli or in different tissues of A. thaliana.
DOI: 10.6084/m9.figshare.13579014
title: Additional file 7 of Alternative splicing landscapes in Arabidopsis thaliana across tissues and stress conditions highlight major functional differences with animals

description: Additional file 7: Table S6. List of samples related to A. thaliana RNA-processing factor mutants.
DOI: 10.6084/m9.figshare.13579008
title: Additional file 5 of Alternative splicing landscapes in Arabidopsis thaliana across tissues and stress conditions highlight major functional differences with animals

description: Additional file 5: Table S4. List of genes differentially regulated in response to abiotic and biotic stimuli or in different tissues of A. thaliana.
DOI: 10.6084/m9.figshare.13579008.v1
title: Additional file 5 of Alternative splicing landscapes in Arabidopsis thaliana across tissues and stress conditions highlight major functional differences with animals

description: Additional file 5: Table S4. List of genes differentially regulated in response to abiotic and biotic stimuli or in different tissues of A. thaliana.
DOI: 10.5281/zenodo.4441368
title: Can I Solve it? Identifying the APIs required to complete OSS tasks

description: Python notebooks, R code to perform the survey analysis, survey questions, and experiment page.
DOI: 10.6084/m9.figshare.13579017
title: Additional file 8 of Alternative splicing landscapes in Arabidopsis thaliana across tissues and stress conditions highlight major functional differences with animals

description: Additional file 8: Table S7. RNA-seq analyses of RNA-processing factor mutant experiments.
DOI: 10.6084/m9.figshare.13579020
title: Additional file 9 of Alternative splicing landscapes in Arabidopsis thaliana across tissues and stress conditions highlight major functional differences with animals

description: Additional file 9: Table S8. RNA-seq datasets used to define the tissue-specific and stress-responsive AS event core sets in C. elegans, D. melanogaster and H. sapiens.
DOI: 10.6084/m9.figshare.13579005.v1
title: Additional file 4 of Alternative splicing landscapes in Arabidopsis thaliana across tissues and stress conditions highlight major functional differences with animals

description: Additional file 4: Table S3. List of AS events differentially regulated in response to abiotic and biotic stimuli or in different tissues of A. thaliana.
DOI: 10.6084/m9.figshare.13579014.v1
title: Additional file 7 of Alternative splicing landscapes in Arabidopsis thaliana across tissues and stress conditions highlight major functional differences with animals

description: Additional file 7: Table S6. List of samples related to A. thaliana RNA-processing factor mutants.
DOI: 10.6084/m9.figshare.13579035.v1
title: Additional file 1 of The role of ultrasonographic lung aeration score in the prediction of postoperative pulmonary complications: an observational study

description: Additional file 1. Dataset of the study. Categorical questions were marked with 1 (yes) or 0 (no). Abbreviations used in the table headers are explained as comments.
DOI: 10.6084/m9.figshare.13579035
title: Additional file 1 of The role of ultrasonographic lung aeration score in the prediction of postoperative pulmonary complications: an observational study

description: Additional file 1. Dataset of the study. Categorical questions were marked with 1 (yes) or 0 (no). Abbreviations used in the table headers are explained as comments.
DOI: 10.6084/m9.figshare.13579173
title: Additional file 1 of Mitigation of biases in estimating hazard ratios under non-sensitive and non-specific observation of outcomes–applications to influenza vaccine effectiveness

description: Additional file 1. R script. Description of data: The file provides four R functions and a working example (at the end of the script) allowing the realisation of the weighted partial likelihood approach and probabilistic deletion of false-positive events. sirdata() returns a piece-wise constant hazard mimicking the force of infection in a Susceptible-Infected-Removed epidemic. simdata() simulates time-to-event data and estdata() estimates the vaccine effectiveness and its standard error as described in the main text. outdata() combines the data simulation and estimation steps and returns the performance measures presented in the manuscript.
DOI: 10.6084/m9.figshare.13579173.v1
title: Additional file 1 of Mitigation of biases in estimating hazard ratios under non-sensitive and non-specific observation of outcomes–applications to influenza vaccine effectiveness

description: Additional file 1. R script. Description of data: The file provides four R functions and a working example (at the end of the script) allowing the realisation of the weighted partial likelihood approach and probabilistic deletion of false-positive events. sirdata() returns a piece-wise constant hazard mimicking the force of infection in a Susceptible-Infected-Removed epidemic. simdata() simulates time-to-event data and estdata() estimates the vaccine effectiveness and its standard error as described in the main text. outdata() combines the data simulation and estimation steps and returns the performance measures presented in the manuscript.
DOI: 10.6084/m9.figshare.13579185
title: Additional file 3 of Genomic regions associated with stripe rust resistance against the Egyptian race revealed by genome-wide association study

description: Additional file 3: Supplementary Table 1. list of the genotypes used in this study, country which they are belong to, USDA_ARS Iss and their sub-population. (.exe). Supplementary Table 2. Genome-wide association study of stripe rust resistance using the general linear model + population structure (GLM + PC) for the 2019 experiment (.exe). Supplementary Table 3. Genome-wide association study of stripe rust resistance using the general linear model + population structure (GLM + PC) for the 2020 experiment (.exe). Supplementary Table 4. significant DArT markers associated with stripe rust resistance in 2019 using single marker analysis (SMA) (.exe). Supplementary Table 5. significant DArT markers associated with stripe rust resistance in 2020 using single marker analysis (SMA). (.exe). Supplementary Table 6. Linkage disequilibrium between the significant SNPs and DArT markers on chromosomes 2A and 4A. (.exe)
DOI: 10.6084/m9.figshare.13579185.v1
title: Additional file 3 of Genomic regions associated with stripe rust resistance against the Egyptian race revealed by genome-wide association study

description: Additional file 3: Supplementary Table 1. list of the genotypes used in this study, country which they are belong to, USDA_ARS Iss and their sub-population. (.exe). Supplementary Table 2. Genome-wide association study of stripe rust resistance using the general linear model + population structure (GLM + PC) for the 2019 experiment (.exe). Supplementary Table 3. Genome-wide association study of stripe rust resistance using the general linear model + population structure (GLM + PC) for the 2020 experiment (.exe). Supplementary Table 4. significant DArT markers associated with stripe rust resistance in 2019 using single marker analysis (SMA) (.exe). Supplementary Table 5. significant DArT markers associated with stripe rust resistance in 2020 using single marker analysis (SMA). (.exe). Supplementary Table 6. Linkage disequilibrium between the significant SNPs and DArT markers on chromosomes 2A and 4A. (.exe)
DOI: 10.5439/1389626
title: KAZRCORHI-c0

description: For the Ka ARM Zenith Radar (KAZR) data stream, kazrcorhi.c1 (hi=high sensitivity), produces significant detection mask, corrects reflectivity for gaseous attenuation, and dealiases mean Doppler velocity. Note that reflectivity in this product is not calibrated.
DOI: 10.14457/kku.res.2019.11
title: Magnetic properties of fe3o4/au core/shell nanoparticles: a theoretical study for magnetic drug targeting
DOI: 10.14457/kku.res.2020.6
title: Design, synthesis and characterization of antimicrobial and antibiofilm peptides derived from Crocodylus siamensis hemoglobin with high bacterial cell selectivity
DOI: 10.14457/kku.res.2018.23
title: Development of new self-adaptive meta-heuristics and hyper-heuristics for optimisation of structures with welded joints and mechanism synthesis
DOI: 10.14457/kku.res.2016.31
title: Dynamics of decentralization from a fiscal perspective:Comparative analysis of general-purpose grant allocation systems in Indonesia and Thailand
DOI: 10.14457/kku.res.2012.120
title: Tracing cosmic structures evolution
DOI: 10.14457/kku.res.2014.35
title: Equitable vertex coloring in some classes of graphs
DOI: 10.14457/kku.res.2015.47
title: Relating occupation-induced musculoskeletal disorders to non-occupational disabilities as a basis for dual-population assistive technology design
DOI: 10.14457/kku.res.2018.24
title: Effects of ellagic acid on the cardiac remodeling in rat with nitric oxide deficiency
DOI: 10.14457/kku.res.2017.38
title: Fostering pre-service science teachers’ scientific inquiry-based technological pedagogical and content knowledge (TPACK) through a techno-pedagogy enrichment program
DOI: 10.14457/kku.res.2012.121
title: Influences of corporate governance mechanisms on IPOs survival:evidence from Thailand
DOI: 10.14457/kku.res.2008.152
title: Patient-healthcare provider communication: the patients' perspectives
DOI: 10.14457/kku.res.2015.48
title: Study of indirect electromagnetic interference (EMI) effects to instability test parameters of heat assisted magnetic recording heads
DOI: 10.14457/kku.res.2017.39
title: Design and analysis of novel adaptive controller for robust stability and synchronization of impulsive hybrid coupled nonlinear dynamical networks with time delay and application
DOI: 10.14457/kku.res.2017.40
title: Some nonlinear problems in a complete geodesic space with curvature bounded above
DOI: 10.14457/kku.res.2015.49
title: Electrospun fibers from pyrene-functionalized copolymers for ferric ion detection
DOI: 10.14457/kku.res.2016.30
title: Crystal designs and functional properties of metal-organic frameworks
DOI: 10.15156/bio/sh382191.07fu
title: SH382191.07FU

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/sh382192.07fu
title: SH382192.07FU

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/sh382193.07fu
title: SH382193.07FU

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/sh1747841.08fu
title: SH1747841.08FU

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/sh1747842.08fu
title: SH1747842.08FU

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/sh382194.07fu
title: SH382194.07FU

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/sh382195.07fu
title: SH382195.07FU

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/sh1747843.08fu
title: SH1747843.08FU

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.