cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.9122636.v1
title: raw texture feature

description: The texture feature extracted using the texture feature extraction method (refer to Method: Texture feature extraction section), is accessible as the file texture_feature_raw.xlsx
DOI: 10.6084/m9.figshare.9122639.v1
title: shape feature

description: The shape feature extracted via the shape feature extraction method (see Method: Shape feature extraction section), is also available as the file shape_feature.xlsx
DOI: 10.5281/zenodo.7757608
title: Library Conference Twitter IDs, 2011-2021

description: Twitter IDs from five major library professional conferences from 2011 and 2021. Tweets from each conference were retrieved from the Twitter API by matching on lists of official conference hashtags for each year, along with common hashtag variants. Files are named using common acronyms for the professional organization hosting the conferences: AALL (American Association of Law Libraries), ALA (American Library Association), MLA (Medical Library Association), SAA (Society of American Archivists), SLA (Special Libraries Association).  Each comma separated value file contains two columns. The first includes a full list of unique tweet IDs for the relevant conference. The second column lists the year tweets were published.


Only Twitter IDs are shared here in accordance with the Twitter Developer Terms of Service. DocNow's Hydrator tool can be used to download data and metadata to the tweet IDs.
description: The tweet data was acquired using the Twitter API for Academic Research and converted from JSON to Pandas dataframes where they were cleaned. The tweet JSON files were imported into a Python computing environment, and concatenated into a Pandas dataframe after normalizing metadata columns to follow the same structure. After removing tweets that would not be analyzed, the tweet id column for each year was exported into the CSV files preserved here.

Number of tweets/rows per file:
aall_ids.csv: 31,945
ala_ids.csv: 37,0941
mla_ids.csv: 74,802
saa_ids.csv: 93,534
sla_ids.csv: 65,015
DOI: 10.5281/zenodo.7757609
title: Library Conference Twitter IDs, 2011-2021

description: Twitter IDs from five major library professional conferences from 2011 and 2021. Tweets from each conference were retrieved from the Twitter API by matching on lists of official conference hashtags for each year, along with common hashtag variants. Files are named using common acronyms for the professional organization hosting the conferences: AALL (American Association of Law Libraries), ALA (American Library Association), MLA (Medical Library Association), SAA (Society of American Archivists), SLA (Special Libraries Association).  Each comma separated value file contains two columns. The first includes a full list of unique tweet IDs for the relevant conference. The second column lists the year tweets were published.


Only Twitter IDs are shared here in accordance with the Twitter Developer Terms of Service. DocNow's Hydrator tool can be used to download data and metadata to the tweet IDs.
description: The tweet data was acquired using the Twitter API for Academic Research and converted from JSON to Pandas dataframes where they were cleaned. The tweet JSON files were imported into a Python computing environment, and concatenated into a Pandas dataframe after normalizing metadata columns to follow the same structure. After removing tweets that would not be analyzed, the tweet id column for each year was exported into the CSV files preserved here.

Number of tweets/rows per file:
aall_ids.csv: 31,945
ala_ids.csv: 37,0941
mla_ids.csv: 74,802
saa_ids.csv: 93,534
sla_ids.csv: 65,015
DOI: 10.6084/m9.figshare.9122639
title: shape feature

description: The shape feature extracted via the shape feature extraction method (see Method: Shape feature extraction section), is also available as the file shape_feature.xlsx
DOI: 10.6084/m9.figshare.20652826.v1
title: Additional file 2 of Integrated methylome and transcriptome analysis unravel the cold tolerance mechanism in winter rapeseed(Brassica napus L.)

description: Additional file 2. Table S2.1 The DMRs between two cultivars under CG context in control. Table S2.2 The DMRs between two cultivars under CHG context in control. Table S2.3 The DMRs between two cultivars under CHH context in control. Table S2.4 The DMRs between two cultivars under CG context in treatment1. Table S2.5 The DMRs between two cultivars under CHG context in treatment1. Table S2.6 The DMRs between two cultivars under CHH context in treatment1. Table S2.7 The DMRs between two cultivars under CG context in treatment2. Table S2.8 The DMRs between two cultivars under CHG context in treatment2. Table S2.9 The DMRs between two cultivars under CHH context in treatment2.
DOI: 10.6084/m9.figshare.20652844
title: Additional file 8 of Integrated methylome and transcriptome analysis unravel the cold tolerance mechanism in winter rapeseed(Brassica napus L.)

description: Additional file 8. Table S8.1 Identification of differentially expressed transcription factors for DMEGs. Table S8.2 Result of TFs between two cultivars in treatment1. Table S8.3 Result of TFs between two cultivars in treatment2. Table S8.4 The correlation coefficient between the expression level and the methylation level of the gene encoding the transcription factor. Table S8.5 Result of kinases between two cultivars in treatment1. Table S8.6 Result of kinases between two cultivars in treatment2.
DOI: 10.6084/m9.figshare.20652838.v1
title: Additional file 6 of Integrated methylome and transcriptome analysis unravel the cold tolerance mechanism in winter rapeseed(Brassica napus L.)

description: Additional file 6. Table S6.1 The DMEGs between two cultivars under CG context in control. Table S6.2 The DMEGs between two cultivars under CHG context in control. Table S6.3 The DMEGs between two cultivars under CHH context in control. Table S6.4 The DMEGs between two cultivars under CG context in treatment1. Table S6.5 The DMEGs between two cultivars under CHG context in treatment1. Table S6.6 The DMEGs between two cultivars under CHH context in treatment1. Table S6.7 The DMEGs between two cultivars under CG context in treatment2. Table S6.8 The DMEGs between two cultivars under CHG context in treatment2. Table S6.9 The DMEGs between two cultivars under CHH context in treatment2.
DOI: 10.6084/m9.figshare.14889795
title: Additional file 5 of SMOOTH-seq: single-cell genome sequencing of human cells on a third-generation sequencing platform

description: Additional file 5: Table S4. Describes SVs in CRC.
DOI: 10.6084/m9.figshare.14889786.v1
title: Additional file 2 of SMOOTH-seq: single-cell genome sequencing of human cells on a third-generation sequencing platform

description: Additional file 2: Table S1. Describes data information.
DOI: 10.6084/m9.figshare.14889789
title: Additional file 3 of SMOOTH-seq: single-cell genome sequencing of human cells on a third-generation sequencing platform

description: Additional file 3: Table S2. Describes ecDNAs in K562 cells.
DOI: 10.6084/m9.figshare.14889795.v1
title: Additional file 5 of SMOOTH-seq: single-cell genome sequencing of human cells on a third-generation sequencing platform

description: Additional file 5: Table S4. Describes SVs in CRC.
DOI: 10.6084/m9.figshare.14889786
title: Additional file 2 of SMOOTH-seq: single-cell genome sequencing of human cells on a third-generation sequencing platform

description: Additional file 2: Table S1. Describes data information.
DOI: 10.6084/m9.figshare.14889789.v1
title: Additional file 3 of SMOOTH-seq: single-cell genome sequencing of human cells on a third-generation sequencing platform

description: Additional file 3: Table S2. Describes ecDNAs in K562 cells.
DOI: 10.7910/dvn/ulhlcb
title: NELA-GT-2018

description: Dataset for article "NELA-GT-2018: A Large Multi-Labelled News Dataset for the Study of Misinformation in News Articles".
DOI: 10.6084/m9.figshare.9122627
title: 134 shell species images

description: 134 shell species’ images are analysed by three (colour, shape and texture) feature extraction methods
DOI: 10.6084/m9.figshare.13316921.v1
title: Additional file 2 of dbNSFP v4: a comprehensive database of transcript-specific functional predictions and annotations for human nonsynonymous and splice-site SNVs

description: Additional file 2: Table S2. Nonmissing counts of ssSNV, nsSNV and 45 scores per chromosome. Table S3. Density of rank scores based on 100 bins (bin size = 0.01). Table S4. Pearson’s correlation coefficients between rank scores. Table S5. Ratio of binary predictions’ agreement between scores. Table S6. AUROC/VUROC scores between TP testing set and different TN testing sets for the 45 deleterious prediction scores in dbNSFP v4.1.
DOI: 10.6084/m9.figshare.9122633.v1
title: color feature processing

description: The colour feature extracted by the aforementioned colour feature extraction method (refer to Method: Colour feature extraction section), is also available as the file colour_feature_raw.xlsx, where post-processing by calculating the mean (μ) and standard deviation (s) can be found in the file colour_feature_processing.xlsx.
DOI: 10.6084/m9.figshare.16986934
title: Additional file 2 of Fasciculation differences between ALS and non-ALS patients: an ultrasound study

description: Additional file 2.
DOI: 10.6084/m9.figshare.9122678.v1
title: all shape features

description: This file contains shape features of all shell iamges
DOI: 10.6084/m9.figshare.9122642.v1
title: raw color feature

description: The colour feature extracted by the aforementioned colour feature extraction method (refer to Method: Colour feature extraction section), is also available as the file colour_feature_raw.xlsx, where post-processing by calculating the mean (μ) and standard deviation (s) can be found in the file colour_feature_processing.xlsx.
DOI: 10.6084/m9.figshare.16986883
title: Additional file 3 of Functional screen of inflammatory bowel disease genes reveals key epithelial functions

description: Additional file 3. Supporting data for Cluster 1 genes (Complete list of HITs and functional enrichment results)
DOI: 10.6084/m9.figshare.9122675.v1
title: all color features

description: This file contains color features of all shell images.
DOI: 10.5883/ds-ohhyd
title: First DNA barcode reference library for water mites of the ancient Lake Ohrid reveals high diversity and lineage endemism

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.6084/m9.figshare.25202747
title: The EU in the Balkans Project

description: This is the 2018 edition of the public opinion survey "EU in the Balkans."
DOI: 10.6084/m9.figshare.16986988.v1
title: Additional file 2 of Organization, evolution and function of fengycin biosynthesis gene clusters in the Bacillus amyloliquefaciens group

description: Additional file 2: Table S1 Average nucleotide identity pairwise comparisons among the B. amyloliquefaciens group strains. Table S2. Strains and plasmids used in this study. Table S3. Primers used in this study.
DOI: 10.6084/m9.figshare.16986988
title: Additional file 2 of Organization, evolution and function of fengycin biosynthesis gene clusters in the Bacillus amyloliquefaciens group

description: Additional file 2: Table S1 Average nucleotide identity pairwise comparisons among the B. amyloliquefaciens group strains. Table S2. Strains and plasmids used in this study. Table S3. Primers used in this study.
DOI: 10.5883/ds-euwill
title: Effects of individual traits vs. trait syndromes on assemblages of various herbivore guilds associated with central European Salix

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.6084/m9.figshare.9122750
title: all texture features

description: This file contains texture features of shell dataset.
DOI: 10.6084/m9.figshare.9122750.v1
title: all texture features

description: This file contains texture features of shell dataset.
DOI: 10.6084/m9.figshare.9122753.v1
title: all shell species inventory

description: The sample number of each shell species is recorded as the file all_shell_species_inventory_revised.xlsx
DOI: 10.6084/m9.figshare.9122678
title: all shape features

description: This file contains shape features of all shell iamges
DOI: 10.6084/m9.figshare.9122753
title: all shell species inventory

description: The sample number of each shell species is recorded as the file all_shell_species_inventory_revised.xlsx
DOI: 10.6084/m9.figshare.14889856
title: Additional file 8 of Integration of a single-step genome-wide association study with a multi-tissue transcriptome analysis provides novel insights into the genetic basis of wool and weight traits in sheep

description: Additional file 8: Table S4. Enriched gene ontology (GO) terms (biological processes, BP) for the top 10% of genes expressed in specific tissues based on the t-statistic ranks in each organ system.
DOI: 10.6084/m9.figshare.14889829.v1
title: Additional file 11 of Integration of a single-step genome-wide association study with a multi-tissue transcriptome analysis provides novel insights into the genetic basis of wool and weight traits in sheep

description: Additional file 11: Table S7. Results of the phenome-wide association study (PheWAS) for 78 of 81 candidate genes.
DOI: 10.6084/m9.figshare.14889856.v1
title: Additional file 8 of Integration of a single-step genome-wide association study with a multi-tissue transcriptome analysis provides novel insights into the genetic basis of wool and weight traits in sheep

description: Additional file 8: Table S4. Enriched gene ontology (GO) terms (biological processes, BP) for the top 10% of genes expressed in specific tissues based on the t-statistic ranks in each organ system.
DOI: 10.6084/m9.figshare.13317130.v3
title: Chaperone-mediated autophagy controls the turnover of E3 ubiquitin ligase MARCHF5 and regulates mitochondrial dynamics

description: As a highly dynamic organelle, mitochondria undergo constant fission and fusion to change their morphology and function, coping with various stress conditions. Loss of the balance between fission and fusion leads to impaired mitochondria function, which plays a critical role in the pathogenesis of Parkinson disease (PD). Yet the mechanisms behind mitochondria dynamics regulation remain to be fully illustrated. Chaperone-mediated autophagy (CMA) is a lysosome-dependent process that selectively degrades proteins to maintain cellular proteostasis. In this study, we demonstrated that MARCHF5, an E3 ubiquitin ligase required for mitochondria fission, is a CMA substrate. MARCHF5 interacted with key CMA regulators and was degraded by lysosomes. Severe oxidative stress compromised CMA activity and stabilized MARCHF5, which facilitated DNM1L translocation and led to excessive fission. Increase of CMA activity promoted MARCHF5 turnover, attenuated DNM1L translocation, and reduced mitochondria fragmentation, which alleviated mitochondrial dysfunction under oxidative stress. Furthermore, we showed that conditional expression of LAMP2A, the key CMA regulator, in dopaminergic (DA) neurons helped maintain mitochondria morphology and protected DA neuronal viability in a rodent PD model. Our work uncovers a critical role of CMA in maintaining proper mitochondria dynamics, and loss of this regulatory control may occur in PD and underlie its pathogenic process. <b>Abbreviations:</b> CMA: chaperone-mediated autophagy; DA: dopaminergic; DNM1L: dynamin 1 like; FCCP: carbonyl cyanide 4-(trifluoromethoxy) phenylhydrazone; HSPA8: heat shock protein family A (Hsp70) member 8; LAMP2A: lysosomal associated membrane protein 2A; MARCHF5: membrane-associated ring-CH-type finger 5; MMP: mitochondria membrane potential; OCR: oxygen consumption rate; 6-OHDA: 6-hydroxydopamine; PD: Parkinson disease; SNc: substantia nigra pars compacta; TEM: transmission electron microscopy; TH: tyrosine hydroxylase; TMRE: tetramethylrhodamine ethyl ester perchlorate; WT: wild type.
DOI: 10.6084/m9.figshare.14889859.v1
title: Additional file 9 of Integration of a single-step genome-wide association study with a multi-tissue transcriptome analysis provides novel insights into the genetic basis of wool and weight traits in sheep

description: Additional file 9: Table S5. Significant GWAS signal enrichment of complex traits across all tissues within organ systems, the gastrointestinal (GI) tract and the immune system.
DOI: 10.6084/m9.figshare.14361665
title: Additional file 2 of A high-density genetic map construction and sex-related loci identification in Chinese Giant salamander

description: Additional file 2: Table S2. Genotyping information and location of each SNP on the 30 LGs
DOI: 10.6084/m9.figshare.12788764
title: Additional file 2 of Composition and function of rhizosphere microbiome of Panax notoginseng with discrepant yields

description: Additional file 2. Abundance of the metagenomic microbial function profiling (KEGG orthology function category).
DOI: 10.6084/m9.figshare.23292026
title: Additional file 1 of Novel insights into systemic sclerosis using a sensitive computational method to analyze whole-genome bisulfite sequencing data

description: Additional file 1: Annotated differentially methylated regions detected by SOMNiBUS
DOI: 10.6084/m9.figshare.23292026.v1
title: Additional file 1 of Novel insights into systemic sclerosis using a sensitive computational method to analyze whole-genome bisulfite sequencing data

description: Additional file 1: Annotated differentially methylated regions detected by SOMNiBUS
DOI: 10.6084/m9.figshare.23292041
title: Additional file 6 of Novel insights into systemic sclerosis using a sensitive computational method to analyze whole-genome bisulfite sequencing data

description: Additional file 6: Networks impacted by SSc-associated CpG differential methylation identified by IPA for all 125 DMGs in the genome
DOI: 10.6084/m9.figshare.23292041.v1
title: Additional file 6 of Novel insights into systemic sclerosis using a sensitive computational method to analyze whole-genome bisulfite sequencing data

description: Additional file 6: Networks impacted by SSc-associated CpG differential methylation identified by IPA for all 125 DMGs in the genome
DOI: 10.6084/m9.figshare.23292044
title: Additional file 7 of Novel insights into systemic sclerosis using a sensitive computational method to analyze whole-genome bisulfite sequencing data

description: Additional file 7: Networks impacted by SSc-associated CpG differential methylation identified by IPA for the 78 DMGs located on an autosomal chromosome
DOI: 10.6084/m9.figshare.23292047
title: Additional file 8 of Novel insights into systemic sclerosis using a sensitive computational method to analyze whole-genome bisulfite sequencing data

description: Additional file 8: Networks impacted by SSc-associated CpG differential methylation identified by IPA for the 47 DMGs located on chromosome X
DOI: 10.6084/m9.figshare.23292044.v1
title: Additional file 7 of Novel insights into systemic sclerosis using a sensitive computational method to analyze whole-genome bisulfite sequencing data

description: Additional file 7: Networks impacted by SSc-associated CpG differential methylation identified by IPA for the 78 DMGs located on an autosomal chromosome
DOI: 10.6084/m9.figshare.23292047.v1
title: Additional file 8 of Novel insights into systemic sclerosis using a sensitive computational method to analyze whole-genome bisulfite sequencing data

description: Additional file 8: Networks impacted by SSc-associated CpG differential methylation identified by IPA for the 47 DMGs located on chromosome X
DOI: 10.6084/m9.figshare.23292068
title: Additional file 2 of Clustering trunk movements of children and adolescents with neurological gait disorders undergoing robot-assisted gait therapy: the functional ability determines if actuated pelvis movements are clinically useful

description: Additional file 2: Supplement B. Parameter Settings for all participants.
DOI: 10.6084/m9.figshare.23292068.v1
title: Additional file 2 of Clustering trunk movements of children and adolescents with neurological gait disorders undergoing robot-assisted gait therapy: the functional ability determines if actuated pelvis movements are clinically useful

description: Additional file 2: Supplement B. Parameter Settings for all participants.
DOI: 10.6084/m9.figshare.23292066
title: Additional file 2 of Gene coexpression network during ontogeny in the yellow fever mosquito, Aedes aegypti

description: Additional file 2: Table S1. GO enrichment results of the ontogeny-specific module genes.
DOI: 10.6084/m9.figshare.23292066.v1
title: Additional file 2 of Gene coexpression network during ontogeny in the yellow fever mosquito, Aedes aegypti

description: Additional file 2: Table S1. GO enrichment results of the ontogeny-specific module genes.
DOI: 10.6084/m9.figshare.23292069
title: Additional file 3 of Gene coexpression network during ontogeny in the yellow fever mosquito, Aedes aegypti

description: Additional file 3: Table S2. KEGG enrichment results of the ontogeny-specific module genes.
DOI: 10.6084/m9.figshare.23292069.v1
title: Additional file 3 of Gene coexpression network during ontogeny in the yellow fever mosquito, Aedes aegypti

description: Additional file 3: Table S2. KEGG enrichment results of the ontogeny-specific module genes.
DOI: 10.6084/m9.figshare.23292075
title: Additional file 5 of Gene coexpression network during ontogeny in the yellow fever mosquito, Aedes aegypti

description: Additional file 5: Table S3. SRA accession of the RNA-Seq sample.
DOI: 10.6084/m9.figshare.23292075.v1
title: Additional file 5 of Gene coexpression network during ontogeny in the yellow fever mosquito, Aedes aegypti

description: Additional file 5: Table S3. SRA accession of the RNA-Seq sample.
DOI: 10.6084/m9.figshare.23292081
title: Additional file 6 of Gene coexpression network during ontogeny in the yellow fever mosquito, Aedes aegypti

description: Additional file 6: Dataset S1. TPM expression matrix of all ontogeny stage RNA-Seq sample.
DOI: 10.6084/m9.figshare.23292081.v1
title: Additional file 6 of Gene coexpression network during ontogeny in the yellow fever mosquito, Aedes aegypti

description: Additional file 6: Dataset S1. TPM expression matrix of all ontogeny stage RNA-Seq sample.
DOI: 10.6084/m9.figshare.23292084
title: Additional file 7 of Gene coexpression network during ontogeny in the yellow fever mosquito, Aedes aegypti

description: Additional file 7: Dataset S2. The functional genome annotation was annotated by eggnog-mapper software.
DOI: 10.6084/m9.figshare.23292084.v1
title: Additional file 7 of Gene coexpression network during ontogeny in the yellow fever mosquito, Aedes aegypti

description: Additional file 7: Dataset S2. The functional genome annotation was annotated by eggnog-mapper software.
DOI: 10.6084/m9.figshare.23292087
title: Additional file 8 of Gene coexpression network during ontogeny in the yellow fever mosquito, Aedes aegypti

description: Additional file 8: Table S4. qPCR quantification experiment primers of the intra-modular hub genes.
DOI: 10.6084/m9.figshare.23292087.v1
title: Additional file 8 of Gene coexpression network during ontogeny in the yellow fever mosquito, Aedes aegypti

description: Additional file 8: Table S4. qPCR quantification experiment primers of the intra-modular hub genes.
DOI: 10.6084/m9.figshare.23292116
title: Additional file 1 of Prevalence of different virulence factors and their association with antimicrobial resistance among Pseudomonas aeruginosa clinical isolates from Egypt

description: Additional file 1. Clinical source and virulence profile of the collected P. aeruginosa clinical isolates.
DOI: 10.6084/m9.figshare.23292116.v1
title: Additional file 1 of Prevalence of different virulence factors and their association with antimicrobial resistance among Pseudomonas aeruginosa clinical isolates from Egypt

description: Additional file 1. Clinical source and virulence profile of the collected P. aeruginosa clinical isolates.