cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21806237.v1
title: Impact of tuberculosis disease on human gut microbiota: a systematic review

description: This systematic review evaluates the gut microbiota (GM) status in tuberculosis (TB) patients compared to healthy volunteers due to the disease or its treatment. We conducted a systematic review of all articles published in PubMed, Web of Science, and Embase that assessed the impact of TB disease and anti-tubercular therapy (ATT) on GM from inception till January 2022 (Protocol registration number in PROSPERO: CRD42021261884). Regarding the microbial diversity indices and taxonomy, we found a significant difference in GM status between the TB and healthy control (HC) groups. We found an overabundance of Phylum <i>Proteobacteria</i> and depletion of some short-chain fatty acid-producing bacteria genera like <i>Bifidobacteria, Roseburia</i>, and <i>Ruminococcus</i> in the TB group. We found that ATT exacerbates the degree of dysbiosis caused by <i>Mycobacteria tuberculosis</i> disease. The modulation of GM in TB patients in clinical practice may serve as a promising target to reverse the dysbiosis caused. Moreover, this can optimistically change the TB treatment outcome. We expect that appropriate probiotic supplementation with antimycobacterial treatment during tuberculosis disease will help stabilize the GM throughout the treatment phase and protect the GM from dysbiosis.
DOI: 10.6084/m9.figshare.7126217
title: Additional file 2: of Linking gut microbiota, metabolic syndrome and economic status based on a population-level analysis

description: Supplementary Tables S1-S13.Â (XLSX 1996 kb)
DOI: 10.6084/m9.figshare.7126217.v1
title: Additional file 2: of Linking gut microbiota, metabolic syndrome and economic status based on a population-level analysis

description: Supplementary Tables S1-S13.Â (XLSX 1996 kb)
DOI: 10.6084/m9.figshare.7126262
title: MOESM2 of Oleaginicity of the yeast strain Saccharomyces cerevisiae D5A

description: Additional file 2: Table S1. Next-generation sequence (NGS) results of each sample for S. cerevisiae D5A and BY4741.
DOI: 10.6084/m9.figshare.7126262.v1
title: MOESM2 of Oleaginicity of the yeast strain Saccharomyces cerevisiae D5A

description: Additional file 2: Table S1. Next-generation sequence (NGS) results of each sample for S. cerevisiae D5A and BY4741.
DOI: 10.6084/m9.figshare.7126268
title: MOESM3 of Oleaginicity of the yeast strain Saccharomyces cerevisiae D5A

description: Additional file 3: Table S2. Transcriptomics profiling difference in D5A and BY4741 at different time points and nitrogen concentrations. The ratio is a log2-based value. All transcriptional differences are shown as the mean of duplicate log2-based values.
DOI: 10.6084/m9.figshare.7126268.v1
title: MOESM3 of Oleaginicity of the yeast strain Saccharomyces cerevisiae D5A

description: Additional file 3: Table S2. Transcriptomics profiling difference in D5A and BY4741 at different time points and nitrogen concentrations. The ratio is a log2-based value. All transcriptional differences are shown as the mean of duplicate log2-based values.
DOI: 10.5281/zenodo.10670406
title: Metadata - Analgesic Effects of Fisetin, Peimine, Astaxanthin, Artemisinin, Bardoxolone Methyl and 740 Y-P and Their Influence on Opioid Analgesia in a Mouse Model of Neuropathic Pain
DOI: 10.5281/zenodo.10670407
title: Metadata - Analgesic Effects of Fisetin, Peimine, Astaxanthin, Artemisinin, Bardoxolone Methyl and 740 Y-P and Their Influence on Opioid Analgesia in a Mouse Model of Neuropathic Pain
DOI: 10.6084/m9.figshare.7126274
title: MOESM4 of Oleaginicity of the yeast strain Saccharomyces cerevisiae D5A

description: Additional file 4: Table S3. Differentially expressed genes in the two strains and two nitrogen concentrations at the different time points (T1, T2, and T3). The ratio is a log2-based value. All transcriptional differences are shown as the mean of duplicate log2-based values.
DOI: 10.6084/m9.figshare.7126274.v1
title: MOESM4 of Oleaginicity of the yeast strain Saccharomyces cerevisiae D5A

description: Additional file 4: Table S3. Differentially expressed genes in the two strains and two nitrogen concentrations at the different time points (T1, T2, and T3). The ratio is a log2-based value. All transcriptional differences are shown as the mean of duplicate log2-based values.
DOI: 10.6084/m9.figshare.7126277
title: MOESM5 of Oleaginicity of the yeast strain Saccharomyces cerevisiae D5A

description: Additional file 5: Table S4. Differentially expressed genes involved in the different pathway including EMP, PPP, FA biosynthesis, TAG biosynthesis, phospholipid biosynthesis, TCA cycle, N and AA metabolism in two strains, and two nitrogen concentrations at different time points (T1, T2, and T3). The ratio is a log2-based value. All transcriptional differences are shown as the mean of duplicate log2-based values.
DOI: 10.6084/m9.figshare.7126277.v1
title: MOESM5 of Oleaginicity of the yeast strain Saccharomyces cerevisiae D5A

description: Additional file 5: Table S4. Differentially expressed genes involved in the different pathway including EMP, PPP, FA biosynthesis, TAG biosynthesis, phospholipid biosynthesis, TCA cycle, N and AA metabolism in two strains, and two nitrogen concentrations at different time points (T1, T2, and T3). The ratio is a log2-based value. All transcriptional differences are shown as the mean of duplicate log2-based values.
DOI: 10.6084/m9.figshare.17087807
title: Additional file 2 of Whole-genome analysis reveals the contribution of non-coding de novo transposon insertions to autism spectrum disorder

description: Additional file 2: Table S2: De novo insertions in ASD and controls.
DOI: 10.6084/m9.figshare.17087807.v1
title: Additional file 2 of Whole-genome analysis reveals the contribution of non-coding de novo transposon insertions to autism spectrum disorder

description: Additional file 2: Table S2: De novo insertions in ASD and controls.
DOI: 10.6084/m9.figshare.17087810
title: Additional file 3 of Whole-genome analysis reveals the contribution of non-coding de novo transposon insertions to autism spectrum disorder

description: Additional file 3: Table S7: PCR validations primers and samples.
DOI: 10.6084/m9.figshare.17087810.v1
title: Additional file 3 of Whole-genome analysis reveals the contribution of non-coding de novo transposon insertions to autism spectrum disorder

description: Additional file 3: Table S7: PCR validations primers and samples.
DOI: 10.6084/m9.figshare.17087813
title: Additional file 4 of Whole-genome analysis reveals the contribution of non-coding de novo transposon insertions to autism spectrum disorder

description: Additional file 4. Alu polymorphic and de novo TEIs for the entire cohort intervals after merging with a 40 base-pair margin.
DOI: 10.6084/m9.figshare.17087813.v1
title: Additional file 4 of Whole-genome analysis reveals the contribution of non-coding de novo transposon insertions to autism spectrum disorder

description: Additional file 4. Alu polymorphic and de novo TEIs for the entire cohort intervals after merging with a 40 base-pair margin.
DOI: 10.6084/m9.figshare.17087816
title: Additional file 5 of Whole-genome analysis reveals the contribution of non-coding de novo transposon insertions to autism spectrum disorder

description: Additional file 5. L1 polymorphic and de novo TEIs for the entire cohort intervals after merging with a 40 base-pair margin.
DOI: 10.6084/m9.figshare.17087816.v1
title: Additional file 5 of Whole-genome analysis reveals the contribution of non-coding de novo transposon insertions to autism spectrum disorder

description: Additional file 5. L1 polymorphic and de novo TEIs for the entire cohort intervals after merging with a 40 base-pair margin.
DOI: 10.6084/m9.figshare.17087822
title: Additional file 6 of Whole-genome analysis reveals the contribution of non-coding de novo transposon insertions to autism spectrum disorder

description: Additional file 6. SVA polymorphic and de novo TEIs for the entire cohort intervals after merging with a 40 base-pair margin.
DOI: 10.6084/m9.figshare.17087822.v1
title: Additional file 6 of Whole-genome analysis reveals the contribution of non-coding de novo transposon insertions to autism spectrum disorder

description: Additional file 6. SVA polymorphic and de novo TEIs for the entire cohort intervals after merging with a 40 base-pair margin.
DOI: 10.6084/m9.figshare.17087825
title: Additional file 7 of Whole-genome analysis reveals the contribution of non-coding de novo transposon insertions to autism spectrum disorder

description: Additional file 7. Alu polymorphic and de novo TEIs for unrelated parents in the cohort after merging with a 40 base-pair margin.
DOI: 10.6084/m9.figshare.12369236
title: FT-ICR-MS-combined.csv

description: FT-ICR MS data set for the experiment of Synechococcus-derived DOM addition in coastal ocean.
DOI: 10.6084/m9.figshare.17087825.v1
title: Additional file 7 of Whole-genome analysis reveals the contribution of non-coding de novo transposon insertions to autism spectrum disorder

description: Additional file 7. Alu polymorphic and de novo TEIs for unrelated parents in the cohort after merging with a 40 base-pair margin.
DOI: 10.6084/m9.figshare.17087828
title: Additional file 8 of Whole-genome analysis reveals the contribution of non-coding de novo transposon insertions to autism spectrum disorder

description: Additional file 8. L1 polymorphic and de novo TEIs for unrelated parents in the cohort after merging with a 40 base-pair margin.
DOI: 10.6084/m9.figshare.17087828.v1
title: Additional file 8 of Whole-genome analysis reveals the contribution of non-coding de novo transposon insertions to autism spectrum disorder

description: Additional file 8. L1 polymorphic and de novo TEIs for unrelated parents in the cohort after merging with a 40 base-pair margin.
DOI: 10.6084/m9.figshare.17087831
title: Additional file 9 of Whole-genome analysis reveals the contribution of non-coding de novo transposon insertions to autism spectrum disorder

description: Additional file 9. SVA polymorphic and de novo TEIs for unrelated parents in the cohort after merging with a 40 base-pair margin.
DOI: 10.6084/m9.figshare.17087831.v1
title: Additional file 9 of Whole-genome analysis reveals the contribution of non-coding de novo transposon insertions to autism spectrum disorder

description: Additional file 9. SVA polymorphic and de novo TEIs for unrelated parents in the cohort after merging with a 40 base-pair margin.
DOI: 10.11588/data/adyunn
title: Triggered contraction of self-assembled micron-scale DNA nanotube rings [Research Data]

description: Contractile rings formed from cytoskeletal filaments mediate the division of cells. Ring formation is induced by specific crosslinkers, while contraction is typically associated with motor protein activity. Here, we engineer DNA nanotubes as mimics of cytoskeletal filaments and a synthetic crosslinker based on a peptide-functionalized starPEG construct. The crosslinker induces bundling of ten to hundred individual DNA nanotubes. Importantly, the DNA nanotube bundles curve into closed micron-scale rings in a one-pot self-assembly process yielding several thousand rings per microliter. Coarse-grained molecular dynamics simulations reproduce detailed architectural properties of the DNA rings as observed by electron microscopy. Furthermore, theory and simulations predict DNA ring contraction – without motor proteins – upon increasing attraction or decreasing bending rigidity of the DNA nanotubes, yielding mechanistic insights into the parameter space relevant for efficient nanotube sliding. We experimentally realize a variation of these parameters by addition of molecular crowders or temperature increase, respectively. In agreement between simulation and experiment, we obtain ring contraction to less than half of the initial ring diameter. DNA-based contractile rings could be a future element of an artificial division machinery in synthetic cells or of contractile muscle-like materials.
DOI: 10.5281/zenodo.10409522
title: DNA Origami Raw AFM Data - NanoLocz: Image analysis platform for AFM, high-speed AFM and localization AFM

description: The data file is in the original ARIS data format as captured on a Cypher VRS1250 AFM (Oxford Instruments)
DOI: 10.5281/zenodo.10409523
title: DNA Origami Raw AFM Data - NanoLocz: Image analysis platform for AFM, high-speed AFM and localization AFM

description: The data file is in the original ARIS data format as captured on a Cypher VRS1250 AFM (Oxford Instruments)
DOI: 10.5281/zenodo.10670413
title: DNA Origami Raw AFM Data - NanoLocz: Image analysis platform for AFM, high-speed AFM and localization AFM

description: The data file is in the original ARIS data format as captured on a Cypher VRS1250 AFM (Oxford Instruments)
DOI: 10.6084/m9.figshare.17087995
title: Additional file 2 of Synergistic effects of multiple enzymes from industrial Aspergillus niger strain O1 on starch saccharification

description: Additional file 2. The results of the peptide fragments of O1-1, O1-2, O1-3 and O1-4 searched against the Uniprot database of Aspergillus niger.
DOI: 10.6084/m9.figshare.17087995.v1
title: Additional file 2 of Synergistic effects of multiple enzymes from industrial Aspergillus niger strain O1 on starch saccharification

description: Additional file 2. The results of the peptide fragments of O1-1, O1-2, O1-3 and O1-4 searched against the Uniprot database of Aspergillus niger.
DOI: 10.6084/m9.figshare.11845155
title: Energetic Electron Scattering due to Whistler Mode Chorus Waves Using Realistic Magnetic Field and Density Models in Jupiter’s Magnetosphere

description: This is the dataset created for the JGR paper 'Energetic Electron Scattering due to Whistler Mode Chorus Waves Using Realistic Magnetic Field and Density Models in Jupiter’s Magnetosphere'.
DOI: 10.6084/m9.figshare.23903781
title: Discrimination of Blood Metabolomics Profiles in Neonates with Idiopathic Polyhydramnios

description: Blood metabolites of 32 patients with IPH and 32 normal controls admitted to the Sixth Affiliated Hospital of Sun Yat-sen University between January 2017 and December 2022 were analyzed using liquid chromatography-mass spectrometry (LC-MS/MS). Orthogonal partial least squares discriminant analysis (OPLS-DA) and metabolite enrichment analyses were performed to identify the differential metabolites and metabolic pathways. SPSS statistical software and Medcalc software were used for statistical analyses.
DOI: 10.6084/m9.figshare.17088065
title: Additional file 1 of Estuarine gradients dictate spatiotemporal variations of microbiome networks in the Chesapeake Bay

description: Additional file 1: Table S1. Description of the stability metrics used in this study.
DOI: 10.6084/m9.figshare.17088065.v1
title: Additional file 1 of Estuarine gradients dictate spatiotemporal variations of microbiome networks in the Chesapeake Bay

description: Additional file 1: Table S1. Description of the stability metrics used in this study.
DOI: 10.6084/m9.figshare.21747461.v6
title: OpenCitations Meta CSV dataset of all bibliographic metadata

description: This dataset contains all the bibliographic metadata (in CSV format) included in OpenCitations Meta. In particular, each line of the CSV file defines a bibliographic resource, and includes the following information:<b>[field "id"]</b> the IDs for the document described within the line;<b>[field "title"]</b> the document's title;<b>[field "author"]</b> the authors of the document;<b>[field "pub_date"]</b> the date of publication;<b>[field "venue"]</b> information about the venue, i.e. the bibliographical resource to which the document belongs;<b>[field "volume"]</b> the volume sequence identifier (e.g. a number) to which the entity belongs;<b>[field "issue"]</b> the issuesequence identifier (e.g. a number) to which the entity belongs;<b>[field "page"]</b> the page range of the resource described in the row;<b>[field "type"]</b> the type of resource described in the row;<b>[field "publisher"]</b> the entity responsible for making the resource available;<b>[field "editor"] </b>the editors of the document.This version of the dataset contains:114,621,237 bibliographic entities352,261,027 authors and 2,527,012 editors (counted by their roles, without disambiguating individual712,128 publication venues241,931 publishersThe zipped dataset weighs 10 GB, while, when extracted, it weighs 43 GB on an NTFS filesystem.Additional information about OpenCitations Meta at official webpage.
DOI: 10.6084/m9.figshare.17088068
title: Additional file 2 of Estuarine gradients dictate spatiotemporal variations of microbiome networks in the Chesapeake Bay

description: Additional file 2: Table S2. Top 10 nodes based on abundance/degree/betweenness centrality in the network of all samples
DOI: 10.6084/m9.figshare.17088068.v1
title: Additional file 2 of Estuarine gradients dictate spatiotemporal variations of microbiome networks in the Chesapeake Bay

description: Additional file 2: Table S2. Top 10 nodes based on abundance/degree/betweenness centrality in the network of all samples
DOI: 10.6084/m9.figshare.17088071
title: Additional file 3 of Estuarine gradients dictate spatiotemporal variations of microbiome networks in the Chesapeake Bay

description: Additional file 3: Table S3. Top 10 nodes with highest abundance/degree/betweenness centrality in each season
DOI: 10.6084/m9.figshare.17088071.v1
title: Additional file 3 of Estuarine gradients dictate spatiotemporal variations of microbiome networks in the Chesapeake Bay

description: Additional file 3: Table S3. Top 10 nodes with highest abundance/degree/betweenness centrality in each season
DOI: 10.6084/m9.figshare.17088074
title: Additional file 4 of Estuarine gradients dictate spatiotemporal variations of microbiome networks in the Chesapeake Bay

description: Additional file 4: Table S4. Top 10 nodes with the highest abundance/degree/betweenness centrality in upper Bay and Lower Bay
DOI: 10.6084/m9.figshare.17088074.v1
title: Additional file 4 of Estuarine gradients dictate spatiotemporal variations of microbiome networks in the Chesapeake Bay

description: Additional file 4: Table S4. Top 10 nodes with the highest abundance/degree/betweenness centrality in upper Bay and Lower Bay
DOI: 10.6084/m9.figshare.17088077
title: Additional file 5 of Estuarine gradients dictate spatiotemporal variations of microbiome networks in the Chesapeake Bay

description: Additional file 5: Table S5. Stepwise changes of network properties with removal of top ranked 10 nodes (betweenness centrality)
DOI: 10.6084/m9.figshare.17088077.v1
title: Additional file 5 of Estuarine gradients dictate spatiotemporal variations of microbiome networks in the Chesapeake Bay

description: Additional file 5: Table S5. Stepwise changes of network properties with removal of top ranked 10 nodes (betweenness centrality)
DOI: 10.6084/m9.figshare.17088080
title: Additional file 6 of Estuarine gradients dictate spatiotemporal variations of microbiome networks in the Chesapeake Bay

description: Additional file 6: Table S6. Correspondence of microbial groups and environmental factors for structural equation model
DOI: 10.6084/m9.figshare.17088080.v1
title: Additional file 6 of Estuarine gradients dictate spatiotemporal variations of microbiome networks in the Chesapeake Bay

description: Additional file 6: Table S6. Correspondence of microbial groups and environmental factors for structural equation model
DOI: 10.6084/m9.figshare.21282426.v1
title: Additional file 3 of Floral organ transcriptome in Camellia sasanqua provided insight into stamen petaloid

description: Additional file 3: Table S3. The KEGG enrichment analysis of comparison analysis.
DOI: 10.6084/m9.figshare.21282429
title: Additional file 4 of Floral organ transcriptome in Camellia sasanqua provided insight into stamen petaloid

description: Additional file 4: Table S4. The gene description list of the model.
DOI: 10.6084/m9.figshare.21282429.v1
title: Additional file 4 of Floral organ transcriptome in Camellia sasanqua provided insight into stamen petaloid

description: Additional file 4: Table S4. The gene description list of the model.
DOI: 10.6084/m9.figshare.21282432
title: Additional file 5 of Floral organ transcriptome in Camellia sasanqua provided insight into stamen petaloid

description: Additional file 5: Table S5. The GO enrichment analysis of coexpression modules.
DOI: 10.6084/m9.figshare.21282432.v1
title: Additional file 5 of Floral organ transcriptome in Camellia sasanqua provided insight into stamen petaloid

description: Additional file 5: Table S5. The GO enrichment analysis of coexpression modules.
DOI: 10.6084/m9.figshare.21282435
title: Additional file 6 of Floral organ transcriptome in Camellia sasanqua provided insight into stamen petaloid

description: Additional file 6: Table S6. The KEGG enrichment analysis of coexpression modules.
DOI: 10.6084/m9.figshare.21282435.v1
title: Additional file 6 of Floral organ transcriptome in Camellia sasanqua provided insight into stamen petaloid

description: Additional file 6: Table S6. The KEGG enrichment analysis of coexpression modules.
DOI: 10.6084/m9.figshare.21282438
title: Additional file 7 of Floral organ transcriptome in Camellia sasanqua provided insight into stamen petaloid

description: Additional file 7: Table S7. The primer of RT-qPCR.
DOI: 10.6084/m9.figshare.21282438.v1
title: Additional file 7 of Floral organ transcriptome in Camellia sasanqua provided insight into stamen petaloid

description: Additional file 7: Table S7. The primer of RT-qPCR.
DOI: 10.6084/m9.figshare.21282420
title: Additional file 1 of Floral organ transcriptome in Camellia sasanqua provided insight into stamen petaloid

description: Additional file 1: Table S1. Summary of sequencing quality.
DOI: 10.6084/m9.figshare.21282420.v1
title: Additional file 1 of Floral organ transcriptome in Camellia sasanqua provided insight into stamen petaloid

description: Additional file 1: Table S1. Summary of sequencing quality.
DOI: 10.6084/m9.figshare.21282423
title: Additional file 2 of Floral organ transcriptome in Camellia sasanqua provided insight into stamen petaloid

description: Additional file 2: Table S2. The GO enrichment analysis of comparison analysis.
DOI: 10.6084/m9.figshare.21282423.v1
title: Additional file 2 of Floral organ transcriptome in Camellia sasanqua provided insight into stamen petaloid

description: Additional file 2: Table S2. The GO enrichment analysis of comparison analysis.
DOI: 10.6084/m9.figshare.21282426
title: Additional file 3 of Floral organ transcriptome in Camellia sasanqua provided insight into stamen petaloid

description: Additional file 3: Table S3. The KEGG enrichment analysis of comparison analysis.
DOI: 10.6084/m9.figshare.22331140
title: 2D Magnetic Heterojunction

description:  The exchange bias effect
DOI: 10.34740/kaggle/dsv/7636698
title: Global Genomic Neurofibromatosis Neoplasia