cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14444651.v1
title: Cell wall proteome profiling of a Candida albicans fluconazole-resistant strain from a Lebanese hospital patient

description: In this pilot study we employed a tandem mass spectrometry approach coupled with a bioinformatics approach to identify cell wall proteins present in a fluconazole-resistant Candida albicans hospital isolate upon drug exposure. The isolate was previously shown to have an increase in cell membrane ergosterol and cell wall chitin, alongside an increase in adhesion, but slightly attenuated in virulence. The file generated by the MALDI-TOF-TOF analyzer was searched in MASCOT Server and yielded a peptide summary report including all identified proteins. Those MALDI and MASCOT files are presented here. The unmatched peptides in the peptide summary report were also identified using BLAST search in Candida Genome Database.
DOI: 10.17632/kjntnv4pdk.1
title: Data for: Inverse identification of the acoustic pressure inside a U-shaped pipe line based on acceleration measurements

description: This zipped folder contains the measurment data used for the redaction of the manuscript number MSSP19-711 untitled “Inverse identification of the acoustic pressure inside a U-shaped pipe line based on acceleration measurements”. A "ReadMe" text file provides informations about the various data.
DOI: 10.17632/vcmr8jmmt8.1
title: Data for: Provenance shifts at the northern margin of the North China Craton and their tectonic implications: Detrital zircon records from Late Paleozoic deposits in Inner Mongolia
DOI: 10.17632/8ntw35wyv8.1
title: Data for: Parathyroid Hormone as a predictor for Chronic Obstructive Pulmonary Disease exacerbations: more than Vitamin D in COPD Bones.

description: Ethics approval of the study
DOI: 10.5281/zenodo.4699039
title: CoVaxxy Tweet IDs data set

description: A collection of Tweet IDs related to Covid-19 Vaccines, gathered from Twitter since Jan 4, 2021. Please see https://arxiv.org/abs/2101.07694 for more information.
DOI: 10.5281/zenodo.4698871
title: Zenodo Machine Learning

description: The Zenodo-ML dataset is a collection of just under 10K records from the Zenodo service for generation of digital object identifiers (DOIs) for software and associated digital resources. In human terms, this means that someone writes a codebase for their software, and links it to Zenodo so others can find and cite it. For this dataset, it means that we can find these codebases, and do the following: convert each script file into a set of 80x80 images, with characters converted to ordinal, for use with machine learning generate a file hierarchy tree for graph analysis extract complete metadata like domain, authors, and description for the software
DOI: 10.5281/zenodo.4698870
title: Zenodo Machine Learning

description: The Zenodo-ML dataset is a collection of just under 10K records from the Zenodo service for generation of digital object identifiers (DOIs) for software and associated digital resources. In human terms, this means that someone writes a codebase for their software, and links it to Zenodo so others can find and cite it. For this dataset, it means that we can find these codebases, and do the following: convert each script file into a set of 80x80 images, with characters converted to ordinal, for use with machine learning generate a file hierarchy tree for graph analysis extract complete metadata like domain, authors, and description for the software
DOI: 10.6084/m9.figshare.14406368.v1
title: An open label phase Ⅰ/Ⅱa clinical trial of 11β-HSD1 inhibitor for overt and subclinical Cushing’s syndrome; Supplementary materials

description: Supplementary materials
DOI: 10.6084/m9.figshare.14400926.v1
title: Skill combination with an English skills element: Is English really necessary for Indonesian IT specialists?

description: These data consist of a data report, transcriptions of interviews with Indonesian IT specialists, employers, and a higher education institution. These also include the teaching documents including syllabus, lesson plans, and a handout.
DOI: 10.6084/m9.figshare.14444798
title: Dataset 4

description: The DNA-seq data of AM RILs<br>
DOI: 10.6084/m9.figshare.14444798.v2
title: Dataset 4

description: The DNA-seq data of AM RILs<br>
DOI: 10.6084/m9.figshare.14444798.v1
title: The DNA-seq data of AM RILs

description: The DNA-seq data of AM RILs<br>
DOI: 10.6084/m9.figshare.14400926
title: Skill combination with an English skills element: Is English really necessary for Indonesian IT specialists?

description: These data consist of a data report, transcriptions of interviews with Indonesian IT specialists, employers, and a higher education institution. These also include the teaching documents including syllabus, lesson plans, and a handout.
DOI: 10.6084/m9.figshare.14400926.v2
title: Skill combination with an English skills element: Is English really necessary for Indonesian IT specialists?

description: These data consist of a data report, transcriptions of interviews with Indonesian IT specialists, employers, and a higher education institution. These also include the teaching documents including syllabus, lesson plans, and a handout.
DOI: 10.11577/1777827
title: Room-Temperature Structure of Xylitol-Bound Glucose Isomerase by Serial Crystallography: Xylitol Binding in the M1 Site Induces Release of Metal Bound in the M2 Site
DOI: 10.11577/1777828
title: Room-Temperature Structure of Xylitol-Bound Glucose Isomerase by Serial Crystallography: Xylitol Binding in the M1 Site Induces Release of Metal Bound in the M2 Site
DOI: 10.6084/m9.figshare.14444850
title: Additional file 4 of Disease-associated DNA methylation signatures in esophageal biopsies of children diagnosed with Eosinophilic Esophagitis

description: Additional file 4. Supplementary Table 2: List of the top 25 differentially methylated CpGs between non-EoE healthy controls and EoE patients at diagnosis (T0).
DOI: 10.6084/m9.figshare.14444850.v1
title: Additional file 4 of Disease-associated DNA methylation signatures in esophageal biopsies of children diagnosed with Eosinophilic Esophagitis

description: Additional file 4. Supplementary Table 2: List of the top 25 differentially methylated CpGs between non-EoE healthy controls and EoE patients at diagnosis (T0).
DOI: 10.6084/m9.figshare.14444868.v1
title: Additional file 10 of Population and subspecies diversity at mouse centromere satellites

description: Additional file 10: Table S1. Results from TukeyHSD post-hoc tests comparing the distributions of minor and major satellite 31-mer frequencies in inbred strains and wild-caught mice.
DOI: 10.6084/m9.figshare.14444871
title: Additional file 11 of Population and subspecies diversity at mouse centromere satellites

description: Additional file 11: Table S2. The frequency of relaxed edit distance centromere satellite 31-mers in the mouse reference (mm10) genome.
DOI: 10.6084/m9.figshare.14444874
title: Additional file 12 of Population and subspecies diversity at mouse centromere satellites

description: Additional file 12: Table S3. House mouse (Mus) whole genome sequence samples. Numbers represented in the data source column correspond to the following data sources: (1) The Mouse Genomes Project Release 1502/REL-1502 [32]; (2) Whole genome sequencing of Mus caroli and Mus pahari [31]; (3) Wild Mouse Genomes Project [33]. *We excluded Mouse Genomes Project libraries with read length
DOI: 10.6084/m9.figshare.14444868
title: Additional file 10 of Population and subspecies diversity at mouse centromere satellites

description: Additional file 10: Table S1. Results from TukeyHSD post-hoc tests comparing the distributions of minor and major satellite 31-mer frequencies in inbred strains and wild-caught mice.
DOI: 10.6084/m9.figshare.14444877
title: Additional file 13 of Population and subspecies diversity at mouse centromere satellites

description: Additional file 13: Table S4. Sequences and primers used for FISH experiments.
DOI: 10.6084/m9.figshare.14444877.v1
title: Additional file 13 of Population and subspecies diversity at mouse centromere satellites

description: Additional file 13: Table S4. Sequences and primers used for FISH experiments.
DOI: 10.6084/m9.figshare.14444874.v1
title: Additional file 12 of Population and subspecies diversity at mouse centromere satellites

description: Additional file 12: Table S3. House mouse (Mus) whole genome sequence samples. Numbers represented in the data source column correspond to the following data sources: (1) The Mouse Genomes Project Release 1502/REL-1502 [32]; (2) Whole genome sequencing of Mus caroli and Mus pahari [31]; (3) Wild Mouse Genomes Project [33]. *We excluded Mouse Genomes Project libraries with read length
DOI: 10.6084/m9.figshare.14444871.v1
title: Additional file 11 of Population and subspecies diversity at mouse centromere satellites

description: Additional file 11: Table S2. The frequency of relaxed edit distance centromere satellite 31-mers in the mouse reference (mm10) genome.
DOI: 10.6084/m9.figshare.14444932
title: Additional file 8 of Unique adaptations in neonatal hepatic transcriptome, nutrient signaling, and one-carbon metabolism in response to feeding ethyl cellulose rumen-protected methionine during late-gestation in Holstein cows

description: Additional File 8:. Gene/pathway-based network visualization obtained with Pathway Network Visualizer (PANEV) tool, considering the entire list of differentially expressed genes (FDR ≤ 0.10). The network was created taking into account the main pathways of interest involved in ‘Glycolysis/gluconeogenesis’, ‘Lipid metabolism’, ‘Amino acid metabolism’ and ‘Immune system’, along with the list of their interconnected (i.e. up- and downstream) pathways based on information retrieved on KEGG pathway database.
DOI: 10.6084/m9.figshare.14444932.v1
title: Additional file 8 of Unique adaptations in neonatal hepatic transcriptome, nutrient signaling, and one-carbon metabolism in response to feeding ethyl cellulose rumen-protected methionine during late-gestation in Holstein cows

description: Additional File 8:. Gene/pathway-based network visualization obtained with Pathway Network Visualizer (PANEV) tool, considering the entire list of differentially expressed genes (FDR ≤ 0.10). The network was created taking into account the main pathways of interest involved in ‘Glycolysis/gluconeogenesis’, ‘Lipid metabolism’, ‘Amino acid metabolism’ and ‘Immune system’, along with the list of their interconnected (i.e. up- and downstream) pathways based on information retrieved on KEGG pathway database.
DOI: 10.6084/m9.figshare.14444935
title: Additional file 9 of Unique adaptations in neonatal hepatic transcriptome, nutrient signaling, and one-carbon metabolism in response to feeding ethyl cellulose rumen-protected methionine during late-gestation in Holstein cows

description: Additional File 9:. Transcription Factor/Gene/pathway-based network visualization matching the outcomes from Pathway Network Visualizer (PANEV) tool with the main results obtained by ChIP-X Enrichment Analysis 3 (ChEA3) software.
DOI: 10.6084/m9.figshare.14444935.v1
title: Additional file 9 of Unique adaptations in neonatal hepatic transcriptome, nutrient signaling, and one-carbon metabolism in response to feeding ethyl cellulose rumen-protected methionine during late-gestation in Holstein cows

description: Additional File 9:. Transcription Factor/Gene/pathway-based network visualization matching the outcomes from Pathway Network Visualizer (PANEV) tool with the main results obtained by ChIP-X Enrichment Analysis 3 (ChEA3) software.
DOI: 10.6084/m9.figshare.14444949.v1
title: Additional file 1 of Classification of endonasal HHT lesions using digital microscopy

description: Additional file 1. Raw data and patients characteristics are available by the authors.
DOI: 10.6084/m9.figshare.14444949
title: Additional file 1 of Classification of endonasal HHT lesions using digital microscopy

description: Additional file 1. Raw data and patients characteristics are available by the authors.
DOI: 10.6084/m9.figshare.14444971.v1
title: Additional file 1 of Awareness of predatory journals and open access publishing among orthopaedic and trauma surgeons – results from an online survey in Germany

description: Additional file 1: Supplement 1. Relation between the number of papers published and the number of e-mail requests received per week. Supplement 2. Results of the survey as a function of knowledge about Predatory Journals
DOI: 10.6084/m9.figshare.14444971
title: Additional file 1 of Awareness of predatory journals and open access publishing among orthopaedic and trauma surgeons – results from an online survey in Germany

description: Additional file 1: Supplement 1. Relation between the number of papers published and the number of e-mail requests received per week. Supplement 2. Results of the survey as a function of knowledge about Predatory Journals
DOI: 10.6084/m9.figshare.14444967
title: Additional file 1 of Genome-wide identification of heat shock factors and heat shock proteins in response to UV and high intensity light stress in lettuce

description: Additional file 1: Table S1. List of LsHsf and LsHsp genes and their physicochemical properties.
DOI: 10.6084/m9.figshare.14444967.v1
title: Additional file 1 of Genome-wide identification of heat shock factors and heat shock proteins in response to UV and high intensity light stress in lettuce

description: Additional file 1: Table S1. List of LsHsf and LsHsp genes and their physicochemical properties.
DOI: 10.6084/m9.figshare.14444970
title: Additional file 2 of Genome-wide identification of heat shock factors and heat shock proteins in response to UV and high intensity light stress in lettuce

description: Additional file 2: Table S2. dNdS ratio between Lettuce genes and Arabidopsis homologs.
DOI: 10.6084/m9.figshare.14444970.v1
title: Additional file 2 of Genome-wide identification of heat shock factors and heat shock proteins in response to UV and high intensity light stress in lettuce

description: Additional file 2: Table S2. dNdS ratio between Lettuce genes and Arabidopsis homologs.
DOI: 10.6084/m9.figshare.14444973
title: Additional file 3 of Genome-wide identification of heat shock factors and heat shock proteins in response to UV and high intensity light stress in lettuce

description: Additional file 3: Table S3. Orthogroups among Hsfs and Hsps genes in A. thaliana and L. sativa.
DOI: 10.6084/m9.figshare.14444976
title: Additional file 4 of Genome-wide identification of heat shock factors and heat shock proteins in response to UV and high intensity light stress in lettuce

description: Additional file 4: Table S4. Multiple EM for Motif Elicitation (MEME) analysis of each gene family.
DOI: 10.6084/m9.figshare.14444976.v1
title: Additional file 4 of Genome-wide identification of heat shock factors and heat shock proteins in response to UV and high intensity light stress in lettuce

description: Additional file 4: Table S4. Multiple EM for Motif Elicitation (MEME) analysis of each gene family.
DOI: 10.6084/m9.figshare.14444979
title: Additional file 5 of Genome-wide identification of heat shock factors and heat shock proteins in response to UV and high intensity light stress in lettuce

description: Additional file 5: Table S5. dS peaks calculated using the γ-MYN method.
DOI: 10.6084/m9.figshare.14444982
title: Additional file 6 of Genome-wide identification of heat shock factors and heat shock proteins in response to UV and high intensity light stress in lettuce

description: Additional file 6: Table S6. Tandem and segmental duplication of lettuce Hsf and Hsp genes.
DOI: 10.6084/m9.figshare.14444985
title: Additional file 7 of Genome-wide identification of heat shock factors and heat shock proteins in response to UV and high intensity light stress in lettuce

description: Additional file 7: Table S7. Cis-regulatory element analysis present in 2-kb promoter regions of LsHsf and LsHsp genes.
DOI: 10.6084/m9.figshare.14444973.v1
title: Additional file 3 of Genome-wide identification of heat shock factors and heat shock proteins in response to UV and high intensity light stress in lettuce

description: Additional file 3: Table S3. Orthogroups among Hsfs and Hsps genes in A. thaliana and L. sativa.
DOI: 10.6084/m9.figshare.14444979.v1
title: Additional file 5 of Genome-wide identification of heat shock factors and heat shock proteins in response to UV and high intensity light stress in lettuce

description: Additional file 5: Table S5. dS peaks calculated using the γ-MYN method.
DOI: 10.6084/m9.figshare.14444982.v1
title: Additional file 6 of Genome-wide identification of heat shock factors and heat shock proteins in response to UV and high intensity light stress in lettuce

description: Additional file 6: Table S6. Tandem and segmental duplication of lettuce Hsf and Hsp genes.
DOI: 10.6084/m9.figshare.14444985.v1
title: Additional file 7 of Genome-wide identification of heat shock factors and heat shock proteins in response to UV and high intensity light stress in lettuce

description: Additional file 7: Table S7. Cis-regulatory element analysis present in 2-kb promoter regions of LsHsf and LsHsp genes.
DOI: 10.6084/m9.figshare.14444988.v1
title: Additional file 8 of Genome-wide identification of heat shock factors and heat shock proteins in response to UV and high intensity light stress in lettuce

description: Additional file 8: Table S8. List of primers used in RT-qPCR analysis.
DOI: 10.6084/m9.figshare.14444988
title: Additional file 8 of Genome-wide identification of heat shock factors and heat shock proteins in response to UV and high intensity light stress in lettuce

description: Additional file 8: Table S8. List of primers used in RT-qPCR analysis.
DOI: 10.6084/m9.figshare.14445049
title: Additional file 2 of Multi-omics analysis provides insights into lignocellulosic biomass degradation by Laetiporus sulphureus ATCC 52600

description: Additional file 2: Table S1. Main genes involved in brown-rot wood decay identified in L. sulphureus ATCC 52600 genome. Table S2. Differential expression of CAZymes in the transcriptome of L. sulphureus ATCC 52600. Table S3. Proteins identified with statistical significance in the exoproteomes of L. sulphureus ATCC 52600 cultivated on different substrates.
DOI: 10.6084/m9.figshare.14445049.v1
title: Additional file 2 of Multi-omics analysis provides insights into lignocellulosic biomass degradation by Laetiporus sulphureus ATCC 52600

description: Additional file 2: Table S1. Main genes involved in brown-rot wood decay identified in L. sulphureus ATCC 52600 genome. Table S2. Differential expression of CAZymes in the transcriptome of L. sulphureus ATCC 52600. Table S3. Proteins identified with statistical significance in the exoproteomes of L. sulphureus ATCC 52600 cultivated on different substrates.
DOI: 10.6084/m9.figshare.14445096
title: Additional file 2 of Genetic basis of negative heterosis for growth traits in chickens revealed by genome-wide gene expression pattern analysis

description: Additional file 2: Table S1. Descriptive statistics for body weight of females and males from hatch to 8 weeks of age. Table S2. Descriptive statistics for the left shank and sternum length of females and males during the experiment. Table S3. Summary statistics for transcriptome sequencing data. Table S4. Classification of different expression patterns of genes. Table S5. Descriptive statistics for heterosis of the length of shank and sternum for females and males during the experiment. Table S6. Heterosis of carcass performance for F1 progenies at 6 weeks of age. Table S7. Gene expression patterns of differentially expressed genes in reciprocal crosses. Table S8. GO terms of the top 20 overdominant genes in the RC and CR groups. Table S9. Detailed information on the overlap of nonadditive genes in RC and CR groups.
DOI: 10.6084/m9.figshare.14445096.v1
title: Additional file 2 of Genetic basis of negative heterosis for growth traits in chickens revealed by genome-wide gene expression pattern analysis

description: Additional file 2: Table S1. Descriptive statistics for body weight of females and males from hatch to 8 weeks of age. Table S2. Descriptive statistics for the left shank and sternum length of females and males during the experiment. Table S3. Summary statistics for transcriptome sequencing data. Table S4. Classification of different expression patterns of genes. Table S5. Descriptive statistics for heterosis of the length of shank and sternum for females and males during the experiment. Table S6. Heterosis of carcass performance for F1 progenies at 6 weeks of age. Table S7. Gene expression patterns of differentially expressed genes in reciprocal crosses. Table S8. GO terms of the top 20 overdominant genes in the RC and CR groups. Table S9. Detailed information on the overlap of nonadditive genes in RC and CR groups.
DOI: 10.6084/m9.figshare.14445099.v1
title: Additional file 1 of Association between menopausal hormone therapy, mammographic density and breast cancer risk: results from the E3N cohort study

description: Additional file 1:. Supplementary Table S1. Characteristics of the study sample in comparison with the whole E3N cohort. Supplementary Table S2. Values of the Akaike Information Criterion (AIC) for regression models with the square root of percent mammographic density (PMD), dense area (DA) and non-dense area (NDA) as polynomial functions of duration of MHT use and time since last use. Supplementary Table S3. Mediation analysis of the effect of ever versus never use (reference category) of menopausal hormone therapy on breast cancer risk, overall and by ER and PR status. The table reports the OR and 95% confidence intervals from the unconditional logistic models adjusted for age at mammogram and the matching variables (reference age, year of birth and menopausal status at baseline).
DOI: 10.6084/m9.figshare.14445099
title: Additional file 1 of Association between menopausal hormone therapy, mammographic density and breast cancer risk: results from the E3N cohort study

description: Additional file 1:. Supplementary Table S1. Characteristics of the study sample in comparison with the whole E3N cohort. Supplementary Table S2. Values of the Akaike Information Criterion (AIC) for regression models with the square root of percent mammographic density (PMD), dense area (DA) and non-dense area (NDA) as polynomial functions of duration of MHT use and time since last use. Supplementary Table S3. Mediation analysis of the effect of ever versus never use (reference category) of menopausal hormone therapy on breast cancer risk, overall and by ER and PR status. The table reports the OR and 95% confidence intervals from the unconditional logistic models adjusted for age at mammogram and the matching variables (reference age, year of birth and menopausal status at baseline).
DOI: 10.6084/m9.figshare.14445136
title: Additional file 2 of A demonstration of using formal consensus methods within guideline development; a case study

description: Additional file 2. Statements: Tables to show the generated statements for both round 1 and round 2 of consensus, plus example excluded statements. Used for the evidence review “General Principles” Neonatal parenteral nutrition NICE Guideline [NG154] 2020.
DOI: 10.6084/m9.figshare.14445136.v1
title: Additional file 2 of A demonstration of using formal consensus methods within guideline development; a case study

description: Additional file 2. Statements: Tables to show the generated statements for both round 1 and round 2 of consensus, plus example excluded statements. Used for the evidence review “General Principles” Neonatal parenteral nutrition NICE Guideline [NG154] 2020.
DOI: 10.5517/ccdc.csd.cc26g4wq
title: CCDC 2039393: Experimental Crystal Structure Determination

description: Related Article: Anna Garbagnati, Michael Seidl, Gábor Balázs, Manfred Scheer|2021|Inorg.Chem.|60|5163|doi:10.1021/acs.inorgchem.1c00176
DOI: 10.5517/ccdc.csd.cc26g4xr
title: CCDC 2039394: Experimental Crystal Structure Determination

description: Related Article: Anna Garbagnati, Michael Seidl, Gábor Balázs, Manfred Scheer|2021|Inorg.Chem.|60|5163|doi:10.1021/acs.inorgchem.1c00176