cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.c.3681889_d9
title: Additional file 8: Table S4. of 
                     UGT74S1 is the key player in controlling secoisolariciresinol diglucoside (SDG) formation in flax

description: Pairwise matrix of flax UGT divergence time in MYA for 31 genes clustered in group “L” of the phylogenetic tree. The UGTs found in Lus10017825 and Lus10006351/Lus1006352 subclades are highlighted in green. The most recent and ancient divergence times are highlighted in blue and yellow, respectively. (XLSX 15 kb)
DOI: 10.6084/m9.figshare.c.3681922_d3.v1
title: MOESM2 of Expression patterns of Passiflora edulis APETALA1/FRUITFULL homologues shed light onto tendril and corona identities

description: Additional file 2. Alignments of MADS-box proteins.
DOI: 10.6084/m9.figshare.c.3681922_d3
title: MOESM2 of Expression patterns of Passiflora edulis APETALA1/FRUITFULL homologues shed light onto tendril and corona identities

description: Additional file 2. Alignments of MADS-box proteins.
DOI: 10.6084/m9.figshare.c.3681937_d1
title: Additional file 2: of Classifying kinase conformations using a machine learning approach

description: Machine learning dataset. This file contains the measured ÎŚ, Î¨, Ď 1, and pseudo-dihedral angles used in the analysis. (ZIP 15492 kb)
DOI: 10.6084/m9.figshare.c.3683083_d2
title: Additional file 2: of Diversity analysis of cotton (Gossypium hirsutum L.) germplasm using the CottonSNP63K Array

description: List of Gossypium samples genotyped for SNP diversity analyses. The table includes information for seed source, improved/wild classification, assigned categories for improved breeding regions, assigned categories for wild race types, availability of SSR genotypes for SNP-SSR comparison, and values for seed oil, protein, and seed index for samples used in GWAS analysis. In addition, for each sample, the coordinates of the first two MDS dimensions are listed for Figs. 3 and 4a, b. Five samples are included here that were identified as outliers and not used in the SNP analysis. Siokra 104–90 was not a cultivar developed in Australia (I. Wilson, personal communication). It may be a mislabeling of Siokra 1–4/649 which is actually just Siokra 1–4. (XLSX 97 kb)
DOI: 10.15468/dl.rwpwxg
title: Occurrence Download

description: A dataset containing 219 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Beringraja binoculata (Girard, 1855)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 219 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038302-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f7p53j
title: Occurrence Download

description: A dataset containing 1995 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Monitoreo y morfometría de la avifauna de la Universidad del Valle 2011-2012"
 ]
}

 The dataset includes 1995 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038303-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.c.3683083_d3.v1
title: Additional file 4: of Diversity analysis of cotton (Gossypium hirsutum L.) germplasm using the CottonSNP63K Array

description: Distribution of SNP minor allele frequency across groups of germplasm. Categories of minor allele frequency are used to show the relative polymorphism of SNPs within a set of germplasm. The values shown are the fraction of all SNPs within Gossypium spp., G. hirsutum, cultivated and wild types of G. hirsutum, US and non-US cultivated types, and cultivated types within US breeding regions. (XLSX 16Â kb)
DOI: 10.6084/m9.figshare.c.3683083_d3
title: Additional file 4: of Diversity analysis of cotton (Gossypium hirsutum L.) germplasm using the CottonSNP63K Array

description: Distribution of SNP minor allele frequency across groups of germplasm. Categories of minor allele frequency are used to show the relative polymorphism of SNPs within a set of germplasm. The values shown are the fraction of all SNPs within Gossypium spp., G. hirsutum, cultivated and wild types of G. hirsutum, US and non-US cultivated types, and cultivated types within US breeding regions. (XLSX 16Â kb)
DOI: 10.6084/m9.figshare.c.3683068_d6.v1
title: Additional file 3: Table S2. of Genome-wide DNA methylation profile identified a unique set of differentially methylated immune genes in oral squamous cell carcinoma patients in India

description: Clinical and demographic charecteristics of the TCGA samples included in this study. Table S3. Hazard ratio estimated in cox model based on death due to oral cancer by age, stage and node involvement. (XLSX 54 kb)
DOI: 10.6084/m9.figshare.c.3683068_d6
title: Additional file 3: Table S2. of Genome-wide DNA methylation profile identified a unique set of differentially methylated immune genes in oral squamous cell carcinoma patients in India

description: Clinical and demographic charecteristics of the TCGA samples included in this study. Table S3. Hazard ratio estimated in cox model based on death due to oral cancer by age, stage and node involvement. (XLSX 54 kb)
DOI: 10.6084/m9.figshare.28050476
title: Evaluation Scores Dataset: LLM and Human Assessment of Halal Tourism Websites for Knowledge Graph Construction

description: This dataset contains the raw evaluation scores used in the research paper "Enhancing Knowledge Graph Construction with Automated Source Evaluation Using Large Language Models" published in the Journal of Universal Computer Science (2024). The data represents comparative evaluations of Halal tourism websites in Japan, assessed by both Large Language Models (LLMs) and human experts.The dataset includes:LLM evaluation scores across multiple criteria (credibility, relevance, content quality, coverage, comprehensiveness, and accessibility) for four Halal tourism websites, using various LLM models including GPT-3.5-turbo, GPT-4, Google Gemini Pro, and Mixtral-8x7B-Instruct-v0.1Human expert evaluation scores from 22 respondents using the same criteria frameworkThese evaluations were conducted using a weighted criteria system (credibility: 30%, relevance: 24%, content quality: 21%, coverage: 8%, comprehensiveness: 8%, accessibility: 9%) to assess the suitability of websites as knowledge sources for constructing domain-specific knowledge graphs.The data underpins the comparative analysis between LLM and human evaluations, demonstrating the effectiveness of automated source evaluation in knowledge graph construction. This dataset can be valuable for researchers studying automated website evaluation, knowledge graph construction, or the application of LLMs in quality assessment tasks.
DOI: 10.6084/m9.figshare.c.3683275_d1
title: Additional file 1: Figure S1. of Plug-in-Gait calculation of the knee adduction moment in people with knee osteoarthritis during shod walking: comparison of two different foot marker models

description: Description: Multiple figures - supplementary limits of agreement plots for secondary outcome measures. Bland Altman plots and the 95% limits of agreement for the (A) peak knee flexion moment, (B) peak knee flexion in loading response, (C) peak knee extension in stance, (D) peak knee adduction in stance, (E) peak internal rotation in stance, (F) stance duration, (G) stride length, (H) cadence, (I) velocity and (J) base of support. The mean difference between conditions is shown on the Y-axis and the standard deviation of the difference is shown on the X-axis. Regression coefficient of proportional bias in data falling above or below the mean difference is shown inset. (ZIP 221 kb)
DOI: 10.6084/m9.figshare.c.3684190_d1.v1
title: Additional file 1: of Aortic calcification burden predicts deterioration of renal function after radical nephrectomy

description: Dataset-S1, Simple data set. Simple data set is available in supplemental file (Dataset S1, MS Excel). Mean (± standard deviation) and median (interquartile range) age were 63 ± 13 and 65 (55–73) years old, respectively. Median height (cm) and body weight (kg) were 161 (155–167) and 63 (54–72), respectively. (XLSX 32 kb)
DOI: 10.6084/m9.figshare.c.3684190_d1
title: Additional file 1: of Aortic calcification burden predicts deterioration of renal function after radical nephrectomy

description: Dataset-S1, Simple data set. Simple data set is available in supplemental file (Dataset S1, MS Excel). Mean (± standard deviation) and median (interquartile range) age were 63 ± 13 and 65 (55–73) years old, respectively. Median height (cm) and body weight (kg) were 161 (155–167) and 63 (54–72), respectively. (XLSX 32 kb)
DOI: 10.15468/dl.wdvmgq
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Beringraja inornata (Jordan & Gilbert, 1881)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 17 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038304-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.c.3684217_d6.v1
title: Additional file 6: Table S2. of A machine learning classifier trained on cancer transcriptomes detects NF1 inactivation signal in glioblastoma

description: Ranked genes contributing greater than two standard deviations to ensemble classifier. (XLSX 27Â kb)
DOI: 10.6084/m9.figshare.c.3684217_d6
title: Additional file 6: Table S2. of A machine learning classifier trained on cancer transcriptomes detects NF1 inactivation signal in glioblastoma

description: Ranked genes contributing greater than two standard deviations to ensemble classifier. (XLSX 27Â kb)
DOI: 10.5066/p18wwjhu
title: Estimated Streamflow Using Satellite Data for Selected Rivers in Alaska

description: This dataset provides estimated Remote Sensing Streamflow (RSQ) data at selected river reaches in Alaska. Reach-specific relations between satellite-derived water-surface elevation data and dynamic surface water extent data were used with a modified form of the Manning's streamflow equation to estimate streamflows. The streamflow estimates were used to create rating tables that define the relation between discharge and satellite-observed water-surface elevation. The streamflow estimates in the gage_data.csv files are derived from these rating tables, interpolated using a polynomial regression equation. Data are organized in child items named for each river reach. Reach-specific details are provided in a README file contained in each child item as a Portable Document Format (PDF).
DOI: 10.6084/m9.figshare.c.3684247_d1
title: Additional file 2: Table S1. of Pathogenic variant burden in the ExAC database: an empirical approach to evaluating population data for clinical variant interpretation

description: List of the all NMDpositive variants with allele frequencies greater than 0.01% in the set of genes described in TableÂ 2. Known and suspected founder mutations are indicated. PCD primary ciliary dyskinesia. (XLSX 48 kb)
DOI: 10.6084/m9.figshare.c.3684247_d2
title: Additional file 3: Table S2. of Pathogenic variant burden in the ExAC database: an empirical approach to evaluating population data for clinical variant interpretation

description: Frequencies of NMDpositive variants in gain-of-function arrhythmia/cardiomyopathy genes in ExAC. (XLSX 31 kb)
DOI: 10.6084/m9.figshare.c.3684247_d2.v1
title: Additional file 3: Table S2. of Pathogenic variant burden in the ExAC database: an empirical approach to evaluating population data for clinical variant interpretation

description: Frequencies of NMDpositive variants in gain-of-function arrhythmia/cardiomyopathy genes in ExAC. (XLSX 31 kb)
DOI: 10.6084/m9.figshare.c.3685231_d1.v1
title: MOESM1 of Transcriptome and metabolome analysis of liver and kidneys of rats chronically fed NK603 Roundup-tolerant genetically modified maize

description: Additional file 1: Table S1. Raw Data of the metabolome analysis. Raw peak intensity values are indicated for each of the 692 and 673 metabolites respectively identified inÂ  kidney and liver tissues.
DOI: 10.6084/m9.figshare.c.3685243_d1.v1
title: Additional file 1: of Possible sexually dimorphic role of miRNA and other sncRNA in ASD brain

description: Supplementary Data Tables. Table S1. sncRNA differentially expressed in ASD-STS vs CTRL-STS. Table S2. sncRNA differentially expressed in ASD-PAC vs CTRL-PAC. Table S3. Female (F) ASD Regional Analysis. F_ASD-STS vs F_ASD-PAC. Table S4. Female (F) controls (CTRL) regional analysis. F_CTRL-STS vs F_CTRL-PAC. Table S5. Male (M) ASD regional analysis. M_ASD-STS vs M_ASD-PAC. Table S6. Male (M) controls (CTRL) regional analysis. M_CTRL-STS vs M_CTRL-PAC. Table S7. Summary of putative target analyses. Table S8. Pathway analysis of putative targets of the mature miRNA from the PAC analysis in females. Table S9. Pathway analysis of putative targets of the mature miRNA from the PAC analysis in males. Table S10. Pathway analysis of putative targets of the mature miRNA from the STS analysis in females. Table S11. 227 common targets between female and male regional analyses. Table S12. Pathway analysis of putative targets of the mature miRNA from the female regional analysis. Table S13. Pathway analysis of putative targets of the mature miRNA from the male regional analysis. Table S14. Pathway analysis of putative targets of the mature miRNA from the female regional analysis: immune pathways. Table S15. Pathway analysis of putative targets of the mature miRNA from the male regional analysis: immune pathways. Table S16. Pathway analysis of putative targets of the mature miRNA from the female regional analysis: Neurotransmitter and other nervous system signaling pathways. Table S17. Pathway analysis of putative targets of the mature miRNA from the male regional analysis: neurotransmitter and other nervous system signaling pathways. Table S18. Pathway overlapping between our male regional analysis and the male-enriched pathways from Ziats and Rennert (Ref 15). Table S19. Seventy-four ASD-implicated genes amongst the 1382 putative targets of the miRNAs from the female regional analysis. Table S20. Canonical pathway enriched in the 74 ASD-implicated genes from the predicted targets in the female regional analysis Table S21. Targets overlapping between our analysis and the sexually dimorphic mRNA from Werling et al, Nature Communications, 2016; Supplementary Material: ncomms10717-s2. Table S22. Pathway overlapping between our male and female regional analysis and pathways were derived based on combined sexually dimorphic mRNAs from Werling et al, Nature Communications, 2016; Supplementary Material: ncomms10717-s2. (XLSX 130Â kb)
DOI: 10.6084/m9.figshare.c.3685231_d1
title: MOESM1 of Transcriptome and metabolome analysis of liver and kidneys of rats chronically fed NK603 Roundup-tolerant genetically modified maize

description: Additional file 1: Table S1. Raw Data of the metabolome analysis. Raw peak intensity values are indicated for each of the 692 and 673 metabolites respectively identified inÂ  kidney and liver tissues.
DOI: 10.6084/m9.figshare.c.3685243_d1
title: Additional file 1: of Possible sexually dimorphic role of miRNA and other sncRNA in ASD brain

description: Supplementary Data Tables. Table S1. sncRNA differentially expressed in ASD-STS vs CTRL-STS. Table S2. sncRNA differentially expressed in ASD-PAC vs CTRL-PAC. Table S3. Female (F) ASD Regional Analysis. F_ASD-STS vs F_ASD-PAC. Table S4. Female (F) controls (CTRL) regional analysis. F_CTRL-STS vs F_CTRL-PAC. Table S5. Male (M) ASD regional analysis. M_ASD-STS vs M_ASD-PAC. Table S6. Male (M) controls (CTRL) regional analysis. M_CTRL-STS vs M_CTRL-PAC. Table S7. Summary of putative target analyses. Table S8. Pathway analysis of putative targets of the mature miRNA from the PAC analysis in females. Table S9. Pathway analysis of putative targets of the mature miRNA from the PAC analysis in males. Table S10. Pathway analysis of putative targets of the mature miRNA from the STS analysis in females. Table S11. 227 common targets between female and male regional analyses. Table S12. Pathway analysis of putative targets of the mature miRNA from the female regional analysis. Table S13. Pathway analysis of putative targets of the mature miRNA from the male regional analysis. Table S14. Pathway analysis of putative targets of the mature miRNA from the female regional analysis: immune pathways. Table S15. Pathway analysis of putative targets of the mature miRNA from the male regional analysis: immune pathways. Table S16. Pathway analysis of putative targets of the mature miRNA from the female regional analysis: Neurotransmitter and other nervous system signaling pathways. Table S17. Pathway analysis of putative targets of the mature miRNA from the male regional analysis: neurotransmitter and other nervous system signaling pathways. Table S18. Pathway overlapping between our male regional analysis and the male-enriched pathways from Ziats and Rennert (Ref 15). Table S19. Seventy-four ASD-implicated genes amongst the 1382 putative targets of the miRNAs from the female regional analysis. Table S20. Canonical pathway enriched in the 74 ASD-implicated genes from the predicted targets in the female regional analysis Table S21. Targets overlapping between our analysis and the sexually dimorphic mRNA from Werling et al, Nature Communications, 2016; Supplementary Material: ncomms10717-s2. Table S22. Pathway overlapping between our male and female regional analysis and pathways were derived based on combined sexually dimorphic mRNAs from Werling et al, Nature Communications, 2016; Supplementary Material: ncomms10717-s2. (XLSX 130Â kb)
DOI: 10.15468/dl.3z9fdx
title: Occurrence Download

description: A dataset containing 194 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Beringraja rhina (Jordan & Gilbert, 1880)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 194 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038305-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.c.3685279_d8.v1
title: Additional file 4: of Algorithm and software to automatically identify latency and amplitude features of local field potentials recorded in electrophysiological investigation

description: The main script that visualizes the smoothing of the signal, its first/s time-derivative, and the other features of interest (maximum, onset, inflection point). All results are saved in an .xls file (each sheet contains the results relative to a particular depth) and in a .mat file. (M 6Â kb)
DOI: 10.6084/m9.figshare.c.3685291_d5
title: Additional file 3: Table S3. of Melanoma genome evolution across species

description: ZMEL1 MiSeq validation calls. This file contains all of the mutation calls for the MiSeq validation run of the ZMEL1 line. (XLSX 178Â kb)
DOI: 10.6084/m9.figshare.c.3685279_d8
title: Additional file 4: of Algorithm and software to automatically identify latency and amplitude features of local field potentials recorded in electrophysiological investigation

description: The main script that visualizes the smoothing of the signal, its first/s time-derivative, and the other features of interest (maximum, onset, inflection point). All results are saved in an .xls file (each sheet contains the results relative to a particular depth) and in a .mat file. (M 6Â kb)
DOI: 10.6084/m9.figshare.c.3685318_d1.v1
title: Additional file 1: of Risk factors for poor multidrug-resistant tuberculosis treatment outcomes in Kyiv Oblast, Ukraine

description: Study data. Dataset for cohort of patients initiated on treatment for multi-drug resistant tuberculosis between January 1, 2012 and March 31, 2015 in Kyiv Oblast, Ukraine. (XLSX 38 kb)
DOI: 10.6084/m9.figshare.c.3685318_d1
title: Additional file 1: of Risk factors for poor multidrug-resistant tuberculosis treatment outcomes in Kyiv Oblast, Ukraine

description: Study data. Dataset for cohort of patients initiated on treatment for multi-drug resistant tuberculosis between January 1, 2012 and March 31, 2015 in Kyiv Oblast, Ukraine. (XLSX 38 kb)
DOI: 10.6084/m9.figshare.c.3685348_d8
title: Additional file 10: Table S3. of Evolutionary analysis of the SUB1 locus across the Oryza genomes

description: BLAST analysis searching the 3â  UTR intron in SUB1C-like genes. (XLSX 12 kb)
DOI: 10.6084/m9.figshare.c.3685360_d3
title: Additional file 4: of Evaluation and implementation of highly challenging balance training in clinical practice for people with Parkinson’s disease: protocol for the HiBalance effectiveness-implementation trial

description: Funding I and II (Swedish). (ZIP 1271 kb)
DOI: 10.6084/m9.figshare.c.3685348_d10.v1
title: Additional file 8: Table S2. of Evolutionary analysis of the SUB1 locus across the Oryza genomes

description: Transcription Factor Binding Sites (TFBSs) in the promoter regions (-1,500 bps upstream) of SUB1A-like gene of O. nivara. Regions polymorphic when comparing (XLSX 212 kb)
DOI: 10.6084/m9.figshare.c.3685348_d10
title: Additional file 8: Table S2. of Evolutionary analysis of the SUB1 locus across the Oryza genomes

description: Transcription Factor Binding Sites (TFBSs) in the promoter regions (-1,500 bps upstream) of SUB1A-like gene of O. nivara. Regions polymorphic when comparing (XLSX 212 kb)
DOI: 10.15468/dl.mpryhg
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Beringraja stellulata (Jordan & Gilbert, 1880)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038306-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.c.3685393_d12.v1
title: MOESM5 of Expression of Aspergillus niger CAZymes is determined by compositional changes in wheat straw generated by hydrothermal or ionic liquid pretreatments

description: Additional file 5: Table S4. MFuzz clusters of SignalP annotated genes. File with lists of genes in different clusters in clustering analysis of SignalP annotated genes. The file lists the genes in each of the clusters from each of the time-courses. The file also contains images of the MFuzz cluster set for each of the time-courses.
DOI: 10.6084/m9.figshare.c.3685393_d11
title: MOESM14 of Expression of Aspergillus niger CAZymes is determined by compositional changes in wheat straw generated by hydrothermal or ionic liquid pretreatments

description: Additional file 14: Table S11. CAZy, transcription factor and sugar transporter content of MFuzz clusters from the HTS time-course. File with lists of genes from each cluster from the HTS time-course of all genes from the categories of CAZy, Pfam for sugar transporters and Pfam for transcription factors that met selection criteria. Only genes strongly associated with a clusterâ  s predominant expression profile (membership value &gt; 0.5 as well as an FPKM &gt; 10 at the clusterâ  s expression peak) were selected which led to the capture of between a half and a third of each category.