cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48370/ofd/rr3krb
title: Bison bonasus - 140577, Zoological collection of the Mammal Research Institute, PAS

description: Bison bonasus (European bison) from Zoological collection of the Mammal Research Institute, PAS. Collected 1981-12-29 in: Białowieża Forest, Poland. Material type: skull, jaw
DOI: 10.35078/rq8l2g/yiaa1h
title: Ferros Cid. I.jpg

description: :unav
DOI: 10.35078/rq8l2g/x2mgop
title: Boa Vista III B.jpg

description: :unav
DOI: 10.35078/rq8l2g/h8ye8u
title: Taboca A.jpg

description: :unav
DOI: 10.35078/rq8l2g/l3bl86
title: São Francisco do Mar Vermelho Pov. A.jpg

description: :unav
DOI: 10.35078/rq8l2g/tmsd8z
title: Galo E.jpg

description: :unav
DOI: 10.6084/m9.figshare.5798691
title: Additional file 7 of Tensor decomposition-based unsupervised feature extraction identifies candidate genes that induce post-traumatic stress disorder-mediated heart diseases

description: Transcription factors PPI. A full list of enrichment analyses of transcription factors PPI provided by Enrichr. (CSV 70 kb)
DOI: 10.6084/m9.figshare.5798691.v1
title: Additional file 7 of Tensor decomposition-based unsupervised feature extraction identifies candidate genes that induce post-traumatic stress disorder-mediated heart diseases

description: Transcription factors PPI. A full list of enrichment analyses of transcription factors PPI provided by Enrichr. (CSV 70 kb)
DOI: 10.6084/m9.figshare.5798688
title: Additional file 6 of Tensor decomposition-based unsupervised feature extraction identifies candidate genes that induce post-traumatic stress disorder-mediated heart diseases

description: g:profiler. A full list of enrichment analyses of g:profiler. (XLSX 697 kb)
DOI: 10.6084/m9.figshare.5798688.v1
title: Additional file 6 of Tensor decomposition-based unsupervised feature extraction identifies candidate genes that induce post-traumatic stress disorder-mediated heart diseases

description: g:profiler. A full list of enrichment analyses of g:profiler. (XLSX 697 kb)
DOI: 10.6084/m9.figshare.5798685
title: Additional file 5 of Tensor decomposition-based unsupervised feature extraction identifies candidate genes that induce post-traumatic stress disorder-mediated heart diseases

description: 457 gene symbols. Gene symbols associated with 801 probes. (CSV 3 kb)
DOI: 10.6084/m9.figshare.5798685.v1
title: Additional file 5 of Tensor decomposition-based unsupervised feature extraction identifies candidate genes that induce post-traumatic stress disorder-mediated heart diseases

description: 457 gene symbols. Gene symbols associated with 801 probes. (CSV 3 kb)
DOI: 10.6084/m9.figshare.5798676
title: Additional file 3 of Tensor decomposition-based unsupervised feature extraction identifies candidate genes that induce post-traumatic stress disorder-mediated heart diseases

description: 801 probe IDs. Probe IDs identified by TD-based unsupervised FE. (CSV 11 kb)
DOI: 10.6084/m9.figshare.5798676.v1
title: Additional file 3 of Tensor decomposition-based unsupervised feature extraction identifies candidate genes that induce post-traumatic stress disorder-mediated heart diseases

description: 801 probe IDs. Probe IDs identified by TD-based unsupervised FE. (CSV 11 kb)
DOI: 10.6084/m9.figshare.5798577
title: Connected components associated to Thecate functional trait

description: The item is an igraph (R package) object. To load it in a R session : &gt; library(igraph) &gt; data = readRDS("data.rds")
DOI: 10.6084/m9.figshare.5798577.v1
title: Connected components associated to Thecate functional trait

description: The item is an igraph (R package) object. To load it in a R session : &gt; library(igraph) &gt; data = readRDS("data.rds")
DOI: 10.6084/m9.figshare.5798535
title: Connected components associated to Mixotrophy functional trait

description: The item is an igraph (R package) object. To load it in a R session : &gt; library(igraph) &gt; data = readRDS("data.rds")
DOI: 10.6084/m9.figshare.5798535.v1
title: Connected components associated to Mixotrophy functional trait

description: The item is an igraph (R package) object. To load it in a R session : &gt; library(igraph) &gt; data = readRDS("data.rds")
DOI: 10.6084/m9.figshare.5798520
title: Additional file 5: Table S2. of A functional role of LEFTY during progesterone therapy for endometrial carcinoma

description: Relationship between LEFTY and pSmad2 expression as detected by western blot assay in endometrial carcinomas. (XLSX 9Â kb)
DOI: 10.6084/m9.figshare.5798520.v1
title: Additional file 5: Table S2. of A functional role of LEFTY during progesterone therapy for endometrial carcinoma

description: Relationship between LEFTY and pSmad2 expression as detected by western blot assay in endometrial carcinomas. (XLSX 9Â kb)
DOI: 10.6084/m9.figshare.5798505
title: Additional file 1: Table S1. of A functional role of LEFTY during progesterone therapy for endometrial carcinoma

description: Primer sequences used in this study. (XLSX 10Â kb)
DOI: 10.6084/m9.figshare.5798505.v1
title: Additional file 1: Table S1. of A functional role of LEFTY during progesterone therapy for endometrial carcinoma

description: Primer sequences used in this study. (XLSX 10Â kb)
DOI: 10.6084/m9.figshare.5798484
title: Connected components associated to Cyst formation functional trait

description: The item is an igraph (R package) object. To load it in a R session : &gt; library(igraph) &gt; data = readRDS("data.rds")
DOI: 10.6084/m9.figshare.5798484.v1
title: Connected components associated to Cyst formation functional trait

description: The item is an igraph (R package) object. To load it in a R session : &gt; library(igraph) &gt; data = readRDS("data.rds")
DOI: 10.6084/m9.figshare.5798439
title: Connected components associated to Chloroplast functional trait

description: The item is an igraph (R package) object. To load it in a R session : &gt; library(igraph) &gt; data = readRDS("data.rds")
DOI: 10.6084/m9.figshare.5798439.v1
title: Connected components associated to Chloroplast functional trait

description: The item is an igraph (R package) object. To load it in a R session : &gt; library(igraph) &gt; data = readRDS("data.rds")
DOI: 10.6084/m9.figshare.5798397
title: Additional file 1: of The development of CHAMP: a checklist for the appraisal of moderators and predictors

description: Contains the history of the criteria contained in the checklist and their valuation and transformation throughout the entire study. (XLSX 26 kb)
DOI: 10.6084/m9.figshare.5798397.v1
title: Additional file 1: of The development of CHAMP: a checklist for the appraisal of moderators and predictors

description: Contains the history of the criteria contained in the checklist and their valuation and transformation throughout the entire study. (XLSX 26 kb)
DOI: 10.6084/m9.figshare.5798382
title: Additional file 9 of An integrated meta-analysis approach to identifying medications with potential to alter breast cancer risk through connectivity mapping

description: Significant drugs for Tumor vs Normal 5 gene signatures. The list of candidate drugs from connectivity mapping analysis using the 5 Tumor-vs-Normal gene signatures. List drugs are significant in at least three out of five input gene signatures. (XLSX 108 kb)
DOI: 10.6084/m9.figshare.5798382.v1
title: Additional file 9 of An integrated meta-analysis approach to identifying medications with potential to alter breast cancer risk through connectivity mapping

description: Significant drugs for Tumor vs Normal 5 gene signatures. The list of candidate drugs from connectivity mapping analysis using the 5 Tumor-vs-Normal gene signatures. List drugs are significant in at least three out of five input gene signatures. (XLSX 108 kb)
DOI: 10.6084/m9.figshare.5798379
title: Additional file 8 of An integrated meta-analysis approach to identifying medications with potential to alter breast cancer risk through connectivity mapping

description: Tumor vs Normal 5 sub-gene signatures. The 5 non-joint 83-gene signatures are included, each consisting of genes equally distanced in the rankings of the 415 significant genes from Tumor vs Normal differential expression analysis. (XLSX 40 kb)
DOI: 10.6084/m9.figshare.5798379.v1
title: Additional file 8 of An integrated meta-analysis approach to identifying medications with potential to alter breast cancer risk through connectivity mapping

description: Tumor vs Normal 5 sub-gene signatures. The 5 non-joint 83-gene signatures are included, each consisting of genes equally distanced in the rankings of the 415 significant genes from Tumor vs Normal differential expression analysis. (XLSX 40 kb)
DOI: 10.6084/m9.figshare.5798376
title: Additional file 7 of An integrated meta-analysis approach to identifying medications with potential to alter breast cancer risk through connectivity mapping

description: Tumor vs Adjacent 164-gene signature KEGG pathways. Full results of the KEGG human pathway enrichment analysis on the set of 164 significant genes selected from Tumor-vs-Adjacent differential expression analysis. (XLSX 112 kb)
DOI: 10.6084/m9.figshare.5798376.v1
title: Additional file 7 of An integrated meta-analysis approach to identifying medications with potential to alter breast cancer risk through connectivity mapping

description: Tumor vs Adjacent 164-gene signature KEGG pathways. Full results of the KEGG human pathway enrichment analysis on the set of 164 significant genes selected from Tumor-vs-Adjacent differential expression analysis. (XLSX 112 kb)
DOI: 10.6084/m9.figshare.5798373
title: Additional file 6 of An integrated meta-analysis approach to identifying medications with potential to alter breast cancer risk through connectivity mapping

description: Tumor vs Normal 415-gene signature KEGG pathways. Full results of the KEGG human pathway enrichment analysis on the set of 415 significant genes selected from Tumor-vs-Normal differential expression analysis. (XLSX 121 kb)
DOI: 10.6084/m9.figshare.5798373.v1
title: Additional file 6 of An integrated meta-analysis approach to identifying medications with potential to alter breast cancer risk through connectivity mapping

description: Tumor vs Normal 415-gene signature KEGG pathways. Full results of the KEGG human pathway enrichment analysis on the set of 415 significant genes selected from Tumor-vs-Normal differential expression analysis. (XLSX 121 kb)
DOI: 10.6084/m9.figshare.5798370
title: Additional file 5 of An integrated meta-analysis approach to identifying medications with potential to alter breast cancer risk through connectivity mapping

description: Tumor vs Adjacent differentially expressed genes. The full list of 164 significant genes selected from Tumor-vs-Adjacent differential expression analysis. (TAB 14 kb)
DOI: 10.6084/m9.figshare.5798370.v1
title: Additional file 5 of An integrated meta-analysis approach to identifying medications with potential to alter breast cancer risk through connectivity mapping

description: Tumor vs Adjacent differentially expressed genes. The full list of 164 significant genes selected from Tumor-vs-Adjacent differential expression analysis. (TAB 14 kb)
DOI: 10.6084/m9.figshare.5798367
title: Additional file 4 of An integrated meta-analysis approach to identifying medications with potential to alter breast cancer risk through connectivity mapping

description: Tumor vs Normal differentially expressed genes. The full list of 415 significant genes selected from Tumor-vs-Normal differential expression analysis. (TAB 36 kb)
DOI: 10.6084/m9.figshare.5798367.v1
title: Additional file 4 of An integrated meta-analysis approach to identifying medications with potential to alter breast cancer risk through connectivity mapping

description: Tumor vs Normal differentially expressed genes. The full list of 415 significant genes selected from Tumor-vs-Normal differential expression analysis. (TAB 36 kb)
DOI: 10.6084/m9.figshare.5798364
title: Additional file 3 of An integrated meta-analysis approach to identifying medications with potential to alter breast cancer risk through connectivity mapping

description: Power and sample size table. Results of power and sample size calculations as obtained using the procedure described in Additional fileÂ 2. (XLSX 14 kb)
DOI: 10.6084/m9.figshare.5798364.v1
title: Additional file 3 of An integrated meta-analysis approach to identifying medications with potential to alter breast cancer risk through connectivity mapping

description: Power and sample size table. Results of power and sample size calculations as obtained using the procedure described in Additional fileÂ 2. (XLSX 14 kb)
DOI: 10.6084/m9.figshare.5798358
title: Additional file 2: Table S1. of Wild eel microbiome reveals that skin mucus of fish could be a natural niche for aquatic mucosal pathogen evolution

description: Abundance and comparison of functions in water and skin-mucus surface microbiomes. (XLSX 646 kb)
DOI: 10.6084/m9.figshare.5798358.v1
title: Additional file 2: Table S1. of Wild eel microbiome reveals that skin mucus of fish could be a natural niche for aquatic mucosal pathogen evolution

description: Abundance and comparison of functions in water and skin-mucus surface microbiomes. (XLSX 646 kb)
DOI: 10.6084/m9.figshare.5798325
title: Additional file 16: of An elevated plus-maze in mixed reality for studying human anxiety-related behavior

description: Supplemental file 5. Original psychophysiological data from Study 2. (CSV 11 kb)
DOI: 10.6084/m9.figshare.5798325.v1
title: Additional file 16: of An elevated plus-maze in mixed reality for studying human anxiety-related behavior

description: Supplemental file 5. Original psychophysiological data from Study 2. (CSV 11 kb)
DOI: 10.6084/m9.figshare.5798322
title: Additional file 15: of An elevated plus-maze in mixed reality for studying human anxiety-related behavior

description: Supplemental file 4. Original data from Study 2. (CSV 9 kb)
DOI: 10.6084/m9.figshare.5798322.v1
title: Additional file 15: of An elevated plus-maze in mixed reality for studying human anxiety-related behavior

description: Supplemental file 4. Original data from Study 2. (CSV 9 kb)
DOI: 10.6084/m9.figshare.5798319
title: Additional file 14: of An elevated plus-maze in mixed reality for studying human anxiety-related behavior

description: Supplemental file 3. Original psychophysiological data from Study 1. (CSV 5 kb)
DOI: 10.6084/m9.figshare.5798319.v1
title: Additional file 14: of An elevated plus-maze in mixed reality for studying human anxiety-related behavior

description: Supplemental file 3. Original psychophysiological data from Study 1. (CSV 5 kb)
DOI: 10.6084/m9.figshare.5798316
title: Additional file 13: of An elevated plus-maze in mixed reality for studying human anxiety-related behavior

description: Supplemental file 2. Original endocrinological data from Study 1. (CSV 1 kb)
DOI: 10.6084/m9.figshare.5798316.v1
title: Additional file 13: of An elevated plus-maze in mixed reality for studying human anxiety-related behavior

description: Supplemental file 2. Original endocrinological data from Study 1. (CSV 1 kb)
DOI: 10.6084/m9.figshare.5798313
title: Additional file 12: of An elevated plus-maze in mixed reality for studying human anxiety-related behavior

description: Supplemental file 1. Original data from Study 1. (CSV 23 kb)
DOI: 10.6084/m9.figshare.5798313.v1
title: Additional file 12: of An elevated plus-maze in mixed reality for studying human anxiety-related behavior

description: Supplemental file 1. Original data from Study 1. (CSV 23 kb)
DOI: 10.6084/m9.figshare.5798283
title: Additional file 1: Table S1. of Overexpressed HSF1 cancer signature genes cluster in human chromosome 8q

description: Statistical tests of observing HSF1-CanSig genes by chromosome arm. Table S2. List of 475 HSF1-CanSig genes. Table S3. List of 29 primary tumor sites. Table S4. Overexpression scores of HSF1-CanSig genes in each primary site. Table S5. Top 100 most frequently overexpressed HSF1-CanSig genes. Table S6. Genomic coordinates of syntenic genes. Table S7. Genomic coordinates of HSF1’s flanking genes. Table S8. List of TCGA studies queried in WebGestalt website. (XLSX 643 kb)
DOI: 10.6084/m9.figshare.5798283.v1
title: Additional file 1: Table S1. of Overexpressed HSF1 cancer signature genes cluster in human chromosome 8q

description: Statistical tests of observing HSF1-CanSig genes by chromosome arm. Table S2. List of 475 HSF1-CanSig genes. Table S3. List of 29 primary tumor sites. Table S4. Overexpression scores of HSF1-CanSig genes in each primary site. Table S5. Top 100 most frequently overexpressed HSF1-CanSig genes. Table S6. Genomic coordinates of syntenic genes. Table S7. Genomic coordinates of HSF1’s flanking genes. Table S8. List of TCGA studies queried in WebGestalt website. (XLSX 643 kb)
DOI: 10.6084/m9.figshare.5798202
title: Connected components associated to Harmful for humans functional trait

description: The item is an igraph (R package) object. To load it in a R session : &gt; library(igraph) &gt; data = readRDS("data.rds")
DOI: 10.6084/m9.figshare.5798202.v1
title: Connected components associated to Harmful for humans functional trait

description: The item is an igraph (R package) object. To load it in a R session : &gt; library(igraph) &gt; data = readRDS("data.rds")
DOI: 10.6084/m9.figshare.5798130.v1
title: CalcOPP-3D 1.0.0

description: In the OPP approach, every atom is treated as an individual Einstein oscillator subject to Boltzmann statistics in the classical limit. The OPP itself represents the potential as experienced by an atom at a certain position and allows, <em>e.g.</em>, to assess the viability and activation barriers of migration pathways [see K. N. Trueblood, H.-B. Bürgi, H. Burzlaff, J. D. Dunitz, C. M. Gramaccioli, H. H. Schulz, U. Shmueli, S. C. Abrahams, <em>Acta Crystallogr., Sect. A: Found. Crystallogr.</em> <strong>1996</strong>, <em>52</em>, 770–781; H. Boysen, <em>Z. Kristallogr.</em> <strong>2003</strong>, <em>218</em>, 123–131].<br><br>JANA2006, one of the standard programs in powder and single-crystal diffractometry, readily calculates the probability-density function (PDF) in 2D and 3D. However, it does only allow for derivation of the resulting one-particle potential (OPP) in 1D, <i>i.e.</i>, along a pathway within a 2D section. This problem is overcome by CalcOPP-3D, which reads temporary output from JANA2006 and calculates a 3D OPP map in a format fit for visualization using VESTA.<br>
DOI: 10.6084/m9.figshare.5798115
title: Connected components associated to Symbiosis functional trait

description: The item is an igraph (R package) object. To load it in a R session : &gt; library(igraph) &gt; data = readRDS("data.rds")
DOI: 10.6084/m9.figshare.5798115.v1
title: Connected components associated to Symbiosis functional trait

description: The item is an igraph (R package) object. To load it in a R session : &gt; library(igraph) &gt; data = readRDS("data.rds")
DOI: 10.17608/k6.auckland.5798097
title: Chapter 9: Stokes' Theorem

description: A notebook applying Stokes Theorem to the Biot-Savart Law to find the magnetic field in the presence of a current in a long straight wire.
DOI: 10.6084/m9.figshare.5798091
title: Detwinning through migration of twin boundaries in nanotwinned Cu films under <i>in situ</i> ion irradiation

description: The mechanism of radiation-induced detwinning is different from that of deformation detwinning as the former is dominated by supersaturated radiation-induced defects while the latter is usually triggered by global stress. <i>In situ</i> Kr ion irradiation was performed to study the detwinning mechanism of nanotwinned Cu films with various twin thicknesses. Two types of incoherent twin boundaries (ITBs), so-called fixed ITBs and free ITBs, are characterized based on their structural features, and the difference in their migration behavior is investigated. It is observed that detwinning during radiation is attributed to the frequent migration of free ITBs, while the migration of fixed ITBs is absent. Statistics shows that the migration distance of free ITBs is thickness and dose dependent. Potential migration mechanisms are discussed.
DOI: 10.6084/m9.figshare.5798091.v2
title: Detwinning through migration of twin boundaries in nanotwinned Cu films under <i>in situ</i> ion irradiation

description: The mechanism of radiation-induced detwinning is different from that of deformation detwinning as the former is dominated by supersaturated radiation-induced defects while the latter is usually triggered by global stress. <i>In situ</i> Kr ion irradiation was performed to study the detwinning mechanism of nanotwinned Cu films with various twin thicknesses. Two types of incoherent twin boundaries (ITBs), so-called fixed ITBs and free ITBs, are characterized based on their structural features, and the difference in their migration behavior is investigated. It is observed that detwinning during radiation is attributed to the frequent migration of free ITBs, while the migration of fixed ITBs is absent. Statistics shows that the migration distance of free ITBs is thickness and dose dependent. Potential migration mechanisms are discussed.
DOI: 10.6084/m9.figshare.5798091.v1
title: Detwinning through migration of twin boundaries in nanotwinned Cu films under in situ ion irradiation

description: The mechanism of radiation induced detwinning is different from that of deformation detwinning as the former is dominated by supersaturated radiation-induced defects while the latter is usually triggered by global stress. In situ Kr ion irradiation was performed to study the detwinning mechanism of nanotwinned Cu films with various twin thicknesses. Two types of incoherent twin boundaries (ITBs), so-called fixed ITBs and free ITBs, are characterized based on their structural features, and the difference in their migration behavior is investigated. It is observed that detwinning during radiation is attributed to the frequent migration of free ITBs, while the migration of fixed ITBs is absent. Statistics shows that the migration distance of free ITBs are thickness- and dose-dependent. Potential migration mechanisms are discussed.
DOI: 10.6084/m9.figshare.5798043
title: Supplementary Material for: Association of Ultrafiltration Rate with Mortality in Incident Hemodialysis Patients

description: <b>Background/Aims:</b> Ultrafiltration rate (UFR) appears to be associated with mortality in prevalent hemodialysis (HD) patients. However, the association of UFR with mortality in incident HD patients remains unknown. <b><i>Methods:</i></b> We examined a US cohort of 110,880 patients who initiated HD from 2007 to 2011. Baseline UFR was divided into 5 groups (&lt;4, 4 to &lt;6, 6 to &lt;8, 8 to &lt;10, and ≥10 mL/h/kg body weight [BW]). We examined predictors of higher baseline UFR using logistic regression and the association of baseline UFR and all-cause and cardiovascular (CV) mortality using Cox proportional hazard models with adjustments for demographics, comorbidities, and markers of malnutrition-inflammation-cachexia syndrome. <b><i>Results:</i></b> Patients were 63 ± 15 years, with 43% women, 32% African Americans, and had a mean baseline UFR of 7.5 ± 3.1 mL/h/kg BW. In the fully adjusted logistic regression models, factors associated with higher UFR (≥7.5 mL/h/kg BW) included Hispanic ethnicity, diabetes, and higher dietary protein intake. There was a linear association between UFR and all-cause and CV mortality, where UFR ≥10 mL/h/kg BW (reference UFR 6–&lt;8 mL/h/kg BW) conferred the highest risk in both unadjusted (HR 1.15 [95% CI 1.10–1.19]) and adjusted models (HR 1.23 [95% CI 1.16–1.31]). The linear association with all-cause mortality remained consistent across strata of age, urine volume, and treatment time. <b><i>Conclusions:</i></b> Higher UFR is independently associated with higher all-cause and CV mortality in incident HD patients. Clinical trials are warranted to examine the effects of lowering UFR on outcomes.