cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12655835
title: Supplementary Material for: Pulse Width and Implantable Pulse Generator Longevity in Pallidal Deep Brain Stimulation for Dystonia: A Population-Based Comparative Effectiveness Study

description: <b><i>Introduction:</i></b> A wide range of pulse widths (PWs) has been used in globus pallidus internus (GPi) deep brain stimulation (DBS) for dystonia. However, no specific PW has demonstrated clinical superiority, and the paradigm may differ among DBS centers. <b><i>Objective:</i></b> To investigate how different paradigms of PWs in GPi DBS for dystonia affect implantable pulse generator (IPG) longevities and energy consumption. <b><i>Methods:</i></b> Thirty-nine patients with dystonia treated with bilateral GPi DBS at 2 Swedish DBS centers from 2005 to 2015 were included. Different PW paradigms were used at the 2 centers, 60–90 µs (short PWs) and 450 µs (long PW), respectively. The frequency of IPG replacements, pulse effective voltage (PEV), IPG model, pre-/postoperative imaging, and clinical outcome based on the clinical global impression (CGI) scale were collected from the medical charts and compared between the 2 groups. <b><i>Results:</i></b> The average IPG longevity was extended for the short PWs (1,129 ± 50 days) compared to the long PW (925 ± 32 days; χ<sup>2</sup> = 12.31, <i>p</i> = 0.0005, log-rank test). IPG longevity correlated inversely with PEV (Pearson’s <i>r</i> = –0.667, <i>p</i> &lt; 0.0001). IPG longevities did not differ between Kinetra® and Activa® PC in the short (<i>p</i> = 0.319) or long PW group (<i>p</i> = 0.858). Electrode distances to the central sensorimotor region of the GPi did not differ between the short or long PW groups (<i>p</i> = 0.595). Pre- and postoperative CGI did not differ between groups. <b><i>Conclusions:</i></b> Short PWs were associated with decreased energy consumption and increased IPG longevity. These effects were not dependent on the IPG model or the anatomic location of the electrodes. PWs did not correlate with symptom severities or clinical outcomes. The results suggest that the use of short PWs might be more energy efficient and could therefore be preferred initially when programming patients with GPi DBS for dystonia.
DOI: 10.6084/m9.figshare.12655772
title: Orbital tumor from Iran

description: This dataset is about prevalence of different orbital tumors in a referral center from Iran, in an eleven year period.
DOI: 10.6084/m9.figshare.12655841.v1
title: Signaling and Metabolic Pathways and Risk Scores of Protein Biomarkers in Pulmonary Arterial Hypertension - Integrated Multi-Omics Studies

description: Plasma samples from 80 subjects (30 patients in VSD-PAH group, 30 patients in VSD-Control group and 20 normal control subjects in Healthy Control group) were analyzed by GC-MS analysis.<br>
DOI: 10.6084/m9.figshare.12655835.v1
title: Supplementary Material for: Pulse Width and Implantable Pulse Generator Longevity in Pallidal Deep Brain Stimulation for Dystonia: A Population-Based Comparative Effectiveness Study

description: <b><i>Introduction:</i></b> A wide range of pulse widths (PWs) has been used in globus pallidus internus (GPi) deep brain stimulation (DBS) for dystonia. However, no specific PW has demonstrated clinical superiority, and the paradigm may differ among DBS centers. <b><i>Objective:</i></b> To investigate how different paradigms of PWs in GPi DBS for dystonia affect implantable pulse generator (IPG) longevities and energy consumption. <b><i>Methods:</i></b> Thirty-nine patients with dystonia treated with bilateral GPi DBS at 2 Swedish DBS centers from 2005 to 2015 were included. Different PW paradigms were used at the 2 centers, 60–90 µs (short PWs) and 450 µs (long PW), respectively. The frequency of IPG replacements, pulse effective voltage (PEV), IPG model, pre-/postoperative imaging, and clinical outcome based on the clinical global impression (CGI) scale were collected from the medical charts and compared between the 2 groups. <b><i>Results:</i></b> The average IPG longevity was extended for the short PWs (1,129 ± 50 days) compared to the long PW (925 ± 32 days; χ<sup>2</sup> = 12.31, <i>p</i> = 0.0005, log-rank test). IPG longevity correlated inversely with PEV (Pearson’s <i>r</i> = –0.667, <i>p</i> &lt; 0.0001). IPG longevities did not differ between Kinetra® and Activa® PC in the short (<i>p</i> = 0.319) or long PW group (<i>p</i> = 0.858). Electrode distances to the central sensorimotor region of the GPi did not differ between the short or long PW groups (<i>p</i> = 0.595). Pre- and postoperative CGI did not differ between groups. <b><i>Conclusions:</i></b> Short PWs were associated with decreased energy consumption and increased IPG longevity. These effects were not dependent on the IPG model or the anatomic location of the electrodes. PWs did not correlate with symptom severities or clinical outcomes. The results suggest that the use of short PWs might be more energy efficient and could therefore be preferred initially when programming patients with GPi DBS for dystonia.
DOI: 10.6084/m9.figshare.12655841.v3
title: Protein Biomarkers and Risk Scores in Pulmonary Arterial Hypertension Associated with Ventricular Septal Defect: Integration of Multi-Omics and Validation

description: Plasma samples from 80 subjects (30 patients in VSD-PAH group, 30 patients in VSD-Control group and 20 normal control subjects in Healthy Control group) were analyzed by GC-MS analysis.<br>
DOI: 10.6084/m9.figshare.12655841.v2
title: Signaling and Metabolic Pathways and Risk Scores of Protein Biomarkers in Pulmonary Arterial Hypertension - Integrated Multi-Omics Studies

description: Plasma samples from 80 subjects (30 patients in VSD-PAH group, 30 patients in VSD-Control group and 20 normal control subjects in Healthy Control group) were analyzed by GC-MS analysis.<br>
DOI: 10.6084/m9.figshare.12655697
title: Additional file 5 of Gut microbiome signatures of nursing home residents carrying Enterobacteria producing extended-spectrum β-lactamases

description: Additional file 5. Supplementary Table 4. KEGG KO that differentiate carriers and non-carriers using DESeq2 with bootstrap iterations.
DOI: 10.6084/m9.figshare.12655700
title: Additional file 6 of Gut microbiome signatures of nursing home residents carrying Enterobacteria producing extended-spectrum β-lactamases

description: Additional file 6. Supplementary Table 5. CAZyme that differentiate carriers and non-carriers using DESeq2 with bootstrap iterations.
DOI: 10.6084/m9.figshare.12655691
title: Additional file 3 of Gut microbiome signatures of nursing home residents carrying Enterobacteria producing extended-spectrum β-lactamases

description: Additional file 3. Supplementary Table 2. Species that differentiate carriers and non-carriers using DESeq2 with bootstrap iterations.
DOI: 10.6084/m9.figshare.12655694
title: Additional file 4 of Gut microbiome signatures of nursing home residents carrying Enterobacteria producing extended-spectrum β-lactamases

description: Additional file 4. Supplementary Table 3. KEGG modules that differentiate carriers and non-carriers using DESeq2 with bootstrap iterations.
DOI: 10.6084/m9.figshare.12655700.v1
title: Additional file 6 of Gut microbiome signatures of nursing home residents carrying Enterobacteria producing extended-spectrum β-lactamases

description: Additional file 6. Supplementary Table 5. CAZyme that differentiate carriers and non-carriers using DESeq2 with bootstrap iterations.
DOI: 10.6084/m9.figshare.12655691.v1
title: Additional file 3 of Gut microbiome signatures of nursing home residents carrying Enterobacteria producing extended-spectrum β-lactamases

description: Additional file 3. Supplementary Table 2. Species that differentiate carriers and non-carriers using DESeq2 with bootstrap iterations.
DOI: 10.6084/m9.figshare.12655697.v1
title: Additional file 5 of Gut microbiome signatures of nursing home residents carrying Enterobacteria producing extended-spectrum β-lactamases

description: Additional file 5. Supplementary Table 4. KEGG KO that differentiate carriers and non-carriers using DESeq2 with bootstrap iterations.
DOI: 10.6084/m9.figshare.12655688
title: Additional file 2 of Gut microbiome signatures of nursing home residents carrying Enterobacteria producing extended-spectrum β-lactamases

description: Additional file 2. Supplementary Table 1. Genus that differentiate carriers and non-carriers using DESeq2 with bootstrap iterations.
DOI: 10.6084/m9.figshare.12655694.v1
title: Additional file 4 of Gut microbiome signatures of nursing home residents carrying Enterobacteria producing extended-spectrum β-lactamases

description: Additional file 4. Supplementary Table 3. KEGG modules that differentiate carriers and non-carriers using DESeq2 with bootstrap iterations.
DOI: 10.6084/m9.figshare.12655688.v1
title: Additional file 2 of Gut microbiome signatures of nursing home residents carrying Enterobacteria producing extended-spectrum β-lactamases

description: Additional file 2. Supplementary Table 1. Genus that differentiate carriers and non-carriers using DESeq2 with bootstrap iterations.
DOI: 10.6084/m9.figshare.12655580
title: Additional file 2 of Morphological variation in two sigmodontine rodents along the mainland and the Fuegian archipelago in Chilean southern Patagonia

description: Additional file 2. Eigenvalues and Eigenvectors of Principal Component Analyses of linear morphometric data.
DOI: 10.6084/m9.figshare.12655574
title: Additional file 9 of Identification of potential crucial genes and key pathways in osteosarcoma

description: Additional file 9 Supplementary Table S9.
DOI: 10.6084/m9.figshare.12655580.v1
title: Additional file 2 of Morphological variation in two sigmodontine rodents along the mainland and the Fuegian archipelago in Chilean southern Patagonia

description: Additional file 2. Eigenvalues and Eigenvectors of Principal Component Analyses of linear morphometric data.
DOI: 10.6084/m9.figshare.12655571
title: Additional file 8 of Identification of potential crucial genes and key pathways in osteosarcoma

description: Additional file 8 Supplementary Table S8. Biological pathway enrichment analysis of the PMDEGs in these modules.
DOI: 10.6084/m9.figshare.12655574.v1
title: Additional file 9 of Identification of potential crucial genes and key pathways in osteosarcoma

description: Additional file 9 Supplementary Table S9.
DOI: 10.6084/m9.figshare.12655568
title: Additional file 7 of Identification of potential crucial genes and key pathways in osteosarcoma

description: Additional file 7 Supplementary Table S7. Characteristics of all nodes in the PPI network of the PMDEGs.
DOI: 10.6084/m9.figshare.12655571.v1
title: Additional file 8 of Identification of potential crucial genes and key pathways in osteosarcoma

description: Additional file 8 Supplementary Table S8. Biological pathway enrichment analysis of the PMDEGs in these modules.
DOI: 10.6084/m9.figshare.12655568.v1
title: Additional file 7 of Identification of potential crucial genes and key pathways in osteosarcoma

description: Additional file 7 Supplementary Table S7. Characteristics of all nodes in the PPI network of the PMDEGs.
DOI: 10.6084/m9.figshare.12655559
title: Additional file 5 of Identification of potential crucial genes and key pathways in osteosarcoma

description: Additional file 5 Supplementary Table S5. Characteristics of all nodes in the PPI network of the NPDEGs.
DOI: 10.6084/m9.figshare.12655562
title: Additional file 6 of Identification of potential crucial genes and key pathways in osteosarcoma

description: Additional file 6 Supplementary Table S6. Biological pathway enrichment analysis of the NPDEGs in the module 1.
DOI: 10.6084/m9.figshare.12655562.v1
title: Additional file 6 of Identification of potential crucial genes and key pathways in osteosarcoma

description: Additional file 6 Supplementary Table S6. Biological pathway enrichment analysis of the NPDEGs in the module 1.
DOI: 10.6084/m9.figshare.12655556
title: Additional file 4 of Identification of potential crucial genes and key pathways in osteosarcoma

description: Additional file 4 Supplemental Table S4. Functional Enrichment Analysis of DEGs between primary and metastatic osteosarcoma samples.
DOI: 10.6084/m9.figshare.12655559.v1
title: Additional file 5 of Identification of potential crucial genes and key pathways in osteosarcoma

description: Additional file 5 Supplementary Table S5. Characteristics of all nodes in the PPI network of the NPDEGs.
DOI: 10.6084/m9.figshare.12655550
title: Additional file 2 of Identification of potential crucial genes and key pathways in osteosarcoma

description: Additional file 2 Supplemental Table S2. Functional Enrichment Analysis of DEGs between osteosarcoma and normal samples.
DOI: 10.6084/m9.figshare.12655546
title: Additional file 3 of Somalier: rapid relatedness estimation for cancer and germline studies using efficient genome sketches

description: Additional file 3. HTML output for GTeX analysis.
DOI: 10.6084/m9.figshare.12655550.v1
title: Additional file 2 of Identification of potential crucial genes and key pathways in osteosarcoma

description: Additional file 2 Supplemental Table S2. Functional Enrichment Analysis of DEGs between osteosarcoma and normal samples.
DOI: 10.6084/m9.figshare.12655556.v1
title: Additional file 4 of Identification of potential crucial genes and key pathways in osteosarcoma

description: Additional file 4 Supplemental Table S4. Functional Enrichment Analysis of DEGs between primary and metastatic osteosarcoma samples.
DOI: 10.6084/m9.figshare.12655543
title: Additional file 2 of Somalier: rapid relatedness estimation for cancer and germline studies using efficient genome sketches

description: Additional file 2. Subset analysis for GTeX data.
DOI: 10.6084/m9.figshare.12655546.v1
title: Additional file 3 of Somalier: rapid relatedness estimation for cancer and germline studies using efficient genome sketches

description: Additional file 3. HTML output for GTeX analysis.
DOI: 10.6084/m9.figshare.12655543.v1
title: Additional file 2 of Somalier: rapid relatedness estimation for cancer and germline studies using efficient genome sketches

description: Additional file 2. Subset analysis for GTeX data.
DOI: 10.6084/m9.figshare.12655493
title: Additional file 3 of Projected geographic disparities in healthcare worker absenteeism from COVID-19 school closures and the economic feasibility of child care subsidies: a simulation study

description: Additional file 3 Table 1: List of ACS codes used to determine essential vs non-essential workers.
DOI: 10.6084/m9.figshare.12655493.v1
title: Additional file 3 of Projected geographic disparities in healthcare worker absenteeism from COVID-19 school closures and the economic feasibility of child care subsidies: a simulation study

description: Additional file 3 Table 1: List of ACS codes used to determine essential vs non-essential workers.
DOI: 10.6084/m9.figshare.12655487
title: Additional file 1 of Projected geographic disparities in healthcare worker absenteeism from COVID-19 school closures and the economic feasibility of child care subsidies: a simulation study

description: Additional file 1 Table 2: County-level data with estimated rates of unmet child care needs derived from IPUMS and NHES data, ω, and closure effectiveness, as well as actual rates of diabetes prevalence, cardiovascular disease (CVD) mortality, and rurality.
DOI: 10.6084/m9.figshare.12655487.v1
title: Additional file 1 of Projected geographic disparities in healthcare worker absenteeism from COVID-19 school closures and the economic feasibility of child care subsidies: a simulation study

description: Additional file 1 Table 2: County-level data with estimated rates of unmet child care needs derived from IPUMS and NHES data, ω, and closure effectiveness, as well as actual rates of diabetes prevalence, cardiovascular disease (CVD) mortality, and rurality.
DOI: 10.6084/m9.figshare.12655223
title: Additional file 1 of Characterization of Haplotype Diversity in the BADH2 Aroma Gene and Development of a KASP SNP Assay for Predicting Aroma in U.S. Rice

description: Additional file 1: Supplemental Table 1. BADH2 SNP output and haplotype assignments from 3 K genomes data set. Supplemental Table 2. Haplotype characterization of the U.S. breeding germplasm panel using the minimal SNP set.
DOI: 10.6084/m9.figshare.12655223.v1
title: Additional file 1 of Characterization of Haplotype Diversity in the BADH2 Aroma Gene and Development of a KASP SNP Assay for Predicting Aroma in U.S. Rice

description: Additional file 1: Supplemental Table 1. BADH2 SNP output and haplotype assignments from 3 K genomes data set. Supplemental Table 2. Haplotype characterization of the U.S. breeding germplasm panel using the minimal SNP set.
DOI: 10.6084/m9.figshare.12655111
title: Additional file 3 of Does solar irradiation drive community assembly of vulture plumage microbiotas?

description: Additional file 3. Log2 CSS abundance of bacterial genera identified in plumage samples of New World vultures.
DOI: 10.6084/m9.figshare.12655108
title: Additional file 2 of Does solar irradiation drive community assembly of vulture plumage microbiotas?

description: Additional file 2. Amplicon sequence variants (ASV) identified in the plumage samples of New World vultures.
DOI: 10.6084/m9.figshare.12655105
title: Additional file 1 of Does solar irradiation drive community assembly of vulture plumage microbiotas?

description: Additional file 1. Metadata. Laboratory identification numbers of feather samples, museum catalog numbers for voucher specimens, DNA concentration, number of filtered sequence reads, amplicon sequence variants (ASV), and number of microbial genera and families.
DOI: 10.6084/m9.figshare.12655108.v1
title: Additional file 2 of Does solar irradiation drive community assembly of vulture plumage microbiotas?

description: Additional file 2. Amplicon sequence variants (ASV) identified in the plumage samples of New World vultures.
DOI: 10.6084/m9.figshare.12655111.v1
title: Additional file 3 of Does solar irradiation drive community assembly of vulture plumage microbiotas?

description: Additional file 3. Log2 CSS abundance of bacterial genera identified in plumage samples of New World vultures.
DOI: 10.6084/m9.figshare.12655105.v1
title: Additional file 1 of Does solar irradiation drive community assembly of vulture plumage microbiotas?

description: Additional file 1. Metadata. Laboratory identification numbers of feather samples, museum catalog numbers for voucher specimens, DNA concentration, number of filtered sequence reads, amplicon sequence variants (ASV), and number of microbial genera and families.
DOI: 10.6084/m9.figshare.12655085
title: Additional file 2 of Molecular and clinicopathologic features of gliomas harboring NTRK fusions

description: Additional file 2: Supplemental tables. (1) methods for each case; (2) single nucleotide variants and copy number variants encountered in each case; (3) legend for the methylation reports and t-sne plots corresponding to each case.
DOI: 10.6084/m9.figshare.12655085.v2
title: Additional file 2 of Molecular and clinicopathologic features of gliomas harboring NTRK fusions

description: Additional file 2: Supplemental tables. (1) methods for each case; (2) single nucleotide variants and copy number variants encountered in each case; (3) legend for the methylation reports and t-sne plots corresponding to each case.
DOI: 10.6084/m9.figshare.12655085.v1
title: Additional file 2 of Molecular and clinicopathologic features of gliomas harboring NTRK fusions

description: Additional file 2: Supplemental tables. (1) methods for each case; (2) single nucleotide variants and copy number variants encountered in each case; (3) legend for the methylation reports and t-sne plots corresponding to each case.
DOI: 10.6084/m9.figshare.12655057
title: Additional file 2 of Measuring mosquito control: adult-mosquito catches vs egg-trap data as endpoints of a cluster-randomized controlled trial of mosquito-disseminated pyriproxyfen

description: Additional file 2: Dataset S1. Adult-mosquito aspiration data are provided in the sheet named ‘Aspiration’, and Aedes egg-trap data in the sheet named ‘Aedes egg traps’. The file includes a ‘Readme’ sheet with the meaning of each variable.
DOI: 10.6084/m9.figshare.12655057.v1
title: Additional file 2 of Measuring mosquito control: adult-mosquito catches vs egg-trap data as endpoints of a cluster-randomized controlled trial of mosquito-disseminated pyriproxyfen

description: Additional file 2: Dataset S1. Adult-mosquito aspiration data are provided in the sheet named ‘Aspiration’, and Aedes egg-trap data in the sheet named ‘Aedes egg traps’. The file includes a ‘Readme’ sheet with the meaning of each variable.
DOI: 10.6084/m9.figshare.12655051
title: Additional file 1 of Measuring mosquito control: adult-mosquito catches vs egg-trap data as endpoints of a cluster-randomized controlled trial of mosquito-disseminated pyriproxyfen

description: Additional file 1: Table S1. Weather covariate values. Table S2. Monthly adult-mosquito aspiration results. Table S3. Alternative models for the all-mosquito aspiration dataset. Table S4. ‘Full’ all-mosquito aspiration model with ULV. Table S5. Alternative models for the Aedes aegypti aspiration dataset. Table S6. ‘Full’ Aedes aspiration model with ULV. Table S7. Alternative models for the Culex quinquefasciatus aspiration dataset. Table S8. ‘Full’ Culex aspiration model with ULV. Table S9. Monthly Aedes egg-trap results. Table S10. Alternative models for the Aedes egg-trap dataset.
DOI: 10.6084/m9.figshare.12655051.v1
title: Additional file 1 of Measuring mosquito control: adult-mosquito catches vs egg-trap data as endpoints of a cluster-randomized controlled trial of mosquito-disseminated pyriproxyfen

description: Additional file 1: Table S1. Weather covariate values. Table S2. Monthly adult-mosquito aspiration results. Table S3. Alternative models for the all-mosquito aspiration dataset. Table S4. ‘Full’ all-mosquito aspiration model with ULV. Table S5. Alternative models for the Aedes aegypti aspiration dataset. Table S6. ‘Full’ Aedes aspiration model with ULV. Table S7. Alternative models for the Culex quinquefasciatus aspiration dataset. Table S8. ‘Full’ Culex aspiration model with ULV. Table S9. Monthly Aedes egg-trap results. Table S10. Alternative models for the Aedes egg-trap dataset.
DOI: 10.6084/m9.figshare.12655045
title: Additional file 9 of Investigating cellular and molecular mechanisms of neurogenesis in Capitella teleta sheds light on the ancestor of Annelida

description: Additional file 9: Table S8. Detailed EdU pulse-chase counts in the trunk neuroectoderm across 0–48 h.
DOI: 10.6084/m9.figshare.12655045.v1
title: Additional file 9 of Investigating cellular and molecular mechanisms of neurogenesis in Capitella teleta sheds light on the ancestor of Annelida

description: Additional file 9: Table S8. Detailed EdU pulse-chase counts in the trunk neuroectoderm across 0–48 h.
DOI: 10.6084/m9.figshare.12655027
title: Additional file 3 of Investigating cellular and molecular mechanisms of neurogenesis in Capitella teleta sheds light on the ancestor of Annelida

description: Additional file 3: Table S7. Detailed EdU pulse-chase counts in the anterior neuroectoderm across 0–48 h.
DOI: 10.6084/m9.figshare.12655027.v1
title: Additional file 3 of Investigating cellular and molecular mechanisms of neurogenesis in Capitella teleta sheds light on the ancestor of Annelida

description: Additional file 3: Table S7. Detailed EdU pulse-chase counts in the anterior neuroectoderm across 0–48 h.
DOI: 10.6084/m9.figshare.12859931
title: test test

description: test
DOI: 10.6084/m9.figshare.12859931.v1
title: test test

description: test
DOI: 10.6084/m9.figshare.12654932
title: BIOENSAYO.xlsx

description: database with information of food consumption, weight changes and glucose levels in healthy and diabetic rats that consumed a diet supplemented with mango ataulfo peel and pulp.
DOI: 10.6084/m9.figshare.12654728
title: Tabula Muris Senis Data Objects

description: Official data release for Tabula Muris Senis
DOI: 10.6084/m9.figshare.12654719
title: JVASP-29669 to JVASP-30692

description: JARVIS-DFT