cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11172044.v1
title: Is C-reactive protein elevated in obstructive sleep apnea? a systematic review and meta-analysis

description: <b>Purpose:</b> This study examined whether circulating C-reactive protein (CRP) is elevated in obstructive sleep apnoea (OSA) independent of the confounding effects of comorbidities, smoking, body mass index (BMI), age and gender. <b>Methods:</b> A systematic review of the literature was performed using PubMed, Embase and Cochrane databases from 1 January 1997 to 1 November 2017 using the key words obstructive sleep apnoea and C-Reactive protein to identify full text English language studies that compared CRP in adult non-smoking OSA participants without comorbidities and adult healthy non-smoking control participants matched for BMI, age and gender. Data from eligible studies were subjected to meta-analysis using RevMan version 5.3. <b>Results:</b> Five studies (219 OSA participants, 116 controls) met the selection criteria. The total standard mean difference for circulating high sensitivity CRP was 0.61 mg/dL higher in OSA participants than in control participants (confidence interval: 0.38 to 0.84, <i>p</i> p = 0.16, <i>I<sup>2</sup></i> = 33%) and minimal evidence of publication bias. <b>Conclusions</b>: CRP levels in non-smoking OSA participants without comorbidities were increased relative to levels in healthy matched non-smoking control participants, suggesting that pharyngeal or systemic inflammatory effects attributable to OSA may elevate CRP.
DOI: 10.6084/m9.figshare.11174141.v1
title: Demographic data

description: Demographic and basic clinical data of patients with chronic heart failure
DOI: 10.6084/m9.figshare.11174141.v2
title: Demographic data

description: Demographic and basic clinical data of patients with chronic heart failure
DOI: 10.6084/m9.figshare.11171222
title: Computer code to estimate transition matrix from The dynamics underlying avian extinction trajectories forecast a wave of extinctions

description: Matlab code (plain text) to estimate matrix Q.
DOI: 10.6084/m9.figshare.11171216
title: IUCN classifications of avian species from The dynamics underlying avian extinction trajectories forecast a wave of extinctions

description: Extinction risk categories of currently recognized bird species from 1988 to 2016.
DOI: 10.6084/m9.figshare.11171216.v1
title: IUCN classifications of avian species from The dynamics underlying avian extinction trajectories forecast a wave of extinctions

description: Extinction risk categories of currently recognized bird species from 1988 to 2016.
DOI: 10.6084/m9.figshare.11171222.v1
title: Computer code to estimate transition matrix from The dynamics underlying avian extinction trajectories forecast a wave of extinctions

description: Matlab code (plain text) to estimate matrix Q.
DOI: 10.6084/m9.figshare.11158649
title: MOESM2 of The International/Canadian Hereditary Angioedema Guideline

description: Additional file 2. HAE Lower Quality Comparison Study Evidence Tables. Lower Quality Comparison Studies. Includes data extraction, quality assessments, and study reference codes and citations for lower quality comparison studies.
DOI: 10.6084/m9.figshare.11158643
title: MOESM1 of The International/Canadian Hereditary Angioedema Guideline

description: Additional file 1. HAE RCT Evidence Tables. Randomized Controlled Trials. Includes data extraction, quality assessments, and study reference codes and citations for randomized controlled trials.
DOI: 10.6084/m9.figshare.11158649.v1
title: MOESM2 of The International/Canadian Hereditary Angioedema Guideline

description: Additional file 2. HAE Lower Quality Comparison Study Evidence Tables. Lower Quality Comparison Studies. Includes data extraction, quality assessments, and study reference codes and citations for lower quality comparison studies.
DOI: 10.6084/m9.figshare.11158643.v1
title: MOESM1 of The International/Canadian Hereditary Angioedema Guideline

description: Additional file 1. HAE RCT Evidence Tables. Randomized Controlled Trials. Includes data extraction, quality assessments, and study reference codes and citations for randomized controlled trials.
DOI: 10.6084/m9.figshare.11158619
title: MOESM3 of Integration of a multi-step heterologous pathway in Saccharomyces cerevisiae for the production of abscisic acid

description: Additional file 3. Gene and primer sequences. File contains B. cinerea gene sequences codon-optimised for S. cerevisiae and list of PCR primers used for the construction of integration and expression vectors by Gibson assembly.
DOI: 10.6084/m9.figshare.11158607
title: MOESM2 of Integration of a multi-step heterologous pathway in Saccharomyces cerevisiae for the production of abscisic acid

description: Additional file 2. Detected molecular features in HPLC-HRMS analysis. Observed molecular features with m/z between 200 and 270 detected with HPLC-HRMS in cell pellet and supernatant of TABA3 after 24 h. All molecular features detected in the background strain 5D-tHMG1 without B. cinerea genes have been excluded. Molecular formulae (MF) were postulated for the most abundant compounds (ion count higher than 106) and the ppm error calculated.
DOI: 10.6084/m9.figshare.11158619.v1
title: MOESM3 of Integration of a multi-step heterologous pathway in Saccharomyces cerevisiae for the production of abscisic acid

description: Additional file 3. Gene and primer sequences. File contains B. cinerea gene sequences codon-optimised for S. cerevisiae and list of PCR primers used for the construction of integration and expression vectors by Gibson assembly.
DOI: 10.6084/m9.figshare.11158607.v1
title: MOESM2 of Integration of a multi-step heterologous pathway in Saccharomyces cerevisiae for the production of abscisic acid

description: Additional file 2. Detected molecular features in HPLC-HRMS analysis. Observed molecular features with m/z between 200 and 270 detected with HPLC-HRMS in cell pellet and supernatant of TABA3 after 24 h. All molecular features detected in the background strain 5D-tHMG1 without B. cinerea genes have been excluded. Molecular formulae (MF) were postulated for the most abundant compounds (ion count higher than 106) and the ppm error calculated.
DOI: 10.6084/m9.figshare.11158586
title: MOESM2 of Copy number variations in candidate genomic regions confirm genetic heterogeneity and parental bias in Hirschsprung disease

description: Additional file 2. “Frequencies of CNVs detected in our sample compared to those for controls from gnomAd and DDD”. Comparison of all the aberrations detected by aCGH in our study and the frequencies reported for controls in two databases.
DOI: 10.6084/m9.figshare.11158577
title: MOESM1 of Copy number variations in candidate genomic regions confirm genetic heterogeneity and parental bias in Hirschsprung disease

description: Additional file 1. “Variants detected by software and visual inspection, according to selection criteria”. Whole raw data obtained by applying the a-CGH approach.
DOI: 10.6084/m9.figshare.11158586.v1
title: MOESM2 of Copy number variations in candidate genomic regions confirm genetic heterogeneity and parental bias in Hirschsprung disease

description: Additional file 2. “Frequencies of CNVs detected in our sample compared to those for controls from gnomAd and DDD”. Comparison of all the aberrations detected by aCGH in our study and the frequencies reported for controls in two databases.
DOI: 10.6084/m9.figshare.11158553
title: MOESM9 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 9. Job-2D-stress-d = 1–0.inp: an ABAQUS input file for stress-strain analysis when callus thickness was 1 mm. (INP 306kb)
DOI: 10.6084/m9.figshare.11158577.v1
title: MOESM1 of Copy number variations in candidate genomic regions confirm genetic heterogeneity and parental bias in Hirschsprung disease

description: Additional file 1. “Variants detected by software and visual inspection, according to selection criteria”. Whole raw data obtained by applying the a-CGH approach.
DOI: 10.6084/m9.figshare.11158553.v1
title: MOESM9 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 9. Job-2D-stress-d = 1–0.inp: an ABAQUS input file for stress-strain analysis when callus thickness was 1 mm. (INP 306kb)
DOI: 10.6084/m9.figshare.11158517
title: MOESM31 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 31. Job-2D-diffusion-d = 7-E.inp: an ABAQUS input file for final results presentation when callus thickness was 7 mm. (INP 1360kb)
DOI: 10.6084/m9.figshare.11158520
title: MOESM32 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 32. Job-2D-diffusion-d = 8-E.inp: an ABAQUS input file for final results presentation when callus thickness was 8 mm. (INP 1540kb)
DOI: 10.6084/m9.figshare.11158511
title: MOESM30 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 30. Job-2D-diffusion-d = 6-E.inp: an ABAQUS input file for final results presentation when callus thickness was 6 mm. (INP 1120kb)
DOI: 10.6084/m9.figshare.11158520.v1
title: MOESM32 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 32. Job-2D-diffusion-d = 8-E.inp: an ABAQUS input file for final results presentation when callus thickness was 8 mm. (INP 1540kb)
DOI: 10.6084/m9.figshare.11158511.v1
title: MOESM30 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 30. Job-2D-diffusion-d = 6-E.inp: an ABAQUS input file for final results presentation when callus thickness was 6 mm. (INP 1120kb)
DOI: 10.6084/m9.figshare.11158502
title: MOESM29 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 29. Job-2D-diffusion-d = 5-E.inp: an ABAQUS input file for final results presentation when callus thickness was 5 mm. (INP 898kb)
DOI: 10.6084/m9.figshare.11158517.v1
title: MOESM31 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 31. Job-2D-diffusion-d = 7-E.inp: an ABAQUS input file for final results presentation when callus thickness was 7 mm. (INP 1360kb)
DOI: 10.6084/m9.figshare.11158496
title: MOESM27 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 27. Job-2D-diffusion-d = 3-E.inp: an ABAQUS input file for final results presentation when callus thickness was 3 mm. (INP 528kb)
DOI: 10.6084/m9.figshare.11158499
title: MOESM28 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 28. Job-2D-diffusion-d = 4-E.inp: an ABAQUS input file for final results presentation when callus thickness was 4 mm. (INP 694kb)
DOI: 10.6084/m9.figshare.11158487
title: MOESM26 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 26. Job-2D-diffusion-d = 2-E.inp: an ABAQUS input file for final results presentation when callus thickness was 2 mm. (INP 383kb)
DOI: 10.6084/m9.figshare.11158499.v1
title: MOESM28 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 28. Job-2D-diffusion-d = 4-E.inp: an ABAQUS input file for final results presentation when callus thickness was 4 mm. (INP 694kb)
DOI: 10.6084/m9.figshare.11158502.v1
title: MOESM29 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 29. Job-2D-diffusion-d = 5-E.inp: an ABAQUS input file for final results presentation when callus thickness was 5 mm. (INP 898kb)
DOI: 10.6084/m9.figshare.11158484
title: MOESM25 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 25. Job-2D-diffusion-d = 1-E.inp: an ABAQUS input file for final results presentation when callus thickness was 1 mm. (INP 279kb)
DOI: 10.6084/m9.figshare.11158496.v1
title: MOESM27 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 27. Job-2D-diffusion-d = 3-E.inp: an ABAQUS input file for final results presentation when callus thickness was 3 mm. (INP 528kb)
DOI: 10.6084/m9.figshare.11158475
title: MOESM24 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 24. Job-2D-diffusion-d = 8–0.inp: an ABAQUS input file for mass diffusion analysis when callus thickness was 8 mm. (INP 1540kb)
DOI: 10.6084/m9.figshare.11158487.v1
title: MOESM26 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 26. Job-2D-diffusion-d = 2-E.inp: an ABAQUS input file for final results presentation when callus thickness was 2 mm. (INP 383kb)
DOI: 10.6084/m9.figshare.11158469
title: MOESM23 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 23. Job-2D-diffusion-d = 7–0.inp: an ABAQUS input file for mass diffusion analysis when callus thickness was 7 mm. (INP 1360kb)
DOI: 10.6084/m9.figshare.11158484.v1
title: MOESM25 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 25. Job-2D-diffusion-d = 1-E.inp: an ABAQUS input file for final results presentation when callus thickness was 1 mm. (INP 279kb)
DOI: 10.6084/m9.figshare.11158454
title: MOESM20 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 20. Job-2D-diffusion-d = 4–0.inp: an ABAQUS input file for mass diffusion analysis when callus thickness was 4 mm. (INP 695kb)
DOI: 10.6084/m9.figshare.11158457
title: MOESM21 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 21. Job-2D-diffusion-d = 5–0.inp: an ABAQUS input file for mass diffusion analysis when callus thickness was 5 mm. (INP 898kb)
DOI: 10.6084/m9.figshare.11158463
title: MOESM22 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 22. Job-2D-diffusion-d = 6–0.inp: an ABAQUS input file for mass diffusion analysis when callus thickness was 6 mm. (INP 1120kb)
DOI: 10.6084/m9.figshare.11158439
title: MOESM19 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 19. Job-2D-diffusion-d = 3–0.inp: an ABAQUS input file for mass diffusion analysis when callus thickness was 3 mm. (INP 529kb)
DOI: 10.6084/m9.figshare.11158430
title: MOESM18 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 18. Job-2D-diffusion-d = 2–0.inp: an ABAQUS input file for mass diffusion analysis when callus thickness was 2 mm. (INP 383kb)
DOI: 10.6084/m9.figshare.11158439.v1
title: MOESM19 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 19. Job-2D-diffusion-d = 3–0.inp: an ABAQUS input file for mass diffusion analysis when callus thickness was 3 mm. (INP 529kb)
DOI: 10.6084/m9.figshare.11158430.v1
title: MOESM18 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 18. Job-2D-diffusion-d = 2–0.inp: an ABAQUS input file for mass diffusion analysis when callus thickness was 2 mm. (INP 383kb)
DOI: 10.6084/m9.figshare.11158424
title: MOESM17 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 17. Job-2D-diffusion-d = 1–0.inp: an ABAQUS input file for mass diffusion analysis when callus thickness was 1 mm. (INP 280kb)
DOI: 10.6084/m9.figshare.11158409
title: MOESM15 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 15. Job-2D-stress-d = 7–0.inp: an ABAQUS input file for stress-strain analysis when callus thickness was 7 mm. (INP 1450kb)
DOI: 10.6084/m9.figshare.11158415
title: MOESM16 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 16. Job-2D-stress-d = 8–0.inp: an ABAQUS input file for stress-strain analysis when callus thickness was 8 mm. (INP 1640kb)
DOI: 10.6084/m9.figshare.11158397
title: MOESM14 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 14. Job-2D-stress-d = 6–0.inp: an ABAQUS input file for stress-strain analysis when callus thickness was 6 mm. (INP 1200kb)
DOI: 10.6084/m9.figshare.11158385
title: MOESM13 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 13. Job-2D-stress-d = 5–0.inp: an ABAQUS input file for stress-strain analysis when callus thickness was 5 mm. (INP 964kb)
DOI: 10.6084/m9.figshare.11158397.v1
title: MOESM14 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 14. Job-2D-stress-d = 6–0.inp: an ABAQUS input file for stress-strain analysis when callus thickness was 6 mm. (INP 1200kb)
DOI: 10.6084/m9.figshare.11158370
title: MOESM11 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 11. Job-2D-stress-d = 3–0.inp: an ABAQUS input file for stress-strain analysis when callus thickness was 3 mm. (INP 573kb)
DOI: 10.6084/m9.figshare.11158373
title: MOESM12 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 12. Job-2D-stress-d = 4–0.inp: an ABAQUS input file for stress-strain analysis when callus thickness was 4 mm. (INP 747kb)
DOI: 10.6084/m9.figshare.11158373.v1
title: MOESM12 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 12. Job-2D-stress-d = 4–0.inp: an ABAQUS input file for stress-strain analysis when callus thickness was 4 mm. (INP 747kb)
DOI: 10.6084/m9.figshare.11158358
title: MOESM10 of Computational modeling of human bone fracture healing affected by different conditions of initial healing stage

description: Additional file 10. Job-2D-stress-d = 2–0.inp: an ABAQUS input file for stress-strain analysis when callus thickness was 2 mm. (INP 416kb)
DOI: 10.6084/m9.figshare.11154791
title: Towards Full-colour Tunability of Inorganic Electrochromic Devices Using Ultracompact Fabry-Perot Nanocavities

description: We use the characteristic matrix method derived from the basic principles of Maxwell’s equations to model the transmittance/reflectance spectra of the F-P nanocavities. The reflection spectra were collected by a UV–vis spectrophotometer (V660, JASCO), and the angle-resolved reflection spectra were collected by an angle-resolved spectrum system (R1, ideaoptics, China) equipped with spectrometers (NOVA-EX, ideaoptics, China) over a wavelength range of 350–850 nm. The electrochemical behaviours were studied by means of cyclic voltammetry (CV) and chronoamperometry (CA), both performed on an electrochemical workstation (CHI 760, CH Instruments, Inc., China) using a conventional three-electrode test cell for the single F-P nanocavity electrochromic electrode. A platinum wire and Ag/AgCl saturated with KCl were used as the counter and reference electrode, respectively. A two-electrode system was used for the performance testing of the fabricated electrochromic devices at room temperature.
DOI: 10.6084/m9.figshare.11157638
title: Data

description: Lesser Antilles dataset<br>
DOI: 10.6084/m9.figshare.11157638.v1
title: Data

description: Lesser Antilles dataset<br>
DOI: 10.6084/m9.figshare.11148758
title: Actinidia chinensis full-length transcriptome data

description: Actinidia chinensis full-length transcriptome fastq data
DOI: 10.6084/m9.figshare.11145974
title: 构造算例和实验结果.zip

description: 本构造算例是VRPSDPTW的衍生问题
DOI: 10.6084/m9.figshare.11145260
title: light field image stack

description: remapped light field image stack
DOI: 10.6084/m9.figshare.11144573
title: A whole genome assembly of <i>Leptospermum scoparium</i> (Myrtaceae) for mānuka research

description: We assembled the genome of <i>Leptospermum scoparium</i> ‘Crimson Glory’ using a combination of Illumina paired-end sequencing, high-throughput chromosome conformation capture (Hi-C) and high density genetic mapping. As ‘Crimson Glory’ is a variety of mānuka, this is the first genome assembly for a plant species culturally recognised as a treasure (taonga) by the indigenous Māori of Aotearoa New Zealand. The mānuka genome spans a total of 297 Mbp organised in 11 pseudo-chromosomes that are syntenic with the <i>Eucalyptus</i> genome. A large proportion of the genome assembly corresponds to fungal and bacterial sequences, indicating the presence of an associated microbiome. A total of 31,220 protein-coding gene models were detected throughout the genome, including genes involved in biosynthesis of biologically active phenylpropanoids, triketones and terpenes, as well as genes involved in biotic resistance. The mānuka genome sequence will help shed new light on the genetic control of unique characters such as nectar and foliage biochemical composition, flowering time and disease resistance.
DOI: 10.6084/m9.figshare.11144573.v1
title: A whole genome assembly of <i>Leptospermum scoparium</i> (Myrtaceae) for mānuka research

description: We assembled the genome of <i>Leptospermum scoparium</i> ‘Crimson Glory’ using a combination of Illumina paired-end sequencing, high-throughput chromosome conformation capture (Hi-C) and high density genetic mapping. As ‘Crimson Glory’ is a variety of mānuka, this is the first genome assembly for a plant species culturally recognised as a treasure (taonga) by the indigenous Māori of Aotearoa New Zealand. The mānuka genome spans a total of 297 Mbp organised in 11 pseudo-chromosomes that are syntenic with the <i>Eucalyptus</i> genome. A large proportion of the genome assembly corresponds to fungal and bacterial sequences, indicating the presence of an associated microbiome. A total of 31,220 protein-coding gene models were detected throughout the genome, including genes involved in biosynthesis of biologically active phenylpropanoids, triketones and terpenes, as well as genes involved in biotic resistance. The mānuka genome sequence will help shed new light on the genetic control of unique characters such as nectar and foliage biochemical composition, flowering time and disease resistance.