cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5244664
title: ESIP 2017 EnviroSensing Cluster Session on Tools and Strategies for End-to-End Sensor Data Management

description: The low cost and ubiquity of electronic sensors and increasingly practical options for setting up sensor networks have revolutionized environmental science. Emerging standards and web services for accessing sensor data and tasking sensors via the internet are further accelerating this trend. Investigators can now acquire vast amounts of sensor data as they conduct their research, but efficiently managing, documenting and quality-controlling those data and submitting them to a suitable repository is still problematic for many. This breakout session will focus on practical software tools and cloud-based services for establishing an end-to-end sensor data management strategy. It will include four or five presentations on new cloud-based services for acquiring sensor data (e.g. CHORDS, OpenSensorHub), code libraries for documenting and quality-controlling data using common software frameworks (e.g. MATLAB, R), and options for automating submission of sensor data to repositories (e.g. EDI, other DataONE nodes). This session will also be coordinated with a panel discussion on sensor data standards and tool development needs for fully enabling end-to-end sensor data management.
DOI: 10.6084/m9.figshare.5244664.v1
title: ESIP 2017 EnviroSensing Cluster Session on Tools and Strategies for End-to-End Sensor Data Management

description: The low cost and ubiquity of electronic sensors and increasingly practical options for setting up sensor networks have revolutionized environmental science. Emerging standards and web services for accessing sensor data and tasking sensors via the internet are further accelerating this trend. Investigators can now acquire vast amounts of sensor data as they conduct their research, but efficiently managing, documenting and quality-controlling those data and submitting them to a suitable repository is still problematic for many. This breakout session will focus on practical software tools and cloud-based services for establishing an end-to-end sensor data management strategy. It will include four or five presentations on new cloud-based services for acquiring sensor data (e.g. CHORDS, OpenSensorHub), code libraries for documenting and quality-controlling data using common software frameworks (e.g. MATLAB, R), and options for automating submission of sensor data to repositories (e.g. EDI, other DataONE nodes). This session will also be coordinated with a panel discussion on sensor data standards and tool development needs for fully enabling end-to-end sensor data management.
DOI: 10.6084/m9.figshare.5244676.v2
title: Expected Labor Force Activity and Retirement Behavior by Age, Gender, and Labor Force History

description: We find and estimate probability mass functions for labor force related random variables. Complete life expectancy (by age, gender, and two years of labor force history) is decomposed into expected years of future labor force activity and inactivity as well as into expected years until final separation from the labor force and expected years in retirement. We also calculate expected age at retirement and expected years in retirement for people who actually retire. Two consecutive years of inactivity, especially in middle age, is a key indicator for both men and women when accounting for future labor force participation and retirement. For example, women (men) who are out of the labor force at age 49 and again out of the labor force at age 50, can expect to be in the labor force seven (eight) fewer years in the future than their counterparts who were in the labor force at ages 49 and 50. In addition, they have expected retirement ages 4.5–5.5 years younger than their active counterparts.
DOI: 10.6084/m9.figshare.5244676.v1
title: Expected Labor Force Activity and Retirement Behavior by Age, Gender, and Labor Force History

description: We find and estimate probability mass functions for labor force related random variables. Complete life expectancy (by age, gender, and two years of labor force history) is decomposed into expected years of future labor force activity and inactivity as well as into expected years until final separation from the labor force and expected years in retirement. We also calculate expected age at retirement and expected years in retirement for peopl who actually retire. Two consecutive years of inactivity, especially in middle age, is a key indicator for both men and women when accounting for future labor force participation and retirement. For example, women (men) who are out of the labor force at age 49 and again out of the labor force at age 50, can expect to be in the labor force seven (eight) fewer years in the future than their counterparts who were in the labor force at ages 49 and 50. In addition, they have expected retirement ages 4.5 to 5.5 years younger than their active counterparts.
DOI: 10.6084/m9.figshare.5244640
title: Analysis and plots for manuscript describing the AutoTST algorithm for automated Transition State Theory calculations of chemical reaction rates.

description: Data in CSV format and Jupyter notebook and python scripts used to analyze the data and produce the figures, which are also included. The figures show the comparison between reaction rates calculated using the AutoTST algorithm and those found in a LLNL model of butanol combustion, and estimates made by the Reaction Mechanism Generator RMG.
DOI: 10.6084/m9.figshare.5244634
title: Pregnane X Receptor Polymorphisms and Risk of Inflammatory Bowel Disease: A Meta-Analysis

description: <b>Background</b>: Pregnane X receptor (PXR) gene polymorphisms have been widely studied in terms of the association with inflammatory bowel disease (IBD), with inconsistent results. <b>Objective</b>: The present meta-analysis was performed to assess the association between PXR gene polymorphisms and the susceptibility of IBD, Crohn’s disease (CD), and ulcerative colitis (UC). <b>Methods</b>: PubMed, Wanfang, and CNKI databases were searched for eligible studies before November 1, 2016. Pooled odds ratios (ORs) and 95% confidence intervals (95% CIs) were used to calculate the various genetic models using either a fixed-effect or a random-effect model. The heterogeneity of the included studies was examined with Cochran Q and I<sup>2</sup> statistics. Begg’s rank correlation test and Egger’s linear regression test were used to assess the publication bias. <b>Results</b>: A total of six studies with 4248 cases and 3853 controls were included in this meta-analysis. Three PXR gene polymorphisms were evaluated: rs1523127, rs2276707, and rs6785049. Our analyses of rs1523127, rs2276707, and rs6785049 suggested that PXR gene polymorphism had no obvious influence on the risk of IBD in Caucasians. Subgroup analyses based on disease type showed similar results. <b>Conclusion</b>: Our meta-analysis revealed that PXR gene polymorphism may not be significantly associated with IBD susceptibility. However, the number of original studies was limited and further studies with large samples are needed to verify the results. <b>Abbreviations</b>: PXR = pregnane X receptor, IBD = inflammatory bowel disease, CD = Crohn’s disease, UC = ulcerative colitis, ORs = pooled odds ratios, 95% CIs = 95% confidence intervals, NOS = Newcastle–Ottawa scale, HWE = Hardy–Weinberg equilibrium.
DOI: 10.6084/m9.figshare.5244640.v1
title: Analysis and plots for manuscript describing the AutoTST algorithm for automated Transition State Theory calculations of chemical reaction rates.

description: Data in CSV format and Jupyter notebook and python scripts used to analyze the data and produce the figures, which are also included. The figures show the comparison between reaction rates calculated using the AutoTST algorithm and those found in a LLNL model of butanol combustion, and estimates made by the Reaction Mechanism Generator RMG.
DOI: 10.6084/m9.figshare.5244634.v1
title: Pregnane X Receptor Polymorphisms and Risk of Inflammatory Bowel Disease: A Meta-Analysis

description: <b>Background</b>: Pregnane X receptor (PXR) gene polymorphisms have been widely studied in terms of the association with inflammatory bowel disease (IBD), with inconsistent results. <b>Objective</b>: The present meta-analysis was performed to assess the association between PXR gene polymorphisms and the susceptibility of IBD, Crohn’s disease (CD), and ulcerative colitis (UC). <b>Methods</b>: PubMed, Wanfang, and CNKI databases were searched for eligible studies before November 1, 2016. Pooled odds ratios (ORs) and 95% confidence intervals (95% CIs) were used to calculate the various genetic models using either a fixed-effect or a random-effect model. The heterogeneity of the included studies was examined with Cochran Q and I<sup>2</sup> statistics. Begg’s rank correlation test and Egger’s linear regression test were used to assess the publication bias. <b>Results</b>: A total of six studies with 4248 cases and 3853 controls were included in this meta-analysis. Three PXR gene polymorphisms were evaluated: rs1523127, rs2276707, and rs6785049. Our analyses of rs1523127, rs2276707, and rs6785049 suggested that PXR gene polymorphism had no obvious influence on the risk of IBD in Caucasians. Subgroup analyses based on disease type showed similar results. <b>Conclusion</b>: Our meta-analysis revealed that PXR gene polymorphism may not be significantly associated with IBD susceptibility. However, the number of original studies was limited and further studies with large samples are needed to verify the results. <b>Abbreviations</b>: PXR = pregnane X receptor, IBD = inflammatory bowel disease, CD = Crohn’s disease, UC = ulcerative colitis, ORs = pooled odds ratios, 95% CIs = 95% confidence intervals, NOS = Newcastle–Ottawa scale, HWE = Hardy–Weinberg equilibrium.
DOI: 10.6084/m9.figshare.5244556
title: USV data from social isolation experiment

description: Average differences in USV acoustic measures from baseline to post-experiment.
DOI: 10.6084/m9.figshare.5244568
title: NMJ data from social isolation experiment

description: Morphological measurements of neuromuscular junctions of the thyroarytenoid muscle
DOI: 10.6084/m9.figshare.5244553
title: Dataset_for CVD body image_paper.sav

description: Dataset on CVD risk factors and body image parameters.
DOI: 10.6084/m9.figshare.5244556.v1
title: USV data from social isolation experiment

description: Average differences in USV acoustic measures from baseline to post-experiment.
DOI: 10.6084/m9.figshare.5244568.v1
title: NMJ data from social isolation experiment

description: Morphological measurements of neuromuscular junctions of the thyroarytenoid muscle
DOI: 10.6084/m9.figshare.5242351
title: 07013 - Data deliverable with unique ID (Dec 19)_2.sav

description: results of random digit dial survey to assess past use and awareness of pharmacological and non-pharmacological smoking cessation support among current tobacco users and identify knowledge, attitudes, and barriers related to accessing quitting smoking support.
DOI: 10.6084/m9.figshare.5242339
title: HurricaneMatthewClaimsData.xlsx

description: We used the dataset to analyze the feasibility of using social media data for rapid damage assessment post disasters.
DOI: 10.6084/m9.figshare.5242351.v1
title: 07013 - Data deliverable with unique ID (Dec 19)_2.sav

description: results of random digit dial survey to assess past use and awareness of pharmacological and non-pharmacological smoking cessation support among current tobacco users and identify knowledge, attitudes, and barriers related to accessing quitting smoking support.
DOI: 10.6084/m9.figshare.5242339.v1
title: HurricaneMatthewClaimsData.xlsx

description: We used the dataset to analyze the feasibility of using social media data for rapid damage assessment post disasters.
DOI: 10.6084/m9.figshare.5242270
title: Enhancing Change Prediction Models using Developer-Related Factors

description: Continuous changes applied by developers during software maintenance and evolution risk to deteriorate the internal structure of a system and threat its maintainability. In this context, predicting the portions of source code where specific maintenance operations such as peer-code review and refactoring should be focused on may be crucial for developers in order to prevent the introduction of maintainability issues. In the past, researchers devoted effort on the definition of change prediction models based on structural properties extracted from the source code, while recent papers have shown that process metrics can be successfully adopted to predict change-prone classes. Despite the steps ahead made by recent work, we believe that existing approaches still miss an important piece of information, i.e., developer-related factors that are able to capture how complex is the development process under different perspectives. In this paper, we firstly investigate three change prediction models that exploit developer-related factors (e.g., number of developers working on a class) as predictor of change-proneness of classes and then we compare them with existing models relying on product and evolution metrics. Our findings reveal that developer-based factors might improve in some cases the capabilities of change prediction models in the identification of classes of a software system more likely to be changed in the future. Moreover, we observed interesting complementarities among the investigated prediction models. Based on these findings, we devised a novel change prediction model synergistically exploiting developer-related factors as well as product and evolution metrics. The empirical evaluation shows that such combined model is up to 20% more effective than the five single models in the identification of change-prone classes.
DOI: 10.6084/m9.figshare.5242270.v2
title: Enhancing Change Prediction Models using Developer-Related Factors

description: Continuous changes applied by developers during software maintenance and evolution risk to deteriorate the internal structure of a system and threat its maintainability. In this context, predicting the portions of source code where specific maintenance operations such as peer-code review and refactoring should be focused on may be crucial for developers in order to prevent the introduction of maintainability issues. In the past, researchers devoted effort on the definition of change prediction models based on structural properties extracted from the source code, while recent papers have shown that process metrics can be successfully adopted to predict change-prone classes. Despite the steps ahead made by recent work, we believe that existing approaches still miss an important piece of information, i.e., developer-related factors that are able to capture how complex is the development process under different perspectives. In this paper, we firstly investigate three change prediction models that exploit developer-related factors (e.g., number of developers working on a class) as predictor of change-proneness of classes and then we compare them with existing models relying on product and evolution metrics. Our findings reveal that developer-based factors might improve in some cases the capabilities of change prediction models in the identification of classes of a software system more likely to be changed in the future. Moreover, we observed interesting complementarities among the investigated prediction models. Based on these findings, we devised a novel change prediction model synergistically exploiting developer-related factors as well as product and evolution metrics. The empirical evaluation shows that such combined model is up to 20% more effective than the five single models in the identification of change-prone classes.
DOI: 10.6084/m9.figshare.5242270.v1
title: Enhancing Change Prediction Models using Developer-Related Factors

description: Continuous changes applied by developers during software maintenance and evolution risk to deteriorate the internal structure of a system and threat its maintainability. In this context, predicting the portions of source code where specific maintenance operations such as peer-code review and refactoring should be focused on may be crucial for developers in order to prevent the introduction of maintainability issues. In the past, researchers devoted effort on the definition of change prediction models based on structural properties extracted from the source code, while recent papers have shown that process metrics can be successfully adopted to predict change-prone classes. Despite the steps ahead made by recent work, we believe that existing approaches still miss an important piece of information, i.e., developer-related factors that are able to capture how complex is the development process under different perspectives. In this paper, we firstly investigate three change prediction models that exploit developer-related factors (e.g., number of developers working on a class) as predictor of change-proneness of classes and then we compare them with existing models relying on product and evolution metrics. Our findings reveal that developer-based factors might improve in some cases the capabilities of change prediction models in the identification of classes of a software system more likely to be changed in the future. Moreover, we observed interesting complementarities among the investigated prediction models. Based on these findings, we devised a novel change prediction model synergistically exploiting developer-related factors as well as product and evolution metrics. The empirical evaluation shows that such combined model is up to 20% more effective than the five single models in the identification of change-prone classes.
DOI: 10.6084/m9.figshare.5242153
title: Virtual Genome Walking in Ambystoma mexicanum

description: VGW scaffold sequences, input cDNAs and related GFF files. Files included:<br>VGWmerged.fasta The merged VGW scaffoldsAnnotated_cDNA.fasta The input cDNA transcriptsvgw.gff The input cDNAs mapped to the scaffoldsalltranscripts.gff All of our transcripts mapped to the scaffolds500Ns.gff The 500N breaks between contigsVGWmerged.fasta_RM_out.gff RepeatMasker outputcoverage_repeats.gff positions where read coverage exceeds 50 consensi.fa.classified repeat library generated by RepeatScout
DOI: 10.6084/m9.figshare.5242117
title: Erratum: Quantitative Evaluation of Brain Stem Atrophy Using Magnetic Resonance Imaging in Adult Patients with Alexander Disease

description: Brain MRI in adult patients with Alexander disease (AxD) mainly shows atrophy in the medulla oblongata. However, currently there is no quantitative standard for assessing this atrophy. In this study, we quantitatively evaluated the brain stem of AxD patients with <i>glial fibrillary acidic protein (GFAP)</i> mutation using conventional MRI to evaluate its usefulness as an aid to diagnosing AxD in daily clinical practice. Nineteen AxD patients with <i>GFAP</i> mutation were compared with 14 patients negative for <i>GFAP</i> mutation in whom AxD was suspected due to “atrophy of the medulla oblongata.” In the <i>GFAP</i> mutation-positive group, the sagittal diameter of the medulla oblongata, the ratio of the diameter of the medulla oblongata to that of the midbrain (MO/MB), and the ratio of the sagittal diameter of the medulla oblongata to that of the pons (MO/Po) were significantly smaller compared to those of the <i>GFAP</i> mutation-negative group (<i>p</i> &lt; 0.01). The sensitivity and specificity of each parameter were 87.5 and 92.3%, 91.7 and 81.3%, and 88.2 and 100% with a sagittal diameter of the medulla oblongata &lt;9.0 mm, MO/MB &lt;0.60, and sagittal MO/Po &lt;0.46, respectively. These parameters can provide very useful information to differentially diagnose AxD from other disorders associated with brain stem atrophy in adult patients.
DOI: 10.6084/m9.figshare.5242132
title: U–Pb–Hf isotopes and trace elements of metasomatic zircon delimit the evolution of neoproterozoic Capané ophiolite in the southern Brasiliano Orogen

description: The Capané ophiolite is a fragment of oceanic lithosphere obducted into the Ediacaran Porongos fold and thrust belt, southern Brasiliano Orogen. A studied rodingite blackwall contained in serpentinite has metasomatic zircon that displays multiple U–Pb ages from Tonian to Cryogenian (793 ± 0.9, 757 ± 2.1, 715 ± 2.2 Ma). The ages are interpreted as corresponding to multiple alteration events in the mantle. Multiple U–Pb–Hf isotopes and trace element analyses on the same crystals by laser ablation were controlled by backscatered electron images. Hf isotopes indicate zircon origin from a depleted mantle (<i>ε</i>Hf = +15 to +10.7), and trace elements point to an oceanic origin. The Capané ophiolite thus marks the evolution of the Adamastor ocean during the Tonian and Cryogenian, a significant result for the reconstruction of Rodinia and Gondwana supercontinents.
DOI: 10.6084/m9.figshare.5242153.v1
title: Virtual Genome Walking in Ambystoma mexicanum

description: VGW scaffold sequences, input cDNAs and related GFF files. Files included:<br>VGWmerged.fasta The merged VGW scaffoldsAnnotated_cDNA.fasta The input cDNA transcriptsvgw.gff The input cDNAs mapped to the scaffoldsalltranscripts.gff All of our transcripts mapped to the scaffolds500Ns.gff The 500N breaks between contigsVGWmerged.fasta_RM_out.gff RepeatMasker outputcoverage_repeats.gff positions where read coverage exceeds 50 consensi.fa.classified repeat library generated by RepeatScout
DOI: 10.6084/m9.figshare.5242111
title: Erratum: Chronic Mesenteric Ischemia: Patient Outcomes Using Open Surgical Revascularization

description: <b><i>Background:</i></b> Chronic mesenteric ischemia (CMI) is a rare disease. Open treatment (OT) remains a valuable treatment option. We analyzed patient outcomes after OT and investigated health-related quality of life (HRQoL). <b><i>Methods:</i></b> Data were analyzed retrospectively. The investigation period was from January 1, 2001, to December 31, 2014. We investigated mortality and patency rates using Kaplan-Meier analysis. HRQoL was measured using a 36-item health survey. Various statistical methods were employed. <b><i>Results:</i></b> A total of 100 patients (celiac trunk [TC: <i>n</i> = 23], superior mesenteric artery [SMA: <i>n</i> = 26], or both [<i>n</i> = 51]) were included. Median follow-up was 5 ± 35 months. One-year survival rate for TC was 75 ± 11%, for SMA: 79 ± 10%, and for both: 96 ± 3%. TC 5-year survival was 75 ± 11% (SMA: 57 ± 16%: both: 80 ± 8%). Obesity and the length of hospital stay were independently associated with patient survival (<i>p</i> &lt; 0.05). Primary 1-year patency rate was 60 ± 13% for TC (SMA: 86 ± 10%; both: 71 ± 8%) and secondary 1-year patency rate was 84 ± 9% for TC (SMA: 100%; both: 79 ± 7%). HRQoL was inferior compared to the German normative data (<i>p</i> &lt; 0.05). <b><i>Conclusion:</i></b> CMI overlaps between gastrointestinal and vascular surgery. OT is safe, and simultaneous revascularization of the TC and the SMA does not affect mortality. Patients would not necessarily benefit from OT in terms of HRQoL.
DOI: 10.6084/m9.figshare.5242114
title: Erratum: Dermoscopy of Malignant Skin Tumours: What's New?

description: Dermoscopy represents a new and effective tool that assists dermatologists in improving the accuracy of clinical diagnosis in onco-dermatology. The aim of this article is to provide an overview of the latest and important dermoscopic progress and observations in this ever-evolving field of dermatology.