cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23641/asha.14110445
title: ACT4CAS (Beiting & Maas, 2021)

description: <b>Purpose: </b>A subset of children with autism spectrum disorder (ASD) has speech sound disorders, including childhood apraxia of speech (CAS). To date, virtually all speech treatment studies consider ASD an exclusionary criterion, resulting in little scientific evidence for treatment of CAS for children who also have ASD. This study proposes and tests a novel approach, Autism-Centered Therapy for Childhood Apraxia of Speech (ACT4CAS), as a theoretically and clinically informed speech treatment option for this population.<b>Method: </b>Using a multiple-baseline design within and across participants, three children with co-occurring ASD and CAS received 11–18 treatment sessions. Treatment targets were individually designed and matched with untreated control words. Probes were administered at the start of each session to assess speech production accuracy perceptually. Changes in production accuracy were examined through visual inspection and quantified with effect sizes. <b>Results:</b> Findings were mixed, with one child showing significant gains for half of the treated targets at follow-up and two children showing no clear improvement.<b>Conclusions: </b>Preliminary evidence suggests potentially positive treatment effects for ACT4CAS when implemented as intended, although treatment intensity and disorder severity likely influence treatment outcome. Replication and comparison of ACT4CAS to other speech treatments is needed.<br><b>Supplemental Material S1.</b> Target selection. <br>Beiting, M., & Maas, E. (2021). Autism-Centered Therapy for Childhood Apraxia of Speech (ACT4CAS): A single-case experimental design study.<i> American Journal of Speech-Language Pathology. </i>Advance online publication. https://doi.org/10.1044/2020_AJSLP-20-00131<br><b>Publisher Note: </b>This article is part of the Special Issue: Select Papers From the 2020 Conference on Motor Speech.
DOI: 10.6084/m9.figshare.13184909
title: Raw data for Main figures 1-7 and Supplemental Figures 1-28

description: Data files for "A dysfunctional TRPV4–GSK3β pathway prevents osteoarthritic chondrocytes from sensing changes in extracellular matrix viscoelasticity".
DOI: 10.5281/zenodo.4465441
title: PySStuBs: Single-Statement Bugs in Popular Open-Source Python Projects

description: A dataset with 73,013 single-statement bugs (also known as simple stupid bugs, or SStuBs) matching 23 different patterns collected from 1,000 popular open-source python projects on GitHub.
DOI: 10.3886/e113721v1-80740
title: Replication data for: Job Search Periods for Welfare Applicants: Evidence from a Randomized Experiment

description: We combine a randomized experiment with administrative data to study the effects of mandatory job search periods in the Dutch welfare system. Job search periods postpone the first welfare benefits payment and encourage applicants to start searching for jobs actively. Job search periods substantially reduce benefits take up. The decline in benefits receipt is permanent, but fully compensated by increased earnings because of higher reemployment rates. We do not find detectable effects on health and crime outcomes, nor do we observe income declines for more vulnerable applicants. Our results suggest that job search periods are an effective instrument for targeting benefits to welfare applicants.
DOI: 10.3886/e105404v1-80620
title: Family and the Field

description: Field-based data collection provides an extraordinary opportunity for comparative research. However, the demands of pursuing research away from home creates an expectation of unburdened individuals who have the temporal, financial, and social resources to conduct this work. Here we examine whether this myth of the socially unencumbered scholar contributes to the loss of professionals and trainees. To investigate this, we conducted an internet-based survey of professional and graduate student anthropologists (n = 1025) focused on the challenges and barriers associated with developing and maintaining a fieldwork-oriented career path and an active family life. This study sought to determine how (1) family socioeconomic status impacts becoming an anthropologist, (2) expectations of field-based research influence family planning, and (3) fieldwork experiences influence perceptions of family-career balance and stress. We found that most anthropologists and anthropology students come from educated households and that white men were significantly more likely to become tenured professionals than other demographic groups. The gender disparity is striking because a larger number of women are trained in anthropology and were more likely than men to report delaying parenthood to pursue their career. Furthermore, regardless of socioeconomic background, anthropologists reported significant lack of family-career balance and high stress associated with the profession. For professionals, lack of balance was most associated with gender, age, SES, tenure, and impacts of parenting on their career, while for students it was ethnicity relative degree speed, graduate funding, employment status, total research conducted, career impact on family planning, and concern with tenure (p &lt; .05). Anthropology bridges the sciences and humanities, making it the ideal discipline to initiate discussions on the embedded structural components of field-based careers generalizable across specialties.
DOI: 10.3886/e113863v1-80762
title: Replication data for: Marriage Networks, Nepotism, and Labor Market Outcomes in China

description: This paper considers the role of marriage in improving labor market outcomes through the expansion of an individual's networks. I focus on the impact of the relationship with the father-in-law on a young man's career using panel data from China. The identification strategy isolates the network effects related to a man's father-in-law by examining the post-marriage death of a father-in-law. The estimates suggest that the loss of the father-in-law translates into a decrease in a man's earnings of 7 percent.
DOI: 10.5517/ccdc.csd.cc1ph6lz
title: CCDC 1563751: Experimental Crystal Structure Determination

description: Related Article: Ming-Liang Tong, Jin Wang, Quan-Wen Li, Si-Guo Wu, Yan-Cong Chen, Rui-Chen Wan, Guo-Zhang Huang, Yang Liu, Jun-Liang Liu, Daniel Reta, Marcus J. Giansiracusa, Zhen-Xing Wang, Nicholas F. Chilton|2021|Angew.Chem.,Int.Ed.|60|5299|doi:10.1002/anie.202014993
DOI: 10.5517/ccdc.csd.cc1ph6m0
title: CCDC 1563752: Experimental Crystal Structure Determination

description: Related Article: Ming-Liang Tong, Jin Wang, Quan-Wen Li, Si-Guo Wu, Yan-Cong Chen, Rui-Chen Wan, Guo-Zhang Huang, Yang Liu, Jun-Liang Liu, Daniel Reta, Marcus J. Giansiracusa, Zhen-Xing Wang, Nicholas F. Chilton|2021|Angew.Chem.,Int.Ed.|60|5299|doi:10.1002/anie.202014993
DOI: 10.5517/ccdc.csd.cc22cvs3
title: CCDC 1918025: Experimental Crystal Structure Determination

description: Related Article: Ming-Liang Tong, Jin Wang, Quan-Wen Li, Si-Guo Wu, Yan-Cong Chen, Rui-Chen Wan, Guo-Zhang Huang, Yang Liu, Jun-Liang Liu, Daniel Reta, Marcus J. Giansiracusa, Zhen-Xing Wang, Nicholas F. Chilton|2021|Angew.Chem.,Int.Ed.|60|5299|doi:10.1002/anie.202014993
DOI: 10.5517/ccdc.csd.cc22cvt4
title: CCDC 1918026: Experimental Crystal Structure Determination

description: Related Article: Ming-Liang Tong, Jin Wang, Quan-Wen Li, Si-Guo Wu, Yan-Cong Chen, Rui-Chen Wan, Guo-Zhang Huang, Yang Liu, Jun-Liang Liu, Daniel Reta, Marcus J. Giansiracusa, Zhen-Xing Wang, Nicholas F. Chilton|2021|Angew.Chem.,Int.Ed.|60|5299|doi:10.1002/anie.202014993
DOI: 10.5517/ccdc.csd.cc268d1y
title: CCDC 2033849: Experimental Crystal Structure Determination

description: Related Article: Lei Liu, Kevin C. Courtney, Sean W. Huth, Leslie A. Rank, Bernard Weisblum, Edwin R. Chapman, Samuel H. Gellman|2021|J.Am.Chem.Soc.|143|3219|doi:10.1021/jacs.0c12731
DOI: 10.5517/ccdc.csd.cc268d2z
title: CCDC 2033850: Experimental Crystal Structure Determination

description: Related Article: Lei Liu, Kevin C. Courtney, Sean W. Huth, Leslie A. Rank, Bernard Weisblum, Edwin R. Chapman, Samuel H. Gellman|2021|J.Am.Chem.Soc.|143|3219|doi:10.1021/jacs.0c12731
DOI: 10.5517/ccdc.csd.cc25nl7p
title: CCDC 2015782: Experimental Crystal Structure Determination

description: Related Article: Fei Zhang, Haipeng Lu, Bryon W. Larson, Chuanxiao Xiao, Sean P. Dunfield, Obadiah G. Reid, Xihan Chen, Mengjin Yang, Joseph J. Berry, Matthew C. Beard, Kai Zhu|2021|Cell Press: Chem|7|774|doi:10.1016/j.chempr.2020.12.023
description: Related Article: FEI ZHANG|2020|CSD Communication|||
DOI: 10.6084/m9.figshare.12094104
title: Metabolomics Workbench mwTab and JSON formatted data files (as of Nov. 20th, 2020)

description: FigShare repository containing four .zip archives. The first, 'data_11_20_2020.zip' contains original 'mwTab' and JSON formatted data files downloaded from Metabolomics Workbench as of Nov 20th, 2020. The second, 'mwtab-dev.zip' contains a developer version of the 'mwtab' Python package which was used to analysis the Metabolomics Workbench data repository. The third, 'analysis.zip' contains the ipython notebook script which was used to conduct the analysis. The fourth and final, 'examples.zip' contains three ipython notebooks (and and html duplicates of each) which provide an API usage example (API_examples.ipynb), CLI usage example (CLI_examples.ipynb), and an example of how to find analyses associated with a specific disease (diabetes_examples.ipynb).
DOI: 10.6084/m9.figshare.8982074
title: Hospital-related, maternal, and fetal risk factors for neonatal asphyxia and moderate or severe hypoxic-ischemic encephalopathy: a retrospective cohort study

description: A previous large US study had documented an increased risk of asphyxia in small volume and rural hospitals. Our objective was to evaluate this in all hospitals in Alberta, a Canadian province. Retrospective cohort study of all singleton births ≥ 35-week gestation, in Alberta, from 2002–16 recorded in a perinatal database. Asphyxia was defined as intrapartum stillbirth or neonatal death from asphyxia or Neonatal Intensive Care Unit admission and at least two of the following: a. Apgar score of ≤ 5 at 10 minutes; b. mechanical ventilation or chest compressions for resuscitation within 10 minutes; c. cord pH 3600 annual births and Rural: The overall rate of neonatal asphyxia was 2.28 per 1000 births for the study period and was 2.5/1000 in the urban hospitals and 1.35/1000 in the rural hospitals, OR: 1.86 95% CI (1.58, 2.19). The rate of moderate or severe neonatal hypoxic-ischemic encephalopathy was 0.9/1000 and was not associated with urban hospital birth; OR: 1.12 95%CI (0.82, 1.53) hospital volume was also not associated with asphyxia or moderate or severe neonatal hypoxic-ischemic encephalopathy. This study observed similar rates of asphyxia and moderate or severe neonatal hypoxic-ischemic encephalopathy for rural and urban hospitals in Alberta and no association with hospital volume.
DOI: 10.6084/m9.figshare.8982074.v1
title: Hospital-related, maternal, and fetal risk factors for neonatal asphyxia and moderate or severe hypoxic-ischemic encephalopathy: a retrospective cohort study

description: A previous large US study had documented an increased risk of asphyxia in small volume and rural hospitals. Our objective was to evaluate this in all hospitals in Alberta, a Canadian province. Retrospective cohort study of all singleton births ≥ 35-week gestation, in Alberta, from 2002–16 recorded in a perinatal database. Asphyxia was defined as intrapartum stillbirth or neonatal death from asphyxia or Neonatal Intensive Care Unit admission and at least two of the following: a. Apgar score of ≤ 5 at 10 minutes; b. mechanical ventilation or chest compressions for resuscitation within 10 minutes; c. cord pH 3600 annual births and Rural: The overall rate of neonatal asphyxia was 2.28 per 1000 births for the study period and was 2.5/1000 in the urban hospitals and 1.35/1000 in the rural hospitals, OR: 1.86 95% CI (1.58, 2.19). The rate of moderate or severe neonatal hypoxic-ischemic encephalopathy was 0.9/1000 and was not associated with urban hospital birth; OR: 1.12 95%CI (0.82, 1.53) hospital volume was also not associated with asphyxia or moderate or severe neonatal hypoxic-ischemic encephalopathy. This study observed similar rates of asphyxia and moderate or severe neonatal hypoxic-ischemic encephalopathy for rural and urban hospitals in Alberta and no association with hospital volume.
DOI: 10.6084/m9.figshare.14037724.v1
title: Additional file 2 of Development and validation of the predictive risk of death model for adult patients admitted to intensive care units in Japan: an approach to improve the accuracy of healthcare quality measures

description: Additional file 2. Model 3 predicted mortality calculation.
DOI: 10.6084/m9.figshare.14037724
title: Additional file 2 of Development and validation of the predictive risk of death model for adult patients admitted to intensive care units in Japan: an approach to improve the accuracy of healthcare quality measures

description: Additional file 2. Model 3 predicted mortality calculation.
DOI: 10.6084/m9.figshare.13186074
title: Additional file 11 of Treatment- and population-specific genetic risk factors for anti-drug antibodies against interferon-beta: a GWAS

description: Additional file 11. Genomic inflation factors for all GWAS. Lambda = Median genomic inflation factor.
DOI: 10.6084/m9.figshare.13186077
title: Additional file 12 of Treatment- and population-specific genetic risk factors for anti-drug antibodies against interferon-beta: a GWAS

description: Additional file 12. Table of the top GWAS associations. Variants prioritized in the discovery GWAS (bold font if replicated) and top variants from the pooled analysis of discovery + replication data. All effect sizes are relative to the minor allele. Bp = base pairs, MAF = minor allele frequency, beta = regression effect size, SE = standard error, P = p-value, cond. = conditional analysis, R2 = linkage disequilibrium r2.
DOI: 10.6084/m9.figshare.13186074.v1
title: Additional file 11 of Treatment- and population-specific genetic risk factors for anti-drug antibodies against interferon-beta: a GWAS

description: Additional file 11. Genomic inflation factors for all GWAS. Lambda = Median genomic inflation factor.
DOI: 10.6084/m9.figshare.13186077.v1
title: Additional file 12 of Treatment- and population-specific genetic risk factors for anti-drug antibodies against interferon-beta: a GWAS

description: Additional file 12. Table of the top GWAS associations. Variants prioritized in the discovery GWAS (bold font if replicated) and top variants from the pooled analysis of discovery + replication data. All effect sizes are relative to the minor allele. Bp = base pairs, MAF = minor allele frequency, beta = regression effect size, SE = standard error, P = p-value, cond. = conditional analysis, R2 = linkage disequilibrium r2.
DOI: 10.6084/m9.figshare.13186086
title: Additional file 15 of Treatment- and population-specific genetic risk factors for anti-drug antibodies against interferon-beta: a GWAS

description: Additional file 15. Results from stepwise conditional analyses. Results from stepwise conditional analyses on the pooled discovery and replication data. Genome-wide significant p-values are labeled in bold font. All effect sizes are relative to the minor allele. Bp = base pairs, MAF = minor allele frequency, beta = regression effect size, SE = standard error, P = p-value, R2 = linkage disequilibrium r2.
DOI: 10.6084/m9.figshare.13186086.v1
title: Additional file 15 of Treatment- and population-specific genetic risk factors for anti-drug antibodies against interferon-beta: a GWAS

description: Additional file 15. Results from stepwise conditional analyses. Results from stepwise conditional analyses on the pooled discovery and replication data. Genome-wide significant p-values are labeled in bold font. All effect sizes are relative to the minor allele. Bp = base pairs, MAF = minor allele frequency, beta = regression effect size, SE = standard error, P = p-value, R2 = linkage disequilibrium r2.
DOI: 10.6084/m9.figshare.13186089.v1
title: Additional file 16 of Treatment- and population-specific genetic risk factors for anti-drug antibodies against interferon-beta: a GWAS

description: Additional file 16. Results from eQTL analyses. Summary statistics as downloaded from GTEx v8 ( https://gtexportal.org/ ). Significance thresholds are shown in the column Gene-level P threshold.
DOI: 10.6084/m9.figshare.13186089
title: Additional file 16 of Treatment- and population-specific genetic risk factors for anti-drug antibodies against interferon-beta: a GWAS

description: Additional file 16. Results from eQTL analyses. Summary statistics as downloaded from GTEx v8 ( https://gtexportal.org/ ). Significance thresholds are shown in the column Gene-level P threshold.
DOI: 10.6084/m9.figshare.13186092
title: Additional file 17 of Treatment- and population-specific genetic risk factors for anti-drug antibodies against interferon-beta: a GWAS

description: Additional file 17. Results from MAGMA gene set analyses. FDR = 5% false discovery rate.
DOI: 10.6084/m9.figshare.13186092.v1
title: Additional file 17 of Treatment- and population-specific genetic risk factors for anti-drug antibodies against interferon-beta: a GWAS

description: Additional file 17. Results from MAGMA gene set analyses. FDR = 5% false discovery rate.
DOI: 10.6084/m9.figshare.13186110.v1
title: Additional file 22 of Treatment- and population-specific genetic risk factors for anti-drug antibodies against interferon-beta: a GWAS

description: Additional file 22. Association statistics of all replicated HLA alleles. AF = allele frequency, beta = regression effect size, SE = standard error, P = p-value, cond. = conditional analysis.
DOI: 10.6084/m9.figshare.13186110
title: Additional file 22 of Treatment- and population-specific genetic risk factors for anti-drug antibodies against interferon-beta: a GWAS

description: Additional file 22. Association statistics of all replicated HLA alleles. AF = allele frequency, beta = regression effect size, SE = standard error, P = p-value, cond. = conditional analysis.
DOI: 10.6084/m9.figshare.13186113
title: Additional file 23 of Treatment- and population-specific genetic risk factors for anti-drug antibodies against interferon-beta: a GWAS

description: Additional file 23. Results from analyses of previously published candidate SNPs and HLA alleles. Variants, alleles, and the respective p-values are labeled in bold font if they showed a one-sided p
DOI: 10.6084/m9.figshare.13186116.v1
title: Additional file 24 of Treatment- and population-specific genetic risk factors for anti-drug antibodies against interferon-beta: a GWAS

description: Additional file 24. Treatment preparation-specific prediction of the presence of nADA in the replication data. Eight PRS, the top single GWAS variant, and the top HLA allele from the discovery stage were analyzed in the replication data using the covariates sex, age, treatment preparation, treatment duration, titration site, and eight ancestry components. Upper table: Prediction of the presence of nADA in IFNβ-1a s.c.-treated patients from the replication data using all ten prediction models based on analyses for IFNβ-1a s.c. in the discovery data. Lower table: Prediction of the presence of nADA in IFNβ-1b s.c.-treated patients from the replication data using all ten prediction models based on analyses for IFNβ-1b s.c. in the discovery data. Beta = regression effect size, SE = standard error, P = p-value.
DOI: 10.6084/m9.figshare.13186113.v1
title: Additional file 23 of Treatment- and population-specific genetic risk factors for anti-drug antibodies against interferon-beta: a GWAS

description: Additional file 23. Results from analyses of previously published candidate SNPs and HLA alleles. Variants, alleles, and the respective p-values are labeled in bold font if they showed a one-sided p
DOI: 10.6084/m9.figshare.13186116
title: Additional file 24 of Treatment- and population-specific genetic risk factors for anti-drug antibodies against interferon-beta: a GWAS

description: Additional file 24. Treatment preparation-specific prediction of the presence of nADA in the replication data. Eight PRS, the top single GWAS variant, and the top HLA allele from the discovery stage were analyzed in the replication data using the covariates sex, age, treatment preparation, treatment duration, titration site, and eight ancestry components. Upper table: Prediction of the presence of nADA in IFNβ-1a s.c.-treated patients from the replication data using all ten prediction models based on analyses for IFNβ-1a s.c. in the discovery data. Lower table: Prediction of the presence of nADA in IFNβ-1b s.c.-treated patients from the replication data using all ten prediction models based on analyses for IFNβ-1b s.c. in the discovery data. Beta = regression effect size, SE = standard error, P = p-value.
DOI: 10.25345/c5qf8j
title: MassIVE MSV000087015 - A proteomic study for NETosis inhibitor target deconvolution
title: Proteomic datasets to deconvolute protein target of a NETosis inhibitor for the manuscript prepared by Amara et al.
DOI: 10.6084/m9.figshare.14184105.v1
title: Additional file 9 of Adaptation and convergence in circadian‐related genes in Iberian freshwater fish

description: Additional file 9: Table S8. Summary of sites with evidence of increased dN/dS ratios (estimated β) on lineages of Squalius pyrenaicus (Almargem) and S. aradensis lineages (foreground) with evidence of convergence, corresponding changes in amino acids and predicted protein impacts.
DOI: 10.6084/m9.figshare.14184102.v1
title: Additional file 8 of Adaptation and convergence in circadian‐related genes in Iberian freshwater fish

description: Additional file 8: Table S7. Summary of sites with evidence of increased dN/dS ratios (estimated β) on Squalius torgalensis and S. aradensis clade (foreground) or in S. carolitertii, S. pyrenaicus clade (background), corresponding changes in amino acids and predicted protein impacts.
DOI: 10.6084/m9.figshare.14184099.v1
title: Additional file 7 of Adaptation and convergence in circadian‐related genes in Iberian freshwater fish

description: Additional file 7: Table S6. Summary of branch-site positive selection analysis using the aBSREL method implemented in Datamonkey webserver.
DOI: 10.6084/m9.figshare.14184096.v1
title: Additional file 6 of Adaptation and convergence in circadian‐related genes in Iberian freshwater fish

description: Additional file 6: Table S5. Summary of sites detected to be under positive selection using MEME and FUBAR methods, and corresponding changes in amino acid and predicted impacts.
DOI: 10.6084/m9.figshare.14184093.v1
title: Additional file 5 of Adaptation and convergence in circadian‐related genes in Iberian freshwater fish

description: Additional file 5: Table S4. Summary of gene-wide positive selection analysis in circadian-related genes using the BUSTED method implemented in Datamonkey webserver.
DOI: 10.6084/m9.figshare.14184090.v1
title: Additional file 4 of Adaptation and convergence in circadian‐related genes in Iberian freshwater fish

description: Additional file 4: Table S3. Patterns of protein-protein interactions for circadian-related protein predicted with STRING v10.5 with a threshold of 0.7 for score.
DOI: 10.6084/m9.figshare.14184087.v1
title: Additional file 3 of Adaptation and convergence in circadian‐related genes in Iberian freshwater fish

description: Additional file 3: Table S2. List of Danio rerio and Drosophila melanogaster Uniprot accession ID for target proteins and ENA accession IDs for corresponding coding genes.
DOI: 10.6084/m9.figshare.14184084.v1
title: Additional file 2 of Adaptation and convergence in circadian‐related genes in Iberian freshwater fish

description: Additional file 2: Table S1. Circadian related genes identified with respective annotations obtained in functional annotation analysis. ENA accession numbers are for non-redundant Squalius sequences obtained by Sanger sequencing in this work.