cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23641/asha.12568475.v1
title: Tinnitus and Mental Distress (Reavis et al., 2020)

description: <b>Purpose:</b> The aim of this study was to examine therelationship between tinnitus and self-reported mental healthdistress, namely, depression symptoms and perceivedanxiety, in adults who participated in the National Healthand Nutrition Examinations Survey between 2009 and2012. A secondary aim was to determine if a history ofserving in the military modified the associations betweentinnitus and mental health distress.<b>Method:</b> This was a cross-sectional study design of anational data set that included 5,550 U.S. community-dwelling adults ages 20 years and older, 12.7% of whomwere military Veterans. Bivariable and multivariable logisticregression was used to estimate the association betweentinnitus and mental health distress. All measures werebased on self-report. Tinnitus and perceived anxiety wereeach assessed using a single question. Depression symptoms were assessed using the Patient Health Questionnaire, a validated questionnaire. Multivariable regression models were adjusted for key demographic and health factors, including self-reported hearing ability.<b>Results:</b> Prevalence of tinnitus was 15%. Compared toadults without tinnitus, adults with tinnitus had a 1.8-foldincrease in depression symptoms and a 1.5-fold increase inperceived anxiety after adjusting for potential confounders.Military Veteran status did not modify these observedassociations.<b>Conclusions:</b> Findings revealed an association betweentinnitus and both depression symptoms and perceivedanxiety, independent of potential confounders, among bothVeterans and non-Veterans. These results suggest, on apopulation level, that individuals with tinnitus have a greaterburden of perceived mental health distress and may benefitfrom interdisciplinary health care, self-help, and community-based interventions.<br>Reavis, K. M., Henry J. A., Marshall, L. M., & Carlson, K. F. (2020). Prevalence of self-reported depressionsymptoms and perceived anxiety among community-dwelling U.S. adults reporting tinnitus. Perspectives of the ASHA Special Interest Groups. Advance online publication. https://doi.org/10.1044/2020_PERSP-19-00178
DOI: 10.6084/m9.figshare.12568283
title: Dual tobacco use among young adult peer crowds

description: Data were used to examine the association between peer crowd affiliation and dual tobacco use among young adults
DOI: 10.6084/m9.figshare.12568193
title: Dataset_S3_RRE_domains

description: Contains information on all of the sequences retrieved from UniProtKB by precision mode of RRE-Finder. Included are which precision model retrieved the sequence, the UniProt accession identifiers, bit score significance, discrete vs. fused, and taxonomical information.
DOI: 10.6084/m9.figshare.12568136
title: Dataset_S4_Pfam_filtering

description: Pfams filtered out by exploratory mode of RRE-Finder to reduce false-positive rate (RRE domains are homologous to DNA-binding transcriptional activators)
DOI: 10.6084/m9.figshare.12568196
title: COVID-19 - SONA.sav

description: Qualtrics derive data on COVID-19 from college students.
DOI: 10.6084/m9.figshare.12568196.v1
title: COVID-19 - SONA.sav

description: Qualtrics derive data on COVID-19 from college students.
DOI: 10.6084/m9.figshare.12568001
title: uceasy-tutorial.tar.gz

description: Data for UCEasy tutorial
DOI: 10.6084/m9.figshare.12568001.v1
title: uceasy-tutorial.tar.gz

description: Data for UCEasy tutorial
DOI: 10.6084/m9.figshare.12568136.v1
title: Dataset_S4_Pfam_filtering

description: Pfams filtered out by exploratory mode of RRE-Finder to reduce false-positive rate (RRE domains are homologous to DNA-binding transcriptional activators)
DOI: 10.6084/m9.figshare.12567740
title: Data for 'Enhanced mixing across the gyre boundary at the Gulf Stream front'

description: Data used in Wenegrat et al. 2020: Enhanced mixing across the gyre boundary at the Gulf Stream front. Proceedings of the National Academy of Sciences. This contains observational data from the Scalable Lateral Mixing and Coherent Turbulence (LatMix) 2012 field campaign.
DOI: 10.6084/m9.figshare.12567740.v2
title: Data for 'Enhanced mixing across the gyre boundary at the Gulf Stream front'

description: Data used in Wenegrat et al. 2020: Enhanced mixing across the gyre boundary at the Gulf Stream front. Proceedings of the National Academy of Sciences. This contains observational data from the Scalable Lateral Mixing and Coherent Turbulence (LatMix) 2012 field campaign.
DOI: 10.6084/m9.figshare.12567740.v1
title: Data for 'Enhanced mixing across the gyre boundary at the Gulf Stream front'

description: Data used in Wenegrat et al. 2020: Enhanced mixing across the gyre boundary at the Gulf Stream front. Proceedings of the National Academy of Sciences. This contains observational data from the Scalable Lateral Mixing and Coherent Turbulence (LatMix) 2012 field campaign.
DOI: 10.6084/m9.figshare.12564080
title: 10A_1_H3K.bw

description: MCF10A cells immunoprecipitated with H3K27ac to pull down enhancer sites
DOI: 10.6084/m9.figshare.12564101
title: Arvizu_AllData.xlsx

description: Indirect predator effects influence behaviour without influencing morphology or performance of a juvenile fish
DOI: 10.6084/m9.figshare.12564071
title: Turbulence_LS_ANN.hdf

description: This dataset contains the seasonal and annual mean turbulence dissipation rate in the free atmosphere, which is calculated using Thorpe analysis, based on 8 years (2011-2018) of high-resolution radiosonde measurements in China. The turbulence dissipation rate dataset includes 15 files, corresponding to three height intervals: the lower troposphere (LT), the upper troposphere (UT), and the lower stratosphere (LS), each of which has five subsets: spring (MAM), summer (JJA), autumn (SON), winter (DJF) and annual (ANN) averages. This dataset is named in the form of “Turbulence_Height_Time.hdf”, in which “height interval” represents LT, UT and LS, whereas “Time” represents MAM, JJA, SON, DJF and ANN. Each file contains an array representing the horizontal distribution of seasonally and annually averaged turbulence dissipation rate at three different height intervals: including LT, UT and LS. The size of the array in each file is 81 by 131 over the spatial domain bounded by 15-55°N in latitude and 70-135°E with a grid spacing of 0.5°. Note that the coordinates of the upper leftmost grid for each file is 15°N, 70°E.
DOI: 10.6084/m9.figshare.12564080.v1
title: 10A_1_H3K.bw

description: MCF10A cells immunoprecipitated with H3K27ac to pull down enhancer sites
DOI: 10.25380/iastate.12563924
title: Experimental data for study of kinetics of plastic strain induced phase transition in ultra pure Zirconium

description: To study the kinetics of plastic strain induced phase transition, three experimental runs were performed on ultra pure plastically pre-deformed zirconium sample employing rotational diamond anvil cell (RDAC). Sample was prescribed to different complex compression/torsion paths as described in the associated publication. The x-ray diffraction (XRD) measurements were carried out in axial geometry. In order to get the radial profiles of pressure and phase fraction, the sample was scanned across culet diameter in steps of 10 microns in each compression/torsion condition and XRD image was recorded at each scanning position.
DOI: 10.6084/m9.figshare.12564071.v1
title: Turbulence_LS_ANN.hdf

description: This dataset contains the seasonal and annual mean turbulence dissipation rate in the free atmosphere, which is calculated using Thorpe analysis, based on 8 years (2011-2018) of high-resolution radiosonde measurements in China. The turbulence dissipation rate dataset includes 15 files, corresponding to three height intervals: the lower troposphere (LT), the upper troposphere (UT), and the lower stratosphere (LS), each of which has five subsets: spring (MAM), summer (JJA), autumn (SON), winter (DJF) and annual (ANN) averages. This dataset is named in the form of “Turbulence_Height_Time.hdf”, in which “height interval” represents LT, UT and LS, whereas “Time” represents MAM, JJA, SON, DJF and ANN. Each file contains an array representing the horizontal distribution of seasonally and annually averaged turbulence dissipation rate at three different height intervals: including LT, UT and LS. The size of the array in each file is 81 by 131 over the spatial domain bounded by 15-55°N in latitude and 70-135°E with a grid spacing of 0.5°. Note that the coordinates of the upper leftmost grid for each file is 15°N, 70°E.
DOI: 10.25380/iastate.12563924.v1
title: Experimental data for study of kinetics of plastic strain induced phase transition in ultra pure Zirconium

description: To study the kinetics of plastic strain induced phase transition, three experimental runs were performed on ultra pure plastically pre-deformed zirconium sample employing rotational diamond anvil cell (RDAC). Sample was prescribed to different complex compression/torsion paths as described in the associated publication. The x-ray diffraction (XRD) measurements were carried out in axial geometry. In order to get the radial profiles of pressure and phase fraction, the sample was scanned across culet diameter in steps of 10 microns in each compression/torsion condition and XRD image was recorded at each scanning position.
DOI: 10.6084/m9.figshare.12563864
title: Supplemental material for Seifuddin et al. 2020

description: Title: "lncRNAKB: A Knowledgebase of Tissue-specific Functional Annotation and Trait Association of Long Noncoding RNA"<br><b>Dataset contains all supplementary figures and tables:<br></b><br><b>Figure 1:</b> Illustration showing the different classes of lncRNAs with respect to localization and the direction of transcription of nearby mRNA (protein-coding genes)<br><b>Figure 2: </b>Distribution of successfully assigned RNA-seq reads to lncRNAKB gene annotation using GTEx v7. Red bars represent samples with &lt;106 assigned reads<br><b>Table 1: </b>Summary results of the SMR analysis in 323 GWAS traits from the UK Biobank. For each trait, it shows the total number of subjects, number of cases and controls, prevalence of disease and the number of genes with pSMR ≤0.05 (genes prioritized by SMR) by tissue<br><b>Table 2:</b> Number of transcripts and the sources of annotations at gene level for non-coding genes in CHESS and lncRNAKB<br><b>Table 3: </b>Number of RNA-seq samples that were analyzed across 31 solid human normal tissues from GTEx<br><b>Table 4: </b>Summary statistics of alignment (total number of paired-end reads, total number of uniquely aligned paired-end reads, unique and overall alignment rate) and quantification (total gene count, total number of uniquely aligned paired-end reads used for quantification, total number of uniquely aligned paired-end reads assigned to genes and proportion of successfully assigned paired-end reads to genes) across all RNA-seq samples analyzed by tissue from GTEx<br><b>Table 5: </b>Summary results of the WGCNA analysis and over-representation analysis (ORA) based on the hypergeometric test using the Gene Ontology (GO) terms across all the modules in 28 solid human normal tissues using the GTEx RNA-seq data<br><br><br>
DOI: 10.6084/m9.figshare.12563804
title: Volos2005.xls

description: The calculations included in the excel are the ones of Singular Spectrum Analysis of 1985-1989 sunspot numbers and stroke mortality events.<br>
DOI: 10.6084/m9.figshare.12563804.v1
title: Volos2005.xls

description: The calculations included in the excel are the ones of Singular Spectrum Analysis of 1985-1989 sunspot numbers and stroke mortality events.<br>
DOI: 10.6084/m9.figshare.12563864.v1
title: Supplemental material for Seifuddin et al. 2020

description: Title: "lncRNAKB: A Knowledgebase of Tissue-specific Functional Annotation and Trait Association of Long Noncoding RNA"<br>Dataset contains all supplementary figures and tables.<br>
DOI: 10.6084/m9.figshare.12563864.v3
title: Supplemental material for Seifuddin et al. 2020

description: Title: "lncRNAKB: A Knowledgebase of Tissue-specific Functional Annotation and Trait Association of Long Noncoding RNA"<br><b>Dataset contains all supplementary figures and tables:<br></b><br><b>Figure 1:</b> Illustration showing the different classes of lncRNAs with respect to localization and the direction of transcription of nearby mRNA (protein-coding genes)<br><b>Figure 2: </b>Distribution of successfully assigned RNA-seq reads to lncRNAKB gene annotation using GTEx v7. Red bars represent samples with &lt;106 assigned reads<br><b>Table 1: </b>Summary results of the SMR analysis in 323 GWAS traits from the UK Biobank. For each trait, it shows the total number of subjects, number of cases and controls, prevalence of disease and the number of genes with pSMR ≤0.05 (genes prioritized by SMR) by tissue<br><b>Table 2:</b> Number of transcripts and the sources of annotations at gene level for non-coding genes in CHESS and lncRNAKB<br><b>Table 3: </b>Number of RNA-seq samples that were analyzed across 31 solid human normal tissues from GTEx<br><b>Table 4: </b>Summary statistics of alignment (total number of paired-end reads, total number of uniquely aligned paired-end reads, unique and overall alignment rate) and quantification (total gene count, total number of uniquely aligned paired-end reads used for quantification, total number of uniquely aligned paired-end reads assigned to genes and proportion of successfully assigned paired-end reads to genes) across all RNA-seq samples analyzed by tissue from GTEx<br><b>Table 5: </b>Summary results of the WGCNA analysis and over-representation analysis (ORA) based on the hypergeometric test using the Gene Ontology (GO) terms across all the modules in 28 solid human normal tissues using the GTEx RNA-seq data<br><br><br>
DOI: 10.6084/m9.figshare.12563864.v2
title: Supplemental material for Seifuddin et al. 2020

description: Title: "lncRNAKB: A Knowledgebase of Tissue-specific Functional Annotation and Trait Association of Long Noncoding RNA"<br><b>Dataset contains all supplementary figures and tables:<br></b><br><b>Figure 1:</b> Illustration showing the different classes of lncRNAs with respect to localization and the direction of transcription of nearby mRNA (protein-coding genes)<br><b>Figure 2: </b>Distribution of successfully assigned RNA-seq reads to lncRNAKB gene annotation using GTEx v7. Red bars represent samples with &lt;106 assigned reads<br><b>Table 1: </b>Summary results of the SMR analysis in 323 GWAS traits from the UK Biobank. For each trait, it shows the total number of subjects, number of cases and controls, prevalence of disease and the number of genes with pSMR ≤0.05 (genes prioritized by SMR) by tissue<br><b>Table 2:</b> Number of transcripts and the sources of annotations at gene level for non-coding genes in CHESS and lncRNAKB<br><b>Table 3: </b>Number of RNA-seq samples that were analyzed across 31 solid human normal tissues from GTEx<br><b>Table 4: </b>Summary statistics of alignment (total number of paired-end reads, total number of uniquely aligned paired-end reads, unique and overall alignment rate) and quantification (total gene count, total number of uniquely aligned paired-end reads used for quantification, total number of uniquely aligned paired-end reads assigned to genes and proportion of successfully assigned paired-end reads to genes) across all RNA-seq samples analyzed by tissue from GTEx<br><b>Table 5: </b>Summary results of the WGCNA analysis and over-representation analysis (ORA) based on the hypergeometric test using the Gene Ontology (GO) terms across all the modules in 28 solid human normal tissues using the GTEx RNA-seq data<br><br><br>
DOI: 10.6084/m9.figshare.12563645
title: Barrier database for France (AMBER-FR)

description: Artificial barriers are one of the main threats to river ecosystems, resulting in habitat fragmentation and loss of connectivity. Yet, the abundance and distribution of most artificial barriers, excluding high head dams, is poorly documented. We provide a global assessment of the distribution and typology of artificial barriers in France, and estimate for the first time the extent of river fragmentation. To this end, barrier data were compiled from existing databases and were ground truthed by field surveys and citizen science data to derive a correction factor for barrier density across France. <i></i><sub></sub><sup></sup><b></b><b></b><br>
DOI: 10.6084/m9.figshare.12563645.v1
title: Barrier database for France (AMBER-FR)

description: Artificial barriers are one of the main threats to river ecosystems, resulting in habitat fragmentation and loss of connectivity. Yet, the abundance and distribution of most artificial barriers, excluding high head dams, is poorly documented. We provide a global assessment of the distribution and typology of artificial barriers in France, and estimate for the first time the extent of river fragmentation. To this end, barrier data were compiled from existing databases and were ground truthed by field surveys and citizen science data to derive a correction factor for barrier density across France. <i></i><sub></sub><sup></sup><b></b><b></b><br>
DOI: 10.6084/m9.figshare.12563591
title: CCLE Aneuploidy Data

description: Table of aneuploidy information from Cohen-Sharir et al., Selective vulnerability of aneuploid human cancer cells to inhibition of the spindle assembly checkpoint. https://doi.org/10.1101/2020.06.18.159038.<br>Arm-level CNA calls and aneuploidy scores calculated based on CCLE ABSOLUTE copy number profiles (Ghandi et al., Nature, 2019).<br>For a detailed description of the methods see Cohen-Sharir et al. https://doi.org/10.1101/2020.06.18.159038.<br>
DOI: 10.6084/m9.figshare.12563594
title: JVASP-53233 to JVASP-55028

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.12563588
title: JVASP-50909 to JVASP-51727

description: JARVIS-DFT input/output files
DOI: 10.6084/m9.figshare.12563582
title: JVASP-46833 to JVASP-48400

description: JARVIS-DFT input/output files
DOI: 10.6084/m9.figshare.12563588.v1
title: JVASP-50909 to JVASP-51727

description: JARVIS-DFT input/output files
DOI: 10.6084/m9.figshare.12563495
title: Barrier database for the Iberian Peninsula (AMBER-IP )

description: Artificial barriers are one of the main threats to river ecosystems, resulting in habitat fragmentation and loss of connectivity. Yet, the abundance and distribution of most artificial barriers, excluding high head dams, is poorly documented. We provide a global assessment of the distribution and typology of artificial barriers in the Iberian Peninsula, and estimate for the first time the extent of river fragmentation. To this end, barrier data were compiled from existing databases and were ground truthed by field surveys and citizen science data in Portugal and Spain to derive a correction factor for barrier density across Iberian Peninsula.
DOI: 10.6084/m9.figshare.12563495.v1
title: Barrier database for the Iberian Peninsula (AMBER-IP )

description: Artificial barriers are one of the main threats to river ecosystems, resulting in habitat fragmentation and loss of connectivity. Yet, the abundance and distribution of most artificial barriers, excluding high head dams, is poorly documented. We provide a global assessment of the distribution and typology of artificial barriers in the Iberian Peninsula, and estimate for the first time the extent of river fragmentation. To this end, barrier data were compiled from existing databases and were ground truthed by field surveys and citizen science data in Portugal and Spain to derive a correction factor for barrier density across Iberian Peninsula.
DOI: 10.6084/m9.figshare.12563273
title: Cretaceous Oceanic Anoxic Event 2 in eastern England: further palynological and geochemical data from Melton Ross

description: Tables of supporting information (in Excel format).
DOI: 10.6084/m9.figshare.12563273.v1
title: Cretaceous Oceanic Anoxic Event 2 in eastern England: further palynological and geochemical data from Melton Ross

description: Tables of supporting information (in Excel format).
DOI: 10.25375/uct.12563381.v1
title: MOSAIC: A model to assess the cost-effectiveness of dexamethasone for admitted COVID-19 patients in South Africa

description: MODEL STRATEGIESThis model assesses costs and outcomes for admitted severe and critical Covid-19 patients from time of admission to discharge or deathTwo competing strategies are modelled:1. The "status quo" summarizes costs and outcomes for patients assuming usual care (no dexamethasone)2. The "dexamethasone" comparator summarizes costs and outcomes for patients assuming usual care with dexamethasone at 6mg/day over 10 days MODEL OUTCOMESCost: mean cost (general ward and ICU) per admitted patient from the health care provider's perspectiveHealth outcomes: mean DALYs and deaths per admitted patient Other: mean ICU days and inpatient days per admitted patient
DOI: 10.6084/m9.figshare.12563237
title: models2.zip

description: 20.000+ medical data models
DOI: 10.6084/m9.figshare.12563237.v1
title: models2.zip

description: 20.000+ medical data models
DOI: 10.25375/uct.12563381.v2
title: MOSAIC: A model to assess the cost-effectiveness of dexamethasone for admitted COVID-19 patients in South Africa

description: MODEL STRATEGIESThis model assesses costs and outcomes for admitted severe and critical Covid-19 patients from time of admission to discharge or deathTwo competing strategies are modelled:1. The "status quo" summarizes costs and outcomes for patients assuming usual care (no dexamethasone)2. The "dexamethasone" comparator summarizes costs and outcomes for patients assuming usual care with dexamethasone at 6mg/day over 10 days <br><br>MODEL OUTCOMESCost: mean cost (general ward and ICU) per admitted patient from the health care provider's perspectiveHealth outcomes: mean DALYs and deaths per admitted patient Other: mean ICU days and inpatient days per admitted patient
DOI: 10.6084/m9.figshare.12563129
title: LESSON PLAN_TESOL_Dr. SAAD ULLAH KHAN

description: LESSON PLAN
DOI: 10.6084/m9.figshare.12563192.v1
title: CovMulNet19.zip

description: CovMulNet19 is a comprehensive network containing all available known interactions involving SARS-CoV-2 proteins, interacting-human proteins, diseases and symptoms that are related to these human proteins, and compounds that can potentially target them. Extensive network analysis methods, based on a bootstrap approach, allow us to prioritise a list of diseases that display a high similarity to \covid and a list of drugs that could potentially be beneficial to treat patients. As a key feature of CovMulNet19, the inclusion of symptoms allows a deeper characterization of the disease pathology, representing a useful proxy for CoVid19-related molecular processes. We recapitulate many of the known symptoms of the disease and we find the most similar diseases to COVID-19 reflect conditions that are risk factors in patients. <br>
DOI: 10.6084/m9.figshare.12563129.v2
title: LESSON PLAN_TESOL_Dr. SAAD ULLAH KHAN

description: LESSON PLAN
DOI: 10.6084/m9.figshare.12563129.v1
title: LESSON PLAN_TESOL_Dr. SAAD ULLAH KHAN

description: LESSON PLAN
DOI: 10.6084/m9.figshare.12562820
title: Inbreeding depresses altruism in a cooperative society

description: Data used in the paper 'Inbreeding depresses altruism in a cooperative society' accepted in the journal 'Ecology Letters', along with R code used for analysis. See the associated research paper for details on data collection. In brief, the data is from a long term research project on banded mongooses (Mungos mungo) in Queen Elizabeth National Park, Uganda. The data file attached includes behavioural, life history and genetic data - see the notes in the column headings for clarification. The data was collected under licence from the Uganda Wildlife Authority and the study has been ethically reviewed by the University of Exeter.<br>If you would like to use the data for further analyses then please do not hesitate to contact Prof Michael Cant and/or Dr Hazel Nichols for clarification of the data and collection methods, and for updated versions of the data set. We welcome new collaborators and research ideas.