cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23641/asha.22096622.v1
title: Comorbidity and severity in childhood apraxia of speech (Chenausky et al., 2023)

description: <strong>Purpose: </strong>The purpose of this study was to investigate comorbidity prevalence and patterns in childhood apraxia of speech (CAS) and their relationship to severity. <strong>Method:</strong> In this retroactive cross-sectional study, medical records for 375 children with CAS (<em>M</em><sub>age</sub> = 4;9 [years;months], <em>SD</em> = 2;9) were examined for comorbid conditions. The total number of comorbid conditions and the number of communication-related comorbidities were regressed on CAS severity as rated by speech-language pathologists during diagnosis. The relationship between CAS severity and the presence of four common comorbid conditions was also examined using ordinal or multinomial regressions. <strong>Results:</strong> Overall, 83 children were classified with mild CAS; 35, with moderate CAS; and 257, with severe CAS. Only one child had no comorbidities. The average number of comorbid conditions was 8.4 (<em>SD</em> = 3.4), and the average number of communication-related comorbidities was 5.6 (<em>SD</em> = 2.2). Over 95% of children had comorbid expressive language impairment. Children with comorbid intellectual disability (78.1%), receptive language impairment (72.5%), and nonspeech apraxia (37.3%; including limb, nonspeech oromotor, and oculomotor apraxia) were significantly more likely to have severe CAS than children without these comorbidities. However, children with comorbid autism spectrum disorder (33.6%) were no more likely to have severe CAS than children without autism. <strong>Conclusions: </strong>Comorbidity appears to be the rule, rather than the exception, for children with CAS. Comorbid intellectual disability, receptive language impairment, and nonspeech apraxia confer additional risk for more severe forms of CAS. Findings are limited by being from a convenience sample of participants but inform future models of comorbidity. <strong>Supplemental Material S1. </strong>Table of comorbid conditions, categories, and rates of occurrence. Chenausky, K. V., Baas, B., Stoeckel, R., Brown, T., Green, J. R., Runke, C., Schimmenti, L., & Clark, H. (2023). Comorbidity and severity in childhood apraxia of speech: A retrospective chart review. <em>Journal of Speech, Language, and Hearing Research, 66</em>(3), 791–803. https://doi.org/10.1044/2022_JSLHR-22-00436
DOI: 10.26030/x1et-v026
title: Arabidopsis thaliana in altered gravity: the 14-3-3κ:GFP overexpression line in C-9 parabolic flight, 2013

description: The increasing availability of flights on suborbital rockets creates new avenues for the study of spaceflight effects on biological systems, in particular the transitions between hypergravity and microgravity. This paper presents an initial comparison of the responses of Arabidopsis thaliana to suborbital and atmospheric parabolic flights as an important step toward characterizing these emerging suborbital platforms and their effects on biology. Transcriptomic profiling of the response of the Arabidopsis ecotype Wassilewskija (WS) to the aggregate spaceflight experiences in the Blue Origin New Shepard and Virgin Galactic SpaceShipTwo rockets revealed that the transcriptomic load induced by flight differed greatly between the two flights, yet was biologically related to traditional parabolic flight responses. The sku5 skewing mutant and 14-3-3κ:GFP regulatory protein overexpression lines each showed altered intra-platform responses compared to WS in the Blue Origin and parabolic flights, respectively. An additional parabolic flight using the F-104 Starfighter showed that the response of 14-3-3κ:GFP to flight was modulated in a similar manner to the WS line. Despite the differing genotypes, experimental workflows, flight profiles and platforms, alteration of gene expression remodeling central metabolic processes was commonly observed as a response to the flights. The processes included carbon and nitrogen metabolism, branched-chain amino acid degradation, and hypoxic responses. The timing and directionality of differentially-expressed genes involved in the conserved pathways differed among the platforms. The data presented herein highlight the potential for various suborbital platforms to contribute insights into biological responses to spaceflight, and further suggest that in-flight fixation during suborbital experiments will provide insights into responses to each phase of flight.
DOI: 10.6084/m9.figshare.23696910
title: Actin Cytoskeletal Dynamics Do Not Impose an Energy Drain on Growth Cone Bioenergetics

description: The growth cone was defined as the distal 10 microns of the axon shaft. If a growth cone exhibited lamellipodia then the distal most extent of the lamellipodium was taken as the distal most point on the growth cone, if not the distal most extent of the axon shaft was used as the defining distal point. Quantitative analysis of images was performed using Zeiss AxioVision software. The region of interest encompassing the growth cone was outlined and measurements of mean pixel fluorescence intensity in all relevant channels was determined for generation of ratios. For each channel, the mean intensity value obtained from the background of the image not containing any cells was subtracted from the mean intensity in the growth cone region of interest prior to determination of the ratio. Acquisition settings were chosen to generate maximum pixel values between 20-30% of the dynamic range to allow for detection of both decreases and increases in intensity in response to experimental treatments.
DOI: 10.6084/m9.figshare.23696910.v1
title: Actin Cytoskeletal Dynamics Do Not Impose an Energy Drain on Growth Cone Bioenergetics

description: The growth cone was defined as the distal 10 microns of the axon shaft. If a growth cone exhibited lamellipodia then the distal most extent of the lamellipodium was taken as the distal most point on the growth cone, if not the distal most extent of the axon shaft was used as the defining distal point. Quantitative analysis of images was performed using Zeiss AxioVision software. The region of interest encompassing the growth cone was outlined and measurements of mean pixel fluorescence intensity in all relevant channels was determined for generation of ratios. For each channel, the mean intensity value obtained from the background of the image not containing any cells was subtracted from the mean intensity in the growth cone region of interest prior to determination of the ratio. Acquisition settings were chosen to generate maximum pixel values between 20-30% of the dynamic range to allow for detection of both decreases and increases in intensity in response to experimental treatments.
DOI: 10.5281/zenodo.7844473
title: Spatial Heterogeneity in Hedonic Price Effects for Lake Water Quality

description: This database provides model results, elasticity estimates, and descriptive statistics for output from Spatial Heterogeneity in Hedonic Price Effects for Lake Water Quality manuscript. DOI: https://doi.org/10.3368/le.100.1.102122-0086R
DOI: 10.5281/zenodo.7844472
title: Spatial Heterogeneity in Hedonic Price Effects for Lake Water Quality

description: This database provides model results, elasticity estimates, and descriptive statistics for output from Spatial Heterogeneity in Hedonic Price Effects for Lake Water Quality manuscript. DOI: https://doi.org/10.3368/le.100.1.102122-0086R
DOI: 10.6084/m9.figshare.23617236
title: Supplementary Material for: Global burden and its association with socioeconomic development status of meningitis caused by specific pathogens over the past 30 years: a population-based study

description: Background Meningitis is a severe and fatal neurological disease and causes lots of disease burden. The purpose of this study was to assess the global, regional, and national burdens and trends of meningitis by age, sex, and aetiology. Methods Data on the burden of meningitis were collected from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019. R and Joinpoint were used for statistical analysis and charting. Results In 2019, meningitis caused 236,222 deaths and 15,649,865 years of life lost (YLL) worldwide. The age-standardized death rate and age-standardized YLL rate of meningitis were 3.29 and 225, which decreased steadily. Burden change was mainly driven by epidemiological changes. Regionally, meningitis burden was the highest in Sub-Saharan Africa. Burden of disease increasingly concentrated in low sociodemographic Index (SDI) countries, and this was most pronounced in meningitis caused by N. meningitidis. Countries such as Mali, Nigeria, Sierra Leone, etc. especially need to enhance the rational allocation of public health resources to reduce the disease burden. Children and men were more likely to be affected by meningitis. PM2.5 was found to be an important risk factor. Conclusions This study provides the first comprehensive understanding of the global disease burden of meningitis caused by specific pathogens and highlights policy priorities to protect human health worldwide, with particular attention to vulnerable regions, susceptible populations, environmental factors and specific pathogens.
DOI: 10.6084/m9.figshare.23617236.v1
title: Supplementary Material for: Global burden and its association with socioeconomic development status of meningitis caused by specific pathogens over the past 30 years: a population-based study

description: Background Meningitis is a severe and fatal neurological disease and causes lots of disease burden. The purpose of this study was to assess the global, regional, and national burdens and trends of meningitis by age, sex, and aetiology. Methods Data on the burden of meningitis were collected from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019. R and Joinpoint were used for statistical analysis and charting. Results In 2019, meningitis caused 236,222 deaths and 15,649,865 years of life lost (YLL) worldwide. The age-standardized death rate and age-standardized YLL rate of meningitis were 3.29 and 225, which decreased steadily. Burden change was mainly driven by epidemiological changes. Regionally, meningitis burden was the highest in Sub-Saharan Africa. Burden of disease increasingly concentrated in low sociodemographic Index (SDI) countries, and this was most pronounced in meningitis caused by N. meningitidis. Countries such as Mali, Nigeria, Sierra Leone, etc. especially need to enhance the rational allocation of public health resources to reduce the disease burden. Children and men were more likely to be affected by meningitis. PM2.5 was found to be an important risk factor. Conclusions This study provides the first comprehensive understanding of the global disease burden of meningitis caused by specific pathogens and highlights policy priorities to protect human health worldwide, with particular attention to vulnerable regions, susceptible populations, environmental factors and specific pathogens.
DOI: 10.5281/zenodo.7504616
title: BioDeepTime: database and compilation code

description: The archive includes copies, compilation code, documentation and temporary data files for the BioDeepTime database. <strong>Deposited files:</strong> Relational database in SQLite format: <code>biodeeptime_sqlite.zip</code>. Denormalized database in zipped .csv format: <code>biodeeptime_csv.zip</code> Denormalized database in zipped .parquet (v1.0) format: <code>biodeeptime_parquet.zip</code>. Denormalized database in .rds (R version 4.0) format: <code>biodeeptime.rds</code>. Description of tables and columns: <code>biodeeptime.md.</code> Database schema: <code>schema.pdf.</code> Synonymy of sources: <code>Synonymy of sources.xlsx.</code> Change log and known issues: <code>NEWS.md</code> Compilation files: <code>bdt_compilation.zip</code> References in .csv format: <code>references.csv</code> References in .rds format: <code>references.rds</code> Reference bibtex entries: <code>references.bib</code> Bchron ages calculated for Neotoma: <code>neotoma_bchron.rds</code> This repository accompanies the study <em>BioDeepTime: a database of biodiversity time series for modern and fossil assemblages</em> by Smith et al. (In Press).
DOI: 10.5281/zenodo.7504617
title: BioDeepTime: database and compilation code

description: The archive includes copies, compilation code, documentation and temporary data files for the BioDeepTime database. <strong>Deposited files:</strong> Relational database in SQLite format: <code>biodeeptime_sqlite.zip</code>. Denormalized database in zipped .csv format: <code>biodeeptime_csv.zip</code> Denormalized database in zipped .parquet (v1.0) format: <code>biodeeptime_parquet.zip</code>. Denormalized database in .rds (R version 4.0) format: <code>biodeeptime.rds</code>. Description of tables and columns: <code>biodeeptime.md.</code> Database schema: <code>schema.pdf.</code> Synonymy of sources: <code>Synonymy of sources.xlsx.</code> Change log and known issues: <code>NEWS.md</code> Compilation files: <code>bdt_compilation.zip</code> References in .csv format: <code>references.csv</code> Bchron ages calculated for Neotoma: <code>neotoma_bchron.rds</code> This repository accompanies the study <em>BioDeepTime: a database of biodiversity time series for modern and fossil assemblages</em> by Smith et al. (pending publication) and will be updated after a successful peer-review.
DOI: 10.5281/zenodo.8154672
title: BioDeepTime: database and compilation code

description: The archive includes copies, compilation code, documentation and temporary data files for the BioDeepTime database. <strong>Deposited files:</strong> Relational database in SQLite format: <code>biodeeptime_sqlite.zip</code>. Denormalized database in zipped .csv format: <code>biodeeptime_csv.zip</code> Denormalized database in zipped .parquet (v1.0) format: <code>biodeeptime_parquet.zip</code>. Denormalized database in .rds (R version 4.0) format: <code>biodeeptime.rds</code>. Description of tables and columns: <code>biodeeptime.md.</code> Database schema: <code>schema.pdf.</code> Synonymy of sources: <code>Synonymy of sources.xlsx.</code> Change log and known issues: <code>NEWS.md</code> Compilation files: <code>bdt_compilation.zip</code> References in .csv format: <code>references.csv</code> References in .rds format: <code>references.rds</code> Reference bibtex entries: <code>references.bib</code> Bchron ages calculated for Neotoma: <code>neotoma_bchron.rds</code> This repository accompanies the study <em>BioDeepTime: a database of biodiversity time series for modern and fossil assemblages</em> by Smith et al. (In Press).
DOI: 10.34740/kaggle/dsv/6150313
title: Wine Quality Data (Combined)
DOI: 10.6084/m9.figshare.23694354
title: <strong>Groundwater effects on net primary productivity and soil organic carbon: a global analysis</strong>

description: The data and R code to reproduce the results of the manuscript entitled "Groundwater effects on net primary productivity and soil organic carbon: a global analysis" are provided in this repository. <br> Following files are provided: (1) README.txt: Additional information of R code and data. (2) WTD-NPP-SOC.R : R code for statistical analysis. (3) Basin07_100.tif : Basin boundary gridded dataset (basins with areas &lt; 100 km<sup>2</sup> have been filtered out to avoid unrobust results). (4) WTD_GDbelow5.tif : Groundwater table depth gridded dataset (grid cells with the gap distance ≤ 5 m are used for statistical analysis). (5) NPPmean_GDbelow5.tif : Annual average NPP (2000-2015) gridded dataset (grid cells with the gap distance ≤ 5 m are used for statistical analysis). (6) NPPsd_GDbelow5.tif : Standard deviation of annual average NPP (2000-2015) gridded dataset (grid cells with the gap distance ≤ 5 m are used for statistical analysis). (7) sc015_GDbelow5.tif : Soil organic carbon stock of shallow soil layer from 0 to 15 cm depth gridded dataset (grid cells with the gap distance ≤ 5 m are used for statistical analysis). (8) sc0200_GDbelow5.tif : Soil organic carbon stock of deep soil layer from 0 to 200 cm depth gridded dataset (grid cells with the gap distance ≤ 5 m are used for statistical analysis). (9) Basin07_centxy_region.csv : Table of the center cordinates and the regional information of basins. (10) BasinIDnew.csv : Table of reordered ID of basins. (11) Environmental_factors.csv : Table of environmental factors of basins. (12) Cor_WTD_NPPmean.csv : Results of WTD-NPP mean correlations. (13) Cor_WTD_NPPsd.csv : Results of WTD-NPP SD(standard deviation) correlations. (14) Cor_WTD_sc015.csv : Results of WTD-SOC correlations at 0-15 cm soil deep. (15) Cor_WTD_sc0200.csv : Results of WTD-SOC correlations at 0-200 cm soil deep. (16) PWTDNPPmean.gal : Spatial weights of positive WTD-NPP mean correlations. (17) NWTDNPPmean.gal : Spatial weights of negative WTD-NPP mean correlations. (18) PWTDNPPsd.gal : Spatial weights of positive WTD-NPP SD correlations. (19) NWTDNPPsd.gal : Spatial weights of negative WTD-NPP SD correlations. (20) PWTDsc015.gal : Spatial weights of positive WTD-SOC correlations at 0-15 cm soil deep. (21) NWTDsc015.gal : Spatial weights of negative WTD-SOC correlations at 0-15 cm soil deep. (22) PWTDsc0200.gal : Spatial weights of positive WTD-SOC correlations at 0-200 cm soil deep. (23) NWTDsc0200.gal : Spatial weights of negative WTD-SOC correlations at 0-200 cm soil deep. (24) BestSAR_coe.csv : Coefficients between WTD-NPP/SOC relationships and environmental factors from the optimal SAR models. (25) BestSAR_p.csv : P-values of the coefficients between WTD-NPP/SOC relationships and environmental factors from the optimal SAR models.
DOI: 10.6084/m9.figshare.23694354.v1
title: <strong>Groundwater effects on net primary productivity and soil organic carbon: a global analysis</strong>

description: The data and R code to reproduce the results of the manuscript entitled "Groundwater effects on net primary productivity and soil organic carbon: a global analysis" are provided in this repository. <br> Following files are provided: (1) README.txt: Additional information of R code and data. (2) WTD-NPP-SOC.R : R code for statistical analysis. (3) Basin07_100.tif : Basin boundary gridded dataset (basins with areas &lt; 100 km<sup>2</sup> have been filtered out to avoid unrobust results). (4) WTD_GDbelow5.tif : Groundwater table depth gridded dataset (grid cells with the gap distance ≤ 5 m are used for statistical analysis). (5) NPPmean_GDbelow5.tif : Annual average NPP (2000-2015) gridded dataset (grid cells with the gap distance ≤ 5 m are used for statistical analysis). (6) NPPsd_GDbelow5.tif : Standard deviation of annual average NPP (2000-2015) gridded dataset (grid cells with the gap distance ≤ 5 m are used for statistical analysis). (7) sc015_GDbelow5.tif : Soil organic carbon stock of shallow soil layer from 0 to 15 cm depth gridded dataset (grid cells with the gap distance ≤ 5 m are used for statistical analysis). (8) sc0200_GDbelow5.tif : Soil organic carbon stock of deep soil layer from 0 to 200 cm depth gridded dataset (grid cells with the gap distance ≤ 5 m are used for statistical analysis). (9) Basin07_centxy_region.csv : Table of the center cordinates and the regional information of basins. (10) BasinIDnew.csv : Table of reordered ID of basins. (11) Environmental_factors.csv : Table of environmental factors of basins. (12) Cor_WTD_NPPmean.csv : Results of WTD-NPP mean correlations. (13) Cor_WTD_NPPsd.csv : Results of WTD-NPP SD(standard deviation) correlations. (14) Cor_WTD_sc015.csv : Results of WTD-SOC correlations at 0-15 cm soil deep. (15) Cor_WTD_sc0200.csv : Results of WTD-SOC correlations at 0-200 cm soil deep. (16) PWTDNPPmean.gal : Spatial weights of positive WTD-NPP mean correlations. (17) NWTDNPPmean.gal : Spatial weights of negative WTD-NPP mean correlations. (18) PWTDNPPsd.gal : Spatial weights of positive WTD-NPP SD correlations. (19) NWTDNPPsd.gal : Spatial weights of negative WTD-NPP SD correlations. (20) PWTDsc015.gal : Spatial weights of positive WTD-SOC correlations at 0-15 cm soil deep. (21) NWTDsc015.gal : Spatial weights of negative WTD-SOC correlations at 0-15 cm soil deep. (22) PWTDsc0200.gal : Spatial weights of positive WTD-SOC correlations at 0-200 cm soil deep. (23) NWTDsc0200.gal : Spatial weights of negative WTD-SOC correlations at 0-200 cm soil deep. (24) BestSAR_coe.csv : Coefficients between WTD-NPP/SOC relationships and environmental factors from the optimal SAR models. (25) BestSAR_p.csv : P-values of the coefficients between WTD-NPP/SOC relationships and environmental factors from the optimal SAR models.
DOI: 10.6084/m9.figshare.23696880.v1
title: Drought adaptation and trade-off analysis in mature Douglas-fir forests

description: Data in file "absolute_benefit_scores.csv" includes absolute benefit scores for 18 mature Douglas-fir-dominated stands in western Oregon, for 9 different management objective metrics. Further details are provided in the README file of the same name, and detailed information on this data is provided in a submitted manuscript, currently in peer review. <br> Data in file "raw_ring_width_final_treelist.csv" are the tree-ring width measurements for the period 1980 - 2016 for over 1,000 trees in 24 mature Douglas-fir-dominated stands in western Oregon. Further details are provided in the README file of the same name, and more detailed information is provided in a submitted manuscript, currently in peer review.
DOI: 10.6084/m9.figshare.23696880
title: Drought adaptation and trade-off analysis in mature Douglas-fir forests

description: Data in file "absolute_benefit_scores.csv" includes absolute benefit scores for 18 mature Douglas-fir-dominated stands in western Oregon, for 9 different management objective metrics. Further details are provided in the README file of the same name, and detailed information on this data is provided in a submitted manuscript, currently in peer review. <br> Data in file "raw_ring_width_final_treelist.csv" are the tree-ring width measurements for the period 1980 - 2016 for over 1,000 trees in 24 mature Douglas-fir-dominated stands in western Oregon. Further details are provided in the README file of the same name, and more detailed information is provided in a submitted manuscript, currently in peer review.
DOI: 10.5519/qd.647tktf5
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (7 records)