cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.2885308.v321
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x (590d57f32fed). See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2182720
title: Statistics Annex

description: Statistical complement to methods described in Frixione et al. Assessing individual research in Mexico PLOS ONE 2016
DOI: 10.6084/m9.figshare.2182729.v1
title: Diagnostic accuracy of lateral flow urine LAM assay for TB screening of adults with advanced immunosuppression attending routine HIV care in South Africa

description: Dataset for evaluation of diagnostic accuracy of Determine TB-LAM (LF-LAM) to screen for tuberculosis among ambulatory adults established in HIV care with CD4&lt;200x10<sup>6</sup>/l, in South Africa. <br>
DOI: 10.6084/m9.figshare.2951263.v326
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2182756.v2
title: Nutritional status of maintenance dialysis patients: Low lean body mass index and obesity are common, protein-energy wasting is uncommon.

description: <b>Nutritional status of maintenance dialysis patients: Low lean body mass index and obesity is common, protein-energy wasting is uncommon</b> <b>Abstract</b> <b>Background and aims:</b> Maintenance dialysis patients are at increased risk of abnormal nutritional status due to numerous causative factors, both nutritional and non-nutritional. The present study assessed the current prevalence of protein-energy wasting, low lean body mass index and obesity in maintenance dialysis patients, and compared different methods of nutritional assessment. <b></b> <b>Methods: </b>In a cross-sectional study conducted in 2014 at Roskilde Hospital, Denmark, we performed anthropometry (body weight, skinfolds, mid-arm, waist, and hip circumferences), and determined plasma albumin and normalized protein catabolic rate in order to assess the prevalence of protein-energy wasting, low lean body mass index and obesity in these patients.<b></b> <b>Results:</b> Seventy-nine eligible maintenance dialysis patients participated. The prevalence of protein-energy wasted patients was 4% (95% CI: 2-12) as assessed by the coexistence of low lean body mass index and low fat mass index. Low lean body mass index was seen in 32% (95% CI: 22-44). Obesity prevalence as assessed from fat mass index was 43% (95% CI: 32-55). Coexistence of low lean body mass index and obesity was seen in 10% (95% CI: 5-19). The prevalence of protein-energy wasting and obesity varied considerably, depending on nutritional assessment methodology. <b>Conclusions:</b> Our data indicate that protein-energy wasting is uncommon, whereas low lean body mass index and obesity are frequent conditions among patients in maintenance dialysis. A focus on how to increase and preserve lean body mass in dialysis patients is suggested in the future. In order to clearly distinguish between shortage, sufficiency and abundance of protein and/or fat deposits in maintenance dialysis patients, we suggest the simple measurements of lean body mass index and fat mass index.
DOI: 10.6084/m9.figshare.2182756.v4
title: Nutritional status of maintenance dialysis patients: Low lean body mass index and obesity are common, protein-energy wasting is uncommon.

description: <b>Nutritional status of maintenance dialysis patients: Low lean body mass index and obesity is common, protein-energy wasting is uncommon</b> <b>Abstract</b> <b>Background and aims:</b> Maintenance dialysis patients are at increased risk of abnormal nutritional status due to numerous causative factors, both nutritional and non-nutritional. The present study assessed the current prevalence of protein-energy wasting, low lean body mass index and obesity in maintenance dialysis patients, and compared different methods of nutritional assessment. <b></b> <b>Methods: </b>In a cross-sectional study conducted in 2014 at Roskilde Hospital, Denmark, we performed anthropometry (body weight, skinfolds, mid-arm, waist, and hip circumferences), and determined plasma albumin and normalized protein catabolic rate in order to assess the prevalence of protein-energy wasting, low lean body mass index and obesity in these patients.<b></b> <b>Results:</b> Seventy-nine eligible maintenance dialysis patients participated. The prevalence of protein-energy wasted patients was 4% (95% CI: 2-12) as assessed by the coexistence of low lean body mass index and low fat mass index. Low lean body mass index was seen in 32% (95% CI: 22-44). Obesity prevalence as assessed from fat mass index was 43% (95% CI: 32-55). Coexistence of low lean body mass index and obesity was seen in 10% (95% CI: 5-19). The prevalence of protein-energy wasting and obesity varied considerably, depending on nutritional assessment methodology. <b>Conclusions:</b> Our data indicate that protein-energy wasting is uncommon, whereas low lean body mass index and obesity are frequent conditions among patients in maintenance dialysis. A focus on how to increase and preserve lean body mass in dialysis patients is suggested in the future. In order to clearly distinguish between shortage, sufficiency and abundance of protein and/or fat deposits in maintenance dialysis patients, we suggest the simple measurements of lean body mass index and fat mass index.
DOI: 10.6084/m9.figshare.2885308.v322
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x (590d57f32fed). See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2182684
title: Transcriptome assembly of T. ambionensis

description: Transcriptome assembly of Toxorhynchites ambionensis generated by Trinity.
DOI: 10.6084/m9.figshare.2951263.v327
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2182756.v3
title: Nutritional status of maintenance dialysis patients: Low lean body mass index and obesity are common, protein-energy wasting is uncommon.

description: <b>Nutritional status of maintenance dialysis patients: Low lean body mass index and obesity is common, protein-energy wasting is uncommon</b> <b>Abstract</b> <b>Background and aims:</b> Maintenance dialysis patients are at increased risk of abnormal nutritional status due to numerous causative factors, both nutritional and non-nutritional. The present study assessed the current prevalence of protein-energy wasting, low lean body mass index and obesity in maintenance dialysis patients, and compared different methods of nutritional assessment. <b></b> <b>Methods: </b>In a cross-sectional study conducted in 2014 at Roskilde Hospital, Denmark, we performed anthropometry (body weight, skinfolds, mid-arm, waist, and hip circumferences), and determined plasma albumin and normalized protein catabolic rate in order to assess the prevalence of protein-energy wasting, low lean body mass index and obesity in these patients.<b></b> <b>Results:</b> Seventy-nine eligible maintenance dialysis patients participated. The prevalence of protein-energy wasted patients was 4% (95% CI: 2-12) as assessed by the coexistence of low lean body mass index and low fat mass index. Low lean body mass index was seen in 32% (95% CI: 22-44). Obesity prevalence as assessed from fat mass index was 43% (95% CI: 32-55). Coexistence of low lean body mass index and obesity was seen in 10% (95% CI: 5-19). The prevalence of protein-energy wasting and obesity varied considerably, depending on nutritional assessment methodology. <b>Conclusions:</b> Our data indicate that protein-energy wasting is uncommon, whereas low lean body mass index and obesity are frequent conditions among patients in maintenance dialysis. A focus on how to increase and preserve lean body mass in dialysis patients is suggested in the future. In order to clearly distinguish between shortage, sufficiency and abundance of protein and/or fat deposits in maintenance dialysis patients, we suggest the simple measurements of lean body mass index and fat mass index.
DOI: 10.6084/m9.figshare.2182672
title: Climate change influences on the global potential distribution of bluetongue virus

description: The geographic distribution of arboviruses has received considerable attention after several dramatic emergence events around the world. Bluetongue virus (BTV) is<br>classified among category "A" diseases notifiable to the World Organization of Animal Health (OIE), and is transmitted among ruminants by biting midges of the genus<br><i>Culicoides</i>. Here, we developed a comprehensive occurrence data set to map the current distribution, estimate the ecological niche, and explore the future potential distribution of BTV globally using ecological niche modeling and based on diverse future climate scenarios from general circulation models (GCMs) for four representative concentration pathways (RCPs). The broad ecological niche and potential geographic distribution of BTV under present-day conditions reflected the disease's current distribution across the world in tropical, subtropical, and temperate regions. Under future-climate conditions, the potential distribution of BTV was predicted to broaden, especially in central Africa, United States, and western Russia. <br><br>The data set presented here includes all thresholded models for each GCM model in four RCPs; RCP 2.6, RCP 4.5, RCP 6.0, and RCP 8.5. <br><br>Please check the "ReadMe" file for more information about files description. <br><br>
DOI: 10.6084/m9.figshare.2182684.v2
title: Transcriptome assembly of T. ambionensis

description: Transcriptome assembly of Toxorhynchites ambionensis generated by Trinity.
DOI: 10.6084/m9.figshare.2885308.v323
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x (590d57f32fed). See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2951263.v328
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2182684.v1
title: Transcriptome assembly of T. ambionsis

description: Transcriptome assembly of Toxorhynchites ambionsis generated by Trinity.
DOI: 10.6084/m9.figshare.2885308.v324
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x (590d57f32fed). See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2951263.v329
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2182672.v2
title: Climate change influences on the global potential distribution of bluetongue virus

description: The geographic distribution of arboviruses has received considerable attention after several dramatic emergence events around the world. Bluetongue virus (BTV) is<br>classified among category "A" diseases notifiable to the World Organization of Animal Health (OIE), and is transmitted among ruminants by biting midges of the genus<br><i>Culicoides</i>. Here, we developed a comprehensive occurrence data set to map the current distribution, estimate the ecological niche, and explore the future potential distribution of BTV globally using ecological niche modeling and based on diverse future climate scenarios from general circulation models (GCMs) for four representative concentration pathways (RCPs). The broad ecological niche and potential geographic distribution of BTV under present-day conditions reflected the disease's current distribution across the world in tropical, subtropical, and temperate regions. Under future-climate conditions, the potential distribution of BTV was predicted to broaden, especially in central Africa, United States, and western Russia. <br><br>The data set presented here includes all thresholded models for each GCM model in four RCPs; RCP 2.6, RCP 4.5, RCP 6.0, and RCP 8.5. <br><br>Please check the "ReadMe" file for more information about files description. <br><br>
DOI: 10.6084/m9.figshare.2182672.v1
title: Climate change influences on the global potential distribution of bluetongue virus

description: The geographic distribution of arboviruses has received considerable attention after several dramatic emergence events around the world. Bluetongue virus (BTV) is<br>classified among category "A" diseases notifiable to the World Organization of Animal Health (OIE), and is transmitted among ruminants by biting midges of the genus<br><i>Culicoides</i>. Here, we developed a comprehensive occurrence data set to map the current distribution, estimate the ecological niche, and explore the future potential distribution of BTV globally using ecological niche modeling and based on diverse future climate scenarios from general circulation models (GCMs) for four representative concentration pathways (RCPs). The broad ecological niche and potential geographic distribution of BTV under present-day conditions reflected the disease's current distribution across the world in tropical, subtropical, and temperate regions. Under future-climate conditions, the potential distribution of BTV was predicted to broaden, especially in central Africa, United States, and western Russia. <br><br>The data set presented here includes all thresholded models for each GCM model in four RCPs; RCP 2.6, RCP 4.5, RCP 6.0, and RCP 8.5. <br><br>
DOI: 10.6084/m9.figshare.2885308.v325
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x (590d57f32fed). See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2182654
title: Articles on plant elicitors published in Phytoma (1990-2007)

description: <b>Articles on plant elicitors published in the French professional magazine Phytoma between 1990 and 2007, out of an average of 121 articles per year.</b>
DOI: 10.6084/m9.figshare.2951263.v330
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2168530
title: MAKER GFF output for P. kernoviae Scottish strain 00238/432

description: Configuration files and results of running Maker2 pipeline on the genome sequence of strain 00238/432
DOI: 10.6084/m9.figshare.2171737
title: Beyond Attributable Risk: Study output data from International Futures (IFs)

description: These are output data for the paper "Beyond Attributable Burden: Estimating the avoidable burden of disease associated with household air pollution". The study was conducted in the International Futures (IFs) forecasting system version 7.01. This file contains specific outputs used in publication of the paper: <br>1)forecast estimates of the total number of stoves by category (traditional, improved, modern) for each GBD superregion for all years 2010-2050 (worksheet labelled "Stoves")2) forecast estimates of deaths in each scenario for 2010-2050 by sex for key causes related to Household Air Pollution (worksheet labelled "Deaths"). 3) forecast estimates of Disability-Adjusted Life Years for each sex, cause, region group (worksheet labelled "DALYs")<br><b> </b>To use the full IFs model, visit http://pardee.du.edu/access-ifs. Select version 7.01 to use the exact modeling conditions of this study and to see the cookstove scenarios.
DOI: 10.6084/m9.figshare.2885308.v326
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x (590d57f32fed). See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2168530.v1
title: MAKER GFF output for P. kernoviae Scottish strain 00238/432

description: Configuration files and results of running Maker2 pipeline on the genome sequence of strain 00238/432
DOI: 10.6084/m9.figshare.2171737.v1
title: Beyond Attributable Risk: Study output data from International Futures (IFs)

description: These are output data for the paper "Beyond Attributable Burden: Estimating the avoidable burden of disease associated with household air pollution". The study was conducted in the International Futures (IFs) forecasting system version 7.01. This file contains specific outputs used in publication of the paper: <br>1)forecast estimates of the total number of stoves by category (traditional, improved, modern) for each GBD superregion for all years 2010-2050 (worksheet labelled "Stoves")2) forecast estimates of deaths in each scenario for 2010-2050 by sex for key causes related to Household Air Pollution (worksheet labelled "Deaths"). 3) forecast estimates of Disability-Adjusted Life Years for each sex, cause, region group (worksheet labelled "DALYs")<br><b> </b>To use the full IFs model, visit http://pardee.du.edu/access-ifs. Select version 7.01 to use the exact modeling conditions of this study and to see the cookstove scenarios.
DOI: 10.6084/m9.figshare.2157379
title: Supplementary material for Towards a Barrier Height Benchmark Set for Biologically Relevant Systems

description: PM6coordinates.zip<br>PM6 optimized geometries in xyz format (see README files in folders)PM6optimizations.zip (Table 4)<br>Gaussian input and output files for PM6 optimizations on large and small systems PM6large.zip (Table 1)<br>MOPAC input and output files for PM6, PM7, and PM7-TS single point energy calculations on large systems. Gas phase PM6 calculations are in "pm6m" folder. There are also many more additional files not used for the paper. PM6gas.zip (Tables 2-3)<br>MOPAC input and output files for PM6, PM7, and PM7-TS gas phase single point energy calculations on all systems and all sizes DFTB3sp (Tabes 1-3)<br>DFTB+ output files for all DFTB3 single point calculationsLink to Google Sheet used for data analysis: https://goo.gl/Mh4f9bFile naming scheme<br>AspDC = 1UHE<br>PTE = 1HZY<br>HKMT = 1O9S<br>HheC = 1PWZ<br>4-OT = 4OTA
DOI: 10.6084/m9.figshare.2159455
title: Commercial Activitites in Rome in the year 2004

description: The database contains the retail commercial activities active in Rome at the year 2004. Data contains the category code (name specified in the file DATABASE_Roma_category names.txt") registration date, and their geographical position.
DOI: 10.6084/m9.figshare.2885308.v327
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x (590d57f32fed). See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2159455.v1
title: Commercial Activitites in Rome in the year 2004

description: The database contains the retail commercial activities active in Rome at the year 2004. Data contains the category code (name specified in the file DATABASE_Roma_category names.txt") registration date, and their geographical position.
DOI: 10.6084/m9.figshare.2951263.v331
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2157379.v1
title: Supplementary material for Towards a Barrier Height Benchmark Set for Biologically Relevant Systems

description: PM6coordinates.zip<br>PM6 optimized geometries in xyz format (see README files in folders)PM6optimizations.zip (Table 4)<br>Gaussian input and output files for PM6 optimizations on large and small systems PM6large.zip (Table 1)<br>MOPAC input and output files for PM6, PM7, and PM7-TS single point energy calculations on large systems. Gas phase PM6 calculations are in "pm6m" folder. There are also many more additional files not used for the paper. PM6gas.zip (Tables 2-3)<br>MOPAC input and output files for PM6, PM7, and PM7-TS gas phase single point energy calculations on all systems and all sizes DFTB3sp (Tabes 1-3)<br>DFTB+ output files for all DFTB3 single point calculationsLink to Google Sheet used for data analysis: https://goo.gl/Mh4f9bFile naming scheme<br>AspDC = 1UHE<br>PTE = 1HZY<br>HKMT = 1O9S<br>HheC = 1PWZ<br>4-OT = 4OTA
DOI: 10.6084/m9.figshare.2182654.v2
title: Articles on plant elicitors published in Phytoma (1990-2007)

description: <b>Articles on plant elicitors published in the French professional magazine Phytoma between 1990 and 2007, out of an average of 121 articles per year.</b>
DOI: 10.6084/m9.figshare.2885308.v328
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x (590d57f32fed). See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2885308.v329
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x (590d57f32fed). See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2951263.v332
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.