cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6552644
title: Quantitative Survey: Human-Robot Interaction

description: This dataset includes survey data from 306 respondents who were international postgraduate students from five European universities; four in the UK and one in Spain. They were each randomly exposed to a picture of a robot--either Geminoid DK, AIBO, or Pepper.
DOI: 10.5281/zenodo.6552643
title: Quantitative Survey: Human-Robot Interaction

description: This dataset includes survey data from 306 respondents who were international postgraduate students from five European universities; four in the UK and one in Spain. They were each randomly exposed to a picture of a robot--either Geminoid DK, AIBO, or Pepper.
DOI: 10.3886/e113691v1-118280
title: Replication data for: Racial Discrimination in the Sharing Economy: Evidence from a Field Experiment

description: In an experiment on Airbnb, we find that applications from guests with distinctively African American names are 16 percent less likely to be accepted relative to identical guests with distinctively white names. Discrimination occurs among landlords of all sizes, including small landlords sharing the property and larger landlords with multiple properties. It is most pronounced among hosts who have never had an African American guest, suggesting only a subset of hosts discriminate. While rental markets have achieved significant reductions in discrimination in recent decades, our results suggest that Airbnb's current design choices facilitate discrimination and raise the possibility of erasing some of these civil rights gains.
DOI: 10.6084/m9.figshare.16737928
title: Development of a Scoring System to Differentiate Severe Fever with Thrombocytopenia Syndrome from Scrub Typhus

description: <strong>Abstract</strong> Severe fever with thrombocytopenia syndrome (SFTS) and scrub typhus are disorders with similar clinical features; therefore, differentiating between them is difficult. We retrospectively collected data from 183 SFTS and 178 scrub typhus patients and validated an existing scoring system to develop a more sensitive, specific, and objective scoring system. We first applied the scoring systems proposed by Kim et al. to differentiate SFTS from scrub typhus. Multivariable logistic regression revealed that altered mental status, leukopenia, prolonged activated partial thromboplastin time (aPTT), and normal C-reactive protein (CRP) level (≤1.0 mg/dL) were significantly associated with SFTS. We changed the normal CRP level from ≤1.0 mg/dL to ≤3.0 mg/dL and replaced altered mental status with the creatine kinase (CK) level. The modified scoring system showed 97% sensitivity and 96% specificity for SFTS (area under the curve (AUC): 0.983) and a higher accuracy than the original scoring system (<em>p </em>= 0.0308). This study’s scoring system had 97% sensitivity and 98% specificity for SFTS (AUC: 0.992) and a higher accuracy than Kim et al.’s original scoring system (<em>p </em>= 0.0308). Our scoring system that incorporated leukopenia, prolonged aPTT, normal CRP level (≤3.0 mg/dL), and elevated CK level (&gt;1000 IU/L) easily differentiated SFTS from scrub typhus in an endemic area.
DOI: 10.6084/m9.figshare.16737928.v2
title: Development of a Scoring System to Differentiate Severe Fever with Thrombocytopenia Syndrome from Scrub Typhus

description: <strong>Abstract</strong> Severe fever with thrombocytopenia syndrome (SFTS) and scrub typhus are disorders with similar clinical features; therefore, differentiating between them is difficult. We retrospectively collected data from 183 SFTS and 178 scrub typhus patients and validated an existing scoring system to develop a more sensitive, specific, and objective scoring system. We first applied the scoring systems proposed by Kim et al. to differentiate SFTS from scrub typhus. Multivariable logistic regression revealed that altered mental status, leukopenia, prolonged activated partial thromboplastin time (aPTT), and normal C-reactive protein (CRP) level (≤1.0 mg/dL) were significantly associated with SFTS. We changed the normal CRP level from ≤1.0 mg/dL to ≤3.0 mg/dL and replaced altered mental status with the creatine kinase (CK) level. The modified scoring system showed 97% sensitivity and 96% specificity for SFTS (area under the curve (AUC): 0.983) and a higher accuracy than the original scoring system (<em>p </em>= 0.0308). This study’s scoring system had 97% sensitivity and 98% specificity for SFTS (AUC: 0.992) and a higher accuracy than Kim et al.’s original scoring system (<em>p </em>= 0.0308). Our scoring system that incorporated leukopenia, prolonged aPTT, normal CRP level (≤3.0 mg/dL), and elevated CK level (&gt;1000 IU/L) easily differentiated SFTS from scrub typhus in an endemic area.
DOI: 10.6084/m9.figshare.16737928.v1
title: Development of a scoring system to differentiate severe fever with thrombocytopenia syndrome from scrub typhus

description: <b>Abstract </b> Severe fever with thrombocytopenia syndrome (SFTS) and scrub typhus have similar clinical features, making it difficult to differentiate them. We retrospectively collected data from 183 SFTS and 178 scrub typhus patients and validated the prior scoring system to develop a more sensitive, specific, and objective scoring system. We first applied the prior scoring systems proposed by Kim et al. to differentiate SFTS from scrub typhus. After multivariable logistic regression, altered mental status, leukopenia, prolonged activated partial thromboplastin time (aPTT), and normal C-reactive protein (CRP) level (≤1.0 mg/dL) were significantly associated with SFTS.. We changed the normal CRP level ≤1.0 mg/dL to ≤3.0 mg/dL and replaced altered mental status with creatine kinase (CK). The modified scoring system showed 97% sensitivity and 96% specificity for SFTS (area under the curve (AUC): 0.983) and a higher accuracy than that of the original scoring system (P=0.0308). This study scoring system had 97% sensitivity and 98% specificity for SFTS (AUC: 0.992) and a higher accuracy than that of the original Kim’s scoring system (P=0. 0308). Our scoring system that incorporated leukopenia, prolonged aPTT, normal CRP level (≤3.0 mg/dL), and elevated CK level (&gt;1000 IU/L) easily differentiated SFTS from scrub typhus in an endemic area.
DOI: 10.6084/m9.figshare.19771444
title: kim kericho.xlsx

description: test
DOI: 10.6084/m9.figshare.19771444.v1
title: kim kericho.xlsx

description: test
DOI: 10.5517/ccdc.csd.cc29x07h
title: CCDC 2142076: Experimental Crystal Structure Determination

description: Related Article: Wassila Derafa, Djouhra Aggoun, Zakia Messasma, Selma Houchi, Sofiane Bouacida, Ali Ourari|2022|J.Mol.Struct.|1264|133190|doi:10.1016/j.molstruc.2022.133190
DOI: 10.6084/m9.figshare.19771441
title: Supplementary Material for: Renal Interstitial Inflammation Predicts Nephropathy Progression in IgA Nephropathy: A Two-Center Cohort Study

description: <b><i>Introduction:</i></b> Renal interstitial inflammation often presents in immunoglobulin A nephropathy (IgAN), but its predictive role in kidney disease progression remains controversial. <b><i>Methods:</i></b> This retrospective two-center cohort study included 1,420 adult IgAN patients between January 2003 and May 2018 followed for a median of approximately 7 years at two Chinese hospitals. The predictor was renal interstitial inflammation within the total cortical interstitium (none/mild [0–25%], moderate [26–50%], or severe [&gt;50%]). For the further propensity score matching analyses, the participants with moderate and severe level of interstitial inflammation were pooled to match those with none/mild level of interstitial inflammation. The outcomes included the rate of kidney function decline, and the composite kidney endpoint event defined as a &gt;40% reduction in the estimated glomerular filtration rate, end-stage kidney disease. Linear regression and Cox proportional hazards regression analyses were used to examine the association between interstitial inflammation and the outcomes. The predictive performance of the model also assessed using multivariate logistic regression analyses with the receiver operating characteristic curve analysis. Reclassification was assessed using the continuous net reclassification improvement and integrated discrimination improvement adapted for censoring for the assessment of the model with or without interstitial inflammation. <b><i>Results:</i></b> For the check of reproducibility, the kappa statistic was 0.71, and intraclass correlation coefficient was 0.77. After adjustment for relating covariates, a higher level of interstitial inflammation was associated with a faster rate of kidney function decline (eGFR slope [mL/min/1.73 m<sup>2</sup>] of 1.34 [95% CI: −2.56 to 5.23], 3.50 [95% CI: −0.40 to 7.40], and 7.52 [95% CI: 3.02 to 12.01]) in the patients with none/mild, moderate, and severe interstitial inflammation, respectively, in the multivariable linear regression models and with an increased risk of kidney disease progression (HR for moderate vs. none/mild, 1.85; 95% CI: 1.10–3.13; HR for severe vs. none/mild, 2.95; 95% CI: 1.52–5.73) in the multivariable Cox proportional hazards models. Analyses in the propensity score-matched cohort, subgroups, and the sensitive analyses yielded consistent results. The receiver operating curves indicated a higher area under the curve of 0.83 in the model with interstitial inflammation compared with 0.81 in that without interstitial inflammation. In addition, incorporating interstitial inflammation into the International IgAN Risk Prediction Tool improved the diagnostic power of the algorithm to predict risk of progression. <b><i>Conclusion:</i></b> Interstitial inflammation is a reproducible pathologic parameter that may be adopted as a predictor for kidney disease progression in patients with IgAN.
DOI: 10.6084/m9.figshare.19771441.v1
title: Supplementary Material for: Renal Interstitial Inflammation Predicts Nephropathy Progression in IgA Nephropathy: A Two-Center Cohort Study

description: <b><i>Introduction:</i></b> Renal interstitial inflammation often presents in immunoglobulin A nephropathy (IgAN), but its predictive role in kidney disease progression remains controversial. <b><i>Methods:</i></b> This retrospective two-center cohort study included 1,420 adult IgAN patients between January 2003 and May 2018 followed for a median of approximately 7 years at two Chinese hospitals. The predictor was renal interstitial inflammation within the total cortical interstitium (none/mild [0–25%], moderate [26–50%], or severe [&gt;50%]). For the further propensity score matching analyses, the participants with moderate and severe level of interstitial inflammation were pooled to match those with none/mild level of interstitial inflammation. The outcomes included the rate of kidney function decline, and the composite kidney endpoint event defined as a &gt;40% reduction in the estimated glomerular filtration rate, end-stage kidney disease. Linear regression and Cox proportional hazards regression analyses were used to examine the association between interstitial inflammation and the outcomes. The predictive performance of the model also assessed using multivariate logistic regression analyses with the receiver operating characteristic curve analysis. Reclassification was assessed using the continuous net reclassification improvement and integrated discrimination improvement adapted for censoring for the assessment of the model with or without interstitial inflammation. <b><i>Results:</i></b> For the check of reproducibility, the kappa statistic was 0.71, and intraclass correlation coefficient was 0.77. After adjustment for relating covariates, a higher level of interstitial inflammation was associated with a faster rate of kidney function decline (eGFR slope [mL/min/1.73 m<sup>2</sup>] of 1.34 [95% CI: −2.56 to 5.23], 3.50 [95% CI: −0.40 to 7.40], and 7.52 [95% CI: 3.02 to 12.01]) in the patients with none/mild, moderate, and severe interstitial inflammation, respectively, in the multivariable linear regression models and with an increased risk of kidney disease progression (HR for moderate vs. none/mild, 1.85; 95% CI: 1.10–3.13; HR for severe vs. none/mild, 2.95; 95% CI: 1.52–5.73) in the multivariable Cox proportional hazards models. Analyses in the propensity score-matched cohort, subgroups, and the sensitive analyses yielded consistent results. The receiver operating curves indicated a higher area under the curve of 0.83 in the model with interstitial inflammation compared with 0.81 in that without interstitial inflammation. In addition, incorporating interstitial inflammation into the International IgAN Risk Prediction Tool improved the diagnostic power of the algorithm to predict risk of progression. <b><i>Conclusion:</i></b> Interstitial inflammation is a reproducible pathologic parameter that may be adopted as a predictor for kidney disease progression in patients with IgAN.
DOI: 10.5281/zenodo.6552717
title: Plant competition models data

description: Dataset from the density and distance experiments.
DOI: 10.5281/zenodo.6552716
title: Plant competition models data

description: Dataset from the density and distance experiments.
DOI: 10.6084/m9.figshare.19771330
title: Brain_tumor_dataset (2).rar

description: The two-dimensional (2D) brain MRI dataset was acquired by Bahawal Victoria Hhospital-Radiology Department (QMC-BVH, 2020) Bahawalpur Pakistan. We collected a total hundred local brain cancer patient data, including fifty males aged 50 to 60 years and females (40 to 50 years).
DOI: 10.5281/zenodo.6552685
title: flatJACS 3.0

description: A CSV dataset representing JACS 3.0 subject areas, principal subjects, and detailed subject codes in a unified dataset.
description: {"references": ["Higher Education Statistics Agency (2012/2013). Joint Academic Coding System 3.0 (JACS 3.0). CC BY 4.0. https://www.hesa.ac.uk/support/documentation/jacs"]}
DOI: 10.34740/kaggle/dsv/3644082
title: AutoXGB
DOI: 10.34740/kaggle/dsv/3644088
title: Health Workforce Shortage Areas
DOI: 10.6084/m9.figshare.19656558
title: Supplementary Material for: A Genome-wide association study on abdominal adiposity-related traits in adult Korean men

description: Introduction: Although previous genome-wide association studies (GWASs) have identified genetic susceptibility loci for abdominal adiposity, GWASs on Asian samples remain scarce. Therefore, we performed a GWAS for abdominal adipose tissue depots in a Korean population. Methods: A total of 1,937 Korean men were included in the study. Areas of abdominal fat were quantified by computed tomography. We performed a GWAS analysis under an additive model, and a replication study was conducted on 480 additional Korean adult men. Results: In the discovery step, we identified a total of 10 single-nucleotide polymorphisms (SNPs) associated with adiposity indicators (p &lt; 1 × 10–5). The top SNP, rs1028014, for visceral adipose tissue (VAT) was located in the ZMAT4 gene and remained significant after adjustment for body mass index (BMI). Three additional SNPs were also associated with VAT-adj-BMI and located within the SLC26A10, FAM155A, and COL4A1-COL4A2 genes, respectively. In addition, we identified a SNP (rs4668224) of the MYO3B gene for visceral-to-subcutaneous fat ratio. For subcutaneous adipose tissue and total adipose tissue, two (rs6585735 and rs363527) and three SNPs (rs1487892, rs9357565, and rs1985358) were found, respectively. Overall, eight SNPs were used in the replication study; however, none of the SNPs reached our level of significance for replication (p &lt; 0.0063). Nevertheless, rs4773144 of COL4A1-COL4A2 for VAT-adj-BMI was the most interesting SNP identified in previous GWASs for coronary artery disease (based on the same risk allele "G"), along with functional effects. Conclusion: This study suggests for the first time that a SNP (rs4773144) of COL4A1-COL4A2 may contribute to the increase in VAT level, especially in adult Korean men.
DOI: 10.5281/zenodo.6552512
title: Rosalia: An experimental research site to study hydrological processes in a forest catchment - data repository

description: This repository is a supplement to the paper <strong>Fürst, J., et al. (2021). “Rosalia: an experimental research site to study hydrological processes in a forest catchment.” Earth Syst. Sci. Data 13(8): 4019-4034.</strong> Experimental watersheds have a long tradition as research sites in hydrology and have been used as far back as the late 19<sup>th</sup> and early 20<sup>th</sup> century. The University of Natural Resources and Life Sciences Vienna (BOKU) has been operating the experimental research forest site called “Rosalia” with an area of 950 ha since 1875 to support and facilitate research and education. Recently, BOKU researchers from various disciplines extended the “Rosalia” instrumentation towards a full ecological-hydrological experimental watershed. The overall objective is to implement a multi-scale, multi-disciplinary observation system that facilitates the study of water, energy and solute transport processes in the soil-plant-atmosphere continuum. This repository contains the datasets collected by a monitoring network of 4 discharge gauging stations, 7 rain-gauges, together with observations of air and water temperature, relative humidity and conductivity. In four profiles, soil water content and temperature are recorded in different depths. In 2019, additionally a program to collect isotopic data in precipitation and discharge was started. On one site, also Nitrate, TOC and turbidity are monitored. All data collected since 2015, including in total 56 high resolution time series data (10 min sampling interval), are provided to the scientific community.
description: Updates are planned annually, as soon as the raw data of the previous year are checked for plausibility.
DOI: 10.5281/zenodo.6552804
title: Fire regime parameters and potential biophysical fire regime drivers - NUTS2 Centro, Portugal

description: The dataset, presented as an SPSS data file, includes three components. All were calculated for the civil parishes comprised in the NUTS2 Centro territorial unit in Central Portugal, identified by name in the column <em>Parish_name</em>. These components are: 1) three fire regime descriptors (expressed in original units and as z-scores) 2) twelve potential biophysical fire regime drivers (expressed in original units and as z-scores). 3) the cluster associated to each parish in both 3-cluster and 4-cluster solutions, obtained by running cluster analyses using the three fire regime descriptors as input variables. All fire regime descriptors and potential fire regime drivers are described in: Bergonse, R., Oliveira, S., Zêzere, J. L., Moreira, F., Ribeiro, P. F., Leal, M., & Lima e Santos, J. M. (2022). Biophysical controls over fire regime properties in Central Portugal. Science of The Total Environment, 810, 152314. https://doi.org/10.1016/j.scitotenv.2021.152314. They are also identified in the ReadMe file included in the Dataset.
description: This work was financed by national funds through FCT—Portuguese Foundation for Science and Technology, I.P., under the framework of the project "People&Fire: Reducing Risk, Living with Risk" (PCIF/AGT/0136/ 2017), under the programme of 'Stimulus of Scientific Employment— Individual Support' (contract 2020.03873.CEECIND), and by the Research Unit UIDB/00295/2020 and UIDP/00295/2020.
DOI: 10.5281/zenodo.6552803
title: Fire regime parameters and potential biophysical fire regime drivers - NUTS2 Centro, Portugal

description: The dataset, presented as an SPSS data file, includes three components. All were calculated for the civil parishes comprised in the NUTS2 Centro territorial unit in Central Portugal, identified by name in the column <em>Parish_name</em>. These components are: 1) three fire regime descriptors (expressed in original units and as z-scores) 2) twelve potential biophysical fire regime drivers (expressed in original units and as z-scores). 3) the cluster associated to each parish in both 3-cluster and 4-cluster solutions, obtained by running cluster analyses using the three fire regime descriptors as input variables. All fire regime descriptors and potential fire regime drivers are described in: Bergonse, R., Oliveira, S., Zêzere, J. L., Moreira, F., Ribeiro, P. F., Leal, M., & Lima e Santos, J. M. (2022). Biophysical controls over fire regime properties in Central Portugal. Science of The Total Environment, 810, 152314. https://doi.org/10.1016/j.scitotenv.2021.152314. They are also identified in the ReadMe file included in the Dataset.
description: This work was financed by national funds through FCT—Portuguese Foundation for Science and Technology, I.P., under the framework of the project "People&Fire: Reducing Risk, Living with Risk" (PCIF/AGT/0136/ 2017), under the programme of 'Stimulus of Scientific Employment— Individual Support' (contract 2020.03873.CEECIND), and by the Research Unit UIDB/00295/2020 and UIDP/00295/2020.
DOI: 10.5281/zenodo.6552813
title: Trialstreamer data

description: Trialstreamer annotated collection of RCTs. This respository contains baseline files (large), and subsequent updates (daily for PubMed, weekly for ICTRP).
DOI: 10.6084/m9.figshare.19771600
title: Geochip Data for Plant invasion.xls

description: Geochip data in native and invaded soils in the Yellow River Estuary
DOI: 10.6084/m9.figshare.19771600.v1
title: Geochip Data for Plant invasion.xls

description: Geochip data in native and invaded soils in the Yellow River Estuary
DOI: 10.22008/fk2/vs6x7m/fjudxq
title: G500_Sheet1_Sydgrønland_DescriptiveText.pdf
DOI: 10.22008/fk2/vs6x7m/fntofm
title: G500_Sheet3_Søndre_Strømfjord_Nugssuaq_1st_400dpi.pdf
DOI: 10.22008/fk2/vs6x7m/satdvz
title: G500_Sheet1_Sydgrønland_1st_400dpi.tif
DOI: 10.22008/fk2/vs6x7m/4zcucv
title: G500_Sheet1_Sydgrønland_2nd_400dpi.pdf
DOI: 10.22008/fk2/vs6x7m
title: Geological map of Greenland, 1:500 000, Sheet 1, Sydgrønland

description: Geologisk kort over Grønland / Geological map of Greenland - 1:500 000, southern Greenland,
DOI: 10.6084/m9.figshare.19361105
title: Supplementary Material for: Relationship between birth weight, early growth rate and body composition in 5 to 7-year-old children

description: Background: Programming of body composition during intrauterine growth may contribute to the higher risk for cardio-metabolic disease in individuals born small or large for gestational age (SGA, LGA). Compensations of intrauterine growth by catch-up or catch-down postnatal growth may lead to adverse consequences like a thin-fat phenotype. Methods: The impact of (i) birth weight as well as (ii) the interaction between birth weight and catch-up or catch-down growth during the first two years of life on fat free mass index (FFMI) and fat mass index (FMI) in 3204 5-7-year-old children was investigated using Hattori`s body composition chart. Body composition results were compared to appropriate for gestational age birth weight (AGA) with the same BMI. Results: 299 children at age 5-7 years were categorized as SGA, 2583 as AGA and 322 as LGA. When compared to AGA-children, BMI at 5-7-years of age was higher in LGA-children (15.5 kg/m² vs. 16.2 kg/m²; p&lt;0.001) but not different in SGA-children. Compared to AGA with the same BMI, LGA was associated with higher FMI and a lower FFMI in 5-7-year-old girls. This phenotype was also seen for both sexes with catch-down growth during the first 2 years of life whereas catch-up growth prevented the higher FMI and lower FFMI per BMI. By contrast, SGA was associated with a higher FFMI and lower FMI in 5-7-year-old boys compared to AGA boys with the same BMI. This phenotype was also seen with catch-down growth in both genders whereas catch-up growth in girls led to more gain in FMI per BMI. Conclusion: LGA with a compensatory catch-down postnatal growth maybe a risk factor for the development of disproportionate gain in fat over lean mass whereas SGA with a catch-down postnatal growth seems to favor the subsequent accretion of lean over fat mass. A higher propensity of lean mass accretion during postnatal growth in boys compared to girls explains sex-differences in these phenotypes.