cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/p5jv2br9dm.2
title: acute kidney injury in MIMIC

description: we only included the data from the first ICU admission of each adult patients. And we excluded patients if who 1) stayed in ICU less than 24 hours, 2) missed key data (serum creatinine, urine output, neutrophil, lymphocyte or platelet) and 3) without AKI. The identification of AKI was based on the Kidney Disease: Improving Global Outcomes (KDIGO) guideline: urine output less than 0.5 ml/kg/hour for 6 hours, or serum creatinine (SCr) increases ≥0.3 mg/dl within 48 hours or increases ≥1.5 times baseline value within 7 days. Demographic information included age, sex, ethnicity, care unit and body mass index (BMI). Laboratory measurements included leukocyte, neutrophil, lymphocyte, erythrocyte, hemoglobin (Hb), red cell distribution width (RDW), platelet, blood glucose, SCr, blood urea nitrogen (BUN), serum sodium, serum potassium, serum chloride, serum pH, bicarbonate, partial pressure of oxygen (PO2) and partial pressure of carbon dioxide (PCO2) over the first 24 hours into the ICU. And Sequential Organ Failure Assessment (SOFA) score, Simplified Acute Physiology Score II (SAPSII) and comorbidity were also extracted over the first 24 hours.
DOI: 10.17632/p5jv2br9dm.3
title: acute kidney injury in MIMIC

description: we only included the data from the first ICU admission of each adult patients. And we excluded patients if who 1) stayed in ICU less than 24 hours, 2) missed key data (serum creatinine, urine output, neutrophil, lymphocyte or platelet) and 3) without AKI. The identification of AKI was based on the Kidney Disease: Improving Global Outcomes (KDIGO) guideline: urine output less than 0.5 ml/kg/hour for 6 hours, or serum creatinine (SCr) increases ≥0.3 mg/dl within 48 hours or increases ≥1.5 times baseline value within 7 days. Demographic information included age, sex, ethnicity, care unit and body mass index (BMI). Laboratory measurements included leukocyte, neutrophil, lymphocyte, erythrocyte, hemoglobin (Hb), red cell distribution width (RDW), platelet, blood glucose, SCr, blood urea nitrogen (BUN), serum sodium, serum potassium, serum chloride, serum pH, bicarbonate, partial pressure of oxygen (PO2) and partial pressure of carbon dioxide (PCO2) over the first 24 hours into the ICU. And Sequential Organ Failure Assessment (SOFA) score, Simplified Acute Physiology Score II (SAPSII) and comorbidity were also extracted over the first 24 hours.
DOI: 10.17632/rkt2xhtbrs.1
title: Raw data of thermal expansion experiments

description: Raw data under five cooling rates were exhibited.
DOI: 10.17632/9zz9zzyc7r.1
title: IMDAA Evaluation

description: Datasets required for publishing a research article in JGR - Atmospheres
DOI: 10.17632/9zz9zzyc7r.2
title: IMDAA Evaluation

description: Datasets required for publishing a research article in JGR - Atmospheres
DOI: 10.17632/9zz9zzyc7r.3
title: IMDAA Evaluation

description: Datasets required for publishing a research article in JGR - Atmospheres
DOI: 10.17632/6g844rxvgm.1
title: Data for: Growth Over the Long Run: Historical National Accounts in International Comparison

description: GDP, population and employment data 1820-2018 for 56 countries.
DOI: 10.17632/vp9f3yrc9k.1
title: Low-Dimensional Assemblies of Magnetic Nanoparticles

description: This dataset contains additional data on nanoparticle and cluster images from TEM, and SEM-FIB Microscopies. Also, some original-format graphs are offered for better visualization or further data manipulation.
DOI: 10.17632/fj5ppk2h4c.1
title: Radial glia-Endothelial cells bidirectional interactions control vascular maturation and astrocyte differentiation: impact for blood brain barrier

description: Excell file containing spreadsheets of quantifications of cell population numbers, gene expression levels and protein immunostaining intensity, regarding munuscript accepted for publication in Current Neurovascular Research (2019). "Radial glia-Endothelial cells bidirectional interactions control vascular maturation and astrocyte differentiation: impact for blood brain barrier"
DOI: 10.17632/v6bcs7y4zn.1
title: Dataset for "Capital-Embodied Technological Progress and Obsolescence: How Do They Affect Investment Behavior?"

description: Output, consumption, investment, wages, total hours worked and the relative price of investment goods are expressed in logarithm and multiplied by 100. Output, consumption and investment and wages are deflated by the Personal Consumption Expenditures (PCE) index (see the main text). Output, consumption, investment and total hours worked are expressed per capita. Total hours worked are expressed as a deviation from the average. Output, consumption, investment, wages and Inflation are expressed in terms of the first difference of the logarithm. The interest rate is the Federal Funds Rate. The interest rate and inflation rate are expressed on a quarterly basis. All data are taken from the OECD Economic Outlook database, a comprehensive and consistent cross-country database which integrates data from the national statistics authorities including the U.S. Bureau of Economic Analysis.
DOI: 10.17632/4kszknf6vj.1
title: Chaos Detection with Persistent Homology

description: This data set contains MATLAB scripts which generate a Persistence Score (PS) for a time series. The time series are generated from dynamical systems (specifically the Lorenz model, Rossler model, and Logistics map) across an array of bifurcation parameters. The PS scores are generated from a persistence diagram which is taken of a bi-variate kernel density estimate of a planar projection of the time series data. This library contains MATLAB data structures which store the results several studies of the PS scores. Specifically, results are included which span a bifurcation of the Rossler, Logistics, and Lorenz models. The same results are given in separate data structures for time-series with added White Gaussian noise. The PS scores are computed along with 0/1 scores, and these scoring systems are compared. A MALTAB file (Noise_Study_Results.m) unpacks and plots the results of this study. A Gaussian smoothing function is used in this study to condition gray scale images in preparation for persistent homology. The effect of th kernel width sigma on the PS scores is studied, and MATLAB data structures are included which contain the results of this study for clean data along with data contaminated with noise at an Signal to Noise Ratio of 30 dB over a span of sigma = 0.1 to sigma 4.0. The results fo thsi study are unpacked and plotted with the MATLAB file (Kernel_Study_Results.m).
DOI: 10.17632/4kszknf6vj.2
title: Chaos Detection with Persistent Homology

description: This data set contains MATLAB scripts which generate a Persistence Score (PS) for a time series. The time series are generated from dynamical systems (specifically the Lorenz model, Rossler model, and Logistics map) across an array of bifurcation parameters. The PS scores are generated from a persistence diagram which is taken of a bi-variate kernel density estimate of a planar projection of the time series data. This library contains MATLAB data structures which store the results several studies of the PS scores. Specifically, results are included which span a bifurcation of the Rossler, Logistics, and Lorenz models. The same results are given in separate data structures for time-series with added White Gaussian noise. The PS scores are computed along with 0/1 scores, and these scoring systems are compared. A MALTAB file (Noise_Study_Results.m) unpacks and plots the results of this study. A Gaussian smoothing function is used in this study to condition gray scale images in preparation for persistent homology. The effect of th kernel width sigma on the PS scores is studied, and MATLAB data structures are included which contain the results of this study for clean data along with data contaminated with noise at an Signal to Noise Ratio of 30 dB over a span of sigma = 0.1 to sigma 4.0. The results fo thsi study are unpacked and plotted with the MATLAB file (Kernel_Study_Results.m).
DOI: 10.17632/mf3z285x7s.1
title: Ultrasound simulator vs faculty led class

description: A new technology in medical education is ultrasound simulation, which has been shown to help students learn while reducing load on clinical instructors. The goal of this study is to compare the efficacy of teaching using ultrasound simulators versus more traditional instructor-led sessions with ultrasound machines. METHODS Ultrasound was used to teach cardiac anatomy and physiology to medical students. Volunteers in one group were instructed using an ultrasound simulator (SonoSim) with built-in lessons; the other group received a traditional faculty-led session with an ultrasound machine. Efficacy of each type of teaching was assessed by measuring improvement from a pre-session test to a post-session test, using a student’s T-test to compare averages between groups. Participants were given a survey to solicit opinions of the lessons. RESULTS Twenty-one medical students participated, with 12 in the traditional teaching group and 9 in the simulator group. Both groups increased their test scores from pre-session to post-session; the average increase was 5% in the traditional group and 10% in the simulator group (p=0.437). There was no statistically significant difference between groups in how effective or enjoyable the lesson felt. Participants from either group who tried both methods were likely to prefer the traditional ultrasound teaching. CONCLUSION Self-guided learning with simulators and traditional instructor-led lectures are both effective for teaching basic cardiac anatomy and physiology via ultrasound. However, most students prefer learning with instructors if given the opportunity. Self-guided ultrasound simulators may serve as an effective standalone learning method or an adjunct to instructor-led sessions.
DOI: 10.17632/kszcz34sxs.1
title: Supplementary dataset for "Crack-induced shear-wave orthorhombic anisotropy: Modeling and inversion of borehole shear-wave logging data"

description: In our current study “Crack-induced shear-wave orthorhombic anisotropy: Modeling and inversion of borehole shear-wave logging data,” we analyzed the elastic properties of crack-induced orthorhombic rocks based on recent-advanced effective scattering method with higher accuracy. Moreover, an inversion method was developed to estimate the shear anisotropy parameters from the four-component shear-wave logging measurement in a vertical borehole through the orthorhombic rock. We have demonstrated the validity and effectiveness of the method using synthetic and field acoustic data.
DOI: 10.17632/mxdmwszy6r.1
title: Manufacturing sector in China - ownership

description: Manufacturing sector in China - ownership
DOI: 10.17632/tcpfyd3245.1
title: The anthrax spores data

description: The file "soure image" consists of 240 spore images, in which the number of spores is a few or a dozen. The file "label image" is composed of 240 labeled images. The file "G_Otsu" is the segmeted results with our "G_Otsu". File "g_signed_log_gmm_levelset" is the results after contour evalution with GLGM driven Level set. The purpose of our study is to compute the proportion of spores area to the total area and calculate the number of spores, which is of great significance to the precision agriculture.
DOI: 10.17632/tcpfyd3245.2
title: The anthrax spores data

description: The file "soure image" consists of 240 spore images, in which the number of spores is a few or a dozen. The file "label image" is composed of 240 labeled images. The file "G_Otsu" is the segmeted results with our "G_Otsu". File "g_signed_log_gmm_levelset" is the results after contour evalution with GLGM driven Level set. The purpose of our study is to compute the proportion of spores area to the total area and calculate the number of spores, which is of great significance to the precision agriculture.
DOI: 10.17632/5khzv6xhy3.1
title: EMG_SoccerPlayers_BiomecanicaUPM
DOI: 10.17632/kpgxs38fmn.1
title: Maximum stress and temperature associated with the second and third layers during direct deposition of nickel alloy 625 powder mixed with 2wt.% nano-CeO2 on AISI 4140

description: Three-layer additive manufacturing
DOI: 10.17632/3tt6m5nhhj.1
title: A transmissibility-based procedure to estimate the modal properties of an on-board Tuned Mass Damper

description: These files contain the dataset and code (Matlab) used to develop the work described in the article named "A transmissibility-based procedure to estimate the modal properties of an on-board Tuned Mass Damper". Some tests have been carried out to support the theoretical background presented in that article, and they are shown here. The aim of the article is to present a procedure based on transmissibility (acceleration) recordings to estimate the properties of a TMD once it is installed on the structure. The recordings of the tests carried out to validate the methodology are included in this dataset together with the code files containing the whole methodology described in the article, finishing by providing an estimation of the TMD properties.
DOI: 10.17632/jpspyvky63.1
title: Data LK2019 5 Agustus 2019

description: Space and Poverty in Aceh Singkil and Nias Barat
DOI: 10.17632/zpzy47939m.1
title: DataCor Dataset V1

description: Database for paper "Performance of Machine Learning Algorithms to Identify Corrosion Inhibitors for Aluminum Alloys Used in Aeronautical Applications"
DOI: 10.17632/zpzy47939m.2
title: DataCor Dataset V1

description: Database for paper "Performance of Machine Learning Algorithms to Identify Corrosion Inhibitors for Aluminum Alloys Used in Aeronautical Applications"
DOI: 10.17632/4vxk36jxdz.1
title: Data for: Language context modulates brain network for language control in bilingual language production

description: Brain Imaging data for bilinguals naming pictures in L1-single, L2-single, and dual-language contexts.
DOI: 10.17632/9bphhy463c.1
title: Calibrated Finite Element Model for Four Story Building under Seismic and Wind Events

description: This data set is for a calibrated FEM for the benchmark building developed by Lingos D, and Krawinkler H (Prediction and validation of sideway collapse of two scale models of a 4‐story steel moment frame. The building is a four-story steel moment frame, with reduced beam sections. The hysteresis behavior for the beam column connection has been verified with Lingos, Krawinkler data and showed a good agreement. The natural frequency for the first three modes has been identified using an eigen value analysis, where the frequencies match the values obtained by Lingos, Krawinkler. The modeling is performed using LS-Dyna software. The modeling has gone through several steps: a) Implicit Modeling for the gravity load, followed by b) Explicit Dynamics Modeling for the seismic event followed by c) Explicit Dynamics Modeling for the wind events. LS-Dyna provides a “Restart” feature, where the user can start a new model from the end time of another model to continue the simulation. This feature has been adopted in this work. In this data set, the calibrated model has been used to investigate the wind performance of seismically damaged structures. The model is subjected to three different seismic intensities, each seismic event is followed by a wind event. The objective is to investigate how does moderate seismic damages impact the total building drift under wind loads. Northridge earthquake is used in this study, and three seismic intensities are defined using this record by amplifying the acceleration with certain multiplier. The three records are a) Design Level Earthquake (DLE) where the record is multiplied by 1.0, b) Maximum Considered Earthquake (MCE) where the record is multiplied by 1.5, and c) Collapse Level Earthquake (CLE) where the record is multiplied by 1.9. After each of these three seismic events, the building is subjected to 4 wind events. The forces of the wind events are calculated using the ASCE 7-10 code. The wind velocities are for a) 10 MRI wind (wind with Mean Recurrence Interval of 10 years), b) 25 MRI wind, c) 50MRI Wind, and d) 100 MRI wind. The total building drift has been used as a metric to investigate the impact of seismic damages on the building performance. More information can be found in the following Thesis (Heba Elsisi. DEVELOPMENT OF WIND PERFORMANCE CURVES FOR SIESMICALLY DAMAGED STRUCTURES. University of Alabama at Birmingham, 2019).
DOI: 10.17632/f366zsg6hh.3
title: BSGMiv1a Research Data and Code

description: Contains the output datasets and code from the corresponding validation paper on the Built Settlement Growth Model - interpolative
DOI: 10.17632/bphvwn8rn9.1
title: 2018 JACC CI (Static CTP accuracy)

description: OBJECTIVES The goal of this study was to evaluate the diagnostic accuracy of stress computed tomography myocardial perfusion (CTP) for the detection of functionally significant coronary artery disease (CAD) by using invasive coronary angiography (ICA) plus invasive fractional flow reserve (FFR) as the reference standard in consecutive intermediate- to high-risk symptomatic patients. BACKGROUND Stress CTP recently emerged as a potential strategy to combine the anatomic and functional evaluation of CAD in a single scan. METHODS A total of 100 consecutive symptomatic patients scheduled for ICA were prospectively enrolled. All patients underwent rest coronary computed tomography angiography (CTA) followed by stress static CTP with a whole-heart coverage CT scanner (Revolution CT, GE Healthcare, Milwaukee, Wisconsin). Diagnostic accuracy and overall effective dose were assessed and compared versus those of ICA and invasive FFR. RESULTS The prevalence of obstructive CAD and functionally significant CAD were 69% and 44%, respectively. Coronary CTA alone demonstrated a per-vessel and per-patient sensitivity, specificity, negative predictive value, positive predictive value, and accuracy of 98%, 76%, 99%, 63%, and 83% and of 98%, 54%, 96%, 68%, and 76%, respectively. Combining coronary CTA with stress CTP, per-vessel and per-patient sensitivity, specificity, negative predictive value, positive predictive value, and accuracy were 91%, 94%, 96%, 86%, and 93% and 98%, 83%, 98%, 86%, and 91%, with a significant improvement in specificity, positive predictive value, and accuracy in both models. The mean effective dose for coronary CTA and stress CTP were 2.8 1.4 mSv and 2.5 1.1 mSv. CONCLUSIONS The inclusion of stress CTP for the evaluation of patients with an intermediate to high risk for CAD is feasible and improved the diagnostic performance of coronary CTA for detecting functionally significant CAD.
DOI: 10.17632/n53xt69gnf.2
title: Data Set For Sentiment Analysis On Bengali News Comments

description: This is a data set of Sentiment Analysis On Bangla News Comments where every data was annotated by three different individuals to get three different perspectives and based on the majorities decisions the final tag was chosen. This data set contains 13802 data in total.
DOI: 10.17632/pjhbx9gmr5.1
title: 2018 Academic Radiol (Impact of ASIR-V on CCT image quality)

description: Rationale and objectives: A new postprocessing algorithm named adaptive statistical iterative reconstruction (ASIR)-V has been recently introduced. The aim of this article was to analyze the impact of ASIR-V algorithm on signal, noise, and image quality of coronary computed tomography angiography. Materials and Methods: Fifty consecutive patients underwent clinically indicated coronary computed tomography angiography (Revolution CT; GE Healthcare, Milwaukee, WI). Images were reconstructed using filtered back projection and ASIR-V 0%, and a combination of filtered back projection and ASIR-V 20%–80% and ASIR-V 100%. Image noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were calculated for left main coronary artery (LM), left anterior descending artery (LAD), left circumflex artery (LCX), and right coronary artery (RCA) and were compared between the different postprocessing algorithms used. Similarly a four-point Likert image quality score of coronary segments was graded for each dataset and compared. A cutoff value of P &lt; .05 was considered statistically significant. Results: Compared to ASIR-V 0%, ASIR-V 100% demonstrated a significant reduction of image noise in all coronaries (P &lt; .01). Compared to ASIR-V 0%, SNR was significantly higher with ASIR-V 60% in LM (P &lt; .01), LAD (P &lt; .05), LCX (P &lt; .05), and RCA (P &lt; .01). Compared to ASIR-V 0%, CNR for ASIR-V ≥60% was significantly improved in LM (P &lt; .01), LAD (P &lt; .05), and RCA (P &lt; .01), whereas LCX demonstrated a significant improvement with ASIR-V ≥80%. ASIR-V 60% had significantly better Likert image quality scores compared to ASIR-V 0% in segment-, vessel-, and patient-based analyses (P &lt; .01). Conclusions: Reconstruction with ASIR-V 60% provides the optimal balance between image noise, SNR, CNR, and image quality.
DOI: 10.17632/vg983472v3.1
title: SNP dataset and Capture-Mark-Recapture dataset used in the analysis for the paper Rick et al.: Population genomics of Bettongia lesueur: admixing increases genetic diversity with no evidence of outbreeding depression

description: Translocations can be used as an effective conservation tool to combat the loss of genetic diversity often experienced by small and isolated populations. Mixing animals from multiple genetically diverged sources in one method to optimize genetic diversity in translocated populations. However, admixture as a conservation tool is rarely utilized due to the risks of outbreeding depression. Using single nucleotide polymorphisms (SNPs) and life history data (capture-mark-recapture), this data was used to investigate the genetic and fitness consequences of admixing two genetically distinct subspeices of burrowing bettong (Bettongia lesueur) as described in the paper by Rick et al.: Population genomics of Bettongia lesueur: admixing increases genetic diversity with no evidence of outbreeding depression.
DOI: 10.17632/3jnng96z5z.1
title: 2018 JACC CI (PERFECTION study)

description: OBJECTIVES This study sought to compare the diagnostic accuracy of coronary computed tomography angiography (cCTA) with that of cCTAþfractional flow reserve derived from cCTA datasets (FFRCT) and that of cCTAþstatic stresscomputed tomography perfusion (stress-CTP) in detecting functionally significant coronary artery lesions using invasive coronary angiography (ICA) plus invasive FFR as the reference standard. BACKGROUND FFRCT and static stress-CTP are new techniques that combine anatomy and functional evaluation to improve assessment of coronary artery disease (CAD) using cCTA. METHODS A total of 147 consecutive symptomatic patients scheduled for clinically indicated ICAþinvasive FFR were evaluated with cCTA, FFRCT, and stress-CTP. RESULTS Vessel-based and patient-based sensitivity, specificity, and negative predictive values, and positive predictive values, and accuracy rates of cCTA were 99%, 76%, 100%, 61%, 82%, and 95%, 54%, 94%, 63%, 73%, respectively. cCTAþFFRCT showed vessel-based and patient-based sensitivity, specificity, and negative predictive values, and positive predictive values and accuracy rates of 88%, 94%, 95%,84%, 92%, and 90%, 85%, 92%, 83%, 87%, respectively. Finally, cCTAþstress-CTP showed vessel-based and patient-based sensitivity, specificity, and negative predictive values, and positive predictive values and accuracy rates of 92%, 95%, 97%, 87%,94%and 98%, 87%, 99%, 86%, 92%, respectively. Both FFRCT and stress-CTP significantly improved specificity and positive predictive values compared to those of cCTA alone. The area under the curve to detect flow-limiting stenoses of cCTA, cCTAþFFRCT, and cCTAþCTP were 0.89, 0.93, 0.92, and 0.90, 0.94, and 0.93 in a vessel-based and patient-based model, respectively, with significant additional values for both cCTAþFFRCT and cCTAþCTP versus cCTA alone (p &lt; 0.001) but no differences between cCTAþFFRCT versus cCTAþCTP. CONCLUSIONS FFRCT and stress-CTP in addition to cCTA are valid and comparable tools to evaluate the functional relevance of CAD.