cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23903028
title: CFThinking-IC Indices-Prevention Pride Dataset

description: This dataset is associated with the study, "Individualism-Collectivism (I-C) Indices do not mediate the negative association between Non-referent Downward Counterfactual Thinking and Prevention Pride in Australian university students". It consists of Likert-scale responses of Australian university students (i.e., Queensland and New South Wales) to various assessments, such as the Counterfactual Thinking for Negative Events Scale (Rye et al., 2008), the Regulatory Focus Questionnaire (Higgins et al., 2001), and the Individualism-Collectivism Interpersonal Assessment Inventory (Matsumoto et al., 1997).
DOI: 10.6084/m9.figshare.23903499
title: Supplementary material.XLSX

description: A total of 52 HBsAg-negative and HBV DNA-positive patients(HBsAg-/HBV DNA+ patients), 52 persistently HBsAg-positive patients(HBsAg+/HBV DNA+ patients)and 16 healthy people were evaluated. T-lymphocyte subsets of these patients were detected by flow cytometry, serum cytokines and chemokines were detected by the Luminextechnique
DOI: 10.6084/m9.figshare.23903499.v1
title: Supplementary material.XLSX

description: A total of 52 HBsAg-negative and HBV DNA-positive patients(HBsAg-/HBV DNA+ patients), 52 persistently HBsAg-positive patients(HBsAg+/HBV DNA+ patients)and 16 healthy people were evaluated. T-lymphocyte subsets of these patients were detected by flow cytometry, serum cytokines and chemokines were detected by the Luminextechnique
DOI: 10.6084/m9.figshare.23903649
title: SRSCAP

description: 35 SRSCAP benchmark problem instances is named in terms of the number of surgical cases and ORs. For example, “20_6_50” indicates that this instance involves 20 surgical cases, 6 ORs, and 50 scenarios are equally likely to occur.
DOI: 10.6084/m9.figshare.23866962.v9
title: Untitled Item

description: Regridding Global CMIP6 GCMs dataset(0.5 degree)Historical dataset: 7 CMIP6 GCMs (1850-2014, ACCESS-CM2 to GFDL-ESM4)Future dataset: 7 CMIP6 GCMs and 4 SSP scenarios (2015-2100)Composition of dataset: Average temperature, Maximum temperature, Minimum temperature, Windspeed, Relative humidity, Solar radiationIf you are using our codes and dataset, please use the following references:Song, Y.H., Chung, E.S., Shahid, S., Kim, Y.J., Kim, D.K. 2023. Development of global monthly dataset of CMIP6 climate variables for estimating evapotranspiration. Scientific Data.<br>
DOI: 10.6084/m9.figshare.22104743.v5
title: Raw data

description: Raw data for the submitted manuscript of ECY23-0138
DOI: 10.26179/hs33-7888
title: Aerial photograph mosaic of Macquarie Island isthmus, 31 January 2015
DOI: 10.6084/m9.figshare.22104743.v6
title: Raw data

description: Raw data for the submitted manuscript of ECY23-0138
DOI: 10.34740/kaggle/dsv/5611911
title: Paraguay Supermarket Products Dataset
DOI: 10.5281/zenodo.7955278
title: Champion-Level Drone Racing using Deep Reinforcement Learning: Supplementary Data

description: Supplementary data for the publication "Champion-Level Drone Racing using Deep Reinforcement Learning". racing_data.zip: The data includes the recorded position of human and autonomous drones during head-to-head races and time-trial runs. The included code provides plotting and statistical analysis of the data. pseudocode.zip: Pseudocode that illustrates gate detection, VIO drift estimation, policy training, and residual model identification.
DOI: 10.5281/zenodo.7955277
title: Champion-Level Drone Racing using Deep Reinforcement Learning: Supplementary Data

description: Supplementary data for the publication "Champion-Level Drone Racing using Deep Reinforcement Learning". racing_data.zip: The data includes the recorded position of human and autonomous drones during head-to-head races and time-trial runs. The included code provides plotting and statistical analysis of the data. pseudocode.zip: Pseudocode that illustrates gate detection, VIO drift estimation, policy training, and residual model identification.
DOI: 10.34740/kaggle/dsv/6267454
title: Paraguay Supermarket Products Dataset
DOI: 10.26179/eze8-wh31
title: Orthomosaic and digital surface model of the main Casey station buildings, 12th February 2021.
DOI: 10.34808/8nvm-yh02
title: X-ray diffraction spectra of modification of TiO2 nanotubes by graphene - strontium and cobalt molybdate perovskite
DOI: 10.26179/rxzv-f624
title: Casey EPH Fuel Tank Supply Line Leak - Soil samples for TPH analysis
DOI: 10.5281/zenodo.8223330
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Anders Robert Zachau, http://www.wikidata.org/entity/Q121295621. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q121295621
DOI: 10.5281/zenodo.8223329
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Anders Robert Zachau, http://www.wikidata.org/entity/Q121295621. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q121295621
DOI: 10.21227/7wx2-3c69
title: Data_Stunting

description: ommon approaches to stunting prediction, including statistical analysis and machine learning, have poor performance due to shifts in the factors influencing stunting. Causes data cannot be integrated directly when using statistical analysis. At the same time, machine learning causes a decrease in predictive performance down over time. This study proposes a new approach to stunting prediction in infants and toddlers aged 0-5 years using continuous learning methods. The method used uses the PackNet algorithm. Each sample in the India Demographic and Health Survey 2019-2021 (IDHS) data is grouped into potentially normal and potentially stunting. Data with a significant variable on stunting is selected according to the literature and logistic regression test with a significance value of 5% using SPSS as data input. Based on experiments conducted using data from IDHS models trained by the PackNet algorithm showed better performance than those trained with Artificial Neural Networks.The proposed method performs better when learning from IDHS 2019-2021 data and can adapt well to new tasks.
DOI: 10.25952/6yj5-m746
title: Emergency and Disaster Management

description: The dataset was obtained from all eastern province hospitals in Saudi Arabia using a survey to measure the hospitals disaster preparedness in the area. 11 Pdf documents were uploaded containing 63 surveys.
description: The dataset was obtained from all eastern province hospitals in Saudi Arabia using a survey to measure the hospitals disaster preparedness in the area. 11 Pdf documents were uploaded containing 63 surveys.
DOI: 10.6084/m9.figshare.23903810
title: A chemoinformatic-biophysics based approach to identify novel anti-virulent compounds against <i>Pseudomonas aeruginosa</i> disulfide-bond protein A1

description: The conventional course of drug discovery is a lengthy, expensive and complex process and often experiences a high failure rate. This <i>in-silico</i> based study screened novel drug molecules against <i>Pseudomonas aeruginosa</i> disulfide-bond protein A1 (PaDsbA1; PDB ID of 4ZL7) using a variety of chemoinformatic and biophysics approaches. The structure-based virtual screening identified three antipseudomonal compounds (BDC_30129064, BDC_20699588 and BDC_25329008) that targeted PaDsbA1 enzyme with a binding energy score of −7.8 kcal/mol, −7.7 kcal/mol and −7.7 kcal/mol, respectively. The compounds revealed deep binding at the enzyme active pocket with close distance hydrogen bond interactions with Thr46, Pro55, Val58, Arg62, His88, and Asp180. The co-crystalized hexaethylene glycol revealed a binding energy of −6.02 kcal/mol. The docked compounds were further subjected to molecular dynamics simulation analysis in order to check the dynamic movements of docked complexes. The complexes reported no drastic changes during simulation time. In the simulation, stable compounds binding and docked conformation were accomplished. The docking and simulation results were validated using free binding energies calculation through molecular mechanics with generalized born surface area solvation and molecular mechanics Poisson Boltzmann surface area (MMGBSA/MMPBSA) approaches. The net binding energy estimated by MMGBSA for BDC_30129064, BDC_20699588 and BDC_25329008 was −75.07 kcal/mol, −77.87 kcal/mol and −59.1 kcal/mol, respectively while that of MMPBSA for the compounds was −72.47 kcal/mol, −78.99 kcal/mol and −60.991 kcal/mol, respectively. The physiochemical properties of the selected compounds indicated them to be physiochemically stable with good absorption, distribution, metabolism and elimination properties. From the above observations and predictions, the compounds can be recommended for further experimental validation in order to decipher their anti-virulence capacity in blocking disulfide bond formation in <i>P. aeruginosa</i>. Communicated by Ramaswamy H. Sarma
DOI: 10.6084/m9.figshare.23903810.v1
title: A chemoinformatic-biophysics based approach to identify novel anti-virulent compounds against <i>Pseudomonas aeruginosa</i> disulfide-bond protein A1

description: The conventional course of drug discovery is a lengthy, expensive and complex process and often experiences a high failure rate. This <i>in-silico</i> based study screened novel drug molecules against <i>Pseudomonas aeruginosa</i> disulfide-bond protein A1 (PaDsbA1; PDB ID of 4ZL7) using a variety of chemoinformatic and biophysics approaches. The structure-based virtual screening identified three antipseudomonal compounds (BDC_30129064, BDC_20699588 and BDC_25329008) that targeted PaDsbA1 enzyme with a binding energy score of −7.8 kcal/mol, −7.7 kcal/mol and −7.7 kcal/mol, respectively. The compounds revealed deep binding at the enzyme active pocket with close distance hydrogen bond interactions with Thr46, Pro55, Val58, Arg62, His88, and Asp180. The co-crystalized hexaethylene glycol revealed a binding energy of −6.02 kcal/mol. The docked compounds were further subjected to molecular dynamics simulation analysis in order to check the dynamic movements of docked complexes. The complexes reported no drastic changes during simulation time. In the simulation, stable compounds binding and docked conformation were accomplished. The docking and simulation results were validated using free binding energies calculation through molecular mechanics with generalized born surface area solvation and molecular mechanics Poisson Boltzmann surface area (MMGBSA/MMPBSA) approaches. The net binding energy estimated by MMGBSA for BDC_30129064, BDC_20699588 and BDC_25329008 was −75.07 kcal/mol, −77.87 kcal/mol and −59.1 kcal/mol, respectively while that of MMPBSA for the compounds was −72.47 kcal/mol, −78.99 kcal/mol and −60.991 kcal/mol, respectively. The physiochemical properties of the selected compounds indicated them to be physiochemically stable with good absorption, distribution, metabolism and elimination properties. From the above observations and predictions, the compounds can be recommended for further experimental validation in order to decipher their anti-virulence capacity in blocking disulfide bond formation in <i>P. aeruginosa</i>. Communicated by Ramaswamy H. Sarma
DOI: 10.6084/m9.figshare.23903790
title: Research_Pre and Post, T-test Results.xlsx

description: The file contains the summary and data analysis of students' pre- and post-response to the assessment using a systems thinking analysis approach in science, technology, and society
DOI: 10.6084/m9.figshare.23903790.v1
title: Research_Pre and Post, T-test Results.xlsx

description: The file contains the summary and data analysis of students' pre- and post-response to the assessment using a systems thinking analysis approach in science, technology, and society
DOI: 10.6084/m9.figshare.21707015
title: Rawdata

description: fasta file of the assembled genomes and their relative abundnace.
DOI: 10.6084/m9.figshare.21707015.v2
title: Rawdata

description: fasta file of the assembled genomes and their relative abundnace.
DOI: 10.6084/m9.figshare.23866962.v10
title: Untitled Item

description: Regridding Global CMIP6 GCMs dataset(0.5 degree)Historical dataset: 7 CMIP6 GCMs (1850-2014, ACCESS-CM2 to GFDL-ESM4)Future dataset: 7 CMIP6 GCMs and 4 SSP scenarios (2015-2100)Composition of dataset: Average temperature, Maximum temperature, Minimum temperature, Windspeed, Relative humidity, Solar radiationIf you are using our codes and dataset, please use the following references:Song, Y.H., Chung, E.S., Shahid, S., Kim, Y.J., Kim, D.K. 2023. Development of global monthly dataset of CMIP6 climate variables for estimating evapotranspiration. Scientific Data.<br>
DOI: 10.6084/m9.figshare.23903823
title: Thermal stratification of Lake Namco

description: Climate changes, in particular warming air temperature and decreasing near-surface wind speed, have been shown to influence lake thermal stratification. Few studies have focused on the effects of climate changes on the thermal stratification of high-altitude lakes characterized by low air temperature and high solar forcing. We used a model to understand the long-term changes of summer stratification in Lake Namco (Tibet), one of the world’s highest large lakes. The depth and strength of the thermocline have changed significantly at rates of 2.2 m per decade and 0.00011 s<sup>-1</sup>, respectively. Warmer air temperatures resulted in earlier onset of stratification which advanced to spring. Atmospheric stilling in spring is the dominant factor associated with the shoaling and steepening trend.
DOI: 10.6084/m9.figshare.23820753.v1
title: FMGC dereplicated MAGs

description: Facial microbiome genome compendium. MAGs dereplicated with ANI 0.95 (species level), and 0.99 (strain level).
DOI: 10.6084/m9.figshare.23903832
title: iHSMGC MAGs

description: 304 species level MAGs constructed by this study using data from the public iHSMGC data downloaded from https://db.cngb.org/search/project/CNP0000635/ (iHSMGC.0.95.zip).
DOI: 10.6084/m9.figshare.23903847
title: Consent Form for Ethics

description: This contain a sample consent form used in the study
DOI: 10.6084/m9.figshare.23903847.v1
title: Consent Form for Ethics

description: This contain a sample consent form used in the study
DOI: 10.6084/m9.figshare.23903886
title: Supplementary Material for: Clinical and Pathophysiologic Insights of Free triiodothyronine/Free thyroxine Ratio in Patients with Heart Failure with Preserved Ejection Fraction: Data from the NETDiamond Cohort

description: <b><i>Background:</i></b> Thyroid dysfunction is common in patients with heart failure (HF). Impaired conversion of free T4 (FT4) into free T3 (FT3) is thought to occur in these patients, decreasing the availability of FT3 and contributing to HF progression. In HF with preserved ejection fraction (HFpEF), it is not known whether changes in conversion of thyroid hormones (THs) are associated with clinical status and outcomes. <b><i>Objectives:</i></b> The objective of this study was to evaluate the association of FT3/FT4 ratio and TH with clinical, analytical, and echocardiographic parameters, as well as their prognostic impact in individuals with stable HFpEF. <b><i>Methods:</i></b> We evaluated 74 HFpEF participants of the NETDiamond cohort without known thyroid disease. We performed regression modeling to study the associations of TH and FT3/FT4 ratio with clinical, anthropometric, analytical, and echocardiographic parameters, and survival analysis to evaluate associations with the composite of diuretic intensification, urgent HF visit, HF hospitalization, or cardiovascular death over a median follow-up of 2.8 years. <b><i>Results:</i></b> The mean age was 73.7 years and 62% were men. The mean FT3/FT4 ratio was 2.63 (standard deviation: 0.43). Subjects with lower FT3/FT4 ratio were more likely to be obese and have atrial fibrillation. Lower FT3/FT4 ratio was associated with higher body fat (β = −5.60 kg per FT3/FT4 unit, <i>p</i> = 0.034), higher pulmonary arterial systolic pressure (PASP) (β = −10.26 mm Hg per FT3/FT4 unit, <i>p</i> = 0.002), and lower left ventricular ejection fraction (LVEF) (β = 3.60% per FT3/FT4 unit, <i>p</i> = 0.008). Lower FT3/FT4 ratio was associated with higher risk for the composite HF outcome (HR = 2.50, 95% CI: 1.04–5.88, per 1-unit decrease in FT3/FT4, <i>p</i> = 0.041). <b><i>Conclusions:</i></b> In patients with HFpEF, lower FT3/FT4 ratio was associated with higher body fat, higher PASP, and lower LVEF. Lower FT3/FT4 predicted a higher risk of diuretic intensification, urgent HF visits, HF hospitalization, or cardiovascular death. These findings suggest that decreased FT4 to FT3 conversion might be a mechanism associated with HFpEF progression.
DOI: 10.6084/m9.figshare.23903886.v1
title: Supplementary Material for: Clinical and Pathophysiologic Insights of Free triiodothyronine/Free thyroxine Ratio in Patients with Heart Failure with Preserved Ejection Fraction: Data from the NETDiamond Cohort

description: <b><i>Background:</i></b> Thyroid dysfunction is common in patients with heart failure (HF). Impaired conversion of free T4 (FT4) into free T3 (FT3) is thought to occur in these patients, decreasing the availability of FT3 and contributing to HF progression. In HF with preserved ejection fraction (HFpEF), it is not known whether changes in conversion of thyroid hormones (THs) are associated with clinical status and outcomes. <b><i>Objectives:</i></b> The objective of this study was to evaluate the association of FT3/FT4 ratio and TH with clinical, analytical, and echocardiographic parameters, as well as their prognostic impact in individuals with stable HFpEF. <b><i>Methods:</i></b> We evaluated 74 HFpEF participants of the NETDiamond cohort without known thyroid disease. We performed regression modeling to study the associations of TH and FT3/FT4 ratio with clinical, anthropometric, analytical, and echocardiographic parameters, and survival analysis to evaluate associations with the composite of diuretic intensification, urgent HF visit, HF hospitalization, or cardiovascular death over a median follow-up of 2.8 years. <b><i>Results:</i></b> The mean age was 73.7 years and 62% were men. The mean FT3/FT4 ratio was 2.63 (standard deviation: 0.43). Subjects with lower FT3/FT4 ratio were more likely to be obese and have atrial fibrillation. Lower FT3/FT4 ratio was associated with higher body fat (β = −5.60 kg per FT3/FT4 unit, <i>p</i> = 0.034), higher pulmonary arterial systolic pressure (PASP) (β = −10.26 mm Hg per FT3/FT4 unit, <i>p</i> = 0.002), and lower left ventricular ejection fraction (LVEF) (β = 3.60% per FT3/FT4 unit, <i>p</i> = 0.008). Lower FT3/FT4 ratio was associated with higher risk for the composite HF outcome (HR = 2.50, 95% CI: 1.04–5.88, per 1-unit decrease in FT3/FT4, <i>p</i> = 0.041). <b><i>Conclusions:</i></b> In patients with HFpEF, lower FT3/FT4 ratio was associated with higher body fat, higher PASP, and lower LVEF. Lower FT3/FT4 predicted a higher risk of diuretic intensification, urgent HF visits, HF hospitalization, or cardiovascular death. These findings suggest that decreased FT4 to FT3 conversion might be a mechanism associated with HFpEF progression.
DOI: 10.5281/zenodo.8163826
title: Study Dataset: Shedding Light on CVSS Scoring Inconsistencies: A User- Centric Study on Evaluating Widespread Security Vulnerabilities

description: This record contains the <strong>study datasets, descriptive results and questionnaires</strong> from the paper "Shedding Light on CVSS Scoring Inconsistencies: A User-Centric Study on Evaluating Widespread Security Vulnerabilities" by Julia Wunder, Andreas Kurtz, Christian Eichenmüller, Freya Gassmann and Zinaida Benenson to appear in Proceedings of the 45th IEEE Symposium on Security and Privacy (2024). The pseudonymous <strong>datasets</strong> contain data from the online surveys (main study with 196 participants and follow-up study with 59 participants). The first row gives the question codes and questions, the following rows gives the answers from the participants (see also README.md). We also provide <strong>descriptive results</strong> from the online surveys as PDF and the questionnaires. Please refer to the README.md file and our paper for further details about the data set and study.
description: This work was partially funded by the German Federal Ministry of Education and Research under grant 16KIS1271K.
DOI: 10.5281/zenodo.8163825
title: Study Dataset: Shedding Light on CVSS Scoring Inconsistencies: A User- Centric Study on Evaluating Widespread Security Vulnerabilities

description: This record contains the <strong>study datasets, descriptive results and questionnaires</strong> from the paper "Shedding Light on CVSS Scoring Inconsistencies: A User-Centric Study on Evaluating Widespread Security Vulnerabilities" by Julia Wunder, Andreas Kurtz, Christian Eichenmüller, Freya Gassmann and Zinaida Benenson to appear in Proceedings of the 45th IEEE Symposium on Security and Privacy (2024). The pseudonymous <strong>datasets</strong> contain data from the online surveys (main study with 196 participants and follow-up study with 59 participants). The first row gives the question codes and questions, the following rows gives the answers from the participants (see also README.md). We also provide <strong>descriptive results</strong> from the online surveys as PDF and the questionnaires. Please refer to the README.md file and our paper for further details about the data set and study.
description: This work was partially funded by the German Federal Ministry of Education and Research under grant 16KIS1271K.
DOI: 10.6084/m9.figshare.23903781.v1
title: Discrimination of Blood Metabolomics Profiles in Neonates with Idiopathic Polyhydramnios

description: Blood metabolites of 32 patients with IPH and 32 normal controls admitted to the Sixth Affiliated Hospital of Sun Yat-sen University between January 2017 and December 2022 were analyzed using liquid chromatography-mass spectrometry (LC-MS/MS). Orthogonal partial least squares discriminant analysis (OPLS-DA) and metabolite enrichment analyses were performed to identify the differential metabolites and metabolic pathways. SPSS statistical software and Medcalc software were used for statistical analyses.
DOI: 10.5281/zenodo.8223411
title: Phylogeography of western carp gudgeon

description: The genomic, allozyme, and mtDNA datasets and analyses that underlie the manuscript "Phylogeography of a widespread Australian freshwater fish, western carp gudgeon (Eleotridae: <em>Hypseleotris klunzingeri</em>): cryptic species, hybrid zones and strong intra-specific divergences.", as submitted by Unmack et al. to the journal PeerJ.
DOI: 10.5281/zenodo.8223410
title: Phylogeography of western carp gudgeon

description: The genomic, allozyme, and mtDNA datasets and analyses that underlie the manuscript "Phylogeography of a widespread Australian freshwater fish, western carp gudgeon (Eleotridae: <em>Hypseleotris klunzingeri</em>): cryptic species, hybrid zones and strong intra-specific divergences.", as submitted by Unmack et al. to the journal PeerJ.
DOI: 10.6084/m9.figshare.23903907
title: Cooking or protection.xlsx

description: Calculations of average energetic return on gathering plants and hunting prey at Kelly, R.L., 2013. The lifeways of hunter-gatherers: The foraging spectrum. Cambridge University Press, Cambridge. Table 3.4
DOI: 10.5281/zenodo.8217153
title: DATA SET OF 'SOCIAL AWARENESS OF THE CAUSES, SYMPTOMS OF BIPOLAR DISORDER AND THE REVIEW OF LAY THEORIES'

description: It is the dataset of the article titled ''SOCIAL AWARENESS OF THE CAUSES, SYMPTOMS OF BIPOLAR DISORDER AND THE REVIEW OF LAY THEORIES'.