cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4529352
title: Data set from Mazzaccaro D, Giacomazzi F, Giannetta M, Varriale A, Scaramuzzo R, Modafferi A, Malacrida G, Righini P, Marrocco-Trischitta MM, Nano G. Non-Overt Coagulopathy in Non-ICU Patients with Mild to Moderate COVID-19 Pneumonia. J Clin Med. 2020 Jun 8;9(6):1781. doi: 10.3390/jcm9061781. PMID: 32521707; PMCID: PMC7355651.

description: Data set from the article Mazzaccaro D, Giacomazzi F, Giannetta M, Varriale A, Scaramuzzo R, Modafferi A, Malacrida G, Righini P, Marrocco-Trischitta MM, Nano G. Non-Overt Coagulopathy in Non-ICU Patients with Mild to Moderate COVID-19 Pneumonia. J Clin Med. 2020 Jun 8;9(6):1781. doi: 10.3390/jcm9061781. PMID: 32521707; PMCID: PMC7355651. <strong>Abstract</strong> <strong>Introduction: </strong>Aim of the study is to assess the occurrence of early stage coagulopathy and disseminated intravascular coagulation (DIC) in patients with mild to moderate respiratory distress secondary to SARS-CoV-2 infection. <strong>Materials and methods: </strong>Data of patients hospitalized from 18 March 2020 to 20 April 2020 were retrospectively reviewed. Two scores for the screening of coagulopathy (SIC and non-overt DIC scores) were calculated. The occurrence of thrombotic complication, death, and worsening respiratory function requiring non-invasive ventilation (NIV) or admission to ICU were recorded, and these outcomes were correlated with the results of each score. Chi-square test, receiver-operating characteristic curve, and logistic regression analysis were used as appropriate. <em>p</em> Values &lt; 0.05 were considered statistically significant. <strong>Results: </strong>Data of 32 patients were analyzed. Overt-DIC was diagnosed in two patients (6.2%), while 26 (81.2%) met the criteria for non-overt DIC. Non-overt DIC score values ≥4 significantly correlated with the need of NIV/ICU (<em>p</em> = 0.02) and with the occurrence of thrombotic complications (<em>p</em> = 0.04). A score ≥4 was the optimal cut-off value, performing better than SIC score (<em>p</em> = 0.0018). Values ≥4 in patients with thrombotic complications were predictive of death (<em>p</em> = 0.03). <strong>Conclusions: </strong>Overt DIC occurred in 6.2% of non-ICU patients hospitalized for a mild to moderate COVID-19 respiratory distress, while 81.2% fulfilled the criteria for non-overt DIC. The non-overt DIC score performed better than the SIC score in predicting the need of NIV/ICU and the occurrence of thrombotic complications, as well as in predicting mortality in patients with thrombotic complications, with a score ≥4 being detected as the optimal cut-off.
DOI: 10.5281/zenodo.4529351
title: Data set from Mazzaccaro D, Giacomazzi F, Giannetta M, Varriale A, Scaramuzzo R, Modafferi A, Malacrida G, Righini P, Marrocco-Trischitta MM, Nano G. Non-Overt Coagulopathy in Non-ICU Patients with Mild to Moderate COVID-19 Pneumonia. J Clin Med. 2020 Jun 8;9(6):1781. doi: 10.3390/jcm9061781. PMID: 32521707; PMCID: PMC7355651.

description: Data set from the article Mazzaccaro D, Giacomazzi F, Giannetta M, Varriale A, Scaramuzzo R, Modafferi A, Malacrida G, Righini P, Marrocco-Trischitta MM, Nano G. Non-Overt Coagulopathy in Non-ICU Patients with Mild to Moderate COVID-19 Pneumonia. J Clin Med. 2020 Jun 8;9(6):1781. doi: 10.3390/jcm9061781. PMID: 32521707; PMCID: PMC7355651. <strong>Abstract</strong> <strong>Introduction: </strong>Aim of the study is to assess the occurrence of early stage coagulopathy and disseminated intravascular coagulation (DIC) in patients with mild to moderate respiratory distress secondary to SARS-CoV-2 infection. <strong>Materials and methods: </strong>Data of patients hospitalized from 18 March 2020 to 20 April 2020 were retrospectively reviewed. Two scores for the screening of coagulopathy (SIC and non-overt DIC scores) were calculated. The occurrence of thrombotic complication, death, and worsening respiratory function requiring non-invasive ventilation (NIV) or admission to ICU were recorded, and these outcomes were correlated with the results of each score. Chi-square test, receiver-operating characteristic curve, and logistic regression analysis were used as appropriate. <em>p</em> Values &lt; 0.05 were considered statistically significant. <strong>Results: </strong>Data of 32 patients were analyzed. Overt-DIC was diagnosed in two patients (6.2%), while 26 (81.2%) met the criteria for non-overt DIC. Non-overt DIC score values ≥4 significantly correlated with the need of NIV/ICU (<em>p</em> = 0.02) and with the occurrence of thrombotic complications (<em>p</em> = 0.04). A score ≥4 was the optimal cut-off value, performing better than SIC score (<em>p</em> = 0.0018). Values ≥4 in patients with thrombotic complications were predictive of death (<em>p</em> = 0.03). <strong>Conclusions: </strong>Overt DIC occurred in 6.2% of non-ICU patients hospitalized for a mild to moderate COVID-19 respiratory distress, while 81.2% fulfilled the criteria for non-overt DIC. The non-overt DIC score performed better than the SIC score in predicting the need of NIV/ICU and the occurrence of thrombotic complications, as well as in predicting mortality in patients with thrombotic complications, with a score ≥4 being detected as the optimal cut-off.
DOI: 10.17632/rr5kwfb98f.1
title: Estimating Potential Distribution of Sweetgum Pest Acanthotomicus suncei and Potential Economic Losses in Nursery Stock and Urban Areas in China

description: Raw data of publication "Estimating Potential Distribution of Sweetgum Pest Acanthotomicus suncei and Potential Economic Losses in Nursery Stock and Urban Areas in China" in journal Insects at 2021
DOI: 10.17632/6873gsrjfz.1
title: SUTEAU V_JCEM supplemental data

description: Atlas of G Protein-Coupled Receptors in progressive and radioiodine-refractory thyroid cancer in the Era of Precision Medicine
DOI: 10.17632/8kcnh4kcd8.1
title: Controlled expression of the migratory phenotype affects oxidative status in birds
DOI: 10.17632/73mx8jrknh.1
title: Heterogeneous Elastic Moduli of Laminae and Its Implications for Mechanical Characterization of Shale

description: This data set contains the mechanical data of shale laminae for micro-indentation tests.
DOI: 10.17632/rjs2mvs6f3.1
title: LINF_090011500

description: histidine phosphatase; Leishmania infantum
DOI: 10.17632/kv6zv7kpmr.1
title: LINF_090011200

description: leucine-rich repeat protein; Leishmania infantum
DOI: 10.17632/ny24d49wkd.1
title: Data for: Virtual Level Analysis Applied to Wave Flume Experiments: The Case of Waves-Cubipod Homogeneous Low-Crested Structure Interaction

description: This database contains Supplementary Material of the next article: Escudero, M.; Hernández-Fontes, J.V.; Hernández, I.D.; Mendoza, E. "Virtual Level Analysis Applied to Wave Flume Experiments: The Case of Waves-Cubipod Homogeneous Low-Crested Structure Interaction". Journal of Marine Science and Engineering, 2021. Please refer to that article when using this data.
DOI: 10.17632/f7tmmjsc3y.1
title: Multi-Input Deep Learning Model with RGB and Hyperspectral Imaging for Banana Grading
DOI: 10.17632/c6px8mbg24.1
title: LINF_090010300

description: Tetratricopeptide repeat (TPR) - containing protein; Leishmania infantum
DOI: 10.17632/t7bn79wsvy.1
title: LINF_090010200

description: Plus-3 domain/Zinc finger, C3HC4 type (RING finger) containing protein; Leishmania infantum
DOI: 10.17632/sbfhm6ht67.1
title: LINF_090009700

description: hypothetical protein - conserved; Leishmania infantum
DOI: 10.17632/ry8tz92yc8.1
title: LINF_090008100

description: DNA replication licensing factor MCM4; Leishmania infantum
DOI: 10.17632/dw8kzrcz7j.1
title: LINF_090007900

description: ATP-dependent protease ATPase subunit HslU | HslU2; Leishmania infantum
DOI: 10.17632/b8cngb34td.1
title: 攻击创伤

description: 数据和评定数据
DOI: 10.17632/n73y5gjx7v.1
title: 网络心理

description: 数据
DOI: 10.17632/bgk24rywg8.1
title: 实验儿童心理

description: 数据
DOI: 10.17632/8ngkgz69zb.4
title: Data Mining and Unsupervised Machine Learning in Canadian In Situ Oil Sands Database for Knowledge Discovery and Carbon Cost Analysis

description: A better understanding of greenhouse gas (GHG) emissions resulting from oil sands (bitumen) extraction can help to meet global oil demands, identify potential mitigation measures, and design effective carbon policies. While several studies have attempted to model GHG emissions from oil sands extractions, these studies have encountered data availability challenges, particularly with respect to actual fuel use data, and have thus struggled to accurately quantify GHG emissions. This dataset contains actual operational data from 20 in-situ oil sands operations, including information for fuel gas, flare gas, vented gas, production, steam injection, gas injection, condensate injection, and C3 injection.
DOI: 10.17632/rjxv7yknmt.1
title: 儿童青少年

description: 数据
DOI: 10.17632/rsw4hn7mhs.1
title: From farmers’ perceptions of forest importance to perceived willingness-to-involve REDD+ program: A data from household survey in Nghe An province

description: This research is conducted to obtain information about (1) residents’ perceptions of the importance of forests and the rationale behind their forest trees of choice, (2) how forests contribute as a source of livelihood, (3) potential for households’ engagement in REDD+. This dataset can be useful for research scientists or environmentalists or policymakers who want to keep the public informed about current affairs of forests-based rural livelihood and REDD+ associated with farmers’ participation conditions and devise appropriate forest protection and development policies nationwide.
DOI: 10.17632/g3dn7mzvhb.1
title: data and codes for "Originating a counter-COVID measure for 3-objective portfolio selection and computing mean parameterized nondominated paths for sensitivity analysis"

description: data and codes
DOI: 10.17632/6y8xhhxkt3.1
title: Rechargeable Li-CO2 Batteries with Graphdiyne as Efficient Metal-Free Cathode Catalysts

description: Physical characterization,electrochemical analysis and battery test data
DOI: 10.17632/t768bkhfz7.1
title: Data set of Wettability of anionic and cationic surfactants on the aluminum surface

description: The contact angle (θ) of sodium dodecyl sulfate (SDS), Aerosol-OT (sodium bis-2-ethyl hexyl sulphosuccinate or AOT) and cetyltrimethylammonium bromide (CTAB) increase while the surface free energy decreases by increasing the volume fraction of isopropanol on aluminum foil showing a hydrophobic nature of the surface with the increase in concentrations of various solvent used. The variation of adhesion work with alcohol surface tension increases linearly whereas the convex polynomial fittings curve of adhesion work with the logarithm of alcohol mole fraction. The curvilinear fitting with the third degreed polynomial equation of Cosθ with 1/√(γL ) for CTAB, the concave fitting with the third degreed polynomial equation of Cosθ with 1/√(γL ) for the high concentration of SDS whereas the curvilinear fitting with the third degreed polynomial equation of Cosθ with 1/√(γL ) for low concentration of SDS. The concave fitting with the third degreed polynomial equation of Cosθ with 1/√(γL ) for AOT. Investigated data highlight the adhesion work with contact angles that give nonlinear variation. The plot between Cosθ and the surface tension of alcohol as well as adhesion work with log C give curvilinear variation where C is the concentration of surfactant.
DOI: 10.17632/ywsxzx5v88.2
title: Banana Project Dataset
DOI: 10.17632/ntzy846mpx.1
title: Supplementary data to the paper: The Effects of Dietary Interventions on IGF-1 Levels

description: Supplementary data to the paper: The Effects of Dietary Interventions on IGF-1 Levels – A Systematic Review of the Literature. (Manuscript in Preparation) The supplementary data includes: 1. Used search strategy in MEDLINE for the systematic review of the literature. 2. Risk of bias analysis of the included studies, using the Revised Cochrane risk-of-bias tool for randomized trials. 3-8. Overview of the characteristics and results of the included studies, per diet intervention type.
DOI: 10.17632/23d7v777cg.1
title: Mg-Cu-Y LENS beads

description: This dataset describes the processing conditions for Mg-Cu-Y beads additively manufactured using the LENS MR-7 system. This includes the mass flowrate for each elemental powder, the power and pulse duration for the initial deposition and remelting steps as well as the optical reflectivity and compositional data gathered for these beads. Mg-Cu-Y is a known glass-forming system, and optical reflectivity is correlated with the presence of amorphous material, which is generally evident with the printed beads.
DOI: 10.17632/fvhwgwvfxc.1
title: Supplementary data set regarding development of a hyperspectral imaging technique using LA-ICP-MS to determine the spatial distribution of nutrients in soil cores

description: This supplementary raw data set belongs to the article entitled "Data set showing the development of a hyperspectral imaging technique using LA-ICP-MS to determine the spatial distribution of nutrients in soil cores" in Data in Brief journal. This data set can be used to reproduce images cited in the manuscript.
DOI: 10.17632/jchfxsrvsb.1
title: COVID-19-Europe-Ozone-NOx-VOC

description: Data outputs from the joint inversion study done during 2020 (lockdown) and 2019 (baseline) in three months of March, April, and May over Europe. The file consists of: Lat (Latitude coordinates) (GRIDCRO2D_Europe_Covid19_2019061 ; netcdf file) Lon (Longitude coordinates) (GRIDCRO2D_Europe_Covid19_2019061 ; netcdf file) AKs_NOx (averaging kernels for top-down NOx) (*.mat) AKs_VOC (averaging kernels for top-down VOC) (*.mat) Ratio_total_NOx (ratio of the posterior to the prior emissions) (*.mat) Ratio_total_VOC (ratio of the posterior to the prior emissions) (*.mat) Prior_Cov_rel_NOx (error assumed in the a priori, they are in 0-1 relative unit with respect to the prior values). (*.mat) Prior_Cov_rel_VOC (error assumed in the a priori, they are in 0-1 relative unit with respect to the prior values). (*.mat) Post_Cov_rel_NOx (estimated errors in the a posteriori, they are in 0-1 relative unit with respect to the posterior values). (*.mat) Post_Cov_rel_VOC (estimated errors in the a posteriori, they are in 0-1 relative unit with respect to the posterior values). (*.mat)
DOI: 10.17632/fscy8463cd.1
title: Concatenated Toxoplasma gondii PCR-RFLP alignment
DOI: 10.17632/892g33m7hh.1
title: The determinants of COVID-related perceptions

description: We used an online survey to estimate the impact of various sociodemographic factors on the COVID-related perceptions measured by stress, knowledge, and adoption of preventive behaviors. The working hypothesis was that the sociodemographic factors such as age, race, education level, family income, gender would influence the perception of COVID-19, and prediction models built on those factors would precisely forecast preventive behaviors. The survey questionnaire was built and sent out via red cap. The primary outcome of the study was COVID-related perceptions. The study participants were divided into categories based on several sociodemographic factors. Fifty US states were reorganized into nine regions based on the census bureau's recommendation. We also asked whether the participant was a healthcare worker (HCW) (yes vs. no), had a family member with COVID-19 (yes vs. no). We also divided the survey respondents into pre vs. post-vaccine launch, through November 1st, when Pfizer announced a successful vaccine trial and a new wave of pandemic hit the USA. A new variable was computed to estimate perceived threat based on age, HCW, chances of having severe COVID infection, state of COVID in his area. We used 'factor analyses' to abbreviate the metrics on stress, knowledge, preventive behavior, and perceived risk into normalized combined nominal scores (0-10), respectively. Prediction models for COVID-related perceptions were built using a generalized linear model. Variables such as age, race, education level, family income, gender, US region, HCW, healthcare access, and vaccine launch period, perceived threat were considered as potential predictors. Three thousand seven hundred thirty-four US-based adults responded to the survey link and were included in the study. The participants were predominantly white and females. Gender and age were the highest predictors of stress, while participants with better education and income performed better with knowledge related questions. Females, participants with higher education, and African-Americans or Hispanics had a better attitude to preventive behaviors than the remaining population. The GLM prediction models performed better compared to null-models for all three metrics of COVID-related perceptions.
DOI: 10.17632/kbzskd37zy.2
title: The factors determining the preference for COVID-19 Vaccine

description: A large section of the community is still skeptical about accepting COVID-vaccine. To understand the ground reality, we conducted a nationwide online survey study in the USA. The working hypothesis was that the sociodemographic factors such as age, race, education level, family income, gender would influence the decision of vaccine acceptance, and a prediction model built on those factors would precisely predict the vaccine acceptance. It was an anonymous survey, and we did not ask for any identifier. The survey questionnaire was built in Redcap and was primarily divided into three sections. The survey period was between 5/2020-01/2021. The primary outcome of the study was COVID-vaccine acceptance vs. hesitance. The study participants were divided into categories based on several sociodemographic factors. Fifty US states were regrouped into nine regions based on the census bureau's recommendation. We further asked whether the participant was a healthcare worker (HCW) (yes vs. no) and if they were satisfied with healthcare access (1-5 Likert scale). We divided the participants into pre vs. post-vaccine launch, through November 1st, since right after Pfizer announced a successful vaccine trial and a new COVID wave hit the USA. We also included questions to evaluate COVID-related knowledge and the source of COVID-related information. A new variable was computed to estimate perceived threat based on old age, HCW, chances of having severe COVID infection, state of COVID in his area. Several metrics of knowledge and perceived threat were consolidated into two continuous variables using factor analyses. Prediction models were built using binary backward logistic regression and neural networks. Nine variables- age, race, education level, family income, gender, US region, HCW, healthcare access, and vaccine launch period, were considered as potential predictors of vaccine acceptance. The US-based participants who completed all three sections of the survey and answered the key question of vaccine acceptance were considered eligible participants. Among 2978 eligible respondents, 81.1% of the participants indicated their willingness to accept the vaccine. Based on chi-square tests, all the predictors demonstrated an association with vaccine acceptance except the vaccine-launch period. Both the models identified age, education, and race as the top predictors, while the vaccine-launch period and gender were the least significant. People of middle-age, lower education, and black race were the most skeptical. Fear of side effects was the predominant cause of vaccine refusal affecting 84.2% of vaccine-hesitant vs. 51.0% of vaccine-compliant participants. The vaccine-complaint than the vaccine-hesitant group had more COVID-related knowledge, higher perceived threat, and better followed the CDC or other official health websites. There was an association between influenza and COVID-vaccine acceptance (χ2=316.6(df=4,N=2976),p&lt;0.001).
DOI: 10.17632/bxx79583b6.1
title: Experimental videos in scrutinizing multiphase shock flood wave over different downstream initial conditions

description: Experimental videos: Herein, 111 distinct video files have been presented which related to dam-break multiphase flood shock wave experiments, performed in the Shiraz University, Civil and Environmental Engineering Department’s Hydraulic Lab (Shiraz, Iran). A clear water reservoir (without sediment) as well as 2 different sediment depths (0.03 and 0.075 m) were considered as initial upstream conditions to investigate multiphase flash flood characteristics. These 3 initial upstream conditions make the upstream reservoir 0% to 25% deposited with sedimentation (with respect to the total 30 cm height of the reservoir). Six different initial downstream conditions have also been considered. Semi-circular obstacles (‘humps’) of two different cross-sections (0.045 m or 0.075 m) were stiffly fixed to the bottom of the flume’s downstream bed and further fixed to the sides of the flume using rubber bands, 1 m downstream from the gate (dam). Dam-break scenarios in the smooth downstream bed (no obstacle) were used to acquire a basis of comparison for other downstream conditions. Additionally, wet-bed downstream conditions with three different standing water initial heights (0.02, 0.04 and 0.5 m) were considered as initial downstream conditions to investigate multiphase flash flood characteristics. Considering three cameras which covered length of the flume, 18 different dam break scenarios and 2 or 3 repetitions conducted for each test, a total of 111 videos collected from 37 distinct experiments which presented in this document. The additional explanations related to video files can be seen in “Explanation table of videos” file which attached to this document in Microsoft Word (DOCX/DOC) format. Foad Vosoughi, Gholamreza Rakhshandehroo, Mohammad Reza Nikoo Affiliations 1st Author: Foad Vosoughi, Research Associate, Department of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran. foad.vosooghi@gmail.com 2nd Author: Gholamreza Rakhshandehroo, Professor, Department of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran. 3rd Author: Mohammad Reza Nikoo, Associate Professor, Department of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran.
DOI: 10.17632/px89dk6ck9.1
title: NOMAD nadir-geometry retrievals of CO in the Mars atmosphere

description: This file contains column-integrated carbon monoxide volume mixing ratio retrievals using observations of Mars taken by the NOMAD LNO instrument on-board the ExoMars Trace Gas Orbiter.
DOI: 10.34740/kaggle/dsv/1926230
title: English-French Translation Dataset
DOI: 10.17632/kpjjvg39k3.2
title: Gossip, Sabotage, and Friendship Network Dataset

description: Data were collected from a Men’s and Women’s collegiate crew team members from a small liberal arts college. Participants (N = 44) reported information about how often they gossip about members of the team (positively, negatively), who they have had hooked-up with on the team, who they consider to be friends with on the team, whether they have to sabotaged or been sabotaged by any teammates, their well-being and feelings of loneliness.
DOI: 10.17632/zwxpjbjz44.3
title: Additional material to article: Dual Numbers and Automatic Differentiation to efficiently compute Velocities and Accelerations

description: Dual numbers are used to develop methods for computing velocities and accelerations