cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/v88xfw5wyx.2
title: An interactive database for the investigation of high-density peptide microarray guided interaction patterns and antivenom cross-reactivity

description: Snakebite envenoming is a major neglected tropical disease that affects millions of people every year. The only effective treatment against snakebite envenoming consists of unspecified cocktails of polyclonal antibodies purified from the plasma of immunized production animals. Currently, little data exists on the molecular interactions between venom toxin epitopes and antivenom antibody paratopes. To address this issue, high-density peptide microarray (hdpm) technology has recently been adapted to the field of toxinology. However, analysis of such valuable datasets requires expert understanding and, thus, complicates its broad application within the field. In the present study, we developed a user-friendly, and high-throughput web application named “Snake Toxin and Antivenom Binding Profiles” (STAB Profiles), to allow straight-forward analysis of hdpm datasets. To test our tool and evaluate its performance with a large dataset, we conducted hdpm assays using all African snake toxin protein sequences available in the UniProt database at the time of study design, together with eight commercial antivenoms in clinical use in Africa, thus representing the largest venom-antivenom dataset to date. Furthermore, we introduced a novel method for evaluating raw signals from a peptide microarray experiment and a data normalization protocol enabling intra-microarray and even inter-microarray chip comparisons. Finally, these data, alongside all the data from previous similar studies by Engmark et al., were preprocessed according to our newly developed protocol and made publicly available for download through the STAB Profiles web application (http://tropicalpharmacology.com/tools/stab-profiles/). With these data and our tool, we were able to gain key insights into toxin-antivenom interactions and were able to differentiate the ability of different antivenoms to interact with certain toxins of interest. The data, as well as the web application, we present in this article should be of significant value to the venom-antivenom research community. Knowledge gained from our current and future analyses of this dataset carry the potential to guide the improvement and optimization of current antivenoms for maximum patient benefit, as well as aid the development of next generation antivenoms.
DOI: 10.17632/vvy3j8p4jn.1
title: Raw data - A semi-automatic approach for epicardial adipose tissue segmentation and quantification on cardiac CT scans

description: Research data
DOI: 10.17632/w4tpmhwngb.1
title: Data for: Comparison of Immunosuppressive and Angiogenic Properties of Human Amnion-Derived Mesenchymal Stem Cells between 2D and 3D Culture Systems

description: Raw data for the article: Comparison of Immunosuppressive and Angiogenic Properties of Human Amnion-Derived Mesenchymal Stem Cells between 2D and 3D Culture Systems.
DOI: 10.25345/c5sd8t
title: MassIVE MSV000085411 - The Lockdown Mass Spec Challenge
title: The Lockdown Mass Spec Challenge from https://cenapt.pharm.uic.edu/2020/05/08/The-Lockdown-Mass-Spec-Challenge/
DOI: 10.17632/38vjzdpyg9.1
title: Piparo mud volcano

description: Electrical resistivity tomography method was used to monitor near-surface structures of a mud volcano in Piparo, Trinidad. This method utilizes the Wenner array electrode configuration, electrode spacing of 3 m, and 14 parallel lines spaced at 12 m apart. We acquired data at two different times. The first dataset were acquired in July 2018. On the 21st of August 2018, a magnitude 6.9 earthquake occurred near the northern coast of Venezuela, and greatly affected the study area, as well as the majority of Trinidad. The second dataset were acquired in January 2019. The data (electrical resistivity data.rar) contain: July 2018 2D and pseudo-3D data sets January 2019 2D and pseudo-3D data sets
DOI: 10.17632/g923c254nc.1
title: Raw data - The Predictive Value of Coronary Artery Calcium Scoring for Major Adverse Cardiac Events According to Renal Function (An International Multicenter [CONFIRM] Registry)

description: Research data
DOI: 10.17632/r7vbg35kx4.1
title: Relationship between device acceptance and patient-reported outcomes in Left Ventricular Assist Device (LVAD) recipients

description: Raw data for the article: Relationship between device acceptance and patient-reported outcomes in Left Ventricular Assist Device (LVAD) recipients
DOI: 10.17632/r7vbg35kx4.2
title: Data for: Relationship between device acceptance and patient-reported outcomes in Left Ventricular Assist Device (LVAD) recipients

description: Raw data for the article: Relationship between device acceptance and patient-reported outcomes in Left Ventricular Assist Device (LVAD) recipients
DOI: 10.17632/xpzt8rsxbc.2
title: Simulation of the geographical spread of COVID-19 disease based on mobile cell data: animated dispersal of undiagnosed infected and modelling the mobility behaviour under displacement restrictions

description: Real-time tracking of the spatial diffusion of airborne diseases, and especially COVID-19 is in the focal point of both recent academic studies and policymaking. Airborne pathogens are handed over by interpersonal encounters. Therefore, agent-based modelling provides a useful approach to grasp the complex and interrelated nature of spatiotemporal movement and the geographical spread of infectious diseases. Although technology development rendered it to be feasible to track the spatial spread of infected individuals, the spatial scale of data retrieval can cause challenging bottlenecks for academic analysis. Samples on community-scale, for instance, by crowdsourced data as well as the global level of international aircraft movements are addressed. However, regional-scale spread of airborne diseases conveyed by human mobility rarely comes into focus. By directing our efforts to the level of countrywide diffusion, we aim to disclose the spatial component of airborne pathogens’ infection carried over by interpersonal encounters. The mobile cell dataset we applied here is especially suitable to estimate the number of interpersonal encounters, that is enabled by co-locating the same space with an infected person within a definite timeframe. Consequently, we considered mobile phone data driven co-location as ‘locational chance’ of airborne pathogen spreading. The volume of spread, as we argue, is dependent on the interpersonal connections. According to the current results, the geographical spread of COVID-19 is dominantly carried over by latently infected individuals, who transmit the disease without showing any symptoms. We modelled the interpersonal encounters of a set of randomly chosen latent infected as an indicator of the further geographical spread of the disease. We applied two various sets of models running: one, that is based on real archive data, and the other, that simulates current mobility patterns ordered by relocation restrictions.
DOI: 10.21227/zryf-bd81
title: The experimental results for the submitted paper

description: This data set includes the experimental results of our submitted paper "Performance Evaluation and Enhancement of Satellite Networks: A complex network perspective".
DOI: 10.5281/zenodo.3820044
title: A Spatial Audio Impulse Response Compilation Captured at the WDR Broadcast Studios

description: SOFA format binaural room impulse responses (BRIRs) measured with a Neumann KU100 dummy head for 360 directions along the horizontal plane and spherical microphone array impulse responses (DRIRs) measured on different Lebedev grids at the WDR broadcast studios in Cologne. _________________________________________________________________ <strong>Contact:</strong><br> Christoph Pörschmann<br> TH Köln - University of Applied Sciences<br> Institute of Communications Engineering<br> Department of Acoustics and Audio Signal Processing<br> Betzdorfer Str. 2, D-50679 Cologne, Germany<br> https://www.th-koeln.de/akustik _________________________________________________________________ <strong>Naming Convention:</strong> <strong>LBS</strong>: Large Broadcast Studio (Klaus-von-Bismarck-Saal) <strong>SBS:</strong> Small Broadcast Studio <strong>CR1: </strong>Control Room 1 <strong>CR7</strong>: Control Room 7 <strong>KU: </strong>Neumann KU100 Dummy Head <strong>VSA</strong>: VariSphear Microphone Array <strong>MIC</strong>: (Stereo) Microphones
description: {"references": ["Stade, P. Bernsch\u00fctz, B. R\u00fchl, M. \"A Spatial Audio Impulse Response Compilation Captured at the WDR Broadcast Studios\" (2012) Proceedings of the 27th Tonmeistertagung - VDT International Convention"]}
DOI: 10.5281/zenodo.3828441
title: meteorological data

description: variable names are self-explanatory, otherwise see http://crea.uclm.es/siar/datmeteo/consulta.php?ip=2&ie=5
DOI: 10.5281/zenodo.3828442
title: meteorological data

description: variable names are self-explanatory, otherwise see http://crea.uclm.es/siar/datmeteo/consulta.php?ip=2&ie=5
DOI: 10.5281/zenodo.3828906
title: SPEC RG Technical Report: A Review of Serverless Use Cases and their Characteristics - Dataset

description: <strong><em>PrettyDataset.xlsx</em></strong> Our data set of 89 serverless use cases and their mapping to 24 characteristics. In form of an Excel file to simplify manual inspection. Columns represent characteristics, rows represent use cases. <em><strong>Dataset.csv</strong></em> Raw version of our data set of 89 serverless use cases and their mapping to 24 characteristics as a CSV file for automated analysis. Columns represent characteristics, rows represent use cases. <em><strong>Initial Characterizations.csv</strong></em> Reviewer characterizations prior to the discussion and consolidation phase. Required for the calculation of the fleiss kappa score. <em><strong>CalculateKappa.py</strong></em> Python script for the calculation of the fleiss kappa score shown in the technical report. Requires Python 3.6. <em><strong>GenerateFigures.py</strong></em> Python script for the generation of all figures shown in the technical report. Requires Python 3.6.
DOI: 10.17632/6zxfys4y3d.4
title: Dataset for Development and Validation of Authentic-based Competency Assessment Rubric for Secondary School Vocational Student: Malaysian Context

description: These data sets are aimed to full fill required publication criteria in Data In Brief. First dataset is a list of self-made authentic-based competency assessment rubric that was developed especially for the use for Multimedia Production subject in secondary school. Second dataset is content evaluation data by six evaluation panels that was recorded by Google Form. The rubric was evaluated for its content validity through an online form (Google Form). The third is the dataset of analysis on content validity using Content Validity Ratio (CVR) and Content Validity Index (CVI) based on Lawshe Method (1975). The dataset is important for teachers, assessors and policy makers for designing an effective authentic-assessment rubric for evaluating students’ competency in vocational education especially in secondary school. The datasets give initial insights into designing and developing a rubric to cater the needs of the current assessment method especially in secondary school’s vocational education. Furthermore, it can be tested with adjustments in criteria in other subjects or other language, even in multi-cultural country to gain more depth and understandings on the rubric.
DOI: 10.17632/r7mdjt7gh9.3
title: Additional material to article: Optimizing functionals using Differential Evolution

description: The file includes the additional material to article: Optimizing functionals using Differential Evolution
DOI: 10.17632/xfg78kmrpx.1
title: Raw data - Risk Reclassification With Coronary CTA-Visualized Nonobstructive Coronary Artery Disease According to 2018 American College of Cardiology/American Heart Association Cholesterol Guidelines (An International Multicenter Registry CONFIRM)

description: Research data
DOI: 10.17632/ztwg7b9x99.1
title: Raw data - Superior Risk Stratification With Coronary Computed Tomography Angiography Using a Comprehensive Atherosclerotic Risk Score

description: Research data
DOI: 10.5281/zenodo.3828644
title: Stylometric Analysis of Classical French Theatre

description: Datasets, models and scripts for the stylometric analysis of Classical French Theatre.
description: {"references": ["Datasets, models and scripts associated with Cafiero and Camps (2019), 10.1126/sciadv.aax5489"]}
DOI: 10.17632/6zxfys4y3d.3
title: Dataset for Validation for Development of Authentic-based Competency Assessment Rubric for Secondary School Vocational Student: Malaysian Context

description: These data sets are aimed to full fill required publication criteria in Data In Brief. First dataset is a list of self-made authentic-based competency assessment rubric that was developed especially for the use for Multimedia Production subject in secondary school. Second dataset is content evaluation data by six evaluation panels that was recorded by Google Form. The rubric was evaluated for its content validity through an online form (Google Form). The third is the dataset of analysis on content validity using Content Validity Ratio (CVR) and Content Validity Index (CVI) based on Lawshe Method (1975). The dataset is important for teachers, assessors and policy makers for designing an effective authentic-assessment rubric for evaluating students’ competency in vocational education especially in secondary school. The datasets give initial insights into designing and developing a rubric to cater the needs of the current assessment method especially in secondary school’s vocational education. Furthermore, it can be tested with adjustments in criteria in other subjects or other language, even in multi-cultural country to gain more depth and understandings on the rubric.
DOI: 10.17632/f3yz5xnvns.1
title: Data_2019-07-02_Miss_z
DOI: 10.17632/fscfvyw93v.1
title: Raw data - Point of Care Clinical Risk Score to Improve the Negative Diagnostic Utility of an Agatston Score of Zero: Averting the Need for Coronary Computed Tomography Angiography

description: Research data
DOI: 10.17632/shntp48zv9.1
title: Raw data - Machine learning of clinical variables and coronary artery calcium scoring for the prediction of obstructive coronary artery disease on coronary computed tomography angiography: analysis from the CONFIRM registry

description: Research data
DOI: 10.17632/znmrzkbhx2.2
title: Phylogenetic analyses of severe acute respiratory syndrome coronavirus 2 reveals multiple routes of introduction into Taiwan, the United States, Japan, and other countries
DOI: 10.25386/genetics.12284174
title: Supplemental Material for Hämälä and Tiffin, 2020

description: Supplemental_figs_tables.pdf contains supplemental figures and tables. File_S1.xlsx contains compiled genomic features. File_S2.slim contains a code for running simulations.
DOI: 10.17632/24gy83xd8p.1
title: Human condensin I and II drive extensive ATP-dependent compaction of nucleosome-bound DNA. Kong and Cutts et al
DOI: 10.17632/9zytgtcppg.1
title: Raw data from ASSIGNING MORPHOLOGICAL TRAITS AS DESCRIPTORS FOR DIFFERENTIATION BETWEEN Jatropha curcas ACCESSIONS

description: Morphological data acquired from an experimental plantation of Jatropha curcas, in order to describe phenotypically, new accessions, and F1 crosses and describe a new method for trait categorization and varietal description.
DOI: 10.17632/dsnwrr5nc7.1
title: Raw data - Integrated imaging of adrenal oncocytoma: a case of diagnostic challenge

description: Research data
DOI: 10.17632/ktyc7sm7vt.1
title: Raw data - Thyroid hormone induces progression and invasiveness of squamous cell carcinomas by promoting a ZEB-1/E-cadherin switch

description: Research data
DOI: 10.17632/nndnddwpjx.1
title: The endocannabinoid effect on sociability

description: Early life seizures in rodents leads to autistic-like behavior, characterized by low preference for novelty, deficit in social recognition and high anxiety. We used this animal model to better understand a role of the endocannabinoid system on sociability. Male Wistar rats at postnatal day 9 were subjected to pilocarpine-induced neonatal status epilepticus and controls received saline. From P60 groups received vehicle or JZL195 2 hours prior each behavioral test, in order to increase endocannabinoids availability. In social discrimination test, untreated control animals spent higher time with social novelty as compared to familiar one (t= 3.263; p&lt;0.01). The JZL195 reduced the overall time spent with the conspecifics (F(1,19)=6.11; p=0.023) and also inhibited the social discrimination (t=0.17; p&gt;0.05). In this paradigm, the significant interaction between factors (conspecific x treatment) (F(1,19)= 4.863;p=0.04) suggests that control animals under JZL195 effect exhibited reduced social motivation. In contrast, the untreated experimental group did not show preference for social novelty (t= 0.336; p&gt;0.05) and JZL195 did not modify the impaired social discrimination. In social recognition test, control animals, regardless the treatment, showed habituation to the social stimulus (F(2,32)= 11.64, p=0.0002), suggesting that animals exhibited social recognition memory, but it was reduced by the treatment with JZL 195 (F(1,16)= 5.086, p= 0.038). Moreover, time of investigation increased when the familiar social stimulus was replaced by new one (F(1,16)=10.24, p=0.005), suggesting that social memory recognition was preserved. Treated control animals exhibited a lower time of investigation toward social stimulus (F(1,16)=9.092, p=0.0082), suggesting that JZL195 reduced the social motivation without affect social recognition memory. In the experimental group, the time of investigation decreased when exposed to the same animal (F (2,34)=7.92, p=0.0015), suggestive that the social recognition was preserved and unaffected by the treatment with JZL195 (F(1,17)= 0.246; n.s). The JZL195 decreased the time of investigation only in control group (t=2.464, p= 0.025) to values that are similar to the experimental one. After behavioral tests, brain tissues were used for CB1 receptor quantification by Elisa and for gene expression by RT-PCR: no difference between control and experimental animals was detected. Our results state that increased endocannabinoid signaling reduces social motivation in intact rats and has no effect in animals submitted to early life seizures.
DOI: 10.21227/vwaz-f721
title: UWBgestures

description: We will upload final dataset later after reviewers responses.
DOI: 10.17632/48v6t9r3w6.1
title: Combined TP53 and RB1 Loss Promotes Prostate Cancer Resistance to a Spectrum of Therapeutics and Confers Vulnerability to Replication Stress. Nyquist et al.

description: These are the uncropped western blots used in figures 3 and 4
DOI: 10.17632/7x6csdbbff.2
title: Risk Factors and Factors Associated With Postpartum Depression in a High-Risk Maternity Clinic in Southern Brazil: A Cross-Sectional Study

description: Data set of our research.
DOI: 10.17632/ptypbtv9fk.1
title: Raw data - Longitudinal quantitative assessment of coronary plaque progression related to body mass index using serial coronary computed tomography angiography

description: Research data
DOI: 10.17632/trnjpmsym3.1
title: Raw data - Long-term prognostic utility of computed tomography coronary angiography in older populations

description: Research data
DOI: 10.17632/wbw5h8zx7b.1
title: MORPHOMETRIC STUDY OF ORBITARY AND PERIORBITARY REGION IN PERUVIAN SKULLS: IMPORTANCE TO SURGICAL APPROACH

description: This study quantifies the orbital characteristics of sixty dried skulls from Peruvian origin. There was no difference between both eyes in the periorbital region and orbital volume, however measurements of medial and lateral wall from the left orbital region are smaller than the right side. Orbital volumen measurements were similar to those reported by Asian studies but different from those reported by Chilean previous studies. It would be explained by the minimal genetic differences between Asian and Amerindian races, as demonstred by Cavalli-Sforza [1992], while CANDELA group found that Chilean genes are mostly of European ancestry, like Colombian population (Ruiz-Linares A, 2014).
DOI: 10.21227/n14c-pj95
title: UWBgestures

description: test
DOI: 10.5525/gla.researchdata.980
title: Small-area Deprivation Measure for Brazil: Data Documentation

description: This data set provides the first-small area deprivation measure for the whole of Brazil. The measure was developed for analysing and monitoring health inequalities in Brazil. It is based on the 2010 Brazilian Population Census, conducted by the Brazilian Institute of Geography and Statistics (IBGE), covering approximately 67 million households and 190 million people.1 The small-area deprivation measure data for Brazil is accompanied by a comprehensive technical report that describes the development of the deprivation measure (see related publications). Census sectors, the smallest census geographic areas, have been used as the units of analysis for the small-area deprivation measure. The data set includes 310,120 census sectors. The population size of the census sectors varies considerably, with some areas including very few people. Statistical disclosure control (SDC) has been applied by the IBGE and data for the smallest sectors is not available. This affects 6302 (2%) census sectors and approximately 0.2% of the total population surveyed by the census. Areas affected by SDC are not included in the deprivation measure. In addition, 600 further census sectors had to be removed from the analysis as they only included people living in communal residences and no private households. As a result, a deprivation measure is calculated for a total of 303,218 sectors
DOI: 10.17632/7x6csdbbff.1
title: Risk Factors and Factors Associated With Postpartum Depression in a High-Risk Maternity Clinic in Southern Brazil: A Cross-Sectional Study

description: Data set of our research.
DOI: 10.17632/98326d8m8r.1
title: Self-Regulation Failure and Academic Achievement: A Profile Model

description: The aim of this study was to introduce a model profile of self-regulation failure in academic contexts. We examined the causal relationships among variables that contribute to self-regulation failure. A path model with six factors and students’ performance as measured by GPA was tested. The hypothesized model included six variables. The self-regulation failure scale was administered to 400 undergraduate students. The participants were randomly selected from two different higher educational institutions in the Sultanate of Oman: The Sultan Qaboos University and Higher College of Technology. The reason to choose two different institutions was to reach a representative sample of undergraduates in the Sultanate. Undergraduates (221; 60.2 % female, 39.8 % male) completed the self-regulation failure scale that entails six subscales: gratification delay, transcendence, misregulation, laziness, procrastination, and psychic cost. The statistical analysis for the data were done using SPSS & AMOS. This study provided some insights in understanding the causal relationships among self-regulation failure factors.