cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/ptmgr4vcz7.1
title: ANOVA Results

description: Results from a Mixed Model Analysis of Variance in SAS PROC GLM to test differences in F1 scores across algorithms and models. The ANOVA model included test sets nested in models as a categorical random factor, and algorithms and models as fixed categorical factors. Scheffé adjustment for multiple comparisons was used to control type I error rate.
DOI: 10.17632/vscbkvsf7y.1
title: Oracle Fusion SCM Online Training in Hyderabad

description: Best Oracle fusion scm online training Hyderabad provided by Tech Leads IT covers all these modules explanation along with end to end configurations and transactions. We create a project and set up all the modules from scratch explaining each and every topic along with examples and scenarios after completion of each module setup performing transactions from every module and providing detailed notes with navigation and screen shots. Each student's questions and practice doubts are clarified in every session. 
Tech Leads IT is brilliant in delivering Cloud SCM Training for students across the globe using cloud meetings, we provide each day recorded session access to students from our portal.
Contact US 
Address: 44/A, #302, Floor no: 3, Geetanjali Apartments, Opp Bahar Cafe, Near SR Nagar Police Station SR Nagar, Hyderabad.
Call Us: +91-8125323232
Email Us: info@techleadsit.com
Website Link: https://www.techleadsit.com/oracle-fusion-scm-online-training-course
DOI: 10.17632/scm3n5fxtw.1
title: Measuring Asymmetry in Facial Morphea via 3D Stereophotogrammetry

description: Supplemental Figure 1A-B: Stereolithography (STL) models of a patient with right sided hemifacial atrophy. Layer one is the untouched STL model (A). Layer two is the STL model with the unaffected side (patient’s left) mirrored over the mid-sagittal plane (B). 

Supplemental Figure 2: Qualitative Rating Flow Chart. Supplemental Figure 1 depicts the flow of the qualitative rating process and the inter- and intra-rater reliability for both experts and non-experts. All raters first reviewed a set of training 2D clinical photographs depicting mild, moderate, or severe disease, and then rated both 2D clinical images and 3D stereophotogrammetry as mild/moderate/severe. Raters repeated their ratings 4 weeks later to determine intra-rater reliability. Both experts and non-experts determined one final rating for each patient after discussion within the group, which was then compared between experts and non-experts. One final rating was assigned after discussion amongst the whole group for purposes of subsequent analysis.  

Supplemental Figure 3A-C: 3D Stereophotogrammetry can be used to detect asymmetry in facial morphea, often challenging to appreciate clinically and on traditional photographs alone. This figure depicts a 15-year-old male with craniofacial morphea through multiple angles in traditional clinical photographs (A) and 3D stereophotogrammetry-generated three-dimensional images (B) and heat map (C), demonstrating asymmetry that was not readily apparent on clinical examination. Often, asymmetry can be difficult to assess clinically but can be easier to appreciate when using 3D stereophotogrammetry. 

Supplemental Figure 4A-D: 3D Stereophotogrammetry of En Coup De Sabre Morphea and Parry Romberg Syndrome. 3D-Stereophotogrammetry-generated three-dimensional images (A,C) and heat maps (B,D) are provided for a 22-year-old male patient with linear morphea en coup de sabre (A,B), and a 14-year-old female patient with Parry Romberg Syndrome (C,D).

Supplemental Figure 5A-H: Comparison of Asymmetry Values to LoSCAT Scores. PGA-D scores correlated to lower face asymmetry (cheek and mouth), but LoSDI scores do not correlate to asymmetry values of any facial subunit. Supplemental Figure 3 A-H demonstrates the correlation between the LoSDI and PGA-D to asymmetry values of different facial subunits. LoSDI scores did not correlate to asymmetry of any facial subunit (A-D), in contrast to the PGA-D, which correlated to mean cheek and mouth asymmetry (F, H). This emphasizes the weakness of the LoSDI in facial morphea. The LoSAI was excluded from this analysis it does not include tissue loss
DOI: 10.17632/mv9gt8c2fm.1
title: Bifunctional Common-used Fibers for High Efficiency Self-powered Fib er-shaped Photocapacitors

description: Raw data for thesis testing, including electrochemical testing, instrumental characterization, etc.
DOI: 10.17632/bkdbyx8z9w.1
title: The Effect of Collectivism-Based Organisational Culture on Employee Commitment in Public Organisations

description: Data for The Effect of Collectivism-Based Organisational Culture on Employee Commitment in Public Organisations
DOI: 10.17632/d7swpp8pxm.1
title: Dataset for an analysis of IPO impact on rival firms stock returns

description: The first sheet "all companies'" includes financial data about IPO companies and their competitors. This data was used for explanatory variables in regression analysis. The rest of the sheets includes data on stock prices needed for running an event study.
DOI: 10.17632/8b7m97sp6p.1
title: LINF_270017900

description: JmjC domain demethylase | JMJ1
Leishmania infantum (strain JPCM5)
DOI: 10.17632/x4t63dfgm7.1
title: LINF_270018600

description: protein of unknown function - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/4mvk4nxrkz.1
title: EXPERIMENTAL INVESTIGATIONS ON HEAT TRANSFER OF CO2 UNDER SUPERCRITICAL PRESSURE IN HEATED HORIZONTAL PIPES - EXPERIMENTAL DATASET

description: This publication provides a dataset of 54 experiments, carried out with supercritical CO2 (sCO2) in two heated horizontal pipes with inner diameters of 4 and 8 mm at a pressure of approximately 7.75 MPa. The mass fluxes were set to 400 and 800 kg/m2s and the heat flux was varied from 30 to 130 kW/m2, resulting in a heat to mass flux ratio of 38 to 225 J/kg. The influences of the inner pipe diameter, the Reynolds number and the heat to mass flux ratio on the thermal stratification were studied. Temperature differences up to 90 K between the bottom and the top of the pipe have been detected. By varying the bulk fluid inlet temperature, the thermal inflow lengths have been quantified for a fully developed temperature stratification with up to 180 inner pipe diameters. The Petukhov and Richardson buoyancy criteria show that the experimental results are strongly influenced by buoyancy. For the Jackson buoyancy criterion, a new threshold of higher than 160 is proposed. The validation of four empirical Nusselt correlations shows that the Bishop correlation has the lowest total average deviation of 52 %, especially for the bottom site of both pipes with an average deviation of 29 %.
DOI: 10.17632/x7tdk9z2dj.1
title: Supplemental data Estienne

description: Supplemental data for Estienne et al 2022 : Chronic dietary exposure to a glyphosate-based herbicide results in reversible increase early embryo mortality in chicken
DOI: 10.17632/gt885gd2n9.1
title: LINF_270017800

description: protein of unknown function - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/wkyrf5prjc.1
title: The association of salivary serotonin with mood and cardio-autonomic function: a preliminary report

description: The dataset underlies the results reported in the paper entitled "The association of salivary serotonin with mood and cardio-autonomic function: a preliminary report" by Karbownik MS and Hicks SD published in "Frontiers in Psychiatry" 2022, doi: 10.3389/fpsyt.2022.788153.
DOI: 10.17632/f72v3c675s.1
title: LINF_270017700

description: intraflagellar transport protein 88 | IFT88
Leishmania infantum (strain JPCM5)
DOI: 10.17632/5vz3f798rd.1
title: LINF_270018500

description: translation initiation factor eIF2B delta subunit
Leishmania infantum (strain JPCM5)
DOI: 10.17632/62rhbb9p4t.1
title: Parallel adaptive weakly-compressible SPH for complex moving geometries

description: The use of adaptive spatial resolution to simulate flows of practical interest using Smoothed Particle Hydrodynamics (SPH) is of considerable importance. Recently, Muta and Ramachandran [1] have proposed an efficient adaptive SPH method which is capable of handling large changes in particle resolution. This allows the authors to simulate problems with much fewer particles than was possible earlier. The method was not demonstrated or tested with moving bodies or multiple bodies. In addition, the original method employed a large number of background particles to determine the spatial resolution of the fluid particles. In the present work we establish the formulation's effectiveness for simulating flow around stationary and moving geometries. We eliminate the need for the background particles in order to specify the geometry-based or solution-based adaptivity and we discuss the algorithms employed in detail. We consider a variety of benchmark problems, including the flow past two stationary cylinders, flow past different NACA airfoils at a range of Reynolds numbers, a moving square at various Reynolds numbers, and the flow past an oscillating cylinder. We also demonstrate different types of motions using single and multiple bodies. The source code is made available under an open source license, and our results are reproducible.
DOI: 10.17632/9fjyb5hyxt.1
title: Tree boosting for learning EFT parameters

description: We present a new tree boosting algorithm designed for the measurement of parameters in the context of effective field theory (EFT). To construct the algorithm, we interpret the optimized loss function of a traditional decision tree as the maximal Fisher information in Poisson counting experiments. We promote the interpretation to general EFT predictions and develop a suitable boosting method. The resulting “Boosted Information Tree” algorithm approximates the score, the derivative of the log-likelihood function with respect to the parameter. It thus provides a sufficient statistic in the vicinity of a reference point in parameter space where the estimator is trained. The training exploits per-event information of likelihood ratios for different theory parameter values available in the simulated EFT data sets.
DOI: 10.17632/gbv9s729s9.1
title: Upcgen: A Monte Carlo simulation program for dilepton pair production in ultra-peripheral collisions of heavy ions

description: Ultra-peripheral collisions (UPCs) of heavy ions can be used as a clean environment to study two-photon induced interactions such as dilepton pair photoproduction. Recently, precise data on lepton pair production in UPCs were obtained by the ATLAS experiment at the LHC where significant deviations, of up to 20%, from available theoretical predictions were observed. In this work, we present a Monte Carlo event generator, Upcgen, that implements a refined treatment of the photon flux allowing us to improve the agreement with ATLAS data at large dilepton rapidities. Besides, the new generator offers a possibility to study photon polarization effects and set arbitrary values of the lepton anomalous magnetic moment that can be used in the future studies of tau g - 2 via ditau production measurements in UPCs.
DOI: 10.17632/26mcg4jwvd.1
title: DensityTool: A post-processing tool for space- and spin-resolved density of states from VASP

description: The knowledge of the local electronic structure of heterogeneous solid materials is crucial for understanding their electronic, magnetic, transport, optical, and other properties. VASP, one of the mostly used packages for density-functional calculations, provides local electronic structure either by projecting the electronic wave functions on atomic spheres, or as a band-decomposed partial charge density. Here, we present a simple tool which takes the partial charge density and the energy eigenvalues calculated by VASP as input and constructs local charge and spin densities. The new data provides a much better spatial understanding than the projection on the atomic spheres. It can be visualized directly in the real space e.g. with Vesta, or averaged along planes spanned by two of the lattice vectors of the periodic unit cell. The plane-averaged local (spin) density of states can be easily plotted e.g. as color-coded data using almost any plotting program. DensityTool can be applied to visualize and understand the local electronic structure of any system calculated with VASP. We expect it to be useful especially for researchers concerned with inhomogeneous systems, such as interfaces, defects, surfaces, adsorbed molecules, or hybrid inorganic-organic composites.
DOI: 10.17632/dcg96tc6y4.1
title: rajat

description: Data is related to implementation of additive manufacturing
DOI: 10.17632/9d8b79hsmv.1
title: Data code

description: Data file
DOI: 10.17632/ggfjvcm766.1
title: LINF_270018900

description: Serine-threonine kinase receptor-associated protein
Leishmania infantum (strain JPCM5)
DOI: 10.17632/25r9ccd7z2.1
title: VNet-T2 algorithm dataset

description: This repository contains the scripts used to develop the VNet-T2 and the ASM model for prostate segmentation in MRI images:
- Salvi M., De Santi B., Pop B., Bosco M., V. Giannini, D. Regge, Molinari F., and Meiburger K. M. , "Integration of deep learning and active shape models for more accurate prostate segmentation in 3D MR images", Journal of Imaging 2022 (DOI: 10.3390/jimaging8050133)

Abstract: Magnetic resonance imaging (MRI) has a growing role in the clinical workup of prostate cancer. However, manual three-dimensional (3D) segmentation of the prostate is a laborious and time-consuming task. In this scenario, the use of automated algorithms for prostate segmentation allows us to bypass the huge workload of physicians. In this work, we propose a fully automated hybrid approach for prostate gland segmentation in MR images using an initial segmentation of prostate volumes using a custom-made 3D deep network (VNet-T2), followed by refinement using an Active Shape Model (ASM). While the deep network focuses on three-dimensional spatial coherence of the shape, the ASM relies on local image information and this joint effort allows for improved segmentation of the organ contours. Our method is developed and tested on a dataset composed of T2-weighted (T2w) MRI prostatic volumes of 60 male patients. In the test set, the proposed method shows excellent segmentation performance, achieving a mean dice score and Hausdorff distance of 0.851 and 7.55 mm, respectively. In the future, this algorithm could serve as an enabling technology for the development of computer-aided systems for prostate cancer characterization in MR imaging.
DOI: 10.17632/z6y555f3z4.1
title: LINF_270018800

description: histone H1
Leishmania infantum (strain JPCM5)
DOI: 10.17632/5p8jhswmg3.1
title: Academic and motivational data of patentees from brazillian public universities

description: The dataset presents academic information and behavioral and motivational aspects  of researchers affiliated to Brazilian public universities which data were colleted through online survey with a questionnaire and complemented from public  database professional and academic information. The sample included prolific patentees from brazilian public universities.
DOI: 10.17632/6t7298zrb2.1
title: BETi/HDACi treatment of CTCL cells induces significant alterations of transcripts regulating CTCL apoptosis

description: Based on our prior efficacy and toxicity studies, we selected 125nM birabresib (OTX015) (BETi) and 1nM romidepsin (HDACi) for all experiments in this report (Zhao et al., 2019). Gene expression was analyzed in triplicate on HH, Hut78, MyLa, SeAx and SZ4 CTCL lines at 0, 6, 48 and 96 hours post-treatment and normalized to housekeeping genes. Analysis was enriched for pro- and anti-apoptotic, oncogenic and tumor suppressor genes. 

Reference
Zhao L, Ohkovat J-P, Hong EK, Kim YH, Wood GS. Preclinical studies support combined inhibition of BET family proteins and histone deacetylases as epigenetic therapy for cutaneous T-cell lymphoma. Neoplasia 21: 82-92, 2019.
DOI: 10.17632/z3g7x9n4zh.1
title: Dataset

description: data
DOI: 10.17632/zbbmr8mtbb.1
title: Python code to run CRYSOL and generate EOM input files (SAXS analysis)

description: This python script is used to run ATSAS CRYSOL 2.x on a set of pdb models, then generate the files needed for EOM input (Size_listXXX.txt, RanchXXX.log, and junXXX.eom). The script also has the advantage of running CRYSOL using multiple processors and to allow use of the options available in stand-alone CRYSOL. When using EOM to simulate scattering curves of a given set of pdb models, the order of harmonics is limited to 50, compared to 99 when using stand-alone CRYSOL. For highly extended models, this script may prove particularly useful.
DOI: 10.17632/m45r7wkb9p.1
title: Behavior Research Method - OMEXP: validation data

description: In the article Streamlining Experiment Design in Cognitive Hearing Science using OpenSesame in Behavior Research Method, we introduce a set of features built on top of the opensource Opensesame platform to allow the rapid implementation of custom behavioural and cognitive hearing science tests. 
Our integration includes seven new plugins, available in Github (https://github.com/elus-om/BRM_OMEXP) and as a python package (https://pypi.org/project/opensesame-plugin-omexp/): 
- Audio Mixer and Calibration
- LSL start, LSL message and LSL stop 
- Adaptive init and Adaptive next. 
For clarity we refer to the OpenSesame platform enhanced with these plugins as the Oticon Medical Experiment Platform (OMEXP).

Audio Mixer and Calibration plugins allows to play infinite audio files (limited by the memory of the computer running OpenSesame) on an unlimited number of audio channels each set at a specific sound pressure level, with a specific timing. The LSL series of plugins allow the recording of synchronous input data streams from various devices, whereas the adaptive init and next plugins provides the implementation of an adaptive procedure. 

In the above-mentioned manuscript, we exemplify the capabilities of the new plugins using the three-alternative forced choice (3-AFC) amplitude modulation detection test (AMDT), available in this folder as 3afc_am_experiment.osexp. 3-AFC AMDT implementation is shown step-by-step in the journal article. 
This folder contains the validation data that have been recorded and used to provide the platform behaviour validation and the performance timing characterization of the new introduced plugins. The validation data include: (i) xdf files, containing the lab streaming layer (LSL) recording, windows audio (coming from a closed-loop set up) and marker streams, (ii) csv files, that contains the experiment data.
DOI: 10.17632/vvzd5tvd95.1
title:  Финансовая модель развития бизнеса компании Мedia

description: Тема магистерской диссертации—Прогнозный анализ и оценка экономической деятельности компании на основе ее финансовой отчетности.
Эти данные в основном показывают расчет прогнозируемых финансовых показателей на 2021-2025 годы.
DOI: 10.17632/w95n6rc6fs.1
title: Invalid and Valid Deductive Processes

description: This dataset is related with a study that compares the EEG-recorded neural activity from an invalid deductive process with a valid deductive process. This dataset includes the original (mat-converted raw files) from 19 healthy young controls.
DOI: 10.17632/nvbbg8f6x4.3
title: ANALYSIS OF STRESS TOLERANCE, COMPETITIVE-ANXIETY, HEART RATE VARIABILITY AND SALIVARY CORTISOL DURING SUCCESSIVE MATCHES IN MALE FUTSAL PLAYERS

description: The main objective of the study is to evaluate the psychophysiological responses of school-age futsal players during a competition. Anxiety (CSAI-2R) and daily stress (DALDA) questionnaires were used to assess the psychological state of the participants. In addition, heart rate variability and salivary cortisol were used to obtain physiological responses.
The hypothesis of the present study is an increase in cortisol levels and a reduction in heart rate variability, in case stress and anxiety levels are increased due to competition.
DOI: 10.17632/d3s9jchpfr.2
title: ZA_RE_Invest 

description: We investigated 82 renewable energy projects in the Renewable Energy Independent Power Producer Procurement Programme (REIPPPP) from 2011 to 2016. The coding criteria were developed along transnational capital, transnational social entrepreneurship and localized patterns. 

We analyzed the data in the following article: https://www.tandfonline.com/doi/full/10.1080/03056244.2021.1932790

Last updated in 2018.
DOI: 10.17632/x2w3xhksd4.1
title: Расчеты к магистерской диссертации Артем Малышев

description: Расчеты к магистерской диссертации
DOI: 10.17632/fp5zns9m4m.1
title: Emulsification data

description: This data consist of optimization parameters for lipid nanodispersion like Particle size, polydispersity index, zeta potential, entrapment efficiency, drug loading. The data also contains stability data at different physiological pH.
DOI: 10.17632/xy9r9mtwsf.1
title: LINF_270019700

description: zinc finger protein family member | ZC3H41
Leishmania infantum (strain JPCM5)
DOI: 10.17632/nj6sw7vc7d.1
title: GENeSYS-MOD India: Technology, demand, renewable data, and model results

description: This dataset contains renewable potentials, timeseries, technology data, and additional data tables for the current implementation of GENeSYS-MOD India.
DOI: 10.17632/5jty4jfr4s.1
title: LINF_270019400

description: protein of unknown function - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/r5rpn7rhpc.1
title: LINF_270019000

description: T-complex protein 1 - beta subunit | CCT-beta
Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.6511888
title: Machine learning algorithm evaluation

description: This is the data management plan for the purpose of this report, to compare three different classifiers through supervised machine learning on two diverse datasets. The whole machine learning process was applied and conducted in different experiments. The exploration of the data sets as well as the preprocessing strategies are outlined in the following. Furthermore, the modelling processes and the performance measures on which their results are evaluated will be explained. Finally, different parameter adjustments and settings are compared and discussed which leads to a conclusion.
DOI: 10.5281/zenodo.6505011
title: Machine learning algorithm evaluation

description: This is the data management plan for the purpose of this report, to compare three different classifiers through supervised machine learning on two diverse datasets. The whole machine learning process was applied and conducted in different experiments. The exploration of the data sets as well as the preprocessing strategies are outlined in the following. Furthermore, the modelling processes and the performance measures on which their results are evaluated will be explained. Finally, different parameter adjustments and settings are compared and discussed which leads to a conclusion.
DOI: 10.17632/jb24kpxjgf.1
title: Breeding Biology Bubo Bubo

description: S-H data
DOI: 10.17632/hg9mnhph4n.1
title: Risk and Protective Factors of Emotional Exhaustion in Teachers

description: SPSS data of a research about the effect of the risk and protective factors of emotional exhaustion in teachers. The results of the cross-sectional study confirm that emotional dissonance mediated the relationships that established with emotional exhaustion the perception of attention to diversity (a) derived from special educational needs and (b) derived from cultural diversity. These mediations were moderated by social support, by confirming the interaction effect between social support and (a) the perception of attention to cultural diversity and (b) emotional dissonance.

The project and data collection were awarded by the competitive R&D Grant in Occupational Risk Prevention of the Prevent Foundation (Spain). The main researcher of the granted project is Esther Cuadrado. Correspondence: esther.cuadrado@uco.es
DOI: 10.17632/mz3n2gjjy3.1
title: Dupilumab Associated Head and Neck Dermatitis Resolves Temporarily with Itraconazole therapy, and Rapidly with Transition to Upadacitinib, with Malassezia-Specific IgE Levels Mirroring Clinical Response

description: Supplementary Material