cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/gnj7dg6767.1
title: Dataset for Assessment of the prosthetic retention of a frictional implant system with different mechanical testing methods

description: Different from screw implant systems, in which the fixation of the prosthetic abutment is verified during screwing using a torque ratchet, frictional implant systems do not present specific devices or methods to verify the fixation of the prosthetic component, which may cause component loosening when fixed incorrectly.
This study aims to assess a new method to verify the stability of the prosthetic connection between frictional implants and abutments with a torsion test, directly comparing it with a tensile test. It also analyzes the influence on the mechanical response, for both tests, to the number of activations applied to the prosthetic components.
An implant system with a frictional connection was selected for the study. The prosthetic abutments were attached to the implants and connected with an activation device of the system. The connection was performed at four different activation levels: 1, 3, 6, and 10 impacts caused by the device, forming four different assessment groups. For each group, half the samples were referred to tensile tests, and the other half was subjected to torsion assessments. The data obtained (avaliable on .xlsx and .bio files - BioEstat 5.3 software file) were subjected to one-way analysis of variance (one-way ANOVA), followed by Tukey's multiple comparison test (=0.05), to indicate which groups presented statistically significant differences. Lastly, Pearson's test was applied to assess whether there was a correlation between the values obtained in both mechanical tests.
Both mechanical assessment methods showed that increasing the number of prosthetic activations increases the retention between implants and abutments. However, the difference of increased retention tends to decrease with the number of activations. The tensile test results show that the difference of maximum force values obtained is significantly different only when highly differing from the number of impacts. The torsion assessment presented statistically significant differences also for groups that highly differed from the number of impacts, and there was a difference between 1 and 3 activations. When correlated, the methods statistically present a moderate and positive relationship, meaning they show a growing tendency of torque and force values as the number of activations on the component increases.
The study showed that the higher the number of activations performed on frictional abutments, the higher the retention of the implant connection. However, this retention tends to stabilize as the number of impacts increases. Both mechanical tests may assess the retention of frictional components, but the torsion test showed higher sensitivity. The torsion method is practical, simple, and closer to the dynamics of multidirectional movements of the forces applied to teeth.
DOI: 10.17632/vhvg2xdm98.1
title: ESG and Financial

description: this data consists of a comprehensive survey of 3,000 Chinese enterprises spanning 2006 to 2022 a
DOI: 10.17632/rc47y6m9mp.1
title: scRNA-seq data in ovarian cancer

description: Ovarian cancer (OC) is an aggressive gynecological tumour usually diagnosed at a late stage with widespread metastases and ascites. We depicted a single-cell landscape of OC ecosystem with five tumour-relevant sites: peripheral blood (PB), pelvic lymph node (PLN), primary tumour (Pri.OT), omentum metastasis (Met.Ome), and malignant ascites. Intercellular tissue dynamics of certain T cells, like GZMK+ effector memory T cell (Tem) and exhausted T cell (Tex), revealed potential roles of ascites as a pool for tumour-infiltrating T cells. Of the macrophages in tumours and ascites that exhibited distinct functional states, ascites-enriched macrophages were more of embryonic origin. For stromal cells in ascites, DES+ mesothelial cells account for the majority and help remodel its immune microenvironment. Further, we identified two endothelial subsets in primary tumours and one MAIT cluster in ascites predicting the responses to platinum-based chemotherapy of OC patients. Our study provides additional insights for ascites ecosystem and its connection with other tumour-relevant tissues, as well as potential markers for efficacy evaluation and therapies overcoming resistance in OC.
DOI: 10.17632/g4xg38mwcn.1
title: VoxHunt Expression Maps

description: 3D expression maps of the developing mouse brain of different ages derived from in situ hybridization experiments. This data was obtained from the Allen Brain Atlas and is a dependency of the VoxHunt R package.
DOI: 10.17632/dtbm7n6npz.1
title: soMLier Vivino Rating Data

description: This dataset consists of 278,765 ratings made by 92,514 users for 1,640 wines; all ratings (made in the interval [1, 5] in increments of 0.5) of these wines were scraped from Vivino.com during August 2021. This data can be used to develop and compare recommender systems that make use of collaborative filtering or matrix factorisation, for example. This data is already partitioned (at random) into training, validation and test sets in the proportions 70%, 20% and 10% respectively. Note that each user exists in the training set, but not all users are present in the validation or test sets.  
The data can be extracted in R using load('VivinoRatingData.RData'). This data consists of a training ratings matrix 'set.train' consisting of 92,514 user rows and 1,640 wine columns where the column names correspond to the Vivino wine ID. 'known.position' is a list of all the matrix indices which contain a known value - some of these values are NA as they have been hidden in the valid or test sets. Likewise, 'test.position' and 'valid.position' contain the matrix indices of the ratings hidden in the test and valid sets, respectively. 'set.test' and 'set.valid' contain the rating values hidden from the matrix 'set.train'.
For example, set.train[valid.position[1:3]] = {Na, Na, Na} are the first 3 validation ratings hidden in the training set - their corresponding rating values are set.valid[1:3] = {4, 3.5, 4}.
DOI: 10.17632/56xjk7v545.1
title: Impact of using free-body diagram in mechanics problems solving for improving engineering students’ performance in physics at a selected public university in Rwanda.

description: Mechanics is a discipline of physics that deals with the motion and forces that govern object movement. To apply fundamental principles successfully, engineering students must have a thorough understanding of mechanics. The free-body diagrams, which are visual representations of forces, assist students in identifying and analyzing forces. The current research looks into how Free-body Diagrams affect engineering students' performance in physics courses. However, many engineering students struggle to understand free-body diagrams, which might impede problem-solving. A sample of undergraduate engineering students from the University of Rwanda College of Science and Technology participated in the study. The students are separated into two groups: one for control and one for experimentation. The control group is given standard instruction, whereas the experimental group is given free-body diagram training. Before and after the intervention, both groups were evaluated on their ability to solve mechanics problems. A pre-test and a post-test are used to assess the student's performance. The results revealed that the experimental group improved much more than the control group in problem-solving performance. Furthermore, students in the experimental group expressed a more favorable attitude toward employing free-body diagrams in problem-solving activities. The research findings revealed that adding them into mechanics problem-solving education can be an effective strategy to improve engineering students' performance in physics problem-solving. The findings could also have a considerable impact on engineering education if they are implemented into the physics curriculum and teaching methods. They could potentially also be used to build instructional strategies and learning materials that foster free-body diagrams and improve students' mechanics problem-solving abilities.
DOI: 10.17632/x7s4v5kvxd.3
title: A dataset of voids’ characteristics in multidirectional carbon fiber/epoxy composite laminates, obtained using X-ray micro-computed tomography

description: In the current data article, we present detailed characteristics of voids in carbon/epoxy composite laminates as well as the original image stacks, obtained via X-ray micro-Computed Tomography (micro-CT) . Five different lay-ups are produced with altering the recommended cure cycle in order to intentionally induce voids in the material. For each lay-up, an image stack (consisting of tomographic slices) and a dataset are provided. The image slices are in 8-bit TIF format. The datasets (spreadsheets) include the volume, size parameters, shape parameters, orientation, and location of all the detected voids in the specimen. The segmentation of the images and quantification of voids are performed in VoxTex, an in-house software for processing of micro-CT results. The data is linked to a Data in Brief article "Mehdikhani et al., A dataset of voids’ characteristics in multidirectional carbon fiber/epoxy composite laminates, obtained using X-ray micro-computed tomography, DIB 27 (2019) 104686" and linked to the article "Mehdikhani et al. Detailed characterization of voids in multidirectional carbon fiber/epoxy composite laminates using X-ray micro-computed tomography. Comp Part A 125 (2019) 105532".
DOI: 10.17632/y8vr9b9sxj.1
title: Green Cities Dataset (1984-2020)

description: The Green Cities research & publication dataset, which was indexed by Scopus from 1984 to 2020. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/k3vw6mm7tn.1
title: SVRP - Bektas tranformation

description: Transformation of Bektas instances from GVRp to SVRP.
DOI: 10.17632/w86hvkrzc5.2
title: Road Surface Image Dataset with Detailed Annotations

description: The preview of the road surface states is essential for improving the safety and the ride comfort of autonomous vehicles. This dataset consists of 370151 (240 x 360 pixels) road surface images captured under a wide range of road and weather conditions in China. The original pictures are acquired with a vehicle-mounted camera and then the patches containing only the road surface area are cropped. The images are classified into 27 categories, containing both the friction level, material, and unevenness properties. This large-scale dataset is useful for developing vision-based road sensing modules to improve the performance of the driving assistance systems.
DOI: 10.17632/njxw52k5sm.1
title: Dataset for: Predicting individual long-term prognosis of spatial neglect based on acute stroke patient data

description: This dataset includes the online materials for the project on predicting long-term prognosis of spatial neglect (Röhrig, Wiesen, Li, & Karnath). 
Model performances and binary brain maps are provided.
For details, refer to the provided text-files.
The zip-folder can be extracted using freeware.
DOI: 10.17632/2rvzyk3rjd.3
title: Data for measuring digital citizenship competencies among students in Indonesia

description: The data was carried out among senior high school students in Central Java, Indonesia, assessing socio-demographic information, the lenght of internet use, budget of internet usage, digital devices, internet skills, internet attitudes, computer self-efficacy, and digital citizenship. 518 respondents from 6 schools through online survei via Google Form.
DOI: 10.17632/73kpfrbcck.2
title: Fruits and Vegetables

description: We have collected all the image of fruits and vegetables from the local market at Talegaon, Maharashtra. All the images were captured from the Nikon digital DSLR camera. We have taken over five months to generate the datasets of fruits and vegetables. The images have collected on different days and condition. We, likewise done some operation, for example, cropping and resizing of the collected images. The dataset of fruits and vegetables consists twenty different categories Apple, Bitter melon, Brinjal, chilli, Cabbage, Fig, Khira, Kundru, Kiwi, Onion, Orange, Pepper Green, Pepper Red, Pomegranate, Tomato Green, Tomato Red, Sapodilla, Sponge Gourd, Strawberry, Watermelon.
DOI: 10.17632/p3g9km7mh5.1
title: Replication Codes for "Climate Transition Risk and the Role of Bank Capital Requirements"
DOI: 10.17632/wf8568hxb7.1
title: Student grade prediction dataset

description: The dataset provides a collection of 160 instances belonging to two classes (`pass' = 136 and `fail' = 24). The data is an anonymised, statistically sound and reliable representation of the original data collected from students studying computer science modules at a UK University. Each instance is made up of 19 features plus the class label. Eight of the features represent students' online behaviour including bio information retrieved from Virtual Learning Environment. Eleven of the features represent students' neighbourhood influence retrieved from Office for Students database. The data has been compiled and made available in de-facto/de-jure standard open formats (CSV and JSON).

This data was collected and used in a research study undertaken by academics and researchers at Computer Science Department, Edge Hill University, United Kingdom. To encourage reproducibility of the experiments and results reported, the data is provided in the exact training-validation-testing splits used in the experiments.
DOI: 10.17632/t6cs4m68df.3
title: Replication Package for "High-frequency Trading in the Stock Market and the Costs of Option Market Making"

description: This zip file contains the replication package for "High-frequency Trading in the Stock Market and the Costs of Option Market Making" by Mahendrarajah Nimalendran, Khaladdin Rzayev, and Satchit Sagade.
DOI: 10.17632/pvgfkdnspf.1
title: MANAGING OPEN INNOVATION: THE ROLES OF STRATEGIC ORIENTATION AND DYNAMIC CAPABILITIES, EVIDENCE FROM ETHIOPIAN SMEs

description: The focus of this study was to assess empirically the effects of strategic orientation open innovation through dynamic capabilities of small and medium-sized enterprises (SMEs). A cross-sectional field survey quantitative approach was applied to collect primary data from the study area. Based on the empirical data of 321 SMEs operating in study area, the study was employed structural equation modeling (SEM) to analyze the data and research hypotheses in the proposed structural regression model. The SEM analysis found that open innovation is associated with small and medium enterprises' higher-level strategic orientation. Finally, the results indicated that dynamic capabilities mediated the path between strategic orientation and open innovation. Moreover, the study indicated that strategic orientation creates value through dynamic capabilities of the SMEs. Hence, the ability to sense, seize and transform the external ideas, knowledge and information along with the internal resources is vital to small and medium-sized enterprises success.
DOI: 10.17632/p5cj9bg597.1
title: Mapa dos clubes de futebol em atividade no estado de São Paulo, fundados no período de 1895 à 1914

description: O mapa apresenta os clubes de futebol do estado de São Paulo, fundados no período de 1895 a 1914. A projeção é parte do artigo intitulado, "A situação geográfica da primeira democracia racial no futebol brasileiro", publicado no Boletim Campineiro de Geografia.
DOI: 10.17632/fvtfjyvw7d.1
title: Big Data Set from RateMyProfessor.com for Professors' Teaching Evaluation

description: This dataset is shared by Dr. Jibo HE, founder of the USEE Eye Tracking Inc. and professor of Tsinghua University. This is the dataset from RateMyProfessor.com for professors' teaching evaluation. The dataset crawled and extracted from RMP has 18 variables. This part briefly describes each variable that needs to be analyzed.  Professor name: name of the professor who is rated  School name: university where the professor is currently teaching  Department name: currently working there  Local name: university’s locally known as  State name: state which the university is located in  Year since first review: the professor's teaching age, from the first student evaluation to the time when we did the analysis in year 2019.  Star rating: the star rating of the professor's overall quality, the point 3.5-5.0 is good, 2.5-3.4 is average and 1.0-2.4 is poor according to RMP’s official standard. This star rating is the average score given to professors by all student comments;  Take again: percentage of students who want to choose this course again;  Difficulty index: The difficulty level of a course. Point 1 is easiest, and point 5 is hardest. The difficulty index is the average score given to professors by all students;  Tags: the tag students chose to describe a professor;  Post date: the date when the student posted an evaluation of a course;  Student star: each student gives a star rating to a professor;  Student-rated difficulty: every student gives difficulty index to a professor;  Attendance: whether a course is mandatory or not;  For credit: whether students chose a course for credit (yes or no);  Would take again: whether students would like to choose a course again (yes or no)  Grade: student’s final score of a course, such as A+, A, A-, B+, B, B-, C+, C, C-, D+, D, D-, F, WD, INC, Not, Audit/No. “WD” is Drop/Withdrawal. “INC” means Incomplete. “Not” is Not sure yet, and “Audit/No” is Audit/No Grade.  Comment: comments that students gave for professors.
DOI: 10.17632/zmkc9db4zj.1
title: QMMM 2023: A program for combined quantum mechanical and molecular mechanical modeling and simulations

description: Combined quantum mechanical and molecular mechanical (QM/MM) methods play an important role in multiscale modeling and simulations. QMMM 2023 is a general-purpose program for single-point calculations, geometry optimizations, transition-state optimizations, and molecular dynamics (MD) at the QM/MM level. It calls a QM package and an MM package to perform the required single-level calculations and combines them into a QM/MM energy by a variety of schemes. QMMM 2023 supports GAMESS-US, Gaussian, and ORCA as QM packages and Tinker as the MM package. Four types of treatments are available for embedding the QM subsystem in the MM environment: mechanical embedding with gas-phase calculations of the QM region, electronic embedding that allows polarization of the QM region by the MM environment, polarizable embedding for mutual polarization of the QM and MM regions, and flexible embedding for both mutual polarization and partial charge transfer between the QM and MM regions. Boundaries between QM and MM regions that pass through covalent bonds can be treated by several methods, including the redistributed charge (RC) scheme, redistributed charge and dipole (RCD) scheme, balanced-RC scheme, balanced-RCD scheme, screened charge scheme that takes account of charge penetration effects, and smeared charge scheme that delocalizes the MM charges near the QM–MM boundary. Geometry optimization can be done using the optimizer implemented in QMMM 2023 or the Berny optimizer in Gaussian through external calls to Gaussian. Molecular dynamics simulations can be performed at the pure-MM level, pure-QM level, fixed-partitioning QM/MM level, and adaptive-partitioning QM/MM level. The adaptive-partitioning treatments permit on-the-fly relocation of the QM–MM boundary by dynamically reclassifying atoms or groups into the QM or MM subsystems.
DOI: 10.17632/rrs7ctswft.1
title: RGB and Multispectral images dataset ( Álamos, Sonora)

description: The extension of land that we sought to observe belongs to the area of influence of the Eddy Covariance System (around 7.5 ha), installed in a dry tropical forest in secondary ecological succession (27.00598005º N and -108.77913821º W) within El Area Natural Protegida Sierra de Alamos-Rio Cuchujaqui, Sonora, Mexico.
DOI: 10.17632/fxg4fbxzjr.1
title: Replication files for Burstein, Lein, and Vogel: Cross-border shopping: evidence and welfare implications for Switzerland

description: Replication files for "Cross-border Shopping: Evidence and Welfare Implications for Switzerland" by Ariel Burstein, Sarah Lein, and Jonathan Vogel.
DOI: 10.17632/gk9t7zs5hz.1
title: Small Business Cybersecurity 2020-2021 Checklist

description: Cyber attacks are a growing concern for small businesses during COVID-19 . Be Protected While You Work. Upgrade Your Small Business's Virus Protection Today! Before going for a Cyber security solutions for small to mid-sized businesses deliver enterprise-level protection. Download this (Checklist for a Small Firm's Cybersecurity Program 2020-2021) data set to deploy secure functioning of various aspects of your small business including, employee data, website and more.This checklist is provided to assist small member firms with limited resources to establish a cybersecurity program to identify and assess cybersecurity threats, protect assets from cyber intrusions, detect when their systems and assets have been compromised, plan for the response when a compromise occurs and implement a plan to recover lost, stolen or unavailable assets. Train employees in security principles. Protect information, computers, and networks from malware attacks. Provide firewall security for your Internet connection. Create a mobile device action plan. Make backup copies of important business data and information. Learn about the threats and how to protect your website. Protect Your Small Business site. Learn the basics for protecting your business web sites from cyber attacks at WP Hacked Help Blog Created With Inputs From Security Experts at WP Hacked Help - Pioneer In WordPress Malware Removal & Security
DOI: 10.17632/k7mxdhpp34.2
title: Data for Usability Evaluating of Interactive Systems based on the Judgment-Based Model 

description: Data is related to the paper "A Judgment-Based Model for Usability Evaluating of Interactive Systems Using Fuzzy Multi Factors Evaluation (MFE)" published by "Applied Soft Computing"[1]. Collected data purposed to integrate a fuzzy Multi Factors Evaluation (MFE) model based on experts’ judgments in HCI, ISPD, and AMLMs.