cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/vzbrzvyrn4.1
title: The TDHF code Sky3D version 1.1

description: The nuclear mean-field model based on Skyrme forces or related density functionals has found widespread application to the description of nuclear ground states, collective vibrational excitations, and heavy-ion collisions. The code Sky3D solves the static or dynamic equations on a three-dimensional Cartesian mesh with isolated or periodic boundary conditions and no further symmetry assumptions. Pairing can be included in the BCS approximation for the static case. The code is implemented with a view to allow easy modifications for including additional physics or special analysis of the results. The previous version of this program (AESW_v1_0) may be found at http://dx.doi.org/10.1016/j.cpc.2014.04.008.
DOI: 10.17632/hzsnc3jgds.1
title: lifex-cfd: An open-source computational fluid dynamics solver for cardiovascular applications

description: Computational fluid dynamics (CFD) is an important tool for the simulation of the cardiovascular function and dysfunction. Due to the complexity of the anatomy, the transitional regime of blood flow in the heart, and the strong mutual influence between the flow and the physical processes involved in the heart function, the development of accurate and efficient CFD solvers for cardiovascular flows is still a challenging task. In this paper we present lifex-cfd, an open-source CFD solver for cardiovascular simulations based on the lifex finite element library, written in modern C++ and exploiting distributed memory parallelism. We model blood flow in both physiological and pathological conditions via the incompressible Navier-Stokes equations, accounting for moving cardiac valves, moving domains, and transition-to-turbulence regimes. In this paper, we provide an overview of the underlying mathematical formulation, numerical discretization, implementation details and examples on how to use lifex-cfd. We verify the code through rigorous convergence analyses, and we show its almost ideal parallel speedup. We demonstrate the accuracy and reliability of the numerical methods implemented through a series of idealized and patient-specific vascular and cardiac simulations, in different physiological flow regimes. The lifex-cfd source code is available under the LGPLv3 license, to ensure its accessibility and transparency to the scientific community, and to facilitate collaboration and further developments.
DOI: 10.17632/54yx9m6gv8.1
title: Natural colonization as a means to upscale restoration of subarctic woodlands in Iceland

description: Data on birch colonization was collected from 10 different areas dominated by mountain birch across Iceland. In each area, four 100 m long and 2 m wide belt transects, were laid out at least 100 m apart perpendicular to the woodland edge into the adjacent open landscape. Along each transect, all birch seedlings with mature leaves were registered and their size measured as the length of the longest shoot from the stem base at the soil surface. The birch seedlings were divided into three size classes: I: &lt;2 cm, II: 2- 20 cm and III: &gt;20 cm, thus including both seedlings and older saplings. All catkin-bearing trees within 5 meters of the transects were also registered.

The microsite occupied by each seedling in size class I was recorded using 15 different types. The microsite cover along the transects was measured using the point-intercept method (Floyd & Anderson 1987), in 50 x 50 cm quadrats at 10 m intervals along the transects. We recorded microsites at 25 regularly spaced points within the quadrats. To account for rare microsite types, which were not recorded by the 25 points, all additional microsite types present within each quadrat were recorded.

Seedling densities were related to local climate data and ecological variables, including: annual precipitation, mean wind speed and dominant wind direction from September–December (the main period for birch seed dispersal), mean growing season (May – August) temperature, elevation, soil type, dominant height of the woodland canopy and total woodland area, and presence of domestic sheep.
DOI: 10.17632/8r8d6pnpbg.1
title: Journal of Methodology of Social Sciences and Humanities; No. 101

description: Study of the relationship between philosophy, philosophy of social sciences and humanities, methodology and research method; 
 The role of philosophy and methodology of social sciences and humanities in the quantitative and qualitative improvement of the social sciences and humanities;
 Comparative study of philosophy and methodology of social sciences and humanities and natural sciences;
 Study of the evolution of philosophy and methodology of social sciences and humanities;
 Comparative examination of quantitative and qualitative research methods;
 Philosophical analysis of concepts used in the social sciences and humanities;
 The study of the philosophical and theological foundations of the production of religious and indigenous social sciences and humanities;
 Methodology of the production of religious and indigenous social sciences and humanities;
 Methodology of using religious texts in social sciences and humanities and social sciences;
 Methodology of Muslim scholars in social studies;
 The deficiencies of the social sciences and humanities in the field of goals, foundations, methods and achievements;
 Philosophical and methodological assessment of studies in the field of humanities and social sciences;
 Philosophical and methodological assessment of studies in the field of Islamic humanities and social sciences;
 Philosophical and methodological assessment of macro policies of the country in the scientific, economic, political, social and cultural fields
DOI: 10.17632/6hvz627mf6.1
title: gamification_sciences

description: gamification_sciences
DOI: 10.17632/yyz69kysy3.5
title: A dataset on big five personality traits and user data on digital gaming social platforms

description: A dataset on big five personality traits and user data on digital gaming social platforms.

This data article collects a multivariate dataset on Big Five personality traits including extraversion (EXT), agreeableness (AGR), conscientiousness (CON), neuroticism (NEG), and openness (OPE) and user digital footprint of digital gaming social platform called Steam. For data collection, we constructed a questionnaire with two parts and 64 manifest variables. We offer data on eight features of user behavior, including platform level, number of badges, number of games, number of screenshots, number of evaluations, number of groups, number of friends, and “is the user banned”. We also provided screenshots of user Steam's personal homepage to study the relationship between color features, image features, and personality. Figure 1 shows an example of screenshots of the user personal homepage.
DOI: 10.17632/ff8h6fvj7b.1
title: Anuarios

description: Investigación política de hechos que marcaron Bolivia de 2008 a 2019
DOI: 10.17632/5hb8kw4j73.1
title: Data for: The "typical" tuya: A diverse story on the morphometry of glaciovolcanic edifices from Iceland

description: This table contain the geomorphometric data processed in "The "typical" tuya: A diverse story on the morphometry of glaciovolcanic edifices from Iceland"
DOI: 10.17632/mctzm7ysnn.1
title: Dataset of Appeal Cases heard at the Supreme Court of Nigeria

description: The dataset contains information about appeal cases heard at the Supreme Court of Nigeria (SCN) between the years 1962 to 2022. The dataset was extracted from case files that were provided by The Prison Law Pavillion; a data archiving firm in Nigeria. The dataset originally consisted of documentation of the various appeal cases alongside the outcome of the judgment of the SCN. Feature extraction techniques were used to generate a structured dataset containing information about a number of annotated features. Some of the features were stored as string values while some of the features were stored as numeric values. The dataset consists of information about 14 features including the outcome of the judgment. 13 features are the input variables among which 4 are stored as strings while the remaining 9 were stored as numeric values. Missing values among the numeric values were represented using the value -1. Unsupervised and Supervised machine learning algorithms can be applied to the dataset for the purpose of extracting important information required for gaining a better understanding about the relationship that exists among the features and with respect to predictng the target class which is the outcome of the SCN judgment.
DOI: 10.17632/k7srr5wwhv.1
title: Morphed Faces in Aadhar Cards: A Resource for Understanding Biometric Security Vulnerabilities

description: The Morphed Aadhar Card Images Dataset is a collection of 500 images generated for research purposes in the field of identity fraud detection, biometric security, and privacy protection. The dataset serves as a valuable resource for researchers studying the implications of image manipulation on identity verification systems and biometric security measures.
The images in this dataset were collected from roboflow.com, a platform. They were originally scanned Aadhar card images, resized from 640x640 to 300x300 pixels to standardize the dimensions. Subsequently, faces within the Aadhar card images were morphed using the Faceswapper.AI tool, ensuring that the identities of individuals in the images remain unidentifiable.
The primary purpose of this dataset is to facilitate research into the detection and prevention of identity fraud, particularly in the context of Aadhar card verification systems. It can also be used to explore the vulnerabilities of biometric security measures to facial manipulation techniques.
To protect the privacy of individuals, sensitive information such as Aadhar card numbers has been intentionally obscured in the images.
DOI: 10.17632/vcp7w8t2kg.1
title: OTT Market Segmentation and Consumer Profiling: A Cluster Approach to the Emerging OTT Consumerism

description: Abstract:
Purpose: As OTT platforms expand, stakeholders need to grasp OTT consumers' distinctively dynamic behaviors. The study addresses the following question: What key determinants affect consumer perception of OTT platforms, and how can the Indian audience be segmented? This study aims to analyze OTT customer segments, preferences, and viewing patterns.
Design: An online survey questionnaire was designed to obtain responses (343) from a convenience sample of OTT consumers in India. The research employed psychographic and demographic characteristics from OTT consumers. These characteristics were used for audience profiling.
Findings: The study reveals how value delivery, content quality, convenience, affordability, peer group influence, and personalization affect Indian consumer perception. It illustrates that the five OTT media consumer segments possess distinct perceptions and preferences. Clusters vary demographically and psychographically. 
Originality: Previous research analyzed the OTT market and consumer behaviors. This study adds to the existing literature by defining Indian customer clusters more precisely to better understand the heterogeneity of the growing OTT audience and provide focused insights that can fuel Indian business strategies. The novelty lies in knowing the emerging market’s audience and updating business strategies accordingly.
Implications: Understanding clusters by industry strategists, media academicians, and professionals helps develop targeted advertising campaigns and personalized content recommendations, enhancing user engagement. The study offers to update marketing, content curation, and client retention strategies by helping stakeholders comprehend the dynamic OTT consumer landscape and tailor products to cater to distinct consumer clusters.
Keywords: OTT platforms, consumer perception, customer segments, audience profiling, demographic and psychographic characteristics, Indian business strategies.
DOI: 10.17632/xzmrg6f4zb.1
title: Publications on the Peer-To-Peer Lending

description: All 484 publications on the topic of the Peer-To-Peer Lending on Scopus for bibliometric analysis!
DOI: 10.17632/23bdfd928f.1
title: Case Study Data

description: This is the experimental data for the case study in the paper: Manufacturing task allocation optimization integrated with shipping schemes for multi-variety and small-batch orders.
DOI: 10.17632/cfm4d9y7bh.1
title: NUIG_EyeGaze01(Labelled eye gaze dataset)

description: The NUIG_EyeGaze01(Labelled eye gaze dataset) is a rich and diverse gaze dataset, built using eye gaze data from experiments done under a wide range of operating conditions from three user platforms (desktop, laptop, tablet) . Gaze data is collected under one condition at a time. The dataset includes gaze (fixation) data collected under 17 different head poses, 4 user distances, 6 platform poses and 3 display screen size and resolutions. Each gaze data file is labelled with the operating condition under which it was collected and has the name format: USERNUMBER_CONDITION_PLATFORM.CSV CONDITION: RP- Roll plus in degree PP- Pitch plus in degree YP- Yaw plus in degree RM- Roll minus in degree PM-Pitch minus in degree YM- Yaw minus in degree 50, 60, 70, 80: User distances PLATFORM: desk- Desktop, lap- Laptop, tab- Tablet Desktop display: 22 inch, 1680 x1050 pixels Laptop display: 14 inch, 1366x 768 pixels Tablet display: 10.1 inch 1920 x 800, pixels Eye tracker accuracy: 0.5 degrees (for neutral head and tracker position) The dataset has 3 folders called “Desktop”, “Laptop”, “Tablet” containing gaze data from respective platforms. The Desktop folder has 2 sub-folders: user_distance and head_pose. These have data for different user distances and head poses (neutral, roll, pitch, yaw )measured with desktop setup. The Tablet folder has 2 sub-folders: user_distance and tablet_pose,. These have data for different user distances and tablet+tracker poses (neutral, roll, pitch, yaw) measured with tablet setup . The Laptop folder has one sub-folder called user_distance which has data for different user distances, measured with laptop setup. All data files are in CSV format. Each file contains the following data header fields: ("TIM REL","GTX", "GTY","XRAW", "YRAW","GT Xmm", "GT Ymm","Xmm", "Ymm","YAW GT", "YAW DATA","PITCH GT", "PITCH DATA","GAZE GT","GAZE ANG", "DIFF GZ", "AOI_IND","AOI_X","AOI_Y","MEAN_ERR","STD ERR") The meanings of the header fields are as follows: TIM REL: relative time stamp for each gaze data point (measured during data collection) "GTX", "GTY": Ground truth x, y positions in pixels "XRAW", "YRAW": Raw gaze data x, y coordinates in pixels "GT Xmm", "GT Ymm": Ground truth x, y positions in mm "Xmm", "Ymm": Gaze x, y positions in mm "YAW GT", "YAW DATA": Ground truth and estimated yaw angles "PITCH GT", "PITCH DATA": Ground truth and estimated pitch angles "GAZE GT","GAZE ANG": Ground truth and estimated gaze angles "DIFF GZ": Gaze angular accuracy "AOI_IND","AOI_X","AOI_Y": Index of the stimuli locations and their x, y coordinates "MEAN_ERR","STD ERR": Mean and standard deviation of error at the stimuli locations For more details on the purpose of this dataset and data collection method, please consult the paper by authors of this dataset : Anuradha Kar, Peter Corcoran: Performance Evaluation Strategies for Eye Gaze Estimation Systems with Quantitative Metrics and Visualizations. Sensors 18(9): 3151 (2018)
DOI: 10.17632/zg3tkbk434.1
title: Data for: "Laços que Criam Nós: como trabalhadores independentes coconstroem suas identidades no trabalho" published by RAC-Revista de Administração Contemporânea

description: Participants' reports obtained in the rounds of interviews
DOI: 10.17632/p55jbhyrd5
title: Data set for: How Bedding-parallel Fractures Affect Fluid Activity in a Relatively Closed Lacustrine Shale System: Evidence from Calcite Veins

description: The data are calcite veins LA-ICP-MS and electron micro probe analysis (EMPA) data.
DOI: 10.17632/9mxf9tshv6.1
title: Dataset on Distance Learning's Evaluation during the Cronavirus's Outbreak in Morocco

description: The Dataset concerns an empirical reseach about Distance Learning's Evaluation during the Cronavirus's Outbreak in Morocco. A questionnaire was completed by 286 trainers and students studying in the Moroccan Specialized Institutes of Applied Technology. They are from a wide variety of departments in the Vocational Training Department. An Exploratory Factor Analysis (EFA), using SPSS Statistics, was conducted to examine the reliability and the validity of the measurement model. The quantitative analysis was completed by semi-structured interviews.
DOI: 10.17632/f4fcrh4tn9.1
title: Data for: Short-term load forecasting by using a combined method of convolutional neural networks and fuzzy time series

description: This is hourly load data of the power supply company of the city of Johor in Malaysia generated in 2009 and 2010. This data has been used in the paper "Short-term load forecasting by using a combined method of convolutional neural networks and fuzzy time series", for Energy: The International Journal.
DOI: 10.17632/fcm92ky9vj.1
title: An Optimal Content-Based Video Recommending System Using Genetic Algorithm: A Case Study on MovieLens Dataset

description: This is an optimal movie recommender system using a Genetic Algorithm.
DOI: 10.17632/yynrtv2p7t.1
title: Important Researches in Different areas of science

description: Important Researches
DOI: 10.17632/5hjsgy67vn.1
title: The Influence of Experiential Learning On Self-Confidence, Communication, Human Relations And Leadership In The State Civil Apparatus In Indonesia

description: The challenge to show the quality of life in shaping character is getting higher, although the results of the last 21 years of research on the development of character quality are more researched on academic variables, but the last three years have focused more on the learning process and on the research method side is still oriented to correlational studies, so that the research objectives will construct the effect of experiential learning (MPE) for the development of character quality (Self Confidence, Communication, Human Relations and Leadership)
DOI: 10.17632/srpn5sg3ms.2
title: Robustness and Dynamic Sentiment

description: Replication package for Robustness and Dynamic Sentiment
DOI: 10.17632/b9db42k7pm.1
title: SABE Simulation

description: AAST Al-Alamein campus simulation using smart adaptive building envelopes
DOI: 10.17632/spwnt8t25y.1
title: Task-irrelevant affective prosody perception by typically developed children under attentional loads: electroencephalographic, behavioural data, and psychometric evaluation of autistic patterns in daily conducts. 

description: The relevance of affective information triggers attentional prioritisation, but when emotional stimuli act as distractors (task-irrelevant), attentional load dictates the balance between bottom-up processing and top-down executive control systems for attention allocation. In this dataset, electroencephalographic (EEG) signals related to implicit emotional speech perception under low, intermediate, and high attentional loads are provided. Demographic and behavioural data are also shared. Thirty-one typically developed children (mean age: 10-year-old, SD: 1, 20 girls) and their parents or legal guardians volunteered for data collection. As autistic traits may impair social-emotional reciprocity and verbal communication, assessments of autistic behaviours severity were conducted using the Autism Spectrum Rating Scales (ASRS, parent report). Sessions with children started with the completion of the Edinburgh Handedness Inventory followed by recording resting-state EEG activity for 2 minutes with eyes open. Those data are included in the dataset. Then, children answered three visual activities while listening to task-irrelevant affective prosodies (anger, disgust, fear, happiness, neutral and sadness). Particularly, low attentional load was induced by neutral image viewing; a one-target 4-disc Multiple Object Tracking (MOT) task triggered intermediate load; and high attentional load was conveyed by the one-target 8-disc MOT condition. Tracking capacity was computed from correct/incorrect answers during MOT tasks and are included in the dataset along with EEG data recorded during all three tasks. These data are relevant to investigate electrophysiological correlates of task-irrelevant affective speech integration under attentional load modulations and to assess their interaction with behavioural autistic patterns in a non-pathologic population. Besides, resting-state EEG data may be used to characterise inter-individual heterogeneity at rest and, in turn, associate it with attentional capacities during MOT and with autistic behavioural patterns. Finally, tracking capacity may be useful to explore dynamic and selective attentional mechanisms under emotional constraints. 

Keywords
Emotion; Electroencephalography; Selective Attention; Dynamic Attention; Auditory stimuli; Multiple-Object Tracking; Prosody; Speech
DOI: 10.17632/twv6x7jnck.1
title: Data for: A Zero Fading Sodium Ion Battery: High Compatibility Microspherical Patronite in Ether-based Electrolyte

description: VS4-Na raw data in origin files
DOI: 10.17632/z399w7xnjp.2
title: Persistent and Transitory Components of Firm Characteristics 1

description: Part One of Dataset for replicating Persistent and Transitory Components of Firm Characteristics 1
DOI: 10.17632/dnjt9cmj87.1
title: Young geological deformations in Hungary

description: The new 1:500 000 scale map of young geological deformations in Hungary completed in 2020 based upon detailed seismic interpretations and upon compilation of the results of many previous regional and local neotectonic studies.
DOI: 10.17632/7jhddnpz2p.1
title: Breast cancer risk factors in Cuban women

description: Dataset of breast cancer risk factors from a group of Cuban patients
DOI: 10.17632/cz9xbwprny.1
title: CRPK1 in Cold Stress Response

description: All raw images of CRPK1
DOI: 10.17632/8v6yvyj9xx.1
title: Third-Country Effects of Regional Trade Agreements: A Firm-Level Analysis

description: Replication files for "Third-Country Effects of Regional Trade Agreements: A Firm-Level Analysis" 
Woori Lee, Alen Mulabdic, Michele Ruta
DOI: 10.17632/dj9ppg9mt3.1
title: Decsi et al., 2024_DIB_article

description: Plant leaf samples were collected from untreated and foliar-treated maize stands with humic acid and amino acid solutions of various compositions, and raw RNA-seq data were obtained from these samples using the Illumina-NGS method.