cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/bh4d7bbj9z.2
title: Dataset of transformational leadership

description: The attached dataset includes 221 samples covering the following variables, i.e., transformational leadership, knowledge-based work passion, and organizational citizenship behavior. 
Transformational leadership is measured with four dimensions and their interrelationships: 1. Core transformational leadership behavior (three items: CT1, CT2, CT3), 2. High-performance expectations (three items: HP1, HP2, HP3), 3. Supportive leader behavior (three items: SL1, SL2, SL3), 4. Intellectual stimulation (three items: IS1, IS2, IS3).
Knowledge-based work passion is associated with eight items: KK1, KK2, KK3, KK4, KK5, KK6, KK7, KK8.
Organizational citizenship behavior is associated with three dimensions: 1. OCB-Organization (four items: BO1, BO2, BO3, BO4), 2. OCB-Colleagues (four items: BC1, BC2, BC3, BC4), 3. OCB-Students (four items: BS1, BS2, BS3, BS4).
DOI: 10.17632/2xnn95rpb5.1
title: Structural Health Monitoring of A Cable-Stayed Bridge

description: A small set of dynamic features of a cable-stayed bridge in a short-term monitoring process is provided to utilize in research activities regarding structural health monitoring (SHM). This dataset contains 216 modal/natural frequencies of nine days of measurements. The modal frequencies (dynamic features) have been identified by an automated frequency domain decomposition (FDD) technique in four stable modes. The first 192 samples of the modal frequencies are related to the undamaged condition of the bridge (i.e., the first eight days of measurements) and the remaining 24 samples of the modal frequencies belong to the damaged state. 

This dataset is suitable for applying to SHM problems based on data-driven methods under the concept of machine learning/unsupervised learning/anomaly detection. The major challenges in this dataset, which can be incorporated into further research, can be categorized as technical and engineering issues. The former is concerned with the problem of generalization of machine learners and their overall performances under small data. The latter pertains to the problem of environmental and/or operational variability and their effects on the modal frequencies.

If you use this dataset, please cite the following article:

Daneshvar, M. H., and Sarmadi, H. (2022). "Unsupervised learning-based damage assessment of full-scale civil structures under long-term and short-term monitoring." Engineering Structures, 256, 114059. https://doi.org/10.1016/j.engstruct.2022.114059
DOI: 10.17632/bpmksrvjkt.1
title: Data for: Does FDI influence renewable energy consumption? An analysis of sectoral FDI impact on renewable and non-renewable industrial energy consumption

description: Abstract of associated article: This study examines the link between foreign direct investment (FDI) and energy demand. FDI is a source of financing that allows businesses to grow. At the same time, FDI can be a source of innovation that promotes energy efficiency. Existing evidence on the impact of aggregate FDI inflows on energy consumption is scarce and inconclusive. In the current study, we disaggregate FDI inflows into mining, manufacturing, total services, and financial services components and examine the impact of these FDI flows on renewable – and non-renewable industrial energy – sources for 74 countries for the period 1985–2012. We employ a Blundell–Bond dynamic panel estimator to control for endogeneity and omitted variable biases in our panels. The results point broadly to an energy consumption-reducing effect with respect to non-renewable sources of energy and an energy consumption-augmenting effects with respect to renewable energy. We find that these effects vary in magnitude and significance by sectoral FDI.
DOI: 10.17632/jp2h5fmy92.1
title: Hair removal through subcutaneous plane beyond the excision borders: A new way to prevent recurrences in hidradenitis suppurativa

description: Figure 2b(Supplementary) - At Postoperative Day 60: Healing with minimal scarring with reduced hair density far from primary closure site. No active lesions or recurrence.
DOI: 10.17632/rpgnmjn63w
title: Original imaging data for B. cereus Shedu manuscript

description: Raw data for the B. cereus Shedu manuscript, including negative staining electron microscope image of the protein complex, FP raw data, bacteria growth in the presence of phages or induced Shedu expression without phages, nuclease assays with agarose gel or urea-PAGE, SEC-MALS raw data.
DOI: 10.17632/w925jygjct.4
title: Data For: The Pickup and Delivery Problem with Transshipments

description: Data for "The pickup and delivery problem with transshipments: Critical review of two existing models and a new formulation." The PDP-T instances are generated randomly. The PDPTW-T instances are generated from Sampaio, Savelsbergh, Veelenturf, & Van Woensel (2020): https://data.mendeley.com/datasets/pywzcgyzrv/2.
DOI: 10.5281/zenodo.14246609
title: A Preliminary Investigation on the Usage of Quantum Approximate Optimization Algorithms for Test Case Selection - Online Appendix

description: QAOA-TCS - Quantum Regression Test Case Selection  This repository contains all the necessary resources to reproduce the results of the QAOA-TCS method.  

Dataset Files  The "datasets" folder contains:  - "sir_programs"  

SIR Programs  The "datasets/sir_programs" folder contains, for each SIR program considered by this project, all the files needed to gather statement coverage, execution costs, and past fault coverage information.  

For example, in the "flex" program folder:  - The file "fault-matrix.txt" contains rows representing flex's test cases. Each row has columns representing different versions of the program. Each cell (i,j) contains a binary value (0 or 1) indicating whether the i-th test case detects a fault in the j-th version. This configuration is called the fault matrix and provides historical fault coverage information.  - The folder "json_flex" contains a folder for each test case, with files like "flexi.gcov.json" to recover statement coverage and execution costs. These files detail which basic blocks were executed and how many times, enabling the calculation of total statement coverage and execution costs for each test case.  

Source Code Files  

DIVGA.m  The "MATLAB/DIVGA.m" file contains the pipeline for the DIVGA algorithm. For simplicity, the statement coverage, execution costs, and fault coverage data already gathered by "Notebook.ipynb" are written into text files, which DIVGA.m reads to bypass the actual datasets.  

DIVGA.m must be reconfigured for each target program. Update parameters like M, N, and gamultiobj routine settings. Ensure H_size in line 104 is less than max{N, M} + 1. Update the denominator in line 53 based on the total number of code lines in the target program. Adjust the result reporting target files as well.  

Notebook.ipynb  This file includes pipelines for dataset analysis, algorithm execution, and empirical comparisons.  

It has two main sections:  

1. QAOA-TCS vs SelectQA and Classical Algorithms     - Pipelines analyze SIR programs and compare QAOA-TCS, SelectQA, and classical algorithms. Manual configuration is needed when changing the target program, including updating file paths for Pareto fronts and configuring frontiers to build the reference.     - Statistical analysis requires populating the variables "algorithm_nondom_sirprogram" with the number of non-dominated solutions found during each of the 10 runs.  

Results Files  The "results" folder contains the outcomes of QAOA-TCS, DIV-GA, Additional Greedy, and SelectQA after experiment execution. These files enable empirical evaluations and comparisons between the methods.
DOI: 10.5281/zenodo.14246610
title: A Preliminary Investigation on the Usage of Quantum Approximate Optimization Algorithms for Test Case Selection - Online Appendix

description: QAOA-TCS - Quantum Regression Test Case Selection  This repository contains all the necessary resources to reproduce the results of the QAOA-TCS method.  

Dataset Files  The "datasets" folder contains:  - "sir_programs"  

SIR Programs  The "datasets/sir_programs" folder contains, for each SIR program considered by this project, all the files needed to gather statement coverage, execution costs, and past fault coverage information.  

For example, in the "flex" program folder:  - The file "fault-matrix.txt" contains rows representing flex's test cases. Each row has columns representing different versions of the program. Each cell (i,j) contains a binary value (0 or 1) indicating whether the i-th test case detects a fault in the j-th version. This configuration is called the fault matrix and provides historical fault coverage information.  - The folder "json_flex" contains a folder for each test case, with files like "flexi.gcov.json" to recover statement coverage and execution costs. These files detail which basic blocks were executed and how many times, enabling the calculation of total statement coverage and execution costs for each test case.  

Source Code Files  

DIVGA.m  The "MATLAB/DIVGA.m" file contains the pipeline for the DIVGA algorithm. For simplicity, the statement coverage, execution costs, and fault coverage data already gathered by "Notebook.ipynb" are written into text files, which DIVGA.m reads to bypass the actual datasets.  

DIVGA.m must be reconfigured for each target program. Update parameters like M, N, and gamultiobj routine settings. Ensure H_size in line 104 is less than max{N, M} + 1. Update the denominator in line 53 based on the total number of code lines in the target program. Adjust the result reporting target files as well.  

Notebook.ipynb  This file includes pipelines for dataset analysis, algorithm execution, and empirical comparisons.  

It has two main sections:  

1. QAOA-TCS vs SelectQA and Classical Algorithms     - Pipelines analyze SIR programs and compare QAOA-TCS, SelectQA, and classical algorithms. Manual configuration is needed when changing the target program, including updating file paths for Pareto fronts and configuring frontiers to build the reference.     - Statistical analysis requires populating the variables "algorithm_nondom_sirprogram" with the number of non-dominated solutions found during each of the 10 runs.  

Results Files  The "results" folder contains the outcomes of QAOA-TCS, DIV-GA, Additional Greedy, and SelectQA after experiment execution. These files enable empirical evaluations and comparisons between the methods.
DOI: 10.17632/c3kz294t7b.1
title: Blog posts and social media posters shared by Dalit Activists in Sindh, Pakistan. Volume-I

description: Blog posts and social media posters Ethnographic Study of Dalit Activism in Sindh (2016-17) Social Media Commentries 4 Ranshal Kolhi 50 Hussain Soofi Baghri (Sufi)Add or change other names 67 Dalit Sujjag Tehreek 71 Revolutionary Solidarity with the peoples struggle 71 Hindu Population (PK) 72 Population of Hindus in the World 72 Population of Hindus in the Pakistan 72 Region wise population of Hindus in Pakistan 73 Pakistan leading socio-political representative organization of the Hindu community 131 Sites relating to Pakistani Hindu Community 131 Introduction & Glory of Sanatana Dharama or (Hinduism) 138 Glory of Hinduism 140 Is Blasphemy Law in Pakistan giving Religious/Social persecution to Minorities ? 141 What could be the future of Pakistani Minority (Hindu Community)? 141 Which is the biggest Temple/Mandir in Karachi City, Pakistan ? 141 Introduction to Sacred-Texts : Hinduism 141 Blog Archive 149 Pakistan Hindu Post (PHP) 149 Parkari Community Development Programme UK ( PCDP UK ) 149 Charity Choice Directory Listings 154 ROYAL HERITAGE 154 Rana Chander Singh:- Hindu Rajput jagirdaar of Islamic Pakistan 154 Rumour triggers violence, sows fear in Jati 157 Sindh Assembly adopts bill against forced religious conversions 158 ٽائيٽل ؛ باگڙي (قبيلو) 159 سندھ میں اقلیتوں کی نمائندگی کا معاملہ 159
DOI: 10.17632/m467xb32fj.1
title: Supplementary Videos for Selective Pericyte Recruitment to EC-lined Tubes, Vessel Assembly Enhancement through Pericyte TIMP-3 Induction, and Pericyte TBX2 in Capillary Formation and Maturation

description: Supplementary Videos
DOI: 10.17632/yxf2yv5ymt.1
title: An annotated image dataset of downy mildew symptoms on Merlot grape variety

description: This is a dataset of high-resolution colour images of grapevines. It contains 99 images acquired in the vineyard from a cruising tractor. Each image include the full foliage of a grapevine plant. These images display a diverse range of symptoms caused by the grapevine downy mildew (Plasmopara viticola), a major fungal disease. The dataset also includes various confounding factors, i.e. anomalies which are not related to the disease. These anomalies are the natural and common phenomena affecting vineyards such as results of mechanical wounds, necroses, chemical burns or yellowing and discolorations due to nutritional or hydric deficiencies. Images were acquired in-situ on “Le Domaine de la Grande Ferrade” a public experimental facility of INRAE, in the area of Bordeaux. Acquisitions took place at early fruiting stages (BBCH 75-79) corresponding to the main sanitary pressure during growth. The acquisition device, embedded on a vine tractor, is composed of an industrial colour camera synchronised with powerful flashes. The purpose of this device is to produce a “day for night” effect that mitigates the variation of sunlight. It enables to homogenise images acquired during different weathers and time of the day and to ensure that the foreground (containing foliage) displays appropriate brightness, with minimum shadows while the background is darker. The images of the dataset were annotated manually by photo-interpretation with a careful review of expertise regarding phytopathology and physiological disorders. The annotation process consists in associating pixels with a class that defines its membership to a type of organ and its physiological state. Pixels from healthy, symptomatic or abnormal grapevine tissues were labelled into seven classes: “Limbus”, “Leaf edges”, “Berries”, “Stems”, “Foliar mildew”, “Berries mildew” and “Anomalies”. The annotation is achieved with the GIMP2 software as mask images where the value attributed to each pixel corresponds to one of the seven considered classes.
DOI: 10.17632/h5pcn99zw4.5
title: Electronic nose dataset for COPD detection from smokers and healthy people through exhaled breath analysis

description: This dataset is related to the research paper “Wireless electronic smell system for the detection of diseases through the exhaled breath” published in chemical engineering transactions journal (available online from October 1, 2018, https://doi.org/10.3303/cet1868066), and the data paper " Electronic nose dataset for COPD detection from smokers and healthy people through exhaled breath analysis " submitted to Data in Brief journal. For more details read the mentioned articles. The data were acquired with a sampling rate of 500 samples / second and a resolution of the ADC of 24 bits, obtaining measurements of exhaled breath with a length of 4000 data points per sensor through the matrix of 8 sensors or variables (SP-3, MQ-3, TGS 822, MQ-138, MQ-137, TGS 813, TGS-800, MQ-135). In each of the measurements of the In three groups analyzed, two measurements were taken per person with the purpose to obtain a correct measurement gathering and also correlate the exhaled breath measurements of the same person (repeatability). That is the reason why a total of 78 samples were obtained (40 from COPD, 20 from control, 8 from smokers, and 10 from the air. The database is organized in three files COPD, SMOKERS, CONTROL, and AIR in .txt format; which contain the measurements in voltage units and show the characteristic response of a MOS type sensor in the presence of a gas. Additionally, a text file is attached which comprises data such as gender, age, and COPD severity level (estimated) from each person and other relevant data.
DOI: 10.17632/mzynx7ncxk.1
title: Data for: Trust on the brink of Armageddon: The first-strike game

description: Abstract of associated article: We introduce the experimental first-strike game. Two players accumulate earnings over many rounds. In any round a player can deactivate the opponent. This means that the opponent loses all earnings and faces severely reduced future payoffs. It also means that the opponent can no longer deactivate the aggressor in later rounds. Thus deactivation is a hostile act, but can serve as a self-protection device. We run four treatments to disentangle the effect of spite, fear of spite, and trust. We find the absence of pure nastiness, but nevertheless a strong fear of it. Mutual trust can considerably reduce hostility.
DOI: 10.17632/ygwxwjrrb6.2
title: Combined Topical 5-Fluorouracil and Calcipotriene Effectively Treats Superficial Keratinocyte Carcinomas: A retrospective cohort study from two academic centers

description: Supplemental tables describing our data and the outcomes of superficial keratinocyte tumors treated with topical combined 5-fluorouracil and calcipotriene.
DOI: 10.17632/zyyb98msjc.1
title: AGRO-METEOROLOGICAL DATA OF INDIAN STATE TAMIL NADU

description: The data consist of Agro-meteorological factors influencing a crop growth for major crops of Indian state Tamilnadu. The data also host the various crops grown in 37 districts of the state in binary format.This data is a part of the data used for a crop recommendation system by forecasting various climatic factors.The data are stocked from various journals and government websites.citers can get information about the optimum range of agro-meteorlogical factors for individual crops. This dataset contains information about 107 crops, citers can develop it by adding crops and various other agro-meteorlogical factors.
DOI: 10.17632/x8kdbsfkfm.1
title: Supplementary Data on Scientometrics of Plastic Pollution

description: This dataset on the scientometrics of Plastic Pollution is presented. It shows supplementary data that includes author details, publication data, funding information, affiliations, keywords, word clouds and retrieved data from Web of Science (WoS) and SCOPUS databases. This dataset was used for the paper by applying Scientometric science, which is based on bibliometric analysis. The results were used for establishing research patterns, visualisation data and identifying developmental issues on marine hoses. The data on Plastic Pollution were also included, as the data were subjected to a scientometric study which looked at various parameters like publication years, authorship, and publication's country base to understudy the research pattern. See the full paper in: Amaechi, C.V. (2022). Sustainable control alternatives for Plastic Pollution with implications of COVID-19. Heliyon. 2022.
DOI: 10.17632/2xzwppwxrw.1
title: Double-Double Laminate Finder

description: The Double-Double Laminate Finder is a computer tool developed based on Classical Lamination Theory (CLT) to find Double-Double (DD) composite layups that are equivalent in in-plane stiffness [A] or flexural stiffness [D] to conventional quadriaxial (QUAD) layups. This tool can also be used to evaluate material homogenization conditions, determine the optimal DD stacking sequence for homogenization, and indicate the QUAD and DD layups in the in-plane and flexural design range plots.

The code is written in Python and runs on computers using the Windows operating system.
DOI: 10.17632/hwn7rzhyw9.1
title: Hong Kong Newspaper Readership

description: This study examines the extent to which variances in media exposure influence credibility judgment in an elaboration model focused on the mediating role of current events knowledge and information processing. Contextualized in Hong Kong, we construct a measurement scale ranging from non-users through skimpy scanners and further to avid readers. We separate media credibility perceptions into three categories: public interest, information quality, and cosmopolitan scope. We hypothesize that regular exposure to newspapers leads to high political knowledge and deeply engaged information processing, resulting, paradoxically, in mistrust of the press and low credibility judgment. Analyses of data from a random sample of 441 local Hong Kong residents reveal several interesting findings: 1) Media exposure is positively correlated with political knowledge; 2) High knowledge of local issues induces less cognitive processing; and 3) Knowledge as a surrogate for depth understanding and Information processing as an indicator of mental complexity are inversely related to credibility perceptions. Theoretical and social implications are discussed.
DOI: 10.17632/pysgjrmbnv.1
title: Very low-field (0.05T) MR repeatability data 

description: Very low-field MR has emerged as a promising alternative to high-field MRI scanners, offering several advantages. The major benefits are that very low-field scanner are portable and affordability and low maintenance. However, challenges remain in integrating very low-field MRI into clinical practice and ensuring their widespread adoption in both high and low-resource settings. Some of the limitations include lower signal-to-noise ratio (SNR), low spatial resolution, and long scan time. Also, these systems are susceptible to environmental factors such as temperature, humidity, electromagnetic interference (EMI) and magnetic field inhomogeneity, and gradient heating. The repeatability data was acquired on in vitro phantom (ProMRI, ProProject, USA) at 0.05T from MultiWave Technologies, France.

The data was collected over 10 days (folders D1 to D10) with each folder containing 3 subfolders for 3 sessions (S1 to S3). Each session had a 3D TSE folder and two off-resonance (ΔB0) maps (before and after 3D TSE). The B0 folder had two 3D TSE sequences with an echo shift of 49μs between them. The Findf0 folder had f0 measurements before and after each scan to evaluate the effect of frequency drift on the image. We have also included phantom data acquired using Siemens 3T Skyra scanner with a 20-channel head and neck coil.
DOI: 10.17632/48jjfc5ffc.2
title: Data on Productivity of Public Capital in Private Production

description: This data is used for an application in my paper: Sparse Estimation for High-dimensional Seemingly Unrelated Regression Models. For more details on the paper, visit: https://sites.google.com/view/f7orian/research
DOI: 10.17632/4k5hz72trj
title: Bits of Confidence: Metacognition as Uncertainty Reduction

description: The ability of humans to assess the correctness of their own decisions via confidence
judgments is a form of metacognition. This self-reflective act is essential for learning,
memory, consciousness, group decision, and many other aspects of cognition. Researchers
evaluate the quality of metacognition according to bias, sensitivity and efficiency. These
are often measured with such quantities as meta - d’, or M-ratio by inferring the potential
accuracy of the primary task from the secondary confidence rating performance. In the
present study, I offer a comprehensive account of confidence judgments and
metacognition, in terms of a communication system between stimuli, actor, rater, and
experimenter. Several information theory techniques are harnessed to uncover the
underlying components of information transmission between stimuli, actor and rater.
Within this framework, I advance three independent measures of metacognitive
sensitivity: meta − U, meta − KL, and meta − J . These are based on multivariate
uncertainty analysis, and applications of the Kullback-Leibler and Jeffrey’s divergences to
confidence-accuracy distributions. I then demonstrate the various desirable
characteristics of these information-theory measures, and provide considerable evidence
for their construct validity. In addition, I outline the structural and individual sources of
metacognitive inefficiency, according to an information-theory model of communication.
Keywords: Metacognition, Confidence, Information-theory, meta-d’, M-ratio, meta - I
DOI: 10.17632/zbxfw83xgb.1
title: Supplemental Table 1 - SNOMED Diagnostic Codes

description: This table details all SNOMED codes used in this study.