cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/5j2rk44fb3
title: Multiclass Password Strength Classification (MPSC 2024) Dataset for password cracking detection and prevention

description: We present a novel cutting-edge, large-scale multiclass dataset to improve the security of password protected systems cognition of suspicious password cracking attempts. The proposed newly generated dataset contains up-to-date samples and features available to the public to help reduce the effect of upcoming cyberattacks with machine learning methods. Specifically, 700,000 samples with more than 100 features are collected, processed through several stages including hashing, tokenization (NLP techniques), an others, and organized into three password classes: weak, moderate, and strong. 

For detailed info, Please refer to and cite our articles:
Al-Haija, Q.A., Abu-Ghazaleh, R., Hafez, A., Mansour, S., Aljammal, Y. (2024). Password Security: Cracking Techniques and Countermeasures. Proceedings of Data Analytics and Management. ICDAM 2024. Lecture Notes in Networks and Systems, Springer, 2024. 

Al-Haija, Q.A., Abu-Ghazaleh, R., Hafez, A., Mansour, S., Aljammal, Y. (2024). PasswordProtectorPro: A Password Cracking Detection and Prevention Tool for Mission Critical Systems. 8th IET Smart Cities Symposium (SCS 2024), Hybrid Conference, Bahrain, 2024.
DOI: 10.17632/kvx6syk42x
title: Proyecto MASI - Electrical and Mechanical fabrication files

description: This data set contains the blueprints, board and schematic files corresponding to the design presented in: "Masi: A mechanical ventilator based on a manual resuscitator with telemedicine1capabilities for patients with ARDS during the COVID-19 crisis". In this article, we introduce a portable and low-cost ventilator that could be rapidly manufactured, to meet the increasing demand of ventilators worldwide produced by COVID-19 pandemic. These ventilators should be rapidly deployable and with functional capabilities to manage COVID-19 patients with severe acute respiratory distress syndrome (ARDS). Our implementation offers robustness, safety and functionality absent in existing solutions to the ventilator shortage (i.e., telemonitoring, easy-to-disinfect, modularity) by maintaining simplicity. The design makes use of a manual resuscitator as the core respiration component activated by a compression mechanism which consist of two electronically controlled paddles. The quality measurements obtained after testing on a calibrated artificial lung demonstrate repeatability and accuracy exceeding human capabilities of manual ventilation. The complete design files are provided in the supplementary materials to facilitate ventilator production even in resource-limited settings. The implementation of this mechanical ventilator could eliminate device rationing or splitting to serve multiple patients on ICUs.
DOI: 10.6084/m9.figshare.22691458.v1
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.
DOI: 10.6084/m9.figshare.783889.v1
title: Data and scripts for Bayesian prediction of microbial oxygen requirement of selected bacteria from the NCBI genome database

description: Additional file 1: Text-format (.txt). One-step prediction results. The classification predictions for all included genomes when using the one-step method and N-fold cross-validation. Additional file 2: Text-format (.txt). Two-step prediction results. The classification predictions for all included genomes when using the two-step method and N-fold cross-validation. Additional file 3: Text-format (.txt). Domains distinguishing anaerobes from respiring bacteria. The Pfam-A domains found significantly more frequently in bacteria which are capable of respiration (aerobes/facultative anaerobes) than in anaerobes, and vice versa. Additional file 4 Text-format (.txt). Domains distinguishing aerobes and facultative anaerobes. The Pfam-A domains found significantly more frequently in anaerobe than facultative bacteria, and vice versa. Additional file 5: Text-format (.txt). Predictions of aerobes and anaerobes only. The predictions of all of the included genomes which are either aerobe or anaerobe, excluding the facultative anaerobes. Made only to allow for direct comparison to results in the literature. Additional file 6. Text-format (.txt). Protein domain presence/absence matrix. The presence/absence profiles with respect to Pfam-A domains of all included genomes. Additional file 7: Python-format (.py). Get likelihoods from Pfam-domains. A python script used to identify the Pfam-A domains over-represented in one class compared to the others based on the training set, and on that basis construct the likelihood files used for predictions. Additional file 8: Python-format (.py). Predictor. A python script used to predict the oxygen requirements classification of genomes in the test set, based on protein domain profile and the likelihood files created by Additional file 7. Additional file 9: Python-format (.py). Predictive evaluations. A python script used to evaluate the predictors performance by calculating a Matthew's Correlation Coefficient for each of the classifications in the predictions made by Additional file 8.
DOI: 10.17632/jpv32zc5n3
title: Comorbidities of prurigo: A systematic review and meta-analysis

description: Supplemental File for clinical review entitled "Comorbidities of prurigo: A systematic review and meta-analysis" in the Journal of the American Academy of Dermatology.
DOI: 10.6084/m9.figshare.22107971.v1
title: DATASET_Yu-RongLiu_20230216

description: The dataset is associated with Yu-Rong Liu et al., containing all the oringinal data showed in the figures of the main text and supporting matrials.
DOI: 10.17632/d9kyhgsx2m
title: S4. R programming codes

description: R programming syntax used to create graphics for spatiotemporal distribution of dengue cases and serotypes, seasonality, transmission potential (TP) and prediction modelling used in this review
DOI: 10.17632/wkxwggvfbx
title: Days-old zebrafish rapidly learn to recognize threatening agents through noradrenergic and forebrain circuits

description: Data and videos related to conditioned robot avoidance
DOI: 10.17632/xjfcy3mxdb
title: Freudenthal's inner multiplicity formula

description: Title of program: FREUD Catalogue Id: AAAA_v1_0 Nature of problem To compute the weight diagram of an irreducible representation rho of a complex simple Lie algebra. This problem is equivalent to computing the character of rho. Versions of this program held in the CPC repository in Mendeley Data AAAA_v1_0; FREUD; 10.1016/0010-4655(73)90019-2 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.6084/m9.figshare.19808407.v3
title: China's Gridded Manufacturing Dataset

description: The growth of the manufacturing industry is the engine of rapid economic growth in developing regions. Characterizing the geographical distribution of manufacturing firms is critically important for scientists and policymakers. However, data on the manufacturing industry used in previous studies either have a low spatial resolution (or fuzzy classification) or high-resolution information is lacking. Here, we propose a map point-of-interest classification method based on machine learning technology and build a dataset of the distribution of Chinese manufacturing firms called the Gridded Manufacturing Dataset. This dataset includes the number and type of manufacturing firms at a 0.01° latitude by 0.01° longitude scale. It includes all manufacturing firms (classified into seven categories) in China in 2015 (4.40 million) and 2019 (6.01 million). This dataset can be used to characterize temporal and spatial patterns in the distribution of manufacturing firms as well as reveal the mechanisms underlying the development of the manufacturing industry and changes in regional economic policies.
DOI: 10.17632/wv97sd28cw
title: Data for: End Tidal CO2 and Cerebral Oximetry for the Prediction of Return of Spontaneous Circulation During Cardiopulmonary Resuscitation

description: Cardiac arrest database with ETCO2 and NIRS
DOI: 10.6084/m9.figshare.14182445.v1
title: Data from: Insulin sensitivity across the menstrual cycle

description: Title: Relationship between insulin sensitivity and menstrual cycle phase is modified by BMI, fitness and physical activity: results from NHANES.Data csv file.
DOI: 10.6084/m9.figshare.23708862.v1
title: Data for: A novel method for measuring acute thermal tolerance in fish embryos

description: All data and code for the following publication: Cowan, Andreassen, et al. (2023) A novel method for measuring acute thermal tolerance in fish embryos. Conservation Physiology. <br> Please see the corresponding research publication for methodological details.
DOI: 10.17632/6mwgj7tms3
title: weaving_data

description: The raw data is collected from a weaving industry of Bangladesh and then preprocessed to get final dataset. The prepared dataset can be used in machine learning, data science and statistical analysis. Here, the dependents variables may be the rejection or production depending on the intend of use.
DOI: 10.17632/m66g23mj5s
title: RETHINKING OF MASCULINITIES: AN EVOLVING PERSPECTIVE

description: Abstract: The focus of this research is on the evolution of male identity and cultural conceptions of masculinity. Traditional notions of masculinity have often been overly narrow, contributing to the maintenance of harmful stereotypes and assumptions. But a more inclusive, diverse, and caring perspective on gender is leading to a rethinking of what it means to be masculine. This essay investigates the complexities of masculinity, the pernicious impacts of rigid gender norms, and the ways in which our culture may be altered to promote healthier, more authentic expressions of gender. The intricate web of gender identities, violent experiences, and emotional restraint This new perspective furthers gender equality, the acceptance of many identities, and the removal of harmful stereotypes that hold men and society back from reaching their full potential. By analysing the rethinking of masculinity in this context, this article hopes to encourage a more nuanced and empathic perspective of masculinity. We can help men reach their full potential as people and as contributors to society if we challenge and expand our ideas of masculinity. This process of reassessing masculinities is also open to female participation. This movement is representative of a broader cultural trend that challenges traditional notions of masculinity and the worldviews of its members. By working to eradicate gender norms and adopting a more open perspective on gender, we can create a more equitable society that values and celebrates a wide range of masculinities while eliminating harmful power dynamics.
DOI: 10.6084/m9.figshare.16895593.v1
title: April 2021 Covid-19 Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in April, 2021 from Twitter's COVID-19 Streaming Endpoint via a custom script developed by the Social Media Lab (https://socialmedialab.ca/). Visit our interactive dashboard at https://stream.covid19misinfo.org/ for a preview and some general stats about this COVID-19 Twitter streaming dataset. For more info about Twitter's COVID-19 Streaming Endpoint, visit https://developer.twitter.com/en/docs/labs/covid19-stream/overview * Note: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.20419161.v1
title: Sandfoss et al. 2022_JEB cottonmouth dehydration corticosterone

description: Complete dataset for the publication appearing in the Journal of Experimental Biology.
DOI: 10.6084/m9.figshare.28930181.v2
title: <b><i>Camellia Oleifera</i></b><b> Trees</b>

description: <b><i>Camellia Oleifera</i></b> point cloud data collected using TLS
DOI: 10.6084/m9.figshare.12521573.v1
title: Raw Data Borowiec et al., 2020 JEB doi:10.1242/jeb.222877

description: Raw data for Borowiec, B.G. and Scott, G.R. (2020). Hypoxia acclimation alters reactive oxygen species homeostasisand oxidative status in estuarine killifish (Fundulus heteroclitus). J. Exp. Biol. 223, jeb222877. doi:10.1242/jeb.222877.<br>Contact B.G.B. if downloading.
DOI: 10.6084/m9.figshare.24183246.v1
title: MCMC samples

description: Results from MCMC chains generated with scripts from this repo.<br>Please note that this a zip-compressed files.<br>Disk usage for the different files after unpacking:<br>- main_results: 2.9GB<br>- sensitivity_analysis: 23GB<br>- simulation_study: 68GB<br>- simulation_diffusion: 69GB<br>________________Therefore, ~165GB disk space will be allocated<br><br>
DOI: 10.6084/m9.figshare.25027079.v1
title: Data

description: The data files contains price/return values of various assets.
DOI: 10.17632/3kfmsz4n28
title: Design and implementation of a low cost bio-printer modification, allowing for switching between plastic and gel extrusion

description: Abstract: Due to the high cost of bioprinters they are not feasible for proof of concept experiments or educational purposes. Furthermore, the more affordable DIY methods all disable the plastic printing capability of the original printer. Here we present an affordable bio-printing modification that is easy to install and maintains the original capabilities of the printer. The modification used mostly 3D printed parts and is based on the popular, open-source Prusa i3 3D printer. The modifications are kept as simple as possible and uses standard slicing software, allowing for installation by less experienced builders. By using disposable syringes and easily sterilizable parts, an aseptic bioprinting setup can be achieved, depending on the environment. It also allows for 2 component printing as well as UV curing.
DOI: 10.17632/8zb3trjjgk
title: Experimental condensate mass flux values during the condensation of water vapor from humid air inside vertical channels formed by flat plates

description: This dataset represents experimental condensate mass flux values, obtainaned during experimental measurements of condensation of water vapor from humid air inside vertical channels formed by flat plates.
Tables 1-3 show experimental condensation mass flux values, obtained at different operating conditions: temperature of humid air bulk flow, temperature difference between humid air bulk flow and main walls, and volume flow of humid air for three heights of vertical flat plates: 74 mm, 50 mm and 30 mm.
Table 4 shows a dataset of 9 temperature measurements of the test section’s side wall on 16 locations with the height of vertical plates 50 mm.
For more information about the experimental setup and the entire study related to condensation of water vapor from humid air inside vertical channels formed by flat plates, the readers are encouraged to check the published scientific article with the following DOI: https://doi.org/10.1016/j.isci.2021.103565.
DOI: 10.17632/d5sd9zx74d
title: obesità 2025

description: This dataset was collected as part of a cross-sectional study conducted between January 2024 and March 2025 in a tertiary obesity treatment center in Rome, Italy. The primary research hypothesis was that individuals with obesity could be stratified into distinct behavioral profiles, and that these profiles would vary across BMI categories.
DOI: 10.17632/gw42s6r6z7
title: Vico_etal_2024_DataSet_Exps1-2a&b

description: This is the dataset analyzed in Experiments 1, 2a and 2b
DOI: 10.17632/mbmd6fstjh
title: Data for: Dispositional Mindfulness Predicts Cortisol, Cardiovascular, and Psychological Stress Responses in Adolescence
DOI: 10.17632/nzwvnrmwp3
title: Human Faces and Objects Mix Image Dataset

description: Dataset Description: Human Faces and Objects Dataset (HFO-5000)
The Human Faces and Objects Dataset (HFO-5000) is a curated collection of 5,000 images, categorized into three distinct classes: male faces (1,500), female faces (1,500), and objects (2,000). This dataset is designed for machine learning and computer vision applications, including image classification, face detection, and object recognition. The dataset provides high-quality, labeled images with a structured CSV file for seamless integration into deep learning pipelines.


Column Description:
The dataset is accompanied by a CSV file that contains essential metadata for each image. The CSV file includes the following columns:
file_name: The name of the image file (e.g., image_001.jpg).
label: The category of the image, with three possible values:
"male" (for male face images)
"female" (for female face images)
"object" (for images of various objects)
file_path: The full or relative path to the image file within the dataset directory.


Uniqueness and Key Features:
1) Balanced Distribution: The dataset maintains an even distribution of human faces (male and female) to minimize bias in classification tasks.
2) Diverse Object Selection: The object category consists of a wide variety of items, ensuring robustness in distinguishing between human and non-human entities.
3) High-Quality Images: The dataset consists of clear and well-defined images, suitable for both training and testing AI models.
4) Structured Annotations: The CSV file simplifies dataset management and integration into machine learning workflows.
5) Potential Use Cases: This dataset can be used for tasks such as gender classification, facial recognition benchmarking, human-object differentiation, and transfer learning applications.


Conclusion:
The HFO-5000 dataset provides a well-structured, diverse, and high-quality set of labeled images that can be used for various computer vision tasks. Its balanced distribution of human faces and objects ensures fairness in training AI models, making it a valuable resource for researchers and developers. By offering structured metadata and a wide range of images, this dataset facilitates advancements in deep learning applications related to facial recognition and object classification.
DOI: 10.17632/s7brrc9b63
title: FDI and Innovation in Developing countries

description: The data aims to reproduce results in a manuscript. 
The data is compiled from 66 developing countries with variables, i.e., FDI, Innovation Index, Trade, Inflation...
DOI: 10.6084/m9.figshare.10078712.v1
title: Supplementary Material for: Association between Nonalcoholic Fatty Liver and Gensini Score in Patients with Coronary Heart Disease: A Cross-Sectional Study

description: <b><i>Introduction:</i></b> Obesity is one of the important risk factors of coronary heart disease (CHD). Nonalcoholic fatty liver disease (NAFLD) is always accompanied by obesity. Therefore, this study was designed to elucidate the relationship between NAFLD and CHD in obese and nonobese populations. <b><i>Methods:</i></b> We conducted a cross-sectional study of 454 Chinese patients diagnosed with CHD. Patients were grouped into non-NAFLD + nonobese, non-NAFLD + obese, NAFLD + nonobese, and NAFLD + obese based on the presence or absence of both NAFLD and obesity. <b><i>Results:</i></b> The mean Gensini score was significantly higher in patients with fatty liver compared to those without. Logistic regression analysis found that fatty liver, uric acid, and blood glucose levels were risk factors for a high Gensini score. <b><i>Conclusions:</i></b> Irrespective of the presence of obesity, NAFLD is a risk factor for CHD, and the clinical effect of nonobese fatty liver (especially in women) should be carefully considered.
DOI: 10.6084/m9.figshare.6892844.v1
title: Analysing visits to English museums 1850–2015: a research note

description: Understanding why people visit museums is of interest to both cultural economics and museum studies. Most existing research relies on survey data concerned with visitors, their immediate background, and their experience of a particular museum. Very few studies have taken a more general perspective and analysed macro-level societal factors, such as inflation, educational attainment and unemployment, and their influence on the number of visits to museums. The conventional approach relies on visitor surveys to understand what drives visits and people’s general views on museums. In a departure from these conventional approaches, this article presents a macro-level approach, using a unique dataset of visit counts for 40 English museums and visitor attractions spanning the period 1850–2015. It examines the effect of socio-economic factors on visits using panel data analysis and macro-level variables. The results suggest that inflation rates, average earnings, and educational level (using the indicator of secondary school attendance) all significantly influence the number of visits made. However, the most important variable is the number of visits recorded for the previous year. These findings are discussed in relation to existing studies, and some suggestions for future research are proposed.
DOI: 10.6084/m9.figshare.7678172.v1
title: Correction of harmonic distortions in electrical systems through destructive interference

description: Abstract In this paper, we will present a didactic and alternative method for correction of harmonic distortions in a.c. electric systems. First, the harmonic distortions problem and quantification through the Fourier series will be presented. Then, experimental methods for the correction of distortions will be presented in didactic way aiming to associate basic concepts of physics and mathematical tools to quantify the problem. To measure the harmonic distortion rates, before and after the correction, the FFT (Fast Fourier Transform) spectrum was used, demonstrating its application. The results will demonstrate that experimental activities had as main highlight the reduction of TDH (Harmonic Distortion Rate) from 71% to 11% using only destructive interference.
DOI: 10.17632/gg58kc7zy7
title: Data for: Extractive Summarization of Clinical Trial Descriptions

description: This archive contains the summarization corpus generated as a result of the filtering stages (trials-final.csv), the rouge scores for the generated summaries (rouge-results-parsed.csv), the data and results of the human evaluation (evaluation/ subfolder), the code used to generate the corpus (extract.r, filter.r, and determine_similarity_threshold.r). The summaries were generated using the summarize_all.py script.