cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/ggh6g39ps2.3
title: CNN for Melanoma Detection Data

description: This dataset is from Kaggle:

https://www.kaggle.com/datasets/hasnainjaved/melanoma-skin-cancer-dataset-of-10000-images

The original article that published this dataset is described below.

M. H. Javid, W. Jadoon, H. Ali and M. D. Ali, "Design and Analysis of an Improved Deep Ensemble Learning Model for Melanoma Skin Cancer Classification," 2023 4th International Conference on Advancements in Computational Sciences (ICACS), Lahore, Pakistan, 2023, pp. 1-6, doi: 10.1109/ICACS55311.2023.10089716.

Abstract: Due to global warming and the ultraviolet rays of the sun, skin diseases are spreading rapidly. If skin diseases are not treated during early stages, they can be dangerous to human life. Melanoma is a deadly type of skin cancer. Dermatologists find it difficult to diagnose melanoma skin cancer because of its complex structure. Significant human lives could be saved if melanoma cancer was diagnosed quickly and accurately. Expert dermatologists diagnose melanoma by examining the lesion's color images. It is very difficult to diagnose melanoma manually, and there is a risk of human error. Therefore, computer vision-based methods that diagnose melanoma disease correctly are offered, and there is little room for error as compared to manual diagnostic methods. In this research, we took images from multiple publicly available ISIC (International Skin Imaging Collaboration) data sets and developed a balance data set that has 10,500 images for training and testing. An ensemble of four convolution neural network (CNN) architectures (ResNet50, EfficientNet B6, InceptionV3, Xception) were utilized and trained on this dataset for classification of melanoma skin cancer. The experimental results of the proposed model show that it correctly classifies melanoma skin cancer. The proposed model gives satisfactory results as compared to other state-of-the-art methods.
URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10089716&isnumber=10089626
DOI: 10.17632/ppmh5j6yfp.1
title: Electronic Cigarettes and Cutaneous Wound Healing: A Systematic Review, Mendeley Supplements

description: Mendeley Supplement 1- Search Strategies
Mendeley Supplement 2- PRISMA 2020 Flow Diagram
Mendeley Supplement 3- Summary of Case Reports
Mendeley Supplement 4- Summary of Animal Studies
Mendeley Supplement 5- Summary of Physiological Studies
DOI: 10.17632/w9xfz56txv.2
title: MILimbEEG: An EEG Signals Dataset based on Upper and Lower Limb Task During the Execution of Motor and Motorimagery Tasks

description: In this work, an experimental methodology for the acquisition of EEG signals from volunteer subjects was developed. The volunteers are colleagues and research fellows from ESPOL and patients of the Hospital Luis Vernaza for participating as test subjects.
DOI: 10.17632/ytpyx9w7dp.1
title: Fan loyalty and underperforming teams: The case of Atlas F.C.

description: Sports fandom is frequently dependent on the success of the team and the overall quality of the fan experience. This study sought to understand loyalty towards Atlas Football Club, a chronically underperforming team in Mexican soccer, whose only championship title was won in 1951. In spite of this, Atlas inspires tremendous fidelity in its fans, occupying fifth place in number of average spectators per local match in Mexico. The study hypothesizes that, rather than success measured in terms of winning, what motivates Atlas fans is team loyalty based on family, team tradition, and a shared sense of communitas with other fans. Data from 488 survey respondents were analyzed using exploratory factor analysis to find the underlying structure of the variables, and parallel analysis and confirmatory factor analysis to determine that five factors are at play. The most important of these were pride in the club’s tradition and history, and a sense of community with other fans. Responses are in Spanish
DOI: 10.17632/7gwn2ywwgc.1
title: Surface roughness impact on snow adhesion to glass surfaces

description: Snow adhesion may be significantly influenced by surface roughness. To investigate this, within the special interest regime of development of building integrated photovoltaics (BIPV), a range of surface roughnesses were introduced to glass samples. These were then tested for snow adhesion and the present dataset contains the raw data from these experiments.
DOI: 10.17632/fy3xg64s3z.1
title: CABBAGE

description: The dataset comprises over 500 images of cabbage (Brassica oleracea var. capitata) classified into two categories: "good" and "bad". These images were captured using a OnePlus Nord CE 2 Lite 5G mobile camera, under consistent daylight conditions against a black background. 

Each image represents either a "good" cabbage, characterized by desirable attributes such as freshness, uniformity, absence of blemishes, and overall quality, or a "bad" cabbage, exhibiting defects like rot, discoloration, pest damage, or irregular shape.

The dataset provides a comprehensive representation of the variations in cabbage quality, facilitating the training and evaluation of machine learning models for cabbage classification tasks. 

For each image, metadata may include details such as:
- Image resolution
- Image format (e.g., JPEG)
- Date and time of capture
- Lighting conditions
- Camera settings (e.g., aperture, exposure)
- Ground truth label (good/bad)

The images are labeled accordingly, enabling supervised learning algorithms to learn the distinguishing features between good and bad cabbage specimens. This dataset can be utilized across various applications, including agricultural automation, quality control in food processing industries, and computer vision research.
DOI: 10.17632/5hcdd3tdvb.6
title: Ball Bearing Vibration, and Temperature Run-to-Failure Dataset

description: This data includes vibration data according to the time from when the bearing is normal to when it is failed.

The bearing was rotated at a constant speed of 1770 RPM ~ 1780 RPM until bearing failure (operated for 5 minutes, and operated for 15 minutes with rest). The accelerated bearing life test was terminated when the bearing temperature exceeded 85 °C (Celsius) and the vibration value exceeded 9 m/s^2.

For the accelerated life test, an axial load of 300 kg (2.94 kN) and a vertical load of 600 kg (5.88 kN) were applied to the ball bearing.

Due to capacity issues, data were extracted and published at hourly intervals.


* Descriptions of the dataset
- Data files are organized in hourly intervals (129 CSV files in "Vibration_Bearing_RuntoFailure.zip").
- Each data file consists of 4 columns ("vibration (x-axis)", "vibration (y-axis)", "temperature (bearing)", "temperature (Atmospheric)").
- Vibration data are acquired at a sampling rate of 25.6 kHz, and the data length is 78.125 seconds (vibration sensor model: PCB 352C34).
- Temperature data are acquired at a sampling rate of 25.6 kHz, and the data length is 78.125 seconds (temperature sensor model: Thermocouple K-Type).

* Details about the experiment
Operating period: 2022.06.20 17:00 ~ 2022.06.26 01:00 (128 hours)
Rotating speed: 1770 RPM ~ 1780 RPM
Axial load of 300 kg: (2.94 kN) 
Vertical load of 600 kg: (5.88 kN)

* Ball Bearing specifications
Model: NSK 6205 Ball Bearing (steel-sealing)
Inside diameter: 25mm
Outside diameter: 52 mm
Width: 15 mm
Cage type: Steel
Maximum Rotational Speed: 13000 RPM
Basic dynamic load rating: 1509 kg (14.8 kN)
Basic static load rating: 795 kg (7.8 kN)

For more information, please check it via 'Data in Brief'.
site: https://www.sciencedirect.com/journal/data-in-brief
title: Vibration, and Temperature Run-to-Failure Dataset of Ball Bearing for Prognostics
DOI: 10.17632/dvfcf9mjzj.1
title: Diseño de proformas para análisis de indicadores financieros: Un caso Práctico para la enseñanza (Design of Templates for Financial Indicator Analysis: A Practical Case for Teaching)

description: Este documento en formato en excel, contiene un diseño de proformas para el análisis de indicadores financieros de una empresa. Mediante un caso práctico ha sido utilizado para cursos de valoración de estados financieros o valoración financiera, análisis financiero y similares en la Universidad Cooperativa de Colombia. Los autores comparten esta herramienta pedagógica aplicada, donde los alumnos pueden desarrollar el análisis financiero a partir de los estados financieros de una empresa real, calculando, interpretando y analizando los resultados de todos los indicadores entre los que encuentran: Indicadores de liquidez, endeudamiento, actividad, rentabilidad, punto de equilibrio, desempeño, productividad, y diagnóstico.

This Excel document contains a template for analyzing a company’s financial indicators. It has been used in practical cases for courses on financial statement valuation, financial analysis, and similar topics at the Universidad Cooperativa de Colombia. The authors share this applied pedagogical tool, where students can develop financial analysis based on the financial statements of a real company, calculating, interpreting, and analyzing the results of all indicators, including: liquidity, debt, activity, profitability, break-even point, performance, productivity, and diagnosis.
DOI: 10.17632/b7vw628825.1
title: SDN-DDoS Traffic Dataset

description: In cybersecurity, understanding and mitigating Distributed Denial of Service (DDoS) attacks are paramount. Although public datasets offer valuable insights, they often lack the specific characteristics or scale necessary for comprehensive research. Hence, the generation of tailored datasets is imperative for addressing the limitations of public resources. This dataset serves as a crucial resource for evaluating and refining AI algorithms, particularly in the domains of machine and deep learning. By providing a diverse array of DDoS attack traffic scenarios, researchers can develop and validate models capable of detecting and mitigating such threats in real-time. Furthermore, the dataset encompasses two distinct network topologies, each comprising 12 switches and 24 hosts, orchestrated by a Ryu controller in a Software-Defined Networking (SDN) environment. This setup enables the simulation of complex network behaviors and generation of realistic traffic patterns that are reflective of actual deployment scenarios. The dataset includes a comprehensive set of features that are essential for characterizing network traffic dynamics during DDoS attacks. These features encompass critical parameters, such as source and destination IP addresses, packet and byte counts, duration metrics, flow characteristics, protocol details, port numbers, transmission rates, delay, jitter, packet loss rates, and labeled annotations. In total, our dataset comprised an extensive collection of 1,048,575 rows, ensuring a robust and diverse sample size for rigorous analysis and experimentation. This scale facilitates the exploration of nuanced patterns and behaviors across various attack scenarios and network configurations. Furthermore, our dataset adheres to ethical guidelines and privacy standards, ensuring the anonymization of sensitive information and protection of individual privacy rights. Researchers can leverage this dataset with confidence, knowing that it upholds ethical principles while advancing the state-of-the-art DDoS detection and mitigation strategies.
DOI: 10.17632/2gkj4h388d.3
title: BD-Freshwater-Fish: An Image Dataset from Bangladesh for AI-Powered Automatic Fish Species Classification and Detection toward Smart Aquaculture

description: 1) BD-Freshwater-Fish: an image dataset contain 4389 images of 12 different species. The Species are- 
 (i) Rohu (ii) Katla 
 (iii) Mrigal (iv) Grass Carp 
 (v) Common Carp (vi) Mirror Carp 
 (vii) Black Rohu (viii) Silver Carp 
 (ix) Striped Catfish (x) Nile Tilapia 
 (xi) Long-whiskered Catfish (xii) Freshwater Shark 

2) Images are captured from local fish market of Sylhet and Jessore district of Bangladesh using HD mobile camera. 

3) This dataset can be used in various computer vision and deep learning based models for automatic identification and detection of fish species. 

4) This image based dataset can be used by fish biologist to teach ichthyology students about fish species, also.
DOI: 10.17632/2ns23b2ybr.1
title: Supplementary data - Subsea pipelines synthetic data

description: In this study, we apply the bootstrapping technique to generate a synthetic dataset for validation based on the description and evaluation of 14 pipelines in SHELL (2017) report. This dataset with 1313 synthetic pipelines was made public for benchmarking purposes. we selected the following parameters of sub-sea ducts: diameter; length; concrete, steel and coat composition; weight; fluid; proximity to other infrastructure (number of crossings); installation date; cleaning type and on bottom status. In addition, it also included the evaluation of each of the seven alternatives (A1 - Leave in situ with no further remediation required; A2- Leave tied-in at platform; remote and trenched; A3 - Leave tied-in at platform, remote and rock-dumped; A4 - Trench and backfill whole length; A5 - Rock-dump whole length; A6 - Recover whole length by cut and lift; A7 - Recover whole length by reverse S-lay) with respect to each of the twelve sub-criteria (C1 - Safety risk to offshore project personnel; C2 - Safety risk to other users of the sea; C3 - Safety risk to onshore project personnel; C4 - Operational environmental impacts; C5 - Legacy environmental impacts; C6 - Energy use; C7 - Emissions; C8 - Technical feasibility; C9 - Effects on commercial fisheries; C10 - Employment; C11 - Communities; C12 - Cost. From column M, it is shown the evaluation of each criteria for each alternative given by XiAj, where i and j represents, respectively, sub-criteria and alternatives. Reference Shell, 2017. Brent field pipelines decommissioning technical document. Technical Report February. Shell UK Limited. UK.
DOI: 10.17632/3rmy9fzx32.1
title: Simulation Files

description: This file includes the simulation file related to the data in brief article entitled "Data on Reducing Carbon Footprint in Microgrids using Distributed Battery Energy Storage".
DOI: 10.17632/y883xdgw86.1
title: Supplemental material - Discrimination between Invasive and In situ Melanomas Using a Convolutional Neural Network

description: The dataset presented here is the supplemental material of the letter: "Discrimination between Invasive and In situ Melanomas Using a Convolutional Neural Network" published in the Journal of the American Academy of Dermatology (JAAD).
DOI: 10.17632/kfvbgzkrkn.1
title: A dataset of food composition of packaged products sold in Guatemalan Supermarkets

description: The objective of this study was to assess the presence of nutrition declarations and nutritional quality in pre-packaged food products sold in Guatemala. Nutrition labels of pre-packaged food products sold in seven supermarkets in Guatemala city were photographed, we extracted information about declaration of energy, total/saturated/trans-fats, total/added sugars and sodium content (critical nutrients). We classified all products according to their degree of processing using the NOVA classification system groups: 1) unprocessed or minimally processed; 2) processed culinary ingredients; 3) processed and 4) ultra-processed products; and nutritional quality (PAHO and WHO-Europe nutrient profile models). We adapted the data collection proposed by the Food Monitoring Group. Published files: • Read me file, contains descriptive information of each file, articles publsihed from this dataset and contact information • Protocol • Forms used to collect data • Dataset (format csv) • Data dictionary
DOI: 10.17632/jr36ntmzsh.1
title: hg38 and mm10 1kb GC and mappability files

description: hg38 and mm10 GC and mappability files, suitable for use in linCNV and other genomics pipelines. Files *.gc5Base.bin_1000.bed.gz are the average fractional GC content, files *.kmer_50.bin_1000.bed.gz are the average fractional mappability using a kmer size of 50.
$ zcat hg38.gc5Base.bin_1000.bed.gz | head -n4
chr1    10000   11000   200     0.646   .
chr1    11000   12000   200     0.543   .
chr1    12000   13000   200     0.6     .
chr1    13000   14000   200     0.575   .
$ zcat hg38.kmer_50.bin_1000.bed.gz | head -n4
chr1    10000   11000   .       0.155   .
chr1    11000   12000   .       0.105   .
chr1    13000   14000   .       0.056   .
chr1    14000   15000   .       0.05    .
DOI: 10.17632/xfvw7fj7hx.1
title: Multirange Scale Soil Image Dataset

description: This is a public dataset in an original research article entitled “Soil Classification Based on a Multirange Scale Image Dataset Strategy Using a Convolutional Neural Network” by Yuning Si and Dejiang Wang.
DOI: 10.17632/b3mk4mb5dc.1
title: Pendulum Impact Prediction of Wood Specimens using Two Different Beam Theories

description: This accompanied set of Matlab functions and program will calculated the predicted impact behaviour of a pendulum impact on a wood beam specimen. The finite element model includes a similar mass distribution and stiffness of the pendulum used in our testing.
DOI: 10.17632/4hzbhn26d3.1
title: IPDD Open Data Eco Friendly Tote Bag

description: Open data for Eco frinedly Tote Bag research
DOI: 10.17632/5sz6hps9sc.1
title: The East Borneo Labor and Population Data 

description: This data is required to support our research entitled "The East Borneo Data of the Labor and Population: Analytical Review on LFR, LFPR, GAR, S-ASR, DepRat, FEmR, and UnER" 
these data included
1.The Diagram of Population Distribution in East Borneo
2. National Population SP1961 – SP2020
3. Labor Force in East Borneo 2010 - 2021
4. East Borneo LFPR Percentage Diagram 2010 – 2021
5. General Activity Rate Diagram
6. Sex-Aged Specific Activity Rate 2010 – 2021
7. Dependency Ratio Diagram
8. Fully Employe Rate Diagram
9. The Diagram of Comparison Unemployment Rate between East Borneo and Indonesia
DOI: 10.17632/tc6ysmh5j8.1
title: Dataset of symptom-fault causal relationships for an IP-based network

description: The SOFI (Symptom-Fault relationship for IP-Network) dataset contains information about an extensive enterprise network's performance and indicates the well-known faults. It was collected at a different time in several days; it contains about 649 hours of network monitoring. During around 10 hours of that time, the network was fault-induced at different time intervals. It is composed of 34 attributes, one class (F= in failure, NE= healthy network), and 12971 instances.
DOI: 10.17632/5gh3xbvc92.1
title: Dataset: Sun dynamics from topological features extraction

description: The present project has culminated in the creation of a comprehensive and detailed dataset based on solar images from the Solar and Heliospheric Observatory (SOHO). This multidisciplinary effort has resulted in a robust and automated methodology ranging from solar imaging to the calculation of spectral parameters and relevant features.
DOI: 10.17632/cvss7x9xr7.1
title: Readability and accuracy of ChatGPT 4.0 responses

description: Supplemental table
DOI: 10.17632/4gfb6g46kb.2
title: NeuroVista OpenSouce

description: A low-cost (60.07 USD), small-sized, wireless, high-precision, low-power consumption 4-channel EEG measurement system (NeuroVista) for frontal area EEG measurements, which can be used with a VR headset, enabling EEG measurements in VR environments. The system has an input-referred noise of less than 0.9480 μVrms, a common mode rejection ratio of over 96dB, a measurement resolution of less than 0.1μV, a bandwidth of 0.5~45Hz, and works at a sampling rate of 250Hz. It also supports metal dry electrodes and includes a built-in analog bandpass filter, right-leg drive circuit, and built-in digital lowpass filter and notch filter, which can reduce noise during measurement. Researchers can reconstruct the electrode system to measure regions of interest according to their needs.
DOI: 10.17632/9t3y6hhddk.1
title: Damage Detection Dataset for Concrete Structures with Multi-Feature Backgrounds

description: The "Damage Detection Dataset for Concrete Structures with Multi-Feature Backgrounds" consists of 2,750 images of size 416x416, specifically curated to facilitate the detection of structural damage in various concrete surfaces. Each image captures real-world concrete structures with diverse backgrounds and environmental features, enhancing the dataset's utility for robust training and testing of damage detection models.

Additionally, the dataset includes corresponding XML annotation files for each image, providing precise bounding box coordinates and labels for different types of damage, such as cracks, spalling, and surface deterioration. This comprehensive dataset is ideal for researchers and engineers developing AI models for damage detection and localization in concrete structures under varied conditions.
DOI: 10.17632/53k6t2563y.4
title: Dataset of Towards Small Business Excellence: The Role of Talent Management, Organizational Culture and Synergized Innovative Climate

description: 1.	Data is useful in providing insights Understanding how talent identification and selection methods change in SMEs can help business owners support their firm's growth. 
2.	This data will serve as a foundation for future talent management research, particularly those aimed at uncovering the factors that influence talent management's unique position in organizational outcomes.
3.	This data will be useful to bridge the gap that talent management in SMEs differs from large businesses by providing a theoretical rationale for the applicability of the concept of talent management as it is conceptualized in large businesses to the SME context.
4.	Data is useful to extends the understanding of talent management by examining role of organizational culture and synergized innovative climate as moderating variables on the paradox of relationship between talent management and organizational performance in small business, specifically in Central Java, Indonesia.
DOI: 10.17632/5zzrz874tt.1
title: elsepa—Dirac partial-wave calculation of elastic scattering of electrons and positrons by atoms, positive ions and molecules

description: Abstract The fortran 77 code system elsepa for the calculation of elastic scattering of electrons and positrons by atoms, positive ions and molecules is presented. These codes perform relativistic (Dirac) partial-wave calculations for scattering by a local central interaction potential V ( r ) . For atoms and ions, the static-field approximation is adopted, with the potential set equal to the electrostatic interaction energy between the projectile and the target, plus an approximate local exchange int... Title of program: ELSEPA Catalogue Id: ADUS_v1_0 Nature of problem The code calculates differential cross sections, total cross sections and transport cross sections for single elastic scattering of electrons and positrons by neutral atoms, positive ions and randomly oriented molecules. For projectiles with kinetic energies less than about 5 MeV, the programs can also compute scattering amplitudes and spin polarization functions. Versions of this program held in the CPC repository in Mendeley Data ADUS_v1_0; ELSEPA; 10.1016/j.cpc.2004.09.006 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)