cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/pwzndx3yjk
title: ‘BHARAT VARSHA’ Authored by Syed Mustafa Siraj(1930-2012) and Translated by Dr. Md Siddique Hossain

description: SUMMARISATION: Syed Mustafa Siraj, a renowned Bengali author, was known for his captivating works, including 'Neel Ghorer Nati' and 'Aleek Manush'. He was a prominent figure in music and later pursued a career in music. Siraj's short story, "Bharat Varsha," was included in a Bangla textbook for students of the West Bengal Council for Higher Secondary Education during a time of deep-seated division in India. The story depicts a marketplace in a rural settlement, surrounded by bamboo and surrounded by a brick kiln. The market is a symbol of resistance against communism and the impact of untimely rainfall on agricultural yields. In a hamlet, people engage in unrestricted behavior, often leading to intense discussions and physical altercations. During winter, they gather near an oven to raise their body temperatures and discuss various topics. The tea vendor, who earns revenue from selling tea, maintains a sense of assurance over remuneration from the locals. One day, an elderly woman, known for her wrinkles and aging appearance, is found motionless and discarded in the riverbed. The villagers, concerned about her fate, decide to transport her to the nearby police station, knowing her decomposition will determine her fate. The decomposing cadaver remains immobile in the sunlight, and the villagers contemplate the arrival of a ravenous vulture swarm. A group of Hindus and Mohammedans recite rituals in Arabic while transporting a corpse from a nearby region. The Hindus, who abandoned the corpse, were enraged and decided to interment her in a cemetery. Rival factions vying for control of the gurney began, with spectators tossing profanities and brandishing swords and pikes. The government watchman tried to avert the conflict, but his words went unnoticed. Unbeknownst to everyone, the deceased corpse trembled and a trembling woman appeared. The bewildered guardian proclaimed, "Burima, you were not dead!" The woman, enraged, questioned her beliefs and demanded to leave before time ran out. The enraged woman gathered her possessions and disappeared, never to be re-observed.
DOI: 10.17632/8z5h7vyp7m
title: Career adaptability, employability and personality relationship

description: The data consist of the variables career adaptability, employability, and personality. The research hypotheses are (1) career adaptability and employability are positively related, (2) personality moderates the relationship between career adaptability and employability. Career adaptability has four sub-dimensions, which are not included in the analysis.
DOI: 10.17632/pxmh4jsb54
title: POLQ seals post-replicative ssDNA gaps to maintain genome stability in BRCA-deficient cancer cells, Belan et al

description: A file containing all the original images shown in the manuscript with cropped areas marked for the manuscript entitled 'POLQ seals post-replicative ssDNA gaps to maintain genome stability in BRCA-deficient cancer cells' by Belan et al.
DOI: 10.17632/8mbtkgmw3n
title: Ireland's predominant housing typology dataset

description: Refined EPC database, downloaded July 2014; related to Ireland's predominant housing typology and includes all rurally located detached oil heated dwellings constructed up and until 2006
DOI: 10.17632/jpbtrskhvg
title: Health inequality and it’s decomposition between rural and urban migrant workers in China

description: Self-rated health was taken as the health level evaluation index, the concentration index of self-rated health and factors affecting self-rated health was calculated, and decomposed by the method of Wagstaff et al.
DOI: 10.17632/t52gnc79kx
title: Bank Nifty Option Buy or Sell Signal

description: Automated Excel Sheet for Bank Nifty Option Trading - 7 Day Trial Watch attached Video
DOI: 10.17632/tkbf745gkg
title: C5a-licensed phagocytes drive sterilizing immunity during systemic fungal infection_Desai et al

description: Raw data of paper (PMID: 37220746)
DOI: 10.6084/m9.figshare.24064002.v1
title: Supplementary Table3

description: <b>Supplementary Table 3</b>: Differential and co-abundance analysis of gut microbiome. Related to Figure 4.<b>(a)</b>Differential Genera of CMS1.<b> (b)</b>Differential Genera of CMS2. <b>(c)</b> Differential Genera of CMS3. <b>(d)</b> Differential Genera of CMS4. <b>(e)</b>CMS1-specific Co-abundance Network Nodes. <b>(f)</b>CMS2-specific Co-abundance Network Nodes. <b>(g)</b>CMS3-specific Co-abundance Network Nodes. <b>(h)</b>CMS4-specific Co-abundance Network Nodes.
DOI: 10.17632/z2p7k2xcss
title: Data for: No SARS-CoV-2 detected in air samples - tested pollen are no carrier of virus particles
DOI: 10.6084/m9.figshare.21637198.v1
title: Along the footpath of <i>Penicillium</i> discovery: Six new species from the Woodville Big Tree Forest Trail

description: In this study, we studied the diversity of <i>Penicillium</i> occurring in soil collected along the Woodville Big Tree Forest Trail situated close to the coastal town of Wilderness in South Africa. Strains were accessioned into a collection and then identified to species based on β-tubulin DNA sequences, which is the recommended DNA barcode for the genus. The 74 strains were found to represent 18 species, including six we consider undescribed. Here, we introduce them as <i>Penicillium claroviride, P. kalander, P. mattheeae, P. outeniquaense, P. subfuscum</i>, and <i>P. umkhoba</i>. Phylogenetic comparisons were made, and genealogical concordance was demonstrated for these new species using DNA sequences from nuc rDNA internal transcribed spacer region ITS1-5.8S-ITS2 (ITS barcode), β-tubulin, calmodulin, and RNA polymerase II second largest subunit. Notes on morphological characters distinguishing the new species from their close relatives are provided.
DOI: 10.17632/9njzry9f6m
title: Electronic Accessories Classification Dataset: A Comprehensive Collection for Accessory Recognition and Categorization

description: Objective: 
This dataset has been curated to advance research in the recognition and classification of electronic accessories. It aims to support the development of machine learning models by providing diverse, high-quality images suitable for various computer vision tasks, such as object classification, segmentation, and identification.

Description:
The dataset comprises images of 10 electronic accessories, captured from various angles and perspectives to ensure a wide range of scenarios. It includes both raw images in PNG format and augmented images in PNG format, making it ideal for building robust machine learning models.

Classes:
Charger,
Game Controller,
Headphone,
Keyboard,
Laptop,
Monitor,
Mouse,
Smartphone,
Smartwatch,
Speaker.

Key Features:
Total Images: 14027 (4027 raw and 10000 augmented images)
Number of Classes: 10 classes.

File Formats:
Raw Images: PNG
Augmented Images: PNG
Data Type: Image data

Applications:
Machine Learning: Training models for image classification, object detection, and segmentation in computer vision.
E-Commerce: Assisting in product recognition for online marketplaces.
Inventory Management: Automating accessory identification and sorting for warehouses.
Smartphone Applications: Enabling mobile apps for real-time accessory recognition.

Source:
The dataset was compiled from publicly available images sourced from social media platforms and second-hand selling marketplaces, including eBay.

Augmentation Details:
The raw images were processed to enhance their utility for machine learning applications. The augmented data includes variations in rotation, zoom, brightness, contrast, and other transformations, providing clean and focused images in PNG format.

Relevance and Benefits:
This dataset bridges a critical gap in the availability of diverse, high-quality data for electronic accessory classification. By providing balanced and augmented images, it enables researchers and developers to build more accurate models for accessory recognition. The inclusion of multiple formats and diverse perspectives ensures its adaptability across a range of use cases, from academic research to real-world applications in commerce and automation.
DOI: 10.17632/prw6hpk4w2
title: (Dataset) Accessibility Assessment in Mobile Applications for Android

description: (Dataset) Evaluation of accessibility in Android mobile applications on Google Play available for Ecuador.
DOI: 10.17632/wcjwf6gn56
title: Mechanical properties of films bioplastics based in seaweed from scientific literature

description: The present database investigates the effect of different combinations of components on the mechanical properties of seaweed-based bioplastics, with a specific focus on tensile strength and elongation at break, found in the scientific literature of the search engine Scopus. Following the hypothesis that varying compositions will significantly impact these properties, the basis provides a detailed breakdown of the standardized concentrations of each component in mass/mass or volume/volume percentages. Some notable findings include combinations of components that show substantial improvements in strength and elasticity, suggesting a focus on these materials for the development of biopolymeric film technology applications such as sustainable packaging manufacturing. This resource is useful for future research seeking to interpret or improve the properties of seaweed-based bioplastics.
DOI: 10.17632/76vzc2gr8s
title: Screening data of ashwagandha genetic resources

description: Screening data of ashwagandha genetic resources against leaf spot disease
DOI: 10.17632/8wsddy5y5d
title: Analysing the functional properties of closed-cell cellular lattice structure designed with thin and thick wall for additive manufacturing

description: uniaxial compression tests are performed on a servo-hydraulic MTS 810 material test system equipped with a 100 kN load cell, at a strain rate of 5 mm/min. Compression is imposed on 3 levels, 10, 20, and 30% for open, thin-walled closed-cell, and thick-walled closed-cell lattice structure.
DOI: 10.17632/rcdsfxdztb
title: EEG feature model

description: The EEG data in normal state and motion sickness state were collected for nearly 3 minutes, and the EEG data contained 29 channels. According to the conclusions of previous research literature on motion sickness, VR motion sickness occurs in parietal lobe, occipital lobe, frontal lobe and temporal lobe. In order to avoid too many channels of EEG data and irrelevant channels reducing the effect of feature extraction, according to the relationship between brain regions and EEG signal acquisition channels, we select the corresponding EEG channels for processing, and we only select eight channels as follows: FP1, FP2, C3, C4, P3, P4, O1 and O2 channel.This dataset contains only classification tasks.For convenience, we rearranged the order and put the required frequency bands in the first eight channels. SSQ.xlsx is the score table of each subject watching video, and eegcut.py is the data script for our model classification experiment, which is used to segment the whole EEG data and save it as a new. mat file.
DOI: 10.17632/ysdtp3xkr9
title: GeoHealth_Pb_Phytoremediation_dataset

description: This is the data for the paper to be published in GeoHealth.
DOI: 10.6084/m9.figshare.25998925.v1
title: <b>Hydration conditions as a critical factor in antibiotic-mediated bacterial competition outcomes</b>

description: All data and code related to the paper
DOI: 10.17632/9m2m4bcz4p
title: immunophenotype for HSC and MPP with PE screen kit plate-1

description: immunophenotype for HSC and MPP with PE screen kit plate-1
DOI: 10.6084/m9.figshare.13633892.v1
title: Supplementary material for Guo et al

description: Associated materials for Jeffery et al "Factors affecting mental mapping of a virtual building." Includes the videos, written scripts, audio files and questionnaires, maps and raw data in Excel format.<br>
DOI: 10.17632/94jf97jzc8
title: Dataset for pest classification in Mango farms from Indonesia

description: The infestation of pests affecting the Mango cultivation in Indonesia has an economic impact in the region. Following the recent development in the field of machine learning, the application of deep-learning models for multi-class pest-classification requires large collection of image samples upon which the algorithms can be trained. Addressing such a requirement the paper presents a detailed outline of the dataset collected from the Mango farms in Indonesia. The data consists of images captured from the Mango farms affected by 15-categories of pests which are identifiable through structural and visual deformity exhibited in the Mango leaves. The collection of the data involved the use of a low-cost sensing equipment that are commonly used by the farmers for collecting images from the farm. The collected data is subjected to two processes, namely the data augmentation process and training of the classification model. The dataset collection consists of 510 images that includes 15-caterogies of pests that affect Mango leaves along with the original appearance of the Mango leaves (resulting in 16-classes) collected over a period of 6 months. For the purposes of training the deep-learning neural network, the images are subjected to data augmentation to expand the dataset and to emulate closely the large-scale data collection process carried out by farmers. The outcome of the data augmentation process results in a total of 62,047 image samples, which are used to train the network. The multi-class classification framework. The training framework presented in the paper builds on the VGG-16 feature extractor and replaces the last 3-year network with a fully connected neural network layers resulting in 16-output classes. The dataset includes the annotation of the image samples for both original images captured from the field and the augmented image samples. Both the original and augmented data has been classified as training, validation and testing. The overall dataset is divided into 3-parts, namely version 0, version 1 and version 2. The version 0 consists of the original data set, with 310 images to be used for training, 103 images to be used for the validation and finally 97 images for testing. The version 1 of the dataset of includes 46,500 image samples for training, following the application of the data augmentation process followed by the 103 original images used for validation and 97 images for testing. Finally, the version 2 of the dataset uses 47, 500 images for training and 15, 450 images for validation and 97 images for the testing. The three versions of the dataset include images available in JPEG format. The visual appearance of the pests captured in the dataset provides an ideal testbed for benchmarking the performance of various deep-learning networks trained to detect specific categories of pests. In addition, the dataset also provides an opportunity to evaluate the impact of data augmentation techniques on the original dataset.
DOI: 10.17632/s4fz2b3yt4
title: Renewable Energy Consumption and Sustainable Development in High-Income Countries

description: Data for: Renewable Energy Consumption and Sustainable Development in High-Income Countries
DOI: 10.17632/v39pc2g2wp
title: MatriVasha: Bangla Handwritten Compound Character Dataset and Recognition

description: Cite this dataset as: Ferdous J., Karmaker S., Rabby A.K.M.S.A., Hossain S. (2021) MatriVasha: A Multipurpose Comprehensive Database for Bangla Handwritten Compound Characters. In: Tavares J.M.R.S., Chakrabarti S., Bhattacharya A., Ghatak S. (eds) Emerging Technologies in Data Mining and Information Security. Lecture Notes in Networks and Systems, vol 164. Springer, Singapore. https://doi.org/10.1007/978-981-15-9774-9_74 MatriVasha the largest dataset of handwritten Bangla compound characters for research on handwritten Bangla compound character recognition. The proposed dataset contains 120 different types of compound characters that consist of 306,464‬ images written where 152,950 male and 153,514 female handwritten Bangla compound characters. This dataset can be used for other issues such as gender, age, district base handwriting research because the sample was collected that included district authenticity, age group, and an equal number of men and women.
DOI: 10.17632/xjxvvsrdjb
title: Two computer programs for solving the Schrödinger equation for bound-state eigenvalues and eigenfunctions using the Fourier grid Hamiltonian method

description: Abstract Two computer programs (FGHEVEN and FGHFFT) for solving the one-dimensional Schrödinger equation for bound-state eigenvalues and eigenfunctions are presented. Both computer programs are based on the Fourier grid Hamiltonian method (J. Chem. Phys. 91 (1989) 3571). The method is exceptionally simple and robust. It relies on using the momentum representation for the kinetic energy operator and the coordinate representation for the potential energy. The first computer program (FGHEVEN) is based on... Title of program: FGHFFT Catalogue Id: ACBQ_v1_0 Nature of problem The program solves the one dimensional Schrodinger equation numerically to any desired degree of accuracy. The solutions are needed in molecular spectroscopy, molecular scattering theory and photodissoci- ation theory. They may also be used as a component of a more extensive code for solving the Schrodinger equation in more than one dimension. Versions of this program held in the CPC repository in Mendeley Data acbq_v1_0; FGHFFT; 10.1016/0010-4655(91)90023-E This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/7mvgr2swm3
title: data indian banks upto 2019

description: culled from RBI warehouse
DOI: 10.17632/f8fmvfbxdw
title: Oxytocin levels in dairy cows before and after using a mechanical brush

description: The aim of this study was to investigate if plasma oxytocin is influenced in cows when they are allowed to self-groom using a mechanical rotating brush. Additionally we assessed the relationship between oxytocin levels and the specific body regions the cows chose to brush. The study involved twelve catheterised non-lactating cows, where three blood samples were collected before and three after brushing. Each cow was moved to a test area and brushing behaviour was observed during the brush period when the cow was given access to a brush area. Data analysis utilized a linear mixed model to compare oxytocin levels between sample points and Spearman rank tests to explore possible correlations between brushing behaviour and the change in oxytocin following brushing.
DOI: 10.17632/np9tygy85b
title: Atom:Fundamental Errors and Methods to Fix Them_Monograph. Tashkent. 2024.

description: Аннотация: На основе результатов эксперимента по визуализации структуры атома водорода можно проверить достоверность таких сомнительных теорий, как квантовая механика и модель атома Бора. В монографии рассматриваются фундаментальные исследования структуры атома. Наши исследования включали следующие этапы: 1. Анализ фундаментальных аспектов модели атома Бора и теории квантовой механики; 2. Выводы по первому этапу; 3. Сравнение параметров атома водорода, полученных с помощью модели атома Бора и квантовой механики, с результатами эксперимента по визуализации структуры атома водорода [33]; 4. Разработка методологии и интерпретации структуры атома водорода на основе причинно-следственных связей. При исследовании модели атома Бора были выявлены математические и физические ошибки. Анализ экспериментальных результатов [33] показал противоречия между моделью атома Бора и теорией квантовой механики, вызванные фундаментальными ошибками обеих теорий. Исследование представлено в заключении в виде таблиц и приложений № 1 и № 2.
DOI: 10.17632/52knh3btb3
title: Modeling atmospheric microplastic cycle by GEOS-Chem: An optimized estimation by a global dataset suggests likely 50 times lower ocean emissions

description: Data for a paper with the same title.
DOI: 10.17632/bc3zmk2thy
title: TransPath Dataset: Generative Models for Grid-Based and Image-Based Pathfinding

description: Dataset for generative models for grid-based and image-based pathfinding
DOI: 10.17632/dt9smy27b3
title: Data for: Comprehensive performance assessment of a continuous solar-driven biomass gasifier

description: 1. Types of biomass feedstocks, 2. Typical measurements during a solar gasification experiment, 3. Typical evolution of syngas production rates during continuous biomass injection, 4. Operating conditions and solar reactor performances assessment, 5. Steam mass flow-rate chart for a stoichiometric H2O/biomass molar ratio, 6. Window deposit due to the presence of smoke at low temperature, 7. Effect of temperature on syngas yield and energy upgrade factor, 8. Kinetic study, 9. Ashes remaining in the reactor cavity, 10. Effect of biomass feeding rate for each biomass type at 1200 °C, 11. Effect of biomass feeding rate for each biomass type at 1300 °C, 12. Influence of biomass feeding rate on syngas production rates evolution, 13. Energy balance, 14. Comparison of the carbon consumption rate at different temperatures as a function of biomass feeding rate
DOI: 10.17632/jrxdgj5p4n
title: Data for: Atmospheric gas in modern and ancient halite fluid inclusions: a screening protocol

description: Halite fluid inclusion gas chemistry used to model (measure) ancient atmosphere
DOI: 10.17632/w55gdtft5n
title: Enhancing Training Quality in Higher Technical Education Institutions in Libya: Challenges and Strategic Approaches

description: Abstract
 Lecturers training is crucial for enhancing educational quality and ensuring alignment with contemporary curricula. This study examines the barriers impeding Lecturers training programs in higher technical education institutions in Libya, with the goal of improving Lecturers proficiency. A descriptive-analytical approach was utilized, and data was collected from 65 Lecturers members across five municipalities in the Aljabel Algarbee region of Libya using a comprehensive questionnaire addressing planning, methodologies, resources, trainers, and trainees. The study data was analyzed statistically using the famous software SPSS, revealing significant correlations between the identified barriers and the proposed solutions. A regression analysis and ANOVA (F-test) were conducted, showing that 62% of the variance in training obstacles could be explained by predictor variables such as inadequate planning, insufficient content, and challenges related to modern educational methodologies. According to the findings, the study suggests adopting effective planning strategies to enhance the effectiveness of lecturer training programs to improve academic performance and increase the efficiency of higher technical education outcomes in Libya, thereby contributing to digital transformation and sustainable development.

 Keywords: Enhancement Training Programs, Enhancement Academic Performance, Training Content, Training Barriers, Effective Training Strategies.