cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/6x5s5hm6kr
title: Intelligent bearing fault diagnosis dataset

description: The experimental set of the faults simulator in the rotating machines made by the authors of the "Intelligent bearing fault diagnosis using swarm decomposition method and new hybrid particle swarm optimization algorithm" paper at Ahrar Institute of Technology and Higher Education (AITHE). 
This setup includes an electric motor of 0.5 hp, an inverter of 0.5 hp with the ability to change the speed between zero to 60 Hz, a belt-pulley set with a ratio of 2–1, a shaft with a length of 50 cm, and a diameter of 20 mm, two bearings, two anchor wheels for unbalancing, and a data logger. The accelerometer of the AC102-1A series and eight-channel data logger with the maximum sampling frequency of 250 kHz had been used to collect and record the vibration signals. The sensor used in this setup has a sensitivity of ± 50 g. The vibration data for different faults were obtained at the sampling rate of 17.85 kHz and the rotational speed of 1900 rpm. The bearings used in this system are of Nu 204 ECP type, the geometric specifications of which are presented in Fig. 18 (in the paper). The characteristics of the defects investigated in this experiment are described in Table 9 (in the paper). 
For further information read the paper (https://doi.org/10.1007/s00500-021-06307-x).
DOI: 10.17632/ggjs6pgvf9
title: GRASP92: a package for large-scale relativistic atomic structure calculations

description: Title of program: GRASP92 Catalogue Id: ADCU_v1_1 Nature of problem Prediction of atomic spectra - atomic energy levels, oscillator strengths, and radiative decay rates - using a 'fully relativistic' approach. Versions of this program held in the CPC repository in Mendeley Data ADCU_v1_0; GRASP92; 10.1016/0010-4655(95)00136-0 ADCU_v1_1; GRASP92; 10.1016/j.cpc.2006.07.021 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/mw9j6bz4n7
title: Guided Chatbot for Novice Researchers

description: Evaluating popular educational chatbots (EC) shows that existing EC impacts users' ability to synthesize and take ownership of their work, potentially leading to misinformation. This study aims to design and evaluate a research-guided chatbot that im-proves research synthesis. Method: One hundred sixty-five graduate students evaluated the chatbot. The qualitative data were analysed using natural language processing for sentiment analysis and emotion detection. Results: The findings show that "interesting" and "enjoyable" were frequent words used in user feedback. Sentiment analysis findings show that 47% suggested users are satisfied with the chatbot's recommendation potential; 46.3% found the guided chatbot to be the most effective in simplifying research methodology concepts; 48.4% identified the chatbot as the most effective tool for conceptualizing research questions and hypotheses and excellent in fostering ownership of their ideas; 85.3% rated the chatbot as fostering creativity; and 81.0% rated the chatbot positively for its ability to minimize misinformation. Two themes were identified in the thematic analysis: attitudes and improvements to future research-guided chatbots, emphasizing simplicity. (4) Conclusions: The strong preference for the guided chatbot underlines the potential for future improvements in EC with the flexibility to gain ownership of work with a guided approach.
DOI: 10.17632/bjnbrxwkjv
title: Setúbal Peninsula Worker Survey [SPSS data file] (Inquérito Aos Membros Da Fiequimetal Sobre Condições De Vida E Alterações Climáticas)

description: This research is part of the study titled "The Vulnerabilities of Global Value Chains in Industrial Cities: A Comparative Study and Roadmap Proposal for the Cases of Gebze and the Setúbal Peninsula," supported by the Scientific and Technological Research Council of Türkiye (TÜBİTAK). The aim of the study is to comparatively examine the economic, social, and environmental structures of the Setúbal industrial region in Portugal, dominated by the Volkswagen Autoeuropa factory, and the Gebze region in Istanbul, where the automotive and metallurgical industries are significant. Particularly in the context of discussing the vulnerabilities of global value chains concerning issues such as the pandemic and earthquakes, this research aims to contribute to the literature by investigating the spatial impacts of these chains. Both regions are analyzed based on their dependency on multinational corporate investments and their positions within global value chains.

For this purpose, the sectoral characteristics of the Portuguese and Turkish economies are analyzed, the international attractiveness of the two industrial regions is assessed, and references are made to urbanization and social dynamics. In this context, the use of qualitative and quantitative research methods is targeted. The research has been conducted with workers in both countries who are part of global value chains in the automotive and metallurgical sectors and are covered by collective bargaining agreements. Workers' living conditions, income status, housing and environmental issues, and climate change awareness are being comparatively analyzed, and the results are being used in the analysis for both regions.

The database for this study, which contains the survey results from Setúbal Peninsula in Portugal, was created using the envelope method, based on the organizational structure of Fiequimetal/CGTP-IN, with permission from the union for this purpose. The envelope method involved delivering the survey form to the selected participants in an envelope and then collecting the completed forms.
DOI: 10.17632/3zggb53m4x
title: ITC-Net-Blend-60: A Comprehensive Dataset for Robust Network Traffic Classification in Diverse Environments - Scenario B

description: This dataset includes network traffic data from more than 50 Android applications across 5 different scenarios. The applications are consistent in all scenarios, but other factors like location, device, and user vary (see Table 1 of the DetailedDescription document in the Supplementary Materials repository). 
The current repository pertains to Scenario B. Within the repository, for each application, there is a compressed file containing the relevant PCAP files. The PCAP files follow the naming convention: {Application Name}{Scenario ID}{#Trace}_Final.pcap.
DOI: 10.17632/63t36dcg7s
title: Drug Induced Acanthosis Nigricans

description: Dataset of the Koh et al algorithm for adverse drug reaction causality, applied to the drugs inducing acanthosis nigricans.
DOI: 10.17632/br34h9wdrd
title: Experimental Language Learning Activities For Data Collection

description: Comprehensive guide for mastering Yue pronunciation using AI
DOI: 10.17632/kz2jzsv3zf
title: Matlab code for Visual Impact

description: Set of files to be executed in Matlab. It includes the generic method of evaluating the visual impact, and a simplified photomontage of the farm.
DOI: 10.17632/vp4x223gvg
title: Evaporation of levitating microdroplets containing nanoparticles: luminescent Gd2O3:Er3+, TiO2, polystyrene; illumination with 806 nm laser from below

description: Microdroplets of suspension were levitated in a linear quadrupole trap and studied similarly as described e.g. in Y. Shopa et al., JQSRT 296 (2023), but illumination with an 806 nm diode laser (CW, ~1.5 W), which excited luminescence by up-conversion, was provided (vertically) from below. In 2023, its polarization was s+p (~45deg) and from the beginning of 2024, it was p. In some experiments, the droplet was additionally illuminated with a 512 nm diode laser with p polarisation. The suspended phase consisted of nanoparticles of Gd2O3:Er3+ of several concentrations, and for comparison, polystyrene of 1 micrometer diameter and TiO2 of 100 nm diameter. The continuous phase consisted of diethylene (2EG), triethylene (3EG), and tetraethylene (4EG) glycols. The data is divided into the folders correspondingly. Two groups of spectral lines were (usually) visible (green (stronger) and red). We followed the temporal evolution of several selected lines, both in luminescence and in scattering at right angle (usually 538, 548, 553, 562, 633, 654, 661, 675, 682, 783, 806 nm): files *-Spectra.csv, where * (in hh_mm_ss format) always denotes the time of measurement file creation. Simultaneously the shadow image of the droplet was recorded (non-coherent light, 633 nm LED) - in some cases, a movie: *_Shadow-*.avi is provided. The droplet radius was measured by fitting an ellipse to the shadow edge. The ellipse parameters temporal evolution are stored in *-Shadow.pdf files: time, mean diameter (mean of the ellipse axes), long axis rotation, X and Y of the centre, long and short axis, border length, X and Y of “the centre of mass” of the border, fitting error. The microdroplet's vertical position was stabilised with a DC field. The corresponding voltage variation and other stabilisation system parameters are stored in *.csv files: KeyStab: 0 – stabilisation off, 2 – on, k_PID – proportionality parameter of the software voltage regulator, freq – trapping AC field frequency. In some cases, partially concurrently light was collected at a right angle with a PMT for the green 512 or 806 nm laser. The photon count rate is stored in *-CRM.csv files. Time stored in corresponding files was synchronised. In-focus movies (see readme.txt for details) of the evaporating microdroplet were recorded for certain experiments to illustrate its evolution – no synchronisation is available. It must be kept in mind that the observed image is for the most part laser speckle. The "Laser on/off" pertains to the 806 nm laser. Further details can be found in the readme.txt files in the corresponding folder. (No)_th_spectrum.csv represents the ith recorded spectrum from the corresponding experiment. The parameters of the Gd2O3:Er3+ samples can be found in the .pptx files.
DOI: 10.17632/r5th4s7vpv
title: StarRest: Um Conjunto de Dados de Restaurantes Estrelados e respectivas Avaliações

description: This paper presents StarRest, a comprehensive dataset on Brazilian Michelin-starred restaurants, including customer reviews collected between 2008 and 2024 across six online review platforms. The analysis highlights the popularity of the platforms, the distribution of reviews by language, and customer activity, revealing a long-tail distribution in participation. Possible applications of the dataset are discussed, such as sentiment analysis, gastronomic trends, and personalized recommendation development, as well as challenges encountered in data collection and organization.
DOI: 10.17632/s6cs94hyrb
title: Stroke data

description: Pain and spasticity data
DOI: 10.17632/bhgmxs3g2d
title: Modelling the effect of prebiotics, probiotics and other functional additives on the growth, feed intake and feed conversion of European sea bass (Dicentrarchus labrax) juveniles

description: Raw data to reproduce the observational multiple-linear regression model analysis reported on the study called: "Modelling the effect of prebiotics, probiotics and other functional additives on the growth, feed intake and feed conversion of European sea bass (Dicentrarchus labrax) juveniles"
DOI: 10.17632/3xcrdmmfnw
title: Latvian Real Estate Announcements Monitoring in 2022

description: This data set represents real estate market announcements monitoring data in Latvia in 2022. The data was collected from online ads site ss.com. The database contains 180,5 thousand ads and consists of 24 groups of data (type of deal, price, characteristics and address of real estate, etc.). The data reflects the dynamics of price changes by months (at the beginning of the month) in 2022. Monitoring continued in 2022 was started in 2018. 2018 year dataset is available in Skribans, Dr.oec. V. (Riga Technical University) (2019): Latvian Real Estate Announcements Monitoring in 2018. DANS. https://doi.org/10.17026/dans-2z3-fx28 ; 2019 year data is available in Skribans, Valerijs (2019), “Latvian Real Estate Announcements Monitoring in 2019”, Mendeley Data, V1, doi: 10.17632/m7bzjsx557.1 ; 2020 year data is available in Skribans, Valerijs (2020), “Latvian Real Estate Announcements Monitoring in 2020”, Mendeley Data, V1, doi: 10.17632/wrnvjfszc9.1 ; 2021 year (first Quoter) data is available in Skribans, Valerijs; Cevers, Aldis; Rudzitis, Normunds; Gulbis, Aivars; Krastins, Aivars (2021), “Latvian Real Estate Announcements Monitoring in 2021 Q1”, Mendeley Data, V1, doi: 10.17632/cvr23jgjkz.1
DOI: 10.17632/mc76gp46vj
title: DATA IDENTIFICATION OF BIOMASS FOR ENERGY USING NEURAL NETWORKS APPLIED TO THERMOGRAVIMETRIC CURVES

description: This work evaluates the use of TGA curve markers (similar to genetic markers) to obtain information on biomass. That is, multiple values of percentage of residual weight with respect to the initial one at specific temperatures of the TGA curve are used to identify specie and wood and leaf mixtures. 

The data obtained from the TGA analyzes for different mixtures of leaves and wood (100% leaf, 50% leaf and 50% wood and 100% wood) of 7 species are presented (poplar (Populus sp.), caper (Euphorbia laurifolia), alder (Alnus acuminata), arupo (Chionanthus pubescens), cypress (Cupressus macrocarpa), eucalyptus (Eucalyptus globulus), linden (Sambucus nigra L.) and pine (Pinus radiata))

From each of the thermogravimetric curves, the residual weights of the sample at fixed temperatures have been selected (100ºC, 175ºC, 200ºC, 325ºC, 400ºC, 475ºC and 550ºC). These weights represent the input to a neural network to identify both the species and the percentage of leaves and wood.

The last sheet of the file shows the assignment of values to each species and the final combination of the mixture of leaves and wood, output of the neural network.
DOI: 10.17632/mv22t9c55p
title: Dataset for entrepreneurship education, fear of failure, psychological and contextual predictors of entrepreneurial intention

description: This dataset belongs to the survey conducted for capturing the perceived levels of entrepreneurial intention, entrepreneurial motivation, entrepreneurship education, perceived cultural support, Govt. support policies, fear of failure, and Access to entrepreneurial finance among UG and PG level students studying business and management in Central University of Kashmir, Aligarh Muslim University, and Jamia Hamdard University Kannur Campus. For the purpose of data collection, a questionnaire was developed borrowing validated scales from previous literature.
DOI: 10.17632/yrzzw9m6kk
title: Ultrasound Fetus Dataset

description: The information is based on medical ultrasound scans that show signs of fetus data's. There are three types of pictures included in the Fetus Ultrasound Dataset: normal, benign, and malignant. When paired with deep learning, breast ultrasound images may provide impressive results for fetus disease level detection, segmentation, and classification.
DOI: 10.17632/67s4tyrrxj
title: Data for: Performance Assessment of Supersonic and Hypersonic Intake Systems with Nano-Particle Injection

description: Boundary conditions, coarse grid files and solver setup data for gas-particle flow simulations for a mixed compression supersonic intake, in OpenFOAM
DOI: 10.17632/gz7w2cchwp
title: Dataset about a Digital Ethnographic project on Platform Capitalism and Female Digital nomads

description: This dataset is part of an ongoing research project about the new ways in which remote labour allow the emergence of internet figures such as influencers and digital nomads to find a place among the female traveling niche to create profitable digital content to have an income from a passion rather from a traditional job. 
This manuscript then, is of great relevance in Digital Anthropology studies, since it addresses how the new economic systems and the phenomenon of platform capitalism availed these women to have the status of “internet celebrities”, gaining certain level of acceptance, authority, and expertise in the world of digital travelers.
Thus, through a digital ethnographic methodology, this dataset helps to explore the creative practices and social interactions of traveling women, who converge in different virtual traveling communities on the socio-digital network Instagram, whose common purpose is to make a living by constantly being “on the pursuit of the wanderlust dream”, using the internet as an ally motivated by their entrepreneurial but adventurous ethos, their marketable image, and their desire for more authentic travel experiences. Although this research is still in progress, so far, the data obtained has been useful in understanding the imaginaries of living in a perfectly aesthetic online world in which the conventional ways of life are reshaped and rearranged to have a more dynamic life beyond office schedules, as these women seem to be on a permanent vacation even if they are being highly productive in what became their permanent but allegedly more flexible online job.
DOI: 10.17632/mjcjxdsjbg
title: Nano-silica-modified alkali activated multi-solid waste-based concrete: Hydration characteristics and seawater corrosion mechanism

description: This study addresses the issue of seawater corrosion faced by solid waste-based concrete in marine environments by introducing nano-silica (NS) to optimize the alkaline-activated gelling material system. It investigates the impact of activator types and gelling material proportions on the hydration characteristics of neat paste and the seawater resistance of concrete. The results indicate that when the ratio of fly ash to steel slag is 1:1 and dual activation with NaOH and Na₂SiO₃ is employed, the 28-day compressive strength reaches 28.41 MPa, which is 2.41 MPa higher than that of the group with only NaOH. After adding 2% NS, the 28-day strengths of the B1N2 and B2N2 groups increase to 29.67 MPa and 29.41 MPa, respectively. In the seawater corrosion test, the strength of the B1 group without NS decreased by 28.6% after soaking in high-concentration seawater for 90 days, while the strength of B2N2 only decreased by 2.1%, with a corrosion resistance coefficient of 97%. Moreover, the chloride ion concentration at the surface layer (5 mm) was only 10% at 90 days. NS significantly inhibits the intrusion of Cl⁻ and SO₄²⁻ by filling pores and promoting the densification of C-A-S-H gel. Additionally, ICP-MS results show that after soaking B2N2 in seawater for 90 days, the concentrations of Al and Fe in the seawater were 2.6 µg/L and 1.2µg/L, respectively, indicating that this multi-solid waste-based concrete has an extremely low risk of metal leaching in marine environments. This study holds significant value for the development of high-performance, environmentally friendly marine engineering concrete.
DOI: 10.17632/nr7cs764rc
title: Large database for the analysis and prediction of spliced and non-spliced peptide generation by proteasomes

description: The following dataset is linked to the paper “Large database for the analysis and prediction of spliced and non-spliced peptide generation by proteasomes” by Specht et al. published by Scientific Data in 2020. The Mendeley dataset contains three files: - ProteasomeDB.csv. This database is the core of the manuscript . It reports cis and trans spliced as well as non-spliced peptide products identified in the in vitro digestions of 55 synthetic substrates with different proteasome isoforms and conditions. Our database accounts for 22,333 product sequences (7,305 non-spliced, 7,323 cis spliced and 7,705 trans spliced product sequences), which are defined as peptide product sequences unique within each sample. Several product sequences are identified in more than one sample of the same substrate. Therefore, the number of unique peptide sequence, i.e. peptide sequences unique within each substrate, is smaller than the number of product sequences. In particular, our database contains 14,433 unique peptide sequences (3,834 non-spliced, 5,011 cis spliced and 5,588 trans spliced unique peptide sequences). The samples were measured by three different mass spectrometers in two independent proteomics centres. The related mass spectrometry files have been deposited to the PRIDE repository with the dataset identifier PXD016782. - proteasomeDB_sql_script.txt, which is the sql script to create the database. - ProteasomeDB.sql, which has been created by using the command mysqldump. It contains the the entire database (including table, schema, script) in sql format. For any further query, please contact directly: - Juliane Liepe, Max Planck Institute for Biophysical Chemistry Email: jliepe@mpibpc.mpg.de - Michele Mishto, King's College London Email: michele.mishto@kcl.ac.uk
DOI: 10.17632/7yx6ns3zpf
title: Mix_Fruits_dataset_Rohini Desai

description: Dataset is created for Occlusion handling, classification and counting using Deep Learning algorithm
DOI: 10.17632/bj9vj2n4kj
title: A Behavioral Finance Analysis of Investment Choices in Varanasi: Faith and Finance

description: This research delves into the intriguing interplay between faith and finance in the investment choices of individuals in Varanasi, India. Varanasi, a city deeply rooted in spirituality and religious beliefs, offers a unique setting to explore how faith influences financial decision-making. Using principles of behavioral finance, this study examines the cognitive biases and emotional factors that shape investment decisions in Varanasi. Through surveys, interviews, and analysis of investment patterns, this research seeks to shed light on the complex relationship between faith and finance in one of India's most culturally significant cities.
DOI: 10.17632/9k2mg82ct4
title: De-dollarization data

description: Financial data on de-dollarization for BRICS and WAEMU nations
DOI: 10.17632/c8pvz89ztr
title: LINF_170021200

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/sm7fvt8hsg
title: A stromal cell-neutrophil axis promotes tumor-supportive bone marrow inflammation in newly diagnosed and treated myeloma

description: Cellranger output files (after soupx) and .RDS integrated datasets of single-cell RNA sequencing from: - the bone marrow myeloid compartment of newly diagnosed and treated individuals with multiple myeloma, as well as non-cancer controls - the bone marrow non-hematopoietic compartment of treated individuals with multiple myeloma, and previously published non-cancer controls