cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/vxkj334rzv.7
title: Vibration and Motor Current Dataset of Rolling Element Bearing Under Varying Speed Conditions for Fault Diagnosis: Subset1

description: This dataset discloses vibration and motor current data for bearing faults under varying speed conditions from 680 RPM to 2460 RPM. The bearing conditions include healthy bearing, bearings with inner race faults, and bearings with outer race faults. For each faulty bearing condition, the three-phase induction motor is operated under randomly varying speed conditions. 
Important: Datasets are divided into three parts because of storage limitations (Subset1, Subset2, and Subset3). 

---- Description of vibration file format ----
Vibration data file contains five columns namely ‘Time Stamp’, ‘x_direction_housing_A’, ‘y_direction_housing_A’, ‘x_direction_housing_B’, and ‘y_direction_housing_B’. The unit of the vibration is ‘gravitational constant (g)’. 
vibration_aaaa_bbbb.csv : This file is "bbbb"-th vibration data includes rotating speed data of the condition of "aaaa".

---- Description of motor current file format ----
Motor current data file contains five columns namely ‘Time Stamp’, ‘R_phase’, ‘S_phase’, and ‘T_phase’. The unit of the motor current is ‘Ampare (A)’.

current_aaaa_bbbb.csv : This file is "bbbb"-th motor current data includes rotating speed data of the condition of "aaaa".

---- Description of rotating speed file format ----
Rotating speed data file contains two columns namely ‘Time Stamp’, and ‘speed’. The unit of the acoustic is revolutions per minute (RPM)’.
rpm_aaaa_bbbb.csv : This file is "bbbb"-th speed data includes rotating speed data of the condition of "aaaa".


For more detailed information, check our published paper.
Title: Vibration, Acoustic, Temperature, and Motor Current Dataset of Rotating Machine Under Varying Operating Conditions for Fault Diagnosis
Link: https://www.sciencedirect.com/journal/data-in-brief
DOI: 10.17632/crpdknzswh.2
title: Dataset for corruption risk assessment in a Public Administration

description: This dataset can be used for corruption approach, and it was created by integrating eight different systems of Brazilian federal government and Federal District. We present real data from civil servants and militaries to comply with GDPR legislation, the attributes that could identify a person were removed, making the data anonymized.
DOI: 10.17632/j47m3nw4mc.1
title: Autism Face Biometrics (AutFBio)

description: In this repository, you will find a set of facial features of individuals with Autism Spectrum Disorder (ASD) and Typical Development (TD). The data contains CSV files with the subject metadata and the features from the whole face and eye region extracted using HOG, LBP, Optical Flow, and Geometric methods.
DOI: 10.17632/hk66jsxzrr.1
title: The effects of low-doses UVA irradiation on HaCaT keratinocytes

description: We examined the effects of low-doses UVA irradiation on HaCaT keratinocytes with the aim of identifying UVA-induced effects on cell motility proteins. For this purpose, a comparative proteomic analysis of HaCaT keratinocytes was performed before and after irradiation with two cumulative UVA doses of 5 J/cm2 (UVA1) and 25 J/cm2 (UVA2). A total of 514 common proteins were detected for all three groups of cells. Moreover, more than half of these proteins changed their expression in response to UVA exposure even at low doses. Proteins associated with the biological process "Cell response to stress", (GO:0033554) were most strongly upregulated. 23 proteins associated with the biological process GO:0048870 - "cell motility", which are involved in the adaptive response to stress (e.g. UV radiation), were identified. 20 cell motility proteins were significantly upregulated, of which cytoskeletal actin-binding proteins were the major group. It is hypothesized that changes in the content of cell motility proteins in HaCaT keratinocytes can apparently be used to study physiological and pathological processes, particularly processes during wounding and wound healing.
DOI: 10.17632/jxzny8yh3s.1
title: digital tax enforcement and corporate debt default

description: This study selects data from A-share listed companies in Shanghai and Shenzhen Stock Exchange from 2007 to 2021 as the initial sample. The data of the CTAIS-3 were manually obtained from the official website of the State Taxation Administration. The financial data are from the China Securities Market and Accounting Research database. The following screening process was followed to avoid the interference of abnormal samples: (1) samples from the financial industry were excluded; (2) samples from Special Treatment were removed; (3) samples with missing variables were deleted. This study obtained 20,053 firm-year observations. All continuous variables were winsorized at the 1% level to eliminate the influence of outliers.
DOI: 10.17632/pn3gjgmvhh.1
title: Data for: Rate-dependent adhesion of cartilage and its relation to relaxation mechanisms

description: Data file includes average and standard deviation of pull-off force, pull-off time and pull-off displacement as a function of unloading rate.
DOI: 10.17632/czjfwgs9tm.1
title: ParlVote: A Corpus for Sentiment Analysis of Political Debatess

description: A dataset for binary sentiment classification of speeches from the House of Commons of the United Kingdom Parliament. For details, see: G. Abercrombie and R. Batista-Navarro. ParlVote: A Corpus for Sentiment Analysis of Political Debates. Proceedings of the Twelfth International Conference on Language Resources and Evaluation (LREC-2020). European Languages Resources Association (ELRA), 2020. Published under the Open Parliament Licence v3.0 : https://www.parliament.uk/site-information/copyright-parliament/open-parliament-licence/
DOI: 10.17632/bbybhrz4ny.2
title: Absorber layer thickness as a new feature in statistical learning for predicting electrical measures of performance on perovskite solar cells

description: Dataset used for constructing ML models used in the article 'Absorber layer thickness as a new feature in statistical learning for predicting electrical measures of performance on perovskite solar cells'
DOI: 10.17632/fgtjh3ddbc.1
title: Modelos Digitales de Elevación de Alta Resolución LiDAR E14A39E1, con resolución de 5m. Superficie. INEGI.

description: Modelos Digitales de Elevación de Alta Resolución LiDAR , con resolución de 5m. Superficie.
DOI: 10.17632/kw34hhw7xg.2
title: Battery Degradation Dataset (Fixed Current Profiles＆Arbitrary Uses Profiles)

description: 77 nominally identical high-energy 18650 lithium-ion batteries are cycled with fixed or arbitrary uses current profiles. 22 batteries are cycled with fixed current profiles of charge current (1C, 2C, or 3C) and discharge current (1C, 2C, or 3C). 55 batteries are cycled with arbitrary uses profiles of charge current (obeys a uniform distribution among 1C, 2C, or 3C, and changes randomly every 5 cycles) and a specified discharge current (3C).
DOI: 10.17632/fgb3cmfrg2.1
title: Sorghum Disease Image Dataset

description: The dataset comprises 7167 JPEG images of Sorghum diseases, intended to support research in agricultural disease detection and plant pathology. Sorghum, a flowering plant in the grass family cultivated for its grain, faces various diseases that can impact crop yield and quality. The dataset includes images of five major diseases: Anthracnose and Red Rot, Cereal Grain Molds, Covered Kernel Smut, Head Smut, Loose Smut, and Rust, each characterized by distinct symptoms such as leaf spots, mold growth, and pustules on leaves and stems. This collection is valuable for plant pathologists, agricultural researchers, and machine learning practitioners aiming to develop automated disease detection models, as well as for educational purposes in plant sciences and agriculture.
DOI: 10.17632/vwpt8k9hvw.1
title: Pseudo-kebnorization of Leprosy: A Unique Phenomenon from Mpox Virus Co-infection

description: Supplementary Figure 1. Clinical photographs of a 38-year-old female with multiple pink, tender dome-shaped indurated papulovesicles scattered on the face (A) and arms (B) in the emergency room.
DOI: 10.17632/gxgj4kmsvz.1
title: Queries to identify climate change research that takes an engineering approach

description: This dataset was created as part of work conducted for the NSF Engineering Research Visioning Alliance's inaugural Visioning Event, entitled "The Role of Engineering in Addressing Climate Change".

The dataset is composed of <ol><li>four text (.txt) files, each containing a single query used to identify research relevant to climate change; and</li>
<li>three comma-separated values (.csv) files including information about how engineering research was defined.</li></ol>The goal of this work was to conduct bibliometric analyses aimed at better understanding the role engineering plays in climate change research. To do so, the set of documents returned from the climate change queries was crossed with the set of documents returned from the engineering query.

Files 01 through 04 each contain a single Scopus query that aims to capture either general climate change research (01) or specific topics of interest within climate change research (02-04). These are queries that could be run using the scopus.com advanced document search feature.

Given engineering is a broad field, keyword-based queries were not an efficient way to capture all relevant articles. Instead, three complementary classification schemes were used to capture this research. The following files summarize which parts of the classification schemes were mostly engineering-focused. An effort was made to keep this publication set maximally inclusive, such that it also includes some wider applied research subfields.

File 05a contains the All Science Journal Classification (ASJC) classes that were identified as being engineering for the purpose of this project. The ASJC is a journal-level classification, which means that all articles from a given journal are classified in the same subject area(s). A complete list of ASJC codes can be found <a href = "https://service.elsevier.com/app/answers/detail/a_id/15181/supporthub/scopus/" target="_blank">here</a>.

File 05b refers to Science-Metrix (SM) subfields identified as being engineering. The SM classification is also made at the journal-level, but articles from multidisciplinary journals such as Science or Nature are reclassified at the article level by a machine learning model (<a href = "https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0251493" target="_blank">Read the article here</a>), allowing us to capture more articles than using ASJC alone.

File 05c refers to the SciVal Topics that were included in the engineering publication set. Topics are collections of documents that share a common intellectual interest, as identified through their direct citation patterns. For a high-level description of SciVal Topics, see <a href = "https://www.elsevier.com/solutions/scival/features/topic-prominence-in-science" target="_blank">this page</a>. A detailed description of the methodology used to create Topics is also available in <a href = "https://onlinelibrary.wiley.com/doi/abs/10.1002/asi.22748" target="_blank">this article</a>.
DOI: 10.17632/83crdhyz4j.1
title: NuSol — Numerical solver for the 3D stationary nuclear Schrödinger equation

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract The classification of short hydrogen bonds depends on several factors including the shape and energy spacing between the nuclear eigenstates of the hydrogen. Here, we describe the NuSol program in which three classes of algorithms were implemented to solve the 1D, 2D and 3D time independent nuclear Schrödinger equation. The Schrödinger equation was solved using the finite differences based Numerov’s method which was extended to higher dimensions, the more accurate pseudo-spectral Chebyshev c... Title of program: NuSol Catalogue Id: AEXO_v1_0 Nature of problem Solving the 3D nuclear Schrödinger Equation Versions of this program held in the CPC repository in Mendeley Data AEXO_v1_0; NuSol; 10.1016/j.cpc.2015.08.023
DOI: 10.17632/687jb4v9zg.1
title: On intercultural dimension of internationalization of higher education and intercultural learning in formal and non-formal education: the experts’ views from Italy and Ukraine

description: This research was intended  to contribute to a deeper understanding of intercultural dimension of internationalization of higher education  and intercultural learning through the perception of policy-makers, representatives of higher education and civil society sectors from Italy and Ukraine. Both countries stive to become more open to the outer world and help their citizens to live and work in the global context.  More specifically we have attempted to study if internationalization has operated a shift towards qualitative learning objectives, making universities to focus on intercultural learning within the internationalization process. Universities in both countries strive to be internationally highly ranked and to have numerous international studentship, however they form different multicultural contexts, ways to institutional policy and practice, have different internationalization strategies, different traditions of cultural and language homogeneity in education systems. The cases provided from Italy and Ukraine will illustrate how the policies of internationalization cultivate the intercultural awareness. This is not intended to be a comparison between the two countries but rather as a snapshot of the ways internationalization agendas enhance cosmopolitan outlook of the academia in different locations. Under the complexity of the globalized world it is an urgent need to draw attention at the historical mission of the university education  concerning the formation of globally aware citizens. Challenges of globalization today continue to increase pressure for the education to change curriculum and learning environment in order to educate young generation to be capable to live and work in culturally diverse society. The research idea is to examine whether the internationalization of higher education  stimulates  the universities to fulfill this mission. The present research examines how these discourses interact with internationalization of higher education, taken particular universities in Italy and Ukraine as the research sites. The intercultural/global discourses are complex phenomena represented through various ideas and practices, hence they can be understood differently  in different places, by different people, and also may lead to different outcomes. The research is done as a comparative study in two countries: Italy and Ukraine. The higher education institutions in both countries strive to be internationally highly ranked and to have numerous international studentship, however they form different multicultural contexts, ways to institutional policy and practice, have different internationalization strategies, different traditions of cultural and language homogeneity in education systems. The cases provided from Italy and Ukraine will illustrate how the policies of internationalization of higher education at national and institutional levels meet the stated above challenges.
DOI: 10.17632/242whtdt3m.1
title: A Twitter Dataset for Monkeypox, May-Dec, 2022

description: The number of Monkeypox infections is increasing around the globe. The world has not recovered from damages caused by COVID-19 pandemic yet, and could not bear another catastrophe. Therefore, it is very important to contain Monkeypox outbreak. This dataset includes 2400202 tweet ids and user ids gathered using Twitter API Academic researcher account and with keywords monkeypox or “monkey pox” or “viruela dei mono” or “variole du singe” or “variola do macoco”. The dataset includes all the geotagged and non-geotagged tweets posted during the Monkeypox outbreak of 2022, from May first to December twenty-fifth, 2022, and from anywhere in the world. Each row in the dataset is associated to a different tweet. The dataset includes two columns, TweetID and AuthorID. TweetID provides the id of the tweet and AuthorID provides the id of the user who posted the tweet. The first row of the dataset is the header.
Twitter is increasingly becoming popular among people for sharing ideas, opinions, concerns, and experiences. Previously, Twitter has successfully been used by researchers in different areas of study. This dataset is made available to researchers to study various aspects of Monkeypox such as trend prediction, stigmatization of minor and marginalized populations, misinformation and fake news detection, and hotspot identification to help control the outbreak.
DOI: 10.17632/rrs7ctswft.2
title: RGB and Multispectral images dataset ( Álamos, Sonora)

description: The extension of land that we sought to observe belongs to the area of influence of the Eddy Covariance System (around 7.5 ha), installed in a dry tropical forest in secondary ecological succession (27.00598005º N and -108.77913821º W) within El Area Natural Protegida Sierra de Alamos-Rio Cuchujaqui, Sonora, Mexico.
DOI: 10.17632/svx74xcrjr.3
title: A public dataset of overground walking kinetics and full-body kinematics in healthy adult individuals

description: The dataset comprises raw kinetic and full-body kinematic data (both in .c3d and .tsv) of 57 healthy subjects (29 females, 28 males; M age: 23.1 years, SD 2.7; M body height: 1.74 m, SD 0.10; M body mass: 67.9 kg, SD 11.3; M body mass index: 22.2 kg/m², SD 2.0) during overground walking. All subjects were without gait pathology and free of lower extremity pain or injuries. The .c3d files are named in the following format: S{subject_id}_{trial number}_{static/gait}.c3d. Separate text files were generated for the kinematic marker trajetories {.tsv} and kinetic force signals of the first {_f_1.tsv} and second {_f_2.tsv} force plate. When using (any part) of this dataset, please cite this dataset and the original article: Horst, F., Lapuschkin, S., Samek, W., Müller, K.-R., & Schöllhorn, W. I. (2019). A public dataset of overground walking kinetics and full-body kinematics in healthy individuals. Mendeley Data, v2. http://dx.doi.org/10.17632/svx74xcrjr.2 Horst, F., Lapuschkin, S., Samek, W., Müller, K.-R., & Schöllhorn, W. I. (2019). Explaining the unique nature of individual gait patterns with deep learning. Scientific Reports, 9, 2391. https://doi.org/10.1038/s41598-019-38748-8 Please feel free to send us your technical questions, requests and bug reports by email: horst@uni-mainz.de
DOI: 10.17632/zktjjx93sv.1
title: Health literacy data

description: This data is about cross-culturally adapting the short 16-item version of HLS-EU and assessing the psychometric properties of both the 16- and 6-item versions.
DOI: 10.17632/rhh5rpvxhd.1
title: Intergrated Multi-omics Sequencing Reveals Metabolic Reprograms in the Progression of ccRCC_spatial_multiome

description: 100 samples from treatment-naive ccRCC patients and 50 matched normal adjacent tissues (NATs) were profiled with whole exon sequencing (WES), whole transcriptome sequencing (WTS), data-independent acquisition (DIA)-based proteome and untargeted metabolome technology to identify the general molecular characteristics of the TJ-RCC cohort. Single-nucleic RNA sequencing, single-nucleic multiome, spatial transcriptome and spatial metabolome were performed on part of these 100 tumors to detail the ITH inside ccRCC.
DOI: 10.17632/dswjcrbs92.1
title: Repeat RNA infection

description: Aberrant expression of repeat RNAs in pancreatic ductal adenocarcinoma (PDAC) mimic viral-like responses with implications on tumor cell state and the response of the surrounding microenvironment. To better understand the relationship of repeat RNAs in human PDAC, we performed spatial molecular imaging at single cell resolution in 46 primary tumors revealing correlations of high repeat RNA expression with alterations in epithelial state in PDAC cells and myofibroblast phenotype in cancer-associated fibroblasts (CAFs). This loss of cellular identity is observed with dosing of extracellular vesicles (EVs) and individual repeat RNAs of PDAC and CAF cell culture models pointing to cell-cell intercommunication of these viral-like elements. Differences in PDAC and CAF response are driven through distinct innate immune signaling through interferon regulatory transcription factor 3 (IRF3). The cell context specific viral-like responses to repeat RNAs provides a mechanism for modulation of cellular plasticity in diverse cell types in the PDAC microenvironment.
DOI: 10.17632/59hdwfktvt.3
title: Replication Files for "Sorting out the Effect of Credit Supply"

description: Replication Files for "Sorting out the Effect of Credit Supply", Journal of Financial Economics
DOI: 10.17632/c5s76mj4bm.5
title: Mine4.0 - MineCareerDB : A mining career dataset

description: MineCareerDB is a carefully curated dataset intended for mining career analysis, offering a multidimensional perspective on the Benslimane mining site. The dataset is primarily composed of 373 high-resolution images captured using an RGB Camera FC6310 mounted on the DJI Phantom 4 Pro drone. These images provide a detailed visual representation of the mining environment, enabling a comprehensive examination of various aspects related to mining operations.
Along with the images, MineCareerDB contains a vast amount of additional data that can improve the usefulness of the dataset. The dataset comprises point cloud 3D representations of the mining career, which offer a three-dimensional spatial comprehension of the terrain. This information plays a crucial role in volumetric analysis, terrain modeling, and detecting changes over time.
There are various file formats available for the 3D format of a career. These formats include LAS, XYZ, and text. They make it easy to integrate data with different software and tools that professionals and researchers can use in different applications. LAS is used to store point cloud data, while XYZ represents coordinates of points. The text format shows the 3D data in a human-readable way. Additionally, there is a DEM file that contains elevation data for the entire mining area. This file is essential for terrain analysis, allowing for the extraction of elevation profiles, slope calculations, and other geospatial analyses.
In summary, MineCareerDB offers a vast collection of high-quality images, both in high-resolution and 3D representations in various formats, along with a DEM file. This diverse range of data types provides researchers, geospatial analysts, and mining experts with valuable insights into the Benslimane mining industry from multiple angles and dimensions.
DOI: 10.17632/rdwn4bs5ky.1
title: BANSpEmo: A Bangla Language Emotional Speech Recognition Dataset

description: For languages with low resources like the Bangla language, BANSpEmo is the third audio dataset for emotional speech recognition (SER). BANSpEmo consists of 792 utterance recordings of six basic emotional reactions of two sets of sentences. Each set has six sentences. Speakers are explained the emotional states and utterances are recorded in a more realistic way than just reading the sentences. These emotional states are Disgust (বিতৃষ্ণা),  Happy (খুশি),  Sad (দুঃখজনক), Surprised (বিস্মিত), Anger (রাগ), Fear (ভয়). The produced corpus includes voice recordings from 22 unprofessional speakers, 11 of whom are male and 11 of whom are female. The audio recording was for two sets of sentences.