cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/zz8hpyx939
title: Run-to-failure vibration dataset of self-aligning double-row ball bearings - PART 2

description: Data sourced from actual operational systems constitutes a pivotal asset for scholarly investigations in the domain of machine diagnostics and prognostics. The exigency for such data has witnessed a notable surge in recent times, primarily propelled by the burgeoning interest in prognostic methodologies and the advancement of artificial intelligence (AI) technologies tailored for predictive maintenance applications. When harnessed for fault detection and prognostic endeavors, data must inherently possess the capacity to furnish insights into the degradation phenomena inherent to machinery. Moreover, a fundamental aim of prognostics entails the anticipation of the remaining useful life (RUL), a task necessitating substantial datasets for the application of data-driven techniques or the validation of physics-based models.

Bearings, being subjected to a diverse spectrum of loads and fatigue stresses, carry the potential for catastrophic failure, thereby impacting the operational integrity of entire machinery systems or industrial plants. 

The Department of Engineering at the University of Ferrara has undertaken an extensive experimental campaign aimed at documenting the temporal evolution of vibration signals over the lifecycle of self-aligning double row rolling element bearings. Six accelerated run-to-failure trials were conducted, during which acceleration signals were continuously captured utilizing a uniaxial accelerometer. Concurrently, a radial load was imposed on the bearing housing and regulated via a load cell. Ensuring consistency, the shaft speed was maintained at a constant level, facilitated by an electric motor actuated by an inverter.

The resultant dataset encapsulates acceleration signals along the radial axis spanning the entirety of the experimental tests, thereby offering a valuable resource for both scholarly inquiry and industrial applications alike.

This dataset provides the Part 2 of data collected during the experimental campaign.
Data is provided in .mat format and each file contains two variables: the acceleration signal in radial direction and the sampling frequency.
DOI: 10.6084/m9.figshare.14761836.v2
title: Instance Space Analysis for the Maximum Flow Problem: metadata and source codes

description: Metadata and source codes to explore the instance space of the maximum flow problem online.
DOI: 10.6084/m9.figshare.26566873.v1
title: <b>A Survey on Telecommunication Companies Performance with Government Regulations as Moderator</b>

description: A total of 428 responses were collected from telecom companies’ users in Pakistan. Using the structural equation modeling technique, responses were analyzed.
DOI: 10.17632/kfzyp9hnzb
title: MATLAB-Simulated Dataset for Automatic Modulation Classification in Wireless Fading Channels

description: This dataset contains feature-extracted numerical representations of five digital modulation schemes—BPSK, QPSK, 16-QAM, 64-QAM, and 256-QAM—generated under Rayleigh and Rician fading channels at different sampling frequencies (1 MHz, 10 MHz, 100 MHz, 500 MHz, and 1 GHz). The dataset consists of 10 CSV files, each corresponding to a unique combination of channel conditions and sampling rates. A separate folder contains MATLAB scripts for dataset generation, ensuring reproducibility and enabling customization according to user requirements.
The modulation signals were generated and transmitted through Rayleigh and Rician fading channels to simulate real-world wireless conditions. Each received signal underwent feature extraction through three primary approaches:
1. Signal Processing-Based Features – Extracted from both time and frequency domains, capturing statistical properties (mean, variance, skewness), spectral attributes (FFT-based spectral centroid, flatness, phase-based metrics), and signal measures (RSCR, PAPR, SCF). These features provide a comprehensive representation of modulation characteristics for classification and analysis.
2. Spectrogram-Based Features – Derived from the time-frequency representation of signals using STFT. Statistical measures (entropy, variance, skewness, kurtosis), spectral attributes (centroid, spread, flatness), and amplitude-based features (contrast, homogeneity, range) were extracted to quantify spectral energy distribution and signal consistency.
3. Image Processing-Based Features – Utilizing Binary Robust Invariant Scalable Keypoints (BRISK), Maximally Stable Extremal Regions (MSER), and Gray-Level Co-occurrence Matrix (GLCM) techniques to analyze spectrogram-based signal representations.
Each dataset file contains 202 extracted features, providing a high-dimensional numerical representation of modulation signals.
The dataset holds significant value across multiple domains, particularly in machine learning and deep learning, where it facilitates modulation classification using ML/DL models to develop robust classifiers for wireless communication systems. In wireless signal processing, researchers can utilize the extracted features for channel estimation, adaptive modulation, and interference analysis. Additionally, the dataset is highly relevant for cognitive radio and LTE/5G research, supporting spectrum sensing, signal recognition, and intelligent radio technologies. It also serves as a benchmarking resource for testing feature selection methods, dimensionality reduction techniques, and classification algorithms, making it a valuable asset for both academic and industrial applications.
DOI: 10.23645/epacomptox.5588578.v2
title: Chemistry Dashboard Data: Physprop Analysis

description: The data associated with the publication “An automated curation procedure for addressing chemical errors and inconsistencies in public datasets used in QSAR modeling” represents the curated data associated with the OPERA models used to predicted properties for the CompTox Chemistry Data. The data include the training and test data sets as well as the KNIME workflows used to perform the curation of the data. For a full understanding of the data and workflows we recommend accessing the publication also.
DOI: 10.6084/m9.figshare.19114961.v2
title: P3HT ground state

description: 3D coordinates of coarse grained P3HT 48mers in ground state
DOI: 10.6084/m9.figshare.28280021.v1
title: Sogou Chinese News Text Classification Dataset

description: The Sogou corpus is a widely used Chinese text classification dataset, sourced from Sogou News, containing 17,910 text samples. It covers multiple news categories, providing comprehensive support for text classification tasks across various domains, making it suitable for multi-scenario text mining research. The Sogou corpus is characterized by a balanced distribution of text samples across different categories.
DOI: 10.6084/m9.figshare.28299398.v1
title: SI_table_4_raw_array_data.csv

description: Raw data containing polyclonal antibody binding reactivities to a total of 126,051 randomly designed peptides sequences on planar arrays.
DOI: 10.25442/hku.28889828.v1
title: Supporting data for "Functionalization and Mechanistic Study of Polynuclear Gold(I) Chalcogenido Clusters ‒ From Photophysics to Cluster-to-Cluster Transformation"

description: The research projects are about functionalizing and studying the underlying mechanism of the photophysical properties of polynuclear gold(I) chalcogenido clusters. The crystal structures of the clusters were determined by X-ray crystallography and the clusters were characterized by NMR spectroscopy. Moreover, the photophysical properties of the clusters were measured by UV-vis absorption and emission spectroscopy, and investgated by density functional theory (DFT) calculations.
DOI: 10.6084/m9.figshare.27037327.v1
title: Gene annotation files of Matricaria chamomilla

description: Gene annotation files of Matricaria chamomilla.
DOI: 10.6084/m9.figshare.23702121.v1
title: Tacit Knowledge management Dataset.csv

description: This dataset is a study aimed to investigate the impact of tacit knowledge management systems (TKM) on organizational performance (OP) among Ghanaian small and medium enterprises (SMEs), addressing the function of employee performance (EP) and Job Satisfaction (JS) building on the knowledge-based viewpoint (KBV).
DOI: 10.25946/28934543.v1
title: Go to bed! A systematic review and meta-analysis of bedtime procrastination correlates and sleep outcomes.

description: Dataset includes meta-analysis data and scripts, and systematic review findings
DOI: 10.6084/m9.figshare.19778527.v1
title: SEC Filings as Reported

description: We provide the financial as reported dataset parsed directly from SEC form 10-K and 10-Q from 2010 to 2021. We hope this dataset will help researchers bootstrap their ideal. <br> About us: AlphaResearch is a financial service company located in New York, our flagship product Edgar company search allow investors to locate exact datapoint from millions of SEC filings. You can start searching for form 10-k, from 10q, and form 13f filings now.
DOI: 10.6084/m9.figshare.21931131.v1
title: Batoon et al_CDD_2023_Figshare.xlsx

description: This dataset contains raw data validating the fucntionality of the novel iCasp9 mouse through in vitro and in vivo experimentation. The data are formally presented in the manuscript entitled "Caspase-9 driven murine model of selective cell apoptosis and efefrocytosis".
DOI: 10.6084/m9.figshare.24669306.v1
title: Satellite-based Near-Real-Time Global Daily Terrestrial Evapotranspiration Estimates

description: Timely global terrestrial evapotranspiration (ET) data are vital for water resource management and drought forecasting. This study introduces VISEA algorithm, which integrates satellite data and shortwave radiation to provide daily 0.05° gridded near-real-time ET estimates. By employing a vegetation index-temperature method, this algorithm can provide ET estimates without requiring additional data. Evaluation results show VISEA's comparable accuracy with accelerated data availability. This dataset contains the figures of the manuscript of: Satellite-based Near-Real-Time Global Daily Terrestrial Evapotranspiration Estimates
DOI: 10.6084/m9.figshare.9275000.v1
title: Age-related changes to macrophages_supplemental raw data

description: Bulk RNA-seq data set of macrophages isolated from the fracture callus (3 days post fracture) of old (24 month), young (3 month), and old treated with PLX3397 mice (C57B6/J).<br>Stereology data of fracture calluses in old (24 month), old treated with PLX3397, and young (3 month) mice. Fracture calluses isolated 10 days after fracture and processed in paraffin for histology. Slides stained with HBQ and volume of bone, cartilage, and total callus was calculated.<br><br>Full methodological descriptions are presented in the published manuscript.
DOI: 10.17632/z42hdtdmbm
title: Mammal Species Inventory: Mountain Zebra National Park Report 1: October 2017 to November 2019 

description: SnapshotSafari is a transnational program aiming at providing a greater knowledge about mammal populations accross southern Africa. Thanks to standardized camera traps (CTs) grid, deployed in various locations reflecting a diversity of conservation states (from protected areas to highly transformed areas), SnapshotSafari aims at describing mammal population abundances, diversities and spatial occurrences. The data provided will benefit Research, in fields as broad as Genetics, Ecology or conservation Biology, as well by providing to conservation planning a comprehensive synthesis of which species can be found in their location, with which abundance...etc.

The project is coordinated in South Africa by Nelson by Mandela University’s Wildlife Ecology Lab. The images collected by the CTs (as much as thousands per site) are sent to the United States (University of Minnesota) to be processed via a participative science plateform (Zooniverse) and machine learning (a popular IT field that allows automatized recognition of elements in an image, for instance antelopes in a landscape photo).
DOI: 10.6084/m9.figshare.14531724.v1
title: 16S_rRNA_Microbiome_Datasets

description: Raw tables for each dataset used in this manuscript.
DOI: 10.6084/m9.figshare.23804199.v1
title: The Impact of social sharing and destination quality on tourist behavior in the Recovery of China’s Tourism.sav

description: The objective of this study is to update existing research to discover Chinese tourists' emerging travel needs after the relaxation of borders and to explore what kind of social media posts and services a destination that can attract more attention and ultimately be able to bring economic benefits.The questionnaire consisted of questions corresponding to each of the seven constructs, (i) top opinion leader (TOL), (ii) images (I), (iii) hygiene and safety (HS), (iv) financial promotion (MP), (v) integrated social app (ISA), (vi) travel interest (TI), and (vii) purchase intention (PI), that appear in the conceptual model (Table 3), as well as four demographic questions related to age, gender, job, and travel experience. On March 29, 2023, the survey links were distributed through WeChat, QQ, Weibo, and Xiaohongshu, popular instant messengers and social media in China, to reach as many respondents as possible. Until May 19, 2023, the questionnaire collection was completed, with 500 responses collected.
DOI: 10.6084/m9.figshare.5103277.v1
title: Fig5d_6f_07082016

description: Metabolomic analysis of Lactate on HFSCs isolated from UK-5099 and RCGD423 treated skin for 48 hours.
DOI: 10.17632/bgxvjg8k4d
title: IPO Underpricing

description: Common stock underpricing in IPOs of emerging economies
DOI: 10.6084/m9.figshare.23808174.v3
title: A chromosome-scale and haplotype-resolved genome assembly of carnation (Dianthus caryophyllus 'Aili')

description: <i>Dianthus caryophyllus</i> is an economic species often considered excellent cut flowers and is suitable for bouquets and gardens. Here, we assembled the haplotype-resolved genome of <i>D. caryophyllus</i> ‘Aili’ at the chromosome level for the first time. The total lengths of the two assembled haplotypes of carnation were 584.88 Mb for haplotype genome 1 (hap1) and 578.78 Mb for haplotype genome 2 (hap2), respectively. We predicted a total of 44,098 and 42,425 protein-coding genes, respectively.
DOI: 10.6084/m9.figshare.26009491.v1
title: source date.xlsx

description: water harvesting
DOI: 10.6084/m9.figshare.19746064.v2
title: Parkinson et al 2022 data

description: Each file name describes the figure from the paper Parkinson et al 2022 Temporal responses of bumblebee gustatory neurons to sugars that the dataset corresponds to.
DOI: 10.6084/m9.figshare.26201147.v1
title: Teacher support, trait emotional intelligence, L2 grit, and English academic achievement of Chinese high school students: A structural equation modeling analysis

description: The present study aims to examine the joint effect of learners' internal positive personality traits (i.e., trait emotional intelligence, and L2 grit) and external learning environment (teacher support) on their English academic achievements.
DOI: 10.6084/m9.figshare.23815776.v1
title: References.docx

description: References
DOI: 10.6084/m9.figshare.25440196.v1
title: <b>Supporting Data for "Haplotype-resolved genome of lemongrass (</b><b><i>Cymbopogon flexuosus</i></b><b>) provides multi-omic resources and insights into volatile terpenoid metabolism"</b>

description: <b>Supporting Data for "Haplotype-resolved genome of lemongrass (</b><b><i>Cymbopogon flexuosus</i></b><b>) provides multi-omic resources and insights into volatile terpenoid metabolism"</b>
DOI: 10.6084/m9.figshare.20496165.v1
title: RawReads.zip

description: Horse Nemabiome Raw Reads
DOI: 10.6084/m9.figshare.25817089.v1
title: <b>Disentangling small island ecological multilayer networks: relationships with ecological and evolutionary island patterns</b>

description: Multilayer networks facilitate the integration of multiple interaction types by quantifying the per capita effects of species on each other, thereby advancing our understanding of the intrinsic complexity of natural food webs. Using a multilayer network framework, this study provides the first food web data for a small oceanic island (Montaña Clara, Canary Islands) and compares it with available data from another small island of continental origin in the context of island biogeography theory. During the two most contrasting seasons, we collected data on interactions between plants and their pollinators, herbivores, seed dispersers, and saprotrophic, symbiotic and pathogenic root-associated-fungi. Pollination, herbivory and seed dispersal were sampled via flower visitation census, direct observation, and faecal analysis, respectively, while fungi were identified using DNA metabarcoding. We identified 64 animal species and 367 fungal amplicon sequence variants (ASVs) interacting with the 13-plant species sampled. Five plant species (38%) showed the highest values of multilayer versatility (&gt; 0.5), indicating they are the most important for the structure of the ecosystem. A total of 23 modules were detected, more than half of which were restricted to a single type of interaction, and approximately 73% of the species switched modules between pairs of interaction types. Comparing the results with those from the continental island, the oceanic shows a simpler network, higher overall versatility and a less modular structure. These results are consistent with ecological and evolutionary predictions from island biogeography theory. Future studies involving different interaction types and conducted on islands with different traits, such as taxonomical/functional disharmony, density trade-offs, or interaction release, will allow for the assessment of the generality of the observed patterns.
DOI: 10.6084/m9.figshare.23154923.v5
title: Datafiles for C. fasciculata adaptation study

description: These are all of the datafiles use to produce the figures and data reported in the C. fasciculata adaptation manuscript
DOI: 10.6084/m9.figshare.25093262.v1
title: Labrador Sea gridded fields and time series

description: The files are being constantly updated. Please contact the author (Labrador.Sea@gmail.com; Igor.Yashayaev@dfo-mpo.gc.ca) for the latest versions.
DOI: 10.6084/m9.figshare.3547722.v1
title: Appendix A. Derivations of Eqs. 3, 4, 5, and 6.

description: Derivations of Eqs. 3, 4, 5, and 6.
DOI: 10.6084/m9.figshare.3563580.v1
title: Appendix B. Detailed isotope mixing model outputs and tabulated fatty acid profiles for sources and consumers.

description: Detailed isotope mixing model outputs and tabulated fatty acid profiles for sources and consumers.
DOI: 10.17870/bathspa.11549286.v1
title: Cold War Anglia - Works Produced: Paintings and Drawings

description: <i>Cold War Anglia </i>was a research project that aimed to explore how the Cold War impacted not only on the landscape but also on the local communities of East Anglia and the significance of the region’s role in the conflict. The research was articulated through a series of paintings, drawings and photographs as well as a public lecture.<br><br>This item contains paintings and drawings made in response to the research.<br>Images courtesy of the artist Rosie Snell. <br><b>The work is under copyright and may not be used without permission. Use of this repository acknowledges cooperation with its policies and relevant copyright law.</b><br><br>
DOI: 10.15468/dl.3qzx6t
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holtbyrnia innesi (Fowler, 1934)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((44.9648 10.8496,35.9648 10.8496,35.9648 1.8496,44.9648 1.8496,44.9648 10.8496))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013434-250525065834625/datasets/export for details.
DOI: 10.17632/499vtcykvw
title: COVID-19 Datasets for predicting the number of new cases of COVID-19 ahead of 1 day, 3 days, and 10 days

description: Four datasets are presented here. The original dataset is a collection of the COVID-19 data maintained by Our World in Data. It includes data on confirmed cases, and deaths, as well as other variables of potential interest for ten countries such as Australia, Brazil, Canada, China, Denmark, France, Israel, Italy, the United Kingdom, and the United States. The original dataset includes the data from the date of 31st December in 2019 to 31st May in 2020 with a total of 1.530 instances and 19 features. This dataset is collected from a variety of sources (the European Centre for Disease Prevention and Control, United Nations, World Bank, Global Burden of Disease, Blavatnik School of Government, etc.). After the original dataset is pre-processed by cleaning and removing some data including unnecessary and blank. Then, all strings are converted numeric values, and some new features such as continent, hemisphere, year, month, and day are added by extracting the original features. After that, the processed original dataset is organized for prediction of the number of new cases of COVID-19 for 1 day, 3 days, and 10 days ago and three datasets (Dataset-1, 2, 3) are created for that.
DOI: 10.6084/m9.figshare.19228422.v1
title: DedA

description: I-Tasser was used to construct this <i>Neisseria gonorrhoeae</i> DedA model using the hm_build and hm_refine macros. The sequence used to create this model corresponds to <i>dedA </i>allele 469 (https://pubmlst.org/bigsdb?db=pubmlst_neisseria_seqdef&page=alleleInfo&locus=NEIS1016&allele_id=469), which is the allele occurring in isolate SRR3360624 (Archived in The Sequence Read Archive at National Center for Biotechnology Information Search database (NCBI SRA) with Accession ID SRR3360624 and in the <i>Neisseria </i>PubMLST database with accession ID 48638). This model is used in the manuscript "A naturally occurring <i>Neisseria gonorrhoeae</i> without a functional <i>abcZ </i>gene" by Hilde Synnøve Vollan, Dominique A. Caugant, Vegard Eldholm, Kristian Alfsnes, Nadia Debech and Ola Brynildsrud.
DOI: 10.6084/m9.figshare.28968977.v13
title: Syllogistic reasoning pdf v1-2-3-4 NEW

description: Logic and being
DOI: 10.6084/m9.figshare.1328600.v3
title: Northwest Greenland WorldView DEMs

description: Original filelist of WorldView stereo pairs which were then processed through the Ames Stereo Pipeline to create high resolution digital elevation models (DEMs). These high resolution DEMs were then downsampled to 30 m resolution for comparison with Landsat 8-derived supraglacial lake depths. See Willis et al. (Nature, see links) for more DEM examples, Pope et al. (The Cryosphere) for presentation of data and results and Pope et al. (Computers and Geosciences) for code/method documentation.