cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14317251.v1
title: Risk Factors for Urinary Incontinence in Pregnancy: A Case Control Study

description: Abstract Objective Urinay incontinence (UI) is amajor public health problemthat can harm women in any period of life, including during the gestational period. Urinary incontinence during pregnancy has been studied because this condition can reduce the quality of life and interfere in several aspects of the maternal-fetal binomial. The aim of this study was to determine the prevalence of UI in nullipara pregnant women and to identify risk factors associated with UI in this population. Methods This is a case-control study in which we invited nullipara women between 12 and 20 weeks of pregnancy to participate in the research. They were asked to answer a specific questionnaire, write a 3-day bladder diary, and undergo a urogynecological evaluation including pelvic organ prolapse quantification (POP-Q), empty stress supine test (ESST), and pelvic floor muscle assessment. Results A total of 70 out of 73 patients accepted to participate in the study, and the prevalence of UI in this population was 18.3%. Tobacco use was identified as an independent risk factor for UI in pregnant women (odds ratio 8.0). All other factors analyzed were not significantly associated to UI in pregnancy. Conclusion Urinary incontinence can be a major problem in pregnancy.We identified the use of tobacco as a risk factor for developing UI in pregnancy, which provides an extra reason to encourage patients to quit smoking.
DOI: 10.6084/m9.figshare.28348796.v1
title: <b>Poor sleep patterns are associated with the prevalence of benign prostatic hyperplasia in US aged 40 and older : a cross-sectional study based on NHANES</b>

description: <b>B</b><b>ackground</b>The connection between sleep patterns (sleep duration, trouble sleepingand sleep disorders) and benign prostatic hyperplasia, commonly referred to as BPH, is not yet clear. Our aim is to investigate the impact of sleep patterns on BPH risk in USmen aged 40 and older.<b>Methods</b>We performed an observational analysis using data from NHANES 2005-2008 on males aged 40 and up, including a total of 2,555 participants. After accounting for confounding variables, we applied weighted multivariable logistic regression to assess the relationship between sleep patterns and BPH riskaccording to the complex multi-stage sampling design of NHANES.<b>Results</b>In this study, 11.79% of the 2,555 American participants aged over 40reported to have BPH. after adjusting for confounding variables, multivariable logistic regression analysis showed that short sleep duration, compared to healthy sleep duration (7-9 hours), was linked to a significantly higher risk of BPH(OR: 1.92, 95% CI: 1.42-2.41). Trouble sleepingand sleep disorder were also strongly associated with BPH. Moreover, there appears to be a stronger association among those with poor sleep patterns(OR: 2.07, 95% CI: 1.46-2.91).<b>Conclusion</b>Poor sleep pattern in men over 40 in the U.S. is significantly linked to a higher incidence of benign prostatic hyperplasia.
DOI: 10.6084/m9.figshare.29047097.v1
title: HRV and Antropometrical Dataset

description: <br><b>Background</b> This study aimed to examine the changes in physical and physiological conditions in elite wrestlers from the Turkish National Wrestling Team, who experienced 14 weeks of restricted physical activity during the COVID-19 lockdown, followed by an 8-week period of retraining and competition.<b>Methods </b>Twenty male elite wrestlers from the National Greco-Roman Wrestling Team participated in the research. Heart Rate Variability values were measured during the training cessation period and for 8 weeks of subsequent training and then interpreted for training periods with different workloads. Body fat percentage values, initially measured during training cessation, were recorded at 2-week intervals during the training period. To determine the fitness status of wrestlers, the Specific Wrestling Fitness Test was used before and following the 8 weeks of training period.<b>Results </b>A gradual decrease in both body fat percentage and weight observed throughout the course of the training period. The SWFT scores showed significant improvements (31.40 ±2.91 vs. 37.40 ±3.22) following the training period. Heart rate variability decreased during the detraining period, progressively improved throughout the 8-week retraining, and subsequently declined during the competition phase, reaching levels similar to those observed during training cessation.<b>Conclusions </b>Our results suggests that athletes undergo identical reactions in their autonomous nervous system during both competition and training cessation period. Obtaining a comprehensive understanding of these changes can enable coaches and athletes to make accurate decisions in order to optimize training adaptations and attain overall athletic success. Furthermore, over a period of eight weeks following a long non-training period, significant improvements in athletes' body fat, muscle mass and wrestling performance can be achieved along with training. Moreover, HRV monitoring revealed that autonomic nervous system balance was compromised during both the detraining and competition phases, underlining the need for careful training load management to optimize recovery and performance readiness.
DOI: 10.6084/m9.figshare.4290998.v1
title: GRID release 2016-12-06

description: <br>Institutes added from the following sources:Grant data from the USGrant data from the UKGrant data from RussiaGrant data from NetherlandsGrant data from FranceQA:Removed duplicatesUpdated organisational structure for RIKENUpdated organisational structure for Russian Academy of SciencesUpdated organisational structure for Chinese Academy of Sciences
DOI: 10.17632/5nwygjgn36
title: Yield Stability data

description: Data for publication in Data in Brief
DOI: 10.17632/d37kcsp8jg
title: Gender-based violence: Statistical data for four Colombian municipalities

description: This set of files contains the database of the survey of gender-based violence for four municipalities in Colombia (Cali, Buenaventura, Yumbo, and Jamundí) in two formats: .dta and .csv. The base questionnaire on which the digital questionnaire was built, the dictionary of variables are also included, and biosecurity and ethics protocol.
DOI: 10.6084/m9.figshare.1265023.v1
title: Genome SC W303

description: Sequence and annotation
DOI: 10.6084/m9.figshare.19601956.v1
title: camd2022.tar.gz

description: This dataset is composed of autonomously discovered crystal structures from CAMD. 96640 distinct crystal structures with accompanying formation energy. 26,435 distinct formulas, 1,457 distinct element combinations (chemical systems). 26826 structures are less than 0.2 eV/atom above the hull, 894 are less than 0.001 eV/atom above the hull.
DOI: 10.6084/m9.figshare.29105159.v1
title: Computational quantum chemical dataset of interacting molecular pairs (IMP dataset version 1.0)

description: The Interacting Molecular Pairs (IMP) dataset includes relaxed atomic geometries (XYZ type) for individual molecules and molecular pairs, as well as quantum chemical properties extracted from the structural optimization results. The dataset for individual molecules contains the optimization results for both the chromophore and solvent (or solute and solvent, or drug-drug pairs). To enhance user convenience, we have synchronized the ID information in our dataset with the Tag information in Ref. 1, enabling seamless integration with existing experimental data. The dataset includes quantum chemical properties (in CSV format), including total energy, the HOMO-LUMO gap, HOMO energy, and LUMO energy, extracted from structural optimization calculations for individual molecules. Additionally, our dataset includes classification numbers, which clearly distinguish between solvents and chromophores (or solutes and solvents, or drug-drug pairs), and the gradient norm values, which can be used to assess the reliability of the structure optimization results. Here, E<sub>h</sub> represents the Hartree energy unit, and a<sub>0</sub> denotes the Bohr radius. The quantum chemical property data format for molecular pairs in our dataset is nearly identical to that of individual molecules. However, for molecular pairs, the extracted quantum chemical properties also include the interaction energy arising from molecule-molecule interactions. The interaction energy is defined as E<sub>molecular−pair</sub> − (E<sub>1st−molecule</sub> + E<sub>2nd−molecule</sub> ), where E<sub>molecular−pair</sub> is the total energy of the physically bound molecular pair, and E<sub>1st−molecule</sub> and E<sub>2nd−molecule</sub> denote the total energies of isolated first and second molecules, respectively. As each molecule-molecule combination has 10 different configurational geometries, the data of molecular pairs include more extensive structural optimization results than the atomic structures available for individual molecules. For the relaxed geometry for molecule pairs, structural information for the first and second molecules is also provided separately, which is expected to be very useful when generating models that predict values ​​such as interaction energy given two different molecular structures.1. Joung, J. F., Han, M., Jeong, M. & Park, S. Experimental database of optical properties of organic compounds. Sci. Data 7, 295, https://doi.org/10.1038/s41597-020-00634-8 (2020).
DOI: 10.17632/j4rt98xpy7
title: ANTIPASTI: interpretable prediction of antibody binding affinity exploiting Normal Modes and Deep Learning. Michalewicz et al.

description: PDB files (in Chothia numbering) used to train and evaluate ANTIPASTI.
DOI: 10.17632/yf5wv4dn7w
title: Calculation of long traces of γ-matrices in the dimensional regularization scheme

description: Abstract We describe the program DTRACE that is capable of calculating products of traces of γ-matrices in d dimensions. DTRACE gives the result in a form suitable as input for algebraic manipulation programs. Title of program: DTRACE Catalogue Id: ACBX_v1_0 Nature of problem The calculation of multi-particle cross section involves the calculation of long traces of Dirac matrices. Even symbolic manipulation programs are not capable of doing this because of the large number of terms. Versions of this program held in the CPC repository in Mendeley Data ACBX_v1_0; DTRACE; 10.1016/0010-4655(92)90137-N This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.6084/m9.figshare.14215850.v2
title: EmoMatchSpanishDB

description: These are the two datasets features used and described in the research paper entitled "EmoMatchSpanishDB: Study of Machine Learning Models in a New Spanish Elicited Dataset".<br>In this paper we address the task of real time emotion recognition for elicited emotions. For this purpose we have created a publicly accessible dataset composed by ﬁfty subjects expressing the emotions of anger, disgust, fear, happiness, sadness, and surprise in Spanish language. In addition, a neutral tone of each subject has been added. This article describes how this database have been created including the recording and the performed crowdsourcing perception test in order to statistically validate the emotionof each sample and remove noisy data samples. Moreover we present a baseline comparative study between different machine learning techniques in terms of accuracy, speciﬁcity, precision, and recall. Prosodic and spectral features are extracted and used for this classiﬁcation purpose. We expect that this database will be useful to get new insights within this area of study.<br>The first dataset is "EmoSpanishDB" that contains a set of 13 and 140 spectral and prosodic features for a total of 3550 audios of 50 individuals reproducing the 12 sentences for the six different emotions, ’anger, disgust, fear, happiness, sadness, surprise’ (Ekman’s basic emotions]) plus neutral.<br>The second dataset is "EmoMatchSpanishDB" and contains a set of 13 and 140 spectral and prosodic features for a total of 2050 audios of 50 individuals reproducing the 12 sentences for the six different emotions, ’anger, disgust, fear, happiness, sadness, surprise’ (Ekman’s basic emotions]) plus neutral. These 2050 audios' features are a subset of EmoSpanishDB resulting of the matched audios after application of a crowdsourcing process to validate that the elicited emotion corresponds with the expressed.<br><br>These datasets have been used in the paper "EmoMatchSpanishDB: Study of Machine Learning Models in a New Spanish Elicited Dataset" and their creation, its contents, and also a set of baseline machine learning experiments and results are fully described within it.<br>The features are available under MIT license and if you want to get access to the original raw audio files for creating your own features and research purposes you can get them under CC-BY-NC completing and signing the agreement file (EMOMATCHAgreement.docx) and sending it via email to esteban.garcia@upm.es
DOI: 10.6084/m9.figshare.19249820.v2
title: factor Feb2022 m formula.xlsx

description: Used to pull data used in the article Has the market started to collapse or will it resist?
DOI: 10.6084/m9.figshare.24418315.v1
title: Data Beluga Novel Imitation

description: This study investigates the ability to imitate novel behaviors in a young beluga whale. Using a do-as-other-does paradigm, the subject observed the performance of a conspecific demonstrator involving familiar and novel behaviors.
DOI: 10.6084/m9.figshare.28660856.v1
title: UCM 188.59 digital model and image set

description: UCM 188.59 pterosaur tracks<i>Pteraichnus </i>isp.Summerville Formation, Cactus ParkOxfordian, Upper Jurassic
DOI: 10.6084/m9.figshare.689880.v2
title: A Network Analysis of Dutch Regulations

description: This fileset contains two networks (CSV files) of citations between Dutch regulations stored on the MetaLex Document Server, at the document level, and at the article level. We ran several network analysis measures over these networks (stored again in two CSV files) and provide two visualisations of the networks (size is PageRank, color is given by Module). This is an accompanyment to a submission to the Network Analysis in Law workshop of ICAIL 2013 (see the NAIL2013 PDF file)
DOI: 10.17632/kdmh2zhtvc
title: Thermal Analysis of Indoor Cooling Performance of the Thermoelectric Radiant Panel (TERP) System

description: A thermal analysis of indoor cooling of the designed thermoelectric radiant panel (TERP) system is conducted to evaluate the system's capability to regulate temperature effectively. By analyzing its thermal performance, potential issues can be identified and addressed to optimize the indoor environment. The system is expected to perform reliably without significant temperature deviations in the indoor environment under tropical climate conditions. Detailed thermal analyses were performed using ANSYS software, which utilized the geometry of the target room with specific dimensions and exposure to heat sources, such as occupant-generated heat and solar radiation. In the analysis, the boundary conditions are set up as:
(a) A steady state because this research focuses on evaluating the designed TERP system's performance at the minimum, average, and maximum outdoor temperatures in Malaysia, which are 25°C, 27°C, and 32°C, respectively.
(b) The analysis is set up as laminar flow model since the air velocity in the target room is considered zero due to minimal or no air movement, given that the room is fully enclosed with all windows and doors tightly sealed at all times.
(c) Only the ceiling and the east-facing wall and window are exposed to sunlight. Therefore, these façades are the only ones affected by outdoor temperature.
(d) The temperature for the other walls, windows, floor, and door is set to 24°C, as they face the building's interior, where it is assumed that the adjacent rooms, the room below, and the pavement in front of the target room are also maintained at this temperature.

Findings:
The results are shown in the form of a 3D thermal profile, which uses color contours to represent temperature variations across the system and the target room. The analysis demonstrated that the TERP system could maintain indoor temperatures around 25°C, even during peak outdoor temperatures in Malaysia, even under extreme weather conditions. While high outdoor temperatures intensified uneven surface temperature distribution, this had minimal impact on overall indoor temperature stability. Furthermore, the panels exhibited a low risk of condensation due to surface temperatures consistently exceeding the indoor dew-point temperature. The results validate the TERP system's potential as an environmentally friendly alternative to conventional air conditioning systems, with applications particularly suited to tropical climates.
DOI: 10.17632/xn455k9jch
title: COVID-19 Patients' Dataset

description: This is a comprehensive dataset that includes statistics of COVID-19 patients (infected, death, recovered).
DOI: 10.6084/m9.figshare.21326046.v1
title: raw_data.zip

description: The set includes the data shown in the article "Probing the Ultrafast Dynamics of Excitons in Single Semiconducting Carbon Nanotubes" by K. Birkmeier, T. Hertel and A. Hartschuh, Nat. Commun. (2022). The data were obtained for single semiconducting carbon nanotubes deposited on glass substrates using transient interferometric scattering and time-resolved photoluminescence microscopy and spectroscopy. <br> <br>
DOI: 10.6084/m9.figshare.24277051.v1
title: The Heavy Mineral Map of Australia Project: A Novel, Rapid, Automated Quantitative Mineralogy Workflow - Supplementary material, Appendix A

description: Supplementary material, Appendix A, for a pre-print of the manuscript The Heavy Mineral Map of Australia Project: A Novel, Rapid, Automated Quantitative Mineralogy Workflow. Appendix A details mineral phases that feature in the Heavy Mineral Map of Australia, plus chemical formulae and potential issues around identification via automated mineralogy.
DOI: 10.6084/m9.figshare.27935718.v1
title: manta-agriculture-maize

description: manta agriculture maize
DOI: 10.6084/m9.figshare.27977847.v1
title: Machine learning-assisted wearable sensing systems for speech recognition and interaction

description: We proposed a wearable wireless flexible skin-attached acoustic sensor (SAAS) that captures vocal organ vibrations and skin movements for voice recognition and human-machine interaction (HMI) in noisy environments. Using piezoelectric micromachined ultrasonic transducers (PMUT) with high sensitivity (-198 dB), wide bandwidth (10 Hz–20 kHz), and excellent flatness (±0.5 dB), the system ensures reliable performance. Flexible packaging enhances comfort, while integration with a Residual Network (ResNet) achieves over 96% accuracy in classifying laryngeal speech features. The system also demonstrated 99.8% sentence recognition accuracy using a deep learning model in various HMI scenarios. SAAS offers a low-cost, easy-to-fabricate, and high-performance solution for voice control, HMI, and wearable electronics.
DOI: 10.6084/m9.figshare.28585139.v1
title: <b>Image library for: </b><b><i>Osmoxylon</i></b><b>-like fossils </b><b>from early Eocene South America: West Gondwana-Malesia connections in Araliaceae (Wilf, 2025).</b>

description: This item is a dataset supplementing the primary article:<b>Wilf P. </b><b><i>Osmoxylon</i></b><b>-like fossils from early Eocene South America: West Gondwana-Malesia connections in Araliaceae. </b><b><i>American Journal of Botany</i></b><b> e70045</b><b>. </b><b>https://doi.org/10.1002/ajb2.70045</b><br>Please cite the primary article rather than this supplement and refer to the primary article for all details. Please cite specimens by their correct repository numbers as given in the included inventory file, not by their field numbers displayed in the filenames.Contains:—<b>Museum inventory MPEF-Pb.xlsx</b> (Excel file)Inventory file of the fossils, including lookups from field numbers (as seen in the image filenames) to their museum repository numbers in the Paleobotanical Collection of Museo Paleontológico Egidio Feruglio, Trelew, Chubut, Argentina (MPEF-Pb). <i>Please always cite the material using the museum repository numbers.</i><b>—</b><b>Figures@2400dpi.zip </b>(zip file)Library of the fossil plates from the primary article (Figs. 1–7) as 2400 dpi jpeg files.—<b>Caffapanax canessae.zip</b><b> </b>(zip file)Image library of the <i>Caffapanax canessae</i> leaf fossils, converted to jpeg format at minimum compression, original resolution.—<b>Davidsaralia christophae.zip</b><b> </b>(zip file)Image library of the <i>Davidsaralia christophae </i>infructescence<i> </i>fossil, converted to jpeg format at minimum compression, original resolution.<b>NOTES:</b>Filenames for most MEF specimens begin with field numbers in this format:LHXX-ZZZZ (metadata)orLHXX(YYYY)-ZZZZ (metadata)Where XX = Laguna del Hunco quarry number, ZZZZ = field number, YYYY = year collected if post-2002, (metadata = time stamp and/or sequence number).Use the included inventory file for lookups of MPEF-Pb repository numbers.
DOI: 10.6084/m9.figshare.28990586.v1
title: souce data

description: 本研究通过微生物组和氨基酸代谢探讨 TP-TR 对 COPD 的治疗作用和潜在机制。建立 COPD 大鼠模型以评价 TP-TR 的疗效。用 16S rRNA 测序分析肠道菌群，而血清和肺中的代谢物用 UPLC-MS/MS 分析。使用 KEGG/SMP 进行微生物组的功能预测和差异代谢物分析。采用 LPS、CSE 诱导的细胞模型验证 TP - TR 及其活性成分对氨基酸代谢的影响。
DOI: 10.6084/m9.figshare.3514319.v1
title: Appendix B. A table of means for selected site characteristics.

description: A table of means for selected site characteristics.
DOI: 10.17632/4tzrrk6x3t
title: Unemployment and Homicide in SSA

description: This data set is a sample of 48 SSA countries, that covers the period from 1990 to 2022, using annual data. 
The dependent variable in our study is homicide. Most previous empirical studies estimate homicide using intentional homicide per 100,000 people. These data are collected from the World Development Indicators (WDI) database of the World Bank. 
The key explanatory variable of interest to us is unemployment, which is defined as the proportion of the working population who are unemployed but available and looking for work (World Bank, 2023). These data also come from the World Bank’s WDI database.
To support the relationship between unemployment and homicide, our major analyses include some a set of control variables that are important determinants of homicide. These variables include: GDP growth defined as the annual percentage growth rate of GDP at market prices based on a constant local currency; inflation measured by the consumer price index; the adult literacy rate, which is the percentage of people aged 15 and over who can both read and write; enrolment in tertiary education measured by the gross enrolment ratio.
DOI: 10.17632/7kv3rctx7m
title: EHR Dataset for Patient Treatment Classification

description: The dataset is Electronic Health Record Predicting collected from a private Hospital in Indonesia. It contains the patients laboratory test results used to determine next patient treatment whether in care or out care patient. The task embedded to the dataset is classification prediction.
DOI: 10.17632/ktmrwbr6dm
title: supporting information-core BOB-4

description: supporting information-core BOB-4,including age models and geochemistry data.