cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1308555
title: Spline Multiscale Smoothing to Control FDR for Exploring Features of Regression Curves

description: SiZer (significant zero crossing of the derivatives) is a multiscale smoothing method for exploring trends, maxima, and minima in data. In this article, a regression spline version of SiZer is proposed in a nonparametric regression setting by the fiducial method. The number of knots for spline interpolation is used as the scale parameter of the new SiZer, which controls the smoothness of estimate. In the construction of the new SiZer, multiple testing adjustment is made to control the row-wise false discovery rate (FDR) of SiZer. This adjustment is appealing for exploratory data analysis and has potential to increase the power. A special map is also produced on a continuous scale using <i>p</i>-values to assess the significance of features. Simulations and a real data application are carried out to investigate the performance of the proposed SiZer, in which several comparisons with other existing SiZers are presented. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.28751156.v1
title: ULTRA-MoCap: A Multimodal IMU and sEMG Dataset for Upper Body Joint Kinematics Analysis

description: Dataset files related to the paper ULTRA-MoCap: A Multimodal IMU and sEMG Dataset for Upper Body Joint Kinematics Analysis<b>Authors</b>:Oliver Fritsche, Steven Camacho, Md Sanzid Bin Hossain, Tyler Halpenny, Carlos Archniegas, Joseph Dranetz, Dexter Hadley, Zhishan Guo, and Hwan Choi<b>Abstract: </b>Predicting human kinematics from multi-modal sensor data has applications in rehabilitation, sports analysis, assistive device control, and human-computer interaction, offering less intrusive alternatives to camera-based motion capture (MoCap) systems. However, current datasets often lack comprehensive multi-modal data integrating both IMU and sEMG sensors, with limited coverage for upper limb kinematics and insufficient capture of high-fidelity muscle activation and joint dynamics, especially for complex shoulder and elbow movements. These limitations impede the development of robust models for advanced applications. To address these gaps, we introduce the Upper Limb Tracking with Multi-modal Capture (ULTra-MoCap) dataset. It includes IMUs on the hand, wrist, and forearm, and combined sEMG/IMU sensors on the biceps brachii, triceps brachii, and deltoid, enabling detailed tracking of multiple degrees of freedom upper limb kinematics. Data was collected from 13 healthy subjects using Vicon Vero motion capture cameras and Delsys Trigno sEMG/IMU sensors with various upper limb movements. This paper details the data collection, sensor placement, and processing pipeline, establishing ULTRA-MoCap as a benchmark for deep learning applications.________________________________________________________ULTra-MoCap-processed contains already processed data reading for downstream deep learning.ULTra-MoCap-raw contains subjects [1-6](0) and [7-13](1) raw data for reproducibility._________________________________________________________________
DOI: 10.17632/tjf2kj9fxr
title: CanXie_2025_GCA_Rawdata

description: The chromatograms and mass spectra used in the manuscript figures were provided in numerical format in this dataset.
DOI: 10.6084/m9.figshare.8967116.v2
title: ACTINN

description: This folder contains datasets and codes used in this paper:ACTINN: Automated identification of Cell Types in Single Cell RNA Sequencing<br>
DOI: 10.17632/pw8y43f6zt
title: Data for: Evaluation of the immune responses following co-administration of PilQ and type b-Flagellin from Pseudomonas aeruginosa in the burn mouse model

description: These articles are related to the submitted article.
DOI: 10.6084/m9.figshare.16892452.v1
title: March 2021 Covid-19 Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in March, 2021 from Twitter's COVID-19 Streaming Endpoint via a custom script developed by the Social Media Lab (https://socialmedialab.ca/). Visit our interactive dashboard at https://stream.covid19misinfo.org/ for a preview and some general stats about this COVID-19 Twitter streaming dataset. For more info about Twitter's COVID-19 Streaming Endpoint, visit https://developer.twitter.com/en/docs/labs/covid19-stream/overview * Note: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.7861967.v1
title: Supplementary Material for: Use of a Simple in vitro Test to Assess Loss of Chemical due to Volatility during an in vitro Human Skin Absorption Study

description: <b><i>Background:</i></b> We tested the cutaneous distribution of 50 chemicals in frozen human skin. The mass balance (MB) values for 48% of the chemicals were &lt; 90%, possibly due to evaporation. <b><i>Methods:</i></b> We confirmed the reduction in MB was due to evaporation for two chemicals tested in skin penetration experiments using a carbon filter above the skin to trap airborne chemical. An in vitro assay was used to predict the reduction in MB due to evaporation by comparing the recovery of chemicals after 4 h of incubation at room temperature in open and closed vials. <b><i>Results:</i></b> Evaporative losses in vitro correlated well with measured MBs (i.e., &lt; 90%) in skin penetration experiments (<i>R</i><sup>2</sup> = 0.81). There was a correlation of the MB with the vapour pressure (VP) which could be used to group chemicals according to their likelihood to evaporate during the course of a skin penetration study. There was also a correlation of MB with Henry’s law constants, melting and boiling points. <b><i>Conclusion:</i></b> Our data support the use of a quick and simple test for volatility to account for the loss of MB in skin penetration experiment due to volatility. The best parameter to indicate the potential of a chemical to evaporate is the VP.
DOI: 10.6084/m9.figshare.11316473.v1
title: pteridines dataset.xlsx

description: Identification and age-dependence of pteridines in bed bugs (Cimex lectularius) and bat bugs (C. pipistrelli) using liquid <br>chromatography-tandem mass spectrometry.<br>To review the existing body of literature, we used Google Scholar entered the following key words: pteridines AND insect AND method. This literature review yielded 139 suitable studies. We have conducted a detailed analysis of 106 papers dealing with pteridines and published between 1926 and 2019.
DOI: 10.6084/m9.figshare.19180598.v1
title: oral health education.xls

description: Of the total of 660 JVK members who provided informed consent, 605 (intervention =306 and control groups = 299) completed the baseline questionnaire. The participants' sociodemographic and oral health status data were collected at the participating JVK centers by two trained and dental residents using the WHO oral health assessment form.The collected oral health status included the dentition status, treatment needs, periodontal status, and attachment loss collected while the participants were seated comfortably in an upright position on an armchair under natural light or a flashlight Periodontal statuses assessed using Community Periodontal Index .
DOI: 10.6084/m9.figshare.21324099.v1
title: Supplementary Material for: Associations among body mass index, waist-to-hip ratio and cognitive impairment tend to follow an opposite trend and are sex specific: A population-based cross-sectional study in a rural area of Xi'an, China

description: Introduction: The relationship between obesity and cognitive impairment (CI) is highly heterogeneous in previous studies, which may be due to insufficient consideration of anthropometric indicators and sex. This study compared the cross-sectional relationships among body mass index (BMI), waist-to-hip ratio (WHR) and CI among people aged ≥40 years, and sex-specific relationships were also considered. Methods: This was a population-based cross-sectional study with a cluster sampling design. CI was defined as a Mini-Mental State Examination score lower than the cutoff value. Multivariate logistic regression was used. BMI and WHR were fitted as both restricted cubic splines and categorical data. Stratified analysis and interaction analysis were performed to explore the sex-specific relationship. Results: A total of 1792 subjects (40.5% male) were analyzed, and 230 were confirmed to have CI. The relationships among BMI, WHR and CI were significant (Poverall=0.023, Pnonlinear=0.097; Poverall=0.017, Pnonlinear=0.078, respectively) but exhibited an opposite trend in the total population in the analyses with BMI and WHR as restricted cubic splines. Further categorical analyses showed that subjects with a BMI &lt;23 kg/m2 tended to have a higher risk of CI than those with BMI ≥23 kg/m2(16.2% vs. 11.8%, P=0.017; OR = 1.366 [0.969–1.926], P = 0.075), and subjects with a WHR &gt;0.92 had a significantly higher risk of CI than those with a WHR ≤0.92 (11.7% vs. 16.2%, P=0.011; OR = 1.619 [1.161–2.258], P = 0.005). In addition, the relationship between a low BMI and CI was more significant in males (P = 0.034), while the relationship between a high WHR and CI was more significant in females (P = 0.002). Further studies is needed to confirm the sex differences because of the marginal significance result in the interaction analysis (P = 0.051 for interaction term BMI×sex; P = 0.056 for interaction term WHR×sex). Discussion/Conclusion: The relationships among BMI, WHR and CI exhibit an opposite trend. A low BMI or high WHR was positively associated with CI, which was more prominent in males for a low BMI, and in females for a high WHR.
DOI: 10.6084/m9.figshare.28788083.v1
title: <b>Global patterns of nutrient limitation in soil microorganisms</b>

description: Estimates of microbial N and P limitation (i.e., MNL and MPL) using ecoenzyme stoichiometry model based on 5,259 field observations of natural ecosystems in global surface soils.
DOI: 10.17605/osf.io/z4cmy
title: Reversed speech - Systematic Review

description: This project includes information and data of a systematic literature research on reversed speech.
DOI: 10.17632/7cfzh9p2ct
title: Sequence alignments

description: Sequence alignments for Thesis
DOI: 10.6084/m9.figshare.21545673.v3
title: Study protocol for a systematic review of the social determinants of mental health and well-being of older migrants aged 50 years and above

description: CINAHL database search strategy for ‘Study protocol for a systematic review of the social determinants of mental health and well-being of older migrants aged 50 years and above This project contains the following underlying data: Supplemental File 1: Search Strategy for CINAHL database <br> Supplemental file 2: PRISMA P checklist.
DOI: 10.6084/m9.figshare.28596473.v1
title: Biomass Density Distribution at Heading Stage of Early Rice in Sanya City from 2019 to 2024

description: Based on the planting area distribution of early rice in Sanya from 2019 to 2024, the biomass density at heading stage was estimated. Our team created a Dynamic Growth Period Unification (DGU) algorithm: Based on the objective law that NDVI of rice heading stage reaches the maximum value in the whole growth period, the change trend of rice NDVI in satellite remote sensing images of the study area is analyzed and the corresponding time range of rice heading stage is extracted. This method solves the problem of inaccurate prediction of large-scale spatial rice biomass due to the difference of crop rotation time in farmers' planting patterns and different growth stages of rice varieties. Then, Sentinel-1 radar data and Sentinel-2 optical data of the corresponding time period were obtained according to this time range, and the radar data, optical data and texture information were input into four machine learning algorithms, namely random forest, support vector machine, gradient lifting decision tree and BP neural network, to develop a rice biomass density estimation model. The results show that: The random forest algorithm performed best in the prediction task of rice biomass density. Its coefficient of determination R2 was 0.746, root mean square error (RMSE) was 290.531 g/m², Bias was 6.766 g/m², and relative root mean square error (RRMSE) was 23.84%. The Bias% was 0.555%. The results showed that the biomass density of rice in Sanya City fluctuated in different years and regions. The average biomass density fluctuated between 1142.218 g/m² and 1177.41 g/m², and the total biomass fluctuated between 21120.266 tons and 28696.107 tons. The average biomass density in Yazhou district fluctuated between 1143.687 g/m² and 1167.343 g/m², and the total biomass fluctuated between 7845.106 tons and 12082.792 tons. The average biomass density fluctuated between 1149.634 g/m² and 11944.17 g/m², and the total biomass fluctuated between 6710.375 tons and 10139.787 tons. The average biomass density in Jiyang District fluctuated between 1159.411 g/m² -1227.457 g/m², and the total biomass fluctuated between 1797.002 tons and 2757.501 tons. The average biomass density of Haitang district fluctuated between 1114.167 g/m² -1184.708 g/m², and the total biomass fluctuated between 3717.419 tons and 5421.217 tons.
DOI: 10.6084/m9.figshare.7322243.v3
title: GuacaMol Validation SMILES

description: Validation partition of dataset for the GuacaMol de novo design benchmarks.<br>This is a subset of molecules extracted from ChEMBL 24. For more information see https://www.ebi.ac.uk/chembl/<br>
DOI: 10.17632/ptj2m36h5d
title: Multibeam bathymetry of the Israel EEZ v2020.1

description: This data accompanies the paper 'Sediment transport mechanisms revealed by quantitative analyses of seafloor morphology: new evidence from multibeam bathymetry of the Israel Exclusive Economic Zone' in by Kanari et al., 2020, Journal of Marine and Petroleum Geology. Please cite any use of this data by referring to the following paper: -------------------------------------------- Kanari M, Tibor G, Hall JK, Ketter T, Lang G, Schattner U, 2020, Sediment transport mechanisms revealed by quantitative analyses of seafloor morphology: New evidence from multibeam bathymetry of the Israel exclusive economic zone, Marine and Petroleum Geology, Vol. 114, 104224, ISSN 0264-8172, https://doi.org/10.1016/j.marpetgeo.2020.104224. The data contains the following: ---------------------------------- (1) The multibeam bathymetry grid of the Israel EEZ in 200 m resolution. (2) Hill-shaded relief bathymetric map of the Israel EEZ in 25 m resolution (a-clean; b-with depth contours). (3) Derivatives of the bathymetric grid in 25 m resolution: slope, aspect, multibeam backscatter (where available). (4) Vector SHP files (GIS-ready) of the five analyzed morphological units mapped in the study: structural folds, sediment waves, faults , deepwater channels (and their associated overbank deposits), and deepwater fan lobes. Disclaimer: The maps and surfaces published in this dataset are provided "as-is" and are not legal surveys or legal descriptions. We disclaim any representations and warranties as to the accuracy of the maps and surface. These maps and surface are not intended for navigational, commercial, legal or political purposes.
DOI: 10.17632/x7r6mprjb7
title: Datasets for "Accumulation of methylmercury in the Antarctic surface ocean: the potential role of phytoplankton uptake"

description: This dataset provide data of measured total Methylmercury concentrations and the corresponding marine chemical and physical parameters in Ross and Amundsen Seas.
DOI: 10.6084/m9.figshare.28004273.v1
title: <b>The #BookTok Connection: Examining Cultural and Linguistic Identity Expression in Online Reading Communities</b>

description: Data set for <b>The #BookTok Connection: Examining Cultural and Linguistic Identity Expression in Online Reading Communities</b><br>
DOI: 10.6084/m9.figshare.3550422.v1
title: Appendix B. Tables and graphs related to the analysis of the “expanding leaves” example: percentage loss of leaf area (LLA) by median expansion time and site.

description: Tables and graphs related to the analysis of the “expanding leaves” example: percentage loss of leaf area (LLA) by median expansion time and site.
DOI: 10.17632/6gjyr6vm9g
title: Dataset_RTOCs_Datainbrief

description: Data in Brief dataset: Hospitality Education Evolution Observed in Online Learning Dataset.  Data were collected by recruiting 956 respondents; 926 responses were adopted after the valid screening through a cooperative survey company. A random sampling of targeted groups was required when outsourcing the data collection to the survey company Wenjuanxing, a platform with a majority of population database providing functions equivalent to Amazon Mechanical Turk. We asked the company to deliver the designed questionnaire to teachers and students in hospitality programs. Reliability and validity of all constructs showed that the questionnaire is proper for measurement.
DOI: 10.17632/s3gfmcbghm
title: Isobaric labeling update in MaxQuant

description: We present an update of the MaxQuant software for isobaric labeling data and evaluate its performance on benchmark datasets. Impurity correction factors can be applied to labels mixing C- and N-type reporter ions, such as TMT Pro. Application to a single-cell species mixture benchmark shows high accuracy of the impurity-corrected results. TMT data recorded with FAIMS separation can be analyzed directly in MaxQuant without splitting the raw data into separate files per FAIMS voltage. Weighted median normalization, is applied to several datasets, including large-scale human body atlas data. In the benchmark datasets the weighted median normalization either removes or strongly reduces the batch effects between different TMT plexes and results in clustering by biology. In datasets including a reference channel, we find that weighted median normalization performs as well or better when the reference channel is ignored and only the sample channel intensities are used, suggesting that the measurement of a reference channel is unnecessary when using weighted median normalization in MaxQuant. We demonstrate that MaxQuant including the weighted median normalization performs well on multi-notch MS3 data, as well as on phosphorylation data.

Data Summary:
Each folder contains MaxQuant output tables used for data analysis with their respectively mqpar files. Please use the MaxQuant version specified in each dataset to open mqpar files. Perseus sessions are provided when Perseus was used for downstream analyses. Please use Perseus version Perseus version 2.1.2 to load the sessions.
DOI: 10.17632/yyvkwyrmcn
title: ENVIRONMENTAL IMPACT ASSESSMENT OF SOLID WASTE DISPOSAL SITES ALONG RIVER NIGER WATERWAYS FOR AQUATIC POLLUTION OF THE ECOSYSTEM

description: Authors: Okolotu G.I., Besong T.E., Udom E.A., and Okeke C.G., 2024
Abstract: The need for soil and water conservation and management of the ecosystem
of the water bodies prior pollution prompt the vitality of this research work. Site
locations of the three solid waste disposal sites along the major water body of the study
area were obtained through field investigation using appropriate survey procedures. The
ecosystem survey within 100 meters distance from the three solid waste disposal sites
along the Niger river was conducted to study the impact on chemical conditioning of the
aquatic ecosystem with regards to water turbidity, water hydronium concentration,
health conditions of organisms, species diversity disruption, temperature variation
impact of the wastes, heavy metals, electric conductivity, fish and other aquatic animal
frequenting, water taste, smell and odour impact contribution to the health effects were
used in derivation of the effects impacted by wastes on the ecosystem. Based on the
findings, these wastes are treats to aquatic habitants and the ecosystem. Proferable
measures to minimize these negative impacts were proffered to the state, federal and
global agencies and others towards protecting these aquatic environments.
DOI: 10.26188/26700664.v3
title: Epileptic Seizure Detection Using Heart Rate Variability from Ambulatory ECG: A Pseudoprospective Study

description: R-peak (heart beat detection from ECG) data and seizure times for Li et al (2025) 'Epileptic Seizure Detection Using Heart Rate Variability from Ambulatory ECG: A Pseudoprospective Study'
DOI: 10.6084/m9.figshare.28200839.v2
title: Multiomics of HPSCC - source data for main Table and Figures.xlsx

description: Two-thirds of hypopharyngeal squamous cell carcinoma (HPSCC) cases are diagnosed at advanced stages, with the worst prognosis among head and neck squamous cell carcinomas (HNSCCs). We studied 103 Chinese HPSCC patients, finding higher prevalence and poorer prognosis in males. Estrogen response pathways and proteins phosphorylated by PKC and CDKs are aberrantly regulated. Key copy number regions in tumours include <i>SOX2, FGFR, CCND1, CDKN2A/2B</i>, and <i>MYC</i>. HPV status and highly mutated genes like SYNE1 (HPV-) and <i>MUC4 </i>(HPV+) were predictive markers. A predictive model with clinical factors and six gene expressions was validated. This study offers new opportunities for personalized treatment.
DOI: 10.17632/6x5zffpxwb
title: UCI Wastewater-Based Surveillance Data (SARS-CoV-2 and PMMoV datasets)

description: Wastewater SARS-CoV-2 and PMMoV data were collected between December 2021 and June 2022 from 13 sewer manholes on University of California Irvine campus. These manholes serve 7 student communities with population sizes between 300 and 4000 people. The samples were analyzed using RT-ddPCR. The dataset shows SARS-CoV-2 N2 and E gene concentrations as well as Pepper Mild Mottle Virus (PMMoV) concentrations in 726 wastewater samples.
DOI: 10.6084/m9.figshare.24562768.v1
title: Research Participants Test Scores.xlsx

description: Research results for the Washington University Sentence Completion Test (WUSCT) and the Archetypal Test of the 9 Elements (AT.9) for a research study
DOI: 10.6084/m9.figshare.26403469.v3
title: Training and Validation Dataset of Capsule Vision 2024 Challenge

description: We present the training and validation dataset to be utilized in the Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for Video Capsule Endoscopy. It is being virtually organized by the Research Center for Medical Image Analysis and Artificial Intelligence (MIAAI), Department of Medicine, Danube Private University, Krems, Austria and Medical Imaging and Signal Analysis Hub (MISAHUB) in collaboration with the 9th International Conference on Computer Vision & Image Processing (CVIP 2024) being organized by the Indian Institute of Information Technology, Design and Manufacturing (IIITDM) Kancheepuram, Chennai, India.For more information, please check the following links:Challenge hosting website: https://misahub2023.github.io/cv2024.htmlChallenge arXiv: https://arxiv.org/abs/2408.04940Registration form (closed): https://forms.gle/QemRirWysnGoGrKM6Challenge Github: https://github.com/misahub2023/Capsule-Vision-2024-Challenge<b>Update: </b>The challenge has been completed.<br><br>
DOI: 10.6084/m9.figshare.29163140.v1
title: den230_cat

description: file dengue for machine learning