cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/mpf9swrznf
title: Supplemental Material - Quantitative MODS-Wayne assay for rapid detection of pyrazinamide resistance in Mycobacterium tuberculosis from sputum samples

description: The dataset is supplemental material of our paper entitled "Quantitative MODS-Wayne Assay for Rapid Detection of Pyrazinamide Resistance in aAssay for rapid detection of pyrazinamide resistance in Mycobacterium Tuberculosis." This file includes: 1) Supplementary Methods, 2) Supplementary Figures S1 and S2, 3) Supplementary Tables S1, S2, S3, S4 and S5.
DOI: 10.6084/m9.figshare.26047105.v2
title: Dataset overweight and discapacity

description: Background: Musculoskeletal disorders comprise injuries that limit the ability of the human body to move and include elements such as muscles, tendons, and ligaments. They are considered significant problems within the practice of clinical dentistry, arising mainly because of physical overload resulting from dynamic and static activities. The aim of the research was to evaluate the relationship between shoulder, arm, and hand disability and body mass index in dentists. Methods: The study was classified as applied research with a non-experimental and correlational design. The sample consisted of 222 private practice´s dentists. A simple random probabilistic sampling was chosen. A questionnaire was considered to collect demographic, occupational, anthropometric, and exercise data. To assess the presence of symptoms of functional disability of the shoulder, arm, and hand, the shortened Disability of the Arm, Shoulder, and Hand scale (QuickDASH) was used. Results: There are differences in shoulder, arm, and hand disability scores among the body mass index classification groups (PR=12.74, 95% CI [9.08; 16.4], p&lt;0.001), even after adjusting for occupational and physical activity variables (PR=10544.08, 95% CI [302.84; 367111.40], p&lt;0.001). Conclusion: This study highlights the significant relationship between BMI and functional disability of the shoulder, arm, and hand in dental surgeons, emphasizing the need for preventive strategies focused on weight management and the promotion of physical activity.
DOI: 10.17632/8jkj9gx4w2
title: RF

description: RF coverage ,content,roundness and so on
DOI: 10.25442/hku.24955878.v2
title: Global 1028 cities

description: 1. Global_1028_cities_urban_boundary.shpThis data represents the global 1028 major cities selected in this study.<br>2. Global_1028_cities_names.xlsxThis data represents the names for global 1028 cities <br>
DOI: 10.15131/shef.data.5712118.v1
title: Judges' Reports on Criminals convicted at the Old Bailey, 1784-1827

description: The dataset has been created from The National Archives' summary descriptions for more than 1000 pardoning reports and letters which were written by judges about individuals convicted at the Old Bailey between 1784 and 1827. The information given typically includes the name of the convict, the date of the trial and the sentence passed, the grounds cited in favour of clemency, and the recommendation (if any) made by the judge.<br>Offenders who had been convicted and sentenced by the courts were permitted to petition the crown for the reduction or revocation of their sentence. The Home Office usually forwarded these petitions to the trial judge (or the Recorder of London), asking for a report and recommendation on the case. In most instances the Home Office followed the recommendation made by the judge. These records often provide valuable information about prisoners and the actual outcomes of their cases after sentencing.
DOI: 10.17632/yvjg78d3mx
title: Data for: Dynamics need space – A geospatial approach to soil phosphorus’ reactions and migration

description: Quantitative review of all the phosphorus-related papers on "Geoderma" and "Journal of Plant Nutrition and Soil Science" (JPNSS) between January 1990 and October 2016; with a focus on the methodological approaches.
DOI: 10.6084/m9.figshare.1409657.v1
title: ASL data demonstrating gam denoising

description: Sample asl dataset for gam denoising.
DOI: 10.6084/m9.figshare.23905845.v1
title: CONHYD-D-23-00130_data.zip

description: INPUT and HEAD files used in UTCHEM to model the PCE oxidation with Tween 80 enhanced permanganate in silica sandExperimental data of PCE oxidation experiments performed in silica sand and natural calcareous soil
DOI: 10.6084/m9.figshare.25696623.v4
title: Extended data anthraquinone derivatives

description: This document includes supporting information for the synthesis and characterization of anthraquinone based amino derivatives. The data also contains the structure files of the compounds.
DOI: 10.6084/m9.figshare.28890242.v2
title: A Unified Proof Showing Bias in Equidistribution of 6n+5 and 6n+1 Prime Residue

description: <br>This paper presents an unified proof demonstrating that common assumptions about the equidistribution of different prime residues in analytic number theory and probabilistic models are incorrect. While individual permutations of P₁ exponents (factors giving residue 5 mod 6) exhibit an inherent 50/50 split, the additional stream of pure P₂ composites (factors always giving residue 1 mod 6) forces the overall composite count to be biased. This renders any heuristic “equal distribution” of outcomes between P₁ and P₂ in any absolute sense incorrect, including models and hypotheses that predict the equal fluctuation of the lead between residue classes. <br>The proof is presented first in universally accessible language and then with precise mathematical notation. Although densities converge in the limit, the combinatorial mechanism of the sieve guarantees that the persistent bias seen in the finite sieve (and any arbitrarily extended) is not a mere fluctuation, but an inevitable outcome. <br>Addressing concerns around existing asymptotic density estimates over the entire number line:In similar style of Euclid’s classic proof of the infinitude of primes, one can argue that at any finite stage (with a fixed set of primes), the combinatorial or permutation arguments already reveal that the available arrangements lead to an imbalance in the cancellation (sieving) process. In other words, even though many investigations into prime distributions rely on asymptotic density arguments, this finite, elementary approach shows that with any finite set of prime factors, the structure of the products forces more composites built entirely from P₂ primes (or with an extra stream of P₂-only contributions) to be canceled. This cancellation in the 1 mod 6 category (where P₂ is the neutral factor) then leaves a relative surplus of surviving candidates in the 5 mod 6 slot, regardless of how large the set of primes is made, or whether densities converge.This finite method, carried over through induction or a limiting process, is as valid as the classical arguments used to prove the infinitude of primes.<i> I</i><i>t</i><i>s </i><i>method is robust in producing a P₂-dominated sieve regardless of the finite set chosen of known primes or its distribution/ratio of </i><i>5 mod 6 (</i><i>P₁) </i><i>and </i><i>1 mod 6 (</i><i>P₂)</i><i>.</i><br>This is the second of many other significant works to come.<br>If you would like to collaborate together, ask questions or publish my paper, please do not hesitate to contact me at : cs.kava@proton.me<br>
DOI: 10.6084/m9.figshare.c.3644099_d14.v1
title: Additional file 4: Table S4. of Comparative transcriptome profiling of resistant and susceptible rice genotypes in response to the seedborne pathogen Fusarium fujikuroi

description: Up-regulated and down-regulated cytochrome P450 genes. (XLSX 22 kb)
DOI: 10.6084/m9.figshare.21627077.v3
title: Example_data_for_MAP2B

description: Example_data_for_MAP2B
DOI: 10.15482/usda.adc/1457533
title: Leptinotarsa decemlineata Official Gene set v1.2
DOI: 10.6084/m9.figshare.24647766.v2
title: Predicting yolk testosterone allocation using ecological contexts and species-specific traits (James & Bentz, 2024)

description: Data for a boosted regression tree analysis used to predict yolk testosterone responsiveness in female birds based on ecological contexts and life-history traits. Supplementary Table 1 contains the dataset used in the analysis. Study-level variables, including the dependent variable (study significance), are listed first (columns C-M), followed by species-specific life-history traits and phylogenetic classifications. Species name (common and scientific; columns A-B), directionality (column D), and full paper citation (column BA) are included but were not used in the analysis. Supplementary Table 2 contains variable definitions. All data source citations are in the main manuscript. Supplementary figures file contains the PRISMA flow chart for article screening, the phylogeny used in the study, boosted regression tree parameter selection, full relative variable importance results for all 48 variables, and marginal effect plots for variables that lay outside the top 10 variables but were still above the relative importance threshold (2.08%).<br>
DOI: 10.6084/m9.figshare.29078804.v1
title: Sample data and meta data for analyses

description: Sample site, population, age, sex, site, elevation, and allele data
DOI: 10.6084/m9.figshare.5423074.v3
title: SF6 spectra measured by FTIR and its estimated baseline data.rar

description: The spectra of the SF6 which measured by FTIR developed that developed by ourselves.And the ruslts of the baseline correction methods for the spectra showed in the dataset.The concentration of SF6 are 115ppm,431ppm,904ppm.
DOI: 10.6084/m9.figshare.28693142.v1
title: The R code and data for the Adonis analysis and creation of the chord diagram.

description: This study characterized the maternal and infant gut microbiome/metabolome/resistome. We preliminarily identified the associations of trace elements exposure (e.g., manganese, copper, and selenium) with the dynamics of infant gut microbial diversity, composition, and metabolites. We also found that metals may be implicated in shaping the profiles of antibiotic resistance genes (ARGs) in the infant gut.Adonis analysis was used to identify differences in beta diversity between mother and infant groups, and between different stratified infant groups.The chord diagram (with Spearman analysis) demonstrated the effects of prenatal exposure to trace elements exposure on infant metabolites at different postpartum visits.
DOI: 10.6084/m9.figshare.4555471.v1
title: Jacques Bertin, tableau des niveaux des variables rétiniennes

description: Vectorisation du tabelau des niveaux des variables rétiniennes, de la Sémiologie Graphique de Jacques Bertin.
DOI: 10.17632/r89zy3y657
title: On solving system of DAEs using ADM

description: Examples for solving system of differential-algebraic equations (DAEs) of second order.
DOI: 10.6084/m9.figshare.23984934.v1
title: &gt;32 μm% (GS32) dataset of Holocene and modern surface sediments in Lake Ximenglongtan, southwestern China.

description: This dataset includes &gt;32 μm% (GS32) data of Holocene and modern surface sediments in Lake Ximenglongtan, southwestern China. The grain size of sediments was measured by the Malvern Mastersizer 3000 laser particle sizer. Before measurement, the organic matter and carbonates in samples are removed using H2O2 and HCl, respectively. All the samples were dispersed in an ultrasonic bath for 15 min after the addition of (NaPO3)6. Each sample was measured three times and the three results needed to be highly similar to be considered qualified. A final average value of three times was obtained to reduce the measurement errors. The GS32 in the lake center area is a sensitive proxy of low lake-level change and is also used to reconstruct the lake-level change across the Holocene in Lake Ximenglongtan, northeastern South Asian monsoon region.
DOI: 10.6084/m9.figshare.24124980.v1
title: Predset_2020.csv

description: Prediction set of AdaSTEM model, year 2020.
DOI: 10.6084/m9.figshare.4039719.v1
title: FASTA Files of Influenza HA

description: 180 FASTA files of influenza HAs<br>
DOI: 10.6084/m9.figshare.7583261.v2
title: Taxonomy data file

description: Data used in Hacker Taxonomy analysis. Only variables that were used for this are present in the datafile. Well documented, self-explanatory
DOI: 10.6084/m9.figshare.3427853.v4
title: Moral Scenarios Manipulating the Intention to Harm and the Outcome of the Action - Set 1

description: We provide here 64 moral scenarios manipulating the intention to harm of the protagonist (intention to harm vs. non intention to harm) and the outcome of his/her action (harmful outcome vs. no harm caused). The crossing of these two variables leads to neutral scenarios (no intention to harm and no harm caused), accidental harm scenarios (no intention to harm but harmful outcome), attempted harm scenarios (intention to harm but no harm caused) and intentional harm scenarios (intention to harm and harmful outcome). All 64 scenarios are written in 4 different versions to conform to the 4 types of scenarios.<br>These stimuli were used in the following study:<br>Leloup, L., Dongo Miletich, D., Andriet, G., Vandermeeren, Y., & Samson, D. (2016). Cathodal transcranial Direct Current Stimulation on the right Temporo-Parietal Junction modulates the use of mitigating circumstances during moral judgments.<i>Frontiers in Human Neuroscience, 10</i>, 355.<br><br>
DOI: 10.17632/gvw2zwscxm
title: State of the science - climate change in nursing education

description: This is the cleaned dataset (version 5) for the bibliometric analysis on the topic of examining the state of the science in nursing education as it relates to climate change and plaentary health. 
Update: 9/25/24, after careful data cleaning and analysis, the team made additional cleaning decisions and updated to the final final version of the data set (version 6).
Update: 9/25/24, the updated data analysis results in full are also posted.
DOI: 10.6084/m9.figshare.19668792.v1
title: Divide-and-Conquer: A Distributed Hierarchical Factor Approach to Modeling Large-Scale Time Series Data

description: This article proposes a hierarchical approximate-factor approach to analyzing high-dimensional, large-scale heterogeneous time series data using distributed computing. The new method employs a multiple-fold dimension reduction procedure using Principal Component Analysis (PCA) and shows great promises for modeling large-scale data that cannot be stored nor analyzed by a single machine. Each computer at the basic level performs a PCA to extract common factors among the time series assigned to it and transfers those factors to one and only one node of the second level. Each second-level computer collects the common factors from its subordinates and performs another PCA to select the second-level common factors. This process is repeated until the central server is reached, which collects factors from its direct subordinates and performs a final PCA to select the global common factors. The noise terms of the second-level approximate factor model are the unique common factors of the first-level clusters. We focus on the case of two levels in our theoretical derivations, but the idea can easily be generalized to any finite number of hierarchies, and the proposed method is also applicable to data with heterogeneous and multilevel subcluster structures that are stored and analyzed by a single machine. We introduce a new diffusion index approach to forecasting based on the global and group-specific factors. Some clustering methods are discussed in the supplement when the group memberships are unknown. We further extend the analysis to unit-root nonstationary time series. Asymptotic properties of the proposed method are derived for the diverging dimension of the data in each computing unit and the sample size <i>T</i>. We use both simulated and real examples to assess the performance of the proposed method in finite samples, and compare our method with the commonly used ones in the literature concerning the forecasting ability of extracted factors. Supplementary materials for this article are available online.
DOI: 10.17632/4sfyzcc39j
title: Data for: Polymer Electrolyte Membrane Fuel Cell Fault Diagnosis and Sensor Abnormality Identification using Sensor Selection Method
DOI: 10.17632/mdyhynn24x
title: longitude and latitude details of classroom for attendence system

description: This dataset contains classroom details in a college such as latitude, longitude, place, and room_number for student's attendance system. This dataset helps to get face recognition based attendance system using Deep Learning.
DOI: 10.17632/mytwsx78d6
title: Datasets for study on Adaptation Strategies for Deficit Irrigation management under extreme climate conditions

description: This repository contains modified weather data and DSSAT experimental files related to this study
DOI: 10.6084/m9.figshare.25467418.v1
title: COMPACT Source Data

description: Here includes the Source Data for main Figures 1-4.
DOI: 10.6084/m9.figshare.28689080.v1
title: Data set- a<i>utogenous bone graft in the management of </i><i>post-osteomyelitis bone defects in children in a </i><i>limited-resource setting- </i><i>a </i><i>retrospective cohort study </i><i>with a minimum follow-up of 7 years</i>

description: Data set for the following article "<i>Autogenous bone graft in the management of </i><i>post-osteomyelitis bone defects in children in a </i><i>limited-resource setting – </i><i>a</i><i> </i><i>retrospective cohort study </i><i>with a minimum follow-up of 7 years"</i>
DOI: 10.6084/m9.figshare.3530315.v1
title: Appendix A. A table showing (a) mean morphological traits and (b) mean limb morphology traits ± standard error (mm) for 19 species representing 23 populations.

description: A table showing (a) mean morphological traits and (b) mean limb morphology traits ± standard error (mm) for 19 species representing 23 populations.
DOI: 10.17632/9v8dx262r2
title: Risks of Glaucoma among Individuals with Psoriasis: A Population-based Cohort Study

description: Supplementary table and figures, including ICD-9-CM codes of potential confounders, Kaplan-Meier analysis of all-cause glaucoma, open-angle glaucoma, and angle-closure glaucoma.
DOI: 10.17632/csbx34pzsy
title: Raw data: Meteorological indicator dataset for selected European NUTS 3 regions

description: Raw data to "Meteorological indicator dataset for selected European NUTS 3 regions", which consists of daily gridded data for 13 countries for the period from 1989 to 2018. The size of the grid is 25kmx25km. The data is a subset of the "Gridded Agro-Meteorological Data in Europe" dataset provided by the Joint Research Centre (JRC) of the European Commission (EC) and available under: https://agri4cast.jrc.ec.europa.eu/DataPortal/Index.aspx?o=
DOI: 10.17632/gm2kjvy2f6
title: AddedResistance (Windows/MAC OS)

description: AddedResistance (MAC/WIN) program was developed for added resistance estimation on head waves by the use of an MLP artificial neural network. In order to create a reliable model, only experimental data determined through model tests measurements was used to train this neural network. The following model tests results of these vessels were used in the development of this software: • Van der stel (Gerritsma and Beukelman , 1972; Journee 1976), • S175 containership (Nakamura, 1976), • Series 60 CB=0.6, CB=0.65, CB=0.7, CB=0.75, CB=0.8, Strøm-Tejsen (1973), • WILS II containership (Söding et al., 2014), DTC containership (Sprenger et al. , 2015), • Cruise ship (Ley et al., 2014), Bulk carrier (Kadomatsu, 1988), • RoPax (Sprenger et al., 2015), • KVLCC2 tanker (Guo & Steen, 2010; Sadat-Hosseini et al., 2013), • KRISO containership (Simones et al. 2014). AddedResistance program could have practical application at the preliminary design stage. But this computer program might have two limitations. Firstly, the program may be inaccurate in the design of an innovative ship. This results from the data used to train the network which was measured on standard ship hulls. Secondly, the neural network was developed using the model test data with limited parameter ranges. Therefore, AddedResistance might only be used to estimate added wave resistance for ships with the following design characteristic ranges: • length between perpendiculars LBP from 90 m to 335 m, • breadth B from 16.25 m to 58 m, • draught d from 4.2 to 20.8 m, • block coefficient CB from 0.503 to 0.829, • Froude number Fn from 0.087 to 0.3, • LBP/B ratio from 5 to 7.5, • B/d ratio from 2.5 to 4.5. The application of this computer software to calculate ship resistance with design characteristics outside these ranges might be associated with the risk of low accuracy estimations. The total mean added resistance of sailing ship in irregular waves is calculated by the use of the wave energy spectrum. A common ITTC spectrum based on Bretschneider wave energy spectrum was used here to calculate the mean added resistance in irregular wave. Lazarus IDE software (Lazarus 2.0.0, 2019) with a Free Pascal compiler was used to develop the AddedResistnace program.
DOI: 10.6084/m9.figshare.17378384.v1
title: Gunn_chaet_behaviour_2022

description: Data is from 20 butterflyfish individuals, 10 from a high food resource site and 10 from a low food resource site with each individual observed on five separate occasions.<br>Data includes information on the time individuals invested in different behaviours, benthic data, specifically coral cover for each site, and the density of the focal butterflyfish species and a competing species.
DOI: 10.6084/m9.figshare.25535017.v1
title: Data for AI Uncertainty Quantification in Radiotherapy Applications Scoping Review

description: <b>Datasheets for Uncertainty Quantification in Machine Learning Radiotherapy Applications: A Scoping Review.</b><br>This dataset accompanies the scoping review titled <b>"Uncertainty Quantification in Machine Learning Radiotherapy Applications: A Scoping Review"</b> (preprint link: https://www.medrxiv.org/content/10.1101/2024.05.13.24307226v1; now accepted at Radiotherapy and Oncology, in press). <br>Contact: Kareem Wahid, PhD; <b>kawahid@mdanderson.org</b>. The scoping review systematically explores the current landscape of uncertainty quantification (UQ) in machine learning (ML) applications within radiotherapy (RT), identifying existing trends, areas for improvement, and future directions in this emerging field.<br>Included files:<b>final_manuscript_data.csv</b>: This CSV file contains extracted data from the 56 studies included in the scoping review. The data encompasses four main categories. The General Study Characteristics include information on publication type, year, geographic origin, and code or data availability. The Radiotherapy Characteristics provide details on radiotherapy application domains—such as auto-contouring and dose prediction—the disease sites studied, and the types of data used, including CT scans, MRI images, and RT dose information. The AI Characteristics section offers information about the machine learning approaches employed, the training, validation, and testing sample sizes, and the validation methods used. Lastly, the Uncertainty Quantification Characteristics detail the UQ methods used, the uncertainty metrics reported, the types of uncertainty addressed (aleatoric vs. epistemic), and the UQ applications investigated, such as failure detection and calibration.<b>overlap_data.xlsx</b>: This Excel file provides sheets for our review and previous systematic/scoping reviews related to UQ in medical applications where Study IDs, Titles, and digital object identifiers are used for comparative overlap analysis. These files are to be used in conjunction with the corresponding code repository at: https://github.com/kwahid/RT_UQ_scoping_review/tree/main.<br>