cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/wwtbfx5ntf
title: A COMPARATIVE STUDY OF MORPHOLOGY AND SYNTAX IN ENGLISH AND BANGLA

description: Abastract: The process of acquiring one's first language (L1) is a natural phenomenon in which individuals unintentionally acquire their native tongue (L1). In contrast to first language acquisition (L1), the acquisition of a second or foreign language (L2) is a cognitively driven process in which learners actively engage in purposeful efforts to acquire the language. Therefore, second language (L2) learners have several problems in second language acquisition (SLA), such as interference from their mother tongue or first language (L1), analysis of errors, development of an interlanguage or learner's language, consideration of learners' age, motivation, provision of positive feedback, and other related factors. This research examines the morphological and syntactical similarities and differences between English and Bangla, focusing on synchronic, diachronic, and grammatical viewpoints. Hence, this research contributes to the improvement of second language (L2) learners' understanding of English or Bangla, as well as their ability to overcome problems in second language acquisition (SLA).
DOI: 10.6084/m9.figshare.10028582.v2
title: Source data for Vladimirova et al. (2020) Patterns of seismic cycle in the Kuril Island arc from GPS observations. Pure and Applied Geophysics

description: This dataset contains additional source information that support the findings of the manuscript Vladimirova et al. "Patterns of seismic cycle in the Kuril Island arc from GPS observations" submitted to Pure and Applied Geophysics (2020). The dataset contains information on coseismic offsets recorded during the 2006-2007 Simushir earthquakes, variations of GPS station velocities after Simushir earthquakes and parameters of numerical models described in the manuscipt. <br>
DOI: 10.6084/m9.figshare.2009028.v1
title: Mental Modeler files

description: These iterations of a concept map surrounding the idea of being sustainable with the Edwards Aquifer. The less specific mental modeler concept map is the final product showing how the most positive and negative factors can relate to one another in affecting the aquifer itself. This allowed the understanding of how to interrelate these factors on the respective programs of Insight Maker, Matlab, and Twine in creating our models.
DOI: 10.6084/m9.figshare.24183696.v1
title: Annotation results of <i>Monochamus</i> <i>alternatus</i><i> </i>genome

description: Annotation results of <i>Monochamus</i> <i>alternatus</i><i> </i>genome using eggNOG
DOI: 10.6084/m9.figshare.25334257.v1
title: Data for Gastrointestinal Disorder Prediction

description: Gastrointestinal (GI) disorders, affecting parts of the digestive system like the stomach and intestines, can be challenging to diagnose, even for skilled gastroenterologists, due to varying presentations. Early diagnosis is crucial for effective treatment, but the review process is time-consuming and labor-intensive. Computer-aided diagnostic (CAD) methods offer a solution, automating the diagnostic process to save time, reduce workload, and minimize the risk of overlooking critical signs. In recent years, many CAD systems have been developed using Machine Learning and Deep Learning approaches to address this issue. Despite preliminary promise, these existing CAD systems still need to be improved to achieve better performance on larger datasets for safety and reliability purposes before being applied in practical medical diagnostics. In our study, we developed a more efficient CAD system to classify eight types of GI images using Transfer Learning (TL) incorporated with the attention mechanism. The combination of TL strategy and attention mechanism showed promising outcomes. Our findings demonstrated that ConvNeXt is an effective pre-trained network for feature extraction and ConvNeXt+Attention (our proposed method) is a robust CAD system that outperformed other state-of-the-arts.
DOI: 10.6084/m9.figshare.5554555.v1
title: Experiment HaLT-SubjectA-160223-6States

description: Experiment in which subject performed 6 imageries of left and right hand motion, left and right leg motion, tongue motion, and a passive state.
DOI: 10.6084/m9.figshare.16950958.v1
title: Supplementary Material for: Association of PNPLA3 I148M with liver disease biomarkers in Latinos

description: Introduction. Liver disease accounts for approximately 2 million deaths per year worldwide. The majority of liver diseases are due to complications of cirrhosis, viral hepatitis, and hepatocellular carcinoma. Increased levels of alanine aminotransferase (ALT) and aspartate aminotransferase (AST) may indicate liver disease. Moreover, there are additional noninvasive liver fibrosis indices that help to estimate liver damage, including AST to ALT ratio, AST to platelet ratio index (APRI), fibrosis-4 (FIB-4) score, and nonalcoholic fatty liver disease (NAFLD) fibrosis score. The aims of the present study were to (1) perform an association analysis of the patatin-like phospholipase domain containing 3 (PNPLA3) I148M (rs738409) variant with ALT, AST, and various liver fibrosis indices, and (2) determine whether there are gender related-differences in these associations. Methods. We obtained demographic, anthropometric, and metabolic phenotypes from Latino adult participants (n = 503, 64% female, 36.4 ± 0.5 years) from the Arizona Insulin Resistance (AIR) registry. SNP genotyping of I148M was performed using the TaqMan allelic discrimination assay. We used linear regression for the association analyses of the genotypes with ALT, AST, and the various liver fibrosis indices. We included genotype, age, body mass index (BMI), and alcohol status in the linear regression model. Results. The variant I148M was in Hardy-Weinberg equilibrium, with genotype distribution: non-risk CC = 118, heterozygous CG = 246, and risk GG = 139. The G allele was significantly associated with increased ALT and AST levels (p = 7.8 x 10-7 and p = 9.7 x 10-6, respectively). Moreover, we showed that the G allele was significantly associated with higher APRI (p = 3.7 x 10-7) and FIB-4 score (p = 4.1 x 10-3). When we analyzed the data by gender, we observed similar significant trends for ALT, AST, and APRI (all, p &lt; 0.01). In females, the G allele was significantly associated with increased FIB-4 score (p = 6.9 x 10-3), which was not observed in the males (p &gt; 0.05). There was no association of the I148M variant with AST/ALT ratio nor NAFLD risk score, whether analyzed in all adults or by gender. Discussion/Conclusion. Our findings provide additional evidence of an association of PNPLA3 I148M with several liver disease biomarkers in male and female Latinos residing in the Southwest of the United States.
DOI: 10.6084/m9.figshare.24164967.v1
title: Code Book Dynamic Tape

description: The code book of Data set (cleaned data set_Dynamic taping 2022), containing information about the numerical codes of categorical variables is created and attached.
DOI: 10.6084/m9.figshare.3558240.v1
title: Supplement 1. A tutorial to perform fourth-corner and RLQ analyses in R.

description: File List suppl-1.pdf (MD5: d238efc445a572b0a83024eb52886bc1)Description The file suppl-1.pdf is a tutorial showing how the fourth-corner and RLQ analyses can be performed using the ade4 package for R. The data set presented in the paper is used to illustrate the methods.
DOI: 10.17632/9n4wzwc4mc
title: The right to benefit: Using videos to encourage citizen involvement in resource revenue management (Replication data and instructions)

description: The analysis for this article was performed in STATA/MP 18.0. 
The replication instructions include all code needed to reproduce the regression results presented in the main text of the article and the appendices.
DOI: 10.17632/c93bf5v4bg
title: Sharing data and codes associated with Global distribution of sex differences in the incidence and prevalence of Any dementia, Alzheimer’s disease, and Vascular dementia: a systematic review and meta-analysis

description: Gender specific global dementia incidence and prevalence
DOI: 10.6084/m9.figshare.1318405.v1
title: Development of equitable algorithms for allocation of road funds and road scheme prioritisation in developing countries: a case study of Sub Saharan Africa

description: PhD Thesis: Weighted and Lexicographic Goal Programming model for Uganda National Roads Authority - Kampala Station FY 2014/15 (Worked Example).
DOI: 10.6084/m9.figshare.13838819.v1
title: Instances of "A new model for updating origin-destination matrices and path choice probabilities in public transportation networks", Chavez-Hernández, Juérez Valencia, Ríos Mercado, and Ríos Solís

description: Instances of the article. Abstract: The inverse problem of estimating an actual origin-destination (OD) matrix is one of the most important public transit planning steps. Most of the time, the route choice probabilities by which a user transits along the network are first calculated, and then the OD matrix is updated. In this article, these two steps are solved simultaneously by an integer linear programming model based on partial knowledge of the transit segment flow along the network. A novelty in our methodology to avoid a quadratic objective function is to measure the difference between the reference and the estimated OD matrices by defining demand deficits and excesses for the estimated OD matrix. To test our methodology, we build an instance generator based on small-world graphs to mimic real transit networks. The results are compared with an augmented Lagrangian model solved by the dual ascent and multipliers method. Our integer linear model yields high-quality estimators of the actual OD matrices, the exact flow volume segment counts, and an adequate interval for the route choice probabilities. Additionally, we test our methodology in a real-world case from the city of Monterrey, Mexico.
DOI: 10.6084/m9.figshare.27265410.v1
title: seurat.wnn.peak.rds

description: This repository contains the data necessary to reproduce the results from the SpatialMuxSeq vignette (https://rpubs.com/LiranM/SpatialMuxSeq), featured in our paper "Multiplexed Spatial Mapping of Chromatin Features, Transcriptome, and Proteins in Tissues." To ensure full reproducibility of the results, we have provided a Seurat object that includes all omics layers. For further details and access to all relevant code, please visit our GitHub repository: https://github.com/liranmao/Spatial_multi_omics.
DOI: 10.6084/m9.figshare.28929626.v1
title: test.xlsx

description: test
DOI: 10.17632/ccxtpdyhfj
title: Synthesis, testing and characterisation of silica-supported nickel phosphide reverse water-gas shift catalysts with varying Ni/P atomic ratios: supplementary materials

description: Silica-supported nickel phosphide catalysts with varying Ni/P atomic ratios (12/5, 2, 1, and 0.5) and 15 wt.% Ni-loading are synthesized. The synthesized catalysts are calcined and subjected to Temperature Programmed Reduction (TPR) analysis to evaluate Hydrogen consumption. Pre-reaction X-ray diffraction (XRD) analysis is performed on all calcined samples after reduction and passivation. The reduced catalysts are tested for the reverse water-gas shift reaction and post-reaction XRD analysis is performed on them. Stability tests are conducted on catalysts with Ni/P atomic ratios of 12/5 and 2, followed by XRD analysis of post-stability samples. The elemental composition of the catalysts at each stage is evaluated via inductively coupled plasma mass spectroscopy (ICP-MS) analysis. All experimental data is made available for re-use through this platform.
DOI: 10.6084/m9.figshare.12093471.v1
title: clustering and annotation metadata

description: There are 3 files in seurat_results.zip: one containing the principal component values used for dimensionality reduction and clustering of all MSN, one containing the computed tSNE values, and one containing the louvain clusters. The metadata_final.csv file contains the annotated major cell types and subtypes.
DOI: 10.6084/m9.figshare.28122071.v1
title: Dataset for EVRP-TW

description: Dataset for electric vehicle routing problem under charging failure risk. Three types of data are included. The first is the small-scale EVRP-TW baseline dataset. The second category is large-scale data, which is the Solomon Classical dataset. The third category is based on real-world data sets of distribution centers, demand points, and charging stations in the Beijing area.
DOI: 10.17632/32kwbxyvj9
title: Massively parallel data processing for quantitative total flow imaging with optical coherence microscopy and tomography

description: Abstract We present an application of massively parallel processing of quantitative flow measurements data acquired using spectral optical coherence microscopy (SOCM). The need for massive signal processing of these particular datasets has been a major hurdle for many applications based on SOCM. In view of this difficulty, we implemented and adapted quantitative total flow estimation algorithms on graphics processing units (GPU) and achieved a 150 fold reduction in processing time when compared to a f... Title of program: CudaOCMproc Catalogue Id: AFBT_v1_0 Nature of problem Speed up of data processing in optical coherence microscopy Versions of this program held in the CPC repository in Mendeley Data AFBT_v1_0; CudaOCMproc; 10.1016/j.cpc.2017.03.008 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/8gcncg6zkt
title: ARCOS, a computational approach for automatic recognition of collective signalling

description: This repository contains supplementary data for the publication: Gagliardi et al. (2022) "Automatic detection of spatio-temporal signalling patterns in cell collectives". 

The supplementary data contains:

* CSV files with image segmentation results,
* R notebooks with results of the analysis,
* Jupyter notebooks to view the results in the napari image viewer.

Raw image data available upon request.
DOI: 10.17632/mnzhfcf36s
title: data of Phospho Explorer Antibody Array (PEX100; Full Moon BioSystems, Inc., CA, USA)

description: colon tissue of mice fed with high-fat diet for 16 weeks
DOI: 10.17632/zdsfjd8gg6
title: HRSP split rail theft

description: Split rail theft data for HRSP. Unit of analysis is 1 x 1 km grid cells.
DOI: 10.17632/zs42wxbvyf
title: Recycled aggregate-metakeolin enhanced concrete Compressive Strength DataSet

description: This dataset has been uploaded as a supplementary file for the article "doi.org/10.1016/j.conbuildmat.2025.139897".
DOI: 10.6084/m9.figshare.19731952.v1
title: Supplementary Material - The changing face of drug-induced adrenal insufficiency in the Food and Drug Administration Adverse Event Reporting System

description: Supplementary material + Supplementary table 2.
DOI: 10.6084/m9.figshare.26315218.v1
title: A unified method for detecting phylogenetic signals in continuous traits, discrete traits, and multi-trait combinations (Yao and Yuan 2024 submitted to Ecology Letters)

description: Study Overview Phylogenetic signals are widely used in the ecological and evolutionary research area. Trait data used to detect phylogenetic signals can be continuous or discrete. Existing indices are either designed for continuous variables or for discrete variables, but not both. Moreover, most existing methods could only perform phylogenetic detection for each trait separately. Here, we developed a method, called <i>M</i> statistic, to detect the phylogenetic signals in continuous traits, discrete traits, and combinations of multiple traits. We compared the performance of our new approach with existing commonly used indices using simulated continuous data. The results showed that our method is not inferior to the existing methods. It also performed well in handling discrete variables and multi-variable combinations. Then we used the trait data of turtles (Testudines) to demonstrate the utility of our new method. We provided an R package called “phylosignalDB” to facilitate all calculations. Description of the Data and Code File "README.txt" - The summary file.Plot Figure 1-4 "Plot.R" - R code for ploting figure 1-4.Case Study for Turtles"ecological trait dataset for turtles.xlsx" - ecological trait dataset for turtles."turtle_signals.R" - R code for detecting phylogenetic signals in ecological traits of turtles.Simulation Study"Simulation.R" - R code for simulation study."sim_signals.rds" - result dataset of simulation study.NotesThe code for the <i>M</i> statistics has been written as the R package <b>phylosignalDB</b>. The package is available on GitHub: https://github.com/Dylan-Yao/phylosignalDB.We used the maximum clade credibility tree with 288 tips provided in Thomson et al. (2021) for the phylogeny of turtles. The phylogeny file "bd.mcc.median_heights.tre" can be obtained from Thomson et al. (2021).Thomson, R.C., Spinks, P.Q. & Shaffer, H.B. (2021) A global phylogeny of turtles reveals a burst of climate-associated diversification on continental margins. Proceedings of the National Academy of Sciences, 118(7): e2012215118.
DOI: 10.17632/vr7d2d6jcx
title: hydraulic parameter

description: This dataset contains the mean flow velocity, resistance coefficient, Froude number, Reynolds number, and flow depth data corresponding to different combinations of slope gradient, flow diascharge, and sediment load conditions in rill flow.
DOI: 10.6084/m9.figshare.28846937.v1
title: Supplementary Material for: Focused Ultrasound in the Treatment of Epilepsy: Current Applications and Future Directions

description: Epilepsy is the fourth most common neurological disorder, affecting nearly 1% of the global population. Despite recent advancements in medical therapies, approximately one-third of patients remain refractory to treatment, necessitating consideration of surgical intervention. Historically, epilepsy surgery has been invasive and maximalist in nature, involving extensive brain resections with significant risk for morbidity. However, emerging approaches offer promising, less-invasive alternatives. One such technique is focused ultrasound (FUS), a rapidly evolving, incisionless, image-guided therapy that allows physicians to precisely target specific brain regions with ultrasonic energy to achieve a range of therapeutic effects. Currently, FUS has been clinically applied for targeted brain ablation (high intensity or HIFU) and neuromodulation (low intensity or LIFU), with recent basic science applications of sonogenetics and targeted drug delivery through the blood brain barrier (Precise Intracerebral Noninvasive Guided, or PING, Surgery) offering new opportunities for clinical translation. This review summarizes pre-clinical and clinical applications of FUS for epilepsy treatment, addresses challenges to implementation, and explores key areas for future research.
DOI: 10.17632/ck58w4rstv
title: Ca/Al ratio in sediments from the Santa Catarina Plateau and the Ioffe Drift

description: The dataset includes results of downcore Ca/Al ratio measurements in sediments from the Santa Catarina Plateau, Rio Grande Rise and the Ioffe Drift. Cores AI-3316-3321 and AI-3655 were studied using the Geotek MSCL-XYZ core workstation (with Geotek XRF-spectrometer, Rh anode,  10kV (70 μA) with no filters, 40kV (95 μA) with 125um Ag-filter, He-flushed cell, spot size: 15x10 mm, step: 1 cm, Chemplex Prolene 416 film - 4.0μm). The rest of the cores were analyzed using the Olympus Vanta C  portable XRF-spectrometer (Ag anode, geochem(2) mode; 10 kV (131 μA), 40 kV (87 μA),  step: 2 cm, Mylar film - 6 μm).
DOI: 10.17632/csb2scywmp
title: Artificial event log of an e-commerce process 

description: The synthetic event logs in this dataset were automatically generated using CPN Tools in the XES format. The generated event logs result from executing the provided process model through the simulation feature in CPT Tools. 

The Petri net model (ecom_web_application.cpn) we used was designed based on the specification of a popular open-source e-commerce shopping website named OsCommerce (version 2.3.4.1). The following aspects were prioritized when developing the model:
• Including all the three supported roles by OsCommerce (admin, guest, and registered
users).
• Enforcing business rules through guard inscription associated with transitions.
• Allowing a more realistic behavior through weighted random selection.
• Maintaining users’ state during the simulation.

Simulating the execution of the OsCommerce-based process model yielded an XES event log of 910 cases. Around 10,500 events from 56 classes were distributed among the cases. The events count per case ranged from 0 to 105 with a mean value of 11, and the average number of event classes per case was around 6.

The generated event log reflected realistic behaviors for all the supported roles by assigning weights to the simulator transition decisions: 10% of customers placed an order, admin traffic represented 15% of the overall, customers did not usually enter long loops (e.g., add/remove from cart, login/logout), and customers followed links within the website as intended.
DOI: 10.17632/nhs6mjg6yy
title: LOCBEEF:  Beef Quality Image dataset for Deep Learning Models

description: The LOCBEEF dataset contains 3268 images of local Aceh beef collected from 07:00 a.m - 22:00 p.m, more information about the clock is shown in Fig. The dataset contains two categories of directories, namely train, and test. Furthermore, each subdirectory consists of fresh and rotten. An example of the image can be seen in Figs. 2 and 3. The directory structure for the data is shown in Fig. 1. The image directory for train contains 2228 images each subdirectory contains 1114 images, and the test directory contains 980 images for each subdirectory containing 490 images. For images have a resolution of 176 x 144 pixel, 320 x 240 pixel, 640 x 480 pixel, 720 x 480 pixel, 720 x 720 pixel, 1280 x 720 pixel, 1920 x 1080 pixel, 2560 x 1920 pixel, 3120 x 3120 pixel, 3264 x 2248 pixel, and  4160 x 3120 pixel.

The classification of LOCBEEF datasets has been carried out using the deep learning method of Convolutional Neural Networks with an image composition of 70% training data and 30% test data. Images with the mentioned dimensions are included in the LOCBEEF dataset to apply to the Resnet50.
DOI: 10.17632/zy629rxh99
title: Energy consumption before and after design changes

description: The data visualized in the plot represents energy consumption over a specified time period, comparing two scenarios: before and after certain design changes.

X-axis (Time): The horizontal axis represents time in hours, spanning from 0 to 10 hours.

Y-axis (Energy Consumption): The vertical axis represents energy consumption. The energy consumption values are calculated based on the functions E(t) and E_prime(t).

Plot: Two lines are plotted on the graph, each representing energy consumption over time for a different scenario:

Before Changes: This line represents energy consumption before the design changes. It is calculated using the function E(t).
After Changes: This line represents energy consumption after the design changes. It is calculated using the function E_prime(t).
Legend: The legend on the plot indicates which line corresponds to each scenario: "Before Changes" and "After Changes".

Title: The title of the plot is "Energy Consumption Before and After Design Changes", providing a clear indication of what the plot represents.

Gridlines: Gridlines are added to the plot for better visualization and reference.

Overall, this visualization allows for a comparison of energy consumption trends before and after the implementation of design changes, providing insights into the effectiveness of the changes in managing energy consumption over time.