cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28395114.v2
title: Fast Signal Region Detection With Application to Whole Genome Association Studies

description: Research on the localization of the genetic basis associated with diseases or traits has been widely conducted in the last few decades. Scan methods have been developed for region-based analysis in whole-genome association studies, helping us better understand how genetics influences human diseases or traits, especially when the aggregated effects of multiple causal variants are present. In this paper, we propose a fast and effective algorithm coupling with high-dimensional test for simultaneously detecting multiple signal regions, which is distinct from existing methods using scan or knockoff statistics. The idea is to conduct binary splitting with re-search and arrangement based on a sequence of dynamic critical values to increase detection accuracy and reduce computation. Theoretical and empirical studies demonstrate that our approach enjoys favorable theoretical guarantees with fewer restrictions and exhibits superior numerical performance with faster computation. Utilizing the UK Biobank data to identify the genetic regions related to breast cancer, we confirm previous findings and meanwhile, identify a number of new regions that suggest strong associations with risk of breast cancer and deserve further investigation. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.17632/4hh5x3bp94
title: Statistical Methods for "Association of HCG Level with Ultrasound Visualization of the Gestational Sac in Early Viable Pregnancies"

description: The data and Stata code for the logistic regression modeling and model evaluation are included here for the corresponding study.
DOI: 10.17632/n3xpw2txcm
title: Deriving ecological site metrics for mapping rangeland resource units in an extensive East African pastoral landscape

description: GIS data and data codes supporting satellite data interpretation scheme for categorizing and mapping different rangeland resource units in an extensive African landscape where field observation is irregular and sparse.
DOI: 10.6084/m9.figshare.23750751.v1
title: SWI simulation code

description: This file includes codes for simulation island groundwater.
DOI: 10.6084/m9.figshare.28916186.v1
title: Supplemental Table S4.docx

description: Suppelementary Table4. Subgroup analysis of cardiorespiratory fitness and vascular health index.
DOI: 10.17632/49hmcxgjnr
title: Data for Freeman et al Viral Glycosylation

description: These files contain raw data and data sets for teh manuscript by  Freeman et al., 'Virion glycosylation influences mycobacteriophage immune recognition'
DOI: 10.17632/sr2vj4ttct
title: The Impact of Chatbots Based on Large Language Models on Second Language Vocabulary Acquisition

description: To examine the impact of generative chatbots on Large Language Models on Second Language Vocabulary Acquisition. In this study, 52 English as a Foreign Language (EFL) students were randomly assigned to two groups: one with the assistance of a Chatbot based on Large Language Models and one without. Both groups learned the same series of target words over eight weeks. Post-treatment assessments, including systematic observation and quantitative tests assessing both receptive and productive vocabulary knowledge, were administered immediately after the study and again two weeks later. The findings demonstrate that employing an AI Chatbot based on Large Language Models significantly aids students in acquiring both receptive and productive vocabulary knowledge during their second language learning journey. Data pertain to the interactions with the chatbot, while assessment includes data from the pre-assessment, post-assessment, and delay assessment.
DOI: 10.6084/m9.figshare.28373486.v1
title: <b>Shoulder-KX</b><b>:</b><b> </b><b>Kinematic Dataset of Shoulder Exercise Performance</b>

description: Shoulder-KX comprises kinematic data extracted from the performance of shoulder exercises, using pose estimation from the BlazePose family of models to track 3D landmarks for 33 body parts across video frames.
DOI: 10.17632/98ph95fw6n
title: Transcriptomic profiling of EAE astrocytes and microglia +/- B cell depletion

description: ACSA-2+ astrocytes or CD11b+ microglia/macrophages were isolated from the EAE (MOG 1-125) spinal cord 3 days after animals reached a clinical score of 2.5 when animals were given either anti-CD19/anti-B220 or control antibody. Each treatment group consists of 3-4 RNA samples. Sequencing was performed using TruSeq Stranded Total Gold. Batch effect mitigation was done to remediate batch effects across two sequencing batches. Limma-voom was utilized for differential expression analysis. Each file contains Gene ID, estimated log2 fold change (logFC), average log2 expression (AveExpr), test statistic (t), raw P-value (P.value), FDR adjusted P-value (adj.P.value), and B-statistic (B). "Comparison 1" file is B cell depleted EAE astrocytes vs control EAE astrocytes. "Comparison 2" file is B cell depleted EAE astrocytes vs healthy control astrocytes. "Comparison 3" file is control EAE astrocytes vs healthy control astrocytes. "Comparison 4" file is B cell depleted EAE microglia vs control EAE microglia. "Comparison 5" file is B cell depleted EAE microglia vs healthy control microglia. "Comparison 6" file is control EAE microglia vs healthy control microglia. "BatchEff_PCA" file has PCA plots of the two sequencing batches showing Cell Type 1 (astrocytes) and Cell Type 2 (microglia).
DOI: 10.17632/nshn8hhd6d
title: Mitochondrial networks in budding yeast

description: Here we provide data and code used in the paper "Mitochondrial fission and fusion dynamics generate efficient, robust, and evenly-distributed network topologies in budding yeast cells".
DOI: 10.17632/sz2289f435
title: Supplementary Material

description: Supplementary Material for: "Investigating Historic Cases of Pyoderma Gangrenosum in Myelodysplastic Syndrome and Chronic Myelomonocytic Leukemia for Possible VEXAS Syndrome: A Systematic Review"
DOI: 10.17632/xrf3h89t73
title: Data for “Co-firing biomass and coal with retrofitted CCS can be a negative carbon solution for China’s power sector”

description: Data for “Co-firing biomass and coal with retrofitted CCS can be a negative carbon solution for China’s power sector”
DOI: 10.17632/p467vfcb8j
title: SCATTAMPDIAMOL — A program to calculate scattering amplitudes for electron scattering from state selected rotating diatomic molecules

description: Abstract The present program package computes the scattering amplitudes for electron frattering from state selected rotating diatomic molecules from the corresponding fixed-nuclei T-matrices within the adiabatic approximation. The program is written in FORTRAN 77. Title of program: SCATTAMPDIAMOL Catalogue Id: ACVE_v1_0 Versions of this program held in the CPC repository in Mendeley Data ACVE_v1_0; SCATTAMPDIAMOL; 10.1016/0010-4655(94)90171-6 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/rm33xddkvn
title: Data for: An ERP investigation of the Working Memory Stroop effect

description: Behavioural and ERP data
DOI: 10.17632/4kyyxd4gdj
title: Data for: Hot nasal packing with hot saline irrigation for hemostasis after adenoidectomy: a prospective randomized controlled study

description: Patients data without name
DOI: 10.17632/8mf4y2srgh
title: KINE-ADL BE-UJI: Kinematics of human hand dataset for feeding and cooking tasks

description: This dataset contains a database of human hand kinematics with data collected during the performance of a wide variety of activities of daily living involving feeding and cooking. The data were recorded using CyberGlove instrumented gloves on both hands measuring 18 degrees of freedom on each. A total of 20 subjects participated in the recordings, and performed the tasks in a natural non-directed way using 66 different objects. This dataset contains a total of 1160 continuous calibrated recordings taken at 100Hz during the performance of the tasks, with filtered signal. This database can be useful for machine learning purposes and prostheses control, as well as for the characterization of healthy human hand kinematics.
DOI: 10.17632/zptvcx6yrx
title: Dataset for: Reference data on hand grip and lower limb strength using the Nintendo Wii Balance Board: A cross-sectional study of 354 subjects from 20 to 99 years of age

description: This file contains the reference rawdata on muscle strengh, balance and reaction time measured with the Nintendo Wii Balance Board
DOI: 10.17632/dxyvxk6h96
title: Indoor Temperature and Relative Humidity dataset

description: The dataset in this article contains the information about the indoor temperature and relative humidity, acquired during a month with twelve sensors for Xiaomi Mijia at the laboratory of Control Systems and Robotics of the Instituto Tecnológico Metropolitano, Medellín – Colombia. The data were collected from October 1 to November 30, 2019, under uncontrolled operating conditions. The dataset consists of a total of 2,100,495 values distributed in the timestamp, temperature, and relative humidity, contained in a mat file. The first column corresponds to the timestamp, the next twelve columns correspond to the relative humidity measurements and the last twelve columns correspond to the temperature measurements. In addition, the data are presented in text format separately in twelve files that contain on each line the values of the timestamp, relative humidity, and temperature separated by commas. Each file contains an average of approximately 58,300 values of each variable.
DOI: 10.17632/phvh82vd9g
title: Effects of psoriasis and psoralen exposure on the somatic mutation landscape of the skin

description: Data supporting our manuscript "Effects of psoriasis and psoralen exposure on the somatic mutation landscape of the skin" by Olafsson et al.
DOI: 10.6084/m9.figshare.25395358.v2
title: Dataset of 'Carbonate weathering enhances nitrogen assimilatory uptake in rivers globally'

description: Dataset of 'Carbonate weathering enhances nitrogen assimilatory uptake in rivers globally'
DOI: 10.6084/m9.figshare.5426488.v1
title: Genome - Ichthyophonus hoferi

description: Genome assembly and annotation of Ichthyophonus hoferi:<i> </i><br>- XXXX_gDNA.fasta: "Genome assembly (fasta format)" <br>- XXXX_long.annot.gff: "Gene annotation (GFF)"<br>- XXXX_long.cds.fasta: "Predicted transcripts (CDS only, fasta format)"<br>- XXXX_long.pep.fasta: "Predicted peptides (fasta format)"<br>If you use this data, please cite: Dynamics of genomic innovation in the unicellular ancestry of animals, Grau-Bové <i>et al., </i>eLife 2017 <br>Genome assembly courtesy of Krista M. Nichols (NOAA Fisheries) and Chris Whipps (SUNY-ESF).<br><br>www.multicellgenome.com
DOI: 10.17632/7ck5tpszt3
title: PhotonsAnomaliesFalsification_E_Brauns

description: Karl Popper's type of falsification, through theoretical and experimental anomalies, of multiple contemporary paradigms based on light phenomena.
DOI: 10.17632/hg4m522fc5
title: R codes for the analysis carried out in Part 2 of the article: Effectiveness of exercise-based interventions for reducing the injury incidence in youth team-sport players: A systematic review with network meta-analysis

description: R codes for the analysis carried out in Part 2 of the article "Effectiveness of exercise-based interventions for reducing the injury incidence in youth team-sport players: A systematic review with network meta-analysis" (Robles-Palazón et al.).
DOI: 10.17632/mhnzkt3gz4
title: Data for: Effect of excess air/fuel ratio and methanol addition on the performance, emissions, and combustion characteristics of a natural gas/methanol dual-fuel engine

description: Data for effect of excess air/fuel ratio and methanol addition on the performance, emissions, and combustion characteristics of a natural gas/methanol dual-fuel engine
DOI: 10.17632/mmph6m2tyt
title: Data for: High-resolution Global Pathways to Achieve 100% Electricity Access in 2030

description: Data for the figures published in the article
DOI: 10.17632/mtwjm37p35
title: AI integrated Architectural Design Pedagogy

description: Architectural Design is a core component in Architecture, Engineering, Construction and Operations collaborative. With the arrival of Artificial Intelligence, the industry is pushing for smart and sustainable solutions. The corresponding mechanism of teaching young Architects to design in immersive environments requires a overhaul of the studio pedagogy. The taxonomy of computer augmented studio is under investigation with acceptability to computing technology and tools.
DOI: 10.6084/m9.figshare.29126879.v1
title: Y-Chromosomal STR Raw Data from Spanish Roma Population

description: A total of 64 Spanish Roma male samples were typed for 27 Y-STR loci using the <b>Yfiler® Plus PCR Amplification Kit</b> (Applied Biosystems/Thermo Fisher Scientific). Four loci were omitted from the final dataset as they are not recognized or supported by the haplogroup predictor software employed in our analysis. An additional 69 Spanish Roma male samples were typed for 17 Y-STR loci using the <b>AmpFlSTR® Yfiler® PCR Amplification Kit</b> (Applied Biosystems, Inc.).This dataset includes the raw allele data from both kits and supports population and forensic genetic analyses.All participants self-identified as Spanish Roma, and appropriate informed written consent was obtained from all donors.
DOI: 10.17632/n8wzg53f7p
title: Raw data of the Treatment of glycosylphosphatidylinositol-anchorless prion disease with edaravone

description: Data of iPSC, cortical neuron, oxidative stress test, edaravone challenge test, PrP aggression, patient clinical results, qRT-PCR, and Western Blotting. All raw data involving with the above manuscript has been made up with datasheet and uploaded.
DOI: 10.17632/yynb8t9x3d
title: Real-World PPG dataset

description: Photoplethysmograph (PPG) is a physiological signal used to describe the volumetric change of blood flow in peripherals with heart beats. A hardware configuration is employed to capture PPG signals from a number of persons using an IoT sensor. This dataset contains PPG signals from 35 healthy persons , with 50 to 60 PPG signal for each one. The age range of participants is 10-75 years, with an average age of 28.4 years. Each PPG signal contains 300 samples (6 seconds recording) with 50 sample/second sampling rate. The dataset is split into two files: one for training the classifier which contains 1374 PPG signal (about 66% of complete dataset), and the other file to test the classifier which contains 700 PPG signal (about 34% of complete dataset).
DOI: 10.6084/m9.figshare.22974983.v2
title: StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For Multi-Agent Environments

description: Fine-grained visual reasoning tasks in multi-agent environments such as event prediction, agent type identification, or missing data imputation are important for multiple applications (e.g., autonomous surveillance over sensor networks and subtasks for reinforcement learning (RL)). StarCraft II game replays encode intelligent (and adversarial) multi-agent behavior and could provide a testbed for these tasks; however, extracting simple and standardized representations for prototyping these tasks is laborious and hinders reproducibility. In contrast, MNIST and CIFAR10, despite their extreme simplicity, have enabled rapid prototyping and reproducibility of ML methods. Following the simplicity of these datasets, we construct a benchmark fine-grained multi-agent categorization dataset based on StarCraft II replays that exhibit complex multi-agent behaviors, while still being as easy to use as MNIST and CIFAR10. Specifically, we carefully summarize a window of 255 consecutive game states to create 3.6 million summary images from 60,000 replays, including all relevant metadata such as game outcome and player races. We develop three formats of decreasing complexity: Hyperspectral images that include one channel for every unit type (similar to multispectral geospatial images), RGB images that mimic CIFAR10, and grayscale images that mimic MNIST. We show how this dataset can be used for prototyping fine-grained multi-agent categorization methods. All datasets, code for extraction, and code for dataset loading can be found at<br> https://starcraftdata.davidinouye.com/.
DOI: 10.6084/m9.figshare.29194715.v1
title: Adverse events associated with biologics approved for gMG use

description: his dataset supports a real-world pharmacovigilance study that evaluates and compares adverse events (AEs) associated with five biologics—efgartigimod, rozanolixizumab, eculizumab, ravulizumab, and zilucoplan—used in the treatment of generalized myasthenia gravis (gMG). The data were extracted from the FDA Adverse Event Reporting System (FAERS) covering the period from Q3 2023 to Q4 2024. Disproportionality analysis (PRR, ROR, IC, EBGM) and multivariable logistic regression were performed to identify AE signals and risk factors for hospitalization. The dataset includes de-duplicated AE reports, signal detection results, and regression analysis inputs. This resource can be used to support further safety assessments and comparative studies of gMG biologics.
DOI: 10.17632/bjxvjf8cwg
title: VOLUMETRIC PROPERTIES OF ASPHALT CONCRETE MADE FROM ZANZIBAR CORALLINE AGGREGATES

description: This paper presents the unusual engineering properties of coralline aggregates used for asphalt binder course production during the rehabilitation of Zanzibar airport (Tanzania). The geotechnical and geomechanical properties of the coralline aggregates, asphalt concrete mix design and the volumetric parameters achieved during mix design are discussed. Asphalt concrete production and the placing procedures are also discussed. Finally, the paper recommends the measures to be taken when using coralline aggregates for asphalt concrete production.
DOI: 10.17632/sk9v5w64br
title: Healthy and Unhealthy Areca Nut Images 

description: Images of raw areca nuts are collected by visiting different areca nut plantations. The healthy and unhealthy areca nuts images are available in the dataset. Different images of areca nuts with various textures and colors (yellow, green, and red)  were taken against various backgrounds. The photographs that are collected have not undergone any kind of processing. These images can be used to train machine learning and deep learning models to classify healthy and unhealthy areca nuts. Further the images are preprocessed to decrease the various background and noise and are segmented for better classification accuracy. The repository contains images of raw areca nuts with husk unlike other repositories that contains boiled and processed areca nuts without husk. This enables a better training of the classification system.
DOI: 10.6084/m9.figshare.11220629.v1
title: Talking to Teens about Pain: A Modified Delphi Study of Adolescent Pain Science Education

description: Persistent pain is a prevalent condition that negatively influences physical, emotional, social and family functioning in adolescents. Pain science education is a promising therapy for adults, yet to be thoroughly investigated for persistent pain in adolescents. There is a need to develop suitable curricula for adolescent pain science education. An interdisciplinary meeting of 12 clinicians and researchers was held during March 2018 in Adelaide, South Australia. An <i>a priori</i> objective of the meeting was to identify and gain consensus on key learning objectives for adolescent pain science education using a modified-Delphi process. Consensus was reached via a modified Delphi process for seven learning objectives to form the foundation of a curriculum: 1) Pain is a protector; 2) The pain system can become overprotective; 3) Pain is a brain output; 4) Pain is not an accurate marker of tissue state; 5) There are many potential contributors to anyone’s pain; 6) We are all bioplastic and; 7) Pain education is treatment. Recommendations are made for promising areas for future research in adolescent pain science education.
DOI: 10.6084/m9.figshare.28665095.v1
title: Data from Estrada F., et al., 2025. Urban and non-urban contributions to the social cost of carbon. (SCC estimates for different SSPs)

description: The Matlab files in this dataset contain spatially explicit estimates of the SCC calculated for different SSP.
DOI: 10.17632/dyx5cgxdrf
title: Prakriti constitutions of North Indian and Western Indian (Vadu) cohorts

description: The dataset describes anonymized data about Prakriti constitutions of North Indian and Western Indian (Vadu) cohorts. The Northern India set consists in 86 records described by 105 conditional attributes (features) and the decision one attribute. The Western India set consists in 131 records described by 133 conditional attributes (features) and the decision one attribute.
DOI: 10.17632/nz3rtgwdyy
title: Modelling Lane-changing Behaviour of Vehicles at Merge Section Under Mixed Traffic Conditions

description: The traffic flow in southeast Asian countries comprises of vehicles of various static and dynamic characteristics (mixed traffic conditions). In these conditions, there exists free movement (lane-less movement) behaviour particularly amongst the two-wheelers. In this traffic regime, the manoeuvre of vehicles is a complex phenomenon leading to integrated driving behaviour. The aim of this article is to assess the lane-changing behaviour of vehicles under mixed traffic stream at the merged section of urban roads. The lane-changing model MOBIL (Minimising Overall Braking Induced by Lane Changes) is combined with the Intelligent Driver Model (IDM) as an underlying car-following model to implement lane-changing rules for different vehicle classes, upon applying the "Politeness", and "Vehicle-type" factors. The traffic flow during peak hours at the merging section is analysed microscopically through video data. Based on these data, the merging behaviour models for studying discretionary and mandatory lane changing behaviours are developed. The merging manoeuvre data from video recording is utilised to calibrate and validate the models. The findings from this article enable one to understand the lane-changing movements of different vehicle-types at merging sections. Also, the developed models can be utilised to mimic congested traffic stream realistically under mixed traffic conditions. Finally, this study provides a deeper insight into the safety management at uncontrolled junctions, thus enabling one to implement various traffic control measures.