cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/ymkbxkykwj
title: MCID of 6 commonly-used performance tests in patients with chronic musculoskeletal pain

description: Background Functional tests are widely used to measure performance in patients with chronic musculoskeletal pain. Our objective was to determine the Minimal Clinically Important Differences (MCID) for the 6-minute walk test (6MWT), the Steep Ramp Test (SRT), the 1-minute stair climbing test (1MSCT), the sit-to-stand test (STS), the Jamar dynamometer test (JAM) and the lumbar Progressive Isoinertial Lifting Evaluation (PILE) in chronic musculoskeletal pain patients. Methods A single-center prospective observational study was conducted in a rehabilitation center. Patients with upper-limb, lower-limb or neck/back lesions were included over a period of 21 months. The anchor-based, distribution-based and opinion-based approaches were used to determine the MCIDs. Results 838 chronic musculoskeletal pain patients were included. The estimation method and the lesion location had a significant influence on the results. MCIDs were estimated at +75m and +62m for the 6MWT (lower-limb and neck/back lesions, respectively), +18 steps and +19 steps for the 1MSCT (lower-limb and neck/back lesions, respectively) and +6kg for the JAM. The anchor-based method could not provide valid estimations for the three other scales, but distribution and opinion-based methods provided rough values of MCIDs for the SRT (+44w to +61w), the STS (-6 sec to -9 sec) and the PILE (+4kg to +7kg). Conclusion The above MCID estimations for the 6MWT, 1MSCT and JAM can be used in chronic musculoskeletal pain patients participating in vocational multidisciplinary rehabilitation programs or in therapeutic trials. The use of specific anchors might give better estimations of MCIDs for the three other scales in future research.
DOI: 10.6084/m9.figshare.17118986.v1
title: PR_supplemental document.docx

description: metasurface; holography; amplitude; phase modulation
DOI: 10.17632/k363z3kp3x
title: The final version of the 5D histogram package NORA

description: The presented software package is an advanced analogue of the famous HBOOK and, in part, ROOT packages.

The main features of the package are as follows.

Standard operations (accumulation, simulation, transformation) are extended up to 5D objects.

A new type of transformations of objects has been introduced, the x- transformation, which includes convolution of distributions.

Objects are accessed mainly by alphabetical name.

The formation of the object space is carried out using a data file, where the user can choose the form of setting attributes.

Automatic adjustment of object attributes is possible (only the number of channels is set).

The number of channels for each of the axes of the object is unlimited.

Operations between two objects (addition, subtraction, etc.) are possible with mismatched attributes. Only the ranks of the objects should match.

Data output is carried out in two forms, for graphics and for fit.

Group operations are provided for visualization, outputting files for graphics.

In the last version the program for x-converting 2D to 2D has been added.

A group of small programs has been added to simplify the user interface.

Improved representation of 2D objects, while removing the limit on the number of channels for all axes.

A number of bugs are fixed.

All programmes are written in FORTRAN-90.

The investigation has been performed at the Veksler and Baldin Laboratory of High Energy Physics, JINR.
DOI: 10.17632/ksxcmtwbhy
title: BDLENTIL: A comprehensive dataset of different lentils found in Bangladesh

description: The dataset contains 3,004 images of lentils (daal) commonly found in Bangladesh, highlighting the region's agricultural diversity and cultural importance of lentils in local diets. Each type is categorized by distinct features such as breed, shape, color, or husk, providing an organized and detailed classification. This results in a total of 30 categories, ensuring a balanced representation of lentils widely consumed across Bangladesh. This comprehensive collection serves as a valuable resource for researchers, farmers, and enthusiasts to study the rich variety and visual diversity of lentils integral to Bangladesh's agricultural heritage.
Types and Categories:
Adha Banga Dabli
Angkor
Banga Mashkalai
Black Kurti Kalai
Black Rajma Beans
Boro Shona Mugh
Chikon Shona Mugh
Dabli
deshi kheshari
Deshi Mashkalai
Deshi_Masoor
Earthy Reds and Browns Kurti Kalai
Green Mugh Dal
Halen dal
Indian Khesari
Indian Mugh Dal
Indian_Masoor
Kabuli Chana
Kangaro_Masoor
Motor Dal
Orhor_Dal_Light_Brown
Orhor_Dal_Off_White
Orhor_Dal_Red_Brown
Polished Booter Dal
Red Kurti Kalai
Red Rajma Beans
Shona Mugh
Unpolished Booter Dal
Unpolished_Mashkalai
White Rajma Beans
DOI: 10.17632/t2cht66xpr
title: Fault roughness and laboratory aftershocks

description: Laboratory data sets analyzed in GRL: "Fault roughness promotes earthquake-like aftershock clustering in the lab"
DOI: 10.6084/m9.figshare.27265428.v1
title: Preliminary disclosure of code and data.

description: This project provides the (preliminary) source code to fit the empirical retweeting probability of information spreading on online social networks.
DOI: 10.6084/m9.figshare.7073087.v1
title: Visualization of Eye-Tracking Scanpaths in Autism Spectrum Disorder: Image Dataset

description: We provide a dataset that includes visualizations of eye-tracking scanpaths with a particular focus Autism Spectrum Disorder (ASD). The key idea is to transform the dynamics of eye motion into visual patterns, and hence diagnosis-related tasks could be approached using image analysis techniques. The image dataset is publicly available to be used by other studies aiming to experiment the usability of eye-tracking within the ASD context. It is believed that the dataset can allow for the development of further interesting applications using Machine Learning or image processing techniques. For more info, please refer to the publication below and the project website.<br><b>Original Publication:</b>Carette, R., Elbattah, M., Dequen, G., Guérin, J, & Cilia, F. (2019, February). Learning to predict autism spectrum disorder based on the visual patterns of eye-tracking scanpaths. <i>In Proceedings of the 12th International Conference on Health Informatics (HEALTHINF 2019).</i><i><br></i><b>Project Website:</b>https://www.researchgate.net/project/Predicting-Autism-Spectrum-Disorder-Using-Machine-Learning-and-Eye-Tracking<b><br></b><br>https://mahmoud-elbattah.github.io/ML4Autism/<br>
DOI: 10.17632/x2jxhx6rhw
title: Medfly dataset

description: Medfly dataset from the field
DOI: 10.17632/yp7wt9cp3b
title: western blot for LRTOR

description: western blot raw data for "Long non-coding RNA LRTOR drives resistance to osimertinib in non-small cell lung cancer by boosting the YAP positive feedback loop".
DOI: 10.6084/m9.figshare.28256123.v4
title: <b>Soil Fungal Diversity, Network Structure and Distribution in Different Habitats of Southwestern Tibet</b>

description: This study applied ITS high-throughput sequencing to analyze the composition, diversity, and network structure of soil fungal communities in different habitats in the southwestern Tibetan Plateau.
DOI: 10.17632/j4wt48yw3n
title: Incremento de la Eficiencia y la Calidad en el Proceso de Tapicería para la Empresa “Aristas: Muebles y Diseños”

description: Documento de Tesis que corresponde a la implemetación de proyecto Lean Six Sigma sobre una empresa de muebles y sofás con el objetivo de aumentar la productividad y reducir los tiempos de producción en la línea de Tapicería. Se presentan todas las fases de la metodología pasando por la definición de los problemas, la recolección de datos, el análisis de esta información, el diseño y justificación de propuesta de solución mediante el software Simio y la presentación de las gráficas de control respectivas.
DOI: 10.17632/jb25b25ndf
title: Inflation, default and sovereign debt: The role of denomination and ownership

description: Replication files for results in "Inflation, default and sovereign debt: The role of denomination and ownership"
DOI: 10.6084/m9.figshare.27794916.v1
title: Filled in Minimum Reporting Tables for Brillouin Light Scattering Microscopy measurements on different instruments

description: Filled in Minimum Reporting Tables for Brillouin Light Scattering Microscopy measurements of standard samples using different instruments in different laboratories.
DOI: 10.6084/m9.figshare.28454990.v1
title: Output of https://github.com/naobservatory/mgs-workflow/tree/2.5.0., used for Deep wastewater metatranscriptomic sequencing data, Los Angeles, USA, 2023-2024

description: This repo contains results of a biocomputational analysis of wastewater sequencing data presented in the paper "Deep wastewater metatranscriptomic sequencing data, Los Angeles, USA, 2023-2024."Here is the abstract of the paper that presents the data:Here we present a dataset consisting of 13.1 terabases (43B read pairs) of untargeted Illumina W-MTS data, generated from 20 wastewater samples, with 1.4B to 2.8B 150bp read pairs per sample. Wastewater samples were collected between December 2023 and April 2024 at the Hyperion Water Reclamation Plant (HWRP), Los Angeles, serving a population of approximately 4 million residents. The resulting dataset, one of the largest W-MTS collections to date, contains bacterial, archaeal, eukaryotic, and viral taxa—including human-infecting viruses—and many sequences of unknown origin. Uploaded to the NCBI Sequence Read Archive, we expect this data to spur additional research into the composition and viability of wastewater sequencing data for wastewater-based epidemiology and early detection of novel pathogens.The original dataset can be found under: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA1198001The pipeline that was used to analyze the sequencing data can be found under: https://github.com/naobservatory/mgs-workflow/tree/2.5.1<br>
DOI: 10.17632/2fgv99854n
title: An Extensive Image Dataset for Classifying Rice Varieties in Bangladesh

description: This dataset contains a carefully collected set of low-resolution images of 38 well-known rice varieties from BINA and IRRI. It helps in identifying the unique features of these rice types for accurate classification.
#Dataset Composition#
The dataset includes images of 38 different types of rice, specifically:
BD33, BD30, BD39, BD56, BD93, BD91, BD49, BD51, BD52, BD76, BD95, BD57, BD87, BD70, BD85, BD72, BD79, BD75, Binadhan7, Binadhan8, Binadhan10, Binadhan11, Binadhan12, Binadhan14, Binadhan16, Binadhan17, Binadhan19, Binadhan20, Binadhan21, Binadhan23, Binadhan24, Binadhan25, Binadhan26, BR22, BR23, BRRI67, BRRI74, and BRRI102.
There are 19,000 original JPG images and 76,000 augmented images in total.
#Image Capture and Dataset Organization#
Images were taken using high-power 1600x and 1000x digital microscope cameras between January 15 and February 28, 2024. The dataset is divided into two main parts: Original images and Augmented images. Each part has 38 folders, one for each rice variety.
#Original Image Dataset#
The main set includes 19,000 JPG images, each sized at 640x480 pixels. The uncompressed file size is 1.52 GB, reduced to 1.47 GB after compression.
#Augmented Image Dataset#
To increase the number of images for deep learning models, data augmentation techniques were used. These include rotations (90° left, 90° right, 180°), shear range and flips, creating 76,000 more images. These images are also in JPG format, sized at 640x480 pixels, and were initially 1.98 GB, reduced to 1.89 GB after compression.
#Dataset Storage and Access#
The raw and augmented datasets are stored in two separate zip files, 'Original.zip' and 'Augmented.zip'. Each zip file contains 38 folders, one for each rice variety mentioned above.
DOI: 10.17632/9ws98g4npw
title: ANTS--ant detection and tracking

description: This dataset contains sequence images of ant colony in indoor and outdoor environments. Used to train multi-target tracking models and test its performance.
DOI: 10.17632/j9jhn2nsjv
title: Porous structures_Bilbao School of Engineering Topology Optimization Group

description: This dataset contains the MATLAB code for the Sequential Element Rejection and Admission topology optimization method that was use to generate the result shown on the article "Infill topology optimization of porous structure with discrete variables by the Sequential Element Rejection and Admission method "
DOI: 10.6084/m9.figshare.29105318.v1
title: <b>Strongylodon macrobotrys</b> genome

description: Haplotype-resolved, telomere-to-telomere genome assembly of Strongylodon macrobotrys A.Gray
DOI: 10.6084/m9.figshare.707012.v1
title: A GPU Accelerated Interactive Interface for Exploratory Functional Connectivity Analysis of fMRI Data

description: The poster for our ICIP paper "A GPU Accelerated Interactive Interface for Exploratory Functional Connectivity Analysis of fMRI Data" Abstract Functional connectivity analysis is a way to investigate how different parts of the brain are connected and interact. A common measure of connectivity is the temporal correlation between a reference voxel time series and all the other time series in a functional MRI data set. An fMRI data set generally contains more than 20,000 within-brain voxels, making a complete correlation analysis between all possible combinations of voxels heavy to compute, store, visualize and explore. In this paper, a GPU-accelerated interactive tool for investigating functional connectivity in fMRI data is presented. A reference voxel can be moved by the user and the correlations to all other voxels are calculated in real-time using the graphics processing unit (GPU). The resulting correlation map is updated in real-time and visualized as a 3D volume rendering together with a high resolution anatomical volume. This tool greatly facilitates the search for interesting connectivity patterns in the brain.
DOI: 10.17632/fm86gnkw6x
title: Salary, offensive, and defensive stats of 2604 NBA players over 11 seasons (2005-2016)

description: Dataset of 2604 National Basketball Association (NBA) players who played more than 1000 minutes in the regular seasons from the season 2005-2006 until 2015-2016. The dataset covered several stats related to salary, offensive, and defensive activities such as salary, minutes played, assists, field goal, free throws, offensive rebounds, blocks, steals, and defensive rebounds.
DOI: 10.17632/y6zf546s4t
title: Decsi et al., 2025_DIB_article

description: Plant leaf samples were collected from untreated and foliar-treated wheat stands with seed priming and seed priming inder drought stressed circumstances, and raw RNA-seq data were obtained from these samples using the Illumina-NGS method.
DOI: 10.17632/8tyn355gs6
title: Data for pyBaram: Parallel Compressible Flow Solver in High-Performance Python for Teaching and Research. J. S. Park. SoftwareX

description: Data for pyBaram: Parallel Compressible Flow Solver in High-Performance Python for Teaching and Research. J. S. Park. SoftwareX
DOI: 10.17632/b7gcc2db3y
title: Supplementary Table 1

description: Codes Used to Define Exclusion Criteria and Radiologic Iodinated Contrast Exposure
DOI: 10.6084/m9.figshare.14906241.v2
title: Organ transplantation

description: Outpatient case histories of 164 patients who received HLA-compatible renal allografts between 1992 and 2020 were retrospectively analyzed: 64 (42.1%) women and 88 (57.9%) male patients with a mean age of 32.6 ± 8.7 years (range = 18–60 years) at the time of transplantation, 152 patients underwent transplantation for the first time, and 12 patients (5 (41.7%) women and 7 (58.3%) men), who underwent re-transplantation, who were on an outpatient basis in the Department Hospital Nephrology and Dialysis of the Lviv Regional Clinical Hospital
DOI: 10.6084/m9.figshare.17246822.v1
title: Reproduction Package for "Noisy Label Learning of Security Defects"

description: This reproduction package provides the data and scripts necessary to reproduce the analysis performed in the paper "Noisy Label Learning for Security Defects"
DOI: 10.6084/m9.figshare.22560817.v1
title: Supplementary Material for: Asteroid Hyalosis Migration into the Anterior Chamber during Cataract Surgery Case Report

description: A 70-year-old male presented for cataract surgery in the right eye with pre-operative assessment significant for nuclear sclerotic cataract and asteroid hyalosis. Upon irrigation and aspiration during cataract surgery, yellow-white spheres consistent with asteroid hyalosis were visualized circulating into the anterior chamber despite an intact capsule and no apparent zonular weakness. The asteroides particles were completely aspirated by the irrigation and aspiration port and an intraocular lens was implanted into the capsular bag. Post-operatively, the patient did well with final visual acuity of 20/20 with no vitreous prolapse, retinal tears or detachments noted. There are only four cases in the literature of asteroid hyalosis migrating in the anterior chamber, none of these cases are associated with migration during intraocular surgery. We hypothesize that the asteroid hyalosis migrated anteriorly and around the zonules due to the synuretic nature of the vitreous and microscopic gaps in the zonular fibers. This case demonstrates the importance of the cataract surgeon to be aware of potential migration of asteroid hyalosis into the anterior chamber during surgery.
DOI: 10.6084/m9.figshare.28351877.v1
title: Mental Maps in Process Mining: Does Stabilizing DFGs Improve Process Analysis Performance?

description: This folder includes additional material to our paper "Mental Maps in Process Mining: Does Stabilizing DFGs Improve Process Analysis Performance?" by Häge and Rehse accepted at the BPM 2025. It includes screenshots and screencasts of the conducted online experiment and the used website to test if the mental map increased process analysis performance. It also includes example images of the two different representations, without and with mental map.In detail:1) Slide deck including the whole experiment design with all questions and the different representations: Screenshots_Online_Experiment_All_Questions.pdf2) Screencasts of both representations with changes of the slider settings and use of the zoom function:Screencast_Zoom_no_Mental_Map.mp4Screencast_Zoom_with_Mental_Map.mp43) Screencasts of both representations with only changes of the slider settings:Screencast_no_Mental_Map.mp4Screencast_with_Mental_Map.mp4<br>
DOI: 10.15468/dl.s9hn23
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platytroctes Günther, 1878",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.9648 1.8496,26.9648 1.8496,26.9648 -7.1504,35.9648 -7.1504,35.9648 1.8496))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013017-250525065834625/datasets/export for details.
DOI: 10.17632/4sgysy3h8k
title: LINF_180017100

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.6084/m9.figshare.14166467.v1
title: Rostral morphology of Spinosauridae (Theropoda, Megalosauroidea): premaxilla shape variation and a new phylogenetic inference

description: Supplemental online materials for: <br>Lacerda, Grillo, & Romano (2021). <b>Rostral morphology of Spinosauridae (Theropoda, Megalosauroidea): premaxilla shape variation and a new phylogenetic inference</b>. Historical Biology.<br><b><i>Data files</i></b><br><b><i><sub><br></sub></i></b> <b><i> </i></b> <b>GMM data</b>. Matrices with LMs coordinates; Procrustes coordinates, analysis and results of ordination methods and multivariate regression. <b> </b> <b><br></b><b>CAC data</b>. Matrices with LMs coordinates corrected by Common Allometric Component analysis. <b> </b> <b><br></b><b>PM data</b>. Phylogenetic Morphometrics matrix combining standard characters and premaxillae configurations.
DOI: 10.17632/847bvc7g38
title: Positive anticipated affective reactions increase pro-environmental behavior, data files

description: Affective reactions have been linked to pro-environmental behaviors (PEBs), but it is unclear if positive (warm glow, hope) or negative (worry, hopelessness) is more impactful in motivating action. In this pre-registered study we used a unique longitudinal dataset from a Swedish sample to reveal that positive affect predicts more engagement in PEBs, and negative affect predicts less engagement in PEBs. A mediation model also suggests that anticipated (i.e. expected feelings of) positive affect is related to past pro-environmental engagement and could partly predict future PEBs. Hence, affective reactions may be one way to increase intrinsic motivation for a more sustainable lifestyle.
DOI: 10.17632/cdn2vbvzgr
title: Dhaka EPZ air pollution: PM2.5, PM10, and CO measurements and predictions

description: This dataset provides historical and forecasted data on the concentrations of PM2.5, PM10, and CO in the air of Dhaka's export processing area. It includes measurements of these pollutants from January 2019 to December 2023 and predictions of their future levels up to December 2027. This information can be used to understand the air quality in this important industrial zone and to develop strategies for reducing air pollution. Air pollutants are forecasted using the Auto Regressive Moving Average (ARIMA) model in Rstudio, and model performance is checked. Performance results are also included in this dataset.
DOI: 10.6084/m9.figshare.22518010.v1
title: Pupillary response is associated with the reset and switching of functional brain networks during salience processing: A simultaneous pupillometry-EEG-fMRI study (dataset and demo)

description: Dataset and demo for the manuscript ''Pupillary response is associated with the reset and switching of functional brain networks during salience processing".
DOI: 10.17632/3brbybg4nk
title: Data for Adaptive leadership overcomes persistence-responsivity tradeoff in flocking

description: Scripts to parse raw files of the simulation framework given by https://github.com/csviragh/robotsim, and data from which figures are generated for the paper titled 'Adaptive leadership overcomes persistence-responsivity tradeoff in flocking' by Boldizsar Balazs, Gabor Vasarhelyi and Tamas Vicsek, published in Journal of The Royal Society Interface in 2020.
DOI: 10.17632/pj5gzdyj9v
title: Expansion planning of the transmission network with high penetration of renewable generation: multi-year two-stage adaptive robust optimization approach. Data for the case studies

description: This document provides the data for the case studies of the work “Expansion planning of the transmission network with high penetration of renewable generation: multi-year two-stage adaptive robust optimization approach”.
DOI: 10.17632/znp44k8t55
title: Survey Dataset on Sustainable Consumption of Malaysian Household

description: This is survey dataset on sustainable consumption level among Malaysian household based on income and consumption expenditure.
DOI: 10.6084/m9.figshare.12593657.v1
title: An Algorithmic Approach to Determine Expertise Development using Object Related Gaze Pattern Sequences

description: Dataset for the conducted learning behavior Eye Tracking Study.The data set contains several data forms:"ET Fixation Data" for group experts, group BiColor (BC) and group MultiColor (MC). Data is given in the form of AOI lists, where each fixation is assigned to a task AOI. Additionally the fixation start, end and duration is given. These lists are also provided as converted string sequences, where each character is uniquely assigned to an AOI. For the analysis in the research article, successive appearances of the same character are summarized into one character.<br>"Pattern Frequency" contains the appearing k-mer patterns for each study subject in each trial as .mat struct file (MATLAB).<br>