Archaeological Artefact Database of Finland (AADA) by P. Pesonen, U. Nordfors, M. Roose, J. Saipio, J. Tiilikkala, U. Sanwal, V. Immonen, O. Vesakoski, P. Onkamo

“…We further work towards an interactive user interface for data download and visualization.…”
Get full text

Adverse reactions associated with meningococcal group B vaccine (4CMenB) in adults in special situations by María Fernández-Prada, Carmen Martínez-Ortega, Lara Hidalgo-Peña, Clara Álvarez-Vázquez, Rodrigo Aguirre-del Pino, Ismael Huerta-González

“…The adverse reactions described in the data sheet were collected. The adverse reactions evaluation was performed 24 hours after vaccination (“requested”) and during the first seven days (“not requested”). …”
Get full text

Tracking U.S. Land Cover Changes: A Dataset of Sentinel-2 Imagery and Dynamic World Labels (2016–2024) by Antonio Rangel, Juan Terven, Diana-Margarita Córdova-Esparza, Julio-Alejandro Romero-González, Alfonso Ramírez-Pedraza, Edgar A. Chávez-Urbiola, Francisco. J. Willars-Rodríguez, Gendry Alfonso-Francia

“…To ease the complexities of remote sensing data handling, we supply comprehensive code for data loading, basic analysis, and visualization. …”
Get full text

A Comprehensive Monte Carlo-Simulated Dataset of WAXD Patterns of Wood Cellulose Microfibrils by Ricardo Baettig, Ben Ingram

“…It enables the development, validation, and benchmarking of novel algorithms and machine learning models for MFA prediction from diffraction patterns. The simulated data also allow for systematic investigation of the effects of geometric factors on diffraction patterns and serves as an educational resource for visualizing structure–diffraction relationships. …”
Get full text

A Multimodal Dataset of Fact-Checked News from Chile’s Constitutional Processes: Collection, Processing, and Analysis by Ignacio Molina, Brian Keith, Mauricio Matus

Get full text

The EDI Multi-Modal Simultaneous Localization and Mapping Dataset (EDI-SLAM) by Peteris Racinskis, Gustavs Krasnikovs, Janis Arents, Modris Greitans

“…The tracks are formatted as ROS1 and ROS2 bags, with separately available calibration and ground truth data. In addition to the filtered positioning module outputs, a second form of sparse ground truth pose annotation is provided using independently surveyed visual fiducial markers as a reference. …”
Get full text

A Complementary Dataset of Scalp EEG Recordings Featuring Participants with Alzheimer’s Disease, Frontotemporal Dementia, and Healthy Controls, Obtained from Photostimulation EEG by Aimilia Ntetska, Andreas Miltiadous, Markos G. Tsipouras, Katerina D. Tzimourta, Theodora Afrantou, Panagiotis Ioannidis, Dimitrios G. Tsalikakis, Konstantinos Sakkas, Emmanouil D. Oikonomou, Nikolaos Grigoriadis, Pantelis Angelidis, Nikolaos Giannakeas, Alexandros T. Tzallas

“…Additionally, a fully preprocessed version is included, using EEGLAB-based pipelines that involve filtering, artifact removal, and Independent Component Analysis, preparing the data for machine learning applications. This new dataset enables the study of brain responses to visual stimulation across different cognitive states and supports the development and validation of automated classification algorithms for dementia detection. …”
Get full text

An electronic toll collection gateway BLE RSSI dataset for localization of smartphones in vehicular scenarios by Alejandro Gil-Martínez, Alejandro Rabadán-Parra, David Cañete-Rebenaque, José Luis Gómez-Tornero

“…As a validation of the dataset, a benchmark analysis for data visualization and localization/tracking is included, where three different algorithms (amplitude-monopulse comparison, MUltiple SIgnal Classification, and fingerprinting) used the calibrated data to track the location of the smartphone inside the vehicle in the different performed tests.…”
Get full text

Gene expression atlas of the Colorado potato beetle (Leptinotarsa decemlineata) by Léonore Wilhelm, Yangzi Wang, Shuqing Xu

“…The CPB gene expression atlas offers valuable tools and comprehensive data that will accelerate future research in pest control and insect biology.…”
Get full text

Parallel Datasets for Classification of Respiratory Rhythm Phases by Julian Szymański, Maciej Szefler, Kacper Karski, Filip Krawczak, Damian Jankowski

“…Along with the data we also publish the source files of tools used for building the datasets as well as our implementation of the models for respiratory rate classification and visualization. …”
Get full text

BigSolDB 2.0, dataset of solubility values for organic compounds in different solvents at various temperatures by Lev Krasnov, Dmitry Malikov, Marina Kiseleva, Sergei Tatarin, Sergey Sosnin, Stanislav Bezzubov

“…The molecular structures of solutes and solvents as well as solubility data are standardized and provided in a machine-readable format, allowing straightforward data-driven analysis. …”
Get full text

Coastal oceanographic connectivity at the global scale: a dataset of pairwise probabilities and travel times derived from biophysical modeling by Jorge Assis, Eliza Fragkopoulou, Ester A. Serrão, Miguel B. Araújo

“…The dataset is derived from Lagrangian simulations of passive dispersal driven by 21 years of ocean current data and can be combined with species’ biological traits, including seasonality and duration of planktonic dispersal stages. …”
Get full text

AcuSim: A Synthetic Dataset for Cervicocranial Acupuncture Points Localisation by Qilei Sun, Jiatao Ma, Paul Craig, Linjun Dai, Eng Gee Lim

“…The study validates a convolutional neural network (CNN) on the proposed dataset with an accuracy of 99.73% and shows that 92.86% of predictions in validation set align within a 5mm threshold of margin error when compared to expert-annotated data. This dataset addresses the limitations of prior datasets and can be applied to applications of acupoint detection and visualization, further advancing automation in Traditional Chinese Medicine (TCM).…”
Get full text

Trajectories of a magnetic sphere in a shaken three-dimensional granular bed under low gravity by Ke Cheng, Meiying Hou, Wei Sun, Zhihong Qiao, Xiang Li, Tuo Li, Mingcheng Yang

“…Additionally, we make the raw magnetic field data, processing scripts, and visualization tools accessible to the public. …”
Get full text

OSMlanduse a dataset of European Union land use at 10 m resolution derived from OpenStreetMap and Sentinel-2 by Michael Schultz, Hao Li, Zhaoyan Wu, Daniel Wiell, Michael Auer, Zipf Alexander

“…The overall map accuracy is 89%, with class-specific accuracies ranging from 77% to 99%. The data set is available for download from https://doi.org/10.11588/data/IUTCDN and visualization at https://osmlanduse.org .…”
Get full text

A dataset of the operating station heat rate for 806 Indian coal plant units using machine learningZenodo by Yifu Ding, Jansen Wong, Serena Patel, Guiyan Zang, Dharik Mallapragada

Get full text

Bootstrapping BI-RADS classification using large language models and transformers in breast magnetic resonance imaging reports by Yuxin Liu, Xiang Zhang, Weiwei Cao, Wenju Cui, Tao Tan, Yuqin Peng, Jiayi Huang, Zhen Lei, Jun Shen, Jian Zheng

Get full text

WEMAC: Women and Emotion Multi-modal Affective Computing dataset by Jose A. Miranda Calero, Laura Gutiérrez-Martín, Esther Rituerto-González, Elena Romero-Perales, Jose M. Lanza-Gutiérrez, Carmen Peláez-Moreno, Celia López-Ongil

“…Abstract WEMAC is a unique open multi-modal dataset that comprises physiological, speech, and self-reported emotional data records of 100 women, targeting Gender-based Violence detection. …”
Get full text

FAIR assessment of Disease Maps fosters open science and scientific crowdsourcing in systems biomedicine by Irina Balaur, Danielle Welter, Adrien Rougny, Esther Thea Inau, Alexander Mazein, Soumyabrata Ghosh, Reinhard Schneider, Dagmar Waltemath, Marek Ostaszewski, Venkata Satagopam

“…Adhering to the Findable, Accessible, Interoperable and Reusable (FAIR) principles enhances the utility of such digital assets. We used the RDA FAIR Data Maturity Model and assessed the FAIRness of the Molecular Interaction NEtwoRk VisuAlization (MINERVA) Platform. …”
Get full text

Deep learning radiomics of elastography for diagnosing compensated advanced chronic liver disease: an international multicenter study by Xue Lu, Haoyan Zhang, Hidekatsu Kuroda, Matteo Garcovich, Victor de Ledinghen, Ivica Grgurević, Runze Linghu, Hong Ding, Jiandong Chang, Min Wu, Cheng Feng, Xinping Ren, Changzhu Liu, Tao Song, Fankun Meng, Yao Zhang, Ye Fang, Sumei Ma, Jinfen Wang, Xiaolong Qi, Jie Tian, Xin Yang, Jie Ren, Ping Liang, Kun Wang

Get full text