Using internet-assisted geocoding of 1940 census addresses to reconstruct enumeration districts for use with redlining and longitudinal health datasets by Shuo Jim Huang, Michel Boudreaux, Kellee White Whilby, Rozalina G. McCoy, Neil Jay Sehgal

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Evaluation of Soil Quality for Different Types of Land Use Based on Minimum Dataset in the Typical Desert Steppe in Ningxia, China by Ying Tian, Zhe Xu, Jun Wang, Zhanjun Wang

“…This research used the total dataset (TDS), minimum dataset (MDS), approaches dealing with selecting better indexes, and scoring methods utilizing linear and nonlinear expressions to assess the typical desert grasslands in Yanchi County, Ningxia, China. …”
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A Comprehensive Analysis of a Social Intelligence Dataset and Response Tendencies Between Large Language Models (LLMs) and Humans by Erika Mori, Yue Qiu, Hirokatsu Kataoka, Yoshimitsu Aoki

“…To assess AI’s ability to understand human interactions and the components necessary for such comprehension, datasets like Social-IQ have been developed. However, these datasets often rely on a simplistic question-and-answer format and lack justifications for the provided answers. …”
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BioVars - A bioclimatic dataset for Europe based on a large regional climate ensemble for periods in 1971–2098 by Anne Reichmuth, Oldrich Rakovec, Friedrich Boeing, Sebastian Müller, Luis Samaniego, Andreas Marx, Hanna Komischke, Andreas Schmidt, Daniel Doktor

“…Nevertheless, a consistent dataset with identical model variables from historic and projected periods is rare. …”
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Analisis Efek Augmentasi Dataset dan Fine Tune pada Algoritma Pre-Trained Convolutional Neural Network (CNN) by Theopilus Bayu Sasongko, Haryoko Haryoko, Agit Amrullah

“…Penelitian ini bertujuan mengukur pengaruh teknik fine tuning dan augmentasi dataset pada model transfer learning CNN Mobilenet, Efficientnet, dan Nasnetmobile dengan dataset yang variasi jumlah dataset yang memiliki jumlah yang terbatas. …”
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Intelligent recognition of subsurface utilities and voids: A ground penetrating radar dataset for deep learning applicationsMendeley Data by Abdelaziz Mojahid, Driss El Ouai, Khalid El Amraoui, Khalil El-Hami, Hamou Aitbenamer

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IDBGL: A unique image dataset of black gram (Vigna mungo) leaves for disease detection and classificationMendeley Data by Md. Mehedi Hasan Shoib, Shahnewaz Saeem, Afia Benta Aziz Tonima, Mayen Uddin Mojumdar

“…The original dataset of 4,038 images was collected from the Sirajganj and Solonga regions in Bangladesh. …”
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A multi‐tagged SAR ocean image dataset identifying atmospheric boundary layer structure in winter tradewind conditions by Chen Wang, Justin E. Stopa, Doug Vandemark, Ralph Foster, Alex Ayet, Alexis Mouche, Bertrand Chapron, Peter Sadowski

“…Abstract A dataset of multi‐tagged sea surface roughness synthetic aperture radar (SAR) satellite images was established near Barbados from January to June 2016 to 2019. …”
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Development of an artificial intelligence-based application for the diagnosis of sarcopenia: a retrospective cohort study using the health examination dataset by Chang-Won Jeong, Dong-Wook Lim, Si-Hyeong Noh, Sung Hyun Lee, Chul Park

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A new multi-grid bathymetric dataset of the Gulf of Naples (Italy) from complementary multi-beam echo sounders by F. Foglini, M. Rovere, R. Tonielli, G. Castellan, G. Castellan, M. Prampolini, M. Prampolini, F. Budillon, M. Cuffaro, G. Di Martino, V. Grande, S. Innangi, M. F. Loreto, L. Langone, F. Madricardo, A. Mercorella, P. Montagna, C. Palmiotto, C. Pellegrini, A. Petrizzo, L. Petracchini, A. Remia, M. Sacchi, D. Sanchez Galvez, A. N. Tassetti, F. Trincardi

“…The new digital multi-resolution bathymetric products are openly accessible via Marine Geosciences Data System MGDS (refer to “Data availability” section, Table 8, for datasets and product DOIs), perfectly matching the FAIR (findable, accessible, interoperable, and reusable) and open science principles.…”
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AI-driven prediction of drug activity against Toxoplasma gondii: Data augmentation and deep neural networks for limited datasets by Natalia V. Karimova, Ravithree D. Senanayake

“…This approach significantly enhanced model performance, increasing the R² from 0.75 with the original dataset to 0.85. The model was further validated using two FDA-approved drugs for T. gondii treatment—pyrimethamine and trimethoprim—yielding relative errors of 3.35 % and 2.15 % in pIC50 predictions compared to experimental values. …”
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A dataset for tactile textures on uneven surfaces collected using a BioIn-Tacto sensing moduleMendeley Data by Maliheh Marzani, Soheil Khatibi, Ruslan Masinjila, Vinicius Prado da Fonseca, Thiago Eustaquio Alves de Oliveira

“…To advance research in texture classification, a comprehensive dataset capturing the physical interactions between a tactile-enabled robotic probe and various textures is necessary. …”
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A dataset dedicated to the training of large- language models for agronomic management practices and production in Norwegian agricultureGithubKaggle by Olena Bugaiova, Kristian Nikolai Jæger Hansen

“…This dataset focuses on the agricultural management practices and production in Norway, derived from the websites Nibio.no, Plantevernleksikonet.no, and nlr.no. …”
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Expediated modeling of burn events results (EMBER): A screening-level dataset of 2023 ozone fire impacts in the USzenodo by Heather Simon, James Beidler, Kirk R. Baker, Barron H. Henderson, Loren Fox, Chris Misenis, Patrick Campbell, Jeff Vukovich, Norm Possiel, Alison Eyth

“…The Expedited Modeling of Burn Events Results (EMBER) dataset consists of 36-km grid-spacing Community Multiscale Air Quality (CMAQ) photochemical modeling for the summer of 2023. …”
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Techno-economic dataset for energy market and capacity payment co-optimization in the Dominican Republicʼs power marketMendeley Data by René Báez-Santana, Miguel Aybar-Mejía, Máximo A. Domínguez-Garabitos, Víctor S. Ocaña-Guevara

“…This article presents a dataset for an optimization model of the generation mix and the energy demand in the power system of the Dominican Republic to determine the capacity value of variable renewable energy (VRE), i.e., wind and solar, that can serve as an incentive for these technologies. …”
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Optimasi Fuzzy C-Means dan K-Means Menggunakan Algoritma Genetika untuk Pengklasteran Dataset Diabetic Retinopathy by Muhammad Ezar Al Rivan, Steven Steven, William Tanzil

“…Optimasi dilakukan dengan cara mengganti bagian pada Fuzzy C-Means dan K-Means pada saat menentukan pusat cluster. Dataset yang digunakan pada penelitian adalah dataset Diabetic Retinopathy. …”
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Missing Risk Factor Prediction in Cardiovascular Disease Using a Blended Dataset and Optimizing Classification With a Stacking Algorithm by Jannatul Mauya, Saad Sahriar, Sanjida Akther, Ruhul Amin, Sabba Ruhi, Md. Shamim Reza

“…The entire dataset comprises 14 attributes, including one target variable; however, in the Switzerland dataset, one feature value (“serum cholesterol”) is entirely missing. …”
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A Dataset on “Social Media and India’s Foreign Policy: The Case Study of X Diplomacy During the Covid-19 Pandemic” by Mukund V. Narvenkar

“…This dataset analyzes “Social Media and India’s Foreign Policy: The Case Study of X Diplomacy during the Covid-19 Pandemic”. …”
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Performance and Analysis of FCN, U-Net, and SegNet in Remote Sensing Image Segmentation Based on the LoveDA Dataset by Yang Shuhao

“…This study utilizes the LoveDA dataset to investigate the segmentation performance of three classic deep learning models: Fully Convolutional Networks(FCN), U-Net, and SegNet, in both urban and rural scenarios. …”
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Optimizing AI models to predict esophageal squamous cell carcinoma risk by incorporating small datasets of soft palate images by Kotaro Waki, Katsuya Nagaoka, Keishi Okubo, Masato Kiyama, Ryosuke Gushima, Kento Ohno, Munenori Honda, Akira Yamasaki, Kenshi Matsuno, Yoki Furuta, Hideaki Miyamoto, Hideaki Naoe, Motoki Amagasaki, Yasuhito Tanaka

“…Here, we evaluated three AI models and three fine-tuning approaches with regard to their ESCC predictive power. Our dataset contained 539 cases, which were subdivided into 221 high-risk cases (2491 images) and 318 non-high-risk cases (2524 images). …”
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