A global dataset of synthetic tropical cyclone tracks for the El Niño‒Southern Oscillation by Itxaso Odériz, Iñigo J. Losada

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Joining forces for online feedback management: policy recommendations for human–AI collaboration by Dzmitry Katsiuba, Mateusz Dolata, Gerhard Schwabe

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Detection avoidance techniques for large language models by Sinclair Schneider, Florian Steuber, João A.G. Schneider, Gabi Dreo Rodosek

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Manually Annotated Drone Imagery Dataset for Automatic Coastline Delineation by Kamran Tanwari, Paweł Terefenko, Jakub Śledziowski, Andrzej Giza

“…All data is organized and structured to comply with FAIR principles.…”
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Genome-centric metagenomics reveals uncharacterised microbiomes in Angus cattle by Thibault P. R. A. Legrand, Pâmela A. Alexandre, Annaleise Wilson, Ryan J. Farr, Antonio Reverter, Stuart E. Denman

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Reinstating trust in elections in the era of artificial intelligence and emerging technologies by Fola Adeleke

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Sustainability indicators in high entropy alloy design: an economic, environmental, and societal database by Stéphane Gorsse, Théo Langlois, An-Chou Yeh, Matthew R. Barnett

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FAIR-Compliant Database for Soil Erosion Studies: The Marganai Forest Experiment by Filippo Giadrossich, Ilenia Murgia, Enrico Guastini, Antonio Ganga, Simone Di Prima, Laura Chessa, Raffaella Lovreglio, Roberto Scotti

“…The database, produced using NFS-DataDocumentationProcedure, is stored in an SQLite file, extensively exploiting the relational properties of the engine, enhancing data accessibility, interoperability and reusability.…”
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Potentials of administrative informatics for the analysis of policymaking: notes on the integration of administrative informatics into the policy cycle by Jörn von Lucke, Sander Frank

“…Strategically, this coupling is necessary and meaningful to realize synergies and to avoid counterproductive effects, such as rebound effects or lock-in effects, particularly given the time constraints imposed by climate change. The European data strategy not only calls for the establishment of various data spaces, such as the data space for the European Green New Deal, but also calls for the opening, integration, and utilization of European data for stakeholders from administration, business, and civil society. …”
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Identifying Cocoa Flower Visitors: A Deep Learning Dataset by Wenxiu Xu, Saba Ghorbani Barzegar, Dong Sheng, Manuel Toledo-Hernández, ZhenZhong Lan, Thomas Cherico Wanger

“…New embedded hardware and AI-based data analysis is advancing information on cocoa flower visitors, their identity and implications for yields. …”
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Targeted Metabolomics in the REasons for Geographic and Racial Differences in Stroke (REGARDS) Study by Zsuzsanna Ament, Naruchorn Kijpaisalratana, Varun M. Bhave, Catharine A. Couch, Ana-Lucia Garcia Guarniz, Amit Patki, Mary Cushman, Suzanne E. Judd, M. Ryan Irvin, W. Taylor Kimberly

“…This dataset includes 2,377 baseline plasma samples collected between 2003 and 2007 from a stroke case-cohort sub-study, with 1,056 randomly selected cohort participants and 1,321 stroke cases. The resulting data provides a resource for investigating metabolic profiles and their potential implications for health outcomes and disparities.…”
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Deep learning-based reconstruction of monthly Antarctic surface air temperatures from 1979 to 2023 by Ziqi Ma, Jianbin Huang, Xiangdong Zhang, Yong Luo, Tingfeng Dou, Minghu Ding

“…Abstract Gridded surface air temperature (SAT) data for Antarctica is a crucial foundation for studying climate change in the region. …”
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Multi-dimensional Dataset of Stress Measurements based on Performance, Behavioural, and Perceptual Indicators by Ainhoa Apraiz, Graziana Blandino, Ali Tarhini, Pedro Pratas, Abdullah Al Noman, Hien Ngoc Nguyen, Ganix Lasa, Francesca Montagna

“…In this context, the NO-STRESS project aims to combine objective and subjective data collected during task execution to explore causes of work-related stress and propose solutions to mitigate them. …”
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The governance of federated learning: a decision framework for organisational archetypes by Tom Barbereau, Joaquin Delgado Fernandez, Sergio Potenciano Menci

“…Federated learning (FL) is a machine learning technique that distributes model training to multiple clients while allowing clients to keep their data local. Although the technique allows one to break free from data silos keeping data local, to coordinate such distributed training, it requires an orchestrator, usually a central server. …”
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Anticipating climate change-related mobility in Karachi and Ho Chi Minh City: lessons from a hybrid foresight approach by Aaron Martin, Boukje Kistemaker, Beth Allen, Bryan Jones

“…Beyond substantive findings, this paper offers a critical reflection on the methodological alignment of data-driven and participatory foresight with the aim of anticipatory policy ideation, seeking to contribute to the enhanced effectiveness of foresight practices.…”
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Chromosome-level genome assembly of the small yellow croaker, Larimichthys polyactis (Perciformes: Sciaenidae) by Feng Liu, Wei Zhan, Dandan Guo, Ting Ye, Bao Lou

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Decoding development: the AI frontier in policy crafting: A systematic review by Sofiarti Dyah Anggunia, Jesse Sowell, María Pérez-Ortiz

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A high resolution gridded dataset for takeaway packaging waste in China by Pingda Lu, Ya Zhou, Qiuli Liu, Aiqun Guan, Zhifeng Yang

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Exploring the potentialities and challenges of deep learning for simulation and prediction of urban sprawl features by Ange Gabriel Belinga, Stéphane Cedric Tékouabou Koumetio, Mohamed El Haziti

“…Of course, this is not without major challenges, both in terms of data and models and in terms of strategic city planning policies.…”
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3D+t Multifocal Imaging Dataset of Human Sperm by Fernando Montoya, Andrés Bribiesca-Sánchez, Paul Hernández-Herrera, Dan Sidney Díaz-Guerrero, Ana Laura Gonzalez-Cota, Hermes Bloomfield-Gadelha, Alberto Darszon, Gabriel Corkidi

“…This collection enables detailed observation and analysis of 3D sperm flagellar motility patterns over time, offering novel insights into the capacitation process and its implications for fertility. Data were captured using a multifocal imaging (MFI) system based on an optical microscope equipped with a piezoelectric device that adjusts focus at various heights, recording sperm movement in a volumetric space. …”
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