This repository contains the analytical datasets, validation outputs, sensitivity-analysis materials and supporting documentation associated with the study: Science Mapping AI-enabled Digital Transformation in Project Management through a Combined Bibliometric and BERTopic Modelling Approach The study combines bibliome...
Styve L. Ndjonkin Simen· Zenodo (CERN European Organi...· 0 citations
This dataset is the replication package for "Convergence masking and the innovation paradox in OECD panels" (S. Kim and Y.-W. Sawng, Economics Letters). Version 2 accompanies the revised manuscript; Version 1 accompanied the original submission. Research hypothesis. In two-way fixed-effects regressions of technological...
Sangsoon Kim, Yeong‐Wha Sawng· Mendeley Data· 0 citations
This Zenodo record contains the visual stimulus videos, raw participant data, and analysis files associated with the ANT visual neurofeedback stimulus design study. The TouchDesigner project files used to create the visual stimuli and export the corresponding videos are provided in a separate GitHub repository, linked...
Delphine Ribes, Gabriel Luthier, Danpeng Cai· Zenodo (CERN European Organi...· 0 citations
This dataset contains the processed model data and field-report summary records underlying the figures and tables of the associated manuscript "Model-based design and field evaluation of a regulated semi-flow downhole power-generation system" (submitted to Systems Science & Control Engineering, Taylor & Francis). It in...
The International Military Deployments Dataset (IMDT) is a dyadic dataset of 21,217 country-country-year observations recording interstate military deployments worldwide between 1962 and 2022. It covers 173 deploying states and 174 host countries and records: troop numbers (disaggregated where possible into combat pers...
Artem Maltsev, Varvara A. Gatskovskaya, Emil Stasevski· Zenodo (CERN European Organi...· 0 citations
This repository provides a comprehensive mid-infrared (FTIR) spectral dataset of defect-free and defective coffee beans at both green and roasted processing stages, together with spectral preprocessing workflows and machine learning tools for defect classification. The dataset includes spectra acquired in the wavenumbe...
Gentil Andres Collazos-Escobar, Karen Tatiana Salas-Calderón, Yeison Barrios Rodriguez et al.· Mendeley Data· 0 citations
Dark-field imaging is widely used to infer fibre orientation from signal modulation as a function of sample orientation. However, current X-ray dark-field retrieval methods are restricted to single orientations and require tomography to resolve overlapping structures. This approach is time-consuming and not suitable fo...
Lorenzo Massimi, Michela Fratini, Shashidhara Marathe et al.· Communications Physics· 0 citations
PlayCat Cat Behavior Enrichment Dataset A comprehensive bilingual (Korean/English) dataset on cat behavioral enrichment (고양이 행동풍부화) compiled by the PlayCat Research Team. This dataset combines evidence-based research from zoo enrichment science, veterinary behavioral medicine, and practical indoor cat care into...
Jongseok Yang· Zenodo (CERN European Organi...· 0 citations
Explicit engagement and detailing of methods are not always expected or required practices within legal scholarship, as evidenced, for example, by the absence of method sections in many leading legal journals. Yet, methods provide the foundation to scholarship and its description facilitates the review of research reli...
Katrien Steenmans· Journal of Legal Research Me...· 0 citations
Stochastic simulation models effectively capture complex system dynamics but are often too slow for real-time decision making. Traditional metamodeling techniques learn relationships between simulator inputs and a single output summary statistic, such as the mean or median. These techniques enable real-time predictions...
L. Jeff Hong, Yanxi Hou, Qingkai Zhang et al.· INFORMS journal on computing· 0 citations
This poster was presented on the TRA Workshop "Great Data, Great Science" at the University of Bonn on 06 October 2026. --- In computational biology, the availability and careful handling of high-quality digital data are essential for obtaining reliable and biologically meaningful results. In silico analyses depend on...
Lucia Vedder, Heiko Schoof· Zenodo (CERN European Organi...· 0 citations
Supplementary Code S1 contains selected non-sensitive analysis runners, contracts, manifests, gate definitions, figure source, and aggregate outputs. The EXP-67/68 runners, contracts, and aggregate outputs are included but were not replayed or re-executed during this package build. For EXP-68, stage1_q.csv records only...
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
