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2,473 papers
Source-verified dataset supporting the article "Naming the Ukok Woman: Gendered Terminology and Citation Distortion in Archaeological Knowledge Organization" (KIM Minh, Korea Institute of Aesthetic Medicine; ORCID 0009-0004-4586-5101), submitted to the Journal of Information Science Theory and Practice (JISTaP). This i...
This monograph presents the Draken 2045 Framework — a formal diagnostic methodology for modeling cross-scale consistency in complex adaptive systems using sheaf theory, a branch of algebraic topology. Building on the sheaf Laplacian formalism of Hansen and Ghrist (2019) and the discourse sheaf opinion dynamics of Hanse...
Version 3.0 (2026-10-02) corrects two errors that remained in version 2.0: the overall 95% confidence interval upper bound is 73.8%, not 74.2%, and the 104-image evaluation set comprises 59 Wikimedia Commons night-sky photographs and 45 synthetic test images generated with controlled brightness and Bortle parameters, w...
Harmonized Geospatial Dataset from the 2010 Brazilian Demographic Census by IBGE This dataset provides a harmonized geospatial version of the 2010 Brazilian Demographic Census at the census tract level. The data are distributed as separate, gzip-compressed files (one per table and per geography layer) together with the...
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The Amber plugin for AiiDA aims to enable the capture and sharing of the full provenance of data when parameterising and running molecular dynamics simulations. This plugin is being developed as part of the Physical Sciences Data Infrastructure programme to improve the practices around data within the Physical Sciences...
The GROMACS plugin for AiiDA aims to enable the capture and sharing of the full provenance of data when parameterising and running molecular dynamics simulations. This plugin is being developed as part of the Physical Sciences Data Infrastructure programme to improve the practices around data within the Physical Scienc...
Faced with ever-accelerating threats to Earth’s biodiversity, large digital datasets have become essential for ecological research and informing conservation policy. These data now allow researchers to attain key insights more rapidly and at larger scales. An important source of biodiversity data comes from citizen sci...
This is a JSON-format, machine-operable, open-licence lexicographic resource, which forms a subset of the research database of the “Dissident Networks Project” (DISSINET, https://dissinet.cz). It focuses on conceptual and verbal entities which hold the database semantically together - its lexico-semantic network. DISSI...
This study proposes a method to enhance neural network performance when training data and application data are not very similar, e.g., out of distribution problems, as well as pattern and regime shifts. In contrast to previous approaches to out of distribution problems, which alter the inputs and outputs of an operator...
PURPOSE: Assessment of children's personal narratives offers important insights into their functional language abilities. This systematic review identifies current assessment and analysis practices for evaluating the personal event narratives of school-age children and provides a comprehensive overview to guide future...
Replication package of a bibliometric review of data science, predictive analytics and recommender systems in international trade and market demand (Scopus, 2015–2025). It includes the exact Scopus search strategies (historical, focused and robustness queries; searches run on 24 September 2026), the lists of the docume...
Processed, region-level data supporting the article "Lipotoxic Palmitate Hyperpolarizes Mitochondria, Raises 8-oxo-dG Damage in Depleted mtDNA, and Converts Nuclear 5mC to 5hmC Genome-Wide in Human Adipose-Derived Mesenchymal Stem Cells" (International Journal of Molecular Sciences, submitted 2026). Human adipose-deriv...
MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
As director, Bourg has focused on digital access, open and equitable scholarly publishing, and expanded support for data-intensive research.
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.
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