22 datasets

NCL Data2026 · dataset

robustness_check.m

NCL Data2026 · dataset

<p dir="ltr">Code, synthetic input data, archived results and diagnostics for the paper "DentDES: A Factorial Discrete-Event Evaluation of Appointment Spacing and Readiness-Aware Dispatch in Dental Clinics" (ISMSIT 2026).</p><p dir="ltr">The Python and SimPy model compares two appointment-spacing rules and two dispatch rules (strict first-come-first-served and readiness-aware dispatch with a bypas

NCL Data2026 · dataset

RSOS_figures_Table1.m

NCL Data2026 · dataset

diagnose_anomalies.m

figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue

<p dir="ltr">Slide show for illustrative purpose - Democracy Now - Pre Print Review 2026</p>

ZivaHub + Deakin Research Online + DMU Figshare + HKU DataHub + Swinburne Figshare + DaYta Ya Rona + SUNScholarData + figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue

<p dir="ltr">This dataset includes 5 files in Excel with input and output of Monte Carlo simulations</p>

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

<p dir="ltr">This book argues for a simple engineering principle: a system should not receive more freedom to act than we have the independent ability to verify, constrain, and stop. Five ideas carry the argument. 1. Safety Must Be Designed Before Capability Growth Boundaries, stop mechanisms, verification criteria, and rules for expanding authority must exist before the system receives the corres

ZivaHub + Deakin Research Online2026 · dataset

<p dir="ltr">These are the figures from the dissertation, "Nonlinear paths to persistence : the stability of generalised Lotka-Volterra models".</p><p dir="ltr">The dataset examines the long-term dynamics of ecological communities modeled using a generalized Lotka-Volterra model. Unlike the classical Lotka-Volterra model, our generalised Lotka-Volterra framework allows for non-linear growth rates

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

<p dir="ltr">This study presents a systems-engineering framework for the development, verification, qualification, and eventual authorization of increasingly capable autonomous AI systems. The doctrine addresses a central engineering problem: how to permit capability growth without allowing assurance, evidence, or authority mechanisms to become obsolete as the system changes. The framework separat

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

<p dir="ltr">Spatial intelligence requires models to infer and maintain coherent three-dimensional structure, preserve objects and relations across viewpoints, compose interactable environments, and respect geometric and physical constraints. Progress toward such world models is limited by two forms of data scarcity: a shortage of diverse, high-quality real-world spatial observations and the narro

ZivaHub2026 · dataset · unknown

An individual level simulation model that tracks metabolic trajectories and predicts complications of diabetes and obesity and the associated NHS costs and health related quality of life over the lifetime of a synthetic cohort. This version was developed for an analysis estimating impacts of three targeted food tax policy designs.<p></p>

ZivaHub2026 · dataset

<p dir="ltr">Activation of targets (e.g., beaker), cohorts (e.g., beetle), rhymes (e.g., speaker), and unrelated words (e.g., carriage) in causal (sequential processing, only access to current and past speech signal) and non-causal (sequential processing but with access to past, current, and future speech signal) transformer models of speech processing. The causal model exhibits the primary charac

ZivaHub + HKU DataHub + figshare + Loughborough Research Repository + UP Research Data Repository2026 · Astronomical catalogue

<p dir="ltr">This dataset contains simulation output from the SimTW agent-based model, used in the multivariate regression analysis presented in the associated manuscript, "Tradeoffs between non-pharmaceutical intervention factors affecting outcomes in a computational simulation of COVID-19 infections." </p><p dir="ltr">Columns include the input parameters (city alert level, vaccination rate, viru

ZivaHub + HKU DataHub + figshare + Loughborough Research Repository + UP Research Data Repository2026 · Astronomical catalogue

<p dir="ltr">All data generated and used in the manuscript "<i>IQC</i>: A Novel Criterion for Assessing Feature Selection Stability in High-Dimensional Analyses." General information on each file is described below:</p><p dir="ltr"><b><u>Simulated Data</u></b></p><ul><li>"IQC_Model_Iterations_[...].csv": Files containing all 100 model iterations used to compute IQC for microarray gene expression c

ZivaHub2026 · dataset

<p dir="ltr">Complete master R script file for the manuscript "<i>IQC</i>: A Novel Criterion for Assessing Feature Selection Stability in High-Dimensional Analyses." File contains all code used to simulate data, run IQC algorithm, perform microarray gene expression case study, and generate all figures and supplemental figures used in the manuscript. Code is fully annotated and sectioned into sub-p

figshare + Loughborough Research Repository2026 · Astronomical catalogue

<p dir="ltr">This dataset supports the findings reported in:</p><p dir="ltr">Veigel, C., Relaño-Iborra H., Oxenham A.J., Dau, T.; A model-based analysis of modulation masking effects on vocoded speech intelligibility. J. Acoust. Soc. Am. September 2026; 160 (3): 2090–2104. <a href="https://doi.org/10.1121/10.0046394" target="_blank" rel="noreferrer">https://doi.org/10.1121/10.0046394</a><br></p><p

figshare2026 · Astronomical catalogue

<p dir="ltr">Raw data to generate data artifacts in the manuscript of "An AI driven Stablecoin Design Based on Cash Flow".</p>

figshare2026 · Astronomical catalogue

<p dir="ltr">Analysis code, prompt examples, item banks, run metadata, and derived aggregate statistics supporting the study. The README provides reproduction instructions and software requirements. Raw CGSS microdata and persona-level model responses are not included.</p>

figshare2026 · Astronomical catalogue

<p dir="ltr">This zipped folder contains two subfolders of zipped FASTQ files.</p><ol><li>The subfolder <b>shortreads </b>contains 80 paired-end short-read metagenomes (160 FASTQ files) that were simulated for analysis of gene detection and strain typing tools using InSilicoSeq. These metagenomes make up three different datasets of ST+Serotype, Antibiotic Resistance Gene (ARG) and Virulence Gene (

figshare2026 · Astronomical catalogue

<h2 dir="ltr"><b>Pile dataset</b><br></h2><p dir="ltr">This dataset contains 604 piles that we use to generate our training dataset.</p><h3 dir="ltr">Training piles</h3><h4 dir="ltr">Below is a description of the raw data found in each pile folder in the training dataset. We use this data to construct the grasp maps used during training.</h4><h4 dir="ltr"><i>grasp_candidates/</i><br>Has subfolders

ZivaHub + Deakin Research Online + DMU Figshare2024 · dataset

<p dir="ltr">An artificial neural network (ANN) model has been developed to predict hourly heat demand from past demand only. This is the revised version (2026) of the code and network, as used in the revised manuscript; it replaces the 2024 version. The attached data includes the following files:</p><ol><li>Trained neural network for Model 3 (.mat file), 49 input delays and 2 hidden neurons</li><

DaRUS2023 · dataset · unknown

This code/data allows you reproduce the results of the paper: "A physiologically enhanced muscle spindle model: using a Hill-type model for extrafusal fibers as template for intrafusal fibers" by P. F. S. Chacon, M. Hammer, I. Wochner, J. R. Walter and S. Schmitt. Always cite the paper together with this dataset because this dataset is not self-explanatory. More information about the dataset can b