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Origin of the machine learning forces field errors across metal elements
<p><span lang="EN-US">The overall development of the machine learning force field (MLFF) has advanced rapidly, with a wide range of models emerging in recent years.... -
Stable n-type conduction in WOx-CNT hybrid films
<p>Nanostructured hybrid films composed of tungsten oxide (WO<sub><em>x</em></sub>) nanoclusters and vertically aligned carbon nanotubes (CNTs)... -
Getting the manifold right: The crucial role of orbital resolution in DFT+U f...
<p>This dataset accompanies the study "Getting the manifold right: The crucial role of orbital resolution in DFT+U for mixed d-f electron compounds" and provides input and... -
A universal machine learning model for the electronic density of states
<p>In the last few years several ``universal'' interatomic potentials have appeared, using machine-learning approaches to predict energy and forces of atomic... -
Dielectric response and excitations of hydrogenated free-standing graphene
The conversion of semimetallic suspended graphene (Gr) to a large-gap semiconducting phase is realized by controlled adsorption of atomic hydrogen (deuterium) on free-standing... -
Benchmarking physics-inspired machine learning models for transition metal co...
<p>Physics-inspired machine learning (ML) models can be categorized into two classes: those relying solely on three-dimensional structure and those incorporating... -
Importance of non-adiabatic effects on Kohn anomalies in 1D metals
<p>Kohn anomalies are kinks or dips in phonon dispersions which are pronounced in low-dimensional materials. We investigate the effects of non-adiabatic phonon self-energy... -
Replication Data for: Conditions for the Kelvin-Helmholtz Instability in the ...
This repository contains the replication code and data needed to reproduce the main results in the article: Conditions for the Kelvin-Helmholtz Instability in the Polar... -
Dataset for: Nanoparticle-Polymer Coupling in Magnetic Gels Studied by Means ...
This dataset contains the data in context with the named paper - Nanoparticle-Polymer Coupling in Magnetic Gels Studied by Means of Computer Simulations and Experiments - namely... -
Quantifying Gait Parameters in Parkinson’s Disease Using Augmented Reality
Gait impairments are common in Parkinson’s disease, and cueing strategies can help improve mobility. Augmented Reality (AR) headsets offer personalized cues and can capture gait... -
Data, Results and tools code for MetaNetMap paper reproducibility
MISTIC – Coralie Muller – MetaNetMap Data Repository MetaNetMap is a Python tool designed to map metabolite information from metabolomic data onto metabolic networks.... -
Land cover and vegetation patches on the gravel bars of the Isère River (Fran...
This dataset contains four types data: (1) A normalized time series of visible aerial imagery acquired over the active channel of the Isère River (France) between 2018 and 2023... -
Characteristics of low and high flow spells and their temporal transitions in...
This dataset contains information about low and high flow spells and their temporal transitions in France. For a detailed description of the dataset please refer to README.md. -
AFY Ontology
Notre objectif est de proposer un modèle de connaissances qui fournira un cadre unificateur pour structurer les données et les connaissances agroforestières, simplifiant ainsi... -
README - publication package: "I am happy for us: Neural processing of vicari...
This is the README file for the publication package I am happy for us: Neural processing of vicarious joy when winning for parents versus strangers. This entry is a one-file... -
robustHD: An R package for robust regression with high-dimensional data
Robust methods for high-dimensional data, in particular linear model selection techniques based on least angle regression and sparse regression.This is version 0.7.1... -
A Link Layer Protocol for Quantum Networks
QLinkLayer simulation data The .zip-files in this DataVerse contains data used in the paper: A Link Layer Protocol for Quantum Networks (https://arxiv.org/abs/1903.09778)... -
Data-Efficient Large Scale Place Recognition With Graded Similarity Supervision
Visual place recognition (VPR) is a fundamental task of computer vision for visual localization. Existing methods are trained using image pairs that either depict the same place... -
Examining the Proteus Effect in the Context of Healthy Food Choices and Inten...
As avatars gain prominence in health-promoting applications, understanding how health-related avatar appearance characteristics could affect users’ behavior is crucial. Drawing... -
Methane Controlled Release Experiment in Utrecht (2022)
This dataset contains mobile measurements of ambient methane collected during a controlled release of methane. Methane was released from a stationary source while a vehicle...
