189 datasets found

Pre-computed sparse feature correspondences for pairs of images (outdoor and indoor) to reproduce the experiments described in our paper, particularly to train and evaluate...

Hydrogen atom transfer (HAT) reactions are important in many biological systems. As these reactions are hard to observe experimentally, it is of high interest to shed light on...

Supplementary training data and binaries for 6D object pose estimation, particularly a dataset of 20 objects under various lighting conditions with RGB-D images, ground truth...

Introduction. Since its introduction in the DSM-5 and the ICD-11, the construct of personality functioning has received increased research interest. Recent studies have shown...

Below you will find the codes and the trained model weights of the paper "Smart Active Particles Learn and Transcend Bacterial Foraging Strategies".

The numerical compass (NC) method integrates kinetic models, global optimization, ensemble methods, and machine learning to identify experimental conditions with the greatest...

Machine Learning (ML) can be conveniently applied to continuum materials simulations, allowing for the investigation of larger systems and longer timescales, pushing the limits...

This work proposes a novel method to generate C-Tests; a deviated form of cloze tests (a gap filling exercise) where only the last part of a word is turned into a gap. In...

"graph_data.xlsx" is an excel spreadsheet containing the graph data used in the paper. It contains three sheets for each of the three figures in the paper. "Q_fibres" contains a...

This dataset contains all the data used to implement the B-cell epitope predictor tool called HLA-EpiCheck (see https://doi.org/10.1101/2023.12.18.572133). CONTENTS: -...

Der vorliegende Datensatz soll als Grundlage für die Entwicklung von Modellen zur Vorhersage von Zeitreihen für Fräsprozesse dienen. Dazu wurden Fräsprozesse mit einer...

"graph_data.xlsx" contains data displayed in the graphs present in the paper. It contains two sheets for each of the two graphs in the paper. "BER_Fibres" contains a table with...

Anonymized models from the expert and lay-user studies conducted in the project Evidence. Each model was train for 50-60 iterations on a specific word class (adjective, verb,...

In support of published work. Data to be processed with open access code created by Elias Galiounas.Code repository contains instructions:...

Agricultural field polygons within smallholder farming systems are essential to facilitate the collection of geo-spatial data useful for farmers, managers, and policymakers....

This directory features data that is discussed in the paper: F. Kunneman, A. Hürriyetoglu, N. Oostdijk and A. Van den Bosch (2014), Timely identification of event start dates...

This dataset features all the tweetids and labels that were used to model the language of 24 hashtags, and test the performance on predicting the hashtags in unseen tweets. This...

This dataset features training and test tweets as well as insights into the classifier model related to the paper: Kunneman, F.A., Liebrecht, C.C., Mulken, M.J.P. van & Bosch,...

This dataset contains the drugscreen of the FDA-approved drug library (Enzo Screen Well BML 2843, Plates 3, 5, 6 ) including the imaging data (time lapse bright-field...

The underlying study focused on ligand binding of bivalent ligands to the guanidine-II riboswitch. The dataset was generated using MD simulations and Machine Learning (ML)...