Here, we provide plankton image data that was sorted with the web applications EcoTaxa and MorphoCluster. The data set was used for image classification tasks as described in...

Gaussian process (GP) regression is one promising technique of constructing machine learning force fields with built-in uncertainty quantification, which can be used to monitor...

Gaussian process (GP) regression is one promising technique of constructing machine learning force fields with built-in uncertainty quantification, which can be used to monitor...

The constant-quality assumption in repeat-sales house price indexes (HPIs) introduces a significant time-varying attribute bias. The direction, magnitude, and source of the bias...

The constant-quality assumption in repeat-sales house price indexes (HPIs) introduces a significant time-varying attribute bias. The direction, magnitude, and source of the bias...

How do ethical arguments affect AI adoption in business? We randomly expose business decision-makers to arguments used in AI fairness activism. Arguments emphasizing the...

Background: The built environment is a structural determinant of health and has been shown to influence health expenditures, behaviors, and outcomes. Traditional methods of...

Background: The built environment is a structural determinant of health and has been shown to influence health expenditures, behaviors, and outcomes. Traditional methods of...

This dataset includes the symptoms and basic demographic information for subjects who had a diagnosis of suspected arboviral illness, including dengue, chikungunya, or Zika...

This dataset includes the symptoms and basic demographic information for subjects who had a diagnosis of suspected arboviral illness, including dengue, chikungunya, or Zika...

This dataset includes the symptoms and basic demographic information for subjects who had a diagnosis of suspected arboviral illness, including dengue, chikungunya, or Zika...

This is the multimodal SWELL knowledge work (SWELL-KW) dataset for research on stress and user modeling. The dataset was collected in an experiment, in which 25 people performed...

In this study we build models for the localisation and dating of Middle Dutch charters. First, we extract character trigrams and use these to train a machine learner (K Nearest...

This folder contains data and software tools (in python) that can be used in experiments with phoneme recognition in speech samples recorder in Polish. Acoustic data used here...

This file has been obtained from the Tropospheric Ozone Assessment Report database described by Schultz, M.G. et al., Elementa Sci. Anthrop., 2017,...

MLAir (Machine Learning on Air data) is an environment that simplifies and accelerates the creation of new machine learning (ML) models for the analysis and forecasting of...

The HDF5 file was created using the Python package nanite. It contains 1132 raw atomic force microscopy (AFM) force-indentation curves of zebrafish spinal cord sections, the...

The HDF5 file was created using the Python package nanite. It contains 1132 raw atomic force microscopy (AFM) force-indentation curves of zebrafish spinal cord sections, the...

Four data sets used for the benchmark of HPDBSCAN. Collection of geo-tagged Twitter data: This set has been collected and made available to us by Junjun Yin form the National...

This repository contains measurement data that are presented in the paper "Modified Dynamic Time Warping with a Reference Path for Alignment of Repeated Drive-Tests" Submitted...