Social science commonly studies relationships among variables by employing survey questions. Answers to these questions will contain some degree of measurement error, distorting...

The design rules for materials are clear for applications with a single objective. For most applications, however, there are often multiple, sometimes competing objectives where...

Computer vision techniques such as deep learning have quickly become of interest to ecologists for automatically processing large volumes of video and image-based data. However,...

A machine learning barometer (using Random Forest Regression) to calculate equilibration pressure for majoritic garnets Updated 04/02/21 (21/01/21) (10/12/20): **The...

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...

This data set includes deforestation maps, located in the border between the west of Brazil and the north of Bolivia (corresponding to Sentinel-2's tile 20LKP). The source...

The Reefscapers program is a coral restoration initiative to help reef recovery in the Maldives. It started in 2001, and is most active since the 2015-2016 mass bleaching event....

The Ibadan, Nigeria malaria-prevalence dataset 1996 to 2017. When using the dataset please also cite: Brown, B.J., Manescu, P., Przybylski, A.A. et al. Data-driven malaria...

EPISURG is a clinical dataset of T1-weighted magnetic resonance images (MRI) from 430 epileptic patients who underwent resective brain surgery at the National Hospital of...

Folding of villin miniprotein was studied by parallel tempering metadynamics driven by machine learning. To obtain a training set for machine learning, we generated a large...

Folding of villin miniprotein was studied by parallel tempering metadynamics driven by machine learning. To obtain a training set for machine learning, we generated a large...

Folding of villin miniprotein was studied by parallel tempering metadynamics driven by machine learning. To obtain a training set for machine learning, we generated a large...

This deposit contains the materials used during the development of this PhD thesis. During this research, we applied machine learning methods to obtain new insights about tick...

Porous molecular crystals are an emerging class of porous materials formed by crystallisation of molecules with weak intermolecular interactions, which distinguishes them from...

For competing E2 and SN2 reactions, we report 4'400 validated transition state geometries and 143'200 reactant complex geometries including conformers obtained at MP2/6-311G(d)...

This study aims to develop more accurate method for mapping closed canopy evergreen natural forest (CCEF) of the Eastern Arc Mountains (EAM) ecoregion in Tanzania and Kenya, to...

This dataset includes daily summaries of weather, snow, and preferential-flow conditions at the Snow and Ice Research Center, Nagaoka (Japan) -- snow seasons 2006 through...

AntAir is a dataset of gridded air temperatures in 1km spatial and daily temporal resolution currently available for the years 2003-2016.AntAir was created by modelling daily...

AntAir is a dataset of gridded air temperatures in 1km spatial and daily temporal resolution currently available for the years 2003-2016. AntAir was created by modelling daily...

Nitrogen (N) and Phosphorus (P) are essential nutritional elements for life processes in water bodies. However, in excessive quantities, they may represent a significant source...