361 datasets found

This dataset contains detailed inventories of 7 large plots of mangrove forests in the Utría National Park in the Colombian Pacific Coast. The inventory consists of individual...

Mineral liberation analysis (MLA) dataset accompanying the paper: Upscaling mineralogy with hyperspectral data: a benchmark dataset and machine learning framework to enable...

<p>Crafting neural-network interatomic potentials (NNIPs) remains a complex task, demanding specialized expertise in both machine learning and electronic-structure...

This repository contains a dataset of audio files containing meerkat and bird vocalizations used for training machine learning classifiers. It was created for the study...

Satz von Skripten zur Verarbeitung von PGT Daten, sowie Ausführung einer Machine-learning Pipeline und Modellauswertung.

<p>Physics-inspired machine learning (ML) models can be categorized into two classes: those relying solely on three-dimensional structure and those incorporating...

This RGB image dataset was acquired with 3 smartphones (Samsung Galaxy A12, Xiaomi Redmi Note 4, Xiaomi Redmi Note 11) on 3 dates (2024/03/21 ; 2024_04_08 and 2024_04_22) at...

The Synset Boulevard dataset is designed for the task of vehicle make and model recognition (VMMR), and is—to the best of our knowledge—the first entirely synthetically...

<p>The quality, consistency, and information content of training data is often what determines the practical value of machine-learning models for atomistic simulations....

<p>Gaussian process (GP) regression provides a strategy for accelerating saddle point searches on high-dimensional energy surfaces by reducing the number of times the...

Recently, we introduced a class of molecular representations for kernel-based regression methods — the spectrum of approximated Hamiltonian matrices (SPAᴴM) — that takes...

In recent years, there has been a surge of interest in predicting computed activation barriers, to enable the acceleration of the automated exploration of reaction networks....

Soil information is valuable for many disciplines (e.g. agriculture, geomorphology, geology, archaeology) and can be used to produce maps or statistics on soil productivity. As...

Branched glycerol dialkyl glycerol tetraethers (brGDGTs) are a family of bacterial lipids which have emerged over time as robust temperature and pH paleoproxies in continental...

Branched glycerol dialkyl glycerol tetraethers (brGDGTs) are a family of bacterial lipids which have emerged over time as robust temperature and pH paleoproxies in continental...

This earthquake catalog was constructed using a combination of artificial intelligence and traditional methods for phase picking, phase association, and earthquake relocation....

One essential ingredient in many machine learning (ML) based methods for atomistic modeling of materials and molecules is the use of locality. While allowing better system-size...

<p>Accurate determination of transition states is central to an understanding of reaction kinetics. Double-endpoint methods where both initial and final states are...

This dataset is linked to the paper titled "Observation-Driven Forecast of Global Terrestrial Water Storage and Evaluation for 2010–2024", published in WRR, which focuses on...

<p>Accurate determination of transition states is central to an understanding of reaction kinetics. Double-endpoint methods where both initial and final states are...