256 datasets found

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...

Large-Language Models such as ChatGPT have the potential to revo- lutionize academic teaching in physics in a similar way the electronic calculator, the home computer or the...

Simulations of chemical reactivity in condensed phase systems represent an ongoing challenge in computational chemistry, where traditional quantum chemical approaches typically...

The first public dataset containing both step and instrument annotations of the endoscopic TransSphenoidal Approach (eTSA). The dataset includes 25-videos...

The data set includes data about the Palestinian children mental health status and cognitive ability living in political violent environment Schoolchildren Mental Health and...

This is the organized python functions of proposed methods in Yanwen Wang PhD research. Researchers can directly use these functions to conduct spatial+ cross-validation,...

This data includes all datasets and codes for implementing spatial+ cross-validation experiments. Except for datasets and code, Reademe.txt explains each file's meaning,...

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...

The trees sampled in this study are growing at the Persimmon Gully Nature Preserve (30º 19' N, 93º 32' W, 15 masl) in southwestern Louisiana. Four cores (2A, 3B, 15A, 15B; all...

The widespread application of machine learning (ML) to the chemical sciences is making it very important to understand how the ML models learn to correlate chemical structures...

Materials are often represented in machine learning applications by (chemical-)geometric descriptions of their atomic structure. In this work, we propose an alternative...

GAMI is an updated dataset providing global forest age distributions for 2010 and 2020 with 100-meter resolution, improving upon the MPI-BGC forest age product. Utilizing...

Socioeconomic dataset for analysing  demand prediction of weekend markets in the city of Hamburg, Germany   In this DDLitlab funded Data Literacy student project, our...

The first public dataset containing both instrument and surgical skill assessment annotations in a high-fidelity bench-top phantom (www.store.upsurgeon.com/products/tnsbox/) of...

Two-dimensional (2D) materials have attracted considerable attention due to their remarkable electronic, mechanical and optical properties, making them prime candidates for...

Materials demonstrating positive thermal expansion (PTE) or negative thermal expansion (NTE) are quite common, whereas those exhibiting zero thermal expansion (ZTE) are notably...

This data repository contains the datasets used in the paper "Inverting the Kohn-Sham equations with physics-informed machine learning".  It contains the data...

This record contains three datasets and the scripts used to generate figures in "Expanding density-correlation machine learning representations for anisotropic coarse-grained...

Machine-learned potentials (MLPs) trained on ab initio data combine the computational efficiency of classical interatomic potentials with the accuracy and generality of the...