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Podocyrtis chalara and Podocyrtis goetheana including intermediate forms imag...
Two images datasets of Podocyrtis chalara and Podocyrtis goetheana including intermediate forms one or two intermediate forms. One dataset consists of four classes while the... -
Modeling the effect of biostimulants on Poinsettia crop performance
Modeling the effect of biostimulants on horticultural crop performance, Poinsettia: an approach combining non-target plant analysis methods and data science. Galaxy-ChemFlow,... -
Supplement to: Machine learning classification for field distributions of pho...
Electromagnetic modes of photonic nanostructures can exhibit increased near-field energy densities which can be applied in many fields such as biosensing, quantum dot solar... -
Chemotion Repository - Data collection: FT-IR spectroscopy data (Chemotion IR)
This dataset comprises experimental data obtained from the characterization of chemical compounds synthesized across various chemical laboratories. The data was published in the... -
Curated Dataset of Association Constants Between a Cyclodextrin and a Guest f...
Determining the association constant between a cyclodextrin and a guest molecule is an important task for various applications in various industrial and academical fields.... -
EGOFALLS: A visual-audio dataset and benchmark for fall detection using egoce...
We've provided a readme.pdf to explain how to use the dataset. Here, we reiterate some of that information to assist others in utilizing the dataset. Please be aware that the... -
sdaas - a Python tool computing an amplitude anomaly score of seismic data an...
The increasingly high number of big data applications in seismology has made quality control tools to filter, discard, or rank data of extreme importance. In this framework,... -
Remote Early Detection of SARS-CoV-2 infections (COVID-RED)
Rationale: The World Health Organization (WHO) has declared the current coronavirus disease (COVID-19) outbreak, caused by the SARS-CoV-2 virus, to be a pandemic and,... -
3-digit occupation code images from the Norwegian census of 1950 - Manual rev...
This dataset is made up of images containing handwritten 3-digit occupation codes from the Norwegian population census of 1950. The occupation codes were added to the census... -
Wild-Anim Dataset
The Wild-Anim dataset available from this page consists of 5 classes that contains uniformly distributed images examples of wild animals. In total, the dataset contains 5000... -
Thermomechanical properties of honeycomb lattices from internal-coordinates p...
Lattice dynamics in low-dimensional materials and, in particular, the quadratic behaviour of the flexural acoustic modes play a fundamental role in their thermomechanical and... -
Thermomechanical properties of honeycomb lattices from internal-coordinates p...
Lattice dynamics in low-dimensional materials and, in particular, the quadratic behaviour of the flexural acoustic modes play a fundamental role in their thermomechanical... -
Synthesis of Metal-Organic Frameworks: capturing chemical intuition
We report a methodology using machine learning to capture chemical intuition from a set of (partially) failed attempts to synthesize a metal organic framework. We define... -
Phase-only holograms and captured photographs
This dataset includes phase-only holograms optimized using an ideal holographic light transport model in the near field (Fresnel approximation). The dataset also includes... -
Electronic structure calculations of twisted multi-layer graphene superlattices
Quantum confinement endows two-dimensional (2D) layered materials with exceptional physics and novel properties compared to their bulk counterparts. Although certain two- and... -
Gaussian Approximation Potentials for iron from extended first-principles dat...
Interatomic potentials are often necessary to describe complex realistic systems that would be too costly to study from first-principles. Commonly, interatomic potentials are... -
Capturing chemical intuition in synthesis of metal-organic frameworks
We report a methodology using machine learning to capture chemical intuition from a set of (partially) failed attempts to synthesize a metal organic framework. We define... -
Capturing chemical intuition in synthesis of metal-organic frameworks
We report a methodology using machine learning to capture chemical intuition from a set of (partially) failed attempts to synthesize a metal organic framework. We define... -
CA-9, a dataset of carbon allotropes for training and testing of neural netwo...
The use of machine learning to accelerate computer simulations is on the rise. In atomistic simulations, the use of machine learning interatomic potentials (ML-IAPs) can... -
Capturing chemical intuition in synthesis of metal-organic frameworks
We report a methodology using machine learning to capture chemical intuition from a set of (partially) failed attempts to synthesize a metal organic framework. We define...
