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Dynamics of the charge transfer to solvent process in aqueous iodide
Charge-transfer-to-solvent states in aqueous halides are ideal systems for studying the electron-transfer dynamics to the solvent involving a complex interplay between... -
Multiple exposure speckle imaging contrast database obtained in vitro on micr...
The dataset is composed of speckle contrast images of microfluidic channels with different flows and different exposure times. Speckle contrast images are provided for two... -
Expression and gene network datasets for benchmarking phenotype prediction
Companion simulated dataset for the preprint "Should we really use graph neural networks for transcriptomic prediction?" together with data obtained from the datasets:... -
1 Month-long skylight polarization images dataset
A public database composed of real-world color polarimetric images of the sky in various weather condition over a month (~ 08-2022) in La Timone, Marseille More information in... -
Projet Artisols - Occupation des sols en Occitanie - 2019
Le projet ArtiSols, soutenu par la Région Occitanie et le Fonds Européen de Développement Régional (FEDER), s’inscrit dans une démarche d’évaluation et de qualification du... -
Projet Artisols - Espaces bâtis
Le projet ArtiSols, soutenu par la Région Occitanie et le Fonds Européen de Développement Régional (FEDER), s’inscrit dans une démarche d’évaluation et de qualification du... -
Environmental data and image area measurements of different substrate types e...
This dataset contains the percentage coverage of different substrate types (live scleractinian corals, dead scleractinian framework, rubble, hard substrates and fine sediments)... -
Non-equilibrium nature of fracture determines the crack path
A high-fidelity neural network-based force field (NN-F³) is developed to cover the space of strain states up to material failure and the non-equilibrium, intermediate nature of... -
Non-equilibrium nature of fracture determines the crack path
A high-fidelity neural network-based force field (NN-F³) is developed to cover the space of strain states up to material failure and the non-equilibrium, intermediate nature of... -
Surface segregation in high-entropy alloys from alchemical machine learning: ...
High-entropy alloys (HEAs), containing several metallic elements in near-equimolar proportions, have long been of interest for their unique mechanical properties. More recently,... -
Surface segregation in high-entropy alloys from alchemical machine learning: ...
High-entropy alloys (HEAs), containing several metallic elements in near-equimolar proportions, have long been of interest for their unique mechanical properties. More recently,... -
Mechanism of charge transport in lithium thiophosphate
Lithium ortho-thiophosphate (Li₃PS₄) has emerged as a promising candidate for solid-state-electrolyte batteries, thanks to its highly conductive phases, cheap components, and... -
Predicting polymerization reactions via transfer learning using chemical lang...
Polymers are candidate materials for a wide range of sustainability applications such as carbon capture and energy storage. However, computational polymer discovery lacks... -
Mechanism of charge transport in lithium thiophosphate
Lithium ortho-thiophosphate (Li₃PS₄) has emerged as a promising candidate for solid-state-electrolyte batteries, thanks to its highly conductive phases, cheap components, and... -
Predicting polymerization reactions via transfer learning using chemical lang...
Polymers are candidate materials for a wide range of sustainability applications such as carbon capture and energy storage. However, computational polymer discovery lacks... -
Low-index mesoscopic surface reconstructions of Au surfaces using Bayesian fo...
Metal surfaces have long been known to reconstruct, significantly influencing their structural and catalytic properties. Many key mechanistic aspects of these subtle... -
MAAT, MAP and pH in soils and peats
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... -
Compilation of Branched GDGT data from globally distributed altitudinal trans...
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... -
Electronic excited states from physically-constrained machine learning
Data-driven techniques are increasingly used to replace electronic-structure calculations of matter. In this context, a relevant question is whether machine learning (ML) should... -
Electronic excited states from physically-constrained machine learning
Data-driven techniques are increasingly used to replace electronic-structure calculations of matter. In this context, a relevant question is whether machine learning (ML) should...