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Spatialization of near-surface air temperature and updating based on thermal ...
The Qinghai-Tibet Plateau, known for its high altitude, cold climate, and fragile ecosystem, presents unique challenges and opportunities for the implementation of an... -
Climate data for adaptation and vulnerability assessments — northwest
Climate data for adaptation and vulnerability assessments — northwest (ClimAVA-NW) provides bias-corrected, downscaled daily climatic data at ~4km spatial resolution from 17... -
Sentinel-3 OLCI daily averaged earth observation data of water constituents
Sentinel-3 OLCI images processed with the Atmospheric Correction for Optical Water Types, A4O [Hieronymi et al. in prep & 2023], and the water algorithm OLCI Neural Network... -
IceCloudNet: 3D reconstruction of cloud ice from Meteosat SEVIRI - data
IceCloudNet is a novel method based on machine learning able to obtain high- quality vertically resolved predictions for ice water content and ice crystal... -
Temperature Humidity Index GDDP-NEX-CMIP6 ML projections
The experiment conducted aimed to enhance the temporal resolution of climate projections for agricultural applications by using machine learning to downscale daily... -
Climate data for adaptation and vulnerability assessments — southwest
Climate data for adaptation and vulnerability assessments — southwest (ClimAVA-SW) provides bias-corrected, downscaled daily climatic data at ~4km spatial resolution from 17... -
The SWELL Knowledge Work Dataset for Stress and User Modeling Research
This is the multimodal SWELL knowledge work (SWELL-KW) dataset for research on stress and user modeling. The dataset was collected in an experiment, in which 25 people performed... -
The MSC Data Set
From this page you can download resources we created for modal sense classification as reported in Zhou et al. (2015), Marasović et al. (2016) and Marasović and Frank (2015)... -
Seasonal hydroclimate recorded in high resolution δ18O profiles across Pinus ...
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... -
Machine learning on multiple topological materials datasets
A dataset of 35,608 materials with their topological properties is constructed by combining the density functional theory (DFT) results of Materiae and the Topological Materials... -
Machine learning on multiple topological materials datasets
A dataset of 35,608 materials with their topological properties is constructed by combining the density functional theory (DFT) results of Materiae and the Topological Materials... -
Constructing multicomponent cluster expansions with machine-learning and chem...
Cluster expansions are commonly employed as surrogate models to link the electronic structure of an alloy to its finite-temperature properties. Using cluster expansions to model... -
Training and development dataset for information extraction in plant epidemio...
The “Training and development dataset for information extraction in plant epidemiomonitoring” is the annotation set of the “Corpus for the epidemiomonitoring of plant”. The... -
Solar Wind Speed Prediction from Coronal Holes
The solar wind, a stream of charged particles originating from the Sun and transcending interplanetary space, poses risks to technology and astronauts. In particular geomagnetic... -
High resolution native forest map of Eastern Arc Mountains
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... -
Do we really need machine learning interatomic potentials for modeling amorph...
In this study, we benchmarked various interatomic potentials and force fields in comparison to an ab initio dataset for bulk amorphous alumina. We investigated a comprehensive... -
Dataset of self-consistent Hubbard parameters for Ni, Mn and Fe from linear-r...
Density-functional theory with extended Hubbard functionals (DFT+U+V) provides a robust framework to accurately describe complex materials containing transition-metal or... -
Dataset of self-consistent Hubbard parameters for Ni, Mn and Fe from linear-r...
Density-functional theory with extended Hubbard functionals (DFT+U+V) provides a robust framework to accurately describe complex materials containing transition-metal or... -
Classification of gravure printed patterns using singular value decomposition...
This dataset contains MATLAB code ('code_MachLearn_ImgClass.zip') for automated classification of gravure printed patterns from the HYPA-p dataset. The developed algorithm... -
Spectral operator representations
Materials are often represented in machine learning applications by (chemical-)geometric descriptions of their atomic structure. In this work, we propose an alternative...
