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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... -
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... -
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... -
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... -
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... -
A Global Dataset for Seasonal to Annual Forecasts of GRACE-like Gridded Terre...
This dataset is linked to the manuscript titled "GRACE-FCast: a global long-lead forecast of total water storage for 2010-2024," which focuses on seasonal to annual forecasting... -
Representing spherical tensors with scalar-based machine-learning models
Rotational symmetry plays a central role in physics, providing an elegant framework to describe how the properties of 3D objects – from atoms to the macroscopic scale –... -
The three-dimensional atomic-level structure of an amorphous glucagon-like pe...
Amorphous formulations are increasingly used in the pharmaceutical industry due to their increased solubility, but their structural characterization at atomic-level resolution... -
Maps of soil organic carbon stocks in Norwegian forests
Spatial patterns of predicted organic carbon stocks in Norwegian forest soils. The predictions are generated from boosted regression tree models and represent the predicted soil... -
Victoria Land Cover Map: Random Forest Classification Using Sentinel-2 Imager...
The land cover mapping of Victoria, Australia, for 2021/22 was conducted using Sentinel-2 satellite imagery and the random forest machine learning algorithm. This map represents... -
Bulk chemistry measurements and XRF spectra of sediments from the high latitu...
This dataset has no description
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Quantified high-resolution TOC and CaCO3 contents of sediments from the high ...
This dataset has no description
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Bulk chemistry measurements of sediments from the high latitude sectors of Pa...
This dataset has no description
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XRF down-core scanning and bulk chemistry measurements of sediments from the ...
Thirty marine sediment cores were collected from the subarctic Northwest Pacific (cruise SO264 with R/V SONNE in 2018), the central Drake Passage (cruise PS97 with RV Polarstern... -
Electrolyzers-HSI: Close-Range Multi-Scene Hyperspectral Imaging Benchmark Da...
Electrolyzers-HSI Dataset Description: The Electrolyzers-HSI dataset is a multiscene RGB-Hyperspectral benchmark dataset comprising 55 scene of shredded Electrolyzers samples.... -
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... -
SiDroForest: Synthetic Siberian Larch Tree Crown Dataset of 10.000 instances ...
This synthetic Siberian Larch tree crown dataset was created for upscaling and machine learning purposes as a part of the SiDroForest (Siberia Drone Forest Inventory) project.... -
Endoscopic Pituitary Surgery Pilot Action Dataset
The first public dataset containing action annotations of the endoscopic TransSphenoidal Approach (eTSA), consisting of 4 action annotations. The action annotations are given in... -
Database of scalable training of neural network potentials for complex interf...
This database contains the reference data used for direct force training of Artificial Neural Network (ANN) interatomic potentials using the atomic energy network (ænet) and...
