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Uncertainty in Power System State Variables
The dataset is used to evaluate the uncertainty in power system state variables obtained through synchronized measurements. -
Quantifying Multimodality in World Models
Multimodality in World Models -
Black Swan events
The dataset used in this paper is a set of events that are unimaginable for a given agent, which we call Black Swan events. -
EmoPain dataset
The EmoPain dataset consists of sequential data from multiple modalities and in unconstrained settings where there are bound to be uncertainties (e.g. in form of sensor noise)... -
Multi-resolution neural networks for tracking seismic horizons from few train...
Seismic images with horizon locations annotated with uncertainty -
MUAD: Multiple Uncertainties for Autonomous Driving
MUAD: A synthetic dataset for autonomous driving with multiple uncertainties and annotations for semantic segmentation, depth estimation, object detection, and instance... -
PANGAEA (Data Publisher for Earth & Environmental Science)
Imported
Animations on the visualization of 3D geological models and their uncertainty
The digital animations accompany the article “On the visualization of 3D geological models and their uncertainty”, published in 2021 in the ZDGG - Journal of Applied and... -
PANGAEA (Data Publisher for Earth & Environmental Science)
Imported
Paleo±Dust: Quantifying uncertainty in paleo-dust deposition across archive t...
Paleo±Dust is an updated compilation of bulk and <10-µm paleo-dust deposition rate with quantitative 1-σ uncertainties that are inter-comparable among archive types (lake... -
PANGAEA (Data Publisher for Earth & Environmental Science)
Imported
Spatially predicted sedimentation rates, organic carbon densities and organic...
The dataset contains spatially predicted linear sedimentation rates, organic carbon densities, organic carbon accumulation rates and the associated uncertainties in the... -
PANGAEA (Data Publisher for Earth & Environmental Science)
Imported
Projections of continental and global irrigated areas to 2050
The dataset contains the A and B sample matrices with all the parameters used in the paper "Current models underestimate future irrigated areas". It includes the model output,...
