338 datasets found

Slides from the Training "Towards physics-based deep learning in OpenFOAM: Combining OpenFOAM with the PyTorch C++ API" given at the 17th OpenFOAM Workshop

The files that are made available here are all the key components that are needed to recreate the automated classification of high speed videos of the gravure printing fluid...

Slides: 18th OpenFOAM Workshop - Efficiently combining Machine Learning with OpenFOAM using SmartSim

Raw data, windowed data, and features extracted from windowed data: from the force/torque and accelerometers during human exploration of surfaces.

Data that goes with paper entitled "An automated approach for counting groups of flying animals applied to one of the world’s largest bat colonies" published by the same authors...

The Gravity field and steady-state ocean circulation explorer (GOCE) satellite mission carries three platform magnetometers. After careful calibration, the data acquired through...

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)...

Monitoring the spatio-temporal variations of surface chlorophyll-a concentration (Chl, a proxy of phytoplankton biomass) greatly benefited from the availability of continuous...

PCB-Vision Dataset Description: The PCB-Vision dataset is a multiscene RGB-Hyperspectral benchmark dataset comprising 53 Printed Circuit Boards (PCBs). The RGB images are...

Nitrogen (N) and Phosphorus (P) are essential nutritional elements for life processes in water bodies. However, in excessive quantities, they may represent a significant source...

Code of Dietel et al.: "Combined impacts of temperature, sea ice coverage, and mixing ratios of sea spray and dust on cloud phase over the Arctic and Southern Oceans", submitted...

Datensatz zu Schulz und Lerch (2022): "Machine learning methods for postprocessing ensemble forecasts of wind gusts: A systematic comparison", Monthly Weather Review, 150 (1),...

Slides of the 19th OpenFOAM Workshop Training "Combining Machine Learning with Computational Fluid Dynamics using OpenFOAM and SmartSim"

Two object detection models using Darknet/YOLOv4 were trained on images of the coral Desmophyllum pertusum from the Kosterhavet National Park. In one of the models, the training...

These are the experimental data for the paper Bach, Jakob, Markus Iser, and Klemens Böhm. "A Comprehensive Study of k-Portfolios of Recent SAT Solvers" published at the...

These are the experimental data for the paper Ordoni, Elaheh, Jakob Bach, and Ann-Katrin Fleck. "Analyzing and Predicting Verification of Data-Aware Process Models--A Case...

Atmospheric pollution is a major concern due to its well-documented and detrimental impacts on human health, with millions of excess deaths attributed to it annually....

Model weights for animal2vec Please find the accompanying code at our official repository: github.com/livingingroups/animal2vec Here you find the model weights for the...

This data repository contains the datasets used in the paper "Inverting the Kohn-Sham equations with physics-informed machine learning".  It contains the data...

Socioeconomic dataset for analysing  demand prediction of weekend markets in the city of Hamburg, Germany   In this DDLitlab funded Data Literacy student project, our...