157 datasets found

Surface solar radiation drives the water cycle and energy exchange on the earth's surface, and its diffuse component can promote carbon uptake in ecosystems by increasing the...

Surface solar radiation drives the water cycle and energy exchange on the earth's surface, and its diffuse component can promote carbon uptake in ecosystems by increasing the...

A large-scale reference dataset for bioacoustics Please find the accompanying code at our official repository: github.com/livingingroups/animal2vec [Optional ]You can find the...

Code & simulations for "Kraft et al. (2021), Towards hybrid modeling of the global hydrological cycle. HESS". Note that some variables were omitted due to redundancy,...

TimeAssign is a program which recognizes temporal expressions and assigns TimeML labels to words in Polish text using a Bi-LSTM based neural net and wordform embeddings.

Here we provide the data samples (one-year data) to allow the users to fast test the machine learning workflow code that is published on Zenodo...

This record contains data for the manuskript "Exploring decomposition of temporal patterns to facilitate learning of neural networks for ground-level daily maximum 8-hour...

This record contains data for the manuscript "O3ResNet: A deep learning based forecast system to predict local ground-level daily maximum 8-hour average ozone in rural and...

This record contains data for the manuscript "O3ResNet: A deep learning based forecast system to predict local ground-level daily maximum 8-hour average ozone" by L. H. Leufen,...

This record contains data for the manuskript "Exploring decomposition of temporal patterns to facilitate learning of neural networks for ground-level daily maximum 8-hour...

This record contains all experiment data for the manuskript "Exploring decomposition of temporal patterns to facilitate learning of neural networks for near-surface dma8eu ozone...

JavaScript code to be implemented in Google Earth Engine(c) for Hybrid MSRM-Based Deep Learning and Multitemporal Sentinel 2-Based Machine Learning Algorithm. Algorithm for...

This dataset contains fish auction photos from different auctions of mediterranean spanish coast The Digipesca Project is a project funded by the Ministry of Agriculture,...

Many convolutional neural networks (CNNs) rely on progressive downsampling of their feature maps to increase the network's receptive field and decrease computational cost....

Omnidirectional depth perception is essential for mobile robotics applications that require scene understanding across a full 360° field of view. Camera-based setups offer a...

CatCrops_identification is a Python library developed for the early classification of crop types using remote sensing data (Sentinel-2) and ancillary information. It is based on...

Attribution maps are one of the most established tools to explain the functioning of computer vision models. They assign importance scores to input features, indicating how...