-
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... -
DIGIPESCA DATASET
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,... -
Hybrid MSRM-Based Deep Learning and Multitemporal Sentinel 2-Based Machine Le...
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... -
Automatic mapping of national surface water with OpenStreetMap and Sentinel-2...
DATASET FOR JOURNAL PAPER (https://doi.org/10.1016/j.jag.2021.102571) Large-scale mapping activities can benefit from the vastly increasing availability of earth observation... -
Accompanying Code and Models for Chapter 5 of the PhD Thesis "Global Inferenc...
This release contains the source code used for Chapter 5 of the PhD thesis "Global Inference and Local Syntax Representations for Event Extraction". It contains the... -
A Dataset for Virus Infection Reporter Virtual Staining in Fluorescence and B...
How to cite us Wyrzykowska, Maria, Gabriel della Maggiora, Nikita Deshpande, Ashkan Mokarian, and Artur Yakimovich. "A Benchmark for Virus Infection Reporter Virtual... -
Replication Data for: CAPTIV8 : A comprehensive large scale CAPsule endoscopy...
General description and ethics approvals: The dataset contains images and videos of wireless capsule endoscopic examinations of 10 patients focused on the large colon conducted... -
FastSurferVINN
Training checkpoints for FastSurferVINN (https://github.com/Deep-MI/FastSurfer) - please cite the paper when using this resource... -
FastSurfer-HypVINN Segmentation Models for Sub-Segmentation of the Hypothalam...
The hypothalamus plays a crucial role in the regulation of a broad range of physiological, behavioral, and cognitive functions. However, despite its importance, only a few... -
FastSurferVINN
Training checkpoints for FastSurferVINN (https://github.com/Deep-MI/FastSurfer) - please cite the paper when using this resource... -
Deep learning based 3d reconstruction for phenotyping of wheat seeds: dataset
We present a new data set for 3d wheat seed reconstruction, propose a challenge “Wheat Seed 3d Reconstruction Challenge”, and provide baseline methods [1]. The dataset consists... -
FastSurfer-HypVINN Segmentation Models for Sub-Segmentation of the Hypothalam...
The hypothalamus plays a crucial role in the regulation of a broad range of physiological, behavioral, and cognitive functions. However, despite its importance, only a few... -
Deep learning based 3d reconstruction for phenotyping of wheat seeds: dataset...
We present a new data set for 3d wheat seed reconstruction, propose a challenge “Wheat Seed 3d Reconstruction Challenge”, and provide baseline methods [1]. The dataset consists... -
Exploring decomposition of temporal patterns to facilitate learning of neural...
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... -
Exploring decomposition of temporal patterns to facilitate learning of neural...
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... -
O3ResNet: A deep learning based forecast system to predict local ground-level...
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,... -
O3ResNet: A deep learning based forecast system to predict local ground-level...
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... -
Exploring decomposition of temporal patterns to facilitate learning of neural...
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... -
Data Samples for temperature forecasting by deep learning methods
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... -
Annotated Southern Ocean diatom LM micrographs from POLARSTERN cruise PS103, ...
Samples were taken during expeditions PS103 by 20 µm mesh size plankton nets from ca. 15 to 0 m depth. To obtain clean siliceous diatom frustules, the samples were oxidized...
