38 datasets found

This dataset contains the drugscreen of the known bioactives library (Enzo Screen Well BML 2840) including the imaging data (time lapse bright-field microscopy of zebrafish...

This dataset contains the drugscreen of the FDA-approved drug library (Enzo Screen Well BML 2843, Plates 1-2) including the imaging data (time lapse bright-field microscopy) and...

This dataset features the training models, emotion classifications and emotion patterns before and after events, related to the paper: F. Kunneman, M. van Mulken and A. Van den...

This dataset features the output of intermediate steps and the final output of the research that is described in the paper: F. Kunneman and A. Van den Bosch (2014), Event...

This research estimated the surface water fraction from MODIS 16-day 500 m Bidirectional Reflectance Distribution Function (BRDF) corrected surface reflectance image composites....

We've provided a readme.pdf to explain how to use the dataset. Here, we reiterate some of that information to assist others in utilizing the dataset. Please be aware that the...

The increasingly high number of big data applications in seismology has made quality control tools to filter, discard, or rank data of extreme importance. In this framework,...

Two images datasets of Podocyrtis chalara and Podocyrtis goetheana including intermediate forms one or two intermediate forms. One dataset consists of four classes while the...

Rationale: The World Health Organization (WHO) has declared the current coronavirus disease (COVID-19) outbreak, caused by the SARS-CoV-2 virus, to be a pandemic and,...

The results of EICP (Enzyme Induced Calcite Precipitation) experiments. This dataset includes pressure measurements and 3D reconstructed X-ray images during the conducted...

This dataset contains the codes to reproduce the five different segmentation results of the paper Lee et al (2021). The original dataset before applying these segmentation codes...

This dataset is made up of images containing handwritten 3-digit occupation codes from the Norwegian population census of 1950. The occupation codes were added to the census...

Electromagnetic modes of photonic nanostructures can exhibit increased near-field energy densities which can be applied in many fields such as biosensing, quantum dot solar...

The different algorithms of the "imbalanced-learn" toolbox are evaluated on a set of common dataset, which are more or less balanced. These benchmark have been proposed in Ding,...

These folders store the results of the automated extraction of individual potsherd fragments in the soil surface provided by two different approaches. They both used the same...

JavaScript code to be implemented in Google Earth Engine(c). The multi-scale relief model (MSRM) is a new algorithm for the visual interpretation of landforms using DSMs. The...

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...

JavaScript code to be implemented in Google Earth Engine(c) for automated machine learning-based potsherd detection using high-resolution drone imagery. This research presents...

Temporal point clouds sampled from a workpiece in progress using 16 different machining tools. The datasets were created using a machining simulation in the Unit Industrial...

JavaScript code to be implemented in Google Earth Engine(c) for automated detection of archaeological mounds in Cholistan (Pakistan) using machine-learning classification of...