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Data publication: Mineral quantification at deposit scale using drill-core hy...
We present a semi-automated workflow for large scale interpretation of Hyperspectral data, founded on a novel approach of mineral mapping based on a supervised dictionary... -
sdaas - a Python tool computing an amplitude anomaly score of seismic data an...
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,... -
Chemotion Repository - Data collection: FT-IR spectroscopy data (Chemotion IR)
This dataset comprises experimental data obtained from the characterization of chemical compounds synthesized across various chemical laboratories. The data was published in the... -
Supplement to: Machine learning classification for field distributions of pho...
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... -
Machine-learning-based classification model for pollen recognition using Rapi...
The code and training dataset used to create, train, and validate the machine-learning-based classification model for pollen recognition using Rapid-E+ measurements are... -
Monitoring the dynamics of surface water fraction from MODIS time series in a...
This research estimated the surface water fraction from MODIS 16-day 500 m Bidirectional Reflectance Distribution Function (BRDF) corrected surface reflectance image composites.... -
Dataset: output related to the paper 'Event detection in Twitter: A machine-l...
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... -
Data for learning-based prediction of the particles catchment area of deep oc...
In this study, we conducted a series of numerical Lagrangian experiments in the Porcupine Abyssal Plain region of the North Atlantic and developed a machine learning approach to... -
LoTuS Expertensystem
The LoTuS research project has developed a pilot cleaning system as a research and demonstration facility. Accompanying this, the LoTuS Expert System ("LoTuS Expertensystem")... -
Aspen Open Jets: a real-world ML-ready dataset for jet physics
This dataset contains approximately 180 M boosted jets, derived from open data collected by the CMS experiment at the Large Hadron Collider (LHC) in 2016 — specifically... -
Fracture network segmentation
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... -
Time resolved micro-XRCT dataset of Enzymatically Induced Calcite Precipitati...
The results of EICP (Enzyme Induced Calcite Precipitation) experiments. This dataset includes pressure measurements and 3D reconstructed X-ray images during the conducted... -
Dataset for Laakmann et al. "A Nascent Taxonomy of Machine Learning in Intell...
Dataset for the article: Laakmann, Lukas ; Ciftci, Seyyid A. ; Janiesch, Christian : A Nascent Taxonomy of Machine Learning in Intelligent Robotic Process Automation. Accepted... -
TFCGAN package: Conditional Generative Models in Time-Frequency domain for Gr...
Despite the exponential growth of the amount of ground‐motion data, ground‐motion records are not always available for all distances, magnitudes, and site conditions cases.... -
R scripts to cluster similar window photos using the affinity propagation mac...
This dataset features a collection of R scripts designed to leverage the Affinity Propagation machine-learning algorithm for clustering similar window photographs. These scripts... -
Code for automated detection of archaeological mounds using machine-learning ...
JavaScript code to be implemented in Google Earth Engine(c) for automated detection of archaeological mounds in Cholistan (Pakistan) using machine-learning classification of... -
Replication Data for: Fisher information for smart sampling in time-domain sp...
No data, just the Matlab programs to generate the data, and the algorithm to optimize and evaluate the sampling scheme -
Person Specific Realistic Virtual Speaker Code, demos and color version
Visual C++ code for a demo of a person specific virtual speaker with gray scale and color versions. -
Automated machine learning-based potsherd detection using high-resolution dro...
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... -
Results of the automated extraction of individual potsherd fragments in the s...
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...
