-
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... -
Modeling the effect of biostimulants on Poinsettia crop performance
Modeling the effect of biostimulants on horticultural crop performance, Poinsettia: an approach combining non-target plant analysis methods and data science. Galaxy-ChemFlow,... -
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... -
Nowcasting euro area GDP with news sentiment: A tale of two crises (replicati...
Replication data for Ashwin et al (2024) Nowcasting euro area GDP with news sentiment: A tale of two crises. Code for the paper is available at... -
Curated Dataset of Association Constants Between a Cyclodextrin and a Guest f...
Determining the association constant between a cyclodextrin and a guest molecule is an important task for various applications in various industrial and academical fields.... -
Podocyrtis chalara and Podocyrtis goetheana including intermediate forms imag...
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... -
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... -
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... -
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... -
Algorithm for the visualization of subtle topographic change of variable size...
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... -
TPCOMP: Temporal Point Clouds of a wOrkpiece in the Machining Process
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... -
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... -
Imbalanced dataset for benchmarking
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,... -
Replication data for Machine Learning for the analysis of healthy lifestyle d...
In this scoping review we searched primary studies in the 3 principal health databases: PubMed by National Centre by Biotechnology Information (NCBI), PsychINFO by ProQuest and... -
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... -
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... -
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... -
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... -
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.... -
EmbryoNet_Drug-screen_BML-2840
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...