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Mapping tick dynamics and tick bite risk using data-driven approaches and vol...
This deposit contains the materials used during the development of this PhD thesis. During this research, we applied machine learning methods to obtain new insights about tick... -
Spatial+ Cross-Validation (SP-CV) experiments datasets and codes
This data includes all datasets and codes for implementing spatial+ cross-validation experiments. Except for datasets and code, Reademe.txt explains each file's meaning,... -
Detailed tree inventory and area coverage of remote mangrove forests (species...
This dataset contains detailed inventories of 7 large plots of mangrove forests in the Utría National Park in the Colombian Pacific Coast. The inventory consists of individual... -
Environmental data and image area measurements of different substrate types e...
This dataset contains the percentage coverage of different substrate types (live scleractinian corals, dead scleractinian framework, rubble, hard substrates and fine sediments)... -
Dense and taxonomically detailed habitat maps of coral reef benthos machine-g...
This dataset contains 248 benthic habitat maps, that were created from 31 underwater hyperspectral images captured with the HyperDiver device in 8 reef sites across the western... -
SDOstreamclust: Stream Clustering Robust to Concept Drift - Evaluation Tests
SDOstreamclust Evaluation Tests conducted for the paper: Stream Clustering Robust to Concept Drift. Please refer to: Iglesias Vazquez, F., Konzett, S., Zseby, T., & Bifet,... -
MAAT, MAP and pH in soils and peats
Branched glycerol dialkyl glycerol tetraethers (brGDGTs) are a family of bacterial lipids which have emerged over time as robust temperature and pH paleoproxies in continental... -
Adaptive pruning for increased robustness and reduced computational overhead ...
<p>Gaussian process (GP) regression provides a strategy for accelerating saddle point searches on high-dimensional energy surfaces by reducing the number of times the... -
Predicting the structure and swelling of microgels with different crosslinker...
<p>Microgels made of poly(<span>N</span>-isopropylacrylamide) are the prototype of soft, thermoresponsive particles widely used to study fundamental problems... -
Training Data and Models for the paper: Data-efficient U-Net for Segmentation...
This dataset contains scanning electron microscopy (SEM) images of steel alloys, including paired secondary electron (SE2) and in-lens (InLens) channels, with corresponding... -
Measurement data for: "Automatic measurements of left ventricular volumes and...
Time and measurement data for echocardiographic parameters as measured by a novel AI-based software and by standard clinical reference methods. -
Replication Data for: From machine learning to classroom learning: mobile vow...
The present study reports on a machine learning experiment concerning mobile vowels in the Russian preposition v ‘in(to)’. Data are extracted from the Russian National Corpus.... -
DualSleep dataset for accelerometer-based sleep/wakefulness recognition
The DualSleep dataset contains acceleration and temperature overnight recordings of 29 participants wearing two accelerometers at the thigh and lower back, together with the... -
Replication Data for: Quantifying Uncertainty in Foraminifera Classification:...
This dataset contains PNG images of individual foraminifera and sediment grains. The dataset contains a set of training images, and a set of test images. Each of the sets... -
Replication Data for: Are nuclear masks all you need for improved out-of-doma...
This dataset is a processed version of the CAMELYON17 dataset used in the NeurIPS 2024 paper "Are nuclear masks all you need for improved out-of-domain generalization? A closer... -
Replication Data for: Covering Blue Voices: African American English and Auth...
Repository Description This repository contains data for a quantitative analysis of blues lyrics performed by artists across time and socio-cultural groups. This analysis is a... -
Maps of soil organic carbon stocks in Norwegian forests
Spatial patterns of predicted organic carbon stocks in Norwegian forest soils. The predictions are generated from boosted regression tree models and represent the predicted soil... -
CFD-DEM and machine learning for modelling of plugging in pipes with cohesive...
This dataset contains model data for the CFD-DEM simulation of plugging in multiphase flows with cohesive particles. The main results available from the simulations are... -
UiT_TILs - Replication Data for "A Pragmatic Machine Learning Approach to Qua...
This dataset can be used to replicate the findings in "A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images". The motivation... -
Exploring the design space of machine-learning models for quantum chemistry w...
Traditional atomistic machine learning (ML) models serve as surrogates for quantum mechanical (QM) properties, predicting quantities such as dipole moments and polarizabilities,...
