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Climate data for adaptation and vulnerability assessments (SWE) – west
The ClimAVA_SWE data set — where ClimAVA stands for Climate Data for Adaptation and Vulnerability Assessments — provides high-resolution (4 km) future climate projections... -
Clusters of atmopsheric and oceanic variables and teleconnections that are ca...
This project provides the dataset employed for the development of a machine learning framework designed to detect and interpret Tropical Cyclone Genesis (TCG) activity across... -
Near-surface air temperature dataset for the Qinghai-Tibet Plateau (2019) der...
This dataset provides high-resolution (30 m) spatialized near-surface air temperature products for the Qinghai-Tibet Plateau, updated using thermal infrared remote sensing data... -
Sentinel-3 OLCI daily averaged earth observation data of water constituents (...
Satellite remote sensing enables global monitoring of water quality in freshwater and marine ecosystems. However, consistent data quality is a challenge due to variations in the... -
Spatial distribution of air temperature in high-elevation glacierized regions...
This experiment contains 30-meter resolution near-surface air temperature datasets for four glacier regions (Guliya, Aru, Naimona’nyi, Dunde) on the Qinghai-Tibet Plateau,... -
HadEX-CAM dataset: original and deep learning infilled TX90p, TN90p, TX10p, T...
The HadEX-CAM dataset contains four land-based extreme indices (TX90p, TN90p, TX10p, TN10p) for the European region. The original dataset (containing missing values) has been... -
Spatialization of near-surface air temperature and updating based on thermal ...
The Qinghai-Tibet Plateau, known for its high altitude, cold climate, and fragile ecosystem, presents unique challenges and opportunities for the implementation of an... -
Climate data for adaptation and vulnerability assessments — northwest
Climate data for adaptation and vulnerability assessments — northwest (ClimAVA-NW) provides bias-corrected, downscaled daily climatic data at ~4km spatial resolution from 17... -
Sentinel-3 OLCI daily averaged earth observation data of water constituents
Sentinel-3 OLCI images processed with the Atmospheric Correction for Optical Water Types, A4O [Hieronymi et al. in prep & 2023], and the water algorithm OLCI Neural Network... -
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 number concentration of... -
Temperature Humidity Index GDDP-NEX-CMIP6 ML projections
The experiment conducted aimed to enhance the temporal resolution of climate projections for agricultural applications by using machine learning to downscale daily... -
Climate data for adaptation and vulnerability assessments — southwest
Climate data for adaptation and vulnerability assessments — southwest (ClimAVA-SW) provides bias-corrected, downscaled daily climatic data at ~4km spatial resolution from 17... -
SiDroForest: Synthetic Siberian Larch Tree Crown Dataset of 10.000 instances ...
This synthetic Siberian Larch tree crown dataset was created for upscaling and machine learning purposes as a part of the SiDroForest (Siberia Drone Forest Inventory) project.... -
The high-resolution topsoil plant-available phosphorus map of Estonia
The high-resolution (1:10,000) hybrid topsoil plant-available phosphorus map was produced by combining: (a) arable-land polygons with the median topsoil P value, (b) the machine... -
Python code: Classification of in situ high speed videos of the gravure print...
The files that are made available here are all the key components that are needed to recreate the automated classification of high speed videos of the gravure printing fluid... -
On the origin of in-gap states in amorphous Ge2Sb2Te5
<p>The localized states in the band gap of amorphous phase change alloys like Ge2Sb2Te5 control the electrical conduction via the Poole-Frenkel mechanism. Understanding... -
XRF down-core scanning and bulk chemistry measurements of sediments from the ...
Thirty marine sediment cores were collected from the subarctic Northwest Pacific (cruise SO264 with R/V SONNE in 2018), the central Drake Passage (cruise PS97 with RV Polarstern... -
Datasets for "EmbryoNet: Using deep learning to link embryonic phenotypes to ...
This is the data repository of the training and test data sets for EmbryoNet. The data is structured in multiple packages. EmbryoNet_Models (DOI 10.48606/31) contains the... -
Predicting challenging phase transitions with Bayesian active learning
<p>Materials underpin modern technologies, from energy harvesting, storage, and conversion to information and communication technologies. Their functionality is often... -
Datasets for "Uncovering developmental time and tempo using deep learning"
This is the data repository for training and testing the Twin Network. The imaging data repositories are divided into several packages based on independent experiments. The data...
