Asset Type
Dataset
Real energy dataset from 3 industrial sites in EU
A dataset containing real data related to energy consumption from 3 industrial sites in EU
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Asset Type
Dataset
Real energy and environmental dataset from 20 retail stores in Italy
A dataset containing real data from 20 retails stores in Italy related to energy consumption and environmental well-being
Asset Type
Dataset
Labels for land-cover classification in livestock farms
This dataset contains a set of georeferenced labels used in the LIVE4ENV project for training and evaluating an AI model for land-cover classification in livestock farms. It includes 3 classes: - 0: non-productive areas - 1: woodland - 2: pasture
Asset Type
Dataset
Sensor Community AI Calibrated Data Sofia Jan-May 2022
This dataset contains corrected PM10 measurements for Sofia Jan-May 2022 fetched from Sensor Community and calibrated with an Extremely Randomised Tree.
Asset Type
Dataset
PLANET (hyPer Local climAte driven Tool)
Climate change, with its accompanying global warming and increasingly severe weather conditions, presents substantial risks to agricultural sustainability worldwide. This is driving the agri-food sector to adapt through the use of new technologies and str...
Asset Type
Dataset
Montenegro 2022 electricity generation
A dataset of the Montenegro electricity generation by generation unit for the whole year 2022, in an hourly basis.
Asset Type
Dataset
Montenegro Hydro Storage 2020-2022
Data storage of Piva, Krupac and Slano, Montenegro water reservoirs from 2020 to 2022.
Asset Type
Dataset
Montenegro 2020 to 2022 Holidays
Small dataset with the days that were Holiday in Montenegro on an hourly basis for years 2020, 2021 and 2022.
Asset Type
Dataset
Montenegro 2019-23 electricity dataset
This dataset contains data of electricity generation of Montenegro and several neighboring countries between 2019 and mid 2023. Data was gathered from the ENTSOE transparency platform.
Asset Type
Dataset
Dataset for Soil Moisture Prediction [EO4NOWCAST project]
This dataset contains a set of samples used in the EO4NOWCAST project to train a ML model to predict current soil moisture map in a Area of Interest (in this case, Genoa basin in Italy). Soil Moisture estimation is a crucial parameter for prediction of fl...