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Srebarna Lake, water level, 2010-2020
No full textWater level of the lake measured in Baltic system of heights (BSV), monthly averag
MLAir (v1.0.0) - a tool to enable fast and flexible machine learning on air data time series - Source Code
No full textMLAir (Machine Learning on Air data) is an environment that simplifies and accelerates the creation of new machine learning (ML) models for the analysis and forecasting of meteorological and air quality time series.
Current developments can be tracked in the gitlab repository: https://gitlab.version.fz-juelich.de/toar/mlair
This resource contains the MLAir version 1.0.0 in a zip archive (MLAir - v1.0.0.zip), as well the requirements (requirements.txt), a readme (README.md), and distribution file (mlair-1.0.0-py3-none-any.whl) for easy installation using the package installer for python (pip). Instructions on the installation von MLAir can be found in the readme file. If an installation is not preferred, the docker version of MLAir (mlair_docker_v1.0.0.tar.gz) is a possible alternative. A short guide on how to use it can be found in INSTRUCTIONS_mlair_docker_v1.0.0.md. Please note that the docker version does not provide GPU acceleration
LTER, Srebarna, Bulgaria, Biodiversity Data, Pelecanus crispus, number of breeding pairs
No full textWe provide long-term data for the number of breeding pairs (1955-2020) of Dalmatian Pelican, Pelecanus crispus in Srebarna Lake
EHL Dataset EOSC Fast Track Grant Covid-19 Data Analysis with CXR Images (Covid-19, Normal, Pneumonia)
No full textThe total size of the EHL Data is 305 MB, and the images’ resolutions vary quite a lot. Some Covid-19 images are about 1239x1024 and other normal images in the dataset are mostly around 390x320. The files are 2200 images provided by EHL with labels of Normal, Covid-19, and Pneumonia. The files are separated as train and test datasets used for machine and deep learning analysis.
Dataset Label Train Test Total
EHL Covid-19 84 100 184
EHL Normal 198 1700 1898
EHL Pneumonia 21 97 11
Aneboda ICP IM, chemistry and meteorological data
No full textChemistry and meteorological data from the ICP Integrated Monitoring site Anebod
Archived material from the TOAR-II Manuscript Scoping Event, Nov 16 - 18, 2021
No full textThe Tropospheric Ozone Assessment Report (TOAR) is an initiative of the International Global Atmospheric Chemistry (IGAC) project. TOAR-II is the second phase of TOAR. It builds on the successful completion of the first comprehensive assessment on tropospheric ozone and will last from 2020 to 2024. This data publication contains a summary report and slides from the TOAR-II Manuscript Scoping Event from Nov, 16th, 2021 to Nov, 18th, 2021. This 3-day workshop was held globally in virtual format and attracted over 100 participants. The aim was to identify the papers that will be submitted to the TOAR-II Community Special Issue by September 2023. More information about TOAR-II can be found at https://igacproject.org/activities/TOAR/TOAR-II
LTER Northern Adriatic Sea (Italy) marine data from 1965 to 2015
No full textThe present database contains observations for 21 parameters of abiotic, phyto and zooplankton data collected in the Northern Adriatic Sea region (Italy). It relies on a Comma Separated Values file and it is composed by 108687 records. Due to its long temporal coverage, it is classifiable as Long Term Ecological data. Due to the long temporal coverage, the great part of parameters changed collection and analysis method in time. These variations are reported in the database. A long term database can be useful for multiple purposes. This database has been released under a research project focused on Open Science principles application to marine ecology
