A SYstem for ReaL-Time
ObserVation of Aeroallergens

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SYLVA Products
Level 0 (raw) bioaerosol data
Access Level 0 data on SYLVA Data Portal
Level 1 (processed) bioaerosol data
Access Level 1 data on SYLVA Data Portal
Algorithms for processing Level 0 data
Access algorithms on SYLVA Data Portal
Reference datasets for training bioaerosol monitors
Access reference datasets on SYLVA Data Portal
eDNA operational protocol

Operational protocol for eDNA sampling and analysis

📅 Scheduled release: June 2025

Pollen-satellite link method

Method to link in situ pollen observations with Copernicus satellite data

📅 Scheduled release: September 2025

Data fusion & assimilation toolkit

Data assimilation and fusion methods for integrating real-time bioaerosol data in models

📅 Scheduled release: November 2025

Custom data gateway API

Gateway API for custom data queries tailored to users' needs

📅 Scheduled release: December 2025

SYLVA apps

Web and smartphone apps showcasing the use of SYLVA's real-time data and forecasts

📅 Scheduled release: January 2026

Bioaerosol time series homogenisation

Homogenisation method for merging manual and automatic climatological bioaerosol time series

📅 Scheduled release: May 2026

European air eDNA atlas

Biological composition of air in Europe based on eDNA analysis

📅 Scheduled release: July 2026

EU bioaerosol monitoring standard

European standard for automatic bioaerosol monitoring

📅 Scheduled release: December 2026

Training Materials
SYLVA Training Package 1: Producing reference datasets for training bioaerosol identification algorithms

This training package provides guidance for producing datasets to develop bioaerosol identification algorithms, outlining methods suited to various purposes and SYLVA instruments – from real-time devices to environmental DNA (eDNA) monitoring.

Download SYLVA Training Package 1 (PDF, 1.86 MB)

Video tutorial: Creating a training dataset for Urtica pollen using the SwisensPoleno instrument.