Published August 22, 2024 | Version v1
Model Dataset Open

Machine-learning-based classification model for pollen recognition using Rapid-E+ measurements

  • 1. Finnish Meteorological Institute

Description

The code and training dataset used to create, train, and validate the machine-learning-based classification model for pollen recognition using Rapid-E+ measurements are published as part of the paper by Sikoparija et al. (2024), available at https://doi.org/10.5194/egusphere-2024-187. The training dataset is available at http://lake.fmi.fi/rapid-e-plus-training/index.html.

Files

rapid_e_plus_final_model.zip

Files (193.0 MB)

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Checksum: md5:8cdac3d2aa4d75e7e1bd92149a78caba

PID: http://hdl.handle.net/11304/d3a7237a-b550-4084-8418-7b1a09b8e74a
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Additional details

Identifiers

URL
https://etsin.fairdata.fi/dataset/2c7bbcd1-be26-4c6e-a2b5-f7646649293c
B2SHARE Legacy Record ID
b5c9272c5ab64d9190d9ab93d9888702

Funding

Horizon Europe
SYLVA 101086109
Ministry Science, Technological Development and Innovations of the Republic of Serbia
200358

Instruments

Plair Rapid-E+
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Details

Expansion error: Instrument is not eligible for expansion

FMI metadata

Link to external data location (URL)
http://lake.fmi.fi/rapid-e-plus-training/index.html
Parameter
Parameter name : --
Parameter unit : --
Parameter description : --
Topic category
environment

Temporal Coverage

Ranges:

Start date: 2023-04-06
End date: 2023-09-26