Publicaties | Datasets | |||||
IFCB Uto 2021 JERICO-RI Gulf of Finland Pilot Supersite [IFCB Utö 2021 JERICO-RI Gulf of Finland Pilot Supersite]
Citatie
Kraft, K., Haraguchi, L., Velhonoja, O., Seppälä, J. (2022). SYKE-plankton_IFCB_Utö_2021. https://doi.org/10.23728/B2SHARE.7C273B6F409C47E98A868D6517BE3AE3. https://marineinfo.org/doc/dataset/8218
Contact:
Finnish Environment Institute (FEI/SYKE), meer ;
Beschikbaarheid:
![]() Beschrijving
The data was used for validating CNN model performance for natural samples. The sample selection targeted on one sample per week from continuous operation between January to December 2021. Due to scarcity of some classes additional samples were selected from expected seasons. The selected samples were manually inspected: all classifications were assessed (confirmed or corrected) and all identifiable images that were left under the thresholds were labeled. The unidentifiable images that were left without an assigned class were considered as unclassified. More detailed explanation and example images can be found from the publication Kraft et al. 2022. Afstamming
Prior to publication data undergo quality control checked which are described in https://github.com/EMODnet/EMODnetBiocheck?tab=readme-ov-file#understanding-the-output Scope Thema's: Biologie > Plankton > Fytoplankton Kernwoorden: Marien/Kust, Biogeografische gebieden, Biota, Geen beperkingen op publieke toegang, Geowetenschappelijke informatie, Habitats en biotopen, Metadata niet conform, Metadata niet gecontroleerd, Milieu, Oceanen, WGS84 (EPSG:4326), XYZ ASCII, Zeegebieden, Baltic Sea, EurOBIS calculated BBOX, Chlorophyta, Chrysophyceae, Cryptophyceae, Cyanophyceae, , Dinophyceae, Euglenophyceae Geografische spreiding Baltic Sea [Marine Regions] EurOBIS calculated BBOX Stations
Bounding Box Coördinaten: MinLong: 21,37; MinLat: 59,78 - MaxLong: 21,37; MaxLat: 59,78 [WGS84] Taxonomic coverage
Parameters
Bijdrage door
Finnish Environment Institute (FEI/SYKE), meer, data creator
Gerelateerde datasets
Gepubliceerd in: EurOBIS: European Ocean Biodiversity Information System, meer
Publicatie
Beschrijft deze dataset
Kraft, K. et al. (2022). Towards operational phytoplankton recognition with automated high-throughput imaging, near-real-time data processing, and convolutional neural networks. Front. Mar. Sci. 9: 867695. https://dx.doi.org/10.3389/fmars.2022.867695, meer
URL's
Dataset informatie: Other: Data type: Data
Data oorsprong: Onderzoek: veldonderzoek
Datum van vrijgave: 2023-04-27
Metadatarecord aangemaakt: 2023-03-08
Informatie laatst gewijzigd: 2025-03-26
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