SHARK - Phyto- and Microzooplankton Data Collected by Imaging FlowCytobots (IFCB) in Swedish and Adjacent Waters

Sampling event
最新版本 published by The Swedish Meteorological and Hydrological Institute on 2月 28, 2025 The Swedish Meteorological and Hydrological Institute

下載最新版本的 Darwin Core Archive (DwC-A) 資源,或資源詮釋資料的 EML 或 RTF 文字檔。

DwC-A資料集 下載 17,731 紀錄 在 English 中 (18 MB) - 更新頻率: 每年一次
元數據EML檔 下載 在 English 中 (33 KB)
元數據RTF文字檔 下載 在 English 中 (12 KB)

說明

Data is stored in the Swedish Ocean Archive database (SHARK), by the Swedish Meteorological and Hydrological Institute, National Oceanographic Data Centre.Monitoring is performed by Swedish Meteorological and Hydrological Institute. The monitoring is financed by monitoring projects.In short, analysis of phyto- and microzooplankton species composition, abundance and biomass is carried out for the following purposes.To describe temporal trends as well as the intensity and occurrence of blooms.To describe the spatial distribution of species.To identify key species (e.g. dominating, harmful, potential non-indigenous and/or invasive species, as well as indicator species).To provide basic data for complex ecosystem analyses, food web studies, modelling as well as for requirements in the frame of the Marine Strategy Framework Directive of the European Union (MSFD European Union 2008) and the EU Water Framework Directive (WFD European Union 2000).In this dataset you will find data from Tangesund oceanographic platform, Swedish Skagerrak coast year 2016 (IFCB110), and from R/V Svea (https://vocab.nerc.ac.uk/collection/C17/current/77SE/) from year 2022 onwards (IFCB134). Other sampling platforms are possible.

資料紀錄

此資源sampling event的資料已發佈為達爾文核心集檔案(DwC-A),其以一或多組資料表構成分享生物多樣性資料的標準格式。 核心資料表包含 17,731 筆紀錄。

亦存在 2 筆延伸集的資料表。延伸集中的紀錄補充核心集中紀錄的額外資訊。 每個延伸集資料表中資料筆數顯示如下。

Event (核心)
17731
ExtendedMeasurementOrFact 
1111062
Occurrence 
121103

此 IPT 存放資料以提供資料儲存庫服務。資料與資源的詮釋資料可由「下載」單元下載。「版本」表格列出此資源的其它公開版本,以便利追蹤其隨時間的變更。

版本

以下的表格只顯示可公開存取資源的已發布版本。

如何引用

研究者應依照以下指示引用此資源。:

Swedish Meteorological and Hydrological Institute (2024). SHARK - Phyto- and Microzooplankton Data Collected by Imaging FlowCytobots (IFCB) in Swedish and Adjacent Waters

權利

研究者應尊重以下權利聲明。:

此資料的發布者及權利單位為 The Swedish Meteorological and Hydrological Institute。 To the extent possible under law, the publisher has waived all rights to these data and has dedicated them to the Public Domain (CC0 1.0). Users may copy, modify, distribute and use the work, including for commercial purposes, without restriction.

GBIF 註冊

此資源已向GBIF註冊,並指定以下之GBIF UUID: a28ecb21-884c-4cc1-8e95-f0ec703609bd。  The Swedish Meteorological and Hydrological Institute 發佈此資源,並經由GBIF Sweden同意向GBIF註冊成為資料發佈者。

關鍵字

Samplingevent; Plankton

聯絡資訊

SHARK SMHI
  • 元數據提供者
  • 出處
  • 連絡人
  • Data manager
Swedish Meterological and Hydrological Institute (SMHI)
SE

地理涵蓋範圍

N/A

界定座標範圍 緯度南界 經度西界 [54.833, 5.804], 緯度北界 經度東界 [65.166, 23.821]

分類群涵蓋範圍

無相關描述

Kingdom Chromista, Plantae, Protozoa, Bacteria
Phylum Cyanobacteria, Myzozoa, Chlorophyta, Cercozoa, Cryptophyta, Euglenozoa, Bacillariophyta, Ochrophyta, Ciliophora
Class Dinophyceae, Chrysophyceae, Raphidophyceae, Cryptophyceae, Pyramimonadophyceae, Trebouxiophyceae, Oligotrichea, Dictyochophyceae, Euglenophyceae, Cyanophyceae, Chlorophyceae, Litostomatea, Thecofilosea, Ulvophyceae, Bacillariophyceae
Order Gonyaulacales, Ulotrichales, Thalassionematales, Gymnodiniales, Lithodesmiales, Eutreptiales, Coscinodiscales, Fragilariales, Dictyochales, Chaetocerotanae incertae sedis, Thalassiosirales, Cyclotrichiida, Pennales, Thoracosphaerales, Ebriales, Triceratiales, Choreotrichida, Oligotrichida, Chattonellales, Centrales, Dinophysales, Prorocentrales, Chromulinales, Rhizosoleniales, Chlorellales, Bacillariales, Chroococcales, Paraliales, Pyramimonadales, Tovelliales, Leptocylindrales, Pedinellales, Peridiniales, Hemiaulales, Amphidiniales, Cryptomonadales, Nostocales, Sphaeropleales, Licmophorales
Family Paraliaceae, Gymnodiniaceae, Fragilariaceae, Microcystaceae, Stephanodiscaceae, Tontoniidae, Dictyochaceae, Aphanizomenonaceae, Eutreptiaceae, Thalassiosiraceae, Thalassionemataceae, Dinophysaceae, Coscinodiscaceae, Triceratiaceae, Chattonellaceae, Actinomonadaceae, Metacylididae, Cladopyxidaceae, Protoperidiniaceae, Strombidiidae, Dinobryaceae, Chaetocerotaceae, Skeletonemaceae, Thoracosphaeraceae, Lithodesmiaceae, Leptocylindraceae, Pyramimonadaceae, Pyrocystaceae, Selenastraceae, Binucleariaceae, Ebriaceae, Polykrikaceae, Oxytoxaceae, Nodulariaceae, Oocystaceae, Lingulodiniaceae, Ceratiaceae, Prorocentraceae, Rhizosoleniaceae, Peridiniaceae, Licmophoraceae, Mesodiniidae, Gyrodiniaceae, Gonyaulacaceae, Hemiaulaceae, Kareniaceae, Warnowiaceae, Tovelliaceae, Scenedesmaceae, Heterocapsaceae, Amphidiniaceae, Bacillariaceae

時間涵蓋範圍

起始日期 / 結束日期 2016-08-10 / 2024-12-15

取樣方法

Sampling is performed either using shipboard flow through systems (i.e. FerryBox) where the Imaging FlowCytobot (IFCB) is connected as an addon, or at specific locations with the IFCB is submerged in-situ. Other deployment methods are possible. The IFCB uses flow cytometry technology and high-resolution images to detects particles in a water sample. Shapes in images are identified to best possible taxonomical levels using AI-assisted image analysis software. Volumes are estimated from the organism’s two-dimensional boundary.

研究範圍 Data are collected within the following marine ecoregions: http://marineregions.org/mrgid/2401, http://marineregions.org/mrgid/2374, http://marineregions.org/mrgid/2379, http://marineregions.org/mrgid/2350

方法步驟描述:

  1. The analysis follows the methods provided - Machine learning: Sosik, H. M. and Olson, R. J. (2007), Automated taxonomic classification of phytoplankton sampled with imaging-in-flow cytometry. Limnol. Oceanogr: Methods 5, 204–216. http://github.com/hsosik/ifcb-analysis - Quality control: Hayashi, K., Walton, J., Lie, A., Smith, J. and Kudela M. Using particle size distribution (PSD) to automate imaging flow cytobot (IFCB) data quality in coastal California, USA. In prep. http://github.com/kudelalab/PSD - Data processing: Anders Torstensson (2024). I 'R' FlowCytobot (iRfcb): Tools for Analyzing and Processing Data from the IFCB. R package version 0.3.10. https://doi.org/10.5281/zenodo.12533225. http://github.com/EuropeanIFCBGroup/iRfcb

額外的詮釋資料