Algal Blooms Sweden - 2022

SND-ID: 2022-198-1.

Access to data via

DOI

https://doi.org/10.5281/zenodo.7234158

Citation

Creator/Principal investigator(s)

Ana Tronholm - University of Gothenburg, Biological and Environmental Sciences

Magnus Lindeberg - Maranics AB

Jurie Germishuys - Combine Control Systems AB

Research principal

University of Gothenburg - Biological and Environmental Sciences

Principal's reference number

Formas 2020-00714

Description

Dataset containing images of algal blooms in the Baltic Sea. The data is provided with a metadata description containing time spotted, comments, municipality, county and coordinates of each image. The images and metadata file are archived in a zip package. Images show various summer surface accumulations of so-called harmful algal blooms (HABs) or nuisance blooms. Typically, these blooms consists of species of cyanobacteria of the order of Nostocales, including toxic Nodularia and Aphanizomenon. These blooms were verified by Informationscentralen (Länsstyrelsen Stockholm and Länsstyrelsen Västerbotten). However, the blooms seen in the images have not been taxonomically annotated by microscopy nor genetic analysis.

The following data fields are contained in the metadata files (provided in both json and csv format):

report_id: unique identifier for reporting record, type: string
time_spotted: date that bloom was spotted, type: datetime
algae_overview_photo: url to overview photo submitted, type: string
algae_detail_photo: url to detailed photo submitted, type: string
comments: Any additional information relating to the bloom, type: string
lat: Latitude of position where bloom was seen, type: float
long: Longitude of position where bloom was seen, type: float
place: County where bloom was spotted, type: string
kommun: Municipality where bloom was spotted, type: string

Total observations: 161
Note: Not every observation has an accompanying image and others were verified using other information provided.
Two of the submitted photographs for 2022 contained unintentionally collected personal data. They have been excluded from this dataset to make open data publishing possible. Show less..

Data contains personal data

Language

English

Swedish

Method and outcome

Time period(s) investigated

2022-03-23 – 2022-09-12

Variables

161

Data format / data structure

Species and taxons

Data collection

Mode of collection: Compilation/Synthesis
Description of the mode of collection: Compilation of digital photographs submitted by participants of a citizen science project, along with metadata.
Time period(s) for data collection: 2022-03-23 – 2022-09-12
Instrument: Digital camera (Technical instrument(s))

Geographic coverage

Geographic spread

Geographic description: Swedish Baltic Sea coast

Administrative information

Responsible department/unit

Biological and Environmental Sciences

Funding

Funding agency: Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (FORMAS)
Funding agency's reference number: 2020-00714
Project name on the application: Åtgärder mot farliga algblomningar: Utveckling av en innovativ och integrerande metod för att förutsäga giftiga cyanobakterier i en föränderlig miljö
Funding information: Tackling Harmful Algal Blooms: Development of an innovative and integrative method for forecasting toxic cyanobacteria in a changing environment

Topic and keywords

Research area

Ecology (Standard för svensk indelning av forskningsämnen 2011)

Biota (INSPIRE topic categories)

Oceans (INSPIRE topic categories)

Environment (INSPIRE topic categories)

Keywords

Harmful algal bloom, Algal bloom, Citizen science, Procaryote, Cyanobacteria, Species distribution, Baltic sea

Publications