Algal Blooms Sweden - 2022
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.
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Opens in a new tabhttps://doi.org/10.5281/zenodo.7234158
Citation and access
Citation and access
Data access level:
Creator/Principal investigator(s):
- Magnus Lindeberg - Maranics AB
- Jurie Germishuys - Combine Control Systems AB
Research principal:
Principal's reference number:
- Formas 2020-00714
Data contains personal data:
No
Citation:
Method and outcome
Method and outcome
Time period(s) investigated:
Variables:
161
Data format/data structure:
Species and taxons:
Data collection - Compilation/Synthesis
Data collection - Compilation/Synthesis
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
Instrument
Name:
Digital camera
Type:
Technical instrument(s)
Geographic coverage
Geographic coverage
Geographic description:
Swedish Baltic Sea coast
Administrative information
Administrative information
Responsible department/unit:
Biological and Environmental Sciences
Funding
Funding
Funding agency:
- Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (FORMAS)
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Award number:
2020-00714
Award title:
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
Topic and keywords
Standard för svensk indelning av forskningsämnen 2025:
INSPIRE topic categories:
Relations
Relations
Homepage:
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Related research data:
Metadata
Metadata
Version 1
