Data Descriptor: A European Multi Lake Survey dataset of environmental variables, phytoplankton pigments and cyanotoxins
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985939%3A_____%2F18%3A00495445" target="_blank" >RIV/67985939:_____/18:00495445 - isvavai.cz</a>
Alternative codes found
RIV/00216224:14310/18:00106551
Result on the web
<a href="http://dx.doi.org/10.1038/sdata.2018.226" target="_blank" >http://dx.doi.org/10.1038/sdata.2018.226</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/sdata.2018.226" target="_blank" >10.1038/sdata.2018.226</a>
Alternative languages
Result language
angličtina
Original language name
Data Descriptor: A European Multi Lake Survey dataset of environmental variables, phytoplankton pigments and cyanotoxins
Original language description
Under ongoing climate change and increasing anthropogenic activity, which continuously challenge ecosystem resilience, an in-depth understanding of ecological processes is urgently needed. Lakes, as providers of numerous ecosystem services, face multiple stressors that threaten their functioning. Harmful cyanobacterial blooms are a persistent problem resulting from nutrient pollution and climate-change induced stressors, like poor transparency, increased water temperature and enhanced stratification. Consistency in data collection and analysis methods is necessary to achieve fully comparable datasets and for statistical validity, avoiding issues linked to disparate data sources. The European Multi Lake Survey (EMLS) in summer 2015 was an initiative among scientists from 27 countries to collect and analyse lake physical, chemical and biological variables in a fully standardized manner. This database includes in-situ lake variables along with nutrient pigment and cyanotoxin data of 369 lakes in Europe, which were centrally analysed in dedicated laboratories. Publishing the EMLS methods and dataset might inspire similar initiatives to study across large geographic areas that will contribute to better understanding lake responses in a changing environment.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10617 - Marine biology, freshwater biology, limnology
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Scientific Data
ISSN
2052-4463
e-ISSN
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Volume of the periodical
5
Issue of the periodical within the volume
OCT 23
Country of publishing house
GB - UNITED KINGDOM
Number of pages
13
Pages from-to
1-13
UT code for WoS article
000448057000002
EID of the result in the Scopus database
2-s2.0-85055198053