• Address:
  705 Spear Street
  South Burlington, Vermont 05403
  United States of America
  
  Phone: (802) 391-4135
  Email: femc@uvm.edu
  Website: www.uvm.edu/femc

The Global Evaluation of the Impacts of Storms on freshwater Habitat and Structure of phytoplankton Assemblages (GEISHA) project is using long-term monitoring datasets and high-frequency data available through international networks to address questions about the impacts of storms on phytoplankton community in over 40 lakes across the globe. GEISHA has been developed within the context of the Global Lake Ecological Observatory Network (GLEON) initiative called “Storm-blitz”. “Storm-blitz” assembles an international group of investigators interested in contributing to theoretical discussions and sharing data to answer questions about the impacts of extreme events on phytoplankton communities. Although climate change is expected to cause more intense and frequent extreme weather events, we only have a basic understanding of how these events might alter freshwater phytoplankton communities. The storm-blitz group was created in 2016 and gathers 17 researchers with diverse skillsets and experiences to focus on data compilation and analysis (https://www.geisha-stormblitz.fr/).

• dataset_eml_attributelistlabel: lake

• dataset_eml_attributelistdescription: Lake name

• dataset_eml_attributeliststoragetype: text

• dataset_eml_attributelistmeasurementtype: nominal

• dataset_eml_attributelistlabel: stationid

• dataset_eml_attributelistdescription: Unique ID for location of sampling; could be more than one per lake

• dataset_eml_attributeliststoragetype: text

• dataset_eml_attributelistmeasurementtype: nominal

• dataset_eml_attributelistlabel: date_dd_mm_yyyy

• dataset_eml_attributelistdescription: date

• dataset_eml_attributeliststoragetype: date

• dataset_eml_attributelistmeasurementtype: datetime
• dataset_eml_attributelistformatstring: DD-MM-YYYY

• dataset_eml_attributelistlabel: depth_m

• dataset_eml_attributelistdescription: Depth of observation; when reporting for secchi_m, then depth_m = NaN. If sample is a water column composite, then depth_m = -999

• dataset_eml_attributeliststoragetype: decimal

• dataset_eml_attributelistmeasurementtype: ratio
• Unit: meter
• dataset_eml_attributelistnumbertype: real

• dataset_eml_attributelistlabel: variable

• dataset_eml_attributelistdescription: Controlled vocabulary variables measured: secchi depth in m; chlorophyll a in ug/l; total phosphorus in ug/l; orthophosphate in ug/l; total nitrogen in ug/l; nitrite in ug/l; nitrate in ug/l; ammonia in ug/l; silicate in ug/l; total suspended solids in mg/l; dissolved organic carbon in mg/l

• dataset_eml_attributeliststoragetype: text

• dataset_eml_attributelistmeasurementtype: nominal

• dataset_eml_attributelistlabel: value

• dataset_eml_attributelistdescription: value of variable. Units vary accordingly: micrograms per liter, milligrams per liter, or meters

• dataset_eml_attributeliststoragetype: decimal

• dataset_eml_attributelistmeasurementtype: ratio
• Unit: variable
• dataset_eml_attributelistnumbertype: real