Phytoplankton Identification and Enumeration Data Collected from Seven Reservoirs in the United States (July to November 2019)
This dataset contains algal identification and enumeration data for phytoplankton samples collected by the U.S. Geological Survey (USGS) between July 2019 and November 2019 at seven reservoirs across the United States. Reservoirs sampled included Lake Koshkonong, Wisconsin, Pelican Lake, Minnesota, Lake Ida, Minnesota, Pomme de Terre, Minnesota, Lake Emily, Minnesota, Milford Lake, Kansas, and Jordan Lake, North Carolina. The samples were analyzed at the Caribbean - Florida Water Science Center (CFWSC) Phycology Laboratory using morphology-based microscopy methods. This data is part of a larger multi-agency project between the U.S. Environmental Protection Agency, the National Aeronautics and Space Administration, the National Oceanic and Atmospheric Administration, and USGS called the Cyanobacteria Assessment Network (CyAN). The goal of the CyAN project is to develop a satellite-based, early warning system to detect harmful algal blooms (HABs) in freshwater systems.
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"010:12"
]
|
| contactPoint |
{
"fn": "Viviana Mazzei",
"@type": "vcard:Contact",
"hasEmail": "mailto:vmazzei@usgs.gov"
}
|
| description | This dataset contains algal identification and enumeration data for phytoplankton samples collected by the U.S. Geological Survey (USGS) between July 2019 and November 2019 at seven reservoirs across the United States. Reservoirs sampled included Lake Koshkonong, Wisconsin, Pelican Lake, Minnesota, Lake Ida, Minnesota, Pomme de Terre, Minnesota, Lake Emily, Minnesota, Milford Lake, Kansas, and Jordan Lake, North Carolina. The samples were analyzed at the Caribbean - Florida Water Science Center (CFWSC) Phycology Laboratory using morphology-based microscopy methods. This data is part of a larger multi-agency project between the U.S. Environmental Protection Agency, the National Aeronautics and Space Administration, the National Oceanic and Atmospheric Administration, and USGS called the Cyanobacteria Assessment Network (CyAN). The goal of the CyAN project is to develop a satellite-based, early warning system to detect harmful algal blooms (HABs) in freshwater systems. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Digital Data",
"format": "XML",
"accessURL": "https://doi.org/10.5066/P13DZFWC",
"mediaType": "application/http",
"description": "Landing page for access to the data"
},
{
"@type": "dcat:Distribution",
"title": "Original Metadata",
"format": "XML",
"mediaType": "text/xml",
"description": "The metadata original format",
"downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.669fb8eed34eef99d5abc57b.xml"
}
]
|
| identifier | http://datainventory.doi.gov/id/dataset/USGS_669fb8eed34eef99d5abc57b |
| keyword |
[
"Jordan Lake",
"Kansas",
"Lake Emily",
"Lake Ida",
"Lake Koshkonong",
"Milford Lake",
"Minnesota",
"North Carolina",
"Pelican Lake",
"Pomme De Terre Lake",
"USGS:669fb8eed34eef99d5abc57b",
"Wisconsin",
"biota",
"cyanobacteria ["blue-green algae"]",
"datasets",
"water quality"
]
|
| modified | 2024-07-24T00:00:00Z |
| publisher |
{
"name": "U.S. Geological Survey",
"@type": "org:Organization"
}
|
| spatial | -178.5938, 18.6462, -63.9844, 71.3500 |
| theme |
[
"Geospatial"
]
|
| title | Phytoplankton Identification and Enumeration Data Collected from Seven Reservoirs in the United States (July to November 2019) |
