Greenhouse gas concentrations and water-quality parameters from experimental ponds in North Dakota, USA, 2019
This data release describes data that were contributed to the GasHype project, a global data compilation effort. Goals of the GasHype project include assessing concentrations of carbon dioxide and methane in the hypolimnion of lakes, reservoirs, and ponds, and identifying important drivers of these concentrations. Data contributed by the U.S. Geological Survey, Northern Prairie Wildlife Research Center include concentrations of dissolved greenhouse gases along with various water quality parameters from experimental ponds located near Jamestown, North Dakota, USA. Samples and data were collected from four ponds during the period of May through September, 2019.
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"010:12"
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|
| contactPoint |
{
"fn": "Sheel Bansal",
"@type": "vcard:Contact",
"hasEmail": "mailto:sbansal@usgs.gov"
}
|
| description | This data release describes data that were contributed to the GasHype project, a global data compilation effort. Goals of the GasHype project include assessing concentrations of carbon dioxide and methane in the hypolimnion of lakes, reservoirs, and ponds, and identifying important drivers of these concentrations. Data contributed by the U.S. Geological Survey, Northern Prairie Wildlife Research Center include concentrations of dissolved greenhouse gases along with various water quality parameters from experimental ponds located near Jamestown, North Dakota, USA. Samples and data were collected from four ponds during the period of May through September, 2019. |
| distribution |
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| identifier | http://datainventory.doi.gov/id/dataset/USGS_67a124e3d34e5b4a4f9e4e18 |
| keyword |
[
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"greenhouse gases",
"inlandWaters",
"limnology",
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]
|
| modified | 2025-02-11T00:00:00Z |
| publisher |
{
"name": "U.S. Geological Survey",
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|
| spatial | -98.64246, 46.87099, -98.61706, 46.88102 |
| theme |
[
"Geospatial"
]
|
| title | Greenhouse gas concentrations and water-quality parameters from experimental ponds in North Dakota, USA, 2019 |
