Clusters of monthly streamflow values with similar temporal patterns at 555 HCDN (Hydro-Climatic Data Network) sites for the period 1981 to 2019
This data release identifies 555 Hydro-Climatic Data Network (HCDN) streamgages in the conterminous United States during the period 1981-2019 which were grouped according to similarity in their temporal patterns of mean monthly streamflow.
Find Related Datasets
Search by Tags
Click any tag below to search for similar datasets
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"010:12"
]
|
| contactPoint |
{
"fn": "Gregory J McCabe",
"@type": "vcard:Contact",
"hasEmail": "mailto:gmccabe@usgs.gov"
}
|
| description | This data release identifies 555 Hydro-Climatic Data Network (HCDN) streamgages in the conterminous United States during the period 1981-2019 which were grouped according to similarity in their temporal patterns of mean monthly streamflow. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Digital Data",
"format": "XML",
"accessURL": "https://doi.org/10.5066/P9ETG2RP",
"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.6192bdc6d34eb622f68e2def.xml"
}
]
|
| identifier | http://datainventory.doi.gov/id/dataset/USGS_6192bdc6d34eb622f68e2def |
| keyword |
[
"GAGES-II",
"Hydro-Climatic Data Network",
"USGS:6192bdc6d34eb622f68e2def",
"cluster analysis",
"inland waters",
"streamflow",
"streamflow patterns",
"streamgages"
]
|
| modified | 2022-01-05T00:00:00Z |
| publisher |
{
"name": "U.S. Geological Survey",
"@type": "org:Organization"
}
|
| spatial | -125.0000, 24.0000, -66.0000, 51.0000 |
| theme |
[
"geospatial"
]
|
| title | Clusters of monthly streamflow values with similar temporal patterns at 555 HCDN (Hydro-Climatic Data Network) sites for the period 1981 to 2019 |