Streams Ecological Integrity (SEI) Periphyton Data for the Rocky Mountain Network (ROMN): 2010-2022 – Data Package
Resources
5 resources available
-
ROMN_SEI_Didymosphenia_geminata_Data_2010-2022.csv
CSV -
ROMN_SEI_Periphyton_2010-2022_metadata.xml
XML -
ROMN_SEI_Algae_Data_2010-2022.csv
CSV -
ROMN_SEI_Diatom_Data_2010-2022.csv
CSV -
ROMN_SEI_SiteEvent_Periphyton_2010-2022.csv
CSV
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"010:24"
]
|
| contactPoint |
{
"fn": "NPS IRMA Help",
"@type": "vcard:Contact",
"hasEmail": "mailto:NRSS_DataStore@nps.gov"
}
|
| description | Streams Ecological Integrity periphyton data package at Glacier National Park, Grant-Kohrs Ranch Historical Site, Little Bighorn Battlefield National Monument and Rocky Mountain National Park 2010-2022. The periphyton data package contains four datasets: 1) all algal samples from the study, with their taxonomic and ecological attribute information, 2) diatom samples from the study, with their taxonomic and ecological attribute information, 3) all Didymosphenia geminata samples from the study, 4) the site and event data for all sampling events in this study. Periphyton data is collected for long term monitoring at streams monitoring sites. Periphyton data is one monitoring component within the Streams Ecological Integrity monitoring protocol. The general objectives of SEI monitoring are to document the status and long-term trends in ecological condition of streams and rivers in a park, and to use this information to help understand why stream conditions may have changed. Resource managers may, in turn, use information from SEI monitoring to make resource management decisions within their parks. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "ROMN_SEI_Didymosphenia_geminata_Data_2010-2022.csv",
"format": "csv",
"mediaType": "text/csv",
"description": "Didymosphenia geminata data",
"downloadURL": "https://irma.nps.gov/DataStore/DownloadFile/754957?Reference=2313284"
},
{
"@type": "dcat:Distribution",
"title": "ROMN_SEI_Periphyton_2010-2022_metadata.xml",
"format": "xml",
"mediaType": "application/xml",
"description": "EML Metadata",
"downloadURL": "https://irma.nps.gov/DataStore/DownloadFile/754959?Reference=2313284"
},
{
"@type": "dcat:Distribution",
"title": "ROMN_SEI_Algae_Data_2010-2022.csv",
"format": "csv",
"mediaType": "text/csv",
"description": "Ecological attributes and taxonomic information for algae",
"downloadURL": "https://irma.nps.gov/DataStore/DownloadFile/754955?Reference=2313284"
},
{
"@type": "dcat:Distribution",
"title": "ROMN_SEI_Diatom_Data_2010-2022.csv",
"format": "csv",
"mediaType": "text/csv",
"description": "Ecological attributes and taxonomic information for diatoms",
"downloadURL": "https://irma.nps.gov/DataStore/DownloadFile/754956?Reference=2313284"
},
{
"@type": "dcat:Distribution",
"title": "ROMN_SEI_SiteEvent_Periphyton_2010-2022.csv",
"format": "csv",
"mediaType": "text/csv",
"description": "Summary of site event information for all work done in this protocol",
"downloadURL": "https://irma.nps.gov/DataStore/DownloadFile/754958?Reference=2313284"
}
]
|
| identifier | http://datainventory.doi.gov/id/dataset/NPS_DataStore_2313284 |
| issued | 2026-02-03T00:00:00Z |
| keyword |
[
"Benthos",
"Didymosphenia geminata",
"Ecological Framework: Biological Integrity | Focal Species or Communities | Riparian Communities",
"Ecological Framework: Water | Water Quality | Aquatic Macroinvertebrates and Algae",
"ROMN",
"Rocky Mountain Network",
"algae",
"bioassessment",
"diatoms",
"monitoring",
"periphyton",
"stream ecology",
"streams",
"water quality"
]
|
| landingPage | https://irma.nps.gov/DataStore/Reference/Profile/2313284 |
| modified | 2026-02-03T00:00:00Z |
| programCode |
[
"010:118",
"010:119"
]
|
| publisher |
{
"name": "National Park Service",
"@type": "org:Organization"
}
|
| spatial | -114.4749,40.1581,-105.4936,49.0011 |
| temporal | 2010-08-09/2022-08-30 |
| theme |
[
"Data Package"
]
|
| title | Streams Ecological Integrity (SEI) Periphyton Data for the Rocky Mountain Network (ROMN): 2010-2022 – Data Package |