Southwest Alaska Network Ground Based Vegetation Monitoring 2007-2024 Survey Tabular Datasets
SWAN_Vegetation_Database.zip contains 24 .csv's comprising the main components of the SWAN Vegetation Monitoring Database. SWAN_Vegetation_Database_Fields.zip contains another 24 .csv's describing the columns present on the main components of the SWAN Vegetation Monitoring Database along with another 10 .csv's describing categorical type data, where present.
8/5/2025 update: Includes a minor fix on taxon code around "FEBR2" (which was resolving to a date reference on Veg_Taxon and ~20 instances where "FEBR2" was encountered in field. Includes change of name "TreeSeedling" table (and related metadata) to "TreeSapling". Includes inclusion of 10 new categorical type metadata tables along with a few minor related changes to attribute tables (changing a few columns auto-identified as a "categorical" type to "character" type). Includes "one-line" descriptions of each of the 24 data tables present in Table and Relationships section of reference publish.
Includes minor changes to "Plot" table (addition of two columns, Qualifier_Code and GRTS_Number) along with related changes to corresponding "Plot" attribute metadata and categorical metadata tables to describe added columns. Qualifier_Code and GRTS_Number are part of the concatenation that forms the "Plot" column referenced on most of the other data columns.
Of note, catvars_SWAN_Veg_Plot.txt includes descriptions of the Qualifier_Code column, for which the "S" on "Plot" is derived from, when present. Depending on the park where the plot is present and the Elevation_Band_Code the plot is connected to, this "S" can either refer to "Spruce" (identified as a spruce forest sample, at either Elevation_Band_Code 1 or 2) or "South" (south of Turquoise Lake at LACL at Elevation_Band_Code 3). For more information, please refer to catvars_SWAN_Veg_Plot.txt contained in this reference or reference: "Protocol for Ground-based Monitoring of Vegetation in the Southwest Alaska Network" (https://irma.nps.gov/DataStore/Reference/Profile/2097701).
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"010:24"
]
|
| contactPoint |
{
"fn": "NPS IRMA Help",
"@type": "vcard:Contact",
"hasEmail": "mailto:NRSS_DataStore@nps.gov"
}
|
| description | SWAN_Vegetation_Database.zip contains 24 .csv's comprising the main components of the SWAN Vegetation Monitoring Database. SWAN_Vegetation_Database_Fields.zip contains another 24 .csv's describing the columns present on the main components of the SWAN Vegetation Monitoring Database along with another 10 .csv's describing categorical type data, where present. 8/5/2025 update: Includes a minor fix on taxon code around "FEBR2" (which was resolving to a date reference on Veg_Taxon and ~20 instances where "FEBR2" was encountered in field. Includes change of name "TreeSeedling" table (and related metadata) to "TreeSapling". Includes inclusion of 10 new categorical type metadata tables along with a few minor related changes to attribute tables (changing a few columns auto-identified as a "categorical" type to "character" type). Includes "one-line" descriptions of each of the 24 data tables present in Table and Relationships section of reference publish. Includes minor changes to "Plot" table (addition of two columns, Qualifier_Code and GRTS_Number) along with related changes to corresponding "Plot" attribute metadata and categorical metadata tables to describe added columns. Qualifier_Code and GRTS_Number are part of the concatenation that forms the "Plot" column referenced on most of the other data columns. Of note, catvars_SWAN_Veg_Plot.txt includes descriptions of the Qualifier_Code column, for which the "S" on "Plot" is derived from, when present. Depending on the park where the plot is present and the Elevation_Band_Code the plot is connected to, this "S" can either refer to "Spruce" (identified as a spruce forest sample, at either Elevation_Band_Code 1 or 2) or "South" (south of Turquoise Lake at LACL at Elevation_Band_Code 3). For more information, please refer to catvars_SWAN_Veg_Plot.txt contained in this reference or reference: "Protocol for Ground-based Monitoring of Vegetation in the Southwest Alaska Network" (https://irma.nps.gov/DataStore/Reference/Profile/2097701). |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "SWAN_Vegetation_Database.zip",
"format": "ZIP",
"mediaType": "application/zip",
"description": "Contains 24 .csv's which comprise the main data components of the SWAN vegetation dataset.",
"downloadURL": "https://irma.nps.gov/DataStore/DownloadFile/744150?Reference=2315057"
},
{
"@type": "dcat:Distribution",
"title": "SWAN_Vegetation_Database_Fields.zip",
"format": "ZIP",
"mediaType": "application/zip",
"description": "Contains 34 metadata .csv's to accompany the main data components of the SWAN Vegetation dataset. 24 (attribute specific) .csv's describe each column present, 10 (categorical specific) .csv's further describe columns where categorical type metadata are defined further.",
"downloadURL": "https://irma.nps.gov/DataStore/DownloadFile/744151?Reference=2315057"
}
]
|
| identifier | http://datainventory.doi.gov/id/dataset/NPS_DataStore_2315057 |
| issued | 2025-08-05T00:00:00Z |
| keyword |
[
"Ecological Framework: Biological Integrity | Focal Species or Communities | Forest/Woodland Communities",
"Ecological Framework: Biological Integrity | Focal Species or Communities | Vegetation Complex",
"Monitoring",
"Protocol",
"Structure",
"Temperature",
"Vegetation",
"Vegetation Composition",
"Vegetation cover",
"Vegetation diversity",
"ground based",
"sensitive plant communities",
"weather monitoring"
]
|
| landingPage | https://irma.nps.gov/DataStore/Reference/Profile/2315057 |
| modified | 2025-08-05T00:00:00Z |
| programCode |
[
"010:118",
"010:119"
]
|
| publisher |
{
"name": "National Park Service",
"@type": "org:Organization"
}
|
| spatial | -156.5285,57.87332,-149.516479,61.46526 |
| temporal | 2007-01-01/2024-01-01 |
| theme |
[
"Tabular Dataset"
]
|
| title | Southwest Alaska Network Ground Based Vegetation Monitoring 2007-2024 Survey Tabular Datasets |
