Morena N. Hammer Stephen B. DeLong Zachary T. Engle Emilie Richard Karen B. Gran Laura Triplett Carrie Jennings Andrew J. Breckenridge Stephanie Day Philip H. Larson Jeni A. McDermott Julie K. Bartley Dylan Blumentritt Melissa A. Kohout 20250409 1 raster digital data ScienceBase USGS https://doi.org/10.5066/P14XOJSM Laura Triplett Morena N. Hammer Stephen B. DeLong Karen B. Gran Carrie Jennings Zachary T. Engle Julie K. Bartley Dylan Blumentritt Andrew J. Breckenridge Stephanie Day Melissa A. Kohout Philip H. Larson Jeni A. McDermott Emilie Richard 20250322 publication Natural Hazards Springer Nature https://doi.org/10.1007/s11069-025-07262-8 Landslide susceptibility modeling results as raster data offering a broad assessment of landslide hazards across five regions of Minnesota, USA. Data was created as part of an investigation to understand the link between a previously mapped landslide inventory, various environmental variables, and post-glacial landscape development through multivariate logistic regression analyses. The intended use of this data is to provide landslide susceptibility results and maps for five landslide-prone regions across the state of Minnesota to aid in future zoning, guide development, and promote public awareness of geohazards. Raster dataset is also accompanied by a vector shapefile format and geoPDF version for accessibility. 20211222 ground condition Complete As needed -97.4707 -89.2090 49.6676 43.3252 ISO 19115 Topic Category biota None landslide susceptibility geohazard Minnesota post-glacial fluvial network development glacial lakes landslide susceptibility mass wasting USGS Thesaurus landslide landslide susceptibility multivariate logistic regression Minnesota geohazard mass wasting post-glacial fluvial network development landslides slope processes USGS Metadata Identifier USGS:67ae604ed34e3f09c0e0f3ea Common geographic areas Minnesota None. Please see 'Distribution Info' for details. None. Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations. Stephen DeLong Supervisory Research Geologst mailing and physical

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St. Paul MN 55108 650-690-0132 sdelong@usgs.gov Thanks to A.D. Wickert, W.M. DeLong, M. Allison, A. Dahlseid, D.T. Dahly, B.A. Dean, M. Endres, E. Fischer, K. Krippner, E. Kurak, S. Link, B. Matti, R.W. Rehwinkel, A. Senjem, B. Sockness, J. VanBerkel, J.G. Willard and A.B. Williams for contributions to data collection and management. Funding for this project was provided by the Minnesota Environment and Natural Resources Trust Fund as recommended by the Legislative-Citizen Commission on Minnesota Resources (LCCMR). Additional funding was provided by: The U.S. Geological Survey Landslide Hazards Program, the Mary T. Dooley and James Goff endowments at the Minnesota State University, Mankato, and the Environmental Studies Program at Gustavus Adolphus College. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. File Name: mn_landslide_susceptibility_geotiff_tiles.zip File zipped size: ~1.8 GB Software: R (Ver. 2022.12.0.353) and ArcGIS Pro 3.0.1 OS: Windows 10 Stephen DeLong et al. 20211222 vector digital data ScienceBase USGS https://www.sciencebase.gov/catalog/item/61439ca0d34e0df5fb951655 Accuracy of modeling results was evaluated using confusion matrices from resultant true negative, true positive, false negative, and false positive values. All modeling results were >90% accuracy. See associated publication for more information: Triplett, L.D., Hammer, M.N., DeLong, S.B., Gran, K.B., Jennings, C.E., Engle, Z.E., Bartley, J.K., Blumentritt, D.J., Breckenridge, A.J., Day, S., Kohout, M.A., Larson, P.H., McDermott, J.A., and Richard, E.M., (2025). Factors influencing landslide occurrence in low-relief formerly glaciated landscapes: landslide inventory and susceptibility analysis in Minnesota, USA. Nat Hazards. DOI: https://doi.org/10.1007/s11069-025-07262-8 Data was evaluated to fall within expected ranges and checked for omissions or duplication. Dataset only represents landslide susceptibility locations within five regions of Minnesota, USA. This version of the data does not cover the entire state of Minnesota. The analysis used to create this dataset did not contain temporal climate/precipitation values or data. Preceeding mapped landslide inventory dataset was used to create stable and unstable landslide points for model training/testing and were assigned various environmental (independent predictor) variable values. Environmental variables include: distance to streams-lakes, depth to bedrock, lithology of the surface, and slope. Data was used in multivariate logistic regression analyses for each of the five individual mapping regions. Coefficients from the best-fitting model was used to weight the independent predictor variable data and calculate the probability of landslide occurrence at every square meter in the study areas. Probabilities were classified as low (<50%), moderate (50-60%), higher (60-80%), and highest (80-100%) according to natural breaks in the dataset using Jenks natural break classification. For more detailed information regarding processing steps see the following publication: Triplett, L.D., Hammer, M.N., DeLong, S.B., Gran, K.B., Jennings, C.E., Engle, Z.E., Bartley, J.K., Blumentritt, D.J., Breckenridge, A.J., Day, S., Kohout, M.A., Larson, P.H., McDermott, J.A., and Richard, E.M., (2025). Factors influencing landslide occurrence in low-relief formerly glaciated landscapes: landslide inventory and susceptibility analysis in Minnesota, USA. Nat Hazards. DOI: https://doi.org/10.1007/s11069-025-07262-8 20230821 Raster Grid Cell 319263 122450 Universal Transverse Mercator 15 0.9996 -93 0 500000.0 0 row and column 1 1 meters North American Datum of 1983 (NAD 83) 2011 Geodetic Reference System 1980 6378137.000000 298.257222 *_Region_susceptibility_tile.tif Raster geospatial data file. Producer Defined Value Unique numeric values contained in each raster cell. Producer Defined 0.0 1 *_Region_tile_index.shp Table containing attribute information associated with the data set. Producer Defined FID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Shape type. PageName geoTIFF prefix tile name Producer Defined Field records the geoTIFF prefix tile name. Dataset includes landslide susceptibility geoTIFF tiles for each of the five individual mapping regions: Lake Superior, Metro, Red River, Minnesota River, and Southeast. GeoTIFF tiles range in value from 0 - 1 probability of landslide occurrence. Associated with the geoTIFF tiles for each region is a tile index shapefile named '*_Region_tile_index.shp'. This shapefile denotes the location of the geoTIFF tiles. Use the attribute column named 'PageName' to identify the location of tiles using the name prefix (A1, E2, etc...). Hammer, M.N., DeLong, S.B., Engle, Z. T., Richard, E.M., Gran, K.B., Triplett, L.D., Jennings, C.E., Bartley, J.K., Blumentritt, D.J., Breckenridge, A.J., Day, S., Kohout, M.A., Larson, P.H., and McDermott, J.A, 2025. Landslide susceptibility modeling results and maps covering the northwestern, northeastern, southern, and southeastern parts of Minnesota, USA. U.S. Geological Survey data release. https://doi.org/10.5066/P14XOJSM U.S. Geological Survey - ScienceBase mailing address

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Denver CO 80225 United States 1-888-275-8747 sciencebase@usgs.gov Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. Digital Data https://doi.org/10.5066/P14XOJSM None 20250409 Morena Hammer mailing and physical

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St. Paul MN 55108 NA mhammer@usgs.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998