The primary raw data are aerial counts of beaver (Castor canadensis) colonies on streams across the Chequamegon-Nicolet National Forest (CNNF). These aerial counts were performed in the fall of each year from 1987 (Nicolet side of CNNF) or 1997 (Chequamegon side of CNNF). Based on the colony counts, we also provide derived beaver colony density values. The surveyed streams were classified into four categories: managed trout, non-managed trout, managed non-trout, and non-managed non-trout. Trout versus non-trout status was assigned by the CNNF using Wisconsin Department of Natural Resources information. Managed streams were those on which targeted removal of beavers was conducted in the spring of each year under a contract with USDA-Wildlife Services. Data also include proportion of stream-side aspen, temperature, snowfall, and soil moisture as measured by the Palmer Drought Severity Index.

The submission includes wave resource classification reports, summary of classification statistics and regional trends, and data files with classification statistics for selected sites for extreme significant wave height. Two conference papers were uploaded that include classification metrics and geographic distributions for US coastal waters. These conference papers are: Neary, V.S., Coe, R.G., Cruz, J., Haas, K., Bacelli, G., Debruyne, Y., Ahn, S., Nevarez, V. (2017) Classification systems for wave energy resources and WEC technologies. Proceedings of 12th European Wave and Tidal Energy Conference Series (EWTEC 2017), Cork, Ireland, August 27-September 1, 2017 Haas, K., Ahn, S., Neary, V.S., and S. Bredin (2017) Development of a wave energy classification system. Proceedings of the 5th Marine Energy Technology Symposium (METS2017), Washington, D.C., May 1-3, 2017

Find key information on trends in library systems around the United States from FY 1992 to FY 2012.These data include imputed values for libraries that did not submit information in the annual data collections. Imputation is a procedure for estimating a value for a specific data item where the response is missing.Download PLS data files to see imputation flag variables or learn more on the imputation methods used in each fiscal year at https://www.imls.gov/research-evaluation/data-collection/public-libraries-survey/explore-pls-data/pls-data

Find key information on trends in main libraries, branches, and bookmobiles, including FSCS IDs and location.These data include imputed values for libraries that did not submit information in the annual data collections. Imputation is a procedure for estimating a value for a specific data item where the response is missing.Download PLS data files to see imputation flag variables or learn more on the imputation methods used in each fiscal year at https://www.imls.gov/research-evaluation/data-collection/public-libraries-survey/explore-pls-data/pls-data