This readme.txt file was updated by Joseph Servadio on 2022-08-17 ------------------------------------ GENERAL INFORMATION ------------------------------------ 1. Title of dataset: Supporting data for "Anthropogenic factors associated with contaminants of emerging concern detected in inland Minnesota lakes (Phase II)" 2. Author information: Corresponding author information Name: Tiffany M Wolf Institution: University of Minnesota College of Veterinary Medicine Address: 1988 Fitch Ave. St. Paul, MN, 55108, USA Email: wolfx305@umn.edu Co-senior author information Name: Seth Moore Institution: Grand Portage Band of Lake Superior Chippewa Address: 27 Store Rd. Grand Portage, MN, 55605, USA Email: samoore@boreal.org 3. Date of data collection: 2016-2017 4. Geographic location of data collected: Minnesota, United States 5. Information about funding source that generated this dataset: This study was funded by University of Minnesota (UMN) College of Veterinary Medicine's Population Systems Signature Program, UMN Agriculture Experiment Station Research Funds (MIN-62-061), UMN MnDRIVE Global Food Ventures, UMN Informatics Institute MnDRIVE, the Environmental Protection Agency's Great Lakes Restoration Initiative, and the Environment and Natural Resources Trust Fund as recommended by the Legislative-Citizen Commission on Minnesota Resources (M.L. 2017, Chp. 96, Sec.2, Subd. 04g). ------------------------------------------------ SHARING/ACCESS INFORMATION ------------------------------------------------ 1. Licenses/restrictions placed on data: Data pertaining to contaminants are available only through permission from the Grand Portage Band of Lake Superior Chippewa. Other data sources do not have access restrictions. This dataset here is associated with a CC0 1.0 Universal license. 2. Link to publication that uses data: Servadio, J.L., Deere, J.R., Jankowski, M.D., Ferrey, M., Isaac, E.J., Cheneaux-Ibrahim, Y., Primus, A., Convertino, M., Phelps, N.B.D., Streets, S., Travis, D.A., Moore, S., Wolf, T.M.. Anthropogenic factors associated with contaminants of emerging concern detected in inland Minnesota lakes (Phase II). Sci Tot Env. 2021;774:146188. doi: 10.1016/j.scitotenv.2021.146188. 3. Sources of other publicly available data sets: Multi-Resolution Land Characteristics (MRLC) Consortium, 2016. National Land Cover Da- tabase (NLCD) 2016. [WWW document]. URL. https://www.mrlc.gov/national-land- cover-database-nlcd-2016 (accessed 11.24.20). Manson, S., Schroeder, J., Van Riper, D., Ruggles, S., 2018. National Historical Geographic Information System: Version 13.0. IPUMS 10.18128/D050.V13.0. Microsoft, 2020. Building footprints - bing maps. [WWW Document]. URL. https://www. microsoft.com/en- us/maps/building-footprints (accessed 10.29.20). Environmental Systems Research Institute, 2018. ArcGIS business analyst. [WWW document]. URL. https://www.esri.com/en-us/arcgis/products/arcgis-business-analyst/ overview (accessed 10.2.20). Minnesota Pollution Control Agency, 2019. Wastewater facilities in Minnesota. [WWW document]. URL. https://gisdata.mn.gov/dataset/util-wastewater-facilities (accessed 8.11.20). Rampi, L.P., Knight, J., Bauer, M., 2016. Minnesota Land Cover Classification and Impervious Surface Area by Landsat and Lidar: 2013 Update. [WWW document]. https://doi.org/10.13020/D6JP4S.? 4. Was data derived from other sources?: Yes. The main text specifies sources of all data sources. The sources of the datsets from which the present data were collected are referenced previously 5. Recommended citation for this dataset: Servadio, Joseph L; Deere, Jessica R; Jankowski, Mark D; Ferrey, Mark; Isaac, EJ; Cheneaux-Ibrahim, Yvette; Primus, Alexander; Convertino, Matteo; Phelps, Nicholas BD; Streets, Summer; Travis, Dominic A; Moore, Seth; Wolf, Tiffany M. (2022). Supporting data for “Anthropogenic factors associated with contaminants of emerging concern detected in inland Minnesota lakes (Phase II)”. Retrieved from the Data Repository for the University of Minnesota, https://doi.org/10.13020/SXDW-5650. 6. Terms of Use: Data Repository for the U of Minnesota (DRUM) By using these files, users agree to the Terms of Use. https://conservancy.umn.edu/pages/drum/policies/#terms-of-use --------------------------------------- DATA AND FILE OVERVIEW --------------------------------------- Purpose statement: These data describe physical characteristics and anthropogenic impacts immediately surrounding lakes in inland Minnesota. These data were collected for the purpose of associating with detection of contaminants of emerging concern within these lakes. Contaminant data collection was described in Deere et al., 2020 (Sci Total Environ) and is available by request. File contents: Data_Servadio2021STOTEN.xlsx contains data including physical characteristics and anthropogenic impacts in Minnesota lakes. Reference: Deere, J.R., Moore, S., Ferrey, M., Jankowski, M.D., Primus, A., Convertino,M., Servadio, J.L., Phelps, N.B.D., Hamilton, M.C., Chenaux-Ibrahim, Y., Travis, D.A., Wolf, T.M., 2020. Occurrence of contaminants of emerging concern in aquatic ecosystems utilized by Minnesota tribal communities. Sci. Total Environ. 724, 138057. https://doi.org/10.1016/j.scitotenv.2020.138057. -------------------------- METHODOLOGICAL INFORMATION -------------------------- 1. Description of methods used for collection/generation of data: Data were collected through publicly available sources listed previously. 2. Methods for processing the data: The locations of businesses, healthcare facilities, and wastewater treatment facilities as well as impervious surface and wetlands were matched to water catchment areas through a spatial join in ArcGIS Pro so that the numbers of buildings, businesses, etc. as well as the amount of impervious surface and wetlands could be described for each catchment area. 3. People involved with sample collection, processing, analysis and/or submission: These data were collected by Joseph Servadio, Jessica Deere, and staff at USpatial at the University of Minnesota. Matching the data sets to catchment areas and subsequent analyses for the manuscript were performed by Joseph Servadio. ----------------------------------------- DATA-SPECIFIC INFORMATION ----------------------------------------- 1. Number of variables: 16 2. Number of cases/rows: 23 3. Missing data codes: None 4. Variable List A. Name: Location Description: Name of the lake B. Name: Year Description: Year of observation C. Name: CatchmentArea_sqm Description: Area of the lake's catchment region used for analysis in square meters D. Name: Est_Pop_Catchment Description: Estimated population living within each lake's catchment region, based on the 2010 US Census E. Name: Num_Crops_Catchment Description: Number of farms growing crops within each lake's catchment region F. Name: Num_Mining_Catchment Description: Number of mines within each lake's catchment region G. Name: Num_Amb_HC_Catchment Description: Number of ambulatory healthcare centers within each lake's catchment region H. Name: Num_Hospital_Catchment Description: Number of hospitals within each lake's catchment region I. Name: Num_NH_Res_Catchment Description: Number of residential nursing homes within each lake's catchment region J. Name: Total_Imp_sqm_Catchment Description: Total amount of impervious surface, in square meters, within each lake's catchment region K. Name: N_wastewater_Catchment Description: Number of wastewater facilities within each lake's catchment region L. Name: Wastewater_Mine_Catchment Description: Number of wastewater facilities associated with mining within each lake's catchment region M. Name: Wastewater_Wholesale_Catchment Description: Number of wastewater facilities associated with retail within each lake's catchment region N. Name: Wastewater_Services_Catchment Description: Number of wastewater facilities associated with services within each lake's catchment region O. Name: Footprints_Catchment Description: Number of building footprints located within each lake's catchment region P. Name: Percent_wetlands_catchment Description: Percentage of each lake's catchment region that is covered in wetlands