Colin Talbert Brian Reichert 201810 vector digital data Fort Collins, CO USGS Fort Collins Science Center https://doi.org/10.5066/P9O75YDV Patricia Stevens Brian Reichert 20180724 project Fort Collins, CO USGS Fort Collins Science Center https://nabatmonitoring.org/#/home/welcome The NABat sampling frame is a grid-based finite-area frame spanning Canada, the United States, and Mexico consisting of 10-km by 10-km (100-km2) grid cell sample units for the continental United States, Canada, and Alaska and 5- by 5-km (25km2) for Hawaii and Puerto Rico. This grain size is biologically appropriate given the scale of movement of most bat species, which routinely travel many kilometers each night between roosts and foraging areas and along foraging routes. A Generalized Random-Tessellation Stratified (GRTS) Survey Design draw was added to the sample units from the raw sampling grids (https://doi.org/10.5066/P9M00P17). This dataset represents the final 2018 NABat Sampling grid with various landscape level attributes added (country, state/territory, county, percent water, and land ownership/management). Grid cells that fall outside the area of interest were removed from each individual sampling frame. The GRTS design provides solutions to several practical challenges faced by bat surveyors that are not provided by more familiar designs such as simple random, stratified, and systematic sampling. The GRTS design allows for sample site additions and deletions, supports unequal-probability selection of survey locations, and provides an approximately unbiased neighborhood-weighted variance estimator that takes advantage of the spatial structure present in the surveyed population. Attributions and extraneous cells were added to assist users of the frame. 2018 publication date Complete None planned -117.2888 -85.3431 33.4776 13.9654 Mexico ISO 19115 Topic Category biota location USGS Thesaurus ecosystem monitoring USGS Metadata Identifier USGS:5b7b5658e4b0f5d57884615f Common geographic areas Mexico None. Please see 'Distribution Info' for details. None. Users are advised to read the data set's metadata thoroughly to understand appropriate use and data limitations. Brian E Reichert U.S. Geological Survey, SOUTHWEST REGION Ecologist mailing address

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Fort Collins CO 80526 US 970-226-9245 970-226-9230 breichert@usgs.gov Susan C. Loeb Thomas J. Rodhouse Laura E. Ellison Cori L. Lausen Jonathan D. Reichard Kathryn M. Irvine Thomas E. Ingersoll Jeremy T. H. Coleman Wayne E. Thogmartin John R. Sauer Charles M. Francis Mylea L. Bayless Thomas R. Stanley Douglas H. Johnson 201506 publication https://www.srs.fs.usda.gov/pubs/gtr/gtr_srs208.pdf Patricia Stevens Brian Reichert Colin Talbert 201810 vector digital data Fort Collins, CO USGS Fort Collins Science Center https://doi.org/10.5066/P9O75YDV Patricia Stevens Brian Reichert Colin Talbert 201810 vector digital data Fort Collins, CO USGS Fort Collins Science Center https://doi.org/10.5066/P9M00P17 GRTS IDs were checked for consistent spatial distribution. Values were manually checked for minimum and maximum values within expected ranges. None Positional accuracy was manually checked in ArcMap NA Patricia Stevens Brian Reichert Colin Talbert 201807 vector digital data Fort Collins, CO USGS Fort Collins Science Center https://doi.org/10.5066/P9O75YDV Digital and/or Hardcopy 2018 publication date NABatGridFrame Geometries being attributed Comisión Nacional Forestal (CONAFOR) 2010 raster digital data http://www.cec.org/naatlas/ Digital and/or Hardcopy 2010 observed landcover Landcover data data.gov 1997 vector digital data https://catalog.data.gov/dataset/digital-map-of-the-state-political-boundaries-of-mexico Digital and/or Hardcopy 1997 publication date Mex_states State boundaries LC Map 2010 vector digital data https://www.sciencebase.gov/catalog/item/4fb68c04e4b03ad19d64b3dc Digital and/or Hardcopy 2010 publication date NA_TPA Protected areas A set of relevant geospatial data containing appropriate attributes were obtained (see source inputs list below). These were projected to match the coordinate reference system of the sampling frame using ArcMap 10.5. NABatGridFrame 2018 A Python notebook (available in the code folder of this data release) was used to extract and summarize attribute data from the final projected geospatial data. In summary data was extracted from each relevant data layer (water, states, land ownership, etc.) for each individual grid cell was and summarized by the portion of the grid cell it covered. See the entity and attribute section of this record for the individual layers and how they were summarized. 2018 Colin Talbert U.S. Geological Survey, Southwest Region IT SPEC (DATAMGT) mailing address

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Fort Collins CO 80526 United States 970-226-9425 970-226-9230 talbertc@usgs.gov Mex_mastersample_10km_attributed.shp Attribute Table 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 type. ESRI String description of feature geometry type. MEX_10KM The unique ID of this 10x10km grid cell Producer defined 129523 311557 lat The geographic WGS84 decimal degree latitude of the grid cell centroid. Producer defined 51.537379 71.467486 long The geographic WGS84 decimal degree longitude of the grid cell centroid. Producer defined -178.927551 -129.882971 GRTS_ID Generalized Random-Tessellation Stratified (GRTS) Survey Design draw. Producer defined 9 340422 water_p Percentage of grid cell classified as water in NLCD Producer defined 0.0 100.0 outside_p Percentage of grid cell classified as Nodata in NLCD or not touching a state in the continental United States. Producer defined 0.0 99.99910089730449 state_n_1 The name of the state with the largest area in the grid cell. Producer defined Free text state_p_1 The percentage of area in the grid cell of the state with the largest percentage area. Producer defined 0.005163200997208 100.0 state_n_2 The name of the state with the second largest area in the grid cell. Producer defined NA No Data Producer defined nan nan state_p_2 The percentage of area in the grid cell of the state with the second largest percentage area. Producer defined 0 0 state_n_3 The name of the state with the third largest area in the grid cell. Producer defined NA No Data Producer defined nan nan state_p_3 The percentage of area in the grid cell of the state with the largest percentage area. Producer defined 0 0 state_n_4 The name of the state with the Fourth largest area in the grid cell. Producer defined NA No Data Producer defined nan nan state_p_4 The percentage of area in the grid cell of the state with the largest percentage area. Producer defined 0 0 pa_p The percentage of the grid cell composed of protected areas Producer defined 0.0 100.0 U.S. Geological Survey GS 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 on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. Digital Data https://doi.org/10.5066/P9RRWXL6 None 20200820 Colin Talbert U.S. Geological Survey, Southwest Region IT SPEC (DATAMGT) mailing address

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Fort Collins CO 80526 United States 970-226-9425 970-226-9230 talbertc@usgs.gov FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata FGDC-STD-001.1-1999