Filters: Tags: {"type":"Water, Coasts and Ice"} (X) > partyWithName: U.S. Geological Survey (X) > Extensions: Shapefile (X) > partyWithName: U.S. Geological Survey - ScienceBase (X)

Filters Date Range Past year (0) Past month (0) Past week (0) Past day (0) Custom range... To   Search Types Downloadable (1) Map Service (1) OGC WFS Layer (1) OGC WMS Layer (1) Shapefile (1) Contacts Jordan S. Read Alison P. Appling Anuj Karpatne Gretchen J.A. Hansen Jacob A. Zwart Jared Willard Michael Steinbach Categories Data (1) Tag Schemes https://www.sciencebase.gov/vocab/category/NCCWSC/WaterCoastsandIce (1) Tags (with Type=Water, Coasts and Ice ) rivers, streams and lakes (1) View Results as: JSON ATOM CSV

Process-guided deep learning water temperature predictions: 1 Spatial data (GIS polygons for 68 lakes) This dataset provides shapefile of outlines of the 68 lakes where temperature was modeled as part of this study. The format is a shapefile for all lakes combined (.shp, .shx, .dbf, and .prj files). This dataset is part of a larger data release of lake temperature model inputs and outputs for 68 lakes in the U.S. states of Minnesota and Wisconsin (http://dx.doi.org/10.5066/P9AQPIVD). Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 007, 012, Fish, MN, Minnesota, All tags... Northeast CASC, Rivers, Streams and Lakes, US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, climate change, deep learning, environment, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, Fewer tags