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This dataset provides shapefile outlines of the 7,150 lakes that had temperature modeled as part of this study. The format is a shapefile for all lakes combined (.shp, .shx, .dbf, and .prj files). A csv file of lake metadata is also included. This dataset is part of a larger data release of lake temperature model inputs and outputs for 7,150 lakes in the U.S. states of Minnesota and Wisconsin (http://dx.doi.org/10.5066/P9CA6XP8).
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The data contained in this report was compiled, modified, and analyzed for the Wyoming Landscape Conservation Initiative (WLCI) Integrated Assessment (IA). The WLCI is a long-term science based effort to assess and enhance aquatic and terrestrial habitats at a landscape scale in southwest Wyoming while facilitating responsible energy development through local collaboration and partnerships. The IA is an integrated synthesis and analysis of WLCI resource values based on best available data and information collected from multiple agencies and organizations. It is a support tool for landscape-scale conservation planning and evaluation, and a data and analysis resource that can be used for addressing specific management...
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Daily lake surface temperatures estimates for 185,549 lakes across the contiguous United States from 1980 to 2020 generated using an entity-aware long short-term memory deep learning model. In-situ measurements used for model training and evaluation are from 12,227 lakes and are included as well as daily meteorological conditions and lake properties. Median per-lake estimated error found through cross validation on lakes with in-situ surface temperature observations was 1.24 °C. The generated dataset will be beneficial for a wide range of applications including estimations of thermal habitats and the impacts of climate change on inland lakes.
Categories: Data; Tags: AL, AR, AZ, Alabama, Aquatic Biology, All tags...
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This synthesized results data set is a normalized unit-less layer represent the varying levels of importance of land parcels associated with agriculture in the WLCI region. This raster represents a normalized sum for 9 spatial data sets: irrigated acreage in wet years, irrigated acreage in dry years, land classification for pasture/rangeland/ production, important grazing and calving areas, buffered locations of water 'guzzlers,' an elk depredation claims index, a mule deer depredation claims index, an antelope depredation claims index, an index based on the age of agricultural buildings associated with land parcels. These data represent an initial step towards spatially identifying lands that represent greater...
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This dataset provides shapefile outlines of the 2,332 lakes that had temperature modeled as part of this study. The format is a shapefile for all lakes combined (.shp, .shx, .dbf, and .prj files). A csv file of lake metadata is included, which includes lake metadata and all features that were considered for the meta transfer model (not all meta features were used). This dataset is part of a larger data release of lake temperature model inputs and outputs for 2,332 lakes in the U.S. (https://doi.org/10.5066/P9I00WFR).
This data release component contains water temperature predictions in 118 river catchments across the U.S. Predictions are from the four models described by Rahmani et al. (2020): locally-fitted linear regression, LSTM-noQ, LSTM-obsQ, and LSTM-simQ.
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This data release component contains mean daily stream water temperature observations, retrieved from the USGS National Water Information System (NWIS) and used to train and validate all temperature models. The model training period was from 2010-10-01 to 2014-09-30, and the test period was from 2014-10-01 to 2016-09-30.
Categories: Data; Tags: AL, AR, AZ, Alabama, Arizona, All tags...
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This dataset represents numerical values denoting a binary identification of whether a particular condition is met. In this case, values represent whether a given land parcel (represented as a pixel) is classified as "Hay/Pasture" or "Cultivated Crops" (pixels will be assigned a value of 1), or not (all pixels not in one of these categories will be assigned a value of 0). This raster is one of 9 inputs used to calculate the "Normalized Importance Index."


map background search result map search result map Change Agents - Energy - Total Coal Mines Change Agents - Current Road Density Resource Index - Terrestrial - Agriculture BLM Wilderness Study Areas Species of Concern - AWVED (Assessment of Wildlife Vulnerability to Energy Development) Future Change - Total WY Game and Fish Dept. - Aquatic Priority Areas Trout Unlimited-Coldwater Fisheries Data Condition Index - Aquatic - Focal Species Federal Protected Lands Lands (NPS Units, FWS Refuges, USFS Wilderness) WLCI - Important Agricultural Lands Assessment (Normalized Importance Index) WLCI - Important Agricultural Lands Assessment (Input Raster: NLCD Lands Classified as Hay/Pasture or Cultivated Crops) WLCI - Important Agricultural Lands Assessment (Input Raster: Resource Index-Terrestrial-Agriculture-Important Agricultural Lands) Process-based water temperature predictions in the Midwest US: 1 Spatial data (GIS polygons for 7,150 lakes) Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning: 1 Lake information for 2,332 lakes Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 3 Model inputs Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 5 Model predictions Daily surface temperature predictions for 185,549 U.S. lakes with associated observations and meteorological conditions (1980-2020) 2 Observations: Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins BLM Wilderness Study Areas Federal Protected Lands Lands (NPS Units, FWS Refuges, USFS Wilderness) WLCI - Important Agricultural Lands Assessment (Input Raster: NLCD Lands Classified as Hay/Pasture or Cultivated Crops) WLCI - Important Agricultural Lands Assessment (Normalized Importance Index) WLCI - Important Agricultural Lands Assessment (Input Raster: Resource Index-Terrestrial-Agriculture-Important Agricultural Lands) Change Agents - Energy - Total Change Agents - Current Road Density Resource Index - Terrestrial - Agriculture Species of Concern - AWVED (Assessment of Wildlife Vulnerability to Energy Development) Future Change - Total Trout Unlimited-Coldwater Fisheries Data WY Game and Fish Dept. - Aquatic Priority Areas Coal Mines Condition Index - Aquatic - Focal Species Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning: 1 Lake information for 2,332 lakes Process-based water temperature predictions in the Midwest US: 1 Spatial data (GIS polygons for 7,150 lakes) Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 3 Model inputs Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 5 Model predictions 2 Observations: Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins Daily surface temperature predictions for 185,549 U.S. lakes with associated observations and meteorological conditions (1980-2020)