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Federal
Greater Yellowstone Ecosystem Whitebark Pine Mortality from Mountain Pine Beetle Probability
Department of the Interior —
Estimates of the probability of mortality in whitebark pine from mountain pine beetles as determined from a logistic generalized addtitive model of the presence of... -
Federal
Presence and abundance data and models for four invasive plant species
Department of the Interior —
We developed habitat suitability models for four invasive plant species of concern to Department of Interior land management agencies. We generally followed the... -
Federal
Northern Rockies Whitebark Pine Mortality from Mountain Pine Beetle Probability
Department of the Interior —
Estimates of the probability of mortality in whitebark pine from mountain pine beetles as determined from a logistic generalized addtitive model of the presence of... -
Federal
Process-guided deep learning water temperature predictions: 4 Training data
Department of the Interior —
This dataset includes compiled water temperature data from a variety of sources, including the Water Quality Portal (Read et al. 2017), the North Temperate Lakes... -
Federal
Data on influence of atmospheric rivers on vegetation productivity and fire patterns in the southwestern US
Department of the Interior —
In the southwestern US, the meteorological phenomenon known as atmospheric rivers (ARs) has gained increasing attention due to its strong connections to floods,... -
Federal
Process-guided deep learning water temperature predictions: 2 Model configurations (lake metadata and parameter values)
Department of the Interior —
This dataset provides model specifications used to estimate water temperature from a process-based model (Hipsey et al. 2019). The format is a single JSON file... -
Federal
Process-guided deep learning water temperature predictions: 3 Model inputs (meteorological inputs and ice flags)
Department of the Interior —
This dataset includes model inputs (specifically, weather and flags for predicted ice-cover) and is part of a larger data release of lake temperature model inputs and... -
Federal
Process-guided deep learning water temperature predictions: 1 Spatial data (GIS polygons for 68 lakes)
Department of the Interior —
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... -
Federal
Process-guided deep learning water temperature predictions: 6 Model evaluation (test data and RMSE)
Department of the Interior —
This dataset includes evaluation data ("test" data) and performance metrics for water temperature predictions from multiple modeling frameworks. Process-Based (PB)... -
Federal
Process-guided deep learning water temperature predictions: 5a Lake Mendota detailed prediction data
Department of the Interior —
Multiple modeling frameworks were used to predict daily temperatures at 0.5m depth intervals for a set of diverse lakes in the U.S. states of Minnesota and Wisconsin.... -
Federal
Process-guided deep learning water temperature predictions: 6c All lakes historical evaluation data
Department of the Interior —
This dataset includes evaluation data ("test" data) and performance metrics for water temperature predictions from multiple modeling frameworks. Process-Based (PB)... -
Federal
Data supporting the study of Impacts of Downscaled Climate Model Selection on Projections of Maple Syrup Tapping Season
Department of the Interior —
A final summary figure summarizing the results of a study that compares two different downscaling techniques in terms of how they project future change in various... -
Federal
Northern Rockies Whitebark Pine Mortality from Mountain Pine Beetle Probability
Department of the Interior —
Estimates of the probability of mortality in whitebark pine from mountain pine beetles as determined from a logistic generalized addtitive model of the presence of... -
Federal
Greater Yellowstone Ecosystem Whitebark Pine Mortality from Mountain Pine Beetle Probability
Department of the Interior —
Estimates of the probability of mortality in whitebark pine from mountain pine beetles as determined from a logistic generalized addtitive model of the presence of... -
Federal
33 high-resolution scenarios of land use and vegetation change in the Great Plains LCC region
Department of the Interior —
A new version of USGS’s FORE-SCE model was used to produce unprecedented landscape projections for four ecoregions in the Great Plains (corresponding to the area... -
Federal
Process-guided deep learning water temperature predictions: 6b Sparkling Lake detailed evaluation data
Department of the Interior —
This dataset includes "test data" compiled water temperature data from an instrumented buoy on Sparkling Lake, WI and discrete (manually sampled) water temperature... -
Federal
Tribal and Indigenous Projects for all Climate Adaptation Science Centers 2012-2019
Department of the Interior —
The Climate Adaptation Science Centers have conducted numerous training and skills development activities to support tribal and indigenous partners as they seek to... -
Federal
Process-guided deep learning water temperature predictions: 4a Lake Mendota detailed training data
Department of the Interior —
This dataset includes compiled water temperature data from an instrumented buoy on Lake Mendota, WI and discrete (manually sampled) water temperature records from... -
Federal
Data release: Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes
Department of the Interior —
Climate change and land use change have been shown to influence lake temperatures and water clarity in different ways. To better understand the diversity of lake... -
Federal
Summary of North Central and South Central Climate Adaptation Science Centers Project Evaluation Survey Data Collected from 2018-2019
Department of the Interior —
The design of this survey protocol is based on the indicator framework presented in Wall et. al (2017 https://doi.org/10.1175/WCAS-D-16-0008.1) and is intended to...