Skip to main content
U.S. flag

An official website of the United States government

Data

Tools and data sets generated in the over 500 CASC projects are made publicly available for use in future research or management projects. CASC data stewards ensure products remain up-to-date and maintain high levels of data integrity. Browse a selection of data sets from CASC projects below.

Filter Total Items: 56

County-Level Geographic Distributions for 47 Exotic Plant Species in Midwest USA and Central Canada, Compiled 2019

Geographic distribution data were collected based on county level occurrences (or converted from point occurrences to county level occurrences) within the five focal states (Minnesota, North Dakota, South Dakota, Nebraska & Iowa) and each U.S. state or Canadian province bordering those focal states (Wisconsin, Illinois, Missouri, Kansas, Wyoming, & Montana in the USA and Saskatchewan, Ontario & Ma

Standardized Precipitation-Evapotranspiration Index for western United States, 2001-2014, derived from gridMET climate estimates

These data are 30m by 30 m grids of the mean Standardized Precipitation-Evapotranspiration Index (SPEI) between 2001-2014 in the western United States. The SPEI index was developed by Sergio M. Vicente-Serrano and coauthors (https://spei.csic.es/index.html). Source evapotranspiration and precipitation data were generated by gridMET (http://www.climatologylab.org/gridmet.html).

Data release: A large-scale database of modeled contemporary and future water temperature data for 10,774 Michigan, Minnesota and Wisconsin Lakes

Climate change has been shown to influence lake temperatures globally. To better understand the diversity of lake responses to climate change and give managers tools to manage individual lakes, we modelled daily water temperature profiles for 10,774 lakes in Michigan, Minnesota and Wisconsin for contemporary (1979-2015) and future (2020-2040 and 2080-2100) time periods with climate models based on

Daily HOBO Pro V.2 soil temperate measurements at the Great Dismal Swamp National Wildlife Refuge (2015-2017)

Daily HOBO Pro V.2 soil temperature measurements at the Great Dismal Swamp National Wildlife Refuge (2015-2017). Data collected in Great Dismal Swamp National Wildlife Refuge in Southern VA and Northern NC from 9 plot sites representing three general forest types: Atlantic White Cedar, Pocosin Pine, and Maple and Gum.

Sap Quantity at Study Sites in the Northeast

Maple syrup is produced from the sap of sugar maple collected in the late winter and early spring. Native American tribes have collected and boiled down sap for centuries, and the tapping of maple trees is a cultural touchstone for many people in the northeast and Midwest. Because the tapping season is dependent on weather conditions, there is concern about the sustainability of maple sugaring as

Sap Quality at Study Sites in the Northeast

Maple syrup is produced from the sap of sugar maple collected in the late winter and early spring. Native American tribes have collected and boiled down sap for centuries, and the tapping of maple trees is a cultural touchstone for many people in the northeast and Midwest. Because the tapping season is dependent on weather conditions, there is concern about the sustainability of maple sugaring as

Fish and Climate Change (FiCli) Database: Informing climate change adaptation and management actions for freshwater fishes

Inland fishes provide important ecosystem services to communities worldwide and are especially vulnerable to the impacts of climate change. Fish respond to climate change in diverse and nuanced ways, which creates challenges for practitioners of fish conservation, climate change adaptation, and management. Although climate change is known to affect fish globally, a comprehensive online, public dat

High-Resolution Georeferenced Major Rivers Point Data, Spaced in 150m intervals

The Global River Points dataset is a high-resolution vector file geodatabase of 73 rivers world-wide. Each river is represented by a series of points spaced 150 meters apart and each point has attached environmental attributes extracted from multiple data sets. The attributes include physical information (slope, elevation, temperature, precipitation, river width and discharge) and landscape variab

Evaluating Adaptive Capacity of Desert Bighorn Sheep to Climate Change: Identifying Genetic Links to Climate Adaptations

Natural selection may result in local adaptation to different environmental conditions across the range of a species. Understanding local adaptation, in turn, informs management decisions such as translocation to restore locally-extinct populations. We used a landscape genomics approach to detect genetic signatures of selection related to climatic variation among desert bighorn sheep populations a

Geographic patterns and time trends in surface-water quality, modeled streamflow, fish population characteristics, and ecological flows in the Canadian River Basin from Northeast New Mexico to Lake Eufaula, Oklahoma

Geographic patterns and time trends of water-quality, modeled streamflow, and ecological data were compared along the Canadian River and selected tributaries in northeastern New Mexico to Lake Eufaula in Oklahoma to determine effects of climate change on water quality, streamflows, fish populations and ecological flows in this watershed from 1939 to 2013. Project participants included staff from t

Temperature observations from portable data loggers and remote environmental weather stations in North Carolina (2015)

Temperature data were collected from ~40 portable data (temperature) loggers and two weather stations located in central North Carolina, USA during August 2015. In addition to temperature, solar radiation and wind speed data were recorded at one of the sites to estimate the effects of these climate variables on sensor bias.

Analysis of remotely-sensed vegetation conditions during droughts and a mountain pine beetle outbreak, Gearhart Mountain Wilderness, Oregon

This data release includes data-processing scripts, data products, and associated metadata for a remote-sensing based approach to characterize vegetation conditions within a dry, mixed conifer forest study area in southern Oregon in 2001 (a single year drought without any widespread insect mortality) and 2009 (during a multi-year drought that coincided with a severe outbreak of mountain pine beetl