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Federal
Meteorological measurements from five weather stations in Grand and San Juan Counties in southeastern Utah (ver. 3.0, September 2024)
Department of the Interior —
These data were compiled from six automated weather stations that together provide several points in the meteorological record across a latitudinal and elevational... -
City
2050s Mean Monthly High Water
City of New York —
Future Mean Monthly High Water (MMHW) projections for the 2050s from the New York City Panel on Climate Change (2019). -
Federal
Field Measurements and Laboratory Analysis
Department of the Interior —
The dataset includes field measurements and laboratory analysis of water-quality data collected by trained community technicians across the Yukon River Basin in... -
Federal
Potential climate change impacts on mountain goat connectivity in the U.S. Northern Rockies
Department of the Interior —
Establishing connections among natural landscapes is the most frequently recommended strategy for adapting management of natural resources in response to climate... -
Federal
CoSMoS (Coastal Storm Modeling System) Central California v3.1 flood depth and duration projections: average conditions in Monterey County
Department of the Interior —
This data contains maximum depth of flooding (cm) in the region landward of the present-day shoreline for the sea-level rise (SLR) and storm condition indicated. The... -
Federal
Potential climate change impacts on Canada lynx connectivity in the U.S. Northern Rockies
Department of the Interior —
Establishing connections among natural landscapes is the most frequently recommended strategy for adapting management of natural resources in response to climate... -
Federal
Historical RadNet Air Quality Data
U.S. Environmental Protection Agency —
This RadNet Air Quality Data Asset includes all historical data (prior to 2005, when ERAMS was expanded to become RadNet, name changed to reflect new mission) -
Federal
Passive integrated transponder tag data from the West Brook, MA, USA
Department of the Interior —
The Ecology Section at the USGS Conte Laboratory has studied fish in the West Brook since 1997. The goal is to understand the strength and direction of drivers on... -
Federal
CoSMoS (Coastal Storm Modeling System) Central California v3.1 flood-hazard projections: average conditions in San Francisco County
Department of the Interior —
This data contains geographic extents of projected coastal flooding, low-lying vulnerable areas, and maximum/minimum flood potential (flood uncertainty) associated... -
Federal
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 flood-hazard projections: 20-year storm in Orange County
Department of the Interior —
Geographic extent of projected coastal flooding, low-lying vulnerable areas, and maxium/minimum flood potential (flood uncertainty) associated with the sea-level rise... -
Federal
Island of Hawaiʻi lidar-based habitat suitability for ʻākohekohe (Palmeria dolei) conservation introductions, 2023
Department of the Interior —
This dataset comprises high-resolution geotif files representing various aspects of the ʻākohekohe (Palmeria dolei) potential habitat on the Island of Hawaiʻi. It... -
Federal
Model drivers: A large-scale database of modeled contemporary and future water temperature data for 10,774 Michigan, Minnesota and Wisconsin Lakes
Department of the Interior —
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... -
Federal
datasets for journal article_adapting urban BMPs for resilience
U.S. Environmental Protection Agency —
The two excel files contain data for the results discussed and presented in the paper's figures and tables from the SUSTAIN modeling runs for the 5 sites included in... -
Federal
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Perennial Herbaceous Fractional Component Time-Series Across Western North America from 1985-2023
Department of the Interior —
The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across western North America using... -
Federal
Results from investigating changes in streamflow seasonality associated with hydroclimatic variability in the north-central United States among three discrete temporal periods, 1946–2020
Department of the Interior —
This data release contains results of a study investigating changes in streamflow seasonality associated with hydroclimatic variability in the north-central United... -
Federal
Synthetic streamflow regressions and daily mean streamflow estimates at three sites on the Yankee Fork Salmon River near Clayton, ID, Water Years 2012-2019
Department of the Interior —
To provide daily mean streamflow values at ungaged (partial-record) sites within the Yankee Fork Salmon River watershed, the U.S. Geological Survey (USGS), in... -
Federal
Environmental conditions, covariate data used in model fitting, and long-term establishment predictions from 1979 to 2016 in the Great Basin, USA
Department of the Interior —
Data was collected to characterize the conditions under which sagebrush occurs after seeding and wildfire in the Great Basin, and used to parameterize models used to... -
Federal
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 wave-hazard projections: 1-year storm in Channel Islands
Department of the Interior —
Model-derived significant wave height (in meters) for the given storm condition and sea-level rise (SLR) scenario. The Coastal Storm Modeling System (CoSMoS) makes... -
Federal
Projections of post-fire cover of non-native short-lived grasses and forbs under current and future climate conditions
Department of the Interior —
These data provide current and future projected post-fire invasion risk by non-native short-lived grasses and forbs based on vegetation cover data from 26,729 plots... -
City
2020s Mean Monthly High Water
City of New York —
Future Mean Monthly High Water (MMHW) projections for the 2020s from the New York City Panel on Climate Change (2019).