Data

Supplementary data for studies conducted in the Luquillo Experimental Forest (LEF), eastern Puerto Rico include measurements of temperature, relative humidity and cloud immersion at 30-minute resolution. Temperature and relative humidity were measured at five sites; two primary sites have records from March 2014 to June 2019; other sites have shorter records within that period. From these data,

These data are annual aeolian dust deposition calculations from vertical deposition at seven locations near the vicinity of Moab, Utah covering the period from 1999 to 2020. Data were collected by the U.S. Geological Survey Geosciences and Environmental Change Science Center (Denver, Colorado) and Southwest Biological Science Center (Moab, Utah) to "monitor sediment characteristics at sites select

This dataset includes fine root productivity data that were estimated via two techniques (serial coring and root in-growth bags) in tidal freshwater wetlands and adjacent oligohaline marshes in coastal South Carolina and Georgia from March 2016 through October 2017.

This dataset contains macroinvertebrate sampling data for the wetlands in the Cottonwood Lake Study Area, Stutsman County, North Dakota.

This dataset contains the number of breeding pairs of bird species surveyed in all Cottonwood Lake Study Area wetlands.

This dataset contains the number of captured individuals recorded for each amphibian species surveyed in all wetlands in the Cottonwood Lake Study Area, Stutsman County, North Dakota. While amphibians were the target of the surveys, reptiles (i.e., turtles, snakes) were also sometimes captured over the course of the surveys and are included in the data file.

This dataset contains macroinvertebrate sampling data (weights) for wetlands in the Cottonwood Lake Study Area, Stutsman County, North Dakota.

This dataset contains the specific conductance values of water for all wetlands in the Cottonwood Lake Study Area, Stutsman County, North Dakota.

The Mississippi River Deltaic Plain has extensive marsh habitats (fresh, intermediate, brackish, and saline) where soil cores were collected to a depth of 100 cm at 24 sites to assess long-term carbon accumulation rates and coast-wide burial rates. Each core was sectioned into 2-cm depth intervals, and select intervals were analyzed for percent moisture, bulk density, total carbon, and radionuclid

USGS researchers with the Patterns in the Landscape ? Analyses of Cause and Effect (PLACE) project are releasing a collection of high-frequency surface water map composites derived from daily Moderate Resolution Imaging Spectroradiometer (MODIS) imagery. Using Google Earth Engine, the team developed customized image processing steps and adapted the Dynamic Surface Water Extent (DSWE) to generate s

This data release provides inputs needed to run the LANDIS-II landscape change model, NECN and Base Fire extensions for the Greater Yellowstone Ecosystem (GYE), USA, and simulation results that underlie figures and analysis in the accompanying publication. We ran LANDIS-II simulations for 112 years, from 1988-2100, using interpolated weather station data for 1988-2015 and downscaled output from 5

This data release provides inputs needed to run the LANDIS PRO forest landscape model and the LINKAGES 3.0 ecosystem process model for the area burned by the Black Dragon Fire in northeast China in 1987, and simulation results that underlie figures and analysis in the accompanying publication. The data release includes the fire perimeter of Great Dragon Fire; input data for LINKAGES including soil