All Data

Streams provide water for human activities and consumption in much of the world. Streamflow is largely controlled by climate forces, therefore it is likely sensitive to climate changes. We analyzed daily air temperature (AT), precipitation (P), and stream discharge (Q) metrics for 124 watersheds in Maryland, Virginia, and North Carolina, United States, from 1981 through 2020. Spatial...

This repository contains analysis codes to interpolate missing data from the Upper Mississippi River LTRM dataset.

The dataset accompanies the scientific article, "Reconstructing missing data by comparing interpolation techniques: applications for long-term water quality data." Missingness is typical in large datasets, but intercomparisons of interpolation methods can alleviate data gaps and common problems associated with missing data. We compared seven popular interpolation methods for predicting...

These data are high-resolution bathymetry (riverbed elevation) in LAS format, generated from the August 1–3, 2022, hydrographic survey of the Calumet River and Calumet Sag Channel in Cook County, Illinois. The survey extends from the junction with Lake Michigan in the northeast downstream to the junction with the Chicago Sanitary and Ship Canal in the southwest. Hydrographic data were...

These data are high-resolution bathymetry (riverbed elevation) in LAS format, generated from the August 22–24, 2022, hydrographic survey of the Chicago Sanitary and Ship Canal (CS&SC) and sections of the Chicago River and North Branch Chicago River in Cook County, Illinois. The survey extends from the Cook County line near Interstate 355 in the southwest upstream to the Chicago Harbor...

Field crews from Northern Prairie Wildlife Research Center from 1991-1993 in Stutsman County, North Dakota and Pope and Stevens Counties, Minnesota, gathered nest success and fledgling data from nests found within Conservation Reserve Program fields and Waterfowl Production Areas. This dataset includes nesting observations of bird species found within these two field types. The dataset...

This data release is a field-verified inventory of postfire hydrologic response for the 2020 CZU (San Mateo–Santa Cruz Unit) Lightning Complex, River Fire, Camel Fire, and Dolan Fire following a 26-29 January 2021 atmospheric river storm sequence. Postfire hydrologic response types include a) no response, b) minor response, and c) major response. A “minor” response was deemed capable of...

This study monitored soil surface elevation change from mangrove forests fertilized with nitrogen and phosphorus from 2018-2021. The mangroves selected at Ding Darling National Wildlife Refuge (NWR) have been previously exposed to high nutrient loading from agricultural discharge into the Caloosahatchee River, which elevated soil phosphorus levels to 3-4 times ambient before treatments...

This study evaluated CO2 flux from soils and pneumatophores of Avicennia germinans mangrove trees subjected to nitrogen and phosphorus fertilization versus an unfertilized control with a basin mangrove ecosystem. Data were collected twice, once in the summer (June 2020) and once in the winter (November 2020) and will be used to help develop a carbon budget for basin mangroves on Sanibel...

U. S. Geological Survey (USGS) scientists completed a data collection campaign from the 26th of July to the 13th of August in 2021, using various methods to record geomorphic and habitat indicators throughout streams in the Shenandoah Valley. Field methods included GNSS surveys, gravelometer-based pebble count readings, visual assessments, and riparian analyses. This metadata record...

Patch-level summary of 8 climatic characteristics at each of 1,865 talus patches across 3 regions in the Rocky Mountains. Dataset notes the year in which the patch was surveyed for pikas, the values of its climatic characteristics (estimated from the ClimateNA dataset), the name of each talus patch, and which of the 3 regions each patch occurs in.

This data release contains a shapefile of riparian vegetation communities attributed with information on trends in satellite-estimates of vegetation productivity for the period from 2000-2020. Cloud-masked Landsat data were processed from 2000 to 2020 to generate a 21-year growing season (June, July, and August) time series combining data from Landsat 5 (2000-2011), Landsat 7 (2012), and...