SSN & STARS: Tools for Spatial Statistical Modeling on Stream Networks
SSN: An R Package for Spatial Statistical Modeling on Stream Networks
Spatial Tools for the Analysis of River Systems (STARS): ArcGIS toolset
Ag Data Commons Maintenance - Thursday 04/15/2021
The Ag Data Commons technical team needs to apply security updates to the system. This maintenance will take place on Thursday, April 15, 2021, between 7:00 am ET and 10:00 am ET. The website and application may experience brief, intermittent outages during this period. Avoid adding or editing datasets during this period to prevent losing information. This notice will be removed once maintenance is complete.
NorWeST Stream Temperature Regional Database and Model
The NorWeST webpage hosts stream temperature data and climate scenarios in a variety of user-friendly digital formats for streams and rivers across the western U.S. Temperature data and model outputs, registered to NHDPlus stream lines, are posted to the website after QA/QC procedures and development of the final temperature model within a river basin.
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The National Stream Internet project
National Stream Internet (NSI) project was developed as a means of providing a consistent, flexible analytical infrastructure that can be applied with many types of stream data anywhere in the country. A key part of that infrastructure is the NSI network, a digital GIS layer which has a specific topological structure that was designed to work effectively with SSNMs. The NSI network was derived from the National Hydrography Dataset Plus, Version 2 (NHDPlusV2) following technical procedures that ensure compatibility with SSNMs.
Sierra Ancha Experimental Forest (SAEF) Climate Data: 2000 - 2011
The Sierra Ancha Experimental Forest (SAEF) is a research area focused on studying watershed management. The Experimental Forest lies roughly 30 miles (48 km) northeast of Globe, Arizona, and is located within the Tonto National Forest. Tabular climate data for the SAEF are presented, including monthly and daily measurements for precipitation, temperature, and wind, for the years 2000 through 2011.
RF-CLASS: Remote-sensing-based Flood Crop Loss Assessment Service System
The Remote-sensing-based Flood Crop Loss Assessment Service System (RF-CLASS) is an Earth Observation (EO) based flood crop loss assessment cyber-service system operated by the Center for Spatial Information Science and Systems (CSISS), George Mason University. RF-CLASS supports flood-related crop statistics and insurance decision-making.
Data from: Quality controlled research weather data – USDA-ARS, Bushland, Texas
The dataset contains 15-minute mean weather data from the USDA-ARS Conservation and Production Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU) research weather station, Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL) for all days in 2016. The data are from sensors deployed at standard heights over grass that is irrigated and mowed during the growing season to reference evapotranspiration standards.
Data from: Similarities among Test Sites Based on the Performance of Advanced Breeding Lines in the Great Plains Hard Winter Wheat Region
Data from USDA-ARS Hard Winter Wheat Regional Nurseries grown in 1987 to 2014 were used to identify similarities in agronomic performance and adaptation of experimental breeding lines among Great Plains test sites.
Data from: Vegetative Buffer Strips for Reducing Herbicide Transport in Runoff: Effects of Buffer Width, Vegetation, and Season
A multi‐year plot‐scale study was conducted on an eroded claypan soil to (1) assess the effects of buffer width, vegetation, and season on runoff transport of atrazine (ATR), metolachlor (MET), and glyphosate; (2) develop VBS design criteria for herbicides; and (3) compare differences in soil quality among vegetation treatments.
Data from: Trends and sensitivities of low streamflow extremes to discharge timing and magnitude in Pacific Northwest mountain streams
The relative influences of total precipitation and air temperature on the annual low streamflow extremes are quantified from 42 Pacific Northwest stream gauges from 1948 to 2013 using mean annual streamflow as a proxy for precipitation amount effects and streamflow center of timing as a proxy for temperature effects on low flow metrics.