Data

Dunes with a high relative topography can often be easily distinguished in high-resolution lidar-based digital elevation models (DEMs). Thus, researchers have begun using relative topography metrics, such as the topographic position index (TPI; Weiss, 2001), to identify ridges and upper slopes for extracting dunes from lidar-based DEMs (Wernette et al., 2016; Halls et al. 2018). DEMs are often use

In this data release, we present data from three nights of chilling temperatures in 2015 (18th/19th January 2015; 18th/19th February 2015; 5th/6th March 2015) and from three nights of freezing temperatures in 2017/2018 (6th/7th January 2017; 1nd/2nd January 2018; 16th/17th January 2018). In the paper that accompanies this release, we synthesized hypotheses regarding the effects of microclimatic va

A new version of USGS's FORE-SCE model was used to produce unprecedented landscape projections for the Upper Missouri River Basin region of the northern Great Plains. The projections are characterized by 1) high spatial resolution (30-meter cells), 2) high thematic resolution (29 land use and land cover classes), 3) broad spatial extent (covering approximately 516,000 square kilometers), 4) use o

Climate change information simulated by global climate models is downscaled using statistical methods to translate spatially course regional projections to finer resolutions needed by researchers and managers to assess local climate impacts. Several statistical downscaling methods have been developed over the past fifteen years, resulting in multiple datasets derived by different methods. We apply

The dataset was generated to describe historical land-use and land-cover (LULC)for the northern Colorado urban Front Range (which includes the cities of Boulder, Fort Collins, Greeley, and Denver) for an area covering approximately 1,023,660 hectares. The Front Range urban landscape is diverse and interspersed with highly productive agriculture as well as natural land cover types including evergre

These data were compiled for monitoring and analyzing the amount of windblown (aeolian) sediment at 100 cm height near Moab, UT. Big Springs Number Eight (BSNE) field aeolian passive sediment traps are summarized by location and time period in shapefiles. Shapefiles also include attributes used to analyze patterns in the aeolian transport. Three different BSNE shapefiles represent 1) a network of

This dataset is a weekly to bi-weekly resolution 4-year time series (2010-2014) of GDGT and alkenone flux in the northern Gulf of Mexico. The TEX86 and U indices are also included, which are sea surface temperature proxies based on the distribution of GDGTs and alkenones, respectively. For further information regarding data collection and/or processing methods refer to Richey and Tierney (2016).