cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25675/10217/176156
title: Environmental logger data 2012-2015

description: Zip file includes: data and metadata file.
description: Environmental loggers deployed at willow sites in Yellowstone's Northern Range. Data file contains hourly measurements for soil volumetric water content, soil temperature, air temperature, and precipitation.
DOI: 10.25675/10217/87177
title: SGS-LTER GIS layer with detailed information on study sites on Central Plains Experimental Range, Nunn, Colorado, USA 2012

description: This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Repository (http://hdl.handle.net/10217/100254). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection.
DOI: 10.25675/10217/83512
title: SGS-LTER graduate student research: cattle use of prairie dog towns on the shortgrass steppe of Colorado

description: The Short Grass Steppe site encompasses a large portion of the Colorado Piedmont Section of the western Great Plains. The extent is defined as the boundaries of the Central Plains Experimental Range (CPER). The CPER has a single ownership and landuse (livestock grazing). The PNG is characterized by a mosaic of ownership and land use. Ownership includes federal, state or private and land use consists of livestock grazing or row-crops. There are NGO conservation groups that exert influence over the area, particularly on federal lands.
description: This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Repository (http://hdl.handle.net/10217/100254). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. We investigated the use of prairie dog towns by cattle (Bos taurus) on the shortgrass steppe of northeastern Colorado by conducting surveys of cattle and vegetation from June to August 1999. Cattle presence and behavior were recorded 3 times a week during driving surveys of 15 black-tailed prairie dog (Cynomys ludovicianus) towns. A subset of 3 pastures with prairie dog towns was intensively surveyed twice weekly wherein the habitat and activity of a randomly chosen focal animal was recorded every 6 minutes for 3.5 hours. Bite and step counts of other individuals were recorded for 5-minute intervals. Vegetation height and cover data were collected monthly on each of 6 habitats. Results from driving surveys and intensively surveyed pastures were similar; cattle neither significantly preferred nor avoided prairie dog towns. Bare ground cover on prairie dog towns did not significantly differ from most other habitats, but vegetation on prairie dog towns was significantly shorter on (mean = 6.7 cm) than that off (mean = 11.9 cm) prairie dog towns. Nevertheless, foraging observations indicated that there was no significant difference between cattle foraging rates on swales (70.9 bites/min) and prairie dog towns (69.5 bites/min). Thus, cattle on the shortgrass steppe appear to use prairie dog towns in proportion to their availability and, while there, they graze as intensively as they do on habitats not inhabited by prairie dogs.
DOI: 10.25675/10217/235436
title: Data Associated with "Logjam Characteristics as Drivers of Transient Storage in Headwater Streams"

description: This repository contains data for the experimental flume and numerical model runs referenced in Marshall et al., 2022. Source code, data csv files for statistical analysis, and calculated temporal moments are included.
description: Logjams in a stream create backwater conditions and locally force water to flow through the streambed, creating zones of transient storage within the surface and subsurface of a stream. We investigate the relative importance of logjam distribution density, logjam permeability, and discharge on transient storage in a simplified experimental channel. We use physical flume experiments in which we inject a salt tracer, monitor fluid conductivity breakthrough curves in surface water, and use breakthrough-curve skew to characterize transient storage. We then develop numerical models in HydroGeoSphere to reveal flow paths through the subsurface (or hyporheic zone) that contribute to some of the longest transient-storage timescales. In both the flume and numerical model, we observe an increase in backwater and hyporheic exchange at logjams. Observed complexities in transient storage behavior may depend largely on surface water flow in the backwater zone. As expected, multiple successive logjams provide more pervasive hyporheic exchange by distributing the head drop at each jam, leading to distributed but shallow flow paths. Decreasing the permeability of a logjam or increasing the discharge both facilitate more surface water storage and elevate the surface water level upstream of a logjam, thus increasing hyporheic exchange. Multiple logjams with low permeability result in the greatest magnitude of transient storage, suggesting that this configuration maximizes solute retention in backwater zones, while hyporheic exchange rates also increase. Understanding how logjam characteristics affect solute transport through both the channel and hyporheic zone has important management implications for rivers in forested, or historically forested, environments.
DOI: 10.25675/10217/201109
title: Data associated with Boone (2020) "Hierarchical global plant biophysical regions as potential analysis units"

description: Note: GRID ASCII files (B0_ASCs_No_Dups.7z) were updated on 7/17/20.
description: This data set includes five different data types: 1) An animation of hierarchical biophysical clusters of the globe, from hierarchical distances 0 to 43; 2) An animation of hierarchical biophysical clusters of the globe, from hierarchical distances 0 to 43 and back to 0; 3) Individual hierarchical biophysical clusters of the globe, in image format (PNG), where, for example, 0_Map_003p200.asc is the map at a distance of 3.2 NDVI units; 4) Individual hierarchical biophysical clusters of the globe, in GRID ASCII format, where, for example, B0_Map_003p200.asc is the map at a distance of 3.2 NDVI units; 5) Supplemental raw data for hierarchical biophysical clusters of the globe at a high distance resolution (0.01); See README.txt for more details.
description: Regional and global vegetation simulations can be problematic when analysis units to which parameters are assigned do not align with plant productivity and phenology. Having a suite of pre-defined biophysical regions at a variety of scales that correspond to differences in plant productivity and phenology would allow analysts to select a set of analysis units at the scale needed. In other cases, environmental or social responses may be hypothesized to be related to differences in plant dynamics. One may compare the discrimination in such data that biophysical regions at difference scales provide to determine which best distinguishes the responses in question, such that like responses fall within the same regions to the degree possible. If those relationships are significant, the responses may then be extrapolated based on the biophysical regions. I defined hierarchical biophysical regions based on plant productivity and phenology by clustering global 0.083° Normalized Difference Vegetation Indices over a 10-year period. Agglomerative average-linkage distances based on squared error between clusters was conducted using an iterative sampling approach to merge more than 2 million clusters into fewer and fewer clusters based on NDVI greenness profiles comprised of 240 values over 10 yrs, until all cells were in a single cluster. Greater and greater differences in greenness profiles were ignored at higher levels of the hierarchy. Using a difference increment of 0.1, 253 non-duplicative sets of clusters were created, and 107 of those were included in animations that may be used to explore differences in global plant dynamics. Differences in clusters were quantified based on comparing the focal set of cluster results with 10 other cluster sets. Analysts may use the hierarchical clusters to improve the alignment of their parameter sets that inform plant growth and other dynamics with real-world plant dynamics.
DOI: 10.25675/10217/186040
title: 2016 riparian vegetation within the Colorado River Basin

description: A raster that depicts modeled riparian vegetation in 2016. Training data were collected in Google Earth Engine using National Agriculture Imagery Program (NAIP) imagery. Presence and absence riparian vegetation locations were ocularly estimated within Environmental Protection Agency (EPA) ecoregion III boundaries within the Colorado River Basin. Random forests models were then developed at each ecoregion using Landsat composites and associated vegetation indices. Results were mosaicked to create a continuous raster across the Colorado River Basin.
description: Users of these maps and other analysis products are solely responsible for interpretations made from these products. The Natural Resource Ecology Laboratory makes every effort to ensure this map is free of errors but does not warrant the map or its features are either spatially or temporally accurate or fit for a particular use. The Natural Resource Ecology Laboratory provides this map without any warranty, either express or implied.
description: GeoTiff raster of 2016 riparian vegetation within the Colorado River Basin. This map was created from a random forest model developed in Google Earth Engine.
DOI: 10.25675/10217/186042
title: Mapbook atlas of tamarisk occurrence for 2016 for select Landsat scenes

description: Models of tamarisk occurrence were created on a Landsat scene by scene basis. There were six scenes modeled in total that included portions of the Dolores, Green, Gila, Verde, and Colorado River. Models were developed using a presence background approach with multi-temporal Landsat imagery and derived indices using the random forest algorithm.
description: Select Landsat scenes in the Colorado River Basin.
description: Users of these maps and other analysis products are solely responsible for interpretations made from these products. The Natural Resource Ecology Laboratory makes every effort to ensure this map is free of errors but does not warrant the map or its features are either spatially or temporally accurate or fit for a particular use. The Natural Resource Ecology Laboratory provides this map without any warranty, either express or implied.
description: An ArcGIS created Mapbook atlas of the results of modeling tamarisk occurrence in select scenes in Colorado River Basin for 2016. The atlas includes an overview of the Colorado River Basin with these model results as well as an indexed tile-by-tile map of the results for a more detailed view.
DOI: 10.25675/10217/180136
title: Data associated with the manuscript Using TES retrievals to investigate PAN in North American biomass burning plumes

description: The attached dataset contains the latitude, longitude, time, HMS smoke overlap status, and tropospheric average and maximum TES PAN and TES CO used in Fischer et al. [2018]. See abstract and publication related to this dataset.
description: Peroxyacyl nitrate (PAN) is a critical atmospheric reservoir for nitrogen oxide radicals, and it plays a lead role in their redistribution in the troposphere. We analyze new Tropospheric Emission Spectrometer (TES) PAN observations over North America during July 2006 to 2009. Using aircraft observations from the Colorado Front Range, we demonstrate that TES can be sensitive to elevated PAN in the boundary layer (~750 hPa) even in the presence of clouds. In situ observations have shown that wildfire emissions can rapidly produce PAN, and PAN decomposition is an important component of ozone production in smoke plumes. We identify smoke-impacted TES PAN retrievals by co-location with NOAA Hazard Mapping System (HMS) smoke plumes. Depending on the year, 15 – 32 % of cases where elevated PAN is identified in TES observations (retrievals with DOF &gt; 0.6) overlap smoke plumes during July. Of all the retrievals attempted in July 2006 to July 2009, the percent associated with smoke is 18%. A case study of smoke transport in July 2007 illustrates that PAN enhancements associated with HMS smoke plumes can be connected to fire complexes, providing evidence that TES is sufficiently sensitive to measure elevated PAN several days downwind of major fires. Using a subset of retrievals with TES 510 hPa carbon monoxide (CO) &gt; 150 ppbv, and multiple estimates of background PAN, we calculate enhancement ratios for tropospheric average PAN relative to CO in smoke-impacted retrievals. Most of the TES-based enhancement ratios fall within the range calculated from in situ measurements.
DOI: 10.25675/10217/215634
title: Dataset associated with "Seasonality and source apportionment of non-methane volatile organic compounds at Boulder Reservoir between 2017 and 2019"

description: Dataset containing 13 non-methane volatile organic compounds (NMVOCs) and meteorological parameters collected at Boulder Reservoir (40.0704 N, 105.2198 W, 1604 m asl), located in Boulder, Colorado between 4 April 2017 and 31 December 2019. Data are reported at the local mid time that the NMVOC sample was collected which is reported on Mountain Standard Time (MST). A flag for smoke impacted samples is also included.
description: Multiyear observations of 13 non-methane volatile organic compounds (NMVOCs) were collected at Boulder Reservoir in the Colorado Northern Front Range Metropolitan Area (NFRMA). We separate abundances of NMVOCs into source contributions using two approaches that have been applied to prior NFRMA datasets. Positive matrix factorization (PMF) analysis identifies five NMVOC factors in winter, spring, and fall that correspond to long-lived and short-lived NMVOCs from regional oil and gas production, traffic, local shorter-lived alkenes, and regional anthropogenic background. In summer, there is an additional biogenic NMVOC factor dominated by isoprene. Over all seasons, the PMF model indicates that 57-84% (range includes uncertainties) of C2-C5 alkanes are attributed to oil and natural gas activities. Ethyne is largely from traffic with contributions ranging from 45±6% in winter to 75±21% in summer. Ethene and propene are associated with a potentially separate source of shorter-lived alkenes that we cannot identify. The largest contributing sectors to the observed hazardous air pollutants (HAPs) differ substantially by species and season. Benzene is attributed to oil and natural gas production, traffic and other industrial activities. Toluene is predominantly attributed to regional anthropogenic activities in all seasons. Of the HAPs quantified in this dataset, hexane stands out as largely attributed to oil and natural gas production. The largest differences in the attribution of sources using the two different approaches are for benzene and toluene. Consistent with prior analyses, this work shows that the NFRMA is more strongly influenced by oil and natural gas sources than many other U.S. urban regions.
DOI: 10.25675/10217/85591
title: SGS-LTER effects of grazing on ecosystem structure and function (GZTX): vegetation measurements on the Central Plains Experimental Range, Nunn, Colorado, USA 1992-2008, ARS study number 32

description: The Short Grass Steppe site encompasses a large portion of the Colorado Piedmont Section of the western Great Plains. The extent is defined as the boundaries of the Central Plains Experimental Range (CPER). The CPER has a single ownership and landuse (livestock grazing). The PNG is characterized by a mosaic of ownership and land use. Ownership includes federal, state or private and land use consists of livestock grazing or row-crops. There are NGO conservation groups that exert influence over the area, particularly on federal lands.
description: This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Repository (http://hdl.handle.net/10217/100254). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. When the CPER was established in 1939, researchers constructed a .5-1 ha grazing exclosure in each of the pastures. These areas have remained protected from grazing for the past 70 years. The remaining areas have been grazed for the past 20+ years. This collection of pastures and exclosures provided an extraordinary opportunity to reinitiate grazing and protection, and evaluate the balance between degradation and aggradation. We proposed to rearrange fences and expose areas to grazing that have been protected for 50 years, and protect areas from grazing that had been grazed for 50 years. The combinations of grazing conditions were: 1. Long-term protection; 2. Long-term grazing (moderate); 3. 50 years of protection followed by grazing; 4. 50 years of grazing followed by protection. Net primary production, nitrogen dynamics, cattle utilization, and community dynamics of vegetation, and components of the belowground food web were measured.
DOI: 10.25675/10217/177042
title: WRF-chem simulated surface PM2.5

description: Zip file includes: tar.gz and read me file.
description: Data were collected from June 1, 2015 through October 1, 2015.
description: The simulation was completed for 1 June – 1 October 2015. For this simulation, we used Global Forecast System (GFS) meteorology, biogenic emissions from the Model of Emissions of Gases and Aerosols from Nature (MEGAN), National Emission Inventory 2011 (NEI) anthropogenic emissions, FINN biomass-burning emissions, MOZCART aerosol species and chemistry, and (MOZART) chemical boundaries. Horizontal resolution is 15 km and there are 27 vertical levels. Concentrations are output for each model hour, which we then average to provide daily 24-hour average surface-concentration maps for each US timezone. These files are provided in netcdf format and were generated using IDL code.
DOI: 10.25675/10217/177043
title: Maps of raw and gridded, population-weighted percent of Facebook posters matching search criteria

description: Zip file includes: pdf and read me file.
description: Data were collected from June 5, 2015 through October 27, 2015.
description: This dataset was created using de-identified, aggregated % of Facebook posters matching search criteria at a municipality centroid (location determined by IP address) that were gridded and population-weighted.
DOI: 10.25675/10217/201560
title: MOR2 hydraulic field data

description: This record contains spreadsheets with location and measurements data from hydrologic (streamflow) and hydraulic (floodplain characteristics) work performed in Summer 2012 by S.R.Fassnacht, Niah B.H. Venable, Odgarav Jigjisuren and Sukhbataar Jamiyankhuyag.
DOI: 10.25675/10217/234374
title: Data associated with “Little South Poudre Watershed Climate and Hydrology 1961-1971”

description: This dataset contains temperature, precipitation, stream discharge, and snow course data as reported in Meiman and Leavesley (1974). Data were entered into Excel spreadsheets, formatted to reflect the tables in the report. Data were also reformatted and saved as .csv files to facilitate machine readability and long-term accessibility. The stream discharge data contains data from 1961 to 1971. The streams measured were Fish Creek and Upper and Lower Hourglass. Other gauges in the Little South Fork of the Cache la Poudre Watershed can be found through the USGS (https://waterdata.usgs.gov/nwis). The snow course data is from 1938 to 1971 depending on location. Locations included are the Hourglass Lake Snow Course (NRCS Station: 05J11), Bennett Creek Snow Course (NRCS Station: 05J33), Pingree Park Snow Course, and Sheep Saddle Snow Course. The snow courses with NRCS station numbers can be found through the NRCS site (https://www.nrcs.usda.gov/wps/portal/nrcs/detail/national/water/snowsurvey).
DOI: 10.25675/10217/234139
title: Dataset associated with "Flume investigation into mechanisms responsible for particle sorting in gravel-bed meandering channels"

description: This dataset contains measurements taken and used in the analysis of the meandering channel flume experiment. Included are bedload measurements, channel layout, sediment particle sorting observations, channel topography, and velocity measurements.
description: Meandering gravel-bed rivers tend to exhibit bed surface sorting patterns with coarse particles located in pools and fine particles on bar tops. The mechanism by which these patterns emerge has been explored in sand-bed reaches; however, for gravel-bed meandering channels it remains poorly understood. Here we present results from a flume experiment in which bed morphology, velocity, sediment sorting patterns, and bed load transport were intensively documented. The experimental channel is 1.35 meters wide, 15.2 meters long, and its centerline follows a sine-generated curve with a crossing angle of 20 degrees. Water and sediment input were held constant throughout the experiment and measurements were collected under quasi-equilibrium conditions. Boundary shear stress calculated from near-bed velocity measurements indicates that in a channel with mild sinuosity, deposition of fine particles on bars is a result of divergent shear stress at the inside bend of the channel, downstream of the apex. Boundary shear stress in the upstream half of the pool was below critical for coarse particles (&gt;8 mm), leading to an armored pool. Inward directed selective transport was responsible for winnowing of fine particles in the pool. Fine and coarse sediment followed similar trajectories through the meander bend, which contrasts earlier studies of sand-bedded meanders where the loci of fine and coarse particles cross paths. This suggests a different sorting mechanism for gravel bends. This experiment shows that a complex interaction of quasi-equilibrium bed topography, selective sediment transport, and secondary currents are responsible for the sorting patterns seen in gravel-bed, meandering channels.