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Projections of Rangeland Fractional Component Cover Across the Sagebrush Biome for Representative Concentration Pathways (RCP) 4.5 and 8.5 Scenarios for the 2020s, 2050s, and 2080s Time-Periods (ver. 1.1, April 2022) Projections of Rangeland Fractional Component Cover Across the Sagebrush Biome for Representative Concentration Pathways (RCP) 4.5 and 8.5 Scenarios for the 2020s, 2050s, and 2080s Time-Periods (ver. 1.1, April 2022)
Climate change over the past century has altered vegetation community composition and species distributions across rangelands in the western United States. The scale and magnitude of climatic influences are unknown. While a number of studies have projected the impacts of climate change using several modeling approaches, none has evaluated impacts to fractional component cover at a 30-m...
Prokaryotic Communities From Marine Biofilms Formed on Stainless Steel Plates in Coral Mesocosms - Raw and Processed Data Prokaryotic Communities From Marine Biofilms Formed on Stainless Steel Plates in Coral Mesocosms - Raw and Processed Data
The files in this data release are those referenced in the journal article by Evans and others (2022) entitled "Ship Biofilms as Potential Reservoirs of Stony Coral Tissue Loss Disease." They contain an amplicon sequence variant (ASV) table and the raw 16S ribosomal ribonucleic acid (rRNA) gene amplicon deoxyribonucleic acid (DNA) sequence files from 15 microbial communities (sample...
Propensity of cold air drainage index and related variables Propensity of cold air drainage index and related variables
Cold air drainage down slopes may form cold air pools in valleys and surface depressions. These cold air pools can significantly affect ecosystem processes, agricultural crops, and air quality. Rupp et al. (2021, Theoretical and Applied Climatology, https://doi.org/10.1007/s00704-021-03712-y) proposed a propensity of cold air drainage index to represent the likelihood of occurrence of...
Properties of ice cores from Hobart Lake, North Dakota, USA, 2021 Properties of ice cores from Hobart Lake, North Dakota, USA, 2021
This data release presents data that were collected as part of a larger effort (Global Lake Ecological Observatory Network [GLEON] IceBlitz) to enhance understanding of the spatial and temporal variation in global lake ice properties. During January and February of 2021 ice cores were extracted from Hobart Lake, North Dakota, USA and characterized following standard procedures...
Prospect- and Mine-Related Features from U.S. Geological Survey 7.5- and 15-Minute Topographic Quadrangle Maps of the United States (ver. 10.0, May 2023) Prospect- and Mine-Related Features from U.S. Geological Survey 7.5- and 15-Minute Topographic Quadrangle Maps of the United States (ver. 10.0, May 2023)
A consolidated version of this data release can be found at: https://doi.org/10.5066/P9TAALR6 Version 10.0 of these data are part of a larger U.S. Geological Survey (USGS) project to develop an updated geospatial database of mines, mineral deposits, and mineral regions in the United States. Mine and prospect-related symbols, such as those used to represent prospect pits, mines, adits...
Protected Areas Database of the United States (PAD-US) 3.0 (ver. 2.0, March 2023) Protected Areas Database of the United States (PAD-US) 3.0 (ver. 2.0, March 2023)
The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public land and voluntarily provided private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastre Theme ( https://communities.geoplatform.gov/ngda-cadastre/ ). The PAD-US is an ongoing project with several published versions of a spatial...
Protected Areas Database of the United States (PAD-US) 3.0 Spatial Analysis and Statistics Protected Areas Database of the United States (PAD-US) 3.0 Spatial Analysis and Statistics
Spatial analysis and statistical summaries of the Protected Areas Database of the United States (PAD-US) provide land managers and decision makers with a general assessment of management intent for biodiversity protection, natural resource management, and outdoor recreation access across the nation. This data release presents results from statistical summaries of the PAD-US 3.0...
Proximal and distal factors associated with the decline in secondary invertebrate prey production in the Colorado River, Glen Canyon, Arizona. Proximal and distal factors associated with the decline in secondary invertebrate prey production in the Colorado River, Glen Canyon, Arizona.
Using a bioenergetic model, demographic data for the Rainbow Trout (Oncorhynchus mykiss) population were compiled and used to estimate total prey consumption in the Colorado River, Glen Canyon , AZ. Additionally, other data including invertebrate diet, drift, and benthic measurements were used to make generalized estimates of daily production rates for the most common benthic...
Pumping, Injection, and Water Spreading Model Input for the Los Angeles Coastal Plain Groundwater Model - MF6 Pumping, Injection, and Water Spreading Model Input for the Los Angeles Coastal Plain Groundwater Model - MF6
These data include pumping, injection, and water spreading input data for the MODFLOW-6 extension and update to Los Angeles Coastal Plain Groundwater Model (LACPGM-MF6) for the years 2016-2020. The LACPGM-MF6 required model inputs to represent groundwater injection, groundwater extraction, and water spreading. Extended datasets include four barrier project injection rates, two...
QFASA Robustness to Assumption Violations: Computer Code QFASA Robustness to Assumption Violations: Computer Code
Quantitative fatty acid signature analysis (QFASA; Iverson et al. 2004) has become a common method of estimating diet composition, especially for marine mammals, but the performance of the method has received limited investigation. Bromaghin et al. (In press) used computer simulation to compare the bias of several QFASA estimators and developed recommendations regarding estimator...
qfasar: Quantitative Fatty Acid Signature Analysis in R qfasar: Quantitative Fatty Acid Signature Analysis in R
Knowledge of predator diets provides numerous insights into their ecology. Diet estimation therefore remains an active area of research in quantitative ecology. Quantitative Fatty Acid Signature Analysis (QFASA) is a method of estimating the diet composition of predators. The fundamental unit of information in QFASA is a fatty acid signature (signature), which is a vector of proportions...
qpcr amplification data for tissue and water samples collected from glacier national park in 2020 amplified with a lednia tumana specific assay qpcr amplification data for tissue and water samples collected from glacier national park in 2020 amplified with a lednia tumana specific assay
Tabular amplification data for individual technical replicates of tissue and water samples collected from Glacier National Park in 2020 and amplified with a Lednia tumana species-specific qPCR assay. Reported results include fractional detection rates, mean quantification cycles, and estimated gene copies per reaction.