Data Releases
The data collected and the techniques used by USGS scientists should conform to or reference national and international standards and protocols if they exist and when they are relevant and appropriate. For datasets of a given type, and if national or international metadata standards exist, the data are indexed with metadata that facilitates access and integration.
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A comprehensive inventory of maximum glacial extent in Glacier National Park during the peak of the Little Ice Age A comprehensive inventory of maximum glacial extent in Glacier National Park during the peak of the Little Ice Age
This data release consists of digitized glacier margins that represent the maximum extent of glaciers in Glacier National Park (GNP) and two glaciers on U.S. Forest Service's Flathead National Forest land during the peak of the Little Ice Age. Glacier margins are based on moraine deposits that result from active glaciation, and do not depict perennial snow and ice. Moraines are...
SedCam Model Calibration Imagery Acquired June 2020 to September 2021 at East Branch Brandywine Creek (USGS 01480870) SedCam Model Calibration Imagery Acquired June 2020 to September 2021 at East Branch Brandywine Creek (USGS 01480870)
Two empirical simple linear regression models were developed from SedCam imagery and concurrent physical sediment samples over a 20-month period at the East Branch Brandywine Creek gage (USGS 01480870). The image files included here are a subset, used in the calibration dataset for these regression models. Models relate the explanatory variable, Rmax (maximum digital number of the red...
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.
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...
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...
Geophysical and core sample data collected offshore central California, during field activity 2019-651-FA (ver 2.0, August 2023) Geophysical and core sample data collected offshore central California, during field activity 2019-651-FA (ver 2.0, August 2023)
This dataset includes sub-bottom seismic and sediment core data collected during USGS field activity 2019-651-FA. Data were collected aboard the M/V Bold Horizon in October 2019 offshore central California in the vicinity of Morro Bay. Sub-bottom data include multichannel sparker and CHIRP seismic in SEG-Y format with associated navigation tracklines. Core data include photo and computed