Data

The Alaska Forage Fish Database (AFFD) is a consolidation of survey data from multiple agencies that were sampled via fishing gear and predator diets. The spatial coverage includes the Gulf of Alaska, Bering Sea, Aleutian Islands, Chukchi Sea, and Beaufort Sea. Fish species within the database include Pacific sand lance, Pacific capelin, Pacific herring, juvenile walleye pollock and...

The Alaska Geochemical Database Version 4.0 (AGDB4) contains geochemical data compilations in which each geologic material sample has one best value determination for each analyzed species, greatly improving efficiency of use. The relational database includes historical geochemical data archived in the USGS National Geochemical Database (NGDB), the Atomic Energy Commission National...

Boreal Partners in Flight developed the Alaska Landbird Monitoring Survey (ALMS) primarily to monitor breeding populations of landbirds in the vast off-road areas of Alaska in conjunction with data collected from the roadside North American Breeding Bird Survey (BBS). ALMS is a collaborative program in which agencies and other entities conduct standardized surveys of breeding birds and...

The Alaska Resource Data File (ARDF) is a database of mines, prospects, and mineral occurrences in Alaska. It contains information compiled from published and unpublished sources from industry, U.S. Bureau of Mines (BOM), U.S. Geological Survey (USGS), and other government and private sources. ARDF is not a mining claims database.

This USGS Data Release presents major-oxide glass geochemical results from tephras erupted form Alaska volcanoes. This data set is in support of volcano hazard studies by the Alaska Volcano Observatory (AVO) where tephra (volcanic ash) deposits are used to assess eruption frequency, magnitude, and character of eruption. These data are part of a larger effort to identify and characterize...

Alkenone samples collected during September 2023 from the Farm Road, Rushmere and Pipsico localities on the James River in SE Virginia.

This data release contains information collected during surveys for chorus fogs (Pseudacris maculata), wood frogs (Lithobates sylvaticus) and tiger salamanders (Ambystoma mavortium) conducted in Rocky Mountain National Park (1986 – 2022) by the U.S. Geological Survey. Survey methods included visual encounter and aural surveys, and dip netting. Data collected between 1986 and 1994 focused...

This study generated genetic 'barcode' data using high-throughput sequencing to characterize pollen collected by the endangered rusty-patched bumblebee, Bombus affinis. Pollen samples were associated with a single Bombus affinis colony within a structure in Red Wing, Minnesota, USA, as previously described by Boone et al. (2022). This data release consists of two tab-delimited files: 1)...

This data release contains two vector polygon shapefile datasets that delineate footprints of land surface disturbance and waste that may represent potential above-ground resources resulting from past mining in Alaska. These footprints were mapped on 2023 World Imagery at the location of currently inactive Alaska Resource Data File sites of past mining production.

Prior research has shown that sediment budgets, and therefore stability, of microtidal marsh complexes scale with areal unvegetated to vegetated marsh ratios (UVVR) suggesting these metrics are broadly applicable indicators of microtidal marsh vulnerability. This effort has developed the UVVR metric using readily available satellite imagery for the coastal areas of the contiguous United...

This repository contains the code used to analyzed the water quality from a formalin study. We examined how formalin affected the total nitrogen and nitrite nitrogen in water that was passed through a biofilter.

We conducted a scoping review to assess the current state of the science and knowledge gaps of post-wildfire water quality. A scoping review is a rapid, systematic approach that is more superficial compared to traditional reviews, and can be considered a preliminary study that informs future in-depth reviews, meta-analyses, or modelling efforts (Robinne et al., 2020). We developed a...