Filters: Tags: Sleeping Bear Dunes National Lakeshore (X)8 results (93ms)
Comma-separated values (.csv) file containing data related to mercury concentrations in dragonfly samples from U.S. National Parks collected as part of the Dragonfly Mercury Project (DMP). This data release supersedes Eagles-Smith, C.A., Nelson, S.J., Flanagan-Pritz, C.M., Willacker Jr., J.J., and Klemmer, A.J., 2018, Total Mercury Concentrations in Dragonfly Larvae from U.S. National Parks (ver. 6.0, June 2021): U.S. Geological Survey data release, https://doi.org/10.5066/P9TK6NPT. Please contact email@example.com for access.
Avian botulism toxicity is a common cause of death to water and shore birds that live near or migrate through Lake Michigan. The botulism neuro-toxin type E (bontE) gene is responsible for the production of botulinum neurotoxin type E. Quantitative Polymerase Chain Reaction (qPCR) was performed using a Step One Plus Thermocycler (Applied Biosystems) and protocol described in Getchell and others, 2011, Journal of Aquatic Animal Health. The assay was used to assess microbial community DNA obtained from environmental samples that were collected by Great Lakes Science Center and by National Park Service from 2011 to 2014 for the bontE gene. Samples were obtained by ponar grab or by divers and matrices collected...
Comma-separated values (.csv) files containing data related to a National-scale assessment of mercury bioaccumulation in the US National Parks using dragonfly larvae as biosentinels through a citizen science framework.
This environmental dataset consists of 56 sediment, 24 Cladophora and 22 water samples collected from beaches at Glen Haven, Good Harbor, Platte Bay and Esch road beach, located within The Sleeping Bear Dunes National Lakeshore, Leelanau and Benzie counties, Michigan. The dataset includes matrix type, location, data, time and the qPCR reported value for each sample collected.
Vegetation classification crosswalk database for use in GIS to synchronize vegetation map layers of the NPS Great Lakes Network to the U.S. National Vegetation Classification
The geodatabase contains 13 relate tables that together provide updated and synchronized classifications to an existing vegetation map layer for each of the nine park units in the Great Lakes Network (GLKN) of the National Park Service (NPS) Natural Resource Inventory and Monitoring Program. The classifications include 1) vegetation types at every hierarchical level in the 2015 version of the U.S. National Vegetation Classification (USNVC) and 2) map classes that represent vegetation and land cover in the vegetation map layers. Furthermore, the tables provide a crosswalk between the two classifications (vegetation and map). Each park unit in GLKN has received, at different times over several years, vegetation data...
The geographic information system (GIS) format spatial data set of vegetation for Sleeping Bear Dunes National Lakeshore (SLBE) was created for the National Park Service (NPS) Vegetation Inventory Program (VIP). The SLBE covers an area of over 24,000 ha (59,305 acres) and over 28,000 ha (69,190 acres) with the ~400 m surface water jurisdiction into Lake Michigan included. The map classification scheme used to create the vegetation data set is designed to represent local vegetation types at the finest level possible using the National Vegetation Classification Standard (NVCS) Version 2. Physiognomic information was also recorded, including height (woody vegetation), canopy density, and coverage patterns. The vegetation...
Quantitative polymerase chain reaction (qPCR): An alternative, rapid water quality monitoring tool at a National Park on Lake Michigan.
Data were collected to evaluate the efficacy of quantitative polymerase chain reaction (qPCR) as a rapid, alternative method for monitoring recreational water at select beaches and rivers of Sleeping Bear Dunes National Lakeshore (SLBE), in Empire, Michigan. Water samples were collected between August 4 and September 18, 2014 (N=297) from four locations (Esch Rd, Otter Creek, Platte Bay, and Platte River). The samples were analyzed for indicator bacteria, E. coli and enterococci, by both culture-based (membrane filtration, MF; traditional method) and non-culture based (qPCR; rapid method). Recreational water quality standards (RWQS) and beach action values (BAV) were used as indices to compare water quality standard...