mercury concentrations determined in fish tissue samples collected from the Penobscot River, Maine. This dataset is associated with the following publication: Melnyk, L., J. Lin, D. Kusnierz, K. Pugh, J. Durant, R. Suarez-Soto, R. Venkatapathy, D. Sundaravadivelu, A. Morris, J. Lazorchak, G. Perlman, and M. Stover. Risks from mercury in anadromous fish collected from Penobscot River, Maine. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 781: 146691, (2021).

These data represent Hg concentrations in tissue from 104 analyses of fish samples collected at 7 sites in streams/rivers and lakes during 2004 to 2013 within or near to Bad River Tribal lands. Nine fish species are represented in this dataset. Most fish specimens were collected by the Bad River Tribe, but collection agency was not always indicated in source files.

These data represent Hg concentrations in tissue from 104 analyses of fish samples collected at 7 sites in streams/rivers and lakes during 2004 to 2013 within or near to Bad River Tribal lands. Nine fish species are represented in this dataset. Most fish specimens were collected by the Bad River Tribe, but collection agency was not always indicated in source files.

These data were collected as part of the Southwest Alaska Inventory and Monitoring Network (SWAN) freshwater contaminants protocol. The protocol outlines a framework for monitoring mercury (Hg) concentrations in resident lake fish within SWAN parks. The primary goal of this monitoring is to understand the spatial differences, temporal trends, and health ramifications of Hg contamination in resident lake fish. Monitoring relies on total Hg in fish axial muscle as an indicator of methyl Hg exposure. It targets four high-priority lakes which vary in size, depth, wetland cover, glacial influence, and Hg concentration. These lakes are in Katmai National Park and Preserve (KATM). The focal species is lake trout (Salvelinus namaycush), a widespread, long lived, top predator in SWAN lakes. However, if other species are sampled as bycatch, they may be retained and analyzed if they represent species-specific data gaps in Hg concentration. Two broad types of data are generated from this protocol. The first type includes observations and measurements that are recorded while sampling and processing fish (e.g., length, weight, sex). The second type includes results of analyses performed by contract laboratories (e.g., age, total Hg). This particular dataset includes those two broad types of data for 40 fish sampled in 2021. Of those fish, all 40 were lake trout.

These data were collected as part of the Southwest Alaska Inventory and Monitoring Network (SWAN) freshwater contaminants protocol. The protocol outlines a framework for monitoring mercury (Hg) concentrations in resident lake fish within SWAN parks. The primary goal of this monitoring is to understand the spatial differences, temporal trends, and health ramifications of Hg contamination in resident lake fish. Monitoring relies on total Hg in fish axial muscle as an indicator of methyl Hg exposure. It targets four high-priority lakes which vary in size, depth, wetland cover, glacial influence, and Hg concentration. These lakes are in Katmai National Park and Preserve (KATM). The focal species is lake trout (Salvelinus namaycush), a widespread, long lived, top predator in SWAN lakes. However, if other species are sampled as bycatch, they may be retained and analyzed if they represent species-specific data gaps in Hg concentration. Two broad types of data are generated from this protocol. The first type includes observations and measurements that are recorded while sampling and processing fish (e.g., length, weight, sex). The second type includes results of analyses performed by contract laboratories (e.g., age, total Hg). This particular dataset includes those two broad types of data for 40 fish sampled in 2021. Of those fish, all 40 were lake trout.

Comma-separated values (.csv) file containing data related to mercury in fishes collected from Clear Lake, California.

Comma-separated values (.csv) file containing data related to mercury in fishes collected from Clear Lake, California.

Supplementary data for "Vreedzaam A, Ouboter P, Hindori-Mohangoo AD, Lepak R, Rumschlag S, Janssen S, Landburg G, Shankar A, Zijlmans W, Lichtveld MY, Wickliffe JK. Contrasting mercury contamination scenarios and site susceptibilities confound fish mercury burdens in Suriname, South America. Environ Pollut. 2023 Nov 1;336:122447. doi: 10.1016/j.envpol.2023.122447. Epub 2023 Aug 28. PMID: 37648055; PMCID: PMC10756560.". This dataset is associated with the following publication: Vreedzaam, A., P. Ouboter, A. Hindori-Mohangoo, R. Lepak, S. Rumschlag, S. Janssen, G. Landburg, A. Shankar, W. Zijlmans, M. Lichtveld, and J. Wickliffe. Contrasting mercury contamination scenarios and site susceptibilities confound fish mercury burdens in Suriname, South America. ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 336: 122447, (2023).

data is from NHANES study and EPA fish intake and HG concentration in fish tissue. This dataset is associated with the following publication: Xue , J., V. Zartarian , B. Mintz , M. Weber , K. Bailey , and A. Geller. Modeling tribal exposures to methyl mercury from fish consumption. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 533: 102-109, (2015).

data is from NHANES study and EPA fish intake and HG concentration in fish tissue. This dataset is associated with the following publication: Xue , J., V. Zartarian , B. Mintz , M. Weber , K. Bailey , and A. Geller. Modeling tribal exposures to methyl mercury from fish consumption. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 533: 102-109, (2015).