Population exposure to trace elements in the Kilembe copper mine area, Western Uganda: a pilot study

The mining and processing of copper in Kilembe, Western Uganda, from 1956 to 1982 left over 15 Mt. of tailings containing cupriferous and cobaltiferous pyrite dumped within a mountain river valley. This pilot study was conducted to assess the nature and extent of risk to local populations from metal contamination arising from those mining activities. We determined trace element concentrations in mine tailings, soils, locally cultivated foods,house dust, drinking water and human biomarkers (toenails) using ICP-MS analysis of acid digested samples. The results showed that tailings, containing higher concentrations of Co, Cu, Ni and As compared with world average crust values had eroded and contaminated local soils. Pollution load indices revealed that 51% of agricultural soils sampled were contaminated with trace elements. Local water supplies were contaminated, with Co concentrations that exceeded Wisconsin (US) thresholds in 25% of domestic water supplies and 40% of Nyamwamba river water samples. Zinc exceeded WHO/FAO thresholds of 99.4 mg kg−1 in 36% of Amaranthus vegetable samples, Cu exceeded EC thresholds of 20 mg kg−1 in 19% of Amaranthus while Pb exceeded WHO thresholds of 0.3 mg kg−1 in 47% of Amaranthus vegetables. In bananas, 20% of samples contained Pb concentrations that exceeded the WHO/FAO recommended threshold of 0.3 mg kg−1. However, risk assessment of local foods and water, based on hazard quotients (HQ values) revealed no potential health effects. The high external contamination of volunteers' toenails with some elements (even after a washing process) calls into question their use as a biomarker for metal exposure in human populations where feet are frequently exposed to soil

Wisconsin 1944

Includes inset "Forest protection area map."; "Base map by U.S. Geological Survey."Color;1:1,000,00

Wisconsin 1986

"PubL-WM-001 86REV."; Shows state public hunting grounds, state recreation areas, national forests, state forests, county forests.; In upper right corner: text on history of land purchases, use and restrictions.; In lower border: index to properties.; Includes illustrations of wildlife.; Includes index to public lands, arranged by counties.Color;1:1:500,00

Surveillance Optimization Project for Chronic Wasting Disease dataset for Wisconsin, US, 1999-2021

This dataset contains five files containing data from the Wisconsin Department of Natural Resources shared with the Cornell Wildlife Health Lab (CWHL) at Cornell University for the purpose of the Surveillance Optimization Project for Chronic Wasting Disease (SOP4CWD). Professionals at the source facility have provided written permission for professionals at the CWHL to post this open data to this persistent eCommons repository. WIDNR_WTD_surveillance_2021.csv: This datafile constitutes records in standardized form depicting the results of chronic wasting disease (CWD) testing of white-tailed deer (Odocoileus virginianus) in Wisconsin, US for hunting seasons from 1999-2000 to 2020-21, as completed by wildlife health diagnosticians at (or in partnership with) the Wisconsin Department of Natural Resources. WIDNR_WTD_harvest_2020.csv: This datafile constitutes the total number of white-tailed deer (Odocoileus virginianus) legally harvested by hunters by county in Wisconsin, US for hunting seasons from 2014-15 to 2019-20, as recorded by the Wisconsin Department of Natural Resources. WIDNR_WTD_density_2020.csv: This datafile constitutes the density of white-tailed deer (Odocoileus virginianus) by county in Wisconsin, US at the beginning of the 2019-20 hunting season, as recorded by the Wisconsin Department of Natural Resources. WIDNR_processors_2021.csv: This datafile constitutes the total number wild cervid meat processors and taxidermists by county in Wisconsin, US for the year 2021, as recorded by the Wisconsin Department of Natural Resources. WIDNR_cervid_facilities_2021.csv: This datafile constitutes the total number of captive cervid facilities by county in Wisconsin, US for the year 2021, as recorded by the Wisconsin Department of Natural Resources.Data collection was funded by the Federal Aid in Wildlife Restoration Program. The SOP4CWD project was funded by Multistate Conservation Grant Program # F21AP00722-01; Michigan Disease Initiative # RC109358; Alabama Department of Conservation and Natural Resources; Florida Fish and Wildlife Conservation Commission; Tennessee Wildlife Resources Agency; New York State Department of Environmental Conservation; and Virginia Department of Natural Resources