Skip to main content

Person

Madison L Goforth

thumbnail
This Benthic Invertebrate Community Analysis dataset, a conceptual subgroup of the Lake Erie Ecological Investigations (LEEI) dataset, focuses on the benthic invertebrates sampled at Areas of Concern (AOCs) on Lake Erie. Per the Quality Assurance Project Plan (QAPP), the invertebrate samples were taken from sediments remaining from the sediment analysis. Identification of the invertebrates was completed by the same invertebrate taxonomist for both the 1998-2000 evaluation and 1986-87 historical evaluation (Smith et al. 1994) for increased consistency. Oligochaetes were identified to species if possible, chironomids were identified to genus, as adult specimens are needed for specific identification, and other taxa...
Categories: Data; Tags: AOCs, Ameiurus nebulosus, Ashtabula, Ashtabula River, Black River, All tags...
thumbnail
This Sediment Analysis dataset, a conceptual subgroup of the Lake Erie Ecological Investigations (LEEI) dataset, focuses on the sediments sampled at Areas of Concern (AOCs) on Lake Erie. Per the Quality Assurance Project Plan (QAPP), sediment collections were a composite of at least five randomly selected samples collected from each site. Per an internal summary report, sediment samples were collected using a stainless steel Eckman dredge. Analytical methods and QA/QC were directed by the Patuxent Analytical Control Facility (PACF) of the US Fish and Wildlife Service. Per Dora Passino-Reader, the Geochemical & Environmental Research Group at Texas A&M University, College Station performed the analytical chemistry...
Categories: Data; Tags: AOCs, Ameiurus nebulosus, Ashtabula, Ashtabula River, Black River, All tags...
thumbnail
The Lake Erie Ecological Investigations (LEEI) dataset, housed at the Great Lakes Science Center (GLSC) was developed during a reevaluation of Lake Erie Areas of Concern (AOCs) from 1998-2000. These AOCs were recognized as such by the International Joint Commission (IJC) of the United States and Canada due to their severe water pollution problems. The dataset includes data from both the 1998-2000 reevaluation as well as data from other historical evaluations from the 1980’s to mid-1990’s for comparison where available. Data Description: Rivers and harbors of the Great Lakes have been impacted for decades by heavy industrialization, densely populated areas, and agriculture resulting in contamination, eutrophication,...
Tags: AOCs, Ameiurus nebulosus, Aquatic Biology, Areas of Concern, Ashtabula, All tags...
thumbnail
This Fish Community Analysis dataset, a conceptual subgroup of the Lake Erie Ecological Investigations (LEEI) dataset, focuses on the fish communities sampled at Areas of Concern (AOCs) on Lake Erie. Per the Quality Assurance Project Plan (QAPP), fish were sampled for identification and measurement of length and weight. Identification of fish were done by the same biologists for both the 1998-2000 data and the 1986-87 historical data (Smith et al. 1994). Any fish difficult to identify were preserved in buffered formalin for later identification. If large numbers of a particular species were collected the first thirty fish were measured and weighed; remaining fish were individually measured and group weighed. All...
Categories: Data; Tags: AOCs, Ameiurus nebulosus, Ashtabula, Ashtabula River, Black River, All tags...
thumbnail
The Lake Erie Ecological Investigations (LEEI) dataset contains data collected on contaminants in sediments, benthic invertebrate populations, fish populations and abnormalities, and fish health of primarily brown bullhead in Areas of Concerns (AOCs) on Lake Erie. A subset of the larger dataset, this section specifically handles reference tables, used in database design in order to standardize often used values and to make the data file efficient, for the main tables of the LEEI dataset. The reference tables include: site.csv, site_date.csv, and species.csv.
Categories: Data; Tags: AOCs, Ameiurus nebulosus, Ameiurus nebulosus, Ashtabula, Ashtabula River, All tags...
View more...
ScienceBase brings together the best information it can find about USGS researchers and offices to show connections to publications, projects, and data. We are still working to improve this process and information is by no means complete. If you don't see everything you know is associated with you, a colleague, or your office, please be patient while we work to connect the dots. Feel free to contact sciencebase@usgs.gov.