Dataset is an Excel file with 6 tabs as follows: 1) Changelog: Documentation of additions and changes to file since its creation 2) Citations: Listing of citations with full references used in other 4 tabs 3-6) Fish, Herps, Zoops, Benthos: For each of these 4 groups, a listing where rows are unique taxa and columns are the attributes recorded for them as described in the journal manuscript. This dataset is associated with the following publication: Trebitz, A., M. Sykes, and J. Barge. A reference inventory for aquatic fauna of the Laurentian Great Lakes. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 45(6): 1036-1046, (2019).

Dataset is an Excel file with 6 tabs as follows: 1) Changelog: Documentation of additions and changes to file since its creation 2) Citations: Listing of citations with full references used in other 4 tabs 3-6) Fish, Herps, Zoops, Benthos: For each of these 4 groups, a listing where rows are unique taxa and columns are the attributes recorded for them as described in the journal manuscript. This dataset is associated with the following publication: Trebitz, A., M. Sykes, and J. Barge. A reference inventory for aquatic fauna of the Laurentian Great Lakes. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 45(6): 1036-1046, (2019).

The Great Lakes Environmental Database (GLENDA) houses environmental data collected by EPA Great Lakes National Program Office (GLNPO) programs that sample water, aquatic life, sediments, and air to assess the health of the Great Lakes ecosystem. GLENDA is available to the public on the EPA Central Data Exchange (CDX). A CDX account is required, which anyone may create. GLENDA offers “Ready to Download Data Files” prepared by GLNPO or a “Query Data” interface that allows users to select from predefined parameters to create a customized query. Query results can be downloaded in .csv format. GLNPO programs providing data in GLENDA include the Great Lakes Water Quality Survey and Great Lakes Biology Monitoring Program (1983-present, biannual monitoring throughout the Great Lakes to assess water quality, chemical, nutrient, and physical parameters, and biota such as plankton and benthic invertebrates), the Great Lakes Fish Monitoring and Surveillance Program (1977-present, annual analysis of top predator fish composites to assess historic and emerging persistent, bioaccumulative, or toxic chemical contaminants), the Cooperative Science and Monitoring Initiative (2002-present, intensive water quality and biology sampling of one lake per year focusing on key challenges and data gaps), the Great Lakes Integrated Atmospheric Deposition Network (1990-present, monitoring Great Lakes air and precipitation for persistent toxic chemicals), the Lake Michigan Mass Balance Study (1993-1996, analyzed the atmosphere, tributaries, sediments, water column, and biota of Lake Michigan for nutrients, atrazine, PCBs, trans-nonachlor, and mercury modelling), and the Great Lakes Legacy Act (1996-present, evaluations of sediment contamination in Areas of Concern). GLENDA is updated frequently with new data.

Image and biometric data were collected for 22 species of fish from Great Lakes Tributaries in Michigan and Ohio, and the Illinois River for the purpose of developing a fish identification classifier. Data consists of a comma delimited spreadsheet that identifies image file names and associated fish identification number, common name, species code, family name, genus, and species, date collected, river from which each fish was collected, location of sampling, fish fork length in millimeters, girth in millimeters, weight in kilograms, and personnel involved with image collection. Biometric data are saved as .csv comma delimited format and image files are saved as .png file type.

Image and biometric data were collected for 22 species of fish from Great Lakes Tributaries in Michigan and Ohio, and the Illinois River for the purpose of developing a fish identification classifier. Data consists of a comma delimited spreadsheet that identifies image file names and associated fish identification number, common name, species code, family name, genus, and species, date collected, river from which each fish was collected, location of sampling, fish fork length in millimeters, girth in millimeters, weight in kilograms, and personnel involved with image collection. Biometric data are saved as .csv comma delimited format and image files are saved as .png file type.

This dataset is the fourth installment of a yearly connectivity update for open habitat within the Great Lakes Restoration Initiative's (GLRI) Terrestrial Habitats & Connectivity (TH&C) work group's Pilot Area. The Pilot Area is a region of the northern Great Lakes Basin between Ashland, WI and the Keweenaw Peninsula and is bounded by Lake Superior in the north and the basin boundary in the south, including a 70 km buffer. Each year the TH&C selects project proposals for funding within the pilot area. These proposals involve either restoration, research, or land acquisition aimed at improving or increasing open connectivity in this area. The intended purpose of each year’s update is to understand the effects of funded projects on the ground work and help inform the location and purpose of future projects proposals. The 2023 open habitat connectivity maps serve as a fourth time step for comparison for each fiscal year from pre 2021 into the future. To create the post FY23 installment of GLRI's Terrestrial Habitats & Connectivity work group's pilot area yearly connectivity maps, we identified the geospatial locations where restoration work benefitting open habitats was completed throughout FY22. These locations were then assigned the lowest resistance value. Then using the open habitat resistance layer from Great Lakes Restoration Initiative's Terrestrial Habitats and Connectivity Work group's Pilot Area's post-fiscal year 2022 we overwrote the post FY22 resistance values with the resistance values assigned to the FY23 locations where work was done. This analysis produced two connectivity maps: a cumulative current map and a normalized current map. The cumulative current map shows where potential movement pathways between open habitat are located within the pilot area, while the normalized current map shows where obstructed movement, diffuse movement, and channelized movement occurs within the pilot area. These maps provide important information on how restoration efforts in the pilot area from both FY21, FY22, and FY23 are affecting open habitat connectivity.

This dataset is the result of a collaboration between the US Geological Survey Great Lakes Science Center and the Great Lakes Coastal Wetland Monitoring Program (CWMP). It contains information on habitat structure, water quality, vegetation, fish, and fish prey in Great Lakes coastal wetlands in the spring and fall from 2016 to 2018. The methods and resulting data mirror the CWMP's standard coastal wetland assessments.

This database contains literature citations and associated abstracts pertaining to the ecology and hydrology of terminal lakes in the Great Basin region of the western United States. This is not meant to be an exhaustive list, nor did we perform a systematic meta-analysis; rather, literature records were included based on topical relevance.

This database contains literature citations and associated abstracts pertaining to the ecology and hydrology of terminal lakes in the Great Basin region of the western United States. This is not meant to be an exhaustive list, nor did we perform a systematic meta-analysis; rather, literature records were included based on topical relevance.