18S OTU table with taxonomy, including metadata on sampled vessels. This dataset is associated with the following publication: Darling, J., J. Martinson, K. Pagenkopp-Lohan, K. Carney, E. Pilgrim, A. Banerji, K. Holzer, and G. Ruiz. Metabarcoding quantifies differences in accumulation of ballast water borne biodiversity among three port systems in the United States. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 749: 141456, (2020).

OTU tables with taxonomy for zooplankton samples drawn from ballast water tanks, including metadata on sampled vessels. This dataset is associated with the following publication: Pagenkopp Lohan, K.M., J. Darling, and G.M. Ruiz. International shipping as a potent vector for spreading marine parasites. Diversity and Distributions. Blackwell Publishing Limited, Oxford, UK, 28(9): 1922-1933, (2022).

OTU tables with taxonomy for zooplankton samples drawn from ballast water tanks, including metadata on sampled vessels. This dataset is associated with the following publication: Pagenkopp Lohan, K.M., J. Darling, and G.M. Ruiz. International shipping as a potent vector for spreading marine parasites. Diversity and Distributions. Blackwell Publishing Limited, Oxford, UK, 28(9): 1922-1933, (2022).

OTU tables with taxonomy for zooplankton samples drawn from ballast water tanks, including metadata on sampled vessels. This dataset is associated with the following publication: Bailey, S.A., T. Brydges, O. Casas-Monroy, J. Kydd, R.D. Linley, R.M. Rozon, and J. Darling. First evaluation of ballast water management systems on operational ships for minimizing introductions of nonindigenous zooplankton. MARINE POLLUTION BULLETIN. Elsevier Science Ltd, New York, NY, USA, 182: 113947, (2022).

OTU tables with taxonomy for zooplankton samples drawn from ballast water tanks, including metadata on sampled vessels. This dataset is associated with the following publication: Bailey, S.A., T. Brydges, O. Casas-Monroy, J. Kydd, R.D. Linley, R.M. Rozon, and J. Darling. First evaluation of ballast water management systems on operational ships for minimizing introductions of nonindigenous zooplankton. MARINE POLLUTION BULLETIN. Elsevier Science Ltd, New York, NY, USA, 182: 113947, (2022).

The data provided in the file are measurements (and calculations) of various morphological characteristics made on individual larval fish specimens. This dataset is associated with the following publication: Peterson, G., and J. Lietz. Identification of Ruffe larvae (Gymnocephalus cernuus) in the St. Louis River, Lake Superior: Clarification and guidance regarding morphological descriptions. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 43(1): 205-210, (2017).

The data provided in the file are measurements (and calculations) of various morphological characteristics made on individual larval fish specimens. This dataset is associated with the following publication: Peterson, G., and J. Lietz. Identification of Ruffe larvae (Gymnocephalus cernuus) in the St. Louis River, Lake Superior: Clarification and guidance regarding morphological descriptions. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 43(1): 205-210, (2017).

U.S Fish and Wildlife Services (USFWS) Lower Great Lakes Fish and Wildlife Conservation Office (LGLFWCO) Aquatic Invasive Species (AIS) Early Detection and Monitoring (EDM) program began in 2012 following the onset of Great Lakes Restoration Initiative (GLRI) funding. This program is apart of a larger basin-wide Great Lakes AIS EDM effort by the USFWS. The goal of this program is to detect novel AIS species (fish and aquatic invertebrates) by sampling a diversity of habitats with a wide array of gear types. Sampling focuses on harbors, rivers and tributaries of the lower Great Lakes (Erie and Ontario) as determined by a risk-based prioritization framework for AIS in the Great Lakes. The program is composed of three components of AIS surveillance: juvenile/adult fish, ichthyoplankton (larval fish), and aquatic invertebrates (including crayfish). Sampling strategies and protocols are analyzed and designed to capture the maximum species richness at locations with the assumption that capturing an abundance of species, including singletons and doubletons, could lead to detecting rare novel AIS species if present. Protocols vary depending on the component of the program and descriptions can be found within the metadata of each dataset. This program is adaptive in nature and standardization, although important for comparisons, is not the primary intention of this AIS sampling strategy. Any significant AIS detections are reported to partners following an internal communications protocol.

The files include the presence/absence data by sample for either high-throughput sequencing-based taxonomy or morphology-based taxonomy. The files also include our estimates of the species' biomass in each sample, along with the presence/absence classification by taxonomic method. This dataset is associated with the following publication: Hoffman, J., C. Meredith, E. Pilgrim, A. Trebitz, C. Hatzenbuhler, J. Kelly, G. Peterson, J. Lietz, S. Okum, and J. Martinson. Comparison of larval fish detections using morphology-based taxonomy versus high-throughput sequencing for invasive species early detection. CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES. NRC Research Press, Ottawa, CANADA, 78(6): 752-764, (2021).

The files include the presence/absence data by sample for either high-throughput sequencing-based taxonomy or morphology-based taxonomy. The files also include our estimates of the species' biomass in each sample, along with the presence/absence classification by taxonomic method. This dataset is associated with the following publication: Hoffman, J., C. Meredith, E. Pilgrim, A. Trebitz, C. Hatzenbuhler, J. Kelly, G. Peterson, J. Lietz, S. Okum, and J. Martinson. Comparison of larval fish detections using morphology-based taxonomy versus high-throughput sequencing for invasive species early detection. CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES. NRC Research Press, Ottawa, CANADA, 78(6): 752-764, (2021).