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).

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).

DNA sequence data output with assigned taxonomic IDs. This dataset is associated with the following publication: Hatzenbuhler, C., J.R. Kelly, J. Martinson, S. Okum, and E. Pilgrim. Sensitivity and accuracy of high-throughput metabarcoding methods for early detection of invasive fish species. Scientific Reports. Nature Publishing Group, UK, 7: 1-10 (46393), (2017).

Dataset contains site x zooplankton taxa data from Lake Superior in 2016. Different tabs have data from morphological ID and from DNA metabarcoding ID with 4 different genetic markers. This dataset is associated with the following publication: Meredith, C., J. Hoffman, A. Trebitz, E. Pilgrim, S. Okum, and J. Martinson. Evaluating the performance of DNA metabarcoding for assessment of zooplankton communities in Western Lake Superior using multiple markers. Metabarcoding and Metagenomics. Pensoft Publishers, Sofia, BULGARIA, 50: 83-97, (2021).

OTU sequence reads by sample, along with assigned taxonomy. This dataset is associated with the following publication: Bagley, M., E. Pilgrim, M. Knapp, C. Yoder, J. Santodomingo, and A. Banerji. High-throughput environmental DNA analysis informs a biological assessment of an urban stream. ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 104: 378-389, (2019).

Crustacean zooplankton were collected, enumerated, identified, and measured within the St. Clair-Detroit River System (SCDRS). Collections were made using a 0.5 m diameter 153 um zooplankton net. Nets were lowered to ~0.5 m from bottom depth and retrieved. Nets were utilized with a General Oceanics flowmeter to calculate the distance the net traveled. At sites of collection, both temperature (degrees C) and Secchi depth (m) were collected for abiotic influencing factors of the zooplankton community. Collected specimens were narcotized in sugar formalin. Specimens were enumerated, identified, and measured under a dissection microscope. Volumetric estimates (m^-3) were obtained by applying the distance traveled and the area of the net. Abundances and biomasses were estimated based on the average length of a group of organisms and the samples estimated to be within a collected sample, and then the average estimated weight of an individual from length-weight regressions. This is a revised version of a data release. For details on changes, please see the “version-history.txt” document in the attached files. All previous versions are available from the author. First posted - March 23, 2018 (available from author) Revised - April 24, 2018 (version 1.1) Revised - November 18, 2020 (version 1.2)