This data release contains plankton sampling results collected in the Willamette River in Portland, Oregon. The data release will be updated with new results as they are collected. The samples in this data release were collected at USGS stations 453027122400000 (Willamette River below the Holgate Channel), 452913122394300 (Ross Island Lagoon – Willamette River), and 453833122462700 (Willamette River at RM 1.5) between May 14 and August 14, 2024. Time-series water temperature, specific conductance, dissolved oxygen, pH, and chlorophyll and phycocyanin fluorescence data that were collected at 453027122400000 are available from the USGS National Water Information System (https://waterdata.usgs.gov/nwis).

This data release contains plankton sampling results collected in the Willamette River in Portland, Oregon. The data release will be updated with new results as they are collected. The samples in this data release were collected at USGS stations 453027122400000 (Willamette River below the Holgate Channel), 452913122394300 (Ross Island Lagoon – Willamette River), and 453833122462700 (Willamette River at RM 1.5) between May 14 and August 14, 2024. Time-series water temperature, specific conductance, dissolved oxygen, pH, and chlorophyll and phycocyanin fluorescence data that were collected at 453027122400000 are available from the USGS National Water Information System (https://waterdata.usgs.gov/nwis).

Water-quality data and plankton samples were collected at multiple locations within the Fernhill Natural Treatment wetland and along the Tualatin River, located to the west of Portland, Oregon, during the summers of 2018, 2019 and 2020. Water quality parameters collected include water temperature, specific conductance, dissolved oxygen, pH, turbidity, chlorophyll, and blue green algae. Data were collected to better understand how water discharged from the upstream natural treatment wetland (Fernhill Wetlands) affect algal species and water quality in the Tualatin River.

Data presented here are subset of a larger plankton imagery data set collected in the subtropical Straits of Florida from 2014-05-28 to 2014-06-14. Imagery data were collected using the In Situ Ichthyoplankton Imaging System (ISIIS-2) as part of a NSF-funded project to assess the biophysical drivers affecting fine-scale interactions between larval fish, their prey, and predators. This subset of images was used in the inaugural National Data Science Bowl (www.datasciencebowl.com) hosted by Kaggle and sponsored by Booz Allen Hamilton. Data were originally collected to examine the biophysical drivers affecting fine-scale (spatial) interactions between larval fish, their prey, and predators in a subtropical pelagic marine ecosystem. Image segments extracted from the raw data were sorted into 121 plankton classes, split 50:50 into train and test data sets, and provided for a machine learning competition (the National Data Science Bowl). There was no hierarchical relationships explicit in the 121 plankton classes, though the class naming convention and a tree-like diagram (see file "Plankton Relationships.pdf") indicated relationships between classes, whether it was taxonomic or structural (size and shape). We intend for this dataset to be available to the machine learning and computer vision community as a standard machine learning benchmark. This “Plankton 1.0” dataset is a medium-size dataset with a fair amount of complexity where image classification improvements can still be made.

Plankton and other data were collected using net casts in the Beaufort Sea from the USCGC GLACIER and other platforms from 04 August 1972 to 17 May 1979. Data were collected by Dr. Rita Horner of National Marine Fisheries Service (NMFS) with support from the Outer Continental Shelf Environmental Assessment Program (OCSEAP) project.

During two seasonal sampling events in spring (June) and fall (August) of 2015, the U.S. Geological Survey, in cooperation with the Illinois Department of Natural Resources and the U.S. Environmental Protection Agency, collected benthos (benthic invertebrates) and plankton (zooplankton and phytoplankton) at three sites each in the Waukegan Harbor Area of Concern (AOC) in Illinois and in Burns Harbor-Port of Indiana, a non-AOC, in Indiana. Physical and chemical data were sampled concurrently (specific conductance, temperature, pH, dissolved oxygen, chlorophyll-a, total and volatile suspended solids in water samples; particle size and volatile-on-ignition solids of sediment in benthic grab samples). Benthos were collected by using Hester-Dendy artificial substrate samplers and composite dredge grab samples of bottom sediment; zooplankton were collected by using tows from depth to the surface with a 63-micrometer mesh plankton net; phytoplankton were collected by using whole water samples composited from set depth intervals. The interpretive report based on these data is Scudder Eikenberry, B.C., Templar, H.A., Burns, D.J., Dobrowolski, E.G., and Schmude, K.L., 2017, Comparison of benthos and plankton for Waukegan Harbor Area of Concern, Illinois, and Burns Harbor-Port of Indiana non-Area of Concern, Indiana, in 2015: U.S. Geological Survey Scientific Investigations Report 2017–5039, 29 p., https://doi.org/10.3133/sir20175039. QA/QC of the data is documented in this report.

Plankton data were collected using net casts in the North Pacific Ocean from FRANCISCO DE ULLOA. Data were collected from 15 July 1998 to 30 July 1998. Data were submitted by Center for Scientific Investigation and Higher Education, Ensenada, Mexico with support from the Investigaciones Mexicannas De La Corriente De California (IMECOCAL) project.

Plankton samples were taken monthly at Groote Eylandt, Gulf of Carpentaria. Numbers and densities of plankton were measured and prawn post-larval data were collected.