Plankton and other data were collected using net casts in the Beaufort Sea from PETER PAN from 09 April 1980 to 11 June 1984. Data were collected by the National Marine Fisheries Service (NMFS) with support from the Outer Continental Shelf Environmental Assessment Program (OCSEAP) project.

Physical, nutrients, and plankton data were collected using plankton net and bottle casts in the South Pacific Ocean from 01 August 1961 to 09 September 1965. Data were submitted by the Instituto Del Mar Del Peru; Callao. Plankton data include both zooplankton and phytoplankton.

The project was a multi-year observation of zooplankton during the spring bloom period in a subarctic embayment. A small vessel belonging to the University of Alaska Juneau Center for Fisheries and Ocean Sciences was used to collect the data. Collections were made twice weekly using a CalVET net and a 1-m NIO Net. The CalVET net had 165 micrometer mesh, the NIO net had 500 micrometer mesh. Three to 4 stations were sampled in the bay and adjacent inlet.

Plankton and other data were collected using net casts in the Gulf of Alaska and Bering Sea from NOAA Ship MILLER FREEMAN from 26 April 1976 to 31 May 1976. Data were collected and submitted by the National Marine Fisheries Service (NMFS) with support from the Outer Continental Shelf Environmental Assessment Program (OCSEAP) project.

This dataset includes plankton taxa and counts, gear type, tow type, net mouth diameter and mesh size. The data were collected from 1928 through 1987 from numerous vessels worldwide. The data were compiled by the Smithsonian Oceanographic Sorting Center (SOSC) and submitted to NODC in 1994.

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 from the ASTERIAS and other platforms from 01 June 1972 to 01 October 1972. Data were collected by the All Union Research Institute of Marine Fisheries and Oceanology - Moscow (VNIRO) as part of the International Decade of Ocean Exploration (IDOE).

Zooplankton biomass data collected from North Atlantic Ocean in 1958 - 1959 years received from NMFS.