Laboratory and Field Data for a Performance Evaluation of the PhytoFind, an In-Place Phytoplankton Classification Tool

Dates

Publication Date: 2022-12-27
Time Period: 2019-07-15
Time Period: 2019-07-16
Time Period: 2019-07-17
Time Period: 2019-07-18
Time Period: 2019-07-23
Time Period: 2019-07-24
Time Period: 2019-07-25
Time Period: 2019-07-26
Time Period: 2019-08-01
Time Period: 2019-11-12

Citation

Reed, A.P., Johnston, B.D., Graham, J.L., Foster, G.M., and Downing, B.D., 2022, Laboratory and field data for a performance evaluation of the PhytoFind, an in-place phytoplankton classification tool: U.S. Geological Survey data release, https://doi.org/10.5066/P9VHWTYC.

Summary

This data release presents the laboratory and field results of a performance evaluation conducted on the Turner Designs, Inc., PhytoFind, an in-place phytoplankton classification tool. The laboratory evaluation included tests that were designed to characterize PhytoFind performance under a range of conditions that may affect phytoplankton fluorescence and sensor response. Laboratory tests included a range of phytoplankton types, morphologies, and biomass; water temperatures; and matrix challenges. Laboratory evaluations on the PhytoFind were performed at U.S. Geological Survey offices in Orlando, Florida and Troy, New York on various dates from July to November 2019. Data from a moving-boat survey was designed to assess the effect [...]

Summary

This data release presents the laboratory and field results of a performance evaluation conducted on the Turner Designs, Inc., PhytoFind, an in-place phytoplankton classification tool. The laboratory evaluation included tests that were designed to characterize PhytoFind performance under a range of conditions that may affect phytoplankton fluorescence and sensor response. Laboratory tests included a range of phytoplankton types, morphologies, and biomass; water temperatures; and matrix challenges. Laboratory evaluations on the PhytoFind were performed at U.S. Geological Survey offices in Orlando, Florida and Troy, New York on various dates from July to November 2019. Data from a moving-boat survey was designed to assess the effect of dissolved organic matter (DOM) on instrument function and the efficacy of the integrated DOM compensation feature. The PhytoFind was exposed to both freshwater and estuarine environments during the moving-boat survey, which was conducted from July 15 - 19, 2019 in south Florida along the Okeechobee Waterway. Laboratory data included in this data release: PhytoFind measurements, other ancillary sensor measurements, laboratory-extract chlorophyll-a concentrations, phytoplankton enumeration and classification data, and other ancillary laboratory data for each experiment. Moving-boat survey data included in this data release: PhytoFind measurements and other ancillary information.

Contacts

Point of Contact :: Brett D Johnston
Originator :: Ariel P Reed, Brett D Johnston, Jennifer L Graham, Guy M Foster, Bryan D Downing
Metadata Contact :: Jennifer L Graham
Publisher :: U.S. Geological Survey
Distributor :: U.S. Geological Survey - ScienceBase
SDC Data Owner :: New York Water Science Center
USGS Mission Area :: Water Resources

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Evaluation of PhytoFind Metadata.xml Original FGDC Metadata	View	68 KB	application/fgdc+xml
Division-level.csv		11.43 KB	text/csv
FunctionalGroup.csv		16.09 KB	text/csv
Genus-level.csv		20.48 KB	text/csv
Sensor_Data.csv		11.26 MB	text/csv
experiments flow chart.png		95.63 KB	image/png

Related External Resources

Type: Related Primary Publication

Johnston, B.D., Graham, J.L., Foster, G.M., and Downing, B.D., 2022, Technical Note—Performance Evaluation of the PhytoFind, an In-Place Phytoplankton Classification Tool: U.S. Geological Survey Scientific Investigations Report 2022-5103, 36 p.	https://doi.org/10.3133/sir20225103

Type: ScienceBase Repository

Mazzei, Viviana, Reed, Ariel P., and Booth, Amanda C., 2022, Phytoplankton Community Composition and Abundance in Lake Okeechobee and the Okeechobee Waterway, Florida, USA, July and August 2019: U.S. Geological Survey data release, https://doi.org/10.5066/P9M9JOAF.	https://doi.org/10.5066/P9M9JOAF
Booth, A., and Knight, T., 2019, Near-Surface Spatial Water-Quality Surveys along the Caloosahatchee River, St. Lucie River and Lake Okeechobee in July and August 2019, south Florida (ver. 1.1, December 2020): U.S. Geological Survey data release, https://doi.org/10.5066/P95WYHHE.	https://doi.org/10.5066/P95WYHHE

Type: Publication that references this resource

Arar, E.J., and Collins, G.B., 1997, Method 445.0—In vitro determination of chlorophyll a and pheophytin a in marine and freshwater algae by fluorescence (rev. 1.2): U.S. Environmental Protection Agency, Office of Research and Development, 22 p.	https://cfpub.epa.gov/si/si_public_record_report.cfm?Lab=NERL&dirEntryId=309417
Berkman, J.A.H., and Canova, M.G., 2007, Chapter 7.4, Algae biomass indicators: U.S. Geological Survey Techniques of Water-Resources Investigations, book 9, chap 7.4, https://doi.org/10.3133/twri09A7.4.	https://doi.org/10.3133/twri09A7.4
Foster, G.M., King, L.R., Jastram, J.D., Joiner, J.K., Pellerin, B.A., Graham, J.L., and Williams, T.J., 2021, Technical Note—Relative variability of selected turbidity standards and sensors in use by the U.S. Geological Survey: U.S. Geological Survey Open-File Report, 2021-1009, 41 p., 23 app., https://doi.org/10.3133/orf20211009.	https://doi.org/10.3133/orf20211009
Olson, R. J., & Sosik, H. M. (2007). A submersible imaging‐in‐flow instrument to analyze nano‐and microplankton: Imaging FlowCytobot. Limnology and Oceanography: Methods, 5(6), 195-203.	https://doi.org/10.4319/lom.2007.5.195
Foster, G.M., Graham, J.L., Bergamaschi, B.A., Carpenter, K.D., Downing, B.D., Pellerin, B.A., Rounds, S.A., and Saraceno, J.F., 2022, Field techniques for the determination of algal pigment fluorescence in environmental waters: Principles and guidelines for instrument and sensor selection, operation, quality assurance, and data reporting: U.S. Geological Survey Techniques and Methods TM1-D10, 34 p., https://doi.org/10.3133/tm1D10	https://doi.org/10.3133/tm1D10

Type: Method

Baird, R.B., Eaton, A.D., and Rice, E.W. (eds), 2017, Standard Methods for Examination of Water and Wastewater, 23rd Edition: American Public Health Association, American Water Works Association, Water Environment Federation,https://www.awwa.org/Publications/Standard-Methods.	https://www.awwa.org/Publications/Standard-Methods
Integrated Taxonomic Information System, 2020, http://itis.gov	http://itis.gov

Purpose

These data were collected to assess the performance of the PhytoFind in controlled and natural environments. The U.S. Geological Survey maintains a network of phytoplankton fluorescence sensors as part of its national monitoring network. The data from these sensors can be used to estimate algal biomass and relative community composition, which are important for assessing spatiotemporal dynamics and developing early indicators for potentially harmful algal blooms. The instrument evaluated here was for use within that network. U.S. Geological Survey technology evaluations are conducted to determine the suitability of a given sensor or system for current or future use in U.S. Geological Survey monitoring. These evaluations are performed by U.S. Geological Survey staff using specific protocols, criteria, and quality assurance procedures. The U.S. Geological Survey does not seek to rank or compare technologies; determine regulatory compliance; identify technologies as acceptable or not; and does not seek to determine “best available technologies” in any form. The U.S. Geological Survey does not certify that a technology will always operate as demonstrated and makes no expressed or implied guarantee as to the performance of the technology. The end user is solely responsible for complying with all applicable federal, state, and local requirements. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Laboratory and Field Data for a Performance Evaluation of the PhytoFind, an In-Place Phytoplankton Classification Tool

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