Jeffrey M. Sievers Victoria G. Stengel Jessica M. Trevino 20220311 spreadsheet and image (jpg) files Denver, Colorado U.S. Geological Survey https://doi.org/10.5066/P9X1R5IM A study to develop an earth observation monitoring system to detect harmful algal bloom (HABs) presence within selected north Texas reservoirs using satellite imagery was conducted by the U.S. Geological Survey (USGS). This data release provides the data collected for this study including site locations, water-quality, phytoplankton, and hyperspectral water surface reflectance data. Data were collected between September of 2019 and December of 2020 at 39 sites distributed across 16 reservoirs and 1 stream. The stream site was sampled in response to an algal bloom in August of 2019 in Austin Tex., and is included herein but the reservoir sites are the focus of this data release. The datasets include all routine and quality assurance/quality control (QA/QC) samples collected at each of the sites. Water-quality samples were analyzed for chlorophyll a and total suspended solids (TSS). Phytoplankton were identified to the lowest possible taxonomic level with abundance (density reported as both natural units and cells) and biovolume reported. Hyperspectral water surface reflectance was acquired for the visible and near infrared (NIR) (325-1075 nanometers) spectral range using an ASD Field Spec Handheld 2 spectroradiometer (ASD Inc., 2010). These data are given as digital number (DN, a unitless number representing intensity observed by the spectroradiometer that has not been calibrated) , white reference, and reflectance tabular data with accompanying photographs showing observed water surface conditions at the time of acquisition. There were from one to seven open-water sampling sites distributed across the water surface of each reservoir depending on drainage area, land use within the drainage area, and reservoir morphology. Additionally, most sites were at least 600 meters from the shoreline. The 600-meter 'buffer zone' was to ensure data were acquired from parts of the reservoir areas representing pure water reflectance per pixel spatial resolution for Sentinel 2a/b, Sentinel 3 and Landsat 8 satellite imagery (pixels representing reflectance from only water as opposed to reflectance from a mixture of land and water). At each site, water-quality field properties were measured every five feet to the bottom of the water column starting at the surface. Chlorophyll a was analyzed by the Trinity River Authority Central Laboratory in Dallas, Texas. Samples were analyzed for TSS by the USGS National Water Quality Laboratory in Denver, Colorado. Water-quality field properties (water temperature, dissolved-oxygen concentration and percent saturation, pH, specific conductance, turbidity, chlorophyll fluorescence, phycocyanin fluorescence, and Secchi depth) were also measured at each sampling site. PhycoTech, Inc. determined phytoplankton taxonomy and biomass. Phytoplankton samples were collected at one-two open-water sites at each reservoir. Hyperspectral water surface reflectance was acquired for a subset of field sites and visits from pre-determined positions around the perimeter of the boat at the beginning and the end of sampling to ensure there was minimal interference from sun-angle, shadow and glint from movement of the water surface, movement of the boat, and as the sun moved across the sky. These data were collected by the USGS Oklahoma-Texas Water Science Center to develop an earth observation monitoring system for HAB presence within selected north Texas reservoirs. This earth observation system uses multispectral water surface reflectance detected by spaceborne satellite sensors to identify the presence of chlorophyll and to estimate chlorophyll concentrations in reservoirs. To accomplish this, in-situ data were collected in coordination with USGS National Aeronautical and Space Administration (NASA) Landsat 8 and the European Space Agency (ESA) Sentinel 2A/B satellite overpasses. These in-situ water quality and hyperspectral reflectance data were collected to study the optical properties of reservoir water as an indication of water quality and to calibrate and validate the water surface reflectance signal detected by the satellite sensors. Biological data, such as the phytoplankton taxonomy and concentration of cyanobacteria found in each reservoir, were collected at each site to obtain cyanobacteria taxonomy and concentration of data that corresponds to the hyperspectral water surface reflectance data. https://waterdata.usgs.gov/nwis/inventory https://help.waterdata.usgs.gov/codes-and-parameters 20190830 20201116 observed Complete None planned -101.2994 -94.4604 34.2163 30.0311 Texas and Oklahoma ISO 19115 Topic Category biota Project Keywords water quality cyanobacteria hyperspectral imagery surface water reflectance blue-green algae algal concentration remote sensing harmful algal bloom sentinel 2A sentinel 2B Landsat 8 USGS Metadata Identifier USGS:5fe38f8ed34ea5387deb4923 Project lakes Lake J B Thomas Hubbard Creek Reservoir Lake Palestine Navarro Mills Lake Lake Kemp Lavon Lake Lake Fork Reservoir Lake Tawakoni Jim Chapman Lake Lake Texoma Ray Roberts Lake Lake Lewisville Grapevine Lake Lake Ray Hubbard Lady Bird Lake None. None. U.S. Geological Survey Oklahoma-Texas Water Science Center Public Information Officer Mailing and Physical

1505 Ferguson Lane

Austin Texas 78754 USA 512-927-3500 otpublicinfo@usgs.gov This data set was collected by the USGS in cooperation with the Dallas Water Utilities, and North Texas Municipal Water District. Additionally, we would like to thank Sarah Reynolds, Rachel Nelson, Ramona Rapp, Tyler King, and Scott Ducar for their support on the deliverables of this data release. Thank you to Nima Pahlevan for providing guidance during the design phase of this field data collection endeavor. Project Taxonomic Keywords Bacillariophyta Chlorophyta Chrysophyta Cryptophyta Cyanophyta Euglenophyta Haptophyta Pyrrhophyta Xanthophyta Kingdom Chromista diatoms, golden-brown algae, cryptophytes, dinoflagellates, yellow-green algae, cyanobacteria, euglenoids, green algae Samples were collected approximately 1 foot below the water surface to reduce variability of data within the water column. In addition to environmental grab samples, sequential replicate quality-control grab samples were collected. Riskin and others, 2018 p.2 explain "replicates are two or more samples collected, prepared, and analyzed such that the samples are considered to be essentially identical in composition." Replicate samples were collected during a subset of the surveys. For hyperspectral water surface reflectance data, three QA/QC procedures were implemented. The first QA/QC procedure was to take long exposures deriving the spectral average for an individual acquisition with the Field Spec Handheld 2 spectroradiometer. The second QA/QC procedure was multiple redundant acquisitions of spectral data around the perimeter of the boat upon arrival to the site. The third QA/QC procedure was to repeat the first and second procedures before leaving the site. Following these QA/QC procedures helped to reduce glint and shadow interference from the movement of the water's surface, the movement of the boat, and the change of the solar angle during the time spent at the sample site. In addition, a photograph was taken of the water surface and sky at each visit to each site to aid in model calibration and included as WaterSurfacePhotos.zip file. The hyperspectral acquisition data were processed and reviewed in reflectance graph form for general fit to known solar water surface reflectance. Water-quality review tools available in the R programming language (version 3.6.1) (R Development Core Team, 2019) were used to verify that data had been reviewed and approved for publication and to verify data completeness (package = 'WQReview"). The validity of potential outliers was also determined. These data review tools facilitated the comparison of data over time and from different sampling sites within each reservoir. These tools were used throughout the review process to verify all data collected. The dataset is considered complete for the information presented herein, as described in the abstract, and for the time period specified. Users are advised to read the rest of the metadata record carefully for additional details so that they understand the appropriate uses and limitations of the dataset. No formal positional accuracy tests were conducted. No formal vertical accuracy tests were conducted. U. S. Geological Survey (USGS) 2019 publication The chapters within the manual are continuously updated. The publication date for the individual chapters are variously dated. https://doi.org/10.3133/twri09 Digital and/or Hardcopy 2003 2021 publication date U.S. Geological Survey, 2015 Sample collection methodology U. S. Geological Survey (USGS) 2021 tabular digital data Reston, Va. U.S. Geological Survey Periodically updated http://doi.org/10.5066/F7P55KJN online 2016 2021 publication date U.S. Geological Survey, 2021 Site information and associated water-quality data. T.T. Snazelle 2015 publication U.S. Geological Survey Open-File Report 2015-1063 Reston, Va. U.S. Geological Survey https://doi.org/10.3133/ofr20151063 Digital and/or Hardcopy 2015 publication date Snazelle, 2015 This publication provides a detailed description of the Xylem EXO water-quality sondes along with turbidity, pH, temperature/conductivity, and dissolved-oxygen sensors. L.M. Fuller S.S. Aichele R.J. Minnerick 2004 publication Reston, Va. U.S. Geological Survey https://doi.org/10.3133/sir20045086 Digital and/or Hardcopy 2002 publication date Fuller and others, 2004 Describes the Secchi disk and how to use it. Xylem, Inc. 2020 tabular digital data https://www.ysi.com/file%20library/documents/manuals/exo-user-manual-web.pdf Digital and/or Hardcopy 2020 publication date Xylem, 2020 Provides the operating manual from the Xylem EXO handheld, sensor, and sonde used to measure water-quality field properties. Kestrel, Inc. 2010 publication http://www.globaltestsupply.com/pdfs/cache/www.globaltestsupply.com/kestrel/wind_meter/0845nvtan/manual/kestrel_0845nvtan_wind_meter_manual.pdf Digital and/or Hardcopy 2010 publication date Kestrel, 2010 Describes the Kestrel 4500 pocket weather tracker used to measure wind speed, wind direction, and air temperature. M.J. Fishman L.C. Friedman 1989 publication U.S. Geological Survey Techniques of Water-Resources Investigations book 5 Denver, Colo. U.S. Geological Survey chap. A1 https://doi.org/10.3133/twri05A1 Digital and/or Hardcopy Unknown Unknown publication date Fishman and Friedman, 1989 Description of USGS National Water Quality Laboratory analyses methods used for major ions (inorganic constituents) and TSS. American Public Health Association American Water Works Association Water Environment Federation 2012 publication Digital and/or Hardcopy Unknown Unknown publication date Standard Methods for the Examination of Water and Wastewater Description of laboratory methods for contract laboratories (Trinity River Authority Central Laboratory and PhycoTech Inc.) T.J. Mills 2020 publication https://code.usgs.gov/cpenn/WQ-Review Digital and/or Hardcopy 2020 publication date WQReview R code used to review data. A.M. Bergquist 1985 publication Notre Dame, Ind. University of Notre Dame Digital and/or Hardcopy 1985 publication date Bergquist, 1985 Methodology for phytoplankton analyses. W.G. Crumpton 1987 publication Waco, Tex. American Society of Limnology and Oceanography, Inc. https://aslopubs.onlinelibrary.wiley.com/doi/epdf/10.4319/lo.1987.32.5.1154 Digital and/or Hardcopy 1987 publication date Crumpton, 1987 Methodology for phytoplankton analyses A.L. St. Amand 1990 publication Notre Dame, Ind. University of Notre Dame Digital and/or Hardcopy 1990 publication date St. Amand, 1990 Methodology for phytoplankton analyses. K. Olrik P. Blomqvist P. Brettum G. Cronberg P. Eloranta 1998 publication Stockhom, Sweden Naturvårdsverket Digital and/or Hardcopy 1998 publication date Olrik and others, 1998 Methodology for phytoplankton analyses. H. Hillebrand C.-D. Durselen D. Kirschtel U. Pollingher T. Zohary 1999 publication London, UK Phycological Society of America https://doi.org/10.1046/j.1529-8817.1999.3520403.x Digital and/or Hardcopy 1999 publication date Hillebrand and others, 1999 Methodology for phytoplankton analyses. U.S. Geological Survey National Aeronautics and Space Administration 201911 publication Digital and/or Hardcopy 201911 publication date U.S. Geological Survey, 2019 Description of Landsat 8 satellite. European Space Agency 2015 publication https://sentinel.esa.int/documents/247904/685211/Sentinel-2_User_Handbook Digital and/or Hardcopy 2015 publication date European Space Agency, 2015 Description of Sentinel-2 satellite. ASD, Incorporated 2010 publication http://www.geo-informatie.nl/courses/grs60312/material2017/manuals/600860-dHH2Manual.pdf Digital and/or Hardcopy 2010 publication date ASD, Inc., 2010 Description of the ASD, Inc. Field Spec Handheld 2 spectroradiometer. C. Donlon B. Berruti A. Buongiorno M.-H. Ferreira P. Féménias J. Frerick P. Goryl U. Klein H. Laur C. Mavrocordatos J. Nieke H. Rebhan B. Seitz J. Stroede R. Sciarra 201205 publication Remote Sensing of Environment vol. 120 n/a Elsevier BV ppg. 37-57 https://doi.org/10.1016/j.rse.2011.07.024 Digital and/or Hardcopy 201205 publication date Donlon and others, 2012 Citation for Sentinel 3. M.L. Riskin D.C. Reutter J.D. Martin D.K. Mueller 2018 publication n/a US Geological Survey http://dx.doi.org/10.3133/ofr20181018 Digital and/or Hardcopy 2018 publication date Riskin and others, 2018 Explains what a replicate sample is. R Development Core Team 2019 application/service https://www.r-project.org Digital and/or Hardcopy 2019 publication date R Development Core Team, 2019 The software used to check data for completeness and for outliers. Between 2019 and 2020, a total of 93 environmental water samples for lab analysis, 3 replicate water samples for lab analysis, and 222 white-referenced field spectra across 39 stations were collected. Each field spectrum has a corresponding photo that was taken in the field. Sampling sites were selected based on drainage area, land use within the drainage area, and reservoir morphology. Additionally, sampling sites were confined to any portion of the reservoirs that were greater than 600 meters from the shoreline. The 600 meter 'buffer zone' was to ensure that an adequate satellite image of the reservoir water surface was captured for spectral band analysis. USGS NASA Landsat 8, ESA Sentinel-2A/B (Landsat 8, 2019; Sentinel-2, 2015), and Sentinel 3 were used to determine timing of field sampling. Lab code 169 was used to analyze total suspended solids (TSS) at the USGS National Water Quality Lab using methods described in Fishman and Friedman (1989). Trinity River Authority Central Laboratory analyzed chlorophyll a using standard spectrophotometric methods (Method 10200H: Standard Methods for the Examination of Water and Wastewater). PhycoTech, Inc. identified and enumerated phytoplankton to the lowest taxonomic level possible (Bergquist, 1985; Crumpton, 1987; St. Amand, 1990; Olrik and others, 1998; Hillebrand and others, 1999; Method 10200: Standard Methods for the Examination of Water and Wastewater). Taxonomic names within this Data Release are from PhycoTech's taxonomic naming convention. These taxonomic names may differ from the USGS approved ITIS database. In conjunction with the collection of environmental samples, selected water-quality field properties (water temperature, dissolved-oxygen concentration and percent saturation, pH, specific conductance, chlorophyll fluorescence, phycocyanin fluorescence) were measured at each study site using sampling protocols described in the USGS National Field Manual for the Collection of Water-Quality Data (U.S. Geological Survey, 2015). A National Institute of Standards and Technology calibrated barometer was used to calibrate the dissolved oxygen meter prior to field use. The barometric pressure reported in this data release was measured in the field using an EXO2 hand-held meter (Snazelle, 2015; Xylem, 2020). Reservoir-water transparency was measured using a standard Secchi disk (Fuller and others, 2004). A Kestrel 4500 pocket weather tracker was used to measure wind speed, wind direction, and air temperature (Kestrel, 2010). Data are stored in the National Water Information System database (U.S. Geological Survey, 2021). An ASD, Inc. Field Spec Handheld 2 spectroradiometer was used to collect hyperspectral water surface reflectance data (ASD, Inc., 2010). Hyperspectral water surface reflectance data were acquired for a subset of field sites and visits from pre-determined positions around the perimeter of the boat at the beginning and the end of sampling to ensure there was minimal bias in solar irradiation because of the angle of reflectance changing as the sun moved across the sky. Standard Methods for the Examination of Water and Wastewater Bergquist, 1985 Crumpton, 1987 St. Amand, 1990 Olrik and others, 1998 Hillebrand and others, 1999 U.S. Geological Survey, 2015 Snazelle, 2015 U.S. Geological Survey, 2021 Fuller and others, 2004 Kestrel, 2010 Xylem, 2020 Fishman and Friedman, 1989 U.S. Geological Survey, 2019 European Space Agency, 2015 ASD, Inc., 2010 Donlon and others, 2012 Riskin and others, 2018 R Development Core Team, 2019 2021 .01 .01 Degrees, minutes, and decimal seconds World Geodetic System 1984 (WGS 84) WGS_1984 6378137.0 298.257223563 WaterQualityData.xlsx Water Quality data from 2019 to 2020 Producer defined Site name The descriptive name of the associated station number. Producer defined The descriptive name of the associated station number. Site number Numerical identification of the site as referenced in NWIS and associated with Station name in the data table. Producer defined Station number Numerical identification of the site as referenced in NWIS and associated with Station name in the data table. U.S. Geological Survey, 2021 Date A numeric identifier for the date the sample was collected. Producer defined 08/30/2019 11/16/2020 Time A numeric identifier for the time the samples were collected. Producer defined Time the sample was collected in Central Daylight Time (CDT) or Central Standard Time (CST) in 24-hour time. Type of quality assurance data associated with sample, code A textual identifier for the type of sample collected. Producer defined Environmental Sample Standard sample. U.S. Geological Survey, 2021 Replicate sample Quality-assurance sample. Collected, prepared, and analyzed such that the replicate sample pair is essentially identical in composition and analysis to the Environmental Sample. U.S. Geological Survey, 2021 Sampling depth, feet A numeric identifier for the depth the sample was collected. Producer defined 1 75 feet 1 Temperature, air, degrees Celsius A numeric identifier for the temperature of the air. Producer defined NA No associated data for this depth - this parameter is measured once at site and entered into the surface (1ft) record. Producer defined 13.0 39.1 Degrees Celsius 0.1 Barometric pressure, millimeters of mercury A numeric identifier for air pressure. Producer defined NA Data not available. Producer defined 702 765 Millimeters of mercury 1 Wind speed, miles per hour A numeric identifier for wind speed. Producer defined NA No associated data for this depth - this parameter is measured once at site and entered into the surface (1ft) record. Producer defined 1.0 15 Miles per hour 0.1 Wind speed, miles per hour, remark codes A textual identifier for wind speed remarks. Producer defined NA No remark code. Producer defined < Less than 1.0 miles per hour U.S. Geological Survey, 2021 E Estimated value U.S. Geological Survey, 2021 Wind direction, degrees clockwise from true north A numeric identifier for wind direction. Producer defined NA No associated data for this depth - this parameter is measured once at site and entered into the surface (1ft) record. Producer defined 2 354 Degrees 1 Transparency, water, in situ, Secchi disc, feet A numeric identifier for water transparency. Producer defined NA No associated data for this depth - this parameter is measured once at site and entered into the surface (1ft) record. Producer defined 0.2 9.7 Feet 0.1 Elevation of reservoir water surface above datum, feet A numeric identifier for water surface elevation. Producer defined NA No associated data for this depth - this parameter is measured once at site and entered into the surface (1ft) record. Producer defined Represents reservoir elevation at time of sampling. Dissolved oxygen, water, unfiltered, milligrams per liter A numeric identifier for dissolved oxygen concentration. Producer defined 0.1 16.2 milligrams per liter 0.1 Dissolved oxygen, water, unfiltered, percent of saturation A numeric identifier for dissolved oxygen percent saturation. Producer defined NA Data not available. Producer defined 0 208 percent of saturation 1 pH, water, unfiltered, field, standard units A numeric identifier for pH. Producer defined 6.1 9.1 standard units 0.1 Specific conductance, water, unfiltered, microsiemens per centimeter at 25 degrees Celsius A numeric identifier for specific conductance. Producer defined 128 4,990 microsiemens per centimeter at 25 degrees Celsius 1 Temperature, water, degrees Celsius A numeric identifier for water temperature. Producer defined 8.9 32.5 degrees Celsius 0.1 Hydrogen ion, water, unfiltered, calculated, milligrams per liter A numeric identifier for Hydrogen ions. Producer defined NA No data available. Producer defined 0.00001 0.00076 milligrams per liter 0.00001 Hydrogen ion, water, unfiltered, calculated, milligrams per liter, remark codes A textual identifier for Hydrogen ion remarks. Producer defined NA No remark code. Producer defined M Presence verified but not quantified. U.S. Geological Survey, 2021 Relative humidity, percent A numeric identifier for relative humidity. Producer defined NA No associated data for this depth - this parameter is measured once at site and entered into the surface (1ft) record. Producer defined 31.4 86.3 percent 0.1 Phycocyanin fluorescence (fPC), water, in situ, concentration estimated from reference material, micrograms per liter as phycocyanin A numeric identifier for Phycocyanin fluorescence. Producer defined NA Data not available. Producer defined 0.01 26.3 micrograms per liter as phycocyanin 0.01 Phycocyanin fluorescence (fPC), water, in situ, concentration estimated from reference material, micrograms per liter as phycocyanin, remark codes A textual identifier for Phycocyanin fluorescence remarks. Producer defined NA No remark code. Producer defined < Value is less than 0.01 micrograms per liter as phycocyanin. U.S. Geological Survey, 2021 Phycocyanin relative fluorescence (fPC), water, in situ, relative fluorescence units (RFU) A numeric identifier for Phycocyanin relative fluorescence. Producer defined 0.01 26.0 relative fluorescence units (RFU) 0.1 Phycocyanin relative fluorescence (fPC), water, in situ, relative fluorescence units (RFU), remark codes A textual identifier for Phycocyanin relative fluorescence remarks. Producer defined NA No remark code. Producer defined < Value is less than 0.01 relative fluorescence units (RFU). U.S. Geological Survey, 2021 Suspended solids, water, unfiltered, milligrams per liter A numeric identifier for suspended solids. Producer defined NA No associated data for this depth - this parameter is measured once at site and entered into the surface (1ft) record. Producer defined 15 64 milligrams per liter 1 Suspended solids, water, unfiltered, milligrams per liter, remark codes A textual identifier for suspended solids remarks. Producer defined NA No remark code. Producer defined < Value is less than 15 milligrams per liter. U.S. Geological Survey, 2021 d Sample was diluted. U.S. Geological Survey, 2021 Chlorophyll fluorescence (fChl), water, in situ, fluorometric method, excitation at 470 +-15 nm, emission at 685 +-20 nm, relative fluorescence units (RFU) A numeric identifier for chlorophyll fluorescence. Producer defined 0.1 26.0 relative fluorescence units (RFU) 0.1 Chlorophyll fluorescence (fChl), water, in situ, fluorometric method, excitation at 470 +-15 nm, emission at 685 +-20 nm, relative fluorescence units (RFU), remark codes A textual identifier for chlorophyll fluorescence remarks. Producer defined NA No remark code. Producer defined < Value is less than 0.1 relative fluorescence units (RFU). U.S. Geological Survey, 2021 Chlorophylls, water, in situ, fluorometric method, excitation at 470 +-15 nm, emission at 685 +-20 nm, micrograms per liter A numeric identifier for chlorophyll fluorescence. Producer defined NA Data not available. Producer defined 0.1 107 micrograms per liter 0.1 Chlorophylls, water, in situ, fluorometric method, excitation at 470 +-15 nm, emission at 685 +-20 nm, micrograms per liter, remark codes A textual identifier for chlorophyll fluorescence remarks. Producer defined NA No remark code. Producer defined < Value is less than 0.1 micrograms per liter. U.S. Geological Survey, 2021 Chlorophyll a, phytoplankton, chromatographic-fluorometric method, micrograms per liter A numeric identifier for Chlorophyll a. Producer defined NA No associated data for this depth - this parameter is measured once at site and entered into the surface (1ft) record. Producer defined 3 431 micrograms per liter 1 Chlorophyll a, phytoplankton, chromatographic-fluorometric method, micrograms per liter, remark codes A textual identifier for chlorophyll a remarks. Producer defined NA No remark code. Producer defined < Value is less than 3 micrograms per liter. U.S. Geological Survey, 2021 Turbidity, water, unfiltered, monochrome near infra-red LED light, 780-900 nm, detection angle 90 +-2.5 degrees, formazin nephelometric units (FNU) A numeric identifier for turbidity. Producer defined 0.3 230 formazin nephelometric units (FNU) 0.1 SiteLocations.xlsx Information on reservoir stations. Producer defined Site Number A numeric identifier for the station. Producer defined Site Number Numerical identification of the site as referenced in NWIS and associated with Station Name in data table. U.S. Geological Survey, 2021 Site Name The descriptive name of the associated station number. Producer defined The descriptive name of the associated station number. Latitude A numerical identifier for the location of the site. Producer defined Latitudinal GPS coordinates in degrees, minutes, seconds for the WGS 84 datum. Longitude A numerical identifier for the location of the site. Producer defined Longitudinal GPS coordinates in degrees, minutes, seconds for the WGS 84 datum. PhytoplanktonData.xlsx Phytoplankton Data Producer Defined SITE_NAME The descriptive name of the associated station number. Producer Defined The descriptive name of the associated station number. SITE_NUMBER A numeric identifier for the station. Producer Defined Site Number Numerical identification of site as referenced in NWIS and associated with Station Name in data table. U. S. Geological Survey, 2021 SAMPLE_DATE A numeric identifier for the date the samples were collected. Producer Defined 8/30/2019 11/16/2020 SAMPLE_TIME A numeric identifier for the time the samples were collected. Producer Defined Time the sample was collected in CDT or CST in 24-hour time. TAXA_ID PhycoTech, Inc. internal taxonomic identification code. PhycoTech, Inc. PhycoTech, Inc. internal taxonomic identification code does not change if taxonomic name is changed over time. DIVISION Phytoplankton taxonomy division name. PhycoTech, Inc. Phytoplankton taxonomy division name, which is defined by one of nine phytoplankton divisions: Bacillariophyta, Chlorophyta, Chrysophyta, Cryptophyta, Cyanophyta, Euglenophyta, Haptophyta, Pyrrhophyta, or Xanthophyta. A Miscellaneous classification generally indicates a flagellate category that cannot be assigned to a particular division. CLASS Phytoplankton taxonomy class name. PhycoTech, Inc. NA If the sample is not classified at this level it is indicated with NA. Producer defined Phytoplankton taxonomy class name, which is defined by one of the following fourteen phytoplankton classes: Bacillariophyceae, Chlorophyceae, Chrysophyceae, Coscinodiscophyceae, Cryptomonadaless, Cryptophyceae, Cyanophyceae, Dinophyceae, Euglenophyceae, Fragilariophyceae, Prasinophyceae, Prymnesiophyceae, Raphidophyceae, Xanthophyceae ORDER Phytoplankton taxonomy order name. PhycoTech, Inc. NA If the sample is not classified at this level it is indicated with NA. Producer defined Phytoplankton taxonomy order name, which is defined by one of the following 36 phytoplankton orders: Achnanthales, Aulacoseirales, Bacillarales, Chaetocerotales, Chlorococcales, Chromalinales, Chroococcales, Chrysocapsales, Coscinodiscales, Cryptomonadales, Cymbellales, Euglenales, Eunotiales, Fragilariales, Gonyaulacales, Gymnodinales, Mischococcales, Naviculales, Nostocales, Ochromonadales, Oscillatoriales, Peridinales, Polyblepharidales, Prasinocladales, Prymnesiales, Raphidomonadales, Rhizosoleniales, Rhopalodiales, Spirulinales, Synechococcales, Tetrasporales, Thalassiophysales, Thalassiosirales, Ulotrichales, Volvocales, Zygnematales FAMILY Phytoplankton taxonomy family name. PhycoTech, Inc. NA If the sample is not classified at this level it is indicated with NA. Producer defined Phytoplankton taxonomy family name, which is defined by one of the following 57 phytoplankton families: Achnanthaceae, Actinodiscaceae, Aulacoseriaceae, Bacillariaceae, Brachysiraceae, Catenulaceae, Certiaceae, Chaetocerotaceae, Characiaceae, Chlamydomonadaceae, Chlorococcaceae, Chloromonadinaceae, Chromulinaceae, Chroococcaceae, Chrysocapsaceae, Chrysococcaceae, Coccomyxaceae, Cocconiedaceae, Coelastraceae, Cryptomonadaceae, Cryptomonadales, Cymbellaceae, Desmidiaceae, Dictyosphaeriaceae, Dinobryaceae, Diploneidaceae, Euglenaceae, Eunotiaceae, Fragilariaceae, Glenodiniaceae, Gomphonemataceae, Gymnodiniaceae, Hemidiscaceae, Hydrodictyaceae, Micractinaceae, Naviculaceae, Nostocaceae, Ochromonadaceae, Oocystaceae, Oscillatoriaceae, Palmellopsidaceae, Pedinomonadaceae, Peridinaceae, Pleurochlororidaceae, Polyblepharidaceae, Rhizosoleniaceae, Rhopalodiaceae, Scenedesmaceae, Skeletonemaceae, Spirulinaceae, Stauroneidaceae, Stephanodiscaceae, Stichiogloeaceae, Synechococcaceae, Synuraceae, Ulotrichaceae, Zygnemataceae GENUS Phytoplankton taxonomy genus name. PhycoTech, Inc. NA If the sample is not classified at this level it is indicated with NA. Producer defined Phytoplankton taxonomy genus name, which is defined by one of the following 132 phytoplankton genuses: Achnanthidium, Actinastrum, Actinocyclus, Amphidinium, Amphora, Anabaenopsis, Ankistrodesmus, Aphanizomenon, Aphanocapsa, Aphanothece, Aulacoseira, Bambusina, Brachysira, Carteria, Ceratium, Chaetoceros, Characium, Chlamydomonas, Chlorogonium, Chromulina, Chroococcus, Chroomonas, Chrysochromulina, Chrysolykos, Chrysosporum, Closterium, Cocconeis, Coelastrum, Coelomoron, Coelosphaerium, Colonial, Cosmarium, Craticula, Crucigenia, Cryptomonas, Cuspidothrix, Cyanocatena, Cyanodictyon, Cyanogranis, Cyanonephron, Cyclostephanos, Cyclotella, Cymbella, Dactylococcopsis, Deasonia, Denticula, Desmodesmus, Diatoma, Dictyosphaerium, Dimorphococcus, Dinobryon, Diploneis, Dolichospermum, Encyonema, Euastrum, Euglena, Eunotia, Fragilaria, Geitlerinema, Glenodinium, Gloeocystis, Golenkinia, Gomphonema, Gomphosphaeria, Goniochloris, Gonyostomum, Gymnodinium, Hegewaldia, Hydrodictyon, Jaaginema, Kephyrion, Kirchneriella, Komvophoron, Lagerheimia, Lepocinclis, Leptolyngbya, Lindavia, Mallomonas, Merismopedia, Microcystis, Monomastix, Monoraphidium, Mougeotia, Mucidosphaerium, Myxobaktron, Naiadinium, Navicula, Nephroselmis, Nitzschia, Ochromonas, Oocystis, Parapediastrum, Pediastrum, Peridinium, Phacus, Phormidium, Plagioselmis, Planktolyngbya, Planktothrix, Polygoniochloris, Pseudanabaena, Pyramichlamys, Pyramimonas, Quadrigula, Raphidiopsis, Rhodomonas, Rhopalodia, Scenedesmus, Schroederia, Selenastrum, Skeletonema, Snowella, Sphaerocystis, Sphaerospermopsis, Spirulina, Staurastrum, Staurodesmus, Stephanodiscus, Stichococcus, Stichogloea, Synechococcus, Synechocystis, Synedra, Teilingia, Tetraedron, Tetrastrum, Trachelomonas, Treubaria, Ulnaria, Ulothrix, Urosolenia, Woronichinia SPECIES Phytoplankton species name. PhycoTech, Inc. NA If the sample is not classified at this level it is indicated with NA. Distinct unknown species are indicated as sp. Producer defined Phytoplankton taxonomy species name, which is defined by one of the following 183 phytoplankton species: abundans, acicularis, acutus, aeruginosa, affinis, agardhii, alpinus, ambigua, amphibia, angustissima, angustissimum, aphanizomenoides, arcuatum, astigmata, atomus, augur, bacillaris, bicaudatus, bijuga, bilunaris, biradiatum, brachyceros, braunii, capricornutum, caudatum, cf danubiana, chlorelloides, ciliata, cinctum, circinale, circularis, cistula, citriformis, clavatum, construens, contorta, convolutus, crucifera, delicatissima, denticulatum, denticulatus, dissecta, dubius, duplex, ehrenbergianum, elachista, elenkenii, elongatus, erosa, eucompacta, falcatus, fallax, ferrophila, ferruginea, filiformis, flos-aquae, furcoides, genevensis, gibba, gigantica, glabrum, gracile, gracilis, granulata, griffithii, hakanssoniae, hantzschii, heteracanthum, hexacerum, hirundinella, holsatica, incerta, inconspicuum, incus, intermedia, irregularis, isothrix, issatschenkoi, judayi, koordersi, kuetzingianum, kuetzingii, lacustris, lemmermannii, leopoliensis, limnetica, limneticum, limneticus, linearis, litoralis, longiseta, lucens, lunaris, lunatus, macrosporum, medius, meneghiniana, microporum, microspira, minimum, minimus, minuta, minutissima, minutulus, minutum, minutus, moniliferum, muticum, muzzanensis, naegeliana, niagarae, nidulans, normanii, obesa, ocellata, olivacea, opoliensis, ovalis, ovalisporum, palea, parva, parvula, parvus, paucispina, pediculus, perminuta, placentula, planctonica, planctonicum, planctonicus, polonicum, potamos, pseudomicroporum, pseudostelligera, puella, pulchellum, punctata, pusilla, quadricauda, quadridens, quadriseta, raciborskii, radiata, regulare, reticulatum, salinum, scenedesmoides, schroeteri, semen, semipulcher, serians, serratus, setigera, simplex, smithii, sociabilis, sociale, sp. 1, sp. 2, sp. 3, sphaericum, spiralis, spiroides, splendidum, staurogeniaeforme, stelligera, styloides, subacicularis, subsalsa, subspicatus, subtilissima, tenera, tenuissima, tetrapedia, tholiformis, tropicalis, truncata, ulna, umbonatum, verrucosus, volvocina, vulgaris, warmingiana VARIETY Phytoplankton species variety. PhycoTech, Inc. NA If the sample does not have a variant associated it, is indicated with NA. Producer defined Phytoplankton taxonomy variety name, which is defined by one of the following 11 phytoplankton variety: acus, alternans, americana, carinatus, chaseana, echinulatum, incus, lineata, minor, nannoplanctica, vulgaris FORM Phytoplankton growth form. PhycoTech, Inc. NA If growth form is not specified, it is indicated with NA. Producer defined Phytoplankton growth form which is defined by the following two phytoplankton forms: consturens, venter. MORPH Notes about morphological features of individual organisms. Producer Defined NA If the morphology is not specified, it is indicated with NA. Producer defined Notes about morphological features of individual organisms. COLONIALITY Notes about the growth morphology of individual organisms. PhycoTech, Inc. NA If the coloniality is not specified, it is indicated with NA. Producer defined Notes about the growth morphology of individual organisms. COLONIALITY_STATE Organisms are classified as attached or free cells. PhycoTech, Inc. NA If the coloniality state is not specified, it is indicated with NA. Producer defined Organisms are classified as attached or free cells. STRUCTURE Organisms are classified as vegetative or monad. PhycoTech, Inc. Organisms are classified as vegetative or monad. PHYSIOLOGICAL_STATE Health status. PhycoTech, Inc. Health status. TAXONOMIC_AUTHORITY Name of the first taxonomist to name the specified organism. PhycoTech, Inc. NA If the taxonomic authority could not be determined or was not specified, it is indicated with NA. Producer defined Name of the first taxonomist to name the specified organism. AREA_PER_NATURAL_UNIT.UM2_PER_NU Area per natural unit examined in a sample; data are calculated raw values and are not rounded. PhycoTech, Inc. 1.131 17341591.4478 square micrometers per natural unit (um^2/NU) VOLUME_PER_NATURAL_UNIT.UM3_PER_NU Volume per natural unit exampled in a sample; data are calculated raw values and are not rounded. PhycoTech, Inc. 0.1131 90477868.4234 cubic micrometers per natural unit (um^3/NU) BIOVOLUME_PER_NATURAL_UNIT.UM3_PER_NU Biovolume per natural unit examined in a sample; data are calculated raw values and are not rounded. PhycoTech, Inc. 0.1131 90477868.4234 cubic micrometers per natural unit (um^3/NU) AVERAGE_CELLS_PER_NATURAL_UNIT Average number of cells per natural unit examined in a sample; data are calculated raw values and are not rounded. PhycoTech, Inc. 1 2500 cells per natural unit (Cells/NU) CONCENTRATION_NATURAL_UNIT_PER_ML Natural unit concentration per milliliter; data are calculated raw values and are not rounded. PhycoTech, Inc. 0.2556 206656.4315 natural units per milliliter (NU/mL) TOTAL_AREA_SQUARE_UM_PER_ML Total area of microscopic field examined per milliliter of sample; data are calculated raw values and are not rounded. PhycoTech, Inc. 192.3691 44330297.7932 square micrometers per milliliter (um^2/mL) TOTAL_VOLUME_CUBIC_UM_PER_ML Total volume (natural units colony attribute) of a specific taxon in a sample; data are calculated raw values and are not rounded. PhycoTech, Inc. 19.2369 452072061.3646 cubic micrometers per mL (um^3/mL) TOTAL_BIOVOLUME_CUBIC_UM_PER_ML The biovolume (living protoplasm biomass, cellular attribute) of a specific taxon in a sample; data are calculated raw values and are not rounded. PhycoTech, Inc. 1.8275 231288510.2258 cubic micrometers per mL (um^3/mL) ALGAL_CELL_CONCENTRATION.CELLS_PER_ML The number of cells per volume of a specific taxa; data are calculated raw values and are not rounded. PhycoTech, Inc. 0.2556 209250.8627 cells per milliliter (cells/mL) ALGAL_BIOMASS_CONCENTRATION.MG_PER_L Total algal biomass per liter (assumes a specific gravity of 1) of a specific taxon in a sample; data are calculated raw values and are not rounded. PhycoTech, Inc. 0.00000183 231.28851023 milligrams per liter (mg/L) AVERAGE_GALD.UM Greatest Axial Linear Dimension: data are calculated raw values and are not rounded. PhycoTech, Inc. 0.6 5600 micrometers (um) UNCERTAIN Identification uncertainty. PhycoTech, Inc. Identification uncertainty; true if less than 80 percent confidence in identification, otherwise false. ALTERNATE_TAXA_NAME Alternate taxonomic names. PhycoTech, Inc. NA No data. Producer defined Alternate taxonomic names. MEASUREMENT_NOTES Measurement notes specified by analyst for the identified organism. PhycoTech, Inc. NA NA indicates organisms with no specified notes. Producer defined Specific taxon notes provided by analyst. TALLY_NOTES Notes provided by analyst. PhycoTech, Inc. NA NA indicates a sample with no notes. Producer defined Specific sample notes made by analyst. SpectroradiometricData.csv Hyperspectral DN, white reference, and reflectance data for all the stations. Producer defined Producer defined original_file_name Alphanumeric description of each hyperspectral measurement file. Producer defined The hyperspectral file name structure is as follows: Lake_Date_Site_measurement number Waterbody Descriptive name of the waterbody sampled. Producer defined Grapevine Lake Grapevine Lake Producer defined Jim Chapman Lake Jim Chapman Lake Producer defined Lavon Lake Lavon Lake Producer defined Lake Lewisville Lake Lewisville Producer defined Ray Hubbard Lake Ray Hubbard Lake Producer defined Lake Tawakoni Lake Tawakoni Producer defined Site Descriptive name of each station. Producer defined Descriptive name of the station(s) associated with each waterbody. Date The date the samples were collected. Producer defined 01/08/2020 10/14/2020 Site_Visit_Time The time the samples were collected. Producer defined Time the sample was collected in CDT or CST in 24-hour time. Timezone Timezone in UTC for the waterbody sampled. Producer defined UTC-5, UTC-6 Descriptive name of the time zone that the sample was collected in with regard to time changes from CST to CDT. Producer defined Lat The angular distance north of the equator for the site location. Producer defined Latitudinal GPS coordinates in decimal degrees for the WGS 84 datum. Long The angular distance west of the Prime Meridian for the site location. Producer defined Longitudinal GPS coordinates in decimal degrees for the WGS 84 datum. Measurement_number A numeric identifier for the individual spectroscopic measurements at each site visit. Producer defined 1 10 1 Wavelength A numeric value of the spectral wavelength that was measured. Producer defined 325 1075 nanometers 1 DN A numeric value of the Digital Number recorded by the instrument. Producer defined -5.779 8054.219 unitless 0.001 WR A numeric value of the White Reflectance recorded by the instrument. Producer defined 0.0 61483.496 Unitless 0.001 Reflectance A numeric value of the calculated water surface Reflectance. Producer defined -0.023 0.173 Unitless 0.001 U.S. Geological Survey Oklahoma-Texas Water Science Center Public Information Officer mailing address

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Fort Worth Texas 76115 USA 346-814-7489 jsievers@usgs.gov FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata FGDC-STD-001.1-1999