Experimental coral-physiology data for Acropora palmata in Florida, U.S.A.

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Frequently anticipated questions:


What does this data set describe?

Title:
Experimental coral-physiology data for Acropora palmata in Florida, U.S.A.
Abstract:
The U.S. Geological Survey (USGS) Coral Reef Ecosystems Studies (CREST) project (https://coastal.er.usgs.gov/crest/) provides science that helps Department of Interior and other resource managers tasked with the stewardship of coral reef resources. This data release contains data on coral physiology of the elkhorn coral, Acropora palmata, grown at five sites along the Florida outer reef tract including in Biscayne National Park, the Florida Keys National Marine Sanctuary, and Dry Tortugas National Park, from summer 2017 to autumn 2020. The data will be used to inform resource managers of the capacity for restoration and growth of this important, habitat-forming species of coral within U.S. waters. Some datasets included here were interpreted in Chapron and others (2023b). Chapron, L., Kuffner, I.B., Kemp, D.W., Hulver, A.M., Keister, E.F., Stathakopoulos, A., Bartlett, L.A., Lyons, E.O., and Grottoli, A.G., 2023, Heterotrophy, microbiome, and location effects on restoration efficacy of the threatened coral Acropora palmata: Communications Earth and Environment, vol. 4, art. 233, https://doi.org/10.1038/s43247-023-00888-1.
Supplemental_Information:
Scientific research permits: The data herein were collected with permission from the National Park Service (NPS) and the Florida Keys National Marine Sanctuary (FKNMS) under permit numbers BISC-2018-SCI-0014, BISC-2019-SCI-0010, BISC-2020-SCI-0013, DRTO-2017-SCI-0001, DRTO-2019-SCI-0005, FKNMS-2016-085-A1 and FKNMS-2019-139-A1. To ensure that USGS-St. Petersburg data management protocols were followed, each survey when data were collected were assigned the following USGS field activity numbers (FANs): 2017-311-FA, 2017-352-FA, 2018-327-FA, 2018-359-FA, 2019-316-FA, 2019-367-FA, and 2020-307-FA. Additional survey and data details are available from the U.S. Geological Survey Coastal and Marine Geoscience Data System (CMGDS) at, https://cmgds.marine.usgs.gov/.
  1. How might this data set be cited?
    Chapron, Leila, Kuffner, Ilsa B., Keister, Elise F., Bartlett, Lucy A., and Grottoli, Andrea G., 20230717, Experimental coral-physiology data for Acropora palmata in Florida, U.S.A.:.

    This is part of the following larger work.

    Chapron, Leila, Kuffner, Ilsa B., Kemp, Dustin W., Hulver, Ann M., Keister, Elise F., Stathakopoulos, Anastasios, Bartlett, Lucy A., Lyons, Erin O., and Grottoli, Andrea G., 20230717, Experimental Coral-Physiology Data for Acropora palmata in Florida, USA: U.S. Geological Survey data release doi:10.5066/P9FIBAKX, U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center, St. Petersburg, Florida.

    Online Links:

    Other_Citation_Details: 2023a
  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -82.79883
    East_Bounding_Coordinate: -80.09560
    North_Bounding_Coordinate: 25.59047
    South_Bounding_Coordinate: 24.62687
  3. What does it look like?
  4. Does the data set describe conditions during a particular time period?
    Beginning_Date: Apr-2017
    Ending_Date: Nov-2020
    Currentness_Reference:
    ground condition
  5. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: tabular digital data
  6. How does the data set represent geographic features?
    1. How are geographic features stored in the data set?
      This is a Point data set. It contains the following vector data types (SDTS terminology):
      • Point (41)
    2. What coordinate system is used to represent geographic features?
      Horizontal positions are specified in geographic coordinates, that is, latitude and longitude. Latitudes are given to the nearest 0.000000001. Longitudes are given to the nearest 0.000000001. Latitude and longitude values are specified in Decimal Degrees. The horizontal datum used is WGS_1984.
      The ellipsoid used is WGS_84.
      The semi-major axis of the ellipsoid used is 6378137.0.
      The flattening of the ellipsoid used is 1/298.257223563.
  7. How does the data set describe geographic features?
    Palmata_physiology_FL_USA.csv, Palmata_physiology_FL_USA.xlsx
    These files contain attribute information for data describing the physiology of corals of the species Acropora palmata, which were obtained from the Coral Restoration Foundation (Key Largo, Florida) and grown at five study sites on the Florida Keys reef tract. Corals were deployed in Spring of 2018 and samples extracted in Autumn 2020. Data include location information, sample identifiers, tissue biomass, endosymbiont density, chlorophyll a, isotopic analyses, and lipid analyses. The data is available as a comma-separated values (.csv) file and a Microsoft Excel (.xlsx) file. Missing values are marked “NA” for “no analyses,” as measurements for these variables were not possible because of insufficient coral tissue available for analysis. (Source: USGS)
    Location
    A textual identifier of the site, assigned by locations where corals were deployed and named by USGS personnel. (Source: USGS)
    ValueDefinition
    Pulaski WestCorals were deployed at Pulaski West (12 feet of seawater [fsw]), in Dry Tortugas National Park, Florida.
    Pulaski LightCorals were deployed at Pulaski Light (16 fsw), in Dry Tortugas National Park, Florida.
    Sombrero ReefCorals were deployed at Sombrero Reef (14 fsw), in the Sanctuary Preservation Area of the FKNMS, Florida.
    Crocker ReefCorals were deployed at Crocker Reef (13 fsw), in the FKNMS, Florida.
    Fowey RocksCorals were deployed at Fowey Rocks (13 fsw), in Biscayne National Park, Florida.
    Latitude
    Latitudinal coordinate (in the World Geodetic System of 1984 [WGS 84] coordinate system) of the site locations where corals were deployed by USGS personnel. (Source: USGS)
    Range of values
    Minimum:24.62687
    Maximum:25.59047
    Units:decimal degrees
    Longitude
    Longitudinal coordinate (in the WGS 84 coordinate system) of the site locations where corals were deployed by USGS personnel. (Source: USGS)
    Range of values
    Minimum:-82.79883
    Maximum:-80.09560
    Units:decimal degrees
    Coral_Genet
    A textual identifier for each genetic strain (genet) of elkhorn coral in the study, as assigned by Coral Reef Foundation (Key Largo, FL) personnel, or the USGS (Dry Tortugas genet only). This identifier is based upon the collection location of the original colony from which samples were taken and placed into nursery propagation. The two-letter site abbreviations are "DT" indicates Dry Tortugas, "CN" indicates Conch Reef, "SN" indicates Snapper Ledge, "CF" indicates Carysfort Reef, "HS" indicates Horseshoe Reef, and "ML" indicates Molasses Reef. The collection locations of these colonies are detailed in Figure 1 from Kuffner and others (2020a). (Source: USGS) A textual description of the geographic site where the original coral genets were collected by the Coral Restoration Foundation (not the site where the fragments were deployed).
    Coral_ID
    A numeric identifier for each coral colony in the study, assigned by USGS personnel. (Source: USGS) Non-sequential, increasing numerical identifiers ranging between 13 and 558.
    Biomass_mg_cm2
    Tissue biomass was measured using methods described by Mclachlan and others (2020a). (Source: Ohio State University (OSU))
    Range of values
    Minimum:2.56
    Maximum:13.76
    Units:milligrams per square centimeter
    Total_lipids_kJ_gdw
    Total lipids extracted using a chloroform:methanol solution following established methods of Bradford (1976). The energetic value of total lipids concentration was reported in kilojoules (kJ) (Gnaiger and Bitterlich, 1984) and standardized to ash-free dry weight of the coral tissue. (Source: OSU)
    Range of values
    Minimum:2.25
    Maximum:12.89
    Units:kilojoules per grams of ash-free dry weight of coral tissue
    Total_Protein_J_gdw
    Total proteins extracted using the Bio-Rad protein assay solution following established methods of Mclachlan and others, (2020c) and standardized to ash-free dry weight of the coral tissue. (Source: OSU)
    Range of values
    Minimum:24.73
    Maximum:69.81
    Units:joules per grams of ash-free dry weight of coral tissue
    Symbiodiniaceae_cells_cm2
    Endosymbiont density measured using four replicated counts on a Countess II FL Automated Cell Counter (Mclachlan and others, 2020b) and standardized to surface area based on its proportional representation of the tissue biomass. (Source: OSU)
    Range of values
    Minimum:593779
    Maximum:4400303
    Units:cells per square centimeter of coral skeleton
    Chl_a_ug_cm2
    Chlorophyll a was extracted using a double 100% acetone extraction and quantified with a spectrophotometer using the equation from Jeffrey and Humphrey (1975) and standardized to surface area based on its proportional representation of the tissue biomass. (Source: OSU)
    Range of values
    Minimum:184.31
    Maximum:2038.29
    Units:micrograms per square centimeter of coral skeleton
    d13C_endo_ppt
    The carbon isotopic composition of the algal endosymbiont (δ13Ce) reported as the per mil deviation of the stable isotopes 13C:12C relative to Vienna-Peedee Belemnite Limestone Standard (v-PDB). Repeated measurements of internal standards had a standard deviation of ±0.2‰ for δ13C. (Source: OSU)
    Range of values
    Minimum:-23.25
    Maximum:-10.36
    Units:per mil deviation of the stable isotopes 13C:12C relative to Vienna-Peedee Belemnite Limestone Standard (v-PDB)
    d15N_endo_ppt
    The nitrogen isotopic composition of the algal endosymbiont (δ15Ne) reported as the per mil deviation of the stable isotopes 15N:14N relative to air. Repeated measurements of internal standards had a standard deviation of ±0.23‰ for δ15N. (Source: OSU)
    Range of values
    Minimum:1.09
    Maximum:3.73
    Units:per mil deviation of the stable isotopes 15N:14N relative to air
    d13C_host_ppt
    The carbon isotopic composition of the animal host (δ13Ch) reported as the per mil deviation of the stable isotopes 13C:12C relative to Vienna-Peedee Belemnite Limestone Standard (v-PDB). Repeated measurements of internal standards had a standard deviation of ±0.2‰ δ13C. (Source: OSU)
    Range of values
    Minimum:-18.85
    Maximum:-14.63
    Units:per mil deviation of the stable isotopes 13C:12C relative to Vienna-Peedee Belemnite Limestone Standard (v-PDB)
    d15N_host_ppt
    The nitrogen isotopic composition of the animal host (δ15Nh) reported as the per mil deviation of the stable isotopes 15N:14N relative to air. Repeated measurements of internal standards had a standard deviation of ±0.23‰ for δ15N. (Source: OSU)
    Range of values
    Minimum:2.32
    Maximum:4.16
    Units:per mil deviation of the stable isotopes 15N:14N relative to air
    Wax_mg_gdw
    Wax esters in milligrams per gram of ash-free dry weight of coral tissue (Source: OSU)
    Range of values
    Minimum:5.83
    Maximum:590.09
    Units:milligrams per gram of ash-free dry weight of coral tissue
    TAG_mg_gdw
    Triacylglycerol in milligrams per gram of ash-free dry weight of coral tissue (Source: OSU)
    Range of values
    Minimum:1.76
    Maximum:24.05
    Units:milligrams per gram of ash-free dry weight of coral tissue
    Sterol_mg_gdw
    Sterols in milligrams per gram of ash-free dry weight of coral tissue (Source: OSU)
    Range of values
    Minimum:2.57
    Maximum:20.76
    Units:milligrams per gram of ash-free dry weight of coral tissue
    AMPL_mg_gdw
    Acetone mobile polar lipids (AMPL) in milligrams per gram of ash-free dry weight of coral tissue (Source: OSU)
    Range of values
    Minimum:0.17
    Maximum:5.94
    Units:milligrams per gram of ash-free dry weight of coral tissue
    Phospholip_mg_gdw
    Phospholipids in milligrams per gram of ash-free dry weight of coral tissue (Source: OSU)
    Range of values
    Minimum:14.83
    Maximum:150.78
    Units:milligrams per gram of ash-free dry weight of coral tissue

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
    • Leila Chapron
    • Ilsa B. Kuffner
    • Elise F. Keister
    • Lucy A. Bartlett
    • Andrea G. Grottoli
  2. Who also contributed to the data set?
    Acknowledgment of Ilsa B. Kuffner and the U.S. Geological Survey as data sources would be appreciated in products developed from these data, and such acknowledgment as is standard for citation and legal practices for data source is expected.
  3. To whom should users address questions about the data?
    Ilsa B. Kuffner
    U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center
    Research Marine Biologist
    600 4th Street South
    St. Petersburg, FL
    U.S.A.

    727-502-8048 (voice)
    ikuffner@usgs.gov

Why was the data set created?

These data were obtained to directly quantify a suite of coral physiological variables in surviving Acropora palmata corals from Kuffner and others (2020a) on the Florida Keys reef tract and Dry Tortugas National Park. The data will be used to inform resource managers of the capacity for future restoration and growth of this species on Florida Keys reefs to guide coral-reef ecosystem and species-recovery plans.

How was the data set created?

  1. From what previous works were the data drawn?
  2. How were the data generated, processed, and modified?
    Date: 2020 (process 1 of 4)
    Coral collection and experimental design- Acropora palmata genets were originally sourced from different upper Florida Keys reefs by the Coral Restoration Foundation (CRF) prior to being cultivated in CRF’s offshore coral nurseries. The forty-one corals sampled in the study were replicates (ramets) from six unique genets (CF4, CN2, HS1, ML2, SN1, and DT1), which were mounted on labeled Polyvinyl chloride (PVC discs), buoyantly weighed (Jokiel and others, 1978), and deployed on fixed, concrete stations at five USGS calcification-assessment-network sites along the Florida Keys reef tract (Morrison and others, 2013). These sites, from west to east, were Pulaski West and Pulaski Light in Dry Tortugas National Park, Sombrero Reef and Crocker Reef in the Florida Keys National Marine Sanctuary, and Fowey Rocks in Biscayne National Park. Thirty-five surviving ramets from an assisted-migration experiment initiated in Spring of 2018 (Kuffner and others 2020b) were sampled after the end of that study in the Autumn of 2020. To increase sample size, six additional ramets were sampled at that time (from three of the same CRF-nursery genets) that had been deployed at Crocker Reef in 2017, for a discontinued experiment that was interrupted by Hurricane Irma. Generally, n = 2 ramets from each of the five upper Florida Keys genets were placed at each of the five sites, and an additional n = 2 ramets from the Dry Tortugas genet (DT1) were placed at the two Dry Tortugas sites. Ramets sourced from the Dry Tortugas genet were not reciprocally transplanted to the main Florida Keys sites because of permitting and logistical restrictions. As part of the assisted-migration study, calcification rates, linear extension, and planar area of the translocated corals were measured every six months from May 2018 to October 2019 and are reported elsewhere (Kuffner and others, 2020a; 2020b). Person who carried out this activity:
    Ilsa B. Kuffner
    Southeast Region
    Research Marine Biologist
    600 4th Street South
    St. Petersburg, FL
    United States

    727-502-8048 (voice)
    ikuffner@usgs.gov
    Date: 2021 (process 2 of 4)
    Tissue biomass, endosymbiont density, chlorophyll a, and energy reserves- The surface area of the ramet section designated for physiological analyses was determined using the aluminum foil method (Marsh, 1970). Then, ground to a homogeneous paste (skeleton, host, and endosymbiont) and divided into 5 sub-samples, each used for individual physiological analysis. Tissue biomass was measured using methods described by Mclachlan and others (2020a). Endosymbiont density was measured using 4 replicated counts on a Countesso II FL Automated Cell Counter (Mclachlan and others, 2020b). Chlorophyll a was extracted using a double 100% acetone extraction and quantified with a spectrophotometer using the equation from Jeffrey and Humphrey (1975). Tissue biomass, endosymbiont density, and chlorophyll a were standardized to surface area based on the proportional representation of each of their respective sub-samples. Total lipids were extracted using a chloroform:methanol solution and proteins were extracted using the Bio-Rad© protein assay solution following established methods of Mclachlan and others, (2020c) and Bradford (1976), respectively. The energetic value of total lipids and proteins concentrations were reported in Joules (Gnaiger and Bitterlich, 1984), and standardized to ash-free dry weight of the coral tissue. Person who carried out this activity:
    Andréa G. Grottoli
    The Ohio State University
    Professor of Earth Sciences
    275 Mendenhall Laboratory, 125 South Oval Mall
    Columbus, OH
    United States

    614-292-5782 (voice)
    grottoli.1@osu.edu
    Date: 2021 (process 3 of 4)
    Stable isotopic analysis- Isotopic analyses were assessed on separated animal host and algal endosymbiont fractions using methods described in Price and others, (2020). From the ramet section designated for isotopic analyses, between 4 to 8 square centimeters (cm2) of coral tissue was removed using an airbrush, and the host and endosymbiont fractions were separated by centrifugation and filtration. Each sample was individually combusted using a PDZ Europa ANCA-GSL element analyzer interfaced to a PDZ Europa 20-20 isotope ratio mass spectrometer (Sercon Ltd., Cheschier, UK) at the University of California Davis Stable Isotope Facility. The carbon (C) and nitrogen (N) isotopic composition of the animal host (δ13Ch, δ15Nh) and algal endosymbiont (δ13Ce, δ15Ne) were reported as the per mil deviation of the stable isotopes 13C:12C relative to Vienna-Peedee Belemnite Limestone Standard (v-PDB) and 15N:14N relative to air, respectively. Repeated measurements of internal standards had a standard deviation of ±0.2‰ and ±0.23‰ for δ13C and δ15N, respectively. The difference between δ13Ch and δ13Ce (δ13C-e) and the δ15Nh and δ15Ne (δ15N-e) both represent the relative contribution of photoautotrophic versus heterotrophic carbon to coral tissues (Price and others, 2021; Rodrigues and Grottoli, 2006). Person who carried out this activity:
    Andréa G. Grottoli
    The Ohio State University
    Professor of Earth Sciences
    275 Mendenhall Laboratory, 125 South Oval Mall
    Columbus, OH
    United States

    614-292-5782 (voice)
    grottoli.1@osu.edu
    Date: 2021 (process 4 of 4)
    Lipid class analyses- The total lipids were dried under nitrogen gas over a water bath at 55 degrees Celsius (°C). The vials containing the dried total lipids were frozen at -80°C and transported on dry ice to the University of Alabama in Birmingham for lipid class analysis. The dried total lipids were resuspended in 100% chloroform at a concentration of 10 milligrams per milliliter (mg/mL). Lipid class composition was analyzed by an Iatroscan MK 6S thin layer flame ionization detector (NTS) according to the methods modified from Conlan and others, (2014). Briefly, 1 microliter (µL) of the solution, in duplicate, was spotted onto each thin layer quartz-impregnated rod (Chromarods Mitsubishi Kagaku Iatron, Inc.) of the Iatroscan rack using a metal and glass syringe. The rack, containing ten loaded rods was placed in the first closed development chamber containing 50:20:1 (v:v:v) chloroform:methanol:Milli-Q and developed to half height (~7 minutes). The rack was then dried for two minutes at room temperature and transferred to the second closed development chamber containing 57:14.2:1.4 (v:v:v) hexane:ethyl ether:formic acid and developed to full height (~17 minutes). The rack of rods was dried in the oven at 100°C for 10 minutes prior to being scanned, using flame ionization detection with an Iastroscan MK 6S detector (Air pressure at 2, Hydrogen flow at 165 mL/minute). The amount of each lipid class (wax esters, triacylglycerol, sterols, acetone mobile polar lipids, and phospholipids) on each rod was determined by comparison to a standard curve produced from 1 microliter (µL) standards of known concentrations for each lipid class, ranging from 0.078 mg/mL to 10 mg/mL. Each lipid class concentration was normalized to the amount of total lipid initially extracted and standardized to ash-free dry weight for each sample. Each sample was run in duplicate, and the results of the duplicate runs averaged to produce one lipid class value for each coral ramet sample. Person who carried out this activity:
    Andréa G. Grottoli
    The Ohio State University
    Professor of Earth Sciences
    275 Mendenhall Laboratory, 125 South Oval Mall
    Columbus, OH
    United States

    614-292-5782 (voice)
    grottoli.1@osu.edu
  3. What similar or related data should the user be aware of?
    Chapron, L., Kuffner, I.B., Kemp, D.W., Hulver, A.M., Keister, E.F., Stathakopoulos, A., Bartlett, L.A., Lyons, E.O., and Grottoli, A.G., 20230717, Heterotrophy, microbiome, and location effects on restoration efficacy of the threatened coral Acropora palmata: Nature: Communications Earth and Environment, Online.

    Online Links:

    Other_Citation_Details: 2023b
    Jokiel, P.L., Maragos, J.E., and Franzisket, L., 1978, Coral growth: buoyant weight technique: Coral Reefs: Research Methods, Paris, France.

    Other_Citation_Details: Editors Stoddart, D.R., and Johannes, R.E., pages 529-541
    Morrison, J.M., Kuffner, I.B., and Hickey, T.D., 2013, Methods for monitoring corals and crustose coralline algae to quantify in-situ calcification rates: U.S. Geological Survey Open-File Report 2013-1159, U.S. Geological Survey, Reston, Virginia.

    Online Links:

    Other_Citation_Details: 11 pages
    Kuffner, I.B., Stathakopoulos, A., Toth, L.T., and Bartlett, L.A., 20201217, Reestablishing a stepping-stone population of the threatened elkhorn coral Acropora palmata to aid regional recovery: Endangered Species Research, Germany.

    Online Links:

    Other_Citation_Details: 2020a, Volume 43, pages 461-473
    Kuffner, I.B., Stathakopolous, A., Toth, L.T., and Bartlett L.A., 20201013, Experimental coral-growth data and time-series imagery for Acropora palmata in the Florida Keys, U.S.A.: U.S. Geological Survey data release doi:10.5066/P9KZEGXY, U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center, St. Petersburg, Florida.

    Online Links:

    Other_Citation_Details: 2020b
    Marsh, J.A. Jr., 19700301, Primary productivity of reef-building calcareous red algae: Ecology, Washington, D.C..

    Online Links:

    Other_Citation_Details: Volume 51, Issue 2, pages 255-263
    Mclachlan, R., Dobson, K., and Grottoli, A.G., 20200422, Quantification of total biomass in ground coral samples v1: protocols.io, Online.

    Online Links:

    Other_Citation_Details: 2020a
    Mclachlan, R., Juracka, C., and Grottoli, A.G., 20200316, Symbiodiniaceae enumeration in ground coral samples Using CountessTM II FL Automated Cell Counter v1: protocols.io, Online.

    Online Links:

    Other_Citation_Details: 2020b
    Mclachlan, R., Munoz-Garcia, A., and Grottoli, A.G., 20200313, Primary extraction of total soluble lipid from ground coral samples v1: protocols.io, Online.

    Online Links:

    Other_Citation_Details: 2020c
    Jeffrey, S.T., and Humphrey, G.F., 1975, New spectrophotometric equations for determining chlorophylls a, b, c1 and c2 in higher plants, algae and natural phytoplankton: Biochemie und Physiologie der Pflanzen, ScienceDirect.

    Online Links:

    Other_Citation_Details: Volume 167, Issue 2, pages 191-194
    Bradford, M.M., 19760129, A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding: Analytical Biochemistry, Amsterdam, Netherlands.

    Online Links:

    Other_Citation_Details: Volume 72, Issues 1-2, pages 248-254
    Gnaiger, E., and Bitterlich, G., 198406, Proximate biochemical composition and caloric content calculated from elemental CHN analysis: a stoichiometric concept: Oecologia, Berlin, Germany.

    Online Links:

    Other_Citation_Details: Volume 62, pages 289-298
    Price, J., Smith, A., Dobson, K., and Grottoli, A.G., 20200709, Airbrushed coral sample preparation for organic stable carbon and nitrogen isotope analyses v1: protocols.io, Online.

    Online Links:

    Price, J.T., McLachlan, R.H., Jury, C.P., Toonen, R.J., and Grottoli, A.G., 20210506, Isotopic approaches to estimating the contribution of heterotrophic sources to Hawaiian corals: Limnology and Oceanography, Online.

    Online Links:

    Other_Citation_Details: Volume 66, Issue 6, pages 2393–2407
    Rodrigues, L.J., and Grottoli, A.G., 20060601, Calcification rate and the stable carbon, oxygen, and nitrogen isotopes in the skeleton, host tissue, and zooxanthellae of bleached and recovering Hawaiian corals: Geochimica et Cosmochimica Acta, Amsterdam, Netherlands.

    Online Links:

    Other_Citation_Details: Volume 70, Issue 11, pages 2781–2789
    Conlan, J.A., Jones, P.L., Turchini, G.M., Hall, M.R., and Francis, D.S., 20141020, Changes in the nutritional composition of captive early-mid stage Panulirus ornatus phyllosoma over ecdysis and larval development: Aquaculture, Amsterdam, Netherlands.

    Online Links:

    Other_Citation_Details: Volume 434, pages 159-170

How reliable are the data; what problems remain in the data set?

  1. How well have the observations been checked?
    No formal attribute accuracy tests were conducted.
  2. How accurate are the geographic locations?
    No formal positional accuracy tests were conducted.
  3. How accurate are the heights or depths?
    No formal positional accuracy tests were conducted.
  4. Where are the gaps in the data? What is missing?
    Dataset is considered complete for the information presented, as described in the abstract. Missing values are marked “NA” for “no analyses,” as measurements for these variables were not possible because of insufficient coral tissue available for analysis.
  5. How consistent are the relationships among the observations, including topology?
    No formal logical accuracy tests were conducted.

How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?
Access_Constraints None
Use_Constraints Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. The U.S. Geological Survey requests to be acknowledged as originator of these data in future products or derivative research.
  1. Who distributes the data set? (Distributor 1 of 1)
    Ilsa B. Kuffner
    U.S. Geological Survey
    600 4th Street South
    Saint Petersburg, FL
    U.S.A.

    727-502-8048 (voice)
    ikuffner@usgs.gov
  2. What's the catalog number I need to order this data set?
  3. What legal disclaimers am I supposed to read?
    This publication was prepared by an agency of the United States Government. Although these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, nor shall the act of distribution imply any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and (or) contained herein. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof.
  4. How can I download or order the data?

Who wrote the metadata?

Dates:
Last modified: 17-Jul-2023
Metadata author:
Ilsa B. Kuffner
U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center
Research Marine Biologist
600 4th Street South
St. Petersburg, FL
U.S.A.

727-502-8048 (voice)
ikuffner@usgs.gov
Metadata standard:
Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998)

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