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Dataset: Alkalinity, Salinity, Bivalve Biomass, Streamflow and, Submerged Aquatic Vegetation in Tidal Tributaries of the Chesapeake Bay from 1984 to 2018.
Final no updates expectedDOI: 10.26008/1912/bco-dmo.887278.1Version 1 (2023-02-17)Dataset Type:model results
netcdf nontidal_data_whole {
dimensions:
rows = 3360 ;
nchar8 = 8 ;
nchar10 = 10 ;
variables:
char trib(nchar8, rows) ;
trib:units = "N/A" ;
trib:long_name = "tributary of the USGS gauging station location, see Table S4 of the manuscript" ;
trib:abbreviations = "ntn=non-tidal network, SUSQ=Susquehanna, PATX=Patuxent, POTM=Potomac, RAPP=Rappahannock, YORKM=Mattaponi tributary of York, YORKP=Pamunkey tributary of York, YORK=flow-weighted average of YORKM and YORKP, JAMS=James" ;
double daten(rows) ;
daten:units = "decimal_days" ;
daten:long_name = "number of days from January 0, 0000" ;
char dates(nchar10, rows) ;
dates:units = "N/A" ;
dates:long_name = "date string in the form YYYY-MM-DD" ;
double flow(rows) ;
flow:units = "m3/s" ;
flow:long_name = "monthly average streamflow" ;
flow:comment = "calculated as the arithmetic average of daily streamflow" ;
double alk(rows) ;
alk:units = "mol/m3" ;
alk:long_name = "monthly mean alkalinity concentration" ;
alk:comment = "calculated as the arithmetic average of daily alkalinity concentration" ;
double ealk(rows) ;
ealk:units = "mol/m3" ;
ealk:long_name = "effective monthly mean alkalinity concentration" ;
ealk:comment = "the daily fluxes were summed for each month to get monthly fluxes and then an effective monthly mean alkalinity concentration was determined by dividing the monthly alkalinity flux by the monthly streamflow" ;
double alknitr(rows) ;
alknitr:units = "mol/m3" ;
alknitr:long_name = "nitrogenous monthly mean alkalinity concentration" ;
alknitr:comment = "calculated as NH4-NO3-NO2, see sections 2.1 and 2.2. of the manuscript" ;
// global attributes:
:date_created = "22-Nov-2019" ;
:creator = "Maria Herrmann, mxh367@psu.edu" ;
:manuscript = "Alkalinity in Tidal Tributaries of the Chesapeake Bay, Journal of Geophysical Research - Oceans" ;
:dataset_description = "non-tidal whole processed dataset, see Supplement Text S2 of the manuscript" ;
:missing_data_code = "NaN" ;
}
netcdf nontidal_data_reduced {
dimensions:
rows = 708 ;
nchar8 = 8 ;
nchar10 = 10 ;
variables:
char trib(nchar8, rows) ;
trib:units = "N/A" ;
trib:long_name = "tributary where USGS gauging station is located, see Table S4 of the manuscript" ;
trib:abbreviations = "ntn=non-tidal network, SUSQ=Susquehanna, PATX=Patuxent, POTM=Potomac, RAPP=Rappahannock, YORKM=Mattaponi tributary of York, YORKP=Pamunkey tributary of York, YORK=flow-weighted average of YORKM and YORKP, JAMS=James" ;
double daten(rows) ;
daten:units = "decimal_days" ;
daten:long_name = "number of days from January 0, 0000" ;
char dates(nchar10, rows) ;
dates:units = "N/A" ;
dates:long_name = "date string in the form YYYY-MM-DD" ;
double flow(rows) ;
flow:units = "m3/s" ;
flow:long_name = "monthly average streamflow" ;
flow:comment = "calculated as the arithmetic average of daily streamflow" ;
double alk(rows) ;
alk:units = "mol/m3" ;
alk:long_name = "monthly mean alkalinity concentration" ;
alk:comment = "calculated as the arithmetic average of daily alkalinity concentration" ;
double ealk(rows) ;
ealk:units = "mol/m3" ;
ealk:long_name = "effective monthly mean alkalinity concentration" ;
ealk:comment = "the daily fluxes were summed for each month to get monthly fluxes and then an effective monthly mean alkalinity concentration was determined by dividing the monthly alkalinity flux by the monthly streamflow" ;
double alknitr(rows) ;
alknitr:units = "mol/m3" ;
alknitr:long_name = "nitrogenous monthly mean alkalinity concentration" ;
alknitr:comment = "calculated as NH4-NO3-NO2, see sections 2.1 and 2.2. of the manuscript" ;
// global attributes:
:date_created = "22-Nov-2019" ;
:creator = "Maria Herrmann, mxh367@psu.edu" ;
:manuscript = "Alkalinity in Tidal Tributaries of the Chesapeake Bay, Journal of Geophysical Research - Oceans" ;
:dataset_description = "non-tidal reduced dataset, see Supplement Text S2 of the manuscript" ;
:missing_data_code = "NaN" ;
}
netcdf bivalve_data_random {
dimensions:
rows = 42 ;
variables:
double years(rows) ;
years:units = "N/A" ;
years:long_name = "year" ;
double box_id(rows) ;
box_id:units = "N/A" ;
box_id:long_name = "box ID: Box1=tidal-fresh region, Box2=oligohaline region" ;
double biomass_mean(rows) ;
biomass_mean:units = "g/m2" ;
biomass_mean:long_name = "bivalve biomass per unit area, average of all samples in a given box and year" ;
double biomass_ste(rows) ;
biomass_ste:units = "g/m2" ;
biomass_ste:long_name = "bivalve biomass per unit area, standard error of the mean of all samples in a given box and year" ;
double nsamp(rows) ;
nsamp:units = "count" ;
nsamp:long_name = "number of all samples in a given box and year" ;
// global attributes:
:date_created = "25-Nov-2019" ;
:creator = "Maria Herrmann, mxh367@psu.edu" ;
:manuscript = "Alkalinity in Tidal Tributaries of the Chesapeake Bay, Journal of Geophysical Research - Oceans" ;
:dataset_description = "organic bivavle biomass per unit area of bottom at random sampling stations in Box 1 and Box 2, see Supplement Text S4 of the manuscript" ;
:missing_data_code = "NaN" ;
}
dimensions:
rows = 64 ;
variables:
double years(rows) ;
years:units = "N/A" ;
years:long_name = "year" ;
double sta(rows) ;
sta:units = "N/A" ;
sta:long_name = "station" ;
double biomass_mean(rows) ;
biomass_mean:units = "g/m2" ;
biomass_mean:long_name = "bivalve biomass per unit area, mean of all samples (including replicates) in a given year" ;
double biomass_ste(rows) ;
biomass_ste:units = "g/m2" ;
biomass_ste:long_name = "bivalve biomass per unit area, standard error of the mean of all samples (including replicates) in a given year" ;
double nsamp(rows) ;
nsamp:units = "count" ;
nsamp:long_name = "number of all samples (including replicates) in a given year" ;
// global attributes:
:date_created = "25-Nov-2019" ;
:creator = "Maria Herrmann, mxh367@psu.edu" ;
:manuscript = "Alkalinity in Tidal Tributaries of the Chesapeake Bay, Journal of Geophysical Research - Oceans" ;
:dataset_description = "organic bivavle biomass per unit area of bottom at fixed sampling stations 36 and 40, see Supplement Text S4 of the manuscript" ;
:missing_data_code = "NaN" ;
}
This research was supported with funding from the National Science Foundation's Chemical Oceanography Program (OCE‐1536996 and OCE‐ 1537013) and Research Experiences for Undergraduates (REU) Program (AGS‐1560339, Penn State REU in Climate Science, supporting S. Cintrón Del Valle). Additional support was provided by NASA through Grants NNX14AM37G and NNX14AF93G.
The data are
(1) alkalinity and salinity in the tidal tributaries of the Chesapeake Bay,
(2) alkalinity and streamflow in the Chesapeake Bay watershed,
(3) bivalve biomass data in the Potomac River Estuary, and
(4) submerged aquatic vegetation (SAV) area in the Potomac River Estuary.
The data are in the form of nine netCDF files:
bivalve_data_fixed.nc: bivalve biomass at fixed stations 36 and 40 in the Potomac River Estuary
bivalve_data_random.nc: bivalve biomass at the random stations in Boxes 1 and 2 of the Potomac River Estuary
nontidal_data_reduced.nc: alkalinity and streamflow data at non-tidal stations, reduced dataset
nontidal_data_whole.nc: alkalinity and streamflow data at non-tidal stations, whole processed dataset
nontidal_station_list.nc: geolocation of non-tidal stations
sav_data.nc: areal extent of SAV coverage in Box 1 and 2
tidal_data_reduced.nc: alkalinity and salinity data at tidal stations, reduced dataset
tidal_data_whole.nc: alkalinity and salinity data at tidal stations, whole procesed dataset
tidal_station_list.nc: geolocation of tidal stations
Please see netCDF attributes for each file for parameter names, descriptions, and units
The data were not collected by the authors but rather derived from the Chesapeake Bay Program's (CBP's) Water Quality Database, United States Geological Survey (USGS) monitoring data, and Virginia Institute of Marine Science (VIMS) long-term aerial imagery monitoring dataset for the Chesapeake Bay (see related datasets).
Chesapeake Bay Data Hub, Water Quality and calculated physical and nutrient parameters accessed [], at URL https://data.chesapeakebay.net/WaterQuality]
Orth, R. J.; Wilcox, David J.; Whiting, Jennifer R.; Kenne, Anna K.; and Smith, Erica R., "Section: 01 Line Frame: 01 Aug27-17: Aerial Imagery Acquired to Monitor the Distribution and Abundance of Submerged Aquatic Vegetation in Chesapeake Bay and Coastal Bays" (2018). Data. William & Mary. https://scholarworks.wm.edu/data/156
U.S. Geological Survey, 2001, National Water Information System data available on the World Wide Web (Water Data for the Nation), accessed [], at URL [http://waterdata.usgs.gov/nwis/].
Raymond G. Najjar, Maria Herrmann, Sebastian M. Cintron Del Valle, Jaclyn R. Friedman, Marjorie A. M. Friedrichs, Lora A. Harris, Elizabeth H. Shadwick, Edward G. Stets, & Ryan J. Woodland. (2020). <i>Dataset for "Alkalinity in Tidal Tributaries of the Chesapeake Bay"</i> [Data set]. scholarsphere. https://doi.org/10.26207/W1VS-JZ06
Related Publications
Results
Najjar, R. G., Herrmann, M., Cintrón Del Valle, S. M., Friedman, J. R., Friedrichs, M. A. M., Harris, L. A., Shadwick, E. H., Stets, E. G., & Woodland, R. J. (2020). Alkalinity in Tidal Tributaries of the Chesapeake Bay. Journal of Geophysical Research: Oceans, 125(1). Portico. https://doi.org/10.1029/2019jc015597
Methods
Chauvaud, L., Thompson, J. K., Cloern, J. E., & Thouzeau, G. (2003). Clams as CO2
generators: The Potamocorbula amurensis
example in San Francisco Bay. Limnology and Oceanography, 48(6), 2086–2092. Portico. https://doi.org/10.4319/lo.2003.48.6.2086
Methods
Chesapeake Bay Program (1996). Recommended guidelines for sampling and analyses in the Chesapeake Bay Monitoring Program:U.S. Environmental Protection Agency.
Methods
Chesapeake Bay Program (2012). Guide to using Chesapeake Bay Program water quality monitoring data. Annapolis, MD: Chesapeake Bay Program.
Methods
Hirsch, R. M., Moyer, D. L., & Archfield, S. A. (2010). Weighted Regressions on Time, Discharge, and Season (WRTDS), with an Application to Chesapeake Bay River Inputs1. JAWRA Journal of the American Water Resources Association, 46(5), 857–880. https://doi.org/10.1111/j.1752-1688.2010.00482.x
Najjar, R., Hermann, M., Cintron, S., Friedman, J. R., Friedrichs, M. A., Harris, L. A., Shadwick, E., Stets, E. G., Woodland, R. J. (2023) Alkalinity, Salinity, Bivalve Biomass, Streamflow and, Submerged Aquatic Vegetation in Tidal Tributaries of the Chesapeake Bay from 1984 to 2018.. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-02-17 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.887278.1 [access date]
If you wish to use this dataset, it is highly recommended that you contact the original principal investigators (PI). Should the relevant PI be unavailable, please contact BCO-DMO (info@bco-dmo.org) for additional guidance. For general guidance please see the BCO-DMO Terms of Use document.