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Dataset Title:  Dissolved inorganic nitrogen, chlorophyll-a, and primary production from
bioassay experiments during the R/V Hugh R. Sharp cruise HRS1414 in the Mid and
South-Atlantic Bight in August of 2014 (DANCE project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_734364)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 experiment (unitless) ?          1    3
 treatment (unitless) ?          "C"    "start"
 time2 (Time, hours) ?          0.0    67.35
 mean_NO3_NO2 (micromoles per liter (umol/L)) ?          0.08    2.64
 SD_NO3_NO2 (micromoles per liter (umol/L)) ?          0.0    0.15
 mean_NH4 (micromoles per liter (umol/L)) ?          "0.01"    "NR"
 SD_NH4 (micromoles per liter (umol/L)) ?          0.0    0.29
 mean_Chl_a (micrograms per liter (mg/L)) ?          0.036    0.735
 SD_Chl_a (micrograms per liter (mg/L)) ?          0.0    0.095
 mean_PP (micromoles C per liter per day (umol C/L/d)) ?          0.13    17.81
 SD_PP (micromoles C per liter per day (umol C/L/d)) ?          0.0    0.53
 
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  experiment {
    Byte _FillValue 127;
    Byte actual_range 1, 3;
    String bcodmo_name "exp_id";
    String description "bioassay experiment identifier (1, 2 or 3)";
    String long_name "Experiment";
    String units "unitless";
  }
  treatment {
    String bcodmo_name "treatment";
    String description "Experimental amendment: start = unamended starting seawater; C = control (unamended); N = +nitrate; Fe = +iron; N+Fe = +nitrate+iron; N+Fe+P = +nitrate+iron+phosphate; rain = +rainwater";
    String long_name "Treatment";
    String units "unitless";
  }
  time2 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 67.35;
    String bcodmo_name "incubation time";
    String description "incubation time (elapsed time)";
    String long_name "Time";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AZDRZZ01/";
    String units "hours";
  }
  mean_NO3_NO2 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.08, 2.64;
    String bcodmo_name "NO3_NO2";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "Mean nitrate plus nitrite concentration";
    String long_name "Mole Concentration Of Nitrate In Sea Water";
    String units "micromoles per liter (umol/L)";
  }
  SD_NO3_NO2 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 0.15;
    String bcodmo_name "NO3_NO2";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "Standard deviation of mean nitrate plus nitrite concentration";
    String long_name "SD NO3 NO2";
    String units "micromoles per liter (umol/L)";
  }
  mean_NH4 {
    String bcodmo_name "Ammonium";
    String description "Mean ammonium concentration";
    String long_name "Mean NH4";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AMONAAZX/";
    String units "micromoles per liter (umol/L)";
  }
  SD_NH4 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 0.29;
    String bcodmo_name "Ammonium";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "Standard deviation of the mean ammonium concentration";
    String long_name "SD NH4";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AMONAAZX/";
    String units "micromoles per liter (umol/L)";
  }
  mean_Chl_a {
    Float32 _FillValue NaN;
    Float32 actual_range 0.036, 0.735;
    String bcodmo_name "chlorophyll a";
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.03;
    String colorBarScale "Log";
    String description "Mean chlorophyll-a concentration";
    String long_name "Concentration Of Chlorophyll In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CPHLHPP1/";
    String units "micrograms per liter (mg/L)";
  }
  SD_Chl_a {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 0.095;
    String bcodmo_name "chlorophyll a";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "Standard deviation of the mean Chl-a";
    String long_name "SD Chl A";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CPHLHPP1/";
    String units "micrograms per liter (mg/L)";
  }
  mean_PP {
    Float32 _FillValue NaN;
    Float32 actual_range 0.13, 17.81;
    String bcodmo_name "Primary Production";
    String description "mean primary productivity";
    String long_name "Mean PP";
    String units "micromoles C per liter per day (umol C/L/d)";
  }
  SD_PP {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 0.53;
    String bcodmo_name "Primary Production";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "Standard deviation of mean primary productivity";
    String long_name "SD PP";
    String units "micromoles C per liter per day (umol C/L/d)";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"Experimental seawater collection: For shipboard bioassay experiments, whole
seawater and resident biota were collected from ~4 m depth whilst underway at
~5 knots, using a trace-metal clean towfish system (Sedwick et al., 2011).
This seawater was used to fill two 60 L polyethylene carboys in parallel
inside a shipboard trace-metal clean container laboratory, after passing
through pre-cleaned 180 \\u00b5m nylon screen to exclude larger organisms, then
subsequently used to fill the experimental incubation bottles (see below).
Three bioassay experiments were performed (Sedwick et al., 2018), for which
seawater was collected during three separate deployments of the towfish
system.
 
For bioassay experiment 1, seawater was collected on 1 August, 2014, between
16:55 and 17:35 local time, between 38.6053\\u00b0N, 72.2534\\u00b0W (start) and
38.5692\\u00b0N, 72.2354\\u00b0W (end). Single determinations of iron and
macronutrient concentrations in seawater from the towfish that was filtered
in-line through a 0.8/0.2 \\u00b5m AcroPak Supor filter capsule (Pall) yielded
the following results:
 
Dissolved iron (DFe): 0.55 nM (start), 0.43 nM (end)
 
Dissolved nitrate+nitrite (NO3+NO2): 0.07 \\u00b5M (start) 0.08 \\u00b5M (end)
 
Dissolved phosphate (PO4): 0.19 \\u00b5M (start), 0.20 \\u00b5M (end)
 
Dissolved ammonium (NH4): not determined
 
For bioassay experiment 2, seawater was collected on 4 August, 2014, between
11:10 and 12:10 local time, between 38.3800\\u00b0N, 72.4743\\u00b0W (start) and
38.3847\\u00b0N, 72.4761\\u00b0W (end). Single determinations of iron and
macronutrient concentrations in seawater from the towfish that was filtered
in-line through a 0.8/0.2 \\u00b5m AcroPak Supor filter capsule (Pall) yielded
the following results:
 
Dissolved iron (DFe): 0.33 nM (start), 0.32 nM (end)
 
Dissolved nitrate+nitrite (NO3+NO2): 0.07 \\u00b5M (start) 0.07 \\u00b5M (end)
 
Dissolved phosphate (PO4): 0.19 \\u00b5M (start), 0.20 \\u00b5M (end)
 
Dissolved ammonium (NH4): 0.01 \\u00b5M (start), 0.01 \\u00b5M (end)
 
For bioassay experiment 3, seawater was collected on 9 August, 2014, between
15:19 and 15:54 local time, between 35.5305\\u00b0N, 72.2760\\u00b0W (start) and
35.5165\\u00b0N, 72.2703\\u00b0W (end). Single determinations of iron and
macronutrient concentrations in seawater from the towfish that was filtered
in-line through a 0.8/0.2 \\u00b5m AcroPak Supor filter capsule (Pall) yielded
the following results:
 
Dissolved iron (DFe): 0.89 nM (start), 0.90 nM (end)
 
Dissolved nitrate+nitrite (NO3+NO2): 0.05 \\u00b5M (start) 0.07 \\u00b5M (end)
 
Dissolved phosphate (PO4): not determined
 
Dissolved ammonium (NH4): 0.03 \\u00b5M (start), 0.01 \\u00b5M (end)
 
Bioassay experiment protocols: The shipboard bioassay experimental protocols
are described by Sedwick et al. (2018). For each experiment there were 6
different incubation treatments (control, iron, nitrate, nitrate+iron,
nitrate+iron+phosphate, rainwater), with triplicate bottles for each treatment
sampled at each of three timepoints. Each bottle was completely subsampled for
measurements of nutrients (NO3+NO2, NH4), chlorophyll-a and primary
productivity. For the initial (time = 0) measurements, the seawater that
remained in the 60 L polyethylene carboys after filling the incubation bottles
was transfered into a 20 L polyethylene carboy from which subsamples were
taken for measurements of NO3+NO2 after filtration through 0.8 \\u00b5m pore
size AcroDisc Supor syringe filters (Pall), for chlorophyll-a after filtration
on to combusted 0.7 \\u00b5m pore size GF/F filters (Whatman), and for
incubation with carbon-13 labeled bicarbonate for estimation of primary
production. For initial (t = 0) NH4 concentrations, we use mean values
measured in seawater sampled from the towfish outlet after in-line filtration
(see above).
 
Analytical procedures:
 
DFe: Filtered seawater samples were acidified at-sea to pH ~1.8 with Fisher
Optima grade ultrapure hydrochloric acid, and then stored at room temperature
until post-cruise analysis at Old Dominion University. Dissolved iron was
determined by flow injection analysis with colorimetric detection after in-
line preconcentration on resin-immobilized 8-hydroxyquinoline (Sedwick et al.,
2015), using a method modified from Measures et al. (1995). Analyses were
performed on a volumetric basis, so concentrations are reported in units of
nanomole liter-1 (nM). Analytical precision is estimated from multiple
(separate-day) determinations of the SAFe seawater reference materials, which
yield uncertainties (expressed as one relative standard deviation on the mean,
or one sigma) of ~15% at the concentration level of SAFe S seawater (0.090
nM), and ~10% at the concentration level of SAFe D2 seawater (0.90 nM). The
analytical limit of detection is estimated as the DFe concentration equivalent
to a peak area that is three times the standard deviation on the zero-loading
blank (manifold blank), which yields an estimated detection limit below 0.04
nM (Bowie et al., 2004). Blank contributions from the ammonium acetate sample
buffer solution (added on-line during analysis) and hydrochloric acid (added
after collection) are negligible.\\t
 
NO3+NO2: Dissolved nitrate and nitrite was determined at sea using an Astoria
Pacific nutrient autoanalyzer using standard colorimetric methods with an
estimated detection limit of 0.14 \\u00b5M (Parsons et al., 1984; Price and
Harrison, 1987). In surface waters, nitrate and nitrite were determined using
the same autoanalyzer equipped with a liquid waveguide capillary cell (World
Precision Instruments) (Zhang, 2000) to achieve an estimated detection limit
of 0.02 \\u00b5M.
 
PO4: Dissolved phosphate was determined at sea using an Astoria Pacific
nutrient autoanalyzer using standard colorimetric methods with an estimated
detection limit of 0.03 \\u00b5M (Parsons et al., 1984; Price and Harrison,
1987).\\t\\t
 
NH4: Dissolved ammonium was determined at sea using the manual
orthophthaldialdehyde method (Holmes et al., 1999), with an estimated
detection limit of 10 nM.
 
Chl-a: Chlorophyll-a was determined at sea using the non-acidification method
with a Turner 10-AU fluorometer (Welschmeyer, 1994).
 
PP: Primary production was measured using carbon stable istopes (Mulholland et
al., 2006).
 
Missing data identifiers:  
 ND = not determined (single measurement)  
 NR = not reported (contamination likely, only used for NH4 data)";
    String awards_0_award_nid "726327";
    String awards_0_award_number "OCE-1260574";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1260574";
    String awards_0_funder_name "NSF Division of Ocean Sciences";
    String awards_0_funding_acronym "NSF OCE";
    String awards_0_funding_source_nid "355";
    String awards_0_program_manager "Henrietta N Edmonds";
    String awards_0_program_manager_nid "51517";
    String awards_1_award_nid "726333";
    String awards_1_award_number "OCE-1260454";
    String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1260454";
    String awards_1_funder_name "NSF Division of Ocean Sciences";
    String awards_1_funding_acronym "NSF OCE";
    String awards_1_funding_source_nid "355";
    String awards_1_program_manager "Henrietta N Edmonds";
    String awards_1_program_manager_nid "51517";
    String cdm_data_type "Other";
    String comment 
"Shipboard bioassay experiments 
  PI: Peter Sedwick 
  Data version 1: 2018-04-25";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_type "institution";
    String creator_url "https://www.bco-dmo.org/";
    String data_source "extract_data_as_tsv version 2.3  19 Dec 2019";
    String date_created "2018-04-25T17:07:36Z";
    String date_modified "2019-08-16T14:53:03Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.734364.1";
    String history 
"2020-12-05T08:48:37Z (local files)
2020-12-05T08:48:37Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_734364.html";
    String infoUrl "https://www.bco-dmo.org/dataset/734364";
    String institution "BCO-DMO";
    String instruments_0_acronym "Fluorometer";
    String instruments_0_dataset_instrument_description "Spectrofluorophotometer: NH4";
    String instruments_0_dataset_instrument_nid "734372";
    String instruments_0_description "A fluorometer or fluorimeter is a device used to measure parameters of fluorescence: its intensity and wavelength distribution of emission spectrum after excitation by a certain spectrum of light. The instrument is designed to measure the amount of stimulated electromagnetic radiation produced by pulses of electromagnetic radiation emitted into a water sample or in situ.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/113/";
    String instruments_0_instrument_name "Fluorometer";
    String instruments_0_instrument_nid "484";
    String instruments_0_supplied_name "Shimadzu RF1501";
    String instruments_1_acronym "Fluorometer";
    String instruments_1_dataset_instrument_description "Fluorometer: Chl-a";
    String instruments_1_dataset_instrument_nid "734373";
    String instruments_1_description "A fluorometer or fluorimeter is a device used to measure parameters of fluorescence: its intensity and wavelength distribution of emission spectrum after excitation by a certain spectrum of light. The instrument is designed to measure the amount of stimulated electromagnetic radiation produced by pulses of electromagnetic radiation emitted into a water sample or in situ.";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/113/";
    String instruments_1_instrument_name "Fluorometer";
    String instruments_1_instrument_nid "484";
    String instruments_1_supplied_name "Turner Designs 10-AU fluorometer";
    String instruments_2_acronym "Nutrient Autoanalyzer";
    String instruments_2_dataset_instrument_description "Macronutrient analysis: NO3+NO2, PO4";
    String instruments_2_dataset_instrument_nid "734370";
    String instruments_2_description "Nutrient Autoanalyzer is a generic term used when specific type, make and model were not specified.  In general, a Nutrient Autoanalyzer is an automated flow-thru system for doing nutrient analysis (nitrate, ammonium, orthophosphate, and silicate) on seawater samples.";
    String instruments_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB04/";
    String instruments_2_instrument_name "Nutrient Autoanalyzer";
    String instruments_2_instrument_nid "558";
    String instruments_2_supplied_name "Astoria Pacific nutrient autoanalyzer";
    String instruments_3_acronym "Mass Spec";
    String instruments_3_dataset_instrument_description "Mass Spectrometer (PP): Europa 20/20 isotope ratio mass spectrometer equipped with an automated nitrogen and carbon analysis for gas, solids, and liquids (ANCA-GSL) preparation module.";
    String instruments_3_dataset_instrument_nid "734374";
    String instruments_3_description "General term for instruments used to measure the mass-to-charge ratio of ions; generally used to find the composition of a sample by generating a mass spectrum representing the masses of sample components.";
    String instruments_3_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB16/";
    String instruments_3_instrument_name "Mass Spectrometer";
    String instruments_3_instrument_nid "685";
    String instruments_3_supplied_name "Europa 20/20 isotope ratio mass spectrometer";
    String keywords "ammonium, bco, bco-dmo, biological, chemical, chemistry, chl, chlorophyll, concentration, concentration_of_chlorophyll_in_sea_water, data, dataset, dmo, earth, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, Earth Science > Oceans > Ocean Chemistry > Nitrate, erddap, experiment, management, mean, mean_Chl_a, mean_NH4, mean_NO3_NO2, mean_PP, mole, mole_concentration_of_nitrate_in_sea_water, n02, nh4, nitrate, nitrite, no2, no3, ocean, oceanography, oceans, office, preliminary, science, SD_Chl_a, SD_NH4, SD_NO3_NO2, SD_PP, sea, seawater, time, time2, treatment, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/734364/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/734364";
    String param_mapping "{'734364': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/734364/parameters";
    String people_0_affiliation "Old Dominion University";
    String people_0_affiliation_acronym "ODU";
    String people_0_person_name "Peter N. Sedwick";
    String people_0_person_nid "51056";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Old Dominion University";
    String people_1_affiliation_acronym "ODU";
    String people_1_person_name "Dr Margaret Mulholland";
    String people_1_person_nid "51386";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Pennsylvania State University";
    String people_2_affiliation_acronym "PSU";
    String people_2_person_name "Dr Raymond Najjar";
    String people_2_person_nid "50813";
    String people_2_role "Co-Principal Investigator";
    String people_2_role_type "originator";
    String people_3_affiliation "Old Dominion University";
    String people_3_affiliation_acronym "ODU";
    String people_3_person_name "Peter N. Sedwick";
    String people_3_person_nid "51056";
    String people_3_role "Contact";
    String people_3_role_type "related";
    String people_4_affiliation "Woods Hole Oceanographic Institution";
    String people_4_affiliation_acronym "WHOI BCO-DMO";
    String people_4_person_name "Amber York";
    String people_4_person_nid "643627";
    String people_4_role "BCO-DMO Data Manager";
    String people_4_role_type "related";
    String project "DANCE";
    String projects_0_acronym "DANCE";
    String projects_0_description 
"NSF abstract:
Deposition of atmospheric nitrogen provides reactive nitrogen species that influence primary production in nitrogen-limited regions. Although it is generally assumed that these species in precipitation contributes substantially to anthropogenic nitrogen loadings in many coastal marine systems, its biological impact remains poorly understood. Scientists from Pennsylvania State University, William & Mary College, and Old Dominion University will carry out a process-oriented field and modeling effort to test the hypothesis that deposits of wet atmospheric nitrogen (i.e., precipitation) stimulate primary productivity and accumulation of algal biomass in coastal waters following summer storms and this effect exceeds the associated biogeochemical responses to wind-induced mixing and increased stratification caused by surface freshening in oligotrophic coastal waters of the eastern United States. To attain their goal, the researchers would perform a Lagrangian field experiment during the summer months in coastal waters located between Delaware Bay and the coastal Carolinas to determine the response of surface-layer biogeochemistry and biology to precipitation events, which will be identified and intercepted using radar and satellite data. As regards the modeling effort, a 1-D upper ocean mixing model and a 1-D biogeochemical upper-ocean will be calibrated by assimilating the field data obtained a part of the study using the adjoint method. The hypothesis will be tested using sensitivity studies with the calibrated model combined with in-situ data and results from the incubation experiments. Lastly, to provide regional and historical context for the field measurements and the associated 1-D modeling, linked regional atmospheric-oceanic biogeochemical modeling will be conducted.
Broader Impacts. Results from the study would be incorporated into class lectures for graduate courses on marine policy and marine biogeochemistry. One graduate student from Pennsylvania State University, one graduate student from the College of William and Mary, and one graduate and one undergraduate student from Old Dominion University would be supported and trained as part of this project.";
    String projects_0_end_date "2017-02";
    String projects_0_geolocation "Offshore Mid-Atlantic Bight and northern South-Atlantic Bight between latitudes 31.60°N and 38.89°N, and longitudes 71.09°W and 75.16°W";
    String projects_0_name "Collaborative Research: Impacts of atmospheric nitrogen deposition on the biogeochemistry of oligotrophic coastal waters";
    String projects_0_project_nid "726328";
    String projects_0_start_date "2013-03";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Three bioassay experiments were conducted in August of 2014 during the R/V Hugh R. Sharp cruise HRS1414 which generated measurements of dissolved inorganic nitrogen, chlorophyll-a and primary productivity.  Treatments included various nutrient (N,Fe,P) additions and rainwater.\\r\\n\\r\\nThis dataset was utilized in the following publication:\\r\\nSedwick. P. N., et al. \\Assessing phytoplankton nutritional status and potential impact of wet deposition in seasonally oligotrophic waters of the Mid-Atlantic Bight.\\ Geophysical Research Letters (2018): doi: 10.1002/2017GL075361";
    String title "Dissolved inorganic nitrogen, chlorophyll-a, and primary production from bioassay experiments during the R/V Hugh R. Sharp cruise HRS1414 in the Mid and South-Atlantic Bight in August of 2014 (DANCE project)";
    String version "1";
    String xml_source "osprey2erddap.update_xml() v1.3";
  }
}

 

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tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its selection constraints (external link).

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
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For details, see the tabledap Documentation.


 
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