Accessing BCO-DMO data
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| Dataset Title: | Experimental and survey biogeochemical and microbial data from R/V Point Sur cruises PS1009 and PS1103 in the Santa Barbara Channel from 2010-2011 (SBDOM project, SBC LTER project) 
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| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_517839) |
| Information: | Summary
| License
| ISO 19115
| Metadata
| Background
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| Files
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Attributes {
s {
cruise_name {
String bcodmo_name "Cruise Name";
String description "Cruise during which sample was collected.";
String long_name "Cruise Name";
String units "text";
}
cruise_id {
String bcodmo_name "cruise_id";
String description "Official cruise identifier.";
String long_name "Cruise Id";
String units "text";
}
activity {
String bcodmo_name "brief_desc";
String description "CTD= CTD/rosette deployment; Experiment (BIB=mesocosm experiment; SIP= DOM consumption experiment; Bag= DOM consumption bag tests)";
String long_name "Activity";
String units "text";
}
event {
String bcodmo_name "event";
String description "Event# [yyyymmddhhhh GMT]";
String long_name "Event";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/EVTAGFL/";
String units "unitless";
}
sta_id {
String bcodmo_name "sta_id";
String description "Station identification.";
String long_name "Sta Id";
String units "alphanumeric";
}
cast_type {
String bcodmo_name "cast_type";
String description "Type of cast: CTD or experimental.";
String long_name "Cast Type";
String units "text";
}
cast {
String bcodmo_name "cast";
String description "Cast number: a unique Identified Code for each cast (consecutive).";
String long_name "Cast";
String units "alphanumeric";
}
depth_bottom {
Int16 _FillValue 32767;
Int16 actual_range 1, 584;
String bcodmo_name "depth_bottom";
Float64 colorBarMaximum 8000.0;
Float64 colorBarMinimum -8000.0;
String colorBarPalette "TopographyDepth";
String description "Bottom depth.";
String long_name "Depth";
String standard_name "depth";
String units "meters (m)";
}
date_local {
String bcodmo_name "date_local";
String description "Date (local time) in mm/dd/yy format.";
String long_name "Date Local";
String units "unitless";
}
time_local {
String bcodmo_name "time_local";
String description "Timestamp (local) in HHMM format.";
String long_name "Time Local";
String units "unitless";
}
decimal_year_local {
Float64 _FillValue NaN;
Float64 actual_range 2010.2698, 2010.2938;
String bcodmo_name "year_decimal";
String description "Local decimal year.";
String long_name "Decimal Year Local";
String units "decimal year";
}
date_gmt {
String bcodmo_name "date_gmt";
String description "Date (GMT) in mm/dd/yy format.";
String long_name "Date Gmt";
String units "unitless";
}
time_gmt {
String bcodmo_name "time_gmt";
String description "Timestamp (GMT) in HHMM format.";
String long_name "Time Gmt";
String units "unitless";
}
decimal_year_gmt {
Float64 _FillValue NaN;
Float64 actual_range 2010.2706, 2010.2946;
String bcodmo_name "year_decimal";
String description "GMT decimal year.";
String long_name "Decimal Year Gmt";
String units "decimal year";
}
latitude {
String _CoordinateAxisType "Lat";
Float64 _FillValue NaN;
Float64 actual_range 34.0984, 34.4314;
String axis "Y";
String bcodmo_name "latitude";
Float64 colorBarMaximum 90.0;
Float64 colorBarMinimum -90.0;
String description "Latitude. Positive values = North.";
String ioos_category "Location";
String long_name "Latitude";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
String standard_name "latitude";
String units "degrees_north";
}
longitude {
String _CoordinateAxisType "Lon";
Float64 _FillValue NaN;
Float64 actual_range -120.6717, -119.4168;
String axis "X";
String bcodmo_name "longitude";
Float64 colorBarMaximum 180.0;
Float64 colorBarMinimum -180.0;
String description "Longitude. Negative values = West.";
String ioos_category "Location";
String long_name "Longitude";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
String standard_name "longitude";
String units "degrees_east";
}
ISO_DateTime_Local {
String bcodmo_name "ISO_DateTime_Local";
String description "Date and time (local) formatted to ISO 8601 standard in YYYY-mm-ddTHH:MM:SS.xx format.";
String long_name "ISO Date Time Local";
String source_name "ISO_DateTime_Local";
String time_precision "1970-01-01T00:00:00Z";
String units "unitless";
}
depth {
String _CoordinateAxisType "Height";
String _CoordinateZisPositive "down";
Float64 _FillValue NaN;
Float64 actual_range 0.367, 302.029;
String axis "Z";
String bcodmo_name "depth";
String description "Actual sampling depth.";
String ioos_category "Location";
String long_name "Depth";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
String positive "down";
String standard_name "depth";
String units "m";
}
depth_target {
String bcodmo_name "depth";
String description "Bottle target depth.";
String long_name "Depth";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
String standard_name "depth";
String units "meters (m)";
}
bottle {
String bcodmo_name "bottle";
String description "Rosette bottle number (mix or all= multiple bottles collected at same depth were combined for experimental water).";
String long_name "Bottle";
String units "integer or text";
}
sample {
String bcodmo_name "sample";
String description "Unique Identified Code for each sample collected (consecutive).";
String long_name "Sample";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
String units "integer";
}
collection_bot_ID {
String bcodmo_name "unknown";
String description "Internal reference code; carboy or sample bottle number.";
String long_name "Collection Bot ID";
String units "integer";
}
phosphate {
Float64 _FillValue NaN;
Float64 actual_range 0.082416, 6.552802;
String bcodmo_name "PO4";
String description "ortho-Phosphate concentration in micromolar units by flow injection autoanalyzer (Lachat QuikChem 8000).";
String long_name "Mass Concentration Of Phosphate In Sea Water";
String units "micromoles per Liter (umol/L)";
}
silicate {
Float64 _FillValue NaN;
Float64 actual_range 0.413992, 38.234192;
String bcodmo_name "SiOH_4";
String description "Silicate concentration in micromolar units by flow injection autoanalyzer (Lachat QuikChem 8000).";
String long_name "Mass Concentration Of Silicate In Sea Water";
String units "micromolar (uM)";
}
NO2 {
Float32 _FillValue NaN;
Float32 actual_range 0.036071, 0.559772;
String bcodmo_name "NO2";
Float64 colorBarMaximum 1.0;
Float64 colorBarMinimum 0.0;
String description "Nitrite (NO2) concentration in micromolar units by flow injection autoanalyzer (Lachat QuikChem 8000).";
String long_name "Mole Concentration Of Nitrite In Sea Water";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/NTRIAAZX/";
String units "micromoles per Liter (umol/L)";
}
NO3_NO2 {
Float64 _FillValue NaN;
Float64 actual_range 0.01474, 316.0;
String bcodmo_name "NO3_NO2";
Float64 colorBarMaximum 50.0;
Float64 colorBarMinimum 0.0;
String description "Nitrate (NO3) + Nitrite (NO2) concentration in micromolar units by flow injection autoanalyzer (Lachat QuikChem 8000).";
String long_name "Mole Concentration Of Nitrate In Sea Water";
String units "micromoles per Liter (umol/L)";
}
ammonia {
Float64 _FillValue NaN;
Float64 actual_range 0.01722, 4.543698895;
String bcodmo_name "unknown";
Float64 colorBarMaximum 5.0;
Float64 colorBarMinimum 0.0;
String description "Ammonium ion concentration in micromolar units by flow injection autoanalyzer (Lachat QuikChem 8000).";
String long_name "Mole Concentration Of Ammonium In Sea Water";
String units "micromoles per Liter (umol/L)";
}
POC {
Float64 _FillValue NaN;
Float64 actual_range 2.54960832, 198.9868782;
String bcodmo_name "POC";
String description "Particulate organic carbon (POC) measured by combustion analysis.";
String long_name "Particulate Organic Carbon";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CORGCAP1/";
String units "micromoles per Liter (umol/L)";
}
PON {
Float64 _FillValue NaN;
Float64 actual_range 0.399635649, 36.39171696;
String bcodmo_name "PON";
String description "Particulate organic nitrogen (PON) measured by combustion analysis.";
String long_name "PON";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MDMAP013/";
String units "micromoles per Liter (umol/L)";
}
tot_chl {
Float64 _FillValue NaN;
Float64 actual_range 0.214, 23.174;
String bcodmo_name "chl_tot";
String description "Total chlorophyll in micrograms per Liter.";
String long_name "Tot Chl";
String units "micrograms per Liter (ug/L)";
}
chl_a {
Float64 _FillValue NaN;
Float64 actual_range 0.058, 22.284;
String bcodmo_name "chlorophyll a";
Float64 colorBarMaximum 30.0;
Float64 colorBarMinimum 0.03;
String colorBarScale "Log";
String description "Chlorophyll a concentration in micrograms per Liter.";
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 (ug/L)";
}
phaeo {
Float64 _FillValue NaN;
Float64 actual_range 0.069, 4.927658886;
String bcodmo_name "phaeopigment";
String description "Phaeophytin concentration in micrograms per Liter.";
String long_name "Phaeo";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHAEFMP1/";
String units "micrograms per Liter (ug/L)";
}
Si_bio {
Float64 _FillValue NaN;
Float64 actual_range 0.085586094, 19.6465462;
String bcodmo_name "Si_bio";
String description "Biogenic silica concentration.";
String long_name "Mass Concentration Of Silicate In Sea Water";
String units "micromoles Si per Liter (umol Si/L)";
}
Si32_rho {
Float64 _FillValue NaN;
Float64 actual_range -0.012529573, 0.856652505;
String bcodmo_name "unknown";
String description "32Si rho";
String long_name "Si32 rho";
String units "micromoles Si per Liter per day (umol Si/L/d)";
}
Si32_Vb {
Float64 _FillValue NaN;
Float64 actual_range -0.494812839, 6.34884701;
String bcodmo_name "unknown";
String description "32Si Vb";
String long_name "Si32 Vb";
String units "per day (d-1)";
}
Si32_Krho {
Float64 _FillValue NaN;
Float64 actual_range -0.039106395, 2.365505792;
String bcodmo_name "unknown";
String description "32Si-K rho";
String long_name "Si32 Krho";
String units "micromoles Si per Liter per day (umol Si/L/d)";
}
Si32_Erho {
Byte _FillValue 127;
Byte actual_range 0, 0;
String bcodmo_name "unknown";
String description "32Si-E rho (SBDOM11 only)";
String long_name "Si32 Erho";
String units "micromoles Si per Liter per day (umol Si/L/d)";
}
Si32_KVb {
Float64 _FillValue NaN;
Float64 actual_range 0.879440539, 6.391036173;
String bcodmo_name "unknown";
String description "32Si-K Vb";
String long_name "Si32 KVb";
String units "per day (d-1)";
}
Si32_EVb {
Byte _FillValue 127;
Byte actual_range 0, 0;
String bcodmo_name "unknown";
String description "32-Si-E Vb (SBDOM11 only)";
String long_name "Si32 EVb";
String units "per day (d-1)";
}
N15_rho {
Float64 _FillValue NaN;
Float64 actual_range 0.0, 1.242709982;
String bcodmo_name "unknown";
String description "15N rho";
String long_name "N15 rho";
String units "micromoles N per Liter per day (umol N/L/d)";
}
N15_Vb {
Float64 _FillValue NaN;
Float64 actual_range 0.0, 0.260746543;
String bcodmo_name "unknown";
String description "15N Vb";
String long_name "N15 VB";
String units "per day (d-1)";
}
N15_enriched_rho {
Float64 _FillValue NaN;
Float64 actual_range 0.0, 5.696556699;
String bcodmo_name "unknown";
String description "15N-Enriched rho";
String long_name "N15 enriched rho";
String units "micromoles N per Liter per day (umol N/L/d)";
}
N15_enriched_Vb {
Float64 _FillValue NaN;
Float64 actual_range 0.0, 0.574448474;
String bcodmo_name "unknown";
String description "15N-Enriched Vb";
String long_name "N15 Enriched Vb";
String units "per day (d-1)";
}
C14_light {
Float64 _FillValue NaN;
Float64 actual_range 0.797356056, 1966.091;
String bcodmo_name "unknown";
String description "14C Light";
String long_name "C14 Light";
String units "milligrams C per cubic meter per day (mg C/m3/d)";
}
C14_dark {
Float64 _FillValue NaN;
Float64 actual_range 0.221, 94.60075595;
String bcodmo_name "unknown";
String description "14C Dark";
String long_name "C14 Dark";
String units "milligrams C per cubic meter per day (mg C/m3/d)";
}
C14_prod {
Float64 _FillValue NaN;
Float64 actual_range 0.307892161, 1944.488;
String bcodmo_name "unknown";
String description "14C Prod";
String long_name "C14 Prod";
String units "milligrams C per cubic meter per day (mg C/m3/d)";
}
PER {
Float64 _FillValue NaN;
Float64 actual_range 0.017067332, 78.8;
String bcodmo_name "unknown";
String description "Percent Extracellular Release.";
String long_name "PER";
String units "percent (%)";
}
bact_prod {
Float64 _FillValue NaN;
Float64 actual_range 0.0, 174.6574078;
String bcodmo_name "unknown";
String description "Heterotrophic Bacterial Production (Dark) by 3H Leu uptake.";
String long_name "Bact Prod";
String units "milligrams C per cubic meter per day (mg C/m3/d)";
}
bact_prod_light {
Float32 _FillValue NaN;
Float32 actual_range 0.0, 10.119;
String bcodmo_name "unknown";
String description "Heterotrophic Bacterial Production (Light) by 3H Leu uptake";
String long_name "Bact Prod Light";
String units "milligrams C per cubic meter per day (mg C/m3/d)";
}
bact_prod_cells {
String bcodmo_name "unknown";
String description "BP Cells";
String long_name "Bact Prod Cells";
String units "cells per cubic meter per day (cells/m3/d)";
}
bact_prod_light_cells {
String bcodmo_name "unknown";
String description "BP Light Cells";
String long_name "Bact Prod Light Cells";
String units "cells per cubic meter per day (cells/m3/d)";
}
tot_bact_cells {
Byte _FillValue 127;
Byte actual_range 0, 0;
String bcodmo_name "bact_abundance";
String description "Total Bacterial cell count by flow cytometry";
String long_name "Tot Bact Cells";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/BNTX";
String units "bacterial cells per cubic meter (Baterial Cells/m3)";
}
autofluor_cells {
String bcodmo_name "unknown";
String description "Autofluorescent cell count by flow cytometry";
String long_name "Autofluor Cells";
String units "autofluorescent cells per cubic meter (Autofluor Cells/m3)";
}
DOC {
Float64 _FillValue NaN;
Float64 actual_range 0.0, 103.093;
String bcodmo_name "DOC";
String description "Dissolved organic carbon (DOC) concentration by HTCO in micromolar units. Glass fiber filtrate type GF/F (Whatman).";
String long_name "DOC";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CORGZZZX/";
String units "micromolar Carbon (uM C)";
}
DON {
Float32 _FillValue NaN;
Float32 actual_range 0.0, 0.0;
String bcodmo_name "Dissolved Organic Nitrogen";
String description "Dissolved organic nitrogen (DON) concentration by HTCO in micromolar units. Glass fiber filtrate type GF/F (Whatman).";
String long_name "DON";
String units "micromolar Nitrogen (uM N)";
}
depth_ctd {
Float32 _FillValue NaN;
Float32 actual_range 0.867, 302.529;
String bcodmo_name "depth";
Float64 colorBarMaximum 8000.0;
Float64 colorBarMinimum -8000.0;
String colorBarPalette "TopographyDepth";
String description "CTD Depth (m)";
String long_name "Depth";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
String standard_name "depth";
String units "meters (m)";
}
press {
Float32 _FillValue NaN;
Float32 actual_range 0.873, 304.933;
String bcodmo_name "pressure";
String description "CTD Pressure (db)";
String long_name "Press";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PRESPR01/";
String units "decibars";
}
temp {
Float32 _FillValue NaN;
Float32 actual_range 7.843, 14.746;
String bcodmo_name "temperature";
String description "CTD Temp0 (oC)";
String long_name "Temperature";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
String units "degrees Celsius";
}
temp2 {
Float32 _FillValue NaN;
Float32 actual_range 7.846, 14.714;
String bcodmo_name "temp2";
String description "CTD Temp1 (oC)";
String long_name "Temp2";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPS601/";
String units "degrees Celsius";
}
cond {
Float32 _FillValue NaN;
Float32 actual_range 3.547, 4.099;
String bcodmo_name "conductivity";
String description "CTD Conductivity0 (S/m)";
String long_name "Cond";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/CNDC/";
String units "Siemens per meter (S/m)";
}
cond2 {
Float32 _FillValue NaN;
Float32 actual_range 3.547, 4.096;
String bcodmo_name "cond2";
String description "CTD Conductivity1 (S/m)";
String long_name "Cond2";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/CNDC/";
String units "Siemens per meter (S/m)";
}
sal {
Float32 _FillValue NaN;
Float32 actual_range 33.179, 34.2112;
String bcodmo_name "sal";
String description "CTD Salinity0 (PSU)";
String long_name "Sal";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
String units "practical salinity units (PSU)";
}
sal2 {
Float32 _FillValue NaN;
Float32 actual_range 33.178, 34.218;
String bcodmo_name "sal2";
String description "CTD Salinity1 (PSU)";
String long_name "Sal2";
String units "practical salinity units (PSU)";
}
sigma_0 {
Float32 _FillValue NaN;
Float32 actual_range 24.842, 26.681;
String bcodmo_name "sigma_0";
String description "CTD Density0 (sigma-theta)";
String long_name "Sigma 0";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/SIGTPR01/";
String units "?";
}
sigma_0_2 {
Float32 _FillValue NaN;
Float32 actual_range 24.849, 26.679;
String bcodmo_name "sigma_0";
String description "CTD Density1 (sigma-theta)";
String long_name "Sigma 0 2";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/SIGTPR01/";
String units "?";
}
fluor {
Float32 _FillValue NaN;
Float32 actual_range 0.017, 0.4129;
String bcodmo_name "fluorescence";
String description "Fluorescence (ug/L)";
String long_name "Fluor";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CPHLPM01/";
String units "micrograms per Liter (ug/L)";
}
trans {
Float32 _FillValue NaN;
Float32 actual_range 66.1656, 94.181;
String bcodmo_name "transmission";
String description "Transmission (%)";
String long_name "Trans";
String units "percent (%)";
}
beam_c {
Float32 _FillValue NaN;
Float32 actual_range 0.24, 1.6523;
String bcodmo_name "beam_c";
String description "Beam C (1/m)";
String long_name "Beam C";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ATTNZZ01/";
String units "reciprical meters (1/m)";
}
O2_umol_kg {
Float32 _FillValue NaN;
Float32 actual_range 28.036, 354.573;
String bcodmo_name "O2_umol_kg";
String description "SBE Oxygen (umol/kg)";
String long_name "O2 Umol Kg";
String units "micromoles per kilogram (umol/kg)";
}
PAR {
Float32 _FillValue NaN;
Float32 actual_range 0.209, 3667.3;
String bcodmo_name "PAR";
Float64 colorBarMaximum 70.0;
Float64 colorBarMinimum 0.0;
String description "PAR";
String long_name "Downwelling Photosynthetic Photon Radiance In Sea Water";
String units "?";
}
SPAR {
Float32 _FillValue NaN;
Float32 actual_range 0.0, 2660.3;
String bcodmo_name "SPAR";
String description "Surface PAR";
String long_name "SPAR";
String units "?";
}
PAR_corrected {
Float32 _FillValue NaN;
Float32 actual_range 0.01, 99999.0;
String bcodmo_name "unknown";
String description "Corrected PAR (%)";
String long_name "PAR Corrected";
Float32 missing_value NaN;
String units "percent (%)";
}
}
NC_GLOBAL {
String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
String acquisition_description
"Description of methods from cruise plans and project proposal:
Triaxus and CTD operations were conducted from the R/V Point Sur within the
Santa Barbara Channel. Samples were collected for particulates and dissolved
constituents. Determinations of phytoplankton productivity were made using
14C, 15NO3 and 32Si incorporation using on-deck incubator. Measurements of
microbial activity, biomass and DNA. 3H-Leucine were used to assess bacterial
production. Deck board incubation experiments were also conducted.
The Triaxus survey was used to assess fluorescence and to target the areas of
water collection for experimental work. A 24-station CTD grid was performed on
each cruise. A full suite of particulate and dissolved nutrients were
measured, along with bacterial and phytoplankton productivity measurements.
Two large incubation experiments were conducted onboard using deck
incubators.\\u00a0
Assays of nutrient stress: Phytoplankton nutrient stress at each grid station
were quantified by measuring the uptake rate of silicic acid and nitrate at
the ambient concentration and then again after the addition of a saturating
level of the nutrient. Tracers, 15NO3 or 32Si(OH)4, were added to replicate
subsamples. One of the subsamples was unaltered to yield the rate of nitrate
or Si uptake under ambient nutrient concentrations. The second sample in each
pair received a saturating addition of the nutrient whose uptake was being
monitored, yielding the uptake rate under conditions of nutrient sufficiency.
Isotopic 14C tracer experiments: The methods of Lancelot and Mathot (1985)
were modified to track primary production (PP), dissolved organic Carbon (DOC)
extracellular release, fraction of released DOC incorporated by
bacterioplankton and the fraction that\\u2019s resistant to rapid
remineralization.";
String awards_0_award_nid "54995";
String awards_0_award_number "OCE-0850857";
String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0850857";
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 "David L. Garrison";
String awards_0_program_manager_nid "50534";
String cdm_data_type "Other";
String comment
"Experimental & Survey Biogeochemical and Microbial Data
Project: SBDOM
PI: Craig Carlson (UC Santa Barbara, MSI)
Co-PI: Mark Brzezinski (UC Santa Barbara, MSI)
Version History:
SBDOM11 added: 08 July 2014 (current version)
Original data: 11 July 2012";
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 "2014-07-02T19:43:21Z";
String date_modified "2019-08-28T17:12:44Z";
String defaultDataQuery "&time<now";
String doi "10.1575/1912/bco-dmo.517839.2";
Float64 Easternmost_Easting -119.4168;
Float64 geospatial_lat_max 34.4314;
Float64 geospatial_lat_min 34.0984;
String geospatial_lat_units "degrees_north";
Float64 geospatial_lon_max -119.4168;
Float64 geospatial_lon_min -120.6717;
String geospatial_lon_units "degrees_east";
Float64 geospatial_vertical_max 302.029;
Float64 geospatial_vertical_min 0.367;
String geospatial_vertical_positive "down";
String geospatial_vertical_units "m";
String history
"2024-04-24T16:51:41Z (local files)
2024-04-24T16:51:41Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_517839.html";
String infoUrl "https://www.bco-dmo.org/dataset/517839";
String institution "BCO-DMO";
String instruments_0_acronym "CTD TRIAXUS";
String instruments_0_dataset_instrument_nid "720182";
String instruments_0_description "Sea-bird SBE 9 pumped CTD attached to the Triaxus towed undulating platform. The Triaxus towed undulating vehicle, designed and manufactured by MacArtney, achieves high resolution 3-dimensional surveys of the upper 180m of the water column. The standard sensor package includes a Seabird CTD (with optional secondary C and T sensors), transmissometer, dissolved oxygen, chlorophyll fluorometer, and PAR sensor. In addition to this basic configuration, Triaxus can accommodate up to 9 additional sensor packages / sensors. See http://www.macartney.com/systems/remote-technology/triaxus.";
String instruments_0_instrument_name "CTD TRIAXUS";
String instruments_0_instrument_nid "620";
String instruments_1_acronym "FIA";
String instruments_1_dataset_instrument_description "A flow injection autoanalyzer (Lachat QuikChem 8000) was used.";
String instruments_1_dataset_instrument_nid "518537";
String instruments_1_description "An instrument that performs flow injection analysis. Flow injection analysis (FIA) is an approach to chemical analysis that is accomplished by injecting a plug of sample into a flowing carrier stream. FIA is an automated method in which a sample is injected into a continuous flow of a carrier solution that mixes with other continuously flowing solutions before reaching a detector. Precision is dramatically increased when FIA is used instead of manual injections and as a result very specific FIA systems have been developed for a wide array of analytical techniques.";
String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB36/";
String instruments_1_instrument_name "Flow Injection Analyzer";
String instruments_1_instrument_nid "657";
String instruments_1_supplied_name "flow injection autoanalyzer";
String keywords "active, activity, altimetry, ammonia, ammonium, autofluor, autofluor_cells, available, bact, bact_prod, bact_prod_cells, bact_prod_light, bact_prod_light_cells, bco, bco-dmo, beam, beam_c, biological, bot, bottle, c14, C14_dark, C14_light, C14_prod, carbon, cast, cast_type, cells, chemical, chemistry, chl, chl_a, chlorophyll, collection, collection_bot_ID, commerce, concentration, concentration_of_chlorophyll_in_sea_water, cond, cond2, corrected, cruise, cruise_id, cruise_name, dark, data, dataset, date, date_gmt, date_local, decimal, decimal_year_gmt, decimal_year_local, department, depth, depth_actual, depth_bottom, depth_ctd, depth_target, dmo, doc, don, downwelling, downwelling_photosynthetic_photon_radiance_in_sea_water, earth, Earth Science > Oceans > Ocean Chemistry > Ammonia, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, Earth Science > Oceans > Ocean Chemistry > Nitrate, Earth Science > Oceans > Ocean Chemistry > Phosphate, Earth Science > Oceans > Ocean Chemistry > Silicate, Earth Science > Oceans > Ocean Optics > Photosynthetically Active Radiation, Earth Science > Oceans > Ocean Optics > Radiance, enriched, erddap, erho, evb, event, fluor, iso, krho, kvb, laboratory, latitude, light, local, longitude, management, mass, mass_concentration_of_phosphate_in_sea_water, mass_concentration_of_silicate_in_sea_water, mole, mole_concentration_of_ammonium_in_sea_water, mole_concentration_of_nitrate_in_sea_water, mole_concentration_of_nitrite_in_sea_water, n02, n15, N15_enriched_rho, N15_enriched_Vb, N15_rho, N15_Vb, name, nh4, nitrate, nitrite, NO2, no3, NO3_NO2, O2, O2_umol_kg, ocean, oceanography, oceans, office, optics, organic, oxygen, par, PAR_corrected, particulate, per, phaeo, phosphate, photon, photosynthetic, photosynthetically, po4, POC, pon, preliminary, press, prod, radiance, radiation, rho, sal, sal2, sample, satellite, science, sea, seawater, si32, Si32_Erho, Si32_EVb, Si32_Krho, Si32_KVb, Si32_rho, Si32_Vb, Si_bio, sigma, sigma_0, sigma_0_2, silicate, spar, sta, sta_id, temp2, temperature, time, time_gmt, time_local, tot, tot_bact_cells, tot_chl, trans, type, umol, water, year";
String keywords_vocabulary "GCMD Science Keywords";
String license "https://www.bco-dmo.org/dataset/517839/license";
String metadata_source "https://www.bco-dmo.org/api/dataset/517839";
Float64 Northernmost_Northing 34.4314;
String param_mapping "{'517839': {'lat': 'master - latitude', 'lon': 'master - longitude', 'depth_actual': 'master - depth'}}";
String parameter_source "https://www.bco-dmo.org/mapserver/dataset/517839/parameters";
String people_0_affiliation "University of California-Santa Barbara";
String people_0_affiliation_acronym "UCSB-MSI";
String people_0_person_name "Craig Carlson";
String people_0_person_nid "50575";
String people_0_role "Lead Principal Investigator";
String people_0_role_type "originator";
String people_1_affiliation "University of California-Santa Barbara";
String people_1_affiliation_acronym "UCSB-MSI";
String people_1_person_name "Mark A. Brzezinski";
String people_1_person_nid "50663";
String people_1_role "Co-Principal Investigator";
String people_1_role_type "originator";
String people_2_affiliation "University of California-Santa Barbara";
String people_2_affiliation_acronym "UCSB-MSI";
String people_2_person_name "Craig Carlson";
String people_2_person_nid "50575";
String people_2_role "Contact";
String people_2_role_type "related";
String people_3_affiliation "Woods Hole Oceanographic Institution";
String people_3_affiliation_acronym "WHOI BCO-DMO";
String people_3_person_name "Shannon Rauch";
String people_3_person_nid "51498";
String people_3_role "BCO-DMO Data Manager";
String people_3_role_type "related";
String project "SBDOM,SBC LTER";
String projects_0_acronym "SBDOM";
String projects_0_description
"This project is also affiliated with the Plumes and Blooms project.
Data:
The following data files have been submitted to BCO-DMO but are not yet available online. Data are restricted until June 2016. Please contact the PI for access prior to public availability:
-- SBDOM10 and SBDOM11 CTD and Niskin bottle data.
The following are available online (see 'Datasets' heading below):
-- SBDOM10 and SBDOM11 cruise plans (available online on deployment pages: PS1009, PS1103)
-- SBDOM10 and SBDOM11 event logs (available online; see 'Datasets' below)
-- Laboratory-based Bloom in a Bottle (BIB) Experiment
-- Laboratory-based Remineralization Experiments
-- SBDOM10 and SBDOM11 data summaries (including CTD data, nutrients, and bacterial production)
Project Description from NSF Award Proposal and Abstract:
Diatom blooms are known to produce prodigious quantities of DOM upon entering nutrient stress with a chemical composition that varies with the type of nutrient limitation (Si or N). This variable composition likely influences the nutritional value of DOM to microbes driving species successions towards functional groups of heterotrophic prokaryotes that are best able to metabolize particular forms of DOM. To date each side of this coupled system of production/consumption has been examined independently. A few studies have examined how limitation by different limiting nutrients affects the chemical character of the DOM produced by phytoplankton, while others have focused on the fate of DOM without detailed understanding of the mechanisms influencing its initial chemical composition.
We propose to investigate the mechanisms determining the character and fate of DOM produced during temperate diatom blooms. Specifically we will investigate how physiological stress on diatoms induced by different limiting nutrients influences the production, chemical composition of DOM and the microbial community structure that respond to it to better understand the mechanisms driving the accumulation and persistence of DOM in marine systems. The research will involve both laboratory and field experiments. The novel aspects of this work are:
1) We will investigate how limitation by either N or Si impacts the quantity and chemical composition of the DOM released by diatoms.
2) Assess how the differences in the chemical composition of the DOM produced under N or Si limitation affect its lability by examining the productivity, growth efficiency and community structure of heterotrophic bacterioplankton responding to the release of substrates.
3) Predicted DOM dynamics based on (1) and (2) will be tested in the field during diatom blooms in the Santa Barbara Channel, California.
While experiments investigating aspects of either 1 or 2 have been conducted successfully in the past (Lancelot, 1983; Billen and Fontigny, 1987; Goldman et al., 1992; Carlson et al.,1999; Cherrier and Bauer, 2004; Conan et al., 2007) ours will be the first study to combine these approaches in an integrated assessment of the mechanisms governing both the production and fate of DOM produced by diatom blooms experiencing limitation by different nutrients.
References:
Lancelot, C. (1983). Factors affecting phytoplankton extracellular release in the Southern Bight of the North Sea. Marine Ecology Progress Series 12: 115-121.
Billen, G. and A. Fontigny (1987). Dynamics of a Phaeocystis -dominated spring bloom in Belgian coastal waters. II. Bacterioplankton dynamics. Mar. Ecol. Prog. Ser. 37: 249-257.
Goldman, J.C., D.A. Hansell and M.R. Dennett (1992). Chemical characterization of three large oceanic diatoms: potential impact on water column chemistry. Marine Ecology Progress Series 88: 257-270.
Carlson, C.A., N.R. Bates, H.W. Ducklow and D.A. Hansell (1999). Estimation of bacterial respiration and growth efficiency in the Ross Sea, Antarctica. Aquatic Microbial Ecology 19: 229-244.
Cherrier, J. and J.E. Bauer (2004). Bacterial utilization of transient plankton-derived dissolved organic carbon and nitrogen inputs in surface ocean waters. Aquatic Microbial Ecology 35(3): 229-241.
Conan, P., M. Sondegaard, T. Kragh, F. Thingstad, M. Pujo-Pay, P.J.l.B. Williams, S. Markager, G. Cauwet, N.H. Borch, D. Evans and B. Rieman (2007). Partitioning of organic production in marine plankton communities: The effects of inorganic nutrient ratios and community composition on new dissolved organic matter. Limnology and Oceanography 52(2): 753-765.";
String projects_0_end_date "2014-03";
String projects_0_geolocation "Pacific California, Santa Barbara Channel";
String projects_0_name "Mechanisms controlling the production and fate of DOM during diatom blooms";
String projects_0_project_nid "2226";
String projects_0_start_date "2009-04";
String projects_1_acronym "SBC LTER";
String projects_1_description
"From http://www.lternet.edu/sites/sbc
The Santa Barbara Coastal LTER is located in the coastal zone of southern California near Santa Barbara. It is bounded by the steep east-west trending Santa Ynez Mountains and coastal plain to the north and the unique Northern Channel Islands archipelago to the south. Santa Barbara Coastal Long-Term Ecological Research (SBC) Project is headquartered at the University of California, Santa Barbara, and is part of the National Science Foundation’s (NSF) Long-Term Ecological Research (LTER) Network.
The research focus of SBC LTER is on ecological systems at the land-ocean margin. Although there is increasing concern about the impacts of human activities on coastal watersheds and nearshore marine environments, there have been few long-term studies of the linkages among oceanic, reef, sandy beaches, wetland, and upland habitats. SBC LTER is helping to fill this gap by studying the effects of oceanic and coastal watershed influences on kelp forests in the Santa Barbara Channel located off the coast of southern California. The primary research objective of SBC LTER is to investigate the relative importance of land vs. ocean processes in structuring giant kelp (Macrocystis pyrifera) forest ecosystems for different conditions of land use, climate and ocean influences.
SBC LTER Data: The Santa Barbara Coastal (SBC) LTER data are managed by and available directly from the SBC project data site URL shown above. If there are any datasets listed below, they are data sets that were collected at or near the SBC LTER sampling locations, and funded by NSF OCE as ancillary projects related to the SBC LTER core research themes. See the SBC LTER Data Overview page for access to data and information about data management policies.";
String projects_1_geolocation "Southern California Coastal Zone";
String projects_1_name "Santa Barbara Coastal Long Term Ecological Research site";
String projects_1_project_nid "2227";
String projects_1_project_website "http://sbc.lternet.edu/";
String projects_1_start_date "2000-04";
String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
String publisher_type "institution";
String sourceUrl "(local files)";
Float64 Southernmost_Northing 34.0984;
String standard_name_vocabulary "CF Standard Name Table v55";
String subsetVariables "DON";
String summary "The dataset includes experimental and survey biogeochemical and microbial data. Samples were collected during research cruises in April 2010 and May 2011 in the Santa Barbara Channel.";
String title "Experimental and survey biogeochemical and microbial data from R/V Point Sur cruises PS1009 and PS1103 in the Santa Barbara Channel from 2010-2011 (SBDOM project, SBC LTER project)";
String version "2";
Float64 Westernmost_Easting -120.6717;
String xml_source "osprey2erddap.update_xml() v1.3";
}
}
Data Access Protocol (DAP) and its
selection constraints.
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
Thus, the query is often a comma-separated list of desired variable names,
followed by a collection of
constraints (e.g., variable<value),
each preceded by '&' (which is interpreted as "AND").
For details, see the tabledap Documentation.