http://lod.bco-dmo.org/id/dataset/997784
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2026-04-30
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Dissolved inorganic macronutrient concentrations from submarine groundwater wells, riverine and estuarine endmembers along the West Florida Shelf sampled for the STING project between November 2022 and March 2024
2026-05-29
publication
2026-05-29
revision
BCO-DMO Linked Data URI
2026-05-29
creation
http://lod.bco-dmo.org/id/dataset/997784
Kristen Nicolle Buck
Oregon State University
principalInvestigator
Salvatore Caprara
Oregon State University
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Buck, K. N., Caprara, S. (2026) Dissolved inorganic macronutrient concentrations from submarine groundwater wells, riverine and estuarine endmembers along the West Florida Shelf sampled for the STING project between November 2022 and March 2024. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2026-05-29 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/997784 [access date]
STING Endmember Nutrients Dataset Description: Methods and Sampling: <p>Samples from the submarine groundwater wells and overlying water column were collected quarterly from November 2022 through March 2024 aboard U.S. Geological Survey (USGS) small boats. This sampling effort was led by collaborator Chris Smith at USGS. Water column samples were collected by lowering the sampling line, acid-cleaned ½” OD Bev-A-Line tubing attached to ¼” synthetic line that was weighed down by a 30 lb kettlebell to target depths. Surface samples were collected at ~1 m depth and bottom samples were collected from ~1 m above the sea floor. A separate sampling line of acid-cleaned 3/8” OD Bev-A-line connected to a custom-made PVC adapter was used for sampling the submarine groundwater wells, which had been installed by USGS. Different Teflon diaphragm pumps were used for the water column and wells samples to avoid cross contamination. Samples for macronutrient analysis were filtered through 0.2 µm Pall Acropak Super membrane filter capsules, collected in acid-cleaned and triple-rinsed 15-mL Falcon tubes and stored in ziplock bags and frozen (-20 ºC) until analyzed following recommended practices (Becker et al., 2020).</p>
<p>Samples for riverine and estuarine end members were collected by collaborators from the University of South Florida as described in Conway and Hunt (submitted). These macronutrient samples were filtered using an acid-cleaned and triple-rinsed polypropylene syringe coupled with a PVDF 0.2 µm filter, collected in acid-cleaned and triple-rinsed 15-mL Falcon tubes and stored in ziplock bags and frozen (-20 ºC) until analyzed following recommended practices (Becker et al., 2020).</p>
<p>Macronutrients samples were analyzed for phosphate, nitrate+nitrite, silicate, and nitrite on a QuAAtro39 AutoAnalyzer (SEAL Analytical) according to standard colorimetric methods (Strickland and Parsons, 1972). All reagents were prepared in dedicated labware with high purity Milli-Q (&gt;18 MΩ cm) water. Working standards were prepared fresh daily in an artificial seawater (ASW; 35 g/L sodium chloride, 0.5 g/L sodium bicarbonate) matrix using calibrated volumetric pipettes.</p>
<p>Nine-point standard curves were made in artificial seawater analyzed at the beginning of each run following a series of reagent blanks. Quality control checks were conducted every twelfth sample using a combination of ASW blanks and standards. The highest standard from the calibration curve was analyzed approximately every twenty samples to check/correct for drift during the runs. Subsamples of reference material for nutrients in seawater (Kanso) were measured in each run (see accompanying Table 1 in supplemental file).</p>
<p>Detection limits for each parameter were determined from three times the standard deviation of replicate lowest standards. Limits of detection were 0.01 µM for phosphate, 0.04 µM for nitrate+nitrite, 0.04 µM for silicate, and 0.01 µM for nitrite. Values below detection are reported as 0 µM with accompanying QC Flag 6. Limits of quantification (LOQ) for each parameter were determined as ten times the standard deviation of replicate analyses of the lowest standards. These are provided in the supplemental file, Table 2, as an alternative estimate of the analytical limitations for these parameters.</p>
<p>Sample analyses for macronutrients were performed by senior researcher Dr. Salvatore Caprara in the College of Earth, Ocean, and Atmospheric Sciences at Oregon State University.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2148836 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2148836
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2326719 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2326719
onGoing
Kristen Nicolle Buck
Oregon State University
541-737-7401
2651 SW Orchard Avenue CEOAS
Corvallis
OR
97331
USA
kristen.buck@oregonstate.edu
pointOfContact
Salvatore Caprara
Oregon State University
capraras@oregonstate.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
STING_ID
CRUISE_ID
DATETIME_UTC
DATETIME_LOCAL_ET
DATE_LOCAL
TIME_LOCAL
TIME_ZONE
LATITUDE
LONGITUDE
STN
SAMPLE_ID
SAMPLE_DESC
SITE_TYPE
PLATFORM
PO4_CONC
PO4_STDEV
PO4_COUNT
PO4_FLAG
NO3_NO2_CONC
NO3_NO2_STDEV
NO3_NO2_COUNT
NO3_NO2_FLAG
SiO4_CONC
SiO4_STDEV
SiO4_COUNT
SiO4_FLAG
NO2_CONC
NO2_STDEV
NO2_COUNT
NO2_FLAG
QuAAtro39 AutoAnalyzer (SEAL Analytical)
Yamada DP-5F High purity Pump
Almatec E15TTT Double PTFE Diaphram Pump
theme
None, User defined
sample identification
Cruise identifier
ISO_DateTime_UTC
ISO_DateTime_Local
date_local
time_local
time_zone
latitude
longitude
station
sample description
site description
platform
reactive phosphorus (PO4)
standard deviation
count
quality flag
nitrate plus nitrite
Silicate (reactive silica)
Nitrite
featureType
BCO-DMO Standard Parameters
Nutrient Autoanalyzer
Pump
Pump
instrument
BCO-DMO Standard Instruments
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
Collaborative Research: Linking iron and nitrogen sources in an oligotrophic coastal margin: Nitrogen fixation and the role of boundary fluxes
https://osprey.bco-dmo.org/project/880516
Collaborative Research: Linking iron and nitrogen sources in an oligotrophic coastal margin: Nitrogen fixation and the role of boundary fluxes
<p><strong>NSF Award Abstract:</strong><br />
This project will investigate how groundwater discharge delivers important nutrients to the coastal ecosystems of the West Florida Shelf. Preliminary studies indicate that groundwater may supply both dissolved organic nitrogen (DON) and iron in this region. In coastal ecosystems like the West Florida Shelf that have very low nitrate and ammonium concentrations, DON is the main form of nitrogen available to organisms. Nitrogen cycling is strongly affected by iron availability because iron is essential for both photosynthesis and for nitrogen fixation. This study will investigate the sources and composition of DON and iron, and their influence on the coastal ecosystem. The team will sample offshore groundwater wells, river and estuarine waters, and conduct two expeditions across the West Florida Shelf in winter and summer. Investigators will participate in K-12 and outreach activities to increase awareness of the project and related science. The project will fund the work of six graduate and eight undergraduate students across five institutions, furthering NSF’s goals of education and training.</p>
<p>Motivated by preliminary observations of unexplained, tightly-correlated DON and dissolved iron concentrations across the West Florida Shelf (WFS), the proposed work will quantify the flux and isotopic signatures of submarine groundwater discharge (SGD)-derived DON and iron to the WFS, and evaluate the bioavailability of this temporally-variable source using four seasonal near-shore campaigns sampling offshore groundwater wells, estuarine, and riverine endmembers and two cross-shelf cruises. The work will evaluate whether SGD stimulates nitrogen fixation on the WFS, and the potential for the stimulated nitrogen fixation to further modify the chemistry of DON and dissolved iron in the region. The cross-shelf cruises will investigate hypothesized periods of maximum SGD and Trichodesmium abundance (June), and reduced river discharge and SGD (February), thus comparing two distinct biogeochemical regimes. The concentrations and isotopic compositions of DON and dissolved iron, molecular composition of DON, and the concentration and composition of iron-binding ligands will be characterized. Nitrogen fixation rates and Trichodesmium spp. abundance and expression of iron stress genes will be measured. Fluxes of DON and iron from SGD and rivers will be quantified with radium isotope mass balances. The impacts of SGD on nitrogen fixation and DON/ligand production will be constrained with incubations of natural phytoplankton communities with submarine groundwater amendments. Two hypotheses will be tested: 1) SGD is the dominant source of bioavailable DON and dissolved iron on the WFS, and 2) SGD-alleviation of iron stress changes the dominant Trichodesmium species on the WFS, increases nitrogen fixation rates and modifies DON and iron composition. Overall, the work will establish connections between marine nitrogen and iron cycling and evaluate the potential for coastal inputs to modify water along the WFS before export to the Atlantic Ocean. This study will thus provide a framework to consider these boundary fluxes in oligotrophic coastal systems and the relative importance of rivers and SGD as sources of nitrogen and iron in other analogous locations, such as coastal systems in Australia, India, and Africa, where nitrogen fixation and SGD have also been documented.</p>
<p>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.</p>
West Florida Shelf DON and Fe
largerWorkCitation
project
eng; USA
oceans
-83.0012
-81.8474
26.3874
28.7669
2022-11-14
2024-03-08
Gulf of Mexico/America, West Florida Shelf
0
BCO-DMO catalogue of parameters from Dissolved inorganic macronutrient concentrations from submarine groundwater wells, riverine and estuarine endmembers along the West Florida Shelf sampled for the STING project between November 2022 and March 2024
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
http://lod.bco-dmo.org/id/dataset-parameter/1000265.rdf
Name: STING_ID
Units: unitless
Description: <p>Unique number assigned to each sampling event in STING project</p>
http://lod.bco-dmo.org/id/dataset-parameter/1000266.rdf
Name: CRUISE_ID
Units: unitless
Description: <p>Field sampling event ID</p>
http://lod.bco-dmo.org/id/dataset-parameter/1000267.rdf
Name: DATETIME_UTC
Units: unitless
Description: <p>Datetime when sample was collected (UTC)</p>
http://lod.bco-dmo.org/id/dataset-parameter/1000269.rdf
Name: DATETIME_LOCAL_ET
Units: unitless
Description: <p>Local datetime when sample was collected, Eastern (EST/EDT)</p>
http://lod.bco-dmo.org/id/dataset-parameter/1000270.rdf
Name: DATE_LOCAL
Units: units
Description: <p>Local date when sample was collected, Eastern (EST/EDT)</p>
http://lod.bco-dmo.org/id/dataset-parameter/1000271.rdf
Name: TIME_LOCAL
Units: units
Description: <p>Local time when sample was collected, Eastern (EST/EDT); 'nda' for 'no data available' or missing information</p>
http://lod.bco-dmo.org/id/dataset-parameter/1000272.rdf
Name: TIME_ZONE
Units: unitless
Description: <p>Time zone of local time based on date of sampling</p>
http://lod.bco-dmo.org/id/dataset-parameter/1000273.rdf
Name: LATITUDE
Units: decimal degrees
Description: <p>Latitude of sample collection, positive is North; 'nda' for 'no data available' or missing information</p>
http://lod.bco-dmo.org/id/dataset-parameter/1000275.rdf
Name: LONGITUDE
Units: decimal degrees
Description: <p>Longitude of sample collection, negative is West; 'nda' for 'no data available' or missing information</p>
http://lod.bco-dmo.org/id/dataset-parameter/1000277.rdf
Name: STN
Units: unitless
Description: <p>Field sampling station</p>
http://lod.bco-dmo.org/id/dataset-parameter/1000278.rdf
Name: SAMPLE_ID
Units: unitless
Description: <p>Sample identification combining station number and sample type</p>
http://lod.bco-dmo.org/id/dataset-parameter/1000279.rdf
Name: SAMPLE_DESC
Units: unitless
Description: <p>Sample classification: GD = groundwater deep, GS = groundwater shallow, SW = surface water, BW = bottom water, SBW = saline bottom water</p>
http://lod.bco-dmo.org/id/dataset-parameter/1000280.rdf
Name: SITE_TYPE
Units: unitless
Description: <p>Type of sampling site or environment: RIVER = river and estuarine water, SW = sea water, WELL = submarine groundwater wells</p>
http://lod.bco-dmo.org/id/dataset-parameter/1000281.rdf
Name: PLATFORM
Units: unitless
Description: <p>Platform used to collect the sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/1000282.rdf
Name: PO4_CONC
Units: Micromoles per liter (μM)
Description: <p>Concentrations of dissolved phosphate. 'na' for 'not applicable' used when no sample collected for this parameter</p>
http://lod.bco-dmo.org/id/dataset-parameter/1000283.rdf
Name: PO4_STDEV
Units: Micromoles per liter (μM)
Description: <p>Standard deviation of replicate phosphate concentration measurements. If only 2 replicates, the difference about the mean was used to calculate error. 'na' for 'not applicable' used when no error estimates calculated for this parameter</p>
http://lod.bco-dmo.org/id/dataset-parameter/1000284.rdf
Name: PO4_COUNT
Units: unitless
Description: <p>Number of analyses used for PO4_CONC. 'na' for 'not applicable' used when no sample was collected for this parameter</p>
http://lod.bco-dmo.org/id/dataset-parameter/1000285.rdf
Name: PO4_FLAG
Units: unitless
Description: <p>Quality flag for PO4</p>
http://lod.bco-dmo.org/id/dataset-parameter/1000286.rdf
Name: NO3_NO2_CONC
Units: Micromoles per liter (μM)
Description: <p>Concentrations of dissolved nitrate+nitrite. 'na' for 'not applicable' used when no sample collected for this parameter</p>
http://lod.bco-dmo.org/id/dataset-parameter/1000287.rdf
Name: NO3_NO2_STDEV
Units: Micromoles per liter (μM)
Description: <p>Standard deviation of replicate nitrate+nitrite concentration measurements. If only 2 replicates, the difference about the mean was used to calculate error. 'na' for 'not applicable' used when no error estimates calculated for this parameter</p>
http://lod.bco-dmo.org/id/dataset-parameter/1000288.rdf
Name: NO3_NO2_COUNT
Units: unitless
Description: <p>Number of analyses used for NO3_NO2_CONC. 'na' for 'not applicable' used when no sample was collected for this parameter</p>
http://lod.bco-dmo.org/id/dataset-parameter/1000289.rdf
Name: NO3_NO2_FLAG
Units: unitless
Description: <p>Quality flag for NO3_NO2</p>
http://lod.bco-dmo.org/id/dataset-parameter/1000290.rdf
Name: SiO4_CONC
Units: Micromoles per liter (μM)
Description: <p>Concentrations of dissolved silicate. 'na' for 'not applicable' used when no sample collected for this parameter</p>
http://lod.bco-dmo.org/id/dataset-parameter/1000291.rdf
Name: SiO4_STDEV
Units: Micromoles per liter (μM)
Description: <p>Standard deviation of replicate silicate concentration measurements. If only 2 replicates, the difference about the mean was used to calculate error. 'na' for 'not applicable' used when no error estimates calculated for this parameter</p>
http://lod.bco-dmo.org/id/dataset-parameter/1000292.rdf
Name: SiO4_COUNT
Units: unitless
Description: <p>Number of analyses used for SiO4_CONC. 'na' for 'not applicable' used when no sample was collected for this parameter</p>
http://lod.bco-dmo.org/id/dataset-parameter/1000293.rdf
Name: SiO4_FLAG
Units: unitless
Description: <p>Quality flag for SiO4</p>
http://lod.bco-dmo.org/id/dataset-parameter/1000294.rdf
Name: NO2_CONC
Units: Micromoles per liter (μM)
Description: <p>Concentrations of dissolved nitrite. 'na' for 'not applicable' used when no sample collected for this parameter</p>
http://lod.bco-dmo.org/id/dataset-parameter/1000295.rdf
Name: NO2_STDEV
Units: Micromoles per liter (μM)
Description: <p>Standard deviation of replicate nitrite concentration measurements. If only 2 replicates, the difference about the mean was used to calculate error. 'na' for 'not applicable' used when no error estimates calculated for this parameter</p>
http://lod.bco-dmo.org/id/dataset-parameter/1000296.rdf
Name: NO2_COUNT
Units: unitless
Description: <p>Number of analyses used for NO2_CONC. 'na' for 'not applicable' used when no sample was collected for this parameter</p>
http://lod.bco-dmo.org/id/dataset-parameter/1000297.rdf
Name: NO2_FLAG
Units: unitless
Description: <p>Quality flag for NO2</p>
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
https://osprey.bco-dmo.org/dataset/997784/data/download
download
onLine
dataset
<p>Samples from the submarine groundwater wells and overlying water column were collected quarterly from November 2022 through March 2024 aboard U.S. Geological Survey (USGS) small boats. This sampling effort was led by collaborator Chris Smith at USGS. Water column samples were collected by lowering the sampling line, acid-cleaned ½” OD Bev-A-Line tubing attached to ¼” synthetic line that was weighed down by a 30 lb kettlebell to target depths. Surface samples were collected at ~1 m depth and bottom samples were collected from ~1 m above the sea floor. A separate sampling line of acid-cleaned 3/8” OD Bev-A-line connected to a custom-made PVC adapter was used for sampling the submarine groundwater wells, which had been installed by USGS. Different Teflon diaphragm pumps were used for the water column and wells samples to avoid cross contamination. Samples for macronutrient analysis were filtered through 0.2 µm Pall Acropak Super membrane filter capsules, collected in acid-cleaned and triple-rinsed 15-mL Falcon tubes and stored in ziplock bags and frozen (-20 ºC) until analyzed following recommended practices (Becker et al., 2020).</p>
<p>Samples for riverine and estuarine end members were collected by collaborators from the University of South Florida as described in Conway and Hunt (submitted). These macronutrient samples were filtered using an acid-cleaned and triple-rinsed polypropylene syringe coupled with a PVDF 0.2 µm filter, collected in acid-cleaned and triple-rinsed 15-mL Falcon tubes and stored in ziplock bags and frozen (-20 ºC) until analyzed following recommended practices (Becker et al., 2020).</p>
<p>Macronutrients samples were analyzed for phosphate, nitrate+nitrite, silicate, and nitrite on a QuAAtro39 AutoAnalyzer (SEAL Analytical) according to standard colorimetric methods (Strickland and Parsons, 1972). All reagents were prepared in dedicated labware with high purity Milli-Q (&gt;18 MΩ cm) water. Working standards were prepared fresh daily in an artificial seawater (ASW; 35 g/L sodium chloride, 0.5 g/L sodium bicarbonate) matrix using calibrated volumetric pipettes.</p>
<p>Nine-point standard curves were made in artificial seawater analyzed at the beginning of each run following a series of reagent blanks. Quality control checks were conducted every twelfth sample using a combination of ASW blanks and standards. The highest standard from the calibration curve was analyzed approximately every twenty samples to check/correct for drift during the runs. Subsamples of reference material for nutrients in seawater (Kanso) were measured in each run (see accompanying Table 1 in supplemental file).</p>
<p>Detection limits for each parameter were determined from three times the standard deviation of replicate lowest standards. Limits of detection were 0.01 µM for phosphate, 0.04 µM for nitrate+nitrite, 0.04 µM for silicate, and 0.01 µM for nitrite. Values below detection are reported as 0 µM with accompanying QC Flag 6. Limits of quantification (LOQ) for each parameter were determined as ten times the standard deviation of replicate analyses of the lowest standards. These are provided in the supplemental file, Table 2, as an alternative estimate of the analytical limitations for these parameters.</p>
<p>Sample analyses for macronutrients were performed by senior researcher Dr. Salvatore Caprara in the College of Earth, Ocean, and Atmospheric Sciences at Oregon State University.</p>
Specified by the Principal Investigator(s)
<p>Data were flagged using the SeaDataNet quality flag scheme recommended by GEOTRACES (https://www.geotraces.org/geotraces-quality-flag-policy/) and described below. Notes specific to the application of these flags to this dataset are noted in brackets […].</p>
<p>0: No Quality Control: No quality control procedures have been applied to the data value. This is the initial status for all data values entering the working archive. [Not used].</p>
<p>1: Good Value: Good quality data value that is not part of any identified malfunction and has been verified as consistent with real phenomena during the quality control process. [See supplemental file, Table 1, for certified reference material values obtained in this study].</p>
<p>2: Probably Good Value: Data value that is probably consistent with real phenomena, but this is unconfirmed or data value forming part of a malfunction that is considered too small to affect the overall quality of the data object of which it is a part. [Used when no replicate measurements were available to check the quality of the data].</p>
<p>3: Probably Bad Value: Data value recognized as unusual during quality control that forms part of a feature that is probably inconsistent with real phenomena. [Not used].</p>
<p>4: Bad Value: An obviously erroneous data value. [Not used].</p>
<p>5: Changed Value: Data value adjusted during quality control. Best practice strongly recommends that the value before the change be preserved in the data or its accompanying metadata. [Not used].</p>
<p>6: Value Below Detection Limit: The level of the measured phenomenon was less than the limit of detection (LOD) for the method employed to measure it. The accompanying value is the detection limit for the technique or zero if that value is unknown. [Values below detection are reported as 0 and should be interpreted using the associated quality flag = 6.&nbsp;Detection limits for each parameter are provided in the methods, and calculated limits of detection and limits of quantification are provided in the accompanying Table 2 in the supplemental file].</p>
<p>7: Value in Excess: The level of the measured phenomenon was too large to be quantified by the technique employed to measure it. The accompanying value is the measurement limit for the technique. [Not used].</p>
<p>8: Interpolated Value: This value has been derived by interpolation from other values in the data object. [Not used].</p>
<p>9: Missing Value: The data value is missing. Any accompanying value will be a magic number representing absent data [Used when no data is available for this parameter].</p>
<p>A: Value Phenomenon Uncertain: There is uncertainty in the description of the measured phenomenon associated with the value such as chemical species or biological entity. [Not used].</p>
Specified by the Principal Investigator(s)
- Loaded CSV file "BCO-DMO_Buck_STING-Land_Nutrients_260206.csv" with headers from row 1, skipping row 2 (units row); missing values defined as "", "nd", "na", and "nda"
- Combined DATE_LOCAL (MM/DD/YY format) and TIME_LOCAL (HH:MM format) using America/New_York timezone to create DATETIME_LOCAL_ET as a datetime column formatted as ISO 8601 (YYYY-MM-DDTHH:MM); rows with missing time values produce null
- Created DATETIME_UTC by converting the same DATE_LOCAL and TIME_LOCAL inputs from America/New_York to UTC, formatted as ISO 8601
- Reordered columns placing STING_ID, CRUISE_ID, DATETIME_UTC, DATETIME_LOCAL_ET, DATE_LOCAL, TIME_LOCAL, and TIME_ZONE first, followed by location, sample metadata, and nutrient measurement columns
- Converted DATE_LOCAL from MM/DD/YY to ISO 8601 date format (YYYY-MM-DD), preserving America/New_York timezone context
- Renamed column TYPE to SITE_TYPE and SAMPLE to SAMPLE_DESC
- Renamed table from "res1" to "997784_v1_sting_land_nutrients"
- Output written to "997784_v1_sting_land_nutrients.csv"
Specified by BCO-DMO Data Managers
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
QuAAtro39 AutoAnalyzer (SEAL Analytical)
QuAAtro39 AutoAnalyzer (SEAL Analytical)
PI Supplied Instrument Name: QuAAtro39 AutoAnalyzer (SEAL Analytical) PI Supplied Instrument Description:Analyses: QuAAtro39 AutoAnalyzer (SEAL Analytical) was used to measure macronutrient concentrations in seawater samples. Instrument Name: Nutrient Autoanalyzer Instrument Short Name:Nutrient Autoanalyzer Instrument 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. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB04/
Yamada DP-5F High purity Pump
Yamada DP-5F High purity Pump
PI Supplied Instrument Name: Yamada DP-5F High purity Pump PI Supplied Instrument Description:TM pump 2: Yamada DP-5F High purity Pump fitted with a custom-made PVC adapter was deployed to collect SGD wells water samples. Instrument Name: Pump Instrument Short Name: Instrument Description: A pump is a device that moves fluids (liquids or gases), or sometimes slurries, by mechanical action. Pumps can be classified into three major groups according to the method they use to move the fluid: direct lift, displacement, and gravity pumps
Almatec E15TTT Double PTFE Diaphram Pump
Almatec E15TTT Double PTFE Diaphram Pump
PI Supplied Instrument Name: Almatec E15TTT Double PTFE Diaphram Pump PI Supplied Instrument Description:TM pump 1: Almatec E15TTT Double PTFE Diaphram Pump was deployed on 1/4” synthetic line weighted with a 30 lbs kettlebell to collect surface and bottom seawater samples. Instrument Name: Pump Instrument Short Name: Instrument Description: A pump is a device that moves fluids (liquids or gases), or sometimes slurries, by mechanical action. Pumps can be classified into three major groups according to the method they use to move the fluid: direct lift, displacement, and gravity pumps