http://lod.bco-dmo.org/id/dataset/1002701
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
2026-07-21
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Stoichiometric traits and environmental parameters from surface samples collected on GOSHIP expedition I08S in the Southern Indian Ocean from February 21 to April 1, 2024
2026-07-24
publication
2026-07-24
revision
BCO-DMO Linked Data URI
2026-07-24
creation
http://lod.bco-dmo.org/id/dataset/1002701
Edward Hall
Colorado State University
principalInvestigator
Deepika Sahoo
Colorado 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: Hall, E., Sahoo, D. (2026) Stoichiometric traits and environmental parameters from surface samples collected on GOSHIP expedition I08S in the Southern Indian Ocean from February 21 to April 1, 2024. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2026-07-24 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/1002701 [access date]
Trait Distributions I08S Dataset Description: Methods and Sampling: <p>At each of the 66 stations, we sampled surface water (~5 meters (m)) using a (SIO) STS 36-place yellow rosette sampler. We prepared samples for single-cell trait analyses in clean conditions by resting 3 to 5 drops (~10 microliters (µL)) of seawater on SF200 Ni grids (Cat: SF200-NI, Electron Microscopy Sciences) using a micropipette. The grids were air-dried for approximately 50 seconds between each drop of seawater. We removed the excess water using a tapered rolled corner of fresh Kimwipe, to avoid excess accumulation of salt particles on the grid. The process was repeated 3 to 5 times for each grid. In total, 6 to 10 grids were prepared for the surface water samples at each station. The samples were analyzed onshore in the Analytical Research Core's (ARC) electron microscope facility at Colorado State University, Fort Collins. We measured the dissolved nutrients, including ammonium, nitrite, nitrate, phosphate, and silicate onboard using a Seal Analytical continuous-flow AutoAnalyzer 3. Temperature, salinity, and fluorescence (chlorophyll) data were obtained from the sensors mounted on the CTD rosette sampler.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2134950 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2134950
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2135035 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2135035
onGoing
Edward Hall
Colorado State University
9704916355
200 W Lake
Fort Collins
CO
805214593
US
ed.hall@colostate.edu
pointOfContact
Deepika Sahoo
Colorado State University
MT
USA
deepika.sahoo@flbs.umt.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
WOCE_LINE
Cruise_ID
EXPOCODE
Station
Depth
Niskin_number
Sample_Id
ISO_DateTime_UTC
Latitude_cell_info
Latitude_sample_log
Longitude
Cell_num
C_N
N_P
C_P
Area
Temperature
Salinity
Silicate
Dissolved_Iron
Ammonium
Nitrate
Nitrite
Nitrate_Nitrite
Phosphate
Chlorophyll
Grid_location_box_num
Grid_Locations
Seal Analytical continuous-flow AutoAnalyzer 3
SIO STS 36-place yellow rosette sampler
JEOL JSM-6500F SEM
theme
None, User defined
cruise name
Cruise identifier
EXPOCODE
station
depth
bottle
sample identification
ISO_DateTime_UTC
latitude
longitude
sample description
Carbon to Nitrogen ratio (C:N)
Nitrogen to phosphorus ratio (N:P)
Carbon to Phosphorus ratio (C:P)
area
water temperature at measurement depth
salinity
Silicate, Si(OH)4, silicic acid
Iron
Ammonium
Nitrate
Nitrite
nitrate plus nitrite
phosphate
chlorophyll a
featureType
BCO-DMO Standard Parameters
Bran+Luebbe / SEAL Analytical AutoAnalyzer 3 (AA3) continuous-flow analyzer
CTD - profiler
Scanning Electron Microscope
instrument
BCO-DMO Standard Instruments
TN430
service
Deployment Activity
Transect from 23 S to 67 S in the southern Indian Ocean
place
Locations
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: The stoichiometric trait distribution of the marine microbiome
https://osprey.bco-dmo.org/project/893402
Collaborative Research: The stoichiometric trait distribution of the marine microbiome
<p><em>NSF Award Abstract:</em><br />
The elemental ratios of carbon, nitrogen, and phosphorus (C:N:P) have been considered fixed proportions in marine environments but recent work has demonstrated changes across latitudes. Such variation can have large implications for marine biogeochemistry and atmospheric CO_2 levels. As such, future variations in ocean community C:N:P could be a key feedback to global change. The elemental composition of particulate organic matter (POM) represents the aggregate value of diverse microorganisms as well as non-living particles. However, we currently do not understand how individual cells and particles contribute to observed variation in the C:N:P of POM. This project is determining the biomass C:N:P of individual microbial cells grown under a range of conditions and sampled from diverse ocean biomes. Because different individuals are likely to have different fates (e.g., loss to sinking, lysis, predation), understanding how the trait distribution of microbial biomass C:N:P relates to cell size and trophic mode and how environmental conditions affect each trait’s distribution offers new perspectives and insight into marine C, N, and P cycles. This project supports two PhD students and multiple undergraduate students. The PhD students are integrated into existing networks on microbiome science at each institution with opportunities to collaborate across diverse disciplines. Undergraduate students at both institutions are being recruited through existing training programs that target underrepresented groups. In addition, PI Hall is part of a collaborative of Ecologists and Poets at CSU, that look at ways to translate ecological relationships to non-traditional media to make it more accessible and impactful to the general public. This group is exploring the nature of individuality within the marine microbiome by creating trait distributions of written text and removing different modes of individuals (e.g., words) to better understand and communicate how individuals from the smallest organisms on the planet (marine microorganisms) can have large effects on the surrounding ecosystem (i.e., the planet). Results from this project are being incorporated into future projects of the working group at Colorado State University including public presentations, art installations, and published materials.</p>
<p>The aim of this project is to quantify the relationship between environmental conditions and marine microbial C:N:P by assessing the individuality in microbial elemental stoichiometry. To achieve this the project uses energy dispersive spectroscopy (EDS) to assess the stoichiometric trait distribution of populations and communities under different resource and temperature treatments and oceanographic field work across a broad latitudinal gradient. The researchers hypothesize that the relationship between the stoichiometry of particulate organic matter (POM) and environmental conditions are masked by distinct responses of individual constituents of the marine microbiome. They hypothesize that these distinct responses result in a multi-modal distribution of particulate carbon (C), nitrogen (N), and phosphorus (P) of the marine microbiome. The investigators are characterizing the distribution of three stoichiometric traits (biomass C:N, C:P, and N:P) for 50 marine isolates (both autotrophs and heterotrophs) under different resource and temperature environments. They are characterizing the same trait distribution for marine communities sampled from different regions of the ocean for the same resource and temperature environments as the population experiments. They are participating on an ocean going cruise to characterize stoichiometric trait distribution of the marine microbiome across natural gradients of resources and temperature. Understanding how constituent members of microbial communities alter their biomass in response to environmental change is providing a missing link between the variation in the ocean’s environment and particulate C:N:P ratios for diverse marine environments.</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>
StoichTraitD
largerWorkCitation
project
eng; USA
oceans
Transect from 23 S to 67 S in the southern Indian Ocean
76.6563
95.008
-67.1141
-28.3181
2024-03-04
2024-03-28
Indian Ocean; Laboratory Ecophysiology
0
BCO-DMO catalogue of parameters from Stoichiometric traits and environmental parameters from surface samples collected on GOSHIP expedition I08S in the Southern Indian Ocean from February 21 to April 1, 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/1002829.rdf
Name: WOCE_LINE
Units: unitless
Description: <p>Cruise expedition track in the southern Indian Ocean</p>
http://lod.bco-dmo.org/id/dataset-parameter/1002830.rdf
Name: Cruise_ID
Units: unitless
Description: <p>Unique identification of an expedition</p>
http://lod.bco-dmo.org/id/dataset-parameter/1002831.rdf
Name: EXPOCODE
Units: unitless
Description: <p>Expedition code</p>
http://lod.bco-dmo.org/id/dataset-parameter/1002832.rdf
Name: Station
Units: unitless
Description: <p>Location from where seawater was collected</p>
http://lod.bco-dmo.org/id/dataset-parameter/1002833.rdf
Name: Depth
Units: meters (m)
Description: <p>Depth</p>
http://lod.bco-dmo.org/id/dataset-parameter/1002835.rdf
Name: Niskin_number
Units: unitless
Description: <p>Number of niskin bottle carrying the seawater</p>
http://lod.bco-dmo.org/id/dataset-parameter/1002836.rdf
Name: Sample_Id
Units: unitless
Description: <p>Sample Id (station + depth)</p>
http://lod.bco-dmo.org/id/dataset-parameter/1002837.rdf
Name: ISO_DateTime_UTC
Units: unitless
Description: <p>Date and time (UTC) in ISO 8601 format</p>
http://lod.bco-dmo.org/id/dataset-parameter/1002839.rdf
Name: Latitude_cell_info
Units: degrees
Description: <p>Latitude in degrees North (negative values = South); from original file "IO8S_cell_info_with_environmental_DS_4302026.csv"</p>
http://lod.bco-dmo.org/id/dataset-parameter/1002840.rdf
Name: Latitude_sample_log
Units: degrees
Description: <p>Latitude in degrees North (negative values = South); from original file "I08S_EDS_Sample_Log_DS_4302026.csv"</p>
http://lod.bco-dmo.org/id/dataset-parameter/1002842.rdf
Name: Longitude
Units: degrees
Description: <p>Longitude in degrees East (positive values = East); from original file "I08S_EDS_Sample_Log_DS_4302026.csv"</p>
http://lod.bco-dmo.org/id/dataset-parameter/1002844.rdf
Name: Cell_num
Units: unitless
Description: <p>Cell number (sample ID + cell sample number)</p>
http://lod.bco-dmo.org/id/dataset-parameter/1002845.rdf
Name: C_N
Units: unitless
Description: <p>carbon nitrogen ratio</p>
http://lod.bco-dmo.org/id/dataset-parameter/1002846.rdf
Name: N_P
Units: unitless
Description: <p>nitrogen phosphorus ratio</p>
http://lod.bco-dmo.org/id/dataset-parameter/1002847.rdf
Name: C_P
Units: unitless
Description: <p>carbon phosphorus ratio</p>
http://lod.bco-dmo.org/id/dataset-parameter/1002848.rdf
Name: Area
Units: square microns
Description: <p>cell area</p>
http://lod.bco-dmo.org/id/dataset-parameter/1002849.rdf
Name: Temperature
Units: degrees Celsius
Description: <p>Temperature</p>
http://lod.bco-dmo.org/id/dataset-parameter/1002850.rdf
Name: Salinity
Units: unitless
Description: <p>Salinity</p>
http://lod.bco-dmo.org/id/dataset-parameter/1002851.rdf
Name: Silicate
Units: micromolar
Description: <p>Silicate</p>
http://lod.bco-dmo.org/id/dataset-parameter/1002852.rdf
Name: Dissolved_Iron
Units: nanomolar
Description: <p>dissolved iron</p>
http://lod.bco-dmo.org/id/dataset-parameter/1002853.rdf
Name: Ammonium
Units: micromolar
Description: <p>ammonium</p>
http://lod.bco-dmo.org/id/dataset-parameter/1002854.rdf
Name: Nitrate
Units: micromolar
Description: <p>nitrate</p>
http://lod.bco-dmo.org/id/dataset-parameter/1002855.rdf
Name: Nitrite
Units: micromolar
Description: <p>nitrite</p>
http://lod.bco-dmo.org/id/dataset-parameter/1002856.rdf
Name: Nitrate_Nitrite
Units: micromolar
Description: <p>Nitrate and Nitrite</p>
http://lod.bco-dmo.org/id/dataset-parameter/1002857.rdf
Name: Phosphate
Units: micromolar
Description: <p>phosphate</p>
http://lod.bco-dmo.org/id/dataset-parameter/1002858.rdf
Name: Chlorophyll
Units: milligrams per cubic meter (mg m-3)
Description: <p>Chl a</p>
http://lod.bco-dmo.org/id/dataset-parameter/1002859.rdf
Name: Grid_location_box_num
Units: unitless
Description: <p>Grid Box number</p>
http://lod.bco-dmo.org/id/dataset-parameter/1002860.rdf
Name: Grid_Locations
Units: unitless
Description: <p>Location of grid in grid box</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/1002701/data/download
download
onLine
dataset
<p>At each of the 66 stations, we sampled surface water (~5 meters (m)) using a (SIO) STS 36-place yellow rosette sampler. We prepared samples for single-cell trait analyses in clean conditions by resting 3 to 5 drops (~10 microliters (µL)) of seawater on SF200 Ni grids (Cat: SF200-NI, Electron Microscopy Sciences) using a micropipette. The grids were air-dried for approximately 50 seconds between each drop of seawater. We removed the excess water using a tapered rolled corner of fresh Kimwipe, to avoid excess accumulation of salt particles on the grid. The process was repeated 3 to 5 times for each grid. In total, 6 to 10 grids were prepared for the surface water samples at each station. The samples were analyzed onshore in the Analytical Research Core's (ARC) electron microscope facility at Colorado State University, Fort Collins. We measured the dissolved nutrients, including ammonium, nitrite, nitrate, phosphate, and silicate onboard using a Seal Analytical continuous-flow AutoAnalyzer 3. Temperature, salinity, and fluorescence (chlorophyll) data were obtained from the sensors mounted on the CTD rosette sampler.</p>
Specified by the Principal Investigator(s)
<p>We exported the spectral output generated by the Oxford EDAX system as an '.emsa'&nbsp;file type and processed the spectra using the freely available NIST-based DTSA II &nbsp;(Desktop Spectral Analyzer) software program (Jupiter release available at: <a href="http://www.cstl.nist.gov/div837/837.02/epq/dtsa2/" target="_blank">http://www.cstl.nist.gov/div837/837.02/epq/dtsa2/</a>). After stripping the background radiation from each spectrum, we determined the total counts within the pre-selected ranges using the DTSA software. The background-stripped counts in each characteristic peak were generated for both the sample and the film, and the film signal was subsequently subtracted from the sample signal. The elemental content in counts per second was further converted to cellular elemental content in femtomoles using the C, N, and P calibration factors. From these values, we calculated the individual traits (i.e., C:N, N:P, and C:P) for each microbe. We analyzed between 24 and&nbsp;88 individual cells per station. The calibration factors for C, N, and P were 13.64, 10.52, and 49.81 counts per second per femtomole, respectively. We used the probability density function to characterize the trait distributions using the "ggridges"&nbsp;package in RStudio (2025.05.1). Additionally, we computed the functional richness, functional evenness, and functional divergence of the trait distributions using the TPD package in RStudio. We selected an alpha value of 0.95 for each trait to make the analyses less sensitive to outliers. We also used ImageJ software to measure the cell area of microbes. It is free software available at <a href="https://imagej.net/ij/download.html" target="_blank">https://imagej.net/ij/download.html</a>. In ImageJ, we processed the SEM images of microbes, where the software automatically outlined the cells and calculated their corresponding area in square micrometers (µm<sup>2</sup>).</p>
Specified by the Principal Investigator(s)
- Imported the sample log from the original file "I08S_EDS_Sample_Log_DS_4302026.csv" as table "sample_log" in the BCO-DMO data processing system.
- Imported the primary cell-level data from the original file "IO8S_cell_info_with_environmental_DS_4302026_bco.csv" as table "cell_info" in the BCO-DMO data processing system.
- Applied find/replace on "Sample Id" in cell_info and "Sample" in sample_log to remove space-underscore patterns (" " → "") and normalize Sample IDs in both tables.
- Stripped "_Box 1" or "_Box 2" suffixes from "Sample" column in sample_log to normalize Sample IDs in both tables.
- Renamed columns in sample_log: Sample → Sample_Id, Date_UTC (mm/dd/yyyy hh:mm) → DateTime_UTC, Time_UTC (hh:mm) → Time_UTC, Lat → Latitude_sample_log, Long → Longitude.
- Renamed "Sample Id" → "Sample_Id" in cell_info to align join keys.
- Performed half-outer join of sample_log into cell_info on compound key {Sample_Id}{Niskin_num} (source) / {Sample_Id}{Niskin number}, bringing in Cruise_ID, DateTime_UTC, EXPOCODE, Grid_Locations, Grid_location_box_num, Latitude_sample_log, Longitude, Niskin_num, Sample_descrip, Time_UTC, WOCE_LINE from the sample_log.
- Converted DateTime_UTC (format "%m/%d/%Y %H:%M", UTC) to ISO 8601 datetime column "ISO_DateTime_UTC" (format "%Y-%m-%dT%H:%MZ").
- Deleted the original DateTime_UTC and Time_UTC columns.
- Multiplied Latitude_sample_log by "-1" to correct sign convention for Southern Hemisphere.
- Multiplied Latitude (from cell_info) by "-1" to correct sign convention for Southern Hemisphere; renamed to "Latitude_cell_info".
- Renamed columns to comply with BCO-DMO naming conventions.
- For rows where Sample_Id "S7_2.8 m", replaced Grid_Locations value "A1, A3, A5" with "Box 1: J4, J6, J8; Box 2: A1, A3, A5".
- For rows where Sample_Id "S7_2.8 m", replaced Grid_location_box_num value "2" with "Box 1: 1; Box 2: 2".
- Renamed table "cell_info" to "1002701_v1_io8s_cell_info".
- Filled all EXPOCODE values with "325020240221".
- Reordered columns to final order.
- Saved the final file as "1002701_v1_io8s_cell_info.csv".
- Imported original file "IO8S_stats.csv" into the BCO-DMO data processing system.
- Renamed columns to comply with BCO-DMO naming conventions.
- Saved the final file as "1002701_v1_supplemental_io8s_stats.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
Seal Analytical continuous-flow AutoAnalyzer 3
Seal Analytical continuous-flow AutoAnalyzer 3
PI Supplied Instrument Name: Seal Analytical continuous-flow AutoAnalyzer 3 PI Supplied Instrument Description:Measured the dissolved nutrients, including ammonium, nitrite, nitrate, phosphate, and silicate Instrument Name: Bran+Luebbe / SEAL Analytical AutoAnalyzer 3 (AA3) continuous-flow analyzer Instrument Short Name:AA3 AutoAnalyzer Instrument Description: The AutoAnalyzer 3 (AA3) is a segmented continuous-flow analyzer (continuous flow analyzer, CFA) used for automated colorimetric analysis of dissolved nutrients and other analytes in environmental, seawater, freshwater, wastewater, soil, and agricultural samples. The AA3 was originally manufactured by Bran+Luebbe and, following acquisition of the product line in 2006, has continued to be manufactured and supported by SEAL Analytical. The AA3 is the third-generation instrument in the Technicon AutoAnalyzer family and is widely used for determination of nitrate, nitrite, ammonium, phosphate, silicate, and other dissolved nutrients. See the description from the manufacturer. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB04/
SIO STS 36-place yellow rosette sampler
SIO STS 36-place yellow rosette sampler
PI Supplied Instrument Name: SIO STS 36-place yellow rosette sampler PI Supplied Instrument Description:Temperature, salinity, and fluorescence (chlorophyll) data were obtained from the sensors mounted on the CTD rosette sampler Instrument Name: CTD - profiler Instrument Short Name: Instrument Description: The Conductivity, Temperature, Depth (CTD) unit is an integrated instrument package designed to measure the conductivity, temperature, and pressure (depth) of the water column. The instrument is lowered via cable through the water column. It permits scientists to observe the physical properties in real-time via a conducting cable, which is typically connected to a CTD to a deck unit and computer on a ship. The CTD is often configured with additional optional sensors including fluorometers, transmissometers and/or radiometers. It is often combined with a Rosette of water sampling bottles (e.g. Niskin, GO-FLO) for collecting discrete water samples during the cast.
This term applies to profiling CTDs. For fixed CTDs, see https://www.bco-dmo.org/instrument/869934. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/130/
JEOL JSM-6500F SEM
JEOL JSM-6500F SEM
PI Supplied Instrument Name: JEOL JSM-6500F SEM PI Supplied Instrument Description:a JEOL JSM-6500F SEM equipped with an 80 mm2 Oxford X-max EDS detector Instrument Name: Scanning Electron Microscope Instrument Short Name:SEM Instrument Description: A scanning electron microscope (SEM) scans a focused electron beam over a surface to create an image. The electrons in the beam interact with the sample, producing various signals that can be used to obtain information about the surface topography and composition.
Cruise: TN430
TN430
R/V Thomas G. Thompson
Community Standard Description
International Council for the Exploration of the Sea
R/V Thomas G. Thompson
vessel
TN430
Lynne Talley
University of California-San Diego Scripps
R/V Thomas G. Thompson
Community Standard Description
International Council for the Exploration of the Sea
R/V Thomas G. Thompson
vessel