| Contributors | Affiliation | Role |
|---|---|---|
| Martiny, Adam | University of California-Irvine (UC Irvine) | Principal Investigator |
| Rauch, Shannon | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
For complete methdology, see Martiny et al, (2019).
Data have been aggregated from many studies. Procedures and methodology include the following:
Sampling procedures: Liquid samples taken from the Rosette or Underway System. Samples are either processed fresh or stored frozen until processing. Some samples are pre-filtered.
Methodology: High sensitivity dissolved phosphate measurements done using either Liquid Waveguide Cells, magnesium induced precipitation (MAGIC), or solid phase extraction.
Many instruments were used but the main procedures include: MAGIC (Karl & Tien, 1992), LWCC - Liquid Waveguide cells (Li & Hansell, 2008), and Solid phase extraction (Ma, Yuan, & Yuan, 2017).
BCO-DMO Processing:
- removed units from parameter names;
- reformatted month and day to two-digits;
- replaced "-9" as missing data identifier with "nd" in the day column;
- added date field formatted as yyyymmdd.
| File |
|---|
high_sensitivity_DIP.csv (Comma Separated Values (.csv), 2.47 MB) MD5:6f25c7d89b3d1a592009f17a1991edf5 Primary data file for dataset ID 764704 |
| Parameter | Description | Units |
| Lat | Latitude | degrees North |
| Lon | Longitude | degrees East |
| Depth | Sampling depth | meters (m) |
| DIP | Dissolved inorganic phophate | micromolar (uM) |
| Year | 4-digit year | unitless |
| Month | 2-digit month | unitless |
| Day | 2-digit day | unitless |
| Date | Date formatted as yyyymmdd | unitless |
| Dataset-specific Instrument Name | Liquid Waveguide Cells |
| Generic Instrument Name | Liquid Waveguide Capillary Cells |
| Dataset-specific Description | High sensitivity dissolved phosphate measurements done using either Liquid Waveguide Cells, magnesium induced precipitation (MAGIC), or solid phase extraction. |
| Generic Instrument Description | Liquid Waveguide Capillary Cells (LWCC) are optical sample cells that combine an increased optical pathlength (2-500 cm) with small sample volumes. They can be connected via optical fibers to a spectrophotometer with fiber optic capabilities. Similar to optical fibers, light is confined within the (liquid) core of an LWCC by total internal reflection at the core/wall interface. Ultra-sensitive absorbance measurements can be performed in the ultraviolet (UV), visible (VIS) and near-infrared (NIR) to detect low sample concentrations in a laboratory or process control environment. According to Beer’s Law the absorbance signal is proportional to chemical concentration and light path length. |
| Dataset-specific Instrument Name | Rosette |
| Generic Instrument Name | Niskin bottle |
| Dataset-specific Description | Liquid samples taken from the Rosette or Underway System. |
| Generic Instrument Description | A Niskin bottle (a next generation water sampler based on the Nansen bottle) is a cylindrical, non-metallic water collection device with stoppers at both ends. The bottles can be attached individually on a hydrowire or deployed in 12, 24, or 36 bottle Rosette systems mounted on a frame and combined with a CTD. Niskin bottles are used to collect discrete water samples for a range of measurements including pigments, nutrients, plankton, etc. |
| Dataset-specific Instrument Name | Underway System |
| Generic Instrument Name | Pump - Surface Underway Ship Intake |
| Dataset-specific Description | Liquid samples taken from the Rosette or Underway System. |
| Generic Instrument Description | The 'Pump-underway ship intake' system indicates that samples are from the ship's clean water intake pump. This is essentially a surface water sample from a source of uncontaminated near-surface (commonly 3 to 7 m) seawater that can be pumped continuously to shipboard laboratories on research vessels. There is typically a temperature sensor near the intake (known as the hull temperature) to provide measurements that are as close as possible to the ambient water temperature. The flow from the supply is typically directed through continuously logged sensors such as a thermosalinograph and a fluorometer. Water samples are often collected from the underway supply that may also be referred to as the non-toxic supply. Ideally the data contributor has specified the depth in the ship's hull at which the pump is mounted. |
NSF Award Abstract:
Due to their sheer abundance and high activity, microorganisms have the potential to greatly influence how ecosystems are affected by changes in their environment. However, descriptions of microbial physiology and diversity are local and highly complex and thus rarely considered in Earth System Models. Thus, the researchers focus on a convergence research framework that can qualitatively and quantitatively integrate eco-evolutionary changes in microorganisms with global biogeochemistry. Here, the investigators will develop an approach that integrates the knowledge and tools of biologists, mathematicians, engineers, and geoscientists to understand the link between the ocean nutrient and carbon cycles. The integration of data and knowledge from diverse fields will provide a robust, biologically rich, and computationally efficient prediction for the variation in plankton resource requirements and the biogeochemical implications, addressing a fundamental challenge in ocean science. In addition, the project can serve as a road map for many other research groups facing a similar lack of convergence between biology and geoscience.
Traditionally, the cellular elemental ratios of Carbon, Nitrogen, and Phosphorus (C:N:P) of marine communities have been considered static at Redfield proportions but recent studies have demonstrated strong latitudinal variation. Such regional variation may have large - but poorly constrained - implications for marine biodiversity, biogeochemical functioning, and atmospheric carbon dioxide levels. As such, variations in ocean community C:N:P may represent an important biological feedback. Here, the investigators propose a convergence research framework integrating cellular and ecological processes controlling microbial resource allocations with an Earth System model. The approach combines culture experiments and omics measurements to provide a molecular understanding of cellular resource allocations. Using a mathematical framework of increasing complexity describing communicating, moving demes, the team will quantify the extent to which local mixing, environmental heterogeneity and evolution lead to systematic deviations in plankton resource allocations and C:N:P. Optimization tools from engineering science will be used to facilitate the quantitative integration of models and observations across a range of scales and complexity levels. Finally, global ocean modeling will enable understanding of how plankton resource use impacts Earth System processes. By integrating data and knowledge across fields, scales and complexity, the investigators will develop a robust link between variation in plankton C:N:P and global biogeochemical cycles.
| Funding Source | Award |
|---|---|
| NSF Division of Ocean Sciences (NSF OCE) |