| Contributors | Affiliation | Role |
|---|---|---|
| Levin, Lisa A. | University of California-San Diego Scripps (UCSD-SIO) | Principal Investigator |
| Bravo, María Emilia Emilia | Instituto Argentino de Oceanografía (CONICET-UNS) | Scientist |
| Pereira, Olívia Soares | University of California-San Diego Scripps (UCSD-SIO) | Student |
| Mickle, Audrey | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Pushcore, rocks, biotubes, and slurp samples were collected with HOV Alvin using the manipulator. Rocks were placed into individual compartments in a biobox on the Alvin basket. Before preserving, samples were kept cold and animals were handpicked to sample tissue for stable isotope analyses. The tissue (aprox. 0.5-2.5 mg) was placed in pre-weighted tin boats or combusted vials (500C overnight) and frozen at -70C.
In addition to natural abundance analyses, some animals were placed into mylar bags with addition of labeled C and N and protected from oxygen and light for incubation experiments. The bags were kept sealed in the ship's cold room for 3-8 days, and animals were then processed following the same method as for natural abundance samples.
Surface and bottom seawater was collected using a CTD/Rosette system and filtered through microglass fiber filters. Filters were frozen for further processing in the laboratory.
In the laboratory, tissue samples were oven dried (60C) overnight, weighed and acidified with 12.5-25 ul 1N H3PO4 to remove inorganic C. Stable isotopes measurements (d13C and d15N) were carried out using an isotope ratio mass spectrometer at the Stable Isotope Facility at University of California, Davis. Microglass fiber filters were oven dried (60C) overnight, and the material on the filters was scrapped off and place into pre-weighed tin boats. Samples were then processed following the same method as for tissue samples.
- Imported "AT50-24_Isotope data_BCO-DMO.xlsx" into the BCO-DMO system without formatting
- Applied the rounding formats that existed in the Excel document
- Converted the "Date (2024)" field to YYYY-MM-DD ISO 8601 format and renamed the field to "Date"
- Removed text "open all dive" and "not logged" from the navigation fields and put them into a new "Navigation_Comment" field
- Removed "not an animal" value from the from the dataset
- Corrected "-118.0000333" with "-148.00003" in the "Longitude" parameter, upon request of submitter
- Renamed fields to remove spaces and special characters to conform to BCO-DMO naming conventions
- Exported file as "984699_v1_at50-24_isotope_data.csv"
Aphia IDs were checked and provided by submitter upon submission (2025-07-01).
| File |
|---|
984699_v1_at50-24_isotope_data.csv (Comma Separated Values (.csv), 171.33 KB) MD5:185fccce3521da9a3457b203a53523de Primary data file for dataset ID 984699, version 1 |
| Parameter | Description | Units |
| Type | Whether the sample is for natural abundance or from the incubation experiment | unitless |
| Date | Date of sample collection | unitless |
| Alvin_Dive | Alvin Dive ID of sample collection | unitless |
| Site | Methane seep site of sample collection | unitless |
| Depth | Depth of sample collection | meters |
| Latitude | Latitude of sample collection, north is Positive | decimal degrees |
| Longitude | Longitude of sample collection, negative is West | decimal degrees |
| Navigation_Comment | Note on missing navigation value | unitless |
| Sample | Type of sample (rock, pushcore, bio tube, or other) and number | unitless |
| Sample_ID | Sample unique identifier consisting of alvin dive number, sample type, and sample number | unitless |
| Habitat | Habitat where sample was collected (active seep, clam bed, tubeworm bed, seep periphery, etc.) | unitless |
| Phylum | Phylum of the specimen | unitless |
| Taxon_ID | Identification at the lowest taxonomic level possible of specimen | unitless |
| AphiaID | AphiaID of the lowest, accepted taxonomic level of specimen; blank if not animal | unitless |
| Accepted_names | Lowest, accepted taxonomic level of specimen; blank if not animal | unitless |
| Incubation_treatment | Incubation treatment described as "Natural abundance" or an incubation treatment with labeled C and/or N of incubation: "13C bicarbonate_N2", "13C-bicarb + 13NH4+", "13C-bicarb + 15NO3-", "13C-ethane + 15NH4 Air", "13CH4 + 15N2 Air", "13CH4 + 15NH4+ Air", "13CH4 + 15NO3- Air", "13CH4 only" | unitless |
| d13C | C isotope value | ‰ (per mil) |
| d15N | N isotope value | ‰ (per mil) |
| Dataset-specific Instrument Name | CTD/Rosette system |
| Generic Instrument Name | CTD - profiler |
| Dataset-specific Description | Surface and bottom seawater was collected using a CTD/Rosette system and filtered through microglass fiber filters. Filters were frozen for further processing in the laboratory. |
| Generic 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. |
| Dataset-specific Instrument Name | Oven dried |
| Generic Instrument Name | Drying Oven |
| Dataset-specific Description | In the laboratory, tissue samples were oven dried (60C) overnight, weighed and acidified with 12.5-25 ul 1N H3PO4 to remove inorganic C. |
| Generic Instrument Description | a heated chamber for drying |
| Dataset-specific Instrument Name | HOV Alvin |
| Generic Instrument Name | HOV Alvin |
| Dataset-specific Description | Puschore, rocks, biotubes, and slurp samples were collected with HOV Alvin using the manipulator. |
| Generic Instrument Description | Human Occupied Vehicle (HOV) Alvin is part of the National Deep Submergence Facility (NDSF). Alvin enables in-situ data collection and observation by two scientists to depths reaching 6,500 meters, during dives lasting up to ten hours.
Commissioned in 1964 as one of the world’s first deep-ocean submersibles, Alvin has remained state-of-the-art as a result of numerous overhauls and upgrades made over its lifetime. The most recent upgrades, begun in 2011 and completed in 2021, saw the installation of a new, larger personnel sphere with a more ergonomic interior; improved visibility and overlapping fields of view; longer bottoms times; new lighting and high-definition imaging systems; improved sensors, data acquisition and download speed. It also doubled the science basket payload, and improved the command-and-control system allowing greater speed, range and maneuverability.
With seven reversible thrusters, it can hover in the water, maneuver over rugged topography, or rest on the sea floor. It can collect data throughout the water column, produce a variety of maps and perform photographic surveys. Alvin also has two robotic arms that can manipulate instruments, obtain samples, and its basket can be reconfigured daily based on the needs of the upcoming dive.
Alvin's depth rating of 6,500m gives researchers in-person access to 99% of the ocean floor. Alvin is a proven and reliable platform capable of diving for up to 30 days in a row before requiring a single scheduled maintenance day. Recent collaborations with autonomous vehicles such as Sentry have proven extremely beneficial, allowing PIs to visit promising sites to collect samples and data in person within hours of their being discovered, and UNOLs driven technological advances have improved the ability for scientific outreach and collaboration via telepresence
Alvin is named for Allyn Vine, a WHOI engineer and geophysicist who helped pioneer deep submergence research and technology.
(from https://www.whoi.edu/what-we-do/explore/underwater-vehicles/hov-alvin/, accessed 2022-09-09) |
| Dataset-specific Instrument Name | Isotope ratio mass spectrometer |
| Generic Instrument Name | Isotope-ratio Mass Spectrometer |
| Dataset-specific Description | Stable isotopes measurements (d13C and d15N) were carried out using an isotope ratio mass spectrometer at the Stable Isotope Facility at University of California, Davis. |
| Generic Instrument Description | The Isotope-ratio Mass Spectrometer is a particular type of mass spectrometer used to measure the relative abundance of isotopes in a given sample (e.g. VG Prism II Isotope Ratio Mass-Spectrometer). |
| Dataset-specific Instrument Name | Weighted |
| Generic Instrument Name | scale or balance |
| Dataset-specific Description | In the laboratory, tissue samples were oven dried (60C) overnight, weighed and acidified with 12.5-25 ul 1N H3PO4 to remove inorganic C. |
| Generic Instrument Description | Devices that determine the mass or weight of a sample. |
| Website | |
| Platform | R/V Atlantis |
| Start Date | 2024-05-16 |
| End Date | 2024-06-07 |
| Description | See more information from R2R: https://www.rvdata.us/search/cruise/AT50-24 |
NSF Award Abstract:
This research examines the role of deep-sea organisms in determining the fate and footprint of methane, a potent greenhouse gas, on Pacific continental margins. The investigators are evaluating the deep ocean methanosphere defined by the microbial communities that consume methane and the animals that directly feed on or form symbioses with methane-consuming microbes. They are also investigating animal communities that gain energy indirectly from methane, as well as those that take advantage of carbonate rocks, the physical manifestation of methane consumption in seafloor sediments. The study of methane seeps in the deep waters of both Alaska (4400-5500 meters) and Southern California (450-1040 meters) is enabling comparisons of the methanosphere under different food-limitation and oxygen regimes. By applying diverse chemical, isotopic, microscopy, and genetic-based analyses to seep microbes and fauna, this study is advancing understanding of the contribution of methane to deep-sea biodiversity and ecosystem function, information that can inform management and conservation actions in US waters. In addition to training for graduate and undergraduate students at their home institutions, the investigators are collaborating with the Alaska Native Science and Engineering Program (ANSEP). They are recruiting Alaskan undergraduates to participate in the research, contributing to ANSEP's online resources that promote interaction between scientists and middle and high school students, and participating in ANSEP's annual residential Career Exploration in Marine Science programs to engage middle school students in learning about deep-sea ecosystems and the variety of career pathways available in marine related fields.
Microbial production and consumption of methane is dynamic and widespread along continental margins, and some animals within deep-sea methane seeps rely on the oxidation and sequestration of methane for nutrition. At the same time, understanding of methane-dependent processes and symbioses in the deep-sea environment is still rudimentary. The goals of this study are to 1) examine the diversity of animals involved in methane-based symbioses and heterotrophic consumption of methane-oxidizing microbes and how these symbioses extend the periphery of seeps, contributing to non-seep, continental slope food webs; and 2) determine whether carbonates on the seep periphery sustain active methanotrophic microbial assemblages, providing a localized food source or chemical fuel for thiotrophic symbioses, via anaerobic oxidation of methane, or free-living, sulfide-oxidizing bacteria consumed by animals. The investigators are addressing these goals by surveying, sampling, and characterizing microbes, water, sediments, carbonates and animals at a deep seep site on the Aleutian Margin and a shallow site off Southern California. Shipboard experiments and laboratory analyses are using molecular, isotopic, geochemical, and radiotracer tools to understand transfer of methane-sourced carbon from aerobic methanotrophs under multiple oxygen levels, pressures, and photosynthetic food inputs. This approach offers a wide lens by which to examine the methane seep footprint, allow reinterpretation of past observations, and identify new scientific areas for future study. Improved characterization of the deep continental margin methanosphere informs climate science, biodiversity conservation, and resource management.
| Funding Source | Award |
|---|---|
| NSF Division of Ocean Sciences (NSF OCE) |