1b:I[42426,["/_next/static/immutable/chunks/1xctgzqre-wsy.js","/_next/static/immutable/chunks/06_-wz6pdtp2b.js","/_next/static/immutable/chunks/30e52g49hg40p.js","/_next/static/immutable/chunks/02yq6tul2z-oh.js","/_next/static/immutable/chunks/10bx_ec2vj7n_.js","/_next/static/immutable/chunks/33bfn03fo8xnt.js","/_next/static/immutable/chunks/0tfjf78scu61b.js","/_next/static/immutable/chunks/31xnvej4n1bi9.js"],"default"] 1c:T82e,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)1d:Td8f,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.6:["$","$L1b",null,{"dataset":{"_id":"964636","description":"","problem":"","acquisition":"

Hard-substrate samples were collected using the manipulator arm of the HOV Alvin and stored in individual compartments of a biobox mounted on the vehicle’s basket. Upon recovery and before preservation, samples were kept cold. Individual animals were hand-picked to provide tissue for stable isotope analyses (see related datasets). The remaining material was sieved through a 0.3 mm mesh to generate two fractions: a fine fraction (meiofauna) and a coarse fraction (macrofauna). Both fractions were preserved in 95% ethanol.

\n","processing":"

In the laboratory, rock samples were washed in distilled water through a 0.3 mm sieve and sorted under the microscope. Animals in rock samples were primarily identified to major taxa, counted, and preserved in 95% ethanol.

\n","bcodmoProcessing":"* Missing values originally recorded as N/A in the primary data file were replaced with blank fields.\r\n* Latitude and longitude values were rounded to six decimal places.\r\n* Special characters and spaces in column headers were replaced with underscores (_); question marks (\"?\") were replaced with the string \"uncertain\".\r\n* Date values were reformatted from %d-%b-%y to ISO 8601 format %Y-%m-%d.","title":"Macrofaunal morphospecies from hard-substrate methane seep samples collected on R/V Atlantis cruise AT50-12, Southern California Borderland from July 2023 (Methanosphere project)","nickname":"Methane Seep Macrofaunal Morphospecies","dataUrl":"","currentState":"Final no updates expected","currentStateId":"7","validated":true,"restricted":false,"version":"1","version_date":"2025-09-24T04:00:00.000Z","abstract":"This dataset documents macrofaunal communities associated with hard substrates (carbonate, phosphorite, and wood) collected from methane seeps in the Southern California Borderland. Samples were obtained with the HOV Alvin during R/V Atlantis cruise AT50-12 (July 16–28, 2023). The dataset provides morphospecies-level counts of macrofauna together with collection and sample metadata.","citation":"Lee, K., Pereira, O. S., Levin, L. A. (2025) Macrofaunal morphospecies from hard-substrate methane seep samples collected on R/V Atlantis cruise AT50-12, Southern California Borderland from July 2023 (Methanosphere project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-09-24 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.964636.1 [access date]","citationParts":{"identifier":"doi:10.26008/1912/bco-dmo.964636.1","versionDate":"2025-09-24","versionId":"1","year":"2025","title":"Macrofaunal morphospecies from hard-substrate methane seep samples collected on R/V Atlantis cruise AT50-12, Southern California Borderland from July 2023 (Methanosphere project)","authors":"Lee, K., Pereira, O. S., Levin, L. A.","publisher":"Biological and Chemical Oceanography Data Management Office (BCO-DMO)."},"doi":"10.26008/1912/bco-dmo.964636.1","release_date":null,"field_dataset_location":"Southern California Borderland","temporal_extent":{"start":"2021-08-02T04:00:00.000Z","end":"2023-07-16T04:00:00.000Z"},"temporal":{"resolution":"time:unitDay","type":"time:Interval","start":{"value":"1627876800","label":"2021-08-02"},"end":{"value":"1689480000","label":"2023-07-16"}},"spatial_extent":{"shape":"polygon","center":{"latitude":33.306609999997,"longitude":-118.02766099999},"wkt":"POLYGON ((-118.647181 32.813633, -117.408141 32.813633, -117.408141 33.799587, -118.647181 33.799587, -118.647181 32.813633))","north":33.799587,"east":-117.408141,"south":32.813633,"west":-118.647181},"dataset_type":["Cruise Results"],"keywords":["oceans"],"data_files":[{"id":"985356","title":"964636_v1_methane_seep_macrofaunal_morphospecies.csv","url":"https://datadocs.bco-dmo.org/dataset/964636/file/vm499oxt3LWQM/964636_v1_methane_seep_macrofaunal_morphospecies.csv","showTableUrl":"https://www.bco-dmo.org/dataset/964636/data/view/985356","description":"Primary data file for dataset ID 964636, version 1","filename":"964636_v1_methane_seep_macrofaunal_morphospecies.csv","bytesize":39857,"checksum":{"value":"01b18eca20e8c13435f93d1dda49cff9","Algorithm":{"_id":"190","name":"MD5"}},"mimetype":"text/csv","fileType":{"_id":"192","name":"Comma Separated Values (.csv)"},"isErddap":"","date":"","isPublicDuringEmbargo":false,"primaryDataFile":true,"showTable":true,"restricted":false}],"supplemental_files":[],"roles":[{"role":{"_id":"127","name":"Chief Scientist"},"performedBy":{"_id":"51242","name":"Lisa A. Levin"},"performedAtOrganization":{"_id":"26","name":"University of California-San Diego Scripps"}},{"role":{"_id":"138","name":"Principal Investigator"},"performedBy":{"_id":"51242","name":"Lisa A. Levin"},"performedAtOrganization":{"_id":"26","name":"University of California-San Diego Scripps"}},{"role":{"_id":"128","name":"Student"},"performedBy":{"_id":"951652","name":"Kendra Lee"},"performedAtOrganization":{"_id":"26","name":"University of California-San Diego Scripps"}},{"role":{"_id":"128","name":"Student"},"performedBy":{"_id":"845725","name":"Olívia Soares Pereira"},"performedAtOrganization":{"_id":"26","name":"University of California-San Diego Scripps"}},{"role":{"_id":"145","name":"BCO-DMO Data Manager"},"performedBy":{"_id":"852000","name":"Sawyer Newman"},"performedAtOrganization":{"_id":"191","name":"Woods Hole Oceanographic Institution"}}],"deployments":[{"_id":"946261","name":"AT50-12","synonyms":[],"dates":{"start":"2023-07-16T00:00:00.000Z","end":"2023-07-29T00:00:00.000Z"},"platform":{"_id":"54003","name":"R/V Atlantis"},"chiefScientists":[{"id":"51242","name":"Lisa A. Levin","role":"Chief Scientist"}]}],"funding":[{"_id":"840224","name":"OCE-2048720","fundingSource":{"_id":"355","name":"NSF Division of Ocean Sciences"},"url":"https://www.nsf.gov/awardsearch/show-award?AWD_ID=2048720"}],"instruments":[{"_id":"966612","name":"HOV Alvin","description":"Puschore, rocks, biotubes, and slurp samples were collected with HOV Alvin using the manipulator. ","type_id":"880039","type_name":"HOV Alvin","type_desc":"$1c","type_acronym":""},{"_id":"966613","name":"Wild Heerbrugg Stereomicroscope M5A","description":"In the laboratory, rock samples were washed in distilled water through a 0.3 mm sieve and sorted under the microscope. Animals in rock samples were primarily identified to major taxa, counted, and preserved in 95% ethanol.","type_id":"708","type_name":"Microscope - Optical","type_desc":"Instruments that generate enlarged images of samples using the phenomena of reflection and absorption of visible light. Includes conventional and inverted instruments. Also called a \"light microscope\".","type_acronym":""}],"parameters":[{"_id":"985066","name":"Alvin_Dive","format":"","frictionlessType":"string","description":"

Number of the Alvin dive from which the sample was collected.

","units":{"_id":"","name":"unitless"},"type":{"_id":"1122","name":"deploy","description":"

deployment number; often associated with sediment trap deployments

"}},{"_id":"985067","name":"Date_Deployed","format":"%Y-%m-%dT%H:%M:%S","frictionlessType":"datetime","description":"

Date sample was deployed.

","units":{"_id":"","name":"unitless"},"type":{"_id":"1109","name":"date_begin","description":"

date sampling begins such as YYYYMMDD

"}},{"_id":"985068","name":"Date_Recovered","format":"%Y-%m-%dT%H:%M:%S","frictionlessType":"datetime","description":"

Date sample was collected.

","units":{"_id":"","name":"unitless"},"type":{"_id":"1112","name":"date_re","description":"

date/time instrument/mooring recovered; as MMDDHHmm

"}},{"_id":"985069","name":"Site","format":"","frictionlessType":"string","description":"

Site name.

","units":{"_id":"","name":"unitless"},"type":{"_id":"1124","name":"site","description":"

Sampling site identification.

"}},{"_id":"985070","name":"Experiment","format":"","frictionlessType":"string","description":"

Experiment type.

","units":{"_id":"","name":"unitless"},"type":{"_id":"1850","name":"exp_type","description":"

Experiment type or description

"}},{"_id":"985071","name":"Substrate_Type","format":"","frictionlessType":"string","description":"

Substrate of sample.

","units":{"_id":"","name":"unitless"},"type":{"_id":"1741","name":"sample_descrip","description":"

text description or other traits of the sample collected

"}},{"_id":"985072","name":"Latitude","format":"","frictionlessType":"number","description":"

Latitude of sampling location in decimal degrees; a positive value indicates a northern coordinate.

","units":{"_id":"","name":"decimal degrees"},"type":{"_id":"730","name":"latitude","description":"

latitude, in decimal degrees, North is positive, negative denotes South; Reported in some datasets as degrees, minutes

"}},{"_id":"985073","name":"Longitude","format":"","frictionlessType":"number","description":"

Longitude of sampling location; a negative value indicates a western coordinate.

","units":{"_id":"","name":"decimal degrees"},"type":{"_id":"731","name":"longitude","description":"

longitude, in decimal degrees, East is positive, negative denotes West; Reported in some datasets as degrees, minutes

"}},{"_id":"985074","name":"Depth","format":"","frictionlessType":"number","description":"

Depth from which the sample was collected.

","units":{"_id":"","name":"meters"},"type":{"_id":"808","name":"depth","description":"

Observation/sample depth below the sea surface. Units often reported as: meters, feet.

\nWhen used in a JGOFS/GLOBEC dataset the depth is a best estimate; usually but not always calculated from pressure; calculated either from CTD pressure using Fofonoff and Millard (1982; UNESCO Tech Paper #44) algorithm adjusted for 1980 equation of state for seawater (EOS80) or simply equivalent to nominal depth as recorded during sampling if CTD pressure was unavailable.

"}},{"_id":"985075","name":"Depth_Category","format":"","frictionlessType":"string","description":"

Characterization of depth from which the sample was collected.

","units":{"_id":"","name":"unitless"},"type":{"_id":"1741","name":"sample_descrip","description":"

text description or other traits of the sample collected

"}},{"_id":"985076","name":"Oxygen","format":"","frictionlessType":"number","description":"

Oxygen concentration from which the sample was collected.

","units":{"_id":"","name":"micromoles per kilogram (umol/kg)"},"type":{"_id":"910","name":"dissolved Oxygen","description":"

dissolved oxygen concentration

"}},{"_id":"985077","name":"Oxygen_Category","format":"","frictionlessType":"string","description":"

Characterization of oxygen from which the sample was collected.

","units":{"_id":"","name":"unitless"},"type":{"_id":"1741","name":"sample_descrip","description":"

text description or other traits of the sample collected

"}},{"_id":"985078","name":"Seepage_Category","format":"","frictionlessType":"string","description":"

Characterization of seepage activity from which the sample was collected.

","units":{"_id":"","name":"unitless"},"type":{"_id":"1741","name":"sample_descrip","description":"

text description or other traits of the sample collected

"}},{"_id":"985079","name":"Sample_Number","format":"","frictionlessType":"string","description":"

Sample number.

","units":{"_id":"","name":"unitless"},"type":{"_id":"960","name":"sample","description":"

unique sample identification or number; any combination of alpha numeric characters; precise definition is file dependent

"}},{"_id":"985080","name":"Surface_Area","format":"","frictionlessType":"number","description":"

Surface area.

","units":{"_id":"","name":"square centimetres (cm^2)"},"type":{"_id":"662800","name":"surface_area","description":"

The total area of the surface of a three-dimensional object or organism. For example, a coral colony.

"}},{"_id":"985081","name":"Sample_ID","format":"","frictionlessType":"string","description":"

Alvin dive and sample number.

","units":{"_id":"","name":"count"},"type":{"_id":"960","name":"sample","description":"

unique sample identification or number; any combination of alpha numeric characters; precise definition is file dependent

"}},{"_id":"985082","name":"Acari_sp_1","format":"","frictionlessType":"integer","description":"

Number of individuals identified from taxon Acari (sp 1).