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:T813,

For time series collected at Tiny Towers hydrothermal vent with the PPS instrument, hydrothermal fluid samples were collected remotely and filtered through 0.4 micrometer (μm) polycarbonate filters, then preserved in RNALater in the instrument at the seafloor until instrument recovery. Upon recovery, filters were preserved at -80 degrees Celsius (C).

Other samples were collected using the UFO fluid sampler mounted aboard ROV Jason. Hydrothermal fluid samples were pumped through 0.2 μm Sterivex filters or into sterile 10 liter (L) bags mounted to the vehicle. Upon ROV recovery, Sterivex filters were preserved at -80 degrees C. Fluid from bags was filtered through 0.2 μm Sterivex filters, which were later preserved at -80 degrees C, and the filtrate was treated with iron chloride to precipitate viral particles. Precipitated viral particles were filtered through 1.0 μm polycarbonate filters and preserved at 4 degrees C until processing.

DNA was extracted from all filters using the MasterPure Complete DNA and RNA Purification Kit. Sterivex filters were cracked open prior to processing. PPS filters were cut in half prior to processing, and the second half was archived.

For viral metagenomes, viruses were reconstituted through an ascorbic acid buffer and then extracted using the Qiagen UltraSens Virus spin kit.

All samples were sequenced at the Northwest Genomics Center. Library construction was automated in 96-well plate format. At least 25 nanograms (ng) of genomic DNA was subjected to enzymatic fragmentation and a series of library construction steps utilizing the KAPA HyperPlus kit. All library construction steps were automated on the Perkin Elmer Janus platform. Libraries were validated using the Biorad CFX384 Real-Time System and KAPA Library Quantification Kit. Barcoded genome libraries were pooled using liquid handling robotics prior to loading. Massively parallel sequencing-by-synthesis with fluorescently labeled, reversibly terminating nucleotides was carried out on the NovaSeq sequencer.

1d:T50f,The Remotely Operated Vehicle (ROV) Jason is operated by the Deep Submergence Laboratory (DSL) at Woods Hole Oceanographic Institution (WHOI). WHOI engineers and scientists designed and built the ROV Jason to give scientists access to the seafloor that didn't require them leaving the deck of the ship. Jason is a two-body ROV system. A 10-kilometer (6-mile) fiber-optic cable delivers electrical power and commands from the ship through Medea and down to Jason, which then returns data and live video imagery. Medea serves as a shock absorber, buffering Jason from the movements of the ship, while providing lighting and a bird’s eye view of the ROV during seafloor operations. During each dive (deployment of the ROV), Jason pilots and scientists work from a control room on the ship to monitor Jason’s instruments and video while maneuvering the vehicle and optionally performing a variety of sampling activities. Jason is equipped with sonar imagers, water samplers, video and still cameras, and lighting gear. Jason’s manipulator arms collect samples of rock, sediment, or marine life and place them in the vehicle’s basket or on "elevator" platforms that float heavier loads to the surface. More information is available from the operator site at URL. https://ndsf.whoi.edu/jason/1e:Tc82,NSF Award Abstract: Microbes and viruses living near deep-sea hydrothermal vents act as filters for carbon, sulfur, iron, and other essential elements that emerge from the seafloor and flow into the global oceans. However, due to the challenges associated with sampling the deep sea, most studies to date have captured only snapshots of these communities, leaving significant knowledge gaps about how microbes and viruses adapt, evolve, and respond to changes in this environment. The researchers use infrastructure from the Ocean Observatories Initiative to conduct high-resolution monitoring of genetic changes over five years to investigate microbial communities’ function, ecology, and evolution at hydrothermal vents, which are thought to be one of the most ancient habitats on Earth. Data from this project are expected to be a valuable scientific resource for these and other researchers to address future questions. For example, it will inform our understanding about the early evolution of life on Earth and how microbes and their viruses respond to anthropogenic disturbances like deep-sea mining and climate change. This project engages and trains undergraduate students as scientific partners at all stages of the research process, facilitating their entry into scientific networks. Additionally, a new course guides college students in examining science within its cultural, political, and social context. The project also includes a program with a local elementary school to increase science literacy among young students. The main objective of this project is to understand the ecological and evolutionary forces that mold hydrothermal vent microbial and viral populations over time. This project uses instruments from the Ocean Observatories Initiative Regional Cabled Array (OOI RCA) at Axial Seamount in the Northeast Pacific Ocean to collect hydrothermal fluid and DNA samples at regular intervals, approximately every 10-20 days over five years, to yield a time series of microbial and viral abundances and metagenomes. The specific scientific aims of this project are to: 1) identify environmental drivers of microbial community composition and function through time-series analyses of 16S rRNA amplicon and metagenomic datasets combined with chemistry, pH, and temperature data; 2) use single nucleotide variant and gene content variation over time in metagenome-assembled genomes to investigate evolutionary dynamics of microbial populations; and 3) assess models of viral population dynamics by tracking microdiversity within viral and microbial metagenomes over time. Comparative samples and data collected from other vent sites are used to determine the generalization of the results. 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. This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2). This project is funded by the Biological Oceanography and the Ocean Education Programs (Division of Ocean Sciences) and the Systematics and Biodiversity Science Cluster (Division of Environmental Biology).6:["$","$L1b",null,{"dataset":{"_id":"986882","description":"","problem":"","acquisition":"$1c","processing":"","bcodmoProcessing":"- Imported original file \"SRA_metadata_CAREER_2025.txt\" into the BCO-DMO system.\r\n- Marked \"NA\" as a missing data value (missing data are empty/blank in the final CSV file).\r\n- Renamed fields to comply with BCO-DMO naming conventions.\r\n- Split the \"lat_lon\" column into two separate columns, \"latitude\" and \"longitude\".\r\n- Converted all dates in the \"collection_date\" column to YYYY-MM-DD format.\r\n- Split the original \"collection_date\" column into two, one for date and one for time.\r\n- Converted negative depth values to positive.\r\n- Saved the final file as \"986882_v1_hydrothermal_vent_metagenomes.csv\".","title":"Metagenome sequences from deep-sea hydrothermal vent microbial and viral communities collected at International District hydrothermal field, Axial Seamount during 2019, 2021, 2022, and 2023","nickname":"Hydrothermal vent microbial and viral metagenomes","dataUrl":"","currentState":"Final no updates expected","currentStateId":"7","validated":true,"restricted":false,"version":"1","version_date":"2026-01-08T05:00:00.000Z","abstract":"These data include metagenomes of both viruses and microbes collected during the Ocean Observatories Initiative's Regional Cabled Array (OOI RCA) annual maintenance cruises. Cruises occurred in 2019, 2021, 2022, and 2023. Instruments used included the Particle and Phytoplankton (PPS) DNA sampler deployed at Tiny Towers hydrothermal vent in the International District, as well as the Universal Fluid Obtainer (UFO) fluid sampler mounted aboard ROV Jason. These data assess changes in the microbial and viral community over time at Tiny Towers and at nearby hydrothermal vents, and were collected and processed by Dr. Rika Anderson at Carleton College.","citation":"Anderson, R. (2026) Metagenome sequences from deep-sea hydrothermal vent microbial and viral communities collected at International District hydrothermal field, Axial Seamount during 2019, 2021, 2022, and 2023. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2026-01-08 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.986882.1 [access date]","citationParts":{"identifier":"doi:10.26008/1912/bco-dmo.986882.1","versionDate":"2026-01-08","versionId":"1","year":"2026","title":"Metagenome sequences from deep-sea hydrothermal vent microbial and viral communities collected at International District hydrothermal field, Axial Seamount during 2019, 2021, 2022, and 2023","authors":"Anderson, R.","publisher":"Biological and Chemical Oceanography Data Management Office (BCO-DMO)."},"doi":"10.26008/1912/bco-dmo.986882.1","release_date":null,"field_dataset_location":"International District vent field at Axial Seamount","temporal_extent":{"start":"2019-06-01T04:00:00.000Z","end":"2023-09-16T04:00:00.000Z"},"temporal":{"resolution":"time:unitDay","type":"time:Interval","start":{"value":"1559361600","label":"2019-06-01"},"end":{"value":"1694836800","label":"2023-09-16"}},"spatial_extent":{"shape":"polygon","center":{"latitude":45.238256835001,"longitude":-127.70265435},"wkt":"POLYGON ((-130.013742 44.53281667, -125.3915667 44.53281667, -125.3915667 45.943697, -130.013742 45.943697, -130.013742 44.53281667))","north":45.943697,"east":-125.3915667,"south":44.53281667,"west":-130.013742},"dataset_type":["Cruise Results"],"keywords":["oceans"],"data_files":[{"id":"991191","title":"986882_v1_hydrothermal_vent_metagenomes.csv","url":"https://datadocs.bco-dmo.org/dataset/986882/file/DwvnznLUOAgz4R/986882_v1_hydrothermal_vent_metagenomes.csv","showTableUrl":"https://www.bco-dmo.org/dataset/986882/data/view/991191","description":"Primary data file for dataset ID 986882, version 1","filename":"986882_v1_hydrothermal_vent_metagenomes.csv","bytesize":18731,"checksum":{"value":"6eec62977467976885e17ef405bf44d6","Algorithm":{"_id":"190","name":"MD5"}},"mimetype":"text/csv","fileType":{"_id":"192","name":"Comma Separated Values (.csv)"},"isErddap":"bcodmo_dataset_986882_v1","date":"","isPublicDuringEmbargo":false,"primaryDataFile":true,"showTable":true,"restricted":false}],"supplemental_files":[],"roles":[{"role":{"_id":"138","name":"Principal Investigator"},"performedBy":{"_id":"852464","name":"Rika Anderson"},"performedAtOrganization":{"_id":"852463","name":"Carleton College"}},{"role":{"_id":"145","name":"BCO-DMO Data Manager"},"performedBy":{"_id":"51498","name":"Shannon Rauch"},"performedAtOrganization":{"_id":"191","name":"Woods Hole Oceanographic Institution"}}],"deployments":[{"_id":"990422","name":"AT42-12","synonyms":["VISIONS 2019","OOI Cabled Array Deployment 10"],"dates":{"start":"2019-06-02T00:00:00.000Z","end":"2019-07-09T00:00:00.000Z"},"platform":{"_id":"54003","name":"R/V Atlantis"},"chiefScientists":[{"id":"658618","name":"Deborah Kelley","role":"Chief Scientist"}]},{"_id":"990425","name":"TN393","synonyms":["VISIONS 2021"],"dates":{"start":"2021-08-01T00:00:00.000Z","end":"2021-09-03T00:00:00.000Z"},"platform":{"_id":"54017","name":"R/V Thomas G. Thompson"},"chiefScientists":[{"id":"959870","name":"Michael Vardaro","role":"Chief Scientist"}]},{"_id":"990428","name":"TN407","synonyms":["VISIONS 2022","OOI Cabled Array Deployment 13"],"dates":{"start":"2022-08-08T00:00:00.000Z","end":"2022-09-16T00:00:00.000Z"},"platform":{"_id":"54017","name":"R/V Thomas G. Thompson"},"chiefScientists":[{"id":"990433","name":"Orest Kawka","role":"Chief Scientist"}]},{"_id":"990430","name":"TN422","synonyms":["VISIONS 2023","OOI Cabled Array Deployment 14"],"dates":{"start":"2023-08-14T00:00:00.000Z","end":"2023-09-18T00:00:00.000Z"},"platform":{"_id":"54017","name":"R/V Thomas G. Thompson"},"chiefScientists":[{"id":"658618","name":"Deborah Kelley","role":"Chief Scientist"}]}],"funding":[{"_id":"852538","name":"OCE-2045697","fundingSource":{"_id":"355","name":"NSF Division of Ocean Sciences"},"url":"https://www.nsf.gov/awardsearch/show-award?AWD_ID=2045697"}],"instruments":[{"_id":"990421","name":"NovaSeq sequencer","description":"Massively parallel sequencing-by-synthesis with fluorescently labeled, reversibly terminating nucleotides was carried out on the NovaSeq sequencer.","type_id":"649","type_name":"Automated DNA Sequencer","type_desc":"A DNA sequencer is an instrument that determines the order of deoxynucleotides in deoxyribonucleic acid sequences.","type_acronym":"Automated Sequencer"},{"_id":"990417","name":"PPS Sampler","description":"PPS Sampler: Hydrothermal fluid samples were collected using a McLane PPS sampler deployed on the seafloor, with approximately 6L of fluid filtered through eac filter.","type_id":"990416","type_name":"McLane Particle and Phytoplankton Sampler","type_desc":"The McLane Particle and Phytoplankton Sampler (PPS) is an autonomous time-series particulate sampler. It consists of a stainless steel frame, aluminium controller housing, 25-port valve, pump and 24-filter holders containing 47mm 0.7 micron GF/F filters. Individual water samples are collected by user-defined time-series events. The 25 port valve physically isolates samples and pumps samples through the selected filter position before passing through the 50, 125, or 250 ml/min pump. The maximum volume per sample is 10 liters. The data recorded during a deployment include flow rates, volume pumped, pump feedback, power, temperature, and event times. These data are offloaded from the PPS after deployment and used for sample analysis. It is depth-rated to 5,500 m.","type_acronym":"PPS"},{"_id":"990420","name":"Biorad CFX384 Real-Time System","description":"Libraries were validated using the Biorad CFX384 Real-Time System and KAPA Library Quantification Kit.","type_id":"707569","type_name":"qPCR Thermal Cycler","type_desc":"An instrument for quantitative polymerase chain reaction (qPCR), also known as real-time polymerase chain reaction (Real-Time PCR).","type_acronym":"qPCR"},{"_id":"990419","name":"ROV Jason","description":"Hydrothermal fluid samplers were collected using the UFO fluid sampler mounted to ROV Jason.","type_id":"638","type_name":"ROV Jason","type_desc":"$1d","type_acronym":"ROV Jason"},{"_id":"991087","name":"UFO fluid sampler","description":"Hydrothermal fluid samplers were collected using the UFO fluid sampler mounted to ROV Jason.","type_id":"991086","type_name":"Universal Fluid Obtainer","type_desc":"The Universal Fluid Obtainer (UFO) is a specialized, community-developed fluid sampler designed to collect deep-sea fluids (like water and gases) from hydrothermal vents and other seafloor environments. It can be used with vehicles operated by the National Deep Submergence Facility (NDSF), including ROV Jason and HOV Alvin.\r\n\r\nThe UFO uses positive pumping and in situ filtering and preservation to capture fluids and preserve them for analysis back on the ship or in labs.","type_acronym":"UFO"}],"parameters":[{"_id":"990437","name":"Accession","format":"","frictionlessType":"string","description":"

Accession number in NCBI

","units":{"_id":"","name":"unitless"},"type":{"_id":"854959","name":"BioSample","description":"

The National Center for Biotechnology Information (NCBI) BioSample accession number in the BioSample database.

The BioSample database stores descriptive information about the physical biological materials used to generate data submitted to NCBI's primary data archives. Typical examples of a BioSample include a cell line, a tissue biopsy or an environmental isolate. The BioSample database promotes the use of structured and consistent attribute names and values to describe sample properties and provenance. BioSample records are reciprocally linked to data derived from that sample and to the BioProjects in which they participate.

This identifier usually begins with SAMN

"}},{"_id":"990438","name":"Sample_Name","format":"","frictionlessType":"string","description":"

Sample name

","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":"990439","name":"SPUID","format":"","frictionlessType":"string","description":"

Submitter Provided Unique ID

","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":"990440","name":"Organism","format":"","frictionlessType":"string","description":"

NCBI organism. Here all are hydrothermal vent metagenome.

","units":{"_id":"","name":"unitless"},"type":{"_id":"994","name":"taxon","description":"

taxonomic group or entity. This may be a family, class, genus, species, etc.; usually this parameter will contain a mixture of taxonomic entities.

"}},{"_id":"990441","name":"Tax_ID","format":"","frictionlessType":"integer","description":"

NCBI Tax ID. Here all correspond to hydrothermal vent metagenome.

","units":{"_id":"","name":"unitless"},"type":{"_id":"994","name":"taxon","description":"

taxonomic group or entity. This may be a family, class, genus, species, etc.; usually this parameter will contain a mixture of taxonomic entities.

"}},{"_id":"990442","name":"BioProject","format":"","frictionlessType":"string","description":"

NCBI BioProject.

","units":{"_id":"","name":"unitless"},"type":{"_id":"854958","name":"BioProject","description":"

The National Center for Biotechnology Information (NCBI) BioProject identifier.

A BioProject is a collection of biological data related to a single initiative, originating from a single organization or from a consortium. A BioProject record provides users a single place to find links to the diverse data types generated for that project.

"}},{"_id":"990443","name":"sample_name","format":"","frictionlessType":"string","description":"

Sample name.

","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":"990444","name":"collection_date","format":"%Y-%m-%d","frictionlessType":"date","description":"

Corresponds to the date (UTC) when the PPS was remotely triggered to collect the sample. Most of these samples were collected by remote triggering of an instrument deployed at the seafloor throughout the year, and the physical filters were recovered from the instruments during the cruises listed in the metadata.

","units":{"_id":"","name":"unitless"},"type":{"_id":"1070","name":"date","description":"

date; generally reported in GMT as YYYYMMDD (year; month; day); also as MMDD (month; day); EqPac dates are local Hawaii time. ISO_Date format is YYYY-MM-DD (http://www.iso.org/iso/home/standards/iso8601.htm)

"}},{"_id":"990445","name":"collection_time","format":"%H:%M","frictionlessType":"time","description":"

Corresponds to when the PPS was remotely triggered to collect sample. Most of these samples were collected by remote triggering of an instrument deployed at the seafloor throughout the year, and the physical filters were recovered from the instruments during the cruises listed in the metadata.

","units":{"_id":"","name":"unitless"},"type":{"_id":"1075","name":"time","description":"

Time GMT defined as HHMM; time of day; generally reported in GMT as HHMM (hours and minutes) but may also be HH.H (decimal hours) or HHMMSS (hours; minutes and seconds); in EqPac time is reported as Hawaii local time

"}},{"_id":"990446","name":"depth","format":"","frictionlessType":"number","description":"

Depth below sea surface in meters

","units":{"_id":"","name":"meters (m)"},"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":"990447","name":"env_broad_scale","format":"","frictionlessType":"string","description":"

NCBI enviromental broad scale. Here all are deep ocean.

","units":{"_id":"","name":"unitless"},"type":{"_id":"1740","name":"site_descrip","description":"

Description or characteristics of a sampling site

"}},{"_id":"990448","name":"env_local_scale","format":"","frictionlessType":"string","description":"

NCBI environmental local scale. Here all are hydrothermal vent

","units":{"_id":"","name":"unitless"},"type":{"_id":"1740","name":"site_descrip","description":"

Description or characteristics of a sampling site

"}},{"_id":"990449","name":"env_medium","format":"","frictionlessType":"string","description":"

NCBI environmental medium scale. Here all are a mixture of hydrothermal vent fluid and seawater.

","units":{"_id":"","name":"unitless"},"type":{"_id":"1740","name":"site_descrip","description":"

Description or characteristics of a sampling site

"}},{"_id":"990450","name":"geo_loc_name","format":"","frictionlessType":"string","description":"

NCBI Geographic location name. Here all were Pacific Ocean at Axial Seamount.

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

Sampling site identification.

"}},{"_id":"990451","name":"latitude","format":"","frictionlessType":"number","description":"

Latitude

","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":"990452","name":"longitude","format":"","frictionlessType":"number","description":"

Longitude

","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":"990453","name":"collection_method","format":"","frictionlessType":"string","description":"

Collection method

","units":{"_id":"","name":"unitless"},"type":{"_id":"864","name":"instrument","description":"

instrument used to collect or process data, definition is specific to the data set in which it appears

"}},{"_id":"990454","name":"temp","format":"","frictionlessType":"number","description":"

Temperature

","units":{"_id":"","name":"degrees Celsius"},"type":{"_id":"553763","name":"temperature","description":"

Temperature in degrees C of a sample or other item. A generic temperature measurement.

Note: This is NOT water temp or sea surface temp

"}}],"related_publications":[],"related_datasets":[{"_id":"","name":"","url":"https://www.ncbi.nlm.nih.gov/bioproject/PRJNA1001906/","relation_type":"IsRelatedTo","type_desc":"The dataset is related to another dataset.","relation_desc":"NCBI Bioproject. Contains both 16S rRNA sequences and metagenomic sequences from samples taken as part of a time series at Tiny Towers hydrothermal vent, as well as vents nearby as part of the time series study.","citation":"Consortium for Ocean Leadership. Hydrothermal vent microbial community time series. 2023/08. In: BioProject [Internet]. Bethesda, MD: National Library of Medicine (US), National Center for Biotechnology Information; 2011-. Available from: http://www.ncbi.nlm.nih.gov/bioproject/PRJNA1001906. NCBI:BioProject: PRJNA1001906."}],"services":[{"grouping":"","items":[{"name":"View Data","description":"An in-browser view of the primary tabular data file","url":"https://www.bco-dmo.org/dataset/986882/data/view","contentType":"text/html","actionType":"view"}]},{"grouping":"ERDDAP","items":[{"name":"SUBSET DATA","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986882_v1.html","contentType":"text/html","actionType":"tool"},{"name":"VIEW TABLE","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986882_v1.htmlTable","contentType":"text/html","actionType":"view"},{"name":"CSV","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986882_v1.csv","contentType":"text/csv","actionType":"download"},{"name":"TSV","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986882_v1.tsv","contentType":"text/tsv","actionType":"download"},{"name":"GeoJSON","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986882_v1.geoJson","contentType":"application/geo+json","actionType":"download"},{"name":"MATLAB","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986882_v1.mat","contentType":"text/x-matlab","actionType":"download"},{"name":"netCDF","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986882_v1.nc","contentType":"application/x-netcdf","actionType":"download"}]},{"grouping":"Metadata","items":[{"name":"HTML","description":"A simple HTML page of the dataset metadata","url":"https://www.bco-dmo.org/dataset/986882/description","contentType":"text/html","actionType":"view"},{"name":"PDF","description":"A PDF of the HTML dataset metadata","url":"https://www.bco-dmo.org/dataset/986882/Dataset_description.pdf","contentType":"application/pdf","actionType":"download"},{"name":"ISO 19115-2 (NOAA Profile)","description":"","url":"https://www.bco-dmo.org/dataset/986882/iso","contentType":"application/xml","actionType":"download"}]}],"programs":[],"projects":[{"_id":"852462","name":"CAREER: Temporal dynamics of microbial and viral function and adaptation in hydrothermal vents","acronym":"Vent omics time series","description":"$1e"}],"archives":[{"id_value":"10.26008/1912/bco-dmo.986882.1","url":"https://doi.org/10.26008/1912/bco-dmo.986882.1","date_assigned":"2026-01-10","version_date":"2026-01-08","archiver":"Woods Hole Oceanographic Institution (WHOI BCO-DMO)","archiver_id":"191"}],"license":{"name":"Creative Commons Attribution 4.0","id":"CC-BY-4.0","uri":"https://creativecommons.org/licenses/by/4.0/","spdxUri":"https://spdx.org/licenses/CC-BY-4.0"},"metrics":{"views":{"count":68},"downloads":{"count":166}}},"fileId":"991191"}]