17 datasets found
  1. Larvae collected near deep-sea hydrothermal vent fields for microbiome study...

    • gbif.org
    • obis.org
    Updated May 31, 2021
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    Stace Beaulieu; Susan Mills; Lauren Mullineaux; Tyler Carrier; Adam Reitzel; Stace Beaulieu; Susan Mills; Lauren Mullineaux; Tyler Carrier; Adam Reitzel (2021). Larvae collected near deep-sea hydrothermal vent fields for microbiome study [Dataset]. http://doi.org/10.15468/d8pacg
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    Dataset updated
    May 31, 2021
    Dataset provided by
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Stace Beaulieu; Susan Mills; Lauren Mullineaux; Tyler Carrier; Adam Reitzel; Stace Beaulieu; Susan Mills; Lauren Mullineaux; Tyler Carrier; Adam Reitzel
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This dataset provides the sampling locations and identifications for a total of 60 larvae collected near deep-sea hydrothermal vent fields and used in a microbiome study by Carrier et al. (2020, submitted). The larvae were collected near hydrothermal vent fields on the East Pacific Rise (EPR 9°50'N vent field), on the Mariana Back-Arc Spreading Center (near Snail and Archaean vent fields), and in Pescadero Basin (Auka vent field) in the Gulf of California. This dataset is derived from a dataset in the Biological and Chemical Oceanography Data Management Office (BCO-DMO) repository (Beaulieu et al., 2021, doi:10.26008/1912/bco-dmo.839476.1) with the addition of two Darwin Core terms recommended for the Global Biodiversity Information Facility (GBIF; countryCode and kingdom). See the dataset in BCO-DMO for acquisition description, data columns removed that were not in the Darwin Core standard (e.g., Lowest_level_taxon_name_or_morphotype, microbiome_16S_Dryad), and associatedMedia. Note that the use of the Darwin Core term habitat differs from the standard definition; we describe the habitat as "hydrothermal vent" ENVO term http://purl.obolibrary.org/obo/ENVO_00000215 for those taxa for which we are confident that the adults live at a hydrothermal vent, otherwise NotDetermined. Funding to collect specimens was from the U.S. National Science Foundation (NSF) OCE-0424953 and OCE-1028862 and the Dalio Explore Fund, and funding to standardize these data to Darwin Core for sharing through the Ocean Biodiversity Information System was from NSF DEB-1558904 and OCE-1829773.

  2. d

    Larvae collected near Mariana Back-Arc hydrothermal vents in 2010

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    • bco-dmo.org
    • +1more
    Updated Mar 9, 2025
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    Stace Beaulieu; Susan Mills; Lauren Mullineaux (2025). Larvae collected near Mariana Back-Arc hydrothermal vents in 2010 [Dataset]. http://doi.org/10.26008/1912/bco-dmo.877284.1
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    Dataset updated
    Mar 9, 2025
    Dataset provided by
    Biological and Chemical Oceanography Data Management Office (BCO-DMO)
    Authors
    Stace Beaulieu; Susan Mills; Lauren Mullineaux
    Time period covered
    Sep 5, 2010 - Sep 11, 2010
    Area covered
    Description

    No description is available. Visit https://dataone.org/datasets/sha256%3A8a2b7b7fe5807d86b13ac7d8b703f69600e39554b6709fb4a876fffcf3cb9445 for complete metadata about this dataset.

  3. Data from: InterRidge Global Database of Active Submarine Hydrothermal Vent...

    • doi.pangaea.de
    html, tsv
    Updated May 26, 2020
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    Stace E Beaulieu; Kamil M Szafrański (2020). InterRidge Global Database of Active Submarine Hydrothermal Vent Fields Version 3.4 [Dataset]. http://doi.org/10.1594/PANGAEA.917894
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    html, tsvAvailable download formats
    Dataset updated
    May 26, 2020
    Dataset provided by
    PANGAEA
    Authors
    Stace E Beaulieu; Kamil M Szafrański
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Variables measured
    File name, File size, File format, Uniform resource locator/link to file
    Description

    The purpose of the InterRidge Global Database of Active Submarine Hydrothermal Vent Fields, hereafter referred to as the "InterRidge Vents Database," is to provide a comprehensive list of active submarine hydrothermal vent fields for use in academic research, education, and marine policy. This dataset includes a data table (flat file) and a map representing the InterRidge Vents Database Version 3.4. Version 3.4 was completed on 25 March 2020 with a total of 721 vent fields, with 666 confirmed or inferred active and 55 inactive (please note: the database is not comprehensive for inactive vent fields). The number of known active vent fields increased by 134 in the past decade since the publication of InterRidge Vents Database Version 2.1 (Beaulieu et al., 2013, doi:10.1002/2013GC004998). […]

  4. d

    Sampling locations and identifications for larvae collected near three...

    • dataone.org
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    • +2more
    Updated Mar 9, 2025
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    Stace Beaulieu; Tyler Carrier; Susan Mills; Lauren Mullineaux; Adam Reitzel (2025). Sampling locations and identifications for larvae collected near three deep-sea hydrothermal vent fields from 2007 to 2017 [Dataset]. http://doi.org/10.26008/1912/bco-dmo.839476.1
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    Dataset updated
    Mar 9, 2025
    Dataset provided by
    Biological and Chemical Oceanography Data Management Office (BCO-DMO)
    Authors
    Stace Beaulieu; Tyler Carrier; Susan Mills; Lauren Mullineaux; Adam Reitzel
    Time period covered
    Nov 29, 2007 - Nov 2, 2017
    Area covered
    Description

    This dataset provides the sampling locations and identifications for larvae collected near three deep-sea hydrothermal vent fields and used in a microbiome study by Carrier et al. (2021). This dataset provides metadata for larval and microbiome genetic sequence data in another repository (Carrier et al., 2021, doi.org/10.5061/dryad.sqv9s4n18). The data table is structured as a Darwin Core occurrence table so that it can be harvested by the Ocean Biodiversity Information System (OBIS) and Global Biodiversity Information Facility (GBIF). In addition to the data table, photographs are provided for some of the specimens. A .zip file of images is attached containing the .JPG files referenced by column \"associatedMedia\".

    Larvae were collected near three different hydrothermal vent fields with locality, Location, and waterBody (N. Pacific) specified in the data: East Pacific Rise, 9 50 N vent field, Tica vent site at N EPR; Mariana Back-Arc, Snail and Archaean vent fields in Mariana Trough; and Pescadero Basin, Auka vent field in Gulf of California.

  5. d

    Megafauna counts by taxon in images collected during three surveys (December...

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    • bco-dmo.org
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    Updated Mar 9, 2025
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    Stace Beaulieu; Michael Meneses; Ayinde Best; Lauren Dykman; Susan Mills; Jyun-nai Wu; Lauren Mullineaux (2025). Megafauna counts by taxon in images collected during three surveys (December 25, 2019, April 7 and 9, 2021) with deep-submergence vehicles at inactive sulfide mounds on the East Pacific Rise. [Dataset]. http://doi.org/10.26008/1912/bco-dmo.932975.1
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    Dataset updated
    Mar 9, 2025
    Dataset provided by
    Biological and Chemical Oceanography Data Management Office (BCO-DMO)
    Authors
    Stace Beaulieu; Michael Meneses; Ayinde Best; Lauren Dykman; Susan Mills; Jyun-nai Wu; Lauren Mullineaux
    Time period covered
    Dec 25, 2019 - Apr 9, 2021
    Area covered
    Description

    This dataset includes counts by taxon for megafauna in images collected during surveys with deep-submergence vehicles at inactive sulfide mounds near the 9 50’ N hydrothermal vent field on the East Pacific Rise. Images were collected with a down-looking digital still camera. We provide image areas for estimating megafauna density (counts per area of seafloor). Here we provide data from three surveys: one during HOV Alvin Dive 5044 at Lucky’s Mound on 25 December 2019 on cruise AT42-21 and two during ROV Jason II Dives 1309 and 1311, on the oceanic rise (between Lucky’s Mound and Sentry Spire) on 7 April 2021 and at Sentry Spire on 9 April 2021, respectively, on cruise RR2102. Megafauna were manually annotated to morphotype using ImageJ software. Morphotypes were identified to the lowest taxonomic level and assigned to a feeding mode. This dataset is provided in two formats: long-format comma-separated variable (csv) file and wide-format Excel (xlsx) file. This dataset is analyzed in a manuscript by Meneses et al. (2024).

  6. Data from: sFDvent: a global trait database for deep-sea hydrothermal-vent...

    • zenodo.org
    • data.niaid.nih.gov
    • +1more
    bin, csv, xls
    Updated Jun 1, 2022
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    Abbie S. Chapman; Stace E. Beaulieu; Ana Colaço; Andrey V. Gebruk; Ana Hilario; Terue C. Kihara; Eva Ramirez-Llodra; Jozée Sarrazin; Verena Tunnicliffe; Diva J. Amon; Maria C. Baker; Rachel E. Boschen-Rose; Chong Chen; Isabelle J. Cooper; Jonathan T. Copley; Laure Corbari; Erik E. Cordes; Daphne Cuvelier; Sébastien Duperron; Cherisse Du Preez; Sabine Gollner; Tammy Horton; Stéphane Hourdez; Elena M. Krylova; Katrin Linse; P. A. LokaBharathi; Leigh Marsh; Marjolaine Matabos; Susan W. Mills; Lauren S. Mullineaux; Hans Tore Rapp; William D.K. Reid; Elena Rybakova (Goroslavskaya); Tresa R.A. Thomas; Samuel James Southgate; Sabine Stöhr; Phillip J. Turner; Hiromi K. Watanabe; Moriaki Yasuhara; Amanda E. Bates; Abbie S. Chapman; Stace E. Beaulieu; Ana Colaço; Andrey V. Gebruk; Ana Hilario; Terue C. Kihara; Eva Ramirez-Llodra; Jozée Sarrazin; Verena Tunnicliffe; Diva J. Amon; Maria C. Baker; Rachel E. Boschen-Rose; Chong Chen; Isabelle J. Cooper; Jonathan T. Copley; Laure Corbari; Erik E. Cordes; Daphne Cuvelier; Sébastien Duperron; Cherisse Du Preez; Sabine Gollner; Tammy Horton; Stéphane Hourdez; Elena M. Krylova; Katrin Linse; P. A. LokaBharathi; Leigh Marsh; Marjolaine Matabos; Susan W. Mills; Lauren S. Mullineaux; Hans Tore Rapp; William D.K. Reid; Elena Rybakova (Goroslavskaya); Tresa R.A. Thomas; Samuel James Southgate; Sabine Stöhr; Phillip J. Turner; Hiromi K. Watanabe; Moriaki Yasuhara; Amanda E. Bates (2022). Data from: sFDvent: a global trait database for deep-sea hydrothermal-vent fauna [Dataset]. http://doi.org/10.5061/dryad.cn2rv96
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    bin, xls, csvAvailable download formats
    Dataset updated
    Jun 1, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Abbie S. Chapman; Stace E. Beaulieu; Ana Colaço; Andrey V. Gebruk; Ana Hilario; Terue C. Kihara; Eva Ramirez-Llodra; Jozée Sarrazin; Verena Tunnicliffe; Diva J. Amon; Maria C. Baker; Rachel E. Boschen-Rose; Chong Chen; Isabelle J. Cooper; Jonathan T. Copley; Laure Corbari; Erik E. Cordes; Daphne Cuvelier; Sébastien Duperron; Cherisse Du Preez; Sabine Gollner; Tammy Horton; Stéphane Hourdez; Elena M. Krylova; Katrin Linse; P. A. LokaBharathi; Leigh Marsh; Marjolaine Matabos; Susan W. Mills; Lauren S. Mullineaux; Hans Tore Rapp; William D.K. Reid; Elena Rybakova (Goroslavskaya); Tresa R.A. Thomas; Samuel James Southgate; Sabine Stöhr; Phillip J. Turner; Hiromi K. Watanabe; Moriaki Yasuhara; Amanda E. Bates; Abbie S. Chapman; Stace E. Beaulieu; Ana Colaço; Andrey V. Gebruk; Ana Hilario; Terue C. Kihara; Eva Ramirez-Llodra; Jozée Sarrazin; Verena Tunnicliffe; Diva J. Amon; Maria C. Baker; Rachel E. Boschen-Rose; Chong Chen; Isabelle J. Cooper; Jonathan T. Copley; Laure Corbari; Erik E. Cordes; Daphne Cuvelier; Sébastien Duperron; Cherisse Du Preez; Sabine Gollner; Tammy Horton; Stéphane Hourdez; Elena M. Krylova; Katrin Linse; P. A. LokaBharathi; Leigh Marsh; Marjolaine Matabos; Susan W. Mills; Lauren S. Mullineaux; Hans Tore Rapp; William D.K. Reid; Elena Rybakova (Goroslavskaya); Tresa R.A. Thomas; Samuel James Southgate; Sabine Stöhr; Phillip J. Turner; Hiromi K. Watanabe; Moriaki Yasuhara; Amanda E. Bates
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Traits are increasingly being used to quantify global biodiversity patterns, with trait databases growing in size and number, across diverse taxa. Despite growing interest in a trait-based approach to the biodiversity of the deep sea, where the impacts of human activities (including seabed mining) accelerate, there is no single repository for species traits for deep-sea chemosynthesis-based ecosystems, including hydrothermal vents. Using an international, collaborative approach, we have compiled the first global-scale trait database for deep-sea hydrothermal-vent fauna - sFDvent (sDiv-funded trait database for the Functional Diversity of vents). We formed a funded working group to select traits appropriate to: i) capture the performance of vent species and their influence on ecosystem processes, and ii) compare trait-based diversity in different ecosystems. Forty contributors, representing expertise across most known hydrothermal-vent systems and taxa, scored species traits using online collaborative tools and shared workspaces. Here, we typify the sFDvent database, describe our approach, and evaluate its scope. Finally, we compare the sFDvent database to similar databases from shallow-marine and terrestrial ecosystems to highlight how the sFDvent database can inform cross-ecosystem comparisons. We also make the sFDvent database publicly available online by assigning a persistent, unique doi. 646 vent species names, associated location information (33 regions), and scores for 13 traits (in categories: community structure, generalist/specialist, geographic distribution, habitat use, life history, mobility, species associations, symbiont, and trophic structure). Contributor IDs, certainty scores, and references are also provided. Global coverage (grain size: ocean basin), spanning eight ocean basins, including vents on 12 mid-ocean ridges and 6 back-arc spreading centres. sFDvent includes information on deep-sea vent species, and associated taxonomic updates, since they were first discovered in 1977. Time is not recorded. The database will be updated every five years. Deep-sea hydrothermal-vent fauna with species-level identification present or in progress. .csv and MS Excel (.xlsx)

  7. m

    Processed Larval Flux Time Series Data from the East Pacific Rise at 9N...

    • marine-geo.org
    xls
    Updated Feb 18, 2011
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    Diane Adams; Lauren Mullineaux; Stace Beaulieu (2011). Processed Larval Flux Time Series Data from the East Pacific Rise at 9N acquired during R/V Atlantis expedition AT11-20 (2004) [Dataset]. http://doi.org/10.1594/IEDA/317134
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    xlsAvailable download formats
    Dataset updated
    Feb 18, 2011
    Dataset provided by
    Marine Geoscience Data System (MGDS)
    Authors
    Diane Adams; Lauren Mullineaux; Stace Beaulieu
    License

    Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
    License information was derived automatically

    Description

    Abstract: This data set was acquired during Atlantis expedition AT11-20 conducted in 2004 (Chief Scientist: Dr. Marvin Lilley. Investigators: Dr. Diane Adams, Dr. Lauren Mullineaux, and Dr. Stace Beaulieu). The data files are in Microsoft Excel format and include Larval Flux time series data that was processed after data collection. Data was acquired as part of the projects: Biocomplexity: Smart Sensors for In Situ Monitoring of Hydrothermal Vent Systems; Establishing a Role for Fe and S Microbial Metabolism in Ocean Crust Weathering; Time-Series Larval Studies in the Deep Sea; and The Interaction of Microbial Biofilms and Fluid Chemistry on Larval Settlement. Funding was provided by NSF grants: OCE01-19999, OCE02-41791, and DOEI. This data was cited by Beaulieu et al., 2009 and Adams and Mulline aux, 2008.

  8. d

    Data from: Larvae of deep-sea invertebrates harbor low-diversity bacterial...

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    • zenodo.org
    • +1more
    Updated Jun 25, 2025
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    Tyler Carrier; Stace Beaulieu; Susan Mills; Lauren Mullineaux; Adam Reitzel (2025). Larvae of deep-sea invertebrates harbor low-diversity bacterial communities [Dataset]. http://doi.org/10.5061/dryad.sqv9s4n18
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    Dataset updated
    Jun 25, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Tyler Carrier; Stace Beaulieu; Susan Mills; Lauren Mullineaux; Adam Reitzel
    Time period covered
    Jan 1, 2020
    Description

    Microbial symbionts are a common life-history character of marine invertebrates and their developmental stages. Communities of bacteria that associate with the eggs, embryos, and larvae of coastal marine invertebrates are species-specific and correlate with aspects of host biology and ecology. The richness of bacteria associated with the developmental stages of coastal marine invertebrates spans four orders of magnitude from single mutualists to 1,000s of unique taxa. If the developmental stages of coastal species are broadly representative of marine invertebrates then we may expect deep-sea species to associate with bacterial communities that are similar in diversity. To test this, we used amplicon sequencing to profile the bacterial communities of invertebrate larvae from multiple phyla (annelids, molluscs, crustaceans) collected from 2,500 to 3,670 meters depth in near-bottom waters near hydrothermal vents in three different regions of the Pacific Ocean (East Pacific Rise, Mariana Ba...

  9. e

    Data from: Data Package Design for Special Cases

    • portal.edirepository.org
    • search.dataone.org
    pdf
    Updated Feb 19, 2021
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    Corinna Gries; Stace Beaulieu; Renee Brown; Sarah Elmendorf; Hap Garritt; Gastil Gastil-Buhl; Hsun-Yi Hsieh; Li Kui; Mary Martin; Greg Maurer; An Nguyen; John Porter; Adam Sapp; Mark Servilla; Timothy Whiteaker (2021). Data Package Design for Special Cases [Dataset]. http://doi.org/10.6073/pasta/9d4c803578c3fbcb45fc23f13124d052
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    pdf(574672 bytes)Available download formats
    Dataset updated
    Feb 19, 2021
    Dataset provided by
    EDI
    Authors
    Corinna Gries; Stace Beaulieu; Renee Brown; Sarah Elmendorf; Hap Garritt; Gastil Gastil-Buhl; Hsun-Yi Hsieh; Li Kui; Mary Martin; Greg Maurer; An Nguyen; John Porter; Adam Sapp; Mark Servilla; Timothy Whiteaker
    Time period covered
    2021
    Description

    In this document we consider special cases for archiving research data based on their data type, format, or acquisition method, and recommend practices that ensure optimal re-usability of the data. Most recommendations here are aimed at improving documentation of data acquisition and processing to avoid misinterpretation. This includes the recommendation to publish raw data and/or processing code along with the data products. Others are aimed at usability in terms of data size/volume or connecting related data. Some recommendations involve including a metadata document formatted according to a new and emerging standard (e.g., codeMeta) or a data inventory table. Data inventory tables can cross the line between metadata and data and are intended to improve discoverability and navigation of archived data.

  10. Gastropod counts by species collected from inactive sulfides on the East...

    • gbif.org
    • bco-dmo.org
    • +2more
    Updated Mar 19, 2025
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    Stace Beaulieu; Chong Chen; Michael Meneses; Lauren Dykman; Susan Mills; Lauren Mullineaux; Stace Beaulieu; Chong Chen; Michael Meneses; Lauren Dykman; Susan Mills; Lauren Mullineaux (2025). Gastropod counts by species collected from inactive sulfides on the East Pacific Rise during R/V Roger Revelle cruise RR2102 in April 2021 and R/V Atlantis cruise AT50-06 in December 2022 [Dataset]. http://doi.org/10.26008/1912/bco-dmo.946438.1
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    Dataset updated
    Mar 19, 2025
    Dataset provided by
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    United States Geological Survey
    Authors
    Stace Beaulieu; Chong Chen; Michael Meneses; Lauren Dykman; Susan Mills; Lauren Mullineaux; Stace Beaulieu; Chong Chen; Michael Meneses; Lauren Dykman; Susan Mills; Lauren Mullineaux
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Apr 9, 2021 - Dec 27, 2022
    Area covered
    Description

    This dataset provides counts by species for gastropods collected mainly from rock grabs at two inactive sulfide mounds (Lucky’s Mound and Sentry Spire) near 9°47’N on the East Pacific Rise. Sampling was conducted on dives with HOV Alvin during R/V Atlantis cruise AT50-06 in December 2022 and with ROV Jason during R/V Roger Revelle cruise RR2102 in April 2021. Specimens were preserved in ethanol or fixed in formalin. Gastropods were identified morphologically to species (with genetic sequences obtained for a subset); two of the species were new to science as described by Chen et al. (2024). Counts are not comprehensive thus cannot be used for quantitative analyses. This dataset is derived from Beaulieu et al. (2024) doi:10.26008/1912/bco-dmo.946438.1, and funding was from NSF OCE-2152453.

  11. Macrofauna collected on colonization panels at Snail Vent Field on the...

    • gbif.org
    • obis.org
    Updated Aug 25, 2021
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    Mary Toner; Stace Beaulieu; Susan Mills; Mary Toner; Stace Beaulieu; Susan Mills (2021). Macrofauna collected on colonization panels at Snail Vent Field on the Mariana Back-arc in 2014 [Dataset]. http://doi.org/10.15468/wvavdx
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    Dataset updated
    Aug 25, 2021
    Dataset provided by
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Mary Toner; Stace Beaulieu; Susan Mills; Mary Toner; Stace Beaulieu; Susan Mills
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset is the presence of taxa collected on colonization panels deployed at Snail hydrothermal vent field on the Mariana Back-arc in the West Pacific. The panels were deployed on cruise YK10-11 in 2010, and recovered on cruise RR1413 in 2014. Samples were preserved in an ammonium sulfate solution, then transferred to ethanol. Macrofauna, including foraminifera and ciliates, were identified to lowest taxonomic level. Genetic barcoding was conducted for a subset of taxa. The purpose of the colonization experiment was to better understand biodiversity at this vent field in the Volcanic Unit of the Marianas Trench National Monument. This dataset derives from counts of colonists reported by Toner et al. (2020, doi:10.1575/1912/bco-dmo.783880.2). Additional funding to standardize these data to Darwin Core for sharing through the Ocean Biogeographic Information System was from NSF DEB-1558904.

  12. Supplementary material 1 from: Cunha MR, Génio L, Pradillon F, Clavel Henry...

    • zenodo.org
    • data.niaid.nih.gov
    bin
    Updated May 26, 2020
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    Marina Cunha; Luciana Génio; Florence Pradillon; Morane Clavel Henry; Stace Beaulieu; James Birch; Francisco Campuzano; Marta Carretón; Fabio De Leo; Jonathan Gula; Sven Laming; Dhugal Lindsay; Fábio Matos; Anna Metaxas; Kirstin Meyer-Kaiser; Susan Mills; Henrique Queiroga; Clara Rodrigues; Jozée Sarrazin; Hiromi Watanabe; Robert Young; Craig Young; Marina Cunha; Luciana Génio; Florence Pradillon; Morane Clavel Henry; Stace Beaulieu; James Birch; Francisco Campuzano; Marta Carretón; Fabio De Leo; Jonathan Gula; Sven Laming; Dhugal Lindsay; Fábio Matos; Anna Metaxas; Kirstin Meyer-Kaiser; Susan Mills; Henrique Queiroga; Clara Rodrigues; Jozée Sarrazin; Hiromi Watanabe; Robert Young; Craig Young (2020). Supplementary material 1 from: Cunha MR, Génio L, Pradillon F, Clavel Henry M, Beaulieu S, Birch J, Campuzano FJ, Carretón M, De Leo F, Gula J, Laming S, Lindsay D, Matos FL, Metaxas A, Meyer-Kaiser K, Mills S, Queiroga H, Rodrigues CF, Sarrazin J, Watanabe H, Young R, Young CM (2020) Foresight Workshop on Advances in Ocean Biological Observations: a sustained system for deep-ocean meroplankton. Research Ideas and Outcomes 6: e54284. https://doi.org/10.3897/rio.6.e54284 [Dataset]. http://doi.org/10.3897/rio.6.e54284.suppl1
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    binAvailable download formats
    Dataset updated
    May 26, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Marina Cunha; Luciana Génio; Florence Pradillon; Morane Clavel Henry; Stace Beaulieu; James Birch; Francisco Campuzano; Marta Carretón; Fabio De Leo; Jonathan Gula; Sven Laming; Dhugal Lindsay; Fábio Matos; Anna Metaxas; Kirstin Meyer-Kaiser; Susan Mills; Henrique Queiroga; Clara Rodrigues; Jozée Sarrazin; Hiromi Watanabe; Robert Young; Craig Young; Marina Cunha; Luciana Génio; Florence Pradillon; Morane Clavel Henry; Stace Beaulieu; James Birch; Francisco Campuzano; Marta Carretón; Fabio De Leo; Jonathan Gula; Sven Laming; Dhugal Lindsay; Fábio Matos; Anna Metaxas; Kirstin Meyer-Kaiser; Susan Mills; Henrique Queiroga; Clara Rodrigues; Jozée Sarrazin; Hiromi Watanabe; Robert Young; Craig Young
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Abstracts of keynote talks

  13. d

    Functional traits of colonists collected from colonization surfaces at the...

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    • bco-dmo.org
    • +1more
    Updated Mar 9, 2025
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    Lauren Dykman; Stace Beaulieu; Andrew Solow; Susan Mills; Lauren Mullineaux (2025). Functional traits of colonists collected from colonization surfaces at the East Pacific Rise (EPR) deep-sea vents from 1998-2017 [Dataset]. http://doi.org/10.26008/1912/bco-dmo.844993.1
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    Dataset updated
    Mar 9, 2025
    Dataset provided by
    Biological and Chemical Oceanography Data Management Office (BCO-DMO)
    Authors
    Lauren Dykman; Stace Beaulieu; Andrew Solow; Susan Mills; Lauren Mullineaux
    Time period covered
    Jan 1, 1998 - Jan 1, 2017
    Area covered
    Description

    These data were included as Supplemental Data Table 2 in the results publication Dykman et al. (2021) Ecology. Version 1 of the code used for analyses, statistics, and figures for Dykman et al. (2021) Ecology can be found at Zenodo (Dykman, 2021, DOI: 10.5281/zenodo.4625160).

  14. f

    Table_1_Corrigendum: ILTER – The International Long-Term Ecological Research...

    • figshare.com
    • frontiersin.figshare.com
    doc
    Updated Jun 3, 2023
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    José H. Muelbert; Nicholas J. Nidzieko; Alicia T. R. Acosta; Stace E. Beaulieu; Angelo F. Bernardino; Elmira Boikova; Thomas G. Bornman; Bruno Cataletto; Klaas Deneudt; Erika Eliason; Alexandra Kraberg; Masahiro Nakaoka; Alessandra Pugnetti; Olivier Ragueneau; Mirco Scharfe; Thomas Soltwedel; Heidi M. Sosik; Angela Stanisci; Kremena Stefanova; Pierre Stéphan; Adrian Stier; Johan Wikner; Adriana Zingone (2023). Table_1_Corrigendum: ILTER – The International Long-Term Ecological Research Network as a Platform for Global Coastal and Ocean Observation.DOC [Dataset]. http://doi.org/10.3389/fmars.2019.00819.s001
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    docAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    Frontiers
    Authors
    José H. Muelbert; Nicholas J. Nidzieko; Alicia T. R. Acosta; Stace E. Beaulieu; Angelo F. Bernardino; Elmira Boikova; Thomas G. Bornman; Bruno Cataletto; Klaas Deneudt; Erika Eliason; Alexandra Kraberg; Masahiro Nakaoka; Alessandra Pugnetti; Olivier Ragueneau; Mirco Scharfe; Thomas Soltwedel; Heidi M. Sosik; Angela Stanisci; Kremena Stefanova; Pierre Stéphan; Adrian Stier; Johan Wikner; Adriana Zingone
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The full text of this article can be freely accessed on the publisher's website.

  15. P

    Global Distribution of Hydrothermal Vent Fields (2020) - InterRidge Global...

    • pacificdata.org
    • samoa-data.sprep.org
    • +14more
    csv, pdf, zip
    Updated Feb 11, 2022
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    Secretariat of the Pacific Regional Environment Programme (2022). Global Distribution of Hydrothermal Vent Fields (2020) - InterRidge Global Database of Active Submarine Hydrothermal Vent Fields 3.4 [Dataset]. http://doi.org/10.1594/PANGAEA.917894
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    csv, pdf, zipAvailable download formats
    Dataset updated
    Feb 11, 2022
    Dataset provided by
    Secretariat of the Pacific Regional Environment Programme
    License

    https://pacific-data.sprep.org/dataset/data-portal-license-agreements/resource/de2a56f5-a565-481a-8589-406dc40b5588https://pacific-data.sprep.org/dataset/data-portal-license-agreements/resource/de2a56f5-a565-481a-8589-406dc40b5588

    Description

    The InterRidge Vents Database is a global database of submarine hydrothermal vent fields. The InterRidge Vents Database is supported by the InterRidge program for international cooperation in ridge-crest studies (www.interridge.org).

    Purpose of the database The purpose of the InterRidge Global Database of Active Submarine Hydrothermal Vent Fields, hereafter referred to as the “InterRidge Vents Database,” is to provide a comprehensive list of active submarine hydrothermal vent fields for use in academic research and education. As stated by the InterRidge Working Group (WG) on Global Distribution of Hydrothermal Activity (InterRidge News 9.1, April 2000): “The idea of this data-base is that it should become the international standard for all known sites of submarine hydrothermal activity which can be updated simply by submitting an electronic message to the InterRidge Office."

    Version 3.4 was completed on 25 March 2020 and and is published at PANGAEA® Data Publisher: Beaulieu, Stace E; Szafrański, Kamil M (2020) InterRidge Global Database of Active Submarine Hydrothermal Vent Fields Version 3.4. PANGAEA, https://doi.org/10.1594/PANGAEA.917894 (temporary link https://doi.pangaea.de/10.1594/PANGAEA.917894)

  16. d

    Macrofauna collected on colonization panels at Snail Vent Field on the...

    • search.dataone.org
    • bco-dmo.org
    • +1more
    Updated Mar 9, 2025
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    Mary Toner; Stace Beaulieu; Susan Mills (2025). Macrofauna collected on colonization panels at Snail Vent Field on the Mariana Back-arc in 2014 [Dataset]. http://doi.org/10.1575/1912/bco-dmo.783880.2
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    Dataset updated
    Mar 9, 2025
    Dataset provided by
    Biological and Chemical Oceanography Data Management Office (BCO-DMO)
    Authors
    Mary Toner; Stace Beaulieu; Susan Mills
    Time period covered
    Sep 4, 2010 - Nov 30, 2014
    Area covered
    Description

    This dataset indicates organisms, identified to varying levels of taxonomic granularity, present on colonization surfaces deployed at deep-sea vents in the West Pacific. A .zip file of images is attached containing the .jpg files referenced by column \"associatedMedia\".

    Samples were deployed during cruise YK10-11 on the YOKOSUKA, at 2010-09-04 during dive 1228 by the submersible Shinkai 6500. Samples were retrieved during cruise rr1413 on the RV Roger R Revelle, at [2014-11-30T08:00:00Z] during dive J2-797 by the ROV Jason II.

    Location: Snail hydrothermal vent field on Mariana Back-arc (Latitude 12.9531, Longitude 143.6194, depth 2848m)

    These data are also available through the OBIS USA Node at https://www.sciencebase.gov/catalog/item/5de6cef7e4b02caea0eaee92

  17. E

    [Mariana Back-arc Macrofauna 2014] - Macrofauna collected on colonization...

    • erddap.bco-dmo.org
    Updated Feb 11, 2020
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    BCO-DMO (2020). [Mariana Back-arc Macrofauna 2014] - Macrofauna collected on colonization panels at Snail Vent Field on the Mariana Back-arc in 2014 (RAPID: Larval Abundance, Behavior and Dispersal at Deep-sea Hydrothermal Vents in the Southern Mariana Trough) [Dataset]. https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_783880/index.html
    Explore at:
    Dataset updated
    Feb 11, 2020
    Dataset provided by
    Biological and Chemical Oceanographic Data Management Office (BCO-DMO)
    Authors
    BCO-DMO
    License

    https://www.bco-dmo.org/dataset/783880/licensehttps://www.bco-dmo.org/dataset/783880/license

    Area covered
    Variables measured
    depth, phylum, kingdom, latitude, locality, eventDate, longitude, taxonRank, waterBody, countryCode, and 12 more
    Description

    This dataset indicates organisms, identified to varying levels of taxonomic granularity, present on colonization surfaces deployed at deep-sea vents in the West Pacific. access_formats=.htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson acquisition_description=Deployment of Colonization Substrate
    Two sets of three colonization "sandwiches" were deployed at Snail Vent, a hydrothermal vent in the Mariana Back-arc, during cruise YK10-11 in 2010. "Sandwiches" consisted of six Lexan plastic settlement plates, each measuring 0.7cm by 10cm by 10cm, separated from each other by 1cm spacers. The sandwich sets were placed near the base of a hydrothermal vent by the submersible Shinkai 6500. For additional deployment metadata, please refer to: https://www.marine-geo.org/tools/search/entry.php?id=YK10-11, in particular the Bottom:Deployed Event Marker-Sandwiches and Sampler:Biology:ColonizationSubstrate. We want to thank Chief Scientist Shigeaki Kojima for this sample deployment.

    Recovery of Colonization Substrate
    The sandwiches were left for approximately 4 years, and recovered by the ROV Jason II in 2014 on cruise RR1413. Only one set of colonization sandwiches was retrieved, as the other set was buried and could not be recovered. The maximum temperature observed at the sandwiches during recovery was 17.36 deg C. Sandwiches were initially placed into a biobox onboard the ROV, then transferred to another biobox on an elevator for recovery. During this transfer, as well as during the recovery of the elevator at the surface, some specimens may have been lost.

    Shipboard Sample Processing
    Sandwiches were removed from the biobox into individual bags and the elevator biobox washings were siphoned into a jar. The bags and jar were filled with ammonium sulfate solution buffered with EDTA and sodium citrate. We want to thank Shawn Arellano for this sample recovery and shipboard sample processing.

    Laboratory Sorting and Morphological Identification
    Samples remained in the ammonium sulfate solution for 1 to 1.5 years. Samples were rinsed with TE buffer prior to placement in 95% ethanol. The sandwiches were manually disassembled, and each entire plate- inclusive of both sides and edges- was examined for all attached macrofauna under a dissecting microscope at 25x. Washings were passed over a 63 micron sieve, and also examined at 25x.

    Macrofauna, including foraminifera, were sorted to lowest taxonomic level, tallied, and placed into separate vials. Ciliates were tallied, but not usually retained; some were placed into sorted vials. Morphological identification was limited due to the degradation of the sample. We consulted with international experts to identify many of the morphotypes. All morphotypes, except the ciliates, were photographed. Potentially, ciliates could be identified through metabarcoding of the sorted vials. All photographs were by Mary Toner, with the exception of barnacles by Hiromi Watanabe.

    This dataset is complete for one of the three "sandwiches", and for the biobox washings.

    Genetic Barcoding
    A subset of eight individuals, representing eight morphotypes, was prepared for the Canadian Centre for DNA Barcoding. We used sterile techniques to provide snips of larger specimens. The five submitted in 2017 used the CCDB regular protocol for extraction, amplification, (with two primer sets, C_LepFoIF/C_LepFOIR and ZplankF1/ZplankR1) and sequencing for the Cytochrome Oxidase Subunit 1 - 5 prime region (COI). The three submitted in 2018 used the CCDB protocol for Next Generation Sequencing for COI. Results may be viewed in the Barcode of Life Data System (BOLD) Public Data Portal using the project search SNLBE. We also consulted with international experts on genetic sequences.

    Problem Report
    One set of colonization "sandwiches" could not be recovered, as it was buried by a partial collapse of surrounding rock.

    Some specimens may have been lost during a transfer of samples between bioboxes at the seafloor, as well as upon recovery at the surface. As such, our counts cannot be used for quantitative analysis of hydrothermal macrofauna. awards_0_award_nid=557458 awards_0_award_number=OCE-1155756 awards_0_data_url=http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1155756 awards_0_funder_name=NSF Division of Ocean Sciences awards_0_funding_acronym=NSF OCE awards_0_funding_source_nid=355 awards_0_program_manager=David L. Garrison awards_0_program_manager_nid=50534 awards_1_award_nid=767732 awards_1_award_number=OCE-1028862 awards_1_data_url=http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1028862 awards_1_funder_name=NSF Division of Ocean Sciences awards_1_funding_acronym=NSF OCE awards_1_funding_source_nid=355 awards_1_program_manager=David L. Garrison awards_1_program_manager_nid=50534 cdm_data_type=Other comment=Macrofauna collected on colonization panels at Snail Vent Field on the Mariana Back-arc in 2014 PI: Stace Beaulieu (WHOI) Co-PIs: Mary Toner & Susan Mills (WHOI) Version history:
    2020-02-11 (current) - changed "no photo" in associatedMedia column to "nd" 2019-12-10 (v1) - origial file served Conventions=COARDS, CF-1.6, ACDD-1.3 data_source=extract_data_as_tsv version 2.3 19 Dec 2019 defaultDataQuery=&time<now doi=10.1575/1912/bco-dmo.783880.2 Easternmost_Easting=143.619 geospatial_lat_max=12.9531 geospatial_lat_min=12.9531 geospatial_lat_units=degrees_north geospatial_lon_max=143.619 geospatial_lon_min=143.619 geospatial_lon_units=degrees_east geospatial_vertical_max=2848.0 geospatial_vertical_min=2848.0 geospatial_vertical_positive=down geospatial_vertical_units=m infoUrl=https://www.bco-dmo.org/dataset/783880 institution=BCO-DMO instruments_0_acronym=ROV Jason instruments_0_dataset_instrument_nid=783944 instruments_0_description=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. instruments_0_instrument_name=ROV Jason instruments_0_instrument_nid=638 instruments_1_dataset_instrument_nid=783946 instruments_1_description=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". instruments_1_instrument_external_identifier=https://vocab.nerc.ac.uk/collection/L05/current/LAB05/ instruments_1_instrument_name=Microscope-Optical instruments_1_instrument_nid=708 instruments_1_supplied_name=dissecting microscope metadata_source=https://www.bco-dmo.org/api/dataset/783880 Northernmost_Northing=12.9531 param_mapping={'783880': {'decimalLongitude': 'flag - longitude', 'decimalLatitude': 'flag - latitude', 'maximumDepthInMeters': 'flag - depth'}} parameter_source=https://www.bco-dmo.org/mapserver/dataset/783880/parameters people_0_affiliation=Woods Hole Oceanographic Institution people_0_affiliation_acronym=WHOI people_0_person_name=Stace Beaulieu people_0_person_nid=665150 people_0_role=Principal Investigator people_0_role_type=originator people_1_affiliation=Woods Hole Oceanographic Institution people_1_affiliation_acronym=WHOI people_1_person_name=Susan Mills people_1_person_nid=783891 people_1_role=Co-Principal Investigator people_1_role_type=originator people_2_affiliation=Woods Hole Oceanographic Institution people_2_affiliation_acronym=WHOI people_2_person_name=Mary Toner people_2_person_nid=783888 people_2_role=Co-Principal Investigator people_2_role_type=originator people_3_affiliation=Woods Hole Oceanographic Institution people_3_affiliation_acronym=WHOI BCO-DMO people_3_person_name=Shannon Rauch people_3_person_nid=51498 people_3_role=BCO-DMO Data Manager people_3_role_type=related project=Mariana Back-arc Vents projects_0_acronym=Mariana Back-arc Vents projects_0_description=NSF Award Abstract: Summary: Since the discovery of deep-sea hydrothermal vents over thirty years ago, scientists have been perplexed by the question: How are these vent sites colonized and, more specifically, How are the faunal populations established and maintained at these very discrete and often ephemeral habitats. For animals that are sessile or have limited mobility as adults, dispersal to these habitats occurs early in the life cycle, as planktonic larvae in the water column. Due to the difficulties in sampling deep-sea larvae, including low abundances (dilute concentrations), we have very few quantitative estimates of larval dispersal between or larval supply to hydrothermal vents. We also have little to no knowledge of the behavior of vent larvae. The PIs will use large-volume plankton pumps to collect larvae near vents in the southern Mariana Trough in a collaborative effort to quantify larval abundance, behavior, and dispersal in this little-studied

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Stace Beaulieu; Susan Mills; Lauren Mullineaux; Tyler Carrier; Adam Reitzel; Stace Beaulieu; Susan Mills; Lauren Mullineaux; Tyler Carrier; Adam Reitzel (2021). Larvae collected near deep-sea hydrothermal vent fields for microbiome study [Dataset]. http://doi.org/10.15468/d8pacg
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Larvae collected near deep-sea hydrothermal vent fields for microbiome study

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Dataset updated
May 31, 2021
Dataset provided by
Global Biodiversity Information Facilityhttps://www.gbif.org/
United States Geological Surveyhttp://www.usgs.gov/
Authors
Stace Beaulieu; Susan Mills; Lauren Mullineaux; Tyler Carrier; Adam Reitzel; Stace Beaulieu; Susan Mills; Lauren Mullineaux; Tyler Carrier; Adam Reitzel
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
Description

This dataset provides the sampling locations and identifications for a total of 60 larvae collected near deep-sea hydrothermal vent fields and used in a microbiome study by Carrier et al. (2020, submitted). The larvae were collected near hydrothermal vent fields on the East Pacific Rise (EPR 9°50'N vent field), on the Mariana Back-Arc Spreading Center (near Snail and Archaean vent fields), and in Pescadero Basin (Auka vent field) in the Gulf of California. This dataset is derived from a dataset in the Biological and Chemical Oceanography Data Management Office (BCO-DMO) repository (Beaulieu et al., 2021, doi:10.26008/1912/bco-dmo.839476.1) with the addition of two Darwin Core terms recommended for the Global Biodiversity Information Facility (GBIF; countryCode and kingdom). See the dataset in BCO-DMO for acquisition description, data columns removed that were not in the Darwin Core standard (e.g., Lowest_level_taxon_name_or_morphotype, microbiome_16S_Dryad), and associatedMedia. Note that the use of the Darwin Core term habitat differs from the standard definition; we describe the habitat as "hydrothermal vent" ENVO term http://purl.obolibrary.org/obo/ENVO_00000215 for those taxa for which we are confident that the adults live at a hydrothermal vent, otherwise NotDetermined. Funding to collect specimens was from the U.S. National Science Foundation (NSF) OCE-0424953 and OCE-1028862 and the Dalio Explore Fund, and funding to standardize these data to Darwin Core for sharing through the Ocean Biodiversity Information System was from NSF DEB-1558904 and OCE-1829773.

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