cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26008/1912/bco-dmo.925258.1
title: Particulate Carbon Concentrations and Stable Carbon Isotopes in Marine Particles Captured by In Situ Mclane Pumps at Cocos Ridge Coco Ridge (Eastern Equatorial Pacific) during cruise SR2113 between November - December 2021

description: This dataset includes particulate carbon concentrations and isotopes collected in December, 2021. Suspended particles are collected at 4 different stations near Cocos Ridge, at two different size fractions using Mclane pumps.  The two size fractions are large size fraction (LSF) that is &gt;51 um, and small size fraction (SSF) that is 0.5 -- 51 um. Concentrations and stable carbon isotopes of particulate inorganic carbon (PIC) and total carbon (TC) are measured and reported. PIC content are measured by acidifying a subsample of the Glass Fiber Filter (GFF) and measuring total CO2 released using a Picarro Cavity Ring-down Spectroscopy. TC content are analyzed by burning a subsample of the GFF on Elemental Analyzer (EA). Samples were collected during SR2113 onboard Sally Ride, under the project &quot;new approaches to study calcium carbonate dissolution on the sea floor and its impact on paleo-proxy interpretations&quot;, as a water-column side determination of particle compositions and carbonate dissolution. This data reveals changes in concentrations and stable carbon isotopes with water depth, and has implications for multiple biogeochemical processes associated with both the inorganic and the organic carbon within marine particles in the water column.
DOI: 10.26008/1912/bco-dmo.927046.1
title: Dissolved organic matter sulfur and carbon analysis of samples collected between 2010 and 2021 from various locations globally

description: The following dataset of SPE (solid phase extracted) DOM (dissolved organic matter) accompanies Phillips et al. 2022 (doi: 10.1073/pnas.2209152119). Our project sought to address the question of where long-lived organic molecules that are dissolved in the oceans come from, in particular molecules containing sulfur (S). Our approach was to measure the relative abundance of two stable sulfur isotopes (S-32 and S-34) in these molecules, which is technically very difficult due to the presence of million-fold higher sulfate ions in seawater. We developed a new preparatory chemistry to adequately isolate these organic molecules, and a new elemental analyzer/mass spectrometry method to measure their isotope abundances with high precision at trace levels. We conducted these S isotope measurements on 100 samples of dissolved organic matter (DOM) that had been previously collected by our collaborators from around the world (Northeast Pacific oxygen minimum zone, Northeast Pacific Shelf, North Pacific Gyre, San Pedro Basin, Caeté Estuary, South Pacific Gyre, and the North Sea). We also collected 2 dozen new samples from oceanographic stations in the North Pacific Gyre (Hawaii Ocean Timeseries) and North Atlantic Gyre (Bermuda Atlantic Time Series). The dataset includes 1) sample information such as sample ID, sample location, station name, collection depth (ranging from 0 to 4800 meters), latitude and longitude, month and year sampled (ranging from 2010 to 2021); 2) elemental analysis such as sulfur isotope values (δ34S), carbon (C) isotope values (δ13C), and C:S molar ratios; 3) physical parameters from collaborators' CTD analysis, such as oxygen, salinity, fluorescence, and temperature; and 4) chemical data from collaborators such as dissolved nitrate, phosphate, silicate, and calculated DOC (dissolved organic carbon) and DOS (dissolved organic sulfur) concentrations. Our data show that DOM molecules have (34S/32S) isotope ratios that are entirely consistent with being formed from ocean sulfate, and inconsistent with being formed by reactions of hydrogen sulfide in anoxic porewaters. This result negates one of the leading hypotheses for how long-lived DOM forms, i.e. by reactions in anoxic sediments. Instead, this sharpens our focus on understanding how relatively short-lived biomolecules in the surface ocean are transformed into long-lived DOM molecules.
DOI: 10.26008/1912/bco-dmo.922718.1
title: Capture records of abyssal megafauna captured using submersibles and ROVs at Station ALOHA off Hawaii and Station M off California from 2019 to 2020

description: This dataset includes the capture records for the abyssal megafauna captured as part of this food web project. Megafauna were captured using submersibles and ROVs at Station ALOHA off Hawaii and Station M off California from 2019 to 2020. These animals were captured as representatives of their abyssal food webs for an isotopic investigation of their original particulate nutritional sources (different sized particles). Each organism was identified, measured, most weighed using a motion compensated scale, and frozen for later drying and isotope analysis. For larger organisms such as holothurians or fishes, samples of tissues were taken and often the whole animal was preserved for later confirmation of taxonomic identification.
DOI: 10.26008/1912/bco-dmo.922789.1
title: Compound specific isotope data of amino acids for abyssal macrofauna, megafauna, sediments, sediment traps, and in situ filtered particles at Station ALOHA off Hawaii and Station M off California from 2019 to 2020

description: This dataset includes compound specific isotope data of amino acids for abyssal macrofauna, megafauna, sediments, sediment traps, and in situ filtered particles from off California (Station M) and Hawaii (Station ALOHA) collected from 2019 to 2020. These data were collected as part of a food web project to evaluate the relative importance of small and large particle types to abyssal communities.
DOI: 10.26008/1912/69370
title: Greenland Deep Western Boundary Current (GDWBC) Mooring Data 2020-2022

description: The Greenland Deep Western Boundary Current (GDWBC) mooring array is part of the Overturning in the Subpolar North Atlantic Project (OSNAP). The mooring array consists of four moorings instrumented with SeaBird 37 MicroCATs and Nortek Aquadopp Current Meters with the goal of 1) better defining the range of DWBC transport variability up to interannual time scales from continuous multi-year time series of velocity, temperature, and salinity, 2) identifying the causes of DWBC transport and water mass variability on multiple time scales, including connections to the dense overflows upstream, and 3) assessing DWBC continuity and connectivity around Cape Farewell and to the western boundary of the Subpolar North Atlantic. These moorings were deployed August 2020 to July 2022.
DOI: 10.26008/1912/bco-dmo.925841.1
title: Data and code from an examination of growth rates of cyanobacteria co-cultured with a heterotrophic bacterium, Alteromonas, under either present-day or predicted future pCO2 conditions

description: The CO2 content of Earth's atmosphere is rapidly increasing due to human consumption of fossil fuels. Models based on short-term culture experiments predict that major changes will occur in marine phytoplankton communities in the future ocean, but these models rarely consider how the evolutionary potential of phytoplankton or interactions within marine microbial communities may influence these changes. Here we experimentally evolved representatives of four phytoplankton functional types (silicifiers, calcifiers, coastal cyanobacteria, and oligotrophic cyanobacteria) in co-culture with a heterotrophic bacterium, Alteromonas, under either present-day or predicted future pCO2 conditions. The data and analysis code in this dataset show that the growth rates of cyanobacteria generally increased under both conditions, and the growth defects observed in ancestral Prochlorococcus cultures at elevated pCO2 and in axenic culture were diminished after evolution. Evolved Alteromonas were also poorer &quot;helpers&quot; for Prochlorococcus, supporting the assertion that the interaction between Prochlorococcus and heterotrophic bacteria is not a true mutualism but rather a competitive interaction stabilized by Black Queen processes. This work provides new insights on how phytoplankton will respond to anthropogenic change and on the evolutionary mechanisms governing the structure and function of marine microbial communities.
DOI: 10.26008/1912/bco-dmo.925872.1
title: Data and analysis code used to experimentally evolve representatives of four phytoplankton functional types in co-culture with a heterotrophic bacterium under either present-day or predicted future pCO2 conditions

description: The CO2 content of Earth's atmosphere is rapidly increasing due to human consumption of fossil fuels. Models based on short-term culture experiments predict that major changes will occur in marine phytoplankton communities in the future ocean, but these models rarely consider how the evolutionary potential of phytoplankton or interactions within marine microbial communities may influence these changes. Here we experimentally evolved representatives of four phytoplankton functional types (silicifiers, calcifiers, coastal cyanobacteria, and oligotrophic cyanobacteria) in co-culture with a heterotrophic bacterium, Alteromonas, under either present-day or predicted future pCO2 conditions. The data and analysis code in this dataset show that the genomes of all four phytoplankton as well as Alteromonas evolved over the course of the experiment.  Mutations in oxidative stress related genes (PTOX and thioredoxin reductase) were ubiquitous in evolved cultures of Prochlorococcus, suggesting adaptation in response to the well-studied deficiencies of this genus in terms of stress resistance in culture. With the exception of Prochlorococcus, most phytoplankton genomes appeared to experience mostly purifying selection, but Alteromonas genomes showed strong evidence of directional selection, particularly in co-culture with eukaryotic phytoplankton. Metabolic pathways were under intense selection for Alteromonas, and in particular adaptation to co-culture with eukaryotes appeared to select for a shift from growth on organic acids using an abbreviated TCA cycle to growth on more complex substrates using the complete TCA cycle.  This work provides new insights on how phytoplankton will respond to anthropogenic change and on the evolutionary mechanisms governing the structure and function of marine microbial communities.
DOI: 10.6084/m9.figshare.30559997
title: Data sharing statements at JDR and JDR CTR

description: Analysis of data availability statements in the Journal of Dental Research and JDR Clinical and Translational Research over 12 months from November 2024 to October 2025.
DOI: 10.6084/m9.figshare.30559997.v1
title: Data sharing statements at JDR and JDR CTR

description: Analysis of data availability statements in the Journal of Dental Research and JDR Clinical and Translational Research over 12 months from November 2024 to October 2025.
DOI: 10.26008/1912/69364
title: Underway instrument data xa20220403_transit_jamaica

description:  Voyage data from Providence, Rhode Island to Gramercy, Louisiana. The vessel left Providence, Rhode Island April 7, 2022 and arrived in Gramercy, Louisiana on April 15, 2022. The data distribution may include data on either side of the transit while ship waits to dock.
Data collected is considered raw. Data included in this distribution: (1) MET, which includes barometric pressure, humidity, rain (intensity and amount), true and relative wind speed, true and relative wind direction; (2) GPS which includes ship speed, heading, latitude, longitude.
DOI: 10.26008/1912/69365
title: Underway instrument data xa20220419_transit_gramercy

description:  Voyage data from Discovery Bay, Jamaica to Gramercy, Louisiana. The vessel left Discovery Bay, Jamaica April 19, 2022 and arrived in Gramercy, Louisiana on April 26, 2022. The data distribution may include data on either side of the transit while ship waits to dock.
Data collected is considered raw. Data included in this distribution: (1) MET, which includes barometric pressure, humidity, rain (intensity and amount), true and relative wind speed, true and relative wind direction; (2) GPS which includes ship speed, heading, latitude, longitude.
DOI: 10.26008/1912/69363
title: Underway instrument data xa20220215_transit_us

description:  Voyage data from Istanbul, Turkey (Desan Shipyard) to Providence, Rhode Island. The vessel left Istanbul, Turkey February 15, 2022 and arrived in Providence, Rhode Island on April 1, 2022. The data distribution may include data on either side of the transit while ship waits to dock.
Data collected is considered raw. Data included in this distribution: (1) MET, which includes barometric pressure, humidity, rain (intensity and amount), true and relative wind speed, true and relative wind direction; (2) GPS which includes ship speed, heading, latitude, longitude.
DOI: 10.26008/1912/bco-dmo.907559.1
title: Surface water and N.digitalis inhalent/exhalent water sample nutrient and bacterioplankton metadata of Looe Key and Wonderland Reef conducted in 10-15 December 2023

description: Sponges are sessile filter-feeders that can process vast amounts of water and are known to influence the chemistry of the surrounding seawater.  In areas where sponges are abundant, there may be a unique nutrient profile or ‘reef signal’ produced by the metabolism of the reef benthic community and sponges may contribute significantly to this ‘signal’. This work provides an initial test of such a hypothesis, specifically that sponges can influence the dissolved nutrient profile in the overlying seawater. 

We analyzed differences in dissolved nutrient concentration (total organic carbon and dissolved nitrogen, inorganic nutrients, fluorescent dissolved organic matter (fDOM), and metabolites) and bacterioplankton cell density in surface seawater between two Florida Key coral reefs with different benthic communities. Additionally, we analyzed the processing of these nutrients by one species of sponge, Niphates digitalis, observed at both sites. While picoplankton abundances and inorganic nutrients were not different between sites, the surface water at Wonderland reef was characterized by elevated humic-like fDOM components and concentrations of certain metabolites such as aromatic amino acids relative to Looe Key. There is also higher similarity in the metabolite profile between Looe Key reef and Wonderland reef compared to the surface water away from the reef. There was not corresponding net production of the quantified metabolites by N. digitalis and overall little processing of dissolved organic nutrients by this sponge species.  

These results provide initial support for a ‘reef signal’ in metabolite profiles and there may be an impact of sponge abundance on the nutrient profile at Wonderland. However, the sponge N. digitalis is likely not a major contributor to the dissolved organic nutrient pool. Overall, these results have implications for better understanding the influence of the benthic community on coral reef nutrient dynamics.
DOI: 10.26008/1912/bco-dmo.907661.1
title: Benthic survey of Looe Key and Wonderland Reef conducted in 10-15 December 2023

description: The benthic survey of Looe Key and Wonderland Reef was conducted by using a 100 m transect underwater above the reef. Species were identified and recorded every 10 cm on the transect. This created a transect with 100 points, which was then converted into percent cover of benthic species. The data recorded from the transects was compiled and analyzed to determine which reef has a higher density of sponges, and which reef has a higher density of coral. Four of the five surveys were conducted in Looe Key, and one survey was conducted in Wonderland Reef. Each survey included three separate transects. Wonderland Reef has about twice the percent cover of sponges (~31%), while Looe Key Reef has ~15.6% sponge cover. The percent cover of stony corals, octocorals, and hard substrate were similar at the two sites whilst Looe Key maintained a higher cover of palythoa (an invasive zoanthid) than Wonderland Reef.
DOI: 10.26008/1912/bco-dmo.921847.1
title: McLane pumps log deployed on the R/V Atlantis CliOMZ AT50-10 expedition from Golfito Costa Rica to San Diego USA that occurred in May - June of 2023.

description: This is the log for the McLane pumps deployed on the R/V Atlantis CliOMZ AT50-10 expedition from Golfito Costa Rica to San Diego USA that occurred in May - June of 2023.  The log contains metadata associated with each pump deployment, including location, pump depth, and time. The pumps were launched on 1/4&quot; kevlar line spooled on a MASH2K winch from the East Coast Winch Pool. The Science party included members from WHOI, UCSB, UTGRV, and Clark University.
DOI: 10.26008/1912/bco-dmo.922260.1
title: Amended Rolling Deck to Repository (R2R) event log application (ELOG) taken on the R/V Atlantis CliOMZ AT50-10 expedition from Golfito Costa Rica to San Diego USA that occurred in May - June of 2023

description: This is the event log recorded during the CliOMZ AT50-10 research cruise using the Rolling Deck to Repository (R2R) event log application (ELOG). The expedition went from Golfito, Costa Rica to San Diego, USA and occurred in May - June of 2023.  The log contains metadata associated with all scientific activities performed during the cruise. The Science party included members from WHOI, UCSB, UTGRV, and Clark University
DOI: 10.26008/1912/bco-dmo.926311.1
title: Synechococcus batch culture data (cell quotas and ratios (C,N,P), size, and diameter) from laboratory experiments in 2021 to 2022 with related isolates cultured across a range of temperatures (16-25C)

description: Diverse phytoplankton modulate the coupling between the ocean carbon and nutrient cycles through life-history traits such as cell size, elemental quotas, and ratios. Biodiversity is mostly considered at broad functional levels, but major phytoplankton lineages are themselves highly diverse. As an example, Synechococcus is found in nearly all ocean regions, and we demonstrate contains extensive intraspecific variation. Here, we grew four closely related Synechococcus isolates in serially transferred cultures across a range of temperatures (16-25°C) to quantify for the relative role of intraspecific trait variation vs. environmental change. We collected data at the time of sampling, after cultures grew for seven doublings or one month.   Experiments were conducted from September of 2021 to early 2022.

This dataset includes cell quotas (fmol) for carbon (QC), nitrogen (QN), and phosphorus (QP). It also includes N:P, C:N, and C:P stoichiometry, cell size, and cell diameter (µm) for each Synechococcus strain and clade under each thermal condition.
DOI: 10.26008/1912/bco-dmo.922228.1
title: Fish data from fish and seagrass surveys on clusters of artificial reefs at the Abaco Islands, Bahamas in 2022

description: Fish data from fish and seagrass surveys on clusters of artificial reefs at the Abaco Islands, Bahamas in May of 2022. Data are presented for site PN, which was constructed in May 2021 at the Bight of Old Robinson, Great Abaco. At the site three clusters of nine reefs were constructed. Each cluster was separated by at least 150 m and were constructed at ~3 m depth.
DOI: 10.26008/1912/bco-dmo.922268.1
title: Log for the samples taken using the Underway system on board of the R/V Atlantis during the CliOMZ AT50-10 expedition from Golfito, Costa Rica to San Diego, USA that occurred in May - June of 2023.

description: This is the log for the samples taken using the Underway system on board of the R/V Atlantis during the CliOMZ AT50-10 expedition from Golfito, Costa Rica to San Diego, USA that occurred in May - June of 2023.  The log contains metadata associated with the locations where samples were collected, including coordinates, depth, time, volume filtered, filter type, and subsamples' fractions. A Geotech in-line acrylic filter holder connected to a flowmeter were attached to the Underway water flow and particulates were collected. The Science party included members from WHOI, UCSB, UTGRV, and Clark University
DOI: 10.26008/1912/bco-dmo.922236.1
title: Invertebrate data from fish and seagrass surveys on clusters of artificial reefs at the Abaco Islands, Bahamas in 2021 and 2022

description: Invertebrate data from fish and seagrass surveys on clusters of artificial reefs at the Abaco Islands, Bahamas in May of 2022. Data are presented for site PN, which was constructed in May 2021 at the Bight of Old Robinson, Great Abaco. At the site three clusters of nine reefs were constructed. Each cluster was separated by at least 150 m and were constructed at ~3 m depth.
DOI: 10.26008/1912/bco-dmo.922242.1
title: Seagrass blade height from fish and seagrass surveys on clusters of artificial reefs at the Abaco Islands, Bahamas in May of 2022

description: Seagrass blade height from fish and seagrass surveys on clusters of artificial reefs at the Abaco Islands, Bahamas in May of 2022. Data are presented for two different sites: PN, which were constructed in May 2021 at the Bight of Old Robinson, Great Abaco, and CM which were constructed in May 2022 in the waters north of Little Abaco Island. At each site three clusters of nine reefs were constructed. Each cluster was separated by at least 150 m and were constructed at ~3 m depth.
DOI: 10.26008/1912/bco-dmo.922248.1
title: Species density from Braun-Blanquet seagrass surveys on clusters of artificial reefs at the Abaco Islands, Bahamas in May of 2022

description: Species density from Braun-Blanquet seagrass surveys for artificial reef clusters at the Abaco Islands, Bahamas in May of 2022.The site (PN) was constructed in May 2021 in the waters north of Little Abaco Island. Three clusters of nine reefs were constructed at the site. Each cluster was separated by at least 150 m and were constructed at ~3 m depth.
DOI: 10.26008/1912/bco-dmo.924886.1
title: RADseq data from Atlantic silversides used for linkage and QTL mapping.

description: ddRADseq data from 568 Atlantic silversides (Menidia menidia) that are either F1 or F2 offspring to wild-caught parents from Georgia and New York used in a controlled breeding experiment. The data were used to build linkage maps for each of the separate populations and their inter-population cross, and to perform quantitative trait locus mapping.