[EN669 Bottle Data] - Carbonate chemistry analyses (total alkalinity, DIC, and d13C of DIC) from discrete bottle samples and CTD data from 12 stations sampled during R/V Endeavor cruise EN669 in the Gulf of Maine during August 2021 (CAREER: Gulf of Maine Temperature Trends and Variability from the early Holocene to the Present)

This dataset includes seawater properties observed during cruise EN669 on the R/V Endeavor in the Gulf of Maine, conducted in August 2021 by PI Katherine Allen and the shipboard science party. Included are data from twelve CTD/Niskin rosette casts at twelve different stations accompanied by carbonate chemistry analyses (total alkalinity, DIC, and d13C of DIC) from discrete bottle samples collected during each cast. Bottle samples were analyzed by Adam Subhas at the Woods Hole Oceanographic Institution after the cruise was complete. Data from CTD casts were collected by the Endeavor's shipboard scientific party. These Gulf of Maine seawater observations provide constraints on growth conditions of synchronously collected foraminifera, enabling geochemical paleo-proxies to be assessed and refined for regional paleoceanographic reconstructions.

cdm_data_type = Other
VARIABLES:
CTD_Cast (unitless)
Niskin (unitless)
PotTemp (degrees Celsius)
Sal (unitless)
Depthm (meters (m))
DIC_Bottle (unitless)
DICumolkg (micromoles per kilogram seawater)
d13Cpermil (permille vs PDB)
talkumolkg (micromoles per kilogram seawater)
DICsd (micromoles per kilogram seawater)
d13Csd (permille vs PDB)
talksd (micromoles per kilogram seawater)
Scan (unitless)
TimeJ (days)
TimeS (seconds)
PrDM (meters (m))
T090C (degrees Celsius)
T190C (degrees Celsius)
T2_T190C (degrees Celsius)
... (39 more variables)


[End members metadata] - Metadata (location, depth, water temperature, salinity, etc.) describing end members compared to blue particles found in Oceanic Flux Program (OFP) traps (OCE-PRF:  Towards Quantifying Calcium Carbonate Sediment Dissolution During Marine Diagenesis)

This dataset includes metadata for end members (fish, bryzoan, serpulid worm, red algae, and coccolithophore) that were compared to blue particles found in OFP traps. Data include species, location, depth, water temperature, salinity, and date of collection.

cdm_data_type = Other
VARIABLES:
Sample_type (unitless)
Feeding_state_diet (unitless)
Species (unitless)
Location (unitless)
latitude (degrees_north)
longitude (degrees_east)
Water_temperature (degrees  Celsius)
Salinity (parts per thousand (ppt))
Collection_date (unitless)


[Environmental data] - Environmental data from long-term monitoring sites in St. John, USVI. (LTREB Long-term coral reef community dynamics in St. John, USVI: 1987-2019)

Environmental data from long-term monitoring sites in St. John, USVI.

cdm_data_type = Other
VARIABLES:
year (unitless)
dhm (degrees)
hurricane (unitless)


[Environmental Sensory Data] - Environmental, sensory data  (temperature, light intensity, salinity, pH, dissolved oxygen, depth) sampled in August 2019 in Carrie Bow Caye, Belize (Collaborative research: Is hybridization among threatened Caribbean coral species the key to their survival or the harbinger of their extinction?)

Environmental, sensory data  (temperature, light intensity, salinity, pH, dissolved oxygen, depth) sampled in August 2019 in Carrie Bow Caye, Belize

cdm_data_type = Other
VARIABLES:
Site (unitless)
latitude (degrees_north)
longitude (degrees_east)
time (ISO Date Time Local, seconds since 1970-01-01T00:00:00Z)
ISO_DateTime_UTC (ISO Date Time UTC, unitless)
Temperature (degrees Celcius (°C))
Light_Intensity (lux (lx))
Instrument (unitless)
depth (m)
Salinity (Sea Water Practical Salinity, parts per thousand)
Dissolved_Oxygen (Volume Fraction Of Oxygen In Sea Water, milligram per liter (mg/l))
pH (Sea Water Ph Reported On Total Scale, molar concentrations of H ions)


[Epibenthic community abundance] - Epibenthic community abundance in Aleutian Island kelp forests, June 2016 and July 2017 (Kelp Forest Ecosystem Engineer Loss project) (Collaborative Research: Changes in ecosystem production and benthic biodiversity following the widespread loss of an ecosystem engineer)

Epibenthic community abundance in Aleutian Island kelp forests, June 2016 and July 2017.

cdm_data_type = Other
VARIABLES:
Site (unitless)
latitude (degrees_north)
longitude (degrees_east)
Island (unitless)
Habitat (unitless)
Region (unitless)
Year (unitless)
Depth_avg_ft (Depth, feet)
Depth_stdev (Depth, feet)
Acanthodoris_spp (number/meter^2)
Acmaea_mitra (number/meter^2)
Acropora_spp (number/meter^2)
Actiniaria_spp (number/meter^2)
Agarum_clathratum (number/meter^2)
Agarum_clathrus (number/meter^2)
Alaria_marginata (number/meter^2)
Alcyonacea_spp (number/meter^2)
Alcyonidium_gelatinosum (number/meter^2)
Alcyonium_spp (number/meter^2)
Aleutiaster_schefferi (number/meter^2)
Amphipoda_spp (number/meter^2)
Annelida_spp (number/meter^2)
Anthozoa_spp (number/meter^2)
Arctomelon_tamikoae (number/meter^2)
Ariadnaria_insignis (number/meter^2)
Ascidiacea_spp (number/meter^2)
Balanus_spp (number/meter^2)
... (162 more variables)


[Epibenthic community biomass] - Epibenthic community biomass in Aleutian Island kelp forests, June 2016 and July 2017 (Kelp Forest Ecosystem Engineer Loss project) (Collaborative Research: Changes in ecosystem production and benthic biodiversity following the widespread loss of an ecosystem engineer)

Epibenthic community biomass in Aleutian Island kelp forests, June 2016 and July 2017.

cdm_data_type = Other
VARIABLES:
Site (unitless)
Island (unitless)
Habitat (unitless)
Region (unitless)
Year (unitless)
latitude (degrees_north)
longitude (degrees_east)
Depth_avg_ft (Depth, feet)
Depth_stdev (Depth, feet)
Acanthodoris_spp (kilograms/meter^2)
Acarnus_erithacus (kilograms/meter^2)
Acmaea_mitra (kilograms/meter^2)
Acropora_spp (kilograms/meter^2)
Actiniaria_spp (kilograms/meter^2)
Agarum_clathratum (kilograms/meter^2)
Agarum_clathrus (kilograms/meter^2)
Alaria_marginata (kilograms/meter^2)
Alcyonacea_spp (kilograms/meter^2)
Alcyonidium_gelatinosum (kilograms/meter^2)
Alcyonidium_spp (kilograms/meter^2)
Alcyonium_spp (kilograms/meter^2)
Aleutiaster_schefferi (kilograms/meter^2)
Amphipoda_spp (kilograms/meter^2)
Annelida_spp (kilograms/meter^2)
Anthozoa_spp (kilograms/meter^2)
Arctomelon_tamikoae (kilograms/meter^2)
Ariadnaria_insignis (kilograms/meter^2)
... (221 more variables)


[Epibenthic community percent cover] - Epibenthic community percent cover in Aleutian Island kelp forests, June 2016 and July 2017 (Kelp Forest Ecosystem Engineer Loss project) (Collaborative Research: Changes in ecosystem production and benthic biodiversity following the widespread loss of an ecosystem engineer)

Epibenthic community percent cover in Aleutian Island kelp forests, June 2016 and July 2017

cdm_data_type = Other
VARIABLES:
Island (unitless)
Habitat (unitless)
Region (unitless)
Year (unitless)
Site (unitless)
latitude (degrees_north)
longitude (degrees_east)
Quad (unitless)
sample (unitless)
Holdfast_cover (unitless)
Suspension_Feeders_cover (unitless)
Encrusting_Corralline_cover (unitless)
Clathromorphum_cover (unitless)
BareRock_cover (Bare Rock Cover, unitless)
Codium_cover (unitless)
Other_cover (unitless)


[Epibenthic community sampling locations] - Epibenthic community sampling locations from Aleutian Island kelp forest community study, June 2016 and July 2017 (Kelp Forest Ecosystem Engineer Loss) (Collaborative Research: Changes in ecosystem production and benthic biodiversity following the widespread loss of an ecosystem engineer)

This dataset includes epibenthic community sampling locations from Aleutian Island kelp forest community study, June 2016 and July 2017: site name, island name, habitat, location, and depth.

cdm_data_type = Other
VARIABLES:
Site (unitless)
Island (unitless)
Habitat (unitless)
date (unitless)
latitude (degrees_north)
longitude (degrees_east)
Depth_avg_ft (Depth, feet)
Depth_stdev (Depth, feet)
Region (unitless)


[Epibenthic community taxonomy] - Table of taxonomic hierarchy and the sampling method for organisms collection in Aleutian Island kelp forests, June 2016 and July 2017 (Kelp Forest Ecosystem Engineer Loss project) (Collaborative Research: Changes in ecosystem production and benthic biodiversity following the widespread loss of an ecosystem engineer)

This dataset includes the taxonomic hierarchy for epibenthic community organisms collected in Aleutian Island kelp forests, based on biomass data. It also lists the method used to sample, either by a scrape collection or by a visual count along a swath.

cdm_data_type = Other
VARIABLES:
Taxon (unitless)
Kingdom (unitless)
Phylum (unitless)
Class (unitless)
Order_Subclass (unitless)
Family (unitless)
Genus (unitless)
Species (unitless)
Sampling_method (unitless)


[epiflu] - Bacterial Cell Counts, biovolumes and biomass per taxon from epifluorescence microscopy from R/V Endeavor cruise EN321 in the Gulf of Maine and Georges Bank in 1999 as part of the U.S. GLOBEC program (GB project) (U.S. GLOBEC Georges Bank)

Bacterial Cell Counts, biovolumes and biomass per taxon from epifluorescence microscopy from R/V Endeavor cruise EN321 in the Gulf of Maine and Georges Bank in 1999 as part of the U.S. GLOBEC program.

cdm_data_type = Other
VARIABLES:
cruiseid
year
cast
day_local
month_local
time_local (hours/minutes)
latitude (degrees_north)
longitude (degrees_east)
taxon
depth_w (Depth, meters)
depth (m)
num_class
number (cells/milliliter)
biomass_C (micrograms C/liter)
mean_biovolume (cubic microns)


[Epifluorescence Microscopy Cell Size and Biomass] -  (Collaborative Research: Quantifying trophic roles and food web ecology of salp blooms of the Chatham Rise)

The structure of the phytoplankton community is crucially important to pelagic food webs,  biogeochemical processes. and carbon (C) cycle. This study quantifies C-based size spectra, phytoplankton community composition across subtropical and subantarctic waters east of New Zealand. Depth-resolved water column samples were analyzed using epifluorescence microscopy at 15 different sampling locations. Samples were analyzed for biomass and abundance of microplankton (>20 µm), nanoplankton (2-20 µm) and picoplankton (<2 µm) and diatoms. Our results suggest that the subtropical waters are dominated by nanoplankton (35.2 ± 4.6 µg C/L). Offshore subantarctic waters were dominated by picoplankton (24.7 ± 2.1 µg C/L) while microplankton dominated in coastal subantarctic waters (21.7 ± 2.2 µg C/L). Overall, our study helps provide important insights into the structure of phytoplankton communities, their biomass distribution and their contribution to carbon sequestration in the subtropical and subantarctic waters east of New Zealand, highlighting the dominance of nanoplankton in subtropical waters and picoplankton in offshore subantarctic waters.

cdm_data_type = Other
VARIABLES:
ID (unitless)
Cycle (unitless)
Cast (unitless)
Particle_Number (unitless)
Filter_Pore_Size (unknown)
Volume_Filtered (mL)
Depth (meters)
latitude (degrees_north)
longitude (Long, degrees_east)
Date (unitless)
Area (µm)
Width (µm)
Feret_Length (µm)
Conversion_Ratio (unitless)
Calculated_Width (µm)
... (5 more variables)


[Epifluorescence Microscopy Reduced] - Reduced Epifluorescence Microscopy Water Column Samples from R/V Tangaroa TAN1810 in the Chatham Rise (Subtropical and Sub-Antarctic waters off of New Zealand) from October to November 2018 (Salp Food Web Ecology project) (Collaborative Research: Quantifying trophic roles and food web ecology of salp blooms of the Chatham Rise)

The structure of the phytoplankton community is crucially important to pelagic food webs,  biogeochemical processes. and carbon (C) cycle. This study quantifies C-based size spectra, phytoplankton community composition across subtropical and subantarctic waters east of New Zealand. Depth-resolved water column samples were analyzed using epifluorescence microscopy at 15 different sampling locations. Samples were analyzed for biomass and abundance of microplankton (>20 µm), nanoplankton (2-20 µm) and picoplankton (<2 µm) and diatoms. Our results suggest that the subtropical waters are dominated by nanoplankton (35.2 ± 4.6 µg C/L). Offshore subantarctic waters were dominated by picoplankton (24.7 ± 2.1 µg C/L) while microplankton dominated in coastal subantarctic waters (21.7 ± 2.2 µg C/L). Overall, our study helps provide important insights into the structure of phytoplankton communities, their biomass distribution and their contribution to carbon sequestration in the subtropical and subantarctic waters east of New Zealand, highlighting the dominance of nanoplankton in subtropical waters and picoplankton in offshore subantarctic waters.

cdm_data_type = Other
VARIABLES:
Cycle (unitless)
Cast (unitless)
depth (m)
Lat (degrees_north)
longitude (degrees_east)
Date (unitless)
Abundance_025_to_05 (microns (µm))
Abundance_05_to_1 (microns (µm))
Abundance_1_to_2 (microns (µm))
Abundance_2_to_4 (microns (µm))
Abundance_4_to_8 (microns (µm))
Abundance_8_to_16 (microns (µm))
Abundance_16_to_32 (microns (µm))
Abundance_32_to_64 (microns (µm))
Abundance_64_to_128 (microns (µm))
... (17 more variables)


[Epiphytic bacteria methane production data] - MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) (Collaborative Research: Do Cyanobacteria Drive Marine Hydrocarbon Biogeochemistry?)

The essential nutrient phosphorus is biologically scarce in the Sargasso Sea, yet the pelagic macroalgae Sargassum, for which this area of the North Atlantic Ocean is named, thrives. We tested the hypothesis that Sargassum holobionts utilize methylphosphonate (MPn) as an alternative source of phosphorus, finding lysis liberated phosphonate-derived methane. The observed activity occurred at concentrations as low as 35 nM MPn and was inhibited by antibiotics, implicating microbial members of the holobiont capable of MPn lysis at realistic environmental concentrations. A survey of macroalgal species inhabiting the Sargasso Sea found a ubiquitous capacity for MPn lysis; such capacity was absent in species inhabiting phosphorus-replete waters of the California Current, pointing to phosphorous limitation as a selective pressure. These results suggest algal holobionts may conditionally acquire phosphorus from phosphonates while simultaneously serving as a source of atmospheric methane.

cdm_data_type = Other
VARIABLES:
Order (unitless)
Date (unitless)
Trial (unitless)
Condition (unitless)
Number_of_Replicates (count)
Initial_MPn (nM)
Additional_Amendments (unitless)
Bottle (unitless)
T1_Timepoint (days)
T1_Timepoint_mean_CH4_production (nmol g^-1)
T1_Timepoint_CH4_no_sig_fig_rounding (nmol g^-1)
T2_Timepoint (days)
T2_Timepoint_mean_CH4_production (nmol g^-1)
T2_Timepoint_CH4_no_sig_fig_rounding (nmol g^-1)
T3_Timepoint (days)
T3_Timepoint_CH4_production (nmol g^-1)
T3_Timepoint_CH4_no_sig_fig_rounding (nmol g^-1)
... (40 more variables)


[EPR 2019 Nutrients] - Dissolved nitrate plus nitrite, nitrite and phosphate from water column of the East Pacific Rise in April 2019 aboard the R/V Atlantis cruise AT42-09 (Collaborative Research: From hot to cold in the dark - shifts in seafloor massive sulfide microbial communities as physical and geochemical conditions change after venting ceases)

These are dissolved inorganic nutrient concentrations from the eastern tropical north pacific ocean from the water column overlying the east pacific rise at 9°50'N 104°18.14'W  including samples in hypoxic water. The measured nutrients are nitrate plus nitrite, nitrite, and phosphate. Samples were collected through two casts, one each on April 9 2019 and April 13 2019 by Dr. Benjamin Tully aboard the RV Atlantis cruise AT 42-09. Samples were run by Chesapeake Bay Laboratory's Analytical services facility following EPA method 353.2 with analysis overseen by Jerry Frank. While the cruise primarily focused on the hydrothermal vent field below, our team focused on measurements of suspended particles in the water column and their microbial communities. These nutrient data supported this analysis. These data support a paper in review titled "Quantitative microbial taxonomy across particle size, depth, and oxygen concentration" lead by Paulina Huanca.

cdm_data_type = Other
VARIABLES:
Sample_ID (unitless)
depth (m)
latitude (degrees_north)
longitude (degrees_east)
Sample_Date (unitless)
Sample_Time (unitless)
time (Sample_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
Received_Date (unitless)
NO2 (milligrams per liter (mg N/L))
NO23 (milligrams per liter (mg N/L))
PO4 (milligrams per liter (mg P/L))
NO2_Flag (unitless)
NO23_Flag (unitless)
PO4_Flag (unitless)


[EPR 2019 Size Fractionated Organic Matter] - Size fractionated organic carbon and nitrogen concentration and stable isotopes from water column of the East Pacific Rise in April 2019 on the R/V Atlantis cruise AT42-09 (Collaborative Research: From hot to cold in the dark - shifts in seafloor massive sulfide microbial communities as physical and geochemical conditions change after venting ceases)

On R/V Atlantic cruise AT42-09 in April 2019, size fractionated suspended particulate organic matter samples from the water column at the East Pacific Rise (9°50'N 104°18.14'W) were obtained by opening the bottom of the Niskin bottle to ensured that particles that had sunk below the spigot were included. Between 100 and 120 L of water was gravity filtered, in sequence, through nylon mesh (142 mm diameter) of decreasing pore size (500, 180, 53, 20 µm and 5 µm mesh). The resuspended particulate matter from each sample and size class was collected by vacuum filtration through a 1.2 µm nominal pore size, pre-combusted GF/C glass fiber filter. Samples were wafted with HCl overnight to remove carbonate and sent to the UC Davis Stable Isotope Facility for C and N analysis concentration and stable isotope analysis.

The purpose of these samples was were used to create particle size to carbon and nitrogen relationships for models, while gaining insights into the origins and fate of particulate organic matter in the ocean. Additionally, these organic matter fractions are directly linked to 16S rRNA amplicon data.  16S rRNA sequence amplicons exactly corresponding to this organic matter data are deposited in SRA (Short Read Archive) under BioProject PRJNA1191024.

Jacob Cram conceived of the idea. Benjamin Tully of Center for Dark Energy Biosphere Investigations, University of Southern California oversaw sample collection. Paulina Huanca Valenzuela and Clara Fuchsman prepped the samples in the laboratory and analyzed the data.

cdm_data_type = Other
VARIABLES:
Station (unitless)
latitude (degrees_north)
longitude (degrees_east)
Date (unitless)
depth (m)
Size_Fraction (micron (um))
d13C_VPDB (permil (0/00))
d15N_Air (permil (0/00))
d15N_BDL_flag (unitless)
... (5 more variables)


[ESP 2016 Seq] - Metagenomic, metatranscriptomic, and single cell sequencing data from an Environmental Sample Processor deployment in Monterey Bay, CA in 2016. (Bacterial Taxa that Control Sulfur Flux from the Ocean to the Atmosphere)

These metagenomic and metatranscriptomic time-series data cover a 52-day period in the fall of 2016 during an intense bloom of the dinoflagellate Akashiwo sanguinea in Monterey Bay, CA, USA. The dataset comprises 84 metagenomes, 82 metatranscriptomes, and 88 16S rRNA amplicon libraries that capture the functions and taxonomy the bacterial and archaeal community. In addition, 88 18S rRNA amplicon libraries describe the taxonomy of the eukaryotic community during the bloom. Microbial cells were collected at station M0 using the moored autonomous robotic Environmental Sample Processor (ESP) instrument and preserved with RNAlater in the instrument until retrieval.

cdm_data_type = Other
VARIABLES:
GOLD_Project_ID (unitless)
Analysis_Project_Name (unitless)
Type (unitless)
Assembly_Method (unitless)
Collection_Date (unitless)
Instrument (unitless)
JGI_Contigs_Link (unitless)
JGI_Project_ID (unitless)
JGI_Sample_ID (unitless)
JGI_Sequencing_Project_ID (unitless)
JGI_Sequencing_Project_Name (unitless)
Latitude_and_Longitude (Longitude, unitless)
NCBI_BioProject_Accession (NCBI Bio Project Accession, unitless)
NCBI_BioSample_Accession (NCBI Bio Sample Accession, unitless)
NCBI_Project_ID (unitless)
NCBI_SRA_Accession_ID (unitless)
Sample_Name (unitless)
Sequencing_Run_Mode (unitless)
Total_Bases (unitless)
Volume_Seawater_Filtered (milliliters (mL))
env_biome (unitless)
... (5 more variables)


[ETNP 2012 McClane Pump POM] - Suspended Organic Particle concentration and stable C and N isotopes (collected with McClane Pumps and GF/F filters) from the Eastern Tropical North Pacific on the R/V Thompson cruise TN278 in April 2012 (The role of cryptic nutrient cycling within sinking particles on trace element transport in oxygen minimum zones)

Suspended organic carbon and nitrogen concentrations and stable isotopes were obtained on the R/V Thompson cruise TN278 at St P2 (16.5 N 107.1 W; known as BB2 on this cruise) and at St P1 (20.1 N 106.0 W; known as BB1 on this cruise) in the Eastern Tropical North Pacific Oxygen Deficient Zone in April 2012. The Oxygen Deficient Zone extended from 105 m to 820 m at St P2 and from 95 to 800 m at St P1. Water was filtered onto 142 mm pre-combusted GF/F filters in situ using McClane pumps (on average ~300-500 L) in a depth profile. Two 21 mm diameter punches were obtained from each 142 mm filter and used for organic matter analysis. Sample punches were wafted with HCl overnight to remove carbonate and sent to the UC Davis Stable Isotope Facility (Davis, CA) for C and N analysis.

The purpose of this sampling was to quantify suspended organic matter in an offshore Oxygen Deficient Zone.

Jacquelyn Neibauer and Rick Keil of the University of Washington deployed the McClane pumps on the cruise. Jacquelyn Neibauer was in charge of prepping the samples. Megan Duffy and Clara Fuchsman of the University of Washington analyzed the data.

cdm_data_type = Other
VARIABLES:
Sample (unitless)
St (unitless)
latitude (degrees_north)
longitude (degrees_east)
Date (unitless)
depth (m)
Nitrogen (micromolar (uM))
Carbon (micromolar (uM))
d15N_Air (permil (0/00))
d13C_VPDB (permil (0/00))
C_to_N (unitless)


[ETNP 2017 Trap fluxes and 13C] - Sinking Organic Particle fluxes and stable C isotopes (collected with sediment traps) from the Eastern Tropical North Pacific on the R/V Sikuliaq cruise SKQ201617S in January 2017 (Dimensions: Diversity, assembly and function of microbial communities on suspended and sinking particles in a marine Oxygen Deficient Zone)

Fluxes of sinking organic carbon and nitrogen and the isotopic composition of organic carbon were obtained from free floating, unpoisoned surface tethered sediment traps at St P2  (16.5ºN 107ºW) in the Eastern Tropical North Pacific Oxygen Deficient Zone in January 2017. These traps were deployed from the R/V Sikuliaq on cruise SKQ201617S. Trap depths ranged between 69 m and 965 m, and trap deployments ranged between 21 and 91 hours with deeper traps deployed for longer.  The Oxygen Deficient Zone extended from 105 m to 820 m at this station.  Two types of traps were deployed: 1) in shallow waters (150 m), net traps (1.24 m2 opening area) were used. For both types of trap, the cod end had bottoms that were open during deployment and during an 8 hour equilibration period at the target depth performed to remove oxygen contamination. Cod ends were closed with a gate valve, using a pre-programmed electronic dissolving link (burn wire) system controlled by an onboard Arduino microcontroller to start collection at the correct depth, and a second gate valve that closed the top of the cod end before retrieval. Some trap deployments functioned as simple sediment traps, and some deployments were combined trap and in situ incubators. The combined trap incubators consisted of upper and lower chambers. The material used to calculate fluxes reported here was collected from the upper chamber and was not incubated. After every deployment, sediment trap material was filtered onto pre-combusted GF-75 filters (0.3 µm nominal pore size). To conform to community standards, zooplankton carcasses were not included in the measurements of carbon and nitrogen flux. Filter samples (particles only) were wafted with HCl overnight to remove carbonate and sent to the University of Washington Isolab facility in the Department of Earth and Space Sciences (Seattle, WA) for C and N analysis.
These data were collected to improve our understanding of sinking fluxes of organic matter in the offshore Oxygen Deficient Zone, and to see whether Oxygen Deficient Zones reduce organic matter attenuation
Megan Duffy, Jacquelyn Neibauer, and Allan Devol and Rick Keil from the University of Washington deployed these sediment trap systems. Clara Fuchsman and Megan Duffy analyzed the data.

cdm_data_type = Other
VARIABLES:
Station (unitless)
latitude (degrees_north)
longitude (degrees_east)
... (11 more variables)


[ETNP 2018-2019 suspended POM concentrations and isotopes] - Suspended Organic Particle concentration and stable C and N isotopes from the Eastern Tropical North Pacific in April 2018 (R/V Roger Revelle RR1805) and October 2019 (R/V Kilo Moana KM1920) (Dimensions: Diversity, assembly and function of microbial communities on suspended and sinking particles in a marine Oxygen Deficient Zone)

Suspended Organic Particle Carbon and Nitrogen concentrations and stable C and N isotopes were obtained from the Eastern Tropical North Pacific on the R/V Revelle cruise RR1805 in April 2018 and the R/V Kilo Moana cruise KM1920 in October 2019. R/V Revelle cruise RR1805 sampled two stations in 2018: St P2 (16.9ºN 107ºW) and St P1 (20.3 °N 106.1°W). These two stations included an anoxic Oxygen Deficient Zone from 105-820 m for St P2 and 68-800 m for St P1. The R/V Kilo Moana cruise KM1920 sampled two stations in 2019: St P2 (16.9°N 107°W) and St P3 (21.8°N  109.9°W). These two stations included an anoxic Oxygen Deficient Zone from 110-820 m for St P2 and 160-650 m for St P3. St P3 is at the Northern Edge of the Oxygen Deficient Zone. St P2 is offshore in the core of the Oxygen Deficient Zone, and St P1 is on the continental slope.

During both cruises, water for bulk suspended particulate organic C and N analyses was obtained from Niskin bottles on a CTD rosette and vacuum-filtered it onto pre-combusted GF/F filters. Samples were wafted with HCl to remove carbonate and sent to the UC Davis Stable Isotope Facility (Davis, CA) for C and N analysis utilizing an elemental analyzer attached to an isotope ratio mass spectrometer.

The samples were obtained to determine whether organic matter concentrations increased and isotopic composition changed at the secondary chlorophyll maximum in the Oxygen Deficient Zone and at the zooplankton/forage fish vertical migration depth in the Oxygen Deficient Zone.  St P2 and St P1  had a secondary chlorophyll maximum and St P3 did not.

Samples were collected and data were analyzed by Clara Fuchsman of Horn Point Laboratory, a part of the University of Maryland Center for Environmental Science.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
station (unitless)
Cast (unitless)
latitude (degrees_north)
longitude (degrees_east)
... (7 more variables)


[ETNP 2019 size fractionated POM concentrations and isotopes] - Size fractionated organic C and N concentrations and stable isotopes from the Eastern Tropical North Pacific on the R/V Kilo Moana cruise KM1920 in October 2019 (Dimensions: Diversity, assembly and function of microbial communities on suspended and sinking particles in a marine Oxygen Deficient Zone)

Size fractionated Organic Particle Carbon and Nitrogen concentrations and stable C and N isotopes from the Eastern Tropical North Pacific  were obtained from the R/V Kilo Moana on cruise KM1920 in the Eastern Tropical North Pacific at two stations in October 2019: St P2 (16.9°N 107°W) and St P3 (21.8°N 109.9°W). These two stations included an anoxic Oxygen Deficient Zone from 110-820 m for St P2 and 160-650 m for St P3.

For size fractionated particulate organic C and N analyses, water was obtained from Niskin bottles on a CTD rosette, by opening the bottom of the Niskin bottle.  Water was gravity filtered through stacked mesh with the following pore sizes: 500 um, 180 um, 53 um, 20 um, and 5 um. Each fraction was resuspended off the mesh and vacuum filtered it onto pre-combusted GF/C filters (nominal pore size 1.2 um). Samples were wafted with HCl to remove carbonate and sent to the UC Davis Stable Isotope Facility (Davis, CA) for C and N analysis utilizing an elemental analyzer attached to an isotope ratio mass spectrometer.

The samples were obtained to determine particle size to carbon and nitrogen relationships for models, while gaining insights into the origins of particulate organic matter in the Oxygen Deficient Zone.

Samples were collected by Jacob Cram of Horn Point Laboratory (University of Maryland Center for Environmental Science) and his lab members.

Filters were prepped in the lab, and data were analyzed by Clara Fuchsman of Horn Point Laboratory, a part of the University of Maryland Center for Environmental Science.

cdm_data_type = Other
VARIABLES:
Station (unitless)
latitude (degrees_north)
longitude (degrees_east)
Date (unitless)
depth (m)
... (7 more variables)


[ETNP Iodine Speciation] - Iodine speciation measurements aboard R/V Roger Revelle and R/V Falkor in April and June 2018, respectively. (The role of cryptic nutrient cycling within sinking particles on trace element transport in oxygen minimum zones)

Iodine speciation measurements aboard R/V Roger Revelle and R/V Falkor in April and June 2018, respectively.

cdm_data_type = Other
VARIABLES:
cruise_id (unitless)
Bottle (unitless)
Station (unitless)
depth (m)
Iodate (nanoMolar)
Iodide (nanoMolar)
Total_Iodine (nanoMolar)
Excess_Iodine (nanoMolar)
longitude (degrees_east)
latitude (degrees_north)
Date (unitless)
Time_UTC (unitless)
source_file (unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)


[ETNP17 Nutrients and Rates] - Nutrient concentrations and biogeochemical rate data collected in the eastern tropical North Pacific Ocean in 2017 on R/V Oceanus cruise 1704A (CAREER: Oxygen sensitivity of aerobic respiration and nitrification in oxygen minimum zones and biogeochemical feedbacks to deoxygenation)

This dataset contains nutrient concentrations and biogeochemical rate data collected in the eastern tropical North Pacific Ocean in 2017 on R/V Oceanus cruise 1704A.

cdm_data_type = Other
VARIABLES:
latitude (degrees_north)
longitude (degrees_east)
Date (unitless)
Time_Local (unitless)
Station (unitless)
depth (m)
OCR (micromoles per liter per day)
Nitrate (micromolar)
Nitrite (micromolar)
Ammonium (micromolar)
Ammonia_oxidation (nanomoles per liter per day)
Nitrite_oxidation (nanomoles per liter per day)


[ETSP 2013 NO3 NO2 N2O] - Nitrate, nitrite, and nitrous oxide isotope measurements from the Eastern Tropical South Pacific ocean collected on RVIB Nathaniel B. Palmer cruise NBP1305 from June to July 2013 (Biogeochemistry of nitrous oxide cycling in the eastern tropical South Pacific)

Nitrate, nitrite, and nitrous oxide isotope measurements from the Eastern Tropical South Pacific ocean collected on RVIB Nathaniel B. Palmer cruise NBP1305 from June to July 2013. The data in this dataset were published in Peters et al. (2018) and Casciotti et al. (2018).

cdm_data_type = Other
VARIABLES:
CTD_cast (unitless)
STN (unitless)
time (seconds since 1970-01-01T00:00:00Z)
depth (m)
PRESSURE (decibars)
latitude (degrees_north)
longitude (degrees_east)
TEMPERATURE (degrees C)
SALINITY (Sea Water Practical Salinity, PSU)
SIGMA_THETA (Sea Water Sigma Theta, kg/m3)
SBE_OXYGEN (umol/kg)
O2_SAT_mL_L (O2 SAT M L L, ml/L)
O2_SAT_umol_kg (umol/kg)
AOU (umol/kg)
NO3_sample_IDs (unitless)
sulfamic_treated (unitless)
d15N_NO3 (Mole Concentration Of Nitrate In Sea Water, per mil vs. N2)
d15N_NO3_sd (D15 N NO3 Sd, per mil)
d18O_NO3 (Mole Concentration Of Nitrate In Sea Water, per mil vs. VSMOW)
d18O_NO3_sd (D18 O NO3 Sd, per mil)
d15N_NO2 (Mole Concentration Of Nitrite In Sea Water, per mil vs. N2)
d15N_NO2_sd (D15 N NO2 Sd, per mil)
d18O_NO2 (Mole Concentration Of Nitrite In Sea Water, per mil vs. VSMOW)
d18O_NO2_sd (D18 O NO2 Sd, per mil)
N2O_sample_ID_1 (N2 O Sample ID 1, unitless)
... (21 more variables)


[ETSP N2O] - Nitrous oxide (N2O) concentrations and associated physicochemical parameters from R/V Atlantis cruise AT15-61 in Jan-Feb 2010 and R/V Melville cruise MV1104 in Mar-Apr 2011 in the Eastern Tropical South Pacific (ETSP) (Expression of Microbial Nitrification in the Stable Isotopic Systematics of Oceanic Nitrite and Nitrate)

This dataset includes nitrous oxide (N2O) concentrations and associated physicochemical parameters from the CTD sensor package collected on R/V Atlantis cruise AT15-61 in January-February 2010 and R/V Melville cruise MV1104 in March-April 2011 in the Eastern Tropical South Pacific (ETSP). These data were published as Figure 5 in Santoro et al., 2020 (doi:10.1002/essoar.10503499.1).

cdm_data_type = Other
VARIABLES:
ISO_Date_Local (unitless)
latitude (degrees_north)
longitude (degrees_east)
Station (unitless)
Cast (unitless)
Depth (meters (m))
Salinity (practical salinity units (psu))
Temperature (degrees Celsius)
Density (kilograms per cubic meter (kg/m^3))
Oxygen (micromoles per kilogram (umol/kg))
Pressure (decibars)
Potential_Temp (degrees Celsius)
AOU (micromoles per kilogram (umol/kg))
sigma_theta (kilograms per cubic meter (kg/m^3))
sigma_T (kilograms per cubic meter (kg/m^3))
d15n_alpha_1 (permille)
d15n_beta_1 (permille)
SP_1 (permille)
d15n_bulk_1 (permille)
d17O_1 (permille)
d18O_1 (permille)
N2O_nM_1 (nanomoles per liter (nM))
flag_1 (unitless)
d15n_alpha_2 (permille)
... (10 more variables)


[ETSP NO3 and NO2 isotopes] - Nitrate (NO3-) and Nitrite (NO2-) d15N and d18O from R/V Atlantis cruise AT15-61 in Jan-Feb 2010 and R/V Melville cruise MV1104 in Mar-Apr 2011 in the Eastern Tropical South Pacific (ETSP) (Expression of Microbial Nitrification in the Stable Isotopic Systematics of Oceanic Nitrite and Nitrate)

This dataset includes nitrate (NO3-) and nitrite (NO2-) d15N and d18O from R/V Atlantis cruise AT15-61 in January-February 2010 and R/V Melville cruise MV1104 in March-April 2011 in the Eastern Tropical South Pacific (ETSP). Accompanying physiochemical data can be found in a related BCO-DMO dataset, https://www.bco-dmo.org/dataset/821268.

cdm_data_type = Other
VARIABLES:
Year (unitless)
Station (unitless)
Depth (meters (m))
del15N_NO3 (permille)
del15N_NO3_sd (permille)
del18O_NO3 (permille)
del18O_NO3_sd (permille)
del15N_NO2 (permille)
del15N_NO2_sd (permille)
del18O_NO2 (permille)
del18O_NO2_sd (permille)
ISO_Date_Local (unitless)
Latitude (degrees_north)
Longitude (degrees_east)


[Eukaryotic viruses encode the ribosomal protein eL40] - NCBI accession metadata for Eukaryotic viruses encoding ribosomal protein eL40 from samples collected on KM1419 and KM1108 from Mar 2011 to Sep 2014 (Giant viruses in the open ocean: Is large size adaptive where cells are scarce?)

This dataset contains sample collection metadata, as well as GenBank accessions and relevant Bioproject numbers for FloV-SA2 samples collected on KM1419 and KM1108 at Station ALOHA from Mar 2011 to Sep 2014.

This study analyzes the genome of FloV-SA2 (phylum Nucleocytoviricota), a cultured marine virus isolated  from open ocean seawater in the Pacific Ocean using a marine microalga strain (UHM3020) in the genus Florenciella (class Dictyochophyceae) as a host. The analysis highlights unique features of the genome, including the encoding of a ribosomal protein (eL40) and a group II viral rhodopsin. The research explores the affiliations and possible origins of these genes, supported by metagenomic and metatranscriptomic data indicating the presence and expression of eL40 in other giant viruses. This study expands the understanding of the metabolic versatility of eukaryoviruses and proposes new mechanisms by which these viruses can manipulate host resources and energy.

cdm_data_type = Other
VARIABLES:
Taxa_name (units)
Source_of_sample (units)
Genbank_accession (units)
Bioproject_number (units)
latitude (degrees_north)
longitude (degrees_east)
Date_Isolated (units)


[Eunicea flexuosa interactions] - Data from surveys of Eunicea flexusa colonies on St. John, VI National Park from 2014. (LTREB Long-term coral reef community dynamics in St. John, USVI: 1987-2019)

Data from surveys of Eunicea flexusa colonies on St. John, VI National Park from 2014.

cdm_data_type = Other
VARIABLES:
location (unitless)
latitude (degrees_north)
longitude (degrees_east)
species (unitless)
date (unitless)
height (centimeters)
width (centimeters)
depth (m)
colonyEffect_0 (Colony Effect 0, unitless)
colonyEffect_1 (Colony Effect 1, unitless)
colonyEffect_2 (Colony Effect 2, unitless)
colonyEffect_3 (Colony Effect 3, unitless)
colonyEffect_4 (Colony Effect 4, unitless)


[Euphotic Zone] - Estimates of Euphotic Zone (EZ) depths from R/V Roger Revelle cruise RR2201 in the Eastern Indian Ocean (Argo Basin) from February to March 2022 (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean)

This dataset contains estimates of Euphotic Zone (EZ) depths based on mean light extinction coefficients calculated from PAR sensor readings at 5 and 100 meters from cruise RR2201 on R/V Roger Revelle (BLOOFINZ-IO, January-March 2022) in the Argo Basin region off NW Australia.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
Event (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Cycle_Day (unitless)
CTD_Cast (unitless)
PAR_5m (umoles of photons m-2 s-1)
PAR_100m (umoles of photons m-2 s-1)
Ext_Coeff (reciprocal meters (m-1))
EZ_1pcnt (meters (m))


[event log LMG11-10] - Scientific sampling event log from ARSV Laurence M. Gould LMG1110 in the Southern Ocean from Nov. 2011 (Salp_Antarctic project) (Population ecology of Salpa thompsoni based on molecular indicators)

A digital event log to record all instrument deployments during the cruise.

cdm_data_type = Other
VARIABLES:
event (dimensionless)
inst (dimensionless)
cast (dimensionless)
station (dimensionless)
station_std
se_flag (dimensionless)
month_local (1-12)
day_local
time_local (dimensionless)
date_utc (unitless)
month_utc (1-12)
day_utc (1-31)
time_utc (dimensionless)
latitude (degrees_north)
longitude (degrees_east)
depth_w (Depth, meters)
depth (m)
si (dimensionless)
comments (dimensionless)


[event log] - Scientific sampling event log from R/V Endeavor cruise EN524 along the continental shelf of New England in 2013 (OA, Hypoxia and Warming project) (Ocean Acidification, Hypoxia and Warming: Experimental Investigations into Compounded Effects of Global Change on Benthic Foraminifera)

Scientific sampling event log from R/V Endeavor cruise EN524 along the continental shelf of New England in 2013.

cdm_data_type = Other
VARIABLES:
event (unitless)
sci_event (integer)
instrument (dimensionless)
action (dimensionless)
month_utc (unitless)
day_utc (unitless)
year (unitless)
time_utc (unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
station (dimensionless)
depth_w (Depth, meters)
depth (m)
latitude (degrees_north)
longitude (degrees_east)
author (dimensionless)
comment (dimensionless)


[event log] - Scientific sampling event log from R/V Knorr cruise KN207-03 in the North Atlantic (transect from Ponta Delgada, Azores to Reykjavik, Iceland) in 2012 (NA-VICE project) (Lipid lubrication of oceanic carbon and sulfur biogeochemistry via a host-virus chemical arms race)

Scientific sampling event log from R/V Knorr cruise KN207-03 in the North Atlantic (transect from Ponta Delgada, Azores to Reykjavik, Iceland) in 2012. The scientific sampling event log was created using v1.0 of the Rolling Deck to Repository (R2R) event log application.

cdm_data_type = Other
VARIABLES:
event (unitless)
date_utc (unitless)
time_utc (HHMM)
instrument (text)
action (text)
transect (dimensionless)
station (dimensionless)
cast (dimensionless)
latitude (degrees_north)
longitude (degrees_east)
depth_w (Depth, meters)
author (text)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
comment (text)


[event log] - Scientific sampling event log from R/V Knorr cruise KN210-04 in the Western Atlantic Ocean between Uruguay and Barbados in 2013 (Deep Atlantic DOM project) (Dissolved Organic Matter Composition in the Deep Atlantic Ocean)

Scientific sampling event log from R/V Knorr cruise KN210-04 in the Western Atlantic Ocean between Uruguay and Barbados in 2013 (Deep Atlantic DOM project).

cdm_data_type = Other
VARIABLES:
event (dimensionless)
date_utc (unitless)
time_utc (HHMM)
instrument (dimensionless)
action (dimensionless)
station (dimensionless)
cast (dimensionless)
latitude (degrees_north)
longitude (degrees_east)
seafloor (meters)
author (dimensionless)
comment (dimensionless)


[Event logs: MCR10-1 and MCR11-1] - Scientific sampling event logs from two cruises/trips at the Richard B Gump Research Station at Moorea LTER in 2010 and 2011 (MCR LTER and Coral DOM projects) (Moorea Coral Reef Long-Term Ecological Research site)

Scientific sampling event logs recorded during the MCR10-1 cruise/trip (the Coral DOM 2010 Research Campaign) and the MCR11-1 cruise/trip (the Coral DOM 2011 Research Campaign) at the Richard B Gump Research Station at the Moorea Coral Reef LTER site.

cdm_data_type = Other
VARIABLES:
cruiseid (dimensionless)
year (unitless)
latitude (degrees_north)
longitude (degrees_east)
event (dimensionless)
project_code (dimensionless)
site_ID (dimensionless)
activity (dimensionless)
sample_desig (dimensionless)
date_local (mm/dd/yy)
time_start_local (HHMM)
time_end_local (HHMM)
time (ISO Date Time Start UTC, seconds since 1970-01-01T00:00:00Z)
si (dimensionless)
comment (dimensionless)


[Event Logs] - Event logs from R/V Oceanus, R/V Endeavor cruises OC468-02, EN496, EN509, EN510 in the Gulf of Mexico; 2010-2012 (GoMX - N2 Fixation project) (Nitrogen fixation, nutrient supply and biological production in the Gulf of Mexico )

Event logs from R/V Oceanus, R/V Endeavor cruises OC468-02, EN496, EN509, EN510 in the Gulf of Mexico; 2010-2012 (GoMX - N2 Fixation project)

cdm_data_type = Other
VARIABLES:
CruiseId (Cruise Id, text)
Op_Number (unitless)
Stn (dimensionless)
Evt (dimensionless)
Date_Local (unitless)
Time_Local (unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
Latitude_Deg_N (Latitude, whole degrees)
Latitude_Min_N (Latitude, decimal minutes)
Longitude_Deg_W (Longitude, whole degrees)
Longitude_Min_W (Longitude, decimal minutes)
latitude (degrees_north)
longitude (degrees_east)
Lease_Block (text)
Operation (text)
Seq_Number (dimensionless)
Notes (text)


[event logs] - Log of sampling events from R/V Point Sur cruises PS1009 and PS1103 in the Santa Barbara Channel from 2010-2011 (SBDOM project, SBC LTER project) (Mechanisms controlling the production and fate of DOM during diatom blooms)

Log of events recorded during SBDOM deployments PS1009 (also known as SBDOM10) and PS1103 (SBDOM11).

cdm_data_type = Other
VARIABLES:
cruise_name (text)
cruise_id (text)
year (unitless)
event (unitless)
date_gmt (mm/dd/yy)
month_gmt (mm)
day_gmt (dd)
time_gmt (HHMM)
date_local (mm/dd/yy)
time_local (HHMM)
latitude (degrees_north)
longitude (degrees_east)
sta_id (text)
depth (m)
activity (text)
sample (dimensionless)
sample_type (text)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
comment (text)


[event_log] - Scientific sampling event log in the CoFeMUG cruise from R/V Knorr KN192-05 in the South Atlantic subtropical gyre and Benguela upwelling region (CoFeMUG project) (Cobalt, Iron and Micro-organisms from the Upwelling zone to the Gyre)

Scientific sampling event log in the CoFeMUG cruise from R/V Knorr KN192-05 in the South Atlantic subtropical gyre and Benguela upwelling region.

cdm_data_type = Other
VARIABLES:
Cruise_ID (dimensionless)
event (dimensionless)
sta (dimensionless)
cast (dimensionless)
date (dimensionless)
year (dimensionless)
mon (dimensionless)
day (dimensionless)
time2 (Time, dimensionless)
time_L (dimensionless)
TZ (dimensionless)
lon_360 (Longitude, decimal degrees)
longitude (degrees_east)
latitude (degrees_north)
ev_code (dimensionless)
ev_type (dimensionless)
seafloor (meters)
activities_and_comments (dimensionless)


[event_log_2004-1] - Multi-cruise sampling event log from R/V Oceanus OC404-01 and R/V Weatherbird II WB0409 cruises in the Sargasso Sea in 2004 (EDDIES project) (Eddies Dynamics, Mixing, Export, and Species composition)

Multi-cruise sampling event log from R/V Oceanus OC404-01 and R/V Weatherbird II WB0409 cruises in the Sargasso Sea in 2004.

cdm_data_type = Other
VARIABLES:
event (unitless)
date (unitless)
time2 (Time, unitless)
longitude (degrees_east)
latitude (degrees_north)
Cruise_ID (dimensionless)
sta (dimensionless)
ev_type (dimensionless)
sampling_type (dimensionless)
depth_max (Depth, meters)
dist_EC (kilometers)
radiometer_file (dimensionless)
activity_and_comments (dimensionless)


[event_logs] - Scientific sampling event logs from R/V Atlantis and R/V F.G. Walton Smith cruises AT18-02 and WS1010 in the Gulf of Mexico Macondo wellhead area in 2010 (DWH_Deep_Microbes project) (RAPID Deepwater Horizon Oil Spill: Deep pelagic and benthic impacts of the oil spill)

Scientific sampling event logs from R/V Atlantis and R/V F.G. Walton Smith cruises AT18-02 and WS1010 in the Gulf of Mexico Macondo wellhead area in 2010.

cdm_data_type = Other
VARIABLES:
cruiseid (text)
platform (text)
year (unitless)
event (unitless)
instr (text)
cast (unitless)
action (text)
sta (unitless)
sta_desc (unitless)
sta_cast (unitless)
month_utc (mm (01 to 12))
day_utc (dd (01 to 31))
time_utc (HHMM)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
depth_max (Depth, meters)
bottles_fired (Y or N)
date_local (unitless)
time_local (HHMM)
time_diff (hours)
si (text)
comment (text)


[eventlogs] - Cruise Event Logs from 15 vessels for 116 U.S. GLOBEC cruises from 1997-2004 in the Northeast Pacific and Gulf of Alaska areas (NEP program) (U.S. GLOBEC Northeast Pacific)

Cruise Event Logs from 15 vessels for 116 U.S. GLOBEC cruises from 1997-2004 in the Northeast Pacific and Gulf of Alaska areas

cdm_data_type = Other
VARIABLES:
cruiseid (N/A)
year (N/A)
platform (N/A)
event (N/A)
inst (N/A)
cast (N/A)
station (N/A)
station_std (N/A)
day_local (N/A)
month_local (N/A)
time_local (N/A)
se_flag (N/A)
timediff (hours)
latitude (degrees_north)
longitude (degrees_east)
depth_w (Depth, meters)
depth (m)
si (N/A)
region (N/A)
day_gmt (N/A)
month_gmt (N/A)
time_gmt (N/A)
haul (N/A)
station_alt (N/A)
comments (N/A)


[eventlogs] - Event logs from 11 ARSV Laurence M. Gould and RVIB Nathaniel B. Palmer cruises to the Southern Ocean as part of the U.S. GLOBEC Southern Ocean Project in 2001-2003 (U.S. GLOBEC Southern Ocean)

Event logs from 11 ARSV Laurence M. Gould and RVIB Nathaniel B. Palmer cruises to the Southern Ocean as part of the U.S. GLOBEC Southern Ocean Project in 2001-2003

cdm_data_type = Other
VARIABLES:
cruiseid
year
platform
event
inst
cast
station
station_std
day_local
month_local
time_local
se_flag
timediff
latitude (degrees_north)
longitude (degrees_east)
depth_w (Depth, meters)
depth (m)
si
region
day_gmt
month_gmt
time_gmt
comments


[eventlogs] - Event logs from the U.S. GLOBEC Georges Bank project, from 10 vessels and 104 cruises in the Gulf of Maine and Georges Bank area from 1994-1999 (GB project) (U.S. GLOBEC Georges Bank)

Event logs from the U.S. GLOBEC Georges Bank project, from 10 vessels and 104 cruises in the Gulf of Maine and Georges Bank area from 1994-1999. Event logs provide an overall summary of the sampling activities during a cruise.

cdm_data_type = Other
VARIABLES:
cruiseid
year
platform
event
inst
cast
station
station_std
day_local
month_local
time_local
se_flag
timediff
latitude (degrees_north)
longitude (degrees_east)
depth_w (Depth, meters)
depth (m)
si
region
day_gmt
month_gmt
time_gmt
comments


[Exp and Survey Biogeochem and Microbial data] - Experimental and survey biogeochemical and microbial data from R/V Point Sur cruises PS1009 and PS1103 in the Santa Barbara Channel from 2010-2011 (SBDOM project, SBC LTER project) (Mechanisms controlling the production and fate of DOM during diatom blooms)

The dataset includes experimental and survey biogeochemical and microbial data. Samples were collected during research cruises in April 2010 and May 2011 in the Santa Barbara Channel.

cdm_data_type = Other
VARIABLES:
cruise_name (text)
cruise_id (text)
activity (text)
event (unitless)
sta_id (alphanumeric)
cast_type (text)
cast (alphanumeric)
depth_bottom (Depth, meters (m))
date_local (unitless)
time_local (unitless)
decimal_year_local (decimal year)
date_gmt (unitless)
time_gmt (unitless)
decimal_year_gmt (decimal year)
latitude (degrees_north)
longitude (degrees_east)
ISO_DateTime_Local (ISO Date Time Local, unitless)
depth (m)
depth_target (Depth, meters (m))
bottle (integer or text)
sample (integer)
collection_bot_ID (integer)
phosphate (Mass Concentration Of Phosphate In Sea Water, micromoles per Liter (umol/L))
silicate (Mass Concentration Of Silicate In Sea Water, micromolar (uM))
NO2 (Mole Concentration Of Nitrite In Sea Water, micromoles per Liter (umol/L))
NO3_NO2 (Mole Concentration Of Nitrate In Sea Water, micromoles per Liter (umol/L))
... (46 more variables)


[Experiment 1: the effect of relatedness and density on survival and growth.] - The effect of relatedness and density on survival and growth of Bugula neritina in the Gulf of Mexico, Florida from  October to December 2021. (Consequences of kin structure in benthic marine systems)

In the Gulf of Mexico, Florida, we performed a series of field experiments using an experimentally tractable species (the bryozoan Bugula neritina) to test the hypothesis that the density, spatial arrangement, and genetic relatedness of neighbours differentially affect survival, growth, reproduction, paternity, and sperm dispersal. We manipulated the density and relatedness of neighbours and found that increased density reduced survival but not growth rate, and that there was no effect of relatedness on survival, growth, or fecundity, in contrast to previous studies. We also manipulated the distances to the nearest neighbour and used genetic markers to assign paternity within known mother–offspring groups to estimate how proximity affects mating success. Distance to the nearest neighbour did not affect the number of settlers produced, the paternity share, or the degree of multiple paternity. Overall, larger than expected sperm dispersal led to high multiple paternity, regardless of the distance to the nearest neighbour.

cdm_data_type = Other
VARIABLES:
latitude (degrees_north)
longitude (degrees_east)
Unique_ID (unitless)
Mother_colony (unitless)
Density (unitless)
Relatedness (unitless)
Grid_position (unitless)
X (unitless)
Y (unitless)
Inside_outside (unitless)
Date (unitless)
Age_days (unitless)
Bifurcations (unitless)
Zooids (unitless)
Survival (unitless)


[Experiment 2: the effect of relatedness on survival, growth, and reproduction] - The effect of relatedness on survival, growth, and reproduction of Bugula neritina in the Gulf of Mexico, Florida from March to June 2022. (Consequences of kin structure in benthic marine systems)

In the Gulf of Mexico, Florida, we performed a series of field experiments using an experimentally tractable species (the bryozoan Bugula neritina) to test the hypothesis that the density, spatial arrangement, and genetic relatedness of neighbours differentially affect survival, growth, reproduction, paternity, and sperm dispersal. We manipulated the density and relatedness of neighbours and found that increased density reduced survival but not growth rate, and that there was no effect of relatedness on survival, growth, or fecundity, in contrast to previous studies. We also manipulated the distances to the nearest neighbour and used genetic markers to assign paternity within known mother–offspring groups to estimate how proximity affects mating success. Distance to the nearest neighbour did not affect the number of settlers produced, the paternity share, or the degree of multiple paternity. Overall, larger than expected sperm dispersal led to high multiple paternity, regardless of the distance to the nearest neighbour.

cdm_data_type = Other
VARIABLES:
latitude (degrees_north)
longitude (degrees_east)
Unique_ID (unitless)
Mother_colony (unitless)
Relatedness (unitless)
Grid_position (unitless)
X (unitless)
Y (unitless)
Position (unitless)
Date (unitless)
Age_days (unitless)
Bifurcations (unitless)
Zooids (unitless)
Survival (unitless)
Fertilized_ovicells (unitless)
Ovicells_total (unitless)


[Experiment 3: the effect of distance to the nearest neighbour on reproductive output and paternity] - The effect of distance to the nearest neighbour on reproductive output and paternity of Bugula neritina in the Gulf of Mexico, Florida from April to June 2021. (Consequences of kin structure in benthic marine systems)

In the Gulf of Mexico, Florida, we performed a series of field experiments using an experimentally tractable species (the bryozoan Bugula neritina) to test the hypothesis that the density, spatial arrangement, and genetic relatedness of neighbours differentially affect survival, growth, reproduction, paternity, and sperm dispersal. We manipulated the density and relatedness of neighbours and found that increased density reduced survival but not growth rate, and that there was no effect of relatedness on survival, growth, or fecundity, in contrast to previous studies. We also manipulated the distances to the nearest neighbour and used genetic markers to assign paternity within known mother–offspring groups to estimate how proximity affects mating success. Distance to the nearest neighbour did not affect the number of settlers produced, the paternity share, or the degree of multiple paternity. Overall, larger than expected sperm dispersal led to high multiple paternity, regardless of the distance to the nearest neighbour.

cdm_data_type = Other
VARIABLES:
latitude (degrees_north)
longitude (degrees_east)
Colony (units)
Block (units)
Treatment (units)
Position (units)
Direction (units)
X (units)
Y (units)
Time_days (units)
Bifurcations (units)
Zooids (units)
rgr40 (units)
Offspring (units)
Samples (units)
Survival (units)


[Experiment Metrics] - Experiment details for invertebrate larvae electrophysiology (Vision-mediated influence of low oxygen on the physiology and ecology  of marine larvae)

Experiment Details for invertebrate larvae electrophysiology

cdm_data_type = Other
VARIABLES:
Species (unitless)
Experiment_Name (unitless)
Normoxia_Time (minute (min))
O2_Decay (minute (min))
Normoxia_O2 (micromole per liter (umol/L))
Low_O2 (micromole per liter (umol/L))
O2_Change (micromole per liter (umol/L))
O2_Change_Time (micromole per liter per minute (umol/l per min))
Low_O2_Min (minute (min))
Total_Exp_Time (hour (hr))
pH (unitless)
Temp_Max (degrees Celsius (C)
Temp_Min (degrees Celsius (C)
Temp_Avg (degrees Celsius (C)
Stimulus_Irradiance (mol photons per second and square meter (mol m-2s-1))


[Experimental pCO2 manipulation experiments 2010-2012] - Rates of primary and bacterial production, and chlorophyll concentrations measured experimentally under ambient and elevated pCO2 (750 or 1100 µatm) from Hawaii Ocean Time-series near Station ALOHA from 2010-2011. (Oceanic diazotroph community structure and activities in a high carbon dioxide world)

Rates of primary and bacterial production, and chlorophyll concentrations measured experimentally under ambient and elevated pCO2 (750 or 1100 \u00b5atm) from Hawaii Ocean Time-series near Station ALOHA from 2010-2011.

cdm_data_type = Other
VARIABLES:
cruise_id (unitless)
cast (unitless)
date (unitless)
year (unitless)
month (unitless)
day (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
PP_mean_gt_0pt2um (micromol C/liter/day)
PP_std_dev_gt_0pt2um (micromol C/liter/day)
PP_num_obs_gt_0pt2um (unitless)
PP_mean_750uatm_pco2_gt_0pt2um (micromol C/liter/day)
PP_std_dev_750uatm_pco2_gt_0pt2um (micromol C/liter/day)
PP_num_obs_750uatm_pco2_gt_0pt2um (unitless)
PP_mean_1100uatm_pco2_gt_0pt2um (micromol C/liter/day)
PP_std_dev_1100uatm_pco2_gt_0pt2um (micromol C/liter/day)
PP_num_obs_1100uatm_pco2_gt_0pt2um (unitless)
dissolved_inorganic_carbon_mean (micromol/kilogram seawater)
dissolved_inorganic_carbon_stdev (micromol/kilogram seawater)
dissolved_inorganic_carbon_num_obs (unitless)
dissolved_inorganic_carbon_750uatm_pco2_mean (micromol/kilogram seawater)
dissolved_inorganic_carbon_750uatm_pco2_stdev (micromol/kilogram seawater)
dissolved_inorganic_carbon_750uatm_pco2_num_obs (unitless)
dissolved_inorganic_carbon_1100uatm_pco2_mean (micromol/kilogram seawater)
... (38 more variables)


[EXPORTS NA nuts and TM field data] - Dissolved trace metal and macronutrient concentrations rom field samples collected during the EXPORTS North Atlantic campaign at the Porcupine Abyssal Plain-Sustained Observatory (PAP-SO) site on board the RRS Discovery (DY131) in May 2021 (Collaborative Research: Diatoms, Food Webs and Carbon Export - Leveraging NASA EXPORTS to Test the Role of Diatom Physiology in the Biological Carbon Pump)

This dataset includes dissolved trace metal (manganese, iron, cobalt, nickel, copper, cadmium, zinc, lead) and macronutrient (nitrate+nitrite, phosphate, silicic acid, nitrite) concentration data from field samples collected during the EXPORTS North Atlantic campaign at the Porcupine Abyssal Plain-Sustained Observatory (PAP-SO) site on board the RRS Discovery (DY131). These data were primarily collected opportunistically during the course of water collection for incubation experiments (see separate dataset for incubations), and provide field context for the shipboard incubation experiments as well as temporal characterization of a retentive anticyclonic eddy occupied over the course of the cruise.

This research focuses on the vertical export of the carbon associated with a major group of phytoplankton, the diatoms in the North Atlantic near the Porcupine Abyssal Plain. The major objective is to understand how diatom community composition and the prevailing nutrient conditions create taxonomic differences in metabolic state that combine to direct diatom taxa to different carbon export pathways. The focus is on diatoms, given their large contribution to global marine primary productivity and carbon export which translates into a significant contribution to the biogeochemical cycling of carbon (C), nitrogen (N), phosphorus (P), iron (Fe) and silicon (Si). It is hypothesized that the type and degree of diatom physiological stress are vital aspects of ecosystem state that drive export. To test this hypothesis, combined investigator expertise in phytoplankton physiology, genomics, and trace element chemistry is used to assess the rates of nutrient use and the genetic composition and response of diatom communities, with measurements of silicon and iron stress to evaluate stress as a predictor of the path of diatom carbon export. The EXPORTS field campaign in the North Atlantic sampled a retentive eddy over nearly a month in May 2021, which coincided with the decline of the North Atlantic Spring Bloom.

cdm_data_type = Other
VARIABLES:
CRUISE_ID (unitless)
EVTNBR (unitless)
DATE_UTC (unitless)
TIME_UTC (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
... (90 more variables)


[Extracellular reef seawater metabolites from the Jardines de la Reina reef-system] - Sampling and accession information for extracellular reef seawater metabolites collected from the Jardines de la Reina reef-system, Cuba in November of 2017 (Signature exometabolomes of Caribbean corals and influences on reef picoplankton)

This dataset contains sampling and accession information for extracellular reef seawater metabolites collected from two different depths across 9 different shallow forereefs in the Jardines de la Reina reef-system, Cuba. Reef seawater samples, collected in duplicate per depth and location, were subjected to targeted and untargeted liquid chromatography mass spectrometry (LC-MS) methods in addition to a suite of biogeochemical measurements (see Related Datasets for access to the biochemistry data). Raw and .mzML data files from the LC-MS methods are located at MetaboLights database, using accession number MTBLS1820.(Accessible from https://www.ebi.ac.uk/metabolights/MTBLS1820/).

These data were published in Weber et al. (2020).

cdm_data_type = Other
VARIABLES:
MetaboLights_Study_Number (unitless)
Sample_Name (unitless)
reef (unitless)
site (unitless)
Seawater_collection_date (unitless)
Latitude (degrees_north)
longitude (degrees_east)
Sample_type (unitless)
Seawater_sampling_location (unitless)
Depth (unitless)
Replicate (unitless)
Profiling_mode (unitless)
Ion_mode (unitless)
raw_file_name (unitless)
derived_file_name (unitless)


[fairy basslet baseline density] - Fairy basslet counts and density prior to manipulation experiments conducted at reefs near Eleuthera, Bahamas in 2012 (Lionfish Invasion project) (Ecological Release and Resistance at Sea: Invasion of Atlantic Coral Reefs by Pacific Lionfish)

Fairy basslet counts and density prior to manipulation experiments conducted at reefs near Eleuthera, Bahamas in 2012/

cdm_data_type = Other
VARIABLES:
site (text)
latitude (degrees_north)
longitude (degrees_east)
pair (integer)
ledge_tag (dimensionless)
lionfish_present (Yes or No)
area (square meters)
basslet_baseline_abund (integer)
basslet_density (fish per square meter)
basslet_added (Yes or No)


[fairy basslet census LSI] - Fairy basslet censuses at control and experimental reefs near Lee Stocking Island, Bahamas from 2009-2012 (Lionfish Invasion project) (Ecological Release and Resistance at Sea: Invasion of Atlantic Coral Reefs by Pacific Lionfish)

Fairy basslet censuses at control and experimental reefs near Lee Stocking Island, Bahamas from 2009-2012.

cdm_data_type = Other
VARIABLES:
site (text)
lat_site (decimal degrees)
lon_site (Longitude, decimal degrees)
location (text)
latitude (degrees_north)
longitude (degrees_east)
treatment (text)
date_census (unitless)
survey (dimensionless)
ledge_tag (dimensionless)
census_area (m^2)
count_tot (integer)
lenbin_min (cm)
lenbin_max (cm)
num_fish_len (integer)


[fairy basslet counts post-invasion] - Results of fairy basslet (Gramma loreto) surveys on historically monitored ledges near Lee Stocking Island, Bahamas following invasion by red lionfish (Pterois volitans), 2009-2012 (Lionfish Invasion project) (Ecological Release and Resistance at Sea: Invasion of Atlantic Coral Reefs by Pacific Lionfish)

Results of fairy basslet (Gramma loreto) surveys on historically monitored ledges near Lee Stocking Island, Bahamas following invasion by red lionfish (Pterois volitans), 2009-2012.

cdm_data_type = Other
VARIABLES:
site (text)
lat_site (decimal degrees)
lon_site (Longitude, decimal degrees)
location (text)
latitude (degrees_north)
longitude (degrees_east)
date (unitless)
month (mm (01 to 12))
day (dd (01 to 31))
year (unitless)
ledge_tag_orig (dimensionless)
ledge_tag_new (dimensionless)
species (text)
species_code (code)
count_total (integer)
notes (text)
lenbin_min (cm)
lenbin_max (cm)
num_fish_len (integer)


[Fatty acid measurements - experimental animals] - Fatty acid measurements for animals used in laboratory-based experiments collected from the Gulf of Mexico Estuary near Port Aransas, Texas from 2020 to 2022 (Counter-gradient Flow of Fatty Acids in Marine Food Webs Through Egg Boons)

Fatty acid measurements for animals used in laboratory-based experiments collected from the Gulf of Mexico Estuary near Port Aransas, Texas from 2020 to 2022.  Laboratory experiments took place at the Fisheries and Mariculture Laboratory of the University of Texas Marine Science Institute from July 2021 to November 2022.

cdm_data_type = Other
VARIABLES:
Taxon (unitless)
Tissue_sampled (unitless)
Length (cm)
Tank_number (unitless)
Acclimation_days (days)
Days_after_acclimation (days)
Treatment (unitless)
Diet_fed (unitless)
Notes (unitless)
Primary_check (unitless)
C14_0_mg (milligrams per gram of dry weight (mg g-1 dw))
C15_0_mg (milligrams per gram of dry weight (mg g-1 dw))
C16_0_mg (milligrams per gram of dry weight (mg g-1 dw))
C16_1n7_mg (milligrams per gram of dry weight (mg g-1 dw))
C16_2n4_mg (milligrams per gram of dry weight (mg g-1 dw))
C17_0_mg (milligrams per gram of dry weight (mg g-1 dw))
C16_3n4_mg (milligrams per gram of dry weight (mg g-1 dw))
C17_1_mg (milligrams per gram of dry weight (mg g-1 dw))
C18_0_mg (milligrams per gram of dry weight (mg g-1 dw))
C18_1n9_mg (milligrams per gram of dry weight (mg g-1 dw))
C18_1n7_mg (milligrams per gram of dry weight (mg g-1 dw))
C18_2n6_mg (milligrams per gram of dry weight (mg g-1 dw))
C18_3n6_mg (milligrams per gram of dry weight (mg g-1 dw))
C18_3n4_mg (milligrams per gram of dry weight (mg g-1 dw))
... (54 more variables)


[Fatty acid measurements – field samples and lab eggs] - Fatty acid measurements for various marine samples collected from the Gulf of Mexico Estuary near Port Aransas, Texas from 2020 to 2022 as well as of red drum eggs spawned from captive adults from 2020 to 2022 (Counter-gradient Flow of Fatty Acids in Marine Food Webs Through Egg Boons)

Fatty acid measurements for various marine samples collected from the Gulf of Mexico Estuary near Port Aransas, Texas from 2020 to 2022 as well as of red drum eggs spawned from captive adults from 2020 to 2022.

cdm_data_type = Other
VARIABLES:
Taxon (unitless)
Common_name (unitless)
Sample_ID (unitless)
Year (unitless)
Month (unitless)
Date_collected (unitless)
Date_analyzed (unitless)
Classification (unitless)
Notes (unitless)
Site (unitless)
lat (degrees_north)
longitude (degrees_east)
Length (centimeters (cm))
Primary_check (unitless)
C14_pt_0_mg (milligrams per gram dry weight (mg g-1 dw))
C15_pt_0_mg (milligrams per gram dry weight (mg g-1 dw))
C16_pt_0_mg (milligrams per gram dry weight (mg g-1 dw))
C16_pt_1n7_mg (milligrams per gram dry weight (mg g-1 dw))
C16_pt_2n4_mg (milligrams per gram dry weight (mg g-1 dw))
C17_pt_0_mg (milligrams per gram dry weight (mg g-1 dw))
C16_pt_3n4_mg (milligrams per gram dry weight (mg g-1 dw))
C17_pt_1_mg (milligrams per gram dry weight (mg g-1 dw))
C18_pt_0_mg (milligrams per gram dry weight (mg g-1 dw))
C18_pt_1n9_mg (milligrams per gram dry weight (mg g-1 dw))
C18_pt_1n7_mg (milligrams per gram dry weight (mg g-1 dw))
... (57 more variables)


[Fatty acid profiles] - Fatty acid profiles of M. menidia females and their unfertilized eggs. (Collaborative research: Understanding the effects of acidification and hypoxia within and across generations in a coastal marine fish)

Gas chromatography was used to quantify the absolute (mg g dry weight-1) and
relative concentrations (% of total) of 27 FAs for each of 5 females (whole
individual) and their unfertilized eggs (~ 1 ml). Samples were first dried and
then homogenized in a solution of chloroform-methanol (2:1 v/v) and
tricosanoic acid (23:0) as an internal standard for quantification of mg
g\u22121\u00a0dry mass of fatty acids. Lipids were cold-extracted from
approximately 50 mg of dry mass. A Shimadzu GC-2014 gas chromatograph set with
a Phenomenex ZB-WAX plus capillary column (30\u00a0m long; 0.53 mm ID; 1.0 um
thick) was used to quantify FAs, and individual FAs were identified by
comparison to commercial standards (Supelco, Inc).\u00a0

These data are\u00a0associated with the corresponding paper:

[Snyder, J.T.*, Murray, C.S.*, and Baumann, H. (2017) Potential for maternal
effects on offspring CO2-sensitivities in a coastal marine fish. Journal of
Experimental Marine Biology and Ecology (in
press).](\\https://doi.org/10.1016/j.jembe.2017.11.002\\)

Other datasets related to this paper:

[Survival, length, and growth responses of M. menidia offspring from different
females exposed to contrasting CO2 environments.](\\https://www.bco-
dmo.org/dataset/719420\\)

cdm_data_type = Other
VARIABLES:
Species (unitless)
Collection_site (unitless)
latitude (degrees_north)
longitude (degrees_east)
Collection_date (unitless)
... (6 more variables)


[Fe(II) oxygen concentrations over time] - Fe(II) concentrations over time in iron oxidizing bacteria cultures. (Collaborative Research: The Role of Iron-oxidizing Bacteria in the Sedimentary Iron Cycle: Ecological, Physiological and Biogeochemical Implications)

Fe(II) concentrations over time in iron oxidizing bacteria cultures.

cdm_data_type = Other
VARIABLES:
vial (unitless)
date (unitless)
time2 (Time, hours)
Fe_II_concentration (mM)
standard_deviation (mM)


[Fe, Pu partitioning and organic biopolymers] - Partitioning of iron and plutonium in exopolymeric substances and intracellular biopolymers: a comparison study between the coccolithophore Emiliania huxleyi and the diatom Skeletonema costatum (Biopolymers as carrier phases for selected natural radionuclides (of Th, Pa, Pb, Po, Be) in diatoms and coccolithophores)

Iron (Fe), a micronutrient for algal growth, and plutonium (Pu), an anthropogenic radionuclide, share some common features. This includes similar oceanic distributions when different input modes are taken into account, as well as their chemical behavior, such as a high affinity to natural organic matter (NOM). The NOM produced by various phytoplankton communities can potentially influence Fe cycling in the ocean, and likely also influence the transport behavior of Pu. We conducted laboratory incubation experiments using the coccolithophore Emiliania huxleyi and the diatom Skeletonema costatum, in the presence of 59Fe and 238Pu as radiotracers, in order to differentiate Fe and Pu uptake by extracellular exopolymeric substances (EPS) and intracellular biopolymers. The Fe and Pu distributions in select organic compound classes including proteins, total carbohydrates (TCHO) and uronic acids (URA) produced by these two types of phytoplankton were compared. Our results indicated that most of the Fe and Pu (>95%) were found concurrently concentrated in E. huxleyi-derived non-attached EPS, while much less (<2%) was present in the intracellular fraction of E. huxleyi. By contrast, in the diatom S. costatum, both Fe and Pu distribution was EPS > intracellular biopolymers > outer cell covering (i.e., frustule). In fact, over 50% of Fe was concentrated in S. costatum-derived attached EPS and intracellular biopolymers. The diatom derived Fe-EPS complexes were more hydrophobic, with stronger tendency to aggregate in seawater. Fe binding to biopolymers in both E. huxleyi and S. costatum cultures was related to URA concentrations, but the overall distribution of URA between these two phytoplankton species was different. Our findings suggest that the presence of URA in S. costatum cellular surface (i.e., attached EPS) and its intracellular fraction could be an indicator for the Fe transport from the surrounding seawater to the diatom cells. However, for the coccolithophore E. huxleyi, Fe appeared not to be efficiently taken up during its growth. Instead, the more hydrophilic non-attached EPS (i.e., low protein/TCHO ratio) produced by E. huxleyi could have stabilized Fe in the colloidal form as Fe-EPS complexes. Similar partitioning behavior of Fe and Pu suggests that Pu isotopes can potentially serve as a tracer for the Fe biogeochemistry in the ocean.

cdm_data_type = Other
VARIABLES:
type (unitless)
Biopolymer_fraction (unitless)
Cell_type (unitless)
... (7 more variables)


[Fe-Labeling Expt: E.coli and phage T4 or T5] - Iron concentrations of phage from experiments of iron-labelled E. coli infected with T4 and T5 bacteriophage, 2018 and 2019. (EAGER: Iron-Virus Interactions in the Ocean)

This data was collected as part of a study investigating the source of iron to bacteriophage (phage for short, or viruses that infect and kill bacteria) progeny. Evidence from a phage that infects E. coli shows iron incorporated into the tail fiber structure. This study aims at identifying whether the source of the iron is environmental or bacterially derived. E. coli bacterial cultures were grown in minimal media spiked with 10 \u00b5M 57FeSO4 then infected with phage T4 or T5. The phages were purified by methods of centrifugation, filtration, density-dependent ultracentrifugation, and dialyzing. The resulting phage fractions were quantified by SYBR epifluorescence microscopy and metal concentrations were measured on an ELEMENT XR ICP-MS.

cdm_data_type = Other
VARIABLES:
date_utc (unitless)
expt_round (unitless)
sample (unitless)
description (unitless)
Fe_56_nM (Fe 56 N M, nanoMolar)
Fe_57_nM (Fe 57 N M, nanoMolar)
volume (liters)
Fe_56_nmol (nanomoles)
Fe_57_nmol (nanomoles)
Cu_63_nmol (nanomoles)
Zn_66_nmol (nanomoles)
Ni_60_nmol (nanomoles)
Pb_208_nmol (nanomoles)
bact_cells_ml (cells/milliliter)
phage_VPL_ml (virus-like particles/milliliter)
Fe_57_atoms_per_phage (atoms)
notes_expt (unitless)


[Fear behavior with predators: Nucella] - Behavioral data of Nucella lamellosa in the presence of predators within laboratory mesocosms at Bodega Marine Lab in 2018 (Trophic consequences of ocean acidification: Intertidal sea star predators and their grazer prey)

To examine the intensity of anti-predatory behavior of both Tegula funebralis and Nucella lamellosa, we measured the proportion of time individual snails spend above the waterline in the presence and absence of their predator species, Pisaster ochraceus and Cancer productus. Data from this experiment are used to calculate estimated predation rates for snails that do not behaviorally respond to their predators, which are used to determine the impact anti-predatory responses have on the strength of trophic cascades. The experiment was conducted within laboratory mesocosms at Bodega Marine Lab in 2018 and 2019.

This dataset reports results from mesocosms in this experiment with Nucella lamellosa in the presence of predator cues. See "Related Datasets" section for results from other mesocosms and experiments to be published in Ng & Gaylord (2025, in-prep).

cdm_data_type = Other
VARIABLES:
Day (days)
Date_local (unitless)
Time_local (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
Sump (unitless)
Container (unitless)
Container_past (unitless)
Indiv (unitless)
Induced (unitless)
Pisaster (unitless)
Pisaster_size (millimeters (mm))
Behavior (unitless)
Behavior_num (unitless)


[Fear behavior with predators: Tegula in the presence of Cancer crab cues] - Behavioral data of Tegula funebralis in the presence of predator Cancer productus within laboratory mesocosms at Bodega Marine Lab in 2018 (Trophic consequences of ocean acidification: Intertidal sea star predators and their grazer prey)

To examine the intensity of anti-predatory behavior of both Tegula funebralis and Nucella lamellosa, we measured the proportion of time individual snails spend above the waterline in the presence and absence of their predator species, Pisaster ochraceus and Cancer productus. Data from this experiment are used to calculate estimated predation rates for snails that do not behaviorally respond to their predators, which are used to determine the impact anti-predatory responses have on the strength of trophic cascades. The experiment was conducted within laboratory mesocosms at Bodega Marine Lab in 2018 and 2019.

This dataset reports results from mesocosms in this experiment with Tegula funebralis in the presence of predator Cancer productus. See "Related Datasets" section for results from other mesocosms and experiments to be published in Ng & Gaylord (2025, in-prep).

cdm_data_type = Other
VARIABLES:
Day (days)
Date_local (unitless)
Time_local (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
Seatable (unitless)
Container (unitless)
Crab (unitless)
C_size (millimeters (mm))
Sex (unitless)
Out (unitless)
In (unitless)


[Fear behavior with predators: Tegula in the presence of Pisaster cues] - Behavioral data of Tegula funebralis in the presence of predator Pisaster ochraceus within laboratory mesocosms at Bodega Marine Lab in 2018 (Trophic consequences of ocean acidification: Intertidal sea star predators and their grazer prey)

To examine the intensity of anti-predatory behavior of both Tegula funebralis and Nucella lamellosa, we measured the proportion of time individual snails spend above the waterline in the presence and absence of their predator species, Pisaster ochraceus and Cancer productus. Data from this experiment are used to calculate estimated predation rates for snails that do not behaviorally respond to their predators, which are used to determine the impact anti-predatory responses have on the strength of trophic cascades. The experiment was conducted within laboratory mesocosms at Bodega Marine Lab in 2018 and 2019.

This dataset reports results from mesocosms in this experiment with Tegula funebralis in the presence of predator Pisaster ochraceus. See "Related Datasets" section for results from other mesocosms and experiments to be published in Ng & Gaylord (2025, in-prep).

cdm_data_type = Other
VARIABLES:
Observation (unitless)
Date_local (unitless)
Time_local (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
Day (days)
Containers (unitless)
Pisaster (unitless)
Out (unitless)
In (unitless)


[Fear behavior with predators: tethered Nucella lamellosa in the presence of predator Pisaster ochraceus] - Predation data of tethered Nucella lamellosa in the presence of predator Pisaster ochraceus within laboratory mesocosms at Bodega Marine Lab in 2019 (Trophic consequences of ocean acidification: Intertidal sea star predators and their grazer prey)

To examine the impacts of fear removal on the strength of trophic cascades, we measured predation rates on tethered and untethered Nucella lamellosa in the presence of Pisaster ochraceus. Data from these experiments were used to estimate predation rates on Nucella that did not display behavioral fear response. Similar predation trials were conducted with morphologically induced Nucella to estimate the effect of morphological defenses on predation rates. The experiment was conducted within laboratory mesocosms at Bodega Marine Lab in 2019.

cdm_data_type = Other
VARIABLES:
Day (days)
Date_local (unitless)
Time_local (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
Sump (unitless)
Container (unitless)
Container_past (unitless)
Indiv (unitless)
Induced (unitless)
Tethered (unitless)
Pisaster_size (millimeters (mm))
Individual (units)
Length (millimeters (mm))
Height (millimeters (mm))
Retraction (millimeters (mm))
Weight (grams (g))
Survival (unitless)
Eating (unitless)


[Fear behavior with predators: tethered Tegula funebralis in the presence of predator Cancer productus] - Predation data of tethered Tegula funebralis in the presence of predator Cancer productus within laboratory mesocosms at Bodega Marine Lab in 2018 (Trophic consequences of ocean acidification: Intertidal sea star predators and their grazer prey)

To examine the impacts of fear removal on the strength of trophic cascades, we measured predation rates on tethered and untethered Tegula funebralis in the presence of Pisaster ochraceus and Cancer productus. Data from these experiments were used to estimate predation rates on Tegula that did not display a behavioral fear response. Additionally, we used two predator species of differing attack rates to examine how predator identity might influence the loss of fear in a trophic cascade. The experiment was conducted within laboratory mesocosms at Bodega Marine Lab in 2018.

This dataset reports the results for experiments with Cancer productus as the predator. See related dataset https://www.bco-dmo.org/node/959441 for results with predator Pisaster ochraceus.

cdm_data_type = Other
VARIABLES:
Date_local (unitless)
Day (days)
Time_local (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
Table (unitless)
Size (millimeters (mm))
Tethered (unitless)
Sex (unitless)
Containers (unitless)
Alive (unitless)
Alive_C (unitless)
Prop (unitless)


[Fear behavior with predators: tethered Tegula funebralis in the presence of predator Pisaster ochraceus] - Predation data of tethered Tegula funebralis in the presence of predator Pisaster ochraceus within laboratory mesocosms at Bodega Marine Lab in 2018 (Trophic consequences of ocean acidification: Intertidal sea star predators and their grazer prey)

To examine the impacts of fear removal on the strength of trophic cascades, we measured predation rates on tethered and untethered Tegula funebralis in the presence of Pisaster ochraceus and Cancer productus. Data from these experiments were used to estimate predation rates on Tegula that did not display a behavioral fear response. Additionally, we used two predator species of differing attack rates to examine how predator identity might influence the loss of fear in a trophic cascade. The experiment was conducted within laboratory mesocosms at Bodega Marine Lab in 2018.

This dataset reports the results for experiments with Pisaster ochraceus as the predator. See related dataset https://www.bco-dmo.org/node/959435 for results with predator Cancer productus.

cdm_data_type = Other
VARIABLES:
Date_local (unitless)
Time_local (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
Observation (unitless)
Containers (unitless)
Tethered (unitless)
Snails_not_freed (unitless)
Total_number_of_snails (unitless)
Snails_Alive (unitless)
Cumu_snails_eaten (unitless)
Teth_snails_alive (unitless)
Snails_currently_being_consumed (unitless)
Snails_Eaten (unitless)
Seatable (unitless)
Pisaster (millimeters (mm))


[Feeding Trials] - Feeding trials: Effects of diversity in feeding trials, conducted at Bodgea Marine Laboratory, using detritus from eelgrass (Zostera marina) genotypes (clones) as a food source and either one or a combination of invertebrate grazers (Connecting genetic diversity to ecosystem functioning: links between genetic diversity, relatedness and trait variation in a seagrass community)

Seagrass meadows are among the world's most productive ecosystems, and as in many other systems, genetic diversity is correlated with increased production. However, only a small fraction of seagrass production is directly consumed, and instead much of the secondary production is fueled by the detrital food web. Here, we study how plant genotype influences detrital consumption. We used three common mesograzers\u2014an amphipod, Ampithoe lacertosa, an isopod, Idotea resecata, and a polychaete, Platynereis bicanaliculata. Each grazer consumed eelgrass detritus at rates greater than live eelgrass or macroalgae. This detrital consumption, however, was not spread evenly over leaves shed from different eelgrass clones. Palatability and consumption varied because of genotype specific differences in leaf texture, secondary metabolites (phenolics), and nutritional quality (nitrogen). Further, detritus derived from some eelgrass genotypes was palatable to all grazers, while detritus from other genotypes was preferentially consumed by only one grazer species. These data are illustrated in figures 2 and 3 of Reynolds et al., 2017 (DOI:10.1111/oik.04471).

cdm_data_type = Other
VARIABLES:
Genotype (unitless)
Nitrogen_pcnt (percent (%))
Carbon_pcnt (percent (%))
Tear_g (grams (g))
Penetrate_g (grams (g))
Phenolic_pcnt (percent (%))
Isopod_feeding_rate_mg_day (milligrams per day (mg/day))
Amphipod_feeding_rate_mg_day (milligrams per day (mg/day))
Polychaete_feeding_rate_mg_day (milligrams per day (mg/day))


[FeOA Incubation trace metals and pH] - Dissolved trace metal concentrations, nickel speciation, and pH in shipboard incubations conducted on FeOA project cruise SKQ202209S on the R/V Sikuliaq between June 4 2022 to July 1 2022 in the NE Pacific. (Collaborative Research: The Effect of Ocean Acidification on Fe Availability to Phytoplankton in Coastal and Oceanic Waters of the Eastern North Pacific)

This dataset includes the concentrations of total dissolved trace metals (manganese, iron, added iron-57, nickel, copper, zinc), of labile dissolved nickel, and pH measured in samples collected from phytoplankton shipboard incubation experiments conducted on the FeOA cruise SKQ202209S on R/V Sikuliaq in the NE Pacific from June to July 2022.
This project investigates the effects of ocean acidification on the associations between iron and organic ligands in seawater and on iron bioavailability to marine phytoplankton communities. The project used a combination of shipboard incubation experiments and depth profiles to characterize iron speciation and cycling across coastal upwelling, oligotrophic open ocean, and iron-limited subarctic oceanographic regimes in the NE Pacific. Surface seawater was incubated at pH of 8.1, 7.6, and 7.1 with natural iron and with dissolved iron amendments in order to investigate interactions between pH and iron bioavailability across the different regimes. Understanding how pH influences iron and its relationship with ligands provides important information for assessing the impacts of ocean acidification on primary production and biogeochemical processes.

cdm_data_type = Other
VARIABLES:
FeOA_NBR (unitless)
EVTNBR (unitless)
DATE_SHIP (unitless)
TIMESTART_SHIP (unitless)
TIMESTOP_SHIP (unitless)
latitude (degrees_north)
longitude (degrees_east)
PLATFORM (unitless)
STNNBR (unitless)
INCNBR (unitless)
INCDAY (unitless)
INCTREATMENT (unitless)
BTLNBR_INC (unitless)
INCLABEL (unitless)
pH (unitless)
... (23 more variables)


[FeOA Profile Data] - Depth profile chlorophyll, macronutrient, trace metal, metal speciation, and carbon system data from FeOA project cruise SKQ202209S on the R/V Sikuliaq in the Northeast Pacific between June and July 2022 (Collaborative Research: The Effect of Ocean Acidification on Fe Availability to Phytoplankton in Coastal and Oceanic Waters of the Eastern North Pacific)

This dataset includes the concentrations of dissolved inorganic macronutrients (phosphate, nitrate plus nitrite (N+N), silicic acid, and nitrite), chlorophyll a and phaeophytin, dissolved trace metals (iron, manganese, nickel, zinc, copper), and labile dissolved nickel, as well as pH and total alkalinity measurements, from discrete depth profile samples collected on the FeOA cruise SKQ202209S on R/V Sikuliaq in the Northeast Pacific from June to July 2022.

This project investigates the effects of ocean acidification on the associations between iron and organic ligands in seawater and on iron bioavailability to marine phytoplankton communities. The project used a combination of shipboard incubation experiments and depth profiles to characterize iron speciation and cycling across coastal upwelling, oligotrophic open ocean, and iron-limited subarctic oceanographic regimes in the NE Pacific. Surface seawater was incubated at pH of 8.1, 7.6, and 7.1 with natural iron and with dissolved iron amendments in order to investigate interactions between pH and iron bioavailability across the different regimes. Understanding how pH influences iron and its relationship with ligands provides important information for assessing the impacts of ocean acidification on primary production and biogeochemical processes.

cdm_data_type = Other
VARIABLES:
CRUISE_ID (unitless)
EVTNBR (unitless)
DATE_SHIP (unitless)
TIME_IN_SHIP (unitless)
TIME_OUT_SHIP (unitless)
time (In_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
OUT_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
PLATFORM (unitless)
CASTNBR (unitless)
STNNBR (unitless)
BTLNBR (unitless)
... (50 more variables)


[Ferrozine assay data] - Oxygen consumption rates/zero valen iron dissolution of FeOB (Ferrozine assay) with Kanamycin addition (Collaborative Research: The Role of Iron-oxidizing Bacteria in the Sedimentary Iron Cycle: Ecological, Physiological and Biogeochemical Implications)

Oxygen consumption rates/zero valen iron dissolution of FeOB (Ferrozine assay) with Kanamycin addition

cdm_data_type = Other
VARIABLES:
vial (unitless)
date (unitless)
treatment (unitless)
time_elapsed (hours)
Fe_II_concentration (mM)
standard_deviation (mM)


[Fertilization success in Porites lobata gamete age assays] - Fertilization success rates from gamete age assays using eggs and sperm from Porites lobata corals in April-May 2023 (Collaborative Research: How do selection, plasticity, and dispersal interact to determine coral success in warmer and more variable environments?)

This dataset includes fertilization success rates from gamete age assays using eggs and sperm from Porites lobata corals in April-May 2023. Porites lobata colonies were collected from study sites in the Rock Islands Southern Lagoon in the Republic of Palau. Colonies were isolated in individual plastic containers at the Palau International Coral Reef Center. Sperm from selected male colonies were pooled in a single container, and eggs were gently poured into this pool, allowing fertilization to commence. Fertilization success was evaluated visually 2-3 hours after fertilization began by observing a sub-sample of the eggs from each cross under a dissecting microscope and counting whole (undivided) eggs and dividing embryos.

cdm_data_type = Other
VARIABLES:
Cross (unitless)
Age (minutes)
Replicate (unitless)
Fert_rate (unitless)


[FHLOO] - Seawater data (2018-2024) recorded from the Friday Harbor Laboratories Ocean Observatory (FHLOO) (FSML: Instrumentation at UW Friday Harbor Laboratories for Studies of the Biological Impacts of Ocean Acidification and Ocean Change)

The FHL Ocean Observatory (FHLOO) is a multi-sensor surface array in the San Juan Islands archipelago in the Salish Sea. Conditions in the Salish Sea region are subject to oceanic influences from the Northeast Pacific Ocean combined with freshwater input from the Pacific Northwest. This dynamic region is particularly vulnerable to ocean acidification events driven by elevated carbon dioxide concentration associated with ocean upwelling and is already experiencing pH ranges that other areas will not see for many decades. Data produced by this project may be of interest to chemical and biological oceanographers, and climate scientists interested in the role of biogeochemistry in the global/regional climate system. This dataset includes pH, pCO2, temperature, salinity, and dissolved oxygen data recorded from 2018-2024.

cdm_data_type = Other
VARIABLES:
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
ISO_DateTime_Local (unitless)
Dox (micromoles O2 per kilogram (umol O2 kg-1))
OxSat (unitless (percent))
Sea_Temp_Oxygen (degrees Celsius)
pCO2 (microatmospheres (uatm))
Sea_Temp_pCO2 (degrees Celsius)
Sea_pH (seawater pH units (total hydrogen scale))
Sea_Temp_pH (degrees Celsius)
Sea_Temp_SBE (degrees Celsius)
Sal (psu)
latitude (degrees_north)
longitude (degrees_east)


[Field collections: all data] - Nutrient concentrations, microbiology (Vibrio abundance), trace metals, and environmental conditions from collection sites in the Florida Keys National Marine Sanctuary, 2014-2016 (Vibrio as a model microbe for opportunistic heterotrophic response to Saharan dust deposition events in marine waters)

Nutrient concentrations, microbiology (Vibrio abundance), trace metals, and environmental conditions from collection sites in the Florida Keys National Marine Sanctuary, 2014-2016.

cdm_data_type = Other
VARIABLES:
sample (unitless)
date (year-month-day)
time_start_local (hours:minutes)
depth (m)
location (unitless)
station_notes (unitless)
latitude (degrees_north)
longitude (degrees_east)
temp (Temperature, degrees Celsius)
sal (Practical Salinity Units (PSU))
pH (Sea Water Ph Reported On Total Scale, unitless; pH scale)
Vibrio (colony forming units/milliliter (CFU/ml))
Chl_a (Concentration Of Chlorophyll In Sea Water, micrograms/liter (ug/ml))
DOC (micromoles/liter (ug/ml))
TDN (micromoles/liter (ug/ml))
DON (micromoles/liter (ug/ml))
NH4 (Mole Concentration Of Ammonium In Sea Water, micromoles/liter (ug/ml))
NO3 (micromoles/liter (ug/ml))
NO2 (Mole Concentration Of Nitrite In Sea Water, micromoles/liter (ug/ml))
Orthophosphate (micromoles/liter (ug/ml))
SiO4 (Si O4, micromoles/liter (ug/ml))
dFe (D Fe, nanomoles/liter (ug/ml))


[Field domoic acid and copepods] - Domoic acid assimilation in copepods by consuming organic polymers and Pseudo-nitzschia from experiments conducted using water samples collected in northern Gulf of Mexico in 2017 and 2018. (The biotic and abiotic controls on the Silicon cycle in the northern Gulf of Mexico)

Domoic acid assimilation in copepods by consuming organic polymers and Pseudo-nitzschia. Results from experiments designed to investigate the contribution of organic polymers and Pseudo-nitzschia to domoic acid trophic transfer.  Water samples were collected in the northern Gulf of Mexico in 2017 and 2018.

cdm_data_type = Other
VARIABLES:
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Date (unitless)
time2 (Time, unitless)
Experiment (unitless)
Treatment (unitless)
Replicate_bottle (unitless)
dDA_conc (D DA Conc, micrograms (µg) per liter (L))
pDAa_conc (P DAa Conc, nanograms (ng) per liter (L))
Cell_tox (picograms (pg) per cell)
Pnitz_density (cells per liter)
DA_cop_indiv (picograms (pg) per copepod)


[Field measurements of periostracum cover from focal population] - Field measurements of periostracum cover of mussels (Mytilus californianus) from focal population at Marshall Gulch Beach, CA in July and August 2022 (Invertebrate calcification and behavior in seawater of decoupled carbonate chemistry)

These data build off of experimental incubations described in Dataset 1 and 2. To contextualize laboratory incubations, we measured periostracum cover of live California mussels from multiple microhabitats (relative tidal height and degree of sun exposure) in our focal sample population. This dataset represents periostracum cover measurements of California Mussels, Mytilus californianus, conducted at Marshall Gulch Beach, CA in July and August 2022.

Dataset 1: Lab incubations of mussels (Mytilus californianus) examining the influence of periostracum cover and pH on external shell dissolution at Marshall Gulch Beach, CA from August 2021 to March 2022 (see BCO-DMO related dataset)

Dataset 2: Lab incubations of mussels (Mytilus californianus) examining the influence of periostracum cover and pH on external shell dissolution at Marshall Gulch Beach, CA from August 2021 to March 2022 (see BCO-DMO related dataset)

cdm_data_type = Other
VARIABLES:
ID (unitless)
species (unitless)
latitude (degrees_north)
longitude (degrees_east)
date_start (unitless)
date_end (unitless)
light (unitless)
height (unitless)
peri_percent (percentage (%))
shell_L_avg (milimeter (mm))
shell_A_avg (milimeters squared (mm^2))


[Field observations] - Field observations from long-term monitoring sites in St. John, USVI. (The ecophysiological basis of the response of coral larvae and early life history stages to global climate change)

Field observations from long-term monitoring sites in St. John, USVI.

cdm_data_type = Other
VARIABLES:
Site (unitless)
Pocillopora_colonies (count)
Pocillopora_Pocillopora_interactions (count)
Pocillopora_conspecific_interactions (count)
Acropora_colonies (count)
Acropora_Pocillopora_interactions (count)
Acropora_interspecific_interactions (count)
Pocillopora_interspecific_interactions (count)


[Field Sampling: BLAMM HPLC data] - HPLC data from field sampling sites in the Neuse River Estuary, Pamlico Sound, and Onslow Bay in the coastal North Atlantic, offshore from North Carolina, USA, in 2021 and 2022 (Collaborative Research: Vitamin B1 Limitation and Advantageous Use of B1-related Compounds by Marine Bacterioplankton)

This dataset contains high performance liquid chromatography (HPLC) data from field sampling sites in the coastal North Atlantic, offshore from North Carolina, USA, during 2021 and 2022.

Study description:
This study collected physical, chemical, and biological parameters measured from field sampling locations within the Neuse River Estuary the Neuse River Estuary (NRE180), Pamlico Sound (PS), and Onslow Bay (OB1). Measurements were made from near-surface waters (0.5m). See "Related Datasets" section for data from coordinated sampling efforts. Vitamin B1 amendment bottle experiments were conducted using the sample surface water, as well as collections for metagenomes and transcriptomes. Water was collected by N. Curtis and A. Zhou with the assistance of the UNC-IMS MODMON staff.

cdm_data_type = Other
VARIABLES:
Station (unitless)
Trip_Code (unitless)
Site (unitless)
latitude (degrees_north)
longitude (degrees_east)
Date (unitless)
Chlide_a (micrograms per liter (ug/L))
Chl_c1c2 (micrograms per liter (ug/L))
Perid (micrograms per liter (ug/L))
Perid_flag (unitless)
But_fuco (micrograms per liter (ug/L))
But_fuco_flag (unitless)
Fuco (micrograms per liter (ug/L))
Hex_fuco (micrograms per liter (ug/L))
Hex_fuco_flag (unitless)
Neo (micrograms per liter (ug/L))
Viola (micrograms per liter (ug/L))
... (22 more variables)


[Field Sampling: Hydrologic data] - Hydrologic data from field sampling sites in the Neuse River Estuary, Pamlico Sound, and Onslow Bay in the coastal North Atlantic offshore from North Carolina (USA) in 2021 and 2022 (Collaborative Research: Vitamin B1 Limitation and Advantageous Use of B1-related Compounds by Marine Bacterioplankton)

This dataset contains hydrologic data from field sampling sites in the coastal North Atlantic, offshore from North Carolina, USA, during 2021 and 2022.

Study description:
This study collected physical, chemical, and biological parameters measured from field sampling locations within the Neuse River Estuary the Neuse River Estuary (NRE180), Pamlico Sound (PS), and Onslow Bay (OB1). Measurements were made from near-surface waters (0.5m). See "Related Datasets" section for data from coordinated sampling efforts. Vitamin B1 amendment bottle experiments were conducted using the sample surface water, as well as collections for metagenomes and transcriptomes. Water was collected by N. Curtis and A. Zhou with the assistance of the UNC-IMS MODMON staff.

cdm_data_type = Other
VARIABLES:
Station (unitless)
Trip_Code (unitless)
Site (unitless)
latitude (degrees_north)
longitude (degrees_east)
Date (unitless)
YSI_Time (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
YSI_Depth (m)
YSI_Temp (degrees Celsius)
YSI_SpecCond (milliSiemens per centimeter (mS/cm))
YSI_Salinity (parts per thousand (ppt))
YSI_Dosat (percent (%))
YSI_DO (milligrams per liter (mg/L))
YSI_pH (unitless)
YSI_Turbidity (Nephelometric Turbidity Unit (NTU))
Correct_Chla_IV (micrograms per liter (ug/L))
... (20 more variables)