[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)


[Field survey coral microbiome composition] - Accession numbers for 16S rRNA genes from microbial communities from four stony coral species collected across sites in Bahia Almirante, Panama in summer of 2021 (Collaborative Research: Biodiversity and resilience of corals and their microbiomes in response to ocean deoxygenation)

This dataset includes accession numbers and related information for 16S rRNA genes from microbial communities from four stony coral species in Bahia Almirante, Panama. Coral microbiomes were sampled by SCUBA divers in summer 2021 from 5 sites at both shallow (3 meters) and deep (10 to 13 meters) depths. These sites span a roughly east-west range representing a gradient of conditions within the bay where western sites are further from the mouth of the bay and eastern sites are closer to the mouth of the bay. Coral species include Agaricia tenuifolia, Montastraea cavernosa, Siderastrea siderea, and Stephenocoenia intersepta. Sequence data is available in NCBI Genbank under BioProject accession PRJNA939210.

cdm_data_type = Other
VARIABLES:
SRA_accession (unitless)
sample_name (unitless)
bioproject_accession (unitless)
organism (unitless)
collection_date (unitless)
env_broad_scale (unitless)
env_local_scale (unitless)
env_medium (unitless)
geo_loc_name (unitless)
host (unitless)
depth (m)
latitude (degrees_north)
longitude (degrees_east)


[FieldData_FidalgoBay_July2017] - Water quality data and Olympia oyster abundance counts from depth-specific sampling collected by boat in Fidalgo Bay, WA, during July 2017 (RUI: Will climate change cause 'lazy larvae'? Effects of climate stressors on larval behavior and dispersal)

This dataset reports water quality data and Olympia oyster abundance counts from depth-specific sampling collected by boat in Fidalgo Bay, WA, during July 2017. These data were published in the following Masters Thesis: McIntyre, Brooke A., \Vertical Distribution of Olympia oyster (Ostrea lurida) larvae in Fidalgo Bay, WA\ (2018). WWU Graduate School Collection. 694. https://cedar.wwu.edu/wwuet/694

cdm_data_type = Other
VARIABLES:
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
date_local (unitless)
time_local (unitless)
tide_category (unitless)
profile (unitless)
depth_seafloor_m (Depth, meters)
depth_sample_m (Depth, meters)
depth_cat (Depth, unitless)
current_velocity_m_s (meters per second)
chla_ug_L (Concentration Of Chlorophyll In Sea Water, micrograms per liter seawater)
temp_c (degrees Celcius)
salinity (Sea Water Practical Salinity, PSU)
wind_anemometer_m_s (meters per second)
oyster_larvae_100L (Oyster Larvae 100 L, larvae per 100-Liters seawater)
oyster_larvae_m3 (larvae per cubic meter)


[filter tracer content] - Content of nitrogen and carbon in tracer filters from Cape Flattery, WA from 2010-2011 (Regenerated Nitrogen project) (The Role of Regenerated Nitrogen for Rocky Shore Productivity)

We evaluated the role of mussels by adding 15N-labeled NH4+ to an assemblage
of tidepools where they were either present at natural abundance levels, or
absent through manual removal. \u00a0The role of phototrophs was separately
examined by conducting these experiments both during the day and at night.
\u00a0The tidal height of pools varied between 1.2 to 1.5 m above Mean Lower
Low Water (MLLW). Tidepools were thus isolated from each other as well as the
nearshore environment during the low tide period when experiments were
conducted. Each experiment included 4 to 5 mussel removal (MR) tidepools
(since 2002) and 4 to 5 mussel control (MC) tidepools with natural mussel
densities. \u00a0In June 2010, we performed daytime NH4+ tracer experiments
and in August 2010 nighttime experiments using the same tidepools. The
following year (July 2011) these experiments were repeated with the addition
of bottle incubations (see below) to evaluate the effects of suspended
tidepool components and extended sampling for 6 days after the initial 15N
addition to test for long-term retention of NH4+. \u00a0During the 2011
experiments, unforeseen rain reduced the salinity in some pools by up to 51%,
and we have attempted to correct for the expected dilution of NH4+ in our
tidepool rate calculations.

Because isotope enrichment levels were relatively low, we used the
conventional delta notation instead of atom% to describe variations in 15N
enrichment (where delta-15NH4+ = {(15N:14N sample \u00f7 15N:14N standard)
-1}\u00d71000\u2030, where the standard is atmospheric N2. \u00a0Tracer
labeled ammonium chloride (15NH4Cl) was added to the pools to approximate a
1000\u2030 enrichment in 2010 (doubling the 15N-NH4+ concentration) and a
2000\u2030 enrichment in 2011(tripling the 15N-NH4+ concentration). 15N
natural abundance is only 0.365% and these tracer additions thus had a
negligible effect on the overall NH4+ concentrations increasing them by only
~0.4% and ~0.8%, respectively. Tidepool volumes were estimated
spectrophotometrically using varying concentrations of food dye (Pfister
1995). Together with estimates of NH4+ concentration (from 2009 data), we
estimated the tracer addition required to achieve the targeted 15N
enrichments. However, the actual initial enrichments varied substantially,
684.4 - 2406.4\u2030 in 2010 and 781.4 - 3880.2\u2030 in 2011, likely due to
error in tidepool volume estimation and natural variations in initial NH4+
concentrations. Fortunately, we sampled immediately following each tracer
addition allowing for the determination of the true initial 15N enrichment.
\u00a0

Prior to tracer addition at ebb tide, 100 mL of tidepool water was syringe-
filtered (Whatman GF/F) into separate HDPE bottles for natural abundance
15NH4+ and concentration determination. \u00a0To each pool, tracer 15NH4+ was
then added and distributed by stirring with a stick. Water samples were
immediately collected for measuring initial 15N enrichment and subsequently at
2, 4, and 6 hour intervals to determine isotope and concentration time
courses. All water samples were frozen until analysis. Tidepool oxygen, pH,
and temperature (Hach HQ4D) were also collected at ~ 2 h intervals throughout
the experiment.

In 2011 we also assessed the contribution of the suspended microbial community
to NH4+ cycling by enclosing tidepool water in a 250 mL transparent
polycarbonate incubation bottle. Following tracer addition, the bottle was
filled, then left to float in the tidepool for the duration of the experiment.
Samples from bottles were filtered as described both immediately after
containment and at the end of the experiment (~6 h later).

We assessed macroalgal contribution to NH4+ removal by transplanting two
tidepool-dwelling algae species. \u00a0Prionitis sternbergii were sampled 2
weeks prior to the experiment for baseline natural abundance 15N values and
transplanted into the pools with Z-Spar Epoxy (Pfister 2007). On the day of
the experiment, the red-alga, Corallina vancouveriensis from a single source
patch, was also sampled for 15N natural abundance, inserted into pieces of
Styrofoam, and floated in each pool.

At the end of each experiment (~6 h sampling point), we sampled tidepool
particulate organic material (POM) by filtering through combusted GF/F filters
until they clogged (~ 600 mL), comparing these samples with POM similarly
sampled from the immediate nearshore. \u00a0Floating Corallina spp. samples
were collected into clean Eppendorf tubes, and similar sized pieces of
Prionitis spp. were collected from each pool into clean foil packets.\u00a0
 We evaluated the extent of longer-term 15N tracer retention in 2011 by
sampling tidepool water, POM and transplanted Prionitis 1, 3, and 6 days
following tracer addition. We sampled at ebb tide and at again at slack water
just prior to high tide on the first day after tracer addition (that is, 24 h
later) and at slack water prior to high tide on Day 3 and 6.\u00a0

Relevant References:

2014\. Pather, S., C. A. Pfister, M. Altabet, D. M. Post. Ammonium cycling in
the rocky intertidal: remineralization, removal and retention. Limnology and
Oceanography
59:361-372.\u00a0[http://aslo.org/lo/toc/vol_59/issue_2/0361.htm](\\http://aslo.org/lo/toc/vol_59/issue_2/0361.html\\)

DOI for this dataset:\u00a0The role of regenerated nitrogen for rocky shore
productivity, Cape Flattery, Washington, 2010 &
2011.\u00a0Handle:\u00a0[http://hdl.handle.net/1912/6420](\\http://hdl.handle.net/1912/6420\\).\u00a0DOI:10.1575/1912/6420

Related Datasets:
[ammonium removal by seaweeds](\\https://www.bco-dmo.org/dataset/489420\\)
[natural abundance N and C filter content](\\http://www.bco-
dmo.org/dataset/489310\\)
[tidepool ammonium and mussels](\\https://www.bco-dmo.org/dataset/488860\\)
[tidepool incubation ammonium](\\https://www.bco-dmo.org/dataset/489085\\)

cdm_data_type = Other
VARIABLES:
site (unitless)
... (12 more variables)


[Final spores] - Pterosiphonia bipinnata and Corallina vancouveriensis final experiment shear and percent remaining at Deadman Bay on San Juan Island, Washington (Effects of Ocean Acidification on Coastal Organisms: An Ecomaterials Perspective)

Pterosiphonia bipinnata and Corallina vancouveriensis final experiment shear and percent remaining at Deadman Bay on San Juan Island, Washington

cdm_data_type = Other
VARIABLES:
Treatment (unitless)
Shear (Pascals (Pa))
PercentRemaining (Percent Remaining, unitless)
Species (unitless)
latitude (degrees_north)
longitude (degrees_east)
location (unitless)


[Fire coral - mean density] - Mean density of coral and the percentage of encrusting coral on long-term sampling sites in St. John, USVI. (LTREB Long-term coral reef community dynamics in St. John, USVI: 1987-2019)

Mean density of coral and the percentage of encrusting coral on long-term sampling sites in St. John, USVI.

cdm_data_type = Other
VARIABLES:
Taxon (unitless)
Year (unitless)
Panel (unitless)
All_Mean (meter squared)
All_SE (meter squared)
Encrusted_Mean (meter squared)
Encrusted_SE (meter squared)
Total (count)
Encrusted (count)
Percent (percent)


[Fish collection locations] - Collection locations, dates, and weight and length measurements of individuals of three fish species from the Matagorda Bay region of Texas in the northwestern Gulf of Mexico from 2021 to 2023 (Collaborative Research: Shifting the Hypoxia Paradigm – New Directions to Explore the Spread and Impacts of Ocean/Great Lakes Deoxygenation)

This dataset describes the collection locations of individuals of three fish species (Red Drum Sciaenops ocellatus, Southern Flounder Paralichthys lethostigma, and Atlantic Croaker Micropogonias undulatus) in the Matagorda Bay region of Texas in the northwestern Gulf of Mexico. Fish carcasses were obtained from anglers at boat docks, fish cleaning stations, or other locations in the region. Fish were also obtained from bait shops where the proprietors verified the fish were sourced from the Matagorda Bay study region. These fish will be dissected to subsample muscle tissue, eye lenses, and otoliths for chemical analysis to reconstruct environmental histories (trace element proxies for hypoxia, salinity, and other parameters), mercury concentrations, and stable isotopes to reconstruct food web interactions.

cdm_data_type = Other
VARIABLES:
FishID (unitless)
Station_Name (unitless)
latitude (Station_latitude, degrees_north)
longitude (Station_longitude, degrees_east)
Date_Collected (unitless)
Species (unitless)
Weight_g (grams (g))
Length_mm (millimeters (mm))


[Fish count data] - Fish count data from the Caroline Islands and the Federal States of Micronesia collected from 2012-2014. (The impact of a large episodic disturbance on an invasive (outbreak) coral: Will Typhoon Maysak promote or suppress an invasive Montipora sp. Coral on reefs of Ulithi Atoll, Federated States of Micronesia?)

Fish count data from the Caroline Islands and the Federal States of Micronesia collected from 2012-2014.

cdm_data_type = Other
VARIABLES:
species (unitless)
site (unitless)
date (unitless)
time2 (Time, unitless)
transect (unitless)
transect_width (meters)
type (unitless)
morph (unitless)
phase (unitless)
size (mm)
count (count)


[Fish Data] - Fish data from fish and seagrass surveys on clusters of artificial reefs at the Abaco Islands, Bahamas in 2022 (Using novel ecosystem-scale experiments to quantify drivers of reef productivity in a heavily impacted coastal ecosystem)

Fish data from fish and seagrass surveys on clusters of artificial reefs at the Abaco Islands, Bahamas in May of 2022. Data are presented for site PN, which was constructed in May 2021 at the Bight of Old Robinson, Great Abaco. At the site three clusters of nine reefs were constructed. Each cluster was separated by at least 150 m and were constructed at ~3 m depth.

cdm_data_type = Other
VARIABLES:
Observer (unitless)
Date (unitless)
time_local (Time, unitless)
Assembly_day (unitless)
Cluster (unitless)
cluster_lat (degrees_north)
longitude (Cluster_lon, degrees_east)
Reef (unitless)
Species (unitless)
Count (unitless)
Total_length (centimeters (cm))
Transient (unitless)
Floy_tag (unitless)
Floy_color (unitless)
Floy_size (unitless)
Floy_date (unitless)
Floy_ID (unitless)
Notes (unitless)


[Fish Flight Initiation Distance Data] - Fish Flight Initiation Distance Data During the COVID 19 Lockdown from 2020-2021 (Galapagos diver disturbance project) (RAPID: Illuminating the effects of a COVID-19 elimination of diver disturbance on reef fish behavior, distribution and ecosystem functioning in the Galapagos Marine Reserve)

The effect of changing levels of scuba diver disturbance, from a low during the 2020 COVID 19 lockdown to normal levels a year later (2021) was measured to test the hypothesis that fish would be less wary when during the lockdown. The Flight Initiation Distance (FID) data, reported here in meters indicate how close a diver can approach an individual fish before it swims away (flees). 2,151 measurements of FID are reported here for a diverse array of reef fish and shark species at sites in the central Galapagos Islands. These data were collected by Dr.s Robert Lamb and Franz Smith in collaboration with PI Jon Witman.

cdm_data_type = Other
VARIABLES:
Observation_ID (unitless)
Site (unitless)
Date (unitless)
Species_Name (unitless)
Total_Body_Length (centimeters (cm))
Distance_diver_was_from_start_point (meters (m))
Distance_to_fish_at_start_of_flight (meters (m))
Flight_Initiation_Distance (meters (m))


[Fish IDs and measurements] - Sex, length, and mass of adult M. beryllina collected in Suisun Bay, California from 2012-2013. (Impacts of size-selective mortality on sex-changing fishes)

Sex, length, and mass of adult M. beryllina collected in Suisun Bay, California from 2012-2013.

cdm_data_type = Other
VARIABLES:
sex (unitless)
tag (unitless)
id (unitless)
ripe (unitless)
note (unitless)
SL (millimeters)
mass (grams)
gonad_mass (grams)


[Fish observations] - Fish observations corresponding to one fish or a group of conspecific fish taken in Point Lobos, California between 1997 and 2007. (Impacts of size-selective mortality on sex-changing fishes)

Fish observations corresponding to one fish or a group of conspecific fish taken in Point Lobos, California between 1997 and 2007.

cdm_data_type = Other
VARIABLES:
year (unitless)
month (unitless)
day (unitless)
site (unitless)
campus (unitless)
method (unitless)
side (unitless)
zone (unitless)
level (unitless)
transect (unitless)
classcode (unitless)
count (count)
fish_tl (millimeters)
min_tl (millimeters)
max_tl (millimeters)
observer (unitless)
depth_ (Depth, meters)
vis (meters)
temp (Temperature, degrees Celsius)
surge (unitless)
windwave (unitless)
ptccnpy (percent)


[Fish roadside surveys 2014-2015] - Weekly survey of fish sold by the roadside in Moorea, French Polynesia in 2014 and 2015 (Coral reef fishery project) (Adaptive Capacity, Resilience, and Coral Reef State Shifts in Social-ecological Systems)

Weekly survey of fish sold by the roadside in Moorea, French Polynesia in 2014 and 2015 (Coral reef fishery project)

cdm_data_type = Other
VARIABLES:
location_caught (unitless)
location_sold (unitless)
genus (unitless)
species (unitless)
survey_event (unitless)
date (unitless)
length (centimeters)
habitat_caught (unitless)
gear_1 (unitless)
gear_2 (unitless)
gear_3 (unitless)
boat_type (unitless)
motor (unitless)
crew (unitless)
departure_time (unitless)
hours_fishing (hours)
is_seller_the_fisher (unitless)
gender (unitless)
average_fishing_days_per_week (days)


[fish species counts] - Fish species counts in 3, 20x40 m transects, Panama, 1980-2010 (EPac Corals projects I-VII) (Ecological Effects of the 1982/83 El Nino-Associated Disturbance to Eastern Pacific Coral Reefs)

This dataset present fish species counts in three 20x40 m transects. The surveys were conducted at the Uva Island coral reef (7o48\u201946\u201dN, 81o45\u201935\u201dW), Gulf of Chiriqu\u00ed, Panama from 1980 to 2010 during both the wet and dry seasons.

cdm_data_type = Other
VARIABLES:
year (unitless)
transect (integer)
latitude (degrees_north)
longitude (degrees_east)
lat_outer (Latitude, decimal degrees)
lon_outer (decimal degrees)
day (DD)
month (MM)
season (unitless)
time_start (HHmm)
time_end (HHmm)
species_code (unitless)
species (unitless)
count (integer)


[Fish species survey] - Fish species survey from the Bahamas from 2009-2012. (Mechanisms and Consequences of Fish Biodiversity Loss on Atlantic Coral Reefs Caused by Invasive Pacific Lionfish)

Fish species survey from the Bahamas from 2009-2012.

cdm_data_type = Other
VARIABLES:
year (unitless)
family (unitless)
site (unitless)
site_treatment (unitless)
time2 (Time, unitless)
site_pair (unitless)
sample_type (unitless)
subsample_ID (unitless)
species (unitless)
size_1 (count)
size_2 (count)
size_3 (count)
size_4 (count)
size_5 (count)
size_6 (count)
size_15 (count)
size_20 (count)
size_25 (count)
size_30 (count)
size_35 (count)
size_40 (count)
size_45 (count)
size_50 (count)
size_100 (count)
size_150 (count)
size_200 (count)
size_250 (count)


[fish_abund] - Fish abundance data from MOC-10 trawls from the ARSV Laurence M. Gould, RVIB Nathaniel B. Palmer LMG0104, NBP0104, LMG0203, NBP0204 from the Southern Ocean, 2001-2002 (SOGLOBEC project) (U.S. GLOBEC Southern Ocean)

Fish abundance data from MOC-10 trawls from the ARSV Laurence M. Gould, RVIB Nathaniel B. Palmer LMG0104, NBP0104, LMG0203, NBP0204 from the Southern Ocean, 2001-2002 (SOGLOBEC project)

cdm_data_type = Other
VARIABLES:
cruiseid
year (unitless)
station
tow
yrday_gmt
month_gmt
day_gmt
time_start (HHmm)
latitude (degrees_north)
longitude (degrees_east)
depth_w (Depth, meters)
net
depth_range (Depth, meters)
depth_open (Depth, meters)
depth (m)
vol_filt (meters3)
family
species
date_gmt (unitless)
time_local (unitless)
count
abund_integ (#/m2)
biomass (grams 104m-3)
biomass_integ (grams/m2)


[fisheggs] - Fish eggs collected in Bongo nets from R/V Albatross IV, R/V Endeavor, and R/V Oceanus during U.S. GLOBEC broadscale cruises in the Gulf of Maine and Georges Bank from 1995-1999 (GB project) (U.S. GLOBEC Georges Bank)

Fish eggs collected in Bongo nets from R/V Albatross IV, R/V Endeavor, and R/V Oceanus during U.S. GLOBEC broadscale cruises in the Gulf of Maine and Georges Bank from 1995-1999

cdm_data_type = Other
VARIABLES:
cruiseid
year
inst
tow
station
station_std
latitude (degrees_north)
longitude (degrees_east)
month_local
day_local
time_local (hours/minutes)
depth_w (Depth, meters)
depth (m)
net
haul_factor_std
taxon
num_caught
num_st1
num_st2
num_st3
num_st4
num_st5
num_st6
num_st7
num_st8
num_st9


[fishlarvaeB] - Georges Bank Fish Larvae Data collected in Bongo Nets from R/V Albatross IV, R/V Endeavor, and R/V Oceanus during U.S. GLOBEC broadscale cruises in the Gulf of Maine and Georges Bank from 1995-1999 (GB project) (U.S. GLOBEC Georges Bank)

Georges Bank Fish Larvae Data collected in Bongo Nets from R/V Albatross IV, R/V Endeavor, and R/V Oceanus during U.S. GLOBEC broadscale cruises in the Gulf of Maine and Georges Bank from 1995-1999

cdm_data_type = Other
VARIABLES:
cruiseid
year
inst
tow
station_std
latitude (degrees_north)
longitude (degrees_east)
month_local
day_local
time_local (hours/minutes)
depth_tow_max (Depth, meters)
net
haul_factor_std
taxon
num_caught (number of fish caught)
num_measure
fish_len (millimeters)
num_fish_len


[fishlarvaeM] - Georges Bank Fish larvae collected in MOCNESS tows from R/V Albatross IV, R/V Endeavor, and R/V Oceanus broadscale cruises in the Gulf of Maine and Georges Bank from 1995-1999 (GB project) (U.S. GLOBEC Georges Bank)

Georges Bank Fish larvae collected in MOCNESS tows from R/V Albatross IV, R/V Endeavor, and R/V Oceanus broadscale cruises in the Gulf of Maine and Georges Bank from 1995-1999

cdm_data_type = Other
VARIABLES:
cruiseid
year
inst
tow
station_std
latitude (degrees_north)
longitude (degrees_east)
month_local
day_local
time_local (HHmm)
net
vol_filt (cubicmeters)
depth_open (Depth, meters)
depth (m)
haul_factor_std
taxon
num_caught
num_measure
fish_len (millimeters)
num_fish_len


[FL Stegastes Partitus Otolith Summary Data] - Summary of otolith microstructure data from Stegastes partitus collected by SCUBA dives in the Upper Florida Keys, USA from 2003-2008 (FK Fish Recruitment project, FK Population Connectivity project) (Scope and Consequences of Variability in the Early Life History Traits of a Caribbean Coral Reef Fish)

Summary of data from analyses of otoliths from Stegastes partitus collected from the Florida Keys.

cdm_data_type = Other
VARIABLES:
stage (text)
date_collected (unitless)
collection (integer)
site_name (text)
site_code (text)
latitude (degrees_north)
longitude (Site Lon, degrees_east)
sample (integer)
std_length (millimeters (mm))
monthly_cohort (mon-yr)
site_descrip (text)
collect_catch_or_density (numeric)
pel_larv_dur (number of days)
juv_age (days)
date_hatched (unitless)
date_spawn (unitless)
lunar_day_spawn (integer)
lunar_phase_spawn (ordinal)
date_settled (unitless)
lunar_day_settled (integer)
lunar_phase_settled (ordinal)
tidal_day_settled (?)
larval_radius (micrometers (um))
settle_radius (micrometers (um))
otolith_radius (micrometers (um))
larval_growth_avg (micrometers (um))
juv_growth_avg (micrometers (um))
... (6 more variables)


[FLA_lagoon_hydro] - Daily average temperature, salinity, conductivity, O2 collected by YSI sensors in Florida lagoons along the East coast of Florida from Fort Matanzas to St. Lucie County in 2008-2009 (Patterns of Larval Dispersal and Postsettlement Selection Shaping Connectivity of Oyster Populations Along an Ecotone)

Daily average temperature, salinity, conductivity, O2 collected by YSI sensors in Florida lagoons along the East coast of Florida from Fort Matanzas to St. Lucie County in 2008-2009. Data include temperature, salinity, dissolved oxygen, pH, and depth at 15 minute intervals.

cdm_data_type = Other
VARIABLES:
year (dimensionless)
site_id (dimensionless)
site_descrip (dimensionless)
latitude (degrees_north)
longitude (degrees_east)
date (dimensionless)
month_local (dimensionless)
day_local (dimensionless)
temp_max (degrees C)
temp_min (degrees C)
temp_avg (degrees C)
temp_stdev (degrees C)
temp_sterr (degrees C)
cond_mS_max (Cond M S Max, mS/cm)
cond_mS_min (Cond M S Min, mS/cm)
cond_mS_avg (Cond M S Avg, mS/cm)
cond_mS_stdev (Cond M S Stdev, mS/cm)
cond_mS_sterr (Cond M S Sterr, mS/cm)
sal_max (ppt)
sal_min (ppt)
sal_avg (ppt)
sal_stdev (ppt)
sal_sterr (ppt)
O2_max (%)
O2_min (%)
... (9 more variables)


[Florida Bay DIN, DOC, and Chl-a 2017-2018] -  (RAPID: Hurricane Irma Impacts on Nitrogen Cycling in Florida Bay)

These data are tabular results of investigations focused on temporal changes in dissolved inorganic nitrogen (DIN) over a 15-month period starting in October 2017, following the passage of Hurricane Irma over the Middle Keys, Florida, United States. Post-Irma time-series measurements focused on determination of the impacts of episodic storm events on temporal variability in DIN.

Three areas in Florida Bay north of the Middle Keys were chosen for sampling based on previous work conducted between 2012 and 2015 by colleagues at the University of North Carolina (UNC) and FWC-M. Together, the study sites are representative of the range of nearshore environments along the southern portion of Florida Bay. Monthly whole water samples were filtered for chlorophyll-a (Chl-a) measurements, then analyzed for nitrate/nitrite (NOx-) and ammonium (NH4+). Drastic, systematic changes in all water quality parameters initially occurred, including spiked DIN concentrations following release of NH4+-enriched pore-waters during sediment resuspension and rapid declines in DIN during phytoplankton blooms. However, four months post-Irma, concentrations returned to seasonally variable pre-Irma levels observed in previous multi-year surveys.

cdm_data_type = Other
VARIABLES:
Date (unitless)
Station (unitless)
latitude (degrees_north)
longitude (degrees_east)
NOx_avg (micromolar (uM))
NOx_sd (micromolar (uM))
NH4_avg (micromolar (uM))
NH4_sd (micromolar (uM))
DIN_avg (micromolar (uM))
DIN_sd (micromolar (uM))
DOC_avg (micromolar (uM))
DOC_sd (micromolar (uM))
TN_avg (micromolar (uM))
TN_sd (micromolar (uM))
Chla_avg (micrograms per liter (ug/L))
Chla_sd (micrograms per liter (ug/L))


[Florida Keys benthic oxygen flux] - Benthic oxygen fluxes and associated environmental data collected in the Florida Keys from 2016 to 2018 (Collaborative Research: Robust optode-based eddy correlation systems for oxygen flux measurements in aquatic environments)

A new triple-sensor aquatic eddy covariance instrument was deployed at ~10 meters water depth in the Florida Keys, USA to quantify seasonal oxygen fluxes over a coral sand platform. The non-invasive measurements revealed the influences of light and bottom currents on magnitude and dynamics of the benthic metabolism.

cdm_data_type = Other
VARIABLES:
Date (unitless)
time_unitless (Time, unitless)
ISO_DateTime_Local (unitless)
latitude (Site_latitude, degrees_north)
longitude (Site_longitude, degrees_east)
depth (Site_depth, m)
O2_Flux (millimoles per square meter per day (mmol m-2 d-1))
O2_Flux_SD (millimoles per square meter per day (mmol m-2 d-1))
PAR (micromoles photons per square meter per second (umol photons m-2 s-1))
Current_velocity (meters per second (m s-1))
Significant_wave_height (meters (m))
T_Ref_1 (degrees Celsius)
T_Ref_2 (degrees Celsius)
O2_Ref_1 (micromoles per liter (umol l-1))
O2_Ref_2 (micromoles per liter (umol l-1))


[Florida Keys coral growth] - Annual growth chronologies of Siderastrea siderea and Pseudodiploria strigosa on the Florida Keys Reef Tract, 2015-2016 (Investigating the influence of thermal history on coral growth response to recent and predicted end-of-century ocean warming across a cascade of ecological scales)

This dataset includes annual measurements of extension, density, and calcification for 39 Siderastrea siderea cores and 31 Pseudodiploria strigosa cores from inner and outer reef sites spanning ~200 km of the Florida Keys Reef Tract.

cdm_data_type = Other
VARIABLES:
species (unitless)
reefZone (Reef Zone, unitless)
transect (unitless)
site (unitless)
coreID (Core ID, unitless)
latitude (degrees_north)
longitude (degrees_east)
year (unitless)
linext (centimeters/year (cm/yr))
density (grams/centimeter^3 (g/cm3))
calc (grams/centimeter^2/year (g/cm2/yr))


[Florida Straights 2015 MOC1 Larval Fish Counts] - Counts of larval fishes collected by a 1m2 Multiple Opening Closing Net and Environmental Sampling System (MOCNESS; MOC1) in a subtropical, pelagic environment from R/V F.G. Walton Smith cruise WS15161 in June 2015 (Spatial variability of larval fish in relation to their prey and predator fields: Patterns and interactions from cm to 10s of km in a subtropical, pelagic environment)

Counts of larval fishes collected by a 1m2 Multiple Opening Closing Net and Environmental Sampling System (MOCNESS; MOC1) in a subtropical, pelagic environment from R/V F.G. Walton Smith cruise WS15161 in June 2015.

cdm_data_type = Other
VARIABLES:
cruise_name (unitless)
cruise_id (unitless)
study (unitless)
station (unitless)
tow_type (unitless)
net (unitless)
date (unitless)
time_open (unitless)
time_closed (unitless)
depth_open (Depth, meters (m))
depth_close (Depth, meters (m))
tow_vol (cubic meters (m^3))
larval_fish_count (unitless)
latitude (degrees_north)
longitude (degrees_east)
lat_end (Latitude, decimal degrees)
lon_end (Longitude, decimal degrees)
time (ISO Date Time Start UTC, seconds since 1970-01-01T00:00:00Z)


[Flow Cytometry Results] - Results of the quantification of symbiont cell numbers from 400 Acropora hyacinthus colonies subjected to experimental bleaching in the summer of 2018 in Palau. (Predicting the global location of heat tolerant corals: Palau patch reefs as a general model)

Results of the quantification of symbiont cell numbers from 400 Acropora hyacinthus colonies subjected to experimental bleaching in the summer of 2018 in Palau.

cdm_data_type = Other
VARIABLES:
Sample (dimensionless)
Treatment (unitless)
Temperature (degrees Celsius)
Sample_ID (dimensionless)
ALLEVENTS_Conc (cells/ml)
SYMBIODINIUM_Conc (cells/ml)
Number_of_Events (unitless)
Cell_Count (cells/ul)
Total_Volume (microliters)
Acquisition_Time (seconds)
Negative_Total_Count (various)
Negative_Events (cells/ml)
Negative_Sym_Conc (various)
Negative_Cells (cell/ul)
Negative_Total_Vol (microliters)
Negative_Acquisition_Time (seconds)


[flow cytometry] - Direct counts (flow cytometry) on microbes obtained by Niskin bottle and pressure-retaining sampler from the Leggo Lander on R/V Falkor cruise FK141215 in the Challenger Deep, Mariana Trench in December 2014 (Patterns of Microbial Community Structure Within and Between Hadal Environments)

Direct counts (flow cytometry) on the microbes obtained in the Leggo drop 1 Niskin bottle and the Leg drop 1 pressure-retaining sampler.

cdm_data_type = Other
VARIABLES:
drop_name (unitless)
cells_per_mL (Cells Per M L, cells/mL)
time (ISO Date Time Deploy, seconds since 1970-01-01T00:00:00Z)
ISO_DateTime_recover (ISO Date Time Recover, unitless)
latitude (degrees_north)
longitude (degrees_east)


[fluor_PAM] - Pulse Amplitude Modulation (PAM) fluorometry readings from microcosm experiments from samples collected by R/V E.O. Wilson in the Gulf of Mexico, Alabama (En-Gen DMSP Cycling project) (En-Gen: A Functional Genomics Approach to Organic Sulfur Cycling in the Ocean)

Fv:Fm ratios from control and experimental microcosms from the Dauphin Island Cubitainer Experiment (DICE) measured using a Pulse Amplitude Modulation (PAM) fluorometer.

cdm_data_type = Other
VARIABLES:
exp_id (text)
latitude (degrees_north)
longitude (degrees_east)
site_desc (text)
exp_day (unitless)
month (mm (01 to 12))
day (dd (01 to 31))
year (unitless)
microcosm (unitless)
microcosm_type (text)
Fv_to_Fm_mean (dimensionless)
Fv_to_Fm_sd (dimensionless)
comments (text)
Fv_to_Fm (dimensionless)


[Foraminifera counts] - Absolute abundance of Foraminifera in Pacific Panama, 2019 (Collaborative Research: Climate Change, Mesoscale Oceanography, and the Dynamics of Eastern Pacific Coral Reefs)

Absolute abundance of Foraminifera in Pacific Panama, 2019.

cdm_data_type = Other
VARIABLES:
Gulf (unitless)
Location (unitless)
Site (unitless)
Year (unitless)
Weight_of_Sediment (grams (g))
Quinqueloculina (unitless)
Spiroloculina (unitless)
RosaDiscorbis (Rosa Discorbis, unitless)
Peneroplis (unitless)
Neoconorbina (unitless)
Sorites (unitless)
Uvigerina (unitless)
Bolivina (unitless)
Elphidium (unitless)
Cymbaloporetta (unitless)
Nonioinella (unitless)
Hayesina (unitless)
Borelis (unitless)
Pseudohauerina (unitless)
Amphistegina (unitless)
Marginopora (unitless)
Triloculina (unitless)
Reusella (unitless)
Articulina (unitless)
Planorbulina (unitless)
Miliolinella (unitless)
Textularia (unitless)
Total (unitless)


[Fourier transform infrared spectroscopy data] - Photodegradation of macroplastics in the marine environment: fourier transform infrared spectroscopy (EAGER: Collaborative Research: NSF2026:  Is Plastic Degradation Occurring in the Deep Ocean Water Column?)

The photodegradation of macroplastics in the marine environment remains poorly understood. Here, we investigated the weathering of commercially available plastics (tabs 1.3 × 4.4 × 0.16 cm), including high-density polyethylene, low-density polyethylene, polypropylene, polystyrene, and polycarbonate, in seawater under laboratory-simulated ultraviolet A radiation for 3–9 months, equivalent to 25–75 years of natural sunlight exposure without considering other confounding factors. After the exposure, the physical integrity and thermal stability of the tabs remained relatively intact, suggesting that the bulk polymer chains were not severely altered despite strong irradiation, likely due to their low specific surface area. In contrast, the surface layer (∼1 μm) of the tabs was highly oxidized and eroded after 9 months of accelerated weathering. Several antioxidant additives were identified in the plastics through low temperature pyrolysis coupled with gas chromatography/mass spectrometry (Pyr-GC/MS) analysis. The Pyr-GC/MS results also revealed many new oxygen-containing compounds formed during photodegradation, and these compounds indicated the dominance of chain scission reactions during weathering. These findings highlight the strong resistance of industrial macroplastics to weathering, emphasizing the need for a broader range of plastics with varying properties and sizes to accurately estimate plastic degradation in the marine environment.

cdm_data_type = Other
VARIABLES:
Polymer_name (unitless)
Polymer_acronym (unitless)
Incubation_time (unitless)
Unit_of_incubation_time (unitless)
Replicate (unitless)
vinyl_index (unitless)
ketone_index (unitless)
ether_index (unitless)
alcohol_index (unitless)
Oxidation_index (unitless)


[Friday Harbor Labs - Weather Station Data] - Weather Station data from University of Washington Friday Harbor Laboratories, Friday Harbor WA, Cantilever Point from 2006 to 2024 (The effects of temperature on ecological processes in a rocky intertidal community: a mechanistic approach )

This dataset includes parameters measured by a weather station at the University of Washington Friday Harbor Laboratories, Friday Harbor WA, Cantilever Point from 2006 to 2024.

cdm_data_type = Other
VARIABLES:
Platform_ID (unitless)
latitude (degrees_north)
longitude (degrees_east)
Year (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
ISO_DateTime_PST (unitless)
Date_PST (unitless)
Time_PST (unitless)
Air_Temp (degrees Celsius)
RH (percent (%))
Rad_PAR (micromoles per square meter per second (?mol m-2 s-1))
Rad_Energy (watts per square meter (W m-2))
Rad_tot (watts per square meter (W m-2))
Rain (millimeters (mm))
Wind_speed (meters per second (m s-1))
Wind_direction (degrees (relative to true N))
Wind_Chill (degrees Celsius)


[GA01 - Dissolved Pb] - Dissolved lead data collected from the R/V Pourquoi pas (GEOVIDE) in the North Atlantic, Labrador Sea (section GA01) during 2014 (Filling Gaps in the Atlantic and Pacific Pb and Pb Isotope Spatial and Temporal Evolution)

Dissolved lead data collected from the R/V Pourquoi pas (GEOVIDE) in the North Atlantic, Labrador Sea (section GA01) during 2014

cdm_data_type = Other
VARIABLES:
cruise_id (unitless)
SECT_ID (unitless)
STNNBR (unitless)
BTL_DATE (unitless)
latitude (BTL LAT, degrees_north)
longitude (BTL LON, degrees_east)
BTLNBR (unitless)
CTDPRS (decibars)
SAMPNO (unitless)
PI_SAMPNO (unitless)
Pb_D_CONC_BOTTLE (picomoles per kilogram)
Pb_D_CONC_BOTTLE_SD (picomoles per kilogram)
NBR_OF_SAMPLES (unitless)
Pb_D_CONC_BOTTLE_FLAG (unitless)
CASTNO (unitless)


[GA01 - Pb Isotopes] - Lead isotope data collected from the R/V Pourquoi pas (GEOVIDE) in the North Atlantic, Labrador Sea (section GA01) during 2014 (Filling Gaps in the Atlantic and Pacific Pb and Pb Isotope Spatial and Temporal Evolution)

Lead isotope data collected from the R/V Pourquoi pas (GEOVIDE) in the North Atlantic, Labrador Sea (section GA01) during 2014

cdm_data_type = Other
VARIABLES:
cruise_id (unitless)
SECT_ID (unitless)
STNNBR (unitless)
BTL_DATE (unitless)
latitude (BTL LAT, degrees_north)
longitude (BTL LON, degrees_east)
BTLNBR (unitless)
CTDPRS (decibars)
SAMPNO (unitless)
PI_SAMPNO (unitless)
Pb_206_207_D_RATIO_BOTTLE (dimensionless)
Pb_208_207_D_RATIO_BOTTLE (dimensionless)
Pb_206_204_D_RATIO_BOTTLE (dimensionless)
Pb_206_207_D_RATIO_BOTTLE_FLAG (unitless)
Pb_208_207_D_RATIO_BOTTLE_FLAG (unitless)
Pb_206_204_D_RATIO_BOTTLE_FLAG (unitless)
CASTNO (unitless)


[Gastropod counts by species collected from inactive sulfides on the East Pacific Rise] - Gastropod counts by species collected from inactive sulfides on the East Pacific Rise during R/V Robert Revelle cruise RR2102 in April 2021 and R/V Atlantis cruise AT50-06 in December 2022 (RUI: Collaborative: The Predictive Nature of Microbial Biofilms for Cuing Larval Settlement at Deep-Sea Hydrothermal Vents)

This dataset provides counts by species for gastropods collected mainly from rock grabs at two inactive sulfide mounds (Lucky's Mound and Sentry Spire) near 9°47'N on the East Pacific Rise. Sampling was conducted on dives with HOV Alvin during R/V Atlantis cruise AT50-06 in December 2022 and with ROV Jason during R/V Robert Revelle cruise RR2102 in April 2021. Specimens were preserved in ethanol or fixed in formalin. Gastropods were identified morphologically to species (with genetic sequences obtained for a subset); two of the species were new to science as described by Chen et al. (2024). Counts are not comprehensive thus cannot be used for quantitative analyses. This dataset is provided in a single compiled table formatted as a Darwin Core Occurrence table for provision to the Ocean Biodiversity Information System.

cdm_data_type = Other
VARIABLES:
occurrenceID (unitless)
kingdom (unitless)
verbatimIdentification (unitless)
scientificName (unitless)
scientificNameID (unitless)
taxonRank (unitless)
identifiedBy (unitless)
identificationRemarks (unitless)
individualCount (integer count)
associatedSequences (unitless)
otherCatalogNumbers (unitless)
occurrenceStatus (unitless)
basisOfRecord (unitless)
verbatimLabel (unitless)
occurrenceRemarks (unitless)
eventID (unitless)
time (Eventdate, seconds since 1970-01-01T00:00:00Z)
locality (unitless)
latitude (Decimallatitude, degrees_north)
... (7 more variables)


[Gelatinous zooplankton observations] - Gelatinous zooplankton observations during four research cruises (SKQ202204S, MGL2207, SKQ202303S, SR2317) carried out in the Northern California Current from March 2022 to August 2023 (Collaborative Research: Plankton size spectra and trophic links in a dynamic ocean)

These data include a list of gelatinous zooplankton species observed during four 14-day research cruises carried out in the Northern California Current from March 2022 to August 2023.  Plankton samples were collected with a coupled MOCNESS system that was towed to 100 m (or 5 m off the bottom in stations with <100 m depth).  Samples were subsequently poured into sorting tray and picked for gelatinous taxa.  This data set represents the first comprehensive list of gelatinous taxa from this region and includes ctenophores, cnidarians and pelagic tunicates, taxa that are largely omitted from studies in the NCC.

cdm_data_type = Other
VARIABLES:
Date (unitless)
Broad_taxon_ID (unitless)
Lowest_taxon_ID (unitless)
Life_stage (unitless)
Number_of_Individuals (unitless)
Length (millimeter (mm))
Volume (milliliter(ml))
Transect (unitless)
Station (unitless)
Latitude (degrees_north)
longitude (degrees_east)
MOC (unitless)
Net (unitless)
Depth (meter (m))


[Geltrap micrographs] - Images of particles collected in sediment traps for quantitative analysis from multiple platforms from 2016-2017 (Collaborative Research: EAGER: Particle-specific DNA sequencing to directly observe ecological mechanisms of the biological pump)

Images of particles collected in sediment traps for quantitative analysis from multiple platforms from 2016-2017

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
Trap_Platform (unitless)
Additional_Trap_Label (unitless)
Depth (meters)
Deployment_Duration_days (days)
latitude (degrees_north)
longitude (degrees_east)
Deploy_Date_UTC (unitless)
Deploy_Time_UTC (unitless)
Recover_Latitude (Latitude, decimal degrees)
Recover_Longitude (Longitude, decimal degrees)
Recover_Date_UTC (unitless)
Recover_Time_UTC (unitless)
time (Deploy Date Time, seconds since 1970-01-01T00:00:00Z)
recover_date_time (unitless)


[Gene copies] - Number of gene markers identified in sediment in samples from Little Lagoon, Alabama collected from 2012-2013. (Groundwater Discharge, Benthic Coupling and Microalgal Community Structure in a Shallow Coastal Lagoon)

Number of gene markers identified in sediment in samples from Little Lagoon, Alabama collected from 2012-2013.

cdm_data_type = Other
VARIABLES:
Year (unitless)
Date (unitless)
Value_Description (unitless)
Mouth (g-1 sediment)
Mouth_SE (g-1 sediment)
East (g-1 sediment)
East_SE (g-1 sediment)
West (g-1 sediment)
West_SE (g-1 sediment)


[Gene expression of Pocillopora damicornis] - Gene expression of Pocillopora damicornis collected from reef of Heron Island, southern Great Barrier Reef from Jan 2021 to Feb 2021 (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress)

Corals residing in habitats that experience frequent seawater pCO2 variability may possess an enhanced capacity to cope with ocean acidification. Yet, we lack a clear understanding of the molecular toolkit enabling acclimatization to environmental extremes, and how life-long exposure to pCO2 variability influences biomineralization.

We examined the gene expression responses and micro-skeletal characteristics of Pocillopora damicornis originating from the reef flat and reef slope of Heron Island, southern Great Barrier Reef. The reef flat (454 ± 3.0) and reef slope (418 ± 1.9) had similar mean seawater pCO2 (µatm; mean ± SE), but the reef flat experienced twice the mean daily pCO2 amplitude (range of 797v. 399  µatm day-1, respectively). A controlled mesocosm experiment was conducted over eight weeks, from mid-January to late-March 2021, exposing P. damicornis from the reef slope and reef flat to stable (218±9) or variable (911±31) diel pCO2 fluctuations (µatm; mean ± SE). This dataset includes the gene expression data for these samples.

cdm_data_type = Other
VARIABLES:
gene_id (unitless)
RF13B (unitless)
RF13D (unitless)
RF14B (unitless)
RF14C (unitless)
RF15B (unitless)
RF15D (unitless)
RF16A (unitless)
RF16C (unitless)
RF17B (unitless)
RF17D (unitless)
RF18B (unitless)
RF18D (unitless)
RF19B (unitless)
RF19C (unitless)
... (34 more variables)


[Geneflow Profile] - Temperature, salinity, water isotope, and inorganic nutrient profiles of sea ice core sections collected offshore near Utqiaġvik, Alaska, USA in May 2017 and 2018. (Understanding How Virus Infection Affects Gene Flow and Microbial Evolution in Extreme Polar Environments)

Sea ice cores were collected at 71.2944\u02daN, 156.7153\u02daW and 71.3729\u02daN, 156.5073\u02daW in May 2017 and at 71.4730\u02daN, 156.7294\u02daW in May 2018. Sea ice cores were drilled with a MARK II ice auger (Kovacs Enterprise). The cores were sectioned immediately after collection with a clean rust-proof, custom alloy bow saw in the field in 5 cm sections and each was collected in sterile Whirlpak\u00ae bags. Core sections were melted at room temperature before volumes were allocated for nutrient, water isotope, and bulk salinity measurements. Analytical measurements were made upon sample return to the University of Washington and to the University of Alaska Fairbanks. Associated temperature profile data were acquired from the nearby UAF Sea Ice Mass Balance site.

cdm_data_type = Other
VARIABLES:
sheet_name (unitless)
location (unitless)
latitude (degrees_north)
longitude (degrees_east)
date (unitless)
Sea_ice_depth (centimeters (cm))
Bulk_salinity (unitless)
UAF_Mass_Balance_Temperature (degrees Celsius (C))
PO4 (Mass Concentration Of Phosphate In Sea Water, microMole (uM))
SiO4 (Si O4, microMole (uM))
NO3 (Mole Concentration Of Nitrate In Sea Water, microMole (uM))
NO2 (Mole Concentration Of Nitrite In Sea Water, microMole (uM))
NH4 (Mole Concentration Of Ammonium In Sea Water, microMole (uM))
d2H (D2 H, parts per thousand (o/oo))
d18O (D18 O, parts per thousand (o/oo))
notes (unitless)


[Geneflow Samples] - Brine samples from both sea ice and cryopeg near Utqiaġvik, Alaska, USA from 2017-05-08 to 2018-05-10 (Understanding How Virus Infection Affects Gene Flow and Microbial Evolution in Extreme Polar Environments)

Brine samples were collected from both sea ice and cryopeg near Utqia\u0121vik, Alaska, USA. Snow and ice thickness along with sackhole core depth information are available for sea ice samples. Bacterial and viral abundances along with temperature, pH, salinity, inorganic nutrients, organic nutrients, EPS, and water isotopes were measured for select samples.

cdm_data_type = Other
VARIABLES:
sheet_name (unitless)
Station (unitless)
latitude (degrees_north)
longitude (degrees_east)
Date (unitless)
Sample_type (unitless)
Snow_thickness (centimeters (cm))
Ice_thickness (centimeters (cm))
Sackhole_Ice_Borehole_depth (centimeters (cm))
Temperature (degrees Celsius (C))
pH (unitless)
Salinity (parts per thousand (ppt))
Bacterial_abundance (cells per milliliter (cells/mL))
VLP_abundance (virus like particle per milliliter (VPL/mL))
PON_ug_N_mL (PON Ug N M L, micrograms of Nitrogen per milliliter (µg N/mL))
POC_ug_C_mL (POC Ug C M L, micrograms of Carbon per milliliter (µg C/mL))
dEPS (D EPS, g glu-eq/mL)
pEPS (P EPS, g glu-eq/mL)
Chl_a (Concentration Of Chlorophyll In Sea Water, milligrams per meter cubed (mg/m3))
Chl_a_Phaeo_ratio (Concentration Of Chlorophyll In Sea Water, unitless)
DOC_uM_C (DOC U M C, micromole Carbon (µM C))
PO4 (Mass Concentration Of Phosphate In Sea Water, micromole (µM))
SiO4 (Si O4, micromole (µM))
NO3 (Mole Concentration Of Nitrate In Sea Water, micromole (µM))
... (7 more variables)


[Genetic analyses and microsatellite characterization of new zooxanthellae species for Butler et al. (2023)] - Genetic analyses and microsatellite characterization for formal recognition of new species of host-generalist species of dinoflagellate (Cladocopium, Symbiodiniaceae) mutualistic with Indo-Pacific reef corals collected from 2003 through 2015 (Collaborative Research: Stability, flexibility, and functionality of thermally tolerant coral symbioses)

These genetic data were used to justify the formal characterization of new species of ‘ecological generalists' zooxanthellae, the dinoflagellate symbionts living in the tissues of numerous marine animals including corals. Reef-building corals are dependent on endosymbiotic dinoflagellates (Family: Symbiodiniaceae) for their survival and growth but there is almost no taxonomy available for coral symbionts thus limiting research on them. These data include the sequences of genes originating from the nuclear genome, the mitochondrial genome as well as from the chloroplast genome. These sequences were analyzed independently and the resulting phylogenies from these analyses used to test for reciprocal monophyly, a way to verify the evolutionary divergence of two populations. Additionally, microsatellites were analyzed to test boundaries to genetic recombination indicated by the phylogenetic data.

cdm_data_type = Other
VARIABLES:
Sample_ID (unitless)
Species (unitless)
Aphia_ID (unitless)
Sample_Origin (unitless)
C1_22 (base pairs)
C1_22_2 (base pairs)
C1_25 (base pairs)
C1_25_2 (base pairs)
C1_24 (base pairs)
C1_24_2 (base pairs)
C1_05 (base pairs)
C1_05_2 (base pairs)
C1_16 (base pairs)
C1_16_2 (base pairs)
Z1_Spl_1 (base pairs)
Z1_Spl_1_2 (base pairs)
z78 (base pairs)
z78_2 (base pairs)


[Geochemistry Summary] - Geochemistry summary data: single cell isotope incorporation of 1H, 2H, 12C14N, 12C15N, 12C12C, 12C13C ions from Chikyu-337 (IODP 337) ( Determination of deep biosphere cell activity and identity utilizing the state of the art low-biomass, single cell techniques developed at JAMSTEC in their class 10,000 clean room)

Single cell isotope incorporation of 1H, 2H, 12C14N, 12C15N. 12C12C, 12C13C ions from samples collected on IODP Expedition 337.

cdm_data_type = Other
VARIABLES:
Order (unitless)
Sample (unitless)
Horizon (unitless)
Condition (unitless)
Autoclaved (unitless)
Amendment (unitless)
cells_per_ml (number/mL)
cells_per_cc_rock (number/(cm^3))
cells_per_g_rock (number/g)
Del_13C_DIC (Del 13 C DIC, per mil)
mM_DIC (M M DIC, milliMolar (mM))


[GI02 dissolved thorium and protactinium isotopes] - Concentrations of dissolved thorium and protactinium isotopes (232Th, 230Th, 231Pa) in seawater collected during the Indian GEOTRACES Transect (SK312; GI02) in April-May 2014 (Collaborative Research: U.S. GEOTRACES Arctic Section: Thorium-230, Thorium-232, and Protactinium-231 tracers of trace element supply and removal.)

This dataset contains concentrations of dissolved thorium and protactinium isotopes (232Th, 230Th, 231Pa) in seawater collected during the Indian GEOTRACES Transect (SK312; GI02; April 27 - May 30, 2014), in the western Indian Ocean, on the ORV Sagar Kanya. Similar data from SK324 (GI05) are available in a separate dataset. These data were generated at the Lamont-Doherty Earth Observatory of Columbia University (LDEO).

cdm_data_type = Other
VARIABLES:
Station_ID (unitless)
Start_Date_UTC (unitless)
Start_Latitude (degrees_north)
longitude (Start_longitude, degrees_east)
depth (Sample_depth, m)
CTDTMP (degrees Celsius)
CTDSAL (PSU)
Th_232_D_CONC_BOTTLE_ty8nwm (picomoles per kilogram (pmol/kg))
SD1_Th_232_D_CONC_BOTTLE_ty8nwm (picomoles per kilogram (pmol/kg))
Flag_Th_232_D_CONC_BOTTLE_ty8nwm (unitless)
Pa_231_D_CONC_BOTTLE_sc2jal (microBecquerel per kilogram (uBq/kg))
SD1_Pa_231_D_CONC_BOTTLE_sc2jal (microBecquerel per kilogram (uBq/kg))
Flag_Pa_231_D_CONC_BOTTLE_sc2jal (unitless)
Th_230_D_CONC_BOTTLE_2a1hmp (microBecquerel per kilogram (uBq/kg))
SD1_Th_230_D_CONC_BOTTLE_2a1hmp (microBecquerel per kilogram (uBq/kg))
Flag_Th_230_D_CONC_BOTTLE_2a1hmp (unitless)


[GI05 dissolved thorium and protactinium isotopes] - Concentrations of dissolved thorium and protactinium isotopes (232Th, 230Th, 231Pa) in seawater collected during the Indian GEOTRACES Transect (SK324; GI05) in September-October 2015 (Collaborative Research: U.S. GEOTRACES Arctic Section: Thorium-230, Thorium-232, and Protactinium-231 tracers of trace element supply and removal.)

This dataset contains concentrations of dissolved thorium and protactinium isotopes (232Th, 230Th, 231Pa) in seawater collected during the Indian GEOTRACES Transect (SK324; GI05; September 22 – October 21, 2015), in the western Indian Ocean, on the ORV Sagar Kanya. Similar data from SK312 (GI02) are available in a separate dataset. These data were generated at the Lamont-Doherty Earth Observatory of Columbia University (LDEO).

cdm_data_type = Other
VARIABLES:
Station_ID (unitless)
Start_Date_UTC (unitless)
Start_Latitude (degrees_north)
longitude (Start_longitude, degrees_east)
depth (Sample_depth, m)
CTDTMP (degrees Celsius)
CTDSAL (PSU)
Pa_231_D_CONC_BOTTLE_fro7kt (microBecquerel per kilogram (uBq/kg))
SD1_Pa_231_D_CONC_BOTTLE_fro7kt (microBecquerel per kilogram (uBq/kg))
Flag_Pa_231_D_CONC_BOTTLE_fro7kt (unitless)
Th_230_D_CONC_BOTTLE_inhsei (microBecquerel per kilogram (uBq/kg))
SD1_Th_230_D_CONC_BOTTLE_inhsei (microBecquerel per kilogram (uBq/kg))
Flag_Th_230_D_CONC_BOTTLE_inhsei (unitless)
Th_232_D_CONC_BOTTLE_h66s3f (picomoles per kilogram (pmol/kg))
SD1_Th_232_D_CONC_BOTTLE_h66s3f (picomoles per kilogram (pmol/kg))
Flag_Th_232_D_CONC_BOTTLE_h66s3f (unitless)


[Global Bleaching and Environmental Data] - Bleaching and environmental data for global coral reef sites from 1980-2020 (Identifying coral reef 'bright spots' from the global 2015-2017 thermal-stress event)

The coral bleaching data were composed of the Reef Check dataset (reefcheck.org), collected by a mixture of professional scientists (56%) and trained and certi\ufb01ed citizen-scientists (44%) using a standardized transect protocol. The dataset includes counts of the number of coral colonies showing bleaching (i.e., the percent of reef corals that were recorded as bleached), which was classi\ufb01ed as site-wide bleaching. We also examined the prevalence of coral bleaching per coral ecoregion (as de\ufb01ned by Veron et al. 2015). We used the global Coral Reef Temperature Anomaly Database (CoRTAD Version 6) from the National Oceanic and Atmospheric Administration (www.nodc.noaa.gov/sog/cortad/) to predict coral bleaching prevalence and intensity across reefs worldwide. All CoRTAD variables were weekly data provided on a grid cell basis, of ~4km resolution, from 1982 to 2017(Sully 2019).

cdm_data_type = Other
VARIABLES:
ID (unitless)
latitude (degrees_north)
longitude (degrees_east)
Ocean (unitless)
Realm (unitless)
Ecoregion (unitless)
Country_Name (unitless)
State_Island_Province (unitless)
City_Town (unitless)
City_Town_2 (unitless)
City_Town_3 (unitless)
Date (unitless)
Date2 (unitless)
depth (m)
Average_Bleaching (percent)
ClimSST (Clim SST, Degrees Celsius)
Temperature_Kelvin (Kelvin)
Temperature_Mean (Degree Celsius)
... (30 more variables)


[Global model nitrate d15N] - Estimated nitrate d15N modeled using an ensemble of artificial neural networks (EANNs) (Collaborative research: Combining models and observations to constrain the marine iron cycle)

We utilize an ensemble of artificial neural networks (EANNs) to interpolate our global ocean nitrate d15N database, producing complete 3D maps of the data. By utilizing an artificial neural network (ANN), a machine learning approach that effectively identifies nonlinear relationships between a target variable (the isotopic dataset) and a set of input features (other available ocean datasets), we can fill holes in our data sampling coverage of nitrate d15N.

cdm_data_type = Other
VARIABLES:
latitude (degrees_north)
longitude (degrees_east)
depth (m)
d15N (D15 N, per mil)
d15N_stdev (D15 N Stdev, per mil)


[Global Noble Gases] - A compilation of dissolved noble gas and N2/Ar ratio measurements collected from 1999-2016 in locations spanning the globe (Carbon Dioxide Dynamics in Mode Water of the North Atlantic Ocean )

Inert gases dissolved in the ocean are powerful tracers of the impact of physical processes on gases, particularly air-sea gas exchange (by both diffusive and bubble-meditated processes), temperature change, atmospheric pressure variation, mixing between different water masses, and ice processes. We have compiled a global ocean database of dissolved neon, argon, and krypton measurements, supplemented by helium, xenon, and nitrogen/argon (N2/Ar) ratios in some locations. Samples were collected on board multiple research cruises spanning the period 1999 through 2016 and analyzed by mass spectrometry at four different shore-based laboratories (University of Victoria, Woods Hole Oceanographic Institution, University of Washington, and Scripps Institution of Oceanography).

cdm_data_type = Other
VARIABLES:
sequence (unitless)
cruise_name (unitless)
latitude (degrees_north)
longitude (degrees_east)
event (unitless)
station (unitless)
cast (unitless)
niskin (unitless)
year (unitless)
month (unitless)
day (unitless)
press (decibars (dbar))
CTDtemp (degrees Celsius)
CTDsal (unitless)
analysis_lab (unitless)
secondary_analysis_lab (unitless)
He_conc (micromoles per kilogram (umol/kg))
He_conc2 (micromoles per kilogram (umol/kg))
Ne_conc (micromoles per kilogram (umol/kg))
... (40 more variables)


[Global observed nitrate d15N] - Compiled dataset consisting of published and unpublished global nitrate d15N measurements from from 1975-2018 (Collaborative research: Combining models and observations to constrain the marine iron cycle)

Nitrate d15N observations were compiled from studies dating from 1975 to 2018. Whenever possible, the data was acquired via the original author, but in other cases the data was estimated from the publication directly. All observations were treated equally, although the failure to remove nitrite when using the \denitrifier method\ may bias the nitrate d15N to low values (Rafter et al., 2013). This version of the dataset (1.0) will be updated as new data are published.

cdm_data_type = Other
VARIABLES:
latitude (degrees_north)
longitude (degrees_east)
depth (m)
nitrate_d15N (Mole Concentration Of Nitrate In Sea Water, per mil)
nitrate (Mole Concentration Of Nitrate In Sea Water, micromoles per kilogram (umol kg-1))
reference (unitless)


[Global Prochlorococcus Synechococcus and picoeukaryotic phytoplankton] - Global observations Prochlorococcus, Synechococcus, and picoeukaryotic phytoplankton with ancillary environmental data from 1987 to 2008 (Convergence: RAISE: Linking the adaptive dynamics of plankton with emergent global ocean biogeochemistry)

Prochlorococcus, Synechococcus, and picoeukaryotic phytoplankton global observations with ancillary environmental data (nitrate, phosphate and temperature)from 1987 to 2008.

cdm_data_type = Other
VARIABLES:
Year (unitless)
Day (unitless)
latitude (degrees_north)
longitude (degrees_east)
Nitrite_Nitrate (Mole Concentration Of Nitrate In Sea Water, Micromoles per Liter (umol/l))
Phosphate (Mass Concentration Of Phosphate In Sea Water, Micromoles per Liter (umol/l))
Temperature (Degrees Celcius (°C))
depth (m)
Prochlorococcus (Cells per milliliter (cells/ml))
Synechococcus (Cells per milliliter (cells/ml))
Pico_eukaryotes (Cells per milliliter (cells/ml))


[global] - Calculated power from the oxidation of necromass that is produced in marine sediment on a global scale. (Develop a 1D biogeochemical-evolutionary model for deep sediments)

Calculated power from the oxidation of necromass that is produced in marine sediment on a global scale.

cdm_data_type = Other
VARIABLES:
Depth_below_SWI (Depth, meters (m))
Sediment_Age (years)
Power_law_cells (cells per centimeter cubed (cells/cm3))
Necromas (cells per centimeter cubed per year (cells/cm3/yr))
Death_rate (per year (yr-1))
Power_cell_size_small (nanoJoules per year (nJ/yr))
Power_cell_size_medium (nanoJoules per year (nJ/yr))
Power_cell_size_large (nanoJoules per year (nJ/yr))
latitude (degrees_north)
longitude (degrees_east)


[Globorotaloides hexagonus trace element ablation profiles] - Globorotaloides hexagonus trace element ablation profiles from samples collected from MOCNESS tows from R/V Sikuliaq cruise SKQ201701S in 2017 (Glacial-Interglacial Changes in Oxygen Minimum Zones Using Deep-Dwelling, Low-Oxygen Planktic Foraminifera)

The planktic foraminifer Globorotaloides hexagonus is found in temperate to tropical oxygen minimum zones (OMZs). Their preferred habitat make G. hexagonus an important species for the development of oxygen-related paleoproxies. Here we report trace-element-to-calcium (TE/Ca) ratios with depth in the shell of G. hexagonus from the Eastern Tropical North Pacific (21 N, 117 W) . Individuals were isolated from a series of Multiple Opening/Closing Net and Environmental Sensing System (MOCNESS) tows on the R/V Sikuliaq  in January and February 2017 and represent a wide range of depth habitats and  oxygen concentrations. Oxygen concentration and depth from MOCNESS are provided in the metadata for each sample. Trace elements (Mg, Mn, Zn, Sr, Ba, Ca) were quantified using laser ablation ICP-MS from the outside to the inside of the shell, allowing for a reconstruction of TE/Ca with depth in the shell. MOCNESS data were collected by Dr. Karen Wishner (URI),  ablation data were collected by Dr. Catherine Davis (NCSU) and Dr. Jennifer Fehrenbacher (OSU), and data were prepared by Dr. Shannon Doherty (NCSU and UAF).

cdm_data_type = Other
VARIABLES:
filename (unitless)
MOCNESS_cast (unitless)
net (unitless)
foram (unitless)
file (unitless)
time_elapsed (Time, seconds)
X24Mg_43Ca (mol per mol)
X25Mg_43Ca (mol per mol)
X55Mn_43Ca (mol per mol)
X66Zn_43Ca (mol per mol)
X88Sr_43Ca (mol per mol)
X138Ba_43Ca (mol per mol)
depth_micron (Depth, micron)
date_time_UTC (unitless)
Lat_in (degrees_north)
longitude (Lat_out, degrees_east)


[GN01 Arctic GEOTRACES Bottle Particles] - Trace element concentrations (labile and total measurements) in particles collected with GO-Flo bottles and analyzed with ICP-MS from the US GEOTRACES Arctic cruise (HLY1502; GN01) from August to October 2015 (U.S. Arctic GEOTRACES Study)

Trace element concentrations in particles collected with GO-Flo bottles and analyzed with ICP-MS. Concentrations of labile and total metal fractions are reported. Samples were collected during the U.S. Arctic GEOTRACES cruise aboard USCGC Healy (GN01; HLY1502) from August to October 2015.

cdm_data_type = Other
VARIABLES:
cruise_id (unitless)
EXPOCODE (unitless)
SECT_ID (unitless)
STNNBR (unitless)
CASTNO (unitless)
GEOTRC_EVENTNO (unitless)
DATE (unitless)
time2 (TIME, unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
SAMPNO (unitless)
BTLNBR (unitless)
BTL_FLAG_ODU (unitless)
CTDPRS (decibars)
depth (CTDDEPTH, m)
Station (unitless)
GEOTRC_SAMPNO (unitless)
Mo_TP_CONC_BOTTLE (pmol/kg)
Mo_TP_CONC_BOTTLE_FLAG (unitless)
Cd_TP_CONC_BOTTLE (pmol/kg)
Cd_TP_CONC_BOTTLE_FLAG (unitless)
Ba_TP_CONC_BOTTLE (pmol/kg)
Ba_TP_CONC_BOTTLE_FLAG (unitless)
Al_TP_CONC_BOTTLE (nmol/kg)
... (57 more variables)


[GN01 CTD - GTC Bottle] - Bottle data from the GEOTRACES Clean Carousel sampling system (GTC) on the Arctic Section cruise (HLY1502) from August to October 2015 (U.S. GEOTRACES Arctic project) (U.S. Arctic GEOTRACES Study)

Bottle data from the GEOTRACES Clean Carousel sampling system (GTC) on the Arctic Section cruise (HLY1502) from August to October 2015.

cdm_data_type = Other
VARIABLES:
cruise_id (unitless)
EXPOCODE (unitless)
SECT_ID (unitless)
STNNBR (unitless)
CASTNO (unitless)
GEOTRC_EVENTNO (unitless)
DATE (unitless)
time2 (TIME, unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
GEOTRC_SAMPNO (unitless)
SAMPNO (unitless)
BTLNBR (unitless)
BTLNBR_FLAG_W (unitless)
CTDPRS (decibars)
depth (CTDDEPTH, m)
CTDTMP (degrees celsius)
CTDSAL (PSS-78)
CTDSAL_FLAG_W (unitless)
SALNTY (PSS-78)
SALNTY_FLAG_W (unitless)
SALTREF (Sea Water Practical Salinity, G/KG)
SALTREF_FLAG_W (unitless)
CTDOXY (UMOL/KG)
CTDOXY_FLAG_W (unitless)
... (31 more variables)


[GN01 CTD - GTC Profiles] - CTD-GTC profiles from GEOTRACES-Arctic Section cruise HLY1502 in 2015 (U.S. GEOTRACES Arctic project) (U.S. Arctic GEOTRACES Study)

CTD-GTC profiles from GEOTRACES-Arctic Section cruise HLY1502 in 2015

cdm_data_type = Other
VARIABLES:
cruise_id (text)
EXPOCODE (text)
SECT_ID (text)
GEOTRC_EVENTNO (dimensionless)
STNNBR (dimensionless)
CASTNO (dimensionless)
DATE (unitless)
time2 (TIME, HHMM)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
BTMDEPTH (meters)
INSTRUMENT_ID (dimensionless)
CTDPRS (DBARS)
CTDPRS_FLAG_W (dimensionless)
CTDTMP (degrees celsius)
CTDTMP_FLAG_W (dimensionless)
CTDSAL (PSS-78)
CTDSAL_FLAG_W (dimensionless)
CTDOXY (UMOL/KG)
CTDOXY_FLAG_W (dimensionless)
TRANSM (volts)
TRANSM_FLAG_W (dimensionless)
FLUORM (volts)
FLUORM_FLAG_W (dimensionless)
DEPTH (meters)
DEPTH_FLAG_W (Depth, unitless)
CTDNOBS (dimensionless)
CTDETIME (SECONDS)