[salmon_hauldata] - Haul data and salmon numbers caught and processed from F/V Great Pacific, R/V Miller Freeman cruises in the Coastal Gulf of Alaska, NE Pacific, 2001-2004 (NEP project) (U.S. GLOBEC Northeast Pacific)

Haul data and salmon numbers caught and processed from F/V Great Pacific, R/V Miller Freeman cruises in the Coastal Gulf of Alaska, NE Pacific, 2001-2004.

cdm_data_type = Other
VARIABLES:
cruiseid (dimensionless)
year (dimensionless)
haul_id (dimensionless)
sta_id (dimensionless)
month_local (dimensionless)
day_local (dimensionless)
yrday_local (dimensionless)
transect (dimensionless)
time_start_local (dimensionless)
latitude (degrees_north)
longitude (degrees_east)
distance_start (nautical miles)
depth_w_start (Depth, meters)
temp_start (degrees Celsius)
time_end_local (dimensionless)
lat_end (Latitude, decimal degrees)
lon_end (Longitude, decimal degrees)
dist_end (nautical miles)
depth_w_end (Depth, meters)
temp_end (degrees Celsius)
speed_kn (knots (nautical miles per hour))
habitat (dimensionless)
bongo_flag (dimensionless)
tucker_flag (dimensionless)
ctd_flag (dimensionless)
sea_state (dimensionless)
... (13 more variables)


[salmon_juv_diet] - Juvenile salmon diet from F/V Great Pacific, R/V Miller Freeman GP0108, GP0207-01, MF0310 in the Coastal Gulf of Alaska, Northeast Pacific from 2001-2003 (NEP project) (U.S. GLOBEC Northeast Pacific)

Juvenile salmon diet from F/V Great Pacific, R/V Miller Freeman GP0108, GP0207-01, MF0310 in the Coastal Gulf of Alaska, Northeast Pacific from 2001-2003.

cdm_data_type = Other
VARIABLES:
year (unitless)
cruiseid (unitless)
haul_id (unitless)
sta_id (unitless)
month_local (unitless)
day_local (unitless)
time_start_local (HHMM)
yrday_local (unitless)
latitude (degrees_north)
longitude (degrees_east)
distance_start (nautical miles)
depth (m)
temp_start (degrees Celsius)
time_end_local (HHMM)
lat_end (Latitude, decimal degrees)
lon_end (Longitude, decimal degrees)
distance_end (unitless)
depth_end (Depth, meters)
temp_end (degrees Celsius)
habitat (unitless)
control_id (unitless)
weight_wet (grams)
sex (M or F)
name_common (unitless)
species (Genus and Species)
pred_stom_wgt (grams)
... (8 more variables)


[salmon_thermal] - Salmon otoliths - hatchery thermal marks from F/V Great Pacific, R/V Miller Freeman multiple cruises in the Coastal Gulf of Alaska, NE Pacific from 2001-2004 (NEP project) (U.S. GLOBEC Northeast Pacific)

Salmon otoliths - hatchery thermal marks from F/V Great Pacific, R/V Miller Freeman multiple cruises in the Coastal Gulf of Alaska, NE Pacific from 2001-2004.

cdm_data_type = Other
VARIABLES:
cruiseid (unitless)
year (unitless)
haul_id (unitless)
sta_id (unitless)
month_local (unitless)
day_local (unitless)
time_start_local (unitless)
yrday_local (unitless)
latitude (degrees_north)
longitude (degrees_east)
distance_start (nautical miles)
depth (m)
temp_start (degrees Celsius)
time_end_local (unitless)
lat_end (Latitude, decimal degrees)
lon_end (Longitude, decimal degrees)
depth_end (Depth, meters)
temp_end (degrees Celsius)
habitat (unitless)
control_id (unitless)
age (unitless)
species (unitless)
hatchery_id (unitless)
hatchery_special_id (unitless)
fwage (years)
brood_year (unitless)
comments_thermal_mark_or_haul_info (unitless)
comments_hatchery (unitless)


[Salp and pteropod associated microorganisms] - Salp and pteropod associated microorganisms from the  Western Edge of the Gulf Stream sampled in September 2019. (Collaborative Research: Comparative feeding by gelatinous grazers on microbial prey)

Microbial mortality impacts the structure of food webs, carbon flow, and the interactions that create dynamic patterns of abundance across gradients in space and time in diverse ecosystems. In the oceans, estimates of microbial mortality by viruses, protists, and small zooplankton do not account fully for observations of loss, suggesting the existence of underappreciated mortality sources. We examined how ubiquitous mucous mesh feeders (i.e. gelatinous zooplankton) could contribute to microbial mortality in the open ocean. We coupled capture of live animals by blue-water diving to sequence-based approaches to measure the enrichment and selectivity of feeding by two coexisting mucous grazer taxa (pteropods and salps) on numerically dominant marine prokaryotes. We show that mucous mesh grazers consume a variety of marine prokaryotes and select between coexisting lineages and similar cell sizes. We show that Prochlorococcus may evade filtration more than other cells and that planktonic archaea are consumed by macrozooplanktonic grazers. Discovery of these feeding relationships identifies a new source of mortality for Earth's dominant marine microbes and alters our understanding of how top-down processes shape microbial community and function.

cdm_data_type = Other
VARIABLES:
bioproject_accession (unitless)
biosample_accession (unitless)
message (unitless)
sample_name (unitless)
sample_title (unitless)
organism (unitless)
collection_date (unitless)
depth_f (Depth, feet)
env_broad_scale (unitless)
env_local_scale (unitless)
env_medium (unitless)
geo_loc_name (unitless)
latitude (Sampling_lat, degrees_north)
longitude (Sampling_lon, degrees_east)
... (15 more variables)


[Salp genome and transcriptome] - Antarctic salp genome and RNAseq transcriptome from ARSV Laurence M. Gould, Umitaka-Maru, R/V Polarstern LMG1110, UM-08-09, ANT-XXVII-2 in the Southern Ocean from 2009-2011 (Salp_Antarctic project) (Population ecology of Salpa thompsoni based on molecular indicators)

This dataset reports Salpa thompsoni specimens used for
genomics/transcriptomics with their GenBank accession links.

Related Dataset: [Salp sample log](\\https://www.bco-
dmo.org/dataset/672600\\)

cdm_data_type = Other
VARIABLES:
specimen (unitless)
cruise_id (unitless)
station (unitless)
length (millimeters)
SRA_accession (unitless)
BioSample_accession (Bio Sample Accession, unitless)
SRA_accession_link (unitless)
BioSample_accession_link (Bio Sample Accession Link, unitless)


[Salp sample log] - Salp specimen log for genomic and transcriptomic study collected from  ARSV Laurence M. Gould, Umitaka-Maru, R/V Polarstern LMG1110, UM-08-09, ANT-XXVII-2 in the Southern Ocean from 2009-2011 (Salp_Antarctic project) (Population ecology of Salpa thompsoni based on molecular indicators)

This dataset is a log of the Salpa thompsoni specimens used for
genomics/transcriptomics. Reported parameters include cruise id, region,
season and area, location, number of samples collected, temperature, salinity,
depth range of the samples, and the depth of the water at the collection site.

Related Dataset: [Salp genome and transcriptome](\\https://www.bco-
dmo.org/dataset/675040\\)

cdm_data_type = Other
VARIABLES:
cruise_id (unitless)
region (unitless)
season (unitless)
area (unitless)
station (unitless)
latitude (degrees_north)
longitude (degrees_east)
num_samples (unitless)
temp (Temperature, degrees Celsius)
sal (PPT)
depth_range (Depth, meters)
depth_w (Depth, meters)


[salp_chloro] - Chlorophyll data associated with salp swarm collections in the Slope Waters off northeastern USA from R/V Oceanus OC370, OC379, OC381 in the slope waters off NJ, DE, MD from 2001-2002 (SalpSwarmDyn project) (Salp Swarm Dynamics)

Chlorophyll data associated with salp swarm collections in the Slope Waters off northeastern USA from R/V Oceanus OC370, OC379, OC381 in the slope waters off NJ, DE, MD from 2001-2002.

cdm_data_type = Other
VARIABLES:
cruise_id
sample
day_local
month_local
year
yrday_local
depth (m)
filter (microns)
chl_a (Concentration Of Chlorophyll In Sea Water, microgram/liter)
phaeo (microgram/liter)
pig_tot (microgram/liter)
chl_per_tot
comments


[salp_swarms] - Abundance, size, fecundity of Salpa aspera in the Slope Waters off northeastern USA from R/V Oceanus OC379, OC381 in the slope waters off NJ, DE, MD from June-Sept. 2002 (SalpSwarmDyn project) (Salp Swarm Dynamics)

Abundance, size, fecundity of Salpa aspera in the Slope Waters off northeastern USA from R/V Oceanus OC379, OC381 in the slope waters off NJ, DE, MD from June-Sept. 2002.

cdm_data_type = Other
VARIABLES:
cruise_id
year
haul_id
date_local
time_local
day_local
month_local
yrday_local
latitude (degrees_north)
longitude (degrees_east)
volfilt (meters^3)
dvol_liters (liters)
biovol_per_aliq (milliliters)
form
length (millimeters (?))
fertilized_flag
fraction_chain_inside
comments


[SALT larval geochemical fingerprints] - Shell trace elemental data (geochemical fingerprints) from larval samples collected during cruises AT42-24, AT50-04, and TN391 in the Gulf of Mexico and Northwestern Atlantic in 2020, 2021, and 2022 (Collaborative Research: dispersal depth and the transport of deep-sea, methane-seep larvae around a biogeographic barrier)

Larval dispersal drives metapopulation connectivity, a key metric of population resilience to disturbance. Deep-sea larval disperal remains poorly understood due to the limited applicability of nearshore approaches such as larval rearing in-situ. Here, we used laser ablation spectrometry (Jackson School of Geosciences at the University of Texas at Austin) and multivariate statistical analyses (i.e., PERMANOVA and CAP) to quantify larval shell trace elemental fingerprints for deep-sea methane seep mussels Gigantidas childressi and Bathymodiolus heckerae to infer spatiotemporal mixing of larval population pools in the Gulf of Mexico and Western Atlantic Margin. Larvae were collected during R/V Atlantis cruises AT42-24 (Spring 2020) and AT50-04 (Fall 2022), and R/V Thomas G. Thompson  cruise TN-391 (Summer 2021). We analysed variation in fingerprints of 366 larvae among depths (500-3,000m), seven seep sites, and three sampling years (spawning periods). Fingerprints differed significantly among depths across spawning periods, among sites within spawning periods, and among spawning periods themselves. Results may reflect divergence in sources of organic matter during dispersal due to shifts in dispersal trajectories or water mass environmental chemistry over time. Additionally, results indicate that larvae may mix during early dispersal (i.e., during formation of the prodissoconch I shell growth region) and become more isolated by later dispersal (i.e., formation of prodissoconch II). Overall, over timescales of only a few years, deep-sea mussel larval pools may be subtly spatiotemporally isolated, which may limit population resilience to natural and anthropogenic disturbance.

cdm_data_type = Other
VARIABLES:
YearSampled (unitless)
Date (unitless)
Cruise (unitless)
Vehicle (unitless)
Dive_Number (unitless)
depth (m)
Site (unitless)
Site_Name (unitless)
latitude (degrees_north)
longitude (degrees_east)
... (24 more variables)


[Salt marsh carbonate and organic carbon chemistry 2016] - Discrete bottle sample measurements for carbonate chemistry, organic alkalinity and organic carbon from samples collected in Waquoit Bay and Vineyard Sound, MA in 2016 (Collaborative Research: The Paradox of Salt Marshes as a Source of Alkalinity and Low pH, High Carbon Dioxide Water to the Ocean: A First In-depth Study of A Diminishing Source)

Discrete bottle sample measurements for carbonate chemistry, organic alkalinity and organic carbon from samples collected in Waquoit Bay and Vineyard Sound, MA in 2016.

cdm_data_type = Other
VARIABLES:
sample_descrip (unitless)
latitude (degrees_north)
longitude (degrees_east)
DIC (micromoles per kilogram (umol kg-1))
TA (micromoles per kilogram (umol kg-1))
OrgAlk (Org Alk, micromoles per kilogram (umol kg-1))
DOC (micromoles per kilogram (umol kg-1))
pH (Sea Water Ph Reported On Total Scale, unitless)
Temp (Temperature, degrees Celsius)
Sal (practical salinity scale)
Elevation (meters)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)


[Salt marsh carbonate chemistry] - Discrete bottle sample measurements for carbonate chemistry from samples collected in the Sage Lot Pond salt marsh tidal creek in Waquoit Bay, MA from 2012 to 2015 (Collaborative Research: The Paradox of Salt Marshes as a Source of Alkalinity and Low pH, High Carbon Dioxide Water to the Ocean: A First In-depth Study of A Diminishing Source)

Discrete bottle sample measurements for carbonate chemistry from samples collected in the Sage Lot Pond salt marsh tidal creek in Waquoit Bay, MA from 2012 to 2015.

cdm_data_type = Other
VARIABLES:
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
DIC (micromoles per kilogram (umol kg-1))
TA (micromoles per kilogram (umol kg-1))
TEMPERATURE (degrees Celsius)
SALINITY (Sea Water Practical Salinity, practical salinity scale)


[Salt marsh continuous DIC] - Sensor measurements for dissolved inorganic carbon from the Sage Lot Pond salt marsh tidal creek in Waquoit Bay, MA from July to December 2015 (Collaborative Research: The Paradox of Salt Marshes as a Source of Alkalinity and Low pH, High Carbon Dioxide Water to the Ocean: A First In-depth Study of A Diminishing Source)

Sensor measurements for dissolved inorganic carbon from the Sage Lot Pond salt marsh tidal creek in Waquoit Bay, MA from July to December 2015. DIC was measured with an autonomous sensor called CHANnelized Optical Sensor (CHANOS).

cdm_data_type = Other
VARIABLES:
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
TEMPERATURE (degrees Celsius)
SALINITY (Sea Water Practical Salinity, practical salinity scale)
CHANOSDIC (micromoles per kilogram (umol/kg))


[Salt pond monitoring] - Continuously monitored water quality measurements from five salt marsh ponds in New Jersey, USA from Apr 2023 to Jun 2024 (Sediment transport and water quality in watersheds and coastlines of the United States)

This dataset consists of 10-minute resolution measurements of temperature, salinity, depth, dissolved oxygen concentration, and pH collected from five salt ponds in a tidal salt marsh within the Seven Mile Island Innovation Laboratory (SMIIL), located landward of Seven Mile Island in Cape May County, New Jersey. The ponds were selected based on aerial imagery from the New Jersey Office of Geographic Information Systems (NJOGIS) and in situ physical inspection to identify ponds spanning a range of sizes (150-19,000 m2), ages (40-100+ years), and instrumentable depths (0.5-1.5 m). Data from each salt pond was collected using four Onset Computer Corp. HOBO data loggers that measured pressure, temperature, conductivity/salinity, dissolved oxygen, and pH. Each of the four sensors measured temperature, with the finalized temperature data reflecting the median of the four sensors in each pond. An additional HOBO pressure sensor was deployed in a central location recording air temperature and barometric pressure. Sensors were cleaned, calibrated, and redeployed every 4-16 weeks, and discrete dissolved oxygen and carbonate chemistry samples were collected for sensor validation at the beginning and end of each deployment (see discrete sample dataset, also in this project). This dataset presents quality controlled data from each of the five ponds across five deployments, covering a period from April 2023 to June 2024.

cdm_data_type = Other
VARIABLES:
time (Datetime_utc, seconds since 1970-01-01T00:00:00Z)
site (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
salinity (unitless)
temperature (degrees Celsius)
DOconc (μmol/kg)
DOeqsat (μmol/kg)
DOsat (percent)
pH (unitless)


[Sample data for Lottia genomic samples] - Sample data for Lottia genomic samples (Evolutionary and ecological dynamics of a contemporary climate-driven range expansion)

As climatic variation re-shapes global biodiversity, understanding eco-evolutionary feedbacks during species range shifts is of increasing importance. Theory on range expansions distinguishes between two different forms: “pulled” and “pushed” waves. Pulled waves occur when the source of the expansion comes from low-density peripheral populations, while pushed waves occur when recruitment to the expanding edge is supplied by high-density populations closer to the species' core. How extreme events shape pushed/pulled wave expansion events, as well as trailing-edge declines/contractions, remains largely unexplored. We examined eco-evolutionary responses of a marine invertebrate (the owl limpet, Lottia gigantea) that increased in abundance during the 2014–2016 marine heatwaves near the poleward edge of its geographic range in the northeastern Pacific. We sampled Lottia gigantea from 19 populations across >11 degrees of latitude to characterize genomic variation, gene flow, and demographic histories across the species' range. This dataset includes sampling data for those individuals, including location, date, and size. Whole genomes were sequenced and raw genomic data can be found on NCBI (PRJNA1075458). Here we include summary statistics on whole genome data.

cdm_data_type = Other
VARIABLES:
Library_Name (unitless)
Sample_ID (unitless)
Percent_Dups (percent)
Percent_GC (percent)
Average_read_length (base pairs (bp))
M_Seqs (million reads (10^6 reads))
mill (unitless)
num_reads (unitless)
sequencer_read_length (base pairs (bp))
read_X_read_length (base pairs (bp))
genome_size (base pairs (bp))
Cov (unitless)
site (unitless)
date (unitless)
... (4 more variables)


[Sample log for Alvin dive A4703 from AT26-14] - Sample log for R/V Atlantis (AT26-14) Alvin dive A4703 in the Gulf of Mexico during April 2014 (Lophelia OA project) (Physiological and genetic responses of the deep-water coral, Lophelia pertusa, to ongoing ocean acidification in the Gulf of Mexico)

Sample log for R/V Atlantis (AT26-14) Alvin dive A4703 in the Gulf of Mexico during April 2014 (Lophelia OA project)

cdm_data_type = Other
VARIABLES:
dive (unitless)
latitude (degrees_north)
longitude (degrees_east)
date (unitless)
time2 (Time, unitless)
activity (unitless)


[Sample numbers and associated data for bacteria sequence mapping] - Sample numbers, barcode information, primer information and project name from bacteria samples collected in the Caribbean during 2013 (Contagious coral diseases project) (Are coral diseases contagious?)

Sample numbers, barcode information, primer information and project name from bacteria samples collected in the Caribbean during 2013 (Contagious coral diseases project)

cdm_data_type = Other
VARIABLES:
project_name (unitless)
linker_primer_sequence (unitless)
sample_id (unitless)
barcode_sequence (unitless)
barcode_name (unitless)
description (unitless)


[Sample Stations for COP Cruises 2021-2022] - Sample stations for the Neotrypaea COP (Community, Oxygen, & Productivity) Effects ground-truth cruises in 2021 and 2022 (Environmental consequences of expanded recruitment of an ecosystem engineer on a hypoxia-influenced continental shelf)

Benthic invertebrate communities, that the highly productive US West Coast fishery species and marine mammals rely on for food, are being increasingly impacted by low oxygen conditions. This project addresses the potential ecological consequences of a new member to these benthic communities, the ghost shrimp Neotrypaea. In estuaries, Neotrypaea continuously rework the sediment via their burrowing activities. Their high abundances and geological effects make them important in mitigating impacts of nutrient run-off (natural and human-induced), which can exacerbate low oxygen conditions. Neotrypaea are also considered threats to the oyster industry because of their sediment-excavating activities. An expansion of their distribution beyond estuaries may have additional consequences for the Dungeness crab fishery (regionally valued at $33-74M/y) as Neotrypaea sp. are both competitors with juveniles and prey for larger Dungeness crab. This project will ground-truth predictions of Neotrypaea's new offshore distribution with video and sample collections. Using box core samples we will document differences in potentially interacting benthic communities within the Neotrypaea beds as compared to areas not colonized by the shrimp. These new data are needed to determine whether the existing species composition is altered by the recruitment of Neotrypaea. We will estimate the shrimp's contribution to benthic oxygen and nutrient fluxes by using aquatic eddy covariance (EC) methods and core incubations in shelf areas with and without abundant shrimp. This dataset includes the sampling locations for the model ground-truthing/community changes (box core collections) and the EC lander deployment and slow core collections. Coastal waters along the OR-WA shelf are subject to growing human related management, extractive, cultural, and recreational activities. This research is particularly needed for commercial fisheries stakeholders in decisions regarding ocean-use planning and be valuable to oyster growers concerned over burrowing shrimp pest management.

cdm_data_type = Other
VARIABLES:
Sample (unitless)
Sample_Date (unitless)
Project (unitless)
Vessel (unitless)
CruiseID (unitless)
Site (unitless)
... (13 more variables)


[sample_information] - Sampling locations and ancillary data for bulk chemical and molecular characterization of organic carriers and their partition coefficients with radionuclide marine tracers. (Biopolymers as carrier phases for selected natural radionuclides (of Th, Pa, Pb, Po, Be) in diatoms and coccolithophores)

To study the binding mechanisms of radionuclides to organic moieties in colloidal organic matter (COM),marine colloids (1 kDa\u20130.2 \u03bcm) were isolated by cross-flow ultrafiltration from seawater of the west Pacific Ocean and the northern Gulf of Mexico. For the same purpose, exopolymeric substances (EPS) produced by laboratory cultured diatoms were collected as well. In our study areas, colloidal organic carbon (COC) concentrations ranged from 6.5 to 202 \u03bcg-C/L in the Pacific Ocean, and were 808 \u03bcg-C/L in the Gulf of Mexico. The COM compositions (organic carbon, organic nitrogen, proteins, total hydrolysable amino acids, total polysaccharides, uronic acids, hydroxamate siderophores, hydroquinone) were quantified to examine the relationships between partition coefficients (Kc) of five different radionuclides, 234Th, 233Pa, 210Pb, 210Po and 7Be, and concentration ratios to COC of individual chelating biomolecules that could potentially act as a chelating moiety. The range of partition coefficients (Kc, reported as logKc) of radionuclides between water and the different colloidal materials was 5.12 to 5.85 for 234Th, 5.19 to 6.01 for 233Pa, 4.21 to 4.85 for 210Pb, 4.87 to 5.68 for 210Po, and 4.49 to 4.92 for 7Be, similar to values previously reported for lab and field determinations under different particle concentrations. While any relationship obtained between Kc and abundance of specific moieties could not be taken as proving the existence of colloidal organic binding ligands for the different radionuclides, it could suggest possible organic moieties involved in the scavenging of these natural radionuclides. Together with results from isoelectric focusing of radiolabeled COM, we conclude that binding to different biomolecules is nuclide-specific, with colloidal hydroxamate siderophoric moieties being important for the binding of Th and Pa radionuclides. Hydroquinones/ quinone (HQ/Q) facilitated redox and chelation reactions seem to be involved in the binding of Pa and Be. However, the actual mechanisms are not clear. Individual amino acids, proteins, total polysaccharides and uronic acids did not yield significant relationships with logKc values of the different radionuclides. Nonetheless, our results provide new insights into the relative importance of different potential ligand moieties in COM in the binding and possible scavenging of specific radionuclides in the ocean.

cdm_data_type = Other
VARIABLES:
Sample_ID (unitless)
Cruise (unitless)
... (9 more variables)


[Samples Sequenced for Metabarcoding] - Cyanobacterial and diatom samples collecteced between April and September 2022, and sequenced for metabarcodig of 16S and rbcL. (Collaborative Research: RUI: OCE-BO: Tango in the Mat World: Biogeochemistry of diurnal vertical migration in microbial mats of Lake Huron’s sinkholes)

These data are the sample information for each of the samples collected for metabarcoding of 16S and rbcL to describe Cyanobacterial and diatom diversity, respectively, in three sites in Alpena, Michigan, one site in Monroe, Michigan, and one site in Palm Coast, Florida. Sample data are for sequenced samples and include their associated water parameter information that was collected simultaneously.
Each of these sites are high-sulfur, low-oxygen environments formed by underwater sinkholes and springs that create extreme habitats populated by microbial mat communities. Our study investigated previously undescribed diatom diversity in these habitats, and further explored the bacterial communities as well. Our results provide novel information on microbial mat community composition, and present evidence that microbial biogeography influences these unique communities.

cdm_data_type = Other
VARIABLES:
SampleID (unitless)
Collection_ID (unitless)
Collection_Date (unitless)
Location (unitless)
Lat (degrees_north)
longitude (Long, degrees_east)
Sample_Type (unitless)
Temp (Celsius (°C))
Cond (Microsiemens / centimeter (μS/cm))
TDS (Grams/liter (g/L))
pH (unitless)
NTU (Nephelometric Turbidity Units (NTU))
ODO (Percentage saturation)
ODO_mg_L (Milligrams/liter (mg/L))
Cl_mg_L (Milligrams/liter (mg/L))
SO4_mg_L (Milligrams/liter (mg/L))
NO3_N_mg_L (Milligrams/liter (mg/L))
Si_mg_L (Milligrams/liter (mg/L))
SRP_P_mg_L (Milligrams/liter (mg/L))
NCBI_BioProject (unitless)


[San Dieguito Lagoon Carbon export] - Carbon export from San Dieguito Lagoon from samples for seawater carbonate biogeochemistry between April 2014 and January 2015 (CAREER: Biogeochemical Modification of Seawater CO2 Chemistry in Near-Shore Environments: Effect of Ocean Acidification)

General study design:\r\nIn this study, samples for seawater carbonate biogeochemistry were collected in the San Dieguito Lagoon (SDL) over the course of a year, both at the mouth of the lagoon during ebb tide and at stations spatially distributed across the lagoon at high tide. The study was designed to assess the lateral carbon flux from SDL to the coastal ocean, and how this changed under different environmental conditions.

cdm_data_type = Other
VARIABLES:
latitude (degrees_north)
longitude (degrees_east)
Date (unitless)
time2 (Time, unitless)
Temp (Temperature, degrees Celsius)
Sal (n/a)
DO_pcnt (unitless (percentage))
DIC (micromoles per kilogram (umol/kg))
TA (micromoles per kilogram (umol/kg))
TOC (micromoles per kilogram (umol/kg))
PO4 (Mass Concentration Of Phosphate In Sea Water, micromoles per kilogram (umol/kg))
Si (Mass Concentration Of Silicate In Sea Water, micromoles per kilogram (umol/kg))
NO2 (Mole Concentration Of Nitrite In Sea Water, micromoles per kilogram (umol/kg))
NO3 (Mole Concentration Of Nitrate In Sea Water, micromoles per kilogram (umol/kg))
NH4 (Mole Concentration Of Ammonium In Sea Water, micromoles per kilogram (umol/kg))
ISO_DateTime_Local (ISO Date Time Local, unitless)


[Sand lance morphometrics] - Morphometrics of northern sand lance Ammodytes dubius offspring reared under factorial CO2 x temperature conditions (Sensitivity of larval and juvenile sand lance Ammodytes dubius on Stellwagen Bank to predicted ocean warming, acidification, and deoxygenation)

Morphometric source data of 2016-2018 experimental work on the sensitivity of northern sand lance (A. dubius) offspring to combined ocean warming and acidification.

cdm_data_type = Other
VARIABLES:
trial (unitless)
species (unitless)
adult_collection_site (unitless)
latitude (degrees_north)
longitude (degrees_east)
tank (unitless)
replicate (unitless)
temperature (degrees Celsius)
pH (Sea Water Ph Reported On Total Scale, pH NBS)
pCO2 (P CO2, uatm)
fertilization_date (unitless)
sample_date (unitless)
age (days)
sample_type (unitless)
SL (millimeters (mm))
SA (millimeters squared (mm^2))
YSA (millimeters squared (mm^2))
OGA (millimeters squared (mm^2))


[Sand lance survival] - Survival of northern sand lance Ammodytes dubius offspring under factorial CO2 x temperature conditions (Sensitivity of larval and juvenile sand lance Ammodytes dubius on Stellwagen Bank to predicted ocean warming, acidification, and deoxygenation)

Survival source data of 2016-2018 experimental work on the sensitivity of northern sand lance (A. dubius) offspring to combined ocean warming and acidification.

cdm_data_type = Other
VARIABLES:
trial (unitless)
species (unitless)
adult_collection_site (unitless)
latitude (degrees_north)
longitude (degrees_east)
tank (unitless)
temperature (degrees Celsius)
replicate (unitless)
pH (Sea Water Ph Reported On Total Scale, pH NBS)
pCO2 (P CO2, uatm)
fertilization_date (unitless)
initial_embryo_count (unitless)
total_hatch (unitless)
pcnt_hatching_success (unitless (percent))
pcnt_larval_survival (unitless (percent))
growth_rate (millimeters per day(mm d-1))


[Sandusky Bay Surveys 2018] - Data from Sandusky Bay, Lake Erie from surveys conducted via Ohio Dept of Natural Resources watercraft from June to September 2018 (Lake Erie Center for Fresh Waters and Human Health)

Data from Sandusky Bay, Lake Erie from surveys conducted via Ohio Dept of Natural Resources watercraft from June to September 2018.

cdm_data_type = Other
VARIABLES:
Deployment (unitless)
Station (unitless)
Date (unitless)
time2 (Time, UTC)
time (Date Time, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Max_Depth (meters (m))
depth (Sample Depth, m)
Air_Temp (degrees Celsius)
Water_Temp (degrees Celsius)
DO (milligrams per liter (mg/L))
Cond (micros siemens per centimeter (uS/cm))
pH (Sea Water Ph Reported On Total Scale, unitless (pH scale))
Chl_a (Concentration Of Chlorophyll In Sea Water, micrograms per liter (ug L-1))
Microcystins (micrograms per liter (ug L-1))
NH3 (milligrams per liter (mg L-1))
CL (milligrams per liter (mg L-1))
SO4 (milligrams per liter (mg L-1))
NO2 (Mole Concentration Of Nitrite In Sea Water, milligrams per liter (mg L-1))
NO3 (Mole Concentration Of Nitrate In Sea Water, milligrams per liter (mg L-1))
SIO2 (milligrams per liter (mg L-1))
SRP (milligrams per liter (mg L-1))
Total_Phosphorus (milligrams per liter (mg L-1))
Total_Nitrogen (milligrams per liter (mg L-1))
Planktothrix_agardhii (cubic micrometers per liter (um3 L-1))
... (6 more variables)


[Sandusky Bay Surveys 2019] - Data from Sandusky Bay, Lake Erie from surveys conducted via Ohio Dept of Natural Resources watercraft from June to September 2019 (Lake Erie Center for Fresh Waters and Human Health)

Data from Sandusky Bay, Lake Erie from surveys conducted via Ohio Dept of Natural Resources watercraft from June to September 2019.

cdm_data_type = Other
VARIABLES:
Deployment (unitless)
Station (unitless)
time2 (Time, unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Max_Depth (meters (m))
depth (Sample Depth, m)
Air_Temp (degrees Celsius)
Water_Temp (degrees Celsius)
Sample_DO (milligrams per liter (mg L-1))
Cond (milli siemens per centimeter (mS cm-1))
pH (Sea Water Ph Reported On Total Scale, unitless (pH scale))
chlorophyll_a (Concentration Of Chlorophyll In Sea Water, micrograms per liter (ug L-1))
microcystin (micrograms per liter (ug L-1))
Ammonium (Mole Concentration Of Ammonium In Sea Water, micromoles per liter (umol L-1))
NO3_NO2 (Mole Concentration Of Nitrate In Sea Water, micromoles per liter (umol L-1))
NO2 (Mole Concentration Of Nitrite In Sea Water, micromoles per liter (umol L-1))
DRP (micromoles per liter (umol L-1))
Silicate (Mass Concentration Of Silicate In Sea Water, micromoles per liter (umol L-1))
Nitrate (Mole Concentration Of Nitrate In Sea Water, micromoles per liter (umol L-1))
TP (micromoles per liter (umol L-1))
TKN (micromoles per liter (umol L-1))
TN (micromoles per liter (umol L-1))
TN_TP_ratio (molar ratio)


[Sanger Sequencing Analysis of Potexvirus PCR Products (Potex-5 and Potex-2RC)] - Sanger Sequencing Analysis of Potexvirus PCR Products (Potex-5 and Potex-2RC) collected during West Florida Coastal Surveys of Seagrass from Feb 2022 to Oct 2023 (Collaborative Research: VIDA Seagrass: Viral Infection Dynamics Among Seagrass)

This dataset includes Sanger sequence references for 40 Thalassia testudinum samples collected during systematic seagrass surveys from multiple Florida sites, including Terra Ceia Aquatic Preserve, Tampa Bay seagrass sites S1T5 and S3T8 (Lassing Park), Panacea located in the Florida Panhandle, and Florida Keys sites including Bush Key, Garden Key, Marquesas Key, and Key West.
We investigated potexvirus distribution in seagrasses using a degenerate reverse transcription polymerase chain reaction (RT-PCR) assay originally designed to capture potexvirus diversity in terrestrial plants. The assay, which implements Potex-5 and Potex-2RC primers, successfully amplified a 584 nt RNA-dependent RNA polymerase (RdRp) fragment from TVX-infected seagrasses. Following validation, we screened 74 opportunistically collected, apparently healthy seagrass samples for potexviruses using this RT-PCR assay.
Potexvirus PCR products were successfully generated from Thalassia testudinum samples. Sequences from these products are deposited in NCBI GenBank under the accession numbers OR827692-OR827705, OR854648, OR863396, OR879052-OR879056, and PP430548-PP430571.

cdm_data_type = Other
VARIABLES:
sample (unitless)
region (unitless)
site (unitless)
date (unitless)
latitude (degrees_north)
longitude (degrees_east)
sample_host (unitless)
Aphia_id (unitless)
Genbank_accession (unitless)


[Santa Barbara Basin Foraminiferal Flux 2014-2021] - Formaminiferal Flux acquired by the Santa Barbara Basin Sediment Trap Mooring between 2014 and 2021 (Collaborative Research: Three decades of foraminiferal assemblages in the Santa Barbara Basin provide a link between present and past)

The geologically rapid response of foraminiferal assemblages to changing climate makes their shells an invaluable geological record of the past. However, just how rapid these changes are is unknown and the specific drivers of assemblage composition and abundance are complex. Understanding how modern foraminifera respond to and record a climate event that would appear nearly instantaneous in the sediment record can inform paleontological interpretations and help to place foraminifera in a broader ecological context. We focus on the impact of ongoing, rapid climate change on planktic foraminifera in the California Current ecosystem. The Santa Barbara Basin sediment trap, located off the coast of California, USA since 1993, provides a 28-year record of particulate and foraminiferal flux to the basin. The sediment trap captures the superposition of the annual cycle of seasonal upwelling in Santa Barbara Basin, Pacific multiannual ENSO-driven temperature changes, and anthropogenically forced climate change. We present data on planktic foraminiferal flux collected between 2014-2021 from the Santa Barbara Basin sediment trap, at two-week intervals (164 samples). The dataset contains species-level planktic foraminiferal flux values from May 24, 2014 to November 11, 2021.  The most abundant species from 2014-2021 were Globigerina bulloides, Neogloboquadrina incompta, and Turborotalita quinqueloba.

cdm_data_type = Other
VARIABLES:
Sediment_trap_deployment_ID (unitless)
Cup_Sample_ID (unitless)
latitude (degrees_north)
longitude (degrees_east)
Open (unitless)
Close (unitless)
Mid (unitless)
Duration_days (days)
FxG_bulloides (# of foraminifera m-2 d-1)
FxN_incompta (# of foraminifera m-2 d-1)
FxT_quinqueloba (# of foraminifera m-2 d-1)
FxN_pachyderma (# of foraminifera m-2 d-1)
FxG_glutinata (# of foraminifera m-2 d-1)
... (23 more variables)


[SAR11_DOM_GIO15: AE1516 sample log] - Experimental results and survey of biogeochemical and microbial data collected on the R/V Atlantic Explorer (AE1516) at the Bermuda Atlantic Time-series study site during 2015 (Bacterial DOC cycling project) (Dissolved Organic Carbon Cycling by SAR11 Marine Bacteria)

This dataset is a log of samples collected on AE1516 at the Bermuda Atlantic Time-series study site (BAT) Hydrostation S. The samples were analyzed for microbial diversity, dissolved organic carbon (DOC), total DOC, single celled genomics, and an osmolyte inculation experiment.

cdm_data_type = Other
VARIABLES:
cruise_id (unitless)
sample_descrip (unitless)
person (unitless)
date (unitless)
time2 (Time, hh:mm)
depth (m)
sample_id (unitless)
filtrand_id (unitless)
TOC_id (unitless)
sample_volume (milliliters)
filter_size (unitless)
preservation (unitless)
incubation (hours)
temp_stored (degrees Celsius)


[Sargasso Sea Plankton Aggregation: Aggregate Abundances] - Abundance of sinking aggregates of a Sargasso Sea Plankton community from roller tank experiments with seawater collected during R/V Atlantic Explorer cruises AE1718 and AE1808 in 2017 and 2018 (Aggregation of Marine Picoplankton)

Abundance of sinking aggregates of a Sargasso Sea Plankton community from roller tank experiments with seawater collected during R/V Atlantic Explorer cruises AE1718 and AE1808 in 2017 and 2018.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
depth (m)
latitude (degrees_north)
longitude (degrees_east)
Aggregate_Abundance_Control1 (number of aggregates per liter (Aggs/L))
Aggregate_Abundance_Control2 (number of aggregates per liter (Aggs/L))
Aggregate_Abundance_0_5mg_Lkaolinite1 (number of aggregates per liter (Aggs/L))
Aggregate_Abundance_0_5mg_Lkaolinite2 (number of aggregates per liter (Aggs/L))
Aggregate_Abundance_5_0mg_Lkaolinite1 (number of aggregates per liter (Aggs/L))
Aggregate_Abundance_5_0mg_Lkaolinite2 (number of aggregates per liter (Aggs/L))


[Sargasso Sea Plankton Aggregation: Excess Densities] - Excess density of sinking aggregates of a Sargasso Sea plankton community from roller tank experiments with seawater collected during R/V Atlantic Explorer cruises AE1718 and AE1808 in 2017 and 2018 (Aggregation of Marine Picoplankton)

Excess density of sinking aggregates of a Sargasso Sea plankton community from roller tank experiments with seawater collected during R/V Atlantic Explorer cruises AE1718 and AE1808 in 2017 and 2018.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
depth (m)
latitude (degrees_north)
longitude (degrees_east)
Aggregate_Excess_Density_Control1 (grams per milliliter (g/mL))
Aggregate_Excess_Density_Control2 (grams per milliliter (g/mL))
Aggregate_Excess_Density_0_5mg_Lkaolinite1 (grams per milliliter (g/mL))
Aggregate_Excess_Density_0_5mg_Lkaolinite2 (grams per milliliter (g/mL))
Aggregate_Excess_Density_5_0mg_Lkaolinite1 (grams per milliliter (g/mL))
Aggregate_Excess_Density_5_0mg_Lkaolinite2 (grams per milliliter (g/mL))


[Sargasso Sea Plankton Aggregation: Sinking Velocities] - Velocity of sinking aggregates of a Sargasso Sea Plankton community from roller tank experiments with seawater collected during R/V Atlantic Explorer cruises AE1718 and AE1808 in 2017 and 2018 (Aggregation of Marine Picoplankton)

Velocity of sinking aggregates of a Sargasso Sea Plankton community from roller tank experiments with seawater collected during R/V Atlantic Explorer cruises AE1718 and AE1808 in 2017 and 2018.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
depth (m)
latitude (degrees_north)
longitude (degrees_east)
Aggregate_Sinking_Velocity_Control1 (meters per day (m/d))
Aggregate_Sinking_Velocity_Control2 (meters per day (m/d))
Aggregate_Sinking_Velocity_0_5mg_Lkaolinite (meters per day (m/d))
Aggregate_Sinking_Velocity_0_5mg_Lkaolinite2 (meters per day (m/d))
Aggregate_Sinking_Velocity_5_0mg_Lkaolinite1 (meters per day (m/d))
Aggregate_Sinking_Velocity_5_0mg_Lkaolinite2 (meters per day (m/d))


[Sargasso Sea Plankton Aggregation: Sizes] - Size of sinking aggregates of a Sargasso Sea Plankton community from roller tank experiments with seawater collected during R/V Atlantic Explorer cruises AE1718 and AE1808 in 2017 and 2018 (Aggregation of Marine Picoplankton)

Size of sinking aggregates of a Sargasso Sea Plankton community from roller tank experiments with seawater collected during R/V Atlantic Explorer cruises AE1718 and AE1808 in 2017 and 2018.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
depth (m)
latitude (degrees_north)
longitude (degrees_east)
Aggregate_ESD_Control1 (millimeters (mm))
Aggregate_ESD_Control2 (millimeters (mm))
Aggregate_ESD_0_5mg_Lkaolinite1 (millimeters (mm))
Aggregate_ESD_0_5mg_Lkaolinite2 (millimeters (mm))
Aggregate_ESD_5_0mg_Lkaolinite1 (millimeters (mm))
Aggregate_ESD_5_0mg_Lkaolinite2 (millimeters (mm))


[Sargasso Sea Plankton Aggregation: TEP] - Transparent Exopolymer Particle (TEP) concentrations of Sargasso Sea seawater from roller tank experiments with seawater collected during R/V Atlantic Explorer cruises AE1718 and AE1808 in 2017 and 2018 (Aggregation of Marine Picoplankton)

Transparent Exopolymer Particle (TEP) concentrations of Sargasso Sea seawater from roller tank experiments with seawater collected during R/V Atlantic Explorer cruises AE1718 and AE1808 in 2017 and 2018.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
depth (m)
latitude (degrees_north)
longitude (degrees_east)
TEP_rep1 (ug XG per mL)
TEP_rep2 (ug XG per mL)


[Sargassum mature growth - figure 2] - Growth of mature caged Sargassum polycystum fronds from MPAs and non-MPAs when reciprocally transplanted (Killer Seaweeds: Allelopathy against Fijian Corals)

Raw data on the growth of mature Sargassum polycystum fronds originated from
marine protected and non-protected areas (MPAs and non-MPAs, respectively) in
Fiji, reciprocally transplanted between these areas and protected by cages.
Growth was measured as the difference between the final (30 days) and initial
frond length, measured from a standard point established using a thread when
the experiment was set. Details in Dell et al. 2016 Plos One.

Related Reference:
 Dell, C., Longo, G.O., Hay, M.E. (2016) Positive feedbacks enhance
macroalgal resilience on Degraded Coral Reefs. Plos One.

Related Datasets:
[Sargassum recruit-sized survival - figure 3](\\http://www.bco-
dmo.org/dataset/644035\\)
[Sargassum mature growth conspecific - figure 4](\\http://www.bco-
dmo.org/dataset/644062\\)
[Sargassum recruit-sized growth and survival with conspecifics - figures 5 and
6](\\https://www.bco-dmo.org/dataset/644080\\)

cdm_data_type = Other
VARIABLES:
latitude (degrees_north)
longitude (degrees_east)
village (unitless)
location (unitless)
origin (unitless)
growth (cm)


[Sargassum mature growth conspecific - figure 4] - Growth and survival of mature Sargassum polycystum fronds in crowded and isolated habitats (Killer Seaweeds: Allelopathy against Fijian Corals)

Raw data on the growth of mature Sargassum polycystum fronds transplanted into
or outside Sargassum beds, crowded and isolated conditions respectively, in a
non-protected area in Fiji. Growth was obtained using the initial height
measurement from each ramet and subtracting it from its final height, meaning
the ramets that died were recorded as negative change. Details in Dell et al.
2016 Plos One.

Related Reference:
 Dell, C., Longo, G.O., Hay, M.E. (2016) Positive feedbacks enhance
macroalgal resilience on Degraded Coral Reefs. Plos One.

Related Datasets:
[Sargassum mature growth - figure 2](\\http://www.bco-
dmo.org/dataset/643915\\)
[Sargassum recruit-sized survival - figure 3](\\http://www.bco-
dmo.org/dataset/644035\\)
[Sargassum recruit-sized growth and survival with conspecifics - figures 5 and
6](\\https://www.bco-dmo.org/dataset/644080\\)

cdm_data_type = Other
VARIABLES:
latitude (degrees_north)
longitude (degrees_east)
all_isolated (cm)
all_crowded (cm)
all_difference (cm)
survivors_isolated (cm)
survivors_crowded (cm)
survivors_difference (cm)


[Sargassum recruit-sized  growth and survival with conspecifics - figures 5 and 6] - Survival and growth of recruit-sized ramets growing inside or outside Sargassum beds (crowded and isolated conditions, respectively) in the MPA and non-MPA of two villages in Fiji (Killer Seaweeds: Allelopathy against Fijian Corals)

Survival and growth of recruit-sized ramets of Sargassum polycystum growing
inside or outside Sargassum beds (crowded and isolated conditions,
respectively) in protected and non-protected areas (MPA and non-MPA,
respectively) in two villages in Fiji.

Growth was obtained using the initial height measurement from each ramet and
subtracting it from its final height, meaning the ramets that died were
recorded as negative change. An average final height was calculated from two
sub-samples (the two MPA and two non-MPA ramets) on each tile after 3 months
of experiment. Survival was the average number of days survived by the two MPA
ramets and by the two non-MPA ramets in each tile Details in Dell et al. 2016
Plos One.

Related Reference:
 Dell, C., Longo, G.O., Hay, M.E. (2016) Positive feedbacks enhance
macroalgal resilience on Degraded Coral Reefs. Plos One.

Related Datasets:
[Sargassum mature growth - figure 2](\\http://www.bco-
dmo.org/dataset/643915\\)
[Sargassum recruit-sized survival - figure 3](\\http://www.bco-
dmo.org/dataset/644035\\)
[Sargassum mature growth conspecific - figure 4](\\http://www.bco-
dmo.org/dataset/644062\\)

cdm_data_type = Other
VARIABLES:
origin_location (unitless)
origin (unitless)
location (unitless)
condition (unitless)
... (7 more variables)


[Sargassum recruit-sized survival - figure 3] - Effect of habitat, origin, and herbivory on the survival and growth of recruit-sized S. polycystum fronds from MPAs and non-MPAs when reciprocally transplanted (Killer Seaweeds: Allelopathy against Fijian Corals)

Raw data on the survival of recruit-sized ramets of Sargassum polycystum
originated from marine protected and non-protected areas (MPAs and non-MPAs,
respectively) in Fiji, reciprocally transplanted between these areas in two
conditions: protected by closed cages or exposed to grazing in partially open
cages. Survival data is the average number of days survived by the four MPA
ramets and by the four non-MPA ramets in each of the cages. Details in Dell et
al. 2016 Plos One.

Related Datasets:
[Sargassum mature growth - figure 2](\\http://www.bco-
dmo.org/dataset/643915\\)
[Sargassum mature growth conspecific - figure 4](\\http://www.bco-
dmo.org/dataset/644062\\)
[Sargassum recruit-sized growth and survival with conspecifics - figures 5 and
6](\\https://www.bco-dmo.org/dataset/644080\\)

cdm_data_type = Other
VARIABLES:
latitude (degrees_north)
longitude (degrees_east)
location (unitless)
origin (unitless)
treatment (unitless)
average_days_survived (days)


[SBDOM11 mini-remineralization expt.] - Dilution batch-culture bioassay (remineralization) experiments from SBDOM11 project cruise from R/V Point Sur PS1103 in the Santa Barbara Channel, May 2011 (SBDOM project, SBC LTER project) (Mechanisms controlling the production and fate of DOM during diatom blooms)

This dataset includes results from dilution batch-culture bioassay experiments reporting bacterial abundance, growth rates, barcode sequences and DOC were from the SBDOM 11 cruise in May 2011.

cdm_data_type = Other
VARIABLES:
Sample (unitless)
sta_id (unitless)
bottle (unitless)
Initiation_date (unitless)
Initiation_time (unitless)
Timepoint (unitless)
Date (unitless)
DOC_sampling_time (unitless)
DOC_Bottle_A (micromol/liter)
DOC_A_st_dev (micromol/liter)
DOC_Bottle_B (micromol/liter)
DOC_B_st_dev (micromol/liter)
Bact_abun_sampling_time (unitless)
Bact_abun_A (cells/liter)
Bact_abun_B (cells/liter)
DNA_sampling_time (unitless)
Pyrosequencing_barcode (unitless)
mu_growth_A (cells/day)
mu_growth_B (cells/day)
BGE_A (unitless)
BGE_B (unitless)


[SCALE NO3 d15N] - Nitrate + nitrite isotope measurements from surface and water-column profiles in the Atlantic Sector of the Southern Ocean during the SCALE 2019 cruise aboard the S.A. Agulhas II from Oct 2019 to Nov 2019 (Collaborative Research: Quantifying the effects of variable light and iron on the nitrate assimilation isotope effect of phytoplankton)

Here we present nitrate + nitrite (NO3– + NO2–) isotopic compositions (δ15N and δ18O) from Southern oCean Seasonal Experiment (SCALE) research cruise onboard the S.A. Agulhas II. This cruise sampled surface and water-column profiles of the late spring/early summer Atlantic Sector of the Southern Ocean, starting and ending in Cape Town, South Africa along the Good Hope line to the ice edge, from October 2019 to November 2019. These data focused on potential drivers of the nitrate plus nitrite isotope effect.

cdm_data_type = Other
VARIABLES:
CruiseID (unitless)
ISO_DateTime_Local (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Station (unitless)
CastType (unitless)
CastID (unitless)
depth (m)
NO3_NO2_d15N (per mil vs. N2 in air)
NO3_NO2_d18O (per mil vs. Vienna Standard Mean Ocean Water (VSMOW))


[Scallop Density Survey - Trap CPUE] - Data from minnow traps placed across landscape fragmentation per se treatments in June, July, and August 2019 in Back Sound, NC to accompany scallop density surveys (Collaborative Research: Habitat fragmentation effects on fish diversity at landscape scales: experimental tests of multiple mechanisms)

This dataset contains data from minnow traps placed across landscape fragmentation per se treatments in June, July, and August 2019 to accompany scallop density surveys. These data were collected as part of the following study published in Yarnall et al. (2024):

To explore the independent influence of fragmentation per se (patchiness) on mobile juvenile bay scallop (Argopecten irradians) density, we constructed 16 artificial seagrass unit (ASU) landscapes, consisting of four replicates each of four treatments. Fragmentation per se treatments consisted of three levels of patchiness while maintaining consistent total ASU area. We also examined the effect of patch-scale position on scallop densities.

To examine the relationship of potential scallop predator community density on scallop density, we deployed four baited minnow traps to accompany each density survey.

Data were collected by Drs. F. Joel Fodrie and Amy H. Yarnall for the Estuarine Ecology Laboratory of the University of North Carolina at Chapel Hill's Institute of Marine Sciences.

cdm_data_type = Other
VARIABLES:
Site_ID (unitless)
Landscape (unitless)
Num_patches (integer)
Footprint (unitless)
Rep_letter (unitless)
latitude (degrees_north)
longitude (degrees_east)
Month (unitless)
Date_In (unitless)
Time_In (unitless)
time (Iso_datetime_utc_in, seconds since 1970-01-01T00:00:00Z)
Date_Out (unitless)
Time_Out (unitless)
... (10 more variables)


[Scallop Density Surveys - Landscape Fine-scale Complexity] - Canopy height and epiphyte biomass of artificial seagrass landscapes in June, July, and August 2019 in Back Sound, NC (Collaborative Research: Habitat fragmentation effects on fish diversity at landscape scales: experimental tests of multiple mechanisms)

This dataset contains metadata and data for canopy height and epiphyte biomass of artificial seagrass landscapes in June, July, and August 2019.  These data were collected as part of the following study published in Yarnall et al. (2024):

To explore the independent influence of fragmentation per se (patchiness) on mobile juvenile bay scallop (Argopecten irradians) density, we constructed 16 artificial seagrass unit (ASU) landscapes, consisting of four replicates each of four treatments. Fragmentation per se treatments consisted of three levels of patchiness while maintaining consistent total ASU area. We also examined the effect of patch-scale position on scallop densities.

We were also interested in examining fine-scale complexity influences scallop density. In June, July, and August 2019 fine-scale habitat complexity metrics, including ASU canopy height and epiphyte biomass, were sampled across landscapes where mobile scallops were present.

Data were collected by Drs. F. Joel Fodrie and Amy H. Yarnall for the Estuarine Ecology Laboratory of the University of North Carolina at Chapel Hill's Institute of Marine Sciences.

cdm_data_type = Other
VARIABLES:
Site_ID (unitless)
Landscape (unitless)
Num_patches (integer)
Footprint (unitless)
Rep_letter (unitless)
latitude (degrees_north)
longitude (degrees_east)
Month (unitless)
Date_collected (unitless)
Height (millimeters (mm))
Date_scraping (unitless)
Tin_wt (grams (g))
... (4 more variables)


[Scallop Density Surveys] - Scallop density survey data across landscape fragmentation per se treatments in June, July, and August 2019 in Back Sound, NC (Collaborative Research: Habitat fragmentation effects on fish diversity at landscape scales: experimental tests of multiple mechanisms)

This dataset contains metadata and data for scallop density surveys across landscape fragmentation per se treatments in June, July, and August 2019. These data were collected as part of the following study published in Yarnall et al. (2024):

To explore the independent influence of fragmentation per se (patchiness) on mobile juvenile bay scallop (Argopecten irradians) density, we constructed 16 artificial seagrass unit (ASU) landscapes, consisting of four replicates each of four treatments. Fragmentation per se treatments consisted of three levels of patchiness while maintaining consistent total ASU area. We also examined the effect of patch-scale position on scallop densities.

Freely mobile juvenile scallops were placed at a consistent density (indiv. m-2) across landscapes for three density survey trials, one each during June, July, and August 2019. Observers snorkel surveyed each landscape at 24 h, 48 h, and 72 h during each trail, and recorded the number of scallops per ASU.

Data were collected by Drs. F. Joel Fodrie and Amy H. Yarnall for the Estuarine Ecology Laboratory of the University of North Carolina at Chapel Hill's Institute of Marine Sciences.

cdm_data_type = Other
VARIABLES:
Site_ID (unitless)
Landscape (unitless)
Num_patches (count)
Footprint (unitless)
Rep_letter (unitless)
latitude (degrees_north)
longitude (degrees_east)
Date_check (unitless)
Month (unitless)
Check_num (unitless)
Time_check (unitless)
... (14 more variables)


[Scallop Survival Assays - Trap CPUE] - Data from minnow traps deployed to accompany scallop survival assays conducted as part of a larger concurrent study with Artificial Seagrass Units (ASU) in NC from July to September 2018 (Collaborative Research: Habitat fragmentation effects on fish diversity at landscape scales: experimental tests of multiple mechanisms)

This dataset contains minnow trap data from deployments performed to accompany scallop survival assays conducted in 2018 (assays across landscape area x fragmentation per se treatments). These data were collected as part of the following study published in Yarnall et al. (2024):

To parse the influences of fragmentation components on scallop survival, we generated nine unique landscapes composed of artificial seagrass units (ASUs), were constructed to mimic Zostera marina. These landscapes were part of a larger-scale concurrent experiment, during which we examined seagrass fragmentation effects on estuarine faunal communities (Yarnall et al. In Press). Landscapes were designed to be treatments along orthogonal axes of seagrass percent cover of the landscape footprint (10%, 35%, 60%) and fragmentation per se, indexed by percolation probability (0.1, 0.35, 0.59).
To examine the influence of potential scallop predator community density on scallop survival, we deployed two baited minnow traps to accompany each survival assay. All caught fauna were identified to the species level, enumerated, and released.

Data were collected by Drs. F. Joel Fodrie and Amy H. Yarnall for the Estuarine Ecology Laboratory of the University of North Carolina at Chapel Hill's Institute of Marine Sciences.

cdm_data_type = Other
VARIABLES:
Site_ID (unitless)
Per_cov (percent (%))
Frag (unitless)
latitude (degrees_north)
longitude (degrees_east)
Date_In (unitless)
Time_In (unitless)
time (Iso_datetime_utc_in, seconds since 1970-01-01T00:00:00Z)
Date_Out (unitless)
Time_Out (unitless)
Check_num (unitless)
... (9 more variables)


[Scallop Survival Assays] - Data from scallop survival assays conducted as part of a larger concurrent study of fragmentation effects on estuarine faunal communities with Artificial Seagrass Units (ASU) in Back Sound, NC from July to September 2018 (Collaborative Research: Habitat fragmentation effects on fish diversity at landscape scales: experimental tests of multiple mechanisms)

This dataset contains metadata and data from scallop survival assays conducted in 2018 (assays across landscape area x fragmentation per se treatments) as part of the following study published in Yarnall et al. (2024):

To parse the influences of fragmentation components on scallop survival, we generated nine unique landscapes composed of artificial seagrass units (ASUs), were constructed to mimic Zostera marina. These landscapes were part of a larger-scale concurrent experiment, during which we examined seagrass fragmentation effects on estuarine faunal communities (Yarnall et al. In Press). Landscapes were designed to be treatments along orthogonal axes of seagrass percent cover of the landscape footprint (10%, 35%, 60%) and fragmentation per se, indexed by percolation probability (0.1, 0.35, 0.59).
Relative scallop survival was measured by deploying tethered juvenile bay scallops in two density treatments. Five 24-h survival assay trials were conducted from July to September 2018. During each survival assay, observers snorkel surveyed tethers and recorded the number of live and dead scallops per treatment.

Data were collected by Drs. F. Joel Fodrie and Amy H. Yarnall for the Estuarine Ecology Laboratory of the University of North Carolina at Chapel Hill's Institute of Marine Sciences.

cdm_data_type = Other
VARIABLES:
Site_ID (unitless)
Per_cov (percent (%))
Frag (unitless)
latitude (degrees_north)
longitude (degrees_east)
Date_In (unitless)
Time_In (unitless)
time (Iso_datetime_utc_in, seconds since 1970-01-01T00:00:00Z)
Check_num (unitless)
Date_check (unitless)
... (20 more variables)


[ScanFish OPC] - ScanFish Optical Plankton Counter (OPC) data from R/V Pelican cruises PE03-NGOMEX, PE04-NGOMEX, PE06-NGOMEX, PE07-NGOMEX, PE09-05, and PE11-06 in the Northern Gulf of Mexico between 2003 and 2010 (NGOMEX - Living Marine Resources of the Northern Gulf of Mexico)

An optical plankton counter (OPC) and CTD mounted to a ScanFish platform were towed and undulated behind the R/V Pelican during cruises PE03-NGOMEX, PE04-NGOMEX, PE06-NGOMEX, PE07-NGOMEX, PE09-05, and PE11-06 in the Northern Gulf of Mexico between 2003 and 2010.  CTD and MIDAS data were synchronized and merged with simultaneously collected OPC data and aggregated into 1 second time bins. Bottom depth was obtained from the NOAA NCEI coastal relief model.

cdm_data_type = Other
VARIABLES:
profile (unitless)
longitude (degrees_east)
latitude (degrees_north)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
depth (m)
temp (Temperature, degrees Celsius (C))
sal (unitless)
oxy (milligrams per liter (mg/l))
chl (milligrams per cubic meter (mg/m^3))
CDOM (Chromophoric Dissolved Organic Material, milligrams per cubic meter (mg/m^3))
light (relative)
n_0256_0279 (unitless)
n_0279_0304 (unitless)
n_0304_0332 (unitless)
n_0332_0362 (unitless)
n_0362_0395 (unitless)
n_0395_0431 (unitless)
n_0431_0470 (unitless)
n_0470_0512 (unitless)
n_0512_0558 (unitless)
n_0558_0609 (unitless)
n_0609_0664 (unitless)
n_0664_0724 (unitless)
... (38 more variables)


[scanfish] - Scanfish data from R/V Endeavor cruises EN321 and EN325 in the Gulf of Maine and Georges Bank in 1999 as part of the U.S. GLOBEC program (GB project) (U.S. GLOBEC Georges Bank)

Scanfish data from R/V Endeavor cruises EN321 and EN325 in the Gulf of Maine and Georges Bank in 1999 as part of the U.S. GLOBEC program.

cdm_data_type = Other
VARIABLES:
cruiseid
year
tow
yrday_gmt
latitude (degrees_north)
longitude (degrees_east)
press (decibars)
temp (Temperature, deg. C)
sal
sigma_t (kg/m3)
o2 (ml/l)
chl_a (Concentration Of Chlorophyll In Sea Water, ug/l)


[SCCS Bulk N2 Fixation Measurements] - Bulk N2 fixation measurements from UCYN-A symbiosis in the Southern California Current System from May 2017 (SP1714) and October (SP1724) SCCS cruises. (Collaborative Research: Biogeochemical significance of the abundant, uncultivated symbiotic cyanobacteria UCYN-A)

Bulk N2 fixation measurements from UCYN-A symbiosis in the Southern California Current System from May 2017 (SP1714) and October (SP1724) SCCS cruises.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
Station (unitless)
Latitude (degrees_north)
longitude (degrees_east)
depth (m)
Average_NFR (nanomoles nitrogen per liter per day (nmol N L-1 d–1))
Stdev_NFR (nanomoles nitrogen per liter per day (nmol N L-1 d–1))
LOD (nanomoles nitrogen per liter per day (nmol N L-1 d–1))
MQR (nanomoles nitrogen per liter per day (nmol N L-1 d–1))
Rep1_NFR (nanomoles nitrogen per liter per day (nmol N L-1 d–1))
Rep2_NFR (nanomoles nitrogen per liter per day (nmol N L-1 d–1))
Rep3_NFR (nanomoles nitrogen per liter per day (nmol N L-1 d–1))
Rep1_T (days)
Rep1_APN (percentage (%))
Rep1_PN (micromoles nitrogen per liter (µmol N L-1))
Rep2_T (days)
Rep2_APN (percentage (%))
Rep2_PN (micromoles nitrogen per liter (µmol N L-1))
Rep3_T (days)
Rep3_APN (percentage (%))
Rep3_PN (micromoles nitrogen per liter (µmol N L-1))
AtomPerc_N2_rep1 (percentage (%))
AtomPerc_PN_rep1 (percentage (%))


[SCCS Diazotroph Abundances] - Hydrological, biogeochemcial and N2-fixer qPCR-derived abundance data for May 2017 (SP1714) and October (SP1724) SCCS cruises. (Collaborative Research: Biogeochemical significance of the abundant, uncultivated symbiotic cyanobacteria UCYN-A)

Hydrological, biogeochemcial and N2-fixer qPCR-derived abundance data for May 2017 (SP1714) and October (SP1724) SCCS cruises.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
Station (unitless)
depth (m)
latitude (degrees_north)
longitude (degrees_east)
Sample_Date (unitless)
bottom_depth (meters (m))
mix_layer_depth (meters (m))
temperature (Degrees Celcius (°C))
salinity (psu)
oxygen (milliliters per liter (mL L-1))
fluorescence (milligrams per cubic meters (mg m-3))
PAR (unitless)
potential_density (kilograms per cubic meters (kg m-3))
Nitrate (micromoles (µM))
Phosphate (micromoles (µM))
P (unitless)
chla_ave (micrograms per liter (µg L-1))
chla_stdev (micrograms per liter (µg L-1))
UCYN_A1_ave (nitrogenase gene per liter (nifH L-1))
UCYN_A1_stdev (nitrogenase gene per liter (nifH L-1))
UCYN_A1_DNQ (unitless)
UCYN_A2_ave (nitrogenase gene per liter (nifH L-1))
UCYN_A2_stdev (nitrogenase gene per liter (nifH L-1))
UCYN_A2_DNQ (unitless)
UCYN_B_ave (nitrogenase gene per liter (nifH L-1))
... (11 more variables)


[SCCS Single Cell N2 Fixation Measurements] - Single cell N2 fixation measurements from UCYN-A symbiosis in the Southern California Current System from May 2017 (SP1714) and October (SP1724) SCCS cruises. (Collaborative Research: Biogeochemical significance of the abundant, uncultivated symbiotic cyanobacteria UCYN-A)

Single cell N2 fixation measurements from UCYN-A symbiosis in the Southern California Current System from May 2017 (SP1714) and October (SP1724) SCCS cruises.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
Station (unitless)
Latitude (degrees_north)
longitude (degrees_east)
nearshore_offshore (unitless)
Cell (unitless)
ROI (unitless)
PN (Femtomole Nitrogen per cell (fmol N cell-1))
at_15N (precentage (%))
individual_single_cell_N2_fixation_rate (Femtomole Nitrogen per cell per day (fmol N cell-1 d-1))
at_15N2_mean (precentage (%))
at_15N2_stdev (precentage (%))


[Sciaenid egg identification] - Identity of sciaenid eggs 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)

This dataset represents the identity (based on PCR results) of sciaenid eggs from the Gulf of Mexico Estuary near Port Aransas, Texas. Egg samples were collected from 20 August, 2020 through 8 March, 2022 from the research pier at UTMSI, located in the Aransas Pass inlet. Egg samples were collected bi-weekly during the Red Drum spawning season (August – December) and monthly outside the Red drum spawning season from two locations. Eggs were sorted by morphology to isolate sciaenid eggs and molecular PCR techniques were applied to subsamples of eggs to confirm the species identification.

cdm_data_type = Other
VARIABLES:
Egg_size (millimeters)
Collection_date (unitless)
UIN (unitless)
Site (unitless)
Latitude (degrees_north)
longitude (degrees_east)
DNA_extraction_date (unitless)
Date_analyzed (unitless)
Red_Drum (unitless)
Gulf_Kingfish (unitless)
Southern_Kingfish (unitless)
Spotted_Seatrout (unitless)
Atlantic_Croaker (unitless)
Black_Drum (unitless)


This dataset represents the identity (based on PCR results) of sciaenid eggs from the Gulf of Mexico Estuary near Port Aransas, Texas. Egg samples were collected from 20 August, 2020 through 8 March, 2022 from the research pier at UTMSI, located in the Aransas Pass inlet. Egg samples were collected bi-weekly during the Red Drum spawning season (August – December) and monthly outside the Red drum spawning season from two locations. Eggs were sorted by morphology to isolate sciaenid eggs and molecular PCR techniques were applied to subsamples of eggs to confirm the species identification.

cdm_data_type = Other
VARIABLES:
Egg_size (millimeters)
Collection_date (unitless)
UIN (unitless)
Site (unitless)
latitude (degrees_north)
longitude (degrees_east)
DNA_extraction_date (unitless)
Date_analyzed (unitless)
Red_Drum (unitless)
Gulf_Kingfish (unitless)
Southern_Kingfish (unitless)
Spotted_Seatrout (unitless)
Atlantic_Croaker (unitless)
Black_Drum (unitless)


[SCTLD-associated Symbiodiniaceae ITS-2] - NCBI Sequence Read Archive (SRA) accession numbers for raw fastq sequence files of ITS-2 amplicons collected from healthy and SCTLD-affected tissues of nine coral species in Florida, U.S.A. and the U.S. Virgin Islands from 2018-2020 (A multi-scale approach to predicting infectious multi-host disease spread in marine benthic communities)

These data include NCBI Sequence Read Archive (SRA) accession numbers for raw fastq files of internal transcribed spacer-2 (ITS-2) amplicons from 491 apparently healthy and stony coral tissue loss disease (SCTLD)-affected corals in Florida, U.S.A., and the United States Virgin Islands (USVI), representing nine coral species sampled in situ or during an SCTLD transmission experiment. From Florida, 215 samples were collected in situ from six epidemic sites in 2018. From the USVI, 110 samples were collected in situ from four reef sites in 2019-2020. Of the total samples, 325 were sampled in situ as sets of SCTLD-affected and apparently healthy conspecifics: two samples were collected from each diseased coral, one from tissue adjacent to the gross tissue loss lesion and one from apparently healthy tissue on the same coral; one sample was then collected from a nearby conspecific coral that was apparently healthy. The 166 remaining samples were originally collected from Rupert's Rock in the USVI, and samples were taken from these corals during a wet lab-based SCTLD transmission experiment. Understanding whether Symbiodiniaceae composition is predictive of disease state is crucial for managing SCTLD outbreaks, and these data permit investigations of how Symbiodiniaceae lineage-level dynamics may underlie variation in holobiont disease response. Florida samples were collected by Kerry Maxwell, Lindsay Huebner, Dr. Erinn M. Muller, and their teams at the Florida Fish & Wildlife Research Institute and Mote Marine Laboratory. USVI samples were collected by Dr. Marilyn Brandt, Sonora Meiling, Dr. Alex Veglia, Dr. Daniel Holstein, Dr. Laura Mydlarz, Dr. Amy Apprill, Dr. Adrienne Correa, and their teams. Danielle Lasseigne, Adam Glahn, Amanda Long, Bradley Arrington, Daniel Mele, Kathryn Cobleigh, Alexandra Gutting, Joseph Townsend, Naomi Huntley, Kelsey Beavers, Paul Barbera, Nate Berkebile, Tiffany Boisvert, Michael Bollinger, Katy Cummings, Amanda Ellis, Kristine Fisher, John Hart, Lauri Maclaughlin, Brian Reckenbeil, and Jennifer Stein assisted with field collections.

cdm_data_type = Other
VARIABLES:
sample (unitless)
coral_id (unitless)
sample_id (unitless)
health (unitless)
host_phylum (unitless)
host_class (unitless)
... (17 more variables)


[sds_page] - Experiments evaluating protein size distribution pattern in EPS Si+ and EPS Si2 using sodium dodecyl sulfate–polyacrylamide gel electrophoresis (Biopolymers as carrier phases for selected natural radionuclides (of Th, Pa, Pb, Po, Be) in diatoms and coccolithophores)

Laboratory studies were conducted to examine the sorption of selected radionuclides (234Th, 233Pa, 210Po, 210Pb, and 7Be) onto inorganic (pure silica and acid-cleaned diatom frustules) and organic (diatom cells with or without silica frustules) particles in natural seawater and the role of templating biomolecules and exopolymeric substances (EPS) extracted from the same species of diatom, Phaeodactylum tricornutum, in the sorption process. The range of partition coefficients (Kd, reported as logKd) of radionuclides between water and the different particle types was 4.78\u20136.69 for 234Th, 5.23\u20136.71 for 233Pa, 4.44\u20135.86 for 210Pb, 4.47\u20134.92 for 210Po, and 4.93\u20137.23 for 7Be, similar to values reported for lab and field determinations. The sorption of all radionuclides was significantly enhanced in the presence of organic matter associated with particles, resulting in Kd one to two orders of magnitude higher than for inorganic particles only, with highest values for 7Be (logKd of 7.2). Results further indicate that EPS and frustule-embedded biomolecules in diatom cells are responsible for the sorption enhancement rather than the silica shell itself. By separating radiolabeled EPS via isoelectric focusing, we found that isoelectric points are radionuclide specific, suggesting that each radionuclide binds to specific biopolymeric functional groups, with the most efficient binding sites likely occurring in acid polysaccharides, iron hydroxides, and proteins. Further progress in evaluating the effects of diatom frustule\u2013related biopolymers on binding,\r\nscavenging, and fractionation of radionuclides would require the application of molecular-level characterization techniques.

cdm_data_type = Other
VARIABLES:
Group (unitless)
EPS_Si_plus (Mass Concentration Of Silicate In Sea Water, nanomole per miligram (nmol/mg))
EPS_Si_minus (Mass Concentration Of Silicate In Sea Water, nanomole per miligram (nmol/mg))


[Sea surface microlayer trace element concentrations] - Sea surface microlayer trace element concentrations from Florida Keys National Marine Sanctuary from 2014-2015 (Vibrio-dust deposition project) (Vibrio as a model microbe for opportunistic heterotrophic response to Saharan dust deposition events in marine waters)

This dataset contains trace element concentrations from 2014 and 2015 in the sea surface microlayer and underlying water column for in-situ sampling in the from Florida Keys National Marine Sanctuary.

cdm_data_type = Other
VARIABLES:
year (unitless)
sample_id (unitless)
sml_uwc (unitless)
sample_type (unitless)
replicate (unitless)
date_time_UTC (unitless)
latitude (degrees_north)
longitude (degrees_east)
Al (micrograms per liter (ug/L))
Ti (micrograms per liter (ug/L))
V (micrograms per liter (ug/L))
Mn (micrograms per liter (ug/L))
Fe (micrograms per liter (ug/L))
Ni (micrograms per liter (ug/L))
Cu (micrograms per liter (ug/L))
Zn (micrograms per liter (ug/L))
Pb (micrograms per liter (ug/L))


[sea_fan_parasite_growth] - Experimental results on the growth of Aplanochytrium (a sea fan parasite) cells over a temperature gradient conducted at the Harvell lab at Cornell University (Influence of Temperature and Acidification on the Dynamics of Coral Co-Infection and Resistance)

Experimental results on the growth of Aplanochytrium (a sea fan parasite) cells over a temperature gradient. Two types of assays were used in two trials to quantify Labyrinthulomycota cultures: cell counts using a hemocytometer and total protein concentration.

cdm_data_type = Other
VARIABLES:
trial (unitless)
temp (Temperature, degrees C)
count_avg (# cells (unitless))
count_avg_se (# cells (unitless))
count_log10_avg (# cells (unitless))
count_log10_avg_se (# cells (unitless))
protein_avg (mg protein per culture)
protein_avg_se (mg protein per culture)
protein_log10_avg (mg protein per culture)
protein_log10_avg_se (mg protein per culture)
rep (unitless)
count (# cells (unitless))
protein (mg protein per culture)
count_log10 (# cells (unitless))
protein_log10 (mg protein per culture)


[sea_fan_survey] - Annual health surveys of the sea fan Gorgonia ventalina in La Parguera, Puerto Rico from 2006-2010 (Influence of Temperature and Acidification on the Dynamics of Coral Co-Infection and Resistance)

Health surveys of the sea fan Gorgonia ventalina were carried out from 2006 to 2010 at two coral reefs in La Parguera, Puerto Rico. The proportions of healthy and abnormal G. ventalina colonies along survey transects are reported.

cdm_data_type = Other
VARIABLES:
site (text)
latitude (degrees_north)
longitude (degrees_east)
year (unitless)
month (mm (01 to 12))
depth (m)
healthy_avg (%)
bleached_avg (%)
lg_purple_spts_avg (%)
MFPS_avg (%)
predation_avg (%)
other_avg (%)
healthy_avg_sd (%)
bleached_avg_sd (%)
lg_purple_spts_avg_sd (%)
MFPS_avg_sd (%)
predation_avg_sd (%)
other_avg_sd (%)
healthy (%)
bleached (%)
lg_purple_spts (%)
MFPS (%)
predation (%)
other (%)
MFPS_log10 (%)


[Seabird and marine mammal sightings] - Seabird and marine mammal observations from the Drake Passage transits aboard RV Laurence M Gould (LMG1410, LMG1504, LMG1509) and coastal zone operations from 2014 to 2015. (Pilot Study:  Addition of Biological Sampling to Drake Passage Transits of the "L.M. Gould")

Seabird and marine mammal observations from the Drake Passage transits aboard RV Laurence M Gould (LMG1410, LMG1504, LMG1509) and coastal zone operations from 2014 to 2015.

cdm_data_type = Other
VARIABLES:
deployment (unitless)
year (unitless)
month (unitless)
day (unitless)
hours (hours)
latitude (degrees_north)
longitude (degrees_east)


[Seabird Colony SST] - Monthly mean sea surface temperature (SST) around premier seabird colonies from 1981 to 2024 (Stratification impacts on seabirds project) (Global analysis of stratification impacts on seabirds through food resources )

This dataset provides monthly sea surface temperature (SST) data derived from three satellite-based sources: NASA MUR SST, UK Met Office OSTIA, and NOAA OISST. SST values were averaged within a 200-km radius around major seabird colony sites worldwide. These premier colonies are defined as locations where at least two seabird species have reproductive success records spanning 25 years or more and that are also frequented by other seabirds and marine mammals. The dataset spans varying temporal coverage from 1982 to 2024, depending on the source product. For each site, circular spatial masks were used to extract monthly mean SST, standard deviation, and the proportion of land area contained within each mask.

cdm_data_type = Other
VARIABLES:
date (unitless)
analysed_sst_mean (degrees Celsius)
analysed_sst_std (degrees Celsius)
mask_clip (unitless)
Sourced_SST_Data_Product (unitless)
Site_Name (unitless)
latitude (Site_latitude_degn, degrees_north)
longitude (Site_longitude_dege, degrees_east)
Year_Coverage_Range_Start (unitless)
Year_Coverage_Range_End (unitless)
Original_File_Name (unitless)


[Seaglider observations at Station ALOHA in the North Pacific Subtropical Gyre] - Depth profiles from Seagliders 146, 147, 148, 511, 512, and 626 in a total of 18 missions at Station ALOHA in the North Pacific Subtropical Gyre from 2008-2023 (Oligotrophic ocean metabolism from underwater glider observations)

This dataset includes over 20,000 depth profiles collected with underwater gliders in a total of 18 missions between 2008 and 2023. The glider missions were centered at the long-term sampling site of the Hawaii Ocean Time-series (HOT) program, Station ALOHA (22°45′N, 158°W), within the North Pacific Subtropical Gyre. The gliders were equipped with sensors to measure temperature, salinity, pressure, dissolved oxygen concentration, chlorophyll a concentration from fluorescence (excitation/emission lambda = 470/695 nm), and the particulate backscattering coefficient at three wavelengths (lambda = 470 nm, 700 nm, and either 650 or 660 nm depending upon mission). Vertical profiles down to at least 200 m were collected for all sensors over periods of several months per mission. Chlorophyll a and oxygen concentrations are calibrated with discrete observations. Particulate backscattering coefficients are corrected with an additional dark subtraction. This dataset differs from the raw data files in that it is quality controlled, calibrated, and corrected. Raw data files can be found at https://hahana.soest.hawaii.edu/seagliders/index.php. The glider observations were collected over the years by Dr. Karl, with different funding sources (including NSF) to investigate carbon cycle processes in the oligotrophic North Pacific Subtropical Gyre. Dr. Ferron and Dr. Barone received NSF funding to conduct a re-analysis of this comprehensive dataset in order to characterize metabolic rates and understand their patterns of variability. Dr. Garcia conducted the data processing that resulted in this curated dataset. Steve Poulos operated the Seagliders in all missions.

cdm_data_type = Other
VARIABLES:
seaglider_deployment (unitless)
seaglider_platform (unitless)
seaglider_mission (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
divenum (unitless)
direction (unitless)
temp (degrees Celsius)
... (13 more variables)


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

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

cdm_data_type = Other
VARIABLES:
date (unitless)
obs (unitless)
cluster (unitless)
cluster_lat (degrees_north)
longitude (Cluster_lon, degrees_east)
reef (unitless)
transect (unitless)
distance (meters (m))
subsample (unitless)
tt_shoot_count (per shoot)
tt_bladeheight_1 (millimeters (mm))
tt_bladeheight_2 (millimeters (mm))
tt_bladeheight_3 (millimeters (mm))
tt_bladeheight_4 (millimeters (mm))
tt_bladeheight_5 (millimeters (mm))
sf_shoot_count (per shoot)
sf_bladeheight_1 (millimeters (mm))
sf_bladeheight_2 (millimeters (mm))
sf_bladeheight_3 (millimeters (mm))
sf_bladeheight_4 (millimeters (mm))
sf_bladeheight_5 (millimeters (mm))


[Seagrass carbon nitrogen and isotopes] - Carbon, nitrogen and their isotope composition of eelgrass from Virginia Coastal Lagoons and turtlegrass from St George Sound FL (Toward an Improved Understanding of Blue Carbon: The Role of Seagrasses in Sequestering CO2)

This dataset includes results of carbon and nitrogen analyses on seagrasses collected in the Virginia Coastal Lagoons and from St. George Sound FL in May, 2017.

cdm_data_type = Other
VARIABLES:
Location (unitless)
latitude (degrees_north)
longitude (degrees_east)
Type_of_Material (unitless)
Sample_ID (unitless)
d13C (D13 C, unitless)
C_Amount_ug (micrograms)
d13C_Comment (D13 C Comment, unitless)
d15N (D15 N, unitless)
N_Amount_ug (micrograms)
Dry_Mass_mg (milligrams)
pcnt_C_g_per_gDW (Pcnt C G Per G DW, unitless (grams/grams))
pcnt_N_g_per_gDW (Pcnt N G Per G DW, unitless (grams/grams))
C_to_N (unitless (mol/mol))
d15N_Comment (D15 N Comment, unitless)
Tray_Name (unitless)
Well_Id (unitless)
Analysis (unitless)
OurLabID (Our Lab ID, unitless)
Analysis_Number (unitless)


[Seagrass fauna counts] - Fauna species count data from minnow trap sampling within seagrass in Summer 2017 in Back Sound, North Carolina (Collaborative Research: Habitat fragmentation effects on fish diversity at landscape scales: experimental tests of multiple mechanisms)

Fauna species count data from minnow trap sampling within seagrass in Summer 2017 in Back Sound, North Carolina.

cdm_data_type = Other
VARIABLES:
Date (unitless)
SiteID (Site ID, unitless)
C_F (unitless)
latitude (degrees_north)
longitude (degrees_east)
MinnowTrap_Num (Minnow Trap Num, unitless)
Species (unitless)
Scientific_name (unitless)
Species_Num (per individual)


[Seagrass fauna traits] - Trait data for epibenthic and infaunal seagrass macrofauna in North Carolina, USA from peer-reviewed literature and web-based identification guides (Collaborative Research: Habitat fragmentation effects on fish diversity at landscape scales: experimental tests of multiple mechanisms)

Trait data for epibenthic and infaunal seagrass macrofauna in North Carolina, USA from peer-reviewed literature and web-based identification guides.

cdm_data_type = Other
VARIABLES:
Taxon_name (unitless)
AphiaID (Aphia ID, unitless)
Primary_trophic_mode (unitless)
Refernece_code_for_primary_trophic_mode (unitless)
Microhabitat_use (unitless)
Reference_code_for_microhabitat_use (unitless)
Reproductive_mode (unitless)
Reference_code_for_reproductive_mode (unitless)
Larval_development (unitless)
Reference_code_for_larval_development (unitless)
Post_settlement_mobility (unitless)
Reference_code_for_post_settlement_mobility (unitless)
Maximum_body_size (millimeters(mm))
Reference_code_for_maximum_body_size (unitless)


[Seagrass Microbiome Data] -  (Collaborative Research: The role of a keystone pathogen in the geographic and local-scale ecology of eelgrass decline in the eastern Pacific)

This dataset includes sample collection information and sequence accessions for 16S rRNA amplicon sequencing of eelgrass leaf and surrounding water column bacteria from 32 eelgrass meadows across latitudes from 55 to 32° N in the Northeastern Pacific during July and August 2019.  Sequence Read Archive (SRA) Experiments and BioSamples can be accessed from the NCBI BioProject PRJNA802566 (https://www.ncbi.nlm.nih.gov/bioproject/PRJNA802566/)

Eelgrass, Zostera marina, is impacted by outbreaks of wasting disease caused by the opportunistic pathogen Labyrinthula zosterae. We investigated how Z. marina phyllosphere microbial communities vary with rising wasting disease lesion prevalence and severity relative to plant and meadow characteristics like shoot density, longest leaf length, and temperature across 23° latitude in the Northeastern Pacific. We sampled 32 eelgrass meadows across latitudes from 55 to 32° N in the Northeastern Pacific during July and August 2019. This range included six regions (AK=Alaska, BC=British Columbia, WA=Washington, OR=Oregon, BB=Bodega Bay Northern California, SD=San Diego Southern California), with 5–6 meadows per region. The location of each region is AK: N 55° 32' 27.124” W 133° 11' 1.0546, BC: N 51° 48' 30.1469” W 128° 13' 27.2182, WA: N 48° 36' 4.9725” W 122° 59' 56.4203, OR: N 44° 69 43.717” W 124° 89 22.7337, BB: N 38° 14' 30.3218” W 122° 58' 32.5723, SD: N 32° 47' 37.5929” W 117° 12' 57.1071”. We selected eelgrass meadows within each region that had consistently high cover of eelgrass in recent years.

cdm_data_type = Other
VARIABLES:
sample_title (unitless)
SampleType (unitless)
RegionName (unitless)
SiteCode (unitless)
TissueType (unitless)
LesionStatus (unitless)
collection_date (unitless)
LocationName (unitless)
TidalHeight (unitless)
Transect (unitless)
... (8 more variables)


[Seagrasses carbon nitrogen and isotopes - summary] - Summary of carbon and nitrogen concentrations and isotope ratios from samples of eelgrass from Virginia Coastal Lagoons and turtlegrass from St George Sound FL (Toward an Improved Understanding of Blue Carbon: The Role of Seagrasses in Sequestering CO2)

This dataset includes a summary of results of carbon and nitrogen analyses on seagrasses collected in the Virginia Coastal Lagoons and from St. George Sound FL. Mean carbon and nitrogen concentrations and their isotope ratios are reported for leaf and root/rhizome samples. Also reported are the standard deviation, standard error, number of samples in the means, and the 95% confidence limits.

cdm_data_type = Other
VARIABLES:
Location (unitless)
latitude (degrees_north)
longitude (degrees_east)
time (Date Collected, seconds since 1970-01-01T00:00:00Z)
Tissue (unitless)
value (unitless)
d13C (D13 C, unitless)
d15N (D15 N, unitless)
pcnt_C_g_per_gDW (Pcnt C G Per G DW, unitless (grams/grams))
pcnt_N_g_per_gDW (Pcnt N G Per G DW, unitless (grams/grams))
C_to_N (unitless)


[seaice] - Sea Ice data from ARSV Laurence M. Gould and RVIB Nathaniel B. Palmer cruises LMG0106, LMG0205, NBP0104, and NBP0204 in the Southern Ocean from 2001-2002 (SOGLOBEC project; Sea Ice Microbes project) (U.S. GLOBEC Southern Ocean)

Sea Ice data from ARSV Laurence M. Gould and RVIB Nathaniel B. Palmer cruises LMG0106, LMG0205, NBP0104, and NBP0204 in the Southern Ocean from 2001-2002 (SOGLOBEC project; Sea Ice Microbes project)

cdm_data_type = Other
VARIABLES:
cruiseid (unitless)
year (unitless)
month_gmt
day_gmt
time_gmt
latitude (degrees_north)
longitude (degrees_east)
ConT (Con T)
OpnWtrCode (Opn Wtr Code)
TrackDist (Track Dist)
IceCon1 (Ice Con1)
IType1Code (IType1 Code)
IThkns1
Flo1SzCode (Flo1 Sz Code)
Topo1Code (Topo1 Code)
SnoTyp1Code (Sno Typ1 Code)
SnoThkns1 (Sno Thkns1)
IceCon2 (Ice Con2)
IType2Code (IType2 Code)
IThkns2
Flo2SzCode (Flo2 Sz Code)
Topo2Code (Topo2 Code)
SnoTyp2Code (Sno Typ2 Code)
SnoThkns2 (Sno Thkns2)
IceCon3 (Ice Con3)
... (15 more variables)


[seal_ID_info] - Physical data (sex, weight, tag ID number) from Harbor Seals tagged in the San Juan Islands, 2007-2008 (Responses of Seals and Sea Lions to Increased Rockfish Density)

Physical and identifying info for Harbor Seals tagged and tracked in the San Juan Islands from 2007 to 2008; includes sex,  length, weight, pelage description, and tag ID numbers.

cdm_data_type = Other
VARIABLES:
seal_id (unitless)
season (text)
date (unitless)
month (unitless)
day (unitless)
year (unitless)
region (text)
site (text)
age (text)
sex (M or F)
length (cm)
weight (kg)
pelage (text)
pregnant (Y / N)
lactating (Y / N)
molt (Y / N)
blood (Y / N)
biopsy (Y / N)
inst (unitless)
serial_num (unitless)
inst2 (unitless)
serial_num2 (unitless)
pttno (unitless)
inst3 (unitless)
serial_num3 (unitless)
comment (text)


[seal_location_tracking] - Locations of satellite-tagged harbor seals in the San Juan Islands, WA from 2007-2009 (Responses of Seals and Sea Lions to Increased Rockfish Density)

Coordinates of tagged seals in the San Juan Islands are reported. Seals were captured and tagged during 2007 to 2009 at several sites in Padilla Bay and the Rosario Strait of the Pacific Northwest coast. Seals were tagged with satellite-linked time-depth recorders (TDR's) and GPS receivers.

cdm_data_type = Other
VARIABLES:
seal_id (unitless)
pttno (unitless)
inst (unitless)
latitude (degrees_north)
longitude (degrees_east)
lat2 (Latitude, decimal degrees)
lon2 (Longitude, decimal degrees)
month (mm)
day (dd)
year (unitless)
date (unitless)
time2 (Time, HHMM)
satellite (unitless)
loc_q_flaq (unitless)


[seal_prey_by_region] - Summary of prey groups found in harbor seal scat samples from the San Juan Islands analyzed at the Acevedo lab at Western Washington University during 2005-2008 (Seal_response_to_prey project) (Responses of Seals and Sea Lions to Increased Rockfish Density)

Frequency of occurrence of taxonomic groups of prey identified in harbor seal scat samples collected from 2005 to 2008, summarized by region and season. Four regions of the San Juan Islands of Washington state were sampled: Eastern Bays, Rosario Strait, San Juan Channel, and the Southern Strait of Georgia.

cdm_data_type = Other
VARIABLES:
taxon (text)
region (text)
season (text)
freq_of_occurrence (%)


[seal_prey_species_counts] - Counts of prey species found in harbor seal scat samples collected in the San Juan Islands from 2005-2008 (Seal_response_to_prey project) (Responses of Seals and Sea Lions to Increased Rockfish Density)

Counts of prey species found in harbor seal scat samples collected in the San Juan Islands from 2005-2008.

cdm_data_type = Other
VARIABLES:
species (text)
common_name (text)
family (text)
season (text)
count (integer)
pcnt_unweighted (%)


[Sealed Oyster Aquarium 15N Tracer, 15N2 and N2O] - N2O, 15N2, 15N tissue tracer in oyster aquariums (Oyster Reef N2O Emission project) (Microbial Regulation of Greenhouse Gas N2O Emission from Intertidal Oyster Reefs)

N2O, 15N2, 15N tissue tracer in oyster aquariums

cdm_data_type = Other
VARIABLES:
Timepoint (unitless)
Time_Days (days)
Hours (hours)
OA1_15N2 (OA1 15 N2, permil)
OA1_N2O (OA1 N2 O, nM)
OA1_O2 (mg/L)
OA1_Del15N_Digestive (OA1 Del15 N Digestive, permil)
OA1_Del15N_Meat (OA1 Del15 N Meat, permil)
OA2_15N2 (OA2 15 N2, permil)
OA2_N2O (OA2 N2 O, nM)
OA2_O2 (mg/L)
OA2_Del15N_Digestive (OA2 Del15 N Digestive, permil)
OA2_Del15N_Meat (OA2 Del15 N Meat, permil)
OA3_15N2 (OA3 15 N2, permil)
OA3_N2O (OA3 N2 O, nM)
OA3_O2 (mg/L)
OA3_Del15N_Digestive (OA3 Del15 N Digestive, permil)
OA3_Del15N_Meat (OA3 Del15 N Meat, permil)
CA1_15N2 (CA1 15 N2, permil)
CA1_N2O (CA1 N2 O, nM)
CA1_O2 (mg/L)
CA2_15N2 (CA2 15 N2, permil)
CA2_N2O (CA2 N2 O, nM)
CA2_O2 (mg/L)
CA3_15N2 (CA3 15 N2, permil)
CA3_N2O (CA3 N2 O, nM)
CA3_O2 (mg/L)


[SeapHOx Time-series] - Temperature, salinity, oxygen, and pH measured by SeapHOx sensors at two locations (Gulf coast of Florida near St. Teresa and VA Eastern Shore near Oyster, VA) and two heights in the water column (20 cm and 1.1 m) (Toward an Improved Understanding of Blue Carbon: The Role of Seagrasses in Sequestering CO2)

Temperature, salinity, oxygen, and pH measured by SeapHOx sensors at two locations (Gulf coast of Florida near St. Teresa and VA Eastern Shore near Oyster, VA) and two heights in the water column (20 cm and 1.1 m).

cdm_data_type = Other
VARIABLES:
site (unitless)
Year (unitless)
Month (unitless)
Day (unitless)
Hour (unitless)
Minute (unitless)
Second (unitless)
Temperature (degrees Celsius)
Salinity (Sea Water Practical Salinity, practical salinity units (PSU))
Oxygen (millilter per liter (mL/L))
pH_internal (P H Internal, unitless (pH scale))
pH_external (P H External, unitless (pH scale))
Temperature_seafet (degrees Celsius)
Pump (unitless)


[Seasonal fatty acid profiles of marine algae and invertebrates from Sitka Sound, Alaska in 2019] - Seasonal fatty acid profiles of marine algae and invertebrates from Sitka Sound, Alaska in 2019 (CAREER: Energy fluxes and community stability in a dynamic, high-latitude kelp ecosystem)

These data include fatty acid compositions of select marine macroalgae and macroinvertebrate grazers collected in Sitka Sound, Alaska in January 2019 and July 2019. Samples were collected using SCUBA at three sites, all within 6 km of each other in Sitka Sound: Harris Island (N 57.03165, W 135.27754), Breast Island (N 57.03896, W 135.33309), and Samsing Pinnacle (N 56.98750, W 135.35718). Sampled species included six seaweeds, including three Laminarian kelps (Ochrophyta) and three red algae from the Gigartinales and Ceramiales, that are present in both seasons in these sites: Neoagarum fimbriatum, Macrocystis pyrifera, Hedophyllum nigripes, Cryptopleura ruprechtiana, Opuntiella californica, and Osmundia spectabilis. They also include six macro-invertebrates (two each of gastropods, crustaceans, echinoderms) that are present and dominant herbivores in these sites: Haliotis kamtschatkana, Tegula pulligo, Pentidotea resecata, Pugettia producta, Mesocentrotus franciscanus, and Strongylocentrotus droebachiensis.
Understanding seasonal variation in fatty acid trophic biomarkers between dominant macrophyte resources and their benthic herbivores can help reveal how producers and their primary consumers may respond to future environmental change. These unique data from a high latitude kelp forest ecosystem were collected by a collaborative team of marine ecologists: Dr. Reyn Yoshioka, Dr. Aaron Galloway, Dr. Julie Schram, Dr. Kristy Kroeker, and Dr. Lauren Bell.

cdm_data_type = Other
VARIABLES:
sampleID (unitless)
season (unitless)
site (unitless)
Year_Month (unitless)
latitude (degrees_north)
longitude (degrees_east)
spCode (unitless)
type (unitless)
genus (unitless)
species (unitless)
LSID (unitless)
lengthDia_comment (unitless)
... (65 more variables)


[Seasonal iron biogeochemistry] - Pore water and solid phase iron geochemical data from a coastal Maine intertidal mudflat from November 2015 to November 2016 (Collaborative Research: The Role of Iron-oxidizing Bacteria in the Sedimentary Iron Cycle: Ecological, Physiological and Biogeochemical Implications)

Pore water and solid phase iron geochemical data from a coastal Maine intertidal mudflat from November 2015 to November 2016.

cdm_data_type = Other
VARIABLES:
site (unitless)
latitude (degrees_north)
longitude (degrees_east)
date (unitless)
depth (m)
sed_temp (degrees Celsius)
salinity (Sea Water Practical Salinity, practical salinity units)
ferrous_iron (micromoles per liter (umol/L))
poorly_crystalline_iron_oxide (micromoles per gram dry sediment (umol/g))


[Seasonal temperatures on Floridian coral reef] - In situ temperature data from August 2019 to May 2020 from one HOBO temperature logger deployed at Emerald Reef in Southeast Florida, USA (Collaborative Research: Assessing the changing symbiotic milieu on Caribbean coral reefs under climate change: magnitude, tradeoffs, interventions, and implications)

This dataset contains in situ temperature data from August 2019 to May 2020 from one HOBO temperature logger deployed at Emerald Reef at 7.8 meters depth in southeast Florida. Coral cores were collected from this reef and underwent experimental heat stress. In situ temperature data were used to inform seasonal temperature variation on this reef. The publication based on these data is Buzzoni, et al. (2023) (DOI: 10.1007/s00338-023-02428-x).

cdm_data_type = Other
VARIABLES:
ISO_DateTime_EST (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
Temp (degrees Celsius)
Latitude (degrees_north)
longitude (degrees_east)


[Seawater data] - Seawater data 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)

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

cdm_data_type = Other
VARIABLES:
Date (unitless)
Flume (unitless)
Salinity (Sea Water Practical Salinity, PSU)
Temp (Temperature, Celsius)
pH (Sea Water Ph Reported On Total Scale, pH)
pCO2 (P CO2, uatm)
TA (umol kgSW-1)
OmegaAragonite (Omega Aragonite, umol kgSW-1)
Paper (unitless)


[Seawater profiles of vanadium concentrations and isotope compositions] - Vanadium concentrations and isotope compositions of seawater samples collected from the South Atlantic Ocean (2010 UK GEOTRACES cruise GA10/D357 Leg 1) and the Black Sea (2013 MedBlack GEOTRACES cruise leg 2, 64PE373, R/V Pelagia) (Fingerprinting and Calibrating Low Oxygen Conditions Using Vanadium Isotopes)

These data include vanadium concentrations and isotope compositions of seawater samples from the South Atlantic Ocean (collected during the UK GEOTRACES cruise GA10/D357 Leg 1) and the shallow water columns in the Black Sea (collected during the leg 2 of the MedBlack GEOTRACES cruises, 64PE373, R/V Pelagia). The resin column chromatography method is utilized to purify vanadium. The vanadium concentrations were measured with the Agilent 7500ce Inductively Coupled Plasma Mass Spectrometry (ICP-MS) and Thermo Element 2 ICP‑MS, and the isotope compositions were measured with the Neptune Multi-collector-ICP-MS. These data assess the cycling of vanadium isotopes in seawater and were collected by Dr. Siqi Li at Florida State University.

cdm_data_type = Other
VARIABLES:
Cruise_ID (unitless)
Location (unitless)
Station (unitless)
Sample_ID (unitless)
longitude (degrees_east)
latitude (degrees_north)
Date (unitless)
depth (m)
Salinity (PSU)
Seawater_V_ng_g (nanograms per gram (ng/g))
Seawater_V_nmol_kg (nanomoles per kilogram (nmol/kg))
one_RSD (percent (%))
Seawater_V_normalized_nmol_kg (nanomoles per kilogram (nmol/kg))
Yielded_V (nanograms per gram)
Yielding_rate (percent (%))
d51V (per mil (‰))
two_SD (per mil (‰))
number_duplicates (unitless)


[Seawater Temperatures Prior to and During Outplant Experiment] - Seawater temperatures at study sites in the Gulf of Maine prior to and during an outplant experiment that was conducted from April to August 2021 (Local adaptation and the evolution of plasticity under predator invasion and warming seas: consequences for individuals, populations and communities)

This dataset contains seawater temperatures at study sites in the Gulf of Maine prior to and during an outplant experiment that was conducted from April to August 2021.

cdm_data_type = Other
VARIABLES:
PERIOD (unitless)
REGION (unitless)
SITE (unitless)
LATITUDE (degrees_north)
longitude (degrees_east)
DATE (unitless)
TEMPERATURE (degrees Celsius)