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

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

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


[FGB fate tracking] - Fate data for corals sampled at Flower Garden Banks from March 2023 to July 2024 (Collaborative Research: RAPID: A multi-scale approach to predicting coral disease spread: leveraging an outbreak on coral-dense isolated reefs)

Summary:
These data summarize the fates of sampled corals from an unknown coral disease outbreak at the Flower Garden Banks National Marine Sanctuary. In late August of 2022, an unidentified multi-species acute tissue loss disease with signs and species susceptibility characteristics reminiscent of white plague and/or Stony Coral Tissue Loss Disease (SCTLD) was documented at East and West Bank in the Flower Garden Banks (FGB, northwest Gulf of Mexico, GoM) by NOAA divers. Our interdisciplinary research team of ecologists, connectivity and disease modelers, microbiologists, and coral immunologists are using photomosaics and colony fate-tracking, molecular and microscopy approaches, as well as modeling of disease reservoirs and dispersal to better understand characteristics of this outbreak. A scientific cruise occurred March 5-10, 2023 to mark and collect samples from diseased and healthy corals at one site, Buoy 5, within the Flower Garden Banks National Marine Sanctuary. Thirty-two stony coral colonies were tagged for sampling. Tagging consisted of hammering a uniquely numbered cattle tag into adjacent dead substrate with a masonry nail. A total of 96 samples were collected from the 32 tagged colonies (species: Orbicella franksi, Porites astreoides, Pseudodiploria strigosa). A second scientific cruise took place June 30 to July 4, 2024, when sampled corals were relocated and their current health status was recorded. This dataset includes the health status of each coral at the time of sampling in March 2023, and its health characteristics in July 2024 if it was found.

cdm_data_type = Other
VARIABLES:
SpeciesID (unitless)
Species (unitless)
Tag_ID (unitless)
SampleDate (unitless)
SamplingHealthState (unitless)
MonitoringDate (unitless)
HealthState_2024 (unitless)
Length_cm_2024 (centimeters (cm))
Width_cm_2024 (centimeters (cm))
Height_cm_2024 (centimeters (cm))
Old_Mortality_pcnt_2024 (percent (%))
Rec_Mortality_pcnt_2024 (percent (%))


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

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

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


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

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

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


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

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

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


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

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

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

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

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


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

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

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


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

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

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

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


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

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

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

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


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

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

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


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

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

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


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

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

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

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

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

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

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

Relevant References:

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

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

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

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


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

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

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


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

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

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


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

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

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


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

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

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


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

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

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


[Fish eye lens chemistry] - Geochemical concentrations of elements measured in eye lenses of three Gulf of Mexico fish species collected from 2021-2023 (Collaborative Research: Shifting the Hypoxia Paradigm – New Directions to Explore the Spread and Impacts of Ocean/Great Lakes Deoxygenation)

Summary:
This dataset includes geochemical concentrations of elements measured in eye lenses of Atlantic Croaker, Red Drum, and Southern Flounder sampled in Matagorda Bay, Texas, USA.

cdm_data_type = Other
VARIABLES:
FishID (unitless)
Species (unitless)
time_elapsed (Time, seconds)
Li7 (parts per million (ppm))
B11 (parts per million (ppm))
Mg25 (parts per million (ppm))
S32 (parts per million (ppm))
S34 (parts per million (ppm))
Ca43 (parts per million (ppm))
Mn55 (parts per million (ppm))
Cu63 (parts per million (ppm))
Zn66 (parts per million (ppm))
Se78 (parts per million (ppm))
Sr88 (parts per million (ppm))
Hg199 (parts per million (ppm))
Hg202 (parts per million (ppm))
Pb208 (parts per million (ppm))
latitude (Station_latitude, degrees_north)
longitude (Station_longitude, degrees_east)
Date_Collected (unitless)


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

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

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


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

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

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


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

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

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


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

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

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


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

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

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


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

Summary:
Fish species survey from the Bahamas from 2009-2012.

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


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

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

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


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

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

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


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

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

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


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

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

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


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

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

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


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

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

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


[Florida and Caribbean Mangrove Geochemistry 2022-2024] - Sulfur, carbon, and iron biogeochemistry of biomass, below ground material, and dissolved organic matter from three mangrove ecosystems in the Caribbean and Florida collected over two field seasons in 2022 and 2024 (Carbon Storage in Mangrove Ecosystems via Abiotic Sulfurization)

Summary:
Here we provide data on the sulfur, carbon, and iron biogeochemistry of biomass, below ground material, and dissolved organic matter from three mangrove ecosystems in the Caribbean and Florida collected over two field seasons in 2022 and 2024. We provide elemental concentrations (organic C/N/S, Fe, pyrite) and isotopic compositions (δ13C, δ34S) of biomass, below ground material, and dissolved organic matter. Data will be useful for those interested in assessing organic matter sulfurization and pyrite formation in blue carbon ecosystems such as mangroves. Data will also be informative for researchers investigating organic and inorganic sulfur cycling. Samples were collected by Lena Capece and Morgan Raven, data were interpreted by Lena Capece and Morgan Raven.

cdm_data_type = Other
VARIABLES:
site (unitless)
latitude (degrees_north)
longitude (degrees_east)
year (unitless)
month (unitless)
habitat (unitless)
type (unitless)
depth_bsf (Depth, m)
OC (percent)
OC_e (percent)
SC (percent)
SC_e (percent)
CN (unitless)
CN_e (unitless)
d13C (per mille)
d13C_e (per mille)
d34S (per mille)
d34S_e (per mille)
pyrite_gc (percent)
pyrite_e (percent)
... (17 more variables)


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

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

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

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


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

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

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


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

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

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


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

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

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


[Flow cytometry data from Incurrent and Excurrent flow] - Flow cytometry data from Incurrent and Excurrent flow samples collected from shallow artificial reef sponges and seawater in the Florida Keys, USA from Apr 2021 to Aug 2021 (Collaborative Research: Investigations into microbially mediated ecological diversification in sponges)

Summary:
Sponges are a dominant component of coral reefs worldwide and in the Caribbean, where their biomass exceeds reef-building corals. For almost a quarter century, the success of sponges in the Caribbean has been linked to their filter-feeding ability. However, recent work demonstrated that coexisting sponges on Caribbean reefs host unique communities of bacteria that might allow sponges to access multiple pools of nutrients unavailable to other organisms. In this project, the investigators will test the hypothesis that ecologically dominant sponge species in the Caribbean have unique metabolic strategies mediated by their associations with microbes living within the sponge body. In this dataset, we present flow cytometry data for an artificial reef experiment where sponges of 10 species were placed on this temporary reef from April to August 2021 and sampled using a VacuSIP. VacuSIP methods capture incurrent (In) and excurrent (Ex) water from each sponge specimen. Incurrent represents the microbes available for the sponge to consume via filter feeding, and excurrent represents the microbes that remain once sponges have consumed their preferred taxa. Flow cytometry data was generated with the help of Bigelow Laboratory for Ocean Sciences. Samples were analyzed for the presence of photosynthetic microbes (Synechococcus, Prochlorococcus, photosynthetic eukaryotes) and heterotrophic bacteria (high nucleic acid and low nucleic acid). The present data represents raw data provided by the Bigelow Laboratory for Ocean Sciences, as well as the collection metadata, water sample type, and sponge species information.

cdm_data_type = Other
VARIABLES:
Collection_Date (unitless)
latitude (degrees_north)
longitude (degrees_east)
Sample_ID (unitless)
Species (unitless)
Species_Abbreviation (unitless)
In_or_Ex (unitless)
Replicate (unitless)
Collection_day (unitless)
TotPhyto_Conc (mL-1)
Syn_Conc (mL-1)
... (7 more variables)


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

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

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


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

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

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


[Flow Cytometry] - Flow cytometry data from samples collected from Orcas Island, WA, USA Coastal Ocean (2m depth) every four hours from 2021-05-28 to 2021-06-18 (Collaborative Research: Rhythm and Blooms: Deciphering metabolic, functional and taxonomic interactions over the life cycle of a phytoplankton bloom)

Summary:
This dataset contains Flow cytometry on samples collected from Orcas Island, WA, USA Coastal Ocean (2m depth) every four hours from 5/28/21 to 6/18/21 collected as part of the following study.

Study abstract

Floating, single-celled algae, or phytoplankton, form the base of marine food webs. When phytoplankton have sufficient nutrients to grow quickly and generate dense populations, known as blooms, they influence productivity of the entire food web, including rich coastal fisheries. The present research explores how the environment (nutrients) as well as physical and chemical interactions between individual cells in a phytoplankton community and their associated bacteria act to control the timing of bloom events in a dynamic coastal ecosystem. The work reveals key biomolecules within the base of the food web that can inform food web functioning (including fisheries) and be used in global computational models that forecast the impacts of phytoplankton activities on global carbon cycling. A unique set of samples and data collected in 2021 and 2022 that captured phytoplankton and bacterial communities before, during, and after phytoplankton blooms, is analyzed using genomic methods and the results are used to interrogate these communities for biomolecules associated with blooms stages. The team mentors undergraduates, graduate students, and postdoctoral researchers in the fields of biochemical oceanography, genome sciences, and time-series multivariate statistics. University of Washington organized hackathons to develop publicly accessible portals for the simplified interrogation and visualization of omics data, accessible to high schoolers and undergraduates. These portals are implemented in investigator-led undergraduate teaching modules in the University of Rhode Island Ocean Classroom. The research team also returns to Orcas Island, WA, where the field sampling takes place, to host a series of annual Science Weekends to foster scientific engagement with the local community.
Phytoplankton blooms, from initiation to decline, play vital roles in biogeochemical cycling by fueling primary production, influencing nutrient availability, impacting carbon sequestration in aquatic ecosystems, and supporting secondary production. In addition to influences from environmental conditions, the physical and chemical interactions among planktonic microbes can significantly modulate blooms, influencing the growth, maintenance, and senescence of phytoplankton. Recent work in steady-state open ocean ecosystems has shown that important chemicals are transferred amongst plankton on time-dependent metabolic schedules that are related to diel cycles. It is unknown how these metabolic schedules operate in dynamic coastal environments that experience perturbations, such as phytoplankton blooms. Here, the investigators are examining metabolic scheduling using long-term, diel sample sets to reveal how chemical and biological signals associated with the initiation, maintenance, and cessation of phytoplankton blooms are modulated on both short (hours) and long (days-weeks) time scales. Findings are advancing the ability to predict and manage phytoplankton dynamics, providing crucial insights into ecological stability and future oceanographic sampling strategies. Additionally, outcomes of this study are providing a new foundational understanding of the succession of microbial communities and their chemical interactions across a range of timescales. In the long term, this research has the potential to identify predictors of the timing of phytoplankton blooms, optimize fisheries management, and guide future research on carbon sequestration.

cdm_data_type = Other
VARIABLES:
Day (days)
... (25 more variables)


[Flume experiment  water chemistry July 2023] - Water chemistry and temperature measured within and above dense aggregation of mussels from a flume experiment conducted July 2023 (Collaborative Research: Microscale interactions of foundation species with their fluid environment: biological feedbacks alter ecological interactions of mussels)

Summary:
The project investigates how the metabolic activity of dense aggregations of marine organisms alter the water chemistry of their interstitial spaces, and how these microscale alterations feedback to affect the organisms' interactions in coastal ecosystems. The research evaluates whether corrosive chemical microclimates (such as low oxygen or low pH) are most extreme in low flow, high temperature conditions, especially for dense aggregations of mussels with large biomass and/or high respiration rates, and if they negatively impact mussel beds and the diverse biological communities they support. In order to address these questions, a flume experiment was conducted at Friday Harbor Laboratories where flow and chemical gradients were measured within and above a dense aggregation of mussels (Mytilus trossolus). Twenty profiles were taken over five days with 5 profiles taken for each of the four experimental flume speeds (0.25, 0.5, 1, and 1.5 inch/sec). Approximately 3-minute-long measurements were taken of velocity, dissolved oxygen, temperature, and pH every centimeter within the bed and two measurements were taken above the bed. Ambient conditions (dissolved oxygen, temperature, pH and conductivity) were also measured continuously using an array of HOBO loggers.

cdm_data_type = Other
VARIABLES:
Trial (unitless)
Day_of_week (unitless)
Flow_speed (centimeters per second (cm/s))
Elevation (centimeters (cm))
Pyro_Date_UTC (unitless)
Pyro_Dissolved_Oxygen (percent air saturation)
Pyro_Temp (degrees Celsius (°C))
Pyro_pH (dimensionless)
Pyro_Adj_DO (milligrams per liter (mg/L))
HOBO_Date_UTC (unitless)
HOBO_Temp_pH_sensor (dimensionless)
HOBO_pH_Millivolts (millivolts (mV))
HOBO_pH (dimensionless)
HOBO_DO_conc (milligrams per liter (mg/L))
... (9 more variables)


[Flume experiment Vectrino velocity and turbulence] - Velocity and turbulence measurements around a dense aggregation of mussels from a flume experiment conducted July 2023 (Collaborative Research: Microscale interactions of foundation species with their fluid environment: biological feedbacks alter ecological interactions of mussels)

Summary:
The project investigates how the metabolic activity of dense aggregations of marine organisms alter the water chemistry of their interstitial spaces, and how these microscale alterations feedback to affect the organisms' interactions in coastal ecosystems. The research evaluates whether corrosive chemical microclimates (such as low oxygen or low pH) are most extreme in low flow, high temperature conditions, especially for dense aggregations of mussels with large biomass and/or high respiration rates, and if they negatively impact mussel beds and the diverse biological communities they support. In order to address these questions, a flume experiment was conducted at Friday Harbor Laboratories where flow and chemical gradients were measured within and above a dense aggregation of mussels (Mytilus trossolus). Twenty profiles were taken over 5 days with 5 profiles taken for each of the four experimental flume speeds (0.25, 0.5, 1, and 1.5 inch/sec). Approximately 3-minute-long measurements were taken of velocity, dissolved oxygen, temperature, and pH every centimeter within the bed and two measurements were taken above the bed. Ambient conditions (dissolved oxygen, temperature, pH and conductivity) were also measured continuously using an array of HOBO loggers.

cdm_data_type = Other
VARIABLES:
Trial (unitless)
Day (unitless)
Date (unitless)
flume_speed (unitless)
flume_speed_inch_per_sec (inches per second (in/s))
flume_speed_cm_per_sec (centimeters per second (cm/s))
V1 (centimeters (cm))
V2 (centimeters per second (cm/s))
V3 (centimeters per second (cm/s))
V4 (centimeters per second (cm/s))
V5 (centimeters squared per second squared (cm^2/s^2))
V6 (centimeters squared per second squared (cm^2/s^2))
V7 (centimeters squared per second squared (cm^2/s^2))
V8 (centimeters squared per second squared (cm^2/s^2))
... (8 more variables)


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

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

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


[Foram EBSD datafiles] - Crystal orientation in subantarctic planktic foraminifera shells from EBSD analysis from collections in the sub-Antarctic south of South Africa between 1993 and 2016 (OCE-PRF: A submicron scale investigation of foraminifera-bound organic matter: implications for preservation and the paleo-δ15N proxy)

Summary:
Here we present crystal orientation maps from the shells of planktic foraminifera, calcifying marine protists (G. inflata and G. truncatulinoides), from the Subantarctic ocean (net-tows) and underlying surface sediments (core-tops). The goal was to investigate post-mortem alteration of shells that might affect paleo-proxy interpretation (i.e., diagenesis). Living specimens were collected by S. Smart on VOY016 (Jul–Aug 2015) and VOY019 (Apr–May 2016) of the R/V S.A. Agulhas II in the Subantarctic south of South Africa (Smart et al., 2020). The core-top sample (PS2489-4; from 42.883 °S, 8.968 °E, water depth 3795 m) was collected on ANT-XI/2 of the R/V Polarstern in December 1993 (Gersonde et al., 2003), and access was provided by the Alfred Wegener Institute (AWI) and Max Planck Institute for Chemistry (MPIC), Germany. Shells were mounted in epoxy, cross-sectioned and thinly gold-coated for Scanning Electron Microscopy-Electron Backscatter Diffraction (SEM-EBSD) analysis by S. Smart at the Central Analytical Facility of The University of Alabama, USA, between 2021 and 2024. A. Pérez-Huerta provided EBSD training and mentoring, J. Goodwin and R. Holler provided technical support, and H. Stowell and S.E. Fawcett assisted with interpretation.

cdm_data_type = Other
VARIABLES:
Folder_name (unitless)
File_name (unitless)
Site (unitless)
cruise_id (unitless)
latitude (degrees_north)
longitude (degrees_east)
time (Datetime_start_gmt, seconds since 1970-01-01T00:00:00Z)
DateTime_End_GMT (seconds since 1970-01-01T00:00:00Z)
depth (m)
Species (unitless)
Specimen (unitless)
Type (unitless)
Chamber (unitless)
Phase (unitless)
... (14 more variables)


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

Summary:
Absolute abundance of Foraminifera in Pacific Panama, 2019.

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


[Foraminiferal oxygen and carbon isotopes MAZ-1E-04] - Multispecies foraminiferal oxygen and carbon isotopes in the eastern Pacific through the last deglaciation determined from core MAZ-1E-04 collected on cruise MAZ-I aboard the R/V El Puma in April 2015 (Glacial-Interglacial Changes in Oxygen Minimum Zones Using Deep-Dwelling, Low-Oxygen Planktic Foraminifera)

Summary:
The structure and drivers of oxygen minimum zone (OMZ) evolution in the Eastern Tropical North Pacific (ETNP) are investigated from ~20.7-10 ka using a multi-proxy from core MAZ-1E-04 (22°54.29'N, 106°54.59'W; 1463 m depth). Understanding how OMZ vertical structure changed during past glacial/interglacial cycles will help elucidate the drivers and patterns of OMZ expansion/contraction on longer timescales.

Here, multispecies foraminiferal oxygen and carbon isotopes determined from core MAZ-1E-04 collected on cruise MAZ-I aboard the R/V El Puma in April 2015 are used to reconstruct OMZ vertical extent through the last deglaciation. Universidad Nacional Autónoma de México financed ship time and M. Alejandro Rodríguez Ramírez directed the oceanographic campaign to retrieve the core.

cdm_data_type = Other
VARIABLES:
Depth_core (centimeter (cm))
Age (years before present (ybp))
N_dutertrei_count (unitless)
N_dutertrei_weight (micrograms)
N_dutertrei_d18O (per mil)
N_dutertrei_d13C (per mil)
Uvigerina_spp_count (unitless)
Uvigerina_spp_weight (micrograms)
Uvigerina_spp_d18O (per mil)
Uvigerina_spp_d13C (per mil)
G_ruber_count (unitless)
G_ruber_weight (micrograms)
G_ruber_d18O (per mil)
G_ruber_d13C (per mil)
G_hexagonus_count (unitless)
G_hexagonus_weight (micrograms)
G_hexagonus_d18O (per mil)
G_hexagonus_d13C (per mil)


[Foraminiferal radiocarbon- MAZ-1E-04] - Radiocarbon measurements from planktic and benthic foraminifera in the eastern Pacific during the last deglaciation determined from core MAZ-1E-04 collected on cruise MAZ-I aboard the R/V El Puma in April 2015 (Glacial-Interglacial Changes in Oxygen Minimum Zones Using Deep-Dwelling, Low-Oxygen Planktic Foraminifera)

Summary:
The structure and drivers of oxygen minimum zone (OMZ) evolution in the Eastern Tropical North Pacific (ETNP) are investigated from ~20.7-10 ka using a multi-proxy from core MAZ-1E-04 (22°54.29'N, 106°54.59'W; 1463 m depth). Understanding how OMZ vertical structure changed during past glacial/interglacial cycles will help elucidate the drivers and patterns of OMZ expansion/contraction on longer timescales.

Here, radiocarbon measurements from planktic and benthic foraminifera from core MAZ-1E-04 collected on cruise MAZ-I aboard the R/V El Puma in April 2015 are used to construct an age model and calculate ventilation ages. Universidad Nacional Autónoma de México financed ship time and M. Alejandro Rodríguez Ramírez directed the oceanographic campaign to retrieve the core.

cdm_data_type = Other
VARIABLES:
Planktic_Core_Depth (centimeter (cm))
Planktic_species (unitless)
Planktic_weight (milligrams (mg))
Raw_planktic_14C (14C yr BP)
Planktic_14C_error_1_SD (14C yr BP)
Benthic_Core_Depth (centimeters (cm))
Benthic_species (unitless)
Benthic_weight (milligrams (mg))
Raw_Benthic_14C_Uvigerina_spp (14C yr BP)
Benthic_14C_error_1_SD (14C yr BP)
Ventilation_Age_B_Atm_14C (years)
Marine_Reservoir_Age (years)
MRA_corrected_planktic_14C (years)
Intcal20_corrected_planktic_14C (years before present (yr BP))
d14C (per mil)
Removed_from_analyses_flag (unitless)


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

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

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


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

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

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


[G. huxleyi CCMP371 alkaline phosphatase activity] - Alkaline phosphatase activity for G. huxleyi CCMP371 grown under low N and low P N:P ratios in laboratory-based culture experiments (Collaborative Research: Defining the role of the pan genome in Emiliania huxleyi ecology and biogeography)

Summary:
Gephyrocapsa huxleyi, a ubiquitous marine coccolithophore, plays a significant role in marine ecosystems and the global carbon cycle. Broadly, this project seeks to define the role of the pan-genome in G. huxleyi ecology and biogeography and provide insight into how this taxon's genotypic variability influences its biogeography and ecology, and ultimately how this genus may adapt to changing environmental conditions in the future ocean. This project leveraged the G. huxleyi pan-genome database to inform a series of additional laboratory-based culture experiments to relate genotype to phenotype in different strains under shifting response drivers, specifically nitrogen (N) and phosphorus (P). Here, we grew G. huxleyi CCMP371, a highly calcifying, axenic strain, under low N and low P conditions by modulating the dissolved inorganic nitrogen (DIN) to dissolved inorganic phosphorus (DIP) ratios. The CCMP371 experiment began as batch cultures until a maximum in vivo chlorophyll fluorescence was reached (based on a previous growth experiment; data contributed to BCO-DMO in this same project). At this point, an equal volume of culture was removed from triplicate flasks and replaced with an equal volume of modified L1/5-ASW, with an N:P of 0.5:1 (0.5 µM N and 1 µM P) for low N conditions. Likewise, an equal volume of culture was removed from triplicate flasks and replaced with an equal volume of L1/5-ASW, with an N:P of 125:1 (25 µM N and 0.2 µM P) for low P conditions. Dilutions continued until steady-state conditions, determined by microscopic cell counts, were reached. Once the low N and low P triplicate cultures reached steady state, samples were collected for a suite of physicochemical parameters, including alkaline phosphatase activity reported in this dataset. Alkaline phosphatase activity (APA) is a common physiological marker of P stress, where increased APA indicates a phenotypic shift toward the use of organic P sources. In this experiment, APA was used to confirm P-deficiency in the low P cultures relative to the low N cultures. These data were used to inform additional nutrient amendment experiments with G. huxleyi strains (reported elsewhere), and they can be used to better constrain existing tools, such as the Global Alkaline Phosphatase Activity Dataset (GAPAD).

cdm_data_type = Other
VARIABLES:
G_huxleyi_ID (unitless)
Experimental_Treatment (unitless)
Replicate (unitless)
APA_nmolP_cell_hour (nmol per cell per hour)


[G. huxleyi cell counts] - G. huxleyi cell count data from RCC874 and RCC914 N amendment laboratory-based culture experiment (Collaborative Research: Defining the role of the pan genome in Emiliania huxleyi ecology and biogeography)

Summary:
Environmental factors associated with climate change alter the interactions between bacteria and their algal hosts, known as the phycosphere, with broader implications for marine microbial community ecology. We examined the interactive effects of warming and nitrogen limitation on two strains of Gephyrocapsa huxleyi (RCC874 and RCC914), a widely abundant and physiologically flexible coccolithophore, and their phycospheres in response to N-replete and low N conditions. From daily cell counts derived from flow cytometry, we calculated the maximum exponential growth rate of these strains in culture to assess whether co-stress had a significant impact on growth rate.

cdm_data_type = Other
VARIABLES:
Date (unitless)
Well (unitless)
temp_c (degrees Celcius)
ConcCellmL (cells per mL)
n_conc (moles per liter (M))
strain (unitless)
rep (unitless)
day_number (day)


[G. huxleyi chlorophyll and photosynthetic efficiencies] - In vivo chlorophyll and photosynthetic efficiencies for G. huxleyi RCC874 and RCC914 N amendment laboratory-based culture experiment (Collaborative Research: Defining the role of the pan genome in Emiliania huxleyi ecology and biogeography)

Summary:
Environmental factors associated with climate change alter the interactions between bacteria and their algal hosts, known as the phycosphere, with broader implications for marine microbial community ecology. We examined the interactive effects of warming and nitrogen limitation on two strains of Gephyrocapsa huxleyi (RCC874 and RCC914), a widely abundant and physiologically flexible coccolithophore, and their phycospheres in response to N-replete and low N conditions. We measured in vivo chlorophyll a fluorescence and photosynthetic efficiency (Fv/Fm) to assess the impact of co-stress on G. huxleyi photophysiology.

cdm_data_type = Other
VARIABLES:
date (unitless)
temperature_c (degrees Celcius)
nitrogen (unitless)
strain (unitless)
replicate (unitless)
Fv_Fm (unitless)
F0 (unitless)
Fm (units)
chla_read (relative fluorescence units (RFUs))
dilution_factor (unitless)
chla_total (relative fluorescence units (RFUs))


[G. huxleyi genome growth data] - Laboratory-based growth studies with multiple G. huxleyi strains for genome sequencing (Collaborative Research: Defining the role of the pan genome in Emiliania huxleyi ecology and biogeography)

Summary:
Gephyrocapsa huxleyi, a ubiquitous marine coccolithophore, plays a significant role in marine ecosystems and the global carbon cycle. Broadly, this project seeks to define the role of the pan-genome in G. huxleyi ecology and biogeography and provide insight into how this taxon's genotypic variability influences its biogeography and ecology, and ultimately how this genus may adapt to changing environmental conditions in the future ocean. To construct a pan-genomic G. huxleyi database, 16 different G. huxleyi strains (CCMP1280, CCMP375, CCMP377, CCMP371, RCC3492, RCC4567, RCC1222, RCC847, RCC1256, RCC914, RCC1215, RCC1239, RCC3963, RCC1212, RCC6856, and RCC6071) obtained from national (NCMA) and international (Roscoff) culture collections were grown in the laboratory in 1 L nutrient-replete L1 media with a natural seawater base. Growth of each strain was monitored daily using in vivo chlorophyll a fluorescence, expressed as relative fluorescence units (RFUs), as a proxy for biomass. Exponential growth rates were also calculated for each strain from the linear portion of the growth curves. At the conclusion of each growth experiment, biomass was collected by filtration for DNA extraction and downstream genome sequencing (reported elsewhere). The growth data generated here supported the extraction of high-quality DNA for a pan-genome database (reported elsewhere) and additional culture experiments to relate genotype to phenotype in G. huxleyi strains under varying environmental conditions, including different nitrogen:phosphorus ratios, low nitrogen, and low phosphorus conditions (reported elsewhere). More broadly, the G. huxleyi growth data provided here can be used to inform primary productivity models to better parameterize inputs such as nutrient uptake, temperature sensitivity, and bloom duration.

cdm_data_type = Other
VARIABLES:
Day (day)
G_huxleyi_strain_ID (unitless)
G_huxleyi_rel_fluor_units_invivo_chl_a (relative fluorescence units (RFUs))
Blank_rel_fluor_units_invivo_chl_a (relative fluorescence units (RFUs))
G_huxleyi_rel_fluor_units_invivo_chla_blank_corrected (relative fluorescence units (RFUs))


[G. huxleyi maximum growth rates] - Maximum growth rates for G. huxleyi RCC874 and RCC914 N amendment laboratory-based culture experiment (Collaborative Research: Defining the role of the pan genome in Emiliania huxleyi ecology and biogeography)

Summary:
Environmental factors associated with climate change alter the interactions between bacteria and their algal hosts, known as the phycosphere, with broader implications for marine microbial community ecology. We examined the interactive effects of warming and nitrogen limitation on two strains of Gephyrocapsa huxleyi (RCC874 and RCC914), a widely abundant and physiologically flexible coccolithophore, and their phycospheres in response to N-replete and low N conditions. From daily cell counts derived from flow cytometry, we calculated the maximum exponential growth rate of the two strains in culture to assess whether co-stress had a significant impact on growth rate.

cdm_data_type = Other
VARIABLES:
Strain (unitless)
n_conc (moles per liter (M))
rep (unitless)
temp_c (degrees Celcius)
y0 (cells per mL)
mumax (cells per day)


[G. huxleyi particulate nutrients] - Particulate nutrients for G. huxleyi RCC874 and RCC914 N amendment laboratory-based culture experiment (Collaborative Research: Defining the role of the pan genome in Emiliania huxleyi ecology and biogeography)

Summary:
Environmental factors associated with climate change alter the interactions between bacteria and their algal hosts, known as the phycosphere, with broader implications for marine microbial community ecology. We examined the interactive effects of warming and nitrogen limitation on two strains of Gephyrocapsa huxleyi (RCC874 and RCC914), a widely abundant and physiologically flexible coccolithophore, and their phycospheres in response to N-replete and low N conditions. We measured the concentrations of particulate carbon, nitrogen, and phosphorus to understand the impact of co-stress on the cellular stoichiometry of G. huxleyi.

cdm_data_type = Other
VARIABLES:
Sample_date (unitless)
Parameter (unitless)
Result (various (see result_unit column))
Result_Unit (unitless)
MDL_RL (Method Detection Limit/Reporting limit.)
Method (unitless)
Method_of_preservation (unitless)
strain (unitless)
temp (degrees Celcius)
n_conc (unitless)
rep (unitless)


[G. huxleyi reactive oxygen] - Reactive oxygen species for G. huxleyi RCC874 and RCC914 N amendment laboratory-based culture experiment (Collaborative Research: Defining the role of the pan genome in Emiliania huxleyi ecology and biogeography)

Summary:
Environmental factors associated with climate change alter the interactions between bacteria and their algal hosts, known as the phycosphere, with broader implications for marine microbial community ecology. We examined the interactive effects of warming and nitrogen limitation on two strains of Gephyrocapsa huxleyi (RCC874 and RCC914), a widely abundant and physiologically flexible coccolithophore, and its phycosphere under nitrogen-replete and low-nitrogen conditions. Reactive oxygen species (ROS) are a by-product of metabolic processes and are produced in response to environmental stress. We measured the fluorescence of CM-H2DCFDA as an indicator of ROS in G. huxleyi to assess the impact of combined stressors on G. huxleyi physiology.

cdm_data_type = Other
VARIABLES:
date (unitless)
strain (unitless)
temperature_c (degrees Celcius)
nitrogen (unitless)
replicate (unitless)
fluorescence (relative fluorescence units (RFUs))


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

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

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


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

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

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


[GA13 Dissolved Th/Pa] - Dissolved Th/Pa measurements from CTD Niskin collected depth profiles from a GEOTRACES transect cruise along the Mid-Atlantic Ridge in the North Atlantic (GA13/JC156) (Dissolved Th/Pa from GEOTRACES transect GA13: tracers of hydrothermal scavenging)

Summary:
This dataset contains concentrations of dissolved thorium and protactinium isotopes (Th-232, Th-230, Pa-231) in seawater collected during the GEOTRACES transect cruise GA13 (JC156) in winter 2017-2018. Dissolved thorium and protactinum isotopes (Th-232, Th-230, and Pa-231) were analyzed as core parameters on GEOTRACES cruise transect GA13. This cruise transect focused on known hydrothermal venting sites along the mid-Atlantic ridge of the North Atlantic. The Th/Pa isotopes are excellent tracers of inorganic scavenging (chemical adsorption) onto hydrothermal particualte material and help demonstrate the impact particles can have on scavenging other trace metals of biogeochemical interest. A start-up grant from the University of Southern Missisippi funded the analysis at USM. The cruise was funded by the UK NERC.

cdm_data_type = Other
VARIABLES:
Station_ID (unitless)
Event_ID (unitless)
Start_Date_UTC (unitless)
latitude (Start_latitude, degrees_north)
longitude (Start_longitude, degrees_east)
Rosette_Position (unitless)
Sample_ID (unitless)
depth (Sample_depth, m)
Pa_231_D_CONC_BOTTLE_h01akr (micro-Becquerel per kilogram (uBq/kg))
SD1_Pa_231_D_CONC_BOTTLE_h01akr (micro-Becquerel per kilogram (uBq/kg))
Flag_Pa_231_D_CONC_BOTTLE_h01akr (unitless)
Th_230_D_CONC_BOTTLE_iiujzv (micro-Becquerel per kilogram (uBq/kg))
SD1_Th_230_D_CONC_BOTTLE_iiujzv (micro-Becquerel per kilogram (uBq/kg))
Flag_Th_230_D_CONC_BOTTLE_iiujzv (unitless)
Th_232_D_CONC_BOTTLE_xpr9pd (picomole per kilogram (pmol/kg))
SD1_Th_232_D_CONC_BOTTLE_xpr9pd (picomole per kilogram (pmol/kg))
Flag_Th_232_D_CONC_BOTTLE_xpr9pd (unitless)


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

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

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


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

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

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


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

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

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


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

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

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


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

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

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

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


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

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

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


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

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

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


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

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

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


[Genetic and morphological characters for haplosclerid sponges of Hawai'i] - Integrative taxonomy of introduced Haplosclerida and three new species of Haliclona sponges from Hawai'i based on samples collected from a variety of habitats on O'ahu from 2016 to 2022 (Testing the most striking tropical marine biodiversity gradient on the planet: does it hold for sponges?)

Summary:
This data supports the description of the following haplosclerida species in Hawai'i: Haliclona (Soestella) caerulea and Gelliodes conulosa sp. nov.,  Haliclona (Gellius) pahua sp. nov., Haliclona (Reniera) kahoe sp. nov., Haliclona (Rhizoniera) loe sp. nov. Accession numbers to mitochondrial and ribosomal RNA sequences are provided. Morphological data for each of the species are also provided.

cdm_data_type = Other
VARIABLES:
Species (unitless)
Type (unitless)
FMNH (unitless)
BPBM_cat_no (unitless)
Field_code (unitless)
COI_Genbank_acc_No (unitless)
Genbank_acc_No_28S (unitless)
Date (unitless)
latitude (degrees_north)
longitude (Long, degrees_east)
Oxeas_Length_um (micrometers)
Oxeas_Width_um (mircrometers)


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

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

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


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

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

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


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

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

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


[Glider observations from the southern Ross Sea] - Observations from two gliders deployed in the southern Ross Sea from November 2022 through January 2023 (NSFGEO-NERC: Collaborative Research – P2P: Predators to Plankton — Biophysical Controls in Antarctic Polynyas)

Summary:
Two gliders were launched in the southern Ross Sea and recorded data from November 2022 through January 2023 as part of the Plankton to Predators project. Sensors on the gliders included temperature, salinity, oxygen, fluorescence, optical backscatter and active acoustics; one glider had a photosynthetically active radiation (PAR) sensor and an passive acoustic monitoring sensor. From these data we quantified chlorophyll and particulate organic carbon concentrations, and also an estimate of krill and small fish (those data are not included in this submission). Data were decimated to 3-meter intervals for ease in analysis. The spatial extent of the glider observations ranged from 169.5–172.3°W and 77.4–76.4°S.

cdm_data_type = Other
VARIABLES:
Seaglider (unitless)
Dive (unitless)
latitude (degrees_north)
longitude (degrees_east)
Matlab_Time (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
depth (m)
Temperature (degrees Celsius)
Salinity (parts per thousand (ppt))
Backscatter_470nm (arbitrary units)
Backscatter_700nm (arbitrary units)
Fluorescence (arbitrary units)
Oxygen (micromoles per liter)
Oxygen_Saturation (micromoles per liter)
DACu (unitless)
DaCv (unitless)
PAR (uEin/m2/s)