[Sensor calibration data] - Factory and field calibration data for float oxygen, beam transmission, backscatter, chlorophyll fluorescence and CDOM sensors from the Sargasso Sea from 2013-2014. (Rapid, Autonomous Particle Flux Observations in the Oligotrophic Ocean)

Summary:
Optical proxy measurements of sinking particle flux and water-column bio-optical profiles were obtained from profiling floats in the Sargasso Sea to expand the number of particle flux observations in the critical and under-sampled \u201ctwilight zone\u201d. Factory and field calibration data for dissolved oxygen, beam transmission, optical backscatter, chlorophyll fluorescence and colored dissolved organic matter sensors are provided. Float oxygen, chlorophyll fluorescence, and backscatter sensors were additionally cross-calibrated to bottle samples for oxygen, HPLC chlorophyll, and particulate organic carbon collected during concurrent Bermuda Atlantic Time-series Study (BATS) cruises prior to months-long deployment of the floats in the Sargasso Sea.

cdm_data_type = Other
VARIABLES:
Float_profile (unitless)
Float_pressure (dbar)
Float_O2 (umol/kg)
Float_chla (Concentration Of Chlorophyll In Sea Water, ug/L)
Float_bbp (m -1)
Bottle_ID (unitless)
depth (BATS Depth, m)
BATS_O2 (umol/kg)
BATS_chla (Concentration Of Chlorophyll In Sea Water, ug/L)
BATS_POC (mg/meters cubed)


[Series 3A: cell abundance] - Series 3A: Multiple stressor experiments on T. pseudonana (CCMP1014) – cell abundance by flow cytometry (Collaborative Research: Effects of multiple stressors on Marine Phytoplankton)

Summary:
The experiments were designed to test the combined effects of three CO2 concentrations, four temperatures, and three light intensities on growth of the diatom T. pseudonana CCMP1014 in a multifactorial design. This dataset contains measurements of cell abundances measured by forward scatter.

cdm_data_type = Other
VARIABLES:
Phase (unitless)
CO2 (parts per million (ppm))
Temperature (degrees Celsius)
Day (unitless)
Replicate (unitless)
SOL_A_abund (cells/milliliter)
SOL_B_abund (cells/milliliter)
SOL_C_abund (cells/milliliter)
OL_A_abund (cells/milliliter)
OL_B_abund (cells/milliliter)
EL_A_abund (cells/milliliter)
EL_B_abund (cells/milliliter)
EL_C_abund (cells/milliliter)


[Series 3A: cell size] - Series 3A: Multiple stressor experiments on T. pseudonana (CCMP1014) - cell size estimated by forward scatter from  flow cytometry (Collaborative Research: Effects of multiple stressors on Marine Phytoplankton)

Summary:
The experiments were designed to test the combined effects of three CO2 concentrations, four temperatures, and three light intensities on growth of the diatom T. pseudonana CCMP1014 in a multifactorial design. This dataset contains measurements of cell size expressed as forward scatter as well as in equivalent spherical diameter (ESD) in microns.

cdm_data_type = Other
VARIABLES:
Phase (unitless)
CO2 (parts per million (ppm))
Temperature (degrees Celsius)
Day (unitless)
Replicate (unitless)
SOL_A_FSC (FSC relative units)
SOL_B_FSC (FSC relative units)
SOL_C_FSC (FSC relative units)
OL_A_FSC (FSC relative units)
OL_B_FSC (FSC relative units)
EL_A_FSC (FSC relative units)
EL_B_FSC (FSC relative units)
EL_C_FSC (FSC relative units)
SOL_A_ESD (micrometers)
SOL_B_ESD (micrometers)
SOL_C_ESD (micrometers)
OL_A_ESD (micrometers)
OL_B_ESD (micrometers)
EL_A_ESD (micrometers)
EL_B_ESD (micrometers)
EL_C_ESD (micrometers)


[Series 3A: DIC] - Series 3A: Multiple stressor experiments on T. pseudonana (CCMP1014) - Dissolved Inorganic Carbon (DIC) measurements (Collaborative Research: Effects of multiple stressors on Marine Phytoplankton)

Summary:
The experiments were designed to test the combined effects of three CO2 concentrations, four temperatures, and three light intensities on growth and photophysiology of the diatom T. pseudonana CCMP1014 in a multifactorial design. This dataset contains measurements of Dissolved Inorganic Carbon (DIC) made over the course of the experiments.

cdm_data_type = Other
VARIABLES:
Phase (unitless)
CO2 (parts per million (ppm))
Temp (Temperature, degrees Celsius)
Day (unitless)
Replicate (unitless)
SOL_A (micromol/kilogram)
SOL_B (micromol/kilogram)
SOL_C (micromol/kilogram)
OL_A (micromol/kilogram)
OL_B (micromol/kilogram)
EL_A (micromol/kilogram)
EL_B (micromol/kilogram)
EL_C (micromol/kilogram)


[Series 3A: Nutrients] - Series 3A: Multiple stressor experiments on T. pseudonana (CCMP1014) - Phosphate, silicate, and nitrate plus nitrite measurements (Collaborative Research: Effects of multiple stressors on Marine Phytoplankton)

Summary:
The experiments were designed to test the combined effects of three CO2 concentrations, four temperatures, and three light intensities on growth and photophysiology of the diatom T. pseudonana CCMP1014 in a multifactorial design. This dataset contains measurements of nutrients (phosphate, silicate, and nitrate plus nitrite) made over the course of the experiments.

cdm_data_type = Other
VARIABLES:
Phase (unitless)
CO2 (parts per million (ppm))
Temperature (degrees Celsius)
Day (unitless)
Replicate (unitless)
SOL_PO4 (Mass Concentration Of Phosphate In Sea Water, microMol)
OL_PO4 (Mass Concentration Of Phosphate In Sea Water, microMol)
EL_PO4 (Mass Concentration Of Phosphate In Sea Water, microMol)
SOL_SiO4 (SOL Si O4, microMol)
OL_SiO4 (OL Si O4, microMol)
EL_SiO4 (EL Si O4, microMol)
SOL_NO3_NO2 (Mole Concentration Of Nitrate In Sea Water, microMol)
OL_NO3_NO2 (Mole Concentration Of Nitrate In Sea Water, microMol)
EL_NO3_NO2 (Mole Concentration Of Nitrate In Sea Water, microMol)


[Series 3A: pH] - Series 3A: Multiple stressor experiments on T. pseudonana (CCMP1014) – pH measurements (Collaborative Research: Effects of multiple stressors on Marine Phytoplankton)

Summary:
The experiments were designed to test the combined effects of three CO2 concentrations, four temperatures, and three light intensities on growth and photophysiology of the diatom T. pseudonana CCMP1014 in a multifactorial design. This dataset contains measurements of pH made over the course of the experiments.

cdm_data_type = Other
VARIABLES:
Phase (unitless)
CO2 (parts per million (ppm))
Temp (Temperature, degrees Celsius)
Day (unitless)
Replicate (unitless)
SOL_A (unitless; pH scale)
SOL_B (unitless; pH scale)
SOL_C (unitless; pH scale)
OL_A (unitless; pH scale)
OL_B (unitless; pH scale)
EL_A (unitless; pH scale)
EL_B (unitless; pH scale)
EL_C (unitless; pH scale)


[Series 3A: photophysiology] - Series 3A: Multiple stressor experiments on T. pseudonana (CCMP1014) - photophysiology measurements (Collaborative Research: Effects of multiple stressors on Marine Phytoplankton)

Summary:
The experiments were designed to test the combined effects of CO2, temperatures, and light on the growth of the diatom T. pseudonana CCMP1014 in a multifactorial design. This dataset contains measurements of photophysiology using the Light curve (LC3) protocol of the Aquapen-C AP-C 100 fluorometer.

cdm_data_type = Other
VARIABLES:
CO2_expt (unitless)
Phase (unitless)
CO2 (parts per million (ppm))
Temperature (degrees Celsius)
Day (unitless)
Replicate (unitless)
Irradiance (unitless)
Fo (RFU (Relative Fluorscence Units))
Fm (RFU (Relative Fluorscence Units))
Fm_L1 (RFU (Relative Fluorscence Units))
Fm_L2 (RFU (Relative Fluorscence Units))
Fm_L3 (RFU (Relative Fluorscence Units))
Fm_L4 (RFU (Relative Fluorscence Units))
Fm_L5 (RFU (Relative Fluorscence Units))
Fm_L6 (RFU (Relative Fluorscence Units))
Fm_L7 (RFU (Relative Fluorscence Units))
Ft_L1 (RFU (Relative Fluorscence Units))
Ft_L2 (RFU (Relative Fluorscence Units))
Ft_L3 (RFU (Relative Fluorscence Units))
Ft_L4 (RFU (Relative Fluorscence Units))
Ft_L5 (RFU (Relative Fluorscence Units))
Ft_L6 (RFU (Relative Fluorscence Units))
Ft_L7 (RFU (Relative Fluorscence Units))
QY_max (unitless)
... (7 more variables)


[Series 3A: POC, PON, Chl a] - Series 3A: Multiple stressor experiments on T. pseudonana (CCMP1014) - Chlorophyll, particulate organic carbon and particulate organic nitrogen. (Collaborative Research: Effects of multiple stressors on Marine Phytoplankton)

Summary:
The experiments were designed to test the combined effects of CO2, temperatures, and light on growth and photophysiology of the diatom T. pseudonana CCMP1014 in a multifactorial design. This dataset contains measurements of extracted chlorophyll, particulate organic carbon (POC), and particulate organic nitrogen (PON) made over the course of the experiments.

cdm_data_type = Other
VARIABLES:
Phase (unitless)
CO2 (parts per million (ppm))
Temp (Temperature, degrees Celsius)
Day (unitless)
Light (micromol photons/meter^2/second (umol photons · m-2 · s-1))
Replicate (unitless)
Reference_Label (unitless)
C_ug (micrograms/milliliter)
N_ug (micrograms/milliliter)
Flags (unitless)
C_detect_lim (micrograms/milliliter)
N_detect_lim (micrograms/milliliter)
Volume_filtered (milliliters)
Chl_a_pg_L (Concentration Of Chlorophyll In Sea Water, picograms/liter)


[Series 4: Aggregation of Thalassiosira weissflogii as a function of pCO2, temperature and bacteria: Acclimatization Phase - Carbonate System] - Aggregation of Thalassiosira weissflogii as a function of pCO2, temperature, and bacteria - Acclimatization Phase - Carbonate System from UCSB MSI Passow Laboratory from 2009 to 2010 (OA - Ocean Acidification and Aggregation project) (Will Ocean Acidification Diminish Particle Aggregation and Mineral Scavenging, Thus Weakening the Biological Pump? )

Summary:
Series 4: Aggregation of Thalassiosira weissflogii as a function of pCO2,
temperature and bacteria: Acclimatisation Phase - Carbonate System

Related Reference:
[Aggregation and Sedimentation of Thalassiosira weissflogii (diatom) in a
Warmer and More Acidified Future
Ocean](\\http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0112379\\)

cdm_data_type = Other
VARIABLES:
Lab_Id (text)
latitude (degrees_north)
longitude (degrees_east)
Temp (Temperature, degrees C)
pCO2 (P CO2, text)
sampling_date (unitless)
day_of_acclimatisation (integer)
pH_at_25C (P H At 25 C, total scale)
DIC (umol/kgSW)
TA (umol/kgSW)
Salinity (Sea Water Practical Salinity, ppt)
growth_rate (u per day)


[Series 4: Aggregation of Thalassiosira weissflogii as a function of pCO2, temperature and bacteria: Acclimatization Phase - Cell Counts] - Aggregation of Thalassiosira weissflogii as a function of pCO2, temperature and bacteria - Acclimatization Phase - Cell Counts from UCSB MSI Passow Lab from 2009 to 2010 (OA - Ocean Acidification and Aggregation project) (Will Ocean Acidification Diminish Particle Aggregation and Mineral Scavenging, Thus Weakening the Biological Pump? )

Summary:
Series 4: Aggregation of Thalassiosira weissflogii as a function of pCO2,
temperature and bacteria: Acclimatisation Phase - Cell Counts

Related Reference:
[Aggregation and Sedimentation of Thalassiosira weissflogii (diatom) in a
Warmer and More Acidified Future
Ocean](\\http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0112379\\)

cdm_data_type = Other
VARIABLES:
Lab_Id (text)
latitude (degrees_north)
longitude (degrees_east)
Temp (Temperature, degrees C)
pCO2 (P CO2, text)
sampling_date (unitless)
day_of_acclimatisation (integer)
diatom_cell_count (number)
dilution_factor ((tbd))


[Series 4: Aggregation of Thalassiosira weissflogii as a function of pCO2, temperature and bacteria: Aggregation Phase - Carbonate System + TEP] - Aggregation of Thalassiosira weissflogii as a function of pCO2, temperature, and bacteria - Aggregation Phase - Carbonate System + TEP from UCSB MSI Passow Lab from 2009 to 2010 (OA - Ocean Acidification and Aggregation project) (Will Ocean Acidification Diminish Particle Aggregation and Mineral Scavenging, Thus Weakening the Biological Pump? )

Summary:
Series 4: Aggregation of Thalassiosira weissflogii as a function of pCO2,
temperature and bacteria: Aggregation Phase - Carbonate System + TEP

Related Reference:
[Aggregation and Sedimentation of Thalassiosira weissflogii (diatom) in a
Warmer and More Acidified Future
Ocean](\\http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0112379\\)

cdm_data_type = Other
VARIABLES:
Lab_Id (text)
latitude (degrees_north)
longitude (degrees_east)
Temp (Temperature, degrees C)
pCO2 (P CO2, text)
HP15_addition (text)
sampling_point (hours)
fraction (text)
replicate (dimensionless)
pH_at_25C (P H At 25 C, total scale)
DIC (umol/kgSW)
TA (umol/kgSW)
Salinity (Sea Water Practical Salinity, ppt)
TEP_Avg (ug Gxeq/L)
TEP_Std (ug Gxeq/L)


[Series 4: Aggregation of Thalassiosira weissflogii as a function of pCO2, temperature and bacteria: Aggregation Phase - Sinking Velocity] - Aggregation of Thalassiosira weissflogii as a function of pCO2, temperature and bacteria - Aggregation Phase - Sinking Velocity from a from 2009 to 2010 (OA - Ocean Acidification and Aggregation project) (Will Ocean Acidification Diminish Particle Aggregation and Mineral Scavenging, Thus Weakening the Biological Pump? )

Summary:
Series 4: Aggregation of Thalassiosira weissflogii as a function of pCO2,
temperature and bacteria: Aggregation Phase - Sinking Velocity

Related Reference:
[Aggregation and Sedimentation of Thalassiosira weissflogii (diatom) in a
Warmer and More Acidified Future
Ocean](\\http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0112379\\)

cdm_data_type = Other
VARIABLES:
Lab_Id (text)
latitude (degrees_north)
longitude (degrees_east)
Temp (Temperature, degrees C)
pCO2 (P CO2, text)
HP15_addition (text)
sampling_point (hrs)
fraction (text)
agg_num_per_tank (count/tank)
ESD (mm)
Velocity (meters/day)


[settlement abundance] - Relative abundance of suspension-feeding invertebrates and algae in pacific Panama, 2016-2018 (Collaborative Research: Climate Change, Mesoscale Oceanography, and the Dynamics of Eastern Pacific Coral Reefs)

Summary:
This dataset includes relative abundances of suspension-feeding invertebrates and algae in pacific Panama during five time periods between March 2016 and March 2018. [2019-09-11/njc]

cdm_data_type = Other
VARIABLES:
Period (unitless)
Site (unitless)
Gulf (unitless)
ID (unitless)
latitude (degrees_north)
longitude (degrees_east)
Orientation (unitless)
Cirripedia (unitless)
Spirorbid (unitless)
Serpulid (unitless)
Total_Polychaete (unitless)
Vermetid (unitless)
Other_gastropod (unitless)
Total_Gastropods (unitless)
Coral_byrozoan (unitless)
Tubulipora_bryozoan (unitless)
Aggregate_byrozoan (unitless)
Other_bryozoan (unitless)
Total_bryozoan (unitless)
Smooth_ascidian (unitless)
Other_ascidian (unitless)
Total_ascidian (unitless)
Corallinales (unitless)
Macro_algae (unitless)
Film_algae (unitless)
Tot_algae (unitless)
Weight (grams)
Weight_48hr (grams)
Notes (unitless)


[Settlement] - Blue mussel (Mytilus edulis) settlement data from settlement plates in coastal eastern Maine from 2014 to 2016 (MuLTI-2 project) (An integrated theoretical and empirical approach to across-shelf mixing and connectivity of mussel populations)

Summary:
Blue mussel (Mytilus edulis) settlement data from settlement plates in coastal eastern Maine from 2014 to 2016.

cdm_data_type = Other
VARIABLES:
Station_Code (unitless)
Year (unitless)
Sampling_Event (unitless)
Plate_Number (unitless)
Date_Deployment_Midpoint (unitless)
Deployment_Length (unitless)
Total_Settlers (unitless)
Settler_Density (settled mussels per cm^2)
Daily_Settler_Density (settled mussels per cm^2)


[Settling response of sand dollar D.excentricus to turbulence (BMC Zoology)] - Experimental results of turbulence-exposed sand dollar Dendraster excentricus larvae and their response to a variety of settlement cues (Turbulence-spurred settlement: Deciphering a newly recognized class of larval response)

Summary:
Experimental results of turbulence-exposed sand dollar Dendraster excentricus larvae and their response to a variety of settlement cues.

cdm_data_type = Other
VARIABLES:
figure (unitless)
competence (unitless)
date_expt (unitless)
species (unitless)
rpm (rotations per minute)
replicate (unitless)
dpf (days)
cue (unitless)
number_larvae (larvae)
number_settled (larvae)
number_settled_0hr (larvae)
number_settled_1hr (larvae)
number_settled_16hr (larvae)
number_on_bottom (larvae)
number_settled_1_5hr (larvae)
number_settled_8hr (larvae)
number_settled_18hr (larvae)


[Sex ratio averages by location] - Sex ratio averages by location in M. beryllina collected in Suisun Bay, California from 2012 to 2013. (Impacts of size-selective mortality on sex-changing fishes)

Summary:
Sex ratio averages by location in M. beryllina collected in Suisun Bay, California from 2012 to 2013.

cdm_data_type = Other
VARIABLES:
Site (unitless)
Total_adults (count)
Sex_ratio (unitless)
variance_factor (unitless)
Z (unitless)
lower (unitless)
upper (unitless)


[Shark dive profiles] - Temperature-depth profiles from archival tags deployed on basking sharks tagged from F/V Ezyduzit in the Northwest Atlantic Ocean from 2004-2011 (Basking Shark Geochem Tracers project) (Resolving Migratory Connectivity of Basking Sharks (Cetorhinus maximus) in the Western Atlantic Ocean: Integrating Novel Geochemical Tracers with Satellite Archival Tags)

Summary:
This dataset contains pop-up satellite archival transmitting (PSAT) tag data for 25 individual basking sharks tagged in the North Atlantic Ocean in 2004-2011. Platform terminal transmission (PTT) numbers are used as individual identification numbers throughout the dataset. Unique identification (UID) numbers provide a daily index value.

cdm_data_type = Other
VARIABLES:
ptt (dimensionless)
date (unitless)
uid (dimensionless)
day (dd (01 to 31))
month (mm (01 to 12))
year (unitless)
depth (m)
temp_min (degrees Celsius)
temp_max (degrees Celsius)
temp_mean (degrees Celsius)


[Shark track estimates] - Most probable track estimates from basking sharks tagged from F/V Ezyduzit in the Northwest Atlantic Ocean from 2004-2011 (Basking Shark Geochem Tracers project) (Resolving Migratory Connectivity of Basking Sharks (Cetorhinus maximus) in the Western Atlantic Ocean: Integrating Novel Geochemical Tracers with Satellite Archival Tags)

Summary:
This dataset contains the most probable track estimates for 25 individual basking sharks tagged with pop-up satellite archival transmitting (PSAT) tags in the North Atlantic Ocean in 2004-2011. Platform terminal transmission (PTT) numbers are used as individual identification numbers throughout the dataset.

cdm_data_type = Other
VARIABLES:
ptt (dimensionless)
tuid (dimensionless)
year (unitless)
month (mm (01 to 12))
day (dd (01 to 31))
longitude (degrees_east)
latitude (degrees_north)
date (unitless)
type (dimensionless)
depth_min (Depth, meters)
temp_depth_min (degrees Celsius)
depth_max (Depth, meters)
depth_range (Depth, meters)
tsst (degrees Celsius)


[Shell dissolution data for Mytilus californianus] - Shell dissolution data for Mytilus californianus from March to July 2020 (OA decoupling project) (Invertebrate calcification and behavior in seawater of decoupled carbonate chemistry)

Summary:
This dataset supports the main incubation data. These data document shell dissolution rates for Mytilus californianus which were used to convert net calcification rates of mussels into gross calcification rates.

cdm_data_type = Other
VARIABLES:
species (unitless)
AphiaID (unitless)
LSID (unitless)
module (unitless)
datetime_local (unitless)
start_time_local (unitless)
ISO_Start_DateTime_UTC (unitless)
duration (hours)
salinity (PSU)
temperature (degrees Celcius)
shell_mass (grams (g))
TA (umol kg-1)
ph (unitless)
hco3 (umol kg-1)
co3 (umol kg-1)
omega (unitless)
co2 (umol kg-1)
pco2 (uatm)
dic (umol kg-1)
incubation_water_mass (kilograms (kg))
delta_ta (umol kg-1)
diss_rate (umol hr-1 g-1)


[Shell thickness of mussel recruits] - Shell thickness of mussel recruits quantified in two species, Mytilus trossulus and Mytilus californianus (Coastal mosaics of local adaptation and the eco-evolutionary dynamics of a marine predator-prey interaction)

Summary:
Mussels are common on rocky shores along the west coast of North America and are prey to a number of species, including the Channeled Dogwhelk, Nucella canaliculata. When N. canaliculata hatch, they are dependent on a supply of newly recruited prey that are variable in abundance. To determine the strength of selection that early-life diet may impose on juvenile dogwhelks, recruit mussel shell thickness was quantified for two mussel species, Mytilus trossulus and Mytilus californianus. In addition, recruit M. californianus were collected from two locations, Bodega Marine Reserve and Soberanes Point, known to differ in the thickness of adult M. californianus.

cdm_data_type = Other
VARIABLES:
Mussel_Number (unitless)
Mussel_Type (unitless)
Site_Latitude (degrees_north)
longitude (Site_longitude, degrees_east)
Weight (grams (g))
Magnification (unitless)
Length_L (millimeters (mm))
Length_R (millimeters (mm))
Area_L (square millimeters (mm^2))
Area_R (square millimeters (mm^2))
Total_Area (square millimeters (mm^2))
Shell_Thickness (grams per square millimeter (g/(mm^2)))
Notes (unitless)


[Shipboard aerosol and rain sample nutrients and iron] - Nutrients and iron in shipboard aerosol and rain samples collected during R/V Hugh R. Sharp cruise HRS1414 in the Mid-Atlantic Bight and northern South-Atlantic Bight from July to August of 2014 (DANCE project) (Collaborative Research: Impacts of atmospheric nitrogen deposition on the biogeochemistry of oligotrophic coastal waters)

Summary:
Shipboard aerosol and rain samples were collected during R/V Hugh R. Sharp cruise HRS1414 offshore in the Mid-Atlantic Bight and northern South-Atlantic Bight from July to August of 2014.  Samples were analyzed for nutrients and iron.

cdm_data_type = Other
VARIABLES:
Sample_ID (unitless)
Comment (unitless)
Date (unitless)
Duration (minutes)
latitude (Start Lat, degrees_north)
End_Lat (decimal degrees)
longitude (Start Long, degrees_east)
End_Long (decimal degrees)
Air_Volume (meters cubed (m3))
DFe (nanomoles per liter (nmol/L))
Sol_Aer_Fe (nanomoles per meter cubed (nmol/m3))
TFe (nanomoles per liter (nmol/L))
Tot_Aer_Fe (nanomoles per meter cubed (nmol/m3))
NO3_NO2 (micromoles per liter (umol/L))
Sol_Aer_NO3_NO2 (Mole Concentration Of Nitrate In Sea Water, nanomoles per meter cubed (nmol/m3))
PO4 (micromoles per liter (umol/L))
Sol_Aer_PO4 (nanomoles per meter cubed (nmol/m3))
NH4 (Mole Concentration Of Ammonium In Sea Water, micromoles per liter (umol/L))
Sol_Aer_NH4 (Mole Concentration Of Ammonium In Sea Water, nanomoles per meter cubed (nmol/m3))


[Shipboard bioassay experiments] - Dissolved inorganic nitrogen, chlorophyll-a, and primary production from bioassay experiments during the R/V Hugh R. Sharp cruise HRS1414 in the Mid and South-Atlantic Bight in August of 2014 (DANCE project) (Collaborative Research: Impacts of atmospheric nitrogen deposition on the biogeochemistry of oligotrophic coastal waters)

Summary:
Three bioassay experiments were conducted in August of 2014 during the R/V Hugh R. Sharp cruise HRS1414 which generated measurements of dissolved inorganic nitrogen, chlorophyll-a and primary productivity.  Treatments included various nutrient (N,Fe,P) additions and rainwater.\r\n\r\nThis dataset was utilized in the following publication:\r\nSedwick. P. N., et al. \Assessing phytoplankton nutritional status and potential impact of wet deposition in seasonally oligotrophic waters of the Mid-Atlantic Bight.\ Geophysical Research Letters (2018): doi: 10.1002/2017GL075361

cdm_data_type = Other
VARIABLES:
experiment (unitless)
treatment (unitless)
time2 (Time, hours)
mean_NO3_NO2 (Mole Concentration Of Nitrate In Sea Water, micromoles per liter (umol/L))
SD_NO3_NO2 (micromoles per liter (umol/L))
mean_NH4 (micromoles per liter (umol/L))
SD_NH4 (micromoles per liter (umol/L))
mean_Chl_a (Concentration Of Chlorophyll In Sea Water, micrograms per liter (mg/L))
SD_Chl_a (micrograms per liter (mg/L))
mean_PP (micromoles C per liter per day (umol C/L/d))
SD_PP (micromoles C per liter per day (umol C/L/d))


[Shipboard incubations SKQ202209S] - Concentrations of dissolved inorganic macronutrients, chlorophyll a, phaeophytin, PON, and POC measured during phytoplankton shipboard incubation experiments on the FeOA cruise SKQ202209S on R/V Sikuliaq in the NE Pacific from June to July 2022 (Collaborative Research: The Effect of Ocean Acidification on Fe Availability to Phytoplankton in Coastal and Oceanic Waters of the Eastern North Pacific)

Summary:
This dataset includes the concentrations of dissolved inorganic macronutrients (phosphate, nitrate plus nitrite (N+N), silicic acid, and nitrite), chlorophyll a and phaeophytin, and particulate organic nitrogen and carbon measured shipboard in samples collected from phytoplankton shipboard incubation experiments conducted on the FeOA cruise SKQ202209S on R/V Sikuliaq in the Northeast Pacific from June to July 2022.

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

cdm_data_type = Other
VARIABLES:
FeOA_NBR (unitless)
ISO_DateTime_Start_Local (unitless)
time (Iso_datetime_start_utc, seconds since 1970-01-01T00:00:00Z)
ISO_DateTime_Stop_Local (unitless)
ISO_DateTime_Stop_UTC (seconds since 1970-01-01T00:00:00Z)
latitude (Collection_latitude, degrees_north)
longitude (Collection_longitude, degrees_east)
PLATFORM (unitless)
STNNBR (unitless)
INCNBR (unitless)
INCDAY (unitless)
INCTREATMENT (unitless)
BTLNBR_INC (unitless)
... (40 more variables)


[Shoots sampled for whole genome sequencing] - Shoot measurements (sheath length and width) for the eelgrass (Zostera marina) shoots sampled for whole genome sequencing collected from Bodega and Tomales Bay, CA, USA from July to September 2019 (Using genomics to link traits to ecosystem function in the eelgrass Zostera marina)

Summary:
This dataset provides shoot measurements for the shoots sampled for whole genome sequencing for Tomales Bay and Bodega Harbor (see related datasets for access to sequence data). Sheath width is measured on the terminal shoot using calipers at the abscission point (point where leaves emerge from the sheath). Sheath length is measured using a ruler to the nearest mm from the base to the abscission point. These data were used to record any differences in plant phenotype among the populations sampled.  Shoot Length was not measured since it is susceptible to breakage and density was not measured as we could not ascribe density to a genetic individual.

cdm_data_type = Other
VARIABLES:
INDV (unitless)
SITE (unitless)
collection_date (unitless)
Latitude (degrees_north)
longitude (degrees_east)
sheath_length (millimeters (mm))
sheath_width (millimeters (mm))
site_descrip (Depth, unitless)
mean_temp_C (degrees Celsius)


[Shoreline Grab and Autosampler Samples after Lahaina Wildfires 2023-2024] - Water quality parameters from discrete shoreline and transect sampling in West Maui (Lahaina area), Hawaiʻi, following the Lahaina Wildfires, Aug 2023 to Oct 2024 (RAPID: Coral reef stress responses to an urban fire)

Summary:
These data include values for various coastal water parameters: carbon chemistry (total alkalinity, dissolved inorganic carbon, and dissolved organic carbon), trace metals, metabolomic composition, nutrient concentrations (NOx, NO2, PO4, SiO2, and NH3), Fluorescence Dissolved Organic Matter, and flow cytometry. Water samples were all collected in West Maui in and around reef systems that were within and adjacent to the burn zone of the Lahaina fires. These samples were collected by boat transect, shoreline grab sampling, and autonomous sampling devices. Some autonomous sampling data from before the fire event are also included. The aim of these data is to understand the effects on coral reef health in response to the urban fires that occurred in August of 2023. Samples were collected by a collaborative effort of scientists Dr. Andrea K Kealoha, Dr. Craig Nelson, Dr. Eileen Nalley, and Dr. Nicholas Hawco.

cdm_data_type = Other
VARIABLES:
date (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
ISO_DateTime_Local_HST (unitless)
collection (unitless)
uniqueID (unitless)
station (unitless)
sampling_trip (unitless)
description (unitless)
tide (unitless)
station_platform (unitless)
station_category (unitless)
latitude (degrees_north)
longitude (degrees_east)
metal (unitless)
fcm (unitless)
fdom (unitless)
hlb (unitless)
doc (unitless)
... (73 more variables)


[Short-term heat stress assay Heron Island -  physiological data] - Photochemical yield and color score data from short-term heat stress assays performed with with corals collected from sites around Heron Island, southern Great Barrier Reef  in Sept and Oct of 2022 (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress)

Summary:
Variable temperature regimes that expose corals to sub-lethal heat stress have been recognized as a mechanism to increase coral thermal tolerance and lessen coral bleaching. However, there is a need to better understand which thermal regimes maximize coral stress hardening. Here, standardized thermal stress assays were used to determine the relative thermal tolerance of three divergent genera of corals (Acropora, Pocillopora, Porites) originating from six reef sites representing an increasing gradient of annual mean diel temperature fluctuations of 1–3°C day-1. Bleaching severity and dark-acclimated photochemical yield (i.e., Fv/Fm) were quantified following exposure to five temperature treatments ranging from 23.0 to 36.3°C (see Related Datasets for temperature data). This data set contains photochemical yield and color score data used to determine effective dose 50 (ED50, thermal tolerance). It also includes images used for analysis of coral color, a proxy for bleaching severity.

cdm_data_type = Other
VARIABLES:
Site_Code (unitless)
Site_Name (unitless)
latitude (degrees_north)
longitude (degrees_east)
Genus (unitless)
ColonyID (unitless)
Treatment_nonnum (unitless)
Treatment (unitless)
Replicate (unitless)
Temperature (degrees Celsius (degC))
F0 (unitless)
Fm (unitless)
Y (unitless)
Label (unitless)
Color_type (unitless)
Color (unitless)
Name (unitless)
... (7 more variables)


[Short-term heat stress assay Heron Island - experimental temperature data] - Temperature data from short-term heat stress assays performed with with corals collected from sites around Heron Island, southern Great Barrier Reef  in Sept and Oct of 2022 (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress)

Summary:
Variable temperature regimes that expose corals to sub-lethal heat stress have been recognized as a mechanism to increase coral thermal tolerance and lessen coral bleaching. However, there is a need to better understand which thermal regimes maximize coral stress hardening. Here, standardized thermal stress assays were used to determine the relative thermal tolerance of three divergent genera of corals (Acropora, Pocillopora, Porites) originating from six reef sites representing an increasing gradient of annual mean diel temperature fluctuations of 1–3°C day-1. Bleaching severity and dark-acclimated photochemical yield (i.e., Fv/Fm) were quantified following exposure to five temperature treatments ranging from 23.0 to 36.3°C (see Related Datasets for photochemical yield). This data set contains the short-term heat stress temperature data.

cdm_data_type = Other
VARIABLES:
index (unitless)
Date (unitless)
time_local (Time, unitless)
DateTime_Local (unitless)
Temperature (degrees Celsius (degC))
day (unitless)
Site (unitless)
Treatment (unitless)
time (Datetime_utc, seconds since 1970-01-01T00:00:00Z)


[Short-term heat stress assay Heron Island - thermal tolerance comparison between studies] - Thermal tolerance (ED50) data used to compare previously published regional (Florida Reef Tract, Coral Sea, Red Sea) coral thermal tolerance with Heron Island, Great Barrier Reef values measured in 2022 (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress)

Summary:
Variable temperature regimes that expose corals to sub-lethal heat stress have been recognized as a mechanism to increase coral thermal tolerance and lessen coral bleaching. However, there is a need to better understand which thermal regimes maximize coral stress hardening. Here, standardized thermal stress assays were used to determine the relative thermal tolerance of three divergent genera of corals (Acropora, Pocillopora, Porites) originating from six reef sites representing an increasing gradient of annual mean diel temperature fluctuations of 1–3°C day-1. Bleaching severity and dark-acclimated photochemical yield (i.e., Fv/Fm) were quantified following exposure to five temperature treatments ranging from 23.0 to 36.3°C (see Related Datasets).  This data set contains the comparison of thermal tolerance across studies.

cdm_data_type = Other
VARIABLES:
Location (unitless)
Genus (unitless)
Species (unitless)
Reef (unitless)
ed50 (degrees Celsius (degC))
Lower (degrees Celsius (degC))
Upper (degrees Celsius (degC))


[Short-term heat stress assay: Photochemical yield data] - Photochemical yield and bleaching severity data from a standardized short-term (18 hour) heat stress assay of Montipora capitata and Porites compressa collected at a patch reef in Kane'ohe Bay, O'ahu, Hawai'i in September of 2022 (RAPID: Collaborative Research: Disentangling the effects of heat stress versus bleaching phenotype on coral performance)

Summary:
Increasingly frequent marine heatwaves are devastating coral reefs. Corals that survive these extreme events must rapidly recover if they are to withstand subsequent events, and long-term survival in the face of rising ocean temperatures may hinge on recovery capacity and acclimatory gains in heat tolerance over an individual's lifespan. To better understand coral recovery trajectories in the face of successive marine heatwaves, we monitored the responses of bleaching-susceptible and bleaching-resistant individuals of two dominant coral species in Hawaiʻi, Montipora capitata and Porites compressa, over a decade that included three marine heatwaves.  This dataset includes the photochemical yield from the standardized short-term (18 hour) heat stress assay.

cdm_data_type = Other
VARIABLES:
Treatment (unitless)
Temperature (degrees Celcius)
Species (unitless)
Bleach (unitless)
Colony_ID (unitless)
Rep (unitless)
F (unitless)
Y (unitless)
M (unitless)


[Short-term heat stress assay: Temperature data] - Temperature data from a standardized short-term (18 hour) heat stress assay of Montipora capitata and Porites compressa collected at a patch reef in Kane'ohe Bay, O'ahu, Hawai'i in September of 2022 (RAPID: Collaborative Research: Disentangling the effects of heat stress versus bleaching phenotype on coral performance)

Summary:
Increasingly frequent marine heatwaves are devastating coral reefs. Corals that survive these extreme events must rapidly recover if they are to withstand subsequent events, and long-term survival in the face of rising ocean temperatures may hinge on recovery capacity and acclimatory gains in heat tolerance over an individual's lifespan. To better understand coral recovery trajectories in the face of successive marine heatwaves, we monitored the responses of bleaching-susceptible and bleaching-resistant individuals of two dominant coral species in Hawaiʻi, Montipora capitata and Porites compressa, over a decade that included three marine heatwaves. This dataset includes the temperature data from the standardized short-term (18 hour) heat stress assay.

cdm_data_type = Other
VARIABLES:
Date (unitless)
time_local (Time, unitless)
hour (hours)
Temperature (degrees celcius)
Treatment (unitless)
Date_Time (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)


[SIMCO Study: FTICRMS spectra 2014] - Fourier transform ion cyclotron resonance mass spectrometer (FT-ICRMS) data from seasonal collections, Doboy Sound, Sapelo Island, GA, July and October 2014 (High Resolution Linkages Between DOC Turnover and Bacterioplankton in a Coastal Ocean)

Summary:
Dissolved organic matter (DOM) from field and incubation collections of Doboy Sounds estuarine waters near Sapelo Island, GA in July and October 2014 was analyzed for chemical composition. Analysis of the dissolved organic matter pool retrieved by solid-phase extraction (PPL resin) was analyzed to determine chemical formulas (by Fourier transform ion cyclotron resonance mass spectrometry, FT-ICR MS).

cdm_data_type = Other
VARIABLES:
mass_to_charge (Daltons (Da))
C (atoms)
H (atoms)
O (atoms)
N (atoms)
S (atoms)
Jul14_HT_T0_A (unitless)
Jul14_HT_T0_B (unitless)
Jul14_HT_T0_C (unitless)
Jul14_HT_T24_A (unitless)
Jul14_HT_T24_B (unitless)
Jul14_HT_T24_C (unitless)
Jul14_LT_T0_A (unitless)
Jul14_LT_T0_B (unitless)
Jul14_LT_T0_C (unitless)
Jul14_LT_T24_A (unitless)
Jul14_LT_T24_B (unitless)
Jul14_LT_T24_C (unitless)
Oct14_HT_T0_A (unitless)
Oct14_HT_T0_B (unitless)
Oct14_HT_T0_C (unitless)
Oct14_HT_T24_A (unitless)
Oct14_HT_T24_B (unitless)
... (7 more variables)


[SIMCO: DOC and salinity 2014] - Dissolved organic carbon (DOC) and salinity data from seasonal collections/incubations, Doboy Sound, Sapelo Island, GA, July and October 2014 (High Resolution Linkages Between DOC Turnover and Bacterioplankton in a Coastal Ocean)

Summary:
DOC from field and incubation collections of estuarine waters near Sapelo Island, GA in July and October 2014 was analyzed for chemical concentrations. Analysis of the dissolved organic carbon pool retrieved by solid-phase extraction (PPL resin) was analyzed to determine organic carbon concentrations (by TOC Analyzer; Shimadzu).

cdm_data_type = Other
VARIABLES:
date (unitless)
sample (unitless)
DOC_uM (DOC U M, microMol)
Salinity_psu (Sea Water Practical Salinity, practical salinity units)


[Simulated grazing experiment] - Results from an experiment investigating the interaction between simulated grazing and fungal disease incidence in mangroves on Abaco Island, Bahamas from 2014-2016 (Mangrove Die-off project) (An interdisciplinary approach to elucidating the causes of widespread mangrove die-off)

Summary:
Results from an experiment investigating the interaction between simulated grazing and fungal disease incidence in mangroves on Abaco Island, Bahamas from 2014-2016 (Mangrove Die-off project)

cdm_data_type = Other
VARIABLES:
site (unitless)
latitude (degrees_north)
longitude (degrees_east)
type (unitless)
leaf_pair (count)
lesion_num (count)
lesion_area (millimenters squared)
leaf_area (millimenters squared)
lesion_proportion (unitless)


[simulated in situ primary production] - Simulated in situ production data from RVIB Nathaniel B. Palmer cruises NBP0103, NBP0104, NBP0202, and NBP0204 in the Southern Ocean from 2001-2002 (SOGLOBEC project) (U.S. GLOBEC Southern Ocean)

Summary:
Simulated in situ production data from RVIB Nathaniel B. Palmer cruises NBP0103, NBP0104, NBP0202, and NBP0204 in the Southern Ocean from 2001-2002 (SOGLOBEC project)

cdm_data_type = Other
VARIABLES:
cruiseid
year
station_desc
station
grid_line
grid_sta
yrday_gmt (YYY.Y)
latitude (degrees_north)
longitude (degrees_east)
event
cast
bottle
depth (m)
production ((mgC/m2/h))
prod_std_dev ((mgC/m2/h))
par_d_expt ((uE/cm2/expt))


[single_cell] - Calculated power from the oxidation of biomolecules with oxygen at South Pacific Gyre (hole U1370, IODP Expedition 329) (Develop a 1D biogeochemical-evolutionary model for deep sediments)

Summary:
Calculated power from the oxidation of biomolecules with oxygen at South Pacific Gyre (hole U1370, IODP Expedition 329)

cdm_data_type = Other
VARIABLES:
Molecule (unitless)
Chemical_Formula (unitless)
Amount_of_biomolecule (mole per cell (mole/cell))
Energy (picoJoules per cell (pJ/cell))
latitude (degrees_north)
longitude (degrees_east)


[Siphonophore bulk stable isotopes] - Bulk stable isotopes from siphonophores collected during four research cruises on the R/V Wester Flyer in the California Current Ecosystem between 2019 and 2021 (Collaborative research: The effects of predator traits on the structure of oceanic food webs)

Summary:
Samples of siphonophores (Cnidaria, Hydrozoa) were collected using blue‑water diving, midwater trawls, and remotely operated vehicles in the California Current Ecosystem, from 0 to 3,000 meters depth. Siphonophore samples were collected on four research cruises on the R/V Wester Flyer between 2019-2021. To remove potential biases associated with tissue‑specific variability in stable isotope values, the gelatinous swimming bells (nectophores) of siphonophores were sampled. This approach was possible for most specimens, except for physonect species that are extremely fragile or have nectosomes that are a small fraction of the colony length and are often not collected. For these species (e.g., Apolemia spp.), the gelatinous bracts and pieces of the siphosome, excluding gastrozooids, were used. For small individuals (Diphyes dispar, Nanomia bijuga, and Sphaeronectes koellikeri), nectophores from several colonies that were captured at the same time and sampling location were pooled to obtain an adequate mass for isotope analyses. A subset of samples was selected for compound-specific isotope analysis of amino acids. These specific taxa were selected as representatives of different depth habitats, suborders, and hypothesized diets. Bulk and compound-specific isotope analyses were performed at the University of Hawaii's Biogeochemistry Stable Isotope Facility. This dataset includes the bulk stable isotope measurements along with metadata for specimens when possible (collection month and year, latitude, longitude, depth).

cdm_data_type = Other
VARIABLES:
Ship (unitless)
Chief_Scientist (unitless)
Cruise_Name (unitless)
Year (unitless)
Month (unitless)
Family (unitless)
Genus (unitless)
Best_Taxonomic_ID (unitless)
depth (Depth_m, m)
Latitude (degrees_north)
longitude (degrees_east)
EAweight_mg (milligrams (mg))
... (4 more variables)


[Siphonophore CSIA-AA] - Compound-specific isotope analysis of amino acids (CSIA-AA) from a subset of siphophore samples collected during four research cruises on the R/V Wester Flyer in the California Current Ecosystem between 2019 and 2021 (Collaborative research: The effects of predator traits on the structure of oceanic food webs)

Summary:
Samples of siphonophores (Cnidaria, Hydrozoa) were collected using blue‑water diving, midwater trawls, and remotely operated vehicles in the California Current Ecosystem, from 0 to 3,000 meters depth. Siphonophore samples were collected on four research cruises on the R/V Wester Flyer between 2019-2021. To remove potential biases associated with tissue‑specific variability in stable isotope values, the gelatinous swimming bells (nectophores) of siphonophores were sampled. This approach was possible for most specimens, except for physonect species that are extremely fragile or have nectosomes that are a small fraction of the colony length and are often not collected. For these species (e.g., Apolemia spp.), the gelatinous bracts and pieces of the siphosome, excluding gastrozooids, were used. For small individuals (Diphyes dispar, Nanomia bijuga, and Sphaeronectes koellikeri), nectophores from several colonies that were captured at the same time and sampling location were pooled to obtain an adequate mass for isotope analyses. A subset of samples was selected for compound-specific isotope analysis of amino acids. These specific taxa were selected as representatives of different depth habitats, suborders, and hypothesized diets. Bulk and compound-specific isotope analyses were performed at the University of Hawaii's Biogeochemistry Stable Isotope Facility. This dataset includes the compound-specific isotope analysis data.

cdm_data_type = Other
VARIABLES:
Collection_Date (unitless)
Year (unitless)
Month (unitless)
Genus (unitless)
Best_Taxonomic_ID (unitless)
Alanine (parts per thousand)
Glycine (parts per thousand)
Threonine (parts per thousand)
Serine (parts per thousand)
Valine (parts per thousand)
Leucine (parts per thousand)
Isoleucine (parts per thousand)
Proline (parts per thousand)
... (21 more variables)


[Site List] - Site list for habitat complexity photos and related datasets sampled along the Northern Central California coast from 2017 and 2021 (Collaborative Proposal: Selection and Genetic Succession in the Intertidal -- Population Genomics of Pisaster ochraceus During a Wasting Disease Outbreak and its Aftermath)

Summary:
Site list for habitat complexity photos and related datasets sampled along the Northern Central California coast from 2017-2021.

cdm_data_type = Other
VARIABLES:
Site (unitless)
County (unitless)
Site_Code (unitless)
latitude (degrees_north)
longitude (degrees_east)


[Site locations and species sampled] - Coral species list and site descriptions for studies conducted on the partial SSU rRNA genes of bacteria and archaea in the Florida Keys, Australia, and Micronesia in 2013. (Coral Microbial Relationships project) (Fundamental Coral-Microbial Associations)

Summary:
Coral species list and site descriptions for studies conducted on the partial SSU rRNA genes of bacteria and archaea in the Florida Keys, Australia, and Micronesia in 2013. (Coral Microbial Relationships project)

cdm_data_type = Other
VARIABLES:
species (unitless)
colony_name (unitless)
collection_site (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)


[Sites and symbionts] - Symbiodinium algae in foraminifer and corals in St. John, USVI. (LTREB Long-term coral reef community dynamics in St. John, USVI: 1987-2019)

Summary:
Symbiodinium algae in foraminifer and corals in St. John, USVI.

cdm_data_type = Other
VARIABLES:
Name_of_Bay (unitless)
Name_of_Site (unitless)
depth (Collection Depth, m)
Host (unitless)
Sample_ID (unitless)
A3 (count)
B1 (count)
C7 (count)
C12 (count)
C91 (count)
D1a (count)
D2 (count)
G3_3 (count)
G3_4 (count)
F4_8 (count)
F5_1 (count)
H1 (count)
H5 (count)


[Sites Surveyed for Ficopomatus enigmaticus] - Southern California sites surveyed for Ficopomatus enigmaticus in Orange and Los Angeles Counties, California, USA, from August to October 2015 (Feeding by the ciliated larvae of marine invertebrates: effects of diverse particle capture mechanisms on feeding performance)

Summary:
Southern California sites surveyed for Ficopomatus enigmaticus in Orange and Los Angeles Counties, California, USA, from August to October 2015.

cdm_data_type = Other
VARIABLES:
site (unitless)
site_name (unitless)
latitude (degrees_north)
longitude (degrees_east)
date_sampled (unitless)
intertidal_substratum (unitless)
temp (Temperature, degrees Celsius)
sal (psu)
ficopomatus_presence (unitless)


[Size and species of focal basslets] - Fish species preferences by predators in the Bahamas in 2013 (Mechanisms and Consequences of Fish Biodiversity Loss on Atlantic Coral Reefs Caused by Invasive Pacific Lionfish)

Summary:
Fish species preferences by predators in the Bahamas in 2013

cdm_data_type = Other
VARIABLES:
predator_ID (unitless)
predator_species (unitless)
predator_size (centimeters)
bass_treatment (unitless)
bass_species (unitless)
bass_size (unitless)
hunt_time (seconds)
strike_number (count)


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

Summary:
This dataset provides size-fractionated (SF) chlorophyll measurements taken across the subtropical front east of New Zealand in October and November 2018. The dataset provides depth-resolved measurements of SF chlorophyll for 0.2 µm, 2 µm and 20 µm sized cells for locations in the subtropical and subantarctic-influenced locations of the subtropical front. Samples for size fractionated chlorophyll a (SF Chla) were analyzed by first gravity filtering a sample (250 mL) through a 20 µm 47-mm polycarbonate filter, then with low vacuum pressure, filtering sequentially through a 2 µm and a 0.2 µm filter. Filters were then folded, placed in 1.5 mL cryovials and frozen (-80 °C) until analysis (Gutiérrez‐Rodríguez et al., 2020). Chla and acidified phaeopigment-a concentrations were measured (within 3 months) using ice-cold 90% acetone extraction by spectrofluorometric methods (APHA 10200 H) on a Varian Cary Eclipse fluorescence spectrophotometer (Rice et al., 2012). In addition to serving as the chlorophyll measurements for size specific C:Chl ratios, size fractionated chlorophyll measurements are crucial in estimating chlorophyll concentrations for various sized autotroph cells. The summed SF chlorophyll is also provided in this dataset as comparison to total chlorophyll sampled in this region. Andrés Gutierrez Rodriguez and his lab were responsible for collection and analysis of this dataset.

cdm_data_type = Other
VARIABLES:
Cycle (unitless)
Cast (unitless)
depth (m)
latitude (degrees_north)
longitude (degrees_east)
Date (unitless)
Chl_a_02 (mg/m^3)
Chl_a_2 (mg/m^3)
Chl_a_20 (mg/m^3)
Summed_SF_Chl (mg/m^3)
Chl_a_02_percentage (unitless)
Chl_a_2_percentage (unitless)
Chl_a_20_percentage (unitless)


[Size Fractionated Zooplankton Carbon and Nitrogen] - Size fractionated zooplankton C:N, d13C, and d15N from the EXPORTS cruise on R/V Roger Revelle (RR1813) during August and September 2018 (Collaborative Research: Isotopic Indicators for Mechanisms of Organic Matter Degradation in the Northeast Pacific (EXPORTS))

Summary:
Size fractionated zooplankton C:N, d13C, and d15N from the EXPORTS cruise on R/V Roger Revelle (RR1813) during August and September 2018. Zooplankton were collected using a multiple opening-closing net and environmental sensing system (MOCNESS).

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
R2R_Event (R2 R Event, unitless)
latitude (degrees_north)
longitude (degrees_east)
Date (unitless)
time2 (Time, unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
MOCNESS_Tow (unitless)
DayNight (Day Night, unitless)
MOCNESS_Net (unitless)
depth (m)
DepthInterval_min (Depth, meters)
VolFilt (Vol Filt, cubic meters)
SizeFraction_min (Size Fraction Min, micrometers (um))
SizeFraction_max (Size Fraction Max, micrometers (um))
SampleWeight (Sample Weight, milligrams (mg))
N (micrograms (ug))
d15N (D15 N, permil (‰) vs AIR)
C (micrograms (ug))
d13C (D13 C, per mil (‰) vs VPDB)
C_to_N (mol/mol)


[Size Frequency] - Blue mussel (Mytilus edulis) size frequency data from surveys conducted in coastal eastern Maine from 2014 to 2017 (MuLTI-2 project) (An integrated theoretical and empirical approach to across-shelf mixing and connectivity of mussel populations)

Summary:
Blue mussel (Mytilus edulis) size frequency data from surveys conducted in coastal eastern Maine from 2014 to 2017.

cdm_data_type = Other
VARIABLES:
Sampling_Event (unitless)
Station_Code (unitless)
Sample_Year (unitless)
Replicate_Plot (unitless)
Size_Class (millimeters (mm))
Mussel_Count (per individual)
Mussels_Sampled (per individual)
Size_Class_Freq (dimensionless)


[Size-fractionated particulate trace element concentrations determined by ICP-MS from Ocean Station Papa during the 2018 EXPORTS cruise] - Size-fractionated particulate trace element concentrations determined by ICP-MS from Ocean Station Papa during the 2018 EXPORTS cruise (R/V Sally Ride cruise SR1812) (Collaborative Research: Estimation of particle aggregation and disaggregation rates from the inversion of chemical tracer data)

Summary:
Total minor and trace element concentrations were determined by ICP-MS on profiles of size-fractionated (0.8-51um, >51um) particles collected by battery-operated in-situ filtration at Ocean Station Papa in the North Pacific in August 2018 during the 2018 EXPORTS cruise (R/V Sally Ride cruise SR1812).

cdm_data_type = Other
VARIABLES:
time (Datetimeutc, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Epoch (unitless)
stationtype (unitless)
station (unitless)
depth (Depthm, m)
volumeSuporL (liters (L))
SPTsampleID (unitless)
LPTsampleID (unitless)
Sr_SPT_CONC_PUMP_pM (picomolar (pM))
Y_SPT_CONC_PUMP_pM (picomolar (pM))
Mo_SPT_CONC_PUMP_pM (picomolar (pM))
Ag_SPT_CONC_PUMP_pM (picomolar (pM))
Cd_SPT_CONC_PUMP_pM (picomolar (pM))
Ba_SPT_CONC_PUMP_pM (picomolar (pM))
La_SPT_CONC_PUMP_pM (picomolar (pM))
Ce_SPT_CONC_PUMP_pM (picomolar (pM))
Nd_SPT_CONC_PUMP_pM (picomolar (pM))
Pb_SPT_CONC_PUMP_pM (picomolar (pM))
Th_SPT_CONC_PUMP_pM (picomolar (pM))
U_SPT_CONC_PUMP_pM (picomolar (pM))
Al_SPT_CONC_PUMP_pM (picomolar (pM))
P_SPT_CONC_PUMP_pM (picomolar (pM))
... (124 more variables)


[Size-fractionated particulate trace element concentrations determined by ICP-MS from the 2021 North Atlantic EXPORTS cruise] - Size-fractionated particulate trace element concentrations determined by ICP-MS from the 2021 North Atlantic EXPORTS cruise (RRS Discovery cruise DY131) (Collaborative Research: Estimation of particle aggregation and disaggregation rates from the inversion of chemical tracer data)

Summary:
Total minor and trace element concentrations were determined by ICP-MS on profiles of size-fractionated (0.8-51um, >51um) particles collected by battery-operated in-situ filtration during the 2021 North Atlantic EXPORTS cruise (RRS Discovery cruise DY131).

cdm_data_type = Other
VARIABLES:
StationID (unitless)
PumpCast (unitless)
Epoch (unitless)
latitude (Latdegn, degrees_north)
longitude (Londege, degrees_east)
time (Pumpmid_datetime, seconds since 1970-01-01T00:00:00Z)
depth (Depthm, m)
Pump (unitless)
volumeSuporL (liters (L))
SPTsampleID (unitless)
Sr_SPT_CONC_PUMP_pM (picomolar (pM))
Y_SPT_CONC_PUMP_pM (picomolar (pM))
Mo_SPT_CONC_PUMP_pM (picomolar (pM))
Ag_SPT_CONC_PUMP_pM (picomolar (pM))
Cd_SPT_CONC_PUMP_pM (picomolar (pM))
Ba_SPT_CONC_PUMP_pM (picomolar (pM))
La_SPT_CONC_PUMP_pM (picomolar (pM))
Ce_SPT_CONC_PUMP_pM (picomolar (pM))
Nd_SPT_CONC_PUMP_pM (picomolar (pM))
Pb_SPT_CONC_PUMP_pM (picomolar (pM))
Th_SPT_CONC_PUMP_pM (picomolar (pM))
Al_SPT_CONC_PUMP_pM (picomolar (pM))
P_SPT_CONC_PUMP_pM (picomolar (pM))
Sc_SPT_CONC_PUMP_pM (picomolar (pM))
Ti_SPT_CONC_PUMP_pM (picomolar (pM))
... (112 more variables)


[Skeletal Stress Bands] - Stress band counts from coral cores taken in the central equatorial Pacific between 1982 and 2015 (Skeletal Records of Coral Reef Bleaching in the Central Equatorial Pacific)

Summary:
Coral cores were collected in the central equatorial Pacific (Central Pacific Coral reefs, -5 to 5 latitude, Dongsha Atoll, Curacao, Barbados, Martinique coral reefs) between March 1982 and June 2015. Stress bands were identified in the CT scan images of each core and quantified.

cdm_data_type = Other
VARIABLES:
Island (unitless)
latitude (degrees_north)
longitude (degrees_east)
Stress_Bands (percentage (%))
Number_of_Cores (unitless)
Year_Month (unitless)


[SMIIL salt marsh discrete samples] - Discrete sample measurements of dissolved oxygen, dissolved inorganic carbon, and total alkalinity from the Seven Mile Island Innovation Laboratory (SMIIL) from 2022 to 2024 (Sediment transport and water quality in watersheds and coastlines of the United States)

Summary:
This dataset contains discrete sample measurements of dissolved oxygen, dissolved inorganic carbon, and total alkalinity collected from 2022 through 2024 from a tidal salt marsh in New Jersey, USA. The marsh is located landward of Seven Mile Island, a populated barrier island in Cape May County, New Jersey, and is a part of the Seven Mile Island Innovation Laboratory (SMIIL), a research initiative focused on advancing dredging and marsh restoration practices. Samples in this dataset were collected as part of a collaboration between Boston College and the U.S. Army Corps of Engineers Engineer Research and Development Center. This project encompassed multi-year biogeochemical sensor deployments within the main tidal salt marsh channel and salt ponds on the marsh platform, as well as targeted deployments to monitor beneficial use dredged sediment placements. Beginning in August-September 2022, discrete samples for dissolved oxygen, total alkalinity, and dissolved inorganic carbon were collected at the start and end of each sensor deployment for additional sensor calibration and validation. We provide the discrete sample measurements alongside collected salinity and temperature sensor data from the locations where sensors were deployed.

cdm_data_type = Other
VARIABLES:
Trip_ID (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
Station_ID (unitless)
latitude (degrees_north)
longitude (degrees_east)
Temp_C (degrees Celsius)
Temp_flag (unitless)
Sal_PSU (Practical Salinity Units)
Sal_flag (unitless)
Oxygen1 (umol/kg)
Oxygen1_flag (unitless)
Oxygen2 (umol/kg)
Oxygen2_flag (unitless)
Oxygen3 (umol/kg)
... (7 more variables)


[SMURF faunal settlement] - Collections of fish and invertebrates settled in artificial seagrass landscapes (Collaborative Research: Habitat fragmentation effects on fish diversity at landscape scales: experimental tests of multiple mechanisms)

Summary:
Collections of fish and invertebrates settles in artificial seagrass landscapes collected between June and August 2018

cdm_data_type = Other
VARIABLES:
Sample_ID (unitless)
Landscape_type (unitless)
Percent_cover_treatment (percentage (%))
Fragmentation_treatment (unitless)
Site (unitless)
Pick_up_date (unitless)
Pick_up_time (unitless)
Gear (unitless)
latitude (degrees_north)
longitude (degrees_east)
Processed_by (unitless)
Taxa (unitless)
Size (millimeter (mm))
Larvae_settler (unitless)
N (unitless)
Notes (unitless)
time (Pick Up Date Time UTC ISO, seconds since 1970-01-01T00:00:00Z)


[Snail larvae in turbulence and waves] - Processed data from Particle Imaging Velocimetry (PIV) observations of Tritia trivittata and Tritia obsoleta behavior in various flow tanks (Relative Influence of Turbulence and Waves on Larval Behavior)

Summary:
Dispersing marine larvae can alter their physical transport by swimming vertically or sinking in response to environmental signals. However, it remains unknown whether any signals could enable larvae to navigate over large scales. We tested whether flow-induced larval behaviors vary with adults' physical environments using congeneric snail larvae from the wavy continental shelf (Tritia trivittata) and from turbulent inlets (Tritia obsoleta). This dataset includes observations of larvae in turbulence, in rotating flows dominated by vorticity or strain rates, and in rectilinear wave oscillations. Larval and water motion were observed using near-infrared particle image velocimetry (IR PIV), and analyses identified threshold signals causing larvae to change their direction or magnitude of propulsive force. The two species reacted similarly to turbulence but differently to waves, and their transport patterns would diverge in wavy, offshore regions. Wave-induced behaviors provide evidence that larvae may detect waves as both motions and sounds useful in navigation.

cdm_data_type = Other
VARIABLES:
file_name (unitless)
larval_stage (unitless)
species (unitless)
flow_tank (unitless)
direction (unitless)
x (Longitude, centimeters (cm))
z (centimeters (cm))
uf (centimeters per second (cm/s))
wf (centimeters per second (cm/s))
ub (centimeters per second (cm/s))
wb (centimeters per second (cm/s))
larval_axial_rotation_ang (radians)
larval_propulsive_force (N)
propulsion_direction (radians)
dissipation_rate (m^2 s^-3)
horizontal_comp_of_vorticity (s^-1)
acceleration (meters per second (m s^-2))
strain_rate (s^-1)


[snow_pits] - Snow pit data: temperature, density, stratigraphy at various depths from ARSV Laurence M. Gould LMG0106, LMG0205 in the Southern Ocean from 2001-2002 (SOGLOBEC project) (U.S. GLOBEC Southern Ocean)

Summary:
Snow pit data: temperature, density, stratigraphy at various depths from ARSV Laurence M. Gould LMG0106, LMG0205 in the Southern Ocean from 2001-2002 (SOGLOBEC project).

cdm_data_type = Other
VARIABLES:
cruise_id
year
station
date_local
month_local
day_local
yrday_local
site
latitude (degrees_north)
longitude (degrees_east)
event
snow_depth (centimeters)
temp_air (degrees Celsius)
depth_temp (Depth, degrees Celsius)
temp (Temperature, degrees Celsius)
depth_dens (Depth, centimeters)
density (kg/m^3)
depth_strat (Depth, centimeters)
strat_type
strat_thick (millimeters)
depth_wet (Depth, centimeters)
wetness


[SO248: Bulk FLA hydrolysis rates] - Microbial enzyme activities: polysaccharide hydrolase activities in bulk seawater samples from the RV\Sonne cruise SO248 in the South and North Pacific, along 180 W, May, 2016 (Latitudinal and depth-related contrasts in enzymatic capabilities of pelagic microbial communities: Predictable patterns in the ocean?)

Summary:
This dataset includes polysaccharide hydrolysis rates measured in bulk (not filter-fractionated) seawater. Samples were collected on RV/Sonne cruise SO248 in May 2016. Links to archived CTD data are also provided.

cdm_data_type = Other
VARIABLES:
station_no (unitless)
cast_no (unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth_no (Depth, unitless)
depth (m)
substrate (unitless)
timepoint (unitless)
time_elapsed_hr (hours)
rep1_rate (nanomoles/liter/hour (nmol L-1 h-1))
rep2_rate (nanomoles/liter/hour (nmol L-1 h-1))
rep3_rate (nanomoles/liter/hour (nmol L-1 h-1))
average (nanomoles/liter/hour (nmol L-1 h-1))
std_dev (nanomoles/liter/hour (nmol L-1 h-1))


[SO248: Bulk MCAMUF hydrolysis rates] - Microbial enzyme activities: glucosidase and peptidase activities of bulk seawater samples from the RV\Sonne cruise SO248 in the South and North Pacific, along 180 W, May, 2016 (Latitudinal and depth-related contrasts in enzymatic capabilities of pelagic microbial communities: Predictable patterns in the ocean?)

Summary:
This dataset includes MCAMUF (glucosidase and peptidase) hydrolysis rates to measure microbial enzyme activities in bulk (not filter-fractionated) seawater. Samples were collected on RV/Sonne cruise SO248 in May 2016. Links to archived CTD data are also provided.

cdm_data_type = Other
VARIABLES:
station_no (unitless)
cast_no (unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth_no (Depth, unitless)
depth (m)
substrate (unitless)
timepoint (unitless)
time_elapsed_hr (hours)
rep1_rate (nanomoles/liter/hour (nmol L-1 h-1))
rep2_rate (nanomoles/liter/hour (nmol L-1 h-1))
rep3_rate (nanomoles/liter/hour (nmol L-1 h-1))
average (nanomoles/liter/hour (nmol L-1 h-1))
std_dev (nanomoles/liter/hour (nmol L-1 h-1))


[SO248: GF FLA hydrolysis rates] - Microbial enzyme activities: polysaccharide hydrolase activities of gravity filtered seawater samples from the RV\Sonne cruise SO248 in the South and North Pacific, along 180 W, May, 2016 (Latitudinal and depth-related contrasts in enzymatic capabilities of pelagic microbial communities: Predictable patterns in the ocean?)

Summary:
This dataset includes polysaccharide hydrolysis rates measured on particles collected from gravity-filtered seawater. Gravity filtered samples were collected on RV/Sonne cruise SO248 in May 2016. Links to archived CTD data are also provided.

cdm_data_type = Other
VARIABLES:
station_no (unitless)
cast_no (unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth_no (Depth, unitless)
depth (m)
substrate (unitless)
timepoint (unitless)
time_elapsed_hr (hours)
rep1_rate (nanomoles/liter/hour (nmol L-1 h-1))
rep2_rate (nanomoles/liter/hour (nmol L-1 h-1))
average (nanomoles/liter/hour (nmol L-1 h-1))
std_dev (nanomoles/liter/hour (nmol L-1 h-1))
filter_um (micrometers)


[SO248: GF MCAMUF hydrolysis rates] - Microbial enzyme activities: glucosidase and peptidase activities of gravity filtered seawater samples from the RV\Sonne cruise SO248 in the South and North Pacific, along 180 W, May, 2016 (Latitudinal and depth-related contrasts in enzymatic capabilities of pelagic microbial communities: Predictable patterns in the ocean?)

Summary:
This dataset includes MCAMUF (glucosidase and peptidase) hydrolysis rates to measure microbial enzyme activities on particles collected from gravity filtered seawater. Samples were collected on RV/Sonne cruise SO248 in May 2016. Links to archived CTD data are also provided.

cdm_data_type = Other
VARIABLES:
station_no (unitless)
cast_no (unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth_no (Depth, unitless)
depth (m)
substrate (unitless)
timepoint (unitless)
time_elapsed_hr (hours)
rep1_rate (nanomoles/liter/hour (nmol L-1 h-1))
rep2_rate (nanomoles/liter/hour (nmol L-1 h-1))
average (nanomoles/liter/hour (nmol L-1 h-1))
std_dev (nanomoles/liter/hour (nmol L-1 h-1))
filter_um (micrometers)


[SOAPI DOC and CDOM] - Dissolved organic carbon, and chromophoric and fluorescent DOM measurements of sea surface microlayer and subsurface samples from the R/V Hugh R. Sharp cruises HRS2213, HRS2215 and HRS2407 in the Northwestern Atlantic Ocean in 2022 and 2024 (Collaborative Research: Impacts of surface ocean surfactant sources and transformations on their chemical composition and air-sea relevant properties)

Summary:
Data includes dissolved organic carbon, as well as chromophoric and fluorescent dissolved organic matter (DOM) concentrations, of sea surface microlayer (SML) and subsurface samples collected across four hydrographic regions in the western North Atlantic. Sample information, including date and time, location (longitude and latitude), and oceanographic measurements such as salinity, temperature, wind speed, and humidity at the time of collection, is provided. SML samples were collected with a modified glass plate sampler, the Rosette-Based Glass Plate (RGP) Sampler, while subsurface samples were collected from a depth of 0.5 m using a pump. These data were generated as part of the Surfactants at the Ocean-Atmosphere Physical Interface (SOAPI) project to investigate the the composition, structure, and interfacial properties of surfactant organics at the sea surface. Data were collected by Dr. Andrew Wozniak (University of Delaware).

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
Cruise_ID (unitless)
Sample_Number (unitless)
Station_and_Day (unitless)
Station (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
Time_of_Day (unitless)
Type (unitless)
latitude (degrees_north)
longitude (degrees_east)
Salinity (practical salinity units)
Surface_Temp (degrees Celsius)
Air_Temperature (degrees Celsius)
Humidity (percent)
WindSpeed_knots (knots)
Windspeed_m_s (meters per second (m s-1))
Chlorophyll_a (microgram per liter (ug L-1))
DOC_uM (micromolar (uM))
... (9 more variables)


[SOLARIS Superoxide and Standard CTD Profiles] - SOLARIS superoxide and standard CTD profiles from the EMB276 cruise on R/V Elisabeth Mann Borgese in the Baltic Sea from September 20-27, 2021 (Collaborative Research: Manganese Cycling and Coupling Across Redox Boundaries within Stratified Basins of the Baltic Sea)

Summary:
SOLARIS superoxide profiles and standard CTD profiles including oxygen, turbidity, fluorescence, temperature, and PAR data from seven stations in the Baltic Sea collected between September 20 - 27, 2021. Data was collected from the R/V Elisabeth Mann Borgese.

cdm_data_type = Other
VARIABLES:
cruise_name (unitless)
station_name (unitless)
cast_number (unitless)
latitude (degrees_north)
longitude (degrees_east)
Date (unitless)
Time_Start_UTC (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
depth (Depth_m, m)
Superoxide_nM (nanomolar (nm))
Oxygen_uM (micromolar (um))
PAR (mol?m ?2 ?s ?1.)
Fluorescence (mg/m^3)
Turbidity_NTU (NTU (Nephelometric Turbidity Unit))
Temp_C (degrees Celsius (°C))
Salinity_PSU (PSU)


[sonobuoy_whale] - Sonobuoy data used to collect whale acoustics from ARSV Laurence M. Gould and RVIB Nathaniel B. Palmer cruises LMG0103, NBP0103, and NBP0104 in the Southern Ocean in 2001 (SOGLOBEC project) (U.S. GLOBEC Southern Ocean)

Summary:
Sonobuoy data used to collect whale acoustics from ARSV Laurence M. Gould and RVIB Nathaniel B. Palmer cruises LMG0103, NBP0103, and NBP0104 in the Southern Ocean in 2001 (SOGLOBEC project)

cdm_data_type = Other
VARIABLES:
cruiseid
year (unitless)
deployno
day_gmt (DD)
month_gmt (MM)
time_gmt (HHmm)
latitude (degrees_north)
longitude (degrees_east)
inst
Mn
Bb
Bp
Bm
Odt
Seal
comments
range


[Southern Ocean foraminifer N isotopes] - Planktic foraminifer tissue and shell d15N from net tows on R/V S.A. Agulhas II cruises VOY016 and VOY019 in the Southern Ocean south of Africa during 2015-2016 (High-resolution, Assemblage-specific Records of Diatom-bound N Isotopes from the Indian Sector of the Antarctic Ocean)

Summary:
This dataset synthesizes net-tow data (foraminifera and zooplankton measurements) with tow-depth seawater measurements (physical and chemical properties) and surface measurements of bulk suspended particulate organic nitrogen (PON) collected from the underway intake (7 m depth).

cdm_data_type = Other
VARIABLES:
cruise (unitless)
ship (unitless)
tow (unitless)
date (unitless)
time_starttow (unitless)
time_endtow (unitless)
species (unitless)
type (unitless)
analysis_year (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
d15N_foram_avg (D15 N Foram Avg, per mil vs AIR)
d15N_foram_sd (D15 N Foram Sd, per mil vs AIR)
d15N_foram_n (D15 N Foram N, unitless)
indiv_avg (unitless)
indiv_sd (unitless)
indiv_n (unitless)
Ni_avg (nanomoles per individual (nmol/indiv))
Ni_sd (nanomoles per individual (nmol/indiv))
Ni_n (unitless)
Nw_avg (nanomoles per milligram (nmol/mg))
Nw_sd (nanomoles per milligram (nmol/mg))
Nw_n (unitless)
d15N_avg_nitrate (Mole Concentration Of Nitrate In Sea Water, per mil vs AIR)
... (20 more variables)


[Southern Ocean particulate organic N isotopes] - Bulk suspended PON d15N from several cruises conducted in the Southern Ocean south of Africa from 2012-2019 (High-resolution, Assemblage-specific Records of Diatom-bound N Isotopes from the Indian Sector of the Antarctic Ocean)

Summary:
Compilation of surface measurements of bulk suspended particulate organic nitrogen (PON) collected from the Southern Ocean south of Africa (spanning 0-42\u00b0E). Date, time, latitude, and longitude are the averages of the start and end values of each underway collection.

cdm_data_type = Other
VARIABLES:
cruise (unitless)
leg (unitless)
ship (unitless)
date (unitless)
time2 (Time, unitless)
latitude (degrees_north)
longitude (degrees_east)
PONconc_avg (micrometers (µm))
PONconc_sd (micrometers (µm))
PONconc_n (unitless)
PONd15N_avg (PONd15 N Avg, per mil vs AIR)
PONd15N_sd (PONd15 N Sd, per mil vs AIR)
PONd15N_n (PONd15 N N, unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)


[Southern Ocean seawater N isotopes] - Nitrate+nitrite and nitrate-only d15N from R/V S.A. Agulhas II cruises VOY016 and VOY019 in the Southern Ocean south of Africa during 2015-2016 (High-resolution, Assemblage-specific Records of Diatom-bound N Isotopes from the Indian Sector of the Antarctic Ocean)

Summary:
Nitrate+nitrite and nitrate-only d15N from the Southern Ocean south of Africa. The dataset includes hydrocast (depth-profile) and underway (surface; intake at 7 m depth) data. The former is accompanied by hydrographic data obtained during the CTD cast.

cdm_data_type = Other
VARIABLES:
cruise (unitless)
ship (unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
date (unitless)
time2 (Time, unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
depth_ctd (Depth, meters (m))
pressure_ctd (decibars (db))
temperature_ctd (degrees Celsius)
salinity_ctd (Sea Water Practical Salinity, psu)
oxygen_ctd (milliliters per liter (ml/l))
fluorescence_ctd (milligrams per cubic meter (mg/m3))
potdens_calc (kilograms per cubic meter (kg/m3))
MLD_calc (meters (m))
d15N_avg_nitrate_nitrite (Mole Concentration Of Nitrate In Sea Water, per mil vs AIR)
d15N_stdev_nitrate_nitrite (Mole Concentration Of Nitrate In Sea Water, per mil vs AIR)
d15N_n_nitrate_nitrite (D15 N N Nitrate Nitrite, unitless)
conc_avg_nitrate_nitrite (Mole Concentration Of Nitrate In Sea Water, micromolar (uM))
conc_stdev_nitrate_nitrite (Mole Concentration Of Nitrate In Sea Water, micromolar (uM))
conc_n_nitrate_nitrite (unitless)
d15N_avg_nitrate (Mole Concentration Of Nitrate In Sea Water, per mil vs AIR)
d15N_stdev_nitrate (Mole Concentration Of Nitrate In Sea Water, per mil vs AIR)
d15N_n_nitrate (D15 N N Nitrate, unitless)
conc_avg_nitrate (Mole Concentration Of Nitrate In Sea Water, micromolar (uM))
conc_stdev_nitrate (Mole Concentration Of Nitrate In Sea Water, micromolar (uM))
conc_n_nitrate (unitless)


[Southern Ocean zooplankton N isotopes] - Size-fractionated zooplankton d15N from net tows on R/V S.A. Agulhas II cruises VOY016 and VOY019 in the Southern Ocean south of Africa during 2015-2016 (High-resolution, Assemblage-specific Records of Diatom-bound N Isotopes from the Indian Sector of the Antarctic Ocean)

Summary:
This dataset contains N isotope measurements of the different size-fractions of zooplankton collected by net tows.

cdm_data_type = Other
VARIABLES:
cruise (unitless)
ship (unitless)
tow (unitless)
date (unitless)
time_starttow (unitless)
time_endtow (unitless)
size_fraction (micrometers (um))
notes (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
d15Nzoop_avg (D15 Nzoop Avg, per mil vs AIR)
d15Nzoop_sd (D15 Nzoop Sd, per mil vs AIR)
d15Nzoop_n (D15 Nzoop N, unitless)
time (ISO Date Time UTC Starttow, seconds since 1970-01-01T00:00:00Z)
ISO_DateTime_UTC_endtow (ISO Date Time UTC Endtow, unitless)


[Spatial surveys of carbonate chemistry in Kaneohe Bay] - Spatial surveys of carbonate chemistry conducted in Kaneohe Bay, Hawaii from small boats during 2015 to 2017 (CAREER: Biogeochemical Modification of Seawater CO2 Chemistry in Near-Shore Environments: Effect of Ocean Acidification)

Summary:
General study design:\r\nIn this study, seawater carbonate chemistry samples were collected across a spatial array of stations across the barrier reef flat of K\u0101ne\u02bbohe Bay, Hawai\u02bbi. The study was designed to assess spatial variability in carbonate chemistry across the barrier reef flat during the 2015 fall coral bleaching event and during a year of recovery following the coral bleaching.

cdm_data_type = Other
VARIABLES:
sample (unitless)
reefstatus (unitless)
date (unitless)
time2 (Time, unitless)
latitude (degrees_north)
longitude (degrees_east)
temp (Temperature, degrees Celsius)
sal (psu)
ta (micromoles per kilogram (umol/kg))
dic (micromoles per kilogram (umol/kg))
time (ISO Date Time Local, seconds since 1970-01-01T00:00:00Z)


[SPC-UW-ZooCam classified zooplankton images] - Classified Zooplankton ZooCam Images Captured by the Hoodsport ORCA Profiling Mooring Mounted SPC-2 Zoocam in the Hood Canal, Puget Sound, Washington from July to September 2018 (Zooplankton Swimming project) (Causes and consequences of hypoxia and pH impacts on zooplankton: Linking movement behavior  to vertical distribution.)

Summary:
This dataset consists of images of individual zooplankton taken by an in-situ camera system (the SPC UW ZooCam) that was deployed on the Hoodsport ORCA profiling mooring in Hood Canal (Puget Sound), WA in summer 2018. Images were taxonomically identified by expert zooplankton ecologists. These images are sorted into folders by taxonomic identification and were used as a training set for Machine Learning classification of unknown images to study the behavior of zooplankton under varying ocean conditions.

cdm_data_type = Other
VARIABLES:
filename (unitless)
relative_filepath (unitless)
filesize_bytes (bytes)
md5sum (unitless)
latitude (degrees_north)
longitude (degrees_east)
augmented_image_flag (unitless)
datetime_utc (unitless)
roi_x (image_analysis)
roi_y (image_analysis)
roi_w (image_analysis)
roi_h (image_analysis)
roi_image_size (pixels)


[Species key for Hixon and Kindinger datasets] - Species code key for Tye Kindinger datasets on native and invasive predators in the Cayman Islands. (Mechanisms and Consequences of Fish Biodiversity Loss on Atlantic Coral Reefs Caused by Invasive Pacific Lionfish)

Summary:
Species code key for Tye Kindinger datasets on native and invasive predators in the Cayman Islands.

cdm_data_type = Other
VARIABLES:
species_code (unitless)
scientific_name (unitless)
common_name (unitless)


[Species key] - Species key for individuals surveyed in studies conducted by M. Hixon, C. Benkwitt, and T. Kindinger in the Bahamas (Eleuthera), Bonaire, and the Cayman Islands between 2009 and 2015 (Mechanisms and Consequences of Fish Biodiversity Loss on Atlantic Coral Reefs Caused by Invasive Pacific Lionfish)

Summary:
This is a key of all species sampled in the project \Mechanisms and Consequences of Fish Biodiversity Loss on Atlantic Coral Reefs Caused by Invasive Pacific Lionfish.\\r\n\r\nSpecies codes in each related dataset are represented as the first two letters of the genus and species. This key includes the scientific and common names for each of those codes.

cdm_data_type = Other
VARIABLES:
SPECIES_CODE (unitless)
SCIENTIFIC_NAME (unitless)
COMMON_NAME (unitless)


[species list] - Names, codes, and characteristics of species observed during reef surveys in the Bahamas (Lionfish Invasion project) (Ecological Release and Resistance at Sea: Invasion of Atlantic Coral Reefs by Pacific Lionfish)

Summary:
Names, codes, and characteristics of species observed during reef surveys in the Bahamas (Lionfish Invasion project).

cdm_data_type = Other
VARIABLES:
species_code (dimensionless)
species (text)
name_change (0 or 1)
species_new (text)
common_name (text)
family (text)
transient (0 or 1)
piscivore (0 or 1)
herbivore (0 or 1)
mature_lt_5cm (0 or 1)
obligate_cleaner (0 or 1)
faculative_cleaner (0 or 1)
invertebrate (0 or 1)
LW_a (numeric)
LW_b (numeric)
LW_c (numeric)
LW_ref (code)
species_substitute (text)


[Species richness] - Species richness in and out of MPAs in Viti Levu, Fiji from 2010-2012 (Killer Seaweeds project) (Killer Seaweeds: Allelopathy against Fijian Corals)

Summary:
Species richness in and out of MPAs in Viti Levu, Fiji from 2010-2012 (Killer Seaweeds project)

cdm_data_type = Other
VARIABLES:
type (unitless)
site (unitless)
status (unitless)
species (count)
year (unitless)
day (unitless)
transect (unitless)


[Species Sizes] - Lengths of organisms recorded during emergent and rapid emergent surveys conducted in the subtidal zone of northern California, Sonoma and Mendocino counties, from 1999 to 2023 (Collaborative Research: The effects of marine heatwaves on reproduction, larval transport and recruitment in sea urchin metapopulations)

Summary:
The Kelp Forest Monitoring data record span surveys across 24 years from 1999 through 2023 at 20 locations on the Sonoma-Mendocino Coast, Northern California. Years without data, inclusive: 2002, 2020, 2021. These surveys are ongoing and are conducted by the California Department of Fish and Wildlife dive team with participation from dive program partners at UC Davis, UC Santa Cruz, Cal Poly Humboldt, Sonoma State and other dive programs and volunteers. Not all sites were surveyed in all years. Surveys prior to 2003 were not conducted by the same teams or with the same methods except that all surveys were done using Scuba along 30-meter x 2-meter transects randomly placed in the subtidal zone in rocky habitats dominated by bull kelp, Nereocystis luetkeana, forests. These randomly placed band transect surveys were stratified by depth (A=0-15, B=16-30, C=31-45, D=46-60 ft) as we know sea urchin and abalone populations differ by depth.

Organisms along the transect were identified and measured on the longest axis to the nearest millimeter by the divers. Sea urchin and abalone species were identified and measured for every dive transect. However, data on associated species differed depending on resources, the year, and the focus of the studies in response to ecosystem conditions.

cdm_data_type = Other
VARIABLES:
Survey_Num (unitless)
DFW_short_code (unitless)
SiteName (unitless)
latitude (degrees_north)
longitude (degrees_east)
SurveyType (unitless)
SurveyDate (unitless)
Year (unitless)
Month (unitless)
Day (unitless)
Timezone (unitless)
SpeciesID (unitless)
ScientificName (unitless)
... (7 more variables)


[Specific Dynamic Action of larval grunion - Experiment 1] - Differences in mean oxygen consumption of fed and unfed larvae used to understand the metabolic cost of digestion, Specific Dynamic Action (SDA), under ocean acidification and warming treatments - Experiment 1 (RUI: Evaluating selection via ocean acidification and evolutionary responses of two coastal fishes)

Summary:
These data include the differences in mean oxygen consumption of fed and unfed larvae used to understand the metabolic cost of digestion, Specific Dynamic Action (SDA), under ocean acidification and warming treatments. Data was collected in the summers of 2021 and 2022 using a microplate reader system that uses optical fluorescence to measure dissolved oxygen concentrations in water. Knowing the energetic cost of digestion under future climate change is important as studies, particularly on larval fish, begin to investigate how energy budgets will change. These data help us to understand an important part of daily metabolic costs and how that cost might change under ocean acidification and warming. Data were collected by Emma Siegfried and Dr. Darren Johnson at California State University, Long Beach. These data are from Experiment 1 and they contain delta VO2 values to describe the SDA curve for a single feeding at a single temperature (20 degrees Celsius).

cdm_data_type = Other
VARIABLES:
time_elapsed (hours)
deltaVO2 (milligrams O2 per liter per hour)
deltaVO2_SE (milligrams O2 per liter per hour)
DPH (days)


[Specific Dynamic Action of larval grunion - Experiments 2a and 2b] - Differences in mean oxygen consumption of fed and unfed larvae used to understand the metabolic cost of digestion, Specific Dynamic Action (SDA), under ocean acidification and warming treatments - Experiments 2a and 2b (RUI: Evaluating selection via ocean acidification and evolutionary responses of two coastal fishes)

Summary:
These data include the differences in mean oxygen consumption of fed and unfed larvae used to understand the metabolic cost of digestion, Specific Dynamic Action (SDA), under ocean acidification and warming treatments. Data was collected in the summers of 2021 and 2022 using a microplate reader system that uses optical fluorescence to measure dissolved oxygen concentrations in water. Knowing the energetic cost of digestion under future climate change is important as studies, particularly on larval fish, begin to investigate how energy budgets will change. These data help us to understand an important part of daily metabolic costs and how that cost might change under ocean acidification and warming. Data were collected by Emma Siegfried and Dr. Darren Johnson at California State University, Long Beach. These data are from experiments 2a and 2b. Experiment 2a contains delta VO2 values to describe the SDA curve for a single feeding under 4 experimental treatments (low temperature & low CO2; low temperature & high CO2; high temperature & low CO2; high temperature & high CO2). In experiment 2a, food ration was increased at high temperatures. Experiment 2b contains delta VO2 values to describe the SDA curve for a single feeding under the same 4 experimental treatments, except that food ration was held constant across all temperature and CO2 treatments.

cdm_data_type = Other
VARIABLES:
experiment_ID (unitless)
DPH (days)
deltaVO2 (milligrams O2 per liter per hour)
deltaVO2_SE (milligrams O2 per liter per hour)
temperature (degrees Celsius)
OA_treat (unitless)
pCO2 (microatmospheres)
time_elapsed (hours)


[SPG] - Modeling bio-energetics for South Pacific Gyre marine sediment at site U1370 (Develop a 1D biogeochemical-evolutionary model for deep sediments)

Summary:
This data relates to the calculation of bio-energetics for South Pacific Gyre marine sediment (site U1370).

cdm_data_type = Other
VARIABLES:
latitude (degrees_north)
longitude (degrees_east)
Depth_below_SWI (Depth, meters (m))
Age (years)
Porosity (unitless)
TOC (grams of Carbon per centimeter cubed (g C/cm3))
POC_degradation_rate (grams of Carbon per centimeter cubed per year (g C cm-3 y-1))
Biomass (cells per centimeter cubed (cells/cm3))
Necromass_produced (cells per centimeter cubed per year (cells cm-3 y-1))
Specific_death_rate (per year (y-1))
Small_cell_size_Necromass_C_mass (grams of Carbon per centimeter cubed per year (g C cm-3 y-1))
small_size_power_from_necromass_plus_O2 (Jules per year (J y-1))
Medium_cell_size_Necromass_C_mass (grams of Carbon per centimeter cubed per year (g C cm-3 y-1))
medium_size_power_from_necromass_plus_O2 ((J y-1))
Large_cell_size_Necromass_C_mass (grams of Carbon per centimeter cubed per year (g C cm-3 y-1))
large_size_power_from_necromass_plus_O2 (Jules per year (J y-1))
Acetate_Power_POC_plus_O2 (Jules per year (J y-1))
Type_III_IV_kerogen_Power_POC_plus_O2 (Jules per year (J y-1))
Lipid_n_alkane_Power_POC_plus_O2 (Jules per year (J y-1))
Power_H2_plus_O2 (Jules per year (J y-1))


[spherical_par] - Photosynthetically available radiation (PAR) from R/V Endeavor cruises in the Gulf of Maine and Georges Bank in 1995 as part of the U.S. GLOBEC program (GB project) (U.S. GLOBEC Georges Bank)

Summary:
Photosynthetically available radiation (PAR) from R/V Endeavor cruises in the Gulf of Maine and Georges Bank in 1995 as part of the U.S. GLOBEC program

cdm_data_type = Other
VARIABLES:
cruiseid
platform
region
cast
station
day_local
month_local
year_local
timezone
latitude (degrees_north)
longitude (degrees_east)
time_local (hours and minutes)
depth (m)
par_d (microEinstein/meter^2/second PAR (400-700nm))
par_platform (microEinstein/meter^2/second PAR (400-700nm))


[Sponge Coral Picoplankton Incubation Experiment - NCBI] - Microbiome profiling of bacterioplankton communities on sponge excurrent water, coral exudate water, and surface reef water. (Collaborative Research: The Influence of Sponge Holobiont Metabolism on Coral Reef Dissolved Organic Matter and Reef Microorganisms)

Summary:
Sponge exhalent water was collected from Looe Key reef, coral exudates water was collected from a coral incubation at Mote Marine lab, and ambient reef water was collected from Looe Key Reef surface water. All seawater was 0.2 um filtered to use as media in 2L bottles for an incubation experiment. Inoculum from reef surface water (1.6 um filtered) was used for the incubation. Bottles were incubated in the dark for 48 hours and samples were taken at the start (T0) and end (T48) for nutrient and microbiome analysis.

cdm_data_type = Other
VARIABLES:
Bioproject_Accession (unitless)
Biosample_accession (unitless)
Sample_Name (unitless)
SRA_run_ID (unitless)
SRA_run_link (unitless)
SPUID (unitless)
Organism (unitless)
Tax_ID (unitless)
library_ID (unitless)
SRA_study_ID (unitless)
SRA_title (unitless)
library_strategy (unitless)
library_source (unitless)
library_selection (unitless)
library_layout (unitless)
platform (unitless)
instrument_model (unitless)
design_description (unitless)
filetype (unitless)
filename (unitless)
filetype2 (unitless)
filename2 (unitless)
... (4 more variables)


[Sponge Coral Picoplankton Incubation Experiment] - Effects of sponge excurrent seawater on coral reef picoplankton composition in the Florida Keys January 2022 (Collaborative Research: The Influence of Sponge Holobiont Metabolism on Coral Reef Dissolved Organic Matter and Reef Microorganisms)

Summary:
Sponge exhalent water was collected from Looe Key reef, coral exudates water was collected from a coral incubation at Mote Marine lab, and ambient reef water was collected from Looe Key Reef surface water. All seawater was 0.2 um filtered to use as media in 2L bottles for an incubation experiment. Inoculum from reef surface water (1.6 um filtered) was used for the incubation. Bottles were incubated in the dark for 48 hours and samples were taken at the start (T0) and end (T48) for nutrient and microbiome analysis.

cdm_data_type = Other
VARIABLES:
SampleID (unitless)
latitude (degrees_north)
longitude (degrees_east)
sampling_date
Trtmt (unitless)
time_hours (Time, hours)
PO4 (micromolar per liter (µM/L))
NOx (micromolar per liter (µM/L))
Silicate (micromoles per liter (µM/L))
NH4 (micromolar per liter (µM/L))
TOC (micromolar per liter (µM)/L)
TON (micromolar per liter (µM/L))
metabolite_2_3_dihydroxypropane_1_sulfonate (picomolar (pM))
metabolite_2_3_dihydroxybenzoic_acid (picomolar (pM))
metabolite_2_deoxycytidine (picomolar (pM))
metabolite_2_methyl_4_oxopentanoic (picomolar (pM))
metabolite_2_Keto_3_deoxy_6_phosphogluconate (picomolar (pM))
metabolite_3_methyl_2_oxobutanoic_acid (picomolar (pM))
metabolite_4_aminobenzoic_acid (picomolar (pM))
metabolite_4_methyl_2_oxopentanoic_acid (picomolar (pM))
metabolite_6_hydroxymelatonin (picomolar (pM))
metabolite_adenine (picomolar (pM))
... (82 more variables)


[Sponge density and cover] - Percent cover and density of sponges at multiple sites in Caribbean and Pacific from shallow to mesophotic depths (Collaborative Research: Sponge Growth is Nitrogen Limited over the Shallow to Mesophotic Depth Gradient)

Summary:
Percent cover and density of sponges at multiple sites in Caribbean and Pacific from shallow to mesophotic depths.

cdm_data_type = Other
VARIABLES:
site (unitless)
latitude (degrees_north)
longitude (degrees_east)
Notes (unitless)
depth (m)
Percent_Cover (variable)
Percent_Cover_SE (percent (%))
Abundance (per meter squared (m^-2))
Abundance_SE (per meter squared (m^-2))


[Sponge Density, Morphology, and Assemblages] - Sponge Density, Morphology, and Assemblages from repeated surveys in St. Thomas, U.S. Virgin Islands, before and after the 2017 hurricane season (RAPID: Collaborative Research: Sponge resilience in the face of multiple stressors)

Summary:
Prior to the 2017 hurricanes, six shallow (8-15 meter depth) reef sites had been selected from the Virgin Islands Territorial Coral Reef Monitoring Program's (TCRMP) permanent monitoring sites to study variation in sponge communities- Black Point (BP), Coculus Rock (CR), and Magens Bay (MB), which are in embayments with heavily developed watersheds. Buck Island (BI) and Savana Island (SI) are located near undeveloped offshore cays. Botany Bay (BB) is a nearshore site in a bay with a low level of watershed development.

This dataset represents sponge density, morphology, and assemblages from these repeated surveys before and after the 2017 hurricane season. We used three randomly selected transects out of the six permanently established 10-meter TCRMP transects at each site. The same three transects at each site were re-surveyed repeatedly in August 2016 (pre-hurricanes), December 2017 (10 weeks post-hurricanes), March 2018 (24 weeks post-hurricanes), November 2018 (61 weeks post-hurricanes), and July 2019 (93 weeks post-hurricanes).

cdm_data_type = Other
VARIABLES:
Year (unitless)
Site (unitless)
Latitude (degrees_north)
Longitude (degrees_east)
Transect (unitless)
pcnt_Excavating (percent)
pcnt_Encrusting (percent)
pcnt_Massive (percent)
pcnt_Upright (percent)
Sponge_density (number of sponges per square meter)
Oscarella_filipoi (unitless)
Oscarella_sp_1 (unitless)
Oscarella_sp_2 (unitless)
Plakinastrella_cf_onkodes (unitless)
Plakortis_angulospiculatus (unitless)
... (148 more variables)


[Sponge density, morphology, benthos percent cover] - Sponge density and morphology and percent cover of sponges and associated community at Virgin Islands Territorial Coral Reef Monitoring Program site, pre- and post-hurricane, 2015-2017 (RAPID: Collaborative Research: Sponge resilience in the face of multiple stressors)

Summary:
Sponge density and morphology and percent cover of sponges and associated benthic community determined from videos of three transects at Virgin Islands Territorial Coral Reef Monitoring Program site, pre- and post-hurricane, 2015-2017.

cdm_data_type = Other
VARIABLES:
Year (unitless)
Site (unitless)
site_name (unitless)
latitude (degrees_north)
longitude (degrees_east)
site_description (unitless)
Transect (unitless)
Sponge_density (sponges/meter^2)
Encrusting_pcent (percent (%))
Excavating_pcent (percent (%))
Massive_pcent (percent (%))
Upright_pcent (percent (%))
calcareous_algae (percent (%))
coral (percent (%))
cyanobacterial_mats (percent (%))
epilithic_algal_community (percent (%))
gorgonians (percent (%))
macroalgae (percent (%))
non_living (percent (%))
other_unknown_living (percent (%))
zoanthids (percent (%))


[Sponge holobiont accessions and metadata] - NCBI accessions and metadata associated with Caribbean sponge metagenomes collected from Curacao, Belize, Cayman Islands and St. Croix, 2009 and 2017-2018 (Collaborative Research: Dimensions: Evolutionary Ecology of Sponges and Their Microbiome Drives Sponge Diversity on Coral Reefs)

Summary:
NCBI accessions and metadata associated with Caribbean sponge metagenomes collected from Curacao, Belize, Cayman Islands and St. Croix, 2009 and 2017-2018.

cdm_data_type = Other
VARIABLES:
BioProject (Bio Project, unitless)
BioSample (Bio Sample, unitless)
Sample_name (unitless)
sample_type (unitless)
host (unitless)
collection_date (unitless)
geographic_location (unitless)
latitude (degrees_north)
longitude (degrees_east)
source_material_identifiers (unitless)
depth_ (Depth, feet seawater (fsw) or meters)


[Sponge volume] - Sponge volume at Virgin Islands Territorial Coral Reef Monitoring Program’s (TCRMP) permanent monitoring sites, 2015-2017 (RAPID: Collaborative Research: Sponge resilience in the face of multiple stressors)

Summary:
Sponge volume at Virgin Islands Territorial Coral Reef Monitoring Program\u2019s (TCRMP) permanent monitoring sites, 2015-2017.

cdm_data_type = Other
VARIABLES:
year (unitless)
site (unitless)
site_name (unitless)
site_description (unitless)
latitude (degrees_north)
longitude (degrees_east)
quadrat (unitless)
sponge_volume (centimeters^3 of sponge/meter^2 (cm3/m2))


[Sponge-Associated Microbial Communities (via 16S-V4 rRNA amplicon  sequencing) Following Storm-Driven Flooding] - SRA accessions and collection information for 16S-V4 rRNA amplicon data from invertebrates sampled at Flower Garden Banks National Marine Sanctuary, Gulf of Mexico following Tax Day Flooding (2016), Hurricane Harvey (2017), and a no flooding year (2018) (RAPID: Collaborative Research: Impact of freshwater runoff from Hurricane Harvey on coral reef benthic organisms and associated microbial communities)

Summary:
To document the effects of storm-driven freshwater runoff on\u00a0sponge-
associated microbiomes, we leveraged the heavy rainfall\u00a0associated with
Tax Day Flooding (July 2016) and Hurricane Harvey\u00a0(August 2017) to
characterize sponge-associated bacterial communities\u00a0at five time points:
in July 2016 (at detection of the mortality\u00a0event), one month after the
mortality event (August 2016), immediately\u00a0after Hurricane Harvey
(September 2017), one month after Hurricane\u00a0Harvey (October 2017), and
approximately one year following Hurricane\u00a0Harvey (October 2018).

These data contain Sequence Read Archive (SRA) and BioSample accession numbers
associated with BioProject\u00a0PRJNA605902
(see\u00a0[https://www.ncbi.nlm.nih.gov/bioproject/605902](\\https://www.ncbi.nlm.nih.gov/bioproject/605902\\))\u00a0at
The National Center for Biotechnology Information.

cdm_data_type = Other
VARIABLES:
Sample_Name (unitless)
Collection_Date_Start (unitless)
Collection_Date_End (unitless)
Depth_min (Depth, meters (m))
depth (m)
Bank (unitless)
Species (unitless)
SRA (unitless)
Accession (unitless)
latitude (degrees_north)
longitude (degrees_east)


[Sponge-microbe interaction review] - Literature review of sponge-microbe interactions on sixteen characteristics of 82 sponges. (Collaborative Research: Investigations into microbially mediated ecological diversification in sponges)

Summary:
This dataset compiles information from a literature review (Freeman et al., 2021) of seminal and recent papers focusing on sponge ecology and sponge-microbe interactions. Data (when available in the literature) on sixteen characteristics of 82 sponge species from diverse subclasses are included. These data include enumeration of overall microbial abundance (High and Low Microbial Abundance: HMA and LMA), chemical defense allocation patterns and overall palatability in feeding assays, nutritional quality (carbohydrate, protein, lipid, and energy content), physical characteristics (tensile strength, ash content, tissue density), photosymbiont abundance (chlorophyll a concentration) physiology and metabolism (pumping rate, NOx production), nutrition (% of carbon derived from dissolved organic matter, detritus, and living particulate organic matter), and microbial symbiont diversity (expressed as the inverse Simpson's index).

cdm_data_type = Other
VARIABLES:
Sponge_Species (unitless)
Class (unitless)
Subclass (unitless)
Order (unitless)
Family (unitless)
HMA_LMA (unitless)
palatability (unitless)
ash (milligrams per ml of sponge tissue (mg/ml))
tensile (Newtons per m x 10^5 (N/m x 10^5))
carbohydrate (milligrams per ml of sponge tissue (mg/ml))
protein (milligrams per ml of sponge tissue (mg/ml))
lipid (milligrams per ml of sponge tissue (mg/ml))
energy (Kilojoules per ml (kJ/ml))
mean_ChlA (Micrograms of chlorophyll a per gram of sponge tissue (ug chl a/gram of sponge tissue))
inverse_Simpson (unitless)
NOx (unitless)
pump_Rate (liters per second per liter of sponge tissue)
DOC (percentage (%))
DET (percentage (%))
LPOC (percentage (%))
Density (grams per ml (g/ml))