[Dive record, Zooglider BioSWOT-Med (BioSWOT-Med)] - Zooglider dive record from the BIOSWOT-Med cruise in the Northwestern Mediterranean Sea, March-May 2023 (Zooglider assessment of zooplankton frontal gradients across the BIOSWOT-Med region)

Summary:
These data are based on deployment of the Scripps Zooglider in collaboration with the French-led BIOSWOT-Med study in the Northwestern Mediterranean Sea in Spring 2023. This study was one of the Adopt-a-Crossover field studies carried out around the world in synchrony with the launch by NASA/CNES of the new SWOT satellite for enhanced ocean altimetry. We deployed Zooglider on 30 March 2023 from Palma, Majora using a small craft, then navigated it remotely to the BIOSWOT-Med study region. Initially Zooglider sampled to the east of Majorca and south of Menorca. Then we recovered Zooglider at sea, transported it to the center of an anticyclonic eddy north of Menorca, and redeployed it, navigating it from the eddy center across the eddy periphery. We then recovered it at sea on 8 May 2023, for a total mission duration of 40 days. Zooglider data were telemetered back to our server each time the vehicle surfaced and the data were immediately posted on our public website, available to all BIOSWOT-Med participants and any member of the general public. This dataset presents the dive record and location information for Zooglider's track.

cdm_data_type = Other
VARIABLES:
Dive_number (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
from_date_UTC (unitless)
to_date_UTC (unitless)
sample_volume_ml (mL)
from_time_UTC (unitless)
to_time_UTC (unitless)
latitude_start (decimal degrees)
longitude_start (decimal degrees)
latitude (Latitude_mid_ascent_75, degrees_north)
longitude (Longitude_mid_ascent_75, degrees_east)
latitude_end (decimal degrees)
longitude_end (decimal degrees)
max_pressure (decimbars)


[DOC and DON Concentrations] - DOC and DON concentrations of waters collected from the North Pacific Subtropical Gyre and Central North Atlantic (The Microbial Nitrogen Pump: Coupling 14C and Compound-specific Amino Acids to Understand the Role of Microbial Transformations in the Refractory Ocean DON Pool)

Summary:
DOC and DON concentrations of waters collected from the North Pacific Subtropical Gyre and Central North Atlantic. These data were published in Broek et al. (2019) and Broek et al. (2017).

cdm_data_type = Other
VARIABLES:
location (unitless)
year (unitless)
season (unitless)
depth (m)
DOC (micromoles per liter (umol/L))
DOC_stdev (micromoles per liter (umol/L))
DON (micromoles per liter (umol/L))
DON_stdev (micromoles per liter (umol/L))


[DOC and TOC data] - Dissolved and total organic carbon concentrations of seawater collected in the northwestern Atlantic in 2024 during three cruises aboard the Atlantic Explorer (AE2412, AE2426b, AE2427) (Collaborative Research: Quantifying the role of microbial extracellular vesicles in marine dissolved organic matter production and consumption)

Summary:
Data on the concentration of dissolved organic carbon and total organic carbon provide the environmental context for us to understand the role that extracellular vesicles play in marine organic carbon cycling. These data are from discrete seawater samples collected from Niskin bottles or from the underway systems during three cruises (AE2412, AE2426b, AE2427) conducted in 2024. All cruises were in the northwestern Atlantic Ocean. Seawater was whole seawater for total organic carbon or 0.2 uM-filtered seawater for dissolved organic carbon. Samples were analyzed by high temperature combustion. The samples were collected and processed by Krista Longnecker of Woods Hole Oceanographic Institution.

cdm_data_type = Other
VARIABLES:
Cruise (dimensionless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Cast (dimensionless)
depth (m)
Source (dimensionless)
SampleType (dimensionless)
NPOC (micromolar (uM))


[Doliolid diet: lab chlorophyll, carbon, nitrogen] - Doliolid abundance, carbon and nitrogen content, chlorophyll-a, temperature, salinity, and depth from CTD casts from 25 RV Savannah cruises at the South Atlantic Bight, 2015-2017 (The cryptic diet of the globally significant pelagic tunicate Dolioletta gegenbauri (Uljanin, 1884.))

Summary:
Doliolid abundance, carbon and nitrogen content, chlorophyll-a, temperature, salinity, and depth from CTD casts from 25 RV Savannah cruises at the South Atlantic Bight, 2015-2017.

cdm_data_type = Other
VARIABLES:
cruise_id (unitless)
alt_cruise_id (unitless)
cast (unitless)
date_local (unitless)
depth (m)
latitude (degrees_north)
longitude (degrees_east)
temp_surface (degrees Celsius)
temp_bottom (degrees Celsius)
sal_surface (Practical Salinity Units (PSU))
sal_bottom (Practical Salinity Units (PSU))
chla_surface_fluor (Concentration Of Chlorophyll In Sea Water, mg m-3)
chla_bottom_fluor (Concentration Of Chlorophyll In Sea Water, mg m-3)
chla_nr_bot_extr (Concentration Of Chlorophyll In Sea Water, mg m-3)
phaeo_total_nr_bot_extr (mg m-3)
gt8uml_chla_nr_bot_extr (Concentration Of Chlorophyll In Sea Water, mg m-3)
gt8uml_phaeo_nr_bot_extr (mg m-3)
POC_ug (ug C L-1)
POC_moles (moles C L-1)
PON_ug (ug N L-1)
PON_moles (moles N L-1)
lt10um_POC_ug (ug C L-1)
lt10um_POC_moles (moles C L-1)
lt10um_PON_ug (ug N L-1)
lt10um_PON_moles (moles N L-1)
POC_13C (POC 13 C, per mil vs PDB standard)
... (11 more variables)


[Doliolid diet: zooplankton abundance] - Zooplankton community abundances from meter net tows on multiple cruises on RV/Savannah in the South Atlantic Bight, Mid-Continental Shelf from 2015-2017 (The cryptic diet of the globally significant pelagic tunicate Dolioletta gegenbauri (Uljanin, 1884.))

Summary:
Zooplankton community abundances from meter net tows taken on multiple cruises RV/Savannah cruises in the South Atlantic Bight, Mid-Continental Shelf from August 2015 to December 2017.

cdm_data_type = Other
VARIABLES:
cruise_id (unitless)
date (unitless)
latitude (degrees_north)
longitude (degrees_east)
cast (unitless)
station_depth_water (meters)
mesh (microns)
replicate (unitless)
time_tow (unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
vol_filt (cubic meters (m^3))
splits (splits)
taxon_1 (unitless)
taxon_2 (unitless)
dilution_factor (unitless)
count_aliquot_1 (number of individuals per sample)
count_aliquot_2 (number of individuals per sample)
count_mean (number of individuals per sample)
count_sample (number of individuals per sample)
abundance_m3 (individuals per cubic meter of water)


[DOM remineralization bioassays] - Bacterial abundance, bacterial organic carbon, and total organic carbon from remineralization bioassays conducted on R/V Robert Gordon Sproul cruises along the Southern California coast during July and August 2023 (Postdoctoral Fellowship: OCE-PRF: Smoke on the water: the impacts of wildfire ash deposition on surface ocean biology)

Summary:
These data include bacterial abundance, bacterial organic carbon, and total organic carbon from remineralization bioassays conducted to assess bacterioplankton growth and DOC degradation. Experiments were conducted on cruises aboard the R/V Robert Gordon Sproul (SP2319, SP2320) between dates 2023-07-28 and 2023-08-19 along the Southern California coast.

Deposition of wildfire ash on the ocean can fertilize microbial production but also has the potential to inhibit microbial growth due to heavy metal toxicity. The data collected from these field experiments can contribute to elevating understanding of wildfire-driven material transfer from the terrestrial system to the ocean and its impact on carbon and energy flow in marine food webs. These data were collected by Dr. Nicholas Baetge,  Dr. Allen Milligan, Brian Ver Wey, and Parker Hansen of Oregon State University. Data were also collected by Dr. Craig Carlson, Elisa Halewood, and Keri Opalk of the University of California Santa Barbara

cdm_data_type = Other
VARIABLES:
stn (unitless)
latitude (degrees_north)
longitude (degrees_east)
time (Dt, seconds since 1970-01-01T00:00:00Z)
trt (unitless)
bact_cells (cells per milliliter)
sd_bact_cells (cells per milliliter)
boc (micromoles C per liter (umol C/L))
mean_toc (micromoles C per liter (umol C/L))
sd_toc (micromoles C per liter (umol C/L))


[Domoic acid assimilation in copepods] - Domoic acid assimilation in copepods from experiments conducted using water samples collected in northern Gulf of Mexico in 2019 (The biotic and abiotic controls on the Silicon cycle in the northern Gulf of Mexico)

Summary:
Domoic acid assimilation in copepods by consuming organic polymers containing domoic acid.  Results from lab experiments designed to investigate the role of organic polymers in trophic transfer of domoic acid, using Acartia tonsa as a model organism.  Water samples were collected in the northern Gulf of Mexico in 2019.

cdm_data_type = Other
VARIABLES:
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Date (unitless)
time2 (Time, unitless)
Experiment (unitless)
Treatment (unitless)
Replicate_bottle (unitless)
Num_copepods (integer)
cDA_mass (C DA Mass, nanograms (ng))
cDA_indiv (C DA Indiv, picograms (pg) per copepod)


[DON concentration and DON d15N] - Measurements of dissolved organic nitrogen concentration and d15N from R/V Atlantis and R/V Melville cruises in the Eastern Tropical South Pacific from 2010 to 2011. (Collaborative Research: Documenting N2 fixation in N deficient waters of the Eastern Tropical South Pacific)

Summary:
Measurements of dissolved organic nitrogen concentration and d15N from R/V Atlantis and R/V Melville cruises in the Eastern Tropical South Pacific from 2010 to 2011.

cdm_data_type = Other
VARIABLES:
deployment (unitless)
cruise_year (unitless)
date (unitless)
station (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
NO3_NO2 (Mole Concentration Of Nitrate In Sea Water, uM)
NO3_NO2_d15N (Mole Concentration Of Nitrate In Sea Water, ppm vs air)
DON (uM)
DON_stdev (uM)
DON_d15N (DON D15 N, ppm vs air)
DON_d15N_stdev (DON D15 N Stdev, ppm vs air)


[DON_Oxidation] - Dissolved Organic Nitrogen oxidation collected on cruise SAV 17-16 in the South Atlantic Bight aboard the R/V Savannah from 2011 to 2017 (Collaborative Research: Direct Oxidation of Organic Nitrogen by Marine Ammonia Oxidizing Organisms)

Summary:
This dataset contains the results of analyses related to ammonia oxidation rates, including oxidation rates of 15N supplied as ammonia, urea, 1,2 diamino ethane, 1,3 diamino propane, 1,4 diamino butane (putrescine), arginine and glutamate. Ancillary data including nutrient concentrations and the abundance of ammonia- and nitrite-oxidizing microorganisms are also reported. The samples analyzed to produce the dataset were collected off the coast of Georgia, USA. Most data were collected on one cruise in August 2017, incidental data from 2011, 2013 and 2016 are also reported.

cdm_data_type = Other
VARIABLES:
Cruise_ID (unitless)
Sta (unitless)
Region (unitless)
depth (m)
longitude (degrees_east)
latitude (degrees_north)
latitude2 (Latitude, degrees and decimal minutes N)
longitude2 (Longitude, degrees and decimal minutes W)
Date (unitless)
ISO_Date (unitless)
Bacterial_16S_rRNA (Bacterial 16 S R RNA, copies per liter filtered)
Thaumarchaeal_16S_rRNA (Thaumarchaeal 16 S R RNA, copies per liter filtered)
WCA_amoA (WCA Amo A, copies per liter filtered)
WCB_amoA (WCB Amo A, copies per liter filtered)
Nitrospina_16S_rRNA (Nitrospina 16 S R RNA, copies per liter filtered)
N15_added (nanomoles per liter)
Ammonia_Oxidation (nanomoles per liter per day)
Ammonia_Oxidation_sd (nanomoles per liter per day)
N15_ox_from_PUT (nanomoles per liter per day)
N15_ox_from_PUT_sd (nanomoles per liter per day)
N15_ox_from_GLU (nanomoles per liter per day)
... (21 more variables)


[Dongsha Atoll Coral Calcification Rates] - Annual calcification rate time series of Porites corals on Dongsha Atoll (Can Coral Reefs in the Central Pacific Survive Ocean Warming? A 2015 El Nino Test)

Summary:
Annual calcification rate time series of Porites corals on Dongsha Atoll.

cdm_data_type = Other
VARIABLES:
location (unitless)
latitude (degrees_north)
longitude (degrees_east)
core_id (unitless)
status_July_2015 (unitless)
stress_bands (unitless)
year (unitless)
calcification_rate (grams per centimeter per year (g cm-2 yr-1))


[Dongsha Atoll Ecological Survey Data] - Ecological survey data from benthic photo-quadrat surveys done on Dongsha Atoll pre- and post- bleaching event in 2015 (Can Coral Reefs in the Central Pacific Survive Ocean Warming? A 2015 El Nino Test)

Summary:
Ecological survey data from benthic photo-quadrat surveys done on Dongsha Atoll pre- and post- bleaching event in 2015.

cdm_data_type = Other
VARIABLES:
site (unitless)
latitude (degrees_north)
longitude (degrees_east)
status (unitless)
species_or_substrate_type (unitless)
survey_date (unitless)
count (unitless (counts))


[Doo et al. 2018, Coral Reefs - Mesocosm buoyant weight data] - Calcification of coral from the start and end of experiments under elevated concentrations of temperature and carbon dioxide (Moorea Coral Reef Long-Term Ecological Research site)

Summary:
Calcification of coral from the start and end of experiments under elevated concentrations of temperature and carbon dioxide.

cdm_data_type = Other
VARIABLES:
Coral_number (unitless)
pH (unitless)
Temperature (unitless)
Crab (unitless)
Growth (grams)


[Doo et al. 2018, Coral Reefs - Mesocosm chemistry data] - Seawater chemistry treatment conditions (Moorea Coral Reef Long-Term Ecological Research site)

Summary:
Seawater chemistry treatment conditions from experiments on coral calcification.

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
Tank_no (unitless)
TA (micromoles per kilogram (umol kg-1))
pH (Sea Water Ph Reported On Total Scale, unitless (pH scale))
Salinity (Sea Water Practical Salinity, PSU)
Temperature (degrees Celsius)
Light (micromoles photons per meter squared per second (umol photons m-2 sec -1))


[DOPv2021] - DOP concentration observations from the global ocean between 1990 and 2021 (DOP N2 fixation and export production project) (Collaborative Research: Dissolved organic phosphorus controls on marine nitrogen fixation and export production)

Summary:
DOP (Dissolved Organic Phosphorus) concentration observations in the global ocean between 1990 and 2021 over multiple deployments. DOP concentrations in this study were calculated as the difference between TDP concentrations and SRP concentrations of samples. For DOP concentrations reported here, TDP concentrations were measured by the ash/hydrolysis method based on Monaghan and Ruttenberg, 1999.

cdm_data_type = Other
VARIABLES:
EXPOCODE (unitless)
cruise (unitless)
date (unitless)
StationID (unitless)
BottleID (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
Temperature (degrees Celsius)
Salinity (psu)
NO3_plus_NO2 (uM)
SRP (uM)
DOP (uM)
DOP_flag (unitless)
region (unitless)
method (unitless)
reference (unitless)


[DOS, DOP, DOBr, and DOI depth profiles from BATS and HOT] - Dissolved organic compound (DOS, DOP, DOBr, DOI) depth profiles collected at the Bermuda Atlantic Time Series Station (BATS) in August 2019 and at the Hawaii Ocean Time Series Station Aloha in July 2021 (The fate of lysis products of picocyanobacteria contributes to marine humic-like chromophoric dissolved organic matter)

Summary:
This dataset contains the Dissolved organic sulfur (DOS), dissolved organic phosphorus (DOP), dissolved organic bromine (DOBr) and dissolved organic iodine (DOI) data obtained ICP-MS analysis of solid-phase extracted samples collected at the BATS station (August 2019) and HOT station ALOHA (July 2021). These data are complementary to the fluorescence data set that was sampled at 200 m depth intervals in both the Central North Atlantic (BATS) and Central North Pacific (ALOHA). While the focus of study is to better understand a marine source of fluorescent dissolved organic matter (DOM) (i.e., picocyanobacteria), these data were collected to evaluate whether these heteroatoms within DOM follow the same trends with depth as the fluorescent components determined by parallel factor analysis of 3D fluorescence spectra. Briefly, DOM was isolated by solid phase extraction from 10L seawater samples that were collected from the surface to the seafloor at each station, resulting in 10 mL methanolic extracts for each sample. Extracts were stored at -20 degrees C until analysis in our home laboratory. Portions of these extracts were dried completely and re-dissolved in ultrapure water prior to DOS, DOP, DOBr, or DOI analysis by inductively coupled plasma-mass spectrometry.

cdm_data_type = Other
VARIABLES:
location (unitless)
start_date (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
DOS (nanomolar (nM))
DOP (nanomolar (nM))
DOBr (nanomolar (nM))
DOI (nanomolar (nM))


[Dose response evaluation of oyster shell strengthening in response to homarine and trigonelline] - Juvenile oyster shell strength measurements from a dose response assay of chemical cues homarine and trigonelline conducted at Dauphin Island Sea Lab, Dauphin Island, AL in June - August 2021 (Collaborative Research: Keystone chemicals: Identifying general and universal molecules of fear)

Summary:
These data include measurements of juvenile oyster shell strength from a dose response experiment conducted at Dauphin Island Sea Lab, Dauphin Island, AL in June - August of 2021.
Study description:

Homarine and trigonelline are two blue crab urine metabolites that cause juvenile oysters to strengthen their shells are a defensive response. We evaluated the dose dependency of this response with a dose-response experiment where homarine and trigonelline concentrations (of each individual chemical and a combination of the two) spanned 5 log half-steps. Juvenile oysters were exposed to chemicals for 8 weeks and their shell strength (N) was measured and standardized to the size of the animals (mm) as a proxy for understanding this defense.

cdm_data_type = Other
VARIABLES:
ID (unitless)
Block (unitless)
Treatment (unitless)
Replicate (unitless)
Pair (unitless)
Tile (unitless)
Individual (unitless)
size (millimeters (mm))
crushing_force (newtons (N))
stand_crushing_force (newtons per millimeter (N/mm))


[Dose response evaluation of oyster shell strengthening to varying blue crab urine concentrations] - Juvenile oyster shell strength measurements from a dose response experiment with an array of blue crab urine concentrations conducted at Dauphin Island Sea Lab, Dauphin Island, AL in August - Oct 2022 (Collaborative Research: Keystone chemicals: Identifying general and universal molecules of fear)

Summary:
These data include measurements of juvenile oyster shell strength from a dose response experiment of varying blue crab urine concentrations conducted at Dauphin Island Sea Lab, Dauphin Island, AL in August - Oct 2022.
Study description:

Metabolites from blue crab urine are known to cause shell strengthening in juvenile oysters as a defensive response. Previous studies have identified several bioactive molecules in urine that induce this response in oysters, but others have yet to be identified. In the current study, an array of concentrations of blue crab urine was used to treat oyster juveniles in order to assess the dose-dependency of this response. Oysters were exposed to urine treatments for 8 weeks and their shell strength (N) was measured and standardized to the size of the animals (mm) as a proxy for understanding this defense.

cdm_data_type = Other
VARIABLES:
ID (unitless)
Diet (unitless)
Treatment (unitless)
Dose (unitless)
Replicate (unitless)
Pair (unitless)
Tile (unitless)
Individual (unitless)
size (millimeters (mm))
crushing_force_N (newtons (N))
stand_crushing_force (newtons per millimeter (N/mm))


[Drifter data] - Trajectories of fifty-five biodegradable drifters in the Belizean Barrier Reef. (An Integrative Investigation of Population Connectivity Using a Coral Reef Fish)

Summary:
Trajectories of fifty-five biodegradable drifters in the Belizean Barrier Reef.

cdm_data_type = Other
VARIABLES:
orig_file_name (unitless)
GPS_dataType (GPS Data Type, unitless)
date (unitless)
UTC_time (unitless)
latitude (degrees_north)
longitude (degrees_east)
fix_quality (unitless)
satellite_number (count)
HDOP (unitless)
altitude_ (Altitude, meters)
altitude_units (Altitude, M)
geoid (meters)
geoid_units (M)
checksum_data (unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)


[drifter_start_positions] - Initial drifter deployment positions from R/V Endeavor, R/V Albatross IV, R/V Oceanus, R/V Delaware, R/V Cape Hatteras, CCGS Cygnus, and R/V Parizeau in the Gulf of Maine and Georges Bank from 1995-1999 (U.S. GLOBEC Georges Bank)

Summary:
Initial positions of drifters deployed from 1995 to 1999 in support of the U.S. GLOBEC Georges Bank program.

cdm_data_type = Other
VARIABLES:
year (unitless)
drifterid (dimensionless)
argosid (dimensionless)
cruiseid (dimensionless)
month_gmt (month (1-12), MM)
day_gmt (day (1-31), dd)
time_gmt (HHmm)
latitude (degrees_north)
longitude (degrees_east)
status (dimensionless)
inst (dimensionless)
comments (dimensionless)


[drifter_tracks] - Drifter track data from drifters deployed on multiple R/V Endeavor, Albatross IV,  Oceanus, Delaware, Cape Hatteras, Parizeau, and CCGS Cygnus cruises in the Gulf of Maine and Georges Bank from 1995-1999 (GLOBEC) (U.S. GLOBEC Georges Bank)

Summary:
Drifter track data from drifters deployed on multiple R/V Endeavor, Albatross IV,  Oceanus, Delaware, Cape Hatteras, Parizeau, and CCGS Cygnus cruises in the Gulf of Maine and Georges Bank from 1995-1999. Satellite-tracked drifters with holey sock drogues centered at 10, 15 and 40-m depths were deployed over Georges Bank during 1995-99 in support of the U.S. GLOBEC/Georges Bank Program.

cdm_data_type = Other
VARIABLES:
year_start (dimensionless)
drifterid (dimensionless)
argosid (dimensionless)
cruiseid (dimensionless)
latitude (degrees_north)
longitude (degrees_east)
temp (Temperature, degrees Celsius)
submergence (unknown)
yrday_gmt (dimensionless)
year (dimensionless)
month_gmt (dimensionless)
day_gmt (dimensionless)
time_gmt (dimensionless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)


[DRIFTERS] - Temperature and salinity from drifters deployed during R/V Hugh R. Sharp DANCE cruise HRS1414 in the Mid and 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:
15-min location, temperature, and salinity data from three drifting buoys deployed during DANCE cruise HRS1414 in the Mid and South-Atlantic Bight from July to August of 2014 (DANCE project)

cdm_data_type = Other
VARIABLES:
drifter_id (unitless)
yr (unitless)
mon (unitless)
day (unitless)
hr (unitless)
min (unitless)
sec (unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
temp (Temperature, degrees Celsius)
salt (Sea Water Practical Salinity, parts per thousand (ppt))


[drifters_argos] - Raw drifter data from RVIB Nathaniel B. Palmer and ARSV Laurence M. Gould cruises NBP0103, LMG0103, LMG0201A, and NBP0202 in the Southern Ocean from 2001-2002 (SOGLOBEC project) (U.S. GLOBEC Southern Ocean)

Summary:
The following was extracted from the Cruise Report of the N.B. Palmer Cruise 01-03:\r\n\r\n2.0 Drifter Measurements (Bob Beardsley and Dick Limeburner)\r\nSurface drifters are being deployed and tracked via satellite to study the near surface Lagrangian currents in the SO GLOBEC study area on the western Antarctic Peninsula Shelf. Each drifter has a small (~ 30 cm diameter) surface float with ARGOS transmitter and batteries tethered to a holey sock drogue centered at 15 m below the surface. The drogue, about 10 m tall and 1 m in diameter, is designed to \lock\ itself to the water so that the surface float follows the mean water motion at 15 m depth with very little slippage even in high winds. Thus measuring the drifter's position as a function of time provides a Lagrangian measurement of the 15-m ocean current.

cdm_data_type = Other
VARIABLES:
year_start (dimensionless)
drifterid (dimensionless)
argosid (dimensionless)
cruise_id (dimensionless)
date_start_gmt (dimensionless)
time_start_gmt (dimensionless)
lat_start (Latitude, decimal degrees)
lon_start (decimal degrees)
comments (N/A)
latitude (degrees_north)
longitude (degrees_east)
temp_ss (degrees C)
depth (m)
yrday_gmt (Decimal year day)
time_gmt (dimensionless)
month_gmt (dimensionless)
day_gmt (dimensionless)
year (dimensionless)


[Drop Sampling Data - Port Fourchon, LA 2022] - Species counts, site-level information and environmental context sampled near Port Fourchon, Louisiana from September 23 - 29, 2022. (CAREER: Integrating Seascapes and Energy Flow: learning and teaching about energy, biodiversity, and ecosystem function on the frontlines of climate change)

Summary:
This dataset provides species count data collected during the Fall 2022 drop sampling season at 52 sites near Port Fourchon, Louisiana. The sampling effort aimed to assess the abundance and composition of estuarine nekton species across a landscape experiencing significant climate-driven habitat change, including mangrove encroachment and marsh loss. Species counts were obtained using a drop sampler with a 1.2 m² area, deployed along the marsh edge at each site. Nekton within the sampler were captured using a suction pump and dipnets, sorted into taxonomic groups, and enumerated.The data are presented alongside site-level information, including approximate geolocation, date, and environmental context (e.g., habitat classification derived from drone and satellite imagery).

The purpose of this dataset is to evaluate how species abundances respond to habitat structure at multiple spatial scales, particularly in relation to landscape metrics such as land-to-water ratio, edge area, and mangrove cover. This dataset is useful for ecologists, resource managers, and conservation scientists interested in habitat suitability, estuarine ecology, and the impacts of climate-driven habitat changes on coastal nekton communities.

This dataset is part of a study exploring the effect of habitat scale on models linking species abundance to landscape metrics. This was collected by Herbert Leavitt, Dr. James Nelson, and Alex Thomas. Affiliation at time of sampling was University of Louisiana at Lafayette.

cdm_data_type = Other
VARIABLES:
site_date_key (unitless)
site_number (unitless)
sample_date (unitless)
sample_trip (unitless)
water_depth (cm)
temperature (degrees Celcius (°C))
salinity (parts per thousand (ppt or ‰))
latitude (degrees_north)
longitude (degrees_east)
... (49 more variables)


[DYEatom: Metatranscriptome accessions and assembled contigs] - DYEatom Metatranscriptome metadata from RV/Point Sur cruise PS1312 in the Monterey Bay area, June-July 2013 (Linking physiological and molecular aspects of diatom silicification in field populations)

Summary:
Metadata for assembled contigs and ORFS from metatranscriptome analysis from CTD casts in the Monterey Bay area on RV/Point Sur cruise PS1312, June-July 2013. Assembled contigs files are also available; see Supplemental Files.

cdm_data_type = Other
VARIABLES:
BioProject_type (Bio Project Type, unitless)
BioProject_id (Bio Project Id, unitless)
BioSample (Bio Sample, unitless)
Sample_name (unitless)
SRA_id (unitless)
Package_type (unitless)
version (unitless)
Accession (unitless)
ID (unitless)
cruise_id (unitless)
CTD_cast (unitless)
latitude (degrees_north)
longitude (degrees_east)
Date_collection (unitless)
station (unitless)
depth (m)


[Eastern Shore bottom water analysis] - Chemical analysis from sediment core bottom water samples collected in the back barrier island bays on Virginia’s Eastern Shore in July 2017 (Toward an Improved Understanding of Blue Carbon: The Role of Seagrasses in Sequestering CO2)

Summary:
This dataset includes results of analysis on sediment core bottom water samples collected in the back barrier island bays on Virginia\u2019s Eastern Shore in July 2017 - initial pH, alkalinity, sulfate, DIC, and DOC.

cdm_data_type = Other
VARIABLES:
sample_id (unitless)
site (unitless)
latitude (degrees_north)
longitude (degrees_east)
num_replicate_bottles (bottles)
initial_pH (Initial P H, NBS scale)
initial_pH_stdev (Initial P H Stdev, NBS scale)
Alk (milliMoles)
Alk_stdev (milliMoles)
Sulfate (milliMoles)
Sulfate_stdev (milliMoles)
DIC (microMoles)
DIC_stdev (microMoles)
DOC (microMoles)
DOC_stdev (microMoles)


[Eastern Shore pore water analysis] - Chemical analysis from sediment core pore water samples collected in the back barrier island bays on Virginia’s Eastern Shore in July 2017 (Toward an Improved Understanding of Blue Carbon: The Role of Seagrasses in Sequestering CO2)

Summary:
This dataset includes results of analysis on sediment cores collected in the back barrier island bays on Virginia\u2019s Eastern Shore in July 2017 - initial pH, alkalinity, sulfate, DIC, Fe, NH4, sulfide, and DOC.

cdm_data_type = Other
VARIABLES:
site (unitless)
latitude (degrees_north)
longitude (degrees_east)
Core (unitless)
Depth_cm (Depth, centimeters)
Initial_pH (Initial P H, NBS scale)
Alkalinity_mM (Alkalinity M M, milliMoles)
Sulfate_mM (Sulfate M M, milliMoles)
DIC_mM (DIC M M, milliMoles)
Fe_uM (Fe U M, microMoles)
NH4_uM (NH4 U M, microMoles)
Sulfide_uM (Sulfide U M, microMoles)
DOC_uM (DOC U M, microMoles)


[Eastern Shore sediment core metadata] - Sediment core sample metadata collected July 2017 in the back barrier island bays on Virginia’s Eastern Shore (Toward an Improved Understanding of Blue Carbon: The Role of Seagrasses in Sequestering CO2)

Summary:
This dataset includes metadata on sediment cores collected during July 2017 in the back barrier island bays on Virginia\u2019s Eastern Shore - location, date and time of sample collection and processing, and which analyses were performed on each core.

cdm_data_type = Other
VARIABLES:
site (unitless)
latitude (degrees_north)
longitude (degrees_east)
core (unitless)
date_processed (unitless)
PW (unitless)
Ox (unitless)
phi (unitless)
Pb210 (unitless)
sol (unitless)


[Eastern Shore sediment core oxygen profiles] - Oxygen profiles from sediment core samples collected in the back barrier island bays on Virginia’s Eastern Shore in July 2017 (Toward an Improved Understanding of Blue Carbon: The Role of Seagrasses in Sequestering CO2)

Summary:
This dataset includes oxygen profiles from sediment core samples collected in the back barrier island bays on Virginia\u2019s Eastern Shore in July 2017.

cdm_data_type = Other
VARIABLES:
site (unitless)
latitude (degrees_north)
longitude (degrees_east)
core (unitless)
profile (unitless)
ISO_DateTime_Local_collected (ISO Date Time Local Collected, unitless)
ISO_DateTime_Local_scan (ISO Date Time Local Scan, unitless)
depth_cm (Depth, centimeters)
O2_uM (O2 U M, microMoles)


[Ebullition on VA Eastern Shore] - Bubble flux measurements and concentrations at two sites on the Virginia Eastern Shore, July 2017 (Toward an Improved Understanding of Blue Carbon: The Role of Seagrasses in Sequestering CO2)

Summary:
Bubble flux measurements and concentrations at two sites on the Virginia Eastern Shore, July 2017.

cdm_data_type = Other
VARIABLES:
date_local (unitless)
time_local (unitless)
time (ISO Date Time Local, seconds since 1970-01-01T00:00:00Z)
Site (unitless)
latitude (degrees_north)
longitude (degrees_east)
Traps (traps)
Deployment_duration (hours)
Gas_Flux (microMol/meter^2/hour (mMol/m2/h))
Gas_Flux_stdev (microMol/meter^2/hour (mMol/m2/h))
Gas_samples (samples)
O2_Optode (percent)
O2_Optode_stdev (percent)
O2_Ar (unitless)
O2_Ar_stdev (unitless)
d18O (D18 O, parts per thousand (ppt))
d18O_stdev (D18 O Stdev, parts per thousand (ppt))


[Ecological monitoring Natividad 2006-2021: Algae] - Ecological monitoring of algae on Isla Natividad from 2006 to 2021 (Collaborative Research: Evaluating how abalone populations in the California Current are structured by the interplay of large-scale oceanographic forcing and nearshore variability)

Summary:
This dataset encompasses information about algae transects between 2006 to 2021 in Isla Natividad, Baja California Sur, Mexico. Abundances of algae and the number of stipes of each individual algae can be found in the data set. Also, the dates when the transects were done, the site, the name of the diver, the depth the transect was laid, if the site was a marine reserve or not, if the site is inside a marine protected area or not, the latitude and longitude of the sites, the temperature of the water, the number of transect from where the information was counted, and the species name of algae counted.

Ecological monitoring is important to collect data of species that inhabit an specific ecosystem. For this data set, we present all the data form 2006 to 2021 on algae, marine invertebrates, fish and uniform point contact at six different sites in Isla Natividad off the coast of Baja California Sur, Mexico. Data was collected once a year by trained divers as a collaborative effort from Stanford University, non-governmental organizations, and fishing cooperative federations. These data provides the abundaces of algae, invertebrates, fish and substrate  of Isla Natividad over the spam of 15 years and may be use to assess changes in the ecosystems after shocks such as hypoxic events or marine heatwaves.

cdm_data_type = Other
VARIABLES:
ID (unitless)
DAY (unitless)
MONTH (unitless)
YEAR (unitless)
STATE (unitless)
COMMUNITY (unitless)
SITE (unitless)
LAT (degrees_north)
longitude (Long, degrees_east)
HABITAT (unitless)
ZONE (unitless)
PROTECTION (unitless)
... (18 more variables)


[Ecological monitoring Natividad 2006-2021: Fish] - Ecological monitoring of fish on Isla Natividad from 2006 to 2021 (Collaborative Research: Evaluating how abalone populations in the California Current are structured by the interplay of large-scale oceanographic forcing and nearshore variability)

Summary:
This dataset encompasses information about fish transects between 2006 to 2021 in Isla Natividad. Abundances, sex and size of fish can be found in the data set. Also, the dates when the transects were done, the site, the name of the diver, the depth the transect was laid, if the site was a marine reserve or not, if the site is inside a marine protected area or not, the latitude and longitude of the sites, the temperature of the water, the number of transect from where the information was counted, and the species name of the fish counted.

Ecological monitoring is important to collect data of species that inhabit an specific ecosystem. For this data set, we present all the data form 2006 to 2021 on algae, marine invertebrates, fish and uniform point contact at six different sites in Isla Natividad off the coast of Baja California Sur, Mexico. Data was collected once a year by trained divers as a collaborative effort from Stanford University, non-governmental organizations, and fishing cooperative federations. These data provides the abundaces of algae, invertebrates, fish and substrate  of Isla Natividad over the spam of 15 years and may be use to assess changes in the ecosystems after shocks such as hypoxic events or marine heatwaves.

cdm_data_type = Other
VARIABLES:
ID (unitless)
DAY (unitless)
MONTH (unitless)
YEAR (unitless)
STATE (unitless)
COMMUNITY (unitless)
SITE (unitless)
LAT (degrees_north)
longitude (Long, degrees_east)
HABITAT (unitless)
ZONE (unitless)
PROTECTION (unitless)
MPA (unitless)
... (15 more variables)


[Ecological monitoring Natividad 2006-2021: Invertebrates] - Ecological monitoring of marine invertebrates on Isla Natividad from 2006 to 2021 (Collaborative Research: Evaluating how abalone populations in the California Current are structured by the interplay of large-scale oceanographic forcing and nearshore variability)

Summary:
This dataset encompasses information about marine invertebrates transects between 2006 to 2021 in Isla Natividad. Abundances of invertebrates can be found in the data set. Also, the dates when the transects were done, the site, the name of the diver, the depth the transect was laid, if the site was a marine reserve or not, if the site is inside a marine protected area or not, the latitude and longitude of the sites, the temperature of the water, the number of transect from where the information was counted, and the species name of each invertebrate counted.

Ecological monitoring is important to collect data of species that inhabit an specific ecosystem. For this data set, we present all the data form 2006 to 2021 on algae, marine invertebrates, fish and uniform point contact at six different sites in Isla Natividad off the coast of Baja California Sur, Mexico. Data was collected once a year by trained divers as a collaborative effort from Stanford University, non-governmental organizations, and fishing cooperative federations. These data provides the abundaces of algae, invertebrates, fish and substrate  of Isla Natividad over the spam of 15 years and may be use to assess changes in the ecosystems after shocks such as hypoxic events or marine heatwaves.

cdm_data_type = Other
VARIABLES:
ID (unitless)
DAY (unitless)
MONTH (unitless)
YEAR (unitless)
STATE (unitless)
COMMUNITY (unitless)
SITE (unitless)
LAT (degrees_north)
longitude (Long, degrees_east)
HABITAT (unitless)
ZONE (unitless)
PROTECTION (unitless)
MPA (unitless)
... (13 more variables)


[Ecological monitoring Natividad 2006-2021: UPC] - Uniform point contact (UPC) transect data from Isla Natividad from 2006 to 2021 (Collaborative Research: Evaluating how abalone populations in the California Current are structured by the interplay of large-scale oceanographic forcing and nearshore variability)

Summary:
This dataset encompasses information about Uniform point contact (UPC) transects between 2006 to 2021 in Isla Natividad. UPC refers to the information about the substrate where the transect is laid. Every meter (along the 30m transect) you identify what type of substrate there is (e.g., sand, cobble, boulder, reef, other such as anthropogenic), what type of cover there is (e.g., none, brown algae, green algae, red algae, crustose coralline algae, mobile invertebrates, sessile invertebrates or seagrass) and the height of the relief (e.g., less than 10cm, between 10cm and 1m, between 1m and 2m or more than 2m). With this information you can assess the kelp forest ecosystem. This dataset also has information about the dates when the transects were done, site, the name of the diver, the depth the transect was laid, if the site was a marine reserve or not, if the site is inside a marine protected area or not, the latitude and longitude of the sites, the temperature of the water, the number of transect from where the information was counted and the total of substrate, cover and relief points.

Ecological monitoring is important to collect data of species that inhabit an specific ecosystem. For this data set, we present all the data form 2006 to 2021 on algae, marine invertebrates, fish and uniform point contact at six different sites in Isla Natividad off the coast of Baja California Sur, Mexico. Data was collected once a year by trained divers as a collaborative effort from Stanford University, non-governmental organizations, and fishing cooperative federations. These data provides the abundaces of algae, invertebrates, fish and substrate  of Isla Natividad over the spam of 15 years and may be use to assess changes in the ecosystems after shocks such as hypoxic events or marine heatwaves.

cdm_data_type = Other
VARIABLES:
ID (unitless)
DAY (unitless)
MONTH (unitless)
YEAR (unitless)
STATE (unitless)
COMMUNITY (unitless)
SITE (unitless)
... (40 more variables)


[EcoMon Plankton 100m3] - EcoMon plankton counts (100-m3) from Bongo tows, including MARMAP data multiple cruises in the Northeast Continental Shelf of the United States from 1977-2015 (EcoMon Zooplankton project) (EcoMon Zooplankton)

Summary:
EcoMon plankton counts from Bongo tows. Includes MARMAP data.

cdm_data_type = Other
VARIABLES:
year
cruiseid
station
date (seconds since 1970-01-01T00:00:00Z)
month
day
time2 (Time)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
zoo_gear
ich_gear
sfc_temp
sfc_salt
btm_temp
btm_salt
volume_100m3
taxon
count


[EcoMon Plankton 10m2] - EcoMon plankton counts (10-m2) from Bongo tows, including MARMAP data from multiple cruises in the Northeast Continental Shelf of the United States from 1977-2015 (EcoMon Zooplankton project) (EcoMon Zooplankton)

Summary:
EcoMon plankton counts (10-m2) from Bongo tows, including MARMAP data from multiple cruises in the Northeast Continental Shelf of the United States from 1977-2015 (EcoMon Zooplankton project)

cdm_data_type = Other
VARIABLES:
year
cruiseid
station
date (seconds since 1970-01-01T00:00:00Z)
month
day
time2 (Time)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
zoo_gear
ich_gear
sfc_temp
sfc_salt
btm_temp
btm_salt
volume_1m2
taxon
count


[Edmunds and Lasker MEPS 2019 Fig 1a: Density pooled taxa and one year] - Octocoral colony density by pooled taxa, life stage, and year from surveys conducted in St. John, US Virgin Islands from 2014 to 2017 (Collaborative Research: Pattern and process in the abundance and recruitment of Caribbean octocorals)

Summary:
Octocoral colony density pooled by taxon and year from surveys conducted in St. John, US Virgin Islands from 2014 to 2017. These data were used in Edmunds and Lasker (2019) Figure 1.

cdm_data_type = Other
VARIABLES:
Site (unitless)
Quad (unitless)
Life_stage (unitless)
Taxon (unitless)
Density (number per quadrat)


[Edmunds and Lasker MEPS 2019 Fig 1b: Height pooled taxa and one year] - Octocoral colony height pooled by taxon and year from surveys conducted in St. John, US Virgin Islands from 2014 to 2017 (Collaborative Research: Pattern and process in the abundance and recruitment of Caribbean octocorals)

Summary:
Octocoral colony height pooled by taxon and year from surveys conducted in St. John, US Virgin Islands from 2014 to 2017.  These data were used in Edmunds and Lasker (2019) Figure 1.

cdm_data_type = Other
VARIABLES:
Year (untiless)
Taxon (untiless)
Site (untiless)
Height (centimeters (cm))


[Edmunds and Lasker MEPS 2019 Fig 2a: Density by taxon and year] - Octocoral colony density by pooled taxa, life stage, and year from surveys conducted in St. John, US Virgin Islands from 2014 to 2017 (Collaborative Research: Pattern and process in the abundance and recruitment of Caribbean octocorals)

Summary:
Octocoral colony density pooled by taxon and year from surveys conducted in St. John, US Virgin Islands from 2014 to 2017. These data were used in Edmunds and Lasker (2019) Figure 2.

cdm_data_type = Other
VARIABLES:
Year (unitless)
Taxon (unitless)
Site (unitless)
Life_stage (unitless)
Density (number per quadrat)


[Edmunds and Lasker MEPS 2019 Fig 2b: Height by taxon and year] - Octocoral colony height by pooled pooled taxa and year from surveys conducted in St. John, US Virgin Islands from 2014 to 2017 (Collaborative Research: Pattern and process in the abundance and recruitment of Caribbean octocorals)

Summary:
Octocoral colony height pooled by taxon and year from surveys conducted in St. John, US Virgin Islands from 2014 to 2017. These data were used in Edmunds and Lasker (2019) Figure 2.

cdm_data_type = Other
VARIABLES:
Year (unitless)
Taxon (unitless)
Site (unitless)
Life_stage (unitless)
Height (centimeters (cm))


[Edmunds and Lasker MEPS 2019 Fig 3: Community NMDS] - Octocoral colony density by pooled taxa, site, and quadrat from surveys conducted in St. John, US Virgin Islands from 2014 to 2017 (Collaborative Research: Pattern and process in the abundance and recruitment of Caribbean octocorals)

Summary:
Octocoral community NMDS from surveys conducted in St. John, US Virgin Islands from 2014 to 2017. These data were used in Edmunds and Lasker (2019) Figure 3, Community non-metric multidimensional scaling (NMDS).

cdm_data_type = Other
VARIABLES:
Year (unitless)
Taxon (unitless)
Site (unitless)
Life_Stage (unitless)
Mean_density (number per quadrat)
SE_Density (number per quadrat)


[Edmunds and Lasker MEPS 2019 Fig S1: Sampling effort] - Octocoral sampling effort (density by pooled taxa and site) from surveys conducted in St. John, US Virgin Islands from 2014 to 2017 (Collaborative Research: Pattern and process in the abundance and recruitment of Caribbean octocorals)

Summary:
Octocoral sampling effort (density by pooled taxa and site) from surveys conducted in St. John, US Virgin Islands from 2014 to 2017. These data were used in Edmunds and Lasker (2019) Figure S1.

cdm_data_type = Other
VARIABLES:
Year (unitless)
Taxon (unitless)
Site (unitless)
Number_of_quadrats (unitless)
Density (number per quadrat)


[Edmunds and Lasker MEPS 2019 Fig S3: Sampling effort, juveniles] - Octocoral sampling effort (density of juveniles pooled taxa, year, site, and quadrat) from surveys conducted in St. John, US Virgin Islands from 2014 to 2017 (Collaborative Research: Pattern and process in the abundance and recruitment of Caribbean octocorals)

Summary:
Octocoral sampling effort (density of juveniles pooled taxa, year, site, and quadrat) from surveys conducted in St. John, US Virgin Islands from 2014 to 2017. These data were used in Edmunds and Lasker (2019) Figure S3.

cdm_data_type = Other
VARIABLES:
Year (unitless)
Taxon (unitless)
Site (unitless)
Quadrat (unitless)
Density (number per quadrat)


[Edmunds and Lasker MEPS 2019 Fig S4: Colony sizes] - Octocoral colony sizes (height by pooled taxa, site, and year) from surveys conducted in St. John, US Virgin Islands from 2014 to 2017 (Collaborative Research: Pattern and process in the abundance and recruitment of Caribbean octocorals)

Summary:
Octocoral colony sizes (height by pooled taxa, site, and year) from surveys conducted in St. John, US Virgin Islands from 2014 to 2017. These data were used in Edmunds and Lasker (2019) Figure S4.

cdm_data_type = Other
VARIABLES:
Year (unitless)
Taxon (unitless)
Site (unitless)
Height (cenitmeters (cm))


[Edmunds and Lasker MEPS 2019 Fig S5a: Density] - Octocoral colony density by taxon, year, site, and life stage from surveys conducted in St. John, US Virgin Islands from 2014 to 2017 (Collaborative Research: Pattern and process in the abundance and recruitment of Caribbean octocorals)

Summary:
Octocoral colony density by taxon, year, site, and life stage from surveys conducted in St. John, US Virgin Islands from 2014 to 2017.  These data were used in Edmunds and Lasker (2019) Figure S5.

cdm_data_type = Other
VARIABLES:
Year (unitless)
Taxon (unitless)
Site (unitless)
Life_stage (unitless)
Density (number per quadrat)


[Edmunds and Lasker MEPS 2019 Fig S5b: Height] - Octocoral colony height by taxon, year, site, and life stage from surveys conducted in St. John, US Virgin Islands from 2014 to 2017 (Collaborative Research: Pattern and process in the abundance and recruitment of Caribbean octocorals)

Summary:
Octocoral colony height by taxon, year, site, and life stage from surveys conducted in St. John, US Virgin Islands from 2014 to 2017.  These data were used in Edmunds and Lasker (2019) Figure S5.

cdm_data_type = Other
VARIABLES:
Year (unitless)
Taxon (unitless)
Site (unitless)
Life_stage (unitless)
Height (centimeters (cm))


[Edmunds et al. 2019b: Sizes of organisms fixed to flume floor] - Sizes of organisms fixed to flume floor from back reef community flume experiments conducted in Moorea, French Polynesia, from Nov 2015 to Nov 2016 (Collaborative Research: Ocean Acidification and Coral Reefs: Scale Dependence and Adaptive Capacity)

Summary:
These data describe the fauna that was secured to a metal grid in the bottom of the flume.  These data are results of an experiment incubating a back reef community from Moorea, French Polynesia, for one year at high pCO2 (published in Edmunds et al. 2019) from Nov of 2015 to Nov of 2016.

cdm_data_type = Other
VARIABLES:
Flume (unitless)
ID_number (unitless)
Species (unitless)
Initial (grams (g))
Final (grams (g))


[Edmunds et al. 2019b: Sizes of organisms not fixed to flume floor] - Sizes of organisms not fixed to flume floor from back reef community flume experiments conducted in Moorea, French Polynesia, from Nov 2015 to Nov 2016 (Collaborative Research: Ocean Acidification and Coral Reefs: Scale Dependence and Adaptive Capacity)

Summary:
These data describe the mobile fauna in the flumes that were not fixed to the bottom of the flume. These data are results of an experiment incubating a back reef community from Moorea, French Polynesia, for one year at high pCO2 (published in Edmunds et al. 2019) from Nov of 2015 to Nov of 2016.

cdm_data_type = Other
VARIABLES:
Flume (unitless)
ID_number (unitless)
Species (unitless)
Month_Number (unitless)
Mass (grams (g))
Month (unitless)
Year (unitless)


[Edmunds et al. 2019b: Sizes of organisms used to calculate growth and for community analysis ] - Sizes of organisms used to calculate growth and for community analysis from back reef community flume experiments conducted in Moorea, French Polynesia, from Nov 2015 to Nov 2016 (Collaborative Research: Ocean Acidification and Coral Reefs: Scale Dependence and Adaptive Capacity)

Summary:
These data include sizes of organisms used to calculate growth and for community analysis and percent cover of each organism described from planar photographs. These data are results of an experiment incubating a back reef community from Moorea, French Polynesia, for one year at high pCO2 (published in Edmunds et al. 2019) from Nov of 2015 to Nov of 2016.

cdm_data_type = Other
VARIABLES:
Flume (unitless)
Analysis (unitless)
Month_Number (unitless)
Year (unitless)
Month (unitless)
ID (unitless)
Taxon (unitless)
AREA (percent (%))


[Edmunds et al. 2020 ICES: pCO2 flume - Coral area] - Coral area from a study of year-long effects of high pCO2 on the community structure of a tropical fore reef assembled in outdoor flumes in Moorea, French Polynesia from 2017 to 2018 (RUI: Ocean Acidification- Category 1- The effects of ocean acidification on the organismic biology and community ecology of corals, calcified algae, and coral reefs)

Summary:
This coral calcification dataset includes the areas of corals as they changed over a year-long experiment. Flume physical and chemical conditions are provided as a supplemental file. These data are part of a study of year-long effects of high pCO2 on the community structure of a tropical fore reef assembled in outdoor flumes in Moorea, French Polynesia from 2017 to 2018.

These coral calcification data support publication (Edmunds et al., 2020; doi:10.1093/icesjms/fsaa015) with the following abstract:

In this study, fore reef coral communities were exposed to high pCO2 for a year to explore the relationship between net accretion (Gnet) and community structure (planar area growth). Coral reef communities simulating the fore reef at 17-m depth on Mo'orea, French Polynesia, were assembled in three outdoor flumes (each 500 l) that were maintained at ambient (396 matm), 782 matm, and 1434 matm pCO2, supplied with seawater at 300 l h 1, and exposed to light simulating 17-m depth. The communities were constructed using corals from the fore reef, and the responses of massive Porites spp., Acropora spp., and Pocillopora verrucosa were assessed through monthly measurements of Gnet and planar area. High pCO2 depressed Gnet but did not affect colony area by taxon, although the areas of Acropora spp. and P. verrucosa summed to cause multivariate community structure to differ among treatments. These results suggest that skeletal plasticity modulates the effects of reduced Gnet at high pCO2 on planar growth, at least over a year. The low sensitivity of the planar growth of fore reef corals to the effects of ocean acidification.

cdm_data_type = Other
VARIABLES:
Flume (unitless)
Year_Month (unitless)
Sample (unitless)
Type (unitless)
Species (unitless)
percent_area (percent (%))


[Edmunds et al. 2020 ICES: pCO2 flume - Coral weight] - Coral weight from a study of year-long effects of high pCO2 on the community structure of a tropical fore reef assembled in outdoor flumes in Moorea, French Polynesia from 2017 to 2018 (RUI: Ocean Acidification- Category 1- The effects of ocean acidification on the organismic biology and community ecology of corals, calcified algae, and coral reefs)

Summary:
This coral calcification dataset includes the weight of the corals as used to report net changes in mass (Gnet). Flume physical and chemical conditions are provided as a supplemental file.  These data are part of a study of year-long effects of high pCO2 on the community structure of a tropical fore reef assembled in outdoor flumes in Moorea, French Polynesia from 2017 to 2018.

These coral calcification data support publication (Edmunds et al., 2020; doi:10.1093/icesjms/fsaa015) with the following abstract:

In this study, fore reef coral communities were exposed to high pCO2 for a year to explore the relationship between net accretion (Gnet) and community structure (planar area growth). Coral reef communities simulating the fore reef at 17-m depth on Mo'orea, French Polynesia, were assembled in three outdoor flumes (each 500 l) that were maintained at ambient (396 matm), 782 matm, and 1434 matm pCO2, supplied with seawater at 300 l h 1, and exposed to light simulating 17-m depth. The communities were constructed using corals from the fore reef, and the responses of massive Porites spp., Acropora spp., and Pocillopora verrucosa were assessed through monthly measurements of Gnet and planar area. High pCO2 depressed Gnet but did not affect colony area by taxon, although the areas of Acropora spp. and P. verrucosa summed to cause multivariate community structure to differ among treatments. These results suggest that skeletal plasticity modulates the effects of reduced Gnet at high pCO2 on planar growth, at least over a year. The low sensitivity of the planar growth of fore reef corals to the effects of ocean acidification.

cdm_data_type = Other
VARIABLES:
Flume (unitless)
Year_Month (unitless)
Sample (unitless)
Type (unitless)
Functional_group (unitless)
Species (unitless)
LTER_Site (unitless)
Weight (grams (g))


[Edmunds et al. 2023 Oecologia: Chlorophyll Concentration] - Seawater chlorophyll concentration offshore from Moorea, French Polynesia from 2008 to 2020 (Moorea Coral Reef Long-Term Ecological Research site)

Summary:
Data Abstract:

Seawater chlorophyll concentration (mg/m3) offshore from Moorea, French Polynesia from 2008 to 2020.

Results paper abstract, Edmunds et al. (2023) :
* [See "Related Datasets" section for access to related datasets discussed here]

Understanding population dynamics is a long-standing objective of ecology, but the need for progress in this area has become urgent. For coral reefs, achieving this objective is impeded by a lack of information on settlement versus post-settlement events in determining recruitment and population size. Declines in coral abundance are often inferred to be associated with reduced densities of recruits, which could arise from mechanisms occurring at larval settlement, or throughout post-settlement stages. This study uses annual measurements from 2008 to 2021 of coral cover, the density of coral settlers (S), the density of small corals (SC), and environmental conditions, to evaluate the roles of settlement versus post-settlement events in determining rates of coral recruitment and changes in coral cover at Moorea, French Polynesia. Coral cover, S, SC, and the SC:S ratio (a proxy for post-settlement success), and environmental conditions, were used in generalized additive models (GAMs) to show that: (a) coral cover was more strongly related to SC and SC:S than S, and (b) SC:S was highest when preceded by cool seawater, low concentrations of Chlorophyll a, and low flow speeds, and S showed evidence of declining with elevated temperature. Together, these results suggest that changes in coral cover in Moorea are more strongly influenced by post-settlement events than settlement. The key to understanding coral community resilience may lie in elucidating the factors attenuating the bottleneck between settlers and small corals.

cdm_data_type = Other
VARIABLES:
Year (unitless)
Month (unitless)
Chlorophyll (milligrams per meters cubed (mg/m3))


[Edmunds et al. 2023 Oecologia: Coral Cover] - Percentage cover of the benthos by live coral at 10 m depth at sites in Moorea Moorea, French Polynesia from 2008 to 2021 (Moorea Coral Reef Long-Term Ecological Research site)

Summary:
Data Abstract:

These data describe the percentage cover of the benthos by live coral at 10 m depth at sites LTER1 and LTER2 in Moorea.

Results paper abstract, Edmunds et al. (2023) :
* [See "Related Datasets" section for access to related datasets discussed here]

Understanding population dynamics is a long-standing objective of ecology, but the need for progress in this area has become urgent. For coral reefs, achieving this objective is impeded by a lack of information on settlement versus post-settlement events in determining recruitment and population size. Declines in coral abundance are often inferred to be associated with reduced densities of recruits, which could arise from mechanisms occurring at larval settlement, or throughout post-settlement stages. This study uses annual measurements from 2008 to 2021 of coral cover, the density of coral settlers (S), the density of small corals (SC), and environmental conditions, to evaluate the roles of settlement versus post-settlement events in determining rates of coral recruitment and changes in coral cover at Moorea, French Polynesia. Coral cover, S, SC, and the SC:S ratio (a proxy for post-settlement success), and environmental conditions, were used in generalized additive models (GAMs) to show that: (a) coral cover was more strongly related to SC and SC:S than S, and (b) SC:S was highest when preceded by cool seawater, low concentrations of Chlorophyll a, and low flow speeds, and S showed evidence of declining with elevated temperature. Together, these results suggest that changes in coral cover in Moorea are more strongly influenced by post-settlement events than settlement. The key to understanding coral community resilience may lie in elucidating the factors attenuating the bottleneck between settlers and small corals.

cdm_data_type = Other
VARIABLES:
Year (unitless)
Site (unitless)
depth (m)
Quad (unitless)
Pocillopora (percent (%))
All_stony_corals (percent (%))


[Edmunds et al. 2023 Oecologia: Flow Speeds] - Flow speed on the north shore of Moorea, French from 2007 to 2021 (Moorea Coral Reef Long-Term Ecological Research site)

Summary:
Data Abstract:

These data describe bottom and surface flow speed on the north shore of Moorea from 2007 to 2021.

Results paper abstract, Edmunds et al. (2023) :
* [See "Related Datasets" section for access to related datasets discussed here]

Understanding population dynamics is a long-standing objective of ecology, but the need for progress in this area has become urgent. For coral reefs, achieving this objective is impeded by a lack of information on settlement versus post-settlement events in determining recruitment and population size. Declines in coral abundance are often inferred to be associated with reduced densities of recruits, which could arise from mechanisms occurring at larval settlement, or throughout post-settlement stages. This study uses annual measurements from 2008 to 2021 of coral cover, the density of coral settlers (S), the density of small corals (SC), and environmental conditions, to evaluate the roles of settlement versus post-settlement events in determining rates of coral recruitment and changes in coral cover at Moorea, French Polynesia. Coral cover, S, SC, and the SC:S ratio (a proxy for post-settlement success), and environmental conditions, were used in generalized additive models (GAMs) to show that: (a) coral cover was more strongly related to SC and SC:S than S, and (b) SC:S was highest when preceded by cool seawater, low concentrations of Chlorophyll a, and low flow speeds, and S showed evidence of declining with elevated temperature. Together, these results suggest that changes in coral cover in Moorea are more strongly influenced by post-settlement events than settlement. The key to understanding coral community resilience may lie in elucidating the factors attenuating the bottleneck between settlers and small corals.

cdm_data_type = Other
VARIABLES:
Year (unitless)
Month (unitless)
Bottom_flow (meters per second (m/s))
Surface_flow (meters per second (m/s))


[Edmunds et al. 2023 Oecologia: Seawater Temperature] - Benthic seawater temperature at 10m depth in Moorea, French Polynesia from 2005 to 2021 (Moorea Coral Reef Long-Term Ecological Research site)

Summary:
Data Abstract:

Benthic seawater temperature from bottom-mounted thermistors deployed in Moorea, French Polynesia.
 These seawater temperature data support the temperature analysis in Edmunds et al. (2023).

Results paper abstract, Edmunds et al. (2023) :
* [See "Related Datasets" section for access to related datasets discussed here]

Understanding population dynamics is a long-standing objective of ecology, but the need for progress in this area has become urgent. For coral reefs, achieving this objective is impeded by a lack of information on settlement versus post-settlement events in determining recruitment and population size. Declines in coral abundance are often inferred to be associated with reduced densities of recruits, which could arise from mechanisms occurring at larval settlement, or throughout post-settlement stages. This study uses annual measurements from 2008 to 2021 of coral cover, the density of coral settlers (S), the density of small corals (SC), and environmental conditions, to evaluate the roles of settlement versus post-settlement events in determining rates of coral recruitment and changes in coral cover at Moorea, French Polynesia. Coral cover, S, SC, and the SC:S ratio (a proxy for post-settlement success), and environmental conditions, were used in generalized additive models (GAMs) to show that: (a) coral cover was more strongly related to SC and SC:S than S, and (b) SC:S was highest when preceded by cool seawater, low concentrations of Chlorophyll a, and low flow speeds, and S showed evidence of declining with elevated temperature. Together, these results suggest that changes in coral cover in Moorea are more strongly influenced by post-settlement events than settlement. The key to understanding coral community resilience may lie in elucidating the factors attenuating the bottleneck between settlers and small corals.

cdm_data_type = Other
VARIABLES:
Site (unitless)
Data_Source (unitless)
ISO_Date (unitless)
... (4 more variables)


[Edmunds et al. 2023 Oecologia: Settler Density] - Density of coral settlers detected on settlement tiles each year at two 10m sites on the north shore of Moorea, French Polynesia from 2008 to 2020 (Moorea Coral Reef Long-Term Ecological Research site)

Summary:
Data Abstract:

These data describe the number of coral settlers detected on settlement tiles each year, with annual settlement determined by adding mean recruits on tiles retrieved in Jan/Feb to mean density on tiles retrieved Aug/Sept.

Results paper abstract, Edmunds et al. (2023) :
* [See "Related Datasets" section for access to related datasets discussed here]

Understanding population dynamics is a long-standing objective of ecology, but the need for progress in this area has become urgent. For coral reefs, achieving this objective is impeded by a lack of information on settlement versus post-settlement events in determining recruitment and population size. Declines in coral abundance are often inferred to be associated with reduced densities of recruits, which could arise from mechanisms occurring at larval settlement, or throughout post-settlement stages. This study uses annual measurements from 2008 to 2021 of coral cover, the density of coral settlers (S), the density of small corals (SC), and environmental conditions, to evaluate the roles of settlement versus post-settlement events in determining rates of coral recruitment and changes in coral cover at Moorea, French Polynesia. Coral cover, S, SC, and the SC:S ratio (a proxy for post-settlement success), and environmental conditions, were used in generalized additive models (GAMs) to show that: (a) coral cover was more strongly related to SC and SC:S than S, and (b) SC:S was highest when preceded by cool seawater, low concentrations of Chlorophyll a, and low flow speeds, and S showed evidence of declining with elevated temperature. Together, these results suggest that changes in coral cover in Moorea are more strongly influenced by post-settlement events than settlement. The key to understanding coral community resilience may lie in elucidating the factors attenuating the bottleneck between settlers and small corals.

cdm_data_type = Other
VARIABLES:
Year (unitless)
Site (unitless)
All_corals (number of settlers per tile)
Pocillopora (number of settlers per tile)


[Edmunds et al. 2023 Oecologia: Small Coral Density] - Density of small corals at two 10m sites on the north shore of Moorea, French Polynesia from 2005 to 2021 (Moorea Coral Reef Long-Term Ecological Research site)

Summary:
Data Abstract:

These data describe the density of small corals (colonies ≤ 4 cm diameter) in quadrats (0.5 x 0.5 m) in size on the benthos at 10 m depth at LTER1 and LTER2 on the north shore of Moorea.

Results paper abstract, Edmunds et al. (2023) :
* [See "Related Datasets" section for access to related datasets discussed here]

Understanding population dynamics is a long-standing objective of ecology, but the need for progress in this area has become urgent. For coral reefs, achieving this objective is impeded by a lack of information on settlement versus post-settlement events in determining recruitment and population size. Declines in coral abundance are often inferred to be associated with reduced densities of recruits, which could arise from mechanisms occurring at larval settlement, or throughout post-settlement stages. This study uses annual measurements from 2008 to 2021 of coral cover, the density of coral settlers (S), the density of small corals (SC), and environmental conditions, to evaluate the roles of settlement versus post-settlement events in determining rates of coral recruitment and changes in coral cover at Moorea, French Polynesia. Coral cover, S, SC, and the SC:S ratio (a proxy for post-settlement success), and environmental conditions, were used in generalized additive models (GAMs) to show that: (a) coral cover was more strongly related to SC and SC:S than S, and (b) SC:S was highest when preceded by cool seawater, low concentrations of Chlorophyll a, and low flow speeds, and S showed evidence of declining with elevated temperature. Together, these results suggest that changes in coral cover in Moorea are more strongly influenced by post-settlement events than settlement. The key to understanding coral community resilience may lie in elucidating the factors attenuating the bottleneck between settlers and small corals.

cdm_data_type = Other
VARIABLES:
Year (unitless)
Site (unitless)
Quadrat (unitless)
Pocillopora (per colony)
All_corals (per colony)


[Edmunds et al. 2023 Oecologia: Water Clarity] - Seawater clarity in Moorea, French Polynesia from 2003 to 2022 (Moorea Coral Reef Long-Term Ecological Research site)

Summary:
Data Abstract:

These data describe seawater clarity (as measured through Kd490) with data accessed 15 March 2022.

Results paper abstract, Edmunds et al. (2023) :
* [See "Related Datasets" section for access to related datasets discussed here]

Understanding population dynamics is a long-standing objective of ecology, but the need for progress in this area has become urgent. For coral reefs, achieving this objective is impeded by a lack of information on settlement versus post-settlement events in determining recruitment and population size. Declines in coral abundance are often inferred to be associated with reduced densities of recruits, which could arise from mechanisms occurring at larval settlement, or throughout post-settlement stages. This study uses annual measurements from 2008 to 2021 of coral cover, the density of coral settlers (S), the density of small corals (SC), and environmental conditions, to evaluate the roles of settlement versus post-settlement events in determining rates of coral recruitment and changes in coral cover at Moorea, French Polynesia. Coral cover, S, SC, and the SC:S ratio (a proxy for post-settlement success), and environmental conditions, were used in generalized additive models (GAMs) to show that: (a) coral cover was more strongly related to SC and SC:S than S, and (b) SC:S was highest when preceded by cool seawater, low concentrations of Chlorophyll a, and low flow speeds, and S showed evidence of declining with elevated temperature. Together, these results suggest that changes in coral cover in Moorea are more strongly influenced by post-settlement events than settlement. The key to understanding coral community resilience may lie in elucidating the factors attenuating the bottleneck between settlers and small corals.

cdm_data_type = Other
VARIABLES:
UTC_time (unitless)
Kd490 (m-1)


[Edmunds et al. MarBio 2019a: Data in support of energy budget calculations] - Light data from surveys in St. John, US Virgin Islands in 2017 used to calculate photosynthetic input to coral energy budget as in Edwards et al. (2019) (RAPID: Hurricane Irma: Effects of repeated severe storms on shallow Caribbean reefs and their changing ecological resilience)

Summary:
Light data from surveys in Great Lameshur Bay, St. John, US Virgin Islands in 2017 used to calculate photosynthetic input to coral energy budget as in Edwards et al. (2019). These data were used in Edmunds et al. (2019).

cdm_data_type = Other
VARIABLES:
Day (unitless)
Surface_Light (micromoles per square meter per second (µmol quanta/m2/s))
Kd (unitless)
Underwater_Light_at_19_m (micromoles per square meter per second (µmol quanta/m2/s))
Underwater_Light_at_10_m (micromoles per square meter per second (µmol quanta/m2/s))


[Edmunds et al. MarBio 2019a: Kd data] - Light data (Kd) from surveys conducted in St. John, US Virgin Islands in 2017 (RAPID: Hurricane Irma: Effects of repeated severe storms on shallow Caribbean reefs and their changing ecological resilience)

Summary:
Light data (Kd) from surveys conducted in Great Lameshur Bay, St. John, US Virgin Islands in 2017. These data were used in Edmunds et al. (2019) in Figure 2.

cdm_data_type = Other
VARIABLES:
DateTime_Local (Date Time Local, unitless)
Surface_Light (micromoles per square meter per second (µmol quanta/m2/s))
Underwater_Light (micromoles per square meter per second (µmol quanta/m2/s))
Kd (unitless)
Transmition_Percent (percent)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)


[Edmunds et al. MarBio 2019a: Light and rainfall data] - Light and rainfall data from surveys conducted in St. John, US Virgin Islands in 2016 and 2017 (RAPID: Hurricane Irma: Effects of repeated severe storms on shallow Caribbean reefs and their changing ecological resilience)

Summary:
Light and rainfall data from surveys conducted at Windswept Beach and Great Lameshur Bay, St. John, US Virgin Islands in 2016 and 2017. These data were used in Edmunds et al. (2019) in Figure 1.

cdm_data_type = Other
VARIABLES:
Date (unitless)
Rainfall (centimeters (cm))
Surface_Daily_Integrated (moles per square meter per second (mol quanta/m2/s))
Underwater_1300hrs_Max_Intensity (micromoles per square meter per second (µmol quanta/m2/s))
Underwater_24H_integrated (Underwater 24 H Integrated, moles per square meter per second (mol quanta/m2/s))


[Edmunds et al. MarBio 2019a: Transmission data] - Light data (transmission) from surveys conducted in St. John, US Virgin Islands in 2017 (RAPID: Hurricane Irma: Effects of repeated severe storms on shallow Caribbean reefs and their changing ecological resilience)

Summary:
Light data (transmission) from surveys conducted in Great Lameshur Bay, St. John, US Virgin Islands in 2017. These data were used in Edmunds et al. (2019) in Figure 2.

cdm_data_type = Other
VARIABLES:
Underwater_Date_Local (unitless)
Underwater_Time_Local (unitless)
Underwater_Light (micromoles per square meter per second (µmol quanta/m2/s))
Surface_DateTime_Local (Surface Date Time Local, unitless)
Surface_Light (micromoles per square meter per second (µmol quanta/m2/s))
Transmition_Percent (percent)
time (Surface Date Time ISO UTC, seconds since 1970-01-01T00:00:00Z)


[Eelgrass seed phenotypes] - Number and mass of eelgrass seeds collected from sediment cores in shallow and deep zones at four coastal sites in Massachusetts, USA in 2019 (RUI: Collaborative Research: Trait differentiation and local adaptation to depth within meadows of the foundation seagrass Zostera marina)

Summary:
This dataset includes the number and mass of eelgrass seeds collected from sediment cores in shallow and deep zones at four different sites in Massachusetts, USA in 2019. The four sites were West Beach in Beverly (N 42.55921, W 70.80578), Curlew Beach in Nahant (N 42.42009, W 70.91553), Lynch Park in Beverly (N 42.54488, W 70.85842), and Niles Beach in Gloucester (N 42.59711, W 70.65592). Like many marine foundation species, eelgrass often spans strong environmental gradients over relatively small spatial scales - this data set provides information on seed retention and seed size across the depth gradient at multiple sites in the Gulf of Maine. Seeds measured and counted in this dataset were subsequently genotyped to infer source.

cdm_data_type = Other
VARIABLES:
Date (unitless)
Site (unitless)
latitude (degrees_north)
longitude (degrees_east)
Depth (unitless)
Permanent_Quad (unitless)
Core (unitless)
Seed_number (unitless)
Mass (grams (g))
RAD_name (unitless)


[Eelgrass shoot density and above-ground biomass] - Quadrat-based measurements of eelgrass shoot density and above-ground biomass for plants growing in shallow and deep zones at four coastal sites in Massachusetts, USA in 2019 (RUI: Collaborative Research: Trait differentiation and local adaptation to depth within meadows of the foundation seagrass Zostera marina)

Summary:
This dataset includes quadrat-based measurements of eelgrass shoot density and above-ground biomass for plants growing in shallow and deep zones at four different sites in Massachusetts, USA in 2019. The four sites were West Beach in Beverly (N 42.55921, W 70.80578), Curlew Beach in Nahant (N 42.42009, W 70.91553), Lynch Park in Beverly (N 42.54488, W 70.85842), and Niles Beach in Gloucester (N 42.59711, W 70.65592). Like many marine foundation species, eelgrass often spans strong environmental gradients over relatively small spatial scales - this data set provides information on phenotypic differentiation across the depth gradient at multiple sites in the Gulf of Maine.

cdm_data_type = Other
VARIABLES:
Date (unitless)
Site (unitless)
latitude (degrees_north)
longitude (degrees_east)
Depth (unitless)
Permanent_Quadrat (unitless)
Vegetative_Density (number/0.25m^2)
Flowering_Density (number/0.25m^2)
Total_Density (number/0.25m^2)
Biomass (grams (g))


[Eelgrass shoot lengths] - Eelgrass shoot lengths measured at two depths within each of four coastal sites in Massachusetts, USA in 2019 (RUI: Collaborative Research: Trait differentiation and local adaptation to depth within meadows of the foundation seagrass Zostera marina)

Summary:
This dataset includes eelgrass shoot lengths measured at two depths within each of four different sites in Massachusetts, USA in late June and early July 2019. Like many marine foundation species, eelgrass often spans strong environmental gradients over relatively small spatial scales - this data set provides information on phenotypic differentiation across the depth gradient at multiple sites in the Gulf of Maine.

cdm_data_type = Other
VARIABLES:
Date (unitless)
Site (unitless)
latitude (degrees_north)
longitude (degrees_east)
Depth (unitless)
Permanent_Quadrat (unitless)
Sample_Quadrat (unitless)
Height (centimeters (cm))


[Effect of lionfish density on native reef fishes] - Effect of lionfish densities on native coral-reef fishes from Lee Stocking Island, Bahamas during 2009-2012 (Biodiversity Loss Effects Lionfish project) (Mechanisms and Consequences of Fish Biodiversity Loss on Atlantic Coral Reefs Caused by Invasive Pacific Lionfish)

Summary:
Effect of lionfish densities on native coral-reef fishes from Lee Stocking Island, Bahamas during 2009-2012 (Biodiversity Loss Effects Lionfish project)

cdm_data_type = Other
VARIABLES:
year (unitless)
reef_type (unitless)
month (unitless)
visit_number (unitless)
day (unitless)
reef_number (unitless)
time_start (unitless)
time_end (unitless)
lionfish_density_initial (count per meter squared)
lionfish_density_mean (count per meter squared)
species (unitless)
length_max_1 (count)
length_max_2 (count)
length_max_3 (count)
length_max_4 (count)
length_max_5 (count)
length_max_10 (count)
length_max_15 (count)
length_max_20 (count)
length_max_25 (count)
length_max_30 (count)
length_max_35 (count)
length_max_40 (count)
length_max_45 (count)
length_max_50 (count)
length_max_100 (count)
length_max_150 (count)
invert_count (count)
notes (unitless)


[Effect of lionfish in main seagrass habitats] - Effect of lionfish presence on native fish abundance in main reefs where lionfish resided on Eleuthera, Bahamas during 2013 (Biodiversity Loss Effects Lionfish project) (Mechanisms and Consequences of Fish Biodiversity Loss on Atlantic Coral Reefs Caused by Invasive Pacific Lionfish)

Summary:
Effect of lionfish presence on native fish abundance in main reefs where lionfish resided on Eleuthera, Bahamas during 2013 (Biodiversity Loss Effects Lionfish project)

cdm_data_type = Other
VARIABLES:
year (unitless)
month (unitless)
visit_number (unitless)
day (unitless)
treatment (unitless)
reef (unitless)
start (unitless)
end (unitless)
species (unitless)
length_max_1 (count)
length_max_2 (count)
length_max_3 (count)
length_max_4 (count)
length_max_5 (count)
length_max_6 (count)
length_max_7 (count)
length_max_8 (count)
length_max_9 (count)
length_max_10 (count)
length_max_15 (count)
length_max_20 (count)
length_max_25 (count)
length_max_30 (count)
length_max_35 (count)
length_max_40 (count)
length_max_45 (count)
eel_shark_count (count)
notes (unitless)


[Effect of lionfish in seagrass open area habitats] - Effect of lionfish presence on native fish abundance in open areas of seagrass habitat in Eleuthera, Bahamas during 2013 (Biodiversity Loss Effects Lionfish project) (Mechanisms and Consequences of Fish Biodiversity Loss on Atlantic Coral Reefs Caused by Invasive Pacific Lionfish)

Summary:
Effect of lionfish presence on native fish abundance in open areas of seagrass habitat in Eleuthera, Bahamas during 2013 (Biodiversity Loss Effects Lionfish project)

cdm_data_type = Other
VARIABLES:
year (unitless)
month (unitless)
visit_number (unitless)
day (unitless)
reef (unitless)
treatment (unitless)
time_start (unitless)
time_end (unitless)
transect_number (unitless)
transect_direction (degrees)
transect_distance (meters)
habitat (unitless)
present (unitless)
species (unitless)
length_max_1 (count)
length_max_2 (count)
length_max_3 (count)
length_max_4 (count)
length_max_5 (count)
length_max_6 (count)
length_max_7 (count)
length_max_8 (count)
length_max_9 (count)
length_max_10 (count)
length_max_15 (count)
notes (unitless)


[Effect of lionfish in seagrass satellite coral head habitats] - Effect of lionfish presence on native fish abundance on satellite coral heads in seagrass habitats on Eleuthera, Bahamas during 2013 (Biodiversity Loss Effects Lionfish project) (Mechanisms and Consequences of Fish Biodiversity Loss on Atlantic Coral Reefs Caused by Invasive Pacific Lionfish)

Summary:
Effect of lionfish presence on native fish abundance on satellite coral heads in seagrass habitats on Eleuthera, Bahamas during 2013 (Biodiversity Loss Effects Lionfish project)

cdm_data_type = Other
VARIABLES:
year (unitless)
month (unitless)
visit_number (unitless)
day (unitless)
treatment (unitless)
reef (unitless)
start (unitless)
end (unitless)
satellite_number (unitless)
satellite_distance (meters)
satellite_size (meters squared)
species (unitless)
length_max_1 (count)
length_max_2 (count)
length_max_3 (count)
length_max_4 (count)
length_max_5 (count)
length_max_6 (count)
length_max_7 (count)
length_max_8 (count)
length_max_9 (count)
length_max_10 (count)
length_max_15 (count)
length_max_20 (count)
length_max_25 (count)
length_max_30 (count)
... (5 more variables)


[Effect of lionfish in standardized habitat units in seagrass] - Effect of lionfish presence on native fish abundance in standardized habitat units in seagrass in Eleuthera, Bahamas during 2013 (Biodiversity Loss Effects Lionfish project) (Mechanisms and Consequences of Fish Biodiversity Loss on Atlantic Coral Reefs Caused by Invasive Pacific Lionfish)

Summary:
Effect of lionfish presence on native fish abundance in standardized habitat units in seagrass in Eleuthera, Bahamas during 2013 (Biodiversity Loss Effects Lionfish project)

cdm_data_type = Other
VARIABLES:
year (unitless)
survey_type (unitless)
month (unitless)
visit_number (unitless)
day (unitless)
treatment (unitless)
reef (unitless)
time_start (unitless)
time_end (unitless)
shu_row (unitless)
distance (meters)
presence (unitless)
species (unitless)
length_max_1 (count)
length_max_2 (count)
length_max_3 (count)
length_max_4 (count)
length_max_5 (count)
length_max_6 (count)
length_max_7 (count)
length_max_8 (count)
length_max_9 (count)
length_max_10 (count)
length_max_15 (count)
notes (unitless)


[Effect of phenotypic variation on dogwhelk morphology during eco-evolutionary field experiment] - Effect of phenotypic variation on dogwhelk morphology during an eco-evolutionary field experiment (Coastal mosaics of local adaptation and the eco-evolutionary dynamics of a marine predator-prey interaction)

Summary:
Although there is a growing body of work indicating that ecological and evolutionary processes can have reciprocal feedbacks on one another, few studies have tested these feedbacks in natural field settings at the community level. We tested the ecological consequences of selection on intra-population variation in dogwhelk drilling. We reared juvenile dogwhelks (Nucella canaliculata) on four early-life diet treatments (thin-shelled Mytilus trossulus, two treatments of M. californianus from two populations known to differ in adult shell thickness, and acorn barnacles) and then outplanted the dogwhelks to field cages to quantify the community effects of variation in drilling phenotype on mussel bed succession over a year. Changes in Nucella canaliculata morphology (change in length) were determined over the course of the experiment.

cdm_data_type = Other
VARIABLES:
Block (unitless)
Plot_Number (unitless)
Plot_Tidal_Height (meters (m))
Family (unitless)
Site_Latitude (degrees_north)
longitude (Site_longitude, degrees_east)
Treatment (unitless)
Family_x_Treatment (unitless)
Snail_ID (unitless)
Snail_Tag (unitless)
Sex (unitless)
Length_initial (millimeters (mm))
Length_final (millimeters (mm))
Length_change (millimeters (mm))
Dead_vs_Replaced_vs_Never_found (unitless)
Date_dead_or_replaced (unitless)


[Effects of early-life diet on mortality of juvenile Nucella canaliculata] - Effects of early-life diet on mortality of juvenile Nucella canaliculata quantified in the laboratory after 3 months on experimental diets (Coastal mosaics of local adaptation and the eco-evolutionary dynamics of a marine predator-prey interaction)

Summary:
The field of eco-evolutionary dynamics analyzes the reciprocal impacts that ecological and evolutionary processes have on one another on contemporary timescales. A promising approach for studying eco-evolutionary dynamics is to explore whether variation acting over rapid timescales can impose selection on existing within population-variation in functional traits. The Bodega Marine Reserve population of the Channeled Dogwhelk, Nucella canaliculata, contains a mix of drilling phenotypes. A selection experiment was performed to determine the effects of four early-life diet treatments (thin-shelled Mytilus trossulus mussels, two treatments of M. californianus from two populations known to differ in shell thickness, and acorn barnacles) on N. canaliculata phenotype. Dogwhelks were hatched in the laboratory and mortality of juvenile dogwhelks was quantified in the laboratory after 3 months on the experimental diets.

cdm_data_type = Other
VARIABLES:
Family (unitless)
Population (unitless)
Site_Latitude (degrees_north)
longitude (Site_longitude, degrees_east)
Treatment (unitless)
Three_Month_Mortality (percent (%))


[Effects of early-life diet on Nucella canaliculata drilling phenotype] - Effects of early-life diet on Nucella canaliculata drilling phenotype quantified in the laboratory after rearing on different prey treatments (Coastal mosaics of local adaptation and the eco-evolutionary dynamics of a marine predator-prey interaction)

Summary:
The growing field of eco-evolutionary dynamics has highlighted the importance of reciprocal feedbacks between evolutionary and ecological processes. We tested whether selection could act on existing within-population variation in a predatory trait in the marine dogwhelk, Nucella canaliculata. We reared newly hatched dogwhelks on four prey treatments (thin-shelled Mytilus trossulus, two treatments of M. californianus from two populations known to differ in adult shell thickness, and acorn barnacles). To quantify dogwhelk phenotype, we tested the surviving adult dogwhelks on their ability to drill mid-sized (5-7cm long) M. californianus. We found evidence that dogwhelk phenotype varied among the early-life diet treatments.

cdm_data_type = Other
VARIABLES:
Container (unitless)
Round (unitless)
Population (unitless)
Site_Latitude (degrees_north)
longitude (Site_longitude, degrees_east)
Family (unitless)
Treatment (unitless)
Family_x_Treatment (unitless)
Snail (unitless)
Drilled_Binary (unitless)
Total_Drilled (unitless)
Check_1 (unitless)
Check_2 (unitless)
Check_3 (unitless)
Check_4 (unitless)
Check_5 (unitless)
Dead (unitless)


[Effects of intra-population variation in dogwhelk drilling on the abundance and size of Mytilus californianus mussels] - Effects of intra-population variation in dogwhelk drilling on the abundance and size of Mytilus californianus mussels (Coastal mosaics of local adaptation and the eco-evolutionary dynamics of a marine predator-prey interaction)

Summary:
Few eco-evolutionary studies have analyzed the impacts that evolutionary processes have on community dynamics in a natural field setting. We studied the effects of intra-population variation in predation in a marine dogwhelk (Nucella canaliculata) on mussel bed succession. We outplanted dogwhelks that were reared on four early-life diet treatments and showed evidence of differential mortality and variation in drilling capacity in the lab to experimental field cages and followed the trajectory of succession over the course of a year. At the end of the experiment, the organisms within the cages were collected and the mussels (Mytilus californianus) were measured. Mussels represent the end stage of succession, thus we studied whether variation in drilling traits would impact the size and structure of the mussel bed.

cdm_data_type = Other
VARIABLES:
Block (unitless)
Plot_Number (unitless)
Site_Latitude (degrees_north)
longitude (Site_longitude, degrees_east)
Date (unitless)
Length (millimeters (mm))
Live_vs_Dead (unitless)


[Effects of protists on HBx predation] - Population changes in Halobacteriovorax cultured with protist & prey (Excellence in Research: Assessing the Control by Multiple Micropredators on Bacterial Communities in Estuarine Environments and Characterization of Prey Lysis Products Resulting from Each Predator)

Summary:
Here, we investigate the growth trajectory and predation dynamics of protists, and HBx micro-predators in co-culture with a common prey, V. parahaemolyticus, in a time-series study in marine water microcosms. The microcosms were established with water samples collected from the Apalachicola Bay in northwest Florida, USA and amended with a suspension of prey bacteria. Samples were taken at a high temporal resolution (3-hour intervals for 5 days) to capture detailed measurements and changes in the growth responses of HBx and protists, using both culture- and molecular-based methods. The protists were counted by qPCR and flow cytometry. The HBx were counted by qPCR and a culture plating method

cdm_data_type = Other
VARIABLES:
Treatment (unitless)
Time (hours)
Optical_Density (OD units)
Protists (counts per ml)
Vibrio (gene copies per reaction)
Halobacteriovorax (gene copies per reaction)


[Egg sizes and macromere allocation] - Egg sizes and macromere allocation for diverse annelids and molluscs (Feeding by the ciliated larvae of marine invertebrates: effects of diverse particle capture mechanisms on feeding performance)

Summary:
Egg sizes and macromere allocation for annelids and molluscs used in a comparative analysis of allocation of cytoplasm to macromeres. Many of these data were obtained from the literature, but some were obtained directly by the authors.

cdm_data_type = Other
VARIABLES:
taxon (unitless)
species (unitless)
nutrition (unitless)
taxa (unitless)
egg_diameter (micrometers (um))
egg_volume (cubic micrometer (um3))
allocation (unitless)
alloc_pcnt (unitless)
log_egg_diameter (micrometers (um))
log_egg_volume (cubic micrometer (um3))
logit_allocation (unitless)


[Ehux elemental composition across thermal range] - Elemental stoichiometry for Emiliania huxleyi across a range of 12 temperatures from 8.5-28.6C (How does intensity and frequency of environmental variability affect phytoplankton growth?)

Summary:
This dataset includes elemental stoichiometry for Emiliania huxleyi across a range of 12 temperatures from 8.5-28.6C. Global warming will be combined with predicted increases in thermal variability in the future surface ocean, but how temperature dynamics will affect phytoplankton biology and biogeochemistry is largely unknown. Here, we examine the responses of the globally important marine coccolithophore Emiliania huxleyi to thermal variations at two frequencies (1 d and 2 d) at low (18.5 \u00b0C) and high (25.5 \u00b0C) mean temperatures. Elevated temperature and thermal variation decreased growth, calcification and physiological rates, both individually and interactively. The 1 d thermal variation frequencies were less inhibitory than 2 d variations under high temperatures, indicating that high-frequency thermal fluctuations may reduce heat-induced mortality and mitigate some impacts of extreme high-temperature events. Cellular elemental composition and calcification was significantly affected by both thermal variation treatments relative to each other and to the constant temperature controls. The negative effects of thermal variation on E. huxleyi growth rate and physiology are especially pronounced at high temperatures. These responses of the key marine calcifier E. huxleyi to warmer, more variable temperature regimes have potentially large implications for ocean productivity and marine biogeochemical cycles under a future changing climate.

cdm_data_type = Other
VARIABLES:
Temperature (degrees Celsius)
TPC_PON (unitless)
PIC_POC (unitless)
Chla_POC (Concentration Of Chlorophyll In Sea Water, milligrams/gram)
POC_PON (unitless)


[Ehux growth rates for thermal response curve] - Growth rates for Emiliania huxleyi thermal response curve across 12 temperatures from 8.5-28.6C (How does intensity and frequency of environmental variability affect phytoplankton growth?)

Summary:
This dataset presents growth rates for Emiliania huxleyi thermal response curve across 12 temperatures from 8.5-28.6C.Global warming will be combined with predicted increases in thermal variability in the future surface ocean, but how temperature dynamics will affect phytoplankton biology and biogeochemistry is largely unknown. Here, we examine the responses of the globally important marine coccolithophore Emiliania huxleyi to thermal variations at two frequencies (1 d and 2 d) at low (18.5 \u00b0C) and high (25.5 \u00b0C) mean temperatures. Elevated temperature and thermal variation decreased growth, calcification and physiological rates, both individually and interactively. The 1 d thermal variation frequencies were less inhibitory than 2 d variations under high temperatures, indicating that high-frequency thermal fluctuations may reduce heat-induced mortality and mitigate some impacts of extreme high-temperature events. Cellular elemental composition and calcification was significantly affected by both thermal variation treatments relative to each other and to the constant temperature controls. The negative effects of thermal variation on E. huxleyi growth rate and physiology are especially pronounced at high temperatures. These responses of the key marine calcifier E. huxleyi to warmer, more variable temperature regimes have potentially large implications for ocean productivity and marine biogeochemical cycles under a future changing climate.

cdm_data_type = Other
VARIABLES:
Temperature (degrees Celsius)
Growth_Rate (per day)


[Ehux growth rates under thermal variation] - Growth rates under low and high temperatures for Emiliania huxleyi in constant and fluctuating thermal environments (How does intensity and frequency of environmental variability affect phytoplankton growth?)

Summary:
This dataset includes the growth rates under low and high temperatures for E. huxleyi in constant and fluctuating thermal environments. Global warming will be combined with predicted increases in thermal variability in the future surface ocean, but how temperature dynamics will affect phytoplankton biology and biogeochemistry is largely unknown. Here, we examine the responses of the globally important marine coccolithophore Emiliania huxleyi to thermal variations at two frequencies (1 d and 2 d) at low (18.5 \u00b0C) and high (25.5 \u00b0C) mean temperatures. Elevated temperature and thermal variation decreased growth, calcification and physiological rates, both individually and interactively. The 1 d thermal variation frequencies were less inhibitory than 2 d variations under high temperatures, indicating that high-frequency thermal fluctuations may reduce heat-induced mortality and mitigate some impacts of extreme high-temperature events. Cellular elemental composition and calcification was significantly affected by both thermal variation treatments relative to each other and to the constant temperature controls. The negative effects of thermal variation on E. huxleyi growth rate and physiology are especially pronounced at high temperatures. These responses of the key marine calcifier E. huxleyi to warmer, more variable temperature regimes have potentially large implications for ocean productivity and marine biogeochemical cycles under a future changing climate.

cdm_data_type = Other
VARIABLES:
Growth_Rate (per day)
Temperature (degrees Celsius)
variation (unitless)


[Ehux physiology under thermal variation] - Intracellular elemental quotas under low and high temperatures for E. huxleyi in constant and fluctuating thermal environments (How does intensity and frequency of environmental variability affect phytoplankton growth?)

Summary:
Intracellular elemental quotas under low and high temperatures for E. huxleyi in constant and fluctuating thermal environments. This dataset includes the growth rates under low and high temperatures for E. huxleyi in constant and fluctuating thermal environments. Global warming will be combined with predicted increases in thermal variability in the future surface ocean, but how temperature dynamics will affect phytoplankton biology and biogeochemistry is largely unknown. Here, we examine the responses of the globally important marine coccolithophore Emiliania huxleyi to thermal variations at two frequencies (1 d and 2 d) at low (18.5 \u00b0C) and high (25.5 \u00b0C) mean temperatures. Elevated temperature and thermal variation decreased growth, calcification and physiological rates, both individually and interactively. The 1 d thermal variation frequencies were less inhibitory than 2 d variations under high temperatures, indicating that high-frequency thermal fluctuations may reduce heat-induced mortality and mitigate some impacts of extreme high-temperature events. Cellular elemental composition and calcification was significantly affected by both thermal variation treatments relative to each other and to the constant temperature controls. The negative effects of thermal variation on E. huxleyi growth rate and physiology are especially pronounced at high temperatures. These responses of the key marine calcifier E. huxleyi to warmer, more variable temperature regimes have potentially large implications for ocean productivity and marine biogeochemical cycles under a future changing climate.

cdm_data_type = Other
VARIABLES:
Temperature (degrees Celsius)
variation (unitless)
POC (Particulate Organic Carbon, picograms/cell)
PIC (Particulate Inorganic Carbon, picograms/cell)
PON (picograms/cell)
TPC (picograms/cell)
POP (picograms/cell)
Chla (Concentration Of Chlorophyll In Sea Water, picograms/cell)
carbon_fix_rate (10 -7 umol Carbon cell-1 hr-1)
photosyn_rate (10 -7 umol Carbon cell-1 hr-1)
... (7 more variables)