[yawzi point and tektite] - Coral community structure at Yawazi Point and Tektite in St. John before and after five hurricanes from 1988–2017 (RUI-LTREB Renewal: Three decades of coral reef community dynamics in St. John, USVI: 2014-2019)

These files contain data that support an analysis of the effects of two major hurricanes on coral reefs that have been extensively studied for more than three decades. Major tropical storms are destructive phenomena with large effects on the community dynamics of multiple biomes. On coral reefs, their impacts have been described for decades, leading to the expectation that future storms should have effects similar to those recorded in the past. This expectation relies on the assumption that storm intensities will remain unchanged, and the impacted coral reef communities are similar to those of the recent past; neither assumption is correct. These data support a study quantifying the effects of two category five hurricanes on the reefs of St. John, US Virgin Islands, where 31 y of time-series analyses reveal chronic coral mortality, increasing macroalgal abundance, and five major hurricanes that caused acute coral mortality. Contextualized by these trends, the effects of the most recent storms, Hurricanes Irma and Maria (September 2017), on coral cover were modest. While mean absolute coral cover declined 1\u20134% depending on site, these effects were not statistically discernable. Following decades of increasing abundance of macroalgae, this functional group responded to the  recent hurricanes with large increases in abundance on both absolute and relative scales. Decades of chronic mortality have changed the coral assemblages of St. John to create degraded communities that are resistant to severe storms.

cdm_data_type = Other
VARIABLES:
Site (unitless)
Transect_num (unitless)
Year (years)
Quadrat (unitless)
Timing (unitless)
Orbicella_complex (percent cover)
Montastraea (percent cover)
Agaricia (percent cover)
Colpophyllia (percent cover)
Diploria (percent cover)
Eusmilia (percent cover)
Madracis (percent cover)
... (8 more variables)


[Year 1 orbitrap MZML files] - Raw proteome mass spectrometry data (.mzML files) from pacific herring embryos sampled at Semiahmoo Bay between February and April 2022 (MCA: Utilizing high-throughput proteomics to build a conceptual model of the effects of environmental change on early life stages of genetically diverse herring populations)

These are the raw data files from 5 cohorts of pacific herring embryos collected from Feb through April of 2022.  Embryos were homogenized, and digested for proteomic analysis on a Lumos Orbitrap.  Pooled samples were used with narrow window scans for library generation. The purpose of this data set is exploratory analysis for seasonal differences between early life stage proteome of pacific herring.  All embryos are believed to be from the Semiahmoo Bay population since the Cherry Point population had no spawn detected in 2022.

cdm_data_type = Other
VARIABLES:
Location (unitless)
Date_Sampling (unitless)
latitude (degrees_north)
longitude (degrees_east)
Sample_ID (unitless)
Cohort (unitless)
Replicate (unitless)
Mass_Spec_Run_Number (unitless)
Date_Mass_Spec (unitless)
Sample_Type (unitless)
Filename (unitless)


[zoo_cb_meter_moc] - Zooplankton cubic meter count data collected in the 1-m2 MOCNESS during R/V Albatross IV, R/V Endeavor and R/V Oceanus broadscale cruises in the Gulf of Maine and Georges Bank from 1995-1999 and processed at GSO/URI (GB project) (U.S. GLOBEC Georges Bank)

Zooplankton cubic meter count data collected in the 1-m2 MOCNESS during R/V Albatross IV, R/V Endeavor and R/V Oceanus broadscale cruises in the Gulf of Maine and Georges Bank from 1995-1999 and processed at GSO/URI

cdm_data_type = Other
VARIABLES:
cruiseid (text)
cruise_type (text)
year_cruise_begin (unitless)
month_cruise_begin (mm (01 to12))
day_cruise_begin (dd (01 to 31))
year_cruise_end (unitless)
month_cruise_end (mm (01 to 12))
day_cruise_end (dd (01 to 31))
station (unitless)
station_std (unitless)
depth_w (Depth, meters)
event (unitless)
inst (text)
tow (unitless)
latitude (degrees_north)
longitude (degrees_east)
year_utc_begin (unitless)
month_utc_begin (mm (01 to 12))
day_utc_begin (dd (01 to 31))
time_utc_begin (HHMM)
year_utc_end (unitless)
month_utc_end (mm (01 to 12))
day_utc_end (dd (01 to 31))
time_utc_end (HHMM)
allsort_flag (unitless)
... (11 more variables)


[zoo_pump] - Zooplankton counts (density) from R/V Seward Johnson, R/V Oceanus, and R/V Edwin Link cruises SJ9508, OC303, EL9904, and EL9905 in the Gulf of Maine and Georges Bank from 1995-1999 (GB project) (U.S. GLOBEC Georges Bank)

Zooplankton counts (density) from R/V Seward Johnson, R/V Oceanus, and R/V Edwin Link cruises SJ9508, OC303, EL9904, and EL9905 in the Gulf of Maine and Georges Bank from 1995-1999

cdm_data_type = Other
VARIABLES:
cruiseid
year (GMT)
event
yrday_gmt (decimalday,GMT)
month_gmt (GMT)
day_gmt (GMT)
time_gmt (GMT)
station
latitude (degrees_north)
longitude (degrees_east)
depth (m)
taxon
stage
stage_num
sex
num_per_m3 (number per cubic meter)


[zoo_sq_meter_moc] - Zooplankton square meter count data collected in the 1-m2 MOCNESS during R/V Albatross IV, R/V Endeavor and R/V Oceanus broadscale cruises in the Gulf of Maine and Georges Bank from 1995-1999 and processed at GSO/URI (GB project) (U.S. GLOBEC Georges Bank)

Zooplankton square meter count data collected in the 1-m2 MOCNESS during R/V Albatross IV, R/V Endeavor and R/V Oceanus broadscale cruises in the Gulf of Maine and Georges Bank from 1995-1999 and processed at GSO/UR

cdm_data_type = Other
VARIABLES:
cruiseid (unitless)
cruise_type (unitless)
year_cruise_begin (unitless)
month_cruise_begin (mm (01 to 12))
day_cruise_begin (dd (01 to 31))
year_cruise_end (unitless)
month_cruise_end (mm (01 to 12))
day_cruise_end (dd (01 to 31))
station (unitless)
station_std (unitless)
depth_w (Depth, meters)
event (unitless)
inst (unitless)
tow (unitless)
latitude (degrees_north)
longitude (degrees_east)
year_utc_begin (unitless)
month_utc_begin (mm (01 to 12))
day_utc_begin (dd (01 to 31))
time_utc_begin (HHMM)
year_utc_end (unitless)
month_utc_end (mm (01 to 12))
day_utc_end (dd (01 to 31))
time_utc_end (HHMM)
allsort_flag (unitless)
... (11 more variables)


[zooplankton abund and stages_lmg] - Zooplankton abundance with developmental stages from MOCNESS nets from the ARSV Laurence M. Gould LMG0104, LMG0203 from the Southern Ocean, 2001-2002 (SOGLOBEC project) (U.S. GLOBEC Southern Ocean)

Zooplankton abundance with developmental stages from MOCNESS nets from the ARSV Laurence M. Gould LMG0104, LMG0203 from the Southern Ocean, 2001-2002.

cdm_data_type = Other
VARIABLES:
cruiseid
year (unitless)
station
cast
month_local
day_local
time_start_local (HHmm)
event
latitude (degrees_north)
longitude (degrees_east)
net
depth_open (Depth, meters)
depth (m)
vol_filt (cubic meters)
displ_vol (cubic centimeters)
taxon_group
taxon
stage
samp_fraction_denom
count
abundance (number/m^3)
comments (unitless)


[zooplankton abund and stages_nbp] - Zooplankton abundance and stages from MOCNESS nets from the RVIB Nathaniel B. Palmer from the Southern Ocean, 2001-2002 (SOGLOBEC project, Southern Ocean Krill project) (U.S. GLOBEC Southern Ocean)

Zooplankton from MOCNESS nets were identified and the net sample displacement volume was measured from the RVIB Nathaniel B. Palmer, Southern Ocean, 2001-2002.

cdm_data_type = Other
VARIABLES:
cruiseid
year
station
tow
month_local
day_local
time_local (HHmm)
event
latitude (degrees_north)
longitude (degrees_east)
depth_w (Depth, meters)
region
yrday_local
net
depth_open (Depth, meters)
depth (m)
depth_mid (Depth, meters)
vol_filt (meters3)
displ_vol (milliliters)
taxon_group
taxon
stage
abundance (number per meter3)
comments (unitless)


[zooplankton abund biomass_MOC - nbp] - Zooplankton abundance and biomass from MOCNESS silhouettes, from the RVIB Nathaniel B. Palmer NBP0103, NBP0104 from the Southern Ocean, 2001-2002 (SOGLOBEC project, Southern Ocean Krill project) (U.S. GLOBEC Southern Ocean)

Zooplankton abundance and biomass from MOCNESS silhouettes, from the RVIB Nathaniel B. Palmer NBP0103, NBP0104 from the Southern Ocean, austral fall and winter, 2001-2002

cdm_data_type = Other
VARIABLES:
cruiseid
year
tow
latitude (degrees_north)
longitude (degrees_east)
depth_w (Depth, meters)
net
depth_open (Depth, meters)
depth (m)
depth_mid (Depth, meters)
abundance_total (no. per cubic meter per net)
biomass_total (milligrams per meter3)
taxon
abundance (no. per meter3pernet)
biomass (milligrams per meter3)


[Zooplankton abundance and size from Bongo plankton net tows] - Zooplankton abundance and size data from Bongo plankton net tows conducted in the subtropical Southern California Bight during February and April 2021 (RAPID: Understanding the unprecedented anchovy response to warm-water conditions in the California Current)

This dataset includes zooplankton abundance and size from Bongo plankton net tows conducted in the subtropical Southern California Bight during February and April 2021. Net tows were carried out on several cruises aboard R/V Bob and Betty Beyster and R/V Shearwater.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
ISO_DateTime_PDT (unitless)
Line (unitless)
St (unitless)
Lat (degrees_north)
longitude (Long, degrees_east)
Tow_depth (meters (m))
Mesh_size (micrometers (um))
Taxa (unitless)
Development_stage (unitless)
ind_per_cubic_m (individuals per cubic meter)
Avg_length (micrometers (um))
SD_length (micrometers (um))
Avg_width (micrometers (um))
SD_width (micrometers (um))
Num_Measured (unitless)


[Zooplankton Acidification Lab Results] - Results from Calanus pacificus Acidification Laboratory Experiments from 2019-2020 (Zooplankton Swimming project) (Causes and consequences of hypoxia and pH impacts on zooplankton: Linking movement behavior  to vertical distribution.)

We conducted laboratory experiments using stratified 1 m x 0.1 × 0.1 acrylic water columns to measure the effects of bottom water hypoxia and low pH on mortality, distribution, and swimming behaviors of the calanoid copepod Calanus pacificus. Calanus pacificus were collected from within Puget Sound, Washington, USA, between June and October of 2019 and 2020.  Their behaviors and vertical distributions in response to either hypoxic or acidified bottom waters were observed in an array of 4 replicate columns. Swimming behavior was observed for 90 minutes using 5-megapixel IR USB cameras. Two front-facing cameras (‘bottom camera', ‘surface camera') recorded swimming in the X (left, right) and Z (up, down) directions. An upwards-facing ‘base camera' was added to each tank in 2020 to improve tracking and behavioral analysis of copepods near the bottom. Base cameras recorded the bottom 2 cm of each tank in the X and Y (front, back) directions.

The primary data file of this dataset contains collection and organism details for copepods used in acidification experiments (926368_v1_zooplankton_acidification_pH_experiment_overview.csv). This dataset also includes four Supplemental Files .csv files summarizing results from our acidification experiments (926368_v1_zooplankton_acidification_pH_chemistry.csv, 926368_v1_zooplankton_acidification_pH_moribundity.csv, 926368_v1_zooplankton_acidification_pH_mean_height.csv, 926368_v1_zooplankton_acidification_pH_speed.csv).

cdm_data_type = Other
VARIABLES:
Experiment_Date (unitless)
Collection_Date (unitless)
Sort_Date (unitless)
Collector (unitless)
Collection_Site (unitless)
Lifestage (unitless)
Sex (unitless)
Collection_Lat (degrees_north)
longitude (Collection_long, degrees_east)
Experiment_Type (unitless)
Collection_Notes (unitless)
Experiment_Notes (unitless)


[zooplankton biomass] - Zooplankton biomass and species composition and abundance in the southeastern Caribbean Sea (Cariaco Basin) from October 2001 – January 2017 collected by the CARIACO Ocean Time-Series Program (CARIACO Ocean Time-Series Program)

The CARIACO Ocean Time-Series Program (formerly known as CArbon Retention In A Colored Ocean) started on November 1995 (CAR-001) and ended on January 2017 (CAR-232). Monthly cruises were conducted to the CARIACO station (10.50\u00b0 N, 64.67\u00b0 W) onboard the R/V Hermano Gin\u00e9s of the Fundaci\u00f3n La Salle de Ciencias Naturales de Venezuela. The program studied the relationship between surface primary production, physical forcing variables like the wind, and the settling flux of particulate carbon in the Cariaco Basin. This depression, located on the continental shelf of Venezuela, shows marked seasonal and interannual variation in hydrographic properties and primary production (carbon fixation rates by photosynthesis of planktonic algae).\r\n\r\nZooplankton sampling was done during each CARIACO time-series cruise from October 2001 to January 2017 (cruises CAR071 - CAR232). Oblique BONGO net tow samples from 200 m to the surface were analyzed to determine biomass (dry weight and ash content) and taxonomic composition. Empty values denote that a specific zooplankton group was not found at that cruise.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
Cruise_ID (unitless)
Day (unitless)
Month (unitless)
Year (unitless)
Date (unitless)
latitude (degrees_north)
longitude (degrees_east)
Analyst (unitless)
Mesh_Size (micrometers (um))
TOTAL_DENSITY (individuals per meter cubed (ind/m3))
BIOMASS (miligrams per meter cubed (mg/m3))
ASH (miligrams per meter cubed (mg/m3))
COPEPODS (individual per meter cubed (ind/m3))
CALANOIDS (individual per meter cubed (ind/m3))
CYCLOPOIDA (individual per meter cubed (ind/m3))
... (44 more variables)


[Zooplankton Densities] - Zooplankton densities collected from a seasonally hypoxic fjord on R/V Clifford A Barnes cruises from 2012-2013 (Pelagic Hypoxia project) (Consequences of hypoxia on food web linkages in a pelagic marine ecosystem)

Zooplankton densities collected from a seasonally hypoxic fjord on R/V Clifford A Barnes cruises from 2012-2013 (Pelagic Hypoxia project)

cdm_data_type = Other
VARIABLES:
station (unitless)
latitude (degrees_north)
longitude (degrees_east)
day_night (unitless)
species (unitless)
date (unitless)
time_start (unitless)
life_history_stage (unitless)
sample_code (unitless)
mesh_size (microns)
depth_max (Depth, meters)
depth_min (Depth, meters)
FWC_DS (unitless)
density (count per meter cubed)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)


[Zooplankton from hypoxic waters of Chesapeake Bay] - Concentration of zooplankton, in particular copepods, from hypoxic waters collected by R/V Hugh R. Sharp cruises (HRS100524JP, HRS100819JP, HRS100920JP, HRS110525JP, HRS110719JP, HRS110922JP) in the Chesapeake Bay from 2010-2011 (DeZoZoo project) (Hypoxia in Marine Ecosystems: Implications for Neritic Copepods)

These data represent a merging of electronic data collected from the MOCNESS
sensor systems and the count data from the samples collected with the net
tows. Some nets were used for zooplankton samples, while others were collected
specifically to estimate bay anchovy concentrations. (See associated dataset:[
https://www.bco-dmo.org/dataset/563428](\\http://www.bco-
dmo.org/dataset/563428\\).) These are contained on different sheets, and the
count data was merged individually.

cdm_data_type = Other
VARIABLES:
cruiseid (text)
cruise_informal (text)
year (time)
month_local (time)
tow (text)
day_local (time)
net (text)
gear (text)
time_local (HH:MM)
latitude (degrees_north)
longitude (degrees_east)
yrday_local (time)
vol_filt (cubic meters)
temp (Temperature, degrees centrigrade)
sal (PSU)
O2_mg_L (milligrams per liter)
fluor (milligrams per cubic meter)
turbidity (NTU)
PAR (Downwelling Photosynthetic Photon Radiance In Sea Water, microEinsteins per square meter per second)
lat_end (Latitude, decimal degrees)
lon_end (Longitude, decimal degrees)
... (15 more variables)


[Zooplankton In Situ Videos] - In Situ Amphipod and Copepod Video Output Captured by the Hoodsport ORCA Profiling Mooring Mounted SPC-2 Zoocam in the Hood Canal, Puget Sound, Washington from August to September 2018 (Zooplankton Swimming project) (Causes and consequences of hypoxia and pH impacts on zooplankton: Linking movement behavior  to vertical distribution.)

This dataset consists of videos of zooplankton swimming taken by an in-situ camera system (the SPC UW ZooCam) that was deployed on the Hoodsport ORCA profiling mooring in Hood Canal (Puget Sound), WA in summer 2018. Understanding zooplankton population dynamics is challenging, largely because traditional methods for quantifying zooplankton distributions are costly, limited in scope, and require extended analysis by trained analysts. We developed a novel methodology that combined remotely deployed camera systems, Machine Learning-based identification of zooplankton, and video-based tracking technology to quantify copepods' and amphipods' in situ swimming behaviors in a seasonally hypoxic and acidified fjord.

cdm_data_type = Other
VARIABLES:
vid_id (unitless)
datetime_utc (unitless)
total_frames (frames)
avg_frm_rate (frames per second)
nearest_ctd_cast (unitless)
nearest_ctd_offset (unitless)
depth (m)
oxygen (milligrams per liter (mg/L))
temperature (degrees Celcius)


[Zooplankton/phytoplankton CSIA-AA] - CSIA 15N AA data from phytoplankton, microzooplankton, and Calanus pacificus. (Resolving the trophic connection between protistan grazers and mesozooplankton in marine food webs using amino acid-specific stable isotope analyses)

CSIA 15N AA data from phytoplankton, microzooplankton, and Calanus pacificus.

cdm_data_type = Other
VARIABLES:
Experiment (unitless)
Organism (unitless)
stage (unitless)
bulk_d15N (Bulk D15 N, per mil)
Ala_d15N (Ala D15 N, per mil)
Asp_d15N (Asp D15 N, per mil)
Glu_d15N (Glu D15 N, per mil)
IsoL_d15N (Iso L D15 N, per mil)
Leu_d15N (Leu D15 N, per mil)
Pro_d15N (Pro D15 N, per mil)
Val_d15N (Val D15 N, per mil)
Gly_d15N (GLY D15 N, per mil)
Lys_d15N (LYS D15 N, per mil)
Phe_d15N (Phe D15 N, per mil)
Ser_d15N (Ser D15 N, per mil)
Thr_d15N (THR D15 N, per mil)
Note_Organism (unitless)
Note_bulk_d15N (Note Bulk D15 N, unitless)
Note_Gly_d15N (Note Gly D15 N, unitless)


[zooplankton_taxonomy] - Zooplankton taxonomic data from MOCNESS and IONESS tows from VERTIGO cruises KM0414, ZHNG09RR from the Hawaiian Islands HOT Site, NW SubArctic Pacific Ocean K2 Site, 2004-2005 (VERTIGO project) (VERtical Transport In the Global Ocean)

Zooplankton taxonomic data from MOCNESS and IONESS tows from VERTIGO cruises KM0414, ZHNG09RR from the Hawaiian Islands HOT Site, NW SubArctic Pacific Ocean K2 Site, 2004-2005

cdm_data_type = Other
VARIABLES:
Cruise_ID (text)
event (dimensionless)
date_begin (unitless)
time_begin (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth_end (Depth, meters)
depth (m)
vol_filt (meters^3)
taxon (text)
tax_dens (#/meters^3)


[ZooProcess and Ecotaxa Output Along Physical Gradients from OAPS] - ZooProcess and Ecotaxa output from ZooSCANs of zooplankton collected along physical gradients during OAPS MOCNESS tows during R/V Oceanus northwest Atlantic 2011 cruise OC473 and R/V New Horizon northeast Pacific 2012 cruise NH1208 and imaged in 2021-2022 (Quantifying the drivers of midwater zooplankton community structure)

This dataset consists of the imaging portion of the study described below and includes ZooProcess and Ecotaxa outputs from ZooSCANs performed of zooplankton collected during Multiple Opening-Closing Net and Environmental Sensing System (MOCNESS) tows during R/V Oceanus cruise OC473 in the Northwestern Atlantic in 2011 and R/V New Horizon cruise NH1208 in the Northeastern Pacific in 2012. It includes data for this project from Ecotaxa (export v1.0), an online machine-learning platform that assists in identifying organisms and particles.  The dataset also includes particle measurements generated by ZooProcess software. Day and night stations were sampled between 0 to 1000m depths from 35 to 50 N in the northwest Atlantic in 2011, and from 35 and 50N along CLIVAR line P17N in 2012. These representative subsamples of the formalin-preserved zooplankton community from each net were imaged in 2021 and 2022.

Project description: The objective of this study was to determine how environmental variables shape zooplankton community structure in the midwater. Our primary overarching hypothesis was that the abundance and size class distribution of the zooplankton community are decoupled and are influenced by different environmental variables. Furthermore, differences in zooplankton community composition and diversity in the observed distinct oceanic biogeographical provinces additionally influences both factors. Since zooplankton contributions to biogeochemistry are size dependent, standard descriptions of zooplankton community (biomass, which is a product of size and abundance) are insufficient to generate a predictive understanding of the role of zooplankton in biogeochemical cycles. The project uses particle imaging technology and metabarcoding of archived biological samples in conjunction with open access hydrographic data from two cruises conducted in the N. Atlantic and N. Pacific to test these hypotheses.

cdm_data_type = Other
VARIABLES:
object_id (unitless)
latitude (Object_lat_start, degrees_north)
longitude (Object_lon_start, degrees_east)
object_date (unitless)
object_time (unitless)
time (Object_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
... (146 more variables)


[ZooProcess and Ecotaxa Output for Zooplankton Mediated Aggregates] - ZooProcess and Ecotaxa output from ZooSCANs of zooplankton collected with MOCNESS tows during six R/V Atlantic Explorer cruises from 2021 to 2023 (Collaborative Research: Zooplankton mediation of particle formation in the Sargasso Sea)

This dataset consists of ZooProcess and Ecotaxa outputs from ZooSCANs of plankton caught in the upper 600m using Multiple Opening-Closing Net and Environmental Sensing System (MOCNESS) tows during day- and night-time. It includes data for this project from Ecotaxa (export v1.0), an online machine-learning platform that assists in identifying organisms and particles. The dataset also includes particle measurements generated by ZooProcess software. These samples were collected and processed over two years, with three cruises a year to capture distinct seasons. The goal of this data was to assess high-resolution vertical distribution of zooplankton in order to distinguish diel vertical migrators from resident populations and to quantify contributions to particulate organic carbon flux via fecal pellet production.

Project description: The oceanic biological carbon pump refers to the export of dissolved and particulate organic carbon to the deep ocean, and it is a significant driver of atmospheric carbon uptake by the oceans. Evidence from long-term research carried out at the Bermuda Atlantic Time-series Study (BATS) site suggests that the spectrum of particles collected by gel-traps below the euphotic zone changes drastically below 150 m, which is attributed to resident populations of zooplankton that feed on vertically migrating zooplankton as well as sinking particles. The goals of this study are to investigate the role of different zooplankton taxa on both particle aggregate formation and in particle transformation, and to compare and characterize the particles generated by the zooplankton communities with those collected by particle traps.

cdm_data_type = Other
VARIABLES:
object_id (unitless)
latitude (Object_lat_start, degrees_north)
longitude (Object_lon_start, degrees_east)
object_date (unitless)
object_time (unitless)
time (Object_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
object_link (unitless)
object_depth_min (Meters)
object_depth_max (Meters)
... (143 more variables)


[Zostera marina GenBank SRA accession numbers] - NCBI accession numbers and related metadata for an SRA archive of the seagrass, Zostera marina (RUI: Collaborative Research: Trait differentiation and local adaptation to depth within meadows of the foundation seagrass Zostera marina)

Using recent advances in indirect genetic methods applied to both adult plants and dispersed seeds, we find that the mean seed dispersal in a threatened marine foundation plant (the seagrass Zostera marina) is approximately 100-200 meters. We documented strong phenotypic variation and genome-wide differentiation among plants separated by less than the spatial scale of mean realized dispersal, which suggests genetic isolation by environment in response to depth-related environmental gradients. Within all meadows, the ratio of effective to census size (or Ne/Nc) approximated 0.1%, indicating that a fraction of existing plants provides the genetic variation to allow adaptation to environmental change. The SRA dataset at NCBI contains the raw sequencing reads that were used to create genotypes and genotype likelihoods.

cdm_data_type = Other
VARIABLES:
Accession (unitless)
Sample_Name (unitless)
adult_seed (unitless)
site (unitless)
SvD (unitless)
quad_name (unitless)
longitude (degrees_east)
latitude (degrees_north)
YearCollected (unitless)


[Zostera marina whole genome resequencing] - Sample collection and sequence accession information for Zostera marina whole genome resequencing from specimens collected at 16 geographic locations worldwide in 2017 (Using genomics to link traits to ecosystem function in the eelgrass Zostera marina)

This dataset includes sample collection and sequence accession information for Zostera marina whole genome resequencing from specimens collected at 16 geographic locations worldwide in 2017. Sequence accessions are housed in the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA).

cdm_data_type = Other
VARIABLES:
SampleID (unitless)
BioProject (unitless)
Library_Code (unitless)
Sample_Description (unitless)
Location_Name (unitless)
latitude (degrees_north)
longitude (Long, degrees_east)
SRA_accession (unitless)
Library_type (unitless)
Sampled_tissue (unitless)
Instrument (unitless)
reads (unitless)
Number_of_bases_Raw_fastq (count)
Coverage_Raw_fastq (genomes)
Number_of_bases_Clean_fastq (count)
Coverage_Clean_fastq (genomes)
Mapped_pcnt (percent)
Properly_paired_pcnt (percent)