[mesozooplankton biomass] - Mesozooplankton biomass from MOCNESS tows collected during R/V Oceanus cruises OC415-01, OC415-03, OC404-01, OC404-04 in the Sargasso Sea, 2004-2005 (EDDIES project) (Eddies Dynamics, Mixing, Export, and Species composition)

Zooplankton biomass estimates were determined from 1 m^2, 150 micron mesh
MOCNESS (Multiple Opening/Closing Net and Environmental Sensing System) tows.
The following discrete depth intervals were sampled on the upcast: 0-50,
50-100, 100-150, 150-200, 200-300, 300-400, 400-500, 500-600, and 600-700 m.
Generally paired tows during the day (9:30-15:00 local time) and night
(21:30-03:00) were performed at each station. A single tow generaly covered
5-15 km.\u00a0 The nominal position (lat_n and lon_n) for each tow is the
position at the mid depth 200-300m sampling interval.\u00a0 Table 1 ([pg 1362
PDF](\\http://ocb.whoi.edu/EDDIES/PI-
NOTES/Goldthwait_Steinberg_2008_Table1.pdf\\)) of Goldthwait and Steinberg
(2008) is a sequential list of all MOCNESS mesozooplankton tows and includes
eddy identification number and location.

Each sample was size-fractionated using nested sieves of 0.15 mm, 0.5 mm, 1
mm, 2mm, and 5 mm mesh. Zooplankton in each size class were transferred onto
pre-weighed 0.15 mm nitex mesh filters and rinsed with deionized water.
Samples were then dried for 24 hours at 60 degrees C and weighed.

Data were prepared by Sarah Goldthwait of Humboldt State University
([https://fresca.calstate.edu/faculty/98](\\https://fresca.calstate.edu/faculty/98\\))

Publication: Goldthwait, S. and D.K. Steinberg. 2008. Elevated Biomass of
Mesozooplankton and Enhanced Fecal Pellet Flux in Cold-Core and Mode-Water
Eddies in the Sargasso Sea. Deep Sea Research Part II: Topical Studies in
Oceanography 55: pp. 1360-1377. DOI:
[https://dx.doi.org/10.1016/j.dsr2.2008.01.003](\\https://dx.doi.org/10.1016/j.dsr2.2008.01.003\\)

cdm_data_type = Other
VARIABLES:
Cruise_ID (dimensionless)
date (unitless)
... (16 more variables)


[Metabarcoding zooplankton at station ALOHA: NCBI SRA accession numbers] - NCBI Sequence Read Archive (SRA) accession numbers for fastq sequence files for each zooplankton community sample (Plankton Population Genetics project) (Basin-scale genetics of marine zooplankton)

These data include sample information and accession links to sequence data at
The National Center for Biotechnology Information (NCBI) Sequence Read Archive
(SRA).

This data submission consists of metabarcoding data for the zooplankton
community in the epipelagic, mesopelagic and upper bathypelagic zones
(0-1500m) of the North Pacific Subtropical Gyre. The goal of this study was to
assess the hidden diversity present in zooplankton assemblages in midwaters,
and detect vertical gradients in species richness, depth distributions, and
community composition of the full zooplankton assemblage. Samples were
collected in June 2014 from Station ALOHA (22.75, -158) using a 1 meter square
Multiple Opening and Closing Nets and Environmental Sampling System (MOCNESS,
200um mesh), on R/V Falkor cruise FK140613. \u00a0Next generation sequence
data (Illumina MiSeq, V3 chemistry, 300-bp paired-end) of the zooplankton
assemblage derive from amplicons of the V1-V2 region of 18S rRNA (primers
described in Fonseca et al. 2010). The data includes sequences and read count
abundance information for molecular OTUs from both holoplanktonic and
meroplanktonic taxa

Related dataset containing OTU tables and fasta sequences (representative /
most abundance read for each OTU):
[Metabarcoding zooplankton at ](\\http://www.bco-
dmo.org/dataset/700279\\)[station](\\http://www.bco-
dmo.org/dataset/700279\\)[ ALOHA: OTU tables and ](\\http://www.bco-
dmo.org/dataset/700279\\)[fasta](\\http://www.bco-
dmo.org/dataset/700279\\)[ files](\\http://www.bco-
dmo.org/dataset/700279\\)

cdm_data_type = Other
VARIABLES:
analysis_name (unitless)
... (15 more variables)


[Metabarcoding zooplankton at station ALOHA: OTU tables and fasta files] - Metabarcoding zooplankton at station ALOHA: Operational taxonomic unit (OTU) tables and fasta files for representative sequences from each OTU (Plankton Population Genetics project) (Basin-scale genetics of marine zooplankton)

Metabarcoding data for the zooplankton community in the epipelagic, mesopelagic and upper bathypelagic zones (0-1500m) of the North Pacific Subtropical Gyre. The goal of this study was to assess the hidden diversity present in zooplankton assemblages in midwaters, and detect vertical gradients in species richness, depth distributions, and community composition of the full zooplankton assemblage. Samples were collected in June 2014 from Station ALOHA (22.75, -158) using a 1-meter square Multiple Opening and Closing Nets and Environmental Sampling System (MOCNESS, 200um mesh), on R/V Falkor cruise FK140613. Next generation sequence data (Illumina MiSeq, V3 chemistry, 300-bp paired-end) of the zooplankton assemblage derive from amplicons of the V1-V2 region of 18S rRNA (primers described in Fonseca et al. 2010). The data includes sequences and read count abundance information for molecular OTUs from both holoplanktonic and meroplanktonic taxa.  All results derive from analyses in mothur v1.36.1 (Schloss et al. 2009, Kozich et al. 2013).

cdm_data_type = Other
VARIABLES:
analysis_name (unitless)
latitude (degrees_north)
longitude (degrees_east)
analysis_description (unitless)
OTU_ID (unitless)
FA3_N1_SF1 (per OTU)
FA3_N1_SF2 (per OTU)
FA3_N1_SF3 (per OTU)
FA3_N2_SF1 (per OTU)
FA3_N2_SF2 (per OTU)
FA3_N2_SF3 (per OTU)
FA3_N3_SF1 (per OTU)
FA3_N3_SF2 (per OTU)
FA3_N3_SF3 (per OTU)
FA3_N4_SF1 (per OTU)
FA3_N4_SF2 (per OTU)
FA3_N4_SF3 (per OTU)
... (68 more variables)


[Metadata for longread sequencing of Carcinus maenas] - Metadata for longread sequencing of Carcinus maenas collected from Buzzard's Bay, Massachusetts from May 2022 to Aug 2022 (Collaborative Research: Tracking fine-scale selection to temperature at the invasion front of a highly dispersive marine predator)

This project explores genomic changes in the invasive European green crab (Carcinus maenas), including at a putative inversion polymorphism. To begin to explore structural variation without a reference genome, we conducted semi-targeted longread sequencing of the C. maenas genome using MinION sequencing. This dataset includes individual metadata for 6 raw MinION reads, archived at GenBank's SRA under BioProject PRJNA1171011. This sequencing was conducted using crabs from Massachusetts waters.

cdm_data_type = Other
VARIABLES:
sample_name (unitless)
Collection_date (unitless)
SRA_accession (unitless)
biosample_accession (unitless)
embayment (unitless)
state (unitless)
sex (unitless)
life_stage (unitless)
run_ID (unitless)
sequencing_date (unitless)
run_day (days)
probe_set (unitless)


[Metadata for RNASeq of green crabs in the northeast Pacific] - Metadata for RNASeq of green crabs collected in the northeast Pacific from Apr 2017 to Aug 2021 (Collaborative Research: Tracking fine-scale selection to temperature at the invasion front of a highly dispersive marine predator)

This project explores genomic changes in the invasive European green crab (Carcinus maenas) in the northeast Pacific. It tracks the earliest stages of green crab invasion into a new environment where the species is predicted to have substantial ecological and economic impacts. Samples span time and space across the species range in the northeast Pacific, with a focus on areas where the species is currently expanding. This dataset includes individual metadata for 127 raw RNA-Seq reads, archived at GenBank's SRA under BioProject PRJNA1170986.

cdm_data_type = Other
VARIABLES:
sample_name (unitless)
SRA_accession (unitless)
biosample_accession (unitless)
embayment (unitless)
site (unitless)
state (unitless)
sex (unitless)
size_CW (Millimeters (mm))
color (unitless)
collection_date (unitless)
latitude (degrees_north)
longitude (degrees_east)
collector (unitless)
collector_affiliation (unitless)


[Metadata for targeted genotyping of green crabs in the northeast Pacific] - Metadata for targeted genotyping of green crabs collected in the northeast Pacific from Aug 2016 to Oct 2022 (Collaborative Research: Tracking fine-scale selection to temperature at the invasion front of a highly dispersive marine predator)

This project explores genetic changes in the invasive European green crab (Carcinus maenas) in the northeast Pacific, using targeted genotyping of SNPs identified in prior high-resolution population genomics in the region. It tracks the early stages of green crab invasion into a new environment, particularly through repeated sampling of multiple size-classes of crabs from the same sites over multiple years. Samples span time and space across the species range in the northeast Pacific, with a focus on the coast of Washington and Oregon. This dataset includes individual collection and accession metadata for 1,662 crabs, for which raw demultiplexed reads are archived at GenBank's SRA under BioProject PRJNA1177418.

cdm_data_type = Other
VARIABLES:
sample_name (unitless)
SRA_accession (unitless)
biosample_accession (unitless)
embayment (unitless)
site (unitless)
state (unitless)
sex (unitless)
size_CW (Millimeters (mm))
color (unitless)
collection_date (unitless)
latitude (degrees_north)
longitude (degrees_east)
collector (unitless)
collector_affiliation (unitless)


[Metadata from meta-analysis on CovGE in phenotypic results] - Metadata for studies from meta-analysis investigating covariance between genetic and environmental (CovGE) effects in phenotypic results (RCN: Evolution in Changing Seas)

Covariance can exist between the genetic and environmental influences on phenotype (CovGE) and can have an important role in ecological and evolutionary processes in nature and population responses to environmental change. CovGE is commonly called countergradient variation (CnGV; negative CovGE)or cogradient variation (CoGV; positive CovGE)and has been recognized in classic studies that have established several long-standing hypotheses about CnGV and CoGV. For instance, it is hypothesized that CnGV is more prevalent in nature than CoGV, that CnGV is more prevalent in fish, amphibian, and invertebrate taxa, across latitudinal or altitudinal environmental gradients, and more frequently occurs in metabolic compensation traits, including development, growth, feeding, metabolism, and activity, while CoGV is more commonly observed in morphological traits. The recent development of a standardized method to measure CovGE allows for the first rigorous quantitative exploration of these hypotheses. We use meta-analysis and apply the novel quantitative method to test whether the above hypotheses are supported in the literature. We found no differences in frequency of CnGV and CoGV, and no systematic patterns relative to taxa, environmental gradient, or trait type. However, our analyses suggest that CovGE may be as common as gene by environment (GxE) interactions. Given that CovGE is likely to have a strong impact on future outcomes for organisms experiencing environmental change, that significant CovGE occurred frequently, and the lack of systematic patterns in the occurrence of CovGE, we encourage a more widespread application of measuring CovGE.

cdm_data_type = Other
VARIABLES:
STUDY_ID (unitless)
First_Author (unitless)
Data_file_name (unitless)
G_match_E (unitless)
natural_env_type (unitless)
GxE_sig (unitless)
phylum_division (unitless)
genus (unitless)
species (unitless)
gen_number (unitless)
... (19 more variables)


[Metagenome and metatranscriptome sequences from deep-sea hydrothermal vent microbial communities] - Metagenome and metatranscriptome sequences from deep-sea hydrothermal vent microbial communities collected on cruises AT42-22, TN405, and NA108 from May 2019 to Jun 2022 (Collaborative Research: Microbes need frenemies: unveiling microbial relationships with protists and viruses that support deep-sea hydrothermal vent food webs)

This dataset is a collection of sample metadata, identified for all samples, and NCBI accession information for samples and sequence runs produced as part of the "Microbes need frenemies" project. This project examines trophic interactions among microbial eukaryotes, viruses, bacteria, and archaea at deep-sea hydrothermal vents using metagenomics and metatranscriptomics and characterizes these ecologically-significant interactions, such as mutualism, predator-prey, or virus-host.

We sequenced samples collected during the 2020 expedition AT42-22 to the Mid-Cayman Rise hydrothermal vent fields, as well as from the 2019 expedition NA108 to the Gorda Ridge and the 2022 expedition TN405 to the Axial seamount. Sequencing targeted archaea, bacteria, and viruses with metagenomics and microbial eukaryotes with metatranscriptomics. We plan to use these data to identify ecologically-significant interactions among protists, viruses, bacteria, and archaea, with a specific emphasis on microbial mortality via viral lysis and eukaryotic grazing. Archived samples were also included in the analysis.

cdm_data_type = Other
VARIABLES:
SAMPLE_ID (unitless)
SHORT_SAMPLE_ID (unitless)
SAMPLE_NAME (unitless)
LAB_NUM (unitless)
CRUISE_ID (unitless)
FIELD_REGION (unitless)
YEAR (unitless)
FIELD_YEAR (unitless)
VENT (unitless)
latitude (degrees_north)
longitude (degrees_east)
ORIGIN_TYPE (unitless)
ORIGIN_DESCRIPTION (unitless)
FRENEMIES_PROJ (unitless)
... (11 more variables)


[Metagenome profiles of common emergent Caribbean sponges] - Metagenome profiles of common emergent Caribbean sponges collected from temporary artificial reef in the Florida Keys, USA in Jan 2022 (Collaborative Research: The Influence of Sponge Holobiont Metabolism on Coral Reef Dissolved Organic Matter and Reef Microorganisms)

Sponges are prevalent on Caribbean coral reefs and are important filter-feeders that can influence seawater nutrient composition. This study examined the metagenome profiles of sponge species that were also used for examination of nutrient processing. The metagenome profiles (BioProject PRJNA1256488) showed convergence in several nitrogen pathways (e.g., dissimilatory, assimilatory nitrate reduction, denitrification) but differences in the taxonomic composition of those pathways. Additional analysis of the metagenome profiles is ongoing. Included in this dataset are accession information, collection metadata, and sample preparation data for common emergent Caribbean sponges collected from temporary artificial reef in the Florida Keys in January 2022.

cdm_data_type = Other
VARIABLES:
Accession_Number (unitless)
Sample_Name (unitless)
Organism (unitless)
Sample_Preparation (unitless)
Collection_Date (unitless)
latitude (degrees_north)
longitude (degrees_east)


[Metagenome sequencing samples] - Contextual data for samples collected for metagenome sequencing from the deep subseafloor biosphere as accessed via CORKs along the Juan de Fuca Ridge flank in the Northeast Pacific Ocean between 2008 and 2014 (Collaborative Research: Illuminating microbes and their viruses within the dark ocean crust through strain-level approaches)

This dataset provides contextual information about samples used for metagenome sequencing. These samples were collected from pristine crustal fluids sampled via CORK observatories along the Juan de Fuca Ridge flank in the Northeast Pacific Ocean off the coast of North America. Also included are metadata for seawater and sediment metagenomes that have been sequenced as controls. All of the data are publicly available via the National Center for Biotechnology Information (NCBI) accession numbers provided in the dataset (BioProject numbers PRJNA655018 to PRJNA655040).

cdm_data_type = Other
VARIABLES:
Sample_Type (unitless)
Sample_Name (unitless)
DNA_Isolation_Method (unitless)
Collection_Date (unitless)
Collection_Year (unitless)
Collection_Month (unitless)
Collection_Day (unitless)
Sample_Source (unitless)
Fluid_Delivery_Line (unitless)
Environment (unitless)
latitude (degrees_north)
longitude (degrees_east)
Depth (msb)
Area (unitless)
Full_Sample_Name_and_Description (unitless)
IMG_Genome_ID (unitless)
NCBI_Bioproject_Accession (unitless)
NCBI_Biosample_Accession (unitless)
SRA_ID (unitless)


[Metagenome] - Metagenomic data from samples collected on cruise Chikyu-331 in the Okinawa Trough, Japan from September to October 2010 (An In-Depth analysis of the subvent biosphere within Okinawa Backarc Basin (IODP 331, Iheya North Hydrothermal Field) sediments)

The purpose these metagenomic data was to capture a distinct changeover of microbial assemblages between the mesophilic horizons above 10 mbsf and the hottest (55C) hydrothermal clay horizon. In this section of the dynamic Iheya North Hydrothermal system, the temperature gradient was estimated to be ~3C/m. These metagenomes provide functional evidence to this model, demonstrating that molecular signals represent a responsive microbial community to the increasingly demanding environmental conditions.

cdm_data_type = Other
VARIABLES:
Cruise_ID (unitless)
Sample_Name (unitless)
latitude (degrees_north)
longitude (degrees_east)
Water_depth (meters)
Top_Depth (meters below seafloor)
Bottom_Depth (meters below seafloor)
Sediment_type (unitless)
Estimated_Temp (degrees Celsius)
MGRAST_Name (unitless)
MGRAST_ID (unitless)
Notes (unitless)


[Metagenomic samples] - Metagenomic sample information, genetic accession identifiers (NCBI SRA, JGI IMG), and estimated gene copies from Orcas Island coastal waters (2 m depth) in May and June of 2021 (Collaborative Research: Rhythm and Blooms: Deciphering metabolic, functional and taxonomic interactions over the life cycle of a phytoplankton bloom)

This dataset contains NCBI Sequence Read Archive (SRA) accession numbers, DOE JGI Integrated Microbial Genomes & Microbiome (IMG/M) IDs, and estimated gene copies for metagenomic samples collected at Orcas Island, WA, USA Coastal Ocean (2m depth) from 5/27/21 to 6/18/21 collected as part of the following study.

Study abstract:

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

cdm_data_type = Other
VARIABLES:
DateID_PT (unitless)
... (33 more variables)


[Metagenomic sequence metadata] - NCBI Metagenomic metadata for Lau Basin (Tonga) mollusc gill tissue collected on R/V Thompson cruises TN235 and TN401 and R/V Falkor cruise FK160407 between May 2009 and Apr 2022 (RUI: Collaborative Research: The impact of symbiont-larval interactions on species distributions across southwestern Pacific hydrothermal vents)

Metagenomic sequence data from Lau Basin hydrothermal vent mollusc gill tissues that contain chemosynthetic bacterial symbionts. Samples were collected between May 2009 to April 2022 aboard R/V Thompson cruises TN235 (May-June 2009) and TN401 (April 2016) and R/V Falkor cruise FK160407 (April 2022) for population and comparative genomics analysis of host animal and bacterial symbionts.

cdm_data_type = Other
VARIABLES:
Sample_ID (unitless)
Bioproject_accession (unitless)
Biosample_accession (unitless)
Host_species (unitless)
Tissue_type (unitless)
latitude (degrees_north)
longitude (degrees_east)
Collection_date (unitless)
Cruise (unitless)
depth (m)
MAG_biosample_accession (unitless)
Sequencing_technologies (unitless)
SRA_Study (unitless)
SRA_accession (unitless)
Assembly_methods (unitless)
Symbiont_MAG_ID (unitless)
MAG_acc (unitless)
MAG_organism (unitless)
Host_AphiaID_accepted (unitless)
Host_LSID (unitless)


[Metal quotas of Line P diatoms in added Zn and Co incubation studies] - Metal quotas of NE Pacific and Altantic diatom isolates measured via ICP-MS after growth in zinc and cobalt media amendments in experiments with cultures collected from R/V Thomas G. Thompson cruise TN280, along Line P in the NE Pacific, in May of 2012 (US GEOTRACES PMT: Cobalt Biogeochemical Cycling and Connections to Metalloenzymes in the Pacific Ocean)

Metal quotas of two NE Pacific Line P diatom isolates and one Atlantic diatom isolate measured via ICP-MS after growth in zinc and cobalt media amendments.  Experiments with cultures collected from the GeoMICS expedition on the R/V Thomas G. Thompson (cruise TN280), along Line P in the NE Pacific, in May of 2012.

cdm_data_type = Other
VARIABLES:
Culture (unitless)
Added_Zn (nanomoles per liter (nmol/L))
Added_Co (nanomoles per liter (nmol/L))
Total_Zn (nanomoles per liter (nmol/L))
Total_Co (nanomoles per liter (nmol/L))
log_Zn2plus (moles per liter (mol/L))
log_Co2plus (moles per liter (mol/L))
CO_to_P_avg (dimensionless)
ZN_to_P_avg (dimensionless)
CD_to_P_avg (dimensionless)
MN_to_P_avg (dimensionless)
FE_to_P_avg (dimensionless)
NI_to_P_avg (dimensionless)
CU_to_P_avg (dimensionless)
MO_to_P_avg (dimensionless)


[Metatranscriptomic nutrient response experiments - 2021 DY131] - Data from nutrient manipulation experiments (conducted on EXPORTS cruise DY131) aimed at relieving or inducing nutrient stress in phytoplankton and quantifying these responses using metatranscriptomic sequencing (Collaborative Research: Diatoms, Food Webs and Carbon Export - Leveraging NASA EXPORTS to Test the Role of Diatom Physiology in the Biological Carbon Pump)

This dataset includes data from nutrient manipulation experiments aimed at relieving or inducing nutrient stress in phytoplankton and quantifying these responses using metatranscriptomic sequencing. Experiments were conducted by adding key macronutrients (N, P, Si) and Fe in different combinations over different growth periods, simulating potential alleviation of in situ nutrient stress or the induction of nutrient stress. Experiments were conducted on the EXports Processes in the Oceans from RemoTe Sensing (EXPORTS) cruise DY131 in the North Atlantic during May of 2021.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
Date_UTC (unitless)
Time_UTC (unitless)
Event (unitless)
Activity (unitless)
Station (unitless)
latitude (degrees_north)
longitude (degrees_east)
exp_id (unitless)
Incubation (unitless)
Treatment (unitless)
replicate (unitless)
BioProject (unitless)
BioSample (unitless)
SRA_sample (unitless)
Phosphate (millimoles per cubic meter (mmol m^3))
Phosphate_flag (unitless)
Silicate (millimoles per cubic meter (mmol m^3))
Silicate_flag (unitless)
Nitrite (millimoles per cubic meter (mmol m^3))
Nitrite_flag (unitless)
... (8 more variables)


[Meteorological Data] - Meteorological data from the Tudor Hill Marine Atmospheric Observatory, Bermuda in 2017 to 2024 (Operation of a Community Marine-Atmospheric Sampling Facility at Tudor Hill, Bermuda)

The BIOS Tudor Hill Marine Atmospheric Observatory (THMAO) has been supported by the NSF Chemical Oceanography and Atmospheric Chemistry Programs following a major refit in 2003. Since that time it has provided a unique research facility for the scientific community. The specific objectives are:

1) To operate and maintain a state-of-the-art marine atmospheric sampling and observing facility at Tudor Hill, Bermuda, available for use by the wider U.S. and international research community;
2) To continue the collection of continuous meteorological data and weekly bulk-aerosol and rainwater samples, which will be archived at BIOS and made freely available to other researchers;
3) To collect additional atmospheric samples and data for other investigators (primarily in longer-term time-series programs), and to provide for the use of the facility in person by other investigators (primarily in shorter-term intensive programs).

cdm_data_type = Other
VARIABLES:
TIMESTAMP (unitless)
RECORD (unitless)
Mean_WS (meters per second (m/s))
VectorMean_WS (meters per second (m/s))
VectorMean_WD (degrees)
StdDev_WD (degrees)
SonicU (meter per second (m/sec))
SonicV (meter per second (m/sec))
SonicW (meter per second (m/sec))
SonicTemp_C (degrees Celsius)
batt_volt_Min (volts direct current (VDC))
Rain_Tot (millimeters (mm))
AirTempC_Avg (degrees Celsius)
RH_Avg (percent (%))
BP_mmHg_Avg (millimeters of mercury (mm Hg))
SlrW (W/m2)
SlrW_Avg (W/m2)
SlrW_Max (W/m2)


[Meteorological Data] - Meteorological data from the Tudor Hill Marine Atmospheric Observatory, Bermuda in 2017, 2019, 2020, 2021 and 2022 (Operation of a Community Marine-Atmospheric Sampling Facility at Tudor Hill, Bermuda)

The BIOS Tudor Hill Marine Atmospheric Observatory (THMAO) has been supported by the NSF Chemical Oceanography and Atmospheric Chemistry Programs following a major refit in 2003. Since that time it has provided a unique research facility for the scientific community. The specific objectives are:

1) To operate and maintain a state-of-the-art marine atmospheric sampling and observing facility at Tudor Hill, Bermuda, available for use by the wider U.S. and international research community;
2) To continue the collection of continuous meteorological data and weekly bulk-aerosol and rainwater samples, which will be archived at BIOS and made freely available to other researchers;
3) To collect additional atmospheric samples and data for other investigators (primarily in longer-term time-series programs), and to provide for the use of the facility in person by other investigators (primarily in shorter-term intensive programs).

cdm_data_type = Other
VARIABLES:
TIMESTAMP (untiless)
RECORD (unitless)
Mean_WS (meters per second (m/s))
ResultantMean_WS (meters per second (m/s))
ResultantMean_WD (degrees)
StdDev_WD (degrees)
SonicU (meter per second (m/sec))
SonicV (meter per second (m/sec))
SonicW (meter per second (m/sec))
SonicTemp_C (degrees Celsius)
batt_volt_Min (volts direct current (VDC))
Rain_Tot (millimeters (mm))
AirTempC_Avg (degrees Celsius)
RH_Avg (percent (%))
BP_mmHg_Avg (millimeters of mercury (mmHg))


[Meteorological observations from NOAA station 8761724] - Meteorological observations from NOAA station 8761724, Grande Isle, LA from September 20, 2022, to September 29, 2024. (CAREER: Integrating Seascapes and Energy Flow: learning and teaching about energy, biodiversity, and ecosystem function on the frontlines of climate change)

Subset of the NOAA Tides and Currents NOAA webpage. It includes meteorological observations of wind speed and direction which, in conjunction with landscape data, are used as a rough calculation of fetch distance in this study. Ultimately, the fetch distance variable was not included in the final analysis.

cdm_data_type = Other
VARIABLES:
latitude (degrees_north)
longitude (degrees_east)
Date (unitless)
Time_GMT (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
Wind_Speed_kn (knots)
Wind_Dir_deg (degrees)
Wind_Gust_kn (knots)
Air_Temp_F (Degrees Fahrenheit)
Baro_mb (millibar)
Humidity_perc (percentage (%))
Visibility_nm (nanometers)


[Methane Seep Macrofaunal Morphospecies] - Macrofaunal morphospecies from hard-substrate methane seep samples collected on R/V Atlantis cruise AT50-12, Southern California Borderland from July 2023 (Methanosphere project) (Collaborative Research: Redefining the footprint of deep ocean methane seepage for benthic ecosystems)

This dataset documents macrofaunal communities associated with hard substrates (carbonate, phosphorite, and wood) collected from methane seeps in the Southern California Borderland. Samples were obtained with the HOV Alvin during R/V Atlantis cruise AT50-12 (July 16–28, 2023). The dataset provides morphospecies-level counts of macrofauna together with collection and sample metadata.

cdm_data_type = Other
VARIABLES:
Alvin_Dive (unitless)
Date_Deployed (unitless)
Date_Recovered (unitless)
Site (unitless)
Experiment (unitless)
Substrate_Type (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
Depth_Category (unitless)
Oxygen (micromoles per kilogram (umol/kg))
Oxygen_Category (unitless)
Seepage_Category (unitless)
Sample_Number (unitless)
Surface_Area (square centimetres (cm^2))
Sample_ID (count)
Acari_sp_1 (count)
Actiniaria_unidentified_isotopes (count)
Actiniaria_sp_1 (count)
Actiniaria_sp_2 (count)
Actiniaria_sp_3 (count)
Actiniaria_sp_4 (count)
Actiniaria_sp_5 (count)
Agathotanaidae_sp_1 (count)
... (250 more variables)


[Micro-satellite genotypes 2012] - Microsatellite genotypes and geolocation data from the Belizean Barrier reef collected in 2012. (An Integrative Investigation of Population Connectivity Using a Coral Reef Fish)

Microsatellite genotypes and geolocation data from the Belizean Barrier reef collected in 2012.

cdm_data_type = Other
VARIABLES:
individual_ID (unitless)
site_id (unitless)
year (unitless)
latitude (degrees_north)
longitude (degrees_east)
Locus1_1419triBA (Locus1 1419tri BA, count)
Locus1_1419triBB (Locus1 1419tri BB, count)
Locus2_14528tetYA (Locus2 14528tet YA, count)
Locus2_14528tetYB (Locus2 14528tet YB, count)
Locus3_18144triGA (Locus3 18144tri GA, count)
Locus3_18144triGB (Locus3 18144tri GB, count)
Locus4_21378triGA (Locus4 21378tri GA, count)
Locus4_21378triGB (Locus4 21378tri GB, count)
Locus5_23415tetRA (Locus5 23415tet RA, count)
Locus5_23415tetRB (Locus5 23415tet RB, count)
Locus6_23889triBA (Locus6 23889tri BA, count)
Locus6_23889triBB (Locus6 23889tri BB, count)
Locus7_25362triGA (Locus7 25362tri GA, count)
Locus7_25362triGB (Locus7 25362tri GB, count)
Locus8_25632tetRA (Locus8 25632tet RA, count)
Locus8_25632tetRB (Locus8 25632tet RB, count)
Locus9_25745tetBA (Locus9 25745tet BA, count)
Locus9_25745tetBB (Locus9 25745tet BB, count)
Locus10_29109tetBA (Locus10 29109tet BA, count)
Locus10_29109tetBB (Locus10 29109tet BB, count)
Locus11_6231tetBA (Locus11 6231tet BA, count)
Locus11_6231tetBB (Locus11 6231tet BB, count)
... (6 more variables)


[Microbial Cellular Abundance Epifluorescent Microscopy] - Microbial cellular abundance growth response through epifluorescent microscopy from the Neuse River Estuary, North Carolina USA from 2021-2022 (Bacteria as Biosensors of Carbon and Energy Flow in Marine Ecosystems: Quantitative Links Between Substrates, Transcripts, and Metabolism)

Microbial cellular abundance was enumerated for two microcosm incubation experiments to track the growth response of the microbial community. This dataset targets bacterial and phytoplankton abundance through epiflorescent microscopy. Sample water originated from the West Bay of the Neuse River Estuary, North Carolina USA in 2021 and 2022. The microcosms were 60-L, conducted in biological duplicates under three light treatment incubations: 12 h light-dark cycle of photosynthetically active radiation (PAR), 12 h light-dark cycle of UV-B radiation, or darkness. Unfiltered sample water was stained with SYBR Green I (Fall 2021 experiment) or DAPI (Spring 2022 experiment) for enumeration at 60x for bacterial and cyanobacterial abundance. Autofluorescence from excitation at 620 nm and 60x was used to enumerate small phytoplankton and cyanobacteria. This dataset highlights patterns in microbial growth across treatments over the course of the incubation and is used to generate cell-specific, normalized rates for associated datasets in the project.

cdm_data_type = Other
VARIABLES:
Experiment_Name (unitless)
latitude (degrees_north)
longitude (degrees_east)
Date (unitless)
Incubation_Day (days)
Treatment (unitless)
Tank_ID (unitless)
Method (unitless)
Stain (unitless)
Excitation (nanometers (nm))
Magnification (unitless)
Size_Fraction (micrometers (um))
cells_per_L_avg (cells L-1)
cells_per_L_sd (cells L-1)
ratio_620_tot (unitless)
ratio_err (unitless)


[Microbial community composition of the Cinder Cones Cold Seep] - Microbial community composition from 16s V4 region amplicon sequencing of the methane Seep at the Cinder Cones Cold Seep site, Nov 2016 (EAGER: Elucidating the Antarctic Methane Cycle at the Cinder Cones Reducing Habitat)

This dataset includes microbial community composition from 16s V4 region amplicon sequencing on 151 marine sediment community samples collected from the Cinder Cones Cold Seep site [-77.8, 166.666] in the Ross Sea region, Antarctica in November 2016. Data are uploaded to the NCBI Sequence Read Archive under submission SUB2655615 [https://www.ncbi.nlm.nih.gov/bioproject/PRJNA387720] with a subset of the data from that archive originating from this project.

cdm_data_type = Other
VARIABLES:
accession (unitless)
sample_name (unitless)
organism (unitless)
host (unitless)
time (Collection Date, seconds since 1970-01-01T00:00:00Z)
geo_loc_name (unitless)
latitude (degrees_north)
longitude (degrees_east)
Replicate (unitless)
Sediment_Depth_cm (centimeters)
Habitat (unitless)


[Microbial diversity survey Axial Seamount 2023] - Metabarcoding data from microbial diversity survey at Axial Seamount aboard the R/V Thompson cruise TN420 in Jul 2022 and Jul 2023 (Characterizing and quantifying the impact of phagotrophic protists at hot spots of primary production at Axial Seamount)

Microorganisms are the ancestral forms of life on our planet and have been instrumental in shaping all of Earth?s environments into what they are today. In the ocean, microbial prokaryotes and eukaryotes form the foundation of marine food webs through their activity and interactions. Single-celled microbial eukaryotes (or protists) are some of the most important species on the planet, yet our understanding of how their activities influence and regulate the ocean ecosystem is poorly constrained. At deep-sea hydrothermal vents in particular, our understanding of microbial food web dynamics is incomplete without including the role of microbial eukaryotes. In July 2023, we completed an ROV expedition to Axial Seamount (NE Pacific), where we used ROV Jason to collect low temperature diffuse vent fluid and surrounding plume and background seawater. These samples were filtered in situ or shipboard to collect the microbial communities. Data provided are the product of amplicon tag-sequencing using both 18S rRNA and 16S rRNA gene primers.

cdm_data_type = Other
VARIABLES:
Accession (unitless)
Sample_Name (unitless)
NCBI_Organism_Name (unitless)
NCBI_Tax_ID (unitless)
BioProject (unitless)
dive_ctd (unitless)
site_name (unitless)
collection_method (unitless)
sample_type (unitless)
filter (unitless)
processing (unitless)
primer (unitless)
target_population (unitless)
location_name (unitless)
depth_category (unitless)
depth (m)
fluid_origin (unitless)
... (4 more variables)


[Microbial eukaryotic diversity: Mid-Cayman Rise SRA dataset] - 18S rRNA amplicon sequencing of microbial eukaryotes from the Mid-Cayman Rise acquired Jan-Feb, 2020 (Probing subseafloor microbial interactions via hydrothermal vent fluids: A focus on protists)

Single-celled microbial eukaryotes inhabit deep-sea hydrothermal vent environments and play critical ecological roles in the vent-associated microbial food web. 18S rRNA amplicon sequencing of diffuse venting fluids from two geochemically-distinct hydrothermal vent fields was applied to investigate community diversity patterns among protistan assemblages. Piccard and Von Damm vent fields are situated 20 km apart at the Mid-Cayman Rise in the Caribbean Sea. We describe species diversity patterns with respect to hydrothermal vent field and sample type, identify putative vent endemic microbial eukaryotes, and test how vent fluid geochemistry may influence microbial community diversity. Individual vent fields supported distinct and highly diverse assemblages of protists that included potentially endemic or novel vent-associated strains. This data adds to our growing knowledge of the biogeography of deep-sea microbial eukaryotes.

cdm_data_type = Other
VARIABLES:
Experiment_Accession (unitless)
Experiment_Title (unitless)
Organism_Name (unitless)
Instrument (unitless)
Study_Accession (unitless)
Study_Title (unitless)
Sample_Accession (unitless)
Total_Size_Mb (Mb)
Total_Bases (bp)
Library_Name (unitless)
Library_Strategy (unitless)
Library_Source (unitless)
Library_Selection (unitless)
Vent_field (unitless)
Collection (unitless)
Vent_name (unitless)
DiveID (unitless)


[Microbial eukaryotic focused metatranscriptome data] - Microbial eukaryotic focused metatranscriptome data from seawater collected in coastal California in May of 2015 (Protistan, prokaryotic, and viral processes at the San Pedro Ocean Time-series)

Seawater was collected via Niskin bottles mounted with a CTD from the San Pedro Ocean Time-series (SPOT) station off the coast of Southern California near the surface (5 m), 150 and 890 m, in late May 2015. Raw sequence data was generated as part of a metatranscriptome study targeting the protistan community.  Raw sequences are available at the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) database (SRA Study ID: SRP110974, BioProject: PRJNA391503).  Sequences for BioProject PRJNA608423 will be available at NCBI on Jan 1st, 2021.\r\n\r\nThese data were published in Hu et al. (2018).

cdm_data_type = Other
VARIABLES:
SRA_run (unitless)
SRA_run_link (unitless)
SRA_study (unitless)
bioproject_accession (unitless)
biosample_accession (unitless)
library_ID (unitless)
title (unitless)
sample_name (unitless)
library_strategy (unitless)
library_source (unitless)
library_selection (unitless)
library_layout (unitless)
platform (unitless)
instrument_model (unitless)
design_description (unitless)
filetype (unitless)
filename (unitless)
filename2 (unitless)


[Microbial Fluid Cell Counts] - Microbial fluid cell count data collected on Falkor (too), cruise Fkt231202 with ROV fluid sampler in the Central Eastern Pacific offshore Costa Rica in Dec 2023 (Octopus Odyssey)

These data are microscopic cell counts of microbes in venting fluids and background seawater samples collected during Octopus Odyssey (too) expedition on Falkor (too), cruise Fkt231202, in the Central Eastern Pacific from December 4th to December 12th, 2023. Instrument used to collect the sampler was a SUPR (Suspended Underwater Particulate Rosette) sampler modified for ROV SuBastian. Cells were visualized using SYBR staining. Samples were collected by Julie Huber.

cdm_data_type = Other
VARIABLES:
Cruise_Number (unitless)
Sample_Number (unitless)
Sample_Type (unitless)
ROV_Storage (unitless)
Sample_code (unitless)
Description (unitless)
Dive (unitless)
Dive_Site (unitless)
Time_UTC (unitless)
Date (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
Cells_per_mL (cells/mL)
standard_deviation (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)


[Microbial Respiration] - Microbial respiration from microcosm experiments conducted under three light treatments using water originating from West Bay of the Neuse River Estuary, North Carolina USA in 2021 and 2022 (Bacteria as Biosensors of Carbon and Energy Flow in Marine Ecosystems: Quantitative Links Between Substrates, Transcripts, and Metabolism)

Microbial respiration assays were conducted for two microcosm incubation experiments. Sample water originated from West Bay of the Neuse River Estuary, North Carolina USA in 2021 and 2022. The microcosms were 60-liters, conducted in biological duplicates under three light treatment incubations: 12-hour light-dark cycle of photosynthetically active radiation (PAR), 12-hour light-dark cycle of UV-B radiation, or darkness. Respiration assays of the unfiltered and 5-micron filtered community were initiated every few days using foil-membrane optodes to examine light effects on community respiration.

cdm_data_type = Other
VARIABLES:
Experiment_Name (unitless)
Date (unitless)
Time_EDT (unitless)
Incubation_day (days)
Treatment (unitless)
Tank_ID (unitless)
Size_fraction_um (micrometers (um))
respiration_uM_O2_d_1 (micromoles O2 per day (uM O2 d-1))
respiration_uM_C_d_1 (micromoles C per day (uM C d-1))
r2 (unitless)
RSE (unitless)
No_pts (unitless)
ISO_DateTime_Local (unitless)


[Microbiome dynamics of coral reef and cleanerfish] - Microbiome dynamics of coral reef and cleanerfish from ecological surveys, in situ manipulations, and laboratory experiments conducted from 2020-2021 (Collaborative Research: Cleaning stations as hubs for the maintenance and recovery of microbial diversity on coral reefs.)

Coral reefs host some of the most iconic symbiotic interactions in nature and are host to the highest diversity of life on the planet. Cleaning symbiosis, wherein small fish or shrimp remove external parasites and associated microorganisms from specific clients, is common on coral reefs. Sites on the reef occupied by cleaners, or "cleaning stations", attract a wide variety of fish species that engage in direct physical contact with the cleaner. In this study, we used a combination of ecological surveys, in situ manipulations, and laboratory experiments to examine the unique features of cleaning stations to understand transfer of bacterial and archaeal symbionts amongst fish and within coral reef environment. We used microbial 16S rRNA gene amplicons, environmental parameters, and other molecular tools to evaluate the dynamics between coral microbiomes, cleanerfish skin microbiomes, and the environment. This dataset contains metadata describing sequenced samples, including sample name, data deposition accession records, and measurements at the time of sample collection.

cdm_data_type = Other
VARIABLES:
BioProject_accession (unitless)
BioSample_accession (unitless)
sample_name (unitless)
SRA_accession (unitless)
collection_date (unitless)
geo_loc_name (unitless)
host (unitless)
lat (degrees_north)
longitude (degrees_east)
isolation_source (unitless)
host_common_name (unitless)
host_disease (unitless)
host_condition (unitless)
host_coral_cleaner_goby_pretreatment (unitless)
host_coral_reef_id (unitless)
location_survey_date (unitless)
... (13 more variables)


[Microbiomes of Caribbean sponges] - Microbiome data from sponges collected in 2013 and 2014 from reefs in Honduras, Belize, Panama and the Florida Keys. (Collaborative Research: Investigations into microbially mediated ecological diversification in sponges)

Marine sponges host diverse communities of microbial symbionts that expand the metabolic capabilities of their host, but the abundance and structure of these communities is highly variable across sponge species. Specificity in these interactions may fuel host niche partitioning on crowded coral reefs by allowing individual sponge species to exploit unique sources of carbon and nitrogen, but this hypothesis is yet to be tested. Given the presence of high sponge biomass and the coexistence of diverse sponge species, the Caribbean Sea provides a unique system in which to investigate this hypothesis. To test for ecological divergence among sympatric Caribbean sponges and investigate whether these trends are mediated by microbial symbionts, we measured stable isotope (δ13C and δ15N) ratios and characterized the microbial community structure of sponge species at sites within four regions spanning a 1700 km latitudinal gradient. Samples were collected in 2013 and 2014 from reefs in Honduras, Belize, Panama, and the Florida Keys. There was a low (median of 8.2 %) overlap in the isotopic niches of sympatric species; in addition, host identity accounted for over 75% of the dissimilarity in both δ13C and δ15N values and microbiome community structure among individual samples within a site. There was also a strong phylogenetic signal in both δ15N values and microbial community diversity across host phylogeny, as well as a correlation between microbial community structure and variation in δ13C and δ15N values across samples. Together, this evidence supports a hypothesis of strong evolutionary selection for ecological divergence across sponge lineages and suggests that this divergence is at least partially mediated by associations with microbial symbionts.

cdm_data_type = Other
VARIABLES:
Bioproject (unitless)
Accession (unitless)
Region (unitless)
Dive_Site (unitless)
latitude (degrees_north)
longitude (degrees_east)
Collection_date (unitless)
File_id (unitless)
Sample_name (unitless)
Seq_count_post_proc (number)
Sponge_Species (unitless)
Read_direction (unitless)


[microcosm_summary] - Experimental results: summary of microcosm data from Dauphin Island Cubitainer Experiment (DICE) from samples collected by R/V E.O. Wilson in the Gulf of Mexico, Alabama (En-Gen DMSP Cycling project) (En-Gen: A Functional Genomics Approach to Organic Sulfur Cycling in the Ocean)

Summary of parameters measured in experimental and control microcosms as part of the Dauphin Island Cubitainer Experiment (DICE).

cdm_data_type = Other
VARIABLES:
exp_id (text)
latitude (degrees_north)
longitude (degrees_east)
site_desc (text)
microcosm (text)
microcosm_type (text)
exp_day (integer)
leu_inc_rate (nM/d)
leu_inc_rate_sd (nM/d)
chl_a (Concentration Of Chlorophyll In Sea Water, ug/L)
chl_a_sd (ug/L)
Fv_to_Fm (dimensionless)
Fv_to_Fm_sd (dimensionless)
sulfate_yield (%)
sulfate_yield_sd (%)
DMSP_tot (nM)
DMSP_tot_sd (nM)
DMSO (nM)
DMSO_sd (nM)
DMSO_yield (%)
DMSO_yield_sd (%)
DMSPd (nM)
DMSPd_sd (nM)
DMSPd_rate_const (1/d)
DMSPd_rate_const_sd (1/d)
DMSPd_consump (nM/d)
... (15 more variables)


[Micronekton AA CSIA ALOHA: Amino acid specific isotopes in micronekton] - Amino acid compound specific isotope values for micronekton from R/V Kilo Moana KM1109, KM1123, KM1407, KM1418, and other cruises in the Central North Pacific, Station ALOHA, Tropical Pacific, 2007-2014 (Collaborative Research: Isotopic insights to mercury in marine food webs and how it varies with ocean biogeochemistry)

This dataset contains amino acid compound specific concentrations in micronekton collected during R/V Kilo Moana cruises around the ALOHA observatory (KM1407, KM1418, KM2011, and a few other undocumented cruises). For more information about the ALOHA observatory see: http://aco-ssds.soest.hawaii.edu/. These data were published in Gloeckler et al (2018), Supporting Information file lno10762-sup-0001-suppinfo1.xlsx

cdm_data_type = Other
VARIABLES:
SpeciesID (Species ID, unitless)
FamilyID (Family ID, unitless)
SpecimenID (Specimen ID, unitless)
Sample_site (unitless)
Year (unitless)
Month (unitless)
CruiseID (Cruise ID, unitless)
n (individuals)
Length_mm (millimeters)
Length_Type (length)
Tissue_Type (sample_type)
delta15N_ppt_v_AIR (Delta15 N Ppt V AIR, permil)
delta13C_ppt_v_VPDB (Delta13 C Ppt V VPDB, permil)
C_N_mol_mol (unitless)
Alanine (unitless)
Glycine (unitless)
Threonine (unitless)
Serine (unitless)
Valine (unitless)
Leucine (unitless)
Isoleucine (unitless)
Proline (unitless)
Aspartic_acid (unitless)
... (7 more variables)


[Microorganisms associated with doliolids] - Eukaryotic and prokaryotic microbial taxa retained by wild-caught doliolids collected during bloom events at three different shelf locations in the northern California Current system in June 2019. (Collaborative Research: Comparative feeding by gelatinous grazers on microbial prey)

Doliolids have a unique ability to impact the marine microbial community through bloom events and high filtration rates. Their predation on large eukaryotic microorganisms is established and evidence of predation on smaller prokaryotic microorganisms is beginning to emerge. We studied the retention of both eukaryotic and prokaryotic microbial taxa by wild-caught doliolids in the northern California Current system. Doliolids were collected during bloom events identified at three different shelf locations with variable upwelling intensity.

cdm_data_type = Other
VARIABLES:
bioproject_accession (unitless)
biosample_accession (unitless)
sample_name (unitless)
sra_sample_accession (unitless)
sample_accession_title (unitless)
organism_name (unitless)
organism_taxonomy_id (unitless)
organism_taxonomy_name (unitless)
keyword (unitless)
biosample_package (unitless)
collection_date (unitless)
depth (m)
env_broad_scale (unitless)
env_local_scale (unitless)
env_medium (unitless)
geo_loc_name (unitless)
latitude (Sampling_lat, degrees_north)
longitude (Sampling_lon, degrees_east)
size_frac (unitless)
host (unitless)
source_material_id (unitless)
status (unitless)
... (5 more variables)


[Microorganisms associated with pyrosomes] - High-throughput sequencing of the 16S rRNA gene, microscopy, and flow cytometry of pyrosome-associated microorganisms compared to seawater sampled during a Pyrosoma atlanticum bloom in the Northern California Current System in July 2018. (Collaborative Research: Comparative feeding by gelatinous grazers on microbial prey)

Pyrosomes are widely distributed pelagic tunicates that have the potential to reshape marine food webs when they bloom. However, their grazing preferences and interactions with the background microbial community are poorly understood. The diversity, relative abundance, and taxonomy of pyrosome-associated microorganisms were compared to seawater during a Pyrosoma atlanticum bloom in the Northern California Current System using high-throughput sequencing of the 16S rRNA gene, microscopy, and flow cytometry.

cdm_data_type = Other
VARIABLES:
bioproject_accession (unitless)
biosample_accession (unitless)
sample_name (unitless)
sra_sample_accession (unitless)
sample_accession_title (unitless)
organism_name (unitless)
organism_taxonomy_id (unitless)
organism_taxonomy_name (unitless)
keywords (unitless)
biosample_package (unitless)
collection_date (unitless)
env_broad_scale (unitless)
env_local_scale (unitless)
env_medium (unitless)
geo_loc_name (unitless)
host (unitless)
latitude (Sampling_lat, degrees_north)
longitude (Sampling_lon, degrees_east)
depth (m)
host_length (centimeter (cm))
source_material_id (unitless)
status (unitless)
... (20 more variables)


[Microsphere counts from incubation chambers of Oikopleura dioica] - Microsphere counts from incubation chambers of Oikopleura dioica prior to and following feeding incubations for experiment with artificial microspheres with two functionalized surfaces in three sizes (Collaborative Proposal: Are all cell surfaces the same? The effects of particle surface property on predator-prey interactions in the microbial loop)

Cell surface properties can strongly mediate microbial interactions with predators in soil and host-pathogen systems. Yet, the role of microbial surface properties in avoiding or enhancing predation in the ocean remains a research frontier. Appendicularians are globally abundant marine suspension feeders that capture marine microorganisms in a complex mucous filtration system. We used artificial microspheres to test whether the surface properties of prey particles influenced selection by the appendicularian, O. dioica.  Across microsphere sizes (0.5, 1, 2 and 3 µm) and concentrations (~103-106 particles ml-1), which were varied to represent realistic microbial communities, carboxylate- and amine-modified particles were handled differently by the appendicularians. The carboxylate-modified particles were enriched in the gut while the amine-modified particles were enriched in the mucous filters, leading to different particle fates.
This dataset includes incubation chamber concentrations at the beginning and end of feeding incubations.

cdm_data_type = Other
VARIABLES:
Incubation (unitless)
Sample_Number (unitless)
Ti_Tf (unitless)
C_0_5_um_ml (Count per grid)
C_1_um_ml (Count per grid)
C_2_um_ml (Count per grid)
C_3_um_ml (Count per grid)
A_0_5_um_ml (Count per grid)
A_1_um_ml (Count per grid)
A_2_um_ml (Count per grid)
A_3_um_ml (Count per grid)


[microstructd06] - Averages of EPSONDE Microstructure Profiles from the Deep Site, R/V Seward Johnson cruise SJ9506 in the Gulf of Maine and Georges Bank in 1995 as part of the U.S. GLOBEC program (GB project) (U.S. GLOBEC Georges Bank)

Averages of EPSONDE Microstructure Profiles from the Deep Site, R/V Seward Johnson cruise SJ9506 in the Gulf of Maine and Georges Bank in 1995 as part of the U.S. GLOBEC program.

cdm_data_type = Other
VARIABLES:
cruiseid
latitude (degrees_north)
longitude (degrees_east)
profile
yrday_gmt (decimal day, GMT)
press (decibars)
temp (Temperature, degrees C)
sal (PSU)
sigma_t (kilograms/meter3)
eps (watts/kilogram)
chi_t (degrees C2/second)
k_t (meters2/second)
k_rho (meters2/second)


[microstructd08] - Averages of EPSONDE Microstructure Profiles from the Deep Site, R/V Seward Johnson cruise SJ9508 in the Gulf of Maine and Georges Bank in 1995 as part of the U.S. GLOBEC program (GB project) (U.S. GLOBEC Georges Bank)

Averages of EPSONDE Microstructure Profiles from the Deep Site, R/V Seward Johnson cruise SJ9508 in the Gulf of Maine and Georges Bank in 1995 as part of the U.S. GLOBEC program.

cdm_data_type = Other
VARIABLES:
cruiseid
latitude (degrees_north)
longitude (degrees_east)
profile
yrday_gmt (decimal day, GMT)
press (decibars)
temp (Temperature, degrees C)
sal (PSU)
sigma_t (kilograms/meter3)
eps (watts/kilogram)
chi_t (degrees C2/second)
k_t (meters2/second)
k_rho (meters 2/second)


[microstructs06] - Averages of EPSONDE Microstructure Profiles from the Shallow Site, R/V Seward Johnson cruise SJ9506 in the Gulf of Maine and Georges Bank in 1995 as part of the U.S. GLOBEC program (GB project) (U.S. GLOBEC Georges Bank)

Averages of EPSONDE Microstructure Profiles from the Shallow Site, R/V Seward Johnson cruise SJ9506 in the Gulf of Maine and Georges Bank in 1995 as part of the U.S. GLOBEC program.

cdm_data_type = Other
VARIABLES:
cruiseid
latitude (degrees_north)
longitude (degrees_east)
profile
yrday_gmt (decimal day, GMT)
press (decibars)
temp (Temperature, degrees C)
sal (PSU)
sigma_t (kilograms/meter3)
eps (watts/kilogram)
chi_t (degrees C2/second)
k_t (meters2/second)
k_rho (meters2/second)


[microstructs08] - Averages of EPSONDE Microstructure Profiles from the Shallow Site, R/V Seward Johnson cruise SJ9508 in the Gulf of Maine and Georges Bank in 1995 as part of the U.S. GLOBEC program (GB project) (U.S. GLOBEC Georges Bank)

Averages of EPSONDE Microstructure Profiles from the Shallow Site, R/V Seward Johnson cruise SJ9508 in the Gulf of Maine and Georges Bank in 1995 as part of the U.S. GLOBEC program.

cdm_data_type = Other
VARIABLES:
cruiseid
latitude (degrees_north)
longitude (degrees_east)
profile
yrday_gmt (decimal day, GMT)
press (decibars)
temp (Temperature, degrees C)
sal (PSU)
sigma_t (kilograms/meter3)
eps (watts/kilogram)
chi_t (degrees C2/second)
k_t (meters2/second)
k_rho (meters2/second)


[microzoo_epi_abund] - Cell abundance estimates of heterotrophic protists by size-class, based on epifluorescence microscopy from samples collected on R/V Melville cruise MV1008 in the Costa Rica Dome in 2010 (CRD FLUZiE project) (Costa Rica Dome FLUx and Zinc Experiments)

Cell abundance estimates of heterotrophic protists by size-class, based on epifluorescence microscopy. Samples were collected on the MV1008 cruise in the Costa Rica Dome (CRD) region of the Eastern Tropical Pacific Ocean.

cdm_data_type = Other
VARIABLES:
event (integer)
cast (integer)
cycle (text)
date_local (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
niskin (integer)
taxon (text)
size_class (micrometers (um))
abundance (cells per milliliter (cells/mL))


[microzoo_epi_biomass] - Carbon biomass estimates of heterotrophic protists by size-class, based on epifluorescence microscopy from samples collected on R/V Melville cruise MV1008 in the Costa Rica Dome in 2010 (CRD FLUZiE project) (Costa Rica Dome FLUx and Zinc Experiments)

Carbon biomass estimates of heterotrophic protists by size-class, based on epifluorescence microscopy. Samples were collected on the MV1008 cruise in the Costa Rica Dome (CRD) region of the Eastern Tropical Pacific Ocean.

cdm_data_type = Other
VARIABLES:
event (integer)
cast (integer)
cycle (text)
date_local (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
niskin (integer)
taxon (text)
size_class (micrometers (um))
biomass (micrograms Carbon per liter (ug C L-1))


[mims_to_irms] - Comparison of Membrane Inlet Mass Spectrometry (MIMS) to Isotope Ratio Mass Spectrometer (IRMS) (EAGER:  Collaborative Research:  Detection limit in marine nitrogen fixation measurements - Constraints of rates from the mesopelagic ocean)

In order to ensure that 15N2 atom% effectuated by Membrane Inlet Mass Spectrometry, we tested whether the mass-specific signal ratios returned by MIMS are equivalent with parallel measurements on a Isotope Ratio Mass Spectrometer, on the basis that the latter returns accurate ratios (see 778000 cal_iso). MIMS and IRMS returned identical values for parallel samples.

cdm_data_type = Other
VARIABLES:
Subsample (unitless)
MIMS_at_pcnt (unitless)
stdev_MIMS_at_pcnt (unitless)
IRMS_15N_at_pcnt (IRMS 15 N At Pcnt, unitless)
stdev_IRMS_15N_at_pcnt (Stdev IRMS 15 N At Pcnt, unitless)
IRMS_at_pcnt_no_furnace (unitless)
stdev_IRMS_at_pcnt_no_furnace (unitless)


[MIS_Benthic_Quadrats] - Abundance of taxa from images collected by the ROV/SCINI in benthic quadrats under the McMurdo Ice Shelf, Dec. 2008 (Development of a Remotely Operated Vehicle for Under Sea Ice Research in Polar Environments)

This dataset includes abundances of taxa that were observed in images taken in benthic quadrats under the McMurdo Ice Shelf, Antarctica during December 2008. The imagery was collected with a Remotely Operated Vehicle called the 'Submersible Capable of under Ice Navigation and Imaging' (ROV/SCINI). Quadrats ranged in area from 0.08 to0.75 meters^2.

cdm_data_type = Other
VARIABLES:
latitude (degrees_north)
longitude (degrees_east)
date (unitless)
replicate (unitless)
quadrat_area_m2 (meters^2)
taxon (unitless)
abundance_m2 (number per square meter)


[MIS_Benthic_Transect] - Abundance of taxa from images collected by the ROV/SCINI along benthic transects under the McMurdo Ice Shelf, Nov./Dec. 2008 (Development of a Remotely Operated Vehicle for Under Sea Ice Research in Polar Environments)

This dataset includes abundances of taxa that were observed in images taken along benthic transects under the McMurdo Ice Shelf, Antarctica during November and December 2008. The imagery was collected with a Remotely Operated Vehicle called the 'Submersible Capable of under Ice Navigation and Imaging' (ROV/SCINI). Transects ranged in area from 3 to 33 meters^2.

cdm_data_type = Other
VARIABLES:
latitude (degrees_north)
longitude (degrees_east)
dive (unitless)
replicate (unitless)
transect_area_m2 (meters^2)
taxon (unitless)
abundance_m2 (number per square meter)


[MIS_Midwater_Transect] - Abundance of Operational Taxonomic Units (OTU's) from images collected by the ROV/SCINI along midwater transects under the McMurdo Ice Shelf, Dec. 2008 (Development of a Remotely Operated Vehicle for Under Sea Ice Research in Polar Environments)

Abundance of Operational Taxonomic Units (OTU's) from images collected by the ROV/SCINI along midwater transects under the McMurdo Ice Shelf, Dec. 2008

cdm_data_type = Other
VARIABLES:
latitude (degrees_north)
longitude (degrees_east)
date (unitless)
depth (m)
replicate (unitless)
transect_length_m (meters)
Mertensiidae (number/meter along transect)
white_streak (number/meter along transect)
Medusazoa (number/meter along transect)
white_dot (number/meter along transect)
Euphausia (number/meter along transect)
pink_dot (number/meter along transect)


[Mixed Layer] - Estimates of mixed layer depths (MLD) mean mixed-layer values of temperature, salinity, and other measurements from R/V Roger Revelle cruise RR2201 in the Eastern Indian Ocean (Argo Basin) from January to March 2022 (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean)

This dataset contains estimates of mixed layer depths (MLD) and mean mixed-layer values of temperature, salinity, sigma-t density, % transmission, oxygen concentration, % oxygen saturation, and fluorometric chlorophyll a from CTD downcast profiles for cruise RR2201 on R/V Roger Revelle (BLOOFINZ-IO, January-March 2022) in the Argo Basin region off NW Australia.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
Event (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Cycle_Day (unitless)
CTD_Cast (unitless)
MLD (meters (m))
Temp (degrees Celsius)
Saliniity (PSU)
Sigma_t (kg/m3 - 1000)
Xmissn (percent per meter (% m-1))
O2 (micromoles per kilogram (umol kg-1))
O2_pcnt_sat (percent (%))
Fluoro (milligrams per cubic meter (mg m-3))


[MMETSP locations and e-values] - Marine Microbial Eukaryote Transcriptome Sequencing Project (MMETSP) location information on samples obtained on Gould (LMG1411) in the Western Antarctica Peninsula during 2014 (Polar Transcriptomes project) (Iron and Light Limitation in Ecologically Important Polar Diatoms: Comparative Transcriptomics and Development of Molecular Indicators)

Marine Microbial Eukaryote Transcriptome Sequencing Project (MMETSP) location information on samples obtained on Gould (LMG1411) in the Western Antarctica Peninsula during 2014 (Polar Transcriptomes project)

cdm_data_type = Other
VARIABLES:
phylum_max (unitless)
genus_max (unitless)
species_max (unitless)
strain_max (unitless)
TAXON_ID_mean (unitless)
latitude (degrees_north)
longitude (degrees_east)
lon_360 (Longitude, decimal degrees)
lat2 (Latitude, decimal degrees)
evalue_paste (unitless)
evalue_mean (unitless)
NCGR_PEP_ID_paste (unitless)
MMETSP_ID_paste (unitless)


[MO - biogeochemical and microbial field surveys] - Biogeochemical and microbial field surveys from the BATS site, Bermuda from R/V Atlantic Explorer cruises from 2009-2013 (Ocean Microbial Observatory project) (Transitions in the Surface Layer and the Role of Vertically Stratified Microbial Communities in the Carbon Cycle - An Oceanic Microbial Observatory)

Biogeochemical and microbial field surveys from the BATS site, Bermuda from R/V Atlantic Explorer cruises from 2009-2013. This dataset includes water samples collected from 2009-2013 at the Bermuda Hydrostation that were analyzed for DOC, POC, bacterial abundance, leucine, and thymidine incorporation.

cdm_data_type = Other
VARIABLES:
cruise_id (unitless)
cruise_id2 (unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
station (unitless)
latitude (degrees_north)
longitude (degrees_east)
cast_type (unitless)
cast (unitless)
sample (unitless)
depth_n (Depth, meters)
depth (m)
DOC (micromoles per liter)
DOC_stdev (umol/L)
POC (Particulate Organic Carbon, umol/L)
bact_abund (10^8 cells/liter)
bact_abund_stdev (10^8 cells/liter)
leuc_incorp (picomoles per liter per hour)
leu_sd (picomoles per liter per hour)
thy_incorp (picomoles per liter per hour)
thy_sd (picomoles per liter per hour)


[MO - sugars] - Sugar concentrations from the BATS site in the Sargasso Sea, 2001-2004 (Ocean Microbial Observatory project) (Transitions in the Surface Layer and the Role of Vertically Stratified Microbial Communities in the Carbon Cycle - An Oceanic Microbial Observatory)

Sugar concentrations and dissolved combined neutral sugar (DCNS) dynamics were measured from samples for DCNS collected monthly to bimonthly between 2001 and 2004 at the BATS study site aboard the R/V Weatherbird II, Western Sargasso Sea.

cdm_data_type = Other
VARIABLES:
cruise_id (unitless)
cruise_id2 (unitless)
cruise_code (unitless)
station (unitless)
cast_type (unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
year_decimal
latitude (degrees_north)
longitude (degrees_east)
depth_ (Depth, meters)
depth (m)
fucose (nanomoles/liter)
rhamnose (nanomoles/liter)
arabinose (nanomoles/liter)
galactose (nanomoles/liter)
glucose (nanomoles/liter)
mannose (nanomoles/liter)
DCNS (nanomoles/liter)


[MO - virioplankton abund-FISH probe] - Virioplankton abundance using FISH probe at BATS site in the western Sargasso Sea from 2000-2011 (Ocean Microbial Observatory project) (Transitions in the Surface Layer and the Role of Vertically Stratified Microbial Communities in the Carbon Cycle - An Oceanic Microbial Observatory)

Virioplankton abundances were measured from samples collected from January 2000 to December 2011 as part of the larger BATS program aboard the R/V Weatherbird II or the R/V Atlantic Explorer. Supporting data provided by the BATS time-series program and are available at (http://bats.bios.edu/). This dataset reports abundances quantified using FISH (Fluorescence in situ hybridization).

cdm_data_type = Other
VARIABLES:
station (unitless)
cruise_ID (unitless)
date_in (unitless)
decyear (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
depth_nom (Depth, meters)
depth_mixed (Depth, meters)
abund_Probe_Bact (10^8 cells/liter)
abund_Probe_Bact_sd (10^8 cells/liter)
abund_Eubac (10^8 cells/liter)
abund_Cyano (10^7 cells/liter)
abund_SAR11 (10^8 cells/liter)
abund_Cyt (10^7 cells/liter)
abund_Rose (10^7 cells/liter)


[MO - virioplankton abundance] - Virioplankton abundance from multiple cruises at the Bermuda AtlanticTime Series Station (BATS), Western Sargasso Sea from 2000-2011 (Ocean Microbial Observatory project) (Transitions in the Surface Layer and the Role of Vertically Stratified Microbial Communities in the Carbon Cycle - An Oceanic Microbial Observatory)

Virioplankton abundances were measured from samples collected from January 2000 to December 2011 at the Bermuda Atlantic Time Series Station (BATS), Western Sargasso Sea, as part of the larger BATS program aboard the R/V Weatherbird II or the R/V Atlantic Explorer. Supporting data provided by the BATS time-series program and are available at (http://bats.bios.edu/).

cdm_data_type = Other
VARIABLES:
station (unitless)
cruise_ID (unitless)
date_in (unitless)
decyear (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
depth_nom (Depth, meters)
depth_mixed (Depth, meters)
abund_vir (10^9 cells per liter)
abund_vir_sd (10^9 cells per liter)


[MOC zoop AK-LTOP] - AK-LTOP MOCNESS tow zooplankton abundance and biomass from R/V Alpha Helix, R/V Wecoma multiple cruises in the Northeast Pacific from 1997-2004 (NEP project) (U.S. GLOBEC Northeast Pacific)

AK-LTOP MOCNESS tow zooplankton abundance and biomass from R/V Alpha Helix, R/V Wecoma multiple cruises in the Northeast Pacific from 1997-2004.

cdm_data_type = Other
VARIABLES:
year (unitless)
cruise_id (text)
sta_id (dimensionless)
tow (dimensionless)
date_local (unitless)
month_local (mm (01 to 12))
day_local (dd (0 to 31))
yrday_local (dimensionless)
net (dimensionless)
latitude (degrees_north)
longitude (degrees_east)
depth_min (Depth, meters)
depth (m)
vol_filt (meters^3)
time_local (HHMM)
species (text)
NODC_code (dimensionless)
stage (text)
abundance (number per meter3)
biomass (grams/meter^3)


[MOC1 zoop abund] - MOCNESS-1 Plankton Abundances from the R/V Wecoma, R/V New Horizon W0004B, NH0005, W0007A, NH0007, W0009A, W0204A, W0205A from the Northeast Pacific, 2000 and 2002 (NEP project) (U.S. GLOBEC Northeast Pacific)

MOCNESS-1 Plankton Abundances from the R/V Wecoma, R/V New Horizon W0004B, NH0005, W0007A, NH0007, W0009A, W0204A, W0205A from the Northeast Pacific, 2000 and 2002 (NEP project)

cdm_data_type = Other
VARIABLES:
cruise_id (n/a)
year (n/a)
program (n/a)
cast (n/a)
station (n/a)
latitude (degrees_north)
longitude (degrees_east)
depth_bottom (Depth, meters)
sample_id (n/a)
min_sample_depth (meters)
depth (Max Sample Depth, m)
month_local (n/a)
day_local (n/a)
time_local (n/a)
d_n_flag (n/a)
gear_type (n/a)
gear_area_m2 (m^2)
gear_mesh (mm)
vol_filt (m^3)
counter_id (n/a)
comments (n/a)
nodc_code (n/a)
species (n/a)
life_stage (n/a)
abund (individuals per m^3)


[MOC10_abund] - Zooplankton abundance data from the 10m2 MOCNESS from R/V Endeavor, R/V Albatross I, and; R/V Oceanus broadscale cruises in the Gulf of Maine and Georges Bank from 1995-1999 (GB project (U.S. GLOBEC Georges Bank)

Zooplankton abundance data from the 10m2 MOCNESS from R/V Endeavor, R/V Albatross I, and; R/V Oceanus broadscale cruises in the Gulf of Maine and Georges Bank from 1995-1999

cdm_data_type = Other
VARIABLES:
cruiseid (text)
year (unitless)
month_local (unitless)
station_std (integer)
time_of_day (text)
time_start (unitless)
time_end (unitless)
latitude (degrees_north)
longitude (degrees_east)
net (integer)
depth_mid (Depth, meters)
depth (m)
vol_filt (cubic meters (m^3))
species (text)
abund (number per cubic meters (n/1000 m^3))
phylum (text)
order (text)
family


[MOC10data_lengths] - Zooplankton length data from the 10m2 MOCNESS from R/V Endeavor, R/V Albatross IV,and R/V Oceanusbroadscale cruises in the Gulf of Maine and Georges Bank from 1995-1999 (GB project) (U.S. GLOBEC Georges Bank)

Zooplankton length data from the 10m2 MOCNESS from R/V Endeavor, R/V Albatross IV,and R/V Oceanusbroadscale cruises in the Gulf of Maine and Georges Bank from 1995-1999

cdm_data_type = Other
VARIABLES:
cruiseid
year
month_local
station_std
latitude (degrees_north)
longitude (degrees_east)
net
species
phylum
length (mm)


[MOCNESS Event Logs ETP] - Date, time, location, and depth range for MOCNESS tows from the R/V Seward Johnson, R/V Knorr in the Eastern Tropical North Pacific from 2007-10-25 to 2009-01-01 (Collaborative Research: Zooplankton in the Redoxcline of the Cariaco Basin: Impact on Biogeochemical Cycling)

Date, time, location, and depth range for MOCNESS tows

cdm_data_type = Other
VARIABLES:
cruise_id (unitless)
Station (unitless)
MOC (unitless)
Tow_Type (unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
Date_Local (unitless)
Date_UTC (unitless)
Time_In_Local (unitless)
Time_Out_Local (unitless)
Time_In_UTC (unitless)
Time_Out_UTC (unitless)
latitude (degrees_north)
longitude (degrees_east)
Lat_Out (Latitude, decimal degrees)
Lon_Out (Longitude, decimal degrees)
Day_Night (unitless)
Min_Depth (meters (m))
depth (Max Depth, m)
Comments (unitless)


[MOCNESS Event Logs Metabolic Index] - Date, time, location, and depth range for MOCNESS tows from R/V Oceanus in the Eastern Tropical Pacific, Tropical Eastern Pacific from 2016-04-17 to 2016-05-02 (Collaborative Research: A metabolic index to predict the consequences of climate change for midwater ecosystems)


[MOCNESS Zooplankton ID and Abundance] - MOCNESS Zooplankton data collected at the mid-Atlantic Bight Shelfbreak on R/V Neil Armstrong cruise AR29, R/V Ronald H. Brown cruise RB1904 and R/V Thomas G. Thompson cruise TN368 to the New England Shelfbreak in April 2018 and May/July2019 (Collaborative Research:  Shelfbreak Frontal Dynamics: Mechanisms of Upwelling, Net Community Production, and Ecological Implications)

As part of the Shelfbreak Productivity Interdisciplinary Research Operation at the Pioneer Array (SPIROPA) Project, zooplankton were sampled at selected stations and depths using a Multiple Opening/Closing Net and Environmental Sensing System (MOCNESS). Twelve stations were sampled on each of three research cruises (AR29 in April of 2018, RB19-04 in May 2019 and TN368 July of 2019) in the Middle Atlantic Bight shelfbreak. Samples were then transferred to one-liter jars and preserved in approximately 10% formalin:seawater solutions for later microscopic analyses ashore. At the shore-based laboratory, samples were drained through 64 µm-mesh sieves for removal of formalin:seawater and concentrated zooplankton were transferred to 70% ethanol for microscopic identification and enumeration.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
Date (unitless)
MOCNESS_Cast_No (unitless)
latitude (degrees_north)
longitude (degrees_east)
Mesh_size_microns (micrometer (µm))
Station (unitless)
depth (Depth_m, m)
Volume_Sampled_m3 (cubic meter (m3))
Split_Factor (unitless)
Taxa (unitless)
Count (unitless)
Taxa_Concentration_animals_m3 (animals/m3)
Comment (unknown)


[MOCNESS_biovols] - Plankton biovolume data from MOCNESS tows, 2001-2002 NBPalmer cruises NBP0103, NBP0104, NBP0202, NBP0204 from the Southern Ocean (SOGLOBEC project) (U.S. GLOBEC Southern Ocean)

This data set is derived from displacement volume measurements and dry weight conversion calculations of plankton samples collected by a MOCNESS-1 on the RV/N.B.Palmer cruises NBP0103, NBP0104, NBP0202, NBP0204 from the Southern Ocean in austral fall/winter of 2001 and 2002.

cdm_data_type = Other
VARIABLES:
cruiseid
year
tow
month_local
day_local
time_local (hhmm)
event
station
station_std
latitude (degrees_north)
longitude (degrees_east)
depth_w (Depth, meters)
region
net
depth_open (Depth, meters)
depth (m)
depth_mid (Depth, meters)
depth_interval (Depth, meters)
vol_filt (m3)
displ_vol (cm3/100m3)
displ_vol_integ (cm3/m2)
dry_wgt (mg/m3)
dry_wgt_integ (mg/m2)
dry_wgt_total (mg/m2)
comments


[Model-building biogeochemical data set from ASPIRE] - ASPIRE station data used to develop 1-D and 3-D numerical models from the Nathaniel B. Palmer in the Amundsen Sea from 2010-12-14 through 2011-01-05 (Collaborative Research: Investigating the Role of Mesoscale Processes and Ice Dynamics in Carbon and Iron Fluxes in a Changing Amundsen Sea (INSPIRE))

Hydrographic profiles and discrete water samples were collected from each station using a conventional shipboard conductivity-temperature-depth (CTD; Sea-Bird 911+) sensor and a 24 \u00d7 10 L Niskin bottle rosette sampler (General Oceanics). Potential temperature (\u03b8) and salinity (S) were recorded continuously as a function of depth and at the moment of Niskin bottle closure (see Yager et al., 2016).\r\n\r\nTrace-metal samples were collected similarly using a trace-metal-clean CTD-rosette system (see Sherrell et al., 2015) that was deployed at the same location just before or after the conventional CTD.

cdm_data_type = Other
VARIABLES:
Station (unitless)
latitude (degrees_north)
longitude (degrees_east)
LocalDate (Local Date, unitless)
depth (m)
Chla (Concentration Of Chlorophyll In Sea Water, miligram per meter cubed (mg m-3))
DissFe (Diss Fe, milimole per meter cubed (mmol m-3))
TotalDIN (Total DIN, milimole per meter cubed (mmol m-3))
PON (mmol m-3)


[mol percent - HPLC Method Glu and Phe 15N values] - N isotopic composition of Phenylalanine and Glutamic Acid from a number of organisms, demonstrating new HPLC protocol for precise isotopic measurements (The Use of Nitrogen Isotopes of Amino Acids To Understand Marine Sedimentary 15N Records)

N isotopic composition of Phenylalanine and Glutamic Acid from a number of organisms, demonstrating new HPLC protocol for precise isotopic measurements.

cdm_data_type = Other
VARIABLES:
sample_type (unitless)
amino_acid (unitless)
mol_pcnt_hplc (percent (%))
mol_pcnt_hplc_stdev (percent (%))
mol_pcnt_GCC (percent (%))
mol_pcnt_GCC_stdev (percent (%))


[Molecular identification of genetic variants of Neocalanus flemingeri] - Molecular identification of genetic variants of Neocalanus flemingeri in the Gulf of Alaska from samples collected from 2015 to 2023 (Collaborative Research: Zooplankton restarts in a high-latitude marine ecosystem: species-specific recruitment and development in early spring)

The subarctic Pacific is inhabit by three copepod congeners in the genus Neocalanus with an overlapping biogeographic range that includes the open ocean, marginal seas and fjord systems. Two distinct genetic variants of Neocalanus flemingeri have been reported from the western Pacific: the “small form” with an annual life cycle is found throughout the region, while the “large form” population with a 2-year life cycle is centered in the Sea of Okhotsk. Using a molecular approach, this study examined the genetic composition of N. flemingeri populations in the Gulf of Alaska from multiple stations over an eight-year period using existing nucleotide sequence data from RNA-Seq, Sanger sequencing and metabarcoding data. This is the first report for the occurrence of the large form in the eastern Pacific with a significant presence in fjord systems.

cdm_data_type = Other
VARIABLES:
Year (unitless)
Stage (unitless)
SRX (unitless)
Nf_Small (count)
Nf_Large (count)
Np (count)
Nc (count)
Cg (count)
Eb (count)
Mp (count)
BioProject (unitless)


[Montagna-783256-BenthosBiomass] - San Antonio Bay benthos species biomass and species richness before and after Hurricane Harvey, Feb. 2017 - July 2019 (RAPID: Capturing the Signature of Hurricane Harvey on Texas Coastal Lagoons)

The effects of Hurricane Harvey were studied. This dataset includes biomass, abundance, and species richness of identified benthic macrofauna from triplicate sediment core samples collected in San Antonio Bay, northwest Gulf of Mexico estuaries along the Texas coast. They were collected during eleven quarterly sampling trips on a small boat, Feb. 2017 - July 2019.

cdm_data_type = Other
VARIABLES:
Sta (unitless)
latitude (degrees_north)
longitude (degrees_east)
date_local (unitless)
replicate (unitless)
richness (species/core)
abundance (number/meter^2)
biomass (grams/meter^2)
log_abundance (log(number/meter^2+1))
log_biomass (log(grams/meter^2+1))


[Montagna-783256-BenthosSpecies] - San Antonio Bay benthos species abundance before and after Hurricane Harvey, Feb. 2017 - July 2019 (RAPID: Capturing the Signature of Hurricane Harvey on Texas Coastal Lagoons)

The effects of Hurricane Harvey were studied. This dataset includes abundance of identified benthic macrofauna from sediment core samples collected in San Antonio Bay, northwest Gulf of Mexico estuaries along the Texas coast. They were collected during eleven quarterly sampling trips on a small boat, Feb. 2017 - July 2019

cdm_data_type = Other
VARIABLES:
Sta (unitless)
latitude (degrees_north)
longitude (degrees_east)
date_local (unitless)
replicate (unitless)
SpName (Sp Name, unitless)
species_code (unitless)
count (number/core)
abundance (n/m²)


[Montagna-783256-Hydrography] - Effects of Hurricane Harvey in San Antonio Bay-Hydrography data, Feb. 2017 - July 2019 (RAPID: Capturing the Signature of Hurricane Harvey on Texas Coastal Lagoons)

The effects of Hurricane Harvey were studied. This dataset includes hydrographic measurements (temperature, salinity, oxygen, pH, refraction) from San Antonio Bay, northwest Gulf of Mexico estuaries along the Texas coast. They were taken during eleven quarterly sampling trips on a small boat, Feb. 2017 - July 2019.

cdm_data_type = Other
VARIABLES:
Sta (unitless)
latitude (degrees_north)
longitude (degrees_east)
date_local (unitless)
time_local (unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
REFRACT (brix)
depth (m)
TEMP (Temperature, degrees Celsius)
SAL (Practical Salinity Units)
DOPCT (unitless)
DO (milligrams/Liter)
PH (Sea Water Ph Reported On Total Scale, pH units)
SECCHI (meters)
Z (unitless)


[Montery Bay Time Series Data] - Samples collected from the Monterey Bay Times Series from May 2014 to February 2016. These data include CTD, nutrient, chlorophyll a and phaeopigment concentration data. (Differential contributions of archaeal ammonia oxidizer ecotypes in relation to their changing environment)

Samples collected from the Monterey Bay Times Series from May 2014 to February 2016. These data include CTD, nutrient, chlorophyll a and phaeopigment concentration data.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
Date (unitless)
Station (unitless)
Month_Day (unitless)
Year (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
Temperature (degrees Celcius (°C))
Salinity (Sea Water Practical Salinity, psu)
Density (unitless)
Pressure (decibar (dbar))
Light_Penetration_Depth (percentage (%))
Nit_rate_insitu (nanomoles per day (nM/d))
Nit_rate_dark (nanomoles per day (nM/d))
Chlorophyll (Concentration Of Chlorophyll In Sea Water, milligram per cubic meter (mg/m3))
Phaeopigments (milligram per cubic meter (mg/m3))
Chlorophyll_a (Concentration Of Chlorophyll In Sea Water, milligram per square meter (mg/m2))
Fluorescence (volts)
PO4 (Mass Concentration Of Phosphate In Sea Water, micromole (uM))
SiO4 (Si O4, micromole (uM))
NO3 (Mole Concentration Of Nitrate In Sea Water, micromole (uM))
NO2 (Mole Concentration Of Nitrite In Sea Water, micromole (uM))
NH4 (Mole Concentration Of Ammonium In Sea Water, micromole (uM))
Total_CO2 (millimoles per liter (mmol/L))
Oxygen (millimoles per liter (mmol/L))
... (6 more variables)


[Monthly Trapping] - Demographic data from introduced crab in Seadrift Lagoon 2009-2019 (RAPID: A rare opportunity to examine overcompensation resulting from intensive harvest of an introduced predator)

Demographic data from introduced crab in Seadrift Lagoon (Central California coast, shallow subtidal (<3 m depth)) in 2015.

cdm_data_type = Other
VARIABLES:
lagoon (unitless)
latitude (degrees_north)
longitude (degrees_east)
date (unitless)
site (unitless)
size (millimeters (mm))
sex (unitless)
gravid (unitless)
injury (unitless)
recap_mark (unitless)
species_code (unitless)
species (unitless)


[Moorea 2019 Acropora hyacinthus isotope data] - Acropora hyacinthus isotope data from coral samples collected at a north shore site in Mo’orea in May 2019 (RAPID: Collaborative Research: Studies of recovery from bleaching in Acropora hyacinthus: epigenetic shifts, impacts on reproductive biology and carry-over effects)

Heterotrophic feeding on plankton and particulate organic matter (POM) by tropical Scleractinian corals is known to aid in the resistance and recovery from thermally induced bleaching. However, the relative importance of heterotrophy in promoting bleaching resistance and recovery is likely to vary based on ecological context and the severity of heat stress. In 2019, the Pacific Island of Mo'orea experienced mass coral mortality during a widespread marine heatwave. Many Acropora hyacinthus colonies on the shallow reef slope (5 m) were resistant to bleaching, while colonies on the deeper fore reef (14 m) often bleached and subsequently recovered, despite similar thermal stress. The role of heterotrophy in this divergent bleaching response was investigated using fatty acid, isotopic, and elemental biomarkers. Multiple complementary lines of evidence, including feeding proxies, isotopic niche overlap, and putative POM fatty acid biomarkers, indicated that bleaching resistant colonies were likely consuming more POM than their bleached and recovered counterparts. Additionally, although visually recovered, host energetics in recovered colonies remained compromised and exhibited proportionally less mono- and polyunsaturated fatty acids and less relative nitrogen than resistant colonies. We show that corals that rely more on heterotrophic nutrient acquisition can better resist thermally induced bleaching. Our results also revealed the long-term energetic costs of bleaching even after visual recovery. Ultimately, these results underscore the vital role of coral nutrition in shaping coral bleaching response and recovery.

The dataset includes coral sample ids, tissue fraction type, sampling location, relative fatty acid abundances (C12.0–C22.6n3), total fatty acids per filter, isotope ratios of nitrogen (δ15N) and carbon (δ13C), coral depth, tagging month, bleaching status across three time points in 2019 (May, August, and October), colony surface area, and carbon-to-nitrogen ratio.

cdm_data_type = Other
VARIABLES:
coral (unitless)
fraction (unitless)
bleach_response (unitless)
location (unitless)
latitude (degrees_north)
longitude (Long, degrees_east)
... (38 more variables)


[Moorea lagoon bleaching] - Coral bleaching prevalence in the lagoon of Moorea during 2016 (CAREER: Fish-derived nutrients in a coral reef ecosystem - impacts on benthic communities and importance for coral restoration)

Coral bleaching prevalence in the lagoon of Moorea during 2016

cdm_data_type = Other
VARIABLES:
COUNTRY (unitless)
LOCATION (unitless)
SITE_NAME (unitless)
latitude (degrees_north)
longitude (degrees_east)
DAY (unitless)
MONTH (unitless)
YEAR (unitless)
DATE (unitless)
depth (m)
PERCENT_BLEACHED (percent)
MORTALITY_CODE (unitless)
PERCENT_MORTALITY (percent)
SURVEY_TYPE (unitless)
WATER_TEMPERATURE (Celsius)
TEMPERATURE_DEPTH (meters (m))


[mooring_ef] - Mooring data from the Eastern Flank Mooring (EF) on Georges Bank from 1998-1999 as part of the U.S. GLOBEC Georges Bank project (GB project) (U.S. GLOBEC Georges Bank)

Mooring data from the Eastern Flank Mooring (EF) on Georges Bank from 1998-1999 as part of the U.S. GLOBEC Georges Bank project (GB project)

cdm_data_type = Other
VARIABLES:
datatype
type_depth
depth (m)
latitude (degrees_north)
longitude (degrees_east)
year (unitless)
sampling_interval (seconds)
inst
mooring
inst_serial_numb
comments (n/a)
yrday_gmt (YYY.Y)
temp (Temperature, Deg. Centigrade)
cond (tbd)
sal
sigma_t (kg/m3-1000)
u (tbd)
v (tbd)
press (decibars)


[moorings_depth and pressure 2001] - Southern Ocean 2001 moorings: depth and pressure vs. time from ARSV Laurence M. Gould LMG0103, LMG0201A in the Southern Ocean from 2001-2002 (SOGLOBEC project) (U.S. GLOBEC Southern Ocean)

Southern Ocean 2001 moorings: depth and pressure vs. time from ARSV Laurence M. Gould LMG0103, LMG0201A in the Southern Ocean from 2001-2002.

cdm_data_type = Other
VARIABLES:
mooring
year_start
latitude (degrees_north)
longitude (degrees_east)
depth_w (Depth, meters)
rotangle (degrees)
depth (m)
yrday_gmt
julian_day
press (decibars)
year
month_gmt
day_gmt
hour_gmt (whole hours)
minute_gmt (whole minutes)


[moorings_GSC] - Great South Channel (Georges Bank) Mooring Data collected from January - August, 1997 for the U.S. GLOBEC Georges Bank project (GB project) (U.S. GLOBEC Georges Bank)

Great South Channel (Georges Bank) Mooring Data collected from January - August, 1997 for the U.S. GLOBEC Georges Bank project (GB project)

cdm_data_type = Other
VARIABLES:
site
mooring
sensor_type
depth (m)
latitude (degrees_north)
longitude (degrees_east)
year
month_gmt
day_gmt
time_gmt
bearing (degrees)
east (cm/sec)
north (cm/sec)
rotor (cm/sec)
temp (Temperature, degrees C)
sal (parts per thousand(ppt))
cond (siemens/meter)
sigma_0 (kg/m3)
vdir_1 (degrees)
vspd_1 (cm/sec)
press (decibars)
u_1 (cm/sec)
v_1 (cm/sec)


[Morphological data from reciprocal transplant experiment] - DRAFT: Summary of Morphological Data on Littorina obtusata from the Reciprocal Transplant Experiment (Local adaptation and the evolution of plasticity under predator invasion and warming seas: consequences for individuals, populations and communities)

The impact of invasive predators during the early stages of invasion is often variable in space and time. Such variation is expected to initially favor plasticity in prey defenses but fixed defenses as invaders become established. Coincident with the range expansion of the invasive green crab (Carcinus maenas) in the Gulf of Maine we document rapid changes in shell thickness – a key defense against shell crushing predators – of an intertidal snail (Littorina obtusata). These data summarize the results of reciprocal transplant experiments between snail (Littorina obtusata) populations in the northern and southern Gulf of Maine that were conducted 20 years apart. The results revealed that temporal shifts in snail shell thickness were driven by the evolution of increased trait means and erosion of thickness plasticity. The virtual elimination of the trade-off in snail tissue mass that often accompanies thicker shells is consistent with the evolution of fixed defenses under increasingly certain predation risk and are therefore consistent with the predicted impacts of spatiotemporal changes in green crab abundance throughout the Gulf of Maine.

cdm_data_type = Other
VARIABLES:
Year (unitless)
Population (unitless)
Location (unitless)
Risk_Treatment (unitless)
Replicate (unitless)
Initial_Shell_Thickness (millimeters (mm))
Initial_Shell_Length (millimeters (mm))
Initial_Shell_Mass (milligrams (mg))
Initial_Tissue_Mass (milligrams (mg))
Final_Shell_Thickness (millimeters (mm))
Final_Shell_Length (millimeters (mm))
Final_Shell_Mass (milligrams (mg))
Final_Tissue_Mass (milligrams (mg))


[Motility assays] - Results from motility assays carried out as part of a study investigating the role of soluble adenylyl cyclase (sAC) in sperm from the gonochoric, broadcast spawning coral Astrangia poculata (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress)

Most stony corals liberate their gametes into the water column via broadcast spawning, where fertilization hinges upon the activation of directional sperm motility. Sperm from gonochoric and hermaphroditic corals display distinct morphological and molecular phenotypes, yet it is unknown whether the signallng pathways controlling sperm motility are also distinct between these sexual systems. We addressed this knowledge gap using the gonochoric, broadcast spawning coral Astrangia poculata. This dataset results from motility assays carried out to analyze sperm motility. Data are associated with Glass et al. (2023) Proceedings of the Royal Society B (10.1098/rspb.2023.0085). These data are also published in Dryad under DOI 10.5061/dryad.rn8pk0pg8.

cdm_data_type = Other
VARIABLES:
Colony (unitless)
Medium (unitless)
Treatment (unitless)
Stim (unitless)
Prct_motile (unitless (percent))


[MRP sediments with pretreatment] - Molybdate reactive phosphorus concentrations in NMR pretreatment extracts from sediment samples collected during cruises in the Arctic Ocean, California Margin, and Equatorial Pacific from 1992-1998 (A new marine sediment sample preparation scheme for  solution 31P NMR analysis)

Molybdate reactive phosphorus concentrations in nuclear magnetic resonance (NMR) pretreatment extracts from sediment samples collected during cruises in the Arctic Ocean, California Margin, and Equatorial Pacific from 1992-1998.

cdm_data_type = Other
VARIABLES:
Extract (unitless)
Step (unitless)
Dilution (unitless)
Date (unitless)
Sample_ID (unitless)
Analyte_Name (unitless)
Peak_Concentration (micromolar (uM))
blank_corrected (unitless)
Actual_PO4 (Mass Concentration Of Phosphate In Sea Water, micromolar (uM))
P_extracted (micromoles (umol))
Sed_mass (grams (g))
PO4 (Mass Concentration Of Phosphate In Sea Water, micromoles per gram (umol/g))
Peak_Area (volts)
Peak_Height (volts)


[MRP sediments with pretreatment] - Molybdate reactive phosphorus concentrations in NMR pretreatment extracts from sediment samples collected during R/V JOIDES Resolution cruise JRES-336 (IODP336, North Pond) to the western flank of the mid-Atlantic Ridge in November of 2011 (Potential phosphorus uptake mechanisms of the deep sedimentary biosphere)

Molybdate reactive phosphorus concentrations in nuclear magnetic resonance (NMR) pretreatment extracts from sediment samples collected during R/V JOIDES Resolution cruise JRES-336 (IODP336, North Pond) to the western flank of the mid-Atlantic Ridge in November of 2011.  Samples were analyzed in 2016.

cdm_data_type = Other
VARIABLES:
Extract (unitless)
Step (unitless)
Dilution (unitless)
Date (unitless)
Sample_ID (unitless)
Analyte_Name (unitless)
Peak_Concentration (micromolar (uM))
Peak_Area (volts)
Peak_Height (volts)
Blank_corrected (unitless)
Actual_PO4 (Mass Concentration Of Phosphate In Sea Water, micromolar (uM))
P_extracted (micromoles (umol))
Sed_mass (grams (g))
PO4 (Mass Concentration Of Phosphate In Sea Water, micromoles per gram (umol/g))


[Multi-core Arctic sediment data] - Sediment geochemical and microbial activity data collected on R/V Oden along the East Siberian Arctic Shelf from 2014 (ESAS Water Column Methane project) (The East Siberian Arctic Shelf as a Source of Atmospheric Methane: First Approach to Quantitative Assessment)

Sediment geochemical and microbial activity data collected on R/V Oden along the East Siberian Arctic Shelf from 2014 (ESAS Water Column Methane project)

cdm_data_type = Other
VARIABLES:
year (unitless)
month (unitless)
collection_type (unitless)
station (unitless)
latitude (degrees_north)
longitude (degrees_east)
sample_ID (unitless)
sediment_depth (centimeters)
sed_CH4 (microns (uM))
AOM_rate (picomole per centimeter per day (pmol/cm/day))
turnover_14_CH3COO_MOG (Turnover 14 CH3 COO MOG, percent)
turnover_H14_CO3_MOG (percent)
turnover_SRR (percent)


[Multitracers Biogenic Concentration Data] - Organic carbon, carbonate, and opal data from Multitracers sediment trap samples (Multitracers to Predict Paleoproductivity in the California Current System from Sediment and Sediment Trap Materials)

This dataset includes organic carbon, carbonate, and opal concentrations from Multitracers sediment trap samples.

cdm_data_type = Other
VARIABLES:
Sample_ID (unitless)
Sample_Description (unitless)
Mooring_ID (unitless)
Sample_Type (unitless)
Latitude (degrees_north)
longitude (degrees_east)
Water_Depth (meters (m))
depth (Trap_depth, m)
Cup_num (unitless)
Date_Cup_Opened (unitless)
Days_Cup_Open (days)
Cup_vol (milliliters (ml))
Area (square meters (m2))
Wt_in_cup (grams (g))
Wt_Fract (unitless)
Chlorine (percent (%))
Salt (percent (%))
Total_Flux_mg_cm2_y (milligrams per square centimeter per year (mg/cm2/y))
Total_Flux_mg_m2_d (milligrams per square meter per day (mg/m2/d))
Corg (percent (%))
OM (percent (%))
Ccarb (percent (%))
CaCO3 (percent (%))
Biogenic_SiO2 (percent (%))
Corg_Flux (milligrams per square meter per day (mg/m2/d))
OM_flux (milligrams per square meter per day (mg/m2/d))
Ccarb_flux (milligrams per square meter per day (mg/m2/d))
CaCO3_flux (milligrams per square meter per day (mg/m2/d))
Biogenic_SiO2_flux (milligrams per square meter per day (mg/m2/d))


[Multitracers Metal Concentration Data] - Major (Al), minor (Mn, Ba), and trace metal (Cd, Ag, Mo) data from Multitracers sediment trap samples (A Sediment Trap Study to Determine if the Flux of Silver to the Seafloor is Related to Export Productivity)

This dataset includes major (Al), minor (Mn, Ba), and trace metal (Cd, Ag, Mo) concentrations from Multitracers sediment trap samples.

cdm_data_type = Other
VARIABLES:
Sample_ID (unitless)
Sample_Description (unitless)
Mooring_ID (unitless)
Sample_Type (unitless)
Latitude (degrees_north)
longitude (degrees_east)
Water_Depth (meters (m))
depth (Trap_depth, m)
Cup_num (unitless)
Date_Cup_Opened (unitless)
Days_Cup_Open (days)
Cup_vol (milliliters (ml))
Area (square meters (m2))
Wt_in_cup (grams (g))
Wt_Fract (unitless)
Total_Flux_mg_cm2_y (milligrams per square centimeter per year (mg/cm2/y))
Total_Flux_mg_m2_d (milligrams per square meter per day (mg/m2/d))
Al (wt percent)
Ti (wt percent)
Ba (micrograms per gram (ug/g))
Mn (micrograms per gram (ug/g))
Mo (micrograms per gram (ug/g))
Ag (micrograms per gram (ug/g))
Cd (micrograms per gram (ug/g))
Total_Al_flux (milligrams per square meter per day (mg/m2/d))
Total_Ti_flux (milligrams per square meter per day (mg/m2/d))
... (10 more variables)


[Multiyear RNA-Seq of Neocalanus flemingeri stages CV and Adult Female] - Multiyear RNA-Seq of Neocalanus flemingeri stages CV and Adult Female from the R/V Tiglax and R/V Sikuliaq in the Northern Gulf of Alaska from 2015-2022 (Collaborative Proposal: Optimizing Recruitment of Neocalanus copepods through Strategic Timing of Reproduction and Growth in the Gulf of Alaska)

High-throughput sequencing study of field-collected Neocalanus flemingeri pre-adults (stage CV) and adult females between 2015 and 2022. Dataset includes information and accession numbers of the raw sequence reads. Zooplankton collections were made in the northern Gulf of Alaska in collaboration with the Seward Long-term Monitoring Program and the northern Gulf of Alaska Long-term Ecological Research Program (LTER). Pre-adults were collected during the spring from multiple stations, sorted from net collections and immediately preserved. Adult females were collected mostly from Prince William Sound, but also on one occasion from the Gulf of Alaska. Adult females were collected from depth during diapause and preserved upon net retrieval.  In addition, time series data were generated in three different years to characterize the post-diapause period through the spawning phase. The purpose of the data collection is to generate gene expression profiles during different years and seasons to evaluate developmental stage and physiological state.

cdm_data_type = Other
VARIABLES:
Experiment_Accession (unitless)
Experiment_Title (unitless)
Organism_Name (unitless)
Station (unitless)
latitude (degrees_north)
longitude (degrees_east)
Depth_Range (meters (m))
Date (unitless)
Year (unitless)
Month (unitless)
Day (unitless)
Life_Stage (unitless)
Sex (unitless)
BioProject (unitless)
BioSample (unitless)
Sample_Accession (unitless)
SRA_Run_Accession (unitless)
Study_Accession (unitless)
Study_Title (unitless)