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https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_934706_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_934706_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_934706_v1/ public [AE1913 Protein Spectral Counts] - Scaffold-derived metaproteomic exclusive and total spectral counts associated with proteins from samples taken during R/V Atlantic Explorer cruise AE1913 from the Sargasso Sea to Northeast US shelf waters in June of 2019 (Collaborative Research: Direct Characterization of Adaptive Nutrient Stress Responses in the Sargasso Sea using Protein Biomarkers and a Biogeochemical AUV) These are the Scaffold-derived metaproteomic exclusive and total spectral counts associated with proteins.  Samples were taken during R/V Atlantic Explorer cruise AE1913 in Subtropical North Atlantic, beginning at the Bermuda Atlantic Time-series Station (BATS) of the Sargasso Sea  and ending in coastal Northeast US shelf waters in June of 2019.\n\ncdm_data_type = Other\nVARIABLES:\nrow_id (unitless)\nprotein_id (unitless)\nkegg_id (unitless)\nenzyme_comm_id (unitless)\nprotein_name (unitless)\npfams_id (unitless)\nsupergroup (unitless)\nclassification (unitless)\nsample_id (unitless)\nspectral_count (unitless)\ncruise_id (unitless)\nstation_id (unitless)\ndepth (Depth_m, m)\nminimum_filter_size_microns (microns (um))\nmaximum_filter_size_microns (microns (um))\ndate_y_m_d (unitless)\nlatitude (Latitude_dd, degrees_north)\nlongitude (Longitude_dd, degrees_east)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_934706_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_934706_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_934706_v1/index.htmlTable https://www.bco-dmo.org/dataset/934706 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_934706_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_934706_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_934706_v1
log in [AMT-30 iodine: depth profiles] - Iodine depth profile data collected from RRS Discovery cruise AMT-30 from February 23 - March 27th, 2023 (Collaborative Research: Experimental constraints on the rates and mechanisms of iodine redox transformations in seawater) This dataset includes the depth profile data described in the following study abstract (see \"Related Datasets\" for more data from this study):\n\nThe oxidized iodine species, iodate, is abundant in well-oxygenated marine waters and can be tracked in sediments to reconstruct ancient oxygen availability. Despite known modern marine spatial variations in both iodate and reduced iodide, the rates, pathways, and locations of iodate formation remain poorly understood for temporal gradients across Earth history. To quantify rates and pathways of iodate formation across an ocean basin, we performed ship-board tracer experiments in euphotic waters with known gradients in iodine speciation on an Atlantic Meridional Transect (45°S and 37°N). We performed incubations at depths corresponding to 7% and 1% of ambient surface light levels, thus tracking the boundaries of the deep chlorophyl maximum (DCM), from 11 stations along the transect. All incubations were spiked with a 129I (t1/2 ~15.7 My) tracer and mimicked ambient conditions. We observed iodate production via multiple pathways. The most common observation was a lack of significant iodate production, with iodate production limited to 7 of the 22 locations and nearly exclusively observed at the DCM and outside the nitrogen and iron limited South Atlantic Gyre. Iodate formation from direct iodide oxidation is inferred in only two locations based on increases in iodate 129I/127I ratios. At the other locations, decreases in iodate 129I/127I ratios imply that rapid reactions with and overturning of alternative natural iodine pools, likely iodine intermediates, are an important factor for iodate production. Our work emphasizes that the rates and pathways of iodate production are spatially heterogenous in the Atlantic Ocean. Future work is needed to determine the drivers, temporal variations, and trends within global ocean basins.\n\ncdm_data_type = Other\nVARIABLES:\nsample_ID (unitless)\nstation_number (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate_Collected_AST (unitless)\nTime_Collected_AST (unitless)\n... (6 more variables)\n BCO-DMO bcodmo_dataset_970242_v1
log in [AMT-30 iodine: incubations] - Iodine incubation data collected from RRS Discovery cruise AMT-30 during February 23 - March 27th, 2023 (Collaborative Research: Experimental constraints on the rates and mechanisms of iodine redox transformations in seawater) This dataset includes the incubation data described in the following study abstract (see \"Related Datasets\" for more data from this study):\n\nThe oxidized iodine species, iodate, is abundant in well-oxygenated marine waters and can be tracked in sediments to reconstruct ancient oxygen availability. Despite known modern marine spatial variations in both iodate and reduced iodide, the rates, pathways, and locations of iodate formation remain poorly understood for temporal gradients across Earth history. To quantify rates and pathways of iodate formation across an ocean basin, we performed ship-board tracer experiments in euphotic waters with known gradients in iodine speciation on an Atlantic Meridional Transect (45°S and 37°N). We performed incubations at depths corresponding to 7% and 1% of ambient surface light levels, thus tracking the boundaries of the deep chlorophyl maximum (DCM), from 11 stations along the transect. All incubations were spiked with a 129I (t1/2 ~15.7 My) tracer and mimicked ambient conditions. We observed iodate production via multiple pathways. The most common observation was a lack of significant iodate production, with iodate production limited to 7 of the 22 locations and nearly exclusively observed at the DCM and outside the nitrogen and iron limited South Atlantic Gyre. Iodate formation from direct iodide oxidation is inferred in only two locations based on increases in iodate 129I/127I ratios. At the other locations, decreases in iodate 129I/127I ratios imply that rapid reactions with and overturning of alternative natural iodine pools, likely iodine intermediates, are an important factor for iodate production. Our work emphasizes that the rates and pathways of iodate production are spatially heterogenous in the Atlantic Ocean. Future work is needed to determine the drivers, temporal variations, and trends within global ocean basins.\n\ncdm_data_type = Other\nVARIABLES:\nsample_ID (unitless)\nstation_number (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nlight_percent (percent (%))\nincubation_time (unitless)\n... (13 more variables)\n BCO-DMO bcodmo_dataset_970249_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_956540_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_956540_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_956540_v1/ public [BAIT phytoplankton element quotas] - Element quotas of individual phytoplankton cells from four Bermuda Atlantic Iron Time-Series (BAIT) cruises in 2019 (NSFGEO-NERC: Collaborative Research: Using Time-series Field Observations to Constrain an Ocean Iron Model) Individual phytoplankton cells were collected on four cruises (March, May, August, and November 2019) as part of the Bermuda Atlantic Iron Time-Series (BAIT) Project. The elemental (Si, P, S, Mn, Fe, Co, Ni, Cu, Zn) content of each cell was measured with synchrotron x-ray fluorescence (SXRF). Carbon was calculated from biovolume. These data can be used to assess biogenic particulate metal fraction, as well as changes in the accumulation of these elements across seasons.\n\ncdm_data_type = Other\nVARIABLES:\naps_run (unitless)\nMDA (unitless)\nCruise (unitless)\nStation (unitless)\ndepth (Depth_m, m)\nDepth (unitless)\nVol (cubic micrometers (um3))\ncellC_mol (moles (mol))\nlog_Si_C (micromoles per mole (umol/mol))\nlog_Fe_C (micromoles per mole (umol/mol))\nlog_Cu_C (micromoles per mole (umol/mol))\nlog_Zn_C (micromoles per mole (umol/mol))\nlog_P_C (micromoles per mole (umol/mol))\nlog_S_C (micromoles per mole (umol/mol))\nlog_Mn_C (micromoles per mole (umol/mol))\nlog_Co_C (micromoles per mole (umol/mol))\nlog_Ni_C (micromoles per mole (umol/mol))\nlog_C_P (moles per mole (mol/mol))\nflag_C_P (unitless)\nflag_Fe_C (unitless)\nflag_Zn_C (unitless)\nflag_Mn_C (unitless)\nflag_Ni_C (unitless)\n... (5 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_956540_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/956540 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_956540_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_956540_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_956540_v1
log in [Deep-DOM Metaproteome] - Sample information for metaproteomic samples taken from Station 2 from R/V Knorr KN210-04 in the Western Atlantic Ocean between Uruguay and Barbados from March 2013 (Dissolved Organic Matter Composition in the Deep Atlantic Ocean) This dataset includes metadata from metaproteomic samples collected at Station 2 during the R/V Knorr Cruise KN210-04 in the Western Atlantic Ocean between Uruguay and Barbados in 2013. The accompanying total spectral counts for proteins and peptides from these samples are available on the PRoteomics IDEentifications Database (PRIDE) under Project PXD034035.\n\ncdm_data_type = Other\nVARIABLES:\nsample_id (unitless)\nms_ms_sample_name (unitless)\nstation_id (unitless)\ndepth (Depth_m, m)\nlatitude_dd (degrees_north)\nlongitude (Longitude_dd, degrees_east)\ndate_ISO (unitless)\ntime_h_m_s (unitless)\nminimum_filter_size_microns (microns)\nmaximum_filter_size_microns (microns)\ncruise_id (unitless)\nevent_number (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n BCO-DMO bcodmo_dataset_875622_v1
log in [Dilution experiment treatments and Chl data] - Shipboard Plankton Dilution Experiment Chlorophyll collected at the mid-Atlantic Bight Shelfbreak on R/V Neil Armstrong AR29, R/V Ronald H. Brown RB1904 and R/V Thomas G. Thompson TN368 to the New England Shelfbreak in April 2018 and and May/July 2019 (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, twelve grazing experiments utilizing the two-point dilution technique were conducted during each of three research cruises (April of 2018, and May and July of 2019) in the Middle Atlantic Bight to estimate microzooplankton grazing rates and net phytoplankton growth rates. Stations where the dilution experiments were conducted were strategically located in one of three key cross-shelf water mass regimes: (1) at the shelfbreak front, (2) inshore of the front in continental shelf water and (3) offshore of the front in slope water. Grazing incubations were performed on water sampled from the chlorophyll maximum, when present, and conducted on the <200 µm fraction of water (what passed through a 200 µm sieve) in order to include only the microzooplankton grazers and avoid trophic cascades associated with mesozooplankton predators and grazers. The 2 dilution points were 10% and 100% of the < 200 µm sample water. All experiments were run in triplicate for 24 hours and consisted of a dark treatment incubation and a light treatment incubation at a simulated 30% E0.\n\ncdm_data_type = Other\nVARIABLES:\nCRUISE (unitless)\nEXPERIMENT (unitless)\nSTATION (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSAMPLE_ID (unitless)\nWATER_MASS (unitless)\ndepth (Depth_m, m)\nDATE (unitless)\nCHLA (µg/L)\nPHEO (µg/L)\nPERC_Chla (%)\nMEAN_Chla (µg/L)\nSD (µg/L)\nSE (µg/L)\nNOTES (units)\nSample_Code (unitless)\n BCO-DMO bcodmo_dataset_961794_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926873_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926873_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_926873_v1/ public [Dissolved Mercury Speciation in the California Current System] - Dissolved mercury (Hg) speciation in the California Current System from samples collected on R/V Roger Revelle cruise RR2105 in July to August 2021 (California Current Ecosystem Long Term Ecological Research site) Monomethylmercury (MMHg) is a neurotoxicant that biomagnifies in marine food webs, reaching high concentrations in apex predators. To predict changes in oceanic MMHg concentrations, it is important to quantify its sources and sinks. Here, we study mercury speciation in the California Current System through cruise sampling and modeling. Previous work in the California Current System has found that upwelling impacts mercury biogeochemistry by transporting mercury-enriched deep waters to productive surface waters. These upwelled waters originate within the California Undercurrent water mass and are subsequently advected as a surface water parcel to the California Current. By comparing the two major water masses, we find that the California Undercurrent contains elevated dissolved total mercury (Hg) and Dimethylmercury (DMHg) concentrations by 57% and 60%, respectively, compared to the California Current. We explain that these differences result from losses during advection, specifically scavenging and DMHg demethylation. We calculate a net DMHg demethylation rate constant of 1.8 ± 0.9% per day; and build an empirically constrained mass budget model to demonstrate that DMHg demethylation accounts for 59% of surface MMHg sources. These findings illustrate that DMHg is a significant source of MMHg in this region, challenging the current understanding of the major sources of marine MMHg. These data are associated with Adams et al., 2024 (doi: 10.21203/rs.3.rs-3909481/v1).\n\ncdm_data_type = Other\nVARIABLES:\nWater_Mass (unitless)\nStation_Name (unitless)\nISO_DateTime_PDT (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLatitude (degrees_north)\nlongitude (degrees_east)\nTrace_Metal_Cast_Num (unitless)\ndepth (Depth_m, m)\nTemperature_C (degrees Celsius)\nSalinity_PSU (practical salinity units (PSU))\nOxygen_umol_kg (micromole per kilogram (umol/kg))\nDensity_kg_m3 (kilogram per cubed meter (kg/m^3))\n... (8 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_926873_v1/index.htmlTable https://www.bco-dmo.org/dataset/926873 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_926873_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_926873_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_926873_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923065_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923065_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_923065_v1/ public [Dissolved organic Fe-binding ligand data from the FRidge (GA13) expedition] - Dissolved organic Fe-binding ligand data from the FRidge (GA13) expedition on RRS James Cook (cruise JC156) from December 2017 to February 2018 (Are strong ligands and dissolved iron tightly coupled in hydrothermal systems?) Samples were collected as part of the 2017-2018 U.K. GEOTRACES GA13 section cruise along the Mid-Atlantic Ridge (Cruise JC156 on RRS James Cook). Water samples from 11 venting and near venting locations were collected using a Seabird 911 conductivity, temperature, and depth (CTD) titanium rosette using conducting Kevlar wire with an oxidation-reduction potential (ORP) sensor to detect plumes. Teflon coated OTE (Ocean Test Equipment) bottles were pressurized to approximately 7 psi with 0.2 μm filtered air using an oil-free compressor. A Sartobran 300 (Sartorius) filter capsule (0.2 μm) was used to collect filtered seawater samples into clean 250 mL LDPE sample bottles. Bottles and caps were rinsed 3 times with the filtered sample before being filled. Samples were stored frozen at -20°C for organic iron-binding ligand characterization by voltammetry using competitive ligand exchange adsorptive cathodic stripping voltammetry. All dissolved organic iron-binding ligand samples were measured with a BASi controlled growth mercury electrode with an Ag/AgCl¬- reference electrode and platinum auxiliary electrode (Bioanalytical Systems Incorporated) using previously established methods for forward titrations (Buck et al., 2015, 2018; Bundy et al., 2018; Abualhaija and van den Berg, 2014; Hawkes et al., 2013 (Planet. Sci. Lett.)). Reverse titrations (Hawkes et al., 2013 (Anal. Chim. Acta)) were completed on 10 samples from Broken Spur, and TAG hydrothermal vent fields with dissolved iron concentrations between 19.01-90.25 nM.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nlatitude (Latitude_deg_n, degrees_north)\nlongitude (Longitude_deg_e, degrees_east)\nStation (unitless)\nGeotraces_ID (unitless)\ndepth (Depth_m, m)\ndFe_nM (nanomoles per liter (nmol L-1))\nL1_nM (nanomoles per liter (nmol L-1))\nL1_err_nM (nanomoles per liter (nmol L-1))\nL2_nM (nanomoles per liter (nmol L-1))\nL2_err_nM (nanomoles per liter (nmol L-1))\nL3_nM (nanomoles per liter (nmol L-1))\n... (9 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_923065_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_923065_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_923065_v1/index.htmlTable https://www.bco-dmo.org/dataset/923065 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_923065_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_923065_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_923065_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_885506_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_885506_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_885506_v2/ public [Distribution of dissolved barium in seawater determined using machine learning] - A spatially and vertically resolved global grid of dissolved barium concentrations in seawater determined using Gaussian Process Regression machine learning (The Speed, Signature, and Significance of Barium Transformations in Seawater) We present a spatially and vertically resolved global grid of dissolved barium concentrations ([Ba]) in seawater determined using Gaussian Process Regression machine learning. This model was trained using 4,345 quality-controlled GEOTRACES data from the Arctic, Atlantic, Pacific, and Southern Oceans. Model output was validated by assessing the accuracy of [Ba] simulations in the Indian Ocean, noting that none of the Indian Ocean data were seen by the model during training. We identify a model that can accurate predict [Ba] in the Indian Ocean using seven features: depth, temperature, salinity, as well as dissolved dioxygen, phosphate, nitrate, and silicate concentrations. This model achieves a mean absolute percentage error of 6.0 %, which we assume represents the generalization error. This model was used to simulate [Ba] on a global basis using predictor data from the World Ocean Atlas 2018. The global model of [Ba] is on a 1°x 1° grid with 102 depth levels from 0 to 5,500 m. The dissolved [Ba] output was then used to simulate dissolved Ba* (barium-star), which is the difference between 'observed' and [Ba] predicted from co-located [Si]. Lastly, [Ba] data were combined with temperature, salinity, and pressure data from the World Ocean Atlas to calculate the saturation state of seawater with respect to barite. The model reveals that the volume-weighted mean oceanic [Ba] and and saturation state are 89 nmol/kg and 0.82, respectively. These results imply that the total marine Ba inventory is 122(±7) ×10¹² mol and that the ocean below 1,000 m is at barite equilibrium.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nlongitude (Longitude_degreese, degrees_east)\nlatitude (Latitude_degreesn, degrees_north)\nDepth_m (meters (m))\ndBa_nmol_kg (nanomoles per kilogram (nmol/kg))\nomega_Ba (unitless)\nBa_star_nmol_kg (nanomoles per kilogram (nmol/kg))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_885506_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_885506_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_885506_v2/index.htmlTable https://www.bco-dmo.org/dataset/885506 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_885506_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_885506_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_885506_v2
log in [Grazing experiment phytoplankton] - Shipboard grazing experiment phytoplankton data from 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 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, twelve grazing experiments were conducted during each of three research cruises (April of 2018, and May and July of 2019) in the Middle Atlantic Bight to estimate community zooplankton grazing and net phytoplankton growth rates. Stations where the experiments were conducted were strategically located in one of three key cross-shelf water mass regimes: (1) at the shelfbreak front, (2) inshore of the front in continental shelf water and (3) offshore of the front in slope water. Grazing incubations were performed on water sampled from the chlorophyll maximum, when present. The experiments included two \"treatments\": 1. whole water incubations and incubations on the <200 µm fraction of the plankton commuinity.  All experiments were run in triplicate for 24 hours in flow-thru deck incubators and consisted of a dark treatment incubation and a light treatment incubation at a simulated 30% E0.\n\ncdm_data_type = Other\nVARIABLES:\nExp_and_count_no (unitless)\nSample_ID_Number (unitless)\nSample_ID (unitless)\nCruise (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nExperiment_No (unitless)\nDate_Collected (unitless)\nStation (unitless)\nDepth_M (meters)\nWater_Mass_Region (unitless)\nMicro_or_WW (unitless)\nTreatment_Replicate (unitless)\nDate_time_start (unitless)\nDate_time_stop (unitless)\ndelta_t_day (day)\nOriginal_Volume_L (Liters)\n... (6 more variables)\n BCO-DMO bcodmo_dataset_961570_v1
log in [Grazing experiment zooplankton] - Shipboard grazing experiment zooplankton data from 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 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, twelve grazing experiments were conducted during each of three research cruises (April of 2018, and May and July of 2019) in the Middle Atlantic Bight to estimate community zooplankton grazing and net phytoplankton growth rates. Stations where the experiments were conducted were strategically located in one of three key cross-shelf water mass regimes: (1) at the shelfbreak front, (2) inshore of the front in continental shelf water and (3) offshore of the front in slope water. Grazing incubations were performed on water sampled from the chlorophyll maximum, when present. The experiments included two \"treatments\": 1. whole water incubations and incubations on the <200 µm fraction of the plankton communinity.  All experiments were run in triplicate for 24 hours in flow-thru deck incubators and consisted of a dark treatment incubation and a light treatment incubation at a simulated 30% E0.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate_Collected (unitless)\nStation (unitless)\nDepth_M (meters)\nWater_Mass_Region (unitless)\nDate_time_start (unitless)\nDate_time_stop (unitless)\ndelta_t_day (day)\nExperiment_No (unitless)\nTreatment (unitless)\nReplicate (unitless)\ncopepod_nauplii (animals/cubic meter)\nOithona_copepodite (animals/cubic meter)\ncalanoid_copepodite (animals/cubic meter)\nAcartia_female (animals/cubic meter)\n... (34 more variables)\n BCO-DMO bcodmo_dataset_957833_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_920443_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_920443_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_920443_v1/ public [In-situ pump chemical data] - Chemical analyses of size-fractionated particle samples collected during the BIOS-SCOPE cruise AE1819 in the Sargasso Sea in July 2018 (Bermuda Institute of Ocean Sciences Simons Collaboration on Ocean Processes and Ecology) Included in this dataset are chemical analyses of size-fractionated particle samples collected during BIOS-SCOPE project cruises in the Sargasso Sea starting in 2018. Samples were collected using McLane WTS-LV in-situ pumps and analyzed for phytol concentration, bulk particulate organic carbon (POC), stable carbon isotope composition, and nitrogen and carbon isotope composition of amino acids.\n\ncdm_data_type = Other\nVARIABLES:\nSample (unitless)\nCruise (unitless)\nDate (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nsize_fraction_um (micrometers (um))\nsplit_type (unitless)\ndepth (Depth_m, m)\ntotal_phytol_from_chlorophyll_concentration_ng_L (nanograms per liter (ng/L))\nphytol_concentration_sd_ng_L (nanograms per liter (ng/L))\nd13C_phytol_corrected_value_per_mil (per mil)\nd13C_phytol_sd_per_mil (per mil)\nd13C_POC_per_mil (per mil)\nd13C_POC_sd_per_mil (per mil)\nPOC_concentration_ug_L (micrograms per liter (ug/L))\nd13C_THAA_per_mil (per mil)\nd13C_THAA_sd_per_mil (per mil)\nTP_from_d15N_AA (unitless)\nTP_sd (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_920443_v1/index.htmlTable https://www.bco-dmo.org/dataset/920443 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_920443_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_920443_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_920443_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_930163_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_930163_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_930163_v1/ public [Kāneʻohe Bay Time-series - phytoplankton and biogeochemistry] - Biological oceanographic measurements, 16S rRNA gene amplicons and metagenomes from surface seawater taken from August 2017 to June 2021 at sites within and adjacent to Kāneʻohe Bay, Oʻahu, Hawaiʻi (Population genomics and ecotypic divergence in the most dominant lineage of marine bacteria) These data include temperature, pH, salinity, chlorophyll a concentrations, cellular abundances of Prochlorococcus, Synechococcus, photosynthetic picoeukaryotes, and heterotrophic bacteria,16S ribosomal RNA gene amplicon libraries, metagenomes, inorganic nutrient concentrations, and photosynthetic pigment measurements via high performance liquid chromatography from surface seawater samples collected as part of the Kāneʻohe Bay Time-series (KByT). This dataset reflects near-monthly sampling of surface seawater that was conducted between between August 2017 and June 2021 at 10-12 sites within and adjacent to Kāneʻohe Bay, Oʻahu, Hawaiʻi. Instruments used were a YSI 6,600 sonde, a ProDSS multi-parameter sonde, a Turner 10AU fluorometer, a Beckman Coulter CytoFLEX S flow cytometer, a Seal Analytical AA3 HR Nutrient Autoanalyzer, an Illumina MiSeq v2 platform, and the Illumina NovaSeq 6000.\n\nThese data reveal a remarkably persistent transition in surface ocean biogeochemistry, phytoplankton biomass, and phytoplankton community structure, despite high water exchange and define surface ocean biogeochemical and phytoplankton regimes over space and time across nearshore to offshore waters in the tropical Pacific. These results provide insight into drivers of seasonal and spatial variability of phytoplankton communities. Data were collected and analyzed by Sarah J. Tucker, Yoshimi M. Rii, Kelle C. Freel, Keliʻiahonui Kotubetey, A. Hiʻilei Kawelo, and Kawika B. Winter, Michael S. Rappé.\n\ncdm_data_type = Other\nVARIABLES:\nSampleID (unitless)\nUniversal_Sample_ID (unitless)\nMetagenome (unitless)\nMetagenome_ID (unitless)\nYear (unitless)\nSampling_Order (unitless)\nSeason (unitless)\nMonth (unitless)\nMonth_abb (unitless)\nTime (hh:mm)\n... (68 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_930163_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_930163_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_930163_v1/index.htmlTable https://www.bco-dmo.org/dataset/930163 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_930163_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_930163_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_930163_v1
log in [Little Cayman Vertical Temp Data] -  (NSF-BSF: Assessing the mechanisms of molecular and morphological adaptation by corals to extreme environments) Coral reefs are increasingly threatened by marine heatwaves, which drive widespread coral bleaching and mortality. Mesophotic coral ecosystems (MCEs) have been proposed as potential thermal refuges due to their greater depth and relative isolation from surface temperature extremes. Yet their resilience to extreme heat events remains uncertain, with location specific conclusions, thus requiring further studies. Here, we investigate the effects of the 2023 marine heatwave in the Cayman Islands, which resulted in prolonged sea surface temperatures exceeding 31°C and 17.5 DHW with extensive bleaching across shallow coral reefs. \n\nUtilizing vertical transect surveys from 10m to 50m, we assessed depth-related variations in bleaching prevalence and temperature profiles. Our results indicate a significant decline in bleaching with increasing depth, with a concurrent reduction in temperature. Depth-generalist species exhibited reduced bleaching at greater depths, whereas shallow-water specialists displayed severe bleaching. These findings suggest that while MCEs may provide thermal refuge for some species, their capacity to buffer against climate-driven reef degradation is species-specific. Given the increasing frequency and intensity of marine heatwaves, understanding the role of deeper reef habitats in mitigating coral loss is critical for informing conservation and management strategies. \n\nOur study underscores the importance of protecting MCEs as potential thermal refuges while emphasizing the need for continued research on species-specific thermal resilience with depth. Within this dataset, we present the temperature data measured during each survey across depth.\n\ncdm_data_type = Other\nVARIABLES:\nsite (unitless)\ndepth_f (Depth_ft, feet (ft))\ndepth (Depth_m, m)\nTemp (degrees Celsius (C))\nlatitude (Site_latitude, degrees_north)\nlongitude (Site_longitude, degrees_east)\n BCO-DMO bcodmo_dataset_964602_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_932975_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_932975_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_932975_v1/ public [Megafauna counts by taxon in image surveys at inactive sulfides on the East Pacific Rise] - Megafauna counts by taxon in images collected during three surveys (December 25, 2019, April 7 and 9, 2021) with deep-submergence vehicles at inactive sulfide mounds on the East Pacific Rise. (Collaborative Research: Life after Death: Do Inactive Sulfides Fuel a Unique Ecosystem at the Deep Seafloor?) This dataset includes counts by taxon for megafauna in images collected during surveys with deep-submergence vehicles at inactive sulfide mounds near the 9 50' N hydrothermal vent field on the East Pacific Rise. Images were collected with a down-looking digital still camera. We provide image areas for estimating megafauna density (counts per area of seafloor). Here we provide data from three surveys: one during HOV Alvin Dive 5044 at Lucky's Mound on 25 December 2019 on cruise AT42-21 and two during ROV Jason II Dives 1309 and 1311, on the oceanic rise (between Lucky's Mound and Sentry Spire) on 7 April 2021 and at Sentry Spire on 9 April 2021, respectively, on cruise RR2102. Megafauna were manually annotated to morphotype using ImageJ software. Morphotypes were identified to the lowest taxonomic level and assigned to a feeding mode. This dataset is provided in two formats: long-format comma-separated variable (csv) file and wide-format Excel (xlsx) file. This dataset is analyzed in a manuscript by Meneses et al. (2024).\n\ncdm_data_type = Other\nVARIABLES:\nFile_Name (unitless)\nSite (unitless)\nHabitat (unitless)\nCorrected_Area_m2 (meters squared)\nverbatimIdentification (unitless)\nFeeding_Mode (unitless)\nindividualCount (integer count)\nWoRMS_scientificName (unitless)\nWoRMS_scientificNameID (unitless)\neventDate (unitless)\nlatitude (Decimallatitude, degrees_north)\nlongitude (Decimallongitude, degrees_east)\ndepth (Depth_m, m)\nVehicle_Altitude_m (meters)\nAngleCategory (unitless)\nAdjustment_Value (unitless)\nUseable_Proportion_of_Image (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_932975_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_932975_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_932975_v1/index.htmlTable https://www.bco-dmo.org/dataset/932975 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_932975_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_932975_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_932975_v1
log in [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.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nDate (unitless)\nMOCNESS_Cast_No (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nMesh_size_microns (micrometer (µm))\nStation (unitless)\ndepth (Depth_m, m)\nVolume_Sampled_m3 (cubic meter (m3))\nSplit_Factor (unitless)\nTaxa (unitless)\nCount (unitless)\nTaxa_Concentration_animals_m3 (animals/m3)\nComment (unknown)\n BCO-DMO bcodmo_dataset_961749_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_910948_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_910948_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_910948_v1/ public [Particulate Organic Matter from BVal58 Cruise] - Concentrations of particulate organic matter (POC, PON, POP, PCOD), total oxygen demand, POM ratios, and respiration ratios from samples collected on R/V Atlantic Explorer BATS validation study #58 in the Sargasso Sea in October 2021 (Quantifying ocean oxygen-to-carbon demand by chemical analyses and inverse models) This dataset includes suspended concentrations of particulate organic carbon (POC), particulate organic nitrogen (PON), particulate organic phosphorus (POP), particulate chemical oxygen demand (PCOD), and total oxygen demand (Sigma_-O2 = PCOD + 2PON) down to a depth of 1000 meters (m) in the Sargasso Sea. This dataset also includes POM ratios (C/N, C/P, & N/P) and respiration ratios (PCOD/POC, Sigma_-O2/C, Sigma_-O2/N, & Sigma_-O2/P) with depth. These measurements were quantified from seawater samples collected aboard the R/V Atlantic Explorer as part of the Bermuda Atlantic Time-series Study Validation cruise #58 (BVal58). BVal58 started at St. George's, Bermuda on 11 October 2021 and the research group disembarked in San Juan, Puerto Rico on 21 October 2021. Euphotic zone samples (5 - 120 m) were collected using a CTD bottle rosette and disphotic zone samples (150 - 1000 m) were collected using large volume pumps.\n\nClimate-induced ocean deoxygenation is increasing, but biological components of oxygen loss remain unconstrained. We determined from this dataset that the total respiration quotient, Sigma_-O2/C, and other respiration ratios of POM vary with depth.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nMcLane_Cast (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLatitude (degrees_north)\nlongitude (degrees_east)\ndepth (Depth_m, m)\nVolume_L (liters (L))\nFilter_Num (unitless)\nDuplicate_Filter_Num (unitless)\nPOP1 (nanomolar (nM))\nPOP2 (nanomolar (nM))\nPOP3 (nanomolar (nM))\nPOP4 (nanomolar (nM))\nPOP5 (nanomolar (nM))\n... (26 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_910948_v1/index.htmlTable https://www.bco-dmo.org/dataset/910948 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_910948_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_910948_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_910948_v1
log in [ProteOMZ Peptide Level Spectral Counts] - Total spectral counts of peptides from the R/V Falkor cruise 160115 in the Central Pacific for the ProteOMZ expedition in 2016 (The ProteOMZ Expedition: Investigating Life Without Oxygen in the Pacific Ocean) Relative protein abundance data of the upper 1000m water column from the ProteOMZ R/V Falkor expedition. There are 109952 unique peptides, each with spectral counts associated with each of the 103 samples, for 10 million data points.\n\ncdm_data_type = Other\nVARIABLES:\nsample_id (unitless)\nMS_MS_sample_name (unitless)\nprotein_id (unitless)\nprotein_molecular_weight_kDa (kDa)\nbest_protein_id_probability (unitless)\npeptide_sequence (unitless)\npeptide_start_index (unitless)\npeptide_stop_index (unitless)\nplus2H_spectra_count (count)\nplus3H_spectra_count (count)\nplus4H_spectra_count (count)\nbest_sequest_DCn_score (unitless)\nbest_sequest_Xcorr_score (unitless)\nmedian_retention_time (minutes)\ntotal_precursor_intensity (unitless)\nTIC (unitless)\nspectral_count_sum (count)\nother_protein_ids (unitless)\nstation_id (unitless)\ndepth (Depth_m, m)\nlatitude (Latitude_dd, degrees_north)\nlongitude (Longitude_dd, degrees_east)\ndate_ymd (unitless)\ntime_hms (unitless)\nminimum_filter_size_microns (microns)\nmaximum_filter_size_microns (microns)\ncruise_id (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n BCO-DMO bcodmo_dataset_737596_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_737620_v3 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_737620_v3.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_737620_v3/ public [ProteOMZ Protein Level Spectral Counts] - Total spectral count of proteins from R/V Falkor cruise 160115 for the ProteOMZ expedition in the Central Pacific in 2016 (The ProteOMZ Expedition: Investigating Life Without Oxygen in the Pacific Ocean) Relative protein abundance data of the upper 1000m water column from the ProteOMZ R/V Falkor expedition. There are 56,577 protein identifications over 102 samples, for ~6 million data points.\n\ncdm_data_type = Other\nVARIABLES:\nsample_id (untiless)\nMS_MS_sample_name (untiless)\nstation_id (unitless)\ndepth (Depth_m, m)\nlatitude (Latitude_dd, degrees_north)\nlongitude (Longitude_dd, degrees_east)\ndate_ymd (unitless)\ntime_hms (unitless)\nminimum_filter_size_microns (microns)\nmaximum_filter_size_microns (microns)\ncruise_id (unitless)\nprotein_id (unitless)\nspectral_count_sum (count)\nmolecular_weight_kDa (kDa)\nprotein_name (unitless)\nncbi_id (taxon)\nncbi_name (verbatimIdentifiation)\nkegg_id (unitless)\nkegg_description (unitless)\nkegg_pathway (unitless)\npfams_id (unitless)\npfams_name (unitless)\nuniprot_id (unitless)\nenzyme_comm_id (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_737620_v3_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_737620_v3_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_737620_v3/index.htmlTable https://www.bco-dmo.org/dataset/737620 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_737620_v3.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_737620_v3&showErrors=false&email= BCO-DMO bcodmo_dataset_737620_v3
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949801_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949801_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_949801_v1/ public [PUPCYCLE 2019 upwelling transects] - Data from samples collected at four sites experiencing upwelling off the coast of Northern California in May and June of 2019 (CAREER: An integrated molecular and physiological approach to examining the dynamics of upwelled phytoplankton in current and changing oceans) The primary objective of this study aims to examine and compare the dynamics of phytoplankton blooms at different stages of upwelling. We combined environmental and physiological observations to put together a narrative of phytoplankton community succession. In doing so, we postulate that the four stations sampled represent a mosaic of different stages of relatively early upwelling cycles such that they can be classified as either the initial onset of upwelling (early stage, denoted by E1) in which the subsurface community only recently transitioned to the surface, or the relatively later phases (later stage, denoted by L2, L3, and L4) where the community has just started to build up biomass and is undergoing the \"shift-up\" response. \n\nFour sites experiencing upwelling were sampled off the coast of Northern California on May 30, 2019 (E1 and L2) and June 05, 2019 (L3 and L4). Seawater was collected using a CTD-Rosette sampler, at four depths throughout the euphotic zone at each station corresponding to 50%, 30%, 10%, and 1% incident irradiance. Samples for temperature, salinity, PAR, chlorophyll a, dissolved inorganic nutrients, dissolved metal micronutrients, and physiology were obtained. PUPCYCLE I (Phytoplankton response to the UPwelling CYCLE) took place in summer 2019 onboard the R/V Oceanus (OC 1905b), led by Chief Scientist Adrian Marchetti.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nReplicate (unitless)\ndepth (Depth_m, m)\nSample_Name (unitless)\nDate (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSalinity (PSU)\nTemperature (degrees Celsius)\nPAR (watts per square meter (W/m^2))\nNO3 (micromolar (uM))\nPO4 (micromolar (uM))\n... (38 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_949801_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_949801_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_949801_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/949801 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_949801_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_949801_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_949801_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_768259_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_768259_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_768259_v1/ public [Ross Sea metaproteome peptide spectral counts] - Ross Sea metaproteome peptide spectral counts searched against Phaeocystis strain transcriptome from net tows during RVIB Nathaniel B. Palmer cruise NBP0601 in December of 2015 (Controls of Ross Sea Algal Community Structure) A net tow metaproteome of a Phaeocystis antarctica bloom in the Ross Sea, mapped here to Phaeocystis metatranscriptomes analyzed by 2D LCMS, in units of peptide spectral counts.\n\ncdm_data_type = Other\nVARIABLES:\nsample_id (unitless)\ncruise_id (unitless)\nstation_id (unitless)\nlatitude_dd (degrees_north)\nlongitude (Longitude_dd, degrees_east)\ndepth (Depth_m, m)\ndate_local (unitless)\ntime_local (unitless)\nminimum_filter_size_microns (microns (um))\nmaximum_filter_size_microns (microns (um))\npeptide_sequence (unitless)\npeptide_start_index (unitless)\npeptide_stop_index (unitless)\nprotein_molecular_weight_kDa (kilo-Daltons (kDa))\nprotein_id (unitless)\nspectral_count_sum (unitless)\nother_protein_ids (unitless)\nbest_protein_id_probability (unitless)\nbest_sequest_DCn_score (unitless)\nbest_sequest_Xcorr_score (unitless)\nplus2H_spectra_count (unitless)\nplus3H_spectra_count (unitless)\nplus4H_spectra_count (unitless)\nmedian_retention_time (unitless)\ntotal_precursor_intensity (unitless)\nTIC (unitless)\nabsolute_units_fmol_L (femtomoles per liter (fmol/L))\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_768259_v1/index.htmlTable https://www.bco-dmo.org/dataset/768259 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_768259_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_768259_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_768259_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_768259_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_768259_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_768259_v2/ public [Ross Sea metaproteome peptide spectral counts] - Ross Sea metaproteome peptide spectral counts searched against Phaeocystis strain transcriptome from net tows during RVIB Nathaniel B. Palmer cruise NBP0601 in December of 2015 (Controls of Ross Sea Algal Community Structure) A net tow metaproteome of a Phaeocystis antarctica bloom in the Ross Sea, mapped here to Phaeocystis metatranscriptomes analyzed by 2D LCMS, in units of peptide spectral counts.\n\ncdm_data_type = Other\nVARIABLES:\nsample_id (unitless)\ncruise_id (unitless)\nstation_id (unitless)\nlatitude_dd (degrees_north)\nlongitude (Longitude_dd, degrees_east)\ndepth (Depth_m, m)\ndate_local (unitless)\ntime_local (unitless)\nminimum_filter_size_microns (microns (um))\nmaximum_filter_size_microns (microns (um))\npeptide_sequence (unitless)\npeptide_start_index (unitless)\npeptide_stop_index (unitless)\nprotein_molecular_weight_kDa (kilo-Daltons (kDa))\nprotein_id (unitless)\nspectral_count_sum (unitless)\nother_protein_ids (unitless)\nbest_protein_id_probability (unitless)\nbest_sequest_DCn_score (unitless)\nbest_sequest_Xcorr_score (unitless)\nplus2H_spectra_count (unitless)\nplus3H_spectra_count (unitless)\nplus4H_spectra_count (unitless)\nmedian_retention_time (unitless)\ntotal_precursor_intensity (unitless)\nTIC (unitless)\nabsolute_units_fmol_L (femtomoles per liter (fmol/L))\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_768259_v2/index.htmlTable https://www.bco-dmo.org/dataset/768259 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_768259_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_768259_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_768259_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_768237_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_768237_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_768237_v1/ public [Ross Sea metaproteome protein spectral counts] - Ross Sea metaproteome protein spectral counts searched against Phaeocystis strain transcriptome from net tows during RVIB Nathaniel B. Palmer cruise NBP0601 in December of 2015 (Controls of Ross Sea Algal Community Structure) A net tow metaproteome of a Phaeocystis antarctica bloom in the Ross Sea, mapped here to Phaeocystis metatranscriptomes analyzed by 2D LCMS, in units of protein spectral counts.\n\ncdm_data_type = Other\nVARIABLES:\nsample_id (unitless)\ncruise_id (unitless)\nstation_id (unitless)\nlatitude_dd (degrees_north)\nlongitude (Longitude_dd, degrees_east)\ndepth (Depth_m, m)\ndate_local (unitless)\ntime_local (unitless)\nminimum_filter_size_microns (microns (um))\nmaximum_filter_size_microns (microns (um))\nprotein_id (unitless)\nprotein_name (unitless)\nspectral_count (count)\nmolecular_weight_kDa (kilo-Daltons (kDa))\nncbi_id (unitless)\nncbi_name (unitless)\nkegg_id (unitless)\nkegg_description (unitless)\nkegg_pathway (unitless)\npfams_id (unitless)\npfams_name (unitless)\nuniprot_id (unitless)\nenzyme_comm_id (unitless)\nother_identified_proteins (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_768237_v1/index.htmlTable https://www.bco-dmo.org/dataset/768237 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_768237_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_768237_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_768237_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907028_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907028_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_907028_v1/ public [RR2004 Bottle Data] - CTD-associated variables, bottle salinity measurements, oxygen titrations, nutrient analyses, biogeochemical/biological variables, and DIC/Freon chemistry variables from R/V Roger Revelle cruise RR2004 along the 150W meridian from 30S to 60S (Collaborative Research: Biogeochemical and Physical Conditioning of Sub-Antarctic Mode Water in the Southern Ocean) These data are part of the NSF project \"Collaborative Research: Biogeochemical and Physical Conditioning of Sub-Antarctic Mode Water in the Southern Ocean\". Specifically, these are the discrete bottle data from cruise RR2004 aboard R/V Roger Revelle, which sailed from Honolulu, Hawaii on 26 December 2020 to the Southern Ocean and returned to Honolulu on 23 February 2021. The purpose of the project was to define the processes that condition Sub-Antarctic Mode Water (SAMW) formed at the Sub-Antarctic Front in the Southern Ocean. The cruise track was from 30 degrees South to 60 degrees South along the 150 degrees West meridian as well as an investigation of frontal boundaries and eddies further east (from 45S to 57S by ~145W). Bottle data were collected from CTD casts with tripped Niskin bottles on the CTD Rosette. Trace-metal-clean casts were performed using Niskin-X bottles suspended on Kevlar line and a trace-metal-clean block.  \n\nThe data reported herein fall into several categories, A) CTD-associated variables, B) bottle salinity measurements, C) oxygen titrations and nutrient analyses, biogeochemical/biological variables, and D) DIC/Freon chemistry variables. Regarding the specific data, we first report CTD variables (salinity, temperature, potential temperature, density, dissolved oxygen, sound velocity, pressure,  depth,  conductivity,   SeaBird-probe-derived oxygen concentrations, chlorophyll fluorescence, beam transmittance (660nm; %), backscattering, CTD PAR, and surface PAR reference.    Next, results from bottle samples for salinity, lab oxygen titration, and nutrient concentrations (nitrate, phosphate, silicate, nitrite, and ammonium). The following biogeochemical and biological variables are presented: particulate organic carbon concentration (POC), particulate organic nitrogen (PON), and particulate inorganic carbon (PIC), concentration of detached coccoliths (given as birefringent singlets, doublets, triplets, or quadruplets, when viewed in a compound microscope with polarization optics), total coccolith concentration (the sum of singlets, doublets, triplets or quadruplets), concentration of birefringent plated coccolithophore cells, coccospheres or coccolith aggregates, planar area subtended by detached coccoliths or plated cells, concentration of biogenic silica, concentration of chlorophyll, phaeopigment and their sum. There are a suite of variables from FlowCAM measurements, mostly done on particles greater than 5 micrometers (um) in diameter: Particle size distribution function (PSDF) slope, standard error of PSDF slope, Y-intercept of the PSDF, R^2 of the PDF slope, F statistic of PSDF slope, total cell concentration per milliliter (mL), concentrations (in cells per mL) of small 0-4um diameter cells, 4-12um round cells, 4-12um diameter ovoid cells, dinoflagellates, ciliates, diatoms silicoflagellates, other unidentified cells, followed by percent of total cell concentrations and carbon biomass (using equations of Menden Deuer and Lessard) for the same cell categories. Carbon fixation rates are then presented for: ratio of calcification/photosynthesis, photosynthesis, calcification, standard deviation of photosynthesis and calcification measurements, chlorophyll concentration within incubation bottles, chlorophyll normalized photosynthesis, and calcification. Finally, corrected salinity (based on bottle salinity), corrected SeaBird oxygen values based on lab oxygen titrations, dissolved inorganic carbon (DIC) concentrations, total alkalinity and concentration of CFC12 and CFC11 freons are presented.\n\ncdm_data_type = Other\nVARIABLES:\nSample (unitless)\n... (135 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_907028_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_907028_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_907028_v1/index.htmlTable https://www.bco-dmo.org/dataset/907028 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_907028_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_907028_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_907028_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_880760_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_880760_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_880760_v2/ public [Sample Stations for COP Cruises 2021-2022] - Sample stations for the Neotrypaea COP (Community, Oxygen, & Productivity) Effects ground-truth cruises in 2021 and 2022 (Environmental consequences of expanded recruitment of an ecosystem engineer on a hypoxia-influenced continental shelf) Benthic invertebrate communities, that the highly productive US West Coast fishery species and marine mammals rely on for food, are being increasingly impacted by low oxygen conditions. This project addresses the potential ecological consequences of a new member to these benthic communities, the ghost shrimp Neotrypaea. In estuaries, Neotrypaea continuously rework the sediment via their burrowing activities. Their high abundances and geological effects make them important in mitigating impacts of nutrient run-off (natural and human-induced), which can exacerbate low oxygen conditions. Neotrypaea are also considered threats to the oyster industry because of their sediment-excavating activities. An expansion of their distribution beyond estuaries may have additional consequences for the Dungeness crab fishery (regionally valued at $33-74M/y) as Neotrypaea sp. are both competitors with juveniles and prey for larger Dungeness crab. This project will ground-truth predictions of Neotrypaea's new offshore distribution with video and sample collections. Using box core samples we will document differences in potentially interacting benthic communities within the Neotrypaea beds as compared to areas not colonized by the shrimp. These new data are needed to determine whether the existing species composition is altered by the recruitment of Neotrypaea. We will estimate the shrimp's contribution to benthic oxygen and nutrient fluxes by using aquatic eddy covariance (EC) methods and core incubations in shelf areas with and without abundant shrimp. This dataset includes the sampling locations for the model ground-truthing/community changes (box core collections) and the EC lander deployment and slow core collections. Coastal waters along the OR-WA shelf are subject to growing human related management, extractive, cultural, and recreational activities. This research is particularly needed for commercial fisheries stakeholders in decisions regarding ocean-use planning and be valuable to oyster growers concerned over burrowing shrimp pest management.\n\ncdm_data_type = Other\nVARIABLES:\nSample (unitless)\nSample_Date (unitless)\nProject (unitless)\nVessel (unitless)\nCruiseID (unitless)\nSite (unitless)\n... (13 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_880760_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_880760_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_880760_v2/index.htmlTable https://www.bco-dmo.org/dataset/880760 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_880760_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_880760_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_880760_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_916958_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_916958_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_916958_v1/ public [Siphonophore bulk stable isotopes] - Bulk stable isotopes from siphonophores collected during four research cruises on the R/V Wester Flyer in the California Current Ecosystem between 2019 and 2021 (Collaborative research: The effects of predator traits on the structure of oceanic food webs) Samples of siphonophores (Cnidaria, Hydrozoa) were collected using blue‑water diving, midwater trawls, and remotely operated vehicles in the California Current Ecosystem, from 0 to 3,000 meters depth. Siphonophore samples were collected on four research cruises on the R/V Wester Flyer between 2019-2021. To remove potential biases associated with tissue‑specific variability in stable isotope values, the gelatinous swimming bells (nectophores) of siphonophores were sampled. This approach was possible for most specimens, except for physonect species that are extremely fragile or have nectosomes that are a small fraction of the colony length and are often not collected. For these species (e.g., Apolemia spp.), the gelatinous bracts and pieces of the siphosome, excluding gastrozooids, were used. For small individuals (Diphyes dispar, Nanomia bijuga, and Sphaeronectes koellikeri), nectophores from several colonies that were captured at the same time and sampling location were pooled to obtain an adequate mass for isotope analyses. A subset of samples was selected for compound-specific isotope analysis of amino acids. These specific taxa were selected as representatives of different depth habitats, suborders, and hypothesized diets. Bulk and compound-specific isotope analyses were performed at the University of Hawaii's Biogeochemistry Stable Isotope Facility. This dataset includes the bulk stable isotope measurements along with metadata for specimens when possible (collection month and year, latitude, longitude, depth).\n\ncdm_data_type = Other\nVARIABLES:\nShip (unitless)\nChief_Scientist (unitless)\nCruise_Name (unitless)\nYear (unitless)\nMonth (unitless)\nFamily (unitless)\nGenus (unitless)\nBest_Taxonomic_ID (unitless)\ndepth (Depth_m, m)\nLatitude (degrees_north)\nlongitude (degrees_east)\nEAweight_mg (milligrams (mg))\n... (4 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_916958_v1/index.htmlTable https://www.bco-dmo.org/dataset/916958 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_916958_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_916958_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_916958_v1
log in [SOLARIS Superoxide and Standard CTD Profiles] - SOLARIS superoxide and standard CTD profiles from the EMB276 cruise on R/V Elisabeth Mann Borgese in the Baltic Sea from September 20-27, 2021 (Collaborative Research: Manganese Cycling and Coupling Across Redox Boundaries within Stratified Basins of the Baltic Sea) SOLARIS superoxide profiles and standard CTD profiles including oxygen, turbidity, fluorescence, temperature, and PAR data from seven stations in the Baltic Sea collected between September 20 - 27, 2021. Data was collected from the R/V Elisabeth Mann Borgese.\n\ncdm_data_type = Other\nVARIABLES:\ncruise_name (unitless)\nstation_name (unitless)\ncast_number (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\nTime_Start_UTC (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\ndepth (Depth_m, m)\nSuperoxide_nM (nanomolar (nm))\nOxygen_uM (micromolar (um))\nPAR (mol?m ?2 ?s ?1.)\nFluorescence (mg/m^3)\nTurbidity_NTU (NTU (Nephelometric Turbidity Unit))\nTemp_C (degrees Celsius (°C))\nSalinity_PSU (PSU)\n BCO-DMO bcodmo_dataset_935118_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926959_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926959_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_926959_v1/ public [Suspended particle total mercury and monomethylmercury in the California Current Ecosystem (CCE)] - Suspended particle total mercury and monomethylmercury in the California Current Ecosystem (CCE) determined from samples collected on R/V Roger Revelle cruise RR2105 (P2107) in July to August 2021 (California Current Ecosystem Long Term Ecological Research site) This dataset includes concentrations of suspended particulate total mercury and monomethylmercury from 8 upwelling stations and 5 offshore stations (13 stations in total, 2-4 depths per station), during the 2021 CCE LTER Process Cruise (P2107), from July 17th to Aug 9th. Suspended particle samples (1 and 51 micrometers (µm)) were collected with a multiple-unit large-volume in situ filtration system. Sampling depths were from the surface (10 meters) to the deep ocean as deep as 1000 meters.\n\ncdm_data_type = Other\nVARIABLES:\nCruise_ID (unitless)\nCruise_Name (unitless)\nStation_Name (unitless)\nISO_DateTime_PDT (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLatitude (degrees_north)\nlongitude (degrees_east)\nCast_Number (unitless)\ndepth (Depth_m, m)\ntHg_CONC_SSF_fM (femtomolar (fM))\ntHg_CONC_SSF_FLAG (unitless)\ntHg_CONC_LSF_fM (femtomolar (fM))\ntHg_CONC_LSF_FLAG (unitless)\nMMHg_CONC_SSF_fM (femtomolar (fM))\nMMHg_CONC_SSF_FLAG (unitless)\nMMHg_CONC_LSF_fM (femtomolar (fM))\nMMHg_CONC_LSF_FLAG (unitless)\nCarbon_CONC_SSF_ug_L (microgram per liter (ug/L))\nCarbon_CONC_SSF_FLAG (unitless)\nCarbon_CONC_LSF (microgram per liter (ug/L))\nCarbon_CONC_LSF_FLAG (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_926959_v1/index.htmlTable https://www.bco-dmo.org/dataset/926959 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_926959_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_926959_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_926959_v1
log in [Trace metal and organic iron ligand data] - Trace metal and organic iron ligand data collected during the PLUME RAIDERS cruise (RR2106) on the R/V Roger Revelle from 18 September – 6 November 2021 along the 16-18ºS section of the Southern East Pacific Rise. (Collaborative Research: Are Low-Temperature Hydrothermal Vents an Important but Overlooked Source of Stabilized Dissolved Iron to the Ocean?) This dataset includes the concentrations of total dissolvable iron and manganese, dissolved iron and manganese, and dissolved organic iron-binding ligands collected on the PLUME RAIDERS expedition. Samples were collected during the PLUME RAIDERS cruise (RR2106) on the R/V Roger Revelle from 18 September – 6 November 2021. The main study area was located along the 16-18ºS section of the Southern East Pacific Rise, and the sampling was focused near the ride crest at depths below 1,500 m. Both the total dissolvable and dissolved  iron and manganese concentrations were determined shipboard using flow injection analysis. The total organic iron-binding ligand data was  generated both shipboard and in the lab using competitive ligand exchange adsorptive cathodic stripping voltammetry. The siderophore concentrations were measured following a solid phase extraction step, and then eluents were measured using inductively coupled plasma mass spectrometry. The dissolvable and dissolved metal data was generated by Dr. Joe Resing and Nathan Buck at NOAA-PMEL and the ligand and siderophore data was generated by Dr. Laura Moore and Dr. Randelle Bundy at the University of Washington.\n\ncdm_data_type = Other\nVARIABLES:\nGT_number (unitless)\nCruise (unitless)\nStation (unitless)\nCast_number (unitless)\nRosette (unitless)\nSite_Name (unitless)\nStation_ID (unitless)\nBottle_Position (unitless)\nNisken_number (unitless)\nDate (unitless)\nTime_GMT (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nPressure_dbar (dbars)\ndepth (Depth_m, m)\nTemp_degC (degrees celsius)\n... (20 more variables)\n BCO-DMO bcodmo_dataset_944890_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942725_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942725_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_942725_v1/ public [Urchin and Abalone Density Responses to Pycnopodia Cages] - Urchin and abalone density responses to caged Pycnopodia field experiment in Sitka Sound urchin barrens, February 2023 from from February 2023 (High latitude kelp dynamics project) (CAREER: Energy fluxes and community stability in a dynamic, high-latitude kelp ecosystem) We conducted a field experiment in three replicate sea urchin barrens in Sitka Sound, AK (57°2'1\"N 135°15'51\"W) in February of 2023, where we deployed kelp blades at discrete distances on four meter radial cables from caged adult P. helianthoides and control cages for 24 hours. Via SCUBA we performed quadrat density surveys of three important kelp forest grazers (Haliotis kamtschatkana, Strongylocentrotus droebachiensis, and Mesocentrotus franciscanus) at discrete distances from the cage before, 15-30 min after, and 24 hours after P. helianthoides were added to the treatment cages.\n\ncdm_data_type = Other\nVARIABLES:\nQuadID (unitless)\nRayID (unitless)\nSite (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nTreatment (unitless)\nReplicate (unitless)\nTreatRep (unitless)\nRay (unitless)\nDate (unitless)\nDiver (unitless)\nSurvey (unitless)\nHoursElapsed (hours)\ndepth_f (Depth_ft, feet (ft))\ndepth (Depth_m, m)\nQuad (unitless)\nDist_m (meters (m))\nSpecies (unitless)\nCount (individual)\nDensity_m2 (meters squared (m2))\nNotes (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_942725_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_942725_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_942725_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/942725 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_942725_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_942725_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_942725_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_933292_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_933292_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_933292_v1/ public [Water Column Nitrate d15N Cocos Ridge Upper 1000m] - Average nitrate d15N values from the upper 1000 meters of the water column at four stations sampled in the Eastern Tropical North Pacific on R/V Sally Ride cruise SR2113 in December 2021 (Collaborative Research: New approaches to study calcium carbonate dissolution on the sea floor and its impact on paleo-proxy interpretations) We report nitrate isotope data at four stations (CR01, CR02, CR03, and CR05) in the Eastern Tropical North Pacific (ETNP). The cruise (R/V Sally Ride SR2113) occupied these four stations near the Cocos Ridge between 6.8 to 5.3 degrees North latitude and 86.6 to 88.26 degrees West longitude. Sampling occurred between December 2-14, 2021. A 24-bottle Niskin rosette and CTD were used to collect 30-milliliter (mL) water samples that were later analyzed using the denitrifier method. The data were collected by Kameko Landry in the Stable Isotope Biogeochemistry Laboratory at Boston College.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\ndepth (Depth_m, m)\nWC_NO3 (micromoles per kilogram (umol/kg))\nWC_d15N (permille vs air)\nWC_d15N_1sd (permille vs air)\nLatitude (degrees_east)\nlongitude (degrees_east)\nDate (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_933292_v1/index.htmlTable https://www.bco-dmo.org/dataset/933292 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_933292_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_933292_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_933292_v1

 
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