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https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_893293 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_893293.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_893293/ public [32Si and 14C Production - Profiles - from DY131] - Depth profiles in the euphotic zone of nitrate, silicate, and phosphate concentrations and profiles of silicic acid uptake rates from EXPORTS cruise DY131 in the North Atlantic during May 2021 (Collaborative Research: Diatoms, Food Webs and Carbon Export - Leveraging NASA EXPORTS to Test the Role of Diatom Physiology in the Biological Carbon Pump) 32Si and 14C Production - Profiles - from DY131\n\ncdm_data_type = Other\nVARIABLES:\nCruise (cruise during which sample was collected\\)\ntime (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)\nEvent (Event number from R2R event log)\nActivity (which instrument was used for sample collection)\nStation (station identifier)\nCast (CTD or TM cast number)\nlatitude (degrees_north)\nlongitude (degrees_east)\nTarget_Depth (meters (m))\nActual_Depth (meters (m))\nLight_Level (unitless (percent))\nPhosphate (millimoles per cubic meter (mmol m^3))\nPhosphate_Flag (unitless)\nSilicate (millimoles per cubic meter (mmol m^3))\nSilicate_Flag (unitless)\nNitrite (millimoles per cubic meter (mmol m^3))\nNitrite_Flag (unitless)\nNitrate_and_Nitrite (millimoles per cubic meter (mmol m^3))\nNitrate_and_Nitrite_Flag (unitless)\nBlank_Corrected_POC (milligrams per cubic meter (mg m^3))\nPOC_Flag (unitless)\nBlank_Corrected_PON (milligrams per cubic meter (mg m^3))\nPON_Flag (unitless)\nchl_a_0_6um_to_5um (micrograms per cubic meter (ug m^3))\nchl_a_gt_5um (micrograms per cubic meter (ug m^3))\nbSi_0_6um_to_5um (nanomoles Si per liter (nmol Si L^1))\nbSi_gt_5um (nanomoles Si per liter (nmol Si L^1))\n... (4 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_893293_fgdc.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_893293/index.htmlTable https://www.bco-dmo.org/dataset/893293 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_893293.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_893293&showErrors=false&email= BCO-DMO bcodmo_dataset_893293
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_936073_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_936073_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_936073_v1/ public [Alkalinity and dissolved inorganic carbon (DIC) from water samples collected at coral reefs in the equatorial central Pacific in 1973, 2012, 2015, and 2018] - Alkalinity and dissolved inorganic carbon (DIC) from sea water samples collected at coral reefs from equatorial central Pacific in 1973, 2012, 2015, and 2018 (The Biophysics of Coral Reef Resilience:  hydrodynamic and ecological drivers of coral survival under extreme heat) This dataset includes total alkalinity (TA) and dissolved inorganic carbon (DIC), along with water temperature and salinity, to characterize the carbonate chemistry in the vicinity of 5 coral reef islands in the equatorial central Pacific. Discrete water samples were collected from June  7 – 18, 2012 and from September 5 – 26, 2015 at Kanton (2.8°S, 171.7°W), Enderbury (3.1°S, 171.1°W), Rawaki (3.7°S, 170.7°W) and Nikumaroro (4.7°S, 174.5°W), and from May 5 – 23, 2018 at Kanton, Rawaki, Nikumaroro, and Orona (4.5°S, 172.2°W) and at several open ocean sites. Some of the 2012 and 2015 water samples were also analyzed for nitrate, ammonium, phosphate and silicate concentrations.\nAlso included in this dataset are TA, pH, DIC, salinity, and water temperature from samples collected from November 27 to December 4, 1973 at Kanton Island by Smith, S. V., and P. L. Jokiel (1978).\n\ncdm_data_type = Other\nVARIABLES:\ntime (Datetime_utc, seconds since 1970-01-01T00:00:00Z)\nDatetime_local (unitless)\nlatitude (Lat_n, degrees_north)\nlongitude (Lon_e, degrees_east)\nSite_description (unitless)\ndepth (m)\nTemperature (degrees Celsius)\nSalinity (practical salinity unit, psu)\nTA (micromoles/kilogram)\nDIC (micromoles/kilogram)\nNitrate (micromoles/liter)\nAmmonium (micromoles/liter)\nAmmonium_flag (dimensionless)\nPhosphate (micromoles/liter)\nSilicate (micromoles/liter)\npH (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_936073_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_936073_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_936073_v1/index.htmlTable https://www.bco-dmo.org/dataset/936073 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_936073_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_936073_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_936073_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3782_v6 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3782_v6.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_3782_v6/ public [BATS discrete bottle data] - Discrete bottle samples collected at the Bermuda Atlantic Time-series Study (BATS) site in the Sargasso Sea from October 1988 through December 2023 (Bermuda Atlantic Time-series Study) Data presented here are discrete bottle samples from the Bermuda Atlantic Time-series Study (BATS) site located 80 km SE of Bermuda (31°40N, 64°10W) in the Sargasso Sea for October 1988 (cruise 10001) through December 2023 (cruise 10411). Measurements were collected from the core monthly BATS cruises and the near-biweekly (depending on ship availability) BATS Bloom cruises during February through April. The sample parameter list has been mostly consistent for the full time-series record and includes: salinity, dissolved oxygen, dissolved inorganic carbon, alkalinity, nutrients (nitrate + nitrite, nitrite, phosphate, silicate), particulate organics (carbon, nitrogen, phosphorous), particulate silicate, total organic carbon and nitrogen, total dissolved phosphorus, bacterial enumeration, and flow cytometry counts of picoplankton. The HPLC derived phytoplankton pigment data which are collected synoptically with many of the above parameters are reported in a separate dataset.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nBottle_ID (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nVessel (unitless)\nCruise_ID (unitless)\nCruise_type (unitless)\nCruise_num (unitless)\nCast_num (unitless)\nBottle_num (unitless)\nQF_bottle (unitless)\ndepth (m)\nQF1_Depth (unitless)\nTemp (degrees Celsius (°C))\nQF2_Temp (unitless)\nCTD_Salinity (dimensionless)\nQF3_CTD_Sal (unitless)\n... (53 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_3782_v6_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_3782_v6_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_3782_v6/index.htmlTable https://www.bco-dmo.org/dataset/3782 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_3782_v6.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_3782_v6&showErrors=false&email= BCO-DMO bcodmo_dataset_3782_v6
log in [BATS discrete bottle data] - Discrete bottle samples collected at the Bermuda Atlantic Time-series Study (BATS) site in the Sargasso Sea from October 1988 through June 2024 (Bermuda Atlantic Time-series Study) Data presented here are discrete bottle samples from the Bermuda Atlantic Time-series Study (BATS) site located 80 km SE of Bermuda (31°40N, 64°10W) in the Sargasso Sea for October 1988 (cruise 10001) through June 2024 (cruise 10416). Measurements were collected from the core monthly BATS cruises and the near-biweekly (depending on ship availability) BATS Bloom cruises during February through April. The sample parameter list has been mostly consistent for the full time-series record and includes: salinity, dissolved oxygen, dissolved inorganic carbon, alkalinity, nutrients (nitrate + nitrite, nitrite, phosphate, silicate), particulate organics (carbon, nitrogen, phosphorous), particulate silicate, total organic carbon and nitrogen, total dissolved phosphorus, bacterial enumeration, and flow cytometry counts of picoplankton. The HPLC derived phytoplankton pigment data which are collected synoptically with many of the above parameters are reported in a separate dataset.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nBottle_ID (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nVessel (unitless)\nCruise_ID (unitless)\nCruise_type (unitless)\nCruise_num (unitless)\nCast_num (unitless)\nBottle_num (unitless)\nQF_bottle (unitless)\ndepth (m)\nQF_Depth (unitless)\nTemperature (degrees Celsius ( °C))\nQF_Temp (unitless)\nCTD_Salinity (dimensionless)\nQF_CTD_Sal (unitless)\n... (49 more variables)\n BCO-DMO bcodmo_dataset_3782_v7
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942884_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942884_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_942884_v1/ public [Biogeochemical Measurements from Surface Waters at the North Shore of Mo'orea, French Polynesia] - Biogeochemical and microbial parameters collected during spatial surveys on a coral reef at Mo'orea's North Shore (French Polynesia) in September 2017, May 2019, and April 2022 (Collaborative Research: Characterizing microbial transformation of marine DOM at the molecular level using untargeted metabolomic) This data includes biogeochemical and microbial parameters collected during spatial surveys on a coral reef at Mo'orea's North Shore (French Polynesia). Sampling took place in September 2017, May 2019, and April 2022. In 2019 and 2022, samples were also collected across three midday Lagrangian transect deployments, following water flowing linearly from ocean-facing forereefs over a reef crest to backreef lagoons. A variety of methods were used including colorimetric detection of inorganic nutrients, high-temperature combustion/oxidation, or chemical oxidation for the analysis of dissolved organic carbon (DOC) and particulate organic carbon and nitrogen (POC and PON) concentrations, isotope ratio mass spectrometry for determining stable carbon and nitrogen isotopes of particulate organic matter (POM), scanning excitation-emissions fluorescence measurements of whole seawater to quantify fluorescent dissolved organic matter (fDOM), flow cytometry-based cell counts to quantify bacterial abundance, and liquid chromatography coupled to tandem mass spectrometry to identify individual chemical features within marine DOM. These data help to quantify how biogeochemical parameters change in this region of the reef as open ocean waters flow onto the reef, over the reef, and then mix with waters in the bay. This work helps us to better identify external nutrients to the reef and how reef organisms modify and cycle carbon, nitrogen, and phosphorus over the reef. The results may be of use to physical, chemical, and biological oceanographers who study tropical reef systems and could inform other studies in the region including those conducted as part of the Mo'orea Coral Reef (MCR) Long Term Ecology Research (LTER) program. The samples were collected, measured (for a subset as noted below), and analyzed primarily by members of Lihini Aluwihare's group.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\nSampling_Strategy (unitless)\nMassiveID (unitless)\nMS_Sample_ID_1 (unitless)\nMS_Sample_ID_2 (unitless)\nYear (unitless)\nlongitude (degrees_east)\nlatitude (degrees_north)\n... (41 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_942884_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_942884_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_942884_v1/index.htmlTable https://www.bco-dmo.org/dataset/942884 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_942884_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_942884_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_942884_v1
log in [BVAL bottle data (BATS Validation cruises)] - Discrete bottle samples collected during BATS Validation (BVAL) cruises from April 1991 through July 2024 (Bermuda Atlantic Time-series Study) Data presented here are discrete bottle samples for BATS validation (BVAL) cruise 50001 (April 1991) through BVAL cruise 50061 (June/July 2024). The sample parameter list has been mostly consistent for the full time-series record and includes: salinity, dissolved oxygen, dissolved inorganic carbon, alkalinity, nutrients (nitrate + nitrite, nitrite, phosphate, silicate), particulate organics (carbon, nitrogen, phosphorous), particulate silicate, total organic carbon and nitrogen, total dissolved phosphorus, bacterial enumeration, and flow cytometry counts of picoplankton.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nVessel (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast_type (unitless)\nCast_num (unitless)\nBottle_num (unitless)\nQF_Niskin_GoFlo (unitless)\ndepth (m)\nQF1_Depth (unitless)\nTemp (degrees Celsius)\nQF2_Temp (unitless)\nCTD_Sal (PSS-78)\nQF3_CTD_Sal (unitless)\nSal1 (PSS-78)\nQF4_Sal1 (unitless)\nSigma_theta (kilogram per cubic meter (kg/m^3))\nQF5_Sigma_theta (unitless)\n... (45 more variables)\n BCO-DMO bcodmo_dataset_917255_v6
log in [BVAL bottle data (BATS Validation cruises)] - Discrete bottle samples collected during BATS Validation (BVAL) cruises from April 1991 through June 2023 (Bermuda Atlantic Time-series Study) Data presented here are discrete bottle samples for BATS validation (BVAL)  Cruise # 1 (April 1991) through BVAL cruise # 60 (June 2023). Following the first several years of the BATS project it was deemed necessary by the JGOFS steering committee and BATS PIs to conduct validation cruises in the vicinity of the nominal BATS site to better understand the mesoscale and larger scale variability of the region. In particular, a focus of the BVAL cruises was to assess the spatial scale representation of the BATS and Hydrostation ‘S' programs. Initial focus of the BVAL cruises was to investigate mesoscale variability and  meridional gradients of the local region. Later, cruises focused on specific mesoscale eddies (e.g., McGillicuddy et al., 1998; McGillicuddy et al., 1999) and effects of tropical cyclones through the local region. In the year 2000 it was deemed more important to document the larger scale changes in the North Atlantic Subtropical gyre so BVAL cruises established a transect line from ~ 35N to 19N (Bermuda to Puerto Rico) very similar to the WOCE A22 repeat hydrography line (Johnson et al., 2020). These annual Bermuda to Puerto Rico transects have been run since 2000 and target stations at every one degree of latitude and typically have been conducted in September/October of each year to capture maximal heat content in the upper ocean. However, since this timeframe coincides with high tropical cyclone activity the cruises were reluctantly (as of 2022) moved to begin in June/July of each year for safety and operational reasons. In the pentad prior to 2022 every BVAL cruise was significantly impacted by multiple tropical cyclones. Parameters presented are the same as provided in the standard BATS bottle files. To browse cruise tracks please see the supplemental information.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nVessel (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast_type (unitless)\nCast_num (unitless)\n... (61 more variables)\n BCO-DMO bcodmo_dataset_917255_v5
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_927046_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_927046_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_927046_v1/ public [Dissolved Organic Matter Sulfur and Carbon Analysis] - Dissolved organic matter sulfur and carbon analysis of samples collected between 2010 and 2021 from various locations globally (Resolving sources of marine DOM via novel sulfur isotope analyses) The following dataset of SPE (solid phase extracted) DOM (dissolved organic matter) accompanies Phillips et al. 2022 (doi: 10.1073/pnas.2209152119). Our project sought to address the question of where long-lived organic molecules that are dissolved in the oceans come from, in particular molecules containing sulfur (S). Our approach was to measure the relative abundance of two stable sulfur isotopes (S-32 and S-34) in these molecules, which is technically very difficult due to the presence of million-fold higher sulfate ions in seawater. We developed a new preparatory chemistry to adequately isolate these organic molecules, and a new elemental analyzer/mass spectrometry method to measure their isotope abundances with high precision at trace levels. We conducted these S isotope measurements on 100 samples of dissolved organic matter (DOM) that had been previously collected by our collaborators from around the world (Northeast Pacific oxygen minimum zone, Northeast Pacific Shelf, North Pacific Gyre, San Pedro Basin, Caeté Estuary, South Pacific Gyre, and the North Sea). We also collected 2 dozen new samples from oceanographic stations in the North Pacific Gyre (Hawaii Ocean Timeseries) and North Atlantic Gyre (Bermuda Atlantic Time Series). The dataset includes 1) sample information such as sample ID, sample location, station name, collection depth (ranging from 0 to 4800 meters), latitude and longitude, month and year sampled (ranging from 2010 to 2021); 2) elemental analysis such as sulfur isotope values (δ34S), carbon (C) isotope values (δ13C), and C:S molar ratios; 3) physical parameters from collaborators' CTD analysis, such as oxygen, salinity, fluorescence, and temperature; and 4) chemical data from collaborators such as dissolved nitrate, phosphate, silicate, and calculated DOC (dissolved organic carbon) and DOS (dissolved organic sulfur) concentrations. Our data show that DOM molecules have (34S/32S) isotope ratios that are entirely consistent with being formed from ocean sulfate, and inconsistent with being formed by reactions of hydrogen sulfide in anoxic porewaters. This result negates one of the leading hypotheses for how long-lived DOM forms, i.e. by reactions in anoxic sediments. Instead, this sharpens our focus on understanding how relatively short-lived biomolecules in the surface ocean are transformed into long-lived DOM molecules.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\nSample_Location (unitless)\nStation (unitless)\n... (23 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_927046_v1/index.htmlTable https://www.bco-dmo.org/dataset/927046 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_927046_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_927046_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_927046_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942928_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942928_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_942928_v1/ public [Dissolved trace metals and macronutrients from a 2014 IRNBRU cruise GoFlo Data] - Dissolved trace metals and macronutrients from samples collected using GoFlo on R/V Melville MV1405 (IRN-BRU) cruise in the California Current System in July 2014 (Accomplishment Based Renewal:   An iron limitation mosaic within the central California Current System) This dataset is a suite of dissolved trace metal concentrations, along with macronutrient concentrations, collected using a GoFlo on R/V Melville cruise MV1405 (IRN-BRU) while investigating the mosaic of the California Current System in July 2014. It includes depth profiles of an active upwelling site nearshore over the shelf in northern California (Station 2), a more aged upwelling site offshore of the shelf break in southern Oregon (Station 28), a station in the Santa Barbara Basin that got suboxic in the lower depths of the water column (Station 29), and a set of stations (9, 12 and 15) that show two cyclonic eddies, one two months younger (station 9) than the other (station 15), but both coming from roughly the same place and moving offshore, with station 12 in between them in an offshoot of the California Current. The chief scientist of the cruise was Ken Bruland. Trace metal samples were analyzed by Claire Till (nee Parker) as his graduate student. Nutrient samples were analyzed by Tyler Coale. See related datasets for additional samples using a regular rosette (macronutrient concentrations) and surface samples from a TowFish (macronutrient and dissolved trace metal concentrations) collected on MV1405.\n\ncdm_data_type = Other\nVARIABLES:\nSample_date (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nStation_number (unitless)\nStation_notes (unitless)\ndepth (m)\nNitrate_plus_nitrite (umol/kg)\nPhosphate (umol/kg)\nSilicate (umol/kg)\nFe (nmol/kg)\nY (pmol/kg)\nCd (pmol/kg)\nLa (pmol/kg)\nPb (pmol/kg)\nCe (pmol/kg)\n... (7 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_942928_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_942928_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_942928_v1/index.htmlTable https://www.bco-dmo.org/dataset/942928 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_942928_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_942928_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_942928_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_943015_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_943015_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_943015_v1/ public [Dissolved trace metals and macronutrients from a 2014 IRNBRU cruise Surface Data] - Dissolved trace metals and macronutrients from samples collected using a tow-fish system on R/V Melville MV1405 (IRN-BRU) cruise in the California Current System in July 2014 (Accomplishment Based Renewal:   An iron limitation mosaic within the central California Current System) This dataset is a suite of dissolved trace metal concentrations, along with macronutrient concentrations collected using a trace-metal clean towed-fish system on R/V Melville cruise MV1405 (IRN-BRU) while investigating the mosaic of the California Current System in July 2014. This dataset includes samples from transects 2, 5, 8, and 9. Transect 2 started at station 2 (an active upwelling site nearshore over the shelf in northern California; see related datasets) and followed the upwelled plume offshore. Transect 5 went through the eddy stations (stations 9, 12, and 15; see related datasets). Transects 8 and 9 went through the plume measured in station 28 (a more aged upwelling site offshore of the shelf break in southern Oregon; see related datasets). The chief scientist of the cruise was Ken Bruland. Trace metal samples were analyzed by Claire Till (nee Parker) as his graduate student. Nutrient samples were analyzed by Tyler Coale. See related datasets for depth profile samples using a regular rosette (macronutrient concentrations) and teflon-coated GoFlos (macronutrient and dissolved trace metal concentrations) collected on MV1405.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Date_time_iso_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nTransect_number (unitless)\nNitrate (umol/kg)\nPhosphate (umol/kg)\nSilicate (umol/kg)\nFe (nmol/kg)\nY (pmol/kg)\nCd (pmol/kg)\nLa (pmol/kg)\nPb (pmol/kg)\nCe (pmol/kg)\nSc (pmol/kg)\nMn (nmol/kg)\nCo (pmol/kg)\n... (4 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_943015_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_943015_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_943015_v1/index.htmlTable https://www.bco-dmo.org/dataset/943015 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_943015_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_943015_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_943015_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948590_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948590_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_948590_v1/ public [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.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nDate_UTC (unitless)\nTime_UTC (unitless)\nEvent (unitless)\nActivity (unitless)\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nexp_id (unitless)\nIncubation (unitless)\nTreatment (unitless)\nreplicate (unitless)\nBioProject (unitless)\nBioSample (unitless)\nSRA_sample (unitless)\nPhosphate (millimoles per cubic meter (mmol m^3))\nPhosphate_flag (unitless)\nSilicate (millimoles per cubic meter (mmol m^3))\nSilicate_flag (unitless)\nNitrite (millimoles per cubic meter (mmol m^3))\nNitrite_flag (unitless)\n... (8 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_948590_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_948590_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_948590_v1/index.htmlTable https://www.bco-dmo.org/dataset/948590 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_948590_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_948590_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_948590_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906740_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906740_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_906740_v1/ public [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.\n\ncdm_data_type = Other\nVARIABLES:\nBioProject_accession (unitless)\nBioSample_accession (unitless)\nsample_name (unitless)\nSRA_accession (unitless)\ncollection_date (unitless)\ngeo_loc_name (unitless)\nhost (unitless)\nlat (degrees_north)\nlongitude (degrees_east)\nisolation_source (unitless)\nhost_common_name (unitless)\nhost_disease (unitless)\nhost_condition (unitless)\nhost_coral_cleaner_goby_pretreatment (unitless)\nhost_coral_reef_id (unitless)\nlocation_survey_date (unitless)\n... (13 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_906740_v1/index.htmlTable https://www.bco-dmo.org/dataset/906740 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_906740_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_906740_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_906740_v1
log in [Pseudo-nitzschia spp. presence-absence and environmental data] - Pseudo-nitzschia spp. presence-absence and environmental data in Narragansett Bay in Rhode Island, USA and the Northeast U.S. Shelf (NES-LTER transect) from 2018-2023 (Northeast U.S. Shelf Long Term Ecological Research site) This dataset includes environmental measurements and presence-absence of Pseudo-nitzschia species, a harmful algal bloom diatom genus, associated with samples from various sites in Narragansett Bay, Rhode Island, including the Narragansett Bay Long Term Plankton Time Series site, and several stations along the Northeast U.S. Shelf Long Term Ecological Research program transect. These data correspond to an analysis of Pseudo-nitzschia species composition and domoic acid toxin production during winters and summers from 2018-2023 in Narragansett Bay and the Northeast U.S. Shelf, which was prepared for submission to Harmful Algae (Roche, et al.). This dataset includes sites information, particulate domoic acid concentration, Pseudo-nitzschia cell counts, temperature, salinity, nutrient concentrations, presence-absence of Pseudo-nitzschia species, and NCBI BioSample accessions.\n\ncdm_data_type = Other\nVARIABLES:\nlibrary_ID (unitless)\nSample_Date (unitless)\nSite (unitless)\nSite_Abbreviation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDepth_category (unitless)\ndepth (m)\nSeason (unitless)\nLTER_cruise (unitless)\nCTD_cast (unitless)\nNiskin (unitless)\npDA (nanograms/liter (ng/L))\nPseudonitzschia (cells/liter)\nTemp (Degrees Celsius (°C))\nSalinity (Practical Salinity Units (PSU))\nPhosphate (microMolar)\nSilicate (microMolar)\n... (28 more variables)\n BCO-DMO bcodmo_dataset_936856_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_787316 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_787316.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_787316/ public [Wetz-783256-Discrete] - Discrete hydrographic measurements - Effects of Hurricane Harvey on Estuarine Water Quality in the Lavaca-Colorado, Guadalupe and Nueces Estuaries between August 2017 and January 2018. (RAPID: Capturing the Signature of Hurricane Harvey on Texas Coastal Lagoons) Discrete hydrographic measurements of Lavaca-Colorado, Guadalupe and Nueces Estuaries on the Texas coast between August 2017 and January 2018.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nTimes (unitless)\nSite (unitless)\nReplicate (unitless)\ndepth (m)\nChlorophyll (Concentration Of Chlorophyll In Sea Water, migrograms per liter (ug/L))\nConductivity (Sea Water Electrical Conductivity, mircosiemens per centimeter (µS/cm))\nSalinity (Sea Water Practical Salinity, unitless)\nDO (milligram per liter (mg/L))\nDOPct (percentage (%))\npH (Sea Water Ph Reported On Total Scale, pH units)\nTemp (Temperature, degrees celcius  (°C))\nSecchi (meter (m))\nDOC (Micromoles per Liter (umol/L))\nTDN (Micromoles per Liter (umol/L))\nTOC (Micromoles per Liter (umol/L))\nTN (Micromoles per Liter (umol/L))\nAmmonium (Mole Concentration Of Ammonium In Sea Water, Micromoles per Liter (umol/L))\nN_N (Micromoles per Liter (umol/L))\nNitrite (Mole Concentration Of Nitrite In Sea Water, Micromoles per Liter (umol/L))\northo_P (Micromoles per Liter (umol/L))\nSilicate (Micromoles per Liter (umol/L))\nEstuary (unitless)\ntime (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_787316_fgdc.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_787316/index.htmlTable https://www.bco-dmo.org/dataset/787316 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_787316.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_787316&showErrors=false&email= BCO-DMO bcodmo_dataset_787316
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_931936_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_931936_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_931936_v1/ public [Winam Gulf Metagenomic Time Series] - Metagenomic Time Series of Winam Gulf, Lake Victoria from 2022-2023 (ASI Lake Victoria project) (IRES Track II: Advanced studies institute on water quality and harmful algal blooms in Lake Victoria) Compared to the other \"Great Lakes\" (Laurentian Great Lakes of North America and Lake Baikal of Russia) the African Great Lakes have remained widely unstudied. This serves as a substantial research gap within the limnological literature given the African Great Lakes contribute approximately 25% of all global, accessible freshwater.  Lake Victoria of the African Great Lakes is notable for its large size - serving as the second largest freshwater lake in the world by surface area. Yet, Lake Victoria is also known for the prolific year-long cyanobacterial blooms that occur throughout her waters such as the Winam Gulf. These blooms are fueled by intense agricultural and anthropogenic development much like other freshwater harmful algal blooms. However, unlike other freshwater blooms such as those occurring in Lake Erie and Lake Taihhu - these cyanobacterial blooms have remained widely uncharacterized (especially using molecular techniques). \n\nThe central study area is the Winam Gulf of Lake Victoria, Kenya. This is a relatively shallow, hypereutrophic system that has various rivers serving as nutrient loading sources (such as the Sondu River). This dataset also contains opportunistic samples collected from a variety of riverine systems and Lakes Simbi and Naivasha. \n\nHere, we present the biological, chemical and physical data corresponding to a two year metagenomic time series of the Winam Gulf, Lake Victoria. We further present the physiochemical data of eight outgroup samples including adjacent riverine systems and Lakes Simbi and Naivasha.\n\ncdm_data_type = Other\nVARIABLES:\nLibrary_ID (unitless)\nSite_Name (unitless)\nReplicate_id (unitless)\nSampleID (unitless)\nStudyID (unitless)\nSample_type (unitless)\nLake_or_river (unitless)\nlatitude (degrees_north)\n... (40 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_931936_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_931936_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_931936_v1/index.htmlTable https://www.bco-dmo.org/dataset/931936 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_931936_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_931936_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_931936_v1

 
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