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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
log in [Mesocosm CB 2021 Uptake Rates] - Nitrogen and carbon uptake rates for mesocosm incubation experiment simulating a phytoplankton bloom in Chesapeake Bay August 2021 (Marine Diatom-Parasite Relationships in Upwelling Systems) A mesocosm experiment was performed in August 2021 on the R/V Hugh Sharp, cruise HRS2110, at a station near the mouth of Chesapeake Bay to simulate a phytoplankton bloom and to assess changes in assemblage and biogeochemical processes while excluding changes due to advection. Three 20-L carboys were filled with filtered bay water, inoculated with surface water and sampled daily for a week. Nutrient concentrations, nitrate and bicarbonate uptake rates, pigment concentrations and samples for 18S rRNA gene sequence analysis were collected once or more times per day. 15NO3- and H13CO3- tracer incubations were performed alongside pigment and DNA sampling to compare temporal trends in community composition and primary productivity (nitrogen (N) and carbon (C) transport rates). These results address the nature of phytoplankton blooms, and present a more complex relationship between bloom progression and phytoplankton diversity that usually assumed or detected by traditional methods. This dataset contains the measured nitrogen and carbon uptake rates for the three replicate mesocosms over the course of the simulated bloom. These data were collected by Jenna Lee from Princeton University.\n\ncdm_data_type = Other\nVARIABLES:\nSamp_ID (unitless)\nCarboy (unitless)\nRep (unitless)\nDate_Local (unitless)\nTracer_Vol_13C (milliliters (mL))\nTracer_Vol_15N (milliliters (mL))\nTime_Local_Collected (unitless)\nTime_Local_Added (unitless)\nTime_Local_Filtered (unitless)\nSamp_Vol (milliliters)\nRinse (unitless)\nPOC (micromolar (µM))\nPON (micromolar (µM))\nC_transport (micromolar per day (µM d-1)))\nN_transport (micromolar per day (µM d-1)))\nNotes (unitless)\ntime (Iso_datetime_utc_collected, seconds since 1970-01-01T00:00:00Z)\n BCO-DMO bcodmo_dataset_959935_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_917642_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_917642_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_917642_v1/ public [North Pacific Atmospheric Particulates] - Total organic carbon content, total nitrogen content, and carbon isotope (13C and 14C) composition of atmospheric particulates from aerosol samples collected on the R/V Dong Fang Hong-3 in the western North Pacific from October to December 2019 (Collaborative Research: Characterization of Reactive Nitrogen in The North Pacific Atmosphere) These data include the content of total organic carbon and total nitrogen, and carbon isotope (13C and 14C) composition of atmospheric particulates collected in the western North Pacific. On-ship aerosol sampling was conducted on the R/V Dong Fang Hong-3 during a cruise to the western North Pacific from October 31 to December 1, 2019. Sampling was conducted using two portable aerosol particle samplers (model 2030, Qingdao Laoying Environmental Technology Co.) with a filter size of 9 cm O.D. Recognizing the deposition of atmospheric particulates has the potential to further understanding of the role of atmospheric deposition in the carbon cycle and biogeochemistry in the ocean. These data assess the contribution of atmospheric deposition to organic carbon and were conducted by Prof. XuChen Wang of the Key Laboratory of Marine Chemistry Theory, Ocean University of China, Qingdao 266100, China.\n\ncdm_data_type = Other\nVARIABLES:\nSample_number (unitless)\nDate (unitless)\nStart_time (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nSampling_period (hours (h))\nLatitude (degrees_north)\nlongitude (degrees_east)\nTotal_air_volume (liters (L))\nParticle_weight (milligrams (mg))\nTotal_particulates_concentration (micrograms per cubic meter (ug/m3))\nPOC (percent (%))\nTN (percent (%))\nPOC_d13C (per mil (‰))\nd14C (per mil (‰))\nd14C_stdev (per mil (‰))\nAge_14C (Year BP)\nAge_14C_stdev (Year BP)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_917642_v1/index.htmlTable https://www.bco-dmo.org/dataset/917642 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_917642_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_917642_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_917642_v1
log in [Physiology responses of coastal and oceanic Synechococcus to iron warming interactions] - Physiology responses to experimental iron warming interactions of coastal and oceanic Synechococcus collected from the South China Sea (Collaborative Research: Evolutionary, biochemical and biogeochemical responses of marine cyanobacteria to warming and iron limitation interactions) The unicellular cyanobacterium Synechococcus is one of the most important primary producers in the ocean, and its growth and distribution are regionally limited by iron (Fe) concentration and temperature. However, the potential interactions between Fe availability and ocean warming in Synechococcus remain largely unexplored. We cultivated coastal (XM24) and oceanic (YX04-1) Synechococcus isolates from South China Sea under a matrix of two Fe concentrations (2 nM, 250 nM) and temperatures (24°C, 27°C) to investigate their physiological and transcriptomic responses. This dataset includes the sample identifier, strain information, iron and temperature treatment information, normalized iron quotas, carbon fixation rates, particulate organic nitrogen, and particulate organic carbon measurements. This experiment was performed at the University of Southern California in Dr. David Hutchins's lab from July to December of 2020.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\nStrain (unitless)\nTemperature (degrees Celsius)\nFe_concentration (nM)\nFe_C (nmol/umol)\nC_fixation (h⁻¹)\nPON (pmol N cell⁻¹)\nFe_P (mmol/mol)\nPOC (pmol C cell⁻¹)\n BCO-DMO bcodmo_dataset_932220_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_896862_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_896862_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_896862_v2/ public [Synthesis Product for Ocean Time Series (SPOTS)] - Synthesis Product for Ocean Time Series (SPOTS) (EarthCube RCN for Marine Ecological Time Series (METS)) The presented time-series data synthesis pilot product includes data from 12 fixed ship-based time-series programs. The related stations represent unique marine environments within the Atlantic Ocean, Pacific Ocean, Mediterranean Sea, Nordic Seas, and Caribbean Sea. The focus of the pilot has been placed on biogeochemical essential ocean variables: dissolved oxygen, dissolved inorganic nutrients, inorganic carbon (pH, total alkalinity, dissolved inorganic carbon, and partial pressure of CO2), particulate matter, and dissolved organic carbon. The time-series used include a variety of temporal resolutions (monthly, seasonal, or irregular), time ranges (10 to 36 years), and bottom depths (80 to 6000 meters), with the oldest samples dating back to 1983 and the most recent one corresponding to 2021. Besides having been harmonized into the same format (semantics, ancillary data, units), the data were subjected to a qualitative assessment in which the applied methods were evaluated and categorized. Additional data-quality descriptors include precision and accuracy estimates. This data product pilot facilitates a variety of applications that benefit from the collective value of biogeochemical time-series observations and forms the basis for a sustained time-series living data product, complementing relevant products for the global interior ocean carbon data (GLobal Ocean Data Analysis Project), global surface ocean carbon data (Surface Ocean CO2 Atlas; SOCAT), and global interior and surface methane and nitrous oxide data (MarinE MethanE and NiTrous Oxide product).\n\ncdm_data_type = Other\nVARIABLES:\nTimeSeriesSite (unitless)\nCRUISE (unitless)\nSTNNBR (unitless)\nCASTNO (unitless)\nBTLNBR (unitless)\nDATE (unitless)\nTIME (unitless)\nLATITUDE (degrees_north)\nlongitude (degrees_east)\nCTDPRS (decibar (dbar))\nSIGMA0 (kilogram per cubic meter (kg/m3))\n... (98 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_896862_v2/index.htmlTable https://www.bco-dmo.org/dataset/896862 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_896862_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_896862_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_896862_v2

 
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