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| griddap | Subset | tabledap | Make A Graph | wms | files | Accessible | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| log in | [EXPORTS NA nuts and TM field data] - Dissolved trace metal and macronutrient concentrations rom field samples collected during the EXPORTS North Atlantic campaign at the Porcupine Abyssal Plain-Sustained Observatory (PAP-SO) site on board the RRS Discovery (DY131) in 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) | This dataset includes dissolved trace metal (manganese, iron, cobalt, nickel, copper, cadmium, zinc, lead) and macronutrient (nitrate+nitrite, phosphate, silicic acid, nitrite) concentration data from field samples collected during the EXPORTS North Atlantic campaign at the Porcupine Abyssal Plain-Sustained Observatory (PAP-SO) site on board the RRS Discovery (DY131). These data were primarily collected opportunistically during the course of water collection for incubation experiments (see separate dataset for incubations), and provide field context for the shipboard incubation experiments as well as temporal characterization of a retentive anticyclonic eddy occupied over the course of the cruise.\n\nThis research focuses on the vertical export of the carbon associated with a major group of phytoplankton, the diatoms in the North Atlantic near the Porcupine Abyssal Plain. The major objective is to understand how diatom community composition and the prevailing nutrient conditions create taxonomic differences in metabolic state that combine to direct diatom taxa to different carbon export pathways. The focus is on diatoms, given their large contribution to global marine primary productivity and carbon export which translates into a significant contribution to the biogeochemical cycling of carbon (C), nitrogen (N), phosphorus (P), iron (Fe) and silicon (Si). It is hypothesized that the type and degree of diatom physiological stress are vital aspects of ecosystem state that drive export. To test this hypothesis, combined investigator expertise in phytoplankton physiology, genomics, and trace element chemistry is used to assess the rates of nutrient use and the genetic composition and response of diatom communities, with measurements of silicon and iron stress to evaluate stress as a predictor of the path of diatom carbon export. The EXPORTS field campaign in the North Atlantic sampled a retentive eddy over nearly a month in May 2021, which coincided with the decline of the North Atlantic Spring Bloom.\n\ncdm_data_type = Other\nVARIABLES:\nCRUISE_ID (unitless)\nEVTNBR (unitless)\nDATE_UTC (unitless)\nTIME_UTC (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n... (90 more variables)\n | BCO-DMO | bcodmo_dataset_954941_v1 | ||||||||||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_950296_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_950296_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_950296_v1/ | public | [FeOA Profile Data] - Depth profile chlorophyll, macronutrient, trace metal, metal speciation, and carbon system data from FeOA project cruise SKQ202209S on the R/V Sikuliaq in the Northeast Pacific between June and July 2022 (Collaborative Research: The Effect of Ocean Acidification on Fe Availability to Phytoplankton in Coastal and Oceanic Waters of the Eastern North Pacific) | This dataset includes the concentrations of dissolved inorganic macronutrients (phosphate, nitrate plus nitrite (N+N), silicic acid, and nitrite), chlorophyll a and phaeophytin, dissolved trace metals (iron, manganese, nickel, zinc, copper), and labile dissolved nickel, as well as pH and total alkalinity measurements, from discrete depth profile samples collected on the FeOA cruise SKQ202209S on R/V Sikuliaq in the Northeast Pacific from June to July 2022.\n\nThis project investigates the effects of ocean acidification on the associations between iron and organic ligands in seawater and on iron bioavailability to marine phytoplankton communities. The project used a combination of shipboard incubation experiments and depth profiles to characterize iron speciation and cycling across coastal upwelling, oligotrophic open ocean, and iron-limited subarctic oceanographic regimes in the NE Pacific. Surface seawater was incubated at pH of 8.1, 7.6, and 7.1 with natural iron and with dissolved iron amendments in order to investigate interactions between pH and iron bioavailability across the different regimes. Understanding how pH influences iron and its relationship with ligands provides important information for assessing the impacts of ocean acidification on primary production and biogeochemical processes.\n\ncdm_data_type = Other\nVARIABLES:\nCRUISE_ID (unitless)\nEVTNBR (unitless)\nDATE_SHIP (unitless)\nTIME_IN_SHIP (unitless)\nTIME_OUT_SHIP (unitless)\ntime (In_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nOUT_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nPLATFORM (unitless)\nCASTNBR (unitless)\nSTNNBR (unitless)\nBTLNBR (unitless)\n... (50 more variables)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_950296_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_950296_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_950296_v1/index.htmlTable | https://www.bco-dmo.org/dataset/950296
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_950296_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_950296_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_950296_v1 | |||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_994890_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_994890_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_994890_v1/ | public | [GP17-ANT Fe-binding ligands] - Dissolved iron-binding ligand concentrations and conditional stability constants from field samples collected on US GEOTRACES GP17-ANT cruise NBP24-01 on RVIB Palmer in the Amundsen Sea from Nov 2023 to Jan 2024 (Collaborative Research: U.S. GEOTRACES GP17-OCE and GP17-ANT: Characterizing iron-binding organic ligands in the Southern Ocean and implications for iron cycling in the global ocean) | Iron is an essential micronutrient for marine life, and its distribution across the world ocean is mostly driven by its complexation by a fraction of the dissolved organic matter pool called iron-binding ligands. This dataset includes the concentration and conditional stability constant of dissolved iron-binding ligands of samples collected during the U.S. GEOTRACES GP17-ANT cruise. This cruise was aiming to investigate the distribution of trace metals and dependent variables in the Amundsen Sea (Antarctica), hotspot of primary production and of major interest in carbon cycling. The cruise departed Punta Arenas (Chile) on November 29th, 2023 and arrived in Lyttelton (New Zealand) on January 28th 2024, after sample collection in the Amundsen Sea (Antarctica). Seawater samples were collected with a tow-fish and a trace metal clean rosette equipped with 24 GoFlo bottles, placed in acid-clean FLPE bottles, and stored frozen (-20 degrees Celsius) until onboard analysis by Dr. Léo Mahieu, if not analyzed within 24 hours after collection. \n\nThe Amundsen Sea is the site of some of the biggest phytoplanktonic blooms happening seasonally across the world ocean, and is, therefore, an important zone for carbon fixation and export. Yet, uncertainty remains about the processes fueling this bloom, notably for iron. The Amundsen Sea is characterized by shallow depth allowing for connectivity between sediment resuspension and phytoplankton iron supply, and by one of the higher rates of the sea-ice melt rate observed on the Antarctic continent. This dataset is the first one to present iron-binding ligand characteristics in samples deeper than 300 m in the Amundsen Sea, and allows us to report on the impact of sediment resuspension, ice melting, and biological productivity on iron-binding ligand characteristics and on their role in transporting iron in the Amundsen Sea.\n\ncdm_data_type = Other\nVARIABLES:\nCRUISE (unitless)\nSAMPLE_ID (unitless)\nSTATION (unitless)\nDATE (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nPLATFORM (unitless)\n... (44 more variables)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_994890_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_994890_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_994890_v1/index.htmlTable | https://osprey.bco-dmo.org/dataset/994890
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_994890_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_994890_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_994890_v1 | |||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_792817 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_792817.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_792817/ | public | [Lagrangian Trace Metal Concentrations] - Surface and profile concentrations of trace metals and radionuclides near Station ALOHA (Center for Microbial Oceanography: Research and Education) | Trace element water samples from KM1513 were collected with the MIT Automated Trace Element (ATE) sampler, deployed with a teflon-coated wire from the ship\\u2019s deck for surface water samples (collected at roughly 10 m depth), and with the ATEs attached to PVC \\u201cVanes\\u201d designed to prevent contamination from the ship\\u2019s steel wire for samples collected at greater depth. Samples were filtered at 0.4 \\u03bcm immediately after collection through polycarbonate track etched filters (Nucleopore) into 250 mL HDPE bottles and acidified to 0.012 M hydrochloric acid (ultrapure by quadruple distillation in a Vycor still; ~pH 2) at sea. Sampling and filtration followed published protocols used previously at Station ALOHA, for direct comparison (Fitzsimmons et al., 2015). These casts mostly aligned with Niskin cast station locations, but in some cases did not.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nSample_Time (unitless)\ndepth (m)\nUnit_Cast_Niskin (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nMn_D_CONC (nanomole per kilogram (nmole/kg))\nMn_D_CONC_ERROR (nanomole per kilogram (nmole/kg))\nFe_D_CONC (nanomole per kilogram (nmole/kg))\nFe_D_CONC_ERROR (nanomole per kilogram (nmole/kg))\nCo_L_CONC (picomole per kilogram (pmole/kg))\nCo_L_CONC_ERROR (picomole per kilogram (pmole/kg))\nNi_D_CONC (nanomole per kilogram (nmole/kg))\nNi_D_CONC_ERROR (nanomole per kilogram (nmole/kg))\nCu_D_CONC (nanomole per kilogram (nmole/kg))\nCu_D_CONC_ERROR (nanomole per kilogram (nmole/kg))\nZn_D_CONC (nanomole per kilogram (nmole/kg))\nZn_D_CONC_ERROR (nanomole per kilogram (nmole/kg))\n... (15 more variables)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_792817_fgdc.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_792817/index.htmlTable | https://www.bco-dmo.org/dataset/792817
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_792817.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_792817&showErrors=false&email= | BCO-DMO | bcodmo_dataset_792817 |