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BCO-DMO ERDDAP
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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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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
| 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_969121_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_969121_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_969121_v1/ | public | [N2O isotopes in the Southern Benguela Upwelling System, February 2017] - Nutrient, CTD Profile, and Nitrous oxide data from the Southern Benguela Upwelling System (Integrated Environmental Programme, February 2017) (Collaborative Research: Exploring the dynamics of nitrous oxide in the Southern Benguela Upwelling System) | This dataset includes the CTD profile data, nutrients, and N2O concentration and isotope data for the 2017 IEP (Integrated Ecosystem Programme) off the west coast of South Africa in the Southern Benguela Upwelling system, on board the R/V Mirabilis. Data were collected using the following instruments: a rosette equipped with Sea-Bird SBE 911 CTD and oxygen (Sea-Bird SBD 43) sensors and 12 6-liter Niskin bottles, a Lachat QuickChem® flow injection auto-analysis (FIA) platform, a Turner Designs Trilogy fluorometer equipped with a UV module, and a Gas Chromatography (GC)-IRMS analyser. Low oxygen zones are hotspots for N2O production. We assessed the mechanisms of N2O production using isotope data in the Southern Benguela Upwelling System. Measurements took place in the Marine Biogeochemistry Lab at the University of Cape Town and the Bourbonnais Lab at the University of South Carolina.\n\ncdm_data_type = Other\nVARIABLES:\nCruise_ID (unitless)\nStation_ID (unitless)\ntime (Iso_datetime_gmt, seconds since 1970-01-01T00:00:00Z)\nDate (unitless)\ntime_unitless (Time, unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nBottom_depth (meters (m))\nPressure (decibars (db))\ndepth (m)\nTemperature (degrees Celsius)\nSalinity (practical salinity units (PSU))\nOxygen_mL_L (milliliters per liter (mL/L))\nOxygen_umol_kg (micromole per kg)\nNitrate (micromolar (uM))\nNitrite (micromolar (uM))\nPhosphate (micromolar (uM))\nSilicate (micromolar (uM))\n... (7 more variables)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_969121_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_969121_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_969121_v1/index.htmlTable | https://osprey.bco-dmo.org/dataset/969121
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_969121_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_969121_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_969121_v1 |