Accessing BCO-DMO data
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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_957527_v2 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_957527_v2.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_957527_v2/ | public | [Open cell and single-step titration method comparison] - Open cell and single-step method for total alkalinity titrations from samples collected on R/V Mirai cruises MR23-06C and MR23-07 in the North Pacific and Western Arctic from September to November 2023 (US GEOTRACES GP17-OCE and GP17-ANT: Inorganic Carbon Cycling in the South Pacific and Southern Oceans by Direct Measurement) | Duplicate samples were collected for total alkalinity on two cruises in 2023 aboard the R/V Mirai (MR23-06C and MR23-07) in order to compare two different methods of total alkalinity titrations: the open cell with non-linear least squares fitting and single step with spectrophotometric endpoint detection. Measurements of dissolved inorganic carbon and pH on the total scale were also made as quality control checks. GLODAPv2 hinted at a potential offset between laboratories in the Pacific Ocean. We hypothesized that if non-negligible amounts of organic alkalinity were present, the different methods could be titrating different amounts leading to differences between the methods. The results show that any offset is within the uncertainty of the analytical precision and presence of organic alkalinity in open ocean waters remains inconclusive.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nsample_ID (unitless)\nStation (unitless)\nCast (unitless)\nNiskinBottle_No (unitless)\nDate (unitless)\ntime_unitless (Time, unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCTD_Salinity (unitless)\nCTD_Salinity_flag (unitless)\nBottle_Salinity (unitless)\nBot_Sal_flag (unitless)\nCTD_Pressure (decibars (db))\nTotal_Alkalinity_Single_Step_method (micromoles per kilogram of seawater (umol/kg_sw))\nTotal_Alkalinity_Single_Step_Method_flag (unitless)\nFinal_pHt_for_Single_Step_method_TA (total scale)\nTotal_Alkalinity_Open_Cell_Method (micromoles per kilogram of seawater (umol/kg_sw))\n... (31 more variables)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_957527_v2_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_957527_v2_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_957527_v2/index.htmlTable | https://osprey.bco-dmo.org/dataset/957527
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_957527_v2.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_957527_v2&showErrors=false&email= | BCO-DMO | bcodmo_dataset_957527_v2 | |||
| log in | [Shoreline Grab and Autosampler Samples after Lahaina Wildfires 2023-2024] - Water quality parameters from discrete shoreline and transect sampling in West Maui (Lahaina area), Hawaiʻi, following the Lahaina Wildfires, Aug 2023 to Oct 2024 (RAPID: Coral reef stress responses to an urban fire) | These data include values for various coastal water parameters: carbon chemistry (total alkalinity, dissolved inorganic carbon, and dissolved organic carbon), trace metals, metabolomic composition, nutrient concentrations (NOx, NO2, PO4, SiO2, and NH3), Fluorescence Dissolved Organic Matter, and flow cytometry. Water samples were all collected in West Maui in and around reef systems that were within and adjacent to the burn zone of the Lahaina fires. These samples were collected by boat transect, shoreline grab sampling, and autonomous sampling devices. Some autonomous sampling data from before the fire event are also included. The aim of these data is to understand the effects on coral reef health in response to the urban fires that occurred in August of 2023. Samples were collected by a collaborative effort of scientists Dr. Andrea K Kealoha, Dr. Craig Nelson, Dr. Eileen Nalley, and Dr. Nicholas Hawco.\n\ncdm_data_type = Other\nVARIABLES:\ndate (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_Local_HST (unitless)\ncollection (unitless)\nuniqueID (unitless)\nstation (unitless)\nsampling_trip (unitless)\ndescription (unitless)\ntide (unitless)\nstation_platform (unitless)\nstation_category (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nmetal (unitless)\nfcm (unitless)\nfdom (unitless)\nhlb (unitless)\ndoc (unitless)\n... (73 more variables)\n | BCO-DMO | bcodmo_dataset_982204_v1 | ||||||||||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986798_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986798_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_986798_v1/ | public | [Tapajos River DOM] - Dissolved organic matter, water quality, water isotopes, and discharge measurements of the Tapajós River, Brazil from 2016-2023 (RAPID: El Nino Event Impacts on Organic Matter Export and Composition in the Amazon River) | This data includes near monthly measurements of discharge, water isotopes, water quality, and dissolved organic matter characteristics from the Tapajós River, Brazil between 2016-2023. Dissolved organic matter was characterized via dissolved organic carbon quantification, optical spectroscopy, fluorescence spectroscopy, parallel factor analysis modeling (PARAFAC), and Fourier transform-ion cyclotron resonance mass spectrometry. Pairing geochemical and molecular-level data reveal both seasonal and inter annual patterns of carbon export to the Amazon River system and processing within the river network.\n\ncdm_data_type = Other\nVARIABLES:\nSample_Name (unitless)\nDate (unitless)\nDate_ISO (unitless)\nlatitude (Lat_dd, degrees_north)\nlongitude (Lon_dd, degrees_east)\nDischarge_on_sampling_day (cubic meters per second (m3 s-1))\nMean_monthly_discharge (cubic meters per second (m3 s-1))\nMean_daily_air_temp (degrees Celsius (degC))\nDaily_precipitation (millimeters (mm))\nMean_monthly_air_temp (degrees Celsius (degC))\nMonthly_precipitation (millimeters (mm))\nDOC (milligrams per liter (mg L-1))\nFI (unitless)\na350 (per meter (m-1))\nS275_to_295 (per nanometer (nm-1))\nS350_to_400 (per nanometer (nm-1))\nSUVA254 (liters per milligram carbon per meter (L mg C-1 m-1))\nperc_CHO (percent (%))\nperc_CHON (percent (%))\nperc_CHOS (percent (%))\nperc_CHONS (percent (%))\n... (32 more variables)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_986798_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_986798_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_986798_v1/index.htmlTable | https://osprey.bco-dmo.org/dataset/986798
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_986798_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_986798_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_986798_v1 |