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_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 | |||
| log in | [ISIIS Environmental Data] - Environmental sensor data from an underwater imaging system (ISIIS-3) collected during R/V Langseth cruise MGL2207 July 20-28 2022 and R/V Sally Ride cruise SR2317 August 10-20 2023 in the Northern California Current (Collaborative Research: Plankton size spectra and trophic links in a dynamic ocean) | During July 20-28 2022 and August 10-20 2023 an underwater imager (In Situ Ichthyoplankton Imaging System 3, ISIIS-3) was deployed from the R/V Langseth and R/V Sally Ride, respectively. The ISIIS-3 deployments were carried out from these R/Vs in the northern California Current by a team affiliated with Oregon State University, the University of Oregon, and Portland State University.\n\nThe ISIIS-3 was equipped with two line scan cameras for collecting plankton imagery in addition to six environmental sensors.\n\nThis dataset contains the processed and quality controlled merged environmental data from the ISIIS imager on this cruise, consisting of temperature, conductivity, pressure, depth, salinity, fluorescence, oxygen, pH, photosynthetically active radiation, and chlorophyll a. Latitude, longitude, date, time, imager horizontal/vertical speeds, and altitude are also included in the dataset. Data were collected on six cross-shelf transects ranging geographically from the border of California and Oregon to southern Washington. Two transects, one following the Newport Hydrographic Line and the other near Gray's Harbor, Washington, were 70 nautical miles (~135 km) in length. The four others (near the Columbia River, Cape Meares, Heceta Bank, and the Rogue River) were 40 nautical miles (~73 km). ISIIS was towed continuously in an undulating motion (“tow-yos”) between 0-100m depth, or within 2-5m of the seafloor where the bottom depth was less than 100m. Data were streamed on to the ship in real time using a fiber optic oceanographic cable and written into millisecond time-stamped data files for each sensor. Sensor data files from ISIIS-3, along with latitude and longitude data from ship data streams, were merged using Python scripts into a final dataset based on the millisecond time stamps of the sensors and GPS streams.\n\ncdm_data_type = Other\nVARIABLES:\nDateTime (Time, unitless)\nCruise_ID (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nTemperature (degrees Celsius)\nConductivity (Siemens per meter (Siemens/m))\nPressure (decibars (dBar))\n... (25 more variables)\n | BCO-DMO | bcodmo_dataset_942686_v1 |