Accessing BCO-DMO data
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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_712367 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_712367.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_712367/ | public | [Acropora cervicornis buoyant weight 2016] - Acropora cervicornis growth rates under different pH and temperature treatments from experiments at Summerland Key, Florida in September of 2016 (CAREER: Applying phenotypic variability to identify resilient Acropora cervicornis genotypes in the Florida Keys) | This dataset contains Acropora cervicornis buoyant weight measurements from different pH and temperature treatments. The experiments were conducted in tanks at Summerland Key, Florida (24.6616,-81.4538) with corals from a nursery located near Looe Key Reef (24.5636, -81.2786). Experiments were conducted from July to September of 2016.\n\ncdm_data_type = Other\nVARIABLES:\ntank (unitless)\npH (unitless)\nTemp (Temperature, Celsius)\ngenotype (unitless)\nJuly_mass (grams)\nAugust_mass (Wind Speed Of Gust, grams)\nSeptember_mass (grams)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_712367/index.htmlTable | https://www.bco-dmo.org/dataset/712367
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_712367.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_712367&showErrors=false&email= | BCO-DMO | bcodmo_dataset_712367 | |||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_712377 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_712377.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_712377/ | public | [Acropora cervicornis calcification rates] - Acropora cervicornis growth rates under different pH and temperature treatments from experiments at Summerland Key, Florida in September of 2016 (CAREER: Applying phenotypic variability to identify resilient Acropora cervicornis genotypes in the Florida Keys) | This dataset contains Acropora cervicornis calcification data from experiments conducted in tanks at Summerland Key, Florida (24.6616,-81.4538) between 2016-09-02 and 2016-09-10 with corals from a nursery located near Looe Key Reef (24.5636, -81.2786).\n\ncdm_data_type = Other\nVARIABLES:\npH (unitless)\nTemp (Temperature, Celsius)\nTank (unitless)\nChamber (unitless)\nGenotype (unitless)\nCycle (unitless)\nCalcification (micromoles of calcium carbonate per centimeter squred per hour (CaCO3/cm2/h))\nDate (unitless)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_712377/index.htmlTable | https://www.bco-dmo.org/dataset/712377
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_712377.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_712377&showErrors=false&email= | BCO-DMO | bcodmo_dataset_712377 | |||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_712366 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_712366.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_712366/ | public | [Acropora cervicornis photosynthesis and respiration rates] - Acropora cervicornis photosynthesis and respiration rates under different pH and temperature treatments from experiments at Summerland Key, Florida in September of 2016 (CAREER: Applying phenotypic variability to identify resilient Acropora cervicornis genotypes in the Florida Keys) | This dataset contains oxygen change rates under dark and light conditions from 12 Acropora cervicornis genotypes previously exposed to different pH and temperature treatments. The coral surface area during photosynthesis and respiration experiments is included. The experiments were conducted in tanks at Summerland Key, Florida (24.6616,-81.4538) between 2016-09-02 and 2016-09-10 with corals from a nursery located near Looe Key Reef (24.5636, -81.2786).\n\ncdm_data_type = Other\nVARIABLES:\ndate (unitless)\nO2_rate_dark (micromoles of oxygen per hour (umol/h))\nO2_rate_light (micromoles of oxygen per hour (umol/h))\ngenotype (unitless)\ntank (unitless)\ntemp (Temperature, Celsius)\npH (unitless)\narea (centimeters squared (cm2))\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_712366/index.htmlTable | https://www.bco-dmo.org/dataset/712366
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_712366.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_712366&showErrors=false&email= | BCO-DMO | bcodmo_dataset_712366 | |||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_936073_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_936073_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_936073_v1/ | public | [Alkalinity and dissolved inorganic carbon (DIC) from water samples collected at coral reefs in the equatorial central Pacific in 1973, 2012, 2015, and 2018] - Alkalinity and dissolved inorganic carbon (DIC) from sea water samples collected at coral reefs from equatorial central Pacific in 1973, 2012, 2015, and 2018 (The Biophysics of Coral Reef Resilience: hydrodynamic and ecological drivers of coral survival under extreme heat) | This dataset includes total alkalinity (TA) and dissolved inorganic carbon (DIC), along with water temperature and salinity, to characterize the carbonate chemistry in the vicinity of 5 coral reef islands in the equatorial central Pacific. Discrete water samples were collected from June 7 – 18, 2012 and from September 5 – 26, 2015 at Kanton (2.8°S, 171.7°W), Enderbury (3.1°S, 171.1°W), Rawaki (3.7°S, 170.7°W) and Nikumaroro (4.7°S, 174.5°W), and from May 5 – 23, 2018 at Kanton, Rawaki, Nikumaroro, and Orona (4.5°S, 172.2°W) and at several open ocean sites. Some of the 2012 and 2015 water samples were also analyzed for nitrate, ammonium, phosphate and silicate concentrations.\nAlso included in this dataset are TA, pH, DIC, salinity, and water temperature from samples collected from November 27 to December 4, 1973 at Kanton Island by Smith, S. V., and P. L. Jokiel (1978).\n\ncdm_data_type = Other\nVARIABLES:\ntime (Datetime_utc, seconds since 1970-01-01T00:00:00Z)\nDatetime_local (unitless)\nlatitude (Lat_n, degrees_north)\nlongitude (Lon_e, degrees_east)\nSite_description (unitless)\ndepth (m)\nTemperature (degrees Celsius)\nSalinity (practical salinity unit, psu)\nTA (micromoles/kilogram)\nDIC (micromoles/kilogram)\nNitrate (micromoles/liter)\nAmmonium (micromoles/liter)\nAmmonium_flag (dimensionless)\nPhosphate (micromoles/liter)\nSilicate (micromoles/liter)\npH (unitless)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_936073_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_936073_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_936073_v1/index.htmlTable | https://www.bco-dmo.org/dataset/936073
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_936073_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_936073_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_936073_v1 | |||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925689_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925689_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_925689_v1/ | public | [Allometric scaling of calcification for Mytilus californianus] - Allometric scaling of calcification data for Mytilus californianus from 2021-2022 (OA decoupling project) (Invertebrate calcification and behavior in seawater of decoupled carbonate chemistry) | Calcification rates of mussels spanning a range of sizes. These data were used to determine a biomass scaling function for the main incubation dataset (Incubation data for Mytilus californianus calcification).\n\ncdm_data_type = Other\nVARIABLES:\nspecies (unitless)\nAphiaID (unitless)\nLSID (unitless)\ndate_local (unitless)\nstart_time_local (unitless)\nISO_Start_DateTime_UTC (unitless)\nduration (hours (h))\nsalinity (PSU)\ntemperature (degrees Celcius (c))\ncalcification (umol hr^-1 g^-0.71592)\ntissue_mass (grams (g))\nshell_mass (grams (g))\nwet_mass (grams (g))\nTA (umol kg-1)\nph (unitless)\ndo (umol kg-1)\nci (umol kg-1)\nincubation_water_mass (kilograms (kg))\nbyssal_threads (threads hr-1)\ndelta_ta (umol kg-1)\ndelta_nh3 (umol kg-1)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_925689_v1/index.htmlTable | https://www.bco-dmo.org/dataset/925689
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_925689_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_925689_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_925689_v1 | |||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_811853 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_811853.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_811853/ | public | [Buoyant weight 2017] - Acropora cervicornis buoyant weight measurements under different pH and temperature treatments from experiments at Summerland Key, Florida from July to September 2017 (CAREER: Applying phenotypic variability to identify resilient Acropora cervicornis genotypes in the Florida Keys) | This dataset contains Acropora cervicornis buoyant weight measurements from different pH and temperature treatments. The experiments were conducted in tanks at Summerland Key, Florida (24.6616,-81.4538) July to September of 2017.\n\ncdm_data_type = Other\nVARIABLES:\nTank (unitless)\nGenotype (unitless)\nDate (unitless)\npH (unitless)\nTemp (Temperature, unitless)\nWeight_July_g (grams (g))\nWeight_Aug_g (grams (g))\nWeight_Sept_g (grams (g))\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_811853/index.htmlTable | https://www.bco-dmo.org/dataset/811853
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_811853.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_811853&showErrors=false&email= | BCO-DMO | bcodmo_dataset_811853 | |||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_876729_v2 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_876729_v2.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_876729_v2/ | public | [Carbon Geochemistry Data] - Concentrations, d13C and D14C data for DOC and DIC in fluids collected from North Pond Cork Observatories U1382A and U1383C and from bottom seawater in 2012, 2014 and 2017. (Collaborative Research: A multidimensional approach to understanding microbial carbon cycling beneath the seafloor during cool hydrothermal circulation) | Carbon geochemistry is presented for subsurface fluids collected from Cork Observatories U1382A and U1383C installed on the Mid-Atlantic Ridge at North Pond as well as from bottom seawater. Data are summarized from fluids collected in 2012, 2014 and 2017. Parameters measured or calculated are pH, total alkalinity, DIC concentrations, d13C and D14C values and DOC concentrations, d13C and D14C values.\n\nUnderstanding carbon cycling in cool oceanic crust at sites like North Pond contributes to quantifying fluxes of carbon from hydrothermal systems to the deep ocean. These data assess the evolution of carbon reservoirs in fluids that are isolated from the crust and were collected by Dr. Sunita Shah Walter at the University of Delaware\n\ncdm_data_type = Other\nVARIABLES:\nsampling_year (unitless)\nlocation (unitless)\nlatitude_unitless (Latitude, degrees_north)\nlongitude_unitless (Longitude, degrees_east)\nlatitude (Latitude_dd, degrees_north)\nlongitude (Longitude_dd, degrees_east)\ntime (Sample_date, seconds since 1970-01-01T00:00:00Z)\nDIC_conc (mmol/kg (millimolar))\nDIC_conc_error (mmol/kg (millimolar))\nTotal_Alk (mmol/kg (millimolar))\npH (unitless)\ndelta_13C_DIC (parts per thousand, per mil (‰))\ndelta_13C_DIC_error (parts per thousand, per mil (‰))\ndelta_14C_DIC (parts per thousand, per mil (‰))\ndelta_14C_DIC_error (parts per thousand, per mil (‰))\nDIC_NOSAMS_accession_number (unitless)\nDOC_conc (umol/kg (micromolar))\ndelta_13C_DOC_original (parts per thousand, per mil (‰))\n... (9 more variables)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_876729_v2_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_876729_v2_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_876729_v2/index.htmlTable | https://www.bco-dmo.org/dataset/876729
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_876729_v2.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_876729_v2&showErrors=false&email= | BCO-DMO | bcodmo_dataset_876729_v2 | |||
| log in | [Cocos Ridge Porewater Data] - In situ porewater data from the Cocos Ridge (Eastern Equatorial Pacific) acquired during cruise SR2113 between November - December 2021 (Collaborative Research: New approaches to study calcium carbonate dissolution on the sea floor and its impact on paleo-proxy interpretations) | These data include porewater measurements with a focus on carbonate chemistry from the Cocos Ridge in the Eastern Equatorial Pacific. This cruise was aboard the R/V Sally Ride between 2021-11-20 and 2021-12-20. Instruments used were a novel in situ porewater sampler, spectrophotometer, Liaison autosampler coupled to a Picarro cavity ring-down spectrometer, Inductively Coupled Plasma - Mass Spectrometer, and Inductively Coupled Plasma - Optical Emission Spectrometer. These data contributed to our understanding of the carbonate chemistry system in this region, particularly regarding carbonate dissolution in deep-sea sediments. Xuewu Liu and Kalla Fleger, members of the Robert Byrne lab at University of South Florida, measured alkalinity and pH; Nick Rollins and Jaclyn Cetiner, members of the Will Berelson lab at University of Southern California, measured DIC and delta 13C of DIC; Matt Quinan of the Berelson lab measured silica; Jaclyn Cetiner (USC) and Frank Pavia (Caltech) measured manganese. Jaclyn Cetiner (USC) and Anna Waldeck (Northwestern) measured calcium and strontium.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nDeployment (unitless)\nDate (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSample_ID (unitless)\nWater_Column_Depth (meters (m))\nSediment_Depth (centimeters (cm))\nAlkalinity (micromoles per kilogram (umol/kg))\npH (total pH scale)\nSilica (micromolar (uM))\nDIC (micromoles per kilogram (umol/kg))\nd13C_DIC (per mil (0/00))\nManganese (micromoles per kilogram (umol/kg))\nCalcium (millimoles per kilogram (mmol/kg))\nStrontium (micromoles per kilogram (umol/kg))\nOmega_calcite (unitless)\n | BCO-DMO | bcodmo_dataset_925487_v2 | ||||||||||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925367_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925367_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_925367_v1/ | public | [Cocos Ridge Water Column Data] - Water column data from the Cocos Ridge (Eastern Equatorial Pacific) acquired during cruise SR2113 between November - December 2021 (Collaborative Research: New approaches to study calcium carbonate dissolution on the sea floor and its impact on paleo-proxy interpretations) | These data include water column parameters and carbonate chemistry measurements from the Cocos Ridge in the Eastern Equatorial Pacific. This cruise was aboard the R/V Sally Ride between 2021-11-20 and 2021-12-20. Instruments used were a CTD profiler, spectrophotometer, and Picarro cavity ring-down spectrometer. These data contributed to our understanding of the carbonate chemistry system in this region, particularly the water depth location of the calcite saturation horizon. Xuewu Liu and Kalla Fleger, members of the Robert Byrne lab at University of South Florida, measured alkalinity and pH; Nick Rollins and Jaclyn Cetiner, members of the Will Berelson lab at University of Southern California, measured DIC and delta 13C of DIC.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nCast (unitless)\nDate (unitless)\nStart_Time (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLatitude (degrees_north)\nlongitude (degrees_east)\nWater_Column_Depth (meters (m))\nPressure (decibars (db))\nTemperature (degrees Celcius (C))\nSalinty (parts per thousand (ppt))\nOxygen (micromoles per kilogram (umol/kg))\nAlkalinity (micromoles per kilogram (umol/kg))\npH (total pH scale)\nDIC (micromoles per kilogram (umol/kg))\nd13C_DIC (per mil (0/00))\nOmega_calcite (unitless)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_925367_v1/index.htmlTable | https://www.bco-dmo.org/dataset/925367
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_925367_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_925367_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_925367_v1 | |||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925714_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925714_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_925714_v1/ | public | [Control incubation data during calcification experiments] - Control incubation data during Mytilus californianus calcification experiments from 2020 to 2022 (OA decoupling project) (Invertebrate calcification and behavior in seawater of decoupled carbonate chemistry) | These data support Incubation data for Mytilus californianus calcification. These incubations did not contain mussels and demonstrate that background alkalinity changes during experimental modules were minor. These data support Incubation data for Mytilus californianus calcification. These data demonstrate that background alkalinity changes during experimental modules were minor.\n\ncdm_data_type = Other\nVARIABLES:\nspecies (units)\nAphiaID (unitless)\nLSID (unitless)\nmodule (unitless)\ndate_local (unitless)\nstart_time_local (unitless)\nISO_start_DateTime_UTC (unitless)\nduration (hours (h))\nsalinity (PSU)\ntemperature (degrees Celcius (c))\nTA (umol kg-1)\nph (unitless)\nhco3 (umol kg-1)\nco3 (umol kg-1)\nomega (unitless)\npco2 (uatm)\ndic (umol kg-1)\ndo (umol kg-1)\nincubation_water_mass (kilograms (kg))\ndelta_ta (umol kg-1)\ndelta_nh3 (umol kg-1)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_925714_v1/index.htmlTable | https://www.bco-dmo.org/dataset/925714
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_925714_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_925714_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_925714_v1 | |||||
| log in | [Coral physiological measurements] - Montipora capitata and Porites compressa Physiological Measurements for Experimental Corals and Parent Colonies from 2014-2015 (RAPID Hawaii project) (Will corals recover from bleaching under ocean acidification conditions?) | Physiological data for Montipora capitata and Porites compressa: endosymbiont cell density (cells cm-2), Contribution of Total Carbon to Animal Respiration (CTAR, %), calcification (mg day-1 cm-2), biomass (g cm-2), total lipids (J gdw-1), photosynthesis and respiration (µmol hr-1 cm-2), Contribution of Zooxanthellae (Symbiodiniaceae) to Animal Respiration (CZAR, %), feeding rate (brine shrimp hr-1 cm-2), and Contribution of Heterotrophy to Animal Respiration (CHAR, %). Measurements for experimental corals were taken from one of three time points (November 2015, June 2014, or December 2015).\n\ncdm_data_type = Other\nVARIABLES:\nSpecies (unitless)\nCollection_site (unitless)\nlatitude (Latitude_decimal_degrees, degrees_north)\nlongitude (Longitude_decimal_degrees, degrees_east)\nLat (degrees_north)\nLong (degrees_east)\nColony (unitless)\nSample_ID (unitless)\nHealth_status (unitless)\npH (unitless)\nFeeding_status (unitless)\nTreatment (unitless)\nTank (unitless)\nTime_point (unitless)\nEndo_density (cells cm-2)\nCalc (mg day-1 cm-2)\nTotal_biomass (g cm-2)\nTotal_lipids (J gdw-1)\nGross_P (umol O2 min-1 cm-2)\nLEDR (unitless)\nCZAR (unitless)\nFR (Brine shrimp hr-1 cm-2)\nCHAR (unitless)\nCTAR (unitless)\n | BCO-DMO | bcodmo_dataset_914498_v1 | ||||||||||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_753017 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_753017.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_753017/ | public | [Dendraster_Grazing_OA_Expt2017] - Experimental grazing rates of sand dollar larvae (Dendraster excentricus) on algae (Dunaliella tertiolecta) under different ocean acidification conditions, July 2017 (RUI: Will climate change cause 'lazy larvae'? Effects of climate stressors on larval behavior and dispersal) | Experimental grazing rates of sand dollar larvae (Dendraster excentricus) on algae (Dunaliella tertiolecta) under different ocean acidification conditions, July 2017.\n\ncdm_data_type = Other\nVARIABLES:\ntemp_c (degrees Celcius)\npH (unitless)\njar_type (unitless)\nreplicate (unitless)\ncount (unitless)\ncells (algae cells)\nsquares (squares)\ncell_concentration (algae cells per milliliter (#/mL))\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_753017/index.htmlTable | https://www.bco-dmo.org/dataset/753017
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_753017.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_753017&showErrors=false&email= | BCO-DMO | bcodmo_dataset_753017 | |||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_911008_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_911008_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_911008_v1/ | public | [Diatom cultures used to generate DNA reference library] - Diatom cultures used to generate DNA reference library from samples collected from sites in Alpena, Michigan and Palm Coast, Florida between July 2021 & 2022. (Collaborative Research: RUI: OCE-BO: Tango in the Mat World: Biogeochemistry of diurnal vertical migration in microbial mats of Lake Huron’s sinkholes) | These data are the information for each of the cultures generated from samples collected from three sites in Alpena, Michigan, one site in Monroe, Michigan, and one site in Palm Coast, Florida. Data are for cultures sequenced using Sanger sequencing and include taxonomic identification, location and water parameter information from samples used to develop the cultures, and growth medium.\nEach of these cultures was developed from high-sulfur, low-oxygen environments formed by underwater sinkholes and springs that create extreme habitats populated by microbial mat communities. Our study investigated previously undescribed diatom diversity in these habitats. Sequences from these cultures contribute to tying molecular data to morphologically identified isolates, providing a bridge between these two data types that can be used to improve metabarcoding analyses.\n\ncdm_data_type = Other\nVARIABLES:\nNCBI_Accession (unitless)\nCulture_ID (unitless)\nGenus (unitless)\nSpecies (unitless)\nVariety (unitless)\nCollection_ID (unitless)\nMedia (unitless)\nCollection_Date (Month/Day/Year)\nLocation (unitless)\nSample_Type (unitless)\nLat (degrees_north)\nlongitude (Long, degrees_east)\nTemp (Celsius (°C))\nCond (Microsiemens / centimeter (μS/cm))\nTDS (Grams/liter (g/L))\npH (unitless)\nORP (Millivolts (mV))\nNTU (Nephelometric Turbidity Units (NTU))\nODO (Percentage saturation)\n... (6 more variables)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_911008_v1/index.htmlTable | https://www.bco-dmo.org/dataset/911008
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_911008_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_911008_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_911008_v1 | |||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_748383 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_748383.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_748383/ | public | [Doo et al. 2018, Coral Reefs - Mesocosm buoyant weight data] - Calcification of coral from the start and end of experiments under elevated concentrations of temperature and carbon dioxide (Moorea Coral Reef Long-Term Ecological Research site) | Calcification of coral from the start and end of experiments under elevated concentrations of temperature and carbon dioxide.\n\ncdm_data_type = Other\nVARIABLES:\nCoral_number (unitless)\npH (unitless)\nTemperature (unitless)\nCrab (unitless)\nGrowth (grams)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_748383/index.htmlTable | https://www.bco-dmo.org/dataset/748383
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_748383.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_748383&showErrors=false&email= | BCO-DMO | bcodmo_dataset_748383 | |||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_779387.subset | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_779387 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_779387.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_779387/ | public | [Experiment Metrics] - Experiment details for invertebrate larvae electrophysiology (Vision-mediated influence of low oxygen on the physiology and ecology of marine larvae) | Experiment Details for invertebrate larvae electrophysiology\n\ncdm_data_type = Other\nVARIABLES:\nSpecies (unitless)\nExperiment_Name (unitless)\nNormoxia_Time (minute (min))\nO2_Decay (minute (min))\nNormoxia_O2 (micromole per liter (umol/L))\nLow_O2 (micromole per liter (umol/L))\nO2_Change (micromole per liter (umol/L))\nO2_Change_Time (micromole per liter per minute (umol/l per min))\nLow_O2_Min (minute (min))\nTotal_Exp_Time (hour (hr))\npH (unitless)\nTemp_Max (degrees Celsius (C)\nTemp_Min (degrees Celsius (C)\nTemp_Avg (degrees Celsius (C)\nStimulus_Irradiance (mol photons per second and square meter (mol m-2s-1))\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_779387/index.htmlTable | https://www.bco-dmo.org/dataset/779387
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_779387.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_779387&showErrors=false&email= | BCO-DMO | bcodmo_dataset_779387 | ||||
| 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_817221 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_817221.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_817221/ | public | [Geneflow Samples] - Brine samples from both sea ice and cryopeg near Utqiaġvik, Alaska, USA from 2017-05-08 to 2018-05-10 (Understanding How Virus Infection Affects Gene Flow and Microbial Evolution in Extreme Polar Environments) | Brine samples were collected from both sea ice and cryopeg near Utqia\\u0121vik, Alaska, USA. Snow and ice thickness along with sackhole core depth information are available for sea ice samples. Bacterial and viral abundances along with temperature, pH, salinity, inorganic nutrients, organic nutrients, EPS, and water isotopes were measured for select samples.\n\ncdm_data_type = Other\nVARIABLES:\nsheet_name (unitless)\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\nSample_type (unitless)\nSnow_thickness (centimeters (cm))\nIce_thickness (centimeters (cm))\nSackhole_Ice_Borehole_depth (centimeters (cm))\nTemperature (degrees Celsius (C))\npH (unitless)\nSalinity (parts per thousand (ppt))\nBacterial_abundance (cells per milliliter (cells/mL))\nVLP_abundance (virus like particle per milliliter (VPL/mL))\nPON_ug_N_mL (PON Ug N M L, micrograms of Nitrogen per milliliter (µg N/mL))\nPOC_ug_C_mL (POC Ug C M L, micrograms of Carbon per milliliter (µg C/mL))\ndEPS (D EPS, g glu-eq/mL)\npEPS (P EPS, g glu-eq/mL)\nChl_a (Concentration Of Chlorophyll In Sea Water, milligrams per meter cubed (mg/m3))\nChl_a_Phaeo_ratio (Concentration Of Chlorophyll In Sea Water, unitless)\nDOC_uM_C (DOC U M C, micromole Carbon (µM C))\nPO4 (Mass Concentration Of Phosphate In Sea Water, micromole (µM))\nSiO4 (Si O4, micromole (µM))\nNO3 (Mole Concentration Of Nitrate In Sea Water, micromole (µM))\n... (7 more variables)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_817221_fgdc.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_817221/index.htmlTable | https://www.bco-dmo.org/dataset/817221
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_817221.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_817221&showErrors=false&email= | BCO-DMO | bcodmo_dataset_817221 | ||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_811896 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_811896.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_811896/ | public | [Imaging Pulse Amplitude Modulator Fluorometer 2017] - Imaging pulse amplitude modulator fluorometer data collected from Acropora cervicornis under different pH and temperature treatments from experiments at Summerland Key, Florida from July to September 2017 (CAREER: Applying phenotypic variability to identify resilient Acropora cervicornis genotypes in the Florida Keys) | Imaging pulse amplitude modulator fluorometer data collected from Acropora cervicornis under different pH and temperature treatments from experiments at Summerland Key, Florida (24.6616,-81.4538) from July to September 2017.\n\ncdm_data_type = Other\nVARIABLES:\nTank (unitless)\nGenotype (unitless)\npH (unitless)\nTemp (Temperature, unitless)\nmYield (M Yield, unitless)\nmETR (M ETR, umol electrons m–2 s–1)\nalpha (change in ETR over increasing values of PAR)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_811896/index.htmlTable | https://www.bco-dmo.org/dataset/811896
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_811896.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_811896&showErrors=false&email= | BCO-DMO | bcodmo_dataset_811896 | |||||
| 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 | ||||||||||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_930084_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_930084_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_930084_v1/ | public | [Kāneʻohe Bay Time-series - microbial community] - Flow cytometry, 16S rRNA gene amplicons, chlorophyll a, and surface seawater measurements taken between August 2017 to June 2019 Kāneʻohe Bay, Oʻahu, Hawaiʻi (Population genomics and ecotypic divergence in the most dominant lineage of marine bacteria) | These data include temperature, pH, salinity, chlorophyll a concentrations, cellular abundances of Prochlorococcus, Synechococcus, photosynthetic picoeukaryotes, and heterotrophic bacteria, and 16S ribosomal RNA gene amplicon libraries from 200 surface seawater samples collected as part of the Kāneʻohe Bay Time-series (KByT). Near-monthly sampling of surface seawater was conducted between August 2017 to June 2019 at 10 sites within coastal waters of Kāneʻohe Bay, Oʻahu, Hawaiʻi and in the adjacent offshore. Instruments used were a YSI 6,600 sonde, a Turner 10AU fluorometer, an EPICS ALTRA flow cytometer, and an Illumina MiSeq v2 platform.\n\nThese data characterize the partitioning of microbial communities across sharp physiochemical gradients in surface seawaters connecting nearshore and offshore waters in the tropical Pacific. This study provides evidence for the ecological differentiation of SAR11 marine bacteria across nearshore to offshore waters in the tropical Pacific and further increases our understanding of how SAR11 genetic diversity partitions into distinct ecological units. Data were collected by Sarah J. Tucker, Kelle C. Freel, Elizabeth A. Monaghan, Clarisse E. S. Sullivan, Oscar Ramfelt, Yoshimi M. Rii, and Michael S. Rappé.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\ncollection_date (unitless)\ndepth (m)\nenv_broad_scale (unitless)\nenv_local_scale (unitless)\nenv_medium (unitless)\ngeo_loc_name (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSite_name (unitless)\nchlorophyll_a_ug_per_L (micrograms per Liter)\nph (no unit)\nsalinity (ppt)\n... (21 more variables)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_930084_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_930084_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_930084_v1/index.htmlTable | https://www.bco-dmo.org/dataset/930084
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_930084_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_930084_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_930084_v1 | |||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_930163_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_930163_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_930163_v1/ | public | [Kāneʻohe Bay Time-series - phytoplankton and biogeochemistry] - Biological oceanographic measurements, 16S rRNA gene amplicons and metagenomes from surface seawater taken from August 2017 to June 2021 at sites within and adjacent to Kāneʻohe Bay, Oʻahu, Hawaiʻi (Population genomics and ecotypic divergence in the most dominant lineage of marine bacteria) | These data include temperature, pH, salinity, chlorophyll a concentrations, cellular abundances of Prochlorococcus, Synechococcus, photosynthetic picoeukaryotes, and heterotrophic bacteria,16S ribosomal RNA gene amplicon libraries, metagenomes, inorganic nutrient concentrations, and photosynthetic pigment measurements via high performance liquid chromatography from surface seawater samples collected as part of the Kāneʻohe Bay Time-series (KByT). This dataset reflects near-monthly sampling of surface seawater that was conducted between between August 2017 and June 2021 at 10-12 sites within and adjacent to Kāneʻohe Bay, Oʻahu, Hawaiʻi. Instruments used were a YSI 6,600 sonde, a ProDSS multi-parameter sonde, a Turner 10AU fluorometer, a Beckman Coulter CytoFLEX S flow cytometer, a Seal Analytical AA3 HR Nutrient Autoanalyzer, an Illumina MiSeq v2 platform, and the Illumina NovaSeq 6000.\n\nThese data reveal a remarkably persistent transition in surface ocean biogeochemistry, phytoplankton biomass, and phytoplankton community structure, despite high water exchange and define surface ocean biogeochemical and phytoplankton regimes over space and time across nearshore to offshore waters in the tropical Pacific. These results provide insight into drivers of seasonal and spatial variability of phytoplankton communities. Data were collected and analyzed by Sarah J. Tucker, Yoshimi M. Rii, Kelle C. Freel, Keliʻiahonui Kotubetey, A. Hiʻilei Kawelo, and Kawika B. Winter, Michael S. Rappé.\n\ncdm_data_type = Other\nVARIABLES:\nSampleID (unitless)\nUniversal_Sample_ID (unitless)\nMetagenome (unitless)\nMetagenome_ID (unitless)\nYear (unitless)\nSampling_Order (unitless)\nSeason (unitless)\nMonth (unitless)\nMonth_abb (unitless)\nTime (hh:mm)\n... (68 more variables)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_930163_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_930163_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_930163_v1/index.htmlTable | https://www.bco-dmo.org/dataset/930163
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_930163_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_930163_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_930163_v1 | |||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_940112_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_940112_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_940112_v1/ | public | [Lake Erie Winter Surveys 2023-2024] - Winter survey data from Lake Erie from Mar 2023 to May 2024 (Lake Erie Center for Fresh Waters and Human Health) | This dataset includes winter survey data from Lake Erie collected on SAR Erie Guardian, USCGC Morro Bay, USCGC Neah Bay, CCGS Griffon, CCGS Samuel Risley, MV Vigilant from March 2023 to May 2024. The survey includes environmental observations, physico-chemical data, chlorophyll, total and dissolved nutrients, plankton taxonomic classification, and cell abundance. The Lake Erie Center for Fresh Waters and Human Health is a five-year, multi-institutional effort aimed at understanding the environmental factors and ongoing changes that influence the growth and toxicity of cyanobacterial harmful algal blooms (cHABs) in Lake Erie.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nDeployment (unitless)\nAlternate_Deployment (unitless)\nDate (unitless)\ntime_unitless (Time, unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLake (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nMax_Depth (meters (m))\ndepth (Sample_depth, m)\nAir_Temp (degrees C)\nWater_Temp (degrees C)\nIce_cover (percent (%))\nSnow_cover (percent (%))\nIce_type (unitless)\nIce_thickness (centimeter (cm))\nDO (percent (%))\nDO2 (mg/L)\npH (unitless (pH scale))\nSp_Cond (microSiemen per cm (µS cm-1))\n... (37 more variables)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_940112_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_940112_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_940112_v1/index.htmlTable | https://www.bco-dmo.org/dataset/940112
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_940112_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_940112_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_940112_v1 | |||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_941377_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_941377_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_941377_v1/ | public | [Low-pH springs: water samples] - Measured and calculated geochemistry values and uncertainty for water samples taken from the water column of Celestun Lagoon, Yucatan, Mexico in May of 2015 (Calcification in low saturation seawater: What can we learn from organisms in the proximity of low pH; undersaturated submarine springs) | Measured and calculated geochemistry values and uncertainty for water samples taken from the water column of Celestun Lagoon, Yucatan, Mexico in May of 2015.\n\nThis dataset was collected in coordination with the following study (See \"Related Datasets\" section):\n\nIsotopes (δ11B, 87Sr/86Sr, δ18O, δ13C), elemental concentrations (B, Mg, Ca), and carbon content were collected from the foraminifera Ammonia parkinsoniana and sediments in Celestun Lagoon, Yucatan, Mexico in June 2009 and May 2015. Sediment cores were taken with push corers and piston corers. Sampling site were distributed unevenly along a transect along the lagoon. These data were collected to investigate the influence of low-pH groundwater-seawater mixing on the boron isotope pH proxy.\n\ncdm_data_type = Other\nVARIABLES:\nsite (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\ndistance (kilometers (km))\nregion (unitless)\ndate (unitless)\ntime_local (Time, unitless)\nISO_DateTime_UTC (unitless)\ntide (unitless)\nsample (unitless)\ntemperature (degrees Celsius)\nsalinity (practical salinity units (PSU))\npH (total scale)\nDIC (micromoles per kilogram (umol/kg))\nDIC_2sd (micromoles per kilogram (umol/kg))\nTA (micromoles per kilogram (umol/kg))\n... (40 more variables)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_941377_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_941377_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_941377_v1/index.htmlTable | https://www.bco-dmo.org/dataset/941377
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_941377_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_941377_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_941377_v1 | |||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_922037_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_922037_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_922037_v1/ | public | [Measurements of treatment tub seawater conditions: pH and total alkalinity] - pH and total alkalinity measurements of treatment tub seawater during lab experiments conducted in spring 2022. (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) | Ocean acidification (OA) resulting from anthropogenic CO2 emissions is impairing the reproduction of marine organisms. While parental exposure to OA can protect offspring via carryover effects, this phenomenon is poorly understood in many marine invertebrate taxa. We examined how parental exposure to acidified (pH 7.40) versus ambient (pH 7.72) seawater influenced reproduction and offspring performance across six gametogenic cycles (13 weeks) in the estuarine sea anemone Nematostella vectensis. This dataset contains data resulting from measurements of treatment tub seawater conditions, including pH and total alkalinity.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nTreatment (unitless)\npH (Arbitrary on pH scale)\nmV (millivolts (mV))\nSalinity (unitless)\nTemperature (Degrees Celsius)\nTA_1 (umol/kg)\nTA_2 (umol/kg)\nTA_average (umol/kg)\nTA (mol/kg)\nAlkalinity (mol/kg*10^-3)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_922037_v1/index.htmlTable | https://www.bco-dmo.org/dataset/922037
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_922037_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_922037_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_922037_v1 | |||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_659874_v3 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_659874_v3.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_659874_v3/ | public | [Mumford Cove Monitoring Data] - Temperature, pH, DO, and salinity data from Mumford Cove, Connecticut, USA from 2015-2022 (Collaborative research: Understanding the effects of acidification and hypoxia within and across generations in a coastal marine fish) | Despite their importance for research and environmental protection, there's still a shortage of high quality and high-resolution temperature, pH, and oxygen data particularly in shallow coastal habitats. We monitor five important environmental parameters (i.e., depth, temperature, salinity, pH, and dissolved oxygen) at 30 minute intervals in Mumford Cove, CT (41 degrees 19'25\"N, 72 degrees 01'07\"W), a small (2 km N-S × 0.5 km E-W), shallow (1-5 meters), cone-shaped embayment opening to northeastern Long Island Sound, with protected marsh habitat along its western side, marsh and beach habitat along its eastern side, and an extensive seagrass (Zostera marina) cover. Continuous monitoring is achieved by swapping identical and recalibrated probes (Eureka Manta Sub2) every 3-5 weeks.\n\ncdm_data_type = Other\nVARIABLES:\nlocation (unitless)\nlat (degrees_north)\nlon (degrees_east)\nserial_number (unitless)\nISO_DateTime_EST (unitless)\ntemp (degrees Celsius)\npH (pH units)\ncond (microsiemens per centimeter (µS/cm))\nHDO_mgl (milligrams per liter (mg/L))\nHDO_percentSat (percent)\nsalinity (PSS)\ndepth (m)\nISO_DateTime_UTC (unitless)\ncomments (unitless)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_659874_v3/index.htmlTable | https://www.bco-dmo.org/dataset/659874
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_659874_v3.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_659874_v3&showErrors=false&email= | BCO-DMO | bcodmo_dataset_659874_v3 | |||||
| log in | [NCBI accessions for RNAseq data from apparently healthy and SCTLD-affected Montastraea cavernosa] - RNAseq data from apparently healthy and Stony Coral Tissue Loss Disease-affected Montastraea cavernosa coral collected from St. Thomas, US Virgin Islands in 2020 (RAPID: Collaborative Research: Predicting the Spread of Multi-Species Coral Disease Using Species Immune Traits) | These data include raw RNAseq reads from Montastraea cavernosa collected from two reefs in St. Thomas, United States Virgin Islands. Samples were collected from two reefs showing signs of active stony coral tissue loss disease (SCTLD) in February of 2020: Buck Island and Black Point. Black Point, a nearshore reef, first exhibited cases of SCTLD between December 2018 and January 2019, whereas Buck Island, situated near an offshore undeveloped island, recorded its first cases of SCTLD in October 2019. At both sites, one coral fragment was collected from each apparently health colony (Buck Island, n = 3; Black Point, n = 3), termed apparently healthy tissue on an apparently healthy colony (HH). Two fragments were collected from each diseased colony: one immediately adjacent to the SCTLD lesion line (Buck Island, n = 3: Black Point, n = 5), termed lesion tissue on a diseased colony (LD), and one as far away from the lesion line as possible (approximately 10 cm from the lesion line) (Buck Island, n = 3; Black Point, n = 5), termed apparently healthy tissue on a diseased colony (HD). Sample and data analysis was performed in January 2024. Sequences were used in a feature selection algorithm to identify the genes in M. cavernosa and its dominant algal endosymbiont, Cladocopium goreaui, that best discriminate between the three SCTLD health states. By characterizing the gene expression profiles associated with various tissue health states in M. cavernosa and C. goreaui, this data supports evidence that SCTLD causes dysbiosis between the coral host and its Symbiodiniaceae and describes the metabolic and immune shifts that occur as the holobiont transitions from an apparently healthy state to a diseased state.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\nNCBI_BioProject_accession (unitless)\nNCBI_BioSample_accession (unitless)\nNCBI_SRA_accession (unitless)\nSample_type (unitless)\nCoral_species (unitless)\nReef_Name (unitless)\nReef_type (unitless)\nCollection_Date (unitless)\nlatitude (degrees_north)\n... (15 more variables)\n | BCO-DMO | bcodmo_dataset_935630_v1 | ||||||||||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_904782_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_904782_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_904782_v1/ | public | [Northern Gulf of Mexico electrochemical data Fall 2020] - Electrochemical data from sediment cores collected on the Louisiana Shelf of the Northern Gulf of Mexico during November 2020 on R/V Savannah cruise SAV-20-07 (Importance of Riverine Discharge on the Benthic Flux of Alkalinity to Continental Margins) | This data set reports sediment depth profiles of dissolved O2, Mn2+, Fe2+, and total dissolved sulfide (SH2S) concentrations, as well as pH and current intensities of organic-Fe(III) complexes and aqueous clusters of FeS (FeS(aq)) that cannot be quantified directly. These data were obtained by profiling intact sediment cores using voltammetric and pH microelectrodes deployed on a computer-operated micromanipulator. Sediment cores were collected at five different stations on the Louisiana Shelf on the Northern Gulf of Mexico during the week of November 3-6, 2020 using an MC-800 multi-corer. These stations extend from the middle of the shelf offshore from Cocodrie, LA to the mouth of the Mississippi River North West Pass. All depth profiles were started within 30 minutes after collection. The field sampling was conducted during R/V Savannah cruise SAV-20-07.\n\ncdm_data_type = Other\nVARIABLES:\nYear (unitless)\nMonth (unitless)\nDay (unitless)\nDate (unitless)\nCollection_Type (unitless)\nStation (unitless)\nlongitude (degrees_east)\nLat (degrees_north)\nSediment_depth (centimeters (cm))\npH (unitless (pH scale))\nO2 (micrometers (uM))\nsd_O2 (micrometers (uM))\nMn_II (micrometers (uM))\nsd_Mn_II (micrometers (uM))\nFe_II (micrometers (uM))\nsd_Fe_II (micrometers (uM))\nSH2S (micrometers (uM))\nsd_SH2S (micrometers (uM))\nS2O3 (micrometers (uM))\n... (5 more variables)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_904782_v1/index.htmlTable | https://www.bco-dmo.org/dataset/904782
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_904782_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_904782_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_904782_v1 | |||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924206_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924206_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_924206_v1/ | public | [Ocean warming & acidification experiment: Acartia hudsonica development time] - Development (i.e. maturation) time measurements for Acartia hudsonica during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) (Collaborative Research: Response of marine copepods to warming temperature and ocean acidification) | These data include development (i.e. maturation) time measurements for Acartia hudsonica during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) including a benign ambient condition temperature and CO2 control (AM). These data were collected every second generation between F0 and F4 for all treatments and at F11 for AM and OWA. Data were calculated for naupliar development time (i.e. naupliar stage 1 to naupliar stage 6) and copepodite development time (i.e. copepodite stage 1 to adulthood). The experimental environmental conditions were: 1) Ambient control (AM): 13˚C, 400 µatm CO2, pH = 8.2; 2) Ocean Acidification (OA): 13˚C, 1000 µatm CO2, pH = 7.85; 3) Ocean Warming (OW): 15°C, 400 μatm CO2, pH = 8.2; 4) Combined warming and acidification (OWA): 15°C, 1000 μatm CO2, pH = 7.85.\n\ncdm_data_type = Other\nVARIABLES:\nTreatment (unitless)\nTemp (degrees Celsius)\npH (pH units)\nRep (unitless)\nBeak (unitless)\ntime_elapsed (Time, days post hatch)\nnx (number of individuals)\nlx (number of individuals)\nNdev (number of individuals)\nCdev (number of individuals)\nF_Ratio (females per total individuals)\nM_Ratio (males per total individuals)\nGeneration (unitless)\nGeneration_c (unitless)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_924206_v1/index.htmlTable | https://www.bco-dmo.org/dataset/924206
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_924206_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_924206_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_924206_v1 | |||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924126_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924126_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_924126_v1/ | public | [Ocean warming & acidification experiment: Acartia hudsonica egg production and hatching success] - Egg production rate (EPR) and egg hatching success (HS) data for Acartia tonsa during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) (Collaborative Research: Response of marine copepods to warming temperature and ocean acidification) | These data include egg production rate (EPR) and egg hatching success (HS) data for Acartia tonsa during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) including a benign ambient condition temperature and CO2 control (AM). These data were collected every second generation between F0 and F4 for all treatments and at F11 for AM and OWA. Data was collected as the number of eggs produced and hatched offspring per female per treatment at each generation.\n\ncdm_data_type = Other\nVARIABLES:\nGeneration (unitless)\nNumber (unitless)\nTreatment (unitless)\nTemp (degrees Celsius)\npH (pH units)\nEPRtot (eggs per female per day)\nHftot (nauplii per egg laid)\nGeneration_c (unitless)\nRep (unitless)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_924126_v1/index.htmlTable | https://www.bco-dmo.org/dataset/924126
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_924126_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_924126_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_924126_v1 | |||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924088_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924088_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_924088_v1/ | public | [Ocean warming & acidification experiment: Acartia hudsonica survival] - Survivorship measurements collected for Acartia hudsonica during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) (Collaborative Research: Response of marine copepods to warming temperature and ocean acidification) | These data include survivorship measurements collected for Acartia hudsonica during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) including a benign ambient condition temperature and CO2 control (AM). These data were collected every second generation between F0 and F4 for all treatments and F11 for AM and OWA. Data were collected as the proportion of surviving individuals on any day (x) relative to the starting number of individuals for a single experiment.\n\ncdm_data_type = Other\nVARIABLES:\nGeneration (unitless)\nTreatment (unitless)\nTemp (degrees Celsius)\npH (pH units)\nRep (unitless)\nBeak (unitless)\ntime_elapsed (Time, days)\nnx (number of individuals)\nlx (unitless)\nNdev (number of individuals)\nCdev (number of individuals)\nF_Ratio (females per total individuals)\nM_Ratio (males per total individuals)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_924088_v1/index.htmlTable | https://www.bco-dmo.org/dataset/924088
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_924088_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_924088_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_924088_v1 | |||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906342_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906342_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_906342_v1/ | public | [Ocean warming & acidification experiment: Acartia tonsa body size] - Acartia tonsa body size data for transgenerational ocean warming and acidification experiments (Collaborative Research: Response of marine copepods to warming temperature and ocean acidification) | These data include body size measurements collected for Acartia tonsa during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) including a benign ambient condition temperature and CO2 control (AM). These data were collected every third generation between F0 and F15 and at F25 for all treatments. Data was collected on C1 juveniles (C1), adult males (C6M), and adult females (C6F). Individual copepods were stained with non-acid lugol's solution, isolated in a drop of filtered seawater, and photographed using a Lumenera Infinity5-5 camera (Teledyne Lumenera, Ottawa, ON, CAN) attached to an inverted microscope (Olympus IX70, Olympus, Waltham, MA, USA) after the water droplet had been removed. Body size was measured as prosome length at C1 and C6 stages using Image-J (https://imagej.nih.gov/ij/).\n\ncdm_data_type = Other\nVARIABLES:\nTreatment (unitless)\nLength (millimeter (mm))\nTemp (degrees Celsius(°C))\npH (unitless)\nGeneration (unitless)\nStage (unitless)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_906342_v1/index.htmlTable | https://www.bco-dmo.org/dataset/906342
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_906342_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_906342_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_906342_v1 | |||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906780_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906780_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_906780_v1/ | public | [Ocean warming & acidification experiment: Acartia tonsa egg production and hatching success] - Acartia tonsa egg production rate and egg hatching success for transgenerational exposure to ocean warming and ocean acidification (Collaborative Research: Response of marine copepods to warming temperature and ocean acidification) | These data include egg production rate (EPR) and egg hatching success (HS) data for Acartia tonsa during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) including a benign ambient condition temperature and CO2 control (AM). These data were collected every third generation between F0 and F15 and at F25 for all treatments. Data was collected as the number of eggs produced and hatched offspring per female per treatment at each generation.\n\ncdm_data_type = Other\nVARIABLES:\nGeneration (unitless)\nRep (unitless)\nTreatment (unitless)\nTemp (degrees Celsius (°C))\npH (unitless)\nHatched (unitless)\nUnhatched (unitless)\nTotal (unitless)\nEPRtot (unitless)\nHFtot (unitless)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_906780_v1/index.htmlTable | https://www.bco-dmo.org/dataset/906780
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_906780_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_906780_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_906780_v1 | |||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907873_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907873_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_907873_v1/ | public | [PE23-20 Binned CTD] - Processed CTD data (binned) from 20 casts conducted on R/V Pelican cruise PE23-20 in the Northern Gulf of Mexico in May 2023 (CAREER: Investigating aerobic microbial respiration dynamics in coastal hypoxia) | This dataset includes the processed CTD data from 20 casts conducted on R/V Pelican cruise PE23-20 in the Northern Gulf of Mexico in May 2023. Data were averaged into 1-meter depth bins.\n\ncdm_data_type = Other\nVARIABLES:\nCast (unitless)\nLat_Start (degrees_north)\nLon_Start (degrees_east)\ntime (Iso_datetime_start_utc, seconds since 1970-01-01T00:00:00Z)\naltM (meters (m))\navgsvCM (meters per second (m/s))\nnbf (unitless)\nc0S_m (Siemens per meter (S/m))\nc1S_m (Siemens per meter (S/m))\ndepth (m)\ndz_dtM (meters per second (m/s))\nflECO_AFL (milligrams per cubic meter (mg/m^3))\nwetCDOM (milligrams per cubic meter (mg/m^3))\nlatitude (degrees_north)\nlongitude (degrees_east)\nsbeox0Mg_L (milligrams per liter (mg/L))\nsbeox1Mg_L (milligrams per liter (mg/L))\nptempC (degrees Celsius)\nprDM (decibars (db))\nsal00 (PSU)\nph (unitless (pH scale))\nsvCM (meters per second (m/s))\nspar (micromoles photons per square meter per second (umol photons/m^2/sec))\nt090C (degrees Celsius)\nt190C (degrees Celsius)\ntimeS (seconds)\ntimeM (minutes)\nflag (unitless)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_907873_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_907873_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_907873_v1/index.htmlTable | https://www.bco-dmo.org/dataset/907873
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_907873_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_907873_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_907873_v1 | |||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908001_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908001_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_908001_v1/ | public | [PE23-20 Unbinned CTD] - Processed CTD data from 20 casts conducted on R/V Pelican cruise PE23-20 in the Northern Gulf of Mexico in May 2023 (CAREER: Investigating aerobic microbial respiration dynamics in coastal hypoxia) | This dataset includes the processed CTD data from 20 casts conducted on R/V Pelican cruise PE23-20 in the Northern Gulf of Mexico in May 2023. Data have not been binned by depth.\n\ncdm_data_type = Other\nVARIABLES:\nCast (unitless)\nLat_Start (degrees_north)\nLon_Start (degrees_east)\ntime (Iso_datetime_start_utc, seconds since 1970-01-01T00:00:00Z)\naltM (meters (m))\navgsvCM (meters per second (m/s))\nnbf (unitless)\nc0S_m (Siemens per meter (S/m))\nc1S_m (Siemens per meter (S/m))\ndepth (m)\ndz_dtM (meters per second (m/s))\nflECO_AFL (milligrams per cubic meter (mg/m^3))\nwetCDOM (milligrams per cubic meter (mg/m^3))\nlatitude (degrees_north)\nlongitude (degrees_east)\nsbeox0Mg_L (milligrams per liter (mg/L))\nsbeox1Mg_L (milligrams per liter (mg/L))\nptempC (degrees Celsius)\nprDM (decibars (db))\nsal00 (PSU)\nph (unitless (pH scale))\nsvCM (meters per second (m/s))\nspar (micromoles photons per square meter per second (umol photons/m^2/sec))\nt090C (degrees Celsius)\nt190C (degrees Celsius)\ntimeS (seconds)\ntimeM (minutes)\nflag (unitless)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_908001_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_908001_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_908001_v1/index.htmlTable | https://www.bco-dmo.org/dataset/908001
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_908001_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_908001_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_908001_v1 | |||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_944084_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_944084_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_944084_v1/ | public | [PE24-03 Binned CTD] - Processed CTD data (averaged into 1-meter depth bins) from 26 casts conducted on R/V Pelican cruise PE24-03 in the Northern Gulf of Mexico in August 2023 (CAREER: Investigating aerobic microbial respiration dynamics in coastal hypoxia) | This dataset includes the processed CTD data from 26 casts conducted on R/V Pelican cruise PE24-03 in the Northern Gulf of Mexico in August 2023. Data were averaged into 1-meter depth bins.\n\ncdm_data_type = Other\nVARIABLES:\nCast (unitless)\nlatitude (Lat_start, degrees_north)\nlongitude (degrees_east)\ntime (Iso_datetime_start_utc, seconds since 1970-01-01T00:00:00Z)\naltM (meters (m))\navgsvCM (meters per second (m/s))\nnbf (unitless)\nc0S_m (Siemens per meter (S/m))\nc1S_m (Siemens per meter (S/m))\ndepth (m)\ndz_dtM (meters per second (m/s))\nlatitude_degrees_North (Latitude, degrees_north)\nlongitude_degrees_East (Longitude, degrees_east)\nsbeox0Mg_L (milligrams per liter (mg/L))\nsbeox1Mg_L (milligrams per liter (mg/L))\nprDM (decibars (db))\nsal00 (PSU)\nsvCM (meters per second (m/s))\nt090C (degrees Celsius)\nt190C (degrees Celsius)\ntimeS (seconds)\nCStarTr0 (percent (%))\nph (unitless (pH scale))\nflECO_AFL (milligrams per cubic meter (mg/m^3))\nsal11 (PSU)\nsecS_priS (PSU)\nflag (unitless)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_944084_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_944084_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_944084_v1/index.htmlTable | https://www.bco-dmo.org/dataset/944084
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_944084_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_944084_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_944084_v1 | |||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_944178_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_944178_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_944178_v1/ | public | [PE24-03 Unbinned CTD] - Processed CTD data from 26 casts conducted on R/V Pelican cruise PE24-03 in the Northern Gulf of Mexico in August 2023 (CAREER: Investigating aerobic microbial respiration dynamics in coastal hypoxia) | This dataset includes the processed CTD data from 26 casts conducted on R/V Pelican cruise PE24-03 in the Northern Gulf of Mexico in August 2023. Data have not been binned by depth.\n\ncdm_data_type = Other\nVARIABLES:\nCast (unitless)\nlatitude (Lat_start, degrees_north)\nlongitude (degrees_east)\ntime (Iso_datetime_start_utc, seconds since 1970-01-01T00:00:00Z)\naltM (meters (m))\navgsvCM (meters per second (m/s))\nnbf (unitless)\nc0S_m (Siemens per meter (S/m))\nc1S_m (Siemens per meter (S/m))\ndepth (m)\ndz_dtM (meters per second (m/s))\nlatitude_degrees_North (Latitude, degrees_north)\nlongitude_degrees_East (Longitude, degrees_east)\nsbeox0Mg_L (milligrams per liter (mg/L))\nsbeox1Mg_L (milligrams per liter (mg/L))\nprDM (decibars (db))\nsal00 (PSU)\nsvCM (meters per second (m/s))\nt090C (degrees Celsius)\nt190C (degrees Celsius)\ntimeS (seconds)\nCStarTr0 (percent (%))\nph (unitless (pH scale))\nflECO_AFL (milligrams per cubic meter (mg/m^3))\nsal11 (PSU)\nsecS_priS (PSU)\nflag (unitless)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_944178_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_944178_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_944178_v1/index.htmlTable | https://www.bco-dmo.org/dataset/944178
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_944178_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_944178_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_944178_v1 | |||
| log in | [Pump CTD Profiles] - Pump CTD profiles from the EMB276 cruise on R/V Elisabeth Mann Borgese in the Baltic Sea from September 20-27, 2021 (Collaborative Research: Manganese Cycling and Coupling Across Redox Boundaries within Stratified Basins of the Baltic Sea) | Pump CTD profiles include data on time, latitude, longitude, depth, h2s, o2, sulfide, pH, po4, NO3, NO2, NH4, SiO2, fluorescence, turbidity, density, temperature, and salinity from six stations in the Baltic Sea collected between September 20 - 27, 2021. Data was collected from the R/V Elisabeth Mann Borgese.\n\ncdm_data_type = Other\nVARIABLES:\ncruise_name (unitless)\nstation_number (unitless)\nstation_name (unitless)\ndate (unitless)\ntime_UTC (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (Latitude_n, degrees_north)\nlongitude (Longitude_e, degrees_east)\nmax_depth_m (meters (m))\ndepth (m)\nH2S_uM (micromolar (µM))\nO2_uM (micromolar (µM))\ntotal_sulfide_umol_l (micromole per liter (µmol/L))\npH (unitless)\nPO4_umol_l (micromole per liter (µmol/L))\nNO3 (micromole per liter (µmol/L))\nNO2_umol_l (micromole per liter (µmol/L))\nNH4_umol_l (micromole per liter (µmol/L))\nSiO2_umol_l (micromole per liter (µmol/L))\nFluor_mg_m3 (mg/m^3)\nTurb_NTU (NTU)\nDensity_Sig_tet (unitless)\nTemp_C (degrees Celsius (°C))\nSalinity_PSU_ (PSU)\n | BCO-DMO | bcodmo_dataset_934904_v1 | ||||||||||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908026_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908026_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_908026_v1/ | public | [Reef seawater biogeochemistry from the Jardines de la Reina reef-system] - Reef seawater biogeochemistry data from samples collected in the Jardines de la Reina reef-system, Cuba in November of 2017 (Signature exometabolomes of Caribbean corals and influences on reef picoplankton) | Reef depth and reef surface seawater samples were collected from reefs in Jardines de la Reina and subjected to targeted and untargeted liquid chromatography mass spectrometry (LC-MS) methods in addition to a suite of biogeochemical measurements (inorganic and organic nutrient concentrations, microbial cell abundances, chlorophyll a concentrations, and physicochemical properties). \nRaw and .mzML data files from the LC-MS methods are located at MetaboLights database, using accession number MTBLS1820. The link is: https://www.ebi.ac.uk/metabolights/MTBLS1820/.\n\nThese data were published in Weber et al. (2020).\n\ncdm_data_type = Other\nVARIABLES:\nreef (unitless)\nsite (unitless)\ndate (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nbiome (unitless)\nsampling_depth (unitless)\ngrouping (unitless)\nDOC (micro molar (uM))\nDN (micro molar (uM))\nTOC (micro molar (uM))\nTN (micro molar (uM))\nPro (cells per mL)\nSyn (cells per mL)\nPico (cells per mL)\nHbact (cells per mL)\nTotalcells (cells per mL)\nPO4 (micro molar (uM))\nSI (micro molar (uM))\n... (11 more variables)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_908026_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_908026_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_908026_v1/index.htmlTable | https://www.bco-dmo.org/dataset/908026
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_908026_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_908026_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_908026_v1 | |||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_911441_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_911441_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_911441_v1/ | public | [Samples Sequenced for Metabarcoding] - Cyanobacterial and diatom samples collecteced between April and September 2022, and sequenced for metabarcodig of 16S and rbcL. (Collaborative Research: RUI: OCE-BO: Tango in the Mat World: Biogeochemistry of diurnal vertical migration in microbial mats of Lake Huron’s sinkholes) | These data are the sample information for each of the samples collected for metabarcoding of 16S and rbcL to describe Cyanobacterial and diatom diversity, respectively, in three sites in Alpena, Michigan, one site in Monroe, Michigan, and one site in Palm Coast, Florida. Sample data are for sequenced samples and include their associated water parameter information that was collected simultaneously.\nEach of these sites are high-sulfur, low-oxygen environments formed by underwater sinkholes and springs that create extreme habitats populated by microbial mat communities. Our study investigated previously undescribed diatom diversity in these habitats, and further explored the bacterial communities as well. Our results provide novel information on microbial mat community composition, and present evidence that microbial biogeography influences these unique communities.\n\ncdm_data_type = Other\nVARIABLES:\nSampleID (unitless)\nCollection_ID (unitless)\nCollection_Date (unitless)\nLocation (unitless)\nLat (degrees_north)\nlongitude (Long, degrees_east)\nSample_Type (unitless)\nTemp (Celsius (°C))\nCond (Microsiemens / centimeter (μS/cm))\nTDS (Grams/liter (g/L))\npH (unitless)\nNTU (Nephelometric Turbidity Units (NTU))\nODO (Percentage saturation)\nODO_mg_L (Milligrams/liter (mg/L))\nCl_mg_L (Milligrams/liter (mg/L))\nSO4_mg_L (Milligrams/liter (mg/L))\nNO3_N_mg_L (Milligrams/liter (mg/L))\nSi_mg_L (Milligrams/liter (mg/L))\nSRP_P_mg_L (Milligrams/liter (mg/L))\nNCBI_BioProject (unitless)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_911441_v1/index.htmlTable | https://www.bco-dmo.org/dataset/911441
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_911441_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_911441_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_911441_v1 | |||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925664_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925664_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_925664_v1/ | public | [Shell dissolution data for Mytilus californianus] - Shell dissolution data for Mytilus californianus from March to July 2020 (OA decoupling project) (Invertebrate calcification and behavior in seawater of decoupled carbonate chemistry) | This dataset supports the main incubation data. These data document shell dissolution rates for Mytilus californianus which were used to convert net calcification rates of mussels into gross calcification rates.\n\ncdm_data_type = Other\nVARIABLES:\nspecies (unitless)\nAphiaID (unitless)\nLSID (unitless)\nmodule (unitless)\ndatetime_local (unitless)\nstart_time_local (unitless)\nISO_Start_DateTime_UTC (unitless)\nduration (hours)\nsalinity (PSU)\ntemperature (degrees Celcius)\nshell_mass (grams (g))\nTA (umol kg-1)\nph (unitless)\nhco3 (umol kg-1)\nco3 (umol kg-1)\nomega (unitless)\nco2 (umol kg-1)\npco2 (uatm)\ndic (umol kg-1)\nincubation_water_mass (kilograms (kg))\ndelta_ta (umol kg-1)\ndiss_rate (umol hr-1 g-1)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_925664_v1/index.htmlTable | https://www.bco-dmo.org/dataset/925664
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_925664_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_925664_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_925664_v1 | |||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918841_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918841_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_918841_v1/ | public | [T. pseudonana starve-recover experiments: Physiological data] - Diatom (Thalassiosira pseudonana) physiological data from experiments designed to study single-cell transcriptional profiling of nutrient acquisition heterogeneity in diatoms conducted in December of 2022 (EAGER: Diatom Programmed Cell Death at Single-Cell Resolution) | This dataset includes physiological data for diatom Thalassiosira pseudonana grown during experiments conducted as part of a study of \"Single-Cell transcriptional profiling of nutrient acquisition heterogeneity in diatoms.\" See \"Related Datasets\" section for T. pseudonana gene and cell information collected as part of the same study and experiments.\n\n\nStudy description: \n\nDiatoms (Bacillariophyceae) are unicellular photosynthetic algae, accounting for about 40% of total marine primary production (equivalent to terrestrial rainforests) and critical ecological players in the contemporary ocean. Diatoms can form enormous blooms in the ocean that can be seen from space and are the base of food webs in coastal and upwelling systems, support essential fisheries, and are central to the biogeochemical cycling of important nutrients such as carbon and silicon. Over geological time, diatoms have influenced the world's climate by changing the carbon flux into the oceans. \n\nDiatoms have traditionally been studied on a population level. Growth is often measured by the total increase in biomass, and gene expression is analyzed by isolating mRNA from thousands or millions of cells. These methods generate a valuable analysis on the population's average functioning; however, they fail to show how each individual diatom cell contributes to the population phenotype. Bulk transcriptomes confound different stages and variability of cell states in heterogeneous populations. By contrast, single-cell transcriptomics measures gene expression in thousands of individual diatoms providing a quantitative and ultrahigh-resolution picture of transient cell states in population fractions enabling the reconstruction of the various phenotypic trajectories. Thus, the single-cell physiological and molecular parameters analysis allows an unsupervised assessment of cell heterogeneity within a population—a new dimension in diatoms and phytoplankton in general. \n\nIn this dataset, we examine the model diatom Thalassiosira pseudonana clonal cells grown in different nitrogen conditions, at the single cell level when grown in a light: dark cycle (12:12 h). Nitrogen is the major limiting nutrient for primary production and growth in the ocean's surface, specifically for diatoms and the food webs they support. We investigate nutrient limitation, starvation and recovery. We used droplet-based, single-cell transcriptomics to analyze ten samples in two stages. In the first stage (\"starvation\"), six samples were collected over four days of culture as nutrient levels decreased. In the second stage (\"recovery\"), four samples were collected over twelve hours after nutrients were replenished.\n\ncdm_data_type = Other\nVARIABLES:\nSpecies (unitless)\n... (29 more variables)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_918841_v1/index.htmlTable | https://www.bco-dmo.org/dataset/918841
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_918841_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_918841_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_918841_v1 | |||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_928152_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_928152_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_928152_v1/ | public | [Water column geochemical composition] - Geochemical composition of water column samples collected in the Equatorial Pacific during October and November 2020 on R/V Kilo Moana cruise KM2012 (Collaborative Research: How and Why eNd Tracks Ocean Circulation) | Water column, sediment, and pore water samples were collected during R/V Kilo Moana cruise KM2012 in the Equatorial Pacific during October and November 2020. This dataset includes elemental concentrations, Neodymium isotope ratios, pH, and nutrients from the water column samples.\n\ncdm_data_type = Other\nVARIABLES:\nStation_Number (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\nbottom_depth (meters (m))\nsample_name (unitless)\ndepth (m)\nLa_pM (picomolar (pmol/L))\nCe_pM (picomolar (pmol/L))\nPr_pM (picomolar (pmol/L))\nNd_pM (picomolar (pmol/L))\nSm_pM (picomolar (pmol/L))\nEu_pM (picomolar (pmol/L))\nGd_pM (picomolar (pmol/L))\nTb_pM (picomolar (pmol/L))\nDy_pM (picomolar (pmol/L))\nHo_pM (picomolar (pmol/L))\nEr_pM (picomolar (pmol/L))\nTm_pM (picomolar (pmol/L))\nYb_pM (picomolar (pmol/L))\nLu_pM (picomolar (pmol/L))\nCo_nM (nanomolar (nmol/L))\nNi_nM (nanomolar (nmol/L))\nCu_nM (nanomolar (nmol/L))\nZn_nM (nanomolar (nmol/L))\n... (11 more variables)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_928152_v1/index.htmlTable | https://www.bco-dmo.org/dataset/928152
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_928152_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_928152_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_928152_v1 | |||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_931936_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_931936_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_931936_v1/ | public | [Winam Gulf Metagenomic Time Series] - Metagenomic Time Series of Winam Gulf, Lake Victoria from 2022-2023 (ASI Lake Victoria project) (IRES Track II: Advanced studies institute on water quality and harmful algal blooms in Lake Victoria) | Compared to the other \"Great Lakes\" (Laurentian Great Lakes of North America and Lake Baikal of Russia) the African Great Lakes have remained widely unstudied. This serves as a substantial research gap within the limnological literature given the African Great Lakes contribute approximately 25% of all global, accessible freshwater. Lake Victoria of the African Great Lakes is notable for its large size - serving as the second largest freshwater lake in the world by surface area. Yet, Lake Victoria is also known for the prolific year-long cyanobacterial blooms that occur throughout her waters such as the Winam Gulf. These blooms are fueled by intense agricultural and anthropogenic development much like other freshwater harmful algal blooms. However, unlike other freshwater blooms such as those occurring in Lake Erie and Lake Taihhu - these cyanobacterial blooms have remained widely uncharacterized (especially using molecular techniques). \n\nThe central study area is the Winam Gulf of Lake Victoria, Kenya. This is a relatively shallow, hypereutrophic system that has various rivers serving as nutrient loading sources (such as the Sondu River). This dataset also contains opportunistic samples collected from a variety of riverine systems and Lakes Simbi and Naivasha. \n\nHere, we present the biological, chemical and physical data corresponding to a two year metagenomic time series of the Winam Gulf, Lake Victoria. We further present the physiochemical data of eight outgroup samples including adjacent riverine systems and Lakes Simbi and Naivasha.\n\ncdm_data_type = Other\nVARIABLES:\nLibrary_ID (unitless)\nSite_Name (unitless)\nReplicate_id (unitless)\nSampleID (unitless)\nStudyID (unitless)\nSample_type (unitless)\nLake_or_river (unitless)\nlatitude (degrees_north)\n... (40 more variables)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_931936_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_931936_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_931936_v1/index.htmlTable | https://www.bco-dmo.org/dataset/931936
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_931936_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_931936_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_931936_v1 | |||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949394_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949394_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_949394_v1/ | public | [Winter survey data from Lake Erie from Dec 2022 to Mar 2023] - Winter survey data from Lake Erie from Dec 2022 to Mar 2023 (Lake Erie Center for Fresh Waters and Human Health) | This dataset includes winter survey data from Lake Erie collected on USCGC Neah Bay, CCGS Griffon, and CCGS Samuel Risley from December 2022 to March 2023. The survey includes environmental observations, physico-chemical data, chlorophyll, total and dissolved nutrients. The Lake Erie Center for Fresh Waters and Human Health is a five-year, multi-institutional effort aimed at understanding the environmental factors and ongoing changes that influence the growth and toxicity of cyanobacterial harmful algal blooms (cHABs) in Lake Erie.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nDeployment (unitless)\nAlt_Station (unitless)\nLake (unitless)\nDate (unitless)\nTime_EST (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nWater_Depth (meters (m))\nIce_Cover (percent (%))\nSnow_Cover (percent (%))\nIce_Type (unitless)\nIce_Thickness (inches (in))\nAir_Temp (Degrees Celsius)\nWater_Temp (Degrees Celsius)\nDO (microgram per liter (µg L-1))\nDO_percent (percent (%))\nCond (microsiemens per centimeter (uS/cm))\npH (unitless (pH scale))\nSechhi (meters (m))\nBaro_Press (Hg)\n... (16 more variables)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_949394_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_949394_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_949394_v1/index.htmlTable | https://www.bco-dmo.org/dataset/949394
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_949394_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_949394_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_949394_v1 |