BCO-DMO ERDDAP
Accessing BCO-DMO data 		log in    
Brought to you by BCO-DMO    
 
 
griddap Subset tabledap Make A Graph wms files Accessible Title Summary FGDC ISO 19115 Info Background Info RSS Email Institution Dataset ID
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_752803.subset https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_752803 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_752803.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_752803/ public [ADCP FidalgoBay - July 2017] - Time series of horizontal and vertical current profiles collected from an upward-facing acoustic Doppler current profiler (ADCP) in Fidalgo Bay, WA during July 2017 (RUI: Will climate change cause 'lazy larvae'? Effects of climate stressors on larval behavior and dispersal) This dataset is a time series of horizontal and vertical current profiles collected from an upward-facing acoustic Doppler current profiler in Fidalgo Bay, WA during July 2017. These data were published in the following Masters Thesis: McIntyre, Brooke A., \\Vertical Distribution of Olympia oyster (Ostrea lurida) larvae in Fidalgo Bay, WA\\ (2018). WWU Graduate School Collection. 694. https://cedar.wwu.edu/wwuet/694\n\ncdm_data_type = Other\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)\nmonth (unitless)\nday (unitless)\nyear (unitless)\ntime_PT (unitless)\npitch (degrees)\nroll (degrees)\ntemp_c (degrees Celsius)\nu_1 (meters/second)\nu_1_3 (meters/second)\nu_1_6 (meters/second)\nu_1_9 (meters/second)\nu_2_2 (meters/second)\nu_2_5 (meters/second)\nu_2_8 (meters/second)\nu_3_1 (meters/second)\nu_3_4 (meters/second)\nu_3_7 (meters/second)\nu_4 (meters/second)\nu_4_3 (meters/second)\nu_4_6 (meters/second)\n... (62 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_752803_fgdc.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_752803/index.htmlTable https://www.bco-dmo.org/dataset/752803 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_752803.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_752803&showErrors=false&email= BCO-DMO bcodmo_dataset_752803
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 (external link) 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_752902 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_752902.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_752902/ public [FieldData_FidalgoBay_July2017] - Water quality data and Olympia oyster abundance counts from depth-specific sampling collected by boat in Fidalgo Bay, WA, during July 2017 (RUI: Will climate change cause 'lazy larvae'? Effects of climate stressors on larval behavior and dispersal) This dataset reports water quality data and Olympia oyster abundance counts from depth-specific sampling collected by boat in Fidalgo Bay, WA, during July 2017. These data were published in the following Masters Thesis: McIntyre, Brooke A., \\Vertical Distribution of Olympia oyster (Ostrea lurida) larvae in Fidalgo Bay, WA\\ (2018). WWU Graduate School Collection. 694. https://cedar.wwu.edu/wwuet/694\n\ncdm_data_type = Other\nVARIABLES:\ntime (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)\ndate_local (unitless)\ntime_local (unitless)\ntide_category (unitless)\nprofile (unitless)\ndepth_seafloor_m (Depth, meters)\ndepth_sample_m (Depth, meters)\ndepth_cat (Depth, unitless)\ncurrent_velocity_m_s (meters per second)\nchla_ug_L (Concentration Of Chlorophyll In Sea Water, micrograms per liter seawater)\ntemp_c (degrees Celcius)\nsalinity (Sea Water Practical Salinity, PSU)\nwind_anemometer_m_s (meters per second)\noyster_larvae_100L (Oyster Larvae 100 L, larvae per 100-Liters seawater)\noyster_larvae_m3 (larvae per cubic meter)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_752902/index.htmlTable https://www.bco-dmo.org/dataset/752902 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_752902.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_752902&showErrors=false&email= BCO-DMO bcodmo_dataset_752902
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_747872.subset https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_747872 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_747872.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_747872/ public [Heterosigma akashiwo acclimation] - NCBI accessions of the harmful alga Heterosigma akashiwo (CCMP2393) grown under a range of CO2 concentrations from 200-1000 ppm (Impacts of Evolution on the Response of Phytoplankton Populations to Rising CO2) This dataset includes metadata associated with NCBI BioProject PRJNA377729 \\Impacts of Evolution on the Response of Phytoplankton Populations to Rising CO2\\ PRJNA377729: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA377729. The alga Heterosigma akashiwo was grown at CO2 levels from about 200 to 1000 ppm and then the DNA and RNA were sequenced.\n\ncdm_data_type = Other\nVARIABLES:\nsample_name (unitless)\nsample_title (unitless)\nbioproject_accession (unitless)\norganism (unitless)\nstrain (unitless)\nisolate (unitless)\nhost (unitless)\nisolation_source (unitless)\ntime (Collection Date, seconds since 1970-01-01T00:00:00Z)\ngeo_loc_name (unitless)\nsample_type (unitless)\nbiomaterial_provider (unitless)\ncollected_by (unitless)\ndepth (m)\nenv_biome (unitless)\ngenotype (unitless)\nlat_lon (Latitude, decimal degrees)\npassage_history (unitless)\nsamp_size (unitless)\ntemp_C (degrees Celsius)\nlight_level_umol_m2_s (micromol photons m-2 s-1)\nlight_dark_hr (hours)\nMedia (unitless)\nCO2_ppm (parts per million)\nAlkalinity (micromol per kilogram (umol/kg))\npH (Sea Water Ph Reported On Total Scale, unitless; pH scale)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_747872/index.htmlTable https://www.bco-dmo.org/dataset/747872 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_747872.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_747872&showErrors=false&email= BCO-DMO bcodmo_dataset_747872
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_968692_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_968692_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_968692_v1/ public [July 2017 Flow Cytometry] -  (Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients) These data include measurements of phytoplankton physiology and composition from a controlled multi-stressor incubation experiment conducted in July 2017. Whole phytoplankton communities were collected from the Narragansett Bay Long-Term Plankton Time Series site and incubated at the in-situ temperature (22 degrees Celsius) and at deviations from that temperature (±4 degrees Celsius) with both macronutrient amendments (N, P, Si addition) and unamended controls. Phytoplankton growth, abundance, size structure, and elemental composition, as well as microzooplankton grazing rates were measured throughout the incubations. These data improve our understanding of the phytoplankton community response to short-term changes in temperature or nutrients, providing valuable insight into the drivers of marine ecosystems.\n\ncdm_data_type = Other\nVARIABLES:\ntime_d (days)\ntemp_C (degrees Celsius)\nnutr (unitless)\nbin (unitless)\nlimit (FSC or SSC)\nfsc_per (percent)\nssc_per (percent)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_968692_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/968692 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_968692_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_968692_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_968692_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_966570_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_966570_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_966570_v1/ public [July 2017 Incubation Experiment] - Phytoplankton physiology and composition under temperature-nutrient multi-stressor incubation from July 2017 in Narragansett Bay, RI (Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients) These data include measurements of phytoplankton physiology and composition from a controlled multi-stressor incubation experiment conducted in July 2017. Whole phytoplankton communities were collected from the Narragansett Bay Long-Term Plankton Time Series site and incubated at the in-situ temperature (22 degrees Celsius) and at deviations from that temperature (±4 degrees Celsius) with both macronutrient amendments (N, P, Si addition) and unamended controls. Phytoplankton growth, abundance, size structure, and elemental composition, as well as microzooplankton grazing rates were measured throughout the incubations. These data improve our understanding of the phytoplankton community response to short-term changes in temperature or nutrients, providing valuable insight into the drivers of marine ecosystems.\n\ncdm_data_type = Other\nVARIABLES:\ntime_d (days)\ntemp_C (degrees Celsius)\nnutr (unitless)\ngr_d (per day)\ngr_d_sd (per day)\ngz_d (per day)\ngz_d_sd (per day)\nchl_ugl (micrograms per liter (ug/L))\nchl_ugl_sd (micrograms per liter (ug/L))\nchl_20um_per (percent)\nchl_5_20um_per (percent)\nchl_5um_per (percent)\npon_uM (micromolar (uM))\npon_uM_sd (micromolar (uM))\npoc_uM (micromolar (uM))\npoc_uM_sd (micromolar (uM))\nbsi_uM (micromolar (uM))\nbsi_uM_sd (micromolar (uM))\nc_n (unitless; mol:mol)\n... (11 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_966570_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/966570 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_966570_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_966570_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_966570_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
log in [SMIIL salt marsh discrete samples] - Discrete sample measurements of dissolved oxygen, dissolved inorganic carbon, and total alkalinity from the Seven Mile Island Innovation Laboratory (SMIIL) from 2022 to 2024 (Sediment transport and water quality in watersheds and coastlines of the United States) This dataset contains discrete sample measurements of dissolved oxygen, dissolved inorganic carbon, and total alkalinity collected from 2022 through 2024 from a tidal salt marsh in New Jersey, USA. The marsh is located landward of Seven Mile Island, a populated barrier island in Cape May County, New Jersey, and is a part of the Seven Mile Island Innovation Laboratory (SMIIL), a research initiative focused on advancing dredging and marsh restoration practices. Samples in this dataset were collected as part of a collaboration between Boston College and the U.S. Army Corps of Engineers Engineer Research and Development Center. This project encompassed multi-year biogeochemical sensor deployments within the main tidal salt marsh channel and salt ponds on the marsh platform, as well as targeted deployments to monitor beneficial use dredged sediment placements. Beginning in August-September 2022, discrete samples for dissolved oxygen, total alkalinity, and dissolved inorganic carbon were collected at the start and end of each sensor deployment for additional sensor calibration and validation. We provide the discrete sample measurements alongside collected salinity and temperature sensor data from the locations where sensors were deployed.\n\ncdm_data_type = Other\nVARIABLES:\nTrip_ID (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nStation_ID (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nTemp_C (degrees Celsius)\nTemp_flag (unitless)\nSal_PSU (Practical Salinity Units)\nSal_flag (unitless)\nOxygen1 (umol/kg)\nOxygen1_flag (unitless)\nOxygen2 (umol/kg)\nOxygen2_flag (unitless)\nOxygen3 (umol/kg)\n... (7 more variables)\n BCO-DMO bcodmo_dataset_971872_v1
log in [SOLARIS Superoxide and Standard CTD Profiles] - SOLARIS superoxide and standard 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) SOLARIS superoxide profiles and standard CTD profiles including oxygen, turbidity, fluorescence, temperature, and PAR data from seven 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_name (unitless)\ncast_number (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\nTime_Start_UTC (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\ndepth (Depth_m, m)\nSuperoxide_nM (nanomolar (nm))\nOxygen_uM (micromolar (um))\nPAR (mol?m ?2 ?s ?1.)\nFluorescence (mg/m^3)\nTurbidity_NTU (NTU (Nephelometric Turbidity Unit))\nTemp_C (degrees Celsius (°C))\nSalinity_PSU (PSU)\n BCO-DMO bcodmo_dataset_935118_v1
log in [Thermal performance of corals in high and low nutrient enrichment - respirometry] - Respirometry data from corals in high and low nutrient enrichments in a fore reef habitat in Mo'orea, French Polynesia in 2019 (RUI: Collaborative Research: Defining the biogeochemical context and ecological impacts of submarine groundwater discharge on coral reefs) This dataset contains respirometry data collected from October to November of 2019 from the study described below. See the \"Related Datasets\" section or the project page for other data collected as part of this study.  \n\nStudy description:\n\nGlobal- and local-scale anthropogenic stressors have been the main drivers of coral reef decline, causing shifts in coral reef community composition and ecosystem functioning. Excess nutrient enrichment can make corals more vulnerable to ocean warming by suppressing calcification and reducing photosynthetic performance. However, in some environments, corals can exhibit higher growth rates and thermal performance in response to nutrient enrichment. In this study, we measured how chronic nutrient enrichment at low concentrations affected coral physiology, including endosymbiont and coral host response variables, and holobiont metabolic responses of Pocillopora spp. colonies in Mo'orea, French Polynesia. We experimentally enriched corals with dissolved inorganic nitrogen and phosphate for 15 months on an oligotrophic fore reef in Mo'orea starting in October of 2019. We first characterized symbiont and coral physiological traits due to enrichment and then used thermal performance curves to quantify the relationship between metabolic rates and temperature for experimentally enriched and control coral colonies. We found that endosymbiont densities and total tissue biomass were 54% and 22% higher in nutrient-enriched corals, respectively, relative to controls. Algal endosymbiont nitrogen content cell−1 was 44% lower in enriched corals relative to the control colonies. In addition, thermal performance metrics indicated that the maximal rate of performance for gross photosynthesis was 29% higher and the rate of oxygen evolution at a reference temperature (26.8 °C) for gross photosynthesis was 33% higher in enriched colonies compared to the control colonies. Together, our results show that in an oligotrophic fore reef environment, nutrient enrichment can cause changes in coral endosymbiont physiology that increase the performance of the coral holobiont.\n\ncdm_data_type = Other\nVARIABLES:\nFragment_ID (unitless)\nTemperature_category (unitless)\n... (4 more variables)\n BCO-DMO bcodmo_dataset_960144_v1

 
ERDDAP, Version 2.22
Disclaimers | Privacy Policy | Contact