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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_742780.subset | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_742780 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_742780.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_742780/ | public | [ARK27-3: Bulk MCA hydrolysis rates] - Microbial enzyme activities: peptidase activities in bulk seawater samples from the RV\\Polarstern cruise ARKXXVII/3 in the Central Arctic Ocean and Laptev Sea, Aug-Sept. 2012 (Latitudinal and depth-related contrasts in enzymatic capabilities of pelagic microbial communities: Predictable patterns in the ocean?) | This dataset includes peptidase activities measured in bulk (not filter-fractionated) seawater. Links to archived CTD data are also provided. Five substrates linked to a 7-amido-4-methyl coumarin (MCA) fluorophore, one amino acid \\u2013 leucine \\u2013 and four oligopeptides \\u2013 the chymotrypsin substrates alanine-alanine-phenylalanine (AAF) and alanine-alanine-proline-phenylalanine (AAPF), and the trypsin substrates glutamine-alanine-arginine (QAR) and glutamic acid-gylcine-arginine (EGR) \\u2013 were used to measure exo- and endo-acting peptidase activities, respectively.\n\ncdm_data_type = Other\nVARIABLES:\nstation_no (unitless)\ndepth_no (Depth, unitless)\ndepth_m (Depth, meters)\ncast_no (unitless)\ntime (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nsubstrate (unitless)\ntimepoint (unitless)\ntime_elapsed_hr (hours)\nrep1_rate (nanomoles/liter/hour (nmol L-1 h-1))\nrep2_rate (nanomoles/liter/hour (nmol L-1 h-1))\nrep3_rate (nanomoles/liter/hour (nmol L-1 h-1))\naverage (nanomoles/liter/hour (nmol L-1 h-1))\nstd_dev (nanomoles/liter/hour (nmol L-1 h-1))\ncomments (unitless)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_742780_fgdc.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_742780/index.htmlTable | https://www.bco-dmo.org/dataset/742780
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_742780.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_742780&showErrors=false&email= | BCO-DMO | bcodmo_dataset_742780 | |||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_885506_v2 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_885506_v2.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_885506_v2/ | public | [Distribution of dissolved barium in seawater determined using machine learning] - A spatially and vertically resolved global grid of dissolved barium concentrations in seawater determined using Gaussian Process Regression machine learning (The Speed, Signature, and Significance of Barium Transformations in Seawater) | We present a spatially and vertically resolved global grid of dissolved barium concentrations ([Ba]) in seawater determined using Gaussian Process Regression machine learning. This model was trained using 4,345 quality-controlled GEOTRACES data from the Arctic, Atlantic, Pacific, and Southern Oceans. Model output was validated by assessing the accuracy of [Ba] simulations in the Indian Ocean, noting that none of the Indian Ocean data were seen by the model during training. We identify a model that can accurate predict [Ba] in the Indian Ocean using seven features: depth, temperature, salinity, as well as dissolved dioxygen, phosphate, nitrate, and silicate concentrations. This model achieves a mean absolute percentage error of 6.0 %, which we assume represents the generalization error. This model was used to simulate [Ba] on a global basis using predictor data from the World Ocean Atlas 2018. The global model of [Ba] is on a 1°x 1° grid with 102 depth levels from 0 to 5,500 m. The dissolved [Ba] output was then used to simulate dissolved Ba* (barium-star), which is the difference between 'observed' and [Ba] predicted from co-located [Si]. Lastly, [Ba] data were combined with temperature, salinity, and pressure data from the World Ocean Atlas to calculate the saturation state of seawater with respect to barite. The model reveals that the volume-weighted mean oceanic [Ba] and and saturation state are 89 nmol/kg and 0.82, respectively. These results imply that the total marine Ba inventory is 122(±7) ×10¹² mol and that the ocean below 1,000 m is at barite equilibrium.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nlongitude (Longitude_degreese, degrees_east)\nlatitude (Latitude_degreesn, degrees_north)\nDepth_m (meters (m))\ndBa_nmol_kg (nanomoles per kilogram (nmol/kg))\nomega_Ba (unitless)\nBa_star_nmol_kg (nanomoles per kilogram (nmol/kg))\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_885506_v2_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_885506_v2_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_885506_v2/index.htmlTable | https://www.bco-dmo.org/dataset/885506
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_885506_v2.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_885506_v2&showErrors=false&email= | BCO-DMO | bcodmo_dataset_885506_v2 | |||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907028_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907028_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_907028_v1/ | public | [RR2004 Bottle Data] - CTD-associated variables, bottle salinity measurements, oxygen titrations, nutrient analyses, biogeochemical/biological variables, and DIC/Freon chemistry variables from R/V Roger Revelle cruise RR2004 along the 150W meridian from 30S to 60S (Collaborative Research: Biogeochemical and Physical Conditioning of Sub-Antarctic Mode Water in the Southern Ocean) | These data are part of the NSF project \"Collaborative Research: Biogeochemical and Physical Conditioning of Sub-Antarctic Mode Water in the Southern Ocean\". Specifically, these are the discrete bottle data from cruise RR2004 aboard R/V Roger Revelle, which sailed from Honolulu, Hawaii on 26 December 2020 to the Southern Ocean and returned to Honolulu on 23 February 2021. The purpose of the project was to define the processes that condition Sub-Antarctic Mode Water (SAMW) formed at the Sub-Antarctic Front in the Southern Ocean. The cruise track was from 30 degrees South to 60 degrees South along the 150 degrees West meridian as well as an investigation of frontal boundaries and eddies further east (from 45S to 57S by ~145W). Bottle data were collected from CTD casts with tripped Niskin bottles on the CTD Rosette. Trace-metal-clean casts were performed using Niskin-X bottles suspended on Kevlar line and a trace-metal-clean block. \n\nThe data reported herein fall into several categories, A) CTD-associated variables, B) bottle salinity measurements, C) oxygen titrations and nutrient analyses, biogeochemical/biological variables, and D) DIC/Freon chemistry variables. Regarding the specific data, we first report CTD variables (salinity, temperature, potential temperature, density, dissolved oxygen, sound velocity, pressure, depth, conductivity, SeaBird-probe-derived oxygen concentrations, chlorophyll fluorescence, beam transmittance (660nm; %), backscattering, CTD PAR, and surface PAR reference. Next, results from bottle samples for salinity, lab oxygen titration, and nutrient concentrations (nitrate, phosphate, silicate, nitrite, and ammonium). The following biogeochemical and biological variables are presented: particulate organic carbon concentration (POC), particulate organic nitrogen (PON), and particulate inorganic carbon (PIC), concentration of detached coccoliths (given as birefringent singlets, doublets, triplets, or quadruplets, when viewed in a compound microscope with polarization optics), total coccolith concentration (the sum of singlets, doublets, triplets or quadruplets), concentration of birefringent plated coccolithophore cells, coccospheres or coccolith aggregates, planar area subtended by detached coccoliths or plated cells, concentration of biogenic silica, concentration of chlorophyll, phaeopigment and their sum. There are a suite of variables from FlowCAM measurements, mostly done on particles greater than 5 micrometers (um) in diameter: Particle size distribution function (PSDF) slope, standard error of PSDF slope, Y-intercept of the PSDF, R^2 of the PDF slope, F statistic of PSDF slope, total cell concentration per milliliter (mL), concentrations (in cells per mL) of small 0-4um diameter cells, 4-12um round cells, 4-12um diameter ovoid cells, dinoflagellates, ciliates, diatoms silicoflagellates, other unidentified cells, followed by percent of total cell concentrations and carbon biomass (using equations of Menden Deuer and Lessard) for the same cell categories. Carbon fixation rates are then presented for: ratio of calcification/photosynthesis, photosynthesis, calcification, standard deviation of photosynthesis and calcification measurements, chlorophyll concentration within incubation bottles, chlorophyll normalized photosynthesis, and calcification. Finally, corrected salinity (based on bottle salinity), corrected SeaBird oxygen values based on lab oxygen titrations, dissolved inorganic carbon (DIC) concentrations, total alkalinity and concentration of CFC12 and CFC11 freons are presented.\n\ncdm_data_type = Other\nVARIABLES:\nSample (unitless)\n... (135 more variables)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_907028_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_907028_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_907028_v1/index.htmlTable | https://www.bco-dmo.org/dataset/907028
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_907028_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_907028_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_907028_v1 | |||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_780092 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_780092.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_780092/ | public | [Squidpop Assay] - Relative depredation (binomial) data from a squidpop tethering experiment in summer 2017 in Back Sound, North Carolina (Collaborative Research: Habitat fragmentation effects on fish diversity at landscape scales: experimental tests of multiple mechanisms) | Relative depredation (binomial) data from a squidpop tethering experiment in summer 2017 in Back Sound, North Carolina.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nSiteID (Site ID, unitless)\nC_F (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\npercent_sg_cov (dimensionless)\nAirTemp_C (Air Temp C, degrees Celsius (C))\nWaterTemp_C (Water Temp C, degrees Celsius (C))\nSalinity_PSU (Sea Water Practical Salinity, Practical Salinity Units (PSU))\nDepth_m (Depth, meters (m))\nHighTide (High Tide, unitless)\nLowTide (Low Tide, unitless)\nTimeInFromHigh (Time In From High, unitless)\nTide (unitless)\nBobber_Num (per individual)\nE_I (unitless)\nTimeIn (Time In, unitless)\nTimeOut (Time Out, unitless)\nhr1 (unitless)\nhr2 (unitless)\nhr24 (unitless)\ntime (ISO Date Time UTC In, seconds since 1970-01-01T00:00:00Z)\nNotes (unitless)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_780092_fgdc.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_780092/index.htmlTable | https://www.bco-dmo.org/dataset/780092
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_780092.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_780092&showErrors=false&email= | BCO-DMO | bcodmo_dataset_780092 | ||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_737347 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_737347.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_737347/ | public | [Tagged kelp size and depth] - Kelp plant size, holdfast size, and depth from five transects at three sites in Santa Barbara Channel, 2015 to 2017 (Linking nearshore kelp forest dynamics to sandy beach ecosystems) | This dataset reports depth and size of kelp found along five transects in Santa Barbara Channel in summer of 2015 and 2016, and fall of 2017.\n\ncdm_data_type = Other\nVARIABLES:\nYear (unitlesss)\nSite (unitlesss)\nTransect (unitlesss)\nTag_id (unitlesss)\nMonth (unitlesss)\nDay (unitlesss)\nDepth_ft (Depth, feet)\ndepth_m (Depth, meters)\nDistance_m (meters)\nFronds_1_m (meters)\nMax_diameter_1_cm (centimeters)\nOrthogonal_diameter_cm (centimeters)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_737347/index.htmlTable | https://www.bco-dmo.org/dataset/737347
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_737347.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_737347&showErrors=false&email= | BCO-DMO | bcodmo_dataset_737347 |