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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_925359_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925359_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_925359_v1/ | public | [Aerosol REE and Th-232 data from northern Gulf of Alaska region] - Concentrations of the rare earth elements (REE) and Thorium-232 (232Th) from the northern Gulf of Alaska region (Inferring trace element inputs to North Pacific surface waters from Alaskan and Asian dust) | Concentrations of the rare earth elements (REE) and Thorium-232 (232Th) are presented for filtered air (dust) samples collected from the northern Gulf of Alaska region, including from Middleton Island (AK)(59.4214 N, 146.3493 W) and the Copper River delta (60.4324 N, 145.0954 W). Size-fractionated samples were collected in November 2019, using a Tisch Volumetric Flow Controlled (VFC) high volume sampler (Tisch Environmental, TE-5170V- BL) outfitted with a Cascade impactor. The six size fractions collected ranged from <0.49 micrometers (um) to >7.2 um in diameter. This sampler technology is discussed in greater detail in Morton et al, 2013. Samples were filtered with acid-washed Whatman 41 (W41) cellulose fiber filters. Additional bulk dust samples were collected in October 2012, using a Thermo Partisol Plus 2025 using Teflon filters. Samples were fully digested using concentrated nitric and hydrofluoric acids, following the approach of Morton et al, 2013. Samples were analyzed using a Thermofisher iCAP inductively coupled plasma mass spectrometer (ICP-MS) in KED mode, with He as a collision cell gas, adapted from the approach of Trommetter et al (2020). Concentrations were determined from standard curves using a REE ICP-MS standard from High-Purity Standards (that also contained 232Th). Three internal standards (Ge, In, and Bi) were added to both samples and standards, to correct for short-term variability in the instrument response and to evaluate stability of mass response during the ICP-MS run. Concentration estimates for the REE and 232Th were blank-corrected using full-process blanks that included filters deployed during times when there was no known dust deposition. Most of the full-process blank concentrations were 100 times or more smaller than the concentrations of our lowest standard (with the exception of Ce, the concentration of which was ~seven times smaller than our lowest standard. This means that our blank concentrations were very low but also not quantified extremely accurately. Our best estimates are that the full-process blanks, including filters, ranged from 0.02 picograms per square centimeter (pg cm-2) for Eu, Tb, and Ho, to 2 pg cm-2 for Ce. These blank concentrations were in all cases 40 times or more smaller than our lowest REE sample concentration for the <0.49 um size fraction with the smallest amount of dust, and ~3 orders of magnitude smaller than the signal of the largest samples. The REE data are also presented in a double-normalized format that first normalizes to concentrations of Post Archean Australian Shale and then normalizes to the mean REE concentration. The normalization approach is slightly modified from that of Serno et al, 2014.\n\ncdm_data_type = Other\nVARIABLES:\nsample_description (unitless)\n... (20 more variables)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_925359_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_925359_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_925359_v1/index.htmlTable | https://www.bco-dmo.org/dataset/925359
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_925359_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_925359_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_925359_v1 | |||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_518427 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_518427.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_518427/ | public | [BIB Experiments] - Experimental results: Bloom in Bottle (BIB) experiments: culture studies of the effect of Si and N stress on diatoms of the Santa Barbara Channel (SBDOM project, SBC LTER) (Mechanisms controlling the production and fate of DOM during diatom blooms) | Culture studies of diatoms that dominate spring blooms in the Santa Barbara Channel were used to examine the effects of N and Si stress on the magnitude of production and the chemical composition of DOM. Species cultured were: Skeletonema costatum (CCMP 1332), Chaetoceros socialis (CCMP 172), Thalassiosira weissflogii (CCMP 1051), and Odontella aurita (CCMP 595).\n\ncdm_data_type = Other\nVARIABLES:\nspecies (text)\ndate_start (unitless)\ndate_end (unitless)\ntreatment (text)\ntime_point (alphanumeric)\nnominal_hrs (integer)\nreplicate (1 or 2)\nchl (micrograms per Liter (ug L-1))\nphyt_abun (cells per milliliter (cells/mL))\nphyt_abun_sd (cells per milliliter (cells/mL))\nNO3 (Mole Concentration Of Nitrate In Sea Water, micromolar (uM))\nSi (Mass Concentration Of Silicate In Sea Water, micromolar (uM))\nSi_bio (Mass Concentration Of Silicate In Sea Water, micromolar (uM))\nprim_prod (micromoles Carbon per Liter per day (uMol C L-1 d-1))\nER (micromoles Carbon per Liter per day (uMol C L-1 d-1))\nPOC (Particulate Organic Carbon, micromolar (uM))\nDOC (micromolar (uM))\nDOC_sd (micromolar (uM))\nTEP ((uXeq L-1))\nTEP_sd ((uXeq L-1))\nBP (picomoles per Liter per hour (pmol L-1 h-1))\nBP_sd (picomoles per Liter per hour (pmol L-1 h-1))\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_518427/index.htmlTable | https://www.bco-dmo.org/dataset/518427
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_518427.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_518427&showErrors=false&email= | BCO-DMO | bcodmo_dataset_518427 | |||||
| log in | [Coral reef benthic composition in SGD] - Impacts of submarine groundwater discharge on benthic community composition and functional diversity on coral reefs in Mo'orea, French Polynesia from Aug 2021 to Jun 2022 (RUI: Collaborative Research: Defining the biogeochemical context and ecological impacts of submarine groundwater discharge on coral reefs) | Coral reefs experience numerous natural and anthropogenic environmental gradients that alter biophysical conditions and affect biodiversity. While many studies have focused on drivers of reef biodiversity using traditional diversity metrics (e.g., species richness, diversity, evenness), less is known about how environmental variability may influence functional diversity. In this study, we tested the impact of submarine groundwater discharge (SGD) on taxonomic and functional diversity metrics in Mo'orea, French Polynesia. SGD is the expulsion of terrestrial fresh or recirculated seawater into marine environments and is associated with reduced temperatures, pH, and salinity and elevated nutrient levels. Using a regression approach along the SGD gradient, we found that taxon and functional-entity richness displayed unimodal relationships to SGD parameters, primarily nitrate + nitrite and phosphate variability, with peak richness at moderate SGD for stony coral and the full benthic community. Macroalgae showed this unimodal pattern for functional-entity but not taxonomic richness. Functional community composition (presence and abundance of functional entities) increased along the gradient, while taxonomic composition showed a nonlinear relationship to SGD-related parameters. SGD is a common feature of many coastal ecosystems globally and therefore may be more important to structuring benthic functional diversity than previously thought. Further, studying community shifts through a functional-trait lens may provide important insights into the roles of community functions on ecosystem processes and stability, leading to improved management strategies. This dataset includes site identifiers and survey metadata, substrate composition, structural complexity (rugosity), seawater parameters (salinity, temperature, pH, nutrients), taxonomic and functional traits of benthic taxa (morphology, calcification strategy, trophic group), proportional cover of benthic taxa, and community-level diversity metrics.\n\ncdm_data_type = Other\nVARIABLES:\nCowTagID (unitless)\nDate (unitless)\nTaxa (unitless)\npcover (percent)\nTaxon_Group (unitless)\nMorph2 (unitless)\n... (32 more variables)\n | BCO-DMO | bcodmo_dataset_964240_v1 |