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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_986917_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986917_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_986917_v1/ | public | [St. Joseph Bay UAV Urchin survey] - Green turtle density in St. Joseph Bay, Florida, USA estimated by performing aerial surveys in 2016, 2017, and 2019 (RAPID: Species on the Move: Tropicalization of Western Atlantic Seagrass Beds) | Green turtle (Chelonia mydas) density was estimated by performing aerial surveys with a DJI Phantom 3 Professional unmanned aerial vehicle (UAV). UAV systems have been found to provide an effective method for monitoring abundance when conducting daytime surveys of large marine organisms in coastal waters. Aerial surveys are an effective survey method for estimating sea turtle abundance because the method allows coverage of their extensive range. Because primary C. mydas foraging times are during the early morning and late afternoon throughout most of its range, transects were flown in the morning to enhance the reliability of estimates. Efforts were focused on the dense turtlegrass beds in the southern portion of the bay, as acoustic telemetry in St. Joseph Bay suggests that green turtles spend most of their time in this area. Aerial surveys were conducted over two surveys in 2019 during August and September and compared to surveys conducted previously in 2016 and 2017.\n\ncdm_data_type = Other\nVARIABLES:\nFlight_Date (unitless)\nSurvey (unitless)\nprevpost (unitless)\nflight (unitless)\nWaypoint (unitless)\nSG_transect1 (unitless)\nSG_transect3 (unitless)\nperc_vis_trans1 (unitless)\nperc_vis_trans3 (unitless)\nn_turtles_trans1 (unitless)\nn_turtles_trans3 (unitless)\nn (unitless)\nn_SG (unitless)\nn_SG_AB (unitless)\nkm_trans1 (kilometers)\nkm_trans3 (kilometers)\ntotal_km (kilometers)\n... (8 more variables)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_986917_v1/index.htmlTable | https://osprey.bco-dmo.org/dataset/986917
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_986917_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_986917_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_986917_v1 | |||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986875_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986875_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_986875_v1/ | public | [Water Column Methane Oxidation Gulf of Alaska] - Water column methane, methane oxidation, and pmoA gene copies above methane seeps determined from samples collected off the Aleutian Islands, Gulf of Alaska on R/V Atlantis cruise AT50-24 in May to June 2024 (Collaborative Research: Redefining the footprint of deep ocean methane seepage for benthic ecosystems) | Cold seeps along the eastern Aleutian subduction zone in the Gulf of Alaska fuel benthic ecosystems through microbial methane (CH₄) consumption, yet the structure and controls of water column CH₄ oxidation in these deep, cold waters remain poorly resolved. During a May–June 2024 expedition with the R/V Atlantis and HOV Alvin, we studied CH₄ and its bacterial oxidation from surface to seafloor above three deep seep sites (2000 to 5000 meters): Edge, Shumagin, and Sanak, by combining radiotracer incubations with pmoA gene profiling. CH₄ oxidation occurred throughout the water column, with peak rates (1 to 242 nanomoles per liter per day) in near-seafloor Alvin samples and 0.1 to 0.25 nanomoles per liter per day in CTD rosette samples 10 to 30 meters above bottom. Rates varied by site and depth. CH₄ oxidation in surface waters, coinciding with an algal bloom, suggests cryptic cycling via in situ production and consumption. A ~325-meter near-bottom CTD transect at Sanak revealed lateral gradients in CH₄ and oxidation aligned with bottom currents, with oxidation highest near hydrate-bearing gas vents and at the off-seep distal end. These findings show that aerobic CH₄ oxidation peaks near the seafloor to ~30 meters above but extends laterally and vertically beyond active seepage. Oxidation was detected even where methanotroph gene abundance was low, potentially indicating the influence of lateral CH₄ transport and tidal currents. The methanosphere thus emerges as a dynamic and spatially diffuse microbial system shaped by CH₄ availability and physical transport processes.\n\ncdm_data_type = Other\nVARIABLES:\nDate_UTC (unitless)\nCTD_Start_Time_or_Alvin_Niskin_Closure_UTC (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nSite_Name (unitless)\nCTD_or_Alvin_Sample_Number (unitless)\nWaypoint (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nWater_Depth (meters below sea level (mbsl))\nMethane (nanomoles per liter (nmol L-1))\nMethane_oxidation_Replicate_1 (nanomoles per liter per day (nmol L-1 d-1))\nMethane_oxidation_Replicate_2 (nanomoles per liter per day (nmol L-1 d-1))\nMethane_oxidation_Replicate_3 (nanomoles per liter per day (nmol L-1 d-1))\npmoA_gene_copy_number (Log pmoA copies per liter)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_986875_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_986875_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_986875_v1/index.htmlTable | https://osprey.bco-dmo.org/dataset/986875
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_986875_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_986875_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_986875_v1 | |||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986866_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986866_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_986866_v1/ | public | [Water column methane, methane oxidation, and pmoA gene copies] - Water column methane, methane oxidation, and pmoA gene copies above southern California methane seeps determined from samples collected on R/V Atlantis cruise AT50-12 in July 2023 (Collaborative Research: Redefining the footprint of deep ocean methane seepage for benthic ecosystems) | Marine methane (CH₄) seeps are dynamic biogeochemical systems that modulate carbon cycling and support high-biomass communities through microbial methane (CH₄) oxidation. While most CH₄ is consumed anaerobically in sediments, a fraction enters the water column, where aerobic methanotrophs form a biological filter limiting CH₄ flux to the atmosphere. However, the extent to which this microbial activity and CH₄ influence extend beyond visibly active seep zones remains poorly constrained, with implications for deep-sea food webs, biogeochemical gradients, and carbon cycling. We investigated CH₄ dynamics and methanotroph distribution across three seep sites on the Southern California margin (Del Mar, Santa Monica (800 meters) Mound, Lasuen Knoll; ~400–1200 meters depth). Using radiotracer (³H-CH₄) incubations, CH₄ concentration profiling, and particulate methane monooxygenase (pmoA) gene quantification, we sampled vertical and horizontal transects and near-bottom waters via the HOV Alvin. CH₄ oxidation was active not only within seep plumes but also in off-seep regions, with the highest rate (454 nanomoles per liter per day) observed within a CH₄-rich bubble plume. pmoA gene abundances remained relatively stable across both seep and off-seep waters, suggesting a persistent CH₄-oxidizing potential. These findings support an expanded \"methanosphere,\" a CH₄-influenced microbial zone shaped by physical transport and environmental gradients. This dataset is part of a PhD thesis: Klonicki-Ference, Emily F. \"Microbial Regulation of Methane and Redox Dynamics in the Water Column: From a Proterozoic Ocean Analog to Modern Marine Seeps.\" PhD diss., University of California, Los Angeles, 2025.\n\ncdm_data_type = Other\nVARIABLES:\nDate_UTC (unitless)\nCTD_Start_Time_or_Alvin_Niskin_Closure_UTC (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nSite_Name (unitless)\nCTD_or_Alvin_Sample_Number (unitless)\nWaypoint (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nWater_Depth (meters below sea level (mbsl))\nMethane (nanomoles per liter (nmol L-1))\n... (4 more variables)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_986866_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_986866_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_986866_v1/index.htmlTable | https://osprey.bco-dmo.org/dataset/986866
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_986866_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_986866_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_986866_v1 |