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BCO-DMO ERDDAP
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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 | |
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| log in | [Discrete Carbonate Data] - (Drivers of ocean acidification in a temperate urbanized estuary undergoing nutrient loading reductions) | This dataset contains discrete carbonate data collected as part of the study described below. See the \"Related Publications\" sections for more datasets from this study.\n\nStudy description:\n\nThe increase in atmospheric carbon dioxide (CO2) over the last 200 years has largely been mitigated by the ocean's function as a carbon sink. However, this continuous absorption of CO2 by seawater triggers ocean acidification (OA), a process in which water becomes more acidic and more depleted in carbonate ions that are essential for calcifiers. OA is well-studied in open ocean environments; however, understanding the unique manifestation of OA in coastal ecosystems presents myriad challenges due to considerable natural variability resulting from concurrent and sometimes opposing coastal processes--e.g. eutrophication, changing hydrological conditions, heterogeneous biological activity, and complex water mass mixing. This study analyzed high temporal resolution pH data collected during 2022 and 2023 from Narragansett Bay, RI--a mid-sized, urban estuary that since 2005 has undergone a 50% reduction in nitrogen loading\\textemdash with weekly, discrete bottle samples to verify sensor data. We used autonomous data for pH, temperature, salinity, and dissolved oxygen from 4 sensors in Narragansett Bay. The autononous data spanned over a year from 2022 to mid-2023 and had temporal resolutions between 10 and 15 minutes. The data have been subjected to QA/QC protocols, such that all pH measurements are final and quality controlled. As well, pH values normalized to 15°C (using PyCO2SYS) are included. All pH values are in total scale.\n\nAdditionally, data from discrete samples have been provided. Discrete samples were taken weekly at the Narragansett Bay Long Term Phytoplankton Time Series site and monthly from Greenwich Bay, collocated with 2 of the sensors. Discrete data were analyzed in lab for dissolved inorganic carbon and total alkalinity, and include in situ temperature and salinity.\n\ncdm_data_type = Other\nVARIABLES:\nSample (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLocation (unitless)\n... (10 more variables)\n | BCO-DMO | bcodmo_dataset_961940_v1 | ||||||||||||
| log in | [Methane Seep Macrofaunal Morphospecies] - Macrofaunal morphospecies from hard substrate samples at methane seeps collected from R/V Atlantis cruise AT50-12 in the Southern California Borderland from July 16-28, 2023 (Collaborative Research: Redefining the footprint of deep ocean methane seepage for benthic ecosystems) | Hard substrate samples (carbonate, phosphorite, and wood) were collected at methane seeps off Southern California with the HOV Alvin from July 16-28, 2023 during R/V Atlantis cruise AT50-12 for macrofaunal analyses. This dataset contains counts for fauna identified to morphospecies as well as collection and sample metadata.\n\ncdm_data_type = Other\nVARIABLES:\nAlvin_Dive (unitless)\nDate_Deployed (unitless)\nDate_Recovered (unitless)\nSite (unitless)\nExperiment (unitless)\nSubstrate_Type (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nDepth_Category (unitless)\nOxygen (micromoles per kilogram (umol/kg))\nOxygen_Category (unitless)\nSeepage_Category (unitless)\nSample_Number (unitless)\nSurface_Area (square centimetres (cm^2))\nSample_ID (count)\nAcari_sp_1 (count)\nActiniaria_unidentified_isotopes (count)\nActiniaria_sp_1 (count)\nActiniaria_sp_2 (count)\nActiniaria_sp_3 (count)\nActiniaria_sp_4 (count)\nActiniaria_sp_5 (count)\nAgathotanaidae_sp_1 (count)\n... (250 more variables)\n | BCO-DMO | bcodmo_dataset_964636_v1 | ||||||||||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_969102_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_969102_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_969102_v1/ | public | [Microbial diversity survey Axial Seamount 2023] - Metabarcoding data from microbial diversity survey at Axial Seamount aboard the R/V Thompson cruise TN420 in Jul 2022 and Jul 2023 (Characterizing and quantifying the impact of phagotrophic protists at hot spots of primary production at Axial Seamount) | Microorganisms are the ancestral forms of life on our planet and have been instrumental in shaping all of Earth?s environments into what they are today. In the ocean, microbial prokaryotes and eukaryotes form the foundation of marine food webs through their activity and interactions. Single-celled microbial eukaryotes (or protists) are some of the most important species on the planet, yet our understanding of how their activities influence and regulate the ocean ecosystem is poorly constrained. At deep-sea hydrothermal vents in particular, our understanding of microbial food web dynamics is incomplete without including the role of microbial eukaryotes. In July 2023, we completed an ROV expedition to Axial Seamount (NE Pacific), where we used ROV Jason to collect low temperature diffuse vent fluid and surrounding plume and background seawater. These samples were filtered in situ or shipboard to collect the microbial communities. Data provided are the product of amplicon tag-sequencing using both 18S rRNA and 16S rRNA gene primers.\n\ncdm_data_type = Other\nVARIABLES:\nAccession (unitless)\nSample_Name (unitless)\nNCBI_Organism_Name (unitless)\nNCBI_Tax_ID (unitless)\nBioProject (unitless)\ndive_ctd (unitless)\nsite_name (unitless)\ncollection_method (unitless)\nsample_type (unitless)\nfilter (unitless)\nprocessing (unitless)\nprimer (unitless)\ntarget_population (unitless)\nlocation_name (unitless)\ndepth_category (unitless)\ndepth (m)\nfluid_origin (unitless)\n... (4 more variables)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_969102_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_969102_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_969102_v1/index.htmlTable | https://osprey.bco-dmo.org/dataset/969102
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_969102_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_969102_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_969102_v1 | |||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_747279 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_747279.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_747279/ | public | [Planktic foraminifer shell d15N from net tows] - Planktic foraminifer shell d15N from net tows in the Sargasso Sea at BATS and Hydro Station S (Understanding the nitrogen isotopes of planktonic foraminifera: A modern Sargasso Sea study) | Planktic foraminifer shell d15N from net tows in the Sargasso Sea (off Bermuda) in the western subtropical North Atlantic. Net tow samples from 0-200 m at BATS (31\\u00b040\\u2019N, 64\\u00b010\\u2019W) and Hydro Station S (32\\u00b010\\u2019N, 64\\u00b034\\u2019W), collectected on R/V Atlantic Explorer cruises HS1178, B274, AE1203, B280, B283, AE1220, B287, B292, B295, B299.\n\ncdm_data_type = Other\nVARIABLES:\nspecies (unitless)\ndate (unitless)\ndepth_category (Depth, meters (m))\nd15N (D15 N, per mil)\nTotal_N (nanomoles (nmol))\nweight (milligrams (mg))\nN_content (nanomoles per milligram (nmol/mg))\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_747279/index.htmlTable | https://www.bco-dmo.org/dataset/747279
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_747279.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_747279&showErrors=false&email= | BCO-DMO | bcodmo_dataset_747279 | |||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_747248 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_747248.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_747248/ | public | [Planktic foraminifer tissue d15N from net tows] - Planktic foraminifer tissue d15N from net tows in the Sargasso Sea at BATS and Hydro Station S (Understanding the nitrogen isotopes of planktonic foraminifera: A modern Sargasso Sea study) | Planktic foraminifer tissue d15N from net tows in the Sargasso Sea (off Bermuda) in the western subtropical North Atlantic. Net tow samples from 0-200 m at BATS (31\\u00b040\\u2019N, 64\\u00b010\\u2019W) and Hydro Station S (32\\u00b010\\u2019N, 64\\u00b034\\u2019W), collectected on R/V Atlantic Explorer cruises HS1178, B274, AE1203, B280, B283, AE1220, B287, B292, B295, B299.\n\ncdm_data_type = Other\nVARIABLES:\nspecies (unitless)\ndate (unitless)\ndepth_category (Depth, meters (m))\nnum_individuals (unitless)\nd15N (D15 N, per mil)\nTotal_N (nanomoles (nmol))\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_747248/index.htmlTable | https://www.bco-dmo.org/dataset/747248
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_747248.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_747248&showErrors=false&email= | BCO-DMO | bcodmo_dataset_747248 | |||||
| log in | [Pseudo-nitzschia spp. presence-absence and environmental data] - Pseudo-nitzschia spp. presence-absence and environmental data in Narragansett Bay in Rhode Island, USA and the Northeast U.S. Shelf (NES-LTER transect) from 2018-2023 (Northeast U.S. Shelf Long Term Ecological Research site) | This dataset includes environmental measurements and presence-absence of Pseudo-nitzschia species, a harmful algal bloom diatom genus, associated with samples from various sites in Narragansett Bay, Rhode Island, including the Narragansett Bay Long Term Plankton Time Series site, and several stations along the Northeast U.S. Shelf Long Term Ecological Research program transect. These data correspond to an analysis of Pseudo-nitzschia species composition and domoic acid toxin production during winters and summers from 2018-2023 in Narragansett Bay and the Northeast U.S. Shelf, which was prepared for submission to Harmful Algae (Roche, et al.). This dataset includes sites information, particulate domoic acid concentration, Pseudo-nitzschia cell counts, temperature, salinity, nutrient concentrations, presence-absence of Pseudo-nitzschia species, and NCBI BioSample accessions.\n\ncdm_data_type = Other\nVARIABLES:\nlibrary_ID (unitless)\nSample_Date (unitless)\nSite (unitless)\nSite_Abbreviation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDepth_category (unitless)\ndepth (m)\nSeason (unitless)\nLTER_cruise (unitless)\nCTD_cast (unitless)\nNiskin (unitless)\npDA (nanograms/liter (ng/L))\nPseudonitzschia (cells/liter)\nTemp (Degrees Celsius (°C))\nSalinity (Practical Salinity Units (PSU))\nPhosphate (microMolar)\nSilicate (microMolar)\n... (28 more variables)\n | BCO-DMO | bcodmo_dataset_936856_v1 |