Accessing BCO-DMO data
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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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| log in | [Diel multi 'omics] - Diel multi 'omics data from surface ocean microbial community samples collected during Hawaiʻi Diel Sampling (HaDS) in Kāneʻohe Bay and adjacent offshore waters of O'ahu, Hawai'i from December 2020 to August 2021 (From Signatures of Translational Regulation to Outcomes of Natural Selection: Evolution of Marine Microbes in Changing Environments) | This dataset contains biogeochemical data, sampling information, and genetic accession identifiers for the Hawaiʻi Diel Sampling (HaDS) survey in Kāneʻohe Bay and adjacent offshore waters of O'ahu, Hawai'i from December 2020 to August 2021.\n\nStudy description:\n\nHere, we present data from the Hawaiʻi Diel Sampling (HaDS) survey, which represents a high-resolution sampling of surface ocean microbial communities every 1.5 hours for 48 hours across two environments: Kāneʻohe Bay on the windward coast of Oʻahu, Hawaiʻi, and the adjacent offshore. At both the coastal Kāneʻohe Bay station (HP1) and the adjacent offshore station (STO1), we sampled at 33 time-points across 48 hours in August 2021, and subsequently produced 59 metatranscriptomes, 65 short-read metagenomes, 8 long-read metagenomes, and 66 metaepitranscriptomes. We also generated four deeply-sequenced short-read metagenomes from samples collected in the late fall and spring prior to HaDS through routine Kāneʻohe Bay Time-series sampling. The goal of HaDS is to characterize microbial responses to diel changes in ocean biogeochemistry and investigate mechanisms of transcriptional and translation regulation. These data were collected by Dr. A. Murat Eren of the Helmholtz Institute for Functional Marine Biodiversity.\n\ncdm_data_type = Other\nVARIABLES:\nHADS_Universal_Sample_ID (unitless)\nNCBI_BioProject (unitless)\nBioSample_accession (unitless)\nsampleID_MTX (unitless)\nsampleID_TRNA (unitless)\nsampleID_MGX (unitless)\nsampleID_HMW (unitless)\nStation (unitless)\nDate (unitless)\nTime_sampled (hh:mm)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n... (29 more variables)\n | BCO-DMO | bcodmo_dataset_963210_v1 | ||||||||||||
| 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 | ||||||||||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_911441_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_911441_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_911441_v1/ | public | [Samples Sequenced for Metabarcoding] - Cyanobacterial and diatom samples collecteced between April and September 2022, and sequenced for metabarcodig of 16S and rbcL. (Collaborative Research: RUI: OCE-BO: Tango in the Mat World: Biogeochemistry of diurnal vertical migration in microbial mats of Lake Huron’s sinkholes) | These data are the sample information for each of the samples collected for metabarcoding of 16S and rbcL to describe Cyanobacterial and diatom diversity, respectively, in three sites in Alpena, Michigan, one site in Monroe, Michigan, and one site in Palm Coast, Florida. Sample data are for sequenced samples and include their associated water parameter information that was collected simultaneously.\nEach of these sites are high-sulfur, low-oxygen environments formed by underwater sinkholes and springs that create extreme habitats populated by microbial mat communities. Our study investigated previously undescribed diatom diversity in these habitats, and further explored the bacterial communities as well. Our results provide novel information on microbial mat community composition, and present evidence that microbial biogeography influences these unique communities.\n\ncdm_data_type = Other\nVARIABLES:\nSampleID (unitless)\nCollection_ID (unitless)\nCollection_Date (unitless)\nLocation (unitless)\nLat (degrees_north)\nlongitude (Long, degrees_east)\nSample_Type (unitless)\nTemp (Celsius (°C))\nCond (Microsiemens / centimeter (μS/cm))\nTDS (Grams/liter (g/L))\npH (unitless)\nNTU (Nephelometric Turbidity Units (NTU))\nODO (Percentage saturation)\nODO_mg_L (Milligrams/liter (mg/L))\nCl_mg_L (Milligrams/liter (mg/L))\nSO4_mg_L (Milligrams/liter (mg/L))\nNO3_N_mg_L (Milligrams/liter (mg/L))\nSi_mg_L (Milligrams/liter (mg/L))\nSRP_P_mg_L (Milligrams/liter (mg/L))\nNCBI_BioProject (unitless)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_911441_v1/index.htmlTable | https://www.bco-dmo.org/dataset/911441
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_911441_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_911441_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_911441_v1 |