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 | |
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| 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 | ||||||||||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_930163_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_930163_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_930163_v1/ | public | [Kāneʻohe Bay Time-series - phytoplankton and biogeochemistry] - Biological oceanographic measurements, 16S rRNA gene amplicons and metagenomes from surface seawater taken from August 2017 to June 2021 at sites within and adjacent to Kāneʻohe Bay, Oʻahu, Hawaiʻi (Population genomics and ecotypic divergence in the most dominant lineage of marine bacteria) | These data include temperature, pH, salinity, chlorophyll a concentrations, cellular abundances of Prochlorococcus, Synechococcus, photosynthetic picoeukaryotes, and heterotrophic bacteria,16S ribosomal RNA gene amplicon libraries, metagenomes, inorganic nutrient concentrations, and photosynthetic pigment measurements via high performance liquid chromatography from surface seawater samples collected as part of the Kāneʻohe Bay Time-series (KByT). This dataset reflects near-monthly sampling of surface seawater that was conducted between between August 2017 and June 2021 at 10-12 sites within and adjacent to Kāneʻohe Bay, Oʻahu, Hawaiʻi. Instruments used were a YSI 6,600 sonde, a ProDSS multi-parameter sonde, a Turner 10AU fluorometer, a Beckman Coulter CytoFLEX S flow cytometer, a Seal Analytical AA3 HR Nutrient Autoanalyzer, an Illumina MiSeq v2 platform, and the Illumina NovaSeq 6000.\n\nThese data reveal a remarkably persistent transition in surface ocean biogeochemistry, phytoplankton biomass, and phytoplankton community structure, despite high water exchange and define surface ocean biogeochemical and phytoplankton regimes over space and time across nearshore to offshore waters in the tropical Pacific. These results provide insight into drivers of seasonal and spatial variability of phytoplankton communities. Data were collected and analyzed by Sarah J. Tucker, Yoshimi M. Rii, Kelle C. Freel, Keliʻiahonui Kotubetey, A. Hiʻilei Kawelo, and Kawika B. Winter, Michael S. Rappé.\n\ncdm_data_type = Other\nVARIABLES:\nSampleID (unitless)\nUniversal_Sample_ID (unitless)\nMetagenome (unitless)\nMetagenome_ID (unitless)\nYear (unitless)\nSampling_Order (unitless)\nSeason (unitless)\nMonth (unitless)\nMonth_abb (unitless)\nTime (hh:mm)\n... (68 more variables)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_930163_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_930163_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_930163_v1/index.htmlTable | https://www.bco-dmo.org/dataset/930163
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_930163_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_930163_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_930163_v1 |