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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_963210_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_963210_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_963210_v1/ | public | [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 | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_963210_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_963210_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_963210_v1/index.htmlTable | https://osprey.bco-dmo.org/dataset/963210
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_963210_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_963210_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_963210_v1 | |||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906740_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906740_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_906740_v1/ | public | [Microbiome dynamics of coral reef and cleanerfish] - Microbiome dynamics of coral reef and cleanerfish from ecological surveys, in situ manipulations, and laboratory experiments conducted from 2020-2021 (Collaborative Research: Cleaning stations as hubs for the maintenance and recovery of microbial diversity on coral reefs.) | Coral reefs host some of the most iconic symbiotic interactions in nature and are host to the highest diversity of life on the planet. Cleaning symbiosis, wherein small fish or shrimp remove external parasites and associated microorganisms from specific clients, is common on coral reefs. Sites on the reef occupied by cleaners, or \"cleaning stations\", attract a wide variety of fish species that engage in direct physical contact with the cleaner. In this study, we used a combination of ecological surveys, in situ manipulations, and laboratory experiments to examine the unique features of cleaning stations to understand transfer of bacterial and archaeal symbionts amongst fish and within coral reef environment. We used microbial 16S rRNA gene amplicons, environmental parameters, and other molecular tools to evaluate the dynamics between coral microbiomes, cleanerfish skin microbiomes, and the environment. This dataset contains metadata describing sequenced samples, including sample name, data deposition accession records, and measurements at the time of sample collection.\n\ncdm_data_type = Other\nVARIABLES:\nBioProject_accession (unitless)\nBioSample_accession (unitless)\nsample_name (unitless)\nSRA_accession (unitless)\ncollection_date (unitless)\ngeo_loc_name (unitless)\nhost (unitless)\nlat (degrees_north)\nlongitude (degrees_east)\nisolation_source (unitless)\nhost_common_name (unitless)\nhost_disease (unitless)\nhost_condition (unitless)\nhost_coral_cleaner_goby_pretreatment (unitless)\nhost_coral_reef_id (unitless)\nlocation_survey_date (unitless)\n... (13 more variables)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_906740_v1/index.htmlTable | https://www.bco-dmo.org/dataset/906740
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_906740_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_906740_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_906740_v1 | |||||
| log in | [Shoreline Grab and Autosampler Samples after Lahaina Wildfires 2023-2024] - Water quality parameters from discrete shoreline and transect sampling in West Maui (Lahaina area), Hawaiʻi, following the Lahaina Wildfires, Aug 2023 to Oct 2024 (RAPID: Coral reef stress responses to an urban fire) | These data include values for various coastal water parameters: carbon chemistry (total alkalinity, dissolved inorganic carbon, and dissolved organic carbon), trace metals, metabolomic composition, nutrient concentrations (NOx, NO2, PO4, SiO2, and NH3), Fluorescence Dissolved Organic Matter, and flow cytometry. Water samples were all collected in West Maui in and around reef systems that were within and adjacent to the burn zone of the Lahaina fires. These samples were collected by boat transect, shoreline grab sampling, and autonomous sampling devices. Some autonomous sampling data from before the fire event are also included. The aim of these data is to understand the effects on coral reef health in response to the urban fires that occurred in August of 2023. Samples were collected by a collaborative effort of scientists Dr. Andrea K Kealoha, Dr. Craig Nelson, Dr. Eileen Nalley, and Dr. Nicholas Hawco.\n\ncdm_data_type = Other\nVARIABLES:\ndate (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_Local_HST (unitless)\ncollection (unitless)\nuniqueID (unitless)\nstation (unitless)\nsampling_trip (unitless)\ndescription (unitless)\ntide (unitless)\nstation_platform (unitless)\nstation_category (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nmetal (unitless)\nfcm (unitless)\nfdom (unitless)\nhlb (unitless)\ndoc (unitless)\n... (73 more variables)\n | BCO-DMO | bcodmo_dataset_982204_v1 |