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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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https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_753343.subset | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_753343 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_753343.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_753343/ | public | [ESP 2016 Seq] - Metagenomic, metatranscriptomic, and single cell sequencing data from an Environmental Sample Processor deployment in Monterey Bay, CA in 2016. (Bacterial Taxa that Control Sulfur Flux from the Ocean to the Atmosphere) | These metagenomic and metatranscriptomic time-series data cover a 52-day period in the fall of 2016 during an intense bloom of the dinoflagellate Akashiwo sanguinea in Monterey Bay, CA, USA. The dataset comprises 84 metagenomes, 82 metatranscriptomes, and 88 16S rRNA amplicon libraries that capture the functions and taxonomy the bacterial and archaeal community. In addition, 88 18S rRNA amplicon libraries describe the taxonomy of the eukaryotic community during the bloom. Microbial cells were collected at station M0 using the moored autonomous robotic Environmental Sample Processor (ESP) instrument and preserved with RNAlater in the instrument until retrieval.\n\ncdm_data_type = Other\nVARIABLES:\nGOLD_Project_ID (unitless)\nAnalysis_Project_Name (unitless)\nType (unitless)\nAssembly_Method (unitless)\nCollection_Date (unitless)\nInstrument (unitless)\nJGI_Contigs_Link (unitless)\nJGI_Project_ID (unitless)\nJGI_Sample_ID (unitless)\nJGI_Sequencing_Project_ID (unitless)\nJGI_Sequencing_Project_Name (unitless)\nLatitude_and_Longitude (Longitude, unitless)\nNCBI_BioProject_Accession (NCBI Bio Project Accession, unitless)\nNCBI_BioSample_Accession (NCBI Bio Sample Accession, unitless)\nNCBI_Project_ID (unitless)\nNCBI_SRA_Accession_ID (unitless)\nSample_Name (unitless)\nSequencing_Run_Mode (unitless)\nTotal_Bases (unitless)\nVolume_Seawater_Filtered (milliliters (mL))\nenv_biome (unitless)\n... (5 more variables)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_753343_fgdc.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_753343/index.htmlTable | https://www.bco-dmo.org/dataset/753343![]() | https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_753343.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_753343&showErrors=false&email= | BCO-DMO | bcodmo_dataset_753343 | |||
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914399_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914399_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_914399_v1/ | public | [Microbial eukaryotic diversity: Mid-Cayman Rise SRA dataset] - 18S rRNA amplicon sequencing of microbial eukaryotes from the Mid-Cayman Rise acquired Jan-Feb, 2020 (Probing subseafloor microbial interactions via hydrothermal vent fluids: A focus on protists) | Single-celled microbial eukaryotes inhabit deep-sea hydrothermal vent environments and play critical ecological roles in the vent-associated microbial food web. 18S rRNA amplicon sequencing of diffuse venting fluids from two geochemically-distinct hydrothermal vent fields was applied to investigate community diversity patterns among protistan assemblages. Piccard and Von Damm vent fields are situated 20 km apart at the Mid-Cayman Rise in the Caribbean Sea. We describe species diversity patterns with respect to hydrothermal vent field and sample type, identify putative vent endemic microbial eukaryotes, and test how vent fluid geochemistry may influence microbial community diversity. Individual vent fields supported distinct and highly diverse assemblages of protists that included potentially endemic or novel vent-associated strains. This data adds to our growing knowledge of the biogeography of deep-sea microbial eukaryotes.\n\ncdm_data_type = Other\nVARIABLES:\nExperiment_Accession (unitless)\nExperiment_Title (unitless)\nOrganism_Name (unitless)\nInstrument (unitless)\nStudy_Accession (unitless)\nStudy_Title (unitless)\nSample_Accession (unitless)\nTotal_Size_Mb (Mb)\nTotal_Bases (bp)\nLibrary_Name (unitless)\nLibrary_Strategy (unitless)\nLibrary_Source (unitless)\nLibrary_Selection (unitless)\nVent_field (unitless)\nCollection (unitless)\nVent_name (unitless)\nDiveID (unitless)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_914399_v1/index.htmlTable | https://www.bco-dmo.org/dataset/914399![]() | https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_914399_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_914399_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_914399_v1 |