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 Email Institution Dataset ID
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 (external link) 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_945915_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945915_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_945915_v1/ public [Metagenome sequencing samples] - Contextual data for samples collected for metagenome sequencing from the deep subseafloor biosphere as accessed via CORKs along the Juan de Fuca Ridge flank in the Northeast Pacific Ocean between 2008 and 2014 (Collaborative Research: Illuminating microbes and their viruses within the dark ocean crust through strain-level approaches) This dataset provides contextual information about samples used for metagenome sequencing. These samples were collected from pristine crustal fluids sampled via CORK observatories along the Juan de Fuca Ridge flank in the Northeast Pacific Ocean off the coast of North America. Also included are metadata for seawater and sediment metagenomes that have been sequenced as controls. All of the data are publicly available via the National Center for Biotechnology Information (NCBI) accession numbers provided in the dataset (BioProject numbers PRJNA655018 to PRJNA655040).\n\ncdm_data_type = Other\nVARIABLES:\nSample_Type (unitless)\nSample_Name (unitless)\nDNA_Isolation_Method (unitless)\nCollection_Date (unitless)\nCollection_Year (unitless)\nCollection_Month (unitless)\nCollection_Day (unitless)\nSample_Source (unitless)\nFluid_Delivery_Line (unitless)\nEnvironment (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDepth (msb)\nArea (unitless)\nFull_Sample_Name_and_Description (unitless)\nIMG_Genome_ID (unitless)\nNCBI_Bioproject_Accession (unitless)\nNCBI_Biosample_Accession (unitless)\nSRA_ID (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_945915_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_945915_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_945915_v1/index.htmlTable https://www.bco-dmo.org/dataset/945915 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_945915_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_945915_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_945915_v1
log in [NCBI accessions for RNAseq data from apparently healthy and SCTLD-affected Montastraea cavernosa] - RNAseq data from apparently healthy and Stony Coral Tissue Loss Disease-affected Montastraea cavernosa coral collected from St. Thomas, US Virgin Islands in 2020 (RAPID: Collaborative Research: Predicting the Spread of Multi-Species Coral Disease Using Species Immune Traits) These data include raw RNAseq reads from Montastraea cavernosa collected from two reefs in St. Thomas, United States Virgin Islands. Samples were collected from two reefs showing signs of active stony coral tissue loss disease (SCTLD) in February of 2020: Buck Island and Black Point. Black Point, a nearshore reef, first exhibited cases of SCTLD between December 2018 and January 2019, whereas Buck Island, situated near an offshore undeveloped island, recorded its first cases of SCTLD in October 2019. At both sites, one coral fragment was collected from each apparently health colony (Buck Island, n = 3; Black Point, n = 3), termed apparently healthy tissue on an apparently healthy colony (HH). Two fragments were collected from each diseased colony: one immediately adjacent to the SCTLD lesion line (Buck Island, n = 3: Black Point, n = 5), termed lesion tissue on a diseased colony (LD), and one as far away from the lesion line as possible (approximately 10 cm from the lesion line) (Buck Island, n = 3; Black Point, n = 5), termed apparently healthy tissue on a diseased colony (HD). Sample and data analysis was performed in January 2024. Sequences were used in a feature selection algorithm to identify the genes in M. cavernosa and its dominant algal endosymbiont, Cladocopium goreaui, that best discriminate between the three SCTLD health states. By characterizing the gene expression profiles associated with various tissue health states in M. cavernosa and C. goreaui, this data supports evidence that SCTLD causes dysbiosis between the coral host and its Symbiodiniaceae and describes the metabolic and immune shifts that occur as the holobiont transitions from an apparently healthy state to a diseased state.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\nNCBI_BioProject_accession (unitless)\nNCBI_BioSample_accession (unitless)\nNCBI_SRA_accession (unitless)\nSample_type (unitless)\nCoral_species (unitless)\nReef_Name (unitless)\nReef_type (unitless)\nCollection_Date (unitless)\nlatitude (degrees_north)\n... (15 more variables)\n BCO-DMO bcodmo_dataset_935630_v1

 
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