Accessing BCO-DMO data
Brought to you by BCO-DMO
|
|
BCO-DMO ERDDAP
Accessing BCO-DMO data |
log in
Brought to you by BCO-DMO |
| 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_908689_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908689_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_908689_v1/ | public | [Gulf of Alaska copepods: annotated transcriptomes] - Annotated de novo transcriptomes generated from six co-occurring species of calanoid copepods from the R/V Tiglax TXF18, TXS19, TXF15, TXF17 in the Gulf of Alaska from 2015-2019 (Collaborative Proposal: Optimizing Recruitment of Neocalanus copepods through Strategic Timing of Reproduction and Growth in the Gulf of Alaska) | The dataset includes the annotation files of nine high-quality de novo transcriptomes generated from shotgun assemblies of short-sequence reads. The species are ecologically-important members of sub-arctic North Pacific marine zooplankton communities. The de novo assemblies included one generated several years ago plus eight new ones generated from six co-occurring species of calanoid copepods in the Gulf of Alaska. The transcriptomes include the first published ones for Neocalanus plumchrus, Neocalanus cristatus, Eucalanus bungii and Metridia pacifica and three for Neocalanus flemingeri and two for Calanus marshallae. Total RNA from single individuals was used to construct gene libraries that were sequenced on an Illumina Next-Seq platform. Short-sequence reads were assembled with Trinity software and resulting transcripts were annotated using the SwissProt database with additional functional annotation using gene ontology terms and enzyme function. The annotations files are the first ones published for these species. The integrated dataset can be used for quantitative inter- and intra-species comparisons of gene expression patterns across biological processes using the annotations.\n\nThese data are further described in the following publications: Hartline, et al. (2023) (DOI: 10.1038/s41597-023-02130-1), Roncalli, et al. (2022) (DOI: 10.1111/mec.16354), and Roncalli, et al. (2019) (DOI: 10.1038/s42003-019-0565-5)\n\ncdm_data_type = Other\nVARIABLES:\nseq_id (unitless)\nGenbank_accession (unitless)\nSpecies (unitless)\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCollection_date (unitless)\nDepth_range (meters (m))\nLife_stage (unitless)\nSex (unitless)\nEntry (unitless)\n... (20 more variables)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_908689_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_908689_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_908689_v1/index.htmlTable | https://www.bco-dmo.org/dataset/908689
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_908689_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_908689_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_908689_v1 | |||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986592_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986592_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_986592_v1/ | public | [Longitudinal study NCBI SRA] - NCBI Sequence Read Archive (SRA) accession numbers for fastq sequence files of 16S amplicons from a longitudinal study of SCTLD at St. John, U.S. Virgin Islands from 2020 to 2024 (A multi-scale approach to predicting infectious multi-host disease spread in marine benthic communities) | In St. John, U.S. Virgin Islands, a longitudinal study of Colpophyllia natans was conducted. Six corals per site (two sites) were tagged and repeatedly sampled from July 2020 through March 2024, during which time, stony coral tissue loss disease (SCTLD) arrived on the reefs. As the tagged corals contracted SCTLD, coral tissue and near-coral seawater (2-5 centimeters from colony surface) were collected. Coral tissue was separated from the coral skeleton, and the seawater was filtered through 0.2-micrometer (µm) filters. DNA was extracted from the tissue and filters, and 16S ribosomal RNA gene sequencing was done to determine the bacteria and archaea communities that live within and near the corals. The goal of the study was to determine how coral-associated microbiomes are affected by the arrival of SCTLD through time. This data set contains the fastq files of the 16S amplicon sequencing of the coral tissue and near-coral seawater communities. National Center for Biotechnology Information (NCBI) SRA: SRP550314; BioProject: PRJNA1194595\n\ncdm_data_type = Other\nVARIABLES:\nExperiment_Accession (unitless)\nInstrument (unitless)\nStudy_Accession (unitless)\nStudy_Title (unitless)\nSample_Accession (unitless)\nLibrary_Name (unitless)\nCollection_date (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_986592_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_986592_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_986592_v1/index.htmlTable | https://osprey.bco-dmo.org/dataset/986592
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_986592_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_986592_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_986592_v1 | |||
| log in | [Metagenomic samples] - Metagenomic sample information, genetic accession identifiers (NCBI SRA, JGI IMG), and estimated gene copies from Orcas Island coastal waters (2 m depth) in May and June of 2021 (Collaborative Research: Rhythm and Blooms: Deciphering metabolic, functional and taxonomic interactions over the life cycle of a phytoplankton bloom) | This dataset contains NCBI Sequence Read Archive (SRA) accession numbers, DOE JGI Integrated Microbial Genomes & Microbiome (IMG/M) IDs, and estimated gene copies for metagenomic samples collected at Orcas Island, WA, USA Coastal Ocean (2m depth) from 5/27/21 to 6/18/21 collected as part of the following study.\n\nStudy abstract:\n\nFloating, single-celled algae, or phytoplankton, form the base of marine food webs. When phytoplankton have sufficient nutrients to grow quickly and generate dense populations, known as blooms, they influence productivity of the entire food web, including rich coastal fisheries. The present research explores how the environment (nutrients) as well as physical and chemical interactions between individual cells in a phytoplankton community and their associated bacteria act to control the timing of bloom events in a dynamic coastal ecosystem. The work reveals key biomolecules within the base of the food web that can inform food web functioning (including fisheries) and be used in global computational models that forecast the impacts of phytoplankton activities on global carbon cycling. A unique set of samples and data collected in 2021 and 2022 that captured phytoplankton and bacterial communities before, during, and after phytoplankton blooms, is analyzed using genomic methods and the results are used to interrogate these communities for biomolecules associated with blooms stages. The team mentors undergraduates, graduate students, and postdoctoral researchers in the fields of biochemical oceanography, genome sciences, and time-series multivariate statistics. University of Washington organized hackathons to develop publicly accessible portals for the simplified interrogation and visualization of 'omics data, accessible to high schoolers and undergraduates. These portals are implemented in investigator-led undergraduate teaching modules in the University of Rhode Island Ocean Classroom. The research team also returns to Orcas Island, WA, where the field sampling takes place, to host a series of annual Science Weekends to foster scientific engagement with the local community.\nPhytoplankton blooms, from initiation to decline, play vital roles in biogeochemical cycling by fueling primary production, influencing nutrient availability, impacting carbon sequestration in aquatic ecosystems, and supporting secondary production. In addition to influences from environmental conditions, the physical and chemical interactions among planktonic microbes can significantly modulate blooms, influencing the growth, maintenance, and senescence of phytoplankton. Recent work in steady-state open ocean ecosystems has shown that important chemicals are transferred amongst plankton on time-dependent metabolic schedules that are related to diel cycles. It is unknown how these metabolic schedules operate in dynamic coastal environments that experience perturbations, such as phytoplankton blooms. Here, the investigators are examining metabolic scheduling using long-term, diel sample sets to reveal how chemical and biological signals associated with the initiation, maintenance, and cessation of phytoplankton blooms are modulated on both short (hrs) and long (days-weeks) time scales. Findings are advancing the ability to predict and manage phytoplankton dynamics, providing crucial insights into ecological stability and future oceanographic sampling strategies. Additionally, outcomes of this study are providing a new foundational understanding of the succession of microbial communities and their chemical interactions across a range of timescales. In the long term, this research has the potential to identify predictors of the timing of phytoplankton blooms, optimize fisheries management, and guide future research on carbon sequestration.\n\ncdm_data_type = Other\nVARIABLES:\nDateID_PT (unitless)\n... (33 more variables)\n | BCO-DMO | bcodmo_dataset_984169_v1 | ||||||||||||
| 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 | |||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_922330_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_922330_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_922330_v1/ | public | [Multiyear RNA-Seq of Neocalanus flemingeri stages CV and Adult Female] - Multiyear RNA-Seq of Neocalanus flemingeri stages CV and Adult Female from the R/V Tiglax and R/V Sikuliaq in the Northern Gulf of Alaska from 2015-2022 (Collaborative Proposal: Optimizing Recruitment of Neocalanus copepods through Strategic Timing of Reproduction and Growth in the Gulf of Alaska) | High-throughput sequencing study of field-collected Neocalanus flemingeri pre-adults (stage CV) and adult females between 2015 and 2022. Dataset includes information and accession numbers of the raw sequence reads. Zooplankton collections were made in the northern Gulf of Alaska in collaboration with the Seward Long-term Monitoring Program and the northern Gulf of Alaska Long-term Ecological Research Program (LTER). Pre-adults were collected during the spring from multiple stations, sorted from net collections and immediately preserved. Adult females were collected mostly from Prince William Sound, but also on one occasion from the Gulf of Alaska. Adult females were collected from depth during diapause and preserved upon net retrieval. In addition, time series data were generated in three different years to characterize the post-diapause period through the spawning phase. The purpose of the data collection is to generate gene expression profiles during different years and seasons to evaluate developmental stage and physiological state.\n\ncdm_data_type = Other\nVARIABLES:\nExperiment_Accession (unitless)\nExperiment_Title (unitless)\nOrganism_Name (unitless)\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDepth_Range (meters (m))\nDate (unitless)\nYear (unitless)\nMonth (unitless)\nDay (unitless)\nLife_Stage (unitless)\nSex (unitless)\nBioProject (unitless)\nBioSample (unitless)\nSample_Accession (unitless)\nSRA_Run_Accession (unitless)\nStudy_Accession (unitless)\nStudy_Title (unitless)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_922330_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_922330_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_922330_v1/index.htmlTable | https://www.bco-dmo.org/dataset/922330
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_922330_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_922330_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_922330_v1 |