Raw sequencing and amplicon sequence variant data from bacterial communities shed by Montastraea cavernosa coral fragments into filtered seawater mesocosms
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The files provided in this U.S. Geological Survey (USGS) data release (Kellogg and others, 2021) include an amplicon sequence variant (ASV) table and the raw 16S rRNA gene amplicon files from six microbial communities (Mcav17, Mcav18, McH-101, McH-103, McD-57, and McD-58) derived from mesocosms consisting of filtered seawater in which either healthy or diseased (stony coral tissue loss disease) fragments of Montastraea cavernosa had been incubated, as well as sequence files of a mock community and extraction kit blank. Mesocosms were inoculated at the Smithsonian Marine Station located in Fort Pierce, Florida, during two separate trips: one in October 2019 and the other in November 2020. The coral fragments were collected between April 2018 and November 2020, from various locations throughout the Florida Keys. Mesocosms were set up by placing the coral fragments into filtered seawater for 4-5 days and then the fragments were removed so the water could be processed. The mock community was sequenced to assess any biases in the sequencing technology, while extraction blanks were sequenced to identify any contaminants in the DNA extraction kit.
16S rRNA gene sequencing and E. coli for shorelines and the Grand Calumet River, Indiana, 2015, (version 2.0, July 2019)
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Data were collected in August and September 2015 for analysis of bacteria communities of the Grand Calumet River and associated shorelines. Water samples were collected on three occasions corresponding to one rain-related (wet) events and two non-rain (dry) events. Water samples were collected in the Grand Calumet River, at the mouth of the river, at offshore locations around the peninsular impoundment and at shoreline locations: Jeorse Park (East Chicago, Indiana), Whihala (Whiting, Indiana), and 63rd Street (Chicago, Illinois) beaches. Samples were collected in triplicate, and water was filtered at the USGS Lake Michigan Ecological Research Station. After DNA extraction, samples were analyzed using 16S rRNA sequencing using Illumina sequencing. Taxonomic identification was assigned for communities in each sample, at multiple taxonomic levels (Kingdom, Phylum, Class, Order, Family, Genus). Water was also analyzed for E. coli bacteria and turbidity, at the USGS laboratory. Hydrological conditions corresponding to the days of sample collection were obtained from publicly available USGS information (NWIS-National Water Information System). The coordinate file includes information regarding sampling locations and their corresponding latitude and longitudes. The Data file include E. coli densities, laboratory turbidity measurements, and NWIS hydrological data. The raw metagenomic data can be accessed at the NCBI repository under the biproject accession PRJNA541325: https://www.ncbi.nlm.nih.gov/sra/PRJNA541325
16S rRNA gene sequencing and E. coli for shorelines and the Grand Calumet River, Indiana, 2015, (version 2.0, July 2019)
공공데이터포털
Data were collected in August and September 2015 for analysis of bacteria communities of the Grand Calumet River and associated shorelines. Water samples were collected on three occasions corresponding to one rain-related (wet) events and two non-rain (dry) events. Water samples were collected in the Grand Calumet River, at the mouth of the river, at offshore locations around the peninsular impoundment and at shoreline locations: Jeorse Park (East Chicago, Indiana), Whihala (Whiting, Indiana), and 63rd Street (Chicago, Illinois) beaches. Samples were collected in triplicate, and water was filtered at the USGS Lake Michigan Ecological Research Station. After DNA extraction, samples were analyzed using 16S rRNA sequencing using Illumina sequencing. Taxonomic identification was assigned for communities in each sample, at multiple taxonomic levels (Kingdom, Phylum, Class, Order, Family, Genus). Water was also analyzed for E. coli bacteria and turbidity, at the USGS laboratory. Hydrological conditions corresponding to the days of sample collection were obtained from publicly available USGS information (NWIS-National Water Information System). The coordinate file includes information regarding sampling locations and their corresponding latitude and longitudes. The Data file include E. coli densities, laboratory turbidity measurements, and NWIS hydrological data. The raw metagenomic data can be accessed at the NCBI repository under the biproject accession PRJNA541325: https://www.ncbi.nlm.nih.gov/sra/PRJNA541325
Deep SEARCH eDNA metabarcoding data
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The Deep SEARCH Project (Deep sea exploration to advance research on cold corals/canyon/cold seep habitats) included a cruise in April 2019 aboard the NOAA ship Ron Brown to various sites along the Mid-Atlantic North American coast. An ROV was used to collect samples of bottom water at these sites, which were then subjected to eDNA extraction and analyses. This data release describes what samples were collected for eDNA analyses, and how eDNA was extracted, sequenced, and bioinformatically analyzed.
Bacteriology data from moored buoy casts and other instruments in the Delaware Bay and North Atlantic Ocean during the Ocean Continental Shelf (OCS-Mid Atlantic Ocean) project, 1976-11-05 to 1977-08-16 (NCEI Accession 7800207)
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Bacteriology data were collected using moored buoy casts and other instruments in the Delaware Bay and North Atlantic Ocean from November 5, 1976 to August 16, 1977. Data were submitted by Virginia Institute of Marine Science - Gloucester Point as part of the Ocean Continental Shelf (OCS-Mid Atlantic Ocean) project. Data has been processed by NODC to the standard NODC F009 Bacteriology formats. The F009 format is designed to support bacteriological studies of the water column and ocean bottom. Information on environmental conditions, physical measurements of the water and sediment, and density of heterotrophic, hydrocarbonoclastic, and halophilic bacteria are presented. The format contains five data record types, each 80 characters in length, sorted by station ad sequence numbers. The first nine columns for all records are to be used for file name (columns 1-3) and file identifier (columns 4-9). The file identifier, to be assigned by the originator, is a unique originator id for each data submission. After submission, the NODC reassigns to this field a unique NODC identifier for internal use.
Microbial and environmental dataset from Crocker Reef, Florida Keys, 2014-2015
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Crocker Reef was the site of an integrated reefscape characterization effort focused on calcification and related biogeochemical processes as part of the USGS Coral Reef Ecosystem Study (CREST) project. This effort included two intensive seasonal sampling trips to capture summer (July 8 to 17, 2014) and winter (January 29 to February 5, 2015) conditions. This data release represents water column microbial and environmental data collected for use as metadata in future publications examining reef metabolic processes via metagenomes derived from water samples and fine-scale temporal and spatial carbonate chemistry measurements. Microbial data are total bacterial counts per milliliter seawater, total viral counts per milliliter of seawater, and plate counts using Thiosulfate Citrate Bile Salts Sucrose (TCBS) agar of Vibrio (bacteria) per milliliter of seawater. Environmental data are water temperature, salinity, dissolved oxygen, and pH.
Microbial and environmental dataset from Crocker Reef, Florida Keys, 2014-2015
공공데이터포털
Crocker Reef was the site of an integrated reefscape characterization effort focused on calcification and related biogeochemical processes as part of the USGS Coral Reef Ecosystem Study (CREST) project. This effort included two intensive seasonal sampling trips to capture summer (July 8 to 17, 2014) and winter (January 29 to February 5, 2015) conditions. This data release represents water column microbial and environmental data collected for use as metadata in future publications examining reef metabolic processes via metagenomes derived from water samples and fine-scale temporal and spatial carbonate chemistry measurements. Microbial data are total bacterial counts per milliliter seawater, total viral counts per milliliter of seawater, and plate counts using Thiosulfate Citrate Bile Salts Sucrose (TCBS) agar of Vibrio (bacteria) per milliliter of seawater. Environmental data are water temperature, salinity, dissolved oxygen, and pH.