This dataset includes bacterial abundance, cell volume and activity data collected using CTD rosette and bottle sampler. These data were collected aboard Nathaniel B. Palmer during cruises 96-4a (OCT 17-NOV 06, 1996), 97-01 (Jan 14 - Feb 06, 1997), and 97-03 (Apr 12 - 28, 1997), as part of the JGOFS Southern Ocean Project. The principal investigator is Dr. Hugh Ducklow, Virginia Institute of Marine Science.

The accession contains New York City Department Harbor Survey Data from years 1968 to 1990. Station data was collected as part of the NYC Department of Environmental Protection's Harbor Survey at the Hudson River along Manhattan, New York Bight, Long Island Sound. Parameters measured were salinity, dissolved oxygen, total coliform counts/ml, and fecal coliform counts/100 ml were recorded as 80-column ASCII files (SAS file format); each line in the file represents sampling data from a single site per day. Data was submitted on a diskette. A hardcopy of a README file which interprets the file format and a map of the study site is included in the documentation. Principal Investigator was Dr. Alan I. Stubin of Institute: NYC DEP (Marine Science Branch, Ward's Island).

The Marine Bacteria (F009) data set contains data from bacteriological studies of the water column and ocean bottom. Data include the density (number per unit volume, weight, or area of sample) of heterotrophic, hydrocarbonoclastic or halophilic bacteria, as well as, identification of the cruise station and senior scientist; physical measurements of the water or sediment; general environmental conditions at the time of sample collection.

Changes in ocean conditions such as chemical and thermal shifts are habitat pressures on marine organisms. As the basis of the marine food web, microorganisms such as bacteria and phytoplankton are responsible for important biogeochemical processes, such as nutrient cycling, and the primary production. They are also part of the environment surrounding aquatic organisms such as marine mammals, and serve as a source of both beneficial and harmful microbes associated with larger organisms. Due to their small size and direct physiological interactions with seawater, these microorganisms can rapidly respond to environmental changes, resulting in shifts in community composition and in relative abundances of community members. Shifts at these trophic levels can cause a ripple effect in the structure and function of the ecosystem for coastal and offshore species. Most assessments of biological responses to ocean acidification (OA) have been performed by controlled conditions, and there have been few opportunities to evaluate real-world relationships between biology and OA. This project leverages the sampling and chemical analyses conducted during the northern leg of the 2016 West Coast Ocean Acidification Cruise led by the Pacific Marine Environmental Laboratory (PMEL) to document ocean chemistry in the California Current during a period of likely coastal upwelling and greater ocean acidification. During that cruise, water from the same water samples that were used for chemical measurements by PMEL were preserved & analyzed for cellular abundances of bacterioplankton and eukaryotic picoplankton.

Variability in abundance of virus-like particles (VLP), VLP decay rates and prokaryotic mortality due to viral infection were determined in three Antarctic areas: Bellingshausen Sea, Bransfield Strait and Gerlache Strait, during December 1995 and February 1996. VLP abundance showed very small spatial variability in the three areas (7 X 10^6 - 2 X 10^7 VLP/ml). VLP abundance, on the other hand, decreased one order of magnitude from the surface to the bottom, in two stations where deep vertical profiles were sampled. Low seasonal variability in VLP abundance was found when comparing each area separately. Diel VLP variability was also very low. VLP abundance showed the lowest values when solar irradiation was maximal, in two of the three stations where diel cycles were examined. Viral decay rates (VDR) were determined using KCN in two kinds of experiments. Prokaryotic mortality due to viral infection was always higher than that due to bacterivores in the stations where both factors of prokaryotic mortality were measured. Viral infection accounted for all the prokaryotic heterotrophic production in Bellingshausen Sea and Gerlache Strait and for half of the prokaryotic heterotrophic production in Bransfield Strait. These high values of prokaryotic mortality due to viral infection are difficult to reconcile in nature, and more work is necessary to determine the mechanisms involved in the disappearance of viruses.

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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.

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.

The files provided in this U.S. Geological Survey (USGS) data release (Kellogg and Voelschow, 2021) are the raw DNA sequence files referenced in the associated journal article (Kellogg and Pratte, 2021) entitled, “Unexpected diversity of Endozoicomonas in deep-sea corals.”. This dataset, PRJNA699458_16S-V3V4_raw_data_1.zip, represents the 16S rRNA gene amplicon surveys of 28 samples of deep-sea corals, including Acanthogorgia aspera (n=5), Acanthogorgia spissa (n=4), Desmophyllum dianthus (n=7), and Lophelia pertusa [Desmophyllum pertusum] (n=12), plus a kit extraction control blank. The sequencing targeted the V3-V4 variable region (primers 341F/806R) and was completed using an Illumina MiSeq sequencing system with version 2 chemistry to obtain paired-end reads.

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.