This dataset provides details from stream metabolism models for 11 stream sites in Connecticut that were monitored during 2015-2018 by the U.S. Geological Survey. Metabolism was estimated at each site using the streamMetabolizer package in the R computing environment. When data were collected for multiple years at a site, stream metabolism was separately estimated for each year. For each site and for each year, three files are provided; (1) the input data file, which includes continuous dissolved oxygen, solar time, water temperature, light, and stream depth, (2) the output data file, containing the daily metabolism estimates, and (3) a site-specific html file that serves as a guide for running the streamMetabolizer package for each site. File names include an abbreviated name for the site (The site 'short_name') to distinguish the files associated with each field site. Final metabolism models were run using a fixed value for K600, which is the mean reaeration rate coefficient scaled to a Schmidt number of 600; this fixed value was determined for each site based on initial model calibration runs. In addition to the stream metabolism files, a comma-delimited file containing basic site characteristics is included for reference. This site file includes the USGS site identifier, the site 'short name', the complete USGS site name, and the latitude and longitude of the sampling reach.

Graphitic carbon nitride supported palladium nanoparticles, Pd@g-C3N4, have been synthesized and utilized for the direct oxidative esterification of alcohols using atmospheric oxygen as a co-oxidant via photocatalytic C-H activation. This dataset is associated with the following publication: Verma, S., R.B.N. Baig, R. Varma, and M. Nadagouda. Photocatalytic CH activation and oxidative esterification using Pd@g-C3N4. ACS Sustainable Chemistry & Engineering. American Chemical Society, Washington, DC, USA, 309: 248-252, (2018).

The dataset contains the selected physical properties and chemical constituents that were measured at Caño Boquerón, Cabo Rojo, and Puerto Mosquito, Isla de Vieques, Puerto Rico during a diurnal cycle. Two diel studies were conducted per lagoon to determine the community primary productivity. Photosynthesis creates oxygen which enhances microbiological activity and results in the production of organic matter. Primary productivity is important for supporting the food web in aquatic ecosystems. The field data collection included the measurement of temperature, dissolved oxygen, and percent of oxygen saturation. Measurements were obtained at about 1 hour intervals. Diel studies were conducted on October 29, 2015 and March 2, 2016 at Caño Boquerón, Cabo Rojo, Puerto Rico, and on November 17, 2015 and March 9, 2016 at Puerto Mosquito, Isla de Vieques, Puerto Rico.

A highly selective and sustainable method has been developed for the oxidation of methyl arenes and their analogues. The VO@g-C3N4 catalyst is very efficient in the C-H activation and oxygen insertion reaction resulting in formation of the corresponding carbonyl compounds and phenols. This dataset is associated with the following publication: Verms, S., R.B.N. Baig, M. Nadagouda, and R. Varma. Photocatalytic C–H Activation of Hydrocarbons over VO@g-C3N4. ACS Sustainable Chemistry & Engineering. American Chemical Society, Washington, DC, USA, 4(4): 2333-2336, (2016).

Bottom dissolved oxygen (DO) data was extracted from environmental profiles acquired during the Southeast Fisheries Science Center Mississippi Laboratories summer groundfish trawl surveys of the Western and North-central Gulf of Mexico from 1982-1998. The data were distributed to hypoxia researchers in near real time and used to generate bottom DO maps as part of the Hypoxia Watch Project (http://www.ncddc.noaa.gov/hypoxia/). The profiles were acquired with a Sea-Bird Model SB9 profiler equipped with pressure, temperature, conductivity, fluorescence, and beam transmission sensors. The data were processed with Sea-Bird software using the standard processing protocol developed by the Mississippi Laboratories. Water temperature, beam transmission, and derived salinity, DO and DO percent saturation, and density were retained in the processed files. SAS software was used to extract the bottom DO and other relevant data (e.g., date, time, position, and station number) and format the data as comma-delimited ASCII files.

Transects of near-surface continuous water-quality data and vertical profiles of the same parameters were collected over a 24-hour period from September 7 to September 8, 2023 in the Arthur Kill. The Arthur Kill is a tidal strait located between Staten Island, New York, and Union and Middlesex Counties, New Jersey, and connects Newark Bay to the north and Raritan Bay to the south. It is a major shipping channel for the Port of New York and New Jersey surrounded by industrial and highly developed land. Transects were collected using a Yellow Springs Instruments (YSI) EXO2 series water-quality sonde with a 5-second data collection interval while the boat was in motion. Vertical profiles of water-quality parameters were collected using a YSI EXO2 series water-quality sonde with 1-second data collection interval. A stationary YSI EXO2 series water-quality sonde collecting 5-minute data at a depth of approximately 1 meter was deployed in the waterway during this time as a point of reference. Data are stored in three zip files: 1) the near-surface continuous transect data, 2) the vertical profile data, and 3) the stationary sonde data. In addition, the continuous transect data can be viewed as an online webmap: https://ny.water.usgs.gov/maps/arthurkillwaterquality

This data set, compiled by the USGS Lake Erie Biological Station, provides near-bottom measurements of temperature and dissolved oxygen for the Central Basin of Lake Erie. Data were recorded by self-contained environmental data loggers (PME, Inc., MiniDOT data loggers). The data loggers were deployed to collect data during mid-May 2021 through late October 2021 to better understand how hypoxia develops and influences fish habitat quality during lake stratification. The data loggers were deployed on acoustic telemetry receivers in a network designed to record tagged fish movements (Great Lakes Acoustic Telemetry Observation System, GLATOS). Additional years of data collection are planned, and data release will be updated as necessary.

This data set, compiled by the USGS Lake Erie Biological Station, provides near-bottom measurements of temperature and dissolved oxygen for the Central Basin of Lake Erie. Data were recorded by self-contained environmental data loggers (PME, Inc., MiniDOT data loggers). The data loggers were deployed to collect data during mid-May 2021 through late October 2021 to better understand how hypoxia develops and influences fish habitat quality during lake stratification. The data loggers were deployed on acoustic telemetry receivers in a network designed to record tagged fish movements (Great Lakes Acoustic Telemetry Observation System, GLATOS). Additional years of data collection are planned, and data release will be updated as necessary.