Identify sources of high E. coli concentrations, Grand Calumet River Area of Concern beaches of southern Lake Michigan, 2016-2018
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Data were collected as part of a study to identify sources of E. coli contamination at several beaches located in the Grand Calumet River Areas of Concern, located in northern Indiana on Lake Michigan. The study was funded by the Great Lakes Restoration Initiative. Water samples were collected at each site (Jeorse Park 1, Jeorse Park 2, Hammond East, Hammond West, Whihala West, Whihala East, Whihala west breakwater, Hammond Marina, Whihala offshore locations, and the Grand Calumet River) one day a week or three times a week between 2015 and 2018. While the 2015 data were included in analysis, these data were previously publicly released https://doi.org/10.5066/F7H70F3D. Samples (water, sand, sediment) were analyzed for E. coli bacteria (an indicator bacterium for fecal contamination) and species-specific molecular markers (microbial source tracking, MST), including human (HF183, Mnif), gull (Gull2), and dog (DogBact). Presence of MST markers indicates a fecal source associated with the target animal at that location. Bird counts were recorded during each site visit. Water samples were analyzed in the laboratory for E. coli using defined substrate technology, for MST markers using quantitative polymerase chain reaction (qPCR) methods, and turbidity, conductivity, and pH. Additionally in 2015, samples were collected during two dry and one wet event and subjected to metagenomics analysis for determining bacterial communities. The additional samples were collected at Whihala, Jeorse Park, Grand Calumet River, as well as three offshore locations associated with the Grand Calumet River: mouth to the lake at a peninsular structure and north and east of the structure. Lat_long file includes information regarding sampling locations and their corresponding latitude and longitudes. The EcoliWaterChem data include E. coli densities and water chemistry (turbidity, conductivity, pH) measurements. Data from the MST file includes results from quantitative polymerase chain reaction (qPCR) method for detection of host-specific microbial source tracking markers as follows: Gulls (Gull2), Dogs (DogBact), and human (HF183, Mnif). Data from Birds included number of birds (gulls, geese, ducks, cormorants, etc.) counted on the beach and in the water. The metagenomics file includes taxonomic information and corresponding percent abundance of each organism for each sample. The metagenomics file includes taxonomic information and corresponding organisms' percent abundance for each sample. The metagenomicsKey file includes information pertinent to individual samples.
Identify sources of high E. coli concentrations, beaches of southern Lake Michigan, 2015, (version 2.0, July 2020)
공공데이터포털
Data were collected as part of a study to identify sources of E. coli contamination at several beaches located in the Grand Calumet River Areas of Concern, located in northern Indiana on Lake Michigan, as well as in Illinois and Wisconsin on Lake Michigan. Water samples were collected at each site in Indiana three times a week for thirteen weeks and at each site in Illinois and Wisconsin. All samples were analyzed for E. coli bacteria (an indicator bacteria for fecal contamination) and species-specific molecular markers (microbial source tracking, MST), including human, gull, and dog. Presence of MST markers indicates a fecal source at that location associated with the target animal. Field conditions were recorded during each site visit (e.g., including air and water temp, wind speed and direction, rainfall, wave height, currents, observations). Water samples were analyzed in the laboratory for E. coli using defined substrate technology and for MST markers using quantitative polymerase chain reaction (qPCR) methods and also turbidity. Lat_long_v2 file includes information regarding sampling locations and their corresponding latitude and longitudes. The E coli_turbidity_v2 data include E. coli densities and turbidity measurements. Data from the qpcr_v4 file includes results from quantitative polymerase chain reaction (qPCR) method for detection of host-specific microbial source tracking markers. Data from SanitarySurvey includes ambient conditions measured in the field: water and air temperature, current speed and direction (eastward, westward, float method), wind direction and speed, wave height, rainfall, and cloud cover. Data from SanitarySurvey_birds included number of birds (gulls, geese, ducks, cormorants, etc.) counted on the beach and in the water. The PowerWater.pdf is the DNA extraction kits' user manual giving detailed instructions for use.
Identify sources of high E. coli concentrations, beaches of southern Lake Michigan, 2015, (version 2.0, July 2020)
공공데이터포털
Data were collected as part of a study to identify sources of E. coli contamination at several beaches located in the Grand Calumet River Areas of Concern, located in northern Indiana on Lake Michigan, as well as in Illinois and Wisconsin on Lake Michigan. Water samples were collected at each site in Indiana three times a week for thirteen weeks and at each site in Illinois and Wisconsin. All samples were analyzed for E. coli bacteria (an indicator bacteria for fecal contamination) and species-specific molecular markers (microbial source tracking, MST), including human, gull, and dog. Presence of MST markers indicates a fecal source at that location associated with the target animal. Field conditions were recorded during each site visit (e.g., including air and water temp, wind speed and direction, rainfall, wave height, currents, observations). Water samples were analyzed in the laboratory for E. coli using defined substrate technology and for MST markers using quantitative polymerase chain reaction (qPCR) methods and also turbidity. Lat_long_v2 file includes information regarding sampling locations and their corresponding latitude and longitudes. The E coli_turbidity_v2 data include E. coli densities and turbidity measurements. Data from the qpcr_v4 file includes results from quantitative polymerase chain reaction (qPCR) method for detection of host-specific microbial source tracking markers. Data from SanitarySurvey includes ambient conditions measured in the field: water and air temperature, current speed and direction (eastward, westward, float method), wind direction and speed, wave height, rainfall, and cloud cover. Data from SanitarySurvey_birds included number of birds (gulls, geese, ducks, cormorants, etc.) counted on the beach and in the water. The PowerWater.pdf is the DNA extraction kits' user manual giving detailed instructions for use.
Microbial communities and bacterial indicators for shoreline sand, sediment, and water in Racine, Wisconsin; Chicago, Illinois; and East Chicago, Indiana; 2016-2017
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The data associated with the following data release were collected between 2016 and 2017 at three locations on Lake Michigan: Racine, WI; Chicago, IL; and East Chicago, IN. Individual water samples were collected one day a week for ten weeks between June and August. Samples were collected from eight specific sites made up of two river and six shoreline type environments. Sampling was completed at sites where various morphology (embayment, sand and sediment characteristics, size and shape) and hydrologic conditions (currents and waves) were present. Then samples were analyzed using microbial communities (metagenomic analysis), markers of contamination (microbial source tracking), and fecal indicator bacteria (E. coli).
Microbial communities and bacterial indicators for shoreline sand, sediment, and water in Racine, Wisconsin; Chicago, Illinois; and East Chicago, Indiana; 2016-2017
공공데이터포털
The data associated with the following data release were collected between 2016 and 2017 at three locations on Lake Michigan: Racine, WI; Chicago, IL; and East Chicago, IN. Individual water samples were collected one day a week for ten weeks between June and August. Samples were collected from eight specific sites made up of two river and six shoreline type environments. Sampling was completed at sites where various morphology (embayment, sand and sediment characteristics, size and shape) and hydrologic conditions (currents and waves) were present. Then samples were analyzed using microbial communities (metagenomic analysis), markers of contamination (microbial source tracking), and fecal indicator bacteria (E. coli).
E. coli dataset at from the Outfall of the Nogales International Wastewater Treatment Plant, geographic NAD83 (Water Years 2009–2015)
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This dataset contains E. coli data collected at the Outfall of the Nogales International Wastewater Treatment Plant (NIWTP; SC6, 312724110580501) by U.S. International Boundary and Water Commission (IBWC) personnel. The IBWC collects discrete samples at the Outfall of the NIWTP daily or weekly by dipping a 100 mL sterilized IDEXX bottle in the centroid of flow. Samples are kept chilled and shipped to Turner Laboratories Inc. or Legend Technical Services Inc. Both laboratories use standard method 9223B for E. coli analysis, which uses the Colilert™-24 (Colilert) and Quanti-Tray®/2000 (Quanti-Tray) system. The holding time specified for wastewater is 30 hours. The dataset is a compilation of multiple paper records. E.coli concentrations reported as 0 most probable number (MPN) per100 mL were qualified as less than the 1 MPN/100mL specified by the Colilert test. The datasest includes E. coli concentration data for the period of June 01, 2009 to March 31, 2015.
Fecal bacteria and microbial source tracking marker data in the Rio Grande, Albuquerque, New Mexico 2017-2020
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The dataset includes Escherichia coli concentrations collected by Isleta Pueblo in the Middle Rio Grande in Albuquerque, NM, from 2017 to 2020. These data were pulled from National Water Quality Monitoring Council, 2021, Water Quality Portal, accessed December 5, 2021, at https://www.waterqualitydata.us.
Fecal bacteria and microbial source tracking marker data in the Rio Grande, Albuquerque, New Mexico 2017-2020
공공데이터포털
The dataset includes Escherichia coli concentrations collected by Isleta Pueblo in the Middle Rio Grande in Albuquerque, NM, from 2017 to 2020. These data were pulled from National Water Quality Monitoring Council, 2021, Water Quality Portal, accessed December 5, 2021, at https://www.waterqualitydata.us.
Nuisance algae: Planktonic communities in the Grand Calumet River Area of Concern, Indiana, 2021
공공데이터포털
The data being released were part of a project funded by the United States Environmental Protection Agency (USEPA). This study sought to identify the bacterial and planktonic communities (cyanobacteria, eukaryotic algae) potentially contributing to eutrophication within the Grand Calumet River Area of Concern (AOC) in northern Indiana along the southern shore of Lake Michigan. In 2021, triplicate water samples were collected from five locations during three events, 4/19/21 and 4/20/21, 7/7/21, and 9/15/21. Water samples were processed and planktonic communities were determined by a DNA-based technology (algal metabarcoding). Sampling locations: 1. Columbia Avenue, Hammond, IN 2. Lake George drainage ditch, Hammond, IN 3. Indiana Harbor Canal at Canal Street in East Chicago, IN 4. Airport Road in Gary, IN 5. Marquette Park Lagoon in Gary, IN