This dataset comprises of weekly concentrations of fluoroquinolones in wastewater and receiving waters collected in the Avon river catchment South West UK. The following fluoroquinolones were analysed: (±)-ofloxacin, (±)-ofloxacin-N-oxide, (±)-desmethyl-ofloxacin, (±)-lomefloxacin, (±)-moxifloxacin, S,S-moxifloxacin-N-sulfate, R-(+)-besifloxacin, (±)-prulifloxacin, (±)-ulifloxacin, (±)-flumequine and (±)-nadifloxacin; ciprofloxacin, desethylene-ciprofloxacin, norfloxacin and nalidixic acid. The concentrations of (fluoro)quinolones were measured in receiving treated wastewater from 5 wastewater treatment plants (WWTPs), which serves 1.5 million people accounting for 75% of inhabitants living in the catchment area in the South West of England. NERC Grant NE/N019261/1 Full details about this dataset can be found at https://doi.org/10.5285/f4c79bd3-3ce9-4f4e-ae19-bb4fd2dce7a5

[This dataset is embargoed until December 31, 2026]. This dataset includes a range of determinants present in sediments and water at 8 locations along the Thane River, Vashi Creek, Mumbai between October 2021 and November 2023. Variables measured include geochemical parameters pH, Ec, OM, MC, LOI, TOC, potentially toxic elements; Al, As, Al, Ca, Cd, Co, Cr, Cu, Fe, Mg, Mn, Ni, Pb, Sn, Se, V, Zn, and anions; fluoride, nitrite, bromide, nitrate, phosphate, and sulphate. Data also includes antibiotic quantification within the Creek over the same time point. Data includes quantity of Azithromycin, Ciprofloxacin, Enrofloxacin, Erythromycin, Levofloxacin, Linezolid, Oxacillin, Penicillin, and Sulfamethazine. Full details about this dataset can be found at https://doi.org/10.5285/b22b914c-e2fc-4298-879a-1bd24f242b3c

Prevalence of quinolone qnrS resistance gene in the aquatic environment from the Avon river catchment area receiving treated wastewater from 5 wastewater treatment plants (WWTPs), serving 1.5 million people and accounting for 75% of inhabitants living in the catchment area in the South West of England. Funded by NERC Grant NE/N019261/1 Full details about this dataset can be found at https://doi.org/10.5285/102f8141-2a9a-4ffd-89f6-961af36ddcb3

Antibiotic susceptibility tests are presented as the zone of inhibition using the disc-diffusion method, and categorized as resistant, intermediate or susceptible. DNA samples from antibiotic-resistant bacteria were analysed for the presence or absence of resistance genes using polymerase chain reaction (PCR). Laboratory analyses were conducted by trained staff at the International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b). The aim of the study was to identify the antibiotic-susceptibility profiles and resistance genes of bacteria (Escherichia coli) obtained from humans, poultry and the environment. Bacterial isolates previously identified with resistance to third-generation cephalosporins or carbapenems were included in the analysis. Bacterial samples originated from rural households and poultry farms (broiler chickens) in Mirzapur, Tangail district; and urban food markets in Dhaka city, Bangladesh. Environmental samples included surface water, water supply, wastewater, soil, animal faeces (poultry and cattle) and solid waste. The survey was part of a wider research project, Spatial and Temporal Dynamics of Antimicrobial Resistance Transmission from the Outdoor Environment to Humans in Urban and Rural Bangladesh. The research was funded by NERC/BBSRC/MRC on behalf of the Antimicrobial Resistance Cross-Council Initiative award NE/N019555/1. Full details about this dataset can be found at https://doi.org/10.5285/dda6dd55-f955-4dd5-bc03-b07cc8548a3d

A cross-sectional, interviewer-administered survey was conducted in 2017 in rural households, poultry farms and urban food markets. Survey data for each setting comprise three datafiles. The rural households and poultry farms (broiler chickens) were located in Mirzapur, Tangail district; urban food markets were located in Dhaka city, Bangladesh. In each setting, the survey included participants that had high exposure to poultry, and a comparison group that had lower exposure to poultry. The aim of the survey was to assess potential sources of exposure to antibiotic-resistant bacteria, particularly commensal bacteria that colonise the gastrointestinal tract of humans and poultry. The survey also assessed the use of antibiotics for human participants and practices relating to their poultry such as type of feed, housing, use of antibiotics for poultry and hygiene practices before and after being in contact with poultry. The survey was part of a wider research project, Spatial and Temporal Dynamics of Antimicrobial Resistance Transmission from the Outdoor Environment to Humans in Urban and Rural Bangladesh. The research was funded by NERC/BBSRC/MRC on behalf of the Antimicrobial Resistance Cross-Council Initiative, award NE/N019555/1. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/b4a90182-8b9c-4da8-8b95-bcd5acc727d1

The dataset includes information on antibiotic-resistance and resistance genes in bacteria (Escherichia coli) from humans, poultry and the environment in rural households, poultry farms and urban food markets. The rural households and poultry farms (broiler chickens) were located in Mirzapur, Tangail district; and urban food markets were located in Dhaka city, Bangladesh. Environmental samples were collected from surface water, water supply, wastewater, soil, animal faeces (poultry and cattle) and solid waste between February 2017 and October 2018 . DNA samples from antibiotic-resistant bacteria found in all samples were analysed for quantitative assessment of two resistance genes. Trained staff from the International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b) undertook sample collection and laboratory analysis. The aim of the study was to assess the prevalence and abundance of antibiotic-resistant bacteria and associated genes among humans, poultry and environmental compartments in Bangladesh. The survey was part of a wider research project, Spatial and Temporal Dynamics of Antimicrobial Resistance Transmission from the Outdoor Environment to Humans in Urban and Rural Bangladesh. The research was funded by NERC/BBSRC/MRC on behalf of the Antimicrobial Resistance Cross-Council Initiative award NE/N019555/1. Full details about this dataset can be found at https://doi.org/10.5285/0239cdaf-deab-4151-8f68-715063eaea45

This dataset contains the concentration of eleven antibiotics (trimethoprim, oxytetracycline, ciprofloxacin, azithromycin, cefotaxime, doxycycline, sulfamethoxazole, erythromycin, clarithromycin, ofloxacin, norfloxacin), three decongestants (naphazoline, oxymetazoline, xylometazoline) and the antiviral drug oseltamivir's active metabolite, oseltamivir carboxylate, measured at 21 locations within the River Thames catchment in England. The measurements were taken weekly during November 2009, once in March 2010 and once in May 2011, with the aim to quantify pharmaceutical usage during the influenza pandemic of 2009 and how this compares to inter-pandemic drug use. River samples were acquired by grab samples in glass jars and analysed by liquid chromatography tandem mass spectrometry (LC MS). Two wastewater treatment plants (WWTPs) in southern England (Benson and Oxford) were also sampled during the peak of the second wave of the 2009 influenza A[H1N1]pdm09 pandemic (10-11 November 2009) and on 15 May 2011 using an automated sampler set to acquired hourly (time proportional) samples from the influent and effluent of the WWTPs. The WWTPs are the source for all the drugs found in the river, hence, these were studied to understand the differential fate of the analytes in the two very different WWTPs. Flows for the WWTP and River sampling locations are presented for each of the sampling times to allow for determining hourly loads for the WWTP and daily loads for the river. Full details about this dataset can be found at https://doi.org/10.5285/8af983e4-e97d-4c07-a34d-753243fa283b