The dataset contains the raw data for the graphs in the paper. This dataset is associated with the following publication: Phillips, R., R. James, and M. Magnuson. Electrolyte Selection and Microbial Toxicity for Electrochemical Oxidative Water Treatment Using a Boron-doped Diamond Anode to Support Site Specific Contamination Incident Response. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 197: 135-141, (2017).

Removal of copper and lead metal ions from water using pyrolized plant materials. Method can be used to develop a low cost point-of-use device for cleaning contaminated water. This dataset is associated with the following publication: DeMessie, B., E. Sahle-Demessie , and G. Sorial. Cleaning Water Contaminated With Heavy Metal Ions Using Pyrolyzed Banana Peel Adsorbents. Separation Science and Technology. Marcel Dekker Incorporated, New York, NY, USA, 50(16): 2448-2457, (2015).

The dataset contains the raw data for the graphs in the paper. This dataset is associated with the following publication: Phillips, R., R. James, and M. Magnuson. Functional categories of microbial toxicity resulting from three advanced oxidation process treatments during management and disposal of contaminated water. CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 238: 124550, (2020).

The U.S. Environmental Protection Agency installed a permeable reactive barrier (PRB) at the Delatte Metals Superfund Site to treat groundwater contaminated with lead and other heavy metals at a former battery recycler in Ponchatoula, Louisiana. The Dataset contains field and laboratory data that resulted from that sampling. Samples for this project were collected from 2004 to 2018.

XRD Raw data collected. This dataset is associated with the following publication: Nadagouda , M., C. Han , D. Dionysiou, and L. Wang. An innovative zinc oxide-coated zeolite adsorbent for removal of humic acid. JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 313: 283-290, (2016).

Berkeley researchers have developed a technology, ElectroChemical Arsenic Remediation (ECAR), that robustly, reliably, and affordably produces arsenic-safe water within a sustainable and scalable business model. ECAR uses an innovative method: a small electric charge creates rust particles from ordinary steel plates which bind to arsenic, allowing for effective filtration. The technology is designed to be robust and low-maintenance enough to work in deep rural areas with almost no tech backup or support. Raw data from field trials of the ECAR technology are included in this data asset. This data was collected from 2012 to 2013, and in 2016 and is accessible via the "Homepage" link, below.

A drinking water method for seven pesticides and pesticide degradates was developed that addresses the occurrence monitoring needs of the U.S. Environmental Protection Agency (EPA) for a future Unregulated Contaminant Monitoring Regulation (UCMR). The method employs on-line solid phase extraction-liquid chromatography/tandem mass spectrometry (SPE-LC/MS/MS). On-line SPE-LC/MS/MS has the potential to offer cost-effective, faster, more sensitive, and more rugged methods than the traditional off-line SPE approach due to complete automation of the SPE process, as well as seamless integration with the LC/MS/MS system. Multi-laboratory data are presented that demonstrate method ruggedness and transferability. The final method meets all of the EPA’s UCMR survey requirements for sample collection and storage, precision, accuracy, and sensitivity. This dataset is associated with the following publication: Shoemaker , J. Development and Multi-laboratory Verification of US EPA Method 543 for the Analysis of Drinking Water Contaminants by Online Solid Phase Extraction-LC–MS-MS. Journal of Chromatographic Science. Preston Publications Incorporated, Niles, IL, USA, 54(9): 1532-1539, (2016).

A drinking water method for seven pesticides and pesticide degradates was developed that addresses the occurrence monitoring needs of the U.S. Environmental Protection Agency (EPA) for a future Unregulated Contaminant Monitoring Regulation (UCMR). The method employs on-line solid phase extraction-liquid chromatography/tandem mass spectrometry (SPE-LC/MS/MS). On-line SPE-LC/MS/MS has the potential to offer cost-effective, faster, more sensitive, and more rugged methods than the traditional off-line SPE approach due to complete automation of the SPE process, as well as seamless integration with the LC/MS/MS system. Multi-laboratory data are presented that demonstrate method ruggedness and transferability. The final method meets all of the EPA’s UCMR survey requirements for sample collection and storage, precision, accuracy, and sensitivity. This dataset is associated with the following publication: Shoemaker , J. Development and Multi-laboratory Verification of US EPA Method 543 for the Analysis of Drinking Water Contaminants by Online Solid Phase Extraction-LC–MS-MS. Journal of Chromatographic Science. Preston Publications Incorporated, Niles, IL, USA, 54(9): 1532-1539, (2016).

The present study highlights the utility of bioeffects-based monitoring in conjunction with analytical chemical measurements of surface waters on the Colorado River associated with a historically bioactive wastewater treatment plant effluent. Concurrent with chemical monitoring and in vitro bioactivity measurements, in situ caged fish systems were employed to evaluate the potential bioavailability of predicted biologically-active contaminants associated with ER, GR, and PPAR-associated activities. The present study compares the effects of a wastewater treatment plant facility upgrade on bioactive contaminant loading. This dataset is associated with the following publication: Cavallin, J., W. Battaglin, J. Beihoffer, B. Blackwell, P. Bradley, A. Cole, D. Ekman, R. Hofer, J. Kinsey, K. Keteles, D. Winkelman, and D. Villeneuve. Effects-Based Monitoring of Bioactive Chemicals Discharged to the Colorado River Before and After a Municipal Wastewater Treatment Plant Replacement. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 55(2): 974-984, (2021).

생태독성관리제도는 기존 개별물질에 의한 수질평가의 한계를 극복하기 위해 도입한 것으로 방류수에 포함된 미지의 유해물질을 살아있는 생물체로 독성 여부를 측정함으로써 산업폐수의 수질을 통합적으로 관리하기 위한 제도입니다.생태독성은 시료에 물벼룩(Daphnia magna)을 투입하여 급성독성을 평가하는 것으로 물벼룩이 독성에 영향을 받게 되는 정도를 생태독성값(TU, Toxic Unit)으로 계산한 것입니다.1. 사어장 생태독성관리를 위해 2008년부터 기술지원하여 측정한 데이터를 기반으로 AI학습 테스트용 합성데이터(가상데이터)를 생성하였습니다.2. 합성데이터 설명- 원본데이터 이용기간 및 건수: 2008~2024년, 1~2회 생태독성 측정값- 원본데이터 특성 : 방류수 생태독성 측정값 1~2회 중 최대값이 생태독성 값임- 합성데이터 특성 : 범주형 및 수치형 데이터 혼재- 합성데이터 활용 : 실제 측정 데이터의 구조와 통계적 특성을 반영하되 민감정보를 포함하지 않아 AI학습 테스트 데이터로 활용 가능