A toxicity/tissue residue database for aquatic organisms exposed to inorganic and organic chemicals. This database is a resource for use in the systematic investigation of hypotheses related to effect/residue relationships.

This dataset consists of aquatic toxicity data for oil spill surface washing agents. This dataset is associated with the following publication: Alloy, M., D. Sundaravadivelu, R. Conmy, P. Meyer, and M. Barron. Determination of Aquatic Hazard Concentrations for the Oil Spill Response Product Class of Surface Washing Agents using Species Sensitivity Distributions. MARINE POLLUTION BULLETIN. Elsevier Science Ltd, New York, NY, USA, 193: 115063, (2023).

This dataset consists of aquatic toxicity data for oil spill surface washing agents. This dataset is associated with the following publication: Alloy, M., D. Sundaravadivelu, R. Conmy, P. Meyer, and M. Barron. Determination of Aquatic Hazard Concentrations for the Oil Spill Response Product Class of Surface Washing Agents using Species Sensitivity Distributions. MARINE POLLUTION BULLETIN. Elsevier Science Ltd, New York, NY, USA, 193: 115063, (2023).

Results of partial least squares (PLS) analysis of metabolite changes and contaminant concentrations to determine contaminants most likely to responsible for biological effects and to screen against those contaminants not responsible. This dataset is associated with the following publication: Ekman, D., K. Keteles, J. Beihoffer, J. Cavallin, K. Dahlin, J. Davis, A. Jastrow, J. Lazorchak, M. Mills, M. Murphy, D. Nguyen, A. Vajda, D. Villeneuve, D. Winkelman, and T. Collette. Evaluation of targeted and untargeted effects-based monitoring tools to assess impacts of contaminants of emerging concern on fish in the South Platte River, CO. ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 239: 706-713, (2018).

Results of partial least squares (PLS) analysis of metabolite changes and contaminant concentrations to determine contaminants most likely to responsible for biological effects and to screen against those contaminants not responsible. This dataset is associated with the following publication: Ekman, D., K. Keteles, J. Beihoffer, J. Cavallin, K. Dahlin, J. Davis, A. Jastrow, J. Lazorchak, M. Mills, M. Murphy, D. Nguyen, A. Vajda, D. Villeneuve, D. Winkelman, and T. Collette. Evaluation of targeted and untargeted effects-based monitoring tools to assess impacts of contaminants of emerging concern on fish in the South Platte River, CO. ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 239: 706-713, (2018).

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 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).

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

The NSW Estuary Health Risk Dataset was created to support Stage 1 of preparing Coastal Management Programs under the NSW Coastal Management Manual (2018). The dataset identifies land-use pressures and consequent risks of impacts on the ecological health of estuaries. Risks associated with other pressures, such as acid sulfate soils, erosion and contaminants, are not captured. The dataset can be used to spatially prioritise where further studies and/or management actions in the catchment would contribute to achieving outcomes, specific to the management objectives for Coastal Environment Areas, and Coastal Wetlands and Littoral Rainforests Areas which are specified in the Coastal Management Act 2016. The dataset includes two shapefiles and one raster file for each estuary and its associated catchment in NSW. It is recommended that all files be reviewed to help set the context for the estuary health risk. A data report describing how the dataset was created and how it should be used is available here: https://www.environment.nsw.gov.au/research-and-publications/publications-search/nsw-estuary-health-risk-dataset. To access the dataset, you may contact the Data Broker and request the Estuary Health Risk dataset for your estuary. Appendix B of the data report provides a list of data available. Alternatively, you may download the dataset for all estuaries located in the ‘Dataset Packages’ drop down below.