U.S. Government Workshttps://www.usa.gov/government-works
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The California Department of Water Resources (DWR) discrete (vs. continuous) water quality datasets contains DWR-collected, current and historical, chemical and physical parameters found in routine environmental, regulatory compliance monitoring, and special studies throughout the state.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Long-term freshwater quality data from federal and federal-provincial sampling sites throughout Canada's aquatic ecosystems are included in this dataset. Measurements regularly include physical-chemical parameters such as temperature, pH, alkalinity, major ions, nutrients and metals. Collection includes data from active sites, as well as historical sites that have a period of record suitable for trend analysis. Sampling frequencies vary according to monitoring objectives. The number of sites in the network varies slightly from year-to-year, as sites are adjusted according to a risk-based adaptive management framework. The Great Lakes are sampled on a rotation basis and not all sites are sampled every year. Data are collected to meet federal commitments related to transboundary watersheds (rivers and lakes crossing international, inter-provincial and territorial borders) or under authorities such as the Department of the Environment Act, the Canada Water Act, the Canadian Environmental Protection Act, 1999, the Federal Sustainable Development Strategy, or to meet Canada's commitments under the 1969 Master Agreement on Apportionment.
The ZTRAX data is a national database of property sales collected by Zillow. The data is available to researchers who submit a research proposal to Zillow. Portions of this dataset are inaccessible because: Not publicly available. They can be accessed through the following means: Requires a data sharing agreement with Zillow. Format: National property sales database https://www.zillow.com/research/ztrax/. This dataset is associated with the following publication: Mamun, S., A. Castillo, K. Swedberg, J. Zhang, K.J. Boyle, D. Cardoso, C.L. King, C. Nolte, M. Papenfus, D. Phaneuf, and S. Polasky. Valuing water quality in the United States using a national dataset on property values. PNAS (PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES). National Academy of Sciences, WASHINGTON, DC, USA, 120(5): e2210417120, (2023).
The Water Quality Portal (WQP) is a cooperative service sponsored by the United States Geological Survey (USGS), the Environmental Protection Agency (EPA), and the National Water Quality Monitoring Council (NWQMC). It serves data collected by over 400 state, federal, tribal, and local agencies. Water quality data can be downloaded in Excel, CSV, TSV, and KML formats. Fourteen site types are found in the WQP: aggregate groundwater use, aggregate surface water use, atmosphere, estuary, facility, glacier, lake, land, ocean, spring, stream, subsurface, well, and wetland. Water quality characteristic groups include physical conditions, chemical and bacteriological water analyses, chemical analyses of fish tissue, taxon abundance data, toxicity data, habitat assessment scores, and biological index scores, among others. Within these groups, thousands of water quality variables registered in the EPA Substance Registry Service (https://iaspub.epa.gov/sor_internet/registry/substreg/home/overview/home.do) and the Integrated Taxonomic Information System (https://www.itis.gov/) are represented. Across all site types, physical characteristics (e.g., temperature and water level) are the most common water quality result type in the system. The Water Quality Exchange data model (WQX; http://www.exchangenetwork.net/data-exchange/wqx/), initially developed by the Environmental Information Exchange Network, was adapted by EPA to support submission of water quality records to the EPA STORET Data Warehouse [USEPA, 2016], and has subsequently become the standard data model for the WQP. Contributing organizations: ACWI The Advisory Committee on Water Information (ACWI) represents the interests of water information users and professionals in advising the federal government on federal water information programs and their effectiveness in meeting the nation's water information needs. ARS The Agricultural Research Service (ARS) is the U.S. Department of Agriculture's chief in-house scientific research agency, whose job is finding solutions to agricultural problems that affect Americans every day, from field to table. ARS conducts research to develop and transfer solutions to agricultural problems of high national priority and provide information access and dissemination to, among other topics, enhance the natural resource base and the environment. Water quality data from STEWARDS, the primary database for the USDA/ARS Conservation Effects Assessment Project (CEAP) are ingested into WQP via a web service. EPA The Environmental Protection Agency (EPA) gathers and distributes water quality monitoring data collected by states, tribes, watershed groups, other federal agencies, volunteer groups, and universities through the Water Quality Exchange framework in the STORET Warehouse. NWQMC The National Water Quality Monitoring Council (NWQMC) provides a national forum for coordination of comparable and scientifically defensible methods and strategies to improve water quality monitoring, assessment, and reporting. It also promotes partnerships to foster collaboration, advance the science, and improve management within all elements of the water quality monitoring community. USGS The United States Geological Survey (USGS) investigates the occurrence, quantity, quality, distribution, and movement of surface waters and ground waters and disseminates the data to the public, state, and local governments, public and private utilities, and other federal agencies involved with managing the United States' water resources. Resources in this dataset:Resource Title: Website Pointer for Water Quality Portal. File Name: Web Page, url: https://www.waterqualitydata.us/ The Water Quality Portal (WQP) is a cooperative service sponsored by the United States Geological Survey (USGS), the Environmental Protection Agency (EPA), and the National Water Quality Monitoring Council (NWQMC). It serves data collected by over 400 state, federal, tribal, and local agencies. Links to Download Data, User Guide, Contributing Organizations, National coverage by state.
Find data on drinking water quality in Massachusetts. This dataset shows drinking water exceedances for lead by Community Water System and year of exceedance in Massachusetts.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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The Global Water Quality database and information system GEMStat is hosted, operated, and maintained by the International Centre for Water Resources and Global Change (ICWRGC) in Koblenz, Germany, within the framework of the GEMS/Water Programme of the United Nations Environment Programme (UNEP), and in cooperation with the Federal Institute of Hydrology. GEMStat hosts water quality data of ground and surface waters providing a global overview of the condition of water bodies and the trends at global, regional and local levels.
Attribution-NonCommercial 2.0 (CC BY-NC 2.0)https://creativecommons.org/licenses/by-nc/2.0/
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This dataset provides water quality data from stations in the Republic of Korea.
Data collected to assess water quality conditions in the natural creeks, aquifers and lakes in the Austin area. This is raw data, provided directly from our Water Resources Monitoring database (WRM) and should be considered provisional. Data may or may not have been reviewed by project staff. A map of site locations can be found by searching for LOCATION.WRM_SAMPLE_SITES; you may then use those WRM_SITE_IDs to filter in this dataset using the field SAMPLE_SITE_NO.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Water is the most precious and essential resource among all-natural resources. Some organism survives without oxygen and food such as Tardigrades. But no one can survive without water. The increase in the development of industries and human activities over the previous century is having an overwhelming impact on our environment. Most cities in the world have started to implement the aqua management system. The development of cloud computing, artificial intelligence, remote sensing, big data and the Internet of Things provide new opening and move toward the improvement and application of aqua resource monitoring system. For predicting water quality of rivers, dams and lakes in India, water quality parameter dataset is created. The name of the data set is Aquaattributes. Completely 1360 samples are presented in the Aquaattributes. The data set size is 190 KB. Attributes of the dataset location name along with its longitude and latitude values and water quality parameters.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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irrigation
https://data.gov.tw/licensehttps://data.gov.tw/license
The Environmental Department releases river water quality monitoring data, including River Pollution Index (RPI) and monitored values of major pollutants. Due to the need for monthly on-site sampling, laboratory testing and data quality control procedures, monitoring data is usually provided every other month.
Prior to downloading data, please download the README file.
This dataset contains water quality samples collected from Puget Sound, lakes, and streams in the region which can be filtered by "Site Type" and "Area".
To see where water quality samples are collected, see the WLRD Water Quality Collection Sites dataset.
This dataset represents the results of two long-term routine monitoring programs at over 100 fixed sites in the City’s streams and Harbor. The Department of Public Works is responsible for this data set. The purpose of these monitoring programs (known as Stream Impact Sampling and Ammonia Screening) is to evaluate any long-term trends occurring in the City’s surface waters and determine appropriate capital investment projects or operational changes. The results may be affected by a variety of factors, such as precipitation, land use changes, and human behavior. More information related to this dataset is included in the City’s MS4 Annual Reports, posted on DPW’s website. To leave feedback or ask a question about this dataset, please fill out the following form: Surface Water Quality Data 1995 to June 2024 feedback form.
https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario
Ontario has a comprehensive set of measures and regulations to help ensure the safety of drinking water.
The following dataset contains information about the drinking water systems, laboratories and facilities the Ministry of the Environment, Conservation and Parks is responsible for monitoring to ensure compliance with Ontario's drinking water laws.
The dataset includes information about:
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This is an observation data for water quality monitoring.
https://catalog.dvrpc.org/dvrpc_data_license.htmlhttps://catalog.dvrpc.org/dvrpc_data_license.html
The federal Clean Water Act was established to restore and maintain the chemical, physical, and biological integrity of the nation's waters. Water quality standards have been established by federal and state governments to ensure that waterbodies attain their designated uses. Designated uses include human uses and ecological conditions: general aquatic life, trout, recreation, drinking water supply, industrial water supply, agricultural water supply, shellfish harvesting, and fish consumption.
As mandated by the Clean Water Act, surface water quality in all states is monitored and assessed every two years. During this time, government-employed scientists take samples of water at various waterbody sites and test them to determine whether or not that waterbody has attained its designated use(s). The designated use of general aquatic life is the most indicative of overall surface water quality and is the most comprehensively monitored across the region. Therefore, aquatic life is used as the indicator of regional water quality.
Water quality in Pennsylvania is assessed based on stream segments. Attainment (or lack of attainment) is determined by analyzing the health of aquatic macroinvertebrates (i.e. insect larvae, crayfish, clams, snails, worms) present in the stream. Pennsylvania's Department of Environmental Protection's (PADEP) assessment plan covers the entire state in 10-year increments. Interim evaluations are performed using targeted sampling in each of the state's major subwatersheds every two years. New Jersey Department of Environmental Protection (NJDEP), on the other hand, assigns attainment or lack of attainment to entire subwatersheds (land area). Similar to PADEP, this determination is based on in-stream sampling of macroinvertebrates. New Jersey's most recent report for 2014 is based on data collected between 2008 and 2012.
Since the two states do not report water quality data using the same criteria (stream miles in Pennsylvania versus acres of subwatershed in New Jersey), the percentage of non-attaining water(s) in each state is taken according to its preferred unit, and then the two percentages are averaged together to obtain a regional value.
Monthly raw water quality data on alkalinity, hardness, TDS, Turbidity, TOC, pH, and temperature. This dataset is associated with the following publication: Levine, A., J. Yang , and J. Goodrich. Enhancing climate Adaptation Capacity for Drinking Water Treatment Facilities. Journal of Water and Climate Change. IWA Publishing, London, UK, 7(3): 1-13, (2016).
Marine Water Quality data at different Marine Water Quality Monitoring stations from 1986 to 2024 (English Version)
MIT Licensehttps://opensource.org/licenses/MIT
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This data set provides the water quality classifications of New York State's lakes, rivers, streams and ponds, collectively referred to as water bodies. All water bodies in the state are provided a water quality classification based on existing, or expected best usage, of each water body or water body segment. Under New York State's Environmental Conservation Law (ECL), Title 5 of Article 15, certain waters of the state are protected on the basis of their classification. Streams and small water bodies located in the course of a stream that are designated as C (T) or higher (i.e., C (TS), B, or A) are collectively referred to as "protected streams.For more information see https://dec.ny.gov/environmental-protection/water/water-quality/standards-classifications1. The public should not make any business decisions and/or financial commitments based on the water quality classification data until they have secured the necessary permissions from the Department of Environmental Conservation. 2. The NYSDEC asks to be credited in derived products. 3. Secondary distribution of the data is not allowed. 4. Any documentation provided is an integral part of the data set. Failure to use the documentation in conjunction with the digital data constitutes a misuse of the data. 5. Although every effort has been made to ensure the accuracy of information, errors may be reflected in data supplied. The user must be aware of data conditions and bear responsibility for the appropriate use of the information with respect to possible errors, original map scale, collection methodology, currency of data, and other condition.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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The Conagua page containing links to 2012-2019 surface and groundwater quality data, from 5000 monitoring sites in Mexico, available in XLS or KMZ files
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
The California Department of Water Resources (DWR) discrete (vs. continuous) water quality datasets contains DWR-collected, current and historical, chemical and physical parameters found in routine environmental, regulatory compliance monitoring, and special studies throughout the state.