The Great Lakes Environmental Database (GLENDA) houses environmental data collected by EPA Great Lakes National Program Office (GLNPO) programs that sample water, aquatic life, sediments, and air to assess the health of the Great Lakes ecosystem. GLENDA is available to the public on the EPA Central Data Exchange (CDX). A CDX account is required, which anyone may create. GLENDA offers “Ready to Download Data Files” prepared by GLNPO or a “Query Data” interface that allows users to select from predefined parameters to create a customized query. Query results can be downloaded in .csv format. GLNPO programs providing data in GLENDA include the Great Lakes Water Quality Survey and Great Lakes Biology Monitoring Program (1983-present, biannual monitoring throughout the Great Lakes to assess water quality, chemical, nutrient, and physical parameters, and biota such as plankton and benthic invertebrates), the Great Lakes Fish Monitoring and Surveillance Program (1977-present, annual analysis of top predator fish composites to assess historic and emerging persistent, bioaccumulative, or toxic chemical contaminants), the Cooperative Science and Monitoring Initiative (2002-present, intensive water quality and biology sampling of one lake per year focusing on key challenges and data gaps), the Great Lakes Integrated Atmospheric Deposition Network (1990-present, monitoring Great Lakes air and precipitation for persistent toxic chemicals), the Lake Michigan Mass Balance Study (1993-1996, analyzed the atmosphere, tributaries, sediments, water column, and biota of Lake Michigan for nutrients, atrazine, PCBs, trans-nonachlor, and mercury modelling), and the Great Lakes Legacy Act (1996-present, evaluations of sediment contamination in Areas of Concern). GLENDA is updated frequently with new data.

The Project Climate Change, Health, and Artificial Intelligence (Project CCHAIN) dataset is a validated, open-sourced linked dataset containing 20 years (2003-2022) of climate, environmental, socioeconomic, and health dimensions at the barangay (village) level across twelve Philippine cities (Dagupan, Palayan, Navotas, Mandaluyong, Muntinlupa, Legazpi, Iloilo, Mandaue, Tacloban, Zamboanga, Cagayan de Oro, Davao).

The full documentation can be accessed here.

The tables are designed in a way that users can choose variables that are most relevant to their focus city and use case, and link these variables to form a single dataset by merging using standard geography codes and calendar dates. This can be done using the provided linking notebook, or offline using the user's own code.

Here are some tips on how make most use of this dataset:

• Focus on one location. Starting with a detailed analysis of one location allows for a better understanding of the local dynamics, which may differ across locations.

• Choose one health data source. Pick one of either a central or local data source. Using two different data health sources is not advised because it will lead to double/overcounting of disease cases.

• Do not use all variables at once- do a literature review first to identify possible key variables. to identify possible key variables. More often than not, using all variables is not necessary and may even yield subpar results.

• Check data availability on your focus location and make sure they fit the requirements of your study.

This dataset also includes household surveys tables (see schema here and here) done on partner informal settlement communities in the cities of Muntinlupa, Davao, Iloilo, and Mandaue and administered on various dates up to 2024. Due to the sensitive nature of surveys and the vulnerability of the subjects involved, requests for access must be submitted for review and approval by the Philippine Action for Community-Led Shelter Initiatives, Inc. (PACSII). To submit a request, please use this form.

This data provides results from field analyses, from the California Environmental Data Exchange Network (CEDEN). The data set contains two provisionally assigned values (“DataQuality” and “DataQualityIndicator”) to help users interpret the data quality metadata provided with the associated result.

Due to file size limitations, the data has been split into individual resources by year. The entire dataset can also be downloaded in bulk using the zip files on this page (in csv format or parquet format), and developers can also use the API associated with each year's dataset to access the data.

Users who want to manually download more specific subsets of the data can also use the CEDEN Query Tool, which provides access to the same data presented here, but allows for interactive data filtering.

This data set contains 5-minute resolution surface meteorological data from the TRibal Environment eXchange network (TREX) of 4 Climatronics weather stations in the Owens Valley. These data were provided by IPS Meteostar with the approval of the Paiute/Shoshone tribes. The data set contains data for 2006. Each file contains the 2006 data for a single station. The data are in comma delimited ASCII.

The Continuous Environmental Monitoring Program (CEMP) plays an instrumental role in overseeing real-time water quality in the Sacramento-San Joaquin Delta (the Delta) and Suisun Bay. The program harnesses wireless telemetry to transmit crucial data to the California Data Exchange Center (CDEC), making high-resolution environmental data pertaining to the Delta and Suisun Bay publicly accessible. The extensive dataset captures information at 15-minute intervals from 15 monitoring stations, utilizing YSI 6600 and YSI EXO sondes to obtain standalone water quality measurements. This extensive dataset informs the operations of the California State Water Project, ensuring it adheres to mandated water quality standards set by Water Right Decision 1641. This data compilation incorporates all information since the transition to YSI multiparameter sondes in 2005. It is important to note that the commencement dates and subsequent upgrades vary between stations, leading to slight discrepancies in the dataset's date ranges. Since its inception in the mid-1980s, CEMP has progressively expanded its monitoring capabilities, consistently augmenting the number of monitoring locations and the array of water quality parameters assessed. Its commitment to utilizing the most advanced water quality monitoring technology reaffirms its position as an environmental monitoring leader in the Delta and Suisun Bay. Today, the program oversees 15 water quality stations that reliably capture data every 15 minutes, each day of the year, transmitting this data in real-time. The core tenents of CEMP: • to obtain consistent and accurate data in real-time at established monitoring stations • to provide data necessary to achieve compliance with salinity, flow, and dissolved oxygen standards • to perform data analyses for further understanding of estuarine ecology • to report information to other government agencies, as well as the public, for the purpose of management and conservation of the upper San Francisco Estuary (SFE). • to provide continuous water quality monitoring expertise for other groups within DWR and sister agencies for the benefit of ecological studies throughout the San Francisco- Sacramento Estuary

EDX is the Department of Energy (DOE)/Fossil Energy Carbon Management (FECM) virtual library and data laboratory built to find, connect, curate, use and re-use data to advance fossil energy and environmental R&D. Developed and maintained by the National Energy Technology Laboratory (NETL), EDX supports the entire life cycle of data by offering secure, private collaborative workspaces for ongoing research projects until they mature and become catalogued, curated, and published. EDX adheres to DOE Cyber policies as well as domestic and international standards for data curation and citation. This ensures data products pushed public via EDX are afforded a citation for proper accreditation and complies with journal publication requirements.

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.

This report contains part V and part VII.

The Environmental Data Explorer is the authoritative source for data sets used by UNEP and its partners in the Global Environment Outlook (GEO) report and other integrated environment assessments. Its online database holds more than 500 different variables, as national, subregional, regional and global statistics or as geospatial data sets (maps), covering themes like Freshwater, Population, Forests, Emissions, Climate, Disasters, Health and GDP. Display them on-the-fly as maps, graphs, data tables or download the data in different formats. By using the GetCapabilities request, one can see the whole list of available data layers.

The Water Quality Data Exchange (WQDE) data maintains the locations of water quality monitoring stations from NJDEP's COMPASS database. A station is a location at which a data collection event takes place, such a collection of a field sample, measurement of field parameters or evaluation of environmental habitats.

Acknowledgement: The NEAD format includes NetCDF metadata and is proudly inspired by both SMET and NetCDF formats. NEAD is designed as a long-term data preservation and exchange format.

The NEAD specifications were presented at the "WMO Data Conference 2020 - Earth System Data Exchange in the 21st Century" (Virtual Conference).

Summary: The Non-Binary Environmental Data Archive (NEAD) format is being developed as a generic and intuitive format that combines the self-documenting features of NetCDF with human readable and writeable features of CSV. It is designed for exchange and preservation of time series data in environmental data repositories. License: The NEAD specifications are released to the public domain under a Creative Commons CC0 "No Rights Reserved" international license. You can reuse the information contained herein in any way you want, for any purposes and without restrictions.

This dataset includes field and lab chemistry data that has been submitted to the California Environmental Data Exchange Network (CEDEN), but has not been loaded into the CEDEN database. It is a subset of the chemistry data that has been submitted to CEDEN since approximately December 2020, and supplements the data found in both the main Surface Water - Chemistry Results dataset and the CEDEN Query Tool (i.e., this augmentation data is not included in the data available from either of those sources). For consistency, many of the conditions applied to the other CEDEN data found on this portal and in the CEDEN query tool are also applied to this supplemental dataset (e.g., no rejected data or replicates are included). However, this supplemental data is provisional and may not reflect all of the QA/QC controls applied to the regular CEDEN data.

This dataset also contains two provisionally assigned values (“DataQuality” and “DataQualityIndicator”) to help users interpret the data quality metadata provided with the associated result (like the main Surface Water - Chemistry Results dataset referenced above).

Population based cancer incidence rates were abstracted from National Cancer Institute, State Cancer Profiles for all available counties in the United States for which data were available. This is a national county-level database of cancer data that are collected by state public health surveillance systems. All-site cancer is defined as any type of cancer that is captured in the state registry data, though non-melanoma skin cancer is not included. All-site age-adjusted cancer incidence rates were abstracted separately for males and females. County-level annual age-adjusted all-site cancer incidence rates for years 2006–2010 were available for 2687 of 3142 (85.5%) counties in the U.S. Counties for which there are fewer than 16 reported cases in a specific area-sex-race category are suppressed to ensure confidentiality and stability of rate estimates; this accounted for 14 counties in our study. Two states, Kansas and Virginia, do not provide data because of state legislation and regulations which prohibit the release of county level data to outside entities. Data from Michigan does not include cases diagnosed in other states because data exchange agreements prohibit the release of data to third parties. Finally, state data is not available for three states, Minnesota, Ohio, and Washington. The age-adjusted average annual incidence rate for all counties was 453.7 per 100,000 persons. We selected 2006–2010 as it is subsequent in time to the EQI exposure data which was constructed to represent the years 2000–2005. We also gathered data for the three leading causes of cancer for males (lung, prostate, and colorectal) and females (lung, breast, and colorectal). The EQI was used as an exposure metric as an indicator of cumulative environmental exposures at the county-level representing the period 2000 to 2005. A complete description of the datasets used in the EQI are provided in Lobdell et al. and methods used for index construction are described by Messer et al. The EQI was developed for the period 2000– 2005 because it was the time period for which the most recent data were available when index construction was initiated. The EQI includes variables representing each of the environmental domains. The air domain includes 87 variables representing criteria and hazardous air pollutants. The water domain includes 80 variables representing overall water quality, general water contamination, recreational water quality, drinking water quality, atmospheric deposition, drought, and chemical contamination. The land domain includes 26 variables representing agriculture, pesticides, contaminants, facilities, and radon. The built domain includes 14 variables representing roads, highway/road safety, public transit behavior, business environment, and subsidized housing environment. The sociodemographic environment includes 12 variables representing socioeconomics and crime. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Human health data are not available publicly. EQI data are available at: https://edg.epa.gov/data/Public/ORD/NHEERL/EQI. Format: Data are stored as csv files. This dataset is associated with the following publication: Jagai, J., L. Messer, K. Rappazzo , C. Gray, S. Grabich , and D. Lobdell. County-level environmental quality and associations with cancer incidence#. Cancer. John Wiley & Sons Incorporated, New York, NY, USA, 123(15): 2901-2908, (2017).

The Continuous Environmental Monitoring Program (CEMP) monitors real-time water quality conditions throughout the Sacramento-San Joaquin Delta (the Delta) and Suisun Bay. Data is transmitted to the California Data Exchange Center (CDEC) via wireless telemetry in real-time, providing publicly available environmental data related to the Delta and Suisun Bay. Real- time data is continously collected at 15-minute intervals at 15 stations throughout the Delta and Suisun Bay. YSI EXO sondes are used as standalone water quality instruments at each station. The water quality data collected by CEMP guides the operations of the California State Water Project to maintain mandated water quality standards within the Delta and Suisun Bay. Water quality standards are established for DWR by Water Right Decision 1641. All 15 of CEMP’s continuous water quality stations are included in this dataset for the calendar year of 2021. CEMP has collected water quality data in the Sacramento- San Joaquin Delta and Suisun Bay since the mid-1980s. Over the past 4 decades, CEMP’s monitoring scope has continuously increased in the number of monitoring locations and the amount of water quality analytes monitored. CEMP has strove to deploy the most up to date water quality monitoring technology at all of its monitoring stations. Currently, there are 15 water quality stations maintained by CEMP. All water quality monitoring stations collect data every 15 minutes, 365 days a year and are sent in real-time via telemetry. Core Tenets of CEMP: • to obtain consistent and accurate data in real-time at established monitoring stations • to provide data necessary to achieve compliance with salinity, flow, and dissolved oxygen standards • to perform data analyses for further understanding of estuarine ecology • to report information to other government agencies, as well as the public, for the purpose of management and conservation of the upper San Francisco Estuary (SFE). • to provide continuous water quality monitoring expertise for other groups within DWR and sister agencies for the benefit of ecological studies throughout the San Francisco- Sacramento Estuary

Scope-3 Data Exchange Market Outlook

According to our latest research, the global Scope-3 Data Exchange market size is valued at USD 1.24 billion in 2024, with a robust compound annual growth rate (CAGR) of 28.9% expected through the forecast period. By 2033, the market is projected to reach an impressive USD 10.42 billion, driven by the escalating regulatory pressures, increasing focus on supply chain sustainability, and the growing demand for transparent emissions data across industries. The persistent need for organizations to accurately track, report, and reduce their indirect emissions (Scope 3) is fueling the adoption of advanced data exchange solutions, making this market one of the most dynamic segments within the broader environmental, social, and governance (ESG) technology landscape.

One of the primary growth factors for the Scope-3 Data Exchange market is the intensification of global regulatory frameworks mandating comprehensive greenhouse gas (GHG) emissions disclosures. Governments and international regulatory bodies are increasingly requiring organizations to not only account for their direct emissions (Scope 1 and 2) but also their value chain emissions (Scope 3). This regulatory momentum is compelling enterprises to invest in sophisticated data exchange platforms and services that enable seamless collection, validation, and reporting of Scope 3 emissions data from a diverse network of suppliers and partners. As a result, the market is witnessing a surge in demand for interoperable solutions that can integrate with existing enterprise systems, automate data workflows, and ensure compliance with evolving standards such as the Greenhouse Gas Protocol and the Corporate Sustainability Reporting Directive (CSRD).

Another pivotal driver for the Scope-3 Data Exchange market is the heightened stakeholder and consumer awareness regarding corporate environmental impact. Investors, customers, and advocacy groups are increasingly scrutinizing organizations’ sustainability claims, demanding greater transparency and accountability across the entire value chain. This shift in stakeholder expectations is pushing companies to adopt more granular and auditable Scope 3 data management practices. The proliferation of digital supply chains and the advent of blockchain and IoT technologies are further enabling real-time data exchange, enhancing the accuracy and credibility of emissions reporting. Consequently, enterprises are leveraging these technological advancements to not only meet compliance requirements but also to differentiate themselves in the marketplace by demonstrating genuine progress toward net-zero targets.

Technological innovation and the integration of artificial intelligence (AI) and machine learning (ML) are also playing a transformative role in the expansion of the Scope-3 Data Exchange market. Advanced analytics, predictive modeling, and automated data cleansing tools are empowering organizations to derive actionable insights from complex and disparate emissions data sets. These capabilities are particularly valuable in industries with intricate, multi-tiered supply chains, where manual data collection is both time-consuming and error-prone. As AI-driven solutions become more accessible and affordable, even small and medium enterprises are able to participate in Scope 3 data initiatives, further accelerating market growth. The ongoing digital transformation across sectors is expected to continue driving innovation and adoption in this space.

Regionally, North America and Europe are leading the Scope-3 Data Exchange market, accounting for the largest market shares in 2024. This dominance is attributed to stringent regulatory requirements, advanced technological infrastructure, and a mature ecosystem of ESG solution providers. However, the Asia Pacific region is emerging as the fastest-growing market, propelled by rapid industrialization, increasing environmental awareness, and proactive government initiatives aimed at decarbonizing supply chains. Latin America and the Middle East & Africa are also witnessing steady growth, albeit from a smaller base, as multinational corporations extend their sustainability mandates to operations and suppliers in these regions. The global nature of supply chains necessitates a coordinated approach to Scope 3 data exchange, making regional collaboration and standardization critical to the market’s long-term success.

China Sichuan United Environment Exchange: CCER: Turnover: Volume: Year to Date data was reported at 0.000 Ton th in 30 Apr 2025. This stayed constant from the previous number of 0.000 Ton th for 25 Apr 2025. China Sichuan United Environment Exchange: CCER: Turnover: Volume: Year to Date data is updated daily, averaging 34,894.688 Ton th from Dec 2016 (Median) to 30 Apr 2025, with 1265 observations. The data reached an all-time high of 39,131.811 Ton th in 28 Feb 2025 and a record low of 0.000 Ton th in 30 Apr 2025. China Sichuan United Environment Exchange: CCER: Turnover: Volume: Year to Date data remains active status in CEIC and is reported by Xinhua Finance. The data is categorized under China Premium Database’s Environmental Protection – Table CN.EPT: Xinhua: Sichuan United Environment Exchange: CCER.

Surface water toxicity data from the California Environmental Data Exchange Network (CEDEN). CEDEN is the California State Water Board's data system for surface water quality in California, and seeks to include all available statewide data (such as that produced by research and volunteer organizations). Data in CEDEN include field, sediment and water column data collected from freshwater, estuarine, and marine environments. Examples of data in CEDEN come from laboratory, physical and biological analyses and include data types associated with chemical, toxicological, field, bio-assessment, invertebrate, fish, and bacteriological assay assessments.

The data resource "Surface Water Toxicity" contains two provisionally assigned values (“DataQuality” and “DataQualityIndicator”) to help users interpret the data quality metadata provided with the associated result.

Zip files are provided for bulk data downloads (in csv or parquet file format), and developers can use the API associated with the "Surface Water Toxicity" (csv) resource to access the data.

Users who want to manually download more specific subsets of the data can also use the CEDEN Query Tool, which provides access to the same data presented here, but allows for interactive data filtering.

This repository contains some of the data necessary to replicate the study "Driving ecologically unequal exchange: A global analysis of multinational corporations’ role in environmental conflicts" for the remaining data, please send a request to the original data provider, the Environmental Justice Atlas (EJAtlas.org).

Information about sampling locations for data from the [California Environmental Data Exchange Network](https://ceden.org/) (CEDEN). This set of station/project combinations can be combined with other data sets from CEDEN to provide more information. CEDEN is the California State Water Board's data system for surface water quality in California, and seeks to include all available statewide data (such as that produced by research and volunteer organizations). Data in CEDEN include field, sediment and water column data collected from freshwater, estuarine, and marine environments. Examples of data in CEDEN come from laboratory, physical and biological analyses and include data types associated with chemical, toxicological, field, bioassessment, invertebrate, fish, and bacteriological assay assessments.

The stated purpose of this 4th DOE Environmental Protection Information Meeting was to enhance the Department's efforts to assure environmental compliance and public protection by promoting the continued exchange of technical information and operational experience.