The following datasets related to regulated drinking water system facilities in California have been developed and are available for the purpose of the March 23, 2023, OEDP workshop. The main purpose of the workshop is to engage community members and researchers in understanding datasets maintained and shared by the California State Water Resources Control Board Drinking Water Program and explore possibilities for their use and enhancement. Input from this workshop could be used to inform recommendations OEDP makes to partnering organizations about how to collect, share, and structure their open datasets. Conversations could also support community organizations in using water datasets to inform programming, policy advocacy, or organizing.

Environmental Data Service & Ecosystem Data Analytics

Simplify your research data collection with trusted environmental data service managed by TERN Australia. We host a diverse range of ecosystem data and environmental datasets, including ecoacoustics, leaf area index, imagery and more. Our environment database supports open science by making research data accessible to scientists, educators, policymakers and decision-makers worldwide. Start exploring today through our easy-to-use tools and portals.

The TERN research data collection provides analysis-ready environmental data that facilitates ecological research projects for both established and emerging scientists from Australia and around the world. The resources we provide support scientific investigation in environment and climate research fields while helping to inform sustainable decision-making initiatives. Access our environmental data service now to power your next research project.

If you’d like to learn more about TERN’s data, tools, or research services – or if you have a specific enquiry – visit the TERN Portal, call us on 07 3365 9097, or email us at tern@uq.edu.au.

Explore our Data Portals

Open access ecosystem data collections are available via the TERN Data Discovery Portal and sub-portals:

Access all TERN Environment Data

Discover datasets published by TERN’s observing platforms and collaborators. Search geographically, then browse, query, and extract data via the TERN Data Discovery Portal.

Search EcoPlots Data

Search, integrate, and access Australia’s plot-based ecology survey data.

Download ausplotsR

Extract, prepare, visualise, and analyse TERN Ecosystem Surveillance monitoring data in R.

Search EcoImages

Search and download Leaf Area Index (LAI), Phenocam, and Photopoint images.

Explore our Data Services

Tools that support the discovery, analysis, and re-use of ecosystem data include:

Visualise the Data

In partnership with ANU, we provide 50 landscape and ecosystem datasets presented graphically.

Access CoESRA Virtual Desktop

A virtual desktop environment that enables users to create, execute, and share environmental data simulations.

Submit data with SHaRED

Our user-friendly tool to upload your data securely to our environment database so you can contribute to Australia’s ecological research.

Other Data Portals, Tools, and Services

The Soil and Landscape Grid of Australia uses the best available data from existing environment databases, new sensor measurements, and innovative spatial modelling. It presents fine spatial resolution (3 arc-seconds or approximately 90 x 90 m pixels) digital soil and landscape attribute maps.

The Australian Cosmic-Ray Neutron Soil Moisture Monitoring Network (CosmOz) delivers soil moisture data for 16 sites covering about 30 hectares, with measurements taken to depths of between 10-50 cm. Led by CSIRO, this ecosystem data network is expanding to 23 sites to provide even greater environmental insights.

The TERN Mangrove Data Portal offers a diverse range of historical and contemporary remotely-sensed datasets on the extent and change of mangrove ecosystems across Australia. It includes multi-scale field measurements of mangrove floristics, structure and biomass, as well as a wide variety of airborne imagery collected since the 1950s, and multispectral and hyperspectral imagery from drones, aircraft, and satellites. This project has been recognised for its contribution to the Sustainable Development Goals and strengthens Australia’s long-term environment database.

TERN’s ausplotsR is an R Studio package designed for extracting, preparing, visualising, and analysing TERN’s Ecosystem Surveillance monitoring data. Researchers can directly access plot-based ecosystem data on vegetation and soils across Australia, using simple functions to merge information into species occurrence matrices for advanced analysis, such as calculating basal area or fractional cover.

The annual Australia’s Environment products summarise large volumes of observations on the trajectory of our natural resources and ecosystems. Through the data explorer, users can view and download maps, accounts, and charts by region and land use type. The portal also provides national summary reports and report cards for different types of administrative and geographical regions, all underpinned by TERN’s trusted environmental data service.

Get in Touch with TERN for Analysis-Ready Ecosystem Data

Our research data collection makes it easier for scientists and researchers to investigate and answer questions by providing them with open data, research and management tools, infrastructure, and site-based research tools.

The TERN Data Discovery Portal provides open access ecosystem data and is a cornerstone of our environmental data service. Our tools support data discovery, analysis, and re-use. The services which we provide facilitate research, education, and management. We maintain a network of monitoring sites and sensor data streams for long-term research as part of our environment database.

By choosing TERN, you gain reliable access to high-quality ecosystem data, curated tools and a leading environmental data service that drives global research and education. Have questions about TERN’s data collections, tools, or services? Connect with our team by visiting the TERN Portal, calling 07 3365 9097, or emailing tern@uq.edu.au for personalised support.

The sensor.community project, as the official website puts it, “is a contributors driven global sensor network that creates Open Environmental Data.”1. The primary focus of the project is particulates sensor data although many different kinds of sensors participate. They collect measurements like fine dust concentration, temperature, and humidity. Anyone, including organisations, schools, institutions and private individuals, can acquire a sensor station and start contributing data to the project. It is a citizen science project empowering laypeople to participate freely in an open scientific project of incredibly large scale. The contributed data is made publicly available for any use under the Open Database License2. That in turn enables subsequent research based on the data further increasing their utility. The thesis was submitted in partial fulfillment of the requirements for the course “Internet Technologies and Information Systems” and was supervised by Prof. Dr. Ramin Yahyapour and Dr. Sven Bingert.

The sensor.community project, as the official website puts it, “is a contributors driven global sensor network that creates Open Environmental Data.”1. The primary focus of the project is particulates sensor data although many different kinds of sensors participate. They collect measurements like fine dust concentration, temperature, and humidity. Anyone, including organisations, schools, institutions and private individuals, can acquire a sensor station and start contributing data to the project. It is a citizen science project empowering laypeople to participate freely in an open scientific project of incredibly large scale. The contributed data is made publicly available for any use under the Open Database License2. That in turn enables subsequent research based on the data further increasing their utility. The thesis was submitted in partial fulfillment of the requirements for the course “Internet Technologies and Information Systems” and was supervised by Prof. Dr. Ramin Yahyapour and Dr. Sven Bingert.

Since 2000, the Calista Elders Council (CEC) staff has worked with elders from Bering Sea coastal communities to document Yup'ik place names. Elders have been eager to teach young people their rich history and named places of their homeland, including camp and settlement sites, rivers, sloughs, rocks, ponds, even sandbars and underwater channels. More than 3,000 names have been identified with Yup'ik views on the importance of place names, the land, values, and language.Supporting Yup’ik EducationOne area of growth stemming from the Yup’ik Environmental Knowledge Project has been collaboration with the Lower Kuskokwim School District. Teachers and their students have participated in training sessions on atlas technology and how to add content. As part of the district’s curriculum development, high school students collect and share the history and culture of the Yup’ik way of life.

CEQR Open Data contains information on projects that are undergoing or have completed review through the City Environmental Quality Review (CEQR) process. Project information available at the Open Data Portal includes the CEQR Number, Project Name, the Project Description, the Lead Agency, project milestones, and geographical locations. CEQR Open Data contains information on CEQR projects, which were filed with the Mayor’s Office from January 1, 2005 to the present. For associated documents, please follow the links to the CEQR Access Database.

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.

We identified and document 137 datasets and databases on European biodiversity, ecosystem services, the drivers and pressures affecting them, and the mechanisms put in place to address these. These datasets represent nearly 2000 variables and metrics that can be used directly by researchers, land managers and decision-makers for example for spatial planning in conservation or be further integrated into biodiversity and ecosystem services models.

This metadatabase and associated tables supports Deliverable 3.1 of the NaturaConnect Horizon Europe project (D3.1 Report and data on the biodiversity, protected areas and environmental and socioeconomic data available for the project. Including data gap analysis).

Content

1. Typology.xlsx - Table presenting the typology used to classify and document the datasets and databases within the metadatabase. The typology used to classify those datasets and the variables and metrics within them is built on the DPSIR framework (Drivers, Pressures, State, Impact, Response), the Threats Classification Scheme (version 3.3) of the International Union for Conservation of Nature (IUCN), as well as the Essential Biodiversity Variables and Essential Ecosystem Services Variables frameworks (EBVs and EESVs respectively).

2. MetaDatabase.xlsx - MetaDatabase documenting the datasets and databases identified in the context of the NaturaConnect project. This metadatabase documents for each dataset or database:

Method - Databases and Datasets identification

The entries of the metadatabase were identified through three main approaches.

First, a list of online catalogues and repositories was produced and scoped for relevant datasets or databases: European Environment Agency Datahub, European Environment Agency EIONET Central Data Repository, COPERNICUS Land Monitoring Service, Essential Biodiversity Variables - EBV data portal of the Group on Earth Observations Biodiversity Observation Network, Open Traits Network Catalogue, Open Environmental Data Cube Europe, NASA’s Earth Data, NASA’s SEDAC (Socioeconomic data and application center), Euro-Lex (access to European Union Law), JRC - ESDAC (European Soil Data Center), Database of European Vegetation Habitats and Flora, ESA (European Space Agency) Climate Office.

Second, a survey was sent out to all NaturaConnect consortium members in the third quarter of 2022 to identify both their needs and uses of data across the data typology. This allowed to identify (and document) additional datasets either used or produced within the consortium.

Lastly, the research team punctually added scientific publications of large-scale datasets, although it is important to highlight that this is not resulting from a systematic survey effort of the literature.

This dataset displays the locations and attributes of projects completed by the Office of Natural Resource Restoration (ONRR). It contains information such as the project name, counties and towns in which the project took place, and any partners that may have been involved with the project. The dataset also contains descriptions of each project and, if available, a hyperlink to an ONRR web page where the user may find more information.

Measurements from the C-HARRIER (Coastal High Acquisition Rate Radiometers for Innovative Environmental Research) project, which aims to study the coastal atmospheric and acquatic environments of Monterey Bay, Pinto Lake, and Lake Tahoe.

The Center for Global Environmental Research (CGER) at the National Institute for Environmental Studies (NIES) has established a Global Environmental Database (GED), which comprises data and research results collected and compiled from natural and social sciences. The GED serves as a fundamental database related to global environmental problems with an emphasis on global warming and climate change.

The database provides long-term monitoring data, data analysis results and output of models. Quality controlled open data is provided in original format and NASA AMES format. And users are also able to overview the data by utilities plotting parameters. The database mainly contains data for Japan and the Japan region, in two different databases

1) Atmospheric and Oceanic Monitoring

Fixed and mobile platforms are used to observe the atmosphere and oceans in order to come to an understanding of the true state of the environment from a global perspective. High quality data are collected through long-term monitoring that will contribute to research on clarifying the causes of global environmental change.

2) Terrestrial Monitoring

After the Kyoto Protocol - the international consensus toward combatting global warming - entered into force in 2005, detailed evaluation of forest ecosystems' potential to absorb carbon dioxide has become an imperative. The Center for Global Environmental Research started Carbon Balance Monitoring in Terrestrial Ecosystems in 1999 under its Global Environmental Monitoring Project. The Office of Terrestrial Monitoring is striving to provide data of carbon balance over a wide area by integrating carbon balance data obtained from site-based forest ecosystem observations and aerial parameters obtained from remote sensing. This database contains CO2 concentration profiles, fluxes, spectral and meteorological datasets etc.

Website: http://db.cger.nies.go.jp/portal/geds/index

This dataset provides the region, grantee name, year awarded, project name, project description, amount awarded and type of grant awarded. The New York State Department of Environmental Conservation’s Office of Environmental Justice manages the grant programs. The Community Impact Grants program started in 2006.

To improve public health and the environment, the United States Environmental Protection Agency (EPA) collects information about facilities, sites, or places subject to environmental regulation or of environmental interest. Through the Geospatial Data Download Service, the public is now able to download the EPA Geodata Shapefile, Feature Class or extensible markup language (XML) file containing facility and site information from EPA's national program systems. The files are Internet accessible from the Envirofacts Web site (https://www3.epa.gov/enviro/). The data may be used with geospatial mapping applications. (Note: The files omit facilities without latitude/longitude coordinates.) The EPA Geospatial Data contains the name, location (latitude/longitude), and EPA program information about specific facilities and sites. In addition, the files contain a Uniform Resource Locator (URL), which allows mapping applications to present an option to users to access additional EPA data resources on a specific facility or site.

DISCLAIMER: The license for this dataset is 'Restrictive License', but please refer to the original sources of the data for licensing information. We are only redistributing it within their limitation.Information_This is the Air Quality Sensor Data Repository as published in the following workhttps://www.arxiv.org/abs/2508.02724The dataset is a zip file sized roughly 25GB. The unzipped data is roughly 70GB of only CSV and JSON data.To abide by the original owners' licensing, we publish only the raw data and provide all code for preprocessing through the following repository:https://github.com/YahiDar/AQ-SDRPlease check the documentation in the repository to further understand the dataset characteristics.We also provide the modeling and machine learning aspect of the work through:https://github.com/YahiDar/VeliLicenses_Each data source has a different license. Please make sure you are using the data appropriately as requested by the original provided.KNMI Data (folder name: /EU_data/KNMI):The original license is CC BY 4.0as documented on their webpage: https://www.knmidata.nl/open-dataLuchtMeetNet data (folder names: /EU_data/lucht_root and /EU_data/luchtmeetnet_csvs):The original license is CC BY-ND 4.0as documented on their webpage: https://www.luchtmeetnet.nl/informatie/download-data/open-dataRIVM SamenMeten data (folder name: /EU_data/crowd_stations_root):The original license is not specified, but it is open to use and redistribute.as documented on their webpage: https://www.samenmeten.nl/international/OpenDataSensor.Community data (folder name: /EU_data/sencom_hourly):The original license is DbCL v1.0as documented on their webpage: https://sensor.community/nl/Taiwan Ministry of Environment data (folder name: /out_of_distribution_downloaded/downloaded_ref):The original license is The Open Government Data License, version 1.0as documented on their webpage: https://data.gov.tw/licensePM2.5 Open Data Portal - LASS (folder name: /out_of_distribution_downloaded/downloaded_lcs):The original license is CC BY-NC-SA 4.0as documented on their webpage: https://pm25.lass-net.org/Acknowledgement_We sincerely thank the Dutch government for supporting this research with the starter grant (startersbeurzen). We also thank the organizations and researchers who provide the open data to enable this research, including the Dutch National Institute for Public Health and the Environment (RIVM), the Dutch Royal Netherlands Meteorological Institute (KNMI), Dr. Ling-Jyh Chen in Taiwan Academia Sinica for the AirBox project, the Taiwan Ministry of Environment, the Sensor.Community platform, and the European Environmental Agency (EEA). We also thank the GGD Amsterdam and RIVM for providing information about how air quality sensor stations work in the Netherlands. We also thank the CREATE Lab at the Robotics Institute at Carnegie Mellon University for the technical support in building the air quality dashboard.

The oceanographic time series data collected by U.S. Geological Survey scientists and collaborators are served in an online database at http://stellwagen.er.usgs.gov/index.html. These data were collected as part of research experiments investigating circulation and sediment transport in the coastal ocean. The experiments (projects, research programs) are typically one month to several years long and have been carried out since 1975. New experiments will be conducted, and the data from them will be added to the collection. As of 2016, all but one of the experiments were conducted in waters abutting the U.S. coast; the exception was conducted in the Adriatic Sea. Measurements acquired vary by site and experiment; they usually include current velocity, wave statistics, water temperature, salinity, pressure, turbidity, and light transmission from one or more depths over a time period. The measurements are concentrated near the sea floor but may also include data from the water column. The user interface provides an interactive map, a tabular summary of the experiments, and a separate page for each experiment. Each experiment page has documentation and maps that provide details of what data were collected at each site. Links to related publications with additional information about the research are also provided. The data are stored in Network Common Data Format (netCDF) files using the Equatorial Pacific Information Collection (EPIC) conventions defined by the National Oceanic and Atmospheric Administration (NOAA) Pacific Marine Environmental Laboratory. NetCDF is a general, self-documenting, machine-independent, open source data format created and supported by the University Corporation for Atmospheric Research (UCAR). EPIC is an early set of standards designed to allow researchers from different organizations to share oceanographic data. The files may be downloaded or accessed online using the Open-source Project for a Network Data Access Protocol (OPeNDAP). The OPeNDAP framework allows users to access data from anywhere on the Internet using a variety of Web services including Thematic Realtime Environmental Distributed Data Services (THREDDS). A subset of the data compliant with the Climate and Forecast convention (CF, currently version 1.6) is also available.

This is a table of all known citizen science projects that collect data on plastic pollution, how open their data is, their website, the region their data covers, and the system their data is in.

As Canada’s nuclear regulator, the CNSC reviews the environmental protection measures put in place for every facility we regulate. The environmental protection review report series offers a summary of CNSC staff’s technical assessment of how effectively licensees are protecting human health and the environment in the communities in which they are operating. The purpose of the report is to share CNSC staff’s findings from the review of Orano Canada Inc.'s environmental protection measures for the Cluff Lake Project. This includes the risk of radiological or hazardous substances posed to the environment and human health.

See full Data Guide here. This layer includes polygon features that depict protected open space for towns of the Protected Open Space Mapping (POSM) project, which is administered by the Connecticut Department of Energy and Environmental Protection, Land Acquisition and Management. Only parcels that meet the criteria of protected open space as defined in the POSM project are in this layer. Protected open space is defined as: (1) Land or interest in land acquired for the permanent protection of natural features of the state's landscape or essential habitat for endangered or threatened species; or (2) Land or an interest in land acquired to permanently support and sustain non-facility-based outdoor recreation, forestry and fishery activities, or other wildlife or natural resource conservation or preservation activities. Includes protected open space data for the towns of Andover, Ansonia, Ashford, Avon, Beacon Falls, Canaan, Clinton, Berlin, Bethany, Bethel, Bethlehem, Bloomfield, Bridgewater, Bolton, Brookfield, Brooklyn, Canterbury, Canton, Chaplin, Cheshire, Colchester, Colebrook, Columbia, Cornwall, Coventry, Cromwell, Danbury, Derby, East Granby, East Haddam, East Hampton, East Hartford, East Windsor, Eastford, Ellington, Enfield, Essex, Farmington, Franklin, Glastonbury, Goshen, Granby, Griswold, Groton, Guilford, Haddam, Hampton, Hartford, Hebron, Kent, Killingworth, Lebanon, Ledyard, Lisbon, Litchfield, Madison, Manchester, Mansfield, Marlborough, Meriden, Middlebury, Middlefield, Middletown, Monroe, Montville, Morris, New Britain, New Canaan, New Fairfield, New Milford, New Hartford, Newington, Newtown, Norfolk, North, Norwich, Preston, Ridgefield, Shelton, Stonington, Oxford, Plainfield, Plainville, Pomfret, Portland, Prospect, Putnam, Redding, Rocky Hill, Roxbury, Salem, Salisbury, Scotland, Seymour, Sharon, Sherman, Simsbury, Somers, South Windsor, Southbury, Southington, Sprague, Sterling, Suffield, Thomaston, Thompson, Tolland, Torrington, Union, Vernon, Wallingford, Windham, Warren, Washington, Waterbury, Watertown, West Hartford, Westbrook, Weston, Wethersfield, Willington, Wilton, Windsor, Windsor Locks, Wolcott, Woodbridge, Woodbury, and Woodstock. Additional towns are added to this list as they are completed. The layer is based on information from various sources collected and compiled during the period from March 2005 through the present. These sources include but are not limited to municipal Assessor's records (the Assessor's database, hard copy maps and deeds) and existing digital parcel data. The layer represents conditions as of the date of research at each city or town hall. The Protected Open Space layer includes the parcel shape (geometry), a project-specific parcel ID based on the Town and Town Assessor's lot numbering system, and system-defined (automatically generated) fields. The Protected Open Space layer has an accompanying table containing more detailed information about each feature (parcel). This table is called Protected Open Space Dat, and can be joined to Protected Open Space in ArcMap using the parcel ID (PAR_ID) field. Detailed information in the Protected Open Space Data attribute table includes the Assessor's Map, Block and Lot numbers (the Assessor's parcel identification numbering system), the official name of the parcel (such as the park or forest name if it has one), address and owner information, the deed volume and page numbers, survey information, open space type, the unique parcel ID number (Par_ID), comments collected by researchers during city/town hall visits, and acreage. This layer does not include parcels that do not meet the definition of open space as defined above. Features are stored as polygons that represent the best available locational information, and are "best fit" to the land base available for each. The Connecticut Department of Environmental Protection's (CTDEP) Permanently Protected Open Space Phase Mapping Project Phase 1 (Protected Open Space Phase1) layer

All mining, and petroleum and gas projects (resource projects) in Queensland require an environmental authority under the Environmental Protection Act 1994 (EP Act). Resource projects that are large-scale, complex and sensitive with higher environmental risk may also be required, or choose, to undergo an environmental impact statement (EIS) process.

The public register only includes records relating to the EIS process under Chapter 3 of the EP Act, which is administered by the Department of Environment, Science and Innovation (the department)

OWLETS1_Pandora_Data_1 is the Ozone Water-Land Environmental Transition Study (OWLETS-1) ozone and nitrogen dioxide data collected by the NASA GSFC Pandora Spectrometer Project located at NASA Langley Research Center, the Chesapeake Bay Bridge Tunnel, SERC Research Vessel, Virginia Commonwealth University (VCU) and Wallops Flight Facility during the OWLETS field campaign. OWLETS was supported by the NASA Science Innovation Fund (SIF). Data collection is complete.Coastal regions have typically posed a challenge for air quality researchers due to a lack of measurements available over water and water-land boundary transitions. Supported by NASA’s Science Innovation Fund (SIF), the Ozone Water-Land Environmental Transition Study (OWLETS) field campaign examined ozone concentrations and gradients over the Chesapeake Bay from July 5, 2017 – August 3, 2017, with twelve intensive measurement days occurring during this time period. OWLETS utilized a unique combination of instrumentation, including aircraft, TOLNet ozone lidars (NASA Goddard Space Flight Center Tropospheric Ozone Differential Absorption Lidar and NASA Langley Research Center Mobile Ozone Lidar), UAV/drones, ozonesondes, AERONET sun photometers, and mobile and ship-based measurements, to characterize the land-water differences in ozone and other pollutants. Two main research sites were established as part of the campaign: an over-land site at NASA LaRC, and an over-water site at the Chesapeake Bay Bridge Tunnel. These two research sites were established to provide synchronous vertical measurements of meteorology and pollutants over water and over land. In combination with mobile observations between the two sites, pollutant gradients were able to be observed and used to better understand the fundamental processes occurring at the land-water interface. OWLETS-2 was completed from June 6, 2018 – July 6, 2018 in the upper Chesapeake Bay region. Research sites were established at the University of Maryland, Baltimore County (UMBC), Hart Miller Island (HMI), and Howard University Beltsville (HUBV), with HMI representing the over-water location and UMBC and HUBV representing the over-land sites. Similar measurements were carried out to further characterize water-land gradients in the upper Chesapeake Bay. The measurements completed during OWLETS are of importance in enhancing air quality models, and improving future satellite retrievals, particularly, NASA’s Tropospheric Emissions: Monitoring of Pollution, which is scheduled to launch in 2022.