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.

Meet the Data Services & Analytics Team Leaders

Dr Siddeswara Guru

Data Services and Analytics Platform Lead

Mr Gerhard Weis

Solution Architect

Ms Wilma Karsdorp

Senior Software Engineer

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.

List of keywords used to classify FEGS, Beneficiaries, and Environment in document analysis of estuary management programs, as well as counts of the number of plans which were flagged as mentioning each subclass of FEGS/Beneficiariies/Environment. This dataset is associated with the following publication: Yee, S., A. Sullivan, K. Williams, and K. Winters. Who Benefits from National Estuaries? Applying the FEGS Classification System to Identify Ecosystem Services and their Beneficiaries. International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel, SWITZERLAND, 16(13): 2351, (2019).

The Environmental Research Division's Data Access Program (ERDDAP) is a data server that provides a simple, consistent way to download subsets of scientific datasets in common file formats and make graphs and maps. This particular ERDDAP installation has oceanographic data (for example, data from satellites and buoys). It acts as a middleman between users and various remote data servers by unifying the different types of data servers to provide a consistent way to get desired data in the desired format.

There is increasing enthusiasm around the concept of soil health, and as a result, new public and private initiatives are being developed to increase soil health-related practices on working lands in the United States. In addition, billions of U.S. public dollars are dedicated annually toward soil conservation programs, and yet, it is not well quantified how investment in conservation programs improve soil health and, more broadly, environmental health. The Environmental Quality Incentives Program (EQIP) is one of the major U.S. public conservation programs administered on privately managed lands for which public data are available. In this research, we developed a multi-dimensional classification system to evaluate over 300 EQIP practices to identify to what extent practices have the potential to improve different aspects of soil and environmental health. Using available descriptions and expert opinion, these practices were evaluated with a classification system based on the practice’s potential to exhibit the following environmental health outcomes: i) principles of soil health to reduce soil disturbance and increase agrobiodiversity; ii) a transition to ecologically-based management to conserve soil, water, energy and biological resources; and iii) adaptive strategy to confer agroecosystem resilience. Further, we analyzed nearly $7 billion U.S. dollars of financial assistance dedicated to these practices from 2009 through 2018 to explore the potential of these investments to generate environmental health outcomes. This data publication includes a complete record of contracts and funding initiated through the EQIP program for a ten year period (2009-2018), on a state, county and individual practice level.The U.S Department of Agriculture's Natural Resources Conservation Service (USDA NRCS) maintains a database of contract information for the EQIP program. The research team acquired it through a public records request from the Strategic Information Team in the Resource Economics and Analysis Division of the Natural Resources Conservation Service. The dataset includes the classification systems utilized in the analysis of Basche et al. (2020) to quantify the investments in the EQIP program that is dedicated to soil and environmental health.These data were originally published on 12/08/2020. Minor metadata updates were made on 07/22/2022.

This dataset contains a high quality operational Environmental Data Record (EDR) of Surface Types (ST) from the Visible Infrared Imaging Radiometer Suite (VIIRS) instrument onboard the Suomi-NPP satellite and is produced by the NOAA Environmental Satellite, Data, and Information Service (NESDIS). The VIIRS ST EDR provides 17 International Geosphere-Biosphere Program (IGBP) land cover classifications with global coverage at 1 kilometer spatial resolution and is updated daily. The algorithm requires inputs from several VIIRS EDRs including, Vegetation Index, Snow Cover, and Active Fires. Specific VIIRS spectral bands used to produce this EDR are M4 (555 nm), M11 (2.25 micron), M15 (11 micron), M16 (12 micron), I1 (640 nm), I2 (865 nm), I3 (1.6 micron), and I4 (3.75 micron). By default, IDPS VIIRS ST data obtained from the Comprehensive Large-Array Stewardship System (CLASS) are distributed in four 86-second granules in Hierarchical Data Format v.5 (HDF5) with metadata attributes included.

On September 22, 2012, EPA launched the SMM Electronics Challenge. The Challenge encourages electronics manufacturers, brand owners and retailers to strive to send 100 percent of the used electronics they collect from the public, businesses and within their own organizations to third-party certified electronics refurbishers and recyclers. The Challenge’s goals are to: 1). Ensure responsible recycling through the use of third-party certified recyclers, 2). Increase transparency and accountability through public posting of electronics collection and recycling data, and 3). Encourage outstanding performance through awards and recognition. By striving to send 100 percent of used electronics collected to certified recyclers and refurbishers, Challenge participants are ensuring that the used electronics they collect will be responsibly managed by recyclers that maximize reuse and recycling, minimize exposure to human health and the environment, ensure the safe management of materials by downstream handlers, and require destruction of all data on used electronics. Electronics Challenge participants are publicly recognized on EPA's website as a registrant, new participant, or active participant. Awards are offered in two categories - tier and champion. Tier awards are given in recognition of achieving all the requirements under a gold, silver or bronze tier. Champion awards are given in two categories - product and non-product. For champion awards, a product is an item that is manufactured, developed or refined for sale and is in the marketplace; while a non-product is an internal or external plan, strategy or policy for an organization, as well as a service, program or item that is intended for individual sale to a consumer. The Electronics Challenge is part of EPA's larger SMM program (https://www.epa.gov/smm). Sustainable Materials Management (SMM) is a systemic approach to using and reusing materials more productively over their entire lifecycles. It represents a change in how our society thinks about the use of natural resources and environmental protection. By looking at a product's entire lifecycle we can find new opportunities to reduce environmental impacts, conserve resources, and reduce costs. There are multiple challenge programs available as part of the SMM program, including the Food Recovery Challenge, the Electronics Challenge, the Federal Green Challenge, and the WasteWise program.

This dataset contains the percentage coverage of different substrate types (live scleractinian corals, dead scleractinian framework, rubble, hard substrates and fine sediments) found at the Logachev cold-water coral carbonate mounds. Video transect data were collected using the remotely operated vehicle (ROV) Holland-1 during the Changing Oceans Expedition 2012 on RRS James Cook (Cruise JC073) from 2012-05-27 to 2012-06-06. Image frames were extracted from the ROV videos and the percentage coverage was measured in Adobe Photoshop software (van der Kaaden and De Clippele, 2021). Terrain variables (i.e. Depth, Slope, Rugosity, Bathymetric Positioning Index) and Particulate organic matter (POM) per image file were extracted using the ESRI ArcMap v10.1 software. This data was used by De Clippele et al. (2021) to calculate biomass and to estimate the carbon and nitrogen turnover capacity of the study area.

The Canadian Environmental Sustainability Indicators (CESI) program provides data and information to track Canada's performance on key environmental sustainability issues. The Water quality in Canadian rivers indicators provide a measure of the ability of river water across Canada to support plants and animals. At each monitoring site, water quality data are compared to water quality guidelines to create a rating for the site. If measured water quality is below the guidelines, it can maintain a healthy ecosystem. Water quality at a monitoring site is considered excellent when substances in a river are very rarely measured above their guidelines. Conversely, water quality is rated poor when measurements are usually above their guidelines, sometimes by a wide margin. These indicators provide information about the state of surface water quality and its change through time, to support water resource management. Information is provided to Canadians in a number of formats including: static and interactive maps, charts and graphs, HTML and CSV data tables and downloadable reports. See the supplementary documentation for the data sources and details on how the data were collected and how the indicator was calculated.

Supplemental Information

Canadian Environmental Sustainability Indicators - Home page:

https://www.canada.ca/environmental-indicators

The Greenhouse Gas Reporting Program (GHGRP) collects information on greenhouse gas (GHG) emissions annually from facilities across Canada. It is a mandatory program for those who meet the requirements. Facilities that emit 10 kilotonnes or more of GHGs, in carbon dioxide (CO2) equivalent (eq.) units, per year must report their emissions to Environment and Climate Change Canada. The emissions data is available in two files, each presenting emissions by different breakdowns and offered in two convenient formats for downloads: .xlsx and .csv. The Emissions by Gas file, covering data from 2004 to present, contains emissions (in tonnes and tonnes of CO2 eq.) for each facility categorized by gas type, including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrofluorocarbons (HFC), perfluorocarbons (PFC), and sulphur hexafluoride (SF6). The Emissions by Source file, starting from 2022, includes emissions data (in tonnes and tonnes of CO2 eq.) broken down by source category, encompassing Stationary Fuel Combustion, Industrial Process, On-site Transportation, Waste, Wastewater, Venting, Flaring, and Leakage. For additional information and usage guidelines, please refer to the accompanying "Lisez Moi - Read Me" file. Additionally, our data search tool can assist you in efficiently navigating and extracting specific information from the GHGRP's data. Supplemental Information Learn more about the GHGRP: https://www.canada.ca/en/environment-climate-change/services/climate-change/greenhouse-gas-emissions/facility-reporting.html Overview of Reported Emissions - An annual summary report of the facility-reported emissions and trends: https://www.canada.ca/en/environment-climate-change/services/climate-change/greenhouse-gas-emissions/facility-reporting/data.html Canada's Greenhouse Gas Emissions: https://www.canada.ca/en/environment-climate-change/services/climate-change/greenhouse-gas-emissions.html Contact us: https://www.canada.ca/en/environment-climate-change/services/climate-change/greenhouse-gas-emissions/contact-team.html

This dataset is comprised of policy data, performance data, accompanying URL links on each data entry if available, and indicator category average data. The table of attributes contains data across 29 sustainability indicators, with upwards to 28,000 data entries. Several empty columns exist within the sheet as placeholders for future data entries, with a majority of columns to be used for future performance data and a few columns to be used for category averages once additional performance data has been collected.The Datasheet builds upon the previous iteration of the GRI, version 3.6, expanding the GRI from 28 sustainability indicators and 11 categories to 29 indicators and 12 categories. The dataset is used to develop the Green Region Initiative Sustainability Indicators Map which will provide a visual representation of both policy and performance progress being made in cities and counties throughout the SCAG region. It provides a resource for local governments to visualize sustainability progress, explore best practices, collaborate on programs, identify areas of opportunity, and assess and target the needs of communities. Data sourcePolicy Data: Developed by 2014-2015, 2015-2016, 2017-2018, 2018-2019, and 2019-2020 CivicSpark Fellows Primary data-collection sourced from policies or plans unique to each city or county for each indicator. Using the primary data-collection, the CivicSpark Fellows developed unique metrics for each indicator. A metric system developed by Environmental Science Associates for the Regional Climate Adaptation Framework in January 2020 was incorporated into the Adaptation Planning Indicator. The Governor’s Office of Business and Development shared their data from 2019-2020 on AB 1236 compliance throughout the state with SCAG to inform the Electric Vehicle Permitting Indicator Policy map.Performance Data: Developed by 2016-2017 CivicSpark FellowsPrimary data-collection sourced from various providers (i.e. California, Solar Statistics, Cool California, Energy Star, LEED, etc.). Using the primary data-collection, the CivicSpark Fellows developed unique metrics for each indicator. Category Average: Developed by 2016-2017 and 2017-2018 CivicSpark FellowsPrimary data-collection sourced from existing Policy and Performance Data developed by CivicSpark Fellows. Metrics based on a 4-tiered system. Category Averages were recalculated in 2019-20 for Built Environment, Climate Action, Health, Motorized Transportation, Open Space, and Urban Greening. Category Average was removed from Water in 2019-20 due to the reassignment of the Stormwater Management Indicator to Urban Greening and no longer having enough data to calculate Category Average. Category Average created for the new Urban Greening Topic, which contains the Parks, Stormwater Management, and Urban Forestry Indicators. Open Space no longer has a Category Average for Performance because the Parks Indicator was moved into Urban Greening and the Farmland Indicator does not have Performance metrics.Data yearDue to the Datasheet building upon previous iterations of the GRI, there are multiple data years for which the data was collected, thus limiting the validity of the current data. The following lists categorize the Policy, Performance, and Category Average data by Indicator from date of validity, beginning with the most recent. The date of validity represents the year the data was researched and updated in. A list of incomplete data is included.Policy Data:Valid as of March 2020Adaptation & Resilience PlanningClimate Action Planning Electric Vehicle PermittingValid as of May 2018Renewable EnergyCommunity Energy EfficiencyMunicipal Energy EfficiencyCommunity GHG Emissions InventoryMunicipal GHG Emissions InventoryAffordable HousingBikesPedestriansComplete StreetsElectric Vehicles Municipal Alternative Fuel FleetWater ConservationStormwater ManagementHealthy Food AccessValid as of September 2016 Municipal Green BuildingCommunity Green BuildingParking ManagementUrban ForestryParksNatural LandsFarmlandWaste MinimizationPublic HealthSustainability GrantsGreen Business Program/EPPParticipation/Collaboration PolicyIncomplete DataN/APerformance Data:Valid as of September 2017Renewable EnergyCommunity Energy EfficiencyClimate Action PlanningCommunity GHG Emissions InventoryMunicipal GHG Emissions InventoryMunicipal Green BuildingCommunity Green BuildingUrban ForestryBikesPedestriansComplete StreetsParksNatural LandsWaste MinimizationSustainability GrantsIncomplete DataCommunity Energy EfficiencyMunicipal Energy EfficiencyAffordable HousingParking ManagementElectric VehiclesMunicipal Alternative Fuel FleetFarmlandWater ConservationStormwater ManagementHealthy Food AccessGreen Business Program/EPPParticipation/Collaboration PolicyAdaptation

Metadata and Conversion Code for the datasets are available for download. This dataset is comprised of policy data, performance data, accompanying URL links on each data entry if available, and indicator category average data. The table of attributes contains data across 29 sustainability indicators, with upwards to 28,000 data entries. Several empty columns exist within the sheet as placeholders for future data entries, with a majority of columns to be used for future performance data and a few columns to be used for category averages once additional performance data has been collected.The Datasheet builds upon the previous iteration of the GRI, version 3.6, expanding the GRI from 28 sustainability indicators and 11 categories to 29 indicators and 12 categories. The dataset is used to develop the Green Region Initiative Sustainability Indicators Map which will provide a visual representation of both policy and performance progress being made in cities and counties throughout the SCAG region. It provides a resource for local governments to visualize sustainability progress, explore best practices, collaborate on programs, identify areas of opportunity, and assess and target the needs of communities. Data sourcePolicy Data: Developed by 2014-2015, 2015-2016, 2017-2018, 2018-2019, and 2019-2020 CivicSpark Fellows Primary data-collection sourced from policies or plans unique to each city or county for each indicator. Using the primary data-collection, the CivicSpark Fellows developed unique metrics for each indicator. A metric system developed by Environmental Science Associates for the Regional Climate Adaptation Framework in January 2020 was incorporated into the Adaptation Planning Indicator. The Governor’s Office of Business and Development shared their data from 2019-2020 on AB 1236 compliance throughout the state with SCAG to inform the Electric Vehicle Permitting Indicator Policy map.Performance Data: Developed by 2016-2017 CivicSpark FellowsPrimary data-collection sourced from various providers (i.e. California, Solar Statistics, Cool California, Energy Star, LEED, etc.). Using the primary data-collection, the CivicSpark Fellows developed unique metrics for each indicator. Category Average: Developed by 2016-2017 and 2017-2018 CivicSpark FellowsPrimary data-collection sourced from existing Policy and Performance Data developed by CivicSpark Fellows. Metrics based on a 4-tiered system. Category Averages were recalculated in 2019-20 for Built Environment, Climate Action, Health, Motorized Transportation, Open Space, and Urban Greening. Category Average was removed from Water in 2019-20 due to the reassignment of the Stormwater Management Indicator to Urban Greening and no longer having enough data to calculate Category Average. Category Average created for the new Urban Greening Topic, which contains the Parks, Stormwater Management, and Urban Forestry Indicators. Open Space no longer has a Category Average for Performance because the Parks Indicator was moved into Urban Greening and the Farmland Indicator does not have Performance metrics.Data yearDue to the Datasheet building upon previous iterations of the GRI, there are multiple data years for which the data was collected, thus limiting the validity of the current data. The following lists categorize the Policy, Performance, and Category Average data by Indicator from date of validity, beginning with the most recent. The date of validity represents the year the data was researched and updated in. A list of incomplete data is included.Policy Data:Valid as of March 2020Adaptation & Resilience PlanningClimate Action Planning Electric Vehicle PermittingValid as of May 2018Renewable EnergyCommunity Energy EfficiencyMunicipal Energy EfficiencyCommunity GHG Emissions InventoryMunicipal GHG Emissions InventoryAffordable HousingBikesPedestriansComplete StreetsElectric Vehicles Municipal Alternative Fuel FleetWater ConservationStormwater ManagementHealthy Food AccessValid as of September 2016 Municipal Green BuildingCommunity Green BuildingParking ManagementUrban ForestryParksNatural LandsFarmlandWaste MinimizationPublic HealthSustainability GrantsGreen Business Program/EPPParticipation/Collaboration PolicyIncomplete DataN/APerformance Data:Valid as of September 2017Renewable EnergyCommunity Energy EfficiencyClimate Action PlanningCommunity GHG Emissions InventoryMunicipal GHG Emissions InventoryMunicipal Green BuildingCommunity Green BuildingUrban ForestryBikesPedestriansComplete StreetsParksNatural LandsWaste MinimizationSustainability GrantsIncomplete DataCommunity Energy EfficiencyMunicipal Energy EfficiencyAffordable HousingParking ManagementElectric VehiclesMunicipal Alternative Fuel FleetFarmlandWater ConservationStormwater ManagementHealthy Food AccessGreen Business Program/EPPParticipation/Collaboration PolicyAdaptation

This dataset provides gridded land cover classifications for the area north of Big Trail Lake, an active thermokarst lake in Goldstream Valley (near Fairbanks, Alaska, USA) at 10 cm resolution. Land cover classifications were derived from a supervised random forest classification using RedEdgeMX and multiSPEC4C multispectral drone imagery, normalized difference vegetation index (NDVI), and the USGS 3D Elevation Program (3DEP) digital surface model (DSM) elevation data. RedEdgeMX data was collected in July 2021 on and multiSPEC4C on 2019-08-04. Additionally, gridded microtopography and slope estimates were derived at 1m resolution. Field samples were collected at 15 sites across the study area in June 2021 and August 2022. Field data include methane (CH4) and carbon dioxide (CO2) fluxes, gross primary production (GPP), SIMPER microbial community analysis, methanogen abundance, soil characteristics, and meteorological characteristics. Gridded products are provided in cloud-optimized GeoTIFF format, field data are provided in comma-separated values format, and sample location photos in JPEG format are contained within a compressed file.

This layer identifies Site Remediation Program (SRP) cases that meet the definition of an Immediate Environmental Concern (IEC), as per N.J.A.C. 7:26E-1.8. As such, IEC cases are priority remedial cases that involve exposure to contaminants that may result in risks to human health. The IEC layer includes points representing potable well, vapor intrusion and direct contact IECs. The location of these points identifies the site where the source of the contamination originated from when known or a centralized location of a contaminated area when the source of the contamination is unknown. This metadata is specifically for a companion relational table that displays information concerning the LSRP assigned to the IEC case when applicable. The relationship is set up based on the following NJEMS identifiers: Internal Document ID and Subject Item ID. Additional information concerning an IEC case can be obtained by contacting Andrew Sites of the Bureau of the Immediate Concern Unit (ICU) at (609) 530-2582; the Licensed Site Remediation Professional (LSRP) if one is associated with the case and through the IEC dataminer report at https://datamine2.state.nj.us/DEP_OPRA/OpraMain/categories?category=General. The IEC layer will reflect current IEC data in NJEMS through nightly cycle updates.

B Corporation Impact Data

Social and environmental impact data of Certified B Corporations worldwide

By B Lab [source]

About this dataset

The Certified B Corporations Impact Data dataset provides valuable information on the social and environmental impact of certified B Corporations worldwide. B Corps are businesses that meet high standards of verified performance, accountability, and transparency in areas such as employee benefits, charitable giving, supply chain practices, and input materials. This certification signifies a commitment to an inclusive, equitable, and regenerative economy.

The dataset includes data from over 5,000 certified B Corps located across various industries around the world. It offers insights into the impact these companies have on society and the environment. The data is derived from the comprehensive B Impact Assessment which measures a company's entire social and environmental performance.

This dataset is a valuable resource for analyzing and understanding how B Corps contribute to positive change in business practices. Whether you're interested in researching sustainability efforts or evaluating companies' societal contributions, this dataset provides detailed information on various impact topics such as governance practices, community engagement, employee well-being, energy efficiency, waste management initiatives, diversity initiatives among others.

By examining this data set researchers will be able to explore each individual Impact Area's subtopics known as Impact Topics and identify patterns or trends within specific industries or geographical regions.

It is important to note that changes have been made to this version of the dataset based on user feedback. For instance decertified companies have been added to allow continued research on companies that were once certified but are no longer active participants in the program.

To facilitate analysis using this dataset effectively it may be helpful for analysts/researchers/scholars/individuals explore a sample B Impact Report provided by bcorporation.net/certification as well familiarize themselves with our hierarchy per question structure starting with questions falling under an respective impact area section eventually specifics can classify those questions into more granular impact topics. Please note that while we provide scores for all Certified B Corps within these Impact Topics/areas unfortunately access to company-specific answers for each question is not disclosed.

In conclusion, this dataset serves as a valuable resource for understanding the impact of B Corps on society and the environment. It enables researchers, analysts, and individuals interested in sustainable business practices to explore and analyze the performance of certified B Corporations across various impact areas and topics

How to use the dataset

How to Use This Dataset:

• Understand Certified B Corporations: Familiarize yourself with the concept of Certified B Corporations and their mission. Visit the B Corporation website to learn more about what it means to be a certified B Corp.

• Explore Data Columns: Review the available data columns in the dataset provided. Each column contains specific information related to impact areas, topics, and individual questions.

• Analyze Impact Areas: Impact areas represent broad categories that encompass various impact topics. Begin by examining the different impact areas in order to gain an overview of the diverse areas in which B Corps have demonstrated their social and environmental performance.

• Review Impact Topics: Dive deeper into each impact area by exploring the associated impact topics within them. These topics provide detailed insights into specific aspects of a company's operations, such as employee benefits, supply chain practices, environmental stewardship, community engagement, governance practices, etc.

• Evaluate Scores: The dataset includes scores for each certified B Corp within each impact topic and area but does not provide individual company answers or responses. Assess these scores carefully as they reflect how well organizations are performing in different dimensions of their social and environmental responsibilities.

• Identify Trends & Patterns: Utilize data visualization techniques or statistical analysis methods to identify trends or patterns across companies within specific industries or geographic regions based on their scores for different impact areas/topics.

• Compare Companies: Compare selected companies' scores with others that operate within similar sectors or regions; this can help identify indust...

Integrated Report 2022 (references)The NC Department of Environmental Quality’s Integrated Water Quality Report checks to see if North Carolina’s waterways meet federal and state standards every two years. It incorporates information from multiple data sources, such as local monitoring programs and voluntary work, to group bodies of water into five categories:Category 1: Waters meet all standards.Category 2: Waters meet some standards.Category 3: Waters lacking enough data.Category 4: Impaired waters with a plan.Category 5: Impaired water and need a plan.The data varies in quality and coverage, and not all water bodies are monitored equally, leading to some limitations in assessing smaller or remote areas.https://www.deq.nc.gov/about/divisions/water-resources/water-planning/modeling-assessment/water-quality-data-assessmenthttps://ncdenr.maps.arcgis.com/apps/instant/sidebar/index.html?appid=06dda86e607b4ac6861b19b905c82a8fhttps://ncdenr.maps.arcgis.com/apps/mapviewer/index.html?layers=37696e11dac34786bdc94db84d54ff70NC DEQ AFO ANIMAL FEEDING OPERATION:The AFO (Animal Feeding Operations) program at NC DEQ manages permit applications for big farm operations, such as those raising hogs, chickens and cows. These farms have to comply with regulations on the disposal of waste for water quality reasons. The permits are reviewed every five years to make sure that they’re up to date. Program data are collected through inspections and reports, but they don’t always provide an accurate picture of the environmental impact, and tracking varies by farm. Its limitations are inconsistencies of data and incomplete monitoring of waste management at every site.https://www.deq.nc.gov/about/divisions/water-resources/permitting/animal-feeding-operationsNC Surface Water Supply WatershedsIn NC DEQ’s Surface Water Supply Watersheds maps, waterbodies are assigned to uses such as drinking water, swimming or fishing. These categories set the boundaries for water quality management to safeguard public health and ecosystems. They are based on water monitoring systems and scientific research, but the uncertainties are fluctuating water quality and monitoring performance. These classifications might have to be updated as water use varies.https://www.deq.nc.gov/about/divisions/water-resources/water-planning/classification-standards/classificationsNPDES Wastewater Discharge PermitsNPDES Wastewater Discharge Permits regulate treatment facilities’ discharge of treated wastewater into rivers and lakes to protect water quality. The permits cap the concentration of contaminants according to the water in place. They are the result of daily monitoring and assessments, though sometimes facilities can vary how these are tracked and reported which can impact the consistency of enforcement.https://www.deq.nc.gov/about/divisions/water-resources/permitting/npdes-wastewaterDWR FISH TISSUE MONITORING DATAThe DWR Fish Tissue Monitoring Program inspects North Carolina waterways for heavy metals, pesticides and PCBs (Polychlorinated Biphenyls). PCBs are industrial chemicals that build up in fish, and they are harmful if consumed. It’s data that are used to issue fish-consumption advisories to help keep people safe. They collect samples by electrofishing (which consists of fish that humans eat). Constraints: data are not collected in every watershed, and older data don’t necessarily reflect recent pollution.https://www.deq.nc.gov/about/divisions/water-resources/water-sciences/biological-assessment-branch/dwr-fish-tissue-monitoring-data

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

The Database of Communities of National Environmental Significance stores maps, taxonomic, ecological, and management information about Communities of National Environmental Significance listed in the Environment Protection and Biodiversity Conservation (EPBC) Act 1999 as threatened ecological communities.

Credit:

State and Commonwealth Herbaria, Museums and Conservation Agencies Centre for Plant Biodiversity Research Australian Government Department of the Environment, Environmental Resources Information Network

External accuracy:

The positional accuracy of spatial data is a statistical estimate of the degree to which planimetric coordinates and elevations of features agree with their real world values. The planimetric accuracy attainable in the vector data will be composed of errors from three sources:

1. The positional accuracy of the source material

2. Errors due to the conversion processes.

3. Errors due to the manipulation processes.

This specification cannot prescribe a figure for the planimetric accuracy of the existing source material used for capture of community distributions as it has already been produced. The errors due to the digitising process depend on the accuracy of the digitising table set-up or the scanner resolution, systematic errors in the equipment, errors due to software and errors specific to the operator. An accepted standard for digitising is that the line accuracy should be within half a line width.

Non Quantitative accuracy:

Tests are undertaken to ensure that there are no errors in attributes:

• The spatial resolution of the data is reflected in the Presence Categories

• Presence categories are one of:

\* Community known to occur within area

\* Community likely to occur within area

\* Community may occur within area (general indication only)

Conceptual consistency:

Tests undertaken for logical consistency:

• Names of export files and data quality table are correct

• Table names are valid

• Item names in coverages are valid

• Item names are present in coverage attribute files

• Label points and entity point features have only one coordinate pair

• The Arc/Info coverages can be generated, have attributes attached and be 'built'

• In polygon coverages there are no label errors i.e. every polygon has one and only one polygon label point

• Data format, projection and data type are correct

• There are no overshoots, i.e. arc overhangs at intersections (1% error acceptable)

• There are no undershoots, i.e. arcs failing to meet at intersections (0.5% error acceptable)

• There are no new polygons smaller than the minimum specified area (5% error acceptable)

• There are no new linear features shorter than the minimum length (5% error acceptable)

• There are no artefacts such as spikes or deviations visible at 1:125 000 (5% error acceptable)

• Separate covers have exactly coincident lines where intended (5% error acceptable)

Completeness omission:

The database is continually being updated as the lists of threatened ecological communities on schedules of the EPBC Act are amended.

The Species of National Environmental Significance database is available at

https://www.environment.gov.au/science/erin/databases-maps/snes

Dataset History

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

The Spatial information is stored in a geographic information system and links to the Species Profile tables through the community identifier.

Source data were provided from a range of government, industry and non-government organisations.

Testing is carried out using a combination of expert opinion and on-screen checks.

Dataset Citation

Department of the Environment (2015) Communities of National Environmental Significance Database - RESTRICTED - Metadata only. Bioregional Assessment Source Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/c01c4693-0a51-4dbc-bbbd-7a07952aa5f6.

The National Air Pollution Surveillance (NAPS) program is the main source of ambient air quality data in Canada. The NAPS program, which began in 1969, is now comprised of nearly 260 stations in 150 rural and urban communities reporting to the Canada-Wide Air Quality Database (CWAQD). Managed by Environment and Climate Change Canada (ECCC) in collaboration with provincial, territorial, and regional government networks, the NAPS program forms an integral component of various diverse initiatives; including the Air Quality Health Index (AQHI), Canadian Environmental Sustainability Indicators (CESI), and the US-Canada Air Quality Agreement. Once per year, typically autumn, the Continuous data set for the previous year is reported on ECCC Data Mart. Beginning in March of 2020 the impact of the COVID-19 pandemic on NAPS Operations has resulted in reduced data availability for some sites and parameters. For additional information on NAPS data products contact the NAPS inquiry centre at RNSPA-NAPSINFO@ec.gc.ca Last updated March 2023. Supplemental Information Monitoring Program Overview The NAPS program is comprised of both continuous and (time-) integrated measurements of key air pollutants. Continuous data are collected using gas and particulate monitors, with data reported every hour of the year, and are available as hourly concentrations or annual averages. Integrated samples, collected at select sites, are analyzed at the NAPS laboratory in Ottawa for additional pollutants, and are typically collected for a 24 hour period once every six days, on various sampling media such as filters, canisters, and cartridges. Continuous Monitoring Air pollutants monitored continuously include the following chemical species: • carbon monoxide (CO) • nitrogen dioxide (NO2) • nitric oxide (NO) • nitrogen oxides (NOX) • ozone (O3) • sulphur dioxide (SO2) • particulate matter less than or equal to 2.5 (PM2.5) and 10 micrometres (PM10) Each provincial, territorial, and regional government monitoring network is responsible for collecting continuous data within their jurisdiction and ensuring that the data are quality-assured as specified in the Ambient Air Monitoring and Quality Assurance/Quality Control Guidelines. The hourly air pollutant concentrations are reported as hour-ending averages in local standard time with no adjustment for daylight savings time. These datasets are posted on an annual basis. Integrated Monitoring Categories of chemical species sampled on a time-integrated basis include: • fine (PM2.5) and coarse (PM10-2.5) particulate composition (e.g., metals, ions), and additional detailed chemistry provided through a subset of sites by the NAPS PM2.5 speciation program; • semi-volatile organic compounds (e.g., polycyclic aromatic hydrocarbons such as benzo[a]pyrene); • volatile organic compounds (e. g., benzene) The 24-hour air pollutant samples are collected from midnight to midnight. These datasets are generally posted on a quarterly basis. Data Disclaimer NAPS data products are subject to change on an ongoing basis, and reflect the most up-to-date and accurate information available. New versions of files will replace older ones, while retaining the same location and filename. The ‘Data-Donnees’ directory contains continuous and integrated data sorted by sampling year and then measurement. Pollutants measured, sampling duration and sampling frequency may vary by site location. Additional program details can be found at ‘ProgramInformation-InformationProgramme’ also in the data resources section. Citations National Air Pollution Surveillance Program, (year accessed). Available from the Government of Canada Open Data Portal at open.canada.ca.

Included are a 'read-me' file, five replication files (1 Stata do file and 4 Matlab codes), and datasets. The datasets used in the analysis comprise annual facility-level data for TRI facilities across 11 industry categories. Refer to 'readme' file for detailed data sources and replication. Refer to Stata do file for the code flow.

The Clean Air Markets Program Data (CAMPD) application, accessible at https://campd.epa.gov/, allows users to view Clean Air Markets data through the Custom Data Download Tool and Bulk Data Files. These tools are driven by APIs documented in the CAM API Portal https://www.epa.gov/airmarkets/cam-api-portal, which is accessible through CAMPD. The Custom Data Download Tool and APIs allow users to create custom queries to explore CAMD’s database through different data types: emissions, allowances, compliance, and facility attributes. Prepackaged Bulk Data Files are also available for commonly requested datasets and larger data downloads. EPA's Clean Air Markets Division (CAMD) manages several market-based regulatory programs designed to improve air quality and ecosystems. The most well-known of these programs are EPA's Acid Rain Program and the Cross-State Air Pollution Rule (CSAPR) Programs, which reduce emissions of sulfur dioxide (SO2) and nitrogen oxides (NOx)-compounds that adversely affect air quality, the environment, and public health.

This hosted feature layer has been published in RI State Plane Feet NAD 83.RI CRMC Water Use Category Mapping -- Vector polygon representations of all RI Water Subject to CRMC Regulation as described in the Publication "The State of Rhode Island, Coastal Resources Management Program, As Amended" (aka, The Redbook) Section 200 Tidal and Coastal Pond Waters A. The six categories of waters defined in this Program are directly linked to the characteristics of the shoreline, since the activities on the adjacent mainland are the primary determinant of the uses and qualities of any specific water site.The six categories of waters defined in this Program are directly linked to the characteristics of the shoreline, since the activities on the adjacent mainland are the primary determinant of the uses and qualities of any specific water site.Type 1 waters abut shorelines in a natural undisturbed condition, where alterations, including the construction of docks and any dredging, are considered by the Council as unsuitable.Type 2 waters are adjacent to predominantly residential areas, where docks are acceptable, but more intense forms of development, including more marinas and new dredging projects (but not maintenance dredging), would change the area's character and alter the established balance among uses. Alterations such as these would bring more intensive uses and are therefore prohibited in Type 2 waters. The waters along some 70 percent of the state's 420 miles of shoreline have been assigned to Type 1 and Type 2, and should be expected to retain their high scenic values and established patterns of low-intensity use.Type 3 waters are dominated by commercial facilities that support recreational boating. Here, marinas, boatyards, and associated businesses take priority over other uses, and dredging and shoreline alterations are to be expected.Type 4 areas include the open waters of the Bay and the Sounds, where a balance must be maintained among fishing, recreational boating, and commercial traffic. Here high water quality and a healthy ecosystem are primary concerns. The last two water use categories are assigned to areas adjacent to ports and industrial waterfronts. In these waters, maintenance of adequate water depths is essential, high water quality is seldom achievable, and some filling may be desirable.Within Type 5 ports, a mix of commercial and recreational activities must co-exist,while in Type 6 waters, water-dependent industrial and commercial activities take precedence over all other activities.The water categories described in this section are complemented by policies for shoreline types (Section 210), and the two must be combined to identify the Program's policies for a specific coastal site. More than 90 percent of Rhode Island's tidal waters are classified by the R.I. Department of Environmental Management as SA, the highest water quality rating. Water pollution, however, is a major concern, with eutrophication and bacterial contamination a growing concern in the salt ponds and with all major indicators of pollution showing strong gradients down the Bay from the Providence metropolitan area. Despite the pollutants and intense fishing pressure, Rhode Island's tidal waters support large seasonal populations of a variety of finfish. In the Bay, the quahog supports a large and important commercial fishery. Recreational fishing for flounder, bluefish, and striped bass is important nearshore. Rhode Island has a rich history of maritime commerce and industry. In this century, however, the once-booming urban waterfronts of the upper Bay have stagnated and declined despite major infusions of public funds to deepen the access channel to Providence to 40 feet and build new terminal facilities. During the postwar decades, oil imports have dominated waterborne commerce, but this sector has declined sharply since the mid-seventies. In 1973, the U.S. Navy announced a major pullout from its extensive facilities in the lower Bay, and by 1980 hundreds of acres of port facilities at Quonset, Davisville, Melville, and Coddington Cove had been turned over to the state. The State of Rhode Island now owns a large inventory of unutilized or underutilized port facilities. As commercial shipping has declined, recreational boating has increased. Facilities for the in-water storage of boats are in short supply, but with very few exceptions expansion of marinas into new areas could only be accomplished if remaining salt marshes and other important natural features were sacrificed. Since this is considered unacceptable by the Council, the emphasis must be on the more efficient use of existing facilities, recycling of underutilized but already disturbed sites, and improvements to public launching facilities. Activities that are dependent on Rhode Island's tidal waters generate substantial economic benefits to the state. Nearly one billion dollars are generated each year by such water-related activities as marine industry, transportation and education, commercial fishing and marine recreation (Farrell and Rorholm, 1981). Substantial additional economic benefits are generated by water-enhanced residential development, tourism, and the importance of an attractive marine environment in drawing high-quality businesses to Rhode Island. Coastal Resources Management Council approved changes to Water Types adopted 2010: Portion of the Seekonk River along the Providence shoreline from Type 4 to Type 1 Portion of the Providence River at Bold Point from Type 6 to Type 4 Portion of the Providence River south of the Providence and Worcester Railroad quay from Type 6 to Type 5 Portion of the Providence River along the East Providence shoreline from Type 6 to Type 2 Coastal Resource Management Council Approved Changes to Water Types adopted June 2011: 1. Portion of Ninigret Pond adjacent to the Ninigret National Wildlife Refuge (former Charlestown NAS) changed from Type 2 - Low Intensity Use to Type 1 - Conservation Area 2. Portion of Bissel Cove, North Kingstown adjacent to John H. Chafee Rome Point Conservation area changed from Type 2 toType 1 3. Portion of Dutch Harbor, Jamestown adjacent to Watson Farm & Great Creek changed from Type 2 to Type 1 4. Portion of Warren River at Jacobs Point, adjacent to ASRI Claire D. McIntosh Refuge changed from Type 2 to Type 1 5. Type 1 Waters along the Providence shoreline of the Seekonk River from a point starting 250 feet north of the Narragansett Boat Club property (parcel 41-258) north to the Pawtucket city line and out to within approximately 50 feet of the existing federal channel(Adopted by the Council on January 27, 2010). 6. A straight line running WNW from the Union Oil property boundary with Bold Point Park in East Providence to the easterly boundary of the State of Rhode Island property (parcel 18-344) at India Point (Adopted by the Council on January 27, 2010). 7. A straight line starting approximately 120 feet south of the existing Providence & Worcester quay (parcel 7-1-3) running WSW and more or less perpendicular to the federal channel out into the river ending approximately 120 from the federal channel (Adopted by the Council on January 27, 2010). 8. A straight line starting at the boundary of parcels 109-1-1 and 109-1-3 running WSW and more or less perpendicular to the federal channel out into the river ending approximately 120 from the federal channel (Adopted by the Council on January 27, 2010). 9. A straight line starting at the boundary of parcels 210-3-6 and 210-3-8 running West out into the river stopping approximately 120 from the federal channel (Adopted by the Council on January 27, 2010). Coastal Resources Management Council approved changes to Water Types adopted 2013: Portion of Mt Hope Bay at Roger Williams University from Type 1 to Type 2 Additional Information: RI Coastal Resources Management Council Website: https://www.crmc.ri.gov/index.html CRMC Redbook: https://www.crmc.ri.gov/pubs/programs/redbook.pdf Delineation of water use classifications is based on descriptions in Appendix 1 of the Redbook. The Rhode Island offshore 3 mile limit was taken from NOAA Office of Coast Survey GIS data 2004.