This dataset provides the waste sector disaggregation data, model component matrices, model result matrices, model price adjustment matrices, demand vectors, and associated metadata for the USEEIO v2.0.1-411 model. This model was generated using useeior v1.0.0 (https://github.com/USEPA/useeior/tree/v1.0.0/) by calling the buildModel() function and passing "USEEIOv2.0.1-411" as the model. This uses the model configuration file, which can be found @ https://github.com/USEPA/useeior/blob/v1.0.0/inst/extdata/modelspecs/USEEIOv2.0.1.yml. The model is named according to the USEEIO model versioning scheme, https://github.com/USEPA/USEEIO/blob/8a43f7f5f847fe1ca6dadca3c433bceb3f29981b/VersioningScheme.md. The resulting model was exported using the writeModeltoXLSX() function to create this dataset. The waste disaggregation data are required for model building and also embedded in useeior. The generateModelIdentifier() function was used on the same model create the model identifier. The US dollar (USD) year for the model data, where USD is used, is 2012. See any additional notes in Contents on specific components. A complete description can be found in the associated manuscript.

This dataset consists of various USEEIO v2.5 models. All models are built using the coupled model approach described in the EPA 2024 report "Estimating embodied environmental flows in international imports for the U.S. Environmentally-Extended Input-Output (USEEIO) Model" and using the v1.7.0 release of useeior. Models are named using an alias that corresponds with a unique set of model attributes, and the final two digits represent the last two digits of the year intended to be represented. Model alias attributes are defined at https://github.com/USEPA/USEEIO/blob/master/models.md#aliases. Catbird and oriole are detailed and summary-level models, respectively, coupled with CEDA 2024 for representing GHGs in imports. Kinglet and kingbird are detailed and summary-level models, respectively, coupled with EXIOBASE v3.8.2 for representing GHGs in imports. Waxwing and yellowthroat are detailed and summary-level models, respectively, coupled with the GLORIA v59a model for representing GHGs and material flows in imports. The summary level models are available for 2017-2022 for EXIOBASE- and GLORIA-coupled models and 2022 for the CEDA-coupled model. The detailed CEDA, EXIOBASE and GLORIA coupled models are only available for 2022 (note underlying U.S. IO data represents 2017 for detailed models). "v2.5-kingbird-" models replace "v2.3-s-GHG-" models, published under "USEEIO Models with Import Emission Factors for Greenhouse Gases for 2017-2022 from EXIOBASE coupled model". "v2.5-oriole-22" replaces "v2.4-oriole-22" , published under "USEEIO Models with Import Emission Factors for Greenhouse Gases for 2022 from CEDA coupled model". The model objects are in unique tabs/worksheets of each file and defined in https://github.com/USEPA/useeior/blob/v1.7.0/format_specs/Model.md. Links to the model specification files are provided below. More information can be found on these models in two additions to the original EPA report "Estimating embodied environmental flows in international imports for the USEEIO Model" https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=362470. The "Corrigendum: Updated Results for Consumption-based GHG Emissions" describes updates related to the EXIOBASE and CEDA coupled models. Addendum 2 describes the GLORIA coupled models. Please cite this dataset as "Young, Ben, and Wesley Ingwersen. 2025. USEEIO v2.5 Models. Data.gov. https://doi.org/10.23719/1532178.". This dataset is associated with the following publication: Ingwersen, W.W., J. Namovich, B. Young, and J. Vendries. Estimating embodied environmental flows in international imports for the USEEIO Model. U.S. Environmental Protection Agency, Washington, DC, USA, 2024.

This dataset is part of the USEEIO v1.1 model release. It provides the elementary flows used in the USEEIO v1.1 Satellite Tables (DOI: 10.23719/1365565) and their matching characterization factors for the various indicators. The indicators are described and categorized. An original mapping file is also provided that shows the correspondence between original source names for resources, emissions, land, etc and USEEIO elementary flows. This dataset supersedes USEEIO Elementary Flows and Life Cycle Impact Assessment (LCIA) Characterization Factors(https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B8A87EE76-F047-43E1-A4B3-9D83BAE110C4%7D). It can be exported as a .csv file and used with the exported satellite tables and BEA 2007 Make and Use tables to build USEEIO v1.1 using the IO Model Builder (https://github.com/USEPA/IO-Model-Builder). This dataset is associated with the following publication: Yang, Y., W. Ingwersen, T. Hawkins, and D. Meyer. USEEIO: A new and transparent United States environmentally extended input-output model. JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, USA, 158: 308-318, (2017).

This dataset provides the basic building blocks for the USEEIO v1.1 model and life cycle results per $1 (2013 USD) demand for all goods and services in the model in the producer's price (see BEA 2015). The methodology underlying USEEIO is described in Yang, Ingwersen et al., 2017, with updates for v1.1 described in documentation supporting other USEEIO v1.1 datasets. This dataset is in the form of standard matrices. USEEIOv1.1 uses original names for goods and services, to distinguish them from the sector names provided by BEA which reflect industry names and not commodity names, but the BEA codes are maintained. The main model matrices are in green, A, B, and C; the result matrices are in gold, D, L, LCI, and U. Aggregate data quality scores are presented for B, D and U matrices in peach. Data quality scores use the US EPA data quality asssessment system, see US EPA 2016. Aggregated scores are calculated using a flow-weighted average approach as described in Edelen and Ingwersen 2017. References BEA (2015). Detailed Make and Use Tables in Producer Prices, 2007, Before Redefinitions. Bureau of Economic Analysis. https://www.bea.gov/iTable/index_industry_io.cfm Edelen, A. and W. Ingwersen (2017). "The creation, management and use of data quality information for life cycle assessment." International Journal of Life Cycle Assessment. http://dx.doi.org/10.1007/s11367-017-1348-1 US EPA 2016. Guidance on Data Quality Assessment for Life Cycle Inventory Data. US Environmental Protection Agency, National Risk Management Research Laboratory, Life Cycle Assessment Research Center, Washington, DC. https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=321834 Yang, Y., Ingwersen, W. W., Hawkins, T. R., Srocka, M., & Meyer, D. E. (2017). USEEIO: A new and transparent United States environmentally-extended input-output model. Journal of Cleaner Production, 158, 308-318. http://dx.doi.org/10.1016/j.jclepro.2017.04.150. This dataset is associated with the following publication: Yang, Y., W. Ingwersen, T. Hawkins, and D. Meyer. USEEIO: A new and transparent United States environmentally extended input-output model. JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, USA, 158: 308-318, (2017).

These files contain the environmental data as particular emissions or resources associated with a BEA sectors that are used in the USEEIO model. They are organized by the emission or resources type, as described in the manuscript. The main files (without SI) show the final "satellite tables" in the 'Exchanges' sheet which have emissions or resource use per USD for 2013. The other sheets in these files provide meta data for the create of the tables, including general information, sources, etc. The 'export' sheet is used for saving the satellite table for csv export. The data dictionary describes the fields in this sheet. The supporting files provide all the details data transformation and organization for the development of the satellite tables.

This dataset is associated with the following publication: Yang, Y., W. Ingwersen, T. Hawkins, and D. Meyer. USEEIO: A new and transparent United States environmentally extended input-output model. JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, USA, 158: 308-318, (2017).

The dataset provides a set of Import Emission Factors (IEF) for USEEIO models developed using the CEDA model (Watershed Technology, Inc.) along with example USEEIO models built with them for year 2022 and supporting information . The dataset accompanies the addendum "Import Greenhouse Gas Emission Factors Derived from CEDA 2024" to EPA report "Estimating embodied environmental flows in international imports for the USEEIO Model" (https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=362470). This dataset is analogous to the "USEEIO Models with Import Emission Factors for Greenhouse Gases for 2017-2022 from EXIOBASE coupled model" dataset (https://doi.org/10.23719/1531676), but its uses CEDA instead of EXIOBASE as the coupled model. See the aforementioned addendum for more information. The factors are provided at the BEA summary and detail levels of sector resolution as reflected in file names. The sector codes for the import factor use the BEA 2017 NAICS based schema used in input-output tables which is the schema used by the associated USEEIO models. US_summary_import_factors_ceda_2022_17sch.csv is the summary level IEFs file and USEEIOv2.4-oriole-22.xlsx is the USEEIO model created with them. US_detail_import_factors_ceda_2022_17sch.csv is the detail level IEFs file and USEEIOv2.4-catbird-22.xlsx is the USEEIO model created with them. Various supporting links and files are provided. Concordance files are provided here that are used to map CEDA commodities and countries to those used in USEEIO (and also available online) to create the import emission factors. The models are named according to an updated USEEIO naming scheme. See the supporting code on the USEEIO github site (link in references) for more details. Model specification files for the detail USEEIO model (USEEIOv2.4-catbird-22.yml) and for the summary model (USEEIOv2.4-oriole-22.yml) that are used to create the USEEIO models in useeior are provided. See the model specification and model data formats on the useeior github site (link in references) for more details. This dataset is associated with the following publication: Ingwersen, W.W., J. Namovich, B. Young, and J. Vendries. Estimating embodied environmental flows in international imports for the USEEIO Model. U.S. Environmental Protection Agency, Washington, DC, USA, 2024.

These data are fully described in the associated EPA report. The Import Shares (ISs) are provided in a single Excel file covering all years. The Import Emission Factors (IEFs) are provided in csv files by year and by level of commodity classification, with names starting with "US_detail_import_factors" for detail-level commodity classification and "US_summary_import_factors" for summary-level commodity classification. USEEIO models (v2.3) with these IEFs were built using useeior v1.6.0 and written out to Excel files. Import emission factors are incorporated into these USEEIO models where they are further transformed into producer price and found in the M_n sheet of the model Excel files. Table 6 in the report shows year and level of commodity classification for each model along with which IEF file is used. The files with model names ending in *.yml are the model specification files for each of the published models. Correspondence files are provided that are used to (1) map EXIOBASE commodities to USEEIO commodities, (2) map BEA service category data to USEEIO sectors, and (3) map EXIOBASE Country/Region to BEA Service, Census Goods and TiVA trade regions. Data dictionaries for file types: USEEIO models (Excel) - https://github.com/USEPA/useeior/blob/v1.6.0/format_specs/Model.md Model spec files https://github.com/USEPA/useeior/blob/v1.6.0/format_specs/ModelSpecification.md Import shares - Data dictionary found in file Import Emission Factors (csv) - https://github.com/USEPA/USEEIO/blob/6cdd903fe5be58941c833f4cf585313f7e40d2a7/import_factors_exio/README.md Correspondence files - https://github.com/USEPA/USEEIO/blob/fe48b5bc79ca994624838ce3b8171b9c65b691e2/import_factors_exio/concordances/README.md

United States Environmentally-Extended Input-Output (USEEIO) Datasets

This Zenodo record provides permalinks for the Excel files containing the model data.
Model data is also available at:

• Model Overview
• Model Specifications (Matrices, etc.)
• List of Current Versions

These are Excel outputs of each of the USEEIO State Models v1.0 for year 2020. They were developed using useeior v1.4.0 (https://github.com/USEPA/useeior/releases/tag/v1.4.0). See the referenced USEPA report for a full description. See the Data Dictionary for interpretation of the sheets in each Excel file.

This dataset links the commodity sectors of EXIOBASE3.7 (i.e., pxp version) to additional environmental extensions (e.g., formaldehyde, toluene, acrolein, etc.) based on USEEIOv1.1 extensions. Only environmental extensions that are not present in EXIOBASE were added. This satellite matrix can thus simply be added to the satellite matrix of EXIOBASE without fear of double counting emissions. 1,766 emissions were added.

The dataset also includes a characterization matrix for these additional flows, characterized (for 36 impact categories) using the IMPACT World+ life cycle impact assessment method (Bulle, 2019).

The methodology behind the determination of these additional environmental extensions is described in (Agez et al., 2021), and is more extensively described in (Muller, 2019), albeit in french. In short, we reapply the emission factors from USEEIO (so specific to the US) to all countries of EXIOBASE, which has obvious limitations, but can constitute a good-enough estimation in some cases. (Agez et al., 2021) and (Muller, 2019) for example, show that these additional environmental extensions have a significant effect on some impact categories, namely, ecotoxicity and ozone layer depletion. In other words, normal environmental extensions of EXIOBASE are not equipped to study these impact categories. Other categories are marginally impacted (from 0.5 to 3% increase of the impact when looking at the whole economy's impact).

Version of IW+ used: 10.5281/zenodo.3521034

This file contains all the elementary flows (defined in ISO 14044) used in the USEEIO model. The elementary flows come from a draft master list used by USEPA modified from the openLCA 1.4 software master list with original flows added. The characterization factors come from the openLCA 1.5.4 method pack or directly from TRACI 2.1 for the TRACI categories, or for the Non-TRACI categories, are originals used simply to sum up all types of resource use of a given type.

This dataset is associated with the following publication: Yang, Y., W. Ingwersen, T. Hawkins, and D. Meyer. USEEIO: A new and transparent United States environmentally extended input-output model. JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, USA, 158: 308-318, (2017).

description: This is a version of the full USEEIO v1.1 model in the openLCA schema serialized as JSON-LD that can be imported into openLCA software (www.openlca.org) v1.5 and more recent versions. This dataset is associated with the following publication: Yang, Y., W. Ingwersen, T. Hawkins, and D. Meyer. USEEIO: A new and transparent United States environmentally extended input-output model. JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, USA, 158: 308-318, (2017).; abstract: This is a version of the full USEEIO v1.1 model in the openLCA schema serialized as JSON-LD that can be imported into openLCA software (www.openlca.org) v1.5 and more recent versions. This dataset is associated with the following publication: Yang, Y., W. Ingwersen, T. Hawkins, and D. Meyer. USEEIO: A new and transparent United States environmentally extended input-output model. JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, USA, 158: 308-318, (2017).

The dataset provides a set of Import Emission Factors (IEF) for USEEIO models developed using the GLORIA v059a model. The dataset accompanies Addendum 2 "Import Greenhouse Gas Emission and Material Factors Derived from GLORIA" to EPA report "Estimating embodied environmental flows in international imports for the USEEIO Model" (https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=362470). The import factors (IFs) are provided for 15 material categories and 18 GHG categories at the BEA summary and detail levels of sector resolution as reflected in file names. They represents an average for U.S imports that is derived as a weighted average of the import factors from all world regions/countries, weighted by quantity of imports. The sector codes for the import factor use the BEA 2017 NAICS based schema used in input-output tables which is the schema used by the associated USEEIO models. For example, US_summary_import_factors_gloria_2022_17sch.csv is a summary level IFs file. US_detail_import_factors_gloria_2022_17sch.csv is the detail level IEFs file. Concordance files are provided here that are used to map GLORIA commodities and countries to those used in USEEIO. The models are named according to an updated USEEIO naming scheme. See the supporting code on the USEEIO github site (link in references) for more details. This dataset is associated with the following publication: Ingwersen, W.W., J. Namovich, B. Young, and J. Vendries. Estimating embodied environmental flows in international imports for the USEEIO Model. U.S. Environmental Protection Agency, Washington, DC, USA, 2024.

This dataset supersedes the original 'USEEIO satellite files' dataset (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B49F4F982-C5DB-4A62-878A-DE341A2099B6%7D). See the supporting documentation for a full description of updates to the satellite tables in this release. This dataset is associated with the following publication: Yang, Y., W. Ingwersen, T. Hawkins, and D. Meyer. USEEIO: A new and transparent United States environmentally extended input-output model. JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, USA, 158: 308-318, (2017).

The dataset provides a set of Import Emission Factors (IEF) for USEEIO models developed using the GLORIA v059a model. The dataset accompanies Addendum 2 "Import Greenhouse Gas Emission and Material Factors Derived from GLORIA" to EPA report "Estimating embodied environmental flows in international imports for the USEEIO Model" (https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=362470). The import factors (IFs) are provided for 15 material categories and 18 GHG categories at the BEA summary and detail levels of sector resolution as reflected in file names. They represents an average for U.S imports that is derived as a weighted average of the import factors from all world regions/countries, weighted by quantity of imports. The sector codes for the import factor use the BEA 2017 NAICS based schema used in input-output tables which is the schema used by the associated USEEIO models. For example, US_summary_import_factors_gloria_2022_17sch.csv is a summary level IFs file. US_detail_import_factors_gloria_2022_17sch.csv is the detail level IEFs file. Concordance files are provided here that are used to map GLORIA commodities and countries to those used in USEEIO. The models are named according to an updated USEEIO naming scheme. See the supporting code on the USEEIO github site (link in references) for more details. This dataset is associated with the following publication: Ingwersen, W.W., J. Namovich, B. Young, and J. Vendries. Estimating embodied environmental flows in international imports for the USEEIO Model. U.S. Environmental Protection Agency, Washington, DC, USA, 2024.

The National Greenhouse Gas Industry Attribution Model is dynamic model that attributes US Greenhouse Gas (GHG) emissions as reported in the US GHG Inventory [1] to industry sectors as classified by the Bureau of Economic Analysis in the 2012 detail benchmark input-output tables [2]. The model is valid for years 2010-2016 and uses the EPA GHG Inventory published in 2018. Data quality score associated with the EPA DQ system [3] for data reliability and technological correlation are assigned as described in Yang et al. 2017, Supporting Information 1 [4]. This model builds upon the USEEIO v1.1 GHG satellite table [5] and the Yale Center for Industrial Ecology USEEIO extensions v2.1 [6]. See the Documentation sheet in the file for a summary table describing the industry attribution approach to each USEPA GHGI emission item. References 1. USEPA, 2020. Inventory of U.S. Greenhouse Gas Emissions and Sinks: 1990-2018. https://www.epa.gov/ghgemissions/inventory-us-greenhouse-gas-emissions-and-sinks-1990-2016 2. BEA, 2019a. Input-Output Accounts Data. https://www.bea.gov/industry/input-output-accounts-data 3. USEPA. 2016. Guidance on Data Quality Assessment for Life Cycle Inventory Data (Report). US Environmental Protection Agency, National Risk Management Research Laboratory, Life Cycle Assessment Research Center. https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=321834 4. Yang, Y., Ingwersen, W.W., Hawkins, T.R., Srocka, M., Meyer, D.E., 2017. USEEIO: A New and Transparent United States Environmentally-Extended Input-Output Model. Journal of Cleaner Production 158, 308–318. https://doi.org/10.1016/j.jclepro.2017.04.150 5. Ingwersen, W.W., Yang, Y., Gilkey, K., Li, M., 2017. USEEIOv1.1 - Satellite Tables. https://doi.org/10.23719/1365565 6. Berrill, P., Miller, T.R., 2019. CIE USEEIO extensions v2.1. https://doi.org/10.5281/zenodo.3386529. This dataset is associated with the following publication: Ingwersen, W., and M. Li. Supply Chain Greenhouse Gas Emission Factors for US Industries and Commodities. U.S. Environmental Protection Agency, Washington, DC, USA, 2020.

H_r and H_f matrices for USEEIO v1.2 and v2.0.1 models

This is a USEEIO State Model created for Colorado in 2020 that has a limited number of environmental and economic extensions for jobs, greenhouse gas emissions, and value added. The model was created in useeior using StateIO model components. A script to create the model can be found at https://github.com/USEPA/USEEIO-State/blob/4a89319002dd25810ac7fca26052e7e77017417b/Demo-Multipliers-CO.md. The useeior model specification file is at https://github.com/USEPA/USEEIO-State/blob/4a89319002dd25810ac7fca26052e7e77017417b/model_specs/COEEIOv1.0-s-JGV-20.yml. This model was created to demonstrate the use of StateIO models for the 2024 Department of Interior Economics training workshop.

This dataset contains 2017 national Commercial RCRA-defined Hazardous Waste by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was created in FLOWSA, a publicly available python package that generates standardized environmental flows by industry. This dataset is associated with the following publication: Ingwersen, W.W., M. Li, B. Young, J. Vendries, and C. Birney. USEEIO v2.0, The US Environmentally-Extended InputOutput Model v2.0. Scientific Data. Springer Nature Group, New York, NY, 194, (2022).

This dataset contains national 2017 point-source releases to water by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was created in FLOWSA, a publicly available python package that generates standardized environmental flows by industry. This dataset is associated with the following publication: Ingwersen, W.W., M. Li, B. Young, J. Vendries, and C. Birney. USEEIO v2.0, The US Environmentally-Extended InputOutput Model v2.0. Scientific Data. Springer Nature Group, New York, NY, 194, (2022).