(i) The CPM LCA Database is developed within the Swedish Life Cycle Center, and is a result of the continuous work to establish transparent and quality reviewed LCA data. The Swedish Life Cycle Center (founded in 1996 and formerly called CPM) is a center of excellence for the advance of life cycle thinking in industry and other parts of society through research, implementation, communication and exchange of experience on life cycle management. The mission is to improve the environmental performance of products and services, as a natural part of sustainable development. The Center has been instrumental for the development and adoption the life cycle perspective in Swedish companies and has made important contributions to international standardization in the life cycle field. More information about the Center, see www.lifecyclecenter.se. The Swedish Life Cycle Center owns the CPM LCA Database, which is today maintained by Environmental Systems Analysis at the Department of Energy and Environment at Chalmers University of Technology. (ii) All LCI datasets can be viewed in in three formats: the SPINE format, a format compatible with the ISO/TS 14048 LCA data documentation format criteria, and in the ILCD format. Three impact assessment models: EPS, EDIP, and ECO-Indicator, can be viewed in the IA98 format. Also a simple IA calculator is provided where the environmental impact of each LCI dataset can be calculated based on the three different IA methods. (iii) unknown (iv) unknown

The Total Product Life Cycle (TPLC) database integrates premarket and postmarket data about medical devices. It includes information pulled from CDRH databases including Premarket Approvals (PMA), Premarket Notifications (510[k]), Adverse Events, and Recalls. You can search the TPLC database by device name or procode to receive a full report about a particular product line.

The global Life Cycle Assessment (LCA) Database market size is projected to reach USD 247.4 million by 2033, exhibiting a CAGR of 12.1% during the forecast period. The increasing demand for sustainable products and services, along with stringent environmental regulations, is driving the growth of the market. Additionally, the growing adoption of LCA in various industries, such as manufacturing, construction, and transportation, is contributing to the market's expansion. The on-premise segment held a dominant market share in 2025, owing to the high cost of cloud-based solutions and the need for data security and control among enterprises. Key trends influencing the market include the rise of Industry 4.0 technologies, which enable real-time data collection and analysis, and the increasing adoption of cloud-based LCA platforms, which offer flexibility and scalability. However, the high cost of LCA software and the lack of trained professionals may pose challenges to the market's growth. Key players in the market include GHG Protocol, Ecochain, Sphera, openLCA Nexus, AssessCCUS, Ecoinvent, openLCA, Swedish Life Cycle Center, Psilca, Fraunhofer IBP, Metsims - Sustainability Consulting, and Carbon Minds. North America and Europe are expected to remain the dominant regional markets, driven by the presence of a large number of environmental regulations and the growing demand for sustainable products and services in these regions.

Life Cycle Assessment (LCA) is a compilation and evaluation of the inputs, outputs and potential environmental impacts of a product system throughout its life cycle. LCA describes the life cycle as consecutive and interlinked stages of a product system extending from the acquisition of raw materials through materials processing, technology manufacturing/construction, technology use/maintenance/upgrade, and the technology retirement. LCA also provides a framework for understanding economic and social impacts. In an LCA, data are collected at the unit process level, intended to represent a single industrial activity, in this case the food and agriculture industry. Each single industrial activity (a) produces product and sometimes co-products; (b) uses resources from the environment; (c) uses resources from other unit processes in the technosphere; and (d) generates emissions to the environment. In an LCA, the inventory analysis combines unit process data for the life cycle and the impact assessment estimates the impact associated with activities and flows to and from the environment for the inventory. Datasets have been developed for the LCA Commons in response to a national need for data representing US operations. The LCA Commons database is an open access database developed by the United States Department of Agriculture (USDA) National Agricultural Library (NAL) for use in LCAs to support policy assessment, technology implementation decision-making, and publicly disclosed comparative product or technology assertions. K7612-17: Photo by Scott Bauer; http://www.ars.usda.gov/is/graphics/photos/sep97/k7612-17.htm Resources in this dataset:Resource Title: LCA Commons website. File Name: Web Page, url: https://www.lcacommons.gov/

This is a high-resolution dataset of building design characteristics, life cycle inventories, and environmental impact assessment results for 292 building projects in the United States and Canada. The dataset contains harmonized and non-aggregated LCA model results across life cycle stages, building elements, and building materials to enable detailed analysis, comparisons, and data reuse. It includes over 90 building design and LCA features to assess distributions and trends of material use and environmental impacts. Uniquely, the data were crowd-sourced from designers conducting LCAs of real-world building projects.The dataset is composed of two files:buildings_metadata.xlsx includes all project metadata and LCA parameters for every project associated with a unique index number to cross-reference across other files. This also includes various calculated summaries of LCI and LCIA totals and intensities per project.full_lca_results.xlsx includes LCI and LCIA results per material and life cycle stage of each building project.data_glossary.xlsx identifies and defines each feature of the dataset including its name, data structure, syntax, units, descriptions, and more.material_definitions.xlsx a full list of material groups, types, and descriptions of what they include.This dataset is documented and described in a Data Descriptor, currently under review with a preprint available:Benke et al. A Harmonized Dataset of High-resolution Whole Building Life Cycle Assessment Results in North America, 07 March 2025, PREPRINT (Version 1) available at Research Square https://doi.org/10.21203/rs.3.rs-6108016/v1When referencing this work, please cite both the Data Descriptor and the most recent dataset version on this Fighshare DOI.The dataset also appears on the Github repository: https://github.com/Life-Cycle-Lab/wblca-benchmark-v2-data. Access to the code used to prepare this dataset is available on an additional Github repository: https://github.com/Life-Cycle-Lab/wblca-benchmark-v2-data-preparation.Release Notes:2025-02-24 - First public release2025-05-05 - Title revised and two supplementary dataset files added: data_glossary.xlsx and material_definitions.xlsx.

These inventory datasets are essential for calculating the carbon footprint of an individual’s consumption in Quebec.

Led by the CIRAIG, in collaboration with PolyCarbone and ESG-UQAM, this project aims to develop an inventory database of the life cycle of consumption in Quebec. These inventory datasets are essential for calculating the carbon footprint of an individual’s consumption in Quebec. The inventory is developed with a life cycle approach. Ultimately, it allows for evaluating carbon footprints at every step of the consumption life cycle (extraction of primary sources, transformation, transport, use of goods and services, end of life). The inventory is developed in a modular fashion for the different areas of individual consumption as Food; Transport; Housing; Clothing; Travel; Communications; Entertainment and Culture; Financial and Administrative Management; Health, Hygiene, and Beauty. These areas are developed and detailed as a priority, as they contribute most to an individual’s carbon footprint in Quebec. Other non-priority areas are roughly modelled in order to provide a complete (but more uncertain) portrait of individual consumption. The project is underway and the deliverables will be made available online as things progress. It is not, however, an objective of the project to create a carbon footprint calculation tool at the moment.

https://ciraig.org/index.php/project/life-cycle-inventory-database-for-consumption-in-quebec/

LCI and LCIA for water and wastewater treatment plants. This dataset is associated with the following publications: Xue, X., S. Cashman, A. Gaglione, J. Mosley, L. Weiss, C. Ma, J. Cashdollar, and J. Garland. Holistic Analysis of Urban Water Systems in the Greater Cincinnati Region: (1) Life Cycle Assessment and Cost Implications. Water Research X. Elsevier B.V., Amsterdam, NETHERLANDS, 2: 100015, (2019). Cashman, S., A. Gaglione, J. Mosley, L. Weiss, T. Hawkins, N. Ashbolt, J. Cashdollar , X. Xue, C. Ma , and S. Arden. Environmental and cost life cycle assessment of disinfection options for municipal drinking water treatment. U.S. Environmental Protection Agency, Washington, DC, USA, 2014. Cashman, S., A. Gaglione, J. Mosley, L. Weiss, N. Ashbolt, T. Hawkins, J. Cashdollar , X. Xue, C. Ma , and S. Arden. Environmental and cost life cycle assessment of disinfection options for municipal wastewater treatment. U.S. Environmental Protection Agency, Washington, DC, USA, 2014.

An excel template with data elements and conventions corresponding to the openLCA unit process data model. Includes LCA Commons data and metadata guidelines and definitions Resources in this dataset:Resource Title: READ ME - data dictionary. File Name: lcaCommonsSubmissionGuidelines_FINAL_2014-09-22.pdfResource Title: US Federal LCA Commons Life Cycle Inventory Unit Process Template. File Name: FedLCA_LCI_template_blank EK 7-30-2015.xlsxResource Description: Instructions: This template should be used for life cycle inventory (LCI) unit process development and is associated with an openLCA plugin to import these data into an openLCA database. See www.openLCA.org to download the latest release of openLCA for free, and to access available plugins.

The demand for life cycle assessments (LCA) is growing rapidly, which leads to an increasing demand of life cycle inventory (LCI) data. While the LCA community has made significant progress in developing LCI databases for diverse applications, challenges still need to be addressed. This perspective summarizes the current data gaps, transparency, and uncertainty aspects of existing LCI databases. Additionally, we survey and discuss novel techniques for LCI data generation, dissemination, and validation. We propose key future directions for LCI development efforts to address these challenges, including leveraging scientific and technical advances such as the Internet of Things (IoT), machine learning, and blockchain/cloud platforms. Adopting these advanced technologies can significantly improve the quality and accessibility of LCI data, thereby facilitating more accurate and reliable LCA studies.

In the SHARP-ID, environmental impact assessment was based on attributional life cycle analyses using environmental indicators greenhouse gas emission (GHGE) and land use (LU). Life cycle inventory data of 182 primary products were combined with data on production, trade and transport, and adjusted for consumption amount using conversions factors for production, edible portion, cooking losses and gains, and for food losses and waste in order to derive estimates of GHGE and LU for the foods as eaten. Towards a public database for environmental sustainability SHARP-ID Towards a public database for environmental sustainability

As described in the associated manuscript, two tests were run to evaluate interoperability in life cycle assessment (LCA) elementary flow (EF) lists. The first looks at various LCA sources and analyzed how interoperable the original source EF lists are by comparing unique name-to-name matches across sources. The second analysis compares sources that are mapped to the Federal Elementary Flow List (FEDEFL) as a common source list and measures the improvement in interoperability in the increase of flows that are mapped between sources. These analysis were performed in this dataset. This dataset is associated with the following publication: Edelen, A.N., S. Cashman, B. Young, and W.W. Ingwersen. Life Cycle Data Interoperability Improvements through Implementation of the Federal LCA Commons Elementary Flow List. Applied Sciences. MDPI, Basel, SWITZERLAND, 12(19): 9687, (2022).

Source code of ELDAM (ELsa DAta Manager), a software developed in Python to manage Life Cycle Inventory (LCI). The purpose of ELDAM is to allow better LCI documentation, archiving and exchange by providing a user-friendly, spreadsheet based interface and a complete review procedure. A software with a graphical user interface allows easy conversion from the spreadsheet based format to the SimaPro Life Cycle Assessment software.

Supplementary Data 4. Life cycle inventory selection for Food Commodities Intake Database Commodities. This table is provided as an excel file and shows which proxy group or ecoinvent life cycle inventory was used to model the impacts of each of the commodities in the Food Commodities Intake Database (FCID). For example, the commodity almond was modeled using almond production in the US from ecoinvent whereas the commodity acerola was modeled with the proxy group “tree fruit”. This table identifies which commodity impacts were modeled using proxies and the conversion factors applied if the commodity was served raw or cooked.

Data Center Life Cycle Services Market Outlook

The global data center life cycle services market size was valued at approximately USD 5.8 billion in 2023 and is projected to reach an impressive USD 11.2 billion by 2032, reflecting a robust compound annual growth rate (CAGR) of 7.4% during the forecast period. This growth is predominantly driven by the increasing reliance on data centers in various industries, necessitating comprehensive life cycle services to ensure optimal performance, cost-effectiveness, and sustainability. The demand for cloud services, advancements in IT infrastructure, and the rapid digital transformation of businesses globally are pivotal elements propelling this market forward. As organizations strive for enhanced operational efficiency, the adoption of data center life cycle services becomes a strategic imperative, ensuring that data centers are planned, built, managed, and eventually decommissioned effectively.

One of the significant growth factors for the data center life cycle services market is the escalating volume of data generation across industries. With the proliferation of IoT devices, big data analytics, and the increasing use of artificial intelligence and machine learning, data centers are becoming central to business operations. This surge in data necessitates advanced data center infrastructure, which in turn fuels demand for life cycle services. These services provide a holistic approach to managing data centers from inception to retirement, ensuring that they remain efficient, secure, and aligned with organizational goals. Additionally, the growing emphasis on sustainability and energy efficiency in data centers is prompting businesses to adopt life cycle services to reduce carbon footprints and operational costs.

Another critical growth driver is the global shift towards cloud computing, which has transformed the data center landscape. As more organizations migrate to cloud platforms, there is a heightened need for effective data center life cycle services to manage this transition. These services are crucial in facilitating seamless integration, optimizing existing infrastructure, and ensuring data security and compliance during and after the migration process. Furthermore, the trend of edge computing, which involves processing data closer to its source, is creating new opportunities for data center life cycle services. As edge data centers proliferate, they require specialized services to manage their unique operational challenges and integration with larger cloud ecosystems.

Technological advancements and innovations in data center infrastructure also contribute to the growth of the life cycle services market. The advent of technologies such as software-defined data centers (SDDCs), hyper-converged infrastructure, and advanced cooling solutions is reshaping the way data centers are designed and managed. These technologies necessitate specialized knowledge and expertise, driving demand for comprehensive life cycle services that can support complex infrastructure and ensure seamless operation. Moreover, the need for data center modernization, driven by aging infrastructure and evolving business needs, is compelling organizations to seek life cycle services that can facilitate upgrades and modernization efforts without disrupting operations.

Managed Data Center Service is becoming increasingly important as organizations strive to optimize their IT operations while focusing on core business activities. By outsourcing data center management to specialized service providers, companies can benefit from expert handling of their infrastructure, ensuring high availability, security, and performance. These services encompass a wide range of activities, including monitoring, maintenance, and support, allowing businesses to leverage advanced technologies without the need for significant in-house resources. As the complexity of data center environments grows, Managed Data Center Service offers a strategic solution to manage these challenges efficiently, enabling organizations to scale their operations seamlessly and adapt to evolving technological demands.

Regionally, North America holds a significant share of the data center life cycle services market, driven by the high concentration of data centers and cloud service providers in the region. The United States, in particular, is a critical player, with major investments in data center infrastructure and a robust technology ecosystem. Europe follows closely, with countries like Germany, the UK, and the Netherlands leading in data cente

This carbon footprint study for fluid milk was commissioned in order to identify where the industry can innovate to reduce greenhouse gas (GHG) emissions across the supply chain. To proactively meet the needs of the marketplace, the U.S. dairy industry is working together to further improve environmental performance in a way that makes good business sense for the entire supply chain. In January 2009, the Innovation Center for U.S. Dairy -- which represents approximately 80% of the dairy industry -- endorsed a voluntary goal to reduce GHG emissions of fluid milk by 25% by 2020. Based on a preliminary assessment of GHG emissions, a portfolio of ten mitigation projects across the supply chain were launched in 2009. At the same time, the industry commissioned a greenhouse gas life cycle assessment, or carbon footprint study, for fluid milk in order to identify where the industry can innovate to reduce GHG emissions across the supply chain to achieve the greatest gains. The Innovation Center for U.S. Dairy selected the Applied Sustainability Center at the University of Arkansas to conduct the first U.S. national-level fluid milk carbon footprint study, and Michigan Technological University was chosen to assist. The study provides a benchmark to measure the industry’s progress toward achieving its voluntary reduction goal. The data will serve as the foundation for the creation of best practices and decision-support tools for producers, processors and others throughout the dairy supply chain. The data are being released through the USDA -National Agricultural Library's Life Cycle Assessment (LCA) Digital Commons to provide transparency in the project and allow LCA practitioners working in the dairy industry access to the data to use and build upon. This study was limited to GHG emissions in order to estimate a carbon footprint for U.S. dairy operations (fluid milk). The study follows International Organization for Standardization (ISO) protocols to provide credibility, transparency and objectivity of the methods, data, and results. Part of the ISO compliance is an external review by a panel of LCA and agricultural experts. Their full review is included as an appendix to the main report, which is included in the link below. Fully ISO-compliant life cycle assessments are required to include additional environmental impact areas such as water quality, air quality, and/or human health, for example; interpretation of the results presented in this document, and more importantly, actions taken in response to the reported results should be used with caution because GHG emissions represent only a single dimension of the environmental impacts of fluid milk production. The Innovation Center is commissioning further studies to expand this work to include other environmental impact categories. Similarly, the unit processes in the database released here were developed specifically to measure the GHG emissions of fluid milk produced in the United States. Practitioners should use caution if using the upstream processes, developed here, outside the context of U.S. fluid milk production. The upstream processes developed in this project were developed for a specific purpose and were developed using industry specific information. The data may not be applicable outside of the context of this project. The National Agricultural Library and the University of Arkansas are currently collaborating to release the new product flows that stand alone developed through this project individually in the LCA Digital Commons. The complete project data are available at the links below. Resources in this dataset:Resource Title: Dairy Innovation - OLCA. File Name: Dairy_Innovation_OLCA_1_3.zipResource Description: Data files that contain processes, systems, and style sheets.

This file contains the life cycle inventories (LCIs) developed for an associated journal article. Potential users of the data are referred to the journal article for a full description of the modeling methodology. LCIs were developed for cumene and sodium hydroxide manufacturing using data mining with metadata-based data preprocessing. The inventory data were collected from US EPA's 2012 Chemical Data Reporting database, 2011 National Emissions Inventory, 2011 Toxics Release Inventory, 2011 Electronic Greenhouse Gas Reporting Tool, 2011 Discharge Monitoring Report, and the 2011 Biennial Report generated from the RCRAinfo hazardous waste tracking system. The U.S. average cumene gate-to-gate inventories are provided without (baseline) and with process allocation applied using metadata-based filtering. In 2011, there were 8 facilities reporting public production volumes of cumene in the U.S., totaling to 2,609,309,687 kilograms of cumene produced that year. The U.S. average sodium hydroxide gate-to-gate inventories are also provided without (baseline) and with process allocation applied using metadata-based filtering. In 2011, there were 24 facilities reporting public production volumes of sodium hydroxide in the U.S., totaling to 3,878,021,614 kilograms of sodium hydroxide produced that year. Process allocation was only conducted for the top 12 facilities producing sodium hydroxide, which represents 97% of the public production of sodium hydroxide. The data have not been compiled in the formal Federal Commons LCI Template to avoid users interpreting the template to mean the data have been fully reviewed according to LCA standards and can be directly applied to all types of assessments and decision needs without additional review by industry and potential stakeholders. This dataset is associated with the following publication: Meyer, D.E., S. Cashman, and A. Gaglione. Improving the reliability of chemical manufacturing life cycle inventory constructed using secondary data. JOURNAL OF INDUSTRIAL ECOLOGY. Berkeley Electronic Press, Berkeley, CA, USA, 25(1): 20-35, (2021).

Additional data for paper "Structuring the End of the Data Life Cycle".

A Life Cycle Assessment (LCA) facilitates the systematic quantitative assessment of products, both goods and services, in terms of environmental, human health, and resource consumption considerations. The full life cycle of a product is taken into account– this includes the supply of raw materials, processing, transport, retail, use, as well as end-of-life waste management.

A quantitative LCA-study requires Life Cycle Inventory (LCI) data on technical processes included in the system under study. Mostly such data are collected on a case-by-case basis with the help of the companies involved.

In LCI databases process data are often organized around a unit process. A unit process describes the produced goods (economic output), consumed goods (economic input) , emitted substances (environmental output) and consumed resources (environmental input). A produced economic output is economic input of the next process in the chain. In this way unit processes are linked to a cradle-to-grave process chain relevant for a specific product.

The GaBi database is a commercial database which provides over 10,000 Life Cycle Inventory results for cradle-to-gate product chains. Data are based on primary data collection from global companies, associations and public bodies. These datasets have been developed from an underlying database of about 30,000 unit process data sets.

Website: http://www.gabi-software.com/international/databases/gabi-databases/

This document provides instructions for editing and submitting unit process or product system models to the USDA LCA Commons life cycle inventory (LCI) database. The LCA Commons LCI database uses the openLCA life cycle modeling tool's database schema. Therefore, this document describes how to import and edit data in openLCA and name and classify flows such that they properly import into and operate in the database. This document also describes metadata or documentation requirements for posting models to the LCA Commons. This document is an evolving standard for LCA Commons data. As USDA-NAL continues to gain experience in managing a general purpose LCI database and global conventions continue to evolve, so too will the LCA Commons Submission Guidelines. Resources in this dataset:Resource Title: LCA Commons Submission Guidelines_12/09/2015. File Name: lcaCommonsSubmissionGuidelines_Final_2015-12-09.pdf

In the Chinese Food Life Cycle Assessment Database (CFLCAD), Greenhouse Gas Emissions (GHGE) for 80 food items, Water Use (WU) for 93 food items and Land Use (LU) for 50 food items are collected through a literature review. The CFLCAD applies conversion factors for the edible portion of food, food loss ratio and processing, storage, packaging, transportation, and food preparation stages to estimate the environmental footprints of food from production to consumption. Similar food groups and recipes are used to match those food items without LCA value in the Chinese food composition table, resulting in a total of 17 food groups in the database. Date: 2022-01-11 Date Submitted: 2022-01-12