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.

This is data pertaining to the material flows of copper within the U.S., from 1970 to 2015. It contains complete life cycle data from extraction and manufacturing, through use and end of life. This data is used in 2 published papers by Miranda R. Gorman and David A. Dzombak, as well as the PhD thesis of Miranda R. Gorman.

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/

Life Cycle Analysis (LCA) is a comprehensive form of analysis that utilizes the principles of Life Cycle Assessment, Life Cycle Cost Analysis, and various other methods to evaluate the environmental, economic, and social attributes of energy systems ranging from the extraction of raw materials from the ground to the use of the energy carrier to perform work (commonly referred to as the “life cycle” of a product). Results are used to inform research at NETL and evaluate energy options from a National perspective.

Life Cycle Inventory Databases for Packaging Market Outlook

According to our latest research, the Life Cycle Inventory Databases for Packaging market size reached USD 1.12 billion in 2024, driven by the increasing demand for sustainable packaging solutions and robust regulatory frameworks worldwide. The market is expected to grow at a healthy CAGR of 8.4% during the forecast period, reaching a projected value of USD 2.27 billion by 2033. This growth is fueled by the rising adoption of environmental impact assessment tools by packaging manufacturers, regulatory agencies, and research institutions seeking to optimize packaging materials and processes for reduced ecological footprints.

The growth of the Life Cycle Inventory (LCI) Databases for Packaging market is primarily propelled by the escalating global focus on sustainability and environmental responsibility. Governments and regulatory bodies across major economies are enforcing stringent regulations regarding packaging waste management, recyclability, and carbon emissions. These regulations necessitate accurate, comprehensive, and standardized LCI data to evaluate the environmental impacts of packaging materials throughout their life cycles. As a result, packaging manufacturers and brand owners are increasingly relying on LCI databases to make informed decisions about material selection, design, and end-of-life management, thereby driving significant market expansion.

Another key driver for the market is the growing consumer awareness and demand for eco-friendly packaging. Modern consumers are more conscious of the environmental implications of packaging waste, prompting brands and retailers to adopt sustainable packaging practices. This shift has led to a surge in the use of LCI databases to assess and communicate the environmental performance of packaging solutions. Additionally, advancements in digital technologies, such as cloud-based platforms and data analytics, have improved the accessibility, accuracy, and usability of LCI databases, enabling a broader range of stakeholders to leverage these tools for lifecycle assessments and sustainability reporting.

The proliferation of Extended Producer Responsibility (EPR) programs and circular economy initiatives further accelerates the adoption of LCI databases in the packaging sector. EPR mandates require manufacturers to take responsibility for the entire lifecycle of their packaging, from design to post-consumer disposal. To comply with these mandates and optimize resource use, companies are increasingly integrating LCI data into their product development and supply chain processes. This trend is expected to intensify over the forecast period, as more countries implement EPR policies and circular economy roadmaps, thereby creating new growth avenues for LCI database providers.

From a regional perspective, Europe currently dominates the Life Cycle Inventory Databases for Packaging market, accounting for the largest share in 2024 due to its advanced regulatory landscape and widespread adoption of sustainable packaging practices. North America follows closely, supported by strong governmental initiatives and a mature packaging industry. The Asia Pacific region is poised for the fastest growth, driven by rapid industrialization, increasing environmental awareness, and evolving regulatory frameworks in countries such as China, Japan, and India. As the market matures, cross-regional collaborations and harmonization of LCI methodologies are expected to further enhance market growth and data interoperability.

Database Type Analysis

The Life Cycle Inventory Databases for Packaging market is segmented by database type into Public Databases, Commercial Databases, Industry-Specific Databases, and Others. Public databases, often supported by government agencies and international organizations, play a crucial role in democratizing access to environmental data. These databases are essential for small and medium enterprises (SMEs) and academic researchers that may lack the resources to invest in commercial solutions. Public databases offer standardized data sets, often peer-reviewed and regularly updated, making them a trusted resource for policymakers and sustainability advocates. Their open-access nature fosters transparency and collaboration across industries and regions, supporting the widespread adoption of lifecycle thinking in packaging design and policy development.

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Life cycle analysis (LCA) is an environmental assessment method that quantifies the environmental performance of a product system over its entire lifetime, from cradle to grave. Based on a set of relevant metrics, the method is aptly suited for comparing the environmental performance of competing products systems. This file contains LCA data and results for electric power production including geothermal power. The LCA for electric power has been broken down into two life cycle stages, namely plant and fuel cycles.

Relevant metrics include the energy ratio and greenhouse gas (GHG) ratios, where the former is the ratio of system input energy to total lifetime electrical energy out and the latter is the ratio of the sum of all incurred greenhouse gases (in CO2 equivalents) divided by the same energy output.

Specific information included herein are material to power (MPR) ratios for a range of power technologies for conventional thermoelectric, renewables (including three geothermal power technologies), and coproduced natural gas/geothermal power. For the geothermal power scenarios, the MPRs include the casing, cement, diesel, and water requirements for drilling wells and topside piping.

Also included herein are energy and GHG ratios for plant and fuel cycle stages for the range of considered electricity generating technologies.

Some of this information are MPR data extracted directly from the literature or from models (eg. ICARUS - a subset of ASPEN models) and others (energy and GHG ratios) are results calculated using GREET models and MPR data. MPR data for wells included herein were based on the Argonne well materials model and GETEM well count results.

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.

Explore the booming Life Cycle Assessment (LCA) database market, driven by sustainability mandates and environmental awareness. Discover market size, CAGR, key drivers, restraints, and regional growth.

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.

The size of the Life Cycle Assessment Database market was valued at USD XXX million in 2024 and is projected to reach USD XXX million by 2033, with an expected CAGR of XX% during the forecast period.

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

Led by the CIRAIG, in collaboration with 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/

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.

This dataset is a set of life cycle assessment (LCA) models for select construction materials that have been developed by the Applied Economics Office of the Engineering Laboratory. An LCA model consists of two components: an inventory and a dataset(s). An inventory compiles and quantifies environmentally relevant flows: products, materials (including waste and emissions), or energy as defined in ISO 14040. Datasets contain environmentally relevant information of the process producing or treating the related flow. Datasets are commonly referred to as "processes" or "process models" in LCA literature.The models published here are "bridged" (i.e., call on) to publicly available life cycle inventory (LCI) databases available on the Federal LCA Commons (USLCI and eLCI databases). These models are built in openLCA, a free, public LCA modeling software tool. Users can download the ZIP file and upload directly into openLCA to use the models. The models are examples and provide a template (i.e., starting point) for structuring an LCA model for the specific product. The inventory should not be considered representative for an entire industry.

Life Cycle Inventory Databases for Packaging Market Outlook

According to our latest research, the Global Life Cycle Inventory Databases for Packaging market size was valued at $1.2 billion in 2024 and is projected to reach $3.8 billion by 2033, expanding at a robust CAGR of 13.7% during the forecast period of 2025 to 2033. The primary driver fueling this impressive growth is the rising demand for sustainable packaging solutions, which is compelling manufacturers, brand owners, and regulatory bodies to rely on comprehensive life cycle inventory (LCI) databases to assess and minimize the environmental impact of packaging materials and processes. The increasing emphasis on circular economy principles and stringent environmental regulations worldwide further underscore the critical role that LCI databases play in enabling data-driven decision-making across the packaging value chain.

Regional Outlook

North America currently holds the largest share of the Life Cycle Inventory Databases for Packaging market, accounting for approximately 38% of the global revenue in 2024. This dominance is attributed to the region's mature packaging industry, widespread adoption of advanced digital technologies, and strong regulatory frameworks promoting sustainability and environmental responsibility. The United States, in particular, has been at the forefront, with major packaging manufacturers and brand owners investing heavily in LCI database integration to ensure compliance with evolving environmental standards and consumer expectations. Additionally, a robust ecosystem of research institutions and technology providers in North America has accelerated the development and deployment of sophisticated, user-friendly, and interoperable LCI databases, further entrenching the region's leadership position.

The Asia Pacific region is projected to be the fastest-growing market, with a forecasted CAGR exceeding 16.2% between 2025 and 2033. This rapid expansion is driven by the burgeoning manufacturing sector, increasing urbanization, and heightened awareness of environmental issues among governments and consumers alike. Countries such as China, India, and Japan are witnessing substantial investments in sustainable packaging initiatives, spurred by both regulatory mandates and the strategic priorities of multinational corporations operating in the region. The proliferation of local database providers, coupled with public-private partnerships, is fostering greater accessibility and adoption of LCI databases, thereby fueling market growth at an unprecedented pace.

Emerging economies in Latin America, the Middle East, and Africa are gradually embracing life cycle inventory databases for packaging, albeit at a slower rate compared to developed regions. In these markets, adoption is often hindered by limited digital infrastructure, insufficient regulatory enforcement, and a lack of standardized data protocols. However, localized demand is steadily growing as global brand owners expand their presence and as local governments introduce policies aimed at reducing packaging waste and promoting resource efficiency. Collaborative efforts between international organizations and local stakeholders are helping to overcome initial adoption barriers, paving the way for increased utilization of LCI databases in these regions over the coming decade.

Report Scope

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/

Purpose: The need to assess the sustainability attributes of the United States beef industry is underscored by its importance to food security locally and globally. A life cycle assessment (LCA) of the US beef value chain was conducted to develop baseline information on the environmental impacts of the industry including metrics of the cradle-to-farm gate (feed production, cow-calf, and feedlot operations) and post-farm gate (packing, case-ready, retail, restaurant, and consumer) segments. Methods: Cattle production (cradle-to-farm gate) data were obtained using the integrated farm system model (IFSM) supported with production data from the Roman L. Hruska US Meat Animal Research Center (USMARC). Primary data for the packing and case-ready phases were obtained from packers that jointly processed nearly 60% of US beef while retail and restaurant primary data represented 8 and 6%, respectively, of each sector. Consumer data were obtained from public databases and literature. The functional unit or consumer benefit (CB) was 1 kg of consumed, boneless, edible beef. The relative environmental impacts of processes along the full beef value chain were assessed using a third party validated BASF Corporation Eco-Efficiency Analysis methodology. Results and discussion: Value chain LCA results indicated that the feed and cattle production phases were the largest contributors to most environmental impact categories. Impact metrics included water emissions (7005 L diluted water eq/CB), cumulative energy demand (1110 MJ/CB), and land use (47.4 m2a eq/CB). Air emissions were acidification potential (726 g SO2 eq/CB), photochemical ozone creation potential (146.5 g C2H4 eq/CB), global warming potential (48.4 kg CO2 eq/CB), and ozone depletion potential (1686 μg CFC11 eq/CB). The remaining metrics calculated were abiotic depletion potential (10.3 mg Ag eq/CB), consumptive water use (2558 L eq/CB), and solid waste (369 g municipal waste eq/CB). Of the relative points adding up to 1 for each impact category, the feed phase contributed 0.93 to the human toxicity potential. Conclusions: This LCA is the first of its kind for beef and has been third party verified in accordance with ISO 14040:2006a and 14044:2006b and 14045:2012 standards. An expanded nationwide study of beef cattle production is now being performed with region-specific cattle production data aimed at identifying region-level benchmarks and opportunities for further improvement in US beef sustainability. Resources in this dataset:Resource Title: Electronic Supplementary Material ESM 1 - Tables S1 to S11 (docx). File Name: Web Page, url: https://static-content.springer.com/esm/art:10.1007/s11367-018-1464-6/MediaObjects/11367_2018_1464_MOESM1_ESM.docx Direct download, docx. Table S1: Feed phase input data (resource use and emissions) from USMARC and IFSM simulations used in the U.S. beef life cycle impact assessment and sources of their life-cycle inventories (LCI). Table S2: Cattle phase input data (resource use and emissions) from USMARC and IFSM simulations in the U.S. beef life cycle impact assessment and the sources of their respective life-cycle inventories (LCI). Table S3: Packing and case-ready phases input data (resource use and emissions) used in the U.S. beef life cycle impact assessment and the sources of their respective life-cycle inventories (LCI). Allocation factor of case-ready (i.e. % packaged at case ready) = 0.63. Table S4: Retail and consumer phases input data (resource use and emissions) used in U.S. beef life cycle impact assessment and their respective life-cycle inventory (LCI) sources. Allocation factor for retail and consumer (i.e. at-home consumption portion of total consumption sold through retail) = 0.47. Table S5: Restaurant phase input data (resource use and emissions) used in U.S. beef life cycle impact assessment and their respective life-cycle inventory (LCI) sources. Allocation factor (i.e. restaurant fraction of total beef consumption) = 0.53. Table S6: Essential raw materials considered in the U.S. beef life cycle impact assessment and respective weighting factors used for the determination of their Abiotic Depletion Potential (ADP). Table S7: Scoring system for toxic properties described by H-phrases for U.S. beef life cycle impact assessment (Landsiedel and Saling (2002) before our modification). Table S8: Land occupation and transformation weighting factors for U.S. beef life cycle impact assessment based on Ecosystem Damage Potentials (EDPs) from the Ecoinvent 2.2 life cycle inventory database (Frischknecht et al. 2005). Table S9: Air emissions and their respective weighting (equivalence) factors used in U.S. beef life cycle impact assessment. Table S10: Solid waste relative disposal costs used in U.S. beef life cycle impact assessment (Klein 2011). Table S11: Water emissions categories and their respective weighting factors based on regional regulatory limits used in the U.S. beef life cycle assessment.

Database that collects published lifespan data across multiple species. The entire database is available for download in various formats including XML, YAML and CSV.

Data Lifecycle Management Market Outlook

According to our latest research, the global Data Lifecycle Management (DLM) market size stood at USD 13.8 billion in 2024, reflecting robust growth driven by stringent regulatory requirements, expanding data volumes, and increasing digital transformation initiatives across industries. The market is projected to grow at a CAGR of 14.2% over the forecast period, reaching USD 40.3 billion by 2033. This significant growth is primarily fueled by the urgent need for organizations to efficiently manage the exponential rise in data, mitigate security risks, and comply with evolving data protection regulations worldwide.

A key growth factor in the Data Lifecycle Management market is the surge in data generation from diverse sources such as IoT devices, enterprise applications, and social media platforms. Organizations are grappling with the complexities of storing, managing, and securing vast volumes of structured and unstructured data throughout its lifecycle. The proliferation of cloud computing and big data analytics has further intensified the demand for advanced DLM solutions that streamline data governance, ensure regulatory compliance, and optimize storage costs. As businesses increasingly recognize data as a strategic asset, the emphasis on comprehensive data lifecycle management strategies continues to grow, driving market expansion.

Another pivotal driver is the rising stringency of global data privacy regulations, such as the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), and other region-specific mandates. These regulations necessitate robust data governance frameworks, compelling organizations to invest in DLM solutions that facilitate data classification, retention, and secure deletion. The need to demonstrate compliance during audits and mitigate the risk of data breaches is pushing enterprises, especially in regulated industries like BFSI and healthcare, to adopt end-to-end data lifecycle management platforms. The integration of artificial intelligence and automation within DLM tools is also enhancing their effectiveness, enabling real-time data discovery and policy enforcement.

The rapid adoption of digital transformation across sectors such as manufacturing, retail, and government is further accelerating the growth of the Data Lifecycle Management market. Enterprises are leveraging DLM to support business agility, enhance operational efficiency, and improve decision-making by ensuring data integrity and availability. The shift toward hybrid and multi-cloud environments is prompting organizations to seek scalable, interoperable DLM solutions that can manage data seamlessly across on-premises and cloud infrastructures. Moreover, the growing awareness among small and medium enterprises (SMEs) about the benefits of DLM in reducing operational risks and optimizing resources is expanding the market’s addressable base.

Regionally, North America remains the largest and most mature market for Data Lifecycle Management, accounting for a significant share of global revenues in 2024. The presence of leading technology providers, early adoption of advanced IT solutions, and a highly regulated business environment are key factors driving market growth in this region. Meanwhile, Asia Pacific is emerging as the fastest-growing market, propelled by rapid digitalization, expanding cloud adoption, and increasing investments in data security and compliance. Europe continues to witness steady growth, underpinned by stringent data protection laws and a strong focus on data governance across industries. Latin America and the Middle East & Africa are gradually embracing DLM solutions, driven by growing awareness and investments in digital infrastructure.

Component Analysis

The Data Lifecycle Management market is segmented by component into Software and Services, with both segments playing pivotal roles in addressing the diverse needs of enterprises. The software segment encomp

OpenLCA Nexus is an online repository for LCA data. It combines data offered by world-leading LCA data providers such as PE International (GaBi databases), the ecoinvent centre (ecoinvent), or the Joint Research Centre from the European Commission (ELCD).

This website contains a powerful search engine for LCA data that allows filtering requested data sets by database, or by year, geographical location, by industrial sector, and by product and price. Nexus contains free and “for purchase” data sets.

Website: http://www.lifecycleinitiative.org/