This occurrence dataset provides primary data on repeated tree measurement of two inventories on the permanent sampling plot (8.8 ha) established in the old-growth polydominant broadleaved forest stand in the “Kaluzhskie Zaseki” State Nature Reserve (center of the European part of Russian Federation). The time span between the inventories was 30 years, and a total of more than 11 000 stems were included in the study (11 tree species and 3 genera). During the measurements, the tree species (for some trees only genus was determined), stem diameter at breast height of 1.3 m (DBH), and life status were recorded for every individual stem, and some additional attributes were determined for some trees. Field data were digitized and compiled into the PostgreSQL database. Deep data cleaning and validation (with documentation of changes) has been performed before data standardization according to the Darwin Core standard.

Представлены первичные данные двух перечетов деревьев, выполненных на постоянной пробной площади (8.8 га), заложенной в старовозрастном полидоминантном широколиственном лесу в заповеднике “Калужские засеки”. Перечеты выполнены с разницей в 30 лет, всего исследовано более 11 000 учетных единиц (деревья 11-ти видов и 3-х родов). Для каждой учетной единицы определяли вид, диаметр на высоте 1.3 м и статус, для части деревьев также измеряли дополнительные характеристики. Все полевые данные были оцифрованы и организованы в базу данных в среде PostgreSQL. Перед стандартизацией данных в соответствии с Darwin Core выполнена их тщательная проверка, все внесенные изменения документированы.

Inventory

## Overview

Inventory is a dataset for object detection tasks - it contains Switch annotations for 343 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

(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

Global Retail Inventory Management Software market size is expected to reach $14.96 billion by 2029 at 12.4%, segmented as by manually managed inventory systems, spreadsheet-based systems, basic inventory software, barcode scanning systems

This asset is a derived view based on the system dataset 'Site Analytics: Asset Inventory' which is automatically generated by the data management platform and provides a comprehensive inventory of all assets on this site. This asset has been filtered to present an overview of the various types of data that are classified as public and have been published on the City of Austin Open Data Portal (data.austintexas.gov) by departmental data owners.

The columns of the Asset Inventory dataset contain information about every asset. These include metadata fields (e.g., Name, Description, and Category), as well as statistics, such as the number of visits, row count, column count, and downloads. This asset is updated at least once per day to sync any changes, additional assets, or removed assets.

Data provided by: Tyler Technologies Creation date of data source: November 1, 2022

*City of Austin Open Data Terms of Use – https://data.austintexas.gov/stories/s/ranj-cccq

This is an inventory of all data assets maintained by USAID.

The online inventory management platform market is experiencing robust growth, driven by the increasing adoption of cloud-based solutions and the need for real-time visibility across supply chains. The market, estimated at $15 billion in 2025, is projected to expand at a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $45 billion by 2033. This growth is fueled by several key factors. Businesses, particularly small and medium-sized enterprises (SMEs), are increasingly adopting these platforms to streamline operations, reduce manual errors, and improve overall efficiency. The integration of advanced analytics capabilities within these platforms enables businesses to make data-driven decisions regarding inventory levels, purchasing, and forecasting, leading to significant cost savings. Furthermore, the rise of e-commerce and omnichannel retailing necessitates sophisticated inventory management solutions capable of handling high transaction volumes and diverse sales channels. The market is segmented by application (real-time inventory management, scanning, reporting and analytics) and type (integrated, non-integrated), with integrated solutions gaining traction due to their seamless workflow integration. Geographic expansion is another significant factor, with North America and Europe currently dominating the market, while Asia Pacific is expected to witness significant growth driven by rapid e-commerce development and increasing digitalization across various industries. Competitive pressures are high, with established players like QuickBooks and Xero competing against specialized inventory management platforms like Fishbowl and Cin7. However, the overall market exhibits strong growth potential due to increasing demand for improved inventory control and supply chain optimization. The competitive landscape is dynamic, with both established enterprise resource planning (ERP) vendors and specialized inventory management software providers vying for market share. The success of individual companies will depend on factors such as the breadth and depth of their feature sets, integration capabilities with existing business systems, ease of use, and the quality of their customer support. The market's growth will be further propelled by advancements in artificial intelligence (AI) and machine learning (ML), enabling predictive analytics and automated inventory optimization. The continued adoption of mobile and cloud technologies will also contribute to enhanced accessibility and scalability, broadening the platform's appeal to businesses of all sizes. However, potential restraints include the initial investment costs associated with implementation and integration, the need for robust IT infrastructure, and concerns surrounding data security and privacy. Nevertheless, the overall outlook for the online inventory management platform market remains highly positive, driven by the increasing demand for streamlined inventory management, improved operational efficiency, and better data-driven decision-making capabilities.

Data on Forest Inventory and Analysis (FIA) includes information on Palau's forests 2013-2014. The Pacific Northwest Forest Inventory and Analysis (PNW-FIA) program measures and compiles data on plots in coastal Alaska, California, Hawaii, Oregon, Washington, and U.S.- affiliated Pacific Islands. Most data are available in Access databases and can be downloaded by clicking one of the links below. PNW data are combined with data from all states in the U.S. and stored in the national FIADB. Data for any state can be accessed on the national website (see links to national tools below). Please be aware that some documents may be very large. The PNW-FIA Program shifted from a periodic to an annual inventory system in 2001. Periodic inventories sampled primarily timberland plots outside of national forests and most reserved areas, in a single state within a 2- or 3-year window. Typically, re-assessments occurred every ten years in the West. For the annual inventory in the Pacific Northwest all forested plots are now sampled, with one-tenth of the plots in any given state being visited annually. A full annual inventory cycle is complete in ten years. To download and use the FIA Database, follow this link https://www.fs.fed.us/pnw/rma/fia-topics/inventory-data

The online inventory management software market, currently valued at $1661 million in 2025, is projected to experience robust growth, driven by the increasing adoption of cloud-based solutions and the expanding e-commerce sector. Businesses of all sizes are seeking streamlined inventory management to optimize operations, reduce costs, and improve efficiency. The demand for real-time inventory tracking, automated ordering, and integrated sales channels fuels this growth. Key market drivers include the need for enhanced supply chain visibility, improved forecasting accuracy, and reduced manual errors associated with traditional inventory methods. The trend towards mobile accessibility and integration with other business software further contributes to market expansion. While challenges such as initial implementation costs and the need for robust cybersecurity measures exist, the long-term benefits of improved inventory control and data-driven decision-making outweigh these concerns. Competition within the market is fierce, with established players like QuickBooks and Xero competing alongside specialized solutions like Fishbowl and Cin7. The market's continued growth trajectory indicates significant opportunity for both established vendors and emerging players. The forecast period of 2025-2033 anticipates a Compound Annual Growth Rate (CAGR) of 7.7%, signifying a consistent upward trend. This growth will be propelled by several factors, including the rising adoption of omnichannel retailing strategies, the increasing integration of artificial intelligence and machine learning for predictive inventory analysis, and a growing demand for specialized inventory management solutions catering to niche industries like retail, manufacturing, and healthcare. The market segmentation, while not explicitly detailed, likely encompasses solutions categorized by business size (SMB vs. Enterprise), industry vertical, and deployment model (cloud-based vs. on-premise). Regional variations in adoption rates will also shape the market landscape, with North America and Europe anticipated as key markets due to their established technological infrastructure and strong e-commerce presence. Strategic partnerships and acquisitions are anticipated to further consolidate the market, leading to a landscape dominated by key players with comprehensive and scalable solutions.

Inventory Tag System Market Outlook

The global inventory tag system market size was valued at approximately $3.5 billion in 2023 and is expected to reach around $6.8 billion by 2032, growing at a compound annual growth rate (CAGR) of about 7.8%. This substantial growth is driven by the increasing demand for efficient supply chain management solutions across various industries, ranging from retail to healthcare. The adoption of advanced tagging technologies such as RFID and NFC further propels the market, as these technologies offer real-time tracking and high accuracy, essential for modern inventory management. The need to minimize human errors, reduce inventory carrying costs, and enhance overall operational efficiency are key factors contributing to the market's expansion.

A significant growth factor for the inventory tag system market is the rapid digitization across industries, which is transforming traditional supply chain operations. As businesses seek to enhance visibility and transparency in their supply chains, inventory tag systems have emerged as crucial tools. These systems not only track inventory levels but also provide critical data analytics, enabling businesses to make informed decisions. The integration of IoT with inventory tag systems further enhances their capabilities, allowing for seamless communication between devices and the centralized inventory management software, thus streamlining operations and increasing productivity.

The expanding e-commerce sector also plays a crucial role in driving the inventory tag system market. With the surge in online shopping, the demand for efficient inventory management has escalated, compelling retailers to adopt advanced tagging systems. These systems offer real-time data on inventory levels, reducing stockouts and overstock situations, which are critical in the fast-paced e-commerce environment. Moreover, the increasing complexity of supply chains, with multiple vendors and channels, necessitates the use of sophisticated inventory management solutions to ensure timely delivery and customer satisfaction.

Technological advancements in inventory tagging solutions, such as the development of more durable and versatile tags, are another driving force for market growth. Innovations in materials and design have resulted in tags that can withstand harsh environmental conditions, making them suitable for a broader range of applications, from retail to industrial settings. Additionally, the decreasing cost of RFID and NFC technologies makes them more accessible to small and medium enterprises (SMEs), thus widening the market's reach. Customizable solutions that cater to specific business needs further enhance the adoption of inventory tag systems across various sectors.

Regionally, North America remains a dominant player in the inventory tag system market, attributed to the region's early adoption of advanced technologies and the presence of key market players. However, the Asia Pacific region is anticipated to witness the fastest growth during the forecast period, driven by the burgeoning retail sector and the increasing emphasis on efficient supply chain management in emerging economies like China and India. The region's rapid industrialization, coupled with government initiatives to promote digitalization, provides a fertile ground for the expansion of inventory tag systems. Meanwhile, Europe and Latin America also present promising opportunities, fueled by the growing demand for innovative inventory solutions in diverse industries.

Component Analysis

The inventory tag system market is broadly segmented based on components into hardware, software, and services. Hardware components, which include tags, readers, and antennas, comprise the backbone of inventory tag systems. The demand for advanced hardware components is on the rise as businesses increasingly seek robust solutions that offer greater range, reliability, and precision in tracking inventory. RFID and NFC technologies are becoming more prevalent in hardware solutions due to their ability to provide real-time inventory tracking and data analytics, driving the growth of this segment.

Software components in the inventory tag system market play a crucial role in processing data collected by hardware devices and providing actionable insights. This segment is witnessing significant growth as businesses demand sophisticated software solutions that offer features such as data analytics, reporting, and integration with enterprise resource planning (ERP) systems. The development of cloud-based software solutions further accelerates the adopt

Gadget Inventory

## Overview

Gadget Inventory is a dataset for object detection tasks - it contains Objects annotations for 530 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

The global inventory tag system market, valued at $4905.8 million in 2025, is projected to experience robust growth, driven by the increasing need for efficient inventory management across diverse sectors. The market's Compound Annual Growth Rate (CAGR) of 3.7% from 2025 to 2033 signifies a steady expansion fueled by several key factors. The rising adoption of automation and digitization in supply chain processes is a major driver, with businesses increasingly relying on real-time inventory tracking for optimized operations and reduced losses from stockouts or overstocking. Furthermore, the burgeoning e-commerce sector necessitates advanced inventory management solutions, contributing significantly to market growth. The growing demand for improved traceability and security within supply chains, particularly in industries like pharmaceuticals and high-value goods, further propels adoption. Segment-wise, the industrial sector dominates the application segment, owing to the high volume of inventory and intricate supply chains. Plastic tags hold a significant share in the types segment, benefiting from their cost-effectiveness and versatility. Geographically, North America and Europe currently lead the market, with established supply chains and a higher adoption rate of advanced technologies. However, the Asia-Pacific region is poised for rapid growth driven by expanding industrialization and e-commerce penetration. While challenges such as the initial investment costs associated with implementing new systems and potential concerns regarding data security exist, the overall market outlook remains positive, reflecting a significant opportunity for growth and innovation in inventory management solutions. The competitive landscape is shaped by established players like 3M, Avery Dennison, and Checkpoint Systems, alongside emerging technology providers. These companies are continuously innovating to enhance the capabilities of inventory tag systems, incorporating features like RFID (Radio-Frequency Identification), IoT (Internet of Things) integration, and advanced analytics. This ongoing technological advancement is driving the market towards more sophisticated and integrated solutions that offer greater efficiency, accuracy, and visibility across the entire supply chain. The development of more durable and cost-effective tag materials, coupled with improved software for data analysis and reporting, will be pivotal in shaping the future trajectory of the inventory tag system market. This will lead to a wider range of applications across various industries and geographical regions, ensuring continued market expansion.

The Forest Inventory and Analysis (FIA) research program has been in existence since mandated by Congress in 1928. FIA's primary objective is to determine the extent, condition, volume, growth, and depletion of timber on the Nation's forest land. Before 1999, all inventories were conducted on a periodic basis. The passage of the 1998 Farm Bill requires FIA to collect data annually on plots within each State. This kind of up-to-date information is essential to frame realistic forest policies and programs. Summary reports for individual States are published but the Forest Service also provides data collected in each inventory to those interested in further analysis. Data is distributed via the FIA DataMart in a standard format. This standard format, referred to as the Forest Inventory and Analysis Database (FIADB) structure, was developed to provide users with as much data as possible in a consistent manner among States. A number of inventories conducted prior to the implementation of the annual inventory are available in the FIADB. However, various data attributes may be empty or the items may have been collected or computed differently. Annual inventories use a common plot design and common data collection procedures nationwide, resulting in greater consistency among FIA work units than earlier inventories. Links to field collection manuals and the FIADB user's manual are provided in the FIA DataMart.

Mayor's Order 2017-115 establishes a comprehensive data policy for the District government. The data created and managed by the District government are valuable assets and are independent of the information systems in which the data reside. As such, the District government shall: maintain an inventory of its enterprise datasets; classify enterprise datasets by level of sensitivity; regularly publish the inventory, including the classifications, as an open dataset; and strategically plan and manage its investment in data.The greatest value from the District’s investment in data can only be realized when enterprise datasets are freely shared among District agencies, with federal and regional governments, and with the public to the fullest extent consistent with safety, privacy, and security. For more information, please visit https://opendata.dc.gov/pages/edi-overview. Previous years of EDI can be found on Open Data.