This dataset includes Tempe’s tree inventory data and benefits of the trees as calculated by i-Tree Eco in October 2021. The dataset was put together by West Coast Arborists, Inc. (WCA) in 2021.About Tempe's Tree Inventory and i-Tree EcoThis dataset contains the point locations and attributes of trees within City of Tempe and Facilities. The point dataset was originally collected by WCA, Inc. in 2017 and is routinely updated by WCA and the City of Tempe. The attributes used included TreeID, Exact DBH, Height Range, Exact Height, Condition, Botanical Name, Common Name, Latitude, and Longitude. Updates to the Tempe's point layer was made using the results from i-Tree Eco. An i-Tree Eco Analysis was run in September 2021 using i-Tree Eco v6.0.22 and the results were joined based on unique tree ID to Tempe's Tree inventory. The results from i-Tree Eco were added as attributes to the Tempe's Tree inventory. Attributes added were: Structural Value ($), Carbon Storage (lb), Carbon Storage ($), Gross Carbon Sequestration (lb/yr), Gross Carbon Sequestration ($/yr), Avoided Runoff (cubicFT/yr), Avoided Runoff ($/yr), Pollution Removal (oz/yr), Pollution Removal ($/yr) , Total Annual Benefits ($/yr), Height (ft), Canopy Cover (sqft), Tree Condition, Leaf Area (sqft), Leaf Biomass (lb), Leaf Area Index Basal Area (sqft), Cond, i-Tree_ID_BotName, i-Tree_ID_ComName and i-Tree_ID Genus. The exact definitions, meanings, calculations, etc. for the i-Tree Values can be found on i-Tree’s website via the i-Tree Eco User Manual.i-Tree Eco. i-Tree Software Suite v6.x. Web. Fall 2021. https://www.itreetools.orgi-Tree Eco Manual:https://www.itreetools.org/documents/275/EcoV6_UsersManual.2021.09.22.pdfTempe Tree and Shade Coverage (data hub site):https://urbanforestry.tempe.gov/Additional InformationSource: West Coast Arborists, Inc. (WCA) 2021; i-Tree Eco v6 2021Contact: Richard AdkinsContact E-Mail: richard_adkins@tempe.govData Source Type: GPS and Google map data; tables in CVS and Excel formatPreparation Method: Field observations and records of individual trees; value calculations based on i-Tree Eco v6 found at https://www.itreetools.org/support/resources-overview/i-tree-manuals-workbooksPublish Frequency: Every 5 years or as data becomes availablePublish Method: ManualData Dictionary

This dataset is about stocks per day and is filtered where the stock is ECO.L and the date is after 2024-09-20, featuring 3 columns: date, lowest price, and stock. The preview is ordered by date (descending).

This data set includes in one data file the common names, base diameters, and calculated tree masses for almost 3,000 trees on a 5 hectare plot (20 x 2,500 m) located in the Ducke Reserve near Manaus, Brazil in the central Amazon. Measurements were taken during October-December 1999. All diameter measurements were taken at 1.3 meters in height (DBH), or above the buttresses or other stem anomalies. Forest structure characteristics such as biomass density, stem density, diameter class distribution, and taxonomic information at the family and perhaps genus level, can be derived from these data.

Tranche 2: Strategic Objective 1

A novel approach to guiding biodiversity restoration

We know we need to do more to protect, restore and connect Aotearoa New Zealand’s unique ecosystems and biodiversity, but where do we start?

Land managers, decision-makers, community environmentalists, and policy-makers are all wrestling with questions such as: where do we start, what do we prioritise, where do we get good data, and whose information do we trust? In the vacuum of information on ecosystem restoration planning at landscape scale, the Eco-index programme delivers a new ecosystem restoration information service to level-up biodiversity decision-making, monitoring and verification across the motu

Co-Leads:

• Dr Kiri Wallace (University of Waikato)

• Dr John Reid (Earth Quotient Ltd)

Eco-index website

Inventory Tags Market size was valued at USD 5.42 Billion in 2024 and is projected to reach USD 7.50 Billion by 2031, growing at a CAGR of 4.8% during the forecast period 2024-2031.

Global Inventory Tags Market Drivers

Regulatory Compliance: Tight regulatory regulations for inventory tracking and management are frequently applicable to industries like healthcare, manufacturing, and retail. The need for inventory tags that adhere to strict guidelines is driven by compliance with these rules.
Productivity and Efficiency: Businesses are always looking for methods to increase productivity and efficiency in their operations. Inventory tags that make it simple to identify, track, and manage assets help to streamline procedures, cut down on operating expenses, and increase overall productivity.
Adoption of RFID Technology: One major factor propelling the Inventory Tags Market is the use of radio-frequency identification, or RFID, technology for inventory management. With the real-time tracking features that RFID tags provide, organizations can reliably track inventory movement, minimize stockouts, and guard against theft or loss.
Growth of E-Commerce: As e-commerce continues to expand quickly, there is a greater need than ever for effective inventory management systems. Inventory tags are essential for streamlining warehouse operations, guaranteeing precise order fulfillment, and reducing shipping errors—all of which help e-commerce companies grow.
Demand for Branding and Customization: Businesses are searching more and more for inventory tags that can be customized to meet their branding and labeling specifications. Personalized tags aid in product monitoring and identification across the supply chain in addition to promoting brands.
Increasing Knowledge of Asset Management: Companies in a variety of industries are realizing how crucial efficient asset management is to optimizing return on investment and reducing losses. The need for inventory tags is driven by the ability of companies to monitor the location, condition, and usage of assets in real-time—especially when those tags are coupled with asset tracking systems.
Emphasis on Sustainability: As environmental concerns rise, there is a growing need for eco-friendly and sustainable materials in inventory tags and other packaging and labeling solutions. Manufacturers who provide environmentally friendly tag choices with recyclable or biodegradable substrates are probably going to succeed in the market.
Digitalization of Supply Chains: Barcode and RFID tags are among the advanced inventory management technologies that are becoming more and more popular as a result of the continuous digitalization of supply chains. By facilitating a smooth interface with digital inventory management systems, these technologies improve supply chain operations visibility and control.

A field inventory of trees was conducted in March of 1997 in a logging concession at the Tapajos National Forest, south of Santarem, Para, Brazil. The inventory was conducted by the foresters and technicians of the Tropical Forest Foundation (FFT) and included all trees with diameter at breast height greater than or equal to 35 cm. Four blocks of approximately 100 ha each within the 3,200 ha concession were inventoried. Within each block, parallel trails 50 m apart were established, and the location of each tree measured was recorded to the nearest meter using an orthogonal coordinate system based on these trails. Field data for each tree includes: identification number, ground position, diameter, common name, scientific name and qualitative estimates of bole and canopy quality. Data are provided in one ASCII comma separated file. These data were used to calculate above-ground live biomass as described in Keller et al. (2001), but biomass data are not included in this data set.

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Comprehensive collection of financial reports and documents for Eco 5 Tech Spolka Akcyjna (ECT)

Costa Rica CR: Trade of Goods and Services: Volume: Double Hit Scenario data was reported at 18.282 USD bn in 2021. This records an increase from the previous number of 18.154 USD bn for 2020. Costa Rica CR: Trade of Goods and Services: Volume: Double Hit Scenario data is updated yearly, averaging 11.630 USD bn from Dec 1991 (Median) to 2021, with 31 observations. The data reached an all-time high of 20.163 USD bn in 2019 and a record low of 4.306 USD bn in 1991. Costa Rica CR: Trade of Goods and Services: Volume: Double Hit Scenario data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Costa Rica – Table CR.OECD.EO: Trade Statistics: Trade Volume and Relative Price: Forecast: OECD Member: Annual. TGSVD - Goods and services trade, volume OECD calculation, see OECD Economic Outlook, Database Inventory OECD Economic Outlook, Database Inventory:https://www.oecd.org/eco/outlook/Database_Inventory.pdf

Costa Rica CR: Import Penetration: Goods and Services data was reported at 0.239 Ratio in 2024. This records an increase from the previous number of 0.235 Ratio for 2023. Costa Rica CR: Import Penetration: Goods and Services data is updated yearly, averaging 0.227 Ratio from Dec 1991 to 2024, with 34 observations. The data reached an all-time high of 0.246 Ratio in 1998 and a record low of 0.185 Ratio in 1991. Costa Rica CR: Import Penetration: Goods and Services data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Costa Rica – Table CR.OECD.EO: Trade Statistics: Share in World Trade and Performance Indicators: Forecast: OECD Member: Annual. MPEN - Import penetration, goods and services OECD calculation, see OECD Economic Outlook, Database Inventory OECD Economic Outlook, Database Inventory: http://www.oecd.org/eco/outlook/Database_Inventory.pdf

Costa Rica CR: Balance of Payment: Current Account Balance: as % of GDP: Double Hit Scenario data was reported at -4.137 % in 2021. This records an increase from the previous number of -4.766 % for 2020. Costa Rica CR: Balance of Payment: Current Account Balance: as % of GDP: Double Hit Scenario data is updated yearly, averaging -3.777 % from Dec 2009 (Median) to 2021, with 13 observations. The data reached an all-time high of -1.725 % in 2009 and a record low of -5.404 % in 2011. Costa Rica CR: Balance of Payment: Current Account Balance: as % of GDP: Double Hit Scenario data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Costa Rica – Table CR.OECD.EO: Balance of Payments: Current Account: Forecast: OECD Member: Annual. CBGDPR-Current account balance, as a percentage of GDP Sixth Edition of the IMF's Balance of Payments and International Investment Position Manual (BPM6):https://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm OECD Economic Outlook, Database Inventory:https://www.oecd.org/eco/outlook/Database_Inventory.pdf

Slovakia SK: Trade of Goods and Services: Volume: Double Hit Scenario data was reported at 77.570 USD bn in 2021. This records an increase from the previous number of 75.556 USD bn for 2020. Slovakia SK: Trade of Goods and Services: Volume: Double Hit Scenario data is updated yearly, averaging 51.283 USD bn from Dec 1992 (Median) to 2021, with 30 observations. The data reached an all-time high of 93.574 USD bn in 2019 and a record low of 15.579 USD bn in 1993. Slovakia SK: Trade of Goods and Services: Volume: Double Hit Scenario data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Slovakia – Table SK.OECD.EO: Trade Statistics: Trade Volume and Relative Price: Forecast: OECD Member: Annual. TGSVD - Goods and services trade, volume OECD calculation, see OECD Economic Outlook, Database Inventory OECD Economic Outlook, Database Inventory:https://www.oecd.org/eco/outlook/Database_Inventory.pdf

Lithuania LT: Trade of Goods and Services: Volume: Double Hit Scenario data was reported at 36.721 USD bn in Dec 2021. This records an increase from the previous number of 36.060 USD bn for Sep 2021. Lithuania LT: Trade of Goods and Services: Volume: Double Hit Scenario data is updated quarterly, averaging 19.892 USD bn from Mar 1995 (Median) to Dec 2021, with 108 observations. The data reached an all-time high of 39.199 USD bn in Sep 2019 and a record low of 4.524 USD bn in Mar 1995. Lithuania LT: Trade of Goods and Services: Volume: Double Hit Scenario data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Lithuania – Table LT.OECD.EO: Trade Statistics: Trade Volume and Relative Price: Forecast: OECD Member: Quarterly. TGSVD - Goods and services trade, volume OECD calculation, see OECD Economic Outlook, Database Inventory OECD Economic Outlook, Database Inventory:https://www.oecd.org/eco/outlook/Database_Inventory.pdf

description: Leaf, live wood (tree stem), and soil respiration were measured along with additional environmental factors over a 1-yr period in a Central Amazon terra firme forest and are provided in this data set as three comma delimited data files. Investigations were carried out at an INPA reserve located along the ZF2 road at km 34 [LBA 34] on two 20 x 2500 m permanent forest inventory plots referred to as the Jacaranda plots (-2.6091 degrees S, -60.2093 degrees W). These long and narrow plots capture ecosystem variation associated with the undulating local topography. Leaf respiration measurements were also made at the tower located at ZF-2 road (km 14 [LBA 14]. Leaf respiration was measured during July and August 2001, woody respiration in August 2000 and June 2001, and soil respiration between July 2000 and June 2001 at 4 to 6-wk intervals.Understanding how tropical forest carbon balance will respond to global change requires knowledge of individual heterotrophic and autotrophic respiratory sources, together with factors that control respiratory variability. These data were used to estimate ecosystem leaf, live wood and soil respiration with detailed information provided in Chambers et al. (2004).; abstract: Leaf, live wood (tree stem), and soil respiration were measured along with additional environmental factors over a 1-yr period in a Central Amazon terra firme forest and are provided in this data set as three comma delimited data files. Investigations were carried out at an INPA reserve located along the ZF2 road at km 34 [LBA 34] on two 20 x 2500 m permanent forest inventory plots referred to as the Jacaranda plots (-2.6091 degrees S, -60.2093 degrees W). These long and narrow plots capture ecosystem variation associated with the undulating local topography. Leaf respiration measurements were also made at the tower located at ZF-2 road (km 14 [LBA 14]. Leaf respiration was measured during July and August 2001, woody respiration in August 2000 and June 2001, and soil respiration between July 2000 and June 2001 at 4 to 6-wk intervals.Understanding how tropical forest carbon balance will respond to global change requires knowledge of individual heterotrophic and autotrophic respiratory sources, together with factors that control respiratory variability. These data were used to estimate ecosystem leaf, live wood and soil respiration with detailed information provided in Chambers et al. (2004).

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Informació referent al compliment de les obligacions de tramesa economicofinanceres que tenen el ens locals per a un període acumulatiu d’anualitats i informació anual quan a l’estat de les trameses de l’ens local i d’altres ens del seu sector públic del pressupost i la liquidació del pressupost al Departament de la Presidència, del deute a final d’exercici al Departament d’Economia i Finances i del compte general a la Sindicatura de Comptes de Catalunya.

This data set reports the results of a rainfall exclusion experiment in the Tapajos National Forest (Flona-Tapajos) at km 67 along the Santarem-Cuiaba BR-163 highway. From December 1999 through April 2005, following a one-year pre-treatment phase, rainfall was excluded from one of two 1-hectare plots of seasonally dry humid tropical forest. Soil emissions of carbon dioxide (CO2), nitric oxide (NO), nitrous oxide (N2O), and methane (CH4) were monitored in order to determine the likely effect of increasingly frequent El Nino drought episodes in the Amazon basin. Soil trace gas flux data are provided in one comma-separated data file.

This natural community classification is a useful resource for identifying, conserving, and restoring important places that represent a broad range of ecological conditions. This natural community classification is meant to serve as a tool for those seeking to understand, describe, document, and restore the diversity of natural communities native to Michigan. This classification of natural community types is based on a combination of data derived from statewide and regional surveys, ecological sampling and data analysis, literature review, and expert assessment. Michigan Natural Features Inventory has created this dataset and manages any suggested updates. Find more information regarding this data and its creation at the Michigan Natural Features Inventory.

Israel IL: Trade of Goods and Services: Volume: Single Hit Scenario data was reported at 106.000 USD bn in Dec 2021. This records an increase from the previous number of 105.000 USD bn for Sep 2021. Israel IL: Trade of Goods and Services: Volume: Single Hit Scenario data is updated quarterly, averaging 72.959 USD bn from Mar 1995 (Median) to Dec 2021, with 108 observations. The data reached an all-time high of 110.000 USD bn in Dec 2019 and a record low of 35.039 USD bn in Mar 1995. Israel IL: Trade of Goods and Services: Volume: Single Hit Scenario data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Israel – Table IL.OECD.EO: Trade Statistics: Trade Volume and Relative Price: Forecast: OECD Member: Quarterly. TGSVD - Goods and services trade, volume OECD calculation, see OECD Economic Outlook, Database Inventory OECD Economic Outlook, Database Inventory:https://www.oecd.org/eco/outlook/Database_Inventory.pdf

The global retail shelving system market is projected to reach a value of XX Billion by 2033, expanding at a CAGR of 4.5% during the forecast period (2023-2033). Rising demand for organized retail spaces and growing investment in the retail sector are key drivers of this market. The market is segmented based on factors including material, type, design, load capacity, and application, ensuring a comprehensive analysis of the various dimensions of the industry. Key trends shaping the market include the adoption of smart shelving systems with advanced features such as RFID and IoT, increasing demand for adjustable and mobile shelves to meet changing inventory needs, and growing popularity of heavy-duty shelves for industrial applications. The market is also characterized by a competitive landscape, with major players including Unartek, Lyon Metal Products, and SSI Schaefer. Regional analysis reveals that North America and Asia Pacific are expected to remain dominant markets, driven by factors such as urbanization and the presence of large retail chains. Recent developments include: The retail shelving system market is projected to reach USD 27.3 billion by 2032, exhibiting a CAGR of 4.5% from 2024 to 2032. The market growth is primarily driven by the increasing demand for organized retail and e-commerce, leading to a surge in the need for efficient storage and display solutions. Additionally, advancements in materials and designs, such as modular and adjustable shelving systems, are contributing to market expansion. Recent news developments include the growing adoption of smart shelving systems with integrated sensors and analytics to enhance inventory management and customer engagement. Furthermore, the rise of sustainable practices is driving demand for eco-friendly retail shelving solutions made from recycled materials.. Key drivers for this market are: 1 E-commerce Growth Rise in online shopping2 Sustainable Solutions Demand for eco-friendly materials3 Customization and Flexibility Personalized shelving systems4 Smart Shelving Integration with IoT technologies5 Emerging Markets Untapped potential in developing countries. Potential restraints include: 1 Growing e-commerce driving demand for flexible storage systems2 Rise of omnichannel retailing necessitating agile shelving solutions3 Sustainability leading to increasing adoption of eco-friendly materials4 Smart shelving systems offering real-time inventory tracking and customer engagement5 Customization and personalization catering to specific retail needs.