6 datasets found
  1. G

    Energy Treasure Hunt Virtual Platform Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Oct 4, 2025
    + more versions
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    Growth Market Reports (2025). Energy Treasure Hunt Virtual Platform Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/energy-treasure-hunt-virtual-platform-market
    Explore at:
    pptx, csv, pdfAvailable download formats
    Dataset updated
    Oct 4, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Energy Treasure Hunt Virtual Platform Market Outlook



    As per our latest research, the global Energy Treasure Hunt Virtual Platform market size reached USD 1.14 billion in 2024. The market is experiencing robust growth, driven by the increasing need for energy optimization and sustainability initiatives across industries. The market is projected to expand at a CAGR of 14.2% from 2025 to 2033, with the forecasted market size expected to reach USD 3.35 billion by 2033. This significant growth is primarily fueled by the rising adoption of digital transformation strategies, regulatory pressures for energy efficiency, and an escalating focus on reducing operational costs through advanced analytics and virtual collaboration platforms.




    One of the primary growth factors for the Energy Treasure Hunt Virtual Platform market is the intensifying global emphasis on sustainability and carbon footprint reduction. Organizations across manufacturing, utilities, and commercial buildings are recognizing the urgent need to identify and address energy inefficiencies. Virtual platforms enable teams to conduct comprehensive energy audits remotely, leveraging real-time data analytics and advanced visualization tools to uncover hidden opportunities for energy savings. This not only accelerates the audit process but also democratizes access to energy management expertise, making it feasible for organizations of all sizes to implement energy-saving measures. The integration of artificial intelligence (AI) and machine learning (ML) into these platforms has further enhanced their capability to analyze vast datasets, predict energy consumption trends, and recommend actionable insights, thereby driving substantial ROI for end-users.




    Another significant driver is the increasing regulatory scrutiny and compliance requirements imposed by governments and international bodies. Energy-intensive industries, particularly in regions like North America and Europe, are facing stringent mandates to report on energy consumption, emissions, and sustainability performance. Virtual treasure hunt platforms streamline the process of compliance monitoring by automating data collection, analysis, and reporting. This not only reduces the administrative burden but also ensures accuracy and transparency in sustainability reporting. The platforms' ability to seamlessly integrate with existing enterprise systems, such as building management systems (BMS) and enterprise resource planning (ERP) solutions, further enhances their value proposition, making them indispensable tools for organizations aiming to stay ahead of regulatory curves and avoid costly penalties.




    The proliferation of cloud-based solutions and advancements in digital connectivity have also played a pivotal role in market expansion. Cloud deployment enables remote collaboration among geographically dispersed teams, allowing organizations to tap into global expertise without the need for physical site visits. This is particularly beneficial in the current era of hybrid work environments and travel restrictions, where virtual platforms provide a cost-effective and scalable alternative to traditional energy audits. Additionally, the growing availability of high-speed internet and IoT-enabled devices has facilitated real-time data acquisition, enabling continuous monitoring and optimization of energy use. As organizations increasingly prioritize operational resilience and agility, the adoption of virtual energy treasure hunt platforms is expected to surge, further propelling market growth.




    From a regional perspective, North America currently dominates the Energy Treasure Hunt Virtual Platform market, accounting for the largest share in 2024. This leadership position is attributed to the early adoption of digital technologies, robust regulatory frameworks, and a high concentration of energy-intensive industries in the region. Europe follows closely, driven by ambitious sustainability targets and government incentives for energy efficiency initiatives. The Asia Pacific region is emerging as a high-growth market, propelled by rapid industrialization, urbanization, and increasing awareness of energy management best practices. Latin America and the Middle East & Africa are also witnessing gradual adoption, supported by government-led energy conservation programs and investments in smart infrastructure. Overall, the global market is poised for sustained growth, with regional dynamics reflecting varying degrees of digital maturity and regulatory pressures.

  2. m

    Predator's paradise - Data supporting "Extreme hunting efficiency in a...

    • data.mendeley.com
    Updated Oct 2, 2025
    + more versions
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    Leonie Baier (2025). Predator's paradise - Data supporting "Extreme hunting efficiency in a carnivorous bat" [Dataset]. http://doi.org/10.17632/f6y5m7skz5.6
    Explore at:
    Dataset updated
    Oct 2, 2025
    Authors
    Leonie Baier
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Large predators typically hunt relatively large prey with high failure rates and at high costs. In contrast, small predators generally hunt relatively small, abundant prey at lower failure rates, incurring relatively lower costs. Bats are small predators with high metabolic rates during flight and most species hunt large numbers of abundant, small insects. However, nine different bat species have evolved true carnivory, targeting large, less abundant vertebrate prey. This rare hunting style among bats raises the fundamental conundrum of how these very small predators with limited energy stores and high absolute energy requirements can successfully employ a hunting strategy that usually involves prolonged searching and high-energy chasing at low success rates. Here, we address this question by quantifying the hunting behavior of 20 wild carnivorous fringe-lipped bats (Trachops cirrhosus) with sound and movement biologging tags. We equipped 20 Trachops cirrhosus bats (8 females, 12 males) with sound- and movement- tags in March 2023 and in October 2023. The tags used in this study recorded continuous data for ~5.5 hrs during one night of foraging, amounting to the first half of the bats’ nightly activity periods. Recordings generally started with the bats’ activity period, either at emergence time (via a timer) when bats had been captured and tagged in their day roosts (9 bats) or at time of release, when bats had been captured and tagged during emergence (11 bats), therefore all recording intervals covered the onset of the foraging period. Audio data was recorded with an ultrasonic microphone (FG-3329; Knowles Electronics, Itaska, IL, USA) at a sampling rate of 187.5 kHz, with 16-bit resolution, a 10 kHz 1-pole analog high-pass filter, and a clipping level of 121 dB re 20 μPa pk. Movement data was recorded with triaxial accelerometers sampling at 1000 Hz with a clipping level of 8 g. All accelerometer data was calibrated, converted into acceleration units (m/s2), and decimated to 100 Hz. The orientation of the bats was recorded with triaxial magnetometers sampling at 50 Hz. Long mastication times of up to 84 minutes after a kill show that these bats can target prey as large as their own body size. Unlike much larger predators, they do so with extreme efficiency: the bats spent only a fraction of the night in flight (median 11%, quartiles 7-14%) and complemented short search and pursuit times with high rates of hunting success (50%, 35-62%), capitalizing on a combination of eavesdropping on prey sounds and hang-and-wait ambush predation. The unusual low-risk/high-gain strategy of these predatory bats critically relies on high prey densities in pristine ecosystems. The dwindling sizes of intact ecosystems and dramatic decline in biodiversity raise great concern for the Anthropocene fate of these specialized predators.

  3. Tidal Stream Generators Market will grow at a cagr of 6.60% from 2024 to...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Sep 15, 2025
    + more versions
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    Cognitive Market Research (2025). Tidal Stream Generators Market will grow at a cagr of 6.60% from 2024 to 2031. [Dataset]. https://www.cognitivemarketresearch.com/tidal-stream-generators-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Sep 15, 2025
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the global Tidal Stream Generators market size is USD XX million in 2024 and will expand at a compound annual growth rate (CAGR) of 6.60% from 2024 to 2031.

    North America held the major market of more than 40% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.8% from 2024 to 2031.
    Europe accounted for a share of over 30% of the global market size of USD XX million.
    Asia Pacific held the market of around 23% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.6% from 2024 to 2031.
    Latin America market of more than 5% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.0% from 2024 to 2031.
    Middle East and Africa held the major market of around 2% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.3% from 2024 to 2031.
    The Axial Generators held the highest Tidal Stream Generators market revenue share in 2024.
    

    Market Dynamics of the Tidal Stream Generators market

    Market Driver of the Tidal Stream Generators market

    Growing Demand for Renewable Energy to Increase the Demand Globally
    

    Concerns over energy security and climate change are driving up demand for renewable energy. The hunt for sustainable energy sources has increased as a result of this. Tidal Stream Generators (TSGs) are one of these that has shown promise. TSGs are different from other renewable energy sources like wind and sun because of their many benefits, which include their minimum environmental effect and consistent generation patterns. They are a serious competitor in the search for sustainable energy sources because of their capacity to capture the dependable and steady power of tidal currents.

    Technological Advancements to Propel Market Growth
    

    The efficiency and dependability of tidal stream generators (TSGs) have increased dramatically due to technological improvements, making them more and more economically feasible. This transition has been made possible in large part by advancements in grid integration, materials science, and turbine design. New materials have increased longevity and durability, lowering maintenance costs, while new turbine designs have maximized the conversion of tidal energy into electricity. Furthermore, a smoother integration of TSG-generated power into the energy mix has been made possible by improved integration with current networks. These technological advancements support TSG projects' viability economically and highlight their promise as a stable and sustainable energy source in the future.

    Market Restraint of the Tidal Stream Generators Market

    High Initial Investment Costs to Limit the Sales
    

    It is true that there are significant upfront expenses associated with the development and implementation of Tidal Stream Generator (TSG) projects, which pose a significant obstacle for smaller companies and investors. Significant capital investment is needed for the TSG infrastructure, which includes building turbines, undersea cabling, and grid connections. The cost is further increased by carrying out feasibility studies, acquiring required permits, and navigating regulatory procedures. Smaller businesses and investors with fewer resources are frequently discouraged from entering the TSG market by this expensive initial expenditure, which could hinder competition and innovation in the industry. Innovative funding methods, financial incentives from the government, or cooperative alliances to reduce risk and increase the accessibility of TSG projects for a wider variety of stakeholders may be necessary to overcome this obstacle.

    Environmental Impact on Marine Ecosystems 
    

    Tidal stream generators have the potential to disrupt marine habitats, affecting aquatic species and altering tidal flow patterns. This ecological issue frequently leads to rigorous regulatory examination and delays in project approvals, which restricts widespread implementation and hinders market growth, despite their capacity for renewable energy generation.

    Market Trends of the Tidal Stream Generators Market

    Rise of Hybrid Renewable Energy Systems
    

    Tidal stream generators are increasingly being co...

  4. H

    The Short-Run and Long-Run Effects of Behavioral Interventions: Experimental...

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Apr 3, 2020
    + more versions
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    Hunt Allcott; Todd Rogers (2020). The Short-Run and Long-Run Effects of Behavioral Interventions: Experimental Evidence from Energy Conservation [Dataset]. http://doi.org/10.7910/DVN/OCRH8F
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 3, 2020
    Dataset provided by
    Harvard Dataverse
    Authors
    Hunt Allcott; Todd Rogers
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    We document three remarkable features of the Opower program, in which social comparison-based home energy reports are repeatedly mailed to more than six million households nationwide. First, initial reports cause high-frequency "action and backsliding," but these cycles attenuate over time. Second, if reports are discontinued after two years, effects are relatively persistent, decaying at 10-20 percent per year. Third, consumers are slow to habituate: they continue to respond to repeated treatment even after two years. We show that the previous conservative assumptions about post-intervention persistence had dramatically understated cost effectiveness and illustrate how empirical estimates can optimize program design.

  5. n

    Data from: Nocturnal torpor by superb fairy-wrens: a key mechanism for...

    • data-staging.niaid.nih.gov
    • datadryad.org
    zip
    Updated Jun 6, 2019
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    Alex Romano; Anthony Hunt; J. Welbergen; Christopher Turbill (2019). Nocturnal torpor by superb fairy-wrens: a key mechanism for reducing winter daily energy expenditure [Dataset]. http://doi.org/10.5061/dryad.5gr7275
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jun 6, 2019
    Authors
    Alex Romano; Anthony Hunt; J. Welbergen; Christopher Turbill
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Description

    Many passerine birds are small and require a high mass-specific rate of resting energy expenditure, especially in the cold. The energetics of thermoregulation is therefore an important aspect of their ecology, yet few studies have quantified thermoregulatory patterns in wild passerines. We used miniature telemetry to record the skin temperature (Tskin) of free-living superb fairy-wrens (Malurus cyaneus, 8.6 g; n = 6 birds over N = 7 to 22 days) and determine the importance of controlled reductions in body temperature during resting to their winter energy budgets. Fairy-wrens routinely exhibited large daily fluctuations in Tskin between maxima of 41.9 ± 0.6°C and minima of 30.4 ± 0.7°C, with overall individual minima of 27.4 ± 1.1°C (maximum daily range: 14.7 ± 0.9 °C). These results provide strong evidence of nocturnal torpor in this small passerine, which we calculated to provide a 42% reduction in resting metabolic rate at a Ta of 5 °C compared to active-phase Tskin. A capacity for energy-saving torpor has important consequences for understanding the behaviour and life-history ecology of superb fairy-wrens. Moreover, our novel field data suggest that torpor could be more widespread and important than previously thought within passerines, the most diverse order of birds.

  6. o

    Black bear hunting activity and harvests

    • data.ontario.ca
    • data.urbandatacentre.ca
    • +3more
    csv, xlsx
    Updated Nov 13, 2025
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    (2025). Black bear hunting activity and harvests [Dataset]. https://data.ontario.ca/dataset/black-bear-hunting-activity-and-harvests
    Explore at:
    xlsx(18616), xlsx(17315), csv(18543), csv(18527)Available download formats
    Dataset updated
    Nov 13, 2025
    License

    https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario

    Time period covered
    Mar 25, 2025
    Area covered
    Ontario
    Description

    This data breaks down estimated hunter and harvest numbers by:

    • wildlife management unit (WMU)
    • calendar year

    Harvest and active hunter numbers are estimates based on replies received from a sample of hunters and are therefore subject to statistical error.

    Additional technical and statistical notes can be found in the data dictionary.

  7. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Growth Market Reports (2025). Energy Treasure Hunt Virtual Platform Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/energy-treasure-hunt-virtual-platform-market

Energy Treasure Hunt Virtual Platform Market Research Report 2033

Explore at:
pptx, csv, pdfAvailable download formats
Dataset updated
Oct 4, 2025
Dataset authored and provided by
Growth Market Reports
Time period covered
2024 - 2032
Area covered
Global
Description

Energy Treasure Hunt Virtual Platform Market Outlook



As per our latest research, the global Energy Treasure Hunt Virtual Platform market size reached USD 1.14 billion in 2024. The market is experiencing robust growth, driven by the increasing need for energy optimization and sustainability initiatives across industries. The market is projected to expand at a CAGR of 14.2% from 2025 to 2033, with the forecasted market size expected to reach USD 3.35 billion by 2033. This significant growth is primarily fueled by the rising adoption of digital transformation strategies, regulatory pressures for energy efficiency, and an escalating focus on reducing operational costs through advanced analytics and virtual collaboration platforms.




One of the primary growth factors for the Energy Treasure Hunt Virtual Platform market is the intensifying global emphasis on sustainability and carbon footprint reduction. Organizations across manufacturing, utilities, and commercial buildings are recognizing the urgent need to identify and address energy inefficiencies. Virtual platforms enable teams to conduct comprehensive energy audits remotely, leveraging real-time data analytics and advanced visualization tools to uncover hidden opportunities for energy savings. This not only accelerates the audit process but also democratizes access to energy management expertise, making it feasible for organizations of all sizes to implement energy-saving measures. The integration of artificial intelligence (AI) and machine learning (ML) into these platforms has further enhanced their capability to analyze vast datasets, predict energy consumption trends, and recommend actionable insights, thereby driving substantial ROI for end-users.




Another significant driver is the increasing regulatory scrutiny and compliance requirements imposed by governments and international bodies. Energy-intensive industries, particularly in regions like North America and Europe, are facing stringent mandates to report on energy consumption, emissions, and sustainability performance. Virtual treasure hunt platforms streamline the process of compliance monitoring by automating data collection, analysis, and reporting. This not only reduces the administrative burden but also ensures accuracy and transparency in sustainability reporting. The platforms' ability to seamlessly integrate with existing enterprise systems, such as building management systems (BMS) and enterprise resource planning (ERP) solutions, further enhances their value proposition, making them indispensable tools for organizations aiming to stay ahead of regulatory curves and avoid costly penalties.




The proliferation of cloud-based solutions and advancements in digital connectivity have also played a pivotal role in market expansion. Cloud deployment enables remote collaboration among geographically dispersed teams, allowing organizations to tap into global expertise without the need for physical site visits. This is particularly beneficial in the current era of hybrid work environments and travel restrictions, where virtual platforms provide a cost-effective and scalable alternative to traditional energy audits. Additionally, the growing availability of high-speed internet and IoT-enabled devices has facilitated real-time data acquisition, enabling continuous monitoring and optimization of energy use. As organizations increasingly prioritize operational resilience and agility, the adoption of virtual energy treasure hunt platforms is expected to surge, further propelling market growth.




From a regional perspective, North America currently dominates the Energy Treasure Hunt Virtual Platform market, accounting for the largest share in 2024. This leadership position is attributed to the early adoption of digital technologies, robust regulatory frameworks, and a high concentration of energy-intensive industries in the region. Europe follows closely, driven by ambitious sustainability targets and government incentives for energy efficiency initiatives. The Asia Pacific region is emerging as a high-growth market, propelled by rapid industrialization, urbanization, and increasing awareness of energy management best practices. Latin America and the Middle East & Africa are also witnessing gradual adoption, supported by government-led energy conservation programs and investments in smart infrastructure. Overall, the global market is poised for sustained growth, with regional dynamics reflecting varying degrees of digital maturity and regulatory pressures.

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