Products related to Data:
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Data Science Applied to Sustainability Analysis
Data Science Applied to Sustainability Analysis focuses on the methodological considerations associated with applying this tool in analysis techniques such as lifecycle assessment and materials flow analysis.As sustainability analysts need examples of applications of big data techniques that are defensible and practical in sustainability analyses and that yield actionable results that can inform policy development, corporate supply chain management strategy, or non-governmental organization positions, this book helps answer underlying questions.In addition, it addresses the need of data science experts looking for routes to apply their skills and knowledge to domain areas.
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Navigating Sustainability Data : How Organizations can use ESG Data to Secure Their Future
With sustainability now a fundamental strategic pillar for organizations, ESG metrics are vital for decision making, yet this data is complex and ever evolving. Navigating Sustainability Data provides a focused guide for leaders and executives who want to understand how sustainability impacts a company's future and how they can use data as a key tool to facilitate growth, access to capital and meet regulatory requirements.It explores what data is required to make decisions that directly affect the company's valuation and helps leadership teams decide what data points they need to be preparing for their boards to support the organization's financial, strategic and reputational future. Showing how leaders can move from measuring data to managing future organizational risks and rewards, the book explores how to use the right data for the appropriate situation to drive efficient sustainable business decisions.It explains ESG data in plain English and highlights what data is relevant to leaders; what investors consider as essential data; and how regulation, disclosure and transparency are on a rapidly changing journey.Navigating Sustainability Data holds the information you need to avoid greenwashing, to shape your role in the sustainability landscape, and to be a leader for the future.
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Data Dating : Love, Technology, Desire
What does it mean to love with technology? Does data improve our emotional interactions? The collection approaches the query with critical essays and works of new media art to look into the construction of love and its practices in the time of digitally mediated relationships.With expertise coming from recognized researchers, critics and artists in the field of media and cultural studies, it analyses relationship trends and affect cultures that have emerged from technological acceleration. Data Dating: Love, Technology and Desire is a comprehensive study of love and intimacy under digitalism that reflects on the structure of feeling(s) and libido environments in the high-tech and media-bound landscapes of contemporary technocracies. Organized around ten chapters and ten works of new media art, the collection offers an extensive critical analysis of technologized romance (and other emotional relations), as well as provides an insight into the codification, execution, deployment, and evolution of the patterns of togetherness in the so-called Tamagotchi era. The chapters engage in the problems of new material planes that have emerged from the abstraction of networked communication and dispersion of traditional notions of physicality.They close-read the templates of contemporary fantasy, fetish and eroticism, as shaped by platform capitalism, datafication, and new commodity cultures, in which self-promotion for bonding relies on the new possibilities that are coming in with new media self-mediation formats.Central to the analysis is the carbon-silicon dynamics of love’s contemporary DNA and libidinal techne – practiced in the environment where screens, interfaces, algorithms, data protocols and non-organic objects of affection and affect delineate, organize and program the trajectories of encounter, limerence and erotic pleasure.All the chapters are authored by recognized researchers in the field of love, emotion, media, technology and cultural studies, and they critically explore various aspects of love/intimacy under technocracy, approaching them with expertise the goes beyond the typical high-modernist and post-structural reading of the media-ridden life practices and environments. More importantly, the collection includes landmark works of new media art coming from prominent new media artist gathered around 'Data Dating' – new media art exhibition, curated by Valentina Peri (co-editor of the collection) and presented in Paris, Tel Aviv and London.As such, the collection proffers a unique and original critical approach – one that combines artistic practice and cultural criticism – to comment upon the transformation of human relationships and emotional standards under technological development with reference to the social change and cultural condition. The collection of essays, each accompanied by a work of media art, that provides a comprehensive insight into the construction of love and its practices in the time of digitally mediated relationships. Primary readership will be among educators, researcher and students in disciplines including cultural studies, media and communications, philosophy, sociology, psychology and gender, LGBTQ+ and sexual studies.It will be an extremely valuable resource for those in these fields. It will be of interest to other groups including art curators, online platform designers, social media content managers and designers and data specialists.
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Big Data for Urban Sustainability : A Human-Centered Perspective
This book presents a practical framework for the application of big data, cloud, and pervasive and complex systems to sustainable solutions for urban environmental challenges. It covers the technologies, potential, and possible and impact of big data on energy efficiency and the urban environment. The book first introduces key aspects of big data, cloud services, pervasive computing, and mobile technologies from a pragmatic design perspective, including sample open source firmware.Cloud services, mobile and embedded platforms, interfaces, operating system design methods, networking, and middleware are all considered.The authors then explore in detail the framework, design principles, architecture and key components of developing energy systems to support sustainable urban environments.The included case study provides a pathway to improve the eco-efficiency of urban transport, demonstrating how to design an energy efficient next generation urban navigation system by leveraging vast cloud data sets on user-behavior.Ultimately, this resource maps big data’s pivotal intersection with rapid global urbanization along the path to a sustainable future.
Price: 109.99 £ | Shipping*: 0.00 £
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Do mobile data without data volume suffice to listen to music on Spotify?
No, mobile data without a data volume will not suffice to listen to music on Spotify. Streaming music on Spotify requires a certain amount of data to be downloaded and played in real-time, so without a data volume, the music will not be able to stream properly. It is recommended to have a data plan with a sufficient data volume to enjoy uninterrupted music streaming on Spotify.
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Do mobile data without a data volume suffice to listen to music on Spotify?
Yes, mobile data without a data volume can suffice to listen to music on Spotify. However, it is important to note that streaming music on Spotify consumes data, so without a data volume, you may incur additional charges or experience slower speeds once you exceed your data limit. It is recommended to have a data plan or access to Wi-Fi for a better listening experience on Spotify.
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How much data volume does YouTube music consume?
YouTube Music consumes approximately 2-4 MB of data per minute when streaming music at standard quality. This means that an hour of streaming music on YouTube Music can consume around 120-240 MB of data. However, this data consumption can vary depending on the quality of the audio being streamed and whether the user is streaming over a mobile network or Wi-Fi.
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What is the mobile data consumption of music streaming?
The mobile data consumption of music streaming can vary depending on the quality of the audio being streamed. On average, streaming music at a standard quality of 128 kbps (kilobits per second) can consume around 0.5 MB (megabytes) of data per minute. However, streaming music at higher quality levels, such as 320 kbps, can consume up to 2 MB of data per minute. It's important for users to be aware of their data limits and adjust their streaming quality accordingly to manage their data consumption.
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Race Technology DL1 Data Logger - Sport
The DL1 Data Logger range from Race Technology is a state of the art, robust, compact data logging system suitable for all Motorsports, to monitor and improve driver and vehicle performance.The DL1 can store data from a number of sources including its built in GPS and accelerometers. One key advantage of using a high accuracy 5Hz (20Hz option) GPS system and a 3-axis accelerometer with 2g full scale (6g option recommended for high downforce cars) is that it greatly improves track mapping and gives far more accurate speed measurements and lap times. Another advantage of using GPS is that it negates the use for trackside beacons. The DL1 can also receive data from up to 8 external analogue sensors. It features a true 100Hz update rate on all channels, making it capable of detecting minute changes. Lap and sector timing are both available with a satellite overlay option on track maps (live lap and sector timing are also possible when using a Race Technology dash display).All information stored on the DL1 is done so on a removable SD card (up to 32GB) for easy downloads, as well as being output in real time for display on any Race Technology dash displays.The DL1 is supplied with the comprehensive Race Technology data analysis package for Windows. The software allows super accurate track mapping, user defined channels, powerful graphing and allows direct comparison of up to 10 data sets (races) simultaneously with almost unlimited laps.The DL1 is available in 2 Models:DL1 SPORT: The 'all rounder' DL1 data logger incorporating all the above features and functions.DL1 CLUB: It has all the features of the DL1 Sport model, plus allows the user to specify many optional extra features (at time of ordering).
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Fashion and Environmental Sustainability : Entrepreneurship, Innovation and Technology
The wide range of topics that the book covers are organised into sections reflecting a cradle to grave view of how entrepreneurial, innovative, and tech-savvy approaches can advance environmental sustainability in the fashion sector.These sections include: sustainable materials; innovation in design, range planning and product development; sustainable innovations in fashion supply chains; sustainable innovations in fashion retail and marketing; sustainable alternatives for end-of-life and circular economy initiatives; and more sustainable alternative fashion business models.
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The FinTech Revolution : Bridging Geospatial Data Science, AI, and Sustainability
In a world of unprecedented challenges and opportunities, Fintech stands as a pivotal force, at the crossroads of technology, finance, and sustainability.This book invites readers to the forefront of a revolutionary convergence, where economic growth and environmental stewardship align.Whether the reader is a decision-maker, innovator, entrepreneur, or investor within the Fintech industry, this is a guide to a future where finance and technology serve our planet. Authored by experts in GIS, AI, and remote sensing, who are also seasoned entrepreneurs, this unique work offers both theory and practical guidance, discovers sources often overlooked in ESG analytics, dives into specific, not general, KPIs for industry professionals, and navigates global regulations and frameworks with ease. Real-world case studies unveil the value of applied methods, supported by insights from leading practitioners, explore the latest developments in AI and machine learning, and uncover a step-by-step data science analysis framework.
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Race Technology Data Logger Sensors - Air Temperature
Race Technology offer a wide range of high quality sensors that we recommend for use with their data loggers, or for other autosport applications. All of their sensors are tested and calibrated to ensure their robustness and to check they will give constantly reliable results.Sensors are supplied without cables unless otherwise stated - please order cables separately if required.Options Available: Water Temperature (-40 to 130 deg C, M12x1.5mm) Oil Temperature (-40 to to 150 deg C, M12x1.5mm) Oil/Fuel Pressure (0 to 10 bar, 1/8 NPT) Air Temperature (-40 to 130 deg C, M12x12mm) Brake Pressure (0 to 250 bar, M10x1mm) Exhaust Thermocouple Amplifier (-100 to 1150 deg C) - supplied with 1.7 meter cable Wheel Speed Sensor - supplied with 4 meter cable
Price: 42.00 £ | Shipping*: 1.99 £
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Why does Spotify use data volume despite downloading music?
Spotify uses data volume even when music is downloaded because it still needs to track user interactions, such as skipping songs, creating playlists, and generating recommendations based on listening habits. This data is crucial for improving the user experience and providing personalized content. Additionally, streaming services like Spotify often update their music libraries and features, requiring an internet connection to sync changes and ensure users have access to the latest content.
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Why does Spotify consume data volume despite downloading music?
Even though music is downloaded on Spotify, the app still consumes data volume for various reasons. One reason is that Spotify continuously updates its library, playlists, and recommendations, which requires data usage. Additionally, features like album artwork, song information, and ads also contribute to data consumption. Lastly, background processes such as syncing playlists, updating offline content, and tracking user data for personalized recommendations also use data.
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Is the data consumption of Apple Music infinitely high?
No, the data consumption of Apple Music is not infinitely high. The amount of data used by Apple Music depends on factors such as the audio quality settings, the length of time spent listening, and whether the user is streaming or downloading music. By adjusting the audio quality settings and being mindful of data usage while streaming, users can control and manage their data consumption while using Apple Music.
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Can Smartwatch fitness trackers be used for recording data in airplane mode?
Yes, smartwatch fitness trackers can still record data in airplane mode. While in airplane mode, the smartwatch's basic functions like step counting, heart rate monitoring, and sleep tracking can still operate without the need for a cellular or Wi-Fi connection. However, features that require GPS tracking or syncing with a smartphone app may be limited or disabled in airplane mode. Overall, smartwatch fitness trackers can still be useful for recording data even when in airplane mode.
* All prices are inclusive of VAT and, if applicable, plus shipping costs. The offer information is based on the details provided by the respective shop and is updated through automated processes. Real-time updates do not occur, so deviations can occur in individual cases.