Java Data Object

In the ninth DATA Set adventure, the kids blast off into outer space!When Laura hears a strange but familiar buzzing coming from her radio, she instantly knows who's trying to get in touch. It's none other than Fave, the DATA Set's alien friend who crashed down on Earth! The kids excitedly decode the message but learn that Fave is in trouble! Join the kids as they suit up and blast off into the galaxy on a mission to help an old friend. With easy-to-read language and illustrations on almost every page, the DATA Set chapter books are perfect for emerging readers.

A wildly imaginative story by the acclaimed author-illustrator Shinsuke Yoshitake Have you ever wanted something that was just yours? Not someone else's hand-me-down... Not something that you had to share... Not something that you could only borrow for a little while...Something that was yours and yours alone to play with, to dream about, and more... It's My Rubber Band explores how a cherished everyday object can become a catalyst for curiosity, play and a profound sense of connection. With a special object of one's very own, the possibilities are as limitless as the imagination!

Jack and George are resting quietly when BOOM! A huge and strange ball lands beside them. "What's that, Jack?" "I don't know, George. Maybe it's a rock?" No-too soft.But it rolls. Fast! Jack, George and the ball roll right off the cliff and now it's a parachute. But watch out, they're going to land in the river...Jack and George have a brilliant day full of adventure with this object that changes with the landscape. But what is it? It doesn't matter, it was fun trying to figure it out. This bright and funny book is a game of twists and turns, with a joyful refrain and vivid artwork to capture every toddler's imagination.

Clever's popular board book series continues with Guess What's for Christmas, which invites young readers to learn all about Christmas. Each full-page spread introduces a new holiday theme, from exploring Santa's workshop to baking festive treats, finding gifts under the Christmas tree, and playing in thesnow. Each turn of the page provides a new, engaging activity that will keep kids entertained. Every flap contains a clue for children to figure out, with the answer hiding under the flap.Each spread contains 7 flaps with clues about the object that's hidden beneath.Kids will love engaging in this guessing game while learning at the same time.With adorable, full-color illustrations throughout, Guess What's for Christmas is the perfect interactive book for children who love guessing games, and an ideal introduction to all things related to Christmas.

The bestselling Cupcake Diaries series is now available in graphic novel format! In this adaptation of the fourth book,Alexis struggles to fit the messiness of a crush in with her orderly lifestyle.Alexis Becker is by far the most prepared, exact, and organized Cupcake Club member, which is why she’s in charge of the business end of the club. But when she suddenly develops a major crush on Matt Taylor—her BFF Emma’s brother—things get a little disorganized. Alexis decides to figure her way around this strange new feeling the way she figures out everything else: by conducting research, collecting data, and setting a goal. Is there a perfect recipe for love? Alexis is ready to find out!Fun, bright, full-color graphic panels tell the story with the same humor and heart as the original novel.

It’s fun to be smart! These two illustration-based card decks are packed with early learning questions that promote language development, cognitive growth, and social skills for fifth graders.Loved by kids, teacher approved, and trusted by parents, Brain Quest For Twos question-and-answer cards help children explore and talk about daily routines, seasonal activities, and outings as they identify objects, shapes, colors, and more! In a set of two decks, Brain Quest For Twos features hundreds of questions to help kids learn exactly what they need to know, when they need to know it.Featuring:Two full-color Q&A decks in a reusable flip-top storage boxA parent guide to help maximize the learning and funOver 300 questions covering colors, counting, object identification, shapes, and moreWhat’s New?New content: Twenty-two brand-new cards added!Technology questions: Introduce children to the basics of computers and technologyExpanded social and emotional learning: Explores feelings and int

Discover a world of wonder on a farmyard walk, with this beautiful picture book from the National Trust.Today we’re on the farm. Let’s go!Past the gate where daisies grow . . .Look what I found!A tuft of sheep’s wool, soft as a woolly jumper.Set off on a farmyard adventure to find natural treasure, from a fluffy chick feather to a broken eggshell, then learn more about the found object with irresistibly illustrated and informative nature notes.Packed full of fascinating facts alongside a gentle rhyming narrative and encouraging children to get outside and explore their surroundings, this is a nature treasure hunt series for the whole family to treasure!Other titles in the series include: Look What I Found in the Woods and Look What I Found at the SeasideEvery Nosy Crow paperback picture book comes with a free ‘Stories Aloud’ audio recording – just scan the QR code and listen along!

The sixth book in a thrilling, magical, and action-packed new fantasy series, illustrated throughout and perfect for 7-9 year olds!In the land of Draconis, there are no dragons.Once, there were. Once, humans and dragons were friends, and created the great city of Rivven together.But then came the Dragon Storm, and the dragons retreated from the world of humans.To the men and women of Draconis, they became legends and myth.When Erin and her dragon Rockhammer get into a fight with another dragonseer, they’re sent away to Stillness. There they discover the Solace Stone, a magical object that creates calm.In the peace of Stillness, Erin almost forgets that she can’t summon her dragon Rockhammer. But when mysterious soldiers storm Stillness, destroying her home in the process, Erin must find a way or risk being trapped forever…An exciting new fantasy series from the highly acclaimed author of Orion Lost, brilliantly illustrated throughout, and perfect for fans of Beast Quest and How to Trai

"Beautifully messy and real." -Amy Spalding, bestselling author of We Used to Be FriendsPerfect for fans of What If It's Us and Mary H. K. Choi, this stunning coming-of-age novel from Printz Honor author Mary McCoy follows a Memphis teen whose quest to uncover the secrets of love reveals new truths about herself. For the past two years, Lee has been laser-focused on two things: her job as a sound tech at a local coffee shop and her podcast Artists in Love, which she cohosts with her boyfriend Vincent. Until he breaks up with her on the air right after graduation. When their unexpected split, the loss of her job, and her parent's announcement that they're separating coincide, Lee's plans, her art, and her life are thrown into turmoil. Searching for a new purpose, Lee recruits her old friend Max and new friend Risa to produce a podcast called Objects of Destruction, where they investigate whether love actually exists at all. But the deeper they get into the love stories around th

日本繪本系列《Sato the Rabbit》第三集，Sato再次帶領讀者進入充滿想像的日常旅程。雪地、森林，甚至茶水組成的海洋，都是他探險的舞台；一個剛出爐的派裡，也可能藏著另一個小小世界。作者用簡潔溫柔的圖像，描繪出萬物蘊藏的生命力與微小中的魔法，提醒我們，平凡生活中處處都是值得細看的驚喜與想像空間。The winsome Sato continues his magical adventures, traversing snowy landscapes and crossing a sea made of tea. Yet, no matter where he ventures, his participation in the natural world, and the magic that he finds within the ordinary, infuse each new day with possibility.In this third installment of the whimsical series originally published in Japan, the titular Sato continues his adventures, exploring both expansive landscapes―snowy fields, forests, oceans made of tea―and tiny microcosms of worlds, found in unlikely places―like within a freshly-baked pie! In Sato's reality, which is in many ways similar to our own, seemingly commonplace occurrences are portals to new and fantastical experiences, and every object possesses an intrinsic magic and aliveness. Like all of the installments in the trilogy, this collection of vignettes reminds

A proposal that we think about digital technologies such as machine learning not in terms of artificial intelligence but as artificial communication.Algorithms that work with deep learning and big data are getting so much better at doing so many things that it makes us uncomfortable. How can a device know what our favorite songs are, or what we should write in an email? Have machines become too smart? In Artificial Communication, Elena Esposito argues that drawing this sort of analogy between algorithms and human intelligence is misleading. If machines contribute to social intelligence, it will not be because they have learned how to think like us but because we have learned how to communicate with them. Esposito proposes that we think of “smart” machines not in terms of artificial intelligence but in terms of artificial communication.To do this, we need a concept of communication that can take into account the possibility that a communication partner may be not a human being but an al

Functional and concurrent programming paradigms can help experienced object-oriented developers write high-quality software faster: code that's easier to understand, debug, optimize, and evolve. But these approaches have often been surrounded by mystification and misconceptions, leading many developers to avoid them. In Functional and Concurrent Programming, Michel Charpentier clears away the confusion, showing how to use these features safely and well, so you can gain their benefits without their pitfalls. Writing for developers with some object-oriented experience in Java, C++, C#, Python, or elsewhere, Charpentier teaches key concepts through the use of realistic, modern examples: code written in Scala, but relevant to users of any modern object-oriented language. As a hybrid language, Scala can be used effectively to illustrate both object-oriented and functional programming; it offers advanced features for concurrency; and it interoperates with Java, and can use many components of

How to use data as a tool for empowerment rather than oppression.Big data can be used for good, from tracking disease to exposing human rights violations, and for bad, implementing surveillance and control. Data inevitably represents the ideologies of those who control its use; data analytics and algorithms too often exclude women, the poor, and ethnic groups. In Data Action, Sarah Williams provides a guide for working with data in more ethical and responsible ways. Williams outlines a method that emphasizes collaboration among data scientists, policy experts, data designers, and the public. The approach generates policy debates, influences civic decisions, and informs design to help ensure that the voices of people represented in the data are neither marginalized nor left unheard.

Much of the statistical information currently produced by federal statistical agencies - information about economic, social, and physical well-being that is essential for the functioning of modern society - comes from sample surveys. In recent years, there has been a proliferation of data from other sources, including data collected by government agencies while administering programs, satellite and sensor data, private-sector data such as electronic health records and credit card transaction data, and massive amounts of data available on the internet. How can these data sources be used to enhance the information currently collected on surveys, and to provide new frontiers for producing information and statistics to benefit American society? Toward a 21st Century National Data Infrastructure: Enhancing Survey Programs by Using Multiple Data Sources, the second report in a series funded by the National Science Foundation, discusses how use of multiple data sources can improve the quality

With easy-to-read language and illustrations on almost every page, the DATA Set chapter books are perfect for emerging readers.March of the Mini Beasts (The DATA Set #1)Don't Disturb the Dinosaurs (The DATA Set #2)The Sky Is Falling (The DATA Set #3)Robots Rule the School (The DATA Set #4)A Case of the Clones (The DATA Set #5)Invasion of the Insects (The DATA Set #6)Out of Remote Control (The DATA Set #7)Down the Brain Drain (The DATA Set #8)S.O.S. From Outer Space (The DATA Set #9)Revenge of Dr. von Naysayer (The DATA Set #10)A Little Snow Must Fall (The DATA Set #11)

This commentary covers all topics and critical aspects elicited by the new European General Data Protection Regulation and its interpretation. The commentary focuses on the regulation itself, including cross-references to further provisions (eg the Police and Criminal Justice Data Protection Directive, the E-Privacy-Directive or the former Data Protection Directive 95/46/EC).Article by article the purpose of a provision is classified, its background, function and structure analysed and its content interpreted. The commentary provides an independent view of all topics, presenting both an overview and specific interpretation that provide far-reaching arguments.The editors and authors are outstanding experts in the field of data protection law well known for their practical as well as structured and thorough approach to data protection issues. They offer suitable solutions and sound arguments especially for international companies, legal councils and corporate lawyers as well as data prot

This new volume addresses the growing interest in and use of big data analytics in many industries and in many research fields around the globe; it is a comprehensive resource on the core concepts of big data analytics and the tools, techniques, and methodologies. The book gives the why and the how of big data analytics in an organized and straightforward manner, using both theoretical and practical approaches.The book's authors have organized the contents in a systematic manner, starting with an introduction and overview of big data analytics and then delving into pre-processing methods, feature selection methods and algorithms, big data streams, and big data classification. Such terms and methods as swarm intelligence, data mining, the bat algorithm and genetic algorithms, big data streams, and many more are discussed. The authors explain how deep learning and machine learning along with other methods and tools are applied in big data analytics. The last section of the book presents

The Hands-On, Example-Rich Introduction to Pandas Data Analysis in Python Today, analysts must manage data characterized by extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly automate and perform virtually any data analysis task, no matter how large or complex. Pandas can help you ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Pandas for Everyone brings together practical knowledge and insight for solving real problems with Pandas, even if you're new to Python data analysis. Daniel Y. Chen introduces key concepts through simple but practical examples, incrementally building on them to solve more difficult, real-world problems. Chen gives you a jumpstart on using Pandas with a realistic dataset and covers combining datasets, handling missing data, and structuring datasets for easier analysis and visualization. He demonstrates powerful dat

Social media has put mass communication in the hands of normal people on an unprecedented scale, and has also given social scientists the tools necessary to listen to the voices of everyday people around the world. This book gives social scientists the skills necessary to leverage that opportunity, and transform social media's vast stream of information into social science data. The book combines the big data techniques of computer science with social science methodology. Intended as a text for advanced undergraduates, graduate students, and researchers in the social sciences, this book provides a methodological pathway for scholars who want to make use of this new and evolving source of data. It provides a framework for building one's own data collection and analysis infrastructure, a toolkit of content analysis, geographic analysis, and network analysis, and meditations on the ethical implications of social media data.

Social media has put mass communication in the hands of normal people on an unprecedented scale, and has also given social scientists the tools necessary to listen to the voices of everyday people around the world. This book gives social scientists the skills necessary to leverage that opportunity, and transform social media's vast stream of information into social science data. The book combines the big data techniques of computer science with social science methodology. Intended as a text for advanced undergraduates, graduate students, and researchers in the social sciences, this book provides a methodological pathway for scholars who want to make use of this new and evolving source of data. It provides a framework for building one's own data collection and analysis infrastructure, a toolkit of content analysis, geographic analysis, and network analysis, and meditations on the ethical implications of social media data.

This book assesses data protection rules that are applicable to the processing of personal data in a law enforcement context. It offers the first extensive analysis of the LED and Regulation (EU) 2018/1725. It illustrates the challenges arising from the unclear delineation between the different data protection instruments at both national and EU level. Taking a practical approach, it exemplifies situations where the application of data protection instruments could give rise to a lowering of data protection standards where the data protection rules applicable in the law enforcement context are interpreted broadly. The scope of data protection instruments applied by law enforcement authorities impacts processing for purposes of border control, migration management and asylum because there is an unclear delineation between the different data protection instruments.

A veteran British journalist living in Hong Kong investigates the disappearance of a student protester in this atmospheric novel from the New York Times notable author of The Forgiven―soon to be a major motion picture.“There came a sound of rubber bullets being fired along Java Road and the sad crowing of sirens as if to herald a future even more unpleasant than the present.”After twenty years as a journalist in Hong Kong, ex-pat Englishman Adrian Gyle has very little to show for it. Evenings are whiled away with soup dumplings and tea at Fung Shing, the restaurant downstairs from his home on Java Road, that “most melancholy street in the city, the street where the dead congregated.” It is through these jaded eyes that Gyle watches the city around him--once overflowing with wine dinners and private members’ clubs--erupt in violence as pro-democracy demonstrations hit ever closer to home. But just as Gyle prepares to turn his back on Hong Kong, he finds one last intrigue: the alluring R

Health research around the world relies on access to data, and much of the most valuable, reliable, and comprehensive data collections are held by governments. These collections, which contain data on whole populations, are a powerful tool in the hands of researchers, especially when they are linked and analyzed, and can help to address “wicked problems” in health and emerging global threats such as COVID-19. At the same time, these data collections contain sensitive information that must only be used in ways that respect the values, interests, and rights of individuals and their communities. Sharing Linked Data for Health Research provides a template for allowing research access to government data collections in a regulatory environment designed to build social license while supporting the research enterprise.

An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep lLearning. Over the last decade, the exponential explosion of data known as big data has changed the way we understand and harness the power of data. The emerging field of high-performance big data computing, which brings together high-performance computing (HPC), big data processing, and deep learning, aims to meet the challenges posed by large-scale data processing. This book offers an in-depth overview of high-performance big data computing and the associated technical issues, approaches, and solutions. The book covers basic concepts and necessary background knowledge, including data processing frameworks, storage systems, and hardware capabilities; offers a detailed discussion of technical issues in accelerating big data computing in terms of computation, communication, memory and storage, codesign, workload characterization and benchmarking, and system deplo

A textbook that uses a hands-on approach to teach principles of programming languages, with Java as the implementation language.This introductory textbook teaches the principles of programming languages by using an experiential learning style, in which students learn about language features by realizing those features in a pedagogical compiler. Students use Java―the most commonly used programming language in the first two years of the computer science curriculum―as the implementation language throughout. The book also discusses a range of emerging topics in programming languages missing from existing textbooks, including concurrency, Big Data, and event-driven programming. The goal is to prepare students to design, implement, analyze, and understand both domain-specific and general-purpose programming languages. The book first develops basic concepts in languages, including means of computation using primitive values, means of combination such as variable definition and functions, an

How to analyze data settings rather than data sets, acknowledging the meaning-making power of the local. In our data-driven society, it is too easy to assume the transparency of data. Instead, Yanni Loukissas argues in All Data Are Local, we should approach data sets with an awareness that data are created by humans and their dutiful machines, at a time, in a place, with the instruments at hand, for audiences that are conditioned to receive them. The term data set implies something discrete, complete, and portable, but it is none of those things. Examining a series of data sources important for understanding the state of public life in the United States--Harvard's Arnold Arboretum, the Digital Public Library of America, UCLA's Television News Archive, and the real estate marketplace Zillow--Loukissas shows us how to analyze data settings rather than data sets.Loukissas sets out six principles: all data are local; data have complex attachments to place; data are collected from heterogen

As the world becomes increasingly connected, it is also more exposed to a myriad of cyber threats. We need to use multiple types of tools and techniques to learn and understand the evolving threat landscape. Data is a common thread linking various types of devices and end users. Analyzing data across different segments of cybersecurity domains, particularly data generated during cyber-attacks, can help us understand threats better, prevent future cyber-attacks, and provide insights into the evolving cyber threat landscape. This book takes a data oriented approach to studying cyber threats, showing in depth how traditional methods such as anomaly detection can be extended using data analytics and also applies data analytics to non-traditional views of cybersecurity, such as multi domain analysis, time series and spatial data analysis, and human-centered cybersecurity.

Now in its fourth edition, this comprehensive introduction of fundamental panel data methodologies provides insights on what is most essential in panel literature. A capstone to the forty-year career of a pioneer of panel data analysis, this new edition's primary contribution will be the coverage of advancements in panel data analysis, a statistical method widely used to analyze two or higher-dimensional panel data. The topics discussed in early editions have been reorganized and streamlined to comprehensively introduce panel econometric methodologies useful for identifying causal relationships among variables, supported by interdisciplinary examples and case studies. This book, to be featured in Cambridge's Econometric Society Monographs series, has been the leader in the field since the first edition. It is essential reading for researchers, practitioners and graduate students interested in the analysis of microeconomic behavior.

An integrated introduction to data visualization, strategic communication, and delivery best practices.Persuading with Data provides an integrated instructional guide to data visualization, strategic communication, and delivery best practices. Most books on data visualization focus on creating good graphs. This is the first book that combines both explanatory visualization and communication strategy, showing how to use visuals to create effective communications that convince an audience to accept and act on the data. In four parts that proceed from macro to micro, the book explains how our brains make sense of graphs; how to design effective graphs and slides that support your ideas; how to organize those ideas into a compelling presentation; and how to deliver and defend data to an audience. Persuading with Data is for anyone who has to explain analytical results to others. It synthesizes a wide range of skills needed by modern data professionals, providing a complete toolkit for cr

Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets.Human-centered data science is a new interdisciplinary field that draws from human-computer interaction, social science, statistics, and computational techniques. This book, written by founders of the field, introduces best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of very large datasets. It offers a brief and accessible overview of many common statistical and algorithmic data science techniques, explains human-centered approaches to data science problems, and presents practical guidelines and real-world case studies to help readers apply these methods. The authors explain how data scientists’ choices are involved at every stage of the data science workflow―and show how a human-centered approach can enhance each one, by making the process more transparent, aski

Who, if anyone, should regulate the internet? Governments around the world have answered this question robustly: they will. Digital sovereignty--the exercise of control over the internet--is the ambition of world leaders as a natural extension of traditional sovereignty and as a bulwark against the reach of foreign power. The question posed to governments now is not who should regulate the internet, but how should it be done. Data Sovereignty: From the Digital Silk Road to the Return of the State focuses on the question of territorial control over data flows and attempts by national and regional governments to place limits on the free movement of data across a global internet. Drawing on theories in political economy, international law, human rights, and data protection, this volume offers new theoretical perspectives and thought-provoking ideas about the nature and scope of digital sovereignty. It examines the extent to which new technologies, such as artificial intelligence, robotics

Learn How to Better Understand Distributed System Design and Solve Common Problems Enterprises today rely on a range of distributed software handling data storage, messaging, system management, and compute capability. Distributed system designs need to be implemented in some programming language, and there are common problems that these implementations need to solve. These problems have common recurring solutions. A patterns approach is very suitable to describe these implementation aspects. Patterns by nature are generic enough to cover a broad range of products from cloud services like Amazon S3 to message brokers like Apache Kafka to infrastructure frameworks like Kubernetes to databases like MongoDB or Actor frameworks like Akka. At the same time the pattern structure is specific enough to be able to show real code. The beauty of this approach is that even if the code structure is shown in one programming language (Java in this case), the structure applies to many other programming

Designed for advanced undergraduate or non-major graduate students in Advanced Statistical Modeling or Regression II as well as courses on Generalized Linear Models, Longitudinal Data Analysis, Correl

In the tenth DATA Set adventure, the kids must choose sides in the battle between Dr. Bunsen and Dr. von Naysayer!Dr. Bunsen goes up against his ultimate nemesis, Dr. von Naysayer to settle their long-standing feud, once and for all. May the best mad scientist win!With easy-to-read language and illustrations on almost every page, the DATA Set chapter books are perfect for emerging readers.

This book analyses the phenomenon of digitally mediated property and considers how it problematises the boundary between human and nonhuman actors. The book addresses the increasingly porous border between personhood and property in digitized settings and considers how the increased commodification of knowledge makes visible a rupture in the liberal concept of the property owning, free, person. Engaging with the latest work in posthumanist and new materialist theory, it shows, how property as a concept as well as a means for control, changes fundamentally under advanced capitalism.Such change is exemplified by the way in which data, as an object of commodification, is extracted from human activities yet is also directly used to affectively control - or nudge - humans. Taking up a range of human engagements with digital platforms and coded architectures, as well as the circulation of affects through practices of artificial intelligence that are employed to shape behaviour, the book argu

This text provides deep and comprehensive coverage of the mathematical background for data science, including machine learning, optimal recovery, compressed sensing, optimization, and neural networks. In the past few decades, heuristic methods adopted by big tech companies have complemented existing scientific disciplines to form the new field of Data Science. This text embarks the readers on an engaging itinerary through the theory supporting the field. Altogether, twenty-seven lecture-length chapters with exercises provide all the details necessary for a solid understanding of key topics in data science. While the book covers standard material on machine learning and optimization, it also includes distinctive presentations of topics such as reproducing kernel Hilbert spaces, spectral clustering, optimal recovery, compressed sensing, group testing, and applications of semidefinite programming. Students and data scientists with less mathematical background will appreciate the appendice

Data assimilation is a hugely important mathematical technique, relevant in fields as diverse as geophysics, data science, and neuroscience. This modern book provides an authoritative treatment of the field as it relates to several scientific disciplines, with a particular emphasis on recent developments from machine learning and its role in the optimisation of data assimilation. Underlying theory from statistical physics, such as path integrals and Monte Carlo methods, are developed in the text as a basis for data assimilation, and the author then explores examples from current multidisciplinary research such as the modelling of shallow water systems, ocean dynamics, and neuronal dynamics in the avian brain. The theory of data assimilation and machine learning is introduced in an accessible and unified manner, and the book is suitable for undergraduate and graduate students from science and engineering without specialized experience of statistical physics.

Chunyan Li is a course instructor with many years of experience in teaching about time series analysis. His book is essential for students and researchers in oceanography and other subjects in the Earth sciences, looking for a complete coverage of the theory and practice of time series data analysis using MATLAB. This textbook covers the topic's core theory in depth, and provides numerous instructional examples, many drawn directly from the author's own teaching experience, using data files, examples, and exercises. The book explores many concepts, including time; distance on Earth; wind, current, and wave data formats; finding a subset of ship-based data along planned or random transects; error propagation; Taylor series expansion for error estimates; the least squares method; base functions and linear independence of base functions; tidal harmonic analysis; Fourier series and the generalized Fourier transform; filtering techniques: sampling theorems: finite sampling effects; wavelet

The DATA Set 十冊合輯，收錄這群熱愛科學、腦筋靈活的小學生最瘋狂的冒險！Newtonburg 小學的 Gabe、Laura、Cesar 與 Olive，自稱「DATA Set」，當他們發現鄰居 Dr. Bunsen 是位瘋狂科學家後，意外捲入一連串實驗失控事件。從被喚醒的動物玩具、穿越到史前時代、外星人造訪，到複製人、巨型昆蟲與機器人暴走，這些麻煩接連不斷。幸運的是，孩子們憑著機智與團隊合作，總能化險為夷。故事輕快幽默、節奏明快，搭配大量插圖，適合喜歡冒險與科學題材的年輕讀者。Dive into the wacky adventures of a scientifically minded group of friends in the first ten books of The DATA Set chapter book series, now available in one paperback boxed set! Danger! Action! Trouble! Adventure! All that and more await Newtonburg Elementary's whiz kids Gabe, Laura, Cesar, and Olive when they discover their reclusive next-door neighbor, Dr. Bunsen, is a mad scientist. Lucky for him, the DATA Set are quick thinkers and willing to help out when his inventions and experiments go awry. Together, they deal with animal toys brought to life, find themselves stuck in the prehistoric era, have an extraterrestrial encounter, and so much more in this ten book collection! This zany paperback boxed set includes: March of the Mini BeastsDon