Digital library
Textbooks, references and open learning resources.
External
The OER Starter Kit for Program Managers
Abbey K. Elder, Stefanie Buck, Jeff Gallant, Marco Seiferle-Valencia, and Apurva Ashok · rebus Foundation
In the contents: 07: Collecting and Reporting Data · 7.01: Data Collection and Strategies for OER Programs
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The Story of Earth - An Observational Guide
Daniel Hauptvogel and Virginia Sisson · University of Houston
Our goal in creating the material for this lab manual was to focus heavily on students making observations of geologic data, whether rocks, minerals, fossils, maps, graphs, and other things. We want students to look at things and wonder why, how, and when. The exercises and examples used in this book are scattered throughout the world. We wanted to make sure that one region of the world was not the sole focus of this work.
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Archaeology: It's More Than Digging In The Dirt
Crystal Scheib · HACC, Central Pennsylvania's Community College
This textbook will help you better understand archaeology and how it acquires knowledge about humans based solely on the material culture of the people being studied. You’ll learn how archaeologists do fieldwork and analyze human behaviors and patterns. Additionally, you’ll see how archaeologists use multiple types of data and evidence to draw conclusions about how humans have lived and adapted to the environment.
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GIS Commons: An Introductory Textbook on Geographic Information Systems
Michael Schmandt · Sacramento State University
In the contents: 1.06: Data Model · 02: Data Input · 2.02: Phase 1- GIS Database Design
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Data Structures
Wikipedia · LibreTexts
This book is about the creation and analysis of efficient data structures. To understand the material in this book you should be comfortable enough in a programming language to be capable of working with and writing your own variables, arithmetic expressions, if-else conditions, loops, subroutines (also known as functions), pointers (also known as references or object handles), structures (also known as records or classes), simple input and output, and simple recursion.
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Investigations in Weather and Climate
Neel Desai and Alicia Mullens · De Anza College
In the contents: 1.05: Vertical Atmosphere data charts
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Think Data Structures - Algorithms and Information Retrieval in Java
Allen B. Downey · Olin College
In the contents: 3.04: Linked Data Structures · 8.01: Data structure selection · 14.04: Redis data types
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Clinical Hematology Atlas: A Pictorial Guide for the Hematology Laboratory (Taylor and Doty)
Caroline Doty and Dawn Taylor · Oregon Institute of Technology
In Medical Laboratory Science (MLS) Hematology courses, students learn to evaluate normal and abnormal blood cell morphology through microscopic examination of blood smears. They learn to interpret results and correlate with other laboratory data to identify hematologic disorders. Note: this textbook is still evolving and should be considered a work in progress; new images will be added in the future.
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Molecular Genetics 4606
Helen Chamberlin · The Ohio State University
In the contents: 25.05: Inferring Recombination From Genetic Data
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Introduction to Bioinformatics
Rohan Mehta · Elmhurst University
An introduction to the principles behind and practice of bioinformatics: the science of interpreting and analyzing biological information. This course covers concepts behind genomic, transcriptomic, and proteomics analysis, as well as data processing and visualization. This course also provides an introduction to the R programming language and the unix shell as well as a variety of commonly-used bioinformatics software packages.
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Library Research Skills for First Year Seminar Students
Kara Blizzard · University of Alberta
This series of modules introduces students to library services and introductory research skills, including finding specific books and articles, choosing a research topic, searching for information using library databases, and citing information sources.
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Computer Science from the Bottom Up
Ian Wienand · Red Hat
Computer science is often taught from the "top down"; applications, high level programming, software design and development theory, possibly data structures. Students will probably be exposed to binary, hopefully binary logic, possibly even some low level concepts such as registers, opcodes and the like at a superficial level. This book aims to move in completely the opposite direction, working from operating systems fundamentals through to how those applications are complied and executed.
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Oceans of Data
Tasha Gownaris · Gettysburg College
In the contents: 01: Our Oceans and Oceanographic Data · 1.04: How are data about the ocean collected · 1.05: How are oceanographic data displayed
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Programming Fundamentals - A Modular Structured Approach, 2ed.
Kenneth Leroy Busbee and Dave Braunschweig · LibreTexts
In the contents: 02: Data and Operators · 2.05: Practice- Data and Operators · 2.07: Data Types
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SMC: Social Sciences Statistics
Bettina Spencer · Saint Mary's College
In the contents: 1.3: Presentation of Data · 02: Sampling and Data · 2.3: Data, Sampling, and Variation in Data and Sampling
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Rhetoric and Composition
Becky Rudd · Citrus College
In the contents: 5.03: Writing in the Sciences · 7.10: Writing in the Sciences · 7.15: Assignment Sheet Database
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Observation and Assessment in Inclusive Early Childhood Education
Michelle Sands · Northern Illinois University
In the contents: 5.01: Taking the First Step - Gathering Baseline Data
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Messages that Matter: Public Speaking in the Information Age 3e
Josh Misner and Geoff Carr · North Idaho College
In the contents: 4.02: Collecting Audience Data
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Introductory Sociology 3e
OpenStax · LibreTexts
This text aligns to the topics and objectives of many introductory sociology courses. It is arranged in a manner that provides foundational sociological theories and contexts, then progresses through various aspects of human and societal interactions. The new edition is focused on driving meaningful and memorable learning experiences related to critical thinking about society and culture and includes coverage of core concepts, discussions and data relevant to a diverse audience.
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The Science of Psychology
Michael Miguel · Coalinga College
In the contents: 01: The Science of Psychology · 1.01: Prelude to the Science of Psychology · 1.03: Understanding Science