This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"Advances in genomic laboratory and bioinformatics techniques have allowed us to infer microbial ecology information from genomes. This ability has led to great advances in microbiome science; however, there is not yet a standard comprehensive workflow for functional annotation. Some software tools annotate metabolic functions, but the new tool 'METABOLIC' improves upon this and expands into biogeochemical pathways like the carbon cycle. METABOLIC takes sequence inputs from isolates, metagenome-assembled genomes, or single-cell genomes. The data can be processed through two workflow scales: genome and/or community. The genome-scale workflow annotates the genomes and validates motifs of conserved protein residues. It also analyzes metabolic pathways and calculates the microbial contributions to individual biogeochemical processes and cycles. The community-scale workflow adds to this by first determining the genome abundance in the microbiome..."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.

In this activity, learners use food to make simulated regolith (a fine dust that covers the moon) and observe its properties. This activity can be enhanced by sharing the "Health Hazards of Lunar Dust" Podcast with learners (see related resource link). This resource includes background information, instructions, resources and handouts for learners.

Spreadsheets Across the Curriculum/Geology of National Parks module. Students work with a color-coded conditional-formatted spreadsheet map to work through a USGS report applying a coastal vulnerability index, examining real data related to relative sea-level change for different areas of the Californian coas,t including Point Reyes National Seashore.

Students will examine data from the 1990–2010 censuses — and U.S. Census Bureau projections for 2010–2020 — on population changes in the U.S. island territories to make observations about the populations’ demographics and to make inferences about the purpose of such data.

Linear algebra concepts are key for understanding and creating machine learning algorithms, especially as applied to deep learning and neural networks. This course reviews linear algebra with applications to probability and statistics and optimization–and above all a full explanation of deep learning.

This lesson unit is intended to help you assess how well students are able to: Calculate the mean, median, mode, and range from a frequency chart; and to use a frequency chart to describe a possible data set, given information on the mean, median, mode, and range.

Students experience data collection, analysis and inquiry in this LEGO® MINDSTORMS® NXT -based activity. They measure the position of an oscillating platform using a ultrasonic sensor and perform statistical analysis to determine the mean, mode, median, percent difference and percent error for the collected data.

In this unit, students will read and interpret primary sources to address the question “How do we measure the attainment of human rights?” By exploring the Universal Declaration of Human Rights, the UN’s Guide to Indicators of Human Rights, and data about development indicators from multiple databases, students will unpack the complexities of using indicators to measure human rights.

This model-eliciting activity challenges students to operationally define a construct (study effectiveness). Students are given a survey to review that rates different aspects of study behaviors. They are then given a set of data for a few students and asked to use their scores to determine an index of study effectiveness. After determining a method, they are then asked to use this index to put five students in rank order according to their scores on study effectiveness. Students write a report explaining the method they used to determine these scores and how they produced their ratings.

This set of assignments exposes students to statistics and data pertaining to economic wellbeing over time across racial (black-white) categories in the U.S.

This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"The laboratory and computational tools available to microbiome researchers have greatly improved in recent years, especially in assembling genomes from complex communities. Most of the research to date has focused on macrodiversity, which is classical ecology metrics like population abundance, α-diversity, and β-diversity. But microdiversity — population genetics metrics like single nucleotide polymorphisms (SNPs) and selective pressures — is important to consider. There are several technical and accessibility issues that hinder widespread analysis of microdiversity in metagenomic datasets, but the recently developed open-access software tool MetaPop is designed to close this gap. MetaPop provides a user-friendly interface to analyze both the macro- and microdiversity of microbial and viral community metagenomes. For small datasets, MetaPop can be run on a laptop, making it a practical choice for non-bioinformaticians or labs without access to high-powered computing..."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.

Spreadsheets Across the Curriculum/Geology of National Parks module. Students calculate the amount of rock removed and the value of copper produced at the great Keweenaw District up to 1925.

This engineering design challenge is a great hands-on activity that utilizes the engineering design process, 3D modeling, and 3D printing technology. The challenge can be completed individually or in groups of 2 to 3. Students will work to complete the following challenge: Using the design process, design, document, model, and produce a toy car with interchangeable parts.

This engineering design challenge is a great hands-on activity that utilizes the engineering design process, 3D modeling, and 3D printing technology. The challenge can be completed individually or in groups of 2 to 3. Students will work to complete the following challenge: Using the design process, design, document, model, and produce a toy car with interchangeable parts.

This engineering design challenge is a great hands-on activity that utilizes the engineering design process, 3D modeling, and 3D printing technology. The challenge can be completed individually or in groups of 2 to 3. Students will work to complete the following challenge: Using the design process, design, document, model, and produce a toy car with interchangeable parts.

This engineering design challenge is a great hands-on activity that utilizes the engineering design process, 3D modeling, and 3D printing technology. The challenge can be completed individually or in groups of 2 to 3. Students will work to complete the following challenge: Using the design process, design, document, model, and produce a toy car with interchangeable parts.

This engineering design challenge is a great hands-on activity that utilizes the engineering design process, 3D modeling, and 3D printing technology. The challenge can be completed individually or in groups of 2 to 3. Students will work to complete the following challenge: Using the design process, design, document, model, and produce a toy car with interchangeable parts.

This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"Medicine has a big data problem. National healthcare registries provide invaluable data about patients and the reasons why they visit clinics and hospitals. Unfortunately, there’s so much of it, and relatively little has been done to organize it in a way that’s meaningful for understanding patient experiences. That makes probing by traditional research methods virtually impossible. How are researchers addressing this problem? One team has drawn inspiration from genomics. Using an algorithm routinely applied to study co-expression patterns of multiple genes, they’ve identified patterns in the circumstances surrounding people experiencing a traumatic brain injury. This approach could help clinicians spot markers of an impending injury before it happens. The team started with population-wide healthcare data spanning 9 year for residents of Ontario, Canada..."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.

Students will examine tables of data from the 1820 Census to understand the implications of the Missouri Compromise, specifically in Maine and Missouri.

The purpose of this activity is to introduce students to the Missouri Compromise and the issues associated with the expansion of slavery in the Antebellum period of United States history. Students will begin the activity by creating a map that represents the Missouri Compromise’s impact on the United States. This map will serve as a backdrop for the activity while introducing students to political and cultural sectionalism (northern and southern states and the issue of slavery) in the early 1800s. After students complete the map, they will answer several questions using it. Students will also be prompted to examine aggregated data from the 1820 Census and a map titled “Mapping Slavery in the Nineteenth Century” to make comparisons and draw conclusions about slavery, specifically in Missouri.