QUBES will have scheduled maintenance work on Tuesday, December 17, 2024, beginning sometime between 5 pm PST and 11:59 pm PST, with downtime lasting approximately 30 minutes. All running tool sessions will expire during the maintenance window. Please plan accordingly and we do apologize for any inconvenience. close

If you are interested in implementing a BCEENET CURE and would like peer support and free training, please reach out to bceenetwork@gmail.com 

 

BCEENET CUREs 

Include teaching guides, schedules, assignments, and more!

Sexual Dimorphism CURE: Exploring Melanized Wing Patterns of Pieridae Butterflies

Paula A Trillo, Elissa Suphapun Sorojsrisom, Carly N. Jordan, Janice L. Krumm

Version: 1.0

Teach a Course-based Undergraduate Research Experience (CURE) using digitized natural history collections data to test hypotheses on sexually dimorphic wing melanization patterns of Pieris rapae butterflies. This inclusive CURE can be implemented in in-person, online, and hybrid formats, synchronously or asynchronously, and requires only student access to a computer and the internet.
data analysis, morphology, idigbio, sexual dimorphism, data management, ImageJ, sexual selection, natural history collections, butterfly, course-based research experiences (CUREs), digitized natural history collections, QGIS, morphometrics, BCEENET, georeferencing
2.0K
3.0K
0
0
08.2022

Distributions CURE- Exploring Species Distribution Changes and their Drivers

Tiffany Marie Doan, Tanya Dewey, John Carroll, Liz Alter

Version: 1.0

This course-based undergraduate research experience (CURE) uses digitized natural history collections data to answer questions about species distributions and their drivers. This inclusive CURE can be implemented in in-person, online, and hybrid formats, synchronously or asynchronously, and requires only student access to a computer and the internet.
Evolution, ecology, idigbio, data management, #iNaturalist, course based undergraduate research experiences, human impacts, species distributions, course-based research experiences (CUREs), digitized natural history collections, QGIS, BCEENET, georeferencing
2.5K
2.3K
0
0
08.2022

 

BCEENET Core Teaching Modules

Standalone activities that are used in multiple BCEENET CUREs

Putting specimens on the map: An introduction to georeferencing

Elissa Sorojsrisom, Matthew Johnson

Version: 1.0

Use GEOLocate to assign geographic coordinates to natural history collections specimens
mapping, natural history collections, course-based research experiences (CUREs), digitized natural history collections, georeferencing
1.7K
1.5K
0
0
03.2022

Mapping Specimen Occurrence Data in QGIS

Cecily Bronson

Version: 2.0

Use digitized natural history collection occurrence data from the Global Biodiversity Information Facility (GBIF) to map the distribution of the beaver in the state of Oregon from 1800-2020 using QGIS
natural history collections, species distributions, course-based research experiences (CUREs), digitized natural history collections, QGIS
721
347
0
0
07.2023

Spatial Analysis with QGIS

Ryan Kerney, Timothy Whitfeld

Version: 1.0

Map specimen data points using QGIS, connect them to form a polygon using the Concave Hull plugin, and calculate the range of a species to examine how it changes over time.
natural history collections, species distributions, course-based research experiences (CUREs), spatial analysis, digitized natural history collections, QGIS
1.9K
617
0
0
10.2021

Measuring Size and Area of Digitized Specimens using ImageJ

Elissa Suphapun Sorojsrisom, Janice L. Krumm, Paula A Trillo

Version: 1.0

Use ImageJ to analyze morphological characters in digital images of natural history specimens. Skills are transferable to many organisms and other morphological measurements.
ImageJ, natural history collections, course-based research experiences (CUREs), digitized natural history collections
1.4K
2.8K
0
0
06.2022

How many critters can an island hold? Using digitized natural history collections to test real hypotheses about island biogeography

Carly Jordan, Janice Krumm, Tiffany Marie Doan, Jason Kilgore, Debra Linton

Version: 2.0

Use digitized natural history specimen data from the Alexander Archipelago in Alaska to explore hypotheses about island biogeography. Reprinted from Proceedings of the Association for Biology Laboratory Education (2019).
Island biogeography, Arctos, digitized natural history collections, digital data
990
556
0
0
05.2023

 

Hidden Figures Modules

Teaching activities for exploring the untold stories of collectors

An Introduction to Revealing Hidden Figures through Data Sleuthing

Siobhan Leachman, Adania Flemming, Makenzie Mabry, Molly Phillips, Shawn Elizabeth Zeringue-Krosnick, Jennifer Kovacs, Olubunmi Aina

Version: 1.0

In this introduction to hidden figures in natural history collections (NHCs), students will read an article that gives a unique historical perspective of museums and will then participate in a reflection (written and discussion-based) on hidden figures in NHCs.
identity, social justice, natural history collections, Attribution, BCEENET, digitization, Representation, course-based undergraduate research experiences (CUREs), hidden figures, data democratization, restorative practice
927
298
0
0
12.2023

The Importance of an ORCID

Siobhan Leachman, Adania Flemming, Makenzie Mabry, Molly Phillips, Shawn Elizabeth Zeringue-Krosnick, Jennifer Kovacs, Olubunmi Aina

Version: 1.0

This lesson introduces students and instructors to the use of ORCIDs (Open Researcher and Contributor ID), and walks students through the process of registering for an ORCID. This module also helps explain the importance of obtaining an ORCID for anyone involved in research.
identity, social justice, course-based research experiences (CUREs), Attribution, BCEENET, digitization, Representation, hidden figures, data democratization, restorative practice
735
198
0
0
12.2023

Introduction to Bionomia

Makenzie Mabry, Adania Flemming, Molly Phillips, Shawn Elizabeth Zeringue-Krosnick, Jennifer Kovacs, Siobhan Leachman

Version: 1.0

This module introduces students and instructors to Bionomia, a database that highlights the collectors and identifiers of natural history specimens. It aims to foster appreciation for these individuals, including historically underrepresented groups, and guides students in attributing specimens to collectors, offering insights into their contributions to science.
identity, natural history collections, course-based research experiences (CUREs), Attribution, BCEENET, Representation, Wikidata, hidden figures, data democratization, restorative practice, restorative justice, Bionomia
530
84
0
0
11.2024
This activity explores how natural history contributions, particularly by underrepresented groups such as women and Indigenous peoples, can be recognized and amplified using Wikidata. Through the creation and integration of structured data about these contributors, Wikidata not only enhances their visibility but also serves as a powerful hub linking multiple databases and fostering inclusivity within the scientific community.
Open Data, data integration, Wikidata, Underrepresented Contributors, Linked Open Data, Natural History Collectors
64
3
0
0
12.2024
Created by Sam S Donovan Last Modified Wed December 11, 2024 3:07 pm by Carly N. Jordan

Comments

There are no comments on this entry.