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Botrychium virginianum (L.) Sw.

Image
90942-Service File.jpg
Family
Ophioglossaceae
Genus
Botrychium
Geolocation
41.844337, -74.081009
Rights
http://rightsstatements.org/vocab/CNE/1.0/
Institutional Collection
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Botrypus virginianus (L.) Michx.

Image
98115-Service File.jpg
Family
Ophioglassaceae
Genus
Botrypus
Geolocation
42.5210513, -74.1645743
Rights
http://rightsstatements.org/vocab/CNE/1.0/
Institutional Collection
View

Botrypus virginianus (L.) Michx.

Image
98116-Service File.jpg
Family
Ophioglassaceae
Genus
Botrypus
Geolocation
42.5210513, -74.1645743
Rights
http://rightsstatements.org/vocab/CNE/1.0/
Institutional Collection
View

Branding the Globe: The Real Madrid Takeover

Publication Date
2014-January-01
Document Type
Department or Program
Document Type
Access Level
Abstract

Real Madrid got its start in 1902, but it wasn't until the 1950s under Santiago Bernabéu as president and his squad of international superstars that the team began to make a name for themselves as the best, winning five championships...

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Branding the Globe: The Real Madrid Takeover

Publication Date
2014-January-01
Document Type
Department or Program
Document Type
Access Level
Abstract

Real Madrid got its start in 1902, but it wasn't until the 1950s under Santiago Bernabéu as president and his squad of international superstars that the team began to make a name for themselves as the best, winning five championships...

View

Breaking into Binaries: Exploring AI’s Constructions of Women and Feminist Perspectives on AI Interaction

Publication Date
2024-April-28
Document Type
Access Level
Abstract

Gender biases entrenched within artificial intelligence (AI) models have the potential to build upon and worsen the conceptualizations of women and reinforce misogynistic power structures. This happens through the biased datasets that are used to train AI, the feminization and...

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Breaking into Binaries: Exploring AI’s Constructions of Women and Feminist Perspectives on AI Interaction

Publication Date
2024-April-28
Document Type
Access Level
Abstract

Gender biases entrenched within artificial intelligence (AI) models have the potential to build upon and worsen the conceptualizations of women and reinforce misogynistic power structures. This happens through the biased datasets that are used to train AI, the feminization and...

View
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