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An algorithm competition for automatic species identification from herbarium specimens

Plant biodiversity is threatened, yet many species remain undescribed. It is estimated that >50% of undescribed species have already been collected and are awaiting discovery in herbaria.

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7/6/20
ACME-Calculating Capacity

Below are some tips and things to consider when determining the ideal capacity for your new timed-entry program.

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6/5/20
Mapping and Databasing Plant Records Survey

This survey conducted in fall 2019 was part of a research project for a masters degree at Vancouver Island University, in Geographic Information Systems (GIS). The survey was administered by Jodi Healy in collaboration with the Alliance for Public Garde

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5/26/20
BHS: The Evolving Threat of Ransomware

Ransomware is a growing concern for non-profits of all sizes but can be prevented with strategic risk management practices to counter these attacks and protect critical infrastructure and data.

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12/17/19
TIPS Professional Community Webinar - Occupancy Data

TIPS Technology Tuesday featured a presentation from Longwood Gardens on Occupancy Data. Learn about technological solutions to better understand visitor numbers, safety, and impacts. 

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10/3/19

 

 
 
Real-Time Control of Brooklyn Botanic Garden's Water Features for Combined Sewer Overflow Mitigation and Water Conservation

Communities are increasingly turning to “smart” water systems to address their often-competing stormwater challenges. This begs the question “how much more effective are smart stormwater systems?”.

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9/16/19
A GIS Data Model for Public Gardens

An enterprise GIS data model was developed for use in public gardens, which includes botanical gardens, arboreta, and zoos.

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4/8/19
Five Approaches to Build Functional Early Warning Systems

This publication aims to support UNDP practitioners and partners (international organisations, nongovernmental organisations, governments, as well as civil society organisations) in the process of setting up or improving early warning systems.

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4/3/19
PhenoForecaster: A software package for the prediction of flowering phenology

Predicting the flowering times of angiosperm taxa is a goal of mounting importance in the face of future climate change, with applications not only in plant biology and ecology, but also horticulture, agriculture, and invasive species management.

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3/21/19

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