Examples of using Ebird in English and their translations into Chinese
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Political
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Ecclesiastic
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Programming
EBird collects data on birds from birders;
Some people really like the eBird app.
In May, eBird gathered a record 5.6 million new observations from 169 countries.
EUTELSAT 33A telecommunications satellite(formerly Eurobird(TM) 3, eBird(TM)).
Many people first think“Are the eBird data perfect?”, and the answer is“absolutely not.”.
For more on howresearchers use statistical models to analyze eBird data see Fink et al.
Many people first think“Are the eBird data perfect?”, and the answer is“absolutely not.”.
Many non-ornithologists are initiallyextremely skeptical when they hear about eBird for the first time.
Together with Cornell, Audubon created eBird, an online database for bird observation.
First, eBird researchers are constantly trying to upgrade the quality of the data submitted by birders.
Many non-ornithologists are initiallyextremely skeptical when they hear about eBird for the first time.
First, eBird researchers are constantly trying to upgrade the quality of the data submitted by birders.
For more on estimating the skill of eBird participants, see Kelling, Johnston, et al.(2015).
EBird is a global citizen science database of bird observations managed by the Cornell Lab of Ornithology.
In other words, when you start pilot testing, your project will not- and should not-look as polished as Galaxy Zoo or eBird.
Data uploaded to eBird contain six key fields: who, where, when, what species, how many, and effort.
For more on howresearchers use statistical models to analyze eBird data see Fink et al.(2010) and Hurlbert and Liang(2012).
For example, in eBird, data collection is determined by the location of birders, not the location of the birds.
A classic example of a distributed data collection is eBird, in which hundreds of thousands of volunteers contribute reports about birds they see.
The eBird project demonstrates that it is possible to involve volunteers in the collection of important scientific data.
A classic example of a distributed data collection is eBird, in which hundreds of thousands of volunteers contribute reports about birds they see.
The eBird project demonstrates that it is possible to involve volunteers in the collection of important scientific data.
One of the beauties of eBird is that it captures“work” that is already happening- in this case, birding.
EBird researchers have two main solutions to these data quality issues- solutions that might be helpful in other distributed data collection projects as well.
The second resource, eBird, is an online database for bird watching enthusiasts to log all the birds they have seen.
However, eBird, and related projects, indicate that challenges related to sampling and data quality are concerns for distributed data collection projects.
My description of eBird draws on descriptions in Bhattacharjee(2005), Robbins(2013), and Sullivan et al.(2014).
However, eBird, and related projects, indicate that challenges related to sampling and data quality are concerns for distributed data collection projects.
No longer: eBird has compiled 141 million reports, or bits, and the number is increasing by 40 percent a year.
