eBird: A citizen-based bird observation network in the biological sciences

@article{Sullivan2009eBirdAC,
  title={eBird: A citizen-based bird observation network in the biological sciences},
  author={Brian L. Sullivan and Christopher Wood and Marshall J. Iliff and R. Bonney and D. Fink and S. Kelling},
  journal={Biological Conservation},
  year={2009},
  volume={142},
  pages={2282-2292}
}
New technologies are rapidly changing the way we collect, archive, analyze, and share scientific data. For example, over the next several years it is estimated that more than one billion autonomous sensors will be deployed over large spatial and temporal scales, and will gather vast quantities of data. Networks of human observers play a major role in gathering scientific data, and whether in astronomy, meteorology, or observations of nature, they continue to contribute significantly. In this… Expand
992 Citations
eButterfly: Leveraging Massive Online Citizen Science for Butterfly Conservation
  • 33
  • Highly Influenced
  • PDF
Data quality in crowdsourcing for biodiversity research: issues and examples
  • 9
  • Highly Influenced
  • PDF
eBird: Curating Citizen Science Data for Use by Diverse Communities
  • C. Lagoze
  • Computer Science
  • Int. J. Digit. Curation
  • 2014
  • 19
  • Highly Influenced
  • PDF
BirdVis: Visualizing and Understanding Bird Populations
  • 61
  • PDF
A crowdsourcing approach to collecting photo-based insect and plant observation records
  • 9
  • PDF
Large Extent Volunteer Roadkill and Wildlife Observation Systems as Sources of Reliable Data
  • 17
Benchmark Bird Surveys Help Quantify Counting Accuracy in a Citizen-Science Database
The role of citizen science in monitoring biodiversity in Ireland
  • 43
  • Highly Influenced
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 21 REFERENCES
Towards a cyberinfrastructure for the biological sciences: progress, visions and challenges
  • L. Stein
  • Biology, Medicine
  • Nature Reviews Genetics
  • 2008
  • 157
  • PDF
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition
  • 13,572
  • PDF
Defining and Unraveling Biocomplexity
  • 165
  • PDF
...
1
2
3
...