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EBird: History & Science

eBird is an online database of bird observations providing scientists, researchers and amateur naturalists with real-time data about bird distribution and abundance. Originally restricted to sightings from the Western Hemisphere, the project expanded to include New Zealand in 2008, and to cover the whole world in June 2010. eBird has been described as an…

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EBird topic overview

The analysis highlights History and Science as prominent areas in the source structure around EBird.

Related topics
41
Source areas
5
Connected nodes
46
Extracted relationships
83
Concept neighborhoods
20
Bridge connections
46

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Features · 11 topics
Citations · 10 topics
History and purpose · 9 topics
Overview · 9 topics
Criticism of data · 2 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Available in
14 languages (but see Features, below)
Created by
Cornell Lab of Ornithology
Current status
Active
Launched
2002 (24 years ago) (2002)
Type of site
Wildlife database
URL
ebird.org

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

History and purpose

Criticism of data

Features

Citations

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How EBird connects Entity context

The extracted context around EBird shows recurring relationship patterns in the source. For example, EBird → Adler, Annual Review, Benefits, Benjamin, Bibcode, Biological Conservation, Bonter, Brian Sullivan, Challenges, Chris Wood, Citizen Science, Conservation, Daniel Fink, David, Ecological Research Tool, Ecology, Engaging Birders, Evolution, Frederick, Horns Another extracted example is EBird → AI, As, Cornell Lab, Cornell University, Due, In, It, Jacques Larivée, Launched, May, National Audubon Society, Ornithology, The. Use these groups to spot repeated connection types before inspecting the individual relationships.

EBird

Top relations

related to Citations · 32
EBird → Adler, Annual Review, Benefits, Benjamin, Bibcode, Biological Conservation, Bonter, Brian Sullivan, Challenges, Chris Wood, Citizen Science, Conservation, Daniel Fink, David, Ecological Research Tool, Ecology, Engaging Birders, Evolution, Frederick, Horns
related to history · 13
EBird → AI, As, Cornell Lab, Cornell University, Due, In, It, Jacques Larivée, Launched, May, National Audubon Society, Ornithology, The
related to Criticism of data · 6
EBird → Authors, COVID-19, In, Nilgiri, Such, This
related to Electronic kiosks · 5
EBird → Darling National Wildlife Refuge, Ding, Florida, In, Sanibel Island
related to Features · 5
EBird → As, Internet, Observations, Though, Users
related to Use of database information · 4
EBird → Database, India, It, The
is a · 3
EBird → example of crowdsourcing, free service, online database of bird observations providing scientists
related to Integration in cars · 3
EBird → It, Starlink, Subaru Ascent
related to Bird checklists · 2
EBird → North America, The
Available in · 1
EBird → 14 languages (but see Features, below)

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

data bird observations database science scientists distribution example information checklists new use doi 10 america zealand used biodiversity biased different

EBird relationships Subject–Predicate–Object triples

TTTA extracted 83 structured relationships around EBird. Examples in this analysis include EBird → Available in → 14 languages (but see Features, below) and EBird → Created by → Cornell Lab of Ornithology. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
EBirdAvailable in14 languages (but see Features, below)1.00infobox
EBirdCreated byCornell Lab of Ornithology1.00infobox
EBirdCurrent statusActive1.00infobox
EBirdLaunched2002 (24 years ago) (2002)1.00infobox
EBirdType of siteWildlife database1.00infobox
EBirdURLebird.org1.00infobox
EBirdis aonline database of bird observations providing scientists0.90text
EBirdis aexample of crowdsourcing0.90text
EBirdis afree service0.90text
the COVID-19 pandemic when governmental policy restricted people's movements in many countriesinstance ofSuch biases can be exacerbated due to events0.80text
which led to the data becoming greatly biased to urban locations relative to other habitats.In another studyinstance ofSuch biases can be exacerbated due to events0.80text
eBird data provided a different estimate of suitable habitat for the Nilgiri pipit relative to data collected by scientistsinstance ofSuch biases can be exacerbated due to events0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around EBird bring nearby vocabulary together. In this analysis, examples include Data, Checklists and Information. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • EBird
    • Data
    • Checklists
    • Information
    • Scientists
    • America
    • Different
    • New
    • Submitted
    • Distribution
    • Observations
    • Abundance
    • Biodiversity
  • ebird
    • Data
    • Checklists
    • Information
    • Scientists
    • America
    • Different
    • New
    • Submitted
    • Distribution
    • Observations
    • Abundance
    • Biodiversity
  • bird
    • Used
    • Database
    • Abundance
    • Data
    • Distribution
    • Ebird
    • Observations
    • Example
    • America
    • Scientists
    • Features
    • Cornell
  • bird distribution and abundance
    • Used
    • Abundance
    • Distribution
    • Features
    • Database
    • Bird
    • Biased
    • Data
    • Checklists
    • Cornell
    • Information
    • Use
  • new zealand
    • New
    • Zealand
    • Use
    • Science
    • America
    • Features
    • Checklists
    • Cornell
    • Doi
    • Abundance
    • Available
    • Biodiversity
  • biodiversity information
    • Global
    • Checklists
    • Information
    • America
    • Use
    • Example
    • Features
    • Include
    • Science
    • Via
    • Zealand
    • Data
  • birds of north america
    • Zealand
    • New
    • Checklists
    • Information
    • Features
    • Cornell
    • Doi
    • Example
    • Regional
    • Urban
    • Use
    • Available
  • global biodiversity information facility
    • Global
    • Checklists
    • Information
    • America
    • Use
    • Example
    • Features
    • Include
    • Science
    • Via
    • Zealand
    • Data

Connections between topic areas Semantic bridges

For EBird, one of the stronger structural bridges in this analysis connects EBird with Features. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
EBird — Features · splits 35 ⟂ 12
EBird — Citations · splits 36 ⟂ 11
EBird — Overview · splits 37 ⟂ 10
EBird — History and purpose · splits 37 ⟂ 10
EBird — Criticism of data · splits 44 ⟂ 3

Map overview Semantic statistics

EBird

Nodes47
Edges46
Triples83
Avg. degree1.96
Density0.042553
Components1

Source & methodology

TTTA analyzes the structure around EBird to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Science, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — EBird · EN edition · Analysis: TopicsToTalkAbout

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