Species Occurrence Records
GBIF and iNaturalist occurrence data — biodiversity training corpus.
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Find Me This Data →Overview
What Is Species Occurrence Records?
Species occurrence records are documented observations of where organisms are found in space and time, forming the backbone of global biodiversity databases. The Global Biodiversity Information Facility (GBIF) and iNaturalist aggregate millions of these records from researchers, citizen scientists, and institutions worldwide, creating comprehensive maps of species distributions. These datasets enable conservation planning, predictive modeling of biodiversity shifts, and understanding of species spread dynamics including invasive species tracking. Globally aggregated biodiversity occurrence data drives both predictive research for future conservation scenarios and descriptive studies of current ecosystem status across spatial scales.
Market Data
300 million acres of cropland data over 40+ years
Coverage
Source: Field to Market
Impacts predictive and descriptive research globally
Data Application
Source: PNAS/PMC
Biological invasions identified as major threat to nature with far-reaching human-wellbeing consequences
Threat Assessment
Source: Nature Scientific Data
Spatial analysis enables better conservation planning and biodiversity shift prediction
Conservation Use
Source: ESSD/Copernicus
Who Uses This Data
What AI models do with it.do with it.
Conservation Planning
Spatial analysis of species occurrence data from GBIF informs targeted conservation strategies and biodiversity protection efforts in priority regions.
Invasive Species Management
Comprehensive datasets of alien species distributions combined with native range information enable prediction and prevention of biological invasions before they establish.
Predictive Biodiversity Modeling
AI-driven predictive analytics converge occurrence data with environmental DNA, acoustic sensors, and satellite imagery to forecast biodiversity shifts before species disappear.
Ecological Research
Globally aggregated occurrence records support descriptive and predictive research on species distributions, ecosystem dynamics, and responses to environmental change.
What Can You Earn?
What it's worth.worth.
GBIF Data Access
Varies
Available through AWS Marketplace and institutional partnerships; pricing depends on data volume and integration requirements.
iNaturalist Integration
Varies
Community-sourced citizen science data; commercial licensing varies by use case and geographic scope.
Enterprise Biodiversity Datasets
Varies
Premium occurrence records with curation, validation, and specialized geographic coverage command higher licensing fees.
What Buyers Expect
What makes it valuable.valuable.
Spatial Accuracy
Precise geographic coordinates enabling reliable spatial analysis for conservation planning and predictive modeling at landscape scales.
Temporal Coverage
Long-term historical occurrence records spanning decades to enable trend analysis and biodiversity shift prediction across meaningful time horizons.
Data Integration
FAIR digital twins enabling seamless workflow integration with environmental DNA, acoustic monitoring, satellite imagery, and machine learning pipelines.
Comprehensive Taxonomy
Coverage across diverse organism groups with standardized taxonomic information supporting invasive species tracking and multi-taxa biodiversity assessment.
Validation Standards
Peer-reviewed methodologies and quality assessments ensuring reliability for scientific research and evidence-based conservation decision-making.
Companies Active Here
Who's buying.buying.
Aggregates and distributes species occurrence records from thousands of institutions worldwide via AWS Marketplace and direct institutional partnerships for research and conservation.
Use spatial analysis of GBIF occurrence data and comprehensive invasive species distribution datasets to plan protected areas and prioritize biodiversity protection efforts.
Leverage globally aggregated biodiversity occurrence data for predictive and descriptive research on species distributions, conservation outcomes, and environmental responses.
Conducts comprehensive assessment of environmental outcomes including biodiversity across 300 million acres of cropland using 40+ years of occurrence and indicator data.
Integrate species occurrence records with eDNA, acoustic sensors, and satellite imagery using machine learning to predict biodiversity shifts and enable proactive survey design.
FAQ
Common questions.questions.
What is the difference between GBIF and iNaturalist occurrence data?
GBIF aggregates species occurrence records from thousands of institutional sources, museums, and research organizations worldwide, providing curated scientific observations. iNaturalist combines citizen science contributions from amateur naturalists with professional researchers. Both feed biodiversity training corpora, but GBIF emphasizes institutional validation while iNaturalist emphasizes accessibility and crowdsourced geographic coverage.
How are species occurrence records used in conservation?
Spatial analysis of occurrence data identifies biodiversity hotspots, informs protected area design, and enables predictive modeling of where species distributions may shift due to climate change or invasive species spread. Comprehensive datasets also track invasive species dynamics by comparing native and introduced ranges, supporting prevention and mitigation strategies.
What makes occurrence data valuable for AI and machine learning?
Species occurrence records serve as training data for predictive models that forecast biodiversity shifts, optimize survey design, and integrate with environmental DNA, acoustic sensors, and satellite imagery. AI systems can identify patterns in species distributions across spatial and temporal scales that would be impossible to detect manually.
Who pays for access to species occurrence records?
Conservation organizations, research universities, pharmaceutical companies conducting environmental research, agricultural agencies assessing ecosystem services, and technology platforms building predictive biodiversity tools all purchase or license occurrence data. GBIF offers both free and enterprise licensing through AWS Marketplace and direct institutional partnerships.
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