Nature data, ready for analysis

Cecil makes nature datasets consistent, joinable, and ready for spatial analysis.

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Nature datasets

Find datasets with monitoring enabled for your area of interest. Refine your search by spatial and temporal attributes across commercial and open licence datasets.

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Analysis ready

Join spatial data across multiple datasets. Use our recommended settings or configure reprojections to use your project specific CRS and spatial resolution.

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Built to scale

Securely connect your data operations with the Cecil Python SDK. Leverage a modern SQL database in your workflow to analyse time-series and spatial data at scale.

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Find nature data for your area of interest

Supercharge your productivity to analyse nature datasets.

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A scientific approach to nature

Cecil draws on foundational scientific principles to identify and describe nature in an objective, transparent, and rigorous way.

We have developed a repeatable and scalable operating model with the research community to curate nature datasets and deliver the academic gold standard for nature data.

We collaborate with a network of industry experts to consolidate dataset protocols, methods, and specifications into clear and comprehensive documentation.

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Unlocking efficient analysis

Cecil makes all datasets consistent and joinable by default. We consolidate nature datasets into relational database models, harmonise measurement units, and reproject pixel grids to a baseline CRS and spatial resolution using the appropriate resampling methods for continuous and categorical data.

We provide you with secure SQL access to a database optimised for time-series and spatial analysis at scale. This allows you to join large datasets from multiple data providers and perform complex aggregations and computations within milliseconds, delivering data insights with maximum efficiency.

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One stop for nature data

Access curated nature datasets with one contract, one integration, and no minimum usage requirements. Cecil partners with leading data providers to streamline contracting, compliance, integrations, and technical support.

Transparent roadmap

We currently support plant aboveground biomass, land use, and land cover datasets from industry leading data providers such as Chloris Geospatial, Google Earth Engine, Kanop, and Planet Labs.

Get in touch to learn more about our roadmap. We would love to hear which datasets you would like us to prioritise.

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