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The Global Pollen Project is a web application for the digitisation of pollen reference material, and the crowdsourced identification of unknown pollen grains.

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Key Words: Pollen; Palynology; Reference-Collection; Digitisation; Dissemination; Crowdsourcing

build + test

The Global Pollen Project is a web-based tool to enable:

  1. crowdsourcing of pollen identification using images; and

  2. digitisation of existing pollen reference material.

The ideas behind the tool, and the development of the initial 1.0 release, are discussed in detail in the following publication:

Martin A.C., and Harvey, W. J. (2017). The Global Pollen Project: A New Tool for Pollen Identification and the Dissemination of Physical Reference Collections. Methods in Ecology and Evolution. Accepted

Development Environment

The GPP can run in a docker container or independently.

  1. Create Read and Write Stores. Spin up a local Redis and an EventStore for the read and write models. You can do this simply using docker, by running docker-compose up -d in the src/GlobalPollenProject.Web folder.

  2. Install Front-End Dependencies. To install dependencies, navigate to src/GlobalPollenProject.Web and run yarn install.

  3. Compile TypeScript and SASS. Run yarn run:dev in the src/GlobalPollenProject.Web directory to compile the SCSS styles. This will watch the directory for any changed source files.

Components

GPP consists of the following components:

  1. GPP Core. Wraps up the major functions into a single interface, which is exposed by a REST API.

  2. API. A public-facing API for the GPP. Access requires a valid API token, which can be obtained via the web interface.

  3. Web App. The public-facing website that exposes the library and basic identification functions.

  4. Lab UI. Digitisation tools are split into a seperate interface (in progress). This is a SPA Borelo F# app.

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The Global Pollen Project is a web application for the digitisation of pollen reference material, and the crowdsourced identification of unknown pollen grains.

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