CurioTreeData / README.md
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license: cc-by-nc-4.0
tags:
  - climate

The Curio Tree Dataset

This repository contains much of the tree inventory, images and stories data that was collected on the Curio platform. It contains;

  • Inventory type details of 2.5 millions trees captured across locations worldwide (location, species, diameter at breast height (DBH), height, vitality etc, where available)
  • 27,288 images of trees that were upload to the platform by our community and linked to individual trees.
  • Notes (stories), tags and conversations linked to trees.

Dataset Description

Curio was an environmental education and outreach platform that was predominantly focused on urban forestry. It connected the multiple stakeholders involved in the management of urban forestry with the public and importantly made all data uploaded via its web and mobile apps publicly available. The platform was live from March 2016 until August 2023 when the maintainence overheads made it infeasible. Curio was supported in its early stages by two European Space Agency projects, through the New Commons and Curio Canopy. A sense of the platform and how it worked can be found via the video on our youtube channel

This repository contains much of the tree inventory, images and stories data that was collected on the platform via our community, projects we helped support and open data tree inventories we uploaded onto the platform. We are keen to make this data available for research purposes in the hope it might be of benefit to others and to further the efforts of our community.

We have endeavored to name as many of those great projects and data sources that were hosted on the Curio platform in the attribution section below. If there are any omissions or errors please contact us.

A related project involved generating a high resolution map of tree canopy cover for the Greater London Authority. Details of that project and dataset can be found on the London Datastore Curio Canopy page.

  • Curated by: Breadboard Labs
  • License: cc-by-nc-4.0

Dataset Sources and Attribution

Our users and organisations that itilised the platform

Data from collaborative projects

Data from Open Data Sources

Uses

The data is free to be used for research purposes subject to the cc-by-nc-4.0 licence and suitable attribution, please see the citation section below

Some potential uses might include;

  • Investigations into urban tree biodiversity.
  • The development of an algorithm to extracting tree attributes via a photo or streetview imagery.
  • A tree species detection app.
  • The detection trees of via satellite imagery.
  • Species identfiication via hyperspectral tree.

It worth noting that for most use-cases cleaning, analysis and processing of data will be necessary. The completeness of tree inventory data varies greatly and users were not directed in anyway in terms of how to frame the photos they took and uploaded via the Curio app.

Dataset Structure

TaggedTrees

Number of data points: 2,593,139

The details of an individual tree including its location, species, diameter at breast height (dbh), vitality etc. when available

Images

Number of data points: 27,288

The details of images that were uploaded to the platform. The path to the actual image uploaded, this can be found in uploads directory. The details of what the image was attached to which usually was a ‘Story” that was then attached to a tree are also included.

Uploads:

The set of images referenced in the images data file. To

Stories:

The details of a story that was attached to tree

Notes:

The text included in a story/note about a tree.

Conversations & Comments:

Comments grouped by conversations linked to a particular Story

TreeSpecies

The tree species dictionary we built to support the platform. Each TaggedTree has a tree_species_id that references an entry in this dictionary when populated.

TreeSpeciesAliases

The local names across multiple languages that can used to describe a species of tree contained in the TreeSpecies dictionary

Tags and Taggings

Trees could be tagged with details such as diseased, monitored, newly_planted, apples, overhead cables etc. Anything at all really that could later be used to filter, group or identify trees of interest as well describe their state.

Dataset Creation

Curation Rationale

The goal of the Curio platform was make

Data Collection and Processing

[More Information Needed]

Who are the source data producers?

[More Information Needed]

Personal and Sensitive Information

Bias, Risks, and Limitations

[More Information Needed]

Recommendations

Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

Citation [optional]

@misc{OpenOrca, title = {The Curio Tree Dataset}, author = {Conor Nugent and Paul Hickey}, year = {2023}, publisher = {HuggingFace}, journal = {HuggingFace repository}, howpublished = {\url{https://https://huggingface.co/datasets/BreadboardLabs/CurioTreeData}}, }

Dataset Card Authors

Conor Nugent and Paul Hickey

Dataset Card Contact

Conor Nugent