license: cc-by-nc-4.0
tags:
- climate
Dataset Card for Curio Tree Data
This repository contains much of the tree inventory, images and stories data that was collected on the Curio platform.
Dataset Description
Curio was an environmental education and outreach platform that was predominantly focused on urban forestry. It connected multiple stakeholders involved in the management of urban forestry and importantly made all data uploaded via its web and mobile apps publicly available. The platform was live from March 2016 until August 2023 and was supported in its early stages by two European Space Agency projects, through the New Commons and Curio Canopy.
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
Data from Collaborative Projects
Morton Arboretum - Chicago Regional Tree Initiative
Dublin City Council’s Parks, Biodiversity and Landscape Services & School of Geography at University College Dublin - Tree Mapping Dublin
Sacramento Tree Foundation - Save the Elms Program
Cambridge City Council - Cambridge City Canopy Programme
Municipality of Oslo Agency for Urban Environment - Inventory and ecosystem services report hosting
Mountshannon Arboretum - Forester Bernard Carey initiated the Mountshannon i-Tree project, in conjunction with UCD and UK-based consultancy Treeconomics.
SLU - Alnarp - Skåne Tree Inventory and support for and involvement in the New Commons and Curio Canopy projects
Malmö Stad - Malmö Tree Inventory and support for and involvement in the New Commons and Curio Canopy projects
Data from Open Data Sources
The Greater London Authority Datastore - Local Authority Maintained Trees
NYC OpenData - 2015 Street Tree Census - Tree Data
Open Data BDN - Street trees of the city of Barcelona
Open Data Bristol - Trees
Open Data NI - Belfast City Trees
Denver Open data - Tree Inventory
Open Data DK - City of Copenhagen Trees
Palo Alto Open Data - Palo Alto Trees
Fingal County Council Open Data - Fingal County Council Trees
Uses
Direct Use
[More Information Needed]
Out-of-Scope Use
[More Information Needed]
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.
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
[More Information Needed]
Source Data
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]
More Information [optional]
[More Information Needed]
Dataset Card Authors
Conor Nugent and Paul Hickey