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# The Curio Tree Dataset
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This
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- Inventory type details of 2.5 millions trees captured across locations worldwide (location, species, diameter at breast height (DBH), height, vitality etc, where available)
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- 27,288 images of trees that were upload to the platform by our community and linked to individual trees.
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### Dataset Description
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Curio was an environmental education and outreach platform that was predominantly focused on urban forestry. It connected
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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.
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### Dataset Sources and Attribution
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- [Morton Arboretum](https://mortonarb.org/) - [Chicago Regional Tree Initiative](https://chicagorti.org/programs/)
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- [Familjebostader](https://familjebostader.com/om-oss/)
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####
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- The Greater London Authority Datastore - [Local Authority Maintained Trees](https://data.london.gov.uk/dataset/local-authority-maintained-trees)
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<!-- Motivation for the creation of this dataset. -->
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The goal of the Curio platform was
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#### Data Collection and Processing
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<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
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<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
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[More Information Needed]
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#### Personal and Sensitive Information
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<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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@misc{
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title = {The Curio Tree Dataset},
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author = {Conor Nugent and Paul Hickey},
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year = {2023},
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# The Curio Tree Dataset
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This dataset contains much of the tree inventory, images and stories data that was collected on the [Curio platform](https://www.youtube.com/@curio-xyz7991/videos) before it was sunset. The data includes;
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- Inventory type details of 2.5 millions trees captured across locations worldwide (location, species, diameter at breast height (DBH), height, vitality etc, where available)
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- 27,288 images of trees that were upload to the platform by our community and linked to individual trees.
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### Dataset Description
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Curio was an environmental education and outreach platform that was predominantly focused on urban forestry. It connected 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 its ongoing use infeasible. Curio was supported in its early stages by two European Space Agency projects, through the [New Commons](https://business.esa.int/projects/new-commons) and [Curio Canopy](https://business.esa.int/projects/curio-canopy). A sense of the platform and how it worked can be found via the video on [our youtube channel](https://www.youtube.com/@curio-xyz7991/videos)
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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.
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### Dataset Sources and Attribution
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Many people picked up the app and contributed to the data that was collected. Curio was also used to support many great projects and initiatives. We have endeavoured to mention many below along with the open data tree inventories we uploaded onto the platform.
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#### Collaborative projects supported by Curio
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- [Morton Arboretum](https://mortonarb.org/) - [Chicago Regional Tree Initiative](https://chicagorti.org/programs/)
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- [Familjebostader](https://familjebostader.com/om-oss/)
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#### Open Data Sources Attribution
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- The Greater London Authority Datastore - [Local Authority Maintained Trees](https://data.london.gov.uk/dataset/local-authority-maintained-trees)
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<!-- Motivation for the creation of this dataset. -->
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The goal of the Curio platform was to educate, engage and democratised access to environmenatal information. Making the data collected on the platform available in this form is seen as an extension of that mission.
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#### Data Collection and Processing
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<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
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All data was collected via the Curio app by its community. Where inventory data was uploaded in bulk we preprocessed the data to ensure details such as species information where mapped to the species dictionary we deinfed and that has been included in this release.
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Before making the data available on this platform we decided to run face detection and blur any obvious, detectable faces found in the images that have been included.
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<!-- #### Who are the source data producers? -->
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<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
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<!-- #### Personal and Sensitive Information -->
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<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
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<!-- ## Bias, Risks, and Limitations -->
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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@misc{CurioTreeData,
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title = {The Curio Tree Dataset},
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author = {Conor Nugent and Paul Hickey},
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year = {2023},
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