CurioTreeData / README.md
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---
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](https://business.esa.int/projects/new-commons) and [Curio Canopy](https://business.esa.int/projects/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](https://data.london.gov.uk/dataset/curio-canopy).
- **Curated by:** Breadboard Labs
- **License:** cc-by-nc-4.0
### Dataset Sources [optional]
<!-- Provide the basic links for the dataset. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the dataset is intended to be used. -->
### Direct Use
<!-- This section describes suitable use cases for the dataset. -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
[More Information Needed]
## Dataset Structure
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
- ### 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
<!-- Motivation for the creation of this dataset. -->
[More Information Needed]
### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
[More Information Needed]
#### Who are the source data producers?
<!-- 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. -->
[More Information Needed]
### Annotations [optional]
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
#### Annotation process
<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
[More Information Needed]
#### Who are the annotators?
<!-- This section describes the people or systems who created the annotations. -->
[More Information Needed]
#### Personal and Sensitive Information
<!-- 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. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
## Citation [optional]
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Dataset Card Authors [optional]
[More Information Needed]
## Dataset Card Contact
[More Information Needed]