--- license: cc-by-nc-4.0 tags: - climate - trees - images size_categories: - 1M 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 algorithms for extracting tree attributes via photos 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. The set of images was quite large even when zipped and so was broken up into 10gb chunks. Download each of the chunks and then run unzip on the uploads.zip file A folder containing downsized versions of the images based on a fixed width has also been included - resized-uploads-width1200.zip ### 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 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. #### Data Collection and Processing 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. 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. ## Citation [optional] @misc{CurioTreeData, 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](https://www.linkedin.com/in/conor-nugent-5b02458/?originalSubdomain=ie)