Force update of dataset files

README.md

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 ---
-language: [es]
+language: [en]
 datasets: []
 license: mit
 task_categories:
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   - Colombia
 pretty_name: Urban Tree Census Data - Ibagué
 ---
+
 # Urban Tree Census Data
 
 This dataset was collected as part of the **Urban Tree Observatory Project in Ibagué, Colombia**.  
-It includes georeferenced records of urban trees, taxonomic details, physical measurements, and observational data. the objective is create a PostgreSQL database using Django.
+It includes georeferenced records of urban trees, taxonomic details, physical measurements, and climate and observational data.  
+The main goal is to build and populate a structured PostgreSQL database using Django and SQLAlchemy.
 
 ## Contents
 
-- `Biodiversity_records.csv`: Main biodiversity registry.
-- `Place.csv`: Geographical locations where observations were made.
-- `Geog_coord_syst.csv`: Metadata about the coordinate reference systems used.
-- `Taxonomy_details.csv`: Taxonomic classification per tree (family, genus, species).
-- `Measurements.csv`: Tree measurements such as trunk height, total height, crown diameter, DBH, and volume.
-- `Observations_details.csv`: Observations including IUCN status, physical condition, origin, use, and other descriptive attributes.
-- `FunctionalTraitsStructure.csv`: Functional traits assigned to each taxonomic unit, including canopy shape, leaf color, maximum height, crown diameter, and indices such as carbon sequestration and shade potential.
+- `biodiversity.csv`: Main biodiversity registry per observed tree.
+- `climate.csv`: Historical climate data associated with monitoring stations in Ibagué.
+- `measurements.csv`: Physical measurements per tree (total height, DBH, volume, crown diameter, etc.).
+- `observations.csv`: Information health condition, observations on field etc.
+- `places.csv`: Geographic information where trees are located (name, neighborhood, municipality).
+- `taxonomy.csv`: Taxonomic classification per unit (family, genus, species, common name).
+- `traits.csv`: Functional traits per species such as maximum height, carbon sequestration potential etc.
+
+## Objective
+
+To build a comprehensive database that enables ecological and functional analysis of urban trees, supporting applications like urban observatories, decision-making tools, and monitoring web platforms.
+
+## Data Source
+
+The original dataset was downloaded from the official open data portal of Colombia:  
+[Urban Tree Census in Ibagué - Secretaría de Ambiente y Gestión del Riesgo](https://www.datos.gov.co/Ambiente-y-Desarrollo-Sostenible/Censo-de-Arbolado-urbano-en-Ibagu-Sria-Ambiente-y-/am4p-tz7w/about_data)
 
-The objective is to build and populate a structured PostgreSQL database using Python and SQLAlchemy, which stores biodiversity, taxonomy, and urban tree census data for Ibagué, Colombia.
+The data was then cleaned, curated, and transformed by the local team of Omdena — **GIBDET Colombia Chapter**.  
+This process included designing a relational SQL schema, normalizing and enriching the dataset, and building a Geodatabase in **PostgreSQL + PostGIS** to support geospatial analysis and web-based applications.
 
-## Sources
-Data collected by Omdena Local Chapter - GIBDET, Colombia Chapter.
 
 ## License
-CC BY 4.0 — You are free to use, share, and adapt with attribution.
+
+**MIT License** — Free to use, modify, and redistribute with attribution.
+
+## Citation
 
 ## Citation
-Please cite:  
-*Juan Pablo Cuevas, Omdena GIBDET Colombia Chapter, 2025.*
+
+Please cite this dataset as:  
+*Juan Pablo Cuevas Gonzalez (2025). Omdena GIBDET Colombia Chapter. Urban Tree Census Data - Ibagué [Dataset]. Hugging Face. https://huggingface.co/datasets/juanpac96/urban_tree_census_data*