Datasets:
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README.md
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* Research-grade US iNaturalist observations geo-binned/time-binned through 1 March 2025.
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### Dataset Summary
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* **Motivation:** To create a spatiotemporally binned co-occurrence matrix of biological taxa based on
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* **Source:** GBIF.org (Global Biodiversity Information Facility) occurrence data, specifically from the dataset with download DOI: https://doi.org/10.15468/dl.wn7arn
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* **Processing:** The raw observation data was processed through several steps:
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* Research-grade US iNaturalist observations geo-binned/time-binned through 1 March 2025.
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### Dataset Summary
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* **Motivation:** To create a spatiotemporally binned co-occurrence matrix of biological taxa based on iNaturalist observation data (accessed through GBIF) suitable for machine learning tasks like predicting species distributions or analyzing community patterns.
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* **Source:** GBIF.org (Global Biodiversity Information Facility) occurrence data, specifically from the dataset with download DOI: https://doi.org/10.15468/dl.wn7arn
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* **Processing:** The raw observation data was processed through several steps:
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