Datasets:
Preserves spelling of NEON (#7)
Browse files- Preserves spelling of NEON (79cb1c811e6c045ed06b69046c10a62543b1b641)
- Set NEON data/metadata citations to bibtex and include request for acknowledgement inclusion (cc1a66d69062b0cfe09296d034acebe08a42a225)
- formatting fix (710c8c1e8f3eb738ed119005b45d838261173fab)
- Add summary to yaml for API access (42a9fd84e66a2a0659183be05c121af67ac8dc7e)
Co-authored-by: Hilmar Lapp <hlapp@users.noreply.huggingface.co>
README.md
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path: data/train-*
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- split: validation
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path: data/validation-*
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---
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**Data**
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```
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@misc{
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author = {Alyson East and Michael Belitz and Leah Cotton and Jacqueline Dominguez and Isabelle Betancourt and
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S M Rayeed and Fangxun Liu and David Carlyn and Connor Kilrain and Jiaman Wu and Chandra Earl and Hilmar Lapp
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and Kayla I. Perry and Charles Stewart and Matthew J. Thompson and Elizabeth G. Campolongo and Wei-Lun Chao and
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Eric R. Sokol and Sydne Record},
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title = {Beetles as Sentinel Taxa: Predicting drought conditions from NEON specimen imagery},
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year = {2025},
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url = {https://huggingface.co/datasets/imageomics/sentinel-beetles},
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doi = {<doi once generated>},
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-->
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Please be sure to also cite the original data
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-
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## Acknowledgements
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path: data/train-*
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- split: validation
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path: data/validation-*
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description: "Images of pinned carabid beetle specimens collected by the National Ecological Observatory Network (NEON) from ecological sites across the U.S., along with associated metadata and drought severity indices (Standardized Precipitation Evapotranspiration Index (SPEI)). It was developed to for the second HDR ML Challenge, and is intended to support the development of machine learning models to predict environmental conditions—specifically drought status—from organismal traits captured in specimen imagery."
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---
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**Data**
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```
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@misc{East-beetles-2025,
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author = {Alyson East and Michael Belitz and Leah Cotton and Jacqueline Dominguez and Isabelle Betancourt and
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S M Rayeed and Fangxun Liu and David Carlyn and Connor Kilrain and Jiaman Wu and Chandra Earl and Hilmar Lapp
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and Kayla I. Perry and Charles Stewart and Matthew J. Thompson and Elizabeth G. Campolongo and Wei-Lun Chao and
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Eric R. Sokol and Sydne Record},
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title = {Beetles as Sentinel Taxa: Predicting drought conditions from {NEON} specimen imagery},
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year = {2025},
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url = {https://huggingface.co/datasets/imageomics/sentinel-beetles},
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doi = {<doi once generated>},
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-->
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Please be sure to also cite the original data sources (specimen collection and metadata) and include the NEON acknowledgements (provided below).
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```bibtex
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@misc{NEON-pinned-beetles,
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doi = {10.48443/CD21-Q875},
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url = {https://data.neonscience.org/data-products/DP1.10022.001/RELEASE-2025},
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author = {{National Ecological Observatory Network (NEON)}},
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keywords = {diversity, taxonomy, community composition, species composition, population, invertebrates, abundance, beetles, Carabidae, insects, DNA sequences, COI, DNA barcoding, ground beetles, pitfall traps, material samples, archived samples, bet, introduced species, invasive species, native species, biodiversity},
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language = {en},
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title = {Ground beetles sampled from pitfall traps (DP1.10022.001)},
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publisher = {National Ecological Observatory Network (NEON)},
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year = {2025}
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}
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```
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```bibtex
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@misc{NEON-field-metadata,
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url = {https://www.neonscience.org/field-sites/exports/NEON_Field_Site_Metadata_20250625},
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author = {{National Ecological Observatory Network (NEON)}},
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language = {en},
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title = {{NEON} Field Site Metadata},
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publisher = {National Ecological Observatory Network (NEON)},
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year = {2025},
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note = {Dataset accessed from https://data.neonscience.org/api/v0/locations/sites on June 25, 2025}
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}
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```
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## Acknowledgements
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