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elenagsierra - opened
README.md
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---
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license: cc-by-sa-3.0
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---
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# DivShift North American West Coast
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Highlighting biases through partitions of volunteer-collected biodiversity data.
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## Acquisition
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## Features
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-
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## References
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- iNaturalist: www.inaturalist.org
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---
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license: cc-by-sa-3.0
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---
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# DivShift North American West Coast
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Highlighting biases through partitions of volunteer-collected biodiversity data.
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+
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+
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## Acquisition
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Sourced from iNaturalist open data on AWS.
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## Features
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|Column Name |Description |
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|----------------------------|--------------------------------------------------------------------------------------------------------------------|
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|state_name |State name |
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|observation_uuid |ID of the observation |
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|observer_id |ID of the iNaturalist observer |
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|latitude |latitude (°) |
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|longitude |longitude (°) |
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|positional_accuracy |Accuracy of latitude and longitude (m) |
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|taxon_id |Taxon ID of plant |
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|quality_grade |Quality of observation |
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|observed_on |Date of observation |
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|ancestry |Higher-order identifiers of species taxonomy (e.g. genus, family) |
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|rank_level |Name of rank ID of taxon |
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|rank |Rank ID of taxon (e.g. 10 for species, 9 for genus) |
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|name |Species name |
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|date |Date of observation in Datetime form |
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|state |State name |
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|photo_uuid |Unique photo identifier on iNaturalist website |
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|photo_id |Unique photo identifier on iNaturalist Open Data S3 bucket |
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|extension |The photo extension |
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|license |What creative commons license the photo is shared under |
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|width |Width of image |
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|height |Height of image |
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|position |For a given observation with more than one associated photo, what is the order of the given image in the observation|
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|l3_ecoregion |L3 ecoregion name |
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|l2_ecoregion |L2 ecoregion name |
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|l1_ecoregion |L1 ecoregion name |
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|l4_ecoregion |L4 ecoregion name |
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|bioclim_14 |Precipitation of Driest Month |
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|bioclim_13 |Precipitation of Wettest Month |
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|bioclim_8 |Mean Temperature of Wettest Quarter |
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|bioclim_1 |Annual Mean Temperature |
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|bioclim_6 |Min Temperature of Coldest Month |
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|bioclim_12 |Annual Precipitation |
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|bioclim_15 |Precipitation Seasonality (Coefficient of Variation) |
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|bioclim_7 |Temperature Annual Range (BIO5-BIO6) |
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|bioclim_9 |Mean Temperature of Driest Quarter |
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|bioclim_3 |Isothermality (BIO2/BIO7) (×100) |
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|bioclim_4 |Temperature Seasonality (standard deviation ×100) |
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|bioclim_16 |Precipitation of Wettest Quarter |
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|bioclim_11 |Mean Temperature of Coldest Quarter |
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|bioclim_18 |Precipitation of Warmest Quarter |
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|bioclim_5 |Max Temperature of Warmest Month |
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|bioclim_2 |Mean Diurnal Range (Mean of monthly (max temp - min temp)) |
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|bioclim_19 |Precipitation of Coldest Quarter |
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|bioclim_10 |Mean Temperature of Warmest Quarter |
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|bioclim_17 |Precipitation of Driest Quarter |
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|land_use |North American Environmental Atlas Land Cover |
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|soil_type |Harmonized World Soil Database V 2.0 |
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|supervised |Whether the image is labeled |
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|single_image |Whether this image is a unique observation |
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|year |Year image taken |
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|human_footprint |Human Footprint index (Wilderness to Modified) |
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|not_city_nature |Train and Test images taken outside of the city nature challenge |
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|city_nature |Train and Test images taken in the city nature challenge |
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|alaska_socioeco |Train and Test images in Alaska |
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|arizona_socioeco |Train and Test images in Arizona |
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|baja_california_socioeco |Train and Test images in Baja California |
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|baja_california_sur_socioeco|Train and Test images in Baja California Sur |
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|british_columbia_socioeco |Train and Test images in British Columbia |
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|california_socioeco |Train and Test images in California |
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|nevada_socioeco |Train and Test images in Nevada |
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|oregon_socioeco |Train and Test images in Oregon |
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|sonora_socioeco |Train and Test images in Sonora |
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|washington_socioeco |Train and Test images in Washington |
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|yukon_socioeco |Train and Test images in Yukon |
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|obs_engaged |Train and Test images taken by Engaged Observers (users with more than 1,000 unique observations) |
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|obs_casual |Train and Test images taken by Casual Observers (users with less than 50 unique observations) |
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|spatial_wilderness |Train and Test images from Wilderness regions |
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|spatial_modified |Train and Test images from Human Modified regions |
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|inat2021 |Train and Test images from iNat21 |
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|inat2021mini |Train and Test images from iNat21 Mini |
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|imagenet |Train and Test images from ImageNet |
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|spatial_split |Spatially stratified sampled Train and Test images |
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|taxonomic_balanced |Taxonomically balanced Train and Test images |
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|taxonomic_unbalanced |Taxonomicall unbalance Train and Test images |
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## Citation
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```
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@article{Sierra_Gillespie_Soltani_Exposito-Alonso_Kattenborn_2025,
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author = {Sierra, Elena and Gillespie, Lauren E. and Soltani, Salim and Exposito-Alonso, Moises and Kattenborn, Teja},
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doi = {10.1609/aaai.v39i27.35060},
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journal = {Proceedings of the AAAI Conference on Artificial Intelligence},
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month = {Apr.},
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number = {27},
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pages = {28386-28396},
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title = {DivShift: Exploring Domain-Specific Distribution Shifts in Large-Scale, Volunteer-Collected Biodiversity Datasets},
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url = {https://ojs.aaai.org/index.php/AAAI/article/view/35060},
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volume = {39},
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year = {2025},
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bdsk-url-1 = {https://ojs.aaai.org/index.php/AAAI/article/view/35060},
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bdsk-url-2 = {https://doi.org/10.1609/aaai.v39i27.35060}
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}
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```
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## References
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- iNaturalist: www.inaturalist.org
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