added readme and metadata

README.md

@@ -1,3 +1,138 @@
----
-license: cc-by-4.0
----
+---
+license: cc-by-4.0
+language:
+- en
+- la
+pretty_name: Hawaii_Beetles
+tags: 
+- ecology
+- animals
+- beetles
+- image
+- computer vision
+- segmentation
+- species
+- imageomics
+- elytra
+- pinned specimens
+- Hawaii
+- Carabidae
+task_categories:
+- image-classification
+- image-segmentation
+- object-detection
+
+size_categories: 1K<n<10K # ex: n<1K, 1K<n<10K, 10K<n<100K, 100K<n<1M, ...
+---
+
+<div align="justify">
+
+# Dataset Card for Hawaii_Beetles
+
+<!-- Provide a quick summary of what the dataset is or can be used for. --> 
+
+## Dataset Details
+
+### Dataset Description
+<!--
+- **Curated by:** Lisa Wu, S M Rayeed, Mridul Khurana, Alyson East, Samuel Stevens, Iuliia Eyriay, Scott Lowe, Graham Taylor, Sydne Record
+- **Language(s):** English; Latin <!-- Provide the basic links for the dataset. These will show up on the sidebar to the right of your dataset card ("Curated by" too).
+- **Homepage:** https://huggingface.co/datasets/imageomics/beetle-intake/tree/main
+- **Repository:** https://github.com/Imageomics/beetle-intake
+- **Paper:** [[Paper Link]](https://github.com/Imageomics-ABC-edu/final-project-beetles/blob/main/Beetle-Intake-report.pdf)
+
+--> 
+
+This dataset contains 1614 high-resolution PNG images of individual ground-beetle
+specimens (Coleoptera : Carabidae) collected by the U.S. National Ecological
+Observatory Network (NEON).
+
+### Key Uses
+* species-level classification or retrieval  
+* object detection / instance segmentation on natural-history collections  
+* automated extraction of morphological traits (elytra length)  
+* ecological modelling via linkage to NEON environmental streams  
+
+## Dataset Structure
+
+```
+/group_images
+    IMG_<id>.jpg
+    ...
+/individual_specimens
+    IMG_<id>_specimen_<number>.png
+    ...
+metadata.csv
+README.md
+```
+
+### Data Fields
+**metadata.csv**:
+- `individualImageFilePath`: Path to the individually cropped beetle image, e.g., `individual_specimens/IMG_<id>_specimen_<number>.png`, where `<id>` matches the group image and `<number>` indicates the beetle's position within that group image.
+- `groupImageFilePath`: Path to grouped beetle images. e.g., `group_images/IMG_<id>.jpg` where `IMG_<id>` is the image name assigned by the camera roll.
+- `individualID`: Unique identification number assigned to each individual beetle. This begins with NEON_BET.D20 to show that the unique ID corresponds to a beetle from the National Ecological Observatory Network's Domain 20, followed by six digits.
+- `taxonID`: All pinned beetles in this dataset have been identified to genus and species. Here a six-letter code is given specifiying the first three letters of the genus followed by the first three letters of the specific epithet.
+- `ScientificName`: Binomial scientific name of the specimen.
+- `plotID`: A code that corresponds to the NEON plot in which the individual beetle was collected.
+- `trapID`: The cardinal direction (E - east, S - south, W - west) indicating which side of the plot the beetle was collected from.
+- `plotTrapID`: A three letter code that corresponds to the NEON plot in which the individual beetle was collected along with direction.
+- `collectDate`: The date of field collection of the pitfall trap from which NEON staff collected the beetle specimen. It follows the `YYYYMMDD` format.
+- `ownerInstitutionCode`: NEON owner code
+- `catalogNumber`: NEON catalog number
+
+
+## Dataset Creation
+
+This dataset was compiled as part of the field component of the Experiential Introduction to AI and Ecology Course run by the Imageomics Institute and the AI and Biodiversity Change (ABC) Global Climate Center. This field work was done on the island of Hawai'i January 15-29, 2025.
+
+### Curation Rationale
+<!-- Motivation for the creation of this dataset. For instance, what you intended to study and why that required curation of a new dataset (or if it's newly collected data and why the data was collected (intended use)), etc. -->
+Ground beetles (Coleoptera: Carabidae) serve as critical bioindicators for ecosystem health, providing valuable insights into biodiversity shifts driven by environmental changes. Understanding their distribution, morphological traits, and responses to environmental conditions is essential for ecological research and conservation efforts. While the National Ecological Observatory Network (NEON) maintains an extensive collection of carabid specimens, these primarily exist as physical collections, restricting widespread research access and large-scale analysis. Despite the ecological significance of invertebrates, global trait databases remain heavily biased toward vertebrates and plants, leaving a critical “invertebrate gap” that hinders comprehensive ecological analyses, particularly for hyper-diverse groups like carabids. Existing beetle datasets lack standardized, high-resolution trait measurements like those provided here, limiting trait-based ecological studies. Morphological traits, such as elytra length and width, are paramount because they directly link to ecological processes like dispersal, niche partitioning, and responses to environmental stressors, enabling predictive modeling of biodiversity under global change.
+
+### Source Data
+
+The specimens come from the PUUM [NEON site](https://www.neonscience.org/field-sites/explore-field-sites). For more information about general NEON data, please see their [Ground beetles sampled from pitfall traps page](https://data.neonscience.org/data-products/DP1.10022.001). 
+
+Our team photographed the beetles in 2025, using Canon EOS DSLR (model 7D).
+
+#### Data Collection and Processing
+<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, re-sizing of images, tools and libraries used, etc. 
+This is what _you_ did to it following collection from the original source; it will be overall processing if you collected the data initially.
+-->
+Beetles were collected by PUUM NEON field technicians from 2018 through 2024.
+
+Specimens and identification are provided by [NEON Ground beetles sampled from pitfall traps](https://data.neonscience.org/data-products/DP1.10022.001)
+
+
+### Personal and Sensitive Information
+<!-- 
+For instance, if your data includes people or endangered species. -->
+Our data does not contain any personal and sensitive Information.
+
+## Licensing Information
+
+Images and associated metadata: [Creative Commons BY 4.0](https://creativecommons.org/licenses/by/4.0/).
+
+## Acknowledgements
+
+This work was supported by both the [Imageomics Institute](https://imageomics.org) and the [AI and Biodiversity Change (ABC) Global Center](https://www.biodiversityai.org/). The Imageomics Institute is funded by the US National Science Foundation's Harnessing the Data Revolution (HDR) program under [Award #2118240](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2118240) (Imageomics: A New Frontier of Biological Information Powered by Knowledge-Guided Machine Learning). 
+The ABC Global Center is funded by the US National Science Foundation under [Award No. 2330423](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2330423&HistoricalAwards=false) and Natural Sciences and Engineering Research Council of Canada under [Award No. 585136](https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=782440).
+
+S. Record and A. East were additionally supported by the US National Science Foundation's [Award No. 242918](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2429418&HistoricalAwards=false) and by Hatch project Award #MEO-022425 from the US Department of Agriculture’s National Institute of Food and Agriculture. 
+
+This material is based in part upon work supported by the National Ecological Observatory Network (NEON), a program sponsored by the U.S. National Science Foundation (NSF) and operated under cooperative agreement by Battelle.
+
+Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the US National Science Foundation, the US Department of Agriculture, or Natural Sciences and Engineering Research Council of Canada.
+
+<!-- ## Citation
+```bibtex
+@dataset{rayeed2025neoncarabids,
+  title  = {NEON Carabids},
+  author = {S M Rayeed and Mridul Khurana and Alyson East and Samuel Stevens and Iuliia
+Zarubiieva and Jiaman (Lisa) Wu and Isadora E. Fluck and Scott C. Lowe and Elizabeth G.
+Campolongo and Evan D. Donoso and Tanya Berger-Wolf and Hilmar Lapp and Charles V.
+Stewart and Graham W. Taylor and Sydne Record},
+  year   = {2025},
+  url    = {https://huggingface.co/datasets/imageomics/beetle-intake},
+  note   = {Version 1.0, CC-BY-4.0 / CC-BY-SA-4.0}
+} -->