Update README.md

Add citation, update course dates

README.md

@@ -45,14 +45,14 @@ To render LaTex in your README, wrap the code in `\\(` and `\\)`. Example: \\(\f
 Escape underscores ("_") with a "\". Example: image\_RGB
 -->
 
-# Dataset Card for upper_waiakea_passive_recordings
+# Dataset Card for Upper Waiākea Forest Reserve Passive Recordings
 
 <!-- Provide a quick summary of what the dataset is or can be used for. --> 
 
 ## Dataset Details
 
 ### Dataset Description
-- **Curated by:** Namrata Banerji, Jacob Beattie, Hikaru Keebler, Kate Nepovinnykh
+- **Curated by:** Namrata Banerji, Ekaterina Nepovinnykh, Jacob Beattie, Hikaru Keebler, Leonardo Teixeira Viotti, Amanda Navine, Patrick Hart, Mike Long, Shea Uehana, Eissas Ouk, Evan Donoso, Avery Dean, Ann Carey, Tanya Berger-Wolf, and Kaiya Provost
 <!-- Provide the basic links for the dataset. These will show up on the sidebar to the right of your dataset card ("Curated by" too). -->
 - **Repository:** [https://github.com/Imageomics/amakiki-project]
 
@@ -60,7 +60,7 @@ Escape underscores ("_") with a "\". Example: image\_RGB
 This is a dataset containing unlabelled, unprocessed passive acoustic recordings of Hawaiian birds in the [Upper Waiākea Forst Reserve in Hawaii](https://dlnr.hawaii.gov/forestry/frs/reserves/hawaii-island/upper-waiakea/). This dataset is intended for use in unsupervised audio analysis methods, classification using existing models, and other machine learning and ecology research purposes. 
 
 ### Supported Tasks and Leaderboards
-This dataset contains passive acoustic recordings collected as part of the Experiential Introduction to AI and Ecology course through the [Imageomics Institute](https://github.com/imageomics) and [ABC Global Center](https://www.abcresearchcenter.org/) during January 2025.
+This dataset contains passive acoustic recordings collected as part of the Fall 2024/Spring 2025 Experiential Introduction to AI and Ecology course through the [Imageomics Institute](https://github.com/imageomics) and [ABC Global Center](https://www.abcresearchcenter.org/) during January 2025.
 
 This dataset is intended for use with unsupervised computer vision or acoustic machine learning models. No labels are provided, but recorder locations and recording timestamps are included, allowing for analysis of the relationship between ecological factors and variations in birdsong.
 
@@ -197,7 +197,17 @@ This dataset (the compilation) has been marked as dedicated to the public domain
 -->
 
 ## Citation
-[More Information Needed]
+```
+@misc{
+  upper_waiakea_pam,
+  title = {Upper Waiākea Forest Reserve Passive Recordings},
+  year = {2025},
+  url = {https://huggingface.co/datasets/imageomics/upper-waiakea-PAM},
+  author = {Banerji, Namrata and Nepovinnykh, Ekaterina and Beattie, Jacob and Keebler, Hikaru and Teixeira Viotti, Leonardo and Navine, Amanda and Hart, Patrick and Long, Mike and Uehana, Shae and Ouk, Eissas and Donoso, Evan and Dean, Avery and Carey, Ann and Tanya, Berger-Wolf and Provost, Kaiya},
+  doi = {coming soon}
+  publisher = {Hugging Face}
+}
+```
 
 **BibTeX:**
 <!--
@@ -246,7 +256,7 @@ This work was supported by both the [Imageomics Institute](https://imageomics.or
 
 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.
 
-Additionally, we would like to thank Patrick Hart, the [UH Hilo LOHE Lab](https://lohelab.org/), and the [Upper Waiākea Forst Reserve in Hawaii](https://dlnr.hawaii.gov/forestry/frs/reserves/hawaii-island/upper-waiakea/).
+Additionally, we would like to thank Patrick Hart from UH Hilo, Ben Gottesman and Aaron Rice from the Cornell Lab of Ornithology, the [UH Hilo LOHE Lab](https://lohelab.org/), and the [Upper Waiākea Forst Reserve in Hawaii](https://dlnr.hawaii.gov/forestry/frs/reserves/hawaii-island/upper-waiakea/).
 
 <!-- ## Glossary -->