Un-comment and correct details section for existing info

README.md

@@ -32,9 +32,10 @@ Collection of ground beetle specimen images; specimens collected by the [U.S. Na
 ## 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
+
+- **Curated by:** S M Rayeed, Mridul Khurana, Alyson East, Samuel Stevens, Iuliia Zarubiieva, Jiaman (Lisa) Wu, Isadora E. Fluck, Scott C. Lowe, Elizabeth G. Campolongo, Evan D. Donoso, Tanya Berger-Wolf, Hilmar Lapp, Charles V Stewart, Graham W. Taylor, and Sydne Record
 - **Language(s):** English; Latin
+<!--
 - **Homepage:**
 - **Repository:**
 --> 
@@ -169,7 +170,7 @@ Images and associated metadata: [Creative Commons Attribution 4.0](https://creat
 
 ## Citation
 
-If you use this dataset in your research, please cite both the dataset and our paper.
+If you use this dataset in your research, please cite the dataset, source data (specimen collection), and our paper. Please also include the NEON acknowledgements (provided below) in your work.
 
 **Dataset:**
 
@@ -185,6 +186,13 @@ Campolongo and Evan D. Donoso and Tanya Berger-Wolf and Hilmar Lapp and Charles
 }
 ```
 
+**Specimens:**
+
+```bibtex
+
+
+```
+
 **Paper:** Coming Soon!
 
 <!-- 
@@ -195,6 +203,7 @@ Campolongo and Evan D. Donoso and Tanya Berger-Wolf and Hilmar Lapp and Charles
 -->
 
 
+
 ## 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). 
@@ -203,6 +212,6 @@ This dataset draws on research supported by the Social Sciences and Humanities R
 
 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) (EPSCOR Research Fellows: NSF: Advancing National Ecological Observatory Network-Enabled Science and Workforce Development at the University of Maine with Artificial Intelligence) 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 [U.S. National Ecological Observatory Network (NEON)](https://www.neonscience.org/), a program sponsored by the [U.S. National Science Foundation (NSF)](https://www.nsf.gov/) and operated under cooperative agreement by [Battelle](https://www.battelle.org/). Furthermore, this material uses specimens and/or samples collected as part of the NEON Program.
+This material is based in part upon work supported by the [U.S. National Ecological Observatory Network (NEON)](https://www.neonscience.org/), a program sponsored by the [U.S. National Science Foundation (NSF)](https://www.nsf.gov/) and operated under cooperative agreement by [Battelle](https://www.battelle.org/). This material uses specimens and/or samples collected as part of the NEON Program.
 
 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, the Natural Sciences and Engineering Research Council of Canada, or the Social Sciences and Humanities Research Council.