Update README.md

README.md

@@ -121,10 +121,10 @@ These data were originally created by placing recorders in kipuka in the Upper W
 <!-- This section describes the source data (e.g., news text and headlines, social media posts, translated sentences, ...). As well as an original source it was created from (e.g., sampling from Zenodo records, compiling images from different aggregators, etc.) -->
 
 #### Data Collection and Processing
-Recorder locations were selected based on historic datasets (specifically data from Patrick Hart from UH Hilo). These data have significant overlap with historic data, while retaining only minimally sufficient overlap with recently collected data to allow for calibration between datasets. 
+Recorder locations were selected to replicate recorder locations from previous work by [Sebastián-González, E. and Hart, P.J. (2017)](https://doi.org/10.1111/oik.04531). These data have significant overlap the previous recorder locations, while retaining only minimally sufficient overlap with recently collected data to allow for calibration between datasets. 
 
 #### Who are the source data producers?
-These data are produced by members of the ABC Global Center.
+These data are produced by members of the ABC Global Center and Imageomics Institute, with data collection led by Patrick Hart, Leonardo Viotti, Namrata Banerji, Ekaterina Vepovinnkh, Hikaru Keebler, and Tanya Berger-Wolf, and assistance from students in the AI for Ecology Course.
 <!-- This section describes the people or systems who originally created the data.
 
 Ex: This dataset is a collection of images taken of the butterfly collection housed at the Ohio State University Museum of Biological Diversity. The associated labels and metadata are the information provided with the collection from biologists that study butterflies and supplied the specimens to the museum.
@@ -148,7 +148,7 @@ Additionally, the number of calls recorded for each species is likely long-taile
 <!-- For instance, if your data exhibits a long-tailed distribution (and why). -->
 
 ### Recommendations
-Consider the impact that raw, unprocessed data may have on use cases fpr these data. Employing source separation or audio preprocessing methods may be beneficial to downstream analyses.
+Consider the impact that raw, unprocessed data may have on use cases for these data. Employing source separation or audio preprocessing methods may be beneficial to downstream analyses.
 <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
 
 ## Licensing Information
@@ -217,6 +217,8 @@ 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/).
+
 <!-- ## Glossary -->
 
 <!-- [optional] If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->