Add files using upload-large-folder tool

README.md

@@ -16,6 +16,8 @@ configs:
   data_files: "egyptian_fruit_bat/*"
 - config_name: giant_otter
   data_files: "giant_otter/*"
+- config_name: macaque
+  data_files: "macaque/*"
 - config_name: orca
   data_files: "orca/*"
 - config_name: zebra_finch
@@ -36,11 +38,94 @@ This dataset contains audio recordings of various animal vocalizations from a ra
 
 The dataset is designed to be lightweight and modular, making it easy to explore cross-species vocal behaviors or train models for species-specific tasks.
 
-This work is inspired by the excellent [Earth Species Project Library of Datasets](https://github.com/earthspecies/library).
+This work is inspired by the excellent [Earth Species Project Library of Datasets](https://github.com/earthspecies/library), which also offers some additonal datasets.
 
+---
+
+## Birds
+
+This dataset consists of songs and calls from 87 bird species and was originally released as part of the NIPS4B challenge.
+
+- **Recordings**: 686  
+- **Labels**: Multi-label per recording  
+- **Sample rate**: 44,100 Hz  
+- **Duration**: ~1s to ~5s  
+- **Download**: [Internet Archive](https://archive.org/download/bird_songs)
+
+---
+
+## Dogs
+
+This dataset consists of 693 recordings from 10 adult dogs (ages 3–13), recorded in three contexts: disturbance (e.g., doorbell ringing), isolation, and play.
+
+- **Device**: DCR VX2000 video recorder with built-in omni-directional mic  
+- **Sample rate**: 48,000 Hz (16-bit)  
+- **Download**: [Preprocessed](https://archive.org/details/dog_barks) | [Raw](https://archive.org/details/dog-barks-raw)  
+- **Citation**: Yin, S. & McCowan, B. (2004). *Animal Behaviour*, 68, 343–355.
+
+---
+
+## Egyptian Fruit Bats
+
+This dataset includes 10,000 recording. They are divided between the `egyptian_fruit_bat` and `egyptian_fruit_bat_extended` splits. Another larger sample (~90,000 samples) is available at the Internet Archive.
+
+In this repo, there are 10,000 recordings (1,000 per class), 4.9 GB.
+
+- **Sample rate**: 250,000 Hz  
+- **Duration**: 0.02 to 34 seconds  
+- **Labels**: Emitter, addressee, context, and behavior annotations  
+- **Download**: [Internet Archive – 10k](https://archive.org/details/egyptian_fruit_bats_10k)
+
+---
+
+## Giant Otters
 
+This dataset includes 441 recordings across 22 vocalization types, collected between 2009–2011 by Christina A. S. Mumm and Mirjam Knörnschild.
 
+- **Microphone**: Sennheiser MKH 416-P48U3  
+- **Recorders**: Zoom H2 Handy (48 or 96 kHz), with hydrophone (RESON TC4013) for underwater calls  
+- **Bit depth**: 24-bit  
+- **Download**: [Internet Archive](https://archive.org/details/giant_otters)  
+- **Citation**: Mumm, C.A.S. & Knörnschild, M. (2016). *PLOS ONE*. [DOI](https://doi.org/10.1371/journal.pone.0112562)
+
+---
+
+## Macaques
+
+This dataset contains 7,285 macaque coo calls from 8 individuals (4 males, 4 females), annotated at the individual level.
+
+- **Sample rate**: 5,756 files at 24,414 Hz, 1,529 at 44,100 Hz  
+- **Duration**: 0.04s to 1.69s  
+- **Download**: [Internet Archive](https://archive.org/details/macaque_coo_calls)  
+- **Citation**: [PMC Article](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4806230/)
+
+---
+
+## Orcas
+
+This dataset comes from the Orcasound Project and contains two versions:
+
+- **Classification version**: 4-second clips, 398 positive and 196 negative examples  
+- **Sample rate**: 44,100 Hz  
+- **Download**: [Internet Archive](https://archive.org/details/orcas_classification)
+
+---
+
+## Zebra Finches
+
+Collected between 2011–2014 by Julie E. Elie at UC Berkeley using zebra finches from the Theunissen Lab colony.
+
+- **Recordings**: 3,405 across 11 call types  
+- **Subjects**: Adults and ~30-day-old juveniles  
+- **Labels**: Call type, individual, age  
+- **Sample rate**: Not specified  
+- **Download**: [Figshare](https://ndownloader.figshare.com/articles/11905533/versions/1)  
+- **Citations**:  
+  - Elie & Theunissen (2016). *Anim Cogn*. [DOI](https://doi.org/10.1007/s10071-015-0933-6)  
+  - Elie & Theunissen (2018). *Nat Commun*. [DOI](https://doi.org/10.1038/s41467-018-06394-9)
+
+---
 
+## Citation
 
-Macaques:
-https://pmc.ncbi.nlm.nih.gov/articles/PMC4806230/
+If you use this collection, please cite the original sources provided in each section above.