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animals +- CV +- Hawaiian birds +size_categories: 1K + + + + + +# Dataset Card for upper_waiakea_passive_recordings + + + +## Dataset Details + + + +### Dataset Description +This is a dataset containing unlabelled, unprocessed passive acoustic recordings of Hawaiian birds in the Upper Waiākea Forst Reserve in Hawaii. This dataset is intended for use in unsupervised audio analysis methods, classification using existing models, and other machine learning and ecology research purposes. + +- **Curated by:** Namrata Banerji, Jacob Beattie, Hikaru Keebler, Kate Nepovinnykh + +- **Homepage:** +- **Repository:** [related project repo] +- **Paper:** + + + +[More Information Needed] + + + + +### 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 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. + +The dataset contains ~1623 hours of recording from 19 different recorders located in the Upper Waiākea Forest Reserve. + +## Dataset Structure + +/kipuka_data/ + / + _Summary.txt + Data/ + _YYYYMMDD_HHMMSS.wav + ... + / + ... + ... + kipuka_metadata.csv + +### Data Instances +All audio files are named (recorder_id)-YYYYMMDD-HHMMSS.wav inside a folder named after the recorder id. Each recording is 1 hour long + +### Data Fields + +recorder_id,card_code,point_id,HDD Path,Deployment Date,Retrieval Date,Latitude,Longitude + +**kipuka_metadata.csv** + - `recorder_id`: Unique identifier for each recorder + - `card_code`: Unique identifier for SD card used in each recorder + - `point_id`: Unique identifier for each point where a recorder was placed + - `Deployment Date`: Date the recorder was deployed + - `Retrieval Date`: Date the recorder was retrieved. + - `Latitude`: Latitude of recorder + - `Longitude`: Longitude of recorder + +### Data Splits +Only one data split: `data`. If being used for training/testing/validation of models, splits must be made manually. + + +## 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 Center. This field work was done on the island of Hawai'i January 15-30, 2025. + +### Curation Rationale +This dataset was created in order to study Apapane call variation across kipuka. Passive acoustic monitoring was done to capture Apapane calls across varying kipuka. + + +### Source Data +These data were originally created by placing recorders in kipuka on Hawaii island, recording bird calls. + + + +#### 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. + +#### Who are the source data producers? +These data are produced by members of the ABC Global Center. + + + +## Considerations for Using the Data +These data are unlabelled, unprocessed, and may still contain significant noise. Employing source separation or audio preprocessing methods may be beneficial to downstream analyses. Also note, humans or vehicles may be audible in some recorders due to the presence of cars, helicopters, or people. + + +### Bias, Risks, and Limitations +[More Information Needed] + + + + +### Recommendations +[More Information Needed] + + +## Licensing Information +This dataset is available to share and adapt for any use under the [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) license, provided appropriate credit is given. We ask that you cite this dataset if you make use of these data in any work or product. + + + +## Citation +[More Information Needed] + +**BibTeX:** + + + + + +## Acknowledgements + +This work was supported by both the [Imageomics Institute](https://imageomics.org) and the [AI and Biodiversity Change (ABC) Global Center](https://abcresearchcenter.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). 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 National Science Foundation or Natural Sciences and Engineering Research Council of Canada. + + +TODO: Add NEON Acknowledgement + +## Glossary + + + +## More Information + + + +## Dataset Card Authors + +[More Information Needed] + +## Dataset Card Contact + +[More Information Needed--optional] + diff --git a/check.py b/check.py new file mode 100644 index 0000000000000000000000000000000000000000..21d7e71e867861ec2c406ec7241b021957aff7cf --- /dev/null +++ b/check.py @@ -0,0 +1,66 @@ +import os +from datetime import datetime +import wave +import contextlib + +base_dir = os.path.dirname(os.path.abspath("__file__")) # Gets the script's directory + +# Output file +output_file = os.path.join(base_dir, "recorder_data_summary.txt") +current_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S") + +def get_wav_duration(file_path): + try: + with contextlib.closing(wave.open(file_path, 'r')) as wf: + frames = wf.getnframes() + rate = wf.getframerate() + return frames / float(rate) # Duration in seconds + except Exception as e: + print(f"Error reading {file_path}: {e}") + return 0 # Return 0 if there's an error + +with open(output_file, "w") as f: + f.write(f"Summary generated on: {current_time}\n") # Write timestamp + f.write("Folder, File Count, Total Size (MB), <59min Count, >=59min Count, Total Duration (hour)\n") + + # Loop through each subfolder (A, B, C) + for folder in os.listdir(base_dir): + folder_path = os.path.join(base_dir, folder) + + # Ensure it's a directory + if os.path.isdir(folder_path): + data_folder = os.path.join(folder_path, "Data") + + if os.path.exists(data_folder) and os.path.isdir(data_folder): + # Initialize counters + file_count = 0 + total_size_bytes = 0 + short_wavs = 0 + long_wavs = 0 + total_duration = 0 # In seconds + + for file in os.listdir(data_folder): + file_path = os.path.join(data_folder, file) + + # Only process .wav files + if file.endswith(".wav"): + file_count += 1 + total_size_bytes += os.path.getsize(file_path) + + # Get the duration of the file + duration_sec = get_wav_duration(file_path) + total_duration += duration_sec + + if duration_sec < 59 * 60: + short_wavs += 1 + else: + long_wavs += 1 + + # Convert total size to MB + total_size_mb = total_size_bytes / (1024 * 1024) + total_duration_hr = total_duration / 3600 # Convert seconds to hours + + # Write to the summary report + f.write(f"{folder}, {file_count}, {total_size_mb:.4f}, {short_wavs}, {long_wavs}, {total_duration_hr:.2f}\n") + +print(f"Summary report saved to {output_file}") diff --git a/kipuka_metadata.csv b/kipuka_metadata.csv new file mode 100644 index 0000000000000000000000000000000000000000..6800ceb879524455b1837b167be848e686762730 --- /dev/null +++ b/kipuka_metadata.csv @@ -0,0 +1,21 @@ +2mm_id,card_code,point_id,HDD Path,OSC Path,Confirmed SD # Correct,Packed,Deployment Date,Retrieval Date +2MM01654,MSD-4525,-,,,Yes,Yes,, +2MM01007,MSD-4524,k00,/Kipuka Data/2MM01007/,,Yes,Yes,22-Jan-2025,28-Jan-2025 +2MM01345,MSD-4534,k03,/Kipuka Data/2MM01345/,,Yes,Yes,22-Jan-2025,28-Jan-2025 +2MM01707,MSD-4532,k04,/Kipuka Data/2MM01707/,,Yes,Yes,21-Jan-2025,28-Jan-2025 +2MM00549,MSD-4536,k07,/Kipuka Data/2MM00549/,,Yes,Yes,21-Jan-2025,28-Jan-2025 +2MM01655,MSD-4516,k08,/Kipuka Data/2MM01655/,,Yes,Yes,21-Jan-2025,28-Jan-2025 +2MM01323,MSD-4531,k10,/Kipuka Data/2MM01323/,,Yes,Yes,21-Jan-2025,28-Jan-2025 +2MM00471,MSD-4522,k11,/Kipuka Data/2MM00471/,,Yes,Yes,22-Jan-2025,28-Jan-2025 +2MM01340,MSD-4518,k15,/Kipuka Data/2MM01340/,,Yes,Yes,22-Jan-2025,28-Jan-2025 +2MM01186,MSD-4517,k17,/Kipuka Data/2MM01186/,,Yes,Yes,22-Jan-2025,28-Jan-2025 +2MM01690,MSD-4520,k18,/Kipuka Data/2MM01690/,,Yes,Yes,22-Jan-2025,28-Jan-2025 +2MM00926,MSD-4530,k21,/Kipuka Data/2MM00926/,,Yes,Yes,22-Jan-2025,28-Jan-2025 +2MM01028,MSD-4529,k22,/Kipuka Data/2MM01028/,,Yes,Yes,22-Jan-2025,28-Jan-2025 +2MM00813,MSD-4519,k23,/Kipuka Data/2MM00813/,,Yes,Yes,22-Jan-2025,28-Jan-2025 +2MM01695,MSD-4522,k24,/Kipuka Data/2MM01695/,,Yes,Yes,22-Jan-2025,28-Jan-2025 +2MM01631,MSD-4531,k25,/Kipuka Data/2MM01631/,,Yes,Yes,22-Jan-2025,28-Jan-2025 +2MM01088,MSD-4521,k26,/Kipuka Data/2MM01088/,,Yes,Yes,22-Jan-2025,28-Jan-2025 +2MM01339,MSD-4533,k27,/Kipuka Data/2MM01339/,,Yes,Yes,22-Jan-2025,28-Jan-2025 +2MM01356,MSD-4523,k28,/Kipuka Data/2MM01356/,,Yes,Yes,22-Jan-2025,28-Jan-2025 +2MM01792,MSD-4515,k29,/Kipuka Data/2MM01792/,,Yes,Yes,22-Jan-2025,28-Jan-2025 \ No newline at end of file diff --git a/kipuka_metadata_with_latlong.csv b/kipuka_metadata_with_latlong.csv new file mode 100644 index 0000000000000000000000000000000000000000..e1fe1d4bebe5609b706f3f91cc60b218d9b183c2 --- /dev/null +++ b/kipuka_metadata_with_latlong.csv @@ -0,0 +1,21 @@ +recorder_id,card_code,point_id,HDD Path,Deployment Date,Retrieval Date,Latitude,Longitude +2MM01654,MSD-4525,-,,,, +2MM01007,MSD-4524,k00,22-Jan-2025,28-Jan-2025,19.6749362,-155.3291983 +2MM01345,MSD-4534,k03,22-Jan-2025,28-Jan-2025,19.6702699,-155.3583000 +2MM01707,MSD-4532,k04,21-Jan-2025,28-Jan-2025,19.6678375,-155.3696367 +2MM00549,MSD-4536,k07,21-Jan-2025,28-Jan-2025,19.6547629,-155.3702900 +2MM01655,MSD-4516,k08,21-Jan-2025,28-Jan-2025,19.6516330,-155.3641660 +2MM01323,MSD-4531,k10,21-Jan-2025,28-Jan-2025,19.6480679,-155.3705009 +2MM00471,MSD-4522,k11,22-Jan-2025,28-Jan-2025,19.6451856,-155.3636644 +2MM01340,MSD-4518,k15,22-Jan-2025,28-Jan-2025,19.6365556,-155.3629722 +2MM01186,MSD-4517,k17,22-Jan-2025,28-Jan-2025,19.6464120,-155.3618840 +2MM01690,MSD-4520,k18,22-Jan-2025,28-Jan-2025,19.6479539,-155.3606570 +2MM00926,MSD-4530,k21,22-Jan-2025,28-Jan-2025,19.6336660,-155.3689780 +2MM01028,MSD-4529,k22,22-Jan-2025,28-Jan-2025,19.6746680,-155.3316169 +2MM00813,MSD-4519,k23,22-Jan-2025,28-Jan-2025,19.6747729,-155.3339640 +2MM01695,MSD-4522,k24,22-Jan-2025,28-Jan-2025,19.6363890,-155.3700390 +2MM01631,MSD-4531,k25,22-Jan-2025,28-Jan-2025,19.6336680,-155.3751530 +2MM01088,MSD-4521,k26,22-Jan-2025,28-Jan-2025,19.6315500,-155.3776630 +2MM01339,MSD-4533,k27,22-Jan-2025,28-Jan-2025,19.6350440,-155.3729460 +2MM01356,MSD-4523,k28,22-Jan-2025,28-Jan-2025,19.6347810,-155.3637119 +2MM01792,MSD-4515,k29,22-Jan-2025,28-Jan-2025,19.6325259,-155.3652350 \ No newline at end of file diff --git a/recorder_data_summary.txt b/recorder_data_summary.txt new file mode 100644 index 0000000000000000000000000000000000000000..93b90418c5d40cc73dbfa428dea810e6b7256e60 --- /dev/null +++ b/recorder_data_summary.txt @@ -0,0 +1,21 @@ +Summary generated on: 2025-02-14 11:35:04 +Folder, File Count, Total Size (MB), <59min Count, >=59min Count, Total Duration (hour) +2MM00549, 95, 15161.5546, 4, 91, 92.00 +2MM01345, 83, 13184.8798, 4, 79, 80.01 +2MM01340, 88, 14078.0845, 4, 84, 85.43 +2MM01695, 87, 14055.8028, 3, 84, 85.29 +2MM00813, 80, 12975.0388, 3, 77, 78.73 +2MM01690, 85, 13734.8250, 3, 82, 83.34 +2MM01356, 87, 14068.1153, 3, 84, 85.37 +2MM01186, 86, 13741.1259, 3, 83, 83.38 +2MM01792, 87, 14061.7154, 3, 84, 85.33 +2MM01707, 99, 15928.7895, 3, 96, 96.66 +2MM00926, 88, 14044.4240, 3, 85, 85.22 +2MM01028, 82, 12835.9001, 5, 77, 77.89 +2MM01088, 88, 14064.3990, 4, 84, 85.34 +2MM01007, 79, 12666.8419, 3, 76, 76.86 +2MM01631, 87, 14077.6402, 3, 84, 85.42 +2MM00471, 86, 13772.1017, 3, 83, 83.57 +2MM01323, 99, 15589.7840, 5, 94, 94.60 +2MM01655, 97, 15451.0132, 4, 93, 93.76 +2MM01339, 89, 14100.2859, 4, 85, 85.56