Ecoacoustic Study Design Variation: Impact on Acoustic Indices and AudioSet Fingerprints

Name: Ecoacoustic Study Design Variation: Impact on Acoustic Indices and AudioSet Fingerprints
Creator: Zenodo
Published: 2021-08-02T10:10:59+08:00

Zenodo2021-08-02 更新2026-05-25 收录

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Description: Acoustic Index and AudioSet Fingerprint data quantified derived from audio recorded between the 26th of February and the 2nd March 2019. The original raw audio was compressed, shortened and temporally subset to replicate common inconsistencies in ecoacoustic studies. This data frame show how this experimental variation affects how soundscapes are quantified by Analytical Indices and the AudioSet FingerprintProject: This dataset was collected as part of the following SAFE research project: 3D Acoustics for Audio Monitoring of Rainforest Biodiversity Funding: These data were collected as part of research funded by: NERC (NERC QMEE CDT Studentship, NE/P012345/1, http://gotw.nerc.ac.uk/list_full.asp?pcode=NE%2FP012345%2F1&cookieConsent=A)This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.XML metadata: GEMINI compliant metadata for this dataset is available hereFiles: This consists of 1 file: Ecoacoustic_Method_Comparison.xlsxEcoacoustic_Method_Comparison.xlsxThis file contains dataset metadata and 2 data tables:Analytical index values under differing experimental conditions (described in worksheet Analytical_Index_Data)Description: This dataset contains all the analytical indices derived from audio under different experimenatal conditionsNumber of fields: 16Number of data rows: 87211Fields: id.no: Sample ID (Field type: id)file.size: File size as a % of uncompressed (Field type: numeric)compression: Compression level (Mp3) (Field type: ordered categorical)frame.size: Frame size (recording length) (Field type: ordered categorical)site: Field Site Location (Field type: location)req.freq: Recording Frequency (Field type: numeric)date: Date (Field type: date)time: Time ID (including subsamples) (Field type: id)max.freq: Nyquist (Maximum) frequency (Field type: numeric)ACI: Acoustic Complexity Index (Field type: numeric)ADI: Acoustic Diversity Index (Field type: numeric)Aeev: Acoustic Eveness (Field type: numeric)Bio: Biodiversity Index (Field type: numeric)H: Acoustic Entropy (Field type: numeric)M: Median of Acoustic Envelope (Field type: numeric)NDSI: Normalised Difference Soundscape Index (Field type: numeric)AudioSet Fingerprint values under differing experimental conditions (described in worksheet AudioSet_Fingerprint_Data)Description: This dataset contains all the audioset fingerprint values derived from audio under different experimenatal conditionsNumber of fields: 137Number of data rows: 87329Fields: id.no: Sample ID (Field type: id)file.size: File size as a % of uncompressed (Field type: numeric)frame.size: Frame size (recording length) (Field type: ordered categorical)compression: Compression level (Mp3) (Field type: ordered categorical)site: Field Site Location (Field type: location)req.freq: Recording Frequency (Field type: numeric)date: Date (Field type: date)time: Time ID (including subsamples) (Field type: id)max.freq: Nyquist (Maximum) frequency (Field type: numeric)feat1: Feature 1 (Field type: numeric)feat2: Feature 2 (Field type: numeric)feat3: Feature 3 (Field type: numeric)feat4: Feature 4 (Field type: numeric)feat5: Feature 5 (Field type: numeric)feat6: Feature 6 (Field type: numeric)feat7: Feature 7 (Field type: numeric)feat8: Feature 8 (Field type: numeric)feat9: Feature 9 (Field type: numeric)feat10: Feature 10 (Field type: numeric)feat11: Feature 11 (Field type: numeric)feat12: Feature 12 (Field type: numeric)feat13: Feature 13 (Field type: numeric)feat14: Feature 14 (Field type: numeric)feat15: Feature 15 (Field type: numeric)feat16: Feature 16 (Field type: numeric)feat17: Feature 17 (Field type: numeric)feat18: Feature 18 (Field type: numeric)feat19: Feature 19 (Field type: numeric)feat20: Feature 20 (Field type: numeric)feat21: Feature 21 (Field type: numeric)feat22: Feature 22 (Field type: numeric)feat23: Feature 23 (Field type: numeric)feat24: Feature 24 (Field type: numeric)feat25: Feature 25 (Field type: numeric)feat26: Feature 26 (Field type: numeric)feat27: Feature 27 (Field type: numeric)feat28: Feature 28 (Field type: numeric)feat29: Feature 29 (Field type: numeric)feat30: Feature 30 (Field type: numeric)feat31: Feature 31 (Field type: numeric)feat32: Feature 32 (Field type: numeric)feat33: Feature 33 (Field type: numeric)feat34: Feature 34 (Field type: numeric)feat35: Feature 35 (Field type: numeric)feat36: Feature 36 (Field type: numeric)feat37: Feature 37 (Field type: numeric)feat38: Feature 38 (Field type: numeric)feat39: Feature 39 (Field type: numeric)feat40: Feature 40 (Field type: numeric)feat41: Feature 41 (Field type: numeric)feat42: Feature 42 (Field type: numeric)feat43: Feature 43 (Field type: numeric)feat44: Feature 44 (Field type: numeric)feat45: Feature 45 (Field type: numeric)feat46: Feature 46 (Field type: numeric)feat47: Feature 47 (Field type: numeric)feat48: Feature 48 (Field type: numeric)feat49: Feature 49 (Field type: numeric)feat50: Feature 50 (Field type: numeric)feat51: Feature 51 (Field type: numeric)feat52: Feature 52 (Field type: numeric)feat53: Feature 53 (Field type: numeric)feat54: Feature 54 (Field type: numeric)feat55: Feature 55 (Field type: numeric)feat56: Feature 56 (Field type: numeric)feat57: Feature 57 (Field type: numeric)feat58: Feature 58 (Field type: numeric)feat59: Feature 59 (Field type: numeric)feat60: Feature 60 (Field type: numeric)feat61: Feature 61 (Field type: numeric)feat62: Feature 62 (Field type: numeric)feat63: Feature 63 (Field type: numeric)feat64: Feature 64 (Field type: numeric)feat65: Feature 65 (Field type: numeric)feat66: Feature 66 (Field type: numeric)feat67: Feature 67 (Field type: numeric)feat68: Feature 68 (Field type: numeric)feat69: Feature 69 (Field type: numeric)feat70: Feature 70 (Field type: numeric)feat71: Feature 71 (Field type: numeric)feat72: Feature 72 (Field type: numeric)feat73: Feature 73 (Field type: numeric)feat74: Feature 74 (Field type: numeric)feat75: Feature 75 (Field type: numeric)feat76: Feature 76 (Field type: numeric)feat77: Feature 77 (Field type: numeric)feat78: Feature 78 (Field type: numeric)feat79: Feature 79 (Field type: numeric)feat80: Feature 80 (Field type: numeric)feat81: Feature 81 (Field type: numeric)feat82: Feature 82 (Field type: numeric)feat83: Feature 83 (Field type: numeric)feat84: Feature 84 (Field type: numeric)feat85: Feature 85 (Field type: numeric)feat86: Feature 86 (Field type: numeric)feat87: Feature 87 (Field type: numeric)feat88: Feature 88 (Field type: numeric)feat89: Feature 89 (Field type: numeric)feat90: Feature 90 (Field type: numeric)feat91: Feature 91 (Field type: numeric)feat92: Feature 92 (Field type: numeric)feat93: Feature 93 (Field type: numeric)feat94: Feature 94 (Field type: numeric)feat95: Feature 95 (Field type: numeric)feat96: Feature 96 (Field type: numeric)feat97: Feature 97 (Field type: numeric)feat98: Feature 98 (Field type: numeric)feat99: Feature 99 (Field type: numeric)feat100: Feature 100 (Field type: numeric)feat101: Feature 101 (Field type: numeric)feat102: Feature 102 (Field type: numeric)feat103: Feature 103 (Field type: numeric)feat104: Feature 104 (Field type: numeric)feat105: Feature 105 (Field type: numeric)feat106: Feature 106 (Field type: numeric)feat107: Feature 107 (Field type: numeric)feat108: Feature 108 (Field type: numeric)feat109: Feature 109 (Field type: numeric)feat110: Feature 110 (Field type: numeric)feat111: Feature 111 (Field type: numeric)feat112: Feature 112 (Field type: numeric)feat113: Feature 113 (Field type: numeric)feat114: Feature 114 (Field type: numeric)feat115: Feature 115 (Field type: numeric)feat116: Feature 116 (Field type: numeric)feat117: Feature 117 (Field type: numeric)feat118: Feature 118 (Field type: numeric)feat119: Feature 119 (Field type: numeric)feat120: Feature 120 (Field type: numeric)feat121: Feature 121 (Field type: numeric)feat122: Feature 122 (Field type: numeric)feat123: Feature 123 (Field type: numeric)feat124: Feature 124 (Field type: numeric)feat125: Feature 125 (Field type: numeric)feat126: Feature 126 (Field type: numeric)feat127: Feature 127 (Field type: numeric)feat128: Feature 128 (Field type: numeric)Date range: 2019-02-26 to 2019-06-02Latitudinal extent: 4.6644 to 4.7027Longitudinal extent: 117.5351 to 117.5914

**数据集描述：** 本数据集为基于2019年2月26日至3月2日录制的音频所量化得到的声学指数（Acoustic Index）与AudioSet指纹（AudioSet Fingerprint）数据。原始音频经压缩、截断与时间维度采样，以模拟生态声学研究中常见的实验变量不一致性。本数据集旨在展示此类实验变量差异如何影响分析指数（Analytical Index）与AudioSet指纹对声景（soundscape）的量化结果。 **项目：** 本数据集采集自以下SAFE研究项目：**面向雨林生物多样性音频监测的三维声学（3D Acoustics for Audio Monitoring of Rainforest Biodiversity）** **资助说明：** 本数据集的采集工作受英国自然环境研究委员会（NERC）资助（资助项目：NERC QMEE博士生奖学金，编号NE/P012345/1，详情见：http://gotw.nerc.ac.uk/list_full.asp?pcode=NE%2FP012345%2F1&cookieConsent=A）。本数据集采用CC-BY 4.0协议发布，要求所有衍生成果中需引用本数据集，并额外致谢本研究的资助方。 **XML元数据：** 本数据集的兼容GEMINI标准的元数据可在此处获取 **文件列表：** 本数据集包含1个文件：Ecoacoustic_Method_Comparison.xlsx ### Ecoacoustic_Method_Comparison.xlsx 该文件包含数据集元数据与2张数据表： 1. **不同实验条件下的分析指数值**（详见Analytical_Index_Data工作表）描述：本数据集包含所有在不同实验条件下从音频中提取的分析指数数据字段数量：16 数据行数：87211 字段说明： - `id.no`：样本ID（字段类型：ID型） - `file.size`：文件大小（相对于未压缩文件的百分比，字段类型：数值型） - `compression`：MP3压缩级别（字段类型：有序分类变量） - `frame.size`：录音时长（帧大小，字段类型：有序分类变量） - `site`：野外采样点位（字段类型：位置型） - `req.freq`：录制采样频率（字段类型：数值型） - `date`：录制日期（字段类型：日期型） - `time`：时间ID（含子样本，字段类型：ID型） - `max.freq`：奈奎斯特（最高）频率（字段类型：数值型） - `ACI`：声学复杂度指数（Acoustic Complexity Index，字段类型：数值型） - `ADI`：声学多样性指数（Acoustic Diversity Index，字段类型：数值型） - `Aeev`：声学均匀度指数（Acoustic Eveness，字段类型：数值型） - `Bio`：生物多样性指数（Biodiversity Index，字段类型：数值型） - `H`：声学熵（Acoustic Entropy，字段类型：数值型） - `M`：声学包络中位数（Median of Acoustic Envelope，字段类型：数值型） - `NDSI`：归一化差异声景指数（Normalised Difference Soundscape Index，字段类型：数值型） 2. **不同实验条件下的AudioSet指纹值**（详见AudioSet_Fingerprint_Data工作表）描述：本数据集包含所有在不同实验条件下从音频中提取的AudioSet指纹数据字段数量：137 数据行数：87329 字段说明： - `id.no`：样本ID（字段类型：ID型） - `file.size`：文件大小（相对于未压缩文件的百分比，字段类型：数值型） - `frame.size`：录音时长（帧大小，字段类型：有序分类变量） - `compression`：MP3压缩级别（字段类型：有序分类变量） - `site`：野外采样点位（字段类型：位置型） - `req.freq`：录制采样频率（字段类型：数值型） - `date`：录制日期（字段类型：日期型） - `time`：时间ID（含子样本，字段类型：ID型） - `max.freq`：奈奎斯特（最高）频率（字段类型：数值型） - `feat1`至`feat128`：特征1至特征128（字段类型：数值型） **数据范围：** - 日期范围：2019年2月26日至2019年6月2日 - 纬度范围：4.6644至4.7027 - 经度范围：117.5351至117.5914

提供机构：

Zenodo

创建时间：

2021-08-02

Ecoacoustic Study Design Variation: Impact on Acoustic Indices and AudioSet Fingerprints

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