Non-invasive sampling of odours from tiger (Panthera tigris) and leopard (Panthera pardus) for wildlife conservation
Data files
Jun 10, 2026 version files 5.79 GB
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EnvironmentalControls.tar
720.21 MB
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Leopard_scat.tar
702.99 MB
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Leopard_spray.tar
360.73 MB
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README.md
1.91 KB
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Tiger_scat.tar
1.27 GB
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Tiger_Urine-001.tar
2.73 GB
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VolParse_py_script_v10.py
9.51 KB
Abstract
Chemical cues play an important role in mammalian communication, often reflecting an individual’s physiological state. Non-invasive sampling of such informative cues holds great potential for wildlife monitoring. Endangered apex predators such as big cats are elusive and challenging to monitor. While existing monitoring techniques estimate numbers or densities, they often fail to provide crucial demographic and physiological information. We adapted a headspace solid-phase field sampling technique adapted for sampling volatiles from urine and faeces of captive Bengal tigers and Indian leopards of known age and sex, and from urine of identified wild Bengal tigers of known age, sex, and reproductive status. Volatiles extracted from these samples were analysed using Thermal Desorption- Gas Chromatography-Mass Spectrometry. The random forest algorithm was used to identify compounds that might be cues for species, age, sex, and reproductive state.
Species classification accuracy was consistently high with both urine (0.79+0.009) and scat (0.75+0.029) volatiles. Classification accuracy of urine volatiles was high for females and young individuals in leopards and tigers, but lower for males and old individuals. Scat volatiles performed better across groups. We also identified putative chemical markers for epilepsy and reproductive state in tigers. This study presents the first chemical characterization of tiger and leopard scats and the first sampling of tiger odours from the wild. Our simple and cost-effective method of sampling tiger and leopard odours offers a novel method of chemical fingerprinting to monitor populations in situ. Importantly, this sampling method and analytical pipeline is broadly applicable to other mammalian species for conservation and ecological studies.
Dataset DOI: 10.5061/dryad.jdfn2z3s8
Description of the data and file structure
The data was collected to non-invasively sample volatiles from big cat excretions and investigate volatile signatures of physiological parameters such as age, sex, health and reproduction.
Files and variables
File: Tiger_Urine-001.tar
Description: GCMS data from urine samples of tigers, collected from wild and captive tigers.
File: Tiger_scat.tar
Description: GCMS data from scat samples of tigers, collected from captive tigers.
File: Leopard_spray.tar
Description: GCMS data from urine samples of leopards, collected from captive leopards.
File: Leopard_scat.tar
Description: GCMS data from scat samples of tigers, collected from captive leopards.
File: EnvironmentalControls.tar
Description: GCMS data from environmental controls of zoo and wild environments.
File: VolParse_py_script_v10.py
Description: Python script to parse volatiles across samples into a csv table with RT_BP grouping (see Nair et al 2018) and remove environmental volatiles and column bleeds.
Sample IDs for captive tigers are written as Zoonames_TigerNamesReplicateNumber. The zoo acronyms are BBP (Bangalore Zoo), KNZ (Ahemdabad Zoo) and BDZ (Baroda Zoo). Wild samples are labelled with AP_RTR_tigerNames_Replicate numbers.
Code/software
Agilent Chemstation compatible software required. Open-source alternatives using the existing files include https://www.openchrom.net/ or conversion of the existing files to open format (e.g. mzML) using http://proteowizard.sourceforge.io/tools/msconvert.html
