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ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
Global Biodiversity Information Facility
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Mammal occurrence records (2020-23) in the Valparai Plateau and Anamalai Tiger Reserve, Western Ghats, India

Authors: Raman, T. R. Shankar; Mudappa, Divya;

Mammal occurrence records (2020-23) in the Valparai Plateau and Anamalai Tiger Reserve, Western Ghats, India

Abstract

This dataset contains Mammal occurrence records (January 2020 - June 2023) in the Valparai Plateau and Anamalai Tiger Reserve, Western Ghats, India. It includes a few occurrence records of reptiles. Occurrence records were gathered in the field by researchers of the Nature Conservation Foundation, India, using a mobile data collection application. Suggested citation is:Nature Conservation Foundation (2024). Mammal occurrence records (2020-23) in the Valparai Plateau and Anamalai Tiger Reserve, Western Ghats, India. Nature Conservation Foundation, India. Dataset, Zenodo. DOI: 10.5281/zenodo.11903722 CONTACT #11. Name: T. R. Shankar Raman 2. Work Address: Nature Conservation Foundation, 1311, 12th A Main, Vijayanagar 1st Stage, Mysuru 570017, Karnataka, India3. Work Phone: +91 821 25156014. Email address: trsr@ncf-india.org 5. ORCID: https://orcid.org/0000-0002-1347-3953 CONTACT #21. Name: Divya Mudappa 2. Work Address: Nature Conservation Foundation, 1311, 12th A Main, Vijayanagar 1st Stage, Mysuru 570017, Karnataka, India3. Work Phone: +91 821 25156014. Email address: divya@ncf-india.org 5. ORCID: https://orcid.org/0000-0001-9708-4826 Keywords: tropical rainforest, plantations, Anamalai Hills, Western Ghats, animal distribution, mammals Geographic Coverage:1. Location/Study Area: Valparai Plateau, Tamil Nadu, India; Anamalai Tiger Reserve, Tamil Nadu, India2. GPS coordinates: Valparai Plateau (10°15'- 10°22'N, 76°52' - 76°59'E); Anamalai Tiger Reserve (10°12' - 10°35'N, 76°49' - 77°24'E) Temporal Coverage:1. Begins: 2020-01-11 (Year, Month, Day)2. Ends: 2023-06-02 (Year, Month, Day) Besides the 000_readMe.txt file containing this information, the dataset includes 60 images (photographs), three comma-delimited text (csv) files, and one R markdown text file with R code as explained below:1) 001_mammalData.csv -- This file has the main mammal occurrence data with relevant and renamed columns derived from the original downloaded Excel worksheet file 2) 002_placeLocs.csv -- This file lists names places for which the GPS location was unavailable from the mobile phone application, and was manually assigned to coordinates with 500 m accuracy 3) 003_nameMatch.csv -- This file matches the name as originally recorded with the correct common name and scientific name 4) 004_mammup.Rmd -- R code for processing the files to create a file for upload as an occurrence dataset on the Global Biodiversity Information Facility (GBIF.org) +60 image files (with ".jpg" file extension) FILES INCLUDED IN DATASET 001_mammdata.csvThis file has the main mammal occurrence data with relevant and renamed columns derived from the original downloaded Excel worksheet file recordedBy: Observer who recorded/made the observationusername: Username of person on whose mobile phone the data were notedtimestamp: Automatic time stamp of date and time when app was useddate: Date of observationtime: Time of observationdecimalLatitude: Latitude in decimal degrees NdecimalLongitude: Longitude in decimal degrees EGPSaltitude: Altitude in metresGPSaccuracy: Horizontal accuracy of GPS location in metresplace: Name of localityhabitat: Habitat typespecies: Species common namecount: Number of individuals observedcountType: Total (solitary or fully counted groups) or Partial (incompletely counted groups)obsType: Type of observation: sighting, sign (droppings or vocalisation), death, roadkill, electrocution, othernotes: Notes or remarks on observationimageID: Image filename if available (NA, if not available)instanceID: Automatically generated unique identifier of observation 002_placeLocs.csvThis file lists names places for which the GPS location was unavailable from the mobile phone application, and was manually assigned to coordinates with 500 m accuracyplace: Name of locality as recordedlat: Assigned latitude in decimal degrees Nlong: Assigned longitude in decimal degrees EGPSaccuracy: Assigned as 500 m – Horizontal accuracy of GPS location in metres 003_nameMatch.csvThis file matches the name as originally recorded with the correct common name and scientific name.verbatimIdentification: Identification as originally recorded in the ‘species’ column of the mammdata.csv filevernacularName: Common or engish namescientificName: Scientific name 004_mammup.RmdR code for processing the files to create a file for upload as an occurrence dataset on the Global Biodiversity Information Facility (GBIF.org)

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Keywords

Occurrence, Observation

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Italian National Biodiversity Future Center