Description
The Squirrels of South Asia Database is a collection of occurrence records of all squirrel species (34 specices) that occur in South Asia. Complete occurrence data has been collected for species whose range extends out of South Asia (eg. into Southeast Asia). The data are collated from traditional sources (museums, literature, primary field records), citizen science records, and social media records (14 platforms). Only data that are not already funnelled/present to GBIF are included in this upload. Years covered: 1766 - 2022. Details of the database creation are here: The database is built and curated by the Sciurid Lab at IISER Tirupati (https://sciuridlab.in)
Enregistrements de données
Les données de cette ressource occurrence ont été publiées sous forme d'une Archive Darwin Core (Darwin Core Archive ou DwC-A), le format standard pour partager des données de biodiversité en tant qu'ensemble d'un ou plusieurs tableurs de données. Le tableur de données du cœur de standard (core) contient 1 187 enregistrements.
Cet IPT archive les données et sert donc de dépôt de données. Les données et métadonnées de la ressource sont disponibles pour téléchargement dans la section téléchargements. Le tableau des versions liste les autres versions de chaque ressource rendues disponibles de façon publique et permet de tracer les modifications apportées à la ressource au fil du temps.
Versions
Le tableau ci-dessous n'affiche que les versions publiées de la ressource accessibles publiquement.
Comment citer
Les chercheurs doivent citer cette ressource comme suit:
Swati U, D'Souza S, Aravind P S, Rajamani N (2023). IISERTPT Squirrels of South Asia Database - Version1. Version 1.5. IISER Tirupati. Occurrence dataset. https://cloud.gbif.org/asia/resource?r=sosa_version1&v=1.5
Droits
Les chercheurs doivent respecter la déclaration de droits suivante:
L’éditeur et détenteur des droits de cette ressource est IISER Tirupati. Ce travail est sous licence Creative Commons Attribution (CC-BY) 4.0.
Enregistrement GBIF
Cette ressource a été enregistrée sur le portail GBIF, et possède l'UUID GBIF suivante : f842ea5a-e38c-4be2-924d-c065b41215b0. IISER Tirupati publie cette ressource, et est enregistré dans le GBIF comme éditeur de données avec l'approbation du Participant Node Managers Committee.
Mots-clé
Occurrence; Squirrels; South Asia; Asia; Tree Squirrels; Flying Squirrels; Ground Squirrels; Marmots; Observation; Occurrence; Squirrels; South Asia; Asia; Tree Squirrels; Flying Squirrels; Ground Squirrels; Marmots
Contacts
- Créateur ●
- Personne De Contact
- PhD Student
- Créateur
- Researcher
- Créateur
- PhD Student
- ●
- Créateur ●
- Personne De Contact
- Assistant Professor
Couverture géographique
We collected comprehensive occurrence records across the entire geographic ranges of the 34 target species. Species range across South Asian (India, Pakistan, Afghanistan, Bangladesh, Nepal, Bhutan, Sri Lanka, and Maldives) and some (16 species) ranges that extend eastward into Central Asia or East and Southeast Asia. One species of palm squirrel (Funambulus pennantii) has been introduced to the Middle-east and Australia, well outside of its native geographic range. When squirrel species in this database were found to occur in countries outside of South Asia (e.g. Central/East/Southeast Asia), their occurrence data were collected across all countries in their geographic ranges.
Enveloppe géographique | Sud Ouest [1,406, 50,625], Nord Est [47,517, 110,391] |
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Couverture taxonomique
Sciuridae
Species | Belomys pearsonii (Gray, 1842), Biswamoyopterus biswasi Saha, 1981, Callosciurus erythraeus (Pallas, 1779), Callosciurus pygerythrus (I. Geoffroy Saint-Hilaire, 1833), Dremomys lokriah (Hodgson, 1836), Dremomys pernyi (Milne-Edwards, 1867), Dremomys rufigenis (Blanford, 1878), Eoglaucomys fimbriatus (Gray, 1837), Eupetaurus cinereus Thomas, 1888, Funambulus layardi (Blyth, 1849), Funambulus obscurus (Pelzeln & Kohl, 1886), Funambulus (Funambulus) palmarum (Linnaeus, 1766), Funambulus (Prasadsciurus) pennantii Wroughton, 1905, Funambulus (Funambulus) sublineatus (Waterhouse, 1838), Funambulus (Funambulus) tristriatus (Waterhouse, 1837), Hylopetes alboniger (Hodgson, 1836), Hylopetes phayrei (Blyth, 1859), Marmota (Marmota) caudata (Geoffroy, 1844), Marmota (Marmota) himalayana (Hodgson, 1841), Petaurista petaurista albiventer (Gray, 1834), Petaurista elegans (Müller, 1840), Petaurista magnificus (Hodgson, 1836), Petaurista nobilis (Gray, 1842), Petaurista petaurista (Pallas, 1766), Petaurista philippensis (Elliot, 1839), Petaurista mechukaensis Choudhury, 2007, Petaurista mishmiensis Choudhury, 2009, Petinomys fuscocapillus (Jerdon, 1847), Ratufa bicolor (Sparrman, 1778), Ratufa indica (Erxleben, 1777), Ratufa macroura (Pennant, 1769), Spermophilus fulvus (Lichtenstein, 1823), Spermophilopsis leptodactylus (Lichtenstein, 1823), Tamiops mcclellandii (Horsfield, 1840) |
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Couverture temporelle
Date de début / Date de fin | 1766-01-01 / 2022-12-31 |
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Données sur le projet
The Squirrels of South Asia database compiles information on squirrel occurrence in the region. The database includes 34 squirrel species, representing 14% of global diversity. The database collects data from various sources such as museums, literature, citizen science, and social media. It covers the entire range of the target species and spans from the early 1800s to May 2023. By consolidating information, the database enhances our understanding of squirrel distribution, population dynamics, and conservation needs in South Asia.
Titre | Squirrels of South Asia Database |
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Identifiant | IISERTPT: SOSA |
Financement | IISER Tirupati intramural funds and Department of Science and Technology SERB |
Description du domaine d'étude / de recherche | South Asia (Afghanistan, Pakistan, India, Sri Lanka, Maldives, Bangladesh, Nepal, Bhutan), as well as some parts of Central Asia (Kazakhstan, Kyrgyzstan, Uzbekistan, Turkmenistan, China) and Southeast Asia (Myanmar, Laos, Thailand, Cambodia, Vietnam, Indonesia, Singapore, Malaysia, Brunei). The introduced range of Funambulus pennantii include Australia, Iran, Bahrain, UAE, Qatar, Oman and Saudi Arabia. |
Description du design | The database includes 34 squirrel species (including tree, flying and ground squirrels), representing 14% of global sciurid diversity. It collates data from various sources such as museums, literature, primary fieldwork, citizen science, and social media platforms. It covers the entire range of the target species, including countries in Central Asia and Southeast Asia, when required. This database enhances our understanding of squirrel distribution, population dynamics, and their conservation needs in South Asia by consolidating information. It aims to be a valuable resource for researchers, conservationists, and wildlife enthusiasts. |
Les personnes impliquées dans le projet:
Méthodes d'échantillonnage
We collected data from three major sources. Traditional data sources included museum data, information from the literature and primary field data. The second source of data included records from citizen science platforms (5 platforms), and the third source of data encompassed social media platforms (14 sources). A pipeline was created for the data collection (Figure 1), and all volunteers on the project were trained to follow this in order to maintain consistency in data collection. For all data records, irrespective of source, we noted essential information like species name, location, date/year of observation, and observer/author. Media data were examined/downloaded when available. In addition to this, all other relevant data associated with each record were noted (e.g. behaviour, ecological information, etc.).
Etendue de l'étude | South Asia (Afghanistan, Pakistan, India, Sri Lanka, Maldives, Bangladesh, Nepal, Bhutan), as well as some parts of Central Asia (Kazakhstan, Kyrgyzstan, Uzbekistan, Turkmenistan, China) and Southeast Asia (Myanmar, Laos, Thailand, Cambodia, Vietnam, Indonesia, Singapore, Malaysia, Brunei). The introduced range of Funambulus pennantii include Australia, Iran, Bahrain, UAE, Qatar, Oman and Saudi Arabia. |
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Description des étapes de la méthode:
- 1. Sourcing records from different sources 2. Curating records and validating species identity 3. Curating records and assigning location accurately 4. Entering the data into a database
Métadonnées additionnelles
Identifiants alternatifs | f842ea5a-e38c-4be2-924d-c065b41215b0 |
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https://cloud.gbif.org/asia/resource?r=sosa_version1 |