Published on 01 January 2025
The mammals collection (ZM) of the Muséum national d'Histoire naturelle (MNHN - Paris)
View DatasetDescription
The collection of mammals of the Muséum national d’Histoire naturelle (MNHN) started during the XVIIIth century. The collection grows regularly with specimens collected during scientific expeditions and animals from zoological parks (Zoo de Vincennes, Ménagerie du Jardin des Plantes, Parc de la Haute-Touche) or care centers.The collection is constituted by skeletons (mounted or not), skins (mounted or not), casts, specimens or organs in fluid (alcohol or formalin), and tissues.The database ZAC (acronym for “Zoology, Comparative anatomy”) exists since 2010. It is the result of the merger of MAMMALIA (former collection of “Zoologie, Mammifères et Oiseaux”) and ANATOMIC (former collection of “Anatomie comparée”). For many groups, computerization is at a preliminary stage, and most entries have not yet been checked for errors or verified against the collections.More detailed information can be obtained by writing to the curators and collection managers.The database will help you prepare loan requests or visits to the collection. For any request contact: http://colhelper.mnhn.fr/
Citations (884)
- https://doi.org/10.1007/s10344-025-01967-8DataCite OpenAlex
Cited on 01 August 2025
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Cited on 12 May 2025
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Cited on 22 January 2024
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Cited on 23 December 2022
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- https://doi.org/10.15468/dl.xsfbsjDataCite
Cited on 15 May 2021
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Cited on 12 October 2020
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- https://doi.org/10.15468/dl.fvnn4xDataCite
Cited on 18 August 2020
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- https://doi.org/10.15468/dl.wyqcvnDataCite
Cited on 14 August 2020
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- https://doi.org/10.15468/dl.hdz3s4DataCite
Cited on 13 August 2020
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Cited on 13 August 2020
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Mentions (2)
- https://github.com/Giuseppe81Me/sex-bias-museumsSoftware Heritage
Mentioned on 02 March 2022
Weight: 1.00
- https://github.com/nhcooper123/sex-bias-museumsSoftware Heritage
Mentioned on 27 August 2021
Weight: 1.00
Metrics Over Time
Publication Details
Subfield
Urology
Field
Medicine
Domain
Health Sciences
Confidence Score
51%
Source
Scholar Data Model