Carnegie Museum of Natural History - Traub Flea Collection Occurrence Data, Part 1

Registros de Dados

Os dados deste recurso de ocorrência foram publicados como um Darwin Core Archive (DwC-A), que é o formato padronizado para compartilhamento de dados de biodiversidade como um conjunto de uma ou mais tabelas de dados. A tabela de dados do núcleo contém 2.281 registros.

This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.

Versões

A tabela abaixo mostra apenas versões de recursos que são publicamente acessíveis.

Como citar

Pesquisadores deveriam citar esta obra da seguinte maneira:

Fetzner J (2024). Carnegie Museum of Natural History - Traub Flea Collection Occurrence Data, Part 1. Version 1.0. Carnegie Museums. Occurrence dataset. https://ipt.idigbio.org/resource?r=cmnh-fleas&v=1.0

Direitos

Pesquisadores devem respeitar a seguinte declaração de direitos:

O editor e o detentor dos direitos deste trabalho é Carnegie Museums. To the extent possible under law, the publisher has waived all rights to these data and has dedicated them to the Public Domain (CC0 1.0). Users may copy, modify, distribute and use the work, including for commercial purposes, without restriction.

GBIF Registration

Este recurso foi registrado no GBIF e atribuído ao seguinte GBIF UUID: b1090b9a-ac3f-4fdc-ba77-c51228ca8754.  Carnegie Museums publica este recurso, e está registrado no GBIF como um publicador de dados aprovado por GBIF-US.

Palavras-chave

Occurrence; Observation

Contatos

Cobertura Taxonômica

A listing of fleas (Siphonaptera) and their associated hosts.

Cobertura Temporal

Dados Sobre o Projeto

Parasitic insects have a global impact on human health, livestock production, and wildlife conservation. Building robust datasets of parasites? host preferences, seasonal activity, and geographic range can help scientists and public health professionals understand and predict patterns of disease transmission; however, much of the data needed for these assessments is accessible only through museum collections. The primary goal of this project is to extract this data from a world-class collection of fleas and associated parasites at the Carnegie Museum of Natural History (CMNH). As part of the Terrestrial Parasite Tracker Thematic Collections Network (TPT TCN), high-quality specimen images and host/locality data will be captured, digitized, and shared via public data portals. This will allow entomologists, epidemiologists, and other researchers to make essential connections between disease vectors and their host species. In turn, understanding these connections will support future assessments of economic and health risks from insect-vectored disease. The Robert Traub flea collection at CMNH is one of the largest and most meticulously curated collections of mammal parasites in the world, with 74,897 specimens mounted under glass on 60,596 glass slides with 4,615 associated genitalic dissections. This project will use automated slide scanning technology developed for pathology laboratory use to capture whole-slide and specimen images efficiently. These images will then be linked with digitized host and locality data from both slide labels and Traub?s fieldwork logs. This project will more than quintuple the Siphonaptera specimen records for the Terrestrial Parasite Tracker TCN and complete its representation of flea families. This will represent a valuable dataset and image resource not just for TPT TCN and epidemiology research, but for systematic research on Siphonaptera in general. Disseminating this data through the online data portals, including iDigBio.org, Symbiota Collection of Arthropods Network (SCAN), and the Global Biodiversity Information Facility (GBIF). Broad digital access will enable researchers and diagnosticians worldwide to access an enormous database of host-parasite relationships as well as to compare their specimens to high-quality specimen images with reliable species-level identifications.

O pessoal envolvido no projeto:

Dados de Coleção

Metadados Adicionais