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Museo Nacional de Ciencias Naturales, Madrid. Colección de Tejidos y ADN

Name: Museo Nacional de Ciencias Naturales, Madrid. Colección de Tejidos y ADN
Keywords: Occurrence, Biological species, GBIF Dataset Type Vocabulary: http://rs.gbif.org/vocabulary/gbif/dataset_type.xml, http://metadata.un.org/sdg/15, Biodiversity, http://rs.gbif.org/vocabulary/gbif/dataset_type.xml [GBIF Dataset Type Vocabulary], Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss

Research datakeyboard_double_arrow_right Dataset 01 Jan 2020 Spain English Publisher:Museo Nacional de Ciencias Naturales (CSIC)

Authors: Rey Fraile, Isabel; CSIC - Museo Nacional de Ciencias Naturales (MNCN);

doi: 10.15468/jl1iie

handle: 10261/256909

Museo Nacional de Ciencias Naturales, Madrid. Colección de Tejidos y ADN

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Abstract

La Colección de Tejidos y ADN del MNCN, Madrid (España) contiene muestras tanto de diferentes tejidos (hígado, músculo, riñón, ...) como de extractos de ADN pertenecientes a una amplia gama de especies tanto de vertebrados como de invertebrados. La colección conserva un total de 51939 muestras pertenecientes a 28930 ejemplares, de los cuales 12445 están disponibles en esta tabla. Note: this dataset was previously orphaned. It has been rescued by ① extracting it from the GBIF.org index (see GBIF Download in External Data) and ② republishing it on this IPT data hosting centre as version 1.0.

Country

Spain

Related Organizations

Spanish National Research Council
Spain
Museo Nacional de Ciencias Naturales
Spain

Keywords

Occurrence, Biological species, GBIF Dataset Type Vocabulary: http://rs.gbif.org/vocabulary/gbif/dataset_type.xml, http://metadata.un.org/sdg/15, Biodiversity, http://rs.gbif.org/vocabulary/gbif/dataset_type.xml [GBIF Dataset Type Vocabulary], Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss

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	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average