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dc.date.available
2025-02-26T10:54:17Z
dc.identifier.citation
Cutrera, Ana Paula; Luna, Facundo; (2025): List of rodent species, with their corresponding data on genome size, body mass, absolute basal metabolic rate, habitat, climatic variables and georeferencing information. Consejo Nacional de Investigaciones Científicas y Técnicas. (dataset). http://hdl.handle.net/11336/255217
dc.identifier.uri
http://hdl.handle.net/11336/255217
dc.description.abstract
Using this dataset, we aimed to investigate the relative importance of intrinsic (genome size -C value: CV) and extrinsic (climatic variables) factors as predictors of BMR in 67 rodent species in a phylogenetic context. The dataset contains a list of species, with their corresponding C-value (DNA pg), body mass (g), absolute basal metabolic rate (BMR: ml O2 / h), habitat, climatic variables and georeferencing information. Source references are listed as well.
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.title
List of rodent species, with their corresponding data on genome size, body mass, absolute basal metabolic rate, habitat, climatic variables and georeferencing information
dc.type
dataset
dc.date.updated
2025-02-26T09:41:34Z
dc.description.fil
Fil: Cutrera, Ana Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; Argentina
dc.description.fil
Fil: Luna, Facundo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; Argentina
dc.datacite.PublicationYear
2025
dc.datacite.Creator
Cutrera, Ana Paula
dc.datacite.Creator
Luna, Facundo
dc.datacite.affiliation
Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras
dc.datacite.affiliation
Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras
dc.datacite.publisher
Consejo Nacional de Investigaciones Científicas y Técnicas
dc.datacite.subject
Biología
dc.datacite.date
1/4/2022-10/11/2024
dc.datacite.DateType
Creado
dc.datacite.language
eng
dc.datacite.version
1.0
dc.datacite.description
We compiled data on absolute basal metabolic rate (BMR, ml O2/h), body mass (M, g), genome size (C-value, pg), and geographical coordinates for 67 rodent species. Within fossorial species (i.e. species that live underground but forage on the surface) we also included those species that are considered subterranean (i.e. species that live and forage entirely underground; Begall et al., 2007, Merchant et al. 2024). We only considered studies that (1) included BMR measured in animals captured in the field in which geographical coordinates or localities of the collecting sites were reported and (2) studies that reported genome size in the same species. Data were extracted from 2 different sources: from the original study or from different databases (e.g. Atanasov and Petrova-Tacheva, 2009; Lovegrove, 2003; Gregory, 2017). We carefully examined the data reported in the published databases used. Where possible, reported CV and BMR data points were checked against the original publication for reported numerical value and taxonomic affiliation; where inconsistencies were found, we used the data reported in the original publication. We discarded studies that measured BMR of animals that were maintained in the laboratory for more than one generation or did not report the capture site. For each geographical coordinates we downloaded the climatic data from WorldClim database (http://www.worldclim.org/; Fick and Hijmans, 2017), with the R package “geodata”, using a spatial resolution of 2.5 minutes (~21 km2; Hijmans, 2023a). We used the following climatic variables: annual mean temperature (Tmean, in °C), minimum temperature of the coldest month (Tmin, in °C), maximum temperature of the warmest month (Tmax, in °C), temperature annual range (TAR: difference between maximum temperature of warmest month and minimum temperature of the coldest month, in °C), temperature seasonality (TS: standard deviation of the mean monthly temperature, in °C), accumulated annual rainfall (PP, in mm), and rainfall seasonality (PS: standard deviation of the mean monthly rainfall, in mm). In addition, we downloaded a map of net primary productivity (NPP, in tons of carbon per 0.25 degree cell) from the Socioeconomic Data and Application Center homepage (http://sedac.ciesin.columbia.edu/es/hanpp.html, based on Imhoff and Bounoua, 2006; Imhoff et al., 2004), and extracted NPP data for each geographical coordinates from the image with the R package “terra” (Hijmans, 2023b).
dc.datacite.DescriptionType
Métodos
dc.datacite.FundingReference
PICT 3785
dc.datacite.FunderName
Ministerio de Ciencia. Tecnología e Innovación Productiva. Agencia Nacional de Promoción Científica y Tecnológica
dc.relationtype.isSourceOf
http://dx.doi.org/10.1242/jeb.249864
dc.subject.keyword
C VALUE
dc.subject.keyword
AMBIENT TEMPERATURE
dc.subject.keyword
BODY MASS
dc.subject.keyword
METABOLIC RATE
dc.subject.keyword
RODENTS
dc.datacite.resourceTypeGeneral
dataset
dc.conicet.datoinvestigacionid
25233
dc.datacite.awardTitle
Modulación e integración de respuestas comportamentales y fisiológicas en el roedor subterráneo Ctenomys talarum: efectos de factores físicos, exposición a parásitos y riesgo predatorio.
dc.conicet.justificacion
Las localizaciones geográficas son múltiples (n = 67), y distribuidas a lo largo de todo el planeta. Cada dato posee asociada una localización geográfica, que se encuentra detallada en el archivo de datos de investigación.
dc.datacite.formatedDate
2022-2024
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