Mostrar el registro sencillo del ítem
dc.date.available
2022-06-03T18:06:43Z
dc.identifier.citation
Puliafito, Salvador Enrique; (2022): Dataset supporting the estimation and analysis of high spatial resolution inventories of atmospheric emissions from several sectors in Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. (dataset). http://hdl.handle.net/11336/158926
dc.identifier.uri
http://hdl.handle.net/11336/158926
dc.description.abstract
This data article provides an extensive and complete description of the high spatial resolution inventory (HSRI) estimation shown in the article "High resolution inventory of atmospheric emissions from livestock production, agriculture, and biomass burning sectors of Argentina" Puliafito et al. [1], and its comparison with several sectors in Argentina. The dataset provided are high-resolution inventories (0.025° × 0.025° lat/long) for CO2, CH4, N2O and another 8 species from livestock, biomass burning, agriculture and another 12 sectors (based on 2016 year). In addition, we also provide the database for 2014 using the same methodology. The dataset presented are necessary to improve input inventories for air quality models. Also, they are better to inform and guide the stakeholders, in making decisions related to environmental protection and health promotion, as well as assessing the environmental performance in terms of atmospheric emissions of an activity, sector or region in Argentina
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.title
Dataset supporting the estimation and analysis of high spatial resolution inventories of atmospheric emissions from several sectors in Argentina
dc.type
dataset
dc.date.updated
2022-06-03T15:14:51Z
dc.description.fil
Fil: Puliafito, Salvador Enrique. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.datacite.PublicationYear
2022
dc.datacite.Creator
Puliafito, Salvador Enrique
dc.datacite.affiliation
Universidad Tecnológica Nacional. Facultad Regional de Mendoza
dc.datacite.affiliation
Consejo Nacional de Investigaciones Científicas y Técnicas
dc.datacite.affiliation
Universidad Tecnológica Nacional. Facultad Regional de Mendoza
dc.datacite.affiliation
Universidad Tecnológica Nacional. Facultad Regional de Mendoza
dc.datacite.affiliation
Consejo Nacional de Investigaciones Científicas y Técnicas
dc.datacite.publisher
Consejo Nacional de Investigaciones Científicas y Técnicas
dc.datacite.subject
Meteorología y Ciencias Atmosféricas
dc.datacite.subject
Ciencias de la Tierra y relacionadas con el Medio Ambiente
dc.datacite.subject
CIENCIAS NATURALES Y EXACTAS
dc.datacite.ContributorType
DataCollector
dc.datacite.ContributorType
DataCollector
dc.datacite.ContributorName
Berná Peña, Lucas Luciano
dc.datacite.ContributorName
Bolaño Ortiz, Tomas Rafael
dc.datacite.date
01-2020
dc.datacite.DateType
Creado
dc.datacite.language
eng
dc.datacite.version
1.0
dc.datacite.description
Subject Environmental Science, Pollution
Specific subject area Estimation of high spatial resolution inventory from livestock production, agriculture, and biomass burning sectors
Type of dataTables and figures
How data were acquiredData collection of the amount and type of production for each sector, and estimation through different methods. In addition, specific emission factors were applied for each sector for the calculation of the different polluting species.
dc.datacite.DescriptionType
Información Técnica
dc.relationtype.isSourceOf
https://ri.conicet.gov.ar/handle/11336/140421
dc.relationtype.isSourceOf
https://ri.conicet.gov.ar/handle/11336/158798
dc.relationtype.isSourceOf
https://ri.conicet.gov.ar/handle/11336/143828
dc.subject.keyword
High-resolution emissions inventory
dc.subject.keyword
Greenhouse gas
dc.subject.keyword
Methane
dc.subject.keyword
Livestock production
dc.subject.keyword
Agriculture
dc.datacite.resourceTypeGeneral
dataset
dc.conicet.datoinvestigacionid
580
dc.datacite.geolocation
: -21, -73; -56, -56; -56, -75; -21, -52;
dc.datacite.formatedDate
2020
Archivos del conjunto de datos
Archivo
Notas de uso
Tamaño