Datos de espectros LIBS muestras óseas: Longitud de onda Vs Intensidad entre 300 y 700nm | ||
| dc.conicet.datoinvestigacionid | 17508 | |
| dc.conicet.justificacion | ||
| dc.conicet.linkAdjunto | sigeva_files/POSTULANTE/23209118009/DATO/17415/Espectros_LIBS_de_3_muestras_de_Huesos.docx | |
| dc.conicet.linkAdjunto | sigeva_files/POSTULANTE/23209118009/DATO/17415/MaxilarM4_4.csv | |
| dc.conicet.linkAdjunto | sigeva_files/POSTULANTE/23209118009/DATO/17415/MaxilarM7_4.csv | |
| dc.conicet.linkAdjunto | sigeva_files/POSTULANTE/23209118009/DATO/17415/Guanaco4.csv | |
| dc.conicet.localizacionjson | {"referencia":[{"id":"","nombre":"Buenos 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","tipo":"LUGAR","formato":"","latitud":"","longitud":"","puntosPoligonoList":[]}]} | |
| dc.conicet.paisOrganizacion | Argentina | |
| dc.conicet.paisOrganizacion | Argentina | |
| dc.conicet.paisOrganizacion | Argentina | |
| dc.conicet.paisOrganizacion | Argentina | |
| dc.conicet.tituloRelacion | Laser induced breakdown spectroscopy (LIBS) for identification and classification of archaeological bones | |
| dc.datacite.Creator | Rinaldi, Carlos Alberto | |
| dc.datacite.Creator | Boggio, Norberto Gabriel | |
| dc.datacite.Creator | Vorobioff, Juan | |
| dc.datacite.Creator | Aldazabal, Veronica Beatriz | |
| dc.datacite.DateType | Creado | |
| dc.datacite.PublicationYear | 2024 | * |
| dc.datacite.affiliation | Consejo Nacional de Investigaciones Científicas y Técnicas | |
| dc.datacite.affiliation | Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Ciudad Universitaria. Unidad Ejecutora Instituto de Nanociencia y Nanotecnologia. Unidad Ejecutora Instituto de Nanociencia y Nanotecnologia - Nodo Constituyentes | Comision Nacional de Energia Atomica. Unidad Ejecutora Instituto de Nanociencia y Nanotecnologia. Unidad Ejecutora Instituto de Nanociencia y Nanotecnologia - Nodo Constituyentes. | |
| dc.datacite.affiliation | Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Ciudad Universitaria. Unidad Ejecutora Instituto de Nanociencia y Nanotecnologia. Unidad Ejecutora Instituto de Nanociencia y Nanotecnologia - Nodo Constituyentes | Comision Nacional de Energia Atomica. Unidad Ejecutora Instituto de Nanociencia y Nanotecnologia. Unidad Ejecutora Instituto de Nanociencia y Nanotecnologia - Nodo Constituyentes. | |
| dc.datacite.affiliation | Consejo Nacional de Investigaciones Científicas y Técnicas | |
| dc.datacite.date | 01/11/2022-31/01/2023 | |
| dc.datacite.language | spa | es |
| dc.datacite.publisher | Consejo Nacional de Investigaciones Científicas y Técnicas | * |
| dc.datacite.relacionRelatedIdentifierType | URL | |
| dc.datacite.resourceTypeGeneral | dataset | * |
| dc.datacite.subject | Química Analítica | es |
| dc.datacite.subject | Ciencias Químicas | es |
| dc.datacite.subject | CIENCIAS NATURALES Y EXACTAS | es |
| dc.datacite.version | 1.0 | es |
| dc.date.accessioned | 2024-06-04T09:33:06Z | |
| dc.date.available | 2024-06-04T09:33:06Z | |
| dc.date.updated | 2024-06-03T11:53:52Z | |
| dc.description.abstract | Espectros LIBS de 3 muestras: Hueso Guanaco , Maxilar ( M4 ) y Maxilar M7 Condiciones de medición: Láser Nd:YAG 1064 nm , 100Hz , usando 2 filtros , 9,85 mJ/pulso , se adjuntan además Imágenes de los puntos de análisis . Datos de Longitud de onda Vs Intensidad , entre 300 y 700nm | es |
| dc.description.fil | Fil: Rinaldi, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina | |
| dc.description.fil | Fil: Boggio, Norberto Gabriel. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Ciudad Universitaria. Unidad Ejecutora Instituto de Nanociencia y Nanotecnologia. Unidad Ejecutora Instituto de Nanociencia y Nanotecnologia - Nodo Constituyentes | Comision Nacional de Energia Atomica. Unidad Ejecutora Instituto de Nanociencia y Nanotecnologia. Unidad Ejecutora Instituto de Nanociencia y Nanotecnologia - Nodo Constituyentes.; Argentina | |
| dc.description.fil | Fil: Vorobioff, Juan. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Ciudad Universitaria. Unidad Ejecutora Instituto de Nanociencia y Nanotecnologia. Unidad Ejecutora Instituto de Nanociencia y Nanotecnologia - Nodo Constituyentes | Comision Nacional de Energia Atomica. Unidad Ejecutora Instituto de Nanociencia y Nanotecnologia. Unidad Ejecutora Instituto de Nanociencia y Nanotecnologia - Nodo Constituyentes.; Argentina | |
| dc.description.fil | Fil: Aldazabal, Veronica Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina | |
| dc.identifier.citation | Rinaldi, Carlos Alberto; Boggio, Norberto Gabriel; Vorobioff, Juan; Aldazabal, Veronica Beatriz; (2024): Datos de espectros LIBS muestras óseas: Longitud de onda Vs Intensidad entre 300 y 700nm. Consejo Nacional de Investigaciones Científicas y Técnicas. (dataset). http://hdl.handle.net/11336/236896 | * |
| dc.identifier.institucional | CONICET | |
| dc.identifier.repo | CONICET Digital | |
| dc.identifier.uri | http://hdl.handle.net/11336/236896 | |
| dc.relationtype.isSourceOf | https://emslibs2023.inesctec.pt/wp-content/uploads/2023/09/EMSLibs-bookofabstracts.pdf | |
| dc.rights | info:eu-repo/semantics/restrictedAccess | |
| dc.rights.license | Datos sujetos al derecho de propiedad intelectual | |
| dc.subject.keyword | ESPECTROS LIBS | es |
| dc.subject.keyword | ARQUEOLOGIA | es |
| dc.subject.keyword | RESTOS ÓSEOS | es |
| dc.subject.keyword | METODOS QUIMIOMETRICOS | es |
| dc.title | Datos de espectros LIBS muestras óseas: Longitud de onda Vs Intensidad entre 300 y 700nm | es |
| dc.type | dataset | * |
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