Argentinian soil quality indicators meta-data

Registro completo

Título

Argentinian soil quality indicators meta-data

Autor(es)

Fasano, María Cecilia

Afiliación(es) del/de los autor(es)

Fasano, María Cecilia. Universidad Nacional de Misiones; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; Argentina

Resumen

The bibliometrics data on the Argentinian soil quality index resulting from forages over the online scientific peer-reviewed articles Scopus, Science Direct, and Scielo gave a total result of 131 articles (N=131) from the first search construct utilized for the initial forage. 64% (n1=84) faced the first two filtering criterion, and 36% (n2=47) met the third criterion (SD_1, and SD_2). Twelve groups were identified based on variable arrangements across the three filters, each representing a distinct scrutiny category. Groups 1 to 6 were formed from the second filter application and did not consider biological indicators. In contrast, Groups 7 to 12 were derived from the third filter and incorporated biological indicators in soil quality assessments. These groups' variable categories occurrence gave rise to a 118 x 11 (with N=118 row cases or analyzed peer-reviewed scientific publications and P=11 A to K columns or theoretical variables) database (SD_3). Adaptation for meta-analysis was made according to Paul and Barari (2002) methodology resulting in a 118 x 11 (contingency table with N=118 row cases or analyzed peer-reviewed scientific publications and P=12 A to Q1 columns or variables) (SD_4).

Año de publicación

2024

Idioma

inglés

Formato (Tipo MIME)

application/vnd.openxmlformats-officedocument.spreadsheetml.sheet

Clasificación temática de acuerdo a la FORD

Ingenieria ambiental

Condiciones de uso

Disponible en acceso abierto bajo licencia Creative Commons https://creativecommons.org/licenses/by-nc-sa/2.5/ar/

Repositorio digital

CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas