Repositório de dados e outros materiais relacionados com artigos em processo de avaliação para publicação ou publicados pelo periódico Acta Limnologica Brasiliensia.

Antes de realizar qualquer depósito, consulte os Termos e condições de uso do repositório SciELO Data.


Repositorio de datos y otros materiales relacionados con artículos en proceso de evaluación para publicación o publicados por la revista Acta Limnologica Brasiliensia.

Antes de realizar cualquier depósito, consulte el Términos y condiciones de uso de SciELO Data.


Data and other materials repository related to articles under evaluation for publication or publicated by the journal Acta Limnologica Brasiliensia.

Before any deposit, consult the SciELO Data Terms and Conditions of Use.

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21 to 30 of 43 Results
May 14, 2024
Peixoto, Sheila Sousa de Jesus; Guimarães, Luiza Pedrosa; Alves, Roberto da Gama, 2024, "Data for: Influence of eucalyptus plantations on benthic macroinvertebrate assemblages in neotropical springs", https://doi.org/10.48331/scielodata.LRDB6H, SciELO Data, V1
The springs were sampled during the dry season in 2017 along a 5 m long transect in the eucrenal zone. To measure the vegetation cover photographs of the canopy were taken and analyzed. Environmental variables between springs in forest and eucalyptus areas were examined using a T...
Apr 18, 2024
Oliveira, Camila Tâmires Alves; Camargo, Antonio Fernando Monteiro; Silva, Eulene Francisco; Henry-Silva, Gustavo Gonzaga, 2024, "Data for: Concentrations of metals in water, sediments and aquatic macrophytes in a river located in a region with a hot semi-arid climate", https://doi.org/10.48331/scielodata.AJDWFE, SciELO Data, V1
Description of methods used for collection/generation of data: Samples of water, sediment and aquatic macrophytes (Salvinia auriculata Aubl., Pis-tia stratiotes L., Ludwigia helminthorrhiza (Mart.) H. Hara and Eichhornia crassipes (Mart.) Solms) were collected at 10 sampling site...
Jun 22, 2023
Moreira, Caio V. M., 2023, "Data for: Impacts of extreme precipitation events in water quality: a scientometric analysis in global scale", https://doi.org/10.48331/scielodata.QCGJEB, SciELO Data, V1
This study aimed to evaluate spatial and temporal patterns of extreme events related to precipitation on a global scale, identifying the main impacts and the regions susceptible to these phenomena in a scientometric approach.
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