Repositório de Dados de Pesquisa da Unicamp

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REDU é a plataforma oficial da Unicamp para o depósito, preservação, compartilhamento, reutilização e reprodutibilidade dos dados de pesquisa gerados na Universidade. Para mais informações, acesse o link contendo o tutorial, as perguntas frequentes (FAQ) e os canais de contato.

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1,331 to 1,340 of 15,570 Results

Disponibilidade de dados para: análise de imagens sintéticas de índices de vegetação para caracterização da variabilidade espacial do vigor da vegetação Mar 31, 2026 - Exatas Ribeiro, Bruna da Silva Brito; Amaral, Lucas Rios do, 2026, "Disponibilidade de dados para: análise de imagens sintéticas de índices de vegetação para caracterização da variabilidade espacial do vigor da vegetação", https://doi.org/10.25824/redu/GORSXL, Repositório de Dados de Pesquisa da Unicamp, V1 Os conjuntos de dados utilizados neste estudo são provenientes de áreas agrícolas comerciais e incluem informações de produtividade obtidas por colhedoras, bem como dados derivados de sensoriamento remoto. Devido ao caráter confidencial dessas informações e à sua vinculação a pro...
Figure 1 .docx Mar 31, 2026 - Síntese de resultados métodos de autoexame bucal relatados para rastreamento do câncer bucal MS Word - 19.3 KB - MD5: 4f4eb870d602b102f3bd94cac5611a8f PRISMA flow diagram of the study selection process. The figure summarizes the number of records identified, screened, excluded, and included in the qualitative synthesis.
Supplementary Figures 2 to 6.docx.pdf Mar 31, 2026 - Síntese de resultados métodos de autoexame bucal relatados para rastreamento do câncer bucal Adobe PDF - 136.4 KB - MD5: 81fb68dd5801465a7d1d0e4c9c3383c2 Figures 2 to 6
Supplementary Table 1.docx.pdf Mar 31, 2026 - Síntese de resultados métodos de autoexame bucal relatados para rastreamento do câncer bucal Adobe PDF - 102.7 KB - MD5: 6d14b07b12531a8fbcbbbafe5ced6735 Search strategies in the databases and grey literature
Supplementary Table III.docx.pdf Mar 31, 2026 - Síntese de resultados métodos de autoexame bucal relatados para rastreamento do câncer bucal Adobe PDF - 78.4 KB - MD5: 4ede5175f1e0731e285b4862097b77ec Characteristics of Mouth Self-Examination (MSE) Methods in Included Studies
Table II.pdf Mar 31, 2026 - Síntese de resultados métodos de autoexame bucal relatados para rastreamento do câncer bucal Adobe PDF - 68.5 KB - MD5: 4f8e2a617d02b38d1b27e21723431a39 Characteristics of the studied population in the included studies
Replication data for: generative artificial intelligence and higher-paying jobs in an agent-based macroeconomic model Mar 31, 2026 - Ciências Aplicadas Messias, Paulo Henrique; Rolim, Lilian Nogueira, 2026, "Replication data for: generative artificial intelligence and higher-paying jobs in an agent-based macroeconomic model", https://doi.org/10.25824/redu/QHS6FK, Repositório de Dados de Pesquisa da Unicamp, V1, UNF:6:E1OAnm0NqHZGhEIB6NxroA== [fileUNF] This repository provides a reproducible computational framework to analyze the macroeconomic effects of generative AI within a demand-led Kaleckian agent-based model. It includes the full model implementation (LSD platform) and Monte Carlo simulation setup, as well as precomputed...
data_full_mc.tab Mar 31, 2026 - Replication data for: generative artificial intelligence and higher-paying jobs in an agent-based macroeconomic model Tabular Data - 216.2 MB - 12 Variables, 1890000 Observations - UNF:6:wK3y2shhuLSZc5arl+05Dg== Aggregated dataset combining results across Monte Carlo simulations. This file is used for the main statistical analysis and reproduces the core quantitative results presented in the dissertation.
data_stats_per_mc_run.tab Mar 31, 2026 - Replication data for: generative artificial intelligence and higher-paying jobs in an agent-based macroeconomic model Tabular Data - 842.8 KB - 10 Variables, 6300 Observations - UNF:6:GhnKh1tcvyZeOLct0vJJUg== Dataset containing summary statistics computed at the level of individual Monte Carlo runs. Useful for analyzing variability, dispersion, and distributional properties across simulations.
data_timeseries_stats_per_experiment.tab Mar 31, 2026 - Replication data for: generative artificial intelligence and higher-paying jobs in an agent-based macroeconomic model Tabular Data - 1.4 MB - 7 Variables, 18900 Observations - UNF:6:+3zq9z7y3s6d5e7pfXPuNA== Dataset with time-series statistics computed for each experiment. Allows the analysis of dynamic patterns and temporal evolution of key model variables.

Disponibilidade de dados para: análise de imagens sintéticas de índices de vegetação para caracterização da variabilidade espacial do vigor da vegetação

Mar 31, 2026 - Exatas

Ribeiro, Bruna da Silva Brito; Amaral, Lucas Rios do, 2026, "Disponibilidade de dados para: análise de imagens sintéticas de índices de vegetação para caracterização da variabilidade espacial do vigor da vegetação", https://doi.org/10.25824/redu/GORSXL, Repositório de Dados de Pesquisa da Unicamp, V1

Os conjuntos de dados utilizados neste estudo são provenientes de áreas agrícolas comerciais e incluem informações de produtividade obtidas por colhedoras, bem como dados derivados de sensoriamento remoto. Devido ao caráter confidencial dessas informações e à sua vinculação a pro...

Figure 1 .docx

Mar 31, 2026 - Síntese de resultados métodos de autoexame bucal relatados para rastreamento do câncer bucal

MS Word - 19.3 KB -

PRISMA flow diagram of the study selection process. The figure summarizes the number of records identified, screened, excluded, and included in the qualitative synthesis.

Supplementary Figures 2 to 6.docx.pdf

Mar 31, 2026 - Síntese de resultados métodos de autoexame bucal relatados para rastreamento do câncer bucal

Adobe PDF - 136.4 KB -

Figures 2 to 6

Supplementary Table 1.docx.pdf

Mar 31, 2026 - Síntese de resultados métodos de autoexame bucal relatados para rastreamento do câncer bucal

Adobe PDF - 102.7 KB -

Search strategies in the databases and grey literature

Supplementary Table III.docx.pdf

Mar 31, 2026 - Síntese de resultados métodos de autoexame bucal relatados para rastreamento do câncer bucal

Adobe PDF - 78.4 KB -

Characteristics of Mouth Self-Examination (MSE) Methods in Included Studies

Table II.pdf

Mar 31, 2026 - Síntese de resultados métodos de autoexame bucal relatados para rastreamento do câncer bucal

Adobe PDF - 68.5 KB -

Characteristics of the studied population in the included studies

Replication data for: generative artificial intelligence and higher-paying jobs in an agent-based macroeconomic model

Mar 31, 2026 - Ciências Aplicadas

Messias, Paulo Henrique; Rolim, Lilian Nogueira, 2026, "Replication data for: generative artificial intelligence and higher-paying jobs in an agent-based macroeconomic model", https://doi.org/10.25824/redu/QHS6FK, Repositório de Dados de Pesquisa da Unicamp, V1, UNF:6:E1OAnm0NqHZGhEIB6NxroA== [fileUNF]

This repository provides a reproducible computational framework to analyze the macroeconomic effects of generative AI within a demand-led Kaleckian agent-based model. It includes the full model implementation (LSD platform) and Monte Carlo simulation setup, as well as precomputed...

data_full_mc.tab

Mar 31, 2026 - Replication data for: generative artificial intelligence and higher-paying jobs in an agent-based macroeconomic model

Tabular Data - 216.2 MB - 12 Variables, 1890000 Observations -

Aggregated dataset combining results across Monte Carlo simulations. This file is used for the main statistical analysis and reproduces the core quantitative results presented in the dissertation.

data_stats_per_mc_run.tab

Mar 31, 2026 - Replication data for: generative artificial intelligence and higher-paying jobs in an agent-based macroeconomic model

Tabular Data - 842.8 KB - 10 Variables, 6300 Observations -

Dataset containing summary statistics computed at the level of individual Monte Carlo runs. Useful for analyzing variability, dispersion, and distributional properties across simulations.

data_timeseries_stats_per_experiment.tab

Mar 31, 2026 - Replication data for: generative artificial intelligence and higher-paying jobs in an agent-based macroeconomic model

Tabular Data - 1.4 MB - 7 Variables, 18900 Observations -

Dataset with time-series statistics computed for each experiment. Allows the analysis of dynamic patterns and temporal evolution of key model variables.

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