1 to 10 of 3,847 Results
Aug 6, 2026
Nascimento, Elton Cardoso do; Costa, Paula Dornhofer Paro, 2026, "World machine - Toy1D dataset", https://doi.org/10.25824/redu/58VG0P, Repositório de Dados de Pesquisa da Unicamp, V1
Toy1D is a synthetic dataset of one-dimensional time series. The series represents a damped physical system with external influences. We designed it for the study of computational world models, a computational system that makes predictions about the current and future state of a... |
Aug 6, 2026
Nascimento, Elton Cardoso do; Costa, Paula Dornhofer Paro, 2026, "World machine - Data & Report - Toy1D - Experiment 2 best long", https://doi.org/10.25824/redu/I1YPLJ, Repositório de Dados de Pesquisa da Unicamp, V1
In the previous experiment, Experiment 1 Configuration Test, we found the best model configuration for a World Machine trained on the Toy1D dataset. However, a question that arises after that is: what is the maximum performance we can achieve with this configuration? In this expe... |
Aug 6, 2026
Nascimento, Elton Cardoso do; Costa, Paula Dornhofer Paro, 2026, "World machine - Data & Report - Toy1D - Experiment 1 configuration test", https://doi.org/10.25824/redu/WXXHQR, Repositório de Dados de Pesquisa da Unicamp, V1
Building on the previous experiment, Experiment 0 Protocol Test, which demonstrated the importance of the training protocol for the model's final performance, we investigate in this experiment the specific impact of each protocol step and several model architecture elements. Worl... |
Aug 6, 2026
Nascimento, Elton Cardoso do; Costa, Paula Dornhofer Paro, 2026, "World machine - Data & Report - Toy1D - Experiment 0 protocol test", https://doi.org/10.25824/redu/I6IRO0, Repositório de Dados de Pesquisa da Unicamp, V1
In this World Machine experiment, our goal is to perform an initial check of whether the model is trainable using the state-discovery approach. We also assess the potential impact of the training protocol by observing the performance of trained models across the defined tasks. Wo... |
Aug 5, 2026
Nascimento, Elton Cardoso do; Costa, Paula Dornhofer Paro, 2026, "World machine (Software)", https://doi.org/10.25824/redu/2YNOHE, Repositório de Dados de Pesquisa da Unicamp, V1
World Machine is a research project that investigates the concept and creation of computational world models. This record contains the code for the architecture and protocol we developed for this project. |
Aug 5, 2026
Nascimento, Elton Cardoso do; Costa, Paula Dornhofer Paro, 2026, "World machine docker image", https://doi.org/10.25824/redu/DEETAJ, Repositório de Dados de Pesquisa da Unicamp, V1
This record contains an export of the Docker image eltoncn/world-machine. The Docker image can be used to run the World Machine and to research experiments created with it. World Machine is a research project that investigates the concept and creation of computational world model... |
Aug 5, 2026
Ramalho, Enylson Xavier; Goldbeck, Rosana; Mélo, Allan Henrique Félix de; Hanita, Livia Kaori, 2026, "Replication data for: Direct conversion of cellulose to ethanol by genetically modified Saccharomyces cerevisiae for expression of cellulolytic enzymes", https://doi.org/10.25824/redu/0ZHSI9, Repositório de Dados de Pesquisa da Unicamp, V2, UNF:6:xCV76M9t1GCEc8eYERWDOA== [fileUNF]
This record compiles datasets supporting the study of thermotolerant Saccharomyces cerevisiae SA-1 and its derived strains engineered for heterologous cellulase expression. It includes cellulolytic activity profiles from concentrated enzyme extracts, design-of-experiments matrice... |
Tabular Data - 1.9 KB - 12 Variables, 56 Observations - UNF:6:fnIC0XigLOgQ7awMZVk2Ew==
- Growth kinetics at 40 °C for parental and genetically modified strains;
- Cellulolytic activity kinetics of concentrated enzyme extracts across cultivation time;
- Central composite rotatable design matrix for identifying pH and temperature conditions that maximize enzymatic ac... |
Aug 5, 2026
Pelizari, Gabriel; Abreu, Ana Elisa Silva de, 2026, "Dataset for groundwater level modeling with hidraulic head, precipitation, atmospheric pressure, earth tide, and pumping time series", https://doi.org/10.25824/redu/OHQPKS, Repositório de Dados de Pesquisa da Unicamp, V1, UNF:6:XWKm30bO4MeEw3fVvhCRZg== [fileUNF]
This dataset contains the original time series used as input for groundwater level modeling. It comprises groundwater hydraulic head, precipitation, atmospheric pressure, earth tide, and pumping operation records from nearby wells collected at a 30-minute temporal resolution. The... |
Tabular Data - 195.2 KB - 8 Variables, 2920 Observations - UNF:6:me1DyW7bWSRWVi9k6v5Abg==
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