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677 results for “Replication package”
Replication Package for Paper "How Early Participation Determines Long-Term Sustained Activity in GitHub Projects"
<p>This replication package can be used for replicating results in the paper. It contains 1) a dataset of 290,255 repositories; and 2) Python scripts for training and interpreting models. </p> <p>We recommend manually setup the required environment in a commodity Linux machine with at least 1 CPU Core, 8GB Memory and 100GB empty storage space. We conduct development and execute all our experiments on a Ubuntu 20.04 server with two Intel Xeon Gold CPUs, 320GB memory, and 36TB RAID 5 Storage.</p> <p>We use GHTorrent to restore historical states of 290,255 repositories with more than 57 commits, 4 PRs, 1 issue, 1 fork and 2 stars. The raw data of repositories are stored in `Replication Package/data/prodata.pkl`, and the contribution of features resulting from LIME model is stored in `Replication Package/data/limeres_m2_k1.pkl`. We sort items by the order in `Replication Package/data/randind.npy`, which can be used to reproduce the same results as in the paper. <br> `Replication Package/data/X_test_m2_k1.pkl` and `Replication Package/data/y_test_m2_k1.pkl` store the test dataset for the LIME model. You can run `Replication Package/fitdata.py` to get the results in Table III and IV, run `Replication Package/draw_compare_variable.py` to get Figure 2 and run `Replication Package/allvari_statistics.py` to get Table II. In `Replication Package/Variable_comparison_with_different_parameter.pdf`, we show the LIME results under different parameters. In `Replication Package/sample_pros.csv`, we also provide the list of randomly selected repositories in Section III.B.</p>
Replication Package for Paper "How Early Participation Determines Long-Term Sustained Activity in GitHub Projects"
<p>This replication package can be used for replicating results in the paper. It contains 1) a dataset of 290,255 repositories; and 2) Python scripts for training and interpreting models. </p> <p>We recommend manually setup the required environment in a commodity Linux machine with at least 1 CPU Core, 8GB Memory and 100GB empty storage space. We conduct development and execute all our experiments on a Ubuntu 20.04 server with two Intel Xeon Gold CPUs, 320GB memory, and 36TB RAID 5 Storage.</p> <p>We use GHTorrent to restore historical states of 290,255 repositories with more than 57 commits, 4 PRs, 1 issue, 1 fork and 2 stars. The raw data of repositories are stored in `Replication Package/data/prodata.pkl`, and the contribution of features resulting from LIME model is stored in `Replication Package/data/limeres_m2_k1.pkl`. We sort items by the order in `Replication Package/data/randind.npy`, which can be used to reproduce the same results as in the paper. <br> `Replication Package/data/X_test_m2_k1.pkl` and `Replication Package/data/y_test_m2_k1.pkl` store the test dataset for the LIME model. You can run `Replication Package/fitdata.py` to get the results in Table III and IV, run `Replication Package/draw_compare_variable.py` to get Figure 2 and run `Replication Package/allvari_statistics.py` to get Table II. In `Replication Package/Variable_comparison_with_different_parameter.pdf`, we show the LIME results under different parameters. In `Replication Package/sample_pros.csv`, we also provide the list of randomly selected repositories in Section III.B.</p>
Replication package for Jumping the gun: how dictators got ahead of their subjects
<p>Hariri, Jacob G. and Wingender, Asger M.: Jumping the gun: how dictators got ahead of their subjects. Forthcoming in the Economic Journal.</p>
Replication package for: Optimal Environmental Targeting in the Amazon Rainforest
<p>The package contains all the code necessary to replicate the figures and tables in Assuncao, J., McMillan, R., Murphy, J., and Souza-Rodrigues, E. (forthcoming). "Optimal Environmental Targeting in the Amazon Rainforest", Review of Economic Studies.</p>
Replication package for "Welfare Cuts and Crime: Evidence from the New Poor Law"
<p>Replication package for: Melander, E. and Miotto, M., "Welfare Cuts and Crime: Evidence from the New Poor Law", The Economic Journal.</p>
Replication package for "Does Communist Nostalgia Lead to COVID-19 Conspiracy Beliefs?"
<p>Replication package for the paper “Does Communist Nostalgia Lead to COVID-19 Conspiracy Beliefs?” accepted for publication at European Societies. The package contains the survey data and the R code.</p>
Replication package for The merit primacy effect
<p>Cappelen, A. Moene, K., Skjelbred S.-E. and Tungodden, B. (2022) The merit primacy effect, Economic Journal</p>
Replication package for "Finance and Green Growth"
<p>De Haas, R. and A. Popov (2022), "Finance and Green Growth", The Economic Journal, forthcoming.</p>
Replication package for: Behavioral Responses to Wealth Taxation: Evidence from Colombia
<p>Londoño-Vélez, Juliana and Javier Avila-Macheha "Behavioral Responses to Wealth Taxation: Evidence from Colombia," Review of Economic Studies.</p> <p> </p> <p>The replication package contains the code to reproduce the tables and figures.</p>
Replication package for: Paying Them to Hate US: The Effect of U.S. Military Aid on Anti-American Terrorism, 1968-2018
<p>This replication package contains the data and the code to replicate the tables of the paper "Paying Them to Hate US: The Effect of U.S. Military Aid on Anti-American Terrorism, 1968-2018", conditionally accepted for publication in The Economic Journal.</p>
Replication Package for: "Name-Based Estimators of Intergenerational Mobility"
<p>Replication package for Santavirta, Torsten and Jan Stuhler, "Name-Based Estimators of Intergenerational Mobility", Economic Journal.</p>
Replication Package: Temperature and decision-making
<p>Escobar Carias, M., Johnston, D., Knott, R., Sweeney, R. 2024. Replication package: Temperature and Decision-Making</p>
Replication package for: Efficient and Convergent Sequential Pseudo-Likelihood Estimation of Dynamic Discrete Games
<p>The package contains all the code necessary to reproduce the figures and tables in Dearing and Blevins (forthcoming). "Efficient and Convergent Sequential Pseudo-Likelihood Estimation of Dynamic Discrete Games." Review of Economic Studies. Details are also given about accessing the raw data for the application.</p>
Replication package for "Falling Interest Rates and Credit Reallocation: Lessons from General Equilibrium"
<p>This package contains the data and programs to replicate "Falling Interest Rates and Credit Reallocation: Lessons from General Equilibrium" by Vladimir Asriyan, Luc Laeven, Alberto Martin, Alejandro Van der Ghote and Victoria Vanasco forthcoming in the <em>Review of Economic Studies</em>. The README file provides details on data sources and how to run the code. All data and codes are provided <em>solely</em> for replication purposes.</p>
Replication package for: Does Pricing Carbon Mitigate Climate Change? Firm-Level Evidence from the European Union Emissions Trading System
<p>This package contains three folders: the Code folder, Results (or output) folder and the data folder. It also contains a document README.pdf . </p> <p>Part of the codes can be run with the data provided in the data folder, and have _outofbox in their name. Others can only run with confidential data - all details are provided in the README.pdf file.</p> <p>These are for the paper:</p> <p>Colmer, J., R. Martin, M. Muûls, and U.J. Wagner. Does Pricing Carbon Mitigate Climate Change? Firm-Level Evidence from the European Union Emissions Trading System</p>
Replication package for: Shirking with Good Reputation? Evidence from Hotel Industry (Version 2)
<p>This replication package contains the data and the code to generate the paper’s main results, as well as the Online Appendix, for “Shirking with Good Reputation? Evidence from Hotel Industry” by Fang-Chang Kuo.</p>
Replication Package for "On The Impact of Adopting AI Libraries in Open Source Projects. A Large Scale Study"
<p># Replication Package for the Paper: "On The Impact of Adopting AI Libraries in Open Source Projects. A Large Scale Study"</p> <p>This replication package includes the raw data, questionnaire answers, and a Python notebook to reproduce the results detailed in the paper "On The Impact of Adopting AI Libraries in Open Source Projects. A Large Scale Study"</p> <p>## Repository Structure<br>1. **Results:** Contains Excel files with the responses from the 2 human experts and the 5 models and the review of the 3 human reviewers.<br>2. **Tables:** Contains the full Wilcoxon Test Results for H01 and H02 as well as the Anderson Darling test for normality and the Spearmans' Rho.</p> <p>## Replication Process<br>To replicate the results of our study, open the provided Python Notebook in Google Colab and follow the instructions to reproduce the results seamlessly.</p> <p># Instructions for Use<br>To utilize this replicability package, refer to the steps outlined in the notebook file.</p> <p># Remarks<br>If you encounter any issues or have any questions, please get in touch with the paper's authors. We will be glad to assist you!</p>
Replication Package for Imagining the Future: Memory, Simulation, and Beliefs
<p>This package contains the files need to replicate the results published in:</p> <p>Bordalo, P., Burro, G., Coffman, K. B., Gennaioli, N., & Shleifer, A. (2024).<em> "</em>Imagining the future: memory, simulation, and beliefs." <em>Review of Economic Studies.</em> </p> <p>It contains raw data files, cleaned data files, and code files.</p>
Replication package for: What Good are Treatment Effects Without Treatment? Mental Health and the Reluctance to Use Talk Therapy
<p>Includes the replication package for the paper titled, "What Good are Treatment Effects Without Treatment? Mental Health and the Reluctance to Use Talk Therapy," accepted for publication by the Review of Economic Studies, December 31, 2023.</p>
Replication package for "A Structural Analysis of Mental Health and Labor Market Trajectories"
<p>"A Structural Analysis of Mental Health and Labor Market Trajectories" MS 29076</p> <p>The replication package contains the codes (two folders: code_manip and code_analysis) and data (three folders: data_raw, data_inter and data_analysis) to replicate the paper's results as well as the figure outputs in an output folder and a readme pdf file.</p> <p> </p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.