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677 results for “Replication package”
Replication package for: "Catholic Censorship and the Demise of Knowledge Production in Early Modern Italy"
<p>Replication package for: "Catholic Censorship and the Demise of Knowledge Production in Early Modern Italy"</p>
Replication Package for ESEC/FSE 2023 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. The GitHub repository of the paper is available at <a href="https://github.com/mcxwx123/Sustainable_projects">https://github.com/mcxwx123/Sustainable_projects</a>.</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 (collected in their first 1,3,5 months(s)) are stored in `Replication Package/data/prodata_1.pkl`, `Replication Package/data/prodata_3.pkl`, and `Replication Package/data/prodata_5.pkl`. The contribution of features resulting from LIME model is stored in `Replication Package/data/limeres_m3_t2_k1.pkl`.<br> `Replication Package/data/X_test_m3_t2_k1.pkl` and `Replication Package/data/y_test_m3_t2_k1.pkl` store the test dataset for the LIME model. You can run `Replication Package/fitdata.py` to get the results in Table 3 and 4, run `Replication Package/draw_compare_variable.py` to get Figure 2 and run `Replication Package/allvari_statistics.py` to get Table 5. 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 3.1.<br> </p> <p>The explanations for collecting the variables, the examples of variable effects on project sustainability, and the hyperparameter setting of the machine learning models are provided in the README.md file.</p>
Superiority Seeking Replication Package
<p>Replication package for analyses in "Superiority Seeking and the Preference for Exclusion."</p>
Replication package for: Negative Nominal Interest Rates and The Bank Lending Channel
<p>Package contains replication kit for "Negative Nominal Interest Rates and the Bank Lending Channel", including both replication of the empirical results and the theoretical simulations.</p>
Replication Package for "An Exploratory Literature Study on Sharing and Energy Use of Language Models for Source Code"
<p>This repository contains the replication package for the paper <em>"</em>An Exploratory Literature Study on Sharing and Energy Use of Language Models for Source Code" by Max Hort, Anastasiia Grishina, and Leon Moonen, accepted for publication in the 17th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2023).</p> <p>The paper is deposited on arXiv, will be available later at the publisher's site (<a href="https://ieeexplore.ieee.org/Xplore/home.jsp">IEEE</a>), and a copy is included in this repository.</p> <p>The replication package is archived on Zenodo with DOI: <a href="https://doi.org/10.5281/zenodo.8058667">10.5281/zenodo.8058667</a>. The data is distributed under the CC BY 4.0 license.</p> <p> </p> <p><strong>Citation</strong></p> <p>If you build on this data or code, please cite this work by referring to the paper:</p> <pre><code>@inproceedings{hort2023:sharing, title = {An Exploratory Literature Study on Sharing and Energy Use of Language Models for Source Code}, author = {Max Hort and Anastasiia Grishina and Leon Moonen}, booktitle = {17th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2023)}, year = {2023}, publisher = {IEEE} note = {To appear. Pre-print on arXiv.} }</code></pre>
Replication package for: The Transmission of Commodity Price Super-Cycles
<p>This is the replication package associated with Benguria, Saffie, and Urzua (forthcoming), "The Transmission of Commodity Price Super-Cycles," Review of Economic Studies.</p> <p>The replication package contains a readme.pdf file with detailed instructions, the code to replicate all the figures and tables, part of the raw data, and instructions to access the rest of the data. </p>
Replication package for: Market Power in Coal Shipping and Implications for U.S. Climate Policy
<p>This package contains all code necessary to reproduce the figures and tables in:</p> <p>Preonas, Louis (forthcoming). "Market Power in Coal Shipping and Implications for U.S. Climate Policy." Review of Economic Studies.</p> <p>The README document contains detailed instructions for conducting a full replication (from raw data), or for only replicating the analysis presented in the paper's figures and tables.</p>
Replication package for "Skill heterogeneity and market labour income inequality"
<p>Medrano-Adan, L., Salas-Fumás, V. and Sánchez-Asín, J. (2023) “Skill heterogeneity and market labour income inequality”. <em>SERIEs-Journal of the Spanish Economic Association</em>.</p>
RustPräzi Replication Package
<pre>The replication package contains the following:</pre> <p>- `replication.zip`: the original replication package of http://DrNXs1ALFzzQth4r.github.io</p> <p>- `README`: instructions explaining the contents in `replication.zip`</p> <p>- ``: RustPräzi call-based dependency network. </p>
Replication package for: Information Avoidance and Image Concerns
<p>Guide for replication of “Information Avoidance and Image Concerns,” by Christine L. Exley and Judd B. Kessler, <em>Economic Journal</em>. </p> <p>The files in this replication package produce the results found in the paper above. The raw data from the authors’ experiment is included in the package, together with a single STATA .do file needed to produce the paper’s results from that raw data.</p>
Replication package for: The Brexit Vote, Productivity Growth and Macroeconomic Adjustments in the United Kingdom
<p>Replication package for the paper "The Brexit Vote, Productivity Growth and Macroeconomic Adjustments in the United Kingdom" by Ben Broadbent, Federico Di Pace, Thomas Drechsel, Richard Harrison and Silvana Tenreyro, published in The Review of Economic Studies.</p>
Replication package for: Which Investors Matter for Equity Valuations and Expected Returns?
<p>Koijen, Ralph SJ, Robert J. Richmond, and Motohiro Yogo. <em>Which investors matter for equity valuations and expected returns?</em>. Review of Economic Studies. </p> <p>This repository contains replication material for "<em>Which investors matter for equity valuations and expected returns?</em>"</p>
Replication Package for "Are Prompt Engineering and TODO Comments Friends or Foes? An Evaluation on GitHub Copilot"
<p>This is the replication package accompanying the submission of "Are Prompt Engineering and TODO Comments Friends or Foes? An Evaluation on GitHub Copilot"</p>
Replication package for: "Helping Children Catch Up: Early Life Shocks and the PROGRESA Experiment"
<p>Adhvaryu, A., Molina, T., Nyshadham, A., and Tamayo, J. (forthcoming). Helping Children Catch Up: Early Life Shocks and the PROGRESA Experiment. <em>The Economic Journal</em></p>
Replication package for: "Tail Risk in Production Networks"
<p>Full set of files to replicate tables and figures from "Tail Risk in Production Networks".</p>
Replication Package - EvaCRC: Evaluating Code Review Comments
<p>Replication Package of the accepted ESEC/FSE 2023 research paper: "EvaCRC: Evaluating Code Review Comments".</p> <p>Please refer to README.md for more information. </p> <p> </p>
Replication package for: Repayment Flexibility and Risk Taking: Experimental Evidence from Credit Contracts
<p>The package contains all data and codes necessary to replicate the empirical results (Tables and Figures) in Battaglia, Gulesci, Madestam (forthcoming) “Repayment Flexibility and Risk Taking: Experimental Evidence from Credit Contracts” Review of Economics Studies.</p>
Replication Package for: "The Boss is Watching: How Monitoring Decisions Hurt Black Workers"
<p>Cavounidis, Costas, Kevin Lang, and Russell Weinstein (2023): "The Boss is Watching: How Monitoring Decisions Hurt Black Workers"</p>
Replication package for "Is Digital Credit Filling a Hole or Digging a Hole? Evidence from Malawi"
<p>Brailovskaya, Valentina, Pascaline Dupas & Jonathan Robinson (2023). Is Digital Credit Filling a Hole or Digging a Hole? Evidence from Malawi. Economic Journal.</p> <p> </p>
Replication package for "Macroevolutionary Origins of Comparative Development"
<p> Replication files of the paper "Macroevolutionary Origins of Comparative Development," by Riahi, Ideen A. 2023.</p> <p>The package contains two Stata do files, "Riahi_tables.do” and "Riahi_figures.do," which produce all tables and figures of the paper. Two Stata data files, "Riahi_data.dta" and "TM_shp.dta," an xlsx file "Riahi_codebook," which describes the variables included in "Riahi_data.dta," and two txt file, “Riahi_data.txt” and “TM_shp.txt,” which present the data in ASCII format.</p>
ScienceDex guides
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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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.