Find papers worth reproducing — deep sweep

Repro-candidate sweep: 111 verified candidates

Every candidate below was opened in this session — its package page, its API file manifest, its zip central directory, or its repository tree. Nothing here is a search hit I did not click. package_read: yes means opened and read, not cloned and ran: I did not execute any of this code.

Breakdown of verified_complete: 71 yes, 25 no, 15 could-not-check. no almost always means the code and documentation are open but some input data is gated, licensed, or must be fetched from elsewhere — those rows are kept deliberately, because a documented negative saves the next person the same hour.

C01 — Quasi-Experimental Shift-Share Research Designs

economics (econometrics) · Stata + R · verified_complete: no

https://zenodo.org/records/4619197

Borusyak, Hull and Jaravel, Review of Economic Studies. I opened the Zenodo record and read the zip's full central directory: 156 entries, 71 .dta, 25 .csv, 23 .do, 7 .R, 4 .ado (including the ssaggregate command shipped with the paper), plus README.pdf and README.docx and per-analysis masters (master_adh.do, master_bartik1991.do, master_montecarlo.do). Marked no only because the deposit's own abstract says it contains "all public data underlying the analyses, instructions for how remaining data can be accessed" — the Autor-Dorn-Hanson arm is public and self-contained, but not every input is. Still one of the most valuable things on this list: the shift-share methods literature leans on this package heavily, and the Monte Carlo master runs on nothing but the shipped code.

C02 — The Real Effects of Monetary Expansions: Evidence from a Large-Scale Historical Experiment

economics (macro/economic history) · Stata · verified_complete: yes

https://zenodo.org/records/5338362

Palma, Review of Economic Studies. 2.8 MB, 44 entries read from the zip directory: MASTER.do, 12 do-files, two .dta datasets, logs and output figures, and a README.txt. The deposit states outright that the package "constructs the entire analysis from the data sources described in the published paper" and that "the replicator should expect the code to run for less than 10 minutes". Small, public, fast, fully self-contained — close to an ideal first reproduction.

C03 — Income and Wealth Distribution in Macroeconomics: A Continuous-Time Approach

economics (macro) · MATLAB · verified_complete: yes

https://zenodo.org/records/4357052

Achdou, Han, Lasry, Lions and Moll, Review of Economic Studies. 1.4 MB; the zip directory shows 67 entries — 23 .m files including main.m and main_dist.m, 39 .eps target figures, README.pdf and a plot-data text file. This is a solver, not a data analysis: the figures come out of the HJB/Fokker-Planck code with no external data at all, so there is nothing to gate. Verifying it means checking that the shipped .eps figures come back out of main.m.

C04 — Optimal Automatic Stabilizers

economics (macro/public finance) · Python + MATLAB · verified_complete: yes

https://zenodo.org/records/3925391

McKay and Reis, Review of Economic Studies. The zip is a mirror of the authors' OptStab repo: 467 entries, 77 .m files, README.md at the root, and — importantly — the ten FRED series the calibration needs (CorePCE.csv, UNEMPLOY.csv, fedfunds.csv, …) shipped in a data/FRED folder. Public data, no licensing, code + README present.

C05 — Measuring the Incentive to Collude: The Vitamin Cartels, 1990-1999

economics (industrial organization) · MATLAB · verified_complete: yes

https://zenodo.org/records/5104830

Igami and Sugaya, Review of Economic Studies. 1.7 MB, 123 entries: 79 .m files (GMM objective, bootstrap and counterfactual scripts), 27 .mat data files including data.mat and worldbank_hic2.mat, 9 .eps figures and README_version_3.pdf. The deposit says it "contains the data and the code". Compact structural IO with everything in the box.

C06 — Patience and Comparative Development

economics (development/behavioural) · Stata + R · verified_complete: yes

https://zenodo.org/records/5589052

Review of Economic Studies. Only 534 KB: 33 entries, !Replication_main.do as the entry point, two .dta files, one .R script, 16 LaTeX table outputs to check against, and README.pdf. Tiny, fully shipped, and a well-cited cross-country result — a cheap reproduction with real citation weight.

C07 — Monetary Policy and Heterogeneity: An Analytical Framework

economics (macro) · MATLAB · verified_complete: yes

https://zenodo.org/records/10937947

Bilbiie, Review of Economic Studies. The smallest thing on this list: 114 KB, three files — one .m, one .xlsx of inputs, one readme.txt — and the deposit is explicit that it replicates Figure 1. Narrow scope, but it is complete, it is honest about its scope, and it takes minutes.

C08 — Salience and Taxation with Imperfect Competition

economics (public finance) · Stata · verified_complete: yes

https://zenodo.org/records/7526306

Kroft, Laliberté, Leal-Vizcaíno and Notowidigdo. 63 MB, 34 entries read from the zip directory: 16 do-files with HMS_quarterly_master.do and RMS_quarterly_master.do as the two entry points, 9 .dta datasets actually shipped, a Python helper and "README KLLN.pdf". Data-preparation and analysis both live in the package.

C09 — Trade and Domestic Production Networks

economics (trade) · Stata · verified_complete: no

https://zenodo.org/records/3997900

Dhyne, Kikkawa, Mogstad and Tintelnot, Review of Economic Studies. 407 MB, 326 entries; I read the README.txt straight out of the remote zip. It ships 188 Comtrade .csv files and a chain of masters (clean_data_master.do, construct_share_main_master.do, …), and the data availability statement documents which Comtrade extracts are included — but the Belgian firm-to-firm administrative data at the core of the paper is not. Marked no: the public part is real and substantial, the headline result is not reproducible without an NBB agreement.

C10 — When Less Is More: Experimental Evidence on Information Delivery During India's Demonetization

economics (development/networks) · Stata + R · verified_complete: yes

https://zenodo.org/records/7860884

Banerjee, Breza, Chandrasekhar and Golub, Review of Economic Studies. 4.5 MB, 111 entries: 16 do-files and 3 R scripts named per table/figure (table_1.do, figure_4.R, …), 6 .dta files, 2 .ado helpers, plus survey instruments, a variable key and protocol documents. The deposit claims "all data, codes, documentation required to reproduce figures and tables" and the manifest backs that up.

C11 — Preferences and Performance in Simultaneous First-Price Auctions: A Structural Analysis

economics (industrial organization) · MATLAB + Julia + Stata · verified_complete: yes

https://zenodo.org/records/6304625

Gentry, Komarova and Schiraldi, Review of Economic Studies. 21 MB, 161 entries: 39 .m, 6 .do, 2 .jl, 35 .dta, 3 .jld, Readme.pdf and Readme.docx, with clearly named appendix drivers (main_appendixG1_0_solve_eqm.m, main_appendixG2_0_run_mc_sims.jl). Interesting as a cross-language reproduction: MATLAB estimation, Julia Monte Carlo, Stata tables.

C12 — Risk and Optimal Policies in Bandit Experiments

economics/statistics (experimental design) · MATLAB + R · verified_complete: yes

https://zenodo.org/records/13776876

Adusumilli, Econometrica. 19 MB, 166 entries: 30 .m files, 8 .Rmd notebooks with their knitted .html, 22 .csv, README.pdf and README.txt. Mostly simulation, so it is largely hardware-independent, and the Rmd/html pairs give a built-in check — knit them and diff against the shipped output.

C13 — Dynamic Regression Discontinuity under Treatment Effect Heterogeneity

economics (econometrics) · R + Stata · verified_complete: yes

https://zenodo.org/records/12037888

Hsu and Shen, Quantitative Economics. 12 MB, 84 entries: 28 R scripts, 6 .dta and 6 .csv data files, 2 do-files, and readme.docx plus a separate note on the Online Appendix E simulations. A methods paper with its simulations shipped is a good verification target because the simulation arm needs no data at all.

C14 — Randomization Tests for Peer Effects in Group Formation Experiments

economics (econometrics/experiments) · R + Stata · verified_complete: no

https://zenodo.org/records/8336416

Econometrica. 1.1 MB, 64 entries: 20 R scripts, 12 .csv, 2 .dta, README.pdf. Marked no for an honest reason the deposit states itself — "one dataset on the Gaokao experiment (Section 6.2) remains confidential", available only under a data use agreement with the original authors. Everything else is there, so a partial reproduction is realistic; a full one is not.

C15 — Assortative Matching on Income

economics (labour/family) · Stata + R + Python · verified_complete: could-not-check

https://zenodo.org/records/17301245

Chiappori, Fiorio, Galichon and Verzillo, Econometrica. 440 KB, 78 entries: 00_Master.do, 04_MasterR.R, 18 do-files, 12 R scripts, 8 Python scripts, README.pdf and a "Notes_for_Running_Py.txt". Run instructions and code are unambiguous; what I could not settle from the manifest is the data — at 440 KB there is no microdata in the box, and the .xls/.xlsx entries look like parameter inputs rather than the estimation sample. Someone should open the README before committing time.

C16 — DeepHAM: A Global Solution Method for Heterogeneous Agent Models with Aggregate Shocks

economics (computational macro) · Python + MATLAB · verified_complete: yes

https://zenodo.org/records/18019831

Han, Yang and E, Quantitative Economics. 7.3 MB, 448 entries: 40 Python files, 12 .m including MAIN.m, 6 notebooks, 24 .mat, README.pdf and !README.txt, and SLURM submission scripts (simple_run.sbatch) that reveal the intended cluster shape. A neural-network solver, so it will want a GPU to be pleasant — flagged rather than hidden.

C17 — Matching and Agglomeration: Theory and Evidence from Japanese Firm-to-Firm Trade

economics (trade/urban) · R · verified_complete: no

https://zenodo.org/records/13765850

Miyauchi, Econometrica. 890 KB, 228 entries, 54 R scripts with a clean master chain (MASTER_0_PROCESS_RAW_TSR_DATA.R → MASTER_1_DATA_REDUCED_FORM.R → MASTER_3_MODEL_SENSITIVITY.R) and README.md/README.pdf. The name of the first master gives it away: the Tokyo Shoko Research firm-to-firm data is licensed and not in the package, which at 890 KB obviously holds no microdata. Code and instructions are exemplary; the data is not obtainable.

C18 — House Price Dynamics, Optimal LTV Limits and the Liquidity Trap

economics (macro/housing) · MATLAB · verified_complete: could-not-check

https://zenodo.org/records/7551954

Ferrero, Harrison and Nelson, Review of Economic Studies. 2 MB, 402 entries, 78 .m files built on the Bank of England MAPS toolkit, 16 .eps target figures and 2 .xlsx inputs. The deposit says it "contains all the code necessary to replicate the figures". I could not find a README in the manifest — the documents present are the figure PDFs — so I cannot claim run instructions are there.

C19 — Optimal Corporate Taxation Under Financial Frictions

economics (public finance/macro) · MATLAB · verified_complete: yes

https://zenodo.org/records/7044154

Dávila and Hébert, Review of Economic Studies. 29 MB, 66 entries: 53 .m files with run_all.m and main_corporate_tax_dynamic.m as entry points, 3 .mat solution caches, 8 .eps target figures and ReadMe.pdf. Self-contained computation, single-command driver.

C20 — Trade Wars, Nominal Rigidities and Monetary Policy

economics (international macro) · MATLAB + Dynare · verified_complete: yes

https://zenodo.org/records/10844051

11.6 MB, 631 entries: 48 .m files, 11 Dynare .mod model files, 13 .mat and a set of alphabetically ordered drivers (a_run_baseline.m, b_run_monpol.m, c_run_NFA.m, …) that make the intended run order self-documenting. The deposit says the readme "contains all the information required to implement the package". Dynare is a free MATLAB/Octave toolbox, so the dependency is tractable.

C21 — Reorganization or Liquidation: Bankruptcy Choice and Firm Dynamics

economics (macro/corporate finance) · Fortran + Stata + MATLAB · verified_complete: no

https://zenodo.org/records/4287356

Corbae and D'Erasmo, Review of Economic Studies. 87 MB, 63 entries: 14 .f90 sources with main_simple01.f90, 7 do-files, 8 .csv, a data appendix PDF. Marked no because the deposit says "detailed instructions are also given about accessing the raw data" — the Compustat inputs are licensed. Notable anyway as one of the few Fortran packages in the sample.

C22 — The Macroeconomics of Microfinance

economics (development macro) · Stata + MATLAB · verified_complete: no

https://zenodo.org/records/3959907

Buera, Kaboski and Shin, Review of Economic Studies. 7.3 MB, 234 entries, 68 .csv, 4 do-files, README.txt and a separate figures readme. Same pattern as the previous entry: the deposit says instructions are given "about accessing the raw data", i.e. the Thai and microfinance survey inputs are not in the box.

C23 — Gains in Health Insurance Coverage Explain Variation in Democratic Vote Share, 2008-2016

political economy / health policy · Stata · verified_complete: yes

https://zenodo.org/records/2630581

Hollingsworth, Soni, Carroll, Cawley and Simon, PLOS ONE 2019 — a Zenodo archive of the hollina/elections_and_insurance GitHub repo. 259 MB, 81 entries: master.do, 18 do-files, 7 .dta, README.md, plus logs and .gph graph files to diff against. Public election and ACS/BRFSS-derived data, open-access journal, one-command driver.

C24 — Market-Based Monetary Policy Uncertainty

economics (finance/macro) · MATLAB + R · verified_complete: could-not-check

https://zenodo.org/records/5566246

Bauer, Lakdawala and Mueller, Economic Journal 2021. 4.9 MB, 72 entries: 21 .m, 6 .R, 22 .csv and 5 .RData files, 6 target figure PDFs. Data and code are clearly both present. I could not identify a README in the manifest (the only .txt is swanson.txt, a data input), so I cannot assert run instructions exist.

C25 — Kinship Taxation as an Impediment to Growth: Experimental Evidence from Kenyan Microenterprises

economics (development) · Stata · verified_complete: yes

https://zenodo.org/records/10888407

Squires, Economic Journal 2024. 2.7 MB, 160 entries: main.do plus 50 do-files, 4 .dta and 4 .csv, README.md and README.pdf, and 8 documentation PDFs. A field experiment whose own collected data is shipped — the good case for a development RCT.

C26 — The Impact of Car Pollution on Infant and Child Health: Evidence from Emissions Cheating

economics (environmental/health) · Stata · verified_complete: no

https://zenodo.org/records/5794422

Alexander and Schwandt. 367 MB, 642 entries: 56 do-files with diesel_main_analysis_FINAL.do, README.pdf, the manuscript, 26 .tex table outputs and ArcGIS project files. Only 4 .dta files against 56 do-files, and the outcome data is US restricted-use natality/birth records — marked no.

C27 — Business Disruptions from Social Distancing

economics (labour/COVID) · Stata + R · verified_complete: yes

https://zenodo.org/records/4016325

Koren and Pető, PLOS ONE 2020. 142 MB, 202 entries: a Makefile (rare and welcome in economics), 29 do-files, 43 .csv, 15 .dta, README.pdf and multiple README.md files at directory level. Built on O*NET and public employment data, open-access journal, make-driven. One of the most reproducible-looking economics packages I opened.

C28 — Pre-Colonial Warfare and Long-Run Development in India

economics (economic history/political economy) · Stata · verified_complete: yes

https://zenodo.org/records/5583263

Dincecco, Fenske, Menon and Mukherjee, Economic Journal. 33 MB, 64 entries: 18 .dta files shipped, a complete ESRI shapefile set (.shp/.dbf/.prj/.shx/.sbn/.cpg), 11 .tex table outputs and README.pdf. Historical and geographic data with no living-subject restrictions, so the whole chain is in the box.

C29 — The Unequal Effects of Pollution on Labor Supply

economics (environmental/labour) · Stata + Quarto · verified_complete: yes

https://zenodo.org/records/11060907

Hoffmann and Rud, Econometrica 2024. 5.2 GB, 1272 entries read via the zip's ZIP64 central directory: master.do, 12 do-files, 58 .dta, 8 .qmd Quarto documents, shapefiles for the Mexico City maps, README.pdf. The deposit's contents list — README, raw data, do-files, map folders, output folders — matches what I saw. Large but genuinely complete; budget the disk.

C30 — Market Participation and Moral Decision-Making: Experimental Evidence from Greenland

economics (behavioural/development) · Stata · verified_complete: no

https://zenodo.org/records/6974389

Agneman and Chevrot-Bianco, Economic Journal 2022. 3.4 MB, 111 entries: 00_MAIN.do plus 28 do-files, 3 .ado, and full field documentation (experimental design, instructions in three languages, ethics approval). But the manifest holds no .dta or .csv — the outputs are 35 .gph graphs and 16 .tex tables. The survey microdata is not in the package, so marked no.

C31 — Lifetime and Intergenerational Consequences of Poor Childhood Health

economics (health/economic history) · Stata · verified_complete: could-not-check

https://zenodo.org/records/7117307

Karbownik and Wray, Journal of Human Resources. 26 MB, 605 entries, 0_run_all.do, a proper README.md with an "Overview" section (I read the opening of it), 50 .eps and 32 .tex outputs to check against. Only 2 .dta files though, against linked historical census/vital records — I could not tell from the manifest whether those two are the analysis samples or lookup tables.

C32 — Entrepreneurial Human Capital and Firm Dynamics

economics (firm dynamics) · Python + Stata · verified_complete: yes

https://zenodo.org/records/5464854

Queiró, 2021. 15 MB, 111 entries: run_all.ipynb and main.ipynb, an environment.yml pinning the Python environment, 19 do-files, README.pdf, and 45 .png / 20 .tex outputs. The deposit explicitly says it "contains publicly available data and code". A pinned conda environment plus a single notebook driver is about as good as this genre gets.

C33 — Multinational Enforcement of Labor Law: Experimental Evidence on OSH Committees

economics (labour/development) · R + Stata · verified_complete: yes

https://zenodo.org/records/11373971

Econometrica. 6.3 MB, 488 entries: 0.master.R and 3.master.do, 34 R scripts, 21 do-files, 2 .RData, "00.README.pdf" and the IRB approval letter. The directory names in the archive (raw_data_R, input_data_stata, cleaning_code_R, analysis_R, final_paper_replication) spell out the pipeline. A factory-level RCT with its own collected data shipped.

C34 — Not Just a Work Permit: EU Citizenship and Consumption Behaviour of Immigrants

economics (migration) · Stata · verified_complete: no

https://borealisdata.ca/dataset.xhtml?persistentId=doi:10.5683/SP3/NZNQBR

Adamopoulou and Kaya, Canadian Journal of Economics. Opened the Borealis record and listed all 9 files: 6 do-files (INPS_data_preparation.do, ISMU_tables.do, …), README.txt, and two .tab files that are coefficient_estimates and demo_istat. At 103 KB total there is no microdata — the Italian INPS social-security and ISMU immigrant survey inputs are not distributable. Code and README are open; data is not.

C35 — Sector and Importer Determinants of Prices for Traded Intermediates

economics (trade) · Stata · verified_complete: yes

https://borealisdata.ca/dataset.xhtml?persistentId=doi:10.5683/SP3/G55JDI

Bekkers, Francois and Manchin, Canadian Journal of Economics. Five files, all unrestricted: finaldata.dta (the bulk of a 1.2 GB deposit), finaldata_onlyhomogeneous.tab, reproducing_tables.do, Figure1.xlsx, and Readme.pdf. One do-file, one dataset, one readme — unusually clean, and a good candidate precisely because there is nowhere for ambiguity to hide.

C36 — Trade without "Scale Effects"

economics (trade) · Stata · verified_complete: yes

https://borealisdata.ca/dataset.xhtml?persistentId=doi:10.5683/SP3/2HUCIH

Bento, Canadian Journal of Economics. Nine files, 2.5 MB, none restricted: five .tab data files (US Business Register size distributions, dataRose.tab, ag_empshare.tab), three figure-specific do-files and ReadMe.pdf. Small enough to reproduce in an afternoon on public data.

C37 — A Car for Recognition: Heterogeneous Market Responses to Electric Vehicles

economics (industrial organization) · Stata · verified_complete: yes

https://borealisdata.ca/dataset.xhtml?persistentId=doi:10.5683/SP3/WZVH0A

Liu, Xu, Zhang and Zheng, Canadian Journal of Economics 2026. Nine files, 573 MB, none restricted: master.do, city-year-month and province-year .tab panels, an adofiles.zip bundling the required Stata packages (a detail that materially improves reproducibility), a Results.zip of expected output, ReadMe.pdf and an explicit LICENSE.txt.

C38 — Managed Trade: The US-Mexico Sugar Suspension Agreements

economics (trade/agricultural) · Stata · verified_complete: yes

https://borealisdata.ca/dataset.xhtml?persistentId=doi:10.5683/SP3/P2J35S

Carter, Saitone and Schaefer, Canadian Journal of Economics. Ten files, 460 KB: price_data.tab and quantity_data.tab, three analysis do-files including a bootstrap script, table/figure .tab outputs to check against, and README.pdf. Tiny, public commodity price data, fully shipped.

C39 — Price Caps, Commitment and Innovation

economics (regulation/theory) · Python · verified_complete: yes

https://borealisdata.ca/dataset.xhtml?persistentId=doi:10.5683/SP3/2VWMN4

Atallah and Simons. Four files totalling 7.5 KB: replicate_linear_case.py, requirements.txt, README.pdf, LICENSE.txt. The record states the tables "rely exclusively on equilibrium computations using the linear model described in Appendix A. No external data" is needed. A pure-computation package with pinned dependencies — the cheapest possible verification, and a useful sanity check on the pipeline itself.

C40 — The Role of Institutions and Immigrant Networks in Firms' Offshoring Decisions

economics (trade/migration) · Stata · verified_complete: no

https://borealisdata.ca/dataset.xhtml?persistentId=doi:10.5683/SP3/VBGZEP

Moriconi, Peri and Pozzoli, Canadian Journal of Economics. Ten files, 553 KB, eight do-files and README.docx — and, decisively, a file literally named data_access_instructions.pdf. The Danish employer-employee registers are accessed through Statistics Denmark, not shipped. Marked no; listed because the code is fully open and readable even when the data is not.

C41 — Difference-in-Differences Designs: A Practitioner's Guide

econometrics / political methodology · R + Stata · verified_complete: yes

https://github.com/pedrohcgs/JEL-DiD

Baker, Callaway, Cunningham, Goodman-Bacon and Sant'Anna, Journal of Economic Literature. I opened the repo: data/, scripts/, figures/, tables/, renv.lock, a GitHub Actions workflow, README.md and README.pdf. All input data is public domain (CDC, BLS, Census, KFF) merged into county_mortality_data.csv, and the README gives two parallel entry points — scripts/R/00_master_did_jel.R (~10 min) and scripts/Stata/00_stata_master_did_jel.do (~11-15 min) — that are supposed to produce identical figures and tables. Public data, pinned R environment, dual implementation, ten-minute runtime, heavily cited. If the board only reproduces one thing, this is my pick.

C42 — The Green Transition and Political Polarization Along Occupational Lines

political science · R + Stata · verified_complete: no

https://github.com/vincentheddesheimer/green_transition_replication

Heddesheimer, Hilbig and Voeten, American Political Science Review 2025. Opened the repo: code/, data/, codebooks/, results/, README.md. The README is unusually good — three run paths (source("code/master_full_replication.R"), step-by-step, or individual scripts), a stated ~30-minute runtime, and explicit requirements (R 4.4.0+, 8 GB RAM, ~5 GB disk). Marked no only because the German SOEP survey, GLES candidate data and party press releases need separate institutional access; the county-level election and economic data are public and the final analysis datasets ship.

C43 — Engaging Populism? European Populist Parties on Facebook and Twitter, 2010-2020

political science · R (brms/Stan) · verified_complete: no

https://github.com/t-davidson/engaging-populism-replication

Davidson and Enos. Opened the repo: data-collection/, cleaning-and-merging/, models/scripts/, results/, README.md, which lays out the intended order clearly. Marked no: the raw social media data is not provided (only example API query scripts), and the larger fitted brms models live behind a Google Drive link rather than in the repo. Model estimation also assumed a SLURM cluster.

C44 — How Segregated Is Urban Consumption?

economics (urban) · Julia + Stata + Bash · verified_complete: yes

https://github.com/jdingel/DavisDingelMonrasMorales

Davis, Dingel, Monras and Morales, Journal of Political Economy. Opened the repo: a top-level Makefile, readme.md and readme.pdf, local_configuration.sh / slurm_configuration.sh, tasks_flow_graph.png, initialdata/, and 46 task directories. The README documents make / make full_version versus make quick_version. Flagging the cost honestly: the quick version wants ~70 GB of disk and under a day; the full version wants ~4 TB and several days. Complete and make-driven, but not a light reproduction.

C45 — A/B Testing with Fat Tails

economics (experiments) · R + MATLAB + Bash · verified_complete: no

https://github.com/eduardomazevedo/admrw-ab-replication-code

Azevedo, Deng, Montiel-Olea, Rao and Weyl, Journal of Political Economy. Opened the repo: bash/, r/, matlab/, data/, output/, codebook.txt, output-list.txt, readme.txt, with bash/make.sh as the single driver. The readme says plainly that "the data used is proprietary" and directs users to Microsoft. Clean pipeline, unobtainable data — listed as a documented negative.

C46 — A Distributional Framework for Matched Employer-Employee Data (BLM)

economics (labour) · R (Docker) · verified_complete: no

https://github.com/tlamadon/blm-replicate

Bonhomme, Lamadon and Manresa, Econometrica. Opened the repo: R/, inst/, packrat/, DockerConfig/, a Dockerfile, DESCRIPTION/NAMESPACE, README.md/.html/.pdf. Two documented routes — a prebuilt Docker image exposing RStudio, or packrat restore plus source("inst/main.R"). Marked no because the Swedish IFAU administrative data requires an application and confidentiality agreement; the package runs on synthetic data by default. Still worth listing: the Docker + packrat setup is a model of environment capture even where data cannot follow.

C47 — More Parties or No Parties: The Politics of Electoral Reform in America

political science · R · verified_complete: could-not-check

https://github.com/jacksantucci/mponp

Santucci (Oxford UP, 2022). Opened the repo: per-chapter directories ch1_files … ch7_files_new, an img/ folder, and README.md. Historical STV referendum, roll-call and municipal election data is included, which is the hard part. But the README gives no run instructions and describes the repo as "a work-in-progress", so I cannot say the third leg is there.

C48 — Detection and FDR Control of Differentially Methylated Regions from WGBS (dmrseq)

bioinformatics (epigenomics) · R + Bash · verified_complete: yes

https://github.com/kdkorthauer/dmrseqPaper

Korthauer et al. Opened the repo: PREPROCESSING/, ANALYSIS/, BENCHMARK/, FIGURES/CODE/, README.md. The README specifies the order (preprocessing → analysis → figures) and pins the analysis to a specific dmrseq commit. Crucially, every dataset is public — ROADMAP human tissue, DNMT3A murine leukemia and dendritic cell data pulled from SRA, GEO and NCBI FTP by the preprocessing scripts. Scripts assume SLURM but state they can run serially. Genuinely open end-to-end; the cost is sequencing-scale compute, not access.

C49 — Single-Cell DNA Replication Dynamics from DLP Sequencing

bioinformatics (single-cell genomics) · Python + Snakemake · verified_complete: yes

https://github.com/shahcompbio/scdna_replication_paper

Shah lab, Nature Communications 2024. Opened the repo: Snakefile, config.yaml, cluster.json, rules/, scripts/, notebooks/, envs/, data/, MIT LICENSE, README.md. The README states that all source data needed to reproduce the figures, plus file-structure documentation, is in a companion Zenodo deposit (10.5281/zenodo.12786373) — public, just not in the git repo. Conda envs are checked in and the workflow is Snakemake-orchestrated. Users must adjust paths, which is exactly the kind of friction a verification board should record.

C50 — Multiscale Topology Classifies Cells in Subcellular Spatial Transcriptomics (TopACT)

bioinformatics (spatial transcriptomics) · Python · verified_complete: yes

https://zenodo.org/records/11050996

128 MB, 61 entries read from the zip: 19 Jupyter notebooks, 8 .csv and 5 .npy data arrays, and a README.md that I read out of the archive — it names the Python version (3.10+) and gives the pip install line for the companion TopACT package. Data, code and instructions all present; the one external dependency is a public GitLab package.

C51 — Parallel Reverse Genetic Screening in Mutant Human Cells Using Transcriptomics

bioinformatics (transcriptomics) · R · verified_complete: yes

https://zenodo.org/records/51842

661 MB, 1941 entries: 152 gzipped expression/annotation files covering, per the record, "over 1800 RNA-seq samples", 22 R scripts and 22 .csv, plus a README. The deposit is a single self-contained data-and-analysis bundle rather than a code-only archive, which is what makes it worth the disk.

C52 — A Disease Network-Based Deep Learning Approach for Characterizing Melanoma

bioinformatics (cancer/network biology) · R + Python · verified_complete: yes

https://zenodo.org/records/10788609

Lai et al., International Journal of Cancer 2022. 257 MB, 280 entries: 133 .csv node/edge tables, 20 .RData, 5 R scripts, a Python script, 2 pickles and readme.pdf. The deposit says it "contains the data, code, and analysis to recreate the results". Derived network data rather than patient-level data, so nothing is gated.

C53 — Host Genetic Regulation of Human Gut Microbial Structural Variation (SV-GWAS)

bioinformatics (microbiome/GWAS) · R + Python + Bash · verified_complete: no

https://zenodo.org/records/10018199

Groningen Microbiome Centre, Nature 2023. 71 KB, 51 entries: 12 R, 12 shell, 9 Python, 7 .Rmd and a README.md that I read from the archive — it explains the two-folder structure (microbiome SV calling, then GWAS). Marked no for the obvious reason: 71 KB is code only, and the underlying cohort genotypes and metagenomes are access-controlled. Good code to read, not a reproduction target.

C54 — A Single-Cell and Spatially Resolved Atlas of Human Breast Cancers

bioinformatics (single-cell/cancer) · R + Snakemake · verified_complete: no

https://zenodo.org/records/5031502

Wu et al., Nature Genetics 2021 — Zenodo archive of Swarbricklab-code/BrCa_cell_atlas. 360 KB, 123 entries: 59 R scripts, 12 shell scripts, two Snakefiles (CIBERSORTx, DWLS) and a README.md whose "Data Availability" section I read. The processed scRNA-seq is downloadable from the Broad Single Cell Portal rather than shipped, and at 360 KB nothing is in the box. Marked no; the data is public but the package is not self-contained.

C55 — Cancer-Associated Fibroblast Classification in Single-Cell and Spatial Proteomics

bioinformatics (proteomics) · R · verified_complete: no

https://zenodo.org/records/7540622

Bodenmiller group. 94 KB, 27 entries: 20 .Rmd analysis notebooks and a README.md. I read the README from the archive — it is a single line, the repository name. No data, no instructions. Listed as a checked negative so nobody spends time rediscovering it.

C56 — From Telomere to Telomere: Transcriptional and Epigenetic State of Human Repeat Elements

bioinformatics (genome assembly) · Perl + R + Bash · verified_complete: could-not-check

https://zenodo.org/records/5895031

T2T Consortium (Hoyt et al.), for the CHM13 reference. 507 MB, 220 entries: 116 gzipped data files, 8 README.md files at directory level, 4 Perl and 2 R scripts. I read the top README, which describes the organisation ("organized by type of analysis conducted") but is not a run procedure. Data is plainly present; whether the instructions are sufficient I cannot say from the manifest.

C57 — Impacts of Renewable Energy Facilities on Animal Movement

ecology (systematic review) · R · verified_complete: yes

https://zenodo.org/records/20311943

Arrondo et al. 2026. 236 KB, 23 entries: 01_analysis_main.R plus 9 more R scripts, 3 .csv, CITATION.cff, and a README.md I read from the archive — it carries MIT (code) / CC-BY-4.0 (data) badges and states which outputs the pipeline reproduces (the facility × movement-component matrix, the bivariate world map, waffle plots, Supplementary Tables S1-S2). A review dataset of 134 studies, so no field data access is needed. Small, licensed, explicitly scoped.

C58 — Understanding Temporal Variability Across Trophic Levels in Freshwater Ecosystems

ecology (community ecology) · R · verified_complete: yes

https://zenodo.org/records/8333128

Siqueira et al. 4.5 MB, 129 entries: 30 .csv, 14 R scripts and two .Rproj files. The deposit description itself is the run instruction and is unusually specific — it names the five scripts in order (01_Dataprep_stability_metrics.R, 02_SEM_analyses.R, 03_Stab_figs.R, 04_Stab_supp_m.R, 05_Sensit_analysis.R) and says the full result set including supplementary material comes out of running them in that sequence.

C59 — Thresholds for Ecological Responses to Global Change Do Not Emerge from Empirical Data

ecology (global change) · R · verified_complete: yes

https://zenodo.org/records/3828869

Hillebrand, Donohue, Harpole et al. 267 KB, 53 entries: 37 .csv and 13 R scripts with a README.md that I read out of the archive. Small, self-contained, and a genuinely contested claim — a high-profile negative result about ecological thresholds is exactly the kind of thing worth independently re-running.

C60 — Global Conservation of Species' Niches

ecology (conservation) · R (make) · verified_complete: no

https://zenodo.org/records/1035485

Hanson et al. 2020. 1.3 GB, 671 entries: a top-level Makefile, 47 README.md files at directory level, 11 .rda, rasters and shapefiles. Marked no on the deposit's own statement: "many of the raw data files (e.g. extent of suitable habitat maps, protected area data) are not available in this archive, and must be obtained from the original sources". The make-based structure is excellent; the inputs are not all here.

C61 — Mapping the Forest Disturbance Regimes of Europe

ecology (remote sensing) · R · verified_complete: could-not-check

https://zenodo.org/records/3925447

Senf and Seidl, Nature Sustainability 2020. 63 MB, 80 entries: 38 .csv, four complete shapefile sets, 4 R scripts, README.md/README.txt (I read the top README from the archive). The catch is stated in that README — the disturbance maps themselves are hosted externally and the repository is a static snapshot of a project the authors say they "continuously improve and update". Whether the archived csvs suffice without re-downloading the maps, I could not determine.

C62 — Body Size, Reef Area and Temperature Predict Global Reef-Fish Species Richness

ecology (macroecology) · R · verified_complete: yes

https://zenodo.org/records/1484591

Barneche et al., Global Ecology & Biogeography, archived from dbarneche/geb12851. 4.9 MB, only 19 entries: 7 .csv, 3 R scripts, 2 .yml (a remake-style build spec) and README.md, which I read from the archive and which opens with "This repository contains code and data needed to reproduce the article". Nineteen files, a declarative build file, public reef survey data. Very high effort-to-value ratio.

C63 — An Updated End-to-End Ecosystem Model of the Northern California Current

ecology (ecosystem modelling) · MATLAB + R · verified_complete: yes

https://zenodo.org/records/8393490

PLOS ONE. 4.9 GB, 1712 entries: 90 .csv, 60 .m, 9 R scripts, plus README_FIRST.txt, a top-level README.txt and per-subdirectory READMEs — I read the top one, which explicitly tells you that each subdirectory carries its own README and which directory (ECOTRAN_Code) you need to run the model elsewhere. Large but layered and documented; the ECOTRAN model is reusable beyond this paper.

C64 — Macroscale Controls on Recovery of River Ecosystem Productivity After Floods

ecology (freshwater/Bayesian) · R + Stan · verified_complete: yes

https://zenodo.org/records/10455823

Lowman et al. 2024. 90 MB, 26 entries: 18 R scripts, 5 .rds fitted objects, 2 .stan model files and README_for_repository, whose opening I read — it names the creators and their institutions and points to the publication for the analysis description. Stan models shipped alongside cached fits means you can verify both the refit and the downstream figures.

C65 — Bayesian Analysis of Climate Change Adaptation Willingness of Canadian Private Forest Owners

ecology / environmental social science · R (Bayesian) · verified_complete: yes

https://zenodo.org/records/16369904

4.1 GB, 61 entries: 10 R scripts, 23 .rds posterior objects, 11 .csv, a shell driver, readme.pdf and a README.md I read from the archive — it describes a fully Bayesian analysis of an original survey built on protection motivation theory. Survey data plus posteriors plus code plus documentation. The 4 GB is almost entirely cached MCMC draws, so the reproduction can be staged.

C66 — Behavioral Plasticity Shapes Participation in a Mixed-Species Flocking Community of Birds

ecology (behavioural) · R · verified_complete: yes

https://datadryad.org/dataset/doi:10.5061/dryad.0k6djhb7h

Dryad, 134 KB, 4 files: AustraliaFlockData2019Dryad.csv, Foraging_observations__2019_Dryad.csv, Species_code_information.xlsx and README.md, which I read in full on the landing page — it sets out the four axes of behavioural plasticity being tested. Dryad curation requires the README, and the record links a preprint DOI and a software DOI. Trivially small, fully open.

C67 — Computational Analyses of Dynamic Visual Courtship Display in Wolf Spiders

ecology (animal behaviour) · Python + R · verified_complete: yes

https://datadryad.org/dataset/doi:10.5061/dryad.mgqnk9989

Animal Behaviour 2025 (primary article DOI linked from the record). Dryad, 9.1 MB: rabidosa_signal_comparison.csv, total_raw.csv and a README.md I read in full — it enumerates four JupyterLab notebooks (0_train_GHMM.ipynb, 1_segmentation.ipynb, …), one R script, and lists the exact Python packages each notebook needs. That level of dependency detail in a README is rare and makes this an easy verification.

C68 — Beyond Thermoregulation: Behavioural Regulation of UV Exposure by a Free-Ranging Lizard

ecology (physiological ecology) · R · verified_complete: yes

https://datadryad.org/dataset/doi:10.5061/dryad.mpg4f4rgq

Lattanzio, Journal of Animal Ecology 2026. Dryad, 1.3 MB, 4 files: dev_resampler.R, spr_resampler.R, Lattanzio_2026_RawData.xlsx and README.md, read in full — it names each file and says the workbook contains the raw and processed data used for analyses, figures and supporting information. Raw data plus resampling helpers plus documentation.

C69 — Active, Explorative and Infected: Meta-Analysis of Behaviour and Parasitism

ecology (meta-analysis) · R · verified_complete: yes

https://datadryad.org/dataset/doi:10.5061/dryad.k0p2ngfq0

Dryad, 120 KB, exactly three files: data.csv, Meta-analysis.R, README.md — README read in full, describing a phylogenetic multilevel meta-analysis with overall models, parasite-group models, publication-bias tests and sensitivity analyses. Three files, 120 KB, phylogenetic meta-analysis. Probably the single cheapest verification on this list.

C70 — Parturition Timing and Pre-/Post-Partum Behaviour of Female Moose

ecology (wildlife/movement) · R · verified_complete: yes

https://datadryad.org/dataset/doi:10.5061/dryad.cjsxksnmh

Dryad, 1.2 MB, 5 files including one R script implementing six movement-based calving-date methods (BCPA, FPT, MRT, rMCP, net-squared displacement), ParturitionDates.csv, Video-based_observations.csv, an xlsx of NSD values and README.md read in full. The paper benchmarks movement-based inference against animal-borne video ground truth — a method comparison, which makes re-running it more informative than most.

C71 — Ocean Deoxygenation and Warming Disrupt Cooperation in Coral Reef Fish Mutualisms

ecology (marine/behavioural) · R · verified_complete: yes

https://datadryad.org/dataset/doi:10.5061/dryad.3ffbg79zm

Pereira et al., Behavioral Ecology 2025 (primary article DOI on the record). Dryad, 21 KB — twenty-one kilobytes — for data_FAP.csv, data_Interactions.csv, script.Rmd and a README.md I read in full, with citation, originator and collection-date sections. One Rmd, two csvs, a real journal article behind it.

C72 — The Influence of Predator Lethality on Prey Behaviour and Growth

ecology (experimental marine) · R · verified_complete: yes

https://datadryad.org/dataset/doi:10.5061/dryad.6djh9w1hj

Dryad, 749 KB, 8 files: six .csv covering foraging, growth, lethality and three behaviour datasets, nogueira_2026_lethality_code.Rmd, and README.md read in full — it describes the two-phase mesocosm design with crab predators and snail prey. A controlled experiment with all arms shipped.

C73 — Why Wolves Walk: Drivers of Daily Movement in a Social Large Carnivore

ecology (movement ecology) · R · verified_complete: yes

https://datadryad.org/dataset/doi:10.5061/dryad.280gb5n39

Dryad, 304 KB, 5 files: seasonal summer/winter datasets, DMD_D_analysis.R, Linearity_D_analysis.R, README.md read in full — it documents every column and explains why some covariates (bear density, breeding status; moose and roe deer density) appear in only one season. Column-level documentation is exactly what makes an independent re-run possible.

C74 — Forest Degradation Reduces Acoustic Partitioning in Tropical Avian Communities

ecology (ecoacoustics) · R · verified_complete: yes

https://datadryad.org/dataset/doi:10.5061/dryad.pvmcvdp1q

Journal of Avian Biology (primary article DOI on the record). Dryad, 2.5 MB, 5 files: ANH_code_upload.R, ecoacoustic sample results, selections6.csv, transect_gradients.csv and README.md read in full — it even warns which column belongs to a different companion study and is dropped during analysis. That kind of caveat is a good sign.

C75 — Climate Extremes, Species Richness and Temporal Variability of Bird Communities

ecology (community stability) · R · verified_complete: no

https://datadryad.org/dataset/doi:10.5061/dryad.v6wwpzh1g

Cady et al., Ecology. Dryad, 89 KB, 3 files: R_Code_Cady_etAl_Community_Stability2024.R, SpeciesList.csv, README.md. Marked no on the README's own first line about data: "User must download 5 open-source datasets and 1 dataset from Cady et al. (2023) on Dryad before running". The inputs are open, but they are not in this package — reconstruction required.

C76 — Data and Code for Wound Care in Camponotus floridanus Ants

ecology (behavioural/microbiology) · R · verified_complete: could-not-check

https://datadryad.org/dataset/doi:10.5061/dryad.1rn8pk110

Dryad, 93 KB, 6 files: five .csv covering tracking, qPCR and amputation experiments, plus a README.md I read in full which documents every column and is headed "Raw Excel Data and Code". But no script file appears in the file listing — the analysis code the title implies is not visibly there. Flagged rather than assumed either way.

C77 — Tree Canopy Halves Urban Heat Island Effect Globally

ecology (urban climate) · unknown (in archive) · verified_complete: could-not-check

https://datadryad.org/dataset/doi:10.5061/dryad.905qfttz0

McDonald et al., Nature Communications 2026. Dryad, 1.4 GB, two files: DataDryadArchive_McDonald_et_al_final.zip and README.md, which I read in full — it states that all code and data used in the paper is here. I could not list the zip's interior: unlike Zenodo, Dryad's file endpoints require an API bearer token, so the range-request trick I used elsewhere does not work. High-profile result, plausibly complete, contents unverified.

C78 — Rethinking Global Hotspots for Threatened Terrestrial Vertebrates

ecology (conservation biogeography) · R · verified_complete: yes

https://datadryad.org/dataset/doi:10.5061/dryad.m905qfv8g

Global Ecology & Biogeography. Dryad, 263 MB, 4 files: R_scripts_and_data.zip, HTV.zip, a species list xlsx and README.md read in full — it names each script inside the archive (range-diversity analysis.R, hotspots analysis.R, biome_analysis.R, PAs analysis.R) and what each does. Script-level documentation from outside the archive is what lets me call this complete.

C79 — An Evolutionary Framework for Characterizing Noncoding Regions of DNA

evolutionary genomics / statistics · mixed (see archive) · verified_complete: yes

https://datadryad.org/dataset/doi:10.5061/dryad.w3r22816w

Dryad, 163 KB, 8 files, and the structure is the reason it is here: SOFTWARE.zip, DATA.zip, DOCUMENTATION.zip, VALIDATION.zip, MANIFEST.txt, SHA256SUMS.txt, README.md and README.txt. The README (read in full) describes the omega_RNA / rho_comp statistics for RNA secondary-structure evolution and gives a package build date. A shipped validation suite plus checksums is close to best-practice for a methods deposit.

C80 — Evaluating Baselines for Long-Term Biodiversity Monitoring: NEON Carabid Data

ecology (monitoring/biodiversity) · R · verified_complete: could-not-check

https://datadryad.org/dataset/doi:10.5061/dryad.0k6djhbfn

Claus et al. Dryad, 55 MB, two files: Claus_et_al_2026.zip and README.md, read in full — it explains the project analyses NEON carabid observational data to determine sampling effort needed for richness and diversity estimates. NEON data is open, which is promising, but the archive interior is not listable without a Dryad token.

C81 — Shifting Speciation Mode and Biogeography in Late Ordovician Laurentian Brachiopods

paleobiology / phylogenetics · R (BioGeoBEARS) · verified_complete: yes

https://datadryad.org/dataset/doi:10.5061/dryad.d51c5b0fs

Palaeogeography, Palaeoclimatology, Palaeoecology 2025. Dryad, 52 KB, 5 files: BioGeoBEARS_code.R, Anazygidae_tree.tre, Anazygidae_geoareas.data, b_AICc_table.csv and README.md read in full — it even records the R version used (4.3.0) and explains the geoareas file format. Tiny, complete, and a good test of whether BioGeoBEARS model selection is stable across package versions.

C82 — Phylogeny of Pacific Starlings (Aplonis) Reveals Cryptic Diversity

evolutionary biology (phylogenomics) · mixed (Bash/R/Python) · verified_complete: yes

https://datadryad.org/dataset/doi:10.5061/dryad.mkkwh71dd

Dryad, 283 MB, 8 files, organised as one zip per pipeline stage — 01_read_processing.zip through 07_biogeography.zip — plus a README.md I read in full that walks through each stage and marks which files are Dryad-only (large alignments) versus mirrored on GitHub. Raw reads live at NCBI SRA (PRJNA1336315), but processed alignments ship, so the downstream phylogenetics is reproducible without re-assembling reads.

C83 — Bee Swimming Is Adaptive but Disrupted by Insecticide

ecology (entomology/toxicology) · R · verified_complete: yes

https://datadryad.org/dataset/doi:10.5061/dryad.w9ghx3g2r

Communications Biology 2026 (primary article DOI on the record). Dryad, 30 MB, 25 files: Bee_swimming_paper_analysis.Rmd, 18 figure-specific .csv files named Fig1A.data.csv onward, five .mov videos and README.md read in full — it documents each csv down to what the measured angle means and when the experiment was run. Per-figure data files make partial verification easy.

C84 — Sheltered or Suppressed? Tree Regeneration in Unmanaged European Forests

ecology (forest dynamics) · R · verified_complete: yes

https://datadryad.org/dataset/doi:10.5061/dryad.hx3ffbgkx

Dryad, 2.3 MB, 5 files: data_corrected.zip, scripts_corrected.zip, make-public-data.R, README.md and — notably — CHANGELOG_correction.md. A deposit that versions its own corrections is a good verification subject: the changelog gives you a documented before/after to check against.

C85 — Diversity Regulation in Local Communities: Colonization and Extinction in North American Birds

ecology (macroecology) · R · verified_complete: yes

https://datadryad.org/dataset/doi:10.5061/dryad.5dv41nshz

Bohdalkova and Storch, Global Ecology & Biogeography (primary article DOI 10.1111/geb.70270 on the record). Dryad, 2.4 MB, 17 files: ten numbered R scripts (1_loading_subsampling_data.R through 10_corespecies_analyses.R) and six .RData processed datasets. I read the full README on the landing page: raw Breeding Bird Survey data must be downloaded separately for script 1, but "all subsequent scripts use the processed files provided here". Scripts 2-10 are reproducible as shipped, which is an honest and usable arrangement.

C86 — Residence Time and Functional Traits Shape Conspecific Plant-Soil Feedback

ecology (plant-soil interactions) · R · verified_complete: yes

https://datadryad.org/dataset/doi:10.5061/dryad.z34tmpgwn

Dryad records the related publication ISSN as 0022-0477 (Journal of Ecology); the record itself lists no primary-article DOI, so treat the journal attribution as the ISSN's, not a checked citation. 392 KB, 8 files: NovNat_WP3_PSF_Analysis.R (a single 197 KB script) plus six .xlsx trait and feedback datasets and a ~10 KB README.md. Small, curated, single-script analysis with all inputs present.

C87 — Zoned In or Zoned Out? Immersion in Slot Machine Gambling via Mobile Eye Tracking

psychology (addiction/attention) · R · verified_complete: yes

https://borealisdata.ca/dataset.xhtml?persistentId=doi:10.5683/SP2/GSOMLU

Nine files, 876 KB, none restricted: anonymised experiment and pilot data plus event-level data, four R scripts (GazeModel_Bootstrapping.R and three area-of-interest models for credits, reels and win displays), DataDictionary.txt and README.txt. Anonymised eye-tracking data that is actually distributable is unusual in this subfield.

C88 — Measuring Lexical Distance Between Parallel Corpora: AI-Generated News Translation

computational linguistics / methods · R · verified_complete: yes

https://borealisdata.ca/dataset.xhtml?persistentId=doi:10.5683/SP3/MFZTWZ

Conway et al. Nine files, 9.9 MB, none restricted: 1_conway_et_al_measurement_code.Rmd with both .docx and .pdf renderings of the same code, English and French lemmatization tables, substitution lists, 8_conway_et_al_corpus_data.RData, and 0_read_me.txt. Numbered filenames give the run order without needing to guess.

C89 — Everyday Emotion-Goal Pursuit Associations in Older Adults

psychology (lifespan/ambulatory assessment) · R · verified_complete: no

https://borealisdata.ca/dataset.xhtml?persistentId=doi:10.5683/SP3/LLQGA4

Choi, Zambrano Garza, Pauly et al. 2025. Seven files, 2.5 MB: Dataverse_analytic code.Rmd, Code for figures.R, README.txt, and — the problem — the only data present is f1_plot_data.tab/f1_summary.RData/f2_plot_data.tab/f2_summary.RData, i.e. figure-level summaries. The participant-level daily-diary data behind the models is not deposited. Marked no.

C90 — Species Interactions Limit the Predictability of Community Responses to Environmental Change

ecology (experimental microcosms) · R · verified_complete: could-not-check

https://borealisdata.ca/dataset.xhtml?persistentId=doi:10.5683/SP2/SJUDDO

Nine files, 148 KB, none restricted: six numbered R scripts running from 1_analyze_protist_videos_Patrick_SH.R to 6_protist_analysis.R, two .csv, and a Dryad cross-reference JSON. Data and code are both here and the numbering implies the order, but there is no README, so I will not claim run instructions are present.

C91 — Food Web Structure Across Basins in Lake Erie

ecology (freshwater food webs) · R · verified_complete: could-not-check

https://borealisdata.ca/dataset.xhtml?persistentId=doi:10.5683/SP3/6ZGCDT

Canadian Journal of Fisheries and Aquatic Sciences. Four files, 239 KB, none restricted: CJFAS_L-Erie-Foodweb-analysis.Rmd and three .tab datasets (fish data, SIBER inputs). An Rmd is close to self-documenting, but there is no README and no stated package requirements, so this is a could-not-check rather than a yes.

C92 — Using Otolith Chemistry to Characterize the Diet of Redfish (Sebastes sp.)

ecology (fisheries) · R · verified_complete: yes

https://borealisdata.ca/dataset.xhtml?persistentId=doi:10.5683/SP3/C7PW8A

Eight files, 1.9 MB, none restricted: three numbered .Rmd analyses (feeding, growth, otolith chemistry), an .Rproj, three .tab datasets and 00.README_Redfish_experiment.txt. A controlled six-month feeding experiment at ISMER/Maurice-Lamontagne with all arms deposited.

C93 — Overstocking and Temporal Feed Restriction Affect Dairy Cows' Drinking Behavior

animal science / behavioural ecology · R · verified_complete: yes

https://borealisdata.ca/dataset.xhtml?persistentId=doi:10.5683/SP3/JLDGQG

Eight files, 2.9 MB, none restricted: all_code_R_Markdown.Rmd with its knitted .html (so you have the author's own output to diff against), four .tab datasets covering feeding and water behaviours and the Latin-square design, a raw-data example, and ReadMe.txt. Shipping the knitted HTML alongside the Rmd is the detail that makes this an easy verification.

C94 — Habitat Use and Local Movement of Staging Lesser Yellowlegs

ecology (ornithology) · R · verified_complete: yes

https://borealisdata.ca/dataset.xhtml?persistentId=doi:10.5683/SP3/KKWVBG

Danyk et al., Journal of Field Ornithology 2025. Eight files, 72 KB, none restricted, in a real directory structure: Data/01_Local_movement/ and Data/02_Behaviour_and_habitat_use/ .tab files, Danyk_et_al_2025_statistical_analysis.Rmd, an .Rproj, and README_Danyk_et_al_2025.txt. 72 KB total.

C95 — Prediction Models for Post-Discharge Mortality Among Under-Five Children in Uganda

clinical epidemiology / ML · R · verified_complete: no

https://borealisdata.ca/dataset.xhtml?persistentId=doi:10.5683/SP3/M3OPKQ

Nine files including six R scripts (data manipulation, final models for 0-6m and 6-60m cohorts, learning curves, z-scores), two post-processed .rds and a data dictionary. All nine files are flagged restricted in the Dataverse record — I could see the manifest but nothing is downloadable without approval. Listed as a clean negative: good code structure, gated paediatric data.

C96 — Does Guilt Motivate Prosocial Behavior at the Expense of Others?

psychology (moral/social) · R (Stan) · verified_complete: yes

https://osf.io/f2xsz/

Preregistered replications with exploratory statistical analyses. I walked the OSF storage tree: 35 nodes across material/, data/, readme/ and supplementary materials/, with per-experiment readmes (readme_experiment1.txt, readme_experiment2.txt), participant-level data_exp1_all.csv and data_exp2_all.csv, variable-definition PDFs, six .Rmd analysis files and five .stan models, and a separate satisficer-exclusion branch under supplementary materials. Preregistered plus Bayesian plus full data is a strong combination.

C97 — How Effective Is Moral Framing in Promoting Pro-Environmentalism?

psychology (environmental/social) · R · verified_complete: yes

https://osf.io/2dqu6/

A preregistered replication of Wolsko et al. (2016), run as a Registered Report (the accepted stage-1 manuscript is in the project). 17 nodes split into Direct Replication (DR)/ and Conceptual Replication (CR)/, each with .xlsx data and separate preprocessing and analysis Rmd files — including both the planned scripts (DR-script-planned-data-analysis.Rmd) and the executed ones, plus a codebook and materials PDF. Having planned and actual scripts side by side is unusually good for verification.

C98 — Testing the Interleaving Effect Without Response Bias

psychology (learning/memory) · R · verified_complete: yes

https://osf.io/u436s/

A preregistered replication of Kornell & Bjork (2008). Eight nodes: data/IdentificationTask.csv and data/2AFCTask.csv, scripts/Identification.Rmd and scripts/AFC.Rmd, the timestamped preregistration PDF, and a supplementary-materials PDF. Two tasks, two datasets, two Rmds, 4.9 MB.

C99 — Preregistered Replication of "Sick Body, Vigilant Mind"

psychology (behavioural immune system) · R · verified_complete: yes

https://osf.io/k2dbf/

13 nodes: rawdata.zip, SBVM_data_aggregated.csv, two generations of analysis notebooks (SBVM_stage2.Rmd and SBVM_stage2rev.Rmd) each with knitted HTML, an IPA Files/ folder holding the in-principle-acceptance proposal and its R code, and a transparency checklist. Raw and aggregated data both present, plus the original and revised analyses — you can check whether the revision changed the conclusion.

C100 — The Dark Versus Bright Side of a Smiley

psychology (social cognition) · R + SPSS · verified_complete: yes

https://osf.io/n7yc4/

A preregistered replication of Experiment 3 in Glikson et al. (2018). 16 nodes organised as Data and code/{Excel,SPSS,Codebook,Code}/, Experimental material/ (including the Qualtrics .qsf survey definition), and a Statcheck/ folder with statcheck output run against the original paper's reported statistics. Shipping the Qualtrics instrument and a statcheck audit of the target paper is exactly the posture a verification board wants.

C101 — Feedback-Related Negativity and Reward-Prediction Error in Trial-and-Error Learning

psychology / cognitive neuroscience (EEG) · MATLAB · verified_complete: yes

https://osf.io/gf83h/

46 nodes, 2.8 GB: code/ with behavioral_analysis.m, erp_analysis.m and make_figures.m; data/behavioral_summary.mat; outputs/{figures,tables,models}/; a top-level README; and — the reason this one is unusually self-contained — a bundled eeglab2019_0.zip, pinning the toolbox version rather than assuming the reproducer installs a compatible one.

C102 — Hospital Admissions for Bipolar Disorder in Chile, 2001-2025

psychiatric epidemiology · R · verified_complete: yes

https://osf.io/y67f8/

Submitted to BMC Psychiatry. 53 nodes: datos/ (the harmonised cohort of 63,268 F30/F31 discharge episodes, national population projections, all-cause discharge counts), codigo/ with 13 R scripts, figuras/, resultados/, README.md and a MANIFIESTO.txt inventory. Built from Chile's open DEIS and INE data, and it ships a download manifest so the provenance chain is checkable.

C103 — Cross-Temporal Ecological Replications of Gendered Responses to Expressions of Anger

psychology / political behaviour · Stata + R · verified_complete: could-not-check

https://osf.io/cbe7g/

60 nodes organised as Code for Data ID 1-3/ through Code for Data ID 10/ plus Meta-analysis/ and Independent rating/, holding 16 do-files and 17 .Rmd files and README.txt files at branch level. The structure is a genuine multi-study replication series, which is interesting. I could not confirm from the tree whether participant-level data accompanies every study branch, so I am not claiming completeness.

C104 — Does Internet Use Translate into Time Relief? Women's Housework in China

sociology / development economics · Stata · verified_complete: no

https://osf.io/nuzvy/

22 nodes: run_all.do at the root, code/, data/README_data_access.md, output/ with non-disclosive aggregate model results, CITATION.cff, LICENSE and README.md. The record is candid that it ships "Stata replication code and non-disclosive aggregate outputs" — the CFPS panel microdata must be obtained from the data provider. Marked no, but the aggregate outputs mean a partial check against published tables is still possible.

C105 — Scalable Bayesian Prediction for High-Resolution Areal Disease Forecasting

statistics (spatio-temporal/Bayesian) · R (INLA) · verified_complete: no

https://github.com/spatialstatisticsupna/Scalable_Prediction

Orozco-Acosta et al., Biometrical Journal 65(8), 2023. Opened the repo: Rcode/, data/, results/, Scalable_Prediction.Rproj, README.md. The README organises scripts by paper section and documents dependencies precisely (R 4.2.0, INLA, the authors' bigDM package). Marked no for a reason worth recording: the real cancer mortality data for Spain's 7,907 municipalities is confidential, and the deposit substitutes structurally comparable synthetic data. You can verify the method, not the published numbers.

C106 — EEGManyPipelines Analysis Code

psychology / statistics (multi-analyst) · Python (MNE) · verified_complete: no

https://zenodo.org/records/6549063

One team's pipeline from the EEGManyPipelines multi-analyst project. 1.2 MB, 33 entries: 16 Python scripts (03_run_ica.py, 06_run_autoreject.py, …), environment.yml, README.md read from the archive, a CITATION.cff, and two instruction PDFs ("Instructions for analysts", "Instructions for the script folder"). The README carries a GitHub Actions "Run analysis" badge, so the pipeline is CI-exercised. Marked no on data only: the shared EEG dataset is distributed by the EEGManyPipelines organisers, not bundled. Valuable as a study of analytic variability rather than a single result.

C107 — Bender Study: Pattern Analysis of Memory Reactivation, Suppression and Integration

cognitive neuroscience (fMRI) · Python · verified_complete: could-not-check

https://zenodo.org/records/6967583

Preston lab. 2.2 MB, 73 entries: 25 Python files, 26 shell scripts, 6 notebooks, pyproject-style .toml, README.md read from the archive. The README is refreshingly honest — it says the steps are "designed to reproduce all analyses presented in the paper" but that "the procedure has not been repeated since the original run, and may be missing some steps", and that it was tested on the Lonestar 6 cluster. Code and instructions yes; imaging data is external, and the authors themselves flag the instructions as possibly incomplete.

C108 — Decision-Making Dynamics Are Predicted by Arousal and Uninstructed Movements

neuroscience (behaviour/electrophysiology) · Python · verified_complete: no

https://zenodo.org/records/10306018

Hulsey et al. 2023. 7.1 MB, 223 entries: 77 Python files, 14 notebooks, seven README.md files at directory level, an environment.yml, and a Cython extension. Marked no because the record states the related NWB data files are deposited on DANDI (10.48324/dandi.000678) rather than here — public, but a separate fetch. A good example of the increasingly common code-here/data-there split.

C109 — eComp Analysis Code

cognitive neuroscience (EEG) · Python (MNE) · verified_complete: could-not-check

https://zenodo.org/records/7335171

666 KB, 223 entries: 12 Python scripts including 03_run_ica.py, an environment.yml, a CITATION.cff, README.md and a plain README, plus 91 .json and 27 .tsv files that look like BIDS sidecars rather than the recordings themselves. Environment and code are pinned and present; whether the EEG data needed to execute the pipeline is included, the manifest does not settle.

C110 — Detecting Edgeworth Cycles

economics (industrial organization / ML) · Python · verified_complete: yes

https://zenodo.org/records/10126406

Holt, Igami and Scheidegger. 145 MB, 29 entries; I read the README.md out of the remote zip — the authors explicitly offer the repository as "a sandbox for researchers interested in studying gasoline price data". Ships 20 Python files including LSTM and estimation frameworks, a replication_conda_environment.yml, a README PDF and the paper-plus-appendix PDF. A methods-comparison paper (classifiers for retail-fuel price cycles) with a pinned conda environment and public price data.

C111 — Mapping Firms' Locations in Technological Space: Topological Analysis of Patent Statistics

economics / applied topology · Python · verified_complete: yes

https://zenodo.org/records/7957848

39 MB, 322 entries. I read the README.md from inside the zip: it is a proper setup guide (virtualenv recommended, module install, then the scripts). Ships 198 .csv files of yearly cosine distances plus a requirements.txt and multiple nested READMEs including one for the Jaffe measures. Built on public USPTO patent statistics, so nothing is gated.