FRP Fatigue Literature Database (S-N)

Data are provided as normalized CSV tables and as a nested JSON representation. The release also includes the record schema (v0.21; v0.16 is retained unchanged for compatibility), a view schema (v5), field dictionary, coding manuals, provenance and quality documentation, known limitations, and Python scripts for validation, loading, basic S-N fitting, recomputing the tables of the accompanying data paper, and redrawing its figures.</p><p dir="ltr">The confirmed S-N dataset covers multiple FRP material systems, including GFRP and CFRP, and coupon-, bond-, reinforced-concrete- and strengthened-structure-related fatigue tests.

Variable-amplitude data that could not be represented within the constant-amplitude S-N structure are excluded and documented separately.</p><p dir="ltr">Two accuracy measurements are reported. A post-review random re-check of 50 data points yielded a value accuracy of 94.0% (95% CI: 83.5-98.7%). The judgement columns, which state what the source does and does not report, were re-extracted blind and adjudicated with the two readings hidden from the adjudicator; the residual rate of claims the source does not support is 1.56%, with no cell resting on an inferred or model-predicted basis.

All released files are subject to automated checks for table counts, foreign-key integrity, CSV-JSON consistency, schema conformity, field consistency, exclusion evidence, agreement between a cell's value and the words of its basis, and release-manifest integrity. Known limitations, including the four series columns that carry no per-cell record of what the source said, are listed in docs/known_limitations.md.</p><p dir="ltr">The dataset is intended for fatigue-data synthesis, model development and validation, comparative studies of FRP fatigue behavior, and data-driven applications.

Users should consult the documentation and the known limitations before combining data across stress measures, units, material systems, or test configurations.</p><p dir="ltr">This version adds six files. REPRODUCE.md gives the environment, the commands and the expected output for verifying the copy, running the validator, recomputing the tables of the data paper and redrawing its figures, together with the one-line rule that identifies the 13 point-level exclusions the nested view cannot hold. docs/crosswalk.md relates the fields to the test standards the sources cite and to two literature-mined metal fatigue datasets, and states what a merge loses. docs/triage_rejudged_60.csv and docs/eligibility_estimate.md hold the sample audit that estimates how much eligible literature is left in the acquired files that were never read, with its stratum allocation, its Clopper-Pearson intervals and three projection denominators. scripts/make_tables.py recomputes every count of the data paper's tables from the deposited tables alone, and scripts/make_figures.py redraws the three figures from the deposit with no path to edit.

No data value changed in this version.</p><p dir="ltr">This version is delivered as a single ZIP archive containing the 57 files listed in release_manifest.md; unpacking it reproduces the published layout, so scripts/validate.py runs from the unpacked folder without any path change. sha256 of the archive: c775185c908bdb576fb6f0b0df3e1dabd872e990d6d68d6e1e4d9ac2a584e173. Data and documentation are under CC BY 4.0; the code directories scripts/ and audit/scripts/ are under the MIT licence, as stated in LICENSE-DATA.txt.</p>