v0.8.1

Patch release. Clean build published to PyPI: https://pypi.org/project/eegdash/0.8.1/

Fixed

• Restored feature-extraction and dataset-IO work unintentionally removed by #359: feature decorators/extractors, the complexity/connectivity/signal feature banks, and eegdash.dataset.io (#365)

Added

• Ingestion pipeline: golden-test safety net (InjectionPlan / ValidationReport / montage snapshots) plus a DDD-lite glossary and ADRs documenting the typed-pipeline design (#364)

Full changelog: CHANGELOG.md

v0.7.2

What's Changed

Added

• NEMAR digest-time sidecar inlining: storage.sidecar_inline carries small text BIDS sidecars (TSV/JSON/README) so the runtime never round-trips to GitHub for an enriched record. Stress-tested on 29 NEMAR datasets / 11,430 records (#334)

Changed

• Quieted canonical-alias collision logs in the dataset registry; refreshed uv.lock (#333)

Full Changelog: v0.7.1...v0.7.2

v0.7.1

What's Changed

Fixed

• NEMAR anonymous S3 + GitHub access end-to-end: stop probing with ListBucket, use s3fs.get_file() for direct anonymous GetObject, and route via GitHub-pointer-first with the largefiles annex rule (#332)

Full Changelog: v0.7.0...v0.7.1

v0.7.0

Added

• Pick-channels feature for feature extractors (#302)
• Canonical-name aliases for dataset class registry (#306)
• Feature-as-preprocessor wrapper, including preprocessor_as_feature (#308)
• Montage registry pipeline with S3 FIF header fallback (#325)
• Embedded electrode-explorer iframe on each dataset documentation page (#326)
• Feature dataset and extractor improvements (#323)
• Feature extractor addons (#331)

Fixed

• Reconcile source / storage.base against dataset_id pattern in ingest (#329)
• Feature column-naming consistency in extractor output (#330)
• signal_decorrelation_time logic correction (#328)
• NEMAR source detection and removal of three redirecting OpenNeuro IDs (#327)
• Dataset hero badge row alignment by pinning each :width: to SVG natural size (#324)
• requestIdleCallback signature plus shield-badge aspect ratio (#322)
• Restore _rewrite_sitemap_index dropped during #318 rebase (#321)
• Rewrite homepage entry to canonical bare-host URL in sitemap (#319)
• SEO batch-2: short/missing metas, duplicate tags, plus local validator and audit log (#318)
• Cap long meta descriptions broken by an apostrophe regex (#317)
• P0+P1 figure fixes — Sankey SVG export, clinical split, growth log, bubble labels

Changed

• Refactor bivariate iterator to enforce directed/undirected logic on metrics (#309, #310)
• Convert feature class decorators to functions (#305)
• Minimize runtime dependencies; replace parquet with safetensors for feature serialization

Performance

• Drop 2.2 MiB per-page payload, recover 1.1K+ 404s, add GSC/Bing/IndexNow hooks (#315)
• Vendor Fuse.js plus post-build asset fingerprinting (#320)

Documentation

• Polish catalog charts, table, intro and extend author-year alias resolution (#307)
• Structured data, Open Graph cards, meta descriptions, JS gating (#311)
• Agent-readiness, library-first hero, paper-accurate citation block (#312)
• llms.txt coverage, dataset_summary.md shrink, directive hints (#314)
• Remove AI-isms across user-facing documentation (#316)
• Redesigned social card with brand identity and code snippet

v0.6.0

Added

• Publication-quality chart redesign with PDF export (#299)
• EEGDash API tutorial (#283)
• Intel Mac system support with conditional numba and torch pinning (#294)
• Preprocessor output type system with documentation and inspection (#278, #289, #290, #291, #292)
• Feature extractor configuration files (#286)
• Optional recording-info parameter for feature extractors (#284, #285)
• on_error parameter to skip bad records during data loading (#276)
• CTF direct reader for .ds directories (#279)
• BrainVision handling with auto-repair and metadata generation (#236)
• Enhanced documentation search with autocomplete and live search (#238)
• fNIRS metadata extraction support (#238)
• EDF/BDF metadata extraction via MNE
• Auto-sync dataset CSV with git-annex size correction (#298)
• Duration computation for recordings
• datasets_dict dictionary for programmatic dataset access (#209)
• HTTP API client (#214)
• acq- BIDS entity support in record pipeline (#247)
• Pathology and modality labels for dataset summary (#212)
• Number of sessions column in dataset summary table
• Unified color palette across plots and CSS tags

Fixed

• Reliable data loading across 522 EEG datasets (#282)
• Git-annex key path resolution to BIDS names for S3 downloads (#280)
• BIDS TSV whitespace-padded n/a values (#278)
• BIDS coordinate system validation and extended non-numeric run fallback (#277)
• EEGLAB format: truncated .fdt handling (#266), epoch/trial mismatch (#275), latin-1 encoding (#269), error handling (#272)
• CTF "Illegal date" handling for numeric dash dates (#262)
• Corrupt MAT/EEGLAB file detection (#265)
• Participants.tsv subject/session ID repair (#264)
• Non-numeric run entities via check=False in BIDSPath (#263)
• Empty or malformed channels.tsv handling (#270)
• Auto-discovery and download of companion files .fdt, .eeg, .vmrk (#268)
• Split FIF file handling and continuation file downloads (#273)
• TSV encoding fallback order (#240, #241)
• Case-insensitive BIDS sidecar matching for task entity mismatches (#242, #243)
• Duplicate participant_id in participants.tsv (#244)
• European comma decimal separators in BIDS TSV files (#257)
• iEEG coordsystem.json key handling (#236)
• Git-annex key pointer rewriting in VHDR files (#259, #261)
• Corrupt data, bad timestamps, and invalid BIDS entity handling (#260)
• Directory-based format recursive download support (#253)
• Dynamic cumulative_sizes and accurate nchans computation (#243)
• BIDSPath entity extraction for git-annex datasets (#245)
• Subject/participant TSV fallback handling (#248)
• Signal filter preprocessor bug (#288)
• Anonymous hyperlinks in docstrings to avoid duplicate target warnings
• MNE/Dataset compatibility with retry handlers for multiple failing datasets (#271)

Changed

• Switched to released PyPI versions for MNE and MNE-BIDS dependencies
• Required pandas>=2.0 (#210)
• Consolidated _load_raw error handling into single retry loop
• Expanded default BIDS modalities to include SNIRF
• Bumped braindecode dependency to >=1.4.0

Documentation

• Full docstrings for Features module (#281, #287)
• Dataset documentation with tags, feedback section, and visualization updates (#235)
• P3 oddball tutorial updates (#192)
• Improved dataset page layout and README parser