bootstrap v0.1.0 from 473d5ad523da

README.md

@@ -1,3 +1,113 @@
----
-license: cc-by-4.0
----
+---
+license: cc-by-4.0
+language:
+- pt
+- en
+pretty_name: ICSKG-BR Processed Data
+size_categories:
+- 10K<n<100K
+tags:
+- global-surgery
+- urban-development
+- brazil
+- epidemiology
+- lcogs
+- cimi
+- panel-data
+- datasus
+---
+
+# ICSKG-BR: Index of Cities' Smartness & Knowledge for Global Surgery — Brazil
+
+Processed data layer for the ICSKG-BR longitudinal ecological panel study.
+Cross-references the IESE Cities in Motion Index (CIMI) urban development
+framework against Lancet Commission on Global Surgery (LCoGS) indicators
+across all 5,570 Brazilian municipalities (2015-2023).
+
+**This dataset is currently private during the BMJ Global Health pre-submission
+window. It will become public (CC-BY-4.0) upon publication.**
+
+## Provenance
+
+- Source code: https://github.com/matheus-rech/ICSKG
+- Dataset version: `v0.1.0`
+- Schema version: `1.0`
+- Generated at: `2026-04-07T15:07:40Z`
+- Source DuckDB: `icskg_br_export.duckdb` (sha256 `473d5ad523dab966`)
+- Compression: `zstd` level `6`
+
+## Totals
+
+| Metric | Value |
+|---|---|
+| Tables | 22 |
+| Total rows | 19,987,298 |
+| Compressed size | 230.23 MB |
+
+## Tables by namespace
+
+### `lcogs/`
+
+| Table | Rows | Columns | Size |
+|---|---|---|---|
+| `lcogs1_access` | 5,571 | 6 | 43.50 KB |
+| `v_lcogs_latest` | 5,570 | 30 | 367.28 KB |
+| `v_lcogs_panel` | 50,130 | 30 | 2442.88 KB |
+| `v_lcogs_summary` | 49,717 | 26 | 1394.48 KB |
+
+### `source_tables/`
+
+| Table | Rows | Columns | Size |
+|---|---|---|---|
+| `ans_cobertura` | 5,594 | 6 | 60.58 KB |
+| `bellwether_hospitals` | 765 | 7 | 23.84 KB |
+| `censo2022_saneamento` | 5,570 | 4 | 47.88 KB |
+| `cnes_professionals_raw` | 218,461 | 6 | 129.47 KB |
+| `frota_veiculos` | 5,571 | 3 | 44.96 KB |
+| `gdp` | 50,130 | 4 | 418.16 KB |
+| `idhm` | 5,564 | 7 | 53.21 KB |
+| `idhm_historical` | 16,692 | 7 | 113.26 KB |
+| `ifgf` | 50,112 | 7 | 581.19 KB |
+| `mobility` | 5,535 | 3 | 35.73 KB |
+| `municipalities` | 5,571 | 12 | 154.55 KB |
+| `national_indicators` | 51 | 5 | 3.08 KB |
+| `pipeline_log` | 490 | 9 | 9.07 KB |
+| `population` | 50,130 | 3 | 207.30 KB |
+| `sao_workforce` | 49,753 | 8 | 383.22 KB |
+| `sih_municipal` | 50,170 | 8 | 442.42 KB |
+| `sih_raw` | 19,355,506 | 25 | 228794.05 KB |
+| `v_sao_annual` | 645 | 6 | 5.82 KB |
+
+## Loading
+
+```python
+from huggingface_hub import snapshot_download
+import duckdb
+
+local = snapshot_download(
+    repo_id='mmrech/icskg-br-processed',
+    repo_type='dataset',
+    revision='v0.1.0',
+    allow_patterns=['**/*.parquet', 'manifest.json'],
+)
+
+# Read the main panel directly:
+panel = duckdb.sql(f"SELECT * FROM '{local}/panel/municipal_health.parquet'").df()
+```
+
+## Citation
+
+If you use this dataset, please cite the project:
+
+```
+Rech, Matheus M. (2026). ICSKG-BR: Index of Cities' Smartness & Knowledge
+for Global Surgery — Brazil. https://github.com/matheus-rech/ICSKG
+```
+
+Production Zenodo DOI will be minted at BMJ acceptance.
+
+## License
+
+Source data is public under Brazilian Lei de Acesso à Informação
+(Law 12.527/2011). This processed dataset is released under CC-BY-4.0
+after BMJ Global Health publication.

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manifest.json

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+  "dataset_name": "mmrech/icskg-br-processed",
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+  "schema_version": "1.0",
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