FIGARO (2026) (part 2)

DISCLAIMER.md

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+# Disclaimer
+
+This dataset is redistributed by **OptimalSolution LLC** as part of the multimod
+data bank. The original publisher is **Eurostat**.
+
+**Redistribution only; no responsibility.** OptimalSolution LLC redistributes this
+data and is not responsible for its content, accuracy, completeness, currency or
+fitness for any purpose. Questions about what the data says, how it was
+collected or what it means belong to the original publisher.
+
+**No endorsement and no position.** Inclusion in this data bank implies no
+judgement, endorsement or position by OptimalSolution LLC regarding the data, its
+publisher, the methodology behind it, or any conclusion that anyone draws from
+it. Datasets are included because they are useful inputs to energy-system
+models, not because OptimalSolution LLC agrees with them.
+
+**No affiliation.** OptimalSolution LLC is not affiliated with, sponsored by or
+endorsed by Eurostat. All trademarks, names and credit remain with the
+original publisher.
+
+**Provided as-is; no warranty.** This copy is provided as-is, without warranty of
+any kind, express or implied. The original publisher's licence and terms govern
+your use of the data; where this copy and the publisher's own release differ, the
+publisher's release is authoritative.
+
+## Changes made to the published data
+
+The tables here are RESTRUCTURED, not a passthrough: Eurostat's SDMX-CSV was reshaped, its dimension columns renamed, and five columns dropped (DATAFLOW and LAST UPDATE repeat the dataset identity the manifest records, freq is 'A' on every row, and OBS_FLAG/CONF_STATUS are empty throughout). Codes are stored exactly as published, including FIGARO's two spellings of the same industry. No value was recomputed, rescaled or imputed.
+
+Per-dataset detail is recorded in each `dataset.yml` under `bank.modifications`
+and `bank.changes`, and is served by the platform API alongside the data.

LICENSE-CC-BY-4.0.txt

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+Eurostat data is reusable under the Creative Commons Attribution 4.0
+International licence (CC BY 4.0), per Commission Decision 2011/833/EU on
+the reuse of Commission documents.
+
+  https://creativecommons.org/licenses/by/4.0/
+  https://eur-lex.europa.eu/eli/dec/2011/833/oj/eng
+
+From Eurostat's copyright/licence policy:
+
+  "Reuse is authorised provided the source is acknowledged."
+
+  "Downloading and reproduction of Eurostat data for personal use or for
+  further non-commercial or commercial dissemination are authorised
+  provided appropriate acknowledgement is given to Eurostat as the source."
+
+EXCEPTION, and it matters here: the permission does NOT extend to
+third-party copyright material identifiable as such. FIGARO is a global
+table and incorporates national accounts and trade statistics from non-EU
+jurisdictions; where a figure originates outside Eurostat, permission is
+the copyright holder's to give.

NOTICE.md

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+# Attribution
+
+This product includes data from Eurostat, used under CC BY 4.0.
+
+    Data: Eurostat (FIGARO 2026 edition) - CC-BY-4.0
+    https://ec.europa.eu/eurostat/web/esa-supply-use-input-tables
+
+Eurostat's reuse permission does not cover third-party material. FIGARO is a global table built partly from non-EU national accounts and trade statistics; see LICENSE-CC-BY-4.0.txt.
+
+Reporting areas are Eurostat geo codes, not ISO 3166-1 alpha-3. The
+crosswalk to ISO3 is in scales/figaro_geo.csv.

README.md

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+---
+license: cc-by-4.0
+pretty_name: FIGARO
+tags:
+- input-output
+- supply-use
+- national-accounts
+- footprints
+- europe
+- global
+configs:
+- config_name: energy_footprints
+  data_files: datasets/figaro_energy_footprints/data/*.parquet
+- config_name: fgde
+  data_files: datasets/figaro_fgde/data/**/*.parquet
+- config_name: fgdee
+  data_files: datasets/figaro_fgdee/data/**/*.parquet
+- config_name: fgdem
+  data_files: datasets/figaro_fgdem/data/*.parquet
+- config_name: fgdf
+  data_files: datasets/figaro_fgdf/data/*.parquet
+- config_name: fgdfe
+  data_files: datasets/figaro_fgdfe/data/*.parquet
+- config_name: fgdfef
+  data_files: datasets/figaro_fgdfef/data/*.parquet
+- config_name: fgdfi
+  data_files: datasets/figaro_fgdfi/data/*.parquet
+- config_name: fgdm
+  data_files: datasets/figaro_fgdm/data/*.parquet
+- config_name: fgfd
+  data_files: datasets/figaro_fgfd/data/*.parquet
+- config_name: fgfeie
+  data_files: datasets/figaro_fgfeie/data/*.parquet
+- config_name: fgfeim
+  data_files: datasets/figaro_fgfeim/data/*.parquet
+- config_name: fgfoee
+  data_files: datasets/figaro_fgfoee/data/*.parquet
+- config_name: fgfoem
+  data_files: datasets/figaro_fgfoem/data/*.parquet
+- config_name: fgfoie
+  data_files: datasets/figaro_fgfoie/data/*.parquet
+- config_name: fgfoim
+  data_files: datasets/figaro_fgfoim/data/*.parquet
+- config_name: fggvce
+  data_files: datasets/figaro_fggvce/data/*.parquet
+- config_name: fggvcm
+  data_files: datasets/figaro_fggvcm/data/*.parquet
+- config_name: fgte
+  data_files: datasets/figaro_fgte/data/*.parquet
+- config_name: fgtex
+  data_files: datasets/figaro_fgtex/data/*.parquet
+- config_name: fgti
+  data_files: datasets/figaro_fgti/data/*.parquet
+- config_name: ghg_footprints
+  data_files: datasets/figaro_ghg_footprints/data/**/*.parquet
+- config_name: io_industry
+  data_files: datasets/figaro_io_industry/data/**/*.parquet
+- config_name: io_product
+  data_files: datasets/figaro_io_product/data/**/*.parquet
+- config_name: land_footprints
+  data_files: datasets/figaro_land_footprints/data/*.parquet
+- config_name: supply
+  data_files: datasets/figaro_supply/data/*.parquet
+- config_name: use
+  data_files: datasets/figaro_use/data/**/*.parquet
+---
+
+# FIGARO (2026 edition)
+
+EU inter-country supply, use and input-output tables, and the environmental footprints derived from them. Industry, product and area scales are in `scales/` as multiscales objects exported as data.
+
+## Terms
+
+- **Licence**: CC-BY-4.0 (https://creativecommons.org/licenses/by/4.0/)
+- **Attribution**: Data: Eurostat (FIGARO) - CC-BY-4.0
+- **Cite as**: Eurostat, EU inter-country supply, use and input-output tables (FIGARO), 2026 edition.
+- **Source**: https://ec.europa.eu/eurostat/web/esa-supply-use-input-tables
+
+Redistributed by OptimalSolution LLC -- see `DISCLAIMER.md`. Redistribution only: no responsibility for the content, no endorsement or position, no affiliation with the publisher, no warranty. What was changed from the published data is recorded per dataset under `bank.modifications` and `bank.changes`.
+
+## Read this before you aggregate
+
+- FIGARO spells the SAME industry two ways in two tables of the same family: C10-C12 in the supply table's nace_r2, C10-12 in ind_use/ind_ava. Joining supply to use on industry silently matches nothing for 11 of 64 industries. scales/figaro_industry.csv carries both spellings and is the crosswalk.
+- The axes are not purely industries and products. ind_use also carries final demand (P3_S13/S14/S15, P51G, P5M) and prd_ava also carries value added (B2A3G, D1, D21X31, D29X39, OP_RES, OP_NRES). Summing an axis without separating these adds final demand to industry output.
+- Reporting areas are Eurostat geo codes: EL is Greece, UK is the United Kingdom and WRL_REST is the rest of the world. scales/figaro_geo.csv maps them to ISO3 where one exists.
+- DOM ('Domestic country') in c_orig is NOT a partner country and does NOT duplicate the self-pair. Verified on the 2020 use table: it appears on exactly the six value-added rows (B2A3G, D1, D21X31, D29X39, OP_RES, OP_NRES) and on nothing else, with zero overlap against the 64 products -- value added has no foreign origin. So c_orig is additive; it is the PRODUCT axis that is not, because summing all 70 codes adds value added to intermediate inputs.
+- Datasets above 10M rows are written hive-partitioned by year. energyRt's en_open_dataset() CANNOT read a hive layout -- it lists non-recursively, so year=2010/ has no extension to sniff -- so getDataset() works only for the single-part datasets. Each dataset.yml records this as storage.energyrt_readable.
+
+## Using it
+
+```r
+# the supply table
+arrow::read_feather("datasets/figaro_supply/data/part-0.arrow")
+
+# a hive-partitioned table, one year only
+arrow::open_dataset("datasets/figaro_use/data", format = "feather") |>
+  dplyr::filter(year == 2020) |> dplyr::collect()
+
+# the industry scale, and the 11 codes with two spellings
+ind <- read.csv("scales/figaro_industry.csv")
+ind[ind$industry != ind$nace_code, c("industry", "nace_code")]
+```
+

datasets/figaro_land_footprints/data/part-0.parquet

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+size 3167

datasets/figaro_land_footprints/dataset.yml

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+layout: 3
+class: dataset
+name: figaro_land_footprints
+kind: table
+format: parquet
+dim:
+- 165
+- 6
+created: '2026-09-17T21:33:31Z'
+updated: '2026-09-17T21:33:31Z'
+memo: FIGARO land footprints
+bank:
+  schema_version: 1
+  source: figaro
+  slug: figaro/land-footprints
+  title: FIGARO land footprints
+  description: Bilateral land-use footprints, in hectares.
+  license: CC-BY-4.0
+  attribution: 'Data: Eurostat (FIGARO) - CC-BY-4.0'
+  citation: Eurostat, EU inter-country supply, use and input-output tables (FIGARO),
+    2026 edition.
+  homepage: https://ec.europa.eu/eurostat/web/esa-supply-use-input-tables
+  visibility: public
+  edition: '2026'
+  edition_released: '2026-07-20'
+  modifications: restructured
+  modification_notice: Reshaped from Eurostat's SDMX-CSV release. Values are carried
+    through unchanged; no figure has been recomputed, rescaled or imputed.
+  changes:
+  - Converted SDMX-CSV to Arrow IPC (zstd-15), dictionary-encoded.
+  - 'Dropped DATAFLOW, LAST UPDATE, freq, OBS_FLAG and CONF_STATUS: the first two
+    repeat the dataset identity the manifest records, freq is ''A'' on every row,
+    and the flags are empty throughout. Together they are ~45 of the 81 bytes an SDMX-CSV
+    row costs.'
+  - Renamed the SDMX dimensions to the names in `schema.columns`.
+  - Dropped rows with no observation rather than filling them with zero.
+  - Codes are stored AS PUBLISHED, including FIGARO's two spellings of the same industry
+    (C10-C12 in supply, C10-12 elsewhere); scales/figaro_industry.csv carries both
+    and is the crosswalk.
+  provenance:
+  - dataset: env_ac_landfp
+    url: https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/env_ac_landfp/?format=SDMX-CSV&compressed=true
+    raw_sha256: 031f70920008f99f96ebc3d30c1c8ab606d58d69f5c4fbda81399b85a43a5b7f
+    raw_bytes: 1699
+    fetched_at: '2026-09-17T20:23:47Z'
+    upstream_last_modified: ''
+    source_columns:
+    - DATAFLOW
+    - LAST UPDATE
+    - freq
+    - c_dest
+    - indic_env
+    - unit
+    - c_orig
+    - TIME_PERIOD
+    - OBS_VALUE
+    - OBS_FLAG
+    - CONF_STATUS
+  schema:
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+    - indicator
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+    - value
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+    - c_orig
+    - c_dest
+    - year
+    value_column: value
+    unit_column: unit
+  units: []
+  additive_over:
+  - c_orig
+  - c_dest
+  not_additive_over: []
+  coverage:
+    start: 2014
+    end: 2024
+    n_years: 11
+    rows: 165
+  scales:
+    industry: scales/figaro_industry.json
+    product: scales/figaro_product.json
+    geo: scales/figaro_geo.json
+    calendar: annual
+  storage:
+    format: parquet
+    layout: single
+    partition_by: []
+    partition_types: []
+    parts: 1
+    compression: zstd
+    bytes: 3167
+    energyrt_readable: yes
+    part_sha256: fe8a8fa415bd54b9fdaebf15f9a28d383aa93196d4175a4dc952b9ccef5ef078

datasets/figaro_land_footprints/layout

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datasets/figaro_supply/dataset.yml

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+layout: 3
+class: dataset
+name: figaro_supply
+kind: table
+format: parquet
+dim:
+- 3072000
+- 6
+created: '2026-09-17T21:30:51Z'
+updated: '2026-09-17T21:30:51Z'
+memo: FIGARO supply table at basic prices
+bank:
+  schema_version: 1
+  source: figaro
+  slug: figaro/supply
+  title: FIGARO supply table at basic prices
+  description: Supply of products by industry at basic prices, by reporting area.
+    Industries are spelled the NACE way here (C10-C12) and the CPA way in every other
+    table.
+  license: CC-BY-4.0
+  attribution: 'Data: Eurostat (FIGARO) - CC-BY-4.0'
+  citation: Eurostat, EU inter-country supply, use and input-output tables (FIGARO),
+    2026 edition.
+  homepage: https://ec.europa.eu/eurostat/web/esa-supply-use-input-tables
+  visibility: public
+  edition: '2026'
+  edition_released: '2026-07-20'
+  modifications: restructured
+  modification_notice: Reshaped from Eurostat's SDMX-CSV release. Values are carried
+    through unchanged; no figure has been recomputed, rescaled or imputed.
+  changes:
+  - Converted SDMX-CSV to Arrow IPC (zstd-15), dictionary-encoded.
+  - 'Dropped DATAFLOW, LAST UPDATE, freq, OBS_FLAG and CONF_STATUS: the first two
+    repeat the dataset identity the manifest records, freq is ''A'' on every row,
+    and the flags are empty throughout. Together they are ~45 of the 81 bytes an SDMX-CSV
+    row costs.'
+  - Renamed the SDMX dimensions to the names in `schema.columns`.
+  - Dropped rows with no observation rather than filling them with zero.
+  - Codes are stored AS PUBLISHED, including FIGARO's two spellings of the same industry
+    (C10-C12 in supply, C10-12 elsewhere); scales/figaro_industry.csv carries both
+    and is the crosswalk.
+  provenance:
+  - dataset: naio_10_fcp_s1
+    url: https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/naio_10_fcp_s1/?format=SDMX-CSV&compressed=true
+    raw_sha256: be073b1718bdcf74ad94c3ddf1428ff169591481b1a219249d91e61471ccb222
+    raw_bytes: 3470983
+    fetched_at: '2026-09-17T19:37:22Z'
+    upstream_last_modified: ''
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+    - LAST UPDATE
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+    - cpa2_1
+    - unit
+    - geo
+    - TIME_PERIOD
+    - OBS_VALUE
+    - OBS_FLAG
+    - CONF_STATUS
+  - dataset: naio_10_fcp_s2
+    url: https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/naio_10_fcp_s2/?format=SDMX-CSV&compressed=true
+    raw_sha256: ca30c0f171e8f67938fa50c1e1246b47820f6e9b998695e27ea2e3723e93d332
+    raw_bytes: 3502397
+    fetched_at: '2026-09-17T19:37:25Z'
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+    - cpa2_1
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+    - geo
+    - TIME_PERIOD
+    - OBS_VALUE
+    - OBS_FLAG
+    - CONF_STATUS
+  - dataset: naio_10_fcp_s3
+    url: https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/naio_10_fcp_s3/?format=SDMX-CSV&compressed=true
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+    - OBS_VALUE
+    - OBS_FLAG
+    - CONF_STATUS
+  - dataset: naio_10_fcp_s4
+    url: https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/naio_10_fcp_s4/?format=SDMX-CSV&compressed=true
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+  additive_over:
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+  - industry
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+  coverage:
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+    end: 2024
+    n_years: 15
+    rows: 3072000
+  scales:
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+    product: scales/figaro_product.json
+    geo: scales/figaro_geo.json
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+    energyrt_readable: yes
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+kind: table
+format: parquet
+dim:
+- 165910500
+- 7
+created: '2026-09-17T21:30:37Z'
+updated: '2026-09-17T21:30:37Z'
+memo: FIGARO use table at basic prices
+bank:
+  schema_version: 1
+  source: figaro
+  slug: figaro/use
+  title: FIGARO use table at basic prices
+  description: Bilateral use of products by industry at basic prices. `industry` also
+    carries final demand (P3_S13/S14/S15, P51G, P5M) and `product` also carries value
+    added (B2A3G, D1, D21X31, D29X39, OP_RES, OP_NRES).
+  license: CC-BY-4.0
+  attribution: 'Data: Eurostat (FIGARO) - CC-BY-4.0'
+  citation: Eurostat, EU inter-country supply, use and input-output tables (FIGARO),
+    2026 edition.
+  homepage: https://ec.europa.eu/eurostat/web/esa-supply-use-input-tables
+  visibility: public
+  edition: '2026'
+  edition_released: '2026-07-20'
+  modifications: restructured
+  modification_notice: Reshaped from Eurostat's SDMX-CSV release. Values are carried
+    through unchanged; no figure has been recomputed, rescaled or imputed.
+  changes:
+  - Converted SDMX-CSV to Arrow IPC (zstd-15), dictionary-encoded.
+  - 'Dropped DATAFLOW, LAST UPDATE, freq, OBS_FLAG and CONF_STATUS: the first two
+    repeat the dataset identity the manifest records, freq is ''A'' on every row,
+    and the flags are empty throughout. Together they are ~45 of the 81 bytes an SDMX-CSV
+    row costs.'
+  - Renamed the SDMX dimensions to the names in `schema.columns`.
+  - Dropped rows with no observation rather than filling them with zero.
+  - Codes are stored AS PUBLISHED, including FIGARO's two spellings of the same industry
+    (C10-C12 in supply, C10-12 elsewhere); scales/figaro_industry.csv carries both
+    and is the crosswalk.
+  provenance:
+  - dataset: naio_10_fcp_u1
+    url: https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/naio_10_fcp_u1/?format=SDMX-CSV&compressed=true
+    raw_sha256: 94d11ce9938bd747589fb5146b2a1b1c12f9c54117db55553d046a2e97679012
+    raw_bytes: 183195755
+    fetched_at: '2026-09-17T19:56:11Z'
+    upstream_last_modified: ''
+    source_columns:
+    - DATAFLOW
+    - LAST UPDATE
+    - freq
+    - ind_use
+    - prd_ava
+    - c_dest
+    - unit
+    - c_orig
+    - TIME_PERIOD
+    - OBS_VALUE
+    - OBS_FLAG
+    - CONF_STATUS
+  - dataset: naio_10_fcp_u2
+    url: https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/naio_10_fcp_u2/?format=SDMX-CSV&compressed=true
+    raw_sha256: aa8b42b01f7ead57203aaa2e1d54e464aeeba883cbda5bf8fea2afc23b0fdb13
+    raw_bytes: 184888350
+    fetched_at: '2026-09-17T19:58:17Z'
+    upstream_last_modified: ''
+    source_columns:
+    - DATAFLOW
+    - LAST UPDATE
+    - freq
+    - ind_use
+    - prd_ava
+    - c_dest
+    - unit
+    - c_orig
+    - TIME_PERIOD
+    - OBS_VALUE
+    - OBS_FLAG
+    - CONF_STATUS
+  - dataset: naio_10_fcp_u3
+    url: https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/naio_10_fcp_u3/?format=SDMX-CSV&compressed=true
+    raw_sha256: 5b95f3575fc35e68672d73fe91e1a7a6280de6dfa48633ac33ceb2efa2bab3e9
+    raw_bytes: 186738758
+    fetched_at: '2026-09-17T20:00:23Z'
+    upstream_last_modified: ''
+    source_columns:
+    - DATAFLOW
+    - LAST UPDATE
+    - freq
+    - ind_use
+    - prd_ava
+    - c_dest
+    - unit
+    - c_orig
+    - TIME_PERIOD
+    - OBS_VALUE
+    - OBS_FLAG
+    - CONF_STATUS
+  - dataset: naio_10_fcp_u4
+    url: https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data/naio_10_fcp_u4/?format=SDMX-CSV&compressed=true
+    raw_sha256: d370870e32e83252c2cf3a5de9cc61731506235f937189c2f2a8f617a65537e0
+    raw_bytes: 143723202
+    fetched_at: '2026-09-17T20:01:59Z'
+    upstream_last_modified: ''
+    source_columns:
+    - DATAFLOW
+    - LAST UPDATE
+    - freq
+    - ind_use
+    - prd_ava
+    - c_dest
+    - unit
+    - c_orig
+    - TIME_PERIOD
+    - OBS_VALUE
+    - OBS_FLAG
+    - CONF_STATUS
+  schema:
+    columns:
+    - c_dest
+    - c_orig
+    - industry
+    - product
+    - unit
+    - year
+    - value
+    key:
+    - industry
+    - product
+    - c_orig
+    - c_dest
+    - year
+    value_column: value
+    unit_column: unit
+  units: []
+  additive_over:
+  - c_orig
+  - c_dest
+  not_additive_over:
+  - industry
+  - product
+  coverage:
+    start: 2010
+    end: 2024
+    n_years: 15
+    rows: 165910500
+  scales:
+    industry: scales/figaro_industry.json
+    product: scales/figaro_product.json
+    geo: scales/figaro_geo.json
+    calendar: annual
+  storage:
+    format: parquet
+    layout: hive
+    partition_by:
+    - year
+    partition_types:
+      year: int32
+    parts: 15
+    compression: zstd
+    bytes: 142753787
+    energyrt_readable: no
+    part_sha256: ~

datasets/figaro_use/layout

@@ -0,0 +1 @@
+3

scales/figaro_geo.csv

@@ -0,0 +1,52 @@
+"world","geo","iso2","iso3","label","is_aggregate"
+"WORLD","AL","AL",,"Albania",FALSE
+"WORLD","AR","AR",,"Argentina",FALSE
+"WORLD","AT","AT",,"Austria",FALSE
+"WORLD","AU","AU",,"Australia",FALSE
+"WORLD","BE","BE",,"Belgium",FALSE
+"WORLD","BG","BG",,"Bulgaria",FALSE
+"WORLD","BR","BR",,"Brazil",FALSE
+"WORLD","CA","CA",,"Canada",FALSE
+"WORLD","CH","CH",,"Switzerland",FALSE
+"WORLD","CN","CN",,"China",FALSE
+"WORLD","CY","CY",,"Cyprus",FALSE
+"WORLD","CZ","CZ",,"Czechia",FALSE
+"WORLD","DE","DE",,"Germany",FALSE
+"WORLD","DK","DK",,"Denmark",FALSE
+"WORLD","DOM",,,"Domestic country",TRUE
+"WORLD","EE","EE",,"Estonia",FALSE
+"WORLD","EL","EL","GRC","Greece",FALSE
+"WORLD","ES","ES",,"Spain",FALSE
+"WORLD","FI","FI",,"Finland",FALSE
+"WORLD","FR","FR",,"France",FALSE
+"WORLD","HR","HR",,"Croatia",FALSE
+"WORLD","HU","HU",,"Hungary",FALSE
+"WORLD","ID","ID",,"Indonesia",FALSE
+"WORLD","IE","IE",,"Ireland",FALSE
+"WORLD","IN","IN",,"India",FALSE
+"WORLD","IT","IT",,"Italy",FALSE
+"WORLD","JP","JP",,"Japan",FALSE
+"WORLD","KR","KR",,"South Korea",FALSE
+"WORLD","LT","LT",,"Lithuania",FALSE
+"WORLD","LU","LU",,"Luxembourg",FALSE
+"WORLD","LV","LV",,"Latvia",FALSE
+"WORLD","ME","ME",,"Montenegro",FALSE
+"WORLD","MK","MK",,"North Macedonia",FALSE
+"WORLD","MT","MT",,"Malta",FALSE
+"WORLD","MX","MX",,"Mexico",FALSE
+"WORLD","NL","NL",,"Netherlands",FALSE
+"WORLD","NO","NO",,"Norway",FALSE
+"WORLD","PL","PL",,"Poland",FALSE
+"WORLD","PT","PT",,"Portugal",FALSE
+"WORLD","RO","RO",,"Romania",FALSE
+"WORLD","RS","RS",,"Serbia",FALSE
+"WORLD","RU","RU",,"Russia",FALSE
+"WORLD","SA","SA",,"Saudi Arabia",FALSE
+"WORLD","SE","SE",,"Sweden",FALSE
+"WORLD","SI","SI",,"Slovenia",FALSE
+"WORLD","SK","SK",,"Slovakia",FALSE
+"WORLD","TR","TR",,"Türkiye",FALSE
+"WORLD","UK","UK","GBR","United Kingdom",FALSE
+"WORLD","US","US",,"United States",FALSE
+"WORLD","WRL_REST",,,"Rest of the world",TRUE
+"WORLD","ZA","ZA",,"South Africa",FALSE

scales/figaro_geo.json

@@ -0,0 +1,20 @@
+{
+  "name": "figaro_geo",
+  "desc": "FIGARO reporting areas: Eurostat geo codes, 50 countries plus WRL_REST (rest of world) and, in the bilateral tables, DOM (domestic). NOT ISO3 -- EL is Greece and UK is the United Kingdom.",
+  "key": "geo",
+  "frames": ["world", "geo"],
+  "n_atoms": 51,
+  "members": {
+    "world": {
+      "WORLD": ["AL", "AR", "AT", "AU", "BE", "BG", "BR", "CA", "CH", "CN", "CY", "CZ", "DE", "DK", "DOM", "EE", "EL", "ES", "FI", "FR", "HR", "HU", "ID", "IE", "IN", "IT", "JP", "KR", "LT", "LU", "LV", "ME", "MK", "MT", "MX", "NL", "NO", "PL", "PT", "RO", "RS", "RU", "SA", "SE", "SI", "SK", "TR", "UK", "US", "WRL_REST", "ZA"]
+    }
+  },
+  "leaftable_file": "figaro_geo.csv",
+  "multiscales_version": "0.0.0.9000",
+  "generated_by": "r-worker/build_figaro.R",
+  "iso3_column": "iso3",
+  "no_geometry": [
+    "WRL_REST",
+    "DOM"
+  ]
+}

scales/figaro_industry.csv

@@ -0,0 +1,65 @@
+"a10","section","industry","nace_code","label"
+"A","A","A01","A01","Crop and animal production, hunting and related service activities"
+"A","A","A02","A02","Forestry and logging"
+"A","A","A03","A03","Fishing and aquaculture"
+"B-E","B","B","B","Mining and quarrying"
+"B-E","C","C10-12","C10-C12","Manufacture of food products; beverages and tobacco products"
+"B-E","C","C13-15","C13-C15","Manufacture of textiles, wearing apparel, leather and related products"
+"B-E","C","C16","C16","Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials"
+"B-E","C","C17","C17","Manufacture of paper and paper products"
+"B-E","C","C18","C18","Printing and reproduction of recorded media"
+"B-E","C","C19","C19","Manufacture of coke and refined petroleum products"
+"B-E","C","C20","C20","Manufacture of chemicals and chemical products"
+"B-E","C","C21","C21","Manufacture of basic pharmaceutical products and pharmaceutical preparations"
+"B-E","C","C22","C22","Manufacture of rubber and plastic products"
+"B-E","C","C23","C23","Manufacture of other non-metallic mineral products"
+"B-E","C","C24","C24","Manufacture of basic metals"
+"B-E","C","C25","C25","Manufacture of fabricated metal products, except machinery and equipment"
+"B-E","C","C26","C26","Manufacture of computer, electronic and optical products"
+"B-E","C","C27","C27","Manufacture of electrical equipment"
+"B-E","C","C28","C28","Manufacture of machinery and equipment n.e.c."
+"B-E","C","C29","C29","Manufacture of motor vehicles, trailers and semi-trailers"
+"B-E","C","C30","C30","Manufacture of other transport equipment"
+"B-E","C","C31_32","C31_C32","Manufacture of furniture; other manufacturing"
+"B-E","C","C33","C33","Repair and installation of machinery and equipment"
+"B-E","D","D35","D35","Electricity, gas, steam and air conditioning supply"
+"B-E","E","E36","E36","Water collection, treatment and supply"
+"B-E","E","E37-39","E37-E39","Sewerage, waste management, remediation activities"
+"F","F","F","F","Construction"
+"G-I","G","G45","G45","Wholesale and retail trade and repair of motor vehicles and motorcycles"
+"G-I","G","G46","G46","Wholesale trade, except of motor vehicles and motorcycles"
+"G-I","G","G47","G47","Retail trade, except of motor vehicles and motorcycles"
+"G-I","H","H49","H49","Land transport and transport via pipelines"
+"G-I","H","H50","H50","Water transport"
+"G-I","H","H51","H51","Air transport"
+"G-I","H","H52","H52","Warehousing and support activities for transportation"
+"G-I","H","H53","H53","Postal and courier activities"
+"G-I","I","I","I","Accommodation and food service activities"
+"J","J","J58","J58","Publishing activities"
+"J","J","J59_60","J59_J60","Motion picture, video, television programme production; programming and broadcasting activities"
+"J","J","J61","J61","Telecommunications"
+"J","J","J62_63","J62_J63","Computer programming, consultancy, and information service activities"
+"K","K","K64","K64","Financial service activities, except insurance and pension funding"
+"K","K","K65","K65","Insurance, reinsurance and pension funding, except compulsory social security"
+"K","K","K66","K66","Activities auxiliary to financial services and insurance activities"
+"L","L","L","L","Real estate activities"
+"M-N","M","M69_70","M69_M70","Legal and accounting activities; activities of head offices; management consultancy activities"
+"M-N","M","M71","M71","Architectural and engineering activities; technical testing and analysis"
+"M-N","M","M72","M72","Scientific research and development"
+"M-N","M","M73","M73","Advertising and market research"
+"M-N","M","M74_75","M74_M75","Other professional, scientific and technical activities; veterinary activities"
+"M-N","N","N77","N77","Rental and leasing activities"
+"M-N","N","N78","N78","Employment activities"
+"M-N","N","N79","N79","Travel agency, tour operator and other reservation service and related activities"
+"M-N","N","N80-82","N80-N82","Security and investigation, service and landscape, office administrative and support activities"
+"O-Q","O","O84","O84","Public administration and defence; compulsory social security"
+"O-Q","P","P85","P85","Education"
+"O-Q","Q","Q86","Q86","Human health activities"
+"O-Q","Q","Q87_88","Q87_Q88","Residential care activities and social work activities without accommodation"
+"R-U","R","R90-92","R90-R92","Creative, arts and entertainment activities; libraries, archives, museums and other cultural activities; gambling and betting activities"
+"R-U","R","R93","R93","Sports activities and amusement and recreation activities"
+"R-U","S","S94","S94","Activities of membership organisations"
+"R-U","S","S95","S95","Repair of computers and personal and household goods"
+"R-U","S","S96","S96","Other personal service activities"
+"R-U","T","T","T","Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use"
+"R-U","U","U","U","Activities of extraterritorial organisations and bodies"

scales/figaro_industry.json

@@ -0,0 +1,59 @@
+{
+  "name": "figaro_industry",
+  "desc": "FIGARO industries on the A*64 breakdown (NACE Rev. 2), with the section and A*10 levels. `nace_code` is the same industry in the supply table's spelling.",
+  "key": "industry",
+  "frames": ["a10", "section", "industry"],
+  "n_atoms": 64,
+  "members": {
+    "a10": {
+      "A": ["A01", "A02", "A03"],
+      "B-E": ["B", "C10-12", "C13-15", "C16", "C17", "C18", "C19", "C20", "C21", "C22", "C23", "C24", "C25", "C26", "C27", "C28", "C29", "C30", "C31_32", "C33", "D35", "E36", "E37-39"],
+      "F": "F",
+      "G-I": ["G45", "G46", "G47", "H49", "H50", "H51", "H52", "H53", "I"],
+      "J": ["J58", "J59_60", "J61", "J62_63"],
+      "K": ["K64", "K65", "K66"],
+      "L": "L",
+      "M-N": ["M69_70", "M71", "M72", "M73", "M74_75", "N77", "N78", "N79", "N80-82"],
+      "O-Q": ["O84", "P85", "Q86", "Q87_88"],
+      "R-U": ["R90-92", "R93", "S94", "S95", "S96", "T", "U"]
+    },
+    "section": {
+      "A": ["A01", "A02", "A03"],
+      "B": "B",
+      "C": ["C10-12", "C13-15", "C16", "C17", "C18", "C19", "C20", "C21", "C22", "C23", "C24", "C25", "C26", "C27", "C28", "C29", "C30", "C31_32", "C33"],
+      "D": "D35",
+      "E": ["E36", "E37-39"],
+      "F": "F",
+      "G": ["G45", "G46", "G47"],
+      "H": ["H49", "H50", "H51", "H52", "H53"],
+      "I": "I",
+      "J": ["J58", "J59_60", "J61", "J62_63"],
+      "K": ["K64", "K65", "K66"],
+      "L": "L",
+      "M": ["M69_70", "M71", "M72", "M73", "M74_75"],
+      "N": ["N77", "N78", "N79", "N80-82"],
+      "O": "O84",
+      "P": "P85",
+      "Q": ["Q86", "Q87_88"],
+      "R": ["R90-92", "R93"],
+      "S": ["S94", "S95", "S96"],
+      "T": "T",
+      "U": "U"
+    }
+  },
+  "leaftable_file": "figaro_industry.csv",
+  "multiscales_version": "0.0.0.9000",
+  "generated_by": "r-worker/build_figaro.R",
+  "spellings": {
+    "atom": "industry",
+    "supply_table": "nace_code"
+  },
+  "final_use_codes": [
+    "P3_S13",
+    "P3_S14",
+    "P3_S15",
+    "P51G",
+    "P5M"
+  ],
+  "note": "FIGARO spells the same industry two ways: C10-C12 in the supply table's nace_r2, C10-12 in ind_use/ind_ava. Both columns are here; joining the supply table uses nace_code. The use and IO tables additionally carry the final-demand codes listed in final_use_codes on this axis."
+}

scales/figaro_product.csv

@@ -0,0 +1,65 @@
+"a10","section","product","label"
+"CPA_A","CPA_A","CPA_A01","CPA_A01"
+"CPA_A","CPA_A","CPA_A02","CPA_A02"
+"CPA_A","CPA_A","CPA_A03","CPA_A03"
+"CPA_B-E","CPA_B","CPA_B","CPA_B"
+"CPA_B-E","CPA_C","CPA_C10-12","CPA_C10-12"
+"CPA_B-E","CPA_C","CPA_C13-15","CPA_C13-15"
+"CPA_B-E","CPA_C","CPA_C16","CPA_C16"
+"CPA_B-E","CPA_C","CPA_C17","CPA_C17"
+"CPA_B-E","CPA_C","CPA_C18","CPA_C18"
+"CPA_B-E","CPA_C","CPA_C19","CPA_C19"
+"CPA_B-E","CPA_C","CPA_C20","CPA_C20"
+"CPA_B-E","CPA_C","CPA_C21","CPA_C21"
+"CPA_B-E","CPA_C","CPA_C22","CPA_C22"
+"CPA_B-E","CPA_C","CPA_C23","CPA_C23"
+"CPA_B-E","CPA_C","CPA_C24","CPA_C24"
+"CPA_B-E","CPA_C","CPA_C25","CPA_C25"
+"CPA_B-E","CPA_C","CPA_C26","CPA_C26"
+"CPA_B-E","CPA_C","CPA_C27","CPA_C27"
+"CPA_B-E","CPA_C","CPA_C28","CPA_C28"
+"CPA_B-E","CPA_C","CPA_C29","CPA_C29"
+"CPA_B-E","CPA_C","CPA_C30","CPA_C30"
+"CPA_B-E","CPA_C","CPA_C31_32","CPA_C31_32"
+"CPA_B-E","CPA_C","CPA_C33","CPA_C33"
+"CPA_B-E","CPA_D","CPA_D35","CPA_D35"
+"CPA_B-E","CPA_E","CPA_E36","CPA_E36"
+"CPA_B-E","CPA_E","CPA_E37-39","CPA_E37-39"
+"CPA_F","CPA_F","CPA_F","CPA_F"
+"CPA_G-I","CPA_G","CPA_G45","CPA_G45"
+"CPA_G-I","CPA_G","CPA_G46","CPA_G46"
+"CPA_G-I","CPA_G","CPA_G47","CPA_G47"
+"CPA_G-I","CPA_H","CPA_H49","CPA_H49"
+"CPA_G-I","CPA_H","CPA_H50","CPA_H50"
+"CPA_G-I","CPA_H","CPA_H51","CPA_H51"
+"CPA_G-I","CPA_H","CPA_H52","CPA_H52"
+"CPA_G-I","CPA_H","CPA_H53","CPA_H53"
+"CPA_G-I","CPA_I","CPA_I","CPA_I"
+"CPA_J","CPA_J","CPA_J58","CPA_J58"
+"CPA_J","CPA_J","CPA_J59_60","CPA_J59_60"
+"CPA_J","CPA_J","CPA_J61","CPA_J61"
+"CPA_J","CPA_J","CPA_J62_63","CPA_J62_63"
+"CPA_K","CPA_K","CPA_K64","CPA_K64"
+"CPA_K","CPA_K","CPA_K65","CPA_K65"
+"CPA_K","CPA_K","CPA_K66","CPA_K66"
+"CPA_L","CPA_L","CPA_L","CPA_L"
+"CPA_M-N","CPA_M","CPA_M69_70","CPA_M69_70"
+"CPA_M-N","CPA_M","CPA_M71","CPA_M71"
+"CPA_M-N","CPA_M","CPA_M72","CPA_M72"
+"CPA_M-N","CPA_M","CPA_M73","CPA_M73"
+"CPA_M-N","CPA_M","CPA_M74_75","CPA_M74_75"
+"CPA_M-N","CPA_N","CPA_N77","CPA_N77"
+"CPA_M-N","CPA_N","CPA_N78","CPA_N78"
+"CPA_M-N","CPA_N","CPA_N79","CPA_N79"
+"CPA_M-N","CPA_N","CPA_N80-82","CPA_N80-82"
+"CPA_O-Q","CPA_O","CPA_O84","CPA_O84"
+"CPA_O-Q","CPA_P","CPA_P85","CPA_P85"
+"CPA_O-Q","CPA_Q","CPA_Q86","CPA_Q86"
+"CPA_O-Q","CPA_Q","CPA_Q87_88","CPA_Q87_88"
+"CPA_R-U","CPA_R","CPA_R90-92","CPA_R90-92"
+"CPA_R-U","CPA_R","CPA_R93","CPA_R93"
+"CPA_R-U","CPA_S","CPA_S94","CPA_S94"
+"CPA_R-U","CPA_S","CPA_S95","CPA_S95"
+"CPA_R-U","CPA_S","CPA_S96","CPA_S96"
+"CPA_R-U","CPA_T","CPA_T","CPA_T"
+"CPA_R-U","CPA_U","CPA_U","CPA_U"

scales/figaro_product.json

@@ -0,0 +1,56 @@
+{
+  "name": "figaro_product",
+  "desc": "FIGARO products on the A*64 breakdown (CPA 2.1)",
+  "key": "product",
+  "frames": ["a10", "section", "product"],
+  "n_atoms": 64,
+  "members": {
+    "a10": {
+      "CPA_A": ["CPA_A01", "CPA_A02", "CPA_A03"],
+      "CPA_B-E": ["CPA_B", "CPA_C10-12", "CPA_C13-15", "CPA_C16", "CPA_C17", "CPA_C18", "CPA_C19", "CPA_C20", "CPA_C21", "CPA_C22", "CPA_C23", "CPA_C24", "CPA_C25", "CPA_C26", "CPA_C27", "CPA_C28", "CPA_C29", "CPA_C30", "CPA_C31_32", "CPA_C33", "CPA_D35", "CPA_E36", "CPA_E37-39"],
+      "CPA_F": "CPA_F",
+      "CPA_G-I": ["CPA_G45", "CPA_G46", "CPA_G47", "CPA_H49", "CPA_H50", "CPA_H51", "CPA_H52", "CPA_H53", "CPA_I"],
+      "CPA_J": ["CPA_J58", "CPA_J59_60", "CPA_J61", "CPA_J62_63"],
+      "CPA_K": ["CPA_K64", "CPA_K65", "CPA_K66"],
+      "CPA_L": "CPA_L",
+      "CPA_M-N": ["CPA_M69_70", "CPA_M71", "CPA_M72", "CPA_M73", "CPA_M74_75", "CPA_N77", "CPA_N78", "CPA_N79", "CPA_N80-82"],
+      "CPA_O-Q": ["CPA_O84", "CPA_P85", "CPA_Q86", "CPA_Q87_88"],
+      "CPA_R-U": ["CPA_R90-92", "CPA_R93", "CPA_S94", "CPA_S95", "CPA_S96", "CPA_T", "CPA_U"]
+    },
+    "section": {
+      "CPA_A": ["CPA_A01", "CPA_A02", "CPA_A03"],
+      "CPA_B": "CPA_B",
+      "CPA_C": ["CPA_C10-12", "CPA_C13-15", "CPA_C16", "CPA_C17", "CPA_C18", "CPA_C19", "CPA_C20", "CPA_C21", "CPA_C22", "CPA_C23", "CPA_C24", "CPA_C25", "CPA_C26", "CPA_C27", "CPA_C28", "CPA_C29", "CPA_C30", "CPA_C31_32", "CPA_C33"],
+      "CPA_D": "CPA_D35",
+      "CPA_E": ["CPA_E36", "CPA_E37-39"],
+      "CPA_F": "CPA_F",
+      "CPA_G": ["CPA_G45", "CPA_G46", "CPA_G47"],
+      "CPA_H": ["CPA_H49", "CPA_H50", "CPA_H51", "CPA_H52", "CPA_H53"],
+      "CPA_I": "CPA_I",
+      "CPA_J": ["CPA_J58", "CPA_J59_60", "CPA_J61", "CPA_J62_63"],
+      "CPA_K": ["CPA_K64", "CPA_K65", "CPA_K66"],
+      "CPA_L": "CPA_L",
+      "CPA_M": ["CPA_M69_70", "CPA_M71", "CPA_M72", "CPA_M73", "CPA_M74_75"],
+      "CPA_N": ["CPA_N77", "CPA_N78", "CPA_N79", "CPA_N80-82"],
+      "CPA_O": "CPA_O84",
+      "CPA_P": "CPA_P85",
+      "CPA_Q": ["CPA_Q86", "CPA_Q87_88"],
+      "CPA_R": ["CPA_R90-92", "CPA_R93"],
+      "CPA_S": ["CPA_S94", "CPA_S95", "CPA_S96"],
+      "CPA_T": "CPA_T",
+      "CPA_U": "CPA_U"
+    }
+  },
+  "leaftable_file": "figaro_product.csv",
+  "multiscales_version": "0.0.0.9000",
+  "generated_by": "r-worker/build_figaro.R",
+  "primary_input_codes": [
+    "B2A3G",
+    "D1",
+    "D21X31",
+    "D29X39",
+    "OP_RES",
+    "OP_NRES"
+  ],
+  "note": "The use and IO tables carry the value-added codes listed in primary_input_codes on this axis; they are not products."
+}

source.yml

@@ -0,0 +1,79 @@
+schema_version: 1
+id: figaro
+name: FIGARO
+publisher: Eurostat
+description: EU inter-country supply, use and input-output tables (FIGARO), and the
+  environmental footprints derived from them. 64 NACE industries x 64 CPA products
+  x 50 reporting areas, bilateral in the use and IO tables.
+homepage: https://ec.europa.eu/eurostat/web/esa-supply-use-input-tables
+tags:
+- input-output
+- supply-use
+- national-accounts
+- footprints
+- europe
+- global
+license: CC-BY-4.0
+license_url: https://creativecommons.org/licenses/by/4.0/
+license_file: LICENSE-CC-BY-4.0.txt
+legal_basis: Commission Decision 2011/833/EU
+citation: Eurostat, EU inter-country supply, use and input-output tables (FIGARO),
+  2026 edition.
+attribution: 'Data: Eurostat (FIGARO) - CC-BY-4.0'
+attribution_required: yes
+third_party_material: yes
+redistribution: permitted-with-attribution
+visibility: public
+notice_file: NOTICE.md
+disclaimer_file: DISCLAIMER.md
+disclaimer:
+  redistributor: OptimalSolution LLC
+  role: redistribution-only
+  responsibility: none
+  endorsement: none
+  affiliation: none
+  warranty: none
+  governing_terms: The original publisher's licence and terms govern.
+modifications: restructured
+edition: '2026'
+edition_released: '2026-07-20'
+edition_note: 'Eurostat publishes no vintage string in the dataset metadata. This
+  edition is read off the release: every structure timestamp is 2026-07-20 and coverage
+  runs to 2024, where the 2024 edition stopped at 2022. Row counts differ between
+  editions, so an unlabelled FIGARO is ambiguous.'
+scales:
+  industry: scales/figaro_industry.json
+  product: scales/figaro_product.json
+  geo: scales/figaro_geo.json
+  calendars: ../../scales/calendars.json
+retrieval:
+  method: sdmx_csv
+  base_url: https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/data
+  note: Eurostat's dissemination API needs no key and has no rate limit, which is
+    why it is the build path. The same files are on CIRCABC, but only behind a JavaScript
+    UI with no API.
+  fetch_tool: scripts/fetch_eurostat.py
+  build_tool: r-worker/build_figaro.R
+  fetched_at: '2026-09-17T22:54:07Z'
+notes:
+- 'FIGARO spells the SAME industry two ways in two tables of the same family: C10-C12
+  in the supply table''s nace_r2, C10-12 in ind_use/ind_ava. Joining supply to use
+  on industry silently matches nothing for 11 of 64 industries. scales/figaro_industry.csv
+  carries both spellings and is the crosswalk.'
+- The axes are not purely industries and products. ind_use also carries final demand
+  (P3_S13/S14/S15, P51G, P5M) and prd_ava also carries value added (B2A3G, D1, D21X31,
+  D29X39, OP_RES, OP_NRES). Summing an axis without separating these adds final demand
+  to industry output.
+- 'Reporting areas are Eurostat geo codes: EL is Greece, UK is the United Kingdom
+  and WRL_REST is the rest of the world. scales/figaro_geo.csv maps them to ISO3 where
+  one exists.'
+- 'DOM (''Domestic country'') in c_orig is NOT a partner country and does NOT duplicate
+  the self-pair. Verified on the 2020 use table: it appears on exactly the six value-added
+  rows (B2A3G, D1, D21X31, D29X39, OP_RES, OP_NRES) and on nothing else, with zero
+  overlap against the 64 products -- value added has no foreign origin. So c_orig
+  is additive; it is the PRODUCT axis that is not, because summing all 70 codes adds
+  value added to intermediate inputs.'
+- Datasets above 10M rows are written hive-partitioned by year. energyRt's en_open_dataset()
+  CANNOT read a hive layout -- it lists non-recursively, so year=2010/ has no extension
+  to sniff -- so getDataset() works only for the single-part datasets. Each dataset.yml
+  records this as storage.energyrt_readable.