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mars-monoculture-data

Tags:
mars
mola
rems
meda
insight
seis
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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
ping: int64
date: timestamp[s]
note: string
to
{'note': Value('string'), 'date': Value('timestamp[s]')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              ping: int64
              date: timestamp[s]
              note: string
              to
              {'note': Value('string'), 'date': Value('timestamp[s]')}
              because column names don't match

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Mars Monoculture Data — SO Cultural de Monocultura Autônoma Marciana

Dataset privado de pesquisa para o projeto Mars Monoculture Sovereign OS (OmniMind).

Conteúdo (2026-09-27, ~30GB)

Dataset Fonte Conteúdo
mola/ NASA PDS Geosciences (MGS MOLA MEGDR) Topografia global: meg016 (16ppd, 4 hemisférios) + meg128 (128ppd, 48 tiles)
rems/ NASA PDS Atmospheres (MSL REMS) Dados meteorológicos do Curiosity por sol (TABs: ADR/RMD/RNV/RTL) — download em progresso
meda/ NASA PDS Atmospheres (Mars2020 MEDA) Tarballs processados+derivados do Perseverance (~24GB)
seis/ ETHZ/IPGP Marsquake Service v14 Catálogo sismológico QuakeML (36MB)
mars_monoculture_index.sqlite gerado Índice de arquivos
manifest.json / download_manifest.json gerado Manifestos de download

Uso

  • Simulação da monocultura (Spirulina → batata → trigo) com dados reais de Marte
  • Histerese operacional, metaestabilidade, Dodecatíade agrícola (12 setores)
  • Sem dataset local: o Colab baixa, normaliza, simula e devolve contratos

Fontes

Proveniência

Cada arquivo mantém a estrutura original do PDS. Os manifestos registram dataset/file/ok.

Simulação de kernel (2026-09-27)

  • Triad pública compilada no Colab: kernel_compute (Ma'at), freud10d (INRC), sovereign_kuramoto (Kuramoto + Hopf)
  • parquet/: dados vetorizados em parquet zstd (REMS 1521 sols com D12/D13/D15; MOLA tiles; SEIS eventos)
  • simulations/: kernel emulado × máquina marciana — 300 sols com Φ/Ψ/σ/ε, Ma'at, R_pair (kuramoto 12 casas), regime Hopf
  • Reconhecimento Dodecatíade: cada sol mapeado para casa D12 + setor D13 + setor D15

Resultados da simulação

Métrica min média max
Φ (integridade) 0.00 0.61 1.00
Ψ (produção) 0.00 0.48 1.00
σ (coesão) 0.00 0.42 1.00
ε (déficit) 0.15 0.15 0.15
Ma'at 0.14 0.73 0.99

Regimes Hopf: chaotic 280 · fixed_point 19 · limit_cycle 1 (metaestabilidade — regime crítico)
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