STUDY PARAMETER & RESPONSE DATASET

Creates a tabular dataset from simulation parameters and/or responses belonging to a d3VIEW study, where each row represents one simulation identified by sim_id. Supports flexible missing-data strategies, optional in_/out_ column prefixes, and scalar extraction from curve/vector responses via configurable lookup methods.

When to use

Tagged: curve_lookup, dataset, design_exploration, doe, dyna_keyword, missing_data, parameter_extraction, parameters.

Inputs

Label ID Type Default Required Description
Study study_id remote_lookup Numeric or string ID of the d3VIEW study whose simulations will be queried; required — the worker errors immediately if omitted.
Response Template response_template_id remote_lookup ID of the response template used to extract response KPIs; required when Include Data is ‘Responses’ or ‘Both’, ignored when ‘Parameters’ only.
Include Data include_data select Both   Selects which data columns to include in the output: ‘Parameters’ (input deck values only), ‘Responses’ (template KPIs only), or ‘Both’ (default); leave default to get the full parameter–response matrix.
Prefix Column Names prefix_column_names select no   When set to ‘yes’, parameter columns are prefixed with ‘in_’ and response columns with ‘out_’, making input/output separation explicit for downstream ML workers; default is ‘no’ (no prefix).
Curve Lookup Type curve_lookup_type select ymax   Scalar extraction method applied to curve/vector responses (e.g., ‘ymax’, ‘ymin’, ‘integral’, ‘slope’); default is ‘ymax’ (peak Y value) — change when a different feature of the time-history is the relevant KPI.
Missing Data Strategy missing_data_strategy select Intelligent   Strategy for handling simulations with missing parameter or response values: ‘Intelligent’ (auto-decide per column), ‘Exclude Row’ (drop any sim with a missing value), or ‘Exclude Column’ (drop any column with missing values); default is ‘Intelligent’.

Outputs

Label ID Type Description
Dataset dataset dataset Tabular dataset where each row is one simulation; columns are sim_id followed by parameter columns (optionally prefixed ‘in_’) and/or response columns (optionally prefixed ‘out_’), with missing values handled per the chosen strategy.
Status status text JSON object containing a success flag, a human-readable message, extraction counts, and a list of any rows/columns excluded or duplicate parameters skipped due to multi-file conflicts.

Disciplines

  • cae.postprocessing.extraction
  • cae.postprocessing.response
  • data.dataset.ingest
  • data.dataset.transform
  • design_exploration.doe

Auto-generated from platform schema. Worker id: study_get_parameter_response_dataset. Schema hash: 2f2d030c1377. Hand-curated docs in workerexamples/ override this page when present.