| id | datasetId | status | durationMin |
|---|---|---|---|
| RUN-00198 | DS-0255 | queued | 136 |
| RUN-00293 | DS-0261 | completed | 142 |
| RUN-00397 | DS-0044 | completed | 158 |
| RUN-00531 | DS-0281 | completed | 205 |
| RUN-00538 | DS-0011 | completed | 232 |
| RUN-00640 | DS-0023 | completed | 193 |
| RUN-00823 | DS-0127 | failed | 243 |
| RUN-00911 | DS-0089 | running | 18 |
| RUN-01006 | DS-0289 | completed | 335 |
| RUN-01095 | DS-0146 | failed | 281 |
| RUN-01122 | DS-0102 | queued | 240 |
| RUN-01142 | DS-0148 | completed | 47 |
| RUN-01193 | DS-0101 | queued | 88 |
| RUN-01203 | DS-0161 | queued | 97 |
| RUN-01234 | DS-0219 | queued | 24 |
| RUN-01296 | DS-0288 | queued | 84 |
| RUN-01544 | DS-0035 | completed | 363 |
| RUN-01877 | DS-0294 | completed | 370 |
| RUN-01999 | DS-0226 | running | 109 |
Pipeline PL-0095
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Input/output schema, parameter presets, run timeline, and artifacts. Business and scientific purpose: scale computational research throughput while preserving reproducibility, observability, and cost control. Pipeline PL-0095 is connected to linked entities, metrics, and workflow actions in this workspace. Use these panels to review evidence, identify risks, and decide the next best scientific action. The view uses deterministic demo data shaped to mirror realistic drug discovery operations.