Reefer Container Temperature Anomaly Response Tool-Use Trajectory Dataset
#multi-tool orchestration #anomaly diagnosis #incident response workflow execution #reefer container monitoring #cold-chain temperature anomaly response #refrigerated cargo management
- 5000
- 0.3GB
- JSON
- CATL
MOBIUSI INC
Updated:2026-10-19
AI Analysis & Value Prop
00Focused on temperature anomalies in reefer shipping, these trajectories record tool calls for reading temperature telemetry and alerts, checking cargo temperature requirements, querying transport node status, coordinating on-site inspections, and documenting response actions. They show how multiple information sources support anomaly assessment, excursion-duration calculation, cargo compliance decisions, and final disposition, with an emphasis on failure scenarios and the agent's decision-making and coordination process. The data is suited to multi-tool agent training, tool-use evaluation, and research into cold-chain incident response workflows.
Dataset Insights
Sample Examples
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| tool_call_trace | object | Records tool names, call parameters, returned results, and call order throughout the response workflow. |
| response_actions | array | Lists, in execution order, the checks, notifications, inspections, and temperature-control actions coordinated or completed by the agent. |
| anomaly_assessment | string | Summarizes the temperature anomaly judgment and severity based on telemetry, alerts, and cargo requirements. |
| disposition_outcome | string | Records the final status of the response, recommended next steps, and whether further follow-up is required. |
| transport_node_status | object | Records transport nodes, container location, transport status, and information provided by the carrier. |
| cargo_compliance_result | string | States whether observed temperatures comply with cargo requirements and notes potential effects on the cargo. |
| inspection_and_event_records | object | Records on-site inspection requests, findings, response events, and related timestamps. |
| node_and_inspection_findings | string | Summarizes how transport status and on-site inspection findings inform anomaly localization and response. |
| cargo_temperature_requirements | object | Records the permitted temperature range, temperature-control instructions, and source of the requirements for the cargo. |
| temperature_telemetry_and_alerts | object | Records reefer container temperature readings, sampling times, equipment details, and related alerts. |
| temperature_excursion_duration_minutes | number | Records the calculated duration, based on telemetry and timestamps, for which the temperature was outside the cargo's permitted range. |
Compliance Statement
| Authorization Type | Proprietary - Commercial AI Training License (No Redistribution) |
| Commercial Use | Requires exclusive subscription or authorization contract (monthly or per-invocation charging) |
| Privacy and Anonymization | No PII, no real company names, simulated scenarios follow industry standards |
| Compliance System | Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs |
Frequently Asked Questions
- Which response steps are recorded?
- The trajectories cover reading temperature telemetry and alerts, checking cargo temperature requirements, querying transport node status, coordinating on-site inspections, and recording anomaly assessments, response actions, and final outcomes.
- What capabilities can this data help train?
- It is suited to training agents to combine telemetry, cargo instructions, transport information, and event-recording tools for evidence checks, anomaly assessment, coordinated action, and follow-up, rather than merely classifying alerts.
- Does the data include compliance and excursion-duration information?
- The schema includes anomaly assessments, temperature excursion duration, cargo temperature compliance conclusions, and transport node and inspection findings. These fields can support response reasoning and outcome judgment tasks; exact sample contents depend on the delivered data.
- How can I confirm the data format and licensing terms?
- The field schema describes the main record contents. Confirm the delivery format, sample volume, update schedule, and license scope on the product page or in the applicable agreement. Check the relevant terms before using the data for training, evaluation, or commercial deployment.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Reefer Container Temperature Anomaly Response Tool-Use Trajectory Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/276a281632c2283624134f6f05bce943?dataset_scene_id=13},
urldate={2026-10-10},
keywords={reefer container temperature anomaly, reefer shipping data, tool-use trajectories, multi-tool agent training, cold chain temperature control, temperature telemetry, cargo temperature requirements, anomaly response},
version={1.0}
}Using this in research? Please cite us.
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