# README for `Emergency Life Saving through Multi-Modal Mobility (ELSa-M3)` Strengthening Mobility and Revolutionizing Transportation (SMART) Program, U.S. Department of Transportation (USDOT) `2026-07-29` ## Links to Dataset Dataset Archive Link: Data Management Plan DOI: ## Summary of Dataset `The Emergency Life Saving through Multi-Modal Mobility (ELSa-M3) project will demonstrate the requirements for the use of emergency drone delivery to underserved communities in the southwestern region of Pennsylvania. ELSa-M3 proposes, through the development of a cost-effective and affordable public network, an innovative use of uncrewed aircraft systems (UAS) to enhance emergency services logistics in the region through a public ground-based sensor network integrated with airspace management. ELSa-M3 will utilize advanced technology to improve emergency response time and improve resiliency by responding to emergency calls with drones delivering NARCAN (Opioid overdose), EpiPen (allergic shock), and AEDs (cardiac arrest). There are 6 subsequent datasets repreented within this collection, more information on each can be found in this project's data management plan` ## Tables of Contents ##### A. General Information ##### B. Sharing/Access & Policies Information ##### C. Data and Related Files Overview ##### D. Methodological Information ##### E. Data-Specific Information for: `ELSAm3_Final_Data_Package` ##### F. Update Log ## A. General Information **Title of Dataset:** `Emergency Life Saving through Multi-Modal Mobility (ELSa-M3) Final Data Package` **Description of the Dataset:** `The Emergency Life Saving through Multi-Modal Mobility (ELSa-M3) project will demonstrate the requirements for the use of emergency drone delivery to underserved communities in the southwestern region of Pennsylvania. ELSa-M3 proposes, through the development of a cost-effective and affordable public network, an innovative use of uncrewed aircraft systems (UAS) to enhance emergency services logistics in the region through a public ground-based sensor network integrated with airspace management. ELSa-M3 will utilize advanced technology to improve emergency response time and improve resiliency by responding to emergency calls with drones delivering NARCAN (Opioid overdose), EpiPen (allergic shock), and AEDs (cardiac arrest). There are 6 subsequent datasets repreented within this collection, more information on each can be found in this project's data management plan` **Dataset Archive Link:** **Authorship Information:** > *Principal Data Creator and Data Distributor Contact Information* > Name: `John Eberhardt` > Institution: `ATA Aviation` > Address: `469 Airport Road, Johnstown, PA 15904` > Email: `[jeberhardt@ataaviation.com](mailto:jeberhardt@ataaviation.com)` > *Organizational Contact Information* > Name: `Matthew Bauerlin` `[0009-0003-7079-4731](https://orcid.org/0009-0003-7079-4731)` > Institution: `Southern Alleghenies Planning & Development Commission` > Address: `3 Sheraton Dr. Altoona, PA 16601` > Email: `[mbauerlin@sapdc.net](mailto:mbauerlin@sapdc.net)` > Name: `Matthew Bjorkman` `[0009-0004-4583-2051](https://orcid.org/0009-0004-4583-2051)` > Institution: `Southern Alleghenies Planning & Development Commission` > Address: `3 Sheraton Dr. Altoona, PA 16601` > Email: `[mbjorkman@sapdc.net](mailto:mbjorkman@sapdc.net)` **Date of data collection and update interval:** `Data was collected during the project's period of performance, 2024-7-1 to 2026-1-31, collection times are noted in the datasets themselves` **Geographic location of data collection:** `All data sets were collected within Cambria county, PA, in the following census tracts in and around Johnstown: 42021000100, 42021000200, 42021000300, 42021000500, 42021000600, 42021000700, 42021010200, 42021011000, 42021011200, 42021013200, 42021013400` **Information about funding sources that supported the collection of the data:** `This dataset package was funded through the USDOT Strengthening Mobility and Revolutionizing Transportation (SMART) Program. The grant number for this project is: 69A3552441031` ## B. Sharing/Access and Policies Information **Recommended citation for the data:** > `Southern Alleghenies Planning & Development Commission; Eberhardt, John; Bauerlin, Matthew; Bjorkman, Matthew` (`2026`). `Emergency Life Saving through Multi-Modal Mobility (ELSa-M3)`. Strengthening Mobility and Revolutionizing Transportation (SMART) Program. <10.21949/ptr4-vp80> **Licenses/restrictions placed on the data:** This document is disseminated under the sponsorship of the U.S. Department of Transportation in the interest of information exchange. The United States Government assumes no liability for the contents thereof. To protect the privacy of subject participants and conform to the restrictions of the Institutional Review Board, raw and individual-level data will not be made available. **Was data derived from another source?:** `No` This document was created to meet the requirements enumerated in the U.S. Department of Transportation's `Plan to Increase Public Access to the Results of Federally-Funded Scientific Research Version 1.1`(https://doi.org/10.21949/1520559) and `guidelines suggested by the DOT Public Access website`(https://doi.org/10.21949/1503647), in effect and current as of December 03, 2020. ## C. Data and Related Files Overview File List for the `ELSAm3_final_data_package` > 1. Filename: `Overall_Stats.csv` > Short Description: `This CSV contains summary statistical analyses of performance metrics for specified days ofsystem testing` > 2. Filename: `Optimized_Drone_Dispatch.csv` > Short Description: `This CSV contains a record of unique, de-identified CAD dispatches withcalculated pro forma and optimized drone performance` > 3. Filename: `Input_Completed_Drone_Flight_ExportTable.csv` > Short Description: `This CSV contains a record for each complete delivery flightmade by ELSa-M3, associated performance statistics, and any notable occurrences. All PII collected in theoriginal dataset has been removed for publication.` > 4. Filename: `DroneUpTelem_JohnstownSummary.csv` > Short Description: `This CSV file contains a summary of each of the test flights recordedduring the project's period of performance` > 5. Filename: `DroneUpTelem_JohnstownTelemetry.csv` > Short Description: `This CSV file contains telemetry data from each of the test flightsrecorded during the project's period of performance` > 6. Filename: `OpticalMerge_jtwn6nm_811thru27.csv` > Short Description: `This CSV contains a list of unique detection points obtained fromoptical sensors during testing conducted between 8/11 - 8/27.` > 7-17. Filename: `Converted_ADSB_ConvertedADSB_All_ADSB_jtwn6nm_8XX.csv` > Short Description: `This series of 10 CSV files contain a listof ADS-B telemetry messages gathered from project sensors during flight testing. Each CSV contains telemetryfrom a single day in August, which is noted by the final two digits of the filename` > 18. Filename: `OpticalVADSB_1km10sMin3s_TrueDedupe.csv` > Short Description: `This CSV file contains identified, unique pairs of opticaldetection points and ADS-B telemetry information representing co-occurent points, used to assess range,sensitivity of detection, and to estimate false positives` > 19-24. Filename: `Corrected__3D_Sensor_to_Optical_Points_Prj_SensorXXX_SensorLinetoPt.csv` > Short Description: `This series of 5 CSV files represent a single telemetry message from the sensor array and its range to target. The specific sensor is noted bythe three digits in the filename` > 25. Filename: `ELSa-M3_Costing_model.pdf` > Short Description: `A cost model as described in section 15 of ELSa-M3's implementation report` > 26. Filename: `SystemDesignDocument.pdf` > Short Description: `Also included in the final implementation report as appendix B, this dataset describes infrastructure design and deployment utilized during project operations` > 27. Filename: `Data_Set_Documentation.pdf` > Short Description: `Also included in the final implementation report as Appendix D, this pdf describes our datasets in context with the rest of the analyses presented in the final report.` > 28. Filename: `elsam3datadictionary.csv` > Short Description: `This csv file is the data dictionary for this dataset` ## D. Methodological Information **Description of methods used for collection/generation of data:** `SAP&DC collected the data contained within this collection using three primary methodologies to document various performance measures: A Paired case control data method, consisting of live flight tests where the dispatch of a drone delivery of emergency medical articles is paired with the dispatch of an ambulance response (e.g., intervention benefit) obtained from the CAD system. A - Population data method, where paired drone-ambulance interventions are compared to a data set on baseline ambulance interventions in the same service area (e.g., intervention benefit, cost benefit) and data are normalized to estimate potential performance gains; and a Descriptive data method, where cost and performance of equipment and sensors are collected and analyzed using descriptive statistics for reporting and comparison to external reference data sources and metrics (e.g., cost and performance metrics, community benefit).` **Instrument or software-specific information needed to interpret the data:** `This data is primarily represented using the .csv, Comma Separated Value, file. .csv is a simple format that is designed for a database table and supported by many applications. The .csv file is often used for moving tabular data between two different computer programs, due to its open format. The most common software used to open .csv files are Microsoft Excel and RecordEditor. Other data is stored in .pdf format, which is designed to allow for a self-contained ` ## E. Data-Specific Information 1. ELSa-M3 Program Costs.csv - Number of Columns/Variables: 4 - Number of Rows: 11 - Each Row Represents: One program cost element, aggregated - Data Dictionary Reference: elsam3datadictionary.csv - Missing Data Codes: BLANK 2. Input_Completed_Drone_Flight_ExportTable.csv - Number of Columns/Variables: 13 - Number of Rows: 29 - Each Row Represents: A unique UAS flight conducted - Data Dictionary Reference: elsam3datadictionary.csv - Missing Data Codes: 3. Drone_DroneTelemetry_ExportTable_CompletedDelivery.csv - Number of Columns/Variables: 15 - Number of Rows: 28 - Each Row Represents: A unique UAS flight conducted - Data Dictionary Reference: elsam3datadictionary.csv - Missing Data Codes: BLANK 4. Optimized_Drone_Dispatch.csv - Number of Columns/Variables: 42 - Number of Rows: 81 - Each Row Represents: A unique de-identified CAD dispatch with calculated pro forma and optimized drone performance - Data Dictionary Reference: elsam3datadictionary.csv - Missing Data Codes: BLANK 5. Converted_ADSB_ConvertedADSB_All_ADSB_jtwn6nm_811.csv - Number of Columns/Variables: 11 - Number of Rows: 86,868 - Each Row Represents: A single telemetry message from the identified sensor array and type on August 11, 2025 - Data Dictionary Reference: elsam3datadictionary.csv; note that all files in this class are identical so there is only one data dictionary entry for all of these files - Missing Data Codes: BLANK 6. Converted_ADSB_ConvertedADSB_All_ADSB_jtwn6nm_812.csv - Number of Columns/Variables: 11 - Number of Rows: 96,769 - Each Row Represents: A single telemetry message from the identified sensor array and type on August 12, 2025 - Data Dictionary Reference: elsam3datadictionary.csv; note that all files in this class are identical so there is only one data dictionary entry for all of these files - Missing Data Codes: BLANK 7. Converted_ADSB_ConvertedADSB_All_ADSB_jtwn6nm_814.csv - Number of Columns/Variables: 11 - Number of Rows: 57,259 - Each Row Represents: A single telemetry message from the identified sensor array and type on August 14, 2025 - Data Dictionary Reference: elsam3datadictionary.csv; note that all files in this class are identical so there is only one data dictionary entry for all of these files - Missing Data Codes: BLANK 8. Converted_ADSB_ConvertedADSB_All_ADSB_jtwn6nm_815.csv - Number of Columns/Variables: 11 - Number of Rows: 72,430 - Each Row Represents: A single telemetry message from the identified sensor array and type on August 15, 2025 - Data Dictionary Reference: elsam3datadictionary.csv; note that all files in this class are identical so there is only one data dictionary entry for all of these files - Missing Data Codes: BLANK 9. Converted_ADSB_ConvertedADSB_All_ADSB_jtwn6nm_818.csv - Number of Columns/Variables: 11 - Number of Rows: 123,293 - Each Row Represents: A single telemetry message from the identified sensor array and type on August 18, 2025 - Data Dictionary Reference: elsam3datadictionary.csv; note that all files in this class are identical so there is only one data dictionary entry for all of these files - Missing Data Codes: BLANK 10. Converted_ADSB_ConvertedADSB_All_ADSB_jtwn6nm_821.csv - Number of Columns/Variables: 11 - Number of Rows: 95,363 - Each Row Represents: A single telemetry message from the identified sensor array and type on August 21, 2025 - Data Dictionary Reference: elsam3datadictionary.csv; note that all files in this class are identical so there is only one data dictionary entry for all of these files - Missing Data Codes: BLANK 11. Converted_ADSB_ConvertedADSB_All_ADSB_jtwn6nm_824.csv - Number of Columns/Variables: 11 - Number of Rows: 73,443 - Each Row Represents: A single telemetry message from the identified sensor array and type on August 24, 2025 - Data Dictionary Reference: elsam3datadictionary.csv; note that all files in this class are identical so there is only one data dictionary entry for all of these files - Missing Data Codes: BLANK 12. Converted_ADSB_ConvertedADSB_All_ADSB_jtwn6nm_825.csv - Number of Columns/Variables: 11 - Number of Rows: 85,916 - Each Row Represents: A single telemetry message from the identified sensor array and type on August 25, 2025 - Data Dictionary Reference: elsam3datadictionary.csv; note that all files in this class are identical so there is only one data dictionary entry for all of these files - Missing Data Codes: BLANK 13. Converted_ADSB_ConvertedADSB_All_ADSB_jtwn6nm_826.csv - Number of Columns/Variables: 11 - Number of Rows: 125,415 - Each Row Represents: A single telemetry message from the identified sensor array and type on August 26, 2025 - Data Dictionary Reference: elsam3datadictionary.csv; note that all files in this class are identical so there is only one data dictionary entry for all of these files - Missing Data Codes: BLANK 14. Converted_ADSB_ConvertedADSB_All_ADSB_jtwn6nm_827.csv - Number of Columns/Variables: 11 - Number of Rows: 138,331 - Each Row Represents: A single telemetry message from the identified sensor array and type on August 27, 2025 - Data Dictionary Reference: elsam3datadictionary.csv; note that all files in this class are identical so there is only one data dictionary entry for all of these files - Missing Data Codes: BLANK 15. DroneUpTelem_JohnstownSummary.csv - Number of Columns/Variables: 5 - Number of Rows: 100 - Each Row Represents: a unique UAS shakedown or test flight - Data Dictionary Reference: elsam3datadictionary.csv - Missing Data Codes: BLANK 16. DroneUpTelem_JohnstownTelemetry.csv - Number of Columns/Variables: 6 - Number of Rows: 29,671 - Each Row Represents: A specific telemetry point for a unique UAS shakedown or test flight - Data Dictionary Reference: elsam3datadictionary.csv - Missing Data Codes: BLANK 17. OpticalMerge_jtwn6nm_811thru27.csv - Number of Columns/Variables: 11 - Number of Rows: 193,586 - Each Row Represents: A unique optical aircraft detection point - Data Dictionary Reference: elsam3datadictionary.csv - Missing Data Codes: BLANK 18. OpticalVADSB_1km10sMin3s_TrueDedupe.csv - Number of Columns/Variables: 11 - Number of Rows: 12,525 - Each Row Represents: A unique ADS-B-Optical pair - Data Dictionary Reference: elsam3datadictionary.csv - Missing Data Codes: BLANK 19. Corrected__3D_Sensor_to_Optical_Points_Prj_Sensor108_SensorLinetoPt.csv - Number of Columns/Variables: 4 - Number of Rows: 5982 - Each Row Represents: A single telemetry message from the identified sensor array and range to target - Data Dictionary Reference: elsam3datadictionary.csv; note that all files in this class are identical so there is only one data dictionary entry for all of these files - Missing Data Codes: BLANK 20. Corrected__3D_Sensor_to_Optical_Points_Prj_Sensor109_SensorLinetoPt.csv - Number of Columns/Variables: 4 - Number of Rows: 13,651 - Each Row Represents: A single telemetry message from the identified sensor array and range to target - Data Dictionary Reference: elsam3datadictionary.csv; note that all files in this class are identical so there is only one data dictionary entry for all of these files - Missing Data Codes: BLANK 21. Corrected__3D_Sensor_to_Optical_Points_Prj_Sensor110_SensorLinetoPt.csv - Number of Columns/Variables: 4 - Number of Rows: 6,204 - Each Row Represents: A single telemetry message from the identified sensor array and range to target - Data Dictionary Reference: elsam3datadictionary.csv; note that all files in this class are identical so there is only one data dictionary entry for all of these files - Missing Data Codes: BLANK 22. Corrected__3D_Sensor_to_Optical_Points_Prj_Sensor111_SensorLinetoPt.csv - Number of Columns/Variables: 4 - Number of Rows: 9,684 - Each Row Represents: A single telemetry message from the identified sensor array and range to target - Data Dictionary Reference: elsam3datadictionary.csv; note that all files in this class are identical so there is only one data dictionary entry for all of these files - Missing Data Codes: BLANK 23. Corrected__3D_Sensor_to_Optical_Points_Prj_Sensor112_SensorLinetoPt.csv - Number of Columns/Variables: 4 - Number of Rows: 5,920 - Each Row Represents: A single telemetry message from the identified sensor array and range to target - Data Dictionary Reference: elsam3datadictionary.csv; note that all files in this class are identical so there is only one data dictionary entry for all of these files - Missing Data Codes: BLANK 24. Overall_Stats.csv - Number of Columns/Variables: 9 - Number of Rows: 45 - Each Row Represents: A summary statistical analysis of a given metric for the stated day - Data Dictionary Reference: elsam3datadictionary.csv - Missing Data Codes: BLANK 25. ELSa-M3_Costing_model.pdf 26. SystemDesignDocument.pdf 27. Data_Set_Documentation.pdf 28. elsam3datadictionary.csv ## F. Update Log This README.txt file was originally created on `2026-07-29` by `Matthew Bauerlin` (0009-0003-7079-4731), `Regional Planner`, (mbauerlin@sapdc.net)[mailto:mbauerlin@sapdc.net] `2026-07-29`: Original file created