Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Types of Records I: Unit and Nurses Records01:27

Types of Records I: Unit and Nurses Records

1.6K
 Unit records in healthcare settings document the patient's treatment history, including interventions, medications, diagnostic and laboratory results, progress notes, personal care needs, vital signs, and other medical information. They are crucial for managing patient care, aiding healthcare professionals in providing quality treatment and informed decision-making.
Unit records can be divided into two main types: administrative records and clinical records.
Administrative records in...
1.6K
Types of Records II: Educational and Administrative Records01:18

Types of Records II: Educational and Administrative Records

979
Maintaining nurses' educational and administrative records in healthcare settings, including hospitals and nursing schools, is paramount. Here's a breakdown of the types of academic records mentioned:
979
Multimachine Stability01:25

Multimachine Stability

532
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
532
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

467
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
467
Bus Impedance Matrix01:24

Bus Impedance Matrix

487
Calculating subtransient fault currents for three-phase faults in an N-bus power system involves using the positive-sequence network. When a three-phase short circuit occurs at a specific bus, the analysis uses the superposition method to evaluate two separate circuits.
In the first circuit, all machine voltage sources are short-circuited, leaving only the prefault voltage source at the fault location. The positive-sequence bus impedance matrix can be determined by solving the nodal equations,...
487
Manipulation and Analysis01:21

Manipulation and Analysis

274
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
274

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Ellagic acid from the traditional Chinese medicinal herb Scutellaria barbata may accelerates apoptosis in hepatic stellate cells during liver fibrosis via inhibiting miR-182-5p.

Molecular and cellular biochemistry·2026
Same author

LoRASculpt: Harmonious Low-Rank Adaptation for Multimodal Large Language Models.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

Towards clinical-level interpretation of dental panoramic radiography using an instance-guided vision-language model.

Nature biomedical engineering·2026
Same author

Natural variation in the promoter of OsPDX1.2 enhances vitamin B6 accumulation and cold tolerance in rice.

Journal of integrative plant biology·2026
Same author

Systemic immune-inflammation index predicts post-thrombectomy outcomes and reveals a mediating role in the association between neurocardiac stress and prognosis: a multicenter study.

Frontiers in neurology·2026
Same author

Holistic Invariant Retracing for Distortion-Resilient Multi-Modal Learning in Spatial Transcriptomics.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Dataset of Optimized Structures of Aliphatic Chains Chemisorbed on Si(110) and Si(111) Surfaces via First-Principles Methods.

Scientific data·2026
Same journal

EURO-PROBE - Manual segmentations of the prostate and intraprostatic urethra on T2-weighted MRI.

Scientific data·2026
Same journal

Chromosome-Level Genome Assembly of Southern Africa Mozambique Tilapia (Oreochromis mossambicus) using PacBio HiFi and Omni-C sequencing.

Scientific data·2026
Same journal

Ovarian Stainology: Database of evidence-based immunohistochemical antigen expression in ovarian tumors.

Scientific data·2026
Same journal

A dataset of small protein conformational ensembles from all-atom molecular dynamics simulations.

Scientific data·2026
Same journal

A real-world Fitbit-derived dataset of activity, sleep, and heart rate with matched clinical factors in on-treatment lung cancer patients.

Scientific data·2026
See all related articles

Related Experiment Video

Updated: Jan 8, 2026

A User-friendly and Powerful R Analysis of Large-scale Datasets
10:56

A User-friendly and Powerful R Analysis of Large-scale Datasets

Published on: November 4, 2025

309

A Railway Network Dataset Incorporating Multi-Type Train Operation Records and Train Scheduling.

Jianqing Wu1, Xukai Xiao1, Yitao Zhou1

  • 1School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, Jiangxi Province, 341000, China.

Scientific Data
|December 13, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces the Italian Railway Network Dataset, a comprehensive resource for train operations and scheduling data. This structured dataset supports research in intelligent transportation systems and railway network analysis.

More Related Videos

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.8K
Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

4.2K

Related Experiment Videos

Last Updated: Jan 8, 2026

A User-friendly and Powerful R Analysis of Large-scale Datasets
10:56

A User-friendly and Powerful R Analysis of Large-scale Datasets

Published on: November 4, 2025

309
Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.8K
Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

4.2K

Area of Science:

  • Transportation Science
  • Data Science
  • Network Analysis

Background:

  • Existing railway datasets are often unstandardized or incomplete, hindering research.
  • Publicly available datasets integrating train operations and scheduling are scarce.
  • There is a need for structured data to study large-scale complex railway networks.

Purpose of the Study:

  • To introduce the Italian Railway Network Dataset.
  • To provide a comprehensive, structured dataset for railway research.
  • To support advancements in intelligent transportation systems and network analysis.

Main Methods:

  • Compilation of operational records for multiple train types.
  • Integration of station locations, inter-station mileage, and weather data.
  • Inclusion of detailed train scheduling information.

Main Results:

  • The Italian Railway Network Dataset is presented, offering structured operational and scheduling data.
  • The dataset includes train operations, station details, mileage, weather, and schedules.
  • Facilitates spatio-temporal pattern mining, network topology analysis, and delay propagation studies.

Conclusions:

  • The dataset enables advanced research in railway operations and intelligent transportation.
  • It supports the analysis of train delay propagation and distribution.
  • Provides a foundation for timetable optimization and system resilience assessment.