100+ datasets found
  1. R

    Data from: Trace Data Dataset

    • universe.roboflow.com
    zip
    Updated Jan 1, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    KDU (2024). Trace Data Dataset [Dataset]. https://universe.roboflow.com/kdu-jadoc/trace-data
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jan 1, 2024
    Dataset authored and provided by
    KDU
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Numberplates NGkY Bounding Boxes
    Description

    Trace Data

    ## Overview
    
    Trace Data is a dataset for object detection tasks - it contains Numberplates NGkY annotations for 1,039 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  2. h

    spatial-trace-dataset

    • huggingface.co
    Updated Jul 27, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Dhruv (2025). spatial-trace-dataset [Dataset]. https://huggingface.co/datasets/dhruvmsheth/spatial-trace-dataset
    Explore at:
    Dataset updated
    Jul 27, 2025
    Authors
    Dhruv
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Dataset Summary

    SpatialTraceGen is a dataset of multi-hop spatial reasoning traces generated by Large Language Models (LLMs) integrated with computer vision tools. The framework is designed to produce step-by-step reasoning for complex spatial queries. This dataset contains the generated reasoning traces under different levels of automated verification. The dataset was created using the CLEVR dataset as a base. The traces were generated by providing questions from CLEVR to an LLM… See the full description on the dataset page: https://huggingface.co/datasets/dhruvmsheth/spatial-trace-dataset.

  3. Z

    Trace-Share Dataset for Evaluation of Trace Meaning Preservation

    • data.niaid.nih.gov
    • zenodo.org
    Updated May 7, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Cermak, Milan (2020). Trace-Share Dataset for Evaluation of Trace Meaning Preservation [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3547527
    Explore at:
    Dataset updated
    May 7, 2020
    Dataset provided by
    Madeja, Tomas
    Cermak, Milan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The dataset contains all data used during the evaluation of trace meaning preservation. Archives are protected by password "trace-share" to avoid false detection by antivirus software.

    For more information, see the project repository at https://github.com/Trace-Share.

    Selected Attack Traces

    The following list contains trace datasets used for evaluation. Each attack was chosen to have not only a different meaning but also different statistical properties.

    dos_http_flood — the capture of GET and POST requests sent to one server by one attacker (HTTP~traffic);

    ftp_bruteforce — short and unsuccessful attempt to guess a user’s password for FTP service (FTP traffic);

    ponyloader_botnet — Pony Loader botnet used for stealing of credentials from 3 target devices reporting to single IP with a large number of intermediate addresses (DNS and HTTP traffic);

    scan — the capture of nmap tool that scans given subnet using ICMP echo and TCP SYN requests (consist of ARP, ICMP, and TCP traffic);

    wannacry_ransomware — the capture of Wanacry ransomware that spreads in a domain with three workstations, a domain controller, and a file-sharing server (SMB and SMBv2 traffic).

    Background Traffic Data

    Publicly available dataset CSE-CIC-IDS-2018 was used as a background traffic data. The evaluation uses data from the day Thursday-01-03-2018 containing a sufficient proportion of regular traffic without any statistically significant attacks. Only traffic aimed at victim machines (range 172.31.69.0/24) is used to reduce less significant traffic.

    Evaluation Results and Dataset Structure

    Traces variants (traces.zip)

    ./traces-original/ — trace PCAP files and crawled details in YAML format;

    ./traces-normalized — normalized PCAP files and details in YAML format;

    ./traces-adjusted — adjusted PCAP files using various timestamp generation settings, combination configuration in YAML format, and lables provided by ID2T in XML format.

    Extracted alerts (alerts.zip)

    ./alerts-original/ — extracted Suricata alerts, Suricata log, and full Suricata output for all original trace files;

    ./alerts-normalized/ — extracted Suricata alerts, Suricata log, and full Suricata output for all normalized trace files;

    ./alerts-adjusted/ — extracted Suricata alerts, Suricata log, and full Suricata output for all adjusted trace files.

    Evaluation results

    *.csv files in the root directory — data contains extracted alert signatures and their count per each trace variant.

  4. Z

    Data from: The FORTH-TRACE dataset for human activity recognition of simple...

    • data.niaid.nih.gov
    • zenodo.org
    Updated Jan 24, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Panagiotis Tsakalides (2020). The FORTH-TRACE dataset for human activity recognition of simple activities and postural transitions using a Body Area Network [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_841300
    Explore at:
    Dataset updated
    Jan 24, 2020
    Dataset provided by
    Katerina Karagiannaki
    Athanasia Panousopoulou
    Panagiotis Tsakalides
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Description

    The dataset is collected from 15 participants wearing 5 Shimmer wearable sensor nodes on the locations listed in Table 1. The participants performed a series of 16 activities (7 basic and 9 postural transitions), listed in Table 2.

    The captured signals are the following:

    3-axis accelerometer

    3-axis gyroscope

    3-axis magnetometer

    The sampling rate of the devices is set to 51.2 Hz.

    DATASET FILES

    The dataset contains the following files:

    partX/partXdev1.csv

    partX/partXdev2.csv

    partX/partXdev3.csv

    partX/partXdev4.csv

    partX/partXdev5.csv

    Where X corresponds to the participant ID, and numbers 1-5 to the device IDs indicated in Table 1.

    Each .csv file has the following format:

    Column1: Device ID

    Column2: accelerometer x

    Column3: accelerometer y

    Column4: accelerometer z

    Column5: gyroscope x

    Column6: gyroscope y

    Column7: gyroscope z

    Column8: magnetometer x

    Column9: magnetometer y

    Column10: magnetometer z

    Column11: Timestamp

    Column12: Activity Label

    Table 1: LOCATIONS

    Left Wrist

    Right Wrist

    Torso

    Right Thigh

    Left Ankle

    Table 2: ACTIVITY LABELS

    (Arrows (->) indicate transitions between activities)

    stand

    sit

    sit and talk

    walk

    walk and talk

    climb stairs (up/down)

    climb stairs (up/down) and talk

    stand -> sit

    sit -> stand

    stand -> sit and talk

    sit and talk -> stand

    stand -> walk

    walk -> stand

    stand -> climb stairs (up/down), stand -> climb stairs (up/down) and talk

    climb stairs (up/down) -> walk

    climb stairs (up/down) and talk -> walk and talk

  5. Operation Without a Trace

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Jun 7, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ICE (2025). Operation Without a Trace [Dataset]. https://catalog.data.gov/dataset/operation-without-a-trace
    Explore at:
    Dataset updated
    Jun 7, 2025
    Dataset provided by
    United States Immigration and Customs Enforcementhttp://www.ice.gov/
    Description

    This dataset is about HSI Led efforts at the National Targeting Center-Investigations, Operation Without a Trace is a unified DHS strategy to combat the illicit flow of firearms, firearms components, and ammunition from the United States into Mexico

  6. Track and trace solutions market revenue worldwide 2024 vs. 2029

    • statista.com
    Updated Jun 13, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Track and trace solutions market revenue worldwide 2024 vs. 2029 [Dataset]. https://www.statista.com/statistics/1014601/worldwide-track-and-trace-solutions-market-size/
    Explore at:
    Dataset updated
    Jun 13, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    This statistic shows the projected size of the track and trace solutions market worldwide in 2024 and 2029. For 2024, the market size is projected at some 3.1 billion U.S. dollars worldwide. By 2029, the market is expected to increase up to 4.8 billion dollars.

  7. p

    Distribution of Students Across Grade Levels in Trace Crossings Elementary...

    • publicschoolreview.com
    Updated Feb 9, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Public School Review (2025). Distribution of Students Across Grade Levels in Trace Crossings Elementary School [Dataset]. https://www.publicschoolreview.com/trace-crossings-elementary-school-profile
    Explore at:
    Dataset updated
    Feb 9, 2025
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset tracks annual distribution of students across grade levels in Trace Crossings Elementary School

  8. Trace Downstream

    • hub.arcgis.com
    • geoglows.amerigeoss.org
    • +1more
    Updated Dec 19, 2013
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2013). Trace Downstream [Dataset]. https://hub.arcgis.com/content/5314c23c24484c68ac961f8772be813b
    Explore at:
    Dataset updated
    Dec 19, 2013
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    Trace Downstream works with either interactively specified points or by specifying a layer containing points. Trace Downstream has several optional parameters:Point ID Field: A string or integer field that supplies a name or ID to each point.Source Database: Available source databases include US30m National Elevation Dataset (NED) for the continental United States (US Geological Survey, 2010-2011), US10m National Elevation Dataset (NED) for Hawaii, American Samoa, Northern Mariana Islands, Guam, Puerto Rico and US Virgin Islands, and the 90m HydroSHEDS for the world between 60 degrees North and 56 degrees South, plus some areas in Canada and Alaska north of 60 degrees. Please refer to the locator map for detailed information about available areas. Additional areas and resolutions will be available in the future.Input Features: The maximum number of input features is 100.Esri processed the source data to derive additional layers required to support high performance and scalable watershed delineation and downstream trace tasks. The source data were the same elevation, Hydrologic Unit boundaries, streams and waterbodies that were used by the Environmental Protection Agency and US Geological Survey to produce NHDPlus V2.1. Sinks were filled unless they fell within a Watershed Boundary Dataset (WBD) closed basin, ensuring that flow will only terminate in endorheic regions. The Esri hydroconditioning process differs from the NHDPlus V2.1 process; therefore the resulting watershed delineations and downstream traces do not always match those from NHDPlus V2.1. To learn more, read the developer documentation for Trace Downstream.

  9. Track And Trace Solutions Market Size & Share Analysis - Industry Research...

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Aug 1, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Mordor Intelligence (2025). Track And Trace Solutions Market Size & Share Analysis - Industry Research Report - Growth Trends [Dataset]. https://www.mordorintelligence.com/industry-reports/track-and-trace-solutions-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Aug 1, 2025
    Dataset provided by
    Authors
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2019 - 2030
    Area covered
    Global
    Description

    The Track and Trace Solutions Market is Segmented by Component (Hardware Systems [Printing & Marking Equipment, and More], Software Solutions, and More), Technology (Barcode / 2-D DataMatrix, and More), Application (Serialization Solutions and Aggregation Solutions), End User (Pharmaceutical Manufacturers, and More), and Geography (North America, Europe, and More). The Market Forecasts are Provided in Terms of Value (USD).

  10. g

    TRACE-A Merge Data

    • gimi9.com
    • s.cnmilf.com
    • +3more
    Updated Apr 5, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2024). TRACE-A Merge Data [Dataset]. https://gimi9.com/dataset/data-gov_trace-a-merge-data/
    Explore at:
    Dataset updated
    Apr 5, 2024
    Description

    TRACE-A_Merge_Data is merge data files created from data collected onboard the DC-8 aircraft during the Transport and Atmospheric Chemistry near the Equator - Atlantic (TRACE-A) suborbital campaign. Data collection for this product is complete. The TRACE-A mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-A was conducted in the Atlantic from September 21 to October 24, 1992. TRACE-A had the objective of determining the cause and source of the high concentrations of ozone that accumulated over the Atlantic Ocean between southern Africa and South America from August to October. NASA partnered with the Brazilian Space Agency (INPE) to accomplish this goal. The NASA DC-8 aircraft and ozonesondes were utilized during TRACE-A to collect the necessary data. The DC-8 was equipped with 19 instruments. A few instruments on the DC-8 include the Differential Absorption Lidar (DIAL), the Laser-Induced Fluorescence, the O3-NO Ethylene/Forward Scattering Spectrometer, the Modified Licor, and the DACOM IR Laser Spectrometer. The DIAL was responsible for a variety of measurements, which include Nadir IR aerosols, Nadir UV aerosols, Zenith IR aerosols, Zenith VS aerosols, ozone, and ozone column. The Laser-Induced Fluorescence instrument collected measurements on NxOy in the atmosphere. Measurements of ozone were recorded by the O3-NO Ethylene/Forward Scattering Spectrometer while the Modified Licor recorded CO2. Finally, the DACOM IR Laser Spectrometer gathered an assortment of data points, including CO, O3, N2O, CH4, and CO2. Ozonesondes played a role in data collection for TRACE-A along with the DC-8 aircraft. The sondes were dropped from the DC-8 aircraft in order to gather data on ozone, temperature, and atmospheric pressure.

  11. Z

    Track and Trace Solutions Market By Technology (RFID and Barcodes), By...

    • zionmarketresearch.com
    pdf
    Updated Aug 14, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Zion Market Research (2025). Track and Trace Solutions Market By Technology (RFID and Barcodes), By Product (Software Solutions and Hardware Systems), By Application (Aggregation Solutions and Serialization Solutions), By End-User (Medical Devices Companies, Pharmaceutical and Biopharmaceutical Companies, Cosmetic Industry, and Others), and By Region: Global Industry Perspective, Comprehensive Analysis, and Forecast, 2024 - 2032 [Dataset]. https://www.zionmarketresearch.com/report/track-and-trace-solutions-market
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Aug 14, 2025
    Dataset authored and provided by
    Zion Market Research
    License

    https://www.zionmarketresearch.com/privacy-policyhttps://www.zionmarketresearch.com/privacy-policy

    Time period covered
    2022 - 2030
    Area covered
    Global
    Description

    track and trace solutions market is expected to generate revenue of around USD 31.62 billion by 2032, growing at a CAGR of around 19.5% between 2024 and 2032.

  12. Data from: TRACE-A Brazil Data

    • catalog.data.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +3more
    Updated Jul 10, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    NASA/LARC/SD/ASDC (2025). TRACE-A Brazil Data [Dataset]. https://catalog.data.gov/dataset/trace-a-brazil-data-d9a31
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Area covered
    Brazil
    Description

    TRACE-A_Brazil_Data is the aircraft and rawinsonde data collected in Brazil during the Transport and Atmospheric Chemistry near the Equator - Atlantic (TRACE-A) suborbital campaign. Data from the Advanced Very High Resolution Radiometer (AVHRR) is featured in this collection. Data collection for this product is complete.The TRACE-A mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-A was conducted in the Atlantic from September 21 to October 24, 1992. TRACE-A had the objective of determining the cause and source of the high concentrations of ozone that accumulated over the Atlantic Ocean between southern Africa and South America from August to October. NASA partnered with the Brazilian Space Agency (INPE) to accomplish this goal.  The NASA DC-8 aircraft and ozonesondes were utilized during TRACE-A to collect the necessary data. The DC-8 was equipped with 19 instruments. A few instruments on the DC-8 include the Differential Absorption Lidar (DIAL), the Laser-Induced Fluorescence, the O3-NO Ethylene/Forward Scattering Spectrometer, the Modified Licor, and the DACOM IR Laser Spectrometer. The DIAL was responsible for a variety of measurements, which include Nadir IR aerosols, Nadir UV aerosols, Zenith IR aerosols, Zenith VS aerosols, ozone, and ozone column. The Laser-Induced Fluorescence instrument collected measurements on NxOy in the atmosphere. Measurements of ozone were recorded by the O3-NO Ethylene/Forward Scattering Spectrometer while the Modified Licor recorded CO2. Finally, the DACOM IR Laser Spectrometer gathered an assortment of data points, including CO, O3, N2O, CH4, and CO2. Ozonesondes played a role in data collection for TRACE-A along with the DC-8 aircraft. The sondes were dropped from the DC-8 aircraft in order to gather data on ozone, temperature, and atmospheric pressure.

  13. TRACE-A In Situ DC-8 Meteorology and Navigation Data - Dataset - NASA Open...

    • data.nasa.gov
    Updated Apr 1, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    nasa.gov (2025). TRACE-A In Situ DC-8 Meteorology and Navigation Data - Dataset - NASA Open Data Portal [Dataset]. https://data.nasa.gov/dataset/trace-a-in-situ-dc-8-meteorology-and-navigation-data-009e7
    Explore at:
    Dataset updated
    Apr 1, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    TRACE-A_MetNav_AircraftInSitu_DC8_Data is the in situ meteorology and navigation data collected onboard the DC-8 aircraft during the Transport and Atmospheric Chemistry near the Equator - Atlantic (TRACE-A) suborbital campaign. Data collection for this product is complete.TRACE-A_TraceGas_AircraftInSitu_DC8_Data is the in-situ trace gas data collected onboard the DC-8 aircraft during the Transport and Atmospheric Chemistry near the Equator - Atlantic (TRACE-A) suborbital campaign. Data from the Two Photon - Laser Induced Fluorescence (TP-LIF) and Differential Absorption of CO, CH4, N2O Measurements (DACOM) instruments are featured in this collection. Data collection for this product is complete.The TRACE-A mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-A was conducted in the Atlantic from September 21 to October 24, 1992. TRACE-A had the objective of determining the cause and source of the high concentrations of ozone that accumulated over the Atlantic Ocean between southern Africa and South America from August to October. NASA partnered with the Brazilian Space Agency (INPE) to accomplish this goal. The NASA DC-8 aircraft and ozonesondes were utilized during TRACE-A to collect the necessary data. The DC-8 was equipped with 19 instruments. A few instruments on the DC-8 include the Differential Absorption Lidar (DIAL), the Laser-Induced Fluorescence, the O3-NO Ethylene/Forward Scattering Spectrometer, the Modified Licor, and the DACOM IR Laser Spectrometer. The DIAL was responsible for a variety of measurements, which include Nadir IR aerosols, Nadir UV aerosols, Zenith IR aerosols, Zenith VS aerosols, ozone, and ozone column. The Laser-Induced Fluorescence instrument collected measurements on NxOy in the atmosphere. Measurements of ozone were recorded by the O3-NO Ethylene/Forward Scattering Spectrometer while the Modified Licor recorded CO2. Finally, the DACOM IR Laser Spectrometer gathered an assortment of data points, including CO, O3, N2O, CH4, and CO2. Ozonesondes played a role in data collection for TRACE-A along with the DC-8 aircraft. The sondes were dropped from the DC-8 aircraft in order to gather data on ozone, temperature, and atmospheric pressure.

  14. TRACE-A Kinematic Trajectory Data - Dataset - NASA Open Data Portal

    • data.nasa.gov
    • data.staging.idas-ds1.appdat.jsc.nasa.gov
    Updated Apr 1, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    nasa.gov (2025). TRACE-A Kinematic Trajectory Data - Dataset - NASA Open Data Portal [Dataset]. https://data.nasa.gov/dataset/trace-a-kinematic-trajectory-data-48fdc
    Explore at:
    Dataset updated
    Apr 1, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    TRACE-A_Trajectory_Data is the kinematic trajectory data collected during the Transport and Atmospheric Chemistry near the Equator - Atlantic (TRACE-A) suborbital campaign. Data from the Two Photon - Laser Induced Fluorescence (TP-LIF) and Differential Absorption of CO, CH4, N2O Measurements (DACOM) instruments are featured in this collection. Data collection for this product is complete.The TRACE-A mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-A was conducted in the Atlantic from September 21 to October 24, 1992. TRACE-A had the objective of determining the cause and source of the high concentrations of ozone that accumulated over the Atlantic Ocean between southern Africa and South America from August to October. NASA partnered with the Brazilian Space Agency (INPE) to accomplish this goal. The NASA DC-8 aircraft and ozonesondes were utilized during TRACE-A to collect the necessary data. The DC-8 was equipped with 19 instruments. A few instruments on the DC-8 include the Differential Absorption Lidar (DIAL), the Laser-Induced Fluorescence, the O3-NO Ethylene/Forward Scattering Spectrometer, the Modified Licor, and the DACOM IR Laser Spectrometer. The DIAL was responsible for a variety of measurements, which include Nadir IR aerosols, Nadir UV aerosols, Zenith IR aerosols, Zenith VS aerosols, ozone, and ozone column. The Laser-Induced Fluorescence instrument collected measurements on NxOy in the atmosphere. Measurements of ozone were recorded by the O3-NO Ethylene/Forward Scattering Spectrometer while the Modified Licor recorded CO2. Finally, the DACOM IR Laser Spectrometer gathered an assortment of data points, including CO, O3, N2O, CH4, and CO2. Ozonesondes played a role in data collection for TRACE-A along with the DC-8 aircraft. The sondes were dropped from the DC-8 aircraft in order to gather data on ozone, temperature, and atmospheric pressure.

  15. SlowOps: An Industrial Dataset of Stack Traces

    • zenodo.org
    bin, zip
    Updated Dec 12, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Egor Shibaev; Egor Shibaev; Denis Sushentsev; Denis Sushentsev; Yaroslav Golubev; Yaroslav Golubev; Aleksandr Khvorov; Aleksandr Khvorov (2024). SlowOps: An Industrial Dataset of Stack Traces [Dataset]. http://doi.org/10.5281/zenodo.14364858
    Explore at:
    bin, zipAvailable download formats
    Dataset updated
    Dec 12, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Egor Shibaev; Egor Shibaev; Denis Sushentsev; Denis Sushentsev; Yaroslav Golubev; Yaroslav Golubev; Aleksandr Khvorov; Aleksandr Khvorov
    License

    http://www.apache.org/licenses/LICENSE-2.0http://www.apache.org/licenses/LICENSE-2.0

    Description

    This package contains SlowOps, and industrial dataset of stack traces introduced in our paper "Stack Trace Deduplication: Faster, More Accurately, and in More Realistic Scenarios".

    SlowOps is an dataset of stack traces (reports) and their categories (issues), aimed at evaluating different models for stack trace deduplication. The dataset includes reports related to Slow Operation Assertion, collected at JetBrains from IntelliJ-based products in the time from 26.01.2021 to 29.02.2024. It contains 886,730 reports in 1,361 categories.

    For more information about the dataset, please refer to the README.

  16. Data from: TRACE-P DC-8 In-Situ Trace Gas Data

    • catalog.data.gov
    • s.cnmilf.com
    • +2more
    Updated Jul 10, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    NASA/LARC/SD/ASDC (2025). TRACE-P DC-8 In-Situ Trace Gas Data [Dataset]. https://catalog.data.gov/dataset/trace-p-dc-8-in-situ-trace-gas-data-6e7a3
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    TRACE-P_TraceGas_AircraftInSitu_DC8_Data is the in-situ trace gas data collected onboard the DC-8 aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data from the Two Photon - Laser Induced Fluorescence (TP-LIF) and Differential Absorption of CO, CH4, N2O Measurements (DACOM) instruments are featured in this collection. Data collection for this product is complete.The NASA TRACE-P mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities. TRACE-P deployed its payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging from Asia to the western Pacific. Along with this, TRACE-P had the objective studying the chemical evolution of the air as it moved away from Asia.  In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation. TRACE-P also relied on ground sites, and satellites to collect data. The DC-8 aircraft was equipped with 19 instruments in total while the P-3B boasted 21 total instruments. Some instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various wavelengths including aerosol scattering (450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O. DIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm), tropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere. The P-3B aircraft was equipped with various instruments for TRACE-P, some of which include the MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the Condensation particle counter and Pulse Height Analysis (PHA). The MSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN. Finally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes, SeaWiFS cloud imagery, 8-day exposure to TOMS aerosols, and SeaWiFS aerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.

  17. p

    Trends in Total Students (2009-2023): Trace

    • publicschoolreview.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Public School Review, Trends in Total Students (2009-2023): Trace [Dataset]. https://www.publicschoolreview.com/trace-profile
    Explore at:
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset tracks annual total students amount from 2009 to 2023 for Trace

  18. TRACE-A Supplementary Satellite Data

    • catalog.data.gov
    • s.cnmilf.com
    • +4more
    Updated Aug 21, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    NASA/LARC/SD/ASDC (2025). TRACE-A Supplementary Satellite Data [Dataset]. https://catalog.data.gov/dataset/trace-a-supplementary-satellite-data-4b810
    Explore at:
    Dataset updated
    Aug 21, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    TRACE-A_Satellite_Data is the supplementary satellite data collected during the Transport and Atmospheric Chemistry near the Equator - Atlantic (TRACE-A) suborbital campaign. Data from the NOAA 10, 11, and 12 satellites and the Total Ozone Mapping Spectrometer (TOMS) satellite instrument are featured in this collection. Data collection for this product is complete.The TRACE-A mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-A was conducted in the Atlantic from September 21 to October 24, 1992. TRACE-A had the objective of determining the cause and source of the high concentrations of ozone that accumulated over the Atlantic Ocean between southern Africa and South America from August to October. NASA partnered with the Brazilian Space Agency (INPE) to accomplish this goal.  The NASA DC-8 aircraft and ozonesondes were utilized during TRACE-A to collect the necessary data. The DC-8 was equipped with 19 instruments. A few instruments on the DC-8 include the Differential Absorption Lidar (DIAL), the Laser-Induced Fluorescence, the O3-NO Ethylene/Forward Scattering Spectrometer, the Modified Licor, and the DACOM IR Laser Spectrometer. The DIAL was responsible for a variety of measurements, which include Nadir IR aerosols, Nadir UV aerosols, Zenith IR aerosols, Zenith VS aerosols, ozone, and ozone column. The Laser-Induced Fluorescence instrument collected measurements on NxOy in the atmosphere. Measurements of ozone were recorded by the O3-NO Ethylene/Forward Scattering Spectrometer while the Modified Licor recorded CO2. Finally, the DACOM IR Laser Spectrometer gathered an assortment of data points, including CO, O3, N2O, CH4, and CO2. Ozonesondes played a role in data collection for TRACE-A along with the DC-8 aircraft. The sondes were dropped from the DC-8 aircraft in order to gather data on ozone, temperature, and atmospheric pressure.

  19. TRACE-P Model Data - Dataset - NASA Open Data Portal

    • data.nasa.gov
    Updated Apr 1, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    nasa.gov (2025). TRACE-P Model Data - Dataset - NASA Open Data Portal [Dataset]. https://data.nasa.gov/dataset/trace-p-model-data-3df68
    Explore at:
    Dataset updated
    Apr 1, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    TRACE-P_Model_Data is the model data collected during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data collection for this product is complete.The NASA TRACE-P mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities. TRACE-P deployed its payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging from Asia to the western Pacific. Along with this, TRACE-P had the objective studying the chemical evolution of the air as it moved away from Asia. In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation. TRACE-P also relied on ground sites, and satellites to collect data. The DC-8 aircraft was equipped with 19 instruments in total while the P-3B boasted 21 total instruments. Some instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various wavelengths including aerosol scattering (450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O. DIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm), tropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere. The P-3B aircraft was equipped with various instruments for TRACE-P, some of which include the MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the Condensation particle counter and Pulse Height Analysis (PHA). The MSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN. Finally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes, SeaWiFS cloud imagery, 8-day exposure to TOMS aerosols, and SeaWiFS aerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.

  20. i

    Vehicular Trace File

    • ieee-dataport.org
    Updated Nov 27, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Olanrewaju Ahmed (2023). Vehicular Trace File [Dataset]. https://ieee-dataport.org/documents/vehicular-trace-file
    Explore at:
    Dataset updated
    Nov 27, 2023
    Authors
    Olanrewaju Ahmed
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    respectively.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
KDU (2024). Trace Data Dataset [Dataset]. https://universe.roboflow.com/kdu-jadoc/trace-data

Data from: Trace Data Dataset

trace-data

trace-data-dataset

Related Article
Explore at:
zipAvailable download formats
Dataset updated
Jan 1, 2024
Dataset authored and provided by
KDU
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Variables measured
Numberplates NGkY Bounding Boxes
Description

Trace Data

## Overview

Trace Data is a dataset for object detection tasks - it contains Numberplates NGkY annotations for 1,039 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
Search
Clear search
Close search
Google apps
Main menu