87 datasets found
  1. D

    Data Analysis Reports Team (DART) -

    • data.transportation.gov
    • data.virginia.gov
    • +3more
    application/rdfxml +5
    Updated Dec 17, 2018
    + more versions
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    (2018). Data Analysis Reports Team (DART) - [Dataset]. https://data.transportation.gov/Trucking-and-Motorcoaches/Data-Analysis-Reports-Team-DART-/nsfz-pmeu
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    application/rdfxml, csv, application/rssxml, xml, tsv, jsonAvailable download formats
    Dataset updated
    Dec 17, 2018
    Description

    The DART team is responsible for fulfilling ad hoc data requests that come in to the Analysis Division, FMCSA. The DART system tracks these requests, stores any coding and results, and performs internal reporting about requests received.

  2. P

    DART Dataset

    • paperswithcode.com
    • tensorflow.org
    • +2more
    Updated Dec 7, 2022
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    Linyong Nan; Dragomir Radev; Rui Zhang; Amrit Rau; Abhinand Sivaprasad; Chiachun Hsieh; Xiangru Tang; Aadit Vyas; Neha Verma; Pranav Krishna; Yangxiaokang Liu; Nadia Irwanto; Jessica Pan; Faiaz Rahman; Ahmad Zaidi; Mutethia Mutuma; Yasin Tarabar; Ankit Gupta; Tao Yu; Yi Chern Tan; Xi Victoria Lin; Caiming Xiong; Richard Socher; Nazneen Fatema Rajani (2022). DART Dataset [Dataset]. https://paperswithcode.com/dataset/dart
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    Dataset updated
    Dec 7, 2022
    Authors
    Linyong Nan; Dragomir Radev; Rui Zhang; Amrit Rau; Abhinand Sivaprasad; Chiachun Hsieh; Xiangru Tang; Aadit Vyas; Neha Verma; Pranav Krishna; Yangxiaokang Liu; Nadia Irwanto; Jessica Pan; Faiaz Rahman; Ahmad Zaidi; Mutethia Mutuma; Yasin Tarabar; Ankit Gupta; Tao Yu; Yi Chern Tan; Xi Victoria Lin; Caiming Xiong; Richard Socher; Nazneen Fatema Rajani
    Description

    DART is a large dataset for open-domain structured data record to text generation. DART consists of 82,191 examples across different domains with each input being a semantic RDF triple set derived from data records in tables and the tree ontology of the schema, annotated with sentence descriptions that cover all facts in the triple set.

  3. v

    Global import data of Dart Game

    • volza.com
    csv
    Updated Dec 2, 2025
    + more versions
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    Volza.LLC (2025). Global import data of Dart Game [Dataset]. https://www.volza.com/imports-pakistan/pakistan-import-data-of-dart+game
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    csvAvailable download formats
    Dataset updated
    Dec 2, 2025
    Dataset provided by
    Volza.LLC
    License

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

    Variables measured
    Count of importers, Sum of import value, 2014-01-01/2021-09-30, Count of import shipments
    Description

    45 Global import shipment records of Dart Game with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  4. Darts participation in England 2017-2023

    • statista.com
    Updated Jan 15, 2025
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    Statista (2025). Darts participation in England 2017-2023 [Dataset]. https://www.statista.com/statistics/899474/darts-participation-uk/
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    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    England, United Kingdom
    Description

    Between November 2022 and November 2023, around 11,300 people in England regularly participated in darts, representing an increase of around 11 percent on the previous survey period. However, participant numbers remained under the 15,500 figure observed in 2017-18.

  5. d

    Monthly Aviation Traffic and Operating Statistics for Blue Dart in 2021

    • dataful.in
    Updated Jun 1, 2024
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    Dataful (Factly) (2024). Monthly Aviation Traffic and Operating Statistics for Blue Dart in 2021 [Dataset]. https://dataful.in/datasets/14856
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    csv, xlsx, application/x-parquetAvailable download formats
    Dataset updated
    Jun 1, 2024
    Dataset authored and provided by
    Dataful (Factly)
    License

    https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

    Time period covered
    2021
    Area covered
    India
    Description

    This dataset contains the Monthly Traffic and Operating Statistics for Blue Dart in 2021. It includes the number of hours flown, passenger kilometres performed, cargo carried, tonne kilometres- both available and performed, Pax. Load factor and so on.

  6. Deep-Ocean Assessment and Reporting of Tsunamis (DART(R))

    • catalog.data.gov
    • ncei.noaa.gov
    Updated Oct 31, 2024
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    NOAA National Centers for Environmental Information (Point of Contact) (2024). Deep-Ocean Assessment and Reporting of Tsunamis (DART(R)) [Dataset]. https://catalog.data.gov/dataset/deep-ocean-assessment-and-reporting-of-tsunamis-dartr1
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    Dataset updated
    Oct 31, 2024
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    National Centers for Environmental Informationhttps://www.ncei.noaa.gov/
    Description

    As part of the U.S. National Tsunami Hazard Mitigation Program (NTHMP), the Deep Ocean Assessment and Reporting of Tsunamis (DART(R)) Project is an ongoing effort to maintain and improve the capability for the early detection and real-time reporting of tsunamis in the open ocean. DART(R) stations have been sited in regions with a history of generating destructive tsunamis to ensure early detection of tsunamis and to acquire data critical to real-time forecasts. DART(R) systems consist of an anchored seafloor bottom pressure recorder (BPR) and a companion moored surface buoy for real-time communications. An acoustic link transmits data from the BPR on the seafloor to the surface buoy. The data are then relayed via an Iridium satellite link to ground stations, which demodulate the signals for immediate dissemination to NOAA's Tsunami Warning Centers, NDBC, and PMEL. The National Centers for Environmental Information (NCEI, formerly the National Geophysical Data Center--NGDC) serves as the archive center for this data and provides the historical data to users.

  7. C

    DART(R) Deployment 46411_20100917to20110531: High-resolution Ocean Bottom...

    • data.cnra.ca.gov
    • data.amerigeoss.org
    csv, html, json +1
    Updated Feb 23, 2023
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    Ocean Data Partners (2023). DART(R) Deployment 46411_20100917to20110531: High-resolution Ocean Bottom Pressure Data [Dataset]. https://data.cnra.ca.gov/dataset/dartr-deployment-46411_20100917to20110531-high-resolution-ocean-bottom-pressure-data
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    html, json, netcdf, csvAvailable download formats
    Dataset updated
    Feb 23, 2023
    Dataset authored and provided by
    Ocean Data Partners
    Description

    As part of the U.S. National Tsunami Hazard Mitigation Program (NTHMP), the Deep Ocean Assessment and Reporting of Tsunamis (DART(R)) Project is an ongoing effort to maintain and improve the capability for the early detection and real-time reporting of tsunamis in the open ocean. DART(R) stations have been sited in regions with a history of generating destructive tsunamis to ensure early detection of tsunamis and to acquire data critical to real-time forecasts. DART(R) systems consist of an anchored seafloor bottom pressure recorder (BPR) and a companion moored surface buoy for real-time communications. An acoustic link transmits data from the BPR on the seafloor to the surface buoy. The data are then relayed via an Iridium satellite link to ground stations, which demodulate the signals for immediate dissemination to NOAA's Tsunami Warning Centers, NDBC, and PMEL. The National Geophysical Data Center (NGDC) serves as the archive center for this data and provides

    the historical data to users.

  8. Data from: NIST DART-MS Forensics Database (is-CID)

    • catalog.data.gov
    • data.nist.gov
    • +1more
    Updated Mar 14, 2025
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    National Institute of Standards and Technology (2025). NIST DART-MS Forensics Database (is-CID) [Dataset]. https://catalog.data.gov/dataset/nist-dart-ms-forensics-database-is-cid
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    Dataset updated
    Mar 14, 2025
    Dataset provided by
    National Institute of Standards and Technologyhttp://www.nist.gov/
    Description

    The NIST DART-MS Forensics Database is an evaluated collection of in-source collisionally-induced dissociation (is-CID) mass spectra of compounds of interest to the forensics community (e.g. seized drugs, cutting agents, etc.). The is-CID mass spectra were collected using Direct Analysis in Real-Time (DART) Mass Spectrometry (MS), either by NIST scientists or by contributing agencies noted per compound. The database is provided as a general-purpose structure data file (.SDF). For users on Windows operating systems, the .SDF format library can be converted to NIST MS Search format using Lib2NIST and then explored using NIST MS Search v2.4 for general mass spectral analysis. These software tools can be downloaded at https://chemdata.nist.gov. The database is now (09-28-2021) also provided in R data format (.RDS) for use with the R programming language. This database, also commonly referred to as a library, is one in a series of high-quality mass spectral libraries/databases produced by NIST (see NIST SRD 1a, https://dx.doi.org/10.18434/T4H594).

  9. o

    Data from: DART POINT

    • opencontext.org
    Updated Oct 3, 2022
    + more versions
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    Florida Department of State, Division of Historical Resources (FDOS-DHR) (2022). DART POINT [Dataset]. https://opencontext.org/types/a6499f1e-8703-4f5e-e106-7b44e2817333
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    Dataset updated
    Oct 3, 2022
    Dataset provided by
    Open Context
    Authors
    Florida Department of State, Division of Historical Resources (FDOS-DHR)
    License

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

    Description

    An Open Context "types" dataset item. Open Context publishes structured data as granular, URL identified Web resources. This record is part of the "Florida Site Files" data publication.

  10. o

    Dart Street Cross Street Data in East Rockaway, NY

    • ownerly.com
    Updated Mar 19, 2022
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    Ownerly (2022). Dart Street Cross Street Data in East Rockaway, NY [Dataset]. https://www.ownerly.com/ny/east-rockaway/dart-st-home-details
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    Dataset updated
    Mar 19, 2022
    Dataset authored and provided by
    Ownerly
    Area covered
    New York, East Rockaway, Dart Street
    Description

    This dataset provides information about the number of properties, residents, and average property values for Dart Street cross streets in East Rockaway, NY.

  11. India Dart Board Export Data, List of Dart Board Exporters in India

    • seair.co.in
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    Seair Exim, India Dart Board Export Data, List of Dart Board Exporters in India [Dataset]. https://www.seair.co.in
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    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    India
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  12. a

    Deep Ocean Assessment and Reporting of Tsunamis (DART) Stations

    • azgeo-open-data-agic.hub.arcgis.com
    • disasters.amerigeoss.org
    • +5more
    Updated Jun 12, 2017
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    GeoPlatform ArcGIS Online (2017). Deep Ocean Assessment and Reporting of Tsunamis (DART) Stations [Dataset]. https://azgeo-open-data-agic.hub.arcgis.com/items/91c69b0350084f95a69234d7c424851e
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    Dataset updated
    Jun 12, 2017
    Dataset authored and provided by
    GeoPlatform ArcGIS Online
    License

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

    Area covered
    Description

    NCEI is the long-term archive for all NOAA Deep-ocean Assessment and Reporting of Tsunamis (DART) ocean bottom pressure data. Ocean bottom pressure data also undergo quality control and harmonic analysis at NCEI. The raw data and products are discoverable via the Map, Timelines, and THREDDS Data Server links. Data are provided as netCDF and as gzipped comma-separated-values (CSV). Background InformationIn the 1980s, NOAA's Pacific Marine Environmental Laboratory (PMEL) developed deep ocean tsunameters for the early detection, measurement, and real-time reporting of tsunamis in the open ocean. The PMEL's Project Deep-ocean Assessment and Reporting of Tsunamis (DART®) developed the tsunameters. A DART® system consists of a seafloor bottom pressure recorder (BPR) capable of detecting tsunamis as small as 1 centimeter, and a moored surface buoy for real-time communications. In 2003, operational responsibility of DART® transitioned from PMEL to the National Data Buoy Center (NDBC). There are currently 39 U.S. owned and operated DART® buoys installed throughout the Pacific and Atlantic oceans. This completes the current requirements for the DART® array. NOAA has installed DART® systems in the Indian Ocean in partnership with several international organizations (Owned Operated DART Buoys Data Available at NDBC). Upon recovery from the seafloor BPR, 15-second-resolution data undergo quality control and harmonic analysis at NOAA NCEI. Please contact haz.info@noaa.gov if you have questions. More information about DART Ocean Bottom Pressure Data at NCEI

  13. o

    Dart Street Cross Street Data in Post Falls, ID

    • ownerly.com
    Updated Dec 9, 2021
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    Ownerly (2021). Dart Street Cross Street Data in Post Falls, ID [Dataset]. https://www.ownerly.com/id/post-falls/dart-st-home-details
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    Dataset updated
    Dec 9, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Post Falls, Dart Street, Idaho
    Description

    This dataset provides information about the number of properties, residents, and average property values for Dart Street cross streets in Post Falls, ID.

  14. i

    Grant Giving Statistics for Amoa National Dart Association Inc

    • instrumentl.com
    Updated Jun 30, 2021
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    (2021). Grant Giving Statistics for Amoa National Dart Association Inc [Dataset]. https://www.instrumentl.com/990-report/amoa-national-dart-association-inc
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    Dataset updated
    Jun 30, 2021
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Amoa National Dart Association Inc

  15. Templates for the Implementation of DART-MS for Seized Drug Analysis

    • catalog.data.gov
    • data.nist.gov
    Updated Jul 29, 2022
    + more versions
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    National Institute of Standards and Technology (2022). Templates for the Implementation of DART-MS for Seized Drug Analysis [Dataset]. https://catalog.data.gov/dataset/templates-for-the-implementation-of-dart-ms-for-seized-drug-analysis
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    Dataset updated
    Jul 29, 2022
    Dataset provided by
    National Institute of Standards and Technologyhttp://www.nist.gov/
    Description

    This dataset includes templates to assist with laboratory implementation of direct analysis in real time mass spectrometry (DART-MS) for seized drug analysis. These templates should be modified as necessary to meet the needs of the particular laboratory. Certain commercial equipment, instruments, or materials are identified in this paper in order to specify the experimental procedure adequately. Such identification is not intended to imply recommendation or endorsement by NIST, nor is it intended to imply that the materials or equipment identified are necessarily the best available for the purpose. These opinions, recommendations, findings, and conclusions do not necessarily reflect the views or policies of NIST or the United States Government.

  16. Current DART Deployments

    • hifld-geoplatform.hub.arcgis.com
    • share-open-data-njtpa.hub.arcgis.com
    • +2more
    Updated Jun 12, 2017
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    GeoPlatform ArcGIS Online (2017). Current DART Deployments [Dataset]. https://hifld-geoplatform.hub.arcgis.com/maps/geoplatform::current-dart-deployments
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    Dataset updated
    Jun 12, 2017
    Dataset provided by
    Authors
    GeoPlatform ArcGIS Online
    License

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

    Area covered
    Description

    NCEI is the long-term archive for all NOAA Deep-ocean Assessment and Reporting of Tsunamis (DART) ocean bottom pressure data. Ocean bottom pressure data also undergo quality control and harmonic analysis at NCEI. The raw data and products are discoverable via the Map, Timelines, and THREDDS Data Server links. Data are provided as netCDF and as gzipped comma-separated-values (CSV). Background Information In the 1980s, NOAA's Pacific Marine Environmental Laboratory (PMEL) developed deep ocean tsunameters for the early detection, measurement, and real-time reporting of tsunamis in the open ocean. The PMEL's Project Deep-ocean Assessment and Reporting of Tsunamis (DART®) developed the tsunameters. A DART® system consists of a seafloor bottom pressure recorder (BPR) capable of detecting tsunamis as small as 1 centimeter, and a moored surface buoy for real-time communications. In 2003, operational responsibility of DART® transitioned from PMEL to the National Data Buoy Center (NDBC).There are currently 39 U.S. owned and operated DART® buoys installed throughout the Pacific and Atlantic oceans. This completes the current requirements for the DART® array. NOAA has installed DART® systems in the Indian Ocean in partnership with several international organizations (Owned Operated DART Buoys Data Available at NDBC).Upon recovery from the seafloor BPR, 15-second-resolution data undergo quality control and harmonic analysis at NOAA NCEI. Please contact haz.info@noaa.gov if you have questions.More information about DART Ocean Bottom Pressure Data at NCEI

  17. DArTSeq raw data for the oat lines

    • data.csiro.au
    Updated Nov 12, 2024
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    Duong Nguyen; David Lewis; Eva Henningsen; Rohit Mago; Jana Sperschneider; Kianian Shahryar; Peter Dodds; Melania Figueroa (2024). DArTSeq raw data for the oat lines [Dataset]. http://doi.org/10.25919/cftg-9j25
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    Dataset updated
    Nov 12, 2024
    Dataset provided by
    CSIROhttp://www.csiro.au/
    Authors
    Duong Nguyen; David Lewis; Eva Henningsen; Rohit Mago; Jana Sperschneider; Kianian Shahryar; Peter Dodds; Melania Figueroa
    License

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

    Time period covered
    Oct 10, 2022 - May 1, 2024
    Area covered
    Dataset funded by
    CSIROhttp://www.csiro.au/
    USDA-ARS Cereal Disease Laboratory
    Description

    DArTSeq raw data for two oat crown rust differential sets commonly used in North America (n = 40) and Australia (n = 47), respectively. Lineage: DArTSeq genotyping of oat lines was performed by Diversity Arrays Technology Pty Ltd. (https://www.diversityarrays.com/) (Canberra, Australia) using restriction enzymes PstI and HpaII with markers generated in two formats: SilicoDArT (presence/absence variants) and SNPs. The sequences of the DArT markers were aligned to the reference genome sequence of Avena sativa OT3098 v2 and Sang using BLAST (Altschul et al. 1990), with a threshold of an expected value (E) less than 5e-7 and a sequence identity greater than 70%.

  18. u

    CAM6 Data Assimilation Research Testbed (DART) Reanalysis

    • data.ucar.edu
    netcdf
    Updated Aug 4, 2024
    + more versions
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    Data Assimilation Research Section, Computational & Information Systems, National Center for Atmospheric Research, University Corporation for Atmospheric Research (2024). CAM6 Data Assimilation Research Testbed (DART) Reanalysis [Dataset]. http://doi.org/10.5065/JG1E-8525
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    netcdfAvailable download formats
    Dataset updated
    Aug 4, 2024
    Dataset provided by
    Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
    Authors
    Data Assimilation Research Section, Computational & Information Systems, National Center for Atmospheric Research, University Corporation for Atmospheric Research
    Time period covered
    Jan 1, 2011 - Jan 1, 2021
    Description

    These CAM6 Data Assimilation Research Testbed (DART) Reanalysis data products are designed to facilitate a broad variety of research using NCAR's CESM2 models, ranging from model evaluation to (ensemble) hindcasting, data assimilation experiments, and sensitivity studies. They come from an 80 member ensemble reanalysis of the global troposphere and stratosphere using DART and CAM6 from CESM2.1. The data products represent the actual states of the atmosphere during 2 recent decades at a 1 degree horizontal resolution and 6 hourly frequency. Each ensemble member is an equally likely description of the atmosphere, and is also consistent with dynamics and physics of CAM6. Visit DART Reanalysis [https://github.com/NCAR/DART/wiki/1-degree,-CAM6,-ensemble-reanalysis-for-CESM-experiments-%282011-thru-2019%29:-DATM,-hindcasts,-model-evaluation] for details.

  19. v

    Global import data of Dart Game Toy

    • volza.com
    csv
    Updated Jan 31, 2025
    + more versions
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    Volza.LLC (2025). Global import data of Dart Game Toy [Dataset]. https://www.volza.com/imports-india/india-import-data-of-dart+game+toy
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jan 31, 2025
    Dataset provided by
    Volza.LLC
    License

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

    Variables measured
    Count of importers, Sum of import value, 2014-01-01/2021-09-30, Count of import shipments
    Description

    481 Global import shipment records of Dart Game Toy with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  20. Average viewership of the PDC World Darts Championship 2024-2025, by country...

    • statista.com
    Updated Jan 16, 2025
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    Statista (2025). Average viewership of the PDC World Darts Championship 2024-2025, by country [Dataset]. https://www.statista.com/statistics/1550884/world-darts-championship-average-viewers/
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    Dataset updated
    Jan 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    The 2024/25 PDC World Darts Championship drew an average audience of 506,000 in the United Kingdom, being broadcast by pay-TV broadcaster Sky Sports. Meanwhile, the tournament saw an average viewership of 701,000 on free-to-air Sport1 in Germany.

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(2018). Data Analysis Reports Team (DART) - [Dataset]. https://data.transportation.gov/Trucking-and-Motorcoaches/Data-Analysis-Reports-Team-DART-/nsfz-pmeu

Data Analysis Reports Team (DART) -

Explore at:
application/rdfxml, csv, application/rssxml, xml, tsv, jsonAvailable download formats
Dataset updated
Dec 17, 2018
Description

The DART team is responsible for fulfilling ad hoc data requests that come in to the Analysis Division, FMCSA. The DART system tracks these requests, stores any coding and results, and performs internal reporting about requests received.

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