7 datasets found
  1. T

    GOLD RESERVES by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 26, 2014
    + more versions
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    TRADING ECONOMICS (2014). GOLD RESERVES by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/gold-reserves
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    May 26, 2014
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    2025
    Area covered
    World
    Description

    This dataset provides values for GOLD RESERVES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  2. D

    Data from: Global Wheat Head Detection (GWHD) Dataset: A Large and Diverse...

    • ckan.grassroots.tools
    pdf
    Updated Sep 15, 2022
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    Rothamsted Research (2022). Global Wheat Head Detection (GWHD) Dataset: A Large and Diverse Dataset of High-Resolution RGB-Labelled Images to Develop and Benchmark Wheat Head Detection Methods [Dataset]. https://ckan.grassroots.tools/dataset/fc628bb2-24cb-46ca-8a04-466c605c72d4
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    pdfAvailable download formats
    Dataset updated
    Sep 15, 2022
    Dataset provided by
    Rothamsted Research
    License

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

    Description

    jats:pThe detection of wheat heads in plant images is an important task for estimating pertinent wheat traits including head population density and head characteristics such as health, size, maturity stage, and the presence of awns. Several studies have developed methods for wheat head detection from high-resolution RGB imagery based on machine learning algorithms. However, these methods have generally been calibrated and validated on limited datasets. High variability in observational conditions, genotypic differences, development stages, and head orientation makes wheat head detection a challenge for computer vision. Further, possible blurring due to motion or wind and overlap between heads for dense populations make this task even more complex. Through a joint international collaborative effort, we have built a large, diverse, and well-labelled dataset of wheat images, called the Global Wheat Head Detection (GWHD) dataset. It contains 4700 high-resolution RGB images and 190000 labelled wheat heads collected from several countries around the world at different growth stages with a wide range of genotypes. Guidelines for image acquisition, associating minimum metadata to respect FAIR principles, and consistent head labelling methods are proposed when developing new head detection datasets. The GWHD dataset is publicly available at

  3. D

    Data from: Global Wheat Head Detection 2021: An Improved Dataset for...

    • ckan.grassroots.tools
    pdf, xml
    Updated Sep 16, 2022
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    Rothamsted Research (2022). Global Wheat Head Detection 2021: An Improved Dataset for Benchmarking Wheat Head Detection Methods [Dataset]. https://ckan.grassroots.tools/dataset/35091f4a-c0b7-4120-a503-e994d3d4275e
    Explore at:
    xml, pdfAvailable download formats
    Dataset updated
    Sep 16, 2022
    Dataset provided by
    Rothamsted Research
    License

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

    Description

    jats:pThe Global Wheat Head Detection (GWHD) dataset was created in 2020 and has assembled 193,634 labelled wheat heads from 4700 RGB images acquired from various acquisition platforms and 7 countries/institutions. With an associated competition hosted in Kaggle, GWHD_2020 has successfully attracted attention from both the computer vision and agricultural science communities. From this first experience, a few avenues for improvements have been identified regarding data size, head diversity, and label reliability. To address these issues, the 2020 dataset has been reexamined, relabeled, and complemented by adding 1722 images from 5 additional countries, allowing for 81,553 additional wheat heads. We now release in 2021 a new version of the Global Wheat Head Detection dataset, which is bigger, more diverse, and less noisy than the GWHD_2020 version./jats:p

  4. f

    Data from: ANALYSIS OF ATHLETES’ RUNNING ABILITY DATA MINING ALGORITHM BASED...

    • scielo.figshare.com
    tiff
    Updated Feb 9, 2024
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    Long Zhang (2024). ANALYSIS OF ATHLETES’ RUNNING ABILITY DATA MINING ALGORITHM BASED ON THE DYNAMIC CHARACTERISTICS OF FOOTBALL PLAYERS [Dataset]. http://doi.org/10.6084/m9.figshare.20024463.v1
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    tiffAvailable download formats
    Dataset updated
    Feb 9, 2024
    Dataset provided by
    SciELO journals
    Authors
    Long Zhang
    License

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

    Description

    ABSTRACT In 2008, our country successfully held the Olympic Games, where China won the most gold medals. After these Olympic Games, China has also become a world sports power. Our country’s table tennis, diving, skating and other sports are also in the leading ranks in the world. In this study, according to the current training status of Chinese football players, we used data mining algorithm to analyze the unawareness of acceleration and speed of Chinese athletes in the running process. In this study, these indicators were quantified and analyzed, which has successfully promoted the training level of Chinese football players.

  5. T

    Pakistan Gold Reserves

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Pakistan Gold Reserves [Dataset]. https://tradingeconomics.com/pakistan/gold-reserves
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Mar 31, 2000 - Mar 31, 2025
    Area covered
    Pakistan
    Description

    Gold Reserves in Pakistan increased to 64.75 Tonnes in the first quarter of 2025 from 64.74 Tonnes in the fourth quarter of 2024. This dataset provides - Pakistan Gold Reserves - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  6. T

    Philippines Gold Reserves

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 14, 2014
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    TRADING ECONOMICS (2014). Philippines Gold Reserves [Dataset]. https://tradingeconomics.com/philippines/gold-reserves
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    May 14, 2014
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Mar 31, 2000 - Mar 31, 2025
    Area covered
    Philippines
    Description

    Gold Reserves in Philippines decreased to 127.48 Tonnes in the first quarter of 2025 from 130.89 Tonnes in the fourth quarter of 2024. This dataset provides - Philippines Gold Reserves - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  7. T

    Cambodia Gold Reserves

    • tradingeconomics.com
    • fr.tradingeconomics.com
    • +12more
    csv, excel, json, xml
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    TRADING ECONOMICS, Cambodia Gold Reserves [Dataset]. https://tradingeconomics.com/cambodia/gold-reserves
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Mar 31, 2000 - Dec 31, 2024
    Area covered
    Cambodia
    Description

    Gold Reserves in Cambodia increased to 46.47 Tonnes in the fourth quarter of 2024 from 42.62 Tonnes in the third quarter of 2024. This dataset provides - Cambodia Gold Reserves - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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TRADING ECONOMICS (2014). GOLD RESERVES by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/gold-reserves

GOLD RESERVES by Country Dataset

GOLD RESERVES by Country Dataset (2025)

Explore at:
16 scholarly articles cite this dataset (View in Google Scholar)
excel, xml, csv, jsonAvailable download formats
Dataset updated
May 26, 2014
Dataset authored and provided by
TRADING ECONOMICS
License

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

Time period covered
2025
Area covered
World
Description

This dataset provides values for GOLD RESERVES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

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