세션만료알림

후 자동 로그아웃됩니다.
세션을 초기화하시겠습니까?

본문으로 바로가기 본문으로 바로가기 주메뉴 바로가기

KAGGLE

검색어 선택항목

결과내 키워드 검색

검색어

등록년도

  • ~

자료유형

국내외구분

데이터 제공처

데이터 리포지터리

주제분류

+ 더보기
주제분류
  •  
적용

접근권한

파일 다운로드 방법

라이센스유형

작성언어

검색결과 영역

검색어  > 

검색 결과를 데이터셋, 표/그림, 소프트웨어로 구분하여 확인할 수 있습니다.

데이터셋

72건
  • 2020 해외 공개 English
    Kaggle Wikipedia Web Traffic Weekly Dataset
    • 데이터 제공처 OpenAIRE
    • 데이터 리포지터리
    • 생성자 Godahewa, Rakshitha; Bergmeir, Christoph; Webb, Geoff;
    • 국가연구자번호
    • ntis과제번호
    • 과제명
    • 과제책임자
    • 과제수행기관
    • 부처
    • 라이센스유형 CC-BY-4.0;
    • 주제분류
    • 인용횟수 0
    • doi 10.5281/zenodo.3898338
    • 버전 1.0

    <p>This is the aggregated version of the daily dataset used in the Kaggle Wikipedia Web Traffic forecasting competition. It contains 145063 time series representing the number of hits or web traffic for a set of Wikipedia pages from 2015-07-01 to 2017-09-05, after aggregating them into weekly.</p> <p>The original dataset contains missing values. They have been simply replaced by zeros before aggregation.</p>

  • 2020 해외 공개 English
    Kaggle Wikipedia Web Traffic Weekly Dataset
    • 데이터 제공처 OpenAIRE
    • 데이터 리포지터리
    • 생성자 Godahewa, Rakshitha; Bergmeir, Christoph; Webb, Geoff; Hyndman, Rob; Montero-Manso, Pablo;
    • 국가연구자번호
    • ntis과제번호
    • 과제명
    • 과제책임자
    • 과제수행기관
    • 부처
    • 라이센스유형 CC-BY-4.0;
    • 주제분류
    • 인용횟수 0
    • doi 10.5281/zenodo.4656664
    • 버전 1.0

    This is the aggregated version of the daily dataset used in the Kaggle Wikipedia Web Traffic forecasting competition. It contains 145063 time series representing the number of hits or web traffic for a set of Wikipedia pages from 2015-07-01 to 2017-09-05, after aggregating them into weekly. The original dataset contains missing values. They have been simply replaced by zeros before aggregation.;{"references": ["Google, 2017. Web traffic time series forecasting. URL https://www.kaggle.com/c/web-traffic-time-series-forecasting}

  • 2020 해외 공개 Korean
    COVID-19 in India
    • 데이터 제공처 코비드-19
    • 데이터 리포지터리
    • 생성자
    • 국가연구자번호
    • ntis과제번호
    • 과제명
    • 과제책임자
    • 과제수행기관
    • 부처
    • 라이센스유형 CC-BY;
    • 주제분류 보건의료;
    • 인용횟수 0
    • doi 10.22711/0101ZZ013883525511.0
    • 버전 1.0

    Dataset on novel Covid-19 in IndiaCoronaviruses are a large family of viruses which may cause illness in animals or humans. In humans, several coronaviruses are known to cause respiratory infections ranging from the common cold to more severe diseases such as Middle East Respiratory Syndrome (MERS) and Severe Acute Respiratory Syndrome (SARS). The most recently discovered coronavirus causes coronavirus disease COVID-19 - World Health Organization

  • 2021 해외 공개 English
    Pakistan Drone Attacks
    • 데이터 제공처 국가연구데이터플랫폼
    • 데이터 리포지터리
    • 생성자 Zeeshan-ul-hassan Usmani;
    • 국가연구자번호
    • ntis과제번호
    • 과제명
    • 과제책임자
    • 과제수행기관
    • 부처
    • 라이센스유형 CC-BY;
    • 주제분류 정치/행정; 지리/지역/관광; 사회/인류/복지/여성;
    • 인용횟수 0
    • doi 10.34740/kaggle/dsv/8660
    • 버전 1.0

    ContextPakistan Drone Attacks (2004-2016)The United States has targeted militants in the Federally Administered Tribal Areas [FATA] and the province of Khyber Pakhtunkhwa [KPK] in Pakistan via its Predator and Reaper drone strikes since year 2004. Pakistan Body Count (www.PakistanBodyCount.org) is the oldest and most accurate running tally of drone strikes in Pakistan. The given database (PakistanDroneAttacks.CSV) has been populated by using majority of the data from Pakistan Body Count, and building up on it by canvassing open source newspapers, media reports, think tank analyses, and personal contacts in media and law enforcement agencies. We provide a count of the people killed and injured in drone strikes, including the ones who died later in hospitals or homes due to injuries caused or aggravated by drone strikes, making it the most authentic source for drone related data in this region.We will keep releasing the updates every quarter at this page.ContentGeography: PakistanTime period: 2004-2016Unit of analysis: AttackDataset: The dataset contains detailed information of 397 drone attacks in Pakistan that killed an estimated 3,558 and injured 1,333 people including 2,539 civilians.Variables: The dataset contains Serial No, Incident Day & Date, Approximate Time of the attack, Specific Location, City, Province, Number of people killed who claimed to be from Al-Qaeeda, Number of people killed who claimed to be from Taliban, minimum and maximum count of foreigners killed, minimum and maximum count of civilians killed, minimum and maximum count of civilians injured, special mention (more details) and comments about the attack, longitude and latitude of the location.Sources: Unclassified media articles, hospital reports, think tank analysis and reports, and government official press releases.Acknowledgements & ReferencesPakistan Body Count has been leveraged extensively in scholarly publications, reports, media articles and books. The website and the dataset has been collected and curated by the founder Zeeshan-ul-hassan Usmani.Users are allowed to use, copy, distribute and cite the dataset as follows: “Zeeshan-ul-hassan Usmani, Pakistan Body Count, Drone Attacks Dataset, Kaggle Dataset Repository, Jan 25, 2017.”Past ResearchZeeshan-ul-hassan Usmani and Hira Bashir, “The Impact of Drone Strikes in Pakistan”, Cost of War Project, Brown University, December 16, 2014InspirationSome ideas worth exploring:• How many people got killed and injured per year in last 12 years?• How many attacks involved killing of actual terrorists from Al-Qaeeda and Taliban?• How many attacks involved women and children?• Visualize drone attacks on timeline• Find out any correlation with number of drone attacks with specific date and time, for example, do we have more drone attacks in September?• Find out any correlation with drone attacks and major global events (US funding to Pakistan and/or Afghanistan, Friendly talks with terrorist outfits by local or foreign government?)• The number of drone attacks in Bush Vs Obama tenure?• The number of drone attacks versus the global increase/decrease in terrorism?• Correlation between number of drone strikes and suicide bombings in PakistanQuestions?For detailed visit www.PakistanBodyCount.orgOr contact Pakistan Body Count staff at info@pakistanbodycount.org

  • 2021 해외 공개 English
    Coughs: ESC-50 and FSDKaggle2018
    • 데이터 제공처 OpenAIRE
    • 데이터 리포지터리
    • 생성자 Abdelkhalek, Mahmoud; Jinyi Qiu; Hernandez, Michelle; Bozkurt, Alper; Lobaton, Edgar;
    • 국가연구자번호
    • ntis과제번호
    • 과제명
    • 과제책임자
    • 과제수행기관
    • 부처
    • 라이센스유형 CC-BY-4.0;
    • 주제분류
    • 인용횟수 0
    • doi 10.5281/zenodo.5136592
    • 버전 1.0

    This dataset consists of timestamps for coughs contained in files extracted from the ESC-50 and FSDKaggle2018 datasets. <strong>Citation</strong> This dataset was generated and used in our paper: Mahmoud Abdelkhalek, Jinyi Qiu, Michelle Hernandez, Alper Bozkurt, Edgar Lobaton, “Investigating the Relationship between Cough Detection and Sampling Frequency for Wearable Devices,” in the 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2021. Please cite this paper if you use the <em>timestamps.csv </em>file in your work. <strong>Generation</strong> The cough timestamps given in the <em>timestamps.csv</em> file were generated using the cough templates given in figures 3 and 4 in the paper: A. H. Morice, G. A. Fontana, M. G. Belvisi, S. S. Birring, K. F. Chung, P. V. Dicpinigaitis, J. A. Kastelik, L. P. McGarvey, J. A. Smith, M. Tatar, J. Widdicombe, "ERS guidelines on the assessment of cough", European Respiratory Journal 2007 29: 1256-1276; DOI: 10.1183/09031936.00101006 More precisely, 40 files labelled as "coughing" in the ESC-50 dataset and 273 files labelled as "Cough" in the FSDKaggle2018 dataset were manually searched using Audacity for segments of audio that closely matched the aforementioned templates, both visually and auditorily. Some files did not contain any coughs at all, while other files contained several coughs. Therefore, only the files that contained at least one cough are included in the <em>coughs</em> directory. In total, the timestamps of 768 cough segments with lengths ranging from 0.2 seconds to 0.9 seconds were extracted. <strong>Description</strong> The audio files are presented in <em>wav</em> format in the <em>coughs</em> directory. Files named in the general format of "*-*-*-24.wav" were extracted from the ESC-50 dataset, while all other files were extracted from the FSDKaggle2018 dataset. The <em>timestamps.csv</em> file contains the timestamps for the coughs and it consists of four columns: <pre><code>file_name,cough_number,start_time,end_time</code></pre> Files in the <em>file_name</em> column can be found in the <em>coughs</em> directory. <em>cough_number</em> refers to the index of the cough in the corresponding file. For example, if the file <em>X.wav</em> contains 5 coughs, then <em>X.wav</em> will be repeated 5 times under the <em>file_name</em> column, and for each row, the <em>cough_number</em> will range from 1 to 5. <em>start_time</em> refers to the starting time of a cough segment measured in seconds, while <em>end_time</em> refers to the end time of a cough segment measured in seconds. <strong>Licensing</strong> The ESC-50 dataset as a whole is licensed under the Creative Commons Attribution-NonCommercial license. Individual files in the ESC-50 dataset are licensed under different Creative Commons licenses. For a list of these licenses, see LICENSE. The ESC-50 files in the <em>cough</em> directory are given for convenience only, and have not been modified from their original versions. To download the original files, see the ESC-50 dataset. The FSDKaggle2018 dataset as a whole is licensed under the Creative Commons Attribution 4.0 International license. Individual files in the FSDKaggle2018 dataset are licensed under different Creative Commons licenses. For a list of these licenses, see the <em>License</em> section in FSDKaggle2018. The FSDKaggle2018 files in the <em>cough</em> directory are given for convenience only, and have not been modified from their original versions. To download the original files, see the FSDKaggle2018 dataset. The <em>timestamps.csv</em> file is licensed under the Creative Commons Attribution-NonCommercial 4.0 International license.;This work was supported by the National Science Foundation under award IIS-1915599 and EEC-1160483 (ERC for ASSIST).

표/그림

0건


검색결과가 없습니다.

소프트웨어

0건


검색결과가 없습니다.