有没有相关的论文或文献参考？
这个数据集是基于什么背景创建的？
数据集的作者是谁？
能帮我联系到这个数据集的作者吗？
这个数据集如何下载？
NOBEL-PRIZE-WINNERS-DATASET-1901-2023|诺贝尔奖数据集|科学研究数据集
收藏github2024-08-14 更新2024-09-09 收录
下载链接：
https://github.com/Sirekinging/NOBEL-PRIZE-WINNERS-DATASET-1901-2023
下载链接
链接失效反馈资源简介：
该数据集包含了从1901年到2023年的诺贝尔奖得主的信息。
创建时间：
2024-08-14
原始信息汇总
NOBEL-PRIZE-WINNERS-DATASET-1901-2023
数据集概述
- 数据集名称: NOBEL-PRIZE-WINNERS-DATASET-1901-2023
- 时间范围: 1901年至2023年
- 数据类型: CSV文件
- 数据内容: 诺贝尔奖得主的相关数据
数据来源
- 原始数据集: 可从Original Csv file (zip folder)文件中下载
- 数据集来源: Kaggle
附加文件
- 分析报告: 包含在My Analysis文件中
AI搜集汇总
数据集介绍
构建方式
该数据集的构建基于从1901年至2023年的诺贝尔奖得主信息，通过系统性地收集与整理，确保了数据的全面性与准确性。数据来源自Kaggle平台，经过严格的筛选与验证，最终形成了一个结构化的CSV文件。这一过程不仅涵盖了获奖者的基本信息，还包括了奖项类别、获奖年份等关键数据，为后续的分析提供了坚实的基础。
特点
NOBEL-PRIZE-WINNERS-DATASET-1901-2023数据集以其跨越百年的历史深度和详尽的获奖者信息著称。该数据集不仅包含了每位获奖者的姓名、国籍、出生日期等基本信息，还详细记录了他们所获得的奖项类别及获奖年份。这种多维度的信息结构使得该数据集在历史研究、社会科学分析以及教育领域具有广泛的应用潜力。
使用方法
使用该数据集时，用户首先需下载包含所有数据的CSV文件，该文件可在提供的链接中获取。随后，用户可以通过Python等编程语言进行数据加载与处理，利用Pandas等数据分析工具进行深入的数据探索与可视化。此外，数据集还附带了详细的分析报告，为用户提供了初步的数据洞察，便于快速上手与进一步研究。
背景与挑战
背景概述
诺贝尔奖作为全球最具声望的科学和文学奖项之一，自1901年设立以来，一直是学术界和公众关注的焦点。NOBEL-PRIZE-WINNERS-DATASET-1901-2023数据集汇集了从1901年至2023年间所有诺贝尔奖得主的详细信息，涵盖了物理学、化学、医学、文学、和平及经济学等多个领域。该数据集由Mohamed Mostafa在Kaggle平台上发布，旨在为研究人员和数据科学家提供一个全面的历史数据资源，以探索诺贝尔奖的历史趋势、获奖者的背景及其对科学和社会的影响。
当前挑战
该数据集在构建过程中面临多方面的挑战。首先，数据的时间跨度长达一个多世纪，涵盖了多个领域的获奖者，确保数据的完整性和准确性是一项艰巨的任务。其次，由于历史资料的多样性和来源的复杂性，数据整合和清洗过程需要高度的专业知识和细致的工作。此外，数据集的分析和解读也面临挑战，如如何从庞大的数据中提取有意义的模式和趋势，以及如何确保分析结果的客观性和科学性，都是研究人员需要克服的问题。
常用场景
经典使用场景
诺贝尔奖得主数据集（1901-2023）广泛应用于历史学、社会学和科学史研究领域。研究者利用该数据集分析诺贝尔奖得主的国籍、性别、年龄分布及其在不同学科领域的获奖情况，从而揭示科学进步和社会变迁的规律。此外，该数据集还常用于教育研究，探讨获奖者的教育背景与成就之间的关系，为教育政策制定提供参考。
解决学术问题
该数据集解决了多个学术研究问题，包括但不限于：1) 科学进步与社会背景的关联性；2) 性别和地域对科学成就的影响；3) 教育背景与科研成就之间的因果关系。通过分析诺贝尔奖得主的数据，学者们能够更深入地理解科学发展的历史脉络和社会因素，为未来的科学政策和教育改革提供理论支持。
衍生相关工作
基于诺贝尔奖得主数据集，许多相关研究工作得以展开。例如，有学者利用该数据集进行跨学科分析，探讨不同学科之间的交叉影响；还有研究聚焦于特定国家或地区的科学发展，分析其在全球科学版图中的地位。此外，该数据集还激发了关于科学奖励制度和科学伦理的讨论，推动了科学社会学的研究进展。
以上内容由AI搜集并总结生成
数据主题
5,000+
优质数据集
54 个
任务类型
进入经典数据集
热门数据集
VoxBox
VoxBox是一个大规模语音语料库，由多样化的开源数据集构建而成，用于训练文本到语音（TTS）系统。
github 收录
ChemBL
ChemBL是一个化学信息学数据库，包含大量生物活性数据，涵盖了药物发现和开发过程中的各种化学实体。数据集包括化合物的结构信息、生物活性数据、靶点信息等。
www.ebi.ac.uk 收录
Canadian Census
**Overview** The data package provides demographics for Canadian population groups according to multiple location categories: Forward Sortation Areas (FSAs), Census Metropolitan Areas (CMAs) and Census Agglomerations (CAs), Federal Electoral Districts (FEDs), Health Regions (HRs) and provinces. **Description** The data are available through the Canadian Census and the National Household Survey (NHS), separated or combined. The main demographic indicators provided for the population groups, stratified not only by location but also for the majority by demographical and socioeconomic characteristics, are population number, females and males, usual residents and private dwellings. The primary use of the data at the Health Region level is for health surveillance and population health research. Federal and provincial departments of health and human resources, social service agencies, and other types of government agencies use the information to monitor, plan, implement and evaluate programs to improve the health of Canadians and the efficiency of health services. Researchers from various fields use the information to conduct research to improve health. Non-profit health organizations and the media use the health region data to raise awareness about health, an issue of concern to all Canadians. The Census population counts for a particular geographic area representing the number of Canadians whose usual place of residence is in that area, regardless of where they happened to be on Census Day. Also included are any Canadians who were staying in that area on Census Day and who had no usual place of residence elsewhere in Canada, as well as those considered to be 'non-permanent residents'. National Household Survey (NHS) provides demographic data for various levels of geography, including provinces and territories, census metropolitan areas/census agglomerations, census divisions, census subdivisions, census tracts, federal electoral districts and health regions. In order to provide a comprehensive overview of an area, this product presents data from both the NHS and the Census. NHS data topics include immigration and ethnocultural diversity; aboriginal peoples; education and labor; mobility and migration; language of work; income and housing. 2011 Census data topics include population and dwelling counts; age and sex; families, households and marital status; structural type of dwelling and collectives; and language. The data are collected for private dwellings occupied by usual residents. A private dwelling is a dwelling in which a person or a group of persons permanently reside. Information for the National Household Survey does not include information for collective dwellings. Collective dwellings are dwellings used for commercial, institutional or communal purposes, such as a hotel, a hospital or a work camp. **Benefits** - Useful for canada public health stakeholders, for public health specialist or specialized public and other interested parties. for health surveillance and population health research. for monitoring, planning, implementation and evaluation of health-related programs. media agencies may use the health regions data to raise awareness about health, an issue of concern to all canadians. giving the addition of longitude and latitude in some of the datasets the data can be useful to transpose the values into geographical representations. the fields descriptions along with the dataset description are useful for the user to quickly understand the data and the dataset. **License Information** The use of John Snow Labs datasets is free for personal and research purposes. For commercial use please subscribe to the [Data Library](https://www.johnsnowlabs.com/marketplace/) on John Snow Labs website. The subscription will allow you to use all John Snow Labs datasets and data packages for commercial purposes. **Included Datasets** - [Canadian Population and Dwelling by FSA 2011](https://www.johnsnowlabs.com/marketplace/canadian-population-and-dwelling-by-fsa-2011) - This Canadian Census dataset covers data on population, total private dwellings and private dwellings occupied by usual residents by forward sortation area (FSA). It is enriched with the percentage of the population or dwellings versus the total amount as well as the geographical area, province, and latitude and longitude. The whole Canada's population is marked as 100, referring to 100% for the percentages. - [Detailed Canadian Population Statistics by CMAs and CAs 2011](https://www.johnsnowlabs.com/marketplace/detailed-canadian-population-statistics-by-cmas-and-cas-2011) - This dataset covers the population statistics of Canada by Census Metropolitan Areas (CMAs) and Census Agglomerations (CAs). It is categorized also by citizen/immigration status, ethnic origin, religion, mobility, education, language, work, housing, income etc. There is detailed characteristics categorization within these stated categories that are in 5 layers. - [Detailed Canadian Population Statistics by FED 2011](https://www.johnsnowlabs.com/marketplace/detailed-canadian-population-statistics-by-fed-2011) - This dataset covers the population statistics of Canada from 2011 by Federal Electoral District of 2013 Representation Order. It is categorized also by citizen/immigration status, ethnic origin, religion, mobility, education, language, work, housing, income etc. There is detailed characteristics categorization within these stated categories that are in 5 layers. - [Detailed Canadian Population Statistics by Health Region 2011](https://www.johnsnowlabs.com/marketplace/detailed-canadian-population-statistics-by-health-region-2011) - This dataset covers the population statistics of Canada by health region. It is categorized also by citizen/immigration status, ethnic origin, religion, mobility, education, language, work, housing, income etc. There is detailed characteristics categorization within these stated categories that are in 5 layers. - [Detailed Canadian Population Statistics by Province 2011](https://www.johnsnowlabs.com/marketplace/detailed-canadian-population-statistics-by-province-2011) - This dataset covers the population statistics of Canada by provinces and territories. It is categorized also by citizen/immigration status, ethnic origin, religion, mobility, education, language, work, housing, income etc. There is detailed characteristics categorization within these stated categories that are in 5 layers. **Data Engineering Overview** **We deliver high-quality data** - Each dataset goes through 3 levels of quality review - 2 Manual reviews are done by domain experts - Then, an automated set of 60+ validations enforces every datum matches metadata & defined constraints - Data is normalized into one unified type system - All dates, unites, codes, currencies look the same - All null values are normalized to the same value - All dataset and field names are SQL and Hive compliant - Data and Metadata - Data is available in both CSV and Apache Parquet format, optimized for high read performance on distributed Hadoop, Spark & MPP clusters - Metadata is provided in the open Frictionless Data standard, and its every field is normalized & validated - Data Updates - Data updates support replace-on-update: outdated foreign keys are deprecated, not deleted **Our data is curated and enriched by domain experts** Each dataset is manually curated by our team of doctors, pharmacists, public health & medical billing experts: - Field names, descriptions, and normalized values are chosen by people who actually understand their meaning - Healthcare & life science experts add categories, search keywords, descriptions and more to each dataset - Both manual and automated data enrichment supported for clinical codes, providers, drugs, and geo-locations - The data is always kept up to date – even when the source requires manual effort to get updates - Support for data subscribers is provided directly by the domain experts who curated the data sets - Every data source’s license is manually verified to allow for royalty-free commercial use and redistribution. **Need Help?** If you have questions about our products, contact us at [info@johnsnowlabs.com](mailto:info@johnsnowlabs.com).
Databricks 收录
中国近海台风路径集合数据集(1945-2024)
1945-2024年度，中国近海台风路径数据集，包含每个台风的真实路径信息、台风强度、气压、中心风速、移动速度、移动方向。 数据源为获取温州台风网(http://www.wztf121.com/)的真实观测路径数据，经过处理整合后形成文件，如使用csv文件需使用文本编辑器打开浏览，否则会出现乱码，如要使用excel查看数据，请使用xlsx的格式。
国家海洋科学数据中心 收录
glaive-function-calling-openai
该数据集包含用于训练和评估语言模型在函数调用能力上的对话示例。数据集包括一个完整的函数调用示例集合和一个精选的子集，专注于最常用的函数。数据集的结构包括一个完整的数据集和几个测试子集。每个记录都是一个JSON对象，包含对话消息、可用函数定义和实际的函数调用。数据集还包括最常用的函数分布信息，并提供了加载和评估数据集的示例代码。
huggingface 收录