five

ORCID Public Data File 2021|学术研究数据集|研究人员信息数据集

收藏
DataCite Commons2021-10-08 更新2024-07-13 收录
学术研究
研究人员信息
下载链接:
https://orcid.figshare.com/articles/dataset/ORCID_Public_Data_File_2021/16750535
下载链接
链接失效反馈
资源简介:
These files contain a snapshot of all public data in the ORCID Registry associated with an ORCID record that was created or claimed by an individual as of October 1st, 2021. ORCID publishes this file once per year under a Creative Commons CC0 1.0 Universal public domain dedication. This means that, to the extent possible under law, ORCID has waived all copyright and related or neighbouring rights to the Public Data File. For more information on the file, see https://info.orcid.org/public-data-file-use-policy/<br><br>The file contains the public information associated with each user's ORCID record. The data is available in XML format and is further divided into separate files for easier management. One file contains the full record summary for each record. The rest of the data is divided into 11 files which contain the activities for each record including full work data.<br><br>Below is more complete description of how the data is structured.<br><br>Summaries file<br><br>Name: ORCID_2021_10_summaries.tar.gz<br>Description: Contains all the existing summaries, when extracted, it will generate the following file structure: summaries/[3 digits checksum]/[iD].xml<br>Example: If you are looking for the summary of iD '0000-0002-7869-831X', decompress the file and you will find the summary under 'summaries/31X/0000-0002-7869-831X.xml'.<br><br>Activities files<br><br>Named:<br><br>- ORCID_2021_10_activites_0.tar.gz<br>- ORCID_2021_10_activites_1.tar.gz<br>- ORCID_2021_10_activites_2.tar.gz<br>- ORCID_2021_10_activites_3.tar.gz<br>- ORCID_2021_10_activites_4.tar.gz<br>- ORCID_2021_10_activites_5.tar.gz<br>- ORCID_2021_10_activites_6.tar.gz<br>- ORCID_2021_10_activites_7.tar.gz<br>- ORCID_2021_10_activites_8.tar.gz<br>- ORCID_2021_10_activites_9.tar.gz<br>- ORCID_2021_10_activites_X.tar.gz<br><br>Description: Consists of 11 .tar.gz files, each file contains the public activities that belongs to an iD that contains a given checksum. The file hierarchy is as follows:<br>[checksum]/[3 digits checksum]/[iD]/[activity type]/[iD]_[activity_type]_[putcode].xml<br><br><b>Examples</b>:<br><br>If you are looking for the public activities that belong to `0000-0002-7869-831X:<br><br>Decompress the file 'ORCID_2021_10_activites_X.tar.gz'.<br>You will find all the public activities under 'X/31X/0000-0002-7869-831X/' which are then sub-divided in folders for each activity type.<br><br>If you are looking for all the employments that belong to '0000-0002-7869-831X':<br><br>Decompress the file 'ORCID_2021_10_activites_X.tar.gz',<br>Navigate to 'X/31X/0000-0002-7869-831X/employments'.<br><br>If you are looking for the employment with put-code '7923980' that belongs to '0000-0002-7869-831X' :<br><br>Decompress the file 'ORCID_2021_10_activites_X.tar.gz'.<br>You will find that employment under 'X/31X/0000-0002-7869-831X/employments/0000-0002-7869-831X_employments_7923980.xml'.<br><b>Companion Resources:</b><br><br>https://github.com/ORCID/orcid-model/tree/master/src/main/resources/common_3.0<br><br>2020: File: https://doi.org/10.23640/07243.13066970.v12019: File: https://doi.org/10.23640/07243.9988322.v2<br>2018 File: https://doi.org/10.23640/07243.7234028.v12017 File: https://doi.org/10.6084/m9.figshare.5479792.v12016 File: https://doi.org/10.6084/m9.figshare.41340272015 File: https://dx.doi.org/10.6084/m9.figshare.15827052014 File: http://dx.doi.org/10.14454/07243.2014.0012013 File: http://dx.doi.org/10.14454/07243.2013.001
提供机构:
ORCID
创建时间:
2021-10-08
用户留言
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?
点击留言
数据主题
具身智能
数据集  4098个
机构  8个
大模型
数据集  439个
机构  10个
无人机
数据集  37个
机构  6个
指令微调
数据集  36个
机构  6个
蛋白质结构
数据集  50个
机构  8个
空间智能
数据集  21个
机构  5个
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

中国空气质量数据集(2014-2020年)

数据集中的空气质量数据类型包括PM2.5, PM10, SO2, NO2, O3, CO, AQI,包含了2014-2020年全国360个城市的逐日空气质量监测数据。监测数据来自中国环境监测总站的全国城市空气质量实时发布平台,每日更新。数据集的原始文件为CSV的文本记录,通过空间化处理生产出Shape格式的空间数据。数据集包括CSV格式和Shape格式两数数据格式。

国家地球系统科学数据中心 收录

FAOSTAT Agricultural Data

FAOSTAT Agricultural Data 是由联合国粮食及农业组织(FAO)提供的全球农业数据集。该数据集涵盖了农业生产、贸易、价格、土地利用、水资源、气候变化、人口统计等多个方面的详细信息。数据包括了全球各个国家和地区的农业统计数据,旨在为政策制定者、研究人员和公众提供全面的农业信息。

www.fao.org 收录

RadDet

RadDet是一个包含11种雷达类别的数据集,包括6种新的低概率干扰(LPI)多相码(P1, P2, P3, P4, Px, Zadoff-Chu)和一种新的宽带调频连续波(FMCW)。数据集覆盖500 MHz频段,包含40,000个雷达帧,分为训练集、验证集和测试集。数据集在两种不同的雷达环境中提供:稀疏数据集(RadDet-1T)和密集数据集(RadDet-9T)。

github 收录

Plant-Diseases

Dataset for Plant Diseases containg variours Plant Disease

kaggle 收录

LibriSpeech

LibriSpeech 是一个大约 1000 小时的 16kHz 英语朗读语音语料库,由 Vassil Panayotov 在 Daniel Povey 的协助下编写。数据来自 LibriVox 项目的已读有声读物,并经过仔细分割和对齐。

OpenDataLab 收录