The Revised Teachers’ Attitude toward Inclusion Scale (TAIS), a cultural validation on a sample of Romanian teachers|教育数据集|包容性教育数据集
收藏Google Scholar
Google Scholar是一个学术搜索引擎,旨在检索学术文献、论文、书籍、摘要和文章等。它涵盖了广泛的学科领域,包括自然科学、社会科学、艺术和人文学科。用户可以通过关键词搜索、作者姓名、出版物名称等方式查找相关学术资源。
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全国 1∶200 000 数字地质图(公开版)空间数据库
As the only one of its kind, China National Digital Geological Map (Public Version at 1∶200 000 scale) Spatial Database (CNDGM-PVSD) is based on China' s former nationwide measured results of regional geological survey at 1∶200 000 scale, and is also one of the nationwide basic geosciences spatial databases jointly accomplished by multiple organizations of China. Spatially, it embraces 1 163 geological map-sheets (at scale 1: 200 000) in both formats of MapGIS and ArcGIS, covering 72% of China's whole territory with a total data volume of 90 GB. Its main sources is from 1∶200 000 regional geological survey reports, geological maps, and mineral resources maps with an original time span from mid-1950s to early 1990s. Approved by the State's related agencies, it meets all the related technical qualification requirements and standards issued by China Geological Survey in data integrity, logic consistency, location acc racy, attribution fineness, and collation precision, and is hence of excellent and reliable quality. The CNDGM-PVSD is an important component of China' s national spatial database categories, serving as a spatial digital platform for the information construction of the State's national economy, and providing informationbackbones to the national and provincial economic planning, geohazard monitoring, geological survey, mineral resources exploration as well as macro decision-making.
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LUNA16
LUNA16(肺结节分析)数据集是用于肺分割的数据集。它由 1,186 个肺结节组成,在 888 次 CT 扫描中进行了注释。
OpenDataLab 收录
DFDC(Deepfake Detection Challenge)
DFDC (Deepfake检测挑战) 是一个用于deepface检测的数据集,由100,000多个视频组成。 DFDC数据集由两个版本组成: 预览数据集。有5k视频。具有两种面部修饰算法。 完整数据集,包含124k个视频。具有八种面部修饰算法
OpenDataLab 收录
MedDialog
MedDialog数据集(中文)包含了医生和患者之间的对话(中文)。它有110万个对话和400万个话语。数据还在不断增长,会有更多的对话加入。原始对话来自好大夫网。
github 收录