Data from: Illuminating the base of the annelid tree using transcriptomics
收藏poi
本项目收集国内POI兴趣点,当前版本数据来自于openstreetmap。
github 收录
PDT Dataset
PDT数据集是由山东计算机科学中心(国家超级计算济南中心)和齐鲁工业大学(山东省科学院)联合开发的无人机目标检测数据集,专门用于检测树木病虫害。该数据集包含高分辨率和低分辨率两种版本,共计5775张图像,涵盖了健康和受病虫害影响的松树图像。数据集的创建过程包括实地采集、数据预处理和人工标注,旨在为无人机在农业中的精准喷洒提供高精度的目标检测支持。PDT数据集的应用领域主要集中在农业无人机技术,旨在提高无人机在植物保护中的目标识别精度,解决传统检测模型在实际应用中的不足。
arXiv 收录
中指数据库(物业版)
物业版解决物业企业“找项目”、“找行业和企业数据"的迫切需求,提供高效的市场拓展渠道、最新行业动态、竞品企业的多维度数据,助力企业科学决策。
西部数据交易中心 收录
TSOD10K
TSOD10K是首个大规模的交通显著目标检测数据集,由湖南师范大学信息科学与工程学院、南开大学人工智能学院和湖南大学机器人学院共同创建。该数据集包含13753张车辆捕获的图像,并带有像素级的精确注释。TSOD10K覆盖了各种真实世界交通场景,包括城市交叉口、高速公路、乡村道路和停车场,涵盖了雨、雪、雾、晴、低光等不同的天气/光照组合。数据集旨在支持动态风险分层下游服务,特别编码了视觉显著性和隐含的风险语义。
arXiv 收录
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.
DataCite Commons 收录