ITABAG: 3D structures of macromolecules related to human health
收藏UniProt
UniProt(Universal Protein Resource)是全球公认的蛋白质序列与功能信息权威数据库,由欧洲生物信息学研究所(EBI)、瑞士生物信息学研究所(SIB)和美国蛋白质信息资源中心(PIR)联合运营。该数据库以其广度和深度兼备的蛋白质信息资源闻名,整合了实验验证的高质量数据与大规模预测的自动注释内容,涵盖从分子序列、结构到功能的全面信息。UniProt核心包括注释详尽的UniProtKB知识库(分为人工校验的Swiss-Prot和自动生成的TrEMBL),以及支持高效序列聚类分析的UniRef和全局蛋白质序列归档的UniParc。其卓越的数据质量和多样化的检索工具,为基础研究和药物研发提供了无可替代的支持,成为生物学研究中不可或缺的资源。
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Population and Housing Census of 2007 - Ethiopia
Geographic coverage --------------------------- National coverage Analysis unit --------------------------- Household Person Housing unit Universe --------------------------- The census has counted people on dejure and defacto basis. The dejure population comprises all the persons who belong to a given area at a given time by virtue of usual residence, while under defacto approach people were counted as the residents of the place where they found. In the census, a person is said to be a usual resident of a household (and hence an area) if he/she has been residing in the household continuously for at least six months before the census day or intends to reside in the household for six months or longer. Thus, visitors are not included with the usual (dejure) population. Homeless persons were enumerated in the place where they spent the night on the enumeration day. The 2007 census counted foreign nationals who were residing in the city administration. On the other hand all Ethiopians living abroad were not counted. Kind of data --------------------------- Census/enumeration data [cen] Mode of data collection --------------------------- Face-to-face [f2f] Research instrument --------------------------- Two type sof questionnaires were used to collect census data: i) Short questionnaire ii) Long questionnaire Unlike the previous censuses, the contents of the short and long questionnaires were similar both for the urban and rural areas as well as for the entire city. But the short and the long questionnaires differ by the number of variables they contained. That is, the short questionnaire was used to collect basic data on population characteristics, such as population size, sex, age, language, ethnic group, religion, orphanhood and disability. Whereas the long questionnaire includes information on marital status, education, economic activity, migration, fertility, mortality, as well as housing stocks and conditions in addition to those questions contained in a short questionnaire.
catalog.ihsn.org 收录
Tropicos
Tropicos是一个全球植物名称数据库,包含超过130万种植物的名称、分类信息、分布数据、图像和参考文献。该数据库由密苏里植物园维护,旨在为植物学家、生态学家和相关领域的研究人员提供全面的植物信息。
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HazyDet
HazyDet是由解放军工程大学等机构创建的一个大规模数据集,专门用于雾霾场景下的无人机视角物体检测。该数据集包含383,000个真实世界实例,收集自自然雾霾环境和正常场景中人工添加的雾霾效果,以模拟恶劣天气条件。数据集的创建过程结合了深度估计和大气散射模型,确保了数据的真实性和多样性。HazyDet主要应用于无人机在恶劣天气条件下的物体检测,旨在提高无人机在复杂环境中的感知能力。
arXiv 收录
Infrared Thermal Image Dataset of High Voltage Electrical Power Equipment under Different Operating Conditions
Recognizing high voltage power equipment in electrical substations is the fundamental platform for effective condition monitoring of electrical power system. It enables proper identification and analysis of anomalies within the equipment, especially when in operation. The result such investigation can be applied for effective real-time measurement, control and protection schemes in the network. The use of visual images for this purpose would be limited during poor lighting conditions. However, Infrared (IR) images of the equipment are invariant to poor illumination condition. Hence, we have acquired the thermographic images of the high voltage power equipment using the portable professional FLIR C5 Infrared camera at different times of the day and load conditions. The dataset contains 5 categories of high voltages equipment common to most air-insulated electrical power substation at 132kV level, namely: circuit breakers, power transformers, surge arresters, disconnectors, and wave traps. The number of IR images for each class of equipment are: circuit breakers 203, power transformers 178, surge arresters 181, disconnectors 180, and wave traps 153. The IR images are 640 x 480 pixel RGB images captured using the rainbow color palette and properly segmented in labeled folders. The color bar in each IR image identifies the thermal range used during its acquisition. The dataset can be used for implementing novel research in computer vision based deep learning models, especially in object recognition, identification, fault classification or detection algorithms. The thermal profile of the equipment in the dataset could be applied for detection of hotspots and other related anomalies.
DataCite Commons 收录