mtAtp6-alnFLYTREE
收藏LFW (Labeled Faces in the Wild)
Labeled Faces in the Wild,是一个人脸照片数据库,旨在研究无约束的人脸识别问题。该数据集包含从网络收集的超过 13,000 张人脸图像。每张脸都标有图中人物的名字。照片中的 1680 人在数据集中有两张或更多张不同的照片。这些人脸的唯一限制是它们是由 Viola-Jones 人脸检测器检测到的。更多细节可以在下面的技术报告中找到。
OpenDataLab 收录
PrimerBank
PrimerBank is a public resource for PCR primers. These primers are designed for gene expression detection or quantification (real-time PCR). PrimerBank contains over 306,800 primers covering most known human and mouse genes.
国家生物信息中心 收录
市规划和自然资源局-深圳市建设项目用地批准信息(划拨)
市规划和自然资源局-深圳市建设项目用地批准信息(划拨)
深圳市政府数据开放平台 收录
Supplementary Material for: Endoscopic Laryngopharyngeal Surgery Combined with Endoscopic Submucosal Dissection as a Treatment Option for Superficial Hypopharyngeal Cancer with Suspected Synchronous Lymph Node Metastasis
We report 4 cases of hypopharyngeal cancer preoperatively suspected with synchronous lymph node metastases. Pathologic lymph node metastasis was confirmed in three of the four cases. All 4 cases underwent endoscopic laryngopharyngeal surgery (ELPS) combined with endoscopic submucosal dissection (ESD) and subsequent lymph node dissection as an optional treatment rather than the standard treatment. Peroral resection for primary site was selected because of the expected decline in quality of life (QoL) after radical surgery. Among 4 patients, one developed local recurrence; however, the other three remained recurrence-free and survived without any additional treatment. Furthermore, the patient who developed local recurrence had a recurrence-free survival for more than 5 years, with additional chemoradiation therapy. No disorders in speech, swallowing, or breathing was observed during the follow-up period. ELPS combined with ESD is generally indicated for laryngopharyngeal cancer without synchronous lymph node metastasis. However, this can be a treatment option for patients may wish to preserve a greater QoL after treatment. In the future, when more data on the results and long-term prognosis of this treatment are accumulated, it may be possible to discuss its validity further.
DataCite Commons 收录
中国逐日格点降水数据集V2(1960–2024,0.1°)
CHM_PRE V2数据集是一套高精度的中国大陆逐日格点降水数据集。该数据集基于1960年至今共3476个观测站的长期日降水观测数据,并纳入11个降水相关变量,用于表征降水的相关性。数据集采用改进的反距离加权方法,并结合基于机器学习的LGBM算法构建。CHM_PRE V2与现有的格点降水数据集(包括CHM_PRE V1、GSMaP、IMERG、PERSIANN-CDR和GLDAS)表现出良好的时空一致性。数据集基于63,397个高密度自动雨量站2015–2019年的观测数据进行验证,发现该数据集显著提高了降水测量精度,降低了降水事件的高估,为水文建模和气候评估提供了可靠的基础。CHM_PRE V2 数据集提供分辨率为0.1°的逐日降水数据,覆盖整个中国大陆(18°N–54°N,72°E–136°E)。该数据集涵盖1960–2024年,并将每年持续更新。日值数据以NetCDF格式提供,为了方便用户,我们还提供NetCDF和GeoTIFF格式的年度和月度总降水数据。
国家青藏高原科学数据中心 收录
