首页/数据集/Description of star levels and interpretation from SLIPTA checklist.

Description of star levels and interpretation from SLIPTA checklist.

Figshare2026-03-04 更新2026-04-28 收录

数据链接：

https://figshare.com/articles/dataset/_p_Description_of_star_levels_and_interpretation_from_SLIPTA_checklist_p_/31504034 数据链接链接失效反馈

官方服务：

资源简介：

Description of star levels and interpretation from SLIPTA checklist.

应用场景：

创建时间：

2026-03-04

相关数据集

Critical appraisal of animal studies.

实验室质量评估

心血管病理生理研究

Study aim:+: study is focused on interpreting the relation between sympathetic activity (SNA) and diastolic dysfunction (DD); -: study is not focused on interpreting the relation between SNA and DD. C

Figshare2015-12-03 更新40

Quality of Medical Laboratories: Proficiency test for laboratories: Microbiology

实验室质量评估

微生物学熟练度测试

The Laboratory Quality Department (Sciensano) was created in 1978 by the publication of the first approval order for clinical biology laboratories. Until 1988, the department was solely responsible fo

data.europa2021-09-24 更新30

Analysis of laboratory reporting practices using a quality assessment of a 'virtual patient'. (data)

临床基因组学

实验室质量评估

Dataset for paper Analysis of laboratory reporting practices using a quality assessment of a ‘virtual patient', published in Genetics in Medicine. This dataset consists of the FASTQ, BAM, and VCF for

Zenodo2020-09-21 更新10

Results of the EQA study for laboratories performing ELISA for the serological detection of West Nile virus.

病毒血清学检测

实验室质量评估

WNV: West Nile virus; DENV: dengue virus; JEV; Japanese encephalitis virus; TBEV: tick-borne encephalitis virus; USUV: Usutu virus; Neg: negative control; Sc: Score; IgM: Immunoglobulin M; IgG: Immuno

Figshare2015-12-02 更新40

Serological characterization of the samples by NCCL and coincidence rate by participants for the Detection of IgM.

IgM抗体检测

实验室质量评估

a The cutoff was 1.00. The titers of all negative samples were smaller than 1.00 by different tests detected at NCCL (data not shown). b Positive coincidence rate of the participating labs using the s

NIAID Data Ecosystem20