S2 File - 一氧化碳暴露诊断方法范围综述补充文件
范围综述补充文件,汇总非故意非火灾相关一氧化碳暴露的测量方法与诊断阈值(2%—15%)。

基本信息
资源简介
S2 File - 一氧化碳暴露诊断方法范围综述补充文件
【一句话概览】
本数据集是 figshare 公开数据集,收录 1 个文件、合计 36.47 KB,主题涵盖 carbon monoxide exposure、carbon monoxide levels、9 clinical guidelines、71 research studies、standardised diagnostic levels,源站分类为 Biochemistry、Medicine、Microbiology、Cell Biology,CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《S2 File -》。源站首次发布:2025-02-05。
【数据内容】
源站原始描述:Objective To undertake a scoping review to identify methods and diagnostic levels used in determining unintentional, non-fire related carbon monoxide exposure. Design Online databases and grey literature were searched from 1946 to 2023 identifying 80 papers where carbon monoxide levels were reported. Results 80 papers were included; 71 research studies and 9 clinical guidelines. Four methods were described: blood carboxyhaemoglobin (arterial or venous blood analysis), carbon monoxide oximetry (S…
【数据结构与技术规格】
文件数 1 个,合计 36.47 KB。pone.0300989.s006.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,36.47 KB。数据集 DOI:10.1371/journal.pone.0300989.s006。
【主题与分类】
源站学科分类:Biochemistry、Medicine、Microbiology、Cell Biology、Genetics、Biotechnology。主题标签:carbon monoxide exposure、carbon monoxide levels、9 clinical guidelines、71 research studies、standardised diagnostic levels、enable consistent diagnosis、diagnostic levels used、5 %) papers、diagnostic levels、clinical research。
【适用方向】
源站学科分类标注为 Biochemistry、Medicine、Microbiology、Cell Biology、Genetics、Biotechnology。
【获取与许可】
源站页面:https://plos.figshare.com/articles/dataset/S2_File_-/28354268
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Moss, Phil; Matthews, Natasha; McDonald, Rosalie; Jarman, Heather (2025). S2 File -. PLOS ONE. Dataset
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。
暂未开放公开下载
无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取(Figshare)
- 源站标题:S2 File -
- DOI:10.1371/journal.pone.0300989.s006
- 发布日期:2025-02-05
- 文件数:1 个
- 文件总体积:36.47 KB
- 源站页面:https://plos.figshare.com/articles/dataset/S2_File_-/28354268
命令行下载
curl -L -o "pone.0300989.s006.xlsx" "https://ndownloader.figshare.com/files/52156880"
文件清单
pone.0300989.s006.xlsx(36.47 KB)
文件总体积 36.47 KB(源站 API 实测)。
数据加载示例(图像类)
from PIL import Image
import glob, os
files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)
# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path) # 要求 子目录=类别
目录组织与标注格式以源站说明和下载后实际文件为准。
数据说明
Objective
To undertake a scoping review to identify methods and diagnostic levels used in determining unintentional, non-fire related carbon monoxide exposure.
Design
Online databases and grey literature were searched from 1946 to 2023 identifying 80 papers where carbon monoxide levels were reported.
Results
80 papers were included; 71 research studies and 9 clinical guidelines. Four methods were described: blood carboxyhaemoglobin (arterial or venous blood analysis), carbon monoxide oximetry (SpO2), expired carbon monoxide, and ambient carbon monoxide sampling. Blood analysis methods predominated (60.0% of the papers). Multiple methods of measurement were used in 26 (32.5%) of the papers. Diagnostic levels for carboxyhaemoglobin were described in 54 (67.5%) papers, ranging between 2% and 15%. 26 (32.5%) papers reported diagnostic levels that were adjusted for the smoking status of the patient.
Conclusions
Four methods were found for use in different settings. Variability in diagnostic thresholds impairs diagnostic accuracy. Agreement on standardised diagnostic levels is required to enable consistent diagnosis of unintentional, non-fire related carbon monoxide exposure.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0300989.s006(source: https://plos.figshare.com/articles/dataset/S2_File_-/28354268)。
数据缺失?
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