埃博拉疫情对几内亚科纳克里结核病护理的影响-35011

数据集获取（Figshare）

• 源站标题：Effect of Ebola outbreak on tuberculosis care in Conakry, Guinea
• DOI：10.6084/m9.figshare.3407938.v2
• 发布日期：2016-06-01
• 文件数：4 个
• 文件总体积：1.14 MB
• 源站页面：https://figshare.com/articles/dataset/S1_TBHW_FINAL_dta/3407938

命令行下载

curl -L -o "S1_TBHW_FINAL.dta" "https://ndownloader.figshare.com/files/5322742"
curl -L -o "S2_TB_EVD_PATIENTS_FINAL.dta" "https://ndownloader.figshare.com/files/5322745"
curl -L -o "S3_TBSTOCK_FINAL.dta" "https://ndownloader.figshare.com/files/5322748"
curl -L -o "S4_TBPRESUM_FINAL.dta" "https://ndownloader.figshare.com/files/5322751"

文件清单

• S1_TBHW_FINAL.dta（33.87 KB）
• S2_TB_EVD_PATIENTS_FINAL.dta（1.09 MB）
• S3_TBSTOCK_FINAL.dta（5.82 KB）
• S4_TBPRESUM_FINAL.dta（8.26 KB）

文件总体积 1.14 MB（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

S1_TBHW_FINAL.rec. This is the database about
health workers before and during Ebola Outbreak in Conakry, Guinea, 2014.

S2_TB_EVD_PATIENTS_FINAL.dta.
This is the
database about Tuberculosis patients before and during Ebola Outbreak in Conakry, Guinea, 2014…

S3_TBSTOCK_FINAL.rec. This is the database about
stockouts of Tuberculosis drugs before and during Ebola Outbreak in Conakry, Guinea, 2014…

S4_TBPRESUM_FINAL.rec. This is the database about
Tuberculosis presumptive cases before and during Ebola Outbreak in Conakry, Guinea, 2014…

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.3407938.v2（source: https://figshare.com/articles/dataset/S1_TBHW_FINAL_dta/3407938）。