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18,910中药材数据库: 功能主治, 用法用量,来源,摘录 18,910 Chinese Traditional Medicinal Crops API: Function, Usage, Dosage, Source, Extract

Name	n3_chennan_CS_zhongyaocai_pharmnet_com_cn
Data	61.25M (+ 0B)
Tables	3 (+ 0)
Columns	34 (+ 0)
Table Rows	37,843 (+ 0)
Media	0B (+ 0B)
Files	0 (+ 0)
Last Commit	2023-06-19 18:36:38 (+ 169 d)

这是一个包含有18,910种中药材的信息数据库。每种中药材记录中有原形态，生境分布，性味，归经，功能主治，用法用量，摘录等。整个中药材信息数据库共有3个表。

This Chinese traditional medicinal crops database has 18,910 records with original form, habitat distribution, sexual flavour, meridian tropism, functional indications, usage and dosage, excerpt and etc. in each. The whole Chinese traditional medicinal crops API totally has 3 tables.

Data Samples

Main List (for Desktop / for Mobile) / JSON / XML / Excel / CSV (Download CSV) / View by Table

Data APIs

http://n3.datasn.io/data/api/v1/n3_chennan/zhongyaocai_daquan_1/ (By Table)

Tables + Columns
Media Files
Updates
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Tables & Columns

Tables	Rows	Columns	Non-empty
zhongyaocai	18,910	xingwei	83.35%
		zhailu	92.59%
		laiyuan	92.42%
		biaming	68.33%
		yongwenming	26.61%
		pinyinming	86.29%
		chuchu	3.66%
		gejia_lunshu	23.77%
		zhuyi	18.13%
		yongfa_yongliang	82.36%
		gongneng_zhuzhi	92.55%
		guijing	30.35%
		paozhi	9.9%
		jianbie	6.27%
		yaoli_zuoying	13.56%
		huaxue_chengfen	29.07%
		xingzhuang	25.67%
		shangjing_fenbu	67.01%
		yuanxingtai	64.43%
		title	100%
category_1	23	title	100%
category_1_x_zhongyaocai	18,910	category_1_id	100%
category_1_x_zhongyaocai	18,910	zhongyaocai_id	100%

Notes:

Meta columns id and ts are not shown here, but included in columns total.
Some statistical or memo columns are not shown here, but included in columns total.
Non-empty percentage indicates the percent of values that are non-empty for that particular column.

Media Sets

No media sets.

Commits / Updates

Time	Data	Tables	Columns	Rows	Media	Files
2023-06-19 (+ 169 d)	61.25M (+ 0B)	3 (+ 0)	34 (+ 0)	37,843 (+ 0)	0B (+ 0B)	0 (+ 0)
2023-01-01 (+ 95 d)	61.25M (+ 0B)	3 (+ 0)	34 (+ 0)	37,843 (+ 0)	0B (+ 0B)	0 (+ 0)
2022-09-27 (+ 271 d)	61.25M (+ 0B)	3 (+ 0)	34 (+ 0)	37,843 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-12-30 (+ 115 d)	61.25M (+ 0B)	3 (+ 0)	34 (+ 0)	37,843 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-09-05 (+ 150 d)	61.25M (+ 0B)	3 (+ 0)	34 (+ 0)	37,843 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-04-08 (+ 68 d)	61.25M (+ 0B)	3 (+ 0)	34 (+ 0)	37,843 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-01-29 (+ 120 d)	61.25M (+ 0B)	3 (+ 0)	34 (+ 0)	37,843 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-10-01 (+ 38 d)	61.25M (+ 0B)	3 (+ 0)	34 (+ 0)	37,843 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-08-23 (+ 141 d)	61.25M (+ 0B)	3 (+ 0)	34 (+ 0)	37,843 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-04-04 (+ 196 d)	61.25M (+ 0B)	3 (+ 0)	34 (+ 0)	37,843 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-09-21 (+ 197 d)	61.25M (+ 0B)	3 (+ 0)	34 (+ 0)	37,843 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-03-07 (+ 43 d)	61.25M (+ 0B)	3 (+ 0)	34 (+ 0)	37,843 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-01-23 (+ 44 d)	61.25M (+ 0B)	3 (+ 0)	34 (+ 0)	37,843 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-12-09 (+ 29 d)	61.25M (+ 0B)	3 (+ 0)	34 (+ 0)	37,843 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-11-09 (+ 27 d)	61.25M (+ 55.11M)	3 (+ 0)	34 (+ 0)	37,843 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-10-13 (+ 29 d)	6.14M (+ 0B)	3 (+ 0)	34 (+ 0)	37,843 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-09-13 (+ 34 d)	6.14M (+ 0B)	3 (+ 0)	34 (+ 0)	37,843 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-08-09	6.14M	3	34	37,843	0B	0

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Select a membership plan and sign up. Return to this page, click Online Query to access the API query maker. Create and open an API call to acquire the data.
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The scanning and profiling of data size increments are done separately from those of the number of rows.