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4类3,895篇法学论文数据库: 内容,作者,关键词 3,895 Legal Theses Data: Author, Content, Key Words by 4 Categories

Name	n3_chennan_CS_falvwenzhang_66law_cn
Data	65.78M (+ 0B)
Tables	3 (+ 0)
Columns	21 (+ 0)
Table Rows	7,794 (+ 0)
Media	0B (+ 0B)
Files	0 (+ 0)
Last Commit	2023-06-19 18:36:38 (+ 169 d)

这是一个包含有3,895篇法学论文的数据库。每篇论文包含有标题，内容，导读，发表时间，作者，关键词和浏览次数。该法学论文数据库中的所有论文分为4大类（律师实务论文、法学基础理论论文、民商经济法论文和刑法刑事诉讼法论文）。

From this China legal theses database, there are 3,895 legal theses with title, content, guide, release time, author, key words and views in each. These theses are categorized into 4 classifications, such as lawyer's practical paper, thesis of basic theory of law, civil & commercial economic law paper and penal & criminal procedure law paper. There are 3 tables in the whole China legal theses data set.

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/falvwenzhang_1/ (By Table)

Tables + Columns
Media Files
Updates
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Tables & Columns

Tables	Rows	Columns	Non-empty
category_1	4	title	100%
category_1_x_falvwenzhang	3,895	category_1_id	100%
category_1_x_falvwenzhang	3,895	falvwenzhang_id	100%
falvwenzhang	3,895	title	100%
		neirong	84.44%
		daodu	84.47%
		fabiaoshijian	84.62%
		zuozhe	84.62%
		guanjianci	84.62%
		liulancishu	84.62%

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)	65.78M (+ 0B)	3 (+ 0)	21 (+ 0)	7,794 (+ 0)	0B (+ 0B)	0 (+ 0)
2023-01-01 (+ 95 d)	65.78M (+ 0B)	3 (+ 0)	21 (+ 0)	7,794 (+ 0)	0B (+ 0B)	0 (+ 0)
2022-09-27 (+ 271 d)	65.78M (+ 0B)	3 (+ 0)	21 (+ 0)	7,794 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-12-30 (+ 115 d)	65.78M (+ 0B)	3 (+ 0)	21 (+ 0)	7,794 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-09-05 (+ 150 d)	65.78M (+ 0B)	3 (+ 0)	21 (+ 0)	7,794 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-04-08 (+ 68 d)	65.78M (+ 0B)	3 (+ 0)	21 (+ 0)	7,794 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-01-29 (+ 120 d)	65.78M (+ 0B)	3 (+ 0)	21 (+ 0)	7,794 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-10-01 (+ 38 d)	65.78M (+ 0B)	3 (+ 0)	21 (+ 0)	7,794 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-08-23 (+ 141 d)	65.78M (+ 0B)	3 (+ 0)	21 (+ 0)	7,794 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-04-04 (+ 196 d)	65.78M (+ 0B)	3 (+ 0)	21 (+ 0)	7,794 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-09-21 (+ 197 d)	65.78M (+ 0B)	3 (+ 0)	21 (+ 0)	7,794 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-03-07 (+ 43 d)	65.78M (+ 0B)	3 (+ 0)	21 (+ 0)	7,794 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-01-23 (+ 44 d)	65.78M (+ 0B)	3 (+ 0)	21 (+ 0)	7,794 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-12-09 (+ 29 d)	65.78M (+ 0B)	3 (+ 0)	21 (+ 0)	7,794 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-11-09 (+ 27 d)	65.78M (- 0.98M)	3 (+ 0)	21 (+ 0)	7,794 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-10-13 (+ 29 d)	66.77M (+ 0B)	3 (+ 0)	21 (+ 0)	7,794 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-09-13 (+ 34 d)	66.77M (+ 0B)	3 (+ 0)	21 (+ 0)	7,794 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-08-09 (+ 27 d)	66.77M (+ 0B)	3 (+ 0)	21 (+ 0)	7,794 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-07-12 (+ 31 d)	66.77M (+ 0B)	3 (+ 0)	21 (+ 0)	7,794 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-06-10 (+ 31 d)	66.77M (+ 0B)	3 (+ 0)	21 (+ 0)	7,794 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-05-10	66.77M	3	21	7,794	0B	0

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