Home Data By Language 中文 / Chinese 术语词汇

3,141主题280,576专业术语数据库: 名称,定义,来源,分类 280,576 Terms of Terminology Dictionary Data by 3,141 Subjects

Name	n3_lyz_termonline.cn
Data	216.14M (+ 0B)
Tables	9 (+ 0)
Columns	46 (+ 0)
Table Rows	1,093,307 (+ 0)
Media	0B (+ 0B)
Files	0 (+ 0)
Last Commit	2023-06-19 18:12:05 (+ 169 d)

该专业术语数据库是一个包含有3,141个主题下的280,576个词条的专业术语数据库。每个专业术语记录中有名称，定义，出版年，来源，英文名称，分类，主题全名，版本等。除了以上信息外，数据库中还包含有20,904个专业术语的另外一个名称，338个全名以及1,538个简写名称。这个专业术语数据库共有9个表。

This is a terminology database 280,576 records of 3,141 subjects. Each terminology record consists of name, definition, publish year, source, English name, full subject name, category, version, etc. It also has 20,904 other name of terminology, full name with 338 records and 1,538 short names. The whole terminology database totally has 9 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_lyz/terminology_database_1/ (By Table)

Tables + Columns
Media Files
Updates
Download

Tables & Columns

Tables	Rows	Columns	Non-empty
also_name	20,904	zh_also_name	84.77%
		en_also_name	15.23%
		terminology_id	100%
full_name	338	full_name	99.7%
full_name	338	terminology_id	100%
once_name	0	once_name	0%
once_name	0	terminology_id	0%
other_lang	309,629	other_lang	99.98%
other_lang	309,629	terminology_id	100%
short_name	1,538	short_name	100%
short_name	1,538	terminology_id	100%
subject	3,141	subject_name	99.97%
subject	3,141	subject_name_2	100%
terminology	280,576	name	99.99%
		definition	43.65%
		publish_year	99.97%
		source	99.97%
		en_name	98.31%
		ext_cn	99.97%
		full_subject_name	99.97%
		category	99.97%
		tw	24.05%
		version	82.28%
terminology_x_subject	283,780	terminology_id	100%
terminology_x_subject	283,780	subject_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)	216.14M (+ 0B)	9 (+ 0)	46 (+ 0)	1,093,307 (+ 0)	0B (+ 0B)	0 (+ 0)
2023-01-01 (+ 95 d)	216.14M (+ 0B)	9 (+ 0)	46 (+ 0)	1,093,307 (+ 0)	0B (+ 0B)	0 (+ 0)
2022-09-27 (+ 271 d)	216.14M (+ 0B)	9 (+ 0)	46 (+ 0)	1,093,307 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-12-30 (+ 115 d)	216.14M (+ 0B)	9 (+ 0)	46 (+ 0)	1,093,307 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-09-05 (+ 150 d)	216.14M (+ 0B)	9 (+ 0)	46 (+ 0)	1,093,307 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-04-08 (+ 68 d)	216.14M (+ 0B)	9 (+ 0)	46 (+ 0)	1,093,307 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-01-29 (+ 120 d)	216.14M (+ 0B)	9 (+ 0)	46 (+ 0)	1,093,307 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-10-01 (+ 38 d)	216.14M (+ 0B)	9 (+ 0)	46 (+ 0)	1,093,307 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-08-23 (+ 141 d)	216.14M (+ 0B)	9 (+ 0)	46 (+ 0)	1,093,307 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-04-04 (+ 196 d)	216.14M (+ 0B)	9 (+ 0)	46 (+ 0)	1,093,307 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-09-21 (+ 197 d)	216.14M (+ 0B)	9 (+ 0)	46 (+ 0)	1,093,307 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-03-07 (+ 43 d)	216.14M (+ 0B)	9 (+ 0)	46 (+ 0)	1,093,307 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-01-23 (+ 44 d)	216.14M (+ 0B)	9 (+ 0)	46 (+ 0)	1,093,307 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-12-09 (+ 29 d)	216.14M (+ 0B)	9 (+ 0)	46 (+ 0)	1,093,307 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-11-09 (+ 27 d)	216.14M (+ 152.98M)	9 (+ 0)	46 (+ 0)	1,093,307 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-10-13 (+ 29 d)	63.16M (+ 0B)	9 (+ 0)	46 (+ 0)	1,093,307 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-09-13 (+ 34 d)	63.16M (+ 0B)	9 (+ 0)	46 (+ 0)	1,093,307 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-08-09 (+ 27 d)	63.16M (+ 0B)	9 (+ 0)	46 (+ 0)	1,093,307 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-07-12 (+ 31 d)	63.16M (+ 0B)	9 (+ 0)	46 (+ 0)	1,093,307 (+ 115,392)	0B (+ 0B)	0 (+ 0)
2018-06-10 (+ 31 d)	63.16M (+ 62.59M)	9 (+ 1)	46 (+ 0)	977,915 (+ 977,578)	0B (+ 0B)	0 (+ 0)
2018-05-10	576K	8	46	337	0B	0

Download Latest Commit

In the same time, you can also access this data set via API.

Access Now!

How to use

View the page for data details.
Sign up for an account and log in.
Open Online Query to build API addresses / calls.
Open the API address / call to access the data.

FAQ

How to access the data?

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.
Why are data size increments not in line with those of number of rows?

The scanning and profiling of data size increments are done separately from those of the number of rows.