Name | n3_chennan_CS_xuezhe_nssd_org |
---|---|
Data | 237.94M (+ 0B) |
Tables | 1 (+ 0) |
Columns | 7 (+ 0) |
Table Rows | 1,605,390 (+ 0) |
Media | 0B (+ 0B) |
Files | 0 (+ 0) |
Last Commit | 2023-06-19 18:36:38 (+ 169 d) |
这是一个单表结构的学术专家信息数据库,包含有1,605,390专家学者,每个专家学者里提供有作者、机构和发文量。
In the academic specialists database, there are 1,605,390 records with author, organization and the amount of papers publish in each. The whole China scholars data set has only 1 table.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
zhuanjiaxuezhe | 1,605,390 | zuozhe |
100%
|
jigou |
100%
|
||
fawenliang |
100%
|
No media sets.
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 237.94M (+ 0B) | 1 (+ 0) | 7 (+ 0) | 1,605,390 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2023-01-01 (+ 95 d) | 237.94M (+ 0B) | 1 (+ 0) | 7 (+ 0) | 1,605,390 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2022-09-27 (+ 271 d) | 237.94M (+ 0B) | 1 (+ 0) | 7 (+ 0) | 1,605,390 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-12-30 (+ 115 d) | 237.94M (+ 0B) | 1 (+ 0) | 7 (+ 0) | 1,605,390 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-09-05 (+ 150 d) | 237.94M (+ 0B) | 1 (+ 0) | 7 (+ 0) | 1,605,390 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-04-08 (+ 68 d) | 237.94M (+ 0B) | 1 (+ 0) | 7 (+ 0) | 1,605,390 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-01-29 (+ 120 d) | 237.94M (+ 0B) | 1 (+ 0) | 7 (+ 0) | 1,605,390 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-10-01 (+ 38 d) | 237.94M (+ 0B) | 1 (+ 0) | 7 (+ 0) | 1,605,390 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-08-23 (+ 141 d) | 237.94M (+ 0B) | 1 (+ 0) | 7 (+ 0) | 1,605,390 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-04-04 (+ 196 d) | 237.94M (+ 0B) | 1 (+ 0) | 7 (+ 0) | 1,605,390 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-09-21 (+ 197 d) | 237.94M (+ 0B) | 1 (+ 0) | 7 (+ 0) | 1,605,390 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-03-07 (+ 43 d) | 237.94M (+ 0B) | 1 (+ 0) | 7 (+ 0) | 1,605,390 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-01-23 (+ 44 d) | 237.94M (+ 0B) | 1 (+ 0) | 7 (+ 0) | 1,605,390 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-12-09 (+ 29 d) | 237.94M (+ 0B) | 1 (+ 0) | 7 (+ 0) | 1,605,390 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-11-09 (+ 27 d) | 237.94M (- 7.06M) | 1 (+ 0) | 7 (+ 0) | 1,605,390 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-10-13 (+ 29 d) | 245M (+ 0B) | 1 (+ 0) | 7 (+ 0) | 1,605,390 (+ 20) | 0B (+ 0B) | 0 (+ 0) |
2018-09-13 (+ 34 d) | 245M (+ 0B) | 1 (+ 0) | 7 (+ 0) | 1,605,370 (+ 6) | 0B (+ 0B) | 0 (+ 0) |
2018-08-09 (+ 27 d) | 245M (+ 0B) | 1 (+ 0) | 7 (+ 0) | 1,605,364 (+ 1,753) | 0B (+ 0B) | 0 (+ 0) |
2018-07-12 (+ 31 d) | 245M (+ 0B) | 1 (+ 0) | 7 (+ 0) | 1,603,611 (+ 1,133) | 0B (+ 0B) | 0 (+ 0) |
2018-06-10 | 245M | 1 | 7 | 1,602,478 | 0B | 0 |
Contact us for pricing to download the latest commit / release of this database.
In the same time, you can also access this data set via API.
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.
The scanning and profiling of data size increments are done separately from those of the number of rows.
Subscribe to be notified of major data releases and updates.
STAY IN THE LOOP.