Name | n3_chennan_skin_disease_derm101_com |
---|---|
Data | 448K (+ 0B) |
Tables | 4 (+ 0) |
Columns | 16 (+ 0) |
Table Rows | 444 (+ 0) |
Media | 3.11M (+ 0B) |
Files | 221 (+ 0) |
Last Commit | 2023-06-19 18:36:38 (+ 169 d) |
This skin diseases database has 221 records by 2 categories (A Clinical Atlas of 101 Common Skin Diseases & Therapeutic Strategies in Dermatology). Each record consists of title and content. The skin diseases data includes skin disease images in the 3.11M media set. The whole skin disorders API consists of 4 tables.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
category_1 | 2 | title |
100%
|
category_1_x_skin_disease | 221 | category_1_id |
100%
|
skin_disease_id |
100%
|
||
skin_disease | 221 | title |
100%
|
content |
90.95%
|
Size (Bytes) | Files |
---|---|
3.11M | 221 |
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 448K (+ 0B) | 4 (+ 0) | 16 (+ 0) | 444 (+ 0) | 3.11M (+ 0B) | 221 (+ 0) |
2023-01-01 (+ 95 d) | 448K (+ 0B) | 4 (+ 0) | 16 (+ 0) | 444 (+ 0) | 3.11M (+ 0B) | 221 (+ 0) |
2022-09-27 (+ 271 d) | 448K (+ 0B) | 4 (+ 0) | 16 (+ 0) | 444 (+ 0) | 3.11M (+ 0B) | 221 (+ 0) |
2021-12-30 (+ 115 d) | 448K (+ 0B) | 4 (+ 0) | 16 (+ 0) | 444 (+ 0) | 3.11M (+ 0B) | 221 (+ 0) |
2021-09-05 (+ 150 d) | 448K (+ 0B) | 4 (+ 0) | 16 (+ 0) | 444 (+ 0) | 3.11M (+ 0B) | 221 (+ 0) |
2021-04-08 (+ 68 d) | 448K (+ 0B) | 4 (+ 0) | 16 (+ 0) | 444 (+ 0) | 3.11M (+ 0B) | 221 (+ 0) |
2021-01-29 (+ 120 d) | 448K (+ 0B) | 4 (+ 0) | 16 (+ 0) | 444 (+ 0) | 3.11M (+ 0B) | 221 (+ 0) |
2020-10-01 (+ 38 d) | 448K (+ 0B) | 4 (+ 0) | 16 (+ 0) | 444 (+ 0) | 3.11M (+ 0B) | 221 (+ 0) |
2020-08-23 (+ 141 d) | 448K (+ 0B) | 4 (+ 0) | 16 (+ 0) | 444 (+ 0) | 3.11M (+ 0B) | 221 (+ 0) |
2020-04-04 (+ 196 d) | 448K (+ 0B) | 4 (+ 0) | 16 (+ 0) | 444 (+ 0) | 3.11M (+ 0B) | 221 (+ 0) |
2019-09-21 (+ 197 d) | 448K (+ 0B) | 4 (+ 0) | 16 (+ 0) | 444 (+ 0) | 3.11M (+ 0B) | 221 (+ 0) |
2019-03-07 (+ 43 d) | 448K (+ 0B) | 4 (+ 0) | 16 (+ 0) | 444 (+ 0) | 3.11M (+ 0B) | 221 (+ 0) |
2019-01-23 (+ 44 d) | 448K (+ 0B) | 4 (+ 0) | 16 (+ 0) | 444 (+ 0) | 3.11M (+ 0B) | 221 (+ 0) |
2018-12-09 (+ 29 d) | 448K (+ 0B) | 4 (+ 0) | 16 (+ 0) | 444 (+ 0) | 3.11M (+ 0B) | 221 (+ 0) |
2018-11-09 (+ 27 d) | 448K (+ 80K) | 4 (+ 0) | 16 (+ 0) | 444 (+ 0) | 3.11M (+ 0B) | 221 (+ 0) |
2018-10-13 (+ 29 d) | 368K (+ 0B) | 4 (+ 0) | 16 (+ 0) | 444 (+ 0) | 3.11M (+ 0B) | 221 (+ 0) |
2018-09-13 (+ 34 d) | 368K (+ 0B) | 4 (+ 0) | 16 (+ 0) | 444 (+ 0) | 3.11M (+ 0B) | 221 (+ 0) |
2018-08-09 (+ 27 d) | 368K (+ 0B) | 4 (+ 0) | 16 (+ 0) | 444 (+ 0) | 3.11M (+ 0B) | 221 (+ 0) |
2018-07-12 (+ 31 d) | 368K (+ 0B) | 4 (+ 0) | 16 (+ 0) | 444 (+ 0) | 3.11M (+ 0B) | 221 (+ 0) |
2018-06-10 (+ 31 d) | 368K (+ 0B) | 4 (+ 0) | 16 (+ 0) | 444 (+ 0) | 3.11M (+ 0B) | 221 (+ 0) |
2018-05-10 (+ 28 d) | 368K (+ 0B) | 4 (+ 0) | 16 (+ 0) | 444 (+ 0) | 3.11M (+ 0B) | 221 (+ 0) |
2018-04-11 (+ 38 d) | 368K (+ 0B) | 4 (+ 0) | 16 (+ 0) | 444 (+ 0) | 3.11M (+ 0B) | 221 (+ 0) |
2018-03-03 (+ 35 d) | 368K (+ 0B) | 4 (+ 0) | 16 (+ 0) | 444 (+ 0) | 3.11M (+ 0B) | 221 (+ 0) |
2018-01-27 | 368K | 4 | 16 | 444 | 3.11M | 221 |
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.