NortheastChinaSoybeanYield20m: an annual soybean yield dataset at 20&thinsp;m in Northeast China from 2019 to 2023

Xu, Jingyuan; Du, Xin; Dong, Taifeng; Li, Qiangzi; Zhang, Yuan; Wang, Hongyan; Xiao, Jing; Zhang, Jiashu; Shen, Yunqi; Dong, Yong

doi:10.5194/essd-18-2413-2026

Articles | Volume 18, issue 3

https://doi.org/10.5194/essd-18-2413-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-18-2413-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 3

Data description article

|

02 Apr 2026

Data description article |

| 02 Apr 2026

NortheastChinaSoybeanYield20m: an annual soybean yield dataset at 20 m in Northeast China from 2019 to 2023

Jingyuan Xu, Xin Du, Taifeng Dong, Qiangzi Li, Yuan Zhang, Hongyan Wang, Jing Xiao, Jiashu Zhang, Yunqi Shen, and Yong Dong

Viewed

Total article views: 4,081 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
2,490	1,420	171	4,081	139	191

HTML: 2,490
PDF: 1,420
XML: 171
Total: 4,081
BibTeX: 139
EndNote: 191

Views and downloads (calculated since 08 Jan 2025)

Month	HTML	PDF	XML	Total
Jan 2025	147	17	5	169
Feb 2025	68	13	0	81
Mar 2025	112	25	3	140
Apr 2025	88	43	5	136
May 2025	51	23	2	76
Jun 2025	46	16	6	68
Jul 2025	63	19	7	89
Aug 2025	86	29	4	119
Sep 2025	288	11	1	300
Oct 2025	38	14	0	52
Nov 2025	54	47	4	105
Dec 2025	33	76	3	112
Jan 2026	73	66	4	143
Feb 2026	38	61	2	101
Mar 2026	63	91	6	160
Apr 2026	508	473	32	1,013
May 2026	234	136	11	381
Jun 2026	42	22	5	69
Jul 2026	93	152	5	250
Aug 2026	158	19	9	186
Sep 2026	207	67	57	331

Cumulative views and downloads (calculated since 08 Jan 2025)

Month	HTML	PDF	XML	Total
Jan 2025	147	17	5	169
Feb 2025	68	13	0	81
Mar 2025	112	25	3	140
Apr 2025	88	43	5	136
May 2025	51	23	2	76
Jun 2025	46	16	6	68
Jul 2025	63	19	7	89
Aug 2025	86	29	4	119
Sep 2025	288	11	1	300
Oct 2025	38	14	0	52
Nov 2025	54	47	4	105
Dec 2025	33	76	3	112
Jan 2026	73	66	4	143
Feb 2026	38	61	2	101
Mar 2026	63	91	6	160
Apr 2026	508	473	32	1,013
May 2026	234	136	11	381
Jun 2026	42	22	5	69
Jul 2026	93	152	5	250
Aug 2026	158	19	9	186
Sep 2026	207	67	57	331

Viewed (geographical distribution)

Total article views: 4,081 (including HTML, PDF, and XML) Thereof 3,871 with geography defined and 210 with unknown origin.

Country	#	Views	%

1

1

Cited

Saved (final revised paper)

Latest update: 30 Sep 2026

Short summary

This study proposed a 20 m soybean yield dataset in Northeast China (NortheastChinaSoybeanYield20m) from 2019 to 2023 using a hybrid framework coupling crop growth model with deep learning algorithm. Stable results were achieved through the years. The overall accuracy of the dataset was 287.44 and 272.36 kg ha^–1 in the root mean squared error for field and regional scale, respectively. The study satisfied the urgent demands for precise control of crop yield information.