Scientific Data <p><em>Scientific Data</em>&nbsp;is an open access journal dedicated to data, publishing descriptions of research datasets and articles on research data sharing from all areas of natural sciences, medicine, engineering and social sciences. It aims to&nbsp;advance&nbsp;the sharing and reuse of scientific data, promote wider data sharing and reuse, and to credit those that share.</p> <p>Find out more about the key principles that drive&nbsp;<em>Scientific Data</em></p> <p><em>Scientific Data</em>&nbsp;primarily publishes Data Descriptors. These provide&nbsp;detailed descriptions of research datasets, including the methods used to collect the data and technical analyses supporting the quality of the measurements. Data Descriptors focus on helping others reuse data, rather than testing hypotheses, or presenting new interpretations, methods or in-depth analyses.</p> <p><em>Scientific Data</em>&nbsp;also welcomes submissions describing analyses or meta-analyses of existing data, and original articles on systems, technologies and techniques that advance data sharing and reuse to support reproducible research.</p> <p><em>Scientific Data</em>&nbsp;uses a thorough peer-review process that evaluates the rigour and quality of the experiments used to generate the data and the completeness of the description of the data. The actual data are stored in one or more public, community-recognized repositories, and release of the data is verified as a condition of publication.</p> <p>Data Descriptors may describe data from new or published studies, and can be published alongside traditional research works. Data Descriptors that describe previously published datasets should&nbsp;provide new content sufficient to merit further publication: for example, updates to important datasets, fuller release of a dataset, or additional information that aids reuse. Please see our policies on&nbsp;complementary&nbsp;and&nbsp;prior&nbsp;publication.</p> http://feeds.nature.com/sdata/rss/current Nature Publishing Group en © 2024 Macmillan Publishers Limited, part of Springer Nature. All rights reserved. Scientific Data © 2024 Macmillan Publishers Limited, part of Springer Nature. All rights reserved. permissions@nature.com Scientific Data https://www.nature.com/uploads/product/sdata/rss.png http://feeds.nature.com/sdata/rss/current <![CDATA[Will we ever be able to accurately predict solubility?]]> https://www.nature.com/articles/s41597-024-03105-6 Scientific Data, Published online: 18 March 2024; doi:10.1038/s41597-024-03105-6

Will we ever be able to accurately predict solubility?]]>
P. LlompartC. MinolettiS. BaybekovD. HorvathG. MarcouA. Varnek doi:10.1038/s41597-024-03105-6 Scientific Data, Published online: 2024-03-18; | doi:10.1038/s41597-024-03105-6 2024-03-18 Scientific Data 10.1038/s41597-024-03105-6 https://www.nature.com/articles/s41597-024-03105-6
<![CDATA[Mapping of secondary forest age in China using stacked generalization and Landsat time series]]> https://www.nature.com/articles/s41597-024-03133-2 Scientific Data, Published online: 16 March 2024; doi:10.1038/s41597-024-03133-2

Mapping of secondary forest age in China using stacked generalization and Landsat time series]]>
Shaoyu ZhangHanzeyu XuAixia LiuShuhua QiBisong HuMin HuangJin Luo doi:10.1038/s41597-024-03133-2 Scientific Data, Published online: 2024-03-16; | doi:10.1038/s41597-024-03133-2 2024-03-16 Scientific Data 10.1038/s41597-024-03133-2 https://www.nature.com/articles/s41597-024-03133-2
<![CDATA[A synthetic digital city dataset for robustness and generalisation of depth estimation models]]> https://www.nature.com/articles/s41597-024-03025-5 Scientific Data, Published online: 16 March 2024; doi:10.1038/s41597-024-03025-5

A synthetic digital city dataset for robustness and generalisation of depth estimation models]]>
Jihao LiJincheng HuYanjun HuangZheng ChenBingzhao GaoJingjing JiangYuanjian Zhang doi:10.1038/s41597-024-03025-5 Scientific Data, Published online: 2024-03-16; | doi:10.1038/s41597-024-03025-5 2024-03-16 Scientific Data 10.1038/s41597-024-03025-5 https://www.nature.com/articles/s41597-024-03025-5
<![CDATA[Engagnition: A multi-dimensional dataset for engagement recognition of children with autism spectrum disorder]]> https://www.nature.com/articles/s41597-024-03132-3 Scientific Data, Published online: 15 March 2024; doi:10.1038/s41597-024-03132-3

Engagnition: A multi-dimensional dataset for engagement recognition of children with autism spectrum disorder]]>
Won KimMinwoo SeongKyung-Joong KimSeungJun Kim doi:10.1038/s41597-024-03132-3 Scientific Data, Published online: 2024-03-15; | doi:10.1038/s41597-024-03132-3 2024-03-15 Scientific Data 10.1038/s41597-024-03132-3 https://www.nature.com/articles/s41597-024-03132-3
<![CDATA[HYADES - A Global Archive of Annual Maxima Daily Precipitation]]> https://www.nature.com/articles/s41597-024-03109-2 Scientific Data, Published online: 15 March 2024; doi:10.1038/s41597-024-03109-2

HYADES - A Global Archive of Annual Maxima Daily Precipitation]]>
Mijael Rodrigo Vargas GodoySimon Michael PapalexiouYannis Markonis doi:10.1038/s41597-024-03109-2 Scientific Data, Published online: 2024-03-15; | doi:10.1038/s41597-024-03109-2 2024-03-15 Scientific Data 10.1038/s41597-024-03109-2 https://www.nature.com/articles/s41597-024-03109-2
<![CDATA[Transcriptomic profiling of <i>Poa pratensis</i> L. under treatment of various phytohormones]]> https://www.nature.com/articles/s41597-024-03119-0 Scientific Data, Published online: 15 March 2024; doi:10.1038/s41597-024-03119-0

Transcriptomic profiling of Poa pratensis L. under treatment of various phytohormones]]>
Poa pratensis L. under treatment of various phytohormones]]> Chen MengXiaomei PengYu ZhangGarcía-Caparrós PedroYumeng LiYanni ZhangYuanwen DuanXudong Sun doi:10.1038/s41597-024-03119-0 Scientific Data, Published online: 2024-03-15; | doi:10.1038/s41597-024-03119-0 2024-03-15 Scientific Data 10.1038/s41597-024-03119-0 https://www.nature.com/articles/s41597-024-03119-0
<![CDATA[High quality assemblies of four indigenous chicken genomes and related functional data resources]]> https://www.nature.com/articles/s41597-024-03126-1 Scientific Data, Published online: 15 March 2024; doi:10.1038/s41597-024-03126-1

High quality assemblies of four indigenous chicken genomes and related functional data resources]]>
Siwen WuKun WangTengfei DouSisi YuanShixiong YanZhiqiang XuYong LiuZonghui JianJingying ZhaoRouhan ZhaoXiannian ZiDahai GuLixian LiuQihua LiDong-Dong WuJunjing JiaZhengchang SuChangrong Ge doi:10.1038/s41597-024-03126-1 Scientific Data, Published online: 2024-03-15; | doi:10.1038/s41597-024-03126-1 2024-03-15 Scientific Data 10.1038/s41597-024-03126-1 https://www.nature.com/articles/s41597-024-03126-1
<![CDATA[A Georeferenced Dataset for Mapping and Assessing Subgrade Defects in China’s High-Speed Railways]]> https://www.nature.com/articles/s41597-024-03112-7 Scientific Data, Published online: 14 March 2024; doi:10.1038/s41597-024-03112-7

A Georeferenced Dataset for Mapping and Assessing Subgrade Defects in China’s High-Speed Railways]]>
Jinchen WangLuqi WangYinsheng ZhangJingyu ZhangJianlin LiSen Li doi:10.1038/s41597-024-03112-7 Scientific Data, Published online: 2024-03-14; | doi:10.1038/s41597-024-03112-7 2024-03-14 Scientific Data 10.1038/s41597-024-03112-7 https://www.nature.com/articles/s41597-024-03112-7