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Scientific Data is a peer-reviewed journal published by Springer Nature, covering Genomics and Phylogenetic Studies, Chromosomal and Genetic Variations, Remote Sensing in Agriculture. Over its lifetime it has published 8,486 papers, which have received 296,896 citations.
| Publisher | Springer Nature |
|---|---|
| Reference style | Superscript numbered (Nature) Superscript — small raised numerals in the text 1. Smith, A., Jones, B. & Lee, C. A representative article title. Scientific Data 12, 45–58 (2023).
Formats any DOI in Scientific Data style. No sign-up. |
| Publishes research in | Genomics and Phylogenetic Studies Chromosomal and Genetic Variations Remote Sensing in Agriculture Climate variability and models Species Distribution and Climate Change |
| ISSN | 2052-4463 |
| Citation impact (2-yr) | 5.17 |
| h-index | 208 |
| i10-index | 3,453 |
| Article processing charge | $1,990 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Warsaw University of Technology |
| Journal website | www.nature.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Radiomics features (RFs) studies have showed limitations in the reproducibility of RFs in different acquisition settings. To date, reproducibility studies using CT images mainly rely on phantoms, due to the harness of patient exposure to X-rays. The provided CadAIver dataset has the aims of evaluating how CT scanner parameters effect radiomics features on cadaveric donor.…
Accurate mapping and monitoring of tropical forests aboveground biomass (AGB) is crucial to design effective carbon emission reduction strategies and improving our understanding of Earth's carbon cycle. However, existing large-scale maps of tropical forest AGB generated through combinations of Earth Observation (EO) and forest inventory data show markedly divergent estimates, even after accounting for reported…
Neuroblastoma cell lines are an important and cost-effective model used to study oncogenic drivers of the disease. While many of these cell lines have been previously characterized with SNP, methylation, and/or mRNA expression microarrays, there has not been an effort to comprehensively sequence these cell lines. Here, we present raw whole transcriptome data generated by…
Genetic data are a crucial and exponentially growing resource across all biological sciences, yet curated databases are scarce. The widespread occurrence of sequence and (meta)data errors in public repositories calls for comprehensive improvements of curation protocols leading to robust research and downstream analyses. We collated and curated all available GenBank cytochrome-b sequences for amphibians, a…
Toxicogenomics (TGx) approaches are increasingly applied to gain insight into the possible toxicity mechanisms of engineered nanomaterials (ENMs). Omics data can be valuable to elucidate the mechanism of action of chemicals and to develop predictive models in toxicology. While vast amounts of transcriptomics data from ENM exposures have already been accumulated, a unified, easily accessible…
