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Genome-wide siRNA screen of genes regulating the LPS-induced NF-κB and TNF-α responses in mouse macrophages.

Scientific data

Li N, Katz S, Dutta B, Benet ZL, Sun J, Fraser ID.
PMID: 28248925
Sci Data. 2017 Mar 01;4:170008. doi: 10.1038/sdata.2017.8.

The mammalian innate immune system senses many bacterial stimuli through the toll-like receptor (TLR) family. Activation of the TLR4 receptor by bacterial lipopolysaccharide (LPS) is the most widely studied TLR pathway due to its central role in host responses...

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Li N, Katz S, Dutta B, et al. Genome-wide siRNA screen of genes regulating the LPS-induced NF-κB and TNF-α responses in mouse macrophages. Sci Data. 2017;4:170008doi: 10.1038/sdata.2017.8.
Li, N., Katz, S., Dutta, B., Benet, Z. L., Sun, J., & Fraser, I. D. (2017). Genome-wide siRNA screen of genes regulating the LPS-induced NF-κB and TNF-α responses in mouse macrophages. Scientific data, 4170008. https://doi.org/10.1038/sdata.2017.8
Li, Ning, et al. "Genome-wide siRNA screen of genes regulating the LPS-induced NF-κB and TNF-α responses in mouse macrophages." Scientific data vol. 4 (2017): 170008. doi: https://doi.org/10.1038/sdata.2017.8
Li N, Katz S, Dutta B, Benet ZL, Sun J, Fraser ID. Genome-wide siRNA screen of genes regulating the LPS-induced NF-κB and TNF-α responses in mouse macrophages. Sci Data. 2017 Mar 01;4:170008. doi: 10.1038/sdata.2017.8. PMID: 28248925; PMCID: PMC5332015.
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Massively parallel recordings in macaque motor cortex during an instructed delayed reach-to-grasp task.

Scientific data

Brochier T, Zehl L, Hao Y, Duret M, Sprenger J, Denker M, Grün S, Riehle A.
PMID: 29633986
Sci Data. 2018 Apr 10;5:180055. doi: 10.1038/sdata.2018.55.

We publish two electrophysiological datasets recorded in motor cortex of two macaque monkeys during an instructed delayed reach-to-grasp task, using chronically implanted 10-by-10 Utah electrode arrays. We provide a) raw neural signals (sampled at 30 kHz), b) time stamps...

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Brochier T, Zehl L, Hao Y, et al. Massively parallel recordings in macaque motor cortex during an instructed delayed reach-to-grasp task. Sci Data. 2018;5:180055doi: 10.1038/sdata.2018.55.
Brochier, T., Zehl, L., Hao, Y., Duret, M., Sprenger, J., Denker, M., Grün, S., & Riehle, A. (2018). Massively parallel recordings in macaque motor cortex during an instructed delayed reach-to-grasp task. Scientific data, 5180055. https://doi.org/10.1038/sdata.2018.55
Brochier, Thomas, et al. "Massively parallel recordings in macaque motor cortex during an instructed delayed reach-to-grasp task." Scientific data vol. 5 (2018): 180055. doi: https://doi.org/10.1038/sdata.2018.55
Brochier T, Zehl L, Hao Y, Duret M, Sprenger J, Denker M, Grün S, Riehle A. Massively parallel recordings in macaque motor cortex during an instructed delayed reach-to-grasp task. Sci Data. 2018 Apr 10;5:180055. doi: 10.1038/sdata.2018.55. PMID: 29633986; PMCID: PMC5892370.
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The Alexandria library, a quantum-chemical database of molecular properties for force field development.

Scientific data

Ghahremanpour MM, van Maaren PJ, van der Spoel D.
PMID: 29633987
Sci Data. 2018 Apr 10;5:180062. doi: 10.1038/sdata.2018.62.

Data quality as well as library size are crucial issues for force field development. In order to predict molecular properties in a large chemical space, the foundation to build force fields on needs to encompass a large variety of...

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Ghahremanpour MM, van Maaren PJ, van der Spoel D. The Alexandria library, a quantum-chemical database of molecular properties for force field development. Sci Data. 2018;5:180062doi: 10.1038/sdata.2018.62.
Ghahremanpour, M. M., van Maaren, P. J., & van der Spoel, D. (2018). The Alexandria library, a quantum-chemical database of molecular properties for force field development. Scientific data, 5180062. https://doi.org/10.1038/sdata.2018.62
Ghahremanpour, Mohammad M, et al. "The Alexandria library, a quantum-chemical database of molecular properties for force field development." Scientific data vol. 5 (2018): 180062. doi: https://doi.org/10.1038/sdata.2018.62
Ghahremanpour MM, van Maaren PJ, van der Spoel D. The Alexandria library, a quantum-chemical database of molecular properties for force field development. Sci Data. 2018 Apr 10;5:180062. doi: 10.1038/sdata.2018.62. PMID: 29633987; PMCID: PMC5892371.
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SuperDRUG2: a one stop resource for approved/marketed drugs.

Nucleic acids research

Siramshetty VB, Eckert OA, Gohlke BO, Goede A, Chen Q, Devarakonda P, Preissner S, Preissner R.
PMID: 29140469
Nucleic Acids Res. 2018 Jan 04;46:D1137-D1143. doi: 10.1093/nar/gkx1088.

Regular monitoring of drug regulatory agency web sites and similar resources for information on new drug approvals and changes to legal status of marketed drugs is impractical. It requires navigation through several resources to find complete information about a...

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Siramshetty VB, Eckert OA, Gohlke BO, et al. SuperDRUG2: a one stop resource for approved/marketed drugs. Nucleic Acids Res. 2018;46:D1137-D1143doi: 10.1093/nar/gkx1088.
Siramshetty, V. B., Eckert, O. A., Gohlke, B. O., Goede, A., Chen, Q., Devarakonda, P., Preissner, S., & Preissner, R. (2018). SuperDRUG2: a one stop resource for approved/marketed drugs. Nucleic acids research, 46D1137-D1143. https://doi.org/10.1093/nar/gkx1088
Siramshetty, Vishal B, et al. "SuperDRUG2: a one stop resource for approved/marketed drugs." Nucleic acids research vol. 46 (2018): D1137-D1143. doi: https://doi.org/10.1093/nar/gkx1088
Siramshetty VB, Eckert OA, Gohlke BO, Goede A, Chen Q, Devarakonda P, Preissner S, Preissner R. SuperDRUG2: a one stop resource for approved/marketed drugs. Nucleic Acids Res. 2018 Jan 04;46:D1137-D1143. doi: 10.1093/nar/gkx1088. PMID: 29140469; PMCID: PMC5753395.
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Longitudinal test-retest neuroimaging data from healthy young adults in southwest China.

Scientific data

Liu W, Wei D, Chen Q, Yang W, Meng J, Wu G, Bi T, Zhang Q, Zuo XN, Qiu J.
PMID: 28195583
Sci Data. 2017 Feb 14;4:170017. doi: 10.1038/sdata.2017.17.

Multimodal magnetic resonance imaging (mMRI) has been widely used to map the structure and function of the human brain, as well as its behavioral associations. However, to date, a large sample with a long-term longitudinal design and a narrow...

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Liu W, Wei D, Chen Q, et al. Longitudinal test-retest neuroimaging data from healthy young adults in southwest China. Sci Data. 2017;4:170017doi: 10.1038/sdata.2017.17.
Liu, W., Wei, D., Chen, Q., Yang, W., Meng, J., Wu, G., Bi, T., Zhang, Q., Zuo, X. N., & Qiu, J. (2017). Longitudinal test-retest neuroimaging data from healthy young adults in southwest China. Scientific data, 4170017. https://doi.org/10.1038/sdata.2017.17
Liu, Wei, et al. "Longitudinal test-retest neuroimaging data from healthy young adults in southwest China." Scientific data vol. 4 (2017): 170017. doi: https://doi.org/10.1038/sdata.2017.17
Liu W, Wei D, Chen Q, Yang W, Meng J, Wu G, Bi T, Zhang Q, Zuo XN, Qiu J. Longitudinal test-retest neuroimaging data from healthy young adults in southwest China. Sci Data. 2017 Feb 14;4:170017. doi: 10.1038/sdata.2017.17. PMID: 28195583; PMCID: PMC5308199.
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ProteomicsDB.

Nucleic acids research

Schmidt T, Samaras P, Frejno M, Gessulat S, Barnert M, Kienegger H, Krcmar H, Schlegl J, Ehrlich HC, Aiche S, Kuster B, Wilhelm M.
PMID: 29106664
Nucleic Acids Res. 2018 Jan 04;46:D1271-D1281. doi: 10.1093/nar/gkx1029.

ProteomicsDB (https://www.ProteomicsDB.org) is a protein-centric in-memory database for the exploration of large collections of quantitative mass spectrometry-based proteomics data. ProteomicsDB was first released in 2014 to enable the interactive exploration of the first draft of the human proteome. To...

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Schmidt T, Samaras P, Frejno M, et al. ProteomicsDB. Nucleic Acids Res. 2018;46:D1271-D1281doi: 10.1093/nar/gkx1029.
Schmidt, T., Samaras, P., Frejno, M., Gessulat, S., Barnert, M., Kienegger, H., Krcmar, H., Schlegl, J., Ehrlich, H. C., Aiche, S., Kuster, B., & Wilhelm, M. (2018). ProteomicsDB. Nucleic acids research, 46D1271-D1281. https://doi.org/10.1093/nar/gkx1029
Schmidt, Tobias, et al. "ProteomicsDB." Nucleic acids research vol. 46 (2018): D1271-D1281. doi: https://doi.org/10.1093/nar/gkx1029
Schmidt T, Samaras P, Frejno M, Gessulat S, Barnert M, Kienegger H, Krcmar H, Schlegl J, Ehrlich HC, Aiche S, Kuster B, Wilhelm M. ProteomicsDB. Nucleic Acids Res. 2018 Jan 04;46:D1271-D1281. doi: 10.1093/nar/gkx1029. PMID: 29106664; PMCID: PMC5753189.
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High-resolution gridded population datasets for Latin America and the Caribbean in 2010, 2015, and 2020.

Scientific data

Sorichetta A, Hornby GM, Stevens FR, Gaughan AE, Linard C, Tatem AJ.
PMID: 26347245
Sci Data. 2015 Sep 01;2:150045. doi: 10.1038/sdata.2015.45. eCollection 2015.

The Latin America and the Caribbean region is one of the most urbanized regions in the world, with a total population of around 630 million that is expected to increase by 25% by 2050. In this context, detailed and...

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Sorichetta A, Hornby GM, Stevens FR, et al. High-resolution gridded population datasets for Latin America and the Caribbean in 2010, 2015, and 2020. Sci Data. 2015;2:150045doi: 10.1038/sdata.2015.45.
Sorichetta, A., Hornby, G. M., Stevens, F. R., Gaughan, A. E., Linard, C., & Tatem, A. J. (2015). High-resolution gridded population datasets for Latin America and the Caribbean in 2010, 2015, and 2020. Scientific data, 2150045. https://doi.org/10.1038/sdata.2015.45
Sorichetta, Alessandro, et al. "High-resolution gridded population datasets for Latin America and the Caribbean in 2010, 2015, and 2020." Scientific data vol. 2 (2015): 150045. doi: https://doi.org/10.1038/sdata.2015.45
Sorichetta A, Hornby GM, Stevens FR, Gaughan AE, Linard C, Tatem AJ. High-resolution gridded population datasets for Latin America and the Caribbean in 2010, 2015, and 2020. Sci Data. 2015 Sep 01;2:150045. doi: 10.1038/sdata.2015.45. eCollection 2015. PMID: 26347245; PMCID: PMC4555876.
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X-ray computed tomography library of shark anatomy and lower jaw surface models.

Scientific data

Kamminga P, De Bruin PW, Geleijns J, Brazeau MD.
PMID: 28398352
Sci Data. 2017 Apr 11;4:170047. doi: 10.1038/sdata.2017.47.

The cranial diversity of sharks reflects disparate biomechanical adaptations to feeding. In order to be able to investigate and better understand the ecomorphology of extant shark feeding systems, we created a x-ray computed tomography (CT) library of shark cranial...

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Kamminga P, De Bruin PW, Geleijns J, et al. X-ray computed tomography library of shark anatomy and lower jaw surface models. Sci Data. 2017;4:170047doi: 10.1038/sdata.2017.47.
Kamminga, P., De Bruin, P. W., Geleijns, J., & Brazeau, M. D. (2017). X-ray computed tomography library of shark anatomy and lower jaw surface models. Scientific data, 4170047. https://doi.org/10.1038/sdata.2017.47
Kamminga, Pepijn, et al. "X-ray computed tomography library of shark anatomy and lower jaw surface models." Scientific data vol. 4 (2017): 170047. doi: https://doi.org/10.1038/sdata.2017.47
Kamminga P, De Bruin PW, Geleijns J, Brazeau MD. X-ray computed tomography library of shark anatomy and lower jaw surface models. Sci Data. 2017 Apr 11;4:170047. doi: 10.1038/sdata.2017.47. PMID: 28398352; PMCID: PMC5387928.
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Genome wide in vivo mouse screen data from studies to assess host regulation of metastatic colonisation.

Scientific data

van der Weyden L, Karp NA, Swiatkowska A, Adams DJ, Speak AO.
PMID: 28895944
Sci Data. 2017 Sep 12;4:170129. doi: 10.1038/sdata.2017.129.

The process of metastasis is a multi-stage cascade with prior studies suggesting that the colonisation of the secondary site is the rate limiting step. This process involves contributions from the tumour cells and also non-tumour intrinsic factors such as...

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van der Weyden L, Karp NA, Swiatkowska A, et al. Genome wide in vivo mouse screen data from studies to assess host regulation of metastatic colonisation. Sci Data. 2017;4:170129doi: 10.1038/sdata.2017.129.
van der Weyden, L., Karp, N. A., Swiatkowska, A., Adams, D. J., & Speak, A. O. (2017). Genome wide in vivo mouse screen data from studies to assess host regulation of metastatic colonisation. Scientific data, 4170129. https://doi.org/10.1038/sdata.2017.129
van der Weyden, Louise, et al. "Genome wide in vivo mouse screen data from studies to assess host regulation of metastatic colonisation." Scientific data vol. 4 (2017): 170129. doi: https://doi.org/10.1038/sdata.2017.129
van der Weyden L, Karp NA, Swiatkowska A, Adams DJ, Speak AO. Genome wide in vivo mouse screen data from studies to assess host regulation of metastatic colonisation. Sci Data. 2017 Sep 12;4:170129. doi: 10.1038/sdata.2017.129. PMID: 28895944; PMCID: PMC5827107.
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The public cancer radiology imaging collections of The Cancer Imaging Archive.

Scientific data

Prior F, Smith K, Sharma A, Kirby J, Tarbox L, Clark K, Bennett W, Nolan T, Freymann J.
PMID: 28925987
Sci Data. 2017 Sep 19;4:170124. doi: 10.1038/sdata.2017.124.

The Cancer Imaging Archive (TCIA) is the U.S. National Cancer Institute's repository for cancer imaging and related information. TCIA contains 30.9 million radiology images representing data collected from approximately 37,568 subjects. This data is organized into collections by tumor-type...

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Prior F, Smith K, Sharma A, et al. The public cancer radiology imaging collections of The Cancer Imaging Archive. Sci Data. 2017;4:170124doi: 10.1038/sdata.2017.124.
Prior, F., Smith, K., Sharma, A., Kirby, J., Tarbox, L., Clark, K., Bennett, W., Nolan, T., & Freymann, J. (2017). The public cancer radiology imaging collections of The Cancer Imaging Archive. Scientific data, 4170124. https://doi.org/10.1038/sdata.2017.124
Prior, Fred, et al. "The public cancer radiology imaging collections of The Cancer Imaging Archive." Scientific data vol. 4 (2017): 170124. doi: https://doi.org/10.1038/sdata.2017.124
Prior F, Smith K, Sharma A, Kirby J, Tarbox L, Clark K, Bennett W, Nolan T, Freymann J. The public cancer radiology imaging collections of The Cancer Imaging Archive. Sci Data. 2017 Sep 19;4:170124. doi: 10.1038/sdata.2017.124. PMID: 28925987; PMCID: PMC5827108.
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A multiscale imaging and modelling dataset of the human inner ear.

Scientific data

Gerber N, Reyes M, Barazzetti L, Kjer HM, Vera S, Stauber M, Mistrik P, Ceresa M, Mangado N, Wimmer W, Stark T, Paulsen RR, Weber S, Caversaccio M, Ballester MAG.
PMID: 28925991
Sci Data. 2017 Sep 19;4:170132. doi: 10.1038/sdata.2017.132.

Understanding the human inner ear anatomy and its internal structures is paramount to advance hearing implant technology. While the emergence of imaging devices allowed researchers to improve understanding of intracochlear structures, the difficulties to collect appropriate data has resulted...

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Gerber N, Reyes M, Barazzetti L, et al. A multiscale imaging and modelling dataset of the human inner ear. Sci Data. 2017;4:170132doi: 10.1038/sdata.2017.132.
Gerber, N., Reyes, M., Barazzetti, L., Kjer, H. M., Vera, S., Stauber, M., Mistrik, P., Ceresa, M., Mangado, N., Wimmer, W., Stark, T., Paulsen, R. R., Weber, S., Caversaccio, M., & Ballester, M. A. G. (2017). A multiscale imaging and modelling dataset of the human inner ear. Scientific data, 4170132. https://doi.org/10.1038/sdata.2017.132
Gerber, Nicolas, et al. "A multiscale imaging and modelling dataset of the human inner ear." Scientific data vol. 4 (2017): 170132. doi: https://doi.org/10.1038/sdata.2017.132
Gerber N, Reyes M, Barazzetti L, Kjer HM, Vera S, Stauber M, Mistrik P, Ceresa M, Mangado N, Wimmer W, Stark T, Paulsen RR, Weber S, Caversaccio M, Ballester MAG. A multiscale imaging and modelling dataset of the human inner ear. Sci Data. 2017 Sep 19;4:170132. doi: 10.1038/sdata.2017.132. PMID: 28925991; PMCID: PMC5604133.
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A multimodal MRI dataset of professional chess players.

Scientific data

Li K, Jiang J, Qiu L, Yang X, Huang X, Lui S, Gong Q.
PMID: 26346238
Sci Data. 2015 Sep 01;2:150044. doi: 10.1038/sdata.2015.44. eCollection 2015.

Chess is a good model to study high-level human brain functions such as spatial cognition, memory, planning, learning and problem solving. Recent studies have demonstrated that non-invasive MRI techniques are valuable for researchers to investigate the underlying neural mechanism...

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Li K, Jiang J, Qiu L, et al. A multimodal MRI dataset of professional chess players. Sci Data. 2015;2:150044doi: 10.1038/sdata.2015.44.
Li, K., Jiang, J., Qiu, L., Yang, X., Huang, X., Lui, S., & Gong, Q. (2015). A multimodal MRI dataset of professional chess players. Scientific data, 2150044. https://doi.org/10.1038/sdata.2015.44
Li, Kaiming, et al. "A multimodal MRI dataset of professional chess players." Scientific data vol. 2 (2015): 150044. doi: https://doi.org/10.1038/sdata.2015.44
Li K, Jiang J, Qiu L, Yang X, Huang X, Lui S, Gong Q. A multimodal MRI dataset of professional chess players. Sci Data. 2015 Sep 01;2:150044. doi: 10.1038/sdata.2015.44. eCollection 2015. PMID: 26346238; PMCID: PMC4556927.
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Showing 13 to 24 of 1376 entries