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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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Phenotypic trait variation measured on European genetic trials of Fagus sylvatica L.

Scientific data

Robson TM, Garzón MB.
PMID: 30063224
Sci Data. 2018 Jul 31;5:180149. doi: 10.1038/sdata.2018.149.

We present BeechCOSTe52; a database of European beech (Fagus sylvatica) phenotypic measurements for several traits related to fitness measured in genetic trials planted across Europe. The dataset was compiled and harmonized during the COST-Action E52 (2006-2010), and subsequently cross-validated...

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Robson TM, Garzón MB. Phenotypic trait variation measured on European genetic trials of Fagus sylvatica L. Sci Data. 2018;5:180149doi: 10.1038/sdata.2018.149.
Robson, T. M., Garzón, M. B. (2018). Phenotypic trait variation measured on European genetic trials of Fagus sylvatica L. Scientific data, 5180149. https://doi.org/10.1038/sdata.2018.149
Robson, T Matthew, et al. "Phenotypic trait variation measured on European genetic trials of Fagus sylvatica L." Scientific data vol. 5 (2018): 180149. doi: https://doi.org/10.1038/sdata.2018.149
Robson TM, Garzón MB. Phenotypic trait variation measured on European genetic trials of Fagus sylvatica L. Sci Data. 2018 Jul 31;5:180149. doi: 10.1038/sdata.2018.149. PMID: 30063224; PMCID: PMC6067048.
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The multilayer temporal network of public transport in Great Britain.

Scientific data

Gallotti R, Barthelemy M.
PMID: 25977806
Sci Data. 2015 Jan 06;2:140056. doi: 10.1038/sdata.2014.56. eCollection 2015.

Despite the widespread availability of information concerning public transport coming from different sources, it is extremely hard to have a complete picture, in particular at a national scale. Here, we integrate timetable data obtained from the United Kingdom open-data...

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Gallotti R, Barthelemy M. The multilayer temporal network of public transport in Great Britain. Sci Data. 2015;2:140056doi: 10.1038/sdata.2014.56.
Gallotti, R., & Barthelemy, M. (2015). The multilayer temporal network of public transport in Great Britain. Scientific data, 2140056. https://doi.org/10.1038/sdata.2014.56
Gallotti, Riccardo, and Barthelemy, Marc. "The multilayer temporal network of public transport in Great Britain." Scientific data vol. 2 (2015): 140056. doi: https://doi.org/10.1038/sdata.2014.56
Gallotti R, Barthelemy M. The multilayer temporal network of public transport in Great Britain. Sci Data. 2015 Jan 06;2:140056. doi: 10.1038/sdata.2014.56. eCollection 2015. PMID: 25977806; PMCID: PMC4412150.
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Dataset on coherent control of fields and induced currents in nonlinear multiphoton processes in a nanosphere.

Scientific data

McArthur D, Hourahine B, Papoff F.
PMID: 26601699
Sci Data. 2015 Nov 24;2:150064. doi: 10.1038/sdata.2015.64.

We model a scheme for the coherent control of light waves and currents in metallic nanospheres which applies independently of the nonlinear multiphoton processes at the origin of waves and currents. Using exact mathematical formulae, we calculate numerically with...

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McArthur D, Hourahine B, Papoff F. Dataset on coherent control of fields and induced currents in nonlinear multiphoton processes in a nanosphere. Sci Data. 2015;2:150064doi: 10.1038/sdata.2015.64.
McArthur, D., Hourahine, B., & Papoff, F. (2015). Dataset on coherent control of fields and induced currents in nonlinear multiphoton processes in a nanosphere. Scientific data, 2150064. https://doi.org/10.1038/sdata.2015.64
McArthur, Duncan, et al. "Dataset on coherent control of fields and induced currents in nonlinear multiphoton processes in a nanosphere." Scientific data vol. 2 (2015): 150064. doi: https://doi.org/10.1038/sdata.2015.64
McArthur D, Hourahine B, Papoff F. Dataset on coherent control of fields and induced currents in nonlinear multiphoton processes in a nanosphere. Sci Data. 2015 Nov 24;2:150064. doi: 10.1038/sdata.2015.64. PMID: 26601699; PMCID: PMC4658576.
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Charting the complete elastic properties of inorganic crystalline compounds.

Scientific data

de Jong M, Chen W, Angsten T, Jain A, Notestine R, Gamst A, Sluiter M, Krishna Ande C, van der Zwaag S, Plata JJ, Toher C, Curtarolo S, Ceder G, Persson KA, Asta M.
PMID: 25984348
Sci Data. 2015 Mar 17;2:150009. doi: 10.1038/sdata.2015.9. eCollection 2015.

The elastic constant tensor of an inorganic compound provides a complete description of the response of the material to external stresses in the elastic limit. It thus provides fundamental insight into the nature of the bonding in the material,...

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de Jong M, Chen W, Angsten T, et al. Charting the complete elastic properties of inorganic crystalline compounds. Sci Data. 2015;2:150009doi: 10.1038/sdata.2015.9.
de Jong, M., Chen, W., Angsten, T., Jain, A., Notestine, R., Gamst, A., Sluiter, M., Krishna Ande, C., van der Zwaag, S., Plata, J. J., Toher, C., Curtarolo, S., Ceder, G., Persson, K. A., & Asta, M. (2015). Charting the complete elastic properties of inorganic crystalline compounds. Scientific data, 2150009. https://doi.org/10.1038/sdata.2015.9
de Jong, Maarten, et al. "Charting the complete elastic properties of inorganic crystalline compounds." Scientific data vol. 2 (2015): 150009. doi: https://doi.org/10.1038/sdata.2015.9
de Jong M, Chen W, Angsten T, Jain A, Notestine R, Gamst A, Sluiter M, Krishna Ande C, van der Zwaag S, Plata JJ, Toher C, Curtarolo S, Ceder G, Persson KA, Asta M. Charting the complete elastic properties of inorganic crystalline compounds. Sci Data. 2015 Mar 17;2:150009. doi: 10.1038/sdata.2015.9. eCollection 2015. PMID: 25984348; PMCID: PMC4432655.
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Sea surface temperature and salinity from French research vessels, 2001-2013.

Scientific data

Gaillard F, Diverres D, Jacquin S, Gouriou Y, Grelet J, Le Menn M, Tassel J, Reverdin G.
PMID: 26504523
Sci Data. 2015 Oct 13;2:150054. doi: 10.1038/sdata.2015.54. eCollection 2015.

French Research vessels have been collecting thermo-salinometer (TSG) data since 1999 to contribute to the Global Ocean Surface Underway Data (GOSUD) programme. The instruments are regularly calibrated and continuously monitored. Water samples are taken on a daily basis by...

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Gaillard F, Diverres D, Jacquin S, et al. Sea surface temperature and salinity from French research vessels, 2001-2013. Sci Data. 2015;2:150054doi: 10.1038/sdata.2015.54.
Gaillard, F., Diverres, D., Jacquin, S., Gouriou, Y., Grelet, J., Le Menn, M., Tassel, J., & Reverdin, G. (2015). Sea surface temperature and salinity from French research vessels, 2001-2013. Scientific data, 2150054. https://doi.org/10.1038/sdata.2015.54
Gaillard, Fabienne, et al. "Sea surface temperature and salinity from French research vessels, 2001-2013." Scientific data vol. 2 (2015): 150054. doi: https://doi.org/10.1038/sdata.2015.54
Gaillard F, Diverres D, Jacquin S, Gouriou Y, Grelet J, Le Menn M, Tassel J, Reverdin G. Sea surface temperature and salinity from French research vessels, 2001-2013. Sci Data. 2015 Oct 13;2:150054. doi: 10.1038/sdata.2015.54. eCollection 2015. PMID: 26504523; PMCID: PMC4603393.
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Pantheon 1.0, a manually verified dataset of globally famous biographies.

Scientific data

Yu AZ, Ronen S, Hu K, Lu T, Hidalgo CA.
PMID: 26731133
Sci Data. 2016 Jan 05;3:150075. doi: 10.1038/sdata.2015.75.

We present the Pantheon 1.0 dataset: a manually verified dataset of individuals that have transcended linguistic, temporal, and geographic boundaries. The Pantheon 1.0 dataset includes the 11,341 biographies present in more than 25 languages in Wikipedia and is enriched...

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Yu AZ, Ronen S, Hu K, et al. Pantheon 1.0, a manually verified dataset of globally famous biographies. Sci Data. 2016;3:150075doi: 10.1038/sdata.2015.75.
Yu, A. Z., Ronen, S., Hu, K., Lu, T., & Hidalgo, C. A. (2016). Pantheon 1.0, a manually verified dataset of globally famous biographies. Scientific data, 3150075. https://doi.org/10.1038/sdata.2015.75
Yu, Amy Zhao, et al. "Pantheon 1.0, a manually verified dataset of globally famous biographies." Scientific data vol. 3 (2016): 150075. doi: https://doi.org/10.1038/sdata.2015.75
Yu AZ, Ronen S, Hu K, Lu T, Hidalgo CA. Pantheon 1.0, a manually verified dataset of globally famous biographies. Sci Data. 2016 Jan 05;3:150075. doi: 10.1038/sdata.2015.75. PMID: 26731133; PMCID: PMC4700860.
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Long-term growth data of Escherichia coli at a single-cell level.

Scientific data

Tanouchi Y, Pai A, Park H, Huang S, Buchler NE, You L.
PMID: 28350394
Sci Data. 2017 Mar 28;4:170036. doi: 10.1038/sdata.2017.36.

Long-term, single-cell measurement of bacterial growth is extremely valuable information, particularly in the study of homeostatic aspects such as cell-size and growth rate control. Such measurement has recently become possible due to the development of microfluidic technology. Here we...

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Tanouchi Y, Pai A, Park H, et al. Long-term growth data of Escherichia coli at a single-cell level. Sci Data. 2017;4:170036doi: 10.1038/sdata.2017.36.
Tanouchi, Y., Pai, A., Park, H., Huang, S., Buchler, N. E., & You, L. (2017). Long-term growth data of Escherichia coli at a single-cell level. Scientific data, 4170036. https://doi.org/10.1038/sdata.2017.36
Tanouchi, Yu, et al. "Long-term growth data of Escherichia coli at a single-cell level." Scientific data vol. 4 (2017): 170036. doi: https://doi.org/10.1038/sdata.2017.36
Tanouchi Y, Pai A, Park H, Huang S, Buchler NE, You L. Long-term growth data of Escherichia coli at a single-cell level. Sci Data. 2017 Mar 28;4:170036. doi: 10.1038/sdata.2017.36. PMID: 28350394; PMCID: PMC5369309.
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Datasets from a research project examining the role of politics in social psychological research.

Scientific data

Viganola D, Eitan O, Inbar Y, Dreber A, Johannesson M, Pfeiffer T, Thau S, Uhlmann EL.
PMID: 30375993
Sci Data. 2018 Oct 30;5:180236. doi: 10.1038/sdata.2018.236.

We present four datasets from a project examining the role of politics in social psychological research. These include thousands of independent raters who coded scientific abstracts for political relevance and for whether conservatives or liberals were treated as targets...

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Viganola D, Eitan O, Inbar Y, et al. Datasets from a research project examining the role of politics in social psychological research. Sci Data. 2018;5:180236doi: 10.1038/sdata.2018.236.
Viganola, D., Eitan, O., Inbar, Y., Dreber, A., Johannesson, M., Pfeiffer, T., Thau, S., & Uhlmann, E. L. (2018). Datasets from a research project examining the role of politics in social psychological research. Scientific data, 5180236. https://doi.org/10.1038/sdata.2018.236
Viganola, Domenico, et al. "Datasets from a research project examining the role of politics in social psychological research." Scientific data vol. 5 (2018): 180236. doi: https://doi.org/10.1038/sdata.2018.236
Viganola D, Eitan O, Inbar Y, Dreber A, Johannesson M, Pfeiffer T, Thau S, Uhlmann EL. Datasets from a research project examining the role of politics in social psychological research. Sci Data. 2018 Oct 30;5:180236. doi: 10.1038/sdata.2018.236. PMID: 30375993; PMCID: PMC6207064.
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Interaction data from the Copenhagen Networks Study.

Scientific data

Sapiezynski P, Stopczynski A, Lassen DD, Lehmann S.
PMID: 31827097
Sci Data. 2019 Dec 11;6(1):315. doi: 10.1038/s41597-019-0325-x.

We describe the multi-layer temporal network which connects a population of more than 700 university students over a period of four weeks. The dataset was collected via smartphones as part of the Copenhagen Networks Study. We include the network...

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Sapiezynski P, Stopczynski A, Lassen DD, et al. Interaction data from the Copenhagen Networks Study. Sci Data. 2019;6(1):315doi: 10.1038/s41597-019-0325-x.
Sapiezynski, P., Stopczynski, A., Lassen, D. D., & Lehmann, S. (2019). Interaction data from the Copenhagen Networks Study. Scientific data, 6(1), 315. https://doi.org/10.1038/s41597-019-0325-x
Sapiezynski, Piotr, et al. "Interaction data from the Copenhagen Networks Study." Scientific data vol. 6,1 (2019): 315. doi: https://doi.org/10.1038/s41597-019-0325-x
Sapiezynski P, Stopczynski A, Lassen DD, Lehmann S. Interaction data from the Copenhagen Networks Study. Sci Data. 2019 Dec 11;6(1):315. doi: 10.1038/s41597-019-0325-x. PMID: 31827097; PMCID: PMC6906316.
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Gridded global datasets for Gross Domestic Product and Human Development Index over 1990-2015.

Scientific data

Kummu M, Taka M, Guillaume JHA.
PMID: 29406518
Sci Data. 2018 Feb 06;5:180004. doi: 10.1038/sdata.2018.4.

An increasing amount of high-resolution global spatial data are available, and used for various assessments. However, key economic and human development indicators are still mainly provided only at national level, and downscaled by users for gridded spatial analyses. Instead,...

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Kummu M, Taka M, Guillaume JHA. Gridded global datasets for Gross Domestic Product and Human Development Index over 1990-2015. Sci Data. 2018;5:180004doi: 10.1038/sdata.2018.4.
Kummu, M., Taka, M., & Guillaume, J. H. A. (2018). Gridded global datasets for Gross Domestic Product and Human Development Index over 1990-2015. Scientific data, 5180004. https://doi.org/10.1038/sdata.2018.4
Kummu, Matti, et al. "Gridded global datasets for Gross Domestic Product and Human Development Index over 1990-2015." Scientific data vol. 5 (2018): 180004. doi: https://doi.org/10.1038/sdata.2018.4
Kummu M, Taka M, Guillaume JHA. Gridded global datasets for Gross Domestic Product and Human Development Index over 1990-2015. Sci Data. 2018 Feb 06;5:180004. doi: 10.1038/sdata.2018.4. PMID: 29406518; PMCID: PMC5800392.
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A longitudinal neuroimaging dataset on arithmetic processing in school children.

Scientific data

Suárez-Pellicioni M, Lytle M, Younger JW, Booth JR.
PMID: 30835258
Sci Data. 2019 Mar 05;6:190040. doi: 10.1038/sdata.2019.40.

We describe functional and structural data acquired using a 3T scanner in a sample of 132 typically developing children, who were scanned when they were approximately 11 years old (i.e. Time 1). Sixty-three of them were scanned again approximately...

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Suárez-Pellicioni M, Lytle M, Younger JW, et al. A longitudinal neuroimaging dataset on arithmetic processing in school children. Sci Data. 2019;6:190040doi: 10.1038/sdata.2019.40.
Suárez-Pellicioni, M., Lytle, M., Younger, J. W., & Booth, J. R. (2019). A longitudinal neuroimaging dataset on arithmetic processing in school children. Scientific data, 6190040. https://doi.org/10.1038/sdata.2019.40
Suárez-Pellicioni, Macarena, et al. "A longitudinal neuroimaging dataset on arithmetic processing in school children." Scientific data vol. 6 (2019): 190040. doi: https://doi.org/10.1038/sdata.2019.40
Suárez-Pellicioni M, Lytle M, Younger JW, Booth JR. A longitudinal neuroimaging dataset on arithmetic processing in school children. Sci Data. 2019 Mar 05;6:190040. doi: 10.1038/sdata.2019.40. PMID: 30835258; PMCID: PMC6400102.
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Showing 25 to 36 of 50 entries