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CyanOmics: an integrated database of omics for the model cyanobacterium Synechococcus sp. PCC 7002.

Database : the journal of biological databases and curation

Yang Y, Feng J, Li T, Ge F, Zhao J.
PMID: 25632108
Database (Oxford). 2015 Jan 28;2015. doi: 10.1093/database/bau127. Print 2015.

Cyanobacteria are an important group of organisms that carry out oxygenic photosynthesis and play vital roles in both the carbon and nitrogen cycles of the Earth. The annotated genome of Synechococcus sp. PCC 7002, as an ideal model cyanobacterium,...

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Yang Y, Feng J, Li T, et al. CyanOmics: an integrated database of omics for the model cyanobacterium Synechococcus sp. PCC 7002. Database (Oxford). 2015;2015doi: 10.1093/database/bau127.
Yang, Y., Feng, J., Li, T., Ge, F., & Zhao, J. (2015). CyanOmics: an integrated database of omics for the model cyanobacterium Synechococcus sp. PCC 7002. Database : the journal of biological databases and curation, 2015. https://doi.org/10.1093/database/bau127
Yang, Yaohua, et al. "CyanOmics: an integrated database of omics for the model cyanobacterium Synechococcus sp. PCC 7002." Database : the journal of biological databases and curation vol. 2015 (2015). doi: https://doi.org/10.1093/database/bau127
Yang Y, Feng J, Li T, Ge F, Zhao J. CyanOmics: an integrated database of omics for the model cyanobacterium Synechococcus sp. PCC 7002. Database (Oxford). 2015 Jan 28;2015. doi: 10.1093/database/bau127. Print 2015. PMID: 25632108; PMCID: PMC4309022.
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SCovid: single-cell atlases for exposing molecular characteristics of COVID-19 across 10 human tissues.

Nucleic acids research

Qi C, Wang C, Zhao L, Zhu Z, Wang P, Zhang S, Cheng L, Zhang X.
PMID: 34634820
Nucleic Acids Res. 2022 Jan 07;50:D867-D874. doi: 10.1093/nar/gkab881.

SCovid (http://bio-annotation.cn/scovid) aims at providing a comprehensive resource of single-cell data for exposing molecular characteristics of coronavirus disease 2019 (COVID-19) across 10 human tissues. COVID-19, an epidemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has been found...

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Qi C, Wang C, Zhao L, et al. SCovid: single-cell atlases for exposing molecular characteristics of COVID-19 across 10 human tissues. Nucleic Acids Res. 2022;50:D867-D874doi: 10.1093/nar/gkab881.
Qi, C., Wang, C., Zhao, L., Zhu, Z., Wang, P., Zhang, S., Cheng, L., & Zhang, X. (2022). SCovid: single-cell atlases for exposing molecular characteristics of COVID-19 across 10 human tissues. Nucleic acids research, 50D867-D874. https://doi.org/10.1093/nar/gkab881
Qi, Changlu, et al. "SCovid: single-cell atlases for exposing molecular characteristics of COVID-19 across 10 human tissues." Nucleic acids research vol. 50 (2022): D867-D874. doi: https://doi.org/10.1093/nar/gkab881
Qi C, Wang C, Zhao L, Zhu Z, Wang P, Zhang S, Cheng L, Zhang X. SCovid: single-cell atlases for exposing molecular characteristics of COVID-19 across 10 human tissues. Nucleic Acids Res. 2022 Jan 07;50:D867-D874. doi: 10.1093/nar/gkab881. PMID: 34634820; PMCID: PMC8524591.
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Shared resources, shared costs--leveraging biocuration resources.

Database : the journal of biological databases and curation

Orchard S, Hermjakob H.
PMID: 25776020
Database (Oxford). 2015 Mar 16;2015. doi: 10.1093/database/bav009. Print 2015.

The manual curation of the information in biomedical resources is an expensive task. This article argues the value of this approach in comparison with other apparently less costly options, such as automated annotation or text-mining, then discusses ways in...

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Orchard S, Hermjakob H. Shared resources, shared costs--leveraging biocuration resources. Database (Oxford). 2015;2015doi: 10.1093/database/bav009.
Orchard, S., & Hermjakob, H. (2015). Shared resources, shared costs--leveraging biocuration resources. Database : the journal of biological databases and curation, 2015. https://doi.org/10.1093/database/bav009
Orchard, Sandra, and Hermjakob, Henning. "Shared resources, shared costs--leveraging biocuration resources." Database : the journal of biological databases and curation vol. 2015 (2015). doi: https://doi.org/10.1093/database/bav009
Orchard S, Hermjakob H. Shared resources, shared costs--leveraging biocuration resources. Database (Oxford). 2015 Mar 16;2015. doi: 10.1093/database/bav009. Print 2015. PMID: 25776020; PMCID: PMC4360620.
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LMPID: a manually curated database of linear motifs mediating protein-protein interactions.

Database : the journal of biological databases and curation

Sarkar D, Jana T, Saha S.
PMID: 25776024
Database (Oxford). 2015 Mar 16;2015. doi: 10.1093/database/bav014. Print 2015.

Linear motifs (LMs), used by a subset of all protein-protein interactions (PPIs), bind to globular receptors or domains and play an important role in signaling networks. LMPID (Linear Motif mediated Protein Interaction Database) is a manually curated database which...

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Sarkar D, Jana T, Saha S. LMPID: a manually curated database of linear motifs mediating protein-protein interactions. Database (Oxford). 2015;2015doi: 10.1093/database/bav014.
Sarkar, D., Jana, T., & Saha, S. (2015). LMPID: a manually curated database of linear motifs mediating protein-protein interactions. Database : the journal of biological databases and curation, 2015. https://doi.org/10.1093/database/bav014
Sarkar, Debasree, et al. "LMPID: a manually curated database of linear motifs mediating protein-protein interactions." Database : the journal of biological databases and curation vol. 2015 (2015). doi: https://doi.org/10.1093/database/bav014
Sarkar D, Jana T, Saha S. LMPID: a manually curated database of linear motifs mediating protein-protein interactions. Database (Oxford). 2015 Mar 16;2015. doi: 10.1093/database/bav014. Print 2015. PMID: 25776024; PMCID: PMC4360622.
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Smart Distance Lab's art fair, experimental data on social distancing during the COVID-19 pandemic.

Scientific data

Tanis CC, Leach NM, Geiger SJ, Nauta FH, Dablander F, van Harreveld F, de Wit S, Kanters G, Knoppers J, Markus DAW, Bouten RRM, Oostvogel QH, Boersma MJ, van der Steenhoven MV, Borsboom D, Blanken TF.
PMID: 34267219
Sci Data. 2021 Jul 15;8(1):179. doi: 10.1038/s41597-021-00971-2.

In the absence of a vaccine, social distancing behaviour is pivotal to mitigate COVID-19 virus spread. In this large-scale behavioural experiment, we gathered data during Smart Distance Lab: The Art Fair (n = 839) between August 28 and 30,...

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Tanis CC, Leach NM, Geiger SJ, et al. Smart Distance Lab's art fair, experimental data on social distancing during the COVID-19 pandemic. Sci Data. 2021;8(1):179doi: 10.1038/s41597-021-00971-2.
Tanis, C. C., Leach, N. M., Geiger, S. J., Nauta, F. H., Dablander, F., van Harreveld, F., de Wit, S., Kanters, G., Knoppers, J., Markus, D. A. W., Bouten, R. R. M., Oostvogel, Q. H., Boersma, M. J., van der Steenhoven, M. V., Borsboom, D., & Blanken, T. F. (2021). Smart Distance Lab's art fair, experimental data on social distancing during the COVID-19 pandemic. Scientific data, 8(1), 179. https://doi.org/10.1038/s41597-021-00971-2
Tanis, Charlotte C, et al. "Smart Distance Lab's art fair, experimental data on social distancing during the COVID-19 pandemic." Scientific data vol. 8,1 (2021): 179. doi: https://doi.org/10.1038/s41597-021-00971-2
Tanis CC, Leach NM, Geiger SJ, Nauta FH, Dablander F, van Harreveld F, de Wit S, Kanters G, Knoppers J, Markus DAW, Bouten RRM, Oostvogel QH, Boersma MJ, van der Steenhoven MV, Borsboom D, Blanken TF. Smart Distance Lab's art fair, experimental data on social distancing during the COVID-19 pandemic. Sci Data. 2021 Jul 15;8(1):179. doi: 10.1038/s41597-021-00971-2. PMID: 34267219; PMCID: PMC8282783.
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Community-curated and standardised metadata of published ancient metagenomic samples with AncientMetagenomeDir.

Scientific data

Fellows Yates JA, Andrades Valtueña A, Vågene ÅJ, Cribdon B, Velsko IM, Borry M, Bravo-Lopez MJ, Fernandez-Guerra A, Green EJ, Ramachandran SL, Heintzman PD, Spyrou MA, Hübner A, Gancz AS, Hider J, Allshouse AF, Zaro V, Warinner C.
PMID: 33500403
Sci Data. 2021 Jan 26;8(1):31. doi: 10.1038/s41597-021-00816-y.

Ancient DNA and RNA are valuable data sources for a wide range of disciplines. Within the field of ancient metagenomics, the number of published genetic datasets has risen dramatically in recent years, and tracking this data for reuse is...

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Fellows Yates JA, Andrades Valtueña A, Vågene ÅJ, et al. Community-curated and standardised metadata of published ancient metagenomic samples with AncientMetagenomeDir. Sci Data. 2021;8(1):31doi: 10.1038/s41597-021-00816-y.
Fellows Yates, J. A., Andrades Valtueña, A., Vågene, �. �. J., Cribdon, B., Velsko, I. M., Borry, M., Bravo-Lopez, M. J., Fernandez-Guerra, A., Green, E. J., Ramachandran, S. L., Heintzman, P. D., Spyrou, M. A., Hübner, A., Gancz, A. S., Hider, J., Allshouse, A. F., Zaro, V., & Warinner, C. (2021). Community-curated and standardised metadata of published ancient metagenomic samples with AncientMetagenomeDir. Scientific data, 8(1), 31. https://doi.org/10.1038/s41597-021-00816-y
Fellows Yates, James A, et al. "Community-curated and standardised metadata of published ancient metagenomic samples with AncientMetagenomeDir." Scientific data vol. 8,1 (2021): 31. doi: https://doi.org/10.1038/s41597-021-00816-y
Fellows Yates JA, Andrades Valtueña A, Vågene ÅJ, Cribdon B, Velsko IM, Borry M, Bravo-Lopez MJ, Fernandez-Guerra A, Green EJ, Ramachandran SL, Heintzman PD, Spyrou MA, Hübner A, Gancz AS, Hider J, Allshouse AF, Zaro V, Warinner C. Community-curated and standardised metadata of published ancient metagenomic samples with AncientMetagenomeDir. Sci Data. 2021 Jan 26;8(1):31. doi: 10.1038/s41597-021-00816-y. PMID: 33500403; PMCID: PMC7838265.
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Onshore industrial wind turbine locations for the United States up to March 2014.

Scientific data

Diffendorfer JE, Kramer LA, Ancona ZH, Garrity CP.
PMID: 26601687
Sci Data. 2015 Nov 24;2:150060. doi: 10.1038/sdata.2015.60.

Wind energy is a rapidly growing form of renewable energy in the United States. While summary information on the total amounts of installed capacity are available by state, a free, centralized, national, turbine-level, geospatial dataset useful for scientific research,...

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Diffendorfer JE, Kramer LA, Ancona ZH, et al. Onshore industrial wind turbine locations for the United States up to March 2014. Sci Data. 2015;2:150060doi: 10.1038/sdata.2015.60.
Diffendorfer, J. E., Kramer, L. A., Ancona, Z. H., & Garrity, C. P. (2015). Onshore industrial wind turbine locations for the United States up to March 2014. Scientific data, 2150060. https://doi.org/10.1038/sdata.2015.60
Diffendorfer, Jay E, et al. "Onshore industrial wind turbine locations for the United States up to March 2014." Scientific data vol. 2 (2015): 150060. doi: https://doi.org/10.1038/sdata.2015.60
Diffendorfer JE, Kramer LA, Ancona ZH, Garrity CP. Onshore industrial wind turbine locations for the United States up to March 2014. Sci Data. 2015 Nov 24;2:150060. doi: 10.1038/sdata.2015.60. PMID: 26601687; PMCID: PMC4658569.
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An extended Arctic proxy temperature database for the past 2,000 years.

Scientific data

McKay NP, Kaufman DS.
PMID: 25977783
Sci Data. 2014 Aug 19;1:140026. doi: 10.1038/sdata.2014.26. eCollection 2014.

Robust climate reconstructions of the most recent centuries and millennia are invaluable for placing modern warming in the context of natural variability. Here we present an extended and revised database (version 1.1) of proxy temperature records recently used to...

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McKay NP, Kaufman DS. An extended Arctic proxy temperature database for the past 2,000 years. Sci Data. 2014;1:140026doi: 10.1038/sdata.2014.26.
McKay, N. P., & Kaufman, D. S. (2014). An extended Arctic proxy temperature database for the past 2,000 years. Scientific data, 1140026. https://doi.org/10.1038/sdata.2014.26
McKay, Nicholas P, and Kaufman, Darrell S. "An extended Arctic proxy temperature database for the past 2,000 years." Scientific data vol. 1 (2014): 140026. doi: https://doi.org/10.1038/sdata.2014.26
McKay NP, Kaufman DS. An extended Arctic proxy temperature database for the past 2,000 years. Sci Data. 2014 Aug 19;1:140026. doi: 10.1038/sdata.2014.26. eCollection 2014. PMID: 25977783; PMCID: PMC4322576.
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A dataset of human decision-making in teamwork management.

Scientific data

Yu H, Shen Z, Miao C, Leung C, Chen Y, Fauvel S, Lin J, Cui L, Pan Z, Yang Q.
PMID: 28094787
Sci Data. 2017 Jan 17;4:160127. doi: 10.1038/sdata.2016.127.

Today, most endeavours require teamwork by people with diverse skills and characteristics. In managing teamwork, decisions are often made under uncertainty and resource constraints. The strategies and the effectiveness of the strategies different people adopt to manage teamwork under...

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Yu H, Shen Z, Miao C, et al. A dataset of human decision-making in teamwork management. Sci Data. 2017;4:160127doi: 10.1038/sdata.2016.127.
Yu, H., Shen, Z., Miao, C., Leung, C., Chen, Y., Fauvel, S., Lin, J., Cui, L., Pan, Z., & Yang, Q. (2017). A dataset of human decision-making in teamwork management. Scientific data, 4160127. https://doi.org/10.1038/sdata.2016.127
Yu, Han, et al. "A dataset of human decision-making in teamwork management." Scientific data vol. 4 (2017): 160127. doi: https://doi.org/10.1038/sdata.2016.127
Yu H, Shen Z, Miao C, Leung C, Chen Y, Fauvel S, Lin J, Cui L, Pan Z, Yang Q. A dataset of human decision-making in teamwork management. Sci Data. 2017 Jan 17;4:160127. doi: 10.1038/sdata.2016.127. PMID: 28094787; PMCID: PMC5240621.
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Bilateral international migration flow estimates for 200 countries.

Scientific data

Abel GJ, Cohen JE.
PMID: 31209218
Sci Data. 2019 Jun 17;6(1):82. doi: 10.1038/s41597-019-0089-3.

Data on stocks and flows of international migration are necessary to understand migrant patterns and trends and to monitor and evaluate migration-relevant international development agendas. Many countries do not publish data on bilateral migration flows. At least six methods...

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Abel GJ, Cohen JE. Bilateral international migration flow estimates for 200 countries. Sci Data. 2019;6(1):82doi: 10.1038/s41597-019-0089-3.
Abel, G. J., & Cohen, J. E. (2019). Bilateral international migration flow estimates for 200 countries. Scientific data, 6(1), 82. https://doi.org/10.1038/s41597-019-0089-3
Abel, Guy J, and Cohen, Joel E. "Bilateral international migration flow estimates for 200 countries." Scientific data vol. 6,1 (2019): 82. doi: https://doi.org/10.1038/s41597-019-0089-3
Abel GJ, Cohen JE. Bilateral international migration flow estimates for 200 countries. Sci Data. 2019 Jun 17;6(1):82. doi: 10.1038/s41597-019-0089-3. PMID: 31209218; PMCID: PMC6572777.
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A database to enable discovery and design of piezoelectric materials.

Scientific data

de Jong M, Chen W, Geerlings H, Asta M, Persson KA.
PMID: 26451252
Sci Data. 2015 Sep 29;2:150053. doi: 10.1038/sdata.2015.53. eCollection 2015.

Piezoelectric materials are used in numerous applications requiring a coupling between electrical fields and mechanical strain. Despite the technological importance of this class of materials, for only a small fraction of all inorganic compounds which display compatible crystallographic symmetry,...

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de Jong M, Chen W, Geerlings H, et al. A database to enable discovery and design of piezoelectric materials. Sci Data. 2015;2:150053doi: 10.1038/sdata.2015.53.
de Jong, M., Chen, W., Geerlings, H., Asta, M., & Persson, K. A. (2015). A database to enable discovery and design of piezoelectric materials. Scientific data, 2150053. https://doi.org/10.1038/sdata.2015.53
de Jong, Maarten, et al. "A database to enable discovery and design of piezoelectric materials." Scientific data vol. 2 (2015): 150053. doi: https://doi.org/10.1038/sdata.2015.53
de Jong M, Chen W, Geerlings H, Asta M, Persson KA. A database to enable discovery and design of piezoelectric materials. Sci Data. 2015 Sep 29;2:150053. doi: 10.1038/sdata.2015.53. eCollection 2015. PMID: 26451252; PMCID: PMC4587372.
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Stress and productivity patterns of interrupted, synergistic, and antagonistic office activities.

Scientific data

Zaman S, Wesley A, Silva DRDC, Buddharaju P, Akbar F, Gao G, Mark G, Gutierrez-Osuna R, Pavlidis I.
PMID: 31704939
Sci Data. 2019 Nov 08;6(1):264. doi: 10.1038/s41597-019-0249-5.

We describe a controlled experiment, aiming to study productivity and stress effects of email interruptions and activity interactions in the modern office. The measurement set includes multimodal data for n = 63 knowledge workers who volunteered for this experiment...

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Zaman S, Wesley A, Silva DRDC, et al. Stress and productivity patterns of interrupted, synergistic, and antagonistic office activities. Sci Data. 2019;6(1):264doi: 10.1038/s41597-019-0249-5.
Zaman, S., Wesley, A., Silva, D. R. D. C., Buddharaju, P., Akbar, F., Gao, G., Mark, G., Gutierrez-Osuna, R., & Pavlidis, I. (2019). Stress and productivity patterns of interrupted, synergistic, and antagonistic office activities. Scientific data, 6(1), 264. https://doi.org/10.1038/s41597-019-0249-5
Zaman, Shaila, et al. "Stress and productivity patterns of interrupted, synergistic, and antagonistic office activities." Scientific data vol. 6,1 (2019): 264. doi: https://doi.org/10.1038/s41597-019-0249-5
Zaman S, Wesley A, Silva DRDC, Buddharaju P, Akbar F, Gao G, Mark G, Gutierrez-Osuna R, Pavlidis I. Stress and productivity patterns of interrupted, synergistic, and antagonistic office activities. Sci Data. 2019 Nov 08;6(1):264. doi: 10.1038/s41597-019-0249-5. PMID: 31704939; PMCID: PMC6841929.
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Showing 13 to 24 of 53 entries