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The Avian Diet Database as a source of quantitative information on bird diets.

Scientific data

Hurlbert AH, Olsen AM, Sawyer MM, Winner PM.
PMID: 34608157
Sci Data. 2021 Oct 04;8(1):260. doi: 10.1038/s41597-021-01049-9.

This data paper describes a compilation of 73,075 quantitative diet data records for 759 primarily North American bird species, providing standardized information not just on the diet itself, but on the context for that diet information including the year,...

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Hurlbert AH, Olsen AM, Sawyer MM, et al. The Avian Diet Database as a source of quantitative information on bird diets. Sci Data. 2021;8(1):260doi: 10.1038/s41597-021-01049-9.
Hurlbert, A. H., Olsen, A. M., Sawyer, M. M., & Winner, P. M. (2021). The Avian Diet Database as a source of quantitative information on bird diets. Scientific data, 8(1), 260. https://doi.org/10.1038/s41597-021-01049-9
Hurlbert, Allen H, et al. "The Avian Diet Database as a source of quantitative information on bird diets." Scientific data vol. 8,1 (2021): 260. doi: https://doi.org/10.1038/s41597-021-01049-9
Hurlbert AH, Olsen AM, Sawyer MM, Winner PM. The Avian Diet Database as a source of quantitative information on bird diets. Sci Data. 2021 Oct 04;8(1):260. doi: 10.1038/s41597-021-01049-9. PMID: 34608157; PMCID: PMC8490446.
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Author Correction: Scenarios of future Indian electricity demand accounting for space cooling and electric vehicle adoption.

Scientific data

Barbar M, Mallapragada DS, Alsup M, Stoner R.
PMID: 34330931
Sci Data. 2021 Jul 30;8(1):206. doi: 10.1038/s41597-021-00996-7.

No abstract available.

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Barbar M, Mallapragada DS, Alsup M, et al. Author Correction: Scenarios of future Indian electricity demand accounting for space cooling and electric vehicle adoption. Sci Data. 2021;8(1):206doi: 10.1038/s41597-021-00996-7.
Barbar, M., Mallapragada, D. S., Alsup, M., & Stoner, R. (2021). Author Correction: Scenarios of future Indian electricity demand accounting for space cooling and electric vehicle adoption. Scientific data, 8(1), 206. https://doi.org/10.1038/s41597-021-00996-7
Barbar, Marc, et al. "Author Correction: Scenarios of future Indian electricity demand accounting for space cooling and electric vehicle adoption." Scientific data vol. 8,1 (2021): 206. doi: https://doi.org/10.1038/s41597-021-00996-7
Barbar M, Mallapragada DS, Alsup M, Stoner R. Author Correction: Scenarios of future Indian electricity demand accounting for space cooling and electric vehicle adoption. Sci Data. 2021 Jul 30;8(1):206. doi: 10.1038/s41597-021-00996-7. PMID: 34330931; PMCID: PMC8324800.
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An annotated T2-weighted magnetic resonance image collection of testicular germ and non-germ cell tumors.

Scientific data

Feliciani G, Mellini L, Loi E, Piccinini F, Galeotti R, Sarnelli A, Parenti GC.
PMID: 34354085
Sci Data. 2021 Aug 05;8(1):209. doi: 10.1038/s41597-021-00990-z.

Testicular cancer is a rare tumor with a worldwide incidence that has increased over the last few decades. The majority of these tumors are testicular non-germ (TNGCTs) and germ cell tumors (TGCTs); the latter divided into two broad classes...

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Feliciani G, Mellini L, Loi E, et al. An annotated T2-weighted magnetic resonance image collection of testicular germ and non-germ cell tumors. Sci Data. 2021;8(1):209doi: 10.1038/s41597-021-00990-z.
Feliciani, G., Mellini, L., Loi, E., Piccinini, F., Galeotti, R., Sarnelli, A., & Parenti, G. C. (2021). An annotated T2-weighted magnetic resonance image collection of testicular germ and non-germ cell tumors. Scientific data, 8(1), 209. https://doi.org/10.1038/s41597-021-00990-z
Feliciani, Giacomo, et al. "An annotated T2-weighted magnetic resonance image collection of testicular germ and non-germ cell tumors." Scientific data vol. 8,1 (2021): 209. doi: https://doi.org/10.1038/s41597-021-00990-z
Feliciani G, Mellini L, Loi E, Piccinini F, Galeotti R, Sarnelli A, Parenti GC. An annotated T2-weighted magnetic resonance image collection of testicular germ and non-germ cell tumors. Sci Data. 2021 Aug 05;8(1):209. doi: 10.1038/s41597-021-00990-z. PMID: 34354085; PMCID: PMC8342409.
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Gridded daily weather data for North America with comprehensive uncertainty quantification.

Scientific data

Thornton PE, Shrestha R, Thornton M, Kao SC, Wei Y, Wilson BE.
PMID: 34301954
Sci Data. 2021 Jul 23;8(1):190. doi: 10.1038/s41597-021-00973-0.

Access to daily high-resolution gridded surface weather data based on direct observations and over long time periods is essential for many studies and applications including vegetation, wildlife, soil health, hydrological modelling, and as driver data in Earth system models....

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Thornton PE, Shrestha R, Thornton M, et al. Gridded daily weather data for North America with comprehensive uncertainty quantification. Sci Data. 2021;8(1):190doi: 10.1038/s41597-021-00973-0.
Thornton, P. E., Shrestha, R., Thornton, M., Kao, S. C., Wei, Y., & Wilson, B. E. (2021). Gridded daily weather data for North America with comprehensive uncertainty quantification. Scientific data, 8(1), 190. https://doi.org/10.1038/s41597-021-00973-0
Thornton, Peter E, et al. "Gridded daily weather data for North America with comprehensive uncertainty quantification." Scientific data vol. 8,1 (2021): 190. doi: https://doi.org/10.1038/s41597-021-00973-0
Thornton PE, Shrestha R, Thornton M, Kao SC, Wei Y, Wilson BE. Gridded daily weather data for North America with comprehensive uncertainty quantification. Sci Data. 2021 Jul 23;8(1):190. doi: 10.1038/s41597-021-00973-0. PMID: 34301954; PMCID: PMC8302764.
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Showing 877 to 880 of 880 entries