Coral skeletal proxy records database for the Great Barrier Reef, Australia.

Autor: Arzey, Ariella K.^1,2 (AUTHOR) aka548@uowmail.edu.au, McGregor, Helen V.^1,2 (AUTHOR), Clark, Tara R.^2,3 (AUTHOR), Webster, Jody M.⁴ (AUTHOR), Lewis, Stephen E.⁵ (AUTHOR), Mallela, Jennie⁶ (AUTHOR), McKay, Nicholas P.⁷ (AUTHOR), Fahey, Hugo W.^1,2 (AUTHOR), Chakraborty, Supriyo^8,9 (AUTHOR), Razak, Tries B.^10,11 (AUTHOR), Fischer, Matt J.¹² (AUTHOR)

Publikováno v: Earth System Science Data. 2024, Vol. 16 Issue 10, p4869-4930. 62p.

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The CoralHydro2k database: a global, actively curated compilation of coral δ18O and Sr / Ca proxy records of tropical ocean hydrology and temperature for the Common Era.

Autor: Walter, Rachel M.^1,2 (AUTHOR), Sayani, Hussein R.^1,2 (AUTHOR) hsayani@gatech.edu, Felis, Thomas³ (AUTHOR), Cobb, Kim M.² (AUTHOR), Abram, Nerilie J.^4,5 (AUTHOR), Arzey, Ariella K.⁶ (AUTHOR), Atwood, Alyssa R.⁷ (AUTHOR), Brenner, Logan D.⁸ (AUTHOR), Dassié, Émilie P.⁹ (AUTHOR), DeLong, Kristine L.¹⁰ (AUTHOR), Ellis, Bethany^4,11 (AUTHOR), Emile-Geay, Julien¹² (AUTHOR), Fischer, Matthew J.¹³ (AUTHOR), Goodkin, Nathalie F.¹⁴ (AUTHOR), Hargreaves, Jessica A.^3,4,5 (AUTHOR), Kilbourne, K. Halimeda¹⁵ (AUTHOR), Krawczyk, Hedwig¹⁶ (AUTHOR), McKay, Nicholas P.¹⁷ (AUTHOR), Moore, Andrea L.⁷ (AUTHOR), Murty, Sujata A.¹⁸ (AUTHOR)

Publikováno v: Earth System Science Data. 2023, Vol. 15 Issue 5, p2081-2116. 36p.

PaCTS 1.0: A Crowdsourced Reporting Standard for Paleoclimate Data

Autor: Khider, D., Emile‐Geay, J., McKay, N. P., Gil, Y., Garijo, D., Ratnakar, V., Alonso‐Garcia, M., Bertrand, S., Bothe, O., Brewer, P., Bunn, A., Chevalier, M., Comas‐Bru, L., Csank, A., Dassié, E., DeLong, K., Felis, T., Francus, P., Frappier, A., Gray, W., Goring, S., Jonkers, L., Kahle, M., Kaufman, D., Kehrwald, N. M., Martrat, B., McGregor, H., Richey, J., Schmittner, A., Scroxton, N., Sutherland, E., Thirumalai, K., Allen, K., Arnaud, F., Axford, Y., Barrows, T., Bazin, L., Pilaar Birch, S. E., Bradley, E., Bregy, J., Capron, E., Cartapanis, O., Chiang, H.‐W., Cobb, K. M., Debret, M., Dommain, R., Du, J., Dyez, K., Emerick, S., Erb, M. P., Falster, G., Finsinger, W., Fortier, D., Gauthier, Nicolas, George, S., Grimm, E., Hertzberg, J., Hibbert, F., Hillman, A., Hobbs, W., Huber, M., Hughes, A. L. C., Jaccard, S., Ruan, J., Kienast, M., Konecky, B., Le Roux, G., Lyubchich, V., Novello, V. F., Olaka, L., Partin, J. W., Pearce, C., Phipps, S. J., Pignol, C., Piotrowska, N., Poli, M.‐S., Prokopenko, A., Schwanck, F., Stepanek, C., Swann, G. E. A., Telford, R., Thomas, E., Thomas, Z., Truebe, S., Gunten, L., Waite, A., Weitzel, N., Wilhelm, B., Williams, J., Williams, J. J., Winstrup, M., Zhao, N., Zhou, Y.

The progress of science is tied to the standardization of measurements, instruments, and data. This is especially true in the Big Data age, where analyzing large data volumes critically hinges on the data being standardized. Accordingly, the lack of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f691ef47503a3d095e68a4c3f61554c3

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