000117193 001__ 117193
000117193 005__ 20230519145501.0
000117193 0247_ $$2doi$$a10.1038/s41597-021-00952-5
000117193 0248_ $$2sideral$$a126092
000117193 037__ $$aART-2021-126092
000117193 041__ $$aeng
000117193 100__ $$0(orcid)0000-0003-3085-7040$$aDominguez-Castro, F
000117193 245__ $$aDating historical droughts from religious ceremonies, the international pro pluvia rogation database
000117193 260__ $$c2021
000117193 5060_ $$aAccess copy available to the general public$$fUnrestricted
000117193 5203_ $$aClimate proxy data are required for improved understanding of climate variability and change in the pre-instrumental period. We present the first international initiative to compile and share information on pro pluvia rogation ceremonies, which is a well-studied proxy of agricultural drought. Currently, the database has more than 3500 dates of celebration of rogation ceremonies, providing information for 153 locations across 11 countries spanning the period from 1333 to 1949. This product provides data for better understanding of the pre-instrumental drought variability, validating natural proxies and model simulations, and multi-proxy rainfall reconstructions, amongst other climatic exercises. The database is freely available and can be easily accessed and visualized via http://inpro.unizar.es/.
000117193 536__ $$9info:eu-repo/grantAgreement/EC/H2020/690462/EU/European Research Area for Climate Services/ERA4CS$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 690462-ERA4CS$$9info:eu-repo/grantAgreement/ES/MICINN/PID2019-108589RA-I00$$9info:eu-repo/grantAgreement/ES/MINECO-FEDER/CGL2017-82216-R$$9info:eu-repo/grantAgreement/ES/MINECO-FEDER/PCI2019-103631
000117193 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000117193 590__ $$a8.501$$b2021
000117193 592__ $$a2.468$$b2021
000117193 594__ $$a12.6$$b2021
000117193 591__ $$aMULTIDISCIPLINARY SCIENCES$$b12 / 74 = 0.162$$c2021$$dQ1$$eT1
000117193 593__ $$aEducation$$c2021$$dQ1
000117193 593__ $$aComputer Science Applications$$c2021$$dQ1
000117193 593__ $$aStatistics, Probability and Uncertainty$$c2021$$dQ1
000117193 593__ $$aStatistics and Probability$$c2021$$dQ1
000117193 593__ $$aLibrary and Information Sciences$$c2021$$dQ1
000117193 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000117193 700__ $$aAlcoforado, MJ
000117193 700__ $$aBravo-Paredes, N
000117193 700__ $$aFernandez-Fernandez, MI
000117193 700__ $$aFragoso, M
000117193 700__ $$aGallego, MC
000117193 700__ $$aHerrera, RG
000117193 700__ $$aGarnier, E
000117193 700__ $$aGarza-Merodio, G
000117193 700__ $$aEl Kenawy, AM
000117193 700__ $$aLatorre, B
000117193 700__ $$aNoguera, I
000117193 700__ $$aPena-Angulo, D
000117193 700__ $$aReig-Gracia, F
000117193 700__ $$aSilva, LP
000117193 700__ $$aVaquero, JM
000117193 700__ $$aSerrano, SVM
000117193 773__ $$g8, 1 (2021), 186 [8 pp]$$pSci. data$$tSCIENTIFIC DATA$$x2052-4463
000117193 8564_ $$s2352830$$uhttps://zaguan.unizar.es/record/117193/files/texto_completo.pdf$$yVersión publicada
000117193 8564_ $$s2588996$$uhttps://zaguan.unizar.es/record/117193/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000117193 909CO $$ooai:zaguan.unizar.es:117193$$particulos$$pdriver
000117193 951__ $$a2023-05-18-14:57:08
000117193 980__ $$aARTICLE