BUSCADOR RECOLECTA

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All methodological information is in the paper "Optimal wave reflection as mechanism for seagrass self-organization" by Roeland C. van de Vijsel, Emilio Hernández-García, Alejandro Orfila, Damià Gomila to appear in Scientific Reports., Whenever you use any part of the data (scripts, figures, raw and processed data) described in this README-file, please make sure to correctly refer to this dataset, the manuscript described above and its authors., Full data set used for the following manuscript: Optimal wave reflection as mechanism for seagrass self-organization by R.C. van de Vijsel, E. Hernández-García, A. Orfila, D. Gomila, to appear in Scientific Reports (2023). The data set contains all the necessary codes and simulation and raw data to reproduce the results discussed in the associated manuscript. Folder "Figure scripts" contains the Matlab codes and associate raw data to generates all the figures of the manuscript. Folder "v28" contains the Matlab scripts that calculate uniform basic state for a given set of model parameters and numerically time-integrate the perturbation equations. It also contains all simulation results and figures, generated with the above Matlab scripts. Folders "v33" to "v39" contain variations of the codes in "v28"., Project CYCLE (PID2021-123723OB-C22) funded by MCIN/AEI/10.13039/501100011033 and ERDF “A way of making Europe”; María de Maeztu project CEX2021-001164-M618 funded by the MCIN/AEI/10.13039/501100011033; European Union’s Horizon 2020 research and innovation programme (Grant agreement ID: 101093910, Ocean Citizen). Project LAMARCA (PID2021-123352OB-C31 and PID2021-123352OB-C32) funded by MICIN/AEI621/FEDER, UE; Project Tech2Coast (TED2021-130949B-I00) funded by MCIN/AEI,EU “NextGenerationEU/PRTR”., With funding from the Spanish government through the "Severo Ochoa Centre of Excellence" accreditation (CEX2021-001164-M618)., Please, see data_description.pdf file., Peer reviewed

4 pages. -- Fig. S1. Workflow including the main components of this study: the digital cities inferred from multiple data sources and the modeling software COVASIM. -- Data available from scientific literature. -- Data available from national sources. -- Data available from regional/local sources., Peer reviewed

178 pages. -- The PDF file includes: Materials and Methods. -- Figs. S1 to S11. -- Tables S1 to S13. -- MDAR Reproducibility Checklist., Peer reviewed

Spanish National Research Council (CSIC, España); Agritech National Research Center (Italia); European Union Next-GenerationEU: Piano Nazionale di Ripresa e Resilienza (PNRR) Comisión Europea; PON "Ricerca E Innovazione” 2014–2020 research contract (Azione IV.5—E69J21011360006 and Azione IV.6—CUP E61B21004280005); Ministero dell’Università e della Ricerca (Italia), Peer reviewed

7 pages. -- Supplementary Figure S1: Graphical description of the experiments conducted in three different stages. -- Supplementary Figure S2: Biomass content of each intestine in relation to its length by fresh and dry weight, and total non-incinerated inorganic content. -- Supplementary Figure S3: Rarefaction curves of the distinct datasets used in the study., Peer reviewed

3 pages. -- Contents of this file: 1. Figures S1 to S2. -- 2. Text S3., In this Supplementary Information document, two extra figures with their captions are included, as well as an extra text describing model limitations., Peer reviewed

8 pages. -- Figures S1-S14., Peer reviewed

This repository holds the data used in the study entitled "Inertial oscillations and frontal processes in an Alboran Sea jet: Effects on divergence and vertical transport" which is being submitted to the Journal of Geophysical Research: Oceans (first submission: August 2022). -- This study reports on the wind response interaction with an ocean current jet in geostrophic balance. The primary objective of the study is to better understand the potential role played by Near Inertial Oscilations (NIOs) in generating vertical transport in the upper ocean. -- This dataset includes near-surface drifters' tracks (CARTHE and SVP), vessel mounted ADCP (Acoustic Doppler Current Profiler) and underway CTD (Conductivity, Temperature and Depth) as well as data generated by an idealised numerical model (slab-layer type). -- Details of the files are provided in a README.txt and details on the data processing and analysis are provided in the manuscript to be published., This work has been supported and co-financed by the CALYPSO project, within the Office of Naval Research Departmental Research Initiative, under the following grants: N00014-18-1-2782 and N00014-22-1-2039 (GE,SD,MB,AG), N00014-18-1-2139 (AYS,EAD), N00014-18-1-2138 (TO), N00014-18-1-2418 and N00014-20-1-2754 (PMP), N00014-19-1-2692 and N00014-19-1-2380 (LC and part of the drifter data collection/analysis), N00014-18-1-2431 (JTF), N00014-18-1-2416 (TMSJ), N00014-16-1-3130 (AP,DRT,SR), N00014-21-1-2702 (AM). MF was supported by the Scripps Institutional Postdoctoral Fellowship (MAF). Investigation of front dynamics in the Mediterranean Sea from multiplatform observations is supported as well by the European Union's JERICO-S3 project through Grant 871153. Open Access Funding provided by Consiglio Nazionale delle Ricerche within the CRUI-CARE Agreement., CALYPSO2019_CARTHEs_tracks.csv, CALYPSO2019_OS150_Apr2.nc, CALYPSO2019_OS150_Apr5_Ct.nc, CALYPSO2019_OS150_Apr5_Nt.nc, CALYPSO2019_OS150_Apr5_St.nc, CALYPSO2019_OS150_shiptracks.csv, CALYPSO2019_SLAB.nc, CALYPSO2019_SVPs_tracks.csv, CALYPSO2019_UCTD_Apr5_Ct.nc, CALYPSO2019_UCTD_Apr5_Nt.nc, CALYPSO2019_UCTD_Apr5_St.nc, Peer reviewed

5 pages. -- Table S1.1. Notation and biological meaning of data and of parameters of interest. -- Table S1.2. Growth and CJS model parameters, priors, and estimates from the best model. -- Figure S1.1. Effcts of sex and body size (SVL) on survival and recapture probability. Points represent posterior means. Thick and thin lines represent 50% and 95% credible intervals, respectively. -- Figure S1.2. Traceplots and posterior distributions of growth parameters used to check possible bimodality. Asym = asymptoptic size, K= growth coefficient., Peer reviewed