BUSCADOR RECOLECTA

Global Extra-tropical Circulation Database based on the Jenkinson-Collison Classification calculated with 6-hourly mean sea-level pressure fields from several reanalysis datasets. This dataset is the result of an extension of the Jenkinson-Collison circulation type classification to the entire globe, including a modification of its original formulation for the southern hemisphere., Peer reviewed

Document S1. Methods S1. Document S2. Figures S1–S4., Peer reviewed

In this document are included the raw and treated scientific data associated with the publication: A. Lancelot, M. E. Meger, E. Guerreiro Gómez, T. Sierra, J. J. Wilker, Adhesion of Catechol-Functionalized Linear-Dendritic Block Copolymers: Dendritic Effect, Self-Assembly, and Bioadhesion. Adv. Funct. Mater. 2024, 2413398. https://doi.org/10.1002/adfm.202413398, Adhesion data: - Adhesion data point file in csv file - Adhesion curve in pdf file - Calculations for adhesion mean value and standard deviation, Chemical characterization: - FTIR spectrum in csv file - 1H NMR spectrum in mnova file - 1H NMR spectrum in pdf file - SEC data point file in csv file, DSC curves: - DSC curves and derivatives in xlsx file, Microscopy images: - 5 representative cryoSEM images of the hydrogel in tif file - 5 representative cryoTEM images of the aggregates in tif file - 3 representative SEM images of the aggregates in tif file, Viscosity curves: - viscosity curves in xlxs file, Peer reviewed

Links to other publicly accessible locations of the data: https://www.videpi.com/ (in original scanned paper format).-- https://www.videpi.com/videpi/cessati/sismica_titoli.asp, The dataset include five seismic reflection profiles, collected for commercial exploration during the '80s, which have been selected across "The Alto Tiberina Near Fault Observatory area (NFO TABOO)". The source data is currently available in the Italian repository VIDEPI (videpi.com) in pdf format, scanned from the original paper copies of the seismic profiles. Such format makes the data often difficult to be Found and Accesses, as well as making them not Inter-operable and Re-usable, as recommended by FAIR policy. This policy characterizes the EPOS infrastructure (https://www.epos-eu.org/dataportal), funder of such a digitalization pilot project accomplished by UniPG, which is also collaborating with the CSIC and other institutions in the framework of EPOS to make active seismic profiles publicy available in this portal. The new digitized data will enable the users to re-use them to enhance their quality and interpretability, as well as to better integrated them in the geological studies related to the NFO TABOO (https://taboo.ingv.it/)., European Plate Observing System (EPOS), Title: "Un nuovo data-base integrato e fruibile di dati geologici e geofisici di sottosuolo per i Near Fault Observatories italiani: il caso pilota “TABOO”. Obiettivo 2 - Piano Esecutivo 2024 della JRU EPOS ITALIA., PER-7EXT-83_gpkg.zip (Geopackage files EPSG:32633, profile track and shot points location) PER-7EXT-83.tif PER-7EXT-83.SGY (digitized seismic profile) PER-7EXT-83_aux (auxiliary data: acquisition and processing information) PER-7EXT-83_ancillary.zip (ancillary data: elevation and datum correction) PER-8-83_gpkg.zip (Geopackage files EPSG:32633, profile track and shot points location) PER-8-83.tif PER-8-83.SGY (digitized seismic profile) PER-8-83_aux (auxiliary data: acquisition and processing information) Per-8-83_ancillary.zip (ancillary data: elevation and datum correction) PER-9-83_gpkg.zip (Geopackage files EPSG:32633, profile track and shot points location) PER-9-83.tif PER-9-83.SGY (digitized seismic profile) PER-9-83_aux (auxiliary data: acquisition and processing information) Per-9-83_ancillary.zip (ancillary data: elevation and datum correction) PG-301-81V-stack_gpkg.zip (Geopackage files EPSG:32633, profile track and shot points location) PG-301-81v.tif PG-301-81V.SGY (digitized seismic profile) PG-301-81V-stack_aux (auxiliary data: acquisition and processing information) AN-334-84-stack_gpkg-zip (Geopackage files EPSG:32633, profile track and shot points location) AN-334-84.tif AN-334-84-stack_aux (auxiliary data: acquisition and processing information) AN-334-84.SGY (digitized seismic profile), Peer reviewed

1 file.-- Documental científico submarino, El objetivo principal del Proyecto ProCoast (New multisensor PROfiling float technology to study COASTal upwelling ecosystems), del Programa de Ciencias Mariñas de Galicia (PT3.1), es la adaptación y optimización de perfiladores tipo Argo a zonas costeras. Participan Instituto de Investigaciones Marinas (IIM-CSIC), IEO-Coruña y CETMAR. En este vídeo se muestra el funcionamiento del perfilador PROCOAST, adaptación del modelo PROVOR CTS5, que fue instalado en el dique flotante de Marina Davila (Puerto de Vigo). Se pueden observar las diferentes fases de un perfil vertical estándar (descenso, parking, ascenso, emersión y transmisión de datos). Estos perfiladores tipo ARGO operan y están diseñados para el océano profundo (2000 m). En este vídeo se muestra la adaptaron estructural e hidráulica lograda para que, por primera vez, un perfilador ARGO funcione óptimamente en condiciones costeras (alta estratificación, <20 m de profundidad). Se han realizado más de 44 tests de configuraciones diferentes, modificando hasta 20 parámetros hidráulicos y considerando una amplia diversidad de posibilidades (resolución vertical y temporal de las medidas, duración de los perfiles, tiempos de transmisión, etc.). Durante más de 7 meses, se han obtenido más de 800 perfiles (>240.000 datos) de CTD y oxígeno, con alta resolución temporal (hasta 1 h) y vertical (hasta 10 cm), permitiendo observar con mayor detalle las condiciones hidrográficas y la variabilidad de la concentración de oxígeno en la columna de agua con un mantenimiento mínimo, Programa de Ciencias Mariñas de Galicia - Planes Complementarios en ciencias marinas (ThinkInAzul). Financiado por Ministerio de Ciencia e Innovación y Xunta de Galicia con fondos de la Unión Europea - Next GenerationEU, mediante el Plan de Recuperación, Transformación y Resiliencia (PRTR-C17.I1). Ana Tubío es personal cofinanciado por la Xunta de Galicia al amparo de la Resolución de la Axencia Galega de Innovación del 25 de marzo de 2022 (Programa Talento Senior), Peer reviewed

[Description of the data and file structure] 01_Conventional_vs_INIS_Qualitative.xlsx and 01_Conventional_vs_INIS_Quantitative.xlsx contain the values of Interaction turnover and its components estimated in 20 natural communities in Mallorca Island (Gómez-Martínez et al. 2022, Lázaro et al. 2022), following the Conventional or the INIS approach, and using Qualitative or Quantitative data. Description of each variable within the file.-- 02_SamplingEffort_Interannual.xlsx contains the values of Interaction turnover and its components between plant-pollinator interaction networks of 2016 and 2017 in Son Bosc, Mallorca Island (Lázaro et al. 2020), with an increasing sampling effort estimated by accumulating sampling days. Description of each variable within the file.-- 02_SamplingEffort_Seasonal.xlsx contains the values of Interaction turnover and its components between plant-pollinator interaction networks of different sampling days in Son Bosc, Mallorca Island (Lázaro et al. 2020), with an increasing sampling effort estimated by accumulating minutes of sampling. Description of each variable within the file.-- 03_SamplingCompleteness.xlsx contains the rewiring events of species (pollinators and plants) in 2016 and 2017 in Son Bosc, Mallorca Island (Lázaro et al. 2020) following the Conventional and the INIS approach, and the sampling completeness of interactions for each species. Description of each variable within the file., Understanding temporal dynamics in ecological networks is crucial to predicting their capability to cope with global changes. Despite this, proper quantification of network dynamics still remains a challenge. Temporal dynamics are typically studied using data of interaction networks over time, through the evaluation of interaction turnover and its two components: changes related to species turnover (species gains and losses) or rewiring (switching partners among the set of species shared over time). However, with this approach based exclusively on network data, dynamics are computed similarly for species that are truly missing from the community at a given temporal period, and for species occurring in the community but that do not interact with any other. This might lead to an underestimation of the real extent of rewiring, while overestimating the species turnover component of interaction turnover. We used data on 20 plant-pollinator communities to calculate interaction turnover components accounting also for the species that occurred in the communities at different temporal periods but did not appear in some of the temporal interaction networks (non-interacting species), and then compared these estimates with conventional ones. Besides, we used empirical data and simulations to evaluate the extent to which dynamics estimates were affected by sampling effort when including and excluding non-interacting species. As expected, disregarding the non-interacting species that occur in the communities at different temporal periods leads to the underestimation of rewiring and the overestimation of species turnover as components of interaction turnover. Effect size was moderate when independent pollinator data were included, and large when including plants or both trophic levels. Simulations indicated that, in general, considering the non-interacting species reduced biases at the time of identifying changes due to the different interaction turnover components. Accounting for non-interacting species was particularly important to reduce bias when sampling effort was low and when dynamics were calculated seasonally. Despite sampling effort effects, phenology was the main determinant of species’ rewiring frequencies. Our approach contributes to reducing biases and improving the estimates of interaction flexibility in networks, which are necessary to comprehend the response of communities in the face of global change., Spanish Ministry of Economy and Competitiveness, Spanish Research Agency & European Social Funds: PRE2018-083185. Spanish Ministry of Science, Innovation and Universities, Spanish Research Agency, European Social Funds (ESF invests in your future) & University of the Balearic Islands: RYC-2015-19034. Spanish Ministry of Science and Innovation, Feder Funds & Spanish Research Agency: CGL2017-89254-R. Spanish Ministry of Science and Innovation & Spanish Research Agency: MCIN/AEI/10.13039/501100011033., Peer reviewed

Under a Creative Commons license CC-BY 3.0, https://creativecommons.org/licenses/by/3.0/, Tables: Table S1. Experimental campaign and detailed GC characterization of the light fraction.--Table S2. Experimental campaign and detailed GC characterization of the heavy fraction.-- Tale S3. BTEX concentrations reported in the literature from the pyrolysis of ELTs.-- Table S4. Elemental and calorific analyses of the resulting heavy fraction.-- Table S5. GC/MS results of the resulting heavy fraction.-- Figures: Fig. S1. Steady-state temperature profile of the column (run # 1).-- Fig. S2. Steady-state temperature profile of the column (runs 2 and 7).-- Fig. S3. Steady-state temperature profile of the column (runs 3 and 8).-- Fig. S4. Steady-state temperature profile of the column (runs 4 and 9).-- Fig. S5. Steady-state temperature profile of the column (runs 5 and 10).-- References, This work is part of the BLACKCYCLE project (For the circular economy of tyre domain: recycling end of life tyres into secondary raw materials or tyres and other product applications) which has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement no. 869625. The authors would also like to thank the Regional Government of Aragon (DGA) for the support provided under the research groups support program and CSIC for the interdisciplinary thematic platforms SusPlast (Sustainable Plastics) and SosEcoCir (Sustainability and Circular Economy)., Peer reviewed

La tabla con el título “Phytosterol content in the kernel, kernel oil content, phytosterol content in the kernel oil, and concentration of β-sitosterol and Δ5-avenasterol in the accessions of the Spanish almond germplasm bank of CITA de Aragón” al que corresponde este registro se encuentra en la actualidad en construcción. Los datos de esta tabla son material complementario del artículo A. Fernández-Cuesta, O. Kodad, R. Socias i Company and L. Velasco. 2012. Phytosterol variability in almond germplasm. J. Amer. Soc. Hort. Sci. 137, in press que próximamente verá la luz., The table titled “Phytosterol content in the kernel, kernel oil content, phytosterol content in the kernel oil, and concentration of β-sitosterol and Δ5-avenasterol in the accessions of the Spanish almond germplasm bank of CITA de Aragón” that corresponds to this record is currently under construction. The data in this table are supplementary material of the article A. Fernández-Cuesta, O. Kodad, R. Socias i Company and L. Velasco. 2012. Phytosterol variability in almond germplasm. J. Amer. Soc. Hort. Sci. 137 that will be released soon.

Datos que se publicarán en el artículo

Conjunto de datos citado en el artículo, con el mismo título, publicado en la revista Plos One, 9(7), disponible en: http://hdl.handle.net/10532/2616