BUSCADOR RECOLECTA

Peer reviewed

S.1. Deposition conditions and initial characterization. -- S.2. High resolution transmission electron microscopy (HRTEM). -- S.3. Electron energy loss spectroscopy (EELS) and positron annihilation lifetime spectroscopy (VEPALS). -- S.4. Partial fluorescence yield for X-ray absorption spectroscopy (XAS) and x-ray magnetic circular dichroism (XMCD)., Peer reviewed

Figure S1: Contact angle of a) W-SnO2 on ITO without prior cleaning b) After cleaning with DI water c) B-SnO2 on ITO without prior cleaning d) After cleaning with DI wáter. -- Figure S2: SEM cross-section images of perovskite layer on a) B-SnO2 b) W-SnO2. -- Figure S3: Scanning electron microscopy -top view images a) ITO substrate; b) B-SnO2 on ITO ;C) W-SnO2 on ITO. -- Figure S4: Contact angle of perovskite solution on a) W-SnO2 without UV-ozone treatment b) W-SnO2 with UVozone treatment c) B-SnO2 without UV-ozone treatment d) B-SnO2 with UV-ozone treatment. -- Figure S5: Images of slot die coated SnO2 a) W-SnO2 b) B-SnO2 Corresponding power conversion efficiency v/s pump rate graph c) W-SnO2 based cell d) B-SnO2 based cell. -- Figure S6: X-Ray Photoelectron spectroscopy of SnO2 in comparison with bare ITO. -- Figure S7: X-Ray Photoelectron spectroscopy of B-SnO2 before and after soft touch. -- Figure S8: Best JV curves for different amounts of KF addition to SnO2 dispersion. -- Table S1 Parameters extracted from best JV Curves (Figure S8). -- Figure S9: Stability of solar cells over several weeks. Conditions: storage in dry nitrogen atmosphere (< 10% RH) in the dark. -- Figure S10: Statistical distribution of solar cell parameters (PCE, FF, Jsc and Voc) B-SnO2 (Black), W-SnO2(Red), WKF-SnO2(Green). -- Fig. S11 UPS spectra of valence band region (left) and secondary electron cutoff region (right) (a) WSnO2, (b) W-SnO2-KF (c) B-SnO2 energy. -- Fig. S12 Tauc plot a) B-SnO2 b) W-SnO2 c) WKF-SnO2. -- Table S2: UPS parameters for SnO2 films. -- Fig S13: Energy diagram respect to the vacuum energy (Evac) summarizing the energy level extracted UPS spectra, optical bandgap (Eg) (by UV-vis spectroscopy). -- Fig. S14 Nyquist plot of SnO2 measured at 0.80 V under the dark. -- Table S3. Series resistance and recombination resistance of Solar cells., Peer reviewed

Climate change is exerting significant negative impacts on various sectors, with livestock farming being particularly affected. One of the most pressing challenges in this context is the growing shortage in the availability of conventional fodder. This scarcity has intensified the search for alternative feed sources, with particular interest in underutilized resources often considered waste due to limited knowledge of their nutritional value. This study aimed to assess whether watermelon plant silage (WPS) could be used as a forage source in ruminants. The chemical composition of WPS and alfalfa hay (AH) was analyzed. Results showed similar protein content (21.1 vs. 18.9 g CP/100 g DM, respectively), with WPS exhibiting higher crude fat content (3.16 vs. 1.29 g/100 g DM) but lower hemicellulose (9.95 vs. 14.6 g/100 g DM) and cellulose (20.0 vs. 26.8 g/100 g DM) content compared to AH. In the first in vitro trial, WPS and AH were incubated independently to compare their fermentation behavior. WPS produced a higher concentration of short chain fatty acids (SCFA) (65.9 vs. 61.0 mM; P = 0.304), lower proportions of propionate (P = 0.001), and higher proportions of isobutyrate (P = 0.001). In a second in vitro trial, a formulated goat diet (commercial concentrate and AH in a 1:1 ratio) was used as a control to assess the impact of replacing 25% and 50% of AH with WPS. Trends towards higher value were observed in pH and CH4 concentration as AH was replaced by WPS. The study concluded that WPS could serve as a viable fodder to replace AH in conventional goat diets, simultaneously reducing agricultural waste and serving as a regenerative model for implementing circular economy strategies in affected agronomic sectors, This study was supported by the Spanish Ministry of Science and Innovation through the project PID2020-119746RB-I00 (MCIN/ AEI /10.13039/501100011033)., Peer reviewed

S1. Lead UPD CVs on different single facets. -- S2. Electro-roughening treatment in 0.1 M halide solution. -- S3. Scanning electron microscopy of a Cu(poly) electrode. -- S4. Effect of the substrate on the formation of motifs on copper and surface corrosion. -- S5. Surface modification with 0.1 M NaF. Stability test of the modified surface. -- S6. Additional SEM and XPS of surfaces modified with NaF + NaCl solutions. -- S7. Effect of non-specifically adsorbed anions on the copper reconstruction., Peer reviewed

A tenet of ecology is that temporal variability in ecological structure and processes tends to decrease with increasing spatial scales (from locales to regions) and levels of biological organization (from populations to communities). However, patterns in temporal variability across trophic levels and the mechanisms that produce them remain poorly understood. Here we analyzed the abundance time series of spatially structured communities (i.e., metacommunities) spanning basal resources to top predators from 355 freshwater sites across three continents. Specifically, we used a hierarchical partitioning method to disentangle the propagation of temporal variability in abundance across spatial scales and trophic levels. We then used structural equation modeling to determine if the strength and direction of relationships between temporal variability, synchrony, biodiversity, and environmental and spatial settings depended on trophic level and spatial scale. We found that temporal variability in abundance decreased from producers to tertiary consumers but did so mainly at the local scale. Species population synchrony within sites increased with trophic level, whereas synchrony among communities decreased. At the local scale, temporal variability in precipitation and species diversity were associated with population variability (linear partial coefficient, β = 0.23) and population synchrony (β = -0.39) similarly across trophic levels, respectively. At the regional scale, community synchrony was not related to climatic or spatial predictors, but the strength of relationships between metacommunity variability and community synchrony decreased systematically from top predators (β = 0.73) to secondary consumers (β = 0.54), to primary consumers (β = 0.30) to producers (β = 0). Our results suggest that mobile predators may often stabilize metacommunities by buffering variability that originates at the base of food webs. This finding illustrates that the trophic structure of metacommunities, which integrates variation in organismal body size and its correlates, should be considered when investigating ecological stability in natural systems. More broadly, our work advances the notion that temporal stability is an emergent property of ecosystems that may be threatened in complex ways by biodiversity loss and habitat fragmentation., Code and data to reproduce the results in Siqueira et al. (submitted) published as a Preprint (https://doi.org/10.32942/osf.io/mpf5x) The full set of results, including those made available as supplementary material, can be reproduced by running five scripts in the R_codes folder following this sequence: 01_Dataprep_stability_metrics.R 02_SEM_analyses.R 03_Stab_figs.R 04_Stab_supp_m.R 05_Sensit_analysis.R and using the data available in the Input_data folder. The original raw data made available include the abundance (individual counts, biomass, coverage area) of a given taxon, at a given site, in a given year. See details here https://doi.org/10.32942/osf.io/mpf5x However, this is a collaborative effort and not all authors are allowed to share their raw data. One data set (LEPAS), out of 30, was not made available due to data sharing policies of The Ohio Division of Wildlife (ODOW). So, in code "01_Dataprep_stability_metrics.R" all data made available are imported, except the LEPAS data set. For this specific data set, code "01_Dataprep_stability_metrics.R" imports variability and synchrony components estimated using the methods described in Wang et al. (2019 Ecography; doi/10.1111/ecog.04290), diversity metrics (alpha and gamma diversity), and some variables describing the data set. A protocol for requesting access to the LEPAS data sets can be found here: https://ael.osu.edu/researchprojects/lake-erie-plankton-abundance-study-lepas Dataset owner: Ohio Department of Natural Resources – Division of Wildlife, managed by Jim Hood, Dept. of Evolution, Ecology, and Organismal Biology, The Ohio State University. Email: hood.211@osu.edu Anyone who wants to reproduce the results described in the preprint can just download the whole R project (that includes code and data) and run codes from 01 to 05. I am making the whole R project folder (with everything needed to reproduce the results) available as a compressed file., Peer reviewed

Supplementary experimental: Characterization of ultrasmall (us-GO) and large graphene oxide (L-GO) nanosheets; Additional physicochemical characterization of ultrasmall and large-graphene oxide nanosheets. -- Supplementary Results: GO nanosheets characterization; Influence of the nanosheet dimensions on the structural properties of GO film; Electrochemical characterization of bare Au; Frequency response of rGO electrodes: the role of diffusion-limited ion transport. -- References, Peer reviewed

The data to reproduce graphs in the paper: Enhanced mixing and reaction at fluid stagnation points: theory and pore scale imaging, Mixing fronts at the interface of opposing flows are compressed at a constant rate. The resulting exponential stretching of fluid elements leads to enhanced chemical gradients and biogeochemical processes. This process is similar as what occurs in the pore space of 3D chaotic flows. However, it is so far not known how such fluid compression controls the amplitude of mixing and reaction rates in porous media. Here we derive analytical predictions for the mixing width, the maximum reaction rate and the reaction intensity in compressed mixing fronts as a function of the Péclet and Damköhler numbers. We developed an experimental setup providing pore scale measurements of mixing and reaction rates in mixing fronts at the interface of converging flows. The theory accurately predicts the scaling of mixing and reaction with the Péclet number both in porous micromodels and simple Hele-Shaw cells. Additionally, we found that the presence of pore scale heterogeneities in the porous micromodels enhances reaction rates by a factor of 4 compared to the Hele-Shaw cells. Using numerical simulations of pore scale velocity fields, we attributed this phenomenon to the enhancement of pore-scale compression due to the presence of grains in accelerating flows. These findings provide new insights into the dynamics of mixing-induced reactions in porous media., Funding for this study was provided by European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant Agreement No 722028 to the project ENIGMA (European training Network for In situ imaGing of dynaMic processes in heterogeneous subsurfAce environments) and by ANR JCJC SUCHY ANR-19-CE01-0013, as well as the CPER (Contrat de Plan État-Région) BUFFON for part of the equipment. We acknowledge funding by ERC project ReactiveFront 648377., Peer reviewed

Template Version 3.0 # Encoding: UTF-8 # NOTE: Please cite Publication, and Online_Resource and date accessed when using these data. # If there is no publication information, please cite Investigators, Title, and Online_Resource and date accessed. # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/29593 # Description: NOAA Landing Page # Online_Resource: https://www.ncei.noaa.gov/pub/data/paleo/reconstructions/iso2k/readme-iso2k.txt # Description: NOAA location of the template # # Original_Source_URL: # Description: # # Description/Documentation lines begin with # # Data lines have no # # # Data Type: Climate Reconstructions # # Dataset DOI: 10.25921/57j8-vs18 # # Parameter_Keywords: precipitation #-------------------- # Contribution_Date # Date: 2020-07-07 #-------------------- # File_Last_Modified_Date # Date: 2020-07-07 #-------------------- # Title # Study_Name: Iso2k Database Global Common Era Paleo-d18O and d2H Data #-------------------- # Investigators # Investigators: Konecky, B.L.; McKay, N.P. #-------------------- # Description_Notes_and_Keywords # Description: This directory contains the iso2k database in several forms, as well as # sample code sets that demonstrate simple usage of the database in R, matlab and python. # The datasets are available as LiPD files in the "iso2k_directory_LiPD" directory, # or as a complete set as a zip file "iso2k1_0_0.zip". They are also provided as serializations # in R (iso2k1_0_0.Rdata), matlab (iso2k1_0_0.mat), and python (iso2k1_0_0.pkl). # # It is anticipated that this database will continue to evolve, as new datasets are added # (both new studies and previous records that have been missed) and existing data or metadata are extended, # or as necessary, corrected. Readers who know of missing datasets are asked to submit them directly through # http://lipd.net/playground. Database users who find errors in individual datasets can submit proposed edits # using the "Edit LiPD file" function at http://lipdverse.org/iso2k/current_version/, or they can use the # "Report an issue" option for errors that apply to multiple datasets. # # More detailed instructions for dataset submission and a link to a LiPD entry template hosted through # http://lipd.net/playground will be added to this landing page (https://www.ncdc.noaa.gov/paleo/study/29593) # when they become available. # #-------------------- # Publication # Authors: Konecky, B.L., McKay, N.P., Churakova (Sidorova), O.V., Comas-Bru, L., Dassié, E.P., DeLong, K.L., Falster, G.M., Fischer, M.J., Jones, M.D., Jonkers, L., Kaufman, D.S., Leduc, G., Managave, S.R., Martrat, B., Opel, T., Orsi, A.J., Partin, J.W., Sayani, H.R., Thomas, E.K., Thompson, D.M., Tyler, J.J., Abram, N.J., Atwood, A.R., Cartapanis, O., Conroy, J.L., Curran, M.A., Dee, S.G., Deininger, M., Divine, D.V., Kern, Z., Porter, T.J., Stevenson, S.L., von Gunten, L., and Iso2k Project Members # Published_Date_or_Year: 2020-09-23 # Published_Title: The Iso2k database: a global compilation of paleo-d18O and d2H records to aid understanding of Common Era climate # Journal_Name: Earth System Science Data # Volume: 12 # Edition: # Issue: 3 # Pages: 2261-2288 # Report_Number: # DOI: 10.5194/essd-12-2261-2020 # Online_Resource: https://essd.copernicus.org/articles/12/2261/2020/ # Full_Citation: # Abstract: Reconstructions of global hydroclimate during the Common Era (CE; the past ~2000 years) are important for providing context for current and future global environmental change. Stable isotope ratios in water are quantitative indicators of hydroclimate on regional to global scales, and these signals are encoded in a wide range of natural geologic archives. Here we present the Iso2k database, a global compilation of previously published datasets from a variety of natural archives that record the stable oxygen (d18O) or hydrogen (d2H) isotopic compositions of environmental waters, which reflect hydroclimate changes over the CE. The Iso2k database contains 759 isotope records from the terrestrial and marine realms, including glacier and ground ice (210); speleothems (68); corals, sclerosponges, and mollusks (143); wood (81); lake sediments and other terrestrial sediments (e.g., loess) (158); and marine sediments (99). Individual datasets have temporal resolutions ranging from sub-annual to centennial and include chronological data where available. A fundamental feature of the database is its comprehensive metadata, which will assist both experts and nonexperts in the interpretation of each record and in data synthesis. Key metadata fields have standardized vocabularies to facilitate comparisons across diverse archives and with climate-model-simulated fields. This is the first global-scale collection of water isotope proxy records from multiple types of geological and biological archives. It is suitable for evaluating hydroclimate processes through time and space using large-scale synthesis, model-data intercomparison and (paleo) data assimilation. The Iso2k database is available for download at https://doi.org/10.25921/57j8-vs18 (Konecky and McKay, 2020) and is also accessible via the NOAA/WDS Paleo Data landing page: https://www.ncdc.noaa.gov/paleo/study/29593. #------------------ # Funding_Agency # Funding_Agency_Name: US National Science Foundation # Grant: AGS 1805141, 1433408 #------------------ # Site_Information # Site_Name: Global # Location: Geographic Region>Global # Country: # Northernmost_Latitude: 90 # Southernmost_Latitude: -90 # Easternmost_Longitude: 180 # Westernmost_Longitude: -180 # Elevation: #------------------ # Data_Collection # Collection_Name: Iso2k # Earliest_Year: 0 # Most_Recent_Year: 2000 # Time_Unit: Year CE # Core_Length: # Notes: #------------------ # Chronology_Information # Chronology: # #---------------- # Variables # # Data variables follow are preceded by "##" in columns one and two. # Data line variables format: one per line, shortname-tab-variable components (what, material, error, units, seasonality, data type,detail, method, C or N for Character or Numeric data, free text), The response of the global water cycle to changes in global surface temperature remains an outstanding question in future climate projections and in past climate reconstructions. The stable hydrogen and oxygen isotope compositions of precipitation (δprecip), meteoric water (δMW) and seawater (δSW) integrate processes from microphysical to global scales and thus are uniquely positioned to track global hydroclimate variations. Here we evaluate global hydroclimate during the past 2,000 years using a globally distributed compilation of proxies for δprecip, δMW and δSW. We show that global mean surface temperature exerted a coherent influence on global δprecip and δMW throughout the past two millennia, driven by global ocean evaporation and condensation processes, with lower values during the Little Ice Age (1450–1850) and higher values after the onset of anthropogenic warming (~1850). The Pacific Walker Circulation is a predominant source of regional variability, particularly since 1850. Our results demonstrate rapid adjustments in global precipitation and atmospheric circulation patterns—within decades—as the planet warms and cools., Iso2k is a contribution to Phase 3 and 4 of the PAGES 2k Network. PAGES received support from the Swiss Academy of Sciences, the US National Science Foundation and the Chinese Academy of Sciences. Support for this work includes NSF-AGS 1805141, NSF-AGS PRF 1433408 and a David and Lucile Packard Foundation Fellowship in Science and Engineering to B.L.K.; NSF-1948746 to N.P.M.; Australian Research Council through a Discovery Project (DP170100557) and the Centre of Excellence for Climate Extremes (CE170100023) to G.M.F.; NSF-AGS 1805143 and NSF-OCE-2202794 to S.L.S.; NSF-CAREER 2145725, NSF 2103035 and NSF 2002444 to A.R.A.; NSF-CAREER 1945479, NSF 1931242 and NSF 2002460 to D.M.T.; Australian Research Council Discovery Project DP190102782 to J.J.T.; South Central Climate Adaptation Science Center Cooperative Agreement G19AC00086, NSF-2102931 and NSF-1805702 to K.L.D.; RYC‐2013‐14073 programme and LINKA20102 and CEX2018‐000794‐S projects to B.M.; NSF-EAR PRF 1349595, NSF-EAR-IF 1652274, NSF-OPP 1504267, NSF-OPP 1737716 and NSF-CAREER 2044616 to E.K.T.; NSF-CAREER 1847791 to J.L.C.; National Oceanic and Atmospheric Administration award number NA18OAR4310427 to S.G.D.; PalMod, the German palaeoclimate modelling initiative, part of the Research for Sustainable Development initiative funded by the German Federal Ministry of Education and Research (BMBF; 01LP1922A) to L.J.; RSF project 21-17-00006 to O.V.C.(S.); German Research Foundation grants OP217/2-1, OP217/3-1, OP217/4-1 to T.O.; Natural Sciences and Engineering Research Council of Canada Discovery Grant RGPIN-2016-06730 to T.J.P.; Australian Research Council Project (LP210300691) to G.S.; Australian Research Council through a Future Fellowship (FT160100029), Special Research Initiative for the Australian Centre for Excellence in Antarctic Science (SR200100008) and the Centre of Excellence for Climate Extremes (CE170100023) to N.J.A; Natural Sciences and Engineering Research Council of Canada Discovery Grant RGPIN-2021-03888 to A.J.O.; and Australian Antarctic Science (AAS) grants 757, 4061, 4062 and 4537 to M.C. and A.M., Peer reviewed

nstallation: pip can be used for the installation: pip install isocompy Alternatively, download the isocompy folder and add it to lib folder in python path alongside other python libraries., Isotopic composition modelling is a key aspect in many environmental studies. This work presents Isocompy, an open source Python library that estimates isotopic compositions through machine learning algorithms with user-defined variables. Isocompy includes dataset preprocessing, outlier detection, statistical analysis, feature selection, model validation and calibration and postprocessing. This tool has the flexibility to operate with discontinuous inputs in time and space. The automatic decision-making procedures are knitted in different stages of the algorithm, although it is possible to manually complete each step. The extensive output reports, figures and maps generated by Isocompy facilitate the comprehension of stable water isotope studies. The functionality of Isocompy is demonstrated with an application example involving the meteorological features and isotopic composition of precipitation in N Chile, which are compared with the results produced in previous studies. In essence, Isocompy offers an open source foundation for isotopic studies that ensures reproducible research in environmental fields., Peer reviewed