BUSCADOR RECOLECTA

1. General Procedures S3 2. Optimization and additional control experiments S4 3. Procedures for the synthesis of reaction precursors S8 4. Ir-catalyzed tandem processes S12 - General procedure B: Tandem dehydrogenation/hydroarylation of N-carbamoyl Indolines 1 with alkynes 2 for the synthesis of indoles 3aa-3ga S12 - General procedure C: Tandem dehydrogenation/hydroarylation of N-carbamoyl Indolines 1 with alkenes 5 for the synthesis of indoles 6aa-6af S22 5. Synthetic transformations based on by transition metal catalyzed C-H functionalizations S24 - Initial [4+2] annulation attempts using indole 3aa and several alkynes with palladium catalysis. S24 - Pd-promoted olefin isomerization of (E)-2-(1,2-diphenylvinyl)-1H-indole E-3aa to Z-3aa S25 - General procedure D: Rh-catalyzed [4+2] annulation between C2-alkenylated NH-indoles 3 and alkynes 2, for the synthesis of pyrido[1,2-a]indoles (7ab-7mb, exemplified for 7ab) S25 - General procedure E: Rh-catalyzed [4+1] annulation between C2-alkenylated NH-indoles 3 and CO, for the synthesis of pyrrolo[1,2-a]indole-3-one (8aa-8ai, exemplified for 8aa) S29 - Rh-catalyzed [4+1] annulation between (E)-2-(1,2-diphenylvinyl)-1H-indole 3aa and dimetildiazomalonate 9a, for the synthesis of pyrrolo[1,2-a]indole-3,3-diester 10aa S31 - General procedure F: Ir-catalyzed [4+2] annulation between C2-alkenylated NH-indoles 3 and diazo derivatives 9, for the synthesis of pyridoindoles (11ab-11ib, exemplified for 11ab) S32 - General procedure G: Rh-catalyzed C-H functionalization between C2-alkenylated NH indoles 3 and methyl acrylate, for the synthesis of (E,E)-dienes 12aa-12am (exemplified for 12aa) S35 - General procedure H: Rh-catalyzed annulation between C2-alkenylated NH-indoles 3 and methyl acrylate, for the synthesis of carbazoles 13aa-13ah (exemplified for 13aa) S37 - General procedure I: Ru-catalyzed dehydrogenative ring closure for the synthesis of benzo[c]carbazoles 14aa-ah from C2-alkenylated NH-indoles 3 S40 6. Metal-free synthetic manipulations C2-alkenyl indoles 3 S43 - Desilylation of (Z)-2-(2-phenyl-1-(trimethylsilyl)vinyl)-1H-indole 3ao S43 - Acid-promoted synthesis of carbazole 15 S43 - Acid-promoted synthesis of carbazole 16 S44 - Synthesis of γ-carboline 17 S44 7. Tandem protocol for the synthesis of Sorazolon E S45 8. NMR spectra S47 9. References S121, Peer reviewed

[Description of methods used for collection/generation of data] The dataset includes the raw data used to study the golden eagles´ diet in Burgos province. It includes data on prey remains collected below nests and at nearby plucking posts (mostly fresh remains, and some from pellets), although some prey remains (< 1%) were identified by direct observation of hunting eagles. Prey items were identified de visu , either directly, or by comparing the remains with a reference collection of feathers (i.e., for bird species) or with a reference collection of skull, bones and skin (i.e., for mammals). Some prey remains were not identified at the specific level, and were tabulated at Order level (e.g., Lagomorpha), at Phylum level (Reptilia), or even at a more general level (e.g., small mammals, including Rodentia and Insectivora). Prey remains were collected below nests and at nearby plucking posts (mostly fresh remains, and some from pellets), although we also accounted with some prey remains (< 1%) identified by direct observation of hunting eagles. Our study period spanned 25 years, from 1992 to 2017; during this period, we sampled annually an average of 11.6 eagle territories/pairs (n= 290 pair*years), distributed over the entire study area (i.e. 70 different territories sampled along the study period).  Prey items were identified de visu, following a similar procedure as Whitfield et al. (2009), either directly, or by comparing the remains with a reference collection of feathers (i.e., for bird species) or with a reference collection of skull, bones and skin (i.e., for mammals), using also two complementary field guides for prey identification (Brown et al. 1987, García 2013)., [Methods for processing the data] For prey quantification at a site and sampling episode (one visit per pair and year) we estimated minimum number of prey individuals of each species. Data was tabulated in excel format comprising 1,916 records and 14 fields (columns), including information on pair identification, year of sampling, prey species and number, reproductive data for each monitored event and seven variables related with territory traits that have been found to have an influence on golden eagle’s productivity for the studied population (Fernández-Gil et al. 2023)., Understanding trophic and demographic dynamics of apex predators is of paramount importance for ecosystems conservation. Apex predators are usually free from predation and, thus, main drivers of population dynamics are trophic resources availability affecting breeding performance. Albeit food habits have been described in many apex species, the effects of changes in the trophic niche on long-term demographic dynamics are poorly known. We describe the long- term (N = 25 years) changes in trophic niche breath of a recovering golden eagle population in a Mediterranean landscape (North Spain), and searched for potential correlates with their productivity (i.e., number of fledged eaglets per controlled pair) as a proxy of their breeding performance (N = 290 pairs*years). We identified a total of 3,475 prey items from 77 species; rabbits, hares and red-legged partridges were the most frequent prey consumed (overall 51%), followed by roe deer (10%), red-billed chough, red foxes and woodpigeons, all of them with >5%. Prey diversity in eagle’s diet decreased along the study period. Rabbits and roe deer consumption increased, hares and partridges decreased, while foxes, choughs and woodpigeons showed no significant trends. Prey diversity and red-legged partridge consumption were negatively correlated with productivity at territory level, while rabbits, corvids and pigeons showed strong positive relationship with productivity. The size of the territory showed the strongest positive relation with productivity, while roughness was negatively correlated. Rabbits and ungulates showed negative and positive correlation with roughness, respectively, while predators consumption has a negative relation with the size of the territory. Our findings give insights the potential trophic mechanisms driving the dynamics of recovering apex predator populations; a reduction in the trophic niche breath towards specific groups of prey, which could be due to a higher availability and individual specificity towards these prey species, might enhance productivity at territory level and, ultimately, influence population dynamics facilitating the recovery process. The remarkable increasing consumption of wild ungulates and predators, and even of other apex consumers, suggest that the current population recovery and reduced trophic niche breath may facilitate this eagle population to exhibit its apex role and contribute to ecosystem functionality., Peer reviewed

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Details about Diffraction Refinements with Rietveld Plots, Comparison of Mode Decomposition and Atom Shifts for Different Irreps., Peer reviewed

[Description of methods used for collection/generation of data] European rabbits and red-legged partridge perpendicular distances from the transect line were performed along transects in vehicle at 10-15 km/h starting one hour before sunrise for rabbits and one hour after sunrise for partridges. Egyptian mongooses were captured with box-traps baited with dead chicken. Adult and subadult mongooses were tagged with VHF-GPS radio-collars, from which telemetry data were obtained. Between 42 and 45 camera-traps, baited with lynx urine and valerian extract, were deployed in each study area in a regular shaped grid with an average distance of 400 m between cameras. Mongoose sctas were collected along transects on foot in each study area., Dataset for the paper "Descalzo, E; Jiménez, J.; Villafuerte, R.; Delibes-Mateos, M.; Díaz-Ruiz, F.; Ferreras, P. 2024. Quantifying the predation impact of an expanding mesocarnivore on declining small-game species" © 2024 by Descalzo, E; Jiménez, J.; Villafuerte, R.; Delibes-Mateos, M.; Díaz-Ruiz, F.; Ferreras, P. is licensed under CC BY-NC-ND 4.0, [Purpose] To estimate the predation impact of an expanding mesocarnivore, the Egyptian mongoose (Herpestes ichneumon), on the populations of two declining prey species highly valued by hunters in southern Europe, the European rabbit (Oryctolagus cuniculus) and the red-legged partridge (Alectoris rufa)., [Methods] We estimated the densities of mongooses, rabbits and partridges in three study areas of central Spain. Mongoose density was estimated with a generalized spatial mark-resight model including live capture-recapture data, capture-resisght data from camera-traps and telemetry data from GPS-tagged indviduals. Mongoose diet was estimated from food remains found in scats. Mongoose predation impact on rabbits and partridges was estimated by comparing the number of individuals consumed by the predator population with the estimated total prey populations., [Conclusions] The predation impact on rabbits in the area with the highest rabbit density was low and higher in the other areas. In contrast, the predation impact on partridge populations was negligible or low in all the study areas., Government of Castilla-La Mancha and the European Regional Development Fund (ERDF) [Project SBPLY/17/180501/000184]., MELOCAM_LineTran_Partridge.csv MELOCAM_LineTran_Rabbit.csv MELOCAM_Mong_Diet.csv Meloncillo.zip, Peer reviewed

This dataset was used to run the remote sensing-based two-source energy balance (TSEB) model to estimate evapotranspiration and related crop stress indicators using high-resolution imagery from unmanned aerial vehicles (UAVs) over a a vineyard experimental site in Madrid, Spain ('El Socorro', Belmonte de Tajo, Madrid, Spain). The dataset includes an example script to run the python implementation of TSEB (pyTSEB, https://github.com/hectornieto/pyTSEB) forced with UAV imagery and meteorological data acquired over the study site. The model outputs are also provided for the different TSEB version (TSEB-PT and TSEB-2T). These results are associated with the manuscript titled 'Evaluating the precise grapevine water stress detection using unmanned aerial vehicles and evapotranspiration-based metrics' published in Irrigation Science., The experiment was undertaken under the Digital Agriculture Technologies for Irrigation efficiency (DATI) project (2020-2024) funded by the Spanish Ministry of Science and Innovation (AEI/10.13039/501100011033) and the PRIMA EU program. It additionally received support from the EO4WUE research project (TED2021-129814B-I00) funded by MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR. We also would like to thank Dr. Bill Kustas and USDA for helping with research infrastructure and scientific support., All the inputs and outputs of the two-source energy balance (TSEB) model are in the 'inputs' and 'outputs folder. Another readme file explicitely describes this data. Also described below: ## inputs ### meteo A csv file with meterological and EC measurements during UAV overpass time. ### UAV UAV imagery are stored in seperate folders for each date (in YYYYMMDD). Each input is available over the study site at 2m spatial resolution. ## outputs The model outputs are available for both TSEB-PT and TSEB-2T versions using pyTSEB (https://github.com/hectornieto/pyTSEB). In each folder, both Main ('Main') and ancillary ('Anc') output data is made available., Peer reviewed

Geochemical data of the Variscan gneisses derived from pre-Variscan intrusives and late-Variscan granitoids in the Pyrenees and the Catalan Coastal Ranges were obtained from two main sources: (1) individually mined from published articles and unpublished PhD theses (Autran et al., 1970; Guitard, 1970; Enrique, 1989; Soler and Enrique, 1989; Enrique, 1990; Soler, 1990; Gleizes, 1992; Debon et al., 1996; Arranz, 1997; Guitard et al., 1998b, 1998b; Roberts et al., 2000; Vilà et al., 2005; Casas et al., 2010; Navidad et al., 2010; Druguet et al., 2014; Laumonier et al., 2015; Navidad et al., 2018; Lemirre et al., 2019; Álvaro et al., 2021; Liesa et al., 2021; Casas et al., 2024), and (2) the GEOROC Database (Geochemistry of Rocks of the Oceans and Continents, Göttingen University, https://georoc.eu/; last access: 03/2024; Lehnert et al., 2000). Other Findable, Accessible, Interoperable, and Reusable (FAIR; Wilkinson et al., 2016) databases were searched using geographic and lithogeochemical constrains, yielding no results. The mined data were curated and classified based on the analysed rock types, ages, regional tectonic setting, and mode of occurrence in outcrop, resulting in more than 600 entries that are associated with up to 66 data fields. Associated with each entry are generic, descriptive and informative fields (Sample ID, Unit/Massif, Rock category, Rock details, Outcrop description, and References), major element oxide abundances (SiO2, Al2O3, FeOT, Fe2O3T, MnO, MgO, CaO, Na2O, K2O, TiO2, P2O5, and LOI), and trace element concentrations (Ag, As, Ba, Be, Bi, Co, Cr, Cs, Cu, Ga, Ge, Hf, In, Mo, Nb, Ni, Pb, Rb, Sb, Sc, Sn, Sr, Ta, Th, Tl, U, V, W, Y, Zn, Zr, La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, and Lu). The resulting database, named NEIGRA (North-East Iberian GRAnitoids), represents the first Open-Access compilation of granite and orthogneiss geochemical data in the Pyrenees and the Catalan Coastal Ranges., This work was funded by DGICYT Projects PID2021-122467NB-C22 and PID2021-125585NB-I00 (MCIN/AEI/FEDER-UE/10.13039/501100011033) and PID2020-118999GB-I00 (MCIN/AEI/10.13039/501100011033), and by the Sedimentary Geology Research Group (2021 SGR 00349). EGE acknowledges the funding provided by the Geological Society of London (GSL) Student Research Grants and the PhD grants funded by Generalitat de Catalunya and the European Social Fund (2021 FI_B 00165 and 2022 FI_B1 00043). CPT acknowledges the PhD grant 2021 FISDU 00347 funded by Generalitat de Catalunya. EGR acknowledges funding provided by the Spanish Ministry of Science, Innovation and Universities (“Ramón y Cajal” fellowship RYC2018-026335-I). CA is grateful to the GEOXis Reseach Group (2021 SGR 00262) and the projects PID2020-117332GB-C21 (USAL) and PID2020-117332GB-C22 (UCM) funded by MCIN/AEI/10.13039/501100011033., 00_NEIGRA_Readme; NEIGRA_North-East Iberian GRAnitoids Database, Peer reviewed

LC-MS data files in .mgf format of bands listed in Table S1 and Table S2 of manuscript., IATA-CSIC (DESPEGA IATA-4 internal project); Spanish government MCIN/AEI for projects RTI2018-096162-R-C22 and PID2019-107723RB-C21 and Center of Excellence Accreditation Severo Ochoa (CEX2021-001189-S/MCIN/AEI/10.13039/501100011033), A-MGF_TableS1: LC-MS data files in .mgf format of bands (from 1 to 50) listed in Table S1; B-MGF_TableS2: LC-MS data files in .mgf format of bands (from 1 to 15) listed in Table S2, Peer reviewed

Under a Creative Commons license CC BY 4.0., Supplementary table 1. Concentration of trypsin-like proteases presenting similar enzyme activity using a common substrate.-- The substrate Nɑ-CBZ-L-Lysine thiobenzyl ester hydrochloride was incubated with hGzmA (66.7 nM), hGzmK (2.4 nM), mGzmA (4 nm), Kallikrein (3.7 nM), Plasmin (4.3 nM) and Trypsin (0.4 nM) for 30 min as described in methods. The absorbance was measured. The values obtained at each time were subtracted from the substrate signal in the absence of enzymes. Data represent the mean of three independent replicates., Peer reviewed