BUSCADOR RECOLECTA

Datasets from HAB monitoring program in Mallorca., Peer reviewed

Datasets from HAB monitoring program in Mallorca., Peer reviewed

Table 1S. Samples’ and results’ description.-- Figure 1S. Occupacy and detection probabilities.-- Figure 2S. Matrices of pairwise comparisons between positives.-- Table 2S. Modelling site-occupancy.-- Table 3S. Effect of processing times.-- Table 4S. Modelling the effect of site-dependent covariates on site-occupancy.-- Figure 3S. Sample processing intervals graphs.-- Figure 4S. Summary of results discussed by geographic sector. Appendix 1S Partners of the 2021 Spot the Monk campaign, Peer reviewed

Figure S1: Locations of red deer populations in Spain; Table S1: Description of 11 microsatellite markers used for genotyping red deer in this study; Figure S2: Relationship between HO and HE for microsatellites and SNPs in red deer populations. Figure S3: Probability of the assessed number of genetic clusters (K) in red deer; Figure S4: Relationship between membership/ancestry coefficients obtained with both microsatellites and SNPs for each of the five clusters in red deer populations; Figure S5: Membership/ancestry coefficients obtained with both microsatellite and SNP markers for K = 2 in six red deer populations; Figure S6: Relationship between membership/ancestry coefficients obtained with both microsatellites and SNPs for the first cluster at K = 2 in six red deer populations; Figure S7: Identity disequilibrium (g2) obtained with microsatellite and SNP markers in red deer populations; Figure S8: Heterozygosity-heterozygosity correlation (HHC) obtained with microsatellites and SNPs in red deer populations., Peer reviewed

Pesticide residue analysis and DNA-metabarcoding techniques, ESI-MS parameters used for pesticide analyses, occurrence of pesticide-treated seeds in monitored sown plots, results of the PCA conducted on the diet variables for ITS2 and rbcL genes, mean RRA of cultivable genera and wild plants for ITS2 and rbcL genes, contingency tables to relate pesticide detection in feces, data of overlap area (%) between recently sown plots and circular home ranges of different diameters, showing the minimum and maximum number of days elapsed between sowing of those plots and the day of sample collection, study area showing the main land use, schematic representation of the study design throughout the different seasons, and a map showing GPS locations and corresponding MCP of wild red-legged partridges., Peer reviewed

I. STRUCTURAL CHARACTERIZATION II. XANES CHARACTERIZATION III. RESISTIVITY, Peer reviewed

All the experiments have been carried out on thin films of IrO2, the thickness and crystallinity of the each film being specified in each file. X-ray reflectivity (XRR) and X-ray diffraction measurements (XRD) were performed by using Bruker D8 and Rigaku D/max-2500 diffractometers, respectively, by using the Ka radiation line of copper. The electrical resistivity was measured using the four points van der Pauw method by means of a Quantum Design PPMS-9T with no applied magnetic field and with a small electric current (0.1 mA). Magnetization measurements were carried out by using a commercial SQUID magnetometer from Quantum Design. Magnetization versus temperature data were collected from 5 to 350 K with a heating rate of 5 K/min at 1000 Oe. High-energy resolution fluorescence detected X-ray absorption spectroscopy (HERFD-XANES) measurements were carried out at RT by using a beamline I20-Scanning at Diamond Light Source. More informacion can be found in https://doi.org/10.1107/S1600577518008974. X-ray magnetic circular dichroism (XMCD) measurements were carried out at beamline 4-ID-D of the Advanced Photon Source, Argonne National Laboratory. Measurements were done in a cryomagnet with the sample cooled with 4He vapor. A 500 micron thick diamond phase plate was used to generate circularly polarized X-rays and XMCD measurements were carried out in helicity-switching mode. Measurements were done in fluorescence mode using a grazing incidence geometry and an energy dispersive 4-element Si drift diode detector placed at 90 degrees relative to the incident beam direction. XMCD Data were collected at 10 K with the magnetic fields along and opposite the X-ray propagation direction to remove any artifacts of nonmagnetic origin., Spanish MINECO projects MAT2014-54425-R (MINECO/FEDER, UE), MAT2017-82970-C2-R (AEI/FEDER, UE), MAT2017-83468-R (AEI/FEDER,UE), MAT2017-87134-C02-01-R (AEI/FEDER, UE) and MAT2017-87134-C02-02-R (AEI/FEDER, UE); Spanish MICINN project PID2020-115159GB-I00 / AEI / 10.13039/501100011033; Aragon Regional Government (Projects No. E12-20R and E28-20R); European Union’s Horizon 2020 program Marie Sklodowska-Curie grant agreement no. 665919; European Union’s Horizon 2020 Programme project Quantox of QuantERA ERA-NET Cofund of Quantum Technologies (Grant Agreement No. 731473)., XRD_IrO2_001epitaxy.dat XRD_IrO2_100epitaxy.dat XRD_IrO2_110epitaxy.dat XRD_IrO2_110textured.dat AFM_2d2nm_thick_001epitaxy.tif STEM_5d7_nm_thick_001epitaxy.tif XAS_IrO2_001epitaxy_5d7nm.dat XAS_IrO2_001epitaxy_96nm.dat XAS_IrO2_100epitaxy_1d7nm.dat XAS_IrO2_100epitaxy_5d1nm.dat XAS_IrO2_100epitaxy_89nm.dat XAS_IrO2_110epitaxy_5d3nm.dat XAS_IrO2_110epitaxy_92d2nm.dat XAS_IrO2_polycrystalline_films resistivity_IrO2_ 001epitaxy.dat resistivity_IrO2_ 100epitaxy.dat resistivity_IrO2_ 110epitaxy.dat resistivity_IrO2_ 110texture.dat MvsT_IrO2_001epitaxy_1d5nmthick.dat MvsT_IrO2_100epitaxy_1d5nmthick.dat XAS_XMCD_IrO2_100epitaxy_1d5nmthick.dat XAS_XMCD_powderIrO2.dat XRR_IrO2_5nmthick.dat XRR_IrO2_100nmthick.dat XAS_polycrystalline_vs_amorphous.dat rockingcurves_IrO2.dat RSM_IrO2_001epitaxy_5d7nm.dat RSM_IrO2_001epitaxy_96nm.dat RSM_IrO2_100epitaxy_5d1nm.dat RSM_IrO2_100epitaxy_89nm.dat, Peer reviewed

BmpA and BBK32 overlapping peptides identified as reactive in each of the study group; production of chimeric proteins; Western blot using anti-His-tag antibodies; and potential sources of nonspecific reactions (PDF). Z-score and Z-ratio for particular peptides., Peer reviewed

Table S1: Mean distances in meters between nest-boxes during the study period, all study areas pooled; Table S2: Results of the final GLMM models (using p-values as selection criterion, dropping those variables with p-value > 0.05) for vole activity based in the indirect abundance index (IAI) and different variables potentially affecting vole abundance, considering exclusively alfalfa fields; Table S3: Results of the final GLMM models (using p-values as selection criterion, dropping those variables with p-value > 0.05) for vole activity based on the indirect abundance index (IAI) and different variables potentially affecting vole abundance, considering all habitats except alfalfa fields; Figure S1: Study area of Villalar de los Comuneros (Valladolid province; VC); Figure S2: Study area of Boada de Campos/Capillas (Palencia province; BC); Figure S3: Study area of San Martín de Valderaduey (Zamora province; SMV); Figure S4: Boxplot of average number of fledglings in each study area and by habitat, after breeding season (summer season), considering a circular buffer of 180 m radius around every sampled quadrat, pooling years; Figure S5: Boxplot of average number of fledglings in each study area and by habitat, after breeding season (summer season), considering a circular buffer of 540 m radius around every sampled quadrat, pooling years; Figure S6: Common vole abundance (percentage of quadrats with presence) in alfalfa crops, considering distances to nest-boxes (occupied and unoccupied) and year, all study areas and seasons pooled, using an indirect abundance index (IAI); Figure S7: Common vole abundance (percentage of quadrats with presence) in alfalfa crops, considering distances to nest-boxes and season, all study areas and years pooled, using an indirect abundance index (IAI); Figure S8. Synthetic figure showing the average distance to occupied nest-boxes of sampled quadrats within alfalfa fields with absence (0) or presence (1), split by study area, year, and season; Figure S9. Common vole abundance (percentage of quadrats with presence) in all habitats except alfalfa crops, considering distances to nest-boxes and study areas, all seasons and years pooled, using an indirect abundance index (IAI); Figure S10. Synthetic figure showing the average distance of sampled quadrats within all habitats pooled, excluding alfalfa fields, with absence (0) or presence (1) of vole signs, split by study area, year, and season., Peer reviewed

[Description of methods used for collection/generation of data] Revision of written sources and testing of geographical information., This database will be accessible under request, if permission is granted by the owners. Please contact maria.cruz-berrocal@incipit.csic.es, EUForts is a database of European forts founded in Asia-Pacific between the 16th and 19th centuries. It includes the information about founding and successive cultural attributions, and exact locations of the forts produced specifically for this data set., Grant PID2020-116196GB-I00 funded by MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR. PI María Cruz Berrocal., Peer reviewed