BUSCADOR RECOLECTA

PN40024, a highly homozygous Pinot Noir inbred line, was used for T2T genome assembly. In total, we generated 39.12Gb (~65X coverage) HiFi reads by the PacBio platform. The preliminary assembly were conducted using Hifiasm on HiFi reads, and Mumer was used to order and orient the contig-level assemblies using the PN40024.v3 genome as the reference, forming 169 contigs representing 19 chromosomes. The PN_T2T genome size (494.87M) is longer than that of 12X.v0 (426.18M). Due to the accuracy of HiFi long reads, the N50 length PN_T2T of (26.89 Mb) is 260 times higher than PN_v3 (~102Kb). For all 9423 gaps in 12X.v0 assembly, PN_T2T assembly is the gap-free grape genome.To validate the quality of our assembly, K-mer and BUSCO were conducted. We used K-mer to evaluate genomic heterozygosity, estimated 99.8%. BUSCO to evaluate genomic completeness, about 98.5% of the core conserved plant genes were found complete in the genome assembly. The PN40024.T2T genome assembly: PN40024.T2T.fa The PN40024.T2T gene annotation: PN40024.gff3 The PN40024.T2T TE annotation: PN40024.TE.gff The PN40024.T2T centromere annotation: PN40024.trf.gff3 The PN40024.T2T protein sequence: PN40024.protein.fa The PN40024.T2T cds sequence: PN40024.cds.fa Comparison of gene annotation among PN_T2T and 12X.v0, 12X.v2, PN40024.v4, PN40024.v4.1: correlation.list, Peer reviewed

Figuras adicionales del artículo "Análisis de la producción científica internacional sobre evaluación de la efectividad de las políticas, planes, programas y proyectos en la prevención del consumo de drogas" publicado en la Revista Acta Psiquiátrica y Psicológica de América Latina 69 (3) y 69 (4)., Peer reviewed

Description of the data files: 'CH_Female_Multi_2004_6events_v3.txt': Capture-recapture multievent data for females; 'CH_Female_Multi_2004_z_init_Nimble.txt': Initial values for latent z states and state at first encounter for females; 'CH_headed_Male_Multi_2004.txt': Capture-recapture multievent data for males; 'CH_headed_Male_Multi_2004_z_init.txt': Initial values for latent z states and state at first encounter for males; 'count_data.RData': Population count data; Model code: 'IPM_10.txt' All files are called in the online supplementary code for running the integrated population model., Peer reviewed

Excel dataset., Peer reviewed

R data format, Peer reviewed

This zipped folder includes all data and the scripts to replicate the analyses from the study by Santangeli et al. Mixed effects of protected areas on terrestrial and freshwater biodiversity. Specifically, we include in the main folder the script (R file, suitable for R software - "SiteMatchingBirdExample") and site level data ("BirdData.csv") used to run the matching analyses of protected and unportected sites (data and script provided for the birds data only due to data ownership agreements). This example is easily applicable to the other three taxonomic groups. We also include the data and scripts to run the Joint Species Distribution Modeling on the occurrence data separately for each of the four taxonomic groups studied in the folder "HMSC_models". Here the user will find four separate sub-folders, each including in turn a folder named data which hosts the occurrence data from sites selected after matching for that taxon (CSV file named SXY, includes also site level information), as well as a script file (named e.g. birds_HMSC in the case of birds folder) that can be used to replicate the joint species distribution model on that specific taxonomic group., European Commission through the Horizon 2020 Marie Skłodowska-Curie Actions individual fellowships (Grant no. 101027534), Jane and Aatos Erkko Foundation., Peer reviewed

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