Resultados de investigación

[Links to other publicly accessible locations of the data] This software is also in https://github.com/Batxaco/ocean_variability_clustering_analysis/tree/main, [Description of methods used for collection/generation of data] Described in the file README.pdf, [Methods for processing the data] Described in the file README.pdf, - Agencia Estatal de Investigacion (MCIN/AEI/10.13039/501100011033) under the Maria de Maeztu project CEX2021-001164-M, - Agencia Estatal de Investigacion (MCIN/AEI/10.13039/501100011033) and FEDER "Una manera de hacer Europa" under Project LAMARCA No. PID2021-123352OB-C32., With funding from the Spanish government through the "Maria de Maeztu Centre of Excellence" accreditation (CEX2021-001164-M)., - README.txt: Metadatos del conjunto de datos y descripción general del repositorio. - README.pdf: Detailed technical description of methodology, software functions and data structure - med-cmcc-cur-rean-d_lon-0.5lon2_lat37.6lat40--from1987-01-01to2023-12-31.nc: NetCDF file with Zonal ($u_o$) y meridional ($v_o$) surface horizontal velocity components. - med-cmcc-tem-rean-d_lon-0.5lon2_lat37.6lat40--from1987-01-01to2023-12-31: NetCDF file with Sea Surface Temperature (SST, $\theta_o$). - src/: Root folder with Python source code hierarchically organized for data input, preprocessing, use of clustering algorithms (K-means, SOM, Infomap) and visualization., Peer reviewed

Peer reviewed

Peer reviewed

Pearson correlation coefficients and p-values for the PRS distributions for the Spanish population. P-values were adjusted for multiple testing using the Benjamini-Hochberg false discovery rate method., Peer reviewed

You can cite all versions by using the DOI 10.5281/zenodo.12807165. This DOI represents all versions, and will always resolve to the latest one., This post includes the pictures of all the holotypes of species of the genus Cazeresia Jolivet, Verma & Mille (Coleoptera: Chrysomelidae, Eumolpinae) described by Jesús Gómez-Zurita and Anabela Cardoso in the work "Systematics and evolution of the New Caledonian endemic genus Cazeresia (Coleoptera: Chrysomelidae, Eumolpinae)", published in volume 83 of Arthropod Systematics & Phylogeny., Peer reviewed

You can cite all versions by using the DOI 10.5281/zenodo.14051487. This DOI represents all versions, and will always resolve to the latest one., (selected variables from file version data_sediment_20231019) These datasets support the scientific article " White is a new shade of blue carbon: traditional salt production ponds are net carbon sinks" (submitted). It contains detailed data on the data used to estimate carbon sequestration rates and stocks in a saltpond in South Portugal. The datasets are accompanied by analysis code, available at GitHub repository, allowing for reproducibility and further exploration of the data. The data is composed by 3 datasets with the following variables: data_cores.csv. Contains properties related to the sampling of the sediment cores. core_id [character] - unique core identification code used in the field. tank_code [character] - tank identification where the core were sampled. replicate [character] - replicate number of the core in each pond. core_depth [numeric] - depth sampled with the core (in centimeters). sample_length_lab [numeric] - length of the sampled core measured in the laboratory (in centimeters). compaction_correction_factor [numeric] - fraction of the sample depth interval reduced due to compaction. It is calculated by dividing the core length by the core depth. compaction [numeric] - core compaction in percentage (%). It is calculated as 100*(1 - compaction_correction_factor). data_samples.csv. Contains properties of the sediment samples. tank_code [character] - tank identification where the core were sampled. replicate [character] - replicate number of the core in each pond. core_id [character] - unique core identification code used in the field. sample_id [character] - unique sample identification code (obtained by concatenating the core id and the minimum non-corrected depth of the sample). depth_middle [numeric] - middle depth of a sampling increment, calculating as the average of depth_min and depth_max (in centimeters). Corrected for compaction. depth_min [numeric] - minimum depth of a sampling increment, corrected for compaction (in centimeters). Corrected for compaction. depth_max [numeric] - maximum depth of a sampling increment, corrected for compaction (in centimeters). Corrected for compaction. sample_volume [numeric] - volume of the sediment sample, corrected for compaction (in cubic centimeters). Corrected for compaction. sample_dw [numeric] - dry mass of the sample (in grams of dry weight). percentage_organic_matter [numeric] - mass of organic matter relative to sample dry mass, obtained by loss-on-ignition (in percentage of dry weight). percentage_total_carbon [numeric] - mass of total carbon relative to sample dry mass, obtained by CHN analysis (as a percentage of dry weight). percentage_inorganic_carbon [numeric] - mass of inorganic carbon relative to sample dry mass, obtained by CHN analysis in samples after being subjected to LOI (as a percentage of dry weight). percentage_organic_carbon [numeric] - mass of organic carbon relative to sample dry mass, obtained by the difference of the percentage total organic carbon and percentage inorganic carbon contents (as a percentage of dry weight). dry_bulk_density [numeric] - dry mass per unit volume of the sample. This is calculated as the sample_dw divided by the sample_dw (in grams of dry weight per cubic centimeter). data_rates.csv. Contains calculation of the etiamted sedimentation rate. core_id [character] - unique core identification code used in the field. tank_code [character] - tank identification where the core were sampled. replicate [character] - replicate number of the core in each pond. compaction_correction_factor [numeric] - fraction of the sample depth interval reduced due to compaction. It is calculated by dividing the core length by the core depth. om_layer [numeric] - depth of the organic matter (OM)-rich layer (corrected for compaction), in centimeters. sample_length_lab [numeric] - length of the sampled core measured in the laboratory (in centimeters). age [numeric] - estimated minimum age of the pond, in years. sar [numeric] - sediment accumulation rate for the OM-rich layer, in millimieters per year. depth49 [numeric] - depth of the sediment with an age of 49 years, which is the time since the last main reconfiguration of the ponds, in centimeters., Peer reviewed

This work was supported by the grant PID2020-118205GB-I00 financed by MICIU/AEI/10.13039/501100011033 and grant PID2023-151597NB-I00 financed by MICIU/AEI/10.13039/501100011033 and FEDER,UE, Peer reviewed

The data is stored in 2 parts: Part 1 – Soil properties: The first part presents the soil properties data in the file ESR11_31.csv and the Metadata can be found in ESR11_31.pdf. Part 2 - Soil water retention and hydraulic conductivity: The second part contains the soil water retention and hydraulic conductivity curves data in the file ESR11_32.csv and the Metadata can be found in ESR11_32.pdf., This dataset includes information on soil properties, as well as soil water retention and hydraulic conductivity curves., European Commission, SOPLAS - Macro and Microplastic in Agricultural Soil Systems 955334., Peer reviewed

This work presents the biocidal effects and chemical compositions of two essential oils (EOs) obtained by hydrodistillation of Eucalyptus flocktoniae subsp. flocktoniae and E. flocktoniae subsp. hebes. The two subspecies studied had different chemical composition, when analysed by gas chromatography coupled to mass spectrometry with 1,8-cineole (56.98%), trans-pinocarveol (20.38%) and α-pinene (5.86%) being the major components of E. flocktoniae subsp. flocktoniae and spathulenol (25.09%), p-cymene (21.20%), 1,8-cineole (10.74%) and α-pinene (8.93%) are the major components of E. flocktoniae subsp. hebes. These oils were evaluated for their insect antifeedant, nematicidal and phytotoxic activities. The biocidal tests showed that E. flocktoniae subsp. hebes was the most active against Myzus persicae and Rhopalosiphum padi. While, E. flocktoniae subsp. flocktoniae was not antifeedant. None of the investigated EOs were active against both Spodoptera littoralis and Meloidogyne javanica root-knot nematode. Moreover, the EOs extracted from these two subspecies showed a significant phytotoxic effect., This work has been partially supported by grant PID2019-106222RB-C31/SRA (State Research Agency, Spain10.13039/501100011033)., Peer reviewed

Nuclear pore complexes (NPCs) regulate macromolecular traffic into and out of the cell nucleus. However, the nature of the NPC central transporter remains unknown. We used high-speed atomic force microscopy alongside orthogonal in vitro and in vivo analyses to elucidate the NPC nanomachinery at transport timescales. We show that nuclear transport factors, specifically karyopherins (Kaps), significantly remodel the dynamic behavior of intrinsically disordered phenylalanine-glycine (FG) nucleoporin domains within NPCs. These behaviors shape the structure and function of the NPC permeability barrier, including the formation of a 'central plug'. Consequently, mutant NPCs with enhanced FG-repeat density overtightened the permeability barrier, impairing nucleocytoplasmic transport. NPC-like dynamics and central plug formation could be further replicated in DNA origami nanopores equipped with tethered FG domains but not in vitro FG hydrogels. These discoveries highlight the distinctive properties of the NPC central transporter, significantly advancing our understanding of its complex biological function beyond mesoscopic interpretations., Peer reviewed