BUSCADOR RECOLECTA

data_ASVtable.csv: this dataset was exported from QIIME2 v2020.6 and includes in the rows the ASVs ID and in the columns the samples's name. The values in the table indicate the abundance of each ASV per sample, as the number of counts. data_taxonomy.csv: contains the ASV ID in the rows and the taxonomic classification in the columns. Each ASV was taxonomically classified using the Silva 138 database and only bacterial sequences were considered. data_tree.tre: rooted phylogenetic tree of our sequences. data_Alpha_diversity.xlsx: this dataset contains metadata and values of alpha diversity indices (Chao1 index, Shannon's diversity, and Faith's phylogenetic diversity). To calculate these indices, we rarefied the ASV table 100 times to the minimum sampling depth (1,085). For each of the 100 rarefied ASV tables, we calculated the indices and then computed the mean value per sample. Description of the variables: tube: Sample names. chao1: Chao1 values for each sample. diversity_shannon: Shannon diversity index values for each sample. chao1_sd: Standard deviation of Chao1 values for each sample. diversity_shannon_sd: Standard deviation of Shannon diversity index values for each sample. PD: Faith's phylogenetic diversity values for each sample. PD_sd: Standard deviation of Faith's phylogenetic diversity values for each sample. species: Code identifying species: "YBHB" for Yellow-billed hornbills, "DH" for Damara hornbills, and "MH" for Monteiro's hornbills. nest: Nest name where each bird was breeding at the time of sampling. ring: Identification number for each bird. If the bird was not ringed, this field contains the nest name and chick identity (e.g., "C1" for the oldest chick, "C2" for the second oldest). individual: Specifies whether the sample is from a female or a chick. If more than one nestling was sampled per nest, additional information indicates whether the chick was the oldest (_1), second oldest (_2), or youngest (_3). individual_2019: Indicates female and chick samples without information on the age hierarchy of chicks when more than one was sampled per nest. sample: Body part or integument sampled. "Uropygial" refers to the uropygial gland surface, "billbase" and "billtop" refer to the base and top of the bill, "nape" refers to samples from nape feathers, "blackwing" to primary wing feathers, and "blacktail" and "whitetail" to black and white tail feathers, respectively ("white" and "black" indicate the primary color of the feathers). sample_2018: Integument sampled in 2018 without differentiation between specific bill or feather samples. Here, "bill" replaces "billtop" and "billbase," and "feathers" replaces "nape," "blackwing," "whitetail," or "blacktail." order_of_sampling: "first" indicates the bird's first sample; "second" indicates the second sample of the same bird (if sampled twice). number_samples: "one" indicates birds sampled only once; "two" indicates birds sampled twice. year: Year of sampling (2018, 2019, or 2020). date: Date of sampling. age: Age of the bird at the time of sampling. sharing_2019: "yes" if a female and yellow-billed hornbill nestlings shared a nest in 2019 or if more than one nestling was sampled per nest; "no" if only the female or only one nestling was sampled per nest. sharing_2020: "yes" if a female and yellow-billed hornbill nestlings shared a nest in 2020 or if more than one nestling was sampled per nest; "no" if only the female or only one nestling was sampled per nest. BRAYDist.xlsx: Bray-Curtis (relative abundance) distance matrix. JaccardDist.xlsx: Jaccard ((presence-absence) distance matrix. UNunifracDist.xlsx: unweighted UniFrac distance matrix. WEunifracDist.xlsx: weighted UniFrac distance matrix., Peer reviewed

There is an urgent need to improve conventional cancer-treatments by preventing detrimental side effects, cancer recurrence and metastases. Recent studies have shown that presence of senescent cells in tissues treated with chemo- or radiotherapy can be used to predict the effectiveness of cancer treatment. However, although the accumulation of senescent cells is one of the hallmarks of cancer, surprisingly little progress has been made in development of strategies for their detection in vivo. To address a lack of detection tools, we developed a biocompatible, injectable organic nanoprobe (NanoJagg), which is selectively taken up by senescent cells and accumulates in the lysosomes. The NanoJagg probe is obtained by self-assembly of indocyanine green (ICG) dimers using a scalable manufacturing process and characterized by a unique spectral signature suitable for both photoacoustic tomography (PAT) and fluorescence imaging. In vitro, ex vivo and in vivo studies all indicate that NanoJaggs are a clinically translatable probe for detection of senescence and their PAT signal makes them suitable for longitudinal monitoring of the senescence burden in solid tumors after chemotherapy or radiotherapy., Peer reviewed

[Description of methods used for generation of data] The study consists of the generation of a data model using geo-referenced information that allows an assessment of the spatial distribution of different indicators related to the renting of dwellings. This includes the analysis of rental prices, energy bills and income level. Data at the census precint scale are used. The methodology used starts with the search for available information in robust databases. The information is combined in order to carry out an in-depth analysis of the issues raised in the object of the study and the interactions among them. [Methods for processing the data] Basic statistical methods and vector data geospatial analysis operations have been used for data processing. [Relationship between files] FIRST DATASET: Results regarding energy and rent expenses pressure over the income level: an absolute value information is included for all census tracts for which rental price, energy efficiency, and household income data are available SECOND DATASET: Stressed areas indicators: Includes those census tracts from the previous files that exceed the average values for each city in rental price, and are below the average values for energy efficiency and household income, [EN] The study presented here involves the development by the Instituto de Ciencias de la Construcción Eduardo Torroja (IETcc), belonging to the Agencia Estatal Consejo Superior de Investigaciones Científicas (CSIC), of a model on the energy performance of the rental housing stock through the analysis of three cities located in different climatic zones of Spain, with different heating and cooling needs (Santander, Madrid and Malaga). Existing databases published in open source are used to develop a tool to evaluate possible interactions between energy bills, housing rental costs and income level in households located in stressed residential market areas. As a result, the pressure of bills for the average dwelling (energy and rent price) on the average income of each census tract in the three cities analyzed is provided. The areas that exceed the mean values on the three indicators (rental price, energy bills and household income) are also detected and those that exceed the mean value for each of the three cities, increased by the standard deviation for each of the three indicators, are identified as critical areas. These results allow us to identify the stressed areas where housing expenditures exceed 30% of disposable income globally for the three cities. In addition, they provide a detailed analysis of the indicators in the stressed areas on a case-by-case approach for each of the three cities., [ES] El trabajo que se presenta supone el desarrollo por parte del Instituto de Ciencias de la Construcción Eduardo Torroja (IETcc), perteneciente a la Agencia Estatal Consejo Superior de Investigaciones Científicas (CSIC), de un modelo sobre el comportamiento energético del parque de viviendas en alquiler a través del análisis de tres ciudades situadas en diferentes zonas climáticas de España, con diferentes necesidades de calefacción y de refrigeración (Santander, Madrid y Málaga). Se utilizan bases de datos existentes publicadas en abierto para desarrollar una herramienta que permite evaluar posibles interacciones entre el coste de la energía, el coste del alquiler y el nivel de renta en los hogares situados en zonas de mercado residencial tensionado. Como resultado se ofrece la presión de las facturas para la vivienda media (energía y precio del alquiler) sobre la renta media de cada sección censal en las tres ciudades analizadas. También se detectan las áreas que superan los valores medios para cada uno de los indicadores (precio alquiler, facturas energéticas y renta del hogar) y se identifican como áreas críticas aquellas que superan el valor medio de cada una de las tres ciudades incrementadas con la desviación típica para cada uno de los tres indicadores. Estos resultados permiten identificar las áreas tensionadas donde los gastos de la vivienda superan el 30% de la renta disponible de manera global para las tres ciudades. Además, permiten el análisis pormenorizado de los indicadores en las áreas tensionadas de manera particularizada para cada una de las tres ciudades., “ECODES. Fundación Ecología y Desarrollo” funded the study https://ecodes.org/, FIRST DATASET: Pressure of bills on income level: Santander_presion.shp, Madrid_presion.shp, Malaga_presion.shp.-- SECOND DATASET: Stressed areas indicators: Santander_tensionadas_y_renta.shp, Madrid_tensionadas_y_renta.shp, Malaga_tensionadas_y_renta.shp, Peer reviewed

Excel file including: Conditions tested in the study, proximate composition and physicochemical parameters of porcine liver, degree of hydrolysis, antioxidant activity (ABTS, DPPH, FRAP and ORAC), ferrous ion chelating activity (% Chelation), and free amino acids (mg amino acid/g liver) of liver hydrolyzates., In the study of protein-rich byproducts, enzymatic hydrolysis stands as a prominent technique, generating bioactive peptides. Combining exo- and endopeptidases could enhance both biological and sensory properties. Ultrasound pretreatment is one of the most promising techniques for the optimization of enzymatic hydrolysis. This research aimed to create tasteful and biologically active pork liver hydrolyzates by using sequential hydrolysis with two types of enzymes and two types of ultrasound pretreatments. Sequential hydrolyzates exhibited a higher degree of hydrolysis than single ones. Protana Prime hydrolyzates yielded the largest amount of taste-related amino acids, enhancing sweet, bittersweet, and umami amino acids according to the Taste Activity Value (TAV). These hydrolyzates also displayed significantly higher antioxidant activity. Among sequential hydrolyzates, Flavourzyme and Protana Prime hydrolyzates pretreated with ultrasound showed the highest ferrous ion chelating activity. Overall, employing both Alcalase and Protana Prime on porcine livers pretreated with ultrasound proved to be highly effective in obtaining potentially tasteful and biologically active hydrolyzates., Grants PID2020−119684RB-I00 funded by MCINU/AEI/10.13039/501100011033 and PRE2021−100576 allocated to MILM, funded by MCIU/AEI/10.13039/501100011033 in conjunction with the European Social Fund, are acknowledged. The accreditation as Centre of Excellence Severo Ochoa CEX2021−001189-S, funded by MCIU/AEI/10.13039/501100011033, is also acknowledged., With funding from the Spanish government through the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2021-001189-S), Peer reviewed

This Atlas describes different aspects of genetic diversity for the butterfly species of Canada and United States. Founded on an updated checklist (Table 1), this work assembles a curated dataset of 13,236 DNA barcode records (dx.doi.org/10.5883/DS-ATLASNAB), corresponding to 619 species (90% of the North American fauna). Conventional measures of genetic diversity to assess both the genetic diversity and genetic structure were computed for each species (Table 2). Based on these data, it compiles i) haplotype maps ii) haplotype networks iii) a bivariate plot showing the relationship between genetic diversity and genetic structure, iv) and a principal component analysis (PCoA) that provides a bidimensional representation of genetic distances among haplotypes of each species., This pdf displays intraspecific genetic diversity for 619 butterfly species., Peer reviewed

The current agricultural system is in search of new strategies to achieve a more sustainable production while keeping or even increasing crop yield and quality. In this scenario, the application of biostimulants constitutes a potent solution. In the current study, the impact of a blue-green microalgal extract (MB) and a pig tissue hydrolysate (PTH) on rapeseed plants’ development was characterized. Obtained results revealed a positive effect on yield parameters of plants treated with MB and, especially, PTH; this was associated to an improvement on the photosynthetic performance. Moreover, this study remarked the effects of biostimulants on plant phenology through their pivotal role in modulating developmental processes. More specifically, proteomic, metabolomic, and hormone content analyses revealed distinct alterations associated with the acceleration of phenology induced by biostimulant application. Additionally, some antioxidant enzymes and stress-related compounds were up-regulated upon MB and PTH treatments, indicating enhanced plant defense mechanisms in response to accelerated phenological transitions. Such findings highlight the intricate interplay between biostimulants and plant physiology, wherein biostimulants orchestrate rapid developmental changes, ultimately influencing growth dynamics. Altogether, the current study reveals that the application of both MB and PTH biostimulants promoted rapeseed plant phenology and productivity associated with an improvement in the photosynthetic machinery while boosting other physiological and molecular mechanisms., Peer reviewed

Principal coordinate analysis (PCoA) for Limenitis arthemis (a). The RGB (red blue green) square employed to assign colors to haplotypes (b) and the projection of the PCoA configuration in the RGB space (c)., Peer reviewed

The representation of PCoA in RGB space as showed in the Atlas (a) and the resulting haplotype map (b) for 36 specimens of Limenitis lorquini., Peer reviewed

Haplotype maps for 36 specimens of Limenitis lorquini (a) and 102 specimens of Limenitis arthemis (b)., Peer reviewed

PCoA (a) and haplotype network (b) for 36 specimens of Limenitis lorquini. Because colors assigned to haplotypes are the same for the PCoA and the haplotype network, it is possible to easily identify same haplotypes in the two plots., Peer reviewed