BUSCADOR RECOLECTA

The images were taken in vineyards owned by Bodegas Terras Gauda in September 2021.-- The camera used was a digital single-lens reflex camera, Canon EOS 7D. The camera was placed on-board a wheeled robot. Images were automatically taken at a speed of almost 1 fps, during the movement of the robot.-- The weather conditions when the images were collected were sunny., Creative Commons Attribution-NonCommercial-ShareAlike (CC-BY-NC-SA)., Set of images of vines affected by late stage Botritys., We acknowledge received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101017111, FlexiGroBots project., Peer reviewed

Climate change affects means, variances and the intrinsic predictability of the climate. However, experimental tests of how changes in intrinsic climatic predictability affects plant traits, allocation strategies, and the selective regime acting on them are scarce, as well as evidence for the importance of root functional traits to cope with climatic uncertainty. Here, we experimentally manipulated intrinsic daily and inter-seasonal precipitation-predictabilities and tested their effect on root traits, root allocation strategies, the selective regime acting on them, and transgenerational root responses, using a four-year field experiment and Onobrychis viciifolia. More predictable precipitation led to lower root biomass and a lower overall plant performance, and to higher allocation to roots and higher within-root allocation (i.e. allocation to root branching and maximum rooting depth relative to allocation to roots). Differences in intrinsic daily and inter-seasonal predictability induced differences in the strength of selection acting on the studied traits, but did not affect the type of the selective regime, nor the transgenerational responses. The results indicate that higher predictability constrained a plant’s performance, while plants were able to cope with lower predictability. Absence of transgenerational responses in root traits with respect to the predictability treatments, points to slow or no inter-generational changes of root traits in unpredictable habitats. Thus, adjustments in root allocation strategies and changes therein might be key to deal with increasing climatic uncertainty., Peer reviewed

The dataset contains a collection of different parameters concerning inkjet printing deposition (voltage, pulse length, drop volume, drop and line spacing, nº of drops and total volume deposited) for 231 samples that were used to build machine learning for the variables Nº of Drops and Total Volume Deposited, perform predictions, as well as analyze the influence of the other variables on the model results., Original data = ExpCond_pyrolysis_230samples_article.xlsx / Preprocessed data = data_final.csv / Preprocessing and EDA (.pdf and .ipynb) = Code used to perform the data preprocessing and generate exploratory data analysis figures. / N_of_drops_model (.pdf and .ipynb) = Code used to build machine learning models for the target variable Nº of Drops and the associated article figures. / N_of_drops_model_standard_scaler (.pdf and .ipynb) = Code used to build machine learning models for the target variable Nº of Drops to demonstrate the effect of standarization on the model. / TVD_model (.pdf and .ipynb) = Code used to build machine learning models for the target variable Total Volume Deposited and the associated article figures. / TVD_model_standard_scaler (.pdf and .ipynb) = Code used to build machine learning models for the target variable Total Volume Deposited to demonstrate the effect of standarization on the model., No

Hyperthermia is a common confounding factor for assessing the neurotoxic effects of methamphetamine (METH) in mammalian models. The development of new models of methamphetamine neurotoxicity using vertebrate poikilothermic animals should allow to overcome this problem. The aim of the present study was to develop a zebrafish model of neurotoxicity by binge-like methamphetamine exposure. After an initial testing at 20 and 40 mg/L for 48 h, the later METH concentration was selected for developing the model and the effects on the brain monoaminergic profile, locomotor, anxiety-like and social behaviors as well as on the expression of key genes of the catecholaminergic system were determined. A concentration- and time-dependent decrease in the brain levels of dopamine (DA), norepinephrine (NE) and serotonin (5-HT) was found in METH-exposed fish. A significant hyperactivity was found during the first hour of exposure, followed 3 h after by a positive geotaxis and negative scototaxis in the novel tank and in the light/dark paradigm, respectively. Moreover, the behavioral phenotype in the treated fish was consistent with social isolation. At transcriptional level, th1 and slc18a2 (vmat2) exhibited a significant increase after 3 h of exposure, whereas the expression of gfap, a marker of astroglial response to neuronal injury, was strongly increased after 48 h exposure. However, no evidences of oxidative stress were found in the brain of the treated fish. Altogether, this study demonstrates the suitability of the adult zebrafish as a model of METH-induced neurotoxicity and provides more information about the biochemical and behavioral consequences of METH abuse., Peer reviewed

[Methodology applied] This dataset is based on robust statistical data mainly from the Spanish Census (INE, 2001, 2011). An estimation of heating energy needs is carried out for urban areas by performing archetype building simulation models. Urban energy needs data are obtained by the generalisation of the results of these simulations by using statistical data (Mata et al., 2014). This process makes it possible to identify urban areas containing pockets of inefficient buildings. This dataset contains spatial data representing the total energy required to maintain all the dwellings contained in each of the census precincts of Madrid within the comfort ranges defined by the Spanish Technical Building Code throughout the winter (CTE-DB-HE, 2019). The result is the visualisation of the energy dispersed by the city of Madrid to the environment during the winter. It is also a useful information for sizing supplies., [Indicator 1] energy for heating required per Hectare (kWh/Ha)]: From the heating energy demand data estimated for each census section, an indicator of energy required per Hectare (kWh/Ha) is prepared, which enables the areas with the highest energy demand density to be located geographically. This indicator is influenced by the density of dwellings and their surface area in each neighbourhood, and by the construction period of the buildings in which they are located, a variable that determines the energy quality of the enclosures. The focus of this work is mainly on heating energy demand, which accounts for 55% of the energy consumption of households in the continental Mediterranean area (IDAE, 2011a), in which the city of Madrid is located. The full detailed methodology can be found in: (Martín-Consuegra, F. et al., 2016) https://oa.upm.es/44264/, [Indicator 2: Energy class by census precinct] It represents the average thermal quality of the dwellings contained in a census precinct in terms of their heating energy demand. To calculate this value, the total heating demand values obtained for each census tract are multiplied by the living area of the dwellings it contains. In this way, an average value of the energy demand indicator per unit of living area is obtained for each census section (kWh/m²). The values obtained are represented according to the classification proposed by the energy rating procedure established for existing residential buildings for the rating of heating demand (IDAE, 2011b). Building data from the 2001 census and for newly developed areas from the 2011 census have been used. The full detailed methodology can be found in: (Martín-Consuegra, 2014)., [File formats, file structure and file nomenclature] The information is prepared by means of a Geographic Information System. It consists of a spatial information file with vectorial information of the census sections of Madrid and a database with the values of the energy variables for each one of them. The list of files is as follows: *.qml files contain visualisation information for the two main variables The variables containing information for each census precinct are listed as following: VARIABLE DESCRIPTION UD: principales, Number of main dwellings, uds; suptotal, Total living area of dwelling, m2; demtotal, Total heating demand by census precinct, kWh; demindic, Heating energy rating of the census tract, kWh/m2; area_sscc, Census tract area, Ha; dempha, Heating energy Demand per hectare, kWh/Ha., [Legal aspects, access and security policies] Free access for research purposes, The work presented here is part of the results of the thesis “Análisis de datos espaciales para la erradicación de la pobreza energética en la rehabilitación urbana: el caso de Madrid” (Spatial data analysis for the eradication of fuel poverty in urban retrofitting: the case of Madrid) (Martín-Consuegra Ávila, 2019). It proposes the conceptual development of a Spatial Data Analysis Model that can collect large amounts of information about the energy efficiency of the residential building stock. The model contains information from different databases at various scales, in order to assess the refurbishment needs of entire neighbourhoods. It gives the possibility of planning rehabilitation strategies based on energy needs reduction, taking into account the different environmental, social and economic aspects involved in the process. Two complementary tools are proposed for the data processing of the main existing bases in Spain: the cadastre and the census. These tools generate energy indicators that are used to characterize the thermal performance of buildings, neighbourhoods and cities. https://oa.upm.es/62611/, Peer reviewed

The file: Llorens et al (2021) Stemflow infiltration areas_Ecohydrology. xlsx includes the following folders: 1. Tree characteristics a. Slope around the trees b. Diameter at Breast height c. Diameter just above tree buttresses d. Basal Area 2. SWC and stemflow rates a. Antecedent soil water content for each tree and run b. Stemflow rates applied c. Water added to the soil 3. Soil properties a. Organic matter content b. Clay content c. Bulk density d. Ksat estimated using Rosetta PDF e. Ksat measured using ring infiltrometer 4. Stemflow infiltration area a. Stemflow rates for each tree and run b. Stemflow infiltration area for each tree and run, Peer reviewed

Changes in the elemental composition and stoichiometric ratios of the marine calanoid copepod Paracartia grani along development, reared in the laboratory fed the cryptophyte Rhodomonas salina, This study was supported by [CTM2017–84288-R] funded by Fondo Europeo de Desarrollo Regional (FEDER)/Ministerio de Ciencia, Innovación y Universidades-Agencia Estatal de Investigación, With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), Body length; C, N and P contents per individual; C:N molar ratio; C:P molar ratio; N:P molar ratio; Body volume; C, N and P contents per unit body volume, Peer reviewed

Changes in the elemental composition and stoichiometric ratios of the marine cyclopoid copepod Oithona davisae along development, reared in the laboratory fed the heterotrophic dinoflagellate Oxyrrhis marina, This study was supported by [CTM2017-84288-R] funded by Fondo Europeo de Desarrollo Regional (FEDER)/Ministerio de Ciencia, Innovación y Universidades-Agencia Estatal de Investigación, With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), Body length; C, N and P contents per individual; C:N molar ratio; C:P molar ratio; N:P molar ratio; Body volume; C, N and P contents per unit body volume, Peer reviewed

1. Omnivorous waterbirds play an important role in aquatic ecosystems as dispersal vectors via direct ingestion, transportation and egestion of plant and invertebrate propagules (i.e. endozoochory). Predatory birds also have the potential to disperse plants and invertebrates that were first carried internally or externally by their prey animals. However, the potential contribution of predatory waterbird species to propagule dispersal in aquatic ecosystems remains understudied. 2. We chose the grey heron Ardea cinerea (Ardeidae) to study the potential of predatory waterbirds to disperse propagules within and among aquatic ecosystems. We hypothesized that (1) herons disperse a wide variety of plant and invertebrate propagules, from different habitats, with different morphologies (i.e. dispersal syndromes), and including both native and alien species; (2) propagules are ingested with prey species that are primary dispersal vectors (i.e., herons are secondary dispersers); (3) heron pellets show a similar abundance and richness of propagules across their widespread range. We collected 73 regurgitated heron pellets containing undigestible remains from 12 locations across the United Kingdom and The Netherlands, and examined the taxonomic diversity of plant seeds, invertebrates and prey remains. 3. Pellets were dominated by mammal hairs (99% by volume), and bones confirmed the ingestion of small mammals (prevalence of 38%, e.g. water voles Arvicola amphibius), fish (14%), and birds or amphibians (6%). A total of 266 intact plant seeds were recovered from 71% of the pellets, representing 50 taxa from 17 plant families, including the alien Cotula coronopifolia. The cumulative number of plant species dispersed was lower at higher latitudes. Eight plant species recorded had not previously been recorded as dispersed via waterbirds, and only three species have an “endozoochorous dispersal syndrome”. Plant taxa were dominated by Caryophyllaceae, Cyperaceae, Juncaceae and Poaceae, with 24 species from the littoral zone (Ellenberg moisture values of 7-12) and 21 terrestrial species (Ellenberg moisture values of 4-6). Intact invertebrate propagules were found in 30% of the pellets, dominated by Cladocera (Daphniidae) and Bryozoa (including the alien Plumatella casmiana). 4. Our results demonstrate that grey herons disperse plant seeds and aquatic invertebrates widely in north-western Europe. Herons regurgitate pellets that contain plant and invertebrate propagules from both aquatic or terrestrial habitats, for which secondary dispersal via ingestion along with prey is the likely underlying mechanism (i.e. propagules either attached to or in the digestive systems of the various prey). Our findings showcase the potential of predatory waterbirds as vectors of plants and invertebrates, and how they may facilitate connectivity between freshwater and terrestrial habitats., Peer reviewed

This data set corresponds to figures 2 to 7 of the paper "Advective trapping in the flow through composite heterogeneous porous media" Juan J. Hidalgo, Insa Neuweiler, and Marco Dentz. The data contain information about flow and transport in porous media containing circular low permeability inclusions, i.e., breakthrough curves, trapping rates, and velocity distribution. In each file data are organized by columns and the format is compatible with the gnuplot graphing utility. When file contains multiple columns, data should be plotted using columns pairs. Contact: Juan J. Hidalgo (juanj.hidalgo@idaea.csic.es) This data set is licensed under the GNU General Public License v3.0 (https://www.gnu.org/licenses/gpl-3.0.txt), The data contain information about flow and transport in porous media containing circular low permeability inclusions, i.e., breakthrough curves, trapping rates, and velocity distribution., Peer reviewed