BUSCADOR RECOLECTA

[Methodology applied] The dataset is based on the methodology of using of cadastral data to assess urban scale building energy loss. Energy loss is an optimal parameter for assessing the thermal quality of the building and has a direct impact on the heating energy demand; it is a key passive indicator for the identification of improvement needs in order to reduce their energy vulnerability and to propose effective long-term solutions. The estimation of heating demand (ISO 13790 2008) from the cadastral data allows the information to be aggregated and cross-checked at the census scale and for the neighbourhood level., [Indicators] See document below., [File formats, file structure and file nomenclature] See document below., [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

Birds were ringed and, date, recovery location, body mass, wing length (W), tarsus length (T), skull length (S), and four bill morphometric measurements were recorded. Bill measurements were culmen (C, from the base of forehead feathers in centre of nasal tube to distant part of the curve of the hooked bill), bill length at nostril (BL, from centre of dorsomedial part of tube to distant part of the curve of the hooked bill), bill depth (BD, from the base of forehead feathers to ventral surface of lower mandible), and bill depth at nostril (BDN, from the base of nasal tube at nostrils to ventral surface of bill). The biometrics were taken by the same person (BR) using a spring balance (nearest 5 g), a rule (precise to 1 mm), and an electronic calliper (nearest 0.01 mm). The presence of down in the head and belly was assessed in an ordinal scale (0 = absence, 1 = presence of down, and 2 = entirely covered by down), and the sum of the two values (head and belly) was used as a down index (DI), ranging from 0 (down absence) to 4 (head and belly entirely covered by down). Birds were assigned to one of the three treatments: GPS-tagged, tape-labelled, and control birds. GPS birds were tagged with customized GPS-GSM devices designed and provided by DigitAnimal (www.digitanimal.com, Móstoles, Spain). Each device was put in a heat-shrink tube for waterproofing, and its final size was 28 × 55 × 18 mm. The device weighed 23 g. Devices were attached to the mid-dorsal feathers of birds with TESA tape. GPSs were programmed to record a position every 30 seconds from approximately one hour after sunset on the day of deployment. We attached a 4-5 cm long stripe of TESA tape to the mid-dorsal feathers of tape-labelled birds. Then, we wrote a code number with a black permanent ink pen. Control birds were not GPS nor tape-labelled, but they were handled as long as the other treatment birds, and they were also measured and banded to allow identification., Peer reviewed

The dataset consists of two comma-delimited files (.csv) which contain data of reproductive success (fruit set, seed set, seed number) and seed weight, respectively, for six plant species subjected to artificial inoculation of nectar with the yeast M. reukaufii. In each file (Dataset_1 de Vega et al 2021 AJB.csv and Dataset_2 de Vega et al 2021 AJB.csv), each row refers to an individual flower. For Dataset_1 columns refer to study species (Species); Year; Plant code (Plant); Flower code (Flower); Treatment (Indirect_yeast, Indirect_control, Direct_yeast, Direct_control); Fruit (1 if fruit was produced, 0 if not); Ovules_seeds (number of ovules that developed mature seeds); Ovules_NOseeds (number of ovules that did not develop mature seeds); Total_seeds_produced (Total number of seeds per fruit); Fruit_dry_weight_only_for_Lonicera (in grams). For Dataset_2 columns refer to study species (Species); Year; Plant code (Plant); Flower code (Flower); Treatment (Indirect_yeast, Indirect_control, Direct_yeast, Direct_control); and Seed_weight (individual seed weight in grams). The codes of treatments are the following: Indirect_yeast (Inoculation of flowers with 1 µL of yeast solution (Inoculation solution prepared by suspending colonies of M. reukaufii in sterile distilled water with sucrose 20% w/v, to reach a final concentration of 2×104 cells/µL). Flowers exposed to pollinators; Indirect_control: (Inoculation of flowers with 1 µL of control solution (containing sucrose 20% w/v diluted in sterile distilled water but no yeast added). Flowers exposed to pollinators; Direct_yeast: Inoculation of flowers with 1 µL of yeast solution (Inoculation solution prepared by suspending colonies of M. reukaufii in sterile distilled water with sucrose 20% w/v, to reach a final concentration of 2×104 cells/µL). Flowers hand-pollinated and bagged to exclude pollinator visitation; Direct_control: Inoculation of flowers with 1 µL of control solution (containing sucrose 20% w/v diluted in sterile distilled water but no yeast added). Flowers hand-pollinated and bagged to exclude pollinator visitation. To be published in American Journal of Botany. Questions should be addressed to Clara de Vega cvega@us.es. This data set is subjected to a Creative Commons Attribution-NonCommercial-ShareAlike (CC-BY-NC-SA)., Peer reviewed

The DATASET compiles 24.305 files corresponding to individual images of glasses containing red wine. Each file name is unique and contains information of the parameters under which the photograph was taken (see DATA-SPECIFIC INFORMATION for details). The photographs of glasses containing wine were acquired with different smartphones equipped with high-resolution cameras (12 or 48 MP). Photographs were previously designed considering usual photographic parameters (see DATA-SPECIFIC INFORMATION for details)., This study was financially supported by Grants PID2019-108851RB-C21 and PID2019- 108851RB-C22 (Spanish Ministry of Science and Innovation), and co-funded by the European Social Fund (“FEDER Una manera de hacer Europa”), European Union., Peer reviewed

[Methodology applied] With the objective of overcoming the limitations of previous studies based on cost and income data, a methodology is proposed for the inclusion of a multidimensional fuel poverty index in the Analysis of Deprived Neighbourhoods in Spain (https://recyt.fecyt.es/index.php/CyTET/article/view/89234/64958). Fuel poverty is a cross-cutting and complex problem that needs to be approached holistically at the urban scale. The DATASET presented here identifies a series of existing vulnerable neighbourhoods from the census of 2011, located in the city of Madrid (Rodríguez-Suárez et al., 2021). From this sample, the areas that contain large amounts of energy inefficient buildings are selected. These areas are scored using a multidimensional index that assesses the risk of fuel poverty. The method proposed here crosses data from the “Observatorio de la Vulnerabilidad Urbana de España” (Hernández Aja et al., 2018) with other studies carried out for the quantification of fuel poverty and its spatial distribution. Energy inefficiency in buildings is addressed as an important vector of fuel poverty. Also, a series of indicators based on its causes and consequences are analysed to compose a multidimensional index: (1) presence of elderly population, (2) high energy costs (fuel and electricity bills), (3) low household income, and (4) inappropriate heating installations. The results can be related to basic indicators of urban deprivation contained at the Catalogue of Vulnerable Neighbourhoods. The full detailed methodology can be found in https://doi.org/10.1016/j.enbuild.2020.110205 (Martín-Consuegra et al., 2020)., [File formats, file structure and file nomenclature] See document below., [Legal aspects, access and security policies] Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)., 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

[Methodology applied] The methodology applied allows the localization of urban areas that are suffering from fuel poverty according to the 10% rule developed by the researcher Brenda Boardman in the 1990s. For this, we analyse average incomes per household and residential energy consumption for each urban area with Geographical Information Systems. By estimating the cost of energy services per household, the weight of the different factors influencing the energy services is uncovered: quality of construction, thermal facilities, energy sources supply and billing structure used by Spanish energy sector. These factors cause households -included in the minimum income brackets-to be at risk of energy poverty, despite of the energy efficiency of the dwelling. This means that specific public policies are needed to combat energy poverty, in order to complement energy refurbishment plans. Location of urban areas in energy poverty in the city of Madrid using the "10% rule" (Boardman, 1991). This procedure considers a household to be in energy poverty when it has to spend more than 10% of its income on energy bills. Indicator: Energy poverty (10%) This indicator identifies the census precincts in which the energy bill necessary to achieve comfort situations in the dwellings exceeds 10% of the average income. It includes accounting for the costs of heating, domestic hot water, cooling and other uses. The full detailed methodology can be found in: (Martín-Consuegra et al., 2019) http://www.eure.cl/index.php/eure/article/view/2723/1190, [File formats, file structure and file nomenclature] See document below., [Legal aspects, access and security policies] Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)., 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

Diel vertical migration exposes zooplankton to fluctuating environmental conditions. In our study, we investigated the physiological costs of diel temperature fluctuations of vertical migration in the neritic marine copepod Centropages typicus, and checked whether the direct effects of fluctuating temperature on copepod performance may differ from those of average temperature conditions (Jensen’s inequality). We determined the rates of egestion, egg production, and respiration of copepods exposed to four temperature regimes including one treatment that simulated diel vertical migration (DVM, 10 h at 14 °C and 14 h at 19 °C) and three treatments with constant temperature (14, 17 and 19 °C). We found that the physiological performance of C. typicus was not significantly different between fluctuating (DVM) and average (17 °C) temperature conditions, thus indicating that differences between varying and average temperature effects might not emerge in migrant zooplankton exposed to thermal variations of moderate magnitude (5 ºC). The copepods exposed to fluctuating temperature mimicking vertical migration (DVM) showed better performance (e.g. higher egg production) than those exposed to constant depth conditions (14 °C); however, no significant differences were detected when compared to constant surface conditions (19 °C). Our study indicates that neritic marine copepods experiencing daily moderate temperature fluctuations through vertical migration may not suffer physiological costs due to temperature associated with this behaviour. In this sense, these animals might have physiological mechanisms to compensate diel temperature fluctuations, which would represent a particularly relevant preadaptation to cope with the increased thermal variability predicted in future climates, This study was framed within the project ZOOTHERM (CTM2017-84288-R, MICIU/AEI/FEDER, UE), and Manuel Olivares was supported financially by an FPU grant (FPU15/01747) from the Spanish Ministry of Education, Culture and Sport, Number of experiment, date of experiment, temperature, bottle volume, prey species, prey species AphiaID, copepod species, copepod species AphiaID, copepod stage, prey concentration, prey size, number of copepods per bottle, copepod size, incubation time, egestion rate, egg production rate, respiration rate, Peer reviewed

zip file containing 6 folders and 1 pdf file Bioanalyzer folder [Chip1855.pdf: Chip1860.pdf] Auditory_function folder [Amplitudes_Latencies_analysis.pdf; Auditory_function.xlsx; Auditory_Threshold_analysis.pdf; Threshold_shift_analysis.pdf] Gene_expression folder [qPCR.xlsx; Table_Heatmapper_GSH.txt; RNAseq_raw_data.txt] Glutathione_and_Glutathione_Disulfide_Analysis folder [GSH.pdf; GSH.txt; GSSG.pdf; GSSG.txt; GSH_GSSG_Levels_Analysis.pdf; Lowry.pdf; Lowry.txt] G6PD_PGD_and_GSR_activity folder [Folder analysis (GSR_cyt_G6PD_PGD analysis.pdf; GSR_Exp2_Mito analysis.pdf); Extraction_quantification folder (Cyt Lowry.pdf; Cyt Lowry.txt; Mit Lowry.pdf; Mit Lowry.txt); Measurements folder (G6PD_PGD.pdf; G6PD_PGD.txt; GSR_Exp1_Cyt_Mit.pdf; GSR_Exp1_Cyt_Mit.txt; GSR_Exp2_Mito.pdf; GSR_Exp2_Mito.txt)] IHF folder [Folder IBA1 (IBA1_analysis.pdf; IBA1_Intensity_quantification.xlsx); P.H2AX folder (P.H2AX_analysis.pdf; P.H2AX_quantification.xlsx); Mitochondrial_complex _IV folder (Complex_IV_analysis.pdf; Complex_IV_intensity_quantification.xlsx); Hair_cells_counts_and_TUNEL_assay folder (Hair_cells_counts_analysis.pdf; Hair_cells_counts.xlsx; OHC_TUNEL.pdf; OHC_TUNEL.xlsx)] Blots Report_antioxidants-1296780.pdf, Peer reviewed

Material cartográfico., Materiales suplementarios para el artículo "Paisajes monumentales: análisis espacial del dispositivo amurallado del castro de Baroña (Porto do Son, A Coruña) mediante TIG", Peer reviewed

Data on Excel files, Whole rock analysis of Holocene volcanic ashes and lava domes of Southern Puna and neighboring areas (NW Argentina). The studied volcanic materials are associated with the 4.2 ka cal BP eruption of the Cerro Blanco Volcanic Complex., MINECO [CGL2011–23307], MINECO [CGL2008-00099/BTE], No