Resultados de investigación

[EN]The dataset contents the records retrieved and selected after bibliographical queries about sustainable food networks and their values. Query: ("ALTERNATIVE FOOD NETWORK*" OR "SHORT FOOD SUPPLY CHAIN*" OR "LOCAL* FOOD SYSTEM*") and ("VALUES" OR "CARE" OR “FOODSCAPE”). Query performed in WOS-SCOPUS-SCIELO. Data retrieved by all members of the ALISOS Research Project - https://proyectoalisos.com/

[EN]The dataset contents the transcripts of interviews to sustainable food networks located in the region of Castilla y León (Spain). Data retrieved by all members of the ALISOS Research Project based at the Universities of Salamanca and Valladolid - https://proyectoalisos.com/

[EN]The dataset contents the data retrieved from an online survey to customers of sustainable food networks located in the region of Castilla y León (Spain). Data retrieved by all members of the ALISOS Research Project based at the Universities of Salamanca and Valladolid - https://proyectoalisos.com/

[ES]Descripción del Corpus MIAMUL; Corpus temático de álbumes ilustrados sobre migración publicados en lengua inglesa., Ministerio de Ciencia, Innovación y Universidades, y Fondos FEDER MCIN/AEI/10.13039/501100011033

The repository consists of 6 Excel files containing raw laboratory data and 1 README file detailing variable descriptions and experimental conditions, [EN]Several Trichoderma species are recognized as biocontrol agents that can enhance plant defenses against a wide range of biotic and abiotic stresses. However, few studies have investigated Trichoderma activity against bacterial pathogens, and the Xanthomonas axonopodis pv. passiflorae (Xap)-Passiflora edulis pathosystem remains largely unexplored. Here, we analyzed the effects of cell-free filtrates from Trichoderma cultures on the growth of Xap. We also investigated the potential of T. asperellum T25 and T. harzianum T146, when applied to the plant growth substrate, to control bacterial blight caused by Xap in P. edulis, as well as the mechanisms underlying systemic defense responses in the host plant. In the absence of the pathogen, strain T25 promoted the growth of P. edulis plants. Fifty-day-old plants grown in substrate treated or untreated with a Trichoderma strain were inoculated or not with Xap, and changes in the expression of marker genes representative of jasmonic acid (JA) biosynthesis (LOX2), salicylic acid (SA)-dependent (PR1), and ethylene (ET)-dependent (PDF1.2) defense pathways were analyzed at 48 h post-inoculation (hpi) and 14 days post-inoculation (dpi). At 14 dpi, H₂O₂ content and the activities of three antioxidant enzymes -superoxide dismutase, peroxidase, and catalase- were also evaluated. Both Trichoderma strains controlled disease symptoms with similar efficacy. However, at the early stage of the P. edulis-Xap interaction, differential expression of SA- and JA-related genes was detected between T25-pretreated and T146-pretreated plants. Furthermore, at the later stage of the interaction (14 dpi), pretreatment with strain T146 increased ROS levels (measured as H₂O₂ content) in response to Xap, whereas the lowest oxidative levels were observed in plants inoculated with the pathogen alone. Our results demonstrate that T. asperellum and T. harzianum effectively control bacterial blight caused by a virulent Xap strain in P. edulis. This dataset contains the raw and processed laboratory data (comprising 6 excel files) corresponding to the experimental assays described in the study., - Spanish Ministry of Science and Innovation (MCIN/AEI/10.13039/501100011033) and European Regional Development Fund (ERDF / FEDER), Grant PID2021-126575OB-I00 - Regional Government of Castile and Leon, "Escalera de Excelencia" Program (CLU-2025-2-04), co-funded by ERDF (Castile and Leon 2021–2027 Operational Programme) - State University of Southwestern Bahia (UESB, Brazil), Institutional Scholarship Program for Doctoral Sandwich Program Abroad (Call No. 301/2024), Table 1_Xap_growth Table 2_Plant_height Table 3_Incidence_Severity Table 4_qPCR_48hpi Table 5_qPCR_14dpi Table 6_Biochemical_assay Readme_Dataset_document

[EN]This dataset was developed to support the development, training and evaluation of artificial intelligence and machine learning models for wildfire risk prediction in the Iberian Peninsula. The dataset integrates satellite observations from Sentinel-2 with meteorological information from ERA5 and fire-weather indicators derived from the Fire Weather Index (FWI) system. Data were collected for the period from 16 July 2024 to 31 August 2024, with observations obtained approximately at midday following the temporal criteria established by the Spanish State Meteorological Agency (AEMET). Sentinel-2 data include ten spectral bands (B2, B3, B4, B5, B6, B7, B8, B8A, B11 and B12). ERA5 meteorological information includes 2-metre temperature, 2-metre dewpoint temperature, the U and V components of 10-metre wind, and total precipitation. These variables were used to calculate the components of the Fire Weather Index using the FWIfunctions library (version 0.1.10), including Fine Fuel Moisture Code (FFMC), Duff Moisture Code (DMC), Drought Code (DC), Initial Spread Index (ISI), Buildup Index (BUI), and the resulting Fire Weather Index (FWI). The continuous FWI values were subsequently classified into five wildfire-risk categories: low, medium, high, very high and extreme. The class thresholds were established using the 40th, 65th, 85th and 95th percentiles of the FWI distribution, respectively. A common spatial grid with a resolution of 0.1° × 0.1° was used to harmonize Sentinel-2 and ERA5 information. The study area was defined using the bounding box [44, -10, 36, 4]. Each record represents a spatiotemporal observation linking satellite-derived information with meteorological and FWI-derived wildfire-risk information for a given location and date., This work was supported by the International Chair Project on Trustworthy Artificial Intelligence and the Demographic Challenge within the framework of the National Artificial Intelligence Strategy (ENIA). Reference: TSI-100933-2023-0001. Funded by the Secretary of State for Digitalization and Artificial Intelligence and by the European Union (NextGenerationEU).

[EN]Quantum dynamics of collisional cooling of the BN− anion in a cold trap is carried out by using the ortho- and para-H2 molecules as a buffer gas. The calculations are performed using the full four-dimensional interaction potential energy surface in which both BN− and H2 are treated as vibrationless rigid rotors, computed from ab initio methods and further accurately fitted using an artificial neural network approach. Relevant state-to-state rotationally inelastic cross sections are computed from quantum methods and the ensuing inelastic rate coefficients for the temperatures of interest are obtained. The latter are employed within a modeling of the cooling process at a variety of trap conditions. The results are discussed in the context of earlier data obtained using the rare gases He and Ar as buffer gases in the same trap. The effects of having either para- or ortho-H2 as collision partner are analysed., The Material includes: (1) all the original cross section data obtained for rotationally inelastic collisions of BN− with ortho- and para-H2 as projectile, (2) the corresponding state-to-state rate coefficients obtained from the cross sections, (3) the relative rotational state populations from the time evolution analysis obtained using the rate coefficients, and (4) the original routine that produces the NN fit of the initial raw data describing the 4D interaction.

This dataset contains information about soil physical, chemical and biochemical, climatic, physiographic and stand parameters of 32 plots belonging to the Spanish National Forest Inventory (SNFI) located in Pinus halepensis Mill. plantations and 35 plots belonging to the Sustainable Forest Management Research Institute (iuFOR; University of Valladolid and INIA) located in Pinus sylvestris L. plantations in Spain., Parameters included in the dataset: Plot: plot identification in the SNFI and iuFOR networks. Species: species present in each plot (1: Pinus sylvestris; 2: Pinus halepensis) Slope: gradient in the plot in percentage. Altitude: elevation of the plot in meters above the sea level Latitude and Longitude: geographical coordinates of the plots in degrees Density: number of trees per hectare in the plot Dg: quadratic mean diameter in centimetersç Hm: mean height in meters of the trees in the plot H0; dominant height in meters of the trees in the plot BA: basal area of the plot in square meters per hectare SI: site index; dominant height of the trees in the plot at the reference age (80 years for Pinus halepensis and 50 years for Pinus sylvestris stands) SQ: the site quality class Age: average age in years of the trees in the plot AW: soil available water in percentage CO: soil coarse particles in percentage Porosity: soil porosity in percentage CLAY: clay content in soil in percentage SILTUS: silt content in soil following the USDA criteria in percentage SILTIS: silt content in soil following the International criteria, in percentage SANDUS: sand content in soil following the USDA criteria, in percentage SANDIS: sand content in soil following the International criteria, in percentage OHT: organic horizon thickness in the plot in centimeters ([C/N]L): the total carbon to total nitrogen ratio in the litter fraction of the organic horizon ([C/N]FH): the total carbon to total nitrogen ratio in the fragmented plus humified fractions of the organic horizon L: amount of litter fraction in the organic horizon in tons per hectare FH: amount of fragmented plus humified fraction in the organic horizon in tons per hectare. pH: soil pH value CEC: cation exchange capacity in soil in centimoles of charge per kilogram of soil (Bascomb, 1964) EOC: amount of easily oxidizable C in soil in percentage (Walkley and Black, 1934) AP: amount of available phosphorus in soil in miligrams per kilogram of soil extracted with anion exchange membranes and determined with colorimetry (Murphy and Riley, 1962) TN: total N in soil in percentage TOC/TN: total organic C to total N ratio in soil Ca, Mg, Na, K: exchangeable calcium, magnesium, sodium and potassium in soil in centimoles of charge per kilogram of soil (Schollenberger and Simon, 1945) WSP: water soluble phenols in soil in micrograms of TAE per gram of soil (Box, 1983) Carbonates: amount of carbonates in soil in percentage (Bundy and Bremner, 1972) React_carb: amount of reactive carbonates in soil in percentage (Bashour and Sayegh, 2007) Gypsum: amount of gypsum in soil in centimoles of charge per kilogram of soil (Richards, 1954) Cu, Fe, Mn, Zn: amount of copper, iron, manganese and zinc in miligrams per kilogram of soil (Lindsay and Norvell, 1978) EA: soil exchangeable acidity in centimoles of charge per kilogram of soil (Bascomb, 1964) Sat: base saturation of soil in percentage AlA, FeA, MnA: amorphous aluminum, iron and manganese (AlA, FeA, MnA) in soil in centimoles of charge per kilogram of soil (Bascomb, 1968) AlM, FeM, MnM: organically bound aluminum, iron and manganese in soil in centimoles of charge per kilogram of soil (Blakemore et al. 1987) AlE: exchangeable aluminum in soil in centimoles of charge per kilogram of soil (Bertsch & Bloom, 1996) AlI: inorganic aluminum in soil in centimoles of charge per kilogram of soil (Mc-Keague et al., 1971) Cmic, Nmic, Pmic: amount of microbial biomass carbon, nitrogen and phosphorus in soil in milligrams per kilogram of soil (Vance et al. 1987) Cmin: amount of mineralizable carbon in soil in milligrams per kilogram of soil (Isermeyer, 1952) Cmin/TOC: mineralizable carbon to total organic carbon ratio Cmic/TOC: microbial biomass carbon to total organic carbon ratio qCO2: microbial metabolic quotient (Cmin/Cmic) in soil in grams per week and gram of soil FDA: fluorescein diacetate hydrolysis reaction (Alef and Nannipieri, 1995) in milliunits per gram of dry soil (nanomoles of fluorescein diacetate produced per gram of soil and minute) DHA: dehydrogenase activity (Casida et al., 1964) in milliunits per gram of dry soil (nanomoles of triphenyl formazan produced per gram of soil and minute) AcPhos, AlkPhos: acid and alkaline phosphatase activity (Tabatabai and Bremner, 1969) in milliunits per gram of dry soil (nanomoles of p-nitrophenol produced per gram of soil and minute) Urease: urease activity in soil (Hofmann, 1963) in milliunits per gram of dry soil (nanomoles of N per gram of soil and minute) Catalase: catalase activity (Tabatabai and Beck, 1971) in milliunits per gram of dry soil (nanomoles of O2 produced per gram of soil and minute) MAT: mean annual temperature in degrees centigrade (Ninyerola et al., 2005) MMWM: mean maximum temperature of the warmest month in degrees centigrade (Ninyerola et al., 2005) MMCM: mean maximum temperature of the coldest month in degrees centigrade (Ninyerola et al., 2005) MTWM: mean temperature of the warmest month in degrees centigrade (Ninyerola et al., 2005) MTCM: mean temperature of the coldest month in degrees centigrade (Ninyerola et al., 2005) TP: total precipitation in millimeters (Ninyerola et al., 2005) PW, PSP, PSU, PA: winter, spring, summer and autumn precipitation in millimeters (Ninyerola et al., 2005) PET, RET: potential and real evapotranspiration in millimetres (Thornthwaite, 1949 and Thorntwaite and Mather, 1955) Deficit: mean annual hydric deficit in millimeters (Thornthwaite, 1949 and Thorntwaite and Mather, 1955) Surplus: mean annual hydric surplus in millimetres (Thornthwaite, 1949 and Thorntwaite and Mather, 1955) AHI: Annual Hydric Index (Thornthwaite, 1949) Martonne: Martonne index (De-Martonne, 1926) Lang: Lang index (Lang, 1919)

This database contains information about soil, climatic, physiographic and stand parameters of 35 plots located in Pinus sylvestris L. plantations in Spain.

Cuadros, gráficas, planos e ilustraciones sobre las relaciones ferrocarril-industria en Valladolid de 1850 a 1950., Departamento de Fundamentos del Análisis Económico e Historia e Instituciones Económicas, Plano 1. FFCC e industria en Valladolid, c1850. Elaboración propia. Ver listado de fuentes. Plano 2. FFCC e industria en Valladolid, c1875. Elaboración propia. Ver listado de fuentes. Plano 3. FFCC e industria en Valladolid, c1900. Elaboración propia. Ver listado de fuentes. Plano 4. FFCC e industria en Valladolid, c1925. Elaboración propia. Ver listado de fuentes. Plano 5. FFCC e industria en Valladolid, c1950. Elaboración propia. Ver listado de fuentes. Plano 6. FFCC e industria en Valladolid a lo largo del tramo urbano del tren de vía estrecha, 1884-1952. Elaboración propia. Ver listado de fuentes. Gráfica 1. Valladolid 1850-1950: suelo FFCC + suelo industrial, acumulado según grado de relación con el FFCC (en Ha). Elaboración propia. Ver listado de fuentes. Gráfica 2. Valladolid 1850-1950: suelo FFCC + suelo industrial, acumulado por sectores (en Ha). Elaboración propia. Ver listado de fuentes. Gráfica 3. Valladolid 1860-1950: total de mercancías (salidas + llegadas) por sectores, Estación de Norte (en Tm). Elaboración propia a partir de: Gómez (1985) para el periodo 1874-1910; MCCIV para el periodo 1911-1926; y las Memorias de Renfe para 1943-1945. Ver listado de fuentes. Gráfica 4. Valladolid 1859-1904 y 1905-1950. Evolución de marcadores FFCC-INDUSTRIA en % sobre valor máximo del periodo, con promedio móvil. Elaboración propia. Ver listado de fuentes. Gráfica 5. Valladolid 1850-1950: evolución del suelo industrial por sectores (en Ha). Elaboración propia. Ver listado de fuentes. Gráfica 6. Valladolid 1859-1950. Gráficas de dispersión suelo industrial-consumo carbón industria y suelo industrial-transporte total mercancías Norte, con promedio lineal. Elaboración propia. Ver listado de fuentes. Cuadro 1. Fábricas construidas en Valladolid, entre 1860 y 1895, según la relación con el ferrocarril. Elaboración propia. Ver listado de fuentes. Cuadro 2. Fábricas construidas en Valladolid, entre 1896 y 1951, según la relación con el ferrocarril. Elaboración propia. Ver listado de fuentes. Cuadro 3. Tabla de industrias localizadas en Valladolid entre 1850 y 1951. Elaboración propia. Ver listado de fuentes.