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This dataset is composed of 2 files: a database (in csv format) with 695 records of biogeochemical variables (temperature, salinity, oxygen, nutrients, pH and total alkalinity) analyzed in water samples collected at the GIFT time series and a Readme (txt) file that includes a short description of the variables provided., If the dataset is used, please consider citing Flecha et al., (2019) (doi: 10.1038/s41598-019-52084-x)., This data set includes recently published data used to assess the temporal evolution of pH in Atlantic and Mediterranean water masses exchanging at the Strait of Gibraltar (Long:-5.345, Lat: 36.137, Datum:WSG84) during the decade 2005-2015 and to calculate the magnitude of natural and anthropogenic components on total pH changes (Flecha et al., 2019). The database provides measurements of carbon system parameters in water samples collected at 3 stations that form the marine time series GIFT during 26 oceanographic campaigns conducted over the decade 2005–2015. Geographic coordinates of sampling stations are provided. Some physical data (i.e. pressure, temperature and salinity) are also included. During the cruises, a temperature and salinity profile in each station was obtained with a Seabird 911 Plus CTD probe connected to a rosette sampler. Conductivity measurements were converted into practical values of the salinity scale with the UNESCO equation (1986). Seawater was subsequently collected for biogeochemical analysis using Niskin bottles immersed in the oceanographic rosette at variable depths (from 5 to 8 levels) depending on the instant position of the interface between the Atlantic and Mediterranean flows that was identified by CTD profiles. The biogeochemical variables shown in the database are pH in total scale at 25 °C (pHT25), total alkalinity (AT), Dissolved Oxygen (DO) and inorganic nutrients (nitrate, NO3− and Silicate, SiO44−). pHT25 data were obtained by the spectrophotometric method with m-cresol purple as indicator (Clayton & Byrne 1993) with an addition of 0.0047 (DelValls & Dickson, 1998). Samples were taken directly from the oceanographic bottles in 10 cm path-length optical glass cells and measurements were carried out with a Shimadzu UV-2401PC spectrophotometer containing a 25 °C-thermostated cells holder. Samples for AT analysis were collected in 500-ml borosilicate bottles, and poisoned with 100 μl of HgCl2-saturated aqueous solution and stored until measurement in the laboratory. AT was measured by potential titration according to Mintrop et al. (2000) with a Titroprocessor (model Metrohm 794). DO concentration was obtained through automated potentiometric modification of the original Winkler method using the Titroprocessor. Upon collection, flasks were sealed, stored in darkness and measured within 24 h. Water samples (5 mL, two replicates) for inorganic nutrients determination were taken, filtered immediately (Whatman GF/F, 0.7 μm) and stored frozen for later analyses in the shore-based laboratory. Nutrients concentrations were measured with a continuous flow auto-analyzer using standard colorimetric techniques (Hansen & Koroleff 1999). More details on procedures and data structure are given in a single README file (txt). The data are provided as [space] delimitated plain text files., Plan Estatal de I+D+i, European Commission, CSIC. CARBOOCEAN (FP6-511176), SESAME (FP6-036949), CARBOCHANGE (FP7-264879), PERSEUS (FP7-287600), COMFORT (H2020-820989), CTM2006-28141-E/MAR, CTM2016-75487-R., 1 data csv‘GIFT_carbonparameteres_2005_2015.csv’ file and 1 readme.txt file., Peer reviewed

The dataset provides data on survival, rhizome elongation (cm day-1), recruitment rate (day-1), net population growth rate (day-1), gross primary production (GPP; mmol 02 day-1 gDW-1), respiration (R; mmol 02 day-1 gDW-1) and net production (NP; mmol 02 day-1 gDW-1) of exotic (Greece and Cyprus; Mediterranean) and native (Saudi Arabia; Red Sea) Halophila stipulacea populations exposed to 12 seawater temperature treatments ranging from 8 to 40°C., Peer reviewed

The item is made of 6 files: 1) README.txt; 2) TCO2_NNGv2LDEO_climatology.nc contains the climatology of TCO2 centered in 1995 and computed with NNGv2LDEO in netcdf4 format; 3) pCO2_NNGv2LDEO_climatology.nc contains the climatology of pCO2 centered in 1995 and computed with NNGv2LDEO and NNGv2 of Broullón et al. (2019) in netcdf4 format ; 4) NNGv2LDEO.mat is the neural network object used to create the climatology of TCO2; 5) TCO2NNWOA13.mp4 is a video of the surface climatology, 3 vertical sections in the Pacific Ocean, Atlantic Ocean and Indian Ocean and, the variation in depth of one month (April); 6) Example.rar contains an example matrix of inputs and targets to the neural network, the NNGv2LDEO.mat and a MATLAB script to compute TCO2 with NNGv2LDEO, This research was supported by Ministerio de Educación, Cultura y Deporte (FPU grant FPU15/06026), Ministerio de Economía y Competitividad through the ARIOS (CTM2016-76146-C3-1-R) project co-funded by the Fondo Europeo de Desarrollo Regional 2014-2020 (FEDER) and EU Horizon 2020 through the AtlantOS project (grant agreement 633211), No

Creative Commons License: Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)., The dataset includes behaviour of Montagu´s harrier females in repeated nest visits by humans during 20 years in western France, as well as personality estimates (evaluated as the random intercept of the behavioiural responses when taking into account the time in the breeding season when the nest visits were made, as well as whether the male was present or not in the nest visit) and breeding success of each monitored individual., Peer reviewed

Este conjunto de datos consta de tres archivos: readme.txt con descripción de las variables, AbetoneMarteloscope_expert.txt: árboles marcados por los expertos siguiendo cuatro tipos de clara y AbetoneMarteloscope_raters.txt: árboles marcados por participantes siguiendo dos tipos de clara. Estos datos fueron tomados para analizar el efecto de variables socio-demográficas (sexo, edad y tipo de educación) en la selección de árboles para su apeo según distintos tipo de claras., Marteloscopes are training areas where forestry students and practitioners mark trees according to silvicultural objectives. This dataset comprises the trees selected for harvesting in a marteloscope according to different alternatives: systemic, traditional, crown and low thinning. Tree records on species, diameter and total height are also provided. Raters were classified according to socio-demographic variables including binary gender (female and male), age class (more or less than 40 years) and educational background (forester vs. non-forester). A total of 24 raters participated in the marking procedure., readme.txt: Authorship and description of the whole data set; AbetoneMarteloscope_experts.txt; Marked trees by experts applying different thinning alternatives: traditional, systemic, crown and low; AbetoneMarteloscope_raters.txt: Marked and unmarked trees by raters applying systemic and traditional thinning alternatives, No

Los datos pertenecen al trabajo: Gómez, E.J., Delgado, J.A., González, J.M. (2020) Environmental factors affect the response of microbial extracellular enzyme activity in soils when determined as a funciton of water availability and temperature. Ecology and Evolution (Artícle in press), RDA plot showing the correspondence of water activity giving the optimum enzyme activity and environmental parameters. Capital letters (in black) represent the sampled soils (G, Galicia, P, Aragón; S, Salamanca; C, Sevilla; T, Cádiz). Arrows represent the environmental variables (soil texture, sand and silt content) contributing significantly to explain the variability of water activity resulting in optimum enzyme activity. The distribution of enzyme activities are presented in red: Glu_20, glucosidase activity at 20ºC; Glu_60, glucosidase activity at 60ºC; Pho_20, phosphatase activity at 20ºC; Pho_60, phosphatase activity at 60ºC; Pro_20, protease activity at 20ºC; Pro_60, protease activity at 60ºC. Figure, This study was supported by funding through projects from the Spanish Ministry of Economy and Competitiveness (CGL2014-58762-P) and the Regional Government of Andalusia (RNM2529). These projects have been cofunded by FEDER funds., Peer reviewed

Los datos pertenecen al trabajo: Gómez, E.J., Delgado, J.A., González, J.M. (2020) Environmental factors affect the response of microbial extracellular enzyme activity in soils when determined as a funciton of water availability and temperature. Ecology and Evolution (Artícle in press), Scattered plots showing the relationship between water activity (X-axis), percentage of maximum enzyme activity estimates at 20ºC (left) and 60ºC (right) (proportional to diameter of circles) with environmental variables (Y-axis), specifically, two climaterelated parameters, the annual average of hot days (>30ºC)(A) and the annual average of consecutive days without precipitation (B), and soil-texture through the fraction of sand in the sampled soils (C). Symbol colors indicate the type of enzyme (Dark to light: Glucosidase, Phosphatase, Protease) and the analyzed soil (Greenish, Galicia (G); bluish, Aragón (P); brownish, Salamanca (S); reddish, Sevilla (C); purplish, Cádiz (T))., This study was supported by funding through projects from the Spanish Ministry of Economy and Competitiveness (CGL2014-58762-P) and the Regional Government of Andalusia (RNM2529). These projects have been cofunded by FEDER funds., Peer reviewed

Los datos pertenecen al trabajo: Gómez, E.J., Delgado, J.A., González, J.M. (2020): Persistence of microbial extracellular enzymes in soils under different temperatures and water availabilities Ecology and Evolution (Artícle in press), Examples of the decay curves for extracellular enzymes from mesophiles and thermophiles at 20ºC and 60ºC in a South Spain (Seville) soil under water activity 1 (wet conditions). Red circles, decay of enzyme activity from thermophiles at 60ºC; pink circles, decay of enzyme activity from thermophiles at 20ºC; black triangles, decay of enzyme activity from mesophiles at 20ºC; grey triangles, decay of enzyme activity from mesophiles at 60ºC. Points are average values from triplicates. Error bars indicate a standard deviation, No

Dataset and code of the article., Reliable crop monitoring systems provide critical information to detect and track anomalies in the status of crops. These systems are fundamental for the development of integrated methodologies that inform agricultural policy, market analysis, or producer decision-making. They are also used in the development of early warning systems that permit to anticipate drought conditions and trigger action to mitigate short term food shortages or to stabilize the structure and pricing of agricultural markets. Current efforts to develop crop monitoring systems exploit meteorological and crop growth models, and satellite imagery. However, legacy sources of information such as operational crop rating surveys that have long and uninterrupted records receive less attention. We argue that crop rating data, despite its subjective and non-quantitative nature, captures the complexities of assessing the 'status' of a crop better than any model or remote sensing retrieval. This is because crop rating data naturally represents the broad expert knowledge of many individual surveyors spread throughout the country. Crop rating surveys in effect constitute a sophisticated network of "humans as sensors" that provide consistent and accurate information on crop progress. We analyze data from the USDA Crop Progress and Condition (CPC) survey between 1987 and 2019 for four major crops across the US (corn, soybeans, winter wheat, and upland cotton). We show how the original qualitative data can be transformed into a continuous, probabilistic variable better suited to quantitative analysis, and demonstrate it can be used to monitor crop status and provide early predictions of crop yields., Peer reviewed

Images of dental surfaces obtained from confocal microscope Plu Neos Sensofar, Dental Microwear Analysis (DMA) is currently used for obtaining information on diet of different animal species. Low-magnification Microwear Dental Analysis (LMDA) is a DMA technique based on the identification of microfeatures (pits and scratches) on the tooth enamel surface. During the last decade, Dental Microwear Texture Analysis (DMTA) has gained momentum as an alternative quantitative methodology thus offering more reliable and replicable results and allowing highlighting subtle dietary differences. In this paper we explore the capacities of LMDA and DMTA for discriminating flock managing strategies. Two groups of sheep that were fed differently during the last month of life, one roaming on rangeland, combining Mediterranean forest and meadows and the other on grassland were analysed. While LMDA did not allow discriminating both groups, DMTA showed significant differences between them. DMTA revealed good predictive capacity for the correct classification of the individuals grazing on grasslands, and a poor one for the ones grazing on rangeland, as some of them overlapped with the grassland group. The limitation for correctly classifying roaming individuals is probably explained by the variable composition of plants on rangeland. We used the classificatory rule obtained from the experimental program to classify two archaeological collections of caprines (sheep and goats), from two Iron Age sites from the north-east of the Iberian Peninsula: The Iberian site of El Turó de la Font de la Canya and the Greek colony of Empúries. Finally, we compared the results with those obtained in previous studies using low-magnification microwear techniques (LMDA). In this way, we show the potential of DMTA for discriminating between animal feeding strategies in the past., Peer reviewed