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  • All data stand for the year 2012 The IOT_Val_ARG file gives the input-output table in millions of pesos for 19 sectors The IOT_Qtities_ARG file gives the input-output table in quantities for 19 sectors. The energy sectors are in ktoe, and the others in "pseudo-quantities". The IOT_Prices_ARG file gives the unitary prices that are consistent with IOT in volume and value for intermediate consumption, final consumption, production and imports. The IOT_CO2Emis_ARG gives the energy-consumption related emissions in MtCO2 for intermediate consumption and final consumption.
    Data Types:
    • Tabular Data
    • Dataset
  • Original data for Supplementary Videos of "Enhancing Spontaneous Droplet Motion on Structured Surfaces with Tailored Wedge Design" by Wang et al., Adv. Mater. Interfaces. 2020 (doi: 10.1002/admi.202000520). The data are video recordings during experiments designed to verify the proposed theoretical model on prediction of spontaneous droplet movement on patterned surfaces with straight and curved wedges. The designed wedges can be described by the profile functions y = 0.009775 x^2 + 0.01534 x − 0.03014 (in mm, "curved wedge") and y = tan (3°)x + 0.2661 (in mm, "straight wedge"). – video “curve 5ul” compares the motion of 5 ml droplets placed on the curved wedge at three positions x0 away from the wedge tip; – video “curve x0 4.7mm” compares the motion of droplets of volume 3, 4 and 5 ml placed on the curved wedge at x0= 4.7 mm from the wedge tip; – video “straight 5ul” compares the motion of 5 ml droplets placed on the straight wedge at three positions x0 away from the wedge tip; – video “straight x0 6.0mm” compares the motion of droplets of volume 3, 4 and 5 ml placed on the straight wedge at x0= 6.0 mm from the wedge tip.
    Data Types:
    • Video
    • Dataset
  • In order to evaluate negative citations in articles and comments on PubPeer as mechanisms for correcting science, we have built up a corpus of articles associated with retraction or correction notices. As we are interested in citations, we focus here on articles with at least 1 citation according to Scite database, that is 45,811 articles.
    Data Types:
    • Tabular Data
    • Dataset
  • Original data for Supplementary Videos 1 and 2 of "Contactless probing of polycrystalline methane hydrate at pore scale suggests weaker tensile properties than thought" by Datig et al., Nature Comm. 2020. The data are video microscopy recordings during an experiment designed to form a polycrystalline methane hydrate halo, which is subsequently subjected to tensile stress using a contactless thermal method. Video 1: Under constant gas pressure of 15 MPa, the temperature is lowered at -5 K/min, followed by an annealing stage at -23.5 °C, and finally the temperature is raised at +0.2 K/min. Video 2: Under constant gas pressure of 15 MPa, the temperature is lowered at -5 K/min, followed by an annealing stage at -5 °C, and finally the temperature is raised at +0.2 K/min.
    Data Types:
    • Video
    • Dataset
  • Data Types:
    • Dataset
  • Compression test results: pellet modulus, pellet strength and maximal displacement for axial and radial directions (Fig. 8 and Fig 9. in article).
    Data Types:
    • Dataset
    • Text
  • Data Types:
    • Other
    • Dataset
  • - The IOT_KSA_Val file gives the input-output table in thousands of Riyals for 13 sectors. - The IOT_KSA_Qtities gives the input-output table in quantities for 13 sectors. The energy sectors are in ktoe, the cement and petrochemical sectors in tons, and the others in "pseudo-quantities". - The IOT_KSA_Prices gives the unitary prices that are consistent with IOT in volume and value for intermediate consumption, final consumption, production, and imports. - Income_Distribution gives the secondary income distribution among the represented institutional agents in thousands of Riyals. - The IOT_KSACO2Emis gives the energy-consumption related emissions in KtCO2 for intermediate consumption and final consumption.
    Data Types:
    • Tabular Data
    • Dataset
    • Document
  • Scopus coverage updates (2011-2018) Data aggregated from Elsevier title list files; it provides: - source ID in Scopus - Title - ISSN - ESSN - Year of the title list file used as source - SNIP - Open access status - Status in the database (Added, previously indexed) - Filed - Subfield - ASJC code
    Data Types:
    • Tabular Data
    • Dataset
  • The reported data have been acquired within a research project investigating the ability of infiltration-based Sustainable Drainage Systems to mitigate pollutant fluxes in stormwater runoff. Sorption experiments have been carried out in batch systems, in order to characterize the sorption behavior of three soils towards copper and zinc, and one soil towards four organic micropollutants: Bisphenol A (BPA), 4-tert-Octylphenol (OP), 4-Nonylphenol (4NP), and Nonylphenol Ethoxylate (NP10). The soil samples originate from three source-control infiltration facilities. • Soil 1 is a sandy loam from a roadside swale; • Soil 2 is a silt loam from a roadside filter strip; • Soil 3 is a sandy clay loam from an infiltration basin. All experiments were carried out in non-competitive systems (i.e., individual contaminants in each batch system). The “reference conditions” corresponded to an electrolyte solution which mimicked the composition of runoff water (Evian and ultrapure water, volumetric ratio of 1:10). The sorption behavior of metals onto soils 1 and 3 was also investigated in different conditions: • 1.0 g/L of sodium chloride, to investigate the effects of deicing salt in runoff water; • 10 mg/L of humic acids, to represent the natural generation of dissolved organic matter in the soil solution. The methodology used to select the experimental conditions is thoroughly described in a research article entitled: “Evaluation of contaminant retention in the soil of Sustainable Drainage Systems: methodological reflections on the determination of sorption isotherms” (Blue-Green Systems 1(1), doi: 10.2166/bgs.2019.196). The appended files present the experimental points of the sorption isotherms for each characterized soil. • Soil 1: metals in the reference conditions (Metals_ref), metals with sodium chloride (Metals_NaCl), metals with humic acids (Metals_HA), organic micropollutants; • Soil 2: metals in the reference conditions; • Soil 3: metals in the reference conditions, metals with sodium chloride, metals with humic acids. The concentrations in the dissolved phase are referred to as “X_diss”, where X is the studied species (Cu, Zn, etc.), and are expressed in mg/L. BPA stands for Bisphenol A, OP stands for 4-tert-Octylphenol, 4NP stands for 4-Nonylphenol, and NP10 stands for Nonylphenol Ethoxylate. The contents in the solid phase are referred to as “X_sorb” and are expressed in mg/kg. In case the tests were carried out in duplicates, the columns “X_diss” and “X_sorb” correspond to the mean values of the experiments; two additional columns, referred to as “sdX_diss” and “sdX_sorb”, provide the standard deviations (also expressed in mg/L and mg/kg, respectively).
    Data Types:
    • Tabular Data
    • Dataset
    • Document
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