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Documentos que contienen las transcripciones del grupo focal y entrevistas a jóvenes adultos en Lima Metropolitana.

Dataset for publication in Data in Brief. A small sample dataset file (10 rows) has been included.

The datasets are measured solar radiation and PV power from the zero-emission building laboratory (ZEB Lab) in Trondheim, Norway. The datasets cover three years 2023, 2024 and 2025. The data files are made available in Excel worksheet format for each year. The data records are made on one hour time interval. The solar radiation data cover measurement from pyranometers at the north, west, east and south facades; and the pergola shade at 60 degree tilt and the roof at 30 degree tilt both oriented to the south. The datasets provide useful information on solar radiation resource and PV electric generation on ZEB in a location at high latitude. The datasets are also useful for validation of simulation models related to the performance of building integrated photovoltaic (BIPV) in the high latitudes. Further description of the datasets is available in a paper to be published in a Data In Brief journal.

-- Overview -- This replication package contains the datasets, code, and shapefiles required to reproduce the empirical analysis, tables, and figures for the paper "Water Mills and Human Capital Accumulation in Industrializing Prussia." -- Research Hypothesis -- The study investigates whether water-powered proto-industrialization fostered the accumulation of practical, artisanal human capital in early nineteenth-century Prussia. Testing the generality of the mechanism proposed by Mokyr et al. (2022) for Britain, the paper hypothesizes that the construction, maintenance, and industrial application of water mills created a unique demand for skilled labor (e.g., millwrights, metalworkers) and generated technological spillovers that facilitated early industrial development. -- Data Description and Collection-- The dataset combines historical administrative records with high-resolution geographic data. 1. Historical Census Data: The core economic and demographic variables are derived from Prussian administrative statistics. This includes county-level data on population, religion, education, and specific occupational categories (master craftsmen) from the ifo Prussian Economic History Database (iPEHD) and the 1849 census. 2. Mill Data: The package features newly digitized data on the number and type of mills (water, wind, animal, saw, oil, and fulling mills) for all Prussian counties in 1819, transcribed from Mützell’s New Topographical, Statistical, and Geographical Dictionary of the Prussian State (1825). 3. Geography: Terrain ruggedness and water power potential variables were computed using the MERIT DEM and MERIT Hydro databases at a resolution of 3 arc-seconds (approx. 90 meters). -- Findings and Interpretation -- The analysis employs an Instrumental Variable (IV) strategy, exploiting terrain ruggedness as an exogenous predictor of water mill location. The data shows that: 1. Skill Accumulation: There is a robust, positive causal effect of water mill density in 1819 on the share of skilled master craftsmen in 1849. 2. Population Growth: Water mills were positively associated with population growth during the early industrial phase (1821–1849), a proxy for economic development. 3. Technology Differences: Unlike water mills, wind and animal mills did not yield comparable developmental benefits, highlighting the unique role of hydraulic power in pre-industrial manufacturing. -- Usage -- The package includes R scripts for data construction, regression analysis, and visualization, as well as a Stata script for spatial unit root diagnostics. Users can replicate the main OLS and IV results, robustness checks, and generate the maps used in the paper. An R Project file is included to ensure reproducibility of the computing environment.

Supplementary data table and figures related to a paper published in JGR Oceans with the title "Annual variations of seawater carbonate system in the surface layer of the South-Eastern Mediterranean Sea"

This dataset supports the manuscript entitled "Imaging-Enabled Spectral Flow Cytometry Panel for Profiling PD-1⁺/PD-L1⁺ Immune Cells interactions in humans". This dataset contains imaging-enabled spectral flow cytometry raw data generated from peripheral blood leukocytes obtained from healthy adult human volunteers following informed consent and local ethical approval. Whole blood was collected in EDTA tubes and processed for leukocyte isolation by red blood cell lysis. Briefly, 500 µL of whole blood was transferred to 15 mL conical tubes, incubated with 10 mL of ammonium chloride-based lysis buffer for 5 min at room temperature, and centrifuged at 450 × g for 5 min. After supernatant removal, cells were washed once with DMEM, centrifuged again, and resuspended for counting. Leukocytes were adjusted to 1 × 10^5 cells per condition. The dataset includes two main experimental groups: non-stimulated leukocytes and stimulated leukocytes. For the stimulated group, cells were cultured for 16 h at 37°C in a humidified incubator with 5% CO2 in DMEM supplemented with heat-inactivated fetal bovine serum, anti-CD3 (1 µg/mL), anti-CD28 (1 µg/mL), and IFN-γ (10 ng/mL). The non-stimulated group was cultured under the same conditions in medium alone and served as the control. These two biological conditions were used to compare basal and induced expression of PD-1 and PD-L1 across human leukocyte populations. After culture, cells were stained for imaging-enabled spectral flow cytometry. Samples were first incubated with Fc block and Fixable Viability Stain 780, followed by staining with the optimised antibody panel. The final panel included CD5 BUV395, CD4 BV510, CD8 BV421, CD14 V450, CD15 APC, CD19 BV786, CD45 Pacific Orange, CD56 APC-R700, PD-1 PE-Cy7, and PD-L1 BB515. After staining, samples were washed, resuspended in staining buffer, and acquired on a BD FACSDiscover™ A8 instrument equipped with BD CellView™ technology. In addition to the main biological groups, the dataset also includes control samples used for panel optimisation, spectral unmixing, and validation. These controls comprise unstained controls, single-stained controls prepared from stimulated and non-stimulated leukocytes, Fluorescence Minus Imaging (FMI) controls containing all non-imaging fluorochromes except those assigned to imaging channels, and Fluorescence Minus One (FMO) controls lacking either PD-1 or PD-L1. These controls were used to assess background signal, unmixing quality, spillover into imaging channels, and marker resolution. Overall, this dataset provides raw and control data for the development and validation of an imaging-enabled spectral flow cytometry panel designed to identify major leukocyte subsets and to evaluate PD-1/PD-L1 expression and immune cell interactions in human peripheral blood.

This replication package contains the code necessary to reproduce all tables and figures in the paper “Rating Public Procurement Markets.” We also provide some of the raw data used in the analysis and pseudo data files where most fields have been replaced with random values to comply with restrictions on data sharing. See the provided README for additional details.

Consumer acceptance data on attitudes and purcahse intentions

With the development of large-scale and light-weight ships, sandwich composites are increasingly used in hull structures because of their advantages of light weight, excellent mechanical properties, and corrosion resistance. Due to the synergistic effect among materials, sandwich composites overcome the shortcomings of single materials and become the main components in composite ship. In actual composite ship, sandwich composites are subjected to the combination of in-plane and out-of-plane loads. The ultimate strengths and failure modes of sandwich composites under combined load cases are complex and variable since the great difference in performance between component materials and material progressive damage of composite. In this paper, progressive failure analysis method and bi-modulus model are used to analyze the ultimate strength and failure modes of sandwich composites under biaxial compressive loads and lateral pressure. 24 cases are simulated with varied load combinations. The results are presented and discussed in terms of force end-shortening curves, ultimate strength, and failure modes. The numerical results indicate that loading sequence affects the progressive failure process of composite but has little influence on the ultimate strength of sandwich and lateral pressure would reduce the ultimate load-carrying capacity. Compared to uniaxial load, the failure modes under combined loads are more complex and variable and are Significantly influenced by the load combinations. The results of this investigation can be helpful for understanding combined loads’ influence on the ultimate strengths and failure modes of marine sandwich composite and contribute to advancing the feasibility analysis, safety assessment, structural design, and optimization of composite materials for hull structures.

This is the supplementary material for the article "Recycled Manure Solids Bedding Facilitates Heavy Metal Mediated Migration of Antibiotic Resistance Genes in Large-Scale Dairy Farms" Supplementary Table and Figure.docx: Primer sequences, standard curve parameters, average relative and absolute abundance, and the distribution of overlapping for ARGs and MGE among the groups; Relative abundance of the bacterial phyla and genera level;the correlation of ARGs, MGEs and bacterial genera; The contribution of environmental variables to the variation of ARGs and the variance explained.