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- Meteorological Data Cabo San Lucas, BCS, Mexico (MeteoUABCS)The MeteoUABCS project is an initiative promoted by the Laboratorio de Investigación en Gestión Integral del Riesgo (LIGIR) of the Autonomous University of Baja California Sur (UABCS), whose objective is the installation and operation of a network of weather stations to provide high-resolution meteorological data to the university community and the population of Baja California Sur. The information is presented in real time on a geovisualizer, which can be accessed at the link: https://sites.google.com/uabcs.mx/cigir-uabcs/meteouabcs?authuser=0 The database corresponds to the meteorological data from the station located in the town of Cabo San Lucas, Baja California Sur, with coordinates: 22°53'46.33"N 109°54'48.10"W, at 29m The current version includes the following variables: Date Simple Date Outdoor Temperature (°C) Feels Like (°C) Dew Point (°C) Wind Speed (km/hr) Wind Gust (km/hr) Max Daily Gust (km/hr) Wind Direction (°) Daily Rain (mm) Weekly Rain (mm) Monthly Rain (mm) Yearly Rain (mm) Total Rain (mm) Relative Pressure (hPa) Humidity (%) Ultra-Violet Radiation Index Solar Radiation (W/m^2) Indoor Temperature (°C) Indoor Humidity (%) Hour Average (µg/m^3) Outdoor Battery Absolute Pressure (hPa) Indoor Feels Like (°C) Indoor Dew Point (°C). The time scale is from July 27 2024, to June 15 2026.
- How Urban Can Become More Resilient? The Enabling Effect of Industrial ConvergenceResults of the robustness analysis and heterogeneity analysis.
- Peinke and Shrader: Do African elephants use visual cues of food quantity when making foraging decisions? This data set comprises the data for the visual choice experiments testing the elephants' ability to discriminate canopy size (i.e., 1 m, 0.7 m diameter) and leaf density (25%, 50%, 100%) over multiple distances (i.e., 3, 5, 10, 20, 40, 80 m), as well as the canopy size training data.
- Adhesion-clutch drives three-dimensional axon outgrowthAxon outgrowth requires forces generated by the growth cone. A key model explaining this force generation is the adhesion-clutch mechanism, through which the backward force of treadmilling actin filaments is transmitted to the extracellular environment via adhesion and clutch molecules. However, this mechanism has not been validated in three-dimensional (3D) environments. Additionally, a recent study reported that inhibiting actin dynamics or the cell adhesion molecule integrin did not affect axon outgrowth in a 3D collagen gel, challenging the adhesion-clutch paradigm. Here, we show that the adhesion molecule N-cadherin and the clutch molecule shootin1a form a non-integrin adhesion-clutch in a 3D environment containing an appropriate adhesive substrate, N-cadherin. We detected forces produced by growth cones when N-cadherin was present. Furthermore, inhibition of N-cadherin, shootin1a or actin dynamics inhibited 3D axon outgrowth. Our findings demonstrate that the adhesion-clutch is a critical machinery for 3D neural network formation under the regulation of specific adhesions.
- Prevotella stercorea defines dual ecological pathways linking the gut microbiome to infection susceptibility Research hypothesis We hypothesised that Prevotella stercorea, previously associated with reduced infection risk in Gambian children, exerts protection through two mechanistically distinct ecological pathways: a community-mediated pathway operating through microbiome richness and colonisation resistance, and a species-autonomous pathway independent of community structure. We further hypothesised that expression of the species-autonomous pathway is conditioned by host immune-metabolic reserve, operationalised using weight-for-age z-score (WAZ), and reflected in host inflammatory phenotypes. What the data shows This dataset contains species-level gut microbiome taxonomic abundance data, clinical metadata, anthropometric measures, inflammatory biomarkers, and adverse event records from 633 children aged 6–35 months enrolled in the IHAT-GUT randomised controlled trial (NCT02941081) in rural Gambia. Stool samples were collected at Days 1, 15, and 85 of follow-up. Adverse events, including acute respiratory infection (ARI), diarrhoea, fever, and infection-related illness, were recorded prospectively over 113 days. Systemic inflammatory biomarkers include C-reactive protein (CRP), alpha-1-acid glycoprotein (AGP), and faecal calprotectin. Notable findings P. stercorea positively predicts gut microbiome richness across all timepoints, consistent with a role in community assembly and colonisation resistance. However, its association with reduced ARI frequency (IRR = 0.946, p = 0.002) persists unchanged after richness adjustment, while richness itself is not associated with ARI, supporting a richness-independent, species-autonomous pathway. In contrast, diarrhoeal outcomes show directionally consistent evidence of partial richness mediation. A co-occurring congener, P. copri, does not retain an independent ARI association in joint models despite comparable associations with richness, indicating species specificity. Host context modifies these relationships: in lower-WAZ children, P. stercorea associates with reduced CRP and reduced ARI/fever burden, whereas in higher-WAZ children, baseline inflammatory tone predicts subsequent colonisation, consistent with host-context-dependent immune coupling. Data interpretation and use Species-level microbiome abundances are expressed as relative abundances and should be log-transformed (log₁+x) prior to regression modelling. Species richness is defined as the number of taxa with non-zero abundance per sample. Adverse event frequencies and durations were truncated at 5 episodes and 30 days, respectively, to reduce outlier influence. The complete reproducible analysis pipeline, including R scripts, model specifications, and mediation analyses, is available at: https://github.com/ofordile-star/IHAT_Pstercorea
- Acoustic-Streaming Regime Map for Topology-Dependent Hotspot Cooling Capacity in a Differentially Heated Mini-ChannelThe excel file used to extract the figures and includes all data. The excel file has multiple sheets each with title name for their content.
- Cross-Correlation Functions and Seismic Velocity Change of Haiyuan Fault ZoneThe dataset contains the Cross-Correlation Functions (CCF) and velocity change (dv/v) from different methods of Haiyuan Fault Zone . Due to file size limitations, just the Z-component cross-correlation functions are shown here. We also share local temperature data from Zhongning meteorological station during study period (ID 53705, China).
- Reproducibility archive for Finite Functional Jet DiagnosticsThis archive contains the LaTeX source, Python source, experiment drivers, reported CSV outputs, metadata, checksums and supplementary figures needed to audit the experiments and tables reported in the manuscript “Finite Functional Jet Diagnostics for Kernel-Family Selection and Invariant Representation Auditing”.
- Using hyperspectral imaging to achieve optimal disease protection by combinations of priming chemicalsThis data set contains the R code (as a quarto file - see https://quarto.org/) and associated datasets.
- Elastic properties of dolomiteThis dataset contains the supplementary computational data for the article "First-principles study of the elasticity and compressibility of dolomite". it includes CRYSTAL23 output files (.out) from ab initio simulations of dolomite, providing detailed results on elastic properties and equation of state parameters. All the calculations were performed at static conditions with the following Hamiltonians: LDA, PBE, PBEsol, r2SCAN, M06L, B3LYP, PBE0, PBEsol0, WC1LYP, M06, HSE06, HSEsol, PBE-D3, PBE0-D3, B3LYP-D3, M06L-D3, M06-D3, HSE06-D3 and HSEsol-D3. Files are organized according to the chosen functionals, with each subfolder containing the output file and extracted properties. These data support all computational results discussed in the main manuscript entitled "First-principles study of the elasticity and compressibility of dolomite".

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