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Mercury (Hg) and carbon (C) data were derived from gold mine and clean sites in Guyana and globally synthesized studies. Patterns of Hg/C patterns in environmental media (foliage, leaf litter, soil, water, sediment) near artisanal gold mining sites in Guyana were compared with those observed globally (25 studies) to provide a greater understanding of Hg movement within the biosphere. Patterns of Hg/C ratios in environmental media were similar in Guyana and globally synthesized studies, but with much higher values close to gold mines compared with global average.

The study was conducted in 59 walnut orchards located in the municipalities of Meoqui, Rosales, Saucillo and Delicias, in the state of Chihuahua, with the objective of evaluating the impact of various elements, as determined through leaf analysis, in orchards exhibiting and those not exhibiting dieback. Ns Nitrogen content, as a percentage, in leaf analysis Ps Phosphorus content, as a percentage, in leaf analysis Ks Potassium content, as a percentage, in leaf analysis Cas Calcium content, as a percentage, in leaf analysis Mgs Manganese content, as a percentage, in leaf analysis Nas Sodium content, as a percentage, in leaf analysis Fes Iron content, in ppm, in leaf analysis Zns Zinc content, in ppm, in leaf analysis Cus Copper content, in ppm, in leaf analysis Mns Manganese content, in ppm, in leaf analysis Bs Boron content, in ppm, in leaf analysis

El análisis de los metadatos relacionados a la investigación titulada “¿Cuáles son las intervenciones con Estimulación Magnética Transcraneal para Alzheimer en Adultos Jóvenes?” se comprobó que la gran parte de los campos principales habían estado completos y bien documentados, por lo cual dio paso a disponer de información solida sobre afiliaciones, autores, DOI, tipo de documento, idioma, año de publicación y títulos. Sin embargo, se identificaron vacíos significantes: el resumen y el autor correspondencia presentaron un 5,26% de ausencia, las palabras clave llegaron a un 15,79% de datos faltantes y de manera más crítica, las referencias citadas y las categorías científicas estuvieron completamente ausentes (100%). En conjunto, los resultados evidenciaron que la base de datos había ofrecido suficiente información para reconocer a las intervenciones aplicadas, a pesar, de carencias significativas que limitaron la contextualización y el rastreo de la evidencia científica sobre la enfermedad del Alzheimer en adultos jóvenes. En el análisis de la tabla se evidenció que las publicaciones relacionadas con intervenciones de Estimulación Magnética para Alzheimer en Adultos Jóvenes obtuvieron una presencia irregular a lo largo del tiempo. Desde 1999 hasta el año 2008, prácticamente no se registraron artículos, en cambio que a partir del año 2009 comenzó a evidenciarse un ligero aumento con picos en 2011, 2012 y 2014. Por consiguiente, el año 2020 representó un punto de mayor producción con tres artículos, lo que permitió un renovado interés en el tema. En cambio, en los años más recientes, entre el 2023 y 2026, se mantuvo una tendencia de publicaciones aisladas, de manera que reflejaba que la investigación en este campo, avanzó de manera discontinua, con momentos de auge y otros de escaza producción.

MontySimTools is a modular teaching toolset for an interactive and automatic simulation of the Monty Hall Problem. The latter is a well-known example of a counterintuitive problem in probability theory. Carrying out the simulation generates data that can be presented and discussed in class to illustrate statistical concepts. MontySimTools includes three modules: Simulation, Transfer, and Presentation. MontySimTools – Simulation (decentralized files for participants/students): There are two main simulation modes: interactive and automatic. In the interactive mode, students are organized into pairs. Within each pair, one student assumes the role of the host, while the other takes on the role of the contestant. The game process and the associated simulation in this mode are deliberately not fully automated; rather, the students in the role of hosts and contestants should carry out essential steps themselves, interact with each other, and thus become an active part of the simulation process. The interactive simulation mode is available in three game variants. The settings allow for different assumptions regarding, among other things, the random or conscious nature of decisions. This allows a range of different game situations to be mapped - from a purely random game (based solely on Excel’s random number generator) on the one hand to a purely conscious game (based on possibly tactical decisions and expectations of the participants) on the other. The fully automatic simulation comes in two simulation variants and enables different speed and display options. Both the interactive and automatic simulation modes can be carried out in online and face-to-face teaching. The online variant can be conducted using any video conferencing software that enables group rooms. MontySimTools – Transfer ("invisible" transfer file in the background): The participants can send their results from the interactive simulation mode to the transfer module. This is an Access database, where all results are collected. MontySimTools – Presentation (instructor's file): This module is used to import the results from the transfer module and to analyze and present them. Software basis: * MontySimTools – Simulation: Microsoft Excel file with macros (VBA) * MontySimTools – Transfer: Microsoft Access database * MontySimTools – Presentation: Microsoft Excel file with macros (VBA) Current versions: MontySimTools 1.0 * MontySimTools – Simulation 6.0 * MontySimTools – Transfer 1.0 * MontySimTools – Presentation 4.0 Windows and Mac: MontySimTools is optimized for use with Windows. However, the simulation and presentation modules can also be used on a Mac. The transfer module is for use with Windows only. As an alternative, the results can be transferred via an LMS (e.g., Moodle). How to use: See the below section "Steps to reproduce". Declaration on the use of AI: See the declarations in the simulation and presentation modules.

The dataset used in this study consists of 9,378 chemical compounds represented through molecular descriptor profiles and biological activity measurements. Initially, the dataset contained 123 features, including compound identifiers, SMILES representations, physicochemical descriptors, topological indices, and MQN-based molecular characteristics. The target variable was identified as ic50_effect_size, which represents the biological activity level of each compound and serves as the prediction objective in the machine learning framework. The dataset includes chemically diverse flavonoid compounds and their derivatives, such as kaempferol, apigenin, and quercetin, providing structural variability suitable for predictive modeling and quantitative structure–activity relationship (QSAR) analysis. Molecular descriptors were generated from SMILES (Simplified Molecular Input Line Entry System) representations, which encode the structural composition of chemical molecules in a machine-readable format. These descriptors capture multiple physicochemical and structural properties, including molecular weight, lipophilicity, hydrogen bonding capacity, ring structures, surface area descriptors, and topological characteristics.

1.generateTPMSPorosity.m Purpose: Generates 3D cylindrical TPMS (Triply Periodic Minimal Surface) scaffold models with user-controlled overall porosity. Inputs include TPMS type (e.g., Gyroid, Diamond), target porosity, cylinder dimensions, number of periods, and grid resolution. Outputs are 3D voxel/isocontour data or exportable STL/PLY meshes suitable for finite-element analysis or additive-manufacturing slicing. Features: fully parameterized, reproducible, supports multiple resolutions and export formats. 2.generateHybridTPMS_DualControl.m Purpose: Generates partitioned TPMS cylindrical scaffolds with independently controlled porosities for the central region and outer region. Inputs include TPMS type, central and outer target porosities, partition radius/thickness, overall geometry, number of periods, and grid resolution. Outputs are partitioned 3D voxel/isocontour data or exportable mesh files. Features: supports spatial porosity gradients for local mechanical tuning and multiscale optimization.

G protein-coupled receptors (GPCRs) mediate a variety of signaling pathways and are among the most common pharmacological targets. While advances in structural biochemistry have provided deep functional insights into dozens of key receptors, many of the 800+ human GPCRs remain understudied. In the following, we introduce a versatile “deep receptor scanning” platform that can be used to experimentally characterize 767 human GPCRs and 174 known GPCR splice variants in parallel. We quantitatively characterize the relative abundance of receptor transcripts, their translational efficiency, and the plasma membrane expression of each receptor in the context of a recombinant pool of HEK293T cells expressing individual GPCRs. We then employ machine learning to identify specific structural features that modulate GPCR expression. This experimental platform and informatic approach are compatible with a variety of assays and can be used to efficiently explore the biochemical and pharmacological properties of the GPCRome.

The Economic Complexity indicators (ECI and PCI) developed by the Atlas of Economic Complexity. International trade data from UN Comtrade. macroeconomic control variables from the World Development Indicators and institutional databases — including GDP per capita, human capital, institutional quality, infrastructure, and trade openness. Trade network adjacency matrices from the bilateral trade data.

This dataset is associated with the paper “Product-Specific Human Appropriation of Net Primary Production (HANPP) in US Counties” (Paudel et al, 2023). This dataset comprises Human Appropriation of Net Primary Productivity (HANPP) values for 3101 counties in the conterminous US for the years 1997, 2002, 2007, and 2012. For this dataset, HANPP is the carbon content of specific crop, timber, and livestock grazing products appropriated by humans in a county in a year.

In this study, we tried to document the behavioural response of a polar marine predator to a glacier calving event in Antarctica. We focused on Weddell seals’ (Leptonychotes weddellii) response to the calving of the Mertz Glacier Tongue in 2010, by: i) providing a detailed description of fine-scale changes in the sea-ice landscape following the calving event; ii) examining how these changes influenced the movement and diving behaviour of Weddell seals. Two types of data are available in this dataset: i) Conductivity Temperature Depth Satellite Relayed Data Loggers (CTD-SRDLs) were deployed on female Weddell seals in Terre Adélie (East Antarctica) at Dumont d'Urville Station (−66.66◦, 140.00◦) between 2006 and 2024, to study animals’ distribution and dives. The tags transmit information on their behaviour and location using the Argos satellite system. The data presented here includes the raw data transmitted by the tag, and the filtered data for analysis. ii) Antarctic landfast ice data were obtained from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) satellite visible and thermal infrared imagery with a spatial resolution of 1 km and a fifteen-day time stamp. Prior to March 2018, landfast ice data were taken from the dataset of Fraser et al. (2020, Earth Syst. Sci. Data, doi: 10.5194/essd-12-2987-2020). After March 2018, landfast ice maps were produced ad hoc for the Dumont d'Urville region using individual cloud-free MODIS visible and thermal infrared imagery. Following the calving of the Mertz Glacier Tongue in February 2010, seals spent more time in Commonwealth Bay, consistent with earlier formation of landfast ice and its persistence post-calving (February 2019–2024). Landfast ice persisted in Commonwealth Bay from May onwards, although it was absent before the calving event (2006-2009). In Commonwealth Bay and west of Pointe Géologie Archipelago, seals also dived deeper after calving than before, suggesting changes in foraging strategies. Further details on the data are presented in the Metadata file.