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Data in the manuscript by Feng-Xia Huang et al. to be published by Geochimica et Cosmochimica Acta as "Gold hyperenrichment in iron (oxyhydr)oxides via nanoparticle adsorption and coarsening".

We accessed the GeneCards database and identified 177 genes associated with ICD, with a score greater than 35. Data from TCGA , including transcriptome expression profiles, single nucleotide mutation data, clinical characteristic data, and survival information for patients diagnosed with pancreatic ductal adenocarcinoma (PAAD), were retrieved. Among the 185 samples, 181 were tumor tissues, and 4 were normal tissues. After excluding 3 samples lacking survival information, the remaining samples were randomly assigned to the training and testing sets. Based on the selected immunogenic cell death-related lncRNAs, we constructed a prognostic model for pancreatic cancer. Additionally, we verified the effect of LINC00705 on pancreatic cancer cells PANC-1 and MiaPaca-2 through in vitro cell experiments. The results showed that LINC00705 significantly enhanced the proliferation, migration, and invasion abilities of pancreatic cancer cells PANC-1 and MiaPaca-2, providing a novel biomarker for the prediction of pancreatic cancer prognosis.

Mice are of a size at which passive joint and muscle forces should be important in leg movements. To investigate this issue we measured, in anesthetized mice, hind leg passive movements in response to changes in animal orientation relative to gravity and to manual deflections of the leg. Changing gravity orientation did not rotate leg joints to their physiological extremes, indicating that passive responses limit joint rotation range. The manual leg deflections were sufficient to achieve joint angles overlapping those present in published descriptions of mouse locomotion. Upon release from these deflections, the legs returned to intermediate postures. These results show that passive responses are 1) present at locomotory joint angles and 2) sufficiently large, at these angles, to move the leg. Return amplitude depended linearly on deflection amplitude. The slope of this dependence was the same across leg joints, suggesting it is evolutionarily or developmentally selected for. Combining the extremes of our passive response data and published descriptions of joint angles during mouse locomotion (e.g., most flexed passive response mouse with most extended published locomotion pattern) allowed determining when in a locomotory cycle passive responses could be definitely extending or flexing. In three of these four combinations, only extending passive responses could be definitely present in the locomotory patterns. In the fourth, alternatively, both extending and flexing passive responses could be definitely present. Passive responses thus likely act during mouse hind leg locomotion, but their amplitude and even sign may vary across individual mice.

Motivational job demands (MJD)

Raw data supporting the findings of the manuscript "The Impact of COVID-19 on Wet Nitrogen Deposition: Insights from a Four-Year Study in the Danjiangkou Reservoir Region."

The manufacture, characterisation, use, and degradation of polyhydroxyalkanoate (PHA) are the main areas of research into this plastic substitute in light of plastic pollution. However, little is known about PHA's capacity to bioaccumulate in the food chain and serve as a vector for heavy metal contaminants. Thus, information was gathered from the experiments of pollutant sorption, pollutant bioaccumulation, and antioxidant-enzyme modulation of four microparticles in single and co-exposure to lead (Pb) and copper (Cu): poly(3-hydroxybutyrate) [P(3HB)], poly(3-hydroxybutyrate-co-4-hydroxybutyrate) [P(3HB-co-4HB)], polylactic acid (PLA), and polyethylene (PE).

This file provides the Ba isotope compositions of hydrothermal barites from two hydrothermal fields in the Okinawa Trough.

Supplemental table summarizing the clinicohistopathologic data of all known pediatric primary cutaneous CD4+ small/medium T-cell lymphoproliferative disorder (PCSM-TCLPD) cases to date.

Here is presented the data used for the paper titled "Assessment of Head Dynamics using a Flexible Self-Powered Sensor and Machine Learning, capable of predicting probability of Brain Injury". Authors: Gerardo L. Morales-Torres*, Ian González-Afanador, Luis A. Colón-Santiago, Nelson Sepúlveda. Department of Electrical and Computer Engineering, Michigan State University, East Lansing, 48824, Michigan, United States https://doi.org/10.1016/j.nwnano.2025.100076 Abstract This work presents the application of a flexible, self-powered sensor designed to predict angular velocity and acceleration during head kinematics associated with concussions. This paper-thin, flexible device, which exhibits piezoelectric-like properties, is strategically placed on the back of a human head substitute to capture stress and strain in this region during whiplash events. The mechanical energy generated by varying magnitudes of whiplash is converted into electrical pulses, which are then integrated with multiple machine learning models. These models were tested and compared, demonstrating their ability to accurately predict angular velocity and acceleration of the head. This predictive capability can be utilized to assess the probability of brain injury. The findings demonstrate that this system not only enhances the understanding of head impact dynamics, but also opens avenues for developing more effective injury risk assessment tools. By combining innovative sensor technology with advanced machine learning techniques, this study contributes to improved safety monitoring in high-risk environments, such as high-contact and automotive sports. The videos show the dummy head drop for three different heights with the FENG voltage, derivative and the angular velocity of the head. The FENG csv files contain the data of the ferro-electret nano-generator voltage. The HEAD csv files contain the data of the angular velocity captured by sensors inside the dummy head. The python code is also presented , where all the processing and training was done.

The files in this data repository contain the source data described in the following study: Title: Age and latent cytomegalovirus infection do not affect the magnitude of de novo SARS-CoV-2-specific CD8+ T cell responses authors:Jet van den Dijssel, Veronique AL Konijn, Mariël C Duurland, Rivka de Jongh, Lianne Koets, Barbera Veldhuisen, Hilde Raaphorst, Annelies W Turksma, Julian J Freen-van Heeren, Maurice Steenhuis, Theo Rispens, C Ellen van der Schoot, S Marieke van Ham, Rene AW van Lier, Klaas PJM van Gisbergen, Anja ten Brinke and Carolien E van de Sandt