cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/b735d2tfh7.1
title: Encoding the Glucose Identity by Discrete Hypothalamic Neurons via the Gut-Brain Axis

description: Animals need daily intakes of three macronutrients: sugar, protein and fat. Under fasted conditions, however, animals prioritize sugar as a primary source of energy. They must be able to detect the ingested sugar – D-glucose – and quickly report its presence to the brain, which then instructs the animal to continue feeding. Hypothalamic neurons that can respond to the caloric content in the gut regardless the identity of macronutrient have been identified, but until now, the existence of neurons that can encode the specific macronutrients remained unknown. We found that a subset of corticotropin-releasing factor (CRF)-expressing neurons in the paraventricular nucleus (PVN) of hypothalamus (CRFPVN) respond specifically to D-glucose in the gut, separately from other macronutrients or sugars. CRFPVN neuronal activity is essential for fasted mice to develop a preference for D-glucose. The behavioral, physiological responses of CRFPVN neurons to intestinal D-glucose require a specific spinal gut-brain pathway and a subset of the dorsal lateral parabrachial nuclei. These findings reveal the key neural substrates and circuit that encode the identity of D-glucose.
DOI: 10.17632/pp77m68kwh.1
title: Reference value of 360 degree turn test in children with different body composition

description: : The dynamics of body posture to avoid falling are generally referred to as balance. It has been shown that child developmental skills are influenced by their body compositions. Therefore, the purpose of the current study is to find the reference values of 360 degree Turn Test in normal weight, overweight and obese children and compare the values between them. School going Children aged between 6 to 17 years were selected according to their BMI. The time taken by the children in performing 360 degree turn test was recorded. Normative reference values were established for normal weight and overweight school going children, with p-value &lt; 0.001. The average score for normal weight was 7.20 seconds and 9.10 seconds for overweight children. Additionally, the overall normative TUG values for male and female children were determined to be 8.5 seconds and 8.46 seconds, respectively. Further stratification by gender and weight status revealed specific reference values: 7.28 seconds for normal weight males, 9 seconds for overweight males, 7.13 seconds for normal weight females, and 9.10 seconds for overweight females, all demonstrating significant differences (p-values &lt; 0.001). This study establishes normative 360 degree Turn Test values for school-going children aged 6-17 years, distinguishing between normal weight and overweight individuals, providing crucial benchmarks for clinicians in tailoring rehabilitation programs and identifying mobility and balance deficits.
DOI: 10.17632/xhx3gzpj6n.1
title: AFiD-Darcy: A finite difference solver for numerical simulations of convective porous media flows

description: We present an efficient solver for massively-parallel simulations of convective, wall-bounded and incompressible porous media flows. The algorithm consists of a second-order finite-difference pressure-correction scheme, allowing the use of an efficient FFT-based solver in problems with different boundary conditions. The parallelization method is implemented in a two-dimensional pencil-like domain decomposition, which enables efficient parallel large-scale simulations. The original version of the code presented by van der Poel et al. (2015) [35] has been modified to solve the Darcy equation for the momentum transport, representative of porous media flows driven by buoyancy. Two schemes are implemented to treat the diffusive term of the advection-diffusion equation, namely a fully implicit and semi-implicit formulation. Despite exhibiting a higher computational cost per time step, the fully implicit scheme allows an efficient simulation of transient flows, leading to a smaller time-to-solution compared to the semi-implicit scheme. The implementation was verified against different canonical flows, and the computational performance was examined. To show the code's capabilities, the maximal driving strength explored has been doubled as compared to state-of-art simulations, corresponding to an increase of the associated computational effort of about 8 to 16 times. Excellent strong scaling performance is demonstrated for both schemes developed and for domains with more than 10^10 spatial degrees of freedom.
DOI: 10.17632/32cvm9rc5y.1
title: The ARRIVE Essential 10 and The Recommended Set: Author Checklist

description: This ARRIVE 2.0 Checklist is designed to ensure transparent and comprehensive reporting of studies involving animals as research specimens. It provides a structured framework covering study design, methodology, ethical considerations, and data interpretation, enabling reproducibility and clarity in animal-based research.
The checklist accompanies a study investigating the effects of flunitrazepam (Rohypnol) on liver decomposition, using pigs (Sus Scrofa L.) as forensic models. The research hypothesizes that flunitrazepam delays enzymatic autolysis, impacting postmortem interval (PMI) estimation. The study involved two pigs—one control and one experimental (administered 2 mg flunitrazepam in 250 ml vodka)—with daily liver tissue sampling over 16 days. Samples were preserved in 10% neutral buffered formalin and analyzed using Hematoxylin and Eosin (H&E) and Masson's trichrome staining.
Findings show that flunitrazepam significantly slowed early liver decomposition, delaying autolysis and nuclear breakdown within the first six days. By day seven, decomposition rates in both groups aligned, with complete structural disintegration by day 16. These results emphasize the importance of considering drug effects when estimating PMI in forensic cases.
By standardizing study reporting, this checklist ensures that key methodological details—such as randomization, blinding, ethical approvals, and statistical methods—are clearly documented. It facilitates reproducibility, ethical compliance, and improved research quality in studies using animals as experimental subjects. Researchers, forensic scientists, and pathologists can use this checklist to enhance the validity, reliability, and application of animal-based findings in forensic and biomedical research.
DOI: 10.17632/9tr6kky4h6.1
title: Fe-Mn (Hydro)oxide Shuttling Controls Ni-Mo Enrichment in Early Cambrian Black Shales of South China: Ni-Mo Isotope Evidence and Paleoenvironment Implications

description: The dataset includes the geochemical data of the samples analyzed in this study, a review of Ni and Mo isotope fractionation between Fe-Mn (hydro)oxides and aqueous solutions, and a compilation of paired δ60Ni and δ98Mo data from previous studies.
DOI: 10.17632/9tr6kky4h6
title: Ni-Mo isotopes track marine metal cycling through Early Cambrian redox shifts: Metalliferous black shales as paleo-environmental archives

description: The dataset includes the geochemical data of the samples analyzed in this study, a review of Ni and Mo isotope fractionation between Fe-Mn (hydro)oxides and aqueous solutions, and a compilation of δ60Ni and δ98Mo data from previous studies.
DOI: 10.17632/9tr6kky4h6.2
title: Ni-Mo isotopes track marine metal cycling through Early Cambrian redox shifts: Metalliferous black shales as paleo-environmental archives

description: The dataset includes the geochemical data of the samples analyzed in this study, a review of Ni and Mo isotope fractionation between Fe-Mn (hydro)oxides and aqueous solutions, and a compilation of δ60Ni and δ98Mo data from previous studies.
DOI: 10.17632/5bj3vwc6rg.1
title: KARL - a Monte Carlo model for atomic and molecular processes in the tritium atmosphere of the KATRIN experiment

description: A new parallelized simulation code is presented, which uses a Monte Carlo method to determine particle spectra in the KATRIN source. Reaction chains are generated from the decay of tritium within the source. The code includes all relevant processes: elastic scattering, ionization, excitation (electric, vibrational, rotational), recombination and various clustering processes. The main emphasis of the code is the calculation of particle spectra and particle densities and currents at specific points within the source. It features a new technique to determine these quantities. It also calculates target fields for the interaction of particles with each other as it is needed for recombination processes.
The code has been designed for the KATRIN experiment but is easily adaptable for other tritium based experiments like Project 8. Geometry and background tritium gas flow can be given as user input.
The code is parallelized using MPI and writes output using HDF5. Input to the simulation is read from a JSON description.
DOI: 10.15468/dl.3z9htg
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ormosia pachycarpa Champ. ex Benth., Ormosia pachycarpa Champ.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 16 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024796-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/nfgtfk45t4.1
title: SDGMPS: A spin-dependent Glauber model program for elastic proton-nucleus scattering

description: SDGMPS is a Fortran program that calculates differential cross sections of elastic proton-nucleus scattering at intermediate energies based on the spin-dependent Glauber model. In the program, the Glauber model explicitly takes into account spin effects by using the spin-dependent nucleon-nucleon scattering amplitude, where the spin-orbit amplitude parameters are needed as input. It is particularly useful for analyses of the elastic proton scattering at both low and high momentum transfers and studies of the inner density distributions in nuclei. Such studies are an important part of the physics research program of the radiation beam facilities, such as the Heavy Ion Research Facility in Lanzhou (HIRFL).
DOI: 10.15468/dl.ed6ucm
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Ormosia hosiei Hemsl. & E.H.Wilson"
 ]
}

 The dataset includes 82 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024797-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15076309
title: A Dictionary for Quantitative Text Analysis of Health and Equity Content in Policy Documents

description: A text analysis dictionary developed for "Health in mobility planning: An assessment of how health is considered in Sustainable Urban Mobility Plans", Journal of Transport & Health, 39, Nov 2024.
DOI: 10.5281/zenodo.15076310
title: A Dictionary for Quantitative Text Analysis of Health and Equity Content in Policy Documents

description: A text analysis dictionary developed for "Health in mobility planning: An assessment of how health is considered in Sustainable Urban Mobility Plans", Journal of Transport & Health, 39, Nov 2024.
DOI: 10.17632/ybyhxv4czd.1
title: Dataset for surface roughness estimation during turning of Inconel-625

description: Machining data for a particularly difficult-to-machine material, namely Inconel-625 is presented. Inconel is widely used in aerospace applications and is difficult to machine as unlike other materials, Inconel does not get softer with increasing temperature. This data set comprises of 27 sets of Accelerometer data and Dynamometer data acquired during the machining of Inconel -625 on a Kirloskar Turnmaster 40 Lathe. A Mitutoyo Surface Roughness Tester was used to measure the surface roughness after each turning operation.
DOI: 10.17632/8v8twdx7zr.1
title: Mechanical properties and microstructural evolution of carbonaceous mudstone under seepage conditions

description: The mechanical properties and microstructural evolution of carbonaceous mudstone under seepage were investigated through triaxial shear and CT scanning tests. Microstructural parameters were extracted using Avizo 3D, and grayscale correlation analysis was performed to quantify their influence on shear strength. The results show that the shear strength increases and then decreases with increasing rock content, reaching a maximum of 60% rock content before seepage and 40% after seepage. The internal cohesion of carbonaceous mudstone specimens after seepage was reduced to different degrees, with a maximum reduction of 28.7% for the specimen with 60% rock content. The loss of fine grains inside the specimen occurs continuously as the seepage process proceeds, especially in the contact areas between coarse and fine grains. The increase in 3D porosity of the five groups of carbonaceous mudstone specimens with different rock content was 4.10%, 2.46%, 1.63%, 9.36%, and 13.36%, respectively. According to the evolution mechanism of seepage erosion, microstructural evolution significantly affects the deterioration process of mechanical properties. Grayscale correlation analysis revealed that the correlation between microstructural characteristic parameters and shear strength parameters (i.e., cohesion, internal friction angle) was above 0.65.
DOI: 10.17632/n2bp3ppr77.1
title: Capturing functional trait response of dune plants using close-range remote sensing

description: Coastal dunes are dynamic ecosystems characterized by steep environmental gradients that impose significant stress on plant communities. These stressors, such as salinity, drought, and nutrient-poor soils, create a mosaic of plant adaptations and functional trait diversity. Traditional ecological studies have focused on plant traits to understand species' responses to environmental conditions, but a gap remains in connecting plant functional traits to large-scale ecological processes through remote sensing. By focusing on the key species Cakile maritima and a broader dune plant community, we explored how vegetation indices correlate with specific physiological and morphological traits, including specific leaf area (SLA), leaf dry matter content (LDMC), and flavonoid concentration.
This study presents a novel approach using close-range multispectral imaging to capture high-resolution (1.3 mm/px) data on plant functional traits in coastal dune ecosystems overcoming the limitations of broader-scale remote sensing methods which often suffer from lower spatial resolution and interference from non-vegetated areas. By manually selecting regions of interest (ROIs) for each species and filtering out background noise, we obtained precise multispectral signatures that accurately reflect the functional traits of individual plants and the entire community. Moreover, flavonoids explained a high percentage of the total variance of the multispectral indices.
The study demonstrates the effectiveness of close-range multispectral imaging in linking plant traits to ecological processes, with significant implications for upscaling plant responses to environmental variable across larger spatial scales. Furthermore, the research outlines practical guidelines for collecting and processing close-range multispectral data, offering a valuable new tool for monitoring ecosystems.
DOI: 10.17632/n2bp3ppr77.2
title: Data from Capturing functional trait response of dune plants using close-range remote sensing

description: Coastal dunes are dynamic ecosystems characterized by steep environmental gradients that impose significant stress on plant communities. These stressors, such as salinity, drought, and nutrient-poor soils, create a mosaic of plant adaptations and functional trait diversity. Traditional ecological studies have focused on plant traits to understand species' responses to environmental conditions, but a gap remains in connecting plant functional traits to large-scale ecological processes through remote sensing. By focusing on the key species Cakile maritima and a broader dune plant community, we explored how vegetation indices correlate with specific physiological and morphological traits, including specific leaf area (SLA), leaf dry matter content (LDMC), and flavonoid concentration.
This study presents a novel approach using close-range multispectral imaging to capture high-resolution (1.3 mm/px) data on plant functional traits in coastal dune ecosystems overcoming the limitations of broader-scale remote sensing methods which often suffer from lower spatial resolution and interference from non-vegetated areas. By manually selecting regions of interest (ROIs) for each species and filtering out background noise, we obtained precise multispectral signatures that accurately reflect the functional traits of individual plants and the entire community. Moreover, flavonoids explained a high percentage of the total variance of the multispectral indices.
The study demonstrates the effectiveness of close-range multispectral imaging in linking plant traits to ecological processes, with significant implications for upscaling plant responses to environmental variable across larger spatial scales. Furthermore, the research outlines practical guidelines for collecting and processing close-range multispectral data, offering a valuable new tool for monitoring ecosystems.
DOI: 10.17632/n2bp3ppr77.3
title: Data from Capturing functional trait response of dune plants using close-range remote sensing

description: Coastal dunes are dynamic ecosystems characterized by steep environmental gradients that impose significant stress on plant communities. These stressors, such as salinity, drought, and nutrient-poor soils, create a mosaic of plant adaptations and functional trait diversity. Traditional ecological studies have focused on plant traits to understand species' responses to environmental conditions, but a gap remains in connecting plant functional traits to large-scale ecological processes through remote sensing. By focusing on the key species Cakile maritima and a broader dune plant community, we explored how vegetation indices correlate with specific physiological and morphological traits, including specific leaf area (SLA), leaf dry matter content (LDMC), and flavonoid concentration.
This study presents a novel approach using close-range multispectral imaging to capture high-resolution (1.3 mm/px) data on plant functional traits in coastal dune ecosystems overcoming the limitations of broader-scale remote sensing methods which often suffer from lower spatial resolution and interference from non-vegetated areas. By manually selecting regions of interest (ROIs) for each species and filtering out background noise, we obtained precise multispectral signatures that accurately reflect the functional traits of individual plants and the entire community. Moreover, flavonoids explained a high percentage of the total variance of the multispectral indices.
The study demonstrates the effectiveness of close-range multispectral imaging in linking plant traits to ecological processes, with significant implications for upscaling plant responses to environmental variable across larger spatial scales. Furthermore, the research outlines practical guidelines for collecting and processing close-range multispectral data, offering a valuable new tool for monitoring ecosystems.
DOI: 10.17632/37v2sbc8j4.1
title: Data sets on soil bacteria, enzyme activities, physical and chemical properties for different land use types and soil depths

description: The data contain three types of core indicators: 
(1) Soil physicochemical properties: including pH, bulk density (BD), soil organic carbon (SOC), total nitrogen (TN), total phosphorus (TP), quick-acting phosphorus (AP), and quick-acting potassium (AK) were measured by potentiometric, ferrocyclic, and oxidative potassium dichromate methods, respectively;
(2) Enzyme activity data: six enzymes related to C/N/P cycling (α-glucosidase AG, β-glucosidase BG, etc.) were measured using microplate fluorescence; (3) Microbial community data: 16S rRNA genes VG, β-glucosidase BG, etc., were measured by Illumina PE300 platform. glucosidase AG, β-glucosidase BG, etc.), which were detected using the microtiter plate fluorescence method; 
(3) Bacterial community data: bacterial community composition and diversity data (e.g., relative abundance of phyla such as Chloroflexi, Actinobacteriota, etc.) were obtained by sequencing the V4-V5 region of the 16S rRNA gene via the Illumina PE300 platform.
The data collected were systematically analyzed through the above methodology to achieve the following objectives: (i) to study the effects of land use and soil depth on bacterial community composition and enzyme activities; (ii) to elucidate the relationship between soil physicochemical properties and bacterial communities as well as enzyme activities; and (iii) to explore the functional roles of enzymes in nutrient cycling and to predict bacterial functional profiles.
Redundancy and beta diversity analyses revealed that while the dominant bacterial phyla (Chloroflexi, Actinobacteriota, Acidobacteriota, and Proteobacteria) were consistent across land-use types, their relative abundances varied significantly. Cultivated lands exhibited higher bacterial diversity and species richness, along with enhanced functionality in C and N cycling. However, long-term tillage led to a decline in soil organic carbon (SOC), nutrient levels, and associated enzyme activities. Soil physicochemical properties, particularly total nitrogen (TN), SOC, and available phosphorus (AP), were identified as key drivers of bacterial community composition.
DOI: 10.17632/r9vwpxnptb.1
title: Parenting data

description: parental traits, styles and depression
DOI: 10.17632/wws2cx74zw.1
title: TNF synergy with IL-17A & IL-17F stimulation of MSCs

description: The IL-17 pathway is implicated in axial SpA and targeted by multiple biologics in the clinic, we wanted to assess the downstream effects of IL-17A and IL-17F on entheseal stroma as these cytokines have been identified to drive inflammation and possibly new bone formation. Specifically we wanted to investigate the synergistic effect of IL-17A and IL-17F in combination with TNF.
Bulk-seq was performed on spinal MSCs isolated from human spinal entheseal bone and soft tissue, MSCs were stimulated with IL-17A, IL-17F and TNF alone and in combination to assess the synergistic effects of these cytokines on stromal function and activation.
DOI: 10.17632/2k35h6j6g3.1
title: Supplementary Tables for "The high oxygen fugacity of the Chang’e-5 lunar basalt: Implication for redox stratification of the lunar mantle"

description: This file is the Supplementary Tables for manuscript "The high oxygen fugacity of the Chang’e-5 lunar basalt: Implication for redox stratification of the lunar mantle". The file includes major element and trace element compositions of the lunar natural samples and fO2-controlled experiments, the experimentally determined partition coefficients and the crystallization modelling of the lunar magma ocean.