cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24565372.v3
title: Feasibility demonstration of using the signal-to-noise ratio observations from geodetic GNSS receivers to retrieve dry snow density

description: The geodetic Global Navigation Satellite System (GNSS) receiver has been proven to retrieve snow depth using the phase change rate of the signal-to-noise ratio (SNR) observations. Snow density can be related to the permittivity of snow and is theoretically sensitive to the amplitude of the GNSS reflected signal. However, retrieving snow density using the SNR observations is challenging due to the difficulty in extracting the reflected amplitude since it hides in the interference waveform and changes with the satellite elevation angle. Overcoming this issue by taking an indirect path, this study proposes a novel GNSS Signal Amplitude Ratio Model (GSARM) that relates the corrected amplitude ratio (<i>α</i>) to the snow permittivity and the resulting snow density. First, the model extracts the instantaneous amplitude from SNR observations to derive an initial amplitude ratio (<i>α</i><sub>0</sub>). Then, it uses a step-wise strategy to correct systematic errors from antenna gain and random errors from soil moisture in <i>α</i><sub>0</sub> to achieve the finalized corrected <i>α</i>. The GSARM-derived dry snow density is compared with three other data sources, i.e., the PBO-H<sub>2</sub>O, the ERA5-Land, and the in-situ measurements over two GNSS sites for six consecutive years. The overall mean RMSD (RMSPD) values of snow density for GSARM compared to PBO-H2O, ERA5-Land, and in-situ measurements are 0.036 g/cm³ (22.08%), 0.040 g/cm³ (21.43%), and 0.032 g/cm³ (23.05%), respectively. The corresponding MAD (MAPD) values are 0.029 g/cm³ (21.90%), 0.035 g/cm³ (18.46%), and 0.025 g/cm³ (22.87%), respectively. The findings of this study first prove the feasibility of using geodetic GNSS receivers for snow density retrieval. It also provides supportive information for extending the added-value applications of traditional geodetic GNSS sites and for developing new observation patterns.
DOI: 10.17632/xd5nt6t5v4
title: geochronological and geochemical data for middle Permian to Middle Triassic igneous rocks in the central Jilin area

description: Table S1: Zircon U-Pb dating results for middle Permian to Middle Triassic igneous rocks in the central Jilin area Table S2: Major (wt%) and trace elements (ppm) data for middle Permian to Middle Triassic igneous rocks in central Jilin area Table S3: Lu–Hf isotopic data for middle Permian to Middle Triassic igneous rocks in the central Jilin area
DOI: 10.6084/m9.figshare.28270184.v1
title: Figure 3 - EIS quantification of PA14 and LESB58 biofilms over 4 hours

description: Figure 3: EIS quantification of P. aeruginosa biofilms over four hours. PA14 and LESB58 biofilms and LB media control quantified using EIS (10 Hz) over four hours. Impedance normalised by dividing each data set by their t=0 value. Error bars show standard deviation, n=3, * denotes significant difference (p &lt; 0.05).
DOI: 10.6084/m9.figshare.19991261.v1
title: Pyramids

description: Examples
DOI: 10.15468/dl.s22caz
title: Occurrence Download

description: A dataset containing 6851 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Opisthograptis luteolata (Linnaeus, 1758)"
 ]
}

 The dataset includes 6851 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009291-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/2p6mf2fn2f
title: Long-term Comparison of Maxillary Protraction with Hybrid Hyrax-Facemask vs Hybrid Hyrax-Mentoplate Protocols Using Alt-RAMEC: A 5-Year Randomized Controlled Trial

description: Background:
The study aimed to compare the short- and long-term effectiveness of hybrid Hyrax (HH) -Facemask (FM) and HH-mentoplate (MP) treatment protocols for maxillary protraction using Alt-RAMEC. 
Methods:
A single-center 2-arm parallel randomized controlled trial. 
Participants: 28 skeletal class III patients (female: 14, male: 14; average age: 9.7 ± 1.3 years;) were included
Interventions: Two treatment groups where protraction therapy was combined with Alt-RAMEC. Group 1: Facemask group (Hybrid Hyrax + Facemask) and Group 2: Mentoplate group (Hybrid Hyrax + Mentoplate).
Objective:
To compare skeletal and dental changes between groups using low dose computed tomography (CT) scan from which virtual lateral cephalograms were generated.
Outcome:
Outcomes include changes in Wits appraisal (primary outcome), and cephalometric analysis of skeletal and dental changes (secondary outcomes) at 1 year and 5 years after treatment initiation. 
Randomization: 28 patients were allocated to either treatment-protocols using sequentially numbered opaque, sealed envelopes. The randomization sequence was generated with a 1:1 allocation ratio. 
Blinding: Due to the nature of the trial, the operator and children could not be blinded to the treatment allocation. However, blinding was used when assessing the outcomes.
Results:
Follow-up: one patient was lost at the one-year follow-up and an additional three patients were lost at the 5-year follow-up.
Outcomes: Both treatment protocols effectively improved intermaxillary relationship. Wits measurements showed improvements of 4.42 mm (FM) and 2.86 mm (MP) at T1, decreasing slightly to 3.33 mm (FM) and 1.50 mm (MP) at T2. While vertical control and incisor inclination were comparable between groups long-term, short-term differences were noted in upper and lower incisor inclination. Results remained equally stable after five years (T2). 
Harms: minor harms were encountered with the anchor hooks (fracture or mucosal irritation), however none led to treatment cessation 
Conclusions:
Early class III treatment with HH + MP provided similar outcomes and stability to that of HH + FM suggesting that the choice between FM and MP should be based on individual patient factors rather than presumed mechanical advantages.
DOI: 10.17632/kn5f76dzwd
title: Ferns of Mashpi

description: This data summarizes the data of a first survey of terrestrial ferns at Mashpi Biodiversity Reserve, an Ecuadorian Chocó forest relict, one of the most biodiverse areas in the world.  We include tree tables, the first one includes the species with the vouchers, the second one includes a species with the abundance of each species per plot. The third one contains measurements of the leaf length and leaf thickness of several leaf samples of 28 species.

It is also included another file with an R script to calculate the abundance of each species per plot, the total abundance per plot,  the species richness per plot and diversity index per plot.
DOI: 10.17632/r96vch87fj
title: Do humans over-imitate robots?

description: Imitation plays a significant role in cultural knowledge transmission and in learning. The tendency to imitate causally irrelevant actions is termed over-imitation. Over-imitation is considered a social phenomenon unique to humans and has been investigated mainly in preschool-aged children. However, it is currently unknown whether children over-imitate if the model is not human. Here, we present a data set of the investigation if over-imitation occurs with a robot model. We tested whether 5-to-6-year-old children (boys = 1, girls = 0) over-imitate a humanoid robot in a similar manner as a human model (over-imitation: oi.score = 1, no over-imitation: oi.score = 0). Preschoolers were randomly assigned to watch either a human (condition = 1) or a robot (condition = 2) retrieve a reward out of a puzzle box, using functional and nonfunctional actions. Children saw three demonstrations in three phases and could extract a token themselves after each demonstration. In there first phase they observed an inefficient demonstration (including irrelevant actions), in the second phase the observed a efficient demonstration (only relevant action), and in the third phase they observed once more an inefficient demonstration. We compared the experimental condition also to a baseline condition in which children did not see any prior demonstration (condition = 0). In Version 2 of the dataset we collected a new and bigger sample for the baseline. Children tended to copy whichever strategy was shown to them — an inefficient or efficient one, regardless of who the model was. Thus, children were as likely to imitate the robot as the human. They even imitated the inefficient strategy after having successfully used the most efficient one. Results indicate that children perceive humanoid robots not only as informants but also as social behavioral models.
DOI: 10.6084/m9.figshare.19919221.v1
title: SNP.dataset_RILs BAT477 and NY6020-4 RIL common bean

description: SNP dataset in the RILs derived from BAT477 and NY6020-4 RIL common bean
DOI: 10.17633/rd.brunel.28471826.v1
title: Facilitating recycling of 6xxx series aluminum alloys by machine-learning based optimization

description: In our research, we focus on reducing the number of grades in the 6xxx series of aluminum alloys. A higher number of alloy grades poses challenges in recycling and increases the complexity of the solution space. To address this, we designed a machine learning framework aimed at optimizing the number of grades within the 6xxx series.We first collected data on the chemical composition, mechanical properties, service characteristics, and technological properties of various 6xxx series aluminum alloys under different tempering conditions (T5, T6, and T7). We then applied Principal Component Analysis (PCA) and k-means clustering to reduce the dataset into a few clusters and sub-clusters, each containing alloys with similar property ranges.Next, we employed an optimization algorithm to select the optimal alloys within each sub-cluster that effectively represent the range of properties found in that sub-cluster. Additionally, we analyzed the metallurgical reasoning behind the clustering to ensure practical feasibility.This approach not only demonstrates the potential of machine learning in alloy selection but also provides a strategic direction for improving aluminum recycling practices.
DOI: 10.17632/st2xscfb4r
title: Immune Imprinting and Antibody Profiles to SARS-CoV-2 in Urban and Rural Ghana

description: Infections with SARS-CoV-2 and the development of immunity to the virus and its antigenic variants have been unevenly documented globally, with African populations particularly understudied. As SARS-CoV-2 transitions towards being an endemic pathogen, more nuanced understanding of immune protection in diverse populations is required. In 2023, we conducted a cross-sectional study of 1,000 Ghanaian residents to assess SARS-CoV-2 prevalence and antibody correlates of immunity against SARS-CoV-2 variants. We found an active SARS-CoV-2 infection rate of 1.3% and a 57% vaccination rate. We observed anti-SARS-CoV-2 Spike plasma antibody sero-positivity of 98.7%, with urban compared to rural residents having higher anti-SARS-CoV-2 plasma and saliva antibody concentrations. Vaccinated and urban individuals exhibited significantly greater Spike-pseudotyped virus neutralization than nonvaccinated and rural individuals. Notably, plasma antibodies preferentially bound Wuhan-Hu-1 SARS-CoV-2 over Omicron Spike variants. Our findings indicate significant prior and ongoing SARS-CoV-2 transmission as well as immunological imprinting by Wuhan-Hu-1-like SARS-CoV-2 in Ghana. 

Antigen and antibody data in this study were generated using electrochemiluminescence (ECL)-based Meso Scale Discovery (MSD) assays. This Mendeley dataset includes MSD Arbitrary Units derived from ECL data. Additionally, the dataset contains Spike-pseudotyped virus neutralization percentages and deidentified demographic information for the study participants, including town of residence, sex, and COVID-19 vaccination status. Age information has been excluded to maintain participant privacy.
DOI: 10.17632/zm89n3bkk8
title: Data for: The zirconium stable isotope compositions of 22 geological reference materials, 4 zircons and 3 standard solutions.

description: Supplementary Tables 1, 2, 3, 4
DOI: 10.17632/5z3v8mgyzd
title: Artificial Intelligence for Chronic Kidney Disease Early Detection and Prognosis

description: Abstract: The integration of Artificial Intelligence (AI) in the early detection and prognosis of Chronic Kidney Disease (CKD) is revolutionizing nephrology by providing enhanced diagnostic accuracy and improved patient outcomes. This research explores the transformative role of AI, particularly machine learning (ML) and deep learning (DL), in predicting CKD progression and facilitating timely interventions. AI-driven models analyze diverse patient data, including imaging, laboratory results, and genetic information, to identify subtle patterns often overlooked by traditional methods. These technologies allow for earlier identification of kidney dysfunction, potentially slowing disease progression and increasing life expectancy. The study highlights the importance of using ensemble learning techniques and feature selection methods to refine AI models, improving their predictive capabilities. Furthermore, the research emphasizes the potential of AI to support clinical decision-making by offering objective, data-driven risk assessments, which are crucial in the personalized management of CKD. The use of convolutional neural networks (CNNs) in renal imaging has shown promise in detecting early-stage kidney damage, while support vector machines (SVM) and artificial neural networks (ANN) have demonstrated high accuracy in diagnosing CKD. The growing integration of AI into healthcare workflows is expected to reduce diagnostic delays, enhance prognostic evaluations, and optimize treatment strategies. This study also discusses the interdisciplinary collaboration between medicine, computer science, and engineering, which is essential for advancing AI applications in CKD. With the increasing availability of high-quality data and computational tools, AI is poised to play a central role in transforming CKD management, offering a proactive approach to care that can lead to better patient outcomes and healthcare resource efficiency.
Keyword: Artificial Intelligence (AI), Chronic Kidney Disease (CKD), Early Detection, Prognosis, Machine Learning, Diagnosis
DOI: 10.6084/m9.figshare.16531392.v1
title: Balance Nutrition Diet Raw Data.

description: The data set of knowledge on nutrition among primary school children
DOI: 10.17632/9bvr9jm58d
title: Data for: Identifying decarbonisation opportunities using marginal abatement cost curves and energy system scenario ensembles

description: Irish TIMES input assumptions including technology capital costs and bioenergy potentials. Model outputs for scenario ensembles used to derive MACCs.
DOI: 10.17632/fxkvmwn39m
title: Live-cell Förster resonance energy transfer imaging to reveal the bistable insulin response of C2C12-derived myotubes

description: To ensure safe and rapid glycemic control, muscle insulin response must exhibit bistability. We utilized single-cell Förster resonance energy transfer (FRET) imaging to quantify the bistable insulin response of C2C12-derived myotube
DOI: 10.17632/wgfhn52ntx
title: Wheat data -nitrogen and sulfur management - for discussion of the MGIDI index

description: This dataset contains the phenotypic means for the experiment described in "Olivoto, T., Carvalho, I. R., Nardino, M., Ferrari, M., Pelegrin, A. J. de, Follmann, D. N., … Souza, V. Q. de. (2016). Sulfur and nitrogen effects on industrial quality and grain yield of wheat. Revista de Ciências Agroveterinárias, 15(1), 24–33. DOI:10.5965/223811711512016024". The experiment tested nitrogen splitting (DR, double ring; T, tillering; and B, booting stage) and sulfur application (with and without sulfur) on agronomic and rheological characteristics with the following columns TRAT: the treatment column. P: Tenacity (mm) L: Extensibility (mm) PL: P/L ratio TIL: number of tillers SSM: spikes per square meter GY: Grain yield (kg/ha) HW: Hectoliter weight W: Gluten strength [W (x10-4 J] GLU: Gluten content (%) PROT: Protein content (%)
DOI: 10.17632/7ps2dvpmjh
title: Functional MRI data of actively discriminating pigeons

description: Until now, only fMRI studies with humans and non-human primates employed paradigms in which subjects had to actively respond to a stimulus. This extreme restriction on the side of model species implies that fMRI-based insights on most perceptual and cognitive tasks essentially stem from two closely related species of which macaques are difficult and expensive to house as well as laborious to train. The most important scientific problem of this restriction is, however, the difficulty to transfer results to most other vertebrates, especially very distantly related ones like birds. We established an fMRI paradigm in which awake pigeons discriminated in a Go/NoGo paradigm to upcoming stimuli with a beak movement to signal their acceptance or rejection of the stimulus. This dataset contains fMRI and anatomical scans during color discrimination experiment and fMRI time-series for HRF estimation. During color discrimination, pigeons were involved in a Go/NoGo paradigm. The dataset can be used to assess the activated brain networks during color discrimination. It also allows for the investigation of inhibitory networks.
More details can be found in the related publication: Behroozi M., Helluy X., Ströckens F., Meng G., Pusch R., Tabrik S., Tegenthoff M., Otto T., Axmacher N., Kumsta R., Moser D., Genc E., and Güntürkün O. Event-Related functional MRI in awake behaving pigeons.(2020)
DOI: 10.17632/cbjxbhzn43
title: DataSet for the paper: "An Intelligent Transportation System to Control Air Pollution and Road Traffic in Cities Integrating CEP and Colored Petri nets"

description: These files should be considered as additional material for the paper "An Intelligent Transportation System to Control Air Pollution and Road Traffic in Cities Integrating CEP and Colored Petri nets". Its aim is to show how to reproduce the observed data by using the developed Color Petri Nets.
DOI: 10.6084/m9.figshare.1543392.v1
title: Histochemical Studies of Curcuma neilgherrensis-An Antidiabetic Herb

description: Study is helpful to check the drug adultration and could be used as a tool in chemotaxonomy.
DOI: 10.6084/m9.figshare.5125087.v13
title: Raw data files associated with the manuscript 'Inferring the effects of sink strength on plant carbon balance from experimental measurements' by Mahmud et al. (2018)

description: This folder consists of existing dataset from the container volume experiment which was carried out at the Hawkesbury Forest Experiment site (33°37'S 150°44'E) in Richmond, NSW, Australia. The site and experimental setup have been explained in detail by Campany et al. (2017). This dataset is compiled from another data source of Campany C. (2017) which can be found in this link: http://doi.org/10.4225/35/58b4eaa87c64d.<br>In brief, 20 weeks old Eucalyptus tereticornis seedlings in tube stock were chosen from a single local Cumberland plain cohort. Ten additional seedlings of similar age and growth were harvested to measure initial leaf area and dry mass of leaves, stems and roots. A total of 49 Eucalyptus tereticornis seedlings were grown in a range of container sizes (5 L to 35 L) in field conditions, using freely-rooted seedlings as a control for the container size treatments, with the goal to examine how the C balance of the plants are affected to belowground sink limitations. Six container sizes were used with each container experiment had a complete replicate set of six container volumes along with a free seedling. Similar notations are used here as Campany et al. (2017) for the treatments in different pots as 5 L, 10 L, 15 L, 20 L, 25 L and 35 L in respect of their pot sizes. The experiment tracked leaf-level gas exchange, leaf carbohydrate accumulation and seedling allometry over the course of 4 months for all 7 treatments. p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 9.5px Helvetica; color: #023aeb} span.s1 {color: #000000}
DOI: 10.17632/xn5gzz2m87
title: Prevalence of risk factors for cardiovascular disease among pregnant women in San Juan, Puerto Rico

description: Background:  In Puerto Rico (PR), the prevalence of risk factors for cardiovascular disease (CVDRF) in women is high. CVDRF during pregnancy are a threat to maternal and child health. Little is known about CVDRF among pregnant women in PR.
Methods: Cross-sectional study using data from pregnancy charts (n=264; no prior pregnancies) from an outpatient clinic in PR. CVDRF included: pre-pregnancy obesity, type 2 diabetes (T2D), and hypertension, and gestational diabetes and hypertension. Age was categorized as: 21-25y, 26-30y, and 31-35y. Analyses included adjusted logistic and multinomial regressions.
Results: Obesity pre-pregnancy was the most prevalent CVDRF (23.5%). Women of 31-35y (vs. 21-25y) had higher odds of T2D/gestational diabetes (OR=4.66; 95% CI=1.18, 18.4) and were more likely to experience 2+ CVDRF (RRR=2.73; 95% CI=1.10, 6.80).
Discussion: Pregnant women in PR experienced CVDRF and these were more prevalent among women of older age. Studies are needed to confirm our findings and monitor the health of women at high risk of CVD during postpartum.
DOI: 10.17632/pdd8vp93hj
title: Water-Energy-Food Nexus: Multi-Actor Governance for Social Justice (Ecochamp agency))

description: The data was collected and formed part of a project called Water-Energy-Food Nexus: Multi-Actor Governance for Social Justice which is co-funded by the Dutch Research Council (NWO) in the Netherlands and the National Research Foundation (NRF) in South Africa. The objective of the project was to highlight how conditions of WEF nexus governance enhance social justice. This was achieved through a transdisciplinary approach to how a conceptual “WEF community” can be an agent of change through empowerment in WEF nexus governance by providing legal instruments that can be used and encouraging decision-making synergies from household to national levels. This was envisioned by deciphering how WEF resources and decision-making are produced, used, and distributed, their linkages, and the representation of marginal groups across scales. The opportunities and challenges of incorporating WEF community initiatives in South Africa’s legal framework were also evaluated by comparing them to the EU legislation to increase legal certainty and social justice

The data set referred herein concerns part of the project which collected quantitative data through a questionnaire of 325 households in South Africa. The households were purposively selected from Matatiele Local Municipality. This was a follow-up survey of an initial survey of 1184 households (https://data.mendeley.com/datasets/56zskrvfwf/1). The data focussed on the agency played by youth called "Ecochamps" in environmental sustainability programs
DOI: 10.15468/dl.rvtpt3
title: Occurrence Download

description: A dataset containing 2217387 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "Year is 1974"
 ]
}

 The dataset includes 2217387 records from 1744 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009285-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.