cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3526181.v1
title: Appendix B. Correlations between maximal height (Hmax), juvenile light demand (CEjuv), and 22 architectural traits of 54 moist-forest species.

description: Correlations between maximal height (Hmax), juvenile light demand (CEjuv), and 22 architectural traits of 54 moist-forest species.
DOI: 10.6084/m9.figshare.28855694.v1
title: 三种景天属植物比较质体基因组研究（附件）

description: 附表1：读长覆盖度及深度附表2：三种景天属物种整体区域及边界基因长度统计附表3：景天属物种不同个体散在重复序列分布情况附表4：不同长度及类型的简单重复序列（SSR）分布情况附表5：18个质体56种CDS的RSCU值统计情况附表6：<i>S.alfredii</i>和<i>S.plumbizincicola</i>的特异性密码子弃用模式附表7：种下水平密码子弃用模式的变异<br>
DOI: 10.6084/m9.figshare.5671486.v1
title: Effect of natural ageing on the properties of recycled polypropylene/ethylene vinyl acetate/wood flour composites

description: ABSTRACT Wood flour composites main applications are represented by outdoor furnishing. Therefore, it is important to evaluate their behavior under natural ageing conditions. This work aims to investigate the natural ageing impact on the mechanical, physical, thermal e morphological properties of recycled polypropylene/ethylene vinyl acetate/wood flour composites (PP/EVA/ITA). Samples were exposed to natural ageing for 12 months in Porto Alegre (BR). Mezilaurus itauba (ITA) wood flour was used at 30 % w/w. Results showed that PP filled wood flour retained a higher fraction of the original mechanical properties after natural ageing. Crystallinity degree for composites increased from 30.9 up to 37.5% Climatic conditions affected the colorimetric and morphological characteristics of composites, indicating that there was not only photo-degradation but also thermo-oxidative and hydrolytic degradation. In this way, the use of antioxidant additives and UV photo-absorbers is recommended to avoid stress-cracking, discoloration and loss the mechanical properties.
DOI: 10.6084/m9.figshare.16411524.v1
title: Grycz et al.,2021 Open Materials

description: Open materials for Grycz et al., 2021 publication
DOI: 10.6084/m9.figshare.24328807.v1
title: Missulena elpis n.sp. Actinopodidae de Chile medidas madrigueras y coordenadas

description: <i>Missulena elpis </i><b><i>sp. n.</i></b> is described for one of the hills in the city of Valparaíso, Chile. Additionally, data on the distribution of Chilean actinopodid species are provided, along with ecological background, an analysis of burrow construction, and the basis for their impact and habitat intervention, qualifying them for conservation status. Sampling was conducted through transects in two locations, Valparaíso (V Reg.) and Huachalalume (IV Reg.), with <i>in-situ</i> measurements of burrows. IUCN parameters were used to estimate the distribution area. Burrows of <i>Missulena elpis </i><b><i>sp. n.</i></b> lack a trapdoor at the entrance and can reach a depth of over 12 cm, in contrast to <i>Missulena tussulena</i>, which constructs a similar wafer-like trapdoor; both species tend to be found in gruped. On the other hand, <i>Plesiolena bonneti </i>and <i>P. jorgelina</i> construct burrows with a very thin and delicate trapdoor at the entrance, reaching a depth of 25 cm, and also tend to be gruped. Regarding the conservation of Actinopodidae species in Chile, all are subject to a degree of threat that implies the reduction and/or impact on their habitats, potentially leading to population decline, local extinctions, or the disappearance of species with more limited distributions.
DOI: 10.6084/m9.figshare.28418267.v2
title: <b>Uncovering Subtype-Specific Metabolic Signatures in Breast Cancer through Multimodal Integration, Attention-Based Deep Learning, and Self-Organizing Maps</b>

description: This study integrates multimodal metabolomic data from three platforms—LC-MS, GC-MS, and NMR—to systematically identify biomarkers distinguishing breast cancer subtypes. A feedforward attention-based deep learning model effectively selected 99 significant metabolites, outperforming traditional static methods in classification performance and biomarker consistency. By combining data from diverse platforms, the approach captured a comprehensive metabolic profile while maintaining biological relevance. Self-organizing map analysis revealed distinct metabolic signatures for each subtype, highlighting critical pathways. Group 1 (ER/PR-positive, HER2-negative) exhibited elevated serine, tyrosine, and 2-aminoadipic acid levels, indicating enhanced amino acid metabolism supporting nucleotide synthesis and redox balance. Group 3 (triple-negative breast cancer) displayed increased TCA cycle intermediates, such as α-ketoglutarate and malate, reflecting a metabolic shift toward energy production and biosynthesis to sustain aggressive proliferation. In Group 4 (HER2-enriched), elevated phosphatidylcholines and phosphatidylethanolamines suggested upregulated mono-unsaturated phospholipid biosynthesis. The study provides a framework for leveraging multimodal data integration, attention-based feature selection, and self-organizing map analysis to identify biologically meaningful biomarkers.
DOI: 10.6084/m9.figshare.28428890.v1
title: Supplementary Material for: A cohort study of the long-term influences of SARS-CoV-2 on kidney allograft outcomes in Chinese recipients: 1-year follow-up experience

description: Introduction: To investigate the long-term effects of the novel severe acute respiratory syndrome coronavirus (SARS-CoV-2) infection and novel coronavirus disease (COVID-19) on prognosis of kidney transplant recipients.
Methods: A 1-year retrospective study was carried out among 362 domestic kidney transplant recipients who were divided into observational (COVID-19) and control groups. Stratification analysis was then carried out to investigate whether repeated infections and infection severity could influence graft prognosis. Kaplan-Meier curves assessed 1-year graft survival, while one-way analysis of variance (ANOVA) compared graft function and laboratory parameters. Generalized estimating equations and repeated measures ANOVA confirmed the magnitude of the impact of COVID-19 on kidney grafts. Generalized logistic regression and Cox regression established a model for analyzing COVID-19 risk factors. Meta-analysis and subgroup analysis were performed for validation. 
Results: Exposure of COVID-19 had a significant effect on graft function within 1 year (P&lt;0.001), and this kind of effect was mostly brought by severer infections in the stratification analysis regarding graft survival rate (P&lt;0.001), estimated glomerular filtration rate (eGFR) level (P&lt;0.001), and 1-year eGFR slope (P=0.014). Diagnostic model showed tacrolimus patients less likely to get severe COVID-19 than cyclosporine (P=0.004). Hyperglycemia (P=0.004) and low hemoglobin (P=0.023) adverse for severe pneumonia. Hemoptysis, hypo lymphopenia, high procalcitonin, and ferritin linked to poor allograft outcomes with SARS-CoV-2 infection.
Conclusions: COVID-19 severity linked to poor kidney allograft prognosis. Hyperglycemia, low hemoglobin, and drug protocols including cyclosporine rather than tacrolimus correlated with COVID-19 pneumonia. Hemoptysis, low lymphocytes, high procalcitonin or ferritin were concerned with kidney allograft prognosis post-COVID-19.
DOI: 10.6084/m9.figshare.19101693.v1
title: Additional file 1 of ddRAD-seq reveals the genetic structure and detects signals of selection in Italian brown trout

description: Additional file 1: Table S1. Sample description. Sample metadata, including sample name and origin and, for samples passing quality control, Sequence Read archive Run (SRR) accession number, genotype assignment to each population and MaxQ.
DOI: 10.6084/m9.figshare.24547936.v1
title: Files of paper "Putative mechanism of a multivitamin treatment against insulin resistance"

description: The present files are part of the work that aims to describe the putative mechanisms of vitamins involved in the inflammatory pathway of insulin resistance. The strategy to achieve this goal was integrating data mining and analysis, target predictions, and molecular docking simulations calculations to support our hypotheses.
DOI: 10.6084/m9.figshare.28658303.v1
title: seaweed_metabolom.csv

description: Metabolomic profiles of Indonesian seaweed species
DOI: 10.17632/cft57yckt3
title: Code for the article "An Explainable Machine Learning Model for Early Warning of Hypertensive and Hypotensive Anomalies in Maintenance Hemodialysis Patients"

description: We built two ML models to predict Intradialytic hypotension and intradialytic hypertension, respectively. The model training and validation process uses Python's data science and ML libraries. The ipynb files contain the code for data preprocessing, model training, performance evaluation, and interpretive analysis.
DOI: 10.6084/m9.figshare.21561684.v1
title: Supplemental Table showing antibody resources

description: Description and validation of antibodies used for western blot and immunohistochemistry
DOI: 10.17632/cn9v2d266v
title: All-solid-waste concrete with novel gelling particles solid-loaded with bacteria: mechanical properties and crack repair prediction

description: The self-healing technology of microbial concrete has attracted considerable attention. However, most current research focuses on Portland cement concrete, with relatively limited studies on self-healing in All Solid Waste Concrete (ASWC). In this study, a novel low-alkalinity gel particle (ASNC) was developed using Sulphate Aluminate Cement, silica fume, mineralizing solution, and nutrient solution, serving as a bacterial carrier. This carrier was utilized to immobilize Sporosarcina pasteurii, Denitrifying bacteria, and mixed bacteria, respectively, and then applied to ASWC. Microscopic characterization (XRD, SEM, EDS) was employed to verify the bacterial loading capacity of ASNC. A systematic evaluation was conducted on the crack self-healing effectiveness and mechanical properties of ASWC, and corresponding predictive models were established. The results demonstrate that ASWC with bacteria immobilized by ASNC exhibits outstanding performance in crack repair, compressive strength, and water absorption. Specifically, ASWC-BD with mixed bacteria immobilized can repair cracks with a width of 400 μm within 28 days, achieving a crack area repair rate of 98.33% and a compressive strength recovery rate of 81%. Furthermore, the predictive model provides a good assessment of the repair effectiveness. This study offers a novel direction for the application of microbial crack repair technology in ASWC.
DOI: 10.17632/pjzkbrw57h
title: Simulated results for sandy tsunami deposits

description: This dataset provides the simulated results for sandy tsunami deposits on an ideal topography. 
Data 1: figures 4 - 11
Data 2: figures 13(a-c), 14(a-c)
Data 3: figures 13(d-f), 14(d-f)
DOI: 10.6084/m9.figshare.28538831.v1
title: Human disturbance facilitates the environmental dependence of biodiversity-ecosystem multifunctionality relationship across spatial scales in temperate forests

description: The relationship between biodiversity and ecosystem multifunctionality (BEMF) is environmentally dependent under global climate change, and increasing human disturbance may affect this dependence. However, the specific mechanisms across spatial scales remain unclear, especially in temperate forests. Accordingly, this study aims to explore how human disturbance affects the BEMF relationship and its environmental dependence at different scales of communities in temperate forests. Based on a set of forest inventory data from northeastern China, we used structural equation models and linear mixed-effects models to test the impact factors of BEMF relationship. The results show that different scales of biodiversity, human footprint, environmental optimality and heterogeneity along with their interactions significantly influence the local and regional EMF. Human disturbance has a significantly negative effect on the environmental optimality dependence of the BEMF relationship at the local scale, and a significantly positive effect on the environmental heterogeneity dependence at the regional scale. The findings highlight the important role of human disturbance in mediating the environmental dependence of BEMF relationships, which suggests that forest management could regulate the BEMF relationship by controlling human activities under global climate change.
DOI: 10.6084/m9.figshare.28696112.v1
title: Conjunto de dados (recuperado automaticamente Bibliometrix)

description: Conjunto de dados extraídos da base Web of Science que foram recuperados automaticamente com o Software R pacote Bibliometrix. Estudo Bibliométrico das publicações científicas em enfermagem sobre o acesso aberto.
DOI: 10.17632/n6c36j4fn2
title: From High to Low: the Potential of Genetics in Identifying Women at Lower Risk of Breast Cancer

description: This is a table with all of the data used for our manuscript: "From high to low: the potential of genetics in identifying women at lower risk of breast cancer". 
There is one row per participant. 25,591 participants total. 
The P_VUS column indicates whether the individual has a P (pathogenic) variant or a VUS (variant of uncertain significance) in one of 5 genes: BRCA1, BRCA2, PALB2, ATM and CHEK2. 
The PRS_percentile column provides the polygenic risk score percentile for this individual. It is between 0 and 99 included. 
The carrier_status column indicates whether the individual is in the low-risk group or the 'at_risk' group which corresponds to women at average or high risk. 
The censor_surv_BrCa column indicates whether the individual was diagnosed with breast cancer (1) or not (0).
The age_surv_BrCa indicates the age of first diagnosis for those diagnosed with breast cancer or the current age for those not diagnosed with breast cancer.
DOI: 10.6084/m9.figshare.15177156.v1
title: PCR analyses

description: PCR analyses
DOI: 10.6084/m9.figshare.26097055.v1
title: Code: Evolutionary cycles in a model of nestmate recognition

description: Nestmate recognition is a wide-spread phenomenon and evolutionary important trait in the social insects. Yet evidence accumulates that the responses to non-nestmates varies more than previously thought. We present a simple frequency-dependent cost-benefit model of nestmate recognition to understand conditions that might or might not favor the evolution of nestmate recognition that is based on cuticular hydrocarbon (CHC) profiles. Costs accounted for are costs for (i) maintaining a functional recognition system and (ii) keeping a CHC profile that may be sub-optimal regarding other functionalities like desiccation control, whereas the benefit of recognition is the prevention of nest raiding by other colonies. Unsurprisingly, the model indicates that recognition systems only evolve if costs are sufficiently low and benefits sufficiently high. In addition, the model suggests that nestmate recognition is more likely to evolve if colony turnover is fast (colony life-expectancy is low). Our model creates evolutionary cycles that are typically longest under parameter combinations that just allow the evolution of recognition systems at all; the system expresses attributes of a rock-paper-scissors game. The model shows that a breakdown of nestmate recognition may occur under changing ecological situations, e.g. as a result of reduced intraspecific competition or increased abiotic stress. We speculate that such effects may be involved in the formation of supercolonies during invasions. Nestmate recognition may have evolved more to prevent interspecific predation or parasitism by antagonists that managed to mimic their host's CHC profile than as a mechanism to prevent exploitation by conspecific colonies.
DOI: 10.17632/pwkyycdtm4
title: Survey on fertility in the Southeast of Vietnam in 2020

description: The dataset is a part of the survey conducted  in Ho Chi Minh City and Dong Nai the Southeast region of Vietnam in 2020 to collect information for research on fertility. The main research purpose is to identify the socioeconomic determinants of low fertility in the Southeast. In total 808 individuals in the main reproductive age were interviewed, including 382 cases from Dong Nai and 426 cases from Ho Chi Minh City, or 273 unmarried persons and 535 married women. Information about family size desires and socio-demographic characteristics of 535 married men were asked when interviewing their spouses. As such, the survey collected information on the family size desires of 1343 individuals. The dataset has been converted to SPSS format (version 26.0). For data analysis, the dataset need to be weighted (WEI variable) as individuals were not selected with equal probability.
DOI: 10.6084/m9.figshare.27620418.v1
title: Dataset of Badain Jaran Desert in China

description: Ground observation dataset of Badain Jaran Desert in China
DOI: 10.6084/m9.figshare.21213293.v1
title: Chaff Cutter Hand Injuries from Nakuru,Kenya.

description: We conducted a retrospective descriptive study on patients presenting with chaff-cutter hand injuries. The study was done from Nakuru County, in Kenya. We collected data for all patients who presented and were managed from Nakuru Level V Hospital during period starting July 2019 through June 2020. The case notes for the patients were retrieved from patients’ records and from the register of operations in the operating room. The patients’ biodata, type of injury and the surgical procedure performed were obtained. We included all injuries in all volar zones of the hand and used the Hand Injury Severity Score (HISS) to assign a HISS score for every patient. An enquiry was then made through a telephone call to the patients or their caretakers, a year after the month of hospital discharge, collecting data on whether the patient had resumed gainful activity
DOI: 10.6084/m9.figshare.26484757.v1
title: <b>Caspase-4 transgenic mice exhibit cytoplasmic </b><b>TDP-43</b><b> accumulation and pathology</b>

description: CASP4 mice exhibited gene expression changes and neuropathology similar to those observed in sporadic ALS patients, but different transcript profiling to the natural aging normal mouse.
DOI: 10.6084/m9.figshare.21974736.v1
title: Prevalence and predictors for postpartum sleep disorders: a nationwide analysis

description: To describe the prevalence and predictors of postpartum sleep disorders. A retrospective cohort study. Postpartum. Commercially insured women delivering in California (USA) between 2011 and 2014. Using the Optum Clinformatics Datamart Database. Prevalence of a postpartum sleep disorder diagnosis with and without a depression diagnosis up to 12 months following hospital discharge for inpatient delivery. We also identified predictors of a postpartum sleep disorder diagnosis using multivariable logistic regression. We identified 3535 (1.9%) women with a postpartum sleep disorder diagnosis. The prevalence of sleep disorder diagnoses was insomnia (1.3%), sleep apnea (0.25%), and other sleep disorder (0.25%). The odds of a postpartum sleep disorder were highest among women with a history of drug abuse (adjusted odds ratio (aOR): 2.70, 95% confidence interval (CI): 1.79–4.09); a stillbirth delivery (aOR: 2.15, 95% CI: 1.53–3.01); and chronic hypertension (aOR: 1.82; 95% CI: 1.57–2.11). A comorbid diagnosis of a postpartum sleep disorder and depression occurred in 1182 women (0.6%). These women accounted for 33.4% of all women with a postpartum sleep disorder. The strongest predictors of a comorbid diagnosis were a history of drug abuse (aOR: 4.13; 95% CI: 2.37–7.21) and a stillbirth delivery (aOR: 2.93; 95% CI: 1.74–4.92). Postpartum sleep disorders are underdiagnosed conditions, with only 2% of postpartum women in this cohort receiving a sleep diagnosis using International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codes. Insomnia was the most common disorder and one-third of women diagnosed with a postpartum sleep disorder had a co-morbid diagnosis of depression. Future studies are needed to improve the screening and diagnostic accuracy of postpartum sleep disorders.
DOI: 10.6084/m9.figshare.24087036.v1
title: Data of land cover and land use change oof shade-grown coffee agroecosystem inCumbres de Huicicila, Nayarit, Mexico.

description: Area extension, net change, and rate of change (2007-2019) of land cover and land use in Cumbres de Huicicila. Data from the article "Effects of Land Cover and Land Use Change on Nature's Contributions to People of the Shade-Grown Coffee Agroecosystem: An Analysis of Cumbres de Huicicila, Nayarit, Mexico".
DOI: 10.6084/m9.figshare.26319217.v1
title: Canopy temperature data at Niwot Ridge and Harvard Forest

description: This dataset contains processed canopy temperature data from Niwot Ridge and Harvard Forest. The Niwot Ridge dataset is collected using an A655sc thermal infrared camera (FLIR Systems, Inc., 640 × 480 pixel resolution, 45° FOV) positioned near the top of the US-NR1 tower. Similarly, the Harvard Forest dataset is obtained using an A655sc thermal infrared camera (FLIR Systems, Inc., 640 × 480 pixel resolution, 45° FOV) mounted on the Barn tower. Each column in the dataset represents a region of interest within the field of view of the thermal cameras, as described in Aubrecht et al. (2016).Aubrecht, D. M., Helliker, B. R., Goulden, M. L., Roberts, D. A., Still, C. J., & Richardson, A. D. (2016). Continuous, long-term, high-frequency thermal imaging of vegetation: Uncertainties and recommended best practices. <i>Agricultural and Forest Meteorology</i>,<i> 228-229</i>, 315-326. https://doi.org/https://doi.org/10.1016/j.agrformet.2016.07.017
DOI: 10.6084/m9.figshare.1546772.v1
title: DFT dilute solute diffusion in Al, Cu, Ni, Pd, Pt, and Mg

description: A total of more than 230 dilute solute diffusion systems in Mg, Al, Cu, Ni, Pd, and Pt host lattices have been determined using density functional theory (DFT) calculations and multi-frequency diffusion models. This dataset include the jump barriers and attempt frequencies for each solute as well as final Arrhenius diffusion constant, D0, and diffusion activation barrier, Q.
DOI: 10.15468/dl.cv5h2u
title: Occurrence Download

description: A dataset containing 400 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 Pilophorus perplexus Douglas & Scott, 1875"
 ]
}

 The dataset includes 400 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009373-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.12177684.v1
title: Additional file 1 of Comparison of choriocapillary flow density between fellow eyes of polypoidal choroidal vasculopathy and neovascular age-related macular degeneration

description: Additional file 1: Table 4. Baseline Demographics and Clinical Characteristics of Subjects. Table 5. Univariate Analysis of Potential Correlation Factors (Age, gender, BCVA, smoking status, hypertension, DM, AREDS classification, and SFCT) With CFD-1.00, CFD-1.50, and CFD-3.00 as dependent variable. Table 6. Multivariate Analysis of Correlation Factors with CFD-1.00, CFD-1.50 and CFD-3.00 as Dependent Variables.