cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/2cw567k73r
title: Granulomatous secondary syphilis with pulmonary involvement

description: This dataset is a compendium of all published secondary syphilis cases with either granulomatous features on pathology or pulmonary involvement before July 2023. These tables are supplementary material for the pending publication of Johnston, et al. JAAD Case Reports 2024.
DOI: 10.6084/m9.figshare.2055729.v1
title: Dataset cerebral palsy pre- and post-Botulinum Toxin A

description: Data used in the paper: Literature review and comparison of two statistical methods to evaluate the effect of botulinum toxin treatment on gait in children with cerebral palsy.Kinematic parameters pre-post-BTX-A were used for paired t-test analyses. Pelvis_sag, hip_sag, knee_sag, ankle_sag, pelvis_cor, hip_cor, pelvis_trans, hip_trans, and FPA represent kinematic waveforms and were used for Hotellings T² and paired t-test SPM analyses.
DOI: 10.6084/m9.figshare.26085265.v1
title: 中国地下污水处理厂分布与表征数据集

description: 地下污水处理厂 （U-WWTP） 已成为城市废水污染物管理的一种新范式，具有缓解 NIMBY（不在我后院）效应和有效利用土地资源等好处。中国走在前列，见证了U-WWTP技术和部署的快速进步。然而，如果不能深入了解城市污水处理的地理分布和运行特点，就可能导致规划和建设错位，从而导致城市污水处理的资源配置和处理能力效率低下。该数据集提供了自1995年以来中国所有U-WWTP构建（共计201个）的空间分布、过程选择和排放标准的最新概况。为了加强比较分析，该数据集补充了传统地上废水处理厂（A-WWTP）的信息，共包括2464条记录，从而丰富了对不同废水处理方法的更全面的评估。利用该数据集可为城市污水系统的战略管理提供必要的数据支撑，为既有污水处理厂的范式改造提供有价值的参考。
DOI: 10.6084/m9.figshare.4729840.v1
title: Newborn sleep EEG data

description: The dataset includes 1,110 sleep EEG recorded in clinical conditions from newborns in 10 age groups from 36 to 45 weeks is available as MATLAB .mat files.<br><br>Each .mat file contains approx. 100 recordings made using two channels, C3-T3 and C4-T4. The EEG are saved as cell array D2{nrecordings,nchannels}. <br>
DOI: 10.6084/m9.figshare.6824873.v1
title: Supplementary Material for: Gender Differences in Anxiety and Depression before and after Alcohol Detoxification: Anxiety and Depression as Gender-Related Predictors of Relapse

description: <b><i>Background/Aims:</i></b> The aim of this prospective study was to estimate gender differences in anxiety, depression, and alcohol use severity among patients with alcohol use disorder (AUD) before and after detoxification program and within 12 months after discharge. <b><i>Methods:</i></b> AUD severity, state and trait anxiety, and depression were assessed in 187 patients entering an inpatient alcohol detoxification program. Follow-up assessments were performed at 6 and 12 months after discharge. A between- and within-subjects analyses explored gender differences. The predictive value of anxiety and depression for alcohol relapse was analyzed by logistic and linear regression in both genders. <b><i>Results:</i></b> Females had higher levels of anxiety and depression than males both at admission and after discharge. Trait anxiety and depression significantly increased 6 months after discharge in males and females respectively. Both state and trait anxiety levels at the 6-month follow-up predicted alcohol relapse at the 12-month follow-up in males. Conversely, in females, depression level at the 6-month follow-up was a predictor of relapse at the 12-month follow-up. <b><i>Conclusions:</i></b> In both genders, the psychopathological dimension that showed the most significant worsening at 6-month follow-up (i.e., anxiety in males and depression in females) was found to be a significant predictor of relapse at the 12-month follow-up.
DOI: 10.15468/dl.s9wrhu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holtbyrnia innesi (Fowler, 1934)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((17.8454 -33.8607,17.8905 -34.1504,17.9648 -34.1504,17.9648 -25.1504,14.3389 -25.1504,14.4725 -26.5137,15.1589 -28.0715,16.3623 -29.3594,16.8947 -30.6715,17.7447 -31.9232,17.8096 -32.2341,17.5192 -32.4186,17.3515 -32.9009,17.8454 -33.8607))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013417-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.26302231.v1
title: Global Citizenship Education

description: This data was collected for the study entitled <b>Social Science Teachers’ Perceptions and Practices of Global Citizenship Education: Case Study of two Government Primary Schools in Bangladesh</b>
DOI: 10.6084/m9.figshare.7131335.v1
title: Sequence analysis of the cDNA encoding for SpCTx: a lethal factor from scorpionfish venom ( Scorpaena plumieri )

description: Abstract Background: Lethal factors are multifunctional oligomeric proteins found in the venomous apparatus of Scorpaeniformes fish. These toxins elicit not only an array of biological responses in vitro but also cardiovascular disorders and strong hemolytic, nociceptive and edematogenic activities in vivo. This work describes the cloning and molecular identification of two toxin subunits, denominated Sp-CTx-α and Sp-CTx-β, from scorpionfish venom ( Scorpaena plumieri ). Methods: The primary structures were deduced after cDNA amplification by PCR with primers from conserved sequences described in Scorpaeniformes toxins. Following DNA sequencing and bioinformatic analysis, the tridimensional structures of both subunits were modeled. Results: The translated sequences (702 amino acids, each subunit) show homology with other lethal factors, while alignment between Sp-CTx-α and Sp-CTx-β shows 54% identity. The subunits lack N-terminal signal sequences and display masses of approximately 80 kDa each. Both Sp-CTx subunits display a B30.2/SPRY domain at the C-terminal region with typically conserved motifs as described in these toxins. Secondary structure prediction identified six α-helices 18 residues long in both α and β subunits, some of them amphiphilic with their N-terminal flanked by many basic residues, creating a cationic site associated with the cytolytic activity of these toxins. Antimicrobial potential sites were identified in Sp-CTx and share some features with other peptides presenting variable and broad-spectrum activity. A phylogenetic tree built to represent these toxins supports the proximity between scorpionfish, lionfish and stonefish. Conclusion: The study identified a putative toxin protein whose primary structure is similar to other fish toxins and with potential for production of antivenom against scorpionfish envenomation in Brazil. As a prelude to structure-function studies, we propose that the toxin is structurally related to pore-forming marine toxins.
DOI: 10.17632/536h5hwxzp
title: Dataset and code files for the article "Development and comparison of machine learning models for in-vitro drug permeation prediction from microneedle patch"

description: The dataset was gleaned from literature to train and evaluate different machine learning (ML) models, such as stacking regressor model, artificial neural network (ANN) model, and voting regressor model. In this study, models were developed to improve the prediction accuracy of the in-vitro drug release amount from the hydrogel-type microneedle patch and the in-vitro drug permeation amount through the micropores created by solid microneedles on the skin. We compared the performance of these models using various metrics, including R-squared score (R2 score), root mean squared error (RMSE), and mean absolute error (MAE). Voting regressor model performed better with drug permeation percentage as an outcome feature having RMSE value of 3.24. The value of permeation amount calculated from the predicted percentage is found to be more accurate with RMSE of 654.94 than direct amount prediction, having a RMSE of 669.69. All our models have performed far better than the previously developed model before this research, which had a RMSE of 4447.23. We then optimized voting regressor model’s hyperparameter and cross-validated its performance. Furthermore, it was deployed in a webapp using Flask framework, showing a way to develop an application to allow other users to easily predict drug permeation amount from the microneedle patch at a particular time period. All code files and deployment files are available on the provided GitHub repository link. Altogether, this project demonstrates the potential of ML to facilitate the development of microneedle patch and other drug delivery systems.
DOI: 10.25446/oxford.28677923.v1
title: Example sentences from Kähler grammar

description: FLEx analyses of the example sentences in Kähler (1940), "Grammatischer Abriss des Enggano".
DOI: 10.6084/m9.figshare.12645494.v1
title: Adaptive transgenretional effects remain significant

description: This is reanalysis of the data of Yin et al. 2019 Ecol Lett. The data is used in the Reply to the Technical Comment (Sánchez-Tójar et al. 2020, Ecol Lett, The jury is still out regarding the generality of adaptive “transgenerational” effects) on Yin et al. 2019.<pre></pre>
DOI: 10.6084/m9.figshare.21814911.v1
title: Crop residue return sustains global soil ecological stoichiometry balance

description: Data set for <strong>Crop residue return sustains global soil ecological stoichiometry balance</strong>
DOI: 10.6084/m9.figshare.28624451.v1
title: Supplementary Material for: Analysis of lifestyle and genetic risk factors in urban women in China who had malignant or suspected malignant breast nodules identified via breast cancer screening

description: Objective: Breast cancer seriously endangers women's health. It is very important to analyze the lifestyle and genetic risk factors for people with malignant or suspected malignant nodules in breast cancer screening for the prevention of breast cancer.
Methods: A total of 3142 urban female residents in southern China completed a clinical screening for breast cancer. The participants completed questionnaires on living environmental factors and underwent clinical imaging examinations and genetic testing of 73 SNP loci. According to the BI-RADS classification results, the population was divided into positive and negative groups. Key factors were identified through intergroup differences and association analysis. Lifestyle models, SNP models, and lifestyle+PRS models were constructed. ROC curves and nomograms were used to evaluate the classification effect of the model.
Results: There were 10 lifestyle factors that were significantly different between the groups, 4 of which were significantly associated with positive breast imaging results (P&lt;0.05), including age (OR=0.972, 95% CI: 0.957-0.988), duration of breastfeeding (0.982, 0.970-0.994), history of benign breast disease (1.838, 1.299-2.599), and high-fat diet (1.507, 1.166-1.947). There were 5 significant SNPs, including BRCA2-rs1799955, TLR1-rs4833095, ZNF365-rs10822013, SLC4A7-rs4973768, and BRCA2-rs144848. The AUC values for the lifestyle, SNP and lifestyle+PRS models were 0.625, 0.598 and 0.633, respectively. The C-index of the lifestyle+PRS model was 0.633.
Conclusion: Advocating breastfeeding, reducing the intake of high-fat diets, and protecting breast health may help to lower the risk of positive results in breast screenings. The combination of lifestyle factors and genetic factors can enhance the predictive power of the model.
DOI: 10.17632/bpnyzc9tvs
title: Effects of Kumkuma Nasya on Ardhavbhedaka Rog

description: Medicine when administered through the nose is called ‘Nasya’. Nose is the gateway of head and as such drug administered by this route pervades the head and thus destroys the disorders there of. Kumkuma (Saffron), Goghruta (Cow’s Ghee), Sharkara (Sugar Candy) and Godugdhda (Cow’s Milk) are the ingredients of Kumkuma Nasya formulation. Disorders of Vata - Rakta, Ruja or Shula (pain) present in Bhru, Shankha, Akshi, Shir, Karna, Suryavarta and Ardhavabhedaka can be cured by Kumkuma Nasya as said by Acharya Sharagdhara. Patients having such diseases want to get immediate relief in their Lakshana Shula (pain) is the fact and it is observed that in all available medicinal therapy Kumkuma Nasya is effective for cure, therefore need of better treatment this work was carried out. These diseases are not serious or life threatening but loses concentration and affects deeply on working hours of an individual which indeed contributes personal and national loss. Hence such diseases have required detailed study. In Shiroroga samanya samprapti due to hetu, dosha like vata etc. get aggravated and resulting in the vitiation of raktadhatu in the head region. This causes diseases with various symptoms in the head region4. In modern medicine ‘Migraine’ disease is described which is similar to ‘Ardhavabhedaka Roga’. In attacks of migraine caused extracranial vasodilatation and these neurologic symptoms are produced by intracranial vasoconstriction. Nasal instillation of this Kumkuma Nasya for few days relieves the person of agony of the said diseases is the Ayurvedika claim. It is purpose of present research work to find out whether Ayuvedika claims are justified. However there is much study on the pharmacological activity and clinical effectiveness of saffron (Simon J.E, A.E Chadwick and L.E.Craker. 1984. The scientific literature on selected herbs and aromatic and medicinal plants of the temperate zone. Archon books, 770pp, Handen ct), but planned and detailed study is not done on Kumkuma Nasya is the lacuna; hence the present research study was under taken. S. Sathye et al 1969 devised measurements of Caloric values as criteria for assessment of pain. For assessment of pain we have used the same model in this work, as this model was suitable and conclusive for assessment of ‘Vatavrudhdi ’. AIM : To assess the efficacy of Kumkuma Nasya in Ardhavabhedaka roga. OBJECTIVES : 1.Reduction in signs and symptoms of Ardhavabhedaka Roga viz- Ativedana of Manya, Bhru, Shankha, Karna, Akshi, Ardhalalat. 2. Change in caloric values which are below normal level such as Basal pulse rate, Systolic blood pressure, Body weight, Hb %, Total plasma protein level, Total plasma albumin level, Cholesterol level, ECG height of ‘R’ in lead I and II.
DOI: 10.6084/m9.figshare.22262575.v1
title: cis-eQTLs for 24 tissues

description: We applied the statistical fine-mapping method, dap-g (v1.0.0), to infer multiple independent casual <em>cis</em>-eQTLs of a gene in a tissue. The dap-g approach employed a Bayesian variable selection model, using a signal-level posterior inclusion probability (SPIP) to measure the strength of each association signal (SNPs in LD). We set a cutoff of 0.1 (i.e., SPIP &gt; 0.9) as the inclusion threshold to detect representative/independent eQTLs for the target eGene.
DOI: 10.6084/m9.figshare.28284869.v1
title: Microalgae Dataset 0 - Species selected according to the role of CO2 absorption present in scientific literature

description: Species selected according to the role of CO2 absorption present in scientific literature
DOI: 10.6084/m9.figshare.28950818.v1
title: Databases for MGlinux.v18.3

description: Compressed databases needed for the virtual machine MGlinux v18.3; files included:focus_dbs.tar.gz &lt;- focus taxonomic classificationmg_dbs.v3.tar.gz &lt;- mg_classifier databasesscg.tar.gz &lt;- anvio SCG taxonomic classification, diamond databases
DOI: 10.6084/m9.figshare.17009087.v2
title: Total surface shortwave flux distributions 1901-2017 in support of carbon cycle modelling: Constant tropospheric aerosols, no stratospheric aerosols.

description: This dataset offers 6-hourly distributions of the total downward shortwave flux over the period 1901-2017. Radiative transfer calculations are based on monthly-averaged distributions of tropospheric aerosol optical depth, and 6-hourly distributions of cloud fraction. Methods follow those described in the Methods section of Mercado et al. (doi:10.1038/nature07949, 2009), but with updated input datasets. This version of the dataset excludes the radiative effects of stratospheric aerosols.<br><br>The time series of speciated tropospheric aerosol optical depth is taken from the historical and RCP8.5 simulations by the HadGEM2-ES climate model (Bellouin et al., doi:10.1029/2011JD016074, 2011). To correct for biases in HadGEM2-ES, tropospheric aerosol optical depths are scaled over the whole period to match the global and monthly averages obtained over the period 2003-2017 by the CAMS Reanalysis of atmospheric composition (Inness et al., doi:10.5194/acp-19-3515-2019, 2019), which assimilates satellite retrievals of aerosol optical depth. In this version of the dataset, monthly aerosol distributions are held fixed to their multi-annual means for 1901-1920.<br><br>The time series of cloud fraction is obtained by scaling the 6-hourly distributions simulated in the Japanese Reanalysis (JRA; Kobayashi et al., doi:10.2151/jmsj.2015-001, 2015) to match the monthly-averaged cloud cover in the CRU TS v4.03 dataset (Harris et al. doi:10.1038/s41597-020-0453-3, 2020).<br><br>Surface radiative fluxes account for aerosol-radiation interactions from both tropospheric and stratospheric aerosols, and for aerosol-cloud interactions from tropospheric aerosols, except mineral dust. Tropospheric aerosols are also assumed to exert interactions with cloud. The radiative effects of those aerosol-cloud interactions are assumed to scale with the radiative effects of aerosol-radiation interactions of tropospheric aerosols, using regional scaling factors derived from HadGEM2-ES.<br><br>Atmospheric constituent other than aerosols and clouds are set to a constant standard mid-latitude summer atmosphere.
DOI: 10.6084/m9.figshare.19314266.v1
title: r3DiM Benchmark.zip

description: SummaryThe r3DiM benchmark contains resource (energy & material) consumption data for 3D printing 68 different mechanical components using a Prusa i3 MK3S 3D printer. All components in the database are isovolumetric (have the same model volume of 5.0 cm3) and were printed using identical print settings. Each component was printed in multiple orientations, producing a total of 184 distinct prints.ContentsThe contents of this benchmark is available at the <code>README.pdf</code>.AcknowledgementsThe authors would like to thank Ahmad Madary from the Department of Mechanical & Production Engineering, Aarhus University for assisting with the development of the hardware setup used in this research. We also thank the contributors to the Printun codebase, which was instrumental for gathering energy conumption data from the Prusa i3 MK3S printer.CitationSzemeti, G., & Ramanujan, D. (2022). An Empirical Benchmark for Resource Use in Fused Deposition Modelling 3D Printing of Isovolumetric Mechanical Components. <i>Procedia CIRP</i>, <i>105</i>, 183-191.<br>
DOI: 10.6084/m9.figshare.21644621.v1
title: DBI values dataset

description:  The values of the Dragonfly Biotic Index (DBI) for Czech and South African species. DBI of each species is calculated as the sum of three subindices: geographical distribution, conservation status according to the IUCN Red List (threat), and sensitivity to disturbance.
DOI: 10.17632/d9dntsd3h7
title: Ceramic Fused Filament Fabrication (CF3) of zirconia implants by using flexible, partially water-soluble binder systems - data set

description: This dataset contains all data generated in connection with the related journal article. This includes the rheological properties of the developed feedstocks as well as the post-processing data.
DOI: 10.6084/m9.figshare.24187626.v1
title: VASA Complete dataset

description: Tool validation
DOI: 10.6084/m9.figshare.5657332.v1
title: Fupplementary file: The list of the genes which were mapped to Go terms from The muscle development transcriptome landscape of ovariectomized goat

description: Table S4 GO analysis result
DOI: 10.6084/m9.figshare.17697209.v1
title: A novel multi-objective optimization model for vehicle routing problem with drone delivery and dynamic flight endurance

description: In these instances, the number of customers is set to 40, 80, 120, and 160 respectively. All customers and depot are located in a square area. The vertical distance from the edge of the area to the center of the area is set to 20 km, 30 km, and 40 km, which represent the three different sizes of square areas respectively. Because the maximum load capacity of drones can not satisfy the demand of all customers in the real world, the percentage of customers that can be served by drones is assumed to be 30%, 50%, and 70% respectively in these instances. Since these instances involve the different types of combinations (the number of customers, the vertical distance from the edges of square area to its center, and the percentage of customers who can be served by drones), they can be simply named intuitively. For example, the instance "40-20-30" means that there are 40 customers located in a square area, the vertical distance from the edge of the area to its center is 20 km, and only 30% of the customers can be served by the drone.
DOI: 10.6084/m9.figshare.19093307.v1
title: expression data.csv

description: In this research, we proposed the SNR-PPFS feature selection algorithms to identify key gene signatures for distinguishing COAD tumor samples from normal colon tissues. Using machine learning-based feature selection approaches to select key gene signatures from high-dimensional datasets can be an effective way for studying cancer genomic characteristics.
DOI: 10.6084/m9.figshare.4960199.v1
title: PowerPoint Slides for: Pregnancy Outcomes in Patients with Glomerular Disease Attending a Single Academic Center in North Carolina

description: <b><i>Background:</i></b> Contemporary data regarding pregnancy outcomes in US patients with primary glomerular diseases are lacking. We aimed to report fetal and maternal outcomes among women with biopsy-proven primary glomerular disease who received obstetric care at a single large academic US center. <b><i>Methods:</i></b> All women with a biopsy-confirmed primary glomerular disease diagnosis and without end-stage kidney disease who received obstetric care at the University of North Carolina (UNC) Hospitals (1996-2015) were identified using the Glomerular Disease Collaborative Network registry and the UNC Hospitals Perinatal Database. The primary study outcome was perinatal death (stillbirth at &gt;20 weeks or neonatal death). Secondary outcomes included premature birth (&lt;37 weeks), birth weight, preeclampsia, and kidney function changes (postpartum vs. baseline). Demographics, clinical characteristics, and outcomes were compared across glomerular disease subtypes. <b><i>Results:</i></b> Among 48 pregnancies in 43 women (IgA nephropathy <i>n</i> = 17, focal segmental glomerulosclerosis [FSGS] <i>n</i> = 16, membranous nephropathy <i>n</i> = 6, minimal change disease <i>n</i> = 4), 13% of pregnancies resulted in perinatal death and 48% of babies were born prematurely. From a maternal perspective, 33% of pregnancies were complicated by preeclampsia, 39% by a doubling of urinary protein, and 27% by a ≥50% increase in serum creatinine. Outcome differences across glomerular disease subtypes were not statistically significant, although decline in kidney function appeared most frequent in FSGS. <b><i>Conclusion:</i></b> Adverse pregnancy outcomes are frequently observed in women with glomerular disease. The independent influence of glomerular disease subtype on outcomes requires further study. More widespread reporting and analysis of pregnancy outcomes in women with glomerular disease are urgently needed.
DOI: 10.6084/m9.figshare.1019945.v1
title: Gaussian Job Archive for C33H27CuI2N3P

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.10251053.v1
title: Data for: High Production of Soluble Iron Promoted by Aerosol Acidification in Fog

description: Observed and simulated results for total and soluble Fe, Fe solubility, acidic species including suflate, nitrate and oxalate, and relevant weather conditions.