cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/7yhvpnnnn6
title: bus data

description: Data of bus card swiping in Huangdao District, Qingdao for two months in 2018
DOI: 10.6084/m9.figshare.25036160.v1
title: metal learning for malware classification

description: With the emergence of smartphones, Android has become a widely used mobile operating system. However, it is vulnerable whenencountering various types of attacks. Every day, new malware threatens the security of users’ devices and private data. Many methodshave been proposed to classify malicious applications, utilizing static or dynamic analysis for classification. However, previous methodsstill suffer from unsatisfactory performance due to two challenges
DOI: 10.6084/m9.figshare.28697102.v1
title: CpG Analysis of Intergenic Regions in Pangolin-CoV (Pangolin Guangdong/2019)

description: This project analyzes the distribution of CpG sites in the intergenic regions of the Pangolin-CoV (Pangolin Guangdong/2019) genome. Key outputs include:- Tab-delimited file with CpG counts and observed/expected (O/E) ratios for each intergenic region.- Visualizations: - Bar chart showing CpG counts across regions. - Line plot illustrating O/E ratios.The analysis provides insights into the genomic characteristics of Pangolin-CoV and highlights regions with potential functional significance.
DOI: 10.17632/8953pcgdys
title: Dual Feed Progressive Cavity Pump Extrusion System for Functionally Graded Direct Ink Write 3D Printing

description: These files include the STL files used to create custom parts to mount the ViscoTec ecoDUOMIX-450 to the X-Gantry of the Prusa, and mount adapters to allow stepper motors to be compatible with the extruder. Also attached are Arduino files used to interpret G-code commands to run the stepper motors at different ratios. The following files are Licensed under the TAPR Open Hardware License. Users have permission to access, modify, and distribute the following files.
DOI: 10.17632/ckz2ss9njx
title: Supplementary Figure 1

description: Supplementary figures from Danka Svecova, Martin W. Lubell, Florence Casset-Semanaz, Harald Mackenzie, Roland Grenningloh, James G. Krueger 'A randomized, double-blind, placebo-controlled phase 1 study of multiple ascending doses of subcutaneous M1095, an anti interleukin-17A/F Nanobody®, in moderate-to-severe psoriasis' accepted for publication in the Journal of the American Academy of Dermatology
DOI: 10.17632/hhxdstgcnp
title: Supplemental Materials for JAAD Refusal of Surgery in Melanoma

description: Supplemental materials for the following JAAD manuscript: Refusal of Surgery Among Cutaneous Melanoma Patients: Clinical Predictors and Impacts on Melanoma-Specific Survival
DOI: 10.6084/m9.figshare.1579597.v1
title: BN Details

description: Partitioned expressions used in the nodes to specify their NPTs as well as details of all the scenarios used in the BN Model of Pascual et al., 2016 (Ecosystem Services, Volume 17, Pages 112-122).Paper source must be cited if the entire or part of the data contained here is to be used for future publications (Cite: Pascual, M., Pérez Miñana, E., Giacomello, E. (2016). Integrating knowledge on biodiversity and ecosystem services: Mind-mapping and Bayesian Network modelling. Ecosystem Services 16: 112-122. doi:10.1016/j.ecoser.2015.12.004
DOI: 10.17632/87k82k42g9
title: Sleep Disorder Analysis of Bangladeshi Female Cricketers using Sleep_ASBQ

description: This dataset brings together a rich set of information on Bangladeshi female cricketers to explore how their training routines, physical stats, and emotional states tie into sleep health. All the data were collected at 2024-25 session. For each athlete, you’ll find basic demographics (age, years of playing), training details (daily practice hours and level from local to international), and body measurements (height, weight, BMI).
To capture mood at the moment, participants rated 32 feelings (from “Active” to “Muddled”) on a 0–4 scale; we also distilled these into familiar mood dimensions like Anger, Fatigue, Vigor, and Calmness. On the sleep side, 17 targeted questions (e.g. trouble falling asleep, waking at night, daytime drowsiness) are scored 1–5, then summed into an overall sleep‐disorder index.
By linking how long and intensely these athletes train with how well and how restfully—they sleep, plus how they feel emotionally, this dataset opens doors to questions like:
Do high‐intensity training days predict restless nights or spikes in fatigue?
Are more experienced players better at maintaining steady sleep schedules?
Which mood patterns (e.g. low calmness, high tension) flag athletes at risk for chronic sleep problems?
Ready for statistical analysis or simple visualization, these clean, structured records can guide coaches, sports psychologists, and health professionals in spotting trouble early—and tailoring sleep‐support strategies that help elite athletes perform at their best.
DOI: 10.26188/25264408.v2
title: Field bounding boxes for primary specimen labels on herbarium specimen sheets

description: This dataset contains the bounding boxes for text fields on primary specimen labels (also known as 'institutional labels') on herbarium specimen sheets. The annotations are in YOLO format. It contains the following classes:0. genus<br>1. species<br>2. year<br>3. month<br>4. day<br>5. family<br>6. collector<br>7. authority<br>8. locality<br>9. geolocation<br>10. collector_number<br>11. infrasp_taxon<br>These classes were annotated on 3,642 images of institutional labels from 10 herbaria. 2,603 images are from the University of Melbourne's herbarium (MELU) and the remainder are from the nine herbaria represented in the benchmark dataset described by Dillen (10.3897/BDJ.7.e31817). The images are in subdirectories by the code of the respective herbarium. The institution corresponding to each code is:MELU: The University of Melbourne<br>BR: Meise Botanic Garden<br>K: Royal Botanic Gardens, Kew<br>BM: Natural History Museum, London<br>B: Botanic Garden and Botanical Museum, Berlin<br>E: Royal Botanic Garden Edinburgh<br>P: National Museum of Natural History, Paris<br>TU: Natural History Museum, University of Tartu<br>L: Naturalis Biodiversity Center<br>H: Finnish Museum of Natural History LUOMUS, University of Helsinki<br>These were broken down into 2,887 training images and 755 validation images and these are listed in train.txt and valid.txt respectively.For more information, see https://github.com/rbturnbull/hespi
DOI: 10.6084/m9.figshare.26549215.v1
title: <b>Formation and Spectral Characteristics of Color Centers in NaCl Induced by Space Radiation</b>

description: Raw data for visible and near-infrared and Raman spectroscopy in the manuscript by Chenan Pan to be published by Journal of Geophysical Research: Planets as "Formation and Spectral Characteristics of Color Centers in NaCl Induced by Space Radiation".
DOI: 10.6084/m9.figshare.29035769.v1
title: Eramic 25 genome annotation using RAST

description: Eramic 25 genome annotation using RAST
DOI: 10.6084/m9.figshare.5128903.v1
title: Supplementary Material for: Simultaneous Measurement of Breathing Kinematics and Surface Electromyography of Chest Wall Muscles during Maximum Performance and Speech Tasks in Children: Methodological Considerations

description: <b><i>Objective:</i></b> To develop a standardized paediatric protocol for acquiring simultaneous chest wall kinematics and surface electromyography (EMG) of chest wall muscles during maximum performance and speech tasks. <b><i>Patients and Methods:</i></b> Eighteen healthy participants included: (a) a younger age group (n = 6; ages 4.0-6.5 years), (b) an older age group (n = 6; ages 7.0-10.5 years), and (c) an adult group (n = 8; ages 21-33 years). A child (age 10 years) with spastic-type cerebral palsy (CP) served as a ‘proof of protocol feasibility'. Chest wall kinematics and surface EMGs (intercostals, rectus abdominus, external oblique, latissimus dorsi, and erector spinae) were acquired during maximum performance and speech tasks. <b><i>Results:</i></b> Successful calibration of the EMG signal and reliable detection of muscle activation onset, offset, and amplitude relative to vital capacity and percent maximum voluntary contraction in children were demonstrated. Kinematic and surface EMG measurements were sensitive to non-speech and speech tasks, age, and neurological status (i.e. CP). <b><i>Conclusion:</i></b> The simultaneous measurement of kinematics and EMG of the chest wall muscle groups provides a more comprehensive description of speech breathing in children. This protocol can be used for the observation and interpretation of clinical outcomes seen in children with motor speech disorders following treatments that focus on increasing overall respiratory and vocal effort.
DOI: 10.17632/hv7cmc4bx9
title: The Rise of Technopreneurs Among Generation Z for Future Economic Growth: Generation Z’s View on Technopreneur in Indonesia

description: This research has revealed valuable insights into the motivations, opportunities, challenges, strategies and experiences experienced by Generation Z technopreneurs in Indonesia. Using a thematic qualitative approach and in-depth interviews, this study found that Generation Z is driven by intrinsic motivations such as interest in technology and the desire to have a positive impact. They are able to identify business opportunities from unmet market needs and develop innovative technology-based solutions. However, they also face challenges such as difficulty accessing start-up funding and a lack of business experience. To overcome these obstacles, Generation Z technopreneurs utilize digital technology and collaboration, with social media playing an important role in building networks, seeking funding, and conducting digital marketing. Even though it is full of challenges, the experience of building a technology-based business provides satisfaction and personal growth for Generation Z technopreneurs. This research confirms the great potential that Generation Z has as agents of change in driving the growth of technopreneurship in Indonesia. With their enthusiasm, courage and resilience, they have the opportunity to bring innovation and new solutions to the world of technology, contributing to increasing the competitiveness of the national economy through the creation of new jobs and innovative technological solutions. These findings provide practical implications for educators, policy makers and industry players in designing appropriate supporting programs, educational curricula and policies to guide and facilitate the growth of Generation Z technopreneurs in Indonesia.
DOI: 10.6084/m9.figshare.29206415
title: Supplementary Tables_Natural Compounds Targeting ABC Transporters and MecA to Combat MRSA Antibiotic Resistance

description: <b>Abstract: </b>Methicillin-resistant <i>Staphylococcus aureus</i> (MRSA) poses a significant clinical challenge due to its resistance to multiple antibiotics. The urgent need for new therapeutic approaches has led to the exploration of natural compounds as potential treatments, particularly those targeting key bacterial proteins involved in antibiotic resistance. This study focuses on the Multidrug ABC Transporter and MecA proteins, which play crucial roles in MRSA's pathogenicity and resistance mechanisms. Using computational techniques and molecular docking methods, we assessed the interactions of 80 natural compounds against <i>S. aureus</i> multidrug ABC transporter SAV1866 (SAV1866) and the MecA proteins. Our analysis revealed 14 compounds with robust binding to SAV1866 and one compound with strong affinity for MecA. Notably, these compounds showed weaker affinities for MgrA, MepR, and arlR proteins, suggesting specificity in their interactions. Among the 15 promising compounds identified, 1',2-Binaphthalen-4-one-2',3-dimethyl-1,8'-epoxy-1,4',5,5',8,8'-hexahydroxy-8-O-β-glucopyranosyl-5'-O-β-xylopyranosyl(1→6)-β-glucopyranoside, Cis-3,4-dihydrohamacanthin b, and Mamegakinone exhibited the highest binding affinity to <i>S. aureus</i> SAV1866. These compounds represent diverse chemical classes including alkaloids, indole derivatives, naphthalenes, and naphthoquinones, offering a range of structural scaffolds for further drug development. Our findings provide valuable insights into potential new antibacterial agents targeting <i>S. aureus</i> SAV1866 and MecA proteins. These results lay the groundwork for future in vitro and in vivo studies to validate these compounds' efficacy in combating MRSA infections, potentially leading to the development of novel therapeutic strategies against antibiotic-resistant bacteria.
DOI: 10.6084/m9.figshare.29206415.v1
title: Supplementary Tables_Natural Compounds Targeting ABC Transporters and MecA to Combat MRSA Antibiotic Resistance

description: <b>Abstract: </b>Methicillin-resistant <i>Staphylococcus aureus</i> (MRSA) poses a significant clinical challenge due to its resistance to multiple antibiotics. The urgent need for new therapeutic approaches has led to the exploration of natural compounds as potential treatments, particularly those targeting key bacterial proteins involved in antibiotic resistance. This study focuses on the Multidrug ABC Transporter and MecA proteins, which play crucial roles in MRSA's pathogenicity and resistance mechanisms. Using computational techniques and molecular docking methods, we assessed the interactions of 80 natural compounds against <i>S. aureus</i> multidrug ABC transporter SAV1866 (SAV1866) and the MecA proteins. Our analysis revealed 14 compounds with robust binding to SAV1866 and one compound with strong affinity for MecA. Notably, these compounds showed weaker affinities for MgrA, MepR, and arlR proteins, suggesting specificity in their interactions. Among the 15 promising compounds identified, 1',2-Binaphthalen-4-one-2',3-dimethyl-1,8'-epoxy-1,4',5,5',8,8'-hexahydroxy-8-O-β-glucopyranosyl-5'-O-β-xylopyranosyl(1→6)-β-glucopyranoside, Cis-3,4-dihydrohamacanthin b, and Mamegakinone exhibited the highest binding affinity to <i>S. aureus</i> SAV1866. These compounds represent diverse chemical classes including alkaloids, indole derivatives, naphthalenes, and naphthoquinones, offering a range of structural scaffolds for further drug development. Our findings provide valuable insights into potential new antibacterial agents targeting <i>S. aureus</i> SAV1866 and MecA proteins. These results lay the groundwork for future in vitro and in vivo studies to validate these compounds' efficacy in combating MRSA infections, potentially leading to the development of novel therapeutic strategies against antibiotic-resistant bacteria.
DOI: 10.17632/8td4f55j2g
title: Contextual patch-NetVLAD: Context aware patch feature descriptor and patch matching mechanism for visual place recognition

description: This is the UTown7 dataset used in our paper, entitled "contextual patch-NetVLAD: Context aware patch feature descriptor and patch matching mechanism for visual place recognition".

It consists of images that are gathered from the Stephen Riady Centre, located on the campus of the National University of Singapore. They are gathered at seven unique locations across three different levels of the centre, including flavour back door, flavour front door, gym, swimming pool entrance, bank, restroom, and convenience store. It also contains the code to apply image augmentation methods to generate more images for the experimental performance evaluation.
DOI: 10.17632/t8nmk94n92
title: C3aR1 on β cells Enhances β cell Function and Survival to Maintain Glucose Homeostasis

description: Raw western blot images from Figure 1 and 5 from pancreatic islets.
DOI: 10.6084/m9.figshare.27018346.v1
title: Dataset from: "Plasticity in voltage-gated ion channels following overwintering in respiratory motoneurons of American bullfrogs"

description: <b>For a full description of the methods, please check the original paper. </b>Below, please find a description of the files' content.<br>Files on firing rates: Hypoglossal_firing rate, Fast vagus_firing rate, Slow vagus_firing rateTreatment: control and overwintered frogsCurrent: input current (in picoamperes: pA) utilized during current clamp experiments to elicit neuronal firing ratesFiring rate: neuron firing rate (in hertz: Hz) elicited by each input current used<br><br>Files on membrane properties: Hypoglossal_membrane properties, Fast vagus_membrane properties, Slow vagus_membrane propertiesTreatment: control and overwintered frogsResting potential: membrane resting potential (in millivolts: mV)Input resistance: membrane input resistance (in mega Ohm: MΩ)<br><br>Files on latency and rheobase: Hypoglossal_latency and rheobase, Fast vagus_latency and rheobase, Slow vagus_latency and rheobaseTreatment: control and overwintered frogsLatency: latency for first spike (in milli seconds: ms) after current stimulationRheobase: minimum current (in pico amperes: pA) necessary to elicit a spike in the measured neuron<br><br>Files on Calcium currents: Hypoglossal_Ca currents, Fast vagus_Ca currents, Slow vagus_Ca currentsTreatment: control and overwintered frogsVoltage: voltage (in millivolts: mV) used in voltage clamp experiments eliciting measured currents Peak current: current (in pico amperes normalized by capacitance: pA/pF) measured at the peak responseSteady state current: current (in pico amperes normalized by capacitance: pA/pF) measured after the current reached a steady state<br><br>Files on Potassium currents: Hypoglossal_K currents, Fast vagus_K currents, Slow vagus_K currentsTreatment: control and overwintered frogsVoltage: voltage (in millivolts: mV) used in voltage clamp experiments eliciting measured currents Total current: total potassium current (in pico amperes normalized by capacitance: pA/pF) measuredHigh threshold current: high threshold potassium current (in pico amperes normalized by capacitance: pA/pF) measuredA-current: potassium A-current (in pico amperes normalized by capacitance: pA/pF), calculated by subtracting high threshold currents from total current<br><br>Files on sodium persistent inward currents (NaPIC): Hypoglossal_Na persistent inward currents, Fast vagus_Na persistent inward currents, Slow vagus_Na persistent inward currentsTreatment: control and overwintered frogsHolding current: in pico amperes normalized by capacitance (pA/pF)Current amplitude: difference between the holding current and the peak response (in pico amperes normalized by capacitance: pA/pF)Peak voltage: voltage (in milli volts: mV) where the current peak response was identifiedVoltage sensitivity: the slope (in pico amperes over milli volts: pA/mV) of the change in current (in pico amperes: pA) by the change in voltage (in milli volts: mV)
DOI: 10.6084/m9.figshare.28588703.v1
title: ACL_datasets

description: The chemical space of substances covers about 10<sup>60</sup> known and unknown compound structures, including concerning chemicals occurring in the environmental exposome. Non-target analysis (NTA) using liquid chromatography (LC) with high-resolution mass spectrometry (HRMS) is the key methodology to comprehensively detect such high chemical variability in complex biological and environmental samples. Unfortunately, the tentative and known structures identified by NTA LC-HRMS cover less than 1% of the vast chemical space available. The complex data acquisition and analysis of NTA workflows contribute to this limitation. Although implementing a reliable LC-HRMS acquisition is essential for ensuring the quality and quantity of detectable structures, methods are often developed and validated on groups of target chemicals of interest (e.g., pharmaceuticals and/or personal care products) with limited structural and physicochemical variability. This bias reduces the detectable chemical space in chromatography and MS domains. However, prior knowledge on the chemical space region amenable to the developed NTA LC–HRMS methods is crucial for compound detection and identification confidence. To expand the detectable chemical space in NTA, we present an innovative workflow focused on unbiased sampling of compound structures for LC–HRMS method development from a vast chemical space of interest, such as the USEPA CompTox Chemistry Dashboard (&gt;1 million chemicals). This workflow utilizes multivariate, machine learning classification, and prediction models to mine structural candidates maximizing chemical space coverage. Accordingly, amenable compound lists (ACLs) are effectively sampled based on major PubChem physicochemical variables (e.g., molecular weight and XLogP) and predicted environmental mobility and ionization efficiency (IE) using structural fingerprint models, ensuring the selection of heterogeneous structures compatible with LC–HRMS analysis. The unbiased sampling of the CompTox chemical space generated ACLs containing more than ten thousand candidate structures compatible with LC–HRMS analysis in both positive and negative ionization modes (logIE &gt; 3.5 and &lt;1.5, respectively). ACL subsets (n=300) exhibited a significant chemical space coverage in terms of mass range (up to 1200 Da), predicted retention index (from 5 to 900), and structural variability including chemical classes in common with the European “watch lists” on the water monitoring framework. As a result, the proposed unbiased selection of ACLs from complex chemical spaces (exposomics, metabolomics, etc.) can potentially enhance NTA LC–HRMS detection coverage, as well as can assist the implementation of analysis methods consistent with the continuous expansion of the chemical space.
DOI: 10.17632/v7xh2m76tw
title: Predictive models of response to neoadjuvant chemotherapy in muscle-invasive bladder cancer based on nuclear morphology and tissue architecture

description: Performance evaluation of segmentation algorithm with regard to H&E, CyclinD1, Ki67, GATA3, P16, P53, P63, CK5/6, CK20, and Her2Neu.
DOI: 10.17632/ztyct77cdd
title: Mathematical Simulations PMTUD Dataset

description: This mathematical data is related to the research work on mathematical analysis of Path MTU Discovery in new generation networks. Hence it provides the research results and the outcomes.
DOI: 10.6084/m9.figshare.12097692.v1
title: Phylogenetic Methods From "The evolution of Puf superfamily proteins for rRNA maturation and mRNA translational regulation across the tree of eukaryotes."

description: Please find enclosed a total of five files per gene examined: <br><br># unaligned dataset<br>*.fasta<br><br># mafft-linsi aligned dataset*.mafft.fasta<br># gappyout masked alignement*.mafft.gappyout.fasta<br># alrt/ultrafast bootstrap maximum-likelihood tree<br>*..mafft.gappyout.*MODEL*.alrt.ultrafastBS.tre<br># non-parametric bootstrap/transfer bootstrap expectation*..mafft.gappyout.*MODEL*.PMSF_TBE.tre<br>
DOI: 10.6084/m9.figshare.28919657.v1
title: MC_data.tar.gz

description: Monte Carlo Data for the ensemble average of $\Delta$ and the probability distribution of $\Delta$.