cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/np9hmp92dj
title: Data for: Forecasting in Non-stationary Environments with Fuzzy Time Series

description: The datasets consist of four stock market indices (Dow Jones, NASDAQ, SP500 and TAIEX), three FOREX pairs (EUR-USD, EUR-GBP, GBP-USD), two cryptocoins exchange rates (Bitcoin-USD and Ethereum-USD) and eight synthetic time series with concept drifts. The market indexes data sets contain the daily averaged index by business day, such that the Dow Jones Industrial Average (Dow Jones) is sampled from 1985 to 2017 time window, the Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX) is sampled from 1995 to 2014, the National Association of Securities Dealers Automated Quotations - Composite Index (NASDAQ ÎXIC) is sampled from 2000 to 2016 and the SP500 - Standard & Poor's 500 is sampled from 1950 to 2017. The FOREX data sets contain the daily averaged quotations, by business day, from 2016 to 2018, which pairs are the US Dollar to Euro (USD-EUR), Euro to Great British Pound (EUR-GBP) and Great British Pound to US Dollar (GBP-USD). The cryptocoin datasets contain the daily quotations, in US Dollar, of the Bitcoin (BTC-USD) and Ethereum (ETC-USD). The synthetic data aims to represent different types of concept drifts.
DOI: 10.17632/wyfvwd4s22
title: Data for: Revised estimates of Taung's brain size growth

description: Datasets for McCarthy RC, Zimel E. Revised estimates of Taung's brain size growth. S Afr J Sci. 2020;116(7/8), Art. #5963, 7 pages. https://doi.org/10.17159/sajs.2020/5963 * Dataset 1 ('Taung_gr_data.xlsx'): Data used to calculate growth curves for Gorilla beringei (GBERI), Pan troglodytes (PTROG), and two samples of Homo sapiens (HSAP1, HSAP2) [.xls file]; * Dataset 2 ('Taung_cv_data.xlsx'): Data used to calculate coefficients of variation for historical A. africanus samples [.xlsx file]; * Dataset 3 ('Taung_dev_sim.csv'): Data used to calculate developmental simulations [.csv file].
DOI: 10.17632/xxkkkbx3hg
title: Modeling pH and temperature effects as climatic hazards in Vibrio vulnificus and Vibrio parahaemolyticus planktonic growth and biofilm formation

description: This study aimed to better understand the potential effects of temperature and pH on V. vulnificus and V. parahaemolyticus planktonic and biofilm growth. Vibrio strains were grown in triplicate at 25°C, 30ºC, and 37ºC in 96 well plates containing Modified Seawater Yeast Extract modified with CaCl2 at pH’s ranging from 5 to 9.6. AMiGA software was used to model growth curves using Gaussian process regression. The effects of temperature and pH were evaluated using randomized complete block analysis of variance, and V. parahaemolyticus and V. vulnificus growth rates were modeled using the interpolation fit on the MatLab Curve Fitting Toolbox. Different optimal conditions involving temperature and pH were observed for planktonic and biofilm Vibrio growth within- and between-species. This study showed that temperature and pH factors significantly affect Vibrio planktonic growth rates and Vibrio parahaemolyticus biofilm formation.

Vv_Planktonic_SPSS_All: All V. vulnificus strains for planktonic growth rates and statistics
Vv_Biofilm_SPSS_All: All V. vulnificus strains for biofilm growth rates and statistics
Vp_Planktonic_SPSS_All: All V. parahaemolyticus strains for planktonic growth rates and statistics
Vp_Biofilm_SPSS_All: All V. parahaemolyticus strains for biofilm growth rates and statistics
DOI: 10.6084/m9.figshare.21696938.v1
title: CPPa9rfo

description: StrinViz inputs and outputs of [9+1]CPP generated by Gaussian09 geometry optimization using B3LYP/6-31G(d,p) and "opt=rfo NoSymm" as keywords.
DOI: 10.17632/5d8k5bkb93
title: Multi-instance vehicle dataset with annotations captured in outdoor diverse settings

description: We collected and annotated a dataset containing 105,544 annotated vehicle instances from 24700 image frames within seven different videos, sourced online under creative commons license. The video frames are annotated using DarkLabel tool. In the interest of reusability and generalisation of the deep learning model, we consider the diversity within the collected dataset. This diversity includes changes of lighting amongst the video, as well as other factors such as weather conditions, angle of observation, varying speed of the moving vehicles, traffic flow, and road conditions etc. The videos collected obviously include stationary vehicles, to perform the validation of stopped vehicle detection method. It can be noticed that the road conditions (e.g., motorways, city, country roads), directions, data capture timings and camera views, vary in the dataset producing annotated dataset with diversity. the dataset may have several uses such as vehicle detection, vehicle identification, stopped vehicle detection on smart motorways and local roads (smart city applications) and many more.
DOI: 10.17632/664t5kcn7p
title: Design and Evaluation of Custom Intermixers for extrusion of blended PLA Using Machine Learning

description: The following data supports the manuscript titled "Design and Evaluation of Custom Intermixers for extrusion of blended PLA Using Machine Learning" submitted to "Virtual and Physical Prototyping", which details the following abstract:
"Uniform blending in multi-material extrusion is crucial for ensuring consistent material properties in additive manufacturing. This study evaluates the performance of five static mixer designs, Split Path, Helix Array, Full Turn Helix, Half Moon, and Cross Bars, integrated into a coaxial extrusion system for enhancing the blending of multi-colored PLA (polylactic acid) pellets. Each mixer was tested using a 50/50 mixture of red and blue PLA under controlled extrusion conditions at 210°C. Mixing performance was assessed through microscopic imaging and machine learning-based analysis, including histogram evaluation, clustering algorithms, and standard color uniformity indices. Results showed that the Split Path and Full Turn Helix mixers provided the most uniform color distribution, with minimal segregation. In contrast, the Helix Array, Half Moon, and Cross Bars designs produced moderate to inconsistent mixing, showing visible streaking and uneven blending. All mixer configurations, however, significantly outperformed the control (no mixer) setup. These findings offer quantitative insights into the effectiveness of various mixer geometries, providing a basis for optimizing mixing strategies in multi-material 3D printing. The study contributes to the development of more reliable extrusion systems for applications such as functionally graded materials, flexible electronics, and advanced polymer composites."
DOI: 10.17632/jr24sjxhvs
title: Data for: Experimental data for thermal conductivity and dielectric properties of wood and wood-based materials

description: Experimental data for thermal conductivity and dielectric properties of solid wood and some wood-based materials.
DOI: 10.17632/k5x2bsf27m
title: MCGPU-PET: An open-source real-time Monte Carlo PET simulator

description: Monte Carlo (MC) simulations are commonly used to model the emission, transmission, and/or detection of radiation in Positron Emission Tomography (PET). In this work, we introduce a new open-source MC software for PET simulation, MCGPU-PET, which has been designed to fully exploit the computing capabilities of modern GPUs to simulate the acquisition of more than 100 million coincidences per second from voxelized sources and material distributions. The new simulator is an extension of the PENELOPE-based MCGPU code previously used in cone-beam CT and mammography applications. We validated the accuracy of the accelerated code by comparing it to GATE and PeneloPET simulations achieving an agreement within 10 percent approximately. As an example application of the code for fast estimation of PET coincidences, a scan of the NEMA IQ phantom was simulated. A fully 3D sinogram with 6382 million true coincidences and 731 million scatter coincidences was generated in 54 s in one GPU. MCGPU-PET provides an estimation of true and scatter coincidences and spurious background (for positron-gamma emitters such as 124I) at a rate 3 orders of magnitude faster than CPU-based MC simulators. This significant speed-up enables the use of the code for accurate scatter and prompt-gamma background estimations within an iterative image reconstruction process.
DOI: 10.17632/xf36jr3j6c
title: Problematic Internet Use (PIU), Emotional Dysregulation, and Emotional Reactivity of Twitter Users

description: This data were taken from three psychological measurements named are Generalized Problematic Internet Use Scale 2 (GPIUS2), Emotional Reaactivity Scale (ERS), General Emotion Dysregulation Measure (GEDM), and demograhic data from three hundreds and seven participants which collected via online survey in Indonesia.
DOI: 10.6084/m9.figshare.29128223.v1
title: Elizabethkingia_meningoseptica_NCBI_data

description: <b>Genomic Analysis of </b><b>Elizabethkingia meningoseptica</b><b>: Insights into Molecular and Pan-genomic Characteristics</b>
DOI: 10.6084/m9.figshare.9974357.v3
title: Distributed coding of choice, action, and engagement across the mouse brain

description: Data from "Distributed coding of choice, action, and engagement across the mouse brain" by Nicholas A. Steinmetz, Peter Zatka-Haas, Matteo Carandini, Kenneth D. Harris, Nature 2019. https://doi.org/10.1038/s41586-019-1787-x<br><b>ONE interface</b><br><br><i>UPDATE: September 2nd, 2021. The ONE interface has been updated. Users of the previous version are invited to redownload the archive and follow the instructions below.</i><br>The data can be easily searched and loaded in Python using the ONE interface. The API may be installed via pip:<br><br>pip install ONE-api<br>Notes about the data format : https://github.com/nsteinme/steinmetz-et-al-2019/wiki/data-files<br>To search and download this dataset:<br>from one.api import Oneone = One(cache_dir='./9974357') # The location of the unarchived datasessions = one.search(dataset='trials') # search for all sessions that have a `trials` objectsession = sessions[0] # take the first sessiontrials = one.load_object(session, 'trials') # load the trials objectprint(trials.intervals) # trials is a Bunch, values are NumPy arrays or pandas DataFramesprint(trials.goCue_times)<br>For further documentation, see https://int-brain-lab.github.io/iblenv/03_one.html
DOI: 10.6084/m9.figshare.14374151.v1
title: Perrig et al. 2021_Supporting Data

description: δ<sup>13</sup>C and δ<sup>15</sup>N isotopic ratios of individually identified molted feathers of adult Andean condors (<i>Vultur gryphus</i>) and their potential prey items in 6 sites of central Argentina. Further details of the data can be found in the associated publication: <br>Perrig et al. 2021. Limited sexual segregation in a dimorphic avian scavenger, the Andean condor. https://doi.org/10.1007/s00442-021-04909-8<br>
DOI: 10.6084/m9.figshare.5708338.v1
title: Aggregate data for the article "Characterizing the Field of Atomic Layer Deposition: authors, topics, and collaborations"

description: Aggregate data for the article "Characterizing the Field of Atomic Layer Deposition: authors, topics, and collaborations". The article explores the evolution of ALD research over time using bibliometric, network, and text analysis.<br><br>Fig 1. Number of papers and journals that publish ALD research, and percentage among SCIE papers and journals.<br>Fig 2. Number of distinct authors who publish ALD research, number of authors who publish ALD research for the first time, and ratio of new and distinct authors.<br>Fig 3. Average number of collaborators per author per year. <br>Fig 4. Number of nodes of the largest component of the ALD collaboration network; Relative size of the largest component; Average path length.<br>Fig 5. Evolution of component sizes of the ALD collaboration network over time. Variables: year, numberOfNodes (number of nodes of a component), numberOfComponents (number of components that have a particular size) and relativeSize.<br>Fig 7. Percentage of ALD papers containing a specific word pertaining to broad types of materials in their titles<br>Fig 8. Percentage of ALD papers containing a specific word pertaining to materials that are likely to be grown by ALD in their titles.<br>Fig 9. Percentage of ALD papers containing a specific word pertaining to substrate materials in their titles.<br>Fig 10. Percentage of ALD papers containing a specific word pertaining to applications of ALD in their titles.<br>Fig 11. Percentage of ALD papers containing a specific word pertaining to the type of study or process in their titles.<br>Fig 12. Percentage of ALD papers containing words that start with nano in their titles.<br>
DOI: 10.6084/m9.figshare.9202097.v1
title: Coastal CH4 Review Data

description: Data from "Synthesis of methane emissions from vegetated coastal ecosystems" published in Global Change Biology. Included 97 studies. Metadata describing all of the columns from the CH4ReviewData_.. is present in All data R Metadata.xslx.
DOI: 10.17632/4zzcjh93zg
title: Climate change adaptation in coastal cities of developing countries
DOI: 10.17632/sjzkm9hfmc
title: Advancing Communication Competencies in Nursing Practice: A Multifaceted Exploration

description: This article presents an in-depth exploration of communication competencies in nursing practice, spanning diverse dimensions such as cultural competence, crisis communication, technological integration, empathy, person-centered care, and interdisciplinary collaboration. By synthesizing insights from various disciplines, this comprehensive review offers a nuanced understanding of communication challenges, strategies, and implications in nursing practice. Through collaborative efforts and continuous professional development, nurses can elevate their communication competencies, enhance patient outcomes, and contribute to the advancement of quality care delivery.
DOI: 10.17632/6pyh35bjmx
title: [LUT_HST]_FIRI

description: This is the Mendeley Data link to the main repository of LUT University's High-Speed Machine Datasets FIRI machine [LUT_HST]_FIRI. These datasets are related to a high-speed machine that are suspended by active magnetic bearings (AMBs). More details can be found in the original repository in Harvard Dataverse (https://dataverse.harvard.edu/dataverse/luthstdata). This dataset contains of the description files (DF), which contains the metadata of the shared datasets in Harvard Dataverse.
DOI: 10.17632/kx2y3pff8p
title: Lecture recording in middle school science classrooms

description: Objective: Lecture recordings, or pre-recorded lecture videos, are widely used tools in both formal and informal learning contexts. Extensive empirical research across various subjects has demonstrated their comparable effectiveness to face-to-face instruction. However, most studies focus on college students, predominantly adult learners, with limited attention to younger students. Findings from adult learners may not directly apply to K-9 students due to their distinct cognitive and emotional development.
Methods: This study addresses this gap by conducting a controlled experiment to compare learning outcomes between lecture recordings and face-to-face instruction among 8th-grade physics students (N = 336). 
Results: The results align with the well-known "no significant difference" conclusion from adult studies, showing that learning outcomes from video and face-to-face instruction were equally effective, even for younger learners. Moreover, students' prior knowledge did not affect their learning outcomes or self-assessed understanding. However, students with lower prior knowledge reported greater confidence after face-to-face instruction.
DOI: 10.17632/xd3h454tvd
title: ASR indigenous language Kotiria

description: This dataset includes a Kotiria language model (kotiria_model.pt) for ASR inference, accompanied by a phoneme dictionary (dict.ltr.txt) and a lexicon (lexicon.txt)
DOI: 10.17632/yghykzm4km
title: Indoor Fire Dataset with Distributed Multi-Sensor Nodes (Industrial Hall)

description: The dataset contains 4 incipient fire scenarios (wood, candles, cable, lunts) along with 8 different nuisance scenarios (smoke from a fog machine, deodorant, ethanol, CO release, exhaust gases, green waste, welding, and abrasive cutting) carried out in a (10 x 22 x 8)m^3 industrial hall without ventilation. Each scenario was repeated 3 times in random with background sequences in between to reduce the influence of prehistory. The dataset consists of 248,502 rows and 18 columns and is structures as a continuous multivariate time series. Each row represents the sensor measurements (CO2, CO, H2, humidity, particulate matter of different sizes, air temperature, VOC and UV) from a unique sensor node position ("Sensor_ID") in the industrial hall at a specific timestamp. The columns correspond to the sensor measurements and include additional labels: a scenario-specific label ("scenario_label"), a binary label ("anomaly_label") distinguishing between "Normal" (background) and "Anomaly" (fire or nuisance scenario), a "fire_label" intersecting the anomalies into fire-relevant or non-fire-relevant anomalies and a progress label ("progress_label") that allows for dividing the events into sub-sequences based on ongoing physical sub-processes. The "Sensor_ID" column can be utilized to access data from different sensor node positions.
DOI: 10.17632/zf5km66s6h
title: Data for: US Exports and Employment

description: Replication package for Robert Feenstra, Hong Ma and Yuan Xu, "US Exports and Employment", Journal of International Economics (final draft).
DOI: 10.6084/m9.figshare.16585985.v1
title: Supplementary Material for: The Relationship between the Tissue Expression of TLR2, TLR4, TLR5, and TLR7 and Systemic Inflammatory Responses in Colorectal Cancer Patients

description: <b><i>Background:</i></b> Colorectal cancer (CRC) is the third most commonly diagnosed malignancy globally. CRC patients with elevated plasma C-reactive protein (CRP) levels exhibit compromised prognoses. Toll-like receptors (TLRs), activating the innate and adaptive immune systems, may contribute to pro- and antitumorigenic inflammatory responses. We aimed to identify a possible link between local and systemic inflammatory responses in CRC patients by investigating the association between tissue TLRs and plasma CRP. <b><i>Methods:</i></b> Tissue expressions of TLR2, TLR4, TLR5, and TLR7 were assessed using immunohistochemistry of tissue microarray slides from 549 CRC patients surgically treated between 1998 and 2005. Blood samples were drawn preoperatively, centrifuged, aliquoted, and stored at −80°C until analysis. Plasma CRP was determined through high-sensitivity time-resolved immunofluorometric assay. We investigated the association of TLRs to clinicopathologic variables, plasma CRP, and survival. <b><i>Results:</i></b> High TLR2 expression (hazard ratio [HR] 0.59; 95% confidence interval [CI] 0.41–0.85; <i>p</i> = 0.005), high TLR5 expression (HR 0.60; 95% CI 0.45–0.83; <i>p</i> = 0.002), positive TLR7 expression (HR 0.49; 95% CI 0.33–0.72; <i>p</i> &lt; 0.001), and low CRP (HR 1.48; 95% CI 1.08–2.11; <i>p</i> = 0.017) were associated with a better prognosis. A high TLR2 immunoexpression was associated with a better prognosis among low-CRP patients (HR 0.53; 95% CI 0.35–0.80; <i>p</i> = 0.002), high TLR4 expression among high-CRP patients (HR 2.04; 95% CI 1.04–4.00; <i>p</i> = 0.038), high TLR5 expression among low-CRP patients (HR 0.059; 95% CI 0.37–0.92; <i>p</i> = 0.021), and positive TLR7 expression among low-CRP patients (HR 0.53; 95% CI 0.28–1.00; <i>p</i> = 0.049). In multivariate analyses, no biomarkers emerged as significant independent variables. <b><i>Conclusions:</i></b> High tissue TLR2, TLR5, and TLR7 levels were associated with a better prognosis. Among low-CRP patients, those with high TLR2, TLR5, and TLR7 immunoexpressions exhibited a better prognosis. Among high CRP patients, a high TLR4 immunoexpression was associated with a better prognosis.
DOI: 10.6084/m9.figshare.28513313.v1
title: Digital Economy18-22.xlsx

description: This database provides detailed data on various indicators of China's digital economy development from 2018 to 2022, as well as household consumption, marketization index, and provincial-level industrial index.
DOI: 10.6084/m9.figshare.28815266.v1
title: Results of Models for Nowcasting of Typhoon-Induced Storm Surge

description: Accurate storm surge prediction is critical for coastal safety and disaster preparedness. This study evaluated the performance of machine learning (ML) models in the nowcasting (0–3h lead time) of tropical cyclone (TC)-induced storm surges, with a focus on the role of sea level autocorrelation. Choosing study area as Quarry Bay Station in Hong Kong during 257 TCs (1968–2021), seven ML models—including Multi-Layer Perceptron (MLP), Recurrent Neural Networks (RNN, LSTM, GRU), Transformer, and XGBoost—were developed and compared. Input variables encompassed historical surge levels, TC characteristics (e.g., central pressure, wind speed), and local meteorological factors (wind speed, atmospheric pressure).
DOI: 10.17632/3hspb73m79
title: Automatic classification of cichlid behaviors using 3D Convolutional Residual Networks. Lijiang Long

description: This dataset contains 14172 short video clips which recorded cichlids behaviors including feeding and bower building. Along with the clips, there is an annotation file 'AnnotationFile.csv' where each video clip is annotated by an experienced human observer. In short, each video clip was classified into one of the ten categories: Bower scoop (c), Bower spit (p), Bower multiple (b), Feeding scoop (f), Feeding spit (t), Feeding multiple (m), Spawn/quiver (s), Sand dropping (d), Other (o), Shadow/reflection (x).
DOI: 10.5522/04/28360370.v1
title: Melechov PhD ELN Open Source Mycetoma

description: Electronic Laboratory Notebook from the PhD work of Dmitrij Melechov at the School of Pharmacy, UCL. The ELN is, at the time of deposition, online at https://tinyurl.com/MycetosDmitrij. This file is a zipped "offline copy" in case the primary source becomes unavailable. The project is part of Open Source Mycetoma, led by Prof Matthew Todd at UCL, which may be found at https://github.com/OpenSourceMycetoma. The aim of the overall project is to discover new small molecule drug leads for the treatment of a neglected tropical disease of the skin, eumycetoma. The file is a compressed zipped file of the laboratory notebook. It is viewable in any web browser. The majority of the content consists of descriptions of experiments in synthetic organic chemistry, and the ELN pages contain the associated data, such as 1H NMR spectroscopy and mass spectrometry, but also observations about the chemical reactions. At the time of deposition, the work is being incorporated into a research publication.
DOI: 10.17632/5h3565w2p7
title: Nucleosomal asymmetry shapes histone mark binding and promotes poising at bivalent domains. Bryan et al.

description: This repository contains uncropped Western blot and microscopy images for the manuscript "Nucleosomal asymmetry shapes histone mark binding and promotes poising at bivalent domains". See manuscript for details.
DOI: 10.6084/m9.figshare.12971549.v1
title: OpenArray genotyping for Anopheles funestus

description: Original OpenArray hybridization-based genotypes for 238 <i>Anopheles funestus</i> specimens at 28 tag SNPs within inversions 3Ra and 3Rb.<br>
DOI: 10.6084/m9.figshare.28368629.v1
title: Data and figures of 'Sub-footprint atmospheric spatial inhomogeneity effect on geostationary hyperspectral infrared sounder radiance simulation'

description: Data and figures of 'Sub-footprint atmospheric spatial inhomogeneity effect on geostationary hyperspectral infrared sounder radiance simulation'
DOI: 10.6084/m9.figshare.29154953.v1
title: Data of Figure in journal "Comparative analysis of NMOS-/PMOS-Based 3D Fe-NAND Using TCAD simulation"

description: Taebaek Lee & Changhwan Shin2025Data of Figure in journal "Comparative analysis of NMOS-/PMOS-Based 3D Fe-NAND Using TCAD simulation"<br>