cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.11583/dtu.13603631.v1
title: Coarse-grained MARTINI force fields

description: Models for the P3HT and PffBT4T-2OD polymer donors and the O-IDTBR small-molecule acceptor for organic solar cells based on the coarse-grained MARTINI force field. Includes stand-alone force field files (.itp) and structure files (.gro) for the GROMACS molecular dynamics software. These are part of the collection found at https://doi.org/10.11583/DTU.c.5254236.<br>
DOI: 10.17632/87jzcw54yk
title: Scheler et al COVID19_Pregnancy_Brasil-2020 and 2021

description: Secondary database extracted from SIVEP-GRIPE and containing data on pregnant or non-pregnant women with ARDS / COVID-19 in Brazil
DOI: 10.17632/ktyksxb5nr
title: Dummy dataset of CoViD-19 clinical parameters

description: Dummy dataset of the clinical parameters of the CoViD-19 CXR dataset (Soda et al., 2021) that can be used for training MERGE: a multi-input neural network for biomedical applications.
DOI: 10.17632/zzpt5yfvr7
title: Data for: Refinement of Source Term and Atmospheric Dispersion Simulations of Radionuclides during the Fukushima Daiichi Nuclear Power Station Accident

description: The database was generated by the atmospheric dispersion simulations using the optimized source term of the Fukushima Daiichi Nuclear Power Station accident. It consists of 960 data files in the NetCDF format, including horizontal 2-D distributions of air concentration in the surface layer and surface deposition (total deposition, dry deposition, wet deposition, and fog deposition) of radionuclides (total 131I, 131I chemical species (I2, CH3I, and particulate iodine), 134Cs, 137Cs, and 132Te), horizontal wind components, rain intensity, and ground elevation in two calculation domains (local: 190 × 190 km2 area with a 1 km resolution, regional: 570 × 570 km2 area with a 3 km resolution) for hourly output times from 16:00 UTC on March 11 (01:00 JST on March 12) to 15:00 UTC on March 31 (00:00 JST on April 1), 2011 (480 output times).
DOI: 10.6084/m9.figshare.14510913.v1
title: CASF-2016 dataset prepared for DeepDock evaluation

description: CASF-2016 data used to evaluate DeepDock. The file contains information of 285 protein ligand complexes extracted from CASF-2016. They have been preprocessed using MaSSIF and are ready to be used as input using Pytorch geometric. The target is represented by a mesh, each node contains 4 physchem properties. The ligand is represented as a 2D graph where node features represent atom type and edge features represent bond types.
DOI: 10.6084/m9.figshare.23575752.v1
title: High-resolution high-accuracy orthophoto map and digital surface model of Forni Glacier tongue (Central Italian Alps) from UAV photogrammetry

description: This work presents the high-resolution high-accuracy orthophoto map and the Digital Surface Model of Forni Glacier (Italian Alps). These represent the status of the glacier tongue in mid-August 2022 when surveys were carried out with a DJI Phantom 4 RTK drone. The processing was carried out in Leica Infinity, and a 3 cm orthomosaic and a 20 cm Digital Surface Model were generated and made available for analysis of the current status of the glacier, which shows signs of downwasting, with the occurrence of collapsing areas and a rapidly changing proglacial landscape. This work can also be used as a reference to investigate the glacier evolution, also in light of climate change. Accuracy requirements of the deliverables were ensured by combining Post Processed Kinematic and Structure from Motion integrated with bundle block adjustment, and using Ground Control Points and Check Points, to guarantee redundancy and evaluate the geolocation accuracy and precision.
DOI: 10.6084/m9.figshare.29061524.v1
title: Sanger sequencing results

description: Sanger sequence data obtained from 25 subjects for<i> A</i><i>DH1B</i>/<i>ALDH2</i> SNP genotyping.
DOI: 10.6084/m9.figshare.6061298.v2
title: Data from WMLES of a flat-plate TBL using unstructured grids

description: This dataset accompanies the following publication.<br><b>Mukha, T., Johannson, M., Liefvendahl, M. Effect of wall-stress model and mesh-cell topology on the predictive accuracy of LES of turbulent boundary layer flows. In ECCM-ECFD 2018, Glasgow, UK.</b><br>The dataset consists of simulation data and the two computational meshes the simulations employ.<br>The data is located in the data.zip file. It contains the "VTK" folder that holds full 2D fields of the unknowns, averaged in the spanwise direction. The format is multi-block VTK data, that can be natively read with such software as Paraview and turbulucid.Additionally, several computed quantities are provided as text files. This includes, the skin friction coefficient, the wall shear stress and others. The naming convenction is that Paved and Poly corresponds to data from simulations on the paved and polyhedral grids, respectively. And 1st and 3rd refers to the location of the sampling point of the WMLES mesh.<br><br>The meshes.tar file contains the two meshes -- paved and polyhedral -- which are stored in OpenFOAM format.<br><br>For more information about the simulations, refer to the article. Please cite it, if you use the data.<pre><br></pre>
DOI: 10.6084/m9.figshare.9747911.v1
title: Data set for study on intelligence and gender inequality

description: 89 countries
DOI: 10.48420/24771504.v1
title: Acetone NMR data

description: Raw, unprocessed NMR spectra obtained in d-acetone
DOI: 10.6084/m9.figshare.11823087.v1
title: Ecoli K12 MG1655 R10.3 HAC

description: Ecoli K12 MG1655 DNA sequenced<br>Platform: Nanopore MinION<br>Library kit: LSK109<br>Flowcelltype: R10.3<br>Basecaller: Guppy v. 3.4.5Basecallermode: HAC<br>md5sum: 14ae7c31805ab048e0b413261857d82f<br>Original fast5 data https://www.ebi.ac.uk/ena/data/view/PRJEB36648
DOI: 10.6084/m9.figshare.27085900.v1
title: Data from: Benthic cyanobacterial mat formation during severe coral bleaching at Lizard Island: the mediating role of water currents

description: This data record contains data associated with the publication:Tebbett SB, Streit RP, Morais J, Schlaefer JA, Swan S, Bellwood DR (2022) Benthic cyanobacterial mat formation during severe coral bleaching at Lizard Island: the mediating role of water currents. Marine Environmental Research 181:105752. doi: 10.1016/j.marenvres.2022.105752In this study we examined cyanobacterial mat distribution during a severe coral bleaching event at Lizard Island (Great Barrier Reef, Australia). This study was based on the cover of cyanobacterial mats, and other benthic components, from inside 1 m<sup>2</sup> photoquadrats (n = 349). The photoquadrats were spread across 19 transects around Lizard Island and photoqaudrats were fixed (i.e. the same areas were repeatedly sampled/photographed). Photoquadrats were repeatedly sampled at six points in time between February 2016 and January 2021, with particularly focused sampling (three times in 2016) around the severe coral bleaching event that affected Lizard Island in 2016. Photoquadrats were analysed to determine benthic cover of major benthic components, under 40 randomly stratified points in each photoquadrat, using the software photoquad V_1_4. The CSV file in this dataset contains the raw benthic cover data analysed in this paper. The numbers under each benthic component in the dataset relate to the number of points that fell on that component in each quadrat.For full methodological details (including details/data on water currents), please see the published manuscript and associated supporting information (outlined above).
DOI: 10.6084/m9.figshare.27308154.v2
title: Supplementary Material

description: <b>Supplemental Table S1: </b>Ingredients and chemical composition of lactation diets fed to cows (DM basis, %).<b>
</b><b>Supplemental Table S2: </b>Primer sequences of the genes<b>
</b>
DOI: 10.6084/m9.figshare.c.3643244_d4.v1
title: Additional file 3 of The flora phenotype ontology (FLOPO): tool for integrating morphological traits and phenotypes of vascular plants

description: Missing PATO classes. A list of missing classes in the PATO ontology identified by our study. (TXT 4 kb)
DOI: 10.6084/m9.figshare.12058065.v10
title: Solar wind in situ data suitable for machine learning (python numpy structured arrays): STEREO-A/B, Wind, Parker Solar Probe, Ulysses, Venus Express, MESSENGER

description: These are solar wind in situ data arrays in python pickle format suitable for machine learning, i.e. the arrays consist only of numbers, no strings and no datetime objects.<br><br>See AAREADME_insitu_ML.txt for more explanation.<br>If you use these data for peer reviewed scientific publications, please get in touch concerning usage and possible co-authorship by the authors (C. Möstl, A. J. Weiss, R. L. Bailey, R. Winslow, A. Isavnin, D. Stansby): christian.moestl@oeaw.ac.at or twitter @chrisoutofspace <br>Made with https://github.com/cmoestl/heliocats <br><br>Load in python with e.g. for Parker Solar Probe data:<br>&gt; import pickle&gt; filepsp='psp_2018_2021_sceq_ndarray.p'&gt; [psp,hpsp]=pickle.load(open(filepsp, "rb" ) ) <br>plot time vs total field&gt; import matplotlib.pyplot as plt&gt; plt.plot(psp['time'],psp['bt'])<br><br>Times psp[:,0 ] or psp['time'] are in matplotlib format. Variable 'hpsp' contains a header with the variable names and units for each column. Coordinate systems for magnetic field components are RTN (Ulysses), SCEQ (Parker Solar Probe, STEREO-A/B, VEX, MESSENGER), HEEQ (Wind)<br>available parameters:<br>bt = total magnetic fieldbxyz = magnetic field componentsvt = total proton speedvxyz = velocity components (only for PSP)np = proton densitytp = proton temperaturexyz = spacecraft position in HEEQr, lat, lon = spherical coordinates of position in HEEQ<br><br><br><br>
DOI: 10.6084/m9.figshare.1290675.v1
title: Gaussian Job Archive for C21H23N3O3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.13655975.v10
title: Characteristics of volunteers

description: Description of the volunteers including age, sex, height and others anthropometric data.<br>A complete description of the volunteers can be found on figshare ID(13655975) at https://doi.org/10.6084/m9.figshare.13655975.v9Complete dataset of C3D files for OsteoArthritis Patients can be found on figshare ID(14420645) at https://doi.org/10.6084/m9.figshare.14420645.v2Complete dataset of C3D files or healthy volunteers can be found on figshare ID(14420756) at https://doi.org/10.6084/m9.figshare.14420756.v2 <br>Arff files could also be downloaded on figshare (https://doi.org/10.6084/m9.figshare.15022827.v1 and https://doi.org/10.6084/m9.figshare.13656233.v4) with label details here (https://doi.org/10.6084/m9.figshare.13656047.v3)
DOI: 10.6084/m9.figshare.20999758.v1
title: Erect-crested penguin data from 1998

description: Data from 1998 study of Erect-crested penguins on Antipodes Islands.
DOI: 10.6084/m9.figshare.23607573.v1
title: patient24.rar

description: A Patient with fundus images that taken by Ret-cam.
DOI: 10.6084/m9.figshare.26356276.v3
title: RoF SIA data

description: Data and code from Jackson et al: <b>Warming reduces trophic diversity in high-latitude food webs</b>
DOI: 10.6084/m9.figshare.29002475.v2
title: 2.6. X2 Cronbach's Alpha Pre-test (Output Data) - Doomscrolling and Information Overload on Generation Z: Examining the Link Between Excessive Digital Media Consumption and Stress Level

description: Pre-test analysis X2 variable (information overload) results using IBM SPSS Statistics 26 for research title "Doomscrolling and Information Overload on Generation Z: Examining the Link Between Excessive Digital Media Consumption and Stress Level".
DOI: 10.6084/m9.figshare.5666683.v1
title: Application of Response Surface Modeling and Chemometrics Methods for the Determination of Ofloxacin in Human Urine Using Dispersive Liquid-Liquid Microextraction Combined with Spectrofluorimetry

description: Dispersive liquid-liquid microextraction (DLLME) and spectrofluorimetry, coupled with chemometrics methods, are proposed in this work for the pre-concentration and determination of ofloxacin concentration in spiked human urine. Chloroform and acetonitrile were selected as the extraction and dispersive solvents by the one-variable-at-a-time process. The Box-Behnken design was used to optimize the other variables, including the volume of extraction and dispersion solvents, solution pH, and ionic strength. A linear calibration curve was obtained in the 5.0-120.0 ng mL-1 range under optimal conditions with a detection limit of 1.61 ng mL-1 and correlation coefficient of 0.9948. A relative standard deviation (RSD) of 1.13% was obtained for seven consecutive replicates. Parallel factor analysis (PARAFAC) and partial least square (PLS) modeling were applied for the multivariate calibration of the spectrofluorimetric data. To pre-process the data matrices and predict the model results, the orthogonal signal correction (OSC) was used, and the analysis results were statistically compared. The methods accuracy values for ofloxacin determination, evaluated by the root mean square errors of prediction (RMSEP) and relative standard error of prediction (RSEP), were 0.82 and 1.12 using OSC-PLS, and 0.31 and 0.42 using OSC-PARAFAC models, respectively. Ofloxacin can be reliably determined in human urine samples through the proposed procedure, according to the results.
DOI: 10.6084/m9.figshare.27863913.v2
title: Statistical analysis of nonlinear interactions between chorus and electron cyclotron harmonic waves

description: Sample information for "Statistical analysis of nonlinear interactions between chorus and electron cyclotron harmonic waves"
DOI: 10.6084/m9.figshare.16983499.v1
title: Post-Processed DNA Methylation Data

description: Processed data for well-covered CpG triplets WGBS data from 121 experimental replicates representing 77 unique biological samples, publicly available from ENCODE. These replicates include clinical tissue samples, cell lines, and primary cells. We selected replicates using single-end reads which were not flagged by ENCODE as having low coverage or insufficient read length. The list of the sample identifiers is found in ENCODE_IDs.xlsx. Each replicate is associated with a BAM file generated by mapping reads to GRCh38 using Bismark. We used the MethPipe methylation software suite to convert BAM files into MethPipe format and generate epiread files, an efficient format reporting the genomic index and methylation status of each CpG contained in a read. Within each biological replicate, we used the epireads file generated to extract data from ``well-covered'' triplets. After discarding reads which reported a CpG with ambiguous methylation status, we considered a triplet well-covered within a replicate if all three CpGs are jointly covered by at least $100$ reads from that sequencing run. Across all 121 replicates, we found $650,152$ well-covered triplets, representing $75,212$ unique loci total. For each autosome in each sample we estimated the exchangeable weight of each well-covered triplet and corrected for estimator bias using a sample mean of N=1000 full bootstrap resamples. Although each estimate of a triplet's exchangeable weight $\hat\lambda$ lies in $[0,1]$, the bias-adjusted estimate $(\hat\lambda-\bar{\hat\lambda^*})$ may be larger than $1$ or smaller than $0$. Therefore we truncate these estimates to $[0,1]$. The tsv files here contain processed triplets corresponding to each BAM file ID. Each row corresponds to a well-covered triplet, with columns corresponding to 1) chromosome number, 2) index of the first CpG in the triplet on the chromosome, 3) position of the first CpG in the triplet on the chromosome, 4) position of the nearest transcription start site, 5) distance between the triplet centroid and nearest transcription start site, 6) an estimate of the total variation distance to the class of exchangeable distributions, 7) an estimate of the exchangeable weight of the triplet (bias-corrected), 8) a bootstrap estimate of the standard deviation of $\hat\lambda$, 9-16) the counts of each of the $8$ possible triplet configurations (ordered lexicographically, i.e. `000', `001', etc.), and 17-24) an estimate of the largest exchangeable component<br>
DOI: 10.6084/m9.figshare.19125809.v1
title: Supplementary Data and Code: Infrastructure Inequalities in India and South Africa

description: This repository contains data and code accompanying the analysis for infrastructure inequalities in India and South Africa.
DOI: 10.6084/m9.figshare.23160137.v2
title: Supplementary material of ITF in eastern Indian Ocean

description: Oxygen and carbon isotopes, Mg/Ca ratios and depth of thermocline data for the last 160 kyr in the eastern Indian Ocean
DOI: 10.6084/m9.figshare.24635193.v1
title: readme.md

description: Information on the individual files.
DOI: 10.6084/m9.figshare.26807974.v3
title: Traction Elevator Predictive Maintenance

description: The condition monitoring data for a passenger traction elevator, encompassing 1,416 real-time samples of time, speed, acceleration, and vibration, was collected using the LattePande Dashboard Kit across various scenarios. This time-series data is valuable for anomaly detection and can be leveraged in unsupervised machine-learning applications. Dataset Date "4/21/2024". Please cite following article:<br>Ozdmir S, N. Neamah O, Bayir R. Enhanced safety and efficiency in traction elevators: A real-time monitoring system with anomaly detection. <i>Artif. Intell. Auton. Syst.</i><i> </i>2025(1):0000, https://doi.org/10.55092/aias20250001.
DOI: 10.6084/m9.figshare.3560112.v1
title: Appendix F. Examples of the simple Lotka-Volterra model.

description: Examples of the simple Lotka-Volterra model.
DOI: 10.15468/dl.7uk8ud
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argentina silus (Ascanius, 1775)",
 "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 ((9.7509 37.8496,8.9648 37.5879,8.9648 28.8496,17.9648 28.8496,17.9648 31.4107,15.9933 31.8399,15.7087 32.5876,15.3783 32.8575,13.447 33.3951,12.448 33.3201,11.5958 33.6971,11.3566 34.2292,11.7126 34.4306,11.838 34.8337,11.4958 36.0284,11.2722 36.2509,11.6203 36.7533,11.5006 37.3226,11.1934 37.5676,10.5795 37.5806,9.7509 37.8496))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013375-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.22188223.v1
title: Gamification data

description: Data are related to a survey addressed to GenZ investigating the percetions about the use of gamification by online retailers
DOI: 10.6084/m9.figshare.25329973.v1
title: ZENGFANG LIN - DATA (sample size 265).csv

description: This study examines the relationships between English teachers' Technological Pedagogical and Content Knowledge, Technological Self-Efficacy, and Behavioral Intentions to use mobile technology in teaching in the context of Chinese higher education with the Technology Acceptance Model as the theory framework. Our main findings suggest that language teachers' knowledge and confidence in successfully adopting mobile technology into English education significantly impact their acceptance and adoption of it at the tertiary level in China.
DOI: 10.6084/m9.figshare.3527192.v1
title: Appendix C. Boosted tree examples in R.

description: Boosted tree examples in R.
DOI: 10.6084/m9.figshare.5462500.v1
title: Learning multilingual named entity recognition from Wikipedia

description: This is the data associated with Joel Nothman, Nicky Ringland, Will Radford, Tara Murphy and James R. Curran (2013), "Learning multilingual named entity recognition from Wikipedia", <i>Artificial Intelligence</i> 194 (DOI: 10.1016/j.artint.2012.03.006). A preprint is included here as wikiner-preprint.pdf<br>This data was originally available at http://schwa.org/resources (which linked to http://schwa.org/projects/resources/wiki/Wikiner).<br>The .bz2 files are NER training corpora produced as reported in the Artificial Intelligence paper. wp2 and wp3 are differentiated by wp3 using a higher level of link inference. They use a pipe-delimited format that can be converted to CoNLL 2003 format with system2conll.pl.<br>nothman08types.tsv is a manual classification of articles first used in Joel Nothman, James R. Curran and Tara Murphy (2008), "Transforming Wikipedia into Named Entity Training Data", In <i>Proceedings of the Australasian Language Technology Association Workshop 2008</i>. http://aclanthology.coli.uni-saarland.de/pdf/U/U08/U08-1016.pdf<br>popular.tsv and random.tsv are manual article classifications developed for the Artifiical Intelligence paper based on different strategies for sampling articles from Wikipedia in order to account for Wikipedia's biased distribution (see that paper). scheme.tsv maps these fine-grained labels to coarser annotations including CoNLL 2003-style.<br>wikigold.conll.txt is a manual NER annotation of some Wikipedia text as presented in Dominic Balasuriya and Nicky Ringland and Joel Nothman and Tara Murphy and James R. Curran (2009), in <i>Proceedings of the 2009 Workshop on The People's Web Meets NLP: Collaboratively Constructed Semantic Resources</i> (http://www.aclweb.org/anthology/W/W09/W09-3302).<br><br>See also corpora produced similarly in an enhanced version of this work work (Pan et al., "Cross-lingual Name Tagging and Linking for 282 Languages", ACL 2017) at http://nlp.cs.rpi.edu/wikiann/.
DOI: 10.6084/m9.figshare.8317079.v2
title: Global Atmospheric Rivers (Historic and Future)

description: This data set include netcdf (.nc) and matlab (.mat) files of the CMIP5 and ERA-Interim data used to calculate this study. The data are global AR frequency and intensity (IVT) maps, for the historic records as well as the future simulations (RCP45 and RCP85).<br>Atmospheric rivers (ARs) are narrow jets of integrated water vapor transport that are important for the global water cycle, and also have large impacts on local weather and regional hydrology. Uniformly-weighted multi-model averages have been used to describe how ARs will change in the future, but this type of estimate does not consider skill or independence of the climate models of interest. Here, we utilize information from various model averaging approaches to evaluate 21 global climate models from the Coupled Model Intercomparison Project Phase 5 (CMIP5). Model ensemble weighting strategies based on atmospheric river model independence and performance skill relative to reanalysis data (ERA-Interim) result in lower uncertainties in the future estimates compared to the equal weighting strategy. These weighted models show that the frequency of ARs is expected to increase by the end of the century, with high certainty, by ~50% on average globally.<br><br><br>
DOI: 10.6084/m9.figshare.20961091.v1
title: Source data.xlsx

description: Source data for Unveiling Weyl-related optical responses in semiconducting tellurium by mid-infrared circular photogalvanic effect