cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21341730.v1
title: Data S1 for Aerosol Iron Solubility Specification in Global Marine Atmosphere with Machine Learning

description: Data S1：Dataset of aerosol Fe solubility simulated by the DLNN model based on the contents of total Fe, sulfate, nitrate, and oxalate in aerosol particles, the particle size, and air relative humidity in the ranges of actual atmosphere worldwide. The concentration range of total Fe in global aerosols is 0.1-86000 ng m<sup>-3 [1-5]</sup>. In the preparation of the dataset, the whole range are divided into six intervals with different increments according to the occurrence frequency of total Fe concentration in aerosols, namely, 0.1-1 ng m<sup>-</sup><sup>3</sup> with an increment of 0.1 ng m<sup>-3</sup>; 1-10 ng m<sup>-3</sup> with an increment of 1 ng m<sup>-3</sup>; 10-200 ng m<sup>-3</sup> with an increment of 10 ng m<sup>-3</sup>; 200-1000 ng m<sup>-3</sup> with an increment of 100 ng m<sup>-3</sup>; 1000-2000 ng m<sup>-3</sup> with an increment of 500 ng m<sup>-3</sup>, and 2000-86000 ng m<sup>-3</sup> with an increment of 2000 ng m<sup>-3</sup>. The concentration ranges of sulfate and nitrate in aerosol particles are 0-110 μg m<sup>-3</sup> and 0-70 μg m<sup>-3</sup>, respectively, and the maxima are the average concentrations observed under severe haze conditions in the city of Xi'an in China<sup> [6]</sup>. The increment for both salts is 5 μg m<sup>-3</sup>. The range of oxalate is 0-2 μg m<sup>-3</sup>, and its maximum is the maximum value from observations in Qingdao, China<sup>[7]</sup>. The size range of particles has nine intervals: ≤0.43, 0.43–0.65, 0.65–1.1, 1.1–2.1, 2.1–3.3, 3.3–4.7, 4.7–7.0, 7.0–11, and &gt;11 μm, and the corresponding particle size was set 0.1, 0.54, 0.875, 1.6, 2.7, 4.0, 5.85, 9.0, 55.5 μm, respectively. Relative humidity is 10-100% with an increment of 5%. Considering all combinations of the values of the six factors, Fe solubility in each case was simulated by the DLNN model constructed in the paper “Aerosol Iron Solubility Specification in Global Marine Atmosphere with Machine Learning”. The dataset includes 59,053,994 sets of data and the total size is about 2.3 G. All data is stored in 60 separated files.csv. Fe solubility in this dataset is simulated by the DLNN model trained using Qingdao data, which is applicable to most worldwide seas and margin areas except the Atlantic Ocean. The simulated Fe solubility over the Atlantic Ocean is available from authors. References [1] Sholkovitz et al. Geochimica et Cosmochimica Acta, 2012,89:173-189. [2] Takahashi et al. Atmospheric Chemistry and Physics, 2013,13(15):7695-7710. [3] Longo et al. Environmental science & technology, 2016,50,6912–6920. [4] Mahowald et al. Nature communications, 2018,9(1). DOI:10.1038/s41467-018-04970-7 [5] Shelley et al. Biogeosciences, 2018,15(8):2271-2288. [6] Shen et al. Atmospheric Environment, 2009,43(18):2911-2918. [7] Zhang et al. Environmental Science, 2018,39(4):1512-1519 (in Chinese with English abstract).
DOI: 10.6084/m9.figshare.24081015.v1
title: Isolation of a widespread giant virus implicated in cryptophyte bloom collapse

description: Photosynthetic cryptophytes are ubiquitous protists that are major participants in the freshwater phytoplankton bloom at the onset of spring. Mortality due to change in environmental conditions and grazing have been recognized as key factors contributing to bloom collapse. In contrast, the role of viral outbreaks as factors terminating phytoplankton blooms remains unknown from freshwaters. Here, we isolated and characterised a cryptophyte virus contributing to the annual collapse of a natural cryptophyte spring bloom population. This viral isolate is also representative for a clade of abundant giant viruses (phylum <i>Nucleocytoviricota</i>) found in freshwaters all over the world.
DOI: 10.6084/m9.figshare.25623783.v1
title: Cervical Cancer Data.xlsx

description: A pre and post test evaluation of the knowledge on cervical cancer of high schools girls in Ghana following an educational intervention
DOI: 10.17632/9fjdffm63v
title: Study of RIPK4 promotes epidermal differentiation through phase separation and activation of LATS1/2. Xiaolei Cao et al

description: The asymmetric divisions of keratinocytes along the basement membrane establish a stratified epidermis. Inactivating mutations of Receptor interacting serine/threonine kinase 4 (RIPK4) cause human developmental syndromes characterized by defective epidermal differentiation. While the Hippo pathway is crucial in limiting organ size, emerging evidence suggests that it also plays additional roles in differentiation. In this study, we identify RIPK4 as an alternative upstream kinase of LATS1/2 in the Hippo pathway through screening a kinome library. Knocking out Ripk4 results in activation of Hippo pathway effectors Yap/Taz in the mouse granular layer, which subsequently represses cholesterol biosynthesis. Furthermore, the ablation of Yap/Taz partially rescues skin barrier defects. Mechanistically, RIPK4 directly phosphorylates LATS1/2 after recruiting them into liquid condensates. Disease-derived RIPK4 mutants exhibit defects in LATS1/2 activation either due to impaired kinase activity or disrupted phase separation. Our findings demonstrate that a RIPK4-initiated noncanonical Hippo pathway plays a specific role in epidermal differentiation.
DOI: 10.15468/dl.vcre9z
title: Occurrence Download

description: A dataset containing 48260 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Primula veris L.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 48260 records from 239 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013389-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/vfz5pz4n8k
title: Datasets of captured images of 3 different devices for photogrammetry calculation comparison and integration to a laser scan point cloud

description: The present data article aims to provide the whole dataset obtained during an experiment of updating laser scan point clouds with photogrammetry meshes. It was investigated whether photos from smartphones are also appropriate for updating point clouds by using photogrammetry in a factory environment. The photos (369) taken in 08:30 min with the smartphone were taken with the App 645 PRO Mk III with the settings ISO 250, F-Stop 1.8, Shutterspeed 1/125 sec. The result was that photos from current smartphones (here tested: iPhone XS) are suitable for photogrammetry applications. Main component are the comparison of the datasets of three devices: Nikon D810 with Sigma art 24mm, iPhone 6 and iPhone XS. In this repository one dataset (photos in .TIFF) of the iPhone XS is provided. The test environment was a technical room in a factory. The data sets are used for a photogrammetry comparison. Furthermore, all settings in the RealityCapture BETA 1.0 and Meshroom 2019 2.0 software are provided. A comparison of calculation time and quality of the 3D meshes was performed. The data set of the iPhone XS can be used to compare further photogrammetry software or single algorithms. Besides the images, the point clouds of the laser scanner are provided. This also includes the combination of laser scan point cloud and photogrammetry mesh. This data in brief article is published as an co-submission of the paper "Approach for an Update Method for Digital Factory Models" in the Procedia CIRP CMS 2020. Conclusions and further information can be found in this paper.
DOI: 10.6084/m9.figshare.14125814.v1
title: README

description: README file describing dataset
DOI: 10.6084/m9.figshare.24679689.v1
title: Distance TMEM119 - vessels 4X light sheet.xlsx

description: Quantification of the distance between TMEM119 cells and vessels in GL261-DsRED tumors at D21 and D28 with or without SMg treatment.Images were generated by a light sheet microscope after brain clearing. Images were analzed with imaris software
DOI: 10.6084/m9.figshare.7492556.v1
title: Wolbachia density whole flies and tissues, by qPCR

description: Column headers correspond to the type of host (Species), the age of the fly (Age), type of tissue (Tissue), the Ct values for the Wolbachia gene wsp and the control fly gene Actin5C (2 technical replicates for each).
DOI: 10.6084/m9.figshare.7580588.v1
title: Additional file 2: of Biofilm production by Haemophilus influenzae and Streptococcus pneumoniae isolated from the nasopharynx of children with acute otitis media

description: Supplementary Data S2: Different cut-offs used to determine the biofilm production by H. influenzae: the different cut-offs used were as followed where AB represented the stained wells containing attached bacteria, CW the stained control wells containing bacteria-free medium only and G the bacterial growth control i) AB – CW: strong production &gt; 0.30, moderate production 0.10–0.30, negative 6, moderate production 2–6, negative 1.10, moderate production 0.35–1.10, negative
DOI: 10.17632/h7pzk98nms
title: Database of stress intensity factor solutions

description: Database of stress intensity factor solutions
DOI: 10.17632/vn55rxxw8y
title: Cyclical Rs-A-Rsh I-V Curve Fitting MATLAB program with I-V curve experimental measurements

description: Measurement datasets are attached in Microsoft workbook format, entitled as: 1)Mono70W 999 Irradiance 2)Poly70W 1000 Irradiance which are the experimentally measured I-V curves for both mono- and poly- crystalline silicon PV modules. The datasets are obtained by connecting the PV Analyzer towards the targetted PV module, placing the PV module directly under the sun, in which such experiment is conducted in the afternoon. The generated reports from the PV Analyzer's software are filtered, and two of the datasets are selected to present in this paper. Other than the measured specification of the PV module, the datasets also consist three columns of data, which are the voltage, current and power. By plotting these data points accordingly towards x- and y- axis, the experimentally measured I-V and/or P-V curve is obtained. Total of 2 main programs developed through MATLAB platform are attached, entitled as: 1)IV_Curve_Characterization_Proposed_Model 2)IV_Curve_Characterization_Traditional_Model which are the I-V curve fitting parameterization algorithm respectively for proposed and traditional mathematical model. The rest of the .m files are coded to complement the features provided in the main programs. The program entitled "WinOnTop" is obtained from https://www.mathworks.com/matlabcentral/fileexchange/42252-winontop, thus cited as: Igor (2020). WinOnTop (https://www.github.com/i3v/WinOnTop), GitHub. Retrieved June 6, 2020. By executing the programs in MATLAB, press the "Load File" button to select the I-V curve dataset. The user can adjust the Rs, A, and Rsh parameters by pressing the interface button, or pressing the "Auto" button to execute the Cyclical Rs-A-Rsh parameterization algorithm that programmed by the author targeting the objective of minimizing the MAEP error between measured and modeled I-V curve. While the three parameters are adjusting, the information will be updated accordingly. When the "Auto" curve-fitting is completed, a report can be generated showing the successive MAEP iteration throughout the curve fitting if the user presses the "OK" button on the generated window. A folder entitled "Result" is attached, including four .m files and eight .fig files, which all of these are presented in the result section of the paper. Two main programs entitled: 1)MAEP_Plotter_Mono 2)MAEP_Plotter_Poly are attached to compare the obtained results. Comparisons are made between the traditional and proposed mathematical models.
DOI: 10.6084/m9.figshare.14605770.v1
title: raw_data_uDNA_paper.txt

description: Sample: name of the sampled individual site: sampled sitekDNA: number of copies of Tetracapsuloides bryosalmonae DNA detected in fish kidney divided by the number of copies of Salmo trutta DNA detected in the same sampleuDNA_qPCR: Relative concentration of Tetracapsuloides bryosalmonae DNA found with the uDNA method and qPCR amplificationuDNA_ddPCR: Concentraton of Tetracapsuloides bryosalmonae DNA found with the uDNA method and ddPCR amplification Time_in_bucket: the time spent by the fish in the bucket filled with mineral water (in minutes)Fish_size: Size of the fish (mm)Fish_mass: Mass of the fish (g)Gross_lesions_score: Score of proliferative kidney disease (PKD) gross lesions after macroscopic examination of the kidney, spleen and gills of the sampled fish. 0: no sign of PKD, 3: very high PKD suspicion<br>
DOI: 10.6084/m9.figshare.16578191.v1
title: kinect

description: This directory contains the data acquired from two Microsoft Kinect v2 sensors. The files are in .mat format and each row in the files corresponds to three-dimensional skeleton information captured from each of the two Kinects at a given point in time. Basically, the kinect sensor data is provided as velocity-time profile which has been measured from the Kinect skeleton data over a period of time. This dataset also contains other information such as the activity being performed, timestamp in milliseconds, experiment number, person id, and room id. More details on the Kinect system and structure of the Kinect data are available in the "Methods" and "Experiment Directory" sections of the Data Descriptor, respectively.
DOI: 10.6084/m9.figshare.28892186.v1
title: <b>Resting ECG Segmentation Dataset</b>

description: <b>Resting ECG Segmentation Dataset (RDB)</b> is a fully annotated, 12-lead resting-state ECG corpus built for waveform‐level delineation research.<br><b>Origin</b> – RDB is a derivative of the large, open ChapmanECG arrhythmia database (Zheng et al., 2020).<b>Scope</b> – 2 399 recordings, each 10 s long, sampled at 500 Hz.<b>Annotations</b> – Every record is labelled for P-waves, QRS complexes and T-waves on <b>all 12 leads</b>. Initial marks were placed by trained physicians and subsequently reviewed and refined by senior cardiologists; each lead was annotated independently to preserve lead-specific morphology.<b>Rhythm diversity</b> – The set spans atrial fibrillation (AF), atrial flutter (AFL), atrial tachycardia (AT), supraventricular tachycardia (SVT) and multiple sinus irregularities, providing rich morphological variation for robust model training.The combination of high-quality beat-level labels and broad rhythm coverage makes RDB a strong benchmark for developing and evaluating ECG segmentation algorithms that must generalise across diverse clinical presentations.<br>Citations：Zheng W. et al., “A 12‑lead ECG Database for Arrhythmia Classification.” <i>Data in Brief</i> 24 (2020): 103838. DOI: 10.1016/j.dib.2019.103838.<br>Liu Y. et al., “Y‑Net‑ECG: A Multi‑Lead Informed and Interpretable Architecture for ECG Segmentation Across Diverse Rhythms.” <i>Expert Systems with Applications</i> (in press, 2025). DOI: https://doi.org/10.1016/j.eswa.2025.127955.
DOI: 10.6084/m9.figshare.14401289.v1
title: PM+ Refugee Pilot Data

description: This data presents the full dataset for the pilot study for the STRENGTHS trial of Problem Management Plus (PM+) in refugees
DOI: 10.6084/m9.figshare.21390960.v1
title: Input data for modeling

description: The dataset consists of 33 fed-batch shake flask cultivations with different experimental conditions, which were generated in: J. Möller, K. B. Kuchemüller, T. Steinmetz, K. S. Koopmann, R. Pörtner, <em>Bioprocess Biosyst. Eng.</em> <strong>2019</strong>, <em>42</em>, 867.
DOI: 10.6084/m9.figshare.24603390.v1
title: <b>Statistical visualization and analysis of spatial patterns: Generalization of Kulldorff's framework</b>

description: The program permits us to visualize and analyze the lifespan of restaurants in Shibuya-ku, Tokyo.
DOI: 10.6084/m9.figshare.13489344.v1
title: Murray et al Dataset 201226.sav

description: Online questionnaire study exploring thought suppression and self-compassion as serial mediators of the relationship between adult attachment orientation and depressive symptoms.
DOI: 10.6084/m9.figshare.16864273.v7
title: QALD-9-Plus

description: QALD-9-Plus is the dataset for Knowledge Graph Question Answering (KGQA) based on well-known QALD-9.<br>QALD-9-Plus enables to train and test KGQA systems over DBpedia and Wikidata using questions in 8 different languages.<br>Some of the questions have several alternative writings in particular languages which enables to evaluate the robustness of KGQA systems and train paraphrasing models.<br>As the questions' translations were provided by native speakers, they are considered as "gold standard", therefore, machine translation tools can be trained and evaluated on the dataset.<br>Please, see also the GitHub repository: https://github.com/Perevalov/qald_9_plus
DOI: 10.6084/m9.figshare.26889796.v1
title: Graph Data.csv

description: Data for a project investigating flow over confined cylinders
DOI: 10.6084/m9.figshare.3568935.v1
title: Supplement 2. MATLAB codes for the DEB model for holometabolous insects. Script 2.

description: File List predict_Venturia_canescens.m (MD5: c9084a5d7c3e837851f3fc64cd626db8) Description The Matlab file predict_Venturia_canescens.m contains the code to estimate the DEB parameters from the data included in mydata_Venturia_canescens.m file (supplement 1). It uses the Dynamic Energy Budget theory to get predictions on the growth trajectories of the larval and pupal stage of the endoparasitoid <i>Venturia canescens</i>, the number of eggs laid by the imago through time, and several lifespan events such as the different developmental times of the parasitoid.
DOI: 10.6084/m9.figshare.12616598.v1
title: Data: Limited evidence for a consistent seed mass-dispersal trade-off in wind dispersed pines

description: Data associated with the manuscript:<br>Wyse, S.V. & Hulme, P.E. (2020) Limited evidence for a consistent seed mass-dispersal trade-off in wind dispersed pines. Journal of Ecology. DOI: 10.1111/1365-2745.13477<br>
DOI: 10.6084/m9.figshare.13194707.v1
title: CTX DEM index

description: Index of CTX images used to generate DEM of martian dunes in Coprates Chasma.
DOI: 10.6084/m9.figshare.19596442.v1
title: Chapter 6 Appendix 6.S1, J. Saarinen.xlsx

description: First and last occurrences, body mass estimates and averaged dietary categoris of Proboscidea from the late Oligocene to present from Africa and Eurasia. The first and last occurrrences are based on literature sources that are listed in the table. The body mass estimates are based on limb bone measurements (Christiansen, 2004), occipital condyle widths (Jukar et al., 2018) and molar measurements (new methods introduced for the purpose of this dataset, see the main text of Huang et al. (2023)). The dietary categories are based on NOW-database data complemented with new information from recent paleodietary research (Saarinen and Lister, in review). <br> References: -Christiansen, P. (2004). Body size in proboscideans, with notes on elephant metabolism. Zoological Journal of the Linnean Society, 140, 523–549. -Huang, S., Eyres, A., Fritz, S.A., Eronen, J.T., Saarinen, J. (2023). Chapter 6 - Environmental Change and Body Size Evolution in Neogene Large Mammals.In: Casanovas-Vilar, I., Van den Hoek Ostende, L., Janis, C.M. and Saarinen, J. (eds.) Evolution of Cenozoic land mammal faunas and ecosystems - 25 years of the NOW database of fossil mammals. Springer. -Jukar, A.M., Lyons, S.K., & Uhen, M.D. (2018). A cranial correlate of body mass in proboscideans. Zoological Journal of the Linnean Society, 184, 919–931. -Saarinen, J., Lister, A.M. (in review). Adaptive trends and the evolutionary ratchet: how elephants learnt to eat grass. Communications Biology (in review 16.3.2023) <br>
DOI: 10.6084/m9.figshare.26613464.v1
title: Additional file 1 of Heritability and recursive influence of host genetics on the rumen microbiota drive body weight variance in male Hu sheep lambs

description: Additional file 1: Table S1. Diet and Animal cohort information. Table S2. Prevalence (detection rates) and mean relative abundance of rumen microbiota genera in a single large-scale homogeneous population-based cohort of 1,150 sheep. Table S3. Keystone taxa (rumen microbiota genera) in a single large-scale homogeneous population-based cohort of 1150 sheep. Table S4. The microbial alpha diversity indices and beta diversity. Table S5. Heritability of rumen microbiota. Table S6. Single nucleotide polymorphisms (SNPs) information. Table S7. Genome-wide association of sheep genetic and rumen microbial variations. Table S8. Heritability and Microbiability of Body Weight Traits in Sheep. Table S9. microbiome-wide association study (MWAS). Table S10. GWAS for sheep body weight at 180 days old. Table S11. Microbiota mediated indirect scenarios. Table S12. 'recursive' scenarios.
DOI: 10.6084/m9.figshare.14471250.v3
title: Data extraction

description: <i>Outcome harvesting</i>