cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24565135.v2
title: Malaria model outputs (LMM and VECTRI). Talib et al., 2024

description: Two climate-sensitive dynamical malaria models, the Liverpool Malaria Model (LMM) and Vector-Borne Disease Community Model of the International Centre for Theoretical Physics (VECTRI), are used to investigate the effect of explicitly representing convection on simulated malaria transmission. Both models are driven by the same climate variables: daily-accumulated precipitation; and daily-mean near-surface (2 m) air temperature. Whilst the LMM can only be used to investigate the climate suitability for malaria transmission, VECTRI also considers the impact of surface hydrology and population density.In addition to driving malaria models with observations, we perform a set of malaria transmission experiments using climate model outputs from Met Office Unified Model (MetUM) pan-African simulations. The MetUM is a non-hydrostatic model with a semi-implicit, semi-Lagrangian dynamical core. Full details of the model specifications and setup are provided by Stratton et al., 2018 and Kendon et al., 2019.To compare differences in simulated malaria transmission when using observations or climate model data, we perform three historical simulations for each malaria model. These simulations are either driven by observations, CP4 or R25 historical data, and enable us to understand the sensitivity of simulated malaria transmission to observed and model input data. For both VECTRI and the LMM, we also perform a set of simulations using future climate model data. The use of future climate model simulations enables us to investigate the effect of explicitly representing convection in both present and future climates. In particular, it enables us to assess whether explicitly representing convection changes predictions of malaria transmission. To isolate the importance of differences in simulated temperature and precipitation when changing the representation of convection, we perform simulations with either temperature or precipitation sourced from CP4, with the remaining variable sourced from R25. We also perform sensitivity experiments with which we only use precipitation or temperature from the future climate. Whilst we note that precipitation and temperature are not independent of each other, sensitivity experiments enable an initial understanding of the key drivers responsible for differences in malaria predictions. Due to limited computational resources, sensitivity experiments are only performed using the LMM.Given substantial errors in simulated precipitation and temperature in both climate model configurations, we also perform LMM experiments driven with bias-corrected, linearly-scaled simulation data. For temperature and precipitation data, we applied an additive and relative adjustment respectively. The use of linear-scaling only corrects time-mean biases, hence, variability errors still persist.
DOI: 10.6084/m9.figshare.28882226.v1
title: Supplementary Material for: Association between Acute Kidney Injury and Dementia: A Multi-database Cohort Study

description: Background: With the aging of population, dementia has emerged as a major public health concern, imposing a heavy society burden. However, the relationship between acute kidney injury (AKI) and the risk of dementia remains uncertain.
Methods: A total of 1,256,756 participants from the China Renal Data System (CRDS) database and 492,250 individuals from the UK biobank (UKB) dataset were included in the study. The study investigated the associations between acute kidney injury and and the onset of dementia. The exposure of interest was AKI. The outcome in both the CRDS and UKB cohorts was dementia.
Results: The CRDS cohort identified 7,878 patients with new-onset dementia, while the UK Biobank (UKB) recorded 9,926 dementia cases during follow-up. AKI showed a significant association with the risk of dementia in both the CRDS (adjusted HR: 1.22; 95%CI: 1.13-1.30, P &lt; 0.001) and UKB cohorts (adjusted HR: 1.64; 95%CI 1.29-1.98, P = 0.005). In the CRDS cohort, patients with more severe AKI (stage 2-3 AKI) (aHR: 1.25; 95%CI 1.09-1.42, P = 0.008) exhibited a higher adjusted HR for dementia compared to those at AKI stage 1 (aHR: 1.21; 95%CI 1.11-1.30, P &lt; 0.001). The association between AKI and dementia remained consistent across different subgroups in both cohorts.
Conclusion: Our findings demonstrated that AKI was associated with an elevated risk of all-cause dementia. Consequently, patients with history of AKI episodes necessitate vigilant monitoring for prevention of dementia.
DOI: 10.6084/m9.figshare.11965269.v4
title: Celligner data

description: We developed a computational method (Celligner) that identifies and removes systematic differences between cell lines and tumor gene expression profiles, allowing for direct integration of existing large-scale cancer cell line and tumor datasets. Celligner performs this computational alignment across cancer types in a completely unsupervised fashion, without relying on prior annotations of cancer types, tumor sample purity, or contaminating cell expression profiles. We applied Celligner to produce a global alignment of 12,236 tumor samples from TCGA, TARGET, and Treehouse datasets and 1,249 cell lines from DepMap.<br> This dataset includes Celligner-aligned data, a matrix of correlations between cell lines and tumors, associated cell line and tumor metadata, and other outputs from the Celligner method. See Readme file for more details about the dataset contents and version history.
DOI: 10.6084/m9.figshare.26036284.v1
title: Lampetra morii-full length.zip

description: The full-length dataset of Lampetra morii
DOI: 10.6084/m9.figshare.5693083.v1
title: Data Journal Policies on Deposition and Citation

description: This short paper provides a snapshot of the current status of data journals within the scholarly publishing landscape. The authors highlight the disparate approaches among data journal publishers as to data management and citation, summarised as findings from a survey of a sample of data journals and provides recommendations for future work/further analysis.
DOI: 10.17632/mkky9snd4c
title: Database of mixing properties of the binaries (dibromomethane+an alkyl alkanote, or +an alkane)

description: A dataset on mixing properties of binaries containing dibromomethane with alkanes or alkyl alkanoates, measured at 298.15 K and atmospheric pressure, are presented. This dataset will be used by the authors for its modeling and interpretation through the corresponding publication.
DOI: 10.6084/m9.figshare.16947952.v1
title: manuscript-data.docx

description: <b>Supporting evidence</b>
DOI: 10.6084/m9.figshare.13607444.v1
title: Finding the Exact Value of the Maximum Allowable Upper Bound of the Delay Parameters in the Multiple-Delays LTI Systems

description: These files are related to the following paper: -R. Abolpour, M. Dehghani, "Finding the Exact Value of the Maximum Allowable Upper Bound of the Delay Parameters in the Multiple-Delays LTI Systems," Journal of Vibration and Control, 2023 The dataset contains details of 10 systems in Example 2 and the results of the proposed method compared to other two previous methods in the literature. The dataset is a mat file which can be opened by Matlab and gives the details of ten systems and the upper bound of delay. t0 gives the details of our proposed method. t1 shows the result of the following paper: Lee, W.I., Lee, S.Y. and Park, P., 2018. Affine Bessel–Legendre inequality: application to stability analysis for systems with time-varying delays. <em>Automatica</em>, <em>93</em>, pp.535-539.<br> t2 presents the result of the following paper: Zeng, H.B., He, Y., Wu, M. and She, J., 2015. Free-matrix-based integral inequality for stability analysis of systems with time-varying delay. <em>IEEE Transactions on Automatic Control</em>, <em>60</em>(10), pp.2768-2772.<br>
DOI: 10.17632/ctnkbpsdbd
title: Nahariya Canyon

description: Supplementary data for the manuscript: 'Glacial-Holocene variability in sediment accumulation and erosion along submarine blind canyons: a case study from Eastern Mediterranean Sea' by Moshe et al. (Marine Geology)
DOI: 10.6084/m9.figshare.29163797.v1
title: checkpoints and sample datasets for FloodMapper, an unsupervised flood mapping agent

description: checkpoints and sample datasets for FloodMapper, an unsupervised flood mapping agent code repo: https://github.com/Iceofsky/FloodMapperunzip the content and place the folders in the root of the repo.
DOI: 10.6084/m9.figshare.1276399.v1
title: The Amsterdam Chess Test: a psychometric analysis of chess expertise.

description: Journal paper
DOI: 10.6084/m9.figshare.19682880.v1
title: Data simulations B-vitamins

description: Datasets generated for Molina-Venegas et al. 2022. Significant phylogenetic signal is not enough to predict B-vitamin profiles. <br>
DOI: 10.6084/m9.figshare.27620517.v2
title: Experiment 1

description: This is the dataset used to create Figure 11 in "Potential Ice Sheet Modulation of Volcanism in West Antarctica: Constraints on the cadence and magnitude of melt delivery into the crust"
DOI: 10.17632/jfdxfkhjy2
title: Evaporation of levitating microdroplets containing nanoparticles: luminescent Gd2O3:Er3+, illumination with 805 nm laser from below via optical fiber

description: Microdroplets of suspension were levitated in a linear quadrupole trap and studied similarly as described e.g. in Y. Shopa et al., JQSRT 296 (2023), but illumination with an 805 nm diode laser (CW, ~1.5 W), which excited luminescence by up-conversion, was provided (vertically) from below via a 200 micrometer-core fiber for circularization. Its polarization was p. In some experiments, the droplet was additionally illuminated with a 512 nm diode laser with p polarisation. The suspended phase consisted of nanoparticles of Gd2O3:Er3+ of several concentrations. The continuous phase consisted of diethylene (2EG). Ther was also experiment on pure tetraethylene (4EG) glycol for comparison. In several experiments the 805 nm laser power was modulated. The data is divided into the folders correspondingly. Two groups of spectral lines were (usually) visible (green (stronger) and red). We followed the temporal evolution of several selected lines, both in luminescence and in scattering at right angle (usually 538, 548, 553, 562, 633, 654, 661, 675, 682, 783, 806 nm): files *-Spectra.csv, where * (in hh_mm_ss format) always denotes the time of measurement file creation. Simultaneously the shadow image of the droplet was recorded (non-coherent light, 633 nm LED) - in some cases, a movie: *_Shadow-*.avi is provided. The droplet radius was measured by fitting an ellipse to the shadow edge. The ellipse parameters temporal evolution are stored in *-Shadow.pdf files: time, mean diameter (mean of the ellipse axes), long axis rotation, X and Y of the centre, long and short axis, border length, X and Y of “the centre of mass” of the border, fitting error. The microdroplet's vertical position was stabilised with a DC field. The corresponding voltage variation and other stabilisation system parameters are stored in *.csv files: KeyStab: 0 – stabilisation off, 2 – on, k_PID – proportionality parameter of the software voltage regulator, freq – trapping AC field frequency. In some cases, partially concurrently light was collected at a right angle with a PMT for the green 512 or 806 nm laser. The photon count rate is stored in *-CRM.csv files. Time stored in corresponding files was synchronised. In-focus movies (see readme.txt for details) of the evaporating microdroplet were recorded for certain experiments to illustrate its evolution – no synchronisation is available. It must be kept in mind that the observed image is for the most part laser speckle. The "Laser on/off" pertains to the 806 nm laser. Further details can be found in the readme.txt files in the corresponding folder. (No)_th_spectrum.csv represents the ith recorded spectrum from the corresponding experiment. The parameters of the Gd2O3:Er3+ samples can be found in the .ppt file.
DOI: 10.6084/m9.figshare.23652324.v2
title: GrapeImagesDataSet.zip

description: The data set consists of 1600 grape images in RGB color space belonging to one healthy and three disease classes Black-measles, Black-rot, Leaf-blight, and Healthy-leaf
DOI: 10.6084/m9.figshare.28654691.v1
title: Phoradendron Velutinum UAV Multispectral and RGB Dataset with Segmentation Masks

description: This dataset contains co-registered multispectral and RGB aerial images of <i>Phoradendron velutinum</i> (true mistletoe), acquired using a DJI Phantom 4 Multispectral UAV over the San Bartolo Ameyalco Conservation Area in Mexico City. Each image sample includes a five-band multispectral image (.TIF), an RGB image (.JPG), and an expert-annotated binary segmentation mask (.PNG) indicating mistletoe presence. 250 curated image tiles (300 x 300 px) are distributed across five folders. The dataset was first described and used in the scientific article: Mejía-Zuluaga et al. (2022), <i>Remote Sensing</i>, 14(3), 801 (https://doi.org/10.3390/rs14030801). It supports research in remote sensing, vegetation monitoring, and developing machine learning models for plant-parasite detection. Image preprocessing includes radiometric and geometric corrections, and band co-registration using SURF feature matching. Segmentation masks were created from GPS-referenced field samples and manual photointerpretation. This is the first public release of the dataset.
DOI: 10.6084/m9.figshare.6280001.v1
title: Additional file 1: of Lifestyle choices and mental health: a longitudinal survey with German and Chinese students

description: Complete_dataset. Complete data set of Chinese and German students. (XLS 5085 kb)
DOI: 10.6084/m9.figshare.9905351.v1
title: Anonymized WhatsApp Group Conversations - Metadata

description: Five anonymized dataset of metadata for messages in WhatsApp Group related to Politics, Vegetaniarism, Lerning English language, and Theology, with timestamp and username columns. (names are not real)
DOI: 10.17632/mt6rzbsf6p
title: Dataset for Comparing Daytime Sleepiness in Parkinson Disease by Narcolepsy HLA DQB1 Risk and Protective Alleles

description: Data on daytime sleepiness in patients with Parkinson disease, narcolepsy HLA DQB1 risk and protective alleles and dopaminergic drug use. The data was collected in a convenience sample of 150 participants with Parkinson disease from Albany Medical Center, Albany, New York. Data available for each participant includes demographic data, past medical history, medications, the Unified Parkinson Disease Rating Scale, Schwab and England scale, Hoehn and Yahr scale, the Montreal Cognitive Assessment, the modified Epworth Sleepiness Scale, the Parkinson Disease Sleep Scale version 2, the Mayo Sleep questionnaire (select questions). Dopaminergic drugs are expressed are levodopa equivalent daily dosage. All participants were genotyped for narcolepsy DQB1 risk alleles. A data dictionary is included.
DOI: 10.6084/m9.figshare.11416950.v2
title: CONUS-wide LCZ map and Training Areas

description: This dataset contains the CONUS-wide LCZ map and Training areas, produced within Demuzere et al. (2020), <i>Combining expert and crowd-sourced training data to map urban form and functions for the continental US</i>. Nature Scientific Data.<br>The readme.txt files provides a full description of the dataset.
DOI: 10.6084/m9.figshare.14482791.v1
title: Leaf Spot Data

description: Data refer to the following published manuscript:<br>Denwar, N. N., C. E. Simpson, J. L. Starr, T. A. Wheeler, and M. D. Burow. (2021) Evaluation and Selection of Interspecific Lines of Groundnut (Arachis hypogaea L.) for Resistance to Leaf Spot Disease and for Yield Improvement. Plants 2021, 10, x. https://doi.org/10.3390/xxxxx.<br><br><br>Combined Ghana Data contains early and late leaf spot scores, calculated AUDPC, and pod yield data for two years and two locations. The file is a space-delimited ASCII text file (CPM/DOS/OS2/Windows EOL characters [0x0D 0x0A]).<br><br>Five files contain data used to calculate time to 50% of plants having either early or late leaf spots, as well as the calculated value of days to 50% infection. Each year/location/disease is a separate file. Again, files are space-delimited ASCII text files.<br>CalcIP6 is the program used to calculate time to 50% infection. The C source code and the DOS/Windows executable file are provided (requires NTVDM 16-bit support to run under MS-Windows, or will run under DOSBOX under 64-bit Windows).<br><br><br><br>
DOI: 10.6084/m9.figshare.1507542.v1
title: Permeability for Columbia River Basalt Group, USA

description: Hydraulic conductivity estimatesfor CRBG aquifers were taken from the USGS National Water Information System (NWIS) database (Kahle et al. 2011) and converted to permeability estimates using temperature estimates from the nearest temperature profile log (Fig. 2). Temperature was estimated by using a best linear fit to the 100 m of borehole temperature log closest to the depth of the aquifer test. Viscosity and density were estimated as a function of temperature, and hydraulic conductivity was converted to permeability by multiplying by viscosity and dividing by the product of density and the gravitational acceleration constant (Fetter 1994, p. 96). Bulk permeability was computed using the layered system approximation (the arithmetic mean), assuming that the aquifer occupies 10% of the total thickness and that the permeability of the lava flow interiors is negligibly small. The detailed CRBG aquifer transmissivity estimates of Spane (2013) were also converted to estimated permeability (Fig. 4). First, estimated transmissivity was converted to bulk hydraulic conductivity by dividing by 30 m or the open length of the borehole, whichever was longer. Short open boreholes were assumed to test individual aquifers, so a typical lava flow thickness of 30 m was assumed to convert the aquifer test to a bulk permeability by using the layered system approximation (Fetter 1994, p. 123–124). Long open borehole tests (&gt;30 m) potentially intersected multiple aquifers and a representative length of confining unit. Temperature measured in these boreholes (Schroder & Strait 1987; McGrail et al. 2009; Spane et al. 2012) was used to correct viscosity and density, and permeability was computed and assigned to the middle of the test interval. Four boreholes have multiple packer tests vertically along the borehole length.
DOI: 10.6084/m9.figshare.27994208.v1
title: Dataset_AI_Supply_Optimization

description: This dataset contains 36,000 records with 10 variables related to supply chain optimization using AI. It includes key logistics data such as product category, quantity sold, route distance, transit time, transportation cost, and traffic conditions. Additionally, environmental factors like temperature and precipitation are provided, enabling predictive analysis and route optimization. The dataset supports studies on AI-driven supply chain efficiency, cost reduction, and decision-making.
DOI: 10.6084/m9.figshare.17049806.v2
title: Global urban greening data and code

description: This file contains a summary of data and code used in the paper:<br> M. O. Cuthbert, G. C. Rau, M. Ekström, D. M O’Carroll & A. J. Bates (2022). Global climate-driven trade-offs between the water retention and cooling benefits of urban greening. Nature Communications. https://doi.org/10.1038/s41467-022-28160-8<br>See the ReadMe file uploaded with the data and the Methods section of the paper for details of the derivation of each dataset.<br>
DOI: 10.6084/m9.figshare.21354333.v1
title: Endometriosis pregnancy experience qualitative

description: <em><strong>Endometriosis and pregnancy: the illusion of recovery.</strong></em>
DOI: 10.6084/m9.figshare.24922476.v1
title: Genome assemblies and annotations version 0

description: Genome assemblies and annotations version 0
DOI: 10.6084/m9.figshare.26089362.v1
title: HiGTS_2021s3

description: HiGTS is a high temporal resolution global gridded dataset of human thermal stress metrics. Derived using climate variables from ERA5-Land and ERA5, the HiGTS consists of hourly gridded maps of Universal Thermal Climate Index (UTCI), Universal Thermal Stress (UTS), and daily Thermal Stress Duration (TSD) at 0.1° × 0.1° spatial resolution over the global land surface.HiGTS_2021s3 contains the data from July 1, 2021 to September 30, 2021.
DOI: 10.17632/gg8c7t3v54
title: Montreal Road Collision Dataset (2012-2021)

description: This dataset is derived from the public dataset of road collisions that occurred in Montreal, which is accessible at https://www.donneesquebec.ca/recherche/dataset/vmtl-collisions-routieres. Unlike the original dataset, this dataset has been preprocessed (handling of missing data, data rebalancing via the SMOTE-ENN algorithm, etc.), and categorical variables have been encoded, making it ready for machine learning and other tasks. The .pkl file containing the encoding and the notebook demonstrating how to use the .pkl file are provided. For more details, please refer to the table below, which represents the data dictionary of this dataset. This dataset is shared under the Attribution License (CC-BY 4.0).

If you use this dataset for publication, please cite the following reference: Muktar, B.; Fono, V. Toward Safer Roads: Predicting the Severity of Traffic Accidents in Montreal Using Machine Learning. Electronics 2024, 13, 3036. https://doi.org/10.3390/electronics13153036
DOI: 10.6084/m9.figshare.28387958.v1
title: IPC04 - 2000, La Serena, Chile - Abstracts

description: Abstracts for the 4th International Penguin Conference (IPC04) held in La Serena, Chile, 4-8 September 2000.
DOI: 10.17632/k5vtwx2jgd
title: Data for: Can smartphone data identify the local environmental drivers of respiratory disease?

description: This data set provides daily aggregated symptom reports logged by users of the AirRater smartphone application (http://airrater.org) based in Hobart, Tasmania, between October 29 2015 and October 29 2018. Please see the meta-data file for further details of the data descriptors. For information please contact Fay.Johnston@utas.edu.au.