cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/t49cyrgtct
title: Dataset for "Coupling Reservoir Operation and Rainfall-Runoff Processes for Streamflow Simulation in Watersheds"

description: This dataset includes all code used to run and evaluate the coupled watershed models described in 'Coupling Reservoir Operation and Rainfall-Runoff Processes for Streamflow Simulation in Watersheds.'

Prior to model calibration and performance evaluation, the codes in Step_A_DataPreprocessing, and Step_B_CreateReservoirModels are to be run for creating set-up files. Outputs from the codes in both folders are already included in the dataset. Separate readme.txt files inside both folders describe each codes' application.

Within the root folder, "Calibrate_Models_Using_NSGA2.R" is run first to obtain optimized/calibrated coupled model parameters; outputs are stored in the folders "Optimized_Paras". 
Subsequently, the "Generating_Calibration_DWM_and_SWM_Sims.R" and "Generating_Validation_DWM_and_SWM_Sims.R" codes are run to generate calibration and validation period streamflow simulations (both deterministic and stochastic), respectively, using the calibrated parameters.
Results of "Generating_Calibration_DWM_and_SWM_Sims.R" are stored in the "Stored_Simulations_And_Pred_Uncertainty_Paras" folder.
Results of "Generating_Validation_DWM_and_SWM_Sims.R" are stored in the "Validation_Period_Results/Stored_Simulations_And_Pred_Uncertainty_Paras" folder.

The following codes are used to generate the results in the paper:
"Plots_Calibration_Period.R" -&gt; Plots boxplots of KGE and LNSE (for reservoir inflow and watershed outflow) for the calibration period; outputs stored in "Boxplot" folder.
"Plots_Validation_Period.R" -&gt; Plots boxplots of KGE and LNSE (for reservoir inflow and watershed outflow) for the validation period; outputs stored in "Validation_Period_Results/Boxplot" folder.
"Checking_Distributions_Of_Parameters.R" -&gt; Plots probability distribution functions of calibrated watershed model parameters; outputs stored in "Parameter_PDFs" folder.
"LMoment_Errors_CalibrationPeriod.R" -&gt; Calculates and plots the errors in estimated L-moments for the calibration period; results written in "LMoment_Errors" folder.
"LMoment_Errors_ValidationPeriod.R" -&gt; Calculates and plots the errors in estimated L-moments for the validation period; results written in "Validation_Period_Results/LMoment_Errors" folder.
"Plotting_Calib_FDCs_And_Hydrographs_DWM_SWM.R" -&gt; Plots calibration period flow duration curves (FDCs) and hydrographs simulated by the watershed models to "Hydrographs_and_FDCs" folder.
"Plotting_Valid_FDCs_And_Hydrographs_DWM_SWM.R" -&gt; Plots validation period FDCs and hydrographs simulated by the watershed models to "Validation_Period_Results/Hydrographs_and_FDCs" folder.

Apart from the above codes, all other codes in the root folder are function files.
DOI: 10.6084/m9.figshare.13557809.v5
title: Bilateral Government Event Sequences Extracted From the GDELT Database for the Period 19 June 2018 to 20 June 2019

description: Data files for the COINE 2020 Paper - "Mining International Political Norms from the GDELT Database".This file contains bilateral government event sequences extracted from the GDELT database for the period 19 June 2018 to 20 June 2019<br><br>Use numpy.load() to load up the file<br><br>Code repository can be found here - https://bitbucket.org/SuraviMsc/suravi-msc-python/src/master/<br>
DOI: 10.6084/m9.figshare.14827578.v1
title: Thermal Bukling

description: The data is used for the thermal buckling topology optimization with size effect.
DOI: 10.6084/m9.figshare.23277041.v2
title: Raw data for Yuan et al., 2023 litter initial concentrations of K, Ca, and Mg

description: Raw data for Yuan et al., 2023 litter initial concentrations of K, Ca, and Mg.
DOI: 10.6084/m9.figshare.3551010.v1
title: Full Archive

description: Full Archive
DOI: 10.6084/m9.figshare.3826467.v1
title: LAB1 ECOLOGY BIO2050 SEC07.csv

description: The study which was done on September 13 2016 was based on the relationship between a person’s height in feet and shoe size according to the United States Shoe Standard Sizing Chart. Twenty-one random subjects were approached and asked about their height and shoe size. What was hypothesized was that height and shoe size are correlated. Our prediction was that the taller an individual was the larger their feet. Thus having a positive correlation between the two variables.
DOI: 10.6084/m9.figshare.2574298.v1
title: Environmental suitability for Zika virus transmission

description: A global 5km x 5km resolution map of environmental suitability for Zika virus transmission to humans. The raster file is in a .TIFF format, which can be imported into many geographic information systems software programs and statistical packages such as R. The values range from 0 (unsuitable) to 1 (suitable), based on boosted regression trees modelling, using a Zika virus human occurrence database and six high-resolution environmental covariates.
DOI: 10.6084/m9.figshare.28151213.v2
title: Gridded dataset of daily 2-m temperature forecast from the ECMWF 50-member ensemble forecast

description: This dataset contains gridded spatial fields of daily 2-meter temperature (Kelvin) ensemble forecasts with a 48-hour lead time. The forecast data are from the European Centre for Medium-Range Weather Forecasts' (ECMWF) 50-member ensemble, and the time range of forecast days is 10 years from 2007-01-03 to 2017-01-02. The forecast is on a 0.5° × 0.5° grid, covering the region from -10° E to 30° E and from 30° N to 70° N, resulting in 81 × 81 grid points roughly covering Europe.
DOI: 10.6084/m9.figshare.4977560.v3
title: Malus domestica illustrations

description: Illustrations of Malus sylvestris made for the Technical guidelines for genetic conservation and use by European Forest Genetic Resources Programme (EUFORGEN)
DOI: 10.6084/m9.figshare.5249107.v1
title: Electronic Supplementary: TableS1 & TableS2

description: Supplementary data to an article "The effect of climate change on the duration of avian breeding seasons: a meta-analysis", by Halupka L. and Halupka K. <br>
DOI: 10.15131/shef.data.14945844.v1
title: Dataset behind the results of: Automatic methods of hoof-on and -off detection in horses using wearable inertial sensors during walk and trot on asphalt, sand and grass

description: This dataset contains the data behind the results of the associated paper. It includes the timing of gait events as detected by the different methods explored in the paper, for a group of horses at walk and trot. A ReadMe file explains fully the layout of the data and naming conventions used.<br>
DOI: 10.6084/m9.figshare.13323128.v3
title: Data of clinical trials.xlsx

description: ChiCTR Registration number：ChiCTR1800016301；Public title：A clinical trial of correlation study on 15N-glycine labeling technique and CO breath test in human erythrocyte lifespan measurement；Scientific title：Correlation study on 15N-glycine labeling technique and CO breath test in human erythrocyte lifespan measurement
DOI: 10.6084/m9.figshare.13345406.v2
title: dataset for schistosomiasis

description: This dataset is the original data analyzed in "<b>Dynamic Evolution of Schistosomiasis Distribution under Different Control Strategies: Results from Surveillance Covering 1991-2014 in Guichi, China</b>" published by PLoS Neglected Tropical Diseases in 2020.
DOI: 10.6084/m9.figshare.29159780.v1
title: Landscape Open Data Railway Europe by Org.

description: Collection of metadata for every country in EU + EFTA that publish open data by railway organisation in:<br><br>Railway Open Data Portal (e.g. data.oebb.at)Gov Open Data Portal (e.g. data.gv.at)<br>EU - National Access Points (https://napcore.eu/description-naps/national-access-point/)<br>
DOI: 10.17632/hsprcwcvhy
title: Android Pattern-Lock Touch Biometric Data Set

description: The hypotheses that were tested through this study are the following: H1: There is a correlation between the number of touchstroke features used and the accuracy of the touch operation biometric system; Ho1: There is no correlation between the number of touchstroke features used and the accuracy of the touch operation biometric system; H2: There is a correlation between pattern complexity and accuracy of the touch operation biometric system; Ho2: There is no correlation between pattern complexity and accuracy of the touch operation biometric system; H3: There is a correlation between user training and accuracy of the touch operation biometric system; Ho3: There is no correlation between user training and accuracy of the touch operation biometric system. The extracted features on the modified Android Pattern-Lock application were Time on Dot (TOD) and Time Between Dot (TOD). This was later analyzed using the Dynamic Time Warping (DTW) Algorithm. The subsequent values in the tables are as a result of processing the column input with corresponding row data in the DTW algorithm to get the warp distance and use this to determine the Upper boundary, FAR, FRR, and Accuracy measures.
DOI: 10.17632/pdmgg3h58g
title: Supplemental data

description: Supplemental Tables 1-3 and Figures 1-3
DOI: 10.6084/m9.figshare.12612998.v1
title: Underlying Data 1

description: Underlying Data<br>
DOI: 10.6084/m9.figshare.14174807.v2
title: Clinical information of three cohorts-updated

description: Clinical information of three immunotherapeutic cohorts, including age, sex, regimen, survival, and GIPS grouping.<br>
DOI: 10.6084/m9.figshare.25828276.v2
title: Source Data

description: Source Data for "<b>Global biogeography of microbes driving ocean ecological status under climate change</b>"The Source Data is a ZIP file containing Source Data 1~5. You can get all source data by downloading it. Or get the separate files by other links.
DOI: 10.17632/7f3nhyn2hd
title: Supplementary figure

description: Supplementary figure for preparation of CFP-10-ESAT-6 fusion protein
DOI: 10.17632/9y6k339hwx
title: Data for: Survival of the Native Hip after Lumbopelvic Fusion
DOI: 10.6084/m9.figshare.28300730.v1
title: sialidase_assays Analysis Files

description: Data on sialidase activity of bacterial isolates.
DOI: 10.6084/m9.figshare.3531926.v1
title: Appendix F. Illustration of insect deposition rate as a function of distance from shore.

description: Illustration of insect deposition rate as a function of distance from shore.
DOI: 10.6084/m9.figshare.6741734.v2
title: LSIE individual subjects full set

description: Individual subject folders for 49 subjects containing all raw data. Cortisol data for all subjects are combined in single Excel spreadsheet. UM_LSIE.xml is a study description document.
DOI: 10.17632/4jscxhkd2s
title: PolyMorph: Extension of PolyHoop for tissue morphogenesis coupled to chemical signaling

description: We present PolyMorph, a lightweight standalone C++ program that extends its predecessor PolyHoop by a finite-difference solver for multi-component reaction-advection-diffusion equations. PolyMorph simulates two integral parts of tissue morphogenesis in two dimensions: 1) the mechanics of cellular deformation, growth and proliferation, and 2) transport and reaction of an arbitrary number of chemical species. Both of these components are bidirectionally coupled, allowing cells to base their behavior on local information on concentrations and flow, and allowing the chemical transport and reaction kinetics to depend on spatial information such as the local cell type. This bidirectional feedback makes PolyMorph a versatile tool to study a variety of cellular morphogenetic processes such as chemotaxis, cell sorting, tissue patterning with morphogen gradients, Turing patterning, and diffusion- or supply-limited growth with sub-cellular resolution.
DOI: 10.17632/zcyr4syjn5
title: NIR datasets from two batches of γ-PGA were used to validate the model transfer method.

description: NIR spectra of two batches of γ-PGA product solutions were collected. The highest concentration was 50g/L, and five concentrations were obtained by dilution: 50g/L, 37.5g/L, 25g/L, 18.75g/L and 12.5g/L. The two batches of γ-PGA were produced in different processes (including but not limited to fermentation species, quantity and substrate) to validate the NIR model transfer methods between different samples.
The NIR spectra were collected by the MPA Fourier Transform Near Infrared Spectrometer (Bruker Optics Inc., Germany) equipped with TE-InGaAs detector and Opus 6.5 analysis software. The spectral wavelength scanning range was 12493-4000cm-1, the scanning resolution was set at 4cm-1, each sample was measured for 3 times and averaged.
The format of data saving as: .mat. The sourcedata.mat contains the NIR spectral data, wavenumber and concentration labels of the first batch of γ-PGA solution, and targetdata.mat contains NIR spectral data, wavenumber and concentration labels for the second batch of γ-PGA solution.
DOI: 10.6084/m9.figshare.14384936.v3
title: Beaver Relocation Hydrological Data

description: These data are associated with the article <br> Relocated beaver can increase water storage and decrease stream temperature in headwater streams
DOI: 10.6084/m9.figshare.19765849.v6
title: Data and code for aging C57BL/6J proteomics manuscript

description: Data and code used for the aging C57BL/6J proteomics manuscript. Data includes quantitative protein profiling from 10 tissues (kidney, liver, fat, spleen, lung, heart, skeletal muscle, striatum, cerebellum, and hippocampus) from 20 C57BL/6J mice, representing balanced groups by sex and age (8 and 18 months-old). Code for processing data, running analysis, and producing figures are included. Code and data to locally run an interactive data viewer (Shiny application) is also included.
DOI: 10.6084/m9.figshare.21353937.v1
title: 3um polystyrene bead dataset

description: This is 3um polystyrene bead dataset. 300 patches for complex amplitude and 600 patches for diffraction intensity pattern are shared.
DOI: 10.6084/m9.figshare.28769750.v1
title: Supplemental Table S1

description: Supplemental Table S1 of the article by Sarto et al. "Twenty-One Days of Bed Rest Alter Motor Unit Properties and Neuromuscular Junction Transmission in Young Adults"Table S1: Details of the linear mixed effect models performed for each high-density surface electromyography (HDsEMG) and intramuscular electromyography (iEMG) variable<b>. </b>For HDsEMG parameters, regular linear mixed models were applied. As for iEMG parameters, the residual models were not normally distributed, generalised linear mixed models were employed, and distribution and link functions were also reported. DR: discharge rate; MUP: motor unit potential; MVC: maximum voluntary contraction; NFM: near-fibre motor unit potential.
DOI: 10.6084/m9.figshare.29043563.v1
title: Interviews-Coding.csv

description: This dataset presents the qualitative coding of interview transcripts from a research study. The file “Coding” contains coded excerpts from participants’ responses, including the associated categories and constructs. The “Categories-Construct” file defines the hierarchical structure of codes, including constructs, categories, and subcategories. These resources support qualitative analysis focused on understanding participants' experiences, perceptions, and behaviors in the study context.
DOI: 10.6084/m9.figshare.5732955.v2
title: D-Leaf

description: This data set consisted of 43 tropical plant species and 30 samples per species. The samples were collected in University of Malaya, Malaysia.
DOI: 10.17632/3hz4s2h4n2
title: Impact of Home Quarantine due to COVID-19

description: Research Hypothesis:
The research hypothesis for this study posits that the implementation of home quarantine measures due to the COVID-19 pandemic has had a significant impact on various aspects of the general population in Bangladesh, including sociodemographic characteristics, health-related variables, and financial well-being.

Data Description and Collection:
The dataset comprises responses obtained from a self-administered questionnaire distributed to individuals voluntarily participating in the study. The questionnaire covers a wide range of topics, including sociodemographic information (e.g., age, settlement type, education level), health-related variables (e.g., overall health evaluation, presence of hereditary conditions, psychological impacts of quarantine), and financial impacts (e.g., income changes, expenses during quarantine). Participants were recruited from various regions of Bangladesh to ensure representativeness.

Interpretation of Data:
The data provide insights into the multifaceted impacts of home quarantine measures on the Bangladeshi population during the COVID-19 pandemic. Analysis of sociodemographic characteristics reveals patterns related to age, education, marital status, and occupation, shedding light on the demographic composition of those affected by quarantine policies. Health-related variables elucidate the prevalence of physical and mental health issues among quarantined individuals, as well as their access to healthcare services and coping mechanisms. Financial impact data offer insights into the economic consequences of quarantine, including changes in income, ability to maintain family expenses, and coping with increased prices of goods.

Notable Findings:

The majority of participants reported being in good physical health, although a significant proportion reported experiencing mild to severe physical impairments.
Psychological impacts, such as anxiety and depression, were prevalent among respondents, highlighting the mental health challenges associated with home quarantine.
Financially, many participants reported a negative impact on their income, with increased expenses and difficulties coping with rising prices of goods during quarantine.
Implications and Usage:
The dataset provides valuable information for researchers, policymakers, and healthcare professionals interested in understanding the effects of home quarantine measures on public health, social dynamics, and economic well-being in Bangladesh. Findings from the dataset can inform the development of targeted interventions to support individuals and communities affected by quarantine policies, mitigate negative health and economic outcomes, and enhance resilience in future public health crises. Additionally, the dataset serves as a resource for further analysis and research on the broader implications of pandemic-related quarantine measures on society.
DOI: 10.6084/m9.figshare.12627632.v3
title: ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts

description: This repository contains the developed parallel corpus from the open access Google Patents dataset in 74 language pairs, comprising more than 68 million sentences and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned. We demonstrate the capabilities of our corpus by training Neural Machine Translation (NMT) models for the main 9 language pairs, with a total of 18 models. Our parallel corpus is freely available in TSV format.<br>The original article can be found here: https://www.aclweb.org/anthology/2020.lrec-1.465/<br>Please cite as:<br><pre>@inproceedings{soares-etal-2020-parapat, title = "{P}ara{P}at: The Multi-Million Sentences Parallel Corpus of Patents Abstracts", author = "Soares, Felipe and Stevenson, Mark and Bartolome, Diego and Zaretskaya, Anna", booktitle = "Proceedings of The 12th Language Resources and Evaluation Conference", month = may, year = "2020", address = "Marseille, France", publisher = "European Language Resources Association", url = "https://www.aclweb.org/anthology/2020.lrec-1.465", pages = "3769--3774", abstract = "The Google Patents is one of the main important sources of patents information. A striking characteristic is that many of its abstracts are presented in more than one language, thus making it a potential source of parallel corpora. This article presents the development of a parallel corpus from the open access Google Patents dataset in 74 language pairs, comprising more than 68 million sentences and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned. We demonstrate the capabilities of our corpus by training Neural Machine Translation (NMT) models for the main 9 language pairs, with a total of 18 models. Our parallel corpus is freely available in TSV format and with a SQLite database, with complementary information regarding patent metadata.", language = "English", ISBN = "979-10-95546-34-4", }</pre>
DOI: 10.6084/m9.figshare.24319780.v1
title: Moskowitz et al., 2023 Data Set

description: Virtual vignettes and gender expression.
DOI: 10.6084/m9.figshare.6066590.v1
title: Node information of Chilean power grid with tap

description: Node data of Chilean power grid 'with tap' version. Node list include the ID of nodes, label, ownership, geo-coordinates, and role of the nodes. Please, see the corresponding edge file to construct a network with the nodes.
DOI: 10.17632/m2y7jpz4wz
title: TB 10-drug DiaMOND compendium

description: Our goal was to use systematic drug combination data from in vitro studies to prioritize drug combinations for in vivo study. We used DiaMOND (DOI: 10.1126/sciadv.1701881) to systematically measure drug combination interactions and potencies against Mycobacterium tuberculosis (Erdman strain). This dataset includes all 1-, 2-, and 3-way combinations of a 10-drug set of antibiotics in eight different in vitro models. With these data, we demonstrated that treatment outcomes in two important preclinical mouse models could be predicted using signatures of drug interaction and potency metrics. File 1 (Data cube) includes the antibiotics, in vitro models, time points, and dose-response metrics. File 2 (IC90) includes the 90% inhibitory concentration of the 10 antibiotics in each in vitro model at the terminal time point. File 3 (Abbreviations) includes abbreviations and descriptions used in the Data cube and IC90 files. These data and more detailed descriptions of the experiments and analysis are in Larkins-Ford et al 2021.
DOI: 10.6084/m9.figshare.21893133.v1
title: Links to rare climates do not translate into distinct traits for island endemics

description: The data and code provided here support a published paper of the same title (doi to be confirmed). <br> 'Final_script_funrar_FigShare' is the code to be used with the following data: <br> 'funrar_trait_env_FlorCan_revised' is the main data file that contains trait data and environmental data (including climatic rarity). <br> 'Tenerife_field_trait_data' is additional trait data for Tenerife (used for the supporting information) <br> 'tree_mb_final' is a phylogenetic tree for the species used in the study. This is a pruned tree obtained from Smith & Brown (2018) <br> 'bias_test' is the climatic rarity data for all species that have distribution data. Not all of these species have trait data, so this can be used to test for bias caused by train 'missingness'.
DOI: 10.6084/m9.figshare.24791346.v1
title: Research data for "Exploring stakeholder engagement in urban village renovation projects through a mixed-method approach to social network analysis"

description: Included in this database are raw data on stakeholder relationships and values of stakeholder centrality indicators.
DOI: 10.6084/m9.figshare.27241479.v1
title: <b>The Dynamic Role of the Bacterial Virulence Factors in Skin Wound Healing-Raw Data</b>

description: Raw Data