cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/cw7tkn22v2
title: C and Fortran OpenMP programs for rotating Bose-Einstein condensates

description: We present OpenMP versions of C and Fortran programs for solving the Gross–Pitaevskii equation for a rotating trapped Bose–Einstein condensate (BEC) in two (2D) and three (3D) spatial dimensions. The programs can be used to generate vortex lattices and study dynamics of rotating BECs. We use the split-step Crank–Nicolson algorithm for imaginary- and real-time propagation to calculate stationary states and BEC dynamics, respectively. The simulation input parameters for the C programs are provided via input files, while for the Fortran programs they are given at the beginning of each program and therefore their change requires recompilation of the corresponding program. The programs propagate the condensate wave function and calculate several relevant physical quantities, such as the energy, the chemical potential, and the root-mean-square sizes. The imaginary-time propagation starts with an analytic wave function with one vortex at the trap center, modulated by a random phase at different space points. Nevertheless, the converged wave function for a rapidly rotating BEC with a large number of vortices is most efficiently calculated using the pre-calculated converged wave function of a rotating BEC containing a smaller number of vortices as the initial state rather than using an analytic wave function with one vortex as the initial state. These pre-calculated initial states exhibit rapid convergence for fast-rotating condensates to states containing multiple vortices with an appropriate phase structure. This is illustrated here by calculating vortex lattices with up to 61 vortices in 2D and 3D. Outputs of the programs include calculated physical quantities, as well as the wave function and different density profiles (full density, integrated densities in lower dimensions, and density cross-sections). The provided real-time propagation programs can be used to study the dynamics of a rotating BEC using the imaginary-time stationary wave function as the initial state. We also study the efficiency of parallelization of the present OpenMP C and Fortran programs with different compilers.
DOI: 10.6084/m9.figshare.21590175.v1
title: csv file for jupyter notebook

description: df_force_kin_filtered.csv is the data sheet used for the DATA3 python notebook to analyse kinematics and dynamics combined. It contains the footfalls that hava data for both: kinematics and dynamics. To see how this file is generated, read the first half of the jupyter notebook
DOI: 10.6084/m9.figshare.24416923.v1
title: High-resolution gridded rainfall erosivity dataset for Peru - PISCO_reed v1.0

description: Development of high-resolution yearly gridded rainfall erosivity (RE) and density (ED) dataset over Peru (PISCO_reed), for the 2000-01 to 2019-20 period at ~10 km (0.1°) spatial resolution for the entire continental Peruvian territory. The <b>PISCO_reed</b> framework presents four main procedures: i) estimation RE and ED from IMERG Final-Run, ii) correction REED based AWS and, iii) construction and validation of PISCO_reed. The dataset is version 1.0.
DOI: 10.6084/m9.figshare.25782330.v3
title: Synergistic effects of the next generation insecticide flupyradifurone with a fungal pathogen - Data and R-code

description: Data and R code for the manuscript "Synergistic effects of the next generation insecticide flupyradifurone with a fungal pathogen", which investigates the impacts of chronic exposure to flupyradifurone alone and in combination with the entomopathogenic fungus <i>Metarhizium brunneum </i>in a non-target arthropod: the ant <i>Lasius niger</i>.
DOI: 10.6084/m9.figshare.29189537.v1
title: Temporal Trends and Drought Risk Evaluation in the Semi-Arid Kilis Region of Türkiye

description: This dataset supports the findings of our study titled [Temporal Trends and Drought Risk Evaluation in the Semi-Arid Kilis Region of Türkiye]. The Excel data include meteorological data. The data were collected and analyzed by T.Z.G. and E.T.Ö.
DOI: 10.17632/kk2tjv46f6
title: Prevalence of Postpartum depression at subnational level in India: Data extracted from 62 studies between 2015-23

description: Postpartum depression (PPD) is a significant mental health issue impacting mothers globally, with profound implications for both maternal and infant well-being. Characterized by major depressive symptoms that can onset from delivery up to a year postpartum, PPD affects mothers' quality of life, physical and psychological health, social relationships, and maternal-infant interactions. While the global prevalence of PPD is estimated at 17.4%, higher rates are observed in low- and middle-income countries (LMICs), with India's prevalence ranging between 18.8% and 22%. Socioeconomic disadvantages, lack of partner support, and other stressors contribute to these rates. India's diverse regional and cultural landscape likely leads to significant subnational variations in PPD prevalence. Addressing these disparities through targeted health services and resource allocation is crucial for mitigating the mental health challenges faced by mothers in India.

In this backdrop, we aimed to estimate the prevalence of PPD in India at national and sub-national levels and to assess the factors associated with variations in the prevalence rate of PPD across studies. We performed a systematic literature search in PubMed, Scopus, and EMBASE, including studies published between 2015 and 2023. The review analysed 62 studies involving 21,262 women.

Data Collection and Extraction:
Data were extracted and tabulated by two reviewers (APV and KPJ). The study characteristics recorded included:
- Author's name
- Publication year
- Study design
- Study location
- Study setting (e.g., hospital, community)
- Study area (e.g., urban, rural)
- Study population characteristics (e.g., age, socioeconomic status)
- Study period (the year of data collection/analysis)
- Assessment tool used for PPD (e.g., Edinburgh Postnatal Depression Scale)
- Sample size
- Number of participants with PPD
The extracted data were organised in a Microsoft Excel spreadsheet to facilitate analysis.

Code description: 
State: AP: Andhra Pradesh BR: Bihar CH: Chandigarh DL: Delhi GJ: Gujarat HP: Himachal Pradesh HR: Haryana KA: Karnataka MH: Maharashtra MP: Madhya Pradesh OR: Odisha PB: Punjab PY: Puducherry TL: Telangana TN: Tamil Nadu UP: Utthar Pradesh WB: West Bengal
Region: 0: North 1: East 2: West 3: South 4: Central
Setting: 0: Facility-based 1: Community-based 2: Both
Area: 0: Rural 1: Urban 2: Both
Time of assessment: 0: Not within 6 weeks of postpartum 1: within 6 weeks of postpartum 2: Both
Period: 0: Pre-COVID 1: Post-COVID
Assessment tool: EPDS: Edinburgh Postnatal Depression Scale PHQ: Patient Health Questionnaire HAM-D: Hamilton Rating scale for Depression MINI: Mini International Neuropsychiatric Inventory
Mode of administration: 0: Self-reported 1: Interviewer administered
DOI: 10.6084/m9.figshare.16598621.v1
title: CASF-2016 dataset prepared with Schrodinger for DeepDock evaluation

description: CASF-2016 data used to evaluate DeepDock. The file contains information of 285 protein ligand complexes extracted from CASF-2016 . Targets have been preprocessed using MaSSIF and ligands curated with Schrodinger Maestro. They 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.5122576.v1
title: Supplementary Material for: Macroscopic Analysis of Human Masseter Compartments Assessed by Magnetic Resonance Imaging

description: The human masseter is divided into compartments by aponeuroses. So far, the qualitative and quantitative features of these compartments and their aponeuroses have been scarcely investigated. This study investigated the three-dimensional compartmentalization of the masseter muscle and tested the hypothesis that aponeurosis content varies systematically across different masseter subportions as well as between genders. The right masseter of 14 healthy participants was scanned by magnetic resonance, and the outlines of muscle and aponeuroses were segmented and rendered in three dimensions by AMIRA software. The internal architecture of the masseter muscle varied markedly across individuals, with respect to the number, shape and location of the compartments delimited by aponeuroses. Aponeuroses were widely represented inside the masseter, amounting to 7.1 ± 2.1% of its volume. The aponeurosis content varied systematically across masseter subvolumes and did not differ between genders after adjusting for body height and weight.
DOI: 10.17632/sh8gfwhjhv
title: Green Marketing and Its Impact on Consumer Behavior in MSMEs :Exploring Sustainable Environment Business Strategies

description: The study highlights the significant impact of green marketing on consumer behavior, particularly in the context of Micro, Small, and Medium Enterprises (MSMEs) that adopt sustainable environmental strategies. Key findings from the research suggest that green marketing plays an essential role in enhancing purchase intention and customer loyalty, which in turn positively influence customer responses to environmentally friendly products.
DOI: 10.6084/m9.figshare.22363012.v5
title: FracAtlas: A Dataset for Fracture Classification, Localization and Segmentation of Musculoskeletal Radiographs

description: FractureAtlas is a musculoskeletal bone fracture dataset with annotations for deep learning tasks like classification, localization, and segmentation. The dataset contains a total of 4,083 X-Ray images with annotation in COCO, VGG, YOLO, and Pascal VOC format. This dataset is made freely available for any purpose. The data provided within this work are free to copy, share or redistribute in any medium or format. The data might be adapted, remixed, transformed, and built upon. The dataset is licensed under a CC-BY 4.0 license. It should be noted that to use the dataset correctly, one needs to have knowledge of medical and radiology fields to understand the results and make conclusions based on the dataset. It's also important to consider the possibility of labeling errors.Furthermore, any publication that utilizes this resource should acknowledge the original paper, and the authors are encouraged to share their code and models to assist the research community in replicating the experiments and promoting the field of medical imaging.
DOI: 10.6084/m9.figshare.23634366.v1
title: Illumina data BF3/BR2 (BF1=Bulk1, BF2=Bulk2, ect...)

description: Illumina raw data with primer pair BF3/BR2
DOI: 10.6084/m9.figshare.25045766.v1
title: Experimental Results.xlsx

description: In this section, we will evaluate the performance of the algorithm A-ABC. CPLEX is employed to directlysolve the relaxation model [OP2]. The A-ABC heuristic algorithm is configured with <i>t </i>= 100 iterations and thesolver is set to solve within 3600 seconds. Table 3 illustrates the average outcomes achieved by both CPLEXand A-ABC across instances involving 6, 9, and 25 clients. The table outlines specifics such as the number ofregions (<i>N</i>), instance count (#), instances optimally solved (#O), lower bound (<i>lb</i>, which represents the best?found target value), upper bound (<i>ub</i>), percentage gap calculated as (<i>ub</i>−<i>lb</i>)/<i>lb</i>×100%, and the Time (<i>s</i>) column,indicating the solver’s duration to establish the lower bound. Additionally, for A-ABC, we present the averagebest target value, average worst target value, average target value, standard deviation from 10 runs, average totalcomputation time (in seconds), and the Gap value derived from CPLEX. Table 4 distinctly emphasizes superiorvalues among diverse heuristic methods alongside their shortest computation times. Detailed solutions for eachinstance can be found in the online supplement.
DOI: 10.6084/m9.figshare.11886678.v1
title: cytometry data

description: Flow Cytometry and complete blood count notes. <br> FACS File naming: <br> The first number represents the trial participant I.D., as follows <br> High dose = 110, 116, 128, 130, 315, 316, 324, <br> Low dose = 132, 137, 140, 328, 359, 363, 382, 386, 391, 394, 396 <br> Placebo = 301, 318, 384 <br> J represents the day post-immunisation of blood sampling, e.g. J0 is day 0, i.e. the baseline blood sample. <br> After the participant ID, the file name describes the Ab staining targets for FL-1 to FL-4 respectively. e.g. 56 = CD56, or 30 = NKp30. Please see the associated publication, Pejoski et. al, 2020, in npj Vaccines for a description of all of the Abs used in the study. <br> Files labelled 'cellules' are unstained samples.<br><br><br> CBC (automated 'complete blood count' values, M/ml) <br> participant ID d0 leukocytes d1leukocytes d3leukocytes d7leukocytes 110 4.1 5.1 3.5 4.2 116 5.6 5 4.5 4.2 128 5 4.4 3.5 2.7 130 6.4 5.5 4.2 5.2 302 5.3 4.7 4.4 5 315 7.5 6.2 4.2 7.3 316 5.2 4.3 3.9 4.9 324 6.6 8.8 5.1 6.2 132 5.6 5.5 4.6 4.9 137 7.2 7.8 5.2 7.7 140 6.4 9.1 5 5.7 328 5.4 5.5 4.5 4.9 359 4.6 4.9 3.8 3.9 363 7.1 9.6 6.6 6.5 382 7.5 8.5 6.7 7.8 386 5.9 7.1 4.9 7.7 391 5 6 3.9 7.2 394 5.8 6.3 5.3 5.3 396 4.4 6.2 4.8 4 301 5.4 5.6 5.4 5.8 318 4.7 5.3 3.5 4.8 384 6.7 6.5 5.6 6.3<br><br><br><br><br><br><br>
DOI: 10.6084/m9.figshare.28495571.v1
title: PopPIPE on vancomycin resistant <i>Enterococcus faecium</i>

description: Input files and output of PopPIPE run on vancomycin resistant <i>Enterococcus faecium</i>, as documented in the example usage in the README.
DOI: 10.6084/m9.figshare.7358309.v1
title: trees.zip

description: Contains a single MAP (maximum a-posterior probability) species tree (phylogeny) of each genus for which ploidy inference results are available. Trees are provided as text files in Newick format with branch lengths information.
DOI: 10.6084/m9.figshare.7929998.v1
title: gVCF_HG04002

description: 1000 Genomes gVCF mapped to hs37d5 for HG04002. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.17632/wvh9sx6h47
title: Economic Diplomacy (ED) and Its Levels of Operation

description: The main economic governance and day-to-day Economic Diplomacy (ED) are important to any country's international policy. In today's globalized world, ED is an important tool for countries to develop, stay engaged, and even survive economically. This paper has pointed out the study of ED as a subject applied at international economic activity levels and its various operation levels. In this globalized world, the economy has significantly influenced international affairs and relations between countries. ED is becoming increasingly important in foreign policy.
DOI: 10.6084/m9.figshare.14558538.v1
title: FACS data

description: FACS data from pulse chase experiment
DOI: 10.6084/m9.figshare.3156418.v1
title: Simulation of freely-diffusing smFRET measurements

description: Simulation of a static mixture of two FRET populations generated with PyBroMo.
DOI: 10.6084/m9.figshare.4747687.v1
title: Supplementary material - Raw data from experiments from The dynamic association between ovariole loss and sterility in adult honeybee workers

description: In the social insects, ovary state (the presence or absence of mature oocytes) and ovary size (the number of ovarioles) are often used as proxies for the reproductive capacity of an individual worker. Ovary size is assumed to be fixed post-eclosion whereas ovary state is demonstrably plastic post-eclosion. Here, we show that in fact ovary size declines as honeybee workers age. This finding is robust across two honeybee species: <i>Apis mellifera</i> and <i>A. cerana</i>. The ovariole loss is likely to be due to the regression of particular ovarioles via programmed cell death. We also provide further support for the observation that honeybee workers with activated ovaries (mature oocytes present) most commonly have five ovarioles rather than a greater or smaller number. This result suggests that workers with more than five ovarioles are unable to physiologically support more than five activated ovarioles and that workers with fewer than five ovarioles are below a threshold necessary for ovary activation. As a worker's ovariole number declines with age, studies on worker ovariole number need to take this plasticity into account.
DOI: 10.6084/m9.figshare.19658802.v1
title: Source_Data

description: Source Data for "A Scalable, Open-Source Implementation of a Large-Scale Mechanistic Model for Single Cell Proliferation and Death Signaling" by Erdem et al. 2022.
DOI: 10.6084/m9.figshare.21981998.v1
title: Data sets

description: All the features extracted from PPG. <br> If you use this dataset, please cite the following papers: <br> 1. Motin, M. A., C. K. Karmakar, T. Penzel and M. Palaniswami (2019). Sleep-Wake Classification using Statistical Features Extracted from Photoplethysmographic Signals. 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE. 2. Motin, M. A., C. Karmakar, M. Palaniswami and T. Penzel (2020). "Photoplethysmographic-based automated sleep–wake classification using a support vector machine." Physiological Measurement <strong>41</strong>(7): 075013.
DOI: 10.6084/m9.figshare.22347574.v2
title: Trained PriLer models on European ancestry individuals

description: Prior learned elastic-net regression (PriLer) gene expression models trained on reference panels GTEx v6p and CMC release 1. Inside each folder, "genotype_info/" include tab-separated files divided per chromosome with info on variants used to train the models. "tissues/" include trained models divided per tissue. In the corresponding folders,<strong> resPrior_regEval_allchr.txt</strong> is a tab-separated file with summary statistics of trained model for each gene, sorted by chromosome and position. <strong>resPrior_regCoeffSnps_allchr.RData </strong>is an RData object including a Sparse Matrix per chromosome n. variants x n. of genes with trained regression coefficients. Variants position match genotype files and gene position match gene summary statistic order (divided per chromosome). <strong>ENSEMBL_gene_SNP_2e+05_chrxx_matrix.mtx </strong>are sparse 0/1 matrices per chromosome n. variants x n. of genes that represent gene-variant distance matrices. For each gene, 1 indicates a variant being located in the transcription starting site window +/- 200kb. To use the trained model to impute gene expression from on genotype dosages, follow Module 2 workflow in of https://gitlab.mpcdf.mpg.de/luciat/castom-igex.git
DOI: 10.6084/m9.figshare.3187909.v2
title: SMILE Twitter Emotion dataset

description: This dataset is collected and annotated for the SMILE project http://www.culturesmile.org. This collection of tweets mentioning 13 Twitter handles associated with British museums was gathered between May 2013 and June 2015. It was created for the purpose of classifying emotions, expressed on Twitter towards arts and cultural experiences in museums. <br>It contains 3,085 tweets, with 5 emotions namely anger, disgust, happiness, surprise and sadness. Please see our paper "SMILE: Twitter Emotion Classification using Domain Adaptation" for more details of the dataset.<br>License: The annotations are provided under a CC-BY license, while Twitter retains the ownership and rights of the content of the tweets.<br>
DOI: 10.17632/jm38nkwp9x
title: Dataset of sodium borosilicate glass properties from molecular dynamics simulations

description: This dataset contains structural, thermophysical, and mechanical properties of SiO₂-B₂O₃-Na₂O glasses obtained from Molecular Dynamics simulations. This includes the population of the different structural glass-forming units, glass densities, enthalpies of mixing, elastic moduli (Young, bulk, and shear), and Poisson's ratio. The data cover the whole glass-forming composition space of the SiO₂-B₂O₃-Na₂O pseudo-ternary system with a constant composition increment of 5%. Two different empirical potentials were used in the simulations to assess the potential-dependent character of the observations. The dataset includes experimental values for the density and mechanical properties of several glass compositions gathered from the literature, which were used to quantify the validity of the two potentials.
DOI: 10.17632/km4932vhpf
title: The effects of CO2 pneumoperitoneum at different temperature and humidity on hemodynamic and respiratory parameters and postoperative pain for gynecologic laparoscopic surgery: A Prospective Randomized Study

description: Laparoscopy surgery has been associated with less postoperative pain, less systemic immunological depression, less wound infection, shorter hospital stays and earlier return to normal activities. However, the hemodynamic changes caused by pneumoperitoneum, patient's position and hypercarbia have always been a concern for surgeon and anesthesiologists. Hypercarbia and increased intraabdominal pressure affect cardiac output, central venous pressure, heart rate (HR), mean blood pressure (MBP) and systemic vascular resistance through various mechanisms in laparoscopic surgery. The hemodynamic effects of mild hypercarbia are less serious than the mechanical effects of increased intraperitoneal pressure, although moderate and severe hypercarbia lead to significant hemodynamic changes, both directly by the cardiovascular system and indirectly by the autonomic system. Its effects on the sympathetic nervous system cause increased blood pressure, heart rate and risk of arrhythmia. Especially, patients with cardiac or pulmonary diseases are at increased risk because of reduced cardiac output, increased central venous pressure, respiratory pressure and acidosis [1-4]. Standard carbon dioxide (CO2) is often preferred at room temperature (20–25°C) and dry (at 0-5% relative humidity) in laparoscopic surgery [5,6]. Recent years have witnessed devices that provide heat (35-37°C) and humidity (95-98%) to prevent postoperative pain and intraoperative hypothermia. However, the number of studies on the effects of heated CO2 on hemodynamic and respiratory parameters is limited [7-9], and these studies do not include humidified CO2. We aimed to test whether heated (37°C)-humidified (95%) CO2 would diffuse more easily into the blood from the abdomen and cause more hypercarbia compared to standard CO2 in cases with constant intraabdominal pressure and whether it would affect hemodynamic, given the vasodilation that could occur, and respiratory parameters. Although laparoscopy surgery is known to cause less systemic inflammation, some studies have reported that the use of standard CO2 during laparoscopy led to a higher local or systemic inflammatory response compared to heated-humidified CO2. This response has been stated to be particularly due to drying and damage in the peritoneum and has been associated with postoperative pain [4,5,10]. The second aim of this study was to examine simple indicators of inflammation, i.e., leukocyte and their subtype (neutrophil and lymphocyte counts) and neutrophil-lymphocyte ratios (NLRs) [11-14] in standard CO2 and heated-humidified CO2 and to evaluate their correlation with postoperative pain., and to evaluate their correlation with postoperative pain.
DOI: 10.17632/ptdx72nrr8
title: Dataset knowledge management model

description: SPSS database, path diagrams, covariances, AVE, CR and hypothesis testing with AMOS are detailed.
DOI: 10.17632/s6yj9t2rcy
title: China_Dry_wet_abrupt_alternation_hotspots_projections

description: This is the climate region model simulations cover China pertaining to the following research paper: "Projected changes in the abrupt alternation between dry and wet extremes over China through an ensemble of regional climate model simulations" . It includes the CRU( http://www.cru.uea.ac.uk/ ), APHRODITE datasets (http://aphrodite.st.hirosaki-u.ac.jp/), and the five multi-model ensemble simulations derived from CORDEX EAS datasets (https://cordex.org/) and RECIS datasets for gridded monthly precipitation and PET.