cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/9wjb-2g53
title: Study of Microgrid Resilience through Co-Simulation of Power System Dynamics and Communication Systems Use Cases

description: Smart grid technologies are deepening the interdependence of electric power and communication systems, but that interdependence is difficult to quantify. In the case of microgrids, communication systems can be essential to maintaining stability during islanded operations. Though many power system studies assume the presence of perfect communication networks, detailed modelling of power and communication systems for dynamic studies of microgrids is rare. The work presented in this paper develops a framework, for power and communication system co-simulation, to study the effects of communication systems on microgrid stability. An operational use case is examined in which a battery energy storage system operates to offset the loss of generation in an islanded microgrid. The framework is evaluated for different communication technologies, network structures, and communication media.
DOI: 10.21227/mqtz-az80
title: Brazilian Flights Dataset

description: An integrated dataset containing data on departure and arrival data for Brazilian domestic flights comprising the period from the years 2000 to 2019.Composed of 15,506,069 records of flight data, each containing 51 attributes. The attributes include data regarding the airline, flight, airports, meteorological conditions, and scheduled and real times of departure and arrival.
DOI: 10.5517/ccdc.csd.cc1zvfw4
title: CCDC 1842667: Experimental Crystal Structure Determination

description: Related Article: Darren M. C. Ould, Micol Santi, Thomas Wirth and Rebecca Melen|2020|CSD Communication|||
DOI: 10.5281/zenodo.3972021
title: The Resilience of Habitable Climates Around Circumbinary Stars: 3D climate model data Part 2

description: Climate modeling outputs used in the paper, "The Resilience of Habitable Climates Around Circumbinary Stars", to be published JGR-Planets Special Edition on Exoplanets. Files contain 4 Earth years of hourly time cadence outputs of basic climate fields. Hourly time-cadence is needed in order to grasp the temporal variations of circumbinaries.
DOI: 10.5281/zenodo.3972020
title: The Resilience of Habitable Climates Around Circumbinary Stars: 3D climate model data Part 2

description: Climate modeling outputs used in the paper, "The Resilience of Habitable Climates Around Circumbinary Stars", to be published JGR-Planets Special Edition on Exoplanets. Files contain 4 Earth years of hourly time cadence outputs of basic climate fields. Hourly time-cadence is needed in order to grasp the temporal variations of circumbinaries.
DOI: 10.25502/513v-yg51/d
title: Fruit hosts of fruit flies in Cameroon
DOI: 10.17632/m52mb6ptj7.1
title: Testing Dataset for Accelerated Superpixel Image Segmentation with a Parallelized DBSCAN Algorithm

description: This dataset consists of the processing output from the comparison of superpixel algorithms for the article "Accelerated Superpixel Image Segmentation with a Parallelized DBSCAN Algorithm". Division of images into groups of perceptually similar and proximate pixels is a necessary pre-processing step in many computer graphics algorithms such as image segmentation, classification, object tracking, and motion estimation. By reducing the number of operational units being processed into superpixels, the algorithms can run more efficiently and hence faster. The article describes the development of a new superpixel algorithm and compares its performance to the optimized algorithms in the OpenCV library and others selected based on their processing speed and quality. The new algorithm's segmentation performance in terms of Boundary Recall, Under-Segmentation Error, and Achievable Segmentation Accuracy are comparable to the OpenCV algorithms while performing between 4-135 times faster. The original images were obtained from the Berkeley Segmentation Data Set and Benchmarks 500 (BSDS500) and should be placed in the root folder of the dataset (*.jpg), while the ground truth MATLAB files (*.mat) should be placed in the folder "GroundTruth". The folders "GroundTruthBoundaries" and "GroundTruthSegmentation" are generated from the ground truth files and are used by the software to compare with the corresponding outputs from the respective superpixel algorithms in "OutlineImages" and "SegmentationImages" to generate the segmentation metrices. The folders "NoiseOutlineImages" and "NoiseSegmentationImages" are outputs generated from BSDS500 images that have increasing amounts of added uniform (salt-and-pepper) noise. The "Results" folder contains the output Excel spreadsheet and MATLAB script files to generate the graphs from the article. The "Images" sub-folder in the Results folder contains selected processed and segmented images that were used for visual comparison. The "ScanSegment" folder contains intermediate processing files, and the segmented output for CRS, ERS, ETPS, RT-DBSCAN (FastSuperpixel), and the new algorithm (ScanSegment). Segmentation output for the OpenCV algorithms are not included due to space limitations, but can be generated from the software.
DOI: 10.34740/kaggle/dsv/1399978
title: EfficientDet TensorFlow
DOI: 10.5285/a963d9415bb74247830f8704f825aa90
title: ESA Sea Surface Temperature Climate Change Initiative (SST_cci): GHRSST Multi-Product ensemble (GMPE), v2.0

description: The European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project (ESA SST_cci) has accurately determined the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified sea surface temperatures (SSTs) to a quality suitable for climate research. This GHRSST (Group for High Resolution Sea Surface Temperature) Multi-Product Ensemble (GMPE) dataset was produced by the ESA SST_cci project to facilitate comparison of its own spatially complete analyses with other level 4 SST analysis products. It provides the median and standard deviation of the ensemble of input analyses, differences between the individual analyses and the median, and gradients in the input data and the median. The outputs are provided on a 0.25˚ regular latitude-longitude grid. The product extends from 1 September 1981 to 31 December 2016. The product was generated using the following inputs: ESA SST_cci Analysis version 2.0; ESA SST_cci Analysis version 1.1; E.U. Copernicus Marine Environment Monitoring Service (CMEMS) SST information (the Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) Reprocessing); National Centers for Environmental Information (NCEI) Advanced Very High Resolution Radiometer (AVHRR) Optimal Interpolation (OI) Global Blended SST Analysis; Canada Meteorological Center (CMC) 0.2-degree Global Foundation SST Analysis; Hadley Centre Sea Ice and Sea Surface Temperature (HadISST) Analysis version 2.2.0.0 (10 realisations); Japan Meteorological Agency (JMA) Merged satellite and in-situ Data Global Daily SST (MGDSST) Analysis. Full details of the data used to generate this product are provided in the associated documentation.
DOI: 10.5281/zenodo.3973368
title: DIGGER dataset

description: All the necessary files to install DIGGER locally. <pre>Instruction: Download a copy of all the data files into domain/data.</pre> Source code: https://github.com/louadi/DIGGER
DOI: 10.5281/zenodo.3885676
title: DIGGER dataset

description: All the necessary files to install DIGGER locally. <pre>Instruction: Download a copy of all the data files into domain/data.</pre> Source code: https://github.com/louadi/DIGGER
DOI: 10.17632/bndtp9sx7w.1
title: MineralSupplementDB

description: Datasets generated for the manuscript "Shared use of mineral supplement in extensive farming and its potential for infection transmission at the wildlife-livestock interface"
DOI: 10.17632/4jrhfmc9jv.1
title: Neurocognitive inefficiencies and eating disorder symptoms in college women

description: Data are for a study on neurocognitive factors and eating disorder symptoms in college women study. It was hypothesized that women with overlapping inefficiencies in set-shifting and global processing would have higher ED symptoms than those with standalone neurocognitive inefficiencies or no inefficiency. Data include ED symptom dimension scores (EDE-Q) as well as reaction time and error scores for the WCST (set-shifting) and Navon task (global processing). BIS scores were calculated to represent efficiency on the WCST and Navon task. This project contains the data file for all participants used in analyses as well as a codebook for the data. Three responses were missing completely at random. Missing values were imputed using the Expectation Maximization algorithm. Data were screened for univariate outliers using z scores (greater than +/- 3.29). Five univariate outliers were winsorized by replacing with the next within-bound value. Two multivariate outlier was identified using Mahalanobis distance and was removed from the sample, resulting in a final sample of 142 participants. Median splits of BIS efficiency scores were utilized to classify individuals into one of four neurocognitive profile groups: 1) overlapping (both), 2) central coherence (CC), 3) set-shifting (SS), and 4) no (neither) inefficiencies. Spearkman rank correlation analyses were run between eating disorder symptoms and BIS efficiency scores. Kruskal-Wallis tests were run to compare mean rank WCST and Navon task reaction time and error scores across neurocognitive profile groups. Differences in mean rank eating disorder symptom scores by neurocognitve profile were also tested using Kruskal-Wallis tests. Pairwise comparisons were performed using Dunn’s procedure with Bonferroni correction for multiple comparisons. Results showed that women with overlapping inefficiencies had higher eating disorder symptoms than those with no inefficiency.
DOI: 10.17632/v3wpdnwrjs.1
title: Medical Comorbidities and Gender Distribution Among Patients with Lichen Planopilaris and Frontal Fibrosing Alopecia: A Retrospective Cohort Study- Supplementary Methods

description: We performed a retrospective cohort study at Columbia University Irving Medical Center (CUIMC) to investigate the gender distribution and comorbidities associated with lichen planopilaris (LPP) and frontal fibrosis alopecia (FFA). we have included the supplemental methods for this analysis here. The full paper is available through the Journal of the American Academy of Dermatology.
DOI: 10.17632/3vfxhr2m34.1
title: Buckling of epithelium growing under spherical confinement Trushko et al.

description: Raw data related to each figure and associated codes
DOI: 10.17632/nn442rvb8j.2
title: Whose tweets on COVID-19 gain the most attention: celebrities, politcal or scientific authorities?

description: Background Twitter has considerable capacity for health education and proves to be an efficient and popular communication tool in the COVID-19 pandemic. Although a number of stakeholders saturate Twitter with COVID-19-related information it remains unknown who disseminates information most efficaciously. Methods COVID-19-related tweets were obtained from Twitter accounts of health agencies, governmental authorities, universities, scientific journals, medical associations, and celebrities. The impact of posts was measured with the nominal and relative (%followers) number of likes and retweets. Sentiment analysis was conducted. Results We have identified 17,331 COVID-19-related tweets posted by 338 accounts in over four months since the virus began to spread. The largest number of likes was received by tweets of celebrities (median nominal, relative likes; 14,918, 0.036%), politicians (259, 0.174%), and health agencies (231, 0.007%). Most retweeted messages were also posted by celebrities (2,366, 0.005%), health agencies (130, 0.004%), and politicians (55, 0.041%). Retweets and likes peaked in March 2020 and the overall sentiment of the tweets was growing steadily. Whereas celebrities and politicians posted positive messages, the scientific and health authorities more often employed a negative vocabulary. The posts with positive sentiment gained more likes, and relative likes than non-positive. Conclusions During the pandemic, the tweets of celebrities, and politicians related to COVID-19 outperform those coming from health and scientific institutions. Active engagement of Twitter influencers may help key messages go viral.
DOI: 10.17632/nn442rvb8j.1
title: Whose tweets on COVID-19 gain the most attention: celebrities, politcal or scientific authorities?

description: Background Twitter has considerable capacity for health education and proves to be an efficient and popular communication tool in the COVID-19 pandemic. Although a number of stakeholders saturate Twitter with COVID-19-related information it remains unknown who disseminates information most efficaciously. Methods COVID-19-related tweets were obtained from Twitter accounts of health agencies, governmental authorities, universities, scientific journals, medical associations, and celebrities. The impact of posts was measured with the nominal and relative (%followers) number of likes and retweets. Sentiment analysis was conducted. Results We have identified 17,331 COVID-19-related tweets posted by 338 accounts in over four months since the virus began to spread. The largest number of likes was received by tweets of celebrities (median nominal, relative likes; 14,918, 0.036%), politicians (259, 0.174%), and health agencies (231, 0.007%). Most retweeted messages were also posted by celebrities (2,366, 0.005%), health agencies (130, 0.004%), and politicians (55, 0.041%). Retweets and likes peaked in March 2020 and the overall sentiment of the tweets was growing steadily. Whereas celebrities and politicians posted positive messages, the scientific and health authorities more often employed a negative vocabulary. The posts with positive sentiment gained more likes, and relative likes than non-positive. Conclusions During the pandemic, the tweets of celebrities, and politicians related to COVID-19 outperform those coming from health and scientific institutions. Active engagement of Twitter influencers may help key messages go viral.
DOI: 10.17632/mcg9xtmzjw.3
title: Non-contact measurement of the thickness of a surface film using a superimposed ultrasonic standing wave

description: This data provides the reader with a sample of raw data and processed data which was used for the measurement of surface film thickness using a superimposed ultrasonic standing wave. The reader is advised to refer to the research article "Non-contact measurement of the thickness of a surface film using a superimposed ultrasonic standing wave" for more information on this data and how to interpret it.
DOI: 10.17632/8h2kxxbvgz.1
title: File 7 The KEGG pathway annotation of the target genes predicted with the transcripts.

description: This dataset shows the KEGG pathway annotation of target genes predicted with DE miRNA and the transcripts
DOI: 10.17632/4vnndy59fp.1
title: CODEX, a neural network approach to explore signaling dynamics landscapes

description: Supplementary data and R/Python code required to reproduce the figures from the accompanying publication: Jacques et al. "CODEX, a neural network approach to explore signaling dynamics landscapes". Included datasets: * Single-cell ERK/Akt activity dynamics in responses to GF treatment. Acquired in-house by Paolo Gagliardi. * p53 responses to ionizing radiation. Data kindly provided by Galit Lahav and Jacob Ornstein-Stewart. * SMAD2 response to TGFb. Data kindly provided by Alexander Loewer. * Drosophila speed movement. Data obtained from https://github.com/benfulcher/hctsa_phenotypingFly * Synthetic data
DOI: 10.17632/f2h5cztnzz.1
title: File 6 The target genes of DE miRNAs identified from 8 comparisons in Chinese mitten crab (Eriocheir sinensis)

description: This dataset includes the information of target genes (ID, annotation). The target genes were predicted with the RNA-seq data of Chinese mitten crab (Eriocheir sinensis).
DOI: 10.17632/h4wjz45tpp.1
title: File 5 The differentially expressed miRNAs identified from 8 pairwise comparisons of Chinese mitten crab (Eriocheir sinensis)

description: The dataset lists the DE miRNAs identified from 8 comparisons in Chinese mitten crab (Eriocheir sinensis). It includes the miRNA ID, expression level, sequences of the DE miRNAs.
DOI: 10.17632/n4jpbhfjzg.1
title: File 4 The results of gene trend analyses

description: This dataset is the results of gene trend analyses for the RNA-seq of Chinese mitten crab (Eriocheir sinensis)
DOI: 10.17632/m5wthxf8n8.2
title: Supplementary material Table S1. Reported data for the 161 patients with PSTPIP1 variants.

description: *This "asymptomatic" patient experienced chronic fatigue, arthralgia and myalgia. **This patient is homozygous for the variant described. Heterozygous changes were identified in both of the patient’s parents and in 7 other family members, all of whom were asymptomatic except that 2 of the 9 family members exhibit active acne-like lesions or acne-associated scars on the back. Abbreviations: ACMG, American College of Medical Genetics; AIDs, autoinflammatory diseases; CD, Crohn disease; CRMO, chronic recurrent multifocal osteomyelitis; CRP, C-reactive protein; FRA, familial recurrent arthritis; HGVS, Human Genome Variation Society; FMF, familial Mediterranean fever; PAC, pyoderma gangrenosum with acne and ulcerative colitis; PAMI, PSTPIP1-associated myeloid-related proteinemia inflammatory syndrome; PAPA, pyogenic sterile arthritis, pyoderma gangrenosum, and acne; PG, pyoderma gangrenosum; PAPASH; pyoderma gangrenosum, acne and suppurative hidradenitis with pyogenic arthritis; PASH, pyoderma gangrenosum, acne and suppurative hidradenitis; VUS, variant of uncertain significance.
DOI: 10.17632/kscfwf7zg3.2
title: Python code to generate steel fibers and calculate the average fiber angle

description: The Python code can generate the randomly distributed steel fibers within a defined space and calculate the average fiber angle.
DOI: 10.17632/kscfwf7zg3.1
title: Python code to generate steel fibers and calculate the average fiber angle

description: The Python code can generate the randomly distributed steel fibers within a defined space and calculate the average fiber angle.
DOI: 10.17632/3c9k3mkdxy.1
title: File 3 The KEGG pathways enriched with the DEGs in Eriocheir sinensis

description: This dataset shows the results of KEGG pathway enrichment analyses of the DEGs.
DOI: 10.17632/d5sbfjfn3f.1
title: File 2 The list of DEGs identified from 8 pairwise comparisons in Eriocheir sinensis

description: This dataset listed the differentially expressed genes identified from 8 pairwise comparisons. The gene ID, FPKM and annotation of DEGs are shown in this dataset.
DOI: 10.17632/rxwynmyjvs.1
title: File 1 The statistics of mRNA and small RNA sequencing of Eriocheir sinensis

description: This dataset contains 7 sheets in the file. The sequencing information and data statistics were summarized in this dataset.
DOI: 10.17632/85px5v5cwc.1
title: The Teacher's World Survey

description: This the raw data collected from our survey conducted via Google Forms regarding TESOL teacher motivation. Questions from Part One ask teachers to report on their values. Questions from Part Two ask teachers to report on the current circumstances in their present job. Additionally, the last 4 questions ask them about their overall satisfaction from their current job, and career on the whole. Biodata and free-response sections were included at the end of the survey, though this was not quantitatively analyzed.
DOI: 10.17632/cs9hw7dp2z.3
title: Dataset for: The Contribution of the Geothermal Resources to Local Employment: Evidence from Poland

description: The dataset embraces the employment values used to conduct the Shift Share analysis. The number of employed inhabitants in the selected municipalities, poviats and voivodeships in Poland by the NACE sections is sourced from the dedicated online platform, the Local Data Bank. It is a dedicated tool of the Central Statistical Office in Poland and of open access nature. The data presents the number of employed inhabitants in the selected locations and areas in the two years 2005 and 2018, which are thereafter used for the comparative analysis based in the Shift Share method. Due to the structural arrangement of the Local Data Bank, the data is attained in five merged groups of the NACE specification of economic activities. However, the number of employed inhabitants according to the NACE coding on the municipality level is not available online. Therefore, the municipality employed number of inhabitants per each of the ten observations has been collected by a paid order at the Central Statistical Office. Due to the statistical limitations of the data on a NUTS-5 level in Poland, few unavailable employment figures had to be estimated based on the general employment trends and previous years data. These estimated numbers are marked in the dataset. Hence, we present a prepared data for the related research article and any further computations of employment categories according to the NACE classification.
DOI: 10.17632/hfk7fxt9fm.1
title: HR Analytics Dataset August 5 2020

description: Linking HR Analytics to Organizational Performance: Why, How, and When?
DOI: 10.17632/rfnxmcb73c.1
title: The genetic makeup of the electrocardiogram - Supplementary Data Files

description: Supplementary data files related to the article "The genetic makeup of the electrocardiogram" by Verweij et al. Data can also be viewed on www.ecgenetics.org
DOI: 10.17632/h76jzkxw3n.2
title: HRA and EBM

description: It is a dataset including variables such as people analytics, evidence-based management, organisational performance and the utilisation of technology.
DOI: 10.17632/8j793f24bb.1
title: Histone deacetylase 3 couples mitochondria to drive inflammation by configuring fatty acid oxidation