cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6801471
title: Search strategies for Varicella Vaccination

description: The dataset includes the complete, reproducible search strategies for all literature databases searched during the systematic review. The Endnote file contain all citations considered for inclusion in the review.
DOI: 10.17632/cddjxjyrh4.1
title: Resampling for Coordinate Transformation

description: Distorcida.txt: ID, C, R, x, y.  ID: point identification; C and R: point coordinate in the image coordinate system (Columns and Rows in the image, respectively); x and y given in [mm]: point coordinate in the grid body-fixed coordinate system (x: abscissa axis; y: ordinate axis). This dataset was used for the training and internal validation of the resampling methods in the neural network.

outdata.txt: ID, C, R, x, y.  ID: point identification; C and R: point coordinate in the image coordinate system (Columns and Rows in the image, respectively); x and y given in [mm]: point coordinate in the grid body-fixed coordinate system (x: abscissa axis; y: ordinate axis). This dataset was used for the external validation of the resampling methods-based neural network. This provide an unbiased evaluation of the resampling methods.

Image.jpg: image 817 ×680 pixels of the grid.

jack2d: Script in Matlab for the case of Delete-d Jackknife, with d = 2;
jack3d: Script in Matlab for the case of Delete-d Jackknife, with d = 3;
jack1DT: Script in Matlab for the case of Delete-1 Jackknife Trials;
mcd3:  Script in Matlab for the case of Hold-out trials cross-validation.
DOI: 10.5281/zenodo.3761928
title: Trampoline Gymnastics - World Age Group Competitions 1999-2019

description: Database including all medals awarded during the World Age Group Competitions in Trampoline Gymnastics (Individual Trampoline, Synchronized Trampoline, Tumbling and Double Minitrampoline) from 1999 until 2019
DOI: 10.5281/zenodo.5826196
title: QAH potential profile measurements

description: Dataset and analysis code accompanying the manuscript "Measured potential profile in a quantum anomalous Hall system suggests bulk-dominated current flow," available at https://arxiv.org/abs/2112.13123. Simulation code available at https://github.com/itrosen/hall-solver.
DOI: 10.5281/zenodo.5907073
title: JGR - Sturtz et al. part 1 - data from IHB05 and IHB33

description: Data showing the evolution of the floating lid thickness (IHB**_delta) and the bulk temperature (IHB**_T) as a function of time for experiment described in Sturtz et al. (2021,a - JGR, submitted).
DOI: 10.21227/t5s2-4j73
title: Eyes-defy-anemia

description: Anemia is a condition in which the oxygen-carrying capacity of red blood cells is insufficient to meet the body's physiological needs and affects billions of people worldwide. An early diagnosis of this disease could prevent the advancement of other disorders. Currently, traditional methods used to detect anemia consist of venipuncture, which requires a patient to frequently visit laboratories. Therefore, anemia diagnosis using noninvasive and cost effective methods is an open challenge. The pallor of the fingertips, palms, nail beds, and eye conjunctiva can be observed to establish whether a patient suffers from anemia. In response to this challenge, we studied several algorithm devoted to anemia detection. We also collected a new dataset that contain eye conjunctiva photos of Indian and Italian patients, made available to the Scientific Community on IEEE Dataport.Photos were captured by a smartphone equipped with a suitable device, whose details were previously presented in the literature by our team. Using photos of the eye, the palpebral or whole (palpebral and forniceal) conjunctiva were manually segmented. The dataset Eyes-defy-anemia contains 218 images of eyes, in particular conjunctivas, which can be used for research on the diagnosis/estimation of anemia based on the pallor of conjunctiva.The same images can be effectively used to study segmentation algorithms of conjunctivas or exposed parts of the sclera and iris. All images of the dataset are accompanied by segmented elements (palpebral, forniceal and palpebral + forniceal conjunctivas) useful both to directly correlate the pallor with the value of Hb, to assess the performance of segmentation algorithms. Each image is accompanied by essential information such as the value of Hb measured in the laboratory, age, and sex of the patient, listed in xlsx files.
DOI: 10.3886/e116802v1
title: Replication Data for: The Political Boundaries of Ethnic Divisions

description: We use a policy experiment in Indonesia to show how local political boundaries affect ethnic tension. Redrawing district borders along group lines reduces conflict. However, the gains in stability are undone or even reversed when new boundaries increase ethnic polarization. Greater polarization leads to more violence around majoritarian elections but has little effect around lower-stakes, proportional representation elections. These results point to distinct incentives for violence in winner-take-all settings with contestable public resources. Overall, our findings illustrate the promise and pitfalls of redrawing borders in diverse countries where it is infeasible for each group to have its own administrative unit.
DOI: 10.17632/9nz8gsj7tx.1
title: RoyalHawaiianBeach, Waikiki, DEMs

description: Data products collected in support of a project to quantify beach change and link changes to environmental drivers. Currently pending publication. This dataset contains 2 years of approximately weekly beach surveys of the Royal Hawaiian beach, Waikīkī. Data files for each survey include 1) processed 0.5 m resolution Digital Elevation Models obtained from High resolution point clouds (UAS) coupled with traditional total station surveys. 2) A text file containing points collected at the seaward edge of the beach (Low water mark) every ≈10 m. Spatial reference is WGS84 UTM zone4N, vertical datum is local mean sea level. Files are named by date of survey in the format YYYYMMDD_dataproduct.
Shapefiles include bounding boxes and vectors used in this study; including beach cross-shore transects, beach and nearshore segments (masks), and a landward boundary.
DOI: 10.21227/wcge-v904
title: Paired 3T-7T hippocampal subfield dataset

description: The paired 3T-7T MRI dataset includes T1- and T2-weighted whole-brain MRI of each participant performed on an investigational 7T MAGNETOM MR system with a 32-channel receiver and a 1-channel transmit birdcage head coil (Nova Medical, Wilmington, MA, USA) and a 3T MAGNETOM Prisma MR system equipped with a 64-channel eachphased-array head coil (Siemens Healthineers, Erlangen, Germany) on the same day at Beijing MRI Center for Brain Research (BMCBR). Twenty volunteers aged 18-25 years (10 males and 10 females) recruited from a university were enrolled.
The subiculum (SUB), cornu ammonis (CA)2, CA1, CA4-dentage gyrus (DG), entorhinal cortex (ERC), CA3 and Tail of hippocampus were manually delineated using ITK-SNAP (www.itksnap.org) based on a previously published protocol (Wisse et al., 2012) for the left and right hippocampus separately on every slice of the individual subjects’ ultrahigh resolution 7T T2-weighted images on the coronal plane.
DOI: 10.6084/m9.figshare.20545206
title: Morphology and fractal dimension of size-resolved soot particles emitted from combustion sources

description: data for Figure 1 and Figure 3
DOI: 10.5281/zenodo.7351604
title: Atmospheric chamber tests

description: <pre>measured data set, in an optical link with the influence of an atmospheric chamber</pre>
DOI: 10.5281/zenodo.7351605
title: Atmospheric chamber tests

description: <pre>measured data set, in an optical link with the influence of an atmospheric chamber</pre>
DOI: 10.5281/zenodo.7421277
title: Cp*2Eu(bipym)NiMe2

description: The dataset contains the primary data for compound 3
DOI: 10.5281/zenodo.7421276
title: Cp*2Eu(bipym)NiMe2

description: The dataset contains the primary data for compound 3
DOI: 10.6084/m9.figshare.16587311.v18
title: AREAdata updating output files

description: AREAdata output files for automatically updating climate averages. These are daily climate estimates based on the CDS ERA-5 reanalysis, see pearselab.github.io/areadata/.<br>File names begin with the climate variable given:temp = Temperaturespechumid = Specific Humidityrelhumid = Relative Humidityprecip = Precipiationuv = Ultraviolet<br>File names contain the administrative division level:<br>countries - highest administrative division<br>GID1 - lower administrative division, equivalent to states<br>GID2 - lower administrative division, equivalent to counties<br>Files downloadable as RDS files for direct use in the R statistical programming environment (appended .RDS), or as zip-compressed tab delimited files for other applications (appended .zip).<br>
DOI: 10.6084/m9.figshare.21706933
title: Cross-section asymptotic for random-effects panel data models with autoregressive errors

description: A useful strategy to examine serial correlation in panel regression models is to adopt serially correlated error terms. The random effect is also present to address the individual-specific heterogeneity. Familiar transformations can restructure the AR(1) process into a serially uncorrelated dynamic model. It may result in unfitting estimation results once the statistical inference is carried on the conditional likelihood. We discuss in the article the consequence of this action. In particular, in the case of large cross-section units and short time-sequences, we provide analytical expressions for the asymptotic bias of maximum likelihood estimates when the analyst naïvely neglects the initial conditions problem. Under several conditions, we compute the size of biases and measure the mean squared errors to illustrate this violation. We also construct a joint regression model of the initial and subsequent responses to handle the initial conditions. Then, we conduct simulation studies to determine the asymptotic behavior.
DOI: 10.6084/m9.figshare.21706933.v1
title: Cross-section asymptotic for random-effects panel data models with autoregressive errors

description: A useful strategy to examine serial correlation in panel regression models is to adopt serially correlated error terms. The random effect is also present to address the individual-specific heterogeneity. Familiar transformations can restructure the AR(1) process into a serially uncorrelated dynamic model. It may result in unfitting estimation results once the statistical inference is carried on the conditional likelihood. We discuss in the article the consequence of this action. In particular, in the case of large cross-section units and short time-sequences, we provide analytical expressions for the asymptotic bias of maximum likelihood estimates when the analyst naïvely neglects the initial conditions problem. Under several conditions, we compute the size of biases and measure the mean squared errors to illustrate this violation. We also construct a joint regression model of the initial and subsequent responses to handle the initial conditions. Then, we conduct simulation studies to determine the asymptotic behavior.
DOI: 10.5281/zenodo.7421379
title: Healthy lifestyle practice, treatment, and control status of diagnosed hypertension and diabetes among the government nurses and para-health professionals of Bangladesh: A cross-sectional study

description: This is the data of nurses and para-health professionals in Bangladesh.
DOI: 10.5281/zenodo.7421378
title: Healthy lifestyle practice, treatment, and control status of diagnosed hypertension and diabetes among the government nurses and para-health professionals of Bangladesh: A cross-sectional study

description: This is the data of nurses and para-health professionals in Bangladesh.
DOI: 10.34740/kaggle/dsv/4701450
title: Elon Musk Tweets
DOI: 10.5281/zenodo.7421470
title: Force-length data

description: Raw data used to create the figures and tables presented in the manuscript entitled "The force-length relation of the young adult human tibialis anterior".
DOI: 10.5281/zenodo.7421469
title: Force-length data

description: Raw data used to create the figures and tables presented in the manuscript entitled "The force-length relation of the young adult human tibialis anterior".
DOI: 10.21227/wst1-8y06
title: IoT Sensor Data for Anomaly Detection within Smart Buildings 

description: This dataset contains sensor data collected from 35 sensor nodes deployed in a university building. Each node contains Particulate Matter- PM2.5 and PM10, CO2 (carbon dioxide), NO2 (Nitrogen Dioxide), O3 (Ozone), Temperature, Humidity, Motion, Sound, Infrasound,  Air Pressure, Visible Light VOC (Volatile organic compounds) sensors.
DOI: 10.34740/kaggle/dsv/4701656
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.5281/zenodo.7420070
title: An open heterologous booster database for COVID-19 vaccines

description: The development and deployment of vaccines have played a critical role in the control and management of the COVID-19 pandemic. Although homologous vaccination regimens (i.e. vaccinations where individuals received both prime and boost from the same commercial source) were widely administered, many recent studies have shown improved protection from mix-and-match heterologous prime-boost strategies. While most ongoing studies or clinical trials only focus on single or a limited number of heterologous prime-boost regimens, the general landscape of heterologous boosting is not well established. To better study this, the OpenData Portal (ODP) team at the National Center for Advancing Translational Sciences (NCATS) is building an open database for heterologous boost data which actively tracks the clinically tested and varied heterologous vaccination strategies. Preprints and peer-reviewed publications were curated to aggregate <em>in vitro</em> activity data and metadata pertaining to homologous and heterologous vaccine regimens. This database will allow users to investigate the reported <em>in vitro</em> effectiveness of heterologous boosters compared to corresponding homologous boosters. Our efforts to establish the open heterologous boost database aims to provide a high-level overview of current heterologous boosting studies and contribute to the improvement of vaccination strategies for COVID-19 and other pathogens of pandemic potential in the future.
DOI: 10.5281/zenodo.7420071
title: An open heterologous booster database for COVID-19 vaccines

description: The development and deployment of vaccines have played a critical role in the control and management of the COVID-19 pandemic. Although homologous vaccination regimens (i.e. vaccinations where individuals received both prime and boost from the same commercial source) were widely administered, many recent studies have shown improved protection from mix-and-match heterologous prime-boost strategies. While most ongoing studies or clinical trials only focus on single or a limited number of heterologous prime-boost regimens, the general landscape of heterologous boosting is not well established. To better study this, the OpenData Portal (ODP) team at the National Center for Advancing Translational Sciences (NCATS) is building an open database for heterologous boost data which actively tracks the clinically tested and varied heterologous vaccination strategies. Preprints and peer-reviewed publications were curated to aggregate <em>in vitro</em> activity data and metadata pertaining to homologous and heterologous vaccine regimens. This database will allow users to investigate the reported <em>in vitro</em> effectiveness of heterologous boosters compared to corresponding homologous boosters. Our efforts to establish the open heterologous boost database aims to provide a high-level overview of current heterologous boosting studies and contribute to the improvement of vaccination strategies for COVID-19 and other pathogens of pandemic potential in the future.
DOI: 10.21227/8b7r-5e87
title: Cyber-Physical Smart Home Dataset for Anomaly Detection

description: This dataset contains cyber and physical data collected within a smart home. It contacts all the network traffic data, smart device data, and IoT sensor data collected from a heterogeneous set of smart devices and sensors.
DOI: 10.6084/m9.figshare.16912366.v8
title: antspymm helper data

description: multi-channel and time series example data for antsx processing
DOI: 10.34740/kaggle/dsv/4701784
title: YouTube Daily
DOI: 10.5281/zenodo.5110879
title: A case study on automatic summarization for gray literature

description: Replication package for a case study on using PositionRank to automatic summarize blog posts based on the Spicy implementation of the algorithm
DOI: 10.5281/zenodo.5110880
title: A case study on automatic summarization for gray literature

description: Replication package for a case study on using PositionRank to automatic summarize blog posts based on the Spicy implementation of the algorithm
DOI: 10.6084/m9.figshare.21706988
title: Raw data

description: Raw data file
DOI: 10.6084/m9.figshare.21706988.v1
title: Raw data

description: Raw data file
DOI: 10.21227/1gv6-th83
title: Man-in-the-Middle Attack in Advanced Metering Infrastructure dataset

description: The Advanced Metering Infrastructure is established in Electrical Drives Laboratory, School of Electrical and Electronics Engineering, SASTRA Deemed to be University, Thanjavur, Tamil Nadu,India. Further, the ARP spoofing attack emulation is deliberated between Smart Meter and Utility Center  through Ettercap tool in two different test beds by incorporating Modbus TCP/IP and MQTT.Then, the benign and malicious traffic patterns of two protocols are captured using Wireshark to form the dataset.
DOI: 10.15454/rcgzzr/v6iwbh
title: CDBBI_18P09_CM.zip

description: 36 NMR spectra directories in Bruker format
DOI: 10.15454/rcgzzr/50ytey
title: DATA-AM_WB_CDBBI_18P09_CM 26 juillet 2019 export CSN et SNR 10.xls

description: Table of the relative quantification by 1D 1H-NMR of semipolar extract of gpb1-c mutants and wild type tomato fruit pericarp.
DOI: 10.15454/rcgzzr/cuarbu
title: Summary of NMR annotation of semi-polar extracts of tomato fruit pericarp.tab

description: List of metabolites detected in the 1H-NMR spectra (500 MHz) of semi-polar extracts of tomato fruit pericarp.
DOI: 10.15454/rcgzzr/hphgk6
title: buckets_CDBBI_18P09_CM 26 juillet 2019.txt

description: Bucket file to be used with NMRProcFlow tool
DOI: 10.15454/rcgzzr/hv5x9l
title: CDBBI_18P09_CM.txt

description: File with the name of the samples and factors (fruit growth stages; WT, mutant lines), to be used with NMRProcFlow tool
DOI: 10.15454/rcgzzr/bravbq
title: 0_Read_me MET2018-P09-CM.pdf

description: Documentation describing the files of the NMR dataset to be used with NMRProcFlow and BioStatFlow tools to replay the processing.
DOI: 10.15454/rcgzzr/kjsrl0
title: 1_NMR MatMet MET2018-P09-CM v3.pdf

description: Detailed Material and Method used in the manuscript Musseau etal. 2020 for Metabolomic analyses by proton NMR profiling.
DOI: 10.15454/rcgzzr/njov5b
title: NP_macro_cmd_CDBBI_18P09_CM.txt

description: MacroCommand file to be used with NMRProcFlow tool for local baseline and realignement processing before bucketing of 1D NMR spectra
DOI: 10.15454/rcgzzr/qt6cok
title: DATA-AM_WB_CDBBI_18P09_CM 26 juillet 2019 export CSN et SNR 10.csv

description: Table of the relative quantification by 1D 1H-NMR of semipolar extract of gpb1-c mutants and wild type tomato fruit pericarp.
DOI: 10.15454/rcgzzr/rdom21
title: NMR Rosetta stone - Sample name codes.pdf

description: Correspondance table of sample names used in NMR dataset and in the publication Musseau et al. 2020
DOI: 10.6084/m9.figshare.21707006
title: Online algorithms for ambulance routing in disaster response with time-varying victim conditions

description: This is the data set used in the study titled "Online algorithms for ambulance routing in disaster response with time-varying victim conditions"
DOI: 10.5281/zenodo.7421684
title: 43 longevity-associated SNPs genotyped in a Croatian sample of oldest-old individuals

description: This dataset presents genotype data for 43 single nucleotide polymorphisms (SNPs) that have been genotyped in an anonymised sample of 314 oldest-old individuals (85+ years) from Croatia. The SNPs are located in or near candidate genes for longevity, and were selected from publicly available literature databases (PubMed and repositories specialized for human longevity such as https://genomics.senescence.info/longevity/, http://ageing-map.org/). They were selected based on their strong or repeatedly reported association with human longevity and involvement in various metabolic pathways. Genotyping was performed by Kompetitive Allele Specific PCR (KASP) on genomic DNA isolated from peripheral blood using the salting-out method. The dataset also contains recoding of the genotypes for each participant according to their association with longevity: a value of 2 was assigned to the homozygous genotype of longevity allele, a value of 1 to the heterozygous genotype, and a value of 0 to the homozygous genotype of an allele not associated with longevity in our sample. In cases where there were less than 10 of either homozygous genotypes, and in cases where a dominant or recessive coding gave a more significant result in further analyses, they were additionally recoded as binary variables with only the values 0 and 1, with heterozygote being added to the less common homozygote. This data was used to perform logistic regression analyses to create the best models for predicting survival to the ages of 90 and 95. Those models were then used to create genetic risk scores (here named genetic longevity scores, GLS) for predicting that phenotype, which are shown in this dataset as well. Information about the selected SNPs is also presented: rs code, nearest gene, chromosome position, and references for literature sources where association with longevity is reported; along with data that refers to the studied Croatian population: alleles (major/minor), minor allele frequencies (MAF), genotyping success rate, and HWE p-values.
description: Research funded by Croatian Science Foundation (grant number IP-01-2018-2497).