cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.15048956
title: Additional file 2 of Differences in oxylipin profile in psoriasis versus psoriatic arthritis

description: Additional file 2: Supplementary Table 1. Characteristics of PsO patients with low (PASI ≤ 2.5) and high (PASI &gt; 2.5) skin disease activity. Supplementary Table 2. Comparison of oxylipins between PsO patients with low (PASI ≤ 2.5) and high (PASI &gt; 2.5) skin disease activity. The average value for each oxylipin is presented, along with the significance of the comparison. Significantly different oxylipins are marked in red. Supplementary Table 3. Correlation of oxylipins with PASI in PsO patients. The correlation coefficients for each oxylipin are presented, along with the significance level. Significant correlations are marked in red. Supplementary Table 4. Correlation of oxylipins with BMI in PsA patients. The correlation coefficients for each oxylipin are presented, along with the significance level. Significant correlations are marked in red. Supplementary Table 5. Characteristics of PsA patients with low (PASI ≤ 2.5) and high (PASI &gt; 2.5) skin disease activity. Supplementary Table 6. Comparison of oxylipins in PsA patients with high (PASI &gt; 2.5) versus low (PASI ≤ 2.5) skin disease activity. The average value for each oxylipin is presented, along with the significance of the comparison. Significantly different oxylipins are marked in red. Supplementary Table 7. Correlation of oxylipins with PASI in PsA patients. The correlation coefficients for each oxylipin are presented, along with the significance level. Significant correlations are marked in red. Supplementary Table 8. Comparison of oxylipins in patients with high (PASI &gt; 2.5) versus low (PASI ≤ 2.5) skin disease activity (both cohorts combined). The average value for each oxylipin is presented, along with the significance of the comparison. Significantly different oxylipins are marked in red. Supplementary Table 9. Correlation of oxylipins with mNAPSI (both cohorts combined). The correlation coefficients for each oxylipin are presented, along with the significance level. Significant correlations are marked in red. Supplementary Table 10. Comparison of oxylipins between patients with cDAPSA 13. The average value for each oxylipin is presented, along with the significance of the comparison. Significantly different oxylipins are marked in red. Supplementary Table 11. Comparison of oxylipins between PsA patients with cDAPSA
DOI: 10.6084/m9.figshare.15048956.v1
title: Additional file 2 of Differences in oxylipin profile in psoriasis versus psoriatic arthritis

description: Additional file 2: Supplementary Table 1. Characteristics of PsO patients with low (PASI ≤ 2.5) and high (PASI &gt; 2.5) skin disease activity. Supplementary Table 2. Comparison of oxylipins between PsO patients with low (PASI ≤ 2.5) and high (PASI &gt; 2.5) skin disease activity. The average value for each oxylipin is presented, along with the significance of the comparison. Significantly different oxylipins are marked in red. Supplementary Table 3. Correlation of oxylipins with PASI in PsO patients. The correlation coefficients for each oxylipin are presented, along with the significance level. Significant correlations are marked in red. Supplementary Table 4. Correlation of oxylipins with BMI in PsA patients. The correlation coefficients for each oxylipin are presented, along with the significance level. Significant correlations are marked in red. Supplementary Table 5. Characteristics of PsA patients with low (PASI ≤ 2.5) and high (PASI &gt; 2.5) skin disease activity. Supplementary Table 6. Comparison of oxylipins in PsA patients with high (PASI &gt; 2.5) versus low (PASI ≤ 2.5) skin disease activity. The average value for each oxylipin is presented, along with the significance of the comparison. Significantly different oxylipins are marked in red. Supplementary Table 7. Correlation of oxylipins with PASI in PsA patients. The correlation coefficients for each oxylipin are presented, along with the significance level. Significant correlations are marked in red. Supplementary Table 8. Comparison of oxylipins in patients with high (PASI &gt; 2.5) versus low (PASI ≤ 2.5) skin disease activity (both cohorts combined). The average value for each oxylipin is presented, along with the significance of the comparison. Significantly different oxylipins are marked in red. Supplementary Table 9. Correlation of oxylipins with mNAPSI (both cohorts combined). The correlation coefficients for each oxylipin are presented, along with the significance level. Significant correlations are marked in red. Supplementary Table 10. Comparison of oxylipins between patients with cDAPSA 13. The average value for each oxylipin is presented, along with the significance of the comparison. Significantly different oxylipins are marked in red. Supplementary Table 11. Comparison of oxylipins between PsA patients with cDAPSA
DOI: 10.6084/m9.figshare.15049017
title: Additional file 2 of Uncovering the effects of heterogeneity and parameter sensitivity on within-host dynamics of disease: malaria as a case study

description: Additional file 2. Anderson analysis (Mathematica notebook).
DOI: 10.6084/m9.figshare.15049017.v1
title: Additional file 2 of Uncovering the effects of heterogeneity and parameter sensitivity on within-host dynamics of disease: malaria as a case study

description: Additional file 2. Anderson analysis (Mathematica notebook).
DOI: 10.6084/m9.figshare.15049020
title: Additional file 3 of Uncovering the effects of heterogeneity and parameter sensitivity on within-host dynamics of disease: malaria as a case study

description: Additional file 3. Li analysis (Mathematica notebook).
DOI: 10.6084/m9.figshare.15049020.v1
title: Additional file 3 of Uncovering the effects of heterogeneity and parameter sensitivity on within-host dynamics of disease: malaria as a case study

description: Additional file 3. Li analysis (Mathematica notebook).
DOI: 10.6084/m9.figshare.15049023
title: Additional file 4 of Uncovering the effects of heterogeneity and parameter sensitivity on within-host dynamics of disease: malaria as a case study

description: Additional file 4. Niger analysis (Mathematica notebook).
DOI: 10.6084/m9.figshare.15049023.v1
title: Additional file 4 of Uncovering the effects of heterogeneity and parameter sensitivity on within-host dynamics of disease: malaria as a case study

description: Additional file 4. Niger analysis (Mathematica notebook).
DOI: 10.6084/m9.figshare.15049026
title: Additional file 5 of Uncovering the effects of heterogeneity and parameter sensitivity on within-host dynamics of disease: malaria as a case study

description: Additional file 5. Okrinya analysis (Mathematica notebook).
DOI: 10.6084/m9.figshare.15049026.v1
title: Additional file 5 of Uncovering the effects of heterogeneity and parameter sensitivity on within-host dynamics of disease: malaria as a case study

description: Additional file 5. Okrinya analysis (Mathematica notebook).
DOI: 10.6084/m9.figshare.15049034
title: Additional file 1 of Statistical analysis of two arm randomized pre-post designs with one post-treatment measurement

description: Additional file 1.
DOI: 10.6084/m9.figshare.15049034.v1
title: Additional file 1 of Statistical analysis of two arm randomized pre-post designs with one post-treatment measurement

description: Additional file 1.
DOI: 10.6084/m9.figshare.15049074.v1
title: Additional file 5 of Comprehensive analysis of formin gene family highlights candidate genes related to pollen cytoskeleton and male fertility in wheat (Triticum aestivum L.)

description: Additional file 5: Table S1. The interaction of miRNAs with TaFH genes. Table S2. The primers of the qRT-RCR in TaFHs.
DOI: 10.6084/m9.figshare.15049074
title: Additional file 5 of Comprehensive analysis of formin gene family highlights candidate genes related to pollen cytoskeleton and male fertility in wheat (Triticum aestivum L.)

description: Additional file 5: Table S1. The interaction of miRNAs with TaFH genes. Table S2. The primers of the qRT-RCR in TaFHs.
DOI: 10.5281/zenodo.5135839
title: An Assessment of Nonhydrostatic and Hydrostatic Dynamical Cores at Seasonal Time Scales in the Energy Exascale Earth System Model (E3SMv1)

description: This is the companion data for the manuscript of the same title, submitted to Journal of Advances in Modeling Earth Systems on 07/24/2021. <strong>summer: </strong>this folder contains part of the model outputs I ran on NERSC Cori in 2020-2021 corresponding to the summer simulations in the manuscript. <strong>winter: </strong>this folder contains part of the outputs I ran on NERSC Cori in 2020-2021 corresponding to the winter simulations in the manuscript. <strong>ne256: </strong>this folder contains part of the outputs I ran on NERSC Cori in 2021 corresponding to the ne256 simulations in the manuscript. Unfortunately, model outputs are too large (~ 30 TB). Therefore, I only provide mean data, used directly to generate figures, in this repository. All model output are archived on tape at NERSC. For more details, refer to the manuscript, or contact me (wrliu@ucdavis.edu).
DOI: 10.6084/m9.figshare.7533158.v1
title: 国际金融风险及持币成本的测度附表

description: 覆盖《<b>经济开放与货币需求：</b><b>国际金融风险及持币成本的测度</b>》正文中未报告的结果。
DOI: 10.5517/ccdc.csd.cc1n5s5s
title: CCDC 1524895: Experimental Crystal Structure Determination

description: Related Article: Lianjun Song, Xueyu Wang, Dongqi Wang, Qian Xiao, Haowei Xu, Qiuju Li, Lanlan He, Songdong Ding|2021|Sep.Purif.Technol.|276|119262|doi:10.1016/j.seppur.2021.119262
DOI: 10.18112/openneuro.ds003740.v1.0.0
title: Ambulatory EEG Study
DOI: 10.5517/ccdc.csd.cc27wknc
title: CCDC 2082073: Experimental Crystal Structure Determination

description: Related Article: Shenjie Wu, Daming Ren, Kang Zhou, Hai-Lun Xia, Xiao-Yuan Liu, Xiaotai Wang, Jing Li|2021|J.Am.Chem.Soc.|143|10547|doi:10.1021/jacs.1c04810
DOI: 10.5517/ccdc.csd.cc27wkpd
title: CCDC 2082074: Experimental Crystal Structure Determination

description: Related Article: Shenjie Wu, Daming Ren, Kang Zhou, Hai-Lun Xia, Xiao-Yuan Liu, Xiaotai Wang, Jing Li|2021|J.Am.Chem.Soc.|143|10547|doi:10.1021/jacs.1c04810
DOI: 10.5517/ccdc.csd.cc281ctj
title: CCDC 2086697: Experimental Crystal Structure Determination

description: Related Article: Kuan Yu, Fengjie Yao, Qingrui Zeng, Hujun Xie, Hanfeng Ding|2021|J.Am.Chem.Soc.|143|10576|doi:10.1021/jacs.1c05703
DOI: 10.5517/ccdc.csd.cc281cvk
title: CCDC 2086698: Experimental Crystal Structure Determination

description: Related Article: Kuan Yu, Fengjie Yao, Qingrui Zeng, Hujun Xie, Hanfeng Ding|2021|J.Am.Chem.Soc.|143|10576|doi:10.1021/jacs.1c05703
DOI: 10.5517/ccdc.csd.cc281cwl
title: CCDC 2086699: Experimental Crystal Structure Determination

description: Related Article: Kuan Yu, Fengjie Yao, Qingrui Zeng, Hujun Xie, Hanfeng Ding|2021|J.Am.Chem.Soc.|143|10576|doi:10.1021/jacs.1c05703
DOI: 10.5517/ccdc.csd.cc281cxm
title: CCDC 2086700: Experimental Crystal Structure Determination

description: Related Article: Kuan Yu, Fengjie Yao, Qingrui Zeng, Hujun Xie, Hanfeng Ding|2021|J.Am.Chem.Soc.|143|10576|doi:10.1021/jacs.1c05703
DOI: 10.5281/zenodo.4897616
title: Twitter Data of the #BlackLivesMatter Movement And Counter Protests: 2013 to 2020

description: This data set contains all currently available tweets from the beginning of the Black Lives Matter (BLM) movement in 2013 to September 2020. All tweets contain the following keywords BlackLivesMatter, AllLivesMatter, and BlueLivesMatter, or some variation (e.g., #blacklivesmatter or black lives matter). The data set consists of 56.1 million tweets from 11.7 million users. A full description of the data set and data collection methods are available here. Instructions on pulling the Twitter data from the Twitter API are here. Please use the following citation if you use this data in a paper: Giorgi, S., Guntuku, S. C., Rahman, M., Himelein-Wachowiak, M., Kwarteng, A., & Curtis, B. (2020). Twitter Corpus of the# BlackLivesMatter Movement And Counter Protests: 2013 to 2020. arXiv preprint arXiv:2009.00596.
DOI: 10.6084/m9.figshare.15034866
title: 数据上传.xlsx

description: 土壤微生物和酶参与土壤物质的代谢，是评价土壤质量的常用参考。 为了确定长效除草剂氟磺胺草醚的推荐用量和双推荐用量对大豆田土壤酶和微生物群落结构的影响， 采用高效液相色谱法（HPLC）测定氟磺胺草醚残留水平的动态变化，比色法测定土壤酶活性，传统微生物平板计数法测定主要可培养微生物的生物量， 气相色谱-质谱法(GC-MS)测定磷脂脂肪酸的种类和含量(PLFA) 在土壤中。
DOI: 10.15151/esrf-es-462408098
title: Time-resolved SAXS/WAXS studies during polyethylene block copolymer synthesis

description: We wish to conduct time-resolved SAXS/WAXS studies during the controlled radical polymerization (CRP) of ethylene in dimethyl carbonate (DMC) using a functionalized poly(ethylene oxide). During their synthesis, these poly(ethylene oxide)-b-polyethylene (PEO-PE) block copolymers self-assemble into worm-like nanoparticles in a process termed polymerization-induced crystallization-driven self-assembly (PI-CDSA). We will monitor the formation and growth of such nano-objects during their synthesis using SAXS to provide information on the nanoparticle dimensions (length, width, number of chains per particle etc.), and WAXS to study the kinetics and influence of PE crystallization. We envisage at least one high-profile publication to arise from this beam time application and these will be the first studies of their kind. Considering the undoubted industrial relevance of PE, we anticipate that this work will be of great interest to the polymer science community in both academia and industry.
DOI: 10.15151/esrf-es-404438644
title: Surface morphology of coatings with segregating block copolymers

description: Polymer surfaces can be functionalised by blending with a small amount of amphiphilic block copolymer, where segregation of the low surface energy block imparts significant changes in surface properties. We propose to investigate the surface morphology of solvent-borne coating formulations functionalised with a surface-active block copolymer using X-ray reflectivity and depth-resolved GISAXS at different grazing angles. We hope to obtain detailed information about block copolymer structuring within the top coating layer, which will complement our previous in-house X-ray Photoelectron Spectroscopy (XPS) studies on these systems and give valuable insight into the complex and still relatively unknown behaviour of these broadly applicable materials.
DOI: 10.15151/esrf-es-440210815
title: Nanoscintillator-photosensitizer conjugate for X-ray induced photodynamic therapy : in vitro studies

description: The aim of this proposal is to study the ability of radioluminescent nanoparticles (nanoscintillators) to potentiate synchrotron radiotherapy by inducing deep-tissue photodynamic therapy (PDT) and radiation dose-enhancement effect (RDE). While the RDE effect results from an excess of energy deposited by photo- and Auger electrons that are created when X-rays interact with heavy-elements, PDT relies on photosensitizers (PS) that generate cytotoxic species upon light activation. As light penetrates weakly in tissues, PDT is usually limited to superficial tumors. To reach deep tumors, nanoscintillators can be used to locally convert X-rays into visible light and remotely induce PDT. In this project, we will investigate the ability of a nanoscintillator (Lu3Al5O12:Pr) conjugated to a clinically used PS (protoporphyrin IX, PpIX) to induce a PDT and RDE effect in vitro in 2D and 3D cultures of pancreatic tumors.
DOI: 10.21227/cffm-ha76
title: Simulation data-A Trust Management Method against Abnormal Behavior of Industrial Control Networks under Active Defense Architecture

description: The data set contains 9 MATLAB code files.
DOI: 10.5281/zenodo.4726658
title: [old] Data used in the GRL paper titled "Climatology of Tropical Cyclone Seed Frequency and Survival Rate in Tropical Cyclones"

description: Data used in the GRL paper titled "Climatology of Tropical Cyclone Seed Frequency and Survival Rate in Tropical Cyclones" by Ikehata and Satoh Please download and decompress the zip file. We describe details of this dataset in "readme.txt".
DOI: 10.5281/zenodo.4726657
title: [old] Data used in the GRL paper titled "Climatology of Tropical Cyclone Seed Frequency and Survival Rate in Tropical Cyclones"

description: Data used in the GRL paper titled "Climatology of Tropical Cyclone Seed Frequency and Survival Rate in Tropical Cyclones" by Ikehata and Satoh Please download and decompress the zip file. We describe details of this dataset in "readme.txt".
DOI: 10.6084/m9.figshare.15049161.v1
title: Non-destructive Identification of Natural Aging Alfalfa Seeds via Multispectral Imaging Analysis

description: Non-destructive Identification of Natural Aging Alfalfa Seeds via Multispectral Imaging Analysis
DOI: 10.6084/m9.figshare.15049161
title: Non-destructive Identification of Natural Aging Alfalfa Seeds via Multispectral Imaging Analysis

description: Non-destructive Identification of Natural Aging Alfalfa Seeds via Multispectral Imaging Analysis
DOI: 10.5281/zenodo.5136303
title: Landsat NDVI and UAV NDVI data for glacier forelands analysis

description: Raster of NDVI derived from Landsat 8 data (30-m resolution) and UAV (12-cm resolution).
DOI: 10.5281/zenodo.5136302
title: Landsat NDVI and UAV NDVI data for glacier forelands analysis

description: Raster of NDVI derived from Landsat 8 data (30-m resolution) and UAV (12-cm resolution).
DOI: 10.34740/kaggle/dsv/2460583
title: LUFlow Network Intrusion Detection Data Set
DOI: 10.5281/zenodo.5119527
title: Instant classification for the spatially-coded BCI

description: The archive contains EEG data from a newly developed brain-computer interface paradigm. The method is described in [1], and the dataset has been recorded for the application described in [2]. Each file in the archive contains data from the online session of the respective participant. The Matlab data structure contains the following fields: data. fsample: sampling rate (512 Hz)<br> data.trial: EEG signals for each trial<br> data.time: sampling time points<br> data.classified: classifier output for each step<br> data.class: true class<br> data.accuracy: classification accuracy<br> data.probability: posterior class probabilities [1] Maye A, Zhang D, Engel AK (2017) "Utilizing Retinotopic Mapping for a Multi-Target SSVEP BCI With a Single Flicker Frequency", IEEE Transactions on Neural Systems and Rehabilitation Engineering, in press. [2] Maÿe A. Rauterberg R, Engel AK (2021) "Instant classification for the spatially-coded BCI", PLoS ONE, iunder review.
description: The work was supported by the German research Foundation (DFG www.dfg.de) through project TRR 169/B1.
DOI: 10.5281/zenodo.5119526
title: Instant classification for the spatially-coded BCI

description: The archive contains EEG data from a newly developed brain-computer interface paradigm. The method is described in [1], and the dataset has been recorded for the application described in [2]. Each file in the archive contains data from the online session of the respective participant. The Matlab data structure contains the following fields: data. fsample: sampling rate (512 Hz)<br> data.trial: EEG signals for each trial<br> data.time: sampling time points<br> data.classified: classifier output for each step<br> data.class: true class<br> data.accuracy: classification accuracy<br> data.probability: posterior class probabilities [1] Maye A, Zhang D, Engel AK (2017) "Utilizing Retinotopic Mapping for a Multi-Target SSVEP BCI With a Single Flicker Frequency", IEEE Transactions on Neural Systems and Rehabilitation Engineering, in press. [2] Maÿe A. Rauterberg R, Engel AK (2021) "Instant classification for the spatially-coded BCI", PLoS ONE, iunder review.
description: The work was supported by the German research Foundation (DFG www.dfg.de) through project TRR 169/B1.
DOI: 10.5281/zenodo.5136342
title: synthetic dataset covid-19 PER

description: Synthetic dataset for outbreaks col-per 2021
DOI: 10.5281/zenodo.4915888
title: synthetic dataset covid-19 PER

description: Synthetic dataset for outbreaks col-per 2021
DOI: 10.6084/m9.figshare.14724678
title: Vietnam regional SRB estimates from 1980 to 2020

description: <b>S2 Dataset. Sex ratio at birth estimates by Vietnam region from 1980 to 2020.</b><b><br></b><b>Dataset for:</b>Chao F, Guilmoto CZ, Ombao H (2021) Sex ratio at birth in Vietnam among six subnational regions during 1980–2050, estimation and probabilistic projection using a Bayesian hierarchical time series model with 2.9 million birth records. PLoS ONE 16(7): e0253721. https://doi.org/10.1371/journal.pone.0253721<b><br></b>
DOI: 10.6084/m9.figshare.14724678.v2
title: Vietnam regional SRB estimates from 1980 to 2020

description: <b>S2 Dataset. Sex ratio at birth estimates by Vietnam region from 1980 to 2020.</b><b><br></b><b>Dataset for:</b>Chao F, Guilmoto CZ, Ombao H (2021) Sex ratio at birth in Vietnam among six subnational regions during 1980–2050, estimation and probabilistic projection using a Bayesian hierarchical time series model with 2.9 million birth records. PLoS ONE 16(7): e0253721. https://doi.org/10.1371/journal.pone.0253721<b><br></b>
DOI: 10.6084/m9.figshare.14724678.v1
title: Vietnam regional SRB estimates from 1980 to 2020

description: <b>S2 Dataset. Sex ratio at birth estimates by Vietnam region from 1980 to 2020.</b>
DOI: 10.6084/m9.figshare.14724696
title: Sex ratio at birth projections by Vietnam region from 2021 to 2050

description: <b>S3 Dataset. Sex ratio at birth projections by Vietnam region from 2021 to 2050.</b><b><br></b><b>Dataset for:</b>Chao F, Guilmoto CZ, Ombao H (2021) Sex ratio at birth in Vietnam among six subnational regions during 1980–2050, estimation and probabilistic projection using a Bayesian hierarchical time series model with 2.9 million birth records. PLoS ONE 16(7): e0253721. https://doi.org/10.1371/journal.pone.0253721<b><br></b>
DOI: 10.6084/m9.figshare.14724696.v1
title: Sex ratio at birth projections by Vietnam region from 2021 to 2050

description: <b>S3 Dataset. Sex ratio at birth projections by Vietnam region from 2021 to 2050.</b>
DOI: 10.6084/m9.figshare.14724636
title: Vietnam regional SRB database

description: <b>S1 Dataset. Sex ratio at birth by Vietnam region database.</b><b><br></b><b>Dataset for:</b>Chao F, Guilmoto CZ, Ombao H (2021) Sex ratio at birth in Vietnam among six subnational regions during 1980–2050, estimation and probabilistic projection using a Bayesian hierarchical time series model with 2.9 million birth records. PLoS ONE 16(7): e0253721. https://doi.org/10.1371/journal.pone.0253721<b><br></b>
DOI: 10.6084/m9.figshare.14724636.v1
title: Vietnam regional SRB database

description: <b>S1 Dataset. Sex ratio at birth by Vietnam region database.</b>
DOI: 10.15161/oar.it/73965
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.6084/m9.figshare.15049260.v1
title: Untitled Item

description: Model input data and R-script to run two-pool modivied Craig Gordon model as described in the Methods of the publication.
DOI: 10.6084/m9.figshare.15049260
title: Using plant physiological stable oxygen isotope models to counter food fraud - Model Data

description: Model input data and R-script to run two-pool modivied Craig Gordon model as described in the Methods of the publication.
DOI: 10.6084/m9.figshare.15049260.v3
title: Using plant physiological stable oxygen isotope models to counter food fraud - Model Data

description: Model input data and R-script to run two-pool modivied Craig Gordon model as described in the Methods of the publication.