cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13558618
title: Additional file 2 of Comprehensive assessments of germline deletion structural variants reveal the association between prognostic MUC4 and CEP72 deletions and immune response gene expression in colorectal cancer patients

description: Additional file 2:. Supplementary Table 2: DSV_cluster_pathway_result
DOI: 10.6084/m9.figshare.13558618.v1
title: Additional file 2 of Comprehensive assessments of germline deletion structural variants reveal the association between prognostic MUC4 and CEP72 deletions and immune response gene expression in colorectal cancer patients

description: Additional file 2:. Supplementary Table 2: DSV_cluster_pathway_result
DOI: 10.6084/m9.figshare.13558624.v1
title: Additional file 4 of Comprehensive assessments of germline deletion structural variants reveal the association between prognostic MUC4 and CEP72 deletions and immune response gene expression in colorectal cancer patients

description: Additional file 4:. Supplementary Table 4: 57 The specific genes in subjects
DOI: 10.6084/m9.figshare.13558624
title: Additional file 4 of Comprehensive assessments of germline deletion structural variants reveal the association between prognostic MUC4 and CEP72 deletions and immune response gene expression in colorectal cancer patients

description: Additional file 4:. Supplementary Table 4: 57 The specific genes in subjects
DOI: 10.6084/m9.figshare.13558621
title: Additional file 3 of Comprehensive assessments of germline deletion structural variants reveal the association between prognostic MUC4 and CEP72 deletions and immune response gene expression in colorectal cancer patients

description: Additional file 3:. Supplementary Table 3: 20 The frequency spectrum of DSVs
DOI: 10.6084/m9.figshare.13558615
title: Additional file 1 of Comprehensive assessments of germline deletion structural variants reveal the association between prognostic MUC4 and CEP72 deletions and immune response gene expression in colorectal cancer patients

description: Additional file 1:. Supplementary Table 1: DSV information20201208
DOI: 10.6084/m9.figshare.13558633
title: Additional file 7 of Comprehensive assessments of germline deletion structural variants reveal the association between prognostic MUC4 and CEP72 deletions and immune response gene expression in colorectal cancer patients

description: Additional file 7:. Supplementary Table 7: 57 Six functional categories
DOI: 10.6084/m9.figshare.13558633.v1
title: Additional file 7 of Comprehensive assessments of germline deletion structural variants reveal the association between prognostic MUC4 and CEP72 deletions and immune response gene expression in colorectal cancer patients

description: Additional file 7:. Supplementary Table 7: 57 Six functional categories
DOI: 10.6084/m9.figshare.13558636
title: Additional file 8 of Comprehensive assessments of germline deletion structural variants reveal the association between prognostic MUC4 and CEP72 deletions and immune response gene expression in colorectal cancer patients

description: Additional file 8:. Supplementary figures
DOI: 10.6084/m9.figshare.13558621.v1
title: Additional file 3 of Comprehensive assessments of germline deletion structural variants reveal the association between prognostic MUC4 and CEP72 deletions and immune response gene expression in colorectal cancer patients

description: Additional file 3:. Supplementary Table 3: 20 The frequency spectrum of DSVs
DOI: 10.6084/m9.figshare.13558630.v1
title: Additional file 6 of Comprehensive assessments of germline deletion structural variants reveal the association between prognostic MUC4 and CEP72 deletions and immune response gene expression in colorectal cancer patients

description: Additional file 6:. Supplementary Table 6: Cox proportional
DOI: 10.6084/m9.figshare.13558630
title: Additional file 6 of Comprehensive assessments of germline deletion structural variants reveal the association between prognostic MUC4 and CEP72 deletions and immune response gene expression in colorectal cancer patients

description: Additional file 6:. Supplementary Table 6: Cox proportional
DOI: 10.6084/m9.figshare.13558636.v1
title: Additional file 8 of Comprehensive assessments of germline deletion structural variants reveal the association between prognostic MUC4 and CEP72 deletions and immune response gene expression in colorectal cancer patients

description: Additional file 8:. Supplementary figures
DOI: 10.17632/bwptyzksr6.1
title: Data for: Multi-criteria decision analysis towards robust service quality measurement

description: The attachement is the quesionaire we performed for airport evaluation.
DOI: 10.6084/m9.figshare.13559054
title: data.xlsx

description: The concentrations and compositions of amino acids and amino sugars in the sediments from the Changjiang Estuary
DOI: 10.6084/m9.figshare.13559054.v1
title: data.xlsx

description: The concentrations and compositions of amino acids and amino sugars in the sediments from the Changjiang Estuary
DOI: 10.21227/nw6a-fn25
title: XAI-Website-Fingerprinting

description: Website Fingerprinting attacks aim to track the visited websites in browsers and infer confidential information about users. The presence of large numbers of websites on internet has made it necessary to integrate more sophisticated and automated techniques to analyze the collected data. Thanks to recent advancements in Machine Learning and Artificial Intelligence algorithms, website fingerprinting has been implemented efficiently in a large-scale. Nevertheless, trained models for website detection are mostly treated as a black-box where the source of information leakage is not visible to both attackers and security researchers. This study provides a dataset of side-channel measurements and their corresponding network traces to enable other researchers to analyze the data further.
DOI: 10.21227/hvms-gp89
title: XAI-Website-Fingerprinting

description: Website Fingerprinting attacks aim to track the visited websites in browsers and infer confidential information about users. The presence of large numbers of websites on internet has made it necessary to integrate more sophisticated and automated techniques to analyze the collected data. Thanks to recent advancements in Machine Learning and Artificial Intelligence algorithms, website fingerprinting has been implemented efficiently in a large-scale. Nevertheless, trained models for website detection are mostly treated as a black-box where the source of information leakage is not visible to both attackers and security researchers. This study provides a dataset of side-channel measurements and their corresponding network traces to enable other researchers to analyze the data further.
DOI: 10.21227/177f-ac34
title: XAI-Website-Fingerprinting

description: Website Fingerprinting attacks aim to track the visited websites in browsers and infer confidential information about users. The presence of large numbers of websites on internet has made it necessary to integrate more sophisticated and automated techniques to analyze the collected data. Thanks to recent advancements in Machine Learning and Artificial Intelligence algorithms, website fingerprinting has been implemented efficiently in a large-scale. Nevertheless, trained models for website detection are mostly treated as a black-box where the source of information leakage is not visible to both attackers and security researchers. This study provides a dataset of side-channel measurements and their corresponding network traces to enable other researchers to analyze the data further.
DOI: 10.7295/w9cil53304
title: CIL:53304, Drosophila melanogaster, Entire Organism
DOI: 10.21227/xh5h-km60
title: Ping Response Times from google.com

description: Ping reponse times from google.com
DOI: 10.6084/m9.figshare.13557923
title: Data.xls

description: We analyzed the effect of elevated CO<sub>2</sub> on the host-selection behavior of western flower thrips (<i>Frankliniella occidentalis</i>) and studied how they were affected by the release of VOCs from kidney bean plants (<i>Phaseolus vulgaris</i>).<i> </i>
DOI: 10.7295/w9cil53306
title: CIL:53306, Drosophila melanogaster, Entire Organism
DOI: 10.7295/w9cil53307
title: CIL:53307, Drosophila melanogaster, Entire Organism
DOI: 10.6084/m9.figshare.13559541
title: Governance interactions of spatial data infrastructures: an agent-based modelling approach

description: In order to facilitate and coordinate spatial data sharing and exchange, many organisations have developed spatial data infrastructures (SDIs). SDI governance plays a pivotal role in the development and evolution of an SDI, but as SDIs are complex adaptive systems, governing is a challenge. This research therefore proposes a complexity perspective to SDI governance by exploring the use of agent-based modelling to simulate and examine SDI governance interactions. In this agent-based simulation, we examine interactions between SDI stakeholders, data availability and the effects of different governance styles (hierarchical, network and laissez-faire governance) and budget policies. The simulation shows that it is possible to mimic SDI governance dynamics through agent-based modelling. By running different scenarios, it appears that a network approach is more successful compared to a hierarchical or laissez-faire approach. Expert validation shows that overall the results of the simulation are credible and insightful, although improvements can be made to make the model more realistic. With agent-based modelling, SDI governance becomes more tangible and visible, which facilitates discussion and understanding. Agent-based modelling therefore appears to be a helpful new approach in a better understanding of the complexities and dynamics of SDI governance.
DOI: 10.7295/w9cil53308
title: CIL:53308, Drosophila melanogaster, Entire Organism
DOI: 10.6084/m9.figshare.13515944
title: Research Trends Analysis Using Text Mining in Construction Management:2000-2020

description: In this dataset, you can find the all webofscience data used in the research. Also in the excel file "Researchtrends_data" you can find the cluster result of each file which is analysed in Citespace
DOI: 10.6084/m9.figshare.13515944.v1
title: Analysis of Research Trends Using Text Mining in Construction Management:2000-2020

description: In this dataset, you can find the all webofscience data used in the research. Also in the excel file "Researchtrends_data" you can find the cluster result of each file which is analysed in Citespace
DOI: 10.6084/m9.figshare.13559630
title: Supplementary Material for: <b><i>SEC62</i></b> and <b><i>SEC63</i></b> Expression in Hepatocellular Carcinoma and Tumor-Surrounding Liver Tissue

description: <b><i>Introduction:</i></b> The endoplasmic reticulum transmembrane proteins Sec61, Sec62, and Sec63 are responsible for the intracellular trafficking of precursor proteins and affect intracellular signaling. <i>SEC62</i> overexpression has been linked to various human cancers. Our aim was to investigate <i>SEC62</i> and <i>SEC63</i> expression in hepatocellular carcinoma (HCC) and surrounding liver tissue. <b><i>Patients and Methods:</i></b> Primary liver tissue was collected from 11 consecutive patients (70 ± 9 years; 10 men) who underwent HCC resection. In the HCC and the tumor-surrounding liver tissue we investigated <i>SEC62</i> und <i>SEC63</i> mRNA expression using quantitative real-time PCR. For Sec62, immunohistochemistry was performed. <b><i>Results:</i></b> <i>SEC62</i>and<i> SEC63</i> total mRNA contents were significantly (<i>p</i> = 0.001) higher in HCCs (C<sub>T</sub> 22.5 ± 0.4 and 22.6 ± 0.3) when compared to the surrounding tissue (C<sub>T</sub> 24.6 ± 0.6 and 25.1 ± 0.9). Using the comparative C<sub>T</sub>method, <i>SEC62</i> and <i>SEC63</i> expression in HCC was increased 5- and 8.1-fold, respectively, in comparison to surrounding tissue. For Sec62 immunohistochemistry, the mean immunoreactive scores (IRS) were 7.9 ± 2.9 for HCC and 4.8 ± 1.2 for non-tumorous liver (<i>p</i> = 0.027). The mean IRS in HCC were 5.7 ± 3.5 and 8.9 ± 2.3 for patients without (<i>n</i> = 3) and with tumor recurrence (<i>n</i> = 8), respectively. <b><i>Conclusions:</i></b> Overexpression of <i>SEC62</i> and <i>SEC63</i> is a common feature of HCC. The role of Sec62 as a prognostic marker for tumor recurrence after surgery and its potential role in treatment stratification must be addressed in future studies.
DOI: 10.6084/m9.figshare.13559630.v1
title: Supplementary Material for: <b><i>SEC62</i></b> and <b><i>SEC63</i></b> Expression in Hepatocellular Carcinoma and Tumor-Surrounding Liver Tissue

description: <b><i>Introduction:</i></b> The endoplasmic reticulum transmembrane proteins Sec61, Sec62, and Sec63 are responsible for the intracellular trafficking of precursor proteins and affect intracellular signaling. <i>SEC62</i> overexpression has been linked to various human cancers. Our aim was to investigate <i>SEC62</i> and <i>SEC63</i> expression in hepatocellular carcinoma (HCC) and surrounding liver tissue. <b><i>Patients and Methods:</i></b> Primary liver tissue was collected from 11 consecutive patients (70 ± 9 years; 10 men) who underwent HCC resection. In the HCC and the tumor-surrounding liver tissue we investigated <i>SEC62</i> und <i>SEC63</i> mRNA expression using quantitative real-time PCR. For Sec62, immunohistochemistry was performed. <b><i>Results:</i></b> <i>SEC62</i>and<i> SEC63</i> total mRNA contents were significantly (<i>p</i> = 0.001) higher in HCCs (C<sub>T</sub> 22.5 ± 0.4 and 22.6 ± 0.3) when compared to the surrounding tissue (C<sub>T</sub> 24.6 ± 0.6 and 25.1 ± 0.9). Using the comparative C<sub>T</sub>method, <i>SEC62</i> and <i>SEC63</i> expression in HCC was increased 5- and 8.1-fold, respectively, in comparison to surrounding tissue. For Sec62 immunohistochemistry, the mean immunoreactive scores (IRS) were 7.9 ± 2.9 for HCC and 4.8 ± 1.2 for non-tumorous liver (<i>p</i> = 0.027). The mean IRS in HCC were 5.7 ± 3.5 and 8.9 ± 2.3 for patients without (<i>n</i> = 3) and with tumor recurrence (<i>n</i> = 8), respectively. <b><i>Conclusions:</i></b> Overexpression of <i>SEC62</i> and <i>SEC63</i> is a common feature of HCC. The role of Sec62 as a prognostic marker for tumor recurrence after surgery and its potential role in treatment stratification must be addressed in future studies.
DOI: 10.25919/jj9k-0z10
title: Parkes observations for project P1090 semester 2020OCTS_05

description: We propose to search for millisecond pulsars (MSPs) in an annular region around Blazar OJ 287, the most promising candidate to host a nano-Hz gravitational wave (GW) emitting supermassive black hole binary (SMBHB). We plan to use the Parkes multibeam receiver to search for MSPs in the sky region around OJ 287. The proposed survey area of 143 square degrees is expected to yield at least one and possibly three MSPs. The observing strategy ensures that detected MSPs will be most sensitive to GWs from the proposed SMBHB in OJ 287. The timing of such MPSs should allow us to probe the properties of OJ 287 in the GW window.
DOI: 10.14457/mu.res.2020.12
title: The role of NADPH oxidases in iron-mediated osteoblastic cell death and the therapeutic potential of NOXs inhibitors in iron overload and thalassemia-induced osteoporosis
DOI: 10.14457/mu.res.2020.13
title: Contribution of protein stability to clinical manifestations of G6PD variants
DOI: 10.14457/mu.res.2020.14
title: Unveiling the evolution of Galactic-Scale outflows with the Subaru/Hyper suprime-cam survey
DOI: 10.14457/su.res.2006.23
title: Visualising retail location : involvement of visibility in the spatial structure and micro-distribution of the retail function
DOI: 10.6084/m9.figshare.13559771
title: fcs raw data .zip

description: fcs raw data
DOI: 10.6084/m9.figshare.13559771.v1
title: fcs raw data .zip

description: fcs raw data
DOI: 10.6084/m9.figshare.9795584
title: Data for 'Expansion of intertidal mussel beds following disease-driven reduction of a keystone predator'

description: To test whether the absence of keystone predation due to disease produced changes to the species composition of rocky intertidal communities, I took advantage of a natural experiment involving mass mortality of the keystone predator <i>Pisaster ochraceus </i>from Sea Star Wasting Syndrome. This data contains records of mussel size, mussel position, mussel bed depth, species composition, and changes to the sea star populations of the North American Pacific coast.
DOI: 10.6084/m9.figshare.9795584.v1
title: Data for 'Sea Star Wasting Syndrome impacts to intertidal communities via mass mortality of a keystone predator'

description: To test whether the absence of keystone predation due to disease produced changes to the species composition of rocky intertidal communities, I took advantage of a natural experiment involving mass mortality of the keystone predator <i>Pisaster ochraceus </i>from Sea Star Wasting Syndrome. This data contains records of mussel size, mussel position, mussel bed depth, species composition, and changes to the sea star populations of the North American Pacific coast.
DOI: 10.5281/zenodo.4433222
title: Supplementary Data for Secondary structure and DNA binding domain prediction

description: <strong>This project contains the following extended data:</strong> <strong>Supplementary Table 1: </strong>Summary table of DNA binding domains (DBD), the counts of target regions within the genome and statistical analysis. (DNA_BINDING_DOMAINS_ID.tsv) <strong>Sequence</strong>: ecCEBPα secondary structure prediction with RNAplfold at a pairing probability cut off of 0.1. N represents all sequences with pairing probability greater than 0.1. (predicted_secondary_structure_of_ecCEBPA.fa)
DOI: 10.5281/zenodo.4433221
title: Supplementary Data for Secondary structure and DNA binding domain prediction

description: <strong>This project contains the following extended data:</strong> <strong>Supplementary Table 1: </strong>Summary table of DNA binding domains (DBD), the counts of target regions within the genome and statistical analysis. (DNA_BINDING_DOMAINS_ID.tsv) <strong>Sequence</strong>: ecCEBPα secondary structure prediction with RNAplfold at a pairing probability cut off of 0.1. N represents all sequences with pairing probability greater than 0.1. (predicted_secondary_structure_of_ecCEBPA.fa)
DOI: 10.21227/j5bz-y180
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains IDs and sentiment scores of the geo-tagged tweets related to the COVID-19 pandemic. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for coronavirus-related tweets using 90+ different keywords and hashtags that are commonly used while referencing the pandemic. Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted providing an exact location.The paper associated with this dataset is available here: Design and analysis of a large-scale COVID-19 tweets dataset-------------------------------------Related datasets: (a) Coronavirus (COVID-19) Tweets Sentiment Trend (Global)(b) Tweets Originating from India During COVID-19 Lockdowns-------------------------------------Below is a quick overview of this dataset.— Dataset name: GeoCOV19Tweets Dataset— Number of tweets : 295,582 tweets— Coverage : Global— Language : English (EN)— Dataset usage terms : By using this dataset, you agree to (i) use the content of this dataset and the data generated from the content of this dataset for non-commercial research only, (ii) remain in compliance with Twitter's Developer Policy and (iii) cite the following paper:Lamsal, R. Design and analysis of a large-scale COVID-19 tweets dataset. Applied Intelligence (2020). https://doi.org/10.1007/s10489-020-02029-z— Primary dataset : Coronavirus (COVID-19) Tweets Dataset (COV19Tweets Dataset)— Dataset updates : Everyday— Active keywords and hashtags: keywords.tsvPlease visit this page (primary dataset) for details regarding the collection date and time (and other notes) of each CSV file present in this dataset.
DOI: 10.5281/zenodo.4433214
title: pr2-primers version 1.0.3

description: Primer database
DOI: 10.13145/bacdive1.20191129.4.1
title: Acetobacter aceti (Pasteur 1864) Beijerinck 1898

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive2.20191129.4.1
title: Acetobacter aceti (Pasteur 1864) Beijerinck 1898

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive3.20191129.4.1
title: Acetobacter cerevisiae Cleenwerck et al. 2002

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive4.20191129.4.1
title: Acetobacter pasteurianus (Hansen 1879) Beijerinck and Folpmers 1916

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5.20191129.4.1
title: Acetobacter pasteurianus (Hansen 1879) Beijerinck and Folpmers 1916

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive6.20191129.4.1
title: Acetobacter pasteurianus (Hansen 1879) Beijerinck and Folpmers 1916

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive7.20191129.4.1
title: Acetobacter pasteurianus (Hansen 1879) Beijerinck and Folpmers 1916

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive8.20191129.4.1
title: Acetobacter orleanensis (Henneberg 1906) Lisdiyanti et al. 2001

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive9.20191129.4.1
title: Acetobacter lovaniensis (Frateur 1950) Lisdiyanti et al. 2001

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive10.20191129.4.1
title: Acetobacter estunensis (Carr 1958) Lisdiyanti et al. 2001

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive11.20191129.4.1
title: Acetobacter pomorum Sokollek et al. 1998

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive12.20191129.4.1
title: Acetobacter cerevisiae Cleenwerck et al. 2002

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive13.20191129.4.1
title: Acetobacter malorum Cleenwerck et al. 2002

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive14.20191129.4.1
title: Acetobacter syzygii Lisdiyanti et al. 2002

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15.20191129.4.1
title: Acetobacter cibinongensis Lisdiyanti et al. 2002

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.