cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7885535
title: Artificial intelligence method to design and fold alpha-helical structural proteins from the primary amino acid sequence

description: Dataset for paper: Z. Qin, L. Wu, H. Sun, S. Huo, T. Ma, E. Lim, P.-Y. Chen, B. Marelli, M.J. Buehler, Artificial intelligence method to design and fold alpha-helical structural proteins from the primary amino acid sequence, Extreme Mechanics Letters, Vol. 36, 100652, 2020. https://doi.org/10.1016/j.eml.2020.100652. Code: https://github.com/lamm-mit/MNNN/
DOI: 10.5281/zenodo.7885534
title: Artificial intelligence method to design and fold alpha-helical structural proteins from the primary amino acid sequence

description: Dataset for paper: Z. Qin, L. Wu, H. Sun, S. Huo, T. Ma, E. Lim, P.-Y. Chen, B. Marelli, M.J. Buehler, Artificial intelligence method to design and fold alpha-helical structural proteins from the primary amino acid sequence, Extreme Mechanics Letters, Vol. 36, 100652, 2020. https://doi.org/10.1016/j.eml.2020.100652. Code: https://github.com/lamm-mit/MNNN/
DOI: 10.6084/m9.figshare.22730432
title: why肉完全

description: TE wave
DOI: 10.6084/m9.figshare.22730432.v2
title: why肉完全

description: TE wave
DOI: 10.6084/m9.figshare.22730432.v1
title: imag4.csv

description: TE wave
DOI: 10.14278/rodare.2180
title: Data publication: Small-angle neutron scattering study of neutron-irradiated and post-irradiation annealed VVER-1000 reactor pressure vessel weld material

description: messdaten und auswertedaten
DOI: 10.14278/rodare.2179
title: Data publication: Small-angle neutron scattering study of neutron-irradiated and post-irradiation annealed VVER-1000 reactor pressure vessel weld material

description: messdaten und auswertedaten
DOI: 10.5281/zenodo.7867755
title: 5D-NP-FABTECH_FSG - Open Dataset for "Highly Conformable Terahertz Metasurface Absorbers via Two-photon Polymerization on Polymeric Ultra-thin Films"

description: This is the open dataset for the paper: "Ottomaniello Andrea, Paolo Vezio, Omar Tricinci, Frank Marco den Hoed, Paul Dean, Alessandro Tredicucci and Virgilio Mattoli, Highly Conformable Terahertz Metasurface Absorbers via Two-photon Polymerization on Polymeric Ultra-thin Films, On line (2023) [DOI:10.5281/zenodo.7838033]". This include the Supplementary Information file ("suppl_j_nanoph-2022-0667_suppl.pdf"), all the source material used for the paper preparation and more. For each folder (sub-dataset) there is a corresponding readme file describing the content and including metadata
DOI: 10.5281/zenodo.7876295
title: 5D-NP-FABTECH_FSG - Open Dataset for "Highly Conformable Terahertz Metasurface Absorbers via Two-photon Polymerization on Polymeric Ultra-thin Films"

description: This is the open dataset for the paper: "Ottomaniello Andrea, Paolo Vezio, Omar Tricinci, Frank Marco den Hoed, Paul Dean, Alessandro Tredicucci and Virgilio Mattoli, Highly Conformable Terahertz Metasurface Absorbers via Two-photon Polymerization on Polymeric Ultra-thin Films, On line (2023) [DOI:10.5281/zenodo.7838033]". This include the Supplementary Information file ("suppl_j_nanoph-2022-0667_suppl.pdf"), all the source material used for the paper preparation and more. For each folder (sub-dataset) there is a corresponding readme file describing the content and including metadata
DOI: 10.5281/zenodo.7867754
title: 5D-NP-FABTECH_FSG - Open Dataset for "Highly Conformable Terahertz Metasurface Absorbers via Two-photon Polymerization on Polymeric Ultra-thin Films"

description: This is the open dataset for the paper: "Ottomaniello Andrea, Paolo Vezio, Omar Tricinci, Frank Marco den Hoed, Paul Dean, Alessandro Tredicucci and Virgilio Mattoli, Highly Conformable Terahertz Metasurface Absorbers via Two-photon Polymerization on Polymeric Ultra-thin Films, On line (2023) [DOI:10.5281/zenodo.7838033]". This include the Supplementary Information file ("suppl_j_nanoph-2022-0667_suppl.pdf"), all the source material used for the paper preparation and more. For each folder (sub-dataset) there is a corresponding readme file describing the content and including metadata
DOI: 10.5281/zenodo.7885643
title: 5D-NP-FABTECH_FSG - Open Dataset for "Highly Conformable Terahertz Metasurface Absorbers via Two-photon Polymerization on Polymeric Ultra-thin Films"

description: This is the open dataset for the paper: "Ottomaniello Andrea, Paolo Vezio, Omar Tricinci, Frank Marco den Hoed, Paul Dean, Alessandro Tredicucci and Virgilio Mattoli, Highly Conformable Terahertz Metasurface Absorbers via Two-photon Polymerization on Polymeric Ultra-thin Films, On line (2023) [DOI:10.5281/zenodo.7838033]". This include the Supplementary Information file ("suppl_j_nanoph-2022-0667_suppl.pdf"), all the source material used for the paper preparation and more. For each folder (sub-dataset) there is a corresponding readme file describing the content and including metadata
DOI: 10.6084/m9.figshare.16577643
title: Probabilistic approximation to change and no change in multispectral remote sensing

description: Change assessment is a central and active area of inquiry in remote sensing. Broadly adopted probabilistic methods discriminate between change and no change based on image differencing, normalization and aggregation into a single band metric that is assumed to follow a Chi-square distribution. The adoption of the Chi-square distribution requires the application of band transformation to original data that is computer expensive and that operates under an untested assumption of multivariate distribution of pixel values in input bands. Despite the wide adoption of the Chi-square distribution, its appropriateness for discriminating between change and no change remains an open question. Here, we test the performance of the Chi-square distribution for change assessment compared to the use of the more-generic Gamma distribution. For this purpose, we implement an algorithm that iteratively removes observations labelled as change according to a pre-defined probabilistic distribution and a probability change threshold. We implement the algorithm in three study areas in tropical and subtropical regions representing contrasting ecological conditions and land cover types and changes. We also test whether input multispectral data meets the assumption of multivariate normality required for band transformation and for the use of the Chi-square distribution. We found that the Gamma distribution applied to untransformed data consistently performs more robustly to discriminate between change and no change compared to the application of band transformation and subsequent use of the Chi-square distribution. We also found that, in none of the evaluated cases, input multispectral data meet the assumption of multivariate normality required for band transformation. Our results suggest that assumptions about multivariate normality can affect the robustness of probabilistic change assessment in multispectral remote sensing. We encourage the remote sensing community to adopt the Gamma distribution applied to untransformed data as a probabilistic approach to differentiate between change and no change.
DOI: 10.6084/m9.figshare.16577643.v1
title: Probabilistic approximation to change and no change in multispectral remote sensing

description: Change assessment is a central and active area of inquiry in remote sensing. Broadly adopted probabilistic methods discriminate between change and no change based on image differencing, normalization and aggregation into a single band metric that is assumed to follow a Chi-square distribution. The adoption of the Chi-square distribution requires the application of band transformation to original data that is computer expensive and that operates under an untested assumption of multivariate distribution of pixel values in input bands. Despite the wide adoption of the Chi-square distribution, its appropriateness for discriminating between change and no change remains an open question. Here, we test the performance of the Chi-square distribution for change assessment compared to the use of the more-generic Gamma distribution. For this purpose, we implement an algorithm that iteratively removes observations labelled as change according to a pre-defined probabilistic distribution and a probability change threshold. We implement the algorithm in three study areas in tropical and subtropical regions representing contrasting ecological conditions and land cover types and changes. We also test whether input multispectral data meets the assumption of multivariate normality required for band transformation and for the use of the Chi-square distribution. We found that the Gamma distribution applied to untransformed data consistently performs more robustly to discriminate between change and no change compared to the application of band transformation and subsequent use of the Chi-square distribution. We also found that, in none of the evaluated cases, input multispectral data meet the assumption of multivariate normality required for band transformation. Our results suggest that assumptions about multivariate normality can affect the robustness of probabilistic change assessment in multispectral remote sensing. We encourage the remote sensing community to adopt the Gamma distribution applied to untransformed data as a probabilistic approach to differentiate between change and no change.
DOI: 10.5519/qd.hv6yha5m
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.22730708
title: Phenology_data

description: Aggregated data, collected from Carolin Plos. For questions and interest in full dataset please connect with her: carolin.plos@botanik.uni-halle.de. As we only used a subset of her data. <br> All afford in fieldwork design and collecting the phenology data goes to Carolin Plos.
DOI: 10.6084/m9.figshare.22730708.v1
title: Phenology_data

description: Aggregated data, collected from Carolin Plos. For questions and interest in full dataset please connect with her: carolin.plos@botanik.uni-halle.de. As we only used a subset of her data. <br> All afford in fieldwork design and collecting the phenology data goes to Carolin Plos.
DOI: 10.21227/19j6-5q72
title: DeepGlobe Land Cover Classification Dataset

description: Automatic categorization and segmentation of land cover is of great importance for sustainable development, autonomous agriculture, and urban planning. DeepGlobe Land Cover Classification Challenge introduces the challenge of automatic classification of land cover types. This problem is defined as a multi-class segmentation task to detect areas of urban, agriculture, rangeland, forest, water, barren, and unknown.
DOI: 10.5281/zenodo.7885691
title: Snapshots from MD simulations of Yarrowia lipolytica complex I

description: Simulation snapshots (.pdb) from classical MD of complex I from <em>Yarrowia lipolytica.</em> "S" correspond to setups as described in https://doi.org/10.1016/j.bbabio.2022.148951 "R" is replica number and "F" is frame. These files can be visualised in software such as VMD or Pymol.
DOI: 10.5281/zenodo.7885690
title: Snapshots from MD simulations of Yarrowia lipolytica complex I

description: Simulation snapshots (.pdb) from classical MD of complex I from <em>Yarrowia lipolytica.</em> "S" correspond to setups as described in https://doi.org/10.1016/j.bbabio.2022.148951 "R" is replica number and "F" is frame. These files can be visualised in software such as VMD or Pymol.
DOI: 10.25345/c5pv6bh6c
title: MassIVE MSV000091832 - GNPS by MassIVE analysis of grapefruit
title: Interlab study of grapefruit components 2023, feb 02
DOI: 10.5281/zenodo.7869993
title: Georeferenced literature records of annelid species along the Salento Peninsula

description: This dataset includes information collected from published papers on georeferenced annelid distribution along the Salento Peninsula. The dataset includes information on 1815 records with information on species, location, including latitude and longitude in decimal degrees, type of sediment, depth and sampling dates.
DOI: 10.5281/zenodo.7869994
title: Georeferenced literature records of annelid species along the Salento Peninsula

description: This dataset includes information collected from published papers on georeferenced annelid distribution along the Salento Peninsula. The dataset includes information on 1815 records with information on species, location, including latitude and longitude in decimal degrees, type of sediment, depth and sampling dates.
DOI: 10.25934/pr00008923
title: Data Challenge - Are antibiotic breakpoints globally consistent, does it matter if not?

description: Antibiotic resistance is quantified numerically by so-called breakpoints which, ideally, ensure pathogens are cleared by patients when treated at dosages above the breakpoint. Bodies that publish breakpoints determine their values by committee who use data, like distributions of pathogens' minimal inhibitory concentrations (MIC) to delineate boundaries between putative drug-susceptible (S) and drug-resistant (R) subpopulations. Importantly for patients, human experts in these decision pipelines, EUCAST in Europe and CLSI (and, more recently, USCAST) in the US, make different decisions: CLSI breakpoints are typically higher than EUCAST's. A key question is this: are these differences warranted, or not? To address this, we would like to examine whether breakpoints are consistent with the available MIC data in ATLAS both within and between continents. We also wish to understand whether the aforementioned expert committees might be supported by AI and Machine Learning that can use microbiology statistics, like MICs, to help determine breakpoints 'automatically', or else to estimate uncertainties in prior breakpoint decisions. We plan to explore this by examining EUCAST, CLSI and ATLAS MIC data together and there are several ways to complete our analysis. For instance, we know Enterobacterales species have the same EUCAST breakpoints for each antibiotic, and similar CLSI ones. ATLAS can help us answer, therefore, whether Enterobacterales species have statistically different MIC profiles in practise. If so, this would show breakpoint-setting policies are inconsistent with real-world MIC data. Our hope is that supervised classification algorithms can differentiate rationally between pathogen species and then be used to estimate what optimal breakpoints might be, for example using neural nets to model & extend prior CLSI and EUCAST decisions. As a multi-continental team of clinicians, microbiologists and data scientists, we expect that patients' antibiotic treatments might, one day, be improved by our work, for example by providing rational tests for breakpoint policy inconsistencies by using the data found in ATLAS. At the very least, our project is a starting point for the use of AI methods in antibiotic breakpoint-setting policy.
DOI: 10.5281/zenodo.7869960
title: Literature records of annelid species along the Salento Peninsula without georeference

description: This dataset includes information collected from published papers on annelid distribution along the Salento Peninsula without an exact georeferenced location. The dataset includes information on 539 records with information on species, descriptive location, type of sediment, depth and sampling dates.
DOI: 10.5281/zenodo.7869959
title: Literature records of annelid species along the Salento Peninsula without georeference

description: This dataset includes information collected from published papers on annelid distribution along the Salento Peninsula without an exact georeferenced location. The dataset includes information on 539 records with information on species, descriptive location, type of sediment, depth and sampling dates.
DOI: 10.17632/56w9cbv4w6.1
title: Questionnaire measuring the perception of PWVI towards accessibility in the Indian RTO websites

description: Data collection method and Data collection instrument: 
The objective of this survey questionnaire was to measure the perception of PWVI towards RTO websites.

Initially, a web (online) survey was undertaken. 
The web survey was conducted between the periods 01 March 2019 to 21 March 2019. 

Snowball sampling method was adopted. 
After getting permission, the respondents shared the contact details (email and phone) of the probable respondents for this survey as a referral. The researcher scrutinized to find out if the prospective respondents fulfilled the inclusion criteria to be a respondent for this study.

The data collection instrument used was SUMI (Software Usability Measurement Inventory developed by Kirakowski (Kirakowski et al. 1993). the SUMI questionnaire was adopted from Gonçalves et al. (2018). The questionnaire covers four components: questions related to demographic profiles, computer- and information technology, tour-related, and 22 statements related to accessibility in RTO websites. Among the 22 statements, eight are related to perceivability, seven are to operability, three adhere to robustness, and four are to understandability. Perceivability, Operability, Robustness, and Understandability are the four constructs of accessibility. 

Inclusion Criteria for The Respondents
The respondent must be a PWVI, financially independent - either by government/private employment or having own business/occupation, familiarity with operating computers using screen reader software, and with some prior experience in browsing tourism websites.
DOI: 10.5281/zenodo.7885656
title: TCGA RNA-Seq normalized rsem data, TCGA clinical data and mutational signature profiles

description: Normalized rsem RNA-Seq data for each of the 33 TCGA tumor types named as "<em>tumortype</em>rnaSeq.tar", a file containing TCGA clinical data ("cliDat_tcga_18.tar") and a text file with single base substitution mutational signatures for each sample from COSMIC (https://cancer.sanger.ac.uk/cosmic, “signatureProfileSample.txt.zip”).
DOI: 10.5281/zenodo.7885655
title: TCGA RNA-Seq normalized rsem data, TCGA clinical data and mutational signature profiles

description: Normalized rsem RNA-Seq data for each of the 33 TCGA tumor types named as "<em>tumortype</em>rnaSeq.tar", a file containing TCGA clinical data ("cliDat_tcga_18.tar") and a text file with single base substitution mutational signatures for each sample from COSMIC (https://cancer.sanger.ac.uk/cosmic, “signatureProfileSample.txt.zip”).
DOI: 10.17632/dkx4cj3c42.1
title: Mindset

description: The dataset for this article sought to uncover the nature of the relationship between entrepreneurial program and entrepreneurial mindset through the mediating role of students’ extracurricular activities. A total of 240 questionnaires were collected from Umm Al-Qura University students and analyzed using SmartPLS software 3.0. Validity and reliability were tested to ensure good quality data. The direct impacts of entrepreneurial program and the mediating role of extracurricular activities on entrepreneurial program were estimated using regression path coefficients. Because the comparison group was unknown in advance, the finite mixture partial least squares (FIMIX-PLS) and partial least squares prediction-oriented segmentation (PLS-POS) approaches were adopted to examine the unobserved heterogeneity of the entire model. After the analysis, two groups were retained. The full data showed weak variance in the two variables.
DOI: 10.17632/dkx4cj3c42.2
title: Mindset

description: The dataset for this article sought to uncover the nature of the relationship between entrepreneurial program and entrepreneurial mindset through the mediating role of students’ extracurricular activities. A total of 240 questionnaires were collected from Umm Al-Qura University students and analyzed using SmartPLS software 3.0. Validity and reliability were tested to ensure good quality data. The direct impacts of entrepreneurial program and the mediating role of extracurricular activities on entrepreneurial program were estimated using regression path coefficients. Because the comparison group was unknown in advance, the finite mixture partial least squares (FIMIX-PLS) and partial least squares prediction-oriented segmentation (PLS-POS) approaches were adopted to examine the unobserved heterogeneity of the entire model. After the analysis, two groups were retained. The full data showed weak variance in the two variables.
DOI: 10.17632/3g9c6kcgtg.1
title: RADS dataset

description: RADS is an anomaly detection system that utilizes time-series forecasting models like ARIMA to predict DDoS attacks in real-time. This system focuses on Software Defined Networks and aims to achieve real-time attack detection in such environments. This dataset contains the network flow information that was used to test the model. The topology was constructed using mininet and had four hosts connected to one switch. Traffic was generated using iperf commands among pairs of nodes in random.
DOI: 10.17632/3g9c6kcgtg.2
title: RADS dataset

description: RADS is an anomaly detection system that utilizes time-series forecasting models like ARIMA to predict DDoS attacks in real-time. This system focuses on Software Defined Networks and aims to achieve real-time attack detection in such environments. This dataset contains the network flow information that was used to test the model. The topology was constructed using mininet and had four hosts connected to one switch. Traffic was generated using iperf commands among pairs of nodes in random.
DOI: 10.6084/m9.figshare.22730783.v1
title: EducatioN (Responses) -3.csv

description: Higher Education Student's information from UAE universities.
DOI: 10.6084/m9.figshare.22730783
title: EducatioN (Responses) -3.csv

description: Higher Education Student's information from UAE universities.
DOI: 10.34740/kaggle/dsv/5581291
title: AutoXGB
DOI: 10.5281/zenodo.7885569
title: The validity of the bioaccumulation index versus the bioaccumulation factor for assessment of element accumulation in black soldier fly larvae

description: Dataset for the input-output calculations to evaluate bioaccumulation factor (BAF) and bioaccumulation index (BAI) in comparison with true element retention rate in black soldier fly larvae (BSFL). The results suggest a higher agreement of true element retention rate with BAF than with BAI. https://doi.org/10.3920/JIFF2023.0021
DOI: 10.5281/zenodo.7885568
title: The validity of the bioaccumulation index versus the bioaccumulation factor for assessment of element accumulation in black soldier fly larvae

description: Dataset for the input-output calculations to evaluate bioaccumulation factor (BAF) and bioaccumulation index (BAI) in comparison with true element retention rate in black soldier fly larvae (BSFL). The results suggest a higher agreement of true element retention rate with BAF than with BAI. https://doi.org/10.3920/JIFF2023.0021