cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5011504
title: Dataset: Reinforcing Cybersecurity Hands-on Training With Adaptive Learning

description: This repository contains supplementary materials for the following conference paper:<br> <br> Pavel Seda, Jan Vykopal, Valdemar Švábenský, Pavel Čeleda.<em><br> Reinforcing Cybersecurity Hands-on Training With Adaptive Learning. </em><br> In Proceedings of the 51st IEEE Frontiers in Education Conference (FIE 2021).<br> https://doi.org/10.1109/FIE49875.2021.9637252<br> <br> Preprint available at: https://arxiv.org/abs/2201.01574 <strong>How to cite</strong> If you use or build upon the materials, please use the BibTeX entry below to cite the original paper (not only this web link). Some of the linked repositories have their separate citation entry; please use that one as well, if possible. <pre><code>@inproceedings{Seda2021reinforcing, author = {Seda, Pavel and Vykopal, Jan and \v{S}v\'{a}bensk\'{y}, Valdemar and \v{C}eleda, Pavel}, title = {{Reinforcing Cybersecurity Hands-on Training With Adaptive Learning}}, booktitle = {Proceedings of the 51st IEEE Frontiers in Education Conference}, series = {FIE '21}, location = {Lincoln, NE, USA}, publisher = {IEEE}, address = {New York, NY, USA}, month = {10}, year = {2021}, pages = {1--9}, numpages = {9}, isbn = {978-1-6654-3851-3}, url = {https://doi.org/10.1109/FIE49875.2021.9637252}, doi = {10.1109/FIE49875.2021.9637252}, }</code></pre>
description: This research was supported by ERDF project CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence' (No. CZ.02.1.01/0.0/0.0/16_019/0000822).
DOI: 10.5281/zenodo.5011503
title: Dataset: Reinforcing Cybersecurity Hands-on Training With Adaptive Learning

description: This repository contains supplementary materials for the following conference paper:<br> <br> Pavel Seda, Jan Vykopal, Valdemar Švábenský, Pavel Čeleda.<em><br> Reinforcing Cybersecurity Hands-on Training With Adaptive Learning. </em><br> In Proceedings of the 51st IEEE Frontiers in Education Conference (FIE 2021).<br> https://doi.org/10.1109/FIE49875.2021.9637252<br> <br> Preprint available at: https://arxiv.org/abs/2201.01574 <strong>How to cite</strong> If you use or build upon the materials, please use the BibTeX entry below to cite the original paper (not only this web link). Some of the linked repositories have their separate citation entry; please use that one as well, if possible. <pre><code>@inproceedings{Seda2021reinforcing, author = {Seda, Pavel and Vykopal, Jan and \v{S}v\'{a}bensk\'{y}, Valdemar and \v{C}eleda, Pavel}, title = {{Reinforcing Cybersecurity Hands-on Training With Adaptive Learning}}, booktitle = {Proceedings of the 51st IEEE Frontiers in Education Conference}, series = {FIE '21}, location = {Lincoln, NE, USA}, publisher = {IEEE}, address = {New York, NY, USA}, month = {10}, year = {2021}, pages = {1--9}, numpages = {9}, isbn = {978-1-6654-3851-3}, url = {https://doi.org/10.1109/FIE49875.2021.9637252}, doi = {10.1109/FIE49875.2021.9637252}, }</code></pre>
description: This research was supported by ERDF project CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence' (No. CZ.02.1.01/0.0/0.0/16_019/0000822).
DOI: 10.5066/p906a17v
title: Degradation of Cumberlandia monodonta environmental DNA over time in laboratory conditions using the C.monCOI assay

description: Data describe a designed environmental DNA (eDNA) experiment for the estimation of eDNA degradation rates for the spectaclecase (Cumberlandia monodonta) from water samples collected in the laboratory. Parameters described include laboratory collected water samples that were tested to estimate concentration of spectaclecase DNA and associated quality assurance data. Samples were collected from experiments performed from May 17, 2021 to May 30, 2021 at the USGS Columbia Environmental Research Center, Missouri
DOI: 10.5281/zenodo.8215774
title: Data of the publication "Real-time broadening of bath-induced density profiles from closed-system correlation functions"

description: The Lindblad master equation is one of the main approaches to open quantum systems. While it has been<br> widely applied in the context of condensed matter systems to study properties of steady states in the limit<br> of long times, the actual route to such steady states has attracted less attention yet. Here, we investigate the<br> nonequilibrium dynamics of spin chains with a local coupling to a single Lindblad bath and analyze the transport<br> properties of the induced magnetization. Combining typicality and equilibration arguments with stochastic<br> unraveling, we unveil for the case of weak driving that the dynamics in the open system can be constructed<br> on the basis of correlation functions in the closed system, which establishes a connection between the Lindblad<br> approach and linear response theory at finite times. In this way, we provide a particular example where closed and<br> open approaches to quantum transport agree strictly. We demonstrate this fact numerically for the spin-1/2 XXZ<br> chain at the isotropic point and in the easy-axis regime, where superdiffusive and diffusive scaling is observed,<br> respectively.
description: Funding: Deutsche Forschungsgemeinschaft (DFG), under Grants No. 397107022 (GE 1657/3-2) and No. 397067869 (STE 2243/3-2), within the DFG Research Unit FOR 2692, under Grant No. 355031190. Moreover, DFG Grant No. 456666331. European Union's Horizon Europe research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 101060162.
DOI: 10.5281/zenodo.8215775
title: Data of the publication "Real-time broadening of bath-induced density profiles from closed-system correlation functions"

description: The Lindblad master equation is one of the main approaches to open quantum systems. While it has been<br> widely applied in the context of condensed matter systems to study properties of steady states in the limit<br> of long times, the actual route to such steady states has attracted less attention yet. Here, we investigate the<br> nonequilibrium dynamics of spin chains with a local coupling to a single Lindblad bath and analyze the transport<br> properties of the induced magnetization. Combining typicality and equilibration arguments with stochastic<br> unraveling, we unveil for the case of weak driving that the dynamics in the open system can be constructed<br> on the basis of correlation functions in the closed system, which establishes a connection between the Lindblad<br> approach and linear response theory at finite times. In this way, we provide a particular example where closed and<br> open approaches to quantum transport agree strictly. We demonstrate this fact numerically for the spin-1/2 XXZ<br> chain at the isotropic point and in the easy-axis regime, where superdiffusive and diffusive scaling is observed,<br> respectively.
description: Funding: Deutsche Forschungsgemeinschaft (DFG), under Grants No. 397107022 (GE 1657/3-2) and No. 397067869 (STE 2243/3-2), within the DFG Research Unit FOR 2692, under Grant No. 355031190. Moreover, DFG Grant No. 456666331. European Union's Horizon Europe research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 101060162.
DOI: 10.7916/nygt-mb09
title:  Model Data for "Diverse Eurasian Temperature Responses to Arctic Sea Ice Loss in Models Due to Varying Balance Between Dynamical Cooling and Thermodynamical Warming"
DOI: 10.6084/m9.figshare.23808483
title: Phenotypic Plasticity of ‘Galega vulgar’ - data sets

description: Phenotypic Plasticity of ‘Galega vulgar’ - data sets
DOI: 10.5281/zenodo.8220610
title: VESPA: Analysis of selected CPTAC datasets

description: This is a supplemental dataset to the VESPA manuscript "Network-based elucidation of colon cancer drug resistance by phosphoproteomic time-series analysis". VESPA was used to reconstruct signaling networks and to conduct kinase/phosphatase activity inference for selected subsets of the following CPTAC datasets: CPTAC S037 (COAD) CPTAC S044 (ccRCC) CPTAC S046 (LUAD) CPTAC S047 (PBT) CPTAC S049 (HBV-HCC) CPTAC S058 (LSCC) CPTAC S061 (PDAC)
DOI: 10.5281/zenodo.8220609
title: VESPA: Analysis of selected CPTAC datasets

description: This is a supplemental dataset to the VESPA manuscript "Network-based elucidation of colon cancer drug resistance by phosphoproteomic time-series analysis". VESPA was used to reconstruct signaling networks and to conduct kinase/phosphatase activity inference for selected subsets of the following CPTAC datasets: CPTAC S037 (COAD) CPTAC S044 (ccRCC) CPTAC S046 (LUAD) CPTAC S047 (PBT) CPTAC S049 (HBV-HCC) CPTAC S058 (LSCC) CPTAC S061 (PDAC)
DOI: 10.6084/m9.figshare.12951845
title: Consensus VCF

description: VCF file of sites called across all pipelines
DOI: 10.5066/p976o6pp
title: Data to quantify ecosystem states and state transitions of the Upper Mississippi River using topological data analysis

description: The dataset and analysis scripts accompanies the scientific article, "Quantifying ecosystem states and state transitions of the Upper Mississippi River using topological data analysis." We coupled this highly dimensional dataset with multiple topological data analysis (TDA) techniques to classify ecosystem states, identify state variables, and detect state transitions over 30 years.
DOI: 10.17632/2zs57w6st9.1
title: Rural Education: Empowering English Language Learners (Expert Opinion Review)

description: The primary purpose of this paper is
to shed light on the difficulties and
potential practices involved in meeting
the educational requirements of English
Language Learners (ELs) who live in
rural locations. It explores how new
people's movement into rural regions
has resulted in an inflow of English
Language Learners (ELs) with varied
histories, languages, and cultures into
schools that once had a homogeneous
student body.
DOI: 10.5281/zenodo.8190461
title: IAA database for electron-molecule cross sections

description: Electron-Molecule Cross section databases for atmospheric gases: N2, O2, NO, Ar, O and N. The default recommended database was constructed from an extensive survey of available experimental and theoretical data. A reader module in python is included for reading and loading differential and integral cross sections. The project is available on codeberg.org : https://codeberg.org/aschmalz/elmolcs.git
DOI: 10.5281/zenodo.8190460
title: IAA database for electron-molecule cross sections

description: Electron-Molecule Cross section databases for atmospheric gases: N2, O2, NO, Ar, O and N. The default recommended database was constructed from an extensive survey of available experimental and theoretical data. A reader module in python is included for reading and loading differential and integral cross sections. The project is available on codeberg.org : https://codeberg.org/aschmalz/elmolcs.git
DOI: 10.6084/m9.figshare.22317679
title: Data and code

description: Data and code utilised in the project.
DOI: 10.5281/zenodo.8185610
title: Different facets of the same niche: integrating citizen science and scientific survey data to predict biological invasion risk under multiple global change drivers

description: Raw data (occurrences and environmental predictors) used in the manuscript "Different facets of the same niche: integrating citizen science and scientific survey data to predict biological invasion risk under multiple global change drivers"
description: {"references": ["Di Febbraro, M., Bosso, L., Fasola, M., Santicchia, F., Aloise, G., Lioy, S., Tricarico, E., Ruggieri, L., Bovero, S., Mori, E., Bertolino, S. 2023. Different facets of the same niche: integrating citizen and science data to predict invasion risk under multiple global change drivers. Global Change Biology, https://doi.org/10.1111/gcb.16901"]}
DOI: 10.5281/zenodo.8185609
title: Different facets of the same niche: integrating citizen science and scientific survey data to predict biological invasion risk under multiple global change drivers

description: Raw data (occurrences and environmental predictors) used in the manuscript "Different facets of the same niche: integrating citizen science and scientific survey data to predict biological invasion risk under multiple global change drivers"
description: {"references": ["Di Febbraro, M., Bosso, L., Fasola, M., Santicchia, F., Aloise, G., Lioy, S., Tricarico, E., Ruggieri, L., Bovero, S., Mori, E., Bertolino, S. 2023. Different facets of the same niche: integrating citizen and science data to predict invasion risk under multiple global change drivers. Global Change Biology, https://doi.org/10.1111/gcb.16901"]}
DOI: 10.6084/m9.figshare.23900247
title: Metabolite BridgeDb ID Mapping Database (20230807)

description: BridgeDb ID mapping database for metabolites, using HMDB 5.0 (Release of November 2021), ChEBI 224 (Release of August 2023), and Wikidata (7 August 2023) as data sources.
DOI: 10.3886/e193163
title: A Data-Driven and Generalizable Model for Classifying Outdoor Recreation Opportunities at Multiple Spatial Extents (data and code)

description: The Recreation Opportunity Spectrum (ROS) framework spatially delineates a landscape into discrete classes believed to provide relatively unique outdoor recreation opportunities. The framework is an integral component of numerous outdoor recreation and tourism planning efforts. However, the effectiveness of the framework as a management tool has been limited given: 1) its dependence on anecdotal perceptions of managers as opposed to objective and reliable metrics; 2) its application at a singular spatial extent; and 3) its limited ability to provide prescriptive guidance on how outdoor recreation should be managed. We present a data-driven and generalizable model to define and quantify ROS classifications at multiple spatial extents. The model is structured around the three setting characteristics (biophysical, managerial, and social) believed to influence the types of outdoor recreation opportunities provided in a particular place. Each characteristic is quantified using free and publicly available data. The model’s analytical workflow yields discrete ROS classifications unique to the spatial extent at which it is applied (e.g., statewide, across an entire national forest, across just a ranger district, etc.). We demonstrate the flexibility and utility of the model by applying it to three spatial extents (statewide, regional, and local) within Utah (USA). Each application yields meaningful characterizations of the outdoor recreation opportunities provided across the landscape, allowing the decision makers which operate at each of these extents (e.g., state legislatures [state], regional collaborative initiatives [regional], and land management agency line officers [site-specific]) to make decisions informed by data and a transparent analytical process. The model can serve as a catalyst capable of unifying disparate visitor use management frameworks around common data, and a common model, for classifying the distinct types of wildland recreation settings upon which outdoor recreation opportunities depend.
DOI: 10.3886/e193163v1
title: A Data-Driven and Generalizable Model for Classifying Outdoor Recreation Opportunities at Multiple Spatial Extents (data and code)

description: The Recreation Opportunity Spectrum (ROS) framework spatially delineates a landscape into discrete classes believed to provide relatively unique outdoor recreation opportunities. The framework is an integral component of numerous outdoor recreation and tourism planning efforts. However, the effectiveness of the framework as a management tool has been limited given: 1) its dependence on anecdotal perceptions of managers as opposed to objective and reliable metrics; 2) its application at a singular spatial extent; and 3) its limited ability to provide prescriptive guidance on how outdoor recreation should be managed. We present a data-driven and generalizable model to define and quantify ROS classifications at multiple spatial extents. The model is structured around the three setting characteristics (biophysical, managerial, and social) believed to influence the types of outdoor recreation opportunities provided in a particular place. Each characteristic is quantified using free and publicly available data. The model’s analytical workflow yields discrete ROS classifications unique to the spatial extent at which it is applied (e.g., statewide, across an entire national forest, across just a ranger district, etc.). We demonstrate the flexibility and utility of the model by applying it to three spatial extents (statewide, regional, and local) within Utah (USA). Each application yields meaningful characterizations of the outdoor recreation opportunities provided across the landscape, allowing the decision makers which operate at each of these extents (e.g., state legislatures [state], regional collaborative initiatives [regional], and land management agency line officers [site-specific]) to make decisions informed by data and a transparent analytical process. The model can serve as a catalyst capable of unifying disparate visitor use management frameworks around common data, and a common model, for classifying the distinct types of wildland recreation settings upon which outdoor recreation opportunities depend.
DOI: 10.3886/e193163v2
title: A Data-Driven and Generalizable Model for Classifying Outdoor Recreation Opportunities at Multiple Spatial Extents (data and code)

description: The Recreation Opportunity Spectrum (ROS) framework spatially delineates a landscape into discrete classes believed to provide relatively unique outdoor recreation opportunities. The framework is an integral component of numerous outdoor recreation and tourism planning efforts. However, the effectiveness of the framework as a management tool has been limited given: 1) its dependence on anecdotal perceptions of managers as opposed to objective and reliable metrics; 2) its application at a singular spatial extent; and 3) its limited ability to provide prescriptive guidance on how outdoor recreation should be managed. We present a data-driven and generalizable model to define and quantify ROS classifications at multiple spatial extents. The model is structured around the three setting characteristics (biophysical, managerial, and social) believed to influence the types of outdoor recreation opportunities provided in a particular place. Each characteristic is quantified using free and publicly available data. The model’s analytical workflow yields discrete ROS classifications unique to the spatial extent at which it is applied (e.g., statewide, across an entire national forest, across just a ranger district, etc.). We demonstrate the flexibility and utility of the model by applying it to three spatial extents (statewide, regional, and local) within Utah (USA). Each application yields meaningful characterizations of the outdoor recreation opportunities provided across the landscape, allowing the decision makers which operate at each of these extents (e.g., state legislatures [state], regional collaborative initiatives [regional], and land management agency line officers [site-specific]) to make decisions informed by data and a transparent analytical process. The model can serve as a catalyst capable of unifying disparate visitor use management frameworks around common data, and a common model, for classifying the distinct types of wildland recreation settings upon which outdoor recreation opportunities depend.
DOI: 10.34740/kaggle/dsv/6264882
title: 💰 Data Science Salary 💰  2021 to 2023
DOI: 10.25345/c5cf9jh5k
title: MassIVE MSV000092612 - Decrypting the molecular basis of cellular drug phenotypes by dose-resolved expression proteomics
title: Proteomics is making important contributions to drug discovery - from target deconvolution to mechanism of action (MoA) elucidation and the identification of biomarkers of drug response. Here, we introduce decryptE, a proteome-wide approach that measures the full dose-response characteristics of drug-induced protein expression changes which informs cellular drug (MoA). Assaying 144 clinical drugs and research compounds against 8,000 proteins resulted in &gt;1 million dose-response curves that can be interactively explored online in ProteomicsDB and a custom-built ShinyApp. Analysis of the collective data provided molecular explanations for known phenotypic drug effects and uncovered novel aspects of the MoAs of human medicines. Most notably, HDAC inhibitors potently and strongly down-regulated the T-cell receptor complex resulting in dysfunctional human T-cell activation in-vitro and ex-vivo. This not only offers a rational explanation for the efficacy of HDAC inhibitors in certain lymphomas and autoimmune diseases but also their poor performance in treating solid tumors.
DOI: 10.5281/zenodo.8221711
title: Plant invasion and fertilizer addition alter soil biota and their functions: A global meta-analysis

description: Datasets used for meta-analysis on plant invasion and fertilizer addition effects on soil biota and their functions.
DOI: 10.5281/zenodo.8221710
title: Plant invasion and fertilizer addition alter soil biota and their functions: A global meta-analysis

description: Datasets used for meta-analysis on plant invasion and fertilizer addition effects on soil biota and their functions.
DOI: 10.5517/ccdc.csd.cc2dnz57
title: CCDC 2224689: Experimental Crystal Structure Determination

description: Related Article: Wenjin Zhang, Yiling Yang, Shaoyi Shi, Siping Pang, Yuchuan Li, Chenghui Sun|2023|Phys.Chem.Chem.Phys.(PCCP)|25|20168|doi:10.1039/D3CP02039H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dnz79
title: CCDC 2224691: Experimental Crystal Structure Determination

description: Related Article: Wenjin Zhang, Yiling Yang, Shaoyi Shi, Siping Pang, Yuchuan Li, Chenghui Sun|2023|Phys.Chem.Chem.Phys.(PCCP)|25|20168|doi:10.1039/D3CP02039H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dnz8b
title: CCDC 2224692: Experimental Crystal Structure Determination

description: Related Article: Wenjin Zhang, Yiling Yang, Shaoyi Shi, Siping Pang, Yuchuan Li, Chenghui Sun|2023|Phys.Chem.Chem.Phys.(PCCP)|25|20168|doi:10.1039/D3CP02039H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fgb3c
title: CCDC 2248092: Experimental Crystal Structure Determination

description: Related Article: Zheng Wang, Ning Ma, Xiaochi Lu, Ming Liu, Tian Liu, Qingbin Liu, Gregory A. Solan, Wen-Hua Sun|2023|Dalton Trans.|52|10574|doi:10.1039/D3DT02022C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.