cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19609356
title: Global 1 km-grid population distributions dataset from 2020 to 2100

description: Spatially explicit population grid can play an important role in climate change, resource management, sustainable development and other fields. Several gridded datasets already exist, but global data, especially high-resolution data on future populations are largely lacking. Based on the WorldPop dataset, we present a global gridded population dataset covering 248 countries or areas at 30 arc-seconds (approximately 1 km) spatial resolution with 5-year intervals for the period 2020–2100 by implementing Random Forest (RF) algorithm. Our dataset is quantitatively consistent with the Shared Socioeconomic Pathways’ (SSPs) national population. The spatially explicit population grid we predicted in this research is validated by comparing it with the WorldPop dataset both at the sub-national level and grid level. 3569 provinces (almost all provinces on the globe) and more than 480 thousand grids are taken into verification, and the results show that our dataset can serve as an input for predictive research in various fields.
DOI: 10.6084/m9.figshare.19609356.v2
title: The code of ‘Projecting 1 km-grid population distributions from 2020 to 2100 globally under shared socioeconomic pathways’

description: Spatially explicit population grid can play an important role in climate change, resource management, sustainable development and other fields. Several gridded datasets already exist, but global data, especially high-resolution data on future populations are largely lacking. Based on the WorldPop dataset, we present a global gridded population dataset covering 248 countries or areas at 30 arc-seconds (approximately 1 km) spatial resolution with 5-year intervals for the period 2020–2100 by implementing Random Forest (RF) algorithm. Our dataset is quantitatively consistent with the Shared Socioeconomic Pathways’ (SSPs) national population. The spatially explicit population grid we predicted in this research is validated by comparing it with the WorldPop dataset both at the sub-national level and grid level. 3569 provinces (almost all provinces on the globe) and more than 480 thousand grids are taken into verification, and the results show that our dataset can serve as an input for predictive research in various fields.
DOI: 10.17909/0txw-f070
title: Detection of Intracluster Globular Clusters in the First JWST Images of the Gravitational Lens Cluster SMACS J0723.3-7327 at z = 0.39
DOI: 10.5281/zenodo.7031985
title: mofdscribe data - BW

description: Dataset used by the mofdscribe software. Contains a subset of the original data, as well as hashes and features. <em>Not intended for direct use. </em>
DOI: 10.5281/zenodo.7031984
title: mofdscribe data - BW

description: Dataset used by the mofdscribe software. Contains a subset of the original data, as well as hashes and features. <em>Not intended for direct use. </em>
DOI: 10.17909/g82d-bf55
title: Data used paper
DOI: 10.17909/jcyc-ks95
title: Data used in the Panic! At the Disks paper
DOI: 10.5281/zenodo.6607508
title: Documenting And Assessing Open Innovation: Co-creation Of An Open Data Model For Surgical Training (Additional materials, tables 2 & 3)

description: Challenge competitions have recently resurged for promoting open innovation in areas where markets fail to provide incentives, such as the Sustainable Development Goals (SDGs). Challenges call for the general public to contribute novel solutions to a well-defined problem, in exchange for prizes, credentials and the promise of further development of selected solutions. The aim of this paper is to report on the development of an open and collaborative data model to document and evaluate innovations in the context of a challenge competition, while also being compatible with the work of other open source communities to validate and improve them. By reusing open documentation standards and embedding them into a semantic collaborative platform, the model aimed to be flexible enough to respond to the evaluation needs of the project organisers and self-assessment for participants. We expect our experience provides insights on the potential of semantic, collaborative platforms and standards for increasing the impact of innovations towards the SDGs. The developer team defined the goal and scope of the ontology in collaboration with the GSTC organisers. This was done by agreeing on scenarios where the ontology will be used and establishing competency questions that the ontology has to be able to respond to. Table 2 describes the four motivating scenarios, including actors involved, requirements, sequence of actions and main problems identified. Table 3 details the competency questions for each scenario.
DOI: 10.5281/zenodo.6607507
title: Documenting And Assessing Open Innovation: Co-creation Of An Open Data Model For Surgical Training (Additional materials, tables 2 & 3)

description: Challenge competitions have recently resurged for promoting open innovation in areas where markets fail to provide incentives, such as the Sustainable Development Goals (SDGs). Challenges call for the general public to contribute novel solutions to a well-defined problem, in exchange for prizes, credentials and the promise of further development of selected solutions. The aim of this paper is to report on the development of an open and collaborative data model to document and evaluate innovations in the context of a challenge competition, while also being compatible with the work of other open source communities to validate and improve them. By reusing open documentation standards and embedding them into a semantic collaborative platform, the model aimed to be flexible enough to respond to the evaluation needs of the project organisers and self-assessment for participants. We expect our experience provides insights on the potential of semantic, collaborative platforms and standards for increasing the impact of innovations towards the SDGs. The developer team defined the goal and scope of the ontology in collaboration with the GSTC organisers. This was done by agreeing on scenarios where the ontology will be used and establishing competency questions that the ontology has to be able to respond to. Table 2 describes the four motivating scenarios, including actors involved, requirements, sequence of actions and main problems identified. Table 3 details the competency questions for each scenario.
DOI: 10.6084/m9.figshare.20714803
title: Dataset_Burraco_et_al_TL_Metamorphosis.xlsx

description: Dataset of the study <em>Ageing across the great divide: tissue transformation, organismal growth, and temperature shape telomere dynamics through the metamorphic transition</em>
DOI: 10.6084/m9.figshare.20714803.v1
title: Dataset_Burraco_et_al_TL_Metamorphosis.xlsx

description: Dataset of the study <em>Ageing across the great divide: tissue transformation, organismal growth, and temperature shape telomere dynamics through the metamorphic transition</em>
DOI: 10.5281/zenodo.7020755
title: Differential effects of weather, plant phenology and predators on the seasonal variation of aphids on cabbage

description: Raw field data of aphids and predator (Syrphid, spiders, and coccinellids) densities on cabbage, and weather data in two agroecological zones of Ghana, collected over two years for five cropping seasons. Data was collected on field-grown cabbage weekly after two weeks of transplanting, till when cabbages were matured. The destructive sampling method according to Hughes, 1963 was adopted by randomly sampling the third, fourth, and fifth expanded leaves of 20 randomly selected cabbage plants. Aphids and predators present were visually identified, counted, and recorded.
DOI: 10.5281/zenodo.7020754
title: Differential effects of weather, plant phenology and predators on the seasonal variation of aphids on cabbage

description: Raw field data of aphids and predator (Syrphid, spiders, and coccinellids) densities on cabbage, and weather data in two agroecological zones of Ghana, collected over two years for five cropping seasons. Data was collected on field-grown cabbage weekly after two weeks of transplanting, till when cabbages were matured. The destructive sampling method according to Hughes, 1963 was adopted by randomly sampling the third, fourth, and fifth expanded leaves of 20 randomly selected cabbage plants. Aphids and predators present were visually identified, counted, and recorded.
DOI: 10.6084/m9.figshare.19802719
title: Antimicrobial activity of Brachystegia boehmii extracts and their green synthesized silver nanoparticles.

description: The Antimicrobial Activity data excel file consists of 2 tabs. The first tab labelled 'Zone of Inhibition Results' shows seven different modes of treatment against five bacteria;<em> Klebsiella pnuemoniae, Psuedomonas aeruginosa, Staphylococcus aureaus , Staphylococus epidermidis </em>and<em> Escherichia coli.</em> The drugs tested were as follows; <em>Brachystegia boehmii</em> nanopaticles, <em>B. boehmii</em> water extract, <em>B. boehmii </em>methanol extract,<em> B. boehmii</em> chloroform extract and the controls [Ciprofloxacin, Dimethyl Sulfoxide and Silver Nitrate] All the zone of inhibition diameter results were recorded in millimeters (mm). <br> The second tab labelled 'UV-Vis Spec Results' shows the UV-Vis Absorbance spectra of silver nanoparticles: Green synthesized <em>B. boehmii</em> and Sodium citrate synthesized (Control). <br> The zone of Inhibition diameter analysis .doc file presents the Statistical Package for the Social Sciences (SPSS Version 26) output calculations. Repeated measures ANOVA was used to test for the level of significance for both the treatment trials and the organisms. Values p&lt;0.05 were taken to imply statistical significance. <br>
DOI: 10.6084/m9.figshare.19802719.v4
title: Antimicrobial activity of Brachystegia boehmii extracts and their green synthesized silver nanoparticles.

description: The Antimicrobial Activity data excel file consists of 2 tabs. The first tab labelled 'Zone of Inhibition Results' shows seven different modes of treatment against five bacteria;<em> Klebsiella pnuemoniae, Psuedomonas aeruginosa, Staphylococcus aureaus , Staphylococus epidermidis </em>and<em> Escherichia coli.</em> The drugs tested were as follows; <em>Brachystegia boehmii</em> nanopaticles, <em>B. boehmii</em> water extract, <em>B. boehmii </em>methanol extract,<em> B. boehmii</em> chloroform extract and the controls [Ciprofloxacin, Dimethyl Sulfoxide and Silver Nitrate] All the zone of inhibition diameter results were recorded in millimeters (mm). <br> The second tab labelled 'UV-Vis Spec Results' shows the UV-Vis Absorbance spectra of silver nanoparticles: Green synthesized <em>B. boehmii</em> and Sodium citrate synthesized (Control). <br> The zone of Inhibition diameter analysis .spv file attached is an SPSS statistic output document showing the repeated measures ANOVA used to test for the level of significance for both the treatment trials and the organisms. <br>
DOI: 10.21227/ykz8-sy55
title: SCVIC-CIDS-2021: Collaborative Feature Maps of Networks and Hosts for AI-driven Intrusion Detection

description: SCVIC-CIDS-2021 is a novel dataset that combines network- and host-based data. SCVIC-CIDS-2021 is derived from the meta-data (i.e., network packets, system logs and labeling information) from the well-known benchmark dataset, CIC-IDS-2018 (Iman Sharafaldin, Arash Habibi Lashkari, and Ali A. Ghorbani, “Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization”, 4th International Conference on Information Systems Security and Privacy (ICISSP), Portugal, January 2018 ) . In our paper ( J. Liu, M. Simsek, B. Kantarci, M. Bagheri, P. Djukic “Collaborative Feature Maps of Networks and Hosts for AI-driven Intrusion Detection,” IEEE Global Communications Conference (Globecom), Rio de Janeiro, Brazil, December 2022), the generation procedure is described in detail.
DOI: 10.5281/zenodo.7018607
title: Action-based predictions affect visual perception, neural processing, and pupil size, regardless of temporal predictability

description: Data supporting the findings in: Lubinus, C., Einhäuser, W., Schiller, F., Kircher, T., Straube, B., & van Kemenade, B. M. (2022). Action-based predictions affect visual perception, neural processing, and pupil size, regardless of temporal predictability. <em><strong>NeuroImage</strong>. DOI: XXX</em> Details are specified in the readme file.
DOI: 10.5281/zenodo.7018606
title: Action-based predictions affect visual perception, neural processing, and pupil size, regardless of temporal predictability

description: Data supporting the findings in: Lubinus, C., Einhäuser, W., Schiller, F., Kircher, T., Straube, B., & van Kemenade, B. M. (2022). Action-based predictions affect visual perception, neural processing, and pupil size, regardless of temporal predictability. <em><strong>NeuroImage</strong>. DOI: XXX</em> Details are specified in the readme file.
DOI: 10.5281/zenodo.5167699
title: A network for simulating pre-colonial migration in1the Americas

description: Supplementary files for GIScience conference short paper
DOI: 10.5281/zenodo.7032365
title: CBB controlled by EPF

description: This is the raw data for journal submission and review.
DOI: 10.5281/zenodo.7032364
title: CBB controlled by EPF

description: This is the raw data for journal submission and review.
DOI: 10.6084/m9.figshare.20714050
title: sarcoramphus_papa_zanfona_1.fasta.gz

description: .......
DOI: 10.6084/m9.figshare.20714050.v1
title: sarcoramphus_papa_zanfona_1.fasta.gz

description: .......
DOI: 10.5281/zenodo.6559512
title: alfa-synuclein spectra for the paper "Linear discriminant analysis reveals hidden patterns in NMR chemical shifts of intrinsically disordered proteins"

description: The experimental data for the paper "Linear discriminant analysis<br> reveals hidden patterns in NMR chemical shifts of intrinsically<br> disordered proteins" - four spectra of an intrinsically disordered<br> protein alfa-synuclein:<br> <br> 3D HNCO<br> <br> 4D HabCab(CO)NH<br> <br> 4D (H)N(CA)CONH<br> <br> 4D HNCACO<br> <br> All spectra were acquired using non-uniform sampling (schedules included<br> as 'schedule.txt' files in a format of 'Kozminski' method in VnmrJ). 3D<br> spectrum was processed using multidimensional Fourier transform<br> (http://nmr.cent3.uw.edu.pl/software, program 'toastd'). 4D spectra<br> were processed using sparse multidimensional Fourier transform<br> (http://nmr.cent3.uw.edu.pl/software, program 'reduced'), based on a<br> HNCO peak list ('peak.list' file). Files with processing parameters are<br> included as 'parameters.txt' files.<br> <br> The resulting spectra are included as Sparky .ucsf files. The files for<br> 4D spectra are the collections of 2D cross-sections with the<br> cross-section number corresponding to the numbering of HNCO peaks in the<br> 'peak.list' file.
DOI: 10.5281/zenodo.6559511
title: alfa-synuclein spectra for the paper "Linear discriminant analysis reveals hidden patterns in NMR chemical shifts of intrinsically disordered proteins"

description: The experimental data for the paper "Linear discriminant analysis<br> reveals hidden patterns in NMR chemical shifts of intrinsically<br> disordered proteins" - four spectra of an intrinsically disordered<br> protein alfa-synuclein: 3D HNCO 4D HabCab(CO)NH 4D (H)N(CA)CONH 4D HNCACO All spectra were acquired using non-uniform sampling (schedules included<br> as 'schedule.txt' files in a format of 'Kozminski' method in VnmrJ). 3D<br> spectrum (HNCO_nuFT.ucsf) was processed using multidimensional Fourier transform<br> (http://nmr.cent3.uw.edu.pl/software, program 'toastd'). Additionally, we provide a spectrum cleaned of NUS artifacts (HNCO_artifacts_cleaned.ucsf) using program handy (http://nmr.cent3.uw.edu.pl/software, program 'handy'). 4D spectra were processed using sparse multidimensional Fourier transform<br> (http://nmr.cent3.uw.edu.pl/software, program 'reduced'), based on a<br> HNCO peak list ('peak.list' file). Files with processing parameters are<br> included as 'parameters.txt' files. The resulting spectra are included as Sparky .ucsf files. The files for<br> 4D spectra are the collections of 2D cross-sections with the<br> cross-section number corresponding to the numbering of HNCO peaks in the<br> 'peak.list' file. The folder 'Application2_assignment_transfer' contains Sparky 'ucsf' and 'save' files of the two-dimensional NH projection of the HNCO spectrum with the experimental (HSQC_exp.list) and BMRB (HSQC_bmrb.list) peak lists read into the spectrum. The experimental peaks are marked with arbitrary numbers and BMRB peaks - with names of the preceding aa-residues. The correct assignment is shown in the file 'assignment.txt'.
DOI: 10.5281/zenodo.7023213
title: alfa-synuclein spectra for the paper "Linear discriminant analysis reveals hidden patterns in NMR chemical shifts of intrinsically disordered proteins"

description: The experimental data for the paper "Linear discriminant analysis<br> reveals hidden patterns in NMR chemical shifts of intrinsically<br> disordered proteins" - four spectra of an intrinsically disordered<br> protein alfa-synuclein:<br> <br> 3D HNCO<br> <br> 4D HabCab(CO)NH<br> <br> 4D (H)N(CA)CONH<br> <br> 4D HNCACO<br> <br> All spectra were acquired using non-uniform sampling (schedules included<br> as 'schedule.txt' files in a format of 'Kozminski' method in VnmrJ). 3D<br> spectrum (HNCO_nuFT.ucsf) was processed using multidimensional Fourier transform<br> (http://nmr.cent3.uw.edu.pl/software, program 'toastd'). Additionally, we provide a spectrum cleaned of NUS artifacts (HNCO_artifacts_cleaned.ucsf) using program handy (http://nmr.cent3.uw.edu.pl/software, program 'handy'). 4D spectra were processed using sparse multidimensional Fourier transform<br> (http://nmr.cent3.uw.edu.pl/software, program 'reduced'), based on a<br> HNCO peak list ('peak.list' file). Files with processing parameters are<br> included as 'parameters.txt' files.<br> <br> The resulting spectra are included as Sparky .ucsf files. The files for<br> 4D spectra are the collections of 2D cross-sections with the<br> cross-section number corresponding to the numbering of HNCO peaks in the<br> 'peak.list' file.
DOI: 10.5281/zenodo.7032142
title: alfa-synuclein spectra for the paper "Linear discriminant analysis reveals hidden patterns in NMR chemical shifts of intrinsically disordered proteins"

description: The experimental data for the paper "Linear discriminant analysis<br> reveals hidden patterns in NMR chemical shifts of intrinsically<br> disordered proteins" - four spectra of an intrinsically disordered<br> protein alfa-synuclein: 3D HNCO 4D HabCab(CO)NH 4D (H)N(CA)CONH 4D HNCACO All spectra were acquired using non-uniform sampling (schedules included<br> as 'schedule.txt' files in a format of 'Kozminski' method in VnmrJ). 3D<br> spectrum (HNCO_nuFT.ucsf) was processed using multidimensional Fourier transform<br> (http://nmr.cent3.uw.edu.pl/software, program 'toastd'). Additionally, we provide a spectrum cleaned of NUS artifacts (HNCO_artifacts_cleaned.ucsf) using program handy (http://nmr.cent3.uw.edu.pl/software, program 'handy'). 4D spectra were processed using sparse multidimensional Fourier transform<br> (http://nmr.cent3.uw.edu.pl/software, program 'reduced'), based on a<br> HNCO peak list ('peak.list' file). Files with processing parameters are<br> included as 'parameters.txt' files. The resulting spectra are included as Sparky .ucsf files. The files for<br> 4D spectra are the collections of 2D cross-sections with the<br> cross-section number corresponding to the numbering of HNCO peaks in the<br> 'peak.list' file. The folder 'Application2_assignment_transfer' contains Sparky 'ucsf' and 'save' files of the two-dimensional NH projection of the HNCO spectrum with the experimental (HSQC_exp.list) and BMRB (HSQC_bmrb.list) peak lists read into the spectrum. The experimental peaks are marked with arbitrary numbers and BMRB peaks - with names of the preceding aa-residues. The correct assignment is shown in the file 'assignment.txt'.
DOI: 10.5281/zenodo.7032350
title: mofdscribe data - ARCMOF

description: Dataset used by the mofdscribe software. Contains a subset of the original data, as well as hashes and features. <em>Not intended for direct use. </em>
DOI: 10.5281/zenodo.7032349
title: mofdscribe data - ARCMOF

description: Dataset used by the mofdscribe software. Contains a subset of the original data, as well as hashes and features. <em>Not intended for direct use. </em>
DOI: 10.34740/kaggle/dsv/4121554
title: Film Set Accidents
DOI: 10.6084/m9.figshare.20715643
title: pig STC peakwise data LU_vs_OU

description: hMeDIP-seq data
DOI: 10.6084/m9.figshare.20715643.v1
title: pig STC peakwise data LU_vs_OU

description: hMeDIP-seq data
DOI: 10.6084/m9.figshare.20715703
title: pig STC peakwise data OU_vs_OT

description: hMeDIP-seq data
DOI: 10.6084/m9.figshare.20715703.v1
title: pig STC peakwise data OU_vs_OT

description: hMeDIP-seq data
DOI: 10.25824/redu/fwxjft
title: Analise Experts.tab

description: Análise pelos Experts
DOI: 10.25824/redu/bmydjd
title: TESTE_Profissionais de Saúde.tab

description: Teste - Profissionais de Saude
DOI: 10.25824/redu/dudo9j
title: Validação de formulário para planejamento e elaboração de cenários de simulação realística em saúde

description: Banco de dados referente à seleção dos juízes e os dados do IVC do formulário ForPEC e seu manual operacional, na avaliação dos juízes selecionados e banco de dados referente os testes do formulário do manual operacional pelos usuários do estudo.
DOI: 10.5281/zenodo.7032333
title: WS22 database: combining Wigner Sampling and geometry interpolation towards configurationally diverse molecular datasets

description: The WS22 database provides a collection of molecular datasets that explores a broad configurational space of flexible organic molecules with varying sizes and complexity. It includes several chemical properties calculated with a quantum chemical (QM) method. Complementary to the structured datasets, this repository also provides the molecular geometries for the equilibrium structures together with the corresponding output of the QM frequency calculations. Details about the methodology, content, and structure of the WS22 datasets are provided in the README file included in this repository.
DOI: 10.6084/m9.figshare.20134451
title: TAG sulfide Fe isotope data

description: Fe isotope data for sulfide minerals from the TAG active sulfide mound, 26°N Mid-Atlantic Ridge. Data generated at the Vegacenter at the Swedish Museum of Natural History in Stockholm.
DOI: 10.6084/m9.figshare.20134451.v1
title: TAG sulfide Fe isotope data

description: Fe isotope data for sulfide minerals from the TAG active sulfide mound, 26°N Mid-Atlantic Ridge. Data generated at the Vegacenter at the Swedish Museum of Natural History in Stockholm.
DOI: 10.25824/redu/sbiev4
title: Cópia de Extração dos dados TCC - Cursos Online.xlsx

description: Banco com dados colhidos dos artigos e sem identificação dos envolvidos.