cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22094861.v1
title: VISA_NIBMG.zip

description: Analysis of gene expression data of <em>S. aureus </em>in response to stress and with vancomycin-intermediate resistance (VISA). Step 1: Download the file and save it in your system. Unzip and extract all the files in the desired location. Step 2: Start R (we used version 4.1.0), and Change the directory to this location. Step 3: Run the script <em>analyse.R</em> The folder <strong>VISA_NIBMG</strong> contains files with the GSE IDs of all datasets analyzed, which consists of a <em>getData.R</em> file, which is used to make the expression set for each dataset. Another folder named <strong>Rcode</strong> consists of a folder called <strong>funcDefs</strong>, which has all the function definitions used in the main <em>analyse.R</em> file. All files in <strong>Rcode</strong> folder are called by the <em>analyse.R</em> file. <strong>Metadata</strong> folder contains all the additional information needed to run the <em>analyse.R</em> file
DOI: 10.57745/ldiptm
title: Dataset_FeedingBeanStubble_Sheep_Cuba.xls

description: :unav
DOI: 10.6084/m9.figshare.22099423
title: Shaw et al code.zip from Gaps in modelling animal migration with evolutionary game theory: infection can favour the loss of migration

description: Ongoing environmental changes alter how natural selection shapes animal migration. Understanding how these changes play out theoretically can be done using evolutionary game theoretic (EGT) approaches, such as looking for evolutionarily stable strategies. Here, we first describe historical patterns of how EGT models have explored different drivers of migration. We find that there are substantial gaps in both the taxa (mammals, amphibians, reptiles, insects) and mechanisms (mutualism, interspecific competition) included in past EGT models of migration. Although enemy interactions, including parasites, are increasingly considered in models of animal migration, they remain the least studied of factors for migration considered to date. Furthermore, few papers look at changes in migration in response to perturbations (e.g. climate change, new species interactions). To address this gap, we present a new EGT model to understand how infection with a novel parasite changes host migration. We find three possible outcomes when migrants encounter novel parasites: maintenance of migration (despite the added infection cost), loss of migration (evolutionary shift to residency) or population collapse, depending on the risk and cost of getting infected, and the cost currency. Our work demonstrates how emerging infection can alter animal behaviour such as migration.This article is part of the theme issue ‘Half a century of evolutionary games: a synthesis of theory, application and future directions’.
DOI: 10.6084/m9.figshare.22099423.v1
title: Shaw et al code.zip from Gaps in modelling animal migration with evolutionary game theory: infection can favour the loss of migration

description: Ongoing environmental changes alter how natural selection shapes animal migration. Understanding how these changes play out theoretically can be done using evolutionary game theoretic (EGT) approaches, such as looking for evolutionarily stable strategies. Here, we first describe historical patterns of how EGT models have explored different drivers of migration. We find that there are substantial gaps in both the taxa (mammals, amphibians, reptiles, insects) and mechanisms (mutualism, interspecific competition) included in past EGT models of migration. Although enemy interactions, including parasites, are increasingly considered in models of animal migration, they remain the least studied of factors for migration considered to date. Furthermore, few papers look at changes in migration in response to perturbations (e.g. climate change, new species interactions). To address this gap, we present a new EGT model to understand how infection with a novel parasite changes host migration. We find three possible outcomes when migrants encounter novel parasites: maintenance of migration (despite the added infection cost), loss of migration (evolutionary shift to residency) or population collapse, depending on the risk and cost of getting infected, and the cost currency. Our work demonstrates how emerging infection can alter animal behaviour such as migration.This article is part of the theme issue ‘Half a century of evolutionary games: a synthesis of theory, application and future directions’.
DOI: 10.6084/m9.figshare.22099498
title: Table S10 from Sex-biased gene expression in nutrient sensing pathways

description: Table S10 a_qRT_PCR_RAW_normalised gene expression and b_qRT_PCR Ct values
DOI: 10.6084/m9.figshare.22099498.v1
title: Table S10 from Sex-biased gene expression in nutrient sensing pathways

description: Table S10 a_qRT_PCR_RAW_normalised gene expression and b_qRT_PCR Ct values
DOI: 10.6084/m9.figshare.22099493.v1
title: Credibility-Assessment-using-an-Attention-Based-Recurrent-Multichannel-Neural-Network-Architecture-main.zip

description: Dataset file and source code.
DOI: 10.6084/m9.figshare.22099493
title: Credibility-Assessment-using-an-Attention-Based-Recurrent-Multichannel-Neural-Network-Architecture-main.zip

description: Dataset file and source code.
DOI: 10.5281/zenodo.7547731
title: video data from inside a Ruhrstahl Heraeus degasser

description: An Ruhrstahl Heraeus plant is used in steel making to adjust the chemical composition of the steel right before casting. The process and the setup to generate the images provided in this data set are described more in detail in DOI: 10.1002/srin.202200060. The two major treatment types are degassing and decarbonization. The first focuses on removing desolved gases from the melt. The second includes the removal of carbon from the melt in addition to the degassing. The data set provided here contains images taken from 1 treatment. Each folder contains two subfolders "empty" and "treatment". In the folder "empty" 119 images from the empty chamber right before the treatment starts. The folder "treatment" contains images from the treatment. These have already been filtered using processdata for good viewing conditions. The process data itself is not part of the data set. The INEVITABLE project, carried out in a collaboration with voestalpine Stahl GmbH, has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 869815. This paper reflects only the authors' views, and the European Commission is not responsible for any use that may be made of the information it contains. The authors moreover gratefully acknowledge the funding support of K1-MET GmbH, whose research program is supported by COMET (Competence Center for Excellent Technologies), the Austrian program for competence centers. COMET is funded by the Austrian ministries BMK and BMDW, the provinces of Upper Austria, Tyrol, and Styria, and the Styrian Business Promotion Agency (SFG).
DOI: 10.6084/m9.figshare.22099508.v1
title: population genomic analysis

description: population genomic analysis code
DOI: 10.5281/zenodo.7642146
title: video data from inside a Ruhrstahl Heraeus degasser

description: An Ruhrstahl Heraeus plant is used in steel making to adjust the chemical composition of the steel right before casting. The process and the setup to generate the images provided in this data set are described more in detail in DOI: 10.1002/srin.202200060. The two major treatment types are degassing and decarbonization. The first focuses on removing desolved gases from the melt. The second includes the removal of carbon from the melt in addition to the degassing. The data set provided here contains images taken from 90 treatments. Each folder contains two subfolders "empty" and "treatment". In the folder "empty" 119 images from the empty chamber right before the treatment starts. The folder "treatment" contains images from the treatment. These have already been filtered using processdata for good viewing conditions. The process data itself is not part of the data set. The INEVITABLE project, carried out in a collaboration with voestalpine Stahl GmbH, has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 869815. This paper reflects only the authors' views, and the European Commission is not responsible for any use that may be made of the information it contains. The authors moreover gratefully acknowledge the funding support of K1-MET GmbH, whose research program is supported by COMET (Competence Center for Excellent Technologies), the Austrian program for competence centers. COMET is funded by the Austrian ministries BMK and BMDW, the provinces of Upper Austria, Tyrol, and Styria, and the Styrian Business Promotion Agency (SFG).
DOI: 10.5281/zenodo.7547730
title: video data from inside a Ruhrstahl Heraeus degasser

description: An Ruhrstahl Heraeus plant is used in steel making to adjust the chemical composition of the steel right before casting. The process and the setup to generate the images provided in this data set are described more in detail in DOI: 10.1002/srin.202200060. The two major treatment types are degassing and decarbonization. The first focuses on removing desolved gases from the melt. The second includes the removal of carbon from the melt in addition to the degassing. The data set provided here contains images taken from 90 treatments. Each folder contains two subfolders "empty" and "treatment". In the folder "empty" 119 images from the empty chamber right before the treatment starts. The folder "treatment" contains images from the treatment. These have already been filtered using processdata for good viewing conditions. The process data itself is not part of the data set. The INEVITABLE project, carried out in a collaboration with voestalpine Stahl GmbH, has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 869815. This paper reflects only the authors' views, and the European Commission is not responsible for any use that may be made of the information it contains. The authors moreover gratefully acknowledge the funding support of K1-MET GmbH, whose research program is supported by COMET (Competence Center for Excellent Technologies), the Austrian program for competence centers. COMET is funded by the Austrian ministries BMK and BMDW, the provinces of Upper Austria, Tyrol, and Styria, and the Styrian Business Promotion Agency (SFG).
DOI: 10.6084/m9.figshare.22081622
title: 00 results analysis.xlsx

description: Results analysis : - Respondent Data - Loadings factor indicator per variable - Composite Reliability - Latent variable - Average Variace Extracted (AVE) - R Square - Structural Model - Correlation between variables
DOI: 10.6084/m9.figshare.22081622.v1
title: 00 results analysis.xlsx

description: Results analysis : - Respondent Data - Loadings factor indicator per variable - Composite Reliability - Latent variable - Average Variace Extracted (AVE) - R Square - Structural Model - Correlation between variables
DOI: 10.6084/m9.figshare.22081619.v1
title: Book1 Result tabulating data.csv

description: data tabulation
DOI: 10.6084/m9.figshare.22081619
title: Book1 Result tabulating data.csv

description: data tabulation
DOI: 10.6084/m9.figshare.22099550
title: K4DT_specific_genes

description: K4DT specific genes
DOI: 10.6084/m9.figshare.22099550.v1
title: K4DT_specific_genes

description: K4DT specific genes
DOI: 10.6084/m9.figshare.22099568
title: SV40_specific_genes

description: SV40 specific genes
DOI: 10.6084/m9.figshare.22099568.v1
title: SV40_specific_genes

description: SV40 specific genes
DOI: 10.5281/zenodo.7089686
title: Effectiveness of the spectral area index created by three algorithms for tree species recognition

description: This dataset is an experimental dataset used to extract PAIs and verify their effectiveness in tree species classification.
DOI: 10.5281/zenodo.7089685
title: Effectiveness of the spectral area index created by three algorithms for tree species recognition

description: This dataset is an experimental dataset used to extract PAIs and verify their effectiveness in tree species classification.
DOI: 10.6084/m9.figshare.22099541
title: Interview transcripts for the article "Climate change adaptation measures conflicted with the recreational demands on city forests during COVID-19 pandemic"

description: The data sets contain transcripts (in German language) of stakeholders interview for the paper "Climate change adaptation measures conflicted with the recreational demands on city forests during COVID-19 pandemic". As of 15.02.2023 the paper received a minor review from the journal "npj Urban Sustainability" from the Springer Nature Publishing group.
DOI: 10.6084/m9.figshare.22099580
title: Dataset

description: This contains OTD raw data and questionnaire
DOI: 10.6084/m9.figshare.22099571
title: Influence of LED Light Radiation on Growing of Green Microplants

description: .Values of microclimate factors in an experimental urban farm module and the light radiation values for each of the alveolar trays
DOI: 10.6084/m9.figshare.22099571.v1
title: Influence of LED Light Radiation on Growing of Green Microplants

description: .Values of microclimate factors in an experimental urban farm module and the light radiation values for each of the alveolar trays
DOI: 10.5281/zenodo.7642188
title: The dataset for paper Roughness prediction of end milling surface for behavior mapping of digital twined machine tools

description: The original real measured surface roughness is in the "Ra.xlsx". The origigital sensor data is named as "ACF-x-x". In each excel document, three directions of vibration, current and force sensor data is included. <br> Naming rules is as follows: In“ACF-1-2", "1-2"represents the second slot in first layler. <br> The corresponding cutting parameters for each slot are illustraed in "Ra.xlsx" document.
DOI: 10.5281/zenodo.7642187
title: The dataset for paper Roughness prediction of end milling surface for behavior mapping of digital twined machine tools

description: The original real measured surface roughness is in the "Ra.xlsx". The origigital sensor data is named as "ACF-x-x". In each excel document, three directions of vibration, current and force sensor data is included. <br> Naming rules is as follows: In“ACF-1-2", "1-2"represents the second slot in first layler. <br> The corresponding cutting parameters for each slot are illustraed in "Ra.xlsx" document.
DOI: 10.15151/esrf-es-1018273701
title: ITABAG: 3D structures of macromolecules related to human health

description: The ITABAG includes structural biologists from Universities, the National Research Council and Hospital research centres in Italy. The laboratories take advantage of single crystal and small angle X-ray diffraction methods to study the structure-function relationships in various macromolecules. A unifying factor for the vast majority of the macromolecules under study is that they are related to human health, either directly, being human proteins involved in some disease, or indirectly, as proteins expressed by human pathogens and validated as potential pharmacological targets. Other projects investigate basic chemical processes, such as crystal growth, or aim at characterising macromolecules with potential biotechnological applications.
DOI: 10.15151/esrf-es-1021965520
title: Paris Rive-Gauche BAG: from structure to drug design

description: Our BAG was created in 2006 to federate well-established structural biology laboratories from south Paris. At present, several projects are investigated by different teams from 5 Institutes: (1) I2BC (Institut de Biologie Inte#grative de la Cellule), (2) IBPC (Institut de Biologie Physico-Chimique), (3) INSERM (Institut National de la Sante# et de la Recherche Me#dicale), (4) LBPA (Laboratoire de Biologie et Pharmacologie Applique#e) and (5) CiTCoM (CiblesTherapeutiques et Conception de Medicaments, ex-name LCRB). Our research area focuses on many important biological systems involved in human pathology or infectious diseases, including molecular chaperones, DNA recombination, RNA maturation, ribosome biogenesis, telomerase assembly, bacterial toxins, malaria disease, neurodegenerative disease, drugs resistance and cell-signalling.
DOI: 10.15151/esrf-es-1023809659
title: Macromolecular crystallography at the Philipps University Marburg (MarBAG)

description: Located at the Philipps-University-Marburg and the Max-Planck-Institute for terrestrial Microbiology in Marburg, Germany, the MarBAG employs X-ray crystallography to answer fundamental questions involving synthesis and assembly of macromolecular machines and cellular structures (e.g. CO2-fixation pathways, flagellar biosynthesis, CRISPR-Cas Systems, cell-wall-related processes). Our analysis of the structural basis of CO2 fixation and the synthesis of the green-house gas methane will help to engineer these processes as tools in climate control. Furthermore, we are interested in plant-pathogen interactions and the function of nucleotide derived signalling molecules in cellular stress physiology and organization. Currently, a 200 keV cryo-electron microscope is being installed at the UMR to complement our efforts to structurally characterize macromolecular complexes, which do not readily crystallize.
DOI: 10.15151/esrf-es-1030394012
title: Temperature evolution of the crystal structure of Ca2Fe2.6S2O3

description: This proposal to establish the details of the crystal structure at low temperatures of the layered oxide chalcogenide Ca2Fe2.6S2O3. This will enable us to correlate the structural evolution with the the unusual change in magnetic ordering that occurs around 70K accompanied also by a change in the resistivity, and relate this to subtle changes in the details of the complex superstructure which results from Fe ion/vacancy ordering.
DOI: 10.6084/m9.figshare.20277759.v1
title: Fungal genome size and composition reflect ecological strategies along soil fertility gradients

description: Fungal genome size and composition and their community weighted mean along the Australian continent <br>
DOI: 10.14278/rodare.1322
title: DNA Based Formation of Nanodisc-Stacks

description: We describe here the formation of multimers of membrane-scaffolding protein MSP1D1-bounded nanodiscs using the thiol reactivity of engineered cysteines. The mutated positions N42 and K163 in MSP1D1 were chosen to support chemical modification as evidenced by fluorescent labeling with pyrene. The direct disulphide bond formation of nanodiscs formed by the MSP1D1_N42C variant led to dimers and trimers with low yield. In contrast, transmission electron microscopy revealed that the attachment of oligonucleotides to the engineered cysteines of MSP1D1 allowed the growth of submicron-sized tracts of stacked nanodiscs through the hybridization of nanodisc populations carrying complementary strands and a flexible spacer.
DOI: 10.14278/rodare.1321
title: DNA Based Formation of Nanodisc-Stacks

description: We describe here the formation of multimers of membrane-scaffolding protein MSP1D1-bounded nanodiscs using the thiol reactivity of engineered cysteines. The mutated positions N42 and K163 in MSP1D1 were chosen to support chemical modification as evidenced by fluorescent labeling with pyrene. The direct disulphide bond formation of nanodiscs formed by the MSP1D1_N42C variant led to dimers and trimers with low yield. In contrast, transmission electron microscopy revealed that the attachment of oligonucleotides to the engineered cysteines of MSP1D1 allowed the growth of submicron-sized tracts of stacked nanodiscs through the hybridization of nanodisc populations carrying complementary strands and a flexible spacer.
DOI: 10.57745/mpe7jy
title: Derivatives.dat

description: :unav
DOI: 10.57745/sg8ol2
title: Isotopes.dat

description: :unav
DOI: 10.57745/kdqqrr
title: GCMS_example_file.txt

description: :unav
DOI: 10.57745/tqkkqp
title: Metabolites.dat

description: :unav
DOI: 10.6084/m9.figshare.22099673
title: Final Dataset

description: Dataset
DOI: 10.6084/m9.figshare.22099673.v1
title: Final Dataset

description: Dataset
DOI: 10.5281/zenodo.7270630
title: Taxonomy of Knowledge Types for Synthetic Data Generation

description: The full taxonomy of knowledge types for synthetic data generation in production. For more information, see IHSI 2023 conference paper.
DOI: 10.5281/zenodo.7270629
title: Taxonomy of Knowledge Types for Synthetic Data Generation

description: The full taxonomy of knowledge types for synthetic data generation in production. For more information, see IHSI 2023 conference paper.
DOI: 10.5517/ccdc.csd.cc2cpz24
title: CCDC 2195856: Experimental Crystal Structure Determination

description: Related Article: Gabrielle Audsley, Harry Carpenter, Nsikak B. Essien, James Lai-Morrice, Youssra Al-Hilaly, Louise C. Serpell, Geoffrey R. Akien, Graham J. Tizzard, Simon J. Coles, Cristina Pubill Ulldemolins, George E. Kostakis|2023|Inorg.Chem.|62|2680|doi:10.1021/acs.inorgchem.2c03737
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.cc2cpz35
title: CCDC 2195857: Experimental Crystal Structure Determination

description: Related Article: Gabrielle Audsley, Harry Carpenter, Nsikak B. Essien, James Lai-Morrice, Youssra Al-Hilaly, Louise C. Serpell, Geoffrey R. Akien, Graham J. Tizzard, Simon J. Coles, Cristina Pubill Ulldemolins, George E. Kostakis|2023|Inorg.Chem.|62|2680|doi:10.1021/acs.inorgchem.2c03737
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.cc2cpz46
title: CCDC 2195858: Experimental Crystal Structure Determination

description: Related Article: Gabrielle Audsley, Harry Carpenter, Nsikak B. Essien, James Lai-Morrice, Youssra Al-Hilaly, Louise C. Serpell, Geoffrey R. Akien, Graham J. Tizzard, Simon J. Coles, Cristina Pubill Ulldemolins, George E. Kostakis|2023|Inorg.Chem.|62|2680|doi:10.1021/acs.inorgchem.2c03737
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.cc2d0mnq
title: CCDC 2205143: Experimental Crystal Structure Determination

description: Related Article: Bing-Qian Jin, Yu-Qing Song, Yin-Xue Ma, Yue Zhou, Gui-Mei Tang, Yong-Tao Wang|2023|J.Mol.Struct.|1279|134980|doi:10.1016/j.molstruc.2023.134980
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.