cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7503995
title: Selecting for infectivity across metapopulations can increase virulence in the social microbe Bacillus thuringiensis:data set.

description: Passage experiments that sequentially infect hosts with parasites have long been used to manipulate virulence. However, for many invertebrate pathogens passage has been applied naively without a full theoretical understanding of how best to select for increased virulence and this has led to very mixed results. Understanding the evolution of virulence is complex because selection on parasites occurs across multiple spatial scales with potentially different conflicts operating on parasites with different life-histories. For example, in social microbes, strong selection on replication rate within hosts can lead to cheating and loss of virulence, because investment in public goods virulence reduces replication rate. In this study<em> </em>we tested how varying mutation supply and selection for infectivity or pathogen yield (population size in hosts) affected evolution of virulence against resistant hosts in the specialist insect pathogen <em>Bacillus thuringiensis</em>, aiming to optimize methods for strain improvement against a difficult to kill insect target. We show that selection for infectivity using competition between sub-populations in a metapopulation prevents social cheating, acts to retain key virulence plasmids and facilitates increased virulence. Increased virulence was associated with reduced efficiency of sporulation, and possible loss of function in putative regulatory genes but not with altered expression of the primary virulence factors. Selection in a metapopulation provides a broadly applicable tool for improving the efficacy of biocontrol agents. Moreover, a structured host population can facilitate artificial selection on infectivity, while selection on life history traits such as faster replication or larger population sizes can reduce virulence in social microbes.
description: This dataset consists of raw experimental data (bioassays, toxin profiles, spore producitivty, mutation analysis) pertaining to a paper accepted in Evolutionary Applications doi: 10.1111/eva.13529. This project also received funding from the Leverhulme Trust grant number RPG-2014-252
description: {"references": ["Dimitriu et al (2023). Selecting for infectivity across metapopulations can increase virulence in the social microbe Bacillus thuringiensis"]}
DOI: 10.5281/zenodo.7503994
title: Selecting for infectivity across metapopulations can increase virulence in the social microbe Bacillus thuringiensis:data set.

description: Passage experiments that sequentially infect hosts with parasites have long been used to manipulate virulence. However, for many invertebrate pathogens passage has been applied naively without a full theoretical understanding of how best to select for increased virulence and this has led to very mixed results. Understanding the evolution of virulence is complex because selection on parasites occurs across multiple spatial scales with potentially different conflicts operating on parasites with different life-histories. For example, in social microbes, strong selection on replication rate within hosts can lead to cheating and loss of virulence, because investment in public goods virulence reduces replication rate. In this study<em> </em>we tested how varying mutation supply and selection for infectivity or pathogen yield (population size in hosts) affected evolution of virulence against resistant hosts in the specialist insect pathogen <em>Bacillus thuringiensis</em>, aiming to optimize methods for strain improvement against a difficult to kill insect target. We show that selection for infectivity using competition between sub-populations in a metapopulation prevents social cheating, acts to retain key virulence plasmids and facilitates increased virulence. Increased virulence was associated with reduced efficiency of sporulation, and possible loss of function in putative regulatory genes but not with altered expression of the primary virulence factors. Selection in a metapopulation provides a broadly applicable tool for improving the efficacy of biocontrol agents. Moreover, a structured host population can facilitate artificial selection on infectivity, while selection on life history traits such as faster replication or larger population sizes can reduce virulence in social microbes.
description: This dataset consists of raw experimental data (bioassays, toxin profiles, spore producitivty, mutation analysis) pertaining to a paper accepted in Evolutionary Applications doi: 10.1111/eva.13529. This project also received funding from the Leverhulme Trust grant number RPG-2014-252
description: {"references": ["Dimitriu et al (2023). Selecting for infectivity across metapopulations can increase virulence in the social microbe Bacillus thuringiensis"]}
DOI: 10.15139/s3/ur20aa
title: Replication Data for: Do Reserved Seats Work? Evidence from Tribal Representatives in Maine

description: Do reserved seats yield substantive representation for traditionally marginalized groups? To answer that question, we turn to a remarkable and little-studied institution: reserved seats for Native American tribes in the Maine House of Representatives. Tribal representatives, who can participate in debate but lack a vote, have represented tribes in Maine's House of Representatives since statehood in 1820. We take advantage of a 1995 rule change that allowed tribal representatives to initiate legislation, and an original dataset of pro-tribal bills, to estimate the effect of reserved seats on the production of pro-tribal bills. We find that once tribal representatives were allowed to write bills, they produced over half of all tribal-related legislation during a 36-year period. Legislators with tribal constituents sponsored fewer relevant bills after the reform but continued to cosponsor pro-tribal legislation. Although our results show tribal representatives contribute to the legislative process, we caution that reserved seats are not a panacea for improving Indigenous representation.
DOI: 10.5517/ccdc.csd.cc2cyw3b
title: CCDC 2203452: Experimental Crystal Structure Determination

description: Related Article: Wenxiu Lv, Yanchao Wang, Maosheng Li, Xianhong Wang, Youhua Tao|2022|J.Am.Chem.Soc.|144|23622|doi:10.1021/jacs.2c10950
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.cc2d3f87
title: CCDC 2207828: Experimental Crystal Structure Determination

description: Related Article: Emil M. H. Larsen, Niels A. Bonde, Høgni Weihe, Jacques Ollivier, Tom Vosch, Thomas Lohmiller, Karsten Holldack, Alexander Schnegg, Mauro Perfetti, Jesper Bendix|2023|Chemical Science|14|266|doi:10.1039/D2SC05201F
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.cc2d3f98
title: CCDC 2207829: Experimental Crystal Structure Determination

description: Related Article: Emil M. H. Larsen, Niels A. Bonde, Høgni Weihe, Jacques Ollivier, Tom Vosch, Thomas Lohmiller, Karsten Holldack, Alexander Schnegg, Mauro Perfetti, Jesper Bendix|2023|Chemical Science|14|266|doi:10.1039/D2SC05201F
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.cc2d3fb9
title: CCDC 2207830: Experimental Crystal Structure Determination

description: Related Article: Emil M. H. Larsen, Niels A. Bonde, Høgni Weihe, Jacques Ollivier, Tom Vosch, Thomas Lohmiller, Karsten Holldack, Alexander Schnegg, Mauro Perfetti, Jesper Bendix|2023|Chemical Science|14|266|doi:10.1039/D2SC05201F
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.cc2d3fcb
title: CCDC 2207831: Experimental Crystal Structure Determination

description: Related Article: Emil M. H. Larsen, Niels A. Bonde, Høgni Weihe, Jacques Ollivier, Tom Vosch, Thomas Lohmiller, Karsten Holldack, Alexander Schnegg, Mauro Perfetti, Jesper Bendix|2023|Chemical Science|14|266|doi:10.1039/D2SC05201F
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.cc2d3fdc
title: CCDC 2207832: Experimental Crystal Structure Determination

description: Related Article: Emil M. H. Larsen, Niels A. Bonde, Høgni Weihe, Jacques Ollivier, Tom Vosch, Thomas Lohmiller, Karsten Holldack, Alexander Schnegg, Mauro Perfetti, Jesper Bendix|2023|Chemical Science|14|266|doi:10.1039/D2SC05201F
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.cc2d3ffd
title: CCDC 2207833: Experimental Crystal Structure Determination

description: Related Article: Emil M. H. Larsen, Niels A. Bonde, Høgni Weihe, Jacques Ollivier, Tom Vosch, Thomas Lohmiller, Karsten Holldack, Alexander Schnegg, Mauro Perfetti, Jesper Bendix|2023|Chemical Science|14|266|doi:10.1039/D2SC05201F
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.cc2d3hpq
title: CCDC 2207903: Experimental Crystal Structure Determination

description: Related Article: Lingheng Kong, Yun Zou, Xiao-Xi Li, Xue-Peng Zhang, Xingwei Li|2022|Chemical Science|14|317|doi:10.1039/D2SC05310A
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.cc2d3hrs
title: CCDC 2207905: Experimental Crystal Structure Determination

description: Related Article: Lingheng Kong, Yun Zou, Xiao-Xi Li, Xue-Peng Zhang, Xingwei Li|2022|Chemical Science|14|317|doi:10.1039/D2SC05310A
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.cc2d5kkq
title: CCDC 2209883: Experimental Crystal Structure Determination

description: Related Article: Tristan Schuh, Olga Kataeva, Hans-Joachim Knölker|2022|Chemical Science|14|257|doi:10.1039/D2SC06083C
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.cc2d5k6c
title: CCDC 2209872: Experimental Crystal Structure Determination

description: Related Article: Tristan Schuh, Olga Kataeva, Hans-Joachim Knölker|2022|Chemical Science|14|257|doi:10.1039/D2SC06083C
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.cc2d7tvb
title: CCDC 2212062: Experimental Crystal Structure Determination

description: Related Article: Angeliki Giannoulis, Katrin Ackermann, Alexey Bogdanov, David B. Cordes, Catherine Higgins, Joshua Ward, Alexandra M. Z. Slawin, James E. Taylor, Bela E. Bode|2022|Org.Biomol.Chem.|21|375|doi:10.1039/D2OB01863B
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.cc2d7twc
title: CCDC 2212063: Experimental Crystal Structure Determination

description: Related Article: Angeliki Giannoulis, Katrin Ackermann, Alexey Bogdanov, David B. Cordes, Catherine Higgins, Joshua Ward, Alexandra M. Z. Slawin, James E. Taylor, Bela E. Bode|2022|Org.Biomol.Chem.|21|375|doi:10.1039/D2OB01863B
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.cc2d7txd
title: CCDC 2212064: Experimental Crystal Structure Determination

description: Related Article: Angeliki Giannoulis, Katrin Ackermann, Alexey Bogdanov, David B. Cordes, Catherine Higgins, Joshua Ward, Alexandra M. Z. Slawin, James E. Taylor, Bela E. Bode|2022|Org.Biomol.Chem.|21|375|doi:10.1039/D2OB01863B
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.cc2d7tyf
title: CCDC 2212065: Experimental Crystal Structure Determination

description: Related Article: Angeliki Giannoulis, Katrin Ackermann, Alexey Bogdanov, David B. Cordes, Catherine Higgins, Joshua Ward, Alexandra M. Z. Slawin, James E. Taylor, Bela E. Bode|2022|Org.Biomol.Chem.|21|375|doi:10.1039/D2OB01863B
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.cc2d7tzg
title: CCDC 2212066: Experimental Crystal Structure Determination

description: Related Article: Angeliki Giannoulis, Katrin Ackermann, Alexey Bogdanov, David B. Cordes, Catherine Higgins, Joshua Ward, Alexandra M. Z. Slawin, James E. Taylor, Bela E. Bode|2022|Org.Biomol.Chem.|21|375|doi:10.1039/D2OB01863B
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: 10.6084/m9.figshare.21816177
title: Anemia_1

description: Pretest posttest study
DOI: 10.6084/m9.figshare.21816177.v1
title: Anemia_1

description: Pretest posttest study
DOI: 10.6084/m9.figshare.21816186
title: Anemia_2

description: pretest posttest intervention
DOI: 10.6084/m9.figshare.21816186.v1
title: Anemia_2

description: pretest posttest intervention
DOI: 10.3886/e112415v1-131601
title: Replication data for: Search Dynamics in Consumer Choice under Time Pressure: An Eye-Tracking Study

description: We study decisions that involve choosing between different numbers of options under time pressure using eye-tracking to monitor the search process of the subjects. We find that subjects are quite adept at optimizing within the set of items that they see, that the initial search process is random in value, that subjects use a stopping rule to terminate the search process that combines features of optimal search and satisficing, and that subjects search more often in certain focal regions of the display, which leads to choice biases. (JEL C91, D12, M31)
DOI: 10.5281/zenodo.7117711
title: Data supporting: Microscopic observation of two-level systems in a metallic glass model

description: Dataset of double well potentials sampled from energy landscape exploration of a ternary Lennard-Jones model supporting: "Microscopic observation of two-level systems in a metallic glass model" Thermalised configurations of the ternary Lennard-Jones model are given in the archive (configs.zip) of 1200 atoms at \(T_f\) 0.488, 0.509, 0.558 and 0.617 in the lammps (https://www.lammps.org/) data file format (https://docs.lammps.org/read_data.html). The two datasets each provided as (.zip) archives named dataset1.zip and dataset2.zip Datafiles (.csv) are named nebdf_{:3.3f}_{:05d}.csv where the float is \(T_f\) and the integer is \(\tilde{m}\). columns of each .csv file are: 'transitions', 'forward barriers', 'reverse barriers', 'asymmetry', 'barrier', 'euclidean distance', 'distance along string', 'n_intermediates', 'deltas', 'splittings', 'delta_zeroes', 'gammas', 'PR', 'glass', 'omegas1', 'omegas2', 'omegasts', 'Index 1', 'Index 2', 'Frequency 1&gt;2', 'Frequency 2&gt;1', 'e_1', 'e_2', 'dc', 'Tprep' 'glass' is the index of the glassy metabasin sampled omegas1', 'omegas2', 'omegasts' are the curvatures of the minimum energy oaths near the first minimum, second minimum and transition state 'e_1', 'e_2' are the energy per atom of the two glass minima 'dc' is the typical particle displacement corresponding to \(\sqrt{\dfrac{d^2}{PR}}\)
DOI: 10.5281/zenodo.7117710
title: Data supporting: Microscopic observation of two-level systems in a metallic glass model

description: Dataset of double well potentials sampled from energy landscape exploration of a ternary Lennard-Jones model supporting: "Microscopic observation of two-level systems in a metallic glass model" Thermalised configurations of the ternary Lennard-Jones model are given in the archive (configs.zip) of 1200 atoms at \(T_f\) 0.488, 0.509, 0.558 and 0.617 in the lammps (https://www.lammps.org/) data file format (https://docs.lammps.org/read_data.html). The two datasets each provided as (.zip) archives named dataset1.zip and dataset2.zip Datafiles (.csv) are named nebdf_{:3.3f}_{:05d}.csv where the float is \(T_f\) and the integer is \(\tilde{m}\). columns of each .csv file are: 'transitions', 'forward barriers', 'reverse barriers', 'asymmetry', 'barrier', 'euclidean distance', 'distance along string', 'n_intermediates', 'deltas', 'splittings', 'delta_zeroes', 'gammas', 'PR', 'glass', 'omegas1', 'omegas2', 'omegasts', 'Index 1', 'Index 2', 'Frequency 1&gt;2', 'Frequency 2&gt;1', 'e_1', 'e_2', 'dc', 'Tprep' 'glass' is the index of the glassy metabasin sampled omegas1', 'omegas2', 'omegasts' are the curvatures of the minimum energy oaths near the first minimum, second minimum and transition state 'e_1', 'e_2' are the energy per atom of the two glass minima 'dc' is the typical particle displacement corresponding to \(\sqrt{\dfrac{d^2}{PR}}\)
DOI: 10.5281/zenodo.7443696
title: 4wk_AAV_SNpc

description: 4 week flow cytometry from C57Bl/6 mice transduced with AAV2-SYN or AAV2-GFP.
DOI: 10.5281/zenodo.7443697
title: 4wk_AAV_SNpc

description: 4 week flow cytometry from C57Bl/6 mice transduced with AAV2-SYN or AAV2-GFP.
DOI: 10.5281/zenodo.7471372
title: Telegraf evaluation for AI-SPRINT Monitoring Subsystem

description: Performance impact evaluation of the AI‑SPRINT Monitoring Subsystem on a system deployment running the AI‑SPRINT Framework with AI applications
description: This publication is alternatively available at: https://gist.github.com/msoczewka/2ca754f4287005daeba60fbe4caee506.
description: {"references": ["Micha\u0142 Soczewka. (2022). D3.4 - Final release and evaluation of the monitoring system."]}
DOI: 10.5281/zenodo.7471371
title: Telegraf evaluation for AI-SPRINT Monitoring Subsystem

description: Performance impact evaluation of the AI‑SPRINT Monitoring Subsystem on a system deployment running the AI‑SPRINT Framework with AI applications
description: This publication is alternatively available at: https://gist.github.com/msoczewka/2ca754f4287005daeba60fbe4caee506.
description: {"references": ["Micha\u0142 Soczewka. (2022). D3.4 - Final release and evaluation of the monitoring system."]}
DOI: 10.48420/21740702
title: Research data for "Determination of molecular hydration in solution via changes in magnetic anisotropy"

description: Included here are the raw electron paramagnetic resonance data sets, the density-functional theory-computed geometries and the complete active space self-consistent field-computed electronic structures for the complexes [Er(1,4,7,10-tetraazacyclododecane-1-5-((<em>tert</em>-butyl)pyridin-2-yl)methyl-4,7,10-triacetate)] and [Er(1,4,7,10-tetraazacyclododecane-1-5-((<em>tert</em>-butyl)pyridin-2-yl)methyl-4,7,10-tri(methylphosphinate))]. These data allow us to identify the solution hydration behaviour of the two complexes to show that the first complex incorporates a water molecule in the first coordination sphere, while the second does not.
DOI: 10.48420/21740702.v1
title: Research data for "Determination of molecular hydration in solution via changes in magnetic anisotropy"

description: Included here are the raw electron paramagnetic resonance data sets, the density-functional theory-computed geometries and the complete active space self-consistent field-computed electronic structures for the complexes [Er(1,4,7,10-tetraazacyclododecane-1-5-((<em>tert</em>-butyl)pyridin-2-yl)methyl-4,7,10-triacetate)] and [Er(1,4,7,10-tetraazacyclododecane-1-5-((<em>tert</em>-butyl)pyridin-2-yl)methyl-4,7,10-tri(methylphosphinate))]. These data allow us to identify the solution hydration behaviour of the two complexes to show that the first complex incorporates a water molecule in the first coordination sphere, while the second does not.
DOI: 10.34740/kaggle/dsv/4806075
title: 2023 House Speaker Vote Tracker
DOI: 10.17036/researchdata.aston.ac.uk.00000590
title: Data underpinning article: 'Enhancing sparse representation of color images by cross channel transformation'