cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0976962.09fu
title: SH0976962.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.26188/13635186.v1
title: related tumour simulation

description: Simulated dataset of related tumour samples.<br><br>Reads were firsts simulated with ART then aligned with BWA and variants were spiked in with Bamsurgeon.<br><br>Truth variants were split into somatic (simulating a cancer like allele frequency distribution) and germline (actual sample germline variants at a 0.5 allele frequency)<br><br>
DOI: 10.26188/13635186
title: related tumour simulation

description: Simulated dataset of related tumour samples.<br><br>Reads were firsts simulated with ART then aligned with BWA and variants were spiked in with Bamsurgeon.<br><br>Truth variants were split into somatic (simulating a cancer like allele frequency distribution) and germline (actual sample germline variants at a 0.5 allele frequency)<br><br>
DOI: 10.26188/13635187.v1
title: Called variants of simulated dataset

description: These are the variant calls made by Mutect2, Strelka2 and FreeBayes both in tumour normal pairwise analysis as well as with the newly proposed joint analysis.<br>The dataset these were called on can be found on doi:<br>which also contains the truth set of variants contained in the alignment files.
DOI: 10.26188/13635187
title: Called variants of simulated dataset

description: These are the variant calls made by Mutect2, Strelka2 and FreeBayes both in tumour normal pairwise analysis as well as with the newly proposed joint analysis.<br>The dataset these were called on can be found on doi:<br>which also contains the truth set of variants contained in the alignment files.
DOI: 10.26188/14122688.v1
title: Barrow et al. data

description: Golden perch growth, otolith microchemistry, movement, and biological data
DOI: 10.26188/14122688
title: Barrow et al. data

description: Golden perch growth, otolith microchemistry, movement, and biological data
DOI: 10.26188/14401400.v2
title: Agent System Mining: Vision, Benefits, and Challenges - Order delivery example event log

description: This dataset contains synthetic event data of a business process used in the paper "Agent System Mining: Vision, Benefits, and Challenges" for the motivating example.
DOI: 10.26188/14401400.v1
title: Order delivery example event log

description: This dataset contains synthetic event data of a business process.
DOI: 10.26188/14401400
title: Agent System Mining: Vision, Benefits, and Challenges - Order delivery example event log

description: This dataset contains synthetic event data of a business process used in the paper "Agent System Mining: Vision, Benefits, and Challenges" for the motivating example.
DOI: 10.26188/14540004.v1
title: Neural mediators of subjective and autonomic responding during threat learning and regulation

description: Within the zipped attachment are the results from the whole-brain multilevel mediation analyses reported in “<b>­­Neural mediators of subjective and autonomic responding during threat learning and regulation</b>” (doi:10.1016/j.neuroimage.2021.118643). We performed six mediation analyses to identify neural mediators of subjective changes (anxious arousal and valence) and SCR during threat learning (models 1-3); and similarly, during threat reversal (models 4-6). See manuscript for the specification of model parameters <br>Each folder contains the results from running the Canlab ‘publish_mediation_report.m’ which generates an html file per run. This report includes detailed results tables at both FDR q&lt;0.05 and uncorrected thresholds, as well as figures of each cluster and montages of each path effect. A more detailed montage of each path effect has been generated using the ‘full_montages.m’ script, with colours that match the manuscript, and has been saved as a JPEG with a corresponding figure legend for comprehensiveness.<br>The data required to run this analysis has also been provided. Subjective reports and SCR data for corresponding participants can be found in the outcome_variable.csv file, and the SPM con files for each participant are also included.<br>
DOI: 10.26188/14540004
title: Neural mediators of subjective and autonomic responding during threat learning and regulation

description: Within the zipped attachment are the results from the whole-brain multilevel mediation analyses reported in “<b>­­Neural mediators of subjective and autonomic responding during threat learning and regulation</b>” (doi:10.1016/j.neuroimage.2021.118643). We performed six mediation analyses to identify neural mediators of subjective changes (anxious arousal and valence) and SCR during threat learning (models 1-3); and similarly, during threat reversal (models 4-6). See manuscript for the specification of model parameters <br>Each folder contains the results from running the Canlab ‘publish_mediation_report.m’ which generates an html file per run. This report includes detailed results tables at both FDR q&lt;0.05 and uncorrected thresholds, as well as figures of each cluster and montages of each path effect. A more detailed montage of each path effect has been generated using the ‘full_montages.m’ script, with colours that match the manuscript, and has been saved as a JPEG with a corresponding figure legend for comprehensiveness.<br>The data required to run this analysis has also been provided. Subjective reports and SCR data for corresponding participants can be found in the outcome_variable.csv file, and the SPM con files for each participant are also included.<br>
DOI: 10.26188/14552562.v1
title: Data.xls

description: The multivariate threshold regression and S&P500 data sets include data sourced from Datastream. To access this data you will need to obtain approval from Datastream.<br>The Option prices data set has been sourced from Optionmetrics. Access to this data set will also require approval from the data provider.<br>
DOI: 10.26188/14552562
title: Data.xls

description: The multivariate threshold regression and S&P500 data sets include data sourced from Datastream. To access this data you will need to obtain approval from Datastream.<br>The Option prices data set has been sourced from Optionmetrics. Access to this data set will also require approval from the data provider.<br>
DOI: 10.26188/14555937.v1
title: "Characterisation of putative lactate synthetic pathways of Coxiella burnetii" data

description: Dataset pertaining to paper "Characterisation of putative lactate synthetic pathways of <i>Coxiella burnetii"</i>
DOI: 10.26188/14555937
title: "Characterisation of putative lactate synthetic pathways of Coxiella burnetii" data

description: Dataset pertaining to paper "Characterisation of putative lactate synthetic pathways of <i>Coxiella burnetii"</i>
DOI: 10.5281/zenodo.6631333
title: Wing Markers from Motion Capture of Harris Hawk Flight

description: Data from wing markers during flight by a Harris' hawk (Toothless) flying between two perches. Perches are 5m or 12m apart. Three markers per wing (two on handwing, one on arm wing) and two on the tail. Contents: <strong>XYZ</strong> -- The wing and tail markers using the room coordinate system, where the origin is the perch. The floor is 1.25m below the perch. <strong>backpack_XYZ</strong> -- the backpack (centre of the bird) position using the room coordinate system. One backpack position per frame. <strong>body_pitch</strong> -- the body pitch angle of the hawk measured from a vector drawn from the backpack to the tailpack along the body of the hawk. In degrees. <strong>xyz</strong> -- The wing and tail markers with backpack_XYZ as the origin. <strong>rot_xyz</strong> -- The wing and tail markers with backpack_XYZ as the origin and rotated such that the body pitch is removed. <strong>time</strong> -- 0 estimated from the hawk's starting jump. <strong>frame</strong> -- frame number from the original motion capture data set <strong>MarkerName</strong> -- the label for the marker. "Wingtip" and "primary" are on the hand wing, "secondary" is along the bottom of the arm wing. "Tailtip" on the outermost feathers of the tail. Also left and right are described. <strong>HorzDistance</strong> -- horizontal distance to the perch. <strong>FlightPhase</strong> -- estimated phase of flight based on horizontal distance to the perch. High amplitude flapping Medium amplitude flapping Low amplitude flapping Gliding/unpowered flight <strong>seqID, frameID, markerID </strong>-- These IDs are just used to subset data. <strong>sampleRate</strong> -- framerate of the camera
DOI: 10.5281/zenodo.6631332
title: Wing Markers from Motion Capture of Harris Hawk Flight

description: Data from wing markers during flight by a Harris' hawk (Toothless) flying between two perches. Perches are 5m or 12m apart. Three markers per wing (two on handwing, one on arm wing) and two on the tail. Contents: <strong>XYZ</strong> -- The wing and tail markers using the room coordinate system, where the origin is the perch. The floor is 1.25m below the perch. <strong>backpack_XYZ</strong> -- the backpack (centre of the bird) position using the room coordinate system. One backpack position per frame. <strong>body_pitch</strong> -- the body pitch angle of the hawk measured from a vector drawn from the backpack to the tailpack along the body of the hawk. In degrees. <strong>xyz</strong> -- The wing and tail markers with backpack_XYZ as the origin. <strong>rot_xyz</strong> -- The wing and tail markers with backpack_XYZ as the origin and rotated such that the body pitch is removed. <strong>time</strong> -- 0 estimated from the hawk's starting jump. <strong>frame</strong> -- frame number from the original motion capture data set <strong>MarkerName</strong> -- the label for the marker. "Wingtip" and "primary" are on the hand wing, "secondary" is along the bottom of the arm wing. "Tailtip" on the outermost feathers of the tail. Also left and right are described. <strong>HorzDistance</strong> -- horizontal distance to the perch. <strong>FlightPhase</strong> -- estimated phase of flight based on horizontal distance to the perch. High amplitude flapping Medium amplitude flapping Low amplitude flapping Gliding/unpowered flight <strong>seqID, frameID, markerID </strong>-- These IDs are just used to subset data. <strong>sampleRate</strong> -- framerate of the camera
DOI: 10.26188/14708772.v1
title: Agent System Mining Positioning: identified related literature

description: This resource is a bib file containing 149 articles relevant to the topic of Agent System Mining (ASM). These papers have been analyzed as part of the literature review for the paper "Agent System Mining: Vision, Benefits, and Challenges".
DOI: 10.26188/14708772.v3
title: Agent System Mining: Vision, Benefits, and Challenges - related work bibliography

description: This resource is a bib file containing a list of 149 papers related to the topic of Agent System Mining (ASM). These papers have been analyzed as part of the literature review for the paper "Agent System Mining: Vision, Benefits, and Challenges".
DOI: 10.26188/14708772.v2
title: ASM positioning: related work

description: This resource is a bib file containing 149 articles relevant to the topic of Agent System Mining (ASM). These papers have been analyzed as part of the literature review for the paper "Agent System Mining: Vision, Benefits, and Challenges".
DOI: 10.26188/14708772
title: Agent System Mining: Vision, Benefits, and Challenges - related work bibliography

description: This resource is a bib file containing a list of 149 papers related to the topic of Agent System Mining (ASM). These papers have been analyzed as part of the literature review for the paper "Agent System Mining: Vision, Benefits, and Challenges".
DOI: 10.26188/14782299.v1
title: virusbreakenddb_20210401.tar.gz

description: VIRUSBreakend database generated from NCBI 01 Apr 2021
DOI: 10.26188/14782299
title: virusbreakenddb_20210401.tar.gz

description: VIRUSBreakend database generated from NCBI 01 Apr 2021
DOI: 10.26188/14822289.v1
title: RNA-seq derived chimpanzee genotypes

description: Unfiltered genotype data from Shukla et al, 2021, "Genetic diversity in chimpanzee transcriptomics does not represent wild populations"<br><br>Metadata information is available as Supp tables 1 and 2 of Shukla et al. <br>
DOI: 10.26188/14822289
title: RNA-seq derived chimpanzee genotypes

description: Unfiltered genotype data from Shukla et al, 2021, "Genetic diversity in chimpanzee transcriptomics does not represent wild populations"<br><br>Metadata information is available as Supp tables 1 and 2 of Shukla et al. <br>
DOI: 10.26188/14880330.v1
title: Data for 'U.S. Copyright Termination Notices 1977-2020: Introducing New Datasets' (accepted for publication in the Journal of Empirical Legal Studies)

description: These are the two datasets accompanying the paper 'U.S. Copyright Termination Notices 1977-2020: Introducing New Datasets', accepted for publication in the <i>Journal of Empirical Legal Studies</i>. <br><b>titles_203</b> is a set of all titles subject to termination notices under § 203 of the U.S. Copyright Act (which relates to post-1978 works). It also includes notices contesting those termination notices (filed by record labels, publishers, etc). and notices withdrawing those termination notices. <br><b>titles_304</b> is a set of all titles subject to termination notices under § 203 of the U.S. Copyright Act (which relates to post-1978 works). It also includes notices contesting those termination notices (filed by record labels, publishers, etc). and notices withdrawing those termination notices. <br>
DOI: 10.26188/14880330.v3
title: Data for 'U.S. Copyright Termination Notices 1977-2020: Introducing New Datasets'

description: These are the two datasets accompanying the paper Yuvaraj J., Giblin, R, Russo-Batterham, D, and Grant, G, 'U.S. Copyright Termination Notices 1977-2020: Introducing New Datasets' (forthcoming in the <i>Journal of Empirical Legal Studies, </i>2021). <br><b>titles_203</b> is a set of all titles subject to termination notices under § 203 of the U.S. Copyright Act (which relates to post-1978 grants of copyright). It also includes notices contesting those termination notices (filed by record labels, publishers, etc). and notices withdrawing those termination notices. <br><b>titles_304</b> is a set of all titles subject to termination notices under § 304 of the U.S. Copyright Act (which relates to pre-1978 grants of copyright). It also includes notices contesting those termination notices (filed by record labels, publishers, etc). and notices withdrawing those termination notices.<br>The work was supported by an Australian Government Research Training Program (RTP) Scholarship, the Monash University Graduate Excellence Scholarship, and a Monash University Faculty of Law Top-Up Scholarship, funded by an ARC Future Fellowship provided to Associate Professor Rebecca Giblin (FT170100011).<br>
DOI: 10.26188/14880330.v2
title: Data for 'U.S. Copyright Termination Notices 1977-2020: Introducing New Datasets'

description: These are the two datasets accompanying the paper 'U.S. Copyright Termination Notices 1977-2020: Introducing New Datasets', accepted for publication in the <i>Journal of Empirical Legal Studies</i>. <br><b>titles_203</b> is a set of all titles subject to termination notices under § 203 of the U.S. Copyright Act (which relates to post-1978 grants of copyright). It also includes notices contesting those termination notices (filed by record labels, publishers, etc). and notices withdrawing those termination notices. <br><b>titles_304</b> is a set of all titles subject to termination notices under § 304 of the U.S. Copyright Act (which relates to pre-1978 grants of copyright). It also includes notices contesting those termination notices (filed by record labels, publishers, etc). and notices withdrawing those termination notices.<br>The work was supported by an Australian Government Research Training Program (RTP) Scholarship, the Monash University Graduate Excellence Scholarship, and a Monash University Faculty of Law Top-Up Scholarship, funded by an ARC Future Fellowship provided to Associate Professor Rebecca Giblin (FT170100011).<br>
DOI: 10.26188/14880330
title: Data for 'U.S. Copyright Termination Notices 1977-2020: Introducing New Datasets'

description: These are the two datasets accompanying the paper Yuvaraj J., Giblin, R, Russo-Batterham, D, and Grant, G, 'U.S. Copyright Termination Notices 1977-2020: Introducing New Datasets' (forthcoming in the <i>Journal of Empirical Legal Studies, </i>2021). <br><b>titles_203</b> is a set of all titles subject to termination notices under § 203 of the U.S. Copyright Act (which relates to post-1978 grants of copyright). It also includes notices contesting those termination notices (filed by record labels, publishers, etc). and notices withdrawing those termination notices. <br><b>titles_304</b> is a set of all titles subject to termination notices under § 304 of the U.S. Copyright Act (which relates to pre-1978 grants of copyright). It also includes notices contesting those termination notices (filed by record labels, publishers, etc). and notices withdrawing those termination notices.<br>The work was supported by an Australian Government Research Training Program (RTP) Scholarship, the Monash University Graduate Excellence Scholarship, and a Monash University Faculty of Law Top-Up Scholarship, funded by an ARC Future Fellowship provided to Associate Professor Rebecca Giblin (FT170100011).<br>
DOI: 10.6084/m9.figshare.20051516
title: Table S4.3 and Table S4.4

description: <em>Continent, ecoregions division and land cover category for each of the 881 defined spatial units.</em>
DOI: 10.6084/m9.figshare.20051516.v1
title: Table S4.3 and Table S4.4

description: <em>Continent, ecoregions division and land cover category for each of the 881 defined spatial units.</em>
DOI: 10.26188/14912964.v1
title: Colorectal tumour LA-ICP-MS images

description: Complete raw data and processed images for Paul et al (Chem Sci, 2021)
DOI: 10.26188/14912964
title: Colorectal tumour LA-ICP-MS images

description: Complete raw data and processed images for Paul et al (Chem Sci, 2021)
DOI: 10.26188/14920221.v1
title: PhD Thesis Data

description: Supporting data for PhD thesis. File names are preserved from the originals, and folder structure is organised logically.<br>
DOI: 10.26188/14920221
title: PhD Thesis Data

description: Supporting data for PhD thesis. File names are preserved from the originals, and folder structure is organised logically.<br>
DOI: 10.5517/ccdc.csd.cc2725cw
title: CCDC 2057667: Experimental Crystal Structure Determination

description: Related Article: Jun-Xia Li, Yu-Qing Xia, Lin-Mei Cheng, Xun Feng|2022|J.Solid State Chem.|313|123271|doi:10.1016/j.jssc.2022.123271
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.cc297dqp
title: CCDC 2122282: Experimental Crystal Structure Determination

description: Related Article: Seamus D. Jones, Howie Nguyen, Peter M. Richardson, Yan-Qiao Chen, Kira E. Wyckoff, Craig J. Hawker, Raphaёle J. Clément, Glenn H. Fredrickson, Rachel A. Segalman|2022|CSD Communication|||
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.cc297drq
title: CCDC 2122283: Experimental Crystal Structure Determination

description: Related Article: Seamus D. Jones, Howie Nguyen, Peter M. Richardson, Yan-Qiao Chen, Kira E. Wyckoff, Craig J. Hawker, Raphaёle J. Clément, Glenn H. Fredrickson, Rachel A. Segalman|2022|CSD Communication|||
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.ccw3mdz
title: CCDC 807841: Experimental Crystal Structure Determination

description: Related Article: Ruchi Gaur|2021|CSD Communication|||
description: Related Article: Ruchi Gaur, Sourav Roy, Parashuram Kallem, Fawzi Banat|2022|J.Mol.Struct.|1265|133400|doi:10.1016/j.molstruc.2022.133400
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.cc2bb775
title: CCDC 2154786: Experimental Crystal Structure Determination

description: Related Article: Cedric Spitz, Morgane Bertrand, Vincent Remusat, Thierry Terme, and Patrice Vanelle|2022|CSD Communication|||
description: Related Article: Cédric Spitz, Morgane Bertrand, Vincent Remusat, Thierry Terme, Patrice Vanelle|2022|J.Org.Chem.|87|4483|doi:10.1021/acs.joc.2c00074
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.cc2bc8rr
title: CCDC 2155794: Experimental Crystal Structure Determination

description: Related Article: Deshun-Zhou|2022|CSD Communication|||
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.cc27336p
title: CCDC 2058561: Experimental Crystal Structure Determination

description: Related Article: Juan Wei|2022|CSD Communication|||
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.