cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21954/ou.rd.20424714.v1
title: Digital Detectives: Websleuthing Reduces Eyewitness Identification Accuracy in Police Lineups (dataset).xlsx

description: This dataset was used for the analysis in the article Digital Detectives: Websleuthing Reduces Eyewitness Identification Accuracy in Police Lineups. <br> The article explores whether searching for a culprit on social media affects eyewitnesses' subsequent identification accuracy in a police lineup. <br> Results showed a significant association between social media exposure and lineup accuracy for the Target Present lineup (30% more of the participants who saw the lookalike on social media failed to positively identify the culprit than participants in the other conditions), but for the Target Absent lineup (which also included the lookalike) there was no significant association with lineup identification accuracy. <br> The results suggest that if an eyewitness sees a lookalike (where they are expecting to see the culprit) when conducting a self-directed search on social media, they are less likely to subsequently identify the culprit in the formal ID procedure. <br> The dataset includes demographics, response type and accuracy, and confidence ratings data for each of the participant conditions.
DOI: 10.21954/ou.rd.20424714
title: Digital Detectives: Websleuthing Reduces Eyewitness Identification Accuracy in Police Lineups (dataset).xlsx

description: This dataset was used for the analysis in the article Digital Detectives: Websleuthing Reduces Eyewitness Identification Accuracy in Police Lineups. <br> The article explores whether searching for a culprit on social media affects eyewitnesses' subsequent identification accuracy in a police lineup. <br> Results showed a significant association between social media exposure and lineup accuracy for the Target Present lineup (30% more of the participants who saw the lookalike on social media failed to positively identify the culprit than participants in the other conditions), but for the Target Absent lineup (which also included the lookalike) there was no significant association with lineup identification accuracy. <br> The results suggest that if an eyewitness sees a lookalike (where they are expecting to see the culprit) when conducting a self-directed search on social media, they are less likely to subsequently identify the culprit in the formal ID procedure. <br> The dataset includes demographics, response type and accuracy, and confidence ratings data for each of the participant conditions.
DOI: 10.7284/124091
title: Singlebeam Echosounder data collected during research cruise OC1603C using a Knudsen 3260 instrument system onboard the platform RV Oceanus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/124092
title: Singlebeam Echosounder data collected during research cruise OC1603C using a Knudsen 3260 instrument system onboard the platform RV Oceanus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.5517/ccx2q5v
title: CCDC 836757: Experimental Crystal Structure Determination

description: Related Article: M.Nieger, E.Niecke, P.Becker|2011|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.cc1nysds
title: CCDC 1547966: Experimental Crystal Structure Determination

description: Related Article: Agathe Filatre-Furcate, Frédéric Barrière, Thierry Roisnel, Olivier Jeannin, Dominique Lorcy|2018|Inorg.Chim.Acta|469|255|doi:10.1016/j.ica.2017.09.050
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.cc1nysft
title: CCDC 1547967: Experimental Crystal Structure Determination

description: Related Article: Agathe Filatre-Furcate, Frédéric Barrière, Thierry Roisnel, Olivier Jeannin, Dominique Lorcy|2018|Inorg.Chim.Acta|469|255|doi:10.1016/j.ica.2017.09.050
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.cc1zbcd2
title: CCDC 1827214: Experimental Crystal Structure Determination

description: Related Article: Eleni Sioriki, Ronan Lordan, Fady Nahra, Kristof van Hecke, Ioannis Zabetakis, Steven P. Nolan|2018|ChemMedChem|13|2484|doi:10.1002/cmdc.201800601
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.cc1zbcf3
title: CCDC 1827215: Experimental Crystal Structure Determination

description: Related Article: Eleni Sioriki, Ronan Lordan, Fady Nahra, Kristof van Hecke, Ioannis Zabetakis, Steven P. Nolan|2018|ChemMedChem|13|2484|doi:10.1002/cmdc.201800601
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.cc1zbcg4
title: CCDC 1827216: Experimental Crystal Structure Determination

description: Related Article: Eleni Sioriki, Ronan Lordan, Fady Nahra, Kristof van Hecke, Ioannis Zabetakis, Steven P. Nolan|2018|ChemMedChem|13|2484|doi:10.1002/cmdc.201800601
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.cc20mf8c
title: CCDC 1865712: Experimental Crystal Structure Determination

description: Related Article: Yoshiaki Nakao, Shogo Okumura, Tomohiro Ebara, Kazuhiko Semba|2019|Heterocycles|99|1128|doi:10.3987/com-18-s(f)84
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.cc22cvmy
title: CCDC 1918020: Experimental Crystal Structure Determination

description: Related Article: Alejandro Cervantes-Reyes, Frank Rominger, Matthias Rudolph, A. Stephen K. Hashmi|2019|Chem.-Eur.J.|25|11745|doi:10.1002/chem.201902458
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.cc22cvp0
title: CCDC 1918022: Experimental Crystal Structure Determination

description: Related Article: Alejandro Cervantes-Reyes, Frank Rominger, Matthias Rudolph, A. Stephen K. Hashmi|2019|Chem.-Eur.J.|25|11745|doi:10.1002/chem.201902458
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.cc22cvq1
title: CCDC 1918023: Experimental Crystal Structure Determination

description: Related Article: Alejandro Cervantes-Reyes, Frank Rominger, Matthias Rudolph, A. Stephen K. Hashmi|2019|Chem.-Eur.J.|25|11745|doi:10.1002/chem.201902458
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: 10.7284/124102
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise OC1604B using a SeaBird SBE-911+ instrument system onboard the platform RV Oceanus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/124103
title: Singlebeam Echosounder data collected during research cruise OC1604B using a Knudsen 3260 instrument system onboard the platform RV Oceanus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/124104
title: Singlebeam Echosounder data collected during research cruise OC1604B using a Knudsen 3260 instrument system onboard the platform RV Oceanus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/124112
title: TSG (Thermosalinograph) data collected during research cruise OC1604B using a SeaBird SBE-45 instrument system onboard the platform RV Oceanus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/124130
title: Singlebeam Echosounder data collected during research cruise OC1605A using a Knudsen 3260 instrument system onboard the platform RV Oceanus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/124131
title: Singlebeam Echosounder data collected during research cruise OC1605A using a Knudsen 3260 instrument system onboard the platform RV Oceanus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/124143
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise OC1605B using a SeaBird SBE-911+ instrument system onboard the platform RV Oceanus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/124144
title: Singlebeam Echosounder data collected during research cruise OC1605B using a Knudsen 3260 instrument system onboard the platform RV Oceanus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/124145
title: Singlebeam Echosounder data collected during research cruise OC1605B using a Knudsen 3260 instrument system onboard the platform RV Oceanus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.25446/oxford.20376582
title: GNNQ-datasets

description: Datasets used for the experiments in the GNNQ paper.
DOI: 10.6084/m9.figshare.20431698
title: Timing and stratigraphic evolution of a Miocene foreland unroofing sequence in the Austral-Magallanes Basin during Southern Patagonian Andes uplift

description: Geochronological U-Pb isotopic ratios.
DOI: 10.6084/m9.figshare.20431698.v1
title: Timing and stratigraphic evolution of a Miocene foreland unroofing sequence in the Austral-Magallanes Basin during Southern Patagonian Andes uplift

description: Geochronological U-Pb isotopic ratios.
DOI: 10.6084/m9.figshare.20431680
title: Dataset related to ''The impact of ex post legislative evaluations: a scoping review''

description: Supplement to ''The impact of ex post legislative evaluations: a scoping review''. This dataset all available literature for coding during the systematic literature search.
DOI: 10.6084/m9.figshare.20431680.v1
title: Dataset related to ''The impact of ex post legislative evaluations: a scoping review''

description: Supplement to ''The impact of ex post legislative evaluations: a scoping review''. This dataset all available literature for coding during the systematic literature search.
DOI: 10.5281/zenodo.6962598
title: Data from: Unravelling cucumber resistance to several viruses via genome-wide association studies highlighted resistance hotspots and new QTLs

description: The mapping and introduction of sustainable resistance to viruses in crops is a major challenge in modern breeding, especially regarding vegetables. We hence assembled a panel of cucumber elite lines and landraces from different horticultural groups for testing with six virus species. We mapped 18 quantitative trait loci (QTL) with a multiloci genome wide association studies (GWAS), some of which have already been described in the literature. We detected two resistance hotspots, one on chromosome 5 for resistance to the cucumber mosaic virus (CMV), cucumber vein yellowing virus (CVYV), cucumber green mottle mosaic virus (CGMMV) and watermelon mosaic virus (WMV), colocalizing with the RDR1 gene, and another on chromosome 6 for resistance to the zucchini yellowing mosaic virus (ZYMV) and papaya ringspot virus (PRSV) close to the putative VPS4 gene location. We observed clear structuring of resistance among horticultural groups due to plant virus coevolution and modern breeding which have impacted linkage disequilibrium (LD) in resistance QTLs. The inclusion of genetic structure in GWAS models enhanced the GWAS accuracy in this study. The dissection of resistance hotspots by local LD and haplotype construction helped gain insight into the panel’s resistance introduction history. ZYMV and CMV resistance were both introduced from different donors in the panel, resulting in multiple resistant haplotypes at same locus for ZYMV, and in multiple resistant QTLs for CMV.
description: Leaf samples from three plants were bulked for each accession of a cucumber diversity panel composed by 257 lines/landrace. Samples were sequenced with Illumina 150 bp pair-end to 20x coverage. The Cornell Chinese Long v3.0 public genome (Li et al. 2019) was used for sequence alignment and variant calling. Variant discovery performed using GATK4 Best Practices (Van der Auwera et O'Connor 2020), first by calling individual sample SNPs, followed by joint genotyping on the population. All biallelic SNP with a depth equal or superior to 20X and a Phred score superior to 20 for each accession were collected, resulting in a genetic dataset of 2,081,122 biallelic SNPs, 28,162 multiallelic SNPs and 30,557 InDels. The SNPs were then filtered for QD (Quality by Depth) &gt;18. SNPs exhibiting a missing rate above 10%, a heterozygous rate above 20% and a minor allele frequency (MAF) under 3,25% (~8 homozygous accessions), were discarded. InDels and multi-allelic SNPs were also discarded. The final matrix is composed by 257 accessions and 1,384,889 biallelic SNPs.
DOI: 10.5281/zenodo.6962597
title: Data from: Unravelling cucumber resistance to several viruses via genome-wide association studies highlighted resistance hotspots and new QTLs

description: The mapping and introduction of sustainable resistance to viruses in crops is a major challenge in modern breeding, especially regarding vegetables. We hence assembled a panel of cucumber elite lines and landraces from different horticultural groups for testing with six virus species. We mapped 18 quantitative trait loci (QTL) with a multiloci genome wide association studies (GWAS), some of which have already been described in the literature. We detected two resistance hotspots, one on chromosome 5 for resistance to the cucumber mosaic virus (CMV), cucumber vein yellowing virus (CVYV), cucumber green mottle mosaic virus (CGMMV) and watermelon mosaic virus (WMV), colocalizing with the RDR1 gene, and another on chromosome 6 for resistance to the zucchini yellowing mosaic virus (ZYMV) and papaya ringspot virus (PRSV) close to the putative VPS4 gene location. We observed clear structuring of resistance among horticultural groups due to plant virus coevolution and modern breeding which have impacted linkage disequilibrium (LD) in resistance QTLs. The inclusion of genetic structure in GWAS models enhanced the GWAS accuracy in this study. The dissection of resistance hotspots by local LD and haplotype construction helped gain insight into the panel’s resistance introduction history. ZYMV and CMV resistance were both introduced from different donors in the panel, resulting in multiple resistant haplotypes at same locus for ZYMV, and in multiple resistant QTLs for CMV.
description: Leaf samples from three plants were bulked for each accession of a cucumber diversity panel composed by 257 lines/landrace. Samples were sequenced with Illumina 150 bp pair-end to 20x coverage. The Cornell Chinese Long v3.0 public genome (Li et al. 2019) was used for sequence alignment and variant calling. Variant discovery performed using GATK4 Best Practices (Van der Auwera et O'Connor 2020), first by calling individual sample SNPs, followed by joint genotyping on the population. All biallelic SNP with a depth equal or superior to 20X and a Phred score superior to 20 for each accession were collected, resulting in a genetic dataset of 2,081,122 biallelic SNPs, 28,162 multiallelic SNPs and 30,557 InDels. The SNPs were then filtered for QD (Quality by Depth) &gt;18. SNPs exhibiting a missing rate above 10%, a heterozygous rate above 20% and a minor allele frequency (MAF) under 3,25% (~8 homozygous accessions), were discarded. InDels and multi-allelic SNPs were also discarded. The final matrix is composed by 257 accessions and 1,384,889 biallelic SNPs.
DOI: 10.7284/124117
title: Singlebeam Echosounder data collected during research cruise OC1605X using a Knudsen 3260 instrument system onboard the platform RV Oceanus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.15090060
title: cyanobacteria_ITS_reference_database_v1.7

description: cyanobacterial 16S-23S rRNA ITS reference sequence for next generation sequencing data analysis.
DOI: 10.6084/m9.figshare.15090060.v1
title: cyanobacteria_ITS_reference_database_v1.7

description: cyanobacterial 16S-23S rRNA ITS reference sequence for next generation sequencing data analysis.
DOI: 10.7284/124240
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise OC1608A using a SeaBird SBE-911+ instrument system onboard the platform RV Oceanus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/124241
title: Singlebeam Echosounder data collected during research cruise OC1608A using a Knudsen 3260 instrument system onboard the platform RV Oceanus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.5281/zenodo.6963114
title: Breeding tomato flavor: modeling consumer preferences of tomato landraces (raw data)

description: Raw dataset associated with the publication: <strong>Breeding tomato flavor: modeling consumer preferences of tomato landraces.</strong> Villena, J.<sup>a</sup>, Moreno, C.<sup>a</sup>, Roselló, S.<sup>b</sup>, Beltran, J.<sup> c</sup>, Cebolla-Cornejo, J.<sup>d</sup>, Moreno, M.M.<sup>a*</sup> <em><sup>a</sup></em><em>University of Castilla-La Mancha, Higher Technical School of Agricultural Engineering in Ciudad Real, Ronda de Calatrava 7, 13071, Ciudad Real, Spain</em> <em><sup>b</sup></em><em>Joint Research Unit UJI-UPV ‐ Improvement of agri‐food quality. Agricultural Sciences and Natural Environment Department, Universitat Jaume I, Avda. Sos Baynat s/n, 12071 Castelló de la Plana, Spain</em> <em><sup>c </sup></em><em>Research Institute for Pesticides and Water (IUPA).</em> <em>Universitat Jaume I, Avda. </em><em>Sos Baynat s/n, 12071 Castelló de la Plana, Spain</em> <em><sup>d</sup></em><em>Joint Research Unit UJI-UPV ‐ Improvement of agri‐food quality. </em><em>COMAV. Universitat Politècnica de València, Cno. de Vera s/n, 46022 València, Spain</em> *Corresponding author To be published in the journal Scientia horticulturae
description: Acknowledgments: This research has been funded by the National Institute for Agricultural and Food Research and Technology (INIA), Ministry of Science and Innovation (grant code: RTA 00083-C02-01). The authors thank 'Servei Central d'Instrumentació Científica (SCIC) de la Universitat Jaume I' for the use of scientific analytical equipment.
DOI: 10.5281/zenodo.6963113
title: Breeding tomato flavor: modeling consumer preferences of tomato landraces (raw data)

description: Raw dataset associated with the publication: <strong>Breeding tomato flavor: modeling consumer preferences of tomato landraces.</strong> Villena, J.<sup>a</sup>, Moreno, C.<sup>a</sup>, Roselló, S.<sup>b</sup>, Beltran, J.<sup> c</sup>, Cebolla-Cornejo, J.<sup>d</sup>, Moreno, M.M.<sup>a*</sup> <em><sup>a</sup></em><em>University of Castilla-La Mancha, Higher Technical School of Agricultural Engineering in Ciudad Real, Ronda de Calatrava 7, 13071, Ciudad Real, Spain</em> <em><sup>b</sup></em><em>Joint Research Unit UJI-UPV ‐ Improvement of agri‐food quality. Agricultural Sciences and Natural Environment Department, Universitat Jaume I, Avda. Sos Baynat s/n, 12071 Castelló de la Plana, Spain</em> <em><sup>c </sup></em><em>Research Institute for Pesticides and Water (IUPA).</em> <em>Universitat Jaume I, Avda. </em><em>Sos Baynat s/n, 12071 Castelló de la Plana, Spain</em> <em><sup>d</sup></em><em>Joint Research Unit UJI-UPV ‐ Improvement of agri‐food quality. </em><em>COMAV. Universitat Politècnica de València, Cno. de Vera s/n, 46022 València, Spain</em> *Corresponding author To be published in the journal Scientia horticulturae
description: Acknowledgments: This research has been funded by the National Institute for Agricultural and Food Research and Technology (INIA), Ministry of Science and Innovation (grant code: RTA 00083-C02-01). The authors thank 'Servei Central d'Instrumentació Científica (SCIC) de la Universitat Jaume I' for the use of scientific analytical equipment.
DOI: 10.7284/124242
title: Singlebeam Echosounder data collected during research cruise OC1608A using a Knudsen 3260 instrument system onboard the platform RV Oceanus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/124250
title: TSG (Thermosalinograph) data collected during research cruise OC1608A using a SeaBird SBE-45 instrument system onboard the platform RV Oceanus

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.5281/zenodo.6962994
title: Point cloud data sets of real and virtual Chenopodium alba

description: This data set contains: - 5 annotated point clouds of real Chenopodium alba plants obtained from multi-view 2D camera imaging. Annotations consist of 5 classes: leaf blade, petiole, apex, main stem, branch. .txt files contain both 3D coordinates and annotations. .ply files are also provided for raw 3D point data without annotations. - 24 annotated point clouds of virtual Chenopodium alba that were generated by a L-system simulation program. Annotations consist of 3 classes: leaf blade, petiole, stem. 3D coordinates and annotations are in separated .txt files. These files have been used in a companion paper.