2 Research products, page 1 of 1
Loading
- Research data . 2017 . Embargo End Date: 27 Jun 2018Open Access EnglishAuthors:Martiniano, Rui; Cassidy, Lara M.; Ó'Maoldúin, Ros; McLaughlin, Russell; Silva, Nuno M.; Manco, Licinio; Fidalgo, Daniel; Pereira, Tania; Coelho, Maria J.; Serra, Miguel; +8 moreMartiniano, Rui; Cassidy, Lara M.; Ó'Maoldúin, Ros; McLaughlin, Russell; Silva, Nuno M.; Manco, Licinio; Fidalgo, Daniel; Pereira, Tania; Coelho, Maria J.; Serra, Miguel; Burger, Joachim; Parreira, Rui; Moran, Elena; Valera, Antonio C.; Porfirio, Eduardo; Boaventura, Rui; Silva, Ana M.; Bradley, Daniel G.;
doi: 10.5061/dryad.g9f5r
Publisher: DryadProject: EC | BEAN (289966), WTWe analyse new genomic data (0.05–2.95x) from 14 ancient individuals from Portugal distributed from the Middle Neolithic (4200–3500 BC) to the Middle Bronze Age (1740–1430 BC) and impute genomewide diploid genotypes in these together with published ancient Eurasians. While discontinuity is evident in the transition to agriculture across the region, sensitive haplotype-based analyses suggest a significant degree of local hunter-gatherer contribution to later Iberian Neolithic populations. A more subtle genetic influx is also apparent in the Bronze Age, detectable from analyses including haplotype sharing with both ancient and modern genomes, D-statistics and Y-chromosome lineages. However, the limited nature of this introgression contrasts with the major Steppe migration turnovers within third Millennium northern Europe and echoes the survival of non-Indo-European language in Iberia. Changes in genomic estimates of individual height across Europe are also associated with these major cultural transitions, and ancestral components continue to correlate with modern differences in stature. Index for VCF fileIndex for VCF filepost_imputation_Martiniano_et_al_2017_public.vcf.gz.tbiVCF file containing imputed genotype data belonging to 67 newly sequenced and publicly available ancient samples.VCF file containing imputed genotype data belonging to 67 newly sequenced and publicly available ancient samples which we analysed in Martiniano et al. (2017).post_imputation_Martiniano_et_al_2017_public.vcf.gzREADME_Martiniano_et_al_2017Description of the methods used for genotype imputation.
Average popularityAverage popularity In bottom 99%Average influencePopularity: Citation-based measure reflecting the current impact.Average influence In bottom 99%Influence: Citation-based measure reflecting the total impact.add Add to ORCIDPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product. - Other research product . Other ORP type . 2016Open Access EnglishAuthors:Beneš, Jakub; Bulatović, Nataša; Edmond, Jennifer; Knežević, Milica; Lehmann, Jörg; Morselli, Francesca; Zamoiski, Andrei;Beneš, Jakub; Bulatović, Nataša; Edmond, Jennifer; Knežević, Milica; Lehmann, Jörg; Morselli, Francesca; Zamoiski, Andrei;Publisher: CENDARI ProjectCountry: NetherlandsProject: WT
While the acquisition and curation of heterogeneous data in a single repository presents a technical challenge in itself, the ingestion of data into the CENDARI repository also opens up the possibility to process and index them through data extraction, entity recognition, semantic enhancement and other transformations. In this way the CENDARI project was able to act as a bridge between cultural heritage institutions and historical researchers, insofar as it drew together holdings from a broad range of institutions and enabled the browsing of this heterogeneous content within a single search space. This document describes a broad range of ways in which the CENDARI project acquired data from cultural heritage institutions as well as the necessary technical background. In exemplifying diverse data creation or acquisition strategies, multiple formats and technical solutions, assets and drawbacks of a repository, this “White Book” aims at providing guidance and advice as well as best practices for archivists and cultural heritage institutions collaborating or planning to collaborate with infrastructure projects.
2 Research products, page 1 of 1
Loading
- Research data . 2017 . Embargo End Date: 27 Jun 2018Open Access EnglishAuthors:Martiniano, Rui; Cassidy, Lara M.; Ó'Maoldúin, Ros; McLaughlin, Russell; Silva, Nuno M.; Manco, Licinio; Fidalgo, Daniel; Pereira, Tania; Coelho, Maria J.; Serra, Miguel; +8 moreMartiniano, Rui; Cassidy, Lara M.; Ó'Maoldúin, Ros; McLaughlin, Russell; Silva, Nuno M.; Manco, Licinio; Fidalgo, Daniel; Pereira, Tania; Coelho, Maria J.; Serra, Miguel; Burger, Joachim; Parreira, Rui; Moran, Elena; Valera, Antonio C.; Porfirio, Eduardo; Boaventura, Rui; Silva, Ana M.; Bradley, Daniel G.;
doi: 10.5061/dryad.g9f5r
Publisher: DryadProject: EC | BEAN (289966), WTWe analyse new genomic data (0.05–2.95x) from 14 ancient individuals from Portugal distributed from the Middle Neolithic (4200–3500 BC) to the Middle Bronze Age (1740–1430 BC) and impute genomewide diploid genotypes in these together with published ancient Eurasians. While discontinuity is evident in the transition to agriculture across the region, sensitive haplotype-based analyses suggest a significant degree of local hunter-gatherer contribution to later Iberian Neolithic populations. A more subtle genetic influx is also apparent in the Bronze Age, detectable from analyses including haplotype sharing with both ancient and modern genomes, D-statistics and Y-chromosome lineages. However, the limited nature of this introgression contrasts with the major Steppe migration turnovers within third Millennium northern Europe and echoes the survival of non-Indo-European language in Iberia. Changes in genomic estimates of individual height across Europe are also associated with these major cultural transitions, and ancestral components continue to correlate with modern differences in stature. Index for VCF fileIndex for VCF filepost_imputation_Martiniano_et_al_2017_public.vcf.gz.tbiVCF file containing imputed genotype data belonging to 67 newly sequenced and publicly available ancient samples.VCF file containing imputed genotype data belonging to 67 newly sequenced and publicly available ancient samples which we analysed in Martiniano et al. (2017).post_imputation_Martiniano_et_al_2017_public.vcf.gzREADME_Martiniano_et_al_2017Description of the methods used for genotype imputation.
Average popularityAverage popularity In bottom 99%Average influencePopularity: Citation-based measure reflecting the current impact.Average influence In bottom 99%Influence: Citation-based measure reflecting the total impact.add Add to ORCIDPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product. - Other research product . Other ORP type . 2016Open Access EnglishAuthors:Beneš, Jakub; Bulatović, Nataša; Edmond, Jennifer; Knežević, Milica; Lehmann, Jörg; Morselli, Francesca; Zamoiski, Andrei;Beneš, Jakub; Bulatović, Nataša; Edmond, Jennifer; Knežević, Milica; Lehmann, Jörg; Morselli, Francesca; Zamoiski, Andrei;Publisher: CENDARI ProjectCountry: NetherlandsProject: WT
While the acquisition and curation of heterogeneous data in a single repository presents a technical challenge in itself, the ingestion of data into the CENDARI repository also opens up the possibility to process and index them through data extraction, entity recognition, semantic enhancement and other transformations. In this way the CENDARI project was able to act as a bridge between cultural heritage institutions and historical researchers, insofar as it drew together holdings from a broad range of institutions and enabled the browsing of this heterogeneous content within a single search space. This document describes a broad range of ways in which the CENDARI project acquired data from cultural heritage institutions as well as the necessary technical background. In exemplifying diverse data creation or acquisition strategies, multiple formats and technical solutions, assets and drawbacks of a repository, this “White Book” aims at providing guidance and advice as well as best practices for archivists and cultural heritage institutions collaborating or planning to collaborate with infrastructure projects.