cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13093787.v2
title: Additional file 12 of Genomic diversity and population structure of the Leonberger dog breed

description: Additional file 12: Table S8. Diversity of the mitochondrial genome of 39 Leonberger dogs. The table shows the low diversity of Leonberger mtDNA based on two nomenclature standards [46, 48]: most dogs belong to the A1b2a1a1 or A2 haplogroup whereas only one dog belongs to the A1b1a1a or A17 haplogroup. In addition, seven private SNVs detected in the mtDNA of the Leonberger dogs are also highlighted.
DOI: 10.6084/m9.figshare.13093784.v1
title: Additional file 11 of Genomic diversity and population structure of the Leonberger dog breed

description: Additional file 11: Table S7. List of whole-genome sequence variants present in at least one Leonberger dog in the 113 selected genes showing genotypes of all 653 available genomes. SNVs present in polyneuropathy- and Charcot-Marie-Tooth disease-associated candidate genes (listed in Additional file 2: Table S2) and their alternative allele frequency in the Leonberger dogs and 128 other dog breeds and wolves.
DOI: 10.6084/m9.figshare.13093787.v1
title: Additional file 12 of Genomic diversity and population structure of the Leonberger dog breed

description: Additional file 12: Table S8. Diversity of the mitochondrial genome of 39 Leonberger dogs. The table shows the low diversity of Leonberger mtDNA based on two nomenclature standards [46, 48]: most dogs belong to the A1b2a1a1 or A2 haplogroup whereas only one dog belongs to the A1b1a1a or A17 haplogroup. In addition, seven private SNVs detected in the mtDNA of the Leonberger dogs are also highlighted.
DOI: 10.6084/m9.figshare.13093790.v2
title: Additional file 1 of Genomic diversity and population structure of the Leonberger dog breed

description: Additional file 1: Table S1. List of the 1203 dogs analysed in this study with available genomic information. The table includes supplementary descriptive details of the studied Leonberger dogs including accession numbers and known health history of the WGSed dogs.
DOI: 10.6084/m9.figshare.13093784
title: Additional file 11 of Genomic diversity and population structure of the Leonberger dog breed

description: Additional file 11: Table S7. List of whole-genome sequence variants present in at least one Leonberger dog in the 113 selected genes showing genotypes of all 653 available genomes. SNVs present in polyneuropathy- and Charcot-Marie-Tooth disease-associated candidate genes (listed in Additional file 2: Table S2) and their alternative allele frequency in the Leonberger dogs and 128 other dog breeds and wolves.
DOI: 10.6084/m9.figshare.13093790
title: Additional file 1 of Genomic diversity and population structure of the Leonberger dog breed

description: Additional file 1: Table S1. List of the 1203 dogs analysed in this study with available genomic information. The table includes supplementary descriptive details of the studied Leonberger dogs including accession numbers and known health history of the WGSed dogs.
DOI: 10.6084/m9.figshare.13093790.v1
title: Additional file 1 of Genomic diversity and population structure of the Leonberger dog breed

description: Additional file 1: Table S1. List of the 1203 dogs analysed in this study with available genomic information. The table includes supplementary descriptive details of the studied Leonberger dogs including accession numbers and known health history of the WGSed dogs.
DOI: 10.6084/m9.figshare.13093793
title: Additional file 2 of Genomic diversity and population structure of the Leonberger dog breed

description: Additional file 2: Table S2. List of 113 selected genes used for filtering variants in the 653 available WGS data. Putative candidate genes and their phenotype association in humans or animals based on OMIM [41] and OMIA [42] databases showing the number of variants detected in each of these genes in the Leonberger genomes.
DOI: 10.6084/m9.figshare.13093787
title: Additional file 12 of Genomic diversity and population structure of the Leonberger dog breed

description: Additional file 12: Table S8. Diversity of the mitochondrial genome of 39 Leonberger dogs. The table shows the low diversity of Leonberger mtDNA based on two nomenclature standards [46, 48]: most dogs belong to the A1b2a1a1 or A2 haplogroup whereas only one dog belongs to the A1b1a1a or A17 haplogroup. In addition, seven private SNVs detected in the mtDNA of the Leonberger dogs are also highlighted.
DOI: 10.6084/m9.figshare.13093793.v2
title: Additional file 2 of Genomic diversity and population structure of the Leonberger dog breed

description: Additional file 2: Table S2. List of 113 selected genes used for filtering variants in the 653 available WGS data. Putative candidate genes and their phenotype association in humans or animals based on OMIM [41] and OMIA [42] databases showing the number of variants detected in each of these genes in the Leonberger genomes.
DOI: 10.6084/m9.figshare.13093793.v1
title: Additional file 2 of Genomic diversity and population structure of the Leonberger dog breed

description: Additional file 2: Table S2. List of 113 selected genes used for filtering variants in the 653 available WGS data. Putative candidate genes and their phenotype association in humans or animals based on OMIM [41] and OMIA [42] databases showing the number of variants detected in each of these genes in the Leonberger genomes.
DOI: 10.6084/m9.figshare.13093802.v2
title: Additional file 5 of Genomic diversity and population structure of the Leonberger dog breed

description: Additional file 5: Table S3. Distribution of disease phenotypes reported in 2726 Leonberger dogs. The table shows the number of dogs for which the owners reported particular disorders. Each more general group is divided in specific subgroups. Note that many dogs have multiple health issues and therefore the sum of the individual counts will be larger than the total of 1334 dogs with at least one health condition reported.
DOI: 10.6084/m9.figshare.13093802
title: Additional file 5 of Genomic diversity and population structure of the Leonberger dog breed

description: Additional file 5: Table S3. Distribution of disease phenotypes reported in 2726 Leonberger dogs. The table shows the number of dogs for which the owners reported particular disorders. Each more general group is divided in specific subgroups. Note that many dogs have multiple health issues and therefore the sum of the individual counts will be larger than the total of 1334 dogs with at least one health condition reported.
DOI: 10.6084/m9.figshare.13093796.v1
title: Additional file 3 of Genomic diversity and population structure of the Leonberger dog breed

description: Additional file 3: Figure S1. Population size of the Leonberger breed between the years 1920–2016. The blue, yellow, and green lines represent the number of breeding males, breeding females, and puppies they produced per year, respectively. The red dashed line represents the number of expected parent pairs for the given number of born puppies per year, assuming the average litter size of 6.5 puppies. Panel (a) shows the increasing population size from 1920 to 1978 and the apparent bottleneck around 1946. In the 1970s, the number of dogs born started to increase rapidly whereas the number of breeding males used started to decrease. Panel (b) shows the continuously increasing population from 1979 to 2016. Note that the number of dams is more or less as expected but the number of sires constantly decreases to about half of that of the dams in recent years, illustrating the popular sire syndrome.
DOI: 10.6084/m9.figshare.13093799.v1
title: Additional file 4 of Genomic diversity and population structure of the Leonberger dog breed

description: Additional file 4: Figure S2. Mean kinship of the estimated current population of 31,832 Leonberger dogs per country. The proportion of dogs belonging to the three groups that indicate the increasing relatedness to the whole population, is shown as green (MK &lt; 0.31), yellow (MK = [0.31–0.32]), and orange (MK &gt; 0.32) by country. The total number of dogs recorded in each country is shown in red at the top of the corresponding columns.
DOI: 10.6084/m9.figshare.13093802.v1
title: Additional file 5 of Genomic diversity and population structure of the Leonberger dog breed

description: Additional file 5: Table S3. Distribution of disease phenotypes reported in 2726 Leonberger dogs. The table shows the number of dogs for which the owners reported particular disorders. Each more general group is divided in specific subgroups. Note that many dogs have multiple health issues and therefore the sum of the individual counts will be larger than the total of 1334 dogs with at least one health condition reported.
DOI: 10.6084/m9.figshare.13093811
title: Additional file 8 of Genomic diversity and population structure of the Leonberger dog breed

description: Additional file 8: Table S4. List of private whole-genome sequence variants in 39 Leonberger dogs. Breed-specific SNVs present at least in the heterozygous state in all Leonberger dogs and absent from the 614 control genomes.
DOI: 10.6084/m9.figshare.13093814.v2
title: Additional file 9 of Genomic diversity and population structure of the Leonberger dog breed

description: Additional file 9: Table S5. List of rare whole-genome sequence variants in 39 Leonberger dogs. Breed-specific SNVs present in at least one Leonberger dog and absent from the 614 control genomes.
DOI: 10.6084/m9.figshare.13093811.v2
title: Additional file 8 of Genomic diversity and population structure of the Leonberger dog breed

description: Additional file 8: Table S4. List of private whole-genome sequence variants in 39 Leonberger dogs. Breed-specific SNVs present at least in the heterozygous state in all Leonberger dogs and absent from the 614 control genomes.
DOI: 10.6084/m9.figshare.13093814
title: Additional file 9 of Genomic diversity and population structure of the Leonberger dog breed

description: Additional file 9: Table S5. List of rare whole-genome sequence variants in 39 Leonberger dogs. Breed-specific SNVs present in at least one Leonberger dog and absent from the 614 control genomes.
DOI: 10.6084/m9.figshare.13093811.v1
title: Additional file 8 of Genomic diversity and population structure of the Leonberger dog breed

description: Additional file 8: Table S4. List of private whole-genome sequence variants in 39 Leonberger dogs. Breed-specific SNVs present at least in the heterozygous state in all Leonberger dogs and absent from the 614 control genomes.
DOI: 10.5281/zenodo.4621431
title: Wapok Key Landscape for Conservation Land Cover and Validation Datasets (2000-2017)

description: The Wapok land cover and change dataset covers an area of 57 776km<sup>2</sup> and mapped with dichotomous (8 land cover classes) and modular (up to 32 land cover classes) levels based on FAO's Land Cover Classification System (LCCS). High-resolution optical satellite imagery were used to generate dense time-series data from which the thematic land cover and change maps were derived (LC: 2017, LCC: 2000). The maps were fully verified and validated by an independent team to achieve the Copernicus Global Land Monitoring Programme's strict data quality requirements. An independent validation dataset was also collected and it is shared here. The validation dataset contains 3522 verified land cover points based on the [up to] 32 modular level land cover classes. Furthermore, two predefined symbology (QGIS legend files) for the land cover and validation datasets based on FAO's LCCS is also shared here to ease the visualization of them (Dichotomous and Modular levels). Further details regarding the sites selection, mapping and validation procedures are described in the corresponding publication: Szantoi, Zoltan; Brink, Andreas; Lupi, Andrea (2021): An update and beyond: key landscapes for conservation land cover and change monitoring, thematic and validation datasets for the African, Caribbean and Pacific region (in review, Earth System Science Data). Data format: vector (shapefile, polygon - LC/LCC dataset), vector (shapefile, point - validation dataset),<br> Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326),<br> Minimum mapping unit: 3ha for land cover and 0.5ha for land cover change<br> Land cover/change dataset attributes:<br> [map_codeA] - dichotomous level,<br> [map_code} - modular level,<br> [class_name] - corresponding modular class name.<br> Validation dataset attributes (not all are present):<br> [plaus200X] - corresponding class for the change map (i.e. 2000), modular level<br> [plaus200Xr] - corresponding class for the change map (i.e. 2000), aggregated classes<br> [plaus20XX] - corresponding class for the land cover map (i.e. 2017), modular level<br> [plaus20XXr] - corresponding class for the land cover map (i.e. 2017), aggregated classes<br> The naming of all attributes follow the same structure in all shapefiles - see Table 2 Dichotomous and Modular thematic land cover/use classes and in the "3.5 Validation dataset production" section in the corresponding publication.
DOI: 10.5281/zenodo.4621430
title: Wapok Key Landscape for Conservation Land Cover and Validation Datasets (2000-2017)

description: The Wapok land cover and change dataset covers an area of 57 776km<sup>2</sup> and mapped with dichotomous (8 land cover classes) and modular (up to 32 land cover classes) levels based on FAO's Land Cover Classification System (LCCS). High-resolution optical satellite imagery were used to generate dense time-series data from which the thematic land cover and change maps were derived (LC: 2017, LCC: 2000). The maps were fully verified and validated by an independent team to achieve the Copernicus Global Land Monitoring Programme's strict data quality requirements. An independent validation dataset was also collected and it is shared here. The validation dataset contains 3522 verified land cover points based on the [up to] 32 modular level land cover classes. Furthermore, two predefined symbology (QGIS legend files) for the land cover and validation datasets based on FAO's LCCS is also shared here to ease the visualization of them (Dichotomous and Modular levels). Further details regarding the sites selection, mapping and validation procedures are described in the corresponding publication: Szantoi, Zoltan; Brink, Andreas; Lupi, Andrea (2021): An update and beyond: key landscapes for conservation land cover and change monitoring, thematic and validation datasets for the African, Caribbean and Pacific region (in review, Earth System Science Data). Data format: vector (shapefile, polygon - LC/LCC dataset), vector (shapefile, point - validation dataset),<br> Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326),<br> Minimum mapping unit: 3ha for land cover and 0.5ha for land cover change<br> Land cover/change dataset attributes:<br> [map_codeA] - dichotomous level,<br> [map_code} - modular level,<br> [class_name] - corresponding modular class name.<br> Validation dataset attributes (not all are present):<br> [plaus200X] - corresponding class for the change map (i.e. 2000), modular level<br> [plaus200Xr] - corresponding class for the change map (i.e. 2000), aggregated classes<br> [plaus20XX] - corresponding class for the land cover map (i.e. 2017), modular level<br> [plaus20XXr] - corresponding class for the land cover map (i.e. 2017), aggregated classes<br> The naming of all attributes follow the same structure in all shapefiles - see Table 2 Dichotomous and Modular thematic land cover/use classes and in the "3.5 Validation dataset production" section in the corresponding publication.
DOI: 10.6084/m9.figshare.14433548
title: Additional file 2 of Raman2imzML converts Raman imaging data into the standard mass spectrometry imaging format

description: Additional file 2. Markdown for using the Raman2imzML package.
DOI: 10.6084/m9.figshare.14433545
title: Additional file 1 of Raman2imzML converts Raman imaging data into the standard mass spectrometry imaging format

description: Additional file 1. Example datasets collected with Renishaw and WITec Raman instruments as common text files.
DOI: 10.6084/m9.figshare.14433545.v1
title: Additional file 1 of Raman2imzML converts Raman imaging data into the standard mass spectrometry imaging format

description: Additional file 1. Example datasets collected with Renishaw and WITec Raman instruments as common text files.
DOI: 10.1285/i22390359v43
title: Traduzione è accessibilità. Tradurre le immagini in suono e il suono in segno

description: Questo numero speciale di Lingue e Linguaggi raccoglie gli interventi di studiose e studiosi, professionisti e studenti, che hanno preso parte alle attività incluse nel progetto Traduzione audiovisiva, saperi interdisciplinari e nuove professionalità, portato avanti presso il Dipartimento di Scienze della Formazione, Psicologia e Comunicazione dell'Università degli Studi di Bari grazie al cofinanziamento del Fondo di Sviluppo e Coesione 2007/2013-APQ Ricerca Regione Puglia Programma regionale a sostegno della specializzazione intelligente e della sostenibilità sociale e ambientale-Future in Research. Il numero è suddiviso in due parti, saggi e testimonianze. I saggi si dividono a loro volta in due tipologie: alcuni di essi hanno come scopo la descrizione dello stato dell'arte in determinati ambiti di intervento legati al tema della traduzione audiovisiva e dell'accessibilità dei prodotti audiovisivi per persone cieche, ipovedenti, sorde e ipoudenti e si concentrano su determinate figure professionali; altri rappresentano casi studio specifici e testimoniano le numerose possibilità di ricerca nell'ambito della traduzione audiovisiva e dell'accessibilità. Le testimonianze raccolgono le voci di coloro i quali hanno preso parte al progetto in maniera attiva o hanno contribuito alla diffusione della cultura dell'accessibilità nei suoi diversi ambiti d'intervento e fruizione.
DOI: 10.6084/m9.figshare.14433551.v1
title: Additional file of Raman2imzML converts Raman imaging data into the standard mass spectrometry imaging format

description: Additional file of Raman2imzML converts Raman imaging data into the standard mass spectrometry imaging format
DOI: 10.6084/m9.figshare.14433551
title: Additional file of Raman2imzML converts Raman imaging data into the standard mass spectrometry imaging format

description: Additional file of Raman2imzML converts Raman imaging data into the standard mass spectrometry imaging format
DOI: 10.6084/m9.figshare.14433548.v1
title: Additional file 2 of Raman2imzML converts Raman imaging data into the standard mass spectrometry imaging format

description: Additional file 2. Markdown for using the Raman2imzML package.
DOI: 10.5281/zenodo.4623554
title: Upemba Key Landscape for Conservation Land Cover Change and Validation Datasets (2019)

description: The Upemba land cover change dataset covers an area of 47 318km<sup>2</sup> and mapped with both dichotomous (8 land cover classes) and modular (up to 32 land cover classes) levels based on FAO's Land Cover Classification System (LCCS). High-resolution optical satellite imagery were used to generate dense time-series data from which the thematic land cover change map was derived (year 2019). The map was fully verified and validated by an independent team to achieve the Copernicus Global Land Monitoring Programme's strict data quality requirements. An independent validation dataset was also collected and it is shared here. The validation dataset contains 3228 verified land cover points based on the [up to] 14 aggregated land cover change classes. Furthermore, two predefined symbology (QGIS legend files) for the land cover and validation datasets based on FAO's LCCS is also shared here to ease the visualization of them (Dichotomous and Modular levels). Further details regarding the sites selection, mapping and validation procedures are described in the corresponding publication: Szantoi, Zoltan; Brink, Andreas; Lupi, Andrea (2021): An update and beyond: key landscapes for conservation land cover and change monitoring, thematic and validation datasets for the African, Caribbean and Pacific region (in review, Earth System Science Data). Related dataset: https://doi.pangaea.de/10.1594/PANGAEA.920847 Data format: vector (shapefile, polygon - LC/LCC dataset), vector (shapefile, point - validation dataset),<br> Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326),<br> Minimum mapping unit: 3ha for land cover and 0.5ha for land cover change<br> Land cover/change dataset attributes:<br> [map_codeA] - dichotomous level,<br> [map_code} - modular level,<br> [class_name] - corresponding modular class name.<br> Validation dataset attributes (not all are present):<br> [plaus200X] - corresponding class for the change map (i.e. 2000), modular level<br> [plaus200Xr] - corresponding class for the change map (i.e. 2000), aggregated classes<br> [plaus20XX] - corresponding class for the land cover map (i.e. 2015), modular level<br> [plaus20XXr] - corresponding class for the land cover map (i.e. 2015), aggregated classes<br> The naming of all attributes follow the same structure in all shapefiles - see Table 2 Dichotomous and Modular thematic land cover/use classes and in the "3.5 Validation dataset production" section in the corresponding publication.
DOI: 10.5281/zenodo.4623553
title: Upemba Key Landscape for Conservation Land Cover Change and Validation Datasets (2019)

description: The Upemba land cover change dataset covers an area of 47 318km<sup>2</sup> and mapped with both dichotomous (8 land cover classes) and modular (up to 32 land cover classes) levels based on FAO's Land Cover Classification System (LCCS). High-resolution optical satellite imagery were used to generate dense time-series data from which the thematic land cover change map was derived (year 2019). The map was fully verified and validated by an independent team to achieve the Copernicus Global Land Monitoring Programme's strict data quality requirements. An independent validation dataset was also collected and it is shared here. The validation dataset contains 3228 verified land cover points based on the [up to] 14 aggregated land cover change classes. Furthermore, two predefined symbology (QGIS legend files) for the land cover and validation datasets based on FAO's LCCS is also shared here to ease the visualization of them (Dichotomous and Modular levels). Further details regarding the sites selection, mapping and validation procedures are described in the corresponding publication: Szantoi, Zoltan; Brink, Andreas; Lupi, Andrea (2021): An update and beyond: key landscapes for conservation land cover and change monitoring, thematic and validation datasets for the African, Caribbean and Pacific region (in review, Earth System Science Data). Related dataset: https://doi.pangaea.de/10.1594/PANGAEA.920847 Data format: vector (shapefile, polygon - LC/LCC dataset), vector (shapefile, point - validation dataset),<br> Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326),<br> Minimum mapping unit: 3ha for land cover and 0.5ha for land cover change<br> Land cover/change dataset attributes:<br> [map_codeA] - dichotomous level,<br> [map_code} - modular level,<br> [class_name] - corresponding modular class name.<br> Validation dataset attributes (not all are present):<br> [plaus200X] - corresponding class for the change map (i.e. 2000), modular level<br> [plaus200Xr] - corresponding class for the change map (i.e. 2000), aggregated classes<br> [plaus20XX] - corresponding class for the land cover map (i.e. 2015), modular level<br> [plaus20XXr] - corresponding class for the land cover map (i.e. 2015), aggregated classes<br> The naming of all attributes follow the same structure in all shapefiles - see Table 2 Dichotomous and Modular thematic land cover/use classes and in the "3.5 Validation dataset production" section in the corresponding publication.