cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4623470
title: Timor-Leste Key Landscape for Conservation Land Cover and Validation Datasets (2000-2005-2010-2016)

description: The Timor-Leste land cover and change dataset covers an area of 14 931km<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: 2016, LCC: 2000, 2005, 2010). 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 4413 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. 2016), modular level<br> [plaus20XXr] - corresponding class for the land cover map (i.e. 2016), 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.4623469
title: Timor-Leste Key Landscape for Conservation Land Cover and Validation Datasets (2000-2005-2010-2016)

description: The Timor-Leste land cover and change dataset covers an area of 14 931km<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: 2016, LCC: 2000, 2005, 2010). 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 4413 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. 2016), modular level<br> [plaus20XXr] - corresponding class for the land cover map (i.e. 2016), 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.4621426
title: The Caribbean Key Landscape for Conservation Land Cover and Validation Datasets (2000-2017)

description: The Caribbean land cover and change dataset covers an area of 89 883km<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 4029 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.4621425
title: The Caribbean Key Landscape for Conservation Land Cover and Validation Datasets (2000-2017)

description: The Caribbean land cover and change dataset covers an area of 89 883km<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 4029 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.4621411
title: The Niassa Selous Key Landscape for Conservation Land Cover and Validation Datasets (2000-2017)

description: The Niassa Selous land cover and change dataset covers an area of 139 163km<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 3943 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.4621410
title: The Niassa Selous Key Landscape for Conservation Land Cover and Validation Datasets (2000-2017)

description: The Niassa Selous land cover and change dataset covers an area of 139 163km<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 3943 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.4621421
title: Garamba Key Landscape for Conservation Land Cover and Validation Datasets (2000-2017-2019)

description: The Garamba land cover and change dataset covers an area of 265 976km<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, 2019). 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 7168 (2000-2017) and 4647 (2017-2019) verified land cover points based on the [up to] 32 modular (2000-2017) and [up to] 14 aggregated (2017-2019) 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.4621420
title: Garamba Key Landscape for Conservation Land Cover and Validation Datasets (2000-2017-2019)

description: The Garamba land cover and change dataset covers an area of 265 976km<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, 2019). 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 7168 (2000-2017) and 4647 (2017-2019) verified land cover points based on the [up to] 32 modular (2000-2017) and [up to] 14 aggregated (2017-2019) 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.14433479
title: Additional file 2 of Automated identification of the mouse brain’s spatial compartments from in situ sequencing data

description: Additional file 2: Table S2. ISS gene panel and probe design.
DOI: 10.6084/m9.figshare.14433479.v1
title: Additional file 2 of Automated identification of the mouse brain’s spatial compartments from in situ sequencing data

description: Additional file 2: Table S2. ISS gene panel and probe design.
DOI: 10.6084/m9.figshare.14433509.v2
title: Additional file of Genomic diversity and population structure of the Leonberger dog breed

description: Additional file of Genomic diversity and population structure of the Leonberger dog breed
DOI: 10.6084/m9.figshare.13093781
title: Additional file 10 of Genomic diversity and population structure of the Leonberger dog breed

description: Additional file 10: Table S6. List of the potentially pathogenic variants for neurological disorders detected in 39 Leonberger dogs including the predictions of the effect of the variants on the proteins. The table includes detailed description and predictions of the biological consequences of the discovered variants on the corresponding proteins using different in silico prediction tools: PROVEAN [43], the MutPred suite (includes MutPred2 [44], MutPred-Indel [45], MutPred-LOF [46]), and PredictSNP [47].
DOI: 10.6084/m9.figshare.13093781.v2
title: Additional file 10 of Genomic diversity and population structure of the Leonberger dog breed

description: Additional file 10: Table S6. List of the potentially pathogenic variants for neurological disorders detected in 39 Leonberger dogs including the predictions of the effect of the variants on the proteins. The table includes detailed description and predictions of the biological consequences of the discovered variants on the corresponding proteins using different in silico prediction tools: PROVEAN [43], the MutPred suite (includes MutPred2 [44], MutPred-Indel [45], MutPred-LOF [46]), and PredictSNP [47].
DOI: 10.6084/m9.figshare.13093784.v2
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.14433509.v3
title: Additional file of Genomic diversity and population structure of the Leonberger dog breed

description: Additional file of Genomic diversity and population structure of the Leonberger dog breed