cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12782642.v2
title: Additional file 1 of Influence of the polar light cycle on seasonal dynamics of an Antarctic lake microbial community

description: Additional file 1: Ace Lake carbon cycle, expedition information, and taxonomic and functional analyses. Supplementary text, figures, tables and dataset.
DOI: 10.6084/m9.figshare.12782642
title: Additional file 1 of Influence of the polar light cycle on seasonal dynamics of an Antarctic lake microbial community

description: Additional file 1: Ace Lake carbon cycle, expedition information, and taxonomic and functional analyses. Supplementary text, figures, tables and dataset.
DOI: 10.6084/m9.figshare.12782648.v1
title: Additional file 3 of Influence of the polar light cycle on seasonal dynamics of an Antarctic lake microbial community

description: Additional file 3: Ace Lake video. Movie and text description.
DOI: 10.6084/m9.figshare.12782651
title: Additional file 4 of Influence of the polar light cycle on seasonal dynamics of an Antarctic lake microbial community

description: Additional file 4: Viral analyses. Supplementary tables and dataset.
DOI: 10.6084/m9.figshare.12782651.v2
title: Additional file 4 of Influence of the polar light cycle on seasonal dynamics of an Antarctic lake microbial community

description: Additional file 4: Viral analyses. Supplementary tables and dataset.
DOI: 10.6084/m9.figshare.12782648
title: Additional file 3 of Influence of the polar light cycle on seasonal dynamics of an Antarctic lake microbial community

description: Additional file 3: Ace Lake video. Movie and text description.
DOI: 10.5281/zenodo.4623700
title: Salonga Key Landscape for Conservation Land Cover and Validation Datasets (2016-2019)

description: The Salonga land cover and change dataset covers an area of 66 625km<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: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 3069 verified land cover points based on the 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). Related dataset: https://doi.pangaea.de/10.1594/PANGAEA.920845 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: 10.6084/m9.figshare.12731542.v1
title: Additional file 1 of Sarcopenia is associated with insomnia in Japanese older adults: a cross-sectional study of data from the Nagasaki Islands study

description: Additional file 1. Data file
DOI: 10.5281/zenodo.4623699
title: Salonga Key Landscape for Conservation Land Cover and Validation Datasets (2016-2019)

description: The Salonga land cover and change dataset covers an area of 66 625km<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: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 3069 verified land cover points based on the 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). Related dataset: https://doi.pangaea.de/10.1594/PANGAEA.920845 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: 10.6084/m9.figshare.14433583.v1
title: Additional file of Sarcopenia is associated with insomnia in Japanese older adults: a cross-sectional study of data from the Nagasaki Islands study

description: Additional file of Sarcopenia is associated with insomnia in Japanese older adults: a cross-sectional study of data from the Nagasaki Islands study
DOI: 10.1285/i22390359v43p1
title: Frontespizio
DOI: 10.5281/zenodo.4623710
title: Greater Virunga Key Landscape for Conservation Land Cover Change and Validation Datasets (2019)

description: The Greater Virunga land cover change dataset covers an area of 39062km<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).<br> High-resolution optical satellite imagery were used to generate dense time-series data from which the thematic land cover change map was derived (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 2998 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.915849 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.4623709
title: Greater Virunga Key Landscape for Conservation Land Cover Change and Validation Datasets (2019)

description: The Greater Virunga land cover change dataset covers an area of 39062km<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).<br> High-resolution optical satellite imagery were used to generate dense time-series data from which the thematic land cover change map was derived (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 2998 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.915849 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: 10.1285/i22390359v43p5
title: Indice
DOI: 10.6084/m9.figshare.14433595.v1
title: Additional file of Length of hospitalization is associated with selected biomarkers (albumin and lymphocytes) and with co-morbidities: study on 4000 patients

description: Additional file of Length of hospitalization is associated with selected biomarkers (albumin and lymphocytes) and with co-morbidities: study on 4000 patients
DOI: 10.6084/m9.figshare.14433595
title: Additional file of Length of hospitalization is associated with selected biomarkers (albumin and lymphocytes) and with co-morbidities: study on 4000 patients

description: Additional file of Length of hospitalization is associated with selected biomarkers (albumin and lymphocytes) and with co-morbidities: study on 4000 patients
DOI: 10.5281/zenodo.4621407
title: The Madagascar Key Landscape for Conservation Land Cover and Validation Datasets (2000-2017)

description: The Madagascar land cover and change dataset covers an area of 124 012km<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 3995 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.4621406
title: The Madagascar Key Landscape for Conservation Land Cover and Validation Datasets (2000-2017)

description: The Madagascar land cover and change dataset covers an area of 124 012km<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 3995 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.4694533
title: Supplement to the manuscript "Mapping Arctic Lake Ice Backscatter Anomalies using Sentinel-1 Time Series on Google Earth Engine" submitted to "Remote Sensing"

description: Geospatial raster data and vector data created in the frame of the study "Mapping Arctic Lake Ice Backscatter Anomalies using Sentinel-1 Time Series on Google Earth Engine" submitted to the journal "Remote Sensing" and Python code to reproduce the results. In addition to the full repository (Supplement_to_RS_Arctic_Lake_Ice_Backscatter_Anomalies.zip), two reduced alternatives of this repository are available due to large file size of the full repository: Supplement_to_RS_Arctic_Lake_Ice_Backscatter_Anomalies_without_IW_result_data.zip contains the same data and Python scripts as the full repository, but results based on IW data and tiled EW delta sigma0 images directly exported from Google Earth Engine have been removed. The merged data (from tiled EW delta sigma0 images) and all other results deduced thereof are included. Supplement_to_RS_Arctic_Lake_Ice_Backscatter_Anomalies_scripts_and_reference_data_only.zip contains only the Python scripts and reference data. The directory structure was retained for better reproducibility. Please see the associated README-files for details.
description: The creation of this dataset was supported by the European Union's HORIZON2020 research projects Nunataryuk [grant number 773421] and CHARTER [grant number 869471], and the doctoral college DK GIScience at the University of Salzburg [Austrian Science Fund (FWF) project number W 1237].
DOI: 10.5281/zenodo.4633885
title: Supplement to the manuscript "Mapping Arctic Lake Ice Backscatter Anomalies using Sentinel-1 Time Series on Google Earth Engine" submitted to "Remote Sensing"

description: Geospatial raster data and vector data created in the frame of the study "Mapping Arctic Lake Ice Backscatter Anomalies using Sentinel-1 Time Series on Google Earth Engine" submitted to the journal "Remote Sensing" and Python code to reproduce the results. In addition to the full repository (Supplement_to_RS_Arctic_Lake_Ice_Backscatter_Anomalies.zip), two reduced alternatives of this repository are available due to large file size of the full repository: Supplement_to_RS_Arctic_Lake_Ice_Backscatter_Anomalies_without_IW_result_data.zip contains the same data and Python scripts as the full repository, but results based on IW data and tiled EW delta sigma0 images directly exported from Google Earth Engine have been removed. The merged data (from tiled EW delta sigma0 images) and all other results deduced thereof are included. Supplement_to_RS_Arctic_Lake_Ice_Backscatter_Anomalies_scripts_and_reference_data_only.zip contains only the Python scripts and reference data. The directory structure was retained for better reproducibility. Please see the associated README-files for details.
description: The creation of this dataset was supported by the European Union's HORIZON2020 research projects Nunataryuk [grant number 773421] and CHARTER [grant number 869471], and the doctoral college DK GIScience at the University of Salzburg [Austrian Science Fund (FWF) project number W 1237].
DOI: 10.1285/i22390359v43p7
title: Introduzione: Traduzione è accessibilità

description: Introduction to the volume