cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.931976
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 163km2 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|https://www.earth-system-science-data.net/]).
description: Data format: vector (shapefile, polygon - LC/LCC dataset), vector (shapefile, point - validation dataset),Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326),Minimum mapping unit: 3ha for land cover and 0.5ha for land cover changeLand cover/change dataset attributes:[map_codeA] - dichotomous level,[map_code} - modular level,[class_name] - corresponding modular class name.Validation dataset attributes (not all are present):[plaus200X] - corresponding class for the change map (i.e. 2000), modular level[plaus200Xr] - corresponding class for the change map (i.e. 2000), aggregated classes[plaus20XX] - corresponding class for the land cover map (i.e. 2017), modular level[plaus20XXr] - corresponding class for the land cover map (i.e. 2017), aggregated classesThe 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: 10.15468/dl.jjthqg
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Occurrence evidence"
 ]
 },
 "Country is Colombia",
 "Geometry POLYGON((-84.87103 -0.45661,-56.73398 -0.45661,-56.73398 10.79339,-84.87103 10.79339,-84.87103 -0.45661))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Typha latifolia L."
 ]
}

 The dataset includes 99 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0230972-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.931695
title: Ocean hydrophone sgy-files of seismic refraction and wide angle data from the marine fore-arc off from profile P1 of SONNE cruise SO107

description: We provide seismic refraction and wide-angle data from a profile shot across the marine fore-arc of Nicaragua, Central Maerica. Profile P1 was acquired with the German RV SONNE in 1996. The profile runs across the condinantal margin and provide in total 10 digital record sections.
description: All seismic data are segy data and record sections are reduced to 6 km/s.Profile P1 of SO107 has no shift time and starts at 0 s.
DOI: 10.1594/pangaea.931978
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 883km2 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|https://www.earth-system-science-data.net/]).
description: Data format: vector (shapefile, polygon - LC/LCC dataset), vector (shapefile, point - validation dataset),Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326),Minimum mapping unit: 3ha for land cover and 0.5ha for land cover changeLand cover/change dataset attributes:[map_codeA] - dichotomous level,[map_code} - modular level,[class_name] - corresponding modular class name.Validation dataset attributes (not all are present):[plaus200X] - corresponding class for the change map (i.e. 2000), modular level[plaus200Xr] - corresponding class for the change map (i.e. 2000), aggregated classes[plaus20XX] - corresponding class for the land cover map (i.e. 2017), modular level[plaus20XXr] - corresponding class for the land cover map (i.e. 2017), aggregated classesThe 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: 10.1594/pangaea.931979
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 976km2 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|https://www.earth-system-science-data.net/]).
description: Data format: vector (shapefile, polygon - LC/LCC dataset), vector (shapefile, point - validation dataset),Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326),Minimum mapping unit: 3ha for land cover and 0.5ha for land cover changeLand cover/change dataset attributes:[map_codeA] - dichotomous level,[map_code} - modular level,[class_name] - corresponding modular class name.Validation dataset attributes (not all are present):[plaus200X] - corresponding class for the change map (i.e. 2000), modular level[plaus200Xr] - corresponding class for the change map (i.e. 2000), aggregated classes[plaus20XX] - corresponding class for the land cover map (i.e. 2017), modular level[plaus20XXr] - corresponding class for the land cover map (i.e. 2017), aggregated classesThe 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: 10.1594/pangaea.931980
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 318km2 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|https://www.earth-system-science-data.net/]).
description: Data format: vector (shapefile, polygon - LC/LCC dataset), vector (shapefile, point - validation dataset),Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326),Minimum mapping unit: 3ha for land cover and 0.5ha for land cover changeLand cover/change dataset attributes:[map_codeA] - dichotomous level,[map_code} - modular level,[class_name] - corresponding modular class name.Validation dataset attributes (not all are present):[plaus200X] - corresponding class for the change map (i.e. 2000), modular level[plaus200Xr] - corresponding class for the change map (i.e. 2000), aggregated classes[plaus20XX] - corresponding class for the land cover map (i.e. 2015), modular level[plaus20XXr] - corresponding class for the land cover map (i.e. 2015), aggregated classesThe 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: 10.1594/pangaea.931981
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 39062km2 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 (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|https://www.earth-system-science-data.net/]).
description: Data format: vector (shapefile, polygon - LC/LCC dataset), vector (shapefile, point - validation dataset),Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326),Minimum mapping unit: 3ha for land cover and 0.5ha for land cover changeLand cover/change dataset attributes:[map_codeA] - dichotomous level,[map_code} - modular level,[class_name] - corresponding modular class name.Validation dataset attributes (not all are present):[plaus200X] - corresponding class for the change map (i.e. 2000), modular level[plaus200Xr] - corresponding class for the change map (i.e. 2000), aggregated classes[plaus20XX] - corresponding class for the land cover map (i.e. 2015), modular level[plaus20XXr] - corresponding class for the land cover map (i.e. 2015), aggregated classesThe 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: 10.1594/pangaea.931982
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 931km2 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|https://www.earth-system-science-data.net/]).
description: Data format: vector (shapefile, polygon - LC/LCC dataset), vector (shapefile, point - validation dataset),Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326),Minimum mapping unit: 3ha for land cover and 0.5ha for land cover changeLand cover/change dataset attributes:[map_codeA] - dichotomous level,[map_code} - modular level,[class_name] - corresponding modular class name.Validation dataset attributes (not all are present):[plaus200X] - corresponding class for the change map (i.e. 2000), modular level[plaus200Xr] - corresponding class for the change map (i.e. 2000), aggregated classes[plaus20XX] - corresponding class for the land cover map (i.e. 2016), modular level[plaus20XXr] - corresponding class for the land cover map (i.e. 2016), aggregated classesThe 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: 10.1594/pangaea.932770
title: Fine-scale behavioral reactions of harbor porpoises (Phocoena phocoena) towards pingers

description: Observations were made to investigate the behavioral reactions of wild harbor porpoises (Phocoena phocoena) towards pingers (banana pinger (Fishtek)). We did video recordings of 16 wild porpoises with a drone (DJI Phantom 4 Professional v2.0, P4Pv2, www.dji.com) equipped with a polarizing filter (Polarpro ND8-PL). Using the drone flight records and a tailored analysis software, we were able to determine GPS coordinates of the wild porpoises. Data were collected in May and June 2019 in Kerteminde, Denmark. The purpose of the data was to record the behavior of harbor porpoises before and during exposure to pinger sounds.
DOI: 10.15468/dl.br5sqx
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vanilla hartii Rolfe"
 ]
}

 The dataset includes 77 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027422-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zhzx0e
title: Occurrence Download

description: A dataset containing 275 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Regroupement d'études et inventaires-Données de présence collectées sur la faune patrimoniale"
 ]
}

 The dataset includes 275 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011161-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.931984
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 625km2 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|https://www.earth-system-science-data.net/]).
description: Data format: vector (shapefile, polygon - LC/LCC dataset), vector (shapefile, point - validation dataset),Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326),Minimum mapping unit: 3ha for land cover and 0.5ha for land cover changeLand cover/change dataset attributes:[map_codeA] - dichotomous level,[map_code} - modular level,[class_name] - corresponding modular class name.Validation dataset attributes (not all are present):[plaus200X] - corresponding class for the change map (i.e. 2000), modular level[plaus200Xr] - corresponding class for the change map (i.e. 2000), aggregated classes[plaus20XX] - corresponding class for the land cover map (i.e. 2015), modular level[plaus20XXr] - corresponding class for the land cover map (i.e. 2015), aggregated classesThe 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: 10.15468/dl.e523kq
title: Occurrence Download

description: A dataset containing 163509 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Continent is Asia",
 "Continent is Oceania"
 ]
 },
 "DatasetKey is Harvard University Herbaria: All Records"
 ]
}

 The dataset includes 163509 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0230970-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.