cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.920852
title: Mbam Djerem Key Landscape for Conservation Land Cover and Validation Datasets (2016)

description: The Mbam Djerem land cover dataset covers an area of 11510km2 and mapped with dichotomous (8 land cover classes) level 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 map was derived (2016). 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 1254 verified land cover points based on the 8 dichotomous 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, Z., Brink, A., Lupi, A., Mannone, C., and Jaffrain, G.: Key Landscapes for Conservation Land Cover and Change Monitoring Thematic and Validation Datasets for Sub-Saharan Africa, Earth Syst. Sci. Data, 12-3001-2020, https://doi.org/10.5194/essd-12-3001-2020.
description: Three datasets are shared here.Data format: vector (shapefile, polygon - LC datasets), vector (shapefile, point - validation dataset),Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326),Projected coordinate system (validation data): Africa Albers Equal Area Conic (EPSG:102022),Minimum mapping unit: 0.5-5ha.Land cover dataset attributes:[mapcode_A] - dichotomous level,[name_A] - corresponding dichotomous class name.Validation dataset attributes:[plaus2016] - dichotomous level,The naming of all attributes follow the same structure in all shapefiles - see Table 2 Dichotomous and Modular thematic land cover/use classes in the corresponding publication.
DOI: 10.1594/pangaea.920854
title: The Yangambi Key Landscape for Conservation Land Cover and Validation Datasets (2016)

description: The Yangambi land cover dataset covers an area of 7276km2 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 map was derived (2016). 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 2727 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, Z., Brink, A., Lupi, A., Mannone, C., and Jaffrain, G.: Key Landscapes for Conservation Land Cover and Change Monitoring Thematic and Validation Datasets for Sub-Saharan Africa, Earth Syst. Sci. Data, 12-3001-2020, https://doi.org/10.5194/essd-12-3001-2020. 2020.
description: Three datasets are shared here.Data format: vector (shapefile, polygon - LC datasets), vector (shapefile, point - validation dataset),Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326),Projected coordinate system (validation data): Africa Albers Equal Area Conic (EPSG:102022),Minimum mapping unit: 0.5-5ha.Land cover dataset attributes:[mapcode_A] - dichotomous level,[mapcode_B] - modular level (Mapcode),[name_B] - corresponding modular class name.Validation dataset attributes:[plaus2016] - modular level (Mapcode),The naming of all attributes follow the same structure in all shapefiles - see Table 2 Dichotomous and Modular thematic land cover/use classes in the corresponding publication.
DOI: 10.1594/pangaea.920856
title: The Great Limpopo Key Landscape for Conservation Land Cover and Validation Datasets (2016)

description: The Great Limpopo land cover dataset covers an area of 65475km2 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 map was derived (2016). 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 3367 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, Z., Brink, A., Lupi, A., Mannone, C., and Jaffrain, G.: Key Landscapes for Conservation Land Cover and Change Monitoring Thematic and Validation Datasets for Sub-Saharan Africa, Earth Syst. Sci. Data, 12-3001-2020, https://doi.org/10.5194/essd-12-3001-2020.
description: Three datasets are shared here.Data format: vector (shapefile, polygon - LC datasets), vector (shapefile, point - validation dataset),Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326),Projected coordinate system (validation data): Africa Albers Equal Area Conic (EPSG:102022),Minimum mapping unit: 0.5-5ha.Land cover dataset attributes:[mapcode_A] - dichotomous level,[mapcode_B] - modular level (Mapcode),[name_B] - corresponding modular class name.Validation dataset attributes:[plaus2016] - modular level (Mapcode),The naming of all attributes follow the same structure in all shapefiles - see Table 2 Dichotomous and Modular thematic land cover/use classes in the corresponding publication.
DOI: 10.1594/pangaea.921482
title: Mario Zucchelli Radar, Disdrometric and snow gauge measurements during summer precipitation events (2017-01)
DOI: 10.15468/dl.3mkoin
title: Occurrence Download

description: A dataset containing 70769 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is CardObs : Observations naturalistes issues de l'outil CardObs-Données naturalistes de Thomas GAILLARD"
 ]
}

 The dataset includes 70769 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024850-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.920859
title: North and South Luangwa Key Landscape for Conservation Land Cover and Validation Datasets (2015)

description: The North and South Luangwa land cover dataset covers an area of 34880km2 and mapped with dichotomous (8 land cover classes) level 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 map was derived (2015). 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 1335 verified land cover points based on the 8 dichotomous 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, Z., Brink, A., Lupi, A., Mannone, C., and Jaffrain, G.: Key Landscapes for Conservation Land Cover and Change Monitoring Thematic and Validation Datasets for Sub-Saharan Africa, Earth Syst. Sci. Data, 12-3001-2020, https://doi.org/10.5194/essd-12-3001-2020.
description: Three datasets are shared here.Data format: vector (shapefile, polygon - LC datasets), vector (shapefile, point - validation dataset),Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326),Projected coordinate system (validation data): Africa Albers Equal Area Conic (EPSG:102022),Minimum mapping unit: 0.5-5ha.Land cover dataset attributes:[mapcode_A] - dichotomous level,[name_A] - corresponding dichotomous class name.Validation dataset attributes:[plaus2015] - dichotomous level,The naming of all attributes follow the same structure in all shapefiles - see Table 2 Dichotomous and Modular thematic land cover/use classes in the corresponding publication.
DOI: 10.1594/pangaea.921484
title: Mario Zucchelli Radar, Disdrometric and snow gauge measurements during summer precipitation events (2017-11)
DOI: 10.15468/dl.429mzz
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "OccurrenceStatus is Present",
 "TaxonKey is Boswellia dalzielii Hutch."
 ]
}

 The dataset includes 100 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113633-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.67sujf
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phrynobatrachus sternfeldi (Ahl, 1924)"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0299160-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.920861
title: Comoe-Mole Key Landscape for Conservation Land Cover and Validation Datasets (2015)

description: The Comoe-Mole land cover dataset covers an area of 40648km2 and mapped with dichotomous (8 land cover classes) level 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 map was derived (2015). 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 1264 verified land cover points based on the 8 dichotomous 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, Z., Brink, A., Lupi, A., Mannone, C., and Jaffrain, G.: Key Landscapes for Conservation Land Cover and Change Monitoring Thematic and Validation Datasets for Sub-Saharan Africa, Earth Syst. Sci. Data, 12-3001-2020, https://doi.org/10.5194/essd-12-3001-2020.
description: Three datasets are shared here.Data format: vector (shapefile, polygon - LC datasets), vector (shapefile, point - validation dataset),Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326),Projected coordinate system (validation data): Africa Albers Equal Area Conic (EPSG:102022),Minimum mapping unit: 0.5-5ha.Land cover dataset attributes:[mapcode_A] - dichotomous level,[name_A] - corresponding dichotomous class name.Validation dataset attributes:[plaus2015] - dichotomous level,The naming of all attributes follow the same structure in all shapefiles - see Table 2 Dichotomous and Modular thematic land cover/use classes in the corresponding publication.
DOI: 10.1594/pangaea.920862
title: Tai-Sapo Key Landscape for Conservation Land Cover and Validation Datasets (2016)

description: The Tai-Sapo land cover dataset covers an area of 40219km2 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 map was derived (2016). 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 4423 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, Z., Brink, A., Lupi, A., Mannone, C., and Jaffrain, G.: Key Landscapes for Conservation Land Cover and Change Monitoring Thematic and Validation Datasets for Sub-Saharan Africa, Earth Syst. Sci.Data, 12-3001-2020, https://doi.org/10.5194/essd-12-3001-2020.
description: Three datasets are shared here.Data format: vector (shapefile, polygon - LC datasets), vector (shapefile, point - validation dataset),Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326),Projected coordinate system (validation data): Africa Albers Equal Area Conic (EPSG:102022),Minimum mapping unit: 0.5-5ha.Land cover dataset attributes:[mapcode_A] - dichotomous level,[mapcode_B] - modular level (Mapcode),[name_B] - corresponding modular class name.Validation dataset attributes:[plaus2016] - modular level (Mapcode),The naming of all attributes follow the same structure in all shapefiles - see Table 2 Dichotomous and Modular thematic land cover/use classes in the corresponding publication.
DOI: 10.1594/pangaea.920871
title: Takamanda Key Landscape for Conservation Land Cover and Validation Datasets (2016)

description: The Takamanda land cover dataset covers an area of 79534km2 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 map was derived (2016). 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 3862 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, Z., Brink, A., Lupi, A., Mannone, C., and Jaffrain, G.: Key Landscapes for Conservation Land Cover and Change Monitoring Thematic and Validation Datasets for Sub-Saharan Africa, Earth Syst. Sci. Data, 12-3001-2020, https://doi.org/10.5194/essd-12-3001-2020.
description: Three datasets are shared here.Data format: vector (shapefile, polygon - LC datasets), vector (shapefile, point - validation dataset),Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326),Projected coordinate system (validation data): Africa Albers Equal Area Conic (EPSG:102022),Minimum mapping unit: 0.5-5ha.Land cover dataset attributes:[mapcode_A] - dichotomous level,[mapcode_B] - modular level (Mapcode),[name_B] - corresponding modular class name.Validation dataset attributes:[plaus2016] - modular level (Mapcode),The naming of all attributes follow the same structure in all shapefiles - see Table 2 Dichotomous and Modular thematic land cover/use classes in the corresponding publication.
DOI: 10.1594/pangaea.921485
title: Mario Zucchelli Radar, Disdrometric and snow gauge measurements during summer precipitation events (2017-12)
DOI: 10.1594/pangaea.921486
title: Mario Zucchelli Radar, Disdrometric and snow gauge measurements during summer precipitation events (2018-01)
DOI: 10.15468/dl.fgc0vx
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Saisie de données naturalistes d'observateurs indépendants sur la plateforme de l'Observatoire FAUNA-Données naturalistes de Thomas RUYS"
 ]
}

 The dataset includes 28 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024856-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.921252
title: Amphibious seismic refraction and wide-angle data recorded along profile P01 of RV METEOR cruise M69/2 in the Alboran Sea

description: In August and September of 2006 the seismic WESTMED project was conducted in the Western Mediterranean aboard the German RV "Meteor" during the cruise M69/2. Profile 01 (p01) was recorded sucessfully in the Alboran Sea on 11 onshore stations and 16 offshore stations (ocean-bottom seismometers and hydrophones - OBS/OBH). The offshore stations were distributed every 4.5 km. Shoots were fired offshore along a ~150 km line, using two 32-litres BOLT air-guns array operated at 140 bar, fired every 60 s (~200 m). Total length of the seismic line is 360 km, running from the Gulf of Almeria, Spain southward approaching Morocco. Seismic segy data are reduced at 6 km/s. Please note that records from landstations start at 0 sec while OBS and OBH start at -2 sec.
DOI: 10.1594/pangaea.921487
title: Mario Zucchelli Radar, Disdrometric and snow gauge measurements during summer precipitation events (2018-11)
DOI: 10.15468/dl.4yxbve
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidaploa diazlunana (B.L.Turner) H.Rob."
 ]
}

 The dataset includes 12 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028888-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.921488
title: Mario Zucchelli Radar, Disdrometric and snow gauge measurements during summer precipitation events (2018-12)
DOI: 10.1594/pangaea.921489
title: Mario Zucchelli Radar, Disdrometric and snow gauge measurements during summer precipitation events (2019-01)
DOI: 10.1594/pangaea.921498
title: Laboratory simulation of retrogressive thaw slumps

description: Over the last decades, the ice-rich permafrost (with ice wedges and massive ice) of Central Yakutia (Eastern Siberia) was highly vulnerable and prone to extensive degradation named thermokarst. The presence of large scale thermokarst slumps were observed whose name is Retrogressive thaw slumps. Here, we present results of a full-scale physical modelling of such retrogressive thaw slumps in a cold room. We used the cold-room at the GEOPS laboratory (CNRS/University of Paris Saclay, France) dedicated to the physical modelling in periglacial geomorphology. These experiments were instrumented using temperature sensors to survey the freezing and thawing front vs. time. Our results show that heterogeneous frozen soil with ice wedges undergoes a strong decohesion of its structure during the thawing phase and an easier circulation of warm air.Data were collected using a rectangular box of 2.5 m x 2.5 m wide and 0.5 m depth in which a ground surface of fine sand (D50 = 200 µm; Wp (max) = 20 %) materials was saturated with water.These experiments were instrumented using 10 temperature sensors (platinum resistance thermometers Pt100 with ±0.1°C accuracy) to survey the freezing and thawing front vs. time. All data are in °C and registered in a data-logger.During each simulation, we also analyzed the development of associated thermokarst degradation landforms using time-lapse photography with a video camera.File name thermokarst1: Time-lapse of the RTS experiment with artificial ice wedges (experiment 1).File name thermokarst 2: RTS experiment with icy layers (experiment 2).
DOI: 10.1594/pangaea.920585
title: Physical oceanography from glider mission IFM02-depl13

description: Netcdf file created from GEOMAR processed glider data. Based on data from file ifm02_depl13_final_gridded.mat . Glider deployment ID : ifm02_depl13 start: 2010-10-24 area: 8N, 23W
DOI: 10.1594/pangaea.920586
title: Physical oceanography from glider mission IFM02_depl14

description: Netcdf file created from GEOMAR processed glider data. Based on data from file ifm02_depl14_final_gridded.mat . Glider deployment ID : ifm02_depl14 start: 2011-05-08 area: Equator 10W
DOI: 10.1594/pangaea.920587
title: Physical oceanography from glider mission IFM02_depl15

description: Netcdf file created from GEOMAR processed glider data. Based on data from file ifm02_depl15_final_gridded.mat . Glider deployment ID : ifm02/deepy deployment number 15 in May 2011 in the equatorial Atlantic
DOI: 10.15468/dl.om2fzv
title: Occurrence Download

description: A dataset containing 1778 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is CardObs : Observations naturalistes issues de l'outil CardObs-Données naturalistes de Thomas LEBARD"
 ]
}

 The dataset includes 1778 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024852-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.920588
title: Physical oceanography from glider mission IFM02_depl16

description: Netcdf file created from GEOMAR processed glider data. Based on data from file ifm02_depl16_final_gridded.mat . Glider deployment ID : ifm02/deepy deployment number 16 in June 2011 in the equatorial Atlantic
DOI: 10.1594/pangaea.920589
title: Physical oceanography from glider mission IFM02_depl21

description: Netcdf file created from GEOMAR processed glider data. Based on data from file ifm02_depl21_final_gridded.mat . Glider deployment ID : ifm02_depl21 start: 2014-03-21 area: 14N, 20W
DOI: 10.15468/dl.cp3kbz
title: Occurrence Download

description: A dataset containing 33258 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hyla meridionalis Boettger, 1874"
 ]
}

 The dataset includes 33258 records from 374 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0307763-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.