cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.920789
title: Physical oceanography from glider mission IFM10_depl01

description: Netcdf file created from GEOMAR processed glider data. Based on data from file ifm10_depl01_final_gridded.mat . Glider deployment ID : ifm10_depl01 start: 2010-03-12 area: Cape Verde
DOI: 10.1594/pangaea.921054
title: Topographic profiles (shapefile) from key-areas of the Lost River Fault (Idaho, USA), used for vertical separation measurements

description: This dataset contains a shape file of topographic profiles used for the vertical separation (VS) measurements from key-areas of the Lost River Fault, Idaho, USA.
DOI: 10.15468/dl.txpxpe
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calanthe carrii Govaerts"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113611-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.920790
title: Physical oceanography from glider mission IFM11_depl02

description: Netcdf file created from GEOMAR processed glider data. Based on data from file ifm11_depl02_final_gridded.mat . Glider deployment ID : ifm11_depl02 start: 2010-08-09 area: Cape Verde to 23W
DOI: 10.1594/pangaea.920791
title: Physical oceanography from glider mission IFM11_depl03

description: Netcdf file created from GEOMAR processed glider data. Based on data from file ifm11_depl03_final_gridded.mat . Glider deployment ID : ifm11_depl03 start: 2011-05-21 area: Equatorial Atlantic
DOI: 10.1594/pangaea.920792
title: Physical oceanography from glider mission IFM11_depl05

description: Netcdf file created from GEOMAR processed glider data. Based on data from file ifm11_depl05_final_gridded.mat . Glider deployment ID : ifm11_depl05 start: 2014-01-10 area: Cape Verde eddy hunt 1
DOI: 10.1594/pangaea.920793
title: Physical oceanography from glider mission IFM12_depl03

description: Netcdf file created from GEOMAR processed glider data. Based on data from file ifm12_depl03_final_gridded.mat . Glider deployment ID : ifm12 deployment number 3 in April 2014 southeast of Cape Verde
DOI: 10.15468/dl.wv6se2
title: Occurrence Download

description: A dataset containing 567 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Jatropha L.",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (United States of America, Canada)"
 ]
}

 The dataset includes 567 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0328478-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.920794
title: Physical oceanography from glider mission IFM14_depl03

description: Netcdf file created from GEOMAR processed glider data. Based on data from file ifm14_depl03_final_gridded.mat . Glider deployment ID : ifm14_depl03 start: 2017-01-13 area: Cape Verde
DOI: 10.1594/pangaea.921056
title: Topographic profile images from vertical separation analysis of key-areas of the Lost River Fault, (Idaho, USA)

description: This dataset contains 1295 topographic profiles (.pdf format) with their respective ID (same as in the related dataset "Topographic profiles" doi:10.1594/PANGAEA.920949) from vertical separation (VS) analysis in MATLAB. Each of these figures is provided with a legend and shows the VS measurements (in meters) of 1983 coseismic ruptures and Quaternary fault scarps acquired on each of the profiles.
DOI: 10.15468/dl.ymoxly
title: Occurrence Download

description: A dataset containing 2500 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Canis lupus baileyi Nelson & Goldman, 1929"
 ]
}

 The dataset includes 2500 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048995-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.920809
title: Manovo-Gounda-St Floris-Bamingui Key Landscape for Conservation Land Cover and Validation Datasets (2015)

description: The Manovo-Gounda-St Floris-Bamingui land cover dataset covers an area of 96965km2 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 (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 4225 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: [plaus2015] - 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.921087
title: Mapped polygon pattern geomorphometry from HRSC-AX, 2009, Adventdalen, Svalbard

description: Polygonal systems formed by thermal contraction cracking are complex landscape features widespread in terrestrial periglacial regions. The manner in which cracking occurs is controlled by various environmental factors and determines dimension, shape, and orientation of polygons. We studied the geomorphometry of polygonally-patterned ground on Svalbard to draw a terrestrial analogy to small-scale polygonal structures on Mars. We performed a comparative quantitative terrain analysis based on high-resolution stereo remote-sensing data (i.e., HRSC-AX, HiRISE) in combination with terrestrial field data and multivariate statistics to determine the relationship of polygon geomorphometry to local environmental conditions. Results show that polygonal structures on Svalbard and in Utopia Planitia, Mars, are similar with respect to their size and shape. A comparable thermal contraction cracking genesis is likely. Polygon evolution, however, is strongly related to regional and local landscape dynamics. Individual polygon dimensions and orthogonality vary according to age, thermal contraction cracking activity, and local subsurface conditions.This dataset contains polygonal network data from 8 sites on Svalbard in shapefile format:Act-IWS = Active Ice-Wedge site Adventdalen (AD1)AD2 to AD4 = Adventdalen sites 2 to 4IWS = Ice-wedge site AdventdalenCALM = Circumarctic Active-Layer Monitoring polygon site AdventdalenHCP = High Center Polygons site AdventdalenIsdammen = location Isdammen site AdventdalenDetailed information about methods and results can be found in the publication to which this dataset is a supplement (https://doi.org/10.1016/j.geomorph.2011.07.002).
description: Parameters included:area: area (A) [m²]perimeter: perimeter (P) [m]length: Length (L) largest diameter [m]width: Width (W) smallest diameter [m]thick_ra: Thickness ratio (Th) (The polygon area versus the area of its minimum bounding rectangle) [0 to 1]circular: Circularity (FF) = 4πA/P² [0 to 1]
DOI: 10.15468/dl.rugw7n
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calanthe chloroleuca Lindl."
 ]
}

 The dataset includes 16 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113632-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.921105
title: AAMSU-B and MHS TWV timeseries of coincident datapoints with 5 radiosonde/GPS stations

description: AMSU-B and MHS TWV timeseries of coincident datapoints with 5 radiosonde/GPS stations (Alert, Eureka, Ny Alesund, Resolute, Scorebysund). TWV values are taken as the mean of all TWV values in a 50km radius around the station and a maximum of 1h before or after the GPS measurements.
DOI: 10.1594/pangaea.921477
title: Mario Zucchelli Radar, Disdrometric and snow gauge measurements during summer precipitation events (2015-11)
DOI: 10.1594/pangaea.921106
title: Turbulence dissipation rate in the free atmosphere estimated from high-resolution radiosonde data over China from 2011 to 2018

description: This dataset contains the seasonal and annual mean turbulence dissipation rate (on a base-10 log scale) in the free atmosphere, which is calculated using Thorpe analysis, based on 8 years of high-resolution radiosonde measurements in China. The turbulence dissipation rate dataset includes 15 files, corresponding to three height intervals: the lower troposphere (LT), the upper troposphere (UT), and the lower stratosphere (LS), each of which has five subsets: spring (MAM), summer (JJA), autumn (SON), winter (DJF) and annual (ANN) averages. This dataset is named in the form of "Turbulence_Height interval_Season.hdf", in which "height interval" represents LT, UT and LS, whereas "Season" represents MAM, JJA, SON, DJF and ANN. Each file contains an array representing the horizontal distribution of seasonally and annually averaged turbulence dissipation rate at three different height intervals: including LT, UT and LS. The size of the array in each file is 81 (latitude of 15°N to 55°N)× 131 (longitude ranging from 70°E to 135°E) with a grid spacing of 0.5°. Note that the coordinate for the first grid (i.e., the upper leftmost grid) in each file is (15°N, 70°E).
DOI: 10.1594/pangaea.921107
title: Simulated change in the future carbon cycle under high CO2 emission and ocean alkalinization

description: The CO2 removal model inter-comparison (CDRMIP) has been established to approximate the usefulness of climate mitigation by some well defined negative emission technologies. I here analyze ocean alkalinization in a high CO2 world (emission scenario SSP5-85-EXT++ and CDR-ocean-alk within CDRMIP) for the next millennia using a revised version of the carbon cycle model BICYCLE, whose long-term feedbacks are calculated for the next 1 million years. The applied model version not only captures atmosphere, ocean and a constant marine and terrestrial biosphere, but also represents solid Earth processes, such as deep ocean CaCO3 accumulation and dissolution, volcanic CO2 outgassing and continental weathering. In the applied negative emission experiment, 0.14 Pmol/yr of alkalinity - comparable to the dissolution of 5 Pg of olivine per year — is entering the surface ocean starting in year 2020 for either 50 or 5000 years. I find that the cumulative emissions of 6740 PgC emitted until year 2350 lead to a peak atmospheric CO2 concentration of nearly 2400 ppm in year 2326, which is reduced by only 200 ppm by the alkalinization experiment. Atmospheric CO2 is brought down to 400 or 300 ppm after 2730 or 3480 years of alkalinization, respectively. Such low CO2 concentrations are reached without ocean alkalinization only after several hundreds of thousands of years, when the feedbacks from weathering and sediments bring the part of the anthropogenic emissions that stays in the atmosphere (the so-called airborne fraction) below 4%. The efficiency of carbon sequestration by this alkalinization approach peaks at 9.7 PgC per Pmol of alkalinity added during times of maximum anthropogenic CO2 emissions and slowly declines to half this value 2000 years later due to the non-linear marine chemistry response and ocean-sediment processes. In other words ocean alkalinization sequesters carbon only as long as the added alkalinity stays in the ocean. To understand the basic model behavior I analytically explain why in the simulation results a linear relationship in the transient climate response to cumulative emissions (TCRE) is found for low emissions (similarly as for more complex climate models), which evolves for high emissions to a non-linear relation.
DOI: 10.1594/pangaea.921478
title: Mario Zucchelli Radar, Disdrometric and snow gauge measurements during summer precipitation events (2015-12)
DOI: 10.15468/dl.xd4vpw
title: Occurrence Download

description: A dataset containing 9112 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cherleria laricifolia (L.) Iamonico"
 ]
}

 The dataset includes 9112 records from 192 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042026-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.921479
title: Mario Zucchelli Radar, Disdrometric and snow gauge measurements during summer precipitation events (2016-01)
DOI: 10.1594/pangaea.921480
title: Mario Zucchelli Radar, Disdrometric and snow gauge measurements during summer precipitation events (2016-11)
DOI: 10.1594/pangaea.921481
title: Mario Zucchelli Radar, Disdrometric and snow gauge measurements during summer precipitation events (2016-12)
DOI: 10.15468/dl.nfztho
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is SILENE-FAUNE-PACA - DREAL_PACA_-_N2000_-_Commune_de_Saint-Cyr-sur-Mer_2017_12_18"
 ]
}

 The dataset includes 24 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011102-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vcg5dh
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ambystoma leorae (Taylor, 1943)"
 ]
}

 The dataset includes 82 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113620-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.920845
title: The Salonga Key Landscape for Conservation Land Cover and Validation Datasets (2016)

description: The Salonga land cover dataset covers an area of 66625km2 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 1364 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.920847
title: Upemba Key Landscape for Conservation Land Cover and Validation Datasets (2016)

description: The Upemba land cover dataset covers an area of 47318km2 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 3786 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.921158
title: HLES projected changes study dataset

description: The dataset contains Heavy Lake Effect Snowfall (HLES) and related parameters from GEM outputs (RCP8.5, 10 km horizontal resolution, Laurentian Great Lakes region, driven by CanESM2 at the boundaries) and observation datasets. Observation data included are: interpolated to the model grid Daymet 2m air temperature and total precipitation, CIS-NIC ice concentration observations, and REA-Interim near-surface winds.
description: File format: NetCDFSimulated/analyzed periods: 1989-2010 (current) and 2079-2100 (future)The repository for the analysis code is attached.Entry scripts for the figures are:- figure1, 4: src/lake_effect_snow/hles_cc/plot_monthly_histograms_cc_and_domain.py- figure2(partially lake ice fraction), figure3: src/lake_effect_snow/hles_cc_validation/validate_hles_and_related_params_biases_and_obs.py- figure5: src/lake_effect_snow/hles_cc/plot_cc_2d_all_variables_for_all_periods_001.py- figure6: src/lake_effect_snow/hles_cc/hles_tt_and_pr_correlations_mean_ice_fraction.py- cold_air.m for part of Fig. 2 and hles_intensity.m for Fig. 7
DOI: 10.15468/dl.5pakqf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oreophryne equus Kraus, 2016"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0299149-210914110416597/datasets/export for details.
DOI: 10.1594/pangaea.920851
title: Lomami Key Landscape for Conservation Land Cover and Validation Datasets (2016)

description: The Lomami land cover dataset covers an area of 30924km2 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 3690 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.