cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17046216
title: Table 1 in New insight in the determination of thermodynamic equilibrium thickness using heat budget over Barents Sea

description: Table 1 — Validation of atmospheric variables with their R, biases and RMSE
VariableRetrieved fromValidation with *RBiasRMSETemperature (K)ERA-5N-ICE2015 (ref. 30)0.96+3.405.30DAMOCLES (ref. 31)0.74+0.512.61Specific humidity (kg kg- 1)N-ICE 2015 (ref. 30)0.980.000.50DAMOCLES (ref. 31)0.56+0.400.75V-wind (ms- 1)N-ICE 2015 (ref. 30)0.92+0.401.40DAMOCLES (ref. 31)0.71+0.431.80Pressure (hPa)RAOBCORE (ref. 32)N. A+1.66N. ANet radiation at the top of the atmosphere (Wm- 2)CERES and CAVE (ref. 33)0.94-18.5226.95Net heat flux at the Earth’s surface (Wm- 2)N-ICE 2015 (ref. 30)0.32-14.0032.00Top net thermal radiation (Wm- 2)MERRA – 2 (ref. 34)0.70+5.00N. ATop net solar radiation (Wm- 2)NIBIO - CMP11 or CMP13 pyranometers (ref. 35)0.99+4.1010.20Ocean heat content (J)NOAAIn-situ observation (2006 - 2015) (ref. 36)N. A±0.100.61CERES EBAF EEI (ref. 37)0.44N. A0.40
*N-ICE2015 - Norwegian Young Sea-ice cruise, DAMOCLES - Developing Arctic Modeling and Observing Capabilities for Long-term Environmental Studies, RAOBCORE - RAdiosone OBservation COrrection using Reanalyses, CERES - Clouds and the Earth’s Radiant Energy System, CAVE - CERES ARM Validation Experiment, MERRA - Modern Era Retrospective-Analysis for Research and Applications, NIBIO - Norwegian Institute of Bioeconomy Research, CMP11 or CMP13 - Kyoto Protocol, EBAF - Energy Balanced and Filled, and EEI - Earth's energy imbalance
description: Published as part of Panicker, D V, Vachharajani, B, Srivastava, R & Oza, S R, 2022, New insight in the determination of thermodynamic equilibrium thickness using heat budget over Barents Sea, pp. 880 in Indian Journal of Geo Marine Sciences 51 (11) on page 880, DOI: 10.56042/ijms.v51i11.3504, http://zenodo.org/record/11656997
DOI: 10.5281/zenodo.17046218
title: Table 2 in New insight in the determination of thermodynamic equilibrium thickness using heat budget over Barents Sea

description: Table 2 — Validation of sea ice parameters with their R, biases and RMSE
VariableRetrieved fromValidation with *RBiasRMSESea ice Area (km 2)CryoSat-2 and EnvisatDMSP-F8 SSM/I (ref.37)0.990.07× 1060.05× 106Sea ice Extent (km 2)DMSP-F8 SSM/I (ref. 37)0.990.05× 1060.09× 106Sea ice Thickness (m)ICESat (ref. 38)N. A0.14-0.510.04-0.06
*DMSP - Defense Meteorological Satellite Program -F8, -F11 and -F13, SSM/Is - Special Sensor Microwave/Imagers (SSM/Is), and the DMSP-F17 Special Sensor Microwave Imager/Sounder (SSMIS), and ICESat - Ice, Cloud and land Elevation Satellite
description: Published as part of Panicker, D V, Vachharajani, B, Srivastava, R & Oza, S R, 2022, New insight in the determination of thermodynamic equilibrium thickness using heat budget over Barents Sea, pp. 880 in Indian Journal of Geo Marine Sciences 51 (11) on page 880, DOI: 10.56042/ijms.v51i11.3504, http://zenodo.org/record/11656997
DOI: 10.5281/zenodo.17046219
title: Table 2 in New insight in the determination of thermodynamic equilibrium thickness using heat budget over Barents Sea

description: Table 2 — Validation of sea ice parameters with their R, biases and RMSE
VariableRetrieved fromValidation with *RBiasRMSESea ice Area (km 2)CryoSat-2 and EnvisatDMSP-F8 SSM/I (ref.37)0.990.07× 1060.05× 106Sea ice Extent (km 2)DMSP-F8 SSM/I (ref. 37)0.990.05× 1060.09× 106Sea ice Thickness (m)ICESat (ref. 38)N. A0.14-0.510.04-0.06
*DMSP - Defense Meteorological Satellite Program -F8, -F11 and -F13, SSM/Is - Special Sensor Microwave/Imagers (SSM/Is), and the DMSP-F17 Special Sensor Microwave Imager/Sounder (SSMIS), and ICESat - Ice, Cloud and land Elevation Satellite
description: Published as part of Panicker, D V, Vachharajani, B, Srivastava, R & Oza, S R, 2022, New insight in the determination of thermodynamic equilibrium thickness using heat budget over Barents Sea, pp. 880 in Indian Journal of Geo Marine Sciences 51 (11) on page 880, DOI: 10.56042/ijms.v51i11.3504, http://zenodo.org/record/11656997
DOI: 10.5281/zenodo.17046220
title: Table 3 in New insight in the determination of thermodynamic equilibrium thickness using heat budget over Barents Sea

description: Table 3 — Monthly and yearly averages of the atmospheric energy budget of Barents Sea calculated for the span of 2002 – 2020
MonthsCT (x 104) p∅ (× 104)Lq (Latent heat ofK (Kinetic-∇ ∙ FΑRtopFsfcƟ𝐴 H(Specific Heat(Surfaceevaporation andEnergy)(Convergence(Net radiation(Net radiation atƟ𝑡andGeopotentiSpecificof atmosphereat the top ofthe top of(Change inTemperature)al)humidity)energy transport)atmosphere)atmosphere)atmosphere energy storage with time)Jan25.3944.0509.600.62107.0800.23-0.69106.62Feb24.7144.0909.570.60111.4501.07-0.65111.87Mar25.7744.8409.480.60111.3203.80-0.64114.49Apr26.9746.5109.820.5090.8708.76-0.54099.08May27.6447.8609.940.3966.5113.77-0.54079.74Jun28.0848.7309.970.3489.1916.19-0.45104.93Jul27.9848.8409.960.3393.9814.92-0.35108.56Aug27.3248.0210.020.3498.0110.53-0.23108.32Sep26.0346.3410.150.44105.9905.34-0.14111.20Oct24.9144.4610.180.51113.8601.76-0.38115.24Nov24.1842.9709.610.57105.5400.39-0.59105.34Dec25.1842.9009.250.60111.2500.11-0.64110.72
description: Published as part of Panicker, D V, Vachharajani, B, Srivastava, R & Oza, S R, 2022, New insight in the determination of thermodynamic equilibrium thickness using heat budget over Barents Sea, pp. 882 in Indian Journal of Geo Marine Sciences 51 (11) on page 882, DOI: 10.56042/ijms.v51i11.3504, http://zenodo.org/record/11656997
DOI: 10.5281/zenodo.17046221
title: Table 3 in New insight in the determination of thermodynamic equilibrium thickness using heat budget over Barents Sea

description: Table 3 — Monthly and yearly averages of the atmospheric energy budget of Barents Sea calculated for the span of 2002 – 2020
MonthsCT (x 104) p∅ (× 104)Lq (Latent heat ofK (Kinetic-∇ ∙ FΑRtopFsfcƟ𝐴 H(Specific Heat(Surfaceevaporation andEnergy)(Convergence(Net radiation(Net radiation atƟ𝑡andGeopotentiSpecificof atmosphereat the top ofthe top of(Change inTemperature)al)humidity)energy transport)atmosphere)atmosphere)atmosphere energy storage with time)Jan25.3944.0509.600.62107.0800.23-0.69106.62Feb24.7144.0909.570.60111.4501.07-0.65111.87Mar25.7744.8409.480.60111.3203.80-0.64114.49Apr26.9746.5109.820.5090.8708.76-0.54099.08May27.6447.8609.940.3966.5113.77-0.54079.74Jun28.0848.7309.970.3489.1916.19-0.45104.93Jul27.9848.8409.960.3393.9814.92-0.35108.56Aug27.3248.0210.020.3498.0110.53-0.23108.32Sep26.0346.3410.150.44105.9905.34-0.14111.20Oct24.9144.4610.180.51113.8601.76-0.38115.24Nov24.1842.9709.610.57105.5400.39-0.59105.34Dec25.1842.9009.250.60111.2500.11-0.64110.72
description: Published as part of Panicker, D V, Vachharajani, B, Srivastava, R & Oza, S R, 2022, New insight in the determination of thermodynamic equilibrium thickness using heat budget over Barents Sea, pp. 882 in Indian Journal of Geo Marine Sciences 51 (11) on page 882, DOI: 10.56042/ijms.v51i11.3504, http://zenodo.org/record/11656997
DOI: 10.5281/zenodo.17046222
title: Table 4 in New insight in the determination of thermodynamic equilibrium thickness using heat budget over Barents Sea

description: Table 4 — Monthly cycle of OE, ttr and tsr of Barents Sea
MonthsO(×108) ΕttrtsrJan1.06-6.090.11Feb0.98-6.150.52Mar0.35-6.241.90Apr0.05-6.644.42May0.72-7.147.37Jun1.72-7.529.20Jul2.79-7.748.58Aug3.88-7.535.81Sep4.26-7.142.87Oct3.57-6.680.92Nov2.93-6.310.18Dec1.98-6.140.05
description: Published as part of Panicker, D V, Vachharajani, B, Srivastava, R & Oza, S R, 2022, New insight in the determination of thermodynamic equilibrium thickness using heat budget over Barents Sea, pp. 882 in Indian Journal of Geo Marine Sciences 51 (11) on page 882, DOI: 10.56042/ijms.v51i11.3504, http://zenodo.org/record/11656997
DOI: 10.5281/zenodo.17046223
title: Table 4 in New insight in the determination of thermodynamic equilibrium thickness using heat budget over Barents Sea

description: Table 4 — Monthly cycle of OE, ttr and tsr of Barents Sea
MonthsO(×108) ΕttrtsrJan1.06-6.090.11Feb0.98-6.150.52Mar0.35-6.241.90Apr0.05-6.644.42May0.72-7.147.37Jun1.72-7.529.20Jul2.79-7.748.58Aug3.88-7.535.81Sep4.26-7.142.87Oct3.57-6.680.92Nov2.93-6.310.18Dec1.98-6.140.05
description: Published as part of Panicker, D V, Vachharajani, B, Srivastava, R & Oza, S R, 2022, New insight in the determination of thermodynamic equilibrium thickness using heat budget over Barents Sea, pp. 882 in Indian Journal of Geo Marine Sciences 51 (11) on page 882, DOI: 10.56042/ijms.v51i11.3504, http://zenodo.org/record/11656997
DOI: 10.5281/zenodo.17046224
title: Table 5 in New insight in the determination of thermodynamic equilibrium thickness using heat budget over Barents Sea

description: Table 5 — Monthly life cycle of sea-ice represented by SIA, SIE and SIT over Barents Sea
MonthsSIA (× 105)SIE (× 105)SITJan3.445.120.60Feb4.236.140.70Mar4.846.860.83Apr4.486.540.84May2.984.73-Jun1.342.56-Jul0.360.81-Aug0.100.26-Sep0.070.17-Oct0.360.72-Nov1.242.000.34Dec2.313.590.42
description: Published as part of Panicker, D V, Vachharajani, B, Srivastava, R & Oza, S R, 2022, New insight in the determination of thermodynamic equilibrium thickness using heat budget over Barents Sea, pp. 885 in Indian Journal of Geo Marine Sciences 51 (11) on page 885, DOI: 10.56042/ijms.v51i11.3504, http://zenodo.org/record/11656997
DOI: 10.5281/zenodo.17046225
title: Table 5 in New insight in the determination of thermodynamic equilibrium thickness using heat budget over Barents Sea

description: Table 5 — Monthly life cycle of sea-ice represented by SIA, SIE and SIT over Barents Sea
MonthsSIA (× 105)SIE (× 105)SITJan3.445.120.60Feb4.236.140.70Mar4.846.860.83Apr4.486.540.84May2.984.73-Jun1.342.56-Jul0.360.81-Aug0.100.26-Sep0.070.17-Oct0.360.72-Nov1.242.000.34Dec2.313.590.42
description: Published as part of Panicker, D V, Vachharajani, B, Srivastava, R & Oza, S R, 2022, New insight in the determination of thermodynamic equilibrium thickness using heat budget over Barents Sea, pp. 885 in Indian Journal of Geo Marine Sciences 51 (11) on page 885, DOI: 10.56042/ijms.v51i11.3504, http://zenodo.org/record/11656997
DOI: 10.15468/dl.dsm3xe
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crambe hispanica",
 "Country is Belarus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022333-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17045973
title: Datasets, web pages, and list of abbreviations regarding Toponymic Cultural Landscape, TCL) and the paper "Toponymy, landscape and its dynamics at a local scale: analysis using GIS and geostatistics"

description: This file contains the links to the dataset employed in the paper "Toponymy, landscape and its dynamics at a local scale: analysis using GIS and geostatistics," that presents an innovative methodological framework that integrates GIS-based analysis and statistical tools to explore the relationship between landscape classification and the semantic dimension of place names. Using the comarca (region) of Urola-Kosta (Basque Country, Spain) as a case study, and employing high-resolution open data provided by public administrations, we show how toponymy can act as a cultural and historical palimpsest, complementing conventional approaches to landscape analysis. The novelty of our research lies in the combined use of texture and density metrics applied to place names, which offers replicable indicators for landscape characterization. 



Beyond the methodological contribution, the study reinforces the concept of the Toponymic Cultural Landscape (TCL), highlighting the role of place names as both descriptors of landscape and repositories of cultural memory, thereby linking intangible heritage with spatial analysis. While focused on a northern Spanish Atlantic landscape, the methodology can be readily applied to other geographical contexts, making it relevant to a wide international readership.
DOI: 10.5281/zenodo.17045974
title: Datasets, web pages, and list of abbreviations regarding Toponymic Cultural Landscape, TCL) and the paper "Toponymy, landscape and its dynamics at a local scale: analysis using GIS and geostatistics"

description: This file contains the links to the dataset employed in the paper "Toponymy, landscape and its dynamics at a local scale: analysis using GIS and geostatistics," that presents an innovative methodological framework that integrates GIS-based analysis and statistical tools to explore the relationship between landscape classification and the semantic dimension of place names. Using the comarca (region) of Urola-Kosta (Basque Country, Spain) as a case study, and employing high-resolution open data provided by public administrations, we show how toponymy can act as a cultural and historical palimpsest, complementing conventional approaches to landscape analysis. The novelty of our research lies in the combined use of texture and density metrics applied to place names, which offers replicable indicators for landscape characterization. 



Beyond the methodological contribution, the study reinforces the concept of the Toponymic Cultural Landscape (TCL), highlighting the role of place names as both descriptors of landscape and repositories of cultural memory, thereby linking intangible heritage with spatial analysis. While focused on a northern Spanish Atlantic landscape, the methodology can be readily applied to other geographical contexts, making it relevant to a wide international readership.
DOI: 10.34658/rdb.riknvz/7fqnqr
title: FOR_Summary.tab

description: :unav
DOI: 10.34658/rdb.riknvz/hgim2i
title: SOR_Summary.tab

description: :unav
DOI: 10.34658/rdb.riknvz/ntadip
title: COF_Summary.tab

description: :unav
DOI: 10.34658/rdb.riknvz/2krdur
title: Final Mass Balance (version 1).tab

description: :unav
DOI: 10.34658/rdb.riknvz/f5pnrr
title: OXY_Summary.tab

description: :unav
DOI: 10.34658/rdb.riknvz/o4qiy2
title: SOS_Summary.tab

description: :unav
DOI: 10.34658/rdb.riknvz
title: Assessments of sustainable chemicals and bioenergy potentials of selected lignocellulosic biomass feedstocks in Poland via physicochemical characterisation and pyrolysis

description: Data shows five common Poland-based lignocellulosic biomass feedstocks - oxytree trimmings, pinewood sawdust, vegetal sorghum, coffee waste, and mixed forestry residues were selected for detailed characterisation and intermediate pyrolysis to assess their sustainable chemicals and bioenergy potentials.
DOI: 10.24355/dbbs.084-202508211140-0
title: MACE - Mass Spectra for Chemical Ecology (Release 8)

description: Mass spectral libraries of EI-mass spectra are an essential tool for the structure elucidation of unknown natural products by GC/MS. Unfortunately, published spectra of many compounds are usually available only as figures, making it quite challenging to integrate them into local user libraries. Therefore, we publish here a library of high-quality downloadable mass spectra in text format that can be incorporated into local spectral databases. The spectra originate from publications referenced in the entries and are not commonly found in the commercial database NIST 17 at the time of publication. Compounds are included only if the spectra are from synthetic or isolated material or are otherwise unambiguously proven, including their derivatives. Entries are verified for validity before being integrated into the database. The compound list is continuously extended with spectra submitted by the community and digitized spectra from the literature. Submission of additional spectra by e-mail is encouraged. The data will be published in revisions, which will appear at irregular intervals. The focus of the spectra is on compounds useful in Chemical Ecology, including microbial volatiles and non-polar lipids. Still, the spectra may also be helpful in related fields such as food chemistry or metabolomics. The content is a focused add-on library of high-quality mass spectral data for use in GC/MS. Additionally, full functional libraries for Shimadzu and MSSearch are also included, together with compound structures in the latter.
DOI: 10.15468/dl.ggtr9y
title: Occurrence Download

description: A dataset containing 5457 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achyranthes aspera",
 "Geometry POLYGON ((-17.62504 -34.81917, 51.13387 -34.81917, 51.13387 37.34999, -17.62504 37.34999, -17.62504 -34.81917))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5457 records from 161 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022334-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q8vwtd
title: Occurrence Download

description: A dataset containing 192 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Senna pistaciifolia picta"
 ]
}

 The dataset includes 192 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022336-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8mte2y
title: Occurrence Download

description: A dataset containing 75816 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Hippuris vulgaris"
 ]
}

 The dataset includes 75816 records from 782 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022263-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.l7gauc
title: Occurrence Download

description: A dataset containing 705194 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Human Observation"
 ]
 },
 "Year 1980-2019",
 "HasCoordinate is true",
 "TaxonKey is Urtica dioica L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 705194 records from 879 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024995-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v9cshx
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Peperomia veneciana Trel. & Yunck."
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0184236-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.svevgr
title: Occurrence Download

description: A dataset containing 29041 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Thomasomys baeops (Thomas, 1899)",
 "TaxonKey is Sigmodon hispidus Say & Ord, 1825",
 "TaxonKey is Nephelomys albigularis (Tomes, 1860)",
 "TaxonKey is Thomasomys aureus (Tomes, 1860)",
 "TaxonKey is Sigmodon alstoni (Thomas, 1881)",
 "TaxonKey is Transandinomys talamancae (J.A.Allen, 1891)",
 "TaxonKey is Oreoryzomys balneator (Thomas, 1900)",
 "TaxonKey is Nectomys squamipes (Brants, 1827)",
 "TaxonKey is Neacomys spinosus (Thomas, 1882)",
 "TaxonKey is Tylomys nudicaudus (Peters, 1866)",
 "TaxonKey is Microryzomys minutus (Tomes, 1860)"
 ]
 },
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 29041 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000521-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.40vqn7
title: Occurrence Download

description: A dataset containing 399830 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cetacea"
 ]
}

 The dataset includes 399830 records from 448 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011157-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jta3dm
title: Occurrence Download

description: A dataset containing 9103 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Noctilionidae",
 "Continent is one of (North America, South America)"
 ]
}

 The dataset includes 9103 records from 209 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058018-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.57y6a5
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Androsace vitaliana subsp. sesleri (Buser ex Sünd.) Kress"
 ]
}

 The dataset includes 14 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0178670-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gg0r1p
title: Occurrence Download

description: A dataset containing 433 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sorghum versicolor Andersson"
 ]
}

 The dataset includes 433 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000521-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ghawcj
title: Occurrence Download

description: A dataset containing 1108 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Mauritiella aculeata (Kunth) Burret, Mauritia amazonica Barb.Rodr., Mauritia cataractarum (Dugand) Balick, Mauritia limnophylla Barb.Rodr., Mauritiella cataractarum Dugand, Mauritia gracile Wallace)"
 ]
}

 The dataset includes 1108 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122435-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uc2vje
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thesium micropogon A.DC."
 ]
}

 The dataset includes 15 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122437-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qkxqbn
title: Occurrence Download

description: A dataset containing 642 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Teijsmanniodendron bogoriense Koord."
 ]
}

 The dataset includes 642 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122438-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yhb9aa
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Taraxacum complicatum Soest"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122439-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.