cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.beqju9
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Galium aparine",
 "Year 1970-2000"
 ]
}

 The dataset includes 84 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008513-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vfpgwn
title: Occurrence Download

description: A dataset containing 758 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lappula consanguinea"
 ]
}

 The dataset includes 758 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008514-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.azdrv8
title: Occurrence Download

description: A dataset containing 1774 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lappula echinata"
 ]
}

 The dataset includes 1774 records from 147 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008515-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zh6jf7
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.25.81_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 51 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008516-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14494888
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.18153457
title: Data for "Response of Aerosols and Tropospheric Gases to Wildfire Emission Scenarios"

description: Data and Jupyter notebooks (python) reproducing the findings of the study:



Petrakis, M.P.; Boleti, E.; Mourgela, R.-N.; Seiradakis, K.; Roșu, I.A.; Voulgarakis, A. Response of Aerosols and Tropospheric Gases to Wildfire Emission Scenarios. Environ. Earth Sci. Proc. 2025, 35, 16. https://doi.org/10.3390/eesp2025035016 


This study utilizes the EC-Earth3 Earth System Model [1] to investigate how interannual variability in biomass burning (BB) emissions influences variability in total aerosol optical depth (AOD), as well as carbon monoxide (CO) and ozone (O$_3$) tropospheric columns.  Hindcast simulations were conducted spanning 1997 - 2006 with EC-Earth3 in its atmosphere-only configuration (EC-Earth3-AerChem) [2] under three BB scenarios:



base: BB emissions enabled

mean: BB emissions with seasonal but no interannual variability

zero: BB emissions nullified 


Hindcasts utilized BB emissions as specified for the historical simulations of the Coupled Model Intercomparison Project Phase 6 (BB4CMIP6) [3]. We demonstrate (in notebook 02-Plot-AOD-CO-O3.ipynb) that fluctuations in biomass burning emissions impact AOD, CO, and O$_3$ variability at regional and global scales.

The archive contains the following output variables for all scenarios:




Variable
Description
Units


areacella
Model grid cell area
m$^2$


airmass
Airmass at model levels
kg/m$^2$


co
Volume mixing ratio of carbon monoxide (CO) at model levels
mole/mole


od550aer
Aerosol optical depth (AOD) at 550 nm
dimensionless


od550bc
Black carbon (BC) AOD at 550 nm
dimensionless


phalf
Air pressure on model half-levels
Pa


ptp
Thermal tropopause pressure
Pa


tropoz
Tropospheric ozone column
Dobson Units (DU)




 

References

[1] Döscher, Ralf, Mario Acosta, Andrea Alessandri, et al. “The EC-Earth3 Earth System Model for the Coupled Model Intercomparison Project 6.” Geoscientific Model Development 15, no. 7 (2022): 2973–3020. https://doi.org/10.5194/gmd-15-2973-2022.

[2] Noije, Twan van, Tommi Bergman, Philippe Le Sager, et al. “EC-Earth3-AerChem: A Global Climate Model with Interactive Aerosols and Atmospheric Chemistry Participating in CMIP6.” Geoscientific Model Development 14, no. 9 (2021): 5637–68. https://doi.org/10.5194/gmd-14-5637-2021.

[3] Marle, Margreet J. E. van, Silvia Kloster, Brian I. Magi, et al. “Historic Global Biomass Burning Emissions for CMIP6 (BB4CMIP) Based on Merging Satellite Observations with Proxies and Fire Models (1750–2015).” Geoscientific Model Development 10, no. 9 (2017): 3329–57. https://doi.org/10.5194/gmd-10-3329-2017.
DOI: 10.5281/zenodo.18153458
title: Data for "Response of Aerosols and Tropospheric Gases to Wildfire Emission Scenarios"

description: Data and Jupyter notebooks (python) reproducing the findings of the study:



Petrakis, M.P.; Boleti, E.; Mourgela, R.-N.; Seiradakis, K.; Roșu, I.A.; Voulgarakis, A. Response of Aerosols and Tropospheric Gases to Wildfire Emission Scenarios. Environ. Earth Sci. Proc. 2025, 35, 16. https://doi.org/10.3390/eesp2025035016 


This study utilizes the EC-Earth3 Earth System Model [1] to investigate how interannual variability in biomass burning (BB) emissions influences variability in total aerosol optical depth (AOD), as well as carbon monoxide (CO) and ozone (O$_3$) tropospheric columns.  Hindcast simulations were conducted spanning 1997 - 2006 with EC-Earth3 in its atmosphere-only configuration (EC-Earth3-AerChem) [2] under three BB scenarios:



base: BB emissions enabled

mean: BB emissions with seasonal but no interannual variability

zero: BB emissions nullified 


Hindcasts utilized BB emissions as specified for the historical simulations of the Coupled Model Intercomparison Project Phase 6 (BB4CMIP6) [3]. We demonstrate (in notebook 02-Plot-AOD-CO-O3.ipynb) that fluctuations in biomass burning emissions impact AOD, CO, and O$_3$ variability at regional and global scales.

The archive contains the following output variables for all scenarios:




Variable
Description
Units


areacella
Model grid cell area
m$^2$


airmass
Airmass at model levels
kg/m$^2$


co
Volume mixing ratio of carbon monoxide (CO) at model levels
mole/mole


od550aer
Aerosol optical depth (AOD) at 550 nm
dimensionless


od550bc
Black carbon (BC) AOD at 550 nm
dimensionless


phalf
Air pressure on model half-levels
Pa


ptp
Thermal tropopause pressure
Pa


tropoz
Tropospheric ozone column
Dobson Units (DU)




 

References

[1] Döscher, Ralf, Mario Acosta, Andrea Alessandri, et al. “The EC-Earth3 Earth System Model for the Coupled Model Intercomparison Project 6.” Geoscientific Model Development 15, no. 7 (2022): 2973–3020. https://doi.org/10.5194/gmd-15-2973-2022.

[2] Noije, Twan van, Tommi Bergman, Philippe Le Sager, et al. “EC-Earth3-AerChem: A Global Climate Model with Interactive Aerosols and Atmospheric Chemistry Participating in CMIP6.” Geoscientific Model Development 14, no. 9 (2021): 5637–68. https://doi.org/10.5194/gmd-14-5637-2021.

[3] Marle, Margreet J. E. van, Silvia Kloster, Brian I. Magi, et al. “Historic Global Biomass Burning Emissions for CMIP6 (BB4CMIP) Based on Merging Satellite Observations with Proxies and Fire Models (1750–2015).” Geoscientific Model Development 10, no. 9 (2017): 3329–57. https://doi.org/10.5194/gmd-10-3329-2017.
DOI: 10.5281/zenodo.18242312
title: Anredera cordifolia subsp. gracilis (Miers) Xifreda & Argimón. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18242311
title: Anredera cordifolia subsp. gracilis (Miers) Xifreda & Argimón. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.15468/dl.jxnfka
title: Occurrence Download

description: A dataset containing 754 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"IND.11.12_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 754 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008518-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13789643
title: Migration and Expulsion in the Reichsgau Wartheland

description: The dataset Hofzuweisungslisten.csv documents resettlement campaigns of Volhynian, Galician, and Narew Germans (stemming from regions in today's western Ukraine, western Belarus, and southern and eastern Poland) into former Polish territories, during 1939 and 1940. The dataset was derived from around 750 scanned pages containing mostly tabular data (see Preprocessing folder for more information). The orignial scans were downloaded from the state archive Łódź. In 1939/1940, the propaganda slogan Heim ins Reich (en: back home to the Reich) called upon numerous German-speaking population groups from Eastern and South-Eastern Europe to resettle in areas within the borders of the German Reich. However, the majority of these settlers were not granted land in the heartland but in the annexed territories. This "Germanization" of the east focused on formerly Polish territories, such as the Reichsgauen Wartheland ("Warthegau") and Danzig-West Prussia. However, before the settlers were granted any land, they were placed in camps and underwent racial profiling, which (in essence) ascertained their degree of "Germaness". If deemed insufficient, "inferior" settlers were deployed as cheap workforce in the heartland (Stephan Döring: Umsiedlung der Wolhyniendeutschen in den Jahren 1939 bis 1940). Conversly, the settlement of "racially acceptable" returnees was meticulously planned—often there were only a few hours between the expulsion of the former Polish owners from their farms and the arrival of the German settlers. Most of the expelled Poles were deported into the Generalgouvernement. The resettlement campaigns were administered by the "Volksdeutsche Mittelstelle" (Vomi). Coordination and documentation was realized through so-called "Hofzuweisungslisten" (en: farm allocation lists). These were preprinted tabular forms, including the date of settlement, the settlement village, the names and family size of the settlers as well as those of the expelled former inhabitants, the settlers' place of origin and the camp in which the settlers lived. The columns of preprints were filled using typewriters some days ahead of the relocation of a family from the camp to their new homestead.
description: Diese Arbeit ist im Rahmen der sächsischen Forschungsförderung entstanden.

Diese Arbeit ist im Rahmen des Konsortiums NFDI4Memory entstanden (www.4memory.de). Gefördert von der DFG, Projektnummer 50 1609550].
DOI: 10.5281/zenodo.14170202
title: Migration and Expulsion in the Reichsgau Wartheland

description: The dataset Hofzuweisungslisten.csv documents resettlement campaigns of Volhynian, Galician, and Narew Germans (stemming from regions in today's western Ukraine, western Belarus, and southern and eastern Poland) into former Polish territories, during 1939 and 1940. The dataset was derived from around 750 scanned pages containing mostly tabular data (see Preprocessing folder for more information). The orignial scans were downloaded from the state archive Łódź. In 1939/1940, the propaganda slogan Heim ins Reich (en: back home to the Reich) called upon numerous German-speaking population groups from Eastern and South-Eastern Europe to resettle in areas within the borders of the German Reich. However, the majority of these settlers were not granted land in the heartland but in the annexed territories. This "Germanization" of the east focused on formerly Polish territories, such as the Reichsgauen Wartheland ("Warthegau") and Danzig-West Prussia. However, before the settlers were granted any land, they were placed in camps and underwent racial profiling, which (in essence) ascertained their degree of "Germaness". If deemed insufficient, "inferior" settlers were deployed as cheap workforce in the heartland (Stephan Döring: Umsiedlung der Wolhyniendeutschen in den Jahren 1939 bis 1940). Conversly, the settlement of "racially acceptable" returnees was meticulously planned—often there were only a few hours between the expulsion of the former Polish owners from their farms and the arrival of the German settlers. Most of the expelled Poles were deported into the Generalgouvernement. The resettlement campaigns were administered by the "Volksdeutsche Mittelstelle" (Vomi). Coordination and documentation was realized through so-called "Hofzuweisungslisten" (en: farm allocation lists). These were preprinted tabular forms, including the date of settlement, the settlement village, the names and family size of the settlers as well as those of the expelled former inhabitants, the settlers' place of origin and the camp in which the settlers lived. The columns of preprints were filled using typewriters some days ahead of the relocation of a family from the camp to their new homestead.
description: Diese Arbeit ist im Rahmen der sächsischen Forschungsförderung entstanden.

Diese Arbeit ist im Rahmen des Konsortiums NFDI4Memory entstanden (www.4memory.de). Gefördert von der DFG, Projektnummer 50 1609550].
DOI: 10.5281/zenodo.18242316
title: Anthemideae Cass. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18242317
title: Anthemideae Cass. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.6084/m9.figshare.31064692
title: Dataset

description: Dataset
DOI: 10.6084/m9.figshare.31064692.v1
title: Dataset

description: Dataset
DOI: 10.15468/dl.cfcarn
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.25.82_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008520-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18242323
title: Anthemis L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18242324
title: Anthemis L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.15468/dl.wtg6vx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"IND.11.13_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008521-260108223611665/datasets/export for details.
DOI: 10.5281/zenodo.18242333
title: Anthemis cotula L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18242332
title: Anthemis cotula L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18242339
title: Anthenantia P.Beauv. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18242340
title: Anthenantia P.Beauv. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.15468/dl.r7bec3
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.26.1_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008522-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fsxk7c
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"IND.11.14_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 62 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008524-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31064698
title: Questionnaire of the study Dataset

description: Dental caries is a non-communicable chronic disease that leads to the progressive destruction of tooth structure (1). Despite being easily preventable, it remains a major global public health issue, particularly affecting children and adolescents (2). The distribution of caries is influenced by its etiology. The process begins sub-clinically with the accumulation of cariogenic bacteria in dental plaque, a transparent biofilm that forms on tooth surfaces from birth. These bacteria feed on fermentable carbohydrates, producing acids that dissolve and demineralize the tooth surface. Poor oral hygiene and a diet high in sugar lead to unchecked demineralization, resulting in cavities. If untreated, these cavities progressively damage the tooth structure (3). Regular oral hygiene practices, particularly using fluoridated toothpaste, can significantly reduce the incidence of dental caries (4).
DOI: 10.6084/m9.figshare.31064698.v1
title: Questionnaire of the study Dataset

description: Dental caries is a non-communicable chronic disease that leads to the progressive destruction of tooth structure (1). Despite being easily preventable, it remains a major global public health issue, particularly affecting children and adolescents (2). The distribution of caries is influenced by its etiology. The process begins sub-clinically with the accumulation of cariogenic bacteria in dental plaque, a transparent biofilm that forms on tooth surfaces from birth. These bacteria feed on fermentable carbohydrates, producing acids that dissolve and demineralize the tooth surface. Poor oral hygiene and a diet high in sugar lead to unchecked demineralization, resulting in cavities. If untreated, these cavities progressively damage the tooth structure (3). Regular oral hygiene practices, particularly using fluoridated toothpaste, can significantly reduce the incidence of dental caries (4).
DOI: 10.15468/dl.4z7qym
title: Occurrence Download

description: A dataset containing 9352 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lithospermum arvense"
 ]
}

 The dataset includes 9352 records from 289 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008525-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21979/n9/wpdjo6
title: Replication Data for: Ocean acidification in Southeast Asia: a multiannual time series of carbonate system variability in the central Sunda Shelf Sea

description: This dataset contains time series data and analysis codes for seawater carbonate system parameters and other ancillary biogeochemical and physical variables of seawater in the Singapore Strait
DOI: 10.15468/dl.sqmbus
title: Occurrence Download

description: A dataset containing 5592 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lappula redowskii"
 ]
}

 The dataset includes 5592 records from 189 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008523-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.