cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8186736
title: The FORCIS database: A global census of planktonic Foraminifera from ocean waters

description: The FORCIS (Foraminifera Response to Climatic Stress) database is a synthesis grouping datasets on living planktonic foraminifera. We assembled foraminiferal diversity and distribution data in the global oceans from 1910 until 2018, curating published and unpublished datasets. This database includes data collected using plankton tows, continuous plankton recorder, sediment traps and plankton pump from the global ocean. The FORCIS database version 01 is composed of 5 files (“.csv” format). All data coming from different sampling devices were put into separate “.csv” files. Only the data of the CPR from the Southern Hemisphere have been separated from the Northern Hemisphere CPR data as the data structure is not the same (species counts resolved vs. binned total counts, respectively). Apart from the file of CPR data from the Northern Hemisphere that contains only metadata and binned total counts, all the remaining four files contain 4 blocks: Block 1: metadata (from column 1 to 71) Block 2: original counts (from column 72 to 274) Block 3: generated counts based on the validated taxonomy (from column 275 to 331). We added “_VT” to each species name to distinguish it from other taxonomy levels. E.g. “g_bulloides” became “g_bulloides_VT”. The number of species counted per subsample is also reported in the column “number_of_species_counted_VT” Block 4: generated counts based on the lumped taxonomy (from column 332 to 379). In this case, we added “_LT” to each species name. E.g. “n_dutertrei” became “n_dutertrei_VT”. We also calculated the number of species counted per subsample and reported it in the column “number_of_species_counted_LT” Foraminifera abundance data counts are reported in different categories in the blocks 1,2 and 3 and described in the table below: <strong>count_type</strong> <strong>unit</strong> Absolute ind/m3 Relative % Raw number of individuals Fluxes ind/m2/day Bin_Absolute ind/m3 Bin_Relative % Bin_Raw number of individuals Bin_Fluxes ind/m2/day For more details about the FORCIS database column description, please check the data descriptor paper <strong>Chaabane et al. (2023) (https://doi.org/10.1038/s41597-023-02264-2).</strong> The database is kept open for any new entries and the updated version will be released in csv format. The labels of updated versions of the released “.csv” files will contain the date of their publication and versioning number.
DOI: 10.5281/zenodo.8345072
title: The FORCIS database: A global census of planktonic Foraminifera from ocean waters

description: The FORCIS (Foraminifera Response to Climatic Stress) database is a synthesis grouping datasets on living planktonic foraminifera. We assembled foraminiferal diversity and distribution data in the global oceans from 1910 until 2018, curating published and unpublished datasets. This database includes data collected using plankton tows, continuous plankton recorder, sediment traps and plankton pump from the global ocean. The FORCIS database version 01 is composed of 5 files (“.csv” format). All data coming from different sampling devices were put into separate “.csv” files. Only the data of the CPR from the Southern Hemisphere have been separated from the Northern Hemisphere CPR data as the data structure is not the same (species counts resolved vs. binned total counts, respectively). Apart from the file of CPR data from the Northern Hemisphere that contains only metadata and binned total counts, all the remaining four files contain 4 blocks: Block 1: metadata (from column 1 to 71) Block 2: original counts (from column 72 to 274) Block 3: generated counts based on the validated taxonomy (from column 275 to 331). We added “_VT” to each species name to distinguish it from other taxonomy levels. E.g. “g_bulloides” became “g_bulloides_VT”. The number of species counted per subsample is also reported in the column “number_of_species_counted_VT” Block 4: generated counts based on the lumped taxonomy (from column 332 to 379). In this case, we added “_LT” to each species name. E.g. “n_dutertrei” became “n_dutertrei_VT”. We also calculated the number of species counted per subsample and reported it in the column “number_of_species_counted_LT” Foraminifera abundance data counts are reported in different categories in the blocks 1,2 and 3 and described in the table below: <strong>count_type</strong> <strong>unit</strong> Absolute ind/m3 Relative % Raw number of individuals Fluxes ind/m2/day Bin_Absolute ind/m3 Bin_Relative % Bin_Raw number of individuals Bin_Fluxes ind/m2/day For more details about the FORCIS database column description, please check the data descriptor paper <strong>Chaabane et al. (2023) (https://doi.org/10.1038/s41597-023-02264-2).</strong> The database is kept open for any new entries and the updated version will be released in csv format. The labels of updated versions of the released “.csv” files will contain the date of their publication and versioning number.
DOI: 10.5281/zenodo.10376575
title: The FORCIS database: A global census of planktonic Foraminifera from ocean waters

description: The FORCIS (Foraminifera Response to Climatic Stress) database is a synthesis grouping datasets on living planktonic foraminifera. We assembled foraminiferal diversity and distribution data in the global oceans from 1910 until 2018, curating published and unpublished datasets. This database includes data collected using plankton tows, continuous plankton recorder, sediment traps and plankton pump from the global ocean.


The FORCIS database version 01 is composed of 5 files (“.csv” format). All data coming from different sampling devices were put into separate “.csv” files. Only the data of the CPR from the Southern Hemisphere have been separated from the Northern Hemisphere CPR data as the data structure is not the same (species counts resolved vs. binned total counts, respectively).  


Apart from the file of  CPR data from the Northern Hemisphere that contains only metadata and binned total counts, all the remaining four files contain 4 blocks:



	

	
Block 1: metadata (from column 1 to 71)
	
	

	
Block 2: original counts (from column 72 to 274)
	
	

	
Block 3: generated counts based on the validated taxonomy (from column 275 to 331). We added “_VT” to each species name to distinguish it from other taxonomy levels. E.g. “g_bulloides” became “g_bulloides_VT”. The number of species counted per subsample is also reported in the column “number_of_species_counted_VT”
	
	

	
Block 4: generated counts based on the lumped taxonomy (from column 332 to 379). In this case, we added “_LT” to each species name. E.g. “n_dutertrei” became “n_dutertrei_VT”. We also calculated the number of species counted per subsample and reported it in the column “number_of_species_counted_LT”
	



Foraminifera abundance data counts are reported in different categories in the blocks 1,2 and 3 and described in the table below:



	
		
			
			
count_type
			
			
			
unit
			
		
		
			
			
Absolute
			
			
			
ind/m3
			
		
		
			
			
Relative
			
			
			
%
			
		
		
			
			
Raw
			
			
			
number of individuals
			
		
		
			
			
Fluxes
			
			
			
ind/m2/day
			
		
		
			
			
Bin_Absolute
			
			
			
ind/m3
			
		
		
			
			
Bin_Relative
			
			
			
%
			
		
		
			
			
Bin_Raw
			
			
			
number of individuals
			
		
		
			
			
Bin_Fluxes
			
			
			
ind/m2/day
			
		
	



 


For more details about the FORCIS database column description, please check the data descriptor paper Chaabane et al. (2023) (https://doi.org/10.1038/s41597-023-02264-2).


The database is kept open for any new entries and the updated version will be released in csv format. The labels of updated versions of the released “.csv” files will contain the date of their publication and versioning number.
DOI: 10.5281/zenodo.12685264
title: The FORCIS database: A global census of planktonic Foraminifera from ocean waters

description: The FORCIS (Foraminifera Response to Climatic Stress) database is a synthesis grouping datasets on living planktonic foraminifera. We assembled foraminiferal diversity and distribution data in the global oceans from 1910 until 2018, curating published and unpublished datasets. This database includes data collected using plankton tows, continuous plankton recorder, sediment traps and plankton pump from the global ocean.


The FORCIS database version 01 is composed of 5 files (“.csv” format). All data coming from different sampling devices were put into separate “.csv” files. Only the data of the CPR from the Southern Hemisphere have been separated from the Northern Hemisphere CPR data as the data structure is not the same (species counts resolved vs. binned total counts, respectively).  


Apart from the file of  CPR data from the Northern Hemisphere that contains only metadata and binned total counts, all the remaining four files contain 4 blocks:



	

	
Block 1: metadata (from column 1 to 71)
	
	

	
Block 2: original counts (from column 72 to 274)
	
	

	
Block 3: generated counts based on the validated taxonomy (from column 275 to 331). We added “_VT” to each species name to distinguish it from other taxonomy levels. E.g. “g_bulloides” became “g_bulloides_VT”. The number of species counted per subsample is also reported in the column “number_of_species_counted_VT”
	
	

	
Block 4: generated counts based on the lumped taxonomy (from column 332 to 379). In this case, we added “_LT” to each species name. E.g. “n_dutertrei” became “n_dutertrei_VT”. We also calculated the number of species counted per subsample and reported it in the column “number_of_species_counted_LT”
	



Foraminifera abundance data counts are reported in different categories in the blocks 1,2 and 3 and described in the table below:



	
		
			
			
count_type
			
			
			
unit
			
		
		
			
			
Absolute
			
			
			
ind/m3
			
		
		
			
			
Relative
			
			
			
%
			
		
		
			
			
Raw
			
			
			
number of individuals
			
		
		
			
			
Fluxes
			
			
			
ind/m2/day
			
		
		
			
			
Bin_Absolute
			
			
			
ind/m3
			
		
		
			
			
Bin_Relative
			
			
			
%
			
		
		
			
			
Bin_Raw
			
			
			
number of individuals
			
		
		
			
			
Bin_Fluxes
			
			
			
ind/m2/day
			
		
	



 


For more details about the FORCIS database column description, please check the data descriptor paper Chaabane et al. (2023) (https://doi.org/10.1038/s41597-023-02264-2).


The database is kept open for any new entries and the updated version will be released in csv format. The labels of updated versions of the released “.csv” files will contain the date of their publication and versioning number.
DOI: 10.5281/zenodo.12724286
title: The FORCIS database: A global census of planktonic Foraminifera from ocean waters

description: The FORCIS (Foraminifera Response to Climatic Stress) database is a synthesis grouping datasets on living planktonic foraminifera. We assembled foraminiferal diversity and distribution data in the global oceans from 1910 until 2018, curating published and unpublished datasets. This database includes data collected using plankton tows, continuous plankton recorder, sediment traps and plankton pump from the global ocean.


The FORCIS database version 01 is composed of 5 files (“.csv” format). All data coming from different sampling devices were put into separate “.csv” files. Only the data of the CPR from the Southern Hemisphere have been separated from the Northern Hemisphere CPR data as the data structure is not the same (species counts resolved vs. binned total counts, respectively).  


Apart from the file of  CPR data from the Northern Hemisphere that contains only metadata and binned total counts, all the remaining four files contain 4 blocks:



	

	
Block 1: metadata (from column 1 to 71)
	
	

	
Block 2: original counts (from column 72 to 274)
	
	

	
Block 3: generated counts based on the validated taxonomy (from column 275 to 331). We added “_VT” to each species name to distinguish it from other taxonomy levels. E.g. “g_bulloides” became “g_bulloides_VT”. The number of species counted per subsample is also reported in the column “number_of_species_counted_VT”
	
	

	
Block 4: generated counts based on the lumped taxonomy (from column 332 to 379). In this case, we added “_LT” to each species name. E.g. “n_dutertrei” became “n_dutertrei_VT”. We also calculated the number of species counted per subsample and reported it in the column “number_of_species_counted_LT”
	



Foraminifera abundance data counts are reported in different categories in the blocks 1,2 and 3 and described in the table below:



	
		
			
			
count_type
			
			
			
unit
			
		
		
			
			
Absolute
			
			
			
ind/m3
			
		
		
			
			
Relative
			
			
			
%
			
		
		
			
			
Raw
			
			
			
number of individuals
			
		
		
			
			
Fluxes
			
			
			
ind/m2/day
			
		
		
			
			
Bin_Absolute
			
			
			
ind/m3
			
		
		
			
			
Bin_Relative
			
			
			
%
			
		
		
			
			
Bin_Raw
			
			
			
number of individuals
			
		
		
			
			
Bin_Fluxes
			
			
			
ind/m2/day
			
		
	



 


For more details about the FORCIS database column description, please check the data descriptor paper Chaabane et al. (2023) (https://doi.org/10.1038/s41597-023-02264-2).


The database is kept open for any new entries and the updated version will be released in csv format. The labels of updated versions of the released “.csv” files will contain the date of their publication and versioning number.
DOI: 10.5281/zenodo.7936568
title: The FORCIS database: A global census of planktonic Foraminifera from ocean waters

description: The FORCIS (Foraminifera Response to Climatic Stress) database is a synthesis grouping datasets on living planktonic foraminifera. We assembled foraminiferal diversity and distribution data in the global oceans from 1910 until 2018, curating published and unpublished datasets. This database includes data collected using plankton tows, continuous plankton recorder, sediment traps and plankton pump from the global ocean. The FORCIS database version 01 is composed of 5 files (“.csv” format). All data coming from different sampling devices were put into separate “.csv” files. Only the data of the CPR from the Southern Hemisphere have been separated from the Northern Hemisphere CPR data as the data structure is not the same (species counts resolved vs. binned total counts, respectively). Apart from the file of CPR data from the Northern Hemisphere that contains only metadata and binned total counts, all the remaining four files contain 4 blocks: Block 1: metadata (from column 1 to 71) Block 2: original counts (from column 72 to 274) Block 3: generated counts based on the validated taxonomy (from column 275 to 331). We added “_VT” to each species name to distinguish it from other taxonomy levels. E.g. “g_bulloides” became “g_bulloides_VT”. The number of species counted per subsample is also reported in the column “number_of_species_counted_VT” Block 4: generated counts based on the lumped taxonomy (from column 332 to 379). In this case, we added “_LT” to each species name. E.g. “n_dutertrei” became “n_dutertrei_VT”. We also calculated the number of species counted per subsample and reported it in the column “number_of_species_counted_LT” Foraminifera abundance data counts are reported in different categories in the blocks 1,2 and 3 and described in the table below: <strong>count_type</strong> <strong>unit</strong> Absolute ind/m3 Relative % Raw number of individuals Fluxes ind/m2/day Bin_Absolute ind/m3 Bin_Relative % Bin_Raw number of individuals Bin_Fluxes ind/m2/day For more details about the FORCIS database column description, please check the data descriptor paper <strong>Chaabane et al. (2023) (https://doi.org/10.1038/s41597-023-02264-2).</strong> The database is kept open for any new entries and the updated version will be released in csv format. The labels of updated versions of the released “.csv” files will contain the date of their publication and versioning number.
DOI: 10.5517/ccdc.csd.cc2jxldg
title: CCDC 2351176: Experimental Crystal Structure Determination

description: Related Article: Lakshani W. Kulathungage, Sudheer S. Kurup, Edison A. Browne, Gabriel H. Spalink, Cassandra L. Ward, Richard L. Lord, Stanislav Groysman|2024|Chem.Commun.|60|7033|doi:10.1039/D4CC02108H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.u9c8qu
title: Occurrence Download

description: A dataset containing 173 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vanilla edwallii Hoehne"
 ]
}

 The dataset includes 173 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0184406-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2jxlfh
title: CCDC 2351177: Experimental Crystal Structure Determination

description: Related Article: Lakshani W. Kulathungage, Sudheer S. Kurup, Edison A. Browne, Gabriel H. Spalink, Cassandra L. Ward, Richard L. Lord, Stanislav Groysman|2024|Chem.Commun.|60|7033|doi:10.1039/D4CC02108H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2k0g24
title: CCDC 2353925: Experimental Crystal Structure Determination

description: Related Article: Olivia L. Duletski, Duncan Platz, Charlie J. Pollock, Martín A. Mosquera, Navamoney Arulsamy, Michael T. Mock|2024|Chem.Commun.|60|7029|doi:10.1039/D4CC02387K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2k0g35
title: CCDC 2353926: Experimental Crystal Structure Determination

description: Related Article: Olivia L. Duletski, Duncan Platz, Charlie J. Pollock, Martín A. Mosquera, Navamoney Arulsamy, Michael T. Mock|2024|Chem.Commun.|60|7029|doi:10.1039/D4CC02387K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jxlgj
title: CCDC 2351178: Experimental Crystal Structure Determination

description: Related Article: Lakshani W. Kulathungage, Sudheer S. Kurup, Edison A. Browne, Gabriel H. Spalink, Cassandra L. Ward, Richard L. Lord, Stanislav Groysman|2024|Chem.Commun.|60|7033|doi:10.1039/D4CC02108H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2k0g46
title: CCDC 2353927: Experimental Crystal Structure Determination

description: Related Article: Olivia L. Duletski, Duncan Platz, Charlie J. Pollock, Martín A. Mosquera, Navamoney Arulsamy, Michael T. Mock|2024|Chem.Commun.|60|7029|doi:10.1039/D4CC02387K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kh508
title: CCDC 2368059: Experimental Crystal Structure Determination

description: Related Article: Ivan Marziano, Gerard A. Lawless, Peter B. Hitchcock|1997|Thesis|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kh519
title: CCDC 2368060: Experimental Crystal Structure Determination

description: Related Article: Ivan Marziano, Gerard A. Lawless, Peter B. Hitchcock|1997|Thesis|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kh52b
title: CCDC 2368061: Experimental Crystal Structure Determination

description: Related Article: Ivan Marziano, Gerard A. Lawless, Peter B. Hitchcock|1997|Thesis|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.u9fscu
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rumicastrum spergularinum (F.Muell.) Carolin"
 ]
}

 The dataset includes 57 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113370-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2kh53c
title: CCDC 2368062: Experimental Crystal Structure Determination

description: Related Article: Ivan Marziano, Gerard A. Lawless, Peter B. Hitchcock|1997|Thesis|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kh54d
title: CCDC 2368063: Experimental Crystal Structure Determination

description: Related Article: Ivan Marziano, Gerard A. Lawless, Peter B. Hitchcock|1997|Thesis|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.