cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.gyf3du
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mabuya carvalhoi Reboucas-Spieker & Vanzolini, 1990"
 ]
}

 The dataset includes 6 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093651-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cfsfcw
title: Occurrence Download

description: A dataset containing 799 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Strix nigrolineata (P.L.Sclater, 1859)"
 ]
}

 The dataset includes 799 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093647-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dt7xp3
title: Occurrence Download

description: A dataset containing 2100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Anthanassa nebulosa (Godman & Salvin, 1878)"
 ]
}

 The dataset includes 2100 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093652-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2jq7dh
title: Occurrence Download

description: A dataset containing 3438 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Cochliopidae"
 ]
}

 The dataset includes 3438 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093646-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4h2aqr
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mabuya carvalhoi Reboucas-Spieker & Vanzolini, 1990"
 ]
}

 The dataset includes 6 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093653-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zq36s9
title: Occurrence Download

description: A dataset containing 4059 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Balistoides viridescens (Bloch & Schneider, 1801)"
 ]
}

 The dataset includes 4059 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093650-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cehgq4
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Balistes viridescens Bloch & Schneider, 1801"
 ]
}

 The dataset includes 39 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093654-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hwqh4m
title: Occurrence Download

description: A dataset containing 8837 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.06414 36.68036,-43.76933 36.68036,-43.76933 55.24256,-74.06414 55.24256,-74.06414 36.68036))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cetacea",
 "Year 2008-2009"
 ]
}

 The dataset includes 8837 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093655-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gwfzjz
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudobalistes viridescens (Bloch & Schneider, 1801)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093656-240506114902167/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.cc2hgxws
title: CCDC 2308256: Experimental Crystal Structure Determination

description: Related Article: Liguo Lu, Shuhan Chen, Weiyu Kong, Ben Gao, Yangyang Li, Lei Zhu, Guoyin Yin|2024|J.Am.Chem.Soc.|146|16639|doi:10.1021/jacs.4c03700
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.cc2hgxxt
title: CCDC 2308257: Experimental Crystal Structure Determination

description: Related Article: Liguo Lu, Shuhan Chen, Weiyu Kong, Ben Gao, Yangyang Li, Lei Zhu, Guoyin Yin|2024|J.Am.Chem.Soc.|146|16639|doi:10.1021/jacs.4c03700
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.cc2f40h3
title: CCDC 2238184: Experimental Crystal Structure Determination

description: Related Article: Léa Valla, Delphine Pitrat, Jean-Christophe Mulatier, Tangui Le Bahers, Erwann Jeanneau, Lamiaa M. A. Ali, Christophe Nguyen, Magali Gary-Bobo, Chantal Andraud, Yann Bretonnière|2024|J.Org.Chem.|89|8407|doi:10.1021/acs.joc.4c00232
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.cc2hlrvq
title: CCDC 2311944: Experimental Crystal Structure Determination

description: Related Article: Léa Valla, Delphine Pitrat, Jean-Christophe Mulatier, Tangui Le Bahers, Erwann Jeanneau, Lamiaa M. A. Ali, Christophe Nguyen, Magali Gary-Bobo, Chantal Andraud, Yann Bretonnière|2024|J.Org.Chem.|89|8407|doi:10.1021/acs.joc.4c00232
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.cc2j2h04
title: CCDC 2326085: Experimental Crystal Structure Determination

description: Related Article: Laura F. Peña, Asunción Barbero|2024|Org.Lett.|26|5202|doi:10.1021/acs.orglett.4c01806
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.cc2jdk0j
title: CCDC 2335757: Experimental Crystal Structure Determination

description: Related Article: Daniel S. Müller, Paul Charki, Marie Cordier, Urs Gellrich|2024|J.Org.Chem.|89|8668|doi:10.1021/acs.joc.4c00602
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.cc2jdk1k
title: CCDC 2335758: Experimental Crystal Structure Determination

description: Related Article: Daniel S. Müller, Paul Charki, Marie Cordier, Urs Gellrich|2024|J.Org.Chem.|89|8668|doi:10.1021/acs.joc.4c00602
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: 10.6084/m9.figshare.24639186
title: Data files for "The magnetization and age of ca. 544 Ma syenite, eastern Canada: Evidence for renewal of the geodynamo", Zhou et al. 2024

description: Data for Total TRM paleointensity experiments, FIgure 4QS3-plag1.xlsx<br>QS3-plag3.xlsxMagnetometer data for paleointensity experiments. The first sheet contains the demagnetization of natural remanent magnetization; the second sheet is the demagnetization of a laboratory induced thermal remanent magnetization applied to the sample by heating to 560 degrees and allowing to cool in the presence of a 60 microTesla field.Data for Thellier paleointensity experiments, Figure 5QS3-plag5.xlsx<br>QS3-plag6.xlsx<br>QS3-plag7.xlsx*<br>QS3-plag9.xlsx<br>QS3-plag10.xlsx*Magnetometer data for paleointensity experiments. Legend for measurement steps included in each file. Lab field used for the experiment is listed with the legend. *These data are used to plot Figure 5 of the manuscript directly. Paleointensity determinations from thellier data are plotted in summary data Figure 7 of the manuscript.Geochron Data for Figure 2 and Supplementary Figure 4SupplementaryTable1_geochrondata.xls<br>Geochronology data for hand samples QS2, QS3, and QS4 as plotted in Figure 2 of the manuscript. Included is reference data set used to plot Supplementary Figure 4.Paleointensity Summary TableSupplementaryTable2_paleointensity.xlsxPaleointensity data summary table.Data for Total TRM paleointensity experimentsQS3-plag1.xlsx<br>QS3-plag3.xlsxMagnetometer data for paleointensity experiments. Legend for measurement steps is included in each file. Lab field used for the experiment is listed with the legend. Excel files have 2 tabs: one of natural remanent demagnetization data, and a second after a laboratory field of 60 microTesla was applied to the sample after heating to 590 degrees Celsius. These data are used to plot Figure 4 of the manuscript.<br>Data for Hysteresis shown in Figure 3A zipped file containing the raw data used to plot hysteresis loops (Figure 3a, 3c, 3d), first order reversal curve (Figure 3b) and the Day Plot (FIgure 3e, an excel sheet). Hysteresis data was collected with a Princeton Measurements Alternating Gradient Force Magnetometer using a P1 probe. For hysteresis loops (Figure 3a, 3c, 3d), data was combined and averaged. See main text for details. Data collection parameters can be found in the metadata at the start of each data file.
DOI: 10.6084/m9.figshare.24639186.v1
title: Data files for "The magnetization and age of ca. 544 Ma syenite, eastern Canada: Evidence for renewal of the geodynamo", Zhou et al. 2024

description: Data for Total TRM paleointensity experiments, FIgure 4QS3-plag1.xlsx<br>QS3-plag3.xlsxMagnetometer data for paleointensity experiments. The first sheet contains the demagnetization of natural remanent magnetization; the second sheet is the demagnetization of a laboratory induced thermal remanent magnetization applied to the sample by heating to 560 degrees and allowing to cool in the presence of a 60 microTesla field.Data for Thellier paleointensity experiments, Figure 5QS3-plag5.xlsx<br>QS3-plag6.xlsx<br>QS3-plag7.xlsx*<br>QS3-plag9.xlsx<br>QS3-plag10.xlsx*Magnetometer data for paleointensity experiments. Legend for measurement steps included in each file. Lab field used for the experiment is listed with the legend. *These data are used to plot Figure 5 of the manuscript directly. Paleointensity determinations from thellier data are plotted in summary data Figure 7 of the manuscript.Geochron Data for Figure 2 and Supplementary Figure 4SupplementaryTable1_geochrondata.xls<br>Geochronology data for hand samples QS2, QS3, and QS4 as plotted in Figure 2 of the manuscript. Included is reference data set used to plot Supplementary Figure 4.Paleointensity Summary TableSupplementaryTable2_paleointensity.xlsxPaleointensity data summary table.Data for Total TRM paleointensity experimentsQS3-plag1.xlsx<br>QS3-plag3.xlsxMagnetometer data for paleointensity experiments. Legend for measurement steps is included in each file. Lab field used for the experiment is listed with the legend. Excel files have 2 tabs: one of natural remanent demagnetization data, and a second after a laboratory field of 60 microTesla was applied to the sample after heating to 590 degrees Celsius. These data are used to plot Figure 4 of the manuscript.<br>Data for Hysteresis shown in Figure 3A zipped file containing the raw data used to plot hysteresis loops (Figure 3a, 3c, 3d), first order reversal curve (Figure 3b) and the Day Plot (FIgure 3e, an excel sheet). Hysteresis data was collected with a Princeton Measurements Alternating Gradient Force Magnetometer using a P1 probe. For hysteresis loops (Figure 3a, 3c, 3d), data was combined and averaged. See main text for details. Data collection parameters can be found in the metadata at the start of each data file.
DOI: 10.5281/zenodo.12536780
title: NP-KG: Knowledge Graph for Natural Product-Drug Interactions

description: NP-KG is a biomedical knowledge graph (KG) to identify and generate mechanistic hypotheses for pharmacokinetic natural product-drug interactions (NPDIs). NP-KG uses the PheKnowLator ecosystem to create an ontology-grounded KG. It then uses two relation extraction systems to extract triples from natural product-related biomedical literature to create a literature-based graph, and integrates the nodes and edges in the ontology-grounded KG. See GitHub repository for more details and instructions: https://github.com/sanyabt/np-kg.

File Descriptions for version 3:

I. NP-KG Merged TSV format



NP-KG_v3.0.0.tsv - Merged KG with ontology-grounded KG and literature-based graph as TSV file

nodeLabels_v3.0.0.tsv

nodeTypes_v3.0.0.tsv


II. NP-KG Merged gpickle format



NP-KG_v3.0.0.gpickle - Merged KG with ontology-grounded KG and literature-based graph as NetworkX multidigraph object.

nodeLabels_v3.0.0.pickle - Node labels for all nodes in the KG in dictionary format.
description: Supporting Grant - National Institutes of Health National Center for Complementary and Integrative Health Grant U54 AT008909
DOI: 10.5281/zenodo.6814508
title: NP-KG: Knowledge Graph Framework for Natural Product-Drug Interactions

description: NP-KG is a biomedical knowledge graph (KG) to identify and generate mechanistic hypotheses for pharmacokinetic natural product-drug interactions (NPDIs). NP-KG uses the PheKnowLator ecosystem to create an ontology-grounded KG. It then uses two relation extraction systems to extract triples from natural product-related biomedical literature to create a literature-based graph, and integrates the nodes and edges in the ontology-grounded KG. See GitHub repository for more details and instructions: https://github.com/sanyabt/np-kg. <strong>File Descriptions:</strong> <em>1. nodeLabels_v1.0.pickle - </em>Node labels for all nodes in the KG. <em>2. PheKnowLator_machine_read_merged_instance_based_OWLNETS_v1.0.gpickle - </em>Merged KG with ontology-grounded KG and literature-based graph as NetworkX multidigraph object. <em>3. PheKnowLator_machine_read_merged_instance_based_OWLNETS_v1.0.nt - </em>Triples in merged KG with ontology-grounded KG and literature-based graph in ntriples file. <em>4. machine_read_merged_with_closure_v1.0.pickle - </em>Pickle file of literature-based graph. <em>5. machine_read_merged_with_closure_v1.0.nt - </em>ntriples file of literature-based graph. <em>6. PheKnowLator_v3.0.0_full_instance_inverseRelations_OWLNETS_NetworkxMultiDiGraph.gpickle - </em>PheKnowLator KG with full instance build v3.0.0 as NetworkX multidigraph object. <em>7. PheKnowLator_v3.0.0_full_instance_inverseRelations_OWLNETS_20220616.nt - </em>PheKnowLator KG with full instance build v3.0.0 as ntriples file.
description: Supporting Grant - National Institutes of Health National Center for Complementary and Integrative Health Grant U54 AT008909
DOI: 10.5281/zenodo.10059190
title: NP-KG: Knowledge Graph for Natural Product-Drug Interactions

description: NP-KG is a biomedical knowledge graph (KG) to identify and generate mechanistic hypotheses for pharmacokinetic natural product-drug interactions (NPDIs). NP-KG uses the PheKnowLator ecosystem to create an ontology-grounded KG. It then uses two relation extraction systems to extract triples from natural product-related biomedical literature to create a literature-based graph, and integrates the nodes and edges in the ontology-grounded KG. See GitHub repository for more details and instructions: https://github.com/sanyabt/np-kg.
File Descriptions:
I. NP-KG Merged TSV format

NP-KG_v2.0.0.tsv - Merged KG with ontology-grounded KG and literature-based graph as TSV file
nodeLabels_v2.0.0.tsv
II. NP-KG Merged gpickle format

NP-KG_v2.0.0.gpickle - Merged KG with ontology-grounded KG and literature-based graph as NetworkX multidigraph object.
nodeLabels_v2.0.0.pickle - Node labels for all nodes in the KG in dictionary format.
III. PheKnowLator instance-based KG (v3.1.1)

PheKnowLator_v3.1.1_full_instance_inverseRelations_OWLNETS_NetworkxMultiDiGraph.gpickle - PheKnowLator KG with full instance build v3.1.1 as NetworkX multidigraph object.
IV. Literature-based Graph in gpickle and ntriples format

machine_read_merged_v2.0.0.gpickle - Literature-based graph
machine_read_merged_with_closure_v2.0.0.nt
description: Supporting Grant - National Institutes of Health National Center for Complementary and Integrative Health Grant U54 AT008909
DOI: 10.5281/zenodo.6814507
title: NP-KG: Knowledge Graph for Natural Product-Drug Interactions

description: NP-KG is a biomedical knowledge graph (KG) to identify and generate mechanistic hypotheses for pharmacokinetic natural product-drug interactions (NPDIs). NP-KG uses the PheKnowLator ecosystem to create an ontology-grounded KG. It then uses two relation extraction systems to extract triples from natural product-related biomedical literature to create a literature-based graph, and integrates the nodes and edges in the ontology-grounded KG. See GitHub repository for more details and instructions: https://github.com/sanyabt/np-kg.

File Descriptions for version 3:

I. NP-KG Merged TSV format



NP-KG_v3.0.0.tsv - Merged KG with ontology-grounded KG and literature-based graph as TSV file

nodeLabels_v3.0.0.tsv

nodeTypes_v3.0.0.tsv


II. NP-KG Merged gpickle format



NP-KG_v3.0.0.gpickle - Merged KG with ontology-grounded KG and literature-based graph as NetworkX multidigraph object.

nodeLabels_v3.0.0.pickle - Node labels for all nodes in the KG in dictionary format.
description: Supporting Grant - National Institutes of Health National Center for Complementary and Integrative Health Grant U54 AT008909
DOI: 10.5281/zenodo.7011488
title: NP-KG: Knowledge Graph Framework for Natural Product-Drug Interactions

description: NP-KG is a biomedical knowledge graph (KG) to identify and generate mechanistic hypotheses for pharmacokinetic natural product-drug interactions (NPDIs). NP-KG uses the PheKnowLator ecosystem to create an ontology-grounded KG. It then uses two relation extraction systems to extract triples from natural product-related biomedical literature to create a literature-based graph, and integrates the nodes and edges in the ontology-grounded KG. See GitHub repository for more details and instructions: https://github.com/sanyabt/np-kg. <strong>File Descriptions:</strong> <strong>I. NP-KG Merged TSV format</strong> <em>PheKnowLator_machine_read_merged_instance_based_OWLNETS_v1.0.1.tsv - </em>Merged KG with ontology-grounded KG and literature-based graph as TSV file <em>nodeLabels_v1.0.1.tsv</em> <strong>II. NP-KG Merged gpickle format</strong> <em>PheKnowLator_machine_read_merged_instance_based_OWLNETS_v1.0.1.gpickle - </em>Merged KG with ontology-grounded KG and literature-based graph as NetworkX multidigraph object. <em>nodeLabels_v1.0.1.pickle - </em>Node labels for all nodes in the KG. <strong>III. PheKnowLator instance-based KG (v3.0.0)</strong> <em>PheKnowLator_v3.0.0_full_instance_inverseRelations_OWLNETS_NetworkxMultiDiGraph.gpickle - </em>PheKnowLator KG with full instance build v3.0.0 as NetworkX multidigraph object. <strong>IV. Literature-based Graph in gpickle and ntriples format</strong> <em>machine_read_merged_with_closure_v1.0.1.pickle - </em>Pickle file of literature-based graph <em>machine_read_merged_with_closure_v1.0.1.nt - </em>ntriples file of literature-based graph.
description: Supporting Grant - National Institutes of Health National Center for Complementary and Integrative Health Grant U54 AT008909
DOI: 10.15468/dl.wucptf
title: Occurrence Download

description: A dataset containing 68148 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Culex nigripalpus Theobald, 1901"
 ]
}

 The dataset includes 68148 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093562-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kcv9wn
title: Occurrence Download

description: A dataset containing 171 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lupinus malacophyllus Greene",
 "HasCoordinate is true",
 "GadmGid is USA.29_1"
 ]
}

 The dataset includes 171 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093663-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bufmgm
title: Occurrence Download

description: A dataset containing 877 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is false",
 "TaxonKey is Eurema mexicana (Boisduval, 1836)"
 ]
}

 The dataset includes 877 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093664-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8txzs9
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ocotea contrerasii Lundell, Ocotea corethroides Kosterm., Ocotea corrugata VanDerWerff, Ocotea corrugata van der Werff, Ocotea cowaniana C.K.Allen, Ocotea crassifolia (Nees) Mez)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 70 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093665-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.