cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.38hjag
title: Occurrence Download

description: A dataset containing 148838 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Material sample"
 ]
 },
 "TaxonKey is Psittaciformes"
 ]
}

 The dataset includes 148838 records from 236 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0329503-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.un6hhb
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phoradendron larense Kuijt"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0188335-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5vibab
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Planktic foraminifera abundance of Hole 60-457"
 ]
}

 The dataset includes 50 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001281-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3e73ns
title: Occurrence Download

description: A dataset containing 180 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "GadmGid is CAN.9_1",
 "GadmGid is CAN.11_1"
 ]
 },
 "TaxonKey is Anguilla rostrata (Lesueur, 1817)"
 ]
}

 The dataset includes 180 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077003-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qf6llr
title: Occurrence Download

description: A dataset containing 433 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Tapirella bairdii (Gill, 1865)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 433 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001281-171025204727650/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.neys2g
title: Occurrence Download

description: A dataset containing 899 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Zebrasoma velifer (Bloch, 1795)",
 "Year 2000-2014"
 ]
}

 The dataset includes 899 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0332805-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mkurqk
title: Occurrence Download

description: A dataset containing 705807 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2019-2021"
 ]
}

 The dataset includes 705807 records from 1575 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0330363-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9wnnk0
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agastache rupestris (Greene) Standl."
 ]
}

 The dataset includes 66 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005600-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g1nvry
title: Occurrence Download

description: A dataset containing 46907 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "DecimalLatitude is greater than 40.4369142172228",
 "DecimalLatitude is less than 40.9770680630383",
 "DecimalLongitude is greater than -74.3628024353436",
 "DecimalLongitude is less than -73.6548138887522"
 ]
}

 The dataset includes 46907 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006616-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b94ftj
title: Occurrence Download

description: A dataset containing 126031 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mosquito Occurrence Dataset"
 ]
}

 The dataset includes 126031 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021001-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uph653
title: Occurrence Download

description: A dataset containing 196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "IucnRedListCategory is one of (LC, NE, NT, VU, CR, EN)",
 "OccurrenceStatus is Present",
 "TaxonKey is Eunectes murinus (Linnaeus, 1758)"
 ]
}

 The dataset includes 196 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021012-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11205439
title: Replication Archive for "Teen Social Interactions and Well-being during the COVID-19 Pandemic"

description: This archive includes the Stata code to replicate all results in the referenced paper.
DOI: 10.5281/zenodo.11205440
title: Replication Archive for "Teen Social Interactions and Well-being during the COVID-19 Pandemic"

description: This archive includes the Stata code to replicate all results in the referenced paper.
DOI: 10.15468/dl.5ktzre
title: Occurrence Download

description: A dataset containing 10470 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Verbena rigida Spreng.)"
 ]
}

 The dataset includes 10470 records from 352 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021013-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hdv95h
title: Occurrence Download

description: A dataset containing 371 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polistes albellus Giordani Soika, 1976"
 ]
}

 The dataset includes 371 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021014-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.thd234
title: Occurrence Download

description: A dataset containing 5214 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "IucnRedListCategory is one of (LC, NE, NT, VU, CR, EN)",
 "OccurrenceStatus is Present",
 "TaxonKey is Odocoileus virginianus (Zimmermann, 1780)"
 ]
}

 The dataset includes 5214 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021015-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10271120
title: HipFT Sample Input Dataset for Convective Flows and Data Assimilation

description: This file package is a sample data set for running HipFT with convective flows and data assimilation. 

The convective flows were generated with the ConFlow code (soon to be released), while the data assimilation maps were processed from HMI M720s LOS data using the MagMAP package  (also soon to be released).

See the enclosed README file on how to run an example included in the HipFT package that uses the two data sets.
DOI: 10.5281/zenodo.11205509
title: HipFT Sample Input Dataset for Convective Flows and Data Assimilation

description: This file package is a sample data set for running HipFT with convective flows and data assimilation. 

The convective flows were generated with the ConFlow code (soon to be released), while the data assimilation maps were processed from HMI M720s LOS data using the MagMAP package  (also soon to be released).

See the enclosed README file on how to run an example included in the HipFT package that uses the two data sets.
DOI: 10.15468/dl.h6np4c
title: Occurrence Download

description: A dataset containing 3787 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "IucnRedListCategory is one of (LC, NE, NT, VU, CR, EN)",
 "OccurrenceStatus is Present",
 "TaxonKey is Espeletia grandiflora Humb. & Bonpl."
 ]
}

 The dataset includes 3787 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021017-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t7h69m
title: Occurrence Download

description: A dataset containing 19436 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Verbesina alternifolia (L.) Britton ex Kearney)"
 ]
}

 The dataset includes 19436 records from 214 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021016-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7vaa9s
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polistes atrimandibularis (Zimmermann, 1930)"
 ]
}

 The dataset includes 73 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021019-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ws85m3
title: Occurrence Download

description: A dataset containing 213 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polistes associus Kohl, 1898"
 ]
}

 The dataset includes 213 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021018-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10654568
title: Stereoisomers are not Machine Learning's Best Friends: The testing results of the predicting of the association constant between a cyclodextrin and a guest with Stereo2vec

description: This study addresses the challenge of accurately identifying stereoisomers in cheminformatics which originates from our objective to apply machine learning to predict association constant between a cyclodextrin and a guest. Identifying stereoisomers is indeed crucial for machine learning applications. Current tools offer various molecular descriptors, including their textual representation as Isomeric SMILES which can distinguish stereoisomers. But such representation is text-based and does not have a fixed size, so a conversion is needed to make it usable to machine learning approaches. Word embedding techniques can be used to solve this problem. Mol2vec, a word embedding approach for molecules, offers such a conversion. Unfortunately, it cannot distinguish between stereoisomers due to its inability to capture the spatial configuration of molecular structures. This study proposes several approaches that use word embedding techniques to handle molecular discrimination using stereochemical information of molecules or considering Isomeric SMILES notation as a text in Natural Language Processing. Our aim is to generate a distinct vector for each unique molecule, correctly identifying stereoisomer information in cheminformatics. The proposed approaches are then compared on our original machine learning task: predicting the association constant between a cyclodextrin and a guest molecule.
DOI: 10.5281/zenodo.10651637
title: Stereoisomers are not Machine Learning's Best Friends: The testing results of the predicting of the association constant between a cyclodextrin and a guest with Stereo2vec

description: This study addresses the challenge of accurately identifying stereoisomers in cheminformatics which originates from our objective to apply machine learning to predict association constant between a cyclodextrin and a guest. Identifying stereoisomers is indeed crucial for machine learning applications. Current tools offer various molecular descriptors, including their textual representation as Isomeric SMILES which can distinguish stereoisomers. But such representation is text-based and does not have a fixed size, so a conversion is needed to make it usable to machine learning approaches. Word embedding techniques can be used to solve this problem. Mol2vec, a word embedding approach for molecules, offers such a conversion. Unfortunately, it cannot distinguish between stereoisomers due to its inability to capture the spatial configuration of molecular structures. This study proposes several approaches that use word embedding techniques to handle molecular discrimination using stereochemical information of molecules or considering Isomeric SMILES notation as a text in Natural Language Processing. Our aim is to generate a distinct vector for each unique molecule, correctly identifying stereoisomer information in cheminformatics. The proposed approaches are then compared on our original machine learning task: predicting the association constant between a cyclodextrin and a guest molecule.
DOI: 10.5281/zenodo.10651636
title: Stereoisomers are not Machine Learning's Best Friends: Experimental results of the prediction of the association constant between a cyclodextrin and a guest with Stereo2vec

description: This study addresses the challenge of accurately identifying stereoisomers in cheminformatics which originates from our objective to apply machine learning to predict association constant between a cyclodextrin and a guest. Identifying stereoisomers is indeed crucial for machine learning applications. Current tools offer various molecular descriptors, including their textual representation as Isomeric SMILES which can distinguish stereoisomers. But such representation is text-based and does not have a fixed size, so a conversion is needed to make it usable to machine learning approaches. Word embedding techniques can be used to solve this problem. Mol2vec, a word embedding approach for molecules, offers such a conversion. Unfortunately, it cannot distinguish between stereoisomers due to its inability to capture the spatial configuration of molecular structures. This study proposes several approaches that use word embedding techniques to handle molecular discrimination using stereochemical information of molecules or considering Isomeric SMILES notation as a text in Natural Language Processing. Our aim is to generate a distinct vector for each unique molecule, correctly identifying stereoisomer information in cheminformatics. The proposed approaches are then compared on our original machine learning task: predicting the association constant between a cyclodextrin and a guest molecule.
DOI: 10.5281/zenodo.11205560
title: Stereoisomers are not Machine Learning's Best Friends: Experimental results of the prediction of the association constant between a cyclodextrin and a guest with Stereo2vec

description: This study addresses the challenge of accurately identifying stereoisomers in cheminformatics which originates from our objective to apply machine learning to predict association constant between a cyclodextrin and a guest. Identifying stereoisomers is indeed crucial for machine learning applications. Current tools offer various molecular descriptors, including their textual representation as Isomeric SMILES which can distinguish stereoisomers. But such representation is text-based and does not have a fixed size, so a conversion is needed to make it usable to machine learning approaches. Word embedding techniques can be used to solve this problem. Mol2vec, a word embedding approach for molecules, offers such a conversion. Unfortunately, it cannot distinguish between stereoisomers due to its inability to capture the spatial configuration of molecular structures. This study proposes several approaches that use word embedding techniques to handle molecular discrimination using stereochemical information of molecules or considering Isomeric SMILES notation as a text in Natural Language Processing. Our aim is to generate a distinct vector for each unique molecule, correctly identifying stereoisomer information in cheminformatics. The proposed approaches are then compared on our original machine learning task: predicting the association constant between a cyclodextrin and a guest molecule.
DOI: 10.15468/dl.94p2db
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polistes austroccidentalis van Achterberg & Neumeyer, 2017"
 ]
}

 The dataset includes 84 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021022-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tfx2ex
title: Occurrence Download

description: A dataset containing 14518 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Verbesina encelioides (Cav.) Benth. & Hook.fil. ex A.Gray)"
 ]
}

 The dataset includes 14518 records from 313 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021021-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yks75m
title: Occurrence Download

description: A dataset containing 385 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polistes bischoffi Weyrauch, 1937"
 ]
}

 The dataset includes 385 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021025-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uxxgnk
title: Occurrence Download

description: A dataset containing 4633 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polistes biglumis (Linnaeus, 1758)"
 ]
}

 The dataset includes 4633 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021023-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rjegp8
title: Occurrence Download

description: A dataset containing 3539 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Canthon cyanellus LeConte, 1859"
 ]
}

 The dataset includes 3539 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021024-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qhm23a
title: Occurrence Download

description: A dataset containing 321 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Vernicia cordata (Thunb.) Airy Shaw)"
 ]
}

 The dataset includes 321 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021026-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e203021
title: CHIP Enrollment 2010-2019

description: CHIP enrollment by state, 2010-2019
DOI: 10.3886/e203021v1
title: CHIP Enrollment 2010-2019

description: CHIP enrollment by state, 2010-2019
DOI: 10.15468/dl.s6pk55
title: Occurrence Download

description: A dataset containing 3930 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Vernicia fordii (Hemsl.) Airy Shaw)"
 ]
}

 The dataset includes 3930 records from 203 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021028-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9b6zjy
title: Occurrence Download

description: A dataset containing 32840 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Museu Paraense Emílio Goeldi - Lacertilia Collection"
 ]
}

 The dataset includes 32840 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021027-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rmavz7
title: Occurrence Download

description: A dataset containing 446392 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calidris canutus (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 446392 records from 363 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021005-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-69448
title: Redemption tidings, vol. 49, nos. 1-52, 4 Jan. - 27 Dec. 1973

description: [description english/roman)] Issued weekly.
DOI: 10.15468/dl.d5whcd
title: Occurrence Download

description: A dataset containing 607 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eriphia gonagra (Fabricius, 1781)"
 ]
}

 The dataset includes 607 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0118759-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nwr9r6
title: Occurrence Download

description: A dataset containing 257 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Specimen"
 ]
 },
 "Country is Mexico",
 "TaxonKey is Xanthosoma robustum Schott"
 ]
}

 The dataset includes 257 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062562-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.634ukw
title: Occurrence Download

description: A dataset containing 888 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arenaria lycopodioides Willd. ex D.F.K.Schltdl."
 ]
}

 The dataset includes 888 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044627-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.