cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.c4xbqw
title: Occurrence Download

description: A dataset containing 180 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-105.064 21.8298,-104.585 21.585,-104.422 21.0788,-103.977 21.0826,-103.672 20.8428,-103.42 20.9946,-103.232 20.79,-102.886 21.4546,-102.724 21.4637,-102.809 21.5263,-102.815 21.6271,-102.669 21.5357,-102.616 21.731,-102.298 21.8159,-102.361 21.6479,-102.19 21.5148,-101.652 21.642,-101.79 21.3269,-100.949 20.6425,-100.806 20.6478,-100.727 20.9008,-100.227 20.7751,-100.003 20.9542,-99.5692 20.6838,-99.2954 20.8279,-99.3349 20.6096,-99.1333 20.6257,-99.1366 20.4377,-98.8726 20.2886,-98.6957 20.3203,-98.7247 20.5398,-98.0072 20.2098,-97.9785 19.8486,-97.7477 19.6641,-97.3841 19.9586,-97.4256 20.1293,-97.1282 20.1586,-97.1469 19.9591,-96.5483 19.9505,-96.3721 19.5549,-96.7446 19.5523,-96.8676 19.3811,-96.7843 18.9779,-97.0088 18.8011,-97.1764 18.9481,-97.3967 18.7219,-97.7065 18.8898,-97.3887 18.4727,-97.8411 18.6898,-97.5399 18.3412,-97.7119 18.2466,-97.554 18.1276,-97.5213 18.0034,-97.6602 18.0971,-97.8078 17.8807,-98.0192 18.0009,-98.514 17.9298,-98.793 18.2555,-98.9414 18.1403,-99.1689 18.4028,-98.9742 18.6812,-99.1028 18.9504,-99.4829 19.0118,-99.8996 18.8678,-99.9136 19.0544,-100.146 19.0659,-100.235 19.3131,-100.465 19.0567,-100.536 19.6786,-100.612 19.5104,-100.747 19.6669,-101.052 19.6352,-101.365 19.1727,-101.343 18.9694,-101.723 19.0673,-101.735 18.9009,-102.01 19.0487,-101.887 19.2106,-102.144 19.0227,-102.205 19.1586,-102.521 19.1666,-102.647 19.6664,-102.86 19.8577,-103.181 19.8639,-103.744 19.0831,-104.007 19.7299,-104.402 19.7692,-104.341 20.3814,-104.576 20.2762,-104.512 20.6135,-104.691 20.968,-104.389 20.833,-104.315 20.9481,-105.078 21.2018,-105.16 21.0336,-105.278 21.0185,-105.242 21.6021,-105.064 21.8298))",
 "TaxonKey is one of (Oxalis alpina (Rose) Rose ex R.Knuth)"
 ]
}

 The dataset includes 180 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007234-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jjg68r
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alyssum amoris Coincy"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048029-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zwng64
title: Occurrence Download

description: A dataset containing 4828 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anaxyrus quercicus (Holbrook, 1840)"
 ]
}

 The dataset includes 4828 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072952-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.78u448
title: Occurrence Download

description: A dataset containing 292 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lucicutia ovalis (Giesbrecht, 1889)"
 ]
}

 The dataset includes 292 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123634-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.agu9c4
title: Occurrence Download

description: A dataset listing the 97 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is one of (United States of America, Canada, Sweden)",
 "OccurrenceStatus is Present",
 "TaxonKey is Corvidae"
 ]
}

 The dataset's 97 records were derived from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072971-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hxav95
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sophia pinnata (Walter) Howell"
 ]
}

 The dataset includes 23 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048035-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xp5499
title: Occurrence Download

description: A dataset containing 63138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Juglandaceae"
 ]
}

 The dataset includes 63138 records from 542 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0145648-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vyr3ba
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gentiana scabrida subsp. punctulata Hayata",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010000-220831081235567/datasets/export for details.
DOI: 10.15468/dl.k28apt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alyssum latifolium Vis."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048028-220831081235567/datasets/export for details.
DOI: 10.15468/dl.r63rvh
title: Occurrence Download

description: A dataset containing 4984 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Emilia sonchifolia (L.) DC."
 ]
}

 The dataset includes 4984 records from 279 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0162666-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rd7nr8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sophia myriophylla Rydb."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048032-220831081235567/datasets/export for details.
DOI: 10.15468/dl.dmw6kc
title: Occurrence Download

description: A dataset containing 215 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ribes formosanum Hayata",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 215 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010004-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.648j96
title: Occurrence Download

description: A dataset containing 4164 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Corchorus tridens L."
 ]
}

 The dataset includes 4164 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0162661-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kesh8u
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sophia ochroleuca Wooton"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048033-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k8byes
title: Occurrence Download

description: A dataset containing 1424 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "TaxonKey is one of (Apteryx australis Shaw, 1813, Apteryx australis australis)",
 "Year 1972-2022"
 ]
}

 The dataset includes 1424 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072930-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cza555
title: Occurrence Download

description: A dataset containing 14980 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Coturnicops G.R.Gray, 1855, Coturnicops noveboracensis (Gmelin, 1789))"
 ]
}

 The dataset includes 14980 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123640-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y55dtt
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sisymbrium sophia var. brachycarpum Boiss."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048048-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jm54j7
title: Occurrence Download

description: A dataset containing 106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tulipa undulatifolia Boiss.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 106 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072936-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.em9n2j
title: Occurrence Download

description: A dataset containing 5421690 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((26.7542939189847 1.2186193716968,36.9991642472184 13.6345880476356,41.544901412726 10.038706409249,37.5419388341447 2.16847489881781,35.84576825 -7.80500813595271,36.2528491901947 -16.0144737632128,34.2174444892211 -16.5572483501391,27.5006089760084 -8.95840413317107,26.7542939189847 1.2186193716968))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5421690 records from 1038 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123622-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.93sqjk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Perlidae",
 "BasisOfRecord is Human Observation",
 "Country is Colombia",
 "Year is greater than or equal to 1970",
 "Year is less than or equal to 1989"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006641-251025141854904/datasets/export for details.
DOI: 10.15468/dl.d88nsw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (c(2685524, 2685383, 2685580, 2685580, 2685318, 2685361, 2685313, 2685422, 2685308, 2683866))",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation, Literature Occurrence)",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Specimen, Fossil)"
 ]
 }
 },
 "Country is one of (United States of America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1995"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006640-251025141854904/datasets/export for details.
DOI: 10.15468/dl.kqacm2
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Seguimiento y monitoreo del oso andino en la jurisdicción de Corpoguavio"
 ]
}

 The dataset includes 41 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006642-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17476107
title: Dataset for the article "Joint Visible Light Sensing and Communication Using m-CAP Modulation"
DOI: 10.5281/zenodo.17476108
title: Dataset for the article "Joint Visible Light Sensing and Communication Using m-CAP Modulation"
DOI: 10.3886/e239373
title: Developing a Solution for Nasal and Olfactory Transport of Nanomaterials

description: Nanotechnology is one of the most rapidly developing areas of the economy and involves the study and control of matter in the nanoscale. The nanoscale is the size range from 1 to 100 nm. Recently, some nanomaterials have demonstrated the ability to enter the brain through the olfactory pathway from the nose to the brain. ⁠This pathway can potentially enable inhaled nanomaterials to enter the brain. Inhalation exposures are technically difficult and expensive. Intranasal instillation is a potential screening tool for evaluating nose to brain transport. However, particles in aqueous media tend to agglomerate and agglomerated particles often act like larger particles in terms of surface area, toxicity, and size thresholds for transport pathways. For neuronal transport within the brain, the upper size limit is estimated to be approximately 100 nm. Therefore, nanomaterials must be adequately dispersed in the vehicle used for instillation in order to evaluate their potential for transport from the nose to the brain.<br><br>Because 100 nm is the upper size limit estimated for transport within the central nervous system, components of dispersion media may need to be different from dispersion media used to evaluate toxicity in other tissues. For example, albumin, a protein which is useful in dispersion media developed for the lung, can interact with nanomaterials and increase their size. In addition, neurons transport sodium out of the cell, suggesting that a dispersion medium to evaluate nose-to-brain transport should avoid high sodium concentrations. To overcome issues with the size of albumin and other proteins as well as the potential effects of sodium and phosphate, we hypothesized that free amino acids, a balanced electrolyte solution, and a mixture of phospholipids could produce a solution that both dispersed nanomaterials and was compatible with neuronal transport. This study describes and characterizes a solution for nasal and olfactory transport (SNOT) that can disperse nanomaterials and dyes with nanoscale dimensions, enabling intranasal instillation so that potential nose-to-brain transport can be evaluated.
description: Data downloaded 5/20/2025
DOI: 10.3886/e239373v1
title: Developing a Solution for Nasal and Olfactory Transport of Nanomaterials

description: Nanotechnology is one of the most rapidly developing areas of the economy and involves the study and control of matter in the nanoscale. The nanoscale is the size range from 1 to 100 nm. Recently, some nanomaterials have demonstrated the ability to enter the brain through the olfactory pathway from the nose to the brain. ⁠This pathway can potentially enable inhaled nanomaterials to enter the brain. Inhalation exposures are technically difficult and expensive. Intranasal instillation is a potential screening tool for evaluating nose to brain transport. However, particles in aqueous media tend to agglomerate and agglomerated particles often act like larger particles in terms of surface area, toxicity, and size thresholds for transport pathways. For neuronal transport within the brain, the upper size limit is estimated to be approximately 100 nm. Therefore, nanomaterials must be adequately dispersed in the vehicle used for instillation in order to evaluate their potential for transport from the nose to the brain.<br><br>Because 100 nm is the upper size limit estimated for transport within the central nervous system, components of dispersion media may need to be different from dispersion media used to evaluate toxicity in other tissues. For example, albumin, a protein which is useful in dispersion media developed for the lung, can interact with nanomaterials and increase their size. In addition, neurons transport sodium out of the cell, suggesting that a dispersion medium to evaluate nose-to-brain transport should avoid high sodium concentrations. To overcome issues with the size of albumin and other proteins as well as the potential effects of sodium and phosphate, we hypothesized that free amino acids, a balanced electrolyte solution, and a mixture of phospholipids could produce a solution that both dispersed nanomaterials and was compatible with neuronal transport. This study describes and characterizes a solution for nasal and olfactory transport (SNOT) that can disperse nanomaterials and dyes with nanoscale dimensions, enabling intranasal instillation so that potential nose-to-brain transport can be evaluated.
description: Data downloaded 5/20/2025
DOI: 10.17026/dans-z8p-h4nc
title: Kindertransporten 'Joodse kinderen in kamp Vught' - Interview 03, DAVE FURTH

description: &lt;p&gt;Dave Furth (*11-02-1943) is de enige zoon van Jacques Furth. Op de avond van zijn tweede verjaardag wordt vader van huis gehaald en naar kamp Vught gebracht. Hiervandaan geeft hij zijn vrouw de opdracht om Dave te laten onderduiken. Dave komt bij een pleeggezin in Limburg terecht en heeft het daar goed. Zijn moeder wordt in Auschwitz vermoord, vader overleeft de kampen.&lt;br&gt;Dave gaat na de oorlog bij zijn vader en stiefmoeder in Amsterdam wonen. Vader praat nooit over zijn overleden vrouw, Dave’s moeder. Dat is Dave hem kwalijk gaan nemen. De relatie tussen vader en zoon wordt sterk bepaald door de oorlogsgevolgen.&lt;br&gt;Dave Furth’s verhaal is een uitgesproken voorbeeld van een onderduikkind; en van een tweede-generatie-problematiek.&lt;/p&gt;&lt;p&gt;Zie ook een korte montage 'Het kind dat moest onderduiken' (lengte: 00:11:34) uit twee getuigeninterviews: vader Jacques en zoon Dave Furth. Een scherp gesneden item waarin de duidelijk wordt hoe de oorlog de relatie tussen vader en zoon heeft verstoord. Vader Jacques heeft vanuit kamp Vught er op aangedrongen dat zijn twee-jarige zoontje in onderduik werd gebracht, maar hij heeft niet zijn vrouw zelf hiertoe aangespoord. Zij werd vermoord in Auschwitz. Vader en zoon hebben hier complexe en dubbele gevoelens aan overgehouden.&lt;br&gt;JKKV_2007_Het_Kind_Dat_Moest_Onderduiken_FURTH&lt;/p&gt;
description: Date Submitted: 2014-01-23
description: &lt;p&gt;Deze collectie Kindertransporten: 'Joodse kinderen in kamp Vught' bevat zeven interviews (2003) waarin mensen die de kampen overleefden, het verhaal vertellen van de kinderen en van zichzelf. In 2007 werden hiermee een aantal korte (educatieve) documentaire's gemaakt:&lt;/p&gt;&lt;p&gt;2 documentaires&lt;br&gt;- 'Wat kunnen ze nou met ons doen?', korte educatieve documentaire, gebaseerd op dit interview en de interviews met Koos Valk, Kitty Wurms-Andriesse, Lotty Huffener-Veffer.&lt;br&gt;JKKV_2007_WAT_KUNNEN_ZE_NOU_MET_ONS_DOEN&lt;br&gt;- 'Als ik later groot ben' is een documentaire in drie delen, gebaseerd op dit interviews en de interviews met Koos Valk, Kitty Wurms-Andriesse, Lotty Huffener-Veffer, Jules Schelvis, Anny Sulzbach, Jacques en Dave Furth.JKKV_2007_ALS_IK_LATER_GROOT_BEN&lt;/p&gt;&lt;p&gt;4 korte montages&lt;br&gt;- 'Moeder en kind', het verhaal van Anny Sulzbach&lt;br&gt;JKKV_2007_Moeder_En_Kind_Sulzbach&lt;br&gt;- 'Het kind dat moest onderduiken', het verhaal van Jacques en Dave Furth&lt;br&gt;JKKV_2007_Het_Kind_Dat_Moest_Onderduiken_FURTH&lt;br&gt;- 'Eindpunt Sobibor' , het verhaal van Jules Schelvis&lt;br&gt;JKKV_2007_Eindpunt_Sobibor_SCHELVIS&lt;/p&gt;&lt;p&gt;Impressie&lt;br&gt;'Het kindermonument', impressie uit 2006 van de jaarlijkse Herdenking van de Kindertransport uit Vught, 6 en 7 juni 1943.&lt;br&gt;JKKV_2007_GEDICHT_LAPLACESTRAAT&lt;/p&gt;&lt;p&gt;Intro&lt;br&gt;JKKV_2007_intro&lt;/p&gt;
DOI: 10.5281/zenodo.17476332
title: Dataset for the article "Experimental Demonstration of Integrated Optical Wireless Sensing and Communication"
DOI: 10.5281/zenodo.17476333
title: Dataset for the article "Experimental Demonstration of Integrated Optical Wireless Sensing and Communication"
DOI: 10.5281/zenodo.17474463
title: NLP4Pheno v1.0: Bacterial Phenotype Predictions Dataset

description:   This dataset contains the complete output from the NLP4Pheno pipeline, including Named Entity Recognition (NER) predictions, Relation Extraction (RE) predictions, and XGBoost-based phenotype predictions for 121,042 bacterial strains extracted from PubMed Central literature.

  The dataset comprises:  - Named Entity Recognition predictions for 9 entity types (STRAIN, SPECIES, ISOLATE, COMPOUND, MEDIUM, ORGANISM, PHENOTYPE, EFFECT, DISEASE)  - Relation Extraction predictions for 16 relationship types (primarily STRAIN-centered)  - 1,046,299 aggregated strain-phenotype-compound relationships  - XGBoost predictions integrating genomic features (protein domains) with text-mined relationships  - Network representations suitable for graph analysis

  This dataset corresponds to the manuscript: "Integrating natural language processing and genome analysis enables accurate bacterial phenotype prediction"
DOI: 10.5281/zenodo.17474462
title: NLP4Pheno v1.0: Bacterial Phenotype Predictions Dataset

description:   This dataset contains the complete output from the NLP4Pheno pipeline, including Named Entity Recognition (NER) predictions, Relation Extraction (RE) predictions, and XGBoost-based phenotype predictions for 121,042 bacterial strains extracted from PubMed Central literature.

  The dataset comprises:  - Named Entity Recognition predictions for 9 entity types (STRAIN, SPECIES, ISOLATE, COMPOUND, MEDIUM, ORGANISM, PHENOTYPE, EFFECT, DISEASE)  - Relation Extraction predictions for 16 relationship types (primarily STRAIN-centered)  - 1,046,299 aggregated strain-phenotype-compound relationships  - XGBoost predictions integrating genomic features (protein domains) with text-mined relationships  - Network representations suitable for graph analysis

  This dataset corresponds to the manuscript: "Integrating natural language processing and genome analysis enables accurate bacterial phenotype prediction"
DOI: 10.15468/dl.ad9weg
title: Occurrence Download

description: A dataset containing 100201 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is France",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Buxus sempervirens",
 "Year 1950-2025"
 ]
}

 The dataset includes 100201 records from 622 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006614-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.