cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28327884.v1
title: Development of PLGA-SPC3 functionalized Gefitinib mesoporous silica nano-scaffolds for breast cancer targeting: Biodistribution and Cytotoxicity analysis

description: The exploration of novel carriers for cancer treatments is on the rise, as drugs are often hindered by ineffective delivery to the tumor site. In the present study, Mesoporous silica nano scaffolds were developed by novel heat assisted hydrolysis (HAH) technique, and were functionalized using PLGA. These carriers were further loaded with nanosized Gefitinib (GTB). The surface properties of MSNs (GTB-PEG-PLGA-MSN) were enhanced using SPC3. The MSNs were characterized for pore volume, particle size, zeta potential (ZP), surface area, entrapment efficiency (�), and drug content. The <i>invitro</i> drug release kinetics, cytotoxicity analysis and <i>invivo</i> biodistribution studies were performed in optimized MSN using Albino Wistar rats. The result shows an increase in surface area, pore volume, �, and drug loading in MSN. <i>In vitro</i> cytotoxicity of optimized F5-GTB-PEG-PLGA-SPC3-MSN demonstrated a higher antitumor activity (43.84 ± 0.63%, <i>p&lt;</i>0.05) in comparison to free drug. A higher accumulation of GTB was detected in liver (29,415 ± 126 ng) indicating significant biodistribution (<i>p</i> &gt; 0.05). The <i>invitro</i> studies in MCF-7 cell line signify an increase in cell viability demonstrating its efficacy in breast cancer. Optimized F5-GTB-PEG-PLGA-SPC3-MSN offers improved cellular uptake, biodistribution and higher antitumor suppression with less toxicity. To conclude, HAH technique produced stable MSNs, and PLGA-SPC3 functionalized MSN nano scaffolds could be an ideal carrier for cancer drug delivery.
DOI: 10.17909/5c42-wc87
title: JWST/NIRSpec Observations of Wolf 1130C

description: JWST/NIRSpec Observations of Wolf 1130C reported in Burgasser et al. (2025)
DOI: 10.5281/zenodo.13320128
title: Coral Trait Database: Coraltraits test snapshot- Feb 24, 2021

description: https://eol-jira.bibalex.org/browse/DATA-1793
DOI: 10.5281/zenodo.13320127
title: Coral Trait Database: Coraltraits test snapshot- Feb 24, 2021

description: https://eol-jira.bibalex.org/browse/DATA-1793
DOI: 10.5281/zenodo.13319657
title: Miꞌkmaq names: Mikmaq names

description: compiled from 
https://novascotia.ca/nse/ea/meks/Mi%27kmaq-Ecological-Knowledge-Study.pdf AND 
https://meta.wikimedia.org/wiki/WikiLang/Mi%27kmaq_Animals
DOI: 10.5281/zenodo.13319656
title: Miꞌkmaq names: Mikmaq names

description: compiled from 
https://novascotia.ca/nse/ea/meks/Mi%27kmaq-Ecological-Knowledge-Study.pdf AND 
https://meta.wikimedia.org/wiki/WikiLang/Mi%27kmaq_Animals
DOI: 10.25318/3310085601-fra
title: Nombre d’entreprises au Canada, selon l’industrie et l’appartenance du propriétaire à un groupe autochtone

description: Nombre annuel d’entreprises selon le statut d’immigrant du propriétaire (admis il y a moins de 5 ans, admis il y a de 5 à 9 ans, etc.) et l’industrie selon le Système de classification des industries de l’Amérique du Nord (SCIAN).
DOI: 10.15468/dl.5qbtka
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ariosoma anago (Temminck & Schlegel, 1846)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 40 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000517-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m5qw8r
title: Occurrence Download

description: A dataset containing 157 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cedrela montana Moritz ex Turcz."
 ]
}

 The dataset includes 157 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000519-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c9wnmx
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Stelis melanopus (F.Lehm. & Kraenzl.) Karremans"
 ]
}

 The dataset includes 22 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000520-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5wqzpv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ariosoma mauritianum (Pappenheim, 1914)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000518-250213122211068/datasets/export for details.
DOI: 10.5281/zenodo.13240269
title: Test data sets: Amoebozoa Test

description: The Encyclopedia of Life (EOL, eol.org) aggregates biodiversity information from more than 400 sources and provides access to the data through taxon pages, visual query and application programming interfaces. Scientific names are essential elements of the data integration infrastructure, but their shortcomings as key identifiers are well documented (Patterson et al., 2016). Complex automated workflows and continuous manual curation are required to address idiosyncrasies of source taxonomies, variation in data quality, and conflicting taxonomic opinions. 

To achieve a harmonized taxonomic view of EOL content, names from data sources are mapped to a dynamic reference hierarchy ([see current version here](https://opendata.eol.org/dataset/tram-807-808-809-810-dh-v1-1/resource/00adb47b-57ed-4f6b-8f66-83bfdb5120e8)) using an algorithm that leverages canonical name strings, hierarchical information (ancestry, descendants), taxonomic ranks, synonym data, and author strings. Names that cannot be associated with a reference taxon are still accessible, but their unmapped status excludes them and any associated content from certain core EOL functions.

For more information about the EOL taxonomy, see [EOL Dynamic Hierarchy](https://eol.org/docs/eol-dynamic-hierarchy)
DOI: 10.5281/zenodo.13283237
title: Test data sets: Amoebozoa Test

description: The Encyclopedia of Life (EOL, eol.org) aggregates biodiversity information from more than 400 sources and provides access to the data through taxon pages, visual query and application programming interfaces. Scientific names are essential elements of the data integration infrastructure, but their shortcomings as key identifiers are well documented (Patterson et al., 2016). Complex automated workflows and continuous manual curation are required to address idiosyncrasies of source taxonomies, variation in data quality, and conflicting taxonomic opinions. 

To achieve a harmonized taxonomic view of EOL content, names from data sources are mapped to a dynamic reference hierarchy ([see current version here](https://opendata.eol.org/dataset/tram-807-808-809-810-dh-v1-1/resource/00adb47b-57ed-4f6b-8f66-83bfdb5120e8)) using an algorithm that leverages canonical name strings, hierarchical information (ancestry, descendants), taxonomic ranks, synonym data, and author strings. Names that cannot be associated with a reference taxon are still accessible, but their unmapped status excludes them and any associated content from certain core EOL functions.

For more information about the EOL taxonomy, see [EOL Dynamic Hierarchy](https://eol.org/docs/eol-dynamic-hierarchy)
DOI: 10.5281/zenodo.13283238
title: Test data sets: COLTest

description: The Encyclopedia of Life (EOL, eol.org) aggregates biodiversity information from more than 400 sources and provides access to the data through taxon pages, visual query and application programming interfaces. Scientific names are essential elements of the data integration infrastructure, but their shortcomings as key identifiers are well documented (Patterson et al., 2016). Complex automated workflows and continuous manual curation are required to address idiosyncrasies of source taxonomies, variation in data quality, and conflicting taxonomic opinions. 

To achieve a harmonized taxonomic view of EOL content, names from data sources are mapped to a dynamic reference hierarchy ([see current version here](https://opendata.eol.org/dataset/tram-807-808-809-810-dh-v1-1/resource/00adb47b-57ed-4f6b-8f66-83bfdb5120e8)) using an algorithm that leverages canonical name strings, hierarchical information (ancestry, descendants), taxonomic ranks, synonym data, and author strings. Names that cannot be associated with a reference taxon are still accessible, but their unmapped status excludes them and any associated content from certain core EOL functions.

For more information about the EOL taxonomy, see [EOL Dynamic Hierarchy](https://eol.org/docs/eol-dynamic-hierarchy)
DOI: 10.5281/zenodo.13310459
title: BotanicalEuropeana: Berlin-Dahlem, Europeana collection

description: Botanic Garden and Botanical Museum Berlin-Dahlem, via the Europeana portal: https://www.europeana.eu/portal/en/collections/natural-history?f%5BDATA_PROVIDER%5D%5B%5D=Botanic+Garden+and+Botanical+Museum+Berlin-Dahlem&q=&view=grid
Botanic Garden and Botanical Museum Berlin-Dahlem, via the Europeana portal: 
https://www.europeana.eu/portal/en/collections/natural-history?f%5BDATA_PROVIDER%5D%5B%5D=Botanic+Garden+and+Botanical+Museum+Berlin-Dahlem&q=&view=grid
DOI: 10.5281/zenodo.13319865
title: Water Body Checklists 2019: Gulf of Riga Species List

description: Species checklists created using effechecka and modified polygons from IHO. The polygons were reduced in resolution.List of species collected from the Gulf of Riga using effechecka and a modified polygon from the International Hydrographic Association. A filter was applied (based on data from WoRMS) to remove all non-marine taxa.
DOI: 10.5281/zenodo.13319864
title: Water Body Checklists 2019: Gulf of Riga Species List

description: Species checklists created using effechecka and modified polygons from IHO. The polygons were reduced in resolution.List of species collected from the Gulf of Riga using effechecka and a modified polygon from the International Hydrographic Association. A filter was applied (based on data from WoRMS) to remove all non-marine taxa.
DOI: 10.5281/zenodo.13313957
title: Diptera of Central America: Families (ZADBI.xlsx) [V2 resource ID = 678]

description: The Diptera, or true flies, are a huge group of insects that are familiar to most people. Worldwide there are about 153,000 validly described specie of flies, making them about 10% of the known diversity of life. Experts believe that most species of flies still have not been collected or described, however, and if all were known the group could number a million or more. Such an enormous number of species, coupled with their small body size, and the paucity of researchers working on them, makes Diptera one of the true frontiers of systematic research. Flies are found worldwide on every continent, with few species living in Antarctica and with tremendous numbers in tropical regions. There is no analysis comparing the number of species of Diptera from different continents or biogeographical regions, but use of the existing Diptera catalogs (some of which are badly out of date) leads to the impression that the Palearctic (Old World temperate) Region is the area with the most species of flies. This is purely an artifact of research effort, however, with generations of European dipterists working on their local fauna while tropical regions remained virtually untouched. An informal survery of the some of the authors of chapters in the Manual of Central American Diptera reinforces the more logical conclusion that the New World tropics, including Central America, are the most species-rich areas of the world for flies. http://phorid.net/zadbi
DOI: 10.5281/zenodo.13313956
title: Diptera of Central America: Families (ZADBI.xlsx) [V2 resource ID = 678]

description: The Diptera, or true flies, are a huge group of insects that are familiar to most people. Worldwide there are about 153,000 validly described specie of flies, making them about 10% of the known diversity of life. Experts believe that most species of flies still have not been collected or described, however, and if all were known the group could number a million or more. Such an enormous number of species, coupled with their small body size, and the paucity of researchers working on them, makes Diptera one of the true frontiers of systematic research. Flies are found worldwide on every continent, with few species living in Antarctica and with tremendous numbers in tropical regions. There is no analysis comparing the number of species of Diptera from different continents or biogeographical regions, but use of the existing Diptera catalogs (some of which are badly out of date) leads to the impression that the Palearctic (Old World temperate) Region is the area with the most species of flies. This is purely an artifact of research effort, however, with generations of European dipterists working on their local fauna while tropical regions remained virtually untouched. An informal survery of the some of the authors of chapters in the Manual of Central American Diptera reinforces the more logical conclusion that the New World tropics, including Central America, are the most species-rich areas of the world for flies. http://phorid.net/zadbi
DOI: 10.5281/zenodo.13315732
title: Tree carbon estimates

description: Estimated from wood density and plant height reports from literature sources. Version: Dec.28.2018
DOI: 10.5281/zenodo.13315733
title: Tree carbon estimates

description: Estimated from wood density and plant height reports from literature sources. Version: Dec.28.2018
DOI: 10.5281/zenodo.13323031
title: Cyanolichen Index (myspecies): Resource (109) DwCA

description: This is where EOL hosts source datasets (archives, dumps, etc.) from EOL content partners (especially partners without a web presence of their own).

This organization will also include the content partner utility files EOL connectors use to generate a particular content partner__s resource EOL archive or XML.

For questions or suggestions please visit the EOL Services forum at http://discuss.eol.org/c/eol-services
DOI: 10.5281/zenodo.13323030
title: Cyanolichen Index (myspecies): Resource (109) DwCA

description: This is where EOL hosts source datasets (archives, dumps, etc.) from EOL content partners (especially partners without a web presence of their own).

This organization will also include the content partner utility files EOL connectors use to generate a particular content partner__s resource EOL archive or XML.

For questions or suggestions please visit the EOL Services forum at http://discuss.eol.org/c/eol-services
DOI: 10.5281/zenodo.13318133
title: Legacy Partner Archive: (0138) Afrotropical Fruitfly Project

description: This is where EOL hosts source datasets (archives, dumps, etc.) from EOL content partners (especially partners without a web presence of their own).

This organization will also include the content partner utility files EOL connectors use to generate a particular content partner__s resource EOL archive or XML.

For questions or suggestions please visit the EOL Services forum at http://discuss.eol.org/c/eol-services
DOI: 10.5281/zenodo.13318134
title: Legacy Partner Archive: (0138) Afrotropical Fruitfly Project

description: This is where EOL hosts source datasets (archives, dumps, etc.) from EOL content partners (especially partners without a web presence of their own).

This organization will also include the content partner utility files EOL connectors use to generate a particular content partner__s resource EOL archive or XML.

For questions or suggestions please visit the EOL Services forum at http://discuss.eol.org/c/eol-services
DOI: 10.5281/zenodo.13293778
title: sample google map (EOL v3 test): raw eol google map
DOI: 10.5281/zenodo.13293777
title: sample google map (EOL v3 test): raw eol google map
DOI: 10.5281/zenodo.13316328
title: Plant Growth Form Data from NMNH Botany specimens

description: Plant growth form data from specimen labels in the collections of the Smithsonian National Museum of Natural History Botany Department, current version
DOI: 10.5281/zenodo.13316329
title: Plant Growth Form Data from NMNH Botany specimens

description: Plant growth form data from specimen labels in the collections of the Smithsonian National Museum of Natural History Botany Department, current version
DOI: 10.5281/zenodo.13322037
title: Çiçek et al: Çiçek et al, 2015

description: Çiçek, Erdoğan, Sevil Sungur Birecikligil, and Ronald Fricke. "Freshwater fishes of Turkey; a revised and updated annotated checklist." Biharean Biologists 9, no. 2 (2015): 141-157.Çiçek, Erdoğan, Sevil Sungur Birecikligil, and Ronald Fricke. 2015. "Freshwater fishes of Turkey; a revised and updated annotated checklist." Biharean Biologists 9, no. 2 (2015): 141-157.
DOI: 10.5281/zenodo.13322038
title: Çiçek et al: Çiçek et al, 2015

description: Çiçek, Erdoğan, Sevil Sungur Birecikligil, and Ronald Fricke. "Freshwater fishes of Turkey; a revised and updated annotated checklist." Biharean Biologists 9, no. 2 (2015): 141-157.Çiçek, Erdoğan, Sevil Sungur Birecikligil, and Ronald Fricke. 2015. "Freshwater fishes of Turkey; a revised and updated annotated checklist." Biharean Biologists 9, no. 2 (2015): 141-157.
DOI: 10.5281/zenodo.13322869
title: LifeDesks Archive: Dinoflagellate LifeDesk (99) DwCA

description: This is where EOL hosts source datasets (archives, dumps, etc.) from EOL content partners (especially partners without a web presence of their own).

This organization will also include the content partner utility files EOL connectors use to generate a particular content partner__s resource EOL archive or XML.

For questions or suggestions please visit the EOL Services forum at http://discuss.eol.org/c/eol-services
DOI: 10.5281/zenodo.13322870
title: LifeDesks Archive: Dinoflagellate LifeDesk (99) DwCA

description: This is where EOL hosts source datasets (archives, dumps, etc.) from EOL content partners (especially partners without a web presence of their own).

This organization will also include the content partner utility files EOL connectors use to generate a particular content partner__s resource EOL archive or XML.

For questions or suggestions please visit the EOL Services forum at http://discuss.eol.org/c/eol-services
DOI: 10.5281/zenodo.13305456
title: Catalogue of Life: Catalogue of Life 2018-03-28

description: Data sets for the assembly of the EOL dynamic hierarchy.
DOI: 10.5281/zenodo.13240364
title: Catalogue of Life: Catalogue of Life 2018-03-28

description: Data sets for the assembly of the EOL dynamic hierarchy.
DOI: 10.5281/zenodo.13240365
title: Catalogue of Life: Catalogue of Life 2018-03-28

description: Data sets for the assembly of the EOL dynamic hierarchy.
DOI: 10.5281/zenodo.13239738
title: DH2.1 working docs: DH1.1 working version

description: The Encyclopedia of Life (EOL, eol.org) aggregates biodiversity information from more than 400 sources and provides access to the data through taxon pages, visual query and application programming interfaces. Scientific names are essential elements of the data integration infrastructure, but their shortcomings as key identifiers are well documented (Patterson et al., 2016). Complex automated workflows and continuous manual curation are required to address idiosyncrasies of source taxonomies, variation in data quality, and conflicting taxonomic opinions. 

To achieve a harmonized taxonomic view of EOL content, names from data sources are mapped to a dynamic reference hierarchy ([see current version here](https://opendata.eol.org/dataset/tram-807-808-809-810-dh-v1-1/resource/00adb47b-57ed-4f6b-8f66-83bfdb5120e8)) using an algorithm that leverages canonical name strings, hierarchical information (ancestry, descendants), taxonomic ranks, synonym data, and author strings. Names that cannot be associated with a reference taxon are still accessible, but their unmapped status excludes them and any associated content from certain core EOL functions.

For more information about the EOL taxonomy, see [EOL Dynamic Hierarchy](https://eol.org/docs/eol-dynamic-hierarchy)
DOI: 10.5281/zenodo.13283230
title: DH2.1 working docs: DH2.1 working version November 2021

description: The Encyclopedia of Life (EOL, eol.org) aggregates biodiversity information from more than 400 sources and provides access to the data through taxon pages, visual query and application programming interfaces. Scientific names are essential elements of the data integration infrastructure, but their shortcomings as key identifiers are well documented (Patterson et al., 2016). Complex automated workflows and continuous manual curation are required to address idiosyncrasies of source taxonomies, variation in data quality, and conflicting taxonomic opinions. 

To achieve a harmonized taxonomic view of EOL content, names from data sources are mapped to a dynamic reference hierarchy ([see current version here](https://opendata.eol.org/dataset/tram-807-808-809-810-dh-v1-1/resource/00adb47b-57ed-4f6b-8f66-83bfdb5120e8)) using an algorithm that leverages canonical name strings, hierarchical information (ancestry, descendants), taxonomic ranks, synonym data, and author strings. Names that cannot be associated with a reference taxon are still accessible, but their unmapped status excludes them and any associated content from certain core EOL functions.

For more information about the EOL taxonomy, see [EOL Dynamic Hierarchy](https://eol.org/docs/eol-dynamic-hierarchy)
DOI: 10.5281/zenodo.13283232
title: DH2.1 working docs: DH2.1 working version November 2021

description: The Encyclopedia of Life (EOL, eol.org) aggregates biodiversity information from more than 400 sources and provides access to the data through taxon pages, visual query and application programming interfaces. Scientific names are essential elements of the data integration infrastructure, but their shortcomings as key identifiers are well documented (Patterson et al., 2016). Complex automated workflows and continuous manual curation are required to address idiosyncrasies of source taxonomies, variation in data quality, and conflicting taxonomic opinions. 

To achieve a harmonized taxonomic view of EOL content, names from data sources are mapped to a dynamic reference hierarchy ([see current version here](https://opendata.eol.org/dataset/tram-807-808-809-810-dh-v1-1/resource/00adb47b-57ed-4f6b-8f66-83bfdb5120e8)) using an algorithm that leverages canonical name strings, hierarchical information (ancestry, descendants), taxonomic ranks, synonym data, and author strings. Names that cannot be associated with a reference taxon are still accessible, but their unmapped status excludes them and any associated content from certain core EOL functions.

For more information about the EOL taxonomy, see [EOL Dynamic Hierarchy](https://eol.org/docs/eol-dynamic-hierarchy)
DOI: 10.5281/zenodo.13293723
title: Trait records sample: Carnivora traits from traitdb (ZIP of CSV files)

description: This file is part of an API design process and is placed here for internal review. It contains trait records for Carnivora, and neighboring files.This is going to similar to the previous set of CSV files, but with fewer tables and fewer columns, since it is derived from the neo4j traitdb instead of the whole back-end SQL database