cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29052662
title: <b>Glucose</b> <b>control among women with gestational diabetes and early offspring’s growth</b>

description: <b>Table S1.</b> Anthropometry of infants born of mothers with gestational diabetes according to their glucose control during pregnancy and infants’ age. Morelos, Mexico 2015-2018.2<b>Table S2. </b>Growth of infants born from mothers with gestational diabetes according to their age from fully adjusted<sup>a</sup> models. Morelos, Mexico, 2015-2018.3<b>Table S3. </b>Predicted<sup>a</sup> anthropometric z-scores of infants born from mothers with gestational diabetes according to their glucose control during pregnancy by gestational age at birth. Morelos, Mexico, 2015-2018.4<b>Figure S1. </b>Study flow chart. Morelos, Mexico 2015-2018.5
DOI: 10.15468/dl.r7adrq
title: Occurrence Download

description: A dataset containing 30065 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cervus canadensis Erxleben, 1777"
 ]
}

 The dataset includes 30065 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028770-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/2j3mnd
title: Fauna and Ecology of Western Fergana Stink Bugs (Heteroptera: Pentatomoidea)

description: Data publication of approximately 212 collection specimens for type of animals
DOI: 10.6084/m9.figshare.29047328
title: Database of coffee leaves and source code

description: The database used for the system based on convolutional neural networks (CNN) for image classification and pattern recognition, based on Artificial Intelligence (AI), which allowed the recognition of diseases in coffee crops, is presented.
DOI: 10.5281/zenodo.15391927
title: Artefact segmentation in digital pathology whole-slide images: pen markings binary masks

description: This dataset contains 51 binary segmentation masks for pen markings observed on publicly available Whole Slide Images (WSIs) from The Cancer Genome Atlas (TCGA). The original WSIs are not included due to licensing constraints, but the corresponding file names are provided for reference in the correspondence file. 

Each binary mask (PNG format) highlights regions with visible pen markings, whether located on tissue or background. All annotations were manually created by a Master's student in Biomedical Engineering (non-expert in pathology) as part of a master's thesis on digital pathology quality control. 

The dataset is split into different folders:



Train: 40 images

Validation: 6 images

Test: 5 images


The TCGA images were extracted at x2.5 magnification.

Use Case:The dataset is suitable for training and evaluating artefact detection models, especially in preprocessing pipelines aiming to improve the quality of computational pathology workflows.
DOI: 10.5281/zenodo.15391928
title: Artefact segmentation in digital pathology whole-slide images: pen markings binary masks

description: This dataset contains 51 binary segmentation masks for pen markings (blue, black, red, and green) observed on publicly available Whole Slide Images (WSIs) from The Cancer Genome Atlas (TCGA). The original WSIs are not included due to licensing constraints, but the corresponding file names are provided for reference in the correspondence file. 

Each binary mask (PNG format) highlights regions with visible pen markings, whether located on tissue or background. All annotations were manually created by a Master's student in Biomedical Engineering (non-expert in pathology) as part of a master's thesis on digital pathology quality control. 

The dataset is split into different folders:



Train: 40 images

Validation: 6 images

Test: 5 images


The TCGA images were extracted at x2.5 magnification.

Use Case:The dataset is suitable for training and evaluating artefact detection models, especially in preprocessing pipelines aiming to improve the quality of computational pathology workflows.
DOI: 10.5281/zenodo.15399148
title: Artefact segmentation in digital pathology whole-slide images: pen markings binary masks

description: This dataset contains 51 binary segmentation masks for pen markings observed on publicly available Whole Slide Images (WSIs) from The Cancer Genome Atlas (TCGA). The original WSIs are not included due to licensing constraints, but the corresponding file names are provided for reference in the correspondence file. 

Each binary mask (PNG format) highlights regions with visible pen markings, whether located on tissue or background. All annotations were manually created by a Master's student in Biomedical Engineering (non-expert in pathology) as part of a master's thesis on digital pathology quality control. 

The dataset is split into different folders:



Train: 40 images

Validation: 6 images

Test: 5 images


The TCGA images were extracted at x2.5 magnification.

Use Case:The dataset is suitable for training and evaluating artefact detection models, especially in preprocessing pipelines aiming to improve the quality of computational pathology workflows.
DOI: 10.15468/dl.44g7yw
title: Occurrence Download

description: A dataset containing 161 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thyrosticta Hampson, 1898"
 ]
}

 The dataset includes 161 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028774-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15399193
title: База данных: материалы к словарю рифм Г. Р. Державина

description: База данных: материалы к словарю рифм Г. Р. Державина. Исследование выполнено за счёт гранта Российского научного фонда (проект № 24-78-00090) в Институте мировой культуры Московского государственного университета имени М. В. Ломоносова.
DOI: 10.5281/zenodo.15399194
title: База данных: материалы к словарю рифм Г. Р. Державина

description: База данных: материалы к словарю рифм Г. Р. Державина. Исследование выполнено за счёт гранта Российского научного фонда (проект № 24-78-00090) в Институте мировой культуры Московского государственного университета имени М. В. Ломоносова.
DOI: 10.5281/zenodo.13239663
title: EOL Dynamic Hierarchy: DH223test.zip

description: Currently active Dynamic Hierarchy and archived versions.  For more information, see: https://eol.org/docs/eol-dynamic-hierarchy
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.13305317
title: EOL Dynamic Hierarchy version 2.2.3

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. 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) 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.
DOI: 10.5281/zenodo.14834854
title: EOL Dynamic Hierarchy version 2.2.5 taxon file with higherClassification

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. 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) 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.
DOI: 10.5281/zenodo.14834871
title: EOL Dynamic Hierarchy version 2.2.5

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. 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) 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.
DOI: 10.15468/dl.5pewh6
title: Occurrence Download

description: A dataset containing 38308 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Streptopelia decaocto (Frivaldszky, 1838)",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is Türkiye",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 38308 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028775-250426092105405/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.cc2kfl7v
title: CCDC 2366547: Experimental Crystal Structure Determination

description: Related Article: Vijay S. Parmar, Gemma K. Gransbury, Sophie C. Corner, Wei-Hao Chou, Stephen Hill, Richard E. P. Winpenny, Nicholas F. Chilton, David P. Mills|2025|Dalton Trans.|54|7616|doi:10.1039/D5DT00862J
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.cc2kfl8w
title: CCDC 2366548: Experimental Crystal Structure Determination

description: Related Article: Vijay S. Parmar, Gemma K. Gransbury, Sophie C. Corner, Wei-Hao Chou, Stephen Hill, Richard E. P. Winpenny, Nicholas F. Chilton, David P. Mills|2025|Dalton Trans.|54|7616|doi:10.1039/D5DT00862J
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.cc2kfl9x
title: CCDC 2366549: Experimental Crystal Structure Determination

description: Related Article: Vijay S. Parmar, Gemma K. Gransbury, Sophie C. Corner, Wei-Hao Chou, Stephen Hill, Richard E. P. Winpenny, Nicholas F. Chilton, David P. Mills|2025|Dalton Trans.|54|7616|doi:10.1039/D5DT00862J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.jpdhfn
title: Occurrence Download

description: A dataset containing 38308 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Streptopelia decaocto (Frivaldszky, 1838)",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is Türkiye",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 38308 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028776-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sw79ne
title: Occurrence Download

description: A dataset containing 646098 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2025-04-18",
 "EventDate is less than or equal to 2025-05-18",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 646098 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028768-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.39b92t
title: Occurrence Download

description: A dataset containing 2307 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Muntiacus vaginalis (Boddaert, 1785)"
 ]
}

 The dataset includes 2307 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028779-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k2tynv
title: Occurrence Download

description: A dataset listing the 7 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Museu Paraense Emílio Goeldi - Hexapoda Collection",
 "TaxonKey is Ranatra Fabricius, 1790"
 ]
}

 The dataset's 7 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028773-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25573/data.29052689
title: Consensus sequence of alignment of IRBP gene from 33 published sequences and used as reference for mapping <i>Pithecheir</i> and <i>Pithecheirops</i> sequences.

description: See project description.
DOI: 10.25573/data.29052689.v1
title: Consensus sequence of alignment of IRBP gene from 33 published sequences and used as reference for mapping <i>Pithecheir</i> and <i>Pithecheirops</i> sequences.

description: See project description.
DOI: 10.15468/dl.jp8y6v
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kazakhstan",
 "TaxonKey is Hemiechinus auritus (Gmelin, 1770)"
 ]
}

 The dataset includes 68 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028782-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nem3dz
title: Occurrence Download

description: A dataset containing 1060 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-96.83249 28.60363,-69.56465 23.8784,-54.77778 50.72129,-93.71224 49.75119,-96.83249 28.60363))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Perilampus Latreille, 1809"
 ]
}

 The dataset includes 1060 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028781-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15784/601929
title: Phytoplankton growth rates with siderophore and phytic acid

description: Exponential growth rates of various marine phytoplankton strain in different iron conditions and with amendments of the siderophore desferrioxamine B or with phytic acid
DOI: 10.15468/dl.4qgyjw
title: Occurrence Download

description: A dataset containing 7396 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Observation.org, Nature data from around the World",
 "Geometry POLYGON((-70.11008 12.35915,-69.81468 12.35915,-69.81468 12.64872,-70.11008 12.64872,-70.11008 12.35915))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7396 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028783-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dww4jy
title: Occurrence Download

description: A dataset containing 20250 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is EMBRAPA FLORESTAS | Soil macrofauna communities in various land use systems in Jaguapitã, Paraná, Brazil"
 ]
}

 The dataset includes 20250 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028784-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ws435
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kazakhstan",
 "TaxonKey is Lepus timidus Linnaeus, 1758"
 ]
}

 The dataset includes 40 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028785-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4pn24z
title: Occurrence Download

description: A dataset containing 20250 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is EMBRAPA FLORESTAS | Soil macrofauna communities in various land use systems in Jaguapitã, Paraná, Brazil"
 ]
}

 The dataset includes 20250 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028786-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a3bgu3
title: Occurrence Download

description: A dataset containing 12649 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Herbario CTES Plantas Vasculares"
 ]
}

 The dataset includes 12649 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028787-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15399250
title: Association between genetic and acoustic variation in Ranitomeya imitator

description: Pre-review repository for the submitted manuscript "Evidence for an association between genetic and acoustic variation in the mimic poison frog Ranitomeya imitator.
DOI: 10.5281/zenodo.15399251
title: Association between genetic and acoustic variation in Ranitomeya imitator

description: Pre-review repository for the submitted manuscript "Evidence for an association between genetic and acoustic variation in the mimic poison frog Ranitomeya imitator.
DOI: 10.15468/dl.5emjpy
title: Occurrence Download

description: A dataset containing 17887 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Loxodonta africana (Blumenbach, 1797)"
 ]
}

 The dataset includes 17887 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028788-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.