cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/vt3lha
title: Simulation Results for: "Partisan differences in risk taking in a simulated pandemic"

description: Simulation output used for the calculation of simulated outcome curves
DOI: 10.7910/dvn/75e7hv
title: Agriculture Ontology for Meta-analysis (AOM): Livestock Prototype

description: The Animal Ontology for Livestock Trials (AOM) provides a standardized, interoperable framework for the annotation, integration, and analysis of livestock feed trial data. AOM v2 represents a major expansion and refinement of the original ontology, designed to support more comprehensive metadata representation and cross-database interoperability.

Compared to the initial release, AOM v2 incorporates data from over 600 livestock feed trial publications, significantly increasing the breadth and depth of experimental contexts, traits, and interventions represented. This expanded coverage ensures that AOM v2 reflects the current state of livestock nutrition research, especially in diverse agro-ecological systems.&lt;br&gt; &lt;br&gt; 


A key advancement in AOM v2 is the systematic alignment of feed ingredient definitions with external reference resources. Every ingredient term in AOM v2 is mapped to an existing unique identifier in one or both of the following internationally recognized feed composition databases, where applicable:&lt;br&gt; &lt;br&gt; 
&lt;ul&gt;
&lt;li&gt;Feedipedia : an expert-curated online resource for animal feed information&lt;/li&gt;
&lt;li&gt;ILRI Sub-Saharan Africa Feed Composition Database (SSA Feeds) : a regionally focused nutrient composition reference&lt;/li&gt;
&lt;/ul&gt;
These mappings allow seamless integration with external datasets, improve consistency in ingredient interpretation, and support cross-study comparability. All feed ingredients in AOM v2 are assigned unique and persistent ontology codes. These codes correspond to matching entries in Feedipedia or the SSA Feeds database when available, facilitating unambiguous identification of ingredients across systems and analytical workflows.&lt;br&gt;&lt;br&gt; 

Beyond feed composition, AOM v2 broadens its semantic coverage to include: Physiological stages of animals (e.g., lactation, growth phases), Farming system terminology reflecting production contexts Practice ontologies, including Grazing and pasture management, Pest and disease management and Other common livestock husbandry practices

This enriched vocabulary supports detailed characterization of experiment protocols, farm management strategies, and biological conditions encountered in livestock nutrition and production studies.

AOM v2 aims to include all essential terms needed to annotate, index, and analyze livestock feed trials with relevance to African research contexts and beyond. The ontology supports FAIR data principles by enabling interoperability between studies and databases, promoting reuse, and improving machine-actionable data linkage.
&lt;br&gt;
&lt;br&gt; 
Methodology:Concepts were harvested from Evidence for Resilience Agriculture (v0.0.1beta) and organized where possible according to existing ontologies.
DOI: 10.34740/kaggle/dsv/14574044
title: League of Legends(LoL) Matches Patch 25.19+
DOI: 10.15468/n3gcau
title: A new species of Faronus Aubé, 1844 (Coleoptera: Staphylinidae: Pselaphinae) from western Morocco

description: This dataset contains the digitized treatments in Plazi based on the original journal article Hlaváč, Peter, Kocian, Matúš (2025): A new species of Faronus Aubé, 1844 (Coleoptera: Staphylinidae: Pselaphinae) from western Morocco. Zootaxa 5717 (4): 589-592, DOI: 10.11646/zootaxa.5717.4.8, URL: https://doi.org/10.11646/zootaxa.5717.4.8AbstractA new species, Faronus agadiriensis sp. nov. from the mountain range near Agadir, Morocco is described and illustrated. The species has a highly characteristic aedeagus which readily separates it from all congeners. A distributional map for all African species of the genus is also provided.
DOI: 10.15468/dl.q3xkpk
title: Occurrence Download

description: A dataset containing 34041 records in GBIF matching the query:
SELECT
 '31' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= -33.06103686093294
 AND decimalLatitude &lt;= -28.773895969281842
 AND decimalLongitude &gt;= 140.73802309049617
 AND decimalLongitude &lt;= 150.2851466709212
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 34041 records were derived from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003210-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/55eycq
title: First record of the family Melyridae (Coleoptera: Cleroidea) in late Eocene European ambers with description of a new tribe, a new genus and seven new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Tshernyshev, Sergei E., Alekseev, Vitalii, Bukejs, Andris, Vasilenko, Dmitry V., Legalov, Andrej A., Perkovsky, Evgeny E. (2025): First record of the family Melyridae (Coleoptera: Cleroidea) in late Eocene European ambers with description of a new tribe, a new genus and seven new species. Zootaxa 5696 (4): 542-566, DOI: 10.11646/zootaxa.5696.4.5, URL: https://doi.org/10.11646/zootaxa.5696.4.5AbstractSeven new extinct species belonging to two subgenera (Amelyris Tshernyshev, Alekseev, Bukejs, Vasilenko, Legalov & Perkovsky, subgen. nov. and Asymelyris Tshernyshev, Alekseev, Bukejs, Vasilenko, Legalov & Perkovsky, subgen. nov.) within extinct genus Amelyris Tshernyshev, Alekseev, Bukejs, Vasilenko, Legalov & Perkovsky, gen. nov. are described and illustrated from inclusions in late Eocene European ambers (Baltic, Rovno, and Danish) as the first reliable fossils of the family Melyridae. The newly described taxa are included in the new tribe Amelyrini Tshernyshev, Alekseev, Bukejs, Vasilenko, Legalov & Perkovsky, trib. nov., which can be distinguished from the extant tribes of the subfamily by the following characters: (1) penultimate antennomeres oval-triangular with rounded edges, (2) elytral punctation between longitudinal carinae regular, arranged in three rows, (3) pronotum with strongly carinate lateral sides, (4) pronotal surface with pronounced foveolate punctation, (5) tarsomeres with strong semi-erect dark setae ventrally, and (6) body size comparatively small (2.5–3.8 mm). The keys to subfamilies and tribes of Melyridae, as well as to all species of the newly described genus, namely Amelyris (Amelyris) sveneldi Tshernyshev, Alekseev, Bukejs, Vasilenko, Legalov & Perkovsky, sp. nov., A. (Amelyris) elongatus Tshernyshev, Alekseev, Bukejs, Vasilenko, Legalov & Perkovsky, sp. nov., A. (Amelyris) tricarinatus Tshernyshev, Alekseev, Bukejs, Vasilenko, Legalov & Perkovsky, sp. nov., A. (Asymelyris) paucidentatus Tshernyshev, Alekseev, Bukejs, Vasilenko, Legalov & Perkovsky, sp. nov., A. (Asymelyris) lupatus Tshernyshev, Alekseev, Bukejs, Vasilenko, Legalov & Perkovsky, sp. nov., A. (Asymelyris) groehni Tshernyshev, Alekseev, Bukejs, Vasilenko, Legalov & Perkovsky, sp. nov., and A. (Asymelyris) jutlandicus Tshernyshev, Alekseev, Bukejs, Vasilenko, Legalov & Perkovsky, sp. nov., are provided.
DOI: 10.5281/zenodo.18330601
title: "I am what I am"

description: From Socio-Technical Systems Accountability Engineer → Training & Curriculum Designer
DOI: 10.5281/zenodo.15380247
title: Is There No Way Home? A Systematic Review of the Challenges and Opportunities in Educational Artificial Intelligence Integration

description: This literature review takes a closer look at how artificial intelligence (AI) is being integrated into education, pointing out both the promising opportunities and the challenges that come with it. While interest in using AI in educational settings continues to grow, much of the research remains scattered, and there hasn’t yet been a comprehensive effort to bring it all together. In this review, five key themes are explored: how AI supports teaching and curriculum development, its role in improving learning processes and data analytics, the benefits it offers, the obstacles that stand in the way of its adoption, and the ethical and regulatory concerns surrounding its use. The findings show that although AI holds strong potential for creating more personalized and efficient learning experiences, challenges like insufficient infrastructure, lack of proper training for educators, and ongoing ethical issues still need to be addressed. Out of an initial pool of 1,280 studies, a careful screening process led to the inclusion of 24 studies in the final analysis. To make the study selection process as clear and open as possible, the researchers followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework. This method allowed the researchers to clearly trace each phase of the selection, starting from eliminating duplicate records and excluding studies that were either irrelevant or unavailable, to finally identifying the ones most aligned with the goals of the review. By concentrating on the most relevant and well-conducted studies, the review emphasizes how essential it is for educators, policymakers, and technology experts to work together in addressing the ongoing challenges. In the end, the review offers a conceptual framework for how AI can shape future educational environments, providing a useful reference for upcoming strategies and a clearer picture of AI’s growing influence in education.
DOI: 10.5281/zenodo.15380248
title: Is There No Way Home? A Systematic Review of the Challenges and Opportunities in Educational Artificial Intelligence Integration

description: This literature review takes a closer look at how artificial intelligence (AI) is being integrated into education, pointing out both the promising opportunities and the challenges that come with it. While interest in using AI in educational settings continues to grow, much of the research remains scattered, and there hasn’t yet been a comprehensive effort to bring it all together. In this review, five key themes are explored: how AI supports teaching and curriculum development, its role in improving learning processes and data analytics, the benefits it offers, the obstacles that stand in the way of its adoption, and the ethical and regulatory concerns surrounding its use. The findings show that although AI holds strong potential for creating more personalized and efficient learning experiences, challenges like insufficient infrastructure, lack of proper training for educators, and ongoing ethical issues still need to be addressed. Out of an initial pool of 1,280 studies, a careful screening process led to the inclusion of 24 studies in the final analysis. To make the study selection process as clear and open as possible, the researchers followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework. This method allowed the researchers to clearly trace each phase of the selection, starting from eliminating duplicate records and excluding studies that were either irrelevant or unavailable, to finally identifying the ones most aligned with the goals of the review. By concentrating on the most relevant and well-conducted studies, the review emphasizes how essential it is for educators, policymakers, and technology experts to work together in addressing the ongoing challenges. In the end, the review offers a conceptual framework for how AI can shape future educational environments, providing a useful reference for upcoming strategies and a clearer picture of AI’s growing influence in education.
DOI: 10.60797/irj.2025.155.102.1
title: Уязвимости безопасности информации в медицинских информационных системах

description: Международный научно-исследовательский журнал, Выпуск 5 (155) 2025
DOI: 10.15468/dl.fdk9tq
title: Occurrence Download

description: A dataset containing 345 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sapajus libidinosus (Spix, 1823)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 345 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003922-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25921/3bkr-ra57
title: Virginia BOEM M15AC00010 Raw Audio Data
DOI: 10.15468/dl.4eppku
title: Occurrence Download

description: A dataset containing 1376 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Lutrogale perspicillata (I.Geoffroy Saint-Hilaire, 1826)"
 ]
}

 The dataset includes 1376 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007101-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bqg9jk
title: Occurrence Download

description: A dataset containing 653 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Trinycteris nicefori (Sanborn, 1949)"
 ]
}

 The dataset includes 653 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011950-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bkewx9
title: Occurrence Download

description: A dataset containing 1101 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Liriomyza trifolii (Burgess, 1880)"
 ]
}

 The dataset includes 1101 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013643-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pqbawy
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Verbena bonariensis L."
 ]
}

 The dataset includes 38 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013642-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gagvbm
title: Occurrence Download

description: A dataset containing 114677 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is New Zealand Fungal and Plant Disease Collection (PDD)"
 ]
}

 The dataset includes 114677 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013020-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3btfnb
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((84.60820 -13.59351,137.37064 -13.59351,137.37064 7.53000,84.60820 7.53000,84.60820 -13.59351))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Taxus sumatrana (Miq.) de Laub."
 ]
}

 The dataset includes 17 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015703-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wuqpm5
title: Occurrence Download

description: A dataset containing 227 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eptesicus chiriquinus Thomas, 1920"
 ]
}

 The dataset includes 227 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015704-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15577929
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250602q Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250602q Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.15577930
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250602q Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250602q Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.15468/dl.uw55w9
title: Occurrence Download

description: A dataset containing 795538 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Xeno-canto - Bird sounds from around the world"
 ]
}

 The dataset includes 795538 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003563-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aa9929
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "DatasetKey is one of (Natural History Museum (London) Collection Specimens, Référentiel taxonomique national (TAXREF)-Inventaire des Collectivités d'outre-mer et de la métropole issu des données biogéographiques de TAXREF, Naturalis Biodiversity Center (NL) - Mollusca, MIZ PAS Zoological Collections, Référentiel taxonomique national (TAXREF) - Inventaire des Collectivités d'outre-mer et de la métropole (ICOM_15) issu des données biogéographiques de TAXREF v15, FBIP:ELM: Malacology Collections, Référentiel taxonomique national (TAXREF) - Inventaire des Collectivités d'outre-mer et de la métropole (ICOM_14) issu des données biogéographiques de TAXREF v14, CardObs : Observations naturalistes issues de l'outil de saisie et gestion CardObs mis en place par le Service du Patrimoine Naturel (MNHN) / UMS PatriNat (OFB - CNRS - MNHN) - Données naturalistes d'Olivier GARGOMINY saisies sous cardObs, iNaturalist Research-grade Observations, Mollusca Collection (MHNG-MOLL) of Muséum d'histoire naturelle de Genève)",
 "Issue is Coordinate rounded",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (9661d20d-86b6-4485-8948-f3c86b022fa7, e147be40-75eb-11d9-b257-b8a03c50a862, 19456090-b49a-11d8-abeb-b8a03c50a862, c5f7ef70-e233-11d9-a4d6-b8a03c50a862, 396d5f30-dea9-11db-8ab4-b8a03c50a862, 1928bdf0-f5d2-11dc-8c12-b8a03c50a862, 28eb1a3f-1c15-4a95-931a-4af90ecb574d)",
 "TaxonKey is Laevicaulis alte"
 ]
}

 The dataset's 1 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003564-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xp947h
title: Occurrence Download

description: A dataset containing 795538 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Xeno-canto - Bird sounds from around the world"
 ]
}

 The dataset includes 795538 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003565-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dv5je8
title: Occurrence Download

description: A dataset containing 413464 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Asteraceae"
 ]
}

 The dataset includes 413464 records from 325 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003566-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.97xpkd
title: Occurrence Download

description: A dataset containing 2179 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Martes martes"
 ]
}

 The dataset includes 2179 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003571-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x733sc
title: Occurrence Download

description: A dataset containing 755190 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Citrullus ecirrhosus, Lagenaria siceraria, Metrosideros polymorpha, Momordica charantia, Acorus gramineus, Acorus calamus, Avena clauda, Cereus jamacaru, Chrysanthemum makinoi, Cucumis metuliferus, Flemingia macrophylla, Gossypioides kirkii, Hippophae neurocarpa, Hippophae rhamnoides, Leersia perrieri, Lindera aggregata, Mentha suaveolens, Oldenlandia corymbosa, Oryza glaberrima, Peganum multisectum, Quercus dentata, Quercus gilva, Quercus glauca, Quercus variabilis, Roscoea debilis, Sesbania cannabina, Vaccinium duclouxii, Victoria cruziana, Vigna umbellata, Oryza barthii, Ostryopsis davidiana, Sageretia thea, Acacia melanoxylon, Capsicum annuum, Datura stramonium, Eucalyptus erythrocorys, Eucalyptus tenuipes, Flueggea virosa, Gossypium bickii, Gossypium raimondii, Gossypium rotundifolium, Hippophae gyantsensis, Iodes seguinii, Musa textilis, Ophiorrhiza pumila, Oryza australiensis, Sherardia arvensis, Solanum atropurpureum)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 755190 records from 3657 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003562-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7j6xag
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dioscorea poilanei Prain & Burkill"
 ]
}

 The dataset includes 13 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013060-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.