cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/f96-sgb-5kj
title: Capulus Montfort, 1810

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mtf-tp8-gck
title: Calyptraea mamillaris Broderip, 1834

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/myr-1wt-ayc
title: Alvania canariensis (A. d'Orbigny, 1840)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/z2p-pzs-qtb
title: Ovula ovum (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jgw-arf-nrv
title: Charonia lampas (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2rl-mxa-pgb
title: Thiaridae Gill, 1871 (1823)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/719-j9k-yzp
title: Caecum trachea (Montagu, 1803)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4zh-ps0-n85
title: Melanopsis buccinoidea (Olivier, 1801)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/z87-l6p-rwa
title: Tarebia H. Adams & A. Adams, 1854

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/h8b-pfg-7tx
title: Rissoa variabilis (Megerle von Mühlfeld, 1824)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/r94-n3q-53s
title: Coralliophila robillardi (Liénard, 1870)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nfw-vn4-0eb
title: Euspira macilenta (R. A. Philippi, 1844)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pm2-99p-s69
title: Rissoa splendida Eichwald, 1830

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3jb-q87-hkz
title: Crepidula onyx G. B. Sowerby I, 1824

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hek-bwz-bdp
title: Nucleolaria nucleus (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/q4g-p7s-51f
title: Rhinoclavis aspera (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ztm-mgw-6at
title: Columbella adansoni Menke, 1853

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ac3-vy3-et9
title: Calyptraea chinensis (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fwx-9b0-hsy
title: Pelicaria vermis (Martyn, 1784)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lal-cz3-yxw
title: Rimellopsis powisii (Petit de la Saussaye, 1840)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/egy-bf4-czt
title: Natica fasciata (Röding, 1798)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/t2s-3tk-xkh
title: Gemophos viverratus (Kiener, 1834)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dl4-qmw-51n
title: Cryptonatica adamsiana (Dunker, 1860)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hma-q5k-k1g
title: Doryssa geijskesi Pain, 1956

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.pxyhyg
title: Occurrence Download

description: A dataset containing 755 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Liua shihi"
 ]
}

 The dataset includes 755 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010361-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/8xf-c4w-s4c
title: Cerithiopsis minima (Brusina, 1865)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ev6-hhj-s54
title: Rissoa ventricosa Desmarest, 1814

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5281/zenodo.16884803
title: VARIANTES: TAMBÉM
DOI: 10.5281/zenodo.16884804
title: VARIANTES: TAMBÉM
DOI: 10.3535/9qr-l2j-a4a
title: Marshallora adversa (Montagu, 1803)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.22eq8n
title: Occurrence Download

description: A dataset containing 3614043 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Passer montanus"
 ]
}

 The dataset includes 3614043 records from 1674 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010287-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17295912
title: GLODEM (Global Digital Education Management) Dataset

description: The urgency to comprehend the implications of digital intelligence on the management of education has never been greater. Universities globally are under the pressure of expanding access, assuring equity, and simultaneously competing in a climate characterized by rapid digitalization (Knight & Gašević, 2023). The Global Digital Education Management (GLODEM) Dataset responds to this demand by providing cross-country and cross-sector empirical evidence on the relation between readiness of infrastructure, technological capability, governance and adaptability to sustained transformative change (Nguyen et al., 2021). It has scope that covers 92 institutions proportionally sampled from the Times Higher Education World University Rankings. This ensures methodological soundness and global representativeness (UNESCO, 2024). The dataset informs policy discussions at the global, regional, and local levels owing to the ability to make direct comparisons across 20 countries and the differing resource endowments and governance frameworks in place.

This aids scholars in analyzing different theories regarding adoption, digital governance, and adjustments to higher education institutions (Komljenovic, 2024). The dataset builds upon the Unified Theory of Acceptance and Use of Technology by adding factors, such as the equity of the adoption infrastructure, the capacity of governance, and cultural adaptability, which have previously been omitted in the literature on technology adoption (Fernández et al., 2023). Unlike previous datasets, this one is distinctive because it combines scale, cross-border country classification, and empirical econometrics, thus being the first dataset to explicitly connect the drivers of adoption to tangible transformation (Inamorato dos Santos et al., 2023). Most importantly, the analysis shows that infrastructure is the strongest predictor of transformation, followed by capability, and governance with cultural adaptability serving a moderating role (HolonIQ, 2024). These findings bridge the gap between theoretical literature on the adoption of technology and global challenges on educational inequity and systemic injustice. This dataset enhances open science by providing reproducible, transparent, and publicly available indicators under a CC BY 4.0. It focuses on actionable insights: universities should ensure availability of bandwidth and digital repositories before implementing any high-level analytics; governance frameworks should receive as much funding as technology; text Multilateral agencies should consider cultural adaptability as a core prerequisite to technology transformation.

This dataset contributes to theory by incorporating global governance, infrastructure equity, and institutional adaptability to the Unified Theory of Acceptance and Use of Technology, which extends the framework’s descriptive adequacy and articulates an enhanced lens through which to assess the phenomena of digital transformation in higher education systems. It ties findings to global rather than merely local discourse.
DOI: 10.5281/zenodo.17512471
title: GLODEM (Global Digital Education Management) Dataset

description: The urgency to comprehend the implications of digital intelligence on the management of education has never been greater. Universities globally are under the pressure of expanding access, assuring equity, and simultaneously competing in a climate characterized by rapid digitalization (Knight & Gašević, 2023). The Global Digital Education Management (GLODEM) Dataset responds to this demand by providing cross-country and cross-sector empirical evidence on the relation between readiness of infrastructure, technological capability, governance and adaptability to sustained transformative change (Nguyen et al., 2021). It has scope that covers 92 institutions proportionally sampled from the Times Higher Education World University Rankings. This ensures methodological soundness and global representativeness (UNESCO, 2024). The dataset informs policy discussions at the global, regional, and local levels owing to the ability to make direct comparisons across 20 countries and the differing resource endowments and governance frameworks in place.

This aids scholars in analyzing different theories regarding adoption, digital governance, and adjustments to higher education institutions (Komljenovic, 2024). The dataset builds upon the Unified Theory of Acceptance and Use of Technology by adding factors, such as the equity of the adoption infrastructure, the capacity of governance, and cultural adaptability, which have previously been omitted in the literature on technology adoption (Fernández et al., 2023). Unlike previous datasets, this one is distinctive because it combines scale, cross-border country classification, and empirical econometrics, thus being the first dataset to explicitly connect the drivers of adoption to tangible transformation (Inamorato dos Santos et al., 2023). Most importantly, the analysis shows that infrastructure is the strongest predictor of transformation, followed by capability, and governance with cultural adaptability serving a moderating role (HolonIQ, 2024). These findings bridge the gap between theoretical literature on the adoption of technology and global challenges on educational inequity and systemic injustice. This dataset enhances open science by providing reproducible, transparent, and publicly available indicators under a CC BY 4.0. It focuses on actionable insights: universities should ensure availability of bandwidth and digital repositories before implementing any high-level analytics; governance frameworks should receive as much funding as technology; text Multilateral agencies should consider cultural adaptability as a core prerequisite to technology transformation.

This dataset contributes to theory by incorporating global governance, infrastructure equity, and institutional adaptability to the Unified Theory of Acceptance and Use of Technology, which extends the framework’s descriptive adequacy and articulates an enhanced lens through which to assess the phenomena of digital transformation in higher education systems. It ties findings to global rather than merely local discourse.
DOI: 10.15468/dl.skfxdr
title: Occurrence Download

description: A dataset containing 3966 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Singapore",
 "Year is 2016",
 "InstitutionCode is iNaturalist"
 ]
}

 The dataset includes 3966 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012665-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17512443
title: Exámenes de conducir por autoescuela en la provincia de Canarias

description: Exámenes de conducir por autoescuela en la provincia de CanariasContenido del datasetEl conjunto de datos contiene las siguientes variables:





nombre: Nombre de la autoescuela o centro examinador.




lat, lon: Coordenadas geográficas del centro de examen.




codigo_centro: Identificador único del centro de examen.




codigo_autoescuela: Identificador único de la autoescuela.




codigo_seccion: Código de sección administrativa o territorial del centro.




direccion: Dirección física de la autoescuela o del centro de examen.




telefono: Número de contacto de la autoescuela.




email: Correo electrónico de la autoescuela.




provincia: Provincia donde se encuentra la autoescuela o centro de examen.




centro_examen: Nombre del centro donde se realiza el examen.




NOMBRE_AUTOESCUELA: Nombre oficial de la autoescuela.




month, year: Mes y año en que se realizó el examen.




tipo_examen: Tipo de examen (teórico, práctico, etc.).




permiso: Tipo de permiso de conducción (B, A, C, etc.).




aptos: Total de alumnos aprobados.




aptos_primera_conv: Aprobados en primera convocatoria.




aptos_segunda_conv: Aprobados en segunda convocatoria.




aptos_tercera_o_cuarta_conv: Aprobados en tercera o cuarta convocatoria.




aptos_quinta_conv: Aprobados en quinta convocatoria.




no_aptos: Alumnos que no aprobaron.




presentados: Total de alumnos presentados al examen.
DOI: 10.5281/zenodo.17512444
title: Exámenes de conducir por autoescuela en la provincia de Canarias

description: Exámenes de conducir por autoescuela en la provincia de CanariasContenido del datasetEl conjunto de datos contiene las siguientes variables:





nombre: Nombre de la autoescuela o centro examinador.




lat, lon: Coordenadas geográficas del centro de examen.




codigo_centro: Identificador único del centro de examen.




codigo_autoescuela: Identificador único de la autoescuela.




codigo_seccion: Código de sección administrativa o territorial del centro.




direccion: Dirección física de la autoescuela o del centro de examen.




telefono: Número de contacto de la autoescuela.




email: Correo electrónico de la autoescuela.




provincia: Provincia donde se encuentra la autoescuela o centro de examen.




centro_examen: Nombre del centro donde se realiza el examen.




NOMBRE_AUTOESCUELA: Nombre oficial de la autoescuela.




month, year: Mes y año en que se realizó el examen.




tipo_examen: Tipo de examen (teórico, práctico, etc.).




permiso: Tipo de permiso de conducción (B, A, C, etc.).




aptos: Total de alumnos aprobados.




aptos_primera_conv: Aprobados en primera convocatoria.




aptos_segunda_conv: Aprobados en segunda convocatoria.




aptos_tercera_o_cuarta_conv: Aprobados en tercera o cuarta convocatoria.




aptos_quinta_conv: Aprobados en quinta convocatoria.




no_aptos: Alumnos que no aprobaron.




presentados: Total de alumnos presentados al examen.
DOI: 10.15468/dl.wktbbk
title: Occurrence Download

description: A dataset containing 10173 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Singapore",
 "Year is 2017",
 "InstitutionCode is iNaturalist"
 ]
}

 The dataset includes 10173 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012666-251025141854904/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.cc2m996g
title: CCDC 2422005: Experimental Crystal Structure Determination

description: Related Article: Meng Liu, Dylan Bouëtard, Jakub Talcik, Jan Lorkowski, Ziyun Zhang, Thomas Vives, Thierry Roisnel, Muriel Serradeil-Albalat, Nicolas Vanthuyne, Luigi Cavallo, Laura Falivene, Rodolphe Jazzar, Marc Mauduit|2025|JACS Au|||doi:10.1021/jacsau.5c01098
description: Related Article: Meng Liu, Dylan Bouëtard, Jakub Talcik, Jan Lorkowski, Ziyun Zhang, Thomas Vives, Thierry Roisnel, Muriel Serradeil-Albalat, Nicolas Vanthuyne, Luigi Cavallo, Laura Falivene, Rodolphe Jazzar, Marc Mauduit|2025|ChemRxiv|||doi:10.26434/chemrxiv-2025-82kcw
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.cc2m997h
title: CCDC 2422006: Experimental Crystal Structure Determination

description: Related Article: Meng Liu, Dylan Bouëtard, Jakub Talcik, Jan Lorkowski, Ziyun Zhang, Thomas Vives, Thierry Roisnel, Muriel Serradeil-Albalat, Nicolas Vanthuyne, Luigi Cavallo, Laura Falivene, Rodolphe Jazzar, Marc Mauduit|2025|JACS Au|||doi:10.1021/jacsau.5c01098
description: Related Article: Meng Liu, Dylan Bouëtard, Jakub Talcik, Jan Lorkowski, Ziyun Zhang, Thomas Vives, Thierry Roisnel, Muriel Serradeil-Albalat, Nicolas Vanthuyne, Luigi Cavallo, Laura Falivene, Rodolphe Jazzar, Marc Mauduit|2025|ChemRxiv|||doi:10.26434/chemrxiv-2025-82kcw
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.cc2m998j
title: CCDC 2422007: Experimental Crystal Structure Determination

description: Related Article: Meng Liu, Dylan Bouëtard, Jakub Talcik, Jan Lorkowski, Ziyun Zhang, Thomas Vives, Thierry Roisnel, Muriel Serradeil-Albalat, Nicolas Vanthuyne, Luigi Cavallo, Laura Falivene, Rodolphe Jazzar, Marc Mauduit|2025|JACS Au|||doi:10.1021/jacsau.5c01098
description: Related Article: Meng Liu, Dylan Bouëtard, Jakub Talcik, Jan Lorkowski, Ziyun Zhang, Thomas Vives, Thierry Roisnel, Muriel Serradeil-Albalat, Nicolas Vanthuyne, Luigi Cavallo, Laura Falivene, Rodolphe Jazzar, Marc Mauduit|2025|ChemRxiv|||doi:10.26434/chemrxiv-2025-82kcw
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.tfkvxm
title: Occurrence Download

description: A dataset containing 14606 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Singapore",
 "Year is 2018",
 "InstitutionCode is iNaturalist"
 ]
}

 The dataset includes 14606 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012668-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34894/qmsacr
title: Data for Systemic biodiversity litigation: How litigation addresses structural causes and drivers of biodiversity loss

description: Annex 1 contains a list of organizations whose websites were scanned for relevant litigation cases. &lt;br&gt; Annex 2 provides the full list of all litigation cases that were found. The cases are ordered by strategy. The Annex includes a reference to the case documents, a short description of all the cases that were found, as well as the case name, country, and the issue that the litigation case focuses on.
DOI: 10.6084/m9.figshare.30518312
title: <b>From root to result: portable NIRS-based non-destructive prediction of cassava quality traits</b>

description: Raw spectral dataset collected using near-infrared spectroscopy (NIRS) with a portable SCiO spectrometer (Consumer Physics Inc., Tel Aviv, Israel)
DOI: 10.6084/m9.figshare.30518312.v1
title: <b>From root to result: portable NIRS-based non-destructive prediction of cassava quality traits</b>

description: Raw spectral dataset collected using near-infrared spectroscopy (NIRS) with a portable SCiO spectrometer (Consumer Physics Inc., Tel Aviv, Israel)
DOI: 10.15468/dl.u4ry8d
title: Occurrence Download

description: A dataset containing 121605 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Actaea spicata"
 ]
}

 The dataset includes 121605 records from 548 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012649-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17512478
title: MBIOME: A Comprehensive Amplicon-based Microbiome Analysis Workflow for everyone

description: Data files for the comparative analysis part of the paper "MBIOME: A Comprehensive Amplicon-based Microbiome Analysis Workflow for everyone". 

This project is linked to the following GitHub repository: https://github.com/ZabalaAitor/ComparativeAnalysisOfMbiome.git

The data folder contains a relative abundance table for each of the pipelines that are later compare.
DOI: 10.5281/zenodo.17512479
title: MBIOME: A Comprehensive Amplicon-based Microbiome Analysis Workflow for everyone

description: Data files for the comparative analysis part of the paper "MBIOME: A Comprehensive Amplicon-based Microbiome Analysis Workflow for everyone". 

This project is linked to the following GitHub repository: https://github.com/ZabalaAitor/ComparativeAnalysisOfMbiome.git

The data folder contains a relative abundance table for each of the pipelines that are later compare.
DOI: 10.15468/dl.7qbj3j
title: Occurrence Download

description: A dataset containing 6254 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rattus rattus",
 "HasCoordinate is true",
 "Country is Spain"
 ]
}

 The dataset includes 6254 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012669-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.br4zeh
title: Occurrence Download

description: A dataset containing 20826 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rattus rattus",
 "HasCoordinate is true",
 "Country is Portugal"
 ]
}

 The dataset includes 20826 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012670-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.urx5m3
title: Occurrence Download

description: A dataset containing 161 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rattus rattus",
 "HasCoordinate is true",
 "Country is Germany"
 ]
}

 The dataset includes 161 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012671-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.