cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.fg6myj
title: Occurrence Download

description: A dataset containing 5272 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calephelis nemesis (Edwards, 1871)"
 ]
}

 The dataset includes 5272 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010867-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16609945
title: Bridging Digital Transformation and Sustainability in SMEs: A Bibliometric Insight into Economic and Theoretical Perspectives

description: Objective: This study aims to map the intellectual structure and research evolution of digital transformation in Small and Medium Enterprises (SMEs), with a specific focus on trends, theoretical frameworks, and alignment with sustainability. It addresses four research questions related to global publication trends, dominant research themes, theoretical foundations, and links to the Sustainable Development Goals (SDGs).

Methodology: A bibliometric analysis was conducted using 616 open-access journal articles published between 2019 and 2025, retrieved from the Scopus database. The analysis was performed using Biblioshiny and VOSviewer, incorporating co-occurrence network analysis, factorial mapping, and keyword clustering. The findings were interpreted using the Technology–Organization–Environment (TOE) framework, Resource-Based View (RBV), and Dynamic Capabilities Theory.

Findings: The study reveals significant growth in publication numbers after 2021, particularly in Asia and Europe. Four major thematic clusters emerged: technological adoption and innovation, digital capability and competitiveness, sustainability and green practices, and business model adaptation. While RBV and TOE are frequently cited, integration with sustainability perspectives remains limited. Moreover, there is a growing interest in aligning digital transformation with SDGs, particularly in terms of environmental sustainability and inclusive economic growth.

Theoretical and/or Methodological Contributions: This research contributes a structured overview of the intellectual landscape of SME digital transformation studies, highlighting the convergence of digitalization and sustainability discourses. It offers a framework for understanding how digital capabilities and external institutional factors shape transformation processes within SMEs.

Research/Practical Implications: The findings offer strategic insights for policymakers and SME practitioners, highlighting key areas such as technological readiness, sustainability alignment, and innovation strategies. The study also identifies theoretical gaps and recommends an interdisciplinary approach to enrich future research on SME digitalization and sustainability.

 

Keywords: SMEs, digital transformation, bibliometric analysis, sustainability, TOE framework, RBV, dynamic capabilities
DOI: 10.5281/zenodo.16609946
title: Bridging Digital Transformation and Sustainability in SMEs: A Bibliometric Insight into Economic and Theoretical Perspectives

description: Objective: This study aims to map the intellectual structure and research evolution of digital transformation in Small and Medium Enterprises (SMEs), with a specific focus on trends, theoretical frameworks, and alignment with sustainability. It addresses four research questions related to global publication trends, dominant research themes, theoretical foundations, and links to the Sustainable Development Goals (SDGs).

Methodology: A bibliometric analysis was conducted using 616 open-access journal articles published between 2019 and 2025, retrieved from the Scopus database. The analysis was performed using Biblioshiny and VOSviewer, incorporating co-occurrence network analysis, factorial mapping, and keyword clustering. The findings were interpreted using the Technology–Organization–Environment (TOE) framework, Resource-Based View (RBV), and Dynamic Capabilities Theory.

Findings: The study reveals significant growth in publication numbers after 2021, particularly in Asia and Europe. Four major thematic clusters emerged: technological adoption and innovation, digital capability and competitiveness, sustainability and green practices, and business model adaptation. While RBV and TOE are frequently cited, integration with sustainability perspectives remains limited. Moreover, there is a growing interest in aligning digital transformation with SDGs, particularly in terms of environmental sustainability and inclusive economic growth.

Theoretical and/or Methodological Contributions: This research contributes a structured overview of the intellectual landscape of SME digital transformation studies, highlighting the convergence of digitalization and sustainability discourses. It offers a framework for understanding how digital capabilities and external institutional factors shape transformation processes within SMEs.

Research/Practical Implications: The findings offer strategic insights for policymakers and SME practitioners, highlighting key areas such as technological readiness, sustainability alignment, and innovation strategies. The study also identifies theoretical gaps and recommends an interdisciplinary approach to enrich future research on SME digitalization and sustainability.

 

Keywords: SMEs, digital transformation, bibliometric analysis, sustainability, TOE framework, RBV, dynamic capabilities
DOI: 10.5281/zenodo.15467846
title: Curated Multi-Institutional Benchmark Dataset for Validating AI Models for Volumetric Pancreas Segmentation on Contrast-Enhanced CTs

description: To rigorously evaluate the robustness and generalizability of an indigenously developed AI model [1] for morphologically normal volumetric pancreas segmentation on portal venous phase CT images, we curated a high-quality external dataset derived from the international multi-institutional AbdomenCT-1K collection [2]. This public dataset comprises 1,062 abdominal CT scans sourced from 12 medical centers and includes five diverse benchmarking subsets: Liver Tumor Segmentation (LiTS), Kidney Tumor Segmentation (KiTS), Medical Segmentation Decathlon (MSD), National Institutes of Health-Pancreas CT (NIH-PCT), and a dataset from Nanjing University in China highlighting its broad diversity and international composition. Its heterogeneity—spanning multi-phase, multi-vendor, and multi-disease scenarios—reflects real-world clinical variability, making it ideal for robust model validation. Fellowship-trained radiologists reviewed the scans to ensure inclusion of portal venous phase CTs with adequate contrast enhancement for clear delineation of the pancreatic parenchyma and confirmed that each met optimal image quality standards. Scans with pancreatic pathology (e.g., pancreatic ductal adenocarcinoma or other masses), streak artifacts from metallic implants or spinal hardware, or suboptimal contrast enhancement were excluded. This rigorous selection process yielded 585 high-quality CT scans for evaluation. Volumetric pancreas segmentations were independently performed by expert radiologists to establish a reliable ground truth (GT). We intend to make all these meticulously curated GT segmentations publicly available to support further research and foster advancements in generalizable medical AI systems. This repository contains 317/585 scans. The remining 268 scans are available at https://doi.org/10.5281/zenodo.15476771
DOI: 10.5281/zenodo.15467847
title: Curated Multi-Institutional Benchmark Dataset for Validating AI Models for Volumetric Pancreas Segmentation on Contrast-Enhanced CTs

description: To rigorously evaluate the robustness and generalizability of an indigenously developed AI model [1] for morphologically normal volumetric pancreas segmentation on portal venous phase CT images, we curated a high-quality external dataset derived from the international multi-institutional AbdomenCT-1K collection [2]. This public dataset comprises 1,062 abdominal CT scans sourced from 12 medical centers and includes five diverse benchmarking subsets: Liver Tumor Segmentation (LiTS), Kidney Tumor Segmentation (KiTS), Medical Segmentation Decathlon (MSD), National Institutes of Health-Pancreas CT (NIH-PCT), and a dataset from Nanjing University in China highlighting its broad diversity and international composition. Its heterogeneity—spanning multi-phase, multi-vendor, and multi-disease scenarios—reflects real-world clinical variability, making it ideal for robust model validation. Fellowship-trained radiologists reviewed the scans to ensure inclusion of portal venous phase CTs with adequate contrast enhancement for clear delineation of the pancreatic parenchyma and confirmed that each met optimal image quality standards. Scans with pancreatic pathology (e.g., pancreatic ductal adenocarcinoma or other masses), streak artifacts from metallic implants or spinal hardware, or suboptimal contrast enhancement were excluded. This rigorous selection process yielded 585 high-quality CT scans for evaluation. Volumetric pancreas segmentations were independently performed by expert radiologists to establish a reliable ground truth (GT). We intend to make all these meticulously curated GT segmentations publicly available to support further research and foster advancements in generalizable medical AI systems. This repository contains 317/585 scans. The remining 268 scans are available at https://doi.org/10.5281/zenodo.15476771
DOI: 10.15468/dl.xdpbun
title: Occurrence Download

description: A dataset containing 23954 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Anser caerulescens (Linnaeus, 1758)",
 "Year is less than or equal to 2024",
 "Year is greater than or equal to 2000",
 "Continent is Europe"
 ]
}

 The dataset includes 23954 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012301-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qw938d
title: Occurrence Download

description: A dataset containing 1363 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-105.05717 69.16295,-105.06953 69.16273,-105.08178 69.16209,-105.09379 69.16101,-105.10544 69.15953,-105.11663 69.15764,-105.12724 69.15537,-105.13717 69.15274,-105.14633 69.14978,-105.15463 69.14651,-105.16198 69.14297,-105.16832 69.13919,-105.17359 69.1352,-105.17773 69.13105,-105.18071 69.12678,-105.1825 69.12242,-105.18308 69.11802,-105.18245 69.11362,-105.18061 69.10927,-105.17759 69.105,-105.1734 69.10085,-105.1681 69.09688,-105.16174 69.0931,-105.15437 69.08957,-105.14607 69.08631,-105.13692 69.08336,-105.127 69.08074,-105.11641 69.07848,-105.10526 69.0766,-105.09365 69.07512,-105.08168 69.07405,-105.06948 69.0734,-105.05717 69.07319,-105.04485 69.0734,-105.03265 69.07405,-105.02069 69.07512,-105.00907 69.0766,-104.99792 69.07848,-104.98733 69.08074,-104.97741 69.08336,-104.96826 69.08631,-104.95996 69.08957,-104.95259 69.0931,-104.94623 69.09688,-104.94093 69.10085,-104.93675 69.105,-104.93372 69.10927,-104.93189 69.11362,-104.93125 69.11802,-104.93183 69.12242,-104.93362 69.12678,-104.9366 69.13105,-104.94075 69.1352,-104.94601 69.13919,-104.95235 69.14297,-104.95971 69.14651,-104.968 69.14978,-104.97716 69.15274,-104.98709 69.15537,-104.9977 69.15764,-105.00889 69.15953,-105.02054 69.16101,-105.03255 69.16209,-105.0448 69.16273,-105.05717 69.16295))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1363 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005700-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.59xbau
title: Occurrence Download

description: A dataset listing the 357 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-115.11008 67.86871,-115.12178 67.8685,-115.13336 67.86785,-115.14471 67.86678,-115.15573 67.86529,-115.16631 67.8634,-115.17634 67.86113,-115.18574 67.8585,-115.1944 67.85553,-115.20224 67.85226,-115.2092 67.84871,-115.21519 67.84492,-115.22017 67.84093,-115.22409 67.83678,-115.22691 67.8325,-115.22861 67.82813,-115.22916 67.82373,-115.22856 67.81932,-115.22683 67.81496,-115.22397 67.81068,-115.22001 67.80653,-115.215 67.80255,-115.20898 67.79877,-115.20202 67.79523,-115.19417 67.79197,-115.18551 67.78901,-115.17613 67.78639,-115.16612 67.78412,-115.15557 67.78224,-115.14459 67.78076,-115.13327 67.77969,-115.12173 67.77904,-115.11008 67.77882,-115.09843 67.77904,-115.0869 67.77969,-115.07558 67.78076,-115.0646 67.78224,-115.05405 67.78412,-115.04404 67.78639,-115.03466 67.78901,-115.026 67.79197,-115.01815 67.79523,-115.01118 67.79877,-115.00517 67.80255,-115.00016 67.80653,-114.9962 67.81068,-114.99334 67.81496,-114.99161 67.81932,-114.99101 67.82373,-114.99156 67.82813,-114.99325 67.8325,-114.99607 67.83678,-114.99999 67.84093,-115.00498 67.84492,-115.01097 67.84871,-115.01793 67.85226,-115.02577 67.85553,-115.03443 67.8585,-115.04382 67.86113,-115.05386 67.8634,-115.06444 67.86529,-115.07545 67.86678,-115.08681 67.86785,-115.09839 67.8685,-115.11008 67.86871))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 357 records were derived from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005701-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/8b7gui
title: Replication package for "Breaking the Implicit Contract: Using Pension Freezes to Study Lifetime Labor Supply"

description: This is the replication package for "Breaking the Implicit Contract: Using Pension Freezes to Study Lifetime Labor Supply," accepted in 2024 by the Journal of Political Economy Macroeconomics.
description: Raw Form 5500 datasets exceed the file size limit. These datasets are available from https://www.dol.gov/agencies/ebsa/about-ebsa/our-activities/public-disclosure/foia/form-5500-datasets or by contacting the author. Two datasets in xlsx format are excluded because .xlsx extensions are not supported. More details are provided in the data section of Readme.pdf.
DOI: 10.18112/openneuro.ds006267.v1.0.0
title: The NIMH Intramural Longitudinal Study of the Endocrine and Neurobiological Events Accompanying Puberty dataset
DOI: 10.21233/4m3g-pq98
title: Bellavista pollen surface sample dataset

description: Raw data for the Bellavista pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/5qtc-9t75
title: Brown diatom surface sample dataset

description: Raw data for the Brown diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/smxh-fn10
title: Long Pond Witless Bay Line pollen dataset

description: Raw data for the Long Pond Witless Bay Line pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/gssh-3671
title: Buckley-Dunton water chemistry dataset

description: Raw data for the Buckley-Dunton water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/n8hn-5y33
title: Thompson site pollen surface sample dataset

description: Raw data for the Thompson site pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.2qahgx
title: Occurrence Download

description: A dataset containing 1578 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is El Salvador",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2025-2025"
 ]
}

 The dataset includes 1578 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024211-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/3ybn-fr09
title: LaMoille Cave [21WN1] macroinvertebrate dataset

description: Raw data for the LaMoille Cave [21WN1] macroinvertebrate dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/pyep-h003
title: Posneganset Pond diatom surface sample dataset

description: Raw data for the Posneganset Pond diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/hg6f-2c03
title: LDDsite4275 water chemistry dataset

description: Raw data for the LDDsite4275 water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/smz4-ex65
title: Anamizu, Iwaguruma ostracode surface sample dataset

description: Raw data for the Anamizu, Iwaguruma ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.uxkycz
title: Occurrence Download

description: A dataset containing 5812 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Month is one of (March, April, May, June, July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Leucophaeus pipixcan (Wagler, 1831)",
 "Year 2010-2010"
 ]
}

 The dataset includes 5812 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024212-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/4er8-5a39
title: Cluff Ranch [CLuff Rh.] [UALP 18] vertebrate fauna dataset

description: Raw data for the Cluff Ranch [CLuff Rh.] [UALP 18] vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.asw72s
title: Occurrence Download

description: A dataset containing 384 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Month is one of (January, February)",
 "OccurrenceStatus is Present",
 "TaxonKey is Leucophaeus pipixcan (Wagler, 1831)",
 "Year 2011-2011"
 ]
}

 The dataset includes 384 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024213-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/qejr-ac49
title: Lake Victoria (Shirati Bay) LV4 charcoal dataset

description: Raw data for the Lake Victoria (Shirati Bay) LV4 charcoal dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/hpmx-q671
title: Gaodi testate amoebae surface sample dataset

description: Raw data for the Gaodi testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/a4sy-h376
title: Bronson vertebrate fauna dataset

description: Raw data for the Bronson vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/c0ny-w449
title: Moidach More testate amoebae surface sample dataset

description: Raw data for the Moidach More testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/8e5y-5n96
title: Root [FhNa-63] vertebrate fauna dataset

description: Raw data for the Root [FhNa-63] vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/8m42-ev96
title: Turkey Creek Site 6 Reservoir diatom dataset

description: Raw data for the Turkey Creek Site 6 Reservoir diatom dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.