cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18264238
title: Data From "The capacity of generative models to synthesize regional landslide and non-landslide remote sensing imagery under data-scarce scenarios: insights from multimodal foundation models"

description: Results and datasets of the manuscript “The capacity of generative models to synthesize regional landslide and non-landslide remote sensing imagery under data-scarce scenarios: insights from multimodal foundation models”. Once the manuscript is accepted for publishment, the dataset will be updated.

"Landslide Dataset.rar" is the landslide remote sensing image–semantic annotation dataset.

"non-landslide Dataset.rar" is the non-landslide remote sensing image–semantic annotation dataset.

"Southwest_China_Landslide.safetensors" is the best landslide LoRA which is trained on SDXL.

"Southwest_China_Terrain.safetensors" is the best non-landslide LoRA which is trained on SD 1.5.
DOI: 10.5281/zenodo.18264237
title: Data From "The capacity of generative models to synthesize regional landslide and non-landslide remote sensing imagery under data-scarce scenarios: insights from multimodal foundation models"

description: Results and datasets of the manuscript “The capacity of generative models to synthesize regional landslide and non-landslide remote sensing imagery under data-scarce scenarios: insights from multimodal foundation models”. Once the manuscript is accepted for publishment, the dataset will be updated.

"Landslide Dataset.rar" is the landslide remote sensing image–semantic annotation dataset.

"non-landslide Dataset.rar" is the non-landslide remote sensing image–semantic annotation dataset.

"Southwest_China_Landslide.safetensors" is the best landslide LoRA which is trained on SDXL.

"Southwest_China_Terrain.safetensors" is the best non-landslide LoRA which is trained on SD 1.5.
DOI: 10.15468/dl.qp4h79
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pacifastacus leniusculus",
 "Country is Czechia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 18 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015600-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18272969
title: Deyeuxia spicata Spreng. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.5281/zenodo.18272968
title: Deyeuxia spicata Spreng. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.5281/zenodo.18272973
title: Deyeuxia viridiflavescens (Poir.) Kunth. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.5281/zenodo.18272972
title: Deyeuxia viridiflavescens (Poir.) Kunth. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.15468/dl.73pxym
title: Occurrence Download

description: A dataset containing 427199 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Veronica arvensis"
 ]
}

 The dataset includes 427199 records from 2835 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015567-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3j73fu
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Leptothorax kutteri, Temnothorax clypeatus, Temnothorax parvulus, Temnothorax lichtensteini, Temnothorax turcicus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Austria)"
 ]
}

 The dataset includes 13 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042135-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d7dmg5
title: Occurrence Download

description: A dataset containing 302 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Uganda",
 "Geometry POLYGON((31.27015 2.62488,31.16225 2.1717,31.36187 1.99367,31.76829 1.82822,32.24125 2.22206,31.95532 2.69322,31.27015 2.62488))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Kobus kob",
 "Year 1952-2025"
 ]
}

 The dataset includes 302 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042133-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ba72qh
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "AcceptedTaxonKey is Parasenecio hwangshanicus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 23 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042136-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6829ww
title: Occurrence Download

description: A dataset containing 212 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-106.6188 22.94913, -106.4688 22.94913, -106.4688 23.09913, -106.6188 23.09913, -106.6188 22.94913))"
 ]
}

 The dataset includes 212 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042137-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8qxppb
title: Occurrence Download

description: A dataset containing 1728 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Amphibia [GBIF Backbone Taxonomy])",
 "Geometry POLYGON((-76.21067538935657 10.447898300484283,-76.21067538935657 9.921651979744027,-74.73752730647088 9.921651979744027,-74.73752730647088 10.447898300484283,-76.21067538935657 10.447898300484283))"
 ]
 }
 ]
}

 The dataset includes 1728 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042134-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wywjvm
title: Occurrence Download

description: A dataset containing 2390711 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "PublishingCountry is Italy"
 ]
}

 The dataset includes 2390711 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042098-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9a8c2v
title: Occurrence Download

description: A dataset containing 28823 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "Country is one of (Russian Federation, Norway, Sweden)",
 "TaxonKey is Castor fiber"
 ]
}

 The dataset includes 28823 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042132-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/jte3bh
title: Méthodologie Alimentation_AGB 3.2.pdf

description: Rapport méthodologique sur les produits alimentaires de la version Agribalyse 3.2
DOI: 10.57745/mnnuan
title: Méthodologie Alimentation Annexes_AGB 3.2.tab

description: Annexes du rapport méthodologique sur les produits alimentaires de la version Agribalyse 3.2
DOI: 10.57745/2jqeeg
title: Méthodologie Production Agricole_AGB 3.2.pdf

description: Rapport méthodologique sur la production agricole de la version Agribalyse 3.2
DOI: 10.57745/ryjqdq
title: Rapport de changement_AGB 3.2.pdf

description: Rapport de changement entre Agribalyse 3.1.1 et Agribalyse 3.2
DOI: 10.57745/9xq9gh
title: AGRIBALYSE3.2_Tableur produits alimentaires_PublieNov24.xlsx

description: Données d’impacts environnementaux des produits finis d’AGRIBALYSE 3.2 : A télécharger en xls pour contenu complet
DOI: 10.57745/vzmxo3
title: AGRIBALYSE3.2_Tableur agriculture_conv_PublieNov24.xlsx

description: Données d’impacts environnementaux des productions agricoles conventionnelles d’AGRIBALYSE 3.2 : A télécharger en xls pour contenu complet
DOI: 10.57745/jnufbb
title: Note_Soja_Agribalyse3.2.pdf

description: :unav
DOI: 10.57745/txlaqq
title: AGRIBALYSE3.2_Tableur agriculture_bio_PublieNov24.xlsx

description: Données d’impacts environnementaux des productions agricoles biologiques d’AGRIBALYSE 3.2 : A télécharger en xls pour contenu complet
DOI: 10.57745/9o5hc9
title: Methodology AGB 3.2_Agricultural production_EN.pdf

description: :unav
DOI: 10.15468/dl.kxnnwt
title: Occurrence Download

description: A dataset containing 34695938 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "PublishingCountry is Spain"
 ]
}

 The dataset includes 34695938 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042101-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/9rsy9b
title: Methodology AGB 3.2_Food products_EN.pdf

description: :unav
DOI: 10.57745/lgnkbi
title: Change Report AGB3.2_EN.pdf

description: :unav
DOI: 10.57745/5pkhyq
title: AGRIBALYSE3.2_partie agriculture_conv_PublieJanv25.xlsx

description: Données d’impacts environnementaux des productions agricoles conventionnelles d’AGRIBALYSE 3.2 : A télécharger en xls pour contenu complet
DOI: 10.57745/7folff
title: AGRIBALYSE3.2_partie agriculture_conv_PublieJanv25.xlsx

description: Données d’impacts environnementaux des productions agricoles conventionnelles d’AGRIBALYSE 3.2 : A télécharger en xls pour contenu complet
DOI: 10.57745/dobqja
title: Méthodologie AGB 3.2_Alimentation_VF.pdf

description: Rapport méthodologique sur les produits alimentaires de la version Agribalyse 3.2
DOI: 10.57745/94bkzl
title: AGRIBALYSE3.2_Tableur produits alimentaires_VF_20_11_24.xlsx

description: Données d’impacts environnementaux des produits finis d’AGRIBALYSE 3.2 : A télécharger en xls pour contenu complet
DOI: 10.57745/ks2wmb
title: Methodology_AGB 3.2_Food products_EN.pdf

description: :unav
DOI: 10.57745/exdhfo
title: AGRIBALYSE3.2_Tableur produits alimentaires_PublieAvril25.xlsx

description: Données d’impacts environnementaux des produits finis d’AGRIBALYSE 3.2 : A télécharger en xls pour contenu complet
DOI: 10.57745/jj6pxa
title: AGRIBALYSE3.2_partie agriculture_conv_PublieAvril25.xlsx

description: Données d’impacts environnementaux des productions agricoles conventionnelles d’AGRIBALYSE 3.2 : A télécharger en xls pour contenu complet
DOI: 10.57745/siy6hu
title: AGRIBALYSE3.2_partie agriculture_conv_PublieMAI25.xlsx

description: Données d’impacts environnementaux des productions agricoles conventionnelles d’AGRIBALYSE 3.2 : A télécharger en xls pour contenu complet
DOI: 10.57745/3qhpam
title: AGRIBALYSE3.2_partie agriculture_conv_PublieAOUT25.xlsx

description: Données d’impacts environnementaux des productions agricoles conventionnelles d’AGRIBALYSE 3.2 : A télécharger en xls pour contenu complet
DOI: 10.57745/7p8i80
title: AGRIBALYSE3.2_Tableur produits alimentaires_PublieMai25.xlsx

description: Données d’impacts environnementaux des produits finis d’AGRIBALYSE 3.2 : A télécharger en xls pour contenu complet
DOI: 10.57745/jpy8js
title: AGRIBALYSE3.2_Tableur produits alimentaires_PublieAOUT25.xlsx

description: Données d’impacts environnementaux des produits finis d’AGRIBALYSE 3.2 : A télécharger en xls pour contenu complet
DOI: 10.15468/dl.rxckfa
title: Occurrence Download

description: A dataset listing the 929 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON(((0.37424 46.3882,0.37846 46.38475,0.38937 46.38578,0.38437 46.37938,0.38666 46.37446,0.39567 46.38007,0.39738 46.37716,0.4009 46.37549,0.40848 46.37738,0.4086 46.37537,0.41371 46.37484,0.4224 46.37909,0.42378 46.37836,0.42287 46.37526,0.4243 46.37448,0.43886 46.37441,0.44736 46.36638,0.43994 46.36275,0.4404 46.36091,0.44395 46.359,0.44584 46.36166,0.45243 46.36202,0.46548 46.36615,0.48281 46.36473,0.49169 46.36711,0.49619 46.3648,0.50439 46.36887,0.50917 46.36933,0.5089 46.37052,0.51706 46.37597,0.51162 46.38479,0.51146 46.38794,0.50749 46.38854,0.50952 46.39126,0.50945 46.39588,0.5045 46.40087,0.49946 46.40337,0.49833 46.40584,0.48432 46.40203,0.47686 46.40531,0.46565 46.40529,0.4594 46.407,0.45579 46.40598,0.44629 46.40949,0.4225 46.40831,0.41257 46.41154,0.4018 46.40984,0.38701 46.40473,0.38109 46.40057,0.37801 46.39505,0.38078 46.39404,0.37495 46.39026,0.37424 46.3882)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 929 records were derived from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042107-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/k690ox
title: Note_Soya_Agribalyse3.2GB.pdf

description: :unav
DOI: 10.57745/u47o7u
title: AGRIBALYSE3.2_partie agriculture_conv_PublieNOV25.xlsx

description: Données d’impacts environnementaux des productions agricoles conventionnelles d’AGRIBALYSE 3.2 : A télécharger en xls pour contenu complet
DOI: 10.5281/zenodo.17640644
title: IULIA: a georeferenced anthropological dataset from Ancient Latium

description: This dataset presents a bioarchaeological research documenting human skeletal evidence from central Latium (Italy), spanning the Roman Imperial to Late Antique periods. The dataset was designed to ensure the systematic recording, standardisation, and long-term digital preservation of information relating to funerary and biological contexts, including the presence of faunal remains, which have also been registered within the anthropological dataset.

The present research originates within Spoke 8, “Sustainability and Resilience of Tangible Cultural Heritage,” of the extended partnership CHANGES (Cultural Heritage Active Innovation for Next-Gen Sustainable Society), a national initiative aimed at developing innovative and interdisciplinary approaches for the sustainable management of cultural heritage in Italy. Within this framework, the present study contributes to the broader objective of integrating advanced technologies, scientific methodologies, and participatory governance models to strengthen the knowledge, conservation, and resilience of Tangible Cultural Heritage (TCH). 

The anthropological dataset presented here, named "IULIA: a georeferenced anthropological dataset from Ancient Latium", integrates data from three necropolises, Lucus Feroniae, Isola Sacra, and Selvicciola, derived from archival documentation, published literature, and recent research conducted in the Laboratory of Paleoaanthropology and Bioarchaeology of the Sapienza University of Rome (PanBa Lab, Department of Environmental Biology) on skeletal collections preserved at the Museum of Anthropology “Giuseppe Sergi”. Each individual is associated with a unique alphanumeric identifier (ID_INDIVIDUAL) linking osteobiographical, palaeopathological, and biomolecular data with related graphic materials and bibliographic references. The dataset provides standardised metadata in tabular format (.xlsx), enabling integration with other bioarchaeological databases and facilitating spatial, statistical, and comparative analyses.

The dataset includes georeferenced information and detailed metadata, allowing users to cross-reference biological and cultural variables. Together, they represent a comprehensive digital resource for exploring mobility, health, and lifeways in ancient Latium. Designed as dynamic and reusable tools, this dataset will be periodically updated as new analyses and research outcomes become available, thereby supporting transparency, data preservation, and future interdisciplinary work in bioarchaeology.
DOI: 10.5281/zenodo.17537451
title: IULIA: a georeferenced anthropological dataset from Ancient Latium

description: This dataset presents a bioarchaeological research documenting human skeletal evidence from central Latium (Italy), spanning the Roman Imperial to Late Antique periods. The dataset was designed to ensure the systematic recording, standardisation, and long-term digital preservation of information relating to funerary and biological contexts, including the presence of faunal remains, which have also been registered within the anthropological dataset.

The present research originates within Spoke 8, “Sustainability and Resilience of Tangible Cultural Heritage,” of the extended partnership CHANGES (Cultural Heritage Active Innovation for Next-Gen Sustainable Society), a national initiative aimed at developing innovative and interdisciplinary approaches for the sustainable management of cultural heritage in Italy. Within this framework, the present study contributes to the broader objective of integrating advanced technologies, scientific methodologies, and participatory governance models to strengthen the knowledge, conservation, and resilience of Tangible Cultural Heritage (TCH). 

The anthropological dataset presented here, named "IULIA: a georeferenced anthropological dataset from Ancient Latium", integrates data from three necropolises, Lucus Feroniae, Isola Sacra, and Selvicciola, derived from archival documentation, published literature, and recent research conducted in the Laboratory of Paleoaanthropology and Bioarchaeology of the Sapienza University of Rome (PanBa Lab, Department of Environmental Biology) on skeletal collections preserved at the Museum of Anthropology “Giuseppe Sergi”. Each individual is associated with a unique alphanumeric identifier (ID_INDIVIDUAL) linking osteobiographical, palaeopathological, and biomolecular data with related graphic materials and bibliographic references. The dataset provides standardised metadata in tabular format (.xlsx), enabling integration with other bioarchaeological databases and facilitating spatial, statistical, and comparative analyses.

The dataset includes georeferenced information and detailed metadata, allowing users to cross-reference biological and cultural variables. Together, they represent a comprehensive digital resource for exploring mobility, health, and lifeways in ancient Latium. Designed as dynamic and reusable tools, this dataset will be periodically updated as new analyses and research outcomes become available, thereby supporting transparency, data preservation, and future interdisciplinary work in bioarchaeology.
DOI: 10.15468/dl.rhtktr
title: Occurrence Download

description: A dataset containing 4173 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Krascheninnikovia ceratoides",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4173 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042142-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2rvax9
title: Occurrence Download

description: A dataset containing 2737 species occurrences available in GBIF matching the query:
{
 "and" : [
 "AcceptedTaxonKey is Cryptogramma stelleri",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2737 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042139-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xxy5ef
title: Occurrence Download

description: A dataset containing 410 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-106.4688 22.94913, -106.3188 22.94913, -106.3188 23.09913, -106.4688 23.09913, -106.4688 22.94913))"
 ]
}

 The dataset includes 410 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042145-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.969buf
title: Occurrence Download

description: A dataset containing 5756 species occurrences available in GBIF matching the query:
{
 "and" : [
 "AcceptedTaxonKey is Ranunculus japonicus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5756 records from 137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042140-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ks3h7n
title: Occurrence Download

description: A dataset containing 29579 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salamandra salamandra",
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "MediaType is Image",
 "CoordinateUncertaintyInMeters is less than 10000",
 {
 "not" : {
 "Issue" : [
 "is Coordinate invalid"
 ]
 }
 }
 ]
}

 The dataset includes 29579 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042143-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.20383/103.01484
title: CACTUS: An open dataset and framework for automated Cardiac Assessment and Classification of Ultrasound images using deep transfer learning

description: The Cardiac Assessment and Classification of Ultrasound (CACTUS) dataset is an open-graded dataset designed for the evaluation and classification of cardiac ultrasound images. The dataset was created as part of the ARQUS project, which aims to develop an autonomous robotic system capable of performing ultrasound scans and extracting quantitative measurements. This project is funded by the NSERC (Natural Sciences and Engineering Research Council of Canada). The dataset contains ultrasound images obtained from scans of the CAE Blue Phantom, a synthetic model used to simulate the human heart. These images represent a variety of heart views and exhibit different quality levels. A detailed grading schema was developed by two medical imaging experts to assess the quality of each image, which ensures that the dataset contains a diverse range of both high- and low-quality ultrasound scans. The CACTUS dataset is particularly valuable for applications in artificial intelligence, specifically in the domain of echocardiography. It has been used in the development of automated system for the classification of cardiac ultrasound images and the assessment of image quality, which can assist medical practitioners in automating these traditionally labor-intensive tasks.