cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.kw3qas
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cnidaria",
 "DatasetKey is The Danish Environmental Portal, species and habitats-database \"Danmarks Miljøportals Naturdatabase\"",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-25.03991 31.75, 41.65954 31.75, 41.65954 71.53037, -25.03991 71.53037, -25.03991 31.75))"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0209221-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w3ur57
title: Occurrence Download

description: A dataset containing 54759 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lomandra filiformis (Thunb.) Britten"
 ]
}

 The dataset includes 54759 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012860-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fygw6j
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseuderanthemum leptorhachis Lindau"
 ]
}

 The dataset includes 96 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0096436-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m7b9j3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cnidaria",
 "DatasetKey is Etude des peuplements astacicoles réalisée en Gironde dans le cadre du Plan Régional d’Actions Ecrevisse à Pattes Blanches (Action A2)-Inventaire écrevisse",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-25.03991 31.75, 41.65954 31.75, 41.65954 71.53037, -25.03991 71.53037, -25.03991 31.75))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0209232-230224095556074/datasets/export for details.
DOI: 10.15468/dl.2gf5ny
title: Occurrence Download

description: A dataset containing 8690 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lomandra confertifolia (F.M.Bailey) Fahn"
 ]
}

 The dataset includes 8690 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012843-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hqt7tt
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phreatia stresemannii J.J.Sm."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076371-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rqccn8
title: Occurrence Download

description: A dataset containing 37647 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Argyrosomus japonicus (Temminck & Schlegel, 1843)"
 ]
}

 The dataset includes 37647 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0127679-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6kn9n5
title: Occurrence Download

description: A dataset containing 111230 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ceratophyllum demersum L."
 ]
}

 The dataset includes 111230 records from 992 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010695-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.68crp3
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alyssum erosulum"
 ]
}

 The dataset includes 69 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005337-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15873327
title: 3D Reconstruction of Pont du Gard, Roman Aqueduct Bridge

description: This dataset contains a 3D digital reconstruction of the Pont du Gard, a monumental Roman aqueduct bridge located in Southern France. The model was meticulously created using Blender, a powerful open-source 3D creation suite, with its design and details informed by extensive research and publicly available source images of the historical structure.

The Pont du Gard, a UNESCO World Heritage Site, is a testament to ancient Roman engineering, forming a crucial part of a 50 km aqueduct system that supplied water to the Roman city of Nemausus (modern Nîmes) in the 1st century AD. This 3D model aims to provide an accessible and interactive visualization of this architectural masterpiece, highlighting its unique three-tiered structure and the sophisticated construction techniques employed by Roman builders.

As part of the LesArch project (lesantwi.github.io/LesArch-1.1/), this model serves as an open-access resource for digital archaeology, promoting public engagement with cultural heritage and supporting educational initiatives. It contributes to the digital preservation of threatened or significant archaeological sites by offering a detailed virtual representation for study, analysis, and appreciation.

Key Features of the Model:





Interactive 3D representation of the Pont du Gard.




Reconstructed based on available photographic and historical documentation.




Designed for educational purposes and public engagement with Roman engineering.



Usage Notes: This model is intended for educational, research, and public engagement purposes. While efforts were made to ensure accuracy based on available sources, it represents a digital interpretation.

For more information about the LesArch project and other archaeological reconstructions, please visit: https://lesantwi.github.io/LesArch-1.1/"
DOI: 10.5281/zenodo.15873328
title: 3D Reconstruction of Pont du Gard, Roman Aqueduct Bridge

description: This dataset contains a 3D digital reconstruction of the Pont du Gard, a monumental Roman aqueduct bridge located in Southern France. The model was meticulously created using Blender, a powerful open-source 3D creation suite, with its design and details informed by extensive research and publicly available source images of the historical structure.

The Pont du Gard, a UNESCO World Heritage Site, is a testament to ancient Roman engineering, forming a crucial part of a 50 km aqueduct system that supplied water to the Roman city of Nemausus (modern Nîmes) in the 1st century AD. This 3D model aims to provide an accessible and interactive visualization of this architectural masterpiece, highlighting its unique three-tiered structure and the sophisticated construction techniques employed by Roman builders.

As part of the LesArch project (lesantwi.github.io/LesArch-1.1/), this model serves as an open-access resource for digital archaeology, promoting public engagement with cultural heritage and supporting educational initiatives. It contributes to the digital preservation of threatened or significant archaeological sites by offering a detailed virtual representation for study, analysis, and appreciation.

Key Features of the Model:





Interactive 3D representation of the Pont du Gard.




Reconstructed based on available photographic and historical documentation.




Designed for educational purposes and public engagement with Roman engineering.



Usage Notes: This model is intended for educational, research, and public engagement purposes. While efforts were made to ensure accuracy based on available sources, it represents a digital interpretation.

For more information about the LesArch project and other archaeological reconstructions, please visit: https://lesantwi.github.io/LesArch-1.1/"
DOI: 10.15468/dl.4su92p
title: Occurrence Download

description: A dataset containing 296 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mimosa pigra",
 "Country is Indonesia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 296 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005339-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wmmgge
title: Occurrence Download

description: A dataset containing 359 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alopecurus arundinaceus",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 359 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005341-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4uem8g
title: Occurrence Download

description: A dataset containing 1405 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alopecurus arundinaceus",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1405 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005340-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11209358
title: Non-Intrusive Reduced Basis Codes and Models for Surrogate Modelling and Sensitivity Analyses in Magnetotellurics

description: This code demonstrate the construction of surrogate models for the magnetotelluric response in geothermal reservoirs using the non-intrusive reduced basis method and gaussian process regression presented in the paper “Sensitivity Analysis using Physics-Based Machine Learning: An Example from Surrogate Modelling for Magnetotellurics“ by N. Lindner, D. Degen, A. Grayver and F. Wellmann. The non-intrusive reduced basis method is a physics-based machine learning technique originating from the field of projection based model order reduction methods, and is an efficient way of performing global sensitivity analysis.
DOI: 10.5281/zenodo.11209359
title: Non-Intrusive Reduced Basis Codes and Models for Surrogate Modelling and Sensitivity Analyses in Magnetotellurics

description: This code demonstrate the construction of surrogate models for the magnetotelluric response in geothermal reservoirs using the non-intrusive reduced basis method and gaussian process regression presented in the paper “Sensitivity Analysis using Physics-Based Machine Learning: An Example from Surrogate Modelling for Magnetotellurics“ by N. Lindner, D. Degen, A. Grayver and F. Wellmann. The non-intrusive reduced basis method is a physics-based machine learning technique originating from the field of projection based model order reduction methods, and is an efficient way of performing global sensitivity analysis.
DOI: 10.15468/dl.pqftjf
title: Occurrence Download

description: A dataset containing 3137 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Frasera caroliniensis"
 ]
}

 The dataset includes 3137 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005342-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6mj8mv
title: Occurrence Download

description: A dataset containing 672437 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anemone nemorosa"
 ]
}

 The dataset includes 672437 records from 1861 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005216-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1397143.10fu
title: SH1397143.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1397150.10fu
title: SH1397150.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1397151.10fu
title: SH1397151.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1397153.10fu
title: SH1397153.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1397154.10fu
title: SH1397154.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1397155.10fu
title: SH1397155.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1397156.10fu
title: SH1397156.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1397159.10fu
title: SH1397159.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1397163.10fu
title: SH1397163.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.kgr4lh
title: Occurrence Download

description: A dataset containing 27479 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carya Nutt."
 ]
}

 The dataset includes 27479 records from 275 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003223-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9nmzud
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023444-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.