cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e221981
title: Veterans Utilization Profile FY18 - Fig 10, Percent Users vs Non-Users Distribution by Age Group - Males

description: Veterans Utilization Profile FY18 - Fig 10, Percent Users vs Non-Users Distribution by Age Group - Males. Data underlying the second figure of Part 2 of the FY2018 Utilization Profile, a report on Veterans' use of VA benefits and services.
DOI: 10.3886/e221981v2
title: Veterans Utilization Profile FY18 - Fig 10, Percent Users vs Non-Users Distribution by Age Group - Males

description: Veterans Utilization Profile FY18 - Fig 10, Percent Users vs Non-Users Distribution by Age Group - Males. Data underlying the second figure of Part 2 of the FY2018 Utilization Profile, a report on Veterans' use of VA benefits and services.
DOI: 10.3886/e221982v1
title: Veterans Utilization Profile FY18 - Fig 11, Percent Users vs Non-Users Distribution by Age Group - Females

description: Third figure of Part 2 of the FY2018 Utilization Profile, a report on Veterans' use of VA benefits and services.
DOI: 10.3886/e221982
title: Veterans Utilization Profile FY18 - Fig 11, Percent Users vs Non-Users Distribution by Age Group - Females

description: Third figure of Part 2 of the FY2018 Utilization Profile, a report on Veterans' use of VA benefits and services.
DOI: 10.3886/e221982v2
title: Veterans Utilization Profile FY18 - Fig 11, Percent Users vs Non-Users Distribution by Age Group - Females

description: Third figure of Part 2 of the FY2018 Utilization Profile, a report on Veterans' use of VA benefits and services.
DOI: 10.60656/6a8bf7fbbda740b3
title: Custom collection of classification, droplet effective radius, liquid water content, and microwave radiometer data from Potenza on 16 Jul 2024
DOI: 10.15468/dl.p47mpk
title: Occurrence Download

description: A dataset containing 431658 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84)",
 "OccurrenceStatus is Present",
 "TaxonKey is Quercus suber L."
 ]
}

 The dataset includes 431658 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006256-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14065127
title: Data for the publication: "Quantifying the Mixing Quality of Composite Cathodes and its Implications for the Reproducibility and Comparability of Solid-State Battery Cells"
DOI: 10.5281/zenodo.14065128
title: Data for the publication: "Quantifying the Mixing Quality of Composite Cathodes and its Implications for the Reproducibility and Comparability of Solid-State Battery Cells"
DOI: 10.15468/dl.g2rzck
title: Occurrence Download

description: A dataset containing 568 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Scytalopus urubambae Zimmer, 1939"
 ]
}

 The dataset includes 568 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006257-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e221983v1
title: Veterans Utilization Profile FY18 - Fig 12, Percent Users vs Non-Users Distribution by Era - Males

description: Percent Users vs Non-Users Distribution by Era - Males
DOI: 10.3886/e221983
title: Veterans Utilization Profile FY18 - Fig 12, Percent Users vs Non-Users Distribution by Era - Males

description: Percent Users vs Non-Users Distribution by Era - Males. Eras included: World War II, Korean Conflict, Vietnam Era, Pre 9/11 Gulf War, Post 9/11 Gulf War, and peacetime.
DOI: 10.3886/e221983v2
title: Veterans Utilization Profile FY18 - Fig 12, Percent Users vs Non-Users Distribution by Era - Males

description: Percent Users vs Non-Users Distribution by Era - Males. Eras included: World War II, Korean Conflict, Vietnam Era, Pre 9/11 Gulf War, Post 9/11 Gulf War, and peacetime.
DOI: 10.6084/m9.figshare.28620686
title: Data Files for Puerto Rican Crested Toad Night Light Project

description: These data files can be run using the associated R Code file for this project on the effects of night light on the activity of Puerto Rican crested toads.
DOI: 10.12770/6594a7ca-85f3-4c79-87e0-cc5d9543cbf1
title: Modèle numérique de terrain du site Natura 2000 FR5300046 – Rade de Brest, estuaire de l'Aulne

description: Le modèle numérique de terrain (MNT) du site Natura 2000 de la rade de Brest a été généré grâce à la fusion de données Lidar issues du déploiement du programme Litto3D dans le Finistère ainsi que des levés acoustiques réalisés par l’Ifremer. Ce MNT a été élaboré à une résolution spatiale de 10 m, par un traitement basé sur des méthodes de géostatistique. Ces dernières sont couramment utilisées pour cartographier des variables environnementales telles que la topographie ou la bathymétrie du fond. L’algorithme utilisé est celui du krigeage qui présente l’avantage de palier aux effets de sous-échantillonnage et de sur-échantillonnage, adapté aux données sources utilisées sous la forme de semis de points irréguliers. Ce produit a été généré dans le cadre du projet Natura 2000 Bretagne.
DOI: 10.5281/zenodo.10955952
title: Dataset and Tools

description: Dataset and tools to replicate the achieved results.
DOI: 10.5281/zenodo.10955953
title: Anonymous Submission

description: Dataset e Ferramentas para replicar os resultados
DOI: 10.5281/zenodo.15106416
title: Dataset and Tools

description: Dataset and tools to replicate the achieved results.
DOI: 10.5281/zenodo.15082396
title: Proof of the Hodge Conjecture for Fixed-Point Classes via Fractal Cohomology in Base 7

description: This work presents a rigorous and original approach to the Hodge Conjecture based on fixed-point symmetries and a new form of “fractal cohomology.” Instead of addressing all Hodge classes at once, we isolate those that remain invariant under cyclic automorphisms of order seven. This leads to a well-defined subspace of fixed-point Hodge classes, for which we construct an explicit orthonormal basis.

The paper introduces a sequence of geometrical pullbacks and symmetries that stabilize cohomological structures. Using these symmetries, we derive a new type of theta function that encodes deep algebraic and topological information. These functions are shown to generate a complete basis for the fixed-point subspace.

The approach is validated through both theoretical and numerical arguments. A full orthonormal basis was computed and verified with high numerical precision, demonstrating the consistency and completeness of the fixed-point structure. In addition, we present a Coq-assisted formalization of the key components, ensuring full logical rigor and verifiability.

This proof shows that all invariant Hodge classes in the fixed-point subspace are algebraic, which provides new evidence toward the general Hodge Conjecture and introduces a method of wide potential relevance for future research in algebraic geometry and motivic cohomology.
DOI: 10.5281/zenodo.15082397
title: Proof of the Hodge Conjecture for Fixed-Point Classes via Fractal Cohomology in Base 7

description: This work presents a rigorous and original approach to the Hodge Conjecture based on fixed-point symmetries and a new form of “fractal cohomology.” Instead of addressing all Hodge classes at once, we isolate those that remain invariant under cyclic automorphisms of order seven. This leads to a well-defined subspace of fixed-point Hodge classes, for which we construct an explicit orthonormal basis.

The paper introduces a sequence of geometrical pullbacks and symmetries that stabilize cohomological structures. Using these symmetries, we derive a new type of theta function that encodes deep algebraic and topological information. These functions are shown to generate a complete basis for the fixed-point subspace.

The approach is validated through both theoretical and numerical arguments. A full orthonormal basis was computed and verified with high numerical precision, demonstrating the consistency and completeness of the fixed-point structure. In addition, we present a Coq-assisted formalization of the key components, ensuring full logical rigor and verifiability.

This proof shows that all invariant Hodge classes in the fixed-point subspace are algebraic, which provides new evidence toward the general Hodge Conjecture and introduces a method of wide potential relevance for future research in algebraic geometry and motivic cohomology.
DOI: 10.6084/m9.figshare.25848879
title: A comparative study on the performance of terahertz, near-infrared, and hyperspectral spectroscopy for wood identification

description: Wood species identification is of paramount significance in wood products manufacturing and applications. In contrast to traditional wood identification methods, spectroscopy-based technology offers a rapid, cost-effective, and efficient alternative. This study focuses on five wood species as experimental materials and aims to obtain three distinct wood spectra for each: near-infrared (NIR) spectra, hyperspectral image spectral information, and terahertz (THz) spectra. These spectra underwent pre-processing techniques such as Savitzky–Golay smoothing (SG), normalization, multiple scattering correction (MSC), and standard normalized variate (SNV), followed by dimensionality reduction through principal component analysis (PCA). Subsequently, the processed data were input into a partial least squares discriminant analysis (PLS-DA) for recognition. The results demonstrate the best recognition accuracy of 99.8% for THz spectra, 98.7% for NIR spectra, and 97.3% for hyperspectral image spectral information. The THz spectra exhibited the highest recognition accuracy, particularly with the SG-preprocessed THz spectra. These preprocessed spectra effectively removed noise and smoothed the spectral curves compared to the raw spectra.
DOI: 10.6084/m9.figshare.25848879.v1
title: A comparative study on the performance of terahertz, near-infrared, and hyperspectral spectroscopy for wood identification

description: Wood species identification is of paramount significance in wood products manufacturing and applications. In contrast to traditional wood identification methods, spectroscopy-based technology offers a rapid, cost-effective, and efficient alternative. This study focuses on five wood species as experimental materials and aims to obtain three distinct wood spectra for each: near-infrared (NIR) spectra, hyperspectral image spectral information, and terahertz (THz) spectra. These spectra underwent pre-processing techniques such as Savitzky–Golay smoothing (SG), normalization, multiple scattering correction (MSC), and standard normalized variate (SNV), followed by dimensionality reduction through principal component analysis (PCA). Subsequently, the processed data were input into a partial least squares discriminant analysis (PLS-DA) for recognition. The results demonstrate the best recognition accuracy of 99.8% for THz spectra, 98.7% for NIR spectra, and 97.3% for hyperspectral image spectral information. The THz spectra exhibited the highest recognition accuracy, particularly with the SG-preprocessed THz spectra. These preprocessed spectra effectively removed noise and smoothed the spectral curves compared to the raw spectra.
DOI: 10.15468/dl.h2zttm
title: Occurrence Download

description: A dataset containing 195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (90fd6680-349f-11d8-aa2d-b8a03c50a862, 33d232b5-5cc2-4521-8bd6-121c5bb41c32, 8e1a97a0-3ca8-11d9-8439-b8a03c50a862, e1f3033f-176a-4e5e-8b97-7f1f000fcc2a, c54097e6-0972-4acb-b849-eaeba29c917d, 5184e024-2899-4635-884b-c9d769e72cdd, d0e01e0c-7e8c-49aa-aeed-15fab7dfee46, 061b4f20-f241-11da-a328-b8a03c50a862, bc092ff0-02e4-11dc-991f-b8a03c50a862)",
 "TaxonKey is Alnus acuminata Kunth"
 ]
}

 The dataset includes 195 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006258-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1182126.10fu
title: SH1182126.10FU

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/sh1182128.10fu
title: SH1182128.10FU

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/sh1182130.10fu
title: SH1182130.10FU

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/sh1182131.10fu
title: SH1182131.10FU

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/sh1182140.10fu
title: SH1182140.10FU

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/sh1182143.10fu
title: SH1182143.10FU

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/sh1182144.10fu
title: SH1182144.10FU

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/sh1182148.10fu
title: SH1182148.10FU

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/sh1182149.10fu
title: SH1182149.10FU

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/sh1182150.10fu
title: SH1182150.10FU

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.