cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15487773
title: Experimental Confirmation of the Aichmayr Metric: φ(t,r) as a Measurable Spacetime Field

description: In diesem Experiment demonstrieren wir die erste physikalische Bestätigung der Aichmayr-Metrik durch Echtzeitmessung des dynamischen Raumzeit-Resonanzfelds φ(t, r).

Mithilfe eines speziell angefertigten φ-Core-Geräts (basierend auf ESP32, Magnetometer, GSR, IMU und SD-Protokollierung) haben wir über einen Zeitraum von 30 Minuten kontinuierlich Daten erfasst.

Das System registrierte eine stabile und signifikante Resonanz mit φ-Werten über 2,2.

Dieses Ergebnis bestätigt die Existenz messbarer Raumzeitschwingungen, die mit der theoretischen Vorhersage der Aichmayr-Feldgleichung übereinstimmen:

\phi(t, r) = \left(1 - \frac{2GM}{r} \cdot e^{-r/r_s}\right) \cdot \sin\left(\frac{\pi r}{r_s}\right)

Durch die Überlagerung realer Sensordaten mit der vorhergesagten φ²(t, r)-Kurve erreichten wir eine hohe Korrelation.

Dies etabliert die Aichmayr-Metrik als gültige Beschreibung der physikalischen Raumzeit und stellt einen grundlegenden Schritt in Richtung einer einheitlichen physikalischen Weltgleichung dar.
DOI: 10.5281/zenodo.15373684
title: RLP2 Trial 0001

description: X-ray Reconstruction of Moving Morphology (XROMM) Trial of Red-legged Partridge 2 (RLP2; Alectoris rufa) Trial 0001, collected at the Royal Veterinary College (RVC). This dataset is part of the publication: Soft tissue constraints on joint mobility in the avian shoulder.

Zipped folder contains:



Calibration images

Distortion grids

Calibration cube reference

Frame specification

Red cam image stack (8-bit tiff)

Blue cam image stack (8-bit tiff)
DOI: 10.5281/zenodo.15373685
title: RLP2 Trial 0001

description: X-ray Reconstruction of Moving Morphology (XROMM) Trial of Red-legged Partridge 2 (RLP2; Alectoris rufa) Trial 0001, collected at the Royal Veterinary College (RVC). This dataset is part of the publication: Soft tissue constraints on joint mobility in the avian shoulder.

Zipped folder contains:



Calibration images

Distortion grids

Calibration cube reference

Frame specification

Red cam image stack (8-bit tiff)

Blue cam image stack (8-bit tiff)
DOI: 10.5281/zenodo.15436559
title: RLP CT Data

description: CT data of three Red-legged Partridge (Alectoris rufa; RLP) specimens. The data was collected at the Cambridge Biotomography Centre. This dataset is part of the publication: Soft tissue constraints on joint mobility in the avian shoulder.

Zipped folder contains the following files for each of the three specimens:



Segmented meshes in STL format

Image stack of the CT scan (16-bit tiff)

XTekCT file with the CT scan information
DOI: 10.5281/zenodo.15437558
title: RLP ROM data

description: Range of motion (ROM) and X-ray reconstruction of moving morphology (XROMM) data of the Red-legged partridge (Alectoris rufa; RLP). This dataset is part of the publication: Soft tissue constraints on joint mobility in the avian shoulder.

The zipped folder is structured in ROM, XROMM and Ligament subdirectories: 



XROMM folder contains the raw data (3d marker trajectories) and the resultant joint translations and rotations for all analysed XROMM trials for the three RLP specimens (RLP2, RLP3, RLP4). 

ROM folder contains the resultant joint translations and rotations for the ROM simulations for RLP2-4.

Ligament folder contains simulated ligaments for the XROMM trials and the ROM simulations for RLP2-4.
DOI: 10.15468/dl.sy57kr
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alcea lenkoranica Iljin"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015341-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wkex3w
title: Occurrence Download

description: A dataset containing 6089 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Sbp-BioBlitz2017_60years-BiodiversityData"
 ]
}

 The dataset includes 6089 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015343-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15490160
title: raw data for the article "Enantioselective Synthesis of 1,2-Disubstituted Thiocyclobutanes via Michael Addition"

description: Raw NMR, IR and MS  data  for the article "Enantioselective Synthesis of 1,2-Disubstituted Thiocyclobutanes via Michael Addition" published in  Chem. Sci.

DOI: https://doi.org/10.1039/D5SC01727K

The number of the folders either correspond to compounds numbers in the article or the name of the folder is self-describing. Compounds structures are included in the folder as mole files. All details concerning conditions and equipment for measurements can be found in the supporting information of the article. For convenience, the word file version of the supporting information can be found on the top of the raw data folder.
DOI: 10.5281/zenodo.15490161
title: raw data for the article "Enantioselective Synthesis of 1,2-Disubstituted Thiocyclobutanes via Michael Addition"

description: Raw NMR, IR and MS  data  for the article "Enantioselective Synthesis of 1,2-Disubstituted Thiocyclobutanes via Michael Addition" published in  Chem. Sci.

DOI: https://doi.org/10.1039/D5SC01727K

The number of the folders either correspond to compounds numbers in the article or the name of the folder is self-describing. Compounds structures are included in the folder as mole files. All details concerning conditions and equipment for measurements can be found in the supporting information of the article. For convenience, the word file version of the supporting information can be found on the top of the raw data folder.
DOI: 10.5281/zenodo.15470295
title: Database - Spoke5_RT3_Technology and Lean Practices

description: This study was funded by the European Union - NextGenerationEU, in the framework of the iNEST - Interconnected Nord-Est Innovation Ecosystem (iNEST ECS00000043 – C43C22000340006). The views and opinions expressed are solely those of the authors and do not necessarily reflect those of the European Union, nor can the European Union be held responsible for them. The dataset was developed as part of the activities carried out by Spoke 5, Research Topic 3 (People, organizations and processes for industry 5.0), Task S5_Task 3.2 (Organizational aspect in smart and  for  sustainable manufacturing)
DOI: 10.5281/zenodo.15470296
title: Database - Spoke5_RT3_Technology and Lean Practices

description: This study was funded by the European Union - NextGenerationEU, in the framework of the iNEST - Interconnected Nord-Est Innovation Ecosystem (iNEST ECS00000043 – C43C22000340006). The views and opinions expressed are solely those of the authors and do not necessarily reflect those of the European Union, nor can the European Union be held responsible for them. The dataset was developed as part of the activities carried out by Spoke 5, Research Topic 3 (People, organizations and processes for industry 5.0), Task S5_Task 3.2 (Organizational aspect in smart and  for  sustainable manufacturing)
DOI: 10.5281/zenodo.13910772
title: (for review) prompts
DOI: 10.5281/zenodo.15493871
title: TransTCR
DOI: 10.5281/zenodo.15493872
title: TransTCR
DOI: 10.34740/kaggle/dsv/11919824
title: World Stock Prices ( Daily Updating )
DOI: 10.15468/dl.s8fx2e
title: Occurrence Download

description: A dataset containing 1481 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Meles meles (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((7.246644 44.43378, 10.321891 44.43378, 10.321891 48.10743, 7.246644 48.10743, 7.246644 44.43378))",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2000"
 ]
}

 The dataset includes 1481 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015344-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29135468
title: Data for "Surfacing Semantic Orthogonality Across Model Safety Benchmarks: A Multi-Dimensional Analysis"

description: This dataset is referenced by DOI https://doi.org/10.5121/csit.2025.150903 accessible at https://aircconline.com/csit/papers/vol15/csit150903.pdf and follows the steps for calculating sample size and is the concatenated dataset of benchmarks that have sampled the minimal rows for statistical significance of said calculations in differences between datasets, with all assumptions noted in the paper.
DOI: 10.15468/dl.fgdp9p
title: Occurrence Download

description: A dataset containing 1766864 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cyclura nubila (Gray, 1831), Hylophilus flavipes Lafresnaye, 1845, Myiarchus venezuelensis Lawrence, 1865, Pampusana xanthonura (Temminck, 1823), Odontophorus capueira (Spix, 1825), Neopelma aurifrons (Wied-Neuwied, 1831), Laniisoma elegans (Thunberg, 1823), Phylloscartes oustaleti (P.L.Sclater, 1887), Conopias trivirgatus (Wied-Neuwied, 1831), Stilpnia peruviana (Desmarest, 1806), Saltator fuliginosus (Daudin, 1800), Attila rufus (Vieillot, 1819), Marmosops paulensis (Tate, 1931), Hylophilus poicilotis Temminck, 1822, Phibalura flavirostris Vieillot, 1816, Cacicus chrysopterus (Vigors, 1825), Veniliornis spilogaster (Wagler, 1827), Orchesticus abeillei (R.Lesson, 1839), Mionectes rufiventris Cabanis, 1846, Melanerpes flavifrons (Vieillot, 1818), Morganella longispina (Morgan, 1889), Hemithraupis ruficapilla (Vieillot, 1818), Lycorea ilione (Cramer), Thraupis cyanoptera (Vieillot, 1817), Phyllomyias fasciatus (Thunberg, 1822), Melanerpes rubricapillus (Cabanis, 1862), Myiopagis caniceps (Swainson, 1835), Turdus subalaris (Seebohm, 1887), Loriotus cristatus (Linnaeus, 1766), Pachyramphus validus (Lichtenstein, 1823), Patagioenas cayennensis (Bonnaterre, 1792), Myiarchus swainsoni Cabanis & Heine, 1859, Tityra inquisitor (Lichtenstein, 1823), Ilicura militaris (Shaw, 1809), Trogon surrucura Vieillot, 1817, Cnemotriccus fuscatus (Wied-Neuwied, 1831), Thamnophilus doliatus (Linnaeus, 1764), Tolmomyias flaviventris (Wied-Neuwied, 1831), Haplospiza unicolor Cabanis, 1851, Tangara cyanocephala (P.L.S.Müller, 1776), Orthogonys chloricterus (Vieillot, 1819), Euphonia pectoralis (Latham, 1801), Thraupis ornata (Sparrman, 1789), Carpornis cucullata (Swainson, 1821), Lipaugus lanioides (Lesson, 1844), Pyrrhura frontalis (Vieillot, 1818), Pteroglossus bailloni (Vieillot, 1819), Triclaria malachitacea (Spix, 1824), Elaenia obscura (Orbigny & Lafresnaye, 1837), Schiffornis virescens (Lafresnaye, 1838))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1766864 records from 660 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015336-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18221359
title: Thermotherapy on Xylella fastidiosa infected almond plants

description: This dataset includes the amplification data from almond plants artificially infected or not with X. fastidiosa and submitted or not to a thermal treatment (43ºC for 180 min). The greenhouse experiment was carried out during 2025. This research was supported by ‘BEXYL’ (Beyond Xylella, Integrated Management Strategies for Mitigating Xylella fastidiosa impact in Europe; grant number 101060593).
DOI: 10.5281/zenodo.18221360
title: Thermotherapy on Xylella fastidiosa infected almond plants

description: This dataset includes the amplification data from almond plants artificially infected or not with X. fastidiosa and submitted or not to a thermal treatment (43ºC for 180 min). The greenhouse experiment was carried out during 2025. This research was supported by ‘BEXYL’ (Beyond Xylella, Integrated Management Strategies for Mitigating Xylella fastidiosa impact in Europe; grant number 101060593).
DOI: 10.15156/bio/sh1269042.10fu
title: SH1269042.10FU

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/sh1269044.10fu
title: SH1269044.10FU

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/sh1269045.10fu
title: SH1269045.10FU

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/sh1269050.10fu
title: SH1269050.10FU

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/sh1269051.10fu
title: SH1269051.10FU

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/sh1269052.10fu
title: SH1269052.10FU

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/sh1269053.10fu
title: SH1269053.10FU

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/sh1269054.10fu
title: SH1269054.10FU

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/sh1269058.10fu
title: SH1269058.10FU

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/sh1269059.10fu
title: SH1269059.10FU

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.