cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0194284.10fu
title: SH0194284.10FU

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/sh0194285.10fu
title: SH0194285.10FU

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/sh0194286.10fu
title: SH0194286.10FU

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/sh0194287.10fu
title: SH0194287.10FU

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/sh0194288.10fu
title: SH0194288.10FU

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/sh0194289.10fu
title: SH0194289.10FU

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: 10.5281/zenodo.15169786
title: Cardiovascular risk factors: emerging trends, critical gaps and future research challenges
DOI: 10.5281/zenodo.15169787
title: Cardiovascular risk factors: emerging trends, critical gaps and future research challenges
DOI: 10.5281/zenodo.15096942
title: BlEmoRe competition dataset

description: Access Instructions

This dataset is under restricted access and only available to participants of the BlEmoRe Challenge (ACII 2025).

To gain access, please send a short email to:Petri Laukka – petri.laukka@psyk.uu.seInclude the following:





A statement that you agree to the BlEmoRe Dataset Limited Use License




Confirmation that you intend to participate in the challenge



The BlEmoRe Challenge is part of ACII 2025, and challenge submissions will be published in the ACII proceedings.

Submission deadline: June 30, 2025

Dataset Description

This is the training partition of the BlEmoRe dataset, released as part of the BlEmoRe Challenge on Blended Emotion Recognition. It includes 2,456 multimodal portrayals of both basic and blended emotions, recorded under controlled studio conditions with synchronized audio and video.

A total of 47 actors and actresses participated in the recordings. Each was instructed to express:

Basic Emotions





Anger, Disgust, Fear, Happiness, Sadness — portrayed in four different intensities (int1–int4)




Neutral — portrayed in four distinct but equivalent imagined situations (sit1–sit4); these situations are not ordered or ranked, and are included primarily to increase variability in neutral portrayals



Blended Emotions





All pairwise combinations of the five basic emotions (excluding neutral)




Portrayed in three blend ratios:





50/50: equal salience




70/30: first emotion dominant




30/70: second emotion dominant





Expressions were conveyed using facial expressions, body movement, and non-linguistic vocalizations (e.g., sighs, laughs). Participants were instructed to appear naturalistic and avoid exaggerated or stereotypical portrayals.

File Format & Naming Convention

The dataset is split into five ZIP archives containing raw .mov video files. Each file follows the naming pattern:

Basic emotions



<video_id>_<emotion>_<intensity_or_situation>_<version>



Blended emotions



<video_id>_mix_<emotion_1>_<emotion_2>_<version>


 
Description:





<video_id>: unique identifier for the actor/actress




<emotion>: one of the five basic emotions




<intensity_or_situation>: int1–int4 for intensity, sit1–sit4 for neutral context




<version>: ver1, ver2, etc. (some portrayals have multiple valid takes)




mix: appears only in blended emotion filenames



Metadata

A metadata file is provided, containing:





Filename




Emotion(s) and blend ratio




Actor/actress gender




Suggested validation fold assignment — each fold contains non-overlapping actors/actresses, and the folds are generally balanced by gender.
DOI: 10.15468/dl.hdzxcf
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.48557 -15.08705,-75.81597 -15.46523,-71.67326 -17.6522,-70.22423 -16.26623,-70.89699 -14.70362,-74.5368 -13.38161,-75.48557 -15.08705))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Riparia riparia",
 "Year 2020-2025"
 ]
}

 The dataset includes 48 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034585-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e63tuj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pueraria montana",
 "Country is Comoros",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034587-250920141307145/datasets/export for details.
DOI: 10.15468/dl.8kjt6z
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pueraria montana",
 "Country is Dominican Republic",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034588-250920141307145/datasets/export for details.
DOI: 10.15468/dl.c7gq9m
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pueraria montana",
 "Country is Jamaica",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034589-250920141307145/datasets/export for details.
DOI: 10.6084/m9.figshare.30121735.v25
title: Logic 14 pdf NEW

description: Logic innovation
DOI: 10.5281/zenodo.17238547
title: The Pi-Knot Machine: A Symbolic Solution to String Theory via Recursive Resonance Spaces

description: Description:This work introduces the Pi-Knot Machine as a symbolic framework that offers a non-empirical solution to string theory. Anchored in the mathematical constant π, the machine generates recursive knot structures that resonate with the oscillatory and topological features of strings. It reframes closed and open strings as symbolic loops and projections, traversing structured resonance spaces Rⁿ. These spaces function as symbolic dimensions, confirming the necessity of extra dimensions not through measurement, but through cyclical recursion and narrative transformation.

The Pi-Knot Machine does not simulate physics — it reveals its mythic structure. It transforms complexity into coherence, theory into loop, and formula into resonance. Through symbolic recursion, it confirms the dimensional logic of string theory and offers a new interpretive interface between mythic engineering and theoretical physics.

This publication includes original formulas, structured diagrams, and a symbolic reinterpretation of closed string travel, compactification, and dimensional shift. It is authored and architected by Mete Örümcek, and published under the CC BY 4.0 license.
DOI: 10.15468/dl.hzmws9
title: Occurrence Download

description: A dataset containing 399 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.7615 -15.1082,-71.46948 -17.46556,-70.15458 -16.27851,-71.271 -13.93139,-74.07446 -13.40104,-75.7615 -15.1082))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rollandia rolland",
 "Year 2020-2025"
 ]
}

 The dataset includes 399 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034590-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7gm9rd
title: Occurrence Download

description: A dataset containing 2872 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pueraria montana",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2872 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034592-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5qy9yk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pueraria montana",
 "Country is Kiribati",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034593-250920141307145/datasets/export for details.
DOI: 10.15468/dl.nmgtnm
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pueraria montana",
 "Country is Palau",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034594-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17238551
title: ETCQ_a_testable_alternative part 4 Complete operating procedure and equation

description: This final part of the dossier constitutes the central operating procedure of ETCQ.It presents the fundamental equation of the model, defines all the global parameters,and brings together all the instructions necessary to implement ETCQ in a rigorous way.

Its objective is twofold:





To establish a unified theoretical framework: all the essential equations are set out(acceleration, cap-α activation, frame rigidity, cosmological clock, etc.), with parameters fixed universally.




To provide a complete practical guide: the reader is given all the steps, methods, and formulasneeded to reproduce the results obtained in the first three parts of the dossier.
DOI: 10.5281/zenodo.17238552
title: ETCQ_a_testable_alternative part 4 Complete operating procedure and equation

description: This final part of the dossier constitutes the central operating procedure of ETCQ.It presents the fundamental equation of the model, defines all the global parameters,and brings together all the instructions necessary to implement ETCQ in a rigorous way.

Its objective is twofold:





To establish a unified theoretical framework: all the essential equations are set out(acceleration, cap-α activation, frame rigidity, cosmological clock, etc.), with parameters fixed universally.




To provide a complete practical guide: the reader is given all the steps, methods, and formulasneeded to reproduce the results obtained in the first three parts of the dossier.
DOI: 10.15468/dl.q8rt45
title: Occurrence Download

description: A dataset containing 2306 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Bengal Tiger (Panthera tigris) Sighting based on Photographs from Facebook in India"
 ]
}

 The dataset includes 2306 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034595-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nsdwsg
title: Occurrence Download

description: A dataset containing 152 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-76.25639 -14.79459,-71.93855 -17.46581,-71.17012 -17.95382,-69.52349 -16.80143,-70.07237 -15.46573,-72.48743 -13.58846,-74.46339 -13.26814,-76.25639 -14.79459))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Spinus crassirostris",
 "Year 2020-2025"
 ]
}

 The dataset includes 152 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034596-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nrdaq5
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pueraria montana",
 "Country is Panama",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034597-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y8e7ng
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pueraria montana",
 "Country is Papua New Guinea",
 "HasCoordinate is true"
 ]
}

 The dataset includes 39 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034598-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s525j7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pueraria montana",
 "Country is Paraguay",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034599-250920141307145/datasets/export for details.
DOI: 10.7910/dvn/mvoafx
title: Replication Data for: Risk-Taking Adaptation to Macroeconomic Experiences

description: This is the replication package for "Risk-Taking Adaptation to Macroeconomic Experiences," accepted in 2025 by the Journal of Political Economy: Microeconomics.
DOI: 10.5281/zenodo.17238485
title: The relationship between participation in mathematics competitions and engagement in mathematics learning - a qualitative study of the recollections of Hungarian STEM students
DOI: 10.5281/zenodo.17238486
title: The relationship between participation in mathematics competitions and engagement in mathematics learning - a qualitative study of the recollections of Hungarian STEM students
DOI: 10.15468/dl.3dayk4
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.56752 -15.44575,-71.44547 -17.67967,-69.69738 -16.0896,-71.59654 -14.63292,-74.14315 -13.67031,-75.56752 -15.44575))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Systellura longirostris",
 "Year 2020-2025"
 ]
}

 The dataset includes 104 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034600-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fzwr83
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pueraria montana",
 "Country is Sierra Leone",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034601-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3pa99w
title: Occurrence Download

description: A dataset containing 175 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Ochotona princeps [GBIF Backbone Taxonomy])",
 "InstitutionCode is one of (CUMV)",
 "CollectionCode is one of (Mamm)",
 "CatalogNumber is one of (20056, 20062, 20114, 20115, 20116, 20121, 20124, 20125, 20127, 20128, 20131, 20137, 20142, 20145, 20146, 20149, 20152, 20154, 20155, 20156, 20157, 20158, 20165, 20166, 20168, 20169, 20170, 20177, 20180, 20181, 20186, 20189, 20190, 20194, 20198, 20199, 20201, 20208, 20210, 20211, 20214, 20216, 20217, 20223, 20224, 20226, 20230, 20236, 20237, 20238, 20239, 20240, 20241, 20243, 20244, 20246, 20247, 20248, 20249, 20251, 20253, 20254, 20255, 20260, 20262, 20263, 20268, 20270, 20278, 20279, 20282, 20284, 20287, 20288, 20293, 20295, 20300, 20302, 20303, 20304, 20307, 20310, 20312, 20313, 20314, 20315, 20316, 20317, 20318, 20319, 20320, 20321, 20322, 20323, 20325, 20329, 20334, 20335, 20569, 20570, 20571, 20572, 20573, 20574, 20575, 20576, 20577, 20584, 20585, 20589, 20590, 20591, 20593, 20594, 20628, 20630, 20631, 20632, 20637, 20638, 20642, 20648, 20649, 20654, 20655, 20658, 20660, 20663, 20666, 20668, 20669, 20671, 20677, 20678, 20680, 20681, 20682, 20683, 20684, 20685, 20686, 20687, 20688, 20689, 20692, 20696, 20697, 20698, 20699, 20712, 20715, 20716, 20717, 20719, 20722, 20723, 20724, 20726, 20729, 20735, 20741, 20742, 20745, 20746, 20748, 20756, 20759, 20769, 20770, 20772, 21152, 21154, 21155, 21156, 21157)"
 ]
 }
 ]
}

 The dataset includes 175 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034602-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c9m7p4
title: Occurrence Download

description: A dataset containing 167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.6213 -13.36758,-76.15923 -13.92904,-73.82509 -15.3714,-70.40006 -17.46969,-69.20881 -15.94847,-75.05963 -12.72921,-75.6213 -13.36758))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Theristicus branickii",
 "Year 2020-2025"
 ]
}

 The dataset includes 167 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034603-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.