cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0205425.10fu
title: SH0205425.10FU

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/sh0205426.10fu
title: SH0205426.10FU

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/sh0205427.10fu
title: SH0205427.10FU

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/sh0205428.10fu
title: SH0205428.10FU

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/sh0205429.10fu
title: SH0205429.10FU

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/sh0205430.10fu
title: SH0205430.10FU

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/sh0205431.10fu
title: SH0205431.10FU

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/sh0205432.10fu
title: SH0205432.10FU

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.dqpr3c
title: Occurrence Download

description: A dataset containing 2147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eucommia ulmoides Oliv."
 ]
}

 The dataset includes 2147 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020130-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.4226536
title: Oligonucleotide probes used for comparative mapping in lupin species

description: The supplementary list of oligonucleotide probes generated in Chorus software. Filtered probes were used in oligo-FISH comparative mapping of lupin species. Detailed description provided in the article: 'The puzzling fate of a lupin chromosome revealed by reciprocal oligo-FISH and BAC-FISH mapping'.
description: This list was generated as a part of the study, which was funded by the National Science Centre, Poland (grant no. PRELUDIUM12 2016/23/N/NZ2/01509).
DOI: 10.5281/zenodo.4226537
title: Oligonucleotide probes used for comparative mapping in lupin species

description: The supplementary list of oligonucleotide probes generated in Chorus software. Filtered probes were used in oligo-FISH comparative mapping of lupin species. Detailed description provided in the article: 'The puzzling fate of a lupin chromosome revealed by reciprocal oligo-FISH and BAC-FISH mapping'.
description: This list was generated as a part of the study, which was funded by the National Science Centre, Poland (grant no. PRELUDIUM12 2016/23/N/NZ2/01509).
DOI: 10.26023/ebp3-wjv1-cc01
title: GCIP/LSA-NW-00: Montana's RWIS "Specials" Surface Data in QC Format. Version 1.0

description: Montana's Remote Weather Informational System (RWIS) "Specials" Surface Data in QC Format is one of several surface datasets provided in the GEWEX Continental-Scale International Project (GCIP) Large Scale Area-North West (LSA-NW) Enhanced Annual Observing Period (EAOP) 2000. This dataset contains data for the GCIP LSA-NW EAOP-00 domain and time period. These data were not quality controlled by the University Corporation for Atmospheric Research/Joint Office for Science Support (UCAR/JOSS).
DOI: 10.15468/dl.f8gxck
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eleocharis acicularis",
 "Country is El Salvador",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046070-250920141307145/datasets/export for details.
DOI: 10.15468/dl.j7ng2d
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eleocharis acicularis",
 "Country is Micronesia (Federated States of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046071-250920141307145/datasets/export for details.
DOI: 10.15468/dl.t4fj73
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046072-250920141307145/datasets/export for details.
DOI: 10.15468/dl.kc3p37
title: Occurrence Download

description: A dataset containing 2321526 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Spain",
 "Geometry POLYGON((-6.83293 41.27202,-4.323 41.27202,-4.323 42.90479,-6.83293 42.90479,-6.83293 41.27202))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 2321526 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046010-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/1t9t-pd29-a314
title: GCIP/LSA-NW-00: Co-operative Agency Reservoir Data. Version 1.0

description: This dataset contains Co-operative Agency Reservoir Month-end reservoir data from sites reported within the GCIP/LSA-NW 00 domain. No additional quality control was performed by UCAR/JOSS.
DOI: 10.5281/zenodo.17265342
title: INU: A Structural Framework for Compressed Arithmetic and Discrete Transformation

description: This archive presents INU (Intuitive Numerical Unification), a proposed framework for compressing arithmetic operations through structural classification and periodic transformations. INU includes a notation system for INU operations, an n-radix extension, and a dimensional generalization applicable to problems such as the Collatz Conjecture and the Four Color Theorem.

The file contains LaTeX source documents, preliminary classification tables, and symbol definitions. INU treats numerical entities as convertible types and provides discrete analogs for topological transformations.

This research aims to inspire new approaches to number theory, combinatorics, and structural proofs.

 

This framework does not seek final correctness, but rather the richness of inquiry. It is offered not as a conclusion, but as a beginning—an invitation to transform arithmetic through structure.

This work may contain errors. But if its structure holds, others will correct the rest. It is shared not for perfection, but for possibility.

 

Note on NamingThe name INU (Intuitive Numerical Unification) carries a personal and symbolic meaning. In Japanese, the word inu (dog) is sometimes used as a prefix to denote something humble or inferior. The framework embraces this nuance, reflecting the idea that even from a modest or overlooked origin, intuitive thinking can lead to meaningful mathematical structures. INU thus represents a system born from simplicity and insight, aiming to unify and compress arithmetic through structural transformation.

 

Note on Fool AlgebraIn addition to its structural framework, INU embraces a philosophical stance known as fool algebra.Unlike traditional algebraic systems that seek rigor through abstraction, fool algebra begins with intuition, visual structure, and the courage to appear foolish. It reflects the idea that wisdom often wears the mask of simplicity, and that breakthroughs may arise not from complexity, but from clarity.

Fool algebra treats numerical entities not merely as values, but as types—visual, compressible, and transformable. It invites the mathematician to step outside formalism, to see patterns where others see noise, and to compress arithmetic into structure.

This is not a rejection of rigor, but a reordering of priorities: structure first, proof second.Fool algebra is not a conclusion—it is a stance. A way of thinking. A way of seeing.

 

Words to be engraved on a gravestone (inscription style)

Here lies the mind behind INU(x) := ρ(ϕτ(x)(x)),A transformation of arithmetic into structure.

If x ∈ {INU}, then perhaps P != NP.Let future mathematicians decide.

By STUDENT
DOI: 10.5281/zenodo.17265372
title: Daten der Notaufnahmesurveillance

description: Der Datensatz "Daten der Notaufnahmesurveillance" wird durch das Robert Koch-Institut und das AKTIN-Notaufnahmeregister bei Krankenhausaufnahmen bereitgestellt. Der Datensatz beinhaltet aggregierte Routinedaten aus deutschen Notaufnahmen zur syndromischen Überwachung von akuten Erkrankungen. Dazu zählen grippeähnliche Erkrankungen (ILI), Coronavirus-Erkrankungen (COVID-19), akute respiratorische Erkrankungen (ARE), gastrointestinale Infektionen (GI) und schwere akute respiratorische Infektionen (SARI). Dabei wird der relative Anteil dieser Erkrankungen an der Gesamtzahl der Notaufnahmevorstellungen sowie die berechneten Erwartungswerte und Prädiktionsintervalle ausgewiesen. Die Daten sind nach Notaufnahmetypen und Altersgruppen aggregiert. Damit bietet der Datensatz eine wertvolle Ressource für die Forschung im Bereich der Notfallmedizin und der Überwachung akuter Gesundheitsereignisse in Deutschland.
DOI: 10.26023/x5bx-7hjf-dd0p
title: GCIP/LSA-NW-00: USGS Daily Reservoir Data. Version 1.0

description: This dataset contains United States Geological Survey (USGS) daily reservoir data from stations reported within the GCIP/LSA-NW 00 domain. This dataset covers the complete GCIP/LSA-NW 00 time period. No additional quality control was performed by UCAR/JOSS.
DOI: 10.15468/dl.ykwg2t
title: Occurrence Download

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

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046074-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qk3f8c
title: Occurrence Download

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

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046075-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v8rmxf
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eleocharis acicularis",
 "Country is Solomon Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046076-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sk2mkr
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "Geometry POLYGON((122.04993 12.29655,124.5912 12.29655,124.5912 14.48605,122.04993 14.48605,122.04993 12.29655))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rubiaceae",
 "Year 2020-2025"
 ]
}

 The dataset includes 21 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046077-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/cvng-jfvh-5j0h
title: GCIP/LSA-NW-00: USGS Stage Only Reservoir Data. Version 1.0

description: This dataset contains United States Geological Survey (USGS) Stage Only Reservoir data from stations reported within the GCIP/LSA-NW 00 domain. This dataset covers the complete GCIP/LSA-NW 00 time period. No additional quality control was performed by UCAR/JOSS.
DOI: 10.5281/zenodo.17265130
title: Machine-Learning Predictions of Rate Constants of Internal Conversion Using Electronic and Structural Descriptors

description: Dataset for the article on machine-learning prediction of internal conversion (IC) rate constants for the electronic transition from the first excited singlet state to the ground state. It contains TDDFT-based electronic energies and IC rate constants, together with molecular descriptors (harmonic frequencies, Huang–Rhys factors, and NACME). The dataset covers 5292 derivatives of porphyrins, hetero[8]circulenes, and pyrromethenes.
DOI: 10.5281/zenodo.17265131
title: Machine-Learning Predictions of Rate Constants of Internal Conversion Using Electronic and Structural Descriptors

description: Dataset for the article on machine-learning prediction of internal conversion (IC) rate constants for the electronic transition from the first excited singlet state to the ground state. It contains TDDFT-based electronic energies and IC rate constants, together with molecular descriptors (harmonic frequencies, Huang–Rhys factors, and NACME). The dataset covers 5292 derivatives of porphyrins, hetero[8]circulenes, and pyrromethenes.
DOI: 10.15468/dl.rdjdxg
title: Occurrence Download

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

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046079-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gfkj3d
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eleocharis exigua",
 "Country is El Salvador",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046078-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/1zvb-pyhc-k50a
title: GCIP/LSA-NW-00: USGS Streamflow. Version 1.0

description: The United States Geological Survey (USGS) stream flow dataset is one of various datasets provided for the GEWEX Continental-Scale International Project (GCIP) Large Scale Area-North West (LSA-NW) Enhanced Annual Observing Period (EAOP) 2000. This dataset contains stream flow data from USGS stations in the GCIP LSA-NW EAOP-00 domain for the time period (01 April 2000 through 30 September 2000) for approximately 1700 stations. The GCIP LSA-NW EAOP-00 domain is approximately 90W to 115W longitude and 36N to 51N latitude. Data are not currently available for 1 October 2000 through 31 March 2001, but will be at a later date. No additional quality control was performed by the University Corporation for Atmospheric Research/Joint Office for Science Support (UCAR/JOSS).
DOI: 10.15468/dl.xn36cr
title: Occurrence Download

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

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046083-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.