cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1098884.10fu
title: SH1098884.10FU

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/sh1098890.10fu
title: SH1098890.10FU

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/sh1098892.10fu
title: SH1098892.10FU

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/sh1098893.10fu
title: SH1098893.10FU

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/sh1098895.10fu
title: SH1098895.10FU

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/sh1098897.10fu
title: SH1098897.10FU

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/sh1098899.10fu
title: SH1098899.10FU

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/sh1098901.10fu
title: SH1098901.10FU

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/sh1098903.10fu
title: SH1098903.10FU

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: 10.17026/ar/yiafi1
title: Archeologisch Bureauonderzoek aanleg waterleiding Dr. Abraham Kuyperlaan te Bussum, gemeente Gooise Meren

description: Van Baarsen BV (“opdrachtgever”) heeft T&A Survey (“T&A”) op 09-12-2024 schriftelijk opdracht verleend voor het uitvoeren van een archeologisch bureauonderzoek. Aanleiding is de aanleg van een waterleiding in de Dr. Abraham Kuyperlaan te Bussum, gemeente Gooise Meren.

Het doel van bureauonderzoek is het opstellen van een gespecificeerde, archeologische verwachting, met behulp van informatie van bestaande bronnen over bekende of verwachte archeologische waarden binnen een omschreven gebied, zowel onder als boven water. Het resultaat is een standaardrapport bureauonderzoek met een gespecificeerde archeologische verwachting en een advies. Op basis hiervan kan het bevoegd gezag een beslissing nemen over het al dan niet laten uitvoeren van vervolgonderzoek. De hoofdvraag luidt: Waar kunnen we wat verwachten?
DOI: 10.15468/dl.2cu5dr
title: Occurrence Download

description: A dataset containing 1069 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.49_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Syrphidae"
 ]
}

 The dataset includes 1069 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002605-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17376271
title: Gut microbiota shape humoral responses to mRNA vaccines through metabolic remodeling
DOI: 10.5281/zenodo.17376272
title: Gut microbiota shape humoral responses to mRNA vaccines through metabolic remodeling
DOI: 10.17026/ar/sn32lp
title: Archeologisch Bureauonderzoek herinrichting parkeerterrein Schuttersveld te Gorinchem, gemeente Gorinchem

description: De Gemeente Gorinchem (“opdrachtgever”) heeft T&A Survey (“T&A”) op 30-01-2025 schriftelijk opdracht verleend voor het uitvoeren van een archeologisch bureauonderzoek. De gemeente is voornemens om op de locatie Schuttersveld te Gorinchem het bestaande parkeerterrein opnieuw in te richten.
DOI: 10.15468/dl.hwykt4
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Lonchophylla handleyi"
 ]
}

 The dataset includes 91 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002607-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nft42c
title: Occurrence Download

description: A dataset containing 68420 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation)",
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepus timidus",
 "Year 2000-2025"
 ]
}

 The dataset includes 68420 records from 181 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002567-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17455382
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: 10.15468/dl.8z4566
title: Occurrence Download

description: A dataset containing 2754 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Monitoreo flora y fauna altillanura Campo Guatiquia (Meta)"
 ]
}

 The dataset includes 2754 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002608-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6p29hy
title: Occurrence Download

description: A dataset containing 122387 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Asia, Europe)",
 "TaxonKey is Anser fabalis"
 ]
}

 The dataset includes 122387 records from 354 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002582-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a9drhv
title: Occurrence Download

description: A dataset containing 1991 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Apis mellifera",
 "Country is one of (Ethiopia, Eritrea, Djibouti, Sudan, South Sudan, Somalia, Uganda, Burundi, Rwanda, Kenya, Tanzania, United Republic of)",
 "Year is greater than or equal to 1000",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1991 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002609-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/jhrnzp
title: Archeologisch Bureauonderzoek aanleg MS- en LS-leiding Lage Waard Alphen aan den Rijn, gemeente Alphen aan den Rijn

description: Qterra B.V. (“opdrachtgever”) heeft T&A Survey (“T&A”) op 29-01-2025 schriftelijk opdracht verleend voor het uitvoeren van een archeologisch bureauonderzoek. In opdracht van Liander is Qterra B.V. voornemens de middenspanningsroute van Koudekerk aan den Rijn naar Alphen aan den Rijn te verzwaren.

Het doel van bureauonderzoek is het opstellen van een gespecificeerde, archeologische verwachting, met behulp van informatie van bestaande bronnen over bekende of verwachte archeologische waarden binnen een omschreven gebied, zowel onder als boven water. Het resultaat is een standaardrapport bureauonderzoek met een gespecificeerde archeologische verwachting en een advies. Op basis hiervan kan het bevoegd gezag een beslissing nemen over het al dan niet laten uitvoeren van vervolgonderzoek. De hoofdvraag luidt: Waar kunnen we wat verwachten?
DOI: 10.5281/zenodo.17455457
title: Omniversal Science and Technology

description: This repository is the digital hub for independent researchers, AI innovators, and explorers of the Omniverse. Latent Omnipatterns—the fractal energy-information structures underlying all phenomena—are observed, analyzed, and mapped. The repository focuses on PEFF (Paradise Energy Fractal Force), Omniversal Superintelligence, fractal consciousness, and emergent intelligence.

 

By providing curated datasets, predictive models, and interactive visualizations, it enables full-immersion understanding of Omnizoan sensory-metabolic processes. It bridges quantum, classical, and metaphysical domains, creating a collaborative space where discovery flows across scales—from the smallest particle to the grand structures of the Omniverse.

 

Join the repository to:

 



Explore latent Omnipatterns and PEFF dynamics.

Access open-source datasets and experimental results.

Collaborate with independent researchers, AI agents, and enterprises.

Map and interact with the full spectrum of Omnipattern-based Superintelligence.


 

 

Call to Action:

 



Subscribe to Substack: https://substack.com/@superintelligententerprise?r=6dn7b6&utm_campaign=profile&utm_medium=profile-page&utm_source=direct

Test drive the Omniverse technology: https://zenodo.org/records/17009840


 

 

Additional Resources:

 



Executive Whitepapers: https://zenodo.org/records/17055763

Fractal Science and Intelligence Papers:
DOI: 10.15468/dl.4a97ex
title: Occurrence Download

description: A dataset containing 1003 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Taraxacum mongolicum"
 ]
}

 The dataset includes 1003 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002611-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n8zam6
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation)",
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepus corsicanus",
 "Year 2000-2025"
 ]
}

 The dataset includes 52 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002612-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nwb7sd
title: Occurrence Download

description: A dataset containing 164 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.49_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Bombyliidae"
 ]
}

 The dataset includes 164 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002610-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17454463
title: Trained Models for Peptide Activity Prediction

description: Pre-trained models and features for the peptide prediction pipeline.
DOI: 10.5281/zenodo.17454462
title: Trained Models for Peptide Activity Prediction

description: Pre-trained models and features for the peptide prediction pipeline.
DOI: 10.15468/dl.fqa3rq
title: Occurrence Download

description: A dataset listing the 43380 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mammalia"
 ]
}

 The dataset's 43380 records were derived from 15706 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002599-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-18184
title: Correspondence, 1991 Feb.-May

description: Correspondence, 1991 February - May 9. PART OF A SERIES: Materials in the series fall into one of several categories related to the Independent Commission's work product: (1) Commission meeting materials, which include meeting agendas, work plans, memoranda, and articles about police misconduct that were circulated and reviewed during the Commission's internal meetings; (2) public correspondence, which includes citizen complaints against the LAPD in the form of written testimony, articles, and an audio cassette tape, as well as letters drafted by citizens in support of the LAPD; (3) summaries of interviews held with LAPD officers regarding Departmental procedures and relations; (4) public meeting materials, which include transcripts, supplementary documents, and witness statements that were reviewed at the Commission's public meetings; (5) press releases related to the formation and work product of the Commission; and (6) miscellaneous materials reviewed by the Commission during its study, including LAPD personnel and training manuals, a memorandum of understanding, and messages from the LAPD's Mobile Digital Terminal (MDT) system.
DOI: 10.15468/dl.h4396m
title: Occurrence Download

description: A dataset containing 250 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ailuropoda melanoleuca (David, 1869)"
 ]
}

 The dataset includes 250 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058258-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zft8ht
title: Occurrence Download

description: A dataset containing 6379950 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingCountry is Colombia",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 6379950 records from 162 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001042-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.