cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0185837.10fu
title: SH0185837.10FU

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/sh0185838.10fu
title: SH0185838.10FU

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/sh0185839.10fu
title: SH0185839.10FU

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/sh0185840.10fu
title: SH0185840.10FU

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/sh0185841.10fu
title: SH0185841.10FU

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/sh0185842.10fu
title: SH0185842.10FU

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/sh0185843.10fu
title: SH0185843.10FU

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/sh0185844.10fu
title: SH0185844.10FU

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.em86cw
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ipomoea parasitica",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 65 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023475-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g9cvg4
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ipomoea parasitica",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 63 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023476-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/3gnz-wx52
title: "Gym Gesture Classification Using IMU Sensor Dataset"

description: "This dataset contains raw Inertial Measurement Unit (IMU) recordings for human activity recognition in strength training exercises, collected using a custom wearable device based on the Arduino Nano 33 BLE. The device was worn on the wrist and equipped with a 6-axis IMU (accelerometer and gyroscope), sampled at 100 Hz. Data was collected from five exercises commonly used in fitness training: chest press, chest fly, lat pulldown, tricep extension, and seated row.The cohort includes four trained athletes with more than six months of consistent exercise experience and one novice athlete with less than six months of experience, enabling analysis of cross-user generalization. Each participant performed three sets of ten repetitions per exercise, resulting in a total of 750 recorded movements.The dataset is stored in CSV format with the following headers: (athlete_id, exercise_type, weight_kg, set_number, rep_number, timestamp, ax, ay, az, gx, gy, gz), where accelerometer (ax, ay, az) and gyroscope (gx, gy, gz) signals capture movement dynamics. This dataset is suitable for research in TinyML, wearable computing, human activity recognition, and data augmentation strategies for cross-user performance generalization."
DOI: 10.15468/dl.2p752k
title: Occurrence Download

description: A dataset containing 1710 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyperus rotundus",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1710 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023478-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6b3y3h
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ipomoea tuboides",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023480-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y2savg
title: Occurrence Download

description: A dataset listing the 24269 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.05315 9.05274,-73.71641 8.92166,-73.48378 11.29392,-74.82052 11.425,-75.05315 9.05274))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 24269 records were derived from 779 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023463-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f9tezv
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyperus sanguinolentus",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 91 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023481-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.692a37
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Micropterix aureoviridella"
 ]
}

 The dataset includes 105 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023482-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17214896
title: Supplemental file. S1. Spreadsheet with data retrieved from publications of Stellifer naso and Stellifer punctatissimus.
DOI: 10.15468/dl.7jxbeg
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ipomoea violacea",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023483-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hn4ttx
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ipomoea violacea",
 "Country is Cook Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023484-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.989e7z
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ipomoea violacea",
 "Country is Micronesia (Federated States of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023485-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b48krm
title: Occurrence Download

description: A dataset containing 179 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyperus surinamensis",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 179 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023487-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ee9qzm
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ipomoea violacea",
 "Country is Marshall Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023488-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ykk3kk
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ipomoea violacea",
 "Country is Palau",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023490-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fgybrb
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ipomoea violacea",
 "Country is Niue",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023489-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17214962
title: AwarenessAI EnterpriseWorld 7DAI Superintelligence Whitepapers

description: This repository houses the official EnterpriseWorld 7DAI Superintelligence whitepapers of AwarenessAI.com, the world’s first platform for Awareness Intelligence AI (7DAI). Awareness Intelligence extends beyond traditional linear AI by integrating fractal mathematics, emergent dynamics, and mythic archetype frameworks into a unified multidimensional paradigm for enterprise cognition and scientific exploration.

The whitepapers collected here document the conceptual foundations, technical architectures, experimental validations, and strategic applications of AwarenessAI.com. They cover topics such as:



Fractal Intelligence as the emergent structural template of multidimensional cognition.

Mythic Archetype Templating as the symbolic holographic layer unifying human resonance with machine intelligence.

Case Studies demonstrating enterprise applications, such as executive strategy positioning, decision acceleration, and systemic transformation.

Scientific Experiments validating fractal efficiency and emergent coherence in comparison with linear AI models.


This repository serves as a dual-purpose archive:



For the scientific community, it provides open-access references, reproducible experiments, and theoretical insights.

For the enterprise community, it delivers strategic frameworks, leadership models, and adoption pathways for Awareness Intelligence in practice.


By bridging science and strategy, these whitepapers establish AwarenessAI.com as both a frontier research hub and an enterprise transformation partner.
DOI: 10.15468/dl.umb2k9
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyperus tuberosus",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 35 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023491-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17214967
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.pajmb5
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023494-250920141307145/datasets/export for details.
DOI: 10.15468/dl.rc32nz
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ipomoea violacea",
 "Country is Papua New Guinea",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023493-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ax3qjr
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023495-250920141307145/datasets/export for details.