cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27896865.v1
title: precipitation datasets: a case study in the Ten Tributariesregion

description: precipitation datasets: a case study in the Ten Tributariesregion
DOI: 10.15468/dl.9pmnep
title: Occurrence Download

description: A dataset containing 478416 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Vanellus vanellus (Linnaeus, 1758)"
 ]
}

 The dataset includes 478416 records from 205 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031284-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uq7rzf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Sinocrassula diversifolia H.Chuang)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031308-241107131044228/datasets/export for details.
DOI: 10.15468/dl.zwukpu
title: Occurrence Download

description: A dataset containing 356 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Sinocrassula indica (Decne.) A.Berger)"
 ]
}

 The dataset includes 356 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031309-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rn6t8q
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes aegypti (Linnaeus, 1762)",
 "Country is Martinique",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 43 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031310-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bwfcxq
title: Occurrence Download

description: A dataset containing 487815 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sciurus carolinensis Gmelin, 1788"
 ]
}

 The dataset includes 487815 records from 283 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031291-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14211725
title: Solar Flare-Induced Prenoon-Postnoon Asymmetry of Ionospheric Electron Density

description: These data come from the Thermosphere-Ionosphere-Electrodynamics General Circulation Model (TIEGCM).
DOI: 10.5281/zenodo.14211726
title: Solar Flare-Induced Prenoon-Postnoon Asymmetry of Ionospheric Electron Density

description: These data come from the Thermosphere-Ionosphere-Electrodynamics General Circulation Model (TIEGCM).
DOI: 10.15468/dl.4kk72m
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((147.794577 -33.287765, 147.799069 -33.287765, 147.799069 -33.285519, 147.794577 -33.285519, 147.794577 -33.287765)), ((147.794577 -33.287765, 147.790086 -33.287765, 147.790086 -33.290011, 147.794577 -33.290011, 147.794577 -33.287765)), ((147.799069 -33.285519, 147.801315 -33.285519, 147.801315 -33.281027, 147.799069 -33.281027, 147.799069 -33.285519)))"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073083-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zthg4x
title: Occurrence Download

description: A dataset containing 168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "OccurrenceStatus is Present",
 "TaxonKey is Sorocea sarcocarpa Lanj. & Wess.Boer"
 ]
}

 The dataset includes 168 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073084-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x852bw
title: Occurrence Download

description: A dataset containing 4569 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ardisia elliptica Thunb."
 ]
}

 The dataset includes 4569 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073085-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p6vnag
title: Occurrence Download

description: A dataset containing 305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Epidendrum ibaguense Kunth"
 ]
}

 The dataset includes 305 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073087-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4pzf6n
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.031006 -33.296748, 147.031006 -33.307977, 147.035497 -33.307977, 147.035497 -33.312469, 147.039989 -33.312469, 147.039989 -33.31696, 147.031006 -33.31696, 147.031006 -33.321452, 147.02876 -33.321452, 147.02876 -33.323697, 147.031006 -33.323697, 147.031006 -33.325943, 147.035497 -33.325943, 147.035497 -33.323697, 147.04448 -33.323697, 147.04448 -33.321452, 147.048972 -33.321452, 147.048972 -33.319206, 147.053464 -33.319206, 147.053464 -33.305731, 147.048972 -33.305731, 147.048972 -33.30124, 147.042235 -33.30124, 147.042235 -33.307977, 147.039989 -33.307977, 147.039989 -33.298994, 147.035497 -33.298994, 147.035497 -33.296748, 147.031006 -33.296748))"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073088-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hcdnq4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.18372 -33.319206, 147.18372 -33.321452, 147.185966 -33.321452, 147.185966 -33.319206, 147.18372 -33.319206))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073089-240626123714530/datasets/export for details.
DOI: 10.15468/dl.p2jy5n
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.192703 -33.328189, 147.192703 -33.330435, 147.197195 -33.330435, 147.197195 -33.332681, 147.199441 -33.332681, 147.199441 -33.328189, 147.192703 -33.328189))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073090-240626123714530/datasets/export for details.
DOI: 10.15468/dl.aqjwtj
title: Occurrence Download

description: A dataset containing 296 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "OccurrenceStatus is Absent"
 ]
}

 The dataset includes 296 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073091-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dwz6az
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.215161 -33.325943, 147.215161 -33.328189, 147.21067 -33.328189, 147.21067 -33.332681, 147.208424 -33.332681, 147.208424 -33.339418, 147.215161 -33.339418, 147.215161 -33.332681, 147.217407 -33.332681, 147.217407 -33.328189, 147.219653 -33.328189, 147.219653 -33.325943, 147.215161 -33.325943))"
 ]
}

 The dataset includes 35 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073092-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7n5rv4
title: Occurrence Download

description: A dataset containing 15029113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 15029113 records from 1672 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073074-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0206601.10fu
title: SH0206601.10FU

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/sh0206602.10fu
title: SH0206602.10FU

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.18203439
title: Aging as Signal Desynchronization: A Falsifiable Framework Centered on ECAR-0

description: Current aging paradigms focus primarily on the accumulation of molecular and cellular damage. We propose an alternative, falsifiable framework: aging as a progressive desynchronization from organism-level timing signals, culminating in a quantifiable metabolic state we term ECAR-0. This state is defined by a high basal extracellular acidification rate (ECAR, indicating glycolytic flux) with a blunted oxygen consumption rate (OCR, indicating mitochondrial respiration) response to circadian hormonal cues (e.g., melatonin). We hypothesize that ECAR-0 represents cellular "deafness" to systemic timing information, leading to a failure of tissue-level coordination that precedes and drives phenotypic decline. This framework generates five specific, falsifiable predictions that directly contradict expectations from pure damage-accumulation models. We provide explicit experimental protocols to decisively test between desynchronization and damage-centric paradigms.

IP Framework & Rights Assertion:

1. Text Layer (Open Access): This manuscript is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.

2. Pattern Layer (Sovereign IP): All underlying methodological frameworks—including but not limited to the Signal Desynchronization Model, the ECAR-0 operational definition, and the structure of the falsifiable prediction matrix—are asserted as sovereign intellectual property under emerging Pattern Rights principles. These patterns are not covered by the CC BY license.

3. Defense Layer (Controlled): Any application, derivation, or implementation of this work with potential national security or defense implications is subject to the DFARS 252.227-7013 "Rights in Technical Data—Noncommercial Items" clause and related U.S. export control regulations (EAR/ITAR). Commercial or defense-related inquiries must be directed to the corresponding author with appropriate disclosures.
DOI: 10.15156/bio/sh0206603.10fu
title: SH0206603.10FU

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/sh0206604.10fu
title: SH0206604.10FU

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.18203438
title: Aging as Signal Desynchronization: A Falsifiable Framework Centered on ECAR-0

description: Current aging paradigms focus primarily on the accumulation of molecular and cellular damage. We propose an alternative, falsifiable framework: aging as a progressive desynchronization from organism-level timing signals, culminating in a quantifiable metabolic state we term ECAR-0. This state is defined by a high basal extracellular acidification rate (ECAR, indicating glycolytic flux) with a blunted oxygen consumption rate (OCR, indicating mitochondrial respiration) response to circadian hormonal cues (e.g., melatonin). We hypothesize that ECAR-0 represents cellular "deafness" to systemic timing information, leading to a failure of tissue-level coordination that precedes and drives phenotypic decline. This framework generates five specific, falsifiable predictions that directly contradict expectations from pure damage-accumulation models. We provide explicit experimental protocols to decisively test between desynchronization and damage-centric paradigms.

IP Framework & Rights Assertion:

1. Text Layer (Open Access): This manuscript is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.

2. Pattern Layer (Sovereign IP): All underlying methodological frameworks—including but not limited to the Signal Desynchronization Model, the ECAR-0 operational definition, and the structure of the falsifiable prediction matrix—are asserted as sovereign intellectual property under emerging Pattern Rights principles. These patterns are not covered by the CC BY license.

3. Defense Layer (Controlled): Any application, derivation, or implementation of this work with potential national security or defense implications is subject to the DFARS 252.227-7013 "Rights in Technical Data—Noncommercial Items" clause and related U.S. export control regulations (EAR/ITAR). Commercial or defense-related inquiries must be directed to the corresponding author with appropriate disclosures.
DOI: 10.15156/bio/sh0206605.10fu
title: SH0206605.10FU

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/sh0206606.10fu
title: SH0206606.10FU

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/sh0206607.10fu
title: SH0206607.10FU

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/sh0206608.10fu
title: SH0206608.10FU

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/sh0206609.10fu
title: SH0206609.10FU

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.