cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0209120.10fu
title: SH0209120.10FU

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/sh0209121.10fu
title: SH0209121.10FU

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/sh0209122.10fu
title: SH0209122.10FU

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/sh0209123.10fu
title: SH0209123.10FU

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/sh0209124.10fu
title: SH0209124.10FU

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/sh0209125.10fu
title: SH0209125.10FU

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/sh0209126.10fu
title: SH0209126.10FU

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.etu2xk
title: Occurrence Download

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

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051875-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rqnx52
title: Occurrence Download

description: A dataset containing 289 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gnetopsida)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((0 0,30 0,30 30,0 30,0 0))"
 ]
}

 The dataset includes 289 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051873-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h9nwq7
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opuntia scheeri",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051874-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xny2cr
title: Occurrence Download

description: A dataset containing 5130 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bruguiera gymnorhiza)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5130 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051876-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17274321
title: Neuro-Quantum Synaptic Array: A Paradigm-Shifting Multi-Disciplinary Framework for Thousand-Fold Enhanced Electronic Chips

description: This manuscript, authored by independent Yemeni researcher Sami Rashid Mohammed Shibah, presents a revolutionary vision for a new era in hybrid computing, where the biological world of the brain merges with quantum physics in a way that transcends the traditional boundaries of electronic processors. At the heart of this innovation lies the Neuro-Quantum Synaptic Array (NQSA), a hybrid electronic chip design that embodies synaptic plasticity principles inspired by biological neural networks, integrated with superconducting quantum circuits and optimized through AI-driven reinforcement learning (PPO). This multi-disciplinary synthesis encompassing neuroscience, quantum physics, materials engineering, computational mathematics, and nanofabrication achieves a thousand-fold improvement in computational efficiency over conventional silicon processors, while maintaining room-temperature quantum entanglement via magneto-ionic coupling mechanisms. The manuscript begins by reviewing current challenges in semiconductor technologies, such as scaling barriers in silicon, and surveys recent literature on quantum processors like IBM's Condor and Google's Willow, emphasizing decoherence issues. It then delves into theoretical foundations, drawn from quantum biology such as superradiance effects in tryptophan networks to formulate a composite Hamiltonian combining Hebbian synaptic weights, transmon dynamics, and magnetic interactions. The model is analyzed via the Lindblad master equation for open-system dynamics, incorporating advanced quantum error correction (QEC) using surface codes and qLDPC, which reduce error rates below 10^{-6} and extend coherence times beyond 2 milliseconds. Through advanced simulations using QuTiP and PyTorch, the results demonstrate fidelity improvements up to 98.8% in initial moments, with scaled efficiency η ≈ 4.39 × 10² (extrapolated to 10^{18} operations per joule), and a 20% enhancement in coherence time via PPO tuning of the coupling parameter λ. A multi-phase experimental protocol is proposed for validation, including CMOS-compatible fabrication, cryogenic coherence testing, and bio-integration with iPSC cells, alongside manufacturability analysis (750 million USD for 300 mm wafers) and a roadmap scaling to millions of qubits by 2035. The manuscript highlights transformative applications in exascale AI, neural prosthetics for ALS patients, and quantum medicine such as sub-nanometer precision drug discovery and 95% efficacy personalized therapies within a 697 billion USD semiconductor market. Adhering to ethical considerations, like neural privacy and GDPR compliance, NQSA emerges as a human-centric paradigm reshaping computing to enhance human welfare, supported by full simulation code in the appendix for scientific transparency. This vision is not merely a technological advance but a philosophical leap toward nature-inspired computation, uniting brain and cosmos in a single chip.
DOI: 10.5281/zenodo.17274322
title: Neuro-Quantum Synaptic Array: A Paradigm-Shifting Multi-Disciplinary Framework for Thousand-Fold Enhanced Electronic Chips

description: This manuscript, authored by independent Yemeni researcher Sami Rashid Mohammed Shibah, presents a revolutionary vision for a new era in hybrid computing, where the biological world of the brain merges with quantum physics in a way that transcends the traditional boundaries of electronic processors. At the heart of this innovation lies the Neuro-Quantum Synaptic Array (NQSA), a hybrid electronic chip design that embodies synaptic plasticity principles inspired by biological neural networks, integrated with superconducting quantum circuits and optimized through AI-driven reinforcement learning (PPO). This multi-disciplinary synthesis encompassing neuroscience, quantum physics, materials engineering, computational mathematics, and nanofabrication achieves a thousand-fold improvement in computational efficiency over conventional silicon processors, while maintaining room-temperature quantum entanglement via magneto-ionic coupling mechanisms. The manuscript begins by reviewing current challenges in semiconductor technologies, such as scaling barriers in silicon, and surveys recent literature on quantum processors like IBM's Condor and Google's Willow, emphasizing decoherence issues. It then delves into theoretical foundations, drawn from quantum biology such as superradiance effects in tryptophan networks to formulate a composite Hamiltonian combining Hebbian synaptic weights, transmon dynamics, and magnetic interactions. The model is analyzed via the Lindblad master equation for open-system dynamics, incorporating advanced quantum error correction (QEC) using surface codes and qLDPC, which reduce error rates below 10^{-6} and extend coherence times beyond 2 milliseconds. Through advanced simulations using QuTiP and PyTorch, the results demonstrate fidelity improvements up to 98.8% in initial moments, with scaled efficiency η ≈ 4.39 × 10² (extrapolated to 10^{18} operations per joule), and a 20% enhancement in coherence time via PPO tuning of the coupling parameter λ. A multi-phase experimental protocol is proposed for validation, including CMOS-compatible fabrication, cryogenic coherence testing, and bio-integration with iPSC cells, alongside manufacturability analysis (750 million USD for 300 mm wafers) and a roadmap scaling to millions of qubits by 2035. The manuscript highlights transformative applications in exascale AI, neural prosthetics for ALS patients, and quantum medicine such as sub-nanometer precision drug discovery and 95% efficacy personalized therapies within a 697 billion USD semiconductor market. Adhering to ethical considerations, like neural privacy and GDPR compliance, NQSA emerges as a human-centric paradigm reshaping computing to enhance human welfare, supported by full simulation code in the appendix for scientific transparency. This vision is not merely a technological advance but a philosophical leap toward nature-inspired computation, uniting brain and cosmos in a single chip.
DOI: 10.15468/dl.zpwneg
title: Occurrence Download

description: A dataset containing 21577 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pinopsida)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((60 30,90 30,90 60,60 60,60 30))"
 ]
}

 The dataset includes 21577 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051878-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zybtr9
title: Occurrence Download

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

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051881-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7vuqnq
title: Occurrence Download

description: A dataset containing 12857 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Flora Atlas N.T.",
 "Month is December",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 12857 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051879-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/cd5z-rt82-pt0s
title: CPPA: SGP Surface Meteorology and Radiation Data Set. Version 1.0

description: This data set contains the Coordinated Energy and Water Cycle Observation Project (CEOP) Southern Great Plains (SGP) 30 Minute Surface Meteorology and Radiation Data Set. This data set contains data from 23 Extended Facility sites at the SGP reference site. This data set covers the period 10 October 2002 through 31 December 2009. This data set contains both ASCII data and netCDF data. The ASCII data file covers the entire time period for all stations. The netCDF data file covers the entire time period with one netCDF file for each station.
DOI: 10.15468/dl.9j7fnv
title: Occurrence Download

description: A dataset containing 8983 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lycopodiopsida)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((120 -60,150 -60,150 -30,120 -30,120 -60))"
 ]
}

 The dataset includes 8983 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051880-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qhg35a
title: Occurrence Download

description: A dataset containing 20156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lycopodiopsida)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((150 -60,180 -60,180 -30,150 -30,150 -60))"
 ]
}

 The dataset includes 20156 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051877-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k7nhvt
title: Occurrence Download

description: A dataset containing 87 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aedes aegypti",
 "Year 2000-2025"
 ]
}

 The dataset includes 87 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051882-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ydt4a
title: Occurrence Download

description: A dataset containing 678 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Brunfelsia pauciflora)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 678 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051883-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tzgsef
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Actias truncatipennis"
 ]
}

 The dataset includes 128 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051884-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6w8ch3
title: Occurrence Download

description: A dataset containing 30856 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pinopsida)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((90 30,120 30,120 60,90 60,90 30))"
 ]
}

 The dataset includes 30856 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051885-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wddyb9
title: Occurrence Download

description: A dataset containing 410 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lycopodiopsida)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((90 -60,120 -60,120 -30,90 -30,90 -60))"
 ]
}

 The dataset includes 410 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051886-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27919530
title: HIVQOL Data Bauchi

description: Quality of Life was assessed using the WHO Quality of Life HIV BREF (WHOQOL-HIV BREF), a 31-item instrument designed to measure the quality of life in individuals with HIV infection.
DOI: 10.6084/m9.figshare.27919530.v1
title: HIVQOL Data Bauchi

description: Quality of Life was assessed using the WHO Quality of Life HIV BREF (WHOQOL-HIV BREF), a 31-item instrument designed to measure the quality of life in individuals with HIV infection.