cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0078405.10fu
title: SH0078405.10FU

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: 10.13145/bacdive10354.20251217.10
title: Nannocystis exedens subsp. aggregans Reichenbach 2005

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0078406.10fu
title: SH0078406.10FU

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: 10.13145/bacdive10355.20241212.9.2
title: Nannocystis exedens subsp. aggregans Reichenbach 2005

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive10355.20251217.10
title: Nannocystis exedens subsp. aggregans Reichenbach 2005

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0078407.10fu
title: SH0078407.10FU

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/sh0078408.10fu
title: SH0078408.10FU

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: 10.13145/bacdive10356.20241212.9.2
title: Nannocystis exedens subsp. aggregans Reichenbach 2005

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive10356.20251217.10
title: Nannocystis exedens subsp. aggregans Reichenbach 2005

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0078409.10fu
title: SH0078409.10FU

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: 10.13145/bacdive10357.20241212.9.2
title: Nannocystis exedens subsp. aggregans Reichenbach 2005

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive10357.20251217.10
title: Nannocystis exedens subsp. aggregans Reichenbach 2005

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0078410.10fu
title: SH0078410.10FU

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.15241056
title: Proof of Originality Protocol for Alaali Cash Flow Volatility Index Operational Model (A-CFVI-Ops)

description: Authorship and Originality Statement: The Alaali Cash Flow Volatility Index Operational Model (A-CFVI-Ops) has been independently conceptualized, designed, developed, and validated solely by Hasan Alaali. This document explicitly asserts Hasan Alaali's original intellectual contribution and establishes formal authorship.

Development Timeline:



Conceptual Development: Initial theoretical and empirical conceptualization completed between 2022 and 2025.

Analytical and Methodological Refinement: Detailed analytical validation, including Monte Carlo Simulation (MCS) and Distress Flag validation, conducted and documented in 2025.


Validation Evidence:



Monte Carlo Simulation (MCS) validation clearly documented and timestamped at Zenodo (DOI: 10.5281/zenodo.15238845).

Distress Flag validation documented and timestamped at Zenodo (DOI: 10.5281/zenodo.15238867).


Disclaimer and Intellectual Property Statement: This Proof of Originality Protocol serves as formal documentation explicitly affirming the authorship, originality, and intellectual property rights of Hasan Alaali concerning the Alaali Cash Flow Volatility Index Operational Model (A-CFVI-Ops). Unauthorized use, reproduction, or adaptation of this model without explicit written consent from Hasan Alaali is strictly prohibited.
DOI: 10.5281/zenodo.15241057
title: Proof of Originality Protocol for Alaali Cash Flow Volatility Index Operational Model (A-CFVI-Ops)

description: Authorship and Originality Statement: The Alaali Cash Flow Volatility Index Operational Model (A-CFVI-Ops) has been independently conceptualized, designed, developed, and validated solely by Hasan Alaali. This document explicitly asserts Hasan Alaali's original intellectual contribution and establishes formal authorship.

Development Timeline:



Conceptual Development: Initial theoretical and empirical conceptualization completed between 2022 and 2025.

Analytical and Methodological Refinement: Detailed analytical validation, including Monte Carlo Simulation (MCS) and Distress Flag validation, conducted and documented in 2025.


Validation Evidence:



Monte Carlo Simulation (MCS) validation clearly documented and timestamped at Zenodo (DOI: 10.5281/zenodo.15238845).

Distress Flag validation documented and timestamped at Zenodo (DOI: 10.5281/zenodo.15238867).


Disclaimer and Intellectual Property Statement: This Proof of Originality Protocol serves as formal documentation explicitly affirming the authorship, originality, and intellectual property rights of Hasan Alaali concerning the Alaali Cash Flow Volatility Index Operational Model (A-CFVI-Ops). Unauthorized use, reproduction, or adaptation of this model without explicit written consent from Hasan Alaali is strictly prohibited.
DOI: 10.15468/dl.exggvm
title: Occurrence Download

description: A dataset containing 217561 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crepis capillaris (L.) Wallr."
 ]
}

 The dataset includes 217561 records from 592 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0111896-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9nrlg7
title: Occurrence Download

description: A dataset containing 368 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carex aperta Boott"
 ]
}

 The dataset includes 368 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000930-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.395f3j
title: Occurrence Download

description: A dataset containing 7878 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aristolochia paucinervis Pomel",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7878 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072320-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mbvfqc
title: Occurrence Download

description: A dataset containing 767 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neolamprologus brichardi (Poll, 1974)"
 ]
}

 The dataset includes 767 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0128807-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fema1a
title: Occurrence Download

description: A dataset containing 1969 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "Year 1950-2019",
 "TaxonKey is Anthoxanthum odoratum L."
 ]
}

 The dataset includes 1969 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007370-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mujg2z
title: Occurrence Download

description: A dataset containing 113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aristolochia cretica Lam.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 113 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072312-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yvrw8x
title: Occurrence Download

description: A dataset containing 321 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bartsia laticrenata Benth."
 ]
}

 The dataset includes 321 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0128811-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7hzqel
title: Occurrence Download

description: A dataset containing 1426 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Adenium Roem. & Schult."
 ]
}

 The dataset includes 1426 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020287-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zwnf9d
title: Occurrence Download

description: A dataset containing 1371 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 10.4740170956986",
 "DecimalLongitude is less than 10.477076648883",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 1371 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010326-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6uj22f
title: Occurrence Download

description: A dataset containing 114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Macro-moth distribution records for the UK from Butterfly Conservation, up to 2019",
 "TaxonKey is Eupithecia denotata (Hübner)"
 ]
}

 The dataset includes 114 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0131503-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y4vb9w
title: Occurrence Download

description: A dataset containing 34666 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hyla arborea (Linnaeus, 1758)"
 ]
}

 The dataset includes 34666 records from 224 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020280-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f4t8p5
title: Occurrence Download

description: A dataset containing 11072 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((121.61304 25.04929, 121.61085 25.0495, 121.60583 25.04833, 121.60672 25.04555, 121.60627 25.04138, 121.60915 25.03876, 121.61668 25.03708, 121.61675 25.03795, 121.61759 25.03972, 121.61724 25.04091, 121.61682 25.04208, 121.61624 25.04317, 121.61507 25.04574, 121.61554 25.0474, 121.61563 25.0488, 121.61304 25.04929))",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is not null"
 ]
 }
 ]
}

 The dataset includes 11072 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072347-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nv93k3
title: Occurrence Download

description: A dataset containing 512 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Kalcapion semivittatum (Gyllenhal, 1833))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 512 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043103-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.knc7a4
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pitho mirabilis (Herbst, 1794)"
 ]
}

 The dataset includes 83 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092901-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.1tvmxr
title: Occurrence Download

description: A dataset containing 142 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amphisbaena vermicularis Wagler, 1824"
 ]
}

 The dataset includes 142 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020277-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pv3eux
title: Occurrence Download

description: A dataset containing 1095 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aristolochia pallida Willd.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1095 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072316-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gxh3bc
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Andaspis numerata Brimblecombe, 1959)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043104-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wt62tx
title: Occurrence Download

description: A dataset containing 672 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Orgyia pseudotsugata McDunnough, 1921"
 ]
}

 The dataset includes 672 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0125607-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rzfau8
title: Occurrence Download

description: A dataset containing 18743 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salvelinus fontinalis (Mitchill, 1814)"
 ]
}

 The dataset includes 18743 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020286-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11366484
title: Weather-related Disease Prediction Dataset

description: This dataset integrates medical symptoms and weather conditions to facilitate research into the prediction of diseases influenced by meteorological factors. The data spans a range of weather parameters alongside reported medical symptoms from a sizable number of anonymized individuals.

 

Variables:

Age: Age of the patient.

Gender: Gender of the patient (encoded numerically).

Temperature (C): Daily average temperature in Celsius.

Humidity: Daily average humidity percentage.

Wind Speed (km/h): Daily average wind speed in kilometers per hour.

Symptoms: Various symptoms such as nausea, joint pain, abdominal pain, high fever, chills, fatigue, runny nose, pain behind the eyes, etc., encoded as binary values (1 for present, 0 for absent).

Pre-existing Conditions: Conditions like asthma history, high cholesterol, diabetes, obesity, HIV/AIDS, nasal polyps, high blood pressure, encoded as binary values.

Data Collection Method:

The data was collected from anonymous medical records and corresponding local weather stations. All personal identifiers have been removed to ensure patient confidentiality and data privacy, adhering to ethical standards for medical data handling.

Usage Notes:

This dataset is intended for use in academic and research settings, especially in studies focused on the impact of weather on human health. It could be particularly useful for developing machine learning models to predict the likelihood of disease outbreaks based on weather patterns.