cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.6x5p6j
title: Occurrence Download

description: A dataset containing 8257 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "TaxonKey is Eretmochelys imbricata (Linnaeus, 1766)",
 "Year 1900-2025"
 ]
}

 The dataset includes 8257 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012611-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15038931
title: The Dark Field: A New Gravitational Model for Galaxy Rotation and Cosmic Expansion

description: We propose a novel cosmological model called the “Dark Field” to explain galaxy rotation and cosmic expansion without invoking dark matter particles or dark energy. The theory was independently conceptualized by Nurbol Sultanov with computational support from an AI assistant.
DOI: 10.5281/zenodo.15038930
title: The Dark Field: A New Gravitational Model for Galaxy Rotation and Cosmic Expansion

description: We propose a novel cosmological model called the “Dark Field” to explain galaxy rotation and cosmic expansion without invoking dark matter particles or dark energy. The theory was independently conceptualized by Nurbol Sultanov with computational support from an AI assistant.
DOI: 10.5281/zenodo.15039202
title: The Dark Field: A New Gravitational Model for Galaxy Rotation and Cosmic Expansion

description: We propose a novel cosmological model called the “Dark Field” to explain galaxy rotation and cosmic expansion without invoking dark matter particles or dark energy. The theory was independently conceptualized by Nurbol Sultanov with computational support from an AI assistant.
DOI: 10.15468/dl.6zrjjg
title: Occurrence Download

description: A dataset containing 88343 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Gypaetus barbatus (Linnaeus, 1758)"
 ]
}

 The dataset includes 88343 records from 312 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012520-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gskbdk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dendroctonus murrayanae Hopkins, 1909)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012614-250310093411724/datasets/export for details.
DOI: 10.15468/dl.mt85vj
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Algyroides moreoticus Bibron & Bory, 1833",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 30 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012612-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v4ntyn
title: Occurrence Download

description: A dataset containing 155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Adelges piceae (Ratzeburg, 1844))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 155 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012615-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jnj48d
title: Occurrence Download

description: A dataset containing 16035 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aedes japonicus (Theobald, 1901))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16035 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012613-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11061452
title: Public Opinion on Climate Change (Updated Daily)
DOI: 10.17028/rd.lboro.28607510
title: Supplementary information files for "Effectiveness of behaviour change interventions to reduce the risk of faecal contamination in urban irrigated vegetable value chains – applying the COM-B behavioural framework"

description: Supplementary files for article "Effectiveness of behaviour change interventions to reduce the risk of faecal contamination in urban irrigated vegetable value chains – applying the COM-B behavioural framework"<br>In low- and middle-income countries, inadequate sanitation results in faecal contamination of the water used by urban farmers for irrigation. Consumers of raw contaminated vegetables run the risk of developing diarrhoeal diseases and helminth infections, which are a leading cause of under-five mortality and impact the well-being and productivity of millions of adults. This review identifies the evidence base for assessing which factors determine the success and/or failure of interventions that aim to manage the risk of faecal contamination in the urban irrigated vegetable value chain. We carried out a systematic search of the literature from the perspective of the COM-B behaviour framework (Capability + Opportunity + Motivation = Behaviour). Our results reveal that most interventions address stakeholders’ opportunity or capability to adopt safe practices without adequately considering their motivation. Interventions often focus on one sector rather than on the whole value chain (sanitation, agriculture, trade, consumption). To effectively change hygiene and food safety practices in the urban irrigated vegetable value chain, stakeholders’ intrinsic motivations need to be identified. Where WHO's multi-barrier approach is the best option, we recommend building on local multistakeholder platforms and adopting a behaviour change framework to support the largely technical change from farm to fork.<br>©The Author(s) CC BY 4.0
DOI: 10.17028/rd.lboro.28607510.v1
title: Supplementary information files for "Effectiveness of behaviour change interventions to reduce the risk of faecal contamination in urban irrigated vegetable value chains – applying the COM-B behavioural framework"

description: Supplementary files for article "Effectiveness of behaviour change interventions to reduce the risk of faecal contamination in urban irrigated vegetable value chains – applying the COM-B behavioural framework"<br>In low- and middle-income countries, inadequate sanitation results in faecal contamination of the water used by urban farmers for irrigation. Consumers of raw contaminated vegetables run the risk of developing diarrhoeal diseases and helminth infections, which are a leading cause of under-five mortality and impact the well-being and productivity of millions of adults. This review identifies the evidence base for assessing which factors determine the success and/or failure of interventions that aim to manage the risk of faecal contamination in the urban irrigated vegetable value chain. We carried out a systematic search of the literature from the perspective of the COM-B behaviour framework (Capability + Opportunity + Motivation = Behaviour). Our results reveal that most interventions address stakeholders’ opportunity or capability to adopt safe practices without adequately considering their motivation. Interventions often focus on one sector rather than on the whole value chain (sanitation, agriculture, trade, consumption). To effectively change hygiene and food safety practices in the urban irrigated vegetable value chain, stakeholders’ intrinsic motivations need to be identified. Where WHO's multi-barrier approach is the best option, we recommend building on local multistakeholder platforms and adopting a behaviour change framework to support the largely technical change from farm to fork.<br>©The Author(s) CC BY 4.0
DOI: 10.15468/dl.h5hrtp
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trimeresurus venustus Vogel, 1991"
 ]
}

 The dataset includes 127 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012616-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qtfrwe
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ophiomorus punctatissimus (Bibron & Bory De St.Vincent, 1833)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012619-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3nbjup
title: Occurrence Download

description: A dataset containing 12851841 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Insecta",
 "SpeciesKey is not null",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 },
 {
 "not" : {
 "License" : [
 "is one of (CC-BY-NC 4.0)"
 ]
 }
 },
 {
 "or" : [
 "Year is less than or equal to 1980",
 "Year is null"
 ]
 }
 ]
}

 The dataset includes 12851841 records from 3273 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012590-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive101944.20251217.10
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive101945.20230509.8.1
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0093983.10fu
title: SH0093983.10FU

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/bacdive101945.20251217.10
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0093984.10fu
title: SH0093984.10FU

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/bacdive101946.20230509.8.1
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0093985.10fu
title: SH0093985.10FU

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: 10.17632/kgpr89c36d
title: Daily Hydrological Time-Series Dataset of Water Level, Upstream–Downstream Flow, and Storage in the Euphrates River at Haditha Dam (1989–2024)

description: This dataset provides long-term daily hydrological observations of the Euphrates River at Haditha Dam, covering a continuous period from 1 June 1989 to 30 September 2024. It contains daily measurements of river water level, upstream and downstream water heights, and estimated water volume, recorded at a single representative monitoring location associated with the Haditha Dam system. The dataset was compiled from raw hydrological records and subsequently cleaned, quality-checked, and standardized to ensure consistency and reliability. Duplicate timestamps were removed, missing values were preserved as NaNs without interpolation, and all numerical variables were formatted into a uniform structure suitable for time-series analysis. A standardized date field is included to support direct integration with statistical, hydrological, and machine-learning workflows.
DOI: 10.13145/bacdive101946.20251217.10
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive101947.20230509.8.1
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0093986.10fu
title: SH0093986.10FU

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/sh0093987.10fu
title: SH0093987.10FU

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/bacdive101947.20251217.10
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive101948.20230509.8.1
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0093988.10fu
title: SH0093988.10FU

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: 10.17632/kgpr89c36d.1
title: Daily Hydrological Time-Series Dataset of Water Level, Upstream–Downstream Flow, and Storage in the Euphrates River at Haditha Dam (1989–2024)

description: This dataset provides long-term daily hydrological observations of the Euphrates River at Haditha Dam, covering a continuous period from 1 June 1989 to 30 September 2024. It contains daily measurements of river water level, upstream and downstream water heights, and estimated water volume, recorded at a single representative monitoring location associated with the Haditha Dam system. The dataset was compiled from raw hydrological records and subsequently cleaned, quality-checked, and standardized to ensure consistency and reliability. Duplicate timestamps were removed, missing values were preserved as NaNs without interpolation, and all numerical variables were formatted into a uniform structure suitable for time-series analysis. A standardized date field is included to support direct integration with statistical, hydrological, and machine-learning workflows.
DOI: 10.13145/bacdive101948.20251217.10
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive101949.20230509.8.1
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0093989.10fu
title: SH0093989.10FU

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/bacdive101949.20251217.10
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.