cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/2xvmx37nwt.1
title: Enhancing the Competitiveness of the Belt and Road Initiative

description: • H1: Commodity-specific competitiveness sensitivity
The application of the Analytic Hierarchy Process (AHP) for constructing a composite com-petitiveness index of BRI corridors allows for methodological flexibility in determining indicator weights, which should vary depending on the type of traded commodity under analysis. 
The competitiveness of the BRI can be more accurately assessed by allowing the weight co-efficients of evaluation criteria within the AHP model to vary depending on the type of product or commodity analyzed (e.g., high-tech goods, bulk commodities, perishables).
• H2: Validity of internationally standardized data sources
The use of internationally recognized data sources—such as the World Bank logistics per-formance indicators, DHL Global Connectedness Index, and UNCTAD maritime connectivity statis-tics—provides a reliable and consistent basis for quantifying competitiveness indicators within the AHP-based model framework.
These hypotheses guide both the model architecture and the data sourcing protocols em-ployed in this study.
The use of standardized, externally verified quantitative indicators—such as those provided by the World Bank Logistics Performance Index, DHL Global Connectedness Index, UNCTAD, and OECD—is a valid and reliable approach for assigning values to the evaluation parameters within the AHP model.
DOI: 10.17632/gng6w5ntxr
title: Nursing PhD Matrix 2025

description: Este documento consiste en una matriz donde se consolida información de 59 programas de doctorado en enfermería en Latinoamérica, la cual es fundamental para realizar análisis comparativo entre estos.
DOI: 10.17632/gng6w5ntxr.1
title: Nursing PhD Matrix 2025

description: Este documento consiste en una matriz donde se consolida información de 59 programas de doctorado en enfermería en Latinoamérica, la cual es fundamental para realizar análisis comparativo entre estos.
DOI: 10.15468/dl.g4r9zt
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nassella trichotoma",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 50 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013473-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v4ee4x
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nassella trichotoma",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013474-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sem69t
title: Occurrence Download

description: A dataset containing 324 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Norway",
 "DatasetKey is Norwegian Species Observation Service",
 "OccurrenceStatus is Present",
 "TaxonKey is Salmo salar"
 ]
}

 The dataset includes 324 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013475-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nc2ay3
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Peckoltia lineola)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013476-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kuk5xp
title: Occurrence Download

description: A dataset containing 3083 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is SRB",
 "TaxonKey is Merops apiaster"
 ]
}

 The dataset includes 3083 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013477-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uz4twk
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Auriglobus nefastus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013478-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fs64he
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Persicaria bungeana"
 ]
}

 The dataset includes 70 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013479-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/dkbk12
title: CAST model experiments

description: Set of original experiments with the CAST (Control Assisted Simulation Technique) model approach. This dataset includes three experiments, organized into subfolders: (i) stirred tank, (ii) Lotka-Volterra, (iii) agent based model of epidemics.
DOI: 10.15468/dl.uzqqfj
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Norway",
 "DatasetKey is Norwegian Species Observation Service",
 "OccurrenceStatus is Present",
 "TaxonKey is Thunnus thynnus"
 ]
}

 The dataset includes 21 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013480-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j2y3zt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lamprologus finalimus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013482-250827131500795/datasets/export for details.
DOI: 10.34740/kaggle/dsv/12922528
title: AISSLab Breast Cancer Sub-datasets
DOI: 10.5281/zenodo.15253095
title: Swirled images of CFD simulations with different rotation angles

description: This dataset contains high-resolution CFD simulation images of airflow patterns in naturally ventilated barns. Each image shows 2D cross-sections of flow fields, such as velocity distributions, under various environmental and structural conditions. Swirl transformations were applied around salient flow regions at 30° rotation steps, from 0° to 360°, to introduce controlled rotational distortions. All images are formatted as 8-bit grayscale PNGs (1380×1800 px). This dataset is used to evaluate image similarity metrics and train machine learning models for predicting airflow perturbations. For more details, please see the relevant article: "Assessing Airflow Perturbations in Naturally Ventilated Barns" (2025).

Images for the case study based on real-world sensor measurements are also included in this repository (see the respective README).
DOI: 10.5281/zenodo.17012065
title: Swirled images of CFD simulations with different rotation angles

description: This dataset contains high-resolution CFD simulation images of airflow patterns in naturally ventilated barns. Each image shows 2D cross-sections of flow fields, such as velocity distributions, under various environmental and structural conditions. Swirl transformations were applied around salient flow regions at 30° rotation steps, from 0° to 360°, to introduce controlled rotational distortions. All images are formatted as 8-bit grayscale PNGs (1380×1800 px). This dataset is used to evaluate image similarity metrics and train machine learning models for predicting airflow perturbations. For more details, please see the relevant article: "Assessing Airflow Perturbations in Naturally Ventilated Barns" (2025).

Images for the case study based on real-world sensor measurements are also included in this repository (see the respective README).
DOI: 10.5281/zenodo.16996058
title: Dataset for: Head(er)s Up! Detecting Security Header Inconsistencies in Browsers

description: This contains the database dump (Postgres 17) for the data collected for the ACM CCS 2025 paper: "Head(er)s Up! Detecting Security Header Inconsistencies in Browsers".For usage instructions see the corresponding software: https://doi.org/10.5281/zenodo.16890358
DOI: 10.5281/zenodo.16996059
title: Dataset for: Head(er)s Up! Detecting Security Header Inconsistencies in Browsers

description: This contains the database dump (Postgres 17) for the data collected for the ACM CCS 2025 paper: "Head(er)s Up! Detecting Security Header Inconsistencies in Browsers".For usage instructions see the corresponding software: https://doi.org/10.5281/zenodo.16890358
DOI: 10.57992/nmrxiv.p43
title: Mit der Eberesche vom Heimatlied zur Frühstücksmagarine (NMRShiftDB datasets)

description: DOI: 10.18716/nmrshiftdb2/20036579

NMRSHIFTDB_ID: 20036579

DOI: 10.18716/nmrshiftdb2/60002035

NMRSHIFTDB_ID: 60002035

DOI: 10.18716/nmrshiftdb2/60002034

NMRSHIFTDB_ID: 60002034
DOI: 10.57992/nmrxiv.p43.s1296
title: Sorbic acid

description: This dataset contains NMR spectra obtained for the sample containing Sorbic acid
DOI: 10.57992/nmrxiv.p43.s1296.d5648
title: Sorbic acid[1]

description: 1
DOI: 10.57992/nmrxiv.p43.s1296.d5649
title: Sorbic acid[2]

description: 2
DOI: 10.57992/nmrxiv.p43.s1296.d5650
title: Sorbic acid[3]

description: 3
DOI: 10.57992/nmrxiv.p43.s1296.d5651
title: Sorbic acid[4]

description: 4
DOI: 10.57992/nmrxiv.p43.s1296.d5652
title: Sorbic acid[5]

description: 5
DOI: 10.57992/nmrxiv.p43.s1296.d5653
title: Sorbic acid[6]

description: 6
DOI: 10.57992/nmrxiv.p43.s1297
title: Parasorboside

description: This dataset contains NMR spectra obtained for the sample containing Parasorboside
DOI: 10.57992/nmrxiv.p43.s1297.d5654
title: Parasorboside[1]

description: 1
DOI: 10.57992/nmrxiv.p43.s1297.d5655
title: Parasorboside[2]

description: 2
DOI: 10.57992/nmrxiv.p43.s1297.d5656
title: Parasorboside[3]

description: 3
DOI: 10.57992/nmrxiv.p43.s1297.d5657
title: Parasorboside[4]

description: 4
DOI: 10.57992/nmrxiv.p43.s1297.d5658
title: Parasorboside[5]

description: 5
DOI: 10.57992/nmrxiv.p43.s1297.d5659
title: Parasorboside[6]

description: 6
DOI: 10.57992/nmrxiv.p43.s1298
title: Parasorbic acid

description: This dataset contains NMR spectra obtained for the sample containing Parasorbic acid
DOI: 10.57992/nmrxiv.p43.s1298.d5660
title: Parasorbic acid[1]

description: 1
DOI: 10.57992/nmrxiv.p43.s1298.d5661
title: Parasorbic acid[2]

description: 2
DOI: 10.57992/nmrxiv.p43.s1298.d5662
title: Parasorbic acid[3]

description: 3
DOI: 10.57992/nmrxiv.p43.s1298.d5663
title: Parasorbic acid[4]

description: 4
DOI: 10.57992/nmrxiv.p43.s1298.d5664
title: Parasorbic acid[5]

description: 5
DOI: 10.57992/nmrxiv.p43.s1298.d5665
title: Parasorbic acid[6]

description: 6
DOI: 10.15468/dl.s3aggv
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Apistogramma panduro)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013485-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z2rsm8
title: Occurrence Download

description: A dataset containing 77825 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nassella trichotoma",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 77825 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013467-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.4jc1mcv7
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (129 records)
DOI: 10.15468/dl.hycvk3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aphyosemion edeanum)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013487-250827131500795/datasets/export for details.
DOI: 10.6084/m9.figshare.30019072
title: Effect of sediment depth on community assembly processes and species coexistence patterns of prokaryotes in methane seepage regions

description: Effect of sediment depth on community assembly processes and species coexistence patterns of prokaryotes in methane seepage regions.
DOI: 10.6084/m9.figshare.30019072.v1
title: Effect of sediment depth on community assembly processes and species coexistence patterns of prokaryotes in methane seepage regions

description: Effect of sediment depth on community assembly processes and species coexistence patterns of prokaryotes in methane seepage regions.
DOI: 10.15468/dl.gb763x
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oryza sativa",
 "Country is Belize",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013490-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6snb4j
title: Occurrence Download

description: A dataset containing 320 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oryza sativa",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 320 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013489-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h8bwwg
title: Occurrence Download

description: A dataset containing 2301 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oryza sativa",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2301 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013491-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3t7wcc
title: Occurrence Download

description: A dataset containing 392987 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74 5, -73 5, -73 6, -74 6, -74 5))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 392987 records from 496 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013455-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh395326.07fu
title: SH395326.07FU

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/sh1761375.08fu
title: SH1761375.08FU

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/sh1761376.08fu
title: SH1761376.08FU

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/sh1761377.08fu
title: SH1761377.08FU

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/sh395327.07fu
title: SH395327.07FU

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/sh395328.07fu
title: SH395328.07FU

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.