cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14272/wpniuoahfurjmv-uhfffaoysa-n/chmo0001146
title: 1H--13C heteronuclear single quantum coherence (1H-13C HSQC) ()
title: InChI=1S/C20H18F2NP/c1-23(2)19-5-3-4-6-20(19)24(17-11-7-15(21)8-12-17)18-13-9-16(22)10-14-18/h3-14H,1-2H3

description: dataset for 1H--13C heteronuclear single quantum coherence (1H-13C HSQC)
DOI: 10.15468/dl.f73kvm
title: Occurrence Download

description: A dataset containing 34640749 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is South Africa"
 ]
}

 The dataset includes 34640749 records from 204 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013025-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14272/durjdcpegcensx-uhfffaoysa-n/chmo0000480
title: electron ionisation mass spectrometry (EI-MS) (diphenyl-(2-pyrrolidin-1-ylphenyl)phosphane)
title: InChI=1S/C22H22NP/c1-3-11-19(12-4-1)24(20-13-5-2-6-14-20)22-16-8-7-15-21(22)23-17-9-10-18-23/h1-8,11-16H,9-10,17-18H2

description: dataset for electron ionisation mass spectrometry (EI-MS)
DOI: 10.14272/durjdcpegcensx-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (diphenyl-(2-pyrrolidin-1-ylphenyl)phosphane)
title: InChI=1S/C22H22NP/c1-3-11-19(12-4-1)24(20-13-5-2-6-14-20)22-16-8-7-15-21(22)23-17-9-10-18-23/h1-8,11-16H,9-10,17-18H2

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR)
DOI: 10.14272/durjdcpegcensx-uhfffaoysa-n/chmo0001146
title: 1H--13C heteronuclear single quantum coherence (1H-13C HSQC) (diphenyl-(2-pyrrolidin-1-ylphenyl)phosphane)
title: InChI=1S/C22H22NP/c1-3-11-19(12-4-1)24(20-13-5-2-6-14-20)22-16-8-7-15-21(22)23-17-9-10-18-23/h1-8,11-16H,9-10,17-18H2

description: dataset for 1H--13C heteronuclear single quantum coherence (1H-13C HSQC)
DOI: 10.14272/durjdcpegcensx-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (diphenyl-(2-pyrrolidin-1-ylphenyl)phosphane)
title: InChI=1S/C22H22NP/c1-3-11-19(12-4-1)24(20-13-5-2-6-14-20)22-16-8-7-15-21(22)23-17-9-10-18-23/h1-8,11-16H,9-10,17-18H2

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
DOI: 10.14272/durjdcpegcensx-uhfffaoysa-n/chmo0000889
title: proton-decoupled 31P nuclear magnetic resonance spectroscopy (31P{1H}-NMR) (diphenyl-(2-pyrrolidin-1-ylphenyl)phosphane)
title: InChI=1S/C22H22NP/c1-3-11-19(12-4-1)24(20-13-5-2-6-14-20)22-16-8-7-15-21(22)23-17-9-10-18-23/h1-8,11-16H,9-10,17-18H2

description: dataset for proton-decoupled 31P nuclear magnetic resonance spectroscopy (31P{1H}-NMR)
DOI: 10.14272/durjdcpegcensx-uhfffaoysa-n.1
title: diphenyl-(2-pyrrolidin-1-ylphenyl)phosphane
title: InChI=1S/C22H22NP/c1-3-11-19(12-4-1)24(20-13-5-2-6-14-20)22-16-8-7-15-21(22)23-17-9-10-18-23/h1-8,11-16H,9-10,17-18H2

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367].
 The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]:
 InChI descriptor[cheminf_000113]: InChI=1S/C22H22NP/c1-3-11-19(12-4-1)24(20-13-5-2-6-14-20)22-16-8-7-15-21(22)23-17-9-10-18-23/h1-8,11-16H,9-10,17-18H2, and canonical SMILES descriptor[cheminf_000007]: c1ccc(cc1)P(c1ccccc1N1CCCC1)c1ccccc1, and by the IUPAC name[cheminf_000107]: diphenyl-(2-pyrrolidin-1-ylphenyl)phosphane.
 
 The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]:
 
 The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-41262

 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]:
 Melting point descriptor[CHEMINF_000256]: 
 Boiling point descriptor[CHEMINF_000257]: 
 Refractive index descriptor[CHEMINF_000253]:

 The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]:
 
 CHMO:0000889 | proton-decoupled 31P nuclear magnetic resonance spectroscopy (31P{1H}-NMR)
 
 CHMO:0001146 | 1H--13C heteronuclear single quantum coherence (1H-13C HSQC)
 
 CHMO:0000595 | 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 CHMO:0000480 | electron ionisation mass spectrometry (EI-MS)
 
 CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 CHMO:0000763 | attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR)
 
 The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: 

 Used ontologies:
 CHEBI - Chemical Entities of Biological Interest
 CHEMINF - chemical information ontology (information entities about chemical entities)
 CHMO - Chemical Methods Ontology
 OBI - Ontology for Biomedical Investigations
DOI: 10.14272/durjdcpegcensx-uhfffaoysa-n/chmo0000763
title: attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) (diphenyl-(2-pyrrolidin-1-ylphenyl)phosphane)
title: InChI=1S/C22H22NP/c1-3-11-19(12-4-1)24(20-13-5-2-6-14-20)22-16-8-7-15-21(22)23-17-9-10-18-23/h1-8,11-16H,9-10,17-18H2

description: dataset for attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR)
DOI: 10.15468/dl.d3ty69
title: Occurrence Download

description: A dataset containing 347 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is South Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is Philantomba monticola (Thunberg, 1789)",
 "Year 1980-2025"
 ]
}

 The dataset includes 347 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013080-250402121839773/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.28639082
title: testung hub 2

description: testing again
DOI: 10.15468/dl.bmeykc
title: Occurrence Download

description: A dataset containing 31941 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Papaver cambricum L."
 ]
}

 The dataset includes 31941 records from 362 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020308-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5wkmbs
title: Occurrence Download

description: A dataset containing 146 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "DatasetKey is Herbario COFC de la Universidad de Córdoba: colección general de plantas vasculares",
 "OccurrenceStatus is Present",
 "TaxonKey is Senecio vulgaris L."
 ]
}

 The dataset includes 146 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020310-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z7ferh
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alopias superciliosus Lowe, 1841",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 28 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020309-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15063560
title: A global land-use data cube 1992-2020 based on the Human Appropriation of Net Primary Production: Dataset 12

description: This dataset is part of the LUIcube, a global dataset on land-use at 30 arcsecond spatial resolution. The LUIcube includes information on area, the change in NPP due to land conversions (HANPPluc), the harvested NPP (including losses, HANPPharv), and the NPP remaining in ecosystems after harvest (NPPeco) for 32 land-use classes in annual time-steps from 1992 to 2020. A detailed description of the LUIcube is available in the accompanying publication.

The layers of land-use areas are provided in square kilometers (km²) per grid cell. All NPP flows are provided in tC/yr per grid cell. Adding HANPPharv to NPPeco results in the actual NPP available before harvest (NPPact=NPPeco+HANPPharv), and adding HANPPluc to NPPact results in the potential NPP available in the hypothetical absence of land use (NPPpot=NPPact+HANPPluc) for the given land-use class. Area-intensive values (in gC/m²/yr) can be calculated by dividing the NPP flows by the area of the respective land-use class per grid cell. HANPP in % of NPPpot can be calculated by summing up HANPPharv and HANPPluc and dividing it by NPPpot. Areas and NPP flows of land-use classes can be aggregated to calculate their overall HANPP.

This Zenodo repository provides data on following land-use classes: total cropland area (CL-total)
DOI: 10.5281/zenodo.15063561
title: A global land-use data cube 1992-2020 based on the Human Appropriation of Net Primary Production: Dataset 12

description: This dataset is part of the LUIcube, a global dataset on land-use at 30 arcsecond spatial resolution. The LUIcube includes information on area, the change in NPP due to land conversions (HANPPluc), the harvested NPP (including losses, HANPPharv), and the NPP remaining in ecosystems after harvest (NPPeco) for 32 land-use classes in annual time-steps from 1992 to 2020. A detailed description of the LUIcube is available in the accompanying publication.

The layers of land-use areas are provided in square kilometers (km²) per grid cell. All NPP flows are provided in tC/yr per grid cell. Adding HANPPharv to NPPeco results in the actual NPP available before harvest (NPPact=NPPeco+HANPPharv), and adding HANPPluc to NPPact results in the potential NPP available in the hypothetical absence of land use (NPPpot=NPPact+HANPPluc) for the given land-use class. Area-intensive values (in gC/m²/yr) can be calculated by dividing the NPP flows by the area of the respective land-use class per grid cell. HANPP in % of NPPpot can be calculated by summing up HANPPharv and HANPPluc and dividing it by NPPpot. Areas and NPP flows of land-use classes can be aggregated to calculate their overall HANPP.

This Zenodo repository provides data on following land-use classes: total cropland area (CL-total)
DOI: 10.23708/o0lw17
title: PAPEHS - Données sur les perceptions et les attitudes des pêcheurs artisans face à l’exploitation des hydrocarbures au Sénégal

description: Ce jeu de données analyse les informations sur la perception et les attitudes des pêcheurs artisans vis-à-vis de l'exploitation des hydrocarbures offshore au Sénégal. Au total, 120 pêcheurs ont été interrogés sur quatre sites de pêche : Saint-Louis, Kayar, Rufisque et Djiffere. Le questionnaire est structuré en six sections : profil des enquêtés, connaissances sur l’exploitation des hydrocarbures, perceptions locales et opinions générales, attitudes et réactions face à l’exploitation pétrolière, actions collectives et engagements. Ces informations visent à étudier l’impact économique, social et environnemental de la mise en exploitation des hydrocarbures sur la pêche artisanale au sein de différentes communautés de pêcheurs et à identifier les amorces d’action.
DOI: 10.15468/dl.4ht6fd
title: Occurrence Download

description: A dataset containing 1569 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carcharhinus falciformis (Müller & Henle, 1839)",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1569 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020312-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zk6ywa
title: Occurrence Download

description: A dataset containing 348269 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Reef Life Survey: Global reef fish dataset"
 ]
}

 The dataset includes 348269 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020304-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3excus
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dichomeris picrocarpa (Meyrick, 1913)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 18 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020313-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gs9r2z
title: Occurrence Download

description: A dataset containing 231 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carcharhinus longimanus (Poey, 1861)",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 231 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020315-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q9rhac
title: Occurrence Download

description: A dataset containing 56383 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-135.94791 5.75563,147.91961 5.75563,147.91961 71.83023,-135.94791 71.83023,-135.94791 5.75563))",
 "OccurrenceStatus is Present",
 "TaxonKey is Anser indicus (Latham, 1790)",
 "Year 2020-2025"
 ]
}

 The dataset includes 56383 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020294-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15063582
title: Metapsy suicide prevention files for ASReview
DOI: 10.5281/zenodo.15063583
title: Metapsy suicide prevention files for ASReview
DOI: 10.5281/zenodo.15063905
title: RGBDT dataset

description: RGBDT dataset captured from thermal and stereo cameras. This dataset is used for processing of thermal images and reconstruction of 3D materials in order to simulate thermoforming line.
DOI: 10.5281/zenodo.15063906
title: RGBDT dataset

description: RGBDT dataset captured from thermal and stereo cameras. This dataset is used for processing of thermal images and reconstruction of 3D materials in order to simulate thermoforming line.
DOI: 10.15468/dl.qnq4pm
title: Occurrence Download

description: A dataset containing 3435 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cetorhinus maximus (Gunnerus, 1765)",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 3435 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020316-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15063478
title: Quantification of Reaction Barriers under Diffusion Controlled Conditions

description: water_dimer_scangeom.xyz: Contains all coordinates for the dissociation scan of the water dimer, obtained using B3LYP/def2-TZVP. 

 C2F4_scangeom.xyz:  Contains all coordinates for the dissociation scan of the difluorocarbene dimer, obtained using  M06L/aug-cc-pVTZ.

PDL2_scangeom.xyz:  Contains all coordinates for the dissociation scan of the palladium complex, obtained using B3LYP/def2-SVP.

AuNHC2BrAuBr_scangeom.xyz:  Contains all coordinates for the dissociation scan of the N-heterocyclic gold complex, obtained using B3LYP/def2-SVP.
DOI: 10.5281/zenodo.14016855
title: DABI-DDI

description: Description of the Code Execution

All experimental codes for the Bayes model can be executed directly by running the bayes_train.py file located in the Bayes folder. By executing this file, the posterior probabilities of adverse events derived from the FAERS dataset using the Bayesian model will be obtained. Additionally, a comparison plot of AUC curves between the Bayesian model and the signal detection algorithm is generated. The output also includes the probabilities of adverse events associated with various drug combinations and their corresponding confidence levels. This enables the identification of drug combinations with a high confidence of causing adverse events through the Bayesian approach.

For all experiments related to the Mymodel model, the dataset can first be created using the create_data.py file in the Mymodel folder. The model training and validation process can then be performed by running the mymodel_train.py file. All experimental results are saved in the result folder, including the comparative performance of the proposed model against other models, ablation study results, and ROC curve comparison plots. The biological attribute network can be visualized by directly executing the BAN.py file.

All data processing and model training were conducted on an Ubuntu 20.04 LTS system, and the codebase was developed using the Torch framework. The required Python libraries for running the experiments are listed in the requirement.txt file.
DOI: 10.5281/zenodo.14016856
title: DABI-DDI
DOI: 10.15468/dl.q839da
title: Occurrence Download

description: A dataset containing 194762748 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 194762748 records from 27239 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020291-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive113294.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113294.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0104956.10fu
title: SH0104956.10FU

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/bacdive113295.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0104957.10fu
title: SH0104957.10FU

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/bacdive113295.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113296.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0104958.10fu
title: SH0104958.10FU

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/bacdive113296.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive113297.20241212.9.2
title: Streptomyces sp.

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