cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ql3shp
title: Occurrence Download

description: A dataset containing 260728 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Valeriana L."
 ]
}

 The dataset includes 260728 records from 717 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002701-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive24644.20240916.9.1
title: Marininema halotolerans Zhang et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24645.20241212.9.2
title: Melghirimyces thermohalophilus Addou et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24646.20241212.9.2
title: Lihuaxuella thermophila Yu et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24647.20241212.9.2
title: Hazenella coriacea Buss et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24648.20241212.9.2
title: Moorella stamsii Alves et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24650.20241212.9.2
title: Caldanaerobius polysaccharolyticus (Cann et al. 2001) Lee et al. 2008

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24651.20241212.9.2
title: Calderihabitans maritimus Yoneda et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24652.20241212.9.2
title: Thermococcus cleftensis Hensley et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24653.20241212.9.2
title: Thermococcus paralvinellae Hensley et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24655.20241212.9.2
title: Thermotoga profunda Mori et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24656.20241212.9.2
title: Thermotoga caldifontis Mori et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24660.20241212.9.2
title: Vibrio toranzoniae Lasa et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24661.20241212.9.2
title: Vibrio quintilis Lucena et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24663.20241212.9.2
title: Vibrio splendidus (Beijerinck 1900) Baumann et al. 1981

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24664.20241212.9.2
title: Vibrio ostreicida Prado et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24666.20241212.9.2
title: Waddlia chondrophila Rurangirwa et al. 1999

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24667.20241212.9.2
title: Williamsia sterculiae Fang et al. 2013 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24668.20241212.9.2
title: Azorhizobium oxalatiphilum Lang et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24669.20241212.9.2
title: Arenimonas metalli Chen et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24670.20241212.9.2
title: Dyella jiangningensis Zhao et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.23728/b2share.e85af321cc194368a7755cea4551ec5a
title: LTER Zöbelboden, Austria, Soil water chemistry 2022

description: Soil water chemistry of two forest stands in the site LTER Zöbelboden from the year 2022
DOI: 10.13145/bacdive24671.20241212.9.2
title: Luteibacter jiangsuensis Wang et al.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24674.20241212.9.2
title: Luteimonas cucumeris Sun et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24675.20241212.9.2
title: Luteimonas huabeiensis Wu et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24676.20241212.9.2
title: Luteimonas abyssi Fan et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24679.20241212.9.2
title: Pseudoxanthomonas spadix Young et al. 2007

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24680.20240916.9.1
title: Pseudoxanthomonas indica Kumari et al. 2011

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24683.20241212.9.2
title: Chiayiivirga flava Hsu et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.17632/w7gys3m7y3
title: Dataset for Systematic Review on E-learning for Arabic Dyslexia

description: The dataset for Systematic Review on E-learning for Arabic Dyslexia
DOI: 10.17632/w7gys3m7y3.1
title: Dataset for Systematic Review on E-learning for Arabic Dyslexia

description: The dataset for Systematic Review on E-learning for Arabic Dyslexia
DOI: 10.5281/zenodo.15745289
title: Dataset for "Effects of Neurological Disorders on Health Expenditure and Economic Output: Dynamic Panel Analysis for OECD Countries"

description: This dataset supports the findings presented in the article titled "Effects of Neurological Disorders on Health Expenditure and Economic Output: Dynamic Panel Analysis for OECD Countries", published in Systems (2025, Vol. 13). The panel data covers annual indicators from OECD countries and includes variables related to neurological disorder prevalence, health expenditure, and economic output between 2000 and 2022. All variables were harmonized and prepared for dynamic panel data modeling, including Arellano–Bond and Blundell–Bond estimators.The dataset is fully anonymized, aggregated at the country-year level, and publicly available for replication and further research purposes.
DOI: 10.5281/zenodo.15745290
title: Dataset for "Effects of Neurological Disorders on Health Expenditure and Economic Output: Dynamic Panel Analysis for OECD Countries"

description: This dataset supports the findings presented in the article titled "Effects of Neurological Disorders on Health Expenditure and Economic Output: Dynamic Panel Analysis for OECD Countries", published in Systems (2025, Vol. 13). The panel data covers annual indicators from OECD countries and includes variables related to neurological disorder prevalence, health expenditure, and economic output between 2000 and 2022. All variables were harmonized and prepared for dynamic panel data modeling, including Arellano–Bond and Blundell–Bond estimators.The dataset is fully anonymized, aggregated at the country-year level, and publicly available for replication and further research purposes.
DOI: 10.15468/dl.5m2w6a
title: Occurrence Download

description: A dataset containing 570 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lolium perenne L.",
 "Year 1999-2025"
 ]
}

 The dataset includes 570 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069855-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/72b3hyjgdh
title: Datasets for the article “Smallholder cropping systems contribute limited greenhouse gas fluxes in upper Eastern Kenya”

description: The datasets were collected from two smallholder farms in Upper Eastern Kenya over a year (April 2019–April 2020). The study aimed to quantify greenhouse gas (GHG) emissions from different smallholder cropping systems. The cropping systems investigated included i) sole maize, ii) maize-beans intercrop, iii) agroforestry, iv) banana, and v) coffee. The GHG data (carbon dioxide [CO₂], methane [CH₄], and nitrous oxide [N₂O]) were collected using static chamber methods, and gas samples were analyzed using gas chromatography. Soil samples were collected at 0 –20 cm depth and analyzed for bulk density, pH, organic carbon, and total nitrogen. Daily precipitation and soil moisture content were recorded throughout the study. Biomass measurements (grain, leaves, stems, and roots) were measured for the two cropping seasons. To determine GHG emissions, cumulative fluxes were calculated. Statistical analysis, including analysis of variance (ANOVA), was conducted to evaluate differences in GHG emissions across cropping systems. This dataset is supplementary to the research article Lemarpe, S.E., Musafiri, C.M., Kiboi, M.N., Ng'etich, O.K., Macharia, J.M., Shisanya, C.A., Kibet, E., Zeila, A., Mutuo, P. and Ngetich, F.K., (2023). Smallholder cropping systems contribute limited greenhouse gas fluxes in upper Eastern Kenya. Nature-Based Solutions, 4, p.100098. https://doi.org/10.1016/j.nbsj.2023.100098
DOI: 10.17632/72b3hyjgdh.3
title: Datasets for the article “Smallholder cropping systems contribute limited greenhouse gas fluxes in upper Eastern Kenya”

description: The datasets were collected from two smallholder farms in Upper Eastern Kenya over a year (April 2019–April 2020). The study aimed to quantify greenhouse gas (GHG) emissions from different smallholder cropping systems. The cropping systems investigated included i) sole maize, ii) maize-beans intercrop, iii) agroforestry, iv) banana, and v) coffee. The GHG data (carbon dioxide [CO₂], methane [CH₄], and nitrous oxide [N₂O]) were collected using static chamber methods, and gas samples were analyzed using gas chromatography. Soil samples were collected at 0 –20 cm depth and analyzed for bulk density, pH, organic carbon, and total nitrogen. Daily precipitation and soil moisture content were recorded throughout the study. Biomass measurements (grain, leaves, stems, and roots) were measured for the two cropping seasons. To determine GHG emissions, cumulative fluxes were calculated. Statistical analysis, including analysis of variance (ANOVA), was conducted to evaluate differences in GHG emissions across cropping systems. This dataset is supplementary to the research article Lemarpe, S.E., Musafiri, C.M., Kiboi, M.N., Ng'etich, O.K., Macharia, J.M., Shisanya, C.A., Kibet, E., Zeila, A., Mutuo, P. and Ngetich, F.K., (2023). Smallholder cropping systems contribute limited greenhouse gas fluxes in upper Eastern Kenya. Nature-Based Solutions, 4, p.100098. https://doi.org/10.1016/j.nbsj.2023.100098
DOI: 10.15156/bio/sh0209146.10fu
title: SH0209146.10FU

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/sh0209147.10fu
title: SH0209147.10FU

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/sh0209148.10fu
title: SH0209148.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.ap8kcn
title: Occurrence Download

description: A dataset containing 7226822 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Korea, Republic of"
 ]
}

 The dataset includes 7226822 records from 1438 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075792-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14272/wxsgqhkhuytjnb-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (2,6-dimethoxybenzaldehyde)
title: InChI=1S/C9H10O3/c1-11-8-4-3-5-9(12-2)7(8)6-10/h3-6H,1-2H3

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR)
DOI: 10.14272/wxsgqhkhuytjnb-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (2,6-dimethoxybenzaldehyde)
title: InChI=1S/C9H10O3/c1-11-8-4-3-5-9(12-2)7(8)6-10/h3-6H,1-2H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
DOI: 10.14272/wxsgqhkhuytjnb-uhfffaoysa-n/chmo0000604
title: heteronuclear single quantum coherence (HSQC) (2,6-dimethoxybenzaldehyde)
title: InChI=1S/C9H10O3/c1-11-8-4-3-5-9(12-2)7(8)6-10/h3-6H,1-2H3

description: dataset for heteronuclear single quantum coherence (HSQC)
DOI: 10.14272/wxsgqhkhuytjnb-uhfffaoysa-n/chmo0000601
title: heteronuclear multiple bond coherence (HMBC) (2,6-dimethoxybenzaldehyde)
title: InChI=1S/C9H10O3/c1-11-8-4-3-5-9(12-2)7(8)6-10/h3-6H,1-2H3

description: dataset for heteronuclear multiple bond coherence (HMBC)
DOI: 10.14272/wxsgqhkhuytjnb-uhfffaoysa-n/chmo0000596
title: distortionless enhancement with polarization transfer (DEPT) (2,6-dimethoxybenzaldehyde)
title: InChI=1S/C9H10O3/c1-11-8-4-3-5-9(12-2)7(8)6-10/h3-6H,1-2H3

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/wxsgqhkhuytjnb-uhfffaoysa-n.1
title: 2,6-dimethoxybenzaldehyde
title: InChI=1S/C9H10O3/c1-11-8-4-3-5-9(12-2)7(8)6-10/h3-6H,1-2H3

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/C9H10O3/c1-11-8-4-3-5-9(12-2)7(8)6-10/h3-6H,1-2H3, and canonical SMILES descriptor[cheminf_000007]: O=Cc1c(OC)cccc1OC, and by the IUPAC name[cheminf_000107]: 2,6-dimethoxybenzaldehyde.
 
 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-41821

 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:0000599 | correlation spectroscopy (COSY)
 
 CHMO:0000596 | distortionless enhancement with polarization transfer (DEPT)
 
 CHMO:0000596 | distortionless enhancement with polarization transfer (DEPT)
 
 CHMO:0000604 | heteronuclear single quantum coherence (HSQC)
 
 CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 CHMO:0000601 | heteronuclear multiple bond coherence (HMBC)
 
 CHMO:0000595 | 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 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/wxsgqhkhuytjnb-uhfffaoysa-n/chmo0000596.1
title: distortionless enhancement with polarization transfer (DEPT) (2,6-dimethoxybenzaldehyde)
title: InChI=1S/C9H10O3/c1-11-8-4-3-5-9(12-2)7(8)6-10/h3-6H,1-2H3

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/wxsgqhkhuytjnb-uhfffaoysa-n/chmo0000599
title: correlation spectroscopy (COSY) (2,6-dimethoxybenzaldehyde)
title: InChI=1S/C9H10O3/c1-11-8-4-3-5-9(12-2)7(8)6-10/h3-6H,1-2H3

description: dataset for correlation spectroscopy (COSY)
DOI: 10.15468/dl.9suf9x
title: Occurrence Download

description: A dataset containing 34060957 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 34060957 records from 15848 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075823-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qm64cg
title: Occurrence Download

description: A dataset containing 34775 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ammomanes deserti (Lichtenstein, 1823)"
 ]
}

 The dataset includes 34775 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017692-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tat8dd
title: Occurrence Download

description: A dataset containing 1811 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Bouteloua gracilis (Kunth) Lag. ex Griffiths",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 1811 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017694-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17274376
title: Isotopic evidence of changes in U.S. energy fuels and implications for particulate nitrate

description: This data is for the manuscript entitled, "Isotopic evidence of changes in U.S. energy fuels and implications for particulate nitrate". Data contain observation results for the nitrogen isotopes in nitrate.
DOI: 10.5281/zenodo.17274377
title: Isotopic evidence of changes in U.S. energy fuels and implications for particulate nitrate

description: This data is for the manuscript entitled, "Isotopic evidence of changes in U.S. energy fuels and implications for particulate nitrate". Data contain observation results for the nitrogen isotopes in nitrate.
DOI: 10.5281/zenodo.17274373
title: UK Cities Livability Analysis
DOI: 10.5281/zenodo.17274372
title: UK Cities Livability Analysis