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

description: A dataset containing 31360 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Neuropteren Deutschlands (Neuropterida of Germany)"
 ]
}

 The dataset includes 31360 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033536-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z3nndt
title: Occurrence Download

description: A dataset containing 154 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Lemniscomys griselda (Thomas, 1904)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 154 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033538-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15632554
title: NAMED project anonymised data
DOI: 10.5281/zenodo.15632555
title: NAMED project anonymised data
DOI: 10.15468/dl.fe8z52
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyperolius argus Peters, 1854",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((32.064 -28.9416,32.4847 -28.5786,30.5701 -28.5786,30.5701 -30.7329,30.6252 -30.6659,31.4179 -29.4257,31.8178 -29.0299,32.064 -28.9416))"
 ]
}

 The dataset includes 73 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033539-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26165/juelich-data/kes99y
title: Data used in: Shear-resistant topology in the quasi-one-dimensional van der Waals material Bi4Br4

description: We provide the Data and source files needed to reproduce the figures in Hofmann et al.: "Shear-resistant topology in the quasi-one-dimensional van der Waals material Bi4Br4"
DOI: 10.17632/xk38tj5vbw
title: Python Code for Qualitative Exposuremetrics Analysis

description: Qualitative exposuremetrics is a measure of the biological proximity or deviation of an organism from the observed progressive threat or anti-threat responses to the expected cumulative threat or anti-threat responses (i.e., the residual, net, or gross expectation) as a result of an exposure to a harmful agent(s) [1]. It estimates the organismal threat or anti-threat response dynamics of resistance and susceptibility within a population over successful events and generations. The qualitative exposuremetrics methodology was limited to qualitative variables that define the threat or anti-threat responses, such as the frequency of mortality or survival, and the presence or absence of threat-induced biological responses [1]. 

In this context, organismal resistance is defined as the isoreflectivity (isoreflective pairing) of observed anti-threat responses to the expected cumulative anti-threat responses (i.e., the residual, net, or gross expectation). The organismal susceptibility is the deviation from attaining a complete and total susceptibility status [1].

The process of qualitative exposuremetrics comprises four distinct phases: 
a) Preprocessing (conceptualization, parameterization, adaptive customization and optimization) phase: This phase forms the core of the methodology, defining key concepts and expectations derived from observed variables to guide the design of the statistical mirror. It also involves customizing and optimizing parameters to ensure the statistical mirroring process is well-suited to the specific analytical task [1].
b) Statistical mirroring analysis phase [2]: This involves applying a suitable statistical mirroring type based on the phase 1 adaption of the established adaptive customization and optimization of statistical mirroring parameters. 
c) Kabirian-based optinalysis model calculation phase [3]: This phase is focused on computing estimates (such as the Kabirian coefficient of proximity, the probability of proximity, and the deviation) based on Kabirian-based isomorphic optinalysis models. 
d) Advanced Exposuremetrics Calculations phase: These advanced metrics are the simple arithmetic differences between qualitative exposuremetrics estimates [1].

References:
[1] Abdullahi, K. B.; Suleiman, M.; Wagini, N. H.; Sani, I. (2025). Qualitative exposuremetrics: A comprehensive and sensitive estimation framework for analyzing organismal resistance and susceptibility dynamics using qualitative variables. [You can follow updates for the published citation details]

[2] Abdullahi, K. B. (2024). Statistical mirroring: A robust method for statistical dispersion estimation. MethodsX, 12, 102682. doi: 10.1016/j.mex.2024.102682 

[3] Abdullahi, K. B. (2023). Kabirian-based optinalysis: A conceptually grounded framework for symmetry/asymmetry, similarity/dissimilarity, and identity/unidentity estimations in mathematical structures and biological sequences. MethodsX, 11, 102400. doi: 10.1016/j.mex.2023.102400
DOI: 10.17632/xk38tj5vbw.1
title: Python Code for Qualitative Exposuremetrics Analysis

description: Qualitative exposuremetrics is a measure of the biological proximity or deviation of an organism from the observed progressive threat or anti-threat responses to the expected cumulative threat or anti-threat responses (i.e., the residual, net, or gross expectation) as a result of an exposure to a harmful agent(s) [1]. It estimates the organismal threat or anti-threat response dynamics of resistance and susceptibility within a population over successful events and generations. The qualitative exposuremetrics methodology was limited to qualitative variables that define the threat or anti-threat responses, such as the frequency of mortality or survival, and the presence or absence of threat-induced biological responses [1]. 

In this context, organismal resistance is defined as the isoreflectivity (isoreflective pairing) of observed anti-threat responses to the expected cumulative anti-threat responses (i.e., the residual, net, or gross expectation). The organismal susceptibility is the deviation from attaining a complete and total susceptibility status [1].

The process of qualitative exposuremetrics comprises four distinct phases: 
a) Preprocessing (conceptualization, parameterization, adaptive customization and optimization) phase: This phase forms the core of the methodology, defining key concepts and expectations derived from observed variables to guide the design of the statistical mirror. It also involves customizing and optimizing parameters to ensure the statistical mirroring process is well-suited to the specific analytical task [1].
b) Statistical mirroring analysis phase [2]: This involves applying a suitable statistical mirroring type based on the phase 1 adaption of the established adaptive customization and optimization of statistical mirroring parameters. 
c) Kabirian-based optinalysis model calculation phase [3]: This phase is focused on computing estimates (such as the Kabirian coefficient of proximity, the probability of proximity, and the deviation) based on Kabirian-based isomorphic optinalysis models. 
d) Advanced Exposuremetrics Calculations phase: These advanced metrics are the simple arithmetic differences between qualitative exposuremetrics estimates [1].

References:
[1] Abdullahi, K. B.; Suleiman, M.; Wagini, N. H.; Sani, I. (2025). Qualitative exposuremetrics: A comprehensive and sensitive estimation framework for analyzing organismal resistance and susceptibility dynamics using qualitative variables. [You can follow updates for the published citation details]

[2] Abdullahi, K. B. (2024). Statistical mirroring: A robust method for statistical dispersion estimation. MethodsX, 12, 102682. doi: 10.1016/j.mex.2024.102682 

[3] Abdullahi, K. B. (2023). Kabirian-based optinalysis: A conceptually grounded framework for symmetry/asymmetry, similarity/dissimilarity, and identity/unidentity estimations in mathematical structures and biological sequences. MethodsX, 11, 102400. doi: 10.1016/j.mex.2023.102400
DOI: 10.15468/dl.ssrpfm
title: Occurrence Download

description: A dataset containing 789 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ishige sinicola (Setchell & Gardner) Chihara, 1969"
 ]
}

 The dataset includes 789 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033541-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/cds7tvdb85.1
title: Raw data and code for Kamrad et al (2025) "Impact of drugs and environmental contaminants on amine production by gut bacteria"

description: This repository contains raw data, code and analyses outputs. Analyses were performed in python using jupyter notebooks, in particular:
20241104_raw_data_qc_and_hitCalling.ipynb - Initial processing of the LC-MS results of the main screen, including quality control and hit calling.
20241105_intregated_analysis_focused.ipynb - Downstream analysis of the main screen to generate the plots shown in the publication.
20241104_OD_analysis.ipynb - Analysis of the growth data of the main screen.

The other files and folders are inputs and outputs of these jupyter notebooks. The file 
20241117_longData_withOD.csv contains all individual recorded datapoints of the experiment in long format.
The folder dose-response_screen contains all data and notebooks associated with the dose response screen.
DOI: 10.48570/bamf.fdz.azr.on.2021.1.0
title: AZR-Forschungsdatensatz 2021

description: Der AZR-Forschungsdatensatz ist eine 20-prozentige Zufallsstichprobe aus dem allgemeinen Datenbestand des AZR, der für wissenschaftliche Forschungsvorhaben durch das BAMF-FDZ zur Verfügung gestellt wird. Er enthält grundsätzlich Daten zu aufhältigen und nicht aufhältigen Drittstaatsangehörigen (keine EU-Bürgerinnen und EU-Bürger), die sich nicht nur vorübergehend (länger als drei Monate) in Deutschland aufhalten oder aufgehalten haben. In Ausnahmen sind auch Daten zu Drittstaatsangehörigen enthalten, die sich zum Zeitpunkt der Erstellung des Datensatzes (noch) weniger als drei Monate im Bundesgebiet aufgehalten haben (Beispiel: Asylbewerbende nach Antragstellung). Die Ausländerinnen und Ausländer in der Stichprobe weisen zum Stichtag ein Mindestalter von 18 Jahren auf. Die Stichprobe für den AZR-Forschungsdatensatz 2021 wurde zum Stichtag 30. Juni 2021 gezogen. Der Datensatz ist modular gegliedert und wird in 16 Module eingeteilt. Jedes Modul verfügt über ein Standardmodul. Des Weiteren liegen für einige Module sowohl Zusatzmodule als auch Zusatzmerkmale vor. Die Module und Zusatzmerkmale werden in Abhängigkeit der Erforderlichkeit für das jeweilige Forschungsvorhaben zur Verfügung gestellt. Detailliertere Informationen zur Datennutzung sind im Datenreport nachzulesen.
DOI: 10.17632/phcg6b6j4g
title: Replication Folder for "Digital Financial Inclusion as a Safety Net: Empowering Households against Health Shocks"

description: Replication files for "Digital Financial Inclusion as a Safety Net: Empowering Households against Health Shocks" by Qingwen Xu, Chun Liu, Xingyu Gong, Xiang Ma and Ding Liu.
DOI: 10.17632/phcg6b6j4g.1
title: Replication Folder for "Digital Financial Inclusion as a Safety Net: Empowering Households against Health Shocks"

description: Replication files for "Digital Financial Inclusion as a Safety Net: Empowering Households against Health Shocks" by Qingwen Xu, Chun Liu, Xingyu Gong, Xiang Ma and Ding Liu.
DOI: 10.17632/xz4c74zvfc.1
title: Low-temperature geochronology and tectonic geomorphology of the Uludağ Metamorphic Core Complex, northwest Türkiye and its implications on the Aegean extensional tectonics

description: AHe data
DOI: 10.17632/xz4c74zvfc.2
title: Low-temperature geochronology and tectonic geomorphology of the Uludağ Metamorphic Core Complex, northwest Türkiye and its implications on the Aegean extensional tectonics

description: AHe data
DOI: 10.17632/xz4c74zvfc.3
title: Low-temperature geochronology and tectonic geomorphology of the Uludağ Metamorphic Core Complex, northwest Türkiye and its implications on the Aegean extensional tectonics

description: AHe data
DOI: 10.17632/xz4c74zvfc
title: Low-temperature geochronology and tectonic geomorphology of the Uludağ Metamorphic Core Complex, northwest Türkiye and its implications on the Aegean extensional tectonics

description: AHe data and drainage network of Uludag Mountain
DOI: 10.17632/xz4c74zvfc.4
title: Low-temperature geochronology and tectonic geomorphology of the Uludağ Metamorphic Core Complex, northwest Türkiye and its implications on the Aegean extensional tectonics

description: AHe data and drainage network of Uludag Mountain
DOI: 10.14272/mtaodlnxwyikso-uhfffaoysa-n/chmo0000599
title: correlation spectroscopy (COSY) (2-fluoropyridine)
title: InChI=1S/C5H4FN/c6-5-3-1-2-4-7-5/h1-4H

description: dataset for correlation spectroscopy (COSY)
DOI: 10.14272/mtaodlnxwyikso-uhfffaoysa-n/chmo0000601
title: heteronuclear multiple bond coherence (HMBC) (2-fluoropyridine)
title: InChI=1S/C5H4FN/c6-5-3-1-2-4-7-5/h1-4H

description: dataset for heteronuclear multiple bond coherence (HMBC)
DOI: 10.14272/mtaodlnxwyikso-uhfffaoysa-n/chmo0000596
title: distortionless enhancement with polarization transfer (DEPT) (2-fluoropyridine)
title: InChI=1S/C5H4FN/c6-5-3-1-2-4-7-5/h1-4H

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/mtaodlnxwyikso-uhfffaoysa-n/chmo0000597
title: 19F nuclear magnetic resonance spectroscopy (19F NMR) (2-fluoropyridine)
title: InChI=1S/C5H4FN/c6-5-3-1-2-4-7-5/h1-4H

description: dataset for 19F nuclear magnetic resonance spectroscopy (19F NMR)
DOI: 10.14272/mtaodlnxwyikso-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (2-fluoropyridine)
title: InChI=1S/C5H4FN/c6-5-3-1-2-4-7-5/h1-4H

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
DOI: 10.14272/mtaodlnxwyikso-uhfffaoysa-n/chmo0000596.1
title: distortionless enhancement with polarization transfer (DEPT) (2-fluoropyridine)
title: InChI=1S/C5H4FN/c6-5-3-1-2-4-7-5/h1-4H

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/mtaodlnxwyikso-uhfffaoysa-n.1
title: 2-fluoropyridine
title: InChI=1S/C5H4FN/c6-5-3-1-2-4-7-5/h1-4H

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/C5H4FN/c6-5-3-1-2-4-7-5/h1-4H, and canonical SMILES descriptor[cheminf_000007]: Fc1ccccn1, and by the IUPAC name[cheminf_000107]: 2-fluoropyridine.
 
 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-53863

 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:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 CHMO:0000599 | correlation spectroscopy (COSY)
 
 CHMO:0000596 | distortionless enhancement with polarization transfer (DEPT)
 
 CHMO:0000597 | 19F nuclear magnetic resonance spectroscopy (19F NMR)
 
 CHMO:0000604 | heteronuclear single quantum coherence (HSQC)
 
 CHMO:0000601 | heteronuclear multiple bond coherence (HMBC)
 
 CHMO:0000595 | 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 CHMO:0000596 | distortionless enhancement with polarization transfer (DEPT)
 
 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/mtaodlnxwyikso-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (2-fluoropyridine)
title: InChI=1S/C5H4FN/c6-5-3-1-2-4-7-5/h1-4H

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR)
DOI: 10.14272/mtaodlnxwyikso-uhfffaoysa-n/chmo0000604
title: heteronuclear single quantum coherence (HSQC) (2-fluoropyridine)
title: InChI=1S/C5H4FN/c6-5-3-1-2-4-7-5/h1-4H

description: dataset for heteronuclear single quantum coherence (HSQC)
DOI: 10.17632/j8wjfwh2hv
title: Western Pacific subtropical high regulated the spatiotemporal pattern of East Asian summer monsoon precipitation during the Holocene

description: This dataset presents the results of chronology and environmental magnetic parameters for a newly discovered Holocene loess-paleosol sequence in the central Hexi Corridor, China, recording paleoprecipitation history and its response to the East Asian summer monsoon.
DOI: 10.17632/j8wjfwh2hv.1
title: Western Pacific subtropical high regulated the spatiotemporal pattern of East Asian summer monsoon precipitation during the Holocene

description: This dataset presents the results of chronology and environmental magnetic parameters for a newly discovered Holocene loess-paleosol sequence in the central Hexi Corridor, China, recording paleoprecipitation history and its response to the East Asian summer monsoon.
DOI: 10.15468/dl.488gp2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Lemniscomys hoogstraali Dieterlen, 1991",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033544-250525065834625/datasets/export for details.
DOI: 10.15468/dl.qd4njd
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyperolius argus Peters, 1854",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.5808 -24.13,35.5909 -24.0715,30.5701 -24.0715,30.5701 -28.5786,32.4847 -28.5786,32.55 -28.5222,33.0346 -26.8668,32.9741 -26.7838,33.0415 -26.059,32.9304 -26.0011,32.7994 -26.1281,32.6834 -26.0015,32.813 -25.8728,32.8513 -25.7166,33.3048 -25.3731,35.1489 -24.6699,35.5808 -24.13))"
 ]
}

 The dataset includes 122 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033543-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rpmv3m
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Jania arborescens (Yendo) Yendo, 1905"
 ]
}

 The dataset includes 63 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033542-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/k9bv9hyx8c
title: Ultrasonic impact treatment on residual stress and substructure evolution in laser-DED manufactured CoCrNi alloy: mechanisms and implications for corrosion performance

description: This dataset contains all the data and supplementary materials of the manuscript titled "Ultrasonic Impact Treatment on Residual Stress and Substructure Evolution in Laser-DED Manufactured CoCrNi Alloy: Mechanisms and Implications for Corrosion Performance".
DOI: 10.17632/k9bv9hyx8c.1
title: Ultrasonic impact treatment on residual stress and substructure evolution in laser-DED manufactured CoCrNi alloy: mechanisms and implications for corrosion performance

description: This dataset contains all the data and supplementary materials of the manuscript titled "Ultrasonic Impact Treatment on Residual Stress and Substructure Evolution in Laser-DED Manufactured CoCrNi Alloy: Mechanisms and Implications for Corrosion Performance".
DOI: 10.17632/6zx6hfttfk
title: Otitis externa owing to allergic contact dermatitis to earphones and earplugs: A case control study

description: Inclusion criteria and exclusion criteria
DOI: 10.17632/6zx6hfttfk.1
title: Otitis externa owing to allergic contact dermatitis to earphones and earplugs: A case control study

description: Inclusion criteria and exclusion criteria
DOI: 10.15468/dl.5bhkzm
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Jania ungulata (Yendo) Yendo"
 ]
}

 The dataset includes 42 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033546-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/wcw7nnvb4k
title: Socially Responsible Investing and Global ESG Standards

description: This dataset is supplementary data for the manuscript titled “Socially Responsible Investing and Global ESG Standards.” It contains the initial dataset downloaded from the Scopus database, screening tables, quality assessment, and data extraction.
DOI: 10.17632/wcw7nnvb4k.1
title: Socially Responsible Investing and Global ESG Standards

description: This dataset is supplementary data for the manuscript titled “Socially Responsible Investing and Global ESG Standards.” It contains the initial dataset downloaded from the Scopus database, screening tables, quality assessment, and data extraction.
DOI: 10.5281/zenodo.15622802
title: 22 for testing - updated after publish 1111

description: 22 This project explores the intricate details of single cells in the human body, focusing on their structure, function, and behaviour. By studying individual cells, it aims to uncover how they contribute to overall 111 1111 health, disease progression, and human bio
DOI: 10.5281/zenodo.15622803
title: 22 for testing - updated after publish 1111

description: 22 This project explores the intricate details of single cells in the human body, focusing on their structure, function, and behaviour. By studying individual cells, it aims to uncover how they contribute to overall 111 1111 health, disease progression, and human bio