cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29300906.v1
title: Microbiome Analysis Data from 16S rDNA Sequencing of Functional Foods

description: This dataset contains microbiome analysis results from 16S rDNA amplicon sequencing, examining the gut microbiota composition in functional food samples. The files include raw sequencing data (FASTQ), processed feature tables, taxonomy assignments, and metadata. Analytical scripts and supplementary materials are provided for reproducibility.
DOI: 10.17632/z9p3kgyjdn
title: Fluid Inclusion Effects on Boron Isotope Fractionation during Halite Crystallization

description: The file includes the X-ray diffraction data (Figures 1 and 7) from the manuscript titled "Fluid Inclusion Effects on Boron Isotope Fractionation during Halite Crystallization."
DOI: 10.17632/z9p3kgyjdn.1
title: Fluid Inclusion Effects on Boron Isotope Fractionation during Halite Crystallization

description: The file includes the X-ray diffraction data (Figures 1 and 7) from the manuscript titled "Fluid Inclusion Effects on Boron Isotope Fractionation during Halite Crystallization."
DOI: 10.17632/52mc78v7nc
title: Data for: Bioactive components of flare tree peony (Paeonia rockii (S.G.Haw & Lauener) T.Hong & J.J.Li ex D.Y.Hong) leaves highlight the industrial potential and chemotaxonomic significance of tree peonies

description: Total ion chromatogram from HPLC-ESI-QTrap-MS, the metabolic content of tree peony cultivars and R code for graphs.
DOI: 10.17632/52mc78v7nc.1
title: Data for: Bioactive components of flare tree peony (Paeonia rockii (S.G.Haw & Lauener) T.Hong & J.J.Li ex D.Y.Hong) leaves highlight the industrial potential and chemotaxonomic significance of tree peonies

description: Total ion chromatogram from HPLC-ESI-QTrap-MS, the metabolic content of tree peony cultivars and R code for graphs.
DOI: 10.17632/8h5ty3c6ms
title: ImmersionEllipsometry_supplementary_materials

description: The archive contains software tools, written in Octave, for solving some inverse problems in ellipsometry.
This material is Supplementary Data to a paper named “Analytical Solutions for Layer and Substrate Parameters Determination Using Amplitude Reflection Coefficients”.
The study provides analytical solutions for determining layer and substrate parameters using amplitude reflection coefficients, which can be experimentally obtained through immersion ellipsometry. Four cases are considered: an absorbing layer on an arbitrary or homogeneous substrate, and a non-absorbing layer on an arbitrary or homogeneous substrate. For each case, explicit formulas are provided to determine the layer’s refractive index and thickness. In the case of a non-absorbing layer on a non-absorbing homogeneous substrate, all system parameters, including the layer’s refractive index, thickness, and the substrate’s refractive index, are determined.
DOI: 10.17632/8h5ty3c6ms.3
title: ImmersionEllipsometry_supplementary_materials

description: The archive contains software tools, written in Octave, for solving some inverse problems in ellipsometry.
This material is Supplementary Data to a paper named “Analytical Solutions for Layer and Substrate Parameters Determination Using Amplitude Reflection Coefficients”.
The study provides analytical solutions for determining layer and substrate parameters using amplitude reflection coefficients, which can be experimentally obtained through immersion ellipsometry. Four cases are considered: an absorbing layer on an arbitrary or homogeneous substrate, and a non-absorbing layer on an arbitrary or homogeneous substrate. For each case, explicit formulas are provided to determine the layer’s refractive index and thickness. In the case of a non-absorbing layer on a non-absorbing homogeneous substrate, all system parameters, including the layer’s refractive index, thickness, and the substrate’s refractive index, are determined.
DOI: 10.5281/zenodo.15646441
title: GM12878 H3
DOI: 10.5281/zenodo.15646442
title: GM12878 H3
DOI: 10.17632/5f5k6dhgh5
title: COPD_immune_subtyping

description: This repository contains the raw data used to generate the figures in the article: "Machine Learning-Assisted Multimodal Analysis Identifies an Immune-Driven COPD Subtype Associated with Increased Emphysema Across GOLD Stages" by Bordag, Jandl, Syarif et al.,
DOI: 10.17632/5f5k6dhgh5.1
title: COPD_immune_subtyping

description: This repository contains the raw data used to generate the figures in the article: "Machine Learning-Assisted Multimodal Analysis Identifies an Immune-Driven COPD Subtype Associated with Increased Emphysema Across GOLD Stages" by Bordag, Jandl, Syarif et al.,
DOI: 10.17632/zxgt7jsjz8
title: EVALUATION OF ANAEROBIC CAPACITY IN YOUNG ADULTS USING STEP TEST

description: Explores an acExplores an accessible alternative to other equipment such as the Wingate Anaerobic Test (WAnT), Whiceh often require specialized equipment and are expensive . The Wingate Test, a 30 second maximal effort on a cycle ergometer is widely recognized for measuring anaerobic power and capacity. However its high cost and the need for specialized equipment limit its accessibility in certain settings. In contrast, step tests,which involve stepping onto and off a platform at a consistent rate , offer a more economical and practical approach for evaluating anaerobic capacity .
In this study, participants aged 18 to 23 performed a one – minute anaerobic step test on a 40cm platform. The test involved stepping at a height of 40cm , with the number of steps completed in 15 seconds used to calculate peak anaerobic power (kg/) and the total number of steps in 60 seconds to estimate anaerobic capacity (kg/min).
These calculations are based on the formula:

 Power (kg/s) = Force × Distance × 1.33/ Time

 Capacity (kg/min) = Force × Distance ×1.33/ Time

Additionaly , participants data such as name , height, age, weight, and BMI were collected to contextualize the results. This approach provides a cost – effective method for assessing anaerobic capacity.
cessible alternative to other equipment such as the Wingate Anaerobic Test (WAnT), Which often require specialized equipment and are expensive . The Wingate Test, a 30 second maximal effort on a cycle ergometer is widely recognized for measuring anaerobic power and capacity. However its high cost and the need for specialized equipment limit its accessibility in certain settings. In contrast, step tests,which involve stepping onto and off a platform at a consistent rate , offer a more economical and practical approach for evaluating anaerobic capacity .
In this study, participants aged 18 to 23 performed a one – minute anaerobic step test on a 40cm platform. The test involved stepping at a height of 40cm , with the number of steps completed in 15 seconds used to calculate peak anaerobic power (kg/) and the total number of steps in 60 seconds to estimate anaerobic capacity (kg/min).
These calculations are based on the formula:

 Power (kg/s) = Force × Distance × 1.33/ Time

 Capacity (kg/min) = Force × Distance ×1.33/ Time

Additionaly , participants data such as name , height, age, weight, and BMI were collected to contextualize the results. This approach provides a cost – effective method for assessing anaerobic capacity.
DOI: 10.17632/zxgt7jsjz8.1
title: EVALUATION OF ANAEROBIC CAPACITY IN YOUNG ADULTS USING STEP TEST

description: Explores an acExplores an accessible alternative to other equipment such as the Wingate Anaerobic Test (WAnT), Whiceh often require specialized equipment and are expensive . The Wingate Test, a 30 second maximal effort on a cycle ergometer is widely recognized for measuring anaerobic power and capacity. However its high cost and the need for specialized equipment limit its accessibility in certain settings. In contrast, step tests,which involve stepping onto and off a platform at a consistent rate , offer a more economical and practical approach for evaluating anaerobic capacity .
In this study, participants aged 18 to 23 performed a one – minute anaerobic step test on a 40cm platform. The test involved stepping at a height of 40cm , with the number of steps completed in 15 seconds used to calculate peak anaerobic power (kg/) and the total number of steps in 60 seconds to estimate anaerobic capacity (kg/min).
These calculations are based on the formula:

 Power (kg/s) = Force × Distance × 1.33/ Time

 Capacity (kg/min) = Force × Distance ×1.33/ Time

Additionaly , participants data such as name , height, age, weight, and BMI were collected to contextualize the results. This approach provides a cost – effective method for assessing anaerobic capacity.
cessible alternative to other equipment such as the Wingate Anaerobic Test (WAnT), Which often require specialized equipment and are expensive . The Wingate Test, a 30 second maximal effort on a cycle ergometer is widely recognized for measuring anaerobic power and capacity. However its high cost and the need for specialized equipment limit its accessibility in certain settings. In contrast, step tests,which involve stepping onto and off a platform at a consistent rate , offer a more economical and practical approach for evaluating anaerobic capacity .
In this study, participants aged 18 to 23 performed a one – minute anaerobic step test on a 40cm platform. The test involved stepping at a height of 40cm , with the number of steps completed in 15 seconds used to calculate peak anaerobic power (kg/) and the total number of steps in 60 seconds to estimate anaerobic capacity (kg/min).
These calculations are based on the formula:

 Power (kg/s) = Force × Distance × 1.33/ Time

 Capacity (kg/min) = Force × Distance ×1.33/ Time

Additionaly , participants data such as name , height, age, weight, and BMI were collected to contextualize the results. This approach provides a cost – effective method for assessing anaerobic capacity.
DOI: 10.17632/g27tsjxjh9
title: Red Nucleus Excitatory Neurons Initiate Directional Motor Movement in Mice

description: Here, we systematically investigate the role of RN neurons in lateralized motor behavior. Using a combination of fiber photometry and optrode recordings in mice performing standardized T-maze tasks, we reveal RN neuronal ensembles with preferential activation during ipsilateral turning movements. Through cell-type-specific optogenetic manipulations, we establish a causal relationship between RN neuronal activity and directional motor control: selective activation or inhibition of RN glutamatergic neurons facilitates or block ipsilateral turning behavior. Anterograde trans-synaptic tracing with H129 reveals selective RN projections to spinal interneuron populations that govern ipsilateral flexion. Together, these findings redefine the RN as a specialized hub in midbrain networks mediating lateralized movements and provide a mechanistic framework for understanding asymmetric motor control, with potential implications for therapeutic approaches to movement disorders. The dataset primarily includes the original data for 5 key figures and the corresponding analysis code.
DOI: 10.17632/g27tsjxjh9.1
title: Red Nucleus Excitatory Neurons Initiate Directional Motor Movement in Mice

description: Here, we systematically investigate the role of RN neurons in lateralized motor behavior. Using a combination of fiber photometry and optrode recordings in mice performing standardized T-maze tasks, we reveal RN neuronal ensembles with preferential activation during ipsilateral turning movements. Through cell-type-specific optogenetic manipulations, we establish a causal relationship between RN neuronal activity and directional motor control: selective activation or inhibition of RN glutamatergic neurons facilitates or block ipsilateral turning behavior. Anterograde trans-synaptic tracing with H129 reveals selective RN projections to spinal interneuron populations that govern ipsilateral flexion. Together, these findings redefine the RN as a specialized hub in midbrain networks mediating lateralized movements and provide a mechanistic framework for understanding asymmetric motor control, with potential implications for therapeutic approaches to movement disorders. The dataset primarily includes the original data for 5 key figures and the corresponding analysis code.
DOI: 10.5281/zenodo.15646592
title: gugulu
DOI: 10.5281/zenodo.15646593
title: gugulu
DOI: 10.5281/zenodo.15101300
title: Data underlying the publication: "An ecological approach to honeybee olfactory conditioning: challenges and potential for the monitoring of Potato virus Y infection"

description: This project aimed to study honeybees as potential biosensors for the detection of the Potato virus Y (PVY). We used Pavlovian conditioning methods (i.e. associative learning) to train honeybees (Apis mellifera) in the detection of PVY virus in laboratory settings using potato leaflets from healthy or infected samples as odor cues. We recorded the PER (proboscis extension reflex) responses of the honeybees to the odor cues.
DOI: 10.5281/zenodo.15629755
title: Data underlying the publication: "An ecological approach to honeybee olfactory conditioning: challenges and potential for the monitoring of Potato virus Y infection"

description: This project aimed to study honeybees as potential biosensors for the detection of the Potato virus Y (PVY). We used Pavlovian conditioning methods (i.e. associative learning) to train honeybees (Apis mellifera) in the detection of PVY virus in laboratory settings using potato leaflets from healthy or infected samples as odor cues. We recorded the PER (proboscis extension reflex) responses of the honeybees to the odor cues.
DOI: 10.15468/dl.gcvz24
title: Occurrence Download

description: A dataset containing 11968 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is IDN.9.16_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 11968 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037758-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.62gua8
title: Occurrence Download

description: A dataset containing 11995 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC-BY-NC 4.0, CC0 1.0)",
 "TaxonKey is Meles meles (Linnaeus, 1758)"
 ]
}

 The dataset includes 11995 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037810-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r2ntw3
title: Occurrence Download

description: A dataset containing 31288 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "OccurrenceStatus is Present",
 "TaxonKey is Crepis paludosa (L.) Moench"
 ]
}

 The dataset includes 31288 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037764-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jng8es
title: Occurrence Download

description: A dataset containing 17262 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON(((74.18010726107207 22.29404959443142,74.17441117189509 22.347549612096554,74.15754180187685 22.39897429386611,74.13014743144669 22.446350714687945,74.09328081089728 22.487863191135496,74.04835870378133 22.521922301729123,73.99710744148267 22.547225069066926,73.94149658126942 22.562804128901757,73.88366321731262 22.568064136254044,73.82582985335583 22.562804128901757,73.77021899314256 22.547225069066926,73.71896773084391 22.521922301729123,73.67404562372795 22.487863191135496,73.63717900317856 22.446350714687945,73.60978463274839 22.39897429386611,73.59291526273016 22.347549612096554,73.58721917355318 22.29404959443142,73.59291526273016 22.240529086650017,73.60978463274839 22.189046054044976,73.63717900317856 22.14158230524456,73.67404562372795 22.099966818758805,73.71896773084391 22.06580469849073,73.77021899314256 22.04041460405253,73.82582985335583 22.024777194260402,73.88366321731262 22.019496697155606,73.94149658126942 22.024777194260402,73.99710744148267 22.04041460405253,74.04835870378133 22.06580469849073,74.09328081089728 22.099966818758805,74.13014743144669 22.14158230524456,74.15754180187685 22.189046054044976,74.17441117189509 22.240529086650017,74.18010726107207 22.29404959443142)))"
 ]
}

 The dataset includes 17262 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037671-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xgvunc
title: Occurrence Download

description: A dataset containing 29405 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "OccurrenceStatus is Present",
 "TaxonKey is Valeriana dioica L."
 ]
}

 The dataset includes 29405 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037788-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.avccpe
title: Occurrence Download

description: A dataset containing 21453 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is one of (Afghanistan, Albania, Algeria, Bulgaria, Cyprus, Egypt, France, Greece, Hungary, Iran (Islamic Republic of), Iraq, Italy, Kazakhstan, Kyrgyzstan, Libya, Morocco, Pakistan, Portugal, Romania, Russian Federation, Spain, Switzerland, Tajikistan, Tunisia, Türkiye, Turkmenistan, Ukraine, Uzbekistan)",
 "OccurrenceStatus is Present",
 "TaxonKey is Carthamus lanatus L.",
 "Year 1900-2025"
 ]
}

 The dataset includes 21453 records from 507 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037811-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cqpvr6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Magnoliopsida, Liliopsida, Gnetopsida, Cycadopsida, Cycadopsis Debey, 1848, Pinopsida, Ginkgoopsida)",
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "Geometry MULTIPOLYGON (((67.96131 48.26755, 68.02707 48.73086, 68.77599 49.20148, 68.52593 49.29414, 67.99412 49.11809, 67.47422 48.75079, 67.52775 48.25115, 67.37849 48.13665, 67.96131 48.26755)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0177779-210914110416597/datasets/export for details.
DOI: 10.15468/dl.qzzfxs
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bombus reinigiellus (Rasmont, 1983)"
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0185824-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jg9gq2
title: Occurrence Download

description: A dataset containing 535271 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Setophaga dominica",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year 2011-2021",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 535271 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084404-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xqypwz
title: Occurrence Download

description: A dataset containing 6208 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA",
 "TaxonKey is Didelphis virginiana Kerr, 1792",
 "Year 2000-2019"
 ]
}

 The dataset includes 6208 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0185842-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5rh7b2
title: Occurrence Download

description: A dataset containing 8410 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cyanocitta cristata (Linnaeus, 1758)",
 "Year 2011-2018"
 ]
}

 The dataset includes 8410 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0177764-210914110416597/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.25683666
title: Digit Span Backwards Task Data and Mean Span Formula Table

description: Excel document displaying complete dataset of participant mean span (MS) scores on a digit span backward task (DSBT). Includes a separate sheet displaying the MS scoring formulas used to produce MS scores given participants’ raw data files (available in project folder) produced from the adapted DSBT software (script available in project folder).
DOI: 10.6084/m9.figshare.25683666.v1
title: Digit Span Backwards Task Data and Mean Span Formula Table

description: Excel document displaying complete dataset of participant mean span (MS) scores on a digit span backward task (DSBT). Includes a separate sheet displaying the MS scoring formulas used to produce MS scores given participants’ raw data files (available in project folder) produced from the adapted DSBT software (script available in project folder).
DOI: 10.15468/dl.3ayvub
title: Occurrence Download

description: A dataset containing 172 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platystele oxyglossa (Schltr.) Garay"
 ]
}

 The dataset includes 172 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084397-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5hdq66
title: Occurrence Download

description: A dataset containing 3988568 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "Geometry POLYGON((17.23 83.40, -47.00 83.40, -47.00 48.50, 17.23 48.50, 17.23 83.40))",
 {
 "and" : [
 "Year is greater than or equal to 1950",
 "Year is less than 1960"
 ]
 }
 ]
}

 The dataset includes 3988568 records from 1100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0145976-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.