cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15729112
title: stellar_evolution_tracks/Baraffe

description: Modelled stellar evolution tracks from Barrafe+15 for PMS and MS stars.



BHAC15 tracks and internal structure for brown dwarfs and low mass star (0.01 Msun to 1.4 Msun)

M/Ms: mass of the star in units of solar mass
log t: age of the star (in yr)
Teff: effective temperature (in K)
L/Ls: log luminosity in units of solar luminosity (value used Ls=3.839d+33)
g: log g  (surface gravity)
R/Rs : radius of the star in units of solar radius    (value used Rs=6.96d10)
log(Li/Li0): log of the ratio of surface lithium abundance to initial abundance
log Tc : log of central temprature
log ROc: log of central density (in gr/cc)
Mrad: mass of radiative core (in solar mass)
Rrad: radius of radiatif core (in solar radius)
k2conv: convective gyration radius
k2rad: radiative gyration radius
DOI: 10.5281/zenodo.15729114
title: stellar_evolution_tracks/Baraffe

description: Modelled stellar evolution tracks from Barrafe+15 for PMS and MS stars.



BHAC15 tracks and internal structure for brown dwarfs and low mass star (0.01 Msun to 1.4 Msun)

M/Ms: mass of the star in units of solar mass
log t: age of the star (in yr)
Teff: effective temperature (in K)
L/Ls: log luminosity in units of solar luminosity (value used Ls=3.839d+33)
g: log g  (surface gravity)
R/Rs : radius of the star in units of solar radius    (value used Rs=6.96d10)
log(Li/Li0): log of the ratio of surface lithium abundance to initial abundance
log Tc : log of central temprature
log ROc: log of central density (in gr/cc)
Mrad: mass of radiative core (in solar mass)
Rrad: radius of radiatif core (in solar radius)
k2conv: convective gyration radius
k2rad: radiative gyration radius
DOI: 10.15468/dl.kx5zjm
title: Occurrence Download

description: A dataset containing 992 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Linnaea borealis L.",
 "Geometry POLYGON((-8.00174339329464 54.1998526673513, 0.202120938926891 54.1998526673513, 0.202120938926891 61.2628565887411, -8.00174339329464 61.2628565887411, -8.00174339329464 54.1998526673513))",
 "CoordinateUncertaintyInMeters is 0,101",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 992 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068603-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15737403
title: Associations Between Exercise Capacity, Sleep Quality, and Academic Stress in Young Sedentary Adults: A Cross-Sectional Study

description: This dataset accompanies the cross-sectional study titled "Associations Between Exercise Capacity, Sleep Quality, and Academic Stress in Young Sedentary Adults." It includes anonymized data on physical activity levels, six-minute walk test results, Pittsburgh Sleep Quality Index (PSQI) scores, and Educational Stress Scale (ESS) scores collected from undergraduate students. The dataset was analyzed using IBM SPSS Statistics version 20.0.
DOI: 10.5281/zenodo.15737404
title: Associations Between Exercise Capacity, Sleep Quality, and Academic Stress in Young Sedentary Adults: A Cross-Sectional Study

description: This dataset accompanies the cross-sectional study titled "Associations Between Exercise Capacity, Sleep Quality, and Academic Stress in Young Sedentary Adults." It includes anonymized data on physical activity levels, six-minute walk test results, Pittsburgh Sleep Quality Index (PSQI) scores, and Educational Stress Scale (ESS) scores collected from undergraduate students. The dataset was analyzed using IBM SPSS Statistics version 20.0.
DOI: 10.15468/dl.sx5kuu
title: Occurrence Download

description: A dataset containing 3704 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is NZL",
 "TaxonKey is Hymenolaimus malacorhynchos (J.F.Gmelin, 1789)"
 ]
}

 The dataset includes 3704 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068604-250525065834625/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.29400935
title: DNA barcodes of 38 plant species

description: Grasshoppers are integral to grassland ecosystems, influencing vegetation structure and productivity, and participating in energy flow and material cycling. However, increased stocking rates can alter the composition and structure of plant communities, thereby impacting the food resources and trophic niche of grasshoppers. Currently, significant gaps exist in research on how the trophic niche of grasshoppers changes under different stocking rates. Therefore, we conducted a field experiment in the Inner Mongolian desert steppe with four stocking rate treatments: no grazing, light, moderate, and heavy stocking rate grazing. We utilized stable carbon isotopes (δ13C) and nitrogen isotopes (δ15N) to analyze the trophic positions of three dominantgrasshopper species. Additionally, we assessed dietary diversity through high-throughput gut content DNA barcoding sequencing. Our results showed that moderate to heavy grazing significantly altered the isotopic ratios of grasshoppers, and affected their trophic niche and dietary preferences. The trophic niche of Oedaleus asiaticuswas the broadest under no grazing, whereas the trophic niche of Myrmeleotettix palpalis and Calliptamus abbreviatus increased with stocking rates. Dietary diversity decreased with stocking rates but then increased under heavy stocking rates, and was positively correlated with plant species richness, diversity, and biomass. These changes may affect the survival of grasshoppers and ecosystem functions. These findings highlight the impact of stocking rate on the dietary diversity of three grasshopper species and provide a new perspective for understanding how herbivorous insects respond to environmental changes.
DOI: 10.6084/m9.figshare.29400935.v1
title: DNA barcodes of 38 plant species

description: Grasshoppers are integral to grassland ecosystems, influencing vegetation structure and productivity, and participating in energy flow and material cycling. However, increased stocking rates can alter the composition and structure of plant communities, thereby impacting the food resources and trophic niche of grasshoppers. Currently, significant gaps exist in research on how the trophic niche of grasshoppers changes under different stocking rates. Therefore, we conducted a field experiment in the Inner Mongolian desert steppe with four stocking rate treatments: no grazing, light, moderate, and heavy stocking rate grazing. We utilized stable carbon isotopes (δ13C) and nitrogen isotopes (δ15N) to analyze the trophic positions of three dominantgrasshopper species. Additionally, we assessed dietary diversity through high-throughput gut content DNA barcoding sequencing. Our results showed that moderate to heavy grazing significantly altered the isotopic ratios of grasshoppers, and affected their trophic niche and dietary preferences. The trophic niche of Oedaleus asiaticuswas the broadest under no grazing, whereas the trophic niche of Myrmeleotettix palpalis and Calliptamus abbreviatus increased with stocking rates. Dietary diversity decreased with stocking rates but then increased under heavy stocking rates, and was positively correlated with plant species richness, diversity, and biomass. These changes may affect the survival of grasshoppers and ecosystem functions. These findings highlight the impact of stocking rate on the dietary diversity of three grasshopper species and provide a new perspective for understanding how herbivorous insects respond to environmental changes.
DOI: 10.25574/30975
title: Chandra X-ray Observatory ObsId 30975

description: A TREASURY SURVEY PROBING THE BARYON & ENERGY CYCLE AND X-RAY BINARY EVOLUTION IN GALAXIES AT HIGH ANGULAR RESOLUTION
DOI: 10.15468/dl.vvu98k
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-5.10179 34.53308,3.08922 34.73125,4.4764 33.93857,19.33911 29.51278,33.27703 28.98433,37.63676 36.18449,26.73744 42.65802,21.45292 41.53506,14.12065 46.35719,2.56076 43.78099,-5.96052 36.64688,-5.10179 34.53308))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Alopias vulpinus (Bonnaterre, 1788)"
 ]
}

 The dataset includes 64 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068605-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h32bnx
title: Occurrence Download

description: A dataset containing 132 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is NZL",
 "TaxonKey is Charadrius obscurus J.F.Gmelin, 1789"
 ]
}

 The dataset includes 132 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068606-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15737235
title: Neutron-Induced Upsets and  Stuck Bits on COTS Pseudo-Static RAMs

description: This is the raw data used for the poster presented at the NSREC2025 with the title of "Neutron-Induced Upsets and Stuck Bits on COTS Pseudo-Static RAMs".The tests have been run at the ENEA center, Itlay. 

Each subfolder contains the data for one of the used memories.
DOI: 10.5281/zenodo.15737236
title: Neutron-Induced Upsets and  Stuck Bits on COTS Pseudo-Static RAMs

description: This is the raw data used for the poster presented at the NSREC2025 with the title of "Neutron-Induced Upsets and Stuck Bits on COTS Pseudo-Static RAMs".The tests have been run at the ENEA center, Itlay. 

Each subfolder contains the data for one of the used memories.
DOI: 10.15468/dl.kqs5e3
title: Occurrence Download

description: A dataset containing 1973 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Geometry POLYGON((10.08782 58.40004,12.48894 55.92098,15.69044 55.34006,18.09156 57.30502,18.7776 58.93514,22.32212 59.75131,28.49643 60.82789,31.92661 62.92879,30.32586 64.15129,29.63983 65.41753,29.06813 66.94093,30.21152 67.77713,28.03908 68.3326,28.72512 69.20207,32.61265 69.99905,32.1553 71.10283,25.1806 71.46967,14.89006 71.06577,6.88632 67.69049,3.68482 62.82453,2.08407 59.22888,2.99878 57.73482,5.9716 57.05714,10.08782 58.40004))",
 "HasGeospatialIssue is false",
 "TaxonKey is Gulo gulo (Linnaeus, 1758)",
 "Year is 2011"
 ]
}

 The dataset includes 1973 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068607-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/iogg6f
title: Hund flat band in a frustrated spinel oxide

description: Contains all experimental and theoretically simulated data used to generate the figures in the article
DOI: 10.15468/dl.gfx8jt
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is NZL",
 "TaxonKey is Coturnix novaezelandiae Quoy & Gaimard, 1832"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068608-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ujwy47
title: Occurrence Download

description: A dataset containing 992 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Linnaea borealis L.",
 "Geometry POLYGON((-8.00174339329464 54.1998526673513, 0.202120938926891 54.1998526673513, 0.202120938926891 61.2628565887411, -8.00174339329464 61.2628565887411, -8.00174339329464 54.1998526673513))",
 "CoordinateUncertaintyInMeters is 0,101",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 992 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068609-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15729101
title: stellar_evolution_tracks/Spada

description: Stellar evolution tracks for low mass stars (0.1-1.25 M_sun) based on PHOENIX models, from Spada et al., (2013).

Taken from: http://www.astro.yale.edu/demarque/yyiso.html
DOI: 10.15468/dl.w8727j
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-5.10179 34.53308,3.08922 34.73125,4.4764 33.93857,19.33911 29.51278,33.27703 28.98433,37.63676 36.18449,26.73744 42.65802,21.45292 41.53506,14.12065 46.35719,2.56076 43.78099,-5.96052 36.64688,-5.10179 34.53308))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Alopias vulpinus (Bonnaterre, 1788), Alopias superciliosus Lowe, 1841)"
 ]
}

 The dataset includes 74 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068610-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15729100
title: stellar_evolution_tracks/Spada

description: Stellar evolution tracks for low mass stars (0.1-1.25 M_sun) based on PHOENIX models, from Spada et al., (2013).

Taken from: http://www.astro.yale.edu/demarque/yyiso.html
DOI: 10.15468/22tg7j
title: Biagio Bartalini Historical Herbarium

description: This dataset contains digitized records from the historical Herbarium of Biagio Bartalini, preserved at the Museo di Storia Naturale Accademia dei Fisiocritici (MFS) in Siena. The Herbarium documents the flora of the Siena province and nearby areas during the 18th century, offering a valuable botanical and historical perspective.Original determinations by Bartalini are reported in the field verbatimIdentification. The currently accepted scientific names, based on modern taxonomic revision, are provided in the scientificName field. Geographical coordinates were not included in the GBIF dataset due to the high level of uncertainty regarding historical localities. Where possible, descriptive locality names were retained (locality field). The temporal coverage reflects the lifespan of Bartalini (1750–1822), although the specimens were most likely collected up until the end of the 18th century. Digital images of the Herbarium specimens are linked via the associatedMedia field.
DOI: 10.5285/3fcb9e23c9bf47bc8a9762c03e13ba0b
title: HadISDH.marine: gridded global monthly ocean surface humidity data version 1.6.1.2024f

description: This is the HadISDH.marine 1.6.1.2024f version of the Met Office Hadley Centre Integrated Surface Dataset of Humidity (HadISDH). HadISDH.marine is a near-global gridded monthly mean marine surface humidity climate monitoring product. It is created from in situ observations of air temperature and dew point temperature from ships. The observations have been quality controlled and bias-adjusted. Uncertainty estimates for observation issues and gridbox sampling are provided (see data quality statement section below). The data are provided by the Met Office Hadley Centre and this version spans 1/1/1973 to 31/12/2024.

The data are monthly gridded (5 degree by 5 degree) fields. Products are available for temperature and six humidity variables: specific humidity (q), relative humidity (RH), dew point temperature (Td), wet bulb temperature (Tw), vapour pressure (e), dew point depression (DPD).

This version extends the previous version to the end of 2024. Users are advised to read the update document in the Docs section for full details on all changes from the previous release.

To keep informed about updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS.

For more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISDH blog: http://hadisdh.blogspot.co.uk/

References:

When using the dataset in a paper please cite the following papers (see Docs for link
to the publications) and this dataset (using the "citable as" reference):

Willett, K. M., Dunn, R. J. H., Kennedy, J. J. and Berry, D. I., 2020: Development of
the HadISDH marine humidity climate monitoring dataset. Earth System Sciences Data,
12, 2853-2880, https://doi.org/10.5194/essd-12-2853-2020

Freeman, E., Woodruff, S. D., Worley, S. J., Lubker, S. J., Kent, E. C., Angel, W. E.,
Berry, D. I., Brohan, P., Eastman, R., Gates, L., Gloeden, W., Ji, Z., Lawrimore, J.,
Rayner, N. A., Rosenhagen, G. and Smith, S. R., ICOADS Release 3.0: A major update to
the historical marine climate record. International Journal of Climatology.
doi:10.1002/joc.4775.
DOI: 10.34810/data490
title: Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state [dataset]

description: This page data analyzed in the manuscript: Andrzejak RG, Lehnertz K, Rieke C, Mormann F, David P, Elger CE (2001) Indications of nonlinear deterministic and finite dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state, Phys. Rev. E, 64, 061907. If you use any of these resources, please make sure that you cite this reference. For more detailed information, please refer to https://www.upf.edu/web/ntsa/downloads
description: Text files (.txt). Files: For each set (A-E) there is a ZIP-file containing 100 TXT-files. Each TXT-file consists of 4096 samples of one EEG time series in ASCII code. SET A in file Z.zip containing Z000.txt - Z100.txt, SET B in file O.zip containing O000.txt - O100.txt, SET C in file N.zip containing N000.txt - N100.txt, SET D in file F.zip containing F000.txt - F100.txt, SET E in file S.zip containing S000.txt - S100.txt
DOI: 10.6084/m9.figshare.29382446
title: Risultati_Statistiche_Moxy.xlsx

description: Dataset on the effects of compression garments on muscle oxygen saturation (SmO₂) recovery in the biceps brachii, measured using near-infrared spectroscopy (NIRS) following maximal isometric contractions of the upper limbs.
DOI: 10.6084/m9.figshare.29382446.v2
title: Risultati_Statistiche_Moxy.xlsx

description: Dataset on the effects of compression garments on muscle oxygen saturation (SmO₂) recovery in the biceps brachii, measured using near-infrared spectroscopy (NIRS) following maximal isometric contractions of the upper limbs.
DOI: 10.6084/m9.figshare.29382446.v1
title: Risultati_Statistiche_Moxy.xlsx

description: Dataset on the effects of compression garments on muscle oxygen saturation (SmO₂) recovery in the biceps brachii, measured using near-infrared spectroscopy (NIRS) following maximal isometric contractions of the upper limbs.
DOI: 10.5281/zenodo.15737478
title: Abwassersurveillance AMELAG

description: Das Vorhaben "Abwassermonitoring für die epidemiologische Lagebewertung" (AMELAG) läuft vom 22.11.2022 bis zum 31.12.2025. Behörden, Kläranlagen und Labore arbeiten zusammen, um Proben zu nehmen, zu analysieren und zu bewerten. Das Ziel dieses Vorhabens ist es, SARS-CoV-2-Nachweise aus dem Abwasser als zusätzlichen Indikator zur epidemiologischen Lagebewertung auf Länder- und Bundesebene zu etablieren. Ebenso ist es das Ziel, Strukturen und Prozesse für ein bundesweites Netzwerk für die Abwassersurveillance weiter auszubauen, Konzepte für eine Verstetigung zu erstellen und die Möglichkeiten für ein Monitoring von weiteren Krankheitserregern im Abwasser zu erforschen.
Abwassersurveillance ist eine Technik, um Erreger im Abwasser nachzuweisen, um Gesundheitsschutzmaßnahmen besser steuern zu können. Abwasserdaten erlauben keine genaue Einschätzung von Krankheitsschwere oder der Belastung des Gesundheitssystems. Bei der epidemiologischen Bewertung sollten die Daten mit anderen Indikatoren, z.B. aus der syndromischen Surveillance, kombiniert werden.
DOI: 10.5281/zenodo.15727898
title: mass_radius/Zeng2019

description: Theoretical planetary mass-radius curves for a range of interior and atmospheric structures, from Zeng et al. (2019).

Taken from: https://lweb.cfa.harvard.edu/~lzeng/planetmodels.html#mrtables
DOI: 10.5281/zenodo.15727899
title: mass_radius/Zeng2019

description: Theoretical planetary mass-radius curves for a range of interior and atmospheric structures, from Zeng et al. (2019).

Taken from: https://lweb.cfa.harvard.edu/~lzeng/planetmodels.html#mrtables
DOI: 10.15468/dl.pnr48c
title: Occurrence Download

description: A dataset containing 992 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Linnaea borealis L.",
 "Geometry POLYGON((-8.00174339329464 54.1998526673513, 0.202120938926891 54.1998526673513, 0.202120938926891 61.2628565887411, -8.00174339329464 61.2628565887411, -8.00174339329464 54.1998526673513))",
 "CoordinateUncertaintyInMeters is 0,101",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 992 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068616-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17639/nott.7568
title: Combinatorial discovery of microtopographical landscapes that resist biofilm formation through quorum sensing mediated autolubrication

description: Data from the Nature Communications paper 10.1038/s41467-025-60567-x
DOI: 10.6084/m9.figshare.29400650
title: Dataset for the "contrail, or not contrail" paper

description: This folder contains the datasets associated with the paper: <b>Contrail, or not contrail, that is the question: the “feasibility” of climate-optimal routing</b>.All scripts and code are maintained separately at: https://github.com/junzis/contrail-or-notCheck the paper for more details: https://arxiv.org/abs/2504.13907OverviewThe datasets provided here support the analysis in the paper on optimizing flight trajectories to reduce contrail formation. The data include:Meteorological cost grids (ARPEGE and ERA5)Flight trajectory data (raw and processed)Aircraft databaseIntermediate data and summary statisticsContentsThe data directory is structured as follows:`arpege/`: Meteorological data (ARPEGE model)`cache/`: Intermediate or cached data used in occupancy calculation`eu_flights_2022feb20_raw.parquet.gz`: Raw flight data for the day`eu_flights_2022feb20_filter_resample_meteo.parquet.gz`: Processed flights from raw data, filtered, resampled, and aggregated with meteorological data`grid_arpege_smoothed.parquet.gz`: Smoothed ARPEGE meteorological grid`grid_era5_smoothed.parquet.gz`: Smoothed ERA5 meteorological grid`aircraft_db.csv`: Aircraft database with ICAO address, aircraft type code, registration, and operator`europe_acc.txt`: European airspace/airport information`stats_results.csv`: Summary statistics and resultsUsageFor code and scripts, please refer to the main project repository: https://github.com/junzis/contrail-or-notDownload the data files and store them in the `data` directory of the project