cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13160149
title: Data for J-PLUS: Beyond spectroscopy III. Stellar parameters and elemental-abundance ratios for five million stars from DR3

description: The table contains stellar atmospehric parameters (Teff, logg, [Fe/H]), luminosity classification, element abundance ratios ([C/Fe], [Mg/Fe] and [alpha/Fe]), distance and age for over five million stars derived using J-PLUS DR3 + Gaia EDR3.
It includes the following parameters:
ra: Right Ascension from J-PLUS DR3 (J2000)
dec: Declination from J-PLUS DR3 (J2000)
gl: Galactic longitude derived from ICRS coordinates
gb: Galactic latitude derived from ICRS coordinates
mag[12]: Magnitudes of J-PLUS twelve bands (r, g, i, z, u, J0378, J0395,  J0410, J0430, J0515, J0660, J0861)
err_mag[12]&Uncertainties of magnitudes of J-PLUS twelve bands (r, g, i, z, u, J0378, J0395,  J0410, J0430, J0515, J0660, J0861)
gp1/rp1/ip1: Magnitudes from Pan-STARRS1
err_gp1/rp1/ip1: Uncertainties of magnitudes from Pan-STARRS1
G/BP/RP: Magnitudes for the Gaia three bands from EDR3; note G represents a calibration-corrected G magnitude
err_G/BP/RP: Uncertainties of magnitudes for the three Gaia bands from EDR3
ebv_sfd: Value of E(B - V) from the extinction map of SFD98, corrected for a 14% systematic
[Fe/H]: Photometric metallicity
err_[Fe/H]: Uncertainty of photometric metallicity
flg_[Fe/H]: Quality flag of [Fe/H]
[C/Fe]: Photometric carbon-to-iron abundance ratio
err_[C/Fe]:Uncertainty of photometric carbon-to-iron abundance ratio
flg_[C/Fe]: Quality flag of [C/Fe]
[Mg/Fe]: Photometric magnesium-to-iron abundance ratio
err_[Mg/Fe]: Uncertainty of photometric magnesium-to-iron abundance ratio
flg_[Mg/Fe]: Quality flag of [Mg/Fe]
[alpha/Fe]: Photometric alpha-to-iron abundance ratio
err_[alpha/Fe]: Uncertainty of photometric alpha-to-iron abundance ratio
flg_[alpha/Fe]: Quality flag of [alpha/Fe]
Teff: Effective temperature
err_Teff: Uncertainty of effective temperature
logg: Surface gravity
err_logg: Uncertainty of surface gravity
dist: Distance 
err_dist: Uncertainty of distance
flg_dist: Flag to indicate the method used to derive distance, which takes the values ``parallax", ``CMF", and ``NO"
age: Stellar age
err_age: Uncertainty of stellar age
rv: Radial velocity
err_rv: Uncertainty of radial velocity
flg_rv: Flag to indicate the source of radial velocity, which takes the values ``GALAH", ``APOGEE'', ``Gaia",``RAVE", ``LAMOST", ``SEGUE"
parallax: Parallax from {it Gaia} EDR3
err_parallax: Uncertainty of parallax from {it Gaia} EDR3
pmra: Proper motion in Right Ascension direction from Gaia EDR3
err_pmra: Uncertainty of proper motion in Right Ascension direction from Gaia EDR3
pmdec: Proper motion in Declination direction  from Gaia EDR3
err_pmdec&Uncertainty of proper motion in Declination direction from Gaia EDR3
ruwe: Renormalised unit weight error from Gaia EDR3
type: Flag to indicate classifications of stars, which takes the values ``dwarf" and ``giant" 
subtype: Flag to indicate further sub-classifications of dwarf stars, which takes the values  ``TO", ``MS" and ``Binary"
DOI: 10.6084/m9.figshare.29958461
title: PDSXray

description: DSXray is a high-quality benchmark dataset dedicated to <b>X-ray object detection under physical domain shift (PDS) scenarios</b>. It aims to address the generalization performance degradation of models caused by physical factors such as device differences, environmental changes, and target morphological transformations in security inspection, medical imaging, and other fields.<br>The dataset features a carefully designed multi-source domain structure that systematically isolates endogenous domain shifts (EDS, e.g., background or texture variations) from physical domain shifts (PDS, e.g., changes in object angle, scale, occlusion, or imaging device parameters). It comprises two core subsets: a synthetic scenario subset (\texttt{PDS-EDS-Synthetic}) and a real-world scenario subset (\texttt{PDS-Aggregated}). The real-world subset integrates authentic security X-ray images from sources like KDXray, CLCXray, and PIDray, covering over 10 high-priority target categories such as knives, lighters, power banks, and liquid containers, with annotations including precise bounding boxes and class labels to support fine-grained performance analysis.<br>PDSXray not only provides a standardized evaluation benchmark for quantifying the impact of domain shifts but also reveals the sensitivity of different models and object categories to physical domain shifts through multi-dimensional baseline experiments (e.g., performance comparisons of YOLO-series models). It serves as a reliable tool for developing and validating domain adaptation and robust detection algorithms, ultimately enhancing the practical value of X-ray object detection in complex real-world scenarios.
DOI: 10.6084/m9.figshare.29958461.v1
title: PDSXray

description: DSXray is a high-quality benchmark dataset dedicated to <b>X-ray object detection under physical domain shift (PDS) scenarios</b>. It aims to address the generalization performance degradation of models caused by physical factors such as device differences, environmental changes, and target morphological transformations in security inspection, medical imaging, and other fields.<br>The dataset features a carefully designed multi-source domain structure that systematically isolates endogenous domain shifts (EDS, e.g., background or texture variations) from physical domain shifts (PDS, e.g., changes in object angle, scale, occlusion, or imaging device parameters). It comprises two core subsets: a synthetic scenario subset (\texttt{PDS-EDS-Synthetic}) and a real-world scenario subset (\texttt{PDS-Aggregated}). The real-world subset integrates authentic security X-ray images from sources like KDXray, CLCXray, and PIDray, covering over 10 high-priority target categories such as knives, lighters, power banks, and liquid containers, with annotations including precise bounding boxes and class labels to support fine-grained performance analysis.<br>PDSXray not only provides a standardized evaluation benchmark for quantifying the impact of domain shifts but also reveals the sensitivity of different models and object categories to physical domain shifts through multi-dimensional baseline experiments (e.g., performance comparisons of YOLO-series models). It serves as a reliable tool for developing and validating domain adaptation and robust detection algorithms, ultimately enhancing the practical value of X-ray object detection in complex real-world scenarios.
DOI: 10.15468/dl.s74sk7
title: Occurrence Download

description: A dataset containing 1174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Arrojadoa rhodantha, Arrojadoa penicillata, Arrojadoa dinae, Arrojadoa albiflora, Arrojadoa olsthoorniana, Arrojadoa multiflora, Arrojadoa, Arrojadoa marylaniae, Arrojadoa leucostele, Arrojadoa bahiensis)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1174 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003739-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8pfwe9
title: Occurrence Download

description: A dataset containing 5141 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aphanius",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5141 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003738-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48544/72e0ba0b-4063-43a6-b81b-e5be92359c37
title: Onderzoeksrapport 'Genderneutrale formulering van wetgeving'
DOI: 10.15468/dl.84zrrk
title: Occurrence Download

description: A dataset containing 763 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Caracterización de flora y fauna del Parque Nacional Natural Chingaza"
 ]
}

 The dataset includes 763 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003741-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v8mfgs
title: Occurrence Download

description: A dataset containing 1151 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Chrysocyon"
 ]
}

 The dataset includes 1151 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003743-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9jnxm5
title: Occurrence Download

description: A dataset containing 10041 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paratendipes",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 10041 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003742-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rxg2dt
title: Occurrence Download

description: A dataset containing 1947 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Setodes argentipunctellus"
 ]
}

 The dataset includes 1947 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003740-260221153910048/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.31389916
title: An Intervention Model for Children with Mild Developmental Delay Using Multi-Stakeholder Co-Design Study and Australia-Wide Survey

description: To co-design an intervention model for 4-year-old children with mild developmental delay, in particular, mild motor delay, in the childcare setting. An exploratory sequential mixed-methods design <i>via</i> a three-stage co-design approach was used with qualitative and quantitative methods of data collection and analysis. Stage 1: a rapid literature review and collaborating with educators, parents, and physical therapists, to identify considerations and preferences for an intervention model. Stage 2: a national cross-sectional online survey collected feedback on intervention from a wider national sample of educators, physical therapists and parents/carers. Stage 3: survey feedback allowed development of the final intervention model. Studies evaluating interventions on non-typically developing 4-year-old children with mild motor delay in the childcare setting varied. Seventy stakeholders completed the survey most of whom were physical therapists (<i>n</i> = 57). Stakeholders preferred: a combined treatment approach by multiple professionals within the childcare setting using existing equipment, an intervention to include all children, to alternate between individual and group-based, and to be frequent (30 min, 2–3 times per week, 8–10 weeks long). This co-designed intervention model involves a combined approach, two-to-three 30-min group and individual-based sessions per week over 8-to-10 weeks delivered by health professionals and educators.
DOI: 10.6084/m9.figshare.31389916.v1
title: An Intervention Model for Children with Mild Developmental Delay Using Multi-Stakeholder Co-Design Study and Australia-Wide Survey

description: To co-design an intervention model for 4-year-old children with mild developmental delay, in particular, mild motor delay, in the childcare setting. An exploratory sequential mixed-methods design <i>via</i> a three-stage co-design approach was used with qualitative and quantitative methods of data collection and analysis. Stage 1: a rapid literature review and collaborating with educators, parents, and physical therapists, to identify considerations and preferences for an intervention model. Stage 2: a national cross-sectional online survey collected feedback on intervention from a wider national sample of educators, physical therapists and parents/carers. Stage 3: survey feedback allowed development of the final intervention model. Studies evaluating interventions on non-typically developing 4-year-old children with mild motor delay in the childcare setting varied. Seventy stakeholders completed the survey most of whom were physical therapists (<i>n</i> = 57). Stakeholders preferred: a combined treatment approach by multiple professionals within the childcare setting using existing equipment, an intervention to include all children, to alternate between individual and group-based, and to be frequent (30 min, 2–3 times per week, 8–10 weeks long). This co-designed intervention model involves a combined approach, two-to-three 30-min group and individual-based sessions per week over 8-to-10 weeks delivered by health professionals and educators.
DOI: 10.5281/zenodo.18709822
title: Elucidation of IgG oligomer mediated Fc receptor clustering

description: Dataset for Austrian Science Fund FWF grant P33958 (DOI: 10.55776/P33958) - Elucidation of IgG oligomer mediated Fc receptor clustering, awarded to PD Dr. Johannes Preiner (University of Applied Sciences Upper Austria (FH OÖ), Linz, Austria).

Data files are archived according to the technique used to generate them.
DOI: 10.5281/zenodo.18709823
title: Elucidation of IgG oligomer mediated Fc receptor clustering

description: Dataset for Austrian Science Fund FWF grant P33958 (DOI: 10.55776/P33958) - Elucidation of IgG oligomer mediated Fc receptor clustering, awarded to PD Dr. Johannes Preiner (University of Applied Sciences Upper Austria (FH OÖ), Linz, Austria).

Data files are archived according to the technique used to generate them.
DOI: 10.15468/dl.79a3p6
title: Occurrence Download

description: A dataset containing 11485 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cymatia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 11485 records from 176 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003744-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48580/dgwqc.v4
title: At the boundary of two biogeographical realms: Palearctic and Oriental leeches (Hirudinea, Glossiphoniidae) of the Ferghana Valley, Uzbekistan
DOI: 10.5281/zenodo.18743659
title: Human disturbance intensity in 2018 in Europe (hemeroby index)

description: The hemeroby concept provides a theoretically grounded framework for measuring human disturbance intensity (Paracchini & Capitani, 2011). Unlike arbitrary weight assignments, hemeroby measures "the magnitude of deviation from potential natural vegetation caused by human activities," offering a scientifically robust alternative to structural land cover classifications. European applications of hemeroby have demonstrated its ability in distinguishing rural management intensities. Paracchini & Capitani (2011) developed a comprehensive hemeroby classification for EU agricultural landscapes, incorporating nitrogen input and livestock density as intensity modifiers. This approach addresses the fundamental limitation of CORINE-based systems by integrating actual management practices rather than relying solely on structural characteristics. The hemeroby scale's seven-class gradient from ahemerobic (natural) to metahemerobic (artificial) provides the theoretical foundation missing from arbitrary weight systems. Recent applications across European contexts have validated its effectiveness for rural classification, with studies in Germany, Austria, and Portugal demonstrating strong correlations between hemeroby values and biodiversity indicators (Walz & Stein, 2014).
DOI: 10.5281/zenodo.18743660
title: Human disturbance intensity in 2018 in Europe (hemeroby index)

description: The hemeroby concept provides a theoretically grounded framework for measuring human disturbance intensity (Paracchini & Capitani, 2011). Unlike arbitrary weight assignments, hemeroby measures "the magnitude of deviation from potential natural vegetation caused by human activities," offering a scientifically robust alternative to structural land cover classifications. European applications of hemeroby have demonstrated its ability in distinguishing rural management intensities. Paracchini & Capitani (2011) developed a comprehensive hemeroby classification for EU agricultural landscapes, incorporating nitrogen input and livestock density as intensity modifiers. This approach addresses the fundamental limitation of CORINE-based systems by integrating actual management practices rather than relying solely on structural characteristics. The hemeroby scale's seven-class gradient from ahemerobic (natural) to metahemerobic (artificial) provides the theoretical foundation missing from arbitrary weight systems. Recent applications across European contexts have validated its effectiveness for rural classification, with studies in Germany, Austria, and Portugal demonstrating strong correlations between hemeroby values and biodiversity indicators (Walz & Stein, 2014).
DOI: 10.15468/dl.ust2fb
title: Occurrence Download

description: A dataset containing 13943 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Connochaetes taurinus"
 ]
}

 The dataset includes 13943 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003746-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yuyg4r
title: Occurrence Download

description: A dataset containing 6295 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Armigeres",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6295 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003747-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/cip8fl
title: Replication Data for: Employee Demographic Diversity and Firm Performance

description: This paper examines the relationship between employee demographic diversity and
firm performance measured by future stock returns for a large sample of U.S. public
companies. We use novel demographic data extracted from employees’ online profiles
and resumes and focus on three key aspects of employee demographic diversity: age,
gender, and ethnicity. We find no evidence supportive of an outperformance associated
with greater employee-diverse companies, neither using portfolio-sorting approaches
nor cross-sectional and panel regressions. We also find no significant associations between employee demographic diversity and ROE, gross profit, and labor productivity.
description: This is the replication package for "Employee demographic diversity and firm performance" by Bart Frijns, Alexandre Garel, and Shushu Liao. This file includes the data folder and stata code that can be used to produce all results in the tables. Sensitive information in the dataset has been masked.
DOI: 10.15468/dl.bjq9fg
title: Occurrence Download

description: A dataset containing 26525 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.767990333437643 46.26820445379287, 5.751347937721566 46.26591842826243, 5.743929292346821 46.26684358007052, 5.733356564746289 46.26377413723734, 5.736790192170469 46.26367179400044, 5.739979849704349 46.260693756260416, 5.744035672824074 46.253907736115174, 5.750202168311061 46.248723923007155, 5.750443913162112 46.24534013133897, 5.762251794971283 46.242667212614265, 5.767970323659044 46.23754189232051, 5.77141628593388 46.237587734662824, 5.774130823555497 46.24011294498864, 5.779562043182299 46.24160853952695, 5.779702949411966 46.240444558860354, 5.784843156410419 46.2417550948457, 5.795559840065025 46.23555705293605, 5.799396421715495 46.23585374785026, 5.808078771475752 46.24083068143182, 5.816766372804362 46.240651933047516, 5.826056352685559 46.242961594359045, 5.82514050310004 46.24642998346981, 5.829899352240403 46.254275258381966, 5.827177259645588 46.25712719266309, 5.826245698352314 46.26180428791419, 5.767990333437643 46.26820445379287))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 26525 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003745-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34810/data2993
title: Replication data for: Association between nursing students’ knowledge, attitudes, and practices regarding advance care planning and their person-centred care orientation in critical health situations

description: This dataset contains data from an observational study conducted among undergraduate nursing students at a public university in Spain during the 2025–2026 academic year. Data were collected to examine the association between students’ knowledge, attitudes, and practices regarding Advance Care Planning, including Planning Anticipated Decisions and Advance Directives, and their person-centred care orientation in critical health situations. The dataset includes self-administered questionnaire responses covering sociodemographic characteristics and validated scale measures, specifically the PROPAD-pro scale and the Patient–Practitioner Orientation Scale (PPOS). Variables are mainly categorical and ordinal, including Likert-scale items. All data were anonymised, contain no direct identifiers, and were collected using an online questionnaire platform.
DOI: 10.15468/dl.vwgqtn
title: Occurrence Download

description: A dataset containing 905 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Setodes punctatus"
 ]
}

 The dataset includes 905 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003749-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/e5tf1n
title: Komunikacja między komórkami prawidłowymi i nowotworowymi przy udziale zewnątrzkomórkowych pęcherzyków błonowych

description: Jakościowa analiza pęcherzyków błonowych
DOI: 10.15468/dl.jqk22h
title: Occurrence Download

description: A dataset containing 10081 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eira barbara"
 ]
}

 The dataset includes 10081 records from 437 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003748-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/f8w-427-t2x
title: Peplonia adnata (E. Fourn.) U. C. S. Silva & Rapini

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/c7r-c33-k4w
title: Asarum europaeum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/lqx-s78-r11
title: Silene vulgaris (Moench) Garcke

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/x9j-k61-fyc
title: Silene glareosa subsp. prostrata (Gaudin) Guarino & Pignatti

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/9kl-ra0-m6n
title: Silene glareosa subsp. prostrata (Gaudin) Guarino & Pignatti

description: Digital Specimen for the physical specimen hosted at University of Graz.