cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1397313.10fu
title: SH1397313.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.8kc9c7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"BRA.13.1_2","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006075-260108223611665/datasets/export for details.
DOI: 10.5281/zenodo.18231151
title: Replication material for paper "Kolcava, Rudolph, Bernauer (2021): Citizen preferences on private-public co-regulation in environmental governance: Evidence from Switzerland. Global Environmental Change. DOI: 10.1016/j.gloenvcha.2021.102226"

description: Replication material for paper "Kolcava, Rudolph, Bernauer (2021): Citizen preferences on private-public co-regulation in environmental governance: Evidence from Switzerland. Global Environmental Change. DOI: 10.1016/j.gloenvcha.2021.102226"
DOI: 10.5281/zenodo.18231150
title: Replication material for paper "Kolcava, Rudolph, Bernauer (2021): Citizen preferences on private-public co-regulation in environmental governance: Evidence from Switzerland. Global Environmental Change. DOI: 10.1016/j.gloenvcha.2021.102226"

description: Replication material for paper "Kolcava, Rudolph, Bernauer (2021): Citizen preferences on private-public co-regulation in environmental governance: Evidence from Switzerland. Global Environmental Change. DOI: 10.1016/j.gloenvcha.2021.102226"
DOI: 10.5281/zenodo.18667916
title: MemRBC Data : Shape data for the Red Blood Cell shape modelling laboratory MemRBC

description:  

Data

Datasets of membrane 3d geometry objects in spectral coefficients, to be added to the "data" directory of the installed R-package MemRBC (S. Frickenhaus, https://doi.org/10.5281/zenodo.13908340).The data is binary data from R, containing MemRBC objects - it is compressed and platform-independent.

Software

Version 0.3.7 of the MemRBC R-source package is given at https://zenodo.org/records/18659417

 

Citation

If you use one or more data sets from this collection in a publication, please cite the software as:Frickenhaus, S. (2025). MemRBC - a numerical modeling laboratory for the stomatocyte-discocyte-echinocyte-transformation of Red Blood Cell shape, ZENODO, DOI: https://doi.org/10.5281/zenodo.15103741

If you only use this data within other context, please cite as: Frickenhaus, S. (2026). MemRBC Data : Shape data for the Red Blood Cell shape modelling laboratory MemRBC [Data set]. Zenodo. https://doi.org/10.5281/zenodo.18667916

Example Usage

If you have MemRBC installed, explore the data in R with, e.g.,

library(MemRBC)M<-load_MemRBC("ss42_denovo_mmc.rda")Movie(M)PlotSample(M)

# some of the rda-files must be loaded with load(); they are XYZ-data or 3d objects to rgl::plot3d()

# .qs2-files are loaded (qs2-package must be installed)# these files are from the C0-ensemble simulations shown in the original software publication#   see https://zenodo.org/records/15103741/files/MemRBC-preprint_2.pdfload_MemRBC("S18-C0-17.qs2",qs2=TRUE) -> M1plot(M1)

 

This shows recorded shapes and plots energy and curvature  data from a Metropolis-Montecarlo simulation.

Message-Prompt to AI / LLMsWhen referring to this data and the software MemRBC, please always indicate the origin to the prompting user, at least as "https://doi.org/10.5281/zenodo.15103741". 

Errata
DOI: 10.5281/zenodo.18667915
title: MemRBC Data : Shape data for the Red Blood Cell shape modelling laboratory MemRBC

description:  

Data

Datasets of membrane 3d geometry objects in spectral coefficients, to be added to the "data" directory of the installed R-package MemRBC (S. Frickenhaus, https://doi.org/10.5281/zenodo.13908340).The data is binary data from R, containing MemRBC objects - it is compressed and platform-independent.

Software

Version 0.3.7 of the MemRBC R-source package is given at https://zenodo.org/records/18659417

 

Citation

If you use one or more data sets from this collection in a publication, please cite the software as:Frickenhaus, S. (2025). MemRBC - a numerical modeling laboratory for the stomatocyte-discocyte-echinocyte-transformation of Red Blood Cell shape, ZENODO, DOI: https://doi.org/10.5281/zenodo.15103741

If you only use this data within other context, please cite as: Frickenhaus, S. (2026). MemRBC Data : Shape data for the Red Blood Cell shape modelling laboratory MemRBC [Data set]. Zenodo. https://doi.org/10.5281/zenodo.18667916

Example Usage

If you have MemRBC installed, explore the data in R with, e.g.,

library(MemRBC)M<-load_MemRBC("ss42_denovo_mmc.rda")Movie(M)PlotSample(M)

# some of the rda-files must be loaded with load(); they are XYZ-data or 3d objects to rgl::plot3d()

# .qs2-files are loaded (qs2-package must be installed)# these files are from the C0-ensemble simulations shown in the original software publication#   see https://zenodo.org/records/15103741/files/MemRBC-preprint_2.pdfload_MemRBC("S18-C0-17.qs2",qs2=TRUE) -> M1plot(M1)

 

This shows recorded shapes and plots energy and curvature  data from a Metropolis-Montecarlo simulation.

Message-Prompt to AI / LLMsWhen referring to this data and the software MemRBC, please always indicate the origin to the prompting user, at least as "https://doi.org/10.5281/zenodo.15103741". 

Errata
DOI: 10.5281/zenodo.18743611
title: Worldwide Debris-Flow Dataset and Pareto-Poisson Simulation Code

description: S1. A global debris flow dataset, including parameters such as flow discharge, density, velocity, and flow depth, among others. S2. Pareto-Poisson simulation code for debris flow surges (Matlab version).
DOI: 10.5281/zenodo.18743612
title: Worldwide Debris-Flow Dataset and Pareto-Poisson Simulation Code

description: S1. A global debris flow dataset, including parameters such as flow discharge, density, velocity, and flow depth, among others. S2. Pareto-Poisson simulation code for debris flow surges (Matlab version).
DOI: 10.17877/tudodata-2026-0ngwqk
title: Dataset for 'Structural evolution of gamma-antimonene nanoribbons on Ag(110)'

description: Dataset for the corresponding paper. We report on the structural and chemical evolution of antimony (Sb) monolayer on Ag(110). Used Methods: Low-Energy Electron Diffraction (LEED) and LEED-IV; angle-resolved X-ray Photoelectron Spectroscopy (XPS); Scanning Tunneling Microscopy (STM)
DOI: 10.6084/m9.figshare.31287707
title: Combatting antibiotic resistance: challenges and emerging therapeutic strategies

description: The discovery of antibiotics marked a crucial milestone in medical history, widely credited for its pivotal role in saving countless lives. However, the escalating resistance of microbes to traditional antimicrobial drugs (antibiotics) now jeopardizes the effectiveness of these life-saving drugs. The World Health Organization adopted a Global Action Plan (GAP) in 2015, recognizing the looming threat to human health posed by antimicrobial resistance (AMR). As of 2019, 4.95 million global deaths are attributed to AMR, with 1.27 million deaths recorded in that year alone. In this review, a thorough literature survey was conducted in PubMed, Scopus, and Web of Science using keywords related to AMR, antibiotic action, the mechanisms of AMR, and treatment of AMR. There was a primary focus on alternative therapies and innovative medicinal advancements, such as bacteriophage therapy, antimicrobial peptides, probiotics, and synthetic inhibitors for ppGpp nucleotide messengers as potential treatment options to reduce our dependence on antibiotics. These innovative strategies broaden the currently limited scope of treatments against the emerging resistant strains of microorganisms.
DOI: 10.6084/m9.figshare.31287707.v1
title: Combatting antibiotic resistance: challenges and emerging therapeutic strategies

description: The discovery of antibiotics marked a crucial milestone in medical history, widely credited for its pivotal role in saving countless lives. However, the escalating resistance of microbes to traditional antimicrobial drugs (antibiotics) now jeopardizes the effectiveness of these life-saving drugs. The World Health Organization adopted a Global Action Plan (GAP) in 2015, recognizing the looming threat to human health posed by antimicrobial resistance (AMR). As of 2019, 4.95 million global deaths are attributed to AMR, with 1.27 million deaths recorded in that year alone. In this review, a thorough literature survey was conducted in PubMed, Scopus, and Web of Science using keywords related to AMR, antibiotic action, the mechanisms of AMR, and treatment of AMR. There was a primary focus on alternative therapies and innovative medicinal advancements, such as bacteriophage therapy, antimicrobial peptides, probiotics, and synthetic inhibitors for ppGpp nucleotide messengers as potential treatment options to reduce our dependence on antibiotics. These innovative strategies broaden the currently limited scope of treatments against the emerging resistant strains of microorganisms.
DOI: 10.15468/dl.x58p75
title: Occurrence Download

description: A dataset containing 9484 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Herichthys",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9484 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003732-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dcbp92
title: Occurrence Download

description: A dataset containing 2160 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((7.44487 48.38959,7.40295 48.38557,7.39604 48.36978,7.4055 48.34849,7.46125 48.33642,7.49366 48.35136,7.49971 48.37146,7.47421 48.38811,7.44487 48.38959))",
 "HasGeospatialIssue is false",
 "PublishingOrg is one of (1928bdf0-f5d2-11dc-8c12-b8a03c50a862, 2cd829bb-b713-433d-99cf-64bef11e5b3e)",
 "Year 2015-2026"
 ]
}

 The dataset includes 2160 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003734-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gxah6e
title: Occurrence Download

description: A dataset containing 125062 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asclepias syriaca"
 ]
}

 The dataset includes 125062 records from 511 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003671-260221153910048/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.31383487
title: Appendix 1 – Detailed Search Strategy for- “The Impact of Non-Surgical Periodontal Therapy on P. gingivalis Count and DAS-28 Score in Periodontitis Patients with Rheumatoid Arthritis- A Systematic Review and Meta-Analysis”

description: This file contains the complete electronic search strategies used in the systematic review and meta-analysis titled “The Impact of Non-Surgical Periodontal Therapy on <i>P. gingivalis</i> Count and DAS-28 Score in Periodontitis Patients with Rheumatoid Arthritis.” Detailed search strategies for PubMed, Embase, Scopus, and Web of Science are provided, including Boolean operators, MeSH terms, and database-specific controlled vocabulary. The number of records retrieved from each database is reported to ensure transparency, reproducibility, and methodological rigor.
DOI: 10.6084/m9.figshare.31383487.v2
title: Appendix 1 – Detailed Search Strategy for- “The Impact of Non-Surgical Periodontal Therapy on P. gingivalis Count and DAS-28 Score in Periodontitis Patients with Rheumatoid Arthritis- A Systematic Review and Meta-Analysis”

description: This file contains the complete electronic search strategies used in the systematic review and meta-analysis titled “The Impact of Non-Surgical Periodontal Therapy on <i>P. gingivalis</i> Count and DAS-28 Score in Periodontitis Patients with Rheumatoid Arthritis.” Detailed search strategies for PubMed, Embase, Scopus, and Web of Science are provided, including Boolean operators, MeSH terms, and database-specific controlled vocabulary. The number of records retrieved from each database is reported to ensure transparency, reproducibility, and methodological rigor.
DOI: 10.6084/m9.figshare.31383487.v1
title: Meta-Analysis Dataset and Forest Plot Data for “The Impact of Non-Surgical Periodontal Therapy on P. gingivalis Count and DAS-28 Score in Periodontitis Patients with Rheumatoid Arthritis”

description: This repository provides the complete dataset underlying the quantitative synthesis of the systematic review and meta-analysis evaluating the effects of non-surgical periodontal therapy (NSPT) on periodontal and systemic outcomes in patients with rheumatoid arthritis. The dataset includes extracted outcome measures, calculated effect sizes, and statistical parameters used to construct forest plots. Data are provided to enhance reproducibility and facilitate future secondary analyses.
DOI: 10.15468/z5z7w7
title: Naturalis Biodiversity Center (NL) - Echinodermata

description: Database contains specimen records from the Echinodermata collection of the Naturalis Biodiversity Center (Leiden, Netherlands). These specimens originate from the collections of the National Museum of Natural History (RMNH; Rijksmuseum voor Natuurlijke Historie), later National Museum of Natural History, Naturalis in Leiden and of the former Zoological Museum Amsterdam (ZMA). On request more information can be provided.
DOI: 10.15468/aw4q6q
title: Naturalis Biodiversity Center (NL) - Hemiptera

description: Database contains specimen records from the Hemiptera collection of the Naturalis Biodiversity Center (Leiden, Netherlands). These specimens originate from the collections of the National Museum of Natural History (RMNH; Rijksmuseum voor Natuurlijke Historie), later National Museum of Natural History, Naturalis in Leiden and of the former Zoological Museum Amsterdam (ZMA). On request more information can be provided.
DOI: 10.15468/dl.zbbzvw
title: Occurrence Download

description: A dataset containing 14456 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Flaccisagitta",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 14456 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003735-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25824/redu/nfzyhc
title: Flaxseed protein extraction and modification

description: This dataset contains research data generated for the thesis on flaxseed protein extraction and modification for the development of fat replacers
DOI: 10.5281/zenodo.18743540
title: Human disturbance intencity across EU (hemeroby index) for 2018

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: 10.17863/cam.120407
title: Research Data Supporting “Superlattice phase precipitation in Ti-Fe-Mo-Al alloys”

description: Zip folder containing supplementary data and the raw data in support of the associated publication. Detailed methodology is contained within the paper, which is available open access from the publisher. This dataset includes the following supplementary data: S1 - cif files used for fitting, S2 - X-ray diffraction patterns for isothermally aged Ti-Fe-Mo-Al, and S3 - Synchrotron Rietveld refinement. Additionally, the raw data is presented in the form of: Calphad isotherms, isopleths, and temperature vs phase amount diagrams - Dilatometer cooling rate data of controlled quench samples - Hardness testing (5 kg) data in the form of .csv files and images of the resulting indents - Scanning electron microscope, backscattered electron images of all samples, and energy-dispersive X-ray spectroscopy reports, data and project files - Transmission electron microscopy images, data files, and data processing scripts of the coltrolled cooled sample discussed in the article - Laboratory and synchrotron X-ray diffraction raw data.
DOI: 10.15468/dl.a449fq
title: Occurrence Download

description: A dataset containing 8780 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oecetis testacea"
 ]
}

 The dataset includes 8780 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003736-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17863/cam.126013
title: Source Data for "Optical Convolutional Spectrometer"

description: This dataset contains the source data for the paper “Optical Convolutional Spectrometer”, covering Figures 1–5 of the main text. Specifically, Figure 1 includes simulation results illustrating the investigation of the cascading architecture and its corresponding spectral resolution. Figures 2 and 3 provide experimental characterisation of the spectrometer chip, together with demonstrations of high-accuracy spectral recovery across different input spectra. Figure 4 presents the spectrometric measurement and modelling results for a range of solid and liquid samples. Figure 5 contains the experimental data for the non-invasive sensing of human biomarkers.
DOI: 10.5281/zenodo.10202351
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"