cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/4wx-12f-5av
title: Orthiopteris Copel.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/j3l-lyf-n8f
title: Polyptychites

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/h19-qrq-90g
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/k6r-n5x-2n4
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kaw-bt7-rrv
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zbr-fm4-6px
title: †Miogypsina Sacco, 1893

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9mx-f7b-ys1
title: Orthiopteris Copel.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ymy-lqx-6kx
title: Discoporella umbellata (Defrance, 1823)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kk9-8me-nws
title: Gen. indet. sp. indet.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jxy-l6t-n53
title: Dryopteris Adans.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lxe-513-yyb
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2jc-yv5-yhs
title: Scrupocellaria van Beneden, 1845

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/59j-glm-tm8
title: Fenestrulina malusii (Audouin, 1826)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/c94-5v5-pzt
title: †Dittosaria Busk, 1866

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rmz-q0a-e72
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15156/bio/sh1378154.10fu
title: SH1378154.10FU

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: 10.15156/bio/sh1378155.10fu
title: SH1378155.10FU

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: 10.15156/bio/sh1378157.10fu
title: SH1378157.10FU

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: 10.15156/bio/sh1378160.10fu
title: SH1378160.10FU

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: 10.15156/bio/sh1378163.10fu
title: SH1378163.10FU

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: 10.15156/bio/sh1378165.10fu
title: SH1378165.10FU

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: 10.15156/bio/sh1378168.10fu
title: SH1378168.10FU

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: 10.15156/bio/sh1378177.10fu
title: SH1378177.10FU

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: 10.15156/bio/sh1378179.10fu
title: SH1378179.10FU

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.9trwqk
title: Occurrence Download

description: A dataset listing the 75 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Benthos_AB202_UNIS_2025"
 ]
}

 The dataset's 75 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008473-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11629558
title: Poverty_africa_annual
DOI: 10.5281/zenodo.11639051
title: Dataset for the Huntingtin antibody screening study

description: This antibody characterization dataset is related to the F1000 research article openly available at F1000Research.

This dataset contains underlying data from a study that evaluated twenty commercial antibodies agaisnt Huntingtin in western blot, immunoprecipitation and immunofluorescence. The study is accessible on our Zenodo community (https://doi.org/10.5281/zenodo.11582780) and serves as a research tool to facilitate reproducible and reliable Huntingtin resarch.

The Dataset is in the format of a zip file. Once downloaded, please expand the zip file to access the folders containing the underlying data for Western blot (Wb), immunoprecipitation (IP) and immunofluorescence (IF).
DOI: 10.5281/zenodo.11639052
title: Dataset for the Huntingtin antibody screening study

description: This antibody characterization dataset is related to the F1000 research article openly available at F1000Research.

This dataset contains underlying data from a study that evaluated twenty commercial antibodies agaisnt Huntingtin in western blot, immunoprecipitation and immunofluorescence. The study is accessible on our Zenodo community (https://doi.org/10.5281/zenodo.11582780) and serves as a research tool to facilitate reproducible and reliable Huntingtin resarch.

The Dataset is in the format of a zip file. Once downloaded, please expand the zip file to access the folders containing the underlying data for Western blot (Wb), immunoprecipitation (IP) and immunofluorescence (IF).
DOI: 10.5281/zenodo.11354072
title: Diel niche of sympatric small mammals revealed by year-round camera trapping

description: Data and scripts to reproduce results presented in the research article manuscript.
DOI: 10.5281/zenodo.11354073
title: Diel niche of sympatric small mammals revealed by year-round camera trapping

description: Data and scripts to reproduce results presented in the research article manuscript.
DOI: 10.5281/zenodo.15305577
title: Diel niche of sympatric small mammals revealed by year-round camera trapping

description: Data and scripts to reproduce results presented in the research article manuscript.
DOI: 10.5281/zenodo.15305599
title: Diel niche of sympatric small mammals revealed by year-round camera trapping

description: Data and scripts to reproduce results presented in the research article manuscript.
DOI: 10.5281/zenodo.15312161
title: Diel niche of sympatric small mammals revealed by year-round camera trapping

description: Data and scripts to reproduce results presented in the research article manuscript.
DOI: 10.5281/zenodo.15312178
title: Diel niche of sympatric small mammals revealed by year-round camera trapping

description: Data and scripts to reproduce results presented in the research article manuscript.
DOI: 10.15468/dl.mf4g8r
title: Occurrence Download

description: A dataset containing 2962909 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Insecta",
 "Year is 2018",
 "Month is July"
 ]
}

 The dataset includes 2962909 records from 1867 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008469-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17182/hepdata.153487.v1/t19
title: "Table 7.3" of "The azimuthal correlation between the leading jet and the scattered lepton in deep inelastic scattering at HERA"

description: <b>Note: in the paper, uncertainties are given in relative terms. The HEPData table contains absolute numbers. The original data file, containing relative uncertainties as in the paper, is available via the 'Resources' button above.</b>

Differential cross sections, $d\sigma/d\Delta\phi$, in the $Q^{2}$ region of $100 \;\mathrm{GeV}^{2} &lt; Q^{2} &lt; 350 \;\mathrm{GeV}^{2}$ for $N_{jet} \geq 3$, as obtained from the data, ARIADNE MC simulations, and perturbative calculations at $\mathcal{O}(\alpha_{s})$ and $\mathcal{O}(\alpha_{s}^{2})$ accuracy. Other details are as in the caption to Table 1.
description: The azimuthal correlation angle, $\Delta\phi$, between the scattered lepton and the leading jet in deep inelastic $e^{\pm}p$ scattering at HERA has been studied using data collected with the ZEUS detector at a centre-of-mass energy of $\sqrt{s} = 318 \;\mathrm{GeV}$, corresponding to an integrated luminosity of $326 \;\mathrm{pb}^{-1}$.A measurement of jet cross sections in the laboratory frame was made in a fiducial region corresponding to photon virtuality $10 \;\mathrm{GeV}^{2} &lt; Q^{2} &lt; 350 \;\mathrm{GeV}^{2}$, inelasticity $0.04 &lt; y &lt; 0.7$, outgoing lepton energy $E_e &gt; 10 \;\mathrm{GeV}$, lepton polar angle $140^\circ &lt; \theta_e &lt; 180^\circ$, jet transverse momentum $2.5 \;\mathrm{GeV} &lt; p_\mathrm{T,jet} &lt; 30 \;\mathrm{GeV}$, and jet pseudorapidity $-1.5 &lt; \eta_\mathrm{jet} &lt; 1.8$.Jets were reconstructed using the $k_\mathrm{T}$ algorithm with the radius parameter $R = 1$.The leading jet in an event is defined as the jet that carries the highest $p_\mathrm{T,jet}$.Differential cross sections, $d\sigma/d\Delta\phi$, were measured as a function of the azimuthal correlation angle in various ranges of leading-jet transverse momentum, photon virtuality and jet multiplicity.Perturbative calculations at $\mathcal{O}(\alpha_{s}^2)$ accuracy successfully describe the data within the fiducial region, although a lower level of agreement is observed near $\Delta\phi \rightarrow \pi$ for events with high jet multiplicity, due to limitations of the perturbative approach in describing soft phenomena in QCD.The data are equally well described by Monte Carlo predictions that supplement leading-order matrix elements with parton showering.
DOI: 10.17182/hepdata.153487.v1/t20
title: "Table 8" of "The azimuthal correlation between the leading jet and the scattered lepton in deep inelastic scattering at HERA"

description: QED correction factors for inclusive measurement, as estimated with RAPGAP.
description: The azimuthal correlation angle, $\Delta\phi$, between the scattered lepton and the leading jet in deep inelastic $e^{\pm}p$ scattering at HERA has been studied using data collected with the ZEUS detector at a centre-of-mass energy of $\sqrt{s} = 318 \;\mathrm{GeV}$, corresponding to an integrated luminosity of $326 \;\mathrm{pb}^{-1}$.A measurement of jet cross sections in the laboratory frame was made in a fiducial region corresponding to photon virtuality $10 \;\mathrm{GeV}^{2} &lt; Q^{2} &lt; 350 \;\mathrm{GeV}^{2}$, inelasticity $0.04 &lt; y &lt; 0.7$, outgoing lepton energy $E_e &gt; 10 \;\mathrm{GeV}$, lepton polar angle $140^\circ &lt; \theta_e &lt; 180^\circ$, jet transverse momentum $2.5 \;\mathrm{GeV} &lt; p_\mathrm{T,jet} &lt; 30 \;\mathrm{GeV}$, and jet pseudorapidity $-1.5 &lt; \eta_\mathrm{jet} &lt; 1.8$.Jets were reconstructed using the $k_\mathrm{T}$ algorithm with the radius parameter $R = 1$.The leading jet in an event is defined as the jet that carries the highest $p_\mathrm{T,jet}$.Differential cross sections, $d\sigma/d\Delta\phi$, were measured as a function of the azimuthal correlation angle in various ranges of leading-jet transverse momentum, photon virtuality and jet multiplicity.Perturbative calculations at $\mathcal{O}(\alpha_{s}^2)$ accuracy successfully describe the data within the fiducial region, although a lower level of agreement is observed near $\Delta\phi \rightarrow \pi$ for events with high jet multiplicity, due to limitations of the perturbative approach in describing soft phenomena in QCD.The data are equally well described by Monte Carlo predictions that supplement leading-order matrix elements with parton showering.
DOI: 10.17182/hepdata.153487.v1/t21
title: "Table 9.1.1" of "The azimuthal correlation between the leading jet and the scattered lepton in deep inelastic scattering at HERA"

description: QED correction factors for $2.5 \;\mathrm{GeV} &lt; p_{T,jet}^{lead} &lt; 7 \;\mathrm{GeV}$ and $N_{jet} \geq 1$, as estimated with RAPGAP.
description: The azimuthal correlation angle, $\Delta\phi$, between the scattered lepton and the leading jet in deep inelastic $e^{\pm}p$ scattering at HERA has been studied using data collected with the ZEUS detector at a centre-of-mass energy of $\sqrt{s} = 318 \;\mathrm{GeV}$, corresponding to an integrated luminosity of $326 \;\mathrm{pb}^{-1}$.A measurement of jet cross sections in the laboratory frame was made in a fiducial region corresponding to photon virtuality $10 \;\mathrm{GeV}^{2} &lt; Q^{2} &lt; 350 \;\mathrm{GeV}^{2}$, inelasticity $0.04 &lt; y &lt; 0.7$, outgoing lepton energy $E_e &gt; 10 \;\mathrm{GeV}$, lepton polar angle $140^\circ &lt; \theta_e &lt; 180^\circ$, jet transverse momentum $2.5 \;\mathrm{GeV} &lt; p_\mathrm{T,jet} &lt; 30 \;\mathrm{GeV}$, and jet pseudorapidity $-1.5 &lt; \eta_\mathrm{jet} &lt; 1.8$.Jets were reconstructed using the $k_\mathrm{T}$ algorithm with the radius parameter $R = 1$.The leading jet in an event is defined as the jet that carries the highest $p_\mathrm{T,jet}$.Differential cross sections, $d\sigma/d\Delta\phi$, were measured as a function of the azimuthal correlation angle in various ranges of leading-jet transverse momentum, photon virtuality and jet multiplicity.Perturbative calculations at $\mathcal{O}(\alpha_{s}^2)$ accuracy successfully describe the data within the fiducial region, although a lower level of agreement is observed near $\Delta\phi \rightarrow \pi$ for events with high jet multiplicity, due to limitations of the perturbative approach in describing soft phenomena in QCD.The data are equally well described by Monte Carlo predictions that supplement leading-order matrix elements with parton showering.