cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.11585848
title: Kaspar Anton Alexander (a0170)

description: -- Documentation --Name: Kaspar Anton AlexandermusiXplora-ID: a0170musiXplora-URI: https://musixplora.de/mxp/a0170Gender: mDate of Birth: 13 January 1803Place of Birth: MainzDate of Death: 25 February 1872Place of Death: UndefinedFirst Mentioned: 1825Sectors: InstrumentenbauProfessions (Musical): Blechblasinstrumentenbauer, HolzblasinstrumentenbauerMain Place of Activity: MainzHerkunftsfamilie:
GroupRoleNamemXp-IDElternSohnFranz Ambros Alexandera0168ElternVaterFranz Anton Alexandera0171ElternVaterGeorg Philipp Alexandera0172GeschwisterBruderPhilipp Alexandera0169GeschwisterBruderPhilipp Alexandera0169GeschwisterBruderClaudius Alexandera0698GeschwisterBruderClaudius Alexandera0698GeschwisterBruderMartin Alexandera1176Institutionen:
RoleTitlemXp-IDRelatedGebrüder Alexander3030186Titel/Medien:
RoleSigelTitlemXp-IDRelatedNew Langwill Index 1993The New Langwill Index. A Dictionary of Musical Wind-Instrument Makers and Inventors. NLI5001112RelatedHeise 2013Goldene Klänge im mystischen Grund. Musikinstrumente für Richard Wagner. Ausstellungskatalog5002025Changelog:  - v0.0.1: Initial Upload.
DOI: 10.15468/dl.nx2wf2
title: Occurrence Download

description: A dataset containing 358 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lycalopex culpaeus culpaeus"
 ]
}

 The dataset includes 358 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050490-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qq5shr
title: Occurrence Download

description: A dataset containing 304527 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pimpinella saxifraga L."
 ]
}

 The dataset includes 304527 records from 1012 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080506-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17264906
title: Reconstructed neutron charge structure via selective flattening: Insights from Patterson function analysis

description: This is a high-resolution reconstruction of the neutron’s internal charge structure derived through an iterative and selective flattening technique applied to Patterson function analysis. By tuning the radial Patterson charge density to match experimental observations, we derive a spatially resolved charge distribution that unveils the neutron’s internal architecture with unprecedented clarity. The reconstructed profile adheres to the condition of electrical neutrality and reveals a distinct core-shell configuration: a compact, rigid positive central core with a peak density of 12.3 fm⁻³, surrounded by a diffuse, soft negative shell with a minimum density of −0.396 fm⁻³. The first and second zero-crossings of the charge density occur at 0.101 fm and 0.25 fm, respectively. The radius at half-maximum of the central peak is 0.049 fm. This empirical, model-independent approach circumvents theoretical bias and introduces a novel framework for visualizing subatomic charge distribution.
DOI: 10.5281/zenodo.17467045
title: Reconstructed neutron charge structure via selective flattening: Insights from Patterson function analysis

description: This is a high-resolution reconstruction of the neutron’s internal charge structure derived through an iterative and selective flattening technique applied to Patterson function analysis. By tuning the radial Patterson charge density to match experimental observations, we derive a spatially resolved charge distribution that unveils the neutron’s internal architecture with unprecedented clarity. The reconstructed profile adheres to the condition of electrical neutrality and reveals a distinct core-shell configuration: a compact, rigid positive central core with a peak density of 12.3 fm⁻³, surrounded by a diffuse, soft negative shell with a minimum density of −0.396 fm⁻³. The first and second zero-crossings of the charge density occur at 0.101 fm and 0.25 fm, respectively. The radius at half-maximum of the central peak is 0.049 fm. This empirical, model-independent approach circumvents theoretical bias and introduces a novel framework for visualizing subatomic charge distribution.
DOI: 10.15468/dl.5xqagn
title: Occurrence Download

description: A dataset listing the 6 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.44422 9.25925,-74.44641 9.25912,-74.44867 9.25807,-74.45118 9.25634,-74.45269 9.25367,-74.45325 9.25107,-74.45313 9.24829,-74.45212 9.24569,-74.44993 9.24315,-74.44754 9.24172,-74.44384 9.24098,-74.44083 9.24178,-74.43813 9.24333,-74.43612 9.24513,-74.43512 9.24748,-74.43468 9.24952,-74.43499 9.25182,-74.43587 9.25429,-74.43688 9.25609,-74.4392 9.25782,-74.44183 9.25906,-74.44422 9.25925))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 6 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005027-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e239292
title: Replication package for "Jargonization, language development and team performance"

description: This project contains data and code supporting the paper “Jargonization, language development and team performance” by Ray Reagans, Ronald Burt, and Donald Liu. The files include the data (jargon_soc_sci.dta) and analysis (jargon_replication.do) files to replicate the results. An additional file (jargon_robustness.do) is include to illustrate results from robustness checks. The materials allow users to replicate the main results and figures reported in the paper. Data are provided in Stata format.
DOI: 10.3886/e239292v1
title: Replication package for "Jargonization, language development and team performance"

description: This project contains data and code supporting the paper “Jargonization, language development and team performance” by Ray Reagans, Ronald Burt, and Donald Liu. The files include the data (jargon_soc_sci.dta) and analysis (jargon_replication.do) files to replicate the results. An additional file (jargon_robustness.do) is include to illustrate results from robustness checks. The materials allow users to replicate the main results and figures reported in the paper. Data are provided in Stata format.
DOI: 10.15468/dl.gdjy3d
title: Occurrence Download

description: A dataset containing 6918809 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Peru",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2000-2025"
 ]
}

 The dataset includes 6918809 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000927-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13127/messina-strait/piezo-log-som-2024
title: Logs of water temperature and electric conductivity of the piezometric network of the Strait of Messina area (Italy)
title: Piezo-log-SoM-2024

description: Logs of water temperature and electric conductivity of the Strait of Messina piezometric network
description: Log di temperatura e conducibilità elettrica dell'acqua della rete piezometrica dello Stretto di Messina
description: Hanna HI98494 multiparametric probe. 
Resolution:
Temperature: 0.01 °C;
Electric conductivity: 0.001 mS/cm up to 10 mS/cm; 0.01 ms/cm up to 100 mS/cm.
description: Structure of the Excel file: 
Sheet Geographic coordinates contains piezometer ID, longitude, latitude, elevation and date of survey.
Other sheets, each named with the piezometer ID contain Depth, wtaer temperature and electric conductivity data.
DOI: 10.15468/dl.kdw2uw
title: Occurrence Download

description: A dataset containing 821 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-10000.0",
 "Geometry POLYGON((-121.27628 32.5334,-114.02053 32.5334,-114.02053 35.82467,-121.27628 35.82467,-121.27628 32.5334))",
 "TaxonKey is Tamarix ramosissima Ledeb.",
 "Year 1989-2024"
 ]
}

 The dataset includes 821 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000945-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5p55dv5x
title: MassIVE MSV000097447 - CF-MS data of dolphin brain lysate for 'VerteBrain reveals novel neural and non-neural protein assemblies conserved across vertebrate evolution"
title: CF-MS data of dolphin brain lysate for 'VerteBrain reveals novel neural and non-neural protein assemblies conserved across vertebrate evolution"
DOI: 10.15468/dl.rpnm7u
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aeschynomene selloi Vogel)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 13 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000946-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12571910
title: Dynamically chiral phosphonic acid-type metallo-β-lactamase inhibitors

description: NMR raw data files (FID), X-ray data, computational structural files
DOI: 10.5281/zenodo.12571911
title: Dynamically chiral phosphonic acid-type metallo-β-lactamase inhibitors

description: NMR raw data files (FID), X-ray data, computational structural files
DOI: 10.5281/zenodo.15085767
title: MSI Oxysterol_Cholesterol Analysis
DOI: 10.5281/zenodo.15085768
title: MSI Oxysterol_Cholesterol Analysis
DOI: 10.15468/dl.ca9tmz
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-71.86751 -41.57741,-70.58397 -41.57741,-70.58397 -40.59726,-71.86751 -40.59726,-71.86751 -41.57741))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Larus dominicanus dominicanus"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000949-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cdxuad
title: Occurrence Download

description: A dataset containing 24674 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Albizia julibrissin Durazz., Albizia julibrissin Baker, Albizia julibrissin Fern.-Vill., Albizia julibrissin Perkins)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 24674 records from 366 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000948-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14750809
title: Unicorn: Enhancing Single-Cell Hi-C Data with Blind Super-Resolution for 3D Genome Structure Reconstruction

description: In this study, we present ScUnicorn, a novel blind Super-Resolution framework for scHi-C enhancement. ScUnicorn employs an iterative degradation kernel optimization process, unlike traditional Super-resolution approaches, which rely on downsampling, predefined degradation ratios, or constant assumptions about the input data to reconstruct high-resolution interaction matrices. Hence, our approach more reliably preserves critical biological patterns and minimizes noise. Additionally, we propose 3DUnicorn, a maximum likelihood algorithm that leverages the enhanced scHi-C data to infer precise 3D chromosomal structures.
DOI: 10.5281/zenodo.14750810
title: Unicorn: Enhancing Single-Cell Hi-C Data with Blind Super-Resolution for 3D Genome Structure Reconstruction

description: In this study, we present ScUnicorn, a novel blind Super-Resolution framework for scHi-C enhancement. ScUnicorn employs an iterative degradation kernel optimization process, unlike traditional Super-resolution approaches, which rely on downsampling, predefined degradation ratios, or constant assumptions about the input data to reconstruct high-resolution interaction matrices. Hence, our approach more reliably preserves critical biological patterns and minimizes noise. Additionally, we propose 3DUnicorn, a maximum likelihood algorithm that leverages the enhanced scHi-C data to infer precise 3D chromosomal structures.
DOI: 10.5281/zenodo.15066355
title: Unicorn: Enhancing Single-Cell Hi-C Data with Blind Super-Resolution for 3D Genome Structure Reconstruction

description: In this study, we present ScUnicorn, a novel blind Super-Resolution framework for scHi-C enhancement. ScUnicorn employs an iterative degradation kernel optimization process, unlike traditional Super-resolution approaches, which rely on downsampling, predefined degradation ratios, or constant assumptions about the input data to reconstruct high-resolution interaction matrices. Hence, our approach more reliably preserves critical biological patterns and minimizes noise. Additionally, we propose 3DUnicorn, a maximum likelihood algorithm that leverages the enhanced scHi-C data to infer precise 3D chromosomal structures.
DOI: 10.5281/zenodo.15079331
title: Unicorn: Enhancing Single-Cell Hi-C Data with Blind Super-Resolution for 3D Genome Structure Reconstruction

description: In this study, we present ScUnicorn, a novel blind Super-Resolution framework for scHi-C enhancement. ScUnicorn employs an iterative degradation kernel optimization process, unlike traditional Super-resolution approaches, which rely on downsampling, predefined degradation ratios, or constant assumptions about the input data to reconstruct high-resolution interaction matrices. Hence, our approach more reliably preserves critical biological patterns and minimizes noise. Additionally, we propose 3DUnicorn, a maximum likelihood algorithm that leverages the enhanced scHi-C data to infer precise 3D chromosomal structures.
DOI: 10.5281/zenodo.15085849
title: Cuprizone model excel files weight blood count luxol fast blue LFB image analysis
DOI: 10.5281/zenodo.15085850
title: Cuprizone model excel files weight blood count luxol fast blue LFB image analysis
DOI: 10.15468/dl.b4krjd
title: Occurrence Download

description: A dataset containing 233153529 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material sample, Occurrence evidence, Material citation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 233153529 records from 19801 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000936-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1161027.10fu
title: SH1161027.10FU

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/sh1161032.10fu
title: SH1161032.10FU

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/sh1161035.10fu
title: SH1161035.10FU

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/sh1161039.10fu
title: SH1161039.10FU

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/sh1161043.10fu
title: SH1161043.10FU

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/sh1161046.10fu
title: SH1161046.10FU

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/sh1161051.10fu
title: SH1161051.10FU

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.