cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0195991.10fu
title: SH0195991.10FU

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/sh0195992.10fu
title: SH0195992.10FU

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/sh0195993.10fu
title: SH0195993.10FU

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/sh0195994.10fu
title: SH0195994.10FU

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/sh0195995.10fu
title: SH0195995.10FU

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/sh0195996.10fu
title: SH0195996.10FU

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/sh0195997.10fu
title: SH0195997.10FU

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/sh0195998.10fu
title: SH0195998.10FU

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/sh0195999.10fu
title: SH0195999.10FU

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: 10.5065/d6fj2f5v
title: METCRAX 30 second ISFS data, QC'd, geographic, not tilt corrected. Version 1.0

description: This dataset contains 30 second ISFS data from the Meteor Crater Experiment (METCRAX), from 24 September 2006 to 4 November 2006. These data are in NetCDF format, are not tilt corrected, and are in geographic coordinates. More information about the data source and processing can be found at the Project Documentation webpage in the related links. The Integrated Surface Flux System (ISFS) is designed to study exchange processes between the atmosphere and Earth's surface. This includes the direct measurement of fluxes of momentum, sensible and latent heat, trace gases, and radiation as well as standard atmospheric and surface variables. With multiple sensors and data systems, measurements of horizontal and vertical gradients also can be made.
DOI: 10.15468/dl.28vukj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Supella longipalpa",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036381-250920141307145/datasets/export for details.
DOI: 10.6084/m9.figshare.30256675
title: Proteomic profiling sequencing of Giardia extracellular vesicles (GEVs) stimulated intestinal epithelial cells

description: Proteomic profiling sequencing of Giardia extracellular vesicles (GEVs) stimulated intestinal epithelial cells, with untreated cells used as the control.
DOI: 10.6084/m9.figshare.30256675.v1
title: Proteomic profiling sequencing of Giardia extracellular vesicles (GEVs) stimulated intestinal epithelial cells

description: Proteomic profiling sequencing of Giardia extracellular vesicles (GEVs) stimulated intestinal epithelial cells, with untreated cells used as the control.
DOI: 10.5281/zenodo.17243554
title: EVKLID GEOMETRIYASIDA ESTETIK IDEALLARNING PAYDO BO'LISHI
DOI: 10.5281/zenodo.17243553
title: EVKLID GEOMETRIYASIDA ESTETIK IDEALLARNING PAYDO BO'LISHI
DOI: 10.6084/m9.figshare.30256549
title: m6A methylation sequencing of Giardia extracellular vesicles (GEVs) stimulated intestinal epithelial cells

description: m6A methylation sequencing of GEVs stimulates intestinal epithelial cells with untreated cells as controls.
DOI: 10.6084/m9.figshare.30256549.v2
title: m6A methylation sequencing of Giardia extracellular vesicles (GEVs) stimulated intestinal epithelial cells

description: m6A methylation sequencing of GEVs stimulates intestinal epithelial cells with untreated cells as controls.
DOI: 10.6084/m9.figshare.30256549.v1
title: m6A methylation sequencing of GEVs stimulated intestinal epithelial cells

description: m6A methylation sequencing of GEVs stimulated intestinal epithelial cells, with untreated cells used as the control.
DOI: 10.15468/dl.putmxt
title: Occurrence Download

description: A dataset containing 7223 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is ReefSYN | Standardized datasets of Brazilian reef diversity in space and time - Dataset X: Alcatrazes monitoring"
 ]
}

 The dataset includes 7223 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036383-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5065/d69s1pf4
title: METCRAX ISS SODAR Data. Version 1.0

description: The Meteor Crater Experiment (METCRAX) is a 3-year meteorological research program supported by the Mesoscale Dynamics Division of the U. S. National Science Foundation (NSF). The program is investigating the structure and evolution of temperature inversions or cold-air pools that form on a daily basis in topographic basins and valleys. As part of this research a one-month-long field experiment was conducted from 01 October 2006 to 30 October 2006 in Arizona's Meteor Crater, a simple near-ideal topographic basin formed by the impact of a meteor. In this basin, the physical processes leading to the buildup and breakdown of temperature inversions and the formation of atmospheric seiches (atmospheric oscillations in the basin caused by wind disturbances at the basin crest) can be studied without the complications introduced by more complex topography. This dataset comtains Sound Detection and Ranging (SODAR) data collected by the NCAR/EOL Integrated Sounding System (ISS) during the METCRAX campaign and is available in raw ASCII format. These data have not been quality-controlled.
DOI: 10.15468/dl.3kdkqe
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Supella longipalpa",
 "Country is Singapore",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036384-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.12965.56804
title: Cyber Risk and Exposure: Where Risk Meets Reality
DOI: 10.5281/zenodo.17243231
title: Quantumness and its hierarchies in PT-symmetric down-conversion models
title: Underlying dataset for the article

description: The data are related to the manuscript ‚Quantumness and its hierarchies in PT-symmetric down-conversion models‘  written by Jan Perina Jr, Karol Bartkiewicz, Grzegorz Chimczak, Anna Kowalewska-Kudlaszyk, Adam Miranowicz, Joanna K. Kalaga, and Wieslaw Leonski that will be publsished in Physical Review A.
DOI: 10.5281/zenodo.17243232
title: Quantumness and its hierarchies in PT-symmetric down-conversion models
title: Underlying dataset for the article

description: The data are related to the manuscript ‚Quantumness and its hierarchies in PT-symmetric down-conversion models‘  written by Jan Perina Jr, Karol Bartkiewicz, Grzegorz Chimczak, Anna Kowalewska-Kudlaszyk, Adam Miranowicz, Joanna K. Kalaga, and Wieslaw Leonski that will be publsished in Physical Review A.
DOI: 10.5517/ccdc.csd.cc239qnt
title: CCDC 1945766: Experimental Crystal Structure Determination

description: Related Article: Catherine Greenan, Jean-Baptiste Arlin, Keith Lorimer, Kristi Kaylo, Robert Kargbo, Poncho Meisenheimer, W. Gary Tarpley, Alexander Sherwood|2020|ResearchGate|||doi:10.13140/RG.2.2.32357.14560
description: Related Article: Jean-Baptiste Arlin, Catherine Greenan, Keith Lorimer, Kristi Kaylo Robert Kargbo, Poncho Meisenheimer, W. Gary Tarpley, Alexander Sherwood|2021|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.13140/rg.2.2.18627.87845
title: Python Code for Morphological Operations: Dilation, Erosion, Skeletonization, and Watershed
DOI: 10.13140/rg.2.2.15272.43525
title: Code for Image Enhancement: Negative, Gamma Correction, and Contrast Stretching
DOI: 10.15468/dl.szy589
title: Occurrence Download

description: A dataset containing 19226 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Amplicon 16S rRNA Illumina TAGs from Malaspina Bathypelagic samples"
 ]
}

 The dataset includes 19226 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036382-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5065/d6610xqq
title: METCRAX ISS Surface Meteorology Data. Version 1.0

description: The Meteor Crater Experiment (METCRAX) is a 3-year meteorological research program supported by the Mesoscale Dynamics Division of the U. S. National Science Foundation (NSF). The program is investigating the structure and evolution of temperature inversions or cold-air pools that form on a daily basis in topographic basins and valleys. As part of this research a one-month-long field experiment will be conducted in October 2006 in Arizona's Meteor Crater, a simple near-ideal topographic basin formed by the impact of a meteor. In this basin, the physical processes leading to the buildup and breakdown of temperature inversions and the formation of atmospheric seiches (atmospheric oscillations in the basin caused by wind disturbances at the basin crest) can be studied without the complications introduced by more complex topography. This dataset contains surface meteorology data collected by the NCAR/EOL Integrated Sounding System (ISS) during METCRAX. This data are available in daily netCDF files and have not been QC'd.
DOI: 10.13140/rg.2.2.17789.01760
title: Calcitonin RIS
DOI: 10.13140/rg.2.2.16111.29609
title: 2ndTryCoreCompressionlaw
DOI: 10.15468/dl.z3fh9z
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Supella longipalpa",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036387-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.65h4g9
title: Occurrence Download

description: A dataset containing 13468 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Excoecaria"
 ]
}

 The dataset includes 13468 records from 249 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036359-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2jdlzj
title: CCDC 2335818: Experimental Crystal Structure Determination

description: Related Article: Dongjie Tian, Romain Gautier, Camille Latouche, Xin Zheng, Adel Mesbah, Xi Chen|2025|Inorg.Chem.|64|19238|doi:10.1021/acs.inorgchem.5c02542
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jdm0l
title: CCDC 2335819: Experimental Crystal Structure Determination

description: Related Article: Dongjie Tian, Romain Gautier, Camille Latouche, Xin Zheng, Adel Mesbah, Xi Chen|2025|Inorg.Chem.|64|19238|doi:10.1021/acs.inorgchem.5c02542
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.m5brpy
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Supella longipalpa",
 "Country is United Arab Emirates",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036389-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5065/d628060s
title: METCRAX ISS 915 MHz Wind Profiler and RASS Data. Version 1.0

description: The Meteor Crater Experiment (METCRAX) is a 3-year meteorological research program supported by the Mesoscale Dynamics Division of the U. S. National Science Foundation (NSF). The program is investigating the structure and evolution of temperature inversions or cold-air pools that form on a daily basis in topographic basins and valleys. As part of this research a one-month-long field experiment will be conducted in October 2006 in Arizona's Meteor Crater, a simple near-ideal topographic basin formed by the impact of a meteor. In this basin, the physical processes leading to the buildup and breakdown of temperature inversions and the formation of atmospheric seiches (atmospheric oscillations in the basin caused by wind disturbances at the basin crest) can be studied without the complications introduced by more complex topography. This dataset contains 915 MHz wind profiler data collected by the NCAR/EOL Integrated Sounding System (ISS) during METCRAX between 01 October 2006 and 31 October 2006. This dataset includes doppler moments data (.mom.nc), consensus winds data (.winds*.nc), and Radio Acoustic Sounding System (RASS) virtual temperatures (.rass.nc) in NetCDF format. These data are tarred into daily files and have been quality controlled.
DOI: 10.13140/rg.2.2.18523.02087
title: Code for Dynamic Axiom
DOI: 10.5517/ccdc.csd.cc2mcbt5
title: CCDC 2423977: Experimental Crystal Structure Determination

description: Related Article: Yuxin Jiang, Ze-Yu Wang, Li-Na Wu, Jian-Bo Liu, Yongmei Zhao, Zhao-Xi Wang|2025|Polyhedron|282|117781|doi:10.1016/j.poly.2025.117781
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.