cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0186775.10fu
title: SH0186775.10FU

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/sh0186776.10fu
title: SH0186776.10FU

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/sh0186777.10fu
title: SH0186777.10FU

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/sh0186778.10fu
title: SH0186778.10FU

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/sh0186779.10fu
title: SH0186779.10FU

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/sh0186780.10fu
title: SH0186780.10FU

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/sh0186781.10fu
title: SH0186781.10FU

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/sh0186782.10fu
title: SH0186782.10FU

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/sh0186783.10fu
title: SH0186783.10FU

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/sh0186784.10fu
title: SH0186784.10FU

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.h2eake
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hibiscus schizopetalus",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025698-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48577/jpl.9cf3uv
title: Improved CO2 Retrievals from Space-Based Measurements Through Machine Learning-Informed Aerosol Priors

description: No abstract available.
DOI: 10.15468/dl.868dnw
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plinia cauliflora",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025700-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48577/jpl.wltjtu
title: GRAVITY OBSERVATION AND DARK ENERGY DETECTION EXPLORER IN THE SOLAR SYSTEM

description: No abstract available.
DOI: 10.48577/jpl.lfdkdy
title: Elastic Displacement of the Solid Earth and GRACE/GRACE-FO Response to Variations in Global Lake and Reservoir Storage

description: No abstract available.
DOI: 10.48577/jpl.wyshis
title: Poster - ISRSE-40

description: No abstract available.
DOI: 10.15468/dl.ap9psn
title: Occurrence Download

description: A dataset containing 128431716 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 128431716 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025635-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wknyu8
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Terminalia neotaliala",
 "Country is Burkina Faso",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025702-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48577/jpl.cwbm2h
title: Investigation of the Influence of Temperature, Pressure, and Water Vapor on the Reaction Rate of OH + SO2 + M

description: No abstract available.
DOI: 10.15468/dl.q8e9zv
title: Occurrence Download

description: A dataset containing 1062 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Psidium guajava",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1062 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025705-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jeuqbk
title: Occurrence Download

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

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025704-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48577/jpl.kyugcr
title: Statistical Challenges for the Next Generation of NASA’s Earth Observing Satellites

description: No abstract available.
DOI: 10.48577/jpl.mulusk
title: NISAR: NASA-ISRO Earth Science and Applications Mission

description: No abstract available.
DOI: 10.15468/dl.f9m2m4
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Terminalia neotaliala",
 "Country is Burundi",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025703-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48577/jpl.0o4ltd
title: Analytical estimation of carbon dioxide fluxes and information content from OCO-2 satellite data

description: No abstract available.
DOI: 10.48577/jpl.ggjpit
title: Spin Defect Engineering For A New Generation Of Quantum Magnetometers

description: No abstract available.
DOI: 10.48577/jpl.tpxmeg
title: OCO-3 Mission Status

description: No abstract available.
DOI: 10.15468/dl.2my4p2
title: Occurrence Download

description: A dataset containing 587807 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Poa pratensis",
 "Year 1975-2024"
 ]
}

 The dataset includes 587807 records from 2803 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025634-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14835443
title: Global Web Cache Latency Measurement for Low-Earth Orbit Satellite Networks: A Dataset

description: This dataset contains global web cache latency measurements collected via RIPE Atlas probes equipped with low-earth orbit (LEO) satellite networks' terminals across five continents, spanning over 24 hours and resulting in ~2 Million measurements. The measurements aim to evaluate the user-perceived latency of accessing popular websites through LEO satellite networks.This dataset is a product of Spache, a research project on web caching from space. Please refer to its WWW'25 paper for more details and analysis results.

Dataset File Content

The dataset includes the following files:

Metadata



Target website list: A list of the top 50 most popular websites according to Alexa ranking.



Note: microsoftonline.com (originally ranked 41st) is not included in the list due to its unresolvable domain name.




Measurement results - Latency



Ping RTT latency: Containing the minimum RTT (Round Trip Time, in milliseconds) for each Ping measurement to all target websites.



Probe information: Corresponding Probe IDs (Anonymized), along with their respective continents at the time of measurement.




This dataset is intended to support research on web caching, particularly in the context of satellite Internet. Please cite both this dataset and the associated paper if you find this data useful.
description: @dataset{spacenetlab_2025_14835444,  author       = {SpaceNetLab},  title        = {Global Web Cache Latency Measurement for Low-Earth Orbit Satellite Networks: A Dataset},  month        = feb,  year         = 2025,  publisher    = {Zenodo},  doi          = {10.5281/zenodo.14835444},  url          = {https://doi.org/10.5281/zenodo.14835444},}
@inproceedings{zhang2025spache,
 author    = {Qi Zhang and Qian Wu and Zeqi Lai and Jihao Li and Hewu Li and Yuyu Liu and Yuanjie Li and Jun Liu},
 title     = {Spache: Accelerating Ubiquitous Web Browsing via Schedule-Driven Space Caching},
 booktitle = {Proceedings of the ACM Web Conference 2025 (WWW '25)},
 year      = {2025},
 pages     = {1--11},
 address   = {Sydney, NSW, Australia},
 publisher = {ACM},
 doi       = {10.1145/3696410.3714789},
 url       = {https://doi.org/10.1145/3696410.3714789}
}
DOI: 10.5281/zenodo.14835444
title: Global Web Cache Latency Measurement for Low-Earth Orbit Satellite Networks: A Dataset

description: This dataset contains global web cache latency measurements collected via RIPE Atlas probes equipped with low-earth orbit (LEO) satellite networks' terminals across five continents, spanning over 24 hours and resulting in ~2 Million measurements. The measurements aim to evaluate the user-perceived latency of accessing popular websites through LEO satellite networks.This dataset is a product of Spache, a research project on web caching from space. Please refer to its WWW'25 paper for more details and analysis results.

Dataset File Content

The dataset includes the following files:

Metadata



Target website list: A list of the top 50 most popular websites according to Alexa ranking.



Note: microsoftonline.com (originally ranked 41st) is not included in the list due to its unresolvable domain name.




Measurement results - Latency



Ping RTT latency: Containing the minimum RTT (Round Trip Time, in milliseconds) for each Ping measurement to all target websites.



Probe information: Corresponding Probe IDs (Anonymized), along with their respective continents at the time of measurement.




This dataset is intended to support research on web caching, particularly in the context of satellite Internet. Please cite both this dataset and the associated paper if you find this data useful.
description: @dataset{spacenetlab_2025_14835444,  author       = {SpaceNetLab},  title        = {Global Web Cache Latency Measurement for Low-Earth Orbit Satellite Networks: A Dataset},  month        = feb,  year         = 2025,  publisher    = {Zenodo},  doi          = {10.5281/zenodo.14835444},  url          = {https://doi.org/10.5281/zenodo.14835444},}
@inproceedings{zhang2025spache,
 author    = {Qi Zhang and Qian Wu and Zeqi Lai and Jihao Li and Hewu Li and Yuyu Liu and Yuanjie Li and Jun Liu},
 title     = {Spache: Accelerating Ubiquitous Web Browsing via Schedule-Driven Space Caching},
 booktitle = {Proceedings of the ACM Web Conference 2025 (WWW '25)},
 year      = {2025},
 pages     = {1--11},
 address   = {Sydney, NSW, Australia},
 publisher = {ACM},
 doi       = {10.1145/3696410.3714789},
 url       = {https://doi.org/10.1145/3696410.3714789}
}
DOI: 10.5281/zenodo.14835746
title: SEMANTIC-PRAGMATIC FEATURES OF PROMISING SPEECH IN MODERN ENGLISH
DOI: 10.5281/zenodo.14835747
title: SEMANTIC-PRAGMATIC FEATURES OF PROMISING SPEECH IN MODERN ENGLISH
DOI: 10.15468/dl.xe3qn3
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is COL.18_2",
 "TaxonKey is Drymarchon melanurus (Duméril, Bibron & Duméril, 1854)"
 ]
}

 The dataset includes 19 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020556-250127130748423/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.28366103.v2
title: Raw data for Xisha Islands soil samples.

description: Raw data for Xisha Islands soil samples.
DOI: 10.5281/zenodo.14835753
title: COMPARATIVE ANALYSIS OF PARALINGUISTIC MEANS OF ENGLISH AND UZBEK LANGUAGES
DOI: 10.5281/zenodo.14835754
title: COMPARATIVE ANALYSIS OF PARALINGUISTIC MEANS OF ENGLISH AND UZBEK LANGUAGES
DOI: 10.15468/dl.b7hsab
title: Occurrence Download

description: A dataset containing 12015 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Continent is Asia",
 "Country is Malaysia",
 "DatasetKey is one of (EOD – eBird Observation Dataset, iNaturalist Research-grade Observations, Observation.org, Nature data from around the World, Xeno-canto - Bird sounds from around the world, Macaulay Library Audio and Video Collection, NABU|naturgucker, Museum of Comparative Zoology, Harvard University, Field Museum of Natural History (Zoology) Bird Collection, UMZC Zoological Specimens, NMNH Extant Specimen Records (USNM, US))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Buceros rhinoceros Linnaeus, 1758"
 ]
}

 The dataset includes 12015 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020557-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.