cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh3446125.08fu
title: SH3446125.08FU

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/sh3446126.08fu
title: SH3446126.08FU

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/sh3446127.08fu
title: SH3446127.08FU

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/sh3446128.08fu
title: SH3446128.08FU

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/sh3446129.08fu
title: SH3446129.08FU

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/sh3446130.08fu
title: SH3446130.08FU

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/sh3446131.08fu
title: SH3446131.08FU

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/sh3446132.08fu
title: SH3446132.08FU

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/sh3446133.08fu
title: SH3446133.08FU

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: 10.5281/zenodo.10906814
title: Final point cloud results of DAR-MVSNet on BlendedMVS dataset
DOI: 10.5281/zenodo.10906815
title: Final point cloud results of DAR-MVSNet on BlendedMVS dataset
DOI: 10.15468/dl.vxefrj
title: Occurrence Download

description: A dataset containing 1250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((32.38144 29.97992,39.61856 18.85263,42.95876 13.5084,46.85567 11.33386,109.34433 8.10687,126.66552 29.98105,135.99232 49.26082,173.2995 57.86504,163.51466 63.80935,171 70.92143,102.68233 72.05552,69.37235 69.88567,24.73697 71.40503,3.71134 66.94852,-12.3151 57.57079,-20.56461 43.34223,-8.09048 33.9443,11.7076 37.25113,13.16352 31.23885,32.38144 29.97992))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Artemia Leach, 1819"
 ]
}

 The dataset includes 1250 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082276-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zbpmjg
title: Occurrence Download

description: A dataset containing 639 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pterocelastrus echinatus N.E.Br."
 ]
}

 The dataset includes 639 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082279-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y69jru
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psychotria longicauda Valeton"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082278-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.92ubpp
title: Occurrence Download

description: A dataset containing 176 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Premna mollissima Roth"
 ]
}

 The dataset includes 176 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082280-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dyhwaz
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudoprosopis sericea (Hutch. & Dalziel) Brenan"
 ]
}

 The dataset includes 68 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082281-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jcx9tm
title: Occurrence Download

description: A dataset containing 32530182 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Living Specimen, Occurrence evidence)",
 "Continent is Africa",
 "Country is South Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 32530182 records from 159 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082163-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k5erxy
title: Occurrence Download

description: A dataset containing 30322 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "GadmGid is one of (PHL.58_1, PHL.57_1)",
 "Geometry POLYGON((119.21470 12.29068,122.68193 12.29068,122.68193 13.67757,119.21470 13.67757,119.21470 12.29068))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1840-2023"
 ]
}

 The dataset includes 30322 records from 154 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082277-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ad9hvv
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psychotria longicornis O.Lachenaud"
 ]
}

 The dataset includes 27 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082283-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wszywa
title: Occurrence Download

description: A dataset containing 272 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pterocelastrus rostratus (Thunb.) Walp."
 ]
}

 The dataset includes 272 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082284-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rgcmb4
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Premna mwadimei Ngumbau & G.W.Hu"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082285-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w9kqmp
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudoprosopis uncinata C.M.Evrard"
 ]
}

 The dataset includes 29 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082286-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r9ezrr
title: Occurrence Download

description: A dataset containing 1751 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pterocelastrus tricuspidatus (Lam.) Walp."
 ]
}

 The dataset includes 1751 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082291-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tayhwt
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psychotria longipaniculata Sohmer"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082290-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ccw53
title: Occurrence Download

description: A dataset containing 6107 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pongamia pinnata (L.) Pierre"
 ]
}

 The dataset includes 6107 records from 173 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082287-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hyhvh3
title: Occurrence Download

description: A dataset containing 124 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Premna oblongata Miq."
 ]
}

 The dataset includes 124 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082292-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tjbs4x
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudoprospero firmifolium (Baker) Speta"
 ]
}

 The dataset includes 52 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082293-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10670270
title: Capturing Periodic I/O Using Frequency Techniques [Data Set]

description: This file contains the data set from the paper: "Capturing Periodic I/O Using Frequency Techniques," which was accepted at the IPDPS 2024.

The Instructions are provided in the FTIO GitHub: https://github.com/tuda-parallel/FTIO/tree/main/artifacts/ipdps24


 

After extracting data.zip, the folder named data has the following structure:



data
├── application_traces
│   ├── HACC-IO
│   ├── IOR
│   ├── LAMMPS
│   ├── NEK5000
│   └── README.md
├── exps_with_synthetic_traces
├── iosets_ftio_experiments
└── README.md


The folder iosets_ftio_experiments and exps_with_synthetic_traces in data.zip are snapshots from the repositories:



https://gitlab.inria.fr/hpc_io/iosets-ftio-experiments

https://gitlab.inria.fr/hpc_io/ftio_paper_exps_with_synthetic_traces
DOI: 10.5281/zenodo.10670271
title: Capturing Periodic I/O Using Frequency Techniques [Data Set]

description: This file contains the data set from the paper: "Capturing Periodic I/O Using Frequency Techniques," which was accepted at the IPDPS 2024.

The Instructions are provided in the FTIO GitHub: https://github.com/tuda-parallel/FTIO/tree/main/artifacts/capturing_periodic_io_using_frequency_techniques
The folder iosets-ftio-experiments and exps_with_synthetic_traces in data.zip are snapshots from the repositories:



https://gitlab.inria.fr/hpc_io/iosets-ftio-experiments

https://gitlab.inria.fr/hpc_io/ftio_paper_exps_with_synthetic_traces
DOI: 10.5281/zenodo.10693725
title: Capturing Periodic I/O Using Frequency Techniques [Data Set]

description: This file contains the data set from the paper: "Capturing Periodic I/O Using Frequency Techniques," which was accepted at the IPDPS 2024.

The Instructions are provided in the FTIO GitHub: https://github.com/tuda-parallel/FTIO/tree/main/artifacts/ipdps24


 

The folder data has the following structure after extracting data.zip:



data
├── application_traces
│   ├── HACC-IO
│   ├── IOR
│   ├── LAMMPS
│   ├── NEK5000
│   └── README.md
├── exps_with_synthetic_traces
├── iosets-ftio-experiments
└── README.md


The folder iosets-ftio-experiments and exps_with_synthetic_traces in data.zip are snapshots from the repositories:



https://gitlab.inria.fr/hpc_io/iosets-ftio-experiments

https://gitlab.inria.fr/hpc_io/ftio_paper_exps_with_synthetic_traces
DOI: 10.5281/zenodo.10907469
title: Capturing Periodic I/O Using Frequency Techniques [Data Set]

description: This file contains the data set from the paper: "Capturing Periodic I/O Using Frequency Techniques," which was accepted at the IPDPS 2024.

The Instructions are provided in the FTIO GitHub: https://github.com/tuda-parallel/FTIO/tree/main/artifacts/ipdps24


 

After extracting data.zip, the folder named data has the following structure:



data
├── application_traces
│   ├── HACC-IO
│   ├── IOR
│   ├── LAMMPS
│   ├── NEK5000
│   └── README.md
├── exps_with_synthetic_traces
├── iosets_ftio_experiments
└── README.md


The folder iosets_ftio_experiments and exps_with_synthetic_traces in data.zip are snapshots from the repositories:



https://gitlab.inria.fr/hpc_io/iosets-ftio-experiments

https://gitlab.inria.fr/hpc_io/ftio_paper_exps_with_synthetic_traces
DOI: 10.25919/cztr-e731
title: Parkes observations for project PX500 semester 2023OCTS_19

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries. As the observing time has been purchased this proposal (and the related PX501) does not require TAC grading. The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first, relating to this proposal, will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period. The second type of time will be scheduled in shorter blocks and the data archived with a 10 year embargo.
DOI: 10.15468/dl.mpdhbd
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psychotria longipedicellata Elmer"
 ]
}

 The dataset includes 15 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082295-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xhe2vk
title: Occurrence Download

description: A dataset containing 982 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pteroceltis tatarinowii Maxim."
 ]
}

 The dataset includes 982 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082296-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.