cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34740/kaggle/dsv/10953022
title: Fecom Inc. (e-Com Marketplace Orders Data)
DOI: 10.15468/dl.as9gww
title: Occurrence Download

description: A dataset containing 31800659 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 {
 "not" : {
 "PhylumKey" : [
 "is Chordata"
 ]
 }
 },
 "ClassKey is one of (Thaliacea, Ascidiacea, Appendicularia, Leptocardii)"
 ]
 },
 "KingdomKey is Animalia",
 "DatasetKey is one of (University of Texas, Biodiversity Center, Entomology Collection (UTIC), Texas A&M University Insect Collection, iNaturalist Research-grade Observations)"
 ]
}

 The dataset includes 31800659 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008203-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cdbh7e
title: Occurrence Download

description: A dataset containing 763 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Caracterización de flora y fauna del Parque Nacional Natural Chingaza"
 ]
}

 The dataset includes 763 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008210-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2rz7tc
title: Occurrence Download

description: A dataset containing 205 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (iNaturalist Research-grade Observations, eButterfly Surveys, University of Guelph Insect Collection (DEBU), Canadian Museum of Nature Insect Collection, NMNH Extant Specimen Records (USNM, US), Ross A. Layberry Observations)",
 "Geometry POLYGON((-84.29967 47.32043,-84.38562 47.36628,-84.53923 47.35018,-84.59775 47.30183,-84.6069 47.11922,-84.50815 47.06818,-84.41488 47.07067,-84.32345 47.11922,-84.25761 47.19259,-84.24116 47.23855,-84.29967 47.32043))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 205 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008285-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xtybru
title: Occurrence Download

description: A dataset containing 4974 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bromus diandrus Roth"
 ]
}

 The dataset includes 4974 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008284-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tem852
title: Occurrence Download

description: A dataset containing 392 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Occurrence evidence, Material citation)",
 "OccurrenceStatus is Present",
 "TaxonKey is Peromyscus perfulvus Osgood, 1945"
 ]
}

 The dataset includes 392 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008286-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13292388
title: SeisSol input files of the 3D dynamic relaxation and dynamic rupture simulations of the Cascadia subduction zone in preprint Glehman et al. (2024)

description: This dataset contains the input files of the dynamic relaxation and dynamic rupture simulations of the Cascadia subduction zone presented in preprint:

The directory CSZ_Data_Model includes two directories: 'Codes' and 'Simulations.'## CodesThis directory includes two directories, each containing the necessary codes and filesto generate input files for:

1. The dynamic relaxation simulations: 'Cascadia_dynamic_relaxation'* These simulations are used to compute stress changes from slip deficit modelsThe directory includes two directories: 'Gaussian_SDM' and 'Shallow_coupled_SDMs'. each includesthe necessary scripts and files to generate the corresponding slip deficit model using the Gaussian slip rate deficit (Schmalzle et al., 2014) and shallow-coupled slip rate deficit models (Lindsey et al., 2021).* The output of those scripts is as an ASAGI file used as an input for the dynamic relaxation simulation.

2. The dynamic rupture simulations: 'Cascadia_dynamic_ruture'This directory includes the necessary code and files to generate the NetCDF (.nc) stress changesfile used in dynamic rupture simulations. This code uses an XDMF file (.xdmf), the output ofthe dynamic relaxation simulation as an input.

## SimulationsThis directory includes three directories:1. Input data files (.yaml, .nc, .dat, .out, and .par) for the dynamic relaxation simulations: 'Cascadia_dynamic_relaxation_input'This directory includes a .txt file describing each of the simulations (simulations_description.txt)In total, there are 8 directories corresponding to different dynamic relaxation simulations.Each directory can be read as: type of slip rate deficit model_rigidity profile_scaling factors 2. Input data files (.yaml, .nc, .dat, .out, and .par) for the dynamic rupture simulations: 'Cascadia_dynamic_rupture_input'In total, there are 22 directories corresponding to 22 rupture dynamic simulation models we run in this study.Each directory can be read as: model number_type of slip rate deficit model_rigidity profile_pore fluid pressure ratio_additional information(See pdf file):* A pdf containing Table S1 from the supplementary material for this paper describing each model (simulations_description.pdf).3. Mesh contains the 3D cartesian mesh of the CSZ used to run simulations in this paper.

We converted the geographical coordinates into the cartesian mesh using the Mercator projection:Proj('+proj=merc +lon_0=232 +x_0=-20082.185 +y_0=-4069608 +datum=WGS84 +units=m')
DOI: 10.5281/zenodo.13292389
title: SeisSol input files of the 3D dynamic relaxation and dynamic rupture simulations of the Cascadia subduction zone in preprint Glehman et al. (2024)

description: This dataset contains the input files of the dynamic relaxation and dynamic rupture simulations of the Cascadia subduction zone presented in preprint:

The directory CSZ_Data_Model includes two directories: 'Codes' and 'Simulations.'## CodesThis directory includes two directories, each containing the necessary codes and filesto generate input files for:

1. The dynamic relaxation simulations: 'Cascadia_dynamic_relaxation'* These simulations are used to compute stress changes from slip deficit modelsThe directory includes two directories: 'Gaussian_SDM' and 'Shallow_coupled_SDMs'. each includesthe necessary scripts and files to generate the corresponding slip deficit model using the Gaussian slip rate deficit (Schmalzle et al., 2014) and shallow-coupled slip rate deficit models (Lindsey et al., 2021).* The output of those scripts is as an ASAGI file used as an input for the dynamic relaxation simulation.

2. The dynamic rupture simulations: 'Cascadia_dynamic_ruture'This directory includes the necessary code and files to generate the NetCDF (.nc) stress changesfile used in dynamic rupture simulations. This code uses an XDMF file (.xdmf), the output ofthe dynamic relaxation simulation as an input.

## SimulationsThis directory includes three directories:1. Input data files (.yaml, .nc, .dat, .out, and .par) for the dynamic relaxation simulations: 'Cascadia_dynamic_relaxation_input'This directory includes a .txt file describing each of the simulations (simulations_description.txt)In total, there are 8 directories corresponding to different dynamic relaxation simulations.Each directory can be read as: type of slip rate deficit model_rigidity profile_scaling factors 2. Input data files (.yaml, .nc, .dat, .out, and .par) for the dynamic rupture simulations: 'Cascadia_dynamic_rupture_input'In total, there are 22 directories corresponding to 22 rupture dynamic simulation models we run in this study.Each directory can be read as: model number_type of slip rate deficit model_rigidity profile_pore fluid pressure ratio_additional information(See pdf file):* A pdf containing Table S1 from the supplementary material for this paper describing each model (simulations_description.pdf).3. Mesh contains the 3D cartesian mesh of the CSZ used to run simulations in this paper.

We converted the geographical coordinates into the cartesian mesh using the Mercator projection:Proj('+proj=merc +lon_0=232 +x_0=-20082.185 +y_0=-4069608 +datum=WGS84 +units=m')
DOI: 10.5281/zenodo.14991047
title: SeisSol input files of the 3D dynamic relaxation and dynamic rupture simulations of the Cascadia subduction zone in preprint Glehman et al. (2024)

description: This dataset contains the input files of the dynamic relaxation and dynamic rupture simulations of the Cascadia subduction zone presented in preprint:

The directory CSZ_Data_Model includes two directories: 'Codes' and 'Simulations.'## CodesThis directory includes two directories, each containing the necessary codes and filesto generate input files for:

1. The dynamic relaxation simulations: 'Cascadia_dynamic_relaxation'* These simulations are used to compute stress changes from slip deficit modelsThe directory includes two directories: 'Gaussian_SDM' and 'Shallow_coupled_SDMs'. each includesthe necessary scripts and files to generate the corresponding slip deficit model using the Gaussian slip rate deficit (Schmalzle et al., 2014) and shallow-coupled slip rate deficit models (Lindsey et al., 2021).* The output of those scripts is as an ASAGI file used as an input for the dynamic relaxation simulation.

2. The dynamic rupture simulations: 'Cascadia_dynamic_ruture'This directory includes the necessary code and files to generate the NetCDF (.nc) stress changesfile used in dynamic rupture simulations. This code uses an XDMF file (.xdmf), the output ofthe dynamic relaxation simulation as an input.

## SimulationsThis directory includes three directories:1. Input data files (.yaml, .nc, .dat, .out, and .par) for the dynamic relaxation simulations: 'Cascadia_dynamic_relaxation_input'This directory includes a .txt file describing each of the simulations (simulations_description.txt)In total, there are 8 directories corresponding to different dynamic relaxation simulations.Each directory can be read as: type of slip rate deficit model_rigidity profile_scaling factors 2. Input data files (.yaml, .nc, .dat, .out, and .par) for the dynamic rupture simulations: 'Cascadia_dynamic_rupture_input'In total, there are 22 directories corresponding to 22 rupture dynamic simulation models we run in this study.Each directory can be read as: model number_type of slip rate deficit model_rigidity profile_pore fluid pressure ratio_additional information(See pdf file):* A pdf containing Table S1 from the supplementary material for this paper describing each model (simulations_description.pdf).3. Mesh contains the 3D cartesian mesh of the CSZ used to run simulations in this paper.

We converted the geographical coordinates into the cartesian mesh using the Mercator projection:Proj('+proj=merc +lon_0=232 +x_0=-20082.185 +y_0=-4069608 +datum=WGS84 +units=m')
DOI: 10.15468/dl.ant2xz
title: Occurrence Download

description: A dataset containing 5734 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bromus hordeaceus L."
 ]
}

 The dataset includes 5734 records from 146 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008287-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0060977.10fu
title: SH0060977.10FU

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.fe3hs7
title: Occurrence Download

description: A dataset containing 206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Pakistan",
 "DatasetKey is A global database for the distributions of crop wild relatives",
 "TaxonKey is Brassica juncea"
 ]
}

 The dataset includes 206 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076000-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0060978.10fu
title: SH0060978.10FU

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/sh0060979.10fu
title: SH0060979.10FU

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/sh0060980.10fu
title: SH0060980.10FU

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/sh0060981.10fu
title: SH0060981.10FU

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/sh0060982.10fu
title: SH0060982.10FU

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/sh0060983.10fu
title: SH0060983.10FU

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/sh0060984.10fu
title: SH0060984.10FU

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/sh0060985.10fu
title: SH0060985.10FU

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/sh0060986.10fu
title: SH0060986.10FU

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.