cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.cmvtk5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Enaphalodes rufulus (Haldeman, 1847)",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is Switzerland",
 "Country is Switzerland"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0400590-210914110416597/datasets/export for details.
DOI: 10.15468/dl.czichr
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010019-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kvfj0z
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015303-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nl3kx0
title: Occurrence Download

description: A dataset containing 1561805182 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 1561805182 records from 18344 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001669-171124123535762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9crzku
title: Occurrence Download

description: A dataset containing 1531 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Triatoma pallidipennis (Stål, 1872)"
 ]
}

 The dataset includes 1531 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034203-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wzq8x7
title: Occurrence Download

description: A dataset containing 3875 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Unknown evidence"
 ]
 },
 {
 "or" : [
 "Continent is Europe",
 "Continent is South America",
 "Continent is North America",
 "Continent is Africa"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Phosichthyidae"
 ]
}

 The dataset includes 3875 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0156431-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6q4pfj
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Felicia puberula Grau"
 ]
}

 The dataset includes 18 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003805-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u26yrt
title: Occurrence Download

description: A dataset containing 2972 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-7.12463 48.14758,1.65344 48.14758,1.65344 51.37756,-7.12463 51.37756,-7.12463 48.14758))",
 "HasCoordinate is true",
 "TaxonKey is Portunidae",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2972 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034204-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jzt694
title: Occurrence Download

description: A dataset containing 176 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Betula pendula subsp. fontqueri (Rothm.) G.Moreno & Peinado"
 ]
}

 The dataset includes 176 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0147712-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6v9nk9
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calyptrocalyx albertisianus Becc."
 ]
}

 The dataset includes 67 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076619-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xxmwo6
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spilogale pygmaea Thomas, 1898"
 ]
}

 The dataset includes 92 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034204-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ganvqn
title: Occurrence Download

description: A dataset containing 20740 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is EDP Foz-Tua: Phytobenthos – Ecological Monitoring Program [2011-2015]"
 ]
}

 The dataset includes 20740 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004201-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.0qkl70
title: Occurrence Download

description: A dataset containing 219 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "TaxonKey is Agrostis perennans (Walter) Tuck.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 219 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034208-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.akvcvw
title: Occurrence Download

description: A dataset containing 18030393 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 18030393 records from 2137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0147714-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15000701
title: An Archive for High-Resolution Hydrodynamic-Sediment Transport Model Output: An Example for Use in PyMT Geomorphic Models

description: This dataset includes the Regional Ocean Modeling System (ROMS) output used in the Undzis and Moriarty (2025) demonstration project. For this project, ROMS was implemented for July 1 – August 5, 2019, for the Alaskan Beaufort Sea shelf.

Files in this archive include: 



Output from ROMS: ocean_his_beaufort_rivers_13rivs_nosections_chaflaradnudclm_7932171_subset_bed_his1thru5.nc

Model Grid Used as Input for ROMS: KakAKgrd_shelf_big010_smooth006.nc


Key variables in each of the files include:  



Variables for ocean_his_beaufort_rivers_13rivs_nosections_chaflaradnudclm_7932171_subset_bed_his1thru5.nc:



bath: Ocean bathymetry in the model grid

bed_porosity: Porosity of each sediment layer in the seabed

bed_thickness: Thickness of each seabed layer

bstrcwmax: The maximum bed shear stress, from the combined wave- and current-induced bed shear stresses

bustrw: Wind-induced bed shear stress in the u-direction

bvstrw: Wind-induced bed shear stress in the v-direction

mud_05: Suspended sediment concentrations for unaggregated mud from the Colville River

mud_06: Suspended sediment concentrations for aggregated mud from the Colville River

mudfrac_05: The fraction of each vertical seabed layer that is comprised of unaggregated mud from the Colville River

mudfrac_06: The fraction of each vertical seabed layer that is comprised of aggregated mud from the Colville River

mudmass_05: The mass of unaggregated mud from the Colville River in each vertical seabed layer 

mudmass_06: The mass of aggregated mud from the Colville River in each vertical seabed laye

ocean_time: Model time



Variables for KakAKgrd_shelf_big010_smooth006.nc:



angle: Angle between the grid’s horizontal (xi) dimension and east




Contact Information: Please reach out to Brianna (Brianna.Undzis@colorado.edu) and/or Julia (Julia.Moriarty@colorado.edu) if you have any questions. 

 

References





Undzis, B., J. Moriarty (2025). Demonstration Project: Leveraging Output from a High-Resolution 3D Hydrodynamic-Sediment Transport Model to Run Landlab's Simple Submarine Diffuser. HydroShare, http://www.hydroshare.org/resource/f06cc2e465434767839d507872a7c62f
DOI: 10.5281/zenodo.15000702
title: An Archive for High-Resolution Hydrodynamic-Sediment Transport Model Output: An Example for Use in PyMT Geomorphic Models

description: This dataset includes the Regional Ocean Modeling System (ROMS) output used in the Undzis and Moriarty (2025) demonstration project. For this project, ROMS was implemented for July 1 – August 5, 2019, for the Alaskan Beaufort Sea shelf.

Files in this archive include: 



Output from ROMS: ocean_his_beaufort_rivers_13rivs_nosections_chaflaradnudclm_7932171_subset_bed_his1thru5.nc

Model Grid Used as Input for ROMS: KakAKgrd_shelf_big010_smooth006.nc


Key variables in each of the files include:  



Variables for ocean_his_beaufort_rivers_13rivs_nosections_chaflaradnudclm_7932171_subset_bed_his1thru5.nc:



bath: Ocean bathymetry in the model grid

bed_porosity: Porosity of each sediment layer in the seabed

bed_thickness: Thickness of each seabed layer

bstrcwmax: The maximum bed shear stress, from the combined wave- and current-induced bed shear stresses

bustrw: Wind-induced bed shear stress in the u-direction

bvstrw: Wind-induced bed shear stress in the v-direction

mud_05: Suspended sediment concentrations for unaggregated mud from the Colville River

mud_06: Suspended sediment concentrations for aggregated mud from the Colville River

mudfrac_05: The fraction of each vertical seabed layer that is comprised of unaggregated mud from the Colville River

mudfrac_06: The fraction of each vertical seabed layer that is comprised of aggregated mud from the Colville River

mudmass_05: The mass of unaggregated mud from the Colville River in each vertical seabed layer 

mudmass_06: The mass of aggregated mud from the Colville River in each vertical seabed laye

ocean_time: Model time



Variables for KakAKgrd_shelf_big010_smooth006.nc:



angle: Angle between the grid’s horizontal (xi) dimension and east




Contact Information: Please reach out to Brianna (Brianna.Undzis@colorado.edu) and/or Julia (Julia.Moriarty@colorado.edu) if you have any questions. 

 

References





Undzis, B., J. Moriarty (2025). Demonstration Project: Leveraging Output from a High-Resolution 3D Hydrodynamic-Sediment Transport Model to Run Landlab's Simple Submarine Diffuser. HydroShare, http://www.hydroshare.org/resource/f06cc2e465434767839d507872a7c62f
DOI: 10.15468/dl.ueqy8j
title: Occurrence Download

description: A dataset containing 1378 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nothovernonia purpurea (Sch.Bip. ex Walp.) H.Rob. & V.A.Funk",
 "Continent is Africa"
 ]
}

 The dataset includes 1378 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004876-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60574/100221
title: Gravity-dependent walk-run transition via saddle-node bifurcation and cusp catastrophe

description: The data used in Mau Adachi, Kazuo Tsuchiya, and Shinya Aoi, Gravity-dependent walk-run transition via saddle-node bifurcation and cusp catastrophe, Physical Review Research, 7, 013303 (2025). DOI: https://doi.org/10.1103/PhysRevResearch.7.013303
DOI: 10.15468/dl.rkf4vn
title: Occurrence Download

description: A dataset containing 148183502 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 148183502 records from 7461 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006334-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1182975.10fu
title: SH1182975.10FU

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/sh1182977.10fu
title: SH1182977.10FU

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/sh1182979.10fu
title: SH1182979.10FU

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/sh1182987.10fu
title: SH1182987.10FU

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/sh1182988.10fu
title: SH1182988.10FU

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/sh1182989.10fu
title: SH1182989.10FU

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/sh1182990.10fu
title: SH1182990.10FU

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/sh1182993.10fu
title: SH1182993.10FU

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/sh1182998.10fu
title: SH1182998.10FU

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.