cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0160203.10fu
title: SH0160203.10FU

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/sh0160204.10fu
title: SH0160204.10FU

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/sh0160205.10fu
title: SH0160205.10FU

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/sh0160206.10fu
title: SH0160206.10FU

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/sh0160207.10fu
title: SH0160207.10FU

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/sh0160208.10fu
title: SH0160208.10FU

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.8hq8zf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ruditapes philippinarum",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "Country is South Africa",
 "GadmGid is ETH"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001000-260108223611665/datasets/export for details.
DOI: 10.15156/bio/sh0160209.10fu
title: SH0160209.10FU

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.kphdd5
title: Occurrence Download

description: A dataset containing 523 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ricinus communis",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 523 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022118-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f9by3t
title: Occurrence Download

description: A dataset containing 4463 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Heracleum persicum, Heracleum glabrescens, Heracleum persicum, Heracleum carmeli, Heracleum persicum glabrescens, Heracleum pubescens laeve, Heracleum amplissimum, Heracleum tromsoensis, Heracleum persicum buhseanum, Selinum persicum, Heracleum pubescens persicum)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 4463 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022119-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jm8t68
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Codatractus valeriana"
 ]
}

 The dataset includes 32 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022122-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.buuj7r
title: Occurrence Download

description: A dataset containing 1068 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ricinus communis",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1068 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022120-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t783zs
title: Occurrence Download

description: A dataset containing 75505 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Lonicera japonica"
 ]
}

 The dataset includes 75505 records from 779 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022029-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18408002
title: Geometry of breaking waves at natural sea

description: Breaking wave geometry has historically been investigated through laboratory studies, with very limited open ocean observations. Understanding wave geometry is key for modeling air-sea gas exchange, energy dissipation, and satellite measurements. We measured the geometry—including area, length, height, duration, and speed—of over 16000 breaking waves in the Black Sea. Our analysis reveals that real-world breaking waves do not conform to a self-similar geometry, nor are there predictable relationships between a wave's breaking speed and its geometric properties. The results indicate that wave breaking geometry is complex and sea-state dependent.
DOI: 10.5281/zenodo.18408001
title: Geometry of breaking waves at natural sea

description: Breaking wave geometry has historically been investigated through laboratory studies, with very limited open ocean observations. Understanding wave geometry is key for modeling air-sea gas exchange, energy dissipation, and satellite measurements. We measured the geometry—including area, length, height, duration, and speed—of over 16000 breaking waves in the Black Sea. Our analysis reveals that real-world breaking waves do not conform to a self-similar geometry, nor are there predictable relationships between a wave's breaking speed and its geometric properties. The results indicate that wave breaking geometry is complex and sea-state dependent.
DOI: 10.15468/dl.7se9vh
title: Occurrence Download

description: A dataset containing 260339 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-70.69479 -25.67584,-68.46319 -25.43662,-68.49624 -25.42036,-68.3062 -25.14395,-68.43865 -24.76965,-68.27165 -24.46445,-67.26391 -24.04407,-66.90896 -22.95661,-67.15546 -22.77975,-67.63839 -22.86242,-67.78196 -22.85806,-67.79067 -22.57092,-68.13426 -20.86205,-70.21404 -20.86106,-70.11833 -21.36655,-70.17217 -21.66566,-70.24096 -22.09638,-70.32179 -22.82217,-70.29771 -22.89601,-70.35762 -22.98772,-70.41009 -23.05013,-70.45504 -23.07421,-70.50159 -23.00197,-70.58989 -23.08063,-70.61941 -23.36943,-70.64489 -23.53507,-70.61431 -23.55291,-70.52257 -23.54781,-70.49199 -23.47901,-70.43848 -23.51468,-70.41044 -23.59878,-70.41299 -23.64465,-70.44102 -23.71345,-70.50728 -23.78226,-70.51493 -23.85616,-70.52767 -23.84597,-70.55846 -24.39421,-70.59668 -24.65669,-70.58649 -24.75863,-70.54008 -24.9296,-70.49003 -24.98876,-70.4961 -25.05246,-70.5234 -25.09948,-70.50823 -25.16925,-70.46728 -25.35429,-70.53705 -25.38614,-70.63867 -25.49838,-70.69479 -25.67584))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 260339 records from 387 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017347-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18395428
title: Dataset for 'Magnetic Pressure Dominance Stabilizes AGN Disks Against Gravitational Instability'

description: This deposit contains the data shown in the figures in the journal article, 'Magnetic Pressure Dominance Stabilizes AGN Disks Against Gravitational Instability (arXiv:2508.16842).'

General formatting information: Each column has a descriptive header. In filenames, b25 refers to simulations with initial beta = 1e2.5; b4 refers to simulations with initial beta = 1e4; q1 refers to simulations with initial Q = 1.0; q10 refers to simulations with initial Q = 10.0. MHD/pure MHD refers to simulations performed without self-gravity. 

There are 34 total files for the nine figures as follows:

Fig. 1 & 2: b25_q1_stresses.txt, b25_q10_stresses.txt, vol_avg_stresses_beta_1e2_5_pure_MHD.txt, b4_q1_stresses.txt, b4_q10_stresses.txt,vol_avg_stresses_beta_1e4_pure_MHD.txt

Fig. 3: b25_q1_mag_press.txt, b25_q10_mag_press.txt, b25_MHD_mag_press.txt, b4_q1_mag_press.txt, b4_q10_mag_press.txt, b4_MHD_mag_press.txt

Fig. 4: hor_avg_beta_b25_q1.txt, hor_avg_beta_b25_q10.txt, hor_avg_beta_b25_MHD.txt

Fig. 5: hor_avg_beta_b4_q1.txt, hor_avg_beta_b4_q10.txt, hor_avg_beta_b4_MHD.txt

Fig. 6: hor_avg_rho_b25_q1.txt, hor_avg_rho_b25_q10.txt, hor_avg_rho_beta_1e2_5_MHD.txt, hor_avg_rho_b4_q1.txt, hor_avg_rho_b4_q10.txt, hor_avg_rho_beta_1e4_MHD.txt

Fig. 7: density_vert_slice_*

Fig. 8: Q_realized_b25_q1.txt, Q_realized_b4_q1.txt

Fig. 9: Q_realized_b25_q10.txt, Q_realized_b4_q10.txt
DOI: 10.5281/zenodo.18395427
title: Dataset for 'Magnetic Pressure Dominance Stabilizes AGN Disks Against Gravitational Instability'

description: This deposit contains the data shown in the figures in the journal article, 'Magnetic Pressure Dominance Stabilizes AGN Disks Against Gravitational Instability (arXiv:2508.16842).'

General formatting information: Each column has a descriptive header. In filenames, b25 refers to simulations with initial beta = 1e2.5; b4 refers to simulations with initial beta = 1e4; q1 refers to simulations with initial Q = 1.0; q10 refers to simulations with initial Q = 10.0. MHD/pure MHD refers to simulations performed without self-gravity. 

There are 34 total files for the nine figures as follows:

Fig. 1 & 2: b25_q1_stresses.txt, b25_q10_stresses.txt, vol_avg_stresses_beta_1e2_5_pure_MHD.txt, b4_q1_stresses.txt, b4_q10_stresses.txt,vol_avg_stresses_beta_1e4_pure_MHD.txt

Fig. 3: b25_q1_mag_press.txt, b25_q10_mag_press.txt, b25_MHD_mag_press.txt, b4_q1_mag_press.txt, b4_q10_mag_press.txt, b4_MHD_mag_press.txt

Fig. 4: hor_avg_beta_b25_q1.txt, hor_avg_beta_b25_q10.txt, hor_avg_beta_b25_MHD.txt

Fig. 5: hor_avg_beta_b4_q1.txt, hor_avg_beta_b4_q10.txt, hor_avg_beta_b4_MHD.txt

Fig. 6: hor_avg_rho_b25_q1.txt, hor_avg_rho_b25_q10.txt, hor_avg_rho_beta_1e2_5_MHD.txt, hor_avg_rho_b4_q1.txt, hor_avg_rho_b4_q10.txt, hor_avg_rho_beta_1e4_MHD.txt

Fig. 7: density_vert_slice_*

Fig. 8: Q_realized_b25_q1.txt, Q_realized_b4_q1.txt

Fig. 9: Q_realized_b25_q10.txt, Q_realized_b4_q10.txt
DOI: 10.25921/a3my-4r39
title: EM304 Water Column Sonar Data Collected During EX2501
DOI: 10.1184/r1/31004116
title: RSA of selective auditory attention using EEG (alpha-derived RDMs)

description: Data files associated with An et al. (2023). Contains bootstrapped representational dissimilarity matrices (RDMs) derived from the alpha-band oscillatory power at each timepoint.
DOI: 10.1184/r1/31004116.v1
title: RSA of selective auditory attention using EEG (alpha-derived RDMs)

description: Data files associated with An et al. (2023). Contains bootstrapped representational dissimilarity matrices (RDMs) derived from the alpha-band oscillatory power at each timepoint.
DOI: 10.25584/3016895
title: PNNL-ANL Hydrometeorological Super Ensemble

description: The current dataset contains data upload links to the following **hydrologic (water balance), river routing (water management), and hydropower simulation** data over CONUS:
*   Climate Forcing: **Livneh** (https://www.nature.com/articles/sdata201542)
    
*   Simulation Scenario: **Historical**
    
*   Simulation Period: **1971-2013 (1972-2013 for Hydropower)**
    
*   Simulation Models: **VIC (Variable Infiltration Capacity)**, **mosartwmpy (Model for Scale Adaptive River Transport-Water Management in Python)**, and **PNNL B1Hydro**
    
*   Output Format: **NetCDF** and **CSV**
DOI: 10.25584/3016897
title: PNNL-ANL Hydrometeorological Super Ensemble

description: The current dataset contains data upload links to the following hydrologic (water balance), river routing (water management), and hydropower simulation data over CONUS:

Climate Forcing: ClimRR (https://climrr.anl.gov/climrrdata)
Simulation Scenario: Historical, Mid-Century, End-Century
Simulation Period: 1995-2004, 2045-2054, 2085-2094
Simulation Models: VIC (Variable Infiltration Capacity), mosartwmpy (Model for Scale Adaptive River Transport-Water Management in Python), and PNNL B1Hydro
Output Format: NetCDF and CSV
DOI: 10.13020/5etj-a120
title: Data for Thermodynamics of proton insertion across the perovskite-brownmillerite transition in La0.5Sr0.5CoO3-δ

description: This repository exists to share the data and scripts used in the paper "Thermodynamics of proton insertion across the perovskite-brownmillerite transition in La0.5Sr0.5CoO3-δ" by Armand J. Lannerd, Nathan J. Szymanski, and Christopher J. Bartel. The files are contained in the folder `protonation-of-lsco` with additional detailed information presented in the `README.md` files of each subfolder (`scripts`, `figures`, `dos_data`, and `data`).
description: The `protonation-of-lsco` zip includes the plots which appear in our manuscript, along with the data and scripts used to generate them. In addition to the structures, energies, and other data related to host, oxygen vacancy, and hydrogen interstitial structures of La0.5Sr0.5CoO3-δ (and SrCoO2.5), metadata (e.g., INCAR settings) related to the first-principle calculations is included in the data files. Each subfolder (`scripts`, `figures`, `dos_data`, and `data`) contains a detailed README.md file that provides additional information related to the files contained within.
DOI: 10.15468/dl.jh2u76
title: Occurrence Download

description: A dataset containing 167955 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((-124.5 20.6,-103.7 20.6,-103.7 42,-124.5 42,-124.5 20.6))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (December, January, February, March)",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (28eb1a3f-1c15-4a95-931a-4af90ecb574d, e2e717bf-551a-4917-bdc9-4fa0f342c530, 0c6d40e3-5d96-4a2d-9342-b02833aaa766, c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f, bb646dff-a905-4403-a49b-6d378c2cf0d9, 1f00d75c-f6fc-4224-a595-975e82d7689c)",
 "TaxonKey is Recurvirostra americana",
 "Year 2000-2026"
 ]
}

 The dataset includes 167955 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017362-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ykjhzc
title: Occurrence Download

description: A dataset containing 240 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Peperomia reptans"
 ]
}

 The dataset includes 240 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017378-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15472/cshar4
title: Colección del Herbario del Jardín Botánico de la Universidad Nacional de Colombia Sede Caribe

description: El herbario del Jardín Botánico de San Andrés (HJBSAI-UN) alberga una colección valiosa de ejemplares botánicos preservados, los cuales han sido recolectados entre 1990-2012, en las diferentes islas e islotes que componen el archipiélago de San Andrés, Providencia y Santa Catalina. Dentro de la colección, los ejemplares de plantas angiospermas se encuentran adecuadamente organizados en compactadores. La organización de los ejemplares dentro de estos sigue el sistema APG IV (2016), con algunas modificaciones.