cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0214266.10fu
title: SH0214266.10FU

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/sh0214267.10fu
title: SH0214267.10FU

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/sh0214268.10fu
title: SH0214268.10FU

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/sh0214269.10fu
title: SH0214269.10FU

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.f8qscm
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Casuariiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-60 -30,-30 -30,-30 0,-60 0,-60 -30))"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057522-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17242943
title: FOCCUS WP9 MS9.1 Applications prototype: ESC1 - 1.2.1 - Coastal erosion dynamics assessment of the Mediterranean Sea

description: Dataset Description

 

Overview

This dataset contains example image and data on analysed simulation outputs from the FOCCUS WP9 MS9.1 Applications prototype:  ESC1-1.2.1 - Coastal erosion dynamics assessment of the Mediterranean Sea. The prototype application used SHYFEM-MPI integrated with the new sediment module to investigate the coastal erosion risk. Simulations were carried out in the Lazio coastal areas using a coupled unstructured-grid circulation, wave and sediment model.

LC-MSCS Setup for Lazio Coastal Areas

Underlying simulations were conducted using a coupled modeling approach integrating the hydrodynamic model SHYFEM-MPI , the wave model WW3, and the sediment transport module developed in the FOCCUS project.  

Data Structure

The folder contains:



NetCDF outputs - cmsfs.sco.nos.nc

Plot of Suspended Sediment concentration - tiber.jpg
DOI: 10.5281/zenodo.17242944
title: FOCCUS WP9 MS9.1 Applications prototype: ESC1 - 1.2.1 - Coastal erosion dynamics assessment of the Mediterranean Sea

description: Dataset Description

 

Overview

This dataset contains example image and data on analysed simulation outputs from the FOCCUS WP9 MS9.1 Applications prototype:  ESC1-1.2.1 - Coastal erosion dynamics assessment of the Mediterranean Sea. The prototype application used SHYFEM-MPI integrated with the new sediment module to investigate the coastal erosion risk. Simulations were carried out in the Lazio coastal areas using a coupled unstructured-grid circulation, wave and sediment model.

LC-MSCS Setup for Lazio Coastal Areas

Underlying simulations were conducted using a coupled modeling approach integrating the hydrodynamic model SHYFEM-MPI , the wave model WW3, and the sediment transport module developed in the FOCCUS project.  

Data Structure

The folder contains:



NetCDF outputs - cmsfs.sco.nos.nc

Plot of Suspended Sediment concentration - tiber.jpg
DOI: 10.15468/dl.7582jq
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eupatorium capillifolium",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057524-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xtneht
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eupatorium capillifolium",
 "Country is Nepal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057525-250920141307145/datasets/export for details.
DOI: 10.5281/zenodo.17279499
title: FOCCUS WP9 MS9.1 Applications prototype: ESC1 - 1.2.2 - Western Black Sea Erosion Assessment

description: OverviewThe output from the GCOAST-BS model is provided as an example for the FOCCUS WP9 MS9.1 Applications prototype: ESC1-1.2.2 - Coastal erosion dynamics assessment of the North-Western Black Sea using cross-scale models. This prototype dataset demonstrates the application of GCOAST-BS in assessing coastal erosion. It is derived from simulations conducted with the Member State Coastal System GCOAST-BS, which utilizes a seamless, unstructured domain coupled model integrating hydrodynamic, wave, and sediment modules.

 

GCOAST-BS Setup for Northwestern Black Sea

 

The results presented here are derived from numerical experiments conducted using the hydrodynamic model SCHISM, coupled with the wave model WWM and the sediment transport model SED3D. The model setup is detailed in FOCCUS deliverables D6.1 and D8.1. For further information, please refer to the updated SCHISM manual available at https://ccrm.vims.edu/schismweb/schism_manual.html, as well as the list of related publications at https://ccrm.vims.edu/schismweb/schism_pubs.html.



Data Structure

 

This dataset includes four key fields relevant to coastal erosion assessment, provided in NetCDF format along with corresponding map plots (PNG). The model outputs are delivered in the file gcoast_bs_ESC1.nc, whose contents are detailed in the table below.

 




Variable 
Description
Unit/Content


lat
Latitude
Decimal degrees


lon
Longitude
Decimal degrees


taub_p95
95th percentile of combined bottom stress
Pa


sed_p95
95th percentile of near-bottom suspended sediment concentration
kg/m³


SWH_p95
95th percentile of wave significant height
m


taucr_p95
95th percentile of critical bottom stress, categorized: 0 = No risk, 1 = Low, 2 = Increased, 3 = High
Risk index (0–3)




References for resources used on the map plots:Thyng, K. M., Greene, C. A., Hetland, R. D., Zimmerle, H. M., & DiMarco, S. F. (2016). True colors of oceanography: Guidelines for effective and accurate colormap selection. Oceanography, 29(3), 9-13.Tian, D., Leong, W. J., Fröhlich, Y., Grund, M., Schlitzer, W., Jones, M., Toney, L., Yao, J., Tong, J.-H., Magen, Y., Materna, K., Belem, A., Newton, T., Anant, A., Ziebarth, M., Quinn, J., Uieda, L., & Wessel, P. (2025). PyGMT: A Python interface for the Generic Mapping Tools (v0.17.0). Zenodo. https://doi.org/10.5281/zenodo.17156962
DOI: 10.5281/zenodo.17279500
title: FOCCUS WP9 MS9.1 Applications prototype: ESC1 - 1.2.2 - Western Black Sea Erosion Assessment

description: OverviewThe output from the GCOAST-BS model is provided as an example for the FOCCUS WP9 MS9.1 Applications prototype: ESC1-1.2.2 - Coastal erosion dynamics assessment of the North-Western Black Sea using cross-scale models. This prototype dataset demonstrates the application of GCOAST-BS in assessing coastal erosion. It is derived from simulations conducted with the Member State Coastal System GCOAST-BS, which utilizes a seamless, unstructured domain coupled model integrating hydrodynamic, wave, and sediment modules.

 

GCOAST-BS Setup for Northwestern Black Sea

 

The results presented here are derived from numerical experiments conducted using the hydrodynamic model SCHISM, coupled with the wave model WWM and the sediment transport model SED3D. The model setup is detailed in FOCCUS deliverables D6.1 and D8.1. For further information, please refer to the updated SCHISM manual available at https://ccrm.vims.edu/schismweb/schism_manual.html, as well as the list of related publications at https://ccrm.vims.edu/schismweb/schism_pubs.html.



Data Structure

 

This dataset includes four key fields relevant to coastal erosion assessment, provided in NetCDF format along with corresponding map plots (PNG). The model outputs are delivered in the file gcoast_bs_ESC1.nc, whose contents are detailed in the table below.

 




Variable 
Description
Unit/Content


lat
Latitude
Decimal degrees


lon
Longitude
Decimal degrees


taub_p95
95th percentile of combined bottom stress
Pa


sed_p95
95th percentile of near-bottom suspended sediment concentration
kg/m³


SWH_p95
95th percentile of wave significant height
m


taucr_p95
95th percentile of critical bottom stress, categorized: 0 = No risk, 1 = Low, 2 = Increased, 3 = High
Risk index (0–3)




References for resources used on the map plots:Thyng, K. M., Greene, C. A., Hetland, R. D., Zimmerle, H. M., & DiMarco, S. F. (2016). True colors of oceanography: Guidelines for effective and accurate colormap selection. Oceanography, 29(3), 9-13.Tian, D., Leong, W. J., Fröhlich, Y., Grund, M., Schlitzer, W., Jones, M., Toney, L., Yao, J., Tong, J.-H., Magen, Y., Materna, K., Belem, A., Newton, T., Anant, A., Ziebarth, M., Quinn, J., Uieda, L., & Wessel, P. (2025). PyGMT: A Python interface for the Generic Mapping Tools (v0.17.0). Zenodo. https://doi.org/10.5281/zenodo.17156962
DOI: 10.5281/zenodo.17285266
title: Validation of anomaly ESA CCI SM combined v09.2 vs ISMN 20250617 global

description: QA4SM validation: anomaly ESA CCI SM combined v09.2 vs ISMN 20250617 global. URL: https://qa4sm.eu/ui/validation-result/1f1854a0-e1ae-4d46-8693-b4454368b0bb. Produced on QA4SM (https://qa4sm.eu)
DOI: 10.5281/zenodo.17285265
title: Validation of anomaly ESA CCI SM combined v09.2 vs ISMN 20250617 global

description: QA4SM validation: anomaly ESA CCI SM combined v09.2 vs ISMN 20250617 global. URL: https://qa4sm.eu/ui/validation-result/1f1854a0-e1ae-4d46-8693-b4454368b0bb. Produced on QA4SM (https://qa4sm.eu)
DOI: 10.15468/dl.z65kbu
title: Occurrence Download

description: A dataset containing 116554 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Clarias gracilentus, Balitora annamitica, Bathyaethiops baka, Aphyosemion elberti, Pelvicachromis kribensis, Aphyosemion melanogaster, Aphyosemion melinoeides, Paramphilius goodi, Parananochromis orsorum, Garra allostoma, Aphyosemion punctulatum, Aphyosemion omega, Labeobarbus mungoensis, Aphyosemion bitaeniatum, Aphyosemion koungueense, Coregonus nelsonii, Creagrutus nigrostigmatus, Pimelodella conquetaensis, Spatuloricaria euacanthagenys, Sturisomatichthys caquetae, Microlepidogaster perforatus, Orestias gloriae, Membras argentea, Cathorops mapale, Chaetostoma stannii, Rineloricaria caracasensis, Anablepsoides hartii, Farlowella martini, Poecilia hondurensis, Astroblepus acostai, Gambusia puncticulata, Atractosteus tristoechus, Sicydium plumieri, Cynodonichthys birkhahni, Cynodonichthys kuelpmanni, Cynodonichthys monikae, Astyanax stilbe, Chasmocranus chimantanus, Exastilithoxus fimbriatus, Aequidens chimantanus, Brachyglanis magoi, Sternarchorhynchus gnomus, Pseudancistrus reus, Pseudancistrus sidereus, Stenodus leucichthys, Pterocryptis verecunda, Creagrutus veruina, Creagrutus provenzanoi, Chasmocranus truncatorostris, Dolichancistrus cobrensis, Chaetostoma tachiraense, Apteronotus cuchillejo, Nematolebias catimbau, Notholebias vermiculatus, Astroblepus guentheri, Panaque cochliodon, Ichthyoelephas longirostris, Pseudopimelodus magnus, Apteronotus milesi, Callichthys fabricioi, Chaetostoma aburrense, Characidium caucanum, Characidium phoxocephalum, Hemibrycon dentatus, Hyphessobrycon poecilioides, Pimelodella macrocephala, Cetopsorhamdia boquillae, Hemibrycon palomae, Aphyocharax yekwanae, Pseudepapterus gracilis, Anablepsoides caurae, Hemigrammus taphorni, Labeo kontius, Oreichthys coorgensis, Neolissochilus acutirostris, Garra mcclellandi, Dario neela, Chiloglanis normani, Ancistrus formoso, Sinocyclocheilus luolouensis, Sinocyclocheilus gracilicaudatus, Sinocyclocheilus huangtianensis, Schistura papulifera, Draconectes narinosus, Hemibagrus punctatus, Caecobarbus geertsii, Lucifuga simile, Speolabeo musaei, Pimelodella kronei, Kayahschistura lokalayensis, Uegitglanis zammaranoi, Clarias cavernicola, Bibarba parvoculus, Parotocinclus cearensis, Labeobarbus pellegrini, Clypeobarbus congicus, Campylomormyrus bredoi, Campylomormyrus luapulaensis)",
 "HasCoordinate is true",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 116554 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057500-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ahz3p
title: Occurrence Download

description: A dataset containing 284712 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyprinus carpio"
 ]
}

 The dataset includes 284712 records from 965 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057486-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14457/nida.the.2023.61
title: The casual effects of decomposed theory of planned behavior influencing behavior intention toward holistic wellness destination in Phuket thailand via life quality & well-being
DOI: 10.14457/nida.the.2023.62
title: The impact of social capital and intelectual capital on knowledge management practices in public organizations in Thailand in becoming learning organizations
DOI: 10.14457/nida.the.2023.63
title: Thailand’s public health decentralization policy: a case of pro-social rule breaking of thai local health staff
DOI: 10.14457/nida.the.2023.64
title: Determinants of resilience to Covid-19: A cross-country analysis of coping capacity, adaptive capacity, and disaster risk management
DOI: 10.14457/nida.the.2024.50
title: The board of directors, ownership structures, and firm characteristics affecting companies' performance in Thailand and Vietnam
DOI: 10.14457/nida.the.2024.51
title: The effect and drive of tax progressivity on tax systems in the East Asia-Pacific
DOI: 10.14457/nida.the.2024.52
title: Factors influencing the success and failure of the implementation of the government welfare card policy
DOI: 10.14457/nida.the.2023.65
title: An analysis of the determinants of defense expenditure in Thailand (1992-2022)
DOI: 10.14457/nida.the.2024.53
title: Collaboration in public services: Case studies of the royal irrigation department
DOI: 10.15468/dl.e2nqjd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Casuariiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-90 -30,-60 -30,-60 0,-90 0,-90 -30))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057526-250920141307145/datasets/export for details.
DOI: 10.15468/dl.zhcjnh
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Galliformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((60 -30,90 -30,90 0,60 0,60 -30))"
 ]
}

 The dataset includes 74 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057528-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j66mkq
title: Occurrence Download

description: A dataset containing 4528 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((2.21703 49.15401,2.22307 49.15918,2.2244 49.16232,2.23123 49.16436,2.23547 49.1668,2.23304 49.16986,2.22354 49.17449,2.21962 49.18123,2.21334 49.17809,2.21256 49.17605,2.20393 49.17441,2.19898 49.17511,2.18682 49.17331,2.19239 49.16844,2.19671 49.16695,2.19875 49.16499,2.20636 49.15801,2.21703 49.15401))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 4528 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057527-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17285307
title: Validation of ESA CCI SM active v09.2 vs ISMN 20250617 global

description: QA4SM validation: ESA CCI SM active v09.2 vs ISMN 20250617 global. URL: https://qa4sm.eu/ui/validation-result/a997d366-d579-499e-ab73-d6c6d50b7097. Produced on QA4SM (https://qa4sm.eu)
DOI: 10.5281/zenodo.17285308
title: Validation of ESA CCI SM active v09.2 vs ISMN 20250617 global

description: QA4SM validation: ESA CCI SM active v09.2 vs ISMN 20250617 global. URL: https://qa4sm.eu/ui/validation-result/a997d366-d579-499e-ab73-d6c6d50b7097. Produced on QA4SM (https://qa4sm.eu)
DOI: 10.15468/dl.crnfwh
title: Occurrence Download

description: A dataset containing 461489 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Galliformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((0 -30,30 -30,30 0,0 0,0 -30))"
 ]
}

 The dataset includes 461489 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057488-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3bgzke
title: Occurrence Download

description: A dataset containing 139982 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ludwigia, Ludwigia, Ludwigia)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 139982 records from 1541 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057502-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bv9m25
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "TaxonKey is Desmodium wydlerianum Urb."
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069929-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/42897af5-71dd-4896-b083-d5862ef0f7d1
title: Quotation data from an embedded study at an airport organization about the transformation to a multimodal transport hub

description: Data set of an embedded study at an airport organization about the transformation towards an multimodal transport hub. Data is result of (in)formal conversations, diary notes, meetings notes and observations. This is a condensed data set, representing quotes and notes that were deemed relevant to the study's topic. The data has been collected over 16 months, and the data set includes (anonymous) quotations and parafrases, en also condensed meaning units (the interpretation of the researchers).