cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0178347.10fu
title: SH0178347.10FU

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.37ysc6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((75.35332099999999 21.500944, 75.27784 21.495368, 75.204234 21.478777, 75.13433000000001 21.451584, 75.069863 21.414463, 75.012427 21.368337, 74.96343899999999 21.314348, 74.92410099999999 21.253833, 74.895375 21.18829, 74.877956 21.119337, 74.872258 21.048676, 74.878404 20.978048, 74.89622799999999 20.90919, 74.925275 20.843795, 74.96481799999999 20.783466, 75.01387800000001 20.729684, 75.071243 20.683764, 75.135504 20.646831, 75.20508599999999 20.619786, 75.278288 20.60329, 75.35332099999999 20.597746, 75.428354 20.60329, 75.50155599999999 20.619786, 75.571138 20.646831, 75.63539900000001 20.683764, 75.692764 20.729684, 75.74182399999999 20.783466, 75.781367 20.843795, 75.81041399999999 20.90919, 75.828238 20.978048, 75.834384 21.048676, 75.828686 21.119337, 75.811267 21.18829, 75.78254099999999 21.253833, 75.74320299999999 21.314348, 75.694215 21.368337, 75.636779 21.414463, 75.572312 21.451584, 75.502408 21.478777, 75.428802 21.495368, 75.35332099999999 21.500944))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001629-260108223611665/datasets/export for details.
DOI: 10.5281/zenodo.18200269
title: Co-evaluación participativa del MA-ECSCuba (2025): respuestas de cuestionario

description: Este conjunto de datos contiene las respuestas a un cuestionario de co-evaluación participativa orientado a valorar la propuesta MA-ECSCuba (Modelo Alternativo para la Evaluación de la Investigación de las Ciencias Sociales en Cuba). El instrumento integra: (a) variables de caracterización de las personas participantes (categoría investigativa/docente, disciplina/área, afiliación institucional y ubicación geográfica, entre otras); (b) ítems cerrados en escala ordinal 1-5 sobre claridad, pertinencia, factibilidad e inclusión del modelo; y (c) preguntas abiertas con valoraciones y recomendaciones para su mejora e implementación.





Número de respuestas: 24




Periodo de recolección: 2025-08-25 a 2025-11-03 (marca temporal del formulario)




Cobertura geográfica: Cuba (diversas provincias reportadas por participantes)




Formato del archivo: CSV (delimitado por punto y coma “;”, codificación UTF-8)




Idioma: Español
DOI: 10.5281/zenodo.18200271
title: Co-evaluación participativa del MA-ECSCuba (2025): respuestas de cuestionario

description: Este conjunto de datos contiene las respuestas a un cuestionario de co-evaluación participativa orientado a valorar la propuesta MA-ECSCuba (Modelo Alternativo para la Evaluación de la Investigación de las Ciencias Sociales en Cuba). El instrumento integra: (a) variables de caracterización de las personas participantes (categoría investigativa/docente, disciplina/área, afiliación institucional y ubicación geográfica, entre otras); (b) ítems cerrados en escala ordinal 1-5 sobre claridad, pertinencia, factibilidad e inclusión del modelo; y (c) preguntas abiertas con valoraciones y recomendaciones para su mejora e implementación.





Número de respuestas: 24




Periodo de recolección: 2025-08-25 a 2025-11-03 (marca temporal del formulario)




Cobertura geográfica: Cuba (diversas provincias reportadas por participantes)




Formato del archivo: CSV (delimitado por punto y coma “;”, codificación UTF-8)




Idioma: Español
DOI: 10.15156/bio/sh0178348.10fu
title: SH0178348.10FU

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/sh0178349.10fu
title: SH0178349.10FU

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: 10.5281/zenodo.18200073
title: Treinos de modelos para identificação de classes no âmbito da limpeza de vegetação
DOI: 10.15156/bio/sh0178350.10fu
title: SH0178350.10FU

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: 10.5281/zenodo.18200072
title: Treinos de modelos para identificação de classes no âmbito da limpeza de vegetação
DOI: 10.5281/zenodo.18200144
title: Surveys 1 and 2 investigating the use of local anaesthetic topicalization in paediatric airways
DOI: 10.5281/zenodo.18200145
title: Surveys 1 and 2 investigating the use of local anaesthetic topicalization in paediatric airways
DOI: 10.15156/bio/sh0178351.10fu
title: SH0178351.10FU

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/sh0178352.10fu
title: SH0178352.10FU

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/sh0178353.10fu
title: SH0178353.10FU

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/sh0178354.10fu
title: SH0178354.10FU

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/sh0178355.10fu
title: SH0178355.10FU

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/sh0178356.10fu
title: SH0178356.10FU

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: 10.5281/zenodo.14801722
title: MD simulation of 50-lipid DPPC monolayers in the water-air interface, Berger+SPC @298.15K

description: This record contains the simulation files of 50-lipid DPPC monolayers simulated in the water-air interface without counterions. 

The initial strcuture of the systems was assembled using previously simulated bilayer (10.5281/zenodo.17237), and equilibrated with GROMACS v.2024.x through few steps with increasing of temperature and integration step size. Then the monolayer were equilibrated at zero sufrace tension, and then the membrane was then compressed and expanded in a simulation using PLUMED, from which states at different values of area per lipid (APL) were extracted.

Each of these systems was the initial state of a 200 ns long simulation in the NVT ensemble (T=298.15 K), the ones here provided.

For all simulations, we used the parameters of OPLS-AA-compatible Berger (see ref.) and SPC water model.

Files provided:



Compressed file with all ITP files with the parameters used for the simulations (we use "oplsaa.ff/forcefield.itp" as well, but it's a standard OPLS-AA distribution coming with GROMACS).

TOP file for topology.

MDP file used for the production simulations and corresponding NDX file.

For each simulation, TRR of the simulation, trajectory in TRR format, energy contributions in EDR format,  CPT generated and GRO with the final state of the system. All files corresponding to the same simulation are labeled as NVT_XX, where XX is the nominal APL at which the simulations were carried out.
DOI: 10.5281/zenodo.14801723
title: MD simulation of 50-lipid DPPC monolayers in the water-air interface, Berger+SPC @298.15K

description: This record contains the simulation files of 50-lipid DPPC monolayers simulated in the water-air interface without counterions. 

The initial strcuture of the systems was assembled using previously simulated bilayer (10.5281/zenodo.17237), and equilibrated with GROMACS v.2024.x through few steps with increasing of temperature and integration step size. Then the monolayer were equilibrated at zero sufrace tension, and then the membrane was then compressed and expanded in a simulation using PLUMED, from which states at different values of area per lipid (APL) were extracted.

Each of these systems was the initial state of a 200 ns long simulation in the NVT ensemble (T=298.15 K), the ones here provided.

For all simulations, we used the parameters of OPLS-AA-compatible Berger (see ref.) and SPC water model.

Files provided:



Compressed file with all ITP files with the parameters used for the simulations (we use "oplsaa.ff/forcefield.itp" as well, but it's a standard OPLS-AA distribution coming with GROMACS).

TOP file for topology.

MDP file used for the production simulations and corresponding NDX file.

For each simulation, TRR of the simulation, trajectory in TRR format, energy contributions in EDR format,  CPT generated and GRO with the final state of the system. All files corresponding to the same simulation are labeled as NVT_XX, where XX is the nominal APL at which the simulations were carried out.
DOI: 10.15468/dl.pxzyjg
title: Occurrence Download

description: A dataset containing 731043 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is FishBase Database"
 ]
}

 The dataset includes 731043 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011424-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/tbkymj739k
title: Faecal prevalence, distribution and risk factors associated with canine soil-transmitted helminths contaminating urban parks across Australia

description: Table 3:  Apparent and estimated true prevalence of gastrointestinal parasites of dogs found in parks in Australia based on centrifugal faecal floatation and qPCRs. A total of 1581 faecal samples from 190 dog parks were analyzed.
Table 4: The apparent prevalence of the main species of canine soil-transmitted helminths in each climatic region.
Table 5: Proportion of contaminated parks with the main species of canine soil-transmitted helminths in each location.
DOI: 10.15468/dl.uma3jv
title: Occurrence Download

description: A dataset containing 22126624 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Passer domesticus (Linnaeus, 1758)"
 ]
}

 The dataset includes 22126624 records from 5181 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011423-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sw45vb
title: Occurrence Download

description: A dataset containing 4789 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Burkina Faso",
 "TaxonKey is Muridae"
 ]
}

 The dataset includes 4789 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0282650-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ny55ju
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-122.82028 38.84826,-123.07365 38.85468,-123.13545 38.84078,-123.13545 38.80654,-123.37303 38.80654,-123.36891 38.77657,-123.53302 38.77122,-123.32428 38.56964,-123.12241 38.44498,-123.05649 38.30503,-122.99332 38.30287,-122.91092 38.32227,-122.74612 38.20797,-122.56828 38.18747,-122.48589 38.11295,-122.4052 38.15022,-122.40658 38.15724,-122.35886 38.19502,-122.36984 38.25328,-122.50992 38.42132,-122.47971 38.45574,-122.62802 38.58038,-122.62527 38.66192,-122.82028 38.84826))",
 "HasCoordinate is true",
 "TaxonKey is Geothlypis trichas sinuosa Grinnell, 1901",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 19 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004303-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sh544r
title: Occurrence Download

description: A dataset containing 118 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Opisthotropis latouchii (Boulenger, 1899)"
 ]
}

 The dataset includes 118 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0411770-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ur2mnw
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bacteria",
 "DecimalLatitude is greater than 43.86234914317",
 "DecimalLatitude is less than 45.3765053424856",
 "DecimalLongitude is greater than -111.535936400431",
 "DecimalLongitude is less than -109.445594426693"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005529-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ycr2b6
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Zamia lacandona Schutzman & Vovides",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 29 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019184-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.