cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0102100.10fu
title: SH0102100.10FU

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: 10.13145/bacdive110414.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive110414.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0102101.10fu
title: SH0102101.10FU

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: 10.13145/bacdive110415.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0102102.10fu
title: SH0102102.10FU

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: 10.13145/bacdive110415.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive110416.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0102103.10fu
title: SH0102103.10FU

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.846sej
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Ethiopia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ehretia cymosa Thonn."
 ]
}

 The dataset includes 60 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0249942-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m32y7c
title: Occurrence Download

description: A dataset containing 120 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Holoaden bradei Lutz, 1958"
 ]
}

 The dataset includes 120 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0246179-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t98a88
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC-BY-NC 4.0, CC-BY 4.0)",
 "TaxonKey is Selenicereus spinulosus (DC.) Britton & Rose"
 ]
}

 The dataset includes 88 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010344-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.32qpct
title: Occurrence Download

description: A dataset containing 148 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is ITA.13_1",
 "TaxonKey is Popillia japonica Newman, 1838"
 ]
}

 The dataset includes 148 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0249960-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y3yntm
title: Occurrence Download

description: A dataset containing 584 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Agave karwinskii Zucc."
 ]
}

 The dataset includes 584 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0246180-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5w74z3
title: Occurrence Download

description: A dataset containing 283 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hesperolinon disjunctum H.Sharsm."
 ]
}

 The dataset includes 283 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0241736-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qy7wax
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Choloepus didactylus (Linnaeus, 1758)"
 ]
}

 The dataset's 2 records were derived from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010350-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.77adpd
title: Occurrence Download

description: A dataset containing 6313556 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 1960-2024"
 ]
}

 The dataset includes 6313556 records from 2404 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069462-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/g8byeb
title: Pautas para el manejo y ordenamiento de una pesquería multiespecífica de crustáceos en un área natural protegida: El caso de la Ría Celestún, Yucatán

description: Proyecto financiado parcialmente con resursos de la Fundación MacArthur
Se pretende realizar un diagnóstico del estado de la pesquería de crustáceos en la ría de Celestún, propone esquemas de manejo comunitario, mecanismos de monitoreo y formación de recursos humanos. Para lo anterior, se llevará a cabo talleres participativos y mesas de discusión tanto para los miembros de la comunidad como con las autoridades gubernamentales y centros de investigación. Se establecerá un ciclo anual de muestreos mensuales y un procedimiento de encuestas a pescadores para la obtención de la información. El proceso de análisis de muestras y procesamiento de la información se hará en el laboratorio y se presentarán reportes cuatrimestrales, así como uno final. Se tendrá la asesoría de un especialista en el área de trabajo y se apoyarán la elaboración de dos tesis profesionales.Reino: 1
Filo: 1
Clase: 1
Orden: 1
Familia: 2
Género: 2
Especie: 8
DOI: 10.15468/dl.kkwsk8
title: Occurrence Download

description: A dataset containing 1085 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyperus sphacelatus Rottb.",
 "Continent is Africa"
 ]
}

 The dataset includes 1085 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000801-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15127051
title: Data for the paper: "Steady undisturbed velocity correction scheme for Euler-Lagrange simulations near planar walls"

description: Datafiles for the paper:

 

Steady undisturbed velocity correction scheme for Euler-Lagrange simulations near planar walls

 

authored by: Akshay Chandran, Fabien Evrard, and Berend van Wachem.

 

Data description

 





The data provides the particle positions, velocities, and relative errors for figures in the paper for the parallel settling and perpendicular falling particle cases.



The data is organized into the following two folders:

 

1. case_parallelsettling: 



The subfolder error_data contains error values shown in figure 12 of the manuscript. The file plot_error.py can be used to access this data.

The subfolder re-0.01 contains particle velocity data for three different particle diameter to mesh-spacing ratios of dp/dx = 0.1, 0.5, and 1 corresponding to figures 9, 10, and 11 in the paper. Each of these subfolders contain folders corresponding to different Stokes numbers of St = 0.016, 0.16, 1.6, 3.2, 8, and 16. Data for one-way coupled, two-way coupled with correction, and two-way coupled without correction simulations are within the files reference.dat, withcorrection.dat, and withoutcorrection.dat respectively. The first column in each of these files is the time-step from the simulation, and the second column contains the particle velocity in the wall-parallel direction. The file plot_data.py can be used to access these files.



 

2. case_perpendicularfalling:

 





This folder contains subfolders corresponding to the four different Stokes numbers of St = 0.025, 0.25, 2.5, and 5, as shown in figures 13 and 14 of the paper. Data for one-way coupled, two-way coupled with correction, and two-way coupled without correction simulations are within the files reference.dat, withcorrection.dat, and withoutcorrection.dat respectively. Each of these files contain the first column as the time-step from the simulation, the second column as the distance of the particle center from the wall, and the third column as the velocity of the particle in the wall-normal direction. The file plot_data.py can be used to access these files.



 

Acknowledgements

 

This project has received funding from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), grant numbers 457515061 and 457509672.
DOI: 10.5281/zenodo.15127052
title: Data for the paper: "Steady undisturbed velocity correction scheme for Euler-Lagrange simulations near planar walls"

description: Datafiles for the paper:

 

Steady undisturbed velocity correction scheme for Euler-Lagrange simulations near planar walls

 

authored by: Akshay Chandran, Fabien Evrard, and Berend van Wachem.

 

Data description

 





The data provides the particle positions, velocities, and relative errors for figures in the paper for the parallel settling and perpendicular falling particle cases.



The data is organized into the following two folders:

 

1. case_parallelsettling: 



The subfolder error_data contains error values shown in figure 12 of the manuscript. The file plot_error.py can be used to access this data.

The subfolder re-0.01 contains particle velocity data for three different particle diameter to mesh-spacing ratios of dp/dx = 0.1, 0.5, and 1 corresponding to figures 9, 10, and 11 in the paper. Each of these subfolders contain folders corresponding to different Stokes numbers of St = 0.016, 0.16, 1.6, 3.2, 8, and 16. Data for one-way coupled, two-way coupled with correction, and two-way coupled without correction simulations are within the files reference.dat, withcorrection.dat, and withoutcorrection.dat respectively. The first column in each of these files is the time-step from the simulation, and the second column contains the particle velocity in the wall-parallel direction. The file plot_data.py can be used to access these files.



 

2. case_perpendicularfalling:

 





This folder contains subfolders corresponding to the four different Stokes numbers of St = 0.025, 0.25, 2.5, and 5, as shown in figures 13 and 14 of the paper. Data for one-way coupled, two-way coupled with correction, and two-way coupled without correction simulations are within the files reference.dat, withcorrection.dat, and withoutcorrection.dat respectively. Each of these files contain the first column as the time-step from the simulation, the second column as the distance of the particle center from the wall, and the third column as the velocity of the particle in the wall-normal direction. The file plot_data.py can be used to access these files.



 

Acknowledgements

 

This project has received funding from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), grant numbers 457515061 and 457509672.
DOI: 10.15468/gj4qs5
title: Conservación y monitoreo de anfibios en riesgo de extinción en Chiapas

description: Se realizará un estudio con duración de 30 meses, enfocado a sentar las bases para la conservación y monitoreo de anfibios en riesgo de extinción en Chiapas. Dicho estudio se realizará en tres fases. En la primera, se establecerá una línea base de conocimiento de los anfibios de Chiapas, conformándose un listado de especies, con datos de localidad precisa, con base en registros de campo, de 1950 a la fecha, de presencia/ausencia de especies de anfibios de Chiapas. En la segunda fase, resultado de un taller de análisis con la participación de expertos nacionales y extranjeros en estudios sobre monitoreo de anfibios, se desarrollará, validará y difundirá un protocolo normalizado para el monitoreo de anfibios. La tercera fase considera implementar la actividad de monitoreo piloto de las especies y poblaciones de anfibios seleccionadas. Los resultados incluyen: la integración de una base de datos con todos los registros de campo (previos y generados en campo durante el desarrollo del proyecto); un banco de imágenes sobre todas las especies seleccionadas y las características generales de los sitios muestreados; lista actualizada de las especies de anfibios con distribución en el Estado de Chiapas. Con base en las amenazas detectadas para las especies de anfibios estudiadas, el informe final, incluye un documento con recomendaciones factibles para la conservación y manejo de las especies y de sus hábitats en las diferentes regiones de Chiapas.

Palabras clave: Anfibios, línea base de conocimiento, protocolo estandarizado de monitoreo, estrategia conservación, Chiapas.
Reino: 1
Filo: 1
Clase: 1
Orden: 3
Familia: 11
Género: 32
Especie: 84
DOI: 10.34740/kaggle/dsv/11255990
title: Balochi Language to English Translation Dataset
DOI: 10.15468/8zh9v5
title: Florística, biodiversidad y conocimiento ecológico tradicional en la Sierra Nororiental de Puebla, México

description: "Florística, Biodiversidad y Conocimiento Ecológico Tradicional en la Sierra Nororiental de Puebla, México" ofrece una colaboración altamente sinérgica entre botánicos, lingüistas, antropólogos, genetistas moleculares y comunidades indígenas, cada uno con múltiples habilidades y recursos para perseguir metas que serían difíciles de lograr para individuos trabajando por su cuenta en estas disciplinas separadas.
A través de la amplia recolección de campo, los participantes crearán una biblioteca de referencia multifacética cultural y botánica de la flora de la Sierra Nororiental de Puebla.
Reino: 1
Filo: 1
Clase: 5
Orden: 64
Familia: 217
Género: 1161
Subgénero: 17
Especie: 2582
Epitetoinfraespecifico: 124
DOI: 10.15468/dl.87eyq7
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "Country is one of (United States of America, United States Minor Outlying Islands, American Samoa, Micronesia (Federated States of), Guam, Marshall Islands, Northern Mariana Islands, Puerto Rico, Palau, Virgin Islands (U.S.))",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Vallisneria spiralis L.)"
 ]
}

 The dataset includes 92 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000803-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2fz4gj
title: Occurrence Download

description: A dataset containing 1235 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyperus squarrosus L.",
 "Continent is Africa"
 ]
}

 The dataset includes 1235 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000802-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7q5rra
title: Occurrence Download

description: A dataset containing 166412 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "CoordinateUncertaintyInMeters 0.0-10000.0",
 "Geometry POLYGON((-11.36435 35.55364,-6.22589 35.79882,-4.39018 36.03215,8.84152 38.2089,16.5649 34.83439,20.06851 40.18237,14.97087 43.27971,13.39512 44.97612,14.17315 48.28182,14.28711 51.56867,7.33548 52.9634,-7.77473 51.74365,-9.98851 45.77258,-9.94764 41.32123,-11.36435 37.21431,-11.36435 35.55364))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Metrioptera Wesmaël, 1838, Zeuneriana Ramme, 1951, Bicolorana Zeuner, 1941, Roeseliana Zeuner, 1941)",
 "Year 2000-2025"
 ]
}

 The dataset includes 166412 records from 1261 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000795-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/8fxcsu
title: Computarización de la base de datos de la colección ictiológica de la Universidad Michoacana

description: Se habrá de conformar la base de datos que permita el acceso y uso eficiente de la información referente a los organismos que conforman la Colección de Peces de la Universidad Michoacana (CPUM), así como la actualización de la información y el mantenimiento de 8710 lotes que actualmente la integran, haciendo énfasis a los correspondientes a especies invasoras ó exóticas. 
Las actividades a realizar durante el presente proyecto serán:
Determinación taxonómica de los ejemplares contenidos en 640 lotes que aún faltan por identificar para su depósito en la CPUM.
Reemplazo de contenedores de PET inadecuados, por tarros de cristal con tapa plástica hermética.
Reemplazo y/o verificación del nivel de alcohol para la correcta preservación de los organismos.
Computarización de la base de datos mediante el uso del programa Biótica ® V. 5.0
Curado, depósito e incorporación a la base de datos de los organismos colectados durante los proyectos de investigación y tesis de licenciatura, maestría y doctorado que se han realizado en la Facultad de Biología de la Universidad Michoacana.Reino: 1
Filo: 1
Clase: 4
Orden: 43
Familia: 137
Género: 369
Especie: 917
Epitetoinfraespecifico: 2