cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18517163
title: The self-breeding fire-lightning interaction cases identified after manual screening of automated detected pyroCbs for 2014-2016 in Africa

description: This is the self-breeding fire-lighnting interaction cases identified after manual screening of automated detected pyroCbs from 2014 to 2016

Usage Notes:

Table 1 Expanded details of variables included in the self-breeding cases identified after manual screening of automated detected cases for 2014-2016.






Variable Name



Explanation/Units



Dtype







sfire_lat, sfire_lon



Coordinates of ignition location (°) of self-bred fire



float64





sfire_start_date



Start date (yyyy-mm-dd) of self-bred fire



datetime64[ms]





sfire_id



Self-bred fire ID in GFA



int32





sfire_size



Fire size (km²) of self-bred fire



float64





sfire_landcover



MCD12Q1 dominant land cover class of self-bred fire



object





plightning_lat, plightning_lon



Coordinates of location (°) of pyrogenic lightning



float64





plightning_time



Pyrogenic lightning time



datetime64[ms]





prefire_id



Preceding fire ID in GFA



int32





prefire_start_date



Start date (yyyy-mm-dd) of preceding fire



datetime64[ms]





prefire_end_date



End date (yyyy-mm-dd) of preceding fire



datetime64[ms]





prefire_size



Fire size (km²) of preceding fire



float64





prefire_landcover



MCD12Q1 dominant land cover class of preceding fire



object





prefire_direction



Dominant direction of spread of preceding fire



object





prefire_lat, prefire_lon



Coordinates of ignition location (°) of preceding fire



float64





prefire_geometry



Polygon of preceding fire (°)



geometry





 

File Name Convention:

PyroCb_fire_and_lightning.{fire_season}.geojson

{fire_season} = the locally-defined fire season in which the fire was ignited (see more below).

 

Fire Season Convention:

Please note that the year string in filenames refers to the locally-defined fire season in which the fire ignited, not the calendar year. Hence the file PyroCb_fire_and_lightning.2015.geojson can include fires from the 2015 fire season that ignited in the calendar years 2014 or 2016. The local definition of the fire season is based on climatological peak in burned area as described by Andela et al. (2019).
DOI: 10.5281/zenodo.18517162
title: The self-breeding fire-lightning interaction cases identified after manual screening of automated detected pyroCbs for 2014-2016 in Africa

description: This is the self-breeding fire-lighnting interaction cases identified after manual screening of automated detected pyroCbs from 2014 to 2016

Usage Notes:

Table 1 Expanded details of variables included in the self-breeding cases identified after manual screening of automated detected cases for 2014-2016.






Variable Name



Explanation/Units



Dtype







sfire_lat, sfire_lon



Coordinates of ignition location (°) of self-bred fire



float64





sfire_start_date



Start date (yyyy-mm-dd) of self-bred fire



datetime64[ms]





sfire_id



Self-bred fire ID in GFA



int32





sfire_size



Fire size (km²) of self-bred fire



float64





sfire_landcover



MCD12Q1 dominant land cover class of self-bred fire



object





plightning_lat, plightning_lon



Coordinates of location (°) of pyrogenic lightning



float64





plightning_time



Pyrogenic lightning time



datetime64[ms]





prefire_id



Preceding fire ID in GFA



int32





prefire_start_date



Start date (yyyy-mm-dd) of preceding fire



datetime64[ms]





prefire_end_date



End date (yyyy-mm-dd) of preceding fire



datetime64[ms]





prefire_size



Fire size (km²) of preceding fire



float64





prefire_landcover



MCD12Q1 dominant land cover class of preceding fire



object





prefire_direction



Dominant direction of spread of preceding fire



object





prefire_lat, prefire_lon



Coordinates of ignition location (°) of preceding fire



float64





prefire_geometry



Polygon of preceding fire (°)



geometry





 

File Name Convention:

PyroCb_fire_and_lightning.{fire_season}.geojson

{fire_season} = the locally-defined fire season in which the fire was ignited (see more below).

 

Fire Season Convention:

Please note that the year string in filenames refers to the locally-defined fire season in which the fire ignited, not the calendar year. Hence the file PyroCb_fire_and_lightning.2015.geojson can include fires from the 2015 fire season that ignited in the calendar years 2014 or 2016. The local definition of the fire season is based on climatological peak in burned area as described by Andela et al. (2019).
DOI: 10.15468/dl.h79w88
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Raddia distichophylla",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 58 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000283-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2dwzt4
title: Occurrence Download

description: A dataset containing 14064 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Melilotus officinalis, Melilotus officinalis, Melilotus officinalis, Melilotus officinalis)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 14064 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000284-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ycwu4
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Raddia guianensis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 37 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000285-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t269xx
title: Occurrence Download

description: A dataset containing 417 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mimulus guttatus, Mimulus guttatus, Erythranthe guttata)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 417 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000286-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17344654
title: Aplicación del sistema Manufacturing Execution Systems aplicado a la Empresa Eduplanet
title: Application of the system manufacturing execution systems applied to the Company Eduplanet

description: Este artículo presenta el diseño e implementación de un Sistemas de Ejecución de Manufactura adaptado al con-texto educativo de la empresa Eduplanet, especializada en la enseñanza del idioma inglés como segunda lengua. El objetivo principal fue desarrollar una solución tecnológica que permita gestionar, monitorear y optimizar los procesos académicos y administrativos en tiempo real, mejorando la eficiencia operativa y la trazabilidad de los servicios educativos.
DOI: 10.5281/zenodo.17344653
title: Aplicación del sistema Manufacturing Execution Systems aplicado a la Empresa Eduplanet
title: Application of the system manufacturing execution systems applied to the Company Eduplanet

description: Este artículo presenta el diseño e implementación de un Sistemas de Ejecución de Manufactura adaptado al con-texto educativo de la empresa Eduplanet, especializada en la enseñanza del idioma inglés como segunda lengua. El objetivo principal fue desarrollar una solución tecnológica que permita gestionar, monitorear y optimizar los procesos académicos y administrativos en tiempo real, mejorando la eficiencia operativa y la trazabilidad de los servicios educativos.
DOI: 10.15468/dl.3brbe8
title: Occurrence Download

description: A dataset containing 1574 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Narcissus pseudonarcissus)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 1574 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000287-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fj5e9b
title: Occurrence Download

description: A dataset containing 230043 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Taxus baccata"
 ]
}

 The dataset includes 230043 records from 1163 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000246-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s24tbq
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Raddiella kaieteurana",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 16 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000288-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8cbpg2
title: Occurrence Download

description: A dataset containing 346692 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-89.5 47.562,-88.157 47.562,-88.157 48.46,-89.5 48.46,-89.5 47.562))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 346692 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000247-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sj93hz
title: Occurrence Download

description: A dataset containing 10971 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Oreopteris limbosperma, Polystichum oreopteris, Lastrea limbosperma, Lastrea limbosperma, Lastrea limbosperma, Dryopteris oreopteris, Dryopteris montana, Thelypteris limbosperma)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 10971 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000289-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8habpx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ratzeburgia pulcherrima",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000290-260208012135463/datasets/export for details.
DOI: 10.15468/dl.t9ef5a
title: Occurrence Download

description: A dataset containing 2077865 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gallinago gallinago",
 "Continent is Europe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2077865 records from 1773 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000229-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0162148.10fu
title: SH0162148.10FU

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/sh0162149.10fu
title: SH0162149.10FU

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/sh0162150.10fu
title: SH0162150.10FU

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/sh0162151.10fu
title: SH0162151.10FU

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/sh0162152.10fu
title: SH0162152.10FU

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/sh0162153.10fu
title: SH0162153.10FU

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/sh0162154.10fu
title: SH0162154.10FU

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/sh0162155.10fu
title: SH0162155.10FU

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/sh0162156.10fu
title: SH0162156.10FU

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.