cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8334836
title: Air Traffic Management hotspots in Europe with airline cost functions

description: This dataset contains data related to Air Traffic Management hotspots. Hotspots are created in the European airspaces when capacity for some pieces of airspace are foreseen to be infringed due to weather, congestion, strikes, etc. This anonymised dataset records around 5900 hotspots happening at 22 major European airports. These hotspots are generated through a simulator called Mercury that is fed with real data (in particular, real capacity reduction that happened in Europe for over a year, schedules etc) and simulates a day of operation, randomising events like delays, cancellation etc. More details on mercury can be found here [1] and [2]. The data, anonymised in terms of airports and airlines, is a dictionary which is structured as follows: - the top level key is the id of the airport, the value is list a of all regulations available for this airport. - each item of the list is a dictionary, with keys: -- 'slot_times': list of all slots available to flights for this hotspot/regulation, in minutes since midnight. -- 'etas': list of initial estimated arrival times of flights involved in the regulation, in minutes since midnight. -- 'flight_ids': list of flight ids (in the same order than etas) -- 'cost_vectors': list of cost vectors. Each item is a list itself, of length equal to the slot_times list. Each element of that list is the estimated cost that the airline owning the flight would incur, were the flight be assigned to this slot, in terms of: maintenance, crew, rebooking fees, market value loss, and curfew infringement, in 2014 euros. This cost is computed within the Mercury model and is based on [3]. -- 'airlines_flights': dictionary whose keys are airline ids and values are lists of ids of flights owned by the airline. [1] https://www.sciencedirect.com/science/article/abs/pii/S0968090X21003600 [2] G. Gurtner, L. Delgado, and D.Valput, “An agent-based model for air transportation to capture network effects in assessing delay management mechanisms”, Transportation Research Part C: emerging Technologies, 2021. Pre-print available here: https://westminsterresearch.westminster.ac.uk/item/v956w/an-agent-based-model-for-air-transportation-to-capture-network-effects-in-assessing-delay-management-mechanisms [3] A. J. Cook and G. Tanner, “European airline delay cost reference values - updated and extended values (Version 4.1),” University of Westminster, London, 2015a
DOI: 10.15468/dl.poky52
title: Occurrence Download

description: A dataset containing 4705 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((-14.15039 52.3756,7.11914 52.3756,7.11914 53.43572,-14.15039 53.43572,-14.15039 52.3756))",
 "Geometry POLYGON((-30.58594 29.53523,58.71094 29.53523,58.71094 71.30079,-30.58594 71.30079,-30.58594 29.53523))"
 ]
 },
 "TaxonKey is Aedes albopictus (Skuse, 1894)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4705 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008990-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11383710
title: Air Traffic Management hotspots in Europe with airline cost functions

description: This dataset contains data related to Air Traffic Management hotspots. Hotspots are created in the European airspaces when capacity for some pieces of airspace are foreseen to be infringed due to weather, congestion, strikes, etc. This anonymised dataset records around 5900 hotspots happening at 22 major European airports. These hotspots are generated through a simulator called Mercury that is fed with real data (in particular, real capacity reduction that happened in Europe for over a year, schedules etc) and simulates a day of operation, randomising events like delays, cancellation etc. More details on mercury can be found here [1] and [2].


The data, anonymised in terms of airports and airlines, is a dictionary which is structured as follows:


- the top level key is the id of the airport, the value is list a of all regulations available for this airport.


- each item of the list is a dictionary, with keys:


 -- 'slot_times': list of all slots available to flights for this hotspot/regulation, in minutes since midnight.


 -- 'etas': list of initial estimated arrival times of flights involved in the regulation, in minutes since midnight.


 -- 'flight_ids': list of flight ids (in the same order than etas)


 -- 'cost_vectors': list of cost vectors. Each item is a list itself, of length equal to the slot_times list. Each element of that list is the estimated cost that the airline owning the flight would incur, were the flight be assigned to this slot, in terms of: maintenance, crew, rebooking fees, market value loss, and curfew infringement, in 2014 euros. This cost is computed within the Mercury model and is based on [3].


 -- 'airlines_flights': dictionary whose keys are airline ids and values are lists of ids of flights owned by the airline.


[1] https://www.sciencedirect.com/science/article/abs/pii/S0968090X21003600 


[2] G. Gurtner, L. Delgado, and D.Valput, “An agent-based model for air transportation to capture network effects in assessing delay management mechanisms”, Transportation Research Part C: emerging Technologies, 2021.


Pre-print available here: https://westminsterresearch.westminster.ac.uk/item/v956w/an-agent-based-model-for-air-transportation-to-capture-network-effects-in-assessing-delay-management-mechanisms


[3] A. J. Cook and G. Tanner, “European airline delay cost reference values - updated and extended values (Version 4.1),” University of Westminster, London, 2015a
DOI: 10.15468/dl.st4vqy
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Ecuador",
 "TaxonKey is Pristimantis spinosus (Lynch, 1979)"
 ]
}

 The dataset includes 108 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047293-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11246043
title: Air Traffic Management hotspots in Europe with airline cost functions

description: This dataset contains data related to Air Traffic Management hotspots. Hotspots are created in the European airspaces when capacity for some pieces of airspace are foreseen to be infringed due to weather, congestion, strikes, etc. This anonymised dataset records around 5900 hotspots happening at 22 major European airports. These hotspots are generated through a simulator called Mercury that is fed with real data (in particular, real capacity reduction that happened in Europe for over a year, schedules etc) and simulates a day of operation, randomising events like delays, cancellation etc. More details on mercury can be found here [1] and [2].


The data, anonymised in terms of airports and airlines, is a dictionary which is structured as follows:


- the top level key is the id of the airport, the value is list a of all regulations available for this airport.


- each item of the list is a dictionary, with keys:


 -- 'slot_times': list of all slots available to flights for this hotspot/regulation, in minutes since midnight.


 -- 'etas': list of initial estimated arrival times of flights involved in the regulation, in minutes since midnight.


 -- 'flight_ids': list of flight ids (in the same order than etas)


 -- 'cost_vectors': list of cost vectors. Each item is a list itself, of length equal to the slot_times list. Each element of that list is the estimated cost that the airline owning the flight would incur, were the flight be assigned to this slot, in terms of: maintenance, crew, rebooking fees, market value loss, and curfew infringement, in 2014 euros. This cost is computed within the Mercury model and is based on [3].


 -- 'airlines_flights': dictionary whose keys are airline ids and values are lists of ids of flights owned by the airline.


[1] https://www.sciencedirect.com/science/article/abs/pii/S0968090X21003600 


[2] G. Gurtner, L. Delgado, and D.Valput, “An agent-based model for air transportation to capture network effects in assessing delay management mechanisms”, Transportation Research Part C: emerging Technologies, 2021.


Pre-print available here: https://westminsterresearch.westminster.ac.uk/item/v956w/an-agent-based-model-for-air-transportation-to-capture-network-effects-in-assessing-delay-management-mechanisms


[3] A. J. Cook and G. Tanner, “European airline delay cost reference values - updated and extended values (Version 4.1),” University of Westminster, London, 2015a
DOI: 10.5281/zenodo.8334835
title: Air Traffic Management hotspots in Europe with airline cost functions

description: This dataset contains data related to Air Traffic Management hotspots. Hotspots are created in the European airspaces when capacity for some pieces of airspace are foreseen to be infringed due to weather, congestion, strikes, etc. This anonymised dataset records around 5900 hotspots happening at 22 major European airports. These hotspots are generated through a simulator called Mercury that is fed with real data (in particular, real capacity reduction that happened in Europe for over a year, schedules etc) and simulates a day of operation, randomising events like delays, cancellation etc. More details on mercury can be found here [1] and [2].


The data, anonymised in terms of airports and airlines, is a dictionary which is structured as follows:


- the top level key is the id of the airport, the value is list a of all regulations available for this airport.


- each item of the list is a dictionary, with keys:


 -- 'slot_times': list of all slots available to flights for this hotspot/regulation, in minutes since midnight.


 -- 'etas': list of initial estimated arrival times of flights involved in the regulation, in minutes since midnight.


 -- 'flight_ids': list of flight ids (in the same order than etas)


 -- 'cost_vectors': list of cost vectors. Each item is a list itself, of length equal to the slot_times list. Each element of that list is the estimated cost that the airline owning the flight would incur, were the flight be assigned to this slot, in terms of: maintenance, crew, rebooking fees, market value loss, and curfew infringement, in 2014 euros. This cost is computed within the Mercury model and is based on [3].


 -- 'airlines_flights': dictionary whose keys are airline ids and values are lists of ids of flights owned by the airline.


[1] https://www.sciencedirect.com/science/article/abs/pii/S0968090X21003600 


[2] G. Gurtner, L. Delgado, and D.Valput, “An agent-based model for air transportation to capture network effects in assessing delay management mechanisms”, Transportation Research Part C: emerging Technologies, 2021.


Pre-print available here: https://westminsterresearch.westminster.ac.uk/item/v956w/an-agent-based-model-for-air-transportation-to-capture-network-effects-in-assessing-delay-management-mechanisms


[3] A. J. Cook and G. Tanner, “European airline delay cost reference values - updated and extended values (Version 4.1),” University of Westminster, London, 2015a
DOI: 10.15468/dl.zz87x9
title: Occurrence Download

description: A dataset containing 1483 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Système d'Information sur la Nature et les Paysages d'Ile de France - Données du naturaliste Doux Yves provenant de la base de donnée du SINP Île-de-France CETTIA"
 ]
}

 The dataset includes 1483 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011612-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uerf43
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phoma bacteriophila Peck",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is Poland",
 "Country is Poland"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0394765-210914110416597/datasets/export for details.
DOI: 10.15468/dl.44k2qu
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Benin",
 "TaxonKey is Cleome gynandra L."
 ]
}

 The dataset includes 64 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028668-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sho0vd
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Abies chensiensis Tiegh.",
 "DecimalLatitude is greater than or equal to -90",
 "DecimalLongitude is greater than or equal to -180"
 ]
}

 The dataset includes 48 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023547-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x7tweg
title: Occurrence Download

description: A dataset containing 183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Ecuador",
 "TaxonKey is Pristimantis pycnodermis (Lynch, 1979)"
 ]
}

 The dataset includes 183 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047287-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h0bdcz
title: Occurrence Download

description: A dataset containing 973 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Spectacled bear database for Peru"
 ]
}

 The dataset includes 973 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007985-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jbhvwg
title: Occurrence Download

description: A dataset containing 70137 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Senecio jacobaea L."
 ]
}

 The dataset includes 70137 records from 197 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018778-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rmdwue
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Montivipera xanthina (Gray, 1849)",
 "Country is Türkiye"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089391-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sgcty6
title: Occurrence Download

description: A dataset containing 21093 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Elasmobranchii"
 ]
}

 The dataset includes 21093 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003567-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yzdbr6
title: Occurrence Download

description: A dataset containing 74456 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventaire des coléoptères saproxyliques de France métropolitaine - Données SAPROX - Ecole d'ingénieur de Purpan"
 ]
}

 The dataset includes 74456 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011598-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gnvwwm
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acleris gloveranus (Walsingham, 1879)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089407-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tdsuzl
title: Occurrence Download

description: A dataset containing 2235 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Parastrellus hesperus (H.Allen, 1864)"
 ]
}

 The dataset includes 2235 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012542-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ujfher
title: Occurrence Download

description: A dataset containing 149 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Système d'Information sur la Nature et les Paysages d'Ile de France - Données du/de la naturaliste CHAPUIS Vincent provenant de la base de donnée du SINP Île-de-France CETTIA"
 ]
}

 The dataset includes 149 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011619-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tikuvb
title: Occurrence Download

description: A dataset containing 301 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mastigoproctus giganteus (Lucas, 1835)"
 ]
}

 The dataset includes 301 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019523-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jeisrd
title: Occurrence Download

description: A dataset containing 225 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Welwitschia mirabilis Hook.f.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 225 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016255-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.l82fvz
title: Occurrence Download

description: A dataset containing 203 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Système d'Information sur la Nature et les Paysages d'Ile de France - Données du naturaliste Jonathan Voise"
 ]
}

 The dataset includes 203 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011613-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.oinvd6
title: Occurrence Download

description: A dataset containing 212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Abies fargesii Franch.",
 "DecimalLatitude is greater than or equal to -90",
 "DecimalLongitude is greater than or equal to -180"
 ]
}

 The dataset includes 212 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023555-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.1mbwr8
title: Occurrence Download

description: A dataset containing 1207 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abies lasiocarpa (Hook.) Nutt.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1207 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000731-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.st725g
title: Occurrence Download

description: A dataset containing 3269 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Greenland",
 "Country is Iceland",
 "Country is Svalbard and Jan Mayen",
 "Country is Denmark"
 ]
 },
 "TaxonKey is Pinguicula L."
 ]
}

 The dataset includes 3269 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029133-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j1ufhn
title: Occurrence Download

description: A dataset containing 190 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Abies forrestii Coltm.-Rog.",
 "DecimalLatitude is greater than or equal to -90",
 "DecimalLongitude is greater than or equal to -180"
 ]
}

 The dataset includes 190 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023557-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2zjluf
title: Occurrence Download

description: A dataset containing 285 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "TaxonKey is Cucurbita pepo L."
 ]
}

 The dataset includes 285 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002711-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vdmpem
title: Occurrence Download

description: A dataset containing 186 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quercus gravesii Sudw.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 186 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021286-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qobtsp
title: Occurrence Download

description: A dataset containing 443 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Brachycephalus Fitzinger, 1826",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 443 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000642-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.