cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30086727
title: Genomic analyses of five <i>Fusarium</i> species infecting cannabis (<i>Cannabis sativa</i> L.) plants in Canada and their potential for mycotoxin production

description: <i>Fusarium</i> species are important pathogens that affect many vegetable, cereal, and pulse crops in Canada. These pathogens also infect a diverse range of horticultural crops, including cannabis (<i>Cannabis sativa</i> L.). A range of disease symptoms have been reported on cannabis plants upon infection by several <i>Fusarium</i> species, which include root rot, wilting, stem rot, and bud rot. In this study, we report the genome sequences of five <i>Fusarium</i> species that were recovered from symptomatic greenhouse-grown cannabis plants in British Columbia: <i>F. graminearum</i>, <i>F. sporotrichioides</i>, <i>F. culmorum, F. proliferatum</i>, and <i>F. oxysporum</i>. Comparative genomic analysis revealed that the isolates from cannabis displayed a high percentage genome alignment to currently recognized pathogenic <i>Fusarium</i> species infecting other crops. This may suggest that horizontal transmission of the pathogens has occurred between these crops, potentially through air, soil, or seed-borne inoculum. In addition, analysis of secondary metabolites and toxin production in the <i>Fusarium</i> species affecting cannabis indicated they have the potential to produce several mycotoxins, including trichothecenes, fumonisin, zearalenone, beauvericin and culmorin. Further epidemiological and <i>in planta</i> studies are needed to establish the extent to which horizontal spread of <i>Fusarium</i> species from horticultural and field crops to cannabis plants is occurring and the impact this can have on post-harvest quality and mycotoxin production. Studies on genetic changes that may be occurring in the <i>Fusarium</i> species as they adapt to cannabis as a host would provide evolutionary insights into the pathogenicity of this complex, versatile and important group of plant pathogens.
DOI: 10.6084/m9.figshare.30086727.v1
title: Genomic analyses of five <i>Fusarium</i> species infecting cannabis (<i>Cannabis sativa</i> L.) plants in Canada and their potential for mycotoxin production

description: <i>Fusarium</i> species are important pathogens that affect many vegetable, cereal, and pulse crops in Canada. These pathogens also infect a diverse range of horticultural crops, including cannabis (<i>Cannabis sativa</i> L.). A range of disease symptoms have been reported on cannabis plants upon infection by several <i>Fusarium</i> species, which include root rot, wilting, stem rot, and bud rot. In this study, we report the genome sequences of five <i>Fusarium</i> species that were recovered from symptomatic greenhouse-grown cannabis plants in British Columbia: <i>F. graminearum</i>, <i>F. sporotrichioides</i>, <i>F. culmorum, F. proliferatum</i>, and <i>F. oxysporum</i>. Comparative genomic analysis revealed that the isolates from cannabis displayed a high percentage genome alignment to currently recognized pathogenic <i>Fusarium</i> species infecting other crops. This may suggest that horizontal transmission of the pathogens has occurred between these crops, potentially through air, soil, or seed-borne inoculum. In addition, analysis of secondary metabolites and toxin production in the <i>Fusarium</i> species affecting cannabis indicated they have the potential to produce several mycotoxins, including trichothecenes, fumonisin, zearalenone, beauvericin and culmorin. Further epidemiological and <i>in planta</i> studies are needed to establish the extent to which horizontal spread of <i>Fusarium</i> species from horticultural and field crops to cannabis plants is occurring and the impact this can have on post-harvest quality and mycotoxin production. Studies on genetic changes that may be occurring in the <i>Fusarium</i> species as they adapt to cannabis as a host would provide evolutionary insights into the pathogenicity of this complex, versatile and important group of plant pathogens.
DOI: 10.6084/m9.figshare.29768513
title: Surveys of nurseries, forests and waterways in Minnesota revealed the presence of 14 new records of <i>Phytophthora</i> species

description: Many <i>Phytophthora</i> species are plant pathogens with the capacity to inflict extensive damage and economic losses in nurseries, forest stands and other urban and natural landscapes. This survey aimed to study the <i>Phytophthora</i> species present in Minnesota, USA, and assess the potential damage these <i>Phytophthora</i> could cause to Minnesota’s urban and natural environments. From 2020 to 2023, soil, plant biomass and water were collected from managed and natural forests, nurseries and natural and manmade waterways from 15 counties in Minnesota. Forest sampling was done on stands of trees that had visible signs of stress with some canopy defoliation, canopy chlorosis or tree mortality. Soil and water samples were baited with rhododendron leaves or pears to isolate <i>Phytophthora</i>. Necrotic plant tissue from baits and symptomatic plant tissue collected in the field were cultured on PARPH, a selective medium for <i>Phytophthora</i>. Genetic sequencing was performed to ascertain the presence and specific identities of <i>Phytophthora</i> species. The survey identified 22 <i>Phytophthora</i> species across 15 counties in Minnesota. Of note, 14 species were identified that had not been previously recorded in Minnesota. Several of the species found may have the capability to cause serious damage to woody plants. Additional studies will determine their potential threat.
DOI: 10.6084/m9.figshare.29768513.v1
title: Surveys of nurseries, forests and waterways in Minnesota revealed the presence of 14 new records of <i>Phytophthora</i> species

description: Many <i>Phytophthora</i> species are plant pathogens with the capacity to inflict extensive damage and economic losses in nurseries, forest stands and other urban and natural landscapes. This survey aimed to study the <i>Phytophthora</i> species present in Minnesota, USA, and assess the potential damage these <i>Phytophthora</i> could cause to Minnesota’s urban and natural environments. From 2020 to 2023, soil, plant biomass and water were collected from managed and natural forests, nurseries and natural and manmade waterways from 15 counties in Minnesota. Forest sampling was done on stands of trees that had visible signs of stress with some canopy defoliation, canopy chlorosis or tree mortality. Soil and water samples were baited with rhododendron leaves or pears to isolate <i>Phytophthora</i>. Necrotic plant tissue from baits and symptomatic plant tissue collected in the field were cultured on PARPH, a selective medium for <i>Phytophthora</i>. Genetic sequencing was performed to ascertain the presence and specific identities of <i>Phytophthora</i> species. The survey identified 22 <i>Phytophthora</i> species across 15 counties in Minnesota. Of note, 14 species were identified that had not been previously recorded in Minnesota. Several of the species found may have the capability to cause serious damage to woody plants. Additional studies will determine their potential threat.
DOI: 10.6084/m9.figshare.29834766
title: Assessing the impact of climate changes on the distribution of two corn diseases: corn stunt and corn reddening

description: Corn stunt (CS) and corn reddening (CR) are considered the main phytosanitary problems of corn crops in the Neotropical region, caused by <i>Spiroplasma kunkelii</i> and <i>Candidatus</i> Phytoplasma ssp., respectively. Models that evaluate the potential geographic distribution of CS and CR are important to know which regions and areas are suitable for formulating appropriate policies and preventive measures. This study aimed to identify highly suitable areas and assess the impact of climate change on the distribution of CS and CR. To do this, we developed two spatial distribution models for CS and CR. We found 193 points of occurrence for CS and 158 points for CR. Considering its biology and ecology, we used R-based analysis version 4.4.0 ‘Puppy Cup’ to predict potential global distribution of CS and CR using bioclimatic variables. We found that the most critical abiotic variables driving the global distribution of CS were: mean diurnal range, maximum temperature of the warmest month, and temperature seasonality. For the global distribution of CR, the most important variables were: isothermality, mean diurnal range, precipitation of the warmest quarter, and precipitation of the driest quarter. With regard to the validation of the forecast (2041–2060), the SSP2–4.5 models showed greater adaptability in the world’s main corn-producing countries: the United States, China and Brazil. On the other hand, for SSP5–8.5, Maxent predicted that suitable CS and CR habitat will decrease by 2060 in the United States, China and Brazil. These countries showed a significant reduction in the occurrence of CS and CR. Our modelling results will provide helpful information to determine the spatial distribution of CS and CR and outline implications for monitoring through the risks of these diseases based on climatic conditions worldwide, especially in SSP2–4.5 senarios.
DOI: 10.6084/m9.figshare.29834766.v3
title: Assessing the impact of climate changes on the distribution of two corn diseases: corn stunt and corn reddening

description: Corn stunt (CS) and corn reddening (CR) are considered the main phytosanitary problems of corn crops in the Neotropical region, caused by <i>Spiroplasma kunkelii</i> and <i>Candidatus</i> Phytoplasma ssp., respectively. Models that evaluate the potential geographic distribution of CS and CR are important to know which regions and areas are suitable for formulating appropriate policies and preventive measures. This study aimed to identify highly suitable areas and assess the impact of climate change on the distribution of CS and CR. To do this, we developed two spatial distribution models for CS and CR. We found 193 points of occurrence for CS and 158 points for CR. Considering its biology and ecology, we used R-based analysis version 4.4.0 ‘Puppy Cup’ to predict potential global distribution of CS and CR using bioclimatic variables. We found that the most critical abiotic variables driving the global distribution of CS were: mean diurnal range, maximum temperature of the warmest month, and temperature seasonality. For the global distribution of CR, the most important variables were: isothermality, mean diurnal range, precipitation of the warmest quarter, and precipitation of the driest quarter. With regard to the validation of the forecast (2041–2060), the SSP2–4.5 models showed greater adaptability in the world’s main corn-producing countries: the United States, China and Brazil. On the other hand, for SSP5–8.5, Maxent predicted that suitable CS and CR habitat will decrease by 2060 in the United States, China and Brazil. These countries showed a significant reduction in the occurrence of CS and CR. Our modelling results will provide helpful information to determine the spatial distribution of CS and CR and outline implications for monitoring through the risks of these diseases based on climatic conditions worldwide, especially in SSP2–4.5 senarios.
DOI: 10.6084/m9.figshare.29834766.v2
title: Assessing the impact of climate changes on the distribution of two corn diseases: corn stunt and corn reddening

description: Corn stunt (CS) and corn reddening (CR) are considered the main phytosanitary problems of corn crops in the Neotropical region, caused by <i>Spiroplasma kunkelii</i> and <i>Candidatus</i> Phytoplasma ssp., respectively. Models that evaluate the potential geographic distribution of CS and CR are important to know which regions and areas are suitable for formulating appropriate policies and preventive measures. This study aimed to identify highly suitable areas and assess the impact of climate change on the distribution of CS and CR. To do this, we developed two spatial distribution models for CS and CR. We found 193 points of occurrence for CS and 158 points for CR. Considering its biology and ecology, we used R-based analysis version 4.4.0 ‘Puppy Cup’ to predict potential global distribution of CS and CR using bioclimatic variables. We found that the most critical abiotic variables driving the global distribution of CS were: mean diurnal range, maximum temperature of the warmest month, and temperature seasonality. For the global distribution of CR, the most important variables were: isothermality, mean diurnal range, precipitation of the warmest quarter, and precipitation of the driest quarter. With regard to the validation of the forecast (2041–2060), the SSP2–4.5 models showed greater adaptability in the world’s main corn-producing countries: the United States, China and Brazil. On the other hand, for SSP5–8.5, Maxent predicted that suitable CS and CR habitat will decrease by 2060 in the United States, China and Brazil. These countries showed a significant reduction in the occurrence of CS and CR. Our modelling results will provide helpful information to determine the spatial distribution of CS and CR and outline implications for monitoring through the risks of these diseases based on climatic conditions worldwide, especially in SSP2–4.5 senarios.
DOI: 10.5281/zenodo.17787765
title: DeepDOX1
DOI: 10.5281/zenodo.17787764
title: DeepDOX1
DOI: 10.15468/dl.keuk3f
title: Occurrence Download

description: A dataset containing 250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heteranthoecia guineensis",
 "Continent is Africa"
 ]
}

 The dataset includes 250 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040458-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/pmtcfu
title: PAN-00172960 - pinch lead

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00172960&lt;/p&gt;
description: Modified: 2025-11-05T14:27:38+01:00
DOI: 10.34740/kaggle/dsv/14073328
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.17866515
title: Dispersal evolution as a driver of island biodiversity - data and scripts
DOI: 10.5281/zenodo.17866514
title: Dispersal evolution as a driver of island biodiversity - data and scripts
DOI: 10.5281/zenodo.15854993
title: Reproducibility Package for "TAPAAL HyperLTL: A Tool for Checking Hyperproperties of Petri Net"

description: This is a reproducibility package for the paper "TAPAAL HyperLTL: A Tool for Checking Hyperproperties of Petri Net" accepted at ATVA 2025. The newest version of the package contains also an additional case study on laterncy in computer networks.
DOI: 10.5281/zenodo.17866488
title: Reproducibility Package for "TAPAAL HyperLTL: A Tool for Checking Hyperproperties of Petri Net"

description: This is a reproducibility package for the paper "TAPAAL HyperLTL: A Tool for Checking Hyperproperties of Petri Net" accepted at ATVA 2025. The newest version of the package contains also an additional case study on laterncy in computer networks.
DOI: 10.15468/dl.f6f6vz
title: Occurrence Download

description: A dataset containing 1884 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((4.80532 53.20611,4.73352 53.12202,4.66005 53.01767,4.72517 52.97245,4.82703 52.99255,4.91887 53.08392,4.95727 53.17309,4.80532 53.20611))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Limosa limosa",
 "Year 2018-2018"
 ]
}

 The dataset includes 1884 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040459-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xwjzhd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((111.212 0.922184, 111.141728 0.916616, 111.073187 0.900051, 111.008065 0.872895, 110.947966 0.8358179999999999, 110.894369 0.789734, 110.848595 0.735776, 110.811771 0.675274, 110.784802 0.609718, 110.768353 0.540722, 110.762827 0.469985, 110.768362 0.399249, 110.784819 0.330255, 110.811794 0.264703, 110.848623 0.204205, 110.894398 0.150252, 110.947993 0.104171, 111.008088 0.067098, 111.073204 0.039946, 111.141737 0.023382, 111.212 0.017815, 111.282263 0.023382, 111.350796 0.039946, 111.415912 0.067098, 111.476007 0.104171, 111.529602 0.150252, 111.575377 0.204205, 111.612206 0.264703, 111.639181 0.330255, 111.655638 0.399249, 111.661173 0.469985, 111.655647 0.540722, 111.639198 0.609718, 111.612229 0.675274, 111.575405 0.735776, 111.529631 0.789734, 111.476034 0.8358179999999999, 111.415935 0.872895, 111.350813 0.900051, 111.282272 0.916616, 111.212 0.922184))"},{"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/0040462-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.14764053
title: GREENTRAVEL Public Participation GIS survey on active mobility in Europe

description: This GIS dataset contains point data on pleasant and unpleasant places as well as greenery preferences along everyday active mobility routes that urban residents mapped in five European cities: Helsinki Metropolitan Area (=1114 respondents), Greater London (=1188), Greater Copenhagen (=1225), Munich (=855) and Las Palmas de Gran Canaria (=582). The data was collected through an online Public Participation GIS survey, titled “Greentravel: A survey on your everyday active travel environment”. It was distributed in December 2023 to January 2024 using a random sampling approach through a panel company in all cities, except in Greater Copenhagen, where respondents were sampled directly through the Danish Registry Data.

The survey was implemented by researchers at the Digital Geography Lab, University of Helsinki, in collaboration with researchers at the University of Copenhagen. The data is GDPR compliant.

The data is provided in shapefile format. It comprises separate shapefile in point format of (1) pleasant places, (2) unpleasant places and (3) where to add street greenery for each study city as follows:

Helsinki Metropolitan Area



Helsinki_Pleasant (1222 individual points)

Helsinki­_Unpleasant (753 individual points)

Helsinki_Street_Greenery (307 individual points)


Greater London 



London_Pleasant (1053 individual points)

London_Unpleasant (445 individual points)

London_Street_Greenery (201 individual points)


Greater Copenhagen 



Copenhagen_Pleasant (1545 individual points)

Copenhagen­_Unpleasant (1090 individual points)

Copenhagen_Street_Greenery (411 individual points)


Munich 



Munich_Pleasant (751 individual points)

Munich­_Unpleasant (376 individual points)

Munich_Street_Greenery (122 individual points)


Las Palmas de Gran Canaria



LasPalmas_Pleasant (552 individual points)

LasPalmas_Unpleasant (261 individual points)

LasPalmas_Street_Greenery (200 individual points)


Definitions

Active mobility was defined for respondents in the survey as “non-motorised forms of travel such as walking or cycling that you use on a regular daily basis to get to a destination (e.g. go to work, school, shop, but excluding trips for leisure)”. Pleasant and unpleasant categoriesas well as street greenery elements which survey respondents could identify are defined in the GREENTRAVEL_PPGIS_SurveyDescription.pdf document. 

The PPGIS survey through which this data was collected is part of the GREENTRAVEL project, funded by the European Union (Grant Number: 101044906). Views and opinions expressed are however those of the authors only and do not necessarily reflect those of the European Union or European Research Council. Neither the European Union nor European Research Council can be held responsible for them.
DOI: 10.5281/zenodo.17866393
title: GREENTRAVEL Public Participation GIS survey on active mobility in Europe

description: This GIS dataset contains point data on pleasant and unpleasant places as well as greenery preferences along everyday active mobility routes that urban residents mapped in five European cities: Helsinki Metropolitan Area (=1114 respondents), Greater London (=1188), Greater Copenhagen (=1225), Munich (=855) and Las Palmas de Gran Canaria (=582). The data was collected through an online Public Participation GIS survey, titled “Greentravel: A survey on your everyday active travel environment”. It was distributed in December 2023 to January 2024 using a random sampling approach through a panel company in all cities, except in Greater Copenhagen, where respondents were sampled directly through the Danish Registry Data.

The survey was implemented by researchers at the Digital Geography Lab, University of Helsinki, in collaboration with researchers at the University of Copenhagen. The data is GDPR compliant.

The data is provided in shapefile format. It comprises separate shapefile in point format of (1) pleasant places, (2) unpleasant places and (3) where to add street greenery for each study city as follows:

Helsinki Metropolitan Area



Helsinki_Pleasant (1222 individual points)

Helsinki­_Unpleasant (753 individual points)

Helsinki_Street_Greenery (307 individual points)


Greater London 



London_Pleasant (1053 individual points)

London_Unpleasant (445 individual points)

London_Street_Greenery (201 individual points)


Greater Copenhagen 



Copenhagen_Pleasant (1545 individual points)

Copenhagen­_Unpleasant (1090 individual points)

Copenhagen_Street_Greenery (411 individual points)


Munich 



Munich_Pleasant (751 individual points)

Munich­_Unpleasant (376 individual points)

Munich_Street_Greenery (122 individual points)


Las Palmas de Gran Canaria



LasPalmas_Pleasant (552 individual points)

LasPalmas_Unpleasant (261 individual points)

LasPalmas_Street_Greenery (200 individual points)


Definitions

Active mobility was defined for respondents in the survey as “non-motorised forms of travel such as walking or cycling that you use on a regular daily basis to get to a destination (e.g. go to work, school, shop, but excluding trips for leisure)”. Pleasant and unpleasant categoriesas well as street greenery elements which survey respondents could identify are defined in the GREENTRAVEL_PPGIS_SurveyDescription.pdf document. 

The PPGIS survey through which this data was collected is part of the GREENTRAVEL project, funded by the European Union (Grant Number: 101044906). Views and opinions expressed are however those of the authors only and do not necessarily reflect those of the European Union or European Research Council. Neither the European Union nor European Research Council can be held responsible for them.
DOI: 10.15468/dl.ruges9
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Marionina macgrathi",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040463-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.