cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10054162
title: Coordinates and checklists of alien species populations as obtained from the DASCO workflow and the SInAS data set

description: This data set contains coordinate records of alien (i.e., non-native) species populations worldwide and aggregated checklists of alien species for individual regions. The regions consists of non-overlapping polygons representing countries, sub-national or coastal marine ecoregions. 

The data set was produced by applying the DASCO workflow to the SInAS dataset (version 2.5; https://doi.org/10.5281/zenodo.18220953). The workflow imports checklists of alien species such as those stored in SInAS, and extracts coordinates for the alien regions (according to SInAS) from GBIF and OBIS. After cleaning and thinning the coordinates, the workflow exports a list of coordinates of alien populations for all species included in SInAS and with records on GBIF or OBIS.

The most recent version of the workflow can be found here: https://github.com/hseebens/DASCOworkflow

When using the workflow or the resulting datasets, please cite the following: 



Seebens H, Kaplan E (2022) DASCO: A workflow to downscale alien species checklists using occurrence records and to re-allocate species distributions across realms. NeoBiota 74: 75–91. https://doi.org/10.3897/neobiota.74.81082
DOI: 10.5281/zenodo.6457951
title: Coordinates and checklists of alien species populations as obtained from the DASCO workflow and the SInAS data set

description: This data set contains coordinate records of alien (i.e., non-native) species populations worldwide and aggregated checklists of alien species for individual regions. The regions consists of non-overlapping polygons representing countries, sub-national or coastal marine ecoregions. 

The data set was produced by applying the DASCO workflow to the SInAS dataset (version 3.1.1; https://doi.org/10.5281/zenodo.18220953). The workflow imports checklists of alien species such as those stored in SInAS, and extracts coordinates for the alien regions (according to SInAS) from GBIF and OBIS. After cleaning and thinning the coordinates, the workflow exports a list of coordinates of alien populations for all species included in SInAS and with records on GBIF or OBIS.

The most recent version of the workflow can be found here: https://github.com/hseebens/DASCOworkflow

When using the workflow or the resulting datasets, please cite the following: 



Seebens H, Kaplan E (2022) DASCO: A workflow to downscale alien species checklists using occurrence records and to re-allocate species distributions across realms. NeoBiota 74: 75–91. https://doi.org/10.3897/neobiota.74.81082
DOI: 10.5281/zenodo.18417675
title: GOLD-GWAS:Simulation_data
DOI: 10.5281/zenodo.18417676
title: GOLD-GWAS:Simulation_data
DOI: 10.15468/dl.pptxkp
title: Occurrence Download

description: A dataset containing 9695 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Acer saccharum"
 ]
 },
 "HasCoordinate is TRUE",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2024",
 "DecimalLatitude is greater than or equal to 40.65655309139544",
 "DecimalLatitude is less than or equal to 48.979554852528196",
 "DecimalLongitude is greater than or equal to -92.16664692579516",
 "DecimalLongitude is less than or equal to -74.24215087545171",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 9695 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000693-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18247188
title: SomaliPhishingDataset v1.0

description: SomaliPhishingDataset is a Somali-language cybersecurity dataset for binary classification of digital messages as phishing (1) or ham/benign (0). The public release contains 8,684 messages collected from Whatsapp, Telegram, SMS, and Facebook/Tiktok. It includes binary labels and a rule-based annotation scheme (Rule1–Rule5) capturing common phishing tactics. All public text is PII-masked using tokens such as [URL], [PHONE], [EMAIL], and [ID]. This dataset supports reproducible benchmarking and phishing detection research for a low-resource language setting.
DOI: 10.5281/zenodo.18247187
title: SomaliPhishingDataset v1.0

description: SomaliPhishingDataset is a Somali-language cybersecurity dataset for binary classification of digital messages as phishing (1) or ham/benign (0). The public release contains 8,684 messages collected from Whatsapp, Telegram, SMS, and Facebook/Tiktok. It includes binary labels and a rule-based annotation scheme (Rule1–Rule5) capturing common phishing tactics. All public text is PII-masked using tokens such as [URL], [PHONE], [EMAIL], and [ID]. This dataset supports reproducible benchmarking and phishing detection research for a low-resource language setting.
DOI: 10.15468/dl.vbb8cz
title: Occurrence Download

description: A dataset containing 895 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tretanorhinus"
 ]
}

 The dataset includes 895 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000694-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21223/p3/iwqd1q
title: Replication data for: Qualification of a Plant Disease Simulation Model; performance of the LATEBLIGHT Model for La Tola, Ecuador, 1996-1997

description: The concept of model qualification, i.e., discovering the domain over which a validated model may be properly used, was illustrated with LATEBLIGHT, a mathematical model that simulates the effect of weather, host growth and resistance, and fungicide use on asexual development and growth of Phytophthora infestans on potato foliage. Lateblight epidemics from Ecuador, Mexico, Israel, and the United States involving 13 potato cultivars (32 epidemics in total) were compared with model predictions using graphical and statistical tests. Fungicides were not applied in any of the epidemics. For the simulations, a host resistance level was assigned to each cultivar based on general categories reported by local investigators. For eight cultivars, the model predictions fit the observed data. For four cultivars, the model predictions overestimated disease, likely due to inaccurate estimates of host resistance. Model predictions were inconsistent for one cultivar and for one location. It was concluded that the domain of applicability of LATEBLIGHT can be extended from the range of conditions in Peru for which it has been previously validated to those observed in this study. A sensitivity analysis showed that, within the range of values observed empirically, LATEBLIGHT is more sensitive to changes in variables related to initial inoculum and to weather than to changes in variables relating to host resistance.
DOI: 10.21223/p3/yu81le
title: Replication data for: Qualification of a Plant Disease Simulation Model; performance of the LATEBLIGHT Model for IASA, Ecuador, 1997-1998

description: The concept of model qualification, i.e., discovering the domain over which a validated model may be properly used, was illustrated with LATEBLIGHT, a mathematical model that simulates the effect of weather, host growth and resistance, and fungicide use on asexual development and growth of Phytophthora infestans on potato foliage. Lateblight epidemics from Ecuador, Mexico, Israel, and the United States involving 13 potato cultivars (32 epidemics in total) were compared with model predictions using graphical and statistical tests. Fungicides were not applied in any of the epidemics. For the simulations, a host resistance level was assigned to each cultivar based on general categories reported by local investigators. For eight cultivars, the model predictions fit the observed data. For four cultivars, the model predictions overestimated disease, likely due to inaccurate estimates of host resistance. Model predictions were inconsistent for one cultivar and for one location. It was concluded that the domain of applicability of LATEBLIGHT can be extended from the range of conditions in Peru for which it has been previously validated to those observed in this study. A sensitivity analysis showed that, within the range of values observed empirically, LATEBLIGHT is more sensitive to changes in variables related to initial inoculum and to weather than to changes in variables relating to host resistance.
DOI: 10.21223/p3/guxjcb
title: Replication data for: Qualification of a Plant Disease Simulation Model; performance of the LATEBLIGHT Model for CIP, Ecuador, 1997-1998

description: The concept of model qualification, i.e., discovering the domain over which a validated model may be properly used, was illustrated with LATEBLIGHT, a mathematical model that simulates the effect of weather, host growth and resistance, and fungicide use on asexual development and growth of Phytophthora infestans on potato foliage. Lateblight epidemics from Ecuador, Mexico, Israel, and the United States involving 13 potato cultivars (32 epidemics in total) were compared with model predictions using graphical and statistical tests. Fungicides were not applied in any of the epidemics. For the simulations, a host resistance level was assigned to each cultivar based on general categories reported by local investigators. For eight cultivars, the model predictions fit the observed data. For four cultivars, the model predictions overestimated disease, likely due to inaccurate estimates of host resistance. Model predictions were inconsistent for one cultivar and for one location. It was concluded that the domain of applicability of LATEBLIGHT can be extended from the range of conditions in Peru for which it has been previously validated to those observed in this study. A sensitivity analysis showed that, within the range of values observed empirically, LATEBLIGHT is more sensitive to changes in variables related to initial inoculum and to weather than to changes in variables relating to host resistance.
DOI: 10.21223/p3/kftl9l
title: Replication data for: Qualification of a Plant Disease Simulation Model; performance of the LATEBLIGHT Model for CIP, Ecuador, 1996-1997

description: The concept of model qualification, i.e., discovering the domain over which a validated model may be properly used, was illustrated with LATEBLIGHT, a mathematical model that simulates the effect of weather, host growth and resistance, and fungicide use on asexual development and growth of Phytophthora infestans on potato foliage. Lateblight epidemics from Ecuador, Mexico, Israel, and the United States involving 13 potato cultivars (32 epidemics in total) were compared with model predictions using graphical and statistical tests. Fungicides were not applied in any of the epidemics. For the simulations, a host resistance level was assigned to each cultivar based on general categories reported by local investigators. For eight cultivars, the model predictions fit the observed data. For four cultivars, the model predictions overestimated disease, likely due to inaccurate estimates of host resistance. Model predictions were inconsistent for one cultivar and for one location. It was concluded that the domain of applicability of LATEBLIGHT can be extended from the range of conditions in Peru for which it has been previously validated to those observed in this study. A sensitivity analysis showed that, within the range of values observed empirically, LATEBLIGHT is more sensitive to changes in variables related to initial inoculum and to weather than to changes in variables relating to host resistance.
DOI: 10.21223/p3/quyfef
title: Replication data for: Qualification of a Plant Disease Simulation Model; performance of the LATEBLIGHT Model for IASA, Ecuador, 1996-1997

description: The concept of model qualification, i.e., discovering the domain over which a validated model may be properly used, was illustrated with LATEBLIGHT, a mathematical model that simulates the effect of weather, host growth and resistance, and fungicide use on asexual development and growth of Phytophthora infestans on potato foliage. Lateblight epidemics from Ecuador, Mexico, Israel, and the United States involving 13 potato cultivars (32 epidemics in total) were compared with model predictions using graphical and statistical tests. Fungicides were not applied in any of the epidemics. For the simulations, a host resistance level was assigned to each cultivar based on general categories reported by local investigators. For eight cultivars, the model predictions fit the observed data. For four cultivars, the model predictions overestimated disease, likely due to inaccurate estimates of host resistance. Model predictions were inconsistent for one cultivar and for one location. It was concluded that the domain of applicability of LATEBLIGHT can be extended from the range of conditions in Peru for which it has been previously validated to those observed in this study. A sensitivity analysis showed that, within the range of values observed empirically, LATEBLIGHT is more sensitive to changes in variables related to initial inoculum and to weather than to changes in variables relating to host resistance.
DOI: 10.21223/p3/1t7mci
title: Replication data for: Qualification of a Plant Disease Simulation Model; performance of the LATEBLIGHT Model for Pinantura, Ecuador, 1997-1998

description: The concept of model qualification, i.e., discovering the domain over which a validated model may be properly used, was illustrated with LATEBLIGHT, a mathematical model that simulates the effect of weather, host growth and resistance, and fungicide use on asexual development and growth of Phytophthora infestans on potato foliage. Lateblight epidemics from Ecuador, Mexico, Israel, and the United States involving 13 potato cultivars (32 epidemics in total) were compared with model predictions using graphical and statistical tests. Fungicides were not applied in any of the epidemics. For the simulations, a host resistance level was assigned to each cultivar based on general categories reported by local investigators. For eight cultivars, the model predictions fit the observed data. For four cultivars, the model predictions overestimated disease, likely due to inaccurate estimates of host resistance. Model predictions were inconsistent for one cultivar and for one location. It was concluded that the domain of applicability of LATEBLIGHT can be extended from the range of conditions in Peru for which it has been previously validated to those observed in this study. A sensitivity analysis showed that, within the range of values observed empirically, LATEBLIGHT is more sensitive to changes in variables related to initial inoculum and to weather than to changes in variables relating to host resistance.
DOI: 10.21223/p3/6jntvm
title: Replication data for: Qualification of a Plant Disease Simulation Model; performance of the LATEBLIGHT Model for La Tola, Ecuador, 1998-1999

description: The concept of model qualification, i.e., discovering the domain over which a validated model may be properly used, was illustrated with LATEBLIGHT, a mathematical model that simulates the effect of weather, host growth and resistance, and fungicide use on asexual development and growth of Phytophthora infestans on potato foliage. Lateblight epidemics from Ecuador, Mexico, Israel, and the United States involving 13 potato cultivars (32 epidemics in total) were compared with model predictions using graphical and statistical tests. Fungicides were not applied in any of the epidemics. For the simulations, a host resistance level was assigned to each cultivar based on general categories reported by local investigators. For eight cultivars, the model predictions fit the observed data. For four cultivars, the model predictions overestimated disease, likely due to inaccurate estimates of host resistance. Model predictions were inconsistent for one cultivar and for one location. It was concluded that the domain of applicability of LATEBLIGHT can be extended from the range of conditions in Peru for which it has been previously validated to those observed in this study. A sensitivity analysis showed that, within the range of values observed empirically, LATEBLIGHT is more sensitive to changes in variables related to initial inoculum and to weather than to changes in variables relating to host resistance.
DOI: 10.21223/p3/baobql
title: Replication data for: Qualification of a Plant Disease Simulation Model; performance of the LATEBLIGHT Model for Pinantura, Ecuador, 1998-1999

description: The concept of model qualification, i.e., discovering the domain over which a validated model may be properly used, was illustrated with LATEBLIGHT, a mathematical model that simulates the effect of weather, host growth and resistance, and fungicide use on asexual development and growth of Phytophthora infestans on potato foliage. Lateblight epidemics from Ecuador, Mexico, Israel, and the United States involving 13 potato cultivars (32 epidemics in total) were compared with model predictions using graphical and statistical tests. Fungicides were not applied in any of the epidemics. For the simulations, a host resistance level was assigned to each cultivar based on general categories reported by local investigators. For eight cultivars, the model predictions fit the observed data. For four cultivars, the model predictions overestimated disease, likely due to inaccurate estimates of host resistance. Model predictions were inconsistent for one cultivar and for one location. It was concluded that the domain of applicability of LATEBLIGHT can be extended from the range of conditions in Peru for which it has been previously validated to those observed in this study. A sensitivity analysis showed that, within the range of values observed empirically, LATEBLIGHT is more sensitive to changes in variables related to initial inoculum and to weather than to changes in variables relating to host resistance.
DOI: 10.21223/p3/d8zv2n
title: Replication data for: Qualification of a Plant Disease Simulation Model; performance of the LATEBLIGHT Model for La Tola, Ecuador 1997-1998

description: The concept of model qualification, i.e., discovering the domain over which a validated model may be properly used, was illustrated with LATEBLIGHT, a mathematical model that simulates the effect of weather, host growth and resistance, and fungicide use on asexual development and growth of Phytophthora infestans on potato foliage. Lateblight epidemics from Ecuador, Mexico, Israel, and the United States involving 13 potato cultivars (32 epidemics in total) were compared with model predictions using graphical and statistical tests. Fungicides were not applied in any of the epidemics. For the simulations, a host resistance level was assigned to each cultivar based on general categories reported by local investigators. For eight cultivars, the model predictions fit the observed data. For four cultivars, the model predictions overestimated disease, likely due to inaccurate estimates of host resistance. Model predictions were inconsistent for one cultivar and for one location. It was concluded that the domain of applicability of LATEBLIGHT can be extended from the range of conditions in Peru for which it has been previously validated to those observed in this study. A sensitivity analysis showed that, within the range of values observed empirically, LATEBLIGHT is more sensitive to changes in variables related to initial inoculum and to weather than to changes in variables relating to host resistance.
DOI: 10.21223/p3/w2jtgq
title: Replication data for: Qualification of a Plant Disease Simulation Model; performance of the LATEBLIGHT Model for CIP, Ecuador, 1998-1999

description: The concept of model qualification, i.e., discovering the domain over which a validated model may be properly used, was illustrated with LATEBLIGHT, a mathematical model that simulates the effect of weather, host growth and resistance, and fungicide use on asexual development and growth of Phytophthora infestans on potato foliage. Lateblight epidemics from Ecuador, Mexico, Israel, and the United States involving 13 potato cultivars (32 epidemics in total) were compared with model predictions using graphical and statistical tests. Fungicides were not applied in any of the epidemics. For the simulations, a host resistance level was assigned to each cultivar based on general categories reported by local investigators. For eight cultivars, the model predictions fit the observed data. For four cultivars, the model predictions overestimated disease, likely due to inaccurate estimates of host resistance. Model predictions were inconsistent for one cultivar and for one location. It was concluded that the domain of applicability of LATEBLIGHT can be extended from the range of conditions in Peru for which it has been previously validated to those observed in this study. A sensitivity analysis showed that, within the range of values observed empirically, LATEBLIGHT is more sensitive to changes in variables related to initial inoculum and to weather than to changes in variables relating to host resistance.
DOI: 10.6084/m9.figshare.28395155
title: <b>Biomarkers of glycolysis and tricarboxylic acid (TCA) cycle in youth with and without obesity</b>

description: Given the rising prevalence of childhood obesity, it is critical to understand the metabolic consequences of excess adiposity in youth. In particular, investigating alterations in glycolysis and the tricarboxylic acid (TCA) cycle in youth with obesity is essential for elucidating the underlying mechanisms contributing to metabolic dysregulation in this population.Forty-eight adolescents and young adults aged 15-24 years had plasma obtained after a 12-hour fasting to measure levels of glucose, insulin, and TCA cycle intermediates: pyruvate, lactate, fumarate, malate, α-ketoglutarate, cis/trans aconitate, and isocitrate. Additionally, participants underwent an assessment of liver proton-density fat fraction (PDFF) and a 3-hour oral glucose tolerance test (OGTT).Nineteen youth without obesity (BMI 21.5 ± 0.5 kg/m<sup>2</sup>) and twenty-nine youth with obesity (BMI 37.3 ± 1.7 kg/m<sup>2</sup>) were enrolled in the study. Youth with obesity showed higher plasma concentrations of lactate (P=0.015) and pyruvate (P=0.096) and lower plasma concentrations of fumarate (P=0.022), malate (P=0.009), cis/trans aconitate (P=0.03), and citrate/isocitrate (P=0.012). PDFF was directly correlated with lactate (r=0.46, P=0.027). Adipose tissue insulin resistance was not associated with biomarkers of glycolysis. The metabolomic analysis revealed distinct characteristics between adolescents with and without obesity, thus demonstrating lower rates of aerobic glucose utilization in youth with obesity, which may contribute to the development of insulin resistance, type 2 diabetes, and cardiovascular disease.