cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22284814.v1
title: Supplementary Material for: Examining Cognitive Biases Uniquely Associated with Schizotypy

description: Introduction: Individuals with schizotypy experience a number of cognitive biases that may increase risk to develop schizophrenia-spectrum psychopathology. However, cognitive biases are also present in mood and anxiety disorders and it is currently unclear which biases are specific to schizotypy and which may be a result of comorbid depression or anxiety. Methods: 462 participants completed measures of depression, anxiety, cognitive biases, cognitive schemas, and schizotypy. Correlation analyses were conducted to examine the relationship between schizotypy, depression, anxiety, cognitive biases and schemas. Hierarchical regression analyses were conducted to examine the association between cognitive biases and schizotypy after controlling for depression and anxiety. Moderated regression analyses were also conducted to investigate the moderating role of biological sex and ethnicity in the association between cognitive biases and schizotypy. Results: Self-referential processing, belief inflexibility, and attention for threat were associated with schizotypy continuously. The belief inflexibility bias and social cognition problems were specifically associated with schizotypy after controlling for depression and anxiety and were not directly associated with either depression or anxiety. These associations were not moderated by biological sex or ethnicity. Discussion/Conclusion: The belief inflexibility bias may be an important cognitive bias underlying schizotypal personality and further research will be important to determine whether this bias is also associated with an increased likelihood of transitioning to psychosis.
DOI: 10.34740/kaggle/ds/3147798
title: Damped Harmonic Oscillator Dataset
DOI: 10.5281/zenodo.7858932
title: Crime Reduction by the NBS during the UrbanGreenUP project in Valladolid city

description: This indicator is included in the list of indicators <em>Challenge 8. Social Justice and Social Cohesion</em>. According to Oxford dictionary, crime is an action or omission which constitutes an offence and is punishable by law. The installation of urban furniture as a measure of protection against crime, vandalism and terrorist acts has been developing successfully since the 70s and it is called “Crime Prevention Through Environmental Design (CPTE)”. The main technique is to reduce crime opportunities through modification and manipulation of the built environment that make it more difficult (Massoomeh et al, 2016). Green Infrastructures can help to reduce the causes and opportunities crime and vandalism because the structures that look well cared for discourage crime and increase social justice and cohesion. It is a measure that through well planning, designing and managing of the built environment (Massoomeh et al, 2016).
DOI: 10.5281/zenodo.7858931
title: Crime Reduction by the NBS during the UrbanGreenUP project in Valladolid city

description: This indicator is included in the list of indicators <em>Challenge 8. Social Justice and Social Cohesion</em>. According to Oxford dictionary, crime is an action or omission which constitutes an offence and is punishable by law. The installation of urban furniture as a measure of protection against crime, vandalism and terrorist acts has been developing successfully since the 70s and it is called “Crime Prevention Through Environmental Design (CPTE)”. The main technique is to reduce crime opportunities through modification and manipulation of the built environment that make it more difficult (Massoomeh et al, 2016). Green Infrastructures can help to reduce the causes and opportunities crime and vandalism because the structures that look well cared for discourage crime and increase social justice and cohesion. It is a measure that through well planning, designing and managing of the built environment (Massoomeh et al, 2016).
DOI: 10.18112/openneuro.ds004504.v1.0.3
title: A dataset of 88 EEG recordings from: Alzheimer's disease, Frontotemporal dementia and Healthy subjects
DOI: 10.6084/m9.figshare.19782871
title: Inbound Arrivals: Using weather surveillance radar to quantify the diurnal timing of spring trans-Gulf bird migration - Data Set

description: Hundreds of millions of migratory songbirds cross the Gulf of Mexico each spring en route to breeding grounds in North America, making the northern Gulf coast a critical region for these migrants as it provides the first possible stopover location after a long, nonstop trans-Gulf crossing. However, this region has high levels of anthropogenic activity, making migrants vulnerable to a multitude of potentially lethal obstacles. Understanding the timing of mass migratory arrivals along the coast is imperative for advancing conservation of this critical region through the identification of key times in which to direct conservation actions (e.g., temporary halting of wind turbines, reduction of light pollution). To this end, we assessed 10 years of weather surveillance radar data from 5 sites along the northern Gulf of Mexico coast to quantify the daily timing and intensity of trans-Gulf migrant arrival. On a daily scale, we found that migrant intensity peaked an average of 9 hours after local sunrise, occurring earliest at furthest eastern regions of the Gulf. On a seasonal level, the greatest number of arrivals occurred between late April and early May, with peak intensity occurring latest at furthest west sites. Overall intensity of migration across all ten years of data was greatest at the most western sites and decreased the further east a site was located. These findings emphasize the use of the Gulf of Mexico region by migratory birds, providing information that can both advance our understanding of trans-Gulf migration and support conservation of migratory birds in this critical region. <strong>Data Set Key </strong> <strong>site</strong>: NEXRAD radar station ID <strong>deviance_explained</strong>: r2 value, the amount of variation explained by a generalized additive model with a response of migration intensity and a predictor of hour after sunrise. <strong>arrival_time:</strong> The time (hours after sunrise) in which migratory intensity was at its peak. <strong>peak_intensity</strong>: the peak of migration intensity measured on a given day as a value of eta - a measurement of radar reflectivity (i.e., the density of birds in the airspace). <strong>min_possible</strong> and <strong>max_possible</strong>: Range of data for a given day, the earliest and latest possible arrival time in hours after sunrise.
DOI: 10.6084/m9.figshare.19782871.v3
title: Inbound Arrivals: Using weather surveillance radar to quantify the diurnal timing of spring trans-Gulf bird migration - Data Set

description: Hundreds of millions of migratory songbirds cross the Gulf of Mexico each spring en route to breeding grounds in North America, making the northern Gulf coast a critical region for these migrants as it provides the first possible stopover location after a long, nonstop trans-Gulf crossing. However, this region has high levels of anthropogenic activity, making migrants vulnerable to a multitude of potentially lethal obstacles. Understanding the timing of mass migratory arrivals along the coast is imperative for advancing conservation of this critical region through the identification of key times in which to direct conservation actions (e.g., temporary halting of wind turbines, reduction of light pollution). To this end, we assessed 10 years of weather surveillance radar data from 5 sites along the northern Gulf of Mexico coast to quantify the daily timing and intensity of trans-Gulf migrant arrival. On a daily scale, we found that migrant intensity peaked an average of 9 hours after local sunrise, occurring earliest at furthest eastern regions of the Gulf. On a seasonal level, the greatest number of arrivals occurred between late April and early May, with peak intensity occurring latest at furthest west sites. Overall intensity of migration across all ten years of data was greatest at the most western sites and decreased the further east a site was located. These findings emphasize the use of the Gulf of Mexico region by migratory birds, providing information that can both advance our understanding of trans-Gulf migration and support conservation of migratory birds in this critical region. <strong>Data Set Key </strong> <strong>site</strong>: NEXRAD radar station ID <strong>deviance_explained</strong>: r2 value, the amount of variation explained by a generalized additive model with a response of migration intensity and a predictor of hour after sunrise. <strong>arrival_time:</strong> The time (hours after sunrise) in which migratory intensity was at its peak. <strong>peak_intensity</strong>: the peak of migration intensity measured on a given day as a value of eta - a measurement of radar reflectivity (i.e., the density of birds in the airspace). <strong>min_possible</strong> and <strong>max_possible</strong>: Range of data for a given day, the earliest and latest possible arrival time in hours after sunrise.
DOI: 10.6084/m9.figshare.19782871.v2
title: Inbound Arrivals: Using weather surveillance radar to quantify the timing of spring trans-Gulf bird migration - Data Set

description: Hundreds of millions of migratory songbirds cross the Gulf of Mexico each spring en route to breeding grounds in North America, making the northern Gulf coast a critical region for these migrants as it provides the first possible stopover location after a long, nonstop trans-Gulf crossing. However, this region has high levels of anthropogenic activity, making migrants vulnerable to a multitude of potentially lethal obstacles. Understanding the timing of mass migratory arrivals along the coast is imperative for advancing conservation of this critical region through the identification of key times in which to direct conservation actions (e.g., temporary halting of wind turbines, reduction of light pollution). To this end, we assessed 10 years of weather surveillance radar data from 5 sites along the northern Gulf of Mexico coast to quantify the daily timing and intensity of trans-Gulf migrant arrival. On a daily scale, we found that migrant intensity peaked an average of 9 hours after local sunrise, occurring earliest at furthest eastern regions of the Gulf. On a seasonal level, the greatest number of arrivals occurred between late April and early May, with peak intensity occurring latest at furthest west sites. Overall intensity of migration across all ten years of data was greatest at the most western sites and decreased the further east a site was located. These findings emphasize the use of the Gulf of Mexico region by migratory birds, providing information that can both advance our understanding of trans-Gulf migration and support conservation of migratory birds in this critical region. <strong>Data Set Key </strong> <strong>site</strong>: NEXRAD radar station ID <strong>deviance_explained</strong>: r2 value, the amount of variation explained by a generalized additive model with a response of migration intensity and a predictor of hour after sunrise. <strong>arrival_time:</strong> The time (hours after sunrise) in which migratory intensity was at its peak. <strong>peak_intensity</strong>: the peak of migration intensity measured on a given day as a value of eta - a measurement of radar reflectivity (i.e., the density of birds in the airspace). <strong>min_possible</strong> and <strong>max_possible</strong>: Range of data for a given day, the earliest and latest possible arrival time in hours after sunrise.
DOI: 10.57782/fjhzgv/oljhd0
title: parameters.py

description: :unav
DOI: 10.57782/fjhzgv/ml2bb4
title: SWinter.csv

description: :unav
DOI: 10.57782/fjhzgv/wkrl5v
title: S8.csv

description: :unav
DOI: 10.57782/fjhzgv/3vzyxe
title: S6.csv

description: :unav
DOI: 10.57782/fjhzgv/frroap
title: S5.csv

description: :unav
DOI: 10.57782/fjhzgv/dvdhsb
title: main.py

description: :unav
DOI: 10.57782/fjhzgv/awoijz
title: visualisation.py

description: :unav
DOI: 10.57782/fjhzgv/ks3ae6
title: S7.csv

description: :unav
DOI: 10.15468/dl.s5mwsw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bifora testiculata",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014729-250827131500795/datasets/export for details.
DOI: 10.15156/bio/sh408075.07fu
title: SH408075.07FU

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/sh1774460.08fu
title: SH1774460.08FU

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/sh1774461.08fu
title: SH1774461.08FU

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/sh408076.07fu
title: SH408076.07FU

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/sh408077.07fu
title: SH408077.07FU

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/sh1774462.08fu
title: SH1774462.08FU

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/sh1774463.08fu
title: SH1774463.08FU

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/sh1774464.08fu
title: SH1774464.08FU

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/sh408078.07fu
title: SH408078.07FU

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/sh408079.07fu
title: SH408079.07FU

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.