cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.bw83au
title: Occurrence Download

description: A dataset containing 4680 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mohonk Preserve Forest Health Monitoring Data"
 ]
}

 The dataset includes 4680 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006206-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k4dxvw
title: Occurrence Download

description: A dataset containing 1261 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dytiscus latissimus Linnaeus, 1758",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1261 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006208-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.faycve
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aphodius bischoffi Všetečka, 1939",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006210-241126133413365/datasets/export for details.
DOI: 10.15468/dl.9dvsb3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aphodius numidicus Mulsant, 1851",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006212-241126133413365/datasets/export for details.
DOI: 10.15468/dl.2rxk5m
title: Occurrence Download

description: A dataset containing 3757 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Macaca mulatta (Zimmermann, 1780)",
 "Year 2000-2024"
 ]
}

 The dataset includes 3757 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006213-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.md6arp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Enoplium doderoi Luigioni, 1926",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006215-241126133413365/datasets/export for details.
DOI: 10.6084/m9.figshare.27929674
title: On shrinkage covariance estimators: how inefficient is 1/N strategy of covariance estimation for portfolio selection in foreign exchange market?

description: We investigate portfolio selection performance as in Markowitz by evaluating variance matrix estimation criteria in the currency market. This study challenges theoretically rigorous shrinkage covariance estimators using multiple evaluation metrics: systematic loss function, risk profile of minimum variance portfolios, Herfindahl index, financial efficiency, and concentration level. We assess out-of-sample performance across conventional models, factor models, linear shrinkage estimators, and equally weighted portfolios by applying mean-variance criteria and minimum variance framework to the 10 most traded currencies. Our findings reveal that mean-variance optimal portfolios are concentrated, counterintuitive, and highly sensitive to optimizer input choices in currency markets. We discovered that shrinkage estimators do not provide additional benefits to investors and fund managers regarding systematic loss function and minimum variance portfolio risk profiles. The research highlights critical limitations in traditional portfolio construction approaches, demonstrating that portfolios built using mean-variance criteria are prone to significant input data sensitivity and tend to create overly concentrated investments. Consequently, the study suggests that investors and fund managers should exercise caution when selecting covariance estimators and consider exploring more diversified strategies to optimize portfolio performance in foreign exchange markets. This study critically evaluates the efficacy of covariance estimators in optimizing portfolios within the foreign exchange market, highlighting limitations of traditional and sophisticated shrinkage methods. Through comprehensive analysis, it demonstrates that mean-variance optimal portfolios are prone to input sensitivity and concentration, offering little advantage to fund managers over simpler 1/N diversification strategies. With a comprehensive dataset spanning decades, the research provides actionable insights into minimizing estimation errors and improving portfolio stability. The findings challenge prevailing methodologies, emphasizing simplicity and diversification to enhance decision-making for investors, fund managers, and policymakers navigating the complexities of currency markets.
DOI: 10.6084/m9.figshare.27929674.v1
title: On shrinkage covariance estimators: how inefficient is 1/N strategy of covariance estimation for portfolio selection in foreign exchange market?

description: We investigate portfolio selection performance as in Markowitz by evaluating variance matrix estimation criteria in the currency market. This study challenges theoretically rigorous shrinkage covariance estimators using multiple evaluation metrics: systematic loss function, risk profile of minimum variance portfolios, Herfindahl index, financial efficiency, and concentration level. We assess out-of-sample performance across conventional models, factor models, linear shrinkage estimators, and equally weighted portfolios by applying mean-variance criteria and minimum variance framework to the 10 most traded currencies. Our findings reveal that mean-variance optimal portfolios are concentrated, counterintuitive, and highly sensitive to optimizer input choices in currency markets. We discovered that shrinkage estimators do not provide additional benefits to investors and fund managers regarding systematic loss function and minimum variance portfolio risk profiles. The research highlights critical limitations in traditional portfolio construction approaches, demonstrating that portfolios built using mean-variance criteria are prone to significant input data sensitivity and tend to create overly concentrated investments. Consequently, the study suggests that investors and fund managers should exercise caution when selecting covariance estimators and consider exploring more diversified strategies to optimize portfolio performance in foreign exchange markets. This study critically evaluates the efficacy of covariance estimators in optimizing portfolios within the foreign exchange market, highlighting limitations of traditional and sophisticated shrinkage methods. Through comprehensive analysis, it demonstrates that mean-variance optimal portfolios are prone to input sensitivity and concentration, offering little advantage to fund managers over simpler 1/N diversification strategies. With a comprehensive dataset spanning decades, the research provides actionable insights into minimizing estimation errors and improving portfolio stability. The findings challenge prevailing methodologies, emphasizing simplicity and diversification to enhance decision-making for investors, fund managers, and policymakers navigating the complexities of currency markets.
DOI: 10.15468/dl.gah8k3
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "GadmGid is RUS.30_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Grus grus (Linnaeus, 1758)",
 "Year 2013-2024"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006216-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q7suf7
title: Occurrence Download

description: A dataset containing 12963 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Silene laciniata Cav."
 ]
}

 The dataset includes 12963 records from 173 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006214-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b2zswg
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aphodius rugifrons Horn, 1871",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006217-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eqr5hw
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "GadmGid is RUS.30_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Grus grus (Linnaeus, 1758)",
 "Year 2013-2024"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006219-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.77pj7w
title: Occurrence Download

description: A dataset containing 1515 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Graphoderus bilineatus (De Geer, 1774)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1515 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006218-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ahc728
title: Occurrence Download

description: A dataset containing 953 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Triplostegia glandulifera Wall. ex DC.)"
 ]
}

 The dataset includes 953 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006220-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8p4gy3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Elater canaliculatus Reitter, 1918",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006222-241126133413365/datasets/export for details.
DOI: 10.5281/zenodo.13938045
title: Determination of the Chloride Ion Deposition by the Bresle Method

description:  In corrosion science, accurate determination of chloride ion deposition rates is critical to mitigating the environmental impact on structures. Traditional methods, such as the wet candle and dry plate methods (ISO 9225), are often inaccurate in capturing localized conditions and are also time consuming and costly. The Bresle method, which measures soluble salts directly on metal surfaces, offers a more targeted approach. This article examines the Bresle method as an alternative for determining average monthly chloride ion deposition rates, including a regression analysis comparing the Bresle method with the wet candle method, and examines the long-term salinity of exposed surfaces in comparison with the additive approach to surface salinity. The paper hypothesizes that the Bresle method can be used as an alternative to the wet candle method. Linear regression analysis shows a strong correlation in chloride ion deposition rates compared to those measured by the wet candle method. However, cumulative measurements using long-term exposed coupons are unreliable due to inconsistent trends.
DOI: 10.5281/zenodo.13938046
title: Determination of the Chloride Ion Deposition by the Bresle Method

description:  In corrosion science, accurate determination of chloride ion deposition rates is critical to mitigating the environmental impact on structures. Traditional methods, such as the wet candle and dry plate methods (ISO 9225), are often inaccurate in capturing localized conditions and are also time consuming and costly. The Bresle method, which measures soluble salts directly on metal surfaces, offers a more targeted approach. This article examines the Bresle method as an alternative for determining average monthly chloride ion deposition rates, including a regression analysis comparing the Bresle method with the wet candle method, and examines the long-term salinity of exposed surfaces in comparison with the additive approach to surface salinity. The paper hypothesizes that the Bresle method can be used as an alternative to the wet candle method. Linear regression analysis shows a strong correlation in chloride ion deposition rates compared to those measured by the wet candle method. However, cumulative measurements using long-term exposed coupons are unreliable due to inconsistent trends.
DOI: 10.15468/dl.b96ccw
title: Occurrence Download

description: A dataset containing 1083 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Morimus funereus Mulsant, 1862",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1083 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006223-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z9d258
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dendrocalamus minor (McClure) L.C.Chia & H.L.Fung",
 "Year 1000-1928"
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006224-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8qwpx6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aphodius brancoi Baraud, 1981",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006226-241126133413365/datasets/export for details.
DOI: 10.15468/dl.86zqtj
title: Occurrence Download

description: A dataset containing 1269 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pedostrangalia revestita (Linnaeus, 1767)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1269 records from 145 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006225-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27928977
title: Gene expression profiles in specific skeletal muscles and meat quality characteristics of sheep and goats

description: Amino acids, fatty acids and flavor compounds from 7 skeletal muscles of sheep and goats.And quality control information for 120 transcriptome data stored in the NCBI database.
DOI: 10.15468/dl.2hm7f5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rosalia alpina Aurivillius, 1912",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006227-241126133413365/datasets/export for details.
DOI: 10.15468/dl.78ra7a
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hypophloeus krueperi Obenberger, 1922",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006228-241126133413365/datasets/export for details.
DOI: 10.5281/zenodo.14223053
title: Splicing Detection and Localization for Speech Deepfakes using Audio Novelty

description: With the rapid progress of artificial intelligence over the last few years, the possibility of generating highly realistic multimedia content is within everyone's reach. This has paved the way for the creation of deepfakes, synthetic data produced using deep learning techniques that realistically represent people in behaviors not belonging to them. In the audio case, speech deepfakes can be used alone or combined with splicing techniques.This consists of replacing portions of authentic speech with synthetic elements, thereby altering the conveyed message and leading to significant threats.In this work, we address the problem of splicing detection and localization in speech deepfakes.We consider spliced audio tracks created by substituting parts of a pristine speech with synthetically generated segments. We design a system able to detect whether a manipulation takes place and localize it in time.The proposed method, trained exclusively on splicing-free audio tracks, extracts embeddings from the input signal through a sliding window. Then, it employs audio novelty to measure the similarity among consecutive signal sections and uses it to detect and localize splicing points.We evaluate our method on a state-of-the-art dataset as well as a novel, bias-free corpus specifically developed and released in this paper. The proposed approach is benchmarked against multiple baselines for both splicing detection and localization tasks.
DOI: 10.5281/zenodo.14223054
title: Splicing Detection and Localization for Speech Deepfakes using Audio Novelty

description: With the rapid progress of artificial intelligence over the last few years, the possibility of generating highly realistic multimedia content is within everyone's reach. This has paved the way for the creation of deepfakes, synthetic data produced using deep learning techniques that realistically represent people in behaviors not belonging to them. In the audio case, speech deepfakes can be used alone or combined with splicing techniques.This consists of replacing portions of authentic speech with synthetic elements, thereby altering the conveyed message and leading to significant threats.In this work, we address the problem of splicing detection and localization in speech deepfakes.We consider spliced audio tracks created by substituting parts of a pristine speech with synthetically generated segments. We design a system able to detect whether a manipulation takes place and localize it in time.The proposed method, trained exclusively on splicing-free audio tracks, extracts embeddings from the input signal through a sliding window. Then, it employs audio novelty to measure the similarity among consecutive signal sections and uses it to detect and localize splicing points.We evaluate our method on a state-of-the-art dataset as well as a novel, bias-free corpus specifically developed and released in this paper. The proposed approach is benchmarked against multiple baselines for both splicing detection and localization tasks.
DOI: 10.15468/dl.gs4juh
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ahermodontus bischoffi (Všetečka, 1939)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006229-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7750497
title: Distribution of functionally distinct native and non-indigenous species within marine urban habitats

description: This data file (.xls) is composed of 5 sheets:



	
The “Taxon labels”: Taxon code, full name, authority and status/type (Abiotic, Unassigned, Native, Cryptogenic, Non-Indigenous Species)
	
The “Trait labels”: Trait modality and labels and correspondences.
	
The “Taxon-by-Trait matrix”: Fuzzy coded scores for each trait modality and taxon
	
The “Taxon-by-sample matrix”: Abundance data of retained taxa in samples
	
The “Sample labels and description”: Site and experimental factors (Habitat, Age, Experimental Unit, Replicate, nested within site) corresponding to each sample.



Sheets 4 and 5 are extracted from a published dataset, which cannot be shared at this stage of revision without revealing the name of several of the manuscript authors. This is done in respect with the journal guidelines about data storage.
DOI: 10.5281/zenodo.7750498
title: Distribution of functionally distinct native and non-indigenous species within marine urban habitats

description: This data file (.xls) is composed of 5 sheets: The “Taxon labels”: Taxon code, full name, authority and status/type (Abiotic, Unassigned, Native, Cryptogenic, Non-Indigenous Species) The “Trait labels”: Trait modality and labels and correspondences. The “Taxon-by-Trait matrix”: Fuzzy coded scores for each trait modality and taxon The “Taxon-by-sample matrix: as of doi:10.5061/dryad.8gtht76jg The “Sample labels and description”: Site and experimental factors (Habitat, Age, Experimental Unit, Replicate, nested within site) corresponding to each sample.
DOI: 10.5281/zenodo.7750501
title: Distribution of functionally distinct native and non-indigenous species within marine urban habitats

description: This data file (.xls) is composed of 5 sheets:



	
The “Taxon labels”: Taxon code, full name, authority and status/type (Abiotic, Unassigned, Native, Cryptogenic, Non-Indigenous Species)
	
The “Trait labels”: Trait modality and labels and correspondences.
	
The “Taxon-by-Trait matrix”: Fuzzy coded scores for each trait modality and taxon
	
The “Taxon-by-sample matrix”: Abundance data of retained taxa in samples
	
The “Sample labels and description”: Site and experimental factors (Habitat, Age, Experimental Unit, Replicate, nested within site) corresponding to each sample.



Sheets 4 and 5 are extracted from a published dataset, which cannot be shared at this stage of revision without revealing the name of several of the manuscript authors. This is done in respect with the journal guidelines about data storage.