cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.71796/wits-figshare.31363009.v1
title: Data from: A quantitative method for inferring locomotory shifts in amniotes during ontogeny, its application to dinosaurs, and its bearing on the evolution of posture

description: Evolutionary transitions between quadrupedal and bipedal postures are pivotal to the diversification of amniotes on land, including in our own lineage (Hominini). Heterochrony is suggested as a macroevolutionary mechanism for postural transitions, but understanding postural evolution in deep time is hindered by a lack of methods for inferring posture in extinct species. Dinosaurs are an excellent natural laboratory for understanding postural transitions, because their lineage contains at least four instances of quadrupedality evolving from bipedality, and because heterochronic processes have been put forward as an explanatory model for these transitions. We extend a quantitative method for reliably inferring posture in tetrapods to the study of ontogenetic postural transitions, using measurements of proportional limb robusticity. We apply this method to ontogenetic series of living and extinct amniotes, with a focus on dinosaurs. Our method correctly predicts the general pattern of ontogenetic conservation of quadrupedal and bipedal postures in many living amniote species and infers the same pattern in some dinosaurs. Furthermore, it correctly predicts the ontogenetic postural shift from quadrupedal crawling to bipedal walking in humans. We also infer a transition from early ontogenetic quadrupedality to late-ontogenetic bipedality in the transitional sauropodomorph dinosaur <i>Mussaurus patagonicus</i> and possibly in the early branching ceratopsian <i>Psittacosaurus lujiatunensis</i>. The phylogenetic positions of these ontogenetic shifts suggest that heterochrony may indeed play a role in the macroevolution of posture, at least in dinosaurs. Our method has substantial potential for testing evolutionary transitions between locomotor modes, especially in elucidating the role of evolutionary mechanisms such as heterochrony.
DOI: 10.15468/dl.e6qg3k
title: Occurrence Download

description: A dataset containing 5250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON(((-52.84028 -23.8589,-52.84024 -23.86215,-52.83766 -23.86668,-52.8351 -23.86782,-52.83466 -23.86975,-52.83401 -23.86983,-52.83348 -23.87257,-52.83352 -23.8753,-52.8337 -23.87678,-52.83261 -23.87923,-52.83263 -23.88071,-52.8317 -23.88256,-52.75978 -23.90843,-52.72713 -23.88834,-52.72166 -23.89158,-52.71363 -23.88856,-52.72267 -23.88251,-52.71727 -23.87482,-52.71593 -23.87369,-52.71421 -23.87134,-52.712 -23.86812,-52.70921 -23.86416,-52.70492 -23.8614,-52.70087 -23.85915,-52.70163 -23.85523,-52.70125 -23.85139,-52.70056 -23.84771,-52.70226 -23.84266,-52.70326 -23.83918,-52.70647 -23.83841,-52.70819 -23.83529,-52.7121 -23.83354,-52.71399 -23.83064,-52.71583 -23.82973,-52.71797 -23.82794,-52.71989 -23.8271,-52.72124 -23.82576,-52.72356 -23.82521,-52.7247 -23.8201,-52.72642 -23.81713,-52.72767 -23.81446,-52.7187 -23.81311,-52.72111 -23.80417,-52.72658 -23.80435,-52.73106 -23.80348,-52.73248 -23.80118,-52.73203 -23.79771,-52.73384 -23.7954,-52.73637 -23.79848,-52.74019 -23.80198,-52.74462 -23.80252,-52.75002 -23.80445,-52.75471 -23.80676,-52.75857 -23.80724,-52.76246 -23.81,-52.76791 -23.81526,-52.7726 -23.81734,-52.77746 -23.82061,-52.78004 -23.82387,-52.7828 -23.82664,-52.78525 -23.83348,-52.7756 -23.8343,-52.77624 -23.85002,-52.78416 -23.86206,-52.79024 -23.85912,-52.79153 -23.86241,-52.79457 -23.86438,-52.81232 -23.85644,-52.81762 -23.86658,-52.83847 -23.85748,-52.84028 -23.8589)))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5250 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027690-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bx5t32
title: Occurrence Download

description: A dataset containing 43 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)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Sporobolus rigens"
 ]
}

 The dataset includes 43 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027693-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.evpasx
title: Occurrence Download

description: A dataset containing 27442 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sphyrna mokarran"
 ]
}

 The dataset includes 27442 records from 153 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027692-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18684133
title: Caryophyllales Juss. ex Bercht. & J.Presl. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.2.

description: Citable snapshot. Includes PDF and CSV of collections. Date: February 18th, 2026 at 13:58
DOI: 10.5281/zenodo.18251879
title: Caryophyllales Juss. ex Bercht. & J.Presl. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.2.

description: Citable snapshot. Includes PDF and CSV of collections. Date: February 18th, 2026 at 13:58
DOI: 10.5281/zenodo.18684139
title: Automated AML Systems, False Positives, and the Risk of Institutional Disproportion: A Structural Assessment for the U.S. Financial System

description: This independent analytical report examines structural risks arising from the increasing reliance on automated anti-money laundering (AML) systems within the United States financial sector, with particular focus on false positive signals and their institutional consequences.

As financial institutions deploy advanced algorithmic tools for transaction monitoring, customer screening, and risk scoring, the scale and complexity of automated decision-making continue to grow. While these systems enhance detection capabilities, they also generate high volumes of false positives that may produce disproportionate compliance responses, operational inefficiencies, and secondary systemic effects.

The report analyzes how automated AML screening interacts with defensive compliance practices, reputational risk management, and regulatory reporting obligations, including the impact of increased Suspicious Activity Report (SAR) volumes and information overload within supervisory frameworks. It further explores risks of institutional imbalance, declining proportionality, and long-term implications for trust in the financial system.

A comparative overview of European Union and United Kingdom approaches to algorithmic supervision and proportionality is provided, alongside policy-oriented recommendations addressing explainable AI, recalibration of risk models, and enhanced dialogue between regulators and financial institutions.

Prepared by ARGA Observatory, this report is intended for regulators, financial institutions, compliance professionals, policymakers, and academic researchers engaged in AML governance, financial regulation, and algorithmic risk management.
DOI: 10.5281/zenodo.18684138
title: Automated AML Systems, False Positives, and the Risk of Institutional Disproportion: A Structural Assessment for the U.S. Financial System

description: This independent analytical report examines structural risks arising from the increasing reliance on automated anti-money laundering (AML) systems within the United States financial sector, with particular focus on false positive signals and their institutional consequences.

As financial institutions deploy advanced algorithmic tools for transaction monitoring, customer screening, and risk scoring, the scale and complexity of automated decision-making continue to grow. While these systems enhance detection capabilities, they also generate high volumes of false positives that may produce disproportionate compliance responses, operational inefficiencies, and secondary systemic effects.

The report analyzes how automated AML screening interacts with defensive compliance practices, reputational risk management, and regulatory reporting obligations, including the impact of increased Suspicious Activity Report (SAR) volumes and information overload within supervisory frameworks. It further explores risks of institutional imbalance, declining proportionality, and long-term implications for trust in the financial system.

A comparative overview of European Union and United Kingdom approaches to algorithmic supervision and proportionality is provided, alongside policy-oriented recommendations addressing explainable AI, recalibration of risk models, and enhanced dialogue between regulators and financial institutions.

Prepared by ARGA Observatory, this report is intended for regulators, financial institutions, compliance professionals, policymakers, and academic researchers engaged in AML governance, financial regulation, and algorithmic risk management.
DOI: 10.15468/dl.c4jaqa
title: Occurrence Download

description: A dataset containing 90012 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ameerega silverstonei, Anaxyrus exsul, Bufo japonicus, Bufotes viridis, Chioglossa lusitanica, Eleutherodactylus campi, Hyloxalus littoralis, Leptobrachium pullum, Limnonectes ingeri, Microhyla kuramotoi, Microhyla okinavensis, Oophaga granulifera, Polypedates braueri, Rana japonica, Scarthyla vigilans, Smilisca baudinii, Strauchbufo raddei, Tachiramantis lassoalcalai, Telmatobius macrostomus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 90012 records from 417 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027665-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uyy7ju
title: Occurrence Download

description: A dataset containing 21 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)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Sporobolus salsus"
 ]
}

 The dataset includes 21 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027694-260208012135463/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.30521552
title: NMR dataset for "Carbene-Catalyzed Double Esterification Enables Enantioselective Conformational Self-Locking of Pillar[5]arenes"

description: FAIR data, raw FID files
DOI: 10.6084/m9.figshare.30521552.v1
title: NMR dataset for "Carbene-Catalyzed Double Esterification Enables Enantioselective Conformational Self-Locking of Pillar[5]arenes"

description: FAIR data, raw FID files
DOI: 10.25345/c5z31p275
title: MassIVE MSV000100881 - Integrated Multi-Omics Enabled by Sequential Extraction for Comprehensive Molecular Profiling of Small Extracellular Vesicles
title: Small extracellular vesicles (sEVs) are membrane-bound particles whose cargo, including proteins, lipids, and metabolites, reflects the molecular state of their cells of origin. Consequently, sEVs are promising targets for biomarker discovery and therapeutic development. However, comprehensive characterization of sEVs remains challenging due to the extremely limited material available. Here, we present an integrated mass spectrometry-based multi-omics platform that enables simultaneous characterization of lipids, metabolites, and proteins from a single sEV sample through sequential extraction, maximizing sample utilization. To enhance molecular coverage and analytical depth, the platform combines iterative tandem mass spectrometry for improved small-molecule fragmentation and nano-flow proteomics with data-independent acquisition, enabling deep and reproducible multi-omic profiling. We achieved sensitive and reproducible multi-omic characterization of proteins, lipids, and metabolites using 10 million sEVs, corresponding to a biological volume comparable to only a few cells. We further demonstrated the compatibility of our multi-omics platform with sEVs isolated from plasma by ultracentrifugation, size-exclusion chromatography with ultrafiltration, and polymer precipitation, revealing purification-dependent differences in molecular profiles associated with tradeoffs in yield and purity of sEVs. By enabling integrated multi-omics from the same sample, this strategy addresses a key challenge in low-input sEV analysis and establishes a robust analytical foundation for synergistic biomarker discovery and liquid biopsy applications.
DOI: 10.15468/dl.cba873
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aichryson pachycaulon immaculatum"
 ]
}

 The dataset includes 33 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027696-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q5b7x5
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is DFO Maritimes Region Cetacean Sightings",
 "Geometry POLYGON((-53.32222 47.41534,-52.72922 47.41534,-52.72922 48.21264,-53.32222 48.21264,-53.32222 47.41534))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 57 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027695-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18683866
title: DATA-SPECIFIC INFORMATION & FILES FOR: Heritage Granada Dataset

description: Here you can download the following files:



20190901_HeritageGranada_Readme_v01.txt (Documentation, Methodological description, Data dictionary and Metadata guide for the dataset 20190901_HeritageGranada_Dataset_v01.csv)




20190901_HeritageGranada_Dataset_v01.csv (Dataset resulting from a questionnaire conducted on a sample of tourists during their visit to the city of Granada). The document is provided in Comma-Separated Values (.csv) format using UTF-8 encoding to preserve multilingual characters.




20190901_HeritageGranada_questionnaire_EN_v01.pdf (Structured questionnaire in English administered on print paper to a representative sample of tourists visiting the city of Granada. The document is provided in PDF/A format to ensure long-term digital preservation and compliance with FAIR standards) 




20190901_HeritageGranada_questionnaire_ES_v01.pdf (Structured questionnaire in Spanish administered on print paper to a representative sample of tourists visiting the city of Granada. The document is provided in PDF/A format to ensure long-term digital preservation and compliance with FAIR standards)


 

These files are related to the dataset deposited at the following link: https://doi.org/10.5281/zenodo.18480430

If you are interested in downloading the files from this dataset, please request access via the following email address: jvalverde@ual.es
DOI: 10.5281/zenodo.18683865
title: DATA-SPECIFIC INFORMATION & FILES FOR: Heritage Granada Dataset

description: Here you can download the following files:



20190901_HeritageGranada_Readme_v01.txt (Documentation, Methodological description, Data dictionary and Metadata guide for the dataset 20190901_HeritageGranada_Dataset_v01.csv)




20190901_HeritageGranada_Dataset_v01.csv (Dataset resulting from a questionnaire conducted on a sample of tourists during their visit to the city of Granada). The document is provided in Comma-Separated Values (.csv) format using UTF-8 encoding to preserve multilingual characters.




20190901_HeritageGranada_questionnaire_EN_v01.pdf (Structured questionnaire in English administered on print paper to a representative sample of tourists visiting the city of Granada. The document is provided in PDF/A format to ensure long-term digital preservation and compliance with FAIR standards) 




20190901_HeritageGranada_questionnaire_ES_v01.pdf (Structured questionnaire in Spanish administered on print paper to a representative sample of tourists visiting the city of Granada. The document is provided in PDF/A format to ensure long-term digital preservation and compliance with FAIR standards)


 

These files are related to the dataset deposited at the following link: https://doi.org/10.5281/zenodo.18480430

If you are interested in downloading the files from this dataset, please request access via the following email address: jvalverde@ual.es
DOI: 10.15468/dl.xc3bdn
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aichryson pachycaulon pachycaulon"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027697-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a9c9an
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aichryson tortuosum tortuosum"
 ]
}

 The dataset includes 42 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027698-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p3gm72
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caesalpinia spinosa",
 "Geometry POLYGON ((-78.71229 -6.986759, -77.1323 -6.986759, -77.1323 -2.986125, -78.71229 -2.986125, -78.71229 -6.986759))"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027699-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ravt7b
title: Occurrence Download

description: A dataset containing 52311 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Occurrence evidence)",
 "GadmGid is FRA.11.8_1",
 "Geometry POLYGON((3.26411 43.26637,3.44398 43.26637,3.44398 43.40004,3.26411 43.40004,3.26411 43.26637))",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Plantae, Chordata, Arthropoda)",
 "Year 2020-2026"
 ]
}

 The dataset includes 52311 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027680-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hjyhqx
title: Occurrence Download

description: A dataset containing 221 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)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Sporobolus scabridus"
 ]
}

 The dataset includes 221 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027700-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8rvczh
title: Occurrence Download

description: A dataset containing 351171 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aichryson dumosum, Allium platakisii, Andryala crithmifolia, Armeria berlengensis, Atlantica calathoides, Belgrandiella austriana, Bencomia brachystachya, Bencomia sphaerocarpa, Berberis maderensis, Beta patula, Bupleurum dianthifolium, Callina bulverii, Calotriton arnoldi, Canariella jandiaensis, Caseolus subcalliferus, Cecilioides eulima, Centaurea hymettia, Cheirolophus crassifolius, Cheirolophus metlesicsii, Cheirolophus santos-abreui, Crambe tamadabensis, Crambe wildpretii, Desmana moschata, Dianella thiesseana, Discula lyelliana, Discula tabellata, Discula tetrica, Echium handiense, Echium portosanctense, Erica maderensis, Fissidens azoricus, Frullania sergiae, Fulica cristata, Gallotia stehlini, Genista bocchierii, Geomitra grabhami, Geranium maderense, Goodyera macrophylla, Grammitis azorica, Helichrysum melitense, Helosciadium bermejoi, Hemicycla efferata, Hemicycla modesta, Hemicycla paeteliana, Hymenophyllum maderense, Idiomela subplicata, Jasminum azoricum, Limonium albomarginatum, Limonium sventenii, Lotus eremiticus, Lotus maculatus, Lotus pyranthus, Melanopsis penchinati, Micromeria acropolitana, Micromeria glomerata, Monilearia granostriata, Mustela lutreola, Naufraga balearica, Olisthopus inclavatus, Orthodontium gracile, Parabythinella malaprespensis, Pericallis malvifolia, Plagiochila papillifolia, Pleiomeris canariensis, Polystichum drepanum, Prespiana lacustris, Prespolitorea malaprespensis, Prespolitorea valvataeformis, Prionotropis rhodanica, Psylliodes luridipennis, Puffinus mauretanicus, Renea bourguignatiana, Salamandra lanzai, Salvia herbanica, Salvia veneris, Serratorotula acarinata, Sideritis cystosiphon, Silene nocteolens, Sinapidendron angustifolium, Sinapidendron rupestre, Speleomantes ambrosii, Speleomantes sarrabusensis, Spermophilus pygmaeus, Sphagnum nitidulum, Tacheocampylaea romagnolii, Testudodiscula testudinalis, Tetralophozia filiformis, Teucrium abutiloides, Theodoxus baeticus, Theodoxus valentinus, Thesium psilotocladum, Thesium subsucculentum, Trematodon perssoniorum, Zonites invitus, Zonites nautarum, Acis nicaeensis, Acrobolbus azoricus, Acrobolbus madeirensis, Aeonium gomerense, Algyroides marchi)",
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Specimen, Unknown evidence, Machine Observation, Occurrence evidence)",
 "Year is greater than or equal to 1971",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 351171 records from 438 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027621-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.