cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ugn4gp
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acipenser transmontanus",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038117-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16935165
title: Causal Inference in Nanosecond Finance: Detecting Spurious Correlations in AI High-Frequency Trading Strategies

description: Causal Inference in Nanosecond Finance: Detecting Spurious Correlations in AI High-Frequency Trading Strategies

 

This paper explores how artificial intelligence (AI) models used in high-frequency trading (HFT) often exploit spurious correlations—patterns that appear predictive but lack causal grounding—leading to unstable strategies, alpha decay, and systemic risk. At nanosecond scales, these risks are magnified by speed, opacity, and feedback loops.

 

We propose the integration of causal inference frameworks—including structural causal models (SCMs), do-calculus, invariant causal prediction (ICP), and causal representation learning—into HFT research and practice. Using a combination of historical market data, feature engineering, and agent-based simulations, we compare traditional machine learning approaches with causal inference–enhanced models.

 

The results show that while correlational AI achieves slightly higher short-term accuracy, causal models deliver significantly greater robustness across regimes, resistance to alpha decay, and systemic stability. We introduce the Causal Stability Index (CSI), Interventional Fragility Score (IFS), and propose a new SCAB-CIP (Causal Integrity Protocol) to integrate causal validation into the SCAB framework for AI oversight, ensuring trading agents act on causally robust signals.

 

Contributions of the paper include:

 



A theoretical framework distinguishing spurious vs causal signals in nanosecond markets.

A methodology for embedding causal reasoning into AI-driven HFT strategies.

Simulated case studies demonstrating causal filtering in action.

Ethical and regulatory recommendations, including the SCAB-CIP protocol for causal auditing.


 

 

This work represents one of the first systematic attempts to apply causal inference to nanosecond finance, offering both academic novelty and practical policy relevance. It argues that the next frontier of HFT innovation is not faster correlations, but causally robust AI systems that align profitability with systemic safety.
DOI: 10.5281/zenodo.16935166
title: Causal Inference in Nanosecond Finance: Detecting Spurious Correlations in AI High-Frequency Trading Strategies

description: Causal Inference in Nanosecond Finance: Detecting Spurious Correlations in AI High-Frequency Trading Strategies

 

This paper explores how artificial intelligence (AI) models used in high-frequency trading (HFT) often exploit spurious correlations—patterns that appear predictive but lack causal grounding—leading to unstable strategies, alpha decay, and systemic risk. At nanosecond scales, these risks are magnified by speed, opacity, and feedback loops.

 

We propose the integration of causal inference frameworks—including structural causal models (SCMs), do-calculus, invariant causal prediction (ICP), and causal representation learning—into HFT research and practice. Using a combination of historical market data, feature engineering, and agent-based simulations, we compare traditional machine learning approaches with causal inference–enhanced models.

 

The results show that while correlational AI achieves slightly higher short-term accuracy, causal models deliver significantly greater robustness across regimes, resistance to alpha decay, and systemic stability. We introduce the Causal Stability Index (CSI), Interventional Fragility Score (IFS), and propose a new SCAB-CIP (Causal Integrity Protocol) to integrate causal validation into the SCAB framework for AI oversight, ensuring trading agents act on causally robust signals.

 

Contributions of the paper include:

 



A theoretical framework distinguishing spurious vs causal signals in nanosecond markets.

A methodology for embedding causal reasoning into AI-driven HFT strategies.

Simulated case studies demonstrating causal filtering in action.

Ethical and regulatory recommendations, including the SCAB-CIP protocol for causal auditing.


 

 

This work represents one of the first systematic attempts to apply causal inference to nanosecond finance, offering both academic novelty and practical policy relevance. It argues that the next frontier of HFT innovation is not faster correlations, but causally robust AI systems that align profitability with systemic safety.
DOI: 10.15468/dl.3sj5xg
title: Occurrence Download

description: A dataset containing 144 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carduus acanthoides",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 144 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038121-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16935175
title: COVID-19-Hospitalisierungen in Deutschland

description: Im Datensatz 'COVID-19-Hospitalisierungen' werden die aktuellen Zahlen der nach den Vorgaben des Infektionsschutzgesetzes - IfSG - erfassten hospitalisierten COVID-19-Fälle bereitgestellt.
Um den Trend der Anzahl von Hospitalisierungen und der 7-Tage-Hospitalisierungsinzidenz besser bewerten zu können, wird die berichtete Hospitalisierungsinzidenz um eine Schätzung der zu erwartenden Anzahl an verzögert berichteten Hospitalisierungen ergänzt. Neben den Daten der gemeldeten COVID-19-Hospitalisierungen auf Bundes- und Länderebene wird daher ein Nowcasting der Anzahl hospitalisierter Fälle und der 7-Tage-Hospitalisierungsinzidenz auf Bundesebene durchgeführt. Ziel ist die Schätzung der Anzahl von hospitalisierten COVID-19-Fällen mit Meldedatum innerhalb der sieben vorhergehenden Tage - inklusive der noch nicht an das RKI berichteten Hospitalisierungen. Aufbauend auf dem Nowcasting wird eine Schätzung der adjustierten 7-Tage-Hospitalisierungsinzidenz durchgeführt.
DOI: 10.15468/dl.rja7fz
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carduus acanthoides",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 38 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038119-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3sh5zx
title: Occurrence Download

description: A dataset containing 1229 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bulbine frutescens"
 ]
}

 The dataset includes 1229 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038120-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xqy7qn
title: Occurrence Download

description: A dataset containing 2365 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carduus acanthoides",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2365 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038122-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nbpef2
title: Occurrence Download

description: A dataset containing 198 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acipenser transmontanus",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 198 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038124-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ekmmqg
title: Occurrence Download

description: A dataset containing 8550 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Geometry POLYGON((70 -10,145 -10,145 45,70 45,70 -10))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Houttuynia cordata"
 ]
}

 The dataset includes 8550 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038125-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pzzn9g
title: Occurrence Download

description: A dataset containing 99229 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bromus tectorum"
 ]
}

 The dataset includes 99229 records from 1296 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037984-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17610827
title: First Record and Infestation Pattern of Haemaphysalis muhsamae on Wild Mammals Dataset, Ghana

description: Data confirming the presence, distribution, host associations, and infestation patterns of H. muhsamae across ecological zones and seasons in Ghana.
DOI: 10.5281/zenodo.17610828
title: First Record and Infestation Pattern of Haemaphysalis muhsamae on Wild Mammals Dataset, Ghana

description: Data confirming the presence, distribution, host associations, and infestation patterns of H. muhsamae across ecological zones and seasons in Ghana.
DOI: 10.5281/zenodo.17627119
title: Single-cell profiling reveals shared fibrotic and divergent immune programs in keloid dermis across pigmentation types
DOI: 10.5281/zenodo.17627118
title: Single-cell profiling reveals shared fibrotic and divergent immune programs in keloid dermis across pigmentation types
DOI: 10.15468/7kpnjx
title: Données de l'association Nature 18 - Données faune Nature 18 - 2017

description: Données de faune produites par l'association Nature 18 en 2017
DOI: 10.34740/kaggle/dsv/13767609
title: Student Performance Dataset
DOI: 10.15468/dl.gdsu68
title: Occurrence Download

description: A dataset containing 3717 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anemone cylindrica",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3717 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039330-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25493/s5ac-hgg
title: High-resolution post-mortem anatomical ultra-high field MRI of the macaque brain (v1)

description: A female macaque (Macaca fascicularis) brain specimen was scanned ex vivo using a preclinical ultra-high field (UHF) magnetic resonance imaging (MRI) system at 11.7T to obtain a mesoscopic anatomical MRI dataset. 100 µm and 180 µm isotropic resolution images were acquired using T2-weighted sequences. 
A dedicated preprocessing pipeline was developed to perform various file conversions (Bruker native format, DICOM format, NIfTI format), to correct images from signal bias using an N4BiasFieldCorrection algorithm and to compute diffeomorphic transformations from the native space to the MEBRAINS template space. The same diffeomorphic transformation was used to resample both 180 µm and 100 µm datasets in the MEBRAINS template using the MEBRAINS T2 contrast, with an additional linear transformation applied between the 100 µm and the 180 µm datasets, to produce two datasets including :
– a high resolution 100 µm anatomical UHF MRI dataset,
– a high resolution 180 µm anatomical UHF MRI dataset.
These two datasets will enable the further processing of a 3D map of segmented cortical and deep gray structures at the mesoscopic scale.
DOI: 10.15468/dl.hh3jqu
title: Occurrence Download

description: A dataset containing 2459 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-78.3075 39.70515,-80.24371 37.38349,-82.95439 36.42877,-82.24445 35.72458,-80.41254 36.14108,-76.6199 36.11512,-76.07351 36.73579,-76.97346 38.31608,-78.3075 39.70515))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Sylvilagus floridanus"
 ]
}

 The dataset includes 2459 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039331-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25493/axrx-z2r
title: Distribution of parvalbumin-positive interneurons in the normal adult mouse brain (v2)

description: High-resolution bright-field microscopy images of horizontal brain sections showing parvalbumin-positive neurons across the normal adult mouse brain. The dataset consists of image series covering the entire brain from four PVCre x Rosa26eYFP and five C57BL6 mice. For each brain, every fourth section was processed by diaminobenzidine (DAB) immunohistochemistry using a monoclonal parvalbumin (RRID:AB_2631173) antibody. The data can be used to investigate the distribution of parvalbumin-positive neurons in the mouse brain, and may be compared to our published data from the rat brain [(Laja et al., 2025)](https://doi.org/10.25493/MB6S-K0S), acquired using the same techniques.
DOI: 10.25493/mb6s-k0s
title: Distribution of parvalbumin-positive interneurons in the normal adult rat brain (v2)

description: High-resolution bright-field microscopy images of horizontal brain sections showing parvalbumin-positive neurons across the normal adult rat brain. The dataset consists of image series covering the entire brain from four Sprague Dawley female rats. For each brain, every fourth section was processed by diaminobenzidine (DAB) immunohistochemistry using a monoclonal parvalbumin (RRID:AB_477329) antibody. The data can be used to investigate the distribution of parvalbumin-positive neurons in the rat brain, and may be compared to our published data from the mouse brain [(Laja et al., 2025)](https://doi.org/10.25493/AXRX-Z2R), acquired using the same techniques.
DOI: 10.15468/dl.cepqrh
title: Occurrence Download

description: A dataset containing 3064587 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is one of (Indonesia, Papua New Guinea, Malaysia, Philippines, Timor-Leste, Solomon Islands)",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 3064587 records from 457 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039310-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.334ntw
title: Occurrence Download

description: A dataset containing 285 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Bat occurrences from Bulgaria",
 "TaxonKey is Myotis bechsteinii"
 ]
}

 The dataset includes 285 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039332-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g8sdqq
title: Occurrence Download

description: A dataset containing 104364 species occurrences available in GBIF matching the query:
{
 "and" : [
 "License is one of (CC-BY 4.0, CC0 1.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Ursidae"
 ]
}

 The dataset includes 104364 records from 485 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039294-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/tc1qgw
title: SILENE-FAUNE-PACA - DREAL_PACA_-_N2000_-_Parc_National_du_Mercantour_2017_12_18

description: DREAL PACA - N2000 - Parc National du Mercantour
DOI: 10.15468/dl.yga2ta
title: Occurrence Download

description: A dataset containing 25578 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alcedo atthis",
 "Country is Germany",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2023-2024"
 ]
}

 The dataset includes 25578 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039333-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hn969y
title: Occurrence Download

description: A dataset containing 181 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((6.08554 52.0351,6.11802 52.0351,6.11802 52.05812,6.08554 52.05812,6.08554 52.0351))",
 "HasGeospatialIssue is false",
 "TaxonKey is Apidae",
 "Year 2024-2025"
 ]
}

 The dataset includes 181 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039334-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7d6t5e
title: Occurrence Download

description: A dataset containing 8610 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anemone multifida",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8610 records from 153 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039335-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57715/unr/npbpk0/xaepgt
title: Primer_Molar_Inferior.pdf

description: Planilla con registros cronológicos de longitudes de trabajo tomadas en los conductos mesiovestibular, mesiolingual y distal de las piezas 3.6 y 4.6.
DOI: 10.57715/unr/npbpk0/ndtm6s
title: Segundo_Molar_Inferior.pdf

description: Planilla con registros de longitudes de trabajo para los conductos mesiovestibular, mesiolingual, distal y distolingual de las piezas 3.7 y 4.7.
DOI: 10.57715/unr/npbpk0/3bb0aa
title: Informe_datos_10.57715.UNR.NPBPK0.txt

description: Este archivo README de documentación proporciona una visión general del dataset relevante para entender y utilizar el dataset de manera efectiva.
DOI: 10.57715/unr/npbpk0
title: Longitud de trabajo en endodoncia: datos retrospectivos en primeros y segundos molares inferiores de la Cátedra de Endodoncia, Universidad Nacional de Rosario (2011–2014)

description: Resumen Este dataset reúne registros clínicos de longitud de trabajo en conductos radiculares de primeros (pieza 3.6 y 4.6) y segundos molares inferiores (pieza 3.7 y 4.7), obtenidos por alumnos de grado en la Cátedra de Endodoncia de la Facultad de Odontología de la Universidad Nacional de Rosario (UNR). Contexto y objetivo Los datos fueron recolectados en el marco del estudio “Estudio retrospectivo transversal de la longitud de trabajo en la Cátedra de Endodoncia de la UNR” (2023–2025), con el fin de: Recuperar las longitudes de trabajo de pacientes atendidos por alumnos de grado en la cátedra de Endodoncia de la Universidad Nacional de Rosario. Obtener promedios de la longitud registrada para cada conducto radicular. Contribuir a la enseñanza, estandarización y evaluación de técnicas endodónticas. Contenido del dataset Archivos: Primer Molar Inferior: datos de piezas 3.6 y 4.6. Segundo Molar Inferior: datos de piezas 3.7 y 4.7. Variables: marca temporal de carga, fecha de registro, número de pieza dentaria, valores de longitud de trabajo por conducto y promedios. Formato: planillas digitales en PDF. Metodología Tipo de estudio: retrospectivo, transversal. Población: pacientes atendidos por alumnos de grado en la clínica de endodoncia. Organización: registros cronológicos, sin correcciones posteriores. Valor y usos Apoyo a la docencia en odontología y estandarización de protocolos clínicos. Referencia para investigación en morfología y técnicas de instrumentación endodóntica. Base para análisis estadísticos y comparación entre las longitudes obtenidas y las que aparecen en la literatura.
DOI: 10.17909/98sx-0r80
title: GALEX NUV image of NGC4141
DOI: 10.5281/zenodo.17608648
title: Data from: Lessons learned from applying eDNA surveying to diadromous fish detection across the north-east Atlantic region

description: This project contains the supplementary data corresponding to the publication entitled "Lessons learned from applying eDNA surveying to diadromous fish detection across the north-east Atlantic region" by Mukesh Bhendarkar, Cristina Claver, Iñaki Mendibil, Natalia Fraija-Fernández, David J. Nachón, Phil I. Davison, Tea Bašić, Ciara O'Leary, William K Roche, Iker Azpiroz, Marie-Laure Acolas, Aitor Lekuona, José Ardaiz, Estibaliz Diaz, Patrick Lambert, Geraldine Lassalle, Naiara Rodriguez-Ezpeleta. 



Suplementary material.docx -> Main file containing information about all supplemetary information. 

Figure S1.fasta -> Alignment file containing the primers and probe designed to amplify shads, the retrieved shad sequences and reference sequences of other species also inhabiting the rivers where European shads occur in Spain, France, UK and Ireland.

Table S1.docx -> Summary table of the samples analyzed in this study.

Table S2.xlsx -> Evidence-based reference database. 

Table S3.xlsx -> Metadata and qPCR/dPCR analysis results of samples. 

Table S4_A.txt -> Further information about in silico amplification by shad-specific forward primer (BLAST)

Tabla S4_B.txt -> Further information about in silico amplification by shad-specific probe (BLAST)

Tabla S4_C.txt -> Further information about in silico amplification by shad-specific reverse primer (BLAST)
DOI: 10.5281/zenodo.17608649
title: Data from: Lessons learned from applying eDNA surveying to diadromous fish detection across the north-east Atlantic region

description: This project contains the supplementary data corresponding to the publication entitled "Lessons learned from applying eDNA surveying to diadromous fish detection across the north-east Atlantic region" by Mukesh Bhendarkar, Cristina Claver, Iñaki Mendibil, Natalia Fraija-Fernández, David J. Nachón, Phil I. Davison, Tea Bašić, Ciara O'Leary, William K Roche, Iker Azpiroz, Marie-Laure Acolas, Aitor Lekuona, José Ardaiz, Estibaliz Diaz, Patrick Lambert, Geraldine Lassalle, Naiara Rodriguez-Ezpeleta. 



Suplementary material.docx -> Main file containing information about all supplemetary information. 

Figure S1.fasta -> Alignment file containing the primers and probe designed to amplify shads, the retrieved shad sequences and reference sequences of other species also inhabiting the rivers where European shads occur in Spain, France, UK and Ireland.

Table S1.docx -> Summary table of the samples analyzed in this study.

Table S2.xlsx -> Evidence-based reference database. 

Table S3.xlsx -> Metadata and qPCR/dPCR analysis results of samples. 

Table S4_A.txt -> Further information about in silico amplification by shad-specific forward primer (BLAST)

Tabla S4_B.txt -> Further information about in silico amplification by shad-specific probe (BLAST)

Tabla S4_C.txt -> Further information about in silico amplification by shad-specific reverse primer (BLAST)