cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.36mduv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudobarbus tenuis (Barnard, 1938)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.7576 -24.3688,20.529 -24.0715,20.509 -24.0715,20.509 -28.5786,25.5395 -28.5786,25.5395 -24.0715,25.1306 -24.0715,24.9333 -24.4571,23.8962 -24.2467,22.8065 -24.295,22.3719 -24.7207,22.2323 -25.547,22.0387 -25.7188,21.7833 -25.7784,21.5388 -25.7113,21.3553 -25.5415,20.7576 -24.3688))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025591-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15610792
title: Resolving the Hubble Tension via Phi(t, r): A Functional Spacetime Resonance Approach

description: This work presents a functional approach to the long-standing Hubble tension by introducing a resonance-based spacetime formulation, phi(t, r). Without any parameter fitting, phi(t, r) overlays naturally with current Hubble constant measurements from Planck, DESI, and CCHP, suggesting a unifying underlying structure.

Additionally, phi(t, r) is simulated across cosmological scales (0.1–300 Mpc), showing distinct oscillatory behavior with a natural peak near 147 Mpc precisely matching the observed BAO scale. This alignment emerges as a direct outcome of the resonance structure and not from retrofitting observational data.

The presented figures support the hypothesis that φ(t, r) is not just a mathematical construct but a measurable imprint of real spacetime dynamics. This model may offer a physically grounded resolution to both the Hubble tension and the nature of BAO as an emergent resonance phenomenon.

Author:

Marcel Aichmayr (Independent Researcher, Austria)

 

Diese Arbeit präsentiert einen funktionalen Ansatz zur Erklärung der Hubble-Spannung durch die Einführung der raumzeitlichen Resonanzformel Phi(t, r). Ohne jegliches Parameter-Fitting überlagert sich phi(t, r) auf natürliche Weise mit den aktuellen H₀-Messungen aus Planck, DESI und CCHP  und deutet damit auf eine zugrunde liegende strukturgebende Einheit hin.

Darüber hinaus zeigt eine Simulation von phi(t, r) über kosmische Distanzen (0.1–300 Mpc) ein ausgeprägtes oszillierendes Verhalten mit einem klaren Resonanzmaximum bei ca. 147 Mpc, exakt dem beobachteten BAO-Peak. Diese Übereinstimmung ergibt sich nicht aus Anpassung, sondern aus der intrinsischen Struktur der Formel selbst.

Die präsentierten Diagramme stützen die Hypothese, dass phi(t, r) nicht nur eine theoretische Konstruktion, sondern ein real messbarer Ausdruck raumzeitlicher Dynamik ist. Das Modell bietet somit eine mögliche physikalisch fundierte Lösung sowohl für die Hubble-Spannung als auch für das Verständnis der Baryonischen Akustischen Oszillationen als Resonanzphänomen.

Autor:

Marcel Aichmayr (Unabhängiger Forscher, Österreich)
DOI: 10.5281/zenodo.15610793
title: Resolving the Hubble Tension via Phi(t, r): A Functional Spacetime Resonance Approach

description: This work presents a functional approach to the long-standing Hubble tension by introducing a resonance-based spacetime formulation, phi(t, r). Without any parameter fitting, phi(t, r) overlays naturally with current Hubble constant measurements from Planck, DESI, and CCHP, suggesting a unifying underlying structure.

Additionally, phi(t, r) is simulated across cosmological scales (0.1–300 Mpc), showing distinct oscillatory behavior with a natural peak near 147 Mpc precisely matching the observed BAO scale. This alignment emerges as a direct outcome of the resonance structure and not from retrofitting observational data.

The presented figures support the hypothesis that φ(t, r) is not just a mathematical construct but a measurable imprint of real spacetime dynamics. This model may offer a physically grounded resolution to both the Hubble tension and the nature of BAO as an emergent resonance phenomenon.

Author:

Marcel Aichmayr (Independent Researcher, Austria)

 

Diese Arbeit präsentiert einen funktionalen Ansatz zur Erklärung der Hubble-Spannung durch die Einführung der raumzeitlichen Resonanzformel Phi(t, r). Ohne jegliches Parameter-Fitting überlagert sich phi(t, r) auf natürliche Weise mit den aktuellen H₀-Messungen aus Planck, DESI und CCHP  und deutet damit auf eine zugrunde liegende strukturgebende Einheit hin.

Darüber hinaus zeigt eine Simulation von phi(t, r) über kosmische Distanzen (0.1–300 Mpc) ein ausgeprägtes oszillierendes Verhalten mit einem klaren Resonanzmaximum bei ca. 147 Mpc, exakt dem beobachteten BAO-Peak. Diese Übereinstimmung ergibt sich nicht aus Anpassung, sondern aus der intrinsischen Struktur der Formel selbst.

Die präsentierten Diagramme stützen die Hypothese, dass phi(t, r) nicht nur eine theoretische Konstruktion, sondern ein real messbarer Ausdruck raumzeitlicher Dynamik ist. Das Modell bietet somit eine mögliche physikalisch fundierte Lösung sowohl für die Hubble-Spannung als auch für das Verständnis der Baryonischen Akustischen Oszillationen als Resonanzphänomen.

Autor:

Marcel Aichmayr (Unabhängiger Forscher, Österreich)
DOI: 10.6084/m9.figshare.28726457
title: Simultaneous Inference for Generalized Linear Models with Unmeasured Confounders

description: Tens of thousands of simultaneous hypothesis tests are routinely performed in genomic studies to identify differentially expressed genes. However, due to unmeasured confounders, many standard statistical approaches may be substantially biased. This article investigates the large-scale hypothesis testing problem for multivariate generalized linear models in the presence of confounding effects. Under arbitrary confounding mechanisms, we propose a unified statistical estimation and inference framework that harnesses orthogonal structures and integrates linear projections into three key stages. It begins by disentangling marginal and uncorrelated confounding effects to recover the latent coefficients. Subsequently, latent factors and primary effects are jointly estimated through lasso-type optimization. Finally, we incorporate projected and weighted bias-correction steps for hypothesis testing. Theoretically, we establish the identification conditions of various effects and non-asymptotic error bounds. We show effective Type-I error control of asymptotic <i>z</i>-tests as sample and response sizes approach infinity. Numerical experiments demonstrate that the proposed method controls the false discovery rate by the Benjamini-Hochberg procedure and is more powerful than alternative methods. By comparing single-cell RNA-seq counts from two groups of samples, we demonstrate the suitability of adjusting confounding effects when significant covariates are absent from the model. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.28726457.v2
title: Simultaneous Inference for Generalized Linear Models with Unmeasured Confounders

description: Tens of thousands of simultaneous hypothesis tests are routinely performed in genomic studies to identify differentially expressed genes. However, due to unmeasured confounders, many standard statistical approaches may be substantially biased. This article investigates the large-scale hypothesis testing problem for multivariate generalized linear models in the presence of confounding effects. Under arbitrary confounding mechanisms, we propose a unified statistical estimation and inference framework that harnesses orthogonal structures and integrates linear projections into three key stages. It begins by disentangling marginal and uncorrelated confounding effects to recover the latent coefficients. Subsequently, latent factors and primary effects are jointly estimated through lasso-type optimization. Finally, we incorporate projected and weighted bias-correction steps for hypothesis testing. Theoretically, we establish the identification conditions of various effects and non-asymptotic error bounds. We show effective Type-I error control of asymptotic <i>z</i>-tests as sample and response sizes approach infinity. Numerical experiments demonstrate that the proposed method controls the false discovery rate by the Benjamini-Hochberg procedure and is more powerful than alternative methods. By comparing single-cell RNA-seq counts from two groups of samples, we demonstrate the suitability of adjusting confounding effects when significant covariates are absent from the model. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.28726457.v1
title: Simultaneous inference for generalized linear models with unmeasured confounders

description: Tens of thousands of simultaneous hypothesis tests are routinely performed in genomic studies to identify differentially expressed genes. However, due to unmeasured confounders, many standard statistical approaches may be substantially biased. This paper investigates the large-scale hypothesis testing problem for multivariate generalized linear models in the presence of confounding effects. Under arbitrary confounding mechanisms, we propose a unified statistical estimation and inference framework that harnesses orthogonal structures and integrates linear projections into three key stages. It begins by disentangling marginal and uncorrelated confounding effects to recover the latent coefficients. Subsequently, latent factors and primary effects are jointly estimated through lasso-type optimization. Finally, we incorporate projected and weighted bias-correction steps for hypothesis testing. Theoretically, we establish the identification conditions of various effects and non-asymptotic error bounds. We show effective Type-I error control of asymptotic <i>z</i>-tests as sample and response sizes approach infinity. Numerical experiments demonstrate that the proposed method controls the false discovery rate by the Benjamini-Hochberg procedure and is more powerful than alternative methods. By comparing single-cell RNA-seq counts from two groups of samples, we demonstrate the suitability of adjusting confounding effects when significant covariates are absent from the model.
DOI: 10.15468/dl.97tsys
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Hevea brasiliensis (Willd. ex A.Juss.) Müll.Arg.",
 "Year 1900-2025"
 ]
}

 The dataset includes 95 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025592-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7278/s5d-srwd-k33d
title: Large Eddy Simulations of Tall Vegetated Canopies: Homogeneous Canopies, Part 3
DOI: 10.15468/dl.yzmckj
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Doryrhina camerunensis (Eisentraut, 1956)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 19 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025594-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3hvqc8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudobarbus tenuis (Barnard, 1938)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.529 -24.0715,20.509 -24.0455,20.509 -24.0715,20.529 -24.0715))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025595-250525065834625/datasets/export for details.
DOI: 10.15468/dl.g3mgqx
title: Occurrence Download

description: A dataset containing 698 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phrynosoma asio Cope, 1864"
 ]
}

 The dataset includes 698 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025596-250525065834625/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.29257574
title: Knowledge Gender And Attitude Of Residents Towards Sewage DisposalIn Calabar Municipality Cross River State.pdf

description: The purpose of this study was to investigate Knowledge, gender and attitude of residents towards sewage disposal in Calabar Municipality of Cross River State. In order to achieve the purpose of this study, two null hypotheses were formulated and tested at 0.05 level of significance. A detailed review of literature was carried out based on the variables of the study. Simple random sampling technique was adopted in selecting the seven communities while systematic random sampling technique was adopted in selecting the three hundred and eighty-two respondents used for the study. A structured questionnaire was the instrument used for data collection. The instrument was validated by relevant experts to establish its validity. To test the hypotheses formulated for the study, Pearson product moment correlation and independent t-test, statistical tools were used for data analysis. The result obtained from analysis of data and testing of hypotheses in the study revealed that there is a significant influence of knowledge of environmental issues, gender, and attitude of residents towards sewage disposal in the study area. Based on these findings it was recommended among other things that Environmental Educators should continue to disseminate relevant environment-related information that would encourage more people to develop positive attitude towards sewage disposal Keywords: knowledge; gender; attitude; residents; sewage disposal
DOI: 10.6084/m9.figshare.29257574.v1
title: Knowledge Gender And Attitude Of Residents Towards Sewage DisposalIn Calabar Municipality Cross River State.pdf

description: The purpose of this study was to investigate Knowledge, gender and attitude of residents towards sewage disposal in Calabar Municipality of Cross River State. In order to achieve the purpose of this study, two null hypotheses were formulated and tested at 0.05 level of significance. A detailed review of literature was carried out based on the variables of the study. Simple random sampling technique was adopted in selecting the seven communities while systematic random sampling technique was adopted in selecting the three hundred and eighty-two respondents used for the study. A structured questionnaire was the instrument used for data collection. The instrument was validated by relevant experts to establish its validity. To test the hypotheses formulated for the study, Pearson product moment correlation and independent t-test, statistical tools were used for data analysis. The result obtained from analysis of data and testing of hypotheses in the study revealed that there is a significant influence of knowledge of environmental issues, gender, and attitude of residents towards sewage disposal in the study area. Based on these findings it was recommended among other things that Environmental Educators should continue to disseminate relevant environment-related information that would encourage more people to develop positive attitude towards sewage disposal Keywords: knowledge; gender; attitude; residents; sewage disposal
DOI: 10.15468/dl.tga4tw
title: Occurrence Download

description: A dataset containing 54495 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Colombia",
 "DatasetKey is one of (EOD – eBird Observation Dataset, iNaturalist Research-grade Observations, Aves de las Reservas Distritales de Humedal de Bogotá, D.C., Avifauna de los Parques Ecológicos Distritales de Montaña del Distrito Capital, Seguimiento a la Fauna presente en las Actividades de Mantenimiento realizadas entre la Empresa de Acueducto y Alcantarillado de Bogotá ESP y Aguas de Bogotá SA ESP en los Parques Ecológicos Distritales de Humedal, Bogotá D.C., Caracterización de avifauna - Reserva Thomas Vander Hammen, Caracterización de fauna en diferentes gradientes altitudinales del departamento de Boyacá, Colombia, Caracterización de la avifauna del Bosque Las Mercedes y áreas anexas, Bogotá D.C, Avifauna urbana asociada a calles arboladas en la ciudad de Bogotá, 2019, Censos de aves en los municipio de Fusagasugá y Sibaté (Cundinamarca) - BIO Alas, cantos y colores, Observation.org, Nature data from around the World, Xeno-canto - Bird sounds from around the world, NABU|naturgucker)",
 "TaxonKey is Turdus fuscater Orbigny & Lafresnaye, 1837",
 "Year 2019-2021"
 ]
}

 The dataset includes 54495 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025578-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y7cgj9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudobarbus tenuis (Barnard, 1938)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -23.2724,25.1306 -24.0715,25.5395 -24.0715,25.5395 -23.2724))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025597-250525065834625/datasets/export for details.
DOI: 10.15468/dl.cx292g
title: Occurrence Download

description: A dataset containing 213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Hipposideros cyclops (Temminck, 1853)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 213 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025598-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.895fhq
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Mercurialis annua L.",
 "Year 1900-2025"
 ]
}

 The dataset includes 13 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025600-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15602167
title: Synthetic ICH Datasets For Device Evaluations

description: Synthetic intracranial hemorrhage (ICH) datasets and artificial intelligence model files to recreate figures found in Knowledge-based synthetic intracranial hemorrhage CT datasets for device evaluations and generalizability assessments (under submission) using the Jupyter Notebooks found in the manuscript repository.

This repository contains the dataset used to reproduce the results presented in the paper: Knowledge-based synthetic intracranial hemorrhage CT datasets for device evaluations and generalizability assessments (preprint in Files).

Deep learning models for Computer-Assisted Detection (CAD) of intracranial hemorrhage (ICH) often struggle with generalizability when encountering CT data with characteristics underrepresented in their training sets (e.g., variations in patient demographics, hemorrhage types, or image acquisition parameters).

This project introduces an open-source framework to:



Generate synthetic ICH CT data by inserting realistic, modeled hemorrhages (epidural, subdural, intraparenchymal) into a digital head phantom.

Simulate mass effect and control hemorrhage volume and attenuation based on real data distributions.

Create datasets with varied CT acquisition parameters (mAs, kVp) to robustly evaluate the generalizability of ICH detection models.


Our work validates this approach by demonstrating comparable performance of an ICH detection model on our synthetic dataset (AUC 0.877) versus an independent real dataset (AUC 0.919). This framework enables more comprehensive testing and evaluation of CAD devices for ICH.
DOI: 10.7278/s5d-3ve7-pm2e
title: Large Eddy Simulations of Tall Vegetated Canopies: Heterogeneous Canopies (Gaps), Part 1
DOI: 10.15468/dl.qmj4w9
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudobarbus tenuis (Barnard, 1938)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.2855 -34.7533,20.509 -34.5676,20.509 -32.9007,17.7723 -32.9007,17.8156 -33.0786,18.3471 -33.7176,18.3748 -33.8287,18.2181 -34.0492,18.3197 -34.3408,18.4452 -34.429,18.5435 -34.4213,18.5872 -34.3667,18.5363 -34.167,18.7345 -34.1508,18.7216 -34.3637,18.7808 -34.4521,19.0289 -34.4206,19.0831 -34.4835,19.2655 -34.5017,19.2032 -34.6157,19.2394 -34.6926,19.375 -34.6963,19.6091 -34.8524,19.8251 -34.8396,19.9798 -34.9064,20.1081 -34.8731,20.1517 -34.7847,20.2855 -34.7533))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025603-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kdvt8t
title: Occurrence Download

description: A dataset containing 627862 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stellaria media (L.) Vill."
 ]
}

 The dataset includes 627862 records from 2943 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025561-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jr8est
title: Occurrence Download

description: A dataset containing 166 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acanthodactylus bedriagai Lataste, 1881"
 ]
}

 The dataset includes 166 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0284864-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.