cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25376/hra.30992677
title: Mechanisms of microRNA trafficking to mitochondria in the heart.pdf

description: <br>MicroRNAs (miRNAs) are essential post-transcriptional regulators of gene expression, and accumulating evidence supports their presence and function within mitochondria. These mitochondrial microRNAs (MitomiRs) modulate key processes such as oxidative phosphorylation, ATP production, calcium homeostasis, and reactive oxygen species balance in cardiac tissue. Despite growing recognition of their importance, the mechanisms governing miRNA trafficking to mitochondria remain incompletely understood. This review explores the current knowledge on miRNA biogenesis, mitochondrial import pathways — including the roles of Argonaute 2 (AGO2), the Translocase of the Outer/Inner Mitochondrial Membrane (TOM/ TIM) complexes, and Polynucleotide Phosphorylase (PNPase) — and the regulatory impact of specific MitomiRs, such as miR- 181c, miR-210, miR-378, let-7b, and miR-1. Understanding how these molecules influence mitochondrial function provides insight into their therapeutic potential in cardiovascular disease.
DOI: 10.25376/hra.30992677.v1
title: Mechanisms of microRNA trafficking to mitochondria in the heart.pdf

description: <br>MicroRNAs (miRNAs) are essential post-transcriptional regulators of gene expression, and accumulating evidence supports their presence and function within mitochondria. These mitochondrial microRNAs (MitomiRs) modulate key processes such as oxidative phosphorylation, ATP production, calcium homeostasis, and reactive oxygen species balance in cardiac tissue. Despite growing recognition of their importance, the mechanisms governing miRNA trafficking to mitochondria remain incompletely understood. This review explores the current knowledge on miRNA biogenesis, mitochondrial import pathways — including the roles of Argonaute 2 (AGO2), the Translocase of the Outer/Inner Mitochondrial Membrane (TOM/ TIM) complexes, and Polynucleotide Phosphorylase (PNPase) — and the regulatory impact of specific MitomiRs, such as miR- 181c, miR-210, miR-378, let-7b, and miR-1. Understanding how these molecules influence mitochondrial function provides insight into their therapeutic potential in cardiovascular disease.
DOI: 10.15468/dl.3zrp3a
title: Occurrence Download

description: A dataset containing 91133 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "TaxonKey is Athous"
 ]
}

 The dataset includes 91133 records from 760 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071375-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18135127
title: Dataset_for_arXiv_2512_18024

description: ###################################

## QCD_power_spectrum_2512_18024 ##

###################################

 

This repository contains the event data (lhe), tabular data, source code used to generate that data (C++), and gnuplot scripts and Mathematica notebooks used to generate the plots used in article 'A formalism for constructing the QCD power spectrum with finite sampling' (arXiv 2512.18024).

 

##########################

## Repository Structure ##

##########################

 

This repository is structured as follows:

 

src/

- C++ source code used for

      - The analytic power spectrum calculation

      - Event generation

      - Power spectra calculation of events

      - Angular correlation functions

 

CONF/

- Text configuration files used to pass parameter settings to simulations

 

dat/

- The lhe files used to seed PYTHIA showers

- .dat files containing showered events, their power spectra, and angular correlation functions

- .txt files containing logs of the power spectrum calculations of the showered events

- .dat files of samplings of isotropic distributions on the sphere, and their power spectra as tracks and towers

- .dat file used to generate the shape function coefficients that mimic a 'Butterworth Low-pass Filter'

 

 

scripts/

- Gnuplot scripts used to generate the figures

- Mathematica notebook used to generate the kinematic depictions

 

 

Figures/

- .pdf files of all figures used in the article

 

 

 

##################

## Dependencies ##

##################

 

- MadGraph 5

- PYTHIA 8

- C++11-compatible compiler

- Mathematica 12

- Gnuplot 5.2

 

- Publically available external software

 

  ** pqRand **

     Repository: https://github.com/keith-pedersen/pqRand

     

  ** libkdp **

     Repository: https://github.com/keith-pedersen/libkdp

     

  ** PowerJets **

     Repository: https://github.com/keith-pedersen/PowerJets

 

#######################

## Data availability ##

#######################

 

A frozen snapshot of this repository is archived here on Zenodo

 

Ongoing development is hosted on GitHub.

- Repository: https://github.com/mithilaum/QCD_power_spectrum_2512_18024

 

 

##########################

## License and citation ##

##########################

 

This code is released under the Creative Commons Zero v1.0 Universal.

 

If you use this code or data, please cite:

       - arXiv:2512.18024
DOI: 10.5281/zenodo.18135128
title: Dataset_for_arXiv_2512_18024

description: ###################################

## QCD_power_spectrum_2512_18024 ##

###################################

 

This repository contains the event data (lhe), tabular data, source code used to generate that data (C++), and gnuplot scripts and Mathematica notebooks used to generate the plots used in article 'A formalism for constructing the QCD power spectrum with finite sampling' (arXiv 2512.18024).

 

##########################

## Repository Structure ##

##########################

 

This repository is structured as follows:

 

src/

- C++ source code used for

      - The analytic power spectrum calculation

      - Event generation

      - Power spectra calculation of events

      - Angular correlation functions

 

CONF/

- Text configuration files used to pass parameter settings to simulations

 

dat/

- The lhe files used to seed PYTHIA showers

- .dat files containing showered events, their power spectra, and angular correlation functions

- .txt files containing logs of the power spectrum calculations of the showered events

- .dat files of samplings of isotropic distributions on the sphere, and their power spectra as tracks and towers

- .dat file used to generate the shape function coefficients that mimic a 'Butterworth Low-pass Filter'

 

 

scripts/

- Gnuplot scripts used to generate the figures

- Mathematica notebook used to generate the kinematic depictions

 

 

Figures/

- .pdf files of all figures used in the article

 

 

 

##################

## Dependencies ##

##################

 

- MadGraph 5

- PYTHIA 8

- C++11-compatible compiler

- Mathematica 12

- Gnuplot 5.2

 

- Publically available external software

 

  ** pqRand **

     Repository: https://github.com/keith-pedersen/pqRand

     

  ** libkdp **

     Repository: https://github.com/keith-pedersen/libkdp

     

  ** PowerJets **

     Repository: https://github.com/keith-pedersen/PowerJets

 

#######################

## Data availability ##

#######################

 

A frozen snapshot of this repository is archived here on Zenodo

 

Ongoing development is hosted on GitHub.

- Repository: https://github.com/mithilaum/QCD_power_spectrum_2512_18024

 

 

##########################

## License and citation ##

##########################

 

This code is released under the Creative Commons Zero v1.0 Universal.

 

If you use this code or data, please cite:

       - arXiv:2512.18024
DOI: 10.3886/e242333v1
title: Abuja Football College (AFC) 2026/27 Form Is Out NOW, Call Dr. Bello (08136874877),(0813-687-4877), To apply contact the admin office for more information on how to make your proper registration before the closing date.

description: Abuja Football College (AFC) 2026/27 Form Is Out NOW, Call Dr. Bello (08136874877),(0813-687-4877), To apply contact the admin office for more information on how to make your proper registration before the closing date. (081) 368 (74877) NOTE: Admission into secondary school is open
DOI: 10.3886/e242332v1
title: Papilo Football Academy 2026/27 Form Is Out NOW, Call Dr. Bello (08136874877),(0813-687-4877), To apply contact the admin office for more information on how to make your proper registration before the closing date.

description: Papilo Football Academy 2026/27 Form Is Out NOW, Call Dr. Bello (08136874877),(0813-687-4877), To apply contact the admin office for more information on how to make your proper registration before the closing date. (081) 368 (74877) NOTE: Admission into secondary school is open
DOI: 10.3886/e242337v1
title: Abuja Football College (AFC) 2026/27 Form Is Out NOW, Call Dr. Bello (09161773510, 08165181546) To apply contact the admin office for more information on how to make your proper registration before the closing date. (081) 368 (74877)

description: Abuja Football College (AFC) 2026/27 Form Is Out NOW, Call Dr. Bello (09161773510, 08165181546) To apply contact the admin office for more information on how to make your proper registration before the closing date. (081) 368 (74877) NOTE: Admission into secondary school is open
DOI: 10.3886/e242341v1
title: Kwara Football Academy (KFA) 2026/27 Form Is Out NOW, Call Dr. Bello (09161773510, 08165181546) To apply contact the admin office for more information on how to make your proper registration before the closing date. (081) 368 (74877)

description: Kwara Football Academy (KFA) 2026/27 Form Is Out NOW, Call Dr. Bello (09161773510, 08165181546) To apply contact the admin office for more information on how to make your proper registration before the closing date. (081) 368 (74877) NOTE: Admission into secondary school is open
DOI: 10.3886/e242342v1
title: Pepsi Football Academy 2026/27 Form Is Out NOW, Call Dr. Bello (09161773510, 08165181546) To apply contact the admin office for more information on how to make your proper registration before the closing date. (081) 368 (74877)

description: Pepsi Football Academy 2026/27 Form Is Out NOW, Call Dr. Bello (09161773510, 08165181546) To apply contact the admin office for more information on how to make your proper registration before the closing date. (081) 368 (74877) NOTE: Admission into secondary school is open
DOI: 10.3886/e242343v1
title: Papilo Football Academy 2026/27 Form Is Out NOW, Call Dr. Bello (09161773510, 08165181546) To apply contact the admin office for more information on how to make your proper registration before the closing date. (081) 368 (74877)

description: Papilo Football Academy 2026/27 Form Is Out NOW, Call Dr. Bello (09161773510, 08165181546) To apply contact the admin office for more information on how to make your proper registration before the closing date. (081) 368 (74877) NOTE: Admission into secondary school is open
DOI: 10.3886/e242330v1
title: Pepsi Football Academy 2026/27 Form Is Out NOW

description: Pepsi Football Academy 2026/27 Form Is Out NOW, Call Dr. Bello (08136874877) (081) 368 (74877), To apply contact the admin office for more information on how to make your proper registration before the closing date. (081) 368 (74877) NOTE: Admission into secondary school is open.
DOI: 10.3886/e242331v1
title: Kwara Football Academy (AFC) 2026/27 Form Is Out NOW, Call Dr. Bello (08136874877) (081) 368 (74877), To apply contact the admin office for more information on how to make your proper registration before the closing date

description: Pepsi Football Academy 2026/27 Form Is Out NOW, Call Dr. Bello (08136874877),(0813-687-4877), To apply contact the admin office for more information on how to make your proper registration before the closing date. (081) 368 (74877) NOTE: Admission into secondary school is open.
DOI: 10.15468/dl.5sbqkg
title: Occurrence Download

description: A dataset containing 2490 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Andropogon glomeratus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2490 records from 186 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071386-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wh2zfh
title: Occurrence Download

description: A dataset containing 19177111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haemorhous mexicanus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 19177111 records from 150 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071380-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0212534.10fu
title: SH0212534.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0212535.10fu
title: SH0212535.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0212536.10fu
title: SH0212536.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0212537.10fu
title: SH0212537.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0212538.10fu
title: SH0212538.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0212539.10fu
title: SH0212539.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0212540.10fu
title: SH0212540.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0212541.10fu
title: SH0212541.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0212542.10fu
title: SH0212542.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.