cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18745661
title: Prevention-Theorem: Computational Implementation of Time-Dependent HIV Prevention Constraints Code and Data Repository

description: Computational implementation of "Finite Prevention Windows Under Irreversible Infection Establishment: A Mathematical Framework for HIV Post-Exposure Prophylaxis Timing"

This repository contains the analysis code, figure generation, and reproducibility suite for the Prevention Theorem, which formalizes HIV prevention as a mathematical boundary condition problem. The theorem establishes that post-exposure prophylaxis (PEP) can achieve true prevention (R₀(e) = 0) only when initiated within a finite biological window prior to irreversible proviral integration.

Key findings:- PEP efficacy decays monotonically as proviral integration completes- Effective prevention window compresses ~3-fold for parenteral vs. mucosal exposures (~12–24h vs. ~72h)- Structural access delays for PWID systematically exceed the compressed parenteral window, bounding population-level PEP efficacy below 10%

Submitted to Journal of Infectious Diseases (JID-S-26-00368).Preprint: https://doi.org/10.20944/preprints202601.1090.v1GitHub: https://github.com/Nyx-Dynamics/Prevention-Theorem

Orcid ID: 0000-0002-9216-8569

 

Interactive summary (narrated slide deck, mind map, infographic): https://nyxdynamics.org/research/prevention-theorem/
description: If you use this software, please cite it as below.

@software{demidont2026prevention_code,  author = {Demidont, A.C.},  title = {Prevention-Theorem: Computational Implementation of            Time-Dependent HIV Prevention Constraints},  year = {2026},  publisher = {Zenodo},  version = {v1.2.0},  doi = {10.5281/zenodo.18745661},  url = {https://doi.org/10.5281/zenodo.18745661}}
DOI: 10.5281/zenodo.18745602
title: Prevention-Theorem: Computational Implementation of Time-Dependent HIV Prevention Constraints Code and Data Repository

description: Computational implementation of "Finite Prevention Windows Under Irreversible Infection Establishment: A Mathematical Framework for HIV Post-Exposure Prophylaxis Timing"

This repository contains the analysis code, figure generation, and reproducibility suite for the Prevention Theorem, which formalizes HIV prevention as a mathematical boundary condition problem. The theorem establishes that post-exposure prophylaxis (PEP) can achieve true prevention (R₀(e) = 0) only when initiated within a finite biological window prior to irreversible proviral integration.

Key findings:- PEP efficacy decays monotonically as proviral integration completes- Effective prevention window compresses ~3-fold for parenteral vs. mucosal exposures (~12–24h vs. ~72h)- Structural access delays for PWID systematically exceed the compressed parenteral window, bounding population-level PEP efficacy below 10%

Submitted to Journal of Infectious Diseases (JID-S-26-00368).Preprint: https://doi.org/10.20944/preprints202601.1090.v1GitHub: https://github.com/Nyx-Dynamics/Prevention-Theorem

Orcid ID: 0000-0002-9216-8569

 

Interactive summary (narrated slide deck, mind map, infographic): https://nyxdynamics.org/research/prevention-theorem/
description: If you use this software, please cite it as below.

@software{demidont2026prevention_code,  author = {Demidont, A.C.},  title = {Prevention-Theorem: Computational Implementation of            Time-Dependent HIV Prevention Constraints},  year = {2026},  publisher = {Zenodo},  version = {v1.2.0},  doi = {10.5281/zenodo.18745661},  url = {https://doi.org/10.5281/zenodo.18745661}}
DOI: 10.6084/m9.figshare.31394877
title: DATA SET

description: This article is published for educational purposes with an aim of mitigating the common barrier Caused by educators when imparting knowledge in the teaching and learning environment,it also addresses the significance of LOLT in teaching content subject.
DOI: 10.6084/m9.figshare.31394877.v1
title: DATA SET

description: This article is published for educational purposes with an aim of mitigating the common barrier Caused by educators when imparting knowledge in the teaching and learning environment,it also addresses the significance of LOLT in teaching content subject.
DOI: 10.5281/zenodo.18748991
title: MULOQOT MADANIYATI ORQALI TALABALARDA AXLOQIY FAZILATLARNI RIVOJLANTIRISH

description: Mazkur ilmiy maqolada oliy ta’lim muassasalarida muloqot madaniyatining talaba shaxsini har tomonlama, xususan ma’naviy-axloqiy jihatdan shakllantirishdagi o‘rni keng qamrovda yoritiladi. Tadqiqot pedagogik nazariya va amaliyot hamda islom ta’limoti asosida olib borilib, muloqot jarayonining talabalarda hurmat, mas’uliyat, halollik, vijdonlilik, sabr-toqat, bag‘rikenglik, adolat, hamkorlik va ijtimoiy faollik kabi axloqiy fazilatlarni rivojlantirishdagi ahamiyati chuqur tahlil qilinadi. Maqolada o‘qituvchi–talaba va talaba–talaba o‘rtasidagi muloqotning tarbiyaviy imkoniyatlari, zamonaviy raqamli ta’lim muhitida muloqot madaniyatining axloqiy jihatlari, shuningdek Qur’oni karim oyatlari va Payg‘ambarimiz Muhammad sollallohu alayhi vasallamning sahih hadislarida bayon etilgan muomala odobi yoritib beriladi.
DOI: 10.5281/zenodo.18748990
title: MULOQOT MADANIYATI ORQALI TALABALARDA AXLOQIY FAZILATLARNI RIVOJLANTIRISH

description: Mazkur ilmiy maqolada oliy ta’lim muassasalarida muloqot madaniyatining talaba shaxsini har tomonlama, xususan ma’naviy-axloqiy jihatdan shakllantirishdagi o‘rni keng qamrovda yoritiladi. Tadqiqot pedagogik nazariya va amaliyot hamda islom ta’limoti asosida olib borilib, muloqot jarayonining talabalarda hurmat, mas’uliyat, halollik, vijdonlilik, sabr-toqat, bag‘rikenglik, adolat, hamkorlik va ijtimoiy faollik kabi axloqiy fazilatlarni rivojlantirishdagi ahamiyati chuqur tahlil qilinadi. Maqolada o‘qituvchi–talaba va talaba–talaba o‘rtasidagi muloqotning tarbiyaviy imkoniyatlari, zamonaviy raqamli ta’lim muhitida muloqot madaniyatining axloqiy jihatlari, shuningdek Qur’oni karim oyatlari va Payg‘ambarimiz Muhammad sollallohu alayhi vasallamning sahih hadislarida bayon etilgan muomala odobi yoritib beriladi.
DOI: 10.15468/dl.8mupn4
title: Occurrence Download

description: A dataset containing 3280 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is North America",
 "CoordinateUncertaintyInMeters is less than or equal to 51.0",
 "Country is one of (United States of America, Canada)",
 "GbifRegion is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Delphinium nuttallianum"
 ]
}

 The dataset includes 3280 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004351-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.35n76m
title: Occurrence Download

description: A dataset containing 755 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Andropogon bicornis",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 755 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004350-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14935727
title: Balochi Language to English Translation Dataset
DOI: 10.13140/rg.2.2.31514.86729/17
title: 🔍 Ótimo trabalho, André! Seus itens de pesquisa alcançaram 70.000 LEITURAS no "ResearchGate". Alcançadas em fevereiro de 2026.
DOI: 10.15468/dl.epswdf
title: Occurrence Download

description: A dataset containing 21557 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence, Observation)",
 "TaxonKey is Eucalyptus melliodora"
 ]
}

 The dataset includes 21557 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004352-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18748411
title: Dataset for "A Continuous Implicit Neural Representation Framework with Gradient Regularization for Sea Surface Height Reconstruction From Satellite Altimetry"

description: This repository archives the raw datasets used in the study:

“A Continuous Implicit Neural Representation Framework with Gradient Regularization for Sea Surface Height Reconstruction From Satellite Altimetry.”

The datasets analysed in this study are provided by the Ocean Data Challenges initiative maintained by AVISO.

This record provides a persistent copy of the original data files used in the numerical experiments, in accordance with the GMD data policy.



1. Gulf Stream region (GF) experiment — 2020

Domain: [65°W–55°W, 33°N–43°N]

This experiment uses simulated sea surface height (SSH) fields from the NATL60 nature run within the Ocean Data Challenges framework.

dc_obsContains along-track sampling data derived from NATL60 corresponding to multiple altimeter configurations:Topex–Poseidon (interleaved), nadir SWOT, KaRIn SWOT, Jason-1, Geosat-2, and Envisat.

dc_refContains the reference SSH field from the NATL60 nature run:NATL60-CJM165_GULFSTREAM_*.1h_SSH.ncThis file serves as the ground truth for reconstruction and evaluation.

 

2. Western Mediterranean Sea (MEDIT) experiment — 2023

Domain: [1°E–20°E, 30°N–45°N]

dc_obsContains along-track data from five nadir altimeters (alg, h2b, j3, s3a, s3b) and the corresponding gridded MDT map.These data are used as inputs for SSH reconstruction.

dc_evalContains along-track data from the c2n nadir altimeter.This dataset is used exclusively for evaluation and must not be used in the reconstruction stage, following the Ocean Data Challenges protocol.



All files are provided in their original NetCDF format as distributed by the Ocean Data Challenges initiative. For full dataset documentation and licensing information, users should refer to the official AVISO/Ocean Data Challenges resources.
DOI: 10.15468/dl.8j85vd
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Animal Sound Archive",
 "TaxonKey is Oryctolagus cuniculus"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004354-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nt2f8b
title: Occurrence Download

description: A dataset containing 1347 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aniba perutilis",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1347 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004353-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18748410
title: Dataset for "A Continuous Implicit Neural Representation Framework with Gradient Regularization for Sea Surface Height Reconstruction From Satellite Altimetry"

description: This repository archives the raw datasets used in the study:

“A Continuous Implicit Neural Representation Framework with Gradient Regularization for Sea Surface Height Reconstruction From Satellite Altimetry.”

The datasets analysed in this study are provided by the Ocean Data Challenges initiative maintained by AVISO.

This record provides a persistent copy of the original data files used in the numerical experiments, in accordance with the GMD data policy.



1. Gulf Stream region (GF) experiment — 2020

Domain: [65°W–55°W, 33°N–43°N]

This experiment uses simulated sea surface height (SSH) fields from the NATL60 nature run within the Ocean Data Challenges framework.

dc_obsContains along-track sampling data derived from NATL60 corresponding to multiple altimeter configurations:Topex–Poseidon (interleaved), nadir SWOT, KaRIn SWOT, Jason-1, Geosat-2, and Envisat.

dc_refContains the reference SSH field from the NATL60 nature run:NATL60-CJM165_GULFSTREAM_*.1h_SSH.ncThis file serves as the ground truth for reconstruction and evaluation.

 

2. Western Mediterranean Sea (MEDIT) experiment — 2023

Domain: [1°E–20°E, 30°N–45°N]

dc_obsContains along-track data from five nadir altimeters (alg, h2b, j3, s3a, s3b) and the corresponding gridded MDT map.These data are used as inputs for SSH reconstruction.

dc_evalContains along-track data from the c2n nadir altimeter.This dataset is used exclusively for evaluation and must not be used in the reconstruction stage, following the Ocean Data Challenges protocol.



All files are provided in their original NetCDF format as distributed by the Ocean Data Challenges initiative. For full dataset documentation and licensing information, users should refer to the official AVISO/Ocean Data Challenges resources.
DOI: 10.5281/zenodo.17632388
title: KP RC reports b04
DOI: 10.5281/zenodo.17632387
title: KP RC reports b04
DOI: 10.15468/dl.ze69q8
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Ancistrus piriformis"
 ]
}

 The dataset includes 74 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004355-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cvq6jj
title: Occurrence Download

description: A dataset containing 64487 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)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "TaxonKey is Mugil liza"
 ]
}

 The dataset includes 64487 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004309-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mu2mfa
title: Occurrence Download

description: A dataset containing 173534 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Elasmobranchii"
 ]
}

 The dataset includes 173534 records from 352 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004332-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n5ht8c
title: Occurrence Download

description: A dataset containing 972 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Annona muricata",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 972 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004356-260221153910048/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.26133865
title: Balancing land use for conservation, agriculture, and renewable energy (Brock et al., 2026)

description: Code and spatial files for the publication, 'Balancing land use for conservation, agriculture, and renewable energy' (Brock et al., 2026). https://doi.org/10.1038/s41467-026-69952-6Growing demand for food coupled with climate commitments to reduce emissions will result in more land development for agriculture and renewable energy. Simultaneously, conserving land for biodiversity and nature’s contributions to people (NCP) is imperative for achieving international climate, sustainable development, and biodiversity goals. Meeting these interconnected objectives requires efficient land allocation across sectors. Here, we present a flexible, multiple-objective framework for strategically allocating land to mitigate threats to biodiversity and NCP under climate change while supporting development. Application of this framework at a global scale through country-level targets shows that if future development is planned without consideration of nature, demands for land could impact nearly 1 million km<sup>2</sup> of high-priority conservation areas. Multi-sector planning can mitigate potential conflict, reducing carbon loss and species exposure. Our findings underscore the need to conserve critical areas for nature, reduce land demand for food and energy, and intentionally coordinate land use across sectors.
DOI: 10.6084/m9.figshare.26133865.v4
title: Balancing land use for conservation, agriculture, and renewable energy (Brock et al., 2026)

description: Code and spatial files for the publication, 'Balancing land use for conservation, agriculture, and renewable energy' (Brock et al., 2026). https://doi.org/10.1038/s41467-026-69952-6Growing demand for food coupled with climate commitments to reduce emissions will result in more land development for agriculture and renewable energy. Simultaneously, conserving land for biodiversity and nature’s contributions to people (NCP) is imperative for achieving international climate, sustainable development, and biodiversity goals. Meeting these interconnected objectives requires efficient land allocation across sectors. Here, we present a flexible, multiple-objective framework for strategically allocating land to mitigate threats to biodiversity and NCP under climate change while supporting development. Application of this framework at a global scale through country-level targets shows that if future development is planned without consideration of nature, demands for land could impact nearly 1 million km<sup>2</sup> of high-priority conservation areas. Multi-sector planning can mitigate potential conflict, reducing carbon loss and species exposure. Our findings underscore the need to conserve critical areas for nature, reduce land demand for food and energy, and intentionally coordinate land use across sectors.
DOI: 10.15468/dl.upxku4
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "StateProvince is Tamaulipas",
 "TaxonKey is Mariosousa"
 ]
}

 The dataset includes 36 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004357-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jaz6hz
title: Occurrence Download

description: A dataset containing 36330 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cetacea",
 "Country is France",
 "Year is less than 2020",
 "Year is greater than or equal to 2015"
 ]
}

 The dataset includes 36330 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014815-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h97d2s
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is one of (Oncorhynchus tshawytscha)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0147896-230224095556074/datasets/export for details.
DOI: 10.15468/dl.hu26we
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pterocaulon sphaeranthoides (DC.) F.Muell."
 ]
}

 The dataset includes 97 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0097382-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21942/uva.14102429
title: Reddit "UsVsThem" Dataset (Populist Attitudes, Media Bias, Basic Emotions, Social Identity)

description: We provide our novel <i>UsVsThem </i>dataset, consisting of nearly 7000 Reddit comments manually annotated via MTurk for populist attitudes, media Bias, basic emotions (6 negative and 6 positive), and social identity. Our Reddit dataset is made publicly available for the research community to be used. Our NLP research was presented and published at the EACL 2021 conference. <b>As a common courtesy the citation of our paper is very appreciated (CC BY-NC 4.0 Licence):</b>Huguet-Cabot, P. L., Abadi, D., Fischer, A., & Shutova, E. (2021, April). Us vs. Them: A Dataset of Populist Attitudes, News Bias and Emotions. In <i>Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume</i> (pp. 1921–1945). http://dx.doi.org/10.18653/v1/2021.eacl-main.165GitHub repository:https://github.com/LittlePea13/UsVsThemCC BY-NC 4.0 Licence:This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator. CC BY-NC includes the following elements:BY: credit must be given to the creator.<br>NC: Only noncommercial uses of the work are permitted.<br>https://creativecommons.org/licenses/by-nc/4.0/Funding statement:This research was funded by the European Union’s H2020 project Democratic Efficacy and the Varieties of Populism in Europe (DEMOS) under H2020-EU.3.6.1.1. and H2020-EU.3.6.1.2. (grant agreement ID: 822590) and supported by the European Union’s H2020 Marie Skłodowska-Curie project Knowledge Graphs at Scale (KnowGraphs) under H2020-EU.1.3.1. (grant agreement ID: 860801).
DOI: 10.15468/dl.5hj39z
title: Occurrence Download

description: A dataset containing 67469 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Royal Botanic Gardens, Kew - Herbarium Specimens",
 "TypeStatus is one of (Syntype, Paratype, Paralectotype, Neotype, Lectotype, Isotype, Isosyntype, Isoneotype, Isoparatype, Isolectotype, Holotype, Epitype, Cotype, Unspecified type, Topotype)"
 ]
}

 The dataset includes 67469 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0213092-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.62kjqb
title: Occurrence Download

description: A dataset containing 36515 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Taxon occurrence data for the FungalRoot database"
 ]
}

 The dataset includes 36515 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014795-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.23epvx
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Senecio subdentatus Ledeb."
 ]
}

 The dataset includes 44 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0147907-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.