cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25919/vb38-1093
title: Long-term project observations for project P456 semester 2025OCTS_02

description: The Parkes Pulsar Timing Array (PPTA) project has three primary goals: (a) detection of gravitational waves from astronomical sources, (b) establishment of a pulsar timescale, and (c) improvement of our understanding of Solar-system dynamics. We are now in an exciting regime where a signal detected in our (and other data sets) has the form expected for a gravitational wave background. We, along with the international community, are now working hard to either confirm or deny this result, and to determine the astrophysical origin of this signal. With this proposal, we aim to maintain our pre-eminent position in the field. This is a continuing proposal for which observations of millisecond pulsars (MSPs) will continue to improve bounds on ultra-low-frequency gravitational waves until they are detected with confidence. Continued Parkes observations will remain valuable at least until the first stage of the SKA is able to improve on our sensitivity and observing cadence. Even after the gravitational wave background is detected, continued observations will resolve the background origin and individual sources will be identified; advancing the nascent field of gravitational wave astronomy.
DOI: 10.5281/zenodo.17459138
title: Dynamic Session Enhanced Key Protocol (DSEKP) over Pre-Shared Key (PSK) for Lightweight and Secure IoT–Edge Communication

description: This repository contains the complete experimental and analytical dataset supporting the study“Lightweight Session-Key Rekeying Framework for Secure IoT–Edge Communication”

The artifact demonstrates a secure IoT–Edge communication model using HKDF-SHA256 derived dynamic session keys with AES-GCM authenticated encryption. Experiments were executed on a real-world setup involving ESP32 sensor nodes and a Raspberry Pi 5 edge server with containerized MQTT communication.

📁 Folder Structure





1. PSK EXP/ – Complete baseline PSK-AES-GCM implementation.





CLIENT-SIDE/ → ESP32 code, Arduino libraries, raw packet logs.




SERVER-SIDE/ → MQTT broker logs, decrypted data, and Docker configuration.






2. DSEKP EXP/ – DSEKP experiment dataset using per-session HKDF keys.





CLIENT-SIDE/ → DSEKP-AES-GCM (ESP32 sketch), multiple and single-session test logs.




SERVER-SIDE/ → Reliability and 6500-packet analysis results (MATLAB figures and CSV).






PSK vs DSEKP ANALYSIS/ – Combined comparative analysis for latency, throughput, payload size, and reliability.




Data Communication Workflow.txt – JSON field format used for both PSK and DSEKP data exchange.




Figures and Screenshots – Our_RealWorld_Setup.jpg, PSK_DATA_MATLAB_ANALYSIS.png, DSEKP_DATA_MATLAB_ANALYSIS.png, PSK-vs-DSEKP.png, secure_IOT-Edge_Communication_Flow.png.



⚙️ Experimental Environment





Hardware: ESP32 (38-pin dev board, DHT11 sensor), Raspberry Pi 5 (16 GB RAM, Ubuntu 22.04 LTS).




Software: Arduino IDE 2.2, Python 3.11, MATLAB R2023b, Eclipse Mosquitto 2.0 (Docker Compose).




Dataset Size: ~6500 packets per protocol, sampled at 2 s intervals.



📊 Key Findings





27 % latency overhead (mean PSK = 283 ms → DSEKP = 360 ms)




10 % payload increase (HKDF metadata addition)




99.8 % reliability across sessions



🔄 Reproducibility





Rebuild environment using Docker (docker-compose.yml inside SERVER-SIDE).




Flash ESP32 sketches in CLIENT-SIDE.




Run experiments and compare outputs with provided MATLAB analysis scripts.



🔒 License

Creative Commons Attribution – NonCommercial 4.0 International (CC BY-NC 4.0)

This record is restricted for peer review. Upon publication, the dataset will be made public with the same DOI.
DOI: 10.5281/zenodo.17459137
title: Dynamic Session Enhanced Key Protocol (DSEKP) over Pre-Shared Key (PSK) for Lightweight and Secure IoT–Edge Communication

description: This repository contains the complete experimental and analytical dataset supporting the study“Lightweight Session-Key Rekeying Framework for Secure IoT–Edge Communication”

The artifact demonstrates a secure IoT–Edge communication model using HKDF-SHA256 derived dynamic session keys with AES-GCM authenticated encryption. Experiments were executed on a real-world setup involving ESP32 sensor nodes and a Raspberry Pi 5 edge server with containerized MQTT communication.

📁 Folder Structure





1. PSK EXP/ – Complete baseline PSK-AES-GCM implementation.





CLIENT-SIDE/ → ESP32 code, Arduino libraries, raw packet logs.




SERVER-SIDE/ → MQTT broker logs, decrypted data, and Docker configuration.






2. DSEKP EXP/ – DSEKP experiment dataset using per-session HKDF keys.





CLIENT-SIDE/ → DSEKP-AES-GCM (ESP32 sketch), multiple and single-session test logs.




SERVER-SIDE/ → Reliability and 6500-packet analysis results (MATLAB figures and CSV).






PSK vs DSEKP ANALYSIS/ – Combined comparative analysis for latency, throughput, payload size, and reliability.




Data Communication Workflow.txt – JSON field format used for both PSK and DSEKP data exchange.




Figures and Screenshots – Our_RealWorld_Setup.jpg, PSK_DATA_MATLAB_ANALYSIS.png, DSEKP_DATA_MATLAB_ANALYSIS.png, PSK-vs-DSEKP.png, secure_IOT-Edge_Communication_Flow.png.



⚙️ Experimental Environment





Hardware: ESP32 (38-pin dev board, DHT11 sensor), Raspberry Pi 5 (16 GB RAM, Ubuntu 22.04 LTS).




Software: Arduino IDE 2.2, Python 3.11, MATLAB R2023b, Eclipse Mosquitto 2.0 (Docker Compose).




Dataset Size: ~6500 packets per protocol, sampled at 2 s intervals.



📊 Key Findings





27 % latency overhead (mean PSK = 283 ms → DSEKP = 360 ms)




10 % payload increase (HKDF metadata addition)




99.8 % reliability across sessions



🔄 Reproducibility





Rebuild environment using Docker (docker-compose.yml inside SERVER-SIDE).




Flash ESP32 sketches in CLIENT-SIDE.




Run experiments and compare outputs with provided MATLAB analysis scripts.



🔒 License

Creative Commons Attribution – NonCommercial 4.0 International (CC BY-NC 4.0)

This record is restricted for peer review. Upon publication, the dataset will be made public with the same DOI.
DOI: 10.7298/w5q0-1g13
title: Data and scripts from: Measuring the ferromagnetic resonance cone angle via static dipolar fields using diamond spins
DOI: 10.15468/dl.nah5zs
title: Occurrence Download

description: A dataset containing 214 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((26.71963 32.71945,40.48821 32.71945,40.48821 43.51593,26.71963 43.51593,26.71963 32.71945))",
 "Geometry POLYGON((25.59722 34.69169,45.36425 34.69169,45.36425 44.39393,25.59722 44.39393,25.59722 34.69169))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Veronica orientalis"
 ]
}

 The dataset includes 214 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010253-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17497200
title: Figure Data for The Composite Spectrum of QSO Absorption Line Systems in DESI DR2

description: Supplementary material to publication "The Composite Spectrum of QSO Absorption Line Systems in DESI DR2" to comply with the data management plan. This upload contains a set of .csv files containing the data points in figures. Each file contains a format description of the data contained within. Publication information will be updated when available.
DOI: 10.15468/dl.vrcr9e
title: Occurrence Download

description: A dataset containing 686 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-22.69133 27.51472,19.69133 27.51472,19.69133 44.48528,-22.69133 44.48528,-22.69133 27.51472))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Halogeton sativus"
 ]
}

 The dataset includes 686 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010255-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/j2dk-5z34
title: Parkes observations for project P1238 semester 2025OCTS_03

description: Young and energetic pulsars can power pulsar wind nebulae (PWNe), which are observable across the electromagnetic spectrum from radio to X-rays. Occasionally, the origin of a PWNe is connected to the parent supernova remnants (SNR). The exceptional sensitivity and high resolution of next-generation radio surveys conducted with ASKAP and MeerKAT make them particularly effective in discovering diffuse and low surface brightness objects in our Galaxy, such as PWNe and SNRs. We can then use these PWN and SNR associations to guide our targeted search for radio pulsars. This strategy has proven successful with our recent discoveries of two high-dispersion measure (DM) pulsars powering a bow-shocked PWNe. Building on this success, we continue our search and have selected the most promising and scientifically compelling candidates for detailed follow-up investigation. We propose to use the Parkes Ultra-Wideband Low (UWL) receiver to conduct a targeted search for three pulsar candidates. Given that the pulsar candidates are embedded in SNRs and/or PWNe, located near the Galactic Plane, and may be at large distances, we expect them to have high DMs. High DMs result in scattering and pulse broadening, making them difficult to detect in conventional low-frequency pulsar surveys. The wide frequency coverage of UWL, particularly its high-frequency band (3-4 GHz), presents a unique opportunity to mitigate these effects and significantly enhance the detectability of distant, highly dispersed pulsars.
DOI: 10.6084/m9.figshare.28521689
title: Experimental Data File: Fitness traits of Queensland fruit fly (Bactrocera tryoni) with different virus infections

description: The Experimental Data File contains data of five fitness traits of Queensland fruit fly (Bactrocera tryoni) lines with different virus infections (egg-to-pupa developmental time, pupal weight, adult emergence rate, flight ability and adult survival rate under stress after exposure of adults to three different temperatures), as well as survival of flies after injection and ingestion of a mixed virus suspension.
DOI: 10.6084/m9.figshare.28521689.v2
title: Experimental Data File: Fitness traits of Queensland fruit fly (Bactrocera tryoni) with different virus infections

description: The Experimental Data File contains data of five fitness traits of Queensland fruit fly (Bactrocera tryoni) lines with different virus infections (egg-to-pupa developmental time, pupal weight, adult emergence rate, flight ability and adult survival rate under stress after exposure of adults to three different temperatures), as well as survival of flies after injection and ingestion of a mixed virus suspension.
DOI: 10.6084/m9.figshare.28521689.v1
title: Fitness traits of Queensland fruit fly (Bactrocera tryoni) with and without iflavirus

description: The dataset contains data of five fitness traits of Queensland fruit fly (Bactrocera tryoni) lines with and without viruses (egg-to-pupa developmental time, pupal weight, adult emergence rate, flight ability and adult survival rate under stress after exposure of adults to three different temperatures), as well as survival of flies after injection and ingestion of virus suspension.
DOI: 10.15468/dl.cfm97m
title: Occurrence Download

description: A dataset containing 3920 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Triquetrella papillata"
 ]
}

 The dataset includes 3920 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010257-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ew4ybq
title: Occurrence Download

description: A dataset containing 172 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "Geometry POLYGON((-95.92838 -7.27817,-57.07162 -7.27817,-57.07162 8.27817,-95.92838 8.27817,-95.92838 -7.27817))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (90fd6680-349f-11d8-aa2d-b8a03c50a862, bc092ff0-02e4-11dc-991f-b8a03c50a862, 8e1a97a0-3ca8-11d9-8439-b8a03c50a862, 061b4f20-f241-11da-a328-b8a03c50a862, 33d232b5-5cc2-4521-8bd6-121c5bb41c32, 396d5f30-dea9-11db-8ab4-b8a03c50a862, 3c6ad080-bdbe-11da-ac59-b8a03c50a862, 5184e024-2899-4635-884b-c9d769e72cdd, e1f3033f-176a-4e5e-8b97-7f1f000fcc2a)",
 "TaxonKey is Diplostephium hartwegii"
 ]
}

 The dataset includes 172 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010259-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xr3jf6
title: Occurrence Download

description: A dataset containing 2263 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Atta cephalotes"
 ]
}

 The dataset includes 2263 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010258-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hxpjgj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Türkiye",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "ScientificName is Pinus nigra"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010260-251025141854904/datasets/export for details.
DOI: 10.25919/anqa-fz03
title: Parkes observations for project P1378 semester 2025OCTS_03

description: We propose to observe 2XMM J104608.7-594306 with the Murriyang UWL receiver. This is a known thermally X-ray emitting neutron star in the Carina Nebula, which was recently discovered to show remarkable bursts of coherent radio emission. This is the first of this class of neutron stars to be seen to emit radio pulses. The primary goal of this proposal is to search for more coherent radio bursts from this object, and study their morphology, spectral features and polarization properties. These aims will provide us with crucial insights into the common emission mechanism operating over a wide range of magnetic field strengths and neutron star ages, which will help to understand the physical link between the different classes of neutron stars and their evolutionary pathways.
DOI: 10.5281/zenodo.17496680
title: Rung 0 Dataset for Roman Strong Lens Data Challenge

description: Data Challenge Overview

The Roman Space Telescope is expected to observe O(10^5) galaxy-galaxy strong gravitational lenses, providing high angular resolution images of galaxy-galaxy strong gravitational lenses that can be used to probe the nature of dark matter at sub-galactic scales (Daylan and Birrer 2023, Wedig et al. 2025). The Roman Data Challenge for Dark Matter Substructure with Galaxy-Galaxy Strong Gravitational Lenses provides realistic simulated Roman images of strong lenses with various dark matter substructure populations and challenges the community to test out substructure detection and characterization pipelines.

Dataset Description

The goal of this rung is to serve as a tutorial for participants. You will familiarize yourself with the systematics of the challenge (e.g. where and how to submit, how to set up mejiro and obtain/generate datasets, where to find relevant documentation) and for us as the organizers to make sure that the data challenge runs smoothly. In this rung, you will train a regression model to determine the Einstein radius of lenses.

Changelog



v1.0: All systems have substructure added to mass model

v0.1: Initial version with 50/50 substructure/no substructure split
DOI: 10.5281/zenodo.17391542
title: Rung 0 Dataset for Roman Strong Lens Data Challenge

description: Data Challenge Overview

The Roman Space Telescope is expected to observe O(10^5) galaxy-galaxy strong gravitational lenses, providing high angular resolution images of galaxy-galaxy strong gravitational lenses that can be used to probe the nature of dark matter at sub-galactic scales (Daylan and Birrer 2023, Wedig et al. 2025). The Roman Data Challenge for Dark Matter Substructure with Galaxy-Galaxy Strong Gravitational Lenses provides realistic simulated Roman images of strong lenses with various dark matter substructure populations and challenges the community to test out substructure detection and characterization pipelines.

Dataset Description

The goal of this rung is to serve as a tutorial for participants. You will familiarize yourself with the systematics of the challenge (e.g. where and how to submit, how to set up mejiro and obtain/generate datasets, where to find relevant documentation) and for us as the organizers to make sure that the data challenge runs smoothly. In this rung, you will train a regression model to determine the Einstein radius of lenses.

Changelog



v1.0: All systems have substructure added to mass model

v0.1: Initial version with 50/50 substructure/no substructure split
DOI: 10.57761/w7yb-qt20
title: Historical Data on Haiti’s Debt

description: If you have questions or concerns, please contact Sarah Sussman at ssussman@stanford.edu.
description: The New York Times published a historical data set of payments Haiti made to France, collected as part of a project on Haiti’s “double debt.” This debt, which began in 1825, includes the indemnity that France demanded from Haiti to compensate former colonists and the loan that Haiti took out to start paying it. Relying on archival sources, the journalists tabulated how much money Haitians paid to the families of their former colonial overlords and to the French banks and investors who controlled the loan.
description: For a full description of how the journalists calculated the debt and estimated its long-term economic impact, see the project bibliography: [The Ransom: A Look Under the Hood](<https://www.nytimes.com/2022/05/20/world/americas/haiti-bibliography.html>). This document is also available as pdf attachment under ***Supporting Files***.
DOI: 10.25919/pcb7-qh28
title: Parkes observations for project P1165 semester 2025OCTS_02

description: We recently discovered two new pulsars J1849+1001 (35.1 ms) and J1839+0543 (57.9 ms) in a FAST pulsar survey at intermediate Galactic latitudes (PT2020_0141). Follow-up timing observations show that they are in circular orbits with massive companions. This suggests that PSR J1849+1001 and J1839+0543 can be classified as the intermediate-mass binary pulsar (IMBP). Their massive companions also make them promising systems to measure "Post-Keplerian" parameters through pulsar timing. These Parkes observations will be combined with regular timing observations with FAST or MeerKAT to measure "Post-Keplerian" parameters and then measure both neutron star and companion masses.
DOI: 10.15468/dl.v4nd89
title: Occurrence Download

description: A dataset containing 1634 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Conocarpus erectus"
 ]
}

 The dataset includes 1634 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010261-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17496508
title: Oat seed dataset (UPFA Ouro, UPFA Fuerza and UPFA Gaudéria)

description: Image dataset used in the creation of the AI/CV models for the SeedFlow system, classifying oat grains by cultivar and species (Avena sativa and Avena strigosa), considering cultivars patented by the University of Passo Fundo (UPFA Ouro, UPFA Fuerza, and UPFA Gaudéria).

Related publications that used this dataset:

* Masters Thesis (Portuguese):

PATRÍCIO, Diego Inácio. Seedflow: sistema de visão computacional para classificação de grãos de aveia. Orientador: Rafael Rieder. 2019. Dissertação (Mestrado em Computação Aplicada) – Instituto de Tecnologia, Universidade de Passo Fundo, Passo Fundo, 2019.

* Research Article (English):

PATRÍCIO, Diego Inácio et al. Oat grains classification using deep learning. Revista Brasileira de Computação Aplicada, v. 15, n. 1, p. 48-58, 2023. DOI: https://doi.org/10.5335/rbca.v15i1.13653

* Software Patent (INPI Brazil):

PATRICIO, Diego Inácio; RIEDER, Rafael. SeedFlow. 2019. Patente: Programa de Computador. Número do registro: BR512019000400-0, data de registro: 06/03/2019, título: "SeedFlow" , Instituição de registro: INPI - Instituto Nacional da Propriedade Industrial.
DOI: 10.5281/zenodo.17496509
title: Oat seed dataset (UPFA Ouro, UPFA Fuerza and UPFA Gaudéria)

description: Image dataset used in the creation of the AI/CV models for the SeedFlow system, classifying oat grains by cultivar and species (Avena sativa and Avena strigosa), considering cultivars patented by the University of Passo Fundo (UPFA Ouro, UPFA Fuerza, and UPFA Gaudéria).

Related publications that used this dataset:

* Masters Thesis (Portuguese):

PATRÍCIO, Diego Inácio. Seedflow: sistema de visão computacional para classificação de grãos de aveia. Orientador: Rafael Rieder. 2019. Dissertação (Mestrado em Computação Aplicada) – Instituto de Tecnologia, Universidade de Passo Fundo, Passo Fundo, 2019.

* Research Article (English):

PATRÍCIO, Diego Inácio et al. Oat grains classification using deep learning. Revista Brasileira de Computação Aplicada, v. 15, n. 1, p. 48-58, 2023. DOI: https://doi.org/10.5335/rbca.v15i1.13653

* Software Patent (INPI Brazil):

PATRICIO, Diego Inácio; RIEDER, Rafael. SeedFlow. 2019. Patente: Programa de Computador. Número do registro: BR512019000400-0, data de registro: 06/03/2019, título: "SeedFlow" , Instituição de registro: INPI - Instituto Nacional da Propriedade Industrial.
DOI: 10.6084/m9.figshare.28705466
title: Supplementary materials to "Herd management strategies for greenhouse gas emission mitigation in dairy production: A simulation study"

description: Supplementary materials to "Herd management strategies for greenhouse gas emission mitigation in dairy production: A simulation study"
DOI: 10.6084/m9.figshare.28705466.v4
title: Supplementary materials to "Herd management strategies for greenhouse gas emission mitigation in dairy production: A simulation study"

description: Supplementary materials to "Herd management strategies for greenhouse gas emission mitigation in dairy production: A simulation study"
DOI: 10.6084/m9.figshare.28705466.v3
title: Supplementary materials to "Herd management strategies for greenhouse gas emission mitigation: A simulation study in ten high-yielding Danish dairy herds"

description: Supplementary Tables to "Herd management strategies for enteric methane mitigation: A simulation study in real dairy herds".