cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/rkz-tj7-73s
title: Carex chordorrhiza L.f.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/833-m2h-hwe
title: Carex saxatilis L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/e9t-3lt-wgy
title: Salix pulchra Cham.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/kw2-l8y-82j
title: Vincetoxicum scandens Sommier & Levier

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/t61-dp3-fen
title: Dactylorhiza majalis (Rchb.) P.F.Hunt & Summerh.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/xtr-3lz-20b
title: Dactylorhiza majalis (Rchb.) P.F.Hunt & Summerh.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/am7-k0p-qgk
title: Dactylorhiza majalis (Rchb.) P.F.Hunt & Summerh.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/vsa-9wr-cfe
title: Dactylorhiza majalis (Rchb.) P.F.Hunt & Summerh.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/601-aj1-fh3
title: Dactylorhiza majalis (Rchb.) P.F.Hunt & Summerh.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/63a-42w-45d
title: Dactylorhiza majalis (Rchb.) P.F.Hunt & Summerh.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/l8d-40k-enz
title: Dactylorhiza majalis (Rchb.) P.F.Hunt & Summerh.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/x43-syq-35f
title: Dactylorhiza majalis (Rchb.) P.F.Hunt & Summerh.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.26023/mrh7-39b8-5f0n
title: TORUS_2022: Multi-Network Composite Highest Resolution Radiosonde Data. Version 1.0

description: High vertical resolution radiosonde data from research and operational sources during the Targeted Observation by Radars and UAS of Supercells 2022 (TORUS_2022) campaign converted into a common format (EOL Sounding Composite format which is a columnar ASCII format) are included in this dataset. This composite includes data from radiosondes from locations around the central United States. The radiosondes were released by NOAA/NSSL (three platforms) and NOAA/NWS (20 sites).
DOI: 10.5281/zenodo.17221862
title: The NASA Paper and Small Falcon Algebra Numerical Validation Dataset

description: The NASA Paper & Small Falcon Algebra – Reference Implementation and Validation Dataset (v3.1.0)

https://github.com/abba-01/nualgebra

This release provides the official reference implementation and numerical validation dataset for The NASA Paper & Small Falcon Algebra (Martin, 2025).It includes the complete Python source code, reproducible validation experiments, and example scripts demonstrating the properties of Nominal/Uncertainty (N/U) Algebra—a conservative, linear framework for propagating explicit uncertainty bounds.

What’s New in v3.1.0





Rewritten and verified Python module (nu_algebra.py) implementing all algebraic definitions from the 2025 NASA Paper revision:





Addition/Subtraction → (n₁ ± n₂, u₁ + u₂)




Multiplication → (n₁n₂, |n₁|u₂ + |n₂|u₁)




Scalar/Affine → (an + b, |a|u)




Catch → (0, |n| + u) Flip → (u, |n|) (Invariant M = |n| + u preserved)






Full worked examples from Section 7 reproduced in examples/basic_operations.py.




Regenerated validation data (70 000 + cases) confirming closure, associativity, and conservatism within machine precision.




Added cumulative and weighted-mean operators for statistical aggregation.




All prior datasets recomputed under deterministic RNG seed = 20250926 with absolute tolerance 1 × 10⁻⁹ and relative tolerance 1 × 10⁻¹².



Dataset Highlights





Addition (8 000 cases): N/U ≥ Gaussian RSS — median ratio ≈ 1.74




Products (30 000 cases): N/U ≥ First-order Gaussian — max ≈ √2 (1.414)




Interval Relations (30 000 cases): Half-width match ≤ 0.014 % relative error




Chain Multiplications (3–20 factors): Stable, no growth beyond interval bounds




Monte Carlo (24 distributions): Empirical σ never exceeds N/U uncertainty




Invariant Grid (54 points): M = |n| + u preserved exactly




Associativity (20 000 trials): Nominal and uncertainty parts agree within floating-point precision



All results are stored as CSV files with a machine-readable summary.json. The entire workflow is deterministic and reproducible under Python ≥ 3.9.

Citation



Martin, E. D. (2025). The NASA Paper & Small Falcon Algebra – Reference Implementation and Validation Dataset (v3.1.0). Zenodo. https://doi.org/10.5281/zenodo.17283314
DOI: 10.5281/zenodo.17283314
title: The NASA Paper and Small Falcon Algebra Numerical Validation Dataset

description: The NASA Paper & Small Falcon Algebra – Reference Implementation and Validation Dataset (v3.1.0)

https://github.com/abba-01/nualgebra

This release provides the official reference implementation and numerical validation dataset for The NASA Paper & Small Falcon Algebra (Martin, 2025).It includes the complete Python source code, reproducible validation experiments, and example scripts demonstrating the properties of Nominal/Uncertainty (N/U) Algebra—a conservative, linear framework for propagating explicit uncertainty bounds.

What’s New in v3.1.0





Rewritten and verified Python module (nu_algebra.py) implementing all algebraic definitions from the 2025 NASA Paper revision:





Addition/Subtraction → (n₁ ± n₂, u₁ + u₂)




Multiplication → (n₁n₂, |n₁|u₂ + |n₂|u₁)




Scalar/Affine → (an + b, |a|u)




Catch → (0, |n| + u) Flip → (u, |n|) (Invariant M = |n| + u preserved)






Full worked examples from Section 7 reproduced in examples/basic_operations.py.




Regenerated validation data (70 000 + cases) confirming closure, associativity, and conservatism within machine precision.




Added cumulative and weighted-mean operators for statistical aggregation.




All prior datasets recomputed under deterministic RNG seed = 20250926 with absolute tolerance 1 × 10⁻⁹ and relative tolerance 1 × 10⁻¹².



Dataset Highlights





Addition (8 000 cases): N/U ≥ Gaussian RSS — median ratio ≈ 1.74




Products (30 000 cases): N/U ≥ First-order Gaussian — max ≈ √2 (1.414)




Interval Relations (30 000 cases): Half-width match ≤ 0.014 % relative error




Chain Multiplications (3–20 factors): Stable, no growth beyond interval bounds




Monte Carlo (24 distributions): Empirical σ never exceeds N/U uncertainty




Invariant Grid (54 points): M = |n| + u preserved exactly




Associativity (20 000 trials): Nominal and uncertainty parts agree within floating-point precision



All results are stored as CSV files with a machine-readable summary.json. The entire workflow is deterministic and reproducible under Python ≥ 3.9.

Citation



Martin, E. D. (2025). The NASA Paper & Small Falcon Algebra – Reference Implementation and Validation Dataset (v3.1.0). Zenodo. https://doi.org/10.5281/zenodo.17283314
DOI: 10.26023/36np-cq64-s90v
title: TORUS_2022: Multi-Network 5mb Vertical Resolution Sounding Composite. Version 1.0

description: 5mb resolution radiosonde data from research and operational sources during the Targeted Observation by Radars and UAS of Supercells 2022 (TORUS_2022) campaign converted into a common format (EOL Sounding Composite format which is a columnar ASCII format) are included in this dataset. This composite includes data from radiosondes from locations around the central United States. The radiosondes were released by NOAA/NSSL (three platforms) and NOAA/NWS (17 sites).
DOI: 10.34740/kaggle/dsv/13286011
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.26023/vhd1-7pzs-3k0q
title: ACCLIP: KMA King Air Aircraft Observations. Version 1.0

description: Data from the Aircraft-Integrated Meteorological Measurement System (AIMMS-20) and Cavity Ring-Down Spectroscopy (CRDS) G2401 gas concentration analyzer that flew aboard the KMA King Air aircraft for five research flights during the ACCLIP campaign. The flights were over the Yellow Sea. AIMMS-20 provides measurements of temperature, relative humidity, barometric pressure, and location. The CRDS G2401 provides measurements of carbon dioxide, carbon monoxide, and methane.
DOI: 10.26023/jcj0-r535-880c
title: ESCAPE: SPEC Learjet Flight Videos. Version 1.0

description: Flight videos collected on board the SPEC Learjet during the Experiment of Sea Breeze Convection, Aerosols, Precipitation and Environment (ESCAPE) field campaign from 2 June through 17 June 2021. These videos are in AVI format.
DOI: 10.5281/zenodo.14732640
title: Data for "Revealing and modeling NMR relaxation processes in tissues: endometrial cancer tissue as an example"

description: Data for "Revealing and modeling NMR relaxation processes in tissues: endometrial cancer tissue as an example". 

Filename is made according to labels on figures.
DOI: 10.5281/zenodo.14732641
title: Data for "Revealing and modeling NMR relaxation processes in tissues: endometrial cancer tissue as an example"

description: Data for "Revealing and modeling NMR relaxation processes in tissues: endometrial cancer tissue as an example". 

Filename is made according to labels on figures.
DOI: 10.26023/yd8q-qyw9-ay0z
title: PRECIP: SEA-POL Radar Data. Version 1.0

description: Data from the Colorado State University (CSU) Sea-Going Polarimetric (SEA-POL) radar that was deployed on Yonaguni (a Japanese island to the east of Taiwan) for the PRECIP (Prediction of Rainfall Extremes Campaign in the Pacific) campaign from June to August 2022. SEA-POL is a deployable C-band dual-polarization radar that conducted RHI and surveillance scans on 12-minute cycles.
DOI: 10.26023/wzwx-fk9r-gz0f
title: University of Wyoming King Air (UWKA) Low-Rate Flight Level Data for TRANS2AM 2022 Phase. Version 1.0

description: Low Rate (1 Hz) flight level data from the University of Wyoming King Air aircraft during Phase 2 (August and September 2022) of the TRANS2AM campaign. The base of operations was the Laramie Airport (KLAR) in Laramie, Wyoming with most flights over northeastern Colorado. Includes navigation and state parameters as well as aerosol size data from the PCASP.
DOI: 10.17605/osf.io/cx5m8
title: The Use of Artificial Intelligence as a Clinical Simulation Tool in Nutrition Education: A Scoping Review

description: This scoping review aims to systematically map and characterize the use of artificial intelligence applied to clinical simulation and nutrition education. The review will identify the volume, nature, and characteristics of relevant studies published between 2000 and 2025 across key open-access databases. The study follows PRISMA-ScR guidelines, with clear inclusion and exclusion criteria, a structured search strategy, and systematic selection and data extraction methods. This protocol outlines the objectives, methods, and planned analysis, ensuring transparency and replicability in the synthesis of evidence on AI-driven clinical education tools.
DOI: 10.6084/m9.figshare.28728797.v1
title: Phylogenetic distribution of CAST regulators in bacterial tree of life and Type 1-F containing genomes.

description: Phylogenetic analysis
DOI: 10.6084/m9.figshare.28728797
title: Phylogenetic distribution of CAST regulators in bacterial tree of life and Type 1-F containing genomes.

description: Phylogenetic analysis
DOI: 10.6084/m9.figshare.28728773
title: Codes to reproduce the WGS analysis

description: Scripts to reproduce the WGS analysis for Song and Alker et al. 2025 paper.The scripts contain the information to clean the raw reads, map to references, classify them as cointegrates vs simple-inserts and identify the orientation.
DOI: 10.6084/m9.figshare.28728773.v1
title: Codes to reproduce the WGS analysis

description: Scripts to reproduce the WGS analysis for Song and Alker et al. 2025 paper.The scripts contain the information to clean the raw reads, map to references, classify them as cointegrates vs simple-inserts and identify the orientation.
DOI: 10.26023/9km1-pyad-y906
title: University of Wyoming King Air (UWKA) Mid-Rate Flight Level Data for TRANS2AM 2022 Phase. Version 1.0

description: Mid Rate (10 Hz) flight level data from the University of Wyoming King Air aircraft during Phase 2 (August and September 2022) of the TRANS2AM campaign. The base of operations was the Laramie Airport (KLAR) in Laramie, Wyoming with most flights over northeastern Colorado. Includes navigation and state parameters as well as aerosol size data from the PCASP.
DOI: 10.26023/nccq-n57v-cv0b
title: University of Wyoming King Air (UWKA) High-Rate Flight Level Data for TRANS2AM 2022 Phase. Version 1.0

description: High Rate (25 Hz) flight level data from the University of Wyoming King Air aircraft during Phase 2 (August and September 2022) of the TRANS2AM campaign. The base of operations was the Laramie Airport (KLAR) in Laramie, Wyoming with most flights over northeastern Colorado. Includes navigation and state parameters as well as aerosol size data from the PCASP.
DOI: 10.26023/3x09-kpns-t204
title: CONTRAST: High Rate (HRT - 25 sps) Navigation, State Parameter, and Microphysics Flight-Level Data. Version 1.0

description: This data set includes airborne measurements obtained from the NSF/NCAR HIAPER GV aircraft (Tail Number N677F) during the CONTRAST project. This dataset contains high rate navigation, state parameter, and microphysics flight-level data in netCDF format.
DOI: 10.5281/zenodo.17283531
title: SARS-CoV-2 Infektionen in Deutschland

description: Im Datensatz "SARS-CoV-2 Infektionen in Deutschland" des Robert Koch-Instituts werden die Daten basierend auf Meldungen zu SARS-CoV-2 Infektionen nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Darin enthalten sind Informationen auf Landkreisebene zu bestätigten Infektionen, Todesfällen und Genesungen, differenziert nach Altersgruppen und Geschlecht. Diese Daten dienen als Grundlage für epidemiologische Bewertungen und gesundheitspolitische Maßnahmen.
DOI: 10.26023/exks-ah30-bg0z
title: WINTRE-MIX: Sorel, QC Vaisala Forward Scatter Sensor FD71P Data. Version 0.1

description: This dataset contains the raw data from the Vaisala Forward Scatter Sensor (FD71P) sited at Sorel-Tracy, QC for the Winter Precipitation Type Research Mult-Scale Experiment (WINTRE-MIX). Data was collected between October 20, 2021 and May 03, 2022. The FD71P utilizes forward scattering of a thin light sheet to detect particle sizes and fall speeds and deduce precipitation types, accumulations, and visibility. Sorel-Tracy is located at the northern end of the Champlain Valley, on the southern shore of the St. Lawrence River northeast of Montreal. The site was in a small park to the east of the Richelieu River. Several other instruments were also stationed at the site and will be available from the WINTRE-MIX data archive.
DOI: 10.5281/zenodo.17283594
title: discrete_gestures - BIDS-EMG Dataset

description: Discrete Gestures: sEMG dataset for hand gesture recognition
DOI: 10.26023/2atq-ppkd-d80w
title: WINTRE-MIX: Sorel, QC OTT Parsivel2 Disdrometer Data. Version 0.1

description: This dataset contains the raw data from the OTT Parsivel2 laser disdrometer sited at Sorel-Tracy, QC for the Winter Precipitation Type Research Mult-Scale Experiment (WINTRE-MIX). Data was collected between October 20, 2021 and May 03, 2022. The Parsivel utilizes a horizontal beam of light to detect particle sizes and fall speeds and deduce precipitation types, accumulations and visibility. Sorel-Tracy is located at the northern end of the Champlain Valley, on the southern shore of the St. Lawrence River northeast of Montreal. The site was in a small park to the east of the Richelieu River. Several other instruments were also stationed at the site and will be available from the WINTRE-MIX data archive.
DOI: 10.34740/kaggle/dsv/13286273
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.17283625
title: COVID-19-Hospitalisierungen in Deutschland

description: Im Datensatz "COVID-19-Hospitalisierungen in Deutschland" des Robert Koch-Institutswerden täglich aktualisierte Informationen zu Hospitalisierungen im Zusammenhang mit COVID-19 basierend auf den Meldungen nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Neben tagesaktuellen Fallzahlen und Inzidenzen auf Bundes- und Länderebene enthält der Datensatz auch modellgestützte Schätzungen verzögert gemeldeter Hospitalisierungen mittels Nowcasting. Ziel ist es, die tatsächliche Belastung des Gesundheitssystems durch COVID-19 besser abzubilden, insbesondere durch die Berechnung adjustierter 7-Tage-Hospitalisierungsinzidenzen.
DOI: 10.26023/vcxf-80fs-160v
title: WINTRE-MIX: Sorel, QC OTT Pluvio2 Precipitation Gauge Data. Version 0.1

description: This dataset contains the raw data from the OTT Pluvio2 precipitation gauge sited at Sorel-Tracy, QC for the Winter Precipitation Type Research Mult-Scale Experiment (WINTRE-MIX). Data was collected between October 20, 2021 and May 03, 2022. The Pluvio2 is a meteorological instrument that is used for automatic determination of the intensity and amount of precipitation. Sorel-Tracy is located at the northern end of the Champlain Valley, on the southern shore of the St. Lawrence River northeast of Montreal. The site was in a small park to the east of the Richelieu River. Several other instruments were also stationed at the site and will be available from the WINTRE-MIX data archive.
DOI: 10.5281/zenodo.16881449
title: Data for "1H NMR relaxation processes in lung tissues at low magnetic fields"

description: Data for "1H NMR relaxation processes in lung tissues at low magnetic fields"

Filename is made according to labels on figures.
DOI: 10.5281/zenodo.16881450
title: Data for "1H NMR relaxation processes in lung tissues at low magnetic fields"

description: Data for "1H NMR relaxation processes in lung tissues at low magnetic fields"

Filename is made according to labels on figures.
DOI: 10.26023/b1af-9by2-3z0d
title: WINTRE-MIX: Sorel, QC Vaisala Weather Transmitter WXT520 Data. Version 0.1

description: This dataset contains the raw data from the Vaisala WXT520 weather sensor sited at Sorel-Tracy, QC for the Winter Precipitation Type Research Mult-Scale Experiment (WINTRE-MIX). Data was collected between October 20, 2021 and May 03, 2022. The WXT520 measures wind speed and direction, precipitation, atmospheric pressure, temperature and relative humidity. Sorel-Tracy is located at the northern end of the Champlain Valley, on the southern shore of the St. Lawrence River northeast of Montreal. The site was in a small park to the east of the Richelieu River. Several other instruments were also stationed at the site and will be available from the WINTRE-MIX data archive.
DOI: 10.6084/m9.figshare.30293252
title: Experimental Investigation of Smoldering Characteristics in Anthracite Coal and Principal Influencing Factors Using Response Surface Methodology

description: Coal smoldering constitutes a critical safety challenge impeding sustainable development within the global coal sector. This investigation utilizes response surface methodology (RSM) to systematically evaluate critical parameters governing anthracite coal smoldering behavior, specifically analyzing particle size distribution (100–10 mesh), ventilation rate (15.0–25.0 L/min), and moisture content (1–17%). By integrating the entropy method, the study quantifies the contribution of key parameters-smoldering temperature, propagation rate, and activation energy-in the smoldering process, ultimately calculating a comprehensive smoldering hazard index. Experimental results demonstrate that ventilation rate exerts the strongest influence on smoldering temperature, followed by particle size distribution and moisture concentration, based on standardized regression coefficients. Particle coarsening (100–10 mesh) and moisture augmentation (1–17%) elevate activation energy by 9.91–17.63%, while concurrently reducing peak temperature (9.48–10.35%), smoldering propagation rate (30.25–37.37%), and hazard index (62.55–82.16%). Notably, both extremely high and low ventilation rates reduce smoldering temperature, propagation rate, and hazard index. The critical combination of fine particulates (80–100 mesh), moderate ventilation (22.0 L/min), and minimal moisture (1%) yields maximum smoldering propensity, indicating heightened smoldering hazard index. This research provides a theoretical foundation for enhancing fire prevention, reducing energy losses and promoting sustainable coal resource management.
DOI: 10.6084/m9.figshare.30293252.v1
title: Experimental Investigation of Smoldering Characteristics in Anthracite Coal and Principal Influencing Factors Using Response Surface Methodology

description: Coal smoldering constitutes a critical safety challenge impeding sustainable development within the global coal sector. This investigation utilizes response surface methodology (RSM) to systematically evaluate critical parameters governing anthracite coal smoldering behavior, specifically analyzing particle size distribution (100–10 mesh), ventilation rate (15.0–25.0 L/min), and moisture content (1–17%). By integrating the entropy method, the study quantifies the contribution of key parameters-smoldering temperature, propagation rate, and activation energy-in the smoldering process, ultimately calculating a comprehensive smoldering hazard index. Experimental results demonstrate that ventilation rate exerts the strongest influence on smoldering temperature, followed by particle size distribution and moisture concentration, based on standardized regression coefficients. Particle coarsening (100–10 mesh) and moisture augmentation (1–17%) elevate activation energy by 9.91–17.63%, while concurrently reducing peak temperature (9.48–10.35%), smoldering propagation rate (30.25–37.37%), and hazard index (62.55–82.16%). Notably, both extremely high and low ventilation rates reduce smoldering temperature, propagation rate, and hazard index. The critical combination of fine particulates (80–100 mesh), moderate ventilation (22.0 L/min), and minimal moisture (1%) yields maximum smoldering propensity, indicating heightened smoldering hazard index. This research provides a theoretical foundation for enhancing fire prevention, reducing energy losses and promoting sustainable coal resource management.
DOI: 10.6084/m9.figshare.30200377
title: An aperiodic inspection and replacement policy based on the delay-time model with component-lifetime heterogeneity

description: Inspection of ageing systems is important in practice, and many models have been developed to study inspection policies. However, the state-of-art still imposes strong assumptions. In this paper, we relax the assumption of periodic inspections in the framework of an inspection and age replacement policy for a system with three states: good, defective and failed. The three-state system characterizes the delay-time model. We compare our proposed model (aperiodic inspections) with the industry standard model (periodic inspections) under two different scenarios, i.e. perfect and imperfect inspections, using a numerical example and the cost-rate in a renewal-reward formulation. The results demonstrate savings of up to 6.4% in total maintenance costs, highlighting the importance of flexibility in inspections. This flexibility is particularly useful for accommodating heterogeneity of component lifetimes specially in mixed populations of “weak” and “strong” components. Furthermore, the cost-rate can increase by up to 15% when inspection errors are ignored. These errors have significant impacts as they can result in renewing the component at inappropriate times or missing the opportunity to do so. Also, the impact of defective costs becomes more pronounced when inspection errors are not taken into account.