cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/97ygd8zbjn.1
title: # Dynamic Power Analysis Resilience via Adaptive Noise Injection and Multi-Model Ensemble Learning

description: Dynamic Power Analysis Resilience via Adaptive Noise Injection and Multi-Model Ensemble Learning

This research presents ANIME (Adaptive Noise Injection & Multi-Model Ensemble), a novel defense framework to counter Dynamic Power Analysis (DPA) attacks on embedded systems. DPA exploits variations in power consumption to extract cryptographic keys, and traditional static countermeasures often fail against adaptive attackers. ANIME introduces a dynamic, intelligent, and responsive approach that integrates:

Real-time Power Monitoring – High-resolution sampling detects potential attack signatures during cryptographic operations. Sampling rate scales with algorithmic complexity.

Adaptive Noise Injection Controller – Uses reinforcement learning (RL) with a Deep Q-Network to adjust noise parameters in real-time. Noise is shaped to mask power traces effectively while minimizing performance loss, following:
N(t) = α(t) × G(P(t) − μ(t))

Multi-Model Ensemble Predictor – Combines Random Forest, SVM, and CNN models trained on diverse power data. Weights are optimized dynamically via Bayesian methods to maximize DPA detection robustness.

Methodology & Experiments:
Tests were conducted on an ARM Cortex-M4 running AES encryption. One million power traces were collected to train and evaluate the system. Baselines used traditional hiding countermeasures. ANIME was challenged with various DPA scenarios, including higher-order correlation attacks.

Results:

DPA attack success rate reduced from 60% (traditional hiding) to 5%.

Performance overhead kept below 5% (vs. 10% for static hiding).

Power variance increase limited to 2%.

Demonstrated 3× improvement in resilience over static approaches.

Advantages:

Real-time adaptability frustrates evolving attacker strategies.

Ensemble learning mitigates weaknesses of individual models.

RL-driven optimization balances security with efficiency.

Future Directions:
Hardware acceleration for faster noise processing, adaptive model selection based on threat context, formal verification integration, and federated learning for collaborative DPA defense without data sharing.

Impact:
ANIME represents a significant advancement in embedded system security, offering a scalable, low-overhead, and adaptive safeguard for critical applications like payment systems, IoT devices, and secure communications. By combining adaptive noise shaping, ensemble intelligence, and RL-driven control, it sets a new benchmark for DPA resilience in modern embedded environments.

This document is a part of the Freederia Research Archive. Explore our complete collection of advanced research at [en.freederia.com](https://en.freederia.com), or visit our main portal at [freederia.com](https://freederia.com) to learn more about our mission and other initiatives.
DOI: 10.3535/22a-2l4-jf1
title: Rossia bullisi G. L. Voss, 1956

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/95g-nda-ygy
title: Spondylidae Gray, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pa8-5yn-7n4
title: Tellina lata Gmelin, 1791

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5eh-dbc-73a
title: Mauritia maculifera maculifera F. A. Schilder, 1932

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8wf-q9q-7xd
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/af0-thy-h28
title: Talostolida teres (Gmelin, 1791)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/az7-dkn-k4x
title: Pupilla muscorum (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17632/nyf289g53j
title: Quantum Gate Optimization via Reinforcement Learning with HyperScore-Guided Exploration in Trapped-Ion Systems

description: Quantum Gate Optimization via Reinforcement Learning with HyperScore-Guided Exploration in Trapped-Ion Systems

This work introduces a Reinforcement Learning (RL)–HyperScore framework for optimizing quantum gate control pulses in trapped-ion systems. Gate fidelity—the accuracy with which a quantum gate performs its intended operation—is central to fault-tolerant quantum computing, yet current optimization methods (e.g., gradient descent) often stall in high-dimensional spaces and are sensitive to noise.

Approach:
The method combines a hierarchical RL agent—with a meta-controller adjusting coarse parameters (pulse duration, amplitude) and a low-level controller refining pulse shapes—with a HyperScore function that guides exploration. The HyperScore integrates three metrics:

Gate fidelity (0–1)

Robustness to noise (fidelity preservation under simulated noise)

Pulse energy efficiency

Weights for these metrics are learned via Bayesian optimization, adapting to current conditions. The HyperScore is computed as:
HS = 100 × [1 + (σ(β·ln(V) + γ))^κ],
where β (sensitivity), γ (bias), and κ (power exponent) are dynamically tuned. This score shapes the RL agent’s Boltzmann exploration distribution, focusing search in high-potential parameter regions.

Simulation Environment:
An 89-level model of a ^171Yb^+ ion in a linear Paul trap was used, including realistic noise sources—spontaneous emission, magnetic field fluctuations, and laser frequency drift. 10,000 candidate control pulses were evaluated, each scored on fidelity, robustness, and efficiency.

Results:
For the Mølmer–Sørensen gate, the framework improved average fidelity by 15% over gradient descent (99.8% vs. 98.5%) and boosted robustness (98.5% vs. 95%). Energy efficiency improved by ~8% through elimination of unnecessary pulse components.

Advantages:

Dynamically balances exploration and exploitation

Adapts to environmental noise

Scalable to larger systems via hierarchical control

Future Work:
Extending to multi-qubit gates, hardware-in-the-loop integration, and meta-learning of the HyperScore function.

Impact:
By combining adaptive RL with HyperScore-guided exploration, this framework overcomes common pitfalls of static optimization, offering a scalable, noise-resilient pathway toward high-fidelity trapped-ion quantum computing.

This document is a part of the Freederia Research Archive. Explore our complete collection of advanced research at [en.freederia.com](https://en.freederia.com), or visit our main portal at [freederia.com](https://freederia.com) to learn more about our mission and other initiatives.
DOI: 10.3535/dd5-7sp-c3f
title: Gregariella petagnae (Scacchi, 1832)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vmf-0m3-2m0
title: Lucilla singleyana (Pilsbry, 1889)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zgb-8p3-2sd
title: Musculus costulatus (Risso, 1826)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17632/nyf289g53j.1
title: Quantum Gate Optimization via Reinforcement Learning with HyperScore-Guided Exploration in Trapped-Ion Systems

description: Quantum Gate Optimization via Reinforcement Learning with HyperScore-Guided Exploration in Trapped-Ion Systems

This work introduces a Reinforcement Learning (RL)–HyperScore framework for optimizing quantum gate control pulses in trapped-ion systems. Gate fidelity—the accuracy with which a quantum gate performs its intended operation—is central to fault-tolerant quantum computing, yet current optimization methods (e.g., gradient descent) often stall in high-dimensional spaces and are sensitive to noise.

Approach:
The method combines a hierarchical RL agent—with a meta-controller adjusting coarse parameters (pulse duration, amplitude) and a low-level controller refining pulse shapes—with a HyperScore function that guides exploration. The HyperScore integrates three metrics:

Gate fidelity (0–1)

Robustness to noise (fidelity preservation under simulated noise)

Pulse energy efficiency

Weights for these metrics are learned via Bayesian optimization, adapting to current conditions. The HyperScore is computed as:
HS = 100 × [1 + (σ(β·ln(V) + γ))^κ],
where β (sensitivity), γ (bias), and κ (power exponent) are dynamically tuned. This score shapes the RL agent’s Boltzmann exploration distribution, focusing search in high-potential parameter regions.

Simulation Environment:
An 89-level model of a ^171Yb^+ ion in a linear Paul trap was used, including realistic noise sources—spontaneous emission, magnetic field fluctuations, and laser frequency drift. 10,000 candidate control pulses were evaluated, each scored on fidelity, robustness, and efficiency.

Results:
For the Mølmer–Sørensen gate, the framework improved average fidelity by 15% over gradient descent (99.8% vs. 98.5%) and boosted robustness (98.5% vs. 95%). Energy efficiency improved by ~8% through elimination of unnecessary pulse components.

Advantages:

Dynamically balances exploration and exploitation

Adapts to environmental noise

Scalable to larger systems via hierarchical control

Future Work:
Extending to multi-qubit gates, hardware-in-the-loop integration, and meta-learning of the HyperScore function.

Impact:
By combining adaptive RL with HyperScore-guided exploration, this framework overcomes common pitfalls of static optimization, offering a scalable, noise-resilient pathway toward high-fidelity trapped-ion quantum computing.

This document is a part of the Freederia Research Archive. Explore our complete collection of advanced research at [en.freederia.com](https://en.freederia.com), or visit our main portal at [freederia.com](https://freederia.com) to learn more about our mission and other initiatives.
DOI: 10.3535/ckx-1g0-ctg
title: Succinella oblonga (Draparnaud, 1801)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wm5-qgn-nzl
title: Vallonia costata (O. F. Müller, 1774)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/elg-tnr-vkm
title: Notocypraea declivis (G. B. Sowerby II, 1870)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/x5h-z88-7sz
title: Arinia H. Adams & A. Adams, 1856

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jr3-esz-9zd
title: Obelia dichotoma (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mz8-nz8-r7v
title: Lepidochitona cinerea (Linnaeus, 1767)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4qt-aj9-brv
title: Lunarca ovalis (Bruguière, 1789)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/sma-eey-qsz
title: Acanthopleura granulata (Gmelin, 1791)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/e7a-7lt-amy
title: Anatoma finlayi (A. W. B. Powell, 1937)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qt4-f01-ld1
title: Striarca lactea (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/r5d-qps-rng
title: Japonia A. Gould, 1859

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.ss7jgy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Actenoides excelsus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000348-250811113504898/datasets/export for details.
DOI: 10.3535/60d-x8p-chw
title: Marsupina bufo (Bruguière, 1792)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hpl-cc1-gjg
title: Lembulus pella (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3s0-40q-8qs
title: Conomurex luhuanus (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/m5b-tj5-2kx
title: Drymaeus poecilus (A. d'Orbigny, 1835)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cpm-ag7-cr8
title: Oxychilus alliarius (J. S. Miller, 1822)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/eel-lyt-ytv
title: Cornu aspersum (O. F. Müller, 1774)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lzt-sb2-6bw
title: Nucula nucleus (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/p05-dnr-xwy
title: Vertigo pusilla O. F. Müller, 1774

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xbr-qwq-7ba
title: Hygromiidae Tryon, 1866

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/92h-pg9-0nv
title: Vertigo angustior Jeffreys, 1830

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/94v-zbn-eme
title: Backeljaia gigaxii (L. Pfeiffer, 1847)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/abg-gq7-4y4
title: Chama gryphoides Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ll4-cj1-pdz
title: Lepidochitona canariensis (Thiele, 1909)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/aql-8r2-3z9
title: Cyathopoma meredithae (van Bruggen, 1983)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fc7-fjc-w57
title: Oxychilus cellarius (O. F. Müller, 1774)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vh6-vyw-fnw
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cyh-060-sxf
title: Eudendrium racemosum (Cavolini, 1785)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/j4n-6tc-y7q
title: Hemiplecta humphreysiana (I. Lea, 1840)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fev-rdw-l3q
title: Acanthinula aculeata (O. F. Müller, 1774)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vb9-n6m-w2d
title: Vitrina pellucida (O. F. Müller, 1774)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/r4h-1v0-crk
title: Chondrina avenacea avenacea (Bruguière, 1792)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/sz2-ngp-8vp
title: Bithynia tentaculata (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/eaj-ygs-c6v
title: Bimeria vestita Wright, 1859

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vsv-jjt-cq9
title: Chondrina farinesii (Des Moulins, 1835)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kb0-8g2-4ka
title: Lima lima (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17632/tpbrpwvvgj
title: Zircon U-Pb，(U-Th)/He (ZHe) and Apatite fission track (AFT), (U-Th)/He (AHe) ages of samples from the Beishan

description: The document includes all zircon U-Pb ages, zircon U/Th-He ages, apatite fission track ages, and U/Th-He ages from the Beishan samples tested in this study.
DOI: 10.3535/1e9-jbt-nhg
title: Naviculavolva kurziana (C. N. Cate, 1976)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/s0q-et7-w0l
title: Trachycardium isocardia (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6mb-23g-vwq
title: Ledella pustulosa (Jeffreys, 1876)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zzj-zrt-pgv
title: Epifungium adgravis Gittenberger & Gittenberger, 2005

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17632/tpbrpwvvgj.1
title: Zircon U-Pb，(U-Th)/He (ZHe) and Apatite fission track (AFT), (U-Th)/He (AHe) ages of samples from the Beishan

description: The document includes all zircon U-Pb ages, zircon U/Th-He ages, apatite fission track ages, and U/Th-He ages from the Beishan samples tested in this study.
DOI: 10.3535/hwh-2an-27j
title: Caracollina lenticula (Michaud, 1831)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kgk-ecs-3my
title: Modiolus barbatus (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mbp-fjc-bk9
title: Myxas glutinosa (O. F. Müller, 1774)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2rk-kge-cxm
title: Conus jaspideus Gmelin, 1791

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pd5-ll9-e3p
title: Eudendrium Ehrenberg, 1834

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nnc-8t6-rsj
title: Anomalodiscus squamosus (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/w3v-bvs-rq9
title: Perpolita hammonis (Strøm, 1765)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/57l-89l-0f0
title: Turritella exoleta (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dr4-trg-gks
title: Zygophylax parabiarmata Vervoort, 2006

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pwd-xj9-8d3
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5ha-scf-tkz
title: Halecium delicatulum Coughtrey, 1876

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7wp-mpd-6cl
title: Tetrarca tetragona (Poli, 1795)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1nz-c0h-gqy
title: Acanthopleura gemmata (Blainville, 1825)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1rl-lxq-hql
title: Halecium bermudense Congdon, 1907

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/shv-dnj-bkh
title: Zafrona isomella (Duclos, 1840)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/svr-1sj-tcv
title: Bathothauma lyromma Chun, 1906

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bkv-kgc-pw7
title: Sepiola tridens de Heij & Goud, 2010

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ftg-gwx-jcc
title: Acteocina J. E. Gray, 1847

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bm7-24e-2dl
title: Protatlanta souleyeti (E. A. Smith, 1888)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pg6-ypw-0at
title: Punctum pygmaeum (Draparnaud, 1801)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bgm-153-nnl
title: Oswaldella rigida Peña Cantero, Svoboda & Vervoort, 1997

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lvc-67e-qyg
title: Subulona involuta (A. Gould, 1843)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dh9-p91-05y
title: Littorina saxatilis (Olivi, 1792)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hmy-71g-4xa
title: Oxychilus cyprius (L. Pfeiffer, 1847)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yhr-5y8-dsz
title: Arcidae Lamarck, 1809

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17632/8ry5w5h9rb
title: Supporting Dataset for 'Assessing the Net Benefit of Core Insurance System in Private Life Insurance Company based on the updated of Delone and McLean information systems success model'

description: This dataset supports a research study that analyzes the factors influencing the successful implementation of the Core Insurance System at XYZ Life Insurance Company using the DeLone and McLean Information Systems Success Model. The dataset contains responses from 270 participants collected via Google Forms. Each participant completed an online survey consisting of structured statements representing each research variable, measured using a five point Likert scale.
DOI: 10.3535/02t-fsb-wja
title: Polyplumaria flabellata Sars, 1874

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/06t-r4b-4kg
title: Obelia bidentata Clark, 1875

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fy2-w77-852
title: Vertigo angustior Jeffreys, 1830

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rt3-1cd-v6k
title: Curvella Chaper, 1885

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17632/8ry5w5h9rb.1
title: Supporting Dataset for 'Assessing the Net Benefit of Core Insurance System in Private Life Insurance Company based on the updated of Delone and McLean information systems success model'

description: This dataset supports a research study that analyzes the factors influencing the successful implementation of the Core Insurance System at XYZ Life Insurance Company using the DeLone and McLean Information Systems Success Model. The dataset contains responses from 270 participants collected via Google Forms. Each participant completed an online survey consisting of structured statements representing each research variable, measured using a five point Likert scale.
DOI: 10.3535/f4v-l9t-xwz
title: Leptoconchus ingranulosa A. Gittenberger & E. Gittenberger, 2011

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bzm-7vx-mn9
title: Vertigo angustior Jeffreys, 1830

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.