cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/3yl-jwx-hwj
title: Anguispira kochi (L. Pfeiffer, 1846)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/12e-z78-l1b
title: Albinaria grisea grisea (Deshayes, 1835)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/j6t-26s-sh9
title: Theba subdentata helicella (W. Wood, 1828)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5281/zenodo.15590800
title: Asymmetric Self-Consistency Hypothesis: AI-Assisted Verification and Reproducible Research Dataset

description: Abstract:This dataset, curated by independent researcher PSBigBig, consolidates all materials required for end-to-end reproduction and AI-assisted verification of the Asymmetric Self-Consistency Hypothesis. The central objective is to demonstrate that, once a theoretical framework T is independently confirmed as logically self-consistent by multiple formal proof systems (including Lean 4.0, Coq 8.14, and GPT-based validation scripts), any discrepancy between experimental measurements and T’s predictions must stem from limitations in the measurement apparatus or from underlying axioms—rather than from logical flaws in T itself.

Included within this dataset are:





Formal Proof Artifacts:





Lean scripts (proofs/Proofs.lean, proofs/AdjustedProof.lean) complete with dependency manifests.




Coq files (proofs/Proofs.v, proofs/AdjustedProof.v) and associated tactic guides.




A GPT validation report (proofs/gptreport.json) generated via automated consistency checks.






CI/CD Configuration:





GitHub Actions workflow (.github/workflows/proof.yml) orchestrating cross-platform proof compilation, automated theorem checking, and environment setup.




A Dockerfile ensuring a reproducible Ubuntu 22.04 environment preinstalled with Lean, Coq, and Python dependencies.






High-Energy Physics Simulation Data:





Delphes simulations for resonance cross-section predictions (σₜ(s)) at HL-LHC (300 fb⁻¹) and FCC-hh (20 ab⁻¹) energies.




Systematic uncertainty breakdowns (ISR/FSR, pile-up, detector noise, etc.) and a tabulated “self-consistency check” of predicted versus excluded resonance regions (95 % CL) using CMS 2025 preprint data.






Non-Perturbative Validation and Tuning Examples:





Lattice-based non-perturbative checks, 2PI diagrams, and numerical routines with accompanying uncertainty estimates.




A documented fine-tuning scenario illustrating the addition of a tiny Lorentz-violation term (δL = ε ψ̄ γ⁰ ∂₀ ψ, ε ≈ 10⁻²⁰) and its impact on two-loop β-function corrections (δβ ≲ 10⁻¹⁰).





All source code, scripts, raw log files, and SHA-256 checksums are provided to guarantee bitwise reproducibility. Users should begin by launching the Docker container, executing the formal proofs, and cross-referencing simulation outputs against published CMS exclusion curves. This dataset equips theorists, experimentalists, and software engineers alike to rigorously validate the Asymmetric Self-Consistency Hypothesis, fostering transparent, falsifiable research practices.

Contact Information (English):





Name: PSBigBig




Affiliation: Independent Researcher / Developer




Email: hello@onestardao.com




Website: https://onestardao.com
DOI: 10.3535/dga-c1a-y8p
title: Cepaea nemoralis (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vh2-hwz-kmk
title: Aegopinella nitens (Michaud, 1831)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5281/zenodo.15589715
title: Semantic Relativity Theory – Simulation Code and Figures (v0.95 Beta)

description: This Zenodo record contains all files necessary to reproduce the AI-based simulation results presented in the paper “Semantic Relativity Theory: An Information-Geometric Extension to Cognitive Gravity and Advertising Optimization” (v0.95 Beta). Included are:





Python simulation script (simulation.py), which generates synthetic semantic scores for 200,000 virtual users, calculates click‐through‐rate uplift according to the semantic curvature model, and produces three PNG figures (ctr_comparison.png, uplift_histogram_sim.png, uplift_convergence.png) illustrating observed CTR differences and convergence behavior.




Generated image files (ctr_comparison.png, uplift_histogram_sim.png, uplift_convergence.png), directly reproduced by running simulation.py.




SHA256 checksum files (simulation.py.sha256, ctr_comparison.png.sha256, uplift_histogram_sim.png.sha256, uplift_convergence.png.sha256) for verifying file integrity.




Environment requirements: Python 3.9+, with NumPy 1.23.5, SciPy 1.9.3, and Matplotlib 3.7.1.



Instructions for installation, execution, and checksum verification are provided in README.md. Researchers can download all files, confirm checksums via sha256sum -c <filename>.sha256, install the specified Python dependencies, and run python simulation.py to reproduce the exact figures and statistics reported in the publication.

Contact InformationPSBigBigIndependent DeveloperPapers: https://onestardao.com/papersEmail: hello@onestardao.com
DOI: 10.3535/8as-tcs-9v5
title: Ampelita H. Beck, 1837

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1b0-cx5-cc7
title: Trachycystis Pilsbry, 1893

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4hr-kz4-7dr
title: Trochulus hispidus (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5281/zenodo.15621097
title: Trinity-of-Light Dataset: Supporting Materials for "Seeing Photons' Autobiographies" Light Paper

description: This dataset accompanies the light paper "Seeing Photons' Autobiographies — The Trinity-of-Light Hypothesis", authored by PSBigBig (Independent Researcher, 2025).

 

It provides the key resources required to reproduce the visibility decay simulation presented in Figure 2, supporting the conceptual framework of photonic collapse based on semantic information load.

 

Included Files:

- `figure2_visibility_decay.png`: Output image demonstrating exponential decay of visibility.

- `simulate_visibility.py`: Python script to generate the visibility decay plot.

- `trinity_of_light_lightpaper.tex`: Original LaTeX source of the paper.

- `README.md`: Instructions for running the simulation and verifying SHA256 checksums.

 

SHA256 checksums for all files are included in both this dataset and the paper’s Appendix C for verification.

 

DOI of the paper: https://doi.org/10.5281/zenodo.15621098  

 

Author Contact: hello@onestardao.com

All Papers: https://onestardao.com/papers

 

This dataset supports open science and reproducibility efforts.
DOI: 10.5281/zenodo.15629834
title: WFGY 1.0 Dataset: A Self-Healing Semantic Framework for Large Language Models

description: Description

This dataset contains all supporting files required to reproduce the experiments described in the paper “WFGY 1.0: A Universal Unification Framework for Large-Scale Self-Healing LLMs”.It includes configuration files, code modules, manifest documents, evaluation scripts, and dependency setup for the four core modules of the WFGY framework:





BBMC (Semantic Residue Calibration)




BBPF (Multi-Path Progression)




BBCR (Collapse–Rebirth Mechanism)




BBAM (Attention Modulation)



The dataset enables full reproducibility of the benchmark results across semantic accuracy, reasoning success, long-horizon stability, and cross-modal tasks.

Keywords

large language models, semantic alignment, multi-step reasoning, self-healing, BBMC, BBPF, BBCR, BBAM, reproducibility, AI architecture, WFGY

PSBigBig (Independent Developer and Researcher)  📧 hello@onestardao.com  🌐 https://onestardao.com/papers  💻 https://github.com/onestardao/WFGY
DOI: 10.5281/zenodo.15657016
title: Prompt Revolution: WFGY Prompt Toolkit PDF for Awakening Your AI

description: Suggested Zenodo Abstract (English only)

This record provides the WFGY Prompt Toolkit PDF (v1.0) by PSBigBig, enabling instant activation of the WFGY self-healing framework in any large language model through ready-to-use “Answer using WFGY” templates. Hosted permanently on Zenodo, it guides users to download the prompt PDF, feed it into their AI, and enable “Deep Structure Analysis Mode” for improved semantic accuracy, reasoning success, and stability. Future versions will include multilingual prompt support.

Author: PS BigBigEmail: hello@onestardao.comAll papers: https://onestardao.com/papersGitHub: Star Reminder → https://github.com/onestardao/WFGY10k ⭐ before 2025-08-01 unlocks WFGY 2.0.
DOI: 10.5281/zenodo.15788557
title: WFGY OS · HelloWorld.txt   The World's First Semantic Operating System in Pure TXT

description: This is the 1.0 official release of WFGY OS, titled "HelloWorld.txt" — the world’s first fully functional semantic operating system written in plain text.

No scripts, no installations, no hidden APIs.  Just one `.txt` file, readable by both humans and large language models.

 

📂 Everything in this file runs purely through semantic prompts — no code execution, no external scripts, no APIs.  🧠 It enables semantic reasoning, memory logging, modular logic triggering, and boundary detection — all within a `.txt` file.

✅ 100% AIR-GAPPED COMPATIBLE  • No calls to external servers  • No embedded APIs or plug-ins  • Zero dependencies — just text  • All logic powered by structured natural language

This TXT file is interpreted by any GPT-like model as an OS boot sequence.  It transforms an LLM into a semantic reasoning engine with memory, safety protocols, and tree-based thinking.  It does not require installation — simply copy-paste it into a session.

🚀 Currently, WFGY OS is powered by the WFGY 1.0 engine, which delivers:

📊 Semantic accuracy ↑ 22.4% | Reasoning success rate ↑ 42.1% | Stability ↑ 3.6x

🔓 If the project reaches 10,000 GitHub stars before August 1, 2025,  the engine will be upgraded — **for free** — to the new experimental:

WFGY 2.0 (simulated on GPT-4-Turbo)  📈 Semantic accuracy ↑ 36.7% | Reasoning success rate ↑ 65.4% | Stability ↑ 5.1x

The upgraded version will be published on Zenodo under the same URL with full documentation.All star supporters will be credited in the historical changelog.

---

📍 Main project link:  https://github.com/onestardao/WFGY

📁 OS and app updates:  https://github.com/onestardao/WFGY/tree/main/OS  As this is a pure `.txt` release, no automatic update mechanism is included.  Please always download the latest version manually from the above link.

---

📮 Contact: hello@onestardao.con  Author: PSBigBig

📚 See all research papers:  https://onestardao.com/papers---

⚠️ File verification notice



Please download the file to ensure full integrity.Copy-paste from preview may break formatting and fail checksum verification.


SHA256:8d41580b5f5b7ab750215299210d7bf720fa6222be6282d0473c35b86df603To verify:sha256sum HelloWorld.txt
DOI: 10.3535/hpn-myr-dlv
title: Trochonanina mozambicensis (L. Pfeiffer, 1855)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mf1-rhl-321
title: Chloritis concisa (A. Férussac, 1823)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5281/zenodo.15592010
title: Dataset for "Plants vs. Einstein: The Semantic Bio-Energy Revolution"

description: We extend Einstein’s mass-energy relation by introducing a novel “semantic term” S, yielding:  E_total = m c^2 + λ S,  [S] = J.S quantifies weighted acoustic energy modulated by valence (V) and arousal (A). We formulate a self-consistent Lagrangian:  L_total = ½(∂μφ_bio)^2 – ½ m_bio^2 φ_bio^2 + ½(∂μφ_sem)^2 – ½ m_sem^2 φ_sem^2 + λ_int φ_bio φ_sem.Mechanistic modeling links acoustic pressure → membrane potential → Ca²⁺ channel opening → Michaelis–Menten ATP kinetics.  We report real-data from three species—Arabidopsis thaliana, Solanum lycopersicum (tomato), Oryza sativa (rice)—each N=90, obtaining posterior β₁≈0.28 (90% CI [0.17,0.39]) and λ_int≈3×10³ m³/J.  Global constraints from torsion-balance, lunar laser ranging, Casimir, and ultracold neutron experiments appear in a log–log plot. Four precision detection methods (optical spectroscopy, muon decay, 23 T NMR, atomic interferometry) are proposed with detailed protocols.  All data, code (including Dockerfile), and protocols are archived here. This work inaugurates “Semantic Bio-Energy Physics” and provides a falsifiable path to verify S as a genuine physical quantity.

Contact Information (English):





Name: PSBigBig




Affiliation: Independent Researcher / Developer




Email: hello@onestardao.com




Papers: https://onestardao.com/papers/
DOI: 10.5281/zenodo.15612701
title: Semantic Collapse Reproducibility Dataset: Complete Code, Data, Figure Assets, and Environment Specifications for "Semantic-Field-Induced Objective Collapse in Quantum Measurement"

description: This dataset provides everything required to reproduce the key results of the paper “Semantic-Field-Induced Objective Collapse in Quantum Measurement.” It includes: (1) source code—text2scalar.py, audio2rms.py, run_experiment.py; (2) data files and figure assets—mzi_schematic.png, fig2_speaker_mount_v2.png, fig3_phase_monitor.png, gamma_vs_S.png; (3) environment specifications—environment.yml for Conda and Dockerfile for containerization; and (4) a clear, step-by-step master script that regenerates Figures 1–4 exactly as in the publication. All files are organized for one-click reproduction of the Mach–Zehnder interferometry experiments, semantic field simulations, and collapse-rate analysis.

 

Contact: PSBigBig, Independent Researcher;

Email: hello@onestardao.com;

Website: https://onestardao.com/papers
DOI: 10.5281/zenodo.15612999
title: Semantic Landauer Extension: Semantic Entropy Energy Cost Dataset

description: This dataset supports the paper “BERT-Based Semantic Entropy under Landauer’s Principle: A Framework for Quantifying Text Processing Energy Cost.” It includes: (1) per-sentence BERT attention distributions (JSON); (2) computed semantic entropy values SsemS_{\mathrm{sem}}Ssem (CSV); (3) normalized energy values EnormE_{\mathrm{norm}}Enorm (CSV); (4) hardware energy estimation data for NVIDIA A100 GPU and Intel Loihi neuromorphic chip (CSV); (5) GPT-3 API energy cost and electricity pricing examples (CSV); (6) plotting scripts and Jupyter notebook to reproduce all figures; (7) Flask demo server and simple web UI code.

 

Authors: PS BigBig (Independent Developer and Researcher)

Contact: hello@onestardao.com.

All papers:  https://onestardao.com/papers
DOI: 10.5281/zenodo.15926925
title: TXT: Blah Blah Blah Lite v1.0-beta — A Plain Text Nonsense Generator Powered by the WFGY Engine

description: This is the 1.0 official release of TXT: Blah Blah Blah — a surrealist semantic nonsense generator written entirely in plain text.

No UI. No scripts. No AI fluff.Just one .txt file that hijacks a language model’s logic stack and makes it dream in coherence.

📂 Everything in this file runs purely via structured natural language — no code, no APIs, no plugins.🧠 It enables semantic tension mapping (ΔS), surreal resonance (E_resonance), truth condensation, and memory-aware logic bursts — all within a single reasoning file.

✅ 100% AIR-GAPPED COMPATIBLE  • No network calls  • No tracking or telemetry  • No installation required  • All reasoning is powered by the WFGY 1.0 Engine  

TXT: Blah Blah Blah interprets user prompts as semantic energy and explodes them into 50 surreal but logically traceable statements — followed by a synthesized “Truth” and a reflective Tip.

This is not random nonsense.  Every output is governed by real-time semantic formulas:- ΔS (semantic tension)- λ_observe (logic direction)- BBCR (collapse–rebirth correction)- BBMC / BBPF / BBAM modules

🚀 The system is structured as a bootable logic sequence:1. Loads Tree memory2. Measures semantic jumps3. Records high-ΔS moments4. Prevents hallucination via BBCR

📊 Early benchmarks show:• Truthful-QA coherence ↑  • Reasoning novelty ↑  • Blah-logic retention ↑

This release is part of the WFGY family — a suite of TXT-based AGI-lite engines.

🔓 All code is readable as text. You may fork, remix, or patch as you wish.

📍 Main project page:  https://github.com/onestardao/WFGY

📁 TXT OS and app downloads:  https://github.com/onestardao/WFGY/tree/main/OS

✉️ Contact: hello@onestardao.com  Author: PSBigBig

⚠️ File verification notice

Please download the file to ensure formatting integrity.  Copying from preview windows may corrupt the structure.

SHA256:  1efefe6518ac10edaab5b2ca6bca7f14611639aa7d19f3fa35d4adf01770ee58

To verify:  `sha256sum BlahBlahBlah_Lite.txt`
DOI: 10.3535/mvh-qzs-vd9
title: Cepaea nemoralis (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5281/zenodo.15612255
title: Semantic Holography Reproducibility Package: Numerical Solvers, BERT Embeddings & Configuration for AdS₄/CFT₃ Simulations v1.0

description: This release provides all data, code, and configuration required to reproduce “Semantic Holography: Coupling a Semantic Field to AdS4/CFT3.” It includes:





Numerical solver (solver.py, parallel.py) and utility scripts (utils.py) for finite-difference and SOR implementations, with MPI/numba parallelization.




Environment specification (environment.yml) and container recipe (Dockerfile).




Parameter file (params.yaml) defining grid sizes and semantic amplitudes.




Example inputs (raw_sentences.txt, bert_embeddings.txt), plus all figures (*.png).




Full checksums (Appendix A) listing SHA-256 digest for every file to guarantee integrity.



All files reside in the project root and can be downloaded via DOI: https://doi.org/10.5281/zenodo.15612256.

Keywords: semantic holography, AdS/CFT, entanglement entropy, numerical solver, reproducibility, BERT embeddings.

Author: PSBigBig (Independent Researcher)Contact: hello@onestardao.comAll Papers: https://onestardao.com/papers
DOI: 10.3535/kfc-qrb-rya
title: Fruticicola fruticum (O. F. Müller, 1774)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pxs-mbs-wn9
title: Stenotrema hirsutum (Say, 1817)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/n6t-t01-nxh
title: Cochlicella acuta (O. F. Müller, 1774)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xas-lbn-pgs
title: Zonitoides nitidus (O. F. Müller, 1774)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jc9-289-zew
title: Vitrea contracta (Westerlund, 1871)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/16b-bkp-sa5
title: Gulella natalensis (Craven, 1881)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rgq-m9z-vdd
title: Oxyloma elegans (Risso, 1826)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6ag-813-29a
title: Gonyodiscus rotundatus (O. F. Müller, 1774)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/d5t-z54-1ae
title: Hesseola adshariensis (Lindholm, 1913)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6m1-ada-djb
title: Amborhytida dunniae (J. E. Gray, 1840)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fen-076-jw0
title: Isognomostoma isognomostomos (Schröter, 1784)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/q5x-x00-kf3
title: Mediterranea hydatina hydatina (Rossmässler, 1838)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/35j-v6v-5lx
title: Webbhelix multilineata (Say, 1821)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xma-30y-e6j
title: Webbhelix multilineata (Say, 1821)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2cs-2y2-hwr
title: Linisa oppilata (Morelet, 1849)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gre-y89-n28
title: Neocepolis merarcha (Mabille, 1888)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gxw-yjn-h4x
title: Manzonia Brusina, 1870

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5281/zenodo.15509073
title: BigBig Progression Formula — Datasets, Code and Reproducible Environment

description: CSV files for synthetic and real benchmarks, a minimal Jupyter demo, plus Dockerfile and Conda environment to reproduce all results in the paper “BigBig Progression Formula: Formal Axioms, Chaos Boundary, and Cross-Domain Validation.”

For reproducibility scripts, data access, and contact:

- 📧 hello@onestardao.com  

- 🌐 https://onestardao.com  

- 📚 All Papers: https://onestardao.com/papers/
DOI: 10.3535/0nc-yhe-xft
title: Pleurodonte Fischer von Waldheim, 1807

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ps8-9v6-rxw
title: Pleurodonte Fischer von Waldheim, 1807

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1yz-07r-r56
title: Trochoidea pyramidata (Draparnaud, 1805)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/n4t-mzc-d3q
title: Cernuella virgata (Da Costa, 1778)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ns8-0yz-3gw
title: Phacussa fulminata (F. W. Hutton, 1882)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/g3z-7yf-5xr
title: Trachycystis fossula Connolly, 1925

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qz6-xrp-35h
title: Marmorana muralis (O. F. Müller, 1774)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pw5-87b-w03
title: Xerolenta obvia obvia (Menke, 1828)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rxd-y6v-8hk
title: Albinaria virginea strigata (L. Pfeiffer, 1850)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kqv-a0z-jz0
title: Microstrophia modesta (H. Adams, 1867)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5d6-rp4-jvh
title: Anguispira alternata (Say, 1817)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dx8-8l1-ptw
title: Succinea putris (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5v0-w4c-6x2
title: Daedalochila postelliana (Bland, 1859)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ca9-dag-dnm
title: Sphincterochila Ancey, 1887

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1gs-lw0-jg6
title: Amphidromus alticola Fulton, 1896

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wc8-6r1-xk9
title: Helicodonta obvoluta (O. F. Müller, 1774)

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