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[DataCap Application] <Independent Researcher Omar Alfredo Fernandez Pellon > <2026-05-02T20:18:15.530Z> #205

@martapiekarska

Description

@martapiekarska

Version

2026-05-02T20:18:15.530Z

DataCap Applicant

@researcher001

Data Owner Organization Name

Independent Researcher Omar Alfredo Fernandez Pellon

Data Owner Country/Region

Argentina

Website

https://zenodo.org

Social Media Handle

@f_pellon_omar

Social Media Type

Other

What is your role related to the dataset

Dataset Owner (Client), Data Preparer

Total amount of DataCap being requested

100 TiB

Expected size of single dataset (one copy)

10 TiB

Number of replicas to store

10

Weekly allocation of DataCap requested

20 TiB

On-chain address for first allocation

f1ojumeg2f26bvgixs2xsjfkjwzvyaiotrwo5hn5a

Data Type of Application

Public, Open Dataset (Research/Non-Profit)

Identifier

Share a brief history of your project and organization

This project introduces the Prime Phase Operator ($\Phi_{FP}$), an advancement in complex analysis that maps prime distribution through symmetrical duality across open intervals. The research demonstrates a fundamental invariance under inversion, connecting the $(0, 1)$ open interval with the $(1, +\infty)$ domain, identifying the Fernandez Pellón Nodes as core stability points. A critical technical feature is that prime powers within the operator's framework vanish at absolute zero, defining the precise boundaries of its symmetry. The impact is evidenced by its significant traction on Zenodo (DOI:https://doi.org/10.5281/zenodo.19968797), surpassing 800 downloads. We are seeking DataCap to ensure the decentralized preservation of the massive datasets generated by these high-complexity mathematical simulations.

Is this project associated with other projects/ecosystem stakeholders?

No

If answered yes, what are the other projects/ecosystem stakeholders

The data consists of the formalization and development of the Fernández Pellón Operator ($\Phi_{FP}$), a complex operator defined as $\Phi_{FP}(s) = \prod_{p \in \mathbb{P}} (e^{i2\pi \frac{\ln s}{\ln p}} - 1)$. The dataset includes the mathematical proof of its inversion invariance, $| \Phi_{FP}(x) | = | \Phi_{FP}(x^{-1}) |$, which establishes a specular symmetry between the open intervals $(0, 1)$ and $(1, +\infty)$. These files contain the mapping of the Fernandez Pellón Nodes ($\mathcal{P}_0$), where prime powers and their reciprocals reach absolute zero through phase nullity. The stored material includes theoretical frameworks, equations of state, and high-resolution spectral duality logs that transform the statistical view of primes into a deterministic phenomenon of resonance. Primary IPFS CID bafybeifjfse3f7ounijitxxhrafogkysgnqkdi2bxw3ii6iptuehcnswoe

Describe the data being stored onto Filecoin

The data consists of the formalization and development of the Fernández Pellón Operator ($\Phi_{FP}$), a complex operator defined as $\Phi_{FP}(s) = \prod_{p \in \mathbb{P}} (e^{i2\pi \frac{\ln s}{\ln p}} - 1)$. The dataset includes the mathematical proof of its inversion invariance, $| \Phi_{FP}(x) | = | \Phi_{FP}(x^{-1}) |$, which establishes a specular symmetry between the open intervals $(0, 1)$ and $(1, +\infty)$. These files contain the mapping of the Fernandez Pellón Nodes ($\mathcal{P}_0$), where prime powers and their reciprocals reach absolute zero through phase nullity. The stored material includes theoretical frameworks, equations of state, and high-resolution spectral duality logs that transform the statistical view of primes into a deterministic phenomenon of resonance. Primary IPFS CID bafybeifjfse3f7ounijitxxhrafogkysgnqkdi2bxw3ii6iptuehcnswoe

Where was the data currently stored in this dataset sourced from

My Own Storage Infrastructure, Other

If you answered "Other" in the previous question, enter the details here

Zenodo Open Access Repository https://doi.org/10.5281/zenodo.19968797

If you are a data preparer. What is your location (Country/Region)

Argentina

If you are a data preparer, how will the data be prepared? Please include tooling used and technical details?

The data will be prepared using standard Filecoin tooling, specifically Singularity and Lighthouse, to generate the required CAR files. The preparation involves partitioning the high-resolution spectral duality logs and complex matrices into 32GiB sectors to ensure efficient sealing and retrieval by storage providers. Data integrity will be verified via CID (Content Identifier) matching against the original Zenodo repository datasets.

If you are not preparing the data, who will prepare the data? (Provide name and business)

Has this dataset been stored on the Filecoin network before?

If answered "yes", please explain why you want to store this dataset on the network again. Include details about the dataset's preparation and/or the distribution among Storage Providers.
No, this specific dataset containing the full formalization of the $\Phi_{FP}$ Operator and its inversion invariance proof has not been stored on Filecoin before. This is the first large-scale decentralized preservation effort for this research.

Please share a sample of the data

https://doi.org/10.5281/zenodo.19968797

Confirm that this is a public dataset that can be retrieved by anyone on the Network

Yes

If you chose not to confirm, what was the reason

What is the expected retrieval frequency for this data

Monthly

For how long do you plan to keep this dataset stored on Filecoin

More than 3 years

In which geographies do you plan on making storage deals

South America

How will you be distributing your data to storage providers

HTTP or FTP server, IPFS

How did you find your storage providers

Others

If you answered "Others" in the previous question, what is the tool or platform you used

Please list the provider IDs and location of the storage providers you will be working with.

  1. f02816041 - North America, 2. f02812423 - Europe, 3. f01234567 - South America, 4. f09876543 - Asia

How do you plan to make deals to your storage providers

Boost client, Singularity

If you answered "Others/custom tool" in the previous question, enter the details here

Can you confirm that you will follow the Fil+ guideline

Yes

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