[DataCap Application] ESRF

[yse88483]

Version

1

DataCap Applicant

DATADAO

Project ID

DATADAO-03

Data Owner Name

ESRF

Data Owner Country/Region

United States

Data Owner Industry

Life Science / Healthcare

Website

https://www.esrf.fr/about

Social Media Handle

https://www.esrf.fr/about

Social Media Type

Slack

What is your role related to the dataset

Data Preparer

Total amount of DataCap being requested

10PiB

Expected size of single dataset (one copy)

2PiB

Number of replicas to store

5

Weekly allocation of DataCap requested

512TiB

On-chain address for first allocation

f14sr42j4lvztsdhht5oo7i6lv3jirbn5towsu2iq

Data Type of Application

Public, Open Dataset (Research/Non-Profit)

Custom multisig

• [ ] Use Custom Multisig

Identifier

No response

Share a brief history of your project and organization

DATADAO is built upon technical expertise and utilizes proprietary programs and advanced tools to provide customized car data packaging services to clients. Our team boasts extensive experience and proficiency in utilizing cutting-edge tools such as go-graphsplit and singularity to ensure efficient and accurate data packaging. Our service process encompasses the following key points:

Technical Expertise: Our team possesses rich technical expertise in utilizing advanced tools. By leveraging tools like go-graphsplit and singularity, we ensure the efficiency and accuracy of data packaging. These tools aid us in processing and packaging client-provided data to meet the storage requirements of the Filecoin network.

Data Processing Flow: We employ proprietary programs to segment, package, and compress client-provided data, ultimately generating ZIP files ranging from 28-32GB in size to align with the storage requirements of the Filecoin network. Through these services, we effectively assist clients in processing and preparing data for storage and usage on the Filecoin network.

Is this project associated with other projects/ecosystem stakeholders?

No

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

No response

Describe the data being stored onto Filecoin

With a brand-new generation of high-energy synchrotron, the ESRF is the world's brightest X-ray source and a centre of excellence for fundamental and innovation-driven research in condensed and living matter science. 

On August 2020, the ESRF opened its completely rebuilt x-ray source, ESRF-EBS (Extremely Brilliant Source), the world’s first fourth-generation high-energy synchrotron.

The ESRF - The European Synchrotron Radiation Facility - is the most intense source of synchrotron-generated light, producing X-rays 100 billion times brighter than the X-rays used in hospitals. These X-rays, endowed with exceptional properties, are produced at the ESRF by the high energy electrons that race around the storage ring, a circular tunnel measuring 844 metres in circumference.

The ESRF was conceived as a true European collaboration for the advancement of X-ray science. In 1988, eleven European countries joined forces to build the world’s most performing and bright « third-generation » light source. This visionary project has made an outstanding contribution to the excellence of European science. Almost thirty years later, a new dream saw the light, with the launch of a brand-new generation of high-energy synchrotron, the ESRF's Extremely Brilliant Source. With the support of ESRF's 21 partner countries, EBS provides scientists from all over the world with new opportunities to pioneer innovative science and to addressing the complex global challenges that our society faces.

Where was the data currently stored in this dataset sourced from

AWS Cloud

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

No response

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

None

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

Yes，I am data preparer, DATADAO have technical team that specializes in providing Car data packaging services to our clients, which include: 1. technical expertise: our team is skilled in using advanced tools such as go-graphsplit, singularity, etc. to ensure efficient and accurate data packaging. 2. Data Processing Flow: We use self-developed programs to cut, package, and compress the data provided by our clients into 28-32GB zip files to meet the storage requirements of the Filecoin network. Through these services, we are able to effectively help our clients process and prepare data for storage and use on the Filecoin network.

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

No response

Has this dataset been stored on the Filecoin network before? If so, please explain and make the case why you would like to store this dataset again to the network. Provide details on preparation and/or SP distribution.

No response

Please share a sample of the data

https://www.esrf.fr/about

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

• [X] I confirm

If you chose not to confirm, what was the reason

No response

What is the expected retrieval frequency for this data

Yearly

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

2 to 3 years

In which geographies do you plan on making storage deals

Greater China, Asia other than Greater China, North America, Europe

How will you be distributing your data to storage providers

Cloud storage (i.e. S3), HTTP or FTP server, IPFS, Shipping hard drives

How did you find your storage providers

Slack, Partners

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

No response

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

f03028310
f03028315
f03028318
f03028321  
f03028325   
f03028326

How do you plan to make deals to your storage providers

Boost client, Lotus client, Bidbot

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

No response

Can you confirm that you will follow the Fil+ guideline

Yes

[datacap-bot[bot]]

Application is waiting for allocator review

[psh0691]

@yse88483 Hi, Did you apply for the same content to other DC allocators? Therefore, please close your application.