[DataCap Application] Pangeo Community

[udi1231239]

Version

1

DataCap Applicant

Pangeo Community

Project ID

001

Data Owner Name

Pangeo Community

Data Owner Country/Region

United States

Data Owner Industry

IT & Technology Services

Website

https://pangeo-data.github.io/pangeo-cmip6-cloud/

Social Media Handle

[at]pangeo_data (Twitter)

Social Media Type

Slack

What is your role related to the dataset

Data Preparer

Total amount of DataCap being requested

8PiB

Expected size of single dataset (one copy)

1PiB

Number of replicas to store

8

Weekly allocation of DataCap requested

1 PiB

On-chain address for first allocation

f17cuovxm2hqymgvwy5vxhyescpsy62lkqrnmuhha

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

Our team is a very pure development team, more than half of whom have more than 5 years of development experience in communication, Internet, blockchain and other industries. 

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

Zarr formatted data and Netcdf formatted data.
The sixth phase of global coupled ocean-atmosphere general circulation model ensemble.

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)

Singapore

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

After we download data from the Internet, the data is cut into disks through Singularity, and then the hard disk is mailed to the SPs.

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.

There are some people who have stored this data in 2021 or earlier, some of the data may expire, I want to store them again.

Please share a sample of the data

aws s3 ls --no-sign-request s3://cmip6-pds/
aws s3 ls --no-sign-request s3://esgf-world/

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

• 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

1.5 to 2 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

Shipping hard drives

How did you find your storage providers

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.

f03231154, HongKong
f03228906, China
f03157910, Shenzhen, China
f03157905, Shenzhen, China
f03218576 US
f03215853 US
f01025366, Qingdao, China
f0122215,Qingdao, China

How do you plan to make deals to your storage providers

Boost client

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]

Application is waiting for allocator review

[TOPPOOL-LEE]

Could you list the technical solutions in detail?
Could you tell me why you applied for so many DCs? Can the total number of DCs you applied for be reduced?
Could you list the names of your cooperating sps, geographical locations and companies?
Are you sure you can support Spark?

[udi1231239]

Use Python automation program to download , orders through boost
We have cooperated with 10 SPs, and the average demand of each SP is 2PiB each, so we do not want to reduce the total number of DCs. Is there an upper limit on the total amount of data applied for?
f03231154, HongKong
f03228906, China
f03157910, Shenzhen, China
f03157905, Shenzhen, China
f03218576 US
f03215853 US
f01025366, Qingdao, China
f0122215,Qingdao, China
All can support Spark. I hope to get your help. Thank you.

[TOPPOOL-LEE]

I think your total number of applications is still too large! Hope it can be reduced to less than 10P.

[udi1231239]

OK, we have complied with your mandate and modified the application form. We hope to get your help.

[datacap-bot]

Datacap Request Trigger

Total DataCap requested

8PiB

Expected weekly DataCap usage rate

1 PiB

DataCap Amount - First Tranche

256TiB

Client address

f17cuovxm2hqymgvwy5vxhyescpsy62lkqrnmuhha

[datacap-bot]

DataCap Allocation requested

Multisig Notary address

Client address

f17cuovxm2hqymgvwy5vxhyescpsy62lkqrnmuhha

DataCap allocation requested

256TiB

Id

6985905e-f994-4072-b964-3772921827eb

[datacap-bot]

Application is ready to sign

[datacap-bot]

Request Approved

Your Datacap Allocation Request has been approved by the Notary

Message sent to Filecoin Network

bafy2bzaced63xa7gobyk3ukrf3dm5qpfmqmjluewmjc2dji3noe4d2xde4yt6

Address

f17cuovxm2hqymgvwy5vxhyescpsy62lkqrnmuhha

Datacap Allocated

256TiB

Signer Address

f1grjkkw3p5hw3vx5gonvppkkzpcgmu4xnwfm7sli

Id

6985905e-f994-4072-b964-3772921827eb

You can check the status of the message here: https://filfox.info/en/message/bafy2bzaced63xa7gobyk3ukrf3dm5qpfmqmjluewmjc2dji3noe4d2xde4yt6

[datacap-bot]

Application is Granted

[TOPPOOL-LEE]

checker:manualTrigger

[datacap-bot]

DataCap and CID Checker Report Summary¹

Storage Provider Distribution

✔️ Storage provider distribution looks healthy.

⚠️ 25.00% of Storage Providers have retrieval success rate less than 75%.

Deal Data Replication

✔️ Data replication looks healthy.

Deal Data Shared with other Clients²

✔️ No CID sharing has been observed.

Full report

Click here to view the CID Checker report.

Footnotes

1. To manually trigger this report, add a comment with text checker:manualTrigger ↩

2. To manually trigger this report with deals from other related addresses, add a comment with text checker:manualTrigger <other_address_1> <other_address_2> ... ↩

[datacap-bot]

Issue information change request has been approved.

[datacap-bot]

Request Approved

Your Datacap Allocation Request has been approved by the Notary

Message sent to Filecoin Network

bafy2bzacear2ld4epxjkmmeomsjyd54cmb2z23sv2y4r3hipgg5yr53cc5oca

Address

f17cuovxm2hqymgvwy5vxhyescpsy62lkqrnmuhha

Datacap Allocated

512TiB

Signer Address

f1grjkkw3p5hw3vx5gonvppkkzpcgmu4xnwfm7sli

Id

44f29970-25d7-40c3-ab28-645b991521c3

You can check the status of the message here: https://filfox.info/en/message/bafy2bzacear2ld4epxjkmmeomsjyd54cmb2z23sv2y4r3hipgg5yr53cc5oca

[datacap-bot]

Application is Granted

[datacap-bot]

Client used 75% of the allocated DataCap. Consider allocating next tranche.

[udi1231239]

checker:manualTrigger

[datacap-bot]

DataCap and CID Checker Report Summary¹

Storage Provider Distribution

⚠️ 4 storage providers sealed too much duplicate data - f03157905: 21.72%, f03218576: 25.85%, f03215853: 24.40%, f03231154: 22.81%

⚠️ 25.00% of Storage Providers have retrieval success rate less than 75%.

Deal Data Replication

✔️ Data replication looks healthy.

Deal Data Shared with other Clients²

✔️ No CID sharing has been observed.

Full report

Click here to view the CID Checker report.

Footnotes

1. To manually trigger this report, add a comment with text checker:manualTrigger ↩

2. To manually trigger this report with deals from other related addresses, add a comment with text checker:manualTrigger <other_address_1> <other_address_2> ... ↩

[udi1231239]

checker:manualTrigger

[datacap-bot]

DataCap and CID Checker Report Summary¹

Storage Provider Distribution

⚠️ 4 storage providers sealed too much duplicate data - f03157905: 21.03%, f03218576: 25.62%, f03215853: 23.91%, f03231154: 22.60%

⚠️ 25.00% of Storage Providers have retrieval success rate less than 75%.

Deal Data Replication

✔️ Data replication looks healthy.

Deal Data Shared with other Clients²

✔️ No CID sharing has been observed.

Full report

Click here to view the CID Checker report.

Footnotes

1. To manually trigger this report, add a comment with text checker:manualTrigger ↩

2. To manually trigger this report with deals from other related addresses, add a comment with text checker:manualTrigger <other_address_1> <other_address_2> ... ↩

[udi1231239]

Dear @TOPPOOL-LEE and technician, our team checked the program we developed and it is normal, so there is no possibility of duplicate data, especially since all three sps have this problem, there must be a bug.
We think it may be that the data has not been updated, or there is a bug in the bot. We have followed up on the problem we encountered in 73.
However, according to the official technicians, it seems that it will take time to solve this bug, so we hope to be supported again so that we have enough time to continue to serve customers while waiting for the update.
Thank you.

[udi1231239]

[TOPPOOL-LEE]

Let's wait 30 hours and hopefully the bot will update. Please keep patient @udi1231239

[TOPPOOL-LEE]

there are some changes between your disclosed SP and the cooperating SP, please explain.

[udi1231239]

Use Python automation program to download , orders through boost We have cooperated with 10 SPs, and the average demand of each SP is 2PiB each, so we do not want to reduce the total number of DCs. Is there an upper limit on the total amount of data applied for? f03231154, HongKong f03228906, China f03157910, Shenzhen, China f03157905, Shenzhen, China f03218576 US f03215853 US f01025366, Qingdao, China f0122215,Qingdao, China All can support Spark. I hope to get your help. Thank you.

Dear Allocator,Before you sign the first round for us, we previously disclosed the updates of SP on GitHub, but they were not synchronized to the submission form here.
To reduce misunderstandings, we have already updated the application form. Thank you.

[datacap-bot]

Issue has been modified. Changes below:

(OLD vs NEW)

Please list the provider IDs and location of the storage providers you will be working with: f03231154, HongKong
f03228906, China
f03157910, Shenzhen, China
f03157905, Shenzhen, China
f03218576 US
f03215853 US
f01025366, Qingdao, China
f0122215,Qingdao, China vs f03231154, HongKong
f03228906, China
f03157910, Shenzhen, China
f03157905, Shenzhen, China
f03220172, Singapore
f03220176, HongKong
f01025366, Qingdao, China
f0122215,Qingdao, China
State: ChangesRequested vs Granted

[TOPPOOL-LEE]

checker:manualTrigger

[datacap-bot]

DataCap and CID Checker Report Summary¹

Storage Provider Distribution

⚠️ 4 storage providers sealed too much duplicate data - f03157905: 21.40%, f03218576: 26.06%, f03215853: 23.50%, f03231154: 22.13%

⚠️ 25.00% of Storage Providers have retrieval success rate less than 75%.

Deal Data Replication

✔️ Data replication looks healthy.

Deal Data Shared with other Clients²

✔️ No CID sharing has been observed.

Full report

Click here to view the CID Checker report.

Footnotes

1. To manually trigger this report, add a comment with text checker:manualTrigger ↩

2. To manually trigger this report with deals from other related addresses, add a comment with text checker:manualTrigger <other_address_1> <other_address_2> ... ↩

[udi1231239]

We have started #53, we have closed 40, hoping to get help to verify whether there is a problem with our technical solution or with the bot, thank you.

[TOPPOOL-LEE]

checker:manualTrigger

[datacap-bot]

DataCap and CID Checker Report Summary¹

Storage Provider Distribution

✔️ Storage provider distribution looks healthy.

⚠️ 75.00% of Storage Providers have retrieval success rate less than 75%.

Deal Data Replication

✔️ Data replication looks healthy.

Deal Data Shared with other Clients²

✔️ No CID sharing has been observed.

Full report

Click here to view the CID Checker report.

Footnotes

1. To manually trigger this report, add a comment with text checker:manualTrigger ↩

2. To manually trigger this report with deals from other related addresses, add a comment with text checker:manualTrigger <other_address_1> <other_address_2> ... ↩