The French Open Data platform data.gouv.fr is organizing a public demo to show the latest and future planned features of the platform, which includes harvesting geographic data, high-value data, opening up the platform to restricted data, providing data through APIs, etc.

Demo is on November 20, 2024, from 1pm to 2pm UTC (all in French), and registration to attend is here: https://tally.so/r/mV1LAJ

Hello everyone!

I’m currently working on a research project aimed at improving early-stage detection of ovarian cancer using deep learning applied to ultrasound images. Right now, I’m in the dataset collection phase and have encountered some challenges in finding accessible datasets.

I’ve come across the PLCO and MMOTU datasets:

• PLCO requires a project proposal to gain access, which I’m considering but may take some time.
• MMOTU offers segmentation data but doesn’t include the full range of diagnostic images needed for my work.

After reviewing literature, I’ve noticed that many researchers use clinical study datasets that are private, hospital-specific patient data, or other datasets that aren’t publicly available.

If anyone here has worked on similar projects or faced these challenges, I’d be very grateful for any pointers! Specifically, I’m looking for:

• Publicly accessible ultrasound datasets focused on ovarian or gynecological cancers
• Datasets that may be available through author requests or by contacting relevant organizations

Thanks in advance for any guidance or resources you can share!

Hi everyone,

I’m working on a tool that helps charge point operators identify the best locations for new charging stations. I’m looking for geodata on power substations at the distribution level in Germany (location, operator name, and possibly hosting capacity). Does anyone know of any reliable and open sources for this information?

Thank you!

Thanks for any help

Hey everyone, looking forward to the elections in the US I'm wondering if live exit polls will be available as open data? What providers come to mind? I am building data visualization / automation tools for a media company, and we are exploring ways to cover the election with automated charts – given a reliable data source we can tap into.

Check out my latest article on the Mathematical Foundations of Prophet Forecasting for GB Power Demand! 📊 This explainable model, using trends, seasonality, external regressors, and Bayesian probabilities, offers powerful insights without the mystery of black-box methods. A must-read for those interested in transparent forecasting for energy demand. 📈👨‍💻⚡️

Read more here: https://medium.com/@pcparedesp/mathematical-foundations-of-prophet-forecasting-applied-to-gb-power-demand-a2a825b380e2

#DataScience #ProphetModel #Forecasting #Energy #BayesianAnalysis #MachineLearning #ExplainableAI

Need a high-granularity power demand dataset for GB?

Check out my guidelines for building a half-hourly, sectoral, locational GB power demand ETL pipeline!

https://medium.com/@pcparedesp/gb-gross-demand-etl-pipeline-at-a-high-granularity-guideline-short-articles-f43210a40d1f

1. Data source : mySociety, originally from Houses of Parliament
2. Edits : Standardisation of donor names, Companies(with CoHouse data), Unions to standard government list, Individuals(manual process)
3. Link : https://lookerstudio.google.com/reporting/346aae35-ec1a-4373-b7f4-f2aab1a57a20

Data presented in Google Looker Studio with Search by MP, Donor and Donor Type plus some visualisations.

What are your favorite weather APIs for showing accurate snow depth (current and forecast)? I'm in USA but whatever, it's all interesting.

Bonus points if it has a widget showing forecast over time.

Are there any conferences for data portals? I would like to attend one in the future, but wasn't sure if such an event existed.

DeFroda SF, Vadhera AS, Quigley RJ, Singh H, Beletsky A, Cohn MR, Michalski J, Garrigues GE, Verma NN. Moderate Return to Play and Previous Performance After SLAP Repairs in Competitive Overhead Athletes: A Systematic Review. Arthroscopy. 2022 Oct;38(10):2909-2918.

Schubert et al. (2024) reveal the successes and challenges faced by organizations in adhering to reforestation best practices. While many acknowledge the importance of measurable goals and community involvement, only a few provide detailed monitoring and long-term plans. Only 38% of organizations in the study report quantitative measures of the benefits to local communities.

https://groundtruth.app/evaluating-global-tree-growing-efforts-achievements-and-challenges/

Hey everyone,

I'm letting everyone know of a large survey to gather insights on the current challenges in AI and the types of projects that could address these issues.

Your input will be invaluable in helping to identify and prioritize these problems.

Participants who fill out the Google Form will likely get access to the resulting dataset once it's completed!

If you're passionate about AI and want to contribute to shaping the future of the field, your input would be appreciated.

[Link to Survey]

Thanks in advance for your time and contribution!

Hi everyone,

I'm working on a project that involves aggregating legislative data from different countries. Specifically, I need APIs that provide information about acts, bills, and their current statuses (e.g., whether they are passed, being discussed, etc.).

I would really appreciate it if anyone could share links to similar APIs for other countries, or even additional ones for the countries listed above. It would be especially helpful to have APIs that provide detailed information on the status of legislative documents.

Thanks in advance for your help!

https://opendata.blog/office-for-national-statistics-the-best-source-for-open-data

Please feel free to explore my blog on open data : https://opendata.blog