Hi All,

I am doing some research for a small team on Crude Oil futures (CRUDEOIL, MCX) and looking for historical data from the past 5-10 years, ideally in 15-minute intervals.

If anyone knows of any sources, especially free ones, I would really appreciate your help.

Hii, I am a master’s student currently working on my thesis and I am looking for someone who can provide me with these datasets as they are only open to Korean students/nationals. They are crop disease dataset.

AI‑Hub; Facility Crop Disease Diagnostic Image Dataset Home Page. Available online: https://www.aihub.or.kr/aihubdata/data/view.do?currMenu=115&topMenu=100&aihubDataSe=realm&dataSetSn=147

AI‑Hub; Outdoor Crop Disease Diagnostic Image Dataset Home Page. Available online: https://www.aihub.or.kr/aihubdata/data/view.do?currMenu=115&topMenu=100&aihubDataSe=realm&dataSetSn=153

Thanks you

Hi guys. I’m taking a course on applied data science and doing python for the first time. For our project, we have to do an analysis on a dataset. I know we have kaggle for clean datasets. I’m looking for ideas, not too complex. Can y’all please help me out? where do I begin? what can I look at? what will make this project interesting?

Helo, I am looking for a dataset that contains marketing images for different types of businesses. For example, pet grooming businesses. Like that one

https://imgur.com/a/5zCxe0r

I am in my 4th year of BSc and i am doing my bachelor thesis on machine learning. I want to do thesis on healthcare resource allocation using deep q learning . For that i need a suitable dataset. But i can’t any good dataset. Any help would be appreciated. Thank You.

Hi everyone,

I’ve built a website called NPSNAV.in, which tracks the daily NAV (Net Asset Value) for all National Pension Scheme (NPS) funds in India. In addition to the latest NAV, the site also provides historical NAV data and performance metrics for each fund over time frames like 1D, 7D, 1M, 3M, 6M, 1Y, 3Y, and 5Y.

Check it out: https://npsnav.in

One of the challenges with NPS data is that the official data source (NSDL) sometimes changes the file formats, which breaks most websites. To handle this, I’ve added error checks, ensuring more accurate and up-to-date data compared to other sources.

The dataset is available through a free API for anyone who wants to use it in their own projects. You can easily pull the latest or historical NAV data using the API endpoints.

API Example: For Google Sheets: =IMPORTDATA(“https://npsnav.in/api/SM001001”) Data Coverage: Daily NAV values for all NPS funds from the last 5+ years. Source Code & Data License: The entire project is open-source and licensed under AGPL 3.0. You can find the repo here: GitHub – NPSNAV

Feel free to check it out, use the data, or report any issues!

Hello,

For my research project I’m focusing mental health outcomes in immigrant populations in the US and how they differ between urban and rural areas in the US. I also what to analysis the extent of economic facts such as income and employment status may affect such outcomes.

I’m really interested in the topic but fear that won’t be able to find a publicly available dataset that I could analyze. Does anyone know of any possible sources. If no, how could I modify by initial question so I can find a dataset.

Thank you!

Hi all,

I’m looking for a dataset that maps URLs to respective categories (eg.: facebook.com -> social media).

I know of this: https://data.world/crowdflower/url-categorization
However, the list quite small (~30K URLs)

Ideally across many different categories. (musicians, youtubers, leaders, etc.)

I have a model I am trying to train, however I need a data set of goods and services sold in Kampala per sector. Where can I find it?

I looked everywhere online, can find only L1 processed dataset at best. can someone link or share some L0/raw scenes from EO-1 Hyperion sensor?

Looking for accident data (fatality-only data is a reasonable fallback) for vehicle-pedestrian and possibly vehicle-bicycle collisions in the USA, hopefully for a reasonable timeframe, such as since 1990.

GHSA makes reports available with selected compiled statistics, but I’m hoping for raw data in some analyzable format like CSV, Excel, etc.

IIHC has data available, but very disaggregated–by vehicle make and model, as far as I can tell, so there are dozens or hundreds of individual datasets to download.

If anyone has a link to a consolidated dataset of the type I’ve described, I will be very grateful.

Tweet describing what the data shows and the map he made https://x.com/undertheraedar/status/1838153339747365235

Methodology for USA he is copying https://journals.plos.org/plosone/article?id=info%3Adoi/10.1371/journal.pone.0166083

data itself https://www.ons.gov.uk/economy/economicoutputandproductivity/output/articles/consumercardspendingflowofspendingacrosstheuk/2019to2023

Anyone with access to the Trucost dataset? I’m looking for carbon dioxide impact per company’s consolidated revenue. Or a similar carbon specific measure to use in my research.

Note: Not looking for broad environmental measures like esg.

I would be very interested in a dataset that has at least the yearly production of olive oil in Spain (not interested in other fields).

I found some info on the Ministry of Agriculture of Spain but only found data over the last 20 years, while for my research I would ideally need data from the last century.

Links, sources, books, ideas, whatever comes to mind helps. Thanks!

Hi everyone,

I’m currently working on my master’s thesis, where I’m exploring housing affordability through a spatial hedonic model. My data includes cross-sectional property transactions for three towns, but I’m trying to push the boundaries by incorporating mortgage payments, interest rates, and even inflation into the model—something that’s not typically done with this kind of analysis.

The goal is to capture more than just property price determinants; I want to reflect how financing conditions (e.g., mortgage rates) impact housing affordability spatially. However, since I’m limited to cross-sectional data, I’m trying to think creatively about how to do this while staying within the bounds of spatial econometric methods.

Here’s what I’ve been considering:

Mortgage Payments: Calculating the monthly payments based on property values and prevailing mortgage rates and using these as an alternative measure of affordability in the hedonic model. Interest Rates: Exploring whether I can create interaction terms to see how amenities (e.g., proximity to urban centers or parks) are valued differently under varying interest rate conditions. Inflation: I’m wondering if adjusting housing prices or mortgage payments for inflation would be valuable, or if there’s a better way to represent the impact of inflation on affordability.

Question for the community: How would you approach incorporating mortgage payments, interest rates, and inflation into a spatial hedonic model given the limitation of cross-sectional data? Any creative methods or existing papers you can point me to?

I’d love to hear from anyone who’s tackled a similar problem or just has ideas on how to make this work. Thanks in advance for your input—let’s push the field of housing affordability research forward together!

TL;DR: Working on housing affordability with a spatial hedonic model using cross-sectional data. Need ideas on how to creatively incorporate mortgage payments, interest rates, and inflation into the model. Thoughts?

Hello, I am currently working on a project addressing the pricing challenges in the canadian Telecommunications Industry. I need a dataset , specifically focusing on Rogers Communications. I would greatly appreciate it if anyone could point me to publicly available datasets, resources, or tools. Any help or guidance would be invaluable. Thank you!

Hi all! I’m looking for images of receipts and/or invoices from around the world. I don’t need a large dataset – just 1-5 images per country. I have about 80 countries that I need the receipt images from. I will also need to be able to be able to modify the images (e.g., draw boxes on them) and use them commercially.

Any ideas about how I can get these?
Happy to pay for them too!

Thanks:)

Hi everyone,

I’m currently a Master’s student working on a project aimed at helping farmers by using image recognition and disease detection in crops. I’m looking for a comprehensive dataset that contains:

Multiple crop types Multiple diseases for each crop Images labeled with the severity of the disease (early, medium, and late stages) Bounding boxes around the diseased areas to train an object detection model

If anyone knows of any websites, organizations, or institutions where such a dataset is available, I would really appreciate your help!

Thank you!

Hi Everyone,

I am doing a project.
The topic for the project is – Addressing the pricing challenges in the canadian telecommunication industry. I am looking for datasets related to Rogers communications but unfortunately unable to find to work on. Can anyone please guide on how to approach or proceed further?

Little background about me I come from a poor financial background and I managed to save just enough to open a mini pharmacy in my country but I don’t want to waste money and get meds that no one requires as this pharmacy is my only hope to get my family and myself out of poverty. I wanted to get dataset on all meds sold in a country so I can see the trends and buy meds that are needed. Thanks

Does anybody know of a word2vec model that is trained on object definitions? Perhaps something trained on an encyclopedia? I can’t seem to find anything online.

My ideal scenario would be that it finds similarities between, say, “rollercoaster”, and its constituent parts (metal, tracks, moving fast, speed), etc.

Or between “saturn” and (rings, space, stars, gas, yellow, huge)

It’s a little more complex than the above examples, but I’m pretty solid on the approach, so I’ve simplified it for ease.

If there are none trained on encylopdia, would Wikipedia be a suitable dataset for this kind of use case?

(Before anyone says the obvious; I know that Wikipedia is an “online encyclopedia,” but as you all know, it goes way further than that. There are wiki pages for all sorts of games, events like natural disasters, etc, and I’m worried that those might taint the data pool.)

Hello, I just started a Visualizations in Healthcare class, and I’m trying to find “datasets” relating to my topic of choice. The topic is Alzheimer’s, but this post is more about the topic of datasets in general. I figured it would be easy to find some huge 10 million row dataset that is the official dataset for Alzheimer’s or something… but it seems that’s not quite how it goes.
Meanwhile I’ve put together this great outline for the project, and I did a ton of reading on the latest in treatment and research on the topic. I have all the ideas that I want to cover, and a lot of really good journals that together have enough data tables to visualize whatever I need to visualize, but no like, Classic ~The Dataset.csv~ 10 million rows, and has literally all the data.
I did find one “dataset” on a dataset website on hospitalizations for Alzheimer’s by region, by demographic, and is a downloadable .csv file, but it’s not very big, like 1250 rows, and has little to no relevance to me.

To me, I don’t see the difference between visualizing some small table in a journal vs visualizing a huge dataset, especially if I’m just picking out a few fields that matter to me or something, but I don’t think that’s the point of the project is it? I’m not really familiar with the world of getting datasets. I always just figured, someone gives you a dataset, and you analyze it.

Ideally, we would like for people to be able to search up thir address, and have a map that tells them who is on the ballot for upcoming november elections. Any ideas?

As subject describes – i’m looking for an up to date list of this information, ideally no-cost but very happy with a lower cost solution.

If it contains equities and other listed instruments this would be a big bonus.

I’ve done a good search through previous posts and can’t find anything that fits the bill.

Many thanks!

Basically, I need a dataset that includes the hourly temperatures for a number of locations between two dates. I can only seem to find daily temperature max/avg/min for multiple locations. Is anyone aware of a way to access the hourly data for multiple locations? Thanks in advance!