I need to create a plant recognition model for my team and we are searching for a plant recognition model. Any help would be appreciated.

Hello everyone,

I’m hoping you all can help. I am looking for a Rugby tracking data set that shows the XY position of players on the field. I know some more things exist for football, both American and European but I am really struggling to find that information for Rugby.

Anything helps if you have an idea or no somewhere I should start my search. Please let me know.

Hello everyone, I am trying to find the dataset for these dashboards, or anything similar. If anyone has the source of data, or any ideas I would appreciate it. Thanks!

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Article with dashboard: https://www.geodan.com/knowledge-and-innovation/managing-urban-processes-intelligently-with-the-amsterdam-smart-city-dashboard/

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Data recently acquired from a public records request submitted to the PA Department of Insurance. Data provides aggregate statistics pertaining to health insurer claims denial data from 2020 and 2021 plan years.
Data:
https://repos.persius.org/public-records/data/claims_denials/pa/readme.html
Associated release notes:
https://blog.persius.org/blog/pa-data-release

Last night Cybersyn added 13Fs and OpenFigi IDs to Snowflake Marketplace.
You can leverage 13Fs to track institutional investors’ securities holdings and OpenFigi IDs (financial instrument global identifiers) to facilitate easier mapping of securities across data sources.
This release builds on the 8-K, 10-K, & 10-Q reports and attached exhibits originally available in Cybersyn SEC Filings.

Looking for ideas and data set for a data-driven healthcare project for my upcoming semester. I was considering the blood bank supply chain, but it seems to have been explored already. Any fresh suggestions or recommendations would be greatly appreciated!

I’d like a dataset with columns for the name of the bill introduced, date introduced, title, subject, number of co-sponsors, etc.

I want to analyze (in R) congressional action related to Taiwan, so I hope to get a dataset of bills from, say, the last 5-10 congresses and evaluate how many were passed, what share had bipartisan support, and temporal trends.

I’ve researched a couple options but have tun into problems with both:

ProPublicaR Congress API — I have the API working in R, but its functions return lists, the function it suggests to turn the output into a data frame returns an error: “no method for [function] applied to an object of class list”. I’m also unsure how comprehensive the data is from this source.

GovInfo bulk data — this site has data on congressional bills, but the bills come in individual XML files and I don’t know how to get those into R (and then into a format in which I can analyze the bills as I described above)

Thanks!

Hello All;

I am looking for any canadian dataset to create a beautiful visualization out of it in tableau

I’m looking for a way to get up-to-date information about large, in-person events happening today or in the near future (hundreds to thousands of attendees), e.g. concerts, festivals/fairs, conferences, sports, etc.

Ideally, the dataset provides simple information, like the time the event starts & ends, and the location of the event. Events could be global, but would be best if it focused on US and/or English-speaking countries.

I’m looking for a source with all known database error codes + descriptions, be it Postgres, MySQL, SQL Server, Azure, Mongodb, etc.

Thank you 🙏

I am looking for a dataset that has information on if a drug got approved or not and various features about the drug, like the disease area it targets, how long it was in development for, the company that developed it, etc.

It doesn’t have to be these exact characteristics. Something similar would be very useful!

I am curious if there is a public dataset built from speedtest or game hosting or other similar data that provides best- and average- case latency from certain (US) geographies and service providers to datacenters.

I’d also be interested in an aggregated report built from that data.

I am looking for a dataset composed from an OpenTelemetry stream to try and detect anomalous behaviors.

Anyone has any ideas? <3

I’m looking for a recommendation system dataset tracking interaction data that both lists interaction timestamps and non-anonymized song names. I assumed finding one would be almost trivial, but all of the ones I’ve looked into so far lack one or both of these attributes.

Are any of you aware of such a dataset?

Does anyone know of a dataset (or multiples) that I can use to break down the consumption of warm beverages in the United States by demographics, particularly age/generation? I want to identify if coffee or tea is preferred among those 45 and younger.

Just a disclaimer, I have zero experience dealing with data and stuff, so please bear with me.

Let’s say I want a list of all plumbing companies in my state. I want the name of their company, e-mail address, phone number, and general location. If this is too much, just their e-mail address is fine. Currently, I’ve been going to each and every business’s website and copying and pasting their contact information and general location. The problem is that doing it this way is that it takes forever. I wonder if there is a better approach or tool I can use to save time and achieve the same goal. Please let me know, thank you.

I’ve got roughly 1M companies, 700k deals and 40k investors, all datasets with all de available fields.

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Mostly US and EU, but also other geos. Ping me if interested.

Hello!

I am writing my master thesis in finance and need to find datasets. Preferably i need information for the last ~ 30 years about mutual fund performance, size and age. Any other information about them is also valued. I am hoping to find a large dataset containing funds from different countries, hopefully withouth having to gather each fund individually. Mainly i am interested in EU/Nordic funds. Can anyone help/ point me in the right direction?

My school gives me access to:

Compustat

CRSP

Bloomberg terminals

(possibly others, so please suggest and i can check)

But I have not been trained in using these at all. Any guides to using these databases or direct help is extremely appriciated!

With the Rugby World Cup just around the corner, I’m diving deep into the world of rugby analytics and data. I’m on the hunt for extensive datasets that encompass:

Team Information: Detailed profiles, players, historical matches, and any notable events. Player Information: Career statistics, past games played, performance metrics, and other relevant statistics. Unique Insights: Unconventional data or any other cool tidbits related to rugby.

While I’ve stumbled upon a dataset on Kaggle detailing the International Rugby Union results from 1871-2023, I’m eager to explore more comprehensive and in-depth datasets.

If anyone has come across any resource or can point me in the right direction, I’d be immensely grateful. Let’s gear up for an informed Rugby World Cup experience!

I am trying to find data on the number of casualties over time during World War 2: how are deaths distributed over the course of the war? The closest data I could find is for Italy only, but I am interested in the combined, world-wide deaths over time.

Ideally, I am looking for the number of deaths per month over the course of the war. It would be less ideal, but still ok, to have data at lower frequency.

Does anyone know if there is such data somewhere? If not, I could estimate these numbers by calculating the excess deaths over that time period. Any thoughts on that? Thanks!

Hi r/datasets! I’m looking for an AZ real estate dataset from recent years that contains any or all of the following attributes:

Price: The selling or listing price of the property. Size: Total square footage or square meters of the property. Bedrooms: Number of bedrooms. Bathrooms: Number of bathrooms. Property Type: e.g., Single-family, condo, townhouse. Year Built: The year the property was constructed. City: City where the property is located. ZIP Code: ZIP or postal code of the property. Days on Market: Number of days the property has been listed on the market.

Is scraping Zillow the best option? Would appreciate any advice, thanks!

Hi,

I’m looking for use online behavior dataset, different websites people visiting, annonymized dataset.

Either public dataset or I can pay for it. Any pointers from where I can get such data.

Ya que moi a croire que ENTSOG est un grand Mensonge.. les données sont la plupart du temps erronées et en les analysant ya toujours des problèmes .. comparant à d’autres sources officielles…

I’m working on an ML project to find the cheapest ticket prices based on airlines but haven’t been able to secure any datasets. Any help is appreciated. Thank you

I’m currently searching for a dataset on the reading speed of persons with dyslexia. I try to find out what letters or letter combinations cause the most problems during reading.

Ideal would be a dataset of a text that has been copied by dyslexic people. (so source text and the same text written by multiple dyslexic people) or a dataset with sample sentences and time required to read them.

I know this is very specific, so suggestions on alternative data sources that I might infer this information from are also very welcome!

Hello everyone, to pass time during my extra long summer break before starting college I decided to learn SQL through scraping and storing data from LinkedIn. Yesterday, I dumped all the data I collected to Kaggle in a csv format. It contains 27 columns in addition to several detached files containing info such as the benefits, industries, skills associated with each job (that’s right, I discovered what data table normalization is). There’s also a separate folder containing company information (name, desciption, size, employee_count, follower_count, industries).

I plan to run the collection script again next month, allowing for further analysis of trends such as company growth, salary changes, and job demand. Also if anyone wants, I can potentially share the scraper code on GitHub, although keep in mind you may get banned (especially with new accounts).

These are the columns of the main file:

[‘job_id’, ‘company_id’, ‘title’, ‘description’, ‘max_salary’, ‘med_salary’, ‘min_salary’, ‘pay_period’, ‘formatted_work_type’, ‘location’, ‘applies’, ‘original_listed_time’, ‘remote_allowed’, ‘views’,’job_posting_url’, ‘application_url’, ‘application_type’, ‘expiry’, ‘closed_time’, ‘formatted_experience_level’, ‘skills_desc’, ‘listed_time’, ‘posting_domain’, ‘sponsored’, ‘work_type’, ‘currency’, ‘compensation_type’]

Here’s the link to the dataset:

https://www.kaggle.com/datasets/arshkon/linkedin-job-postings