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4

Based on their FAQ https://www.neighborhoodatlas.medicine.wisc.edu/ it looks like they are using 2009-2013 American Community Survey data. In which case, it is best to use the 2013 version of the block group shapefiles from the US Census Bureau, per https://www2.census.gov/geo/pdfs/maps-data/data/tiger/How_do_I_choose_TIGER_vintage.pdf For ACS data, use ...


4

Cool question and nice map... I did a reverse image search and found a blog post from 2011, the same year as the map's creation, which has lots of technical details: https://www.digitalcommonwealth.org/search/commonwealth:7h149v32x Title: 1630 shoreline Creator: Metropolitan Planning Organization (Mass.). Central Transportation Planning Staff. ...


3

I assume you've already found averages at Current Employment Statistics, FactFinder, or the American Time-Use Survey. I don't see any percentiles there. I don't know of any ready-made tables from BLS or Census that include percentiles for hours worked, so unfortunately you will probably need to create your own tabulation using microdata from CPS PUMS or ...


3

Those are the HU-2 (2-digit Hydrologic Units) boundaries from the national Watershed Boundary Dataset (WBD). Sometimes you'll see them referred to as HUC-2 instead of HU-2 (HUC = Hydrologic Unit Code). It should be possible to download this data for the entire continental US as a single dataset. However... It's very easy to get the metadata for this ...


2

The "2018 CCRPI Data Report" PDF report from https://www.atlantapublicschools.us has tabular data quantifying schools. You can easily copy/paste to Excel or similar tool. You'd need still to map these schools, but since there are not thousands, you could do so manually, or with a geocoding API. You can also consider filing a FOIA request to https://www....


2

Wikipedia has a List of North American settlements by year of foundation, formatted as a sortable table. You can sort this list by country, and copy-paste the United States section into a spreadsheet. This data set contains the following fields: Year founded Name of settlement Subdivision (state or province) Country It does not have lat/long coordinates. ...


2

This document from fda.gov (saved via the Wayback Machine) states: This clinical study was compiled using Sinclair Wound and Skin Emulsion product as submitted in 510(k) # K024367. Atopiclair" is the working name for Sinclair Wound and Skin Emulsion in this study. Searching fda.gov for the working name provides some results I could be wrong about ...


2

Thanks to everyone who gave it a try, both those who confirmed the problem, and those who have been more successful. I have tried it this morning from home (as opposed to work, again in Belgium), and everything worked just fine. I wonder what caused the problem. I sent them an email yesterday explaining the issue. Maybe they put together a quick fix. I ...


2

You asked for a shapefile of the Boston harbor shoreline for 1630. However, what seems to be available from that era is mostly raster images of maps. So you will probably need to digitize the shoreline yourself from a georeferenced image. In addition to the original map (provided in philshem's answer), there are many different sources of historical maps. ...


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Update (May 2019): Check this new release: https://smoosavi.org/datasets/us_accidents. It contains more than 2.25 million traffic accident records which took place within the US, and will be periodically updated. The following dataset is recently released and will be periodically updated: https://smoosavi.org/datasets/2019_traffic_weather_events It covers ...


1

If you have a handful of stadiums and arenas only, then you might find a list online that suffices. For example, from Wikipedia global or US only. If you need wider coverage, and also for many types of buildings, consider the following two options: Option 1: Wikidata, with as an example some variation of arena (Q641226) and maximum capacity (P1083) ...


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sec-api (https://sec-api.io) provides an API to search filings on SEC EDGAR by CIK, ticker, company name, form type and filings date. Query API give me all form 4 filings for GE between dates X and Y The JSON query for your use case looks like this. { "query": { "query_string": { "query": "cik:40545 AND filedAt:{2016-01-01 TO ...


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Here's a number of options: ISO 3166-2 subdivisions JSON ISO 3166-1 country lists merged w/ UN Geoscheme regional codes in JSON, XML, CSV ISO 3166-2 NPM Package CSV of ISO 3166-2 List of all countries with their 2 digit codes (ISO 3166-1) Linked ISO 3166-2 Data Wikipedia


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Not yet; the FBI announced they will launch one in 2019-01. There are a number of fourth estate/civic activist databases, but no authoritative, government database, that I am aware of.


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Here's two you can piece together: Agency Participation Data in FBI NIBRS from FBI Crime Data Explorer (not open) Directory of Law Enforcement Agencies, 1996: [United States] (ICPSR 2260)


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I was actually using the wrong format for date. It should be something like this: records = c.get(agency_name=o['name'], last_modified_date="["+str(next_date)+","+str(next_date)+"]") or records = c.get(agency_name=o['name'], last_modified_date="[2018/12/17,2018/12/21]")


1

I'd read the Wikipedia article, but seeing the chart blown up in philshem's answer sent me looking for the data source, which luckily is linked in the image attribution. Renewables and emissions reports on CAISO's market operations site includes a *.txt file with hourly generation data by day for all renewable energy sources in the state, going back to 4/...


1

Exact hourly solar/PV production will be with the grid operator, and if you have an academic/NGO credentials, maybe they can make you a 1-time export. I don't know California, but I've worked in the energy sector and because there is energy trading between stakeholders, no one is really eager to make open data. The grid operator may not even have total ...


1

There is a program designed to prevent accidental destruction of buried utilities, which has made the effort to provide data about underground utilities to the public. This is the "Call before you dig" (http://call811.com/) program. Each state has it's own version of the "call before you dig" program. This free program will send a person out to a planned dig ...


1

Two things spring to mind. Unfortunately these are building footprint datasets, so they mostly won't include building heights. There are ways around this at smaller scales, you could do zonal statistics on a digital surface model for example. But I'm unsure how to proceed for an area as large as you're seeking. First off is Digital Globe's building ...


1

Not per state, but here's the US consumption with various categories (on-highway, farm, etc) https://www.researchgate.net/figure/Historical-diesel-consumption-in-the-United-States-Farm-includes-agricultural-diesel_fig1_317730686 source: https://www.researchgate.net/publication/317730686_Trends_and_Hybridization_Factor_for_Heavy-Duty_Working_Vehicles


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No, realtors and real estate professionals typically covet their data and are very unwilling to share. To that point, my experience with the industry allows me to say that if these shapefiles did exist, they would be outdated almost immediately because people in the industry create new neighborhoods to make sales. To your question, what is in a real estate ...


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it's not the US, but maybe interesting for others: Switzerland (official) cellular data/maps GSM: https://data.geo.admin.ch/ch.bakom.mobil-antennenstandorte-gsm/ LTE: https://data.geo.admin.ch/ch.bakom.mobil-antennenstandorte-lte/ UMTS: https://data.geo.admin.ch/ch.bakom.mobil-antennenstandorte-umts/


1

For a really broad answer, you can use Wikidata via a Sparql query on the property "Academic Major". From my quick query, I think the data would need to be cleaned up a bit, and also made specific to US programs in your use.


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I found this in my own searches: http://archive.ics.uci.edu/ml/datasets/tv+news+channel+commercial+detection+dataset It's nearly 130,000 instances labeled TV or Commercial.


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It seems that there is no federal level aggregation of foreclosures that is at the zip code or state level. But if you narrow your query, you can find municipality or regional datasets. Here are some quick examples from an internet search: Connecticut, per municipality (2008-2016) Los Angeles, per property (single years), with APN! etc


1

The USA Census has a surname dataset (162,253 names, CSV/Excel export) which may be useful to get started. https://www.census.gov/topics/population/genealogy/data/2010_surnames.html "Name" "Number Of Occurrences" Smith 2,442,977 Johnson 1,932,812 Williams 1,625,252 Brown 1,437,026 Jones 1,425,470 Garcia 1,166,120 Miller 1,161,437 Davis 1,...


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The LEHD program of the Census Bureau publishes crosswalks which map every Census Block to a number of other geography types, including ZCTA and CBSA. You could download one of these crosswalks, filter out just the columns for ZCTA and CBSA, and then take the unique rows -- then for each ZCTA, you would see which CBSA it is in. Note, however, that a few ...


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Kaggle hosts the Homicide Reports dataset The Murder Accountability Project is the most complete database of homicides in the United States currently available. This dataset includes murders from the FBI's Supplementary Homicide Report from 1976 to the present and Freedom of Information Act data on more than 22,000 homicides that were not reported to the ...


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It seems data.gov has only regional boat launches, so if you need something larger (but less complete), check out OpenStreetMaps data. In particular, the tag leisure=slipway. You can use the Overpass Turbo visual API to check out coverage of the tag, for example, this query (click "Run"). Check out this answer for downloading bulk OSM files, filtering for ...


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