While the data is only as good as the community contributes, OpenStreetMap (OSM) has some ATM data.
In OSM, points can be tagged with "amenity=atm". You can extract these nodes using these steps:
Download OSM data. This page has a "British isles" extract, among others. This page explains more generally how this kind of data is packaged.
Download and ...
Try https://geovation.uk/data-sources/ for a pretty comprehensive list of links to sources with crime data, retail data, consumer data, transport data and government data.
You can also refer to this list to fill in the gaps on English Heritage data, environment data and Ordnance Survey data.
I hope this helps!
In Scotland specifically, I would suggest that you have a look at:
Statistics.gov.scot - a very decent repository of publicly available data in Scotland, a lot of spatially aggregated.
NOMIS - spatially aggregated labour market data
UK Data Service - vast catalogue of research / survey data
Neigbhourhood Statistics - ONS product with neighbourhood ...
Alex, I looked through the TFL APIs, documentation and datasets. The station list (KML) format indicates it has locations for light rail (DLR), tube and overground. But as you observed there are no entries for overground stations. I also did not find anything on National Rail in the documentation.
I did find some additional resources. Below is the National ...
UPD 2017-11-28. There is an amazing collection of soccer data published openly at Kaggle -- European Soccer Database.
Make sure you check the diverse examples of analysis of this dataset -- the so called kernels.
From the data source description:
What you get:
+10,000 players 11 European Countries with their lead championship
All open data are good, but some are better.
In a colloquial way: open means that everyone can use it, for any purpose. The idea is that you have as few technical, financial and legal barriers as possible.
Quite a popular definition is the one from the OKF:
“A piece of data or content is open if anyone is free to use, reuse, and redistribute it — ...
We're building an open crowdsourced database for uk food products.
We have calories, ingredients, photos.
You can use it and contribute to it as well (and let your user contribute) according to the OdBL licence :-)
https://uk.openfoodfacts.org and https://world.openfoodfacts.org
From this Q&A at GIS SE (Worldwide population density data not grouped by country) (updated by me to reflect link changes):
One of the best gridded data sets is CIESIN's Gridded Population.
See Gridded Population of the World (GPW), v3 for more details. The best resolution is 30 Arc seconds (The global data set has resolution of 2.5 arc minutes - Deer ...
To add to Steven Lee's answer, the entire transaction level dataset from England's Land Registry can be downloaded from the Land Registry site.
This dataset contains every house price from house sales since 1995 and contains both the full postcode, the street name and the street number. If you can handle the entire dataset (~20 million rows) it is not ...
Ordnance Survey as the national mapping agency of the UK should always be your first stop for this sort of data. You need the BoundaryLine dataset which contains modern and historical county boundaries. It is available as a free download from the the OpenData section.
Mastermap topography doesn't tell you much about building use unless it's something significant. On page 29 of the user guide it says
With a few exceptions, for
example, by describing government offices or hypermarkets, no distinction is currently made between
residential, private, public, commercial or industrial buildings.
The Office for National Statistics website is going to be your friend here.
The current Population Estimates Dataset includes (under 'Mid-2016 detailed time series') national and regional population estimates going back to 1838.
For GDP there are several options, so it's probably best to look through the available data by searching the ONS website for '...
OpenStreetMap has it as Waterway.
Data Source (shapefile)
Extract and load into a GIS (QGIS used here).
Extract using the attributes flcass='riverbank' or name='River Thames'
Then dissolve the polygons into one (if required).
FYI a colleague of mine suggested me the following website, where you can find the UK (detailed) river network: https://www.ordnancesurvey.co.uk/business-and-government/products/os-open-rivers.html
On this website there is also a lot more..
The Office for National Statistics Postcode Directory contains:
Regions (Former Government Office Regions - GOR)
The 9 GORs were abolished on 1 April 2011 and are now known as 'regions' for statistical purposes. They were the primary statistical subdivisions of England and also the areas in which the Government Offices for the Regions fulfilled their role. ...
The NERC Airborne Research Facility (https://nerc-arf-dan.pml.ac.uk/) has LiDAR data from 2010 which covers a little of Camden. It is quite a long thin strip, a subset over Camden is shown below.
You need to register for an account at CEDA and then apply for access to the ARSF archive before accessing ...
You can probably use OpenStreetMap (OSM) for this. OSM is a open database of geographical features. OSM features are described by tags, that are combination of key-value pairs.
The entry point to look at the geographical features of OSM is this page: https://wiki.openstreetmap.org/wiki/Map_Features, which describes the major features that are mapped in ...
You can start with http://everypolitician.org, here's a link to the UK data on github.
At Unigraph we've merged everypolitician's with data from Wikidata and Freebase, so you can conveniently query it, for example "get the facebook, twitter and wikidata ids of Adam Holloway, the fb and twitter urls and the party he is member of".
Reach to me for an API ...
You might be interested in http://openpopgrid.geodata.soton.ac.uk/, they used postcodes as a way of differentiating between residential/non-residential buildings, with some limitations, have a look at the manual which you can download.
The best that I have found so far is https://opensky-network.org/ It even offers antonymous access to data, but why not join? The REST API is at https://opensky-network.org/apidoc/rest.html
https://www.adsbexchange.com/data/# offers free for non-commercial use data. However, it requires you to set up alive feed of your own data, to share it with others....
This is not a direct answer, but you could try to extrapolate the data using openstreetmap. As far as I know, the data contains also information about the usage of the building (housing, industrial). Based on the size and the usage you could estimate the energy use of the building. How it is done for the heat demand is described e.g. in this IEEE paper.