![\"\"](\"https://i.ibb.co/syzVd57/asdd.jpg\")
Most of the sites can be reliably identified by searching for 'square feet' and 'year built' numbers.
\n\nBelow is the summary of my findings so far. Certain sites highlighted in bold, followed by URLs of the supporting data sources. These sources contain multiple matches each allowing to attribute the site with certainty. In some cases additional info on buildings available, including name and full address.
\n\n0: Orlando, FL\n https://www.oeis.ucf.edu/buildings
\n\n1: UK. Most likely Southampton\nbased on appearance of several buildings in Building Data Genome Project Database and mention of Southampton University as data source in the [related article of Miller, Meggers] (http://www.sciencedirect.com/science/article/pii/S1876610217330047)
\n\n2: Tempe, Arizona \n https://www.asu.edu/purchasing/bids/pdfs/231906_ex_6A.pdf
\n\n\n\n4: US/Pacific Time zone Most likely Berkeley / San Francisco
\n\n5: UK based on appearance in Building Data Genome
\n\n6: US/Eastern Timezone based on appearance in Building Data Genome
\n\n7: Montreal/Ottawa suspected based on patrick0302 post
\n\n8: Orlando, FL same as Site 3 - weather data correlates perfectly\nalso Site 8 buildings are found here
\n\n9: Austin, TX\n http://www.thecb.state.tx.us/reports/xls/7559.xlsx
\n\n10: US/Mountain Time Zone suspected
\n\n11: Montreal/Ottawa. same as Site 7 - weather data correlates perfectly
\n\n12: Ireland suspected based on holidays analysis
\n\n13: TwinCities, MN\nhttps://mn.b3benchmarking.com/Report?OrganizationID=1337&ReturnTo=Higher+Education
\n\n14: Charlottesville, VA\nhttps://www.fm.virginia.edu/docs/conditionReport/2018-19FacilitiesConditionReport.pdf (has year built data)
\n\n15: US/Eastern Timezone, based on appearance in Building Data Genome
\n\nThese findings correlate pretty well with those based on time zone shift and climate matching.
", "messages": [ { "id": "665150", "postDate": "11/04/2019 17:18:02", "content": "Most of the sites can be reliably identified by searching for 'square feet' and 'year built' numbers.
\n\nBelow is the summary of my findings so far. Certain sites highlighted in bold, followed by URLs of the supporting data sources. These sources contain multiple matches each allowing to attribute the site with certainty. In some cases additional info on buildings available, including name and full address.
\n\n0: Orlando, FL\n https://www.oeis.ucf.edu/buildings
\n\n1: UK. Most likely Southampton\nbased on appearance of several buildings in Building Data Genome Project Database and mention of Southampton University as data source in the [related article of Miller, Meggers] (http://www.sciencedirect.com/science/article/pii/S1876610217330047)
\n\n2: Tempe, Arizona \n https://www.asu.edu/purchasing/bids/pdfs/231906_ex_6A.pdf
\n\n\n\n4: US/Pacific Time zone Most likely Berkeley / San Francisco
\n\n5: UK based on appearance in Building Data Genome
\n\n6: US/Eastern Timezone based on appearance in Building Data Genome
\n\n7: Montreal/Ottawa suspected based on patrick0302 post
\n\n8: Orlando, FL same as Site 3 - weather data correlates perfectly\nalso Site 8 buildings are found here
\n\n9: Austin, TX\n http://www.thecb.state.tx.us/reports/xls/7559.xlsx
\n\n10: US/Mountain Time Zone suspected
\n\n11: Montreal/Ottawa. same as Site 7 - weather data correlates perfectly
\n\n12: Ireland suspected based on holidays analysis
\n\n13: TwinCities, MN\nhttps://mn.b3benchmarking.com/Report?OrganizationID=1337&ReturnTo=Higher+Education
\n\n14: Charlottesville, VA\nhttps://www.fm.virginia.edu/docs/conditionReport/2018-19FacilitiesConditionReport.pdf (has year built data)
\n\n15: US/Eastern Timezone, based on appearance in Building Data Genome
\n\nThese findings correlate pretty well with those based on time zone shift and climate matching.
", "rawMarkdown": "Most of the sites can be reliably identified by searching for 'square feet' and 'year built' numbers. \n\nBelow is the summary of my findings so far. Certain sites highlighted in bold, followed by URLs of the supporting data sources. These sources contain multiple matches each allowing to attribute the site with certainty. In some cases additional info on buildings available, including name and full address.\n\n**0: Orlando, FL**\n https://www.oeis.ucf.edu/buildings\n\n1: UK. Most likely Southampton\nbased on appearance of several buildings in [Building Data Genome Project Database ](https://github.com/buds-lab/the-building-data-genome-project) and mention of Southampton University as data source in the [related article of Miller, Meggers] (http://www.sciencedirect.com/science/article/pii/S1876610217330047)\n\n**2: Tempe, Arizona** \n https://www.asu.edu/purchasing/bids/pdfs/231906_ex_6A.pdf\n\n**3: DC**\nhttps://dgs.dc.gov/sites/default/files/dc/sites/dgs/service_content/attachments/Attachment%20A-%20Municipal%20Facilities%5b1%5d.pdf\n\n4: US/Pacific Time zone Most likely Berkeley / San Francisco\n\n5: UK based on appearance in Building Data Genome \n\n6: US/Eastern Timezone based on appearance in Building Data Genome\n\n7: Montreal/Ottawa suspected based on [patrick0302 post](https://www.kaggle.com/patrick0302/locate-cities-according-weather-temperature)\n\n**8: Orlando, FL** same as Site 3 - weather data correlates perfectly\nalso Site 8 buildings are found [here](https://www.orlando.gov/files/sharedassets/public/initiatives/bewes/090418_cityoforlando_bldginfo.pdf)\n\n**9: Austin, TX**\n http://www.thecb.state.tx.us/reports/xls/7559.xlsx\n\n10: US/Mountain Time Zone suspected\n\n11: Montreal/Ottawa. same as Site 7 - weather data correlates perfectly\n\n12: Ireland suspected based on holidays analysis\n\n**13: TwinCities, MN**\nhttps://mn.b3benchmarking.com/Report?OrganizationID=1337&ReturnTo=Higher+Education\n\n**14: Charlottesville, VA**\nhttps://www.fm.virginia.edu/docs/conditionReport/2018-19FacilitiesConditionReport.pdf (has year built data)\n\n15: US/Eastern Timezone, based on appearance in Building Data Genome\n\nThese findings correlate pretty well with those based on time zone shift and climate matching.", "votes": null }, { "id": "665223", "postDate": "11/04/2019 18:58:24", "content": "Good info. But should be shared with organisers first. In my opinion any public available data should be excluded from test dataset.
\n\nMy concern is UCF - as meter readings are publicity available.
\n\nPredicting that at least public LB will be ruined soon if this data won't be excluded.
", "rawMarkdown": "Good info. But should be shared with organisers first. In my opinion any public available data should be excluded from test dataset.\n\nMy concern is UCF - as meter readings are publicity available. \n\nPredicting that at least public LB will be ruined soon if this data won't be excluded.", "votes": null }, { "id": "665233", "postDate": "11/04/2019 19:10:28", "content": "Summoning @addisonhoward to this thread))
", "rawMarkdown": "Summoning @addisonhoward to this thread))", "votes": null }, { "id": "665239", "postDate": "11/04/2019 19:24:36", "content": "We're aware, not to worry. Just remember to keep the external data thread up to date as needed.
", "rawMarkdown": "We're aware, not to worry. Just remember to keep the external data thread up to date as needed.", "votes": null }, { "id": "665248", "postDate": "11/04/2019 19:39:22", "content": "So site 0 = UCF confirmed?
", "rawMarkdown": "So site 0 = UCF confirmed?", "votes": null }, { "id": "665261", "postDate": "11/04/2019 20:12:36", "content": "Only lb? Private test is also there.
", "rawMarkdown": "Only lb? Private test is also there.", "votes": null }, { "id": "665264", "postDate": "11/04/2019 20:20:06", "content": "Organizers said that there are only 22% of data in private part. Probably all public data is excluded or they may change private set validation methodology as was done in Santander competition (all synthetic data in that case was excluded from validation).
", "rawMarkdown": "Organizers said that there are only 22% of data in private part. Probably all public data is excluded or they may change private set validation methodology as was done in Santander competition (all synthetic data in that case was excluded from validation).", "votes": null }, { "id": "665272", "postDate": "11/04/2019 20:31:48", "content": "I already have a mention in the public info thread but will expand it to mention these sources explicitly.
", "rawMarkdown": "I already have a mention in the public info thread but will expand it to mention these sources explicitly.", "votes": null }, { "id": "665709", "postDate": "11/05/2019 10:03:05", "content": "Corrected Site 11 guess in the first post. Of course this is Montreal/Ottawa area based on weather match.
", "rawMarkdown": "Corrected Site 11 guess in the first post. Of course this is Montreal/Ottawa area based on weather match.", "votes": null }, { "id": "665723", "postDate": "11/05/2019 10:19:35", "content": "
I think all of them except site 8 are universities
", "rawMarkdown": "\n\nI think all of them except site 8 are universities", "votes": null }, { "id": "665801", "postDate": "11/05/2019 12:14:11", "content": "Great job @poedator \nIt's really a shame the organisers are not transparent about the data. It just generates a lot of work for all participants, which is questionably part of data science. Thanks for sharing!
\n\nIf the @kaggleteam actually want to protect their data providers they should use differential privacy.
\n\nNote: I agree with @kyakovlev , site 0 (and any other public available meters) should be removed from the Public and Private LB evaluation.
", "rawMarkdown": "Great job @poedator \nIt's really a shame the organisers are not transparent about the data. It just generates a lot of work for all participants, which is questionably part of data science. Thanks for sharing!\n\nIf the @kaggleteam actually want to protect their data providers they should use [differential privacy](https://en.wikipedia.org/wiki/Differential_privacy).\n\nNote: I agree with @kyakovlev , site 0 (and any other public available meters) should be removed from the Public and Private LB evaluation.", "votes": null }, { "id": "666704", "postDate": "11/06/2019 11:55:48", "content": "\n\n\n1: UK. Most likely Southampton\n The oldes building of University of Southampton was constracted in 1914. Energy consumption of it is open.\n I think site1 is London. It is written in Building Data Genome.
\n
building_id == 111 looks like:\n![\"\"](\"https://upload.wikimedia.org/wikipedia/commons/thumb/d/d5/Rockefeller_Building%2C_UCL.jpg/640px-Rockefeller_Building%2C_UCL.jpg\")
This became a Internet search competition ;D\nThanks for sharing guys!
", "rawMarkdown": "This became a Internet search competition ;D\nThanks for sharing guys!", "votes": null }, { "id": "666928", "postDate": "11/06/2019 16:23:32", "content": "Mike, you may be right, but I was unable to match building 111 (Education, built in 1909, 118338 sq f.) with the Genome database.
\nDo you have the stats for the Rockefeller Building at U College of London?
The older buildings in Southampton may be coming from outside the University of SH. Or Site 1 may be quite large about to include more than 1 city.
", "rawMarkdown": "Mike, you may be right, but I was unable to match building 111 (Education, built in 1909, 118338 sq f.) with the Genome database. \nDo you have the stats for the Rockefeller Building at U College of London?\n\nThe older buildings in Southampton may be coming from outside the University of SH. Or Site 1 may be quite large about to include more than 1 city.", "votes": null }, { "id": "667004", "postDate": "11/06/2019 17:54:55", "content": "I was wrong. The Rockefeller Building at U College of London was built in 1907.
", "rawMarkdown": "I was wrong. The Rockefeller Building at U College of London was built in 1907.", "votes": null }, { "id": "667156", "postDate": "11/06/2019 21:51:36", "content": "![\"\"](\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F3556110%2F93584165e68f0f6ed62f558b618e51ed%2F1.jpg?generation=1573077093057694&alt=media\")
This looks like a very possible match. It is one of those that I mention in the initial post. Note, however, that Europe/London is not a location but a time zone, so the question of identifying the specific location in UK is still open.
Hi guys, I'm late to the party but thanks for the great detective work 🕵️
\n\nI've summarised your findings into this CSV file which has the correct codes for applying time zone offsets and holiday lookups with your favorite packages
", "rawMarkdown": "Hi guys, I'm late to the party but thanks for the great detective work 🕵️ \n\nI've summarised your findings into this CSV file which has the correct codes for applying time zone offsets and holiday lookups with your favorite packages", "votes": null }, { "id": "671394", "postDate": "11/12/2019 16:26:53", "content": "I can see that building on my way to work :D
", "rawMarkdown": "I can see that building on my way to work :D", "votes": null }, { "id": "672844", "postDate": "11/14/2019 08:18:30", "content": "Hi Poe Dator,
\n\nwhich buildings could you identify in 3? I just checked about 10 of the buildings but found none of them in the pdf.
\n\n\n\nIs this really a excel sheet that has been printed and scanned as an image afterwards? \nThat's really extremely odd :-(
\n\nEDIT: ok got some matches, it really looks like a perfect match because also the facility description matches, so it's unlikely it's just a coincidence.
", "rawMarkdown": "Hi Poe Dator, \n\nwhich buildings could you identify in 3? I just checked about 10 of the buildings but found none of them in the pdf.\n\n> **3: DC**\n> https://dgs.dc.gov/sites/default/files/dc/sites/dgs/service_content/attachments/Attachment%20A-%20Municipal%20Facilities%5b1%5d.pdf\n\nIs this really a excel sheet that has been printed and scanned as an image afterwards? \nThat's really extremely odd :-(\n\nEDIT: ok got some matches, it really looks like a perfect match because also the facility description matches, so it's unlikely it's just a coincidence.", "votes": null }, { "id": "673244", "postDate": "11/14/2019 17:58:59", "content": "Site 2 data leak / https://cm.asu.edu/
", "rawMarkdown": "Site 2 data leak / https://cm.asu.edu/", "votes": null }, { "id": "674237", "postDate": "11/16/2019 04:00:14", "content": "I created a dataset with the findings of this thread and various other threads. You can import it into your kernels now! I will only change the locations if there's a confirmation from building data that we have the exact location correct. Otherwise I consider these \"good-enough\". I'm planning on making a dataset for when daylight savings starts and ends soon, but I need more time for that one.
", "rawMarkdown": "I created [a dataset](https://www.kaggle.com/robroseknows/ashrae-cities-and-timezones) with the findings of this thread and various other threads. You can import it into your kernels now! I will only change the locations if there's a confirmation from building data that we have the exact location correct. Otherwise I consider these \"good-enough\". I'm planning on making a dataset for when daylight savings starts and ends soon, but I need more time for that one.", "votes": null } ], "comments": [ { "id": 665223, "author_name": "kyakovlev", "author_url": "", "post_date": "11/04/2019 18:58:24", "content": "Good info. But should be shared with organisers first. In my opinion any public available data should be excluded from test dataset.
\n\nMy concern is UCF - as meter readings are publicity available.
\n\nPredicting that at least public LB will be ruined soon if this data won't be excluded.
", "votes": null, "replies": [ { "id": 665233, "author_name": "kyakovlev", "author_url": "", "post_date": "11/04/2019 19:10:28", "content": "Summoning @addisonhoward to this thread))
", "votes": null, "replies": [] }, { "id": 665239, "author_name": "sohier", "author_url": "", "post_date": "11/04/2019 19:24:36", "content": "We're aware, not to worry. Just remember to keep the external data thread up to date as needed.
", "votes": null, "replies": [] }, { "id": 665248, "author_name": "gunesevitan", "author_url": "", "post_date": "11/04/2019 19:39:22", "content": "So site 0 = UCF confirmed?
", "votes": null, "replies": [] }, { "id": 665261, "author_name": "oleg90777", "author_url": "", "post_date": "11/04/2019 20:12:36", "content": "Only lb? Private test is also there.
", "votes": null, "replies": [] }, { "id": 665264, "author_name": "kyakovlev", "author_url": "", "post_date": "11/04/2019 20:20:06", "content": "Organizers said that there are only 22% of data in private part. Probably all public data is excluded or they may change private set validation methodology as was done in Santander competition (all synthetic data in that case was excluded from validation).
", "votes": null, "replies": [] }, { "id": 665272, "author_name": "poedator", "author_url": "", "post_date": "11/04/2019 20:31:48", "content": "I already have a mention in the public info thread but will expand it to mention these sources explicitly.
", "votes": null, "replies": [] } ] }, { "id": 665709, "author_name": "poedator", "author_url": "", "post_date": "11/05/2019 10:03:05", "content": "Corrected Site 11 guess in the first post. Of course this is Montreal/Ottawa area based on weather match.
", "votes": null, "replies": [] }, { "id": 665723, "author_name": "gunesevitan", "author_url": "", "post_date": "11/05/2019 10:19:35", "content": "
I think all of them except site 8 are universities
", "votes": null, "replies": [] }, { "id": 665801, "author_name": "hmendonca", "author_url": "", "post_date": "11/05/2019 12:14:11", "content": "Great job @poedator \nIt's really a shame the organisers are not transparent about the data. It just generates a lot of work for all participants, which is questionably part of data science. Thanks for sharing!
\n\nIf the @kaggleteam actually want to protect their data providers they should use differential privacy.
\n\nNote: I agree with @kyakovlev , site 0 (and any other public available meters) should be removed from the Public and Private LB evaluation.
", "votes": null, "replies": [] }, { "id": 666704, "author_name": "mikev77", "author_url": "", "post_date": "11/06/2019 11:55:48", "content": "\n\n\n1: UK. Most likely Southampton\n The oldes building of University of Southampton was constracted in 1914. Energy consumption of it is open.\n I think site1 is London. It is written in Building Data Genome.
\n
building_id == 111 looks like:\n
This became a Internet search competition ;D\nThanks for sharing guys!
", "votes": null, "replies": [] }, { "id": 666928, "author_name": "poedator", "author_url": "", "post_date": "11/06/2019 16:23:32", "content": "Mike, you may be right, but I was unable to match building 111 (Education, built in 1909, 118338 sq f.) with the Genome database.
\nDo you have the stats for the Rockefeller Building at U College of London?
The older buildings in Southampton may be coming from outside the University of SH. Or Site 1 may be quite large about to include more than 1 city.
", "votes": null, "replies": [] }, { "id": 667004, "author_name": "mikev77", "author_url": "", "post_date": "11/06/2019 17:54:55", "content": "I was wrong. The Rockefeller Building at U College of London was built in 1907.
", "votes": null, "replies": [] }, { "id": 667156, "author_name": "mikev77", "author_url": "", "post_date": "11/06/2019 21:51:36", "content": "
This looks like a very possible match. It is one of those that I mention in the initial post. Note, however, that Europe/London is not a location but a time zone, so the question of identifying the specific location in UK is still open.
I can see that building on my way to work :D
", "votes": null, "replies": [] } ] }, { "id": 670976, "author_name": "anjum48", "author_url": "", "post_date": "11/12/2019 05:26:52", "content": "Hi guys, I'm late to the party but thanks for the great detective work 🕵️
\n\nI've summarised your findings into this CSV file which has the correct codes for applying time zone offsets and holiday lookups with your favorite packages
", "votes": null, "replies": [] }, { "id": 672844, "author_name": "jottbe", "author_url": "", "post_date": "11/14/2019 08:18:30", "content": "Hi Poe Dator,
\n\nwhich buildings could you identify in 3? I just checked about 10 of the buildings but found none of them in the pdf.
\n\n\n\nIs this really a excel sheet that has been printed and scanned as an image afterwards? \nThat's really extremely odd :-(
\n\nEDIT: ok got some matches, it really looks like a perfect match because also the facility description matches, so it's unlikely it's just a coincidence.
", "votes": null, "replies": [] }, { "id": 673244, "author_name": "yeonmin", "author_url": "", "post_date": "11/14/2019 17:58:59", "content": "Site 2 data leak / https://cm.asu.edu/
", "votes": null, "replies": [] }, { "id": 674237, "author_name": "robroseknows", "author_url": "", "post_date": "11/16/2019 04:00:14", "content": "I created a dataset with the findings of this thread and various other threads. You can import it into your kernels now! I will only change the locations if there's a confirmation from building data that we have the exact location correct. Otherwise I consider these \"good-enough\". I'm planning on making a dataset for when daylight savings starts and ends soon, but I need more time for that one.
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "665150": "Most of the sites can be reliably identified by searching for 'square feet' and 'year built' numbers. \n\nBelow is the summary of my findings so far. Certain sites highlighted in bold, followed by URLs of the supporting data sources. These sources contain multiple matches each allowing to attribute the site with certainty. In some cases additional info on buildings available, including name and full address.\n\n**0: Orlando, FL**\n https://www.oeis.ucf.edu/buildings\n\n1: UK. Most likely Southampton\nbased on appearance of several buildings in [Building Data Genome Project Database ](https://github.com/buds-lab/the-building-data-genome-project) and mention of Southampton University as data source in the [related article of Miller, Meggers] (http://www.sciencedirect.com/science/article/pii/S1876610217330047)\n\n**2: Tempe, Arizona** \n https://www.asu.edu/purchasing/bids/pdfs/231906_ex_6A.pdf\n\n**3: DC**\nhttps://dgs.dc.gov/sites/default/files/dc/sites/dgs/service_content/attachments/Attachment%20A-%20Municipal%20Facilities%5b1%5d.pdf\n\n4: US/Pacific Time zone Most likely Berkeley / San Francisco\n\n5: UK based on appearance in Building Data Genome \n\n6: US/Eastern Timezone based on appearance in Building Data Genome\n\n7: Montreal/Ottawa suspected based on [patrick0302 post](https://www.kaggle.com/patrick0302/locate-cities-according-weather-temperature)\n\n**8: Orlando, FL** same as Site 3 - weather data correlates perfectly\nalso Site 8 buildings are found [here](https://www.orlando.gov/files/sharedassets/public/initiatives/bewes/090418_cityoforlando_bldginfo.pdf)\n\n**9: Austin, TX**\n http://www.thecb.state.tx.us/reports/xls/7559.xlsx\n\n10: US/Mountain Time Zone suspected\n\n11: Montreal/Ottawa. same as Site 7 - weather data correlates perfectly\n\n12: Ireland suspected based on holidays analysis\n\n**13: TwinCities, MN**\nhttps://mn.b3benchmarking.com/Report?OrganizationID=1337&ReturnTo=Higher+Education\n\n**14: Charlottesville, VA**\nhttps://www.fm.virginia.edu/docs/conditionReport/2018-19FacilitiesConditionReport.pdf (has year built data)\n\n15: US/Eastern Timezone, based on appearance in Building Data Genome\n\nThese findings correlate pretty well with those based on time zone shift and climate matching.", "665223": "Good info. But should be shared with organisers first. In my opinion any public available data should be excluded from test dataset.\n\nMy concern is UCF - as meter readings are publicity available. \n\nPredicting that at least public LB will be ruined soon if this data won't be excluded.", "665233": "Summoning @addisonhoward to this thread))", "665239": "We're aware, not to worry. Just remember to keep the external data thread up to date as needed.", "665248": "So site 0 = UCF confirmed?", "665261": "Only lb? Private test is also there.", "665264": "Organizers said that there are only 22% of data in private part. Probably all public data is excluded or they may change private set validation methodology as was done in Santander competition (all synthetic data in that case was excluded from validation).", "665272": "I already have a mention in the public info thread but will expand it to mention these sources explicitly.", "665709": "Corrected Site 11 guess in the first post. Of course this is Montreal/Ottawa area based on weather match.", "665723": "\n\nI think all of them except site 8 are universities", "665801": "Great job @poedator \nIt's really a shame the organisers are not transparent about the data. It just generates a lot of work for all participants, which is questionably part of data science. Thanks for sharing!\n\nIf the @kaggleteam actually want to protect their data providers they should use [differential privacy](https://en.wikipedia.org/wiki/Differential_privacy).\n\nNote: I agree with @kyakovlev , site 0 (and any other public available meters) should be removed from the Public and Private LB evaluation.", "666704": ">1: UK. Most likely Southampton\nThe oldes building of University of Southampton was constracted in 1914. Energy consumption of it is open.\nI think site1 is London. It is written in Building Data Genome.\n\nbuilding_id == 111 looks like:\n", "666709": "This became a Internet search competition ;D\nThanks for sharing guys!", "666928": "Mike, you may be right, but I was unable to match building 111 (Education, built in 1909, 118338 sq f.) with the Genome database. \nDo you have the stats for the Rockefeller Building at U College of London?\n\nThe older buildings in Southampton may be coming from outside the University of SH. Or Site 1 may be quite large about to include more than 1 city.", "667004": "I was wrong. The Rockefeller Building at U College of London was built in 1907.", "667156": "", "667385": "This looks like a very possible match. It is one of those that I mention in the initial post. Note, however, that `Europe/London` is not a location but a time zone, so the question of identifying the specific location in UK is still open.", "670976": "Hi guys, I'm late to the party but thanks for the great detective work 🕵️ \n\nI've summarised your findings into this CSV file which has the correct codes for applying time zone offsets and holiday lookups with your favorite packages", "671394": "I can see that building on my way to work :D", "672844": "Hi Poe Dator, \n\nwhich buildings could you identify in 3? I just checked about 10 of the buildings but found none of them in the pdf.\n\n> **3: DC**\n> https://dgs.dc.gov/sites/default/files/dc/sites/dgs/service_content/attachments/Attachment%20A-%20Municipal%20Facilities%5b1%5d.pdf\n\nIs this really a excel sheet that has been printed and scanned as an image afterwards? \nThat's really extremely odd :-(\n\nEDIT: ok got some matches, it really looks like a perfect match because also the facility description matches, so it's unlikely it's just a coincidence.", "673244": "Site 2 data leak / https://cm.asu.edu/", "674237": "I created [a dataset](https://www.kaggle.com/robroseknows/ashrae-cities-and-timezones) with the findings of this thread and various other threads. You can import it into your kernels now! I will only change the locations if there's a confirmation from building data that we have the exact location correct. Otherwise I consider these \"good-enough\". I'm planning on making a dataset for when daylight savings starts and ends soon, but I need more time for that one." }, "source": "meta" }