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samples.json
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samples.json
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[
{
"id": "world_flights",
"label": "All the Flights in the World",
"queryType": "sample",
"imageUrl": "https://s3.amazonaws.com/uber-static/kepler.gl/sample/world_flight_s.png",
"description": "Two hours of flight data collected by OpenSky Network on September 3rd 2019",
"detail": "The dataset contains two hours of flight data collected using the live API of [OpenSky Network](https://opensky-network.org). The color of the flights is based on country of origin. 18 thousands flights are recorded during the two hour period. The path drops over the seas due to lack of satellite coverage. Airline info is added to each flight by joining with data from [airlinecodes.co.uk](http://www.airlinecodes.co.uk/callsignres.asp?callsign=&submit=Submit)",
"size": 12938,
"visible": true,
"dataUrl": "https://raw.githubusercontent.com/keplergl/kepler.gl-data/master/world_flights/world_flights_soei4h.json",
"configUrl": "https://raw.githubusercontent.com/keplergl/kepler.gl-data/master/world_flights/config_soei4h.json"
},
{
"id": "earthquakes",
"label": "California Earthquakes",
"queryType": "sample",
"imageUrl": "https://s3.amazonaws.com/uber-static/kepler.gl/sample/earthquakes.png",
"description": "Location, magnitude and type of 2.5+ magnitude earthquakes in california.",
"detail": "The dataset contains a list of 2.5+ magnitude earthquakes in california. Information was generated using USGS website and contains multiple properties (location, magnitude, magtype) for each single entry. Data source: [USGS](https://earthquake.usgs.gov/data/data.php)",
"size": 54936,
"visible": true,
"dataUrl": "https://raw.githubusercontent.com/keplergl/kepler.gl-data/master/earthquakes/data.csv",
"configUrl": "https://raw.githubusercontent.com/keplergl/kepler.gl-data/master/earthquakes/config.json"
},
{
"id": "nyctrips",
"label": "NYC Taxi Trips",
"queryType": "sample",
"imageUrl": "https://s3.amazonaws.com/uber-static/kepler.gl/sample/nyctrips.png",
"description": "A small sample of yellow and green taxi trip records in New York City.",
"detail": "The yellow and green taxi trip records include fields capturing pick-up and drop-off dates/times, pick-up and drop-off locations, trip distances, itemized fares, rate types, payment types, and driver-reported passenger counts. Data is downloaded from [NYC Taxi and Limousine Commission (TLC)](https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page) website.",
"size": 97986,
"visible": true,
"dataUrl": "https://raw.githubusercontent.com/keplergl/kepler.gl-data/master/nyctrips/data.csv",
"configUrl": "https://raw.githubusercontent.com/keplergl/kepler.gl-data/master/nyctrips/config.json"
},
{
"id": "sfcontour",
"label": "San Francisco Elevation Contour",
"queryType": "sample",
"imageUrl": "https://s3.amazonaws.com/uber-static/kepler.gl/sample/sfcontour.png",
"description": "Elevation contours of San Francisco mainland and Treasure Island/Yerba Island.",
"detail": "This dataset contains elevation contours for San Francisco mainland and Treasure Island/Yerba Island. Based on San Francisco Elevation Datum. Data source: [DataSF](https://data.sfgov.org/City-Infrastructure/Street-Tree-List/tkzw-k3nq/data).",
"size": 13598,
"visible": true,
"dataUrl": "https://raw.githubusercontent.com/keplergl/kepler.gl-data/master/sfcontour/data.json",
"configUrl": "https://raw.githubusercontent.com/keplergl/kepler.gl-data/master/sfcontour/config.json"
},
{
"id": "nyc_census",
"label": "New York City Population by Census Tract",
"queryType": "sample",
"imageUrl": "https://s3.amazonaws.com/uber-static/kepler.gl/sample/nyc_census.png",
"description": "This dataset contains the 2010 Census tract population data of NYC.",
"detail": "This dataset contains the 2010 Census tract map from [NYC Open Data](https://data.cityofnewyork.us/City-Government/2010-Census-Tracts/fxpq-c8ku/data), joined with [population](https://data.cityofnewyork.us/City-Government/New-York-City-Population-By-Census-Tracts/37cg-gxjd).",
"size": 2166,
"dataUrl": "https://raw.githubusercontent.com/keplergl/kepler.gl-data/master/nyc_census/data.json",
"configUrl": "https://raw.githubusercontent.com/keplergl/kepler.gl-data/master/nyc_census/config.json"
},
{
"id": "sftrees",
"label": "San Francisco Street Tree Map",
"queryType": "sample",
"imageUrl": "https://s3.amazonaws.com/uber-static/kepler.gl/sample/sftrees.png",
"description": "A 3d hexbin density map showing every single streets in San Francisco",
"detail": "This dataset contains a list of dpw maintained street trees including planting date, species and location. Data source: [DataSF](https://data.sfgov.org/City-Infrastructure/Street-Tree-List/tkzw-k3nq/data).",
"size": 65499,
"visible": true,
"dataUrl": "https://raw.githubusercontent.com/keplergl/kepler.gl-data/master/sftrees/data.csv",
"configUrl": "https://raw.githubusercontent.com/keplergl/kepler.gl-data/master/sftrees/config.json"
},
{
"id": "ukcommute",
"label": "Commute Pattern in England and Wales",
"queryType": "sample",
"imageUrl": "https://s3.amazonaws.com/uber-static/kepler.gl/sample/ukcommute.png",
"description": "A origin destination map using 3d arcs to show commute patterns of England and Wales residence",
"detail": "This dataset shows location of residence and place of work, based on 2011 Census of residence of England and Wales. The data classifies people currently resident in each middle layer super output area, or higher area and shows the movement between their area of residence and workplace. Data source: [Nomis](https://www.nomisweb.co.uk/census/2011/wu03uk/chart)",
"size": 679643,
"visible": true,
"dataUrl": "https://raw.githubusercontent.com/keplergl/kepler.gl-data/master/ukcommute/data.csv",
"configUrl": "https://raw.githubusercontent.com/keplergl/kepler.gl-data/master/ukcommute/config.json"
},
{
"id": "la_assessorparcels",
"label": "$2+ Million Homes Built in Los Angeles Since 2006",
"queryType": "sample",
"imageUrl": "https://s3.amazonaws.com/uber-static/kepler.gl/sample/la_assessorparcels.png",
"description": "Map showing new homes valued over $2,000,000 built in Los Angeles county since 2006",
"detail": "This dataset contains Valuation and property description for parcels on the Assessor's annual secured assessment rolls 2006 through 2017. This dataset excludes Cross Reference Rolls (89xx-series AssessorID). Data source: [County of Los Angeles Open Data](https://data.lacounty.gov/Parcel-/Assessor-Parcels-Data-2006-thru-2019/9trm-uz8i)",
"size": 284554,
"visible": true,
"dataUrl": "https://raw.githubusercontent.com/keplergl/kepler.gl-data/master/la_assessorparcels/data.csv",
"configUrl": "https://raw.githubusercontent.com/keplergl/kepler.gl-data/master/la_assessorparcels/config.json"
},
{
"id": "movement_pittsburgh",
"label": "Travel Times From Uber Movement",
"queryType": "sample",
"imageUrl": "https://s3.amazonaws.com/uber-static/kepler.gl/sample/movement-pittsburgh.png",
"description": "Pittsburgh travel times before and during heavy inclement weather conditions",
"detail": "Uber Movement provides free and public access to travel times data derived from billions of Uber trips. Data is available under a Creative Commons Noncommercial Attribution License. Data source: [Uber Movement](https://movement.uber.com)",
"size": 793,
"visible": true,
"dataUrl": "https://raw.githubusercontent.com/keplergl/kepler.gl-data/master/movement_pittsburgh/data.csv",
"configUrl": "https://raw.githubusercontent.com/keplergl/kepler.gl-data/master/movement_pittsburgh/config.json"
},
{
"id": "county_unemployment",
"label": "2017 Unemployment Rates for U.S. Counties",
"queryType": "sample",
"imageUrl": "https://s3.amazonaws.com/uber-static/kepler.gl/sample/counties-unemployment.png",
"description": "2017 Labor force information for U.S. Counties",
"detail": " This dataset contains 2017 labor force information from the [Bureau of Labor Statistics](https://www.bls.gov/lau/#tables) joined with county shapefiles from the [Census Bureau](https://www.census.gov/geo/maps-data/data/cbf/cbf_counties.html).",
"size": 3220,
"visible": true,
"dataUrl": "https://raw.githubusercontent.com/keplergl/kepler.gl-data/master/county_unemployment/data.geojson",
"configUrl": "https://raw.githubusercontent.com/keplergl/kepler.gl-data/master/county_unemployment/config.json"
},
{
"id": "usdot",
"label": "2018 Uber USDOT",
"queryType": "sample",
"imageUrl": "https://s3.amazonaws.com/uber-static/kepler.gl/usdot/counties-unemployment.png",
"description": "2017 Labor force information for U.S. Counties",
"visible": false,
"keplergl": "https://raw.githubusercontent.com/keplergl/kepler.gl-data/master/usdot/keplergl.json"
},
{
"id": "nyc_earnings",
"label": "Block-level Earnings New York City (GeoArrow)",
"queryType": "sample",
"imageUrl": "https://raw.githubusercontent.com/keplergl/kepler.gl-data/master/nyc_earnings/nyc-earnings.png",
"description": "Block-level Earnings New York City (2002-14) from Longitudinal Employer-Household Dynamics (LEHD). Geographic units: 2010 Census blocks.",
"detail": " This GeoArrow dataset contains block-level earnings data of New York City from 2002 to 2014. The map is a Quantile map based on the total number of jobs in year 2000-2002. Data is prepared by [the Center for Spatial Data Science at University of Chicago](https://spatial.uchicago.edu). Data source [page](https://geodacenter.github.io/data-and-lab/LEHD_Data/).",
"size": 108487,
"visible": true,
"dataUrl": "https://raw.githubusercontent.com/keplergl/kepler.gl-data/master/nyc_earnings/data.arrow",
"configUrl": "https://raw.githubusercontent.com/keplergl/kepler.gl-data/master/nyc_earnings/config.json"
}
]