Two Access To Opportunity (ATO) scores attempt to convey the localized variation ofa) the Accessibility of Households to Jobs, andb) the Accessibility of Workplaces to Workersfor the Wasatch Front Metro area which includes the Salt Lake City, West Valley, Layton, Ogden, Provo, Orem (Brigham City to Santaquin). Measures are available for auto and transit travel; for projection years 2023, 2032, 2042,and 2050; and are available from the perspective of job seeking households ('a' above) or workplaces seeking employees ('b' above).Field names and descriptions of field values are presented below.When factored together into a composite metric, the result includes both the amount of nearby opportunity for job seekers, and, the pool of nearby workers from which employer locations can draw. To illustrate the difference, residents near I-15 in the Salt Lake City CBD have the highest accessibility of households to jobs, while locations in Taylorsville have the highest accessibility of workplaces to workers. An overall regionwide ATO metric can also be computed representing the number of non-home-based jobs accessible to the average Wasatch Front household. Since this latter metric considers the whole region and is not impacted by localized household and job distribution, the households to jobs and employment locations to household metrics have the same value.The WFRC/MAG model environment uses state of the art software (UrbanSim and Citilabs Cube) calibrated to our region, together with real world data sources including:1) household and job estimates from the University of Utah Gardner Policy Institute2) job locations from the Utah Department of Workforce Services3) local government determined land use and zoning designations4) property valuation from County Assessors, and5) household travel behavior indicators from the Utah Travel Study.Areas within the metropolitan planning area without households or jobs (such as parks or undeveloped land) were excluded when calculating the ATO averages.During the ATO calculations, travel sheds out from each location are determined in a manner consistent with typical commuting travel behavior within the region, as sourced from the 2012 Utah Travel Study (UTS). The ATO job and household totals, as indicated below in the field descriptions, employ a distance decay function that full counts jobs that are immediately nearby and increasingly discounts occurrences that are farther away. The distance decay curve is similarly informed by the 2012 UTS.----------Field Descriptions--------· HH_23 = Count of households estimated within each TAZ in 2023· JOB_23 = Count of non-home-based jobs estimated within each TAZ in 2023· JOBAUTO_23 = Nearby jobs accessible to each TAZ's households, by automobile in 2023 (using an average of AM PM travel costs). A distance decay function is used to fully count jobs nearest the TAZ and discount other jobs more, the further away they are from the TAZ.· HHAUTO_23 = Nearby households accessible to each TAZ's workplaces, by automobile in 2023 (using an average of AM PM travel costs). A distance decay function is used to fully count households nearest the TAZ and discount other households more, the further away they are from the TAZ.· COMPAUTO_23 = Combines the measures in JOBAUTO_19 and HHAUTO_23 into composite ATO score for the TAZ, for automobile travel in 2023. The composite score weights each input according to a jobs/household ratio.· JOBTRANSIT_23 = Nearby jobs accessible to each TAZ's households, by transit in 2023 (using an average of AM PM travel costs). A distance decay function is used to fully count jobs nearest the TAZ and discount other jobs more, the further away they are from the TAZ.· HHTRANSIT_23 = Nearby households accessible to each TAZ's workplaces, by transit in 2023 (using an average of AM PM travel costs). A distance decay function is used to fully count households nearest the TAZ and discount other households more, the further away they are from the TAZ.· COMPTRANSIT_23 = Combines the measures in JOBTRANSIT_23 and HHTRANSIT_23 into composite ATO score for the TAZ, for transit travel in 2023. The composite score weights each input according to a jobs/household ratio.· HH_32 = Count of households estimated within each TAZ in 2032· JOB_32 = Count of non-home-based jobs estimated within each TAZ in 2032· JOBAUTO_32 = Nearby jobs accessible to each TAZ's households, by automobile in 2032 (using an average of AM PM travel costs). A distance decay function is used to fully count jobs nearest the TAZ and discount other jobs more, the further away they are from the TAZ.· HHAUTO_32 = Nearby households accessible to each TAZ's workplaces, by automobile in 2032 (using an average of AM PM travel costs). A distance decay function is used to fully count households nearest the TAZ and discount other households more, the further away they are from the TAZ.· COMPAUTO_32 = Combines the measures in JOBAUTO_32 and HHAUTO_32 into composite ATO score for the TAZ, for automobile travel in 2032. The composite score weights each input according to a jobs/household ratio.· JOBTRANSIT_32 = Nearby jobs accessible to each TAZ's households, by transit in 2032 (using an average of AM PM travel costs). A distance decay function is used to fully count jobs nearest the TAZ and discount other jobs more, the further away they are from the TAZ.· HHTRANSIT_32 = Nearby households accessible to each TAZ's workplaces, by transit in 2032 (using an average of AM PM travel costs). A distance decay function is used to fully count households nearest the TAZ and discount other households more, the further away they are from the TAZ.· COMPTRANSIT_32 = Combines the measures in JOBTRANSIT_32 and HHTRANSIT_32 into composite ATO score for the TAZ, for transit travel in 2032. The composite score weights each input according to a jobs/household ratio.· HH_42 = Count of households estimated within each TAZ in 2042· JOB_42 = Count of non-home-based jobs estimated within each TAZ in 2042· JOBAUTO_42 = Nearby jobs accessible to each TAZ's households, by automobile in 2042 (using an average of AM PM travel costs). A distance decay function is used to fully count jobs nearest the TAZ and discount other jobs more, the further away they are from the TAZ.· HHAUTO_42 = Nearby households accessible to each TAZ's workplaces, by automobile in 2042 (using an average of AM PM travel costs). A distance decay function is used to fully count households nearest the TAZ and discount other households more, the further away they are from the TAZ.· COMPAUTO_42 = Combines the measures in JOBAUTO_42 and HHAUTO_42 into composite ATO score for the TAZ, for automobile travel in 2042. The composite score weights each input according to a jobs/household ratio.· JOBTRANSIT_42 = Nearby jobs accessible to each TAZ's households, by transit in 2042 (using an average of AM PM travel costs). A distance decay function is used to fully count jobs nearest the TAZ and discount other jobs more, the further away they are from the TAZ.· HHTRANSIT_42 = Nearby households accessible to each TAZ's workplaces, by transit in 2042 (using an average of AM PM travel costs). A distance decay function is used to fully count households nearest the TAZ and discount other households more, the further away they are from the TAZ.· COMPTRANSIT_42 = Combines the measures in JOBTRANSIT_42 and HHTRANSIT_42 into composite ATO score for the TAZ, for transit travel in 2042. The composite score weights each input according to a jobs/household ratio.· HH_50 = Count of households estimated within each TAZ in 2050· JOB_50 = Count of non-home-based jobs estimated within each TAZ in 2050· JOBAUTO_50 = Nearby jobs accessible to each TAZ's households, by automobile in 2050 (using an average of AM PM travel costs). A distance decay function is used to fully count jobs nearest the TAZ and discount other jobs more, the further away they are from the TAZ.· HHAUTO_50 = Nearby households accessible to each TAZ's workplaces, by automobile in 2050 (using an average of AM PM travel costs). A distance decay function is used to fully count households nearest the TAZ and discount other households more, the further away they are from the TAZ.· COMPAUTO_50 = Combines the measures in JOBAUTO_50 and HHAUTO_50 into composite ATO score for the TAZ, for automobile travel in 2050. The composite score weights each input according to a jobs/household ratio.· JOBTRANSIT_50 = Nearby jobs accessible to each TAZ's households, by transit in 2050 (using an average of AM PM travel costs). A distance decay function is used to fully count jobs nearest the TAZ and discount other jobs more, the further away they are from the TAZ.· HHTRANSIT_50 = Nearby households accessible to each TAZ's workplaces, by transit in 2050 (using an average of AM PM travel costs). A distance decay function is used to fully count households nearest the TAZ and discount other households more, the further away they are from the TAZ.· COMPTRANSIT_50 = Combines the measures in JOBTRANSIT_50 and HHTRANSIT_50 into composite ATO score for the TAZ, for transit travel in 2050. The composite score weights each input according to a jobs/household ratio.----------

Cost comparison table showing 2023 and 2024 median costs by location

This dataset presents the school zones for single sex schools in Victoria for the year of 2020. All public primary and secondary schools, including Prep/Foundation to Year 9 and multi-campus schools …Show full descriptionThis dataset presents the school zones for single sex schools in Victoria for the year of 2020. All public primary and secondary schools, including Prep/Foundation to Year 9 and multi-campus schools have enrolment zones. This does not include schools with specific enrolment criteria including English Language Schools and Select Entry Schools. Specialist schools also do not have zones and have special enrolment criteria. Designated neighbourhood schools are generally the public school within closest proximity to the student’s permanent residential address, unless the Minister for Education or Regional Director has restricted the zone of the school. Closest proximity is calculated as the nearest school by straight line distance in metropolitan areas (including Geelong, Ballarat and Bendigo), or the nearest school by shortest practical route (in regional areas). Zones were produces in Datum 1994 VicGrid projection (EPSG: 3111) using locations that represent the front of the school or driveway access. Voronoi polygons define the measure of straight line distance and calculations using road classes 0 to 7 in the VicMap road network layer were used to define the measure of shortest practical route. The zones of schools defined as metropolitan have taken preference over the zones of regional schools where they interface. A small number of zones have been restricted by the Minister for Education to support schools in managing their enrolments. Some schools zones have been aligned with structural and geographic barriers recognising the significant accessibility issues they impose. School enrolment zones are reviewed annually and updated as government school provision changes. The school zone dataset is comprised of distinct map layers for primary schools and for each year of secondary school, acknowledging the different year levels offered by schools. For more information please visit the Victorian Government Data Portal or the Find My School website. Please note: The Victorian school zone layers can be used in conjunction with the Victorian school location layers. Copyright attribution: Government of Victoria - Department of Education and Training, (2019): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution 4.0 International (CC BY 4.0)

As of 2019, most rural inhabitants in Africa resided close to small and mid-sized towns. The nearest city to almost ** percent of the rural population had between 10,000 and ****** inhabitants. Smaller shares of rural households, on the other hand, lived closer to larger urban areas. As of the same year, roughly half of the rural residents lived within ** kilometers from a city.

This dataset presents the school zones for Secondary schools in Victoria with the Year 9 curriculum for the year of 2020. All public primary and secondary schools, including Prep/Foundation to Year 9 and multi-campus schools have enrolment zones. This does not include schools with specific enrolment criteria including English Language Schools and Select Entry Schools. Specialist schools also do not have zones and have special enrolment criteria. Designated neighbourhood schools are generally the public school within closest proximity to the student’s permanent residential address, unless the Minister for Education or Regional Director has restricted the zone of the school. Closest proximity is calculated as the nearest school by straight line distance in metropolitan areas (including Geelong, Ballarat and Bendigo), or the nearest school by shortest practical route (in regional areas). Zones were produces in Datum 1994 VicGrid projection (EPSG: 3111) using locations that represent the front of the school or driveway access. Voronoi polygons define the measure of straight line distance and calculations using road classes 0 to 7 in the VicMap road network layer were used to define the measure of shortest practical route. The zones of schools defined as metropolitan have taken preference over the zones of regional schools where they interface. A small number of zones have been restricted by the Minister for Education to support schools in managing their enrolments. Some schools zones have been aligned with structural and geographic barriers recognising the significant accessibility issues they impose. School enrolment zones are reviewed annually and updated as government school provision changes. The school zone dataset is comprised of distinct map layers for primary schools and for each year of secondary school, acknowledging the different year levels offered by schools. For more information please visit the Victorian Government Data Portal or the Find My School website. Please note: The Victorian school zone layers can be used in conjunction with the Victorian school location layers.

MetroCard Vendor Location FinderMetroCards can be purchased at many locations throughout Westchester including the County Center, Metro-North train stations, and over 100 neighborhood stores. This map is designed to help you find a vendor near you. To find the nearest MetroCard Vendor Type in an address in Search an address Box To Clear Search Click on the X Use the Zoom-in tool to see additional features and Zoom-out to see less features To Zoom to Full Extent Click on Home Button Please note: Not all types of MetroCard are available at every sales location. See below for additional ways to purchase a MetroCard and how to become a vendor.Retail MerchantsMerchants can sell both pre-valued MetroCard (ranging in price from $5.50 to $61.90 with bonus) and Unlimited Ride MetroCard (7-Day or 30-Day). This map is designed to help you find retail merchants within Westchester County. For a complete list of merchants within New York City, Long Island, and New Jersey visit the MTA’s website or call 718-330-1234. MetroCard VanThere is a full-service MetroCard van that visits Westchester County every month. For more details including dates and locations of the van please click here. Riders are able to buy a regular MetroCard, refill their existing MetroCards, and apply for a Reduced-Fare MetroCard if they are 65 and older or have qualifying disabilities.Metro-North Railroad StationsYou can buy a joint rail/MetroCard or a separate $25 MetroCard from any Metro-North ticket machine or ticket office. Machines accept cash, credit cards and ATM/debit cards - a $1 fee is assessed on these purchases. Other joint rail/MetroCard options are also available through Mail and Ride, Metro-North's monthly ticket-by-mail program.Subway StationsMetroCard can be purchased from vending machines or staffed sales booths in New York City subway stations. Machines accept cash, credit cards and ATM/debit cards. Station booth agents accept cash only.EasyPayEasyPay is for both full-fare and reduced-fare customers who want to enjoy the benefits of a MetroCard that never runs out of rides. The EasyPay MetroCard is linked to your credit or debit card, and refills automatically as you use it.Become a VendorSelling MetroCard brings in customers and commissions. Merchants can earn up to 3% on every card sold. Click here to learn more and complete the vendor application process. Free advertising materials are provided to merchants.

Around ** percent of the rural population in Africa lived within ** kilometers of a city as of 2019. Moreover, roughly half of the rural residents lived within a 14-kilometer distance from a city. In contrast, only less than *** percent of the rural households resided further than 100 kilometers from a city. Urbanization in Africa has increased in recent years. Gabon, Libya, and Djibouti had the highest urbanization rate on the continent in 2020.

This dataset presents the school zones for Secondary schools in Victoria with the Year 8 curriculum for the year of 2020. All public primary and secondary schools, including Prep/Foundation to Year …Show full descriptionThis dataset presents the school zones for Secondary schools in Victoria with the Year 8 curriculum for the year of 2020. All public primary and secondary schools, including Prep/Foundation to Year 9 and multi-campus schools have enrolment zones. This does not include schools with specific enrolment criteria including English Language Schools and Select Entry Schools. Specialist schools also do not have zones and have special enrolment criteria. Designated neighbourhood schools are generally the public school within closest proximity to the student’s permanent residential address, unless the Minister for Education or Regional Director has restricted the zone of the school. Closest proximity is calculated as the nearest school by straight line distance in metropolitan areas (including Geelong, Ballarat and Bendigo), or the nearest school by shortest practical route (in regional areas). Zones were produces in Datum 1994 VicGrid projection (EPSG: 3111) using locations that represent the front of the school or driveway access. Voronoi polygons define the measure of straight line distance and calculations using road classes 0 to 7 in the VicMap road network layer were used to define the measure of shortest practical route. The zones of schools defined as metropolitan have taken preference over the zones of regional schools where they interface. A small number of zones have been restricted by the Minister for Education to support schools in managing their enrolments. Some schools zones have been aligned with structural and geographic barriers recognising the significant accessibility issues they impose. School enrolment zones are reviewed annually and updated as government school provision changes. The school zone dataset is comprised of distinct map layers for primary schools and for each year of secondary school, acknowledging the different year levels offered by schools. For more information please visit the Victorian Government Data Portal or the Find My School website. Please note: The Victorian school zone layers can be used in conjunction with the Victorian school location layers. Copyright attribution: Government of Victoria - Department of Education and Training, (2019): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution 4.0 International (CC BY 4.0)

This dataset presents the school zones for Primary schools in Victoria for the year of 2020.

All public primary and secondary schools, including Prep/Foundation to Year 9 and multi-campus schools have enrolment zones. This does not include schools with specific enrolment criteria including English Language Schools and Select Entry Schools. Specialist schools also do not have zones and have special enrolment criteria.

Designated neighbourhood schools are generally the public school within closest proximity to the student’s permanent residential address, unless the Minister for Education or Regional Director has restricted the zone of the school. Closest proximity is calculated as the nearest school by straight line distance in metropolitan areas (including Geelong, Ballarat and Bendigo), or the nearest school by shortest practical route (in regional areas). Zones were produces in Datum 1994 VicGrid projection (EPSG: 3111) using locations that represent the front of the school or driveway access. Voronoi polygons define the measure of straight line distance and calculations using road classes 0 to 7 in the VicMap road network layer were used to define the measure of shortest practical route.

The zones of schools defined as metropolitan have taken preference over the zones of regional schools where they interface. A small number of zones have been restricted by the Minister for Education to support schools in managing their enrolments. Some schools zones have been aligned with structural and geographic barriers recognising the significant accessibility issues they impose. School enrolment zones are reviewed annually and updated as government school provision changes. The school zone dataset is comprised of distinct map layers for primary schools and for each year of secondary school, acknowledging the different year levels offered by schools.

For more information please visit the Victorian Government Data Portal or the Find My School website.

Please note:

• The Victorian school zone layers can be used in conjunction with the Victorian school location layers.

As urban rail transit expands, systematic evidence remains limited on how the built environment influences cultural perception among passengers. This study identifies the main determinants of cultural perception, tests whether perception of nearby public cultural facilities mediates these effects, and examines heterogeneity by station type. Using metro stations in central Shanghai as a case, we compute the Shannon diversity index of nearby public cultural facilities within the 500 m station area and apply Anselin Local Moran’s I to classify 90 stations into four types: High-High cluster, High-Low outlier, Low-High outlier, and Low-Low cluster. Questionnaire data from 12 representative stations (n = 414) are analyzed with structural equation modeling, and differences across station types are assessed with a one-way analysis of variance. Results indicate that interior spatial design satisfaction has the strongest positive association with cultural perception, followed by entrance and exit design satisfaction. Perception of nearby public cultural facilities is positively associated with cultural perception and partially mediates the association between interior spatial design satisfaction and cultural perception. Station types differ significantly in interior spatial design satisfaction, entrance and exit design satisfaction, perception of nearby public cultural facilities, and cultural perception, with High-High cluster highest, Low-Low cluster lowest, and High-Low outlier and Low-High outlier in between. This study incorporates the subjective perception of nearby public cultural facilities into the framework for cultural perception in metro stations, clarifies direct and mediated pathways, and provides type specific implications for factor prioritization and station stratification in upgrades and retrofits across different network contexts.

This dataset presents the school zones for Primary schools in Victoria for the year of 2020. All public primary and secondary schools, including Prep/Foundation to Year 9 and multi-campus schools have enrolment zones. This does not include schools with specific enrolment criteria including English Language Schools and Select Entry Schools. Specialist schools also do not have zones and have special enrolment criteria. Designated neighbourhood schools are generally the public school within closest proximity to the student’s permanent residential address, unless the Minister for Education or Regional Director has restricted the zone of the school. Closest proximity is calculated as the nearest school by straight line distance in metropolitan areas (including Geelong, Ballarat and Bendigo), or the nearest school by shortest practical route (in regional areas). Zones were produces in Datum 1994 VicGrid projection (EPSG: 3111) using locations that represent the front of the school or driveway access. Voronoi polygons define the measure of straight line distance and calculations using road classes 0 to 7 in the VicMap road network layer were used to define the measure of shortest practical route. The zones of schools defined as metropolitan have taken preference over the zones of regional schools where they interface. A small number of zones have been restricted by the Minister for Education to support schools in managing their enrolments. Some schools zones have been aligned with structural and geographic barriers recognising the significant accessibility issues they impose. School enrolment zones are reviewed annually and updated as government school provision changes. The school zone dataset is comprised of distinct map layers for primary schools and for each year of secondary school, acknowledging the different year levels offered by schools. For more information please visit the Victorian Government Data Portal or the Find My School website. Please note: The Victorian school zone layers can be used in conjunction with the Victorian school location layers.

Description

How much will your rental expense be when living in a large city with a developed public transportation system? If you want to get a take a sip of the questions alike, then this dataset would be of your interest.

As a brief introduction, this dataset is about the recent rents in one of the largest cities in China, Guangzhou (or Canton), a city with highly developed public transportation system. According to the government statistics, there are about 15 million residents in the city in 2019[1]. With such a huge population, lots of challanges have been brought to the city's transportation system. Since 1997, Guangzhou has made persistent investment to the city's metro system, as a way to provide a solution to those challanges. As a result of the investment, the operating mileage of the metro system in the city now has reached 514.8 km, which ranks the third in the world according to Wikipedia[2]. It is reported that the metro provides its service to about 9 million passengers each day on average[3], which, without any doubt, reflects the important role it plays in the life of the citizens.

As a common way of commuting, living near a metro station will mean less walking, shorter time spent on transportation, and higher rental expenses, especially for those living near the interchange stations. But how much will this factor influence the rents is still uncertain. In this dataset, I provide some recent data scraped from one popular housing renting platform Lianjia, which has been wrangled to the minimum level. Other detailed information and codes can be inspected via the Github repo.

[1] Report from Guangzhou statistics bureau [2] Wiki entry: list of metro systems [3] Corporate introduction of Guangzhou Metro

Acknowledgements

The latest rent data is scraped from Lianjia on 23 May 2020, 3 June 2020, 12 June 2020 and 20 June 2020, which keeps updating due to transaction reason. As stated in the Github repo, the number of records in the dataset has exceeded 10k, and all the data are scraped within a month in 2020, I believe they are somewhat sufficient for representing the rent in the city (or at least in the nearby period). Thus, the next update may follow an irregular basis.

The latest metro station data is collected from the official website Guangzhou Metro in May 2020, which is relatively stable in a few months.

The geocoding service used for getting the longitude and latitude data is AMap Geocoding and AMap POI run by Alibaba. The API key for using the above services has not been provided. Please apply for one via Application for the AMap API key

Disclaimer

The data acquired represent only small amount of the platform with repect to certain dates. At the same time, the data do not represent the final price of agreement. If there is any severe violation of your benefit, please contact me without hesitation.

Inspiration

1. How will the distance to the nearest metro station affect the rent asked for?

2. How will the elevator(s) influence the rent asked for? What about considering the floors of the houses at the same time?

3. What's the general trend for the rent asked for geometrically, like going from the west side to the east side of the city?

4. Can any model for predicting the approximate rent given certain conditions of the houses be created?

Social insects are highly successful invaders of novel habitats and, of these, wasps and yellowjackets are quite successful worldwide. Vespula germanica (German yellowjackets) have become a pernicious cosmopolitan problem – yet the degree of their urban association and domination remains unclear. We investigated the invasion and behavior of V. germanica in Western New York along a rural-urban gradient to understand their conspecific dominance and their foraging behavior around human activities. We placed yellowjacket baits in urban, suburban and rural sites through the summer season to assess their dominance, and we conducted behavior trials at picnic tables to observe their responses to human activity. Given that the invasive ecotype prefers to nest in human structures, we predicted we would find the greater V. germanica dominance near structures and in urban areas. Moreover, given that they learn to associate food with cues, we predicted that they would associate human presence/activi..., The study area fell within the Western New York (U.S.) geographic area, bounded on the northern and eastern edges by Lakes Ontario and Erie, the western edge by Rochester, NY and the southern edge by the Alleghany Plateau. The study area included urban (the greater metropolitan areas of Buffalo, Niagara Falls, and Rochester) suburban and rural habitats and encompassed about 12,000 km2. Within that area, we acquired permission from municipal and private entities, and from that pool randomly we selected sites that were urban (dominated by impermeable surfaces; no single-family housing), suburban (permeable surfaces such as lawns and trees; dominated by single-family housing) and rural (dominated by permeable surfaces such as agricultural fields and forests; sporadic single-family housing). Every two weeks for 20 weeks (June-November 2022) we sampled 9 sites (3 of each: urban, suburban and rural). We captured no insects during the first baiting (June 13), so we resampled the same sites for..., , # Data from: Non-native Vespula germanica yellowjackets dominate urban-to-rural gradient

#Gradient data Date = date traps placed Julian = Julian date traps placed Lat = Latitude Lon = Longitude Dist.home = distance from the trap to the nearest human structure Land.use = land use category for location where trap placed (Rural, Suburban, Urban) V.germanica, V. maculifera, V.flavipolus = Abundance of each Vespula species in trap D.arenaria = abundance of Dolichovespula arenaria in trap

#Behavior data Date = date traps placed Julian = Julian date traps placed Week = treatment week Replicate = nearest campus building Table = table where trap placed Treatment = Control or Observed V.germanica = abundance of V. germanica Other = other wasps in traps

NA = missing data

This software pack, together with the figures it produces, presents supplementary material in support of the publication: J. De Keyser, N.J.T. Edberg, P. Henri, H. Rothkaehl, V. Della Corte, M. Rubin, R. Funase, S. Kasahara, C. Snodgrass, Optimal choice of closest approach distance for a comet flyby: Application to the Comet Interceptor mission, Planetary and Space Science, Volume 256, 2025, 106032, ISSN 0032-0633, https://doi.org/10.1016/j.pss.2024.106032.

This entry contains the MATLAB software, as well as the figures obtained with the software and used in the above-mentioned publication.

BoBo lander from NIOZ (Bottom Boundary) was deployed in the undisturbed area south of the DISCOL Experimental Area (DEA) for a duration of several weeks (2015-08-16 to 2015-09-26). This dataset contains raw and processed data from 300kHz upward looking ADCP and 1200kHz downward looking ADCP.

argilla/notus-uf-dpo-closest-rejected dataset hosted on Hugging Face and contributed by the HF Datasets community

This dataset has made use of data and/or services provided by the International Astronomical Union's Minor Planet Center.Update frequency: currently inactive"The Minor Planet Center (MPC) has been providing the orbits of minor planets in the form of a file, MPCORB.DAT, since the mid '90s (1990s, not 1890s)"Attachments: http://www.minorplanetcenter.net/iau/lists/NumberedMPs000001.html

Which areas in a city have easy access to public transportation? This access map reveals areas that are 1/4 mile, 1/2 mile, and 1 km away from the nearest bus, metro or train stop. These distances equate to around a 5, 10, and 12 minute walk, typically.Transit locations are from GTFS Data Exchange. Access is based on a walkability analysis in ArcGIS, using Network Analyst and HERE streets data in StreetMap Premium.

Use the Nearby template to guides your app users to places of interest close to an address. This template helps users find focused types of locations (such as schools) within a search distance of an address, their current location, or other place they specify. They can adjust distance values to change the search radius and get directions to locations they select. For users who are searching, you can set a range for the distance slider so users can define their search buffer or pan the map to see results from the map view. Include directions to help users navigate to locations within a defined search radius. Include the export tool to allow users to capture images of the map along with results from the search. Examples: Create a store locator app that allows customers to input a location, find a nearby store, and navigate to it. Create an app for finding health care facilities within a specified distance of a searched address. Provide users with directions and information for election polling locations. Build an app where users can find nearby trails and view an elevation profile of each result. Data requirements The Nearby template requires a feature layer to take full advantage of its capabilities. Key app capabilities Distance slider - Set a minimum and maximum search radius for finding results. Map extent result - Show all the results in the map view. Panel options - Customize result panel location information with feature attributes from a configured pop-up. Results-focused layout - Keep the map out of the app to maintain focus on the search and results. Attribute filter - Configure map filter options that are available to app users. Export - Print or export the search results or selected features as a .pdf, .jpg, or .png file that includes the pop-up content of returned features and an option to include the map. Alternatively, download the search results as a .csv file. Directions - Provide directions from a searched location to a result location. Elevation profile - Generate an elevation profile graph across an input line feature that can be selected in the scene or from drawing a single or multisegment line using the tool. Language switcher - Provide translations for custom text and create a multilingual app. Home, Zoom controls, Legend, Layer List, Search Supportability This web app is designed responsively to be used in browsers on desktops, mobile phones, and tablets. We are committed to ongoing efforts towards making our apps as accessible as possible. Please feel free to leave a comment on how we can improve the accessibility of our apps for those who use assistive technologies.

This dataset presents the school zones for Senior Secondary Colleges in Victoria for the year of 2020. All public primary and secondary schools, including Prep/Foundation to Year 9 and multi-campus schools have enrolment zones. This does not include schools with specific enrolment criteria including English Language Schools and Select Entry Schools. Specialist schools also do not have zones and have special enrolment criteria. Designated neighbourhood schools are generally the public school within closest proximity to the student’s permanent residential address, unless the Minister for Education or Regional Director has restricted the zone of the school. Closest proximity is calculated as the nearest school by straight line distance in metropolitan areas (including Geelong, Ballarat and Bendigo), or the nearest school by shortest practical route (in regional areas). Zones were produces in Datum 1994 VicGrid projection (EPSG: 3111) using locations that represent the front of the school or driveway access. Voronoi polygons define the measure of straight line distance and calculations using road classes 0 to 7 in the VicMap road network layer were used to define the measure of shortest practical route. The zones of schools defined as metropolitan have taken preference over the zones of regional schools where they interface. A small number of zones have been restricted by the Minister for Education to support schools in managing their enrolments. Some schools zones have been aligned with structural and geographic barriers recognising the significant accessibility issues they impose. School enrolment zones are reviewed annually and updated as government school provision changes. The school zone dataset is comprised of distinct map layers for primary schools and for each year of secondary school, acknowledging the different year levels offered by schools. For more information please visit the Victorian Government Data Portal or the Find My School website. Please note: The Victorian school zone layers can be used in conjunction with the Victorian school location layers.