Electronic transport in materials is governed by a series of tensorial properties such as conductivity, Seebeck coefficient, and effective mass. These quantities are paramount to the understanding of materials in many fields from thermoelectrics to electronics and photovoltaics. Transport properties can be calculated from a material’s band structure using the Boltzmann transport theory framework. We present here the largest computational database of electronic transport properties based on a large set of 48,000 materials originating from the Materials Project database. Our results were obtained through the interpolation approach developed in the BoltzTraP software, assuming a constant relaxation time. We present the workflow to generate the data, the data validation procedure, and the database structure. Our aim is to target the large community of scientists developing materials selection strategies and performing studies involving transport properties.

This dataset describes the public transport networks of 25 cities across the world in multiple easy-to-use data formats. These data formats include network edge lists, temporal network event lists, SQLite databases, GeoJSON files, and General Transit Feed Specification (GTFS) compatible ZIP-files.

The source data for creating these networks has been published by public transport agencies according to the GTFS data format. To produce the network data extracts for each city, the original data have been curated for errors, filtered spatially and temporally and augmented with walking distances between public transport stops using data from OpenStreetMap.

Cities included in this dataset version: Adelaide, Belfast, Berlin, Bordeaux, Brisbane, Canberra, Detroit, Dublin, Grenoble, Helsinki, Kuopio, Lisbon, Luxembourg, Melbourne, Nantes, Palermo, Paris, Prague, Rennes, Rome, Sydney, Toulouse, Turku, Venice, and Winnipeg.

Contrary to the version 1.0 of this data set, this version (1.2) does not include the cities of Antofagasta and Athens, for which non-commercial usage of the data is not allowed.

Contrary to previous versions of the data set (1.0 and 1.2), in this version (1.2) the temporal filtering of the data has been slightly adapted, so that the daily and weekly data extracts cover all trips departing between from 03 AM on Monday to 03 AM on Tuesday (daily extract) or 03 AM of the Monday next week (weekly extract). Additionally, a temporal network extract covering a full week of operations has been added for each city.

Documentation of the data can be found in the Data Descriptor article published in Scientific Data: http://doi.org/10.1038/sdata.2018.89 When using this dataset, please cite also the above-mentioned paper.

The processes involved in bed-load sediment transport are complex and challenging to quantify. Field measurements provide insight and a chance to improve predictive methods. A comprehensive database contains more than 15,000 observations from nearly 500 bed-load sediment transport data sets. The database includes sample descriptions, discharge and transport data, channel and bankfull characteristics, surface and subsurface grain size distributions, and, where possible, stream classification descriptors. The database is freely available to the public. This database aims to provide useful data to researchers studying bed-load transport processes.

This dataset is an updated and improved version of the original. The original version, cited in the paper https://doi.org/10.1061/(ASCE)HY.1943-7900.0001221, was hosted at a byu.edu server that is no longer accessible. This version includes updates and improvements to the original, provided by Sagy Cohen. Also included in this resource is an XML file of the site locations and a subset of the data for only major rivers.

The Database is a research and analysis tool developed at the University of Washington, in the Department of Pharmaceutics. It contains in vitro and in vivo information on drug interactions in humans from the following sources: * 9648 peer-reviewed journal articles referenced in PubMed * 102 New Drug Applications (NDAs) * 411 excerpts of FDA Prescribing Information * In-depth analyses of drug-drug interactions in the context of 40 diseases / co-morbidities. In addition, the database also provides PK Profiles of drugs, QT Prolongation data, including results of TQT studies from recent NDAs, as well as Regulatory Guidances and Editorial Summaries/Syntheses relevant to advances in the field of drug interactions. Access to the Database is licensed by UW Center for Commercialization (C4C) to organizations interested in in-depth information on drug interactions. The Database is particularly useful to scientists/clinicians working in drug discovery and drug development. Database users can search for information using several families of pre-formulated queries based on drug name, enzyme name, transporter name, therapeutic area, and more.

The CO2 Transport Planning Database v3.0 is a geospatial resource, containing over 70 gigabytes of data representing critical considerations for the spatial routing of pipelines and transport of CO2, from source to sink. Considerations include state-specific legislation, land use requirements, existing infrastructure, and hazard prevention areas. Built to support strategic domestic energy transport planning and development, more than 60 layers of this database have been weighted (Weight fields) according to current legislation and pipeline construction recommendations. Weighted values range from zero to one, where zero represents potentially more acceptable areas for transport based on the various considerations, and a value of one represents areas that should be avoided. This geospatial database provides a baseline for the Smart CO2 Transport Planning Tool.

Your Strategic Marketing Asset for B2B Marketing in the Business Operations Realm

In today’s ever-shifting business environment, agility and precise targeting are key to B2B marketing success. With economic conditions continually changing, Solution Publishing by Allforce emerges as the quintessential digital audience data product, expertly fashioned to equip marketers with unparalleled reach and engagement within the business operations sphere, with a particular emphasis on the Supply Chain sector.

Enhanced Industry Connectivity with Granular Targeting, BizOps constructs an extensive tapestry of data, featuring over 2 million professionals with roles integral to Supply Chain, Logistics, Transportation, and Facilities. This vast audience provides a springboard for marketers to segment and hone in on their desired demographic, by job function, leadership status, and company size. Our granular targeting capabilities extend even further, permitting refined outreach with selectable parameters like geographic scope and job-specific interest categories, especially those revolving around the Supply Chain nexus, ensuring communications are bespoke and impactful.

Direct Mail and Telemarketing: Our comprehensive postal and telephone databases are a born for direct mail and telemarketing campaigns. In a sector where direct, meaningful touch points are paramount, direct mail pieces crafted using insights from Solution Publishing by Allforce are assured to reach the influential figures within Supply Chain and beyond, while telemarketing activities benefit from vetted leads, guaranteeing that your sales teams conduct rich, conversion-oriented conversations.

Email Marketing: Engaging with Targeted Precision

The driving force of our email marketing prowess is our sustained monthly interaction with a wide array of contacts, which directly benefits from contributions to Solution Publishing by Allforce's Business Operations Solution Journal. This engagement not only maintains the vitality of our database but also garners critical metrics on interactions, ensuring our data remains fresh and relevant, particularly within the Supply Chain field. Your email campaigns are assured not just to reach the intended inboxes but to be received by an audience that anticipates and values content centered on Supply Chain management and its associated segments like Procurement, Operations, Distribution, and Inventory.

Programmatic Display: Capturing Essential Digital Engagements

In the competitive digital arena, where every click is a currency, we help you elevate your display advertising. Our data zeroes in on the exact audience segments integral to the Supply Chain, from frontline coordinators to C-suite decision-makers, ensuring that your digital ads are not just seen, but actively engaged with by the very professionals driving Supply Chain innovation and efficiency.

LinkedIn Networking: Cultivating Industry-Specific Relationships

Recognizing LinkedIn as the virtual nexus for professionals, BizOps Continuum empowers your team to forge and nurture connections with precision on this platform. Matching our expansive data with LinkedIn profiles allows your marketing and sales teams to pinpoint and engage potential clients within the Supply Chain arena, fostering professional relationships through personalized InMail strategies, connection requests, and content sharing that resonates with the unique trends and necessities inherent in Supply Chain dynamics.

Use Cases: Uniting Verticals Under the Supply Chain Umbrella. Our data versatility ensures its utility spans a variety of industries related to business operations.

Supply Chain: Tailor messages for companies at the forefront of Supply Chain innovation and logistics optimization.

Wholesale and Retail: Reach decision-makers in search of cutting-edge Supply Chain solutions to streamline distribution.

Manufacturing: Target businesses implementing advanced Supply Chain practices to maximize production efficiency.

Transportation and Logistics: Connect with entities that manage the movement of goods from manufacturers to markets.

Facilities Management: Engage with professionals tasked with integrating Supply Chain systems into facility operations.

Technology and Information Systems: Address the needs of IT departments that support the Supply Chain with software and hardware solutions.

Enriching Campaigns with Active, Engaged Audiences

Solution Publishing by Allforce is more than a database—it's an ecosystem teeming with engaged, qualified business operations professionals actively interacting with content that influences their day-to-day and strategic decisions, especially within the Supply Chain sector. Insights drawn from our active engagement with the Business Operations Solution Journal newsletter empower your campaigns with the intelligence needed for hyper-targeted, resonant messaging that leads to higher conversion rates.

Positionin...

This dataset and documentation contains detailed information of the iTEM Open Database, a harmonized transport data set of historical values, 1970 - 2018. It aims to create transparency through two key features: Open-Data: Assembling a comprehensive collection of publicly-available transportation data Open-Code: All code and documentation will be publicly accessible and open for modification and extension. https://github.com/transportenergy The iTEM Open Database is comprised of individual datasets collected from public sources. Each dataset is downloaded, cleaned, and harmonised to the common region and technology definitions defined by the iTEM consortium https://transportenergy.org. For each dataset, we describe the name of the dataset, the web link to the original source, the web link to the cleaning script (in python), variables, and explain the data cleaning steps (which explains the data cleaning script in plain English).

The multimodal database presents in an aggregated manner the schedules and stops of the Norman public transport networks. It is the support of the route calculator Atoumod.fr, managed by the Syndicat mixte Atoumod.

Planimetric basemap layer containing transportation structures features.

Please see the following link for additional documentation- https://github.com/CityOfNewYork/nyc-planimetrics/blob/master/Capture_Rules.md.

This vast repository houses crucial information on international trade transactions, capturing the intricate details of both export and import activities of Zimbabwe. The Export Database contains meticulous records of outbound shipments, offering valuable insights into the products, exporters, and destinations involved in each transaction. On the other hand, the Import Database provides a comprehensive view of inbound shipments, shedding light on the importers, origins, and details of the products acquired. Together, these two databases present a holistic perspective on global trade dynamics, encompassing critical metadata such as dates, product descriptions, quantities, values, and transportation specifics. Whether you are an analyst, researcher, or business professional, this comprehensive database will undoubtedly prove to be an invaluable resource for gaining a deep understanding of international trade patterns and market dynamics. Explore the wealth of information within and unlock new opportunities in the world of trade and commerce.

The Export Database contains information related to export transactions. Each entry in the database represents a specific export event. The metadata fields in this database hold crucial details about the exported products and the transaction itself. The "DATE" field indicates the date of the export. "EXPORTER NAME" refers to the name of the entity or company responsible for exporting the goods. "DESTINATION COUNTRY" indicates the country to which the products are being shipped. The "HS CODE" represents the Harmonized System code, a standardized numerical system used to classify traded products. The "PRODUCT DESCRIPTION" field provides a brief description of the exported item. The "BRAND" field specifies the brand associated with the product. "QUANTITY" indicates the total quantity of the product being exported, and "UNIT OF QUANTITY" represents the measurement unit used for quantity. "SUBITEM QUANTITY" refers to the quantity of a subitem within the main exported product. The "PACKAGES" field indicates the number of packages used for shipment. "GROSS WEIGHT" represents the total weight of the exported products. "SUBITEM FOB VALUE" and "TOTAL FOB VALUE" denote the Free on Board (FOB) value of the subitem and the total FOB value of the export, respectively. "TOTAL CIF VALUE" indicates the total cost, insurance, and freight value. "ITEM NUMBER" is a unique identifier for each product item. "TRANSPORT TYPE" specifies the mode of transportation used for the export. "INCOTERMS" refers to the standardized international trade terms defining the responsibilities of buyers and sellers during transportation. "CUSTOMS" indicates the customs information related to the export. "VARIETY" and "ATTRIBUTES" hold additional details about the product. The "OPERATION TYPE" field indicates the type of export operation, such as direct export or re-export. "MONTH" and "YEAR" represent the month and year when the export occurred.

The Import Database contains information related to import transactions. Each entry in the database represents a specific import event. The metadata fields in this database hold crucial details about the imported products and the transaction itself. The "DATE" field indicates the date of the import. "IMPORTER NAME" refers to the name of the entity or company responsible for importing the goods. "SALES COUNTRY" indicates the country from which the products are being purchased. "ORIGIN COUNTRY" denotes the country where the imported products originate. The "HS CODE" represents the Harmonized System code, a standardized numerical system used to classify traded products. The "PRODUCT DESCRIPTION" field provides a brief description of the imported item. "QUANTITY" indicates the total quantity of the product being imported, and "UNIT OF QUANTITY" represents the measurement unit used for quantity. "SUBITEM QUANTITY" refers to the quantity of a subitem within the main imported product. The "PACKAGES" field indicates the number of packages used for shipment. "GROSS WEIGHT" represents the total weight of the imported products. "TOTAL CIF VALUE" indicates the total cost, insurance, and freight value. "TOTAL FREIGHT VALUE" and "TOTAL INSURANCE VALUE" represent the respective values for freight and insurance. "ITEM FOB VALUE," "SUBITEM FOB VALUE," and "ITEM CIF VALUE" denote the Free on Board (FOB) value of the item, subitem, and the cost, insurance, and freight value of the item, respectively. "ORIGIN PORT" specifies the port from which the products were shipped. "TRANSPORT TYPE" specifies the mode of transportation used for the import. "INCOTERMS" refers to the standardized international trade terms defining the responsibilities of buyers and sellers during transportation. "ITEM NUMBER" is a unique identifier for each product item. "CUSTOMS" indicates the customs information related to the import. "OPERATION TYPE" field indicates the type of import operation, such as direct...

This database provides annual, quarterly and monthly estimates for energy use from commercial passenger, freight and general aviation flights. Energy use is determined by calculating the aviation fuel consumption for individual flights and then converting to terajoules. This is estimated for 186 countries by the OECD, based on a consistent methodology across countries. The estimates are compiled using Automatic Dependent Surveillance-Broadcast (ADS-B) flight data from the International Civil Aviation Organisation (ICAO).

This database corresponds with the air transport emissions database The database provides energy use measures on a territory basis, which aligns with energy balances statistics (gross inland energy consumption); and on a residence basis, which is used to estimate the use of kerosene and jet fuels by air transport (H51 in the International Standard Industrial Classification of All Economic Activities, or ISIC) in the Physical Energy Flow Accounts (PEFA).

Seven components of these energy use measures can be selected from the ‘Energy use’ filter. In the tables, these are also shown with the letters A, B, C, D, E, F and G. The following aggregate measures of energy use are calculated as:

• Domestic aviation = A + C
• International aviation = D + G
• Physical energy flow accounts use table: air transport (ISIC H51) - aviation fuel = A + B + D + E + F

National Address DatabaseThis National Geospatial Data Asset (NGDA) dataset, shared as a U.S. Department of Transportation (USDOT) feature layer, displays address data in the United States. Per USDOT, "The U.S. Department of Transportation (USDOT) and its partners from all levels of government recognize the need for a National Address Database (NAD). Accurate and up-to-date addresses are critical to transportation safety and are a vital part of Next Generation 9-1-1. They are also essential for a broad range of government services, including mail delivery, permitting, and school siting. To meet this need, USDOT partners with address programs from state, local, and tribal governments to compile their authoritative data into the NAD."District of Columbia (DC) Residential AddressesData currency: Current federal service (Address Points from National Address Database)NGDAID: 196 (National Address Database (NAD))For more information: Getting to know the National Address Database (NAD); National Address DatabaseFor feedback, please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Transportation Theme Community. Per the Federal Geospatial Data Committee (FGDC), Transportation is defined as the "means and aids for conveying persons and/or goods. The transportation system includes both physical and non-physical components related to all modes of travel that allow the movement of goods and people between locations".For other NGDA Content: Esri Federal Datasets

This record mirrors current and previous versions of data published by the Asian Transport Observatory (ATO). At the original location (https://asiantransportobservatory.org/snd/), this is described (as of 2025-02-23) as:

The Asian Transport Outlook (ATO) National Database is a collection of national-level indicators on the transport sector in 51 economies in the Asia Pacific region using about 400 indicators. The database also includes relevant information on policy frameworks for transport in these economies.

As of 2025-02-23, the ATO website and the data files themselves do not specify a license for these data. The “ATO Terms of Service” attached to this record contain text copied from https://asiantransportobservatory.org/termsofservice/ under the heading “Copyright Notice.”

This record is created as an archive to support reproducible research wherein the precise results depend on the exact contents of the ATO National Database as of a certain point in time. This falls under the permitted/encouraged "non-profit purposes" mentioned in the Terms of Service.

The files in the record have the same names as those provided by the original source, with the addition of a date like “2025-02-17”. This reflects the creation and/or modification time (whichever is latest) of the file, as expressed in the embedded document metadata. Different versions of the same file are distinguished by this name suffix.

This record will be updated with additional, serial versions to add newer or older version(s) of these or related files, at least until these are available from another source that meets the same archival criteria as Zenodo.

Transport and energy database for Ghana covering energy, emissions and policy. Compiled as part of the Climate Compatible Growth (CCG) programme funded by the UK Foreign, Commonwealth & Development Office (FCDO).

These are the areas used for services for each transport class, which are located close to the specific mobility routes [CRDT Regional Catalogue] metadata (http://rsdi.regione.basilicata.it/Catalogue/srv/ita/search?hl=ita#fast=index&from=1&to=50&any_OR_geokeyword=1001*)

The spatial data set "Estonian Topography Database - Transport" includes real-world phenomena that have been grouped into the reality model transport group of the Estonian Topography Database (ETAK), which have been classified into phenomena classes: roads (including road areas), tracks, targets and traffic management facilities. ---> The path attributes of the phenomenon class are: road name, road name in address data system, road number, roadway code, road logical part code, road number synonym, road number synonym, road logical part code synonym, road logical part code synonym, road driving part code synonym, road driving part code synonym, road width, road section start level, road section end level, traffic direction, road type, road surface material, road importance, road cartographic name. Characteristics of the track of the conspicuity class are: type of track, electrified track, importance of track. Characteristics of traffic management structures of the conspicuity class are: type of traffic management installation, barrier closure. There are no attributes in the target class. ---> The basis for the establishment and maintenance of the Estonian topographic database is the "Statutes of the Estonian topographic database" and the "Procedure for the acquisition of topographic data and topographic features of general significance". ---> The main data sources are: data obtained by aerial imaging and laser scanning or their derivatives, including orthophotos; data transmitted by holders of information in the course of data exchange; data on the surveys carried out by the controller; data from other surveys and surveys, including public databases and other sources. For example, the roads of the Estonian topographic database are linked to the data of the Estonian national road register.

Intermodal Passenger Connectivity DatabaseThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the Bureau of Transportation Statistics (BTS), displays the Intermodal Passenger Connectivity Database (IPCD). According to BTS, IPCD is a "nationwide database of passenger transportation terminals, with data on the availability of connections among the various scheduled public transportation modes at each facility." The types of passenger transportation terminals include:Scheduled airline service airportsIntercity bus stationsIntercity and transit ferry terminalsLight-rail transit stationsHeavy-rail transit stationsPassenger-rail stationsBike-share stationsThe data describes the availability and locations of the above types of passenger transportation terminals. Note, transit bus service locations are not specifically included.Ronald Reagan Washington National AirportData currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (Intermodal Passenger Connectivity Database IPCD) and will support mapping, analysis, data exports and OGC API – Feature access.Data.gov: Intermodal Passenger Connectivity Database (IPCD) (National) - National Geospatial Data Asset (NGDA) Intermodal (Passenger)Geoplatform: Intermodal Passenger Connectivity Database (IPCD) (National) - National Geospatial Data Asset (NGDA) Intermodal (Passenger)OGC API Features Link: (Intermodal Passenger Connectivity Database - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information: Intermodal Passenger Connectivity Database IPCDFor feedback please contact: Esri_US_Federal_Data@esri.comThumbnail image courtesy of: Metropolitan Transportation Authority of the State of New YorkNGDA Data SetThis data set is part of the NGDA Transportation Theme Community. Per the Federal Geospatial Data Committee (FGDC), Transportation is defined as the "means and aids for conveying persons and/or goods. The transportation system includes both physical and non-physical components related to all modes of travel that allow the movement of goods and people between locations".For other NGDA Content: Esri Federal Datasets

The national public transport access nodes (NaPTAN) database lists all points of access to public transport in Great Britain. It records approximately 400,000 bus stops across England, Scotland and Wales, as well as other transport terminals including:

rail stations airports NaPTAN consists of:

a standard for identifying and naming access points to public transport a database of all public transport access points in Great Britain the XML schema for exchanging data or an alternative CSV exchange format version

Your Strategic Marketing Asset for B2B Marketing in the Business Operations Realm

In today’s ever-shifting business environment, agility and precise targeting are key to B2B marketing success. With economic conditions continually changing, Solution Publishing by Allforce emerges as the quintessential digital audience data product, expertly fashioned to equip marketers with unparalleled reach and engagement within the business operations sphere, with a particular emphasis on the Supply Chain sector.

Enhanced Industry Connectivity with Granular Targeting, BizOps constructs an extensive tapestry of data, featuring over 2 million professionals with roles integral to Supply Chain, Logistics, Transportation, and Facilities. This vast audience provides a springboard for marketers to segment and hone in on their desired demographic, by job function, leadership status, and company size. Our granular targeting capabilities extend even further, permitting refined outreach with selectable parameters like geographic scope and job-specific interest categories, especially those revolving around the Supply Chain nexus, ensuring communications are bespoke and impactful.

Direct Mail and Telemarketing: Our comprehensive postal and telephone databases are a born for direct mail and telemarketing campaigns. In a sector where direct, meaningful touch points are paramount, direct mail pieces crafted using insights from Solution Publishing by Allforce are assured to reach the influential figures within Supply Chain and beyond, while telemarketing activities benefit from vetted leads, guaranteeing that your sales teams conduct rich, conversion-oriented conversations.

Email Marketing: Engaging with Targeted Precision

The driving force of our email marketing prowess is our sustained monthly interaction with a wide array of contacts, which directly benefits from contributions to Solution Publishing by Allforce's Business Operations Solution Journal. This engagement not only maintains the vitality of our database but also garners critical metrics on interactions, ensuring our data remains fresh and relevant, particularly within the Supply Chain field. Your email campaigns are assured not just to reach the intended inboxes but to be received by an audience that anticipates and values content centered on Supply Chain management and its associated segments like Procurement, Operations, Distribution, and Inventory.

Programmatic Display: Capturing Essential Digital Engagements

In the competitive digital arena, where every click is a currency, we help you elevate your display advertising. Our data zeroes in on the exact audience segments integral to the Supply Chain, from frontline coordinators to C-suite decision-makers, ensuring that your digital ads are not just seen, but actively engaged with by the very professionals driving Supply Chain innovation and efficiency.

LinkedIn Networking: Cultivating Industry-Specific Relationships

Recognizing LinkedIn as the virtual nexus for professionals, BizOps Continuum empowers your team to forge and nurture connections with precision on this platform. Matching our expansive data with LinkedIn profiles allows your marketing and sales teams to pinpoint and engage potential clients within the Supply Chain arena, fostering professional relationships through personalized InMail strategies, connection requests, and content sharing that resonates with the unique trends and necessities inherent in Supply Chain dynamics.

Use Cases: Uniting Verticals Under the Supply Chain Umbrella. Our data versatility ensures its utility spans a variety of industries related to business operations.

Supply Chain: Tailor messages for companies at the forefront of Supply Chain innovation and logistics optimization.

Wholesale and Retail: Reach decision-makers in search of cutting-edge Supply Chain solutions to streamline distribution.

Manufacturing: Target businesses implementing advanced Supply Chain practices to maximize production efficiency.

Transportation and Logistics: Connect with entities that manage the movement of goods from manufacturers to markets.

Facilities Management: Engage with professionals tasked with integrating Supply Chain systems into facility operations.

Technology and Information Systems: Address the needs of IT departments that support the Supply Chain with software and hardware solutions.

Enriching Campaigns with Active, Engaged Audiences

Solution Publishing by Allforce is more than a database—it's an ecosystem teeming with engaged, qualified business operations professionals actively interacting with content that influences their day-to-day and strategic decisions, especially within the Supply Chain sector. Insights drawn from our active engagement with the Business Operations Solution Journal newsletter empower your campaigns with the intelligence needed for hyper-targeted, resonant messaging that leads to higher conversion rates.

Positionin...

The Intermodal Passenger Connectivity Database (IPCD) dataset was compiled on August 10, 2021 and was updated October 19, 2022 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The IPCD is a nationwide database of passenger transportation terminals, with data on the availability of connections among the various scheduled public transportation modes at each facility. IPCD is no longer being updated, the latest information is from 2022. The IPCD data covers the following types of passenger transportation terminals/stops: 1. Scheduled airline service airports. 2. Intercity bus stations (includes stations served by regular scheduled intercity bus service such as Greyhound, Trailways, code sharing buses such as Amtrak Thruway feeder buses, supplemental buses that provide additional frequencies along rail routes, and airport bus services from locations that are outside of the airport metropolitan area). 3. Intercity and transit ferry terminals. 4. Light-rail transit stations. 5. Heavy-rail transit stations. 6. Passenger-rail stations on the national rail network served by intercity rail and/or commuter rail services. 7. Bikeshare stations belonging to bikeshare systems that are open to the general public, IT-automated, and station based (contain hubs to which users can grab and return a bike). The bikeshare stations only include those from the latest IPCD data collection in 2022. Please consult the latest bikeshare layer (https://doi.org/10.21949/1522020) for the most current information. The IPCD includes data elements describing the location of the above types of terminals as well as the availability of intercity, commuter, and transit rail; scheduled air service; intercity and transit bus; intercity and transit ferry services; and bikeshare availability. Transit bus service locations are not specifically included in the database. However, the status of transit bus as a connecting mode is included for each bikeshare facility in the database. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529035