The objective of this project was to develop system designs for programs to monitor travel time reliability and to prepare a guidebook that practitioners and others can use to design, build, operate, and maintain such systems. Generally, such travel time reliability monitoring systems will be built on top of existing traffic monitoring systems. The focus of this project was on travel time reliability. The data from the monitoring systems developed in this project – from both public and private sources –included, wherever cost-effective, information on the seven sources of non-recurring congestion. This data was used to construct performance measures or to perform various types of analyses useful for operations management as well as performance measurement, planning, and programming. The datasets in the attached ZIP file support SHRP 2 reliability project L38B, "Pilot testing of SHRP 2 reliability data and analytical products: Minnesota." This report can be accessed via the following URL: https://rosap.ntl.bts.gov/view/dot/3608 This ZIP file package, which is 22.1 MB in size, contains 6 Microsoft Excel spreadsheet files (XLSX). This file package also contains 3 Comma Separated Value files (CSV). The XLSX and CSV files can be opened using Microsoft Excel 2010 and 2016. The CSV files can be opened using most available text editing programs.
The objective of this project was to develop system designs for programs to monitor travel time reliability and to prepare a guidebook that practitioners and others can use to design, build, operate, and maintain such systems. Generally, such travel time reliability monitoring systems will be built on top of existing traffic monitoring systems. The focus of this project was on travel time reliability. The data from the monitoring systems developed in this project – from both public and private sources –included, wherever cost-effective, information on the seven sources of non-recurring congestion. This data was used to construct performance measures or to perform various types of analyses useful for operations management as well as performance measurement, planning, and programming. The datasets in this zip file, which is 338.39 MB in size, are in support of SHRP 2 reliability project L38A, "Pilot testing of SHRP 2 reliability data and analytical products: Southern California." This report can be accessed via the following URL: https://rosap.ntl.bts.gov/view/dot/3611 This zip file contains 11 files, including 8 Microsoft Excel worksheets (XLSX), 2 Comma Separated Values (CSV), and 1 Zip Package (PKZIP) files. The Microsoft Excel worksheets can be opened using the 2010 and 2016 versions of Microsoft Word, the CSV files can be opened using most text editors, and the PKZIP files can be opened using most zip file extraction programs.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Abstract
Hydrothermal alteration and lithological maps* for the Aramo pilot site, using the methodology developed in the frame of the S34I project.
This depository contains data generated within the European S34 project.
[Under construction] Data is currently being curated and updated. Specifically, the maps provided were generated with no upsampling of training data. New maps are expected using synthetic data generated from the original training set. The dataset will be made public once the process is finalized.
*Raster maps were vectorized for easier manipulation and lower data size
Metadata information
Identification |
|
Full Title |
Lithological/alteration maps for CRM exploration from Aramo (Spain) pilot site |
Abstract |
Hydrothermal alteration and lithological maps for the Aramo pilot site, using the methodology developed in the frame of the S34I project. |
Keywords |
Earth observation; critical raw materials; cobalt; nickel; mineral exploration; remote sensing |
Pilot area |
Aramo |
Associated resources | |
Language |
English |
URL |
|
Categories |
Remote sensing, geology |
Temporal reference |
|
Creation date (dd.mm.yyyy) |
27.06.2025 |
Revision date (dd.mm.yyyy) |
|
Quality and validity |
|
Representation type |
Vector data |
Format |
*.shp |
Lineage |
|
Spatial resolution |
|
Positional accuracy |
|
Maintenance information |
Dataset under construction: data is currently being curated and updated. |
Coordinate system |
Datum WGS 84, UTM zone 30N |
Constraints related to access and use | |
Use limitation |
None |
Access constraint |
Temporary |
Public/Private |
Private The dataset will be made public once the curation process is finalized. |
Responsible organisation |
|
Responsible Contact |
Joana Cardoso Fernandes | joana.fernandes@fc.up.pt |
Responsible Party |
UPORTO |
Metadata on metadata |
|
Contact |
Joana Cardoso Fernandes | joana.fernandes@fc.up.pt |
Metadata language |
English |
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The objective of this project was to develop system designs for programs to monitor travel time reliability and to prepare a guidebook that practitioners and others can use to design, build, operate, and maintain such systems. Generally, such travel time reliability monitoring systems will be built on top of existing traffic monitoring systems. The focus of this project was on travel time reliability. The data from the monitoring systems developed in this project – from both public and private sources –included, wherever cost-effective, information on the seven sources of non-recurring congestion. This data was used to construct performance measures or to perform various types of analyses useful for operations management as well as performance measurement, planning, and programming. The datasets in the attached ZIP file support SHRP 2 reliability project L38B, "Pilot testing of SHRP 2 reliability data and analytical products: Minnesota." This report can be accessed via the following URL: https://rosap.ntl.bts.gov/view/dot/3608 This ZIP file package, which is 22.1 MB in size, contains 6 Microsoft Excel spreadsheet files (XLSX). This file package also contains 3 Comma Separated Value files (CSV). The XLSX and CSV files can be opened using Microsoft Excel 2010 and 2016. The CSV files can be opened using most available text editing programs.