The digital data was generated from the Geographic Information System of the Railroad Commission of Texas. Base map information was obtained directly from U.S. Geological Survey 7.5 minute quadrangle maps. Patent Survey lines from Texas General Land Office maps were interpreted as accurately as possible over the US Geological Survey base. Oil and gas well data or pipeline data (if included) was obtained from public records at the Railroad Commission. The information provided by this system is being continually updated and refined. The data is intended solely for the internal use of the Railroad Commission, which makes no claim as to its accuracy or completeness.Field Definitions can be found at: https://rrc.texas.gov/media/kmld3uzj/digital-map-information-user-guide.pdf

This topographic map is designed to be used as a basemap and a reference map. The map has been compiled by Esri and the ArcGIS user community from a variety of best available sources. The map is intended to support the ArcGIS Online basemap gallery. For more details on the map, please visit the World Topographic Map service description.

This layer is sourced from wwwgisp.rrc.state.tx.us.

The GIS Viewer allows you to view information about wells, pipelines, surveys, LPG/CNG/LNG, Operator Cleanup Program, Voluntary Cleanup Program, Brownfield Response Program, Commercial Waste Disposal sites, Discharge Permits and related features in a map view. Contact Email: records@rrc.texas.gov

This resource is a repository of the map products for the Annual Irrigation Maps - Republican River Basin (AIM-RRB) dataset produced in Deines et al. 2017. It also provides the training and test point datasets used in the development and evaluation of the classifier algorithm. The maps cover a 141,603 km2 area in the northern High Plains Aquifer in the United States centered on the Republican River Basin, which overlies portions of Colorado, Kansas, and Nebraska. AIM-RRB provides annual irrigation maps for 18 years (1999-2016). Please see Deines et al. 2017 for full details.

Preferred citation: Deines, J.M., A.D. Kendall, and D.W. Hyndman. 2017. Annual irrigation dynamics in the US Northern High Plains derived from Landsat satellite data. Geophysical Research Letters. DOI: 10.1002/2017GL074071

Map Metadata Map products are projected in EPSG:5070 - CONUS Albers NAD83 Raster value key: 0 = Not irrigated 1 = Irrigated 254 = NoData, masked by urban, water, forest, or wetland land used based on the National Land Cover Dataset (NLCD) 255 = NoData, outside of study boundary

Training and test point data sets supply coordinates in latitude/longitude (WGS84). Column descriptions for each file can be found below in the "File Metadata" tab when the respective file is selected in the content window.

Corresponding author: Jillian Deines, jillian.deines@gmail.com

Dataset of 2Kx2K image tiles cropped from Taiwan Historical Maps System for the ICDAR'25 Competition on Historical Map Text Detection, Recognition, and Linking.

This collection contains topographic maps related to Taiwan, covering detailed records of the terrain, topography, and geographic names (in traditional Chinese).

Annotations and images follow the format described at the competition website and can be evaluated using the official evaluation repository script.

Please note the we also provide an extra synthetic dataset in traditional Chinese for training, which is released under the record: "SynthMap+ (Traditional Chinese) Synthetic Train Data for ICDAR'25 MapText Competition" (10.5281/zenodo.14502179).

Important: All the valid characters shall fall in the following unicode range (otherwise ``illegible'' of the text instance is set to True):

0x3400-0x4DBF, 0x4E00-0x9FFF, 0xF900-0xFAFF, 0x20000-0x2A6DF, 0x2A700-0x2EBEF

Credit report of Rrc Construction contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

This resource is a repository of the annual subsurface drainage (so-called "Tile Drainage") maps for the Bois de Sioux Watershed (BdSW), Minnesota and the Red River of the North Basin (RRB), separately. The RRB maps cover a 101,500 km2 area in the United States, which overlies portions of North Dakota, South Daokta, and Minnesota. The maps provide annual subsurface drainage system maps for recent four years, 2009, 2011, 2014, and 2017 (In 2017, the subsurface drainage maps including the Sentinel-1 Synthetic Aperture Radar as an additional input are also provided). Please see Cho et al. (2019) in Water Resources Research (WRR) for full details.

Map Metadata (Proj=longlat +datum=WGS84) Raster value key: 0 = NoData, masked by non-agricultural areas (e.g. urban, water, forest, or wetland land) and high gradient cultivated crop areas (slope > 2%) based on the USGS National Land Cover Dataset (NLCD) and the USGS National Elevation Dataset 1 = Undrained (UD) 2 = Subsurface Drained (SD)

Preferred citation: Cho, E., Jacobs, J. M., Jia, X., & Kraatz, S. (2019). Identifying Subsurface Drainage using Satellite Big Data and Machine Learning via Google Earth Engine. Water Resources Research, 55. https://doi.org/10.1029/2019WR024892

Corresponding author: Eunsang Cho (ec1072@wildcats.unh.edu)

Credit report of Rrc Teclecommunications Ltd contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

Data set of 2Kx2K image tiles cropped from Napoleonic Cadastre maps of the Val de Marne Archive for the ICDAR'25 Competition on Historical Map Text Detection, Recognition, and Linking.

Annotations and images follow the format described at the competition website and can be evaluated using the official evaluation repository script.

The allowed characters set contains the following items (words should not contain spaces, # has a special meaning which indicates an unreadable character and should not be used in predictions):
abcdefghijklmnopqrstuvwxyzàâçéèêëîïôùûüœÿABCDEFGHIJKLMNOPQRSTUVWXYZÀÂÇÉÈÊËÎÏÔÙÛÜŒŸ0123456789'.,-+/*()&=#

Please note that the ground truth for this dataset is kept private until further notice to enable post-competition submissions to the online platform.

Original images available at https://archives.valdemarne.fr/recherches/archives-en-ligne/cadastre-napoleonien as of Jan., 9th 2025.

Texas Survey System (TXSS) Data for use with GIS mapping software, databases, and web applications are from Caliper Corporation and contain boundaries for Texas RRC Districts, Texas Bay Tracts, and Texas Land Survey Layer.

Data set of 2Kx2K image tiles cropped from maps of the David Rumsey collection for the ICDAR'24 Competition on Historical Map Text Detection, Recognition, and Linking.

Annotations and images follow the format described at the competition website and can be evaluated using the official evaluation repository script.

Important: v1.1 fixes an image channel order error, superseding the prior version. v1.2 corrects group links among several annotations. v1.3 strips markup that inadvertently remained in some annotation transcriptions.

Annotations: Copyright 2024 UMN Knowledge Computing Lab, CC-BY-NC-SA 4.0 International.
Images: David Rumsey Map Collection, David Rumsey Map Center, Stanford Libraries. CC-BY-NC-SA 3.0 Unported.

Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

Data set of 2Kx2K image tiles cropped from Napoleonic Cadastre maps of the Val de Marne Archive for the ICDAR'24 Competition on Historical Map Text Detection, Recognition, and Linking.

Annotations and images follow the format described at the competition website and can be evaluated using the official evaluation repository script.

Original images available at https://archives.valdemarne.fr/recherches/archives-en-ligne/cadastre-napoleonien as of 1 Feb. 2024.