The data being collected is to be used for several purposes: - Hydraulic/hydrologic modeling input - Work Order Management System integration - Map book production - Mobile redlining/correction submission tools

Results of Pulse's Survey of HTTPS support in Government Agency Websites.

This data set contains issuance data for State of Texas Issuers, including State agencies, Institutions of Higher Education and Conduit Borrowers. Excludes commercial paper and short-term variable rate notes. Data includes par (new money and refunding), purpose and sale type by the fiscal year of issuance.

Link to the Open Data site for the United States Census Bureau.

ERI dataset is location data (xyz) and resistivity data in excel format. DPT-EC dataset is depth, resistivity, and rate of penetration in excel format. This dataset is associated with the following publication: Fields, J., T. Tandy, T. Halihan, R. Ross, D. Beak, R. Neill, and J. Groves. Electrical Resistivity Imaging of an Enhanced Aquifer Recharge Site. Journal of Geophysics and Engineering. Oxford University Press, OXFORD, UK, 19(5): 1095-1110, (2022).

Timeseries data from 'PV_SHELF07 - 847' (pv_shelf07-847)

Archival Descriptions from the National Archives Catalog data set provides archival descriptions of the permanent holdings of the federal government in the custody of the National Archives and Records administration. The archival descriptions include information on traditional paper holdings, logical data records (electronic records), and artifacts.

Metadata for the OpenFEMA API data set fields. It contains descriptions, data types, and other attributes for each field.rnrnIf you have media inquiries about this dataset please email the FEMA News Desk FEMA-News-Desk@dhs.gov or call (202) 646-3272. For inquiries about FEMA's data and Open government program please contact the OpenFEMA team via email OpenFEMA@fema.dhs.gov.

Mayor's Order 2017-115 establishes a comprehensive data policy for the District government. The data created and managed by the District government are valuable assets and are independent of the information systems in which the data reside. As such, the District government shall: maintain an inventory of its enterprise datasets; classify enterprise datasets by level of sensitivity; regularly publish the inventory, including the classifications, as an open dataset; and strategically plan and manage its investment in data.The greatest value from the District’s investment in data can only be realized when enterprise datasets are freely shared among District agencies, with federal and regional governments, and with the public to the fullest extent consistent with safety, privacy, and security. For more information, please visit https://opendata.dc.gov/pages/edi-overview. Previous years of EDI can be found on Open Data.

Fellow Washingtonians, As Mayor of Washington, DC, I am proud to present Ready2Play, the District’s master plan for our parks and recreation facilities/activities. This plan reflects our shared priorities and showcases the importance of parks and recreation as we plan for our future.

Increase the number of degrees and certificates obtained from 40,484 in 2014 to 47,284 by 2018.

The facilities web service provides VA facility information. The VA facilities locator is a feature that is available across the enterprise, on any webpage, for the Department of Veterans Affairs. It is comprised of data from across the different facilities, and is updated multiple times a day by multiple personnel. This API gives external users the ability to interact with the most up to date information about VA facilities.

Polygon layer for SSA areas.

Site and device locations and information for IoT devices located in the Town of Cary, NC.Used as a part of the Stormwater Monitoring Dashboard

This data set contains information about the Department of Transportation's cybersecurity incident response tickets, incident response metrics, incident response time, vulnerability data, and remediation recommendations broken down by OA. The CSMC owns maintains, collects, and operates this data as a service for the entire department.

Lead in Drinking Water in Schools Test Results – Seqouyah

Quarter by quarter updates of the number of maps, charts and datasets made available to the public

Validation to ensure data and identity integrity. DAS will also ensure security compliant standards are met.

Density estimates of four mammal species in the upper subalpine and alpine zones of the Sierra Nevada range, 2008 - 2012. The estimates were derived from variable distance data collected 3-4 times per year at point count stations randomly located along line transects. There were 21 transects (10 km in length) that had been randomly selected from a pool of 53 potential routes, with 10 point count stations along each transect (minimum of 200 m spacing between stations). 45 stations were sampled in 2008 (5 stations on each of 9 transects), 60 stations were sampled in 2009 (5 stations on each of 12 transects),190 stations were sampled in 2010 (10 stations on each of 19 transects), 210 stations were sampled in 2011 (10 stations on each of 19 transects), and 170 stations were sampled in 2012 (10 stations on each of 17 transects). All counts were done in July and August each year. Replicate samples within a given year were done within 2-8 days of each other. All counts were done by single observers. The spreadsheet has eight worksheets, including five with density estimates for each species at different scales, one worksheet with definitions of the fields, one worksheet with the species names, and a worksheet that defines the scale and units of the estimates in the five worksheets for density

Data provided here is used by WDFW’s partners, government entities, schools, private businesses, and the general public. WDFW actively promotes inter-agency data exchange and resource sharing. Every effort is made to provide accurate, complete, and timely information on this site. However, some content may be incomplete or out of date. The content on this site is subject to change without notice. The Washington Department of Fish and Wildlife (WDFW) shall not be liable for any activity involving this data with regard to lost profits or savings or any other consequential damages; or the fitness for use of the data for a particular purpose; or the installation of the data, its use, or the results obtained.