This graph shows the receipts received for presidential campaign financing of the Democratic Party in each election cycle in the U.S. from 1979 to 2024. As of November 2024, around 2.34 billion U.S. dollars had been raised by Democratic presidential candidates.

This statistic shows the results of a 2012 survey in the United States regarding the most important problems in the current U.S. economy. The respondents were sorted by political party. In 2012, 27 percent of democrats, 38 percent of republicans and 30 percent of independent voters stated that the economy in general was the most crucial problem for the United States.

This is a tiled collection of the 3D Elevation Program (3DEP) and is one meter resolution. The 3DEP data holdings serve as the elevation layer of The National Map, and provide foundational elevation information for earth science studies and mapping applications in the United States. Scientists and resource managers use 3DEP data for hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. The elevations in this DEM represent the topographic bare-earth surface. USGS standard one-meter DEMs are produced exclusively from high resolution light detection and ranging (lidar) source data of one-meter or higher resolution. One-meter DEM surfaces are seamless within collection projects, but, not necessarily seamless across projects. The spatial reference used for tiles of the one-meter DEM within the conterminous United States (CONUS) is Universal Transverse Mercator (UTM) in units of meters, and in conformance with the North American Datum of 1983 ...

This statistic shows the latest polls regarding the 2018 United States midterm election prospects of the Democratic Party versus the Republican Party as of November 3, 2018. According to the RCP average, the Democrats are leading the Republicans by 7.3 percentage points as of November 3, 2018.

This is a tiled collection of the 3D Elevation Program (3DEP) and is 1/3 arc-second (approximately 10 m) resolution. The 3DEP data holdings serve as the elevation layer of The National Map, and provide foundational elevation information for earth science studies and mapping applications in the United States. Scientists and resource managers use 3DEP data for hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. The elevations in this DEM represent the topographic bare-earth surface. The seamless 1/3 arc-second DEM layers are derived from diverse source data that are processed to a common coordinate system and unit of vertical measure. These data are distributed in geographic coordinates in units of decimal degrees, and in conformance with the North American Datum of 1983 (NAD 83). All elevation values are in meters and, over the continental United States, are referenced to the North American Vertical Datum of 1988 (NAVD88). The seamless 1/3 arc-second DEM layer provides coverage of the conterminous United States, Hawaii, Puerto Rico, other territorial islands, and in limited areas of Alaska. The seamless 1/3arc-second DEM is available as pre-staged current and historical products tiled in GeoTIFF format. The seamless 1/3 arc-second DEM layer is updated continually as new data become available in the current folder. Previously created 1 degree blocks are retained in the historical folder with an appended date suffix (YYYMMDD) when they were produced. Other 3DEP products are nationally seamless DEMs in resolutions of 1, and 2 arc seconds. These seamless DEMs were referred to as the National Elevation Dataset (NED) from about 2000 through 2015 at which time they became the seamless DEM layers under the 3DEP program and the NED name and system were retired. Other 3DEP products include one-meter DEMs produced exclusively from high resolution light detection and ranging (lidar) source data and five-meter DEMs in Alaska as well as various source datasets including the lidar point cloud and interferometric synthetic aperture radar (Ifsar) digital surface models and intensity images. All 3DEP products are public domain.

SUPERSEDED --> See version 4.3

https://data.cnra.ca.gov/dataset/san-francisco-bay-and-sacramento-san-joaquin-delta-dem-for-modeling-version-4-3

Citation and Main Description:

This product is described in Chapter 5 of the 2018 DWR Delta Modeling Section annual report, produced jointly with USGS.

https://data.cnra.ca.gov/dataset/methodology-for-flow-and-salinity-estimates-in-the-sacramento-san-joaquin-delta-and-suisun-marsh/resource/84d4fd29-c839-4efa-82be-b58f7ed176db

Domain and Product

This product is a mutually compatible suite of DEMs covering most of the aquatic and terrestrial areas of the Bay-Delta. The product was derived from original point data collections, lidar and other DEMs. Also included in the resources are images and shapefiles describing the source data.

Changes between 4.1 and 4.2 are documented in the change log below. Changes prior to that are recorded in the 4.1 web page.

Changes in version 4 relative to prior products are limited to the region east of the Carquinez Strait (starting around Carquinez Bridge). To facilitate compatibility between products released by DWR and USGS/NOAA partners, DWR distributes the region west of the active work at 10m resolution but does not actively work in this region. The San Pablo Bay boundary of active revision in the present product in a place where its source data matches that of other Bay elevation models, e.g., the 2m seamless high-resolution bathymetric and topographic DEM of San Francisco Bay by USGS Earth Resources Observation and Science Center (EROS) (https://topotools.cr.usgs.gov/coned/sanfrancisco.php ), the 2010 San Francisco Bay DEM by National Oceanic and Atmospheric Administration (https://www.ngdc.noaa.gov/metaview/page?xml=NOAA/NESDIS/NGDC/MGG/DEM/iso/xml/741.xml&view=getDataView&header=none ) or the prior (version 3) 10m digital elevation model (https://data.cnra.ca.gov/dataset/san-francisco-bay-and-sacramento-san-joaquin-delta-dem-v3 ).The 10m DEM for the Bay-Delta is based on the first on the list, i.e. EROS’ 2m DEM for the Bay

Version: 4.2

• Time Completed: December 2020
• Horizontal Datum: NAD83
• Spheroid:GRS1980
• Projection:UTM_Zone_10N (meters)
• Vertical Datum:NAVD88 (meters)

Changes since 4.1

• Incorporate 1m DEMs from Cache Slough Complex (USGS, 2020) into 2m DEMs for Yolo and North Delta.
• Develop 1m DEM for Lindsey Slough Restoration area based on Handley DEM (UCD, 2015) and Lindsey Slough, Cache Sough, Liberty Island DEM (USGS, 2020) and and merge it into 2m Yolo DEM.
• Develop 2m DEM for Tom Paine Slough based on 2018 Bathymetry Survey (DWR, NCRO) and 2017 LiDAR (DWR) and merge it with 2m DEM for South Delta.
• Develop 2m DEM for Suisun Slough based on 2018 Bathymetry Survey (DWR, NCRO) and 2017 LiDAR (DWR) and merge it with 2m DEM for Montezuma Slough.
• Develop 2m DEM for Georgiana Slough based on 2019 Bathymetry Survey (DWR, NCRO) and 2017 LiDAR (DWR) and merge it with 2m DEM for North Delta.
• Develop 2m DEM for Sacramento River between its junctions with American River and Sutter Slough based on 2019 Bathymetry Survey (DWR, NCRO) and 2017 LiDAR (DWR) and merge it with 2m DEM for North Delta.
• Incorporate all the 2m additions and modifications done for Yolo, North Delta, Montezuma Slough and South Delta into the 10m DEM for Delta and Bay-Delta.

This statistic shows the polling average for candidates for the Democratic nomination in the Nevada caucus in 2020. As of February 2020, Vermont Senator Bernie Sanders was polling at 30 percent in Nevada, and former Vice President Joe Biden was polling at 16 percent.

According to a 2024 survey, Americans were politicall divided on whether or not they felt the United States made a mistake sending troops to fight in wars. While Democrats and Republicans were on the same page surrounding the two World Wars, there was more of a divide when it came to involvemnet in Vietnam and Iraq.

Dataset

This dataset was created by wgdesign2

Contents

A GIS polygon shapefile outlining the extent of the 14 individual DEM sections that comprise the seamless, 2-meter resolution DEM for the open-coast region of the San Francisco Bay Area (outside of the Golden Gate Bridge), extending from Half Moon Bay to Bodega Head along the north-central California coastline. The goal was to integrate the most recent high-resolution bathymetric and topographic datasets available (for example, Light Detection and Ranging (lidar) topography, multibeam and single-beam sonar bathymetry) into a seamless surface model extending offshore at least 3 nautical miles and inland beyond the +20 meter elevation contour.

Replication data and code for "Compassionate Democrats and Tough Republicans: How Ideology Shapes Partisan Stereotypes"

High resolution (1-2m spacing) digital elevation models (DEMs) covering portions of the state. The DEMs are derived from LIDAR data and depict the bare earth terrain in raster format. Multiple agencies (Federal, State, and County) provided the data. The DEMs can be downloaded through the NYS Orthos Online app (http://orthos.dhses.ny.gov/).

Varieties of Democracy (V-Dem) is a new approach to conceptualizing and measuring democracy. It is a collaboration among more than 50 scholars worldwide which is co-hosted by the Department of Political Science at the University of Gothenburg, Sweden; and the Kellogg Institute at the University of Notre Dame, USA.

With four Principal Investigators, two Program managers, fifteen Project Managers, more than thirty Regional Managers, almost 200 Country Coordinators, and approximately 2,800 Country Experts, the V-Dem project is one of the largest social science data collection projects focusing on research.

V-Dem collects data for 350+ indicators across a wide range of democracy aspects. Electoral democracy is in the centre and linked to this concept we find six additional dimensions of democracy: liberal, majoritarian, deliberative, participatory, consensual and egalitarian. In addition to a number of main indices, data is broken down into a number of components that are available to the user along with all indicators. Through the unique character of the database, old and new questions about the nature, growth and survival of democracy can be tested in a way not possible before.

Data is available for 177 countries from 1900 to 2016. Altogether, the database consists of approximately 17 million data points. The database is updated annually and new datasets are launched every year in the spring.

The dataset is available for download here: https://www.v-dem.net/en/data/data-version-7-1/

The data can also be explored online via: https://www.v-dem.net/en/analysis/

Purpose:

The world's largest database on democracy. The database provides 350+ indicators for 177 countries 1900-2016.

This resource contains Lidar-DEM collection status shapefiles from the Texas Natural Resources Information System (TNRIS) [http://tnris.org]. November 2023 updates: this year, TNRIS changed its name to Texas Geographic Information Office (TxGIO). The domain name hasn't changed yet, but the data hub is continually evolving. See [1], [2] for current downloadable data.

For purposes of Hurricane Harvey studies, the 1-m DEM for Harris County (2008) has also been uploaded here as a set of 4 zipfiles containing the DEM in tiff files. See [1] for a link to the current elevation status map and downloadable DEMs.
Project name: H-GAC 2008 1m Datasets: 1m Point Cloud, 1M Hydro-Enforced DEM, 3D Breaklines, 1ft and 5ft Contours Points per sq meter: 1 Total area: 3678.56 sq miles Source: Houston-Galveston Area Council (H-GAC) Acquired by: Merrick, QA/QC: Merrick Catalog: houston-galveston-area-council-h-gac-2008-lidar

References: [1] TNRIS/TxGIO StratMap elevation data [https://tnris.org/stratmap/elevation-lidar/] [2] TNRIS/TxGIO DataHub [https://data.tnris.org/]

TanDEM-X (TerraSAR-X add-on for Digital Elevation Measurements) is an Earth observation radar mission that consists of a SAR interferometer built by two almost identical satellites flying in close formation. With a typical separation between the satellites of 120m to 500m a global Digital Elevation Model (DEM) has been generated. The main objective of the TanDEM-X mission is to create a precise 3D map of the Earth's land surfaces that is homogeneous in quality and unprecedented in accuracy. The data acquisition was completed in 2015 and production of the global DEM was completed in September 2016. The absolute height error is with about 1m an order of magnitude below the 10m requirement.

The TanDEM-X 12m DEM is the nominal product variant of the global Digital Elevation Model (DEM) acquired in the frame of the German TanDEM-X mission between 2010 and 2015 with a spatial resolution of 0.4 arcseconds (12m at the equator). It covers all Earth’s landmasses from pole to pole.

For more information concerning the TanDEM-X mission, the reader is referred to: https://www.dlr.de/dlr/en/desktopdefault.aspx/tabid-10378/

Since 1988, the share of adults in the U.S. who identify as political independents has continued to grow, often surpassing the that of Democrats or Republicans. In 2024, approximately 43 percent of adults rejected identification with the major parties, compared to 28 percent of respondents identified with the Democratic Party, and 28 percent with the Republican Party.

Digital elevation model (DEM) data are arrays of regularly spaced elevation values referenced horizontally either to a Universal Transverse Mercator (UTM) projection or to a geographic coordinate system. The grid cells are spaced at regular intervals along south to north profiles that are ordered from west to east. The U.S. Geological Survey (USGS) produces five primary types of elevation data: 7.5-minute DEM, 30-minute DEM, 1-degree DEM.These datasets were derived from USGS 7.5' DEM Quads for the main 8 Hawaiian Islands. Individual DEM quads were converted to a common datum, and vertical unit, and subsequently mosaicked in ArcGIS 9.x. The DEM for Hawaii (Big Island) has a coordinate system of NAD83 UTM5N. The DEM for the remaining 7 islands (Maui, Kahoolawe, Lanai, Molokai, Oahu, Kauai and Niihau) have a coordinate system of NAD83 UTM4N. All rasters have a spatial resolution of 10 meters and are in the ESRI grid format. On this metadata sheet, the bounding coordinates and row and column counts are for a hypothetical 10m grid that would contain the 8 main Hawaiian Islands. For bounding coordinates and the number of rows and columns for each actual, individual DEM, users should consult their respective layer properties.

Aerial Cartographics of America (ACA) collected 750 square miles covering Baltimore County. The nominal pulse spacing for this project was 1 point every 0.7 meters. Dewberry used proprietary procedures to classify the LAS according to project specifications: 0-Never Classified, 1-Unclassified, 2-Ground, 7-Low Noise, 9-Water, 10-Ignored Ground due to breakline proximity. Dewberry produced 3D breaklines and combined these with the final LiDAR data to produce seamless hydro-conditioned DEMs for the project area. The data was formatted according to the Baltimore County tile naming convention.This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link: https://lidar.geodata.md.gov/imap/rest/services/Baltimore/MD_baltimore_dem_m/ImageServer

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Digital Elevation Models (DEM) of Angelo Coast Range Reserve and South Fork Eel Watershed in Mendocino County, CA.

This DVD contains a zip file with derived DEMs and coverages. They were processed from the original angelo 1meter DEM.

Warning: it is 8.2GB when uncompressed.

They all are 1x1 meter grid resolution, using UTM, zone 10, NAD83 projection. NCALM, University of Florida flew the LIDAR and processed it to 9column ascii files. They also created the bare-earth DEM. NCALM, UC Berkeley processed the DEMs and is responsible for distribution.

The National Center for Airborne Laser Mapping (NCALM) processed the source DEM as follows: 1. merged the tiles into one grid. 2. reprojected from geographic to UTM, zone 10, nad83 projection using bilinear interpolation. 3. Ran a series of analyses on the dataset to produce the folling DEMS GRIDS: - eel1mdemab: A over B: Area over gridcell size. - eel1mdemacc: Flow accumulation. Grid shows how many other grids flow into each square. Used for watershed delineation and for channel creation. - eel1mdemdir: Azimuth. Shows direction from north a grid cell is facing. Only 8 directions used, moving clockwise. - eel1mdemfil: Sinkfill. To get the flow accumulation, you must fill holes and pockets in the elevation model. This grid is essential a step in the processing. - eel1mdemrad: Slope of the gridcell. Coverages: - eelchannel: Result of Bill Dietrich's & Dino Belugi's work on channel formation. This is derived from the grids listed above. - eelcontour05: 5 meter topographic contours of the bare-earth DEM. - eelcontour10: 10 meter topographic contours of the bare-earth DEM.

Any questions should be directed to NCALM. http://calm.geo.berkeley.edu/ncalm

Dino Belugi can answer processing questions. dino@eps.berkeley.edu

Collin Bode can answer general questions about the dataset. collin@berkeley.edu