The Consumer Behavior database is derived from an analysis of ‘doublebase’ survey data using geodemographic market segmentation. Each of the approximately 40,000 records in the survey is geocoded then assigned the geodemographic market segment code of the block group. The results are then summarized for each variable over the sixty-eight segments, in effect providing the average value for each market segment. For example, a variable such as “Shopped at Macy’s” is computed by summarizing the records for each segment as a yes/no response, then finding the average percentage of households in each segment who shopped at Macy’s. This is often referred to as a profile.

The profile is then applied to geographic areas by making the assumption that households in demographically similar neighborhoods will tend to have similar consumption patterns as a result of their similar economic means, life stage, and other characteristics. The result is a series of estimates for geographic areas which measure the relative propensity of consumers in each geographic area to shop at particular stores, own various household items, and engage in activities.

Consumer Behavior Categories include; • Apparel • Appliances • Attitudes and Organizations • Advertising • Media Advertising • Media Attitudes • Automobiles • Buying Habits • Consumer Confidence • Financial • Food • Health • Intended Purchases • Political Outlook • Public Activities • Sports • Technology • Vacations • Automotive • Baby • Beverages • Computer • Electronics • Family Restaurants • Fast Food and Drive-In Restaurants • Financial • Groceries • Health & Beauty • Health & Medical • Home Furnishings and Equipment • Insurance • Internet • Leisure • Media Radio • Media Read • Media Television • Pets • Shopping • Sports • Telephone • Travel • Video

This study uses historical records from 36 archives in the United States to analyze 8,437 enslaved people's sale and/or appraisal prices from 1797 to 1865.

The purpose of this data collection was to record information about the cases, litigants, amicus participants, and the opinions decided by the Supreme Court under the tenure of Chief Justices Earl Warren (1953-1969) and Warren Burger (1969-1986) and others through 1993. The approach of this study was to proceed deductively, rather than seek to infer values of a particular group of justices. This method allows the investigation of value conflicts that are not litigated, as well as the value conflicts represented in Supreme Court opinions. Opinions are coded on the basis of their literal content, and the data are organized around the opinions. There are eight types of opinions. Within each type, up to six topics are coded, and within each topic, up to two values are coded. There are three integrated parts to this study, each of which can be linked to the other files by specific variables. Part 1, Supreme Court Database, contains basic case attributes from UNITED STATES SUPREME COURT JUDICIAL DATABASE, 1953-1993 TERMS (ICPSR 9422) and the opinions given in the cases. Part 2, Briefs, gives information on the filers and co-filers for cases in which amicus curie briefs were filed. Part 3, Groups, lists the litigants' names. The distinct aspects of the Court's decisions are covered by six types of variables in Part 1: (1) identification variables including case citation, docket number, unit of analysis, and number of records per unit of analysis, (2) background variables offering information on origin of case, source of case, reason for granting cert, parties to the case, direction of the lower court's decision, and manner in which the Court takes jurisdiction, (3) chronological variables covering date of term of court, chief justice, and natural court, (4) substantive variables including multiple legal provisions, authority for decision, issue, issue areas, and direction of decision, (5) outcome variables supplying information on form of decision, disposition of case, winning party, declaration of unconstitutionality, and multiple memorandum decisions, and (6) voting and opinion variables pertaining to the vote in the case and to the direction of the individual justices' votes.

The USGS Land Cover program has combined the tried-and-true methodologies from premier land cover projects, National Land Cover Database (NLCD) and Land Change Monitoring, Assessment, and Projection (LCMAP), together with modern innovations in geospatial deep learning technologies to create the next generation of land cover and land change information. The product suite is called, “Annual NLCD” and includes six annual products that represent land cover and surface change characteristics of the U.S.: 1) Land Cover, 2) Land Cover Change, 3) Land Cover Confidence, 4) Fractional Impervious Surface, 5) Impervious Descriptor, and 6) Spectral Change Day of Year. These land cover science product algorithms harness the remotely sensed Landsat data record to provide state-of-the-art land surface change information needed by scientists, resource managers, and decision-makers. Annual NLCD uses a modernized, integrated approach to map, monitor, synthesize, and understand the complexities of land use, cover, and condition change. With this first release, Annual NLCD, Collection 1.0, the six products are available for the Conterminous U.S. for 1985 – 2023. Questions about the Annual NLCD product suite can be directed to the Annual NLCD mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or custserv@usgs.gov. See included spatial metadata for more details. The Land Cover Change Count product shows the number of times Land Cover changes (i.e. Annual Land Cover Change) over the entire period.

READ is EPA's authoritative source for information about Agency information resources, including applications/systems, datasets and models. READ is one component of the System of Registries (SoR).

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

Direct CHW effect/contribution as recognised by study authors.

This data from USAFacts provides US COVID-19 case and death counts by state and county. This data is sourced from the CDC, and state and local health agencies. For more information, see the USAFacts site on the Coronavirus. Interactive data visualizations are also available via USAFacts. This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery . This dataset has significant public interest in light of the COVID-19 crisis. All bytes processed in queries against this dataset will be zeroed out, making this part of the query free. Data joined with the dataset will be billed at the normal rate to prevent abuse. After September 15, queries over these datasets will revert to the normal billing rate.

This 30-meter resolution data set represents the tree canopy layer for the conterminous United States for the 2001 time period. The data have been arranged into four tiles to facilitate timely display and manipulation within a Geographic Information System, browse graphic: nlcd01-partition.jpg The National Land Cover Data Set for 2001 was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of Federal agencies (www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection Agency (USEPA), the U.S. Department of Agriculture (USDA), the U.S. Forest Service (USFS), the National Park Service (NPS), the U.S. Fish and Wildlife Service (USFWS), the Bureau of Land Management (BLM), and the USDA Natural Resources Conservation Service (NRCS). One of the primary goals of the project is to generate a current, consistent, seamless, and accurate National Land Cover Database (NLCD) circa 2001 for the United States at medium spatial resolution. For a detailed definition and discussion on MRLC and the NLCD 2001 products, refer to Homer and others (2004) and http://www.mrlc.gov/mrlc2k.asp. The NLCD 2001 was created by partitioning the United States into mapping-zones. A total of 68 mapping-zones browse graphic: nlcd01-mappingzones.jpg were delineated within the conterminous United States based on ecoregion and geographical characteristics, edge-matching features, and the size requirement of Landsat mosaics. Mapping-zones encompass the whole or parts of several states. Questions about the NLCD mapping zones can be directed to the NLCD 2001 Land Cover Mapping Team at the USGS/EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov.

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

This repo contains the npz files of the database that is required by the RANGE model. This dataset is associated with the paper RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings (CVPR 2025). Code: https://github.com/mvrl/RANGE

We present TRAD: Thermal traits of anurans database for the Southeastern United States, a database of thermal trait values related to physiological (critical thermal minima and maxima, preferred temperature, mass) and behavioral thermoregulation (activity period, retreat emergence temperature, basking temperature, foraging temperature minimum and maximum) for 40 anuran species found within the southeastern United States. Using a species-centric approach, we collated this database by first identifying trait values from large reservoirs of amphibian ecology and natural history and then searching the literature using primarily Web of Science to thoroughly identify available thermal trait data. The TRAD database provides a data reservoir for thermal trait data that extends the ecological trait data stored in ATraiU (Moore et al., 2020). In total, the TRAD database contains 858 reported trait values from 267 peer reviewed papers, dissertations, thesises, or rarely guides. TRAD has a 43 ...

United-States-Minor-Outlying-Islands Whois Database, discover comprehensive ownership details, registration dates, and more for domains registered in United-States-Minor-Outlying-Islands with Whois Data Center.

Comprehensive dataset containing 1,504 verified Social services organization businesses in Illinois, United States with complete contact information, ratings, reviews, and location data.

The Flood Insurance Rate Map (FIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The FIRM Database is derived from Flood Insurance Studies (FISs), previously published FIRMs, flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). This file is georeferenced to the Earth's surface using the Geographic Coordinate System (GCS) and North American Datum of 1983 (NSRS-2007).

US B2B Contact Database | 200M+ Verified Records | 95% Accuracy | API/CSV/JSON Elevate your sales and marketing efforts with America's most comprehensive B2B contact data, featuring over 200M+ verified records of decision-makers, from CEOs to managers, across all industries. Powered by AI and refreshed bi-weekly, this dataset ensures you have access to the freshest, most accurate contact details available for effective outreach and engagement.

Key Features & Stats:

200M+ Decision-Makers: Includes C-level executives, VPs, Directors, and Managers.

95% Accuracy: Email & Phone numbers verified for maximum deliverability.

Bi-Weekly Updates: Never waste time on outdated leads with our frequent data refreshes.

50+ Data Points: Comprehensive firmographic, technographic, and contact details.

Core Fields:

Direct Work Emails & Personal Emails for effective outreach.

Mobile Phone Numbers for cold calls and SMS campaigns.

Full Name, Job Title, Seniority for better personalization.

Company Insights: Size, Revenue, Funding data, Industry, and Tech Stack for a complete profile.

Location: HQ and regional offices to target local, national, or international markets.

Top Use Cases:

Cold Email & Calling Campaigns: Target the right people with accurate contact data.

CRM & Marketing Automation Enrichment: Enhance your CRM with enriched data for better lead management.

ABM & Sales Intelligence: Target the right decision-makers and personalize your approach.

Recruiting & Talent Mapping: Access CEO and senior leadership data for executive search.

Instant Delivery Options:

JSON – Bulk downloads via S3 for easy integration.

REST API – Real-time integration for seamless workflow automation.

CRM Sync – Direct integration with your CRM for streamlined lead management.

Enterprise-Grade Quality:

SOC 2 Compliant: Ensuring the highest standards of security and data privacy.

GDPR/CCPA Ready: Fully compliant with global data protection regulations.

Triple-Verification Process: Ensuring the accuracy and deliverability of every record.

Suppression List Management: Eliminate irrelevant or non-opt-in contacts from your outreach.

US Business Contacts | B2B Email Database | Sales Leads | CRM Enrichment | Verified Phone Numbers | ABM Data | CEO Contact Data | US B2B Leads | US prospects data

Comprehensive dataset of 20 Media houses in Washington, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

The Population online databases contain data from the US Census Bureau. The Census Estimates online database contains county-level population counts for years 1970 - 2000. The data comprise the April 1st Census counts for years 1970, 1980, 1990 and 2000, the July 1st intercensal estimates for years 1971-1979 and 1981-1989, and the July 1st postcensal estimates for years 1991-1999. The Census Projections online database contains population projections for years 2004-2030 by year, state, age, race and sex, produced by the Census Bureau in 2005. The data are produced by the United States Department of Commerce, U.S. Census Bureau, Population Division.

Comprehensive dataset containing 39 verified Medical school businesses in Alabama, United States with complete contact information, ratings, reviews, and location data.

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Borehole. The data include parameters of borehole with a geographic location of United States Of America. The time period coverage is from 450 to -16 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.