The Central Valley Angler Survey, or CVAS, monitors sport fisheries in the Sacramento River system, from the Carquinez Strait to Keswick Dam near Redding, and on the lower Mokelumne, Yuba, Calaveras, American, and Feather rivers. CVAS was a year-round survey from 1991-1994, 1998-2002, and 2006-2016, and included the Yuba and Calaveras rivers during portions of those periods. During fiscal years (FY) 2017-2020, CVAS was scaled back to a 5-1/2 month survey, focused on the Chinook Salmon sport fishery from July 16 through December 31, but resumed year-round surveying beginning FY 2021. Data are collected to estimate angler effort, catch, and harvest of key species using expansions of spatially and temporally stratified data. Data collected from 1991 through 2016 were used to generate estimates of fishing effort, catch, and harvest of Chinook Salmon, steelhead trout, Rainbow Trout, White Sturgeon, Sacramento Splittail (2007-2016), Striped Bass, and American Shad. During fiscal years 2017-2020, CVAS focused only on generating estimates of fishing effort, catch, and harvest of Chinook Salmon in support of the West Coast Chinook Salmon management process. Data collected are based on eight survey runs per month in each of 24-27 survey sections that cover the entire survey area. Data include counts of boats and angling parties in each survey section to estimate fishing effort on a daily timestep. Data are also collected during angler interviews and include information about individual angler effort, and biological data on the catch. Heads are collected from Chinook Salmon that possess a clipped adipose fin to recover coded-wire tags that provide information about the hatchery origin of the fish.

Biological information collected on the catch of anglers encountered by survey staff. Data includes location, species, length, weight, any external markings or tags observed, scale sample collection information, and sex of fish.

This data and metadata were submitted by California Department of Fish and Wildlife (CDFW) Staff though the Data Management Plan (DMP) framework with the id: DMP000421. For more information, please visit https://wildlife.ca.gov/Data/Sci-Data.

The East Asian Social Survey (EASS) is a biennial social survey project that serves as a cross-national network of the following four General Social Survey type surveys in East Asia: Chinese General Social Survey (CGSS), Japanese General Social Survey (JGSS), Korean General Social Survey (KGSS), Taiwan Social Change Survey (TSCS), and comparatively examines diverse aspects of social life in these regions. Survey information in this module focused on issues that affected overall health, such as specific conditions, physical functioning, aid received from family members or friends when needed, and lifestyle choices. Topics included activities respondents were able to perform and how they were affected socially in light of specific physical and mental health conditions. Respondents were asked to provide health conditions they were suffering from, such as hypertension, diabetes, heart disease, and how these conditions were limiting with respect to general health, physical functioning, emotional and mental health, as well as social functioning. Other topics included participation and frequency of lifestyle habits that affected overall health, as well as how often respondents visited the doctor. Respondents were also queried on whether they sought out alternative, non-traditional homeopathic care and whether family, friends, or co-workers listened to their personal problems and provided support financially. Additional topics include the environment and pollution, neighborhood amenities, fear of aging, addiction, and body image. Demographic information specific to the respondent and their spouse includes age, sex, marital status, education, employment status and hours worked, occupation, earnings and income, religion, class, size of community, and region.

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Pre-processed survey data from the Wetland Habitat Assessment Protocol survey. These files result from following WHAP SOP 3A and 3B, which includes data quality control and cleanup, GIS data intersects, and flattening related tables to produce these files. We used the WHAP data pre-processing scripts for this process (see ServCat reference 157116).

SSURGO consists of spatial data and a comprehensive relational database with tables that describe soil properties, interpretations and productivity values. The USDA Natural Resources Conservation Service (NRCS, formerly Soil Conservation Service) provides a download of the statewide SSURGO database that includes vector and raster spatial data, database tables and their relationship classes, and a user guide. To access SSURGO, go to the USDA NRCS Geospatial Data Gateway. To download the database, on the right side of the page, click on the Direct Data Download link under, I Want To... The Direct Data / NAIP Download page will then open. Click on the Soils Geographic Databases link. Then click on the folder named gSSURGO by State (date in folder name). Scroll through the list and select gSSURGO_NJ.zip. Then click on the Download button on the upper right. A message will open that Your Download is In Progress. You will then be prompted to select a file download location.

Selected variables from the most recent ACS Community Survey (Released 2023) aggregated by Community Area. Additional years will be added as they become available. The underlying algorithm to create the dataset calculates the % of a census tract that falls within the boundaries of a given community area. Given that census tracts and community area boundaries are not aligned, these figures should be considered an estimate. Total population in this dataset: 2,647,621 Total Chicago Population Per ACS 2023: 2,664,452 % Difference: -0.632% There are different approaches in common use for displaying Hispanic or Latino population counts. In this dataset, following the approach taken by the Census Bureau, a person who identifies as Hispanic or Latino will also be counted in the race category with which they identify. However, again following the Census Bureau data, there is also a column for White Not Hispanic or Latino. Code can be found here: https://github.com/Chicago/5-Year-ACS-Survey-Data Community Area Shapefile: https://data.cityofchicago.org/Facilities-Geographic-Boundaries/Boundaries-Community-Areas-current-/cauq-8yn6 Census Area Python Package Documentation: https://census-area.readthedocs.io/en/latest/index.html

AHA Annual Survey Database™ for Fiscal Year 2022 is a comprehensive hospital database for peer comparisons, market analysis, and health services research. It is produced primarily from the AHA Annual Survey of Hospitals, which has been administered by the American Hospital Association (AHA) since 1946. The survey responses are supplemented by data drawn the U.S. Census Bureau, hospital accrediting bodies, and other organizations.

This data set is a Microsoft Access database containing detailed station data (station name number, date, location, depth, time, and bottom temperature) as well as species, fish counts and measurements, and habitat data derived from the raw video and still images and from chevron fish traps.

AHA Annual Survey Database™ for Fiscal Year 2017 is a comprehensive hospital database for peer review benchmarking, market analysis, and health services research. It is produced primarily from the AHA Annual Survey of Hospitals, which has been administered by the American Hospital Association (AHA) since 1946. The survey responses are supplemented by data drawn the U.S. Census Bureau, hospital accrediting bodies, and other organizations.

Abstract

The Country Opinion Survey in Serbia assists the World Bank Group (WBG) in gaining a better understanding of how stakeholders in Serbia perceive the WBG. It provides the WBG with systematic feedback from national and local governments, multilateral/bilateral agencies, media, academia, the private sector, and civil society in Serbia on 1) their views regarding the general environment in Serbia; 2) their overall attitudes toward the WBG in Serbia; 3) overall impressions of the WBG’s effectiveness and results, knowledge work and activities, and communication and information sharing in Serbia; and 4) their perceptions of the WBG’s future role in Serbia.

Geographic coverage

Belgrade and other regions

Kind of data

Sample survey data [ssd]

Sampling procedure

From March 2023 to May 2023, a total of 244 stakeholders of the WBG in Serbia were invited to provide their opinions about the WBG’s work in the country by participating in a Country Opinion Survey (COS) . Participants were drawn from the Office of the President, Prime Minister, or Minister; government institutions; local governments; bilateral / multilateral agencies; the private sector; civil society; academia, research institutes, think tanks, and the media.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The survey was implemented in English and Serbian.

Response rate

The response rate was 36.9% Comparing responses across Country Surveys reflects changes in attitudes over time, as well as changes in respondent samples and changes to the survey instrument itself. To reduce the influence of the latter factor, only those questions with similar response scales/options are analyzed.

Full quantitative survey data from Daira's evaluation of Mozilla Science Lab Programs. The qualitative word responses are excluded for data privacy reasons.

These data include the individual responses for the City of Tempe Annual Community Survey conducted by ETC Institute. This dataset has two layers and includes both the weighted data and unweighted data. Weighting data is a statistical method in which datasets are adjusted through calculations in order to more accurately represent the population being studied. The weighted data are used in the final published PDF report.These data help determine priorities for the community as part of the City's on-going strategic planning process. Averaged Community Survey results are used as indicators for several city performance measures. The summary data for each performance measure is provided as an open dataset for that measure (separate from this dataset). The performance measures with indicators from the survey include the following (as of 2023):1. Safe and Secure Communities1.04 Fire Services Satisfaction1.06 Crime Reporting1.07 Police Services Satisfaction1.09 Victim of Crime1.10 Worry About Being a Victim1.11 Feeling Safe in City Facilities1.23 Feeling of Safety in Parks2. Strong Community Connections2.02 Customer Service Satisfaction2.04 City Website Satisfaction2.05 Online Services Satisfaction Rate2.15 Feeling Invited to Participate in City Decisions2.21 Satisfaction with Availability of City Information3. Quality of Life3.16 City Recreation, Arts, and Cultural Centers3.17 Community Services Programs3.19 Value of Special Events3.23 Right of Way Landscape Maintenance3.36 Quality of City Services4. Sustainable Growth & DevelopmentNo Performance Measures in this category presently relate directly to the Community Survey5. Financial Stability & VitalityNo Performance Measures in this category presently relate directly to the Community SurveyMethods:The survey is mailed to a random sample of households in the City of Tempe. Follow up emails and texts are also sent to encourage participation. A link to the survey is provided with each communication. To prevent people who do not live in Tempe or who were not selected as part of the random sample from completing the survey, everyone who completed the survey was required to provide their address. These addresses were then matched to those used for the random representative sample. If the respondent’s address did not match, the response was not used. To better understand how services are being delivered across the city, individual results were mapped to determine overall distribution across the city. Additionally, demographic data were used to monitor the distribution of responses to ensure the responding population of each survey is representative of city population. Processing and Limitations:The location data in this dataset is generalized to the block level to protect privacy. This means that only the first two digits of an address are used to map the location. When they data are shared with the city only the latitude/longitude of the block level address points are provided. This results in points that overlap. In order to better visualize the data, overlapping points were randomly dispersed to remove overlap. The result of these two adjustments ensure that they are not related to a specific address, but are still close enough to allow insights about service delivery in different areas of the city. The weighted data are used by the ETC Institute, in the final published PDF report.The 2023 Annual Community Survey report is available on data.tempe.gov or by visiting https://www.tempe.gov/government/strategic-management-and-innovation/signature-surveys-research-and-dataThe individual survey questions as well as the definition of the response scale (for example, 1 means “very dissatisfied” and 5 means “very satisfied”) are provided in the data dictionary.Additional InformationSource: Community Attitude SurveyContact (author): Adam SamuelsContact E-Mail (author): Adam_Samuels@tempe.govContact (maintainer): Contact E-Mail (maintainer): Data Source Type: Excel tablePreparation Method: Data received from vendor after report is completedPublish Frequency: AnnualPublish Method: ManualData Dictionary

The National Sample Survey of Registered Nurses (NSSRN) Download makes data from the survey readily available to users in a one-stop download. The Survey has been conducted approximately every four years since 1977. For each survey year, HRSA has prepared two Public Use File databases in flat ASCII file format without delimiters. The 2008 data are also offerred in SAS and SPSS formats. Information likely to point to an individual in a sparsely-populated county has been withheld. General Public Use Files are State-based and provide information on nurses without identifying the County and Metropolitan Area in which they live or work. County Public Use Files provide most, but not all, the same information on the nurse from the General Public Use File, and also identifies the County and Metropolitan Areas in which the nurses live or work. NSSRN data are to be used for research purposes only and may not be used in any manner to identify individual respondents.

ABOUT THE COMMUNITY SURVEY REPORT DATASETFinal Reports for ETC Institute conducted annual community attitude surveys for the City of Tempe. These survey reports help determine priorities for the community as part of the City's on-going strategic planning process.PERFORMANCE MEASURESData collected in these surveys applies directly to a number of Performance Measures for the City of Tempe:1. Safe & Secure Communities1.04 Fire Services Satisfaction1.05 Feeling of Safety in the City1.06 Victim Not Reporting Crime to Police1.07 Police Services Satisfaction1.09 Victim of Crime1.10 Worry About Being a Victim1.11 Feeling Safe in City Facilities1.23 Feeling of Safety in Parks2. Strong Community Connections2.01 Customer Treatment Satisfaction2.02 Customer Service Satisfaction2.04 City Website Quality Satisfaction2.06 Police Encounter Satisfaction2.15 Feeling Invited to Participate in City Decisions2.21 Satisfaction with Availability of City Information3. Quality of Life3.01 Residential Property Code Enforcement3.02 Commercial Property Code Enforcement3.16 City Recreation, Arts, and Cultural Centers3.17 Community Services Programs3.18 Tempe Center for the Arts Programs3.19 Value of Special Events3.23 Right of Way Landscape Maintenance4. Sustainable Growth & Development4.05 Quality of City Infrastructure5. Financial Stability & VitalityNo Performance Measures in this category presently relate directly to the Community SurveyThe Community Survey was not conducted in 2015.Additional InformationSource: Community Attitude SurveyContact (author): Wydale HolmesContact E-Mail (author): wydale_holmes@tempe.govContact (maintainer): Wydale HolmesContact E-Mail (maintainer): wydale_holmes@tempe.govData Source Type: PDFPreparation Method: Data received from vendorPublish Frequency: AnnualPublish Method: Manual

This is the Northeast Fisheries Science Center Bottom Trawl Survey database for Northwest Atlantic marine organisms. Survey cruises use a bottom trawl to sample randomly selected stations in an attempt to delineate the species composition, geographic distribution, and abundance of various resources. Fish and selected invertebrate species are identified. Weight, length, total catch numbers, age structures, maturity stages, sex determinations and food content are recorded or collected during the survey cruises but only weight, total catch numbers, and sex determinations are available here. Ichthyoplankton and zooplankton data is available for a subset of the stations. Geographic coverage is from Cape Hatteras to the Gulf of Maine and from the coast to the slope water.

Shallow soil characteristics were mapped near Shellmound, Mississippi, using the DualEM 421 electromagnetic sensor in October 2018. Data were acquired by towing the DualEM sensor on a wheeled cart behind an ATV, with the sensor at a height of 0.432 meters (m) above the ground surface. Approximately 175 line-kilometers of data were acquired over an area of nearly four square kilometers, with 25 m separation between survey lines. Raw data are provided here.

Abstract

As part of the efforts of the World Bank Group to understand the impact of COVID-19 on the private sector, the Enterprise Analysis unit is conducting follow-up surveys on recently completed Enterprise Surveys (ES) in several countries. These short surveys follow the baseline ES and are designed to provide quick information on the impact and adjustments that COVID-19 has brought about in the private sector.

Geographic coverage

National coverage

Analysis unit

Enterprise

Universe

The universe of inference is all registered establishments with five or more employees that are engaged in one of the following activities defined using ISIC Rev. 3.1: manufacturing (groupd D), construction (group F), services sector (groups G and H), transport, storage, and communcations sector (group I) and information technology (division 72 of group K)

Kind of data

Sample survey data [ssd]

Sampling procedure

The follow-up surveys re-contact all establishments sampled in the standard ES using stratified random sampling (https://www.enterprisesurveys.org/content/dam/enterprisesurveys/documents/methodology/Sampling_Note.pdf). Total sample target: 1446

Mode of data collection

Computer Assisted Telephone Interview [cati]

Research instrument

The questionnaires contain the following modules: - Control information and introduction - General information - Sales - Production - Labor - Finance - Policies - Expectations - Information on permanently closed establishments - Interview protocol

Response rate

Response rate is 83.8%.

Abstract

The U.S. Residential Energy Consumption Survey, administered by the U.S. Energy Information Administration (EIA), uses a nationally representative sample to collect information about home characteristics, household energy usage, and energy cost. The microdata at the household level from 2020, 2015, 2009, 2005, 2001, 1997, 1993,1990, and 1987, made available by the EIA for public use, were curated by Carnegie Mellon University Libraries to make it more accessible for data analysis.

Methodology

Survey background and technical information

Usage

• Microdata are organized by year and can be found in "Tables;"
• Years include 2020, 2015, 2009, 2005, 2001, 1997, 1993, 1990, and 1987;
• In "Files," there are 9 folders (named by year), each of which contains the codebook(s) for a given year; for a given year, the codebook is provided in one file for all variables, if the EIA made this available; for some years, the EIA uses multiple files to organize its codebook (e.g., 1997);
• For 2020, 2015, and 2009, there is a PDF file (e.g., microdata_guide_xxxx) that describes how to use the provided sample weights to calculate standard errors; for other years, similar instructions can be found via the URL of the microdata description page on the EIA's website, provided in the description field of the microdata table for a given year (e.g., 1993).

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ABOUT THE COMMUNITY SURVEY DATASETFinal Reports for ETC Institute conducted annual community attitude surveys for the City of Tempe. These survey reports help determine priorities for the community as part of the City's on-going strategic planning process. In many of the survey questions, survey respondents are asked to rate their satisfaction level on a scale of 5 to 1, where 5 means "Very Satisfied" and 1 means "Very Dissatisfied" (while some questions follow another scale). The survey is mailed to a random sample of households in the City of Tempe and has a 95% confidence level.This data is the weighted data provided by the ETC Institute, which is used in the final published PDF report. PERFORMANCE MEASURESData collected in these surveys applies directly to a number of performance measures for the City of Tempe including the following (as of 2021): 1. Safe and Secure Communities1.04 Fire Services Satisfaction1.06 Victim Not Reporting Crime to Police1.07 Police Services Satisfaction1.09 Victim of Crime1.10 Worry About Being a Victim1.11 Feeling Safe in City Facilities1.23 Feeling of Safety in Parks2. Strong Community Connections2.02 Customer Service Satisfaction2.04 City Website Quality Satisfaction2.05 Online Services Satisfaction Rate2.15 Feeling Invited to Participate in City Decisions2.21 Satisfaction with Availability of City Information3. Quality of Life3.16 City Recreation, Arts, and Cultural Centers3.17 Community Services Programs3.19 Value of Special Events3.23 Right of Way Landscape Maintenance3.36 Quality of City Services4. Sustainable Growth & DevelopmentNo Performance Measures in this category presently relate directly to the Community Survey5. Financial Stability & VitalityNo Performance Measures in this category presently relate directly to the Community Survey Additional InformationSource: Community Attitude SurveyContact (author): Wydale HolmesContact E-Mail (author): wydale_holmes@tempe.govContact (maintainer): Wydale HolmesContact E-Mail (maintainer): wydale_holmes@tempe.govData Source Type: Excel tablePreparation Method: Data received from vendorPublish Frequency: AnnualPublish Method: Manual

The World Health Survey was implemented by WHO in 2002–2004 in partnership with 70 countries to generate information on the health of adult populations and health systems. The total sample size in these cross-sectional studies includes over 300,000 individuals. Survey materials and data are available through the WHO World Health Survey Data Archive accessible from the WHS webpage. (From the WHO World Health Survey webpage).