About this dataset

Context

The dataset tabulates the Kiawah Island population by age. The dataset can be utilized to understand the age distribution and demographics of Kiawah Island.

Content

The dataset constitues the following three datasets

• Kiawah Island, SC Age Group Population Dataset: A complete breakdown of Kiawah Island age demographics from 0 to 85 years, distributed across 18 age groups
• Kiawah Island, SC Age Cohorts Dataset: Children, Working Adults, and Seniors in Kiawah Island - Population and Percentage Analysis
• Kiawah Island, SC Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

About this dataset

Context

The dataset tabulates the Nome median household income by race. The dataset can be utilized to understand the racial distribution of Nome income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Nome, AK median household income breakdown by race betwen 2011 and 2021
• Median Household Income by Racial Categories in Nome, AK (2021, in 2022 inflation-adjusted dollars)

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Nome median household income by race. You can refer the same here

The Film dataset is a large collection of audio files with full metadata, including chords, instrumentation, key, tempo, and timestamps. This dataset is designed for machine learning applications and serves as a reliable resource for generative AI music, Music Information Retrieval (MIR), and source separation. With an emphasis on expanding machine learning attempts, the dataset allows researchers to delve into the complexities of film music, enabling the development of algorithms capable of generating creative compositions that genuinely represent the emotive nuances of various genres.

Film music, an essential component of cinematic storytelling, plays an important role in increasing spectator engagement and emotional resonance. Composers work collaboratively with filmmakers to create music that enhance visual aspects, set the tone, and reinforce story themes.

Training models on this cinema dataset allows researchers to better grasp and mimic these artistic details, extending the bounds of AI-generated music and contributing to advances in MIR and source separation.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Address Ranges Relationship File (ADDR.dbf) contains the attributes of each address range. Each address range applies to a single edge and has a unique address range identifier (ARID) value. The edge to which an address range applies can be determined by linking the address range to the All Lines Shapefile (EDGES.shp) using the permanent topological edge identifier (TLID) attribute. Multiple address ranges can apply to the same edge since an edge can have multiple address ranges. Note that the most inclusive address range associated with each side of a street edge already appears in the All Lines Shapefile (EDGES.shp). The TIGER/Line Files contain potential address ranges, not individual addresses. The term "address range" refers to the collection of all possible structure numbers from the first structure number to the last structure number and all numbers of a specified parity in between along an edge side relative to the direction in which the edge is coded. The address ranges in the TIGER/Line Files are potential ranges that include the full range of possible structure numbers even though the actual structures may not exist.

This dataset is about books. It has 4 rows and is filtered where the author is Peter Christopher Gega. It features 7 columns including author, publication date, language, and book publisher.

About this dataset

Context

The dataset tabulates the population of Buck Grove by race. It includes the population of Buck Grove across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Buck Grove across relevant racial categories.

Key observations

The percent distribution of Buck Grove population by race (across all racial categories recognized by the U.S. Census Bureau): 91.30% are white and 8.70% are some other race.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Buck Grove
• Population: The population of the racial category (excluding ethnicity) in the Buck Grove is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Buck Grove total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Buck Grove Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Gales Township, Minnesota, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 16,977, while the mean income for the highest quintile (20% of households with the highest income) is 218,620. This indicates that the top earners earn 13 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 363,515, which is 166.28% higher compared to the highest quintile, and 2141.22% higher compared to the lowest quintile.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Gales township median household income. You can refer the same here

First reconnaissance at Jarvis Island, Palmyra Atoll, and Kingman Reef, Line Islands, for species diversity, community structure, deep-water habitats, and bottom topography of meso- and subphotic island slopes between 150-1027 m (mostly at 200-800 m) using Hawaii Undersea Research Laboratory (HURL) PISCES research submersibles. Data were collected during July 2005 by Bruce Mundy, Frank Parrish, and James Maragos (USFWS), with major assistance with the staff of the Hawaii Undersea Research Laboratory. Submersible dives were of 6-9 hours each: 1 at Jarvis Island, 2 at Palmyra Atoll, and 3 at Kingman Reef. Five of the dives used survey protocols from previous work in the Northwestern Hawaiian Islands, to allow comparisons with another region (one dive at Kingman Reef was purely exploratory). The protocol consisted of: (1) descent to a depth allowed by local conditions and time constraints; (2) exploratory observations upslope, (3) four 30 minute transects at 500, 450, 400, and 350 m during which observers identified, counted, and estimated the sizes of all fish and invertebrates with the aid of a calibrated laser scale projected on the substrate, and (4) more exploration upslope, if time allowed. Exploratory portions of the dives collected data on the species and habitat parameters observed, but did not include estimates of numbers or sizes of common organisms. Continuous audio and video files from the entire dives were recorded, from which data on biodiversity and habitat structure were extracted in the laboratory. Data analysis by Frank Parrish and Bruce Mundy.

United States Listings w/ Price Drops: sa: Single Family: El Paso, TX data was reported at 9.108 % in Jul 2020. This records an increase from the previous number of 9.080 % for Jun 2020. United States Listings w/ Price Drops: sa: Single Family: El Paso, TX data is updated monthly, averaging 16.861 % from Jul 2015 (Median) to Jul 2020, with 61 observations. The data reached an all-time high of 37.297 % in Dec 2018 and a record low of 8.794 % in Apr 2020. United States Listings w/ Price Drops: sa: Single Family: El Paso, TX data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB042: Listings with Price Drops: by Metropolitan Areas: Seasonally Adjusted.

This dataset provides information about the number of properties, residents, and average property values for Holbrook Street cross streets in Los Angeles, CA.

United States Months of Supply: Multi-Family: Kapaa, HI data was reported at 0.500 Month in Apr 2020. This records a decrease from the previous number of 3.000 Month for Mar 2020. United States Months of Supply: Multi-Family: Kapaa, HI data is updated monthly, averaging 4.000 Month from Dec 2012 (Median) to Apr 2020, with 34 observations. The data reached an all-time high of 9.000 Month in Oct 2017 and a record low of 0.500 Month in Apr 2020. United States Months of Supply: Multi-Family: Kapaa, HI data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB029: Months of Supply: by Metropolitan Areas.

Current meter data were collected from FIXED PLATFORMS from the Gulf of Mexico and Straits of Florida. Data were submitted by the Atlantic Oceanographic and Meteorological Laboratory (AOML) as part of the Ocean Thermal Energy Conversion (OTEC) and other projects from 24 October 1964 to 01 November 1977. Data were processed by NODC to the NODC standard F015 Current Meter Components format. The F015 format contains time series measurements of ocean currents. These data are obtained from current meter moorings and represent the Eulerian method of current measurement, i.e., the meters are deployed at a fixed point and measure flow past a sensor. Position, bottom depth, sensor depth and meter characteristics are reported for each station. The data record includes values of east-west (u) and north-south (v) current vector components at specified date and time. Current direction is defined as the direction toward which the water is flowing with positive directions east and north. Data values may be subject to averaging or filtering and are typically reported at 10 - 15 minute time intervals. Water temperature, pressure and conductivity or salinity may also be reported. A text record is available for optional comments.

This is the offical huggingface repository for MMP-2K: A BENCHMARK MULTI-LABELED MACRO PHOTOGRAPHY IMAGE QUALITY ASSESSMENT DATABASE

  More information please refer to github

MMP-2k is a novel benchmark Image Quality Assessment (IQA) database for Macro Photography (MP) images. Each image within MMP-2k has a MOS and a quality report consisting of an overall quality description and distortion annotations.

  Files in MMP-2k

A metadata.csv file in which each image id… See the full description on the dataset page: https://huggingface.co/datasets/MMP-2k/MMP-2k.

These data were automated to provide an accurate high-resolution historical shoreline of Strait of Juan De Fuca, WA suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://inport.nmfs.noaa.gov/inport/item/39808

Auxiliary information for pixel cloud product indicating to which water bodies the pixels are assigned in river and lake products. Also includes height-constrained pixel geolocation after reach- or lake-scale averaging. Point cloud over tile (approx 64x64 km2); half swath (left or right side of full swath). Available in netCDF-4 file format.

This dataset provides information about the number of properties, residents, and average property values for Hoxie Drive cross streets in Oakland Gardens, NY.

United States CPI UW: FB: AB: At Home: Distilled Spirits data was reported at 0.080 % in Jun 2018. This records a decrease from the previous number of 0.080 % for May 2018. United States CPI UW: FB: AB: At Home: Distilled Spirits data is updated monthly, averaging 0.081 % from Jan 1998 (Median) to Jun 2018, with 246 observations. The data reached an all-time high of 0.126 % in Feb 2006 and a record low of 0.071 % in Dec 2017. United States CPI UW: FB: AB: At Home: Distilled Spirits data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.I010: Consumer Price Index: Urban: Weights.

The data and programs replicate tables and figures from "Economics research in Canada: a long-run assessment of journal publications", by Davies, Kocher and Sutter. Please see the ReadMe file for additional details.

xtzppx/eval_act_so100_test3 dataset hosted on Hugging Face and contributed by the HF Datasets community

United States Imports: CIF: 3-Digit: UK: Ores & Concentrates of Uranium or Thorium data was reported at 0.000 USD mn in May 2018. This stayed constant from the previous number of 0.000 USD mn for Apr 2018. United States Imports: CIF: 3-Digit: UK: Ores & Concentrates of Uranium or Thorium data is updated monthly, averaging 0.000 USD mn from Jan 1996 (Median) to May 2018, with 113 observations. The data reached an all-time high of 12.940 USD mn in Apr 1999 and a record low of 0.000 USD mn in May 2018. United States Imports: CIF: 3-Digit: UK: Ores & Concentrates of Uranium or Thorium data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA110: Trade Statistics: United Kingdom: Imports: CIF: SITC.