URL: https://geoscience.data.qld.gov.au/dataset/cr123339

EPM19114 contains a sequence of Eureka Creek Rhyolite, Hodgkinson Formation sediments, and Lass O’Gowrie and Atlanta granites along the north-eastern margin of the Featherbed Volcanics. This margin in this locality is host to significant tin and base metal mineralisation as evidenced by a mining history from the late 1800’s up until the mid-1980’s.

As a condition of the renewal of EPM19114 during 2019 was a requirement to surrender 10 sub-blocks from EPM19114. The areas selected for relinquishment are considered to be of lesser prospectivity than those sub-blocks retained. The relinquished area were included within a regional prospectivity mapping program circa 2014-15 and there has been no field work within these relinquished areas since that time.

URL: https://geoscience.data.qld.gov.au/dataset/cr090994

EPM 19114, ANNUAL REPORT FOR PERIOD ENDING 2/3/2015

URL: https://geoscience.data.qld.gov.au/dataset/bh019114

No description is available. Visit https://dataone.org/datasets/sha256%3A6418099634626cc7fff87a84e178adbd70c80998f6ddb93c056b9f41508c6644 for complete metadata about this dataset.

URL: https://geoscience.data.qld.gov.au/dataset/cr100853

EPM 19114, MOUNT FAIRYLAND, ANNUAL REPORT FOR PERIOD ENDING 2/3/2017

URL: https://geoscience.data.qld.gov.au/dataset/cr113233

EPM 19114, CARBONATE CREEK, ANNUAL REPORT FOR PERIOD ENDING 2/3/2019

These registers contain a summary record of all Residential Lease Applications in the Land District of Gundagai, kept by the Wagga Wagga Local Land Board.

An application for a Residential Lease would be submitted to the local Crown Land Agent, together with a deposit. Upon receipt of such an application, the Agent would enter the details into these registers. Each new application was numbered in consecutive order, beginning at one at the start of each calendar year.

These registers record information such as the number of the application, the name and address of the applicant, date of the application, description of the land applied for, particulars of Miner’s Right of Mineral Licence referred to in application, the area of the land, deposits paid, survey fee, provisional rent, date of Gazette Notice of Approval of Lease and Lease Number and any Miscellaneous Action.

1000 Genomes gVCF mapped to hs37d5 for NA19114. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307

This dataset is about: Water temperature and current velocity from surface drifter SVP_19114.

URL: https://geoscience.data.qld.gov.au/dataset/cr103100

EPM 19114, CARBONATE CREEK, PARTIAL RELINQUISHMENT REPORT FOR PERIOD ENDING 2/8/2017

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in May township, Cass County, 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 19,114, while the mean income for the highest quintile (20% of households with the highest income) is 149,595. This indicates that the top earners earn 8 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 194,119, which is 129.76% higher compared to the highest quintile, and 1015.59% higher compared to the lowest quintile.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 2022 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 May township median household income. You can refer the same here

Abstract The essential oil (EO) composition of leaves of Campomanesia aurea was analyzed by GC-MS. The plant was collected in April (EOA) and October (EOO) in São Francisco de Assis/RS. The essential oils were obtained by hydrodistillation in a modified Clevenger apparatus. The yields were 4.44% in April, and 6.15%, in October. Thirty-one compounds were identified in EOA, accounting for 96.87% of the total, and twenty-eight compounds were identified in EOO, accounting for 99.46% of the total. For EOA, the major identified monoterpene was p-cymene (8.33%) and the major identified sesquiterpene was α-cadinol (10.72%), while regarding EOO the major identified monoterpene was repeatedly Terpinolene (3.43%), whereas the major identified sesquiterpene was α-cadinol (12.79%). The antibacterial activity of the essential oil was evaluated against the three Listeria monocytogenes from the American Type Culture Collection (strains ATCC 7644, 19114 and 13932). The essential oil showed a MIC of 10 mg/mL against the strains ATCC 7644 and 19114, with bacteriostatic effect of 20 mg/mL and a MIC of 20 mg/mL for ATCC 13932. Regarding the antibiofilm activity, o EOO showed the best results with an inhibition of 90% in the sessile growth with an applied concentration of 4.0 mg/mL.

URL: https://geoscience.data.qld.gov.au/dataset/cr096409

EPM 19114, CARBONATE CREEK PROJECT, ANNUAL REPORT FOR PERIOD ENDING 2/3/2016

Uniquely defined geo-referenced units of territorial management, holding the information on land cover and optionally on land use. The Reference land cover layer represents a "tessellation" of the Earth surface on continuous, non-overlapping segments enclosing specific portion of the land. The boundaries of these segments follow well-visible physical features on the terrain (or well-visible boundaries between different land use types), which can be considered relatively permanent. The common nomenclature comprises 31 land cover types, designed following the guidance of Annex F of INSPIRE DS on Land Cover and the principles of the LCML (ISO 19114-2). The dataset covers Bulgarian part of the CBC project of 32 450 sq.km, which comprises 20.59% of the total area of the two countries, and 30% of the total area of Bulgaria. It encompasses 9 NUTS level 3 regions in total – Vidin, Montana, Vratsa, Pleven, Veliko Tarnovo, Ruse, Razgrad, Silistra, and Dobrich.

[The protein encoded by this gene functions to inhibit WNT proteins, which are extracellular signaling molecules that play a role in embryonic developm ]

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Iowa, LA, 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 19,114, while the mean income for the highest quintile (20% of households with the highest income) is 161,983. This indicates that the top earners earn 8 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 193,161, which is 119.25% higher compared to the highest quintile, and 1010.57% higher compared to the lowest quintile.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 2022 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 Iowa median household income. You can refer the same here

Fotografía aérea 19114 Rollo 103 Cámara RC10 (distancia focal: 153.03 mm.) Proyecto Carta Nacional M-II_1983 Escala 1:60000 B/NImagen escaneada a 14 micrones.

About this dataset

Context

The dataset tabulates the Kent County population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Kent County across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2022, the population of Kent County was 19,320, a 0.34% increase year-by-year from 2021. Previously, in 2021, Kent County population was 19,254, an increase of 0.73% compared to a population of 19,114 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Kent County increased by 91. In this period, the peak population was 20,279 in the year 2008. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Kent County is shown in this column.
• Year on Year Change: This column displays the change in Kent County population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Kent County Population by Year. You can refer the same here

URL: https://geoscience.data.qld.gov.au/dataset/cr123526

No field activities were carried out during the current reporting year (ending March 2020) as exploration was delayed as Jervois progressed the advanced Nico Young Ni-Co project in New South Wales to mining and concurrently were seeking a partner for their exploration activities.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Westerlo, New York, 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 19,114, while the mean income for the highest quintile (20% of households with the highest income) is 231,857. This indicates that the top earners earn 12 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 329,995, which is 142.33% higher compared to the highest quintile, and 1726.46% 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 Westerlo town median household income. You can refer the same here