About this dataset

Context

The dataset tabulates the Griffith 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 Griffith 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 2023, the population of Griffith was 16,222, a 0.40% decrease year-by-year from 2022. Previously, in 2022, Griffith population was 16,287, a decline of 0.81% compared to a population of 16,420 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Griffith decreased by 1,066. In this period, the peak population was 17,288 in the year 2000. 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 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Griffith is shown in this column.
• Year on Year Change: This column displays the change in Griffith 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 Griffith Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Griffith, IN population pyramid, which represents the Griffith population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Griffith, IN, is 24.4.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Griffith, IN, is 25.6.
• Total dependency ratio for Griffith, IN is 50.0.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Griffith, IN is 3.9.

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Griffith population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Griffith for the selected age group is shown in the following column.
• Population (Female): The female population in the Griffith for the selected age group is shown in the following column.
• Total Population: The total population of the Griffith for the selected age group is shown in the following column.

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 Griffith Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Griffith by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Griffith. The dataset can be utilized to understand the population distribution of Griffith by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Griffith. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Griffith.

Key observations

Largest age group (population): Male # 35-39 years (780) | Female # 25-29 years (865). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Griffith population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Griffith is shown in the following column.
• Population (Female): The female population in the Griffith is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Griffith for each age group.

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 Griffith Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

The percent distribution of Griffith population by race (across all racial categories recognized by the U.S. Census Bureau): 66.85% are white, 14.05% are Black or African American, 0.83% are American Indian and Alaska Native, 2.02% are Asian, 4.13% are some other race and 12.13% are multiracial.

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 Griffith
• Population: The population of the racial category (excluding ethnicity) in the Griffith is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Griffith 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 Griffith Population by Race & Ethnicity. You can refer the same here

Population Health Insurance Coverage Statistics for 2022. This is part of a larger dataset covering consumer health insurance coverage rates in Griffith, Indiana by age, education, race, gender, work experience and more.

U.S. Census Bureau QuickFacts statistics for Griffith town, Indiana. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

Population 16 years and over Poverty Rate Statistics for 2022. This is part of a larger dataset covering poverty in Griffith, Indiana by age, education, race, gender, work experience and more.

About this dataset

Context

The dataset tabulates the Griffith 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 Griffith 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 Griffith was 16,287, a 0.82% decrease year-by-year from 2021. Previously, in 2021, Griffith population was 16,422, a decline of 0.61% compared to a population of 16,522 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Griffith decreased by 1,001. In this period, the peak population was 17,288 in the year 2000. 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 Griffith is shown in this column.
• Year on Year Change: This column displays the change in Griffith 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 Griffith Population by Year. You can refer the same here

Total household population Health Insurance Coverage Statistics for 2022. This is part of a larger dataset covering consumer health insurance coverage rates in Griffith, Indiana by age, education, race, gender, work experience and more.

About this dataset

Context

The dataset tabulates the Griffith population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Griffith. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 10,582 (65.39% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Griffith population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Griffith is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Griffith is shown in the following column.

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 Griffith Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Griffith population by year. The dataset can be utilized to understand the population trend of Griffith.

Content

The dataset constitues the following datasets

• Griffith, IN Population Dataset: Yearly Figures, Population Change, and Percent Change 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/.

A combination of surveys and experiments were used to determine the size distribution, recruitment, mortality and growth rates of Siphonaria diemenensis in 2 zones on the rocky shore at Griffith …Show full descriptionA combination of surveys and experiments were used to determine the size distribution, recruitment, mortality and growth rates of Siphonaria diemenensis in 2 zones on the rocky shore at Griffith Point, San Remo, Victoria. One zone was in the high intertidal (Zone 2) and one was in the low intertidal area on the shore. There were 3 sites in Zone 1 and 2 sites in Zone 2 (see parent record for more details). A size frequency distribution was constructed for each site from surveys that recorded the size of all individuals every 2 months from October 1979 to December 1981. In addition to the sites in Zone 1 there were 12 permanent quadrats (50 x 50cm) which were surveyed in the same manner from December 1980 to December 1981. The sizes of recruits were similar in both Zones but the sizes of adults were significantly greater in Zone 2. In both years, the maximum density of recruits in Zone 1 was greater than in Zone 2. The mortality rate of adult limpets in Zone 2 was lower compared to limpets in Zone 1. The growth rates (mm per month) of marked individuals were calculated for 3 time intervals; January-March, March-May and May-late July (Zone 2) and Mary-early August (Zone 1) in 1981. Limpets in Zone 2 grew faster (average 0.63 mm per month) than the limpets in Zone 1 (average 0.11mm per month). In addition, an experiment was conducted in Zone 1 from May to July in 1981 to determine the effects of adult density and macroalgal cover on limpet recruitment. It was found that there was no effect of adult density but a significant interactive effect of algal cover and sampling date on the number of limpet recruits.

Invasive populations are often associated with low levels of genetic diversity due to population bottlenecks at the initial stages of invasion. Despite this, the ability of invasive species to adapt rapidly in response to novel environments is well documented. Epigenetic mechanisms have recently been proposed to facilitate the success of invasive species by compensating for reduced levels of genetic variation. Here, we use MS-AFLP and microsatellite analyses to compare levels of epigenetic and genetic diversity and differentiation across 15 sites in the introduced Australian house sparrow population. We find patterns of epigenetic and genetic differentiation that are consistent with historical descriptions of three distinct, introductions events. However unlike genetic differentiation, epigenetic differentiation was higher among sample sites than among invasion clusters, suggesting that patterns of epigenetic variation are more strongly influenced by local environmental stimuli or sequential founder events than the initial diversity in the introduction population. Interestingly, we fail to detect correlations between pairwise site comparisons of epigenetic and genetic differentiation, suggesting that some of the observed epigenetic variation has arisen independently of genetic variation. We also fail to detect the potentially compensatory relationship between epigenetic and genetic diversity that has been detected in a more recent house sparrow invasion in Africa. We discuss the potential for this relationship to be obscured by recovered genetic diversity in more established populations, and highlight the importance of incorporating introduction history into population-wide epigenetic analyses.

Usage Notes DataHouseSparrowEpigeneticsEpigenetic binary haplotype data for house sparrow DNA samples assayed with MSAFLP.

This data collection contains all currently published nucleotide (DNA/RNA) and protein sequences from the Australian research institution,Griffith University.The nucleotide (DNA/RNA) and protein sequences have been sourced through the European Nucleotide Archive (ENA) and Universal Protein Resource (UniProt), databases that contains comprehensive sets of nucleotide (DNA/RNA) and protein sequences from all organisms that have been published by the International Research Community.

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Griffith by race. It includes the distribution of the Non-Hispanic population of Griffith across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Griffith across relevant racial categories.

Key observations

Of the Non-Hispanic population in Griffith, the largest racial group is White alone with a population of 10,175 (76.69% of the total Non-Hispanic population).

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 (for Non-Hispanic) for the Griffith
• Population: The population of the racial category (for Non-Hispanic) in the Griffith is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Griffith total Non-Hispanic 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 Griffith Population by Race & Ethnicity. You can refer the same here

Dormancy allows organisms to survive hostile conditions and is hypothesized to enable species to coexist in fluctuating environments. Although determining how species avoid extinction is critical to understanding the dynamics of natural populations, experimental work exploring if and when dormancy rescues populations from extinction remains rare. We conducted an experiment, where we grew two species of nematode at three temperatures. Strains of Caenorhabditis elegans had mutations altering their propensity to enter a dormant stage and Caenorhabditis briggsae was a single strain with a wildtype background. We used those empirical results to parameterize a model and simulate competitive outcomes in fluctuating environments between the two species. We show that upregulating the dormancy pathway rescues populations that would otherwise go extinct, thereby increasing coexistence between competing species. By leveraging the genetic tools available from a model system, this study provides experimental confirmation that dormancy specifically facilitates species coexistence and thereby promotes diversity. This study system could be used more expansively to explore the role of dormancy in species interactions.

About this dataset

Context

The dataset tabulates the Griffith population by race and ethnicity. The dataset can be utilized to understand the racial distribution of Griffith.

Content

The dataset will have the following datasets when applicable

Please note that in case when either of Hispanic or Non-Hispanic population doesnt exist, the respective dataset will not be available (as there will not be a population subset applicable for the same)

• Griffith, IN Population Breakdown by Race
• Griffith, IN Non-Hispanic Population Breakdown by Race
• Griffith, IN Hispanic or Latino Population Distribution by Their Ancestries

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/.

Community Wellbeing Indices. This data set is published in the technical report prepared for the Independent Assessment of the Social and Economic Conditions in the Basin Independent Assessment of …Show full descriptionCommunity Wellbeing Indices. This data set is published in the technical report prepared for the Independent Assessment of the Social and Economic Conditions in the Basin Independent Assessment of the Social and Economic Conditions in the Basin. Dataset 1 (Local Government Area data for different dimensions of Community wellbeing): This dataset provides data for individual Local Government Areas (LGAs) of the Murray-Darling Basin for different dimensions of community wellbeing. The categorisation indicates whether a community was considered to have poorer than average, average, or better than average outcomes from Regional Australia scores for each dimension. This dataset also includes the remoteness classification of the Local Government areas and the population figures for the years 2006, 2011 and 2016. Dataset 2 (Ratings of access to different services and infrastructure, by Local Government Area): This dataset identifies average scores for access to services and infrastructure by local government area. There are some limitations to this data: in particular, in less populated areas, there was insufficient sample in some LGAs to analyse data for that LGA on its own. In these cases, the data reported are for 2-4 LGAs of similar remoteness, located adjacent to each other, with the average score for respondents in those two to four LGAs. Dataset 3 (Population , Economic Diversity, Dependence on agriculture, and drought incidence): This dataset covers population figures for 2006 and 2016, changes in economic diversity , changes in dependence on agriculture, irrigation dependence and Drought severity on the LGAs Source: Schirmer J and Mylek M (2020) Thriving, surviving, or declining communities: socio-economic change in Murray–Darling Basin communities, report to the the Panel for the Independent Assessment of Social and Economic Conditions in the Murray–Darling Basin. Raw data from the Australian Bureau of Statistics (ABS) for the years 2006, 2011, and 2016, Hutchinson Drought Severity Index from 2001 to 2018, Australian Institute of Health and Welfare (AIHW) for the year 2017 and Regional Wellbeing Survey (RWS) 2018 are used to develop the datasets in this Sheet. Note: The Regional Wellbeing Survey is open to Aboriginal and Torres Strait Islander participants, and each year around 100 to 150 Aboriginal or Torres Strait Islander people participate in the survey. However, this is a small sample, and the survey does not currently include some topics known to be important to the wellbeing of Aboriginal and Torres Strait Islander people – for example, topics examining connection to country, or experiences of racism. This means the Regional Wellbeing Survey can provide some insight but not a comprehensive understanding of factors important to the wellbeing of Aboriginal and Torres Strait Islanders" (Schirmer, J, Mylek, M, Peel, D, Yabsley, B (2015) People and Communities, The 2014 Regional Wellbeing Survey, Report 1 People and Communities, University of Canberra). Estimated Residential Population of Aboriginal and Torres Strait Islander people in the MDB License: This publication is provided under a Creative Commons Attribution 4.0 license. (https://creativecommons.org/licenses/by/4.0) Contact: lana.hartwig@griffith.edu.au https://www.griffith.edu.au/australian-rivers-institute Source: Hartwig, L.D., & Jackson, S. (2020). The status of Aboriginal water holdings in the Murray-Darling Basin. ARI Report No. 2020/004. Australian Rivers Institute, Griffith University, Australia

The ecology of 2 populations of the limpet Siphonaria diemenensis were investigated on the rocky intertidal shore at Griffith Point, San Remo, Victoria from 1979 to 1981. One population was on flat …Show full descriptionThe ecology of 2 populations of the limpet Siphonaria diemenensis were investigated on the rocky intertidal shore at Griffith Point, San Remo, Victoria from 1979 to 1981. One population was on flat rock in the high intertidal area (Zone 1) and the other population was on the boulders in the low intertidal area (Zone 2). In Zone 1, there were 3 sites (combined area of 3.146 m2) and 12 permanently marked 0.25m2 quadrats and in Zone 2, there were 2 sites (combined area of 1.291m2). The population dynamics of the limpets were investigated by measuring shell lengths and dry weights of individuals in the 2 zones. Fences were used to enclose limpets or exclude limpets from areas of the substratum. Details of each experiment are described in the related records.

This point shapefile contains the locations of cities and towns in the Kulob Oblast area of Tajikistan. Kulob Oblast (also Kulyab Oblast from Russian spelling) was an administrative subdivision in Tajikistan during the Soviet period (Tajik SSR). In 1992 it was merged with the Qurghonteppa Oblast to create Khatlon Province. The city of Kulob (Kulyab) was the capital of the oblast.This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.Read More