About this dataset

Context

The dataset tabulates the Darwin 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 Darwin 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 Darwin was 336, a 1.47% decrease year-by-year from 2022. Previously, in 2022, Darwin population was 341, a decline of 0% compared to a population of 341 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Darwin decreased by 27. In this period, the peak population was 391 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 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 Darwin is shown in this column.
• Year on Year Change: This column displays the change in Darwin 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 Darwin Population by Year. You can refer the same here

About this dataset

Context

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

Key observations

The percent distribution of Darwin population by race (across all racial categories recognized by the U.S. Census Bureau): 92.73% are white, 5.97% are some other race and 1.30% 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 Darwin
• Population: The population of the racial category (excluding ethnicity) in the Darwin is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Darwin 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 Darwin Population by Race & Ethnicity. You can refer the same here

Australia Population: Resident: Estimated: Annual: Northern Territory: Greater Darwin data was reported at 148,884.000 Person in 2017. This records an increase from the previous number of 147,102.000 Person for 2016. Australia Population: Resident: Estimated: Annual: Northern Territory: Greater Darwin data is updated yearly, averaging 131,105.500 Person from Jun 2006 (Median) to 2017, with 12 observations. The data reached an all-time high of 148,884.000 Person in 2017 and a record low of 113,461.000 Person in 2006. Australia Population: Resident: Estimated: Annual: Northern Territory: Greater Darwin data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.G002: Estimated Resident Population.

About this dataset

Context

The dataset tabulates the Darwin population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Darwin. The dataset can be utilized to understand the population distribution of Darwin by age. For example, using this dataset, we can identify the largest age group in Darwin.

Key observations

The largest age group in Darwin, MN was for the group of age 10 to 14 years years with a population of 40 (10.39%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Darwin, MN was the 85 years and over years with a population of 1 (0.26%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

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 in consideration
• Population: The population for the specific age group in the Darwin is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Darwin 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 Darwin Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Darwin by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Darwin. The dataset can be utilized to understand the population distribution of Darwin by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Darwin. 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 Darwin.

Key observations

Largest age group (population): Male # 10-14 years (26) | Female # 65-69 years (20). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

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

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 Darwin population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Darwin is shown in the following column.
• Population (Female): The female population in the Darwin 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 Darwin 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 Darwin Population by Gender. You can refer the same here

Comprehensive demographic dataset for Darwin, CA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

The workforce dataset contains monthly workforce sizes from July 2005 to June 2018 in the eight Australian capital cities with estimated stratification by indoor and outdoor workers. It is included in both csv and rda format. It includes variables for:

Year Month GCCSA (Greater Capital City Statistical Area, which is used to define capital cities) Date (using the first day of the month) fulltime: Fulltime workers parttime: Parttime workers n. Overall workers outorin. Estimated indoor or outdoor status

This data are derived from the Australian Bureau of Statistics (ABS) Labour Force, Australia, Detailed, LM1 dataset: LM1 - Labour force status by age, greater capital city and rest of state (ASGS), marital status and sex, February 1978 onwards (pivot table). Occupational data from the 2006, 2011 and 2016 Census of Population and Housing (ABS Census TableBuilder Basic data) were used to stratify this dataset into indoor and outdoor classifications as per the "Indooroutdoor classification.xlsx" file. For the Census data, GCCSA for the place of work was used, not the place of usual residence.

Occupations were defined by the Australian and New Zealand Standard Classification of Occupations (ANZSCO). Each 6-digit ANZSCO occupation (the lowest level classification) was manually cross-matched with their corresponding occupation(s) from the Canadian National Occupation System (NOC). ANZSCO and NOC share a similar structure, because they are both derived from the International Standard Classification of Occupations. NOC occupations listed with an “L3 location” (include main duties with outdoor work for at least part of the working day) were classified as outdoors, including occupations with multiple locations. Occupations without a listing of "L3 location" were classified as indoors (no outdoor work). 6-digit ANZSCO occupations were then aggregated to 4-digit unit groups to match the ABS Census TableBuilder Basic data. These data were further aggregated into indoor and outdoor workers. The 4-digit ANZSCO unit groups’ indoor and outdoor classifications are listed in "Indooroutdoor classification.xlsx."

ANZSCO occupations associated with both indoor and outdoor listings were classified based on the more common listing, with indoors being selected in the event of a tie. The cross-matching of ANZSCO and NOC occupation was checked against two previous cross-matches used in published Australian studies utilising older ANZSCO and NOC versions. One of these cross-matches, the original cross-match, was validated with a strong correlation between ANZSCO and NOC for outdoor work (Smith, Peter M. Comparing Imputed Occupational Exposure Classifications With Self-reported Occupational Hazards Among Australian Workers. 2013).

To stratify the ABS Labour Force detailed data by indoors or outdoors, workers from the ABS Census 2006, 2011 and 2016 data were first classified as indoors or outdoors. To extend the indoor and outdoor classification proportions from 2005 to 2018, the population counts were (1) stratified by workplace GCCSA (standardised to the 2016 metrics), (2) logit-transformed and then interpolated using cubic splines and extrapolated linearly for each month, and (3) back-transformed to the normal population scale. For the 2006 Census, workplace location was reported by Statistical Local Area and then converted to GCCSA. This interpolation method was also used to estimate the 1-monthly worker count for Darwin relative to the rest of Northern Territory (ABS worker 1-monthly counts are reported only for Northern Territory collectively).

ABS data are owned by the Commonwealth Government under a CC BY 4.0 license. The attached datasets are derived and aggregated from ABS data.

Enetwild consortium developed a data standard on wildlife monitoring data to aggregate raw data such as occurrences, drive hunt hunting bags, distance sampling data, or aggregated or estimated data such as density estimates, summarized hunting bags, probability of presence. This standard is based on the Darwin Core standard, using the Event core, the Occurrence extension, the extended measurement or fact extension. We proposed to extend the measurement or fact extension to allow them to be nested among themselves for recording confidence intervals and precision information. We offer the possibility to nest occurrences within each other as well. We propose controlled vocabularies in relation to statistical information, in both data and metadata. In addition to a single metadata sheet, this Excel file proposes two ways to enter a dataset. The first option is to record events, occurrences, and measurements in different sheets, which is similar to the option proposed by GBIF in its Integrated Publishing Toolkit. The second option is to record events, occurrences and measurements in a single sheet (data_AllInOne) with the help of conditional formatting, working on the most recent version of Excel.

This is in line with the EFSA data model harmonisation under the SIGMA project.

ABS Census data extract - G09 COUNTRY OF BIRTH OF PERSON BY AGE providing a breakdown of population at Suburb level and by:age groupscountry of birth of person(a)Australia(b)China (excludes SARs and Taiwan)(c)Hong Kong (SAR of China)(c)Born elsewhere(d)This data is based on place of usual residence.(a) This list consists of the most common 50 Country of Birth responses reported in the 2016 Census and 2011 Census.(b) Includes 'Australia', 'Australia (includes External Territories), nfd', 'Norfolk Island' and 'Australian External Territories, nec'.(c) Special Administrative Regions (SARs) comprise 'Hong Kong (SAR of China)' and 'Macau (SAR of China)'. (d) Includes countries not identified individually, 'Inadequately described', and 'At sea'. Excludes not stated.Please note that there are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.

About this dataset

Context

The dataset tabulates the data for the Darwin, MN population pyramid, which represents the Darwin 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 Darwin, MN, is 34.3.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Darwin, MN, is 24.8.
• Total dependency ratio for Darwin, MN is 59.1.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Darwin, MN is 4.0.

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 Darwin population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Darwin for the selected age group is shown in the following column.
• Population (Female): The female population in the Darwin for the selected age group is shown in the following column.
• Total Population: The total population of the Darwin 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 Darwin Population by Age. You can refer the same here

人口：居民：估计：年度：北部地区：大达尔文 在06-01-2017达148,884.000人，相较于06-01-2016的147,102.000人有所增长。人口：居民：估计：年度：北部地区：大达尔文 数据按年更新，06-01-2006至06-01-2017期间平均值为131,105.500人，共12份观测结果。该数据的历史最高值出现于06-01-2017，达148,884.000人，而历史最低值则出现于06-01-2006，为113,461.000人。CEIC提供的人口：居民：估计：年度：北部地区：大达尔文 数据处于定期更新的状态，数据来源于Australian Bureau of Statistics，数据归类于全球数据库的澳大利亚 – 表 AU.G002：估计常住人口。

ABS Census data extract - G01 SELECTED PERSON CHARACTERISTICS BY SEX providing a breakdown of population at LGA level and by:age groupsaboriginal and/or Torres Strait Islander persons (a)birthplace (b) and (c)language used at home (d)age of persons attending an education institution (e)highest year of school completed (f)count of persons in occupied private dwellings (g)Count of persons in other dwellings (g) (h)This data is based on place of usual residence unless otherwise stated.(a) Applicable to persons who are of both Aboriginal and Torres Strait Islander origin.(b) Includes 'Australia', 'Australia (includes External Territories), nfd', 'Norfolk Island' and 'Australian External Territories, nec'.(c) Includes 'Inadequately described', and 'At sea'. Excludes not stated.(d) Includes 'Inadequately described' and 'Non-verbal, so described'. Excludes not stated.(e) Comprises 'Preschool', 'Primary' (including Government, Catholic, Other non-Government, Primary not further defined), 'Secondary' (including Government, Catholic, Other non-Government, Secondary not further defined) and 'Tertiary' (including vocational education (including TAFE and private training providers), university or other higher education, Tertiary not further defined). Excludes persons who did not state which type of education institution they were attending.(f) Applicable to persons aged 15 years and over.(g) Data is based on place of enumeration. Excludes overseas visitors.(h) Includes 'Visitors only' and 'Other non-classifiable' households, 'Non-private dwellings' and 'Migratory, off-shore and shipping' SA1s.Please note that there are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.

ABS Census data extract - G08 ANCESTRY BY COUNTRY OF BIRTH OF PARENTS providing a breakdown of population at LGA level and by:ancestry(a)birthplace not stated(b)total responses(c) andother(d)This data is based on place of usual residence.(a) This list of ancestries consists of the most common 30 Ancestry responses reported in the 2016 and 2011 Census. (b) Includes birthplace for either or both parents not stated.(c) This table is a multi-response table and therefore the total responses count will not equal the total persons count.(d) If two responses from one person are categorised in the 'Other' category only one response is counted. Includes ancestries not identified individually and 'Inadequately described'.Please note that there are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.

This dataset is the June 2022 release of Geoscape Planning for a single SA2 area (Darwin City) with SA2 code (71002). Buildings is a spatial dataset which represents Australia's built environment derived from remotely sensed imagery and aggregated data sources. The Buildings dataset has relationships with the G-NAF, Cadastre, Property and Administrative Boundaries products produced by Geoscape Australia. Users should note that these related Geoscape products are not part of Buildings. For more information regarding Geoscape Buildings, please refer to the Data Product Description and the June 2022 Release Notes. Please note: As per the licence for this data, the coverage area accessed by you can not be greater than a single Level 2 Statistical Area (SA2) as defined by the Australian Bureau of Statistics. If you require additional data beyond a single SA2 for your research, please request a quote from AURIN. Buildings is a digital dataset representing buildings across Australia. Data quality and potential capture timelines will vary across Australia based on two categories, each category has been developed based on a number of factors including the probability of the occurrence of natural events (e.g. flooding), population distribution and industrial/commercial activities. Areas with a population greater than 200, or with significant industrial/commercial activity in a visual assessment have been defined as 'Urban' and all other regions have been defined as 'Rural'. This dataset has been restricted to the Darwin City SA2 by AURIN.

This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/340/2, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-knz/87/8. The abstract below was extracted from the Level 0 data package and is included for context: Fishes were collected by habitat (pool or riffle) at 6 sites in the Kings Creek watershed with a single-pass electrofishing survey with one person operating the electrofisher and two people dipnetting. Collections were made seasonally.

This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/339/2, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-knz/26/11. The abstract below was extracted from the Level 0 data package and is included for context: Records of bird species based on line transect sampling, giving perpendicular distance of sighting from the transect line on 16 separate transects. Bird surveys were conducted 2-4 times per year in January, April, June, and October for a 29-year period from 1981 to 2009. Transects were designed to determine bird communities and population numbers associated with tallgrass prairie habitats with different experimental treatments (fire frequency, grazed by bison vs. ungrazed), riparian habitats on forest edge, and gallery forests dominated by oak woodland.

Genomic diversity is a fundamental component of Earth's total biodiversity and requires explicit consideration in efforts to conserve biodiversity. To conserve genomic diversity, it is necessary to measure its spatial distribution and quantify the contribution that any intraspecific evolutionary lineages make to overall genomic diversity. Here, we describe the range-wide population genomic structure of a threatened Australian rodent, the black-footed tree-rat (Mesembriomys gouldii), aiming to provide insight into the timing and extent of population declines across a large region with a dearth of long-term monitoring data. By estimating recent trajectories in effective population sizes at four localities, we confirm widespread population decline across the species' range, but find that the population in the peri-urban area of the Darwin region has been more stable. Based on current sampling, the Melville Island population made the greatest contribution to overall allelic richness of the species, and the prioritisation analysis suggested that conservation of the Darwin and Cobourg Peninsula populations would be the most cost-effective scenario to retain more than 90% of all alleles. Our results broadly confirm current sub-specific taxonomy and provide crucial data on the spatial distribution of genomic diversity to help prioritise limited conservation resources. Along with additional sampling and genomic analysis from the far eastern and western edges of the black-footed tree-rat distribution, we suggest a range of conservation and research priorities that could help improve black-footed tree-rat population trajectories at large and fine spatial scales, including the retention and expansion of structurally complex habitat patches.

aNumber of counts.bModel selected (Model: letter codes indicate detection probability dependence: t = time; b = behaviour; and h = heterogeneity).cDetection probability. Recapture probability at Inio 1 showed a pattern of initially low values for the early capture occasions, higher values during the middle of the period, then low values, similar to those at the start. A simpler model with only two time periods (t1: early/late and t2: mid) was therefore preferred to a fully time varying model. h1 and h2 refer to recapture probabilities for heterogeneity mixtures, and p1 to the estimated proportion of the population in mixture 1.

This category of information refers to the data or information related to a specific occurrence of a taxon (usually a species), whether in nature, in a collection or in a data set.Darwin Core is a set of standards developed and promoted by the international organization TDWG (Biodiversity Information Standards) and used by the network of the Global Biodiversity Information Infrastructure (GBIF) to facilitate the exchange of information on biological diversity.Darwin Core Archive (DwCA) is a compressed file (Zip), composed of several information files:Flat text file with the information, separated by a separator character (coma, dot and coma or tabulator). It is a file in XML format, which complies with the GMP standard (GBIF Metadata Profile), based on the EML standard (Ecological Metadata Language).Descriptor file (meta.xml), which describes the organization of the previous files. It is a file in XML format that indicates how the information of the previous files is organized, as well as the composition of the compressed file.In addition to Darwin Core format, the information is offered in excel and csv.

This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-ntl/346/6, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-ntl/356/3. The abstract below was extracted from the Level 0 data package and is included for context: This dataset describes long-term (1944-2012) variations in the relative abundance of fish populations representing nine species in Wisconsin lakes. Data were collected by Wisconsin Department of Natural Resource fisheries biologists as part of routine lake fisheries assessments. Individual survey methodologies varied over space and time and are described in more detail by Rypel, A. et al., 2016. Seventy-Year Retrospective on Size-Structure Changes in the Recreational Fisheries of Wisconsin. Fisheries, 41, pp.230-243. Available at: http://afs.tandfonline.com/doi/abs/10.1080/03632415.2016.1160894