Stata module that implements Potter's (1990) weight distribution approach to trim extreme sampling weights. The basic idea is that the sampling weights are assumed to follow a beta distribution. The parameters of the distribution are estimated from the moments of the observed sampling weights and the resulting quantiles are used as cut-off points for extreme sampling weights. The process is repeated a specified number of times (10 by default) or until no sampling weights are more extreme than the specified quantiles.

Calculation strategy for survey and population weighting of the data.

The "https://addhealth.cpc.unc.edu/" Target="_blank">National Longitudinal Study of Adolescent to Adult Health (Add Health) is a longitudinal study of a nationally representative sample of adolescents in grades 7-12 in the United States. The Add Health cohort has been followed into young adulthood with four in-home interviews, the most recent in 2008, when the sample was aged 24-32*. Add Health combines longitudinal survey data on respondents' social, economic, psychological and physical well-being with contextual data on the family, neighborhood, community, school, friendships, peer groups, and romantic relationships, providing unique opportunities to study how social environments and behaviors in adolescence are linked to health and achievement outcomes in young adulthood. The fourth wave of interviews expanded the collection of biological data in Add Health to understand the social, behavioral, and biological linkages in health trajectories as the Add Health cohort ages through adulthood. The fifth wave of data collection is planned to begin in 2016.

Initiated in 1994 and supported by three program project grants from the "https://www.nichd.nih.gov/" Target="_blank">Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) with co-funding from 23 other federal agencies and foundations, Add Health is the largest, most comprehensive longitudinal survey of adolescents ever undertaken. Beginning with an in-school questionnaire administered to a nationally representative sample of students in grades 7-12, the study followed up with a series of in-home interviews conducted in 1995, 1996, 2001-02, and 2008. Other sources of data include questionnaires for parents, siblings, fellow students, and school administrators and interviews with romantic partners. Preexisting databases provide information about neighborhoods and communities.

Add Health was developed in response to a mandate from the U.S. Congress to fund a study of adolescent health, and Waves I and II focus on the forces that may influence adolescents' health and risk behaviors, including personal traits, families, friendships, romantic relationships, peer groups, schools, neighborhoods, and communities. As participants have aged into adulthood, however, the scientific goals of the study have expanded and evolved. Wave III, conducted when respondents were between 18 and 26** years old, focuses on how adolescent experiences and behaviors are related to decisions, behavior, and health outcomes in the transition to adulthood. At Wave IV, respondents were ages 24-32* and assuming adult roles and responsibilities. Follow up at Wave IV has enabled researchers to study developmental and health trajectories across the life course of adolescence into adulthood using an integrative approach that combines the social, behavioral, and biomedical sciences in its research objectives, design, data collection, and analysis.

* 52 respondents were 33-34 years old at the time of the Wave IV interview.
** 24 respondents were 27-28 years old at the time of the Wave III interview.

Included here are weights to remove any differences between the composition of the sample and the estimated composition of the population. See the attached codebook for information regarding how these weights were calculated.

A random sample of households were invited to participate in this survey. In the dataset, you will find the respondent level data in each row with the questions in each column. The numbers represent a scale option from the survey, such as 1=Excellent, 2=Good, 3=Fair, 4=Poor. The question stem, response option, and scale information for each field can be found in the var "variable labels" and "value labels" sheets. VERY IMPORTANT NOTE: The scientific survey data were weighted, meaning that the demographic profile of respondents was compared to the demographic profile of adults in Bloomington from US Census data. Statistical adjustments were made to bring the respondent profile into balance with the population profile. This means that some records were given more "weight" and some records were given less weight. The weights that were applied are found in the field "wt". If you do not apply these weights, you will not obtain the same results as can be found in the report delivered to the Bloomington. The easiest way to replicate these results is likely to create pivot tables, and use the sum of the "wt" field rather than a count of responses.

Computed sample size, estimated power, and simulated power when the slope difference β1D = 0.50, sample size ratio r = 1, Type I error α = 0.05, and nominal power 1−β = 0.80.

Between 1984 January - 2002 June, personnel from NMFS/PIFSC/FRMD/FMB/FMAP and Hawaii Department of Aquatic Resources (DAR) conducted port sampling at the United Fishing Agency (UFA) Fish Auction. They recorded the total landing at the UFA Fish Auction, with a frequency of six times a week during the earlier years to twice a week during the later years.

In 2000 January, DAR implemented a Dealer Data collection procedure that receives reports from the fish dealers that are more complete and covers more than just the auction. This Dealer Data takes the place of the UFA Sampling Data, and after a 2.5 year overlap, the collection of the UFA Sampling Data was discontinued in 2002 June. The DAR Dealer Data is archived and documented separately.

Supplementary Material 1. Analysis Results.

The WIC Infant and Toddler Feeding Practices Study–2 (WIC ITFPS-2) (also known as the “Feeding My Baby Study”) is a national, longitudinal study that captures data on caregivers and their children who participated in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) around the time of the child’s birth. The study addresses a series of research questions regarding feeding practices, the effect of WIC services on those practices, and the health and nutrition outcomes of children on WIC. Additionally, the study assesses changes in behaviors and trends that may have occurred over the past 20 years by comparing findings to the WIC Infant Feeding Practices Study–1 (WIC IFPS-1), the last major study of the diets of infants on WIC. This longitudinal cohort study has generated a series of reports. These datasets include data from caregivers and their children during the prenatal period and during the children’s first five years of life (child ages 1 to 60 months). A full description of the study design and data collection methods can be found in Chapter 1 of the Second Year Report (https://www.fns.usda.gov/wic/wic-infant-and-toddler-feeding-practices-st...). A full description of the sampling and weighting procedures can be found in Appendix B-1 of the Fourth Year Report (https://fns-prod.azureedge.net/sites/default/files/resource-files/WIC-IT...). Processing methods and equipment used Data in this dataset were primarily collected via telephone interview with caregivers. Children’s length/height and weight data were objectively collected while at the WIC clinic or during visits with healthcare providers. The study team cleaned the raw data to ensure the data were as correct, complete, and consistent as possible. Study date(s) and duration Data collection occurred between 2013 and 2019. Study spatial scale (size of replicates and spatial scale of study area) Respondents were primarily the caregivers of children who received WIC services around the time of the child’s birth. Data were collected from 80 WIC sites across 27 State agencies. Level of true replication Unknown Sampling precision (within-replicate sampling or pseudoreplication) This dataset includes sampling weights that can be applied to produce national estimates. A full description of the sampling and weighting procedures can be found in Appendix B-1 of the Fourth Year Report (https://fns-prod.azureedge.net/sites/default/files/resource-files/WIC-IT...). Level of subsampling (number and repeat or within-replicate sampling) A full description of the sampling and weighting procedures can be found in Appendix B-1 of the Fourth Year Report (https://fns-prod.azureedge.net/sites/default/files/resource-files/WIC-IT...). Study design (before–after, control–impacts, time series, before–after-control–impacts) Longitudinal cohort study. Description of any data manipulation, modeling, or statistical analysis undertaken Each entry in the dataset contains caregiver-level responses to telephone interviews. Also available in the dataset are children’s length/height and weight data, which were objectively collected while at the WIC clinic or during visits with healthcare providers. In addition, the file contains derived variables used for analytic purposes. The file also includes weights created to produce national estimates. The dataset does not include any personally-identifiable information for the study children and/or for individuals who completed the telephone interviews. Description of any gaps in the data or other limiting factors Please refer to the series of annual WIC ITFPS-2 reports (https://www.fns.usda.gov/wic/infant-and-toddler-feeding-practices-study-2-fourth-year-report) for detailed explanations of the study’s limitations. Outcome measurement methods and equipment used The majority of outcomes were measured via telephone interviews with children’s caregivers. Dietary intake was assessed using the USDA Automated Multiple Pass Method (https://www.ars.usda.gov/northeast-area/beltsville-md-bhnrc/beltsville-h...). Children’s length/height and weight data were objectively collected while at the WIC clinic or during visits with healthcare providers. Resources in this dataset:Resource Title: ITFP2 Year 5 Enroll to 60 Months Public Use Data CSV. File Name: itfps2_enrollto60m_publicuse.csvResource Description: ITFP2 Year 5 Enroll to 60 Months Public Use Data CSVResource Title: ITFP2 Year 5 Enroll to 60 Months Public Use Data Codebook. File Name: ITFPS2_EnrollTo60m_PUF_Codebook.pdfResource Description: ITFP2 Year 5 Enroll to 60 Months Public Use Data CodebookResource Title: ITFP2 Year 5 Enroll to 60 Months Public Use Data SAS SPSS STATA R Data. File Name: ITFP@_Year5_Enroll60_SAS_SPSS_STATA_R.zipResource Description: ITFP2 Year 5 Enroll to 60 Months Public Use Data SAS SPSS STATA R DataResource Title: ITFP2 Year 5 Ana to 60 Months Public Use Data CSV. File Name: ampm_1to60_ana_publicuse.csvResource Description: ITFP2 Year 5 Ana to 60 Months Public Use Data CSVResource Title: ITFP2 Year 5 Tot to 60 Months Public Use Data Codebook. File Name: AMPM_1to60_Tot Codebook.pdfResource Description: ITFP2 Year 5 Tot to 60 Months Public Use Data CodebookResource Title: ITFP2 Year 5 Ana to 60 Months Public Use Data Codebook. File Name: AMPM_1to60_Ana Codebook.pdfResource Description: ITFP2 Year 5 Ana to 60 Months Public Use Data CodebookResource Title: ITFP2 Year 5 Ana to 60 Months Public Use Data SAS SPSS STATA R Data. File Name: ITFP@_Year5_Ana_60_SAS_SPSS_STATA_R.zipResource Description: ITFP2 Year 5 Ana to 60 Months Public Use Data SAS SPSS STATA R DataResource Title: ITFP2 Year 5 Tot to 60 Months Public Use Data CSV. File Name: ampm_1to60_tot_publicuse.csvResource Description: ITFP2 Year 5 Tot to 60 Months Public Use Data CSVResource Title: ITFP2 Year 5 Tot to 60 Months Public Use SAS SPSS STATA R Data. File Name: ITFP@_Year5_Tot_60_SAS_SPSS_STATA_R.zipResource Description: ITFP2 Year 5 Tot to 60 Months Public Use SAS SPSS STATA R DataResource Title: ITFP2 Year 5 Food Group to 60 Months Public Use Data CSV. File Name: ampm_foodgroup_1to60m_publicuse.csvResource Description: ITFP2 Year 5 Food Group to 60 Months Public Use Data CSVResource Title: ITFP2 Year 5 Food Group to 60 Months Public Use Data Codebook. File Name: AMPM_FoodGroup_1to60m_Codebook.pdfResource Description: ITFP2 Year 5 Food Group to 60 Months Public Use Data CodebookResource Title: ITFP2 Year 5 Food Group to 60 Months Public Use SAS SPSS STATA R Data. File Name: ITFP@_Year5_Foodgroup_60_SAS_SPSS_STATA_R.zipResource Title: WIC Infant and Toddler Feeding Practices Study-2 Data File Training Manual. File Name: WIC_ITFPS-2_DataFileTrainingManual.pdf

These data are part of the Brine Disposal Program funded by NOAA in the US Gulf of Mexico, compiled by NOAA/CEAS and partially conducted by R. W. Hann of Texas A and M University. Grain size analyses conducted on 230 grabs by Texas A and M University were added to the historic NGDC Seafloor Sediment Grain Size Database from multiple cruises of the Lady Gloria conducted during October of 1982. Data include collecting institution, ship, cruise, sample id, latitude/longitude, date of collection, water depth, sampling device, method of analysis, sample weight, sampled interval, raw weight percentages of sediment, within a given phi range. Some samples also have percentages of total gravel, sand, silt, clay, and statistical measurements such as mean, median, skewness, kurtosis, and standard deviation of grain size. Additional data submitted for the Brine Disposal Program by Science Applications, Inc. (SAI) and collected during multiple cruises of the Texas Star in September of 1977, the Dixie Isle in March of 198, and the Gus III from October 1978-May of 1979 were not added to the database due to errors.

The MAFLA (Mississippi, Alabama, Florida) Study was funded by NOAA as part of the Outer Continental Shelf Program. Dr. L.J. Doyle produced grain size analyses in the historic 073 format for 2,168 sea floor samples collected on multiple cruises (MAFLA cruises 2, 10, 11, 29, 39, 14, 21, and MAFLA DM1 and DM2) conducted in the Gulf of Mexico from May 16, 1974 through February 20, 1978. Data include collecting institution, ship, cruise, sample id, latitude/longitude, date of collection, water depth, sampling device, method of analysis, sample weight, sampled interval, raw weight percentages of sediment, within a given phi range. Some samples also have percentages of total gravel, sand, silt, clay, and statistical measurements such as mean, median, skewness, kurtosis, and standard deviation of grain size. These data are part of the larger NCEI digital grain size database.

Abstract (en): The American Time Use Survey (ATUS) collects information on how people living in the United States spend their time. Data collected in this study measured the amount of time that people spent doing various activities in 2005, such as paid work, child care, religious activities, volunteering, and socializing. Respondents were randomly selected from households that had completed their final month of the Current Population Survey (CPS), and were interviewed two to five months after their household's last CPS interview. Respondents were interviewed only once and reported their activities for the 24-hour period from 4 a.m. on the day before the interview until 4 a.m. on the day of the interview. Respondents indicated the total number of minutes spent on each activity, including where they were and whom they were with. Except for secondary child care, data on activities done simultaneously with primary activities were not collected. Part 1, Respondent and Activity Summary File, contains demographic information about respondents and a summary of the total amount of time they spent doing each activity that day. Part 2, Roster File, contains information about household members and nonhousehold children under the age of 18. Part 3, Activity File, includes additional information on activities in which respondents participated, including the location of each activity and the total time spent on secondary child care. Part 4, Who File, includes data on who was present during each activity. Part 5, ATUS-CPS 2005 File, contains data on respondents and members of their household collected two to five months prior to the ATUS interviews during their participation in the Current Population Survey (CPS). Parts 6-10 contain supplemental data files that can be used for further analysis of the data. Part 6, Case History File, contains information about the interview process, such as identifiers and interview outcome codes. Part 7, Call History File, gives information about each call attempt, including the call date and outcome. Part 8, Trips File, provides information about the number, duration, and purpose of overnight trips away from home for two or more nights in a row. Part 9, Replicate Weights File I, contains base weights, replicated base weights, and replicate final weights for each case that was selected to be interviewed for ATUS, while Part 10, Replicate Weights File II, contains replicate weights that were generated using the 2006 weighting method. Demographic variables include sex, age, race, ethnicity, education level, income, employment status, occupation, citizenship status, country of origin, relationship to household members, and the ages and number of children in the household. The data contain weight variables which should be used in analyzing the data. Unweighted data are not representative of the population due to differences between population groups in both sampling and nonresponse. ATUS weight variables include the ATUS final weight (TUFINLWGT), which indicates the number of person-days the respondent represents, the ATUS base weight (TUBWGT), and a ATUS final weight based on 2006 weighting methodology (TU06FWGT). ATUS weights were selected from the Current Population Survey (CPS), and CPS weights (after the first-stage adjustment) are the basis for the ATUS weights. These base weights were adjusted to account for the fact that less populous states were not oversampled in ATUS, as they were in the CPS. Further adjustments were made to account for the probability of selecting each household within the ATUS sampling strata and the probability of selecting each person from each sample household. Part 9 contains replicate weights for the variable TUFINLWGT, as well as base weights, while Part 10 contains replicate weights for the variable TU06FWGT. ATUS replicate weights were based on the replicate weights developed for the CPS. ATUS began with the CPS replicate weight after the first-stage ratio adjustment, and each replicate was processed through all of the stages of the ATUS weighting procedure. The CPS replicate weights were based on a modified balanced half-sample method of replication, developed in the 1980s by Robert Fay. For more information about the replicate weights, see the publication, Technical Paper 63RV: Current Population Survey -- Design and Methodology, available via the Bureau of Labor Statistics Web site. More information on the weighting variables used in this study can be found in t...

Abstract

The Government of the Kyrgyz Republic, with support from UNICEF finalized and launched a Multiple Indicator Cluster Survey (MICS 6) in 2018. The survey provides statistically sound and internationally comparable data essential for developing evidence-based policies and programmes, and for monitoring progress toward national goals and global commitments. Data and information from MICS6 provides credible and reliable evidence for the Government of Kyrgyz Republic draw a comprehensive picture of the lives of children and women in Kyrgyzstan and monitor progress towards Sustainable Development Goals (SGDs). It helps the government and its stakeholders to understand disparities and the wider development challenges in the country.

The 2018 Kyrgyzstan MICS has as its primary objectives:

• To provide high quality data for assessing the situation of children, adolescents, women and households in Kyrgyzstan;

• To furnish data needed for monitoring progress toward national goals, as a basis for future action;

• To collect disaggregated data for the identification of disparities, to inform policies aimed at social inclusion of the most vulnerable;

• To validate data from other sources and the results of focused interventions;

• To generate data on national and global SDG indicators;

• To generate internationally comparable data for the assessment of the progress made in various areas, and to put additional efforts in those areas that require more attention;

• To generate behavioural and attitudinal data not available in other data sources.

Geographic coverage

The sample for the Kyrgyz Republic MICS 2018 was designed to provide estimates at the national/area/sub-population level, for urban and rural areas. Specifically, the sample for the Kyrgyz Republic MICS 2018 survey included 7 regions and two cities of the country: Batken, Jalal-abad, Issyk-kul, Naryn, Talas, Chui region and Bishkek, Osh cities.

Analysis unit

• Individuals

• Households

Universe

The survey covered all de jure household members (usual residents), all women age 15-49 years, and mothers (or caretakers) of children 0 to 17 years living in the houshold. Additionally a basic skills assessment was administered to children age 7 - 14 years.

Kind of data

Sample survey data [ssd]

Sampling procedure

SAMPLING FRAME

A two-stage, stratified cluster sampling approach was used for the selection of the survey sample. The sampling frame was based on the 2009 Country Census of Population and Housing. The primary sampling units (PSUs) selected at the first stage were the enumeration areas (EAs) defined for the census enumeration. After conducting the listing of households in the sample enumeration areas, in a random systematic sample of 20 households was selected in each EA.

SAMPLE SIZE AND SAMPLE ALLOCATION

The overall sample size for the 2018 Kyrgyz Republic MICS was calculated as 7,200 households. For the calculation of the sample size, the key indicator used was the underweight prevalence among children age 0-4 years. Since the survey results are tabulated at the regional level, it was necessary to determine the minimum sample size for each region. Variables considered to determine the minimum sample size for the region: underweight prevalence, design effect, and mean household size (more details are provided in Appendix A in the report available in related materials.

The estimated sample size requirements for obtaining a relative margin of error of 10% for stunting prevalence of children under-five (with a 2014 estimate of 13%, and calculated sample size of 6,858 households). It is also necessary to determine the sample size for each region, although sometimes the requirements for the level of precision are relaxed for sub-national domains. So, all regional level sample size estimates were also done for regions of the Kyrgyz Republic for stunting children (calculated sample size of 7,466 households).

It was also desired to have about minimum of 70 and max 110 "Children age 12-23 months" in every region (only 60 reserved for Osh city). Based on a review of the 2014 results, and above requirements, it was decided to have a minimum of sample size of 400 households and a maximum sample size of 1,300 HHs for Bishkek. These calculations resulted a final sample size of 7,200 households within 360 clusters.

Within each region, the sample EAs are allocated to the 30% urban and 70% rural strata proportionately to the number of households in each stratum, except for two urban strata Bishkek and Osh city since they do not have any rural strata. The purpose of this disproportionate allocation is to have more cases in urban domains of such regions since their actual proportion of rural is very high already. This allocation of the sample results in an urban sample of 174 sample EAs and 3,480 households, and a rural sample of 186 EAs and 3,720 households, which should be sufficient for providing reliable estimates for the urban and rural domain at the national level.

SELECTION OF ENUMERATION AREAS (CLUSTERS)

Census enumeration areas were selected from each of the sampling strata by using systematic probability proportional to size (pps) sampling procedures, based on the number of households in each enumeration area from the 2009 Census frame. The first stage of sampling was thus completed by selecting the required number of sample EAs from each of the nine regions, separately for the urban and rural strata.

LISTING ACTIVITIES

Given that there had been many changes in the households enumerated in the 2009 Census, a new listing of households was conducted in all the sample enumeration areas prior to the selection of households. For this purpose, listing teams were trained to visit all the selected enumeration areas and list all households in each enumeration area. Listing of households and enumeration areas was done by the National Statistical Committee from May to July 2018. One team was trained in each area. The segmentation procedures were applied in only two of the enumeration areas with large size in the city of Bishkek. EAs were divided in almost three equal size segments and one of them was selected randomly in which full listing and selection procedures were implemented.

SELECTION OF HOUSEHOLDS

Lists of households were prepared by the listing teams in the field for each enumeration area. The households were then sequentially numbered from 1 to Mhi (the total number of households in each enumeration area) at the National Statistical Committee, where the selection of 20 households in each enumeration area was carried out using random systematic selection procedures. The MICS6 spreadsheet template for systematic random selection of households was adapted for this purpose.

Mode of data collection

Face-to-face [f2f]

Research instrument

Four questionnaires were used in the survey: 1) a household questionnaire to collect basic demographic information on all de jure household members (usual residents), the household, and the dwelling; 2) a questionnaire for individual women administered in each household to all women age 15-49 years; 3) an under-5 questionnaire, administered to mothers (or caretakers) of all children under 5 living in the household; and 4) a questionnaire for children age 5-17 years, administered to the mother (or caretaker) of one randomly selected child age 5-17 years living in the household.

Additionally, for all children age 0-2 years with a completed Questionnaire for Children Under Five, the Questionnaire Form for Vaccination Records, was used to record vaccinations from medical vaccinations card (form No 63).

In addition to the administration of questionnaires, fieldwork teams tested the salt used for cooking in the households for iodine content, observed the place for handwashing, availability of water and soup, measured the weights and heights of children age under 5 years. Details and findings of these observations and measurements are provided in the respective sections of the report. Further, the questionnaire for children age 5-17 years included basic skills that are necessary for learning (reading and mathematics assessment) administered to children age 7-14 years.

The questionnaires were based on the MICS6 standard questionnaires.2 From the MICS6 model Russian version, the questionnaires were customised and translated into the Kyrgyz language and were pre-tested in the Chui region and Bishkek during May, 2018. Based on the results of the pre-test, modifications were made to the wording and translation of the questionnaires.

Cleaning operations

Data were received at the central office of National Statistical Committee via the Internet File Streaming System (IFSS) integrated into the management application on the supervisors' tablets. Whenever logistically possible, synchronisation was daily. The central office communicated application updates to field teams through this system.

During data collection and following the completion of fieldwork, data were edited according to editing process described in detail in the Guidelines for Secondary Editing, a customised version of the standard MICS6 documentation.

Data were analysed using the Statistical Package for Social Sciences (SPSS) software, Version 24. Model syntax and tabulation plan developed by UNICEF were customised and used for this purpose.

Response rate

Of 7,200 households selected for the sample, 7,065 were found occupied. Of these, 6,968 were successfully interviewed for a household response rate of 98.6% percent.

In the interviewed households, 5,826 women age 15-49 years were identified. Of these, 5,742 women

Dataset

This dataset was created by Mohamed abdelrazik

Contents

From 2001-2013, in coordination with Pacific Islands Regional Office's (PIRO) Tuna Treaty Monitoring Program, the Size Frequency Sampling Program at the cannery collected length-frequency data from American Samoa-based longliners, in addition to the purse seiners offloading at the cannery (which was the primary target of this PIRO program). Only the length-frequency data for the top 5-10 longl...

This dataset is about: Bulk sediment x-ray diffraction analyses (weight percentage) of surface sediment samples from the southern Florida Straits and the Bahama Platform, sample set 2. Please consult parent dataset @ https://doi.org/10.1594/PANGAEA.758234 for more information.

Change in Three Population Estimates and Personal Network Size over the Original and MoS Estimator.

Change in Three Population Estimates and Personal Network Size over the Recursive Trimming Process through Seven Iterations using the Original Estimator.

FIsh caught on NOAA R/V Townsend Cromwell cruises from 1982 to 1998 and NOAA R/V Oscar E Sette in 2007 and 2009 were measured and/or weighed and sex determination was conducted. Specimen samples were also preserved from selected fishes.

Catch weights data from a bottom trawl survey series: Trawl positions, duration and gear parameters; catch weights of the target species; length frequency distributions; age, sex and maturity. The target species are: cod, haddock, whiting, saithe, hake, black and white-bellied anglerfish, megrim, plaice, sole, herring, blue whiting, mackerel, horse mackerel, blonde ray, cuckoo ray, spotted ray and thornback ray. Data coverage is for the waters around Ireland from 10m to 180m in depth (Irish Sea, Celtic Sea, West and North of Ireland). The spatial coverage varied from year-to year. The sampling locations were selected from known fishing tracks while trying to ensure maximum spatial spread over the survey area. The surveys took place in February-March of 2004-2009. Samples were collected using a GOV bottom trawl (a scaled-down version of the IBTS standard, see: Manual for the International Bottom Trawl Surveys, ICES Survey Protocols SISP 1-IBTS VIII). The main purpose of the survey was to collect information on the length and age at which target species first reach maturity in the waters around Ireland. The surveys were carried out by the Marine Institute (Ireland) Fisheries Science team. All data collected on the survey are available.

Blue crab abundance, distribution and size structure from 1 or 2 research pots used by commercial fishers for each day's fishing, throughout Spencer Gulf, South Australia since 2006.