description: This study was undertaken to provide information on the characteristics and distribution of surficial sediments off the eastern United States. Accordingly, long traverses were run across the continental shelf and in most case carrying over the shelf break. This data set includes data from those 9 traverses which were conducted north of Virginia. These data constitute the first systematic sampling of the U.S. Atlantic margin to show the effects of environmental factors (e.g. increasing distance from shore, water depth) on the sediment distribution. Sampling was performed with a primitive grab sampler; navigational methods were not discussed in this report.; abstract: This study was undertaken to provide information on the characteristics and distribution of surficial sediments off the eastern United States. Accordingly, long traverses were run across the continental shelf and in most case carrying over the shelf break. This data set includes data from those 9 traverses which were conducted north of Virginia. These data constitute the first systematic sampling of the U.S. Atlantic margin to show the effects of environmental factors (e.g. increasing distance from shore, water depth) on the sediment distribution. Sampling was performed with a primitive grab sampler; navigational methods were not discussed in this report.

Recently big data and its applications had sharp growth in various fields such as IoT, bioinformatics, eCommerce, and social media. The huge volume of data incurred enormous challenges to the architecture, infrastructure, and computing capacity of IT systems. Therefore, the compelling need of the scientific and industrial community is large-scale and robust computing systems. Since one of the characteristics of big data is value, data should be published for analysts to extract useful patterns from them. However, data publishing may lead to the disclosure of individuals’ private information. Among the modern parallel computing platforms, Apache Spark is a fast and in-memory computing framework for large-scale data processing that provides high scalability by introducing the resilient distributed dataset (RDDs). In terms of performance, Due to in-memory computations, it is 100 times faster than Hadoop. Therefore, Apache Spark is one of the essential frameworks to implement distributed methods for privacy-preserving in big data publishing (PPBDP). This paper uses the RDD programming of Apache Spark to propose an efficient parallel implementation of a new computing model for big data anonymization. This computing model has three-phase of in-memory computations to address the runtime, scalability, and performance of large-scale data anonymization. The model supports partition-based data clustering algorithms to preserve the λ-diversity privacy model by using transformation and actions on RDDs. Therefore, the authors have investigated Spark-based implementation for preserving the λ-diversity privacy model by two designed City block and Pearson distance functions. The results of the paper provide a comprehensive guideline allowing the researchers to apply Apache Spark in their own researches.

In September 2013, an experiment using Distributed Acoustic Sensing (DAS) was conducted at Garner Valley, a test site of the University of California Santa Barbara (Lancelle et al., 2014). This submission includes one 45 kN shear shaker (called "large shaker" on the basemap) test for three different measurement systems. The shaker swept from a rest, up to 10 Hz, and back down to a rest over 60 seconds.

Lancelle, C., N. Lord, H. Wang, D. Fratta, R. Nigbor, A. Chalari, R. Karaulanov, J. Baldwin, and E. Castongia (2014), Directivity and Sensitivity of Fiber-Optic Cable Measuring Ground Motion using a Distributed Acoustic Sensing Array (abstract # NS31C-3935), AGU Fall Meeting. https://agu.confex.com/agu/fm14/webprogram/Paper19828.html

The e-poster is available at: https://agu.confex.com/data/handout/agu/fm14/Paper_19828_handout_696_0.pdf

Abstract

In response to the COVID-19 pandemic and to mitigate the spread of the disease, UNHCR Thailand MCO procured Non-Food Items (NFI) items, namely soap, cloth masks and hand sanitizers, and distributed to vulnerable refugees who resided in the 9 camps along the border of Thailand-Myanmar. Additionally, blankets were procured and distributed to every household in 4 camps in Mae Hong Son province during the winter. These items were distributed in the second half of 2021 to first half of 2022. Following the distributions, UNHCR conducted the Post Distribution Monitoring (PDM) in the 2nd and 3rd quarter of 2022 to collect refugees’ feedback on the distribution process and suitability of the items for further improvement in the future. The methodology used to determine sample size for this PDM exercise was the scientific method, with sample sizes calculated based on a confidence level of 90% and confidence interval of 5% and the results were entered into KOBO. The overall feedback received was satisfactory. About 98% of respondents faced no challenges in traveling to the distribution points to receive the items. 79% of the respondents reported receiving sufficient NFIs and 95% of respondents stated that the item quality was good.

Geographic coverage

National

Analysis unit

Households

Universe

Recipients on NFIs in Thailand in 2022

Kind of data

Sample survey data [ssd]

Sampling procedure

2200 households were sampled from distribution lists in camps where the distribution has been conducted. Sample size calculated at confidence level 90% and confidence interval 5%. The total sampling frame was approximately 18,000 households.

Mode of data collection

Face-to-face [f2f]

Current theory of the uptake of semivolatile organic compounds in passive air samplers (PAS) assumes uniform chemical distribution and no kinetic resistance within the passive sampling media (PSM) such as polystyrene-divinylbenzene resin (XAD) and polyurethane foam (PUF). However, these assumptions have not been tested experimentally and are challenged by some recently reported observations. To test the assumptions, we performed kinetic uptake experiments indoors using cylindrical PSM that had been concentrically segmented into three layers. Both XAD and PUF were positioned in the same type of sampler housing to eliminate the variation caused by the different housing designs, which enabled us to quantify differences in uptake caused by the properties of the PSM. Duplicated XAD (PUF) samples were retrieved after being deployed for 0, 1 (0.5), 2 (1), 4 (2), 8 (4), 12 (8), and 24 (12) weeks. Upon retrieval, the PSM layers were separated and analyzed individually for PCBs. Passive sampling rates (R) were lower for heavier PCB homologues. Within a homologue group, R for XAD was higher than that for PUF, from which we infer that the design of the “cylindrical can” housing typically used for XAD PAS lowers the R compared to the “double bowl” shelter commonly used for PUF-disk PAS. Outer layers of the PSM sequestered much higher levels of PCBs than inner layers, indicative of a kinetic resistance to chemical transfer within the PSM. The effective diffusivities for chemical transfer within PSM were derived and were found negatively correlated with the partition coefficients between the PSM and air. Based on the results, we conclude that the PSM-side kinetic resistance should be considered when investigating factors influencing R and when deriving R based on the loss of depuration compounds.

Distribution of samples acquired for species of bats used in this study. N = total sample size.

The Standing Waters Sample Points dataset is a GIS dataset of survey sample locations used during the course of the Scottish Loch Survey Project. The statutory nature conservation agencies in Scotland, England and Wales have a long history of carrying out routine aquatic plant (macrophyte) surveys of lakes. This involves identifying and estimating the abundance of emergent, submerged, floating leaved, and free-floating macrophytes that grow in or near the water. The results of these surveys are held in the Standing Waters Database which is available to view on the SNH website. (http://gateway.snh.gov.uk/pls/apex_cagdb2/f?p=111:1000:1289803086875801).

Collecting fine-scale occurrence data for marine species across large spatial scales is logistically challenging but is important to determine species distributions and for conservation planning. Inaccurate descriptions of species ranges could result in designating protected areas with inappropriate locations or boundaries. Optimising sampling strategies, therefore, is a priority for scaling up survey approaches using tools such as environmental DNA (eDNA) to capture species distributions. In a marine context, commercial vessels, such as ferries, could provide sampling platforms allowing access to under-sampled areas and repeatable sampling over time to track community changes. However, sample collection from commercial vessels could be biased and may not represent biological and environmental variability. Here, we evaluate whether sampling along Mediterranean ferry routes can yield unbiased biodiversity survey outcomes, based on perfect knowledge from a stacked species distribution mod..., This dataset includes binary species distribution models for 43 species of marine predators (9 mammals, 13 elasmobranchs, 20 fishes, and one turtle) from the Mediterranean Sea, and a binary stacked species distribution model showing the species richness of all marine predators. Models are available at 0.083° x 0.083° resolution in a WGS84 projection. Species distribution models were made with occurrence data collated from publically available data sources GBIF, OBIS, EurOBIS, and ACCOBAMS, and the Medlem database which is available upon request from its authors, as well as environmental predictors from Bio-Oracle and Marspec. Quality checking of occurrence records prior to modelling has been carried out including removal of records with GPS coordinates with fewer than three decimal places and duplicates between records based on the species, coordinates, year and month. Records were manually filtered further to identify records with the same species, year and month but different coordina..., .tiff files can be opened with GIS software or in R using the raster package.

Abstract

The dataset is a relational dataset of 8,000 households households, representing a sample of the population of an imaginary middle-income country. The dataset contains two data files: one with variables at the household level, the other one with variables at the individual level. It includes variables that are typically collected in population censuses (demography, education, occupation, dwelling characteristics, fertility, mortality, and migration) and in household surveys (household expenditure, anthropometric data for children, assets ownership). The data only includes ordinary households (no community households). The dataset was created using REaLTabFormer, a model that leverages deep learning methods. The dataset was created for the purpose of training and simulation and is not intended to be representative of any specific country.

The full-population dataset (with about 10 million individuals) is also distributed as open data.

Geographic coverage

The dataset is a synthetic dataset for an imaginary country. It was created to represent the population of this country by province (equivalent to admin1) and by urban/rural areas of residence.

Analysis unit

Household, Individual

Universe

The dataset is a fully-synthetic dataset representative of the resident population of ordinary households for an imaginary middle-income country.

Kind of data

ssd

Sampling procedure

The sample size was set to 8,000 households. The fixed number of households to be selected from each enumeration area was set to 25. In a first stage, the number of enumeration areas to be selected in each stratum was calculated, proportional to the size of each stratum (stratification by geo_1 and urban/rural). Then 25 households were randomly selected within each enumeration area. The R script used to draw the sample is provided as an external resource.

Mode of data collection

other

Research instrument

The dataset is a synthetic dataset. Although the variables it contains are variables typically collected from sample surveys or population censuses, no questionnaire is available for this dataset. A "fake" questionnaire was however created for the sample dataset extracted from this dataset, to be used as training material.

Cleaning operations

The synthetic data generation process included a set of "validators" (consistency checks, based on which synthetic observation were assessed and rejected/replaced when needed). Also, some post-processing was applied to the data to result in the distributed data files.

Response rate

This is a synthetic dataset; the "response rate" is 100%.

This dataset contains information extracted from 70 studies identified through a systematic review of the peer-reviewed literature (Web of Science and SCOPUS databases both searched on the 13/02/2023) to evaluate the effect of spatial sampling bias correction methods in presence-only species distribution models., Web of Science and SCOPUS databases were searched on the 13/02/2023 using the following search string: ALL=(("species distribution*" OR SDM OR "environmental niche" OR ENM OR "resource selection" OR "habitat selection" OR suitability OR occurrence) AND ("presence-only" OR “presence data†OR "presence-background" OR “pseudo absence†OR opportunistic OR “citizen science†OR preferential OR maxent OR biomod)) After removing duplicates, the search returned 8564 unique studies, and these were further filtered to remove studies that fell outside of the review subject area based on the title and abstract and then the remaining studies were filtered by content based on the criteria that they involved the building of SDMs using PO data (i.e. no absence information, including inferred absences from complete species lists) and that the study included a direct comparison between SDMs that attempted to correct models for SSB and models without this correction. To avoid ambiguity, studies were requir..., The file can be opened with any software capable of reading a .csv file., ---

title: Data for the meta-analysis of the effects of spatial sampling bias correction on presence-only species distribution models. output: pdf_document: default

html_document: default

This dataset contains information extracted from 220 studies identified through a systematic review of the peer-reviewed literature (Web of Science and SCOPUS databases both searched on the 13/02/2023) to evaluate the usage and effect of spatial sampling bias correction methods in presence-only species distribution models.

Description of the Data and file structure

The dataset contains the following columns:

• study_id = Unique number for identifying each study.
• bibtexkey = Author/year key.
• journal = Name of journal publishing the study.
• title = Title of article.
• volume = Volume number of published study.
• year = Year of publication for study.
• doi = doi of study.
• focal_kingdom = Kingdom of focal species (all named, separated by '|').
• f...

This product summarizes the collection and analysis of bed material sample grain size distribution collected from the Iron Gate, Copco, and J.C. Boyle Reservoirs located in Northern California and Southern Oregon on the Klamath River. Samples were collected on June 16, 2020 from cores (less than 1m depth) and processed for the full size distribution.

The global sampling bags market is projected to be valued at $1.2 billion in 2024, driven by factors such as increasing consumer awareness and the rising prevalence of industry-specific trends. The market is expected to grow at a CAGR of 6.2%, reaching approximately $2.1 billion by 2034.

A key task in understanding and mapping the complex mass transport pathways and potential transformation processes of contaminants in coastal regions such as the German Bight is to determine and evaluate the most significant contribution sources into coastal areas. Rivers represent one key input source within this context. As part of a river campaign in June 2016, sediment and freshwater samples were taken from the Weser river and its tributaries to identify their elemental and isotopic fingerprint and to investigate potential inputs to the German Bight. All sediment samples were taken using a Van Veen grab sampler and were analyzed for their grain size distribution by laser diffraction.

The environmental DNA (eDNA) approach is an emerging tool for monitoring marine biodiversity. However, the sampling effort needs optimization according to the site characteristics and target taxonomic groups. In this study, we optimized the eDNA sampling effort in terms of sample volume and number of replicates to monitor the diversity of marine vertebrates (mainly fish) in Hong Kong's subtropical waters that show a gradient of estuarine to oceanic waters. To maximize detection, we used three pairs of metabarcoding primers (12S†v5, MiFish†U, and MiFish†E). We compared vertebrate diversity in 78 water samples, ranging from 1 to 10 L, collected from oceanic and estuarine sites. Metabarcoding yielded a total of 140 vertebrate species, of which 18 were unique to the estuarine site, 66 unique to the oceanic site, and 56 shared between both sites. The detected species were predominantly ray†finned fish (136 species), and the three primer pairs exhibited differential sensitivity toward differe..., Marine water samples were collected 1 m beneath the water surface using an electric water pump and randomly distributed into sterile sampling bags of different volumes. The samples were collected from an estuarine site (22.39423, 113.90088) on 24 March 2023 and an oceanic site (22.351714, 114.350139) on 15 July 2023. The water samples were filtered using 0.45 micron pore size glass fiber membranes, and the eDNA was extracted using CTAB-chloroform methods. The target genes were amplified using 12S-v5 (Riaz), MiFish-U, and Mifish-E primers. PCR reaction solutions containing KOD polymerase premix (Toyobo, Osaka, Japan), 200 nM primers, and 1.0 ng/μL DNA template were subjected to a 5-min initial denaturation stage at 98 °C, followed by 35 cycles of 5 s 98 °C, 5 s 60 °C, and 10 s 68 °C, and a 5 min final extension stage at 68 °C. The field control was also included as a negative control. The successful reactions were purified from the gel using a gel extraction kit (Qiagen, Hilden, Germany)..., , # Raw sequences from estuarine and oceanic sites

https://doi.org/10.5061/dryad.08kprr58c

These are the raw sequences produced from an eDNA study in estuarine and oceanic sites in Hong Kong.

Description of the data and file structure

This dataset includes raw sequencing data of three primer pairs: 12S-V5, MiFish-U, and MiFish-E. The pair-end raw sequences were demultiplexed into 80*2 fastq files for every primer, with XXX_1.fq as forward reads, XXX_2.fq as reverse reads. However, due to the use of PCR-free library preparations, the reads were mixed-oriented. The reads could be re-oriented using cutadapt, by adding --revcomp command during primer removal steps.

We studied two sites in this study: "estuarine" and "oceanic". The filenames starting with "west" represent the estuarine samples, whereas those with "east" represent the oceanic samples. The samples are further divided into eDNA extracted from 1 L(#01-20), 2 L (#21-30), 4 L (#...

This is the collection of cores and samples held by BGS for the sea areas around the UK. It includes material collected by BGS during its mapping projects and material donated to BGS by other organisations. The main core and sample types are grab samples (sea-bed), gravity cores, vibrocores and rock-drill cores (up to 6m in length), and borehole cores (up to 274m in length). The sea-bed grab samples are Holocene sediments present at the sea-bed and are stored in plastic jars. Where possible, sub-sample material has been retained after analysis. The bulk of the cores consist of Holocene and Pleistocene material. The rest are of bedrock ranging in age from Neogene to Pre-Cambrian. A lot of the core was collected in plastic liner tubing and the unlithified cores have been split vertically. The bulk of the material was collected in the late 1960s, 1970s and 1980s and early 1990's with ongoing additions of new sample and cores each year. The distribution is very variable, but, in general, there are grab samples and/or shallow cores spaced about every 5 - 10km across the entire UK Continental Shelf. In some localised areas the sampling density is much higher. The samples and cores are applicable to a wide range of uses including environmental, geotechnical and geological studies.

Abstract

The Household Income, Expenditure and Consumption Survey (HIECS) is of great importance among other household surveys conducted by statistical agencies in various countries around the world. This survey provides a large amount of data to rely on in measuring the living standards of households and individuals, as well as establishing databases that serve in measuring poverty, designing social assistance programs, and providing necessary weights to compile consumer price indices, considered to be an important indicator to assess inflation.

The first survey that covered all the country governorates was carried out in 1958/1959 followed by a long series of similar surveys. The current survey, HIECS 2012/2013, is the eleventh in this long series.

Starting 2008/2009, Household Income, Expenditure and Consumption Surveys were conducted each two years instead of five years. This would enable better tracking of the rapid changes in the level of the living standards of the Egyptian households.

CAPMAS started in 2010/2011 to follow a panel sample of around 40% of the total household sample size. The current survey is the second one to follow a panel sample. This procedure will provide the necessary data to extract accurate indicators on the status of the society. The CAPMAS also is pleased to disseminate the results of this survey to policy makers, researchers and scholarly to help in policy making and conducting development related researches and studies

The survey main objectives are: - To identify expenditure levels and patterns of population as well as socio- economic and demographic differentials. - To measure average household and per-capita expenditure for various expenditure items along with socio-economic correlates. - To Measure the change in living standards and expenditure patterns and behavior for the individuals and households in the panel sample, previously surveyed in 2008/2009, for the first time during 12 months representing the survey period. - To define percentage distribution of expenditure for various items used in compiling consumer price indices which is considered important indicator for measuring inflation. - To estimate the quantities, values of commodities and services consumed by households during the survey period to determine the levels of consumption and estimate the current demand which is important to predict future demands. - To define average household and per-capita income from different sources. - To provide data necessary to measure standard of living for households and individuals. Poverty analysis and setting up a basis for social welfare assistance are highly dependent on the results of this survey. - To provide essential data to measure elasticity which reflects the percentage change in expenditure for various commodity and service groups against the percentage change in total expenditure for the purpose of predicting the levels of expenditure and consumption for different commodity and service items in urban and rural areas. - To provide data essential for comparing change in expenditure against change in income to measure income elasticity of expenditure. - To study the relationships between demographic, geographical, housing characteristics of households and their income. - To provide data necessary for national accounts especially in compiling inputs and outputs tables. - To identify consumers behavior changes among socio-economic groups in urban and rural areas. - To identify per capita food consumption and its main components of calories, proteins and fats according to its nutrition components and the levels of expenditure in both urban and rural areas. - To identify the value of expenditure for food according to its sources, either from household production or not, in addition to household expenditure for non-food commodities and services. - To identify distribution of households according to the possession of some appliances and equipments such as (cars, satellites, mobiles ,…etc) in urban and rural areas that enables measuring household wealth index. - To identify the percentage distribution of income earners according to some background variables such as housing conditions, size of household and characteristics of head of household. - To provide a time series of the most important data related to dominant standard of living from economic and social perspective. This will enable conducting comparisons based on the results of these time series. In addition to, the possibility of performing geographical comparisons.

Compared to previous surveys, the current survey experienced certain peculiarities, among which : 1) The total sample of the current survey (24.9 thousand households) is divided into two sections: a - A new sample of 16.1 thousand households. This sample was used to study the geographic differences between urban governorates, urban and rural areas, and frontier governorates as well as other discrepancies related to households characteristics and household size, head of the household's education status, ....... etc.

b - A panel sample of 2008/2009 survey data of around 8.8 thousand households were selected to accurately study the changes that may have occurred in the households' living standards over the period between the two surveys and over time in the future since CAPMAS will continue to collect panel data for HIECS in the coming years.

2) Some additional questions that showed to be important based on previous surveys results, were added to the survey questionnaire, such as: a - The extent of health services provided to monitor the level of services available in the Egyptian society. By collecting information on the in-kind transfers, the household received during the year; in order to monitor the assistance the household received from different sources government, association,..etc. b - Identifying the main outlet of fabrics, clothes and footwear to determine the level of living standards of the household.

3) Quality control procedures especially for fieldwork are increased, to ensure data accuracy and avoid any errors in suitable time, as well as taking all the necessary measures to guarantee that mistakes are not repeated, with the application of the principle of reward and punishment.

Geographic coverage

National coverage, covering a sample of urban and rural areas in all the governorates.

Analysis unit

• Household/family
• Individual/person

Universe

The survey covered a national sample of households and all individuals permanently residing in surveyed households.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample of HIECS 2012/2013 is a self-weighted two-stage stratified cluster sample, of around 24.9 households. The main elements of the sampling design are described in the following.

Sample Size The sample has been proportionally distributed on the governorate level between urban and rural areas, in order to make the sample representative even for small governorates. Thus, a sample of about 24863 households has been considered, and was distributed between urban and rural with the percentages of 45.4 % and 54.6, respectively. This sample is divided into two parts: a) A new sample of 16094 households selected from main enumeration areas. b) A panel sample of 8769 households (selected from HIECS 2010/2011 and the preceding survey in 2008/2009).

Cluster Size The cluster size in the previous survey has been decreased compared to older surveys since large cluster sizes previously used were found to be too large to yield accepted design effect estimates (DEFT). As a result, it has been decided to use a cluster size of only 8 households (In HIECS 2011/2012 a cluster size of 16 households was used). While the cluster size for the panel sample was 4 households.

Core Sample The core sample is the master sample of any household sample required to be pulled for the purpose of studying the properties of individuals and families. It is a large sample and distributed on urban and rural areas of all governorates. It is a representative sample for the individual characteristics of the Egyptian society. This sample was implemented in January 2012 and its size reached more than 1 million household (1004800 household) selected from 5024 enumeration areas distributed on all governorates (urban/rural) proportionally with the sample size (the enumeration area size is around 200 households). The core sample is the sampling frame from which the samples for the surveys conducted by CAPMAS are pulled, such as the Labor Force Surveys, Income, Expenditure And Consumption Survey, Household Urban Migration Survey, ...etc, in addition to other samples that may be required for outsources.

New Households Sample 1000 sample areas were selected across all governorates (urban/rural) using a proportional technique with the sample size. The number required for each governorate (urban/rural) was selected from the enumeration areas of the core sample using a systematic sampling technique.

A more detailed description of the different sampling stages and allocation of sample across governorates is provided in the Methodology document available among external resources in Arabic.

Mode of data collection

Face-to-face [f2f]

Research instrument

Three different questionnaires have been designed as following: 1) Expenditure and Consumption Questionnaire. 2) Diary Questionnaire (Assisting questionnaire). 3) Income Questionnaire.

In designing the questionnaires of expenditure, consumption and income, we were taking into our consideration the following: - Using the recent concepts and definitions of International Labor Organization approved in the International Convention of

The dataset presents the results of the validation of the method by intensity fluorimetry to quantify formaldehyde contents in samples of fresh white cheese. Additionally, the results of the analysis of 412 cheese samples over a period of 12 months are shown. Of the total samples, 32.9% (n=135) have quantified levels of formaldehyde and distributed in four seasons: late dry, transitional dry to rainy, rainy, transitional rainy to dry and early dry. The highest percentages of formaldehyde-positive samples are concentrated in the seasons with the highest temperature values of the year: late dry (60.9%, 27.5 °C) and dry to rainy transitional season (79.7%, 28.3 °C) and tend to decrease in rainy (25.4%, 26.9 °C) and in rainy to dry transition (1.5%, 26.7 °C), characterized by having the lowest temperature records. The association between the prevalence of formaldehyde-positive samples and temperature was shown to be statistically significant, providing evidence that would indicate the use of formaldehyde to prevent the deterioration of milk and/or dairy product on the shelf due to elevated temperature values.

The purpose of this document is to assist stakeholders with the interpretation of legislation and regulatory requirements about distributing samples of prescription drugs, non-prescription drugs and natural health products.

These data were presented in Weinstock et al., 2018 (see Fig 1 and 2). Only downcast density data were analyzed and presented in Weinstock et al., 2018. Water density data were converted to % of water column maximum in Figure 2 of Weinstock et al., 2018.

These data are available in two formats. The version in the BCO-DMO data system contains data from all casts concatenated together with added columns cast_name, Cast_time_UTC, start_latitude, start_longitude, end_latitude, and end_latitude which was originally contained in comment and header lines in 35 cast csv files. The 35 individual cast csv files are available in the \"Data Files\" section as CTD.zip: \"CTD csv files with seabird headers.\"

Related Datasets: CTD casts were conducted immediately before and after the associated larval vertical distribution sampling (separate dataset description) and on both flood and ebb tides.
* CTD cast log for mussel study: https://www.bco-dmo.org/dataset/783749
* Mussel Larvae Vertical Distribution: https://www.bco-dmo.org/dataset/783755

Abstract

The 42nd round was devoted mainly to an enquiry on 'Social consumption. The object was to make an assessment of the benefits derived by various sections of the society from public expenditure incurred by the Government,particularly in the area of education, public distribution and health care. With this view, an integrated survey on maternity and child care,Family planning,utilization of public distribution of system. Education and utilisation of medical services was conducted during July 1986-June 1987.

In the absence of an electronic copy of 'manual of instructions to the filed staff', more details could not be furnished.

Analysis unit

Randomly selectedhousehold and its memebers

Kind of data

Sample survey data [ssd]

Sampling procedure

In the absence of an electronic/hard copy of the 'Sampling design and estimation procedure' details could not be provided

Sampling deviation

There was no deviation from the original sample deviation.

Mode of data collection

Face-to-face [f2f]

Research instrument

The schedule consists of 13 blocks as follows:-

Block-1: Identification of sample household Block-2: Particulars of field work. Block-3.1: Household characteristics. Block-3.2: Quantity and value of purchase of selected commodities during last 30 days ended on _. Block-4.1: Remarks by Investigator. Block-4.2: Remarks by Supervisory officer. Block-5: Demographic particulars and health care Block-5.1: Particulars of immunisation against certain diseases for persons below 16 years Block-5.2: Anti-tetanus injection before child birth. Block-6: Particulars of health care and morbidity relating to children of age 0-4 years. Block-7: Particulars of pre-natal,maternity, and post natal care of mothers corresponding to children with reported age '0' in block-5 Block-8: Particulars of family planning services received Block-9: Death during last 365 days.

A copy of the schedule is attached as external resource.