This document contains a description of the values for coded fields in two datasets, LPD_Assaults_on_officers_2010_2016, and LPD_Use_of_control_2014-2016.

BackgroundGlobally, over 81 million people use e-cigarettes, and the majority of them are young adults. Using e-cigarettes causes different types of adverse health effects both in adults and elderly people. Over time, using e-cigarettes has detrimental consequences on lung function, brain development and numerous other illnesses.MethodsThis study employed a mixed-methods conducted between June and September 2023, comprising two phases: Geographical Information System (GIS) mapping of available e-cigarette point-of-sale (POS) locations and conducting 15 in-depth interviews (IDIs) with e-cigarette retailers, along with 5 key informant interviews (KIIs) involving tobacco control activists and policy experts. ArcGIS was employed for spatial analysis, creating distribution and type maps, and buffer and multi-buffer ring analyses were conducted to assess proximity to hospitals and academic institutions. Data analysis involved descriptive statistics for GIS mapping and qualitative analysis for interview transcripts, utilizing a priori codebook and thematic analysis.ResultsA total of 276 POS were mapped in the entire Dhaka city. About 55 POS were found within 100m distance from academic institutions in Dhaka city, which offers the easy accessibility of young generations to e-cigarettes. The younger generation is becoming the major target for e-cigarettes because of their alluring flavors, appealing looks, and variation in flavors. Sellers have been using different marketing tactics such as postering, offering discounts and using internet marketing on social media. Moreover, they try to convince the customers by saying that e-cigarettes are ‘not harmful’ or ‘less harmful’. However, retailers were mostly taking e-cigarettes from local wholesalers or distributors. Customers buy these products both from in-store and online services. Due to the absence of laws and regulations on e-cigarettes in Bangladesh, the availability, marketing, and selling of e-cigarettes are increasing alarmingly.ConclusionE-cigarette retail shops are mostly surrounded by academic institutions, and it is expanding. Besides, frequent exposure, easy accessibility, and tactful promotion encourage the younger generations to consume e-cigarettes. The government should take necessary control measures on manufacturing, storage, advertising, promotion, sponsorship, marketing, distribution, sale, import, and export in order to safeguard the health and safety of young and future generations.

Documentation

Description and codebook for subset of harmonized variables:

Section 2

Project Name: Evaluating Village Savings and Loan Associations (VSLA)

PIs: Dean Karlan, Beniamino Savonittob, Bram Thuysbaert, Christopher Udry

Research Paper: https://www.povertyactionlab.org/sites/default/files/publications/Impact-of-savings-group-on-the-lives-of-the-poor_Dean-et-al_February2017.pdf

Project ID: 265

Location: 7 districts in South West and Eastern Uganda

Sample: 4508 households randomly selected from 392 villages

Timeline:2009 to 2011

More information: https://www.povertyactionlab.org/evaluation/evaluating-village-savings-and-loan-associations-uganda

Section 3

Surveys:

Section 4

Project Name: Evaluating Village Savings and Loan Associations (VSLA)

PIs: Dean Karlan, Beniamino Savonittob, Bram Thuysbaert, Christopher Udry

Research Paper: https://www.povertyactionlab.org/sites/default/files/publications/Impact-of-savings-group-on-the-lives-of-the-poor_Dean-et-al_February2017.pdf

Project ID: 130

Location: Northern Ghana

Sample: 180 villages in 2 districts in Ghana’s Northern Region

Timeline: 2008 to 2012

More Information: https://www.povertyactionlab.org/evaluation/evaluating-village-savings-and-loan-associations-ghana

Section 5

Surveys:

Section 6

Project Name: Evaluating Village Savings and Loan Associations (VSLA)

PIs: Dean Karlan, Beniamino Savonittob, Bram Thuysbaert, Christopher Udry

Research Paper: https://www.povertyactionlab.org/sites/default/files/publications/Impact-of-savings-group-on-the-lives-of-the-poor_Dean-et-al_February2017.pdf

Project ID: 255

Location: Mzimba, Mchinji, Zomba and Lilongwe districts, Malawi

Sample: 4560 households selected from 380 villages across 4 districts in Malawi.

Timeline: 2009 to 2011

More Information: https://www.povertyactionlab.org/evaluation/evaluating-village-savings-and-loans-associations-malawi

Section 7

Surveys:

Section 8

This dataset was created on 2021-10-06 20:40:18.486 by merging multiple datasets together. The source datasets for this version were:

Evaluation of CARE Village Savings & Loans Associations Program in Uganda (GIS): uganda_panel_gis.dta is a panel dataset at the household member level for all villages sampled in Uganda. The "FPrimary" variable uniquely identifies each female head of household, and the member_id identifies each member within the household.

Evaluation of CARE Village Savings & Loans Associations Program in Ghana (GIS): JPAL ID: 130 ghana_panel_gis.dta is a panel dataset at the household member level for all villages sampled in Ghana. The "FPrimary" variable uniquely identifies each female head of household, and the member_id identifies each member within the household.

Evaluation of CARE Village Savings & Loans Associations Program in Malawi (GIS): malawi_panel_gis.dta is a panel dataset at the household member level for all villages sampled in Malawi. The "FPrimary" variable uniquely identifies each female head of household, and the member_id identifies each member within the household.

The council's budgeted non-capital expenditure for 2014/15, broken down by type of spending

The Tsar's Trans-Atlantic Voyagers dataset (TTAV) is a historical dataset describing the migration of over half a million subjects of the Russian Empire to the United States between 1834 and 1897. It allows researchers to study the frequency and scale of trans-Atlantic voyages, the movement of immigrants from the Russian Empire to an array of (mainly) European ports, and eventually to destination ports on the Eastern seaboard of the U.S. Researchers can study the demographic and occupational profiles of all immigrants. TTAV is a relational database accompanied with vector data (in other words, location data for all ports, all prominent last known residences, and with schematic itinerary descriptions of all voyage routes). TTAV Contents: Tabular data: 11 csv files Spatial data: Vector data is available in both geojson and shp format (3 files each) Data model: 1 png file Codebook: 1 csv ReadMe: 1 txt

The council's budgeted non-capital expenditure for 2014/15, broken down by type of spending

The ChinaA Datasets combine the raw geographical units and the essential county-level unit variables used for Skinner's 1990 China Regional Systems analysis. ChinaA MQ Dataset is composed of the ChinaA MQ (Merged Qu) geographic units that have been joined to tabular data compiled from the 1990 Census variables. ChinaA AVARS Dataset containst the analytical variables, based on various calculations using the raw census variables. Related Tables: Six tables (one for each of the GIS data layers) are included in this dataset. Note th at the tables contain 3,725 rows, while the GIS layers contain only 2,434 Merged Qu geographic units. The greater number of rows in the tables are due to the way in which the Merged Qu were combined from other units. In other words, the table will contain all the Qu (urban district) units for a particular city, but the Skinner analysis subsequently merged some or all of these into a single aggregate, both in terms of data values and in terms of the area to which the aggregated values relate to in geographic space. Variables: the variables published here are a later revision of the ChinaA dataset published previously (in 1995) as CITAS County-level Units 1990. Note that the variables have in some cases been RENUMBERED, so that they no longer match those found in the CITAS version, as documented here: http://citas.csde.washington.edu/data/chinaA/gswa.htm Be sure to verify the written definition for analytical variables in the Codebook, and especially the original operands, (such as a624/a602) in the Raw Variables, to make sure that you are using the correct units and rates of measure. Codebook: ChinaA_code_manual_20120615.pdf

Abstract

"msw_gps" : GPS data for households in msw_h

Documentation

Guide to datasets and more information:

Full Project Name: Community Health Workers, Subsidies and Safe Drinking Water: Experimental Evidence from Malawi

PIs: Pascaline Dupas, Zachary Wagner, Emily Wroe

Location: Neno and Mwanza Districts, Malawi

Sample: Households with at least one child under the age of 5 eligible for participation

Timeline: March 1, 2018 to present (ongoing)

Outcome of Interest: Water treatment delivery system, Community Health Workers education protocol

Intervention Type: Coupons

Section 2

Description and codebook for subset of harmonized variables:

The Revenue Codebook contains data related to the Council's budgeted non-capital expenditure for 2020/2021. The data can be filtered by spending type.

BackgroundGlobally, over 81 million people use e-cigarettes, and the majority of them are young adults. Using e-cigarettes causes different types of adverse health effects both in adults and elderly people. Over time, using e-cigarettes has detrimental consequences on lung function, brain development and numerous other illnesses.MethodsThis study employed a mixed-methods conducted between June and September 2023, comprising two phases: Geographical Information System (GIS) mapping of available e-cigarette point-of-sale (POS) locations and conducting 15 in-depth interviews (IDIs) with e-cigarette retailers, along with 5 key informant interviews (KIIs) involving tobacco control activists and policy experts. ArcGIS was employed for spatial analysis, creating distribution and type maps, and buffer and multi-buffer ring analyses were conducted to assess proximity to hospitals and academic institutions. Data analysis involved descriptive statistics for GIS mapping and qualitative analysis for interview transcripts, utilizing a priori codebook and thematic analysis.ResultsA total of 276 POS were mapped in the entire Dhaka city. About 55 POS were found within 100m distance from academic institutions in Dhaka city, which offers the easy accessibility of young generations to e-cigarettes. The younger generation is becoming the major target for e-cigarettes because of their alluring flavors, appealing looks, and variation in flavors. Sellers have been using different marketing tactics such as postering, offering discounts and using internet marketing on social media. Moreover, they try to convince the customers by saying that e-cigarettes are ‘not harmful’ or ‘less harmful’. However, retailers were mostly taking e-cigarettes from local wholesalers or distributors. Customers buy these products both from in-store and online services. Due to the absence of laws and regulations on e-cigarettes in Bangladesh, the availability, marketing, and selling of e-cigarettes are increasing alarmingly.ConclusionE-cigarette retail shops are mostly surrounded by academic institutions, and it is expanding. Besides, frequent exposure, easy accessibility, and tactful promotion encourage the younger generations to consume e-cigarettes. The government should take necessary control measures on manufacturing, storage, advertising, promotion, sponsorship, marketing, distribution, sale, import, and export in order to safeguard the health and safety of young and future generations.

Abstract

SEDRI Baseline Data

Documentation

Full project name: Stanford Economic Development Research Initiative (SEDRI) Urban Development in Africa

PIs: Girum Abebe, Daniel Agness, Pascaline Dupas, Marcel Fafchamps, Tigabu Getahun, Deivy Houeix

Project ID: 10000

Years: 2018 - present (ongoing)

More information:

Section 2

Description and codebook for subset of harmonized variables:

Section 3

Survey:

For more information on the attributes associated with collisions, please download the codebook. Collected SWITRS (Statewide Integrated Traffic Records System) Data from 2012 - 2016. Geocoded and prepared by RoadSafe GIS. All collisions on non-state highways marked in SWITRS as occurring in LA City jurisdiction.

Abstract

SEDRI baseline data from Addis Ababa, Ethiopia. This version of the dataset does not contain geolocation information (latitude/ longitude coordinates).

Documentation

Full project name: Stanford Economic Development Research Initiative (SEDRI) Urban Development in Africa

PIs: Girum Abebe, Daniel Agness, Pascaline Dupas, Marcel Fafchamps, Tigabu Getahun, Deivy Houeix

Project ID: 10000

Years: 2018 - present (ongoing)

More information:

Section 2

Description and codebook for subset of harmonized variables:

Section 3

Surveys:

This dataset consists of the US summary data behind the Climate at a Glance portal, maintained by the National Centers for Environmental Information (NCEI) at NOAA, which provides a time series of basic climate data at the climate division, state, and county levels.The data is derived from the U.S. Climate Divisional Database (nClimDiv) and provides monthly summary data from 1895 to present for the continental US, and for shorter time periods for Alaska and Hawaii. Variables include minimum, maximum, and mean temperature and precipitation for divisions, states and counties. Drought indexes and normals are also available for divisions and states, and there is an inventory of weather stations by division. The summaries were generated from a dataset known as nClimGrid, which is based on the GHCN dataset and is the foundational dataset for studying climate across larger geographic areas. Documentation files are included, and provide details on methodology as well as descriptions for interpreting file names which incorporate: name of the dataset, variable, geography, version number, and date of the most recent observation. The data are stored in fixed-width text files which can be parsed and loaded into statistical packages, scripting languages, and spreadsheets. The documentation includes a codebook that can be used for parsing the fields based on their length.GIS data in a shapefile format is also included, and depicts the boundaries of climate divisions in the continental US, Alaska, and Hawaii.

This maps shows City of Boise annexations since the original townsite was established in 1866 by the Idaho Territorial Legislature. Use the time-slider to watch the City grow over time.

The council's budgeted non-capital expenditure for 2017/18, broken down by type of spending

For more information on the attributes associated with collisions, please download the codebook.Collected SWITRS (Statewide Integrated Traffic Records System) Data from 2009 - 2013. Geocoded and prepared by RoadSafe GIS All collisions on non-state highways marked in SWITRS as occurring in LA City jurisdictionCollisions on state highways where all or a portion of the highway is a surface street:State highways 42, 213, 1, 27 (and the intersection of Ferry@Seaside and Navy@Seaside on SR 47)State highway 110 – All between postmile values 0 and .745State highway 170 – All between postmile values 9 and 10.61State highway 2– All postmile values below 14.08 (Glendale Fwy begins)Collisions at ramp intersections with local roads. In some cases it can be difficult to distinguish an intersection with a local road or another ramp segment. However, all the collisions with these ramp values are included: 1 – Ramp Exit, Last 50 Feet3 – Ramp Entry, First 50 Feet4 – Not State Highway, Ramp-related, Within 100 Feet5 – Intersection6 – Not State Highway, Intersection-related, Within 250 FeetAdditional fields in the collision data table for a standardized matching address (match_addr), primary road name (m_primaryr), secondary road name (m_secondrd). These are very useful fields for ranking by intersections. RoadSafe GIS utilizes these fields for generating rankings by various safety performance functions.Party and victim data tables that correspond to the SWITRS collision file.Note that the field names have been updated to reflect the original headers provided by CHP in addition to our several added fields. You can access their raw data template here.

For more information on the attributes associated with collisions, please download the codebook. Collected SWITRS (Statewide Integrated Traffic Records System) Data from 2012 - 2016. Geocoded and prepared by RoadSafe GIS. All collisions on non-state highways marked in SWITRS as occurring in LA City jurisdiction.

The council's budgeted non-capital expenditure for 2015/16, broken down by type of spending

The council's budgeted non-capital expenditure for 2016/17, broken down by type of spending