Processed TagTog annotations for homelessness contracts collected by the

sdcta.org-hl_contracts-1.1.1. Modified 2021-08-12T19:25:41

Resources

• annotations. Extracted and processed annotations.
• contexts. Surrounding paragraphs for the annotations, linked by ‘part’

Documentation

Processed TagTog annotations for homelessness contracts collected by the San Diego County Taxpayers Association.

Documentation Links

• Documentation Page

Contacts

• Wrangler

Eric Busboom, Civic Knowledge

Data Dictionary

annotations | contexts

annotations

contexts

References

Urls used in the creation of this data package.

Temporally calibrated DMSP-OLS NTL time series data from 1992-2013; and converted NTL time series from the VIIRS data (2014-2018) Spatial resolution: 30 arc-seconds (~1km)

figshare.com-harmonized_ntl-1.1.1. Modified 2021-07-12T20:47:57

Documentation

This dataset provides reference links to each of the annual noghtime lights images from a collection of images built from DMSP and VIIRS data, for the years 1992 to 2018.

Documentation Links

• Documentation Page
• Research paper
• Download page

Contacts

• Wrangler

Eric Busboom, Civic Knowledge

Geographic boundaries of second-level administrative regions for countries that have a lot of special economic zones.

berkeley.edu-administrative_boundaries-1.1.1. Modified 2021-07-12T20:47:26

Resources

• vietnam_political. Adminstrative boundaries of Vietnam, 2007
• china_city. City Boundaries of China, 2012
• skorea_admin2. Second-level Administrative Divisions, South Korea, 2015
• china_admin2. Second-level Administrative Divisions, China, 2015
• vietnam_admin2. Second-level Administrative Divisions, Vietnam, 2015
• turkey_admin2. Second-level Administrative Divisions, Turkey, 2015
• philippines_admin2. Second-level Administrative Divisions, Philippines, 2015
• indonesia_admin2. Second-level Administrative Divisions, Indonesia, 2015
• colombia_admin2. Second-level Administrative Divisions, Colombia, 2015

Documentation

A collection of second level administrative boundaries, by country, for a select group of countries ( the countries that have the most special exconomic zones. )

Information on special economic zones have been individually collected and researched in a study focusing on the governance of SEZ. This is just a subset (586) of the extant global SEZs, which have been estimated at 3500-4000.

worldbank.org-sez-1.1.1. Modified 2021-07-12T20:47:42

Resources

• sez. Special Economic Zones

Documentation

Documentation Links

• Documentation Page
• Dataset webpage
• Dataset viewer web application

Contacts

• Wrangler

Eric Busboom, Civic Knowledge

Data Dictionary

sez

sez

Packages

• s3 s3://library.metatab.org/worldbank.org-sez-1.1.1.csv
• csv https://library-metatab-org.s3.amazonaws.com/worldbank.org-sez-1.1.1.csv
• source https://github.com/sandiegodata-projects/chartercitiesinstitute.org-sez

Accessing Data in Vanilla Pandas

import pandas as pd


sez_df =  pd.read_csv('https://library-metatab-org.s3.amazonaws.com/worldbank.org-sez-1.1.1/data/sez.csv')

Accessing Package in Metapack

import metapack as mp
pkg = mp.open_package('https://library-metatab-org.s3.amazonaws.com/worldbank.org-sez-1.1.1.csv')

# Create Dataframes
sez_gdf = pkg.resource('sez').geoframe()

Business in San Diego linked to entertainment clusters and population density.

sandiegodata.org-business_clusters-1.1.5. Modified 2021-03-21T19:41:52

Resources

• sb_mbl. Businesses registered in San DIego, from the Master BusinessList
• sd_business_clusters. Geographic boundaries of business clusters
• sd_businesses. San Diego Businesses, geocoded
• sd_custered_businesses. San Diego Businesses, geocodes and linked to clusters.
• naics. Naics codes for San Diego businesses

Documentation

This dataset processes the City of San Diego Master Business file to add geocoded addresses and links to business clusters. San Diego publishes two lists of businesses, which are based on payment of the San Diego City business tax: the Master Business File, and a SANGIS file that includes geographic information. Unfortunatel y, these files are quite different and cannot be linked. The SANGIS file is oriented toward the tax assessors parcel that the business occupies, and the Master Business List has account numbers and addresses, but there is no common key between the files.

Datasets for the California school dashboard at https://www.caschooldashboard.org

cde.ca.gov-accountability_dashboard-2017-1.2.1. Modified 2021-03-11T00:52:26

Resources

• ela38. English Language Arts, Grades 3-8
• ela11. English Language Arts, Grade 11
• math38. Math, Grades 3-8
• math11. Math, Grade 11
• collegecareer. College / Career Indicators
• susprate. Suspension Rate
• elaprog. English Language Arts Progress Indicators
• gradrate.

Documentation

Documentation Links

• California Accountability Model & School Dashboard Program page for the dashboard, datasets and reports.
• California School Dashboard The California School Dashboard website.
• Documentation Page

Contacts

• Origin

California Department of Education

These research files contain results from the Physical Fitness Test (PFT) program. Each file contains the same information presented in the Reports section of this site and is provided to allow for more complex analyses and customized reporting of the data. The data files, including file layout, entities, and subgroup files, are comma-delimited text files provided in a zip format.

cde.ca.gov-fitnessgram-1999e-ca-1.3.1. Modified 2021-03-11T00:48:56

Resources

• entities99. 1999 PFT Entities
• entities01. 2001 PFT Entities
• entities02. 2002 PFT Entities
• entities03. 2003 PFT Entities
• entities04. 2004 PFT Entities
• entities05. 2005 PFT Entities
• entities06. 2006 PFT Entities
• entities07. 2007 PFT Entities
• entities08. 2008 PFT Entities
• entities09. 2009 PFT Entities
• entities10. 2010 PFT Entities
• entities11. 2011 PFT Entities
• entities12. 2011-12 Physical Fitness Entities
• entities13. 2012-13 Physical Fitness Entities
• entities14. 2013-14 Physical Fitness Entities
• entities15. 2014-15 Physical Fitness Entities
• entities16. 2015-16 Physical Fitness Entities
• physfit99. 1999 PFT Fitness Results
• physfit01. 2001 PFT Fitness Results
• physfit02. 2002 PFT Fitness Results
• physfit03. 2003 PFT Fitness Results
• physfit04. 2004 PFT Fitness Results
• physfit05. 2005 PFT Fitness Results
• physfit06. 2006 PFT Fitness Results
• physfit07. 2007 PFT Fitness Results
• physfit08. 2008 PFT Fitness Results
• physfit09. 2009 PFT Fitness Results
• physfit10. 2010 PFT Fitness Results
• physfit11. 2011 PFT Fitness Results
• physfit12. 2011-12 Physical Fitness Research
• physfit13. 2012-13 Physical Fitness Research
• physfit14. 2013-14 Physical Fitness Research
• physfit15. 2014-15 Physical Fitness Research
• physfit16. 2015-16 Physical Fitness Research
• subgroup99. 1999 PFT Subgroup
• subgroup01. 2001 PFT Subgroup
• subgroup02. 2002 PFT Subgroup
• subgroup03. 2003 PFT Subgroup
• subgroup04. 2004 PFT Subgroup
• subgroup05. 2005 PFT Subgroup
• subgroup06. 2006 PFT Subgroup
• subgroup07. 2007 PFT Subgroup
• subgroup08. 2008 PFT Subgroup
• subgroup09. 2009 PFT Subgroup
• subgroup10. 2010 PFT Subgroup
• subgroup11. 2011 PFT Subgroup
• subgroup12. 2011-12 Physical Fitness Subgroups
• subgroup13. 2012-13 Physical Fitness Subgroups
• subgroup14. 2013-14 Physical Fitness Subgroups
• subgroup15. 2014-15 Physical Fitness Subgroups
• subgroup16. 2015-16 Physical Fitness Subgroups

Documentation

Documentation Links

• Physical Fitness Testing (PFT) Home page for the PFT program
• PFT Statewide Research Files Download page with links to research file archives
• Additional Resources Additional resources for the Physical Fitness Test, including links to the Cooper Institute, San Joaquin County Office of Education, and Human Kinetics.
• File Layout 2001 Text form data dictionary, including common code values
• File Layout 2002 Text form data dictionary, including common code values
• File Layout 2003 Text form data dictionary, including common code values
• File Layout 2004 Text form data dictionary, including common code values
• File Layout 2005 Text form data dictionary, including common code values
• File Layout 2006 Text form data dictionary, including common code values
• File Layout 2007 Text form data dictionary, including common code values
• File Layout 2008 Text form data dictionary, including common code values
• File Layout 2009 Text form data dictionary, including common code values
• File Layout 2010 Text form data dictionary, including common code values
• File Layout 2011 Text form data dictionary, including common code values
• File Layout 2012 Text form data dictionary, including common code values
• File Layout 2013 Text form data dictionary, including common code values
• File Layout 2014 Text form data dictionary, including common code values
• File Layout 2015 Text form data dictionary, including common code values
• File Layout 2016 Text form data dictionary, including common code values
• File Layout 1999 Text form data dictionary, including common code values
• Documentation Page

Contacts

• Creator

High School and Physical Fitness Assessment Office, California Department of Education

A list of Starbucks locations, scraped from the web in 2017

chrismeller.github.com-starbucks-2.1.1. Modified 2021-04-02T14:52:09

Resources

• all_starbucks. List of Starbucks locations.
• us_starbucks. Geo file of starbucks in the US

Documentation

Starbucks locations scraped from the Starbucks website by Chris Meller. From the original README:

Contains a single commit for each day that batches up all changes to the
Starbucks dataset as a CSV file.

Deletes will obviously be stores that seem to have closed and adds are new
stores that have opened.

This is a work in progress. There is additional data that needs to be
included in this dataset and it needs to get properly automated so we hav e
a regular commit daily at a particular time.

This dataset release re-geocodes all of the addresses, for the us_starbucks dataset. The original datafile has lat and lon values truncated to 2 decimal places, about 1km in North America. The re-geocoded addressss are much more precise.

SIPP collects data and measures change for many topics including: economic well- being, family dynamics, education, assets, health insurance, childcare, and food security.

census.gov-sipp-1.1.1. Modified 2020-12-28T19:45:33

Documentation

SIPP is the premier source of information for income and program participation. SIPP collects data and measures change for many topics including: economic well-being, family dynamics, education, assets, health insurance, childcare, and food security.

Theis data package collects links to the SIP website and main data files. It does not include any data.

Records of alcohol licenses in california, from the CA ABC daily file, with improvements to geographic identifiers, and acompilation of areal densities of on-sale and off-sale licenses in San Diego county.

abc.ca.gov-licenses-2.1.2. Modified 2020-11-27T23:20:08

Resources

• ca_abc_licenses. California Alcohol Beverage Control Licenses
• sd_abc_density. Areal density of on-sale and off-sale licenses in San Diego county

Documentation

This package is a conversion of the California Daily ABC file, so it is current as of the modification date of the package. The main change is the addition of the county variable, the FIPS code for the county, and the tract, the ACS format geoid version of the tract identifier.