packages.json

[
  {
    "user": "datasets",
    "repo": "covid-19",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 1108,
    "title": "Novel Coronavirus 2019",
    "description": null
  },
  {
    "user": "datasets",
    "repo": "country-codes",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 672,
    "title": "Comprehensive country codes: ISO 3166, ITU, ISO 4217 currency codes and many more",
    "description": null
  },
  {
    "user": "turicas",
    "repo": "covid19-br",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 533,
    "title": "Daily time series on COVID-19 in Brazil",
    "description": "Data on the evolution of the COVID-19 disease in Brazil, processed from each state Health Secretariat's COVID-19 daily reports."
  },
  {
    "user": "datasets",
    "repo": "s-and-p-500-companies",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 334,
    "title": "S&P 500 Companies with Financial Information",
    "description": null
  },
  {
    "user": "datasets",
    "repo": "geo-countries",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 331,
    "title": "Country Polygons as GeoJSON",
    "description": "geodata data package providing geojson polygons for all the world's countries"
  },
  {
    "user": "datasets",
    "repo": "s-and-p-500",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 260,
    "title": "Standard and Poor's (S&P) 500 Index Data including Dividend, Earnings and P/E Ratio",
    "description": null
  },
  {
    "user": "datasets",
    "repo": "airport-codes",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 242,
    "title": "Airport Codes",
    "description": null
  },
  {
    "user": "datasets",
    "repo": "world-cities",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 167,
    "title": "Major cities of the world",
    "description": "List of the world's major cities (above 15,000 inhabitants)"
  },
  {
    "user": "datasets",
    "repo": "country-list",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 126,
    "title": "List of all countries with their 2 digit codes (ISO 3166-1)",
    "description": null
  },
  {
    "user": "openreferral",
    "repo": "specification",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 110,
    "title": "Human Services Data Specification",
    "description": "HSDS describes data about organizations, the services they provide, the locations at which these services can be accessed, and associated details."
  },
  {
    "user": "datasets",
    "repo": "currency-codes",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 99,
    "title": "ISO 4217 Currency Codes",
    "description": null
  },
  {
    "user": "datasets",
    "repo": "un-locode",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 97,
    "title": "UN-LOCODE Codelist",
    "description": null
  },
  {
    "user": "datasets",
    "repo": "population",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 84,
    "title": "Population figures for countries, regions (e.g. Asia) and the world",
    "description": "Population figures for countries, regions (e.g. Asia) and the world. Data comes originally from World Bank and has been converted into standard CSV."
  },
  {
    "user": "cmoa",
    "repo": "collection",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 83,
    "title": "Collection of the Carnegie Museum of Art & the Teenie Harris Archive.",
    "description": "Carnegie Museum of Art is making public the collections records of all of its accessioned artworks. This release contains data on approximately 27365 objects across all departments of the museum; fine arts, decorative arts, photography, contemporary art, and the Heinz Architectural Center.  Additionally, the metadata for the Teenie Harris Archive has been included. For ease of use, they are contained within their own files, but it includes approximately 58753 records using the same structure and format."
  },
  {
    "user": "garfieldnate",
    "repo": "kengdic",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 73,
    "title": "Kengdic",
    "description": "Korean-English dictionary"
  },
  {
    "user": "datasets",
    "repo": "language-codes",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 69,
    "title": "ISO Language Codes (639-1 and 693-2) and IETF Language Types",
    "description": null
  },
  {
    "user": "centraldedados",
    "repo": "codigos_postais",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 66,
    "title": "Códigos postais",
    "description": "Códigos postais e as áreas que lhes correspondem"
  },
  {
    "user": "datasets",
    "repo": "gdp",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 62,
    "title": "Country, Regional and World GDP (Gross Domestic Product)",
    "description": "Country, regional and world GDP in current US Dollars ($). Regional means collections of countries e.g. Europe & Central Asia. Data is sourced from the World Bank and turned into a standard normalized CSV."
  },
  {
    "user": "okfn",
    "repo": "licenses",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 62,
    "title": "Licenses",
    "description": "a list of licenses."
  },
  {
    "user": "datasets",
    "repo": "oil-prices",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 54,
    "title": "Brent and WTI Spot Prices",
    "description": null
  },
  {
    "user": "jwyg",
    "repo": "data-journalism-courses",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 51,
    "title": "Data Journalism Courses",
    "description": "List of data journalism courses and programmes from universities and higher education institutions around the world."
  },
  {
    "user": "okfn",
    "repo": "publicbodies",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 49,
    "title": "Database of Public Bodies (Government Entities)",
    "description": null
  },
  {
    "user": "mattcg",
    "repo": "language-subtag-registry",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 48,
    "title": "BCP 47/IANA language subtag data",
    "description": "Full BCP 47 language subtag data from the official IANA repository, in JSON format with multiple indices."
  },
  {
    "user": "openclimatedata",
    "repo": "global-carbon-budget",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 48,
    "title": "Global Carbon Budget",
    "description": "Global carbon cycle and emissions data, including fossil-fuel, cement, and land-use change emissions, atmospheric growth, and ocean and land sinks"
  },
  {
    "user": "datasets",
    "repo": "s-and-p-500-companies-financials",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 44,
    "title": "S&P 500 Companies with Financial Information",
    "description": null
  },
  {
    "user": "inigoflores",
    "repo": "ds-codigos-postales-ine-es",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 44,
    "title": "Dataset de Códigos Postales (Callejero INE)",
    "description": null
  },
  {
    "user": "inigoflores",
    "repo": "ds-codigos-postales",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 39,
    "title": "Dataset de Códigos Postales",
    "description": "Geometrías de todos los códigos postales de España, incluyendo los códigos INE de los municipios asociados"
  },
  {
    "user": "datasets",
    "repo": "finance-vix",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 37,
    "title": "VIX - CBOE Volatility Index",
    "description": null
  },
  {
    "user": "seattleio",
    "repo": "seattle-boundaries-data",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 37,
    "title": "seattle-boundaries-data",
    "description": "GeoJSON for various boundaries within Seattle"
  },
  {
    "user": "jrnold",
    "repo": "CDB90",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 37,
    "title": "CDB90 Battle Dataset",
    "description": "A database of over 600 battles that were fought between 1600AD and 1973AD. Descriptive data include battle name, date, and location; the strengths and losses on each side; identification of the victor; temporal duration of the battle; and selected environmental and tactical environment descriptors (such as type of fortifications, type of tactical scheme, weather conditions, width of front, etc.)This dataset is a revised, cleaned, expanded and packaged version of Helmbold's CDB90 data. However, it does not add any new battles to the data."
  },
  {
    "user": "datasets",
    "repo": "geoip2-ipv4",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 35,
    "title": "IPv4 geolocation",
    "description": null
  },
  {
    "user": "datasets-br",
    "repo": "city-codes",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 34,
    "title": "Municipalities of Brazil and IBGE codes",
    "description": "Brazilian city names, official codes (IBGE), and abbreviations throughout the country's history"
  },
  {
    "user": "robbi5",
    "repo": "german-gov-domains",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 33,
    "title": "German Government Domains",
    "description": "An unofficial and incomplete list of German Government Domains"
  },
  {
    "user": "yetzt",
    "repo": "postleitzahlen",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 31,
    "title": "Postleitzahlen Deutschland",
    "description": "german postcode areas 2020"
  },
  {
    "user": "datasets",
    "repo": "nasdaq-listings",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 30,
    "title": "Nasdaq Listings",
    "description": null
  },
  {
    "user": "datasets",
    "repo": "gold-prices",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 30,
    "title": "Gold Prices",
    "description": null
  },
  {
    "user": "datopian",
    "repo": "datahub-qa",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 29,
    "title": "datahub-qa",
    "description": null
  },
  {
    "user": "datasets",
    "repo": "imf-weo",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 29,
    "title": "IMF World Economic Outlook Database",
    "description": null
  },
  {
    "user": "datasets-br",
    "repo": "prenomes",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 28,
    "title": "Prenomes de habitantes do Brasil",
    "description": null
  },
  {
    "user": "cihai",
    "repo": "unihan-etl",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 28,
    "title": "Unicode Han Database (Unihan)",
    "description": null
  },
  {
    "user": "datasets",
    "repo": "media-types",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 24,
    "title": "Media Types",
    "description": "List of Media Types, Media Subtypes, and their extensions."
  },
  {
    "user": "datasets",
    "repo": "top-level-domain-names",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 21,
    "title": "Top Level Domain Names",
    "description": "This Data Package contains the delegation details of top-level domains"
  },
  {
    "user": "warrantgroup",
    "repo": "IMO-Vessel-Codes",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 21,
    "title": "IMO Vessel Codes",
    "description": "List of IMO coded vessels, vessel type, flag code and vessel names"
  },
  {
    "user": "opentrials",
    "repo": "registers",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 21,
    "title": "Public and Private registers for OpenTrials",
    "description": "This is Data Package with information on public and private registers of clinical trials"
  },
  {
    "user": "ramikay",
    "repo": "lebanon-traffic-dataset",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 21,
    "title": "Lebanon Traffic Dataset",
    "description": "Road traffic data for Lebanon collected between 2014 and 2019."
  },
  {
    "user": "ramikay",
    "repo": "lebanon-traffic-dataset",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 21,
    "title": "Lebanon Traffic Dataset",
    "description": "Road traffic data for Lebanon collected between 2014 and 2019."
  },
  {
    "user": "datasets",
    "repo": "ISO-Container-Codes",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 20,
    "title": "ISO 6346 Container Type Codes",
    "description": "List of ISO 6346 Container Type Codes"
  },
  {
    "user": "datasets-br",
    "repo": "state-codes",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 19,
    "title": "Federation units of Brazil and ISO3166:BR",
    "description": "Brazilian states 2-letter codes (ISO 3166-2:BR), official 'Unidades da Federação' abbreviations throughout the country's history"
  },
  {
    "user": "Stephen-Gates",
    "repo": "GTFS",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 19,
    "title": "GTFS South East Queensland",
    "description": "Timetable data and stop locations for all available TransLink South East Queensland urban bus, rail and ferry services."
  },
  {
    "user": "datasets",
    "repo": "continent-codes",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 18,
    "title": "List of continent codes",
    "description": null
  },
  {
    "user": "datasets",
    "repo": "population-city",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 18,
    "title": "City Population Annual Timeseries (UN Statistics Division)",
    "description": "City population yearly timeseries for female and male, and for both sexes, collected by the United Nations Statistics Division and published by UNData in 22 Dec 2014 Next update in UNdata: Jun 2015 (est.)Periodicity: biannual. Contains two datasets in CSV format:\tunsd-citypopulation-year-both.csv\t\tSize: 2.4 MB\tunsd-citypopulation-year-fm.csv\t\tFile size: 3.7 MB Final 222 lines in both datasets contain original notes."
  },
  {
    "user": "datasets",
    "repo": "house-prices-us",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 18,
    "title": "US House Price Index (Case-Shiller)",
    "description": null
  },
  {
    "user": "schoolofdata-ch",
    "repo": "swiss-hospital-data",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 18,
    "title": "Swiss Hospital Data",
    "description": null
  },
  {
    "user": "theodi",
    "repo": "csv-validation-research",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 18,
    "title": null,
    "description": null
  },
  {
    "user": "datasets",
    "repo": "geo-boundaries-world-110m",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 17,
    "title": "Country Polygons as GeoJSON at 1:110m",
    "description": "geodata data package providing geojson polygons for all the world's countries"
  },
  {
    "user": "datasets",
    "repo": "sea-level-rise",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 17,
    "title": "Global Average Absolute Sea Level Change, 1880-2014",
    "description": "This data contains cumulative changes in sea level for the world’s oceans since 1880, based on a combination of long-term tide gauge measurements and recent satellite measurements."
  },
  {
    "user": "datasets",
    "repo": "browser-stats",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 17,
    "title": "Web Browser Usage Statistics",
    "description": null
  },
  {
    "user": "datasets",
    "repo": "nyse-other-listings",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 16,
    "title": "NYSE and Other Listings",
    "description": null
  },
  {
    "user": "datasets",
    "repo": "global-temp",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 16,
    "title": "Global Temperature Time Series",
    "description": null
  },
  {
    "user": "centraldedados",
    "repo": "nomes_proprios",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 16,
    "title": "Nomes próprios em Portugal",
    "description": "Listas de ocorrências de nomes próprios, e de nomes próprios aprovados ou rejeitados pelo IRN"
  },
  {
    "user": "datasets",
    "repo": "ppp",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 15,
    "title": "Purchasing power parity (PPP)",
    "description": "Data are sourced from the World Bank, International Comparison Program database. One dataset is provided: PPP conversion factor, GDP (LCU per international $)."
  },
  {
    "user": "frictionlessdata",
    "repo": "example-continuous-data-integration",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 14,
    "title": null,
    "description": null
  },
  {
    "user": "datasets",
    "repo": "inflation",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 14,
    "title": "Annual inflation by GDP deflator and consumer prices",
    "description": null
  },
  {
    "user": "investigacion",
    "repo": "divisiones-territoriales-data",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 14,
    "title": "Divisiones territoriales de Costa Rica",
    "description": "Divisiones territoriales de Costa Rica: provincias, cantones y distritos. (Territorial divisions of Costa Rica.)"
  },
  {
    "user": "datasets",
    "repo": "natural-gas",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 14,
    "title": "Natural gas prices",
    "description": null
  },
  {
    "user": "datasets",
    "repo": "commodity-prices",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 14,
    "title": "Commodity prices",
    "description": null
  },
  {
    "user": "n0rdlicht",
    "repo": "rki-vaccination-scraper",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 14,
    "title": "COVID-19 Vaccination Rates in Germany",
    "description": null
  },
  {
    "user": "datasets",
    "repo": "co2-ppm",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 13,
    "title": "CO2 PPM - Trends in Atmospheric Carbon Dioxide",
    "description": "Data are sourced from the US Government's Earth System Research Laboratory, Global Monitoring Division. Two main series are provided: the Mauna Loa series (which has the longest continuous series since 1958) and a Global Average series (a global average over marine surface sites)."
  },
  {
    "user": "johnlsheridan",
    "repo": "occupations",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 13,
    "title": "List of occupations",
    "description": null
  },
  {
    "user": "centraldedados",
    "repo": "protecao_civil",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 13,
    "title": "Ocorrências da Proteção Civil",
    "description": "Ocorrências registadas pela Autoridade Nacional de Proteção Civil (2016-2018)"
  },
  {
    "user": "datasets",
    "repo": "corruption-perceptions-index",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 13,
    "title": "Corruption Perceptions Index",
    "description": null
  },
  {
    "user": "foodopendata",
    "repo": "food-datasets",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 13,
    "title": "A list of datasets related to Food",
    "description": null
  },
  {
    "user": "datasets",
    "repo": "bond-yields-us-10y",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 13,
    "title": "10 year US Government Bond Yields (long-term interest rate)",
    "description": null
  },
  {
    "user": "datasets",
    "repo": "cpi",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 12,
    "title": "Annual Consumer Price Index (CPI)",
    "description": "Annual Consumer Price Index (CPI) for most countries in the world. Reference year is 2005."
  },
  {
    "user": "datasets",
    "repo": "cpi",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 12,
    "title": "Annual Consumer Price Index (CPI)",
    "description": "Annual Consumer Price Index (CPI) for most countries in the world. Reference year is 2005."
  },
  {
    "user": "datasets-br",
    "repo": "unitex-pt-br",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 11,
    "title": "Brazilian portuguese in Unitex tabular representations",
    "description": "UnitexGramLab sources of pt-BR dictionary adapted to Frictionlessdata.io standards for interoperability."
  },
  {
    "user": "openclimatedata",
    "repo": "paris-agreement-entry-into-force",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 11,
    "title": "Entry Into Force of the Paris Climate Agreement",
    "description": "Combined dataset of signature, ratification, acceptance, or approval status of the Paris Climate Agreement, and the emissions shares used for entry into force."
  },
  {
    "user": "jrnold",
    "repo": "civil_war_era_findata",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 11,
    "title": "Civil War (US) Era Financial Market Data",
    "description": "Miscellaneous financial and economic data from the during the U.S. Civil War This is by no means a complete collection of available data, but consists of some datasets that I found or collected for my own research."
  },
  {
    "user": "medialab",
    "repo": "ricardo_data",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 11,
    "title": "RICardo, Research on International Commerce: trade between Nations from c. 1800 to 1938",
    "description": "RICardo (Research on International Commerce) is a project dedicated to trade between nations over a period spanning the beginning of the Industrial Revolution to the eve of the Second World War. It combines a historical trade database covering all of the world’s countries and a website which invites to an exploration of the history of international trade through data visualizations."
  },
  {
    "user": "datasets",
    "repo": "world-religion-projections",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 10,
    "title": "World Religion Projections ",
    "description": "This dataset contains the estimated religious composition of 198 countries and territories for 2010"
  },
  {
    "user": "datasets",
    "repo": "cpi-us",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 10,
    "title": "US Consumer Price Index and Inflation (CPI)",
    "description": null
  },
  {
    "user": "datasets",
    "repo": "breast-cancer",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 10,
    "title": "Breast cancer",
    "description": null
  },
  {
    "user": "DemocracyClub",
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    "path": "datapackage.json",
    "stars": 0,
    "title": "Remuneração",
    "description": "Remuneração dos Servidores do Poder Executivo"
  },
  {
    "user": "fjuniorr",
    "repo": "remuneracao-fjuniorr",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Remuneração",
    "description": "Remuneração dos Servidores do Poder Executivo"
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "government-addresses",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Government Addresses",
    "description": "Government Addresses contains contact information for the municipalities in Connecticut."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "census-annual-population-estimates-by-county",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Census Annual Population Estimates by County",
    "description": "Census Annual Population Estimates by County presents the 1-year population estimates per county, for a given year."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "regional-planning-areas",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Regional Planning Areas",
    "description": "Regional Planning Areas lists the 169 municipalities in Connecticut and their corresponding Regional Council of Governments Planning Area."
  },
  {
    "user": "semio",
    "repo": "ddf--ilo--kilm_labour_prod",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": null,
    "description": null
  },
  {
    "user": "musthofasyarifudin",
    "repo": "vehicle-prediction",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Car fuel consumptions and emissions 2000-2013",
    "description": "Cleaned-up and consolidated car fuel consumption and emissions data for years2000 to 2013. Data is published by the  Vehicle Certification Agency (VCA), an Executive Agency of the United Kingdom Department for Transport. Data is available to download at  http://carfueldata.direct.gov.uk/downloads/default.aspx . It is assumed that the data is released under the  UK Open Government License . For more details about the data, please check the information booklet http://carfueldata.direct.gov.uk/additional/aug2013/VCA-Booklet-text-Aug-2013.pdf . Data Cleaning The original data is published in separate CSV file starting from 2000, butthe format is not consistent across years. Data has been consolidated formachine using  OpenRefine . The script with the tasksperformed on the 2013 CSV files is included in the  scripts  folder. Someexample operations performed include: Consolidate different field names across different years Consolidate measure units for emissions data across different years Set proper field types to allow indexing and analysis (eg numeric fields) Normalize manufacturer and model descriptions Trim excess whitespace Fix encoding for special characters etc Note that the resulting dataset does not include all fields in the originaldata, only those deemed more relevant."
  },
  {
    "user": "inigoflores",
    "repo": "ds-revision-catastral-es",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Listado de municipios y su año de revision catastral",
    "description": null
  },
  {
    "user": "AYCHErp",
    "repo": "Housepricesglobal",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Residential property price statistics from different countries",
    "description": "Contain data for 59 countries at a quarterly frequency (real series are the nominal price series deflated by the consumer price index), both in levels and in growth rates (ie four series per country). These indicators have been selected from the detailed data set to facilitate access for users and enhance comparability. The BIS has made the selection based on the Handbook on Residential Property Prices and the experience and metadata of central banks. An analysis based on these selected indicators is also released on a quarterly basis, with a particular focus on longer-term developments in the May release."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "business-formations-by-county",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Business Formations by County",
    "description": "Business Formations by County reports the total number of businesses formations by county as reported by the Secretary of the State, CONCORD Business Inquiry database."
  },
  {
    "user": "Jude-X",
    "repo": "Wrangling",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Europe Road Safety Dataset",
    "description": "This dataset contains European Union Road Safety Facts and Figures from wikipedia"
  },
  {
    "user": "pezholio",
    "repo": "schema-test",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Schema Test",
    "description": "sdfdsf"
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "utilities",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Utilities",
    "description": "Utilities reports utility providers by municipalities."
  },
  {
    "user": "OpendataCH",
    "repo": "hackopendata-archive",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "hack.opendata.ch project archive",
    "description": "Swiss open data hackathon project archive"
  },
  {
    "user": "d-vf",
    "repo": "raw-companies-house-records",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "RAW - Companies House Records",
    "description": "Registos alterações de Capital (registo, entidade públicas), nomeadamente Portal das Publicações (Ministério da Justiça).Link:https://publicacoes.mj.pt/Pesquisa.aspxPasta com doc originais: https://drive.google.com/open?id=0B7zs3-L1xKbidnpvVVBwSEQxdzAversão zipada (456,7 MB): tbu1214 docs (pdf): 554,7 MB on disk):"
  },
  {
    "user": "os-data",
    "repo": "nuernberg",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Nuernberg",
    "description": null
  },
  {
    "user": "foodopendata",
    "repo": "foodstats-basel",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Canton of Basel City open government data related to Food",
    "description": null
  },
  {
    "user": "os-data",
    "repo": "frankfurt-new",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "frankfurt-new",
    "description": null
  },
  {
    "user": "JanUrb",
    "repo": "weather-script",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Weather data",
    "description": "Script for the download of MERRA-2 weather data"
  },
  {
    "user": "os-data",
    "repo": "toiminnan-kulut",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Toiminnan kulut",
    "description": "Finnish Government Expenditure 2002-2015Source: http://netra.fi/avoin%20data/"
  },
  {
    "user": "os-data",
    "repo": "gilching",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Gilching",
    "description": null
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "demolitions",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Demolitions",
    "description": "Demolitions reports the number of housing units demolished in a given location."
  },
  {
    "user": "medialab",
    "repo": "climateDebateExplorer",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Climate Negotiations Browser data",
    "description": "http://www.climatenegotiations.org/"
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "student-enrollment",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Student Enrollment",
    "description": "Student Enrollment reports the number of enrolled students, per grade."
  },
  {
    "user": "Chithra1996",
    "repo": "etl_project",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Bachelorette",
    "description": "Bachelorette / Bachelor This folder contains the data behind the stories: [How To Spot A F"
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "median-home-value-by-county",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Median Home Value by County",
    "description": "Median Home Value by County reports the median value of all owner occupied housing units."
  },
  {
    "user": "dados-mg",
    "repo": "vacinometro-covid-19",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Vacinômetro COVID-19",
    "description": "Contém informações sobre aplicação das doses da vacina contra o novo coronavírus."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "business-formations-by-town",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Business Formations by Town",
    "description": "Business Formations by Town reports the total number of businesses formations by town as reported by the Secretary of the State, CONCORD Business Inquiry database."
  },
  {
    "user": "ondata",
    "repo": "anaslavoriincorso",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "ANAS Lavori in corso",
    "description": "L'ANAS pubblica sul suo sito la pagina “ Info Cantieri ” per conoscere i lavori in corso per la costruzione di nuove opere e per la manutenzione straordinaria. Lo stato dei lavori viene aggiornato a cadenze regolari. Le informazioni e le date riportate riguardano gli “Stati di Avanzamento Lavori” comunicati dalle imprese e gli impegni contrattuali previsti per la conclusione delle opere. I dati sono consultabili da interfaccia web, ma scegliendo prima la regione e poi le singole strade; estrarne un quadro con i dettagli per tutte le strade gestite è laborioso e richiede tempo. E non è disponibile per il download un file di insieme."
  },
  {
    "user": "semio",
    "repo": "ddf--ilo--kilm_employment_sector",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": null,
    "description": null
  },
  {
    "user": "joao",
    "repo": "turismo-registo_nacional",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Turismo Registo Nacional",
    "description": "Empreendimentos e empresas de turismo em operação"
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "subsidized-housing",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Subsidized Housing",
    "description": "Subsidized Housing reports the number of housing units receiving assistance."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "health-insurance-coverage",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Health Insurance Coverage",
    "description": "Health Insurance Coverage reports the prevalance of Health Insurance coverage disaggregated by age group."
  },
  {
    "user": "os-data",
    "repo": "wesel",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Wesel",
    "description": "Haushalt der Stadt Wesel"
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "total-households-by-county",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Total Households by County",
    "description": "Total Households by County reports a total count of households for a given county and year."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "single-housing-units",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Single Housing Units",
    "description": "Single Housing Units reports the number and percent of housing units that are single, detached units."
  },
  {
    "user": "os-data",
    "repo": "jena",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Jena",
    "description": null
  },
  {
    "user": "zma9216",
    "repo": "SQLite_Indexing_Assignment",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "List of all countries with their 2 digit codes (ISO 3166-1)",
    "description": null
  },
  {
    "user": "os-data",
    "repo": "bundeshaushalt",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Bundeshaushalt",
    "description": "Bundeshaushalt"
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "dph-annual-population-estimates-by-town",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "DPH Annual Population Estimates by Town",
    "description": "DPH Annual Population Estimates by Town reports population by Town, as estimated by the Connecticut Department of Public Health."
  },
  {
    "user": "os-data",
    "repo": "bonn",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Bonn",
    "description": "Bonn"
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "median-home-value-by-town",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Median Home Value by Town",
    "description": "Median Home Value by Town reports the median value of all owner occupied housing units."
  },
  {
    "user": "semio",
    "repo": "ddf--ilo--kilm_wage_compensation",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": null,
    "description": null
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "suicide",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Suicide",
    "description": "Suicide reports the number, crude rate, and age-adjusted mortality rate (AAMR) of suicide."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "annual-housing-permits-by-county",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Annual Housing Permits by County",
    "description": "Annual Housing Permits by County reports the number of residential permits issued annually for new residential structures."
  },
  {
    "user": "ppKrauss",
    "repo": "openCoherence2",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Open Coherence Project, draft1",
    "description": null
  },
  {
    "user": "semio",
    "repo": "ddf--ilo--global_wage",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": null,
    "description": null
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "english-proficiency-by-age",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "English Proficiency by Age",
    "description": "English Proficiency by Age reports demographic details regarding how many people speak English natively, and the proficiency of non-native speakers."
  },
  {
    "user": "inigoflores",
    "repo": "ds-municipios-catastro-es",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Listado de Municipios según el Catastro de España",
    "description": null
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "major-employers",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Major Employers",
    "description": "Major Employers reports the top five employers by town. Rank is based on the number of employees."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "major-employers",
    "branch": "master",
    "path": "datapackage_2018.json",
    "stars": 0,
    "title": "Major Employers",
    "description": "Major Employers reports the top five employers by town. Rank is based on the number of employees."
  },
  {
    "user": "loleg",
    "repo": "entsorgungsdaten-ch",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Entsorgungsstellen in der Schweiz",
    "description": "Locations of waste collection and recycling stations in Switzerland"
  },
  {
    "user": "fsadata",
    "repo": "chemical-contaminant-results-for-england-and-wales",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Chemical contaminant results for England and Wales",
    "description": "Official control monitoring data for chemical contaminants found in shellfish."
  },
  {
    "user": "os-data",
    "repo": "ukraine-transactions-sep-11-2015-sep-15-2015",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Ukraine transactions Sep 11, 2015 - Sep 15, 2015",
    "description": null
  },
  {
    "user": "os-data",
    "repo": "moers-all",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Moers All",
    "description": "Moers all"
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "housing-units-pre-1950",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Housing Units Built Before 1950",
    "description": "Housing Units Built Before 1950 reports the number of housing units built before 1950 in each location."
  },
  {
    "user": "iwlearn",
    "repo": "project-data",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "GEF IW Projects",
    "description": null
  },
  {
    "user": "paulolimac",
    "repo": "datapackage-examplified",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Title of Datapackage",
    "description": "It is a example package description to write any foo information :)"
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "social-security-status",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Social Security Status",
    "description": "Social Security Status reports the number and percentage of households with and without Social Security Income (SSI), as well as the margin of error for this estimation."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "foreclosures",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Foreclosures",
    "description": "Foreclosures reports the number of pending filings and foreclosures."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "student-enrollment-by-grade",
    "branch": "master",
    "path": "datapackage-2018.json",
    "stars": 0,
    "title": "Student Enrollment by Grade",
    "description": "Student Enrollment reports the number of enrolled students per year, per grade."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "student-enrollment-by-grade",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Student Enrollment by Grade",
    "description": "Student Enrollment reports the number of enrolled students per year, per grade."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "suspension-rates-by-all-students",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Suspension-Rates-by-All-Students",
    "description": "Suspension Rate reports the percentage of students who have received at least one sanction (ISS, OSS, EXP) during a school year, for all students."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "public-vs-private-enrollment-by-county",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Public vs Private Enrollment by County",
    "description": "Public vs Private Enrollment by County reports the number and proportion of students enrolled in public or private schools."
  },
  {
    "user": "fsadata",
    "repo": "scheduled-dairy-visits",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Scheduled Dairy Visits",
    "description": "A list of the scheduled dairy inspection visits of premises registered with the Food Standards Agency"
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "fetal-and-infant-mortality-1-year-aggregations-by-town",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Fetal and Infant Mortality - 1-Year Aggregations by Town",
    "description": "Fetal and Infant Mortality - 1-Year Aggregations by Town reports the number and rate of fetal, neonatal, natal, and infant deaths."
  },
  {
    "user": "os-data",
    "repo": "frankfurt-am-main",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Frankfurt am Main",
    "description": "Haushalt von Frankfurt am Main, Plan 2017"
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "median-rent-by-county",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Median Rent by County",
    "description": "Median Rent by County reports the median rent of all occupied units paying rent."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "moodys-rating",
    "branch": "master",
    "path": "datapackage-2016.json",
    "stars": 0,
    "title": "Moodys Ratings",
    "description": "Moody's Ratings reports the rating of creditworthiness provided by Moody's Corporation."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "educational-attainment",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Educational Attainment",
    "description": "Educational Attainment reports the level of education of individuals over the age of 25, disaggregated by gender."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "suspension-rates-by-gender",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Suspension Rates by Gender",
    "description": "Suspension Rate reports the percentage of students who have received at least one sanction (ISS, OSS, EXP) during a school year, per gender."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "dui-crashes",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "DUI Crashes",
    "description": "Driving Under the Influence (DUI) Crashes reports the number of recorded DUI crashes, fatalities, and injuries per town, for a given year."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "subsidized-housing-by-type",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Subsidized Housing by Type",
    "description": "Subsidized Housing by Type reports the number of housing units receiving assistance by Type."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "annual-housing-permits-by-town",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Annual Housing Permits by Town",
    "description": "Annual Housing Permits by Town reports the number of residential permits issued annually for new residential structures."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "total-housing-units-by-town",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Total Housing Units by Town",
    "description": "Total Housing Units by Town reports the estimated total number of housing units disaggregated by occupancy status."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "student-enrollment-by-all-students",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Student Enrollment by All Students",
    "description": "Student Enrollment reports the number of enrolled students per year, for all students."
  },
  {
    "user": "os-data",
    "repo": "schleswig-holstein",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Schleswig-Holstein",
    "description": "Landeshaushalt Schleswig Holstein"
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "suspension-rates-by-grade",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Suspension Rates by Grade",
    "description": "Suspension Rate reports the percentage of students who have received at least one sanction (ISS, OSS, EXP) during a school year, per grade."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "student-enrollment-by-ELL",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Student Enrollment by English Language Learner",
    "description": "Student Enrollment reports the number of enrolled students per year, per English language learner status."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "distribution-of-home-sales",
    "branch": "master",
    "path": "datapackage-2013.json",
    "stars": 0,
    "title": "Distribution of Home Sales",
    "description": "Distribution of Home Sales reports the number of single family home sales by Price Range (2011-2013)."
  },
  {
    "user": "fsadata",
    "repo": "certificates-of-competence",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Certificates of Competence ",
    "description": "Numbers of Certificates of Competence (CoC) and Temporary Certificates of Competence (TCoC) issued by Food Standards Agency."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "pre-k-students-psis",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Pre-K Students - PSIS",
    "description": "The Pre-K Students - PSIS dataset presents the number of children in public pre-kindergarten programs by their District of attendance."
  },
  {
    "user": "open-data-kazakhstan",
    "repo": "geo-boundaries-kz",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Geo boundaries Kazakhstan",
    "description": null
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "chronic-absenteeism-by-all-students",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Chronic Absenteeism by All Students",
    "description": "Chronic Absenteeism reports the percentage of chronically absent students during a school year, for all students."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "suspension-rate-by-race",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Suspension Rate by Race",
    "description": "Suspension Rate by Race reports the percentage of students who have received at least one sanction (ISS, OSS, EXP) during a school year, per race/ethnicity."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "fetal-and-infant-mortality-3-year-aggregations-by-town",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Fetal and Infant Mortality - 3-Year Aggregations by Town",
    "description": "Fetal and Infant Mortality - 3-Year Aggregations by Town reports the number and rate of fetal, neonatal, natal, and infant deaths."
  },
  {
    "user": "pdelboca",
    "repo": "datapackage-testing",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Airport Codes",
    "description": null
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "annual-average-employment-and-wages",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Annual Average Employment and Wages",
    "description": "Annual Average Employment and Wages reports several labor statistics related to employment and wage."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "chronic-absenteeism-by-grade",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Chronic Absenteeism by Grade",
    "description": "Chronic Absenteeism reports the percentage of chronically absent students during a school year, per grade."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "distribution-of-home-sales",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Distribution of Home Sales",
    "description": "Distribution of Home Sales reports the number of single family home sales by Price Range (2001-2016)."
  },
  {
    "user": "transparencia-mg",
    "repo": "transicao-siafi-para-grp",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Transição SIAFI para GRP",
    "description": null
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "suspension-rates-by-ELL",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Suspension Rates by ELL",
    "description": "Suspension Rate reports the percentage of students who have received at least one sanction (ISS, OSS, EXP) during a school year, for English language learners"
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "smarter-balanced-by-all-students",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Smarter Balanced by All Students Performance",
    "description": "Smarter Balanced reports the number and percentage of students assessed by the Smarter Balanced (SB) Assessment, per subgroup."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "smarter-balanced-by-all-students",
    "branch": "master",
    "path": "datapackage-17.json",
    "stars": 0,
    "title": "Smarter Balanced by All Students Performance",
    "description": "Smarter Balanced reports the number and percentage of students assessed by the Smarter Balanced (SB) Assessment, per subgroup."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "drug-induced-deaths",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Drug Induced Deaths",
    "description": "Drug Induced Death reports the number and rate of drug-induced deaths."
  },
  {
    "user": "spdrio",
    "repo": "brasilIO-covid19",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Daily time series on COVID-19 in Brazil",
    "description": "Data on the evolution of the COVID-19 disease in Brazil, processed from each state Health Secretariat's COVID-19 daily reports."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "commuting-and-residence",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Commuting and Residence",
    "description": "Commuting and Residence reports the number of commuters into and out of each municipality."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "residential-mobility-by-tenure",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Residential Mobility by Tenure",
    "description": "Residential Mobility by Tenure reports the number and proportion of people whose place of residence changed in the past 12 months"
  },
  {
    "user": "ppKrauss",
    "repo": "openCoherence",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Open Coherence Project, draft1",
    "description": null
  },
  {
    "user": "os-data",
    "repo": "kiel",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Kiel",
    "description": null
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "suspension-rates-by-special-education-status",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Suspension Rates by Special Education Status",
    "description": "Suspension Rate reports the percentage of students who have received at least one sanction (ISS, OSS, EXP) during a school year, for students with special education status."
  },
  {
    "user": "Stephen-Gates",
    "repo": "Stephen-Gates.github.io",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Average Bicycle Counts By Day And Hour",
    "description": "This dataset contains average counts of bicycle traffic by hour of the day and day of the week. Data is collected from bicycle counters across 14 active transport sites. As more sites come on line in the future these will be added to the dataset. These bicycle counters were installed in conjunction with the State Cycle Unit and are permanent installations that provide 24/7 bicycle counting data."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "student-enrollment-by-gender",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Student Enrollment by Gender",
    "description": "Student Enrollment reports the number of enrolled students per year, per gender."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "chronic-absenteeism-by-race-ethnicity",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Chronic Absenteeism by Race Ethnicity",
    "description": "Chronic Absenteeism reports the percentage of chronically absent students during a school year, per race-ethnicity."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "median-age-by-town",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Median Age by Town",
    "description": "Median Age by Town reports the median age of a population for a given Town, Race/Ethnicity, Year, and Gender."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "student-enrollment-by-special-education-status",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Student Enrollment by Special Education Status",
    "description": "Student Enrollment reports the number of enrolled students per year, per special education status."
  },
  {
    "user": "semio",
    "repo": "ddf--fao--food_supply",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": null,
    "description": null
  },
  {
    "user": "os-data",
    "repo": "france-cplf-2013-2014",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "france_cplf_2013_2014",
    "description": "france_cplf_2013_2014"
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "substance-abuse-treatment-admissions",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Substance Abuse Treatment Admissions",
    "description": "Substance Abuse Treatment Admissions reports the number of monthly admissions to Substance Abuse programs, as reported to the Connecticut Department of Mental Health and Addiction Services (DMHAS), and organized by town."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "suspension-rates-by-meal-eligibility",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Suspension Rates by Meal Eligibility",
    "description": "Suspension Rate reports the percentage of students who have received at least one sanction (ISS, OSS, EXP) during a school year, for students eligible for free/reduced price meals."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "fetal-and-infant-mortality-3-year-aggregations-by-county",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Fetal and Infant Mortality - 3-Year Aggregations by County",
    "description": "Fetal and Infant Mortality - 3-Year Aggregations by County reports the number and rate of fetal, neonatal, natal, and infant deaths."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "snap-recipients-by-town",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "SNAP Recipients by Town",
    "description": "SNAP Recipients by Town reports the number and percent of households that receive SNAP, by race/ethnicity of the householder."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "student-enrollment-by-meal-eligibility",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Student Enrollment by Meal Eligibility",
    "description": "Student Enrollment reports the number of enrolled students per year, per meal eligibility."
  },
  {
    "user": "dadosjusbr",
    "repo": "validador",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Remunerações do Sistema de Justiça Brasileiro",
    "description": "Remunerações do Sistema de Justiça Brasileiro, libertadas por DadosJusBR"
  },
  {
    "user": "cynepton",
    "repo": "ncd-risc-height-datapackage",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "NCD RisC average height per country data package",
    "description": "NCD RisC Average Height per Country Data Package"
  },
  {
    "user": "ammarfatehi",
    "repo": "TD-Ameritrade-Stock-Screener",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Nasdaq Listings",
    "description": null
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "alcohol-induced-deaths",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Alcohol Induced Deaths",
    "description": "Description of dataset"
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "children-by-family-type",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Children by Family Type",
    "description": "Children by Family Type reports the number and percent of children living in families by child age and by family type."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "grand-list-top-10-totals",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Grand List Top 10 Totals",
    "description": "Grand List Top 10 Totals reports the total value of the ten highest valued properties by municipality."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "grand-list-top-10-totals",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Grand List Top 10 Totals",
    "description": "Grand List Top 10 Totals reports the total value of the ten highest valued properties by municipality."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "public-vs-private-enrollment-by-town",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Public vs Private Enrollment by Town",
    "description": "Public vs Private Enrollment by Town reports the number and proportion of students enrolled in public or private schools."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "per-capita-income-by-county",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Per Capita Income by County",
    "description": "Per Capita Income by County reports the 5-year estimated mean income for every individual, disaggregated by Race or Ethnicity."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "dui-crashes",
    "branch": "master",
    "path": "datapackage-old.json",
    "stars": 0,
    "title": "DUI Crashes",
    "description": "Driving Under the Influence (DUI) Crashes reports the number of recorded DUI crashes, fatalities, and injuries per town, for a given year."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "chronic-absenteeism-by-meal-eligibility",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Chronic Absenteeism by Meal Eligibility",
    "description": "Chronic Absenteeism reports the percentage of chronically absent students during a school year, per meal eligibility."
  },
  {
    "user": "os-data",
    "repo": "brandenburg",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Brandenburg",
    "description": "Landeshaushalt Brandenburg"
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "sanctions",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Sanctions",
    "description": "Sanctions reports the total number and type of educational sanctions at the school district and state level."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "population-projections-by-town",
    "branch": "master",
    "path": "datapackage-official.json",
    "stars": 0,
    "title": "Population Projections by Town",
    "description": "Population Projections by Town reports the projected population of Connecticut, disaggregated by town, gender and age cohort, in 5-year intervals."
  },
  {
    "user": "danalclop",
    "repo": "frictionless",
    "branch": "master",
    "path": "datapackage_socialcon.json",
    "stars": 0,
    "title": "SOCIALCON fMRI task",
    "description": "This dataset belongs to the functional MRI study entitled: 'Decoding social knowledge in the human brain'. The stud addressed how the brain maps different aspects of social information. We focused on two key dimensions of social knowledge: affect and likableness. Thirty participants were presented with audio definitions, half referring to affective  (e.g. empathetic) and half to non-affective concepts  (e.g. intelligent). Orthogonally, half of the concepts were highly likable (e.g. sincere) and half were socially undesirable (e.g. liar). We used a support vector machine to delineate how both concept dimensions are represented in a set of 9 \\textit{a priori} brain regions defined from previous meta-analyses on semantic and social cognition. We show that average decoding in semantic regions (e.g. lateral temporal lobe, inferior frontal gyrus, and precuneus) outperformed social ROIs (e.g. insula and anterior cingulate), with the lateral temporal lobe containing the highest amount of information about the affect and likableness of social concepts. We also found that the insula had a bias towards affect while the likableness dimension was better represented in anterior cingulate cortex. Our results do not support a modular view of social knowledge representation. They rather indicate that the brain representation of social concepts implicates a distributed network of regions that involves 'domain-specific' social cognitive systems, but with a greater dependence on language-semantic processing."
  },
  {
    "user": "os-data",
    "repo": "stadt-fuerth-2018",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "stadt_fuerth_2018",
    "description": "Haushalt der Stadt Fürth 2018"
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "chronic-absenteeism-by-ELL",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Chronic Absenteeism by English Language Learner",
    "description": "Chronic Absenteeism reports the percentage of chronically absent students during a school year, per English language learner status."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "self-employment-by-business-type-by-county",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Self-Employment by Business Type by County",
    "description": "Self-Employment by Business Type by County reports the size of the employed population of civilian workers aged 16 years and older, by business type, including self-employed, private, and government workers. In the Business Type column, individual Business Types are presented as percentages of the Total employed population for a given county."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "households-with-children",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Households With Children",
    "description": "Households With Children reports a count and proportion of households by tenure and household type, given a presence or absence of own children under the age of 18."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "per-capita-income-by-town",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Per Capita Income by Town",
    "description": "Per Capita Income by Town reports the 5-year estimated mean income for every individual, disaggregated by Race or Ethnicity."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "population-projections-by-county",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Population Projections by County",
    "description": "Population Projections by County reports the projected population of Connecticut, disaggregated by county, gender and age cohort, in 5-year intervals."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "fetal-and-infant-mortality-5-year-aggregations-by-town",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Fetal and Infant Mortality - 5-Year Aggregations by Town",
    "description": "Fetal and Infant Mortality - 5-Year Aggregations by Town reports the number and rate of fetal, neonatal, natal, and infant deaths."
  },
  {
    "user": "os-data",
    "repo": "bonn-2017",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Bonn 2017",
    "description": "Budget data of Bonn city in year 2017."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "tobacco-use",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Tobacco Use",
    "description": "Tobacco Use reports the prevalence of the consumption of tobacco by age range."
  },
  {
    "user": "os-data",
    "repo": "land-nrw",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Land NRW",
    "description": "Landeshaushalt NRW 2015-2017"
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "cost-burdened-households-by-county",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Cost-burdened Households by County",
    "description": "Cost-burdened Households by County reports the number and percent of households that spend at least 30 percent of annual household income on housing costs, by householder status."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "snap-recipients-by-county",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "SNAP Recipients by County",
    "description": "SNAP Recipients by County reports the number and percent of households that receive SNAP, by race/ethnicity of the householder."
  },
  {
    "user": "matthme",
    "repo": "heat-spots-berne",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Heat islands in Bern",
    "description": "Data used for mapping and modelling of urban heat islands."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "student-enrollment-by-race-ethnicity",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Student Enrollment by Race Ethnicity",
    "description": "Student Enrollment reports the number of enrolled students per year, per race-ethnicity."
  },
  {
    "user": "os-data",
    "repo": "land-niedersachsen",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Land Niedersachsen",
    "description": "Land Niedersachsen"
  },
  {
    "user": "os-data",
    "repo": "rheinland-pfalz-haushalt-2016-2017-2018",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Rheinland Pfalz Haushalt 2016 2017 2018",
    "description": "The fiscal household of the state of Rheinland Pfalz for the years of 2016, 2017 and 2018"
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    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Population by Age by Town",
    "description": "Population by Age by Town reports the number and percentage of people living in an area, per age range, gender, and Race/Ethnicity."
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    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Educational Need",
    "description": "Educational Need reports special services and accommodations provided to students by school districts."
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    "user": "CT-Data-Collaborative",
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    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Fetal and Infant Mortality - 5-Year Aggregations by County",
    "description": "Fetal and Infant Mortality - 5-Year Aggregations by County reports the number and rate of fetal, neonatal, natal, and infant deaths."
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    "user": "CT-Data-Collaborative",
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    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Substance Treatment Admissions by Drug Type",
    "description": "Substance Treatment Admissions by Drug Type reports the monthly admission counts by primary drug of choice as reported to the Connecticut Department of Mental Health and Addiction Services."
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    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Internal Audit Plan",
    "description": "List of internal audits planned by year."
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    "user": "CT-Data-Collaborative",
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    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Census Annual Population Estimates by Town",
    "description": "Census Annual Population Estimates by Town presents the 1-year population estimates per town, for a given year."
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    "user": "CT-Data-Collaborative",
    "repo": "marijuana-use",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Marijuana Use",
    "description": "Marijuana Use reports the prevalence of the consumption of marijuana by age range."
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    "user": "shirinkhan17",
    "repo": "Assignment",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Hobby test",
    "description": null
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    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Disengaged Youth",
    "description": "Disengaged Youth reports the number and percent of the population ages 16 to 19 that are both engaged and disengaged, by gender."
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    "user": "os-data",
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    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Alberta Budget",
    "description": "Alberta Budget"
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    "user": "KDrakoulaki",
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    "branch": "main",
    "path": "datapackage_correlational.json",
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    "title": "correlational datapackage",
    "description": "This dataset corresponds to the data gathered for my PhD project. It contains participants' scores in measures of receptive vocabulary, non-verbal IQ, sentence repetition, morphosyntax production and comprehension, phonological awareness, working memory, and music skills. Participants' age is available in months."
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    "user": "CT-Data-Collaborative",
    "repo": "incidents",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Incidents",
    "description": "Incidents reports the number of school incidents by the type of incident."
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    "user": "CT-Data-Collaborative",
    "repo": "population-projections-by-town",
    "branch": "master",
    "path": "datapackage-unofficial.json",
    "stars": 0,
    "title": "Population Projections by Town",
    "description": "Population Projections by Town reports the projected population of Connecticut, disaggregated by town, gender and age cohort, in 5-year intervals."
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    "user": "CT-Data-Collaborative",
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    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
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    "description": "Four-Year Graduation Rate reports 'graduation' counts and rates and 'still enrolled' counts and rates for both graduates and non-graduates, per English language learner status."
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    "user": "CT-Data-Collaborative",
    "repo": "self-employment-by-business-type-by-town",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
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    "description": "Self-Employment by Business Type by Town reports the size of the employed population of civilian workers aged 16 years and older, by business type, including self-employed, private, and government workers. In the Business Type column, individual Business Types are presented as percentages of the Total employed population for a given town."
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    "user": "semio",
    "repo": "ddf--ilo--kilm_employment_status",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": null,
    "description": null
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    "user": "CT-Data-Collaborative",
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    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Residential Mobility by Poverty Status",
    "description": "Residential Mobility by Poverty Status reports the number and proportion of people whose place of residence changed in the last 12 months, disaggregated by poverty status."
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    "user": "CT-Data-Collaborative",
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    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Median Age by County",
    "description": "Median Age by County reports the median age of a population for a given County, Race/Ethnicity, Year, and Gender."
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    "user": "os-data",
    "repo": "ludwigslust",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Ludwigslust",
    "description": null
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    "user": "d-vf",
    "repo": "cmvm-relatorio-de-capital-de-risco-2009",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "CMVM - Relatório de Capital de Risco 2009",
    "description": "Tabelas Relatório de Risco (CMVM) 2009 Fonte: http://www.cmvm.pt/pt/EstatisticasEstudosEPublicacoes/Publicacoes/CapitaldeRisco/Pages/Relatorio_CapRisco.aspx?pg Correcções (somas, etc) Data recolha dados 07/15"
  },
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    "user": "CT-Data-Collaborative",
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    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Four Year Cohort Graduation Rates by Gender",
    "description": "Four-Year Graduation Rate reports 'graduation' counts and rates and 'still enrolled' counts and rates for both graduates and non-graduates, per gender."
  },
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    "user": "CT-Data-Collaborative",
    "repo": "cost-burdened-households-by-town",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Cost-burdened Households by Town",
    "description": "Cost-burdened Households by Town reports the number and percent of households that spend at least 30 percent of annual household income on housing costs, by householder status."
  },
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    "user": "CT-Data-Collaborative",
    "repo": "median-household-income-by-county",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Median Household Income by County",
    "description": "Median Household Income by County reports the median household income, per race/ethnicity."
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    "user": "transparencia-mg",
    "repo": "gestao-contratos",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Gestão de Contratos",
    "description": "Controle da execução dos contratos do Portal da Transparência"
  },
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    "user": "os-data",
    "repo": "city-of-redacre-expenditure",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "City of Redacre expenditure",
    "description": "City of Redacre expenditure"
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    "user": "fsadata",
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    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "FSA Pay Scales",
    "description": "The FSA has two pay scales – one for staff based in London and a national scale for all other staff."
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  {
    "user": "CT-Data-Collaborative",
    "repo": "population-projections-by-town",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Population Projections by Town",
    "description": "Population Projections by Town reports the projected population of Connecticut, disaggregated by town, gender and age cohort, in 5-year intervals."
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    "user": "CT-Data-Collaborative",
    "repo": "prescription-drug-misuse",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Prescription Drug Misuse",
    "description": "Prescription Drug Misuse reports the prevalence of the misuse of prescription pain killers by age range."
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  {
    "user": "Andrelamor",
    "repo": "analytics-test",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Google Analytics",
    "description": "Conjunto que reúne métricas de acesso dos Portais da Transparência e dos Dados Abertos"
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    "user": "CT-Data-Collaborative",
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    "branch": "master",
    "path": "datapackage.json",
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    "title": "Four Year Cohort Graduation Rates by All Students",
    "description": "Four-Year Graduation Rate reports 'graduation' counts and rates and 'still enrolled' counts and rates for both graduates and non-graduates, for all students."
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    "user": "CT-Data-Collaborative",
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    "branch": "master",
    "path": "datapackage-2017.json",
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    "user": "CT-Data-Collaborative",
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    "branch": "master",
    "path": "datapackage.json",
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  {
    "user": "sipaju2",
    "repo": "Final-Project",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "US House Price Index (Case-Shiller)",
    "description": null
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    "user": "os-data",
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    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "City of Frankfurt Expenditure",
    "description": "Profit and loss budget of the City of Frankfurt, Germany."
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    "user": "CT-Data-Collaborative",
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    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Population by Age by County",
    "description": "Population by Age by County reports the number and percentage of people living in an area, per age range, gender, and Race/Ethnicity."
  },
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    "user": "CT-Data-Collaborative",
    "repo": "four-year-grad-rates-by-high-needs",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Four Year Cohort Graduation Rates by High Needs",
    "description": "Four-Year Graduation Rate reports 'graduation' counts and rates and 'still enrolled' counts and rates for both graduates and non-graduates, per high-needs status."
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  {
    "user": "fsadata",
    "repo": "water-official-control-sampling-schedule",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Water Official Control Sampling Schedule ",
    "description": "FSA Northern Ireland Official Control Shellfish Sampling Dates for Water"
  },
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    "user": "CT-Data-Collaborative",
    "repo": "mental-health-and-substance-abuse-treatment-admissions",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Mental Health and Substance Abuse Treatment Admissions",
    "description": "Mental Health and Substance Abuse Treatment Admissions reports the number, percent, and rate of admissions to Mental Health and Substance Abuse programs, as reported to the Connecticut Department of Mental Health and Addiction Services (DMHAS), and organized by town and fiscal year."
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    "user": "CT-Data-Collaborative",
    "repo": "kindergarten-entrance-inventory-results",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Kindergarten Entrance Inventory Results",
    "description": "Kindergarten Entrance Inventory Results reports the number and percentage of kindergarten students, per inventory domain skill level."
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    "user": "CT-Data-Collaborative",
    "repo": "perception-of-great-risk-of-drug-use",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Perception of Great Risk of Drug Use",
    "description": "Perception of Great Risk of Drug Use reports the prevalence of a perception that the use of drugs can cause great harm."
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  {
    "user": "CIFConsulting",
    "repo": "unece-recommendation-20",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "UNECE/CEFACT package codes",
    "description": "Coded representations of the package type names used in International Trade (UNECE/CEFACT Trade Facilitation Recommendation No.20)"
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  {
    "user": "d-vf",
    "repo": "cmvm-relatorio-de-capital-de-risco-2008",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "CMVM - Relatório de Capital de Risco 2008",
    "description": "Tabelas Relatório de Risco (CMVM) 2008 Fonte: http://www.cmvm.pt/pt/EstatisticasEstudosEPublicacoes/Publicacoes/CapitaldeRisco/Pages/Relatorio_CapRisco.aspx?pg Correcções (somas, etc) Data recolha dados 07/15"
  },
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    "user": "CT-Data-Collaborative",
    "repo": "ucr-crime-index",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "UCR Crime Index",
    "description": "UCR Crime Index reports the number and rate of violent and property crimes, per crime type."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "dui-arrests",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "DUI Arrests",
    "description": "Driving under the Influence Arrests reports the number and rate (per 10,000) of recorded DUI offenses, per age range."
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    "user": "os-data",
    "repo": "dominican-republic-2016-budget",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Dominican Republic 2016 budget",
    "description": null
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "drug-arrests",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Drug Arrests",
    "description": "Drug Arrests reports the number and rate (per 10,000) of arrests due to drug law offenses, per age range."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "births-by-maternal-socioeconomic-characteristics-5-year-aggregations",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Births by Maternal Socioeconomic Characteristics - 5-Year Aggregations",
    "description": "Births by Maternal Socioeconomic Characteristics - 5-Year Aggregations reports the 5-year number and percentage of births in certain categories by maternal background information (years of education and marital status)."
  },
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    "user": "CT-Data-Collaborative",
    "repo": "cocaine-use",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Cocaine Use",
    "description": "Cocaine Use reports the prevalence of the consumption of cocaine, by age group"
  },
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    "user": "CT-Data-Collaborative",
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    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Children in Placement by Race and Ethnicity",
    "description": "Children in Placement by Race reports the number of children in Connecticut Department of Children and Families (DCF) placement by Racial or Ethnic Group."
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  {
    "user": "CT-Data-Collaborative",
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    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Children in Placement by Age",
    "description": "Children in Placement by Age reports the number of children in Connecticut Department of Children and Families (DCF) placement by Age Group."
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    "user": "CT-Data-Collaborative",
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    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Non-working Parents",
    "description": "Non-working Parents reports the percent of children living in families where no parent is in the labor force."
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    "user": "CT-Data-Collaborative",
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    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Poverty Status by County",
    "description": "Poverty Status by County reports the number and percentage of people and children living in poverty, by race/ethnicity and age range."
  },
  {
    "user": "CT-Data-Collaborative",
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    "path": "datapackage.json",
    "stars": 0,
    "title": "Births by Maternal Socioeconomic Characteristics - 3-Year Aggregations",
    "description": "Births by Maternal Socioeconomic Characteristics - 3-Year Aggregations reports the 3-year number and percentage of births in certain categories by maternal background information (years of education and marital status)."
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    "user": "CT-Data-Collaborative",
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    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Four Year Cohort Graduation Rates by Meal Eligibility",
    "description": "Four-Year Graduation Rate reports 'graduation' counts and rates and 'still enrolled' counts and rates for both graduates and non-graduates, per meal eligibility."
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  {
    "user": "CT-Data-Collaborative",
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    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Four Year Cohort Graduation Rates by Race Ethnicity",
    "description": "Four-Year Graduation Rate reports 'graduation' counts and rates and 'still enrolled' counts and rates for both graduates and non-graduates, per race-ethnicity."
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    "user": "d-vf",
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    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "CMVM - Relatório de Capital de Risco 2010",
    "description": "Tabelas Relatório de Risco (CMVM) 2010 Fonte: http://www.cmvm.pt/pt/EstatisticasEstudosEPublicacoes/Publicacoes/CapitaldeRisco/Pages/Relatorio_CapRisco.aspx?pg Correcções (somas, etc) Data recolha dados 07/15"
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    "user": "Madchild95",
    "repo": "CDS_Final_Project",
    "branch": "main",
    "path": "datapackage_meta_data.json",
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    "user": "CT-Data-Collaborative",
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    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Illicit Drug Use",
    "description": "Illicit Drug Use reports the prevalence of the consumption of illicit substances by age range."
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    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
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    "user": "CT-Data-Collaborative",
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    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
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    "user": "CT-Data-Collaborative",
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    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Births by Maternal Demographic Characteristics - 5-Year Aggregations",
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    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Liquor Law Arrests",
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  },
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    "user": "CT-Data-Collaborative",
    "repo": "children-in-placement-by-gender",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Children in Placement by Gender",
    "description": "Children in Placement by Gender reports the number of children in Connecticut Department of Children and Families (DCF) placement by Gender."
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    "repo": "berlin-berlin",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Berlin-Berlin",
    "description": null
  },
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    "user": "CT-Data-Collaborative",
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    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Liquor Law Arrests",
    "description": "Liquor Law Arrests reports the number and rate (per 10,000) of arrests due to state or local liquor law violations, per age group."
  },
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    "user": "CT-Data-Collaborative",
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    "path": "datapackage.json",
    "stars": 0,
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    "description": "Births by Maternal Demographic Characteristics - 3-Year Aggregations reports the 3-year average number and percentage of births in certain categories by maternal demographic characteristics (mother's age, race, and ethnicity)."
  },
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    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
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    "description": "Documentos dos Termos de Parceria e Contratos de Gestão firmados pelos órgãos e entidades do Poder Executivo Estadual com OSCIPs e Organizações Sociais"
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    "user": "CT-Data-Collaborative",
    "repo": "single-parent-families",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Single Parent Families",
    "description": "Single-parent Families reports the number and percent of families that are headed by a single parent, by the relation of children under the age of 18 years."
  },
  {
    "user": "shlad9",
    "repo": "MachineLearning",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Men's Shoe Prices",
    "description": "A list of 10,000 men's shoes and the various prices at which they are sold. About This Data This is a list of 10,000 men's shoes provided by  Datafiniti's Product Database . The dataset includes shoe name, brand, price, and more. Each shoe will have an entry for each price found for it and some shoes may have multiple entries. Note that this is a sample of a large dataset. The full dataset is available through Datafiniti. What You Can Do with This Data You can use this data to  determine brand markups, pricing strategies, and trends for luxury shoes . E.g.: What is the average price of each distinct brand listed? Which brands have the highest prices?   Which ones have the widest distribution of prices? Is there a typical price distribution (e.g., normal) across brands or within specific brands? Further processing data would also let you: Correlate specific product features with changes in price. You can cross-reference this data with a sample of our  Women's Shoe Prices  to see if there are any differences between women's brands and men's brands. Data Schema A full schema for the data is available in our  support documentation . About Datafiniti Datafiniti provides instant access to web data.  We compile data from thousands of websites to create standardized databases of business, product, and property information.   Learn more . Interested in the Full Dataset? Get this data and more by  creating a free Datafiniti account  or  requesting a demo ."
  },
  {
    "user": "dados-mg",
    "repo": "compras-emergenciais-covid-19",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Compras Emergenciais COVID-19",
    "description": "Este conjunto de dados contém relação das contratações celebradas pelo Governo de Minas Gerais com fulcro na Lei Federal n. 13.979 de 06 de fevereiro de 2020 para enfrentamento da emergência de saúde pública de importância internacional decorrente do coronavírus."
  },
  {
    "user": "os-data",
    "repo": "mexico-2015-budget",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Mexico 2015 Budget",
    "description": "Budget execution 2015"
  },
  {
    "user": "dadosjusbr",
    "repo": "empacotador",
    "branch": "main",
    "path": "datapackage_descriptor.json",
    "stars": 0,
    "title": "Remunerações do Sistema de Justiça Brasileiro",
    "description": "Remunerações do Sistema de Justiça Brasileiro, libertadas por DadosJusBR"
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "accidental-drug-related-deaths-by-individual-drugs-detected",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Accidental Drug Related Deaths by Individual Drugs Detected",
    "description": "Accidental Drug Related Deaths by Individual Drugs Detected reports totals and subtotals of deaths attributable to accidental drug overdoses by place of death as reported by the Connecticut Office of the Chief Medical Examiner. Deaths are by grouped age, race, ethnicity, and gender and by the individuals drugs detected post-death. The companion dataset, Accidental Drug Related Deaths by Drug Type, reports subtotals by various aggregated categories."
  },
  {
    "user": "nih-cfde",
    "repo": "C2M2syndatagenerator",
    "branch": "main",
    "path": "C2M2_July_datapackage.json",
    "stars": 0,
    "title": "A complete list of schematic specifications for the resources (TSV table files) that will be used to represent C2M2 DCC metadata prior to ingest into the C2M2 database system",
    "description": null
  },
  {
    "user": "enermaps",
    "repo": "JRC-PPDB-OPEN",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "JRC Open Power-plants database - EnerMaps version",
    "description": "The JRC-PPDB-OPEN is primarily based on a collection of all the information published by ENTSO-E on the European power plants at unit level. This information was extended, improved, and where possible corrected using information contained in open datasets published by WRI Powerwatch , Global energy observatory , FRESNA  and the EEA. The JRC-PPDB-OPEN database is a first attempt towards a more detailed and coherent, albeit still incomplete, dataset of European power plants. Further work to expand and improve the information contained therein is called for. To this extend, and in order to facilitate the future involvement of third parties in such efforts, the associations between records in the different datasets (linkage) are included."
  },
  {
    "user": "os-data",
    "repo": "mongolia-budget-2016-2017",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Mongolia Budget 2016-2017",
    "description": "Test"
  },
  {
    "user": "dados-mg",
    "repo": "diarias",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Diárias",
    "description": null
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "child-abuse-and-neglect",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Child Abuse and Neglect",
    "description": "Child Abuse and Neglect presents the total number of allegations, substantiated cases, and the substantiation rate by allegation type for a given town. These data are subsettable by type of allegation and status of the report. Substantiation rate is calculated as a percent of total allegations that are considered 'substantiated' based on independent evaluations. DCF collects and CTdata.org carries annual data. DCF also publishes town-level data online in town reports."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "housing-tenure-by-race-and-ethnicity-by-county",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Housing Tenure by Race and Ethnicity by County",
    "description": "Housing Tenure by Race and Ethnicity by County reports facts about housing units by tenure type and Race/Ethnicity."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "poverty-status-by-town",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Poverty Status by Town",
    "description": "Poverty Status by Town reports the number and percentage of people and children living in poverty, by race/ethnicity and age range."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "births-by-maternal-demographic-characteristics-1-year-data",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Births by Maternal Demographic Characteristics - 1-Year Data",
    "description": "Births by Maternal Demographic Characteristics - 1-Year Data reports the annual number and percentage of births in certain categories by maternal demographic characteristics (mother's age, race, and ethnicity)."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "births-by-maternal-behaviors-1-year-data",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Births by Maternal Behaviors - 1-Year Data",
    "description": "Births by Maternal Behaviors - 1-Year Data reports the annual number and percentage of births in certain categories by maternal behavior characteristics (smoking status during pregnancy and initiation of prenatal care)."
  },
  {
    "user": "dadosjusbr",
    "repo": "agregador",
    "branch": "main",
    "path": "datapackage_descriptor.json",
    "stars": 0,
    "title": "Remunerações do Sistema de Justiça Brasileiro",
    "description": "Remunerações do Sistema de Justiça Brasileiro, libertadas por DadosJusBR"
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "municipal-debt",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Municipal-Debt",
    "description": "Municipal Debt reports several indicators of Municipal Debt."
  },
  {
    "user": "os-data",
    "repo": "program-budget-of-city-of-presov-slovakia-2016",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Program Budget of City of Presov, Slovakia - 2016",
    "description": "Program Budget of City of Presov for 2016."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "alcohol-use",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Alcohol Use",
    "description": "Alcohol Use reports the prevalence of the consumption of alcohol by age range."
  },
  {
    "user": "d-vf",
    "repo": "cmvm-relatorio-de-capital-de-risco-2011",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "CMVM - Relatório de Capital de Risco 2011",
    "description": "Tabelas Relatório de Risco (CMVM) 2011 Fonte: http://www.cmvm.pt/pt/EstatisticasEstudosEPublicacoes/Publicacoes/CapitaldeRisco/Pages/Relatorio_CapRisco.aspx?pg Correcções (somas, etc) Data recolha dados 07/15"
  },
  {
    "user": "os-data",
    "repo": "potsdam-haushalt-2018-entwurf",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Potsdam Haushalt 2018 Entwurf",
    "description": null
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "housing-tenure-by-race-and-ethnicity-by-town",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Housing Tenure by Race and Ethnicity by Town",
    "description": "Housing Tenure by Race and Ethnicity by Town reports facts about housing units by tenure type and Race/Ethnicity."
  },
  {
    "user": "RFSchade",
    "repo": "CDS_exam_project",
    "branch": "main",
    "path": "Datapackage_survey.json",
    "stars": 0,
    "title": "Survey on open data at Aarhus University",
    "description": "Cleaned data from a small survey of data sharing attitudes and practices at Aarhus University, Denmark"
  },
  {
    "user": "fsadata",
    "repo": "biotoxin-official-control-sampling-schedule",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Biotoxin Official Control Sampling Schedule ",
    "description": "FSA Northern Ireland Official Control Shellfish Sampling Dates for Biotoxins"
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "residential-mobility-by-race-and-ethnicity",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Residential Mobility by Race and Ethnicity",
    "description": "Residential Mobility by Race and Ethnicity reports the number and proportion of people who changed their place of residence in the past 12 months."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "births-by-maternal-socioeconomic-characteristics-1-year-data",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Births by Maternal Socioeconomic Characteristics - 1-Year Data",
    "description": "Births by Maternal Socioeconomic Characteristics - 1-Year Data reports the annual number and percentage of births in certain categories by maternal background information (years of education and marital status)."
  },
  {
    "user": "d-vf",
    "repo": "cmvm-relatorio-de-capital-de-risco-2012",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "CMVM - Relatório de Capital de Risco 2012",
    "description": "Tabelas Relatório de Risco (CMVM) 2012 Fonte: http://www.cmvm.pt/pt/EstatisticasEstudosEPublicacoes/Publicacoes/CapitaldeRisco/Pages/Relatorio_CapRisco.aspx?pg Correcções (somas, etc) Data recolha dados 07/15"
  },
  {
    "user": "oceanproteinportal",
    "repo": "phase2-onboarding-resources",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "METYZME Global Proteomics Dataset for expedition KM1128",
    "description": "Global metaproteomic dataset for KM1128 the METZYME expedition. Size fractionated samples collected by McLane pump filters (filter size 0.2 – 3.0 micron). The global proteome dataset presented here included 16951 protein identifications and 31994 unique peptide identifications (Table S1) compiled from 37 samples and 74 raw files (CID and HCD modes for each file) and ### total spectra."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "births-by-maternal-behaviors-3-year-aggregations",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Births by Maternal Behaviors - 3-Year Aggregations",
    "description": "Births by Maternal Behaviors - 3-Year Aggregations reports the 3-year average number and percentage of births in certain categories by maternal behavior characteristics (smoking status during pregnancy and initiation of prenatal care)."
  },
  {
    "user": "Princeton-CDH",
    "repo": "pemm-data",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": null,
    "description": null
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "births-by-maternal-behaviors-5-year-aggregations",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Births by Maternal Behaviors - 5-Year Aggregations",
    "description": "Births by Maternal Behaviors - 5-Year Aggregations reports the 5-year average number and percentage of births in certain categories by maternal behavior characteristics (smoking status during pregnancy and initiation of prenatal care)."
  },
  {
    "user": "The-Actual-Damien",
    "repo": "https-github.com-datasets-country-codes",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Comprehensive country codes: ISO 3166, ITU, ISO 4217 currency codes and many more",
    "description": null
  },
  {
    "user": "fsadata",
    "repo": "microbiological-official-control-sampling-schedule",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Microbiological Official Control Sampling Schedule ",
    "description": "FSA Northern Ireland Official Control Shellfish Sampling Dates for Microbiology"
  },
  {
    "user": "fsadata",
    "repo": "formal-complaints-about-the-food-standards-agency",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Formal Complaints about the Food Standards Agency",
    "description": "Complaints about the Food Standards Agency handled under stage 1 to 3 of the formal complaints process."
  },
  {
    "user": "fsadata",
    "repo": "prompt-payment-data",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Prompt Payment Data",
    "description": "Requirement to publish percentage of our invoices paid within i) 5 Days and ii) 30 Days on a quarterly basis."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "mental-health",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Mental Health",
    "description": "Mental Health reports the prevalence of the mental illness in the past year by age range."
  },
  {
    "user": "os-data",
    "repo": "proyecto-de-presupuesto-de-egresos-de-la-federacion-2018",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Proyecto de Presupuesto de Egresos de la Federación 2018",
    "description": null
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "accidental-drug-related-deaths-by-drug-type",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Accidental Drug Related Deaths by Drug Type",
    "description": "Accidental Drug Related Deaths by Drug Type reports totals and subtotals of deaths attributable to accidental drug overdoses by place of death as reported by the Connecticut Office of the Chief Medical Examiner. Deaths are grouped by age, race, ethnicity, and gender and by the types of drugs detected post-death."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "four-year-grad-rates-by-special-education-status",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Four Year Cohort Graduation Rates by Special Education Status",
    "description": "Four-Year Graduation Rate reports 'graduation' counts and rates and 'still enrolled' counts and rates for both graduates and non-graduates, per special education status."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "public-libraries",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Public Libraries",
    "description": "Public Libraries reports the total and per capita service use and finances of public libraries."
  },
  {
    "user": "AsherLarsen",
    "repo": "Datasets",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Men's Shoe Prices",
    "description": "A list of 10,000 men's shoes and the various prices at which they are sold. About This Data This is a list of 10,000 men's shoes provided by  Datafiniti's Product Database . The dataset includes shoe name, brand, price, and more. Each shoe will have an entry for each price found for it and some shoes may have multiple entries. Note that this is a sample of a large dataset. The full dataset is available through Datafiniti. What You Can Do with This Data You can use this data to  determine brand markups, pricing strategies, and trends for luxury shoes . E.g.: What is the average price of each distinct brand listed? Which brands have the highest prices?   Which ones have the widest distribution of prices? Is there a typical price distribution (e.g., normal) across brands or within specific brands? Further processing data would also let you: Correlate specific product features with changes in price. You can cross-reference this data with a sample of our  Women's Shoe Prices  to see if there are any differences between women's brands and men's brands. Data Schema A full schema for the data is available in our  support documentation . About Datafiniti Datafiniti provides instant access to web data.  We compile data from thousands of websites to create standardized databases of business, product, and property information.   Learn more . Interested in the Full Dataset? Get this data and more by  creating a free Datafiniti account  or  requesting a demo ."
  },
  {
    "user": "dados-mg",
    "repo": "restos-pagar",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Restos a Pagar",
    "description": "Restos a pagar do poder executivo do Estado de Minas Gerais"
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "municipal-revenue-and-expenditures",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Municipal Revenue and Expenditures",
    "description": "Municipal Revenue and Expenditures reports indicators of Municipal revenue, taxes, and expenditures."
  },
  {
    "user": "os-data",
    "repo": "state-of-minas-gerais-brazil-planned-budget",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "State of Minas Gerais (Brazil) Planned Budget",
    "description": "This data has been provided by the Planning Ministry of Minas Gerais for the World Bank."
  },
  {
    "user": "CT-Data-Collaborative",
    "repo": "juvenile-arrests",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Juvenile Arrests",
    "description": "Juvenile Arrests reports the number and rate of arrests for juveniles under the age of 18, per type of crime."
  },
  {
    "user": "gift-data",
    "repo": "estimates-of-national-expenditure-2021-22",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "estimates-of-national-expenditure-2021-22",
    "description": "This dataset includes expenditure data as published in the Estimates of National Expenditure. Departmental expenditure data in previous financial years have been aligned with the budget and programme structures of departments as they are structured in the current Medium Term Expenditure Framework. This means that the structure of historical expenditure data for a department, may not necessarily reflect the same structure of that department when expenditure was incurred during a particular financial year. This may be due to functions shifts which may have occurred within a particular department or a general change in a department’s budget programme structures (BPS) as departments are afforded an opportunity before the start of the Budget to change their BPS.This is to ensure a more economical, efficient and effective delivery of public services and performance by the department as a whole."
  },
  {
    "user": "kingazaan",
    "repo": "serie_a_analysis",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "German Bundesliga (football)",
    "description": null
  },
  {
    "user": "d-vf",
    "repo": "cmvm-relatorio-de-capital-de-risco-2014",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "CMVM - Relatório de Capital de Risco 2014",
    "description": "Tabelas Relatório de Risco (CMVM) 2014 Fonte: http://www.cmvm.pt/pt/EstatisticasEstudosEPublicacoes/Publicacoes/CapitaldeRisco/Pages/Relatorio_CapRisco.aspx?pg Correcções (somas, etc) Data recolha dados 07/15"
  },
  {
    "user": "ZNES-datapackages",
    "repo": "e-highway",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": null,
    "description": null
  },
  {
    "user": "d-vf",
    "repo": "cmvm-relatorio-de-capital-de-risco-2013",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "CMVM - Relatório de Capital de Risco 2013",
    "description": "Tabelas Relatório de Risco (CMVM) 2013 Fonte: http://www.cmvm.pt/pt/EstatisticasEstudosEPublicacoes/Publicacoes/CapitaldeRisco/Pages/Relatorio_CapRisco.aspx?pg Correcções (somas, etc) Data recolha dados 07/15"
  },
  {
    "user": "d-vf",
    "repo": "cmvm-relatorio-de-capital-de-risco-2015",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "CMVM - Relatório de Capital de Risco 2015",
    "description": "Tabelas Relatório de Risco (CMVM) 2015 Fonte: http://www.cmvm.pt/pt/EstatisticasEstudosEPublicacoes/Publicacoes/CapitaldeRisco/Pages/Relatorio_CapRisco.aspx?pg Correcções (somas, etc)Data recolha dados 07/16 Notas\tValor sob Gestao O “Valor sob Gestao” e obtido pela soma das rubricas de participacoes sociais, outros financiamentos1 , liquidez2 , posicoes sobre derivados (opcoes) e outros ativos, a que sao subtraidos o endividamento e os outros passivos.3 Este conceito e semelhante ao conceito de VLGF dos Fundos de Capital de Risco Notas\tAtivos sob Gestao Os “Ativos sob Gestao” sao calculados atraves da soma das rubricas de participacoes sociais, outros financiamentos, liquidez, posicoes sobre derivados (opcoes) e outros ativos.4 Notas\t\"Valor do Setor O “Valor do Setor” (ou valor comercial do capital de risco) resulta da soma das rubricas de participacoes sociais, outros financiamentos e posicoes sobre derivados (opcoes), a que se adiciona tambem o capital nao realizado mas subscrito pelosparticipantes ou pelos acionistas.\" Notas\tInvestimento O “Investimento” e uma variavel stock obtida atraves da soma das rubricas de participacoes sociais e outros financiamentos (rubricas 1 e 2 do Anexo I da Instrucao da CMVM n.. 2/2013). Notas\tValor Liquido Global do Fundo (VLGF) O “Valor Liquido Global do Fundo” ou de compartimento patrimonial autonomo deste e o montante correspondente ao valor total dos respetivos ativos, subtraido do valor total dos seus passivos. Notas\t1 Prestacoes acessorias, prestacoes suplementares, suprimentos, obrigacoes e outros titulos de divida, emprestimos nao titulados e unidades de participacao de FCR.Notas\t2 Ate a adocao da Instrucao n.. 2/2013 da CMVM, a informacao relativa a liquidez considerava a informacao transmitida pelas SCR a CMVM e referida no ponto 1.4 (Outros Ativos de Capital de Risco) do Anexo I do Regulamento da CMVM n.. 1/2008. Ou seja, “os depositos e outros meios liquidos afetos ao investimento em capital de risco”Notas\t3 Ou seja, corresponde a soma das rubricas 1, 2, 3, 51 e 52, a que se subtraem as rubricas 4 e 53 do Anexo I da Instrucao n. 2/2013 da CMVM.Notas\t4 Ou seja, corresponde a soma das rubricas 1, 2, 3, 51 e 52 do Anexo I da Instrucao n. 2/2013 da CMVM. O artigo 2. (Calculo dos ativos sob gestao) do Regulamento Delegado (UE) N.. 231/2013 da Comissao, de 19 de Dezembro de 2012, que complementa a Diretiva 2011/61/UE do Parlamento Europeu e do Conselho, identifica a formulacao respeitante ao “valor correspondente dos ativos sob gestao”."
  },
  {
    "user": "os-data",
    "repo": "complete-european-esif-funds-beneficiaries-2007-2020-filtered-by-pl",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Complete European ESIF Funds Beneficiaries 2007-2020 (Filtered by PL)",
    "description": "Structural and Cohesion Funds are financial tools set up to implement the regional policy of the European Union. They aim to reduce regional disparities in income wealth and opportunities. The overall budget for the 2007-2013 period was €347 billion according to Wikipedia. This repository is a data pipeline. It channels information about the beneficiaries of the funds into the OpenSpending data store. The goal is to provide a unified data-set that is easy to visualize and query so that citizens and journalists can follow the money on a local and global scale. This project is a collaborative effort between Open-Knowledge Germany, Open Knowledge International and a number of journalists and developers."
  },
  {
    "user": "ewheeler",
    "repo": "make-country-codes",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Comprehensive country codes: ISO 3166, ITU, ISO 4217 currency codes and many more",
    "description": null
  },
  {
    "user": "fsadata",
    "repo": "completed-internal-audits",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Completed Internal Audits",
    "description": "List of internal audits in the Audit Plan that have actually been carried out."
  },
  {
    "user": "os-data",
    "repo": "complete-european-esif-funds-beneficiaries-2007-2020-filtered-by-at",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Complete European ESIF Funds Beneficiaries 2007-2020 (Filtered by AT)",
    "description": "Structural and Cohesion Funds are financial tools set up to implement the regional policy of the European Union. They aim to reduce regional disparities in income wealth and opportunities. The overall budget for the 2007-2013 period was €347 billion according to Wikipedia. This repository is a data pipeline. It channels information about the beneficiaries of the funds into the OpenSpending data store. The goal is to provide a unified data-set that is easy to visualize and query so that citizens and journalists can follow the money on a local and global scale. This project is a collaborative effort between Open-Knowledge Germany, Open Knowledge International and a number of journalists and developers."
  },
  {
    "user": "os-data",
    "repo": "complete-european-esif-funds-beneficiaries-2007-2020-filtered-by-hr",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Complete European ESIF Funds Beneficiaries 2007-2020 (Filtered by HR)",
    "description": "Structural and Cohesion Funds are financial tools set up to implement the regional policy of the European Union. They aim to reduce regional disparities in income wealth and opportunities. The overall budget for the 2007-2013 period was €347 billion according to Wikipedia. This repository is a data pipeline. It channels information about the beneficiaries of the funds into the OpenSpending data store. The goal is to provide a unified data-set that is easy to visualize and query so that citizens and journalists can follow the money on a local and global scale. This project is a collaborative effort between Open-Knowledge Germany, Open Knowledge International and a number of journalists and developers."
  },
  {
    "user": "cindym02",
    "repo": "hants-506",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "ISPY1_Trial",
    "description": "Clinical and MRI data from the ISPY1 clinical trial of patients with breast cancer Description and Objectives The goal of this project is to improve the prediction of clinical outcomes to neoadjuvant chemotherapy in patients with breast cancer.Currently, most patients with breast cancer undergo neoadjuvant chemotherapy, which is aimed to reduce the tumor size (burden) before surgery to remove the tumor or the entire breast. Some of the patients response completely to the therapy and the patient does not present any residual tumor at the time of surgery. On the other hand, some patients have residual disease at the time of surgery and further treatment is required. Data Source These data for  222 patients  treated for breast cancer was obtained from the cancer imaging archive and the Breast Imaging Research Program at UCSF, in collaboration with ACRIN, CALGB, the I-SPY TRIAL, and TCIA. More details  here . Predictors of clinical outcomes Two types of data are available for this project: Clinical Data as a XLS file with the following fields: Age  (Years) Race , encoded as: 1 = Caucasian 3 = African American 4 = Asian 5 = Native Hawaiian 6 = American Indian 50 = Multiple race Estrogen Receptor Status ( ER+ ) encoded as: 1 = Positive 0 = Negative Blank = Indeterminate Progesterone Receptor Status ( PR+ ) encoded as: 1 = Positive 0 = Negative Blank = Indeterminate Hormone Receptor Status ( ER+ ) 1 = Positive 0 = Negative Blank = Indeterminate Bilateral Breast Cancer ( Bilateral ): 1 = Cancer Detected on both breasts 0 = Cancer Detected in a single breast Breast with major or single Tumor ( Laterality ): 1 = Left breast 2 = Right breast Largest tumor dimension at Baseline estimated by MRI ( MRI_LD_Baseline ) Continous variable Largest tumor dimension 1-3 days after NAC estimated by MRI ( MRI_LD_1_3dAC ) Continous variable Largest tumor dimension between cycles of NAC estimated by MRI ( MRI_LD_Int_Reg ) Continous variable Largest tumor dimension before surgery estimated by MRI ( MRI_LD_PreSurg ) Continous variable MRI with contrast at three time points: Modalities: \t\tMR, SEG Number of Patients: 222 Number of Studies: \t847 Number of Images: \t386,528 Images Size (GB)\t76.2 GigaByte Clinical Outcomes Several clinical outcomes are described in this data set. Survival Status ( Survival ): 7 = Alive 8 = Dead 9 = Lost to follow up Length of Survival ( Survival_length ): Days from study entry to death or last follow-up Recurrence-free survival ( RFS ): days from from NCAC start until progression or death Recurrence-free survival indicator ( RFS_code ) progression or death (1), removed from survival curve (0) Pathologic Complete Response ( PCR ) post-neoadjuvant ?: 1 = Yes 0 = No Lost (Blank) Residual Cancer Burden class ( RCB ): 0 = RCB index (Class 0) 1 = RCB index less than or equal to 1.36 (Class I) 2 = RCB index greater than 1.36 or equal to 3.28  (Class II) 3 = III, RCB index greater than 3.28 (Class III) Blank = unavailable or no surgery"
  },
  {
    "user": "os-data",
    "repo": "haushaltsdaten-bremen-2016-2018",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Haushaltsdaten Bremen 2016-2018",
    "description": "Zur Verfügung gestellt werden die kameralen Haushaltsdaten der Freien Hansestadt Bremen, genauer des Landes und der Stadtgemeinde Bremen, für die Haushaltsjahre 2016, 2017 sowie 2018.Die Stadt Bremerhaven erstellt einen eigenen Haushaltsplan, der von der Stadtverordnetenversammlung beschlossen wird.Weitere Informationen zu den einzelnen Haushaltsplänen der Hansestadt Bremen finden sich im Transparenzportal Bremen unter http://transparenz.bremen.de/"
  },
  {
    "user": "os-data",
    "repo": "complete-european-esif-funds-beneficiaries-2007-2020-filtered-by-cz",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Complete European ESIF Funds Beneficiaries 2007-2020 (Filtered by CZ)",
    "description": "Structural and Cohesion Funds are financial tools set up to implement the regional policy of the European Union. They aim to reduce regional disparities in income wealth and opportunities. The overall budget for the 2007-2013 period was €347 billion according to Wikipedia. This repository is a data pipeline. It channels information about the beneficiaries of the funds into the OpenSpending data store. The goal is to provide a unified data-set that is easy to visualize and query so that citizens and journalists can follow the money on a local and global scale. This project is a collaborative effort between Open-Knowledge Germany, Open Knowledge International and a number of journalists and developers."
  },
  {
    "user": "os-data",
    "repo": "complete-european-esif-funds-beneficiaries-2007-2020-filtered-by-nl",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Complete European ESIF Funds Beneficiaries 2007-2020 (Filtered by NL)",
    "description": "Structural and Cohesion Funds are financial tools set up to implement the regional policy of the European Union. They aim to reduce regional disparities in income wealth and opportunities. The overall budget for the 2007-2013 period was €347 billion according to Wikipedia. This repository is a data pipeline. It channels information about the beneficiaries of the funds into the OpenSpending data store. The goal is to provide a unified data-set that is easy to visualize and query so that citizens and journalists can follow the money on a local and global scale. This project is a collaborative effort between Open-Knowledge Germany, Open Knowledge International and a number of journalists and developers."
  },
  {
    "user": "os-data",
    "repo": "complete-european-esif-funds-beneficiaries-2007-2020-filtered-by-hu",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Complete European ESIF Funds Beneficiaries 2007-2020 (Filtered by HU)",
    "description": "Structural and Cohesion Funds are financial tools set up to implement the regional policy of the European Union. They aim to reduce regional disparities in income wealth and opportunities. The overall budget for the 2007-2013 period was €347 billion according to Wikipedia. This repository is a data pipeline. It channels information about the beneficiaries of the funds into the OpenSpending data store. The goal is to provide a unified data-set that is easy to visualize and query so that citizens and journalists can follow the money on a local and global scale. This project is a collaborative effort between Open-Knowledge Germany, Open Knowledge International and a number of journalists and developers."
  },
  {
    "user": "os-data",
    "repo": "complete-european-esif-funds-beneficiaries-2007-2020",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Complete European ESIF Funds Beneficiaries 2007-2020",
    "description": "Structural and Cohesion Funds are financial tools set up to implement the regional policy of the European Union. They aim to reduce regional disparities in income wealth and opportunities. The overall budget for the 2007-2013 period was €347 billion according to Wikipedia. This repository is a data pipeline. It channels information about the beneficiaries of the funds into the OpenSpending data store. The goal is to provide a unified data-set that is easy to visualize and query so that citizens and journalists can follow the money on a local and global scale. This project is a collaborative effort between Open-Knowledge Germany, Open Knowledge International and a number of journalists and developers."
  },
  {
    "user": "os-data",
    "repo": "ded-sachsen-2007-2013-erdf",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "DED.Sachsen 2007-2013 ERDF",
    "description": "The beneficiary list for the ERDF (2007-2013) program for Sachsen."
  },
  {
    "user": "os-data",
    "repo": "complete-european-esif-funds-beneficiaries-2007-2020-filtered-by-se",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Complete European ESIF Funds Beneficiaries 2007-2020 (Filtered by SE)",
    "description": "Structural and Cohesion Funds are financial tools set up to implement the regional policy of the European Union. They aim to reduce regional disparities in income wealth and opportunities. The overall budget for the 2007-2013 period was €347 billion according to Wikipedia. This repository is a data pipeline. It channels information about the beneficiaries of the funds into the OpenSpending data store. The goal is to provide a unified data-set that is easy to visualize and query so that citizens and journalists can follow the money on a local and global scale. This project is a collaborative effort between Open-Knowledge Germany, Open Knowledge International and a number of journalists and developers."
  },
  {
    "user": "os-data",
    "repo": "complete-european-esif-funds-beneficiaries-2007-2020-filtered-by-fr",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Complete European ESIF Funds Beneficiaries 2007-2020 (Filtered by FR)",
    "description": "Structural and Cohesion Funds are financial tools set up to implement the regional policy of the European Union. They aim to reduce regional disparities in income wealth and opportunities. The overall budget for the 2007-2013 period was €347 billion according to Wikipedia. This repository is a data pipeline. It channels information about the beneficiaries of the funds into the OpenSpending data store. The goal is to provide a unified data-set that is easy to visualize and query so that citizens and journalists can follow the money on a local and global scale. This project is a collaborative effort between Open-Knowledge Germany, Open Knowledge International and a number of journalists and developers."
  },
  {
    "user": "os-data",
    "repo": "complete-european-esif-funds-beneficiaries-2007-2020-filtered-by-si",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Complete European ESIF Funds Beneficiaries 2007-2020 (Filtered by SI)",
    "description": "Structural and Cohesion Funds are financial tools set up to implement the regional policy of the European Union. They aim to reduce regional disparities in income wealth and opportunities. The overall budget for the 2007-2013 period was €347 billion according to Wikipedia. This repository is a data pipeline. It channels information about the beneficiaries of the funds into the OpenSpending data store. The goal is to provide a unified data-set that is easy to visualize and query so that citizens and journalists can follow the money on a local and global scale. This project is a collaborative effort between Open-Knowledge Germany, Open Knowledge International and a number of journalists and developers."
  },
  {
    "user": "os-data",
    "repo": "complete-european-esif-funds-beneficiaries-2007-2020-filtered-by-uk",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Complete European ESIF Funds Beneficiaries 2007-2020 (Filtered by UK)",
    "description": "Structural and Cohesion Funds are financial tools set up to implement the regional policy of the European Union. They aim to reduce regional disparities in income wealth and opportunities. The overall budget for the 2007-2013 period was €347 billion according to Wikipedia. This repository is a data pipeline. It channels information about the beneficiaries of the funds into the OpenSpending data store. The goal is to provide a unified data-set that is easy to visualize and query so that citizens and journalists can follow the money on a local and global scale. This project is a collaborative effort between Open-Knowledge Germany, Open Knowledge International and a number of journalists and developers."
  },
  {
    "user": "os-data",
    "repo": "complete-european-esif-funds-beneficiaries-2007-2020-filtered-by-pt",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Complete European ESIF Funds Beneficiaries 2007-2020 (Filtered by PT)",
    "description": "Structural and Cohesion Funds are financial tools set up to implement the regional policy of the European Union. They aim to reduce regional disparities in income wealth and opportunities. The overall budget for the 2007-2013 period was €347 billion according to Wikipedia. This repository is a data pipeline. It channels information about the beneficiaries of the funds into the OpenSpending data store. The goal is to provide a unified data-set that is easy to visualize and query so that citizens and journalists can follow the money on a local and global scale. This project is a collaborative effort between Open-Knowledge Germany, Open Knowledge International and a number of journalists and developers."
  },
  {
    "user": "os-data",
    "repo": "complete-european-esif-funds-beneficiaries-2007-2020-filtered-by-el",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Complete European ESIF Funds Beneficiaries 2007-2020 (Filtered by EL)",
    "description": "Structural and Cohesion Funds are financial tools set up to implement the regional policy of the European Union. They aim to reduce regional disparities in income wealth and opportunities. The overall budget for the 2007-2013 period was €347 billion according to Wikipedia. This repository is a data pipeline. It channels information about the beneficiaries of the funds into the OpenSpending data store. The goal is to provide a unified data-set that is easy to visualize and query so that citizens and journalists can follow the money on a local and global scale. This project is a collaborative effort between Open-Knowledge Germany, Open Knowledge International and a number of journalists and developers."
  },
  {
    "user": "os-data",
    "repo": "complete-european-esif-funds-beneficiaries-2007-2020-filtered-by-de",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Complete European ESIF Funds Beneficiaries 2007-2020 (Filtered by DE)",
    "description": "Structural and Cohesion Funds are financial tools set up to implement the regional policy of the European Union. They aim to reduce regional disparities in income wealth and opportunities. The overall budget for the 2007-2013 period was €347 billion according to Wikipedia. This repository is a data pipeline. It channels information about the beneficiaries of the funds into the OpenSpending data store. The goal is to provide a unified data-set that is easy to visualize and query so that citizens and journalists can follow the money on a local and global scale. This project is a collaborative effort between Open-Knowledge Germany, Open Knowledge International and a number of journalists and developers."
  },
  {
    "user": "os-data",
    "repo": "complete-european-esif-funds-beneficiaries-2007-2020-filtered-by-sk",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Complete European ESIF Funds Beneficiaries 2007-2020 (Filtered by SK)",
    "description": "Structural and Cohesion Funds are financial tools set up to implement the regional policy of the European Union. They aim to reduce regional disparities in income wealth and opportunities. The overall budget for the 2007-2013 period was €347 billion according to Wikipedia. This repository is a data pipeline. It channels information about the beneficiaries of the funds into the OpenSpending data store. The goal is to provide a unified data-set that is easy to visualize and query so that citizens and journalists can follow the money on a local and global scale. This project is a collaborative effort between Open-Knowledge Germany, Open Knowledge International and a number of journalists and developers."
  },
  {
    "user": "os-data",
    "repo": "complete-european-esif-funds-beneficiaries-2007-2020-filtered-by-es",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Complete European ESIF Funds Beneficiaries 2007-2020 (Filtered by ES)",
    "description": "Structural and Cohesion Funds are financial tools set up to implement the regional policy of the European Union. They aim to reduce regional disparities in income wealth and opportunities. The overall budget for the 2007-2013 period was €347 billion according to Wikipedia. This repository is a data pipeline. It channels information about the beneficiaries of the funds into the OpenSpending data store. The goal is to provide a unified data-set that is easy to visualize and query so that citizens and journalists can follow the money on a local and global scale. This project is a collaborative effort between Open-Knowledge Germany, Open Knowledge International and a number of journalists and developers."
  },
  {
    "user": "os-data",
    "repo": "el-greece-2014-2020-erdf-esf-cf",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "EL.Greece 2014-2020 ERDF ESF CF",
    "description": "A list of all the public projects and state aids selected for co-funding under the Partnership Agreement 2014-2020 by Operational Programme and by Fund"
  },
  {
    "user": "os-data",
    "repo": "ee-estonia-2007-2013-erdf-esf-cf",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "EE.Estonia 2007-2013 ERDF ESF CF (?)",
    "description": "In the period of 2007-2013 Estonia was allocated more than 3.40 billion euros from the structural assistance, which will be channelled to the following fields: energy economies, entrepreneurship, administrative capability, education, information society, environment protection, regional and local development, research and development activities, healthcare and welfare, transportation and labour market."
  },
  {
    "user": "os-data",
    "repo": "es-spain-2007-2013-esf",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "ES.Spain 2007-2013 ESF",
    "description": "The beneficiary list of the ESF programme for Spain."
  },
  {
    "user": "os-data",
    "repo": "complete-european-esif-funds-beneficiaries-2007-2020-filtered-by-fi",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Complete European ESIF Funds Beneficiaries 2007-2020 (Filtered by FI)",
    "description": "Structural and Cohesion Funds are financial tools set up to implement the regional policy of the European Union. They aim to reduce regional disparities in income wealth and opportunities. The overall budget for the 2007-2013 period was €347 billion according to Wikipedia. This repository is a data pipeline. It channels information about the beneficiaries of the funds into the OpenSpending data store. The goal is to provide a unified data-set that is easy to visualize and query so that citizens and journalists can follow the money on a local and global scale. This project is a collaborative effort between Open-Knowledge Germany, Open Knowledge International and a number of journalists and developers."
  },
  {
    "user": "os-data",
    "repo": "nl-netherlands-2014-2020-esf",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "NL.Netherlands 2014-2020 ESF",
    "description": "The beneficiary list of the ESF programme for Netherlands."
  },
  {
    "user": "os-data",
    "repo": "at33-tirol-2007-2013-erdf",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "AT33.Tirol 2007-2013 ERDF",
    "description": "Tirol is a region in Austria. From 2007-2013 it has received ESF funding through the national program and ERDF funding through a regional program. The regional program is called \"Stärkung der Regionalen Wettbewerbsfähigkeit und Beschäftigung Tirol 2007-2013\". The dataset at hand describes the funding distributed through said program."
  },
  {
    "user": "os-data",
    "repo": "nl-netherlands-2014-2020-esf",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "NL.Netherlands 2014-2020 ESF",
    "description": "The beneficiary list of the ESF programme for Netherlands."
  },
  {
    "user": "os-data",
    "repo": "complete-european-esif-funds-beneficiaries-2007-2020-filtered-by-it",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Complete European ESIF Funds Beneficiaries 2007-2020 (Filtered by IT)",
    "description": "Structural and Cohesion Funds are financial tools set up to implement the regional policy of the European Union. They aim to reduce regional disparities in income wealth and opportunities. The overall budget for the 2007-2013 period was €347 billion according to Wikipedia. This repository is a data pipeline. It channels information about the beneficiaries of the funds into the OpenSpending data store. The goal is to provide a unified data-set that is easy to visualize and query so that citizens and journalists can follow the money on a local and global scale. This project is a collaborative effort between Open-Knowledge Germany, Open Knowledge International and a number of journalists and developers."
  },
  {
    "user": "os-data",
    "repo": "rhein-kreis-neuss",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Rhein-Kreis Neuss",
    "description": null
  },
  {
    "user": "hnstn",
    "repo": "covidroo",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Daily time series on COVID-19 in Brazil",
    "description": "Data on the evolution of the COVID-19 disease in Brazil, processed from each state Health Secretariat's COVID-19 daily reports."
  },
  {
    "user": "os-data",
    "repo": "balansen-onderwijs-2012-2016-nl-v4-9",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "balansen onderwijs 2012-2016 NL v4.9",
    "description": "Balansen van het onderwijs in Nederland 2012-1016"
  },
  {
    "user": "os-data",
    "repo": "es-spain-2007-2013-erdf",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "ES.Spain 2007-2013 ERDF",
    "description": "The beneficiary list of the ERDF programme for Spain."
  },
  {
    "user": "os-data",
    "repo": "presupuesto-im",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Presupuesto IM",
    "description": "Presupuesto IM"
  },
  {
    "user": "os-data",
    "repo": "complete-european-esif-funds-beneficiaries-2007-2020-filtered-by-dk",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Complete European ESIF Funds Beneficiaries 2007-2020 (Filtered by DK)",
    "description": "Structural and Cohesion Funds are financial tools set up to implement the regional policy of the European Union. They aim to reduce regional disparities in income wealth and opportunities. The overall budget for the 2007-2013 period was €347 billion according to Wikipedia. This repository is a data pipeline. It channels information about the beneficiaries of the funds into the OpenSpending data store. The goal is to provide a unified data-set that is easy to visualize and query so that citizens and journalists can follow the money on a local and global scale. This project is a collaborative effort between Open-Knowledge Germany, Open Knowledge International and a number of journalists and developers."
  },
  {
    "user": "os-data",
    "repo": "complete-european-esif-funds-beneficiaries-2007-2020-filtered-by-bg",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Complete European ESIF Funds Beneficiaries 2007-2020 (Filtered by BG)",
    "description": "Structural and Cohesion Funds are financial tools set up to implement the regional policy of the European Union. They aim to reduce regional disparities in income wealth and opportunities. The overall budget for the 2007-2013 period was €347 billion according to Wikipedia. This repository is a data pipeline. It channels information about the beneficiaries of the funds into the OpenSpending data store. The goal is to provide a unified data-set that is easy to visualize and query so that citizens and journalists can follow the money on a local and global scale. This project is a collaborative effort between Open-Knowledge Germany, Open Knowledge International and a number of journalists and developers."
  },
  {
    "user": "os-data",
    "repo": "uk-united-kingdom-2007-2013-erdf-esf",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "UK.United Kingdom 2007-2013 ERDF ESF",
    "description": "The beneficiary list of the ESF and ERDF programme for the UK."
  },
  {
    "user": "os-data",
    "repo": "esf-and-erdf-data-for-italy-2007-2013",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "ESF and ERDF Data for Italy (2007-2013)",
    "description": "The beneficiary list of the ESF programme for Italy."
  },
  {
    "user": "pescandodatos",
    "repo": "datos",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": null,
    "description": null
  },
  {
    "user": "os-data",
    "repo": "de3-berlin-2007-2013-erdf",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "DE3.Berlin 2007-2013 ERDF",
    "description": "The beneficiary list of the ERDF and ERDF programme for Berlin"
  },
  {
    "user": "os-data",
    "repo": "bg-bulgaria-2007-2013-2014-2020-erdf-esf-cf",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "BG Bulgaria 2007-2013 2014-2020 ERDF ESF CF",
    "description": "One massive xls dataset containing all bulgarian ESIF data. Web interface contains even more data, so scraping may be advisable additionally. Can't be directly linked!"
  },
  {
    "user": "os-data",
    "repo": "hu-hungary-2014-2020-erdf-esf-cf",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "HU.Hungary 2014-2020 ERDF ESF CF",
    "description": "The beneficiary list for the ESIF (2014-2020) program for Hungary."
  },
  {
    "user": "os-data",
    "repo": "nl-netherlands-2007-2013-esf",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "NL.Netherlands 2007-2013 ESF",
    "description": "The beneficiary list of the ESF programme for Netherlands 2007-2013."
  },
  {
    "user": "argv0",
    "repo": "testdataset",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "npi-main",
    "description": null
  },
  {
    "user": "amanchopra95",
    "repo": "twitter_data",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Tweets of Congress - November",
    "description": "Tweets of Congress from Alex Litel About Tweets of Congress is  Alex Litel 's attempt to collate the entirety of Congress’ daily Twitter output using an automated process that checks Twitter on a fixed interval. Archives are available on Github and in JSON form. You can find JSON datasets linked in posts or in  Github repository . Due to size constraints, archives will be limited at some tbd point.  Tweets of Congress is the front-end portion of a project collecting the daily tweets of both houses of Congress, encompassing 1,000+ campaign, office, committee and party accounts. It's designed to be used in concert with the Congressional Tweet Automator, which creates the content in this repo (among other things). For more information on the process of how everything is compiled, visit the aforementioned repo for the Automator. The collected tweets are available as JSON datasets, which are generated around midnight EST. You can find them in this repository inside the data folder, and they are also linked at the site. To do a little more with the datasets, you may want to check out the users-filtered.json dataset -- which contains metadata for all the accounts the project follows for tweet collection -- in the automation repo. Due to size constraints, archives will cut off at some point, and because the automation portion interfaces with low-level Github and Git features, the commit history may be volatile and subject to change. Also, most commits in this repo will come from an account that is completely automated. This site is open-source, so feel free to fork or whatever to your heart's content. For any issues or other feedback, file an issue, make a pull request, or send me an email. Acknowledgments Jekyll site is built on John Otander's Pixyll theme.Dataset was created with the help of the @unitedstates/congress-legislators project. #Licence MIT License Copyright (c) 2017 Alex Litel Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the \"Software\"), to dealin the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sellcopies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. Read more about the  license . Source:  https://alexlitel.github.io/congresstweets/"
  },
  {
    "user": "EmmanuelAmodu",
    "repo": "COVID-19-Datapackage",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Covid datapackage",
    "description": "daily time series of COVID-19 case summary tables, including confirmed, deaths and recovered. All data are from the daily case report."
  },
  {
    "user": "os-data",
    "repo": "presupuesto-aprobado-y-devengado-de-queretaro",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Presupuesto Aprobado y Devengado de Querétaro",
    "description": "Presupuesto Aprobado y Devengado para el estado de Querétaro en 2019."
  },
  {
    "user": "os-data",
    "repo": "boost-guatemala-central",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "BOOST Guatemala Central",
    "description": null
  },
  {
    "user": "d-vf",
    "repo": "cmvm-relatorio-de-capital-de-risco-2007",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "CMVM - Relatório de Capital de Risco 2007",
    "description": "Tabelas Relatório de Risco (CMVM) 2007Fonte: http://www.cmvm.pt/pt/EstatisticasEstudosEPublicacoes/Publicacoes/CapitaldeRisco/Pages/Relatorio_CapRisco.aspx?pgCorrecções (somas, etc)Data recolha dados 07/15"
  },
  {
    "user": "fsadata",
    "repo": "other-species-conditions-data",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Other Species Conditions Data",
    "description": "Conditions data in species other than cattle, poultry, pigs and sheep & goats, collected by Food Standards Agency staff at approved meat establishments as a percentage of throughput. The data is aggregated to country level and is shown by month."
  },
  {
    "user": "os-data",
    "repo": "dallgow",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "dallgow",
    "description": null
  },
  {
    "user": "fsadata",
    "repo": "food-standards-agency-business-appointment-rules",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Food Standards Agency : Business Appointment Rules",
    "description": "All outside appointments or employment taken up by former HMRC staff at senior civil service levels SCS1 and SCS2."
  },
  {
    "user": "sentinel-energy",
    "repo": "friendly_data_example",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": null,
    "description": "Calliope output dataset for IAMC conversion"
  },
  {
    "user": "fsadata",
    "repo": "cattle-conditions",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Cattle Conditions",
    "description": "Cattle condition data collected by Food Standards Agency staff at approved meat establishments as a percentage of cattle throughput.  The data is aggregated to country level and is shown by month."
  },
  {
    "user": "fsadata",
    "repo": "pig-conditions",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Pig Conditions",
    "description": "Pig condition data collected by Food Standards Agency staff at approved meat establishments as a percentage of pig throughput. The data is aggregated to country level and is shown by month. Pig throughput data currently represents 50% of total throughput and will be updated as throughput data from remaining approved establishments becomes available."
  },
  {
    "user": "fsadata",
    "repo": "poultry-conditions",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Poultry Conditions",
    "description": "Poultry condition data collected by Food Standards Agency staff at approved meat establishments as a percentage of poultry throughput. The data is aggregated to country level and is shown by month."
  },
  {
    "user": "fsadata",
    "repo": "shellfish-monitoring",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Shellfish Monitoring",
    "description": "Guidance and information on hygiene for shellfish producers including bio-toxin and phytoplankton results."
  },
  {
    "user": "dados-mg",
    "repo": "convenios-saida",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Convênios / Parcerias de Saída de Recursos",
    "description": null
  },
  {
    "user": "dados-mg",
    "repo": "convenios-entrada",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Convênio de entrada de recursos",
    "description": null
  },
  {
    "user": "d9it",
    "repo": "HSDS-Validator",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Human Services Data Specification Template",
    "description": "This is a template datapackage.json file for producing a Tabular Data Package of data according to the Human Services Data Specification. You should provide an edited version of this file as part of any datapackage you provide, updating the title, description, license and homepage information to reflect the data you are publishing."
  },
  {
    "user": "fsadata",
    "repo": "sheep-goat-conditions",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Sheep & Goat Conditions",
    "description": "Sheep & goat condition data collected by Food Standards Agency staff at approved meat establishments as a percentage of sheep & goat throughput. The data is aggregated to country level and is shown by month."
  },
  {
    "user": "KTH-dESA",
    "repo": "ghana",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "The OSeMOSYS Simplicity Example Model",
    "description": null
  },
  {
    "user": "fsadata",
    "repo": "registered-dairy-establishments",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Registered Dairy Establishments",
    "description": "A list of dairy producers registered with the Food Standards Agency"
  },
  {
    "user": "os-data",
    "repo": "berlin-2014-2021",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "berlin-2014-2021",
    "description": null
  },
  {
    "user": "os-data",
    "repo": "boost-burkina-faso-2005-2015-fr",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "BOOST Burkina-Faso 2005-2015  (fr)",
    "description": null
  },
  {
    "user": "dados-mg",
    "repo": "remuneracao",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Remuneração dos Servidores Ativos do Poder Executivo",
    "description": "Remuneração dos Servidores Ativos do Poder Executivo"
  },
  {
    "user": "fsadata",
    "repo": "all-gpc-transparency-reports",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "All GPC Transparency Reports",
    "description": "The Food Standards Agency publishes all Government procurement card (GPC) transactions. This supports the Government's drive for transparency and the Agency's own core value of openness and transparency."
  },
  {
    "user": "gift-data",
    "repo": "south-africa-provincial-estimates-2018-2019",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "South Africa Provincial",
    "description": "This dataset includes expenditure data as published in the Estimates of Provincial Revenue and Expenditure. Departmental expenditure data in previous financial years have been aligned with the budget and programme structures of departments as they are structured in the current Medium Term Expenditure Framework."
  },
  {
    "user": "fsadata",
    "repo": "cash-management",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Cash Management",
    "description": "A rolling 12 months of cash receipts broken down by month and income stream."
  },
  {
    "user": "gift-data",
    "repo": "south-africa-national-estimates-2015-2019",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "South Africa National Estimates 2015-2019",
    "description": "This dataset includes expenditure data as published in the Estimates of National Expenditure. Departmental expenditure data in previous financial years have been aligned with the budget and programme structures of departments as they are structured in the current Medium Term Expenditure Framework."
  },
  {
    "user": "fsadata",
    "repo": "local-authority-enforcement-monitoring-system-laems-data",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Local Authority Enforcement Monitoring System (LAEMS) Data",
    "description": "A summary of local authority activity in relation to food law enforcement at food establishments. Includes summary statistics on the numbers of inspections conducted and their outcomes."
  },
  {
    "user": "JimmyLamothe",
    "repo": "SumoStats",
    "branch": "master",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Sumo Results",
    "description": "Results of every bout (top two divisions) in Japanese sumo wrestling grand tournaments (honbasho) going back a few years"
  },
  {
    "user": "fsadata",
    "repo": "northern-ireland-phytoplankton-results-2020",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Northern Ireland Phytoplankton Results 2020",
    "description": "Northern Ireland Phytoplankton Results 2020"
  },
  {
    "user": "transparencia-mg",
    "repo": "age7",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": null,
    "description": null
  },
  {
    "user": "fsadata",
    "repo": "directors-and-board-members-expenses",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Directors and Board Members' expenses",
    "description": "Details of the business expenses of the FSA's Directors, its Chair and Board members. The Government is committed to setting new standards for transparency so that the public can more easily see how and where taxpayers’ money is being spent and hold politicians, Government departments and public bodies to account. On this page we are publishing details of the business expenses incurred by the FSA’s Chair, Board members and senior staff."
  },
  {
    "user": "gift-data",
    "repo": "costa-rica-presupuesto-ingresos",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Costa Rica Ingresos",
    "description": "Revenue information of the central government of Costa Rica"
  },
  {
    "user": "gift-data",
    "repo": "costa-rica-presupuesto-egresos",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Costa Rica Egresos",
    "description": "Spending information of the central government of Costa Rica."
  },
  {
    "user": "gift-data",
    "repo": "presupuesto-uy-desde-2011",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Uruguay",
    "description": "Spending information of the central government of Uruguay."
  },
  {
    "user": "aditya-018",
    "repo": "Premier-League-Analysis",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "English Premier League (football)",
    "description": null
  },
  {
    "user": "ece324-2020",
    "repo": "MatchPredictor",
    "branch": "main",
    "path": "datapackage.json",
    "stars": 0,
    "title": "English Premier League (football)",
    "description": null
  },
  {
    "user": "fsadata",
    "repo": "food-and-feed-businesses-subject-to-re-enforced-checks",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Food and feed businesses subject to re-enforced checks",
    "description": "A list of companies exporting to the European Union currently made subject by the European Commission to re-enforced checks (those with the statuses ‘Active’, ‘Imposing checks’ or ‘New’ in the re-enforced checks part of the TRACES system).  It is possible that certain companies who have recently been made subject to checks and have yet to have a check carried out on them may not be on this list."
  },
  {
    "user": "fsadata",
    "repo": "trade-control-expert-system-food-of-non-animal-origin",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Trade Control & Expert System – Food of Non-Animal Origin",
    "description": "High-risk food of non-animal origin and products of animal origin imported into the United Kingdom via approved designated ports."
  },
  {
    "user": "fsadata",
    "repo": "trade-control-expert-system-products-of-animal-origin",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "Trade Control & Expert System – Products of Animal Origin",
    "description": "High-risk food of products of animal origin imported into the United Kingdom via approved designated ports."
  },
  {
    "user": "fsadata",
    "repo": "fsa-workforce-management-information",
    "branch": "gh-pages",
    "path": "datapackage.json",
    "stars": 0,
    "title": "FSA Workforce Management Information",
    "description": "Monthly information on staff numbers and paybill costs in the FSA, both payroll and non-payroll including consultants. Split between full-time equivalents (FTE) and headcount and mapped to standard Civil Service grades. Costs are broken down by salaries, allowances and contributions, or costs for consultancy."
  }
]