The Global Fire Emissions Indicators, Country-Level Tabular Data: 1997-2015 contains country tabulations from 1997 to 2015 for the total area burned (hectares) and total carbon content (tons). The annual total area burned is for all fire types per country. There are two groups of total carbon content (TCC), annual totals for all six fire types per country and annual totals for each of six fire types per country which include Agricultural, Boreal, Tropical Deforestation, Peat, Savanna, and Temperate forest fires.

The datatablesview extension for CKAN enhances the display of tabular datasets within CKAN by integrating the DataTables JavaScript library. As a fork of a previous DataTables CKAN plugin, this extension aims to provide improved functionality and maintainability for presenting data in a user-friendly and interactive tabular format. This tool focuses on making data more accessible and easier to explore directly within the CKAN interface. Key Features: Enhanced Data Visualization: Transforms standard CKAN dataset views into interactive tables using the DataTables library, providing a more engaging user experience compared to plain HTML tables. Interactive Table Functionality: Includes features such as sorting, filtering, and pagination within the data table, allowing users to easily navigate and analyze large datasets directly in the browser. Improved Data Accessibility: Makes tabular data more accessible to a wider range of users by providing intuitive tools to explore and understand the information. Presumed Customizable Appearance: Given that it is based on DataTables, users will likely be able to customize the look and feel of the tables through DataTables configuration options (note: this is an assumption based on standard DataTables usage and may require coding). Use Cases (based on typical DataTables applications): Government Data Portals: Display complex government datasets in a format that is easy for citizens to search, filter, and understand, enhancing transparency and promoting data-driven decision-making. For example, presenting financial data, population statistics, or environmental monitoring results. Research Data Repositories: Allow researchers to quickly explore and analyze large scientific datasets directly within the CKAN interface, facilitating data discovery and collaboration. Corporate Data Catalogs: Enable business users to easily access and manipulate tabular data relevant to their roles, improving data literacy and enabling data-informed business strategies. Technical Integration (inferred from CKAN extension structure): The extension likely operates by leveraging CKAN's plugin architecture to override the default dataset view for tabular data. Its implementation likely uses CKAN's templating system to render datasets using DataTables' JavaScript and CSS, enhancing data-viewing experience. Benefits & Impact: By implementing the datatablesview extension, organizations can improve the user experience when accessing and exploring tabular datasets within their CKAN instances. The enhanced interactivity and data exploration features can lead to increased data utilization, improved data literacy, and more effective data-driven decision-making within organizations and communities.

A computerized data set of demographic, economic and social data for 227 countries of the world. Information presented includes population, health, nutrition, mortality, fertility, family planning and contraceptive use, literacy, housing, and economic activity data. Tabular data are broken down by such variables as age, sex, and urban/rural residence. Data are organized as a series of statistical tables identified by country and table number. Each record consists of the data values associated with a single row of a given table. There are 105 tables with data for 208 countries. The second file is a note file, containing text of notes associated with various tables. These notes provide information such as definitions of categories (i.e. urban/rural) and how various values were calculated. The IDB was created in the U.S. Census Bureau''s International Programs Center (IPC) to help IPC staff meet the needs of organizations that sponsor IPC research. The IDB provides quick access to specialized information, with emphasis on demographic measures, for individual countries or groups of countries. The IDB combines data from country sources (typically censuses and surveys) with IPC estimates and projections to provide information dating back as far as 1950 and as far ahead as 2050. Because the IDB is maintained as a research tool for IPC sponsor requirements, the amount of information available may vary by country. As funding and research activity permit, the IPC updates and expands the data base content. Types of data include: * Population by age and sex * Vital rates, infant mortality, and life tables * Fertility and child survivorship * Migration * Marital status * Family planning Data characteristics: * Temporal: Selected years, 1950present, projected demographic data to 2050. * Spatial: 227 countries and areas. * Resolution: National population, selected data by urban/rural * residence, selected data by age and sex. Sources of data include: * U.S. Census Bureau * International projects (e.g., the Demographic and Health Survey) * United Nations agencies Links: * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/08490

The Near Infrared Mapping Spectrometer (NIMS) on the Galileo spacecraft took unique data of Comet Shoemaker-Levy/9's impact with Jupiter. A preliminary analysis of this data is presented in this submission to the Planetary Data System (PDS). It consists of nine small tables with detached labels and documentation.

This dataset includes the input (raw survey data, computational mesh, hydrologic boundary conditions) and output data for a 2-dimensional hydraulic and sediment transport model of the lower Snow River flood plain near Seward, Alaska. Four outburst flood scenarios were simulated, including 3 historical floods and one hypothetical larger flood. The methods of deriving these datasets and using them to calculate scour are described in the associated USGS Scientific Investigations Report "Recent history of glacial outburst floods, analysis of channel changes, and development of a 2-dimensional flow and sediment transport model of the Snow River near Seward, Alaska".

Since its inception in 1920, the Alberta Geological Survey (AGS) has drilled several thousand boreholes across the province. Most were drilled only into the unconsolidated sediments overlying the top of bedrock. In 2010, AGS staff began a project to systematically compile all of the borehole log information into a database. This Digital Data product and its companion Open File Report, OFR 2014-06 are the interim results of this initiative. The dataset comprises three tables: Sources.txt, Boreholes.txt and Intervals.txt, as well as metadata. The Sources table gives summary information about the AGS project for which each borehole was drilled. The Boreholes table gives summary information about each borehole, such as location, drilling method, date, and total depth of the hole. The Intervals table gives descriptive geological information about each distinct geological horizon encountered in the borehole, including lithology and colour of the material. The tables have primary keys on them so they may be loaded into a relational database, GIS system, or geological modelling program. This dataset is an interim release of 266 boreholes.

UNI-CEN Standardized Census Data Tables contain Census data that have been reformatted into a common table format with standardized variable names and codes. The data are provided in two tabular formats for different use cases. "Long" tables are suitable for use in statistical environments, while "wide" tables are commonly used in GIS environments. The long tables are provided in Stata Binary (dta) format, which is readable by all statistics software. The wide tables are provided in comma-separated values (csv) and dBase 3 (dbf) formats with codebooks. The wide tables are easily joined to the UNI-CEN Digital Boundary Files. For the csv files, a .csvt file is provided to ensure that column data formats are correctly formatted when importing into QGIS. A schema.ini file does the same when importing into ArcGIS environments. As the DBF file format supports a maximum of 250 columns, tables with a larger number of variables are divided into multiple DBF files. For more information about file sources, the methods used to create them, and how to use them, consult the documentation at https://borealisdata.ca/dataverse/unicen_docs. For more information about the project, visit https://observatory.uwo.ca/unicen.

Macau Gaming: Number of Gaming Table data was reported at 6,598.000 Unit in Sep 2018. This records an increase from the previous number of 6,588.000 Unit for Jun 2018. Macau Gaming: Number of Gaming Table data is updated quarterly, averaging 5,302.000 Unit from Mar 2005 (Median) to Sep 2018, with 55 observations. The data reached an all-time high of 6,598.000 Unit in Sep 2018 and a record low of 1,226.000 Unit in Mar 2005. Macau Gaming: Number of Gaming Table data remains active status in CEIC and is reported by Gaming Inspection and Coordination Bureau. The data is categorized under Global Database’s Macau SAR – Table MO.Q019: Number of Casinos and Gaming Tables.

95% CL upper limits on the product of the production cross section $\sigma(pp\to N_e)$ and the branching ratio $B(N_e \to...

Dataset

This dataset was created by nyk510

Released under CC0: Public Domain

Contents

flow background with lower flow systematic uncertainty Au+Au 20-60%, 3<p_{\text{T}}^{(t)}<4 GeV/c, 1<p_{\text{T}}^{(a)}<2 GeV/c, slice 5

flow background with upper flow systematic uncertainty Au+Au 20-60%, 4

This dataset is a compilation of data obtained from the Idaho Department of Water Quality, the Idaho Department of Water Resources, and the Water Quality Portal. The 'SiteID' table catalogues organization-specific identification numbers assigned to each monitoring location.

sigma vs phis pt=0.51 GeV/c

NoSQL Database Market was valued at $9.38 Billion in 2023, and is projected to reach $USD 86.48 Billion by 2032, at a CAGR of 28% from 2023 to 2032.

City of Austin Open Data Terms of Use https://data.austintexas.gov/stories/s/ranj-cccq

This is a slimmed down view of Repeat Offender Registrations for the purposes of tabular display.

Link to complete dataset: https://data.austintexas.gov/City-Government/Repeat-Offender-Registrations/86z9-i27i

Crime Survey for England and Wales (CSEW) estimates, by each combination of offence group, age, sex, and important demographic characteristics.

Retail Sales - Table 620-67001 : Total Retail Sales

According to the EITI Standard 5.3.b: "Summary data from each EITI Report should be submitted electronically to the International Secretariat according to the standardised reporting format provided by the International Secretariat" This template should be completed in full and submitted by email by the national secretariat to the International EITI Secretariat following the publication of the report. The data will be used to populate the global EITI data repository, available on the international EITI website.

NB: The data available on ResourceData is republished from the EITI API and covers one section of the Summary Data, Part 3 which is comprised of data on government revenues per revenue stream and company.

Notes for consideration:

Disclaimer: The EITI Secretariat advice that users consult the original reports for detailed information. Where figures are not available in US dollars, the annual average exchange rate is used. Any questions regarding the data collection and Summary Data methodology can be directed to the EITI Secretariat: data@eiti.org or by visiting eiti.org/summary-data

According to the EITI Standard 5.3.b: "Summary data from each EITI Report should be submitted electronically to the International Secretariat according to the standardised reporting format provided by the International Secretariat" This template should be completed in full and submitted by email by the national secretariat to the International EITI Secretariat following the publication of the report. The data will be used to populate the global EITI data repository, available on the international EITI website.

NB: The data available on ResourceData is republished from the EITI API and covers one section of the Summary Data, Part 3 which is comprised of data on government revenues per revenue stream and company.

Notes for consideration:

Disclaimer: The EITI Secretariat advice that users consult the original reports for detailed information. Where figures are not available in US dollars, the annual average exchange rate is used. Any questions regarding the data collection and Summary Data methodology can be directed to the EITI Secretariat: data@eiti.org or by visiting eiti.org/summary-data