In March 2024, Google.com was the leading website in Belgium. The search platform accounted for approximately 14.75 percent of desktop web traffic in Belgium, ahead of second-ranked YouTube.com with 9.47 percent.

Mobile Views of AustinGO Site

In March 2024, Twitch.tv was the leading gaming website in Sweden. During the measured period, the video streaming platform accounted for over 15.95 percent of desktop traffic in the games subcategory. Creative gaming platform roblox.com was ranked second with a 3.86 percent market share of visits.

The Ecommerce Website Platform market has emerged as a crucial component in the digital economy, catering to the needs of businesses seeking to establish an online presence. With the rapid growth of online shopping, these platforms provide comprehensive solutions for retailers, enabling them to create, manage, and s

Statistical analyses and maps representing mean, high, and low water-level conditions in the surface water and groundwater of Miami-Dade County were made by the U.S. Geological Survey, in cooperation with the Miami-Dade County Department of Regulatory and Economic Resources, to help inform decisions necessary for urban planning and development. Sixteen maps were created that show contours of (1) the mean of daily water levels at each site during October and May for the 2000-2009 water years; (2) the 25th, 50th, and 75th percentiles of the daily water levels at each site during October and May and for all months during 2000-2009; and (3) the differences between mean October and May water levels, as well as the differences in the percentiles of water levels for all months, between 1990-1999 and 2000-2009. The 80th, 90th, and 96th percentiles of the annual maximums of daily groundwater levels during 1974-2009 (a 35-year period) were computed to provide an indication of unusually hig ...

Introduction

California Health and Human Services (CalHHS) single and multi-program participation counts with demographics by year and geography, both the Annual (cumulative) and July (point in time) files. The data dictionary for each file is loaded as a resource within the CSV preview page.

Background

The CalHHS Program Data and Dashboard contain participation data related to seven California Health & Human Services agency programs: CalWORKs, CalFresh, In-Home Supportive Services, Foster Care, Medi-Cal (California Medicaid), Women, Infants, & Children, and Developmental Services. Users are able to view these data at the county level or by legislative district level (U.S. Congress, State Assembly, State Senate). Statistics on persons served, persons per case, average grant amount, and basic demographics are presented in both tabular spreadsheets and customizable visualizations by program. In addition to presenting statistics for each program separately, the dashboard also provides data on the number of individuals participating in more than one program at the same time in a given district or county.

Methodology

The Children's Data Network has prepared a methodology document for the process involved in creating this data. If you would like to review the methodology used, please click the link below to visit the CalHHS Records Reconciliation Methodology. https://data.chhs.ca.gov/pages/calhhs-program-counts-methodology

The BOREAS TF-10 team collected tower flux and meteorological data at two sites, a fen and a young jack pine forest, near Thompson, Manitoba, Canada, as part of BOREAS. A preliminary data set was assembled in August 1993 while field testing the instrument packages, and at both sites data were collected from 15-Aug to 31-Aug. The main experimental period was in 1994, when continuous data were collected from 08-Apr to 23-Sept at the fen site. A very limited experiment was run in the spring/summer of 1995, when the fen site tower was operated from 08-Apr to 14-Jun in support of a hydrology experiment in an adjoining, feeder basin. Upon examination of the 1994 data set, it became clear that the behavior of the heat, water, and carbon dioxide fluxes throughout the whole growing season was an important scientific question, and that the 1994 data record was not sufficiently long to capture the character of the seasonal behavior of the fluxes. Thus, the fen site was operated in 1996 in order to collect data from spring melt to autumn freeze-up. Data were collected from 29-Apr to 05-Nov at the fen site. All variables are presented as 30-minute averages.

This folder contains 3 .csv files which contain all the observations for the suite of major ion and nutrient constituents for the Heart River Basin. These files contain the water-quality observations for the statistical summary tables in the report cited in this data release (Tatge and others, 2021).The allsiteinfo.table.csv file can be used to cross reference the sites with the main report (Tatge and others, 2021). Tatge, W.S., Nustad, R.A., and Galloway, J.M., 2021, Evaluation of Salinity and Nutrient Conditions in the Heart River Basin, North Dakota, 1970-2020: U.S. Geological Survey Scientific Investigations Report 2021-XXXX, XX p.

Gypsy and traveller sites in York. For further information please visit City of York Council website. *Please note that the data published within this dataset is a live API link to CYC's GIS server. Any changes made to the master copy of the data will be immediately reflected in the resources of this dataset.The date shown in the "Last Updated" field of each GIS resource reflects when the data was first published.

Categorized library statistical reports for the population group of 100,001 to 250,000.

The Site Averaged AMS Data: 1988 (Betts) Data Set contains the site averaged product of the Portable Automatic Meteorological Station (AMS) data acquired during the 1987-1989 FIFE experiment. Data are in 30 minute time intervals in 1988.

Data, lately, has received a lot of attention from various circles such as government officials, the community, businesses, law enforcement, and also civil society. The reason is actually very simple, because credible data is the key to the quality of development and good governance. Public policy, public services, law enforcement, government performance monitoring, and business opportunities all require credible data. Unfortunately, in practice, data is still often not managed seriously. There are still many cases where there are data that not only have various versions, but often also contradict each other. The One Data Initiative, or commonly called One Data Indonesia, is one of the Indonesian government's initiatives that tries to fix problems in the implementation and management of government data. The development of this initiative is also overseen by the Open Government Indonesia Action Plan. Along with welcoming International Open Data Day which falls on March 4, 2017, As an initiative that is being promoted by the central government regarding data governance reform within the Indonesian government, One Data Indonesia is an initiative that is expected to help the integration of planning, implementation, monitoring, evaluation, and control of development between the central government and the regions, and at the next level is the disclosure of government data that can be used by the community. In addition, the implementation of One Data is also expected to accelerate the implementation of the Electronic-Based Government System (SPBE/E-government) which is being prepared, both in terms of regulations and operational stages, by a number of related agencies involving the Presidential Staff Office, the Ministry of National Development Planning/Bappenas, the Ministry of PAN & RB, the Ministry of Communication and Informatics, and the State Administration Institution. In principle, Satu Data Indonesia strives to encourage better government data governance. Good data governance is highly dependent on quality and consistency in data management. For this reason, Satu Data Indonesia defines good data governance into three main principles. The three main principles that will be encouraged through the One Data Indonesia policy are: (i) a single standard data standard, (ii) one standard metadata, and (iii) data interoperability. With the application of these principles, it is hoped that the One Data policy will be able to realize an accountable, accurate, integrated, up-to-date, and open data management system. These three principles will be implemented through the Presidential Regulation on One Data that we are currently compiling. Currently, the initiation of One Data has reached the finalization stage of the preparation of the Presidential Regulation on One Data Indonesia. If it has been passed, the Presidential Regulation on One Data Indonesia is expected to stimulate efforts to improve government data governance in Indonesia. This means that the use of data will be more structured and will improve the quality of policies and public services in Indonesia as well. In addition, to ensure the smooth implementation later, pilot activities are also being carried out in seven ministries, institutions and also seven local governments. At the central government level, the One Data Initiative is currently being pilotedn in several Ministries, including the Ministry of National Development Planning/Bappenas and the Ministry of Maritime Affairs and Fisheries. At the local government level, the implementation of One Data Indonesia has been piloted in several pilot areas, including DKI Jakarta Province, Demak Regency, Bojonegoro Regency, Semarang City, Banda Aceh City, Mojokerto City, and Pontianak City. There are actually several priorities that can be resolved in order to facilitate the implementation of One Data Indonesia. First, harmonization between the role of Presidential Regulations (Perpres) and Regional Regulations (Perda). Second, finding a clear business process for the implementation of One Data Indonesia both in the Ministries/Institutions of a region. Third, the integration of other Ministries/Institutions data portals in one portal, to facilitate access and use of data by the public. There are several things that are still challenges for the implementation of One Data in Indonesia. One of them is the process of ratifying the Presidential Regulation on One Data Indonesia which requires coordination with various stakeholders which takes a long time. In addition, there are several policies related to statistics, which need to be adjusted to the context of data governance reform within the current government. One of them is Law No. 16 of 1997 concerning Statistics which still defines data only in the form of numbers, so that other forms of data such as spatial data are not included in it. In addition, the reluctance of many parties to integrate cross-sectoral data management within the government is also an obstacle. Where there are various types of data in each sector, but without any integration with other sectors. Finally, one of the things that hinders the implementation of this initiative according to the One Data Indonesia team is the existence of non-tax state revenue (PNPB) collected from data requests. This severely limits access to open data that should be easily and free of charge accessible to the public.

The following datasets are based on the children and youth (under age 21) beneficiary population and consist of aggregate Mental Health Service data derived from Medi-Cal claims, encounter, and eligibility systems. These datasets were developed in accordance with California Welfare and Institutions Code (WIC) § 14707.5 (added as part of Assembly Bill 470 on 10/7/17). Please contact BHData@dhcs.ca.gov for any questions or to request previous years’ versions of these datasets. Note: The Performance Dashboard AB 470 Report Application Excel tool development has been discontinued. Please see the Behavioral Health reporting data hub at https://behavioralhealth-data.dhcs.ca.gov/ for access to dashboards utilizing these datasets and other behavioral health data.

According to a survey conducted by Rakuten Insight in Thailand, ** percent of the respondents purchased clothing, apparel, and fashion accessories online. In comparison, only five percent of the surveyed respondents bought alcoholic beverages.

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 398 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2018 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification. Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Four previous assessments have been conducted (2005, 2008, 2012, and 2015/2016). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

This dataset contains statistics on the number of tourist arrivals from different countries (USA, Canada, UK, Germany) on a monthly basis for the year 2024.

Around ** percent of search engine referrals in Saudi Arabia in December 2024 were through Google. In comparison, **** percent of the referrals in the kingdom in the same period were through Bing.

Jordan Number of Visitors: Shubak Castle: Residents data was reported at 0.000 Person in Dec 2017. This records a decrease from the previous number of 20.000 Person for Nov 2017. Jordan Number of Visitors: Shubak Castle: Residents data is updated monthly, averaging 113.000 Person from Jan 2006 (Median) to Dec 2017, with 144 observations. The data reached an all-time high of 1,827.000 Person in Apr 2007 and a record low of 0.000 Person in Dec 2017. Jordan Number of Visitors: Shubak Castle: Residents data remains active status in CEIC and is reported by Ministry of Tourism and Antiquities. The data is categorized under Global Database’s Jordan – Table JO.Q009: Number of Visitors: by Tourist Sites.

The United States Environmental Protection Agency (EPA), in cooperation with the States, biennially collects information regarding the generation, management, and final disposition of hazardous wastes regulated under the Resource Conservation and Recovery Act of 1976 (RCRA), as amended. Collection, validation and verification of the Biennial Report (BR) data is the responsibility of RCRA authorized states and EPA regions. EPA does not modify the data reported by the states or regions. Any questions regarding the information reported for a RCRA handler should be directed to the state agency or region responsible for the BR data collection. BR data are collected every other year (odd-numbered years) and submitted in the following year. The BR data are used to support regulatory activities and provide basic statistics and trend of hazardous waste generation and management.

BR data is available to the public through 3 mechanisms. 1. The RCRAInfo website includes data collected from 2001 to present-day (https://rcrainfo.epa.gov/rcrainfoweb/action/main-menu/view). Users of the RCRAInfo website can run queries and output reports for different data collection years at this site. All BR data collected from 2001 to present-day is stored in RCRAInfo, and is accessible through this website. 2. BR data files collected from 1999 - present day may be downloaded directory in zip file format from (https://rcrapublic.epa.gov/rcra-public-export/?outputType=Fixed or https://rcrapublic.epa.gov/rcra-public-export/?outputType=CSV). 3. Historical data collected prior to 1999 may be ordered on CD. Please see contact information in this metadata file to order historical BR data. BR data are typically published in December of the year following their collection. Data must be received by authorized states and EPA regions if a state is not authorized to implement the BR program by March 1st of the year following collection, and are usually published in December of the year following collection. For example, data collected in 2001 would be received by states and EPA regions by March 1, 2002 and states and EPA regions compile the BR data submitted by facilities and load the state data set into RCRAInfo, the system which EPA Headquarters (HQ) manage. Then EPA HQ published the data files around December 2002. Additional information regarding the biennial report data is available here: https://rcrapublic.epa.gov/rcra-public-export/rcrainfo_flat_file_documentation_v5.pdf and here: https://www.epa.gov/hwgenerators/biennial-hazardous-waste-report.

Please note that the update frequency field for this data set indicates annual, but that the true update period is biennial (every other year). There is no selection option for biennial for the update frequency field.