This dataset contains information about daily weather statistic

This graph shows the typical daily online activities of internet users in the United States as of *************. During the survey period, ** percent of respondents checked the weather online on a daily basis. E-mail was the most popular daily internet activity.

These rates are the daily secondary market quotation on the most recently auctioned Treasury Bills for each maturity tranche (4-week, 13-week, 26-week, and 52-week) that Treasury currently issues new Bills. Market quotations are obtained at approximately 3:30 PM each business day by the Federal Reserve Bank of New York. The Bank Discount rate is the rate at which a Bill is quoted in the secondary market and is based on the par value, amount of the discount and a 360-day year. The Coupon Equivalent, also called the Bond Equivalent, or the Investment Yield, is the bill's yield based on the purchase price, discount, and a 365- or 366-day year. The Coupon Equivalent can be used to compare the yield on a discount bill to the yield on a nominal coupon bond that pays semiannual interest.

The total amount of data created, captured, copied, and consumed globally is forecast to increase rapidly, reaching *** zettabytes in 2024. Over the next five years up to 2028, global data creation is projected to grow to more than *** zettabytes. In 2020, the amount of data created and replicated reached a new high. The growth was higher than previously expected, caused by the increased demand due to the COVID-19 pandemic, as more people worked and learned from home and used home entertainment options more often. Storage capacity also growing Only a small percentage of this newly created data is kept though, as just * percent of the data produced and consumed in 2020 was saved and retained into 2021. In line with the strong growth of the data volume, the installed base of storage capacity is forecast to increase, growing at a compound annual growth rate of **** percent over the forecast period from 2020 to 2025. In 2020, the installed base of storage capacity reached *** zettabytes.

Please note, this dataset has been superseded by a newer version (see below). Users should not use this version except in rare cases (e.g., when reproducing previous studies that used this version). The Global Historical Climatology Network - Daily (GHCN-Daily) dataset addresses the need for historical daily records over global land areas. Like its monthly counterpart (GHCN-Monthly), GHCN-Daily is a composite of climate records from numerous sources that were merged and then subjected to a suite of quality assurance reviews. The meteorological elements measured for the data set include, but are not limited to, daily maximum and minimum temperature, temperature at the time of observation, precipitation (i.e., rainfall and snow water equivalent), snowfall and snow depth. GHCN-Daily serves as the official archive for daily data from the Global Climate Observing System (GCOS) Surface Network (GSN) and is particularly well suited for monitoring and assessment activities related to the frequency and magnitude of extremes. Sources for the GHCN-Daily data set include, but are not limited, to U.S. Cooperative Summary of the Day, U.S. Fort data, U.S. Climate Reference Network, Community Collaborative Rain, Hail and Snow Network, and numerous international sources. The dataset contains measurements from over 75,000 stations worldwide,about two thirds of which are for precipitation measurement only. Approximately 8500 are regularly updated with observations from within the last month. While most of these sites report precipitation, daily maximum and minimum temperatures are available at more than 25,000 of them, and over 24,000 contain records of snowfall and/or snow depth. The process of integrating data from multiple sources into the GHCN-Daily dataset takes place in three steps: screening the source data for stations whose identity is unknown or questionable; classifying each station in a source dataset either as one that is already represented in GHCN-Daily or as a new site; and mingling the data from the different sources. The first two of these steps are performed whenever a new source dataset or additional stations become available, while the actual mingling of data is part of the automated processing that creates GHCN-Daily on a regular basis. GHCN-Daily data are subject to a suite of quality assurance checks. The checks consist of several types of carefully evaluated tests that detect duplicated data, climatological outliers, and various inconsistencies (internal, temporal, and spatial). Manual review of random samples of flagged values was used to set the threshold for each procedure such that the tests false-positive rate is minimized. In addition, the tests are performed in a deliberate sequence in an effort to enhance the performance of the later checks by detecting errors with the checks applied earlier in the sequence.

Globally the average user spends 52 minutes on TikTok every day. About 90% of their worldwide users access TikTok on a daily basis.

In 2016, non-interpretive streamflow statistics were compiled for streamgages located throughout the Nation and stored in the StreamStatsDB database for use with StreamStats and other applications. Two previously published USGS computer programs that were designed to help calculate streamflow statistics were updated to better support StreamStats as part of this effort. These programs are named “GNWISQ” (Get National Water Information System Streamflow (Q) files) and “QSTATS” (Streamflow (Q) Statistics). Statistics for 20,438 streamgages that had 1 or more complete years of record during water years 1901 through 2015 were calculated from daily mean streamflow data; 19,415 of these streamgages were within the conterminous United States. About 89 percent of the 20,438 streamgages had 3 or more years of record, and 65 percent had 10 or more years of record. Drainage areas of the 20,438 streamgages ranged from 0.01 to 1,144,500 square miles. The magnitude of annual average streamflow yields (streamflow per square mile) for these streamgages varied by almost six orders of magnitude, from 0.000029 to 34 cubic feet per second per square mile. About 64 percent of these streamgages did not have any zero-flow days during their available period of record. The 18,122 streamgages with 3 or more years of record were included in the StreamStatsDB compilation so they would be available via the StreamStats interface for user-selected streamgages.

ERA5 is the fifth generation ECMWF reanalysis for the global climate and weather for the past 8 decades. Data is available from 1940 onwards. ERA5 replaces the ERA-Interim reanalysis. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset using the laws of physics. This principle, called data assimilation, is based on the method used by numerical weather prediction centres, where every so many hours (12 hours at ECMWF) a previous forecast is combined with newly available observations in an optimal way to produce a new best estimate of the state of the atmosphere, called analysis, from which an updated, improved forecast is issued. Reanalysis works in the same way, but at reduced resolution to allow for the provision of a dataset spanning back several decades. Reanalysis does not have the constraint of issuing timely forecasts, so there is more time to collect observations, and when going further back in time, to allow for the ingestion of improved versions of the original observations, which all benefit the quality of the reanalysis product. This catalogue entry provides post-processed ERA5 hourly pressure-level data aggregated to daily time steps. In addition to the data selection options found on the hourly page, the following options can be selected for the daily statistic calculation:

The daily aggregation statistic (daily mean, daily max, daily min) The sub-daily frequency sampling of the original data (1 hour, 3 hours, 6 hours) The option to shift to any local time zone in UTC (no shift means the statistic is computed from UTC+00:00)

Users should be aware that the daily aggregation is calculated during the retrieval process and is not part of a permanently archived dataset. For more details on how the daily statistics are calculated, including demonstrative code, please see the documentation. For more details on the hourly data used to calculate the daily statistics, please refer to the ERA5 hourly pressure-level data catalogue entry and the documentation found therein.

A study of media consumption in the United States concluded in August 2024 found that Generation Z respondents spent the largest number of hours daily consuming media - *** hours. The silent generation spent less than **** hours on daily media consumption.

Long Term Real Rate Average: The Long-Term Real Rate Average is the unweighted average of bid real yields on all outstanding TIPS with remaing maturities of more than 10 years and is intended as a proxy for long-term real rates.

Daily Exports: ytd: Australia data was reported at 7,498.000 NZD mn in 15 Dec 2021. This records an increase from the previous number of 7,472.000 NZD mn for 14 Dec 2021. Daily Exports: ytd: Australia data is updated daily, averaging 4,043.000 NZD mn from Jan 2015 (Median) to 15 Dec 2021, with 2541 observations. The data reached an all-time high of 9,063.000 NZD mn in 31 Dec 2018 and a record low of 4.000 NZD mn in 01 Jan 2021. Daily Exports: ytd: Australia data remains active status in CEIC and is reported by Stats NZ. The data is categorized under Global Database’s New Zealand – Table NZ.JA038: Daily Trade Statistics: ytd (Discontinued).

The downloadable ZIP file contains a Microsoft Access Database. Daily climatological data from National Weather Service (NWS) stations for Idaho from July 1892 - May 2008. For information on how these data were collected please see the NWS Cooperative Observer Program: https://www.weather.gov/coop/.No responsibility is assumed by Idaho State Climate Services in the use of these data.These data were contributed to INSIDE Idaho at the University of Idaho Library in 1999.

South Korea Daily Box Office: All Films: Gross Sales data was reported at 4,604,355,870.000 USD in 18 May 2025. This records a decrease from the previous number of 5,602,722,690.000 USD for 17 May 2025. South Korea Daily Box Office: All Films: Gross Sales data is updated daily, averaging 2,638,034,689.500 USD from Nov 2003 (Median) to 18 May 2025, with 7859 observations. The data reached an all-time high of 17,814,095,588.000 USD in 04 Aug 2018 and a record low of 91,910,370.000 USD in 11 Jan 2021. South Korea Daily Box Office: All Films: Gross Sales data remains active status in CEIC and is reported by Korea Film Council. The data is categorized under Global Database’s South Korea – Table KR.H: Daily Box Office Statistics. [COVID-19-IMPACT]

Colorado Department of Public Health and Environment COVID19 Daily State Statistics contains published state-level data and statistics on the following indicators: number of cases, people tested, deaths among cases, deaths due to COVID-19 (death certificate), rate of COVID-19 infection per 100,000 persons, COVID-19 hospitalizations, counties with cases, and number of outbreaks. This dataset represents a cumulative repository of daily published data.

Analysis of ‘Youth statistics: Daily use of the bicycle as a means of transport’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/https-opendata-euskadi-eus-catalogo-estadisticas-sobre-juventud-uso-diario-de-la-bicicleta-como-medio-de-transporte- on 18 January 2022.

--- Dataset description provided by original source is as follows ---

The Basque Youth Observatory is an instrument of the Basque Government that provides a comprehensive and permanent overview of the situation and evolution of the youth world, allowing an assessment of the impact of the actions carried out in the CAPV by the different administrations in the field of youth.The Basque Youth Observatory regularly publishes more than 100 statistical indicators that can be consulted in euskadi.eus, together with other research and reports. Statistics are provided in various formats (csv, excel).

--- Original source retains full ownership of the source dataset ---

There are currently over 1.5 billion active users on TikTok worldwide.

Local Climatological Data (LCD) are summaries of climatological conditions from airport and other prominent weather stations managed by NWS, FAA, and DOD. The product includes hourly observations and associated remarks, and a record of hourly precipitation for the entire month. Also included are daily summaries summarizing temperature extremes, degree days, precipitation amounts and winds. The tabulated monthly summaries in the product include maximum, minimum, and average temperature, temperature departure from normal, dew point temperature, average station pressure, ceiling, visibility, weather type, wet bulb temperature, relative humidity, degree days (heating and cooling), daily precipitation, average wind speed, fastest wind speed/direction, sky cover, and occurrences of sunshine, snowfall and snow depth. The source data is global hourly (DSI 3505) which includes a number of quality control checks.

The average adult TikTok user in America spends 33 minutes per day on the app.

New Zealand Daily Exports: United States data was reported at 3,852.000 NZD mn in 19 Aug 2020. This records an increase from the previous number of 3,828.000 NZD mn for 18 Aug 2020. New Zealand Daily Exports: United States data is updated daily, averaging 1,769.000 NZD mn from Jan 2015 (Median) to 19 Aug 2020, with 1205 observations. The data reached an all-time high of 3,852.000 NZD mn in 19 Aug 2020 and a record low of 12.000 NZD mn in 01 Feb 2020. New Zealand Daily Exports: United States data remains active status in CEIC and is reported by Statistics New Zealand. The data is categorized under Global Database’s New Zealand – Table NZ.JA001: Daily Trade Statistics.

Statistical table of the number of cases by disease name: severe acute respiratory syndrome coronavirus 2 (COVID-19), date type: diagnosis date, case type: confirmed case, and infection source: whether it is imported from abroad, by region, age group, and gender since 2020. This dataset is updated once daily according to the fixed schedule of the system, presenting statistical information as of the previous day. Currently, most imported cases of COVID-19 are diagnosed and isolated for treatment at airports or centralized quarantine facilities, so their county and city information is not indicated.