Overview

Streaming Services Statistics: Streaming services have transformed the entertainment landscape, revolutionizing how people consume content.

The advent of high-speed internet and the proliferation of smart devices have fueled the growth of these platforms, offering a wide array of movies, TV shows, music, and more, at the viewers' convenience.

This introduction provides an overview of key statistics that shed light on the impact, trends, and challenges within the streaming industry.

The statistic shows the number of users of streaming services in Germany in 2011. In 2011, around 7.9 million users in Germany used services offered by video streaming platforms such as YouTube. 2.4 million users used official websites to stream content, whereas 2.5 million used movie streaming sites such as movie2k.

In March 2024, YouTube.com was the leading video streaming website in the United Kingdom. During the measured period, the video platform accounted for over 71.7 percent of desktop traffic in the arts & entertainment - TV, movies, and streaming subcategory. Netflix was ranked second with an 6.52 percent market share.

When asked about video live streaming sites usage, ** percent of German respondents answer "Yes, I broadcast video livestreams". This online survey was conducted in 2023, among ***** consumers.

This dataset represents predictions made to individual, local NHDPlusV2 stream segments. Attributes were calculated for every local NHDPlusV2 stream segment. (See Supplementary Info for Glossary of Terms). These predictions were made to provide estimates of reference-condition stream temperatures in support of the 2008-2009 and 2013-2014 (forthcoming) National Rivers and Streams Assessments. These predictions were based on a set of published models (Hill et al. 2013; http://www.journals.uchicago.edu/doi/abs/10.1899/12-009.1). From Hill et al. (2013): "We modeled 3 ecologically important elements of the thermal regime: mean summer, mean winter, and mean annual stream temperature. These models used a set of least-disturbed USGS stations and sites to model stream temperatures from a set of landscape metrics. To build reference-condition models, we used daily mean ST data obtained from several thousand US Geological Survey temperature sites distributed across the conterminous USA and iteratively modeled ST with Random Forests to identify sites in reference condition. These data are summarized to produce local stream segment-level metrics as a continuous data type.

Spatial data layers of stream crossing point locations, cross-section polyline, centerline polyline, and bank polyline shapefiles have been developed for selected stream crossings in the Squannacook River basin, Massachusetts. The spatial data and calculated attribute values are model input data for U.S. Army Corps of Engineer’s Hydrologic Engineering Center’s River Analysis System (HEC-RAS) hydraulic models. The stream crossing point locations were derived from the North Atlantic Aquatic Connectivity Collaboration (NAACC) database. The stream channel cross-sections, centerlines, and bank polylines were derived using automated methods in a Geographic Information System (GIS) using ArcGIS Pro and Python programming language. The polyline shapefiles are Z-enabled and have elevation data derived from Light Detection and Ranging (lidar) Digital Elevation Models (DEM) for Z-coordinate vertex values in units of feet. The polyline shapefiles are also M-enabled and have profile stationing values for the M-coordinate vertex values in units of feet. The automated GIS processes delineated a series of stream channel cross-sections along lidar-derived stream centerlines and have stream channel bathymetry estimated from Massachusetts bankfull channel geometry equations (Bent and Waite, 2013). The bankfull equations were also used to derive stream bank polylines. This data release contains the following shapefiles in the Spatial_Data_Layers.zip file: 1. Stream_Crossing_Locations.shp - Esri point shapefile derived from the NAACC stream crossing database. 2. Stream_Crossing_Watersheds.shp - Esri polygon shapefile of lidar-derived watershed boundaries that estimate the upstream drainage area for each stream crossing location. 3. Model_Cross_Sections.shp - Esri Z- and M-enabled polyline shapefile of the cross-section data used for hydraulic model input. 4. Model_Flowpaths.shp - Esri Z- and M-enabled polyline shapefile of the stream centerline and stream bank line data used for hydraulic model input. References: Bent, G.C., and Waite, A.M., 2013, Equations for estimating bankfull channel geometry and discharge for streams in Massachusetts: U.S. Geological Survey Scientific Investigations Report 2013–5155, 62 p., http://dx.doi.org/10.3133/sir20135155

Introduction

Online Video Platform Statistics: An Online Video Platform (OVP) is a crucial digital infrastructure for hosting, managing, and delivering video content online.

It facilitates content uploading, organization, and playback across various devices with adaptive streaming capabilities.

OVPs support monetization through advertising, subscriptions, or pay-per-view models alongside robust analytics for tracking viewer engagement and performance metrics.

They offer customization options for branding and player interfaces, ensuring a seamless user experience. Security features like encryption and DRM safeguard content, while integration with other platforms and APIs enables extended functionality and automation.

OVPs also cater to live streaming needs, making them versatile tools for media, entertainment, education, and corporate sectors seeking reliable video distribution solutions.

Each year from 2021 to 2024, teams from the U.S. Geological Survey and the Virginia Polytechnic Institute and State University (Virginia Tech) studied 30 streams with a targeted gradient of land use and conservation practices across the Chesapeake Bay Watershed. The four years of the study cover the following geographic areas and land use characteristics (generally referred to as typologies in associated data sets): Shenandoah Valley and Ridge pasture Delmarva row crop Pennsylvania and Maryland Piedmont mixed agriculture Maryland-Washington, DC-Virginia developed Piedmont The data here provide site names and basic identifiers that are commonly used in the many data releases associated with the larger study and serve as a key to match site ID with locations and data. Specific site location is limited to a HUC12 scale due to requests of privacy from landowners who granted access and permission.

This is a MD iMAP hosted service layer. Find more information at http://imap.maryland.gov. The sample sites are color coded according to the Benthic Index of Biotic Integrity (BIBI) scores. Anything below a BIBI score of 3.0 is red (Poor) - 3.0-3.9 is yellow (Fair) - and 4.0-5.0 is green (Good).Begun as a pilot in 2000 - Maryland Stream Waders is a statewide volunteer stream monitoring program managed by Maryland Department of Natural Resources (DNR) - Monitoring and Nontidal Assessment Division. Stream Waders is the volunteer component of the Maryland Biological Stream Survey (MBSS).Goals of Stream Waders are: to increase the density of sampling sites for use in stream and watershed assessments; to improve stream stewardship ethics and encourage local action to improve watershed management; to educate the local community about the relationship between land use and stream quality; and to provide quality assured information on stream quality to state - local - and federal agencies - environmental organizations - and others.Stream Waders is designed to be seamless with the MBSS and several other stream sampling programs in Maryland. MBSS samples are collected at the watershed level (8-digit Hydrologic Unit Code (HUC); about 70 square miles each) - while Stream Waders volunteers sample at a smaller scale subwatersheds at the 12-digit HUC; about 8 square miles each). Thus - Stream Waders data should help 'fill the gaps' left in watershed areas not sampled by MBSS. Stream Waders sample - for the most part - in the sameoverall watersheds each year where MBSS crews sample. Last Updated: 09/2012 Feature Service Layer Link: https://mdgeodata.md.gov/imap/rest/services/Hydrology/MD_StreamHealth/FeatureServer ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

This dataset provides details from stream metabolism models for 11 stream sites in Connecticut that were monitored during 2015-2018 by the U.S. Geological Survey. Metabolism was estimated at each site using the streamMetabolizer package in the R computing environment. When data were collected for multiple years at a site, stream metabolism was separately estimated for each year. For each site and for each year, three files are provided; (1) the input data file, which includes continuous dissolved oxygen, solar time, water temperature, light, and stream depth, (2) the output data file, containing the daily metabolism estimates, and (3) a site-specific html file that serves as a guide for running the streamMetabolizer package for each site. File names include an abbreviated name for the site (The site 'short_name') to distinguish the files associated with each field site. Final metabolism models were run using a fixed value for K600, which is the mean reaeration rate coefficient scaled to a Schmidt number of 600; this fixed value was determined for each site based on initial model calibration runs. In addition to the stream metabolism files, a comma-delimited file containing basic site characteristics is included for reference. This site file includes the USGS site identifier, the site 'short name', the complete USGS site name, and the latitude and longitude of the sampling reach.

The Wadeable Streams Assessment (WSA) is a first-ever statistically-valid survey of the biological condition of small streams throughout the U.S. EPA worked with the states to conduct the assessment in 2000-2004. 1,392 sites were selected at random to represent the condition of all streams in regions that share similar ecological characteristics. Participants used the same standardized methods at all sites, to ensure results that are comparable across the nation.

We asked Chinese consumers about most used video live streaming sites by brand and found that bilibili takes the top spot, while Trovo Live is at the other end of the ranking.These results are based on a representative online survey conducted in 2023 among 3,445 consumers in China.

As of March 2021, the average daily browsing time per visitors from China of the eSports and game streaming site Zhanqi.tv amounted to *** minutes and ** seconds. Twitch, Youtube, Facebook, and Mixer are the platforms having the highest number of eSports viewership outside China.

This layer indicates the location of the observed stream temperature records used for the NorWeST database summaries. NorWeST summer stream temperature scenarios were developed for all rivers and streams in the western U.S. from the greater than 20,000 stream sites in the NorWeST database where mean August stream temperatures were recorded. The resulting dataset includes stream lines (NorWeST_PredictedStreams) and associated mid-points NorWest_TemperaturePoints) representing 1 kilometer intervals along the stream network. Stream lines were derived from the 1:100,000 scale NHDPlus dataset (USEPA and USGS 2010; McKay et al. 2012). Shapefile extents correspond to NorWeST processing units, which generally relate to 6 digit (3rd code) hydrologic unit codes (HUCs) or in some instances closely correspond to state borders. The line and point shapefiles contain identical modeled stream temperature results. The two feature classes are meant to complement one another for use in different applications. In addition, spatial and temporal covariates used to generate the modeled temperatures are included in the attribute tables at https://www.fs.usda.gov/rm/boise/AWAE/projects/NorWeST/ModeledStreamTemperatureScenarioMaps.shtml. The NorWeST NHDPlusV1 processing units include: Salmon, Clearwater, Spokoot, Missouri Headwaters, Snake-Bear, MidSnake, MidColumbia, Oregon Coast, South-Central Oregon, Upper Columbia-Yakima, Washington Coast, Upper Yellowstone-Bighorn, Upper Missouri-Marias, and Upper Green-North Platte. The NorWeST NHDPlusV2 processing units include: Lahontan Basin, Northern California-Coastal Klamath, Utah, Coastal California, Central California, Colorado, New Mexico, Arizona, and Black Hills.

The United States Geological Survey Virginia and West Virginia Water Science Center (USGS VA-WV-WSC) and Fairfax County assembled this data release in support of ongoing USGS VA-WV-WSC monitoring and evaluations of stream conditions overtime of two previously restored, urban-suburban streams in Reston, Virginia – Snakeden Branch and The Glade. The aquatic benthic macroinvertebrate, fish, and habitat sampling and surveying were conducted on the same eight, 100-meter stream reaches (four reaches in Snakeden Branch and four reaches in The Glade) by the USGS VA-WV-WSC. Aquatic benthic macroinvertebrate sampling and physical habitat surveys were conducted in both Spring and Fall of 2021 and a fish survey was conducted in the Summer 2021. Data provided are of five general types: 1. Site locations and characteristics for each of the eight sampling and surveying sites within the two monitored streams; 2. Benthic macroinvertebrate identifications and analytical laboratory results; 3. Fairfax County benthic macroinvertebrate Index of Biotic Integrity (IBI) scores and individual metric results; 4. Fish assemblages, and; 5. Physical habitat measurements. The metadata file “Metadata_for_Reston_Ecological_Data.xml” contains important information pertaining to the attributes of each entity of data, field and laboratory methods, and caveats associated with the Fall benthic macroinvertebrate IBI and metric scores. The "README.txt" file contains a description of each file contained in this data release. This database contains the aquatic benthic macroinvertebrate taxonomic identification and abundance data derived from samples collected at each of the eight total reaches within Snakeden Branch and The Glade in Fall and Spring of calendar year 2021. Samples were collected by the USGS VA-WV-WSC using the Fairfax County standard operating procedures (FCSOP) and specimen identification and abundance calculations were performed by a third-party laboratory. Fairfax County benthic macroinvertebrate IBI scores and individual metrics were calculated by Fairfax County following FCSOP. It is important to note for this data release that the IBI scores presented for Fall samples have caveats associated with them and the ratings (e.g. Excellent, Good, Fair, etc.) for the Fall samples have been intentionally excluded. Please read the methods section of the “Metadata_for_Reston_Ecological_Data.xml” file carefully for further explanation. This data release also contains the fish assemblages data, collected during the Summer of 2021, from the eight total reaches in Snakeden Branch and The Glade. Electrofishing surveys were conducted following FCSOP by the USGS VA-WV-WSC to obtain these results. Finally, this data release contains the physical habitat data surveyed in both Fall and Spring of 2021. Multiple habitat metrics were measured throughout each of the eight total reaches on Snakeden Branch and The Glade.

The data on this page contain .pdf files of thermal images collected at 10 stream sites nearby study area, showing stream surface and bank seepage temperature readings.

The sample sites are color coded according to the Benthic Index of Biotic Integrity (BIBI) scores. Anything below a BIBI score of 3.0 is red (Poor), 3.0-3.9 is yellow (Fair), and 4.0-5.0 is green (Good).Begun as a pilot in 2000, Maryland Stream Waders is a statewide volunteer stream monitoring program managed by Maryland Department of Natural Resources (DNR), Monitoring and Nontidal Assessment Division. Stream Waders is the volunteer component of the Maryland Biological Stream Survey (MBSS).Goals of Stream Waders are: to increase the density of sampling sites for use in stream and watershed assessments; to improve stream stewardship ethics and encourage local action to improve watershed management; to educate the local community about the relationship between land use and stream quality; and to provide quality assured information on stream quality to state, local, and federal agencies, environmental organizations, and others.Stream Waders is designed to be seamless with the MBSS and several other stream sampling programs in Maryland. MBSS samples are collected at the watershed level (8-digit Hydrologic Unit Code (HUC); about 70 square miles each), while Stream Waders volunteers sample at a smaller scale subwatersheds at the 12-digit HUC; about 8 square miles each). Thus, Stream Waders data should help “fill the gaps” left in watershed areas not sampled by MBSS. Stream Waders sample, for the most part, in the sameoverall watersheds each year where MBSS crews sample.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://mdgeodata.md.gov/imap/rest/services/Hydrology/MD_StreamHealth/FeatureServer/0

Fisheries Stream Survey Site includes points along streams which have been surveyed for a variety of characteristics relative to fish habitat. This datalayer includes stream location information; chemical data such as dissolved oxygen, pH, alkalinity and conductivity, and air and water temperature; and physical data such as width and depth of the stream, water velocity, discharge volume, substrate summary information, and instream cover materials. Site report details are provided, which described the number of pools along the stream, flow stability, dominant rock type, and whether the stream is located below a dam or lake. Finally, fish population information about the stream is assessed, including type of species and estimated numbers per hectare. Invertebrate data are also included, such as the existence of crayfish or clams/mussels. Only the major rivers and trout management areas are updated annually. The remaining streams are not updated.

[Note 02/2024: this resource is now decomissioned, link provides related maps, tools, and GIS layers.]The Dynamic Mapping Tool provides a spatial index to over 5,500 sites on streams and rivers in the U.S. and Canada where full year stream temperatures are currently being monitored by numerous agencies. You can filter stream temperature sites by state, agency, year and contact. The primary goal is to portray a comprehensive set of sites across all agencies to facilitate data sharing and avoid redundancies, as new monitoring sites are added to the regional network. Raw temperature data are not downloadable through this site, but typically reside with the local data stewards, whose contact information is displayed by clicking on a point in the map. In some instances, RMRS may have copies of the raw data and permission to distribute it, so we ask that you contact us before contacting the local data stewards. The map will be updated once each winter to maintain an accurate description of current monitoring locations. If interested in obtaining temperature data or adding temperature monitoring sites to this map, please contact Sherry Wollrab: 208.373.4371 or sherrywollrab@fs.fed.us.Resources in this dataset:Resource Title: Website Pointer for Stream Temperature Interactive Maps.File Name: Web Page, url: https://www.fs.usda.gov/rm/boise/AWAE/projects/stream_temp/maps.htmlThe Dynamic Mapping Tool provides a spatial index to over 5,500 sites on streams and rivers in the U.S. and Canada where full year stream temperatures are currently being monitored by numerous agencies. Users can filter stream temperature sites by state, agency, year and contact.