Terrorism is among the most pressing challenges to democratic governance around the world. The Responsible Terrorism Coverage (or ResTeCo) project aims to address a fundamental dilemma facing 21st century societies: how to give citizens the information they need without giving terrorists the kind of attention they want. The ResTeCo hopes to inform best practices by using extreme-scale text analytic methods to extract information from more than 70 years of terrorism-related media coverage from around the world and across 5 languages. Our goal is to expand the available data on media responses to terrorism and enable the development of empirically-validated models for socially responsible, effective news organizations. This particular dataset contains information extracted from terrorism-related stories in the Foreign Broadcast Information Service (FBIS) published between 1995 and 2013. It includes variables that measure the relative share of terrorism-related topics, the valence and intensity of emotional language, as well as the people, places, and organizations mentioned. This dataset contains 3 files: 1. "ResTeCo Project FBIS Dataset Variable Descriptions.pdf" A detailed codebook containing a summary of the Responsible Terrorism Coverage (ResTeCo) Project Foreign Broadcast Information Service (FBIS) Dataset and descriptions of all variables. 2. "resteco-fbis.csv" This file contains the data extracted from terrorism-related media coverage in the Foreign Broadcast Information Service (FBIS) between 1995 and 2013. It includes variables that measure the relative share of topics, sentiment, and emotion present in this coverage. There are also variables that contain metadata and list the people, places, and organizations mentioned in these articles. There are 53 variables and 750,971 observations. The variable "id" uniquely identifies each observation. Each observation represents a single news article. Please note that care should be taken when using "resteco-fbis.csv". The file may not be suitable to use in a spreadsheet program like Excel as some of the values get to be quite large. Excel cannot handle some of these large values, which may cause the data to appear corrupted within the software. It is encouraged that a user of this data use a statistical package such as Stata, R, or Python to ensure the structure and quality of the data remains preserved. 3. "README.md" This file contains useful information for the user about the dataset. It is a text file written in mark down language Citation Guidelines 1) To cite this codebook please use the following citation: Althaus, Scott, Joseph Bajjalieh, Marc Jungblut, Dan Shalmon, Subhankar Ghosh, and Pradnyesh Joshi. 2020. Responsible Terrorism Coverage (ResTeCo) Project Foreign Broadcast Information Service (FBIS) Dataset Variable Descriptions. Responsible Terrorism Coverage (ResTeCo) Project Foreign Broadcast Information Service (FBIS) Dataset. Cline Center for Advanced Social Research. December 16. University of Illinois Urbana-Champaign. doi: https://doi.org/10.13012/B2IDB-6360821_V1 2) To cite the data please use the following citation: Althaus, Scott, Joseph Bajjalieh, Marc Jungblut, Dan Shalmon, Subhankar Ghosh, and Pradnyesh Joshi. 2020. Responsible Terrorism Coverage (ResTeCo) Project Foreign Broadcast Information Service (FBIS) Dataset. Cline Center for Advanced Social Research. December 16. University of Illinois Urbana-Champaign. doi: https://doi.org/10.13012/B2IDB-6360821_V1

This survey is part of Centerdata's Telepanel project. Telepanel consists of approx. 2000 households, surveyed weekly. Besides the Centerdatabase offers opportunities to compose tailor-made datasets. Opinions concerning changes in the Dutch broadcasting system Background Variables: Age, year of birth / Sex Ownership of house Nr. of children living with family/household / Position in family/household / Size of family/household / Other: presence of partner in family/household Respondent: occupational status Respondent: gross income / Respondent: net income / Total family/household: gross income / Total family/ household: net income Respondent: highest grade attained / Respondent: highest type attended Other: constructed variable ( social economic class ) according to GFK * Dongen.

CCTV新闻联播文本数据

The table CCTV News Broadcast Text Data is part of the dataset CCTV News Broadcast Text Data CCTV新闻联播文本数据, available at https://stanford.redivis.com/datasets/019j-81m1warsh. It contains 95630 rows across 4 variables.

Maine Owl Monitoring Program

MOMP consisted of a pilot study during 2002 and 2003 to evaluate methods and study design for a primary study conducted from 2004 to 2013. The main goals of the program were to (1) examine owl abundance and distribution in Maine, (2) evaluate survey methods and monitoring effectiveness, and (3) build a long-term citizen-science project through development of a network of skilled volunteers (Hodgman & Gallo 2004). Survey routes were established across the state (Figure 1) using the Maine DeLorme Atlas (Olathe, KA) grid system to delineate survey blocks that were further divided into four equal quadrants. Within each quadrant, two survey routes were established, and participants were asked to sample their assigned route once during a 6.5-week survey period that started on the first Friday of March each year. All surveys were conducted between 2400 – 0500 hours, and not all routes were sampled equally or continuously across the stu...

The northern bobwhite is an economically important species across its geographic range that has experienced declining population numbers. There is ample research dedicated to evaluating management practices for the adult life stage. However, the effects of management on bobwhite chicks remain understudied, despite this being the most vulnerable age class. We evaluated the effects of broadcast supplemental feed on bobwhite chick survival, mass, and location both during a breeding season with normal precipitation and one with historically low precipitation. We followed broods via radio transmitters on hens until chicks were large enough to carry their transmitters at around 12 days of age, then followed chicks until independence. From 0-12 days old, broods had higher survival in control units than supplementally fed units, but there was no effect of supplemental feed on 12-35-day-old survival. Likely due to severe drought conditions in 2011, chicks weighed more in 2012 than in 2011. Feed ..., , # Data from: Northern bobwhite chick survival, growth, and movement about broadcast supplemental feed and drought

Description of the data and file structure

Datasets and associated analysis code for a comparison of chick survival, growth, and locations in supplementally fed areas versus control unfed areas.

Datasets and variables

growthcombined.csv: Dataset for analyzing chick size across treatment, year, and age

Institutions operating beyond direct control of government, such as central banks, constitutional courts and public broadcasters, enjoy guarantees of de jure independence, but de jure independence is no guarantee of de facto independence. This is especially so for public broadcasting, where cultural variables are often assumed to be decisive. In this article, the de jure and de facto independence of thirty-six public service broadcasters world-wide are operationalized, and de jure independence is found to explain a high degree of de facto independence when account is taken of the size of the market for news. Other variables considered in previous literature – such as bureaucratic partisanship and the polarization of the party system – are not found to be significant.

The global seed drill and broadcast seeder machinery market is booming, projected to reach [estimated 2033 market size] by 2033, driven by precision agriculture, rising food demand, and technological advancements. Explore market size, CAGR, key players (AGCO, Deere, Mahindra), and regional insights.

This is the minimal data set underlying the results in this study. It includes an id variable, background characteristics (gender, age, education, political interest, vote choice if elections were held tomorrow) media exposure to 19 sources in days per week, dichotomous variables for party preferences, and the media profiles the respondents were assigned to based on the latent profile analysis. (DTA)

The problem of monitoring a multivariate linear regression model is relevant in studying the evolving relationship between a set of input variables (features) and one or more dependent target variables. This problem becomes challenging for large scale data in a distributed computing environment when only a subset of instances is available at individual nodes and the local data changes frequently. Data centralization and periodic model recomputation can add high overhead to tasks like anomaly detection in such dynamic settings. Therefore, the goal is to develop techniques for monitoring and updating the model over the union of all nodes' data in a communication-efficient fashion. Correctness guarantees on such techniques are also often highly desirable, especially in safety-critical application scenarios. In this paper we develop DReMo --- a distributed algorithm with very low resource overhead, for monitoring the quality of a regression model in terms of its coefficient of determination (R2 statistic). When the nodes collectively determine that R2 has dropped below a fixed threshold, the linear regression model is recomputed via a network-wide convergecast and the updated model is broadcast back to all nodes. We show empirically, using both synthetic and real data, that our proposed method is highly communication-efficient and scalable, and also provide theoretical guarantees on correctness.

Analog Television Station Licensing

U.S. Analog TV Station Location and Licensing Details

By Homeland Infrastructure Foundation [source]

About this dataset

This dataset, derived from the Consolidated Database System (CDBS) and licensed by the Media Bureau, encapsulates information about analog television station transmitters. It includes a comprehensive listing of transmitter details such as their location, assigned channel, current operational status, and licensee information.

The dataset consists of various parameters such as Call Sign (a unique identifier), Service Type (characterizing the type of service offered by the station), Channel Number (representative of transmission frequency), Status (indicative of whether a station is operational or not). The geographical data included comprises City and State where the station is grounded along with Country. Furthermore, it provides detailed location specifics including Latitude ('LAT'), Longitude ('LON') coordinates in both numeric format and decimal degree representations('LATDD','LONDD').

Additionally X-coordinate and Y-coordinate that pinpoint the exact location are included for more precise coordinate system mapping. As part of technical specifications entailing signal coverage are Height Above Average Terrain 'HAAT' presenting a measure for signal coverage area based on antenna height along with Effective Radiated Power 'ERP', signifying signal strength according to transmission power.

For more official insights Licensee entails who holds broadcasting rights currently whereas File Number gives an association that is linked with licenses issued.

While this dataset offers richly detailed descriptions about Analog Television Station Transmitters operations,it's important to underscore that some errors have been flagged in initial source files relating to latitude/longitude ground elevation data plus frequency assignment data which informed this final collation. Despite these potential inaccuracies though,this remains an invaluable resource for anyone looking into broadcast engineering,wireless communication regulation/policy or media studies from historical landscape perspective due to its specific focus on analog transmission systems,due its today's largely digital terrain.

Columns: * X - The X-coordinate position * Y - The Y-coordinate position * CALLSIGN - Unique Identifier * CITY - Location city
* STATE - Location state * COUNTRY - Location country * FILENUM - Associated file number * LATDD, LONDD - Decimal degree representation of latitude and longitude * CHANNEL - Broadcast channel * ERP – Effective Radiated Power depicting signal strength
* HAAT – Height Above Average Terrain indicating coverage area
* SERVICE Type offered by station * STATUS- Current status (operational / non operational) of station

How to use the dataset

Here's how you can make good use of this dataset:

Identification & Tracking

The CALLSIGN indicates a unique identifier assigned to each station. By utilizing this information one may analyze or track specific stations across different variables provided within the dataset.

Location Inference

You can analyze patterns among stations based on geolocations using LATDD (latitude in decimal degrees), LONDD (longitude in decimal degrees), CITY & STATE details. Additionally X-coordinate and Y-coordinate numbers give an insight on location from a geometrical perspective which might come handy while visualizing these locations via tools such as Tableau etc.

Analyzing Signal Coverage

HAAT(Height Above Average Terrain) indicates relative signal coverage area of respective TV station antennas height. By studying HAAT values one could look into reception quality issues or even plan placement of new transmitters. ERP value represents Effective Radiated Power indicating signal strength required for optimal reception at target audience's location.

Functional Status Assessment

One could identify whether a particular or group of TV Stations are currently operational by referring to STATUS column which provides current operational status.

Operator Details

LICENSEE refers to individual/entity holding license for specific TV Station offering an idea about commercial ownerships and control over local TV media market.

Channel Specifications

The CHANNEL offers info on channel number where station broadcasts facilitating identification for consumers and aiding competitive analysis within specific frequency ranges.

You may use this vital data not only to get insights about location and behavior of historical anal...

File List bbwo_occ.r -- (MD5: c32c59d390e4c2472d85a9a83bcc2064) bbwo_dat.txt -- (MD5: a1f979c217060a8b2d03e12957c32059) Description The 'bbwo_occ.r' script reads in data from 'bbwo_dat.txt', writes a model file for WinBUGS ('bbwoEAmodel.txt'), runs the model in WinBUGS (via the R2WinBUGS package) and stores results in an R list called 'out'. The file 'bbwo_dat.txt' contains encounter history and covariate data used in the occupancy model. Fields include: fire – Name of fire area designated by the USDA Forest Service point – Four-character alpha-numeric identifier for survey points int.1 – Indicator variable denoting whether a Black-backed Woodpecker was encountered (1) or not encountered (0) during the first 3-min passive survey interval. int.2 – Indicator variable denoting whether a Black-backed Woodpecker was encountered (1) or not encountered (0) during the second 2-min passive survey interval. NAs indicate no data recorded for that interval int.3 – Indicator variable denoting whether a Black-backed Woodpecker was encountered (1) or not encountered (0) during the first call-broadcast survey interval. int.4 – Indicator variable denoting whether a Black-backed Woodpecker was encountered (1) or not encountered (0) during the second call-broadcast survey interval. NAs indicate no data recorded for that interval int.5 – Indicator variable denoting whether a Black-backed Woodpecker was encountered (1) or not encountered (0) during the third call-broadcast survey interval. NAs indicate no data recorded for that interval fa – Age of fire area (i.e., time since most recent burn) in years (range = 1–10) lat – Latitude of survey point in decimal degrees snag.ct – Number of stems counted from the survey point using a 10 basal area factor (BAF) timber cruising crutch cc – Change in percent canopy cover at the survey point based on satellite derived relativized difference normalized burn ratio score RdNBR (Miller et al. 2009. Remote Sensing of Environment 113:645–656) summarized at 8,100-m2 (90 m × 90 m pixel) resolution by averaging 900-m2 (30 m × 30 m pixel) values from Geographic Information System (GIS) coverages provided by the USDA Forest Service (J. D. Miller) using the raster package (http://cran.r-project.org/web/packages/raster/vignettes/Raster.pdf) in R elev.res – Residuals from a regression of survey-point elevation (m) on survey-point latitude

Summary of the means (±SD) and ranges (minimum-maximum) of annual mean sea water temperature and Photosynthetic Available Radiation (PAR), as well as the raw data of all measured reproductive traits of Acropora hyacinthus per location. Number of colonies per location is included (n). Lyudao and Kochi include two years of data; other locations include one year of data. Largest and lowest mean values are in boldface.

This dataset contains data for the estimation of TV viewers’ response to sponsor messages embedded in live sports broadcasts. The data were obtained from 11 participants who each watched a full live broadcast of a 2018 soccer World Cup group stage match in a laboratory. Viewer-related data include participants’ heart rate, galvanic skin response, and visual attention to sponsor signage visible on screen throughout the entire game. The data additionally include game-related variables such as the minute of play and live betting odds over the course of the game. The data is structured longitudinally along 11 clusters, with 62,380 observations in total.

There has been an explosion of recent evidence that environments experienced by fathers or their ejaculates can influence offspring phenotypes (paternal effects). However, little is known about whether such effects are adaptive, which would have far-reaching implications for the many species facing rapidly changing environments. For example, some arguments suggest paternal effects might be a source of cross-generational plasticity, preparing offspring to face similar conditions to their father (anticipatory hypothesis). Alternatively, ejaculate-mediated effects on offspring may be non-adaptive by-products of stress. Here, we conduct an experiment to distinguish between these predictions, exposing ejaculates of the externally fertilizing mussel Mytilus galloprovincialis to ambient (19 °C) and high (24 °C) temperatures, then rearing offspring groups in temperatures that match and mismatch those of sperm. We find that, overall, high-treated sperm induced higher rates of normal offspring development, and higher success in transitioning to second-stage larvae, which may represent adaptive epigenetic changes or selection on sperm haplotypes. However, progeny of high-treated sperm did not perform better than those of ambient-treated sperm when rearing temperatures were high. Overall, these findings offer little support for anticipatory hypothesis and suggest instead that beneficial paternal effects may be eroded when offspring develop under stressful conditions.,These data were collected from an experiment testing whether ejaculate-mediated paternal effects of temperature are adaptive for offspring, using the externally fertilizing mussel Mytilus galloprovincialis. Mussels were induced to spawn, and ejaculates from males (n = 34) were split into two aliquot; one aliquot was exposed to ambient temperature (19 °C) and the other to high temperature (24 °C). The aliquots were used to fertilise separate batches of pooled eggs (i.e., eggs pooled from mulriple females), and fertilization rates measured after 2 h. Each batch of eggs was then split into two aliquots that were exposed to different rearing temperatures over 48 h; again using ambient (19 °C) and high (24 °C) temperature treatments. After 48 h, the number of surviving offspring was counted, along with the proportion that were trocophore (first-stage) vs. veliger (second-stage) larvae and the portion that exhibited normal vs. abnormal morphology and swimming.,The dataset is ordered with variables in columns and samples in rows. Columns represent 'Block' (experimental day), 'Male' (unique ID for each male sperm donor), 'Sperm_temp' (sperm temperature treatment), 'Rearing_temp' (rearing temperature treatment), 'Sample' (unique ID for each sample), 'Trocophore' (number of trocophore larvae), 'Veliger' (number of veliger larvae), 'Abnormal' (number of larvae with abnormal morphology or swimming), 'Normal' (number of larvae with normal morphology and swimming), 'Total' (total number of surviving larvae at 48 h), 'Fert' (number of fertilized eggs out of a haphazard count of 100 in the original batch of eggs), and 'Fert_rate' (fertilization expressed as a proportion).,

The aim is to assess the overall standing within its coverage area of radio station 3GI (Sale, ABC Network 3) and particularly audience awareness and reaction to recent alterations to the station's programming schedule. Data refers to the period from 1st September 1982 to 31st October 1982. Topics include: number of hours per day of radio listening; radio station listened to the most; whether the respondent has listened to stations 3GI, 3TR or 3UL in the last twelve months, an evaluation of the services of these stations, and, times when the respondent listens to 3TR, 3UL, 3GI or some other radio station during the day; preference for different programme types including 'Easy Listening' music, local horse racing, weather reports, local football, etc.; whether the local radio stations favour any one political party overall and whether they are mostly fair in their treatment of 'controversial' matters (economic, social, industrial, etc.); whether the respondent has heard offensive materials on any of the local radio stations; whether the respondent has noticed any changes in the programmes or times presented on any of the local radio stations recently and if yes, a list of the changes and whether the changes improved the station; preference for programmes broadcast over the local radio stations; a scale showing the likes and dislikes about radio station 3GI; whether the respondent speaks any languages other than English; and, whether the respondent favours having warnings and safety announcements or programmes in languages other than English on the radio. Background variables include age, sex, area of residence (town or country), and occupation.

The data set of the survey comprises content analysis of the entire 24-h programme of the six largest, with respect to audience size, TV stations with nationwide coverage, namely ALPHA, ANT1, MEGA, SKAI, STAR and the public broadcaster ERT. These data were collected from the day after the referendum proclamation, until the day of its conduct, that is between 29 June and 5 July 2015. The project involved 15 coders consisting of academic staf, Ph.D. candidates and graduate and undergraduate students. From the examination and coding of the research material, two distinct data sets were created: in the first one, the media units concerning the referendum were coded, while in the second one, the "talking heads" that appeared in each unit/broadcast constituted the unit of analysis. Each of the 4,917 people (talking heads) who appeared in these segments separately was coded, excluding the host journalists of the shows/news bulletins. The data were then analysed according to the principles of quantitative content analysis. For each unit of analysis, a group of variables was coded. The construction of the variable categories was further derived from a process of qualitative thematic coding. This method was applied to deal with the exceptional characteristics of the referendum campaign.