During the second quarter of 2022, approximately ** percent of all active users on the Instagram mobile app engaged with it daily. TikTok saw ** percent of its active installs opening the popular social media and video sharing app daily, while less than two in ** active Twitter users opened the app daily in the measured period.

Dataset produced in the context of MONROE-SOMETIME project. Included are results of available bandwidth and achievable throughput experiments using MONROE during a 35 days experimental campaign in four contries: Italy, Spain, Sweden and Norway. Results include raw log files produced by the employed tools (Yaz to measure available bandwidth and D-ITG to measure throughput) as well as processed files used to extract specific information.

Among the programming languages presented here, JavaScript most frequently used open source software within their active public repositories worldwide in 2020, with ** percent. Depending on open source software may lead to vulnerabilities in code, emphasizing the need for open source security.

Self-GRIT/open-hermes-2.5-sft-active-retrieval-sample-300k-retrieval-v1 dataset hosted on Hugging Face and contributed by the HF Datasets community

This dataset represents all active warrants recorded by the Norfolk Police Department. Warrants can be searched by type of crime, demographics of persons involved and total number of outstanding warrants. This dataset is updated daily.

Note: this dataset does not contain any active warrants that could possibly: • jeopardize an ongoing investigation, or prosecution, or the safety of an individual, • cause a suspect to flee or evade detection, • result in the destruction of evidence.

Switzerland Investment Fund: Number of Active Fund: Open: Securities data was reported at 136.000 Unit in Mar 2018. This records a decrease from the previous number of 137.000 Unit for Dec 2017. Switzerland Investment Fund: Number of Active Fund: Open: Securities data is updated quarterly, averaging 152.000 Unit from Sep 2005 (Median) to Mar 2018, with 51 observations. The data reached an all-time high of 212.000 Unit in Sep 2005 and a record low of 129.000 Unit in Jun 2017. Switzerland Investment Fund: Number of Active Fund: Open: Securities data remains active status in CEIC and is reported by Swiss National Bank. The data is categorized under Global Database’s Switzerland – Table CH.O006: Investment Funds: by Type.

This dataset includes a list of public open spaces, primarily under the jurisdiction of and/or managed by NYC Parks, as well as the percentage of active and passive recreation in each space. It also includes Schoolyard to Playground (SYPG) sites under the jurisdiction of the NYC Department of Education (DOE), and sites managed in partnership with NYC Parks, such as Central Park, Brooklyn Bridge Park, and Battery Park City, among others. Active open space refers to areas used for sports, exercise, or active play, including but not limited to, playgrounds, sports fields, and fitness equipment. Passive open space refers to areas for relaxation, such as sitting, strolling, or picnicking. These areas may include plazas, beaches, walking paths, as well as features that contribute to the overall use of public open spaces, such as bathroom and maintenance structures, parking lots, and cultural institutions. While these latter features are not defined as 'passive' in the 2021 CEQR Open Space chapter, they will be included in the forthcoming updated version of the chapter. This dataset is intended for use in completing an Open Space analysis as part of the City Environmental Quality Review (CEQR) process only. Please fully read the Data Dictionary linked below before using this dataset to complete a CEQR Open Space analysis. Additional research may be necessary to identify other open space resources within a given study area, including those managed by federal, state, and city agencies, as well as private entities. For more information on the Open Space analysis and lists of passive and active features as defined by CEQR, visit: https://www.nyc.gov/assets/oec/technical-manual/07_Open_Space_2021.pdf" Explore the Data Dictionary

All Active businesses - Principal Place of Business address, Mailing address, Registered Agent, Authorized Representative.

Boosted top tagging is an essential binary classification task for experiments at the Large Hadron Collider (LHC) to measure the properties of the top quark. The ATLAS Top Tagging Open Data Set is a publicly available dataset for the development of Machine Learning (ML) based boosted top tagging algorithms. The dataset consists of a nominal piece used for the training and evaluation of algorithms, and a systematic piece used for estimating the size of systematic uncertainties produced by an algorithm. The nominal data are is split into two orthogonal sets, named train and test. The systematic varied data is split into many more pieces that should only be used for evaluation in most cases. Both nominal sets are composed of equal parts signal (jets initiated by a boosted top quark) and background (jets initiated by light quarks or gluons).

A brief overview of these datasets is as follows. For more detailed information see arxiv:2047.20127.

• train_nominal - 92,820,427 jets, equal parts signal and background
• test_nominal - 10,306,813 jets, equal parts signal and background
• esup - 10,032,472 jets with the cluster energy scale up systematic variation active, equal parts signal and background
• esdown - 10,032,472 jets with the cluster energy scale down systematic variation active, equal parts signal and background
• cer - 10,040,653 jets with the cluster energy resolution systematic variation active, equal parts signal and background
• cpos - 10,032,472 jets with the cluster energy position systematic variation active, equal parts signal and background
• teg - 7,421,204 jets with the track efficiency global systematic variation active, 30% signal jets
• tej - 7,017,046 jets with the track efficiency in jets systematic variation active, 32% signal jets
• tfl - 5,907,310 jets with the track fake rate loose systematic variation active, 18% signal jets
• tfj - 6,977,371 jets with the track fake rate in jets systematic variation active, 32% signal jets
• bias - 10,011,330 jets with the track bias systematic variation active, 52% signal jets
• ttbar_pythia - 193,792 jets from Pythia simulated events containing Standard Model top-anti top quark pair production, all signal jets
• ttbar_herwig - 180,811 jets from Herwig simulated events containing Standard Model top-anti top quark pair production, all signal jets
• cluster - 5,000,004 jets simulated using the Sherpa cluster based hadronization model, all background jets
• string - 5,000,001 jets simulated using the Lund string based hadronization model, all background jets
• angular - 4,900,000 jets simulated using the Herwig angular ordered parton shower model, all background jets
• dipole - 4,900,000 jets simulated using the Herwig dipole parton shower model, all background jets

For each jet, the datasets contain:

• The four vectors of constituent particles
• 15 high level summary quantities evaluated on the jet
• The four vector of the whole jet
• A training weight (nominal only)
• PYTHIA shower weights (nominal only)
• A signal (1) vs background (0) label

There are two rules for using this data set: the contribution to a loss function from any jet should always be weighted by the training weight, and any performance claim is incomplete without an estimate of the systematic uncertainties via the method illustrated in this repository. The ideal model shows high performance but also small systematic uncertainties.

Active members

A Civil Service List consists of all candidates who passed an exam, ranked in score order. An established list is considered active for no less than one year and no more than four years from the date of establishment. For more information visit DCAS’ “Work for the City” webpage at: https://www1.nyc.gov/site/dcas/employment/take-an-exam.page

This dataset provides access to live session data in OpenActive RPDE format for Find My Facility.

Self-GRIT/open-hermes-2.5-sft-active-retrieval-instruct-sample-300k-linq-wikiv2-prefix-suffix-v1 dataset hosted on Hugging Face and contributed by the HF Datasets community

which are far less common than passive stereo datasets.

Active Places NI records key contact, location and facility specification information on sports facilities throughout Northern Ireland.

During the second quarter of 2022, approximately ** percent of all active Snapchat users in the United States engaged with the mobile app daily. Instagram saw similar usage trends, with ** percent of all active U.S. users on the platform opening the app daily. In comparison, a little over *** in ** U.S. TikTok users opened the app daily during the second quarter of 2022.

Numbers of Active Colleges Connected on optical fiber network and their coordinates, in line with the Royal vision and upon the approval of the prime Ministers on 25 June 2003, the establishment of the national fiber-optic network started by Ministry of Digital Economy and Entrepreneurship.

Switzerland Investment Fund: Number of Active Fund: Open: Alternative Investments data was reported at 46.000 Unit in Mar 2018. This records an increase from the previous number of 45.000 Unit for Dec 2017. Switzerland Investment Fund: Number of Active Fund: Open: Alternative Investments data is updated quarterly, averaging 72.000 Unit from Sep 2005 (Median) to Mar 2018, with 51 observations. The data reached an all-time high of 109.000 Unit in Jun 2008 and a record low of 38.000 Unit in Dec 2016. Switzerland Investment Fund: Number of Active Fund: Open: Alternative Investments data remains active status in CEIC and is reported by Swiss National Bank. The data is categorized under Global Database’s Switzerland – Table CH.O006: Investment Funds: by Type.

Self-GRIT/open-hermes-2.5-sft-active-retrieval-sample-300k-retrieval-llama3-infer-query-ref dataset hosted on Hugging Face and contributed by the HF Datasets community

This dataset was created from all Landsat-8 images from South America in the year 2018. More than 31 thousand images were processed (15 TB of data)