Dataset

This dataset was created by Jayant Singh Jeena

Contents

The status data on information technology projects promoted by Korea East-West Power provides information on the progress and completion of projects for digital transformation and information system construction by year.
The data consists of items such as year, business name, business overview, and management department, and is designed to clearly identify the purpose and scope of each business, as well as the operating entity.
Through this, we can analyze which areas Korea East-West Power has focused its investments on to build an informatization and digital infrastructure, as well as the business trends and strategic changes.
Academics and research institutions can utilize this data to analyze trends in public corporations' information technology projects by type, compare the pace of digital transformation by year, analyze key investments in specific areas (e.g., smart power plants, management information systems), and understand the division of roles among management departments.
Furthermore, by comparing the information technology projects of similar public institutions, best practices and policy implications for establishing information technology strategies can be derived. This data can also be used as basic data for empirical research on digital administration, public IT investment, and data governance.

This dataset includes morphometric measurements and pregnancy / dependency status from sea otters captured or collected (experimental harvests or recovered after the Exxon Valdez Oil Spill) in Alaska, 1947-2019 by the U.S. Geological Survey (USGS) and the U.S. Fish and Wildlife Service (USFWS). Data collected include total body length, tail length, body mass, axillary girth, paw width, canine diameter and baculum length along with sex, age, and reproductive status of females (pregnancy / dependency status). For females with dependent pups, pup sex, mass, and total length are included when available. For harvested animals, data includes pregnancy status along with fetal sex, mass, and length.

This is the satellite launch status data from 2020 to 2021. This is a data that shows the number of geostationary and non-geostationary satellites and the number of failed satellite launches. This is a good resource to know about the current state of artificial intelligence.

Agreement of VA functional status data with the reference standard of research-collected data for assessing dependence in activities of daily living, among patients with

Dataset

This dataset was created by ZiweiZhan

Released under Apache 2.0

Contents

This dataset originates from a controlled preclinical study investigating the influence of alendronate, daidzein, tempeh, and probiotics on phosphorus metabolism in a postmenopausal rat model. The experiment was designed to assess how these dietary interventions—administered individually or in combination—affect phosphorus intake, absorption, and tissue distribution in ovariectomized (OVX) and sham-operated (S) female rats over a six-week intervention period.All procedures were conducted in accordance with ethical standards for animal experimentation, approved by the Lokalna Komisja Etyczna (Poznań, Poland), under registration number 21/2021. The experimental design comprised several dietary groups: a sham-operated control (S), an ovariectomized control (O), and treatment groups fed with alendronate (OB), daidzein (OD), tempeh (OT), probiotic (OL), combination of daidzein and probiotic (ODL), and combination of tempeh and probiotic (OTL). Diets were formulated based on the AIN-93M standard, with specific modifications to incorporate the designated bioactive compounds.The dataset includes detailed records of phosphorus intake, phosphorus concentrations in the experimental diets, and food consumption across all groups. Following the intervention, biological samples—including feces and various organs (spleen, femur, heart, liver, kidney, and pancreas)—were collected to quantify total phosphorus content using the ammonium molybdate–vanadate colorimetric method.Collectively, this dataset provides a comprehensive overview of how dietary phytoestrogens (daidzein and tempeh) and probiotics modulate phosphorus homeostasis and tissue-specific deposition patterns in a postmenopausal rat model. The data serve as a foundation for exploring nutrient–bioactive interactions relevant to mineral metabolism, gut–bone axis research, and dietary strategies for bone health in postmenopausal conditions.

This dataset provides information about the charging stations and charging guns installed in the airport, including the charging pile code, charging gun code, and charging gun specifications.

Dataset

This dataset was created by Divyanshagg27

Contents

These various map layers are essential for the effective management of cultural heritage (real estate) in the Brussels-Capital region. They enable authorities and stakeholders to monitor, protect, and promote this valuable cultural legacy. Protected Properties: This map layer displays the locations of cultural properties that are officially protected by the relevant authorities. Protection Zones: This map layer shows the designated protection zones around the protected properties.

Barriers and facilitators to documenting and using functional status data to improve care and outcomes.

BackgroundThe ability to perform basic daily activities (“functional status”) is key to older adults’ quality of life and strongly predicts health outcomes. However, data on functional status are seldom collected during routine clinical care in a way that makes them available for clinical use and research.ObjectivesTo validate functional status data that Veterans Affairs (VA) medical centers recently started collecting during routine clinical care, compared to the same data collected in a structured research setting.DesignProspective validation study.SettingSeven VA medical centers that collected complete data on 5 activities of daily living (ADLs) and 8 instrumental activities of daily living (IADLs) from older patients attending primary care appointments.ParticipantsRandomly selected patients aged 75 and older who had new ADL and IADL data collected during a primary care appointment (N = 252). We oversampled patients with ADL dependence and applied these sampling weights to our analyses.MeasurementsTelephone-based interviews using a validated measure to assess the same 5 ADLs and 8 IADLs.ResultsMean age was 83 years, 96% were male, and 75% were white. Of 85 participants whom VA data identified as dependent in 1 or more ADLs, 74 (87%) reported being dependent by interview; of 167 whom VA data identified as independent in ADLs, 149 (89%) reported being independent. The sample-weighted sensitivity of the VA data for identifying ADL dependence was 45% (95% CI, 29%, 62%) compared to the reference standard, the specificity was 99% (95% CI, 99%, >99%), and the positive predictive value was 87% (95% CI, 79%, 93%). The weighted kappa statistic was 0.55 (95% CI, 0.41, 0.68) for the agreement between VA data and research-collected data in identifying ADL dependence.ConclusionOverall agreement of VA functional status data with a reference standard was moderate, with fair sensitivity but high specificity and positive predictive value.

The data set contains original (historical) data of RÚIAN elements that have undergone some change in the past. The user can use them for reconstruction of changes in RÚIAN data (since 2012). Only descriptive information is given for each element. Spatial delimitation (polygons, definition lines and definition points) is not included in historical sets. It is possible to obtain a file for the whole state or for the chosen municipality. The following elements are included in the file for the entire state: state, cohesion regions, higher territorial self-governing units (VÚSC), municipalities with extended competence (ORP), municipalities with a mandated municipal authority (POU), regions (old from 1960), districts, municipalities, parts of the municipality, municipal districts/urban districts (MOMC), urban districts of Prague (ILO), administrative districts of Prague (SOP), cadastral territory and basic settlement units (ZSJ). The following elements are included in the populations for each municipality: municipality, parts of the municipality, MOMC (for territorially divided statutory cities, ILO (for Prague), SOP (for Prague), cadastral territory, ZSJ, streets, building buildings and address points. The data set is provided as open data (CC-BY 4.0 license). The data is based on RÚIAN (Registry of Territorial Identification, Addresses and Real Estate). Data are generated once a month in the RÚIAN (VFR) exchange format, which is based on XML language and conforms to GML 3.2.1 (according to ISO 19136:2007). For downloading the data is compressed (ZIP). More in Act No. 111/2009 Coll., on basic registers, in Decree No. 359/2011 Coll., on the basic register of territorial identification, addresses and real estate.

This dataset provides real-time information on the charging guns at all service areas on the expressway. The content covers information such as charging stations, piles, gun codes, charging gun status, and charging gun specifications.

In medical studies of treatable fatal diseases, some individuals may become cured, causing survival curves to plateau instead of declining to zero. Cure rate models estimate the cure fraction, the distribution of susceptible individuals, and covariate effects. To study the data with a cure fraction, the promotion time cure rate model is favored, owing to its biological interpretability in cancer metastasis. Epidemiological and destructive testing data are often subject to current status censoring, where event status is recorded only once. While the promotion time cure rate model has been extensively studied under various censoring schemes, its Bayesian formulation for current status data remains largely unexplored. Motivated by this, we develop a Bayesian promotion time cure rate model specifically for current status data. The posterior computation is carried out via an adaptive Metropolis-Hastings algorithm. Simulation studies prove our approach’s efficiency, while analyses of lung tumor and breast cancer data illustrate its utility. By integrating prior knowledge with data, this method enhances understanding of disease dynamics and aids in developing strategies to improve cure rates.

Agreement of VA functional status data with the reference standard of research-collected data for assessing dependence in instrumental activities of daily living.

Dataset

This dataset was created by Margarita Sakoyan

Contents

The historical flight schedule data is perfect to create applications, plugins for websites, running analysis and creating statistics, keeping track of past delays and cancellations for insurance or flight compensation claims, and much more.

We have developed many parameters you can use to pull the exact data you need without having to spend too much time filtering it on your end. We've asked many developers around the world to find out which pieces of data they would need the most, and created the parameters based on this feedback.

The data includes: - Airline: Name, IATA and ICAO codes of the airline. - Departure and arrival: IATA codes and ICAO codes of the departure and arrival location. - Departure and arrival times: Scheduled, estimated and actual arrival and departure times, as well as runway times in local time. - Status: The latest status information of the flight which may be active (for departure schedules), landed (for arrival schedules), cancelled or unknown - Delay: Total delay amount in minutes for delayed flights

Example response from the API: { "type": "departure", "status": "active", "departure": { "iataCode": "jfk", "icaoCode": "kjfk", "terminal": "7", "delay": 10, "scheduledTime": "2020-09-25t20:15:00.000", "estimatedTime": "2020-09-25t20:09:00.000", "actualTime": "2020-09-25t20:25:00.000", "estimatedRunway": "2020-09-25t20:25:00.000", "actualRunway": "2020-09-25t20:25:00.000"}, "arrival": { "iataCode": "lhr", "icaoCode": "egll", "terminal": "5", "scheduledTime": "2020-09-26t08:20:00.000", "estimatedTime": "2020-09-26t07:32:00.000" }, "airline": { "name": "aer lingus", "iataCode": "ei", "icaoCode": "ein" }, "flight": { "number": "8814", "iataNumber": "ei8814", "icaoNumber": "ein8814" }, "codeshared": { "airline": { "name": "british airways", "iataCode": "ba", "icaoCode": "baw" }, "flight": { "number": "114", "iataNumber": "ba114", "icaoNumber": "baw114"} } },

2) Historical Schedules API Output - Developer Information For the departure schedule of a certain airport on a certain date. GET http://aviation-edge.com/v2/public/flightsHistory?key=[API_KEY]&code=JFK&type=departure&date_from=YYYY-MM-DD

For the arrival schedule of a certain airport on a certain date. GET http://aviation-edge.com/v2/public/flightsHistory?key=[API_KEY]&code=JFK&type=arrival&date_from=YYYY-MM-DD

For the schedule of a certain airport of a certain date range (also available for arrival). GET http://aviation-edge.com/v2/public/flightsHistory?key=[API_KEY]&code=JFK&type=departure&date_from=YYYY-MM-DD&date_to=YYYY-MM-DD

For the schedule of a certain airport on a certain date (or range) but only flights with a certain status. GET http://aviation-edge.com/v2/public/flightsHistory?key=[API_KEY]&code=JFK&type=arrival&date_from=YYYY-MM-DD&date_to=YYYY-MM-DD&status=cancelled

For tracking individual historical flights. GET http://aviation-edge.com/v2/public/flightsHistory?key=[API_KEY]&code=JFK&type=departure&date_from=YYYY-MM-DD&date_to=YYYY-MM-DD&flight_number=[1234]

For filtering the flights of a certain airline from the arrival schedule of a certain airport on a certain date (also available for departure schedules and as a date range). GET http://aviation-edge.com/v2/public/flightsHistory?key=[API_KEY]&code=JFK&type=arrival&date_from=YYYY-MM-DD&&airline_iata=TK

Important Tips: - Currently possible to get dates that are up to 1 year earlier than the current date (this will expand soon). - The date range can go up to 28 days for a single API call but may be shorter around 3-5 days for airports with heavy traffic.

The current BMP Certificate and Source Certificate Status of parcels in the Tahoe Basin. For more information, please visit www.tahoebmp.org

Test characteristics of VA functional status data compared with the reference standard of research-collected data.