This dataset contains information about various sailing boats, including their characteristics, features, and performance. The dataset is intended for use by researchers, enthusiasts, and industry professionals who are interested in analyzing or comparing different sailing boats.

The dataset includes data on the following features of each boat:

Length overall (LOA) Beam Draft Displacement Sail area Designer/Builder Year built Hull material Keel type Rudder type Engine type Fuel capacity Water capacity Berths Headroom In addition, the dataset also includes performance metrics for each boat, such as:

Speed (in knots) Maneuverability Stability Windward ability Downwind speed Sail handling ease This dataset is ideal for a variety of research and analysis purposes, including:

Boat design optimization Performance analysis and comparison Market research and analysis Industry benchmarking Competitive analysis Overall, this sailing boats dataset is a valuable resource for anyone interested in sailing, boat design, or the boating industry.

Strategic Analytics for Improvement and Learning Value Model or SAIL, is a system for summarizing hospital system performance within Veterans Health Administration (VHA). SAIL assesses key Quality measures in areas such as death rate, complications, and patient satisfaction, as well as overall efficiency at individual VA Medical Centers (VAMCs).

The Child Health System in Wales; includes birth registration and monitoring of child health examinations and immunisations.

The Child Health System in Wales; includes birth registration and monitoring of child health examinations and immunisations.

The dataset brings together data from local Child Health System databases which are held by NHS Trusts and used by them to administer child immunisation and health surveillance programmes.

The dataset contains all children born, resident or treated in Wales and born after 1987.

Attendance information for all hospital outpatient appointments.

RegMix Data

  Dataset Description

The RegMix Data is a curated dataset derived from the Pile-Uncopyrighted, specifically designed for the RegMix paper (https://huggingface.co/papers/2407.01492). This dataset aims to facilitate the automatic identification of high-performing data mixtures for language model pre-training by formulating it as a regression task.

  Key Features:

Size: Approximately 1TB disk space, 250B tokens Distribution: Follows the natural token… See the full description on the dataset page: https://huggingface.co/datasets/sail/regmix-data.

This database contains residential and geographical information data about care homes in Wales.

Access updated Sail import data India with HS Code, price, importers list, Indian ports, exporting countries, and verified Sail buyers in India.

Crude Steel: Production: Public Sector: Steel Authority of India Limited (SAIL) data was reported at 15,022.000 Metric Ton th in 2018. This records an increase from the previous number of 14,494.000 Metric Ton th for 2017. Crude Steel: Production: Public Sector: Steel Authority of India Limited (SAIL) data is updated yearly, averaging 13,507.500 Metric Ton th from Mar 2003 (Median) to 2018, with 16 observations. The data reached an all-time high of 15,022.000 Metric Ton th in 2018 and a record low of 11,628.000 Metric Ton th in 2003. Crude Steel: Production: Public Sector: Steel Authority of India Limited (SAIL) data remains active status in CEIC and is reported by Joint Plant Committee. The data is categorized under India Premium Database’s Metal and Steel Sector – Table IN.WAA003: Crude Steel: Production (Annual).

Dataset

This dataset was created by bowZZZ

Released under Apache 2.0

Contents

Space sails are a continuum of lightweight, thin, large-area, deployable technologies which are pushing forward new frontiers in space mobility and exploration. They encompass solar sails, laser-driven sails, drag sails, magnetic sails, electric sails, deployable membrane reflectors, deployable membrane antennas, and solar power sails. This database contains values of important parameters from 220 different space sails, which have either flown in space or been proposed as mission concepts. The parameters are: the deployed sail area, the spacecraft's total mass, the total sail loading, the characteristic acceleration, the characteristic thrust, the sail's stowed volume, the sail packing efficiency, and the sail thickness. Assumptions and definitions used for each parameter are provided, along with links to the data sources.

The Child Health System in Wales; includes birth registration and monitoring of child health examinations and immunisations.

Attendance and clinical information for all general practice interactions: includes patients symptoms, investigations, diagnoses, prescribed medication and referrals to tertiary care.

This dataset covers 83% of the population of Wales and 80% of GP practices in Wales. It is linkable with anonymised fields for individuals and GPs to other datasets, including bespoke project specific cohorts. Each GP practice uses a clinical information system to maintain an electronic health record for each of their patients; capturing the signs, symptoms, test results, diagnoses, prescribed treatment, referrals for specialist treatment and social aspects relating to the patients home environment.

The majority of the data is entered by the clinician during the patient consultation. Test results are electronically transferred from secondary care systems.

There are no standard rules for recording data within primary care clinical information systems. Therefore, each individual clinician can record information in their own way. The majority use Read Code Terminology, however, sometimes this is applied behind the scenes by the clinical system and sometimes local codes are used. Read codes are not as precise as ICD 10 or OPCS codes.

Coding standards have been agreed on for conditions monitored by the QOF (Quality Outcomes Framework) returns. Since the implementation of QOF these conditions have been coded in a more consistent way.

Time coverage varies between each practice.

NHS Wales hospital admissions (Inpatients and daycases) dataset comprising of attendance and clinical information for all hospital admissions: includes diagnoses and operations performed. Includes spell and episode level data.

The data are collected and coded at each hospital. Administrative information is collected from the central PAS (Patient Administrative System), such as specialty of care, admission and discharge dates. After the patient is discharged the handwritten patient notes are transcribed by clinical coder into medical coding terminology (ICD10 and OPCS).

The data held in PEDW is of interest to public health services since it can provide information regarding both health service utilisation and also the incidence and prevalence of disease. However, since PEDW was created to track hospital activity from the point of view of payments for services, rather than epidemiological analysis, the use of PEDW for public health work is not straightforward. For example:

Counts will vary depending on the number of diagnosis fields used e.g. primary only, all fields; There are a number of different things that can be counted in PEDW e.g. individual episodes of care, admissions, discharges, periods of continuous care (group of episodes), patients or procedures. When looking at diagnosis or procedures the number will vary depending on whether you look at only in the primary diagnosis / procedure field or if the secondary fields are also included. Coding practices vary. In particular, coding practices for recording secondary diagnoses is likely to vary for different hospitals. This makes regional variations more difficult to interpret. The validation process led by the Corporate Health Improvement Programme and implemented by Digital Health and Care Wales (DHCW) is aiming to address some of these inconsistencies.

Due to the complexity and pitfalls of PEDW it is recommended that any PEDW requests for public health purposes are discussed with a member of the SAIL team. In turn the SAIL will seek advice from DHCW if required.

This dataset requires additional governance approvals from the data provider before data can be provisioned to a SAIL project.

1638 Global export shipment records of Sail,fish with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Crude Steel: Installed Capacity: Public Sector: Steel Authority of India Limited (SAIL) data was reported at 17,519.000 Metric Ton th in 2018. This stayed constant from the previous number of 17,519.000 Metric Ton th for 2017. Crude Steel: Installed Capacity: Public Sector: Steel Authority of India Limited (SAIL) data is updated yearly, averaging 12,859.000 Metric Ton th from Mar 2003 (Median) to 2018, with 16 observations. The data reached an all-time high of 17,519.000 Metric Ton th in 2018 and a record low of 12,696.000 Metric Ton th in 2004. Crude Steel: Installed Capacity: Public Sector: Steel Authority of India Limited (SAIL) data remains active status in CEIC and is reported by Joint Plant Committee. The data is categorized under India Premium Database’s Metal and Steel Sector – Table IN.WAA005: Crude Steel: Production: Capacity.

Non-traditional data signals from social media and employment platforms for SAIL stock analysis

Appa

This repository contains data and model checkpoints for Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation by Gérôme Andry, Sacha Lewin, François Rozet, Omer Rochman, Victor Mangeleer, Matthias Pirlet, Elise Faulx, Marilaure Grégoire, and Gilles Louppe. Please check out the Wiki for more information.

Sail Llc Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

This dataset contains the predicted prices of the asset Sail over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

Crude Steel: Capacity Utilisation: Public Sector: Steel Authority of India Limited (SAIL) data was reported at 86.000 % in 2018. This records an increase from the previous number of 83.000 % for 2017. Crude Steel: Capacity Utilisation: Public Sector: Steel Authority of India Limited (SAIL) data is updated yearly, averaging 103.000 % from Mar 2003 (Median) to 2018, with 16 observations. The data reached an all-time high of 109.000 % in 2008 and a record low of 79.000 % in 2015. Crude Steel: Capacity Utilisation: Public Sector: Steel Authority of India Limited (SAIL) data remains active status in CEIC and is reported by Joint Plant Committee. The data is categorized under India Premium Database’s Metal and Steel Sector – Table IN.WAA005: Crude Steel: Production: Capacity.