This article describes a free, open-source collection of templates for the popular Excel (2013, and later versions) spreadsheet program. These templates are spreadsheet files that allow easy and intuitive learning and the implementation of practical examples concerning descriptive statistics, random variables, confidence intervals, and hypothesis testing. Although they are designed to be used with Excel, they can also be employed with other free spreadsheet programs (changing some particular formulas). Moreover, we exploit some possibilities of the ActiveX controls of the Excel Developer Menu to perform interactive Gaussian density charts. Finally, it is important to note that they can be often embedded in a web page, so it is not necessary to employ Excel software for their use. These templates have been designed as a useful tool to teach basic statistics and to carry out data analysis even when the students are not familiar with Excel. Additionally, they can be used as a complement to other analytical software packages. They aim to assist students in learning statistics, within an intuitive working environment. Supplementary materials with the Excel templates are available online.

This template covers section 2.5 Resource Fields: Entity and Attribute Information of the Data Discovery Form cited in the Open Data DC Handbook (2022). It completes documentation elements that are required for publication. Each field column (attribute) in the dataset needs a description clarifying the contents of the column. Data originators are encouraged to enter the code values (domains) of the column to help end-users translate the contents of the column where needed, especially when lookup tables do not exist.

Data Dictionary template for Tempe Open Data.

This dataset contains templates of policies and MoU's on data sharing. You can download the Word-templates and adapt the documents to your national context.

No description was included in this Dataset collected from the OSF

One-sided, two-sample t-tests were applied to each individual feature. Features x1, x2, x3 and x4 denote the four-dimensional scale-space parameters. For each feature, the up arrow indicates (AD>NC) and the down arrow indicates (ADP

Operational Analysis is a method of examining the current and historical performance of the operations and maintenance investments and measuring that performance against an established set of cost, schedule, and performance parameters. The Operational Analysis template is used as a guide in preparing and documenting SSA's Operational Analyses.

This document presents the standard starting point language to use when drafting a formal data sharing agreement between a City entity and either another City entity or an outside party when two parties seek to share non-public data with one another. The document outlines the following major concerns:Parties to the agreementPurpose of the data sharing effort Period of the agreementDescription of the data to be sharedTiming and frequency of updates to the shared dataPoint(s) of contactCustodial responsibilitiesMethod of data transferPublication ReviewOther City terms and conditions This version 1.1 makes minor corrections of language originally formalized by the City's Data Governance Committee in June of 2020. Note that a data sharing agreement is not final or authorized without appropriate signatures from all parties represented by the agreement.

The Department of Public Safety and Correctional Services (DPSCS) submits these data to the Governor's Office each month for each of Maryland's prisons and jails. This dataset shows totals across those facilities: population totals, contraband seizures, searches, assaults, hearing officer reports, disciplinary action, identification document issuance, and IWIF statistics. Statistical analyses and data formatting are performed by Department of Information Technology (DoIT).

This template is for recording genome data from the NimbleGen platform. This template was taken from the GEO website (http://www.ncbi.nlm.nih.gov/geo/info/spreadsheet.html) and modified to conform to the SysMO-JERM (Just enough Results Model) for transcriptomics. Using these templates will mean easier submission to GEO/ArrayExpress and greater consistency of data in SEEK.

This dataset includes data from the Maryland Energy Administration (MEA) about statewide energy consumption, energy savings programs, renewable energy, and electric and hybrid vehicles

Mozello, a SIA, is an innovative website builder that empowers individuals and businesses to create their own unique, modern websites and online stores. With Mozello, users can choose from a range of professionally designed templates and customize their website's layout, colors, and content to fit their brand's identity. The platform offers a user-friendly interface, making it easy for anyone to build and manage their own website without requiring extensive technical skills. Mozello's solutions cater to a diverse range of customers, from entrepreneurs and bloggers to activists and businesses of all sizes.

Mozello's website builder is built for speed and ease, allowing users to create a website within a day. The platform's features are designed to help users succeed, including responsive design, powerful marketing and SEO tools, and a worry-free domain registration and web hosting solution. With Mozello, users can focus on what matters most - growing their business and online presence. The platform's customer support team is always available to help users overcome any challenges they may face, ensuring they can achieve their goals with ease. By choosing Mozello, users can rest assured that their online presence is in capable and reliable hands.

There are many useful strategies for preparing GIS data for Next Generation 9-1-1. One step of preparation is making sure that all of the required fields exist (and sometimes populated) before loading into the system. While some localities add needed fields to their local data, others use an extract, transform, and load process to transform their local data into a Next Generation 9-1-1 GIS data model, and still others may do a combination of both.There are several strategies and considerations when loading data into a Next Generation 9-1-1 GIS data model. The best place to start is using a GIS data model schema template, or an empty file with the needed data layout to which you can append your data. Here are some resources to help you out. 1) The National Emergency Number Association (NENA) has a GIS template available on the Next Generation 9-1-1 GIS Data Model Page.2) The NENA GIS Data Model template uses a WGS84 coordinate system and pre-builds many domains. The slides from the Virginia NG9-1-1 User Group meeting in May 2021 explain these elements and offer some tips and suggestions for working with them. There are also some tips on using field calculator. Click the "open" button at the top right of this screen or here to view this information.3) VGIN adapted the NENA GIS Data Model into versions for Virginia State Plane North and Virginia State Plane South, as Virginia recommends uploading in your local coordinates and having the upload tools consistently transform your data to the WGS84 (4326) parameters required by the Next Generation 9-1-1 system. These customized versions only include the Site Structure Address Point and Street Centerlines feature classes. Address Point domains are set for address number, state, and country. Street Centerline domains are set for address ranges, parity, one way, state, and country. 4) A sample extract, transform, and load (ETL) for NG9-1-1 Upload script is available here.Additional resources and recommendations on GIS related topics are available on the VGIN 9-1-1 & GIS page.

Metadata form template for Tempe Open Data.

All insurance and reinsurance undertakings are required to disclose publicly their Solvency and Financial Condition Report Data (SFCR), in accordance with (and pursuant to) Commission Delegated Regulation (EU) 2015/35 which supplements S.I. No. 485 of 2015 - European Union (Insurance & Reinsurance) Regulations 2015. The board of directors of an insurance undertaking or reinsurance undertaking has the ultimate responsibility for compliance with these Regulations and other laws applicable in the State adopted pursuant to the Directive, in accordance with Regulation 43 of the S.I. 485. The Central Bank of Ireland has made a complete repository with the data contained in the quantitative templates appended to the individual SFCRs.

This dataset contains a standard template for representing the metadata of rock specimens (e.g., core, microanalysis, hand grab) in the CSIRO Mineral Resources Discovery program. The template includes core properties of samples such as their name, identifier, type, and location, as well as associated metadata such as project, drilling contexts, hazard declaration and physical storage. The template will be used to catalogue legacy and specimens systematically collected through mineral exploration projects. It has been developed iteratively, revised, and improved based on feedback from researchers and lab technicians. This standardized template can prevent duplicate sample metadata entry and lower metadata redundancy, thereby improving the program's physical sample curation and discovery. Lineage: The template includes a readme section summarising all the metadata fields, including their requirements and definitions. The template incorporates several established controlled terms representing, e.g., sample type, rock type, drill type, EPSG and hazard information to ensure consistency in metadata entry.

Template Generation Dataset for AI Agents Evaluation

This is the benchmark for the Project Template Generation task, which requires creating a project template (content and structure) by short textual description. The dataset provides all the required components for evaluation of project template generation approaches in real project templates collected from GitHub, including:

Repository description; Repository root README.md file content; Repository link by which the "golden"… See the full description on the dataset page: https://huggingface.co/datasets/JetBrains-Research/template-generation.

Template for creating life expectancy and health expectancies estimates.

Images for the website template go here. It will not change their names or locations, but will hopefully help to organize them. Oh, but for a directory structure...