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.

Efficiently selecting task-relevant objects during visual search depends on foreknowledge of their defining characteristics, which are represented within attentional templates. These templates bias attentional processing toward template-matching sensory signals and are assumed to become anticipatorily activated prior to search display onset. However, a direct neural signal for such preparatory template activation processes has so far remained elusive. Here, we introduce a new high-definition rapid serial probe presentation paradigm (RSPP–HD), which facilitates high temporal resolution tracking of target template activation processes in real time via monitoring of the N2pc component. In the RSPP–HD procedure, task-irrelevant probe displays are presented in rapid succession throughout the period between task-relevant search displays. The probe and search displays are homologously formed by lateralized “clouds” of colored dots, yielding probes that occur at task-relevant locations without confounding template-guided and salience-driven attentional shifts. Target color probes appearing at times when a corresponding target template is active should attract attention, thereby eliciting an N2pc. In a condition where new probe displays appeared every 50 ms, probe N2pcs were reliably elicited during the final 800 ms prior to search display onset, increasing in amplitude toward the end of this preparation period. Analogous temporal profiles were also observed with longer intervals between probes. These findings show that search template activation processes are transient and that their temporal profile can be reliably monitored at high-sampling frequencies with the RSPP–HD paradigm. This procedure offers a new route to approach various questions regarding the content and temporal dynamics of attentional control processes.

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.

Geoform is a configurable app template for form based data editing of a Feature Service. This application allows users to enter data through a form instead of a map's pop-up while leveraging the power of the Web Map and editable Feature Services. This app geo-enables data and workflows by lowering the barrier of entry for completing simple tasks. Use CasesProvides a form-based experience for entering data through a form instead of a map pop-up. This is a good choice for users who find forms a more intuitive format than pop-ups for entering data.Useful to collect new point data from a large audience of non technical staff or members of the community.Configurable OptionsGeoform has an interactive builder used to configure the app in a step-by-step process. Use Geoform to collect new point data and configure it using the following options:Choose a web map and the editable layer(s) to be used for collection.Provide a title, logo image, and form instructions/details.Control and choose what attribute fields will be present in the form. Customize how they appear in the form, the order they appear in, and add hint text.Select from over 15 different layout themes.Choose the display field that will be used for sorting when viewing submitted entries.Enable offline support, social media sharing, default map extent, locate on load, and a basemap toggle button.Choose which locate methods are available in the form, including: current location, search, latitude and longitude, USNG coordinates, MGRS coordinates, and UTM coordinates.Supported DevicesThis application is responsively designed to support use in browsers on desktops, mobile phones, and tablets.Data RequirementsThis web app includes the capability to edit a hosted feature service or an ArcGIS Server feature service. Creating hosted feature services requires an ArcGIS Online organizational subscription or an ArcGIS Developer account. Get Started This application can be created in the following ways:Click the Create a Web App button on this pageShare a map and choose to Create a Web AppOn the Content page, click Create - App - From Template Click the Download button to access the source code. Do this if you want to host the app on your own server and optionally customize it to add features or change styling.

This dataset is comprised of a collection of example DMPs from a wide array of fields; obtained from a number of different sources outlined below. Data included/extracted from the examples include the discipline and field of study, author, institutional affiliation and funding information, location, date created, title, research and data-type, description of project, link to the DMP, and where possible external links to related publications or grant pages. This CSV document serves as the content for a McMaster Data Management Plan (DMP) Database as part of the Research Data Management (RDM) Services website, located at https://u.mcmaster.ca/dmps. Other universities and organizations are encouraged to link to the DMP Database or use this dataset as the content for their own DMP Database. This dataset will be updated regularly to include new additions and will be versioned as such. We are gathering submissions at https://u.mcmaster.ca/submit-a-dmp to continue to expand the collection.

Based on long-term research and practice, our team proposed a Journal Data Policy Template for Depositing & Sharing Paper Related Data, and it is a general data policy framework for different journals. According to the different intensities of sharing related data of papers, this policy framework divides into five levels, with the intensity decreasing from level 1 to level 5. According to the actual situation of each journal, the editorial department of the journal could select the corresponding strength level of the data policy, and then select the content of the policy text contained in this level. The V2 version of the data policy has revised the problems and optimized the first version. The V3 version has updated the data policy grading table. The V4 version has optimized the data policy grading table, partial expression and provided bilingual data policy templates in Chinese and English. The V5 version has added new features such as data peer review and data identifiers, and updated the data policy classification table.

Business licenses issued by the Department of Business Affairs and Consumer Protection in the City of Chicago from 2006 to the present. This dataset contains a large number of records/rows of data and may not be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Notepad or Wordpad, to view and search.

Data fields requiring description are detailed below.

APPLICATION TYPE: ‘ISSUE’ is the record associated with the initial license application. ‘RENEW’ is a subsequent renewal record. All renewal records are created with a term start date and term expiration date. ‘C_LOC’ is a change of location record. It means the business moved. ‘C_CAPA’ is a change of capacity record. Only a few license types may file this type of application. ‘C_EXPA’ only applies to businesses that have liquor licenses. It means the business location expanded. 'C_SBA' is a change of business activity record. It means that a new business activity was added or an existing business activity was marked as expired.

LICENSE STATUS: ‘AAI’ means the license was issued. ‘AAC’ means the license was cancelled during its term. ‘REV’ means the license was revoked. 'REA' means the license revocation has been appealed.

LICENSE STATUS CHANGE DATE: This date corresponds to the date a license was cancelled (AAC), revoked (REV) or appealed (REA).

Business License Owner information may be accessed at: https://data.cityofchicago.org/dataset/Business-Owners/ezma-pppn. To identify the owner of a business, you will need the account number or legal name, which may be obtained from this Business Licenses dataset.

Data Owner: Business Affairs and Consumer Protection. Time Period: January 1, 2006 to present. Frequency: Data is updated daily.

This data collection contains the behavioural and EEG data from the main experiments conducted in this research project. The main goals of this project were as follows: human visual perception is strongly affected by current expectations and intentions. What is perceived is determined by what is attended, and what is attended is determined by "images in the mind" that guide attention in line with active goals and preferences. This project uses new experimental procedures and new methodological techniques (including temporally precise measures of electrical brain activity) to investigate how many things we can attend to at any time, and to study the adverse consequences of having to simultaneously attend to multiple objects in perception, visual working memory, and action. Are there systematic differences between individuals in their ability to attend to more than one thing at a time? We will also develop new methods to obtain precise measures of the speed of voluntary visual attention shifts: If attention is engaged at a particular location, how fast can it be moved to a new potentially relevant object? Our results suggest that the top-down guidance of attention is faster and more flexible than usually assumed, and we will test whether and under which circumstances this is the case. Our results will have important consequences for current theoretical models of how attention operates. The question how "images in the mind" control conscious experience and voluntary action is central to theories of selective attention. Finding new answers to this question will have important general theoretical and conceptual implications for attention research. But our research is also important from an applied perspective. A defining feature of life in our technologically advanced society is the attentional competition between multiple sources of information, which result in permanent demands on attentional object selection and choice. New insights into how attentional templates guide what individuals perceive and how they choose to act therefore has obvious practical implications for areas as diverse as education, workplace design, and economic decision making. Adaptive perception requires the prioritization of relevant over irrelevant information. When we are looking for a specific book of which we only remember the color of its cover, we can limit our search to mainly that color. The mental representation of what we are looking for is called the attentional template (also target template, search template, attentional set; e.g., Folk et al., 1992). An attentional template is a flexible representation reflecting current selection preferences, as derived from continuously changing task demands and prior selection history. Even though attentional templates are essential for shaping and controlling perception and action in everyday life, surprisingly little is known about their nature. For example, when you look for your car keys, do you look for their shape, their color, or both? In case of the latter, are shape and color integrated in a single representation, or are they independently represented? Can you look for your wallet at the same time, without affecting your "key" template? Furthermore, it is often assumed that visual attention is guided by visual templates, but it is perfectly possible that non-visual types of representation (e.g., semantic codes) are also involved. Finally, the nature of the template may change fundamentally in the course of learning, as a result of selection history. The aim of this collaborative project is to answer some of these fundamental questions. Results are from attention experiments with adult participants conducted in the context of this research project. Both behavioural and EEG data are provided. Experimental procedures and data analysis are described in the published manuscripts attached (see Related resources).

Download the XLS file to be used in Survey123 Connect to create a new RIPA data collection form. In Survey123 Connect select "New Survey", give the new survey a title, then select "File" for initial XLSForm design, naviagte to where this XLS file is stored and select "Create Survey".

These are the templates provided on the World Water website (under 'Add Data') for uploading new data. You must login to see the 'Add Data' option.

Dataset Card for Dataset Name

This dataset card aims to be a base template for new datasets. It has been generated using this raw template.

  Dataset Details







  Dataset Description

Curated by: [More Information Needed] Funded by [optional]: [More Information Needed] Shared by [optional]: [More Information Needed] Language(s) (NLP): [More Information Needed] License: [More Information Needed]

  Dataset Sources [optional]… See the full description on the dataset page: https://huggingface.co/datasets/Nldf/Computer-parts.

The authors have developed a new needlet-based method to detect point sources in cosmic microwave background (CMB) maps and have applied it to the Wilkinson Microwave Anisotropy Probe (WMAP) 7-year data. They use both the individual frequency channels as well as internal templates, the latter being the difference between pairs of frequency channels and hence having the advantage that the CMB component is eliminated. Using the area of the sky outside the Kq85 galactic mask, they detect a total of 2102 point sources at the 5-sigma level in either the frequency maps or the internal templates. Of these, 1116 are detected either at 5 sigma directly in the frequency channels or at 5 sigma in the internal templates and >= 3 sigma at the corresponding position in the frequency channels. Of the 1116 sources, 603 are detections that have not been reported so far in WMAP data. The authors have made a catalog of these sources available with position and flux estimated in the WMAP channels where they are seen. In total, they identified 1029 of the 1116 sources with counterparts at 5 GHz and 69 at other frequencies. This table was created by the HEASARC in July 2012 based on an electronic version of Table 6 from the reference paper which was obtained from the ApJ web site. This is a service provided by NASA HEASARC .

Figures in scientific publications are critically important because they often show the data supporting key findings. Our systematic review of research articles published in top physiology journals (n = 703) suggests that, as scientists, we urgently need to change our practices for presenting continuous data in small sample size studies. Papers rarely included scatterplots, box plots, and histograms that allow readers to critically evaluate continuous data. Most papers presented continuous data in bar and line graphs. This is problematic, as many different data distributions can lead to the same bar or line graph. The full data may suggest different conclusions from the summary statistics. We recommend training investigators in data presentation, encouraging a more complete presentation of data, and changing journal editorial policies. Investigators can quickly make univariate scatterplots for small sample size studies using our Excel templates.

The compressed '.tar.gz' files contain new theoretical Fe II templates that can be used for fitting UV to near-IR (1000-10000 Angstrom) spectra of quasars. The templates were developed using the latest Fe II atomic database of Smyth et al. (2019) within the CLOUDY C23.0 photoionization code with the following set of parameters.

H-ionizing photons flux: 17 ≤ log ΦH (cm−2 s−1) ≤ 22, and

Gas density: 9≤ log nH (cm−3) ≤ 14,

Step size: 0.25 on log scale.

A fixed Hydrogen column density: 10^24 cm−2

Abundance: solar

SED shapes:

(1) Standard "agn.sed", a continuum similar to Mathews & Ferland (1987)

(2) Intermediate SED of (Jin et al., 2012)

The Fe II template is available for the microturbulence values 0, 20, 50 and 100 km/s.

(Note: The Fe II templates are also available in the GitHub link: https://github.com/Ashwani-88/Fe2_template)

Each tar.gz file consists of Fe II templates for different SED shapes. For each SED shape;

The new Fe II templates are available in the directory "Templates_including_only_total_Fe2".

Additionally, we provide templates for the outward and inward Fe II emissions in the directory "Templates_including_outward_Fe2"

The directory for Fe II templates for a microturbulence velocity is named as

turb_vn

where n is the microturbulence velocity in km/s. The files within each directory are named as follows:

phia_nHb_mc.dat

where a = log value of the H-ionizing photon flux in cm−2 s−1,b = log value of the Hydrogen gas density in cm−3, andc = the value of microturbulence in km/s.

Each template file in ``Templates_including_only_total_Fe2'' has two columns

First column: wavelength in Angstrom with 2 Angstrom binning Second column: Fe II line intensity (in erg cm-2 s-1 A-1)

Templates in ``Templates_including_outward_Fe2'' has four columns.

First column: wavelength in Angstrom with 1000 logarithmic bins, each ~ 584 km/s wide, between 1000 and 7000 Angstrom. Second column: Total Fe II line intensity (in erg cm-2 s-1 A-1) Third column: Inward Fe II line intensity (in erg cm-2 s-1 A-1) Fourth column: Outward Fe II line intensity (in erg cm-2 s-1 A-1)

The Fe II line intensity includes a covering factor of 30 % and is scaled for our test object RM 102.

A Right-of-Way Construction Permit is required for any work performed within the City of Richardson's Right-of-Way or Easements. Work must be performed in accordance with local Ordinances and Right of Way Standard Construction Details. This zipfile contains a layer file and a file geodatabase with two feature classes. The 'Districts' polygon feature class is just for reference so that the applicant can determine which district the new asset is in (the layer file will have the saved symbology for ease of use). The 'WirelessFacility' point feature class is where the applicant will edit and input the new asset. There are domains on this feature class which will act as 'drop-downs' when editing.Be sure to unzip the file after downloading so that it can be viewed in ArcMap or ArcGIS Pro.For more information about the geodatabase download the ROW GIS Data Template Instructions.

An excel template with data elements and conventions corresponding to the openLCA unit process data model. Includes LCA Commons data and metadata guidelines and definitions Resources in this dataset:Resource Title: READ ME - data dictionary. File Name: lcaCommonsSubmissionGuidelines_FINAL_2014-09-22.pdfResource Title: US Federal LCA Commons Life Cycle Inventory Unit Process Template. File Name: FedLCA_LCI_template_blank EK 7-30-2015.xlsxResource Description: Instructions: This template should be used for life cycle inventory (LCI) unit process development and is associated with an openLCA plugin to import these data into an openLCA database. See www.openLCA.org to download the latest release of openLCA for free, and to access available plugins.

This dataset contains a common standard template for representing the metadata of stable isotope results environmental samples (e.g., soils, rocks, water, gases) and a CSIRO-specific vocabulary for use across CSIRO research activities. The templates includes core properties of stable isotope results, analytical methods, and uncertainty of analyses, as well as associated metadata such as such as their name, identifier, type, and location. The templates enables users with disparate data to find common ground regardless of differences within the data itself i.e. sample types, collections. The standardized templates can prevent duplicate sample metadata entry and lower metadata redundancy, thereby improving the stable isotope data curation and discovery. They have been developed iteratively, revised, and improved based on feedback from researchers and lab technicians. Use of this template and vocabularies will facilitate interoperable and machine-readable platform-ready data collections.

Lineage: CSIRO, in partnership with the Australian Nuclear Science and Technology Organisation (ANSTO), Geoscience Australia, and the National Measurement Institute, has developed a common metadata template for reporting stable isotope results. The common template was designed to provide a shared language for stable isotope data so that the data can be unified for reuse. Using a simplified data structure, the common template allows for the supply of data from different organisations with different corporate goals, data infrastructure, operating models and different specialist skills. The common ontology describes the different concepts present in the data, giving meaning to the stable isotope observations or measurements of (isotopic) properties of physical samples of the environment. It coordinates this description of samples with standardised metadata and vocabularies, which facilitate machine-readability and semantic cross-linking of resources for interoperability between multiple domains and systems. This is to assist in reducing the need for human data manipulation which can be prone to errors, to provide a machine-readable format for new and emerging technology use-cases, and to also help stable isotope data align with Australia public data FAIR. In addition to the common template, the partners have developed a platform for making unified stable isotope data available for reuse, co- funded by the Australian Research Data Commons (ARDC). The aim of IsotopesAU is to repurpose existing publicly available environmental stable isotope data into a federated data platform, allowing single point access to the data collections. The IsotopesAU platform currently harmonises and federates stable isotopes data from the partner agencies' existing public collections, translating metadata templates to the common template.

The templates have been developed iteratively, revised, and improved based on feedback from project participants, researchers, and lab technicians.

Data Stewardship Wizard (ds-wizard.org) is a flexible questionnaire-based tool that uses Jinja2 templates to produce documents. It allows creating documents in practically any textual format. Such documents can be intended for both humans (HTML, Markdown, reStructuredText, etc.) and machines (e.g. RDF, YAML, or JSON). Our Template Development Kit (DSW TDK) is a command-line tool to make the work on templates efficient. In this tutorial, we demonstrate all the features of TDK (v2.8.1) and also how to access and print out replies from a questionnaire using Jinja2 templates. Video available here: https://youtu.be/FFElv-e24NE Related links: Template repo: github.com/ds-wizard/resume-example-template DSW TDK repo: github.com/ds-wizard/dsw-tdk PyPI: pypi.org/project/dsw-tdk/ Docs: docs.ds-wizard.org Recording parts: (start) = Introduction to templates in DSW 7:20 = Installation of DSW TDK 13:08 = Connecting to DSW API 19:00 = Creating new template 29:06 = Exploring document context 36:57 = Use value questions and replies 44:33 = Use options (and follow-up) questions 54:26 = Use list questions 1:01:06 = Use integration questions 1:10:58 = Creating generic template 1:17:29 = Get template from DSW and investigate it 1:19:23 = Add more formats in a template 1:25:26 = Versioning and packaging a template This work was supported by ELIXIR CZ research infrastructure project (MEYS Grant No: LM2015047).

The UNIC platform (https://unic.dipintra.it) accepts a JSON file for uploading corpus metadata based on the template here. Alternatively, use the spreadsheet template to input the corpus metadata and convert the resulting .xlsm file to JSON using this application at https://huggingface.co/spaces/nannanliu/UNIC_metadata_conversion. When opening the Excel spreadsheet template, please enable Macros, which will automatically validate your input in the columns. Please do not change the order of the columns because they are embedded with code. To add elements and components not included by the UNIC schema, create new columns after the existing ones.