Ce jeux de données regroupe l'ensemble des archives d'intégration du RPG public (source IGN) pour la période 2015-2021. Le format est conçu pour être intégré au logiciel RPG Explorer via la procédure de chargement des archives. Pour plus de renseignement sur le logiciel ou l'usage de ces archives, vous pouvez contacter l'équipe RPG Explorer (rpg-explorer@inrae.fr)

Welcome to CityExplorer, the City of Yellowknife's online interactive map tool. You can find locations, features and addresses within the city quickly and easily. With CityExplorer, you have the ability to create your own custom maps based on the area you are interested in, the level of detail you want, and even how you want your map to look. You can then save or print your map as PDF for future reference or send a link of your map to a friend! So go ahead, and explore Yellowknife!

This dataset contains the name and geography ID of all the groundwater basins in Arizona. The purpose of this feature class is to provide service area boundaries for community water systems regulated by the Arizona Department of Water Resources.Use this spatial data to join data tables downloaded from the Arizona EPHT Explorer that has the "Geography" filter set to "PWS Service Areas (Public Water System)". his feature class contains service area polygons for each Community Water System (CWS). To determine the service area, ADWR utilized primary data provided directly from the water system (i.e. PDF, shapefile, verbal definition). If primary data is unavailable, secondary data was utilized to determine service area boundaries (i.e. Certificate of Convenience and Necessity (CCN), Census Designated Place shapefile from U.S Census Bureau.) New water systems are added, and contact information is updated for existing water systems on an annual basis.Environmental Public Health Tracking (EPHT) is a tool to help Arizonans learn about environmental hazards in the state that could impact their health. EPHT was built on the idea that health and environmental problems are not always separate issues with unrelated solutions. EPHT has gathered data from national and local sources in order to view both environmental and health outcome data in one easily accessible place. For example, Arizonans can review air quality information and compare the information with respiratory issues such as asthma. Dataset and web based maps display a variety of topics in the Environmental Public Health Tracking network. For more information about where to download the data tables and how, feel free to visit the Arizona EPHT Explorer or the Environmental Public Health Tracking webpage. Last Update: March 2022Update Frequency: Annually

Environmental Public Health Tracking (EPHT) is a tool to help Arizonans learn about environmental hazards in the state that could impact their health. EPHT was built on the idea that health and environmental problems are not always separate issues with unrelated solutions. EPHT has gathered data from national and local sources in order to view both environmental and health outcome data in one easily accessible place. For example, Arizonans can review air quality information and compare the information with respiratory issues such as asthma.

This dataset tracks annual total students amount from 2016 to 2023 for Explorer Academy

This is a link to the Payroll Explorer to query payroll data for State Agency employees.

icon used for the capital projects explorer public works project type

Export DataAccess API

Metadata Portal Metadata Information

This dataset tracks annual total classroom teachers amount from 2012 to 2023 for Explorer Academy

With the "Public Data" portal, Google provides a collection of visualization options for publicly accessible data sets. The statistical data sets from the areas of budget, demographics and economy from the OGD portal of the city of Vienna have been read in by Google and can be combined and displayed in various ways. Line, bar and bubble diagrams are possible as well as a representation on a geographical map. The data can be set in relation to each other and for records with time series an animation can be started over the time series. The individually created visualizations can be forwarded via a link or integrated into your own website.

The California Natural Resources Agency’s Access for All Initiative and 30x30 set a goal of equitable access for all to the state’s natural and open spaces. This dashboard helps illustrate the current challenges and highlights opportunities. The Access Explorer shows statewide measures of the population living within a half mile of any open space such as a park with public access contained within the Conserved Areas database, whether it meets the 30x30 definition of conserved or not. You can then compare those measures to areas that meet the 30x30 definition or to the population overall. The Access Explorer is a work in progress. Enhancements will be informed by an Outdoors for All roadmap due out in early 2023. The demographics were compiled from ESRI Demographics in March 2022.

Map application to explore Ames Public Art Commission art work on display around Ames.

The city of Dallas is home to numerous art installation for the public to enjoy. To help citizens learn more about the artistic resources in Dallas the Office of Arts and Culture has created a detailed catalogue of public art. Using this application, residents can browse through high resolution images of art work located them on the map, selecting the art presents the user with detailed information in the artwork, the artist who created it, accession number, coordinates in longitude and latitude as well as some specific details about the piece and how it came to be. The application is featured in the story map The Artistic Treasure of Dallas - Overview and depends on the services Public Art Installations View Only - Overview and Public Art Installations - Overview. The application was last updated in 2022.

311 service requests on public property. With this dataset you will be able to:

• view the various types of service requests on public property that have been generated in a neighborhood, ward or across the city;
• see the status of service requests; or
• use maps or charts for analysis of neighbourhoods.

This dataset contains precise locations, but only requests for service on public property.

For data on all 311 requests (including those on private property) see 311 Requests, where location is anonymized to the level of neighbourhood to preserve individuals' privacy.

This dataset tracks annual distribution of students across grade levels in Explorer Community School

This dataset contains bitcoin transfer transactions extracted from the Bitcoin Mainnet blockchain.

Part1 is available at https://zenodo.org/deposit/7157356 Part3 is available at https://zenodo.org/deposit/7158133 Part4 is available at https://zenodo.org/deposit/7158328

Details of the datasets are given below:

FILENAME FORMAT:

The filenames have the following format:

btc-tx---.bz2

where is the starting block number, final block number, and is the split part of the file.

For example file btc-tx-100000-149999-aa.bz2 and the rest of the parts if any contain transactions from

block 100000 to block 149999 inclusive.

The files are compressed with bzip2. They can be uncompressed using command bunzip2.

TRANSACTION FORMAT:

Each line in a file corresponds to a transaction. The transaction has the following format:

Type of transaction (i.e. BTC-IN or BTC-OUT).

Number of the block which contains the transaction.

Position of the transaction in the block (i.e. transaction number in the block).

Source bitcoin address/transaction of the transfer.

Destination bitcoin address/transaction of the transfer.

Amount of transfer.

BLOCK TIME FORMAT:

The block time file has the following format:

Number of the block.

Unix timestamp at which the block is mined as a hexadecimal number.

IMPORTANT NOTE:

Public Bitcoin Mainnet blockchain data is open and can be obtained by connecting as a node on the blockchain or by using the block explorer web sites such as https://btcscan.org . The downloaders and users of this dataset accept the full responsibility of using the data in GDPR compliant manner or any other regulations. We provide the data as is and we cannot be held responsible for anything.

NOTE:

If you use this dataset, please do not forget to add the DOI number to the citation.

If you use our dataset in your research, please also cite our paper: https://link.springer.com/chapter/10.1007/978-3-030-94590-9_14

@incollection{kilicc2022analyzing, title={Analyzing Large-Scale Blockchain Transaction Graphs for Fraudulent Activities}, author={K{\i}l{\i}{\c{c}}, Baran and {"O}zturan, Can and {\c{S}}en, Alper}, booktitle={Big Data and Artificial Intelligence in Digital Finance}, pages={253--267}, year={2022}, publisher={Springer, Cham} }

The ship will conduct 24 hour operations consisting of daytime ROV dives and evening/nighttime mapping operations including during transit. During this cruise we will conduct primarily 8 hour ROV dives with occasional 10 or 12 hour dives on particularly interesting or deep water dive sites, as staffing allows. ROV operations will focus in depths between 250 and 6,000 meters and will include high-resolution visual surveys and limited sample collection. Mapping operations will be conducted in 250m of water and deeper, and include transit and overnight multibeam, water column backscatter, and sub-bottom data collection. Opportunistic CTD rosette operations may be requested to collect more information about the environmental parameters at ROV dives sites, or opportunistically at selected sites where collecting the data is considered important to understanding the physical or chemical properties of the overlying water column. ROV and mapping operations will not be conducted in state waters. Dive(s) will also be devoted to searching for ship’s lost during the World War II Battle of Midway with an emphasis on finding the main wreck of the Japanese Aircraft Carriers Kaga. Data collected by OER that is considered sensitive will be protected from direct public release until such time as a final determination can be made as to permanent protection. If data are found to be sensitive because they reveal the location of a historically significant cultural resource, Section 304 of the National Historic Preservation Act provides that the head of a Federal agency or other public official shall withhold from public disclosure information about the location, character, or ownership of a historic property when disclosure may cause a significant invasion of privacy; risk harm to the historic property; or impede the use of a traditional religious site by practitioners. Data collected by the EX that is considered sensitive will be archived in a location where it can be withheld from public disclosure.

Tn-seq is a high throughput technique for analysis of transposon mutant libraries. Tn-seq Explorer was developed as a convenient and easy-to-use package of tools for exploration of the Tn-seq data. In a typical application, the user will have obtained a collection of sequence reads adjacent to transposon insertions in a reference genome. The reads are first aligned to the reference genome using one of the tools available for this task. Tn-seq Explorer reads the alignment and the gene annotation, and provides the user with a set of tools to investigate the data and identify possibly essential or advantageous genes as those that contain significantly low counts of transposon insertions. Emphasis is placed on providing flexibility in selecting parameters and methodology most appropriate for each particular dataset. Tn-seq Explorer is written in Java as a menu-driven, stand-alone application. It was tested on Windows, Mac OS, and Linux operating systems. The source code is distributed under the terms of GNU General Public License. The program and the source code are available for download at http://www.cmbl.uga.edu/downloads/programs/Tn_seq_Explorer/ and https://github.com/sina-cb/Tn-seqExplorer.

Half-mile access sheds to open access open space in the conservation areas dataset built for CA Nature. Each has been intersected to a city and county dataset to allow summarization of demographics. These were then enriched using ESRI's geoenrichment services to provide select demographics. Three layers are included:1. Half-mile access sheds from open access areas considered 30x30 Conservation Areas (GAP Code 1 and 2)2. Half-mile access sheds from open access areas in the Conservation Areas dataset (GAP Codes 1, 2, 3, 4)3. All city and county areas to provide baseline demographics for comparison. Demographic variables include:PopulationAge DistributionEducational AttainmentHousing Unit OccupancyHispanic or Latino OriginRaceHousehold income

Important Note: This item is in mature support as of February 2024 and is no longer being updated. A new version of this item is available for your use.This web application highlights some of the capabilities for accessing Landsat imagery layers, powered by ArcGIS for Server, accessing Landsat Public Datasets running on the Amazon Web Services Cloud. The layers are updated with new Landsat images on a daily basis.Created for you to visualize our planet and understand how the Earth has changed over time, the Esri Landsat Explorer app provides the power of Landsat satellites, which gather data beyond what the eye can see. Use this app to draw on Landsat's different bands to better explore the planet's geology, vegetation, agriculture, and cities. Additionally, access the entire Landsat archive to visualize how the Earth's surface has changed over the last forty years.Quick access to the following band combinations and indices is provided:Agriculture : Highlights agriculture in bright green; Bands 6, 5, 2Natural Color : Sharpened with 15m panchromatic band; Bands 4, 3, 2 +8Color Infrared : Healthy vegetation is bright red; Bands 5, 4 ,3 SWIR (Short Wave Infrared) : Highlights rock formations; Bands 7, 6, 4Geology : Highlights geologic features; Bands 7, 6, 2Bathymetric : Highlights underwater features; Bands 4, 3, 1Panchromatic : Panchromatic images at 15m; Band 8Vegetation Index : Normalized Difference Vegetation Index(NDVI); (Band 5 - Band 4)/(Band 5 + Band 4)Moisture Index : Normalized Difference Moisture Index (NDMI); (Band 5 - Band 6)/(Band 5 + Band 6)SAVI : Soil Adjusted Veg. Index); Offset + Scale*(1.5*(Band 5 - Band 4)/(Band 5 + Band 4 + 0.5))Water Index : Offset + Scale*(Band 3 - Band 6)/(Band 3 + Band 6)Burn Index : Offset + Scale*(Band 5 - Band 7)/(Band 5 + Band 7)Urban Index : Offset + Scale*(Band 5 - Band 6)/(Band 5 + Band 6)Optionally, you can also choose the "Custom Bands" or "Custom Index" option to create your own band combinationsThe Time tool enables access to a temporal time slider and a temporal profile of different indices for a selected point. The Time tool is only accessible at larger zoom scales. It provides temporal profiles for NDVI (Normalized Difference Vegetation Index), NDMI (Normalized Difference Moisture Index) and Urban Index. The Identify tool enables access to information on the images, and can also provide a spectral profile for a selected point. The Stories tool will direct you to pre-selected interesting locations.The application is written using Web AppBuilder for ArcGIS accessing imagery layers using ArcGIS API for JavaScript.The following Imagery Layers are being accessed : Multispectral Landsat - Provides access to 30m 8-band multispectral imagery and a range of functions that provide different band combinations and indices.Pansharpened Landsat - Provides access to 15m 4-band (Red, Green, Blue and NIR) panchromatic-sharpened imagery.Panchromatic Landsat - Provides access to 15m panchromatic imagery. These imagery layers can be accessed through the public group Landsat Community on ArcGIS Online.