This dataset contains information on all projects funded under the School Facility Program. The data is provided by the Office of Public School Construction under the authority of the Department of General Services. As staff to the State Allocation Board (SAB), the Office of Public School Construction (OPSC) implements and administers the $42 billion voter-approved school facilities construction program, known as the School Facility Program.

This page contains the help documentation for the GIS Open Data Portal. Refer to https://gisdata-csj.opendata.arcgis.com/pages/help.

Universal Analytics data from Google Analytics for the CalHHS Open Data Portal. This data was captured using the depreciated Universal Analytics tool and is no longer available on the web via Google UI or Google APIs. It has been loaded here so that users and the metrics dashboard can access the data.

This dataset supports the SWAMP Data Dashboard, a public-facing tool developed by the Surface Water Ambient Monitoring Program (SWAMP) to provide accessible, user-friendly access to water quality monitoring data across California. The dashboard and its associated datasets are designed to help the public, researchers, and decision-makers explore and download monitoring data collected from California’s surface waters.

This dataset includes five distinct resources:

• SWAMP Stations – Geospatial and descriptive information about SWAMP monitoring sites.
• Water Quality Results – Field and lab analysis results for chemical and physical parameters measured in water samples.
• Toxicity Summary Results – Summarized results from aquatic toxicity tests. Summary records are entries in the database that summarize the results from multiple replicate toxicity tests of the same sample water.
• Habitat Results – Data on physical habitat conditions typically collected alongside biological monitoring to provide context for interpreting water quality conditions. Includes scores for the California Stream Condition Index (CSCI) and Algal Stream Condition Index (ASCI).
• Tissue Summary Results – Annual summary statistics of contaminant concentrations in aquatic organism tissue samples. The data are derived from raw individual and composite tissue sample results.

These data are collected by SWAMP and its partners to support water quality assessments, identify trends, and inform water resource management. The SWAMP Data Dashboard provides interactive visualizations and filtering tools to explore this data by region, parameter, and more.

The SWAMP dataset is sourced from the California Environmental Data Exchange Network (CEDEN), which serves as the central repository for water quality data collected by various monitoring programs throughout the state. As such, there is some overlap between this dataset and the broader CEDEN datasets also published on the California Open Data Portal (see Related Resources). This SWAMP dataset represents a curated subset of CEDEN data, specifically tailored for use in the SWAMP Data Dashboard.

Access the SWAMP Data Dashboard: https://gispublic.waterboards.ca.gov/swamp-data/

*This dataset is provisional and subject to revision. It should not be used for regulatory purposes.

This dataset includes field and lab chemistry data that has been submitted to the California Environmental Data Exchange Network (CEDEN), but has not been loaded into the CEDEN database. It is a subset of the chemistry data that has been submitted to CEDEN since approximately December 2020, and supplements the data found in both the main Surface Water - Chemistry Results dataset and the CEDEN Query Tool (i.e., this augmentation data is not included in the data available from either of those sources). For consistency, many of the conditions applied to the other CEDEN data found on this portal and in the CEDEN query tool are also applied to this supplemental dataset (e.g., no rejected data or replicates are included). However, this supplemental data is provisional and may not reflect all of the QA/QC controls applied to the regular CEDEN data.

This dataset also contains two provisionally assigned values (“DataQuality” and “DataQualityIndicator”) to help users interpret the data quality metadata provided with the associated result (like the main Surface Water - Chemistry Results dataset referenced above).

City of San José is committed to an open, honest, and effective government and strives to consistently meet the community’s expectations for excellent services in a positive and timely manner, and in full view of the public. With the advancement in information technologies and the increasing ability to share data more easily across multiple platforms and online, appropriate leveraging of these tools to make information accessible and usable by the public can help improve public service delivery and fuel entrepreneurship and innovation. The Open Data Portal serves as means to implement the City’s Open Data Policy and Open Data Community Architecture which is intended to help the City better utilize its data. Open Data is an important component of this commitment; through making its data publicly available and easily accessible, the City will empower the community to engage with government on a new level and stimulate new ideas, new services, and new economic opportunities. In addition, Open Data will provide a new platform to increase the sharing of information among City departments, improving the City’s ability to deliver services to the community efficiently and effectively. To help achieve these outcomes. To get started please go to the OpenGov Open Data Training page.

This report provides common criteria to help identify high value datasets and provide examples of common types of high value datasets. It was based on jurisdictional scans of high value dataset criteria, recent surveys, and international standards

Data set containing the number of visits to the open data portal, i.e. the number of visitors and page views per day of the year.

In Canada’s Third Biennial Plan to the Open Government Partnership, the Government of Canada committed to “increase the quality and visibility of federal data holdings and set measurable targets for the release of open data over the next five years”(Commitment #3 : Expand and Improve Open Data). In order to monitor our progress, we have released this dataset to captures the number of datasets that have been released in the past year, as well as the estimated number of datasets that organizations plan on releasing by June 2018, November 2018 and March 2019.

The GIS Open Data Portal is designed to provide the public with simple and open access to high quality, location-based data free of charge. This portal provides capabilities to view, download, visualize, and analyze available data. This is the new GIS open data portal launched 08/26/2020.

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This file provides a metadata mapping between the Government of Canada’s Open Data Metadata Element Set and Canadian Provincial and Territorial Open Data Metadata Element Sets, where applicable. This was completed as part of a commitment made in the Government of Canada’s 4th National Action Plan, 10.6 Implement a pilot project to move toward cross-jurisdictional common data standards in line with the International Open Data Charter and other international standards – A Cross-jurisdictional metadata mapping is completed with a common set of core elements. Metadata elements were collected from open data portal throughout Canada, and this metadata mapping was completed in collaboration from the contributing provinces and territories.

Compilation of statistical information about access to information and privacy submitted by government institutions subject to the Access to Information Act and the Privacy Act.

The Department of Health Care Services (DHCS) Long-Term Services and Supports (LTSS) Data Dashboard is an initiative of the Home and Community Based Services Spending Plan. The initiative's primary goal is to create a public-facing LTSS data dashboard to track demographic, utilization, quality, and cost data related to LTSS services. This dashboard will link statewide long-term care and home and community-based services (HCBS) data with the goal of increased transparency to make it possible for regulators, policymakers, and the public to be informed while the state continues to expand, enhance, and improve the quality of LTSS in all home, community, and congregate settings.

The first iteration of the LTSS Dashboard was released in December 2022 as an Open Data Portal file with 40 measures pertaining to LTSS beneficiaries, which includes ten different demographics, plan-related dimensions, and dual stratification. The December 2023 Data Release includes 16 new measures on the Medi-Cal LTSS Dashboard and Open Data Portal (Select “View Underlying Data”); and additional measures and dimensions, including dual stratification, will be added to the Open Data Portal in 2024.

Note: The LTSS Dashboard measures are based on certified eligible beneficiaries who were enrolled in Medi-Cal for one or more months during the reporting interval. Most of the DHCS LTSS dashboard measures report the annual number of certified eligible Medi-Cal beneficiaries who have used LTSS services within a year. Other departments may report on these programs differently. For example, the Department of Social Services (CDSS) reports monthly IHSS recipient/consumer counts. The California Department of Aging (CDA) reports monthly CBAS Medi-Cal participants. DHCS’ annual utilization / enrollment counts of IHSS and CBAS beneficiaries are larger than CDSS/CDA's monthly counts because of data source differences and new enrollment or program attrition over time. Monthly snap-shot measures (average monthly utilization) for IHSS and CBAS have been added to the LTSS Dashboard to align with CDSS and CDA monthly reporting.

Refer to the LTSS-Dashboard (ca.gov) program page for: 1) a Fact Sheet with highlights from the initial data release including changes over time in use of Home and Community-Based Services as well as select demographic information; 2) the Measure Specifications document – that describes business rules and inclusion/exclusion criteria related to age groups, plan types, aid code, geographic, or other important program/waiver-specific eligibility criteria; and 3) User guide – that shows how to navigate the Open Data Portal data file with specific examples.

Description:

The dataset reflects the damage sustained by structures across various fire incidents, categorized by damage percentage—ranging from minor damage (1-10%) to complete destruction (50-100%) and collected by field inspectors who evaluate structures impacted by wildland fires.

This dataset is invaluable for fire prevention, emergency response, and disaster management efforts.

Attribute Statement:

This dataset is provided by the California Department of Forestry and Fire Protection (CAL FIRE) in collaboration with the National Interagency Fire Center (NIFC) and the Fire Integrated Real-Time Intelligence System (FIRIS).

No Endorsement Statement:

The publication of this dataset does not imply endorsement by CAL FIRE, NIFC, or any associated entities. The data is provided "as-is" without any guarantees regarding accuracy or completeness.

Citation:

CAL FIRE, "California Wildfire Perimeter Data: Real-Time Insights from FIRIS & NIFC," California Open Data Portal. Available at: https://gis.data.cnra.ca.gov/datasets/CALFIRE-Forestry::ca-perimeters-nifc-firis-public-view

License:

This dataset is shared under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

Provenance:

This dataset is sourced from the California Open Data Portal and is maintained by CAL FIRE and associated agencies.
- Original Source: California Open Data Portal - FIRIS Dataset
- Data Collection Methods:
- Data transmitted from satellites and aerial infrared platforms.
- Near-real-time processing for fire perimeter modeling by WIFIRE.
- Decision support integration through Intterra's software.

DISCLAIMER: Please independently verify the data and it's derivation(s) before applying it to research or decision-making.

This political map of South America shows national boundaries, country names and oceans.