AndreaBozzo/ceres-open-data-index huggingface dataset:
Utility Hydroelectric Generation by Size and County: 2018

<span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>This document provides a map of California and at each county a pie-chart depicts the proportion of electrical generation from small or large hydroelectric facilities. The second page provides the same county-level data except each county's total hydroelectric generation (gigwatt hours) is also given. The total statewide utility-scale electrical generation from these sources is depicted as well as the total contribution from each source. All data is from 2018. </span>
Vegetation - Fish Slough [ds985]

<div style='text-align:Left;'><div><div><p><span>A fine-scale vegetation classification and map of a portion of the Fish Slough Area of Critical Environmental Concern (ACEC) (including the California Department of Fish and Wildlife (CDFW) Fish Slough Ecological Reserve) in Inyo and Mono Counties, California, was created by the CDFW Vegetation Classification and Mapping Program (VegCAMP). The vegetation classification is derived from floristic field survey data collected during September 2011, November 2012 and June 2013 and is based on previously described Alliances and Associations, with a few new provisional types included. The map was produced using heads-up digitizing using true-color 2012 1-meter National Agricultural Imagery Program (NAIP) imagery as the base. Supplemental imagery included 2012 1-meter NAIP Color Infrared and imagery available through Bing Maps and Google Earth. The minimum mapping unit (MMU) is 1 acre for upland habitats and ¼-acre for wetland habitats. Field reconnaissance and field verification enhanced map quality. The final map includes a total of 365 polygons representing 40 vegetation map classes.</span></p></div></div></div>
CalEnviroScreen 4.0

CalEnviroScreen is a mapping tool that helps identify California communities that are most affected by many sources of pollution, and where people are often especially vulnerable to pollution’s effects. CalEnviroScreen uses environmental, health, and socioeconomic information to produce scores for every census tract in the state. The scores are mapped so that different communities can be compared. An area with a high score is one that experiences a much higher pollution burden than areas with low scores. CalEnviroScreen ranks communities based on data that are available from state and federal government sources.
Salmonid Population Monitoring Areas - California - CMP [ds3001]

The California Monitoring Plan (CMP) salmonid monitoring areas and associated population data are part of an ongoing effort to summarize existing and past salmonid monitoring efforts in the areas identified by Adams et al. 2011. These data are compiled and maintained by the California Department of Fish and Wildlife with the cooperation of monitoring practitioners. Updates and associated outreach are intended to occur on an annual basis. Data were created from several sources and existing datasets: some monitoring areas were accurately depicted using the USGS National Hydrography Dataset (NHD), other monitoring areas were approximated using the monitoring point location and the USGS StreamStats tool to depict the watershed area above that point. The areas are intended to represent the approximate extent of sampling within sub-basins, watershed areas, or regions. For example, the spatial extent of monitoring using a fixed count station is approximated by accounting for all anadromous fish habitat upstream of the sampling location. Therefore, the area is approximated by entering the monitoring location coordinates into the StreamStats tool. The resulting shapefile is then examined to ensure the watershed area did not include habitat above dams or barriers to migration. Areas were clipped when needed. The data user should recognize that errors may have occurred during production of this dataset, changes may have occurred to the external sources used post transfer, and for other possible reasons. The population metrics summarized in the associated tabular data may be regarded as spatially limited, temporally limited, and not considered a complete estimate for the population being described. The data user is advised to refer to the annual reports cited in the Source field from the tabular data for additional details regarding monitoring within the area spatially depicted.Abbreviation Definitions: SGS = Spawning Ground Survey, RM = River Mile, RST = Rotary Screw Trap, RKM = River Kilometer, FCS = Fixed Count Station, STH = Steelhead, CC = Coastal Chinook, DS = Downstream
Utility Hydroelectric Generation by Size and County: 2019

<span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>This document provides a map of California and at each county a pie-chart depicts the proportion of electrical generation from small or large hydroelectric facilities. The second page provides the same county-level data except each county's total hydroelectric generation (gigwatt hours) is also given. The total statewide utility-scale electrical generation from these sources is depicted as well as the total contribution from each source. All data is from 2019. </span>
Salmonid Population Monitoring Areas - California - CMP [ds3001] Extended Table

The California Monitoring Plan (CMP) salmonid monitoring areas and associated population data are part of an ongoing effort to summarize existing and past salmonid monitoring efforts in the areas identified by Adams et al. 2011. These data are compiled and maintained by the California Department of Fish and Wildlife with the cooperation of monitoring practitioners. Updates and associated outreach are intended to occur on an annual basis. Data were created from several sources and existing datasets: some monitoring areas were accurately depicted using the USGS National Hydrography Dataset (NHD), other monitoring areas were approximated using the monitoring point location and the USGS StreamStats tool to depict the watershed area above that point. The areas are intended to represent the approximate extent of sampling within sub-basins, watershed areas, or regions. For example, the spatial extent of monitoring using a fixed count station is approximated by accounting for all anadromous fish habitat upstream of the sampling location. Therefore, the area is approximated by entering the monitoring location coordinates into the StreamStats tool. The resulting shapefile is then examined to ensure the watershed area did not include habitat above dams or barriers to migration. Areas were clipped when needed. The data user should recognize that errors may have occurred during production of this dataset, changes may have occurred to the external sources used post transfer, and for other possible reasons. The population metrics summarized in the associated tabular data may be regarded as spatially limited, temporally limited, and not considered a complete estimate for the population being described. The data user is advised to refer to the annual reports cited in the Source field from the tabular data for additional details regarding monitoring within the area spatially depicted.Abbreviation Definitions: SGS = Spawning Ground Survey, RM = River Mile, RST = Rotary Screw Trap, RKM = River Kilometer, FCS = Fixed Count Station, STH = Steelhead, CC = Coastal Chinook, DS = Downstream
California's Groundwater Update 2020 (Bulletin 118)

California's Groundwater Update 2020 (CalGW) is California's foremost technical publication on groundwater in the state of California. CalGW, formally known as Bulletin 118, is legislatively mandated by Water Code 12924 to be updated every 5 years by the California Department of Water Resources. 

This dataset includes the full publication of CalGW - Update 2020, a link to the new [California's Groundwater Live](https://sgma.water.ca.gov/CalGWLive/) platform and all supporting data used in the creation of the report which was finalized on November 16, 2021. CalGW - Update 2020 consists of an Executive Summary (Highlights) and seven chapters commonly referred to as the Statewide Report. Due to the large file sizes, the Update has been broken into multiple pdf documents for the ease of downloading these large files. 

For more information on California's Groundwater (Bulletin 118) including historical publications please visit [California's Groundwater (Bulletin 118) Open Data Page](https://data.cnra.ca.gov/dataset/california-s-groundwater-bulletin-118-archive).
2023TulareFloodingIncident Flood Structure Status Map

<p style='margin-bottom:0in;'><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif; color:#666666; background:white;'>This map feeds into a web app
that allows a user to examine the known status of structures damaged by the flooding. If a structure point does not appear on the map it may still have
been impacted by the fire. Specific addresses can be searched for in the search
bar. Use the imagery and topographic basemaps and photos to
positively identify a structure. Photos may only be available for damaged and
destroyed structures.</span></p><p style='margin-bottom:0in;'><span style='color:rgb(102, 102, 102); font-family:Arial, sans-serif; font-size:12pt;'><br /></span></p><p style='margin-bottom:0in;'><span style='color:rgb(102, 102, 102); font-family:Arial, sans-serif; font-size:12pt;'>For more information about the wildfire
response efforts, visit the CAL FIRE </span><a href='https://www.fire.ca.gov/incidents/' style='font-family:Arial, sans-serif; font-size:12pt;' target='_blank' rel='nofollow ugc noopener noreferrer'><span style='color:#0079C1;'>incident page</span></a><span style='color:rgb(102, 102, 102); font-family:Arial, sans-serif; font-size:12pt;'>.</span></p>
Utility Hydroelectric Generation by Size and County: 2020

<span style='font-family:&quot;Avenir Next&quot;, &quot;Avenir Next&quot;; font-size:16px;'>Energy generation data and map are from the California Energy Commission and include utility scale power plants, with a nameplate capacity of 1MW or more. Small hydroelectric plants are designated as renewable energy sources. Large hydroelectric plants are classified as nonrenewable. Counties without symbols either did not have plants reporting data or had no utility-scale hydroelectric power generation. Data is for2020 and is current as of July 15, 2022. For more information, contact Rebecca Vail at (916) 477-0738 or John Hingtgen at (916) 510-9747.</span>
Airborne electromagnetic (AEM) Pilot Studies

Airborne electromagnetic (AEM) geophysical data were collected in California as a part of AEM pilot studies. The purpose of the AEM pilot studies was to inform the development of the Department of Water Resources’ (DWR’s) statewide AEM survey project. The AEM pilot studies were conducted in three areas: Butte and Glenn Counties, San Luis Obispo County, and Indian Wells Valley. The AEM surveys were conducted from 2018 through 2020 and were led by Stanford University with participants from the academic and private sectors, and local and state water agencies.  All data used, collected, or created as a part of the AEM pilot studies are provided here.

The AEM pilot studies were funded by grants from DWR, the Ministry of Denmark, and three local agencies (Butte County, Indian Wells Valley Water District, and San Luis Obispo County - Paso Robles). Pilot study participants included Stanford University, Aarhus University, Aqua Geo Frameworks, Ramboll, I-GIS, SkyTEM, University of California Davis, California State University Sacramento, California State University Chico, Parker Groundwater, the Danish Water Technology Alliance, the Danish Environmental Protection Agency, Glenn County Department of Water Resource Conservation, Butte County Department of Water Conservation, Indian Wells Valley Water District, and San Luis Obispo County.
Adapting To Rising Tides Bay Area Sea Level Rise and Shoreline Analysis Maps

The regional flooding and shoreline overtopping analysis maps provided in the ART Bay Shoreline Flood Explorer website capture permanent and temporary flooding impacts from sea level rise scenarios from 0- to 108-inches above MHHW (mean higher high water) and storm surge events from the 1-year to the 100-year storm surge. The process used to develop the maps included discussions with key stakeholders in each county, who reviewed the preliminary maps and provided on-the-ground verification and supplemental data to improve the accuracy of the maps. The maps and information produced through this effort can inform adaptation planning, assist in managing climate change risks, and help identify trigger points for implementing adaptation strategies to address sea level rise and flooding hazards, at both local and regional scales.

The Flood Explorer maps were produced using the latest LiDAR topographic data sets, water level outputs from the FEMA San Francisco Bay Area Coastal Study (which relied in hydrodynamic modeling using MIKE21) and the San Francisco Tidal Datums Study. The 2010/2011 LIDAR applied (collected by USGS and NOAA at a 1-m resolution) was further refined through the stakeholder review process and integration of additional elevation data where available. The Flood Explorer also includes the regional shoreline delineation developed by the San Francisco Estuary Institute to represent coastal flooding and overtopping throughout the Bay Area. In sum, the maps include: 1) Flooding at ten total water levels that capture over 90 combinations of future sea level rise and storm surge scenarios; 2) Shoreline overtopping maps for all ten total water levels that depict where the Bay may overtop the shoreline and its depth of overtopping at that specific location. Coupled with the flood maps, the overtopping data can help identify vulnerable shoreline locations and their respective flow paths that could lead to inland flooding, and; 3) Hydraulically disconnected low-lying areas that represent areas that may be vulnerable to flooding due to their low elevation. These areas are not directly within flooding locations, but could be connected to flood waters through culverts and storm drains that are not captured in this analysis.
VTools and PyDSS (Python 2.7 64 bit only)

# VTools for Python 2.7 64 bit windows

VTools is an open-source program, and the source codes are available at GitHub: [https://github.com/CADWRDeltaModeling/vtools](https://github.com/CADWRDeltaModeling/vtools). Users can grab the source codes and install from them, or download and use binary installers.
<br/>
Documentation of VTools is available on GitHub as well: [https://cadwrdeltamodeling.github.io/vtools/](https://cadwrdeltamodeling.github.io/vtools/)
Utility Hydroelectric Generation by Size and County: 2021

<span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>This document provides a map of California and at each county a pie-chart depicts the proportion of utility-scale electrical production capacity coming from small or large hydroelectric facilities. The second page provides the same county-level data except each county's total hydroelectric capacity (megawatts) is also given. The total statewide capacity generated from these sources is depicted as well as the total contribution from each source. All data is from 2012. </span>
Utility Natural Gas Capacity and Generation by Jurisdiction and County: 2021

<span style='font-family:&quot;Avenir Next&quot;, &quot;Avenir Next&quot;; font-size:16px;'>Power plant capacity data and map are from the California Energy Commission. The CEC licenses thermal power plants 50 megawatts (MW) and greater and the infrastructure serving the plants such as electric transmission lines, fuel supply lines, and water pipelines. These licensed plants are referred to as jurisdictional plants. This map depicts the capacity of CEC-licensed(jurisdictional) natural gas power plants and non-jurisdictional natural gas plants. Counties without symbols had no natural gas power plants. Data is from 2021 and is current as of August 23, 2022. Projection: NAD 1983 (2011)California (Teale) Albers (Meters). For more information, contact Rebecca Vail at (916) 477-0738 or John Hingtgen at (916) 510-9747.</span>
HEC DSSVue Plugins

# Introduction
Plugins written to extend HEC-DSSVue

# Godin Filter
Godin filters are used to remove tidal signals from timeseries of stage, flow and other such variables.
This plugin adds a menuitem "Godin Filter" to the "Tools" menu. Select the pathname and then click on this menu item and it will add the godin filtered pathname to the same dss file. The current time window is honored so please be sure to clear it if you want to calculate it for the entire window of that pathname.

# CDEC download filter
CDEC is California DWR's repository of water data available as a web service.
This plugin adds a menu item to the "Data Entry" | "Import" item. It is similar to the one offered by the HEC-DSSVue but has easier lookup as well as faster downloads (via parallel downloads)
CALAND version 3

The California Natural and Workings Lands Carbon and Greenhouse Gas Model (CALAND) v3 estimates the effects of more than 16 specific land management activities on California’s landscape carbon budget. The model is based on field data from California and includes interactions among land management activities, wildfire, land use and cover change, and climate. Outputs include annual estimates of carbon stocks and fluxes, carbon dioxide and methane emissions, wood product storage and decay, and potential bioenergy feedstock. A map of the initial (2010) spatial delineation of land categories used by CALAND is included.
DCD v1.0

Delta Channel Depletion (DCD v1.0) is an extension of Delta Evapotranspiration of Applied Water (DETAWv2.0). Based on the estimation of Delta ground surface water balance by DETAW v2.0, DCD v1.0 simulates the daily channel depletions, including diversions, drainages and seepages, in the Sacramento-San Joaquin River Delta and distributes them on the Delta Simulation Model 2(DSM2) nodes. The package includes the model code, model inputs, technical reports, preliminary user’s manual, and necessary software to support the model.
Utility Renewable and BTM PV Generation by Type and County: 2018

<span style='box-sizing:border-box; max-width:100%; font-size:16px; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif;'>Map of 2018 Utility Scale Renewable Electrical Generation Types by County and </span><font style='box-sizing:border-box; max-width:100%; font-family:&quot;Avenir Next&quot;, &quot;Avenir Next&quot;; font-size:16px;'>2018 Behind the Meter Solar Photovoltaic in MW.</font>
California Marine Protected Areas [ds582]

These data include all of Californias marine protected areas (MPAs) as January 1, 2019. This dataset reflects the Department of Fish and Wildlifes best representation of marine protected areas based upon current California Code of Regulations, Title 14, Section 632: Natural Resources, Division 1: FGC- DFG. This dataset is not intended for navigational use or defining legal boundaries.This version includes records for complementary federal marine protected areas at the northern Channel Islands. Details on these areas can be referenced at http://federalregister.gov/a/E7-10096.
Metropolitan Planning Organization Boundaries

<span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>The metropolitan planning organization (MPO) polygon feature class provides California MPO legislative boundaries, primarily for regional planning applications.</span><div><span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><br /></span></div><div><span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>Data downloaded in February 2023 from </span><a href='https://gisdata-caltrans.opendata.arcgis.com/datasets/b3e0ef95520843ba8c1d3b9c0fa9a607_0/explore?location=36.748926%2C-119.524779%2C7.00' target='_blank' rel='nofollow ugc noopener noreferrer'>https://gisdata-caltrans.opendata.arcgis.com/datasets/b3e0ef95520843ba8c1d3b9c0fa9a607_0/explore?location=36.748926%2C-119.524779%2C7.00</a><font face='Avenir Next W01, Avenir Next W00, Avenir Next, Avenir, Helvetica Neue, sans-serif'><span style='font-size:16px;'>. </span></font></div>
MCNA - Population Points with T/D Standards

<div><div>Updated 10/6/2022: In the Time/Distance analysis process, points that were found to have been included initially, but with no significant or year-round population were removed. The layer of removed points is also available for viewing. <a href='https://networks-gis.dhcs.ca.gov/maps/914ad2cad51347f7bec1ba070a6c664e' target='_blank' rel='nofollow ugc noopener noreferrer'>MCNA - Removed Population Points</a></div><div><br /></div><div>The
 Network Adequacy Standards Representative Population Points feature layer contains 97,694 points spread across California that were created from USPS postal delivery route data and US Census data. Each population point also contains the variables for Time and Distance Standards for the County that the point is within. These standards differ by County due to 
the County &quot;type&quot; which is based on the population density of the 
county. There are 5 county categories within California: Rural (&lt;50 
people/sq mile), Small (51-200 people/sq mile), Medium (201-599 
people/sq mile), and Dense (&gt;600 people/sq mile). The Time and Distance data is divided out by Provider Type, Adult 
and Pediatric separately, so that the Time or Distance analysis can be 
performed with greater detail. <br /></div><ul><li>Hospitals</li><li>OB/GYN Specialty</li><li>Adult Cardiology/Interventional Cardiology</li><li>Adult Dermatology</li><li>Adult Endocrinology</li><li>Adult ENT/Otolaryngology</li><li>Adult Gastroenterology</li><li>Adult General Surgery</li><li>Adult Hematology</li><li>Adult HIV/AIDS/Infectious Disease</li><li>Adult Mental Health Outpatient Services</li><li>Adult Nephrology</li><li>Adult Neurology</li><li>Adult Oncology</li><li>Adult Ophthalmology</li><li>Adult Orthopedic Surgery</li><li>Adult PCP</li><li>Adult Physical Medicine and Rehabilitation</li><li>Adult Psychiatry</li><li>Adult Pulmonology</li><li>Pediatric Cardiology/Interventional Cardiology</li><li>Pediatric Dermatology</li><li>Pediatric Endocrinology</li><li>Pediatric ENT/Otolaryngology</li><li>Pediatric Gastroenterology</li><li>Pediatric General Surgery</li><li>Pediatric Hematology</li><li>Pediatric HIV/AIDS/Infectious Disease</li><li>Pediatric Mental Health Outpatient Services</li><li>Pediatric Nephrology</li><li>Pediatric Neurology</li><li>Pediatric Oncology</li><li>Pediatric Ophthalmology</li><li>Pediatric Orthopedic Surgery</li><li>Pediatric PCP</li><li>Pediatric Physical Medicine and Rehabilitation</li><li>Pediatric Psychiatry</li><li>Pediatric Pulmonology</li></ul></div>