AndreaBozzo/ceres-open-data-index huggingface dataset:
Central Valley Angler Survey Database

The Central Valley Angler Survey, or CVAS, monitors sport fisheries in the Sacramento River system, from the Carquinez Strait to Keswick Dam near Redding, and on the lower Mokelumne, Yuba, Calaveras, American, and Feather rivers. CVAS was a year-round survey from 1991-1994, 1998-2002, and 2006-2016, and included the Yuba and Calaveras rivers during portions of those periods. During fiscal years (FY) 2017-2020, CVAS was scaled back to a 5-1/2 month survey, focused on the Chinook Salmon sport fishery from July 16 through December 31, but resumed year-round surveying beginning FY 2021. Data are collected to estimate angler effort, catch, and harvest of key species using expansions of spatially and temporally stratified data. Data collected from 1991 through 2016 were used to generate estimates of fishing effort, catch, and harvest of Chinook Salmon, steelhead trout, Rainbow Trout, White Sturgeon, Sacramento Splittail (2007-2016), Striped Bass, and American Shad. During fiscal years 2017-2020, CVAS focused only on generating estimates of fishing effort, catch, and harvest of Chinook Salmon in support of the West Coast Chinook Salmon management process. Data collected are based on eight survey runs per month in each of 24-27 survey sections that cover the entire survey area. Data include counts of boats and angling parties in each survey section to estimate fishing effort on a daily timestep. Data are also collected during angler interviews and include information about individual angler effort, and biological data on the catch. Heads are collected from Chinook Salmon that possess a clipped adipose fin to recover coded-wire tags that provide information about the hatchery origin of the fish. 

Biological information collected on the catch of anglers encountered by survey staff. Data includes location, species, length, weight, any external markings or tags observed, scale sample collection information, and sex of fish.

This data and metadata were submitted by California Department of Fish and Wildlife (CDFW) Staff though the Data Management Plan (DMP) framework with the id: DMP000421. For more information, please visit https://wildlife.ca.gov/Data/Sci-Data.
Fall Chinook Escapement - Klamath Basin Watershed

Adult salmonid data collected from various areas within the Klamath basin watershed. Various tributaries are monitored using video systems (Bogus Creek, Shasta River, Scott River), other areas are monitored using redd/carcass surveys, and Iron gate Hatchery adult returns. The main purpose of the data is to estimate escapement of fall Chinook slamon, although data on other species (steelhead, coho salmon) also collected. 

For more information on the various collection methods, please view the specific metadata document included with the data download.

This data and metadata were submitted by California Department of Fish and Wildlife (CDFW) Staff though the Data Management Plan (DMP) framework with the id: DMP000381. For more information, please visit https://wildlife.ca.gov/Data/Sci-Data.
California State Senate District Active, Deferred and Accelerated Boundaries 2023-2024

<div style='text-align:Left;font-size:12pt'><div><div><p><span>Senate Districts in California with boundaries showing active, deferred, and accelerated district boundaries until the 2024 Election. This data is available at a public level for everyone to use.</span></p><p><span>The active districts are comprised of even district numbers with Senators elected in 2022. These even districts use the boundaries edited in the 2020 Census. They were finalized in 2021 so that is why the districts are referenced with that date. The first election they were ready to be used in was the 2022 Election, but not the 2020 election. </span></p><p><span>The 2020 Election used the boundaries of the districts created in the 2010 Census (finalized in 2011). The odd numbered senate districts used the 2011 boundaries in the 2020 election. These odd senate districts will change to the 2021 Certified districts with the 2024 election cycle. Until then the odd numbered 2011 Certified Senate districts are still active. These even and odd districts are labelled as Active Districts in the layer.</span></p><p style='margin:1 1 1 0;'><span>Since some of these boundaries were changed, there is overlap of some of the odd and even districts. They are referred to as Accelerated Districts and they occur where an existing odd-district is overlain by a new even-district. The constituents in the accelerated areas will have two Senators who may represent them.</span></p><p style='margin:1 1 1 0;'><span>Some of the district boundaries were changed so that there are gaps with no district coverage at all. If there is a gap in coverage, the area is referred to as a Deferred District. They occur when an area that was an even-numbered district in the 2011 redistricting plan becomes an odd-numbered district in the 2021 redistricting plan. The area does not have a Senator until the conclusion of the 2024 election when the new odd-numbered district becomes active. During the 2023-2024 session the Senate Rules Committee assigns Senators to provide constituent services in deferred areas.</span></p></div></div></div>
Monitoring and Evaluation of Salmonid Habitat Restoration (MESHR) Before After Control Impact (BACI)

MESHR has been testing an approach focused on habitat metrics and fish response for determining effectiveness of large wood treatments. Data is collected using an adapted protocol from the Washington State Salmon Recovery Funding Board (Crawford 2011) and the U.S. Environmental Protection Agency (Kaufmann et al. 1999) to methodically measure habitat characteristics in stream reaches for a subsample of large wood installation projects using a Before-After, Control-Impact (BACI) study design.  Large wood, residual water and pool depths, percent occurrence of particular substrates, substrate embeddedness, fish cover, and snorkel validation data are documented.  1.092 MB.    

This data and metadata were submitted by California Department of Fish and Wildlife (CDFW) Staff though the Data Management Plan (DMP) framework with the id: DMP000238. For more information, please visit https://wildlife.ca.gov/Data/Sci-Data.
Monitoring and Evaluation of Salmonid Habitat Restoration (MESHR) Effectiveness Monitoring

Effectiveness monitoring of a randomized selection of 10% of Fisheries Habitat Restoration (Fisheries Restoration Grants Program and Forest Land Anadromous Restoration)  habitat restoration projects in the North Coast Hydrologic Region.   Survey assesses the effectiveness of habitat restoration projects and treatment types based on qualitative assessment ratings of habitat response from a sample of individual treatment features for a range of project types. Survey assesses the effectiveness of given treatment types through both qualitative ratings and quantitative metrics evaluated both pre- and post-restoration project implementation. 6.276 MB   

This data and metadata were submitted by California Department of Fish and Wildlife (CDFW) Staff though the Data Management Plan (DMP) framework with the id: DMP000236. For more information, please visit https://wildlife.ca.gov/Data/Sci-Data.
Monitoring and Evaluation of Salmonid Habitat Restoration Validation Monitoring

This data documents fish response to fish passage and instream habitat restoration treatments.  Juvenile salmonid snorkel surveys are conducted pre-treatment and post-treatment.  Pool dimensions (length and width), maximum residual pool depth, temperature, flow, and water quality data are also recorded.  Minnow traps are deployed in the vicinity of restoration treatments when stream conditions or hazards prevent snorkel observations or where additional monitoring methods are deemed necessary to determine juvenile salmonid presence.  Winter Salmonid spawner surveys of potential redds, adult spawners, and carcasses are also performed.  Survey data includes a 0.038 MB Snorkel Survey database and a 0.043 MB Spawner Survey database.  

This data and metadata were submitted by California Department of Fish and Wildlife (CDFW) Staff though the Data Management Plan (DMP) framework with the id: DMP000237. For more information, please visit https://wildlife.ca.gov/Data/Sci-Data.
Utility Solar Capacity and Generation by Type and County: 2022

<div>Energy data is collected for power plants that have a nameplate capacity of 1 MW or more. Counties that are gray had no utility-scale solar capacity. Data originates from the California Energy Commission, and is classified using the Jenk’s Natural Break’s method. Projection: NAD 1983 California (Teale) Albers. Data is for 2022 and is current as of August 7, 2023. For more information, contact Gordon Huang at gordon.huang@energy.ca.gov or John Hingtgen at john.hingtgen@energy.ca.gov.</div>
Total Generation by Type and County: 2022

<div>Energy generation data are from the California Energy Commission's Quarterly Fuel and Energy Report and the Wind Generation Reporting System databases. Map depicts utility scale power plants (with nameplate capacity of 1 MW or more). Hydroelectric plants are designated as a renewable energy source if their nameplate capacity is 30 MW or less. Renewables include Biomass, Geothermal, Solar Photovoltaic, Solar Thermal, Small Hydroelectric, and Wind. Counties without symbols had no utility-scale plants. Data is from 2022 and is current as of August 10, 2023. For more information, contact Gordon Huang at gordon.huang@energy.ca.gov or John Hingtgen at john.hingtgen@energy.ca.gov.</div>
ACEs Aware Clinician Listing

<div>The ACEs Aware Clinician Directory includes a subset of Medi-Cal clinicians who have self-attested to completing a certified ACEs Aware Core Training and opted-in to being added to the ACEs Aware Clinician Directory. These clinicians may receive Medi-Cal payment for providing qualified Adverse Childhood Experience (ACE) screenings.</div><div><br /></div><div>The ACEs Aware initiative, a partnership between the Department of Health Care Services (DHCS) and Office of the California Surgeon General, is training and certifying clinicians to administer qualifying ACE screenings. The ACEs Aware Clinician Directory allows Medi-Cal patients and others to find “ACEs Aware” clinicians – those who have self-attested to completing the training and opted-in to being included in this Directory.</div><div><br /></div><div>Clinicians who want to be included in the Directory or need to update their information should submit or resubmit the <a href='https://www.medi-cal.ca.gov/TSTA/TSTAattest.aspx/' target='_blank' rel='nofollow ugc noopener noreferrer'>ACEs Clinician Training Attestation form</a>. DHCS does not have information on whether clinicians are accepting new Medi-Cal patients. For more information, please see the “Additional Information” section below and the <a href='https://www.acesaware.org/about-aces-aware/faq/' target='_blank' rel='nofollow ugc noopener noreferrer'>ACEs Clinician Training Attestation FAQs</a>.</div>
Tree Characteristics - Spears and Didion Ranches [ds320] Extended Table

These data are the characteristics of the individual live trees found in 0.05-ha circular plot habitat samples taken in 2005 at sample points at Spears and Didion Ranches, Placer County, California. There were three 0.05-ha circular habitat sampling plots at each of the 15 sample points. To be counted, trees had to be &gt; 4" dbh and within the 12.6 m radius plot. If a plot number is missing, then there were no trees at the sample points and vegetation plots.
Warner Mountains Aerial Photos - 1946 [ds52]

This data set is a mosaic made from aerial photographs acquired from the Modoc National Forest with photo dates throughout the summer of 1946. The 126 original photographs were scanned and orthorectified in December 2002. The aerial photographs were scanned and orthorectified by the Geographical Information Center, California State Univ., Chico, using PCI Ortho software in December 2002. The mosaic was created in September 2004. Additional mosaic reformatting was done in 2005 and 2020 by the California Department of Fish and Wildlife.
Warner Mountains Aerial Photos - 1994 [ds53]

This is a layer of aerial photos acquired from the Modoc National Forest with photo dates throughout the summer of 1994, scanned and orthorectified by the Geographical Information Center, California State Univ., Chico, with later processing by the California Department of Fish and Wildlife.It documents the location of aspen stands. It also provides the visual background for the display of polygons and the visual comparison of similar and more recent data sets. This is one of five data sets for a study investigating change in the size of aspen stands since 1946. Other available data sets are a 1946 aerial photo mosiac, interpreted polygons of individual aspen stands from 1946 and 1994, and a sample of aspen stand characteristics in 98 stands from 2002. Geographic extent of the imagery: The study area is the Warner Mountains south of State Highway 299.
Utility Solar Generation by Type and County: 2020

<span style='font-family:&quot;Avenir Next&quot;, &quot;Avenir Next&quot;; font-size:16px;'>Solar electrical generation data is reported for commercial power plants: those with a nameplate capacity of 1 MW or more. Counties in gray reported no generation in 2020. San Bernardino and Riverside county had solar thermal electric generation. Map and data from the California Energy Commission. Data is classified using the Jenk’s Natural Break’s method. Data is current as of November 22, 2021. Contact Rebecca Vail at (916)651- 0477 or John Hingtgen at (916) 510-9747 with questions.</span>
Elk Home Range - Wilson - 2022-2023 [ds3088]

<div style='text-align:Left;'><div><div><p><span>The project lead for the collection of this data was Carrington Hilson. Elk (2 adult females) were captured and equipped with GPS collars (Lotek Iridium) transmitting data from 2022-2023. The Wilson herd does not migrate between traditional summer and winter seasonal ranges. Therefore, annual home ranges were modeled using year-round data to demarcate high use areas in lieu of modeling the specific winter ranges commonly seen in other ungulate analyses in California. GPS locations were fixed between 1-7 hour intervals in the dataset. To improve the quality of the data set as per Bjørneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual pronghorn is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst. </span></p><p><span>The methodology used for this migration analysis allowed for the mapping of the herd’s home range. Brownian bridge movement models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 2 elk, including 2 annual home range sequence, location, date, time, and average location error as inputs in Migration Mapper. BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less then 27 hours. Home range is visualized as the 50th percentile contour (high use) and the 99th percentile contour of the year-round utilization distribution. Home range designations for this herd may expand with a larger sample.</span></p></div></div></div>
Caltrans Districts

<div style='text-align:Left;'><p><span>The District boundary definitions are primarily based on the California county boundaries. The Board of Equalization (BOE) County and City Boundary web service is the authoritative source of County boundaries and this was used to digitize the district boundaries based on the data from March 2023. This data is solely for informational purposes. </span><span style='font-size:12pt;'>District 9 has been operating independent of the Central Region since November 1, 2015</span><span style='font-size:10pt;'>. </span><span style='font-size:12pt;'>Kern County remains the only split county in the state, between Districts 6 and 9 respectively</span><span style='font-size:10pt;'>. </span>The BOE data was also used to create the district boundary layers along the coastline.</p></div>
Conservation Opportunities Modeler

<p>Please visit the <a href='https://storymaps.arcgis.com/stories/0c6bb2b0a38243ccb5b1c36798bb6d63' target='_blank' rel='nofollow ugc noopener noreferrer'>User Guide</a> to learn about using the Conservation Opportunities Modeler.<br /></p><p>CA Nature supports the California Natural Resources
Agency’s goals for equitable access for all, the conservation of the state’s
biodiversity, and expanding the use of nature-based solutions to address
climate change.</p>

<p>The Conservation Opportunities Modeler uses a technique
called a Weighted Raster Overlay (WRO) to evaluate multiple factors
simultaneously. You can select layers from almost 50 layers in library,
assign a weight to each selected layer, and then a scores to the available
variables. These are then combined to show the range of combined values across
the landscape, whether high or low based on your assigned weights. </p><p>Data libraries are available to explore opportunities for access for all, biodiversity, climate mitigation and adaptation, as well as opportunities that integrate across multiple challenges. After your model is complete, run it online and explore the results through interactive summaries and comparison against data from CA Nature or other sources.</p>

<p>Use the Conservation Opportunities Modeler to explore
opportunities through building your own scenarios. </p><p><br /></p>
Vegetation - Anza-Borrego Desert State Park [ds165]

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The Anza Borrego Desert State Park (ABDSP) Vegetation Map depicts vegetation within the Park and its surrounding environment. The map was prepared by the Department of Fish and Game (DFG) under contract to the Department of Parks and Recreation (DPR) to assist DPR with preparation of a General Plan for ABDSP. The vegetation map was prepared using aerial photographs, field investigation, vegetation classification, and GIS processing and provides information on the location and extent of 94 vegetation types in the project area. The primary vegetation classification used for the project is based on A Manual of California Vegetation (Sawyer and Keeler-Wolf 1995). The data and classification work arising from this project will be used to refine future editions of the Manual. The vegetation map references other vegetation classifications as well.</SPAN></P></DIV></DIV></DIV>
2020 Census PUMAs Final

<p style='margin:0in; font-size:12pt; font-family:Calibri, sans-serif; color:rgb(0, 0, 0);'><b>The Application</b></p><p style='margin:0in; font-size:12pt; font-family:Calibri, sans-serif; color:rgb(0, 0, 0);'>This application allows comparison of the proposed California 2020 Public Use Microdata Areas (PUMAs) with the 2010 PUMAs. The boundaries for these PUMAs were delineated based on population counts for California counties and tracts from the 2020 Census. The Demographic Research Unit worked with California State Data Center affiliates and regional organizations to ensure that the PUMAs reflect local communities.</p><p style='margin:0in; font-size:12pt; font-family:Calibri, sans-serif; color:rgb(0, 0, 0);'><br /></p><p style='margin:0in; font-size:12pt; font-family:Calibri, sans-serif; color:rgb(0, 0, 0);'>For more information, go to the Census Bureau's <a href='https://www.census.gov/programs-surveys/geography/guidance/geo-areas/pumas/2020pumas.html' target='_self' rel='nofollow ugc'><span style='color:blue;'>2020 Census PUMA program</span></a> web page.</p><p style='margin:0in; font-size:12pt; font-family:Calibri, sans-serif; color:rgb(0, 0, 0);'><br /></p><p style='margin:0in; font-size:12pt; font-family:Calibri, sans-serif; color:rgb(0, 0, 0);'><b>PUMAs</b></p><p style='margin:0in; font-size:12pt; font-family:Calibri, sans-serif; color:rgb(0, 0, 0);'>Public Use Microdata Areas (PUMAs) are non-overlapping, statistical geographic areas that partition each state or equivalent entity into geographic areas containing no fewer than 100,000 people each. They cover the entirety of the United States. The Census Bureau defines PUMAs for the tabulation and dissemination of decennial census and American Community Survey (ACS) Public Use Microdata Sample (PUMS) data. The delineation of new PUMAs occurs after the completion of the decennial census as part of a program involving the State Data Centers (SDCs). The Census Bureau's <a href='https://www.census.gov/programs-surveys/geography/guidance/geo-areas/pumas.html' target='_self' rel='nofollow ugc'><span style='color:blue;'>PUMA web page</span></a> contains more details about these areas.</p><p style='margin:0in; font-size:12pt; font-family:Calibri, sans-serif; color:rgb(0, 0, 0);'><br /></p><p style='margin:0in; font-size:12pt; font-family:Calibri, sans-serif; color:rgb(0, 0, 0);'>Note that the 2020 and 2010 PUMAs may not overlap exactly as 2020 census tracts were changed from the 2010 census.</p><p style='margin:0in; font-size:12pt; font-family:Calibri, sans-serif; color:rgb(0, 0, 0);'><br /></p><p style='margin:0in; font-size:12pt; font-family:Calibri, sans-serif; color:rgb(0, 0, 0);'><b>Source:</b></p><p style='margin:0in; font-size:12pt; font-family:Calibri, sans-serif; color:rgb(0, 0, 0);'>California Department of Finance, <a href='https://dof.ca.gov/forecasting/demographics/' rel='nofollow ugc'><span style='color:blue;'>Demographic Research Unit</span></a>.</p>
Post-Census Group Quarters Explorer

An app to assist in the evaluation of Group Quarters capture in the 2020 Census. In support of the <a href='https://www.census.gov/programs-surveys/decennial-census/decade/2020/planning-management/evaluate/pcgqr.html' target='_blank' rel='nofollow ugc noopener noreferrer'>2020 Post-Census Group Quarters Review</a>, this app empowers local entities to visualize GQ locations and types within their jurisdiction. Comparison is made available to California Department of Finance, Demographic Research Unit surveyed values where possible, to highlight areas of known miscount.<div><br /></div><div><br /></div>