AndreaBozzo/ceres-open-data-index huggingface dataset:
4 Model Ensemble, 30 Year Rolling Average Minimum and Maximum Average Temperatures

<p>This dataset contains 30-year rolling
averages of annual average minimum and maximum temperatures across all four
models and two greenhouse gas (RCP) scenarios in the four model ensemble. The year identified for a 30 year rolling average is the
mid-point of the 30-year average. eg. The year 2050 includes the values from
2036 to 2065.</p>

<p>The downscaling and selection of models for inclusion in ten
and four model ensembles is described in <a href='https://www.energy.ca.gov/sites/default/files/2019-11/Projections_CCCA4-CEC-2018-006_ADA.pdf#page=11' rel='nofollow ugc'>Pierce
et al. 2018</a>, but summarized here. Thirty two global climate models (GCMs)
were identified to meet the modeling requirements. From those, ten that closely
simulate California’s climate were selected for additional analysis (<a href='https://www.energy.ca.gov/sites/default/files/2019-11/Projections_CCCA4-CEC-2018-006_ADA.pdf#page=11' rel='nofollow ugc'>Table
1, Pierce et al. 2018</a>) and to form a ten model ensemble. From the ten model
ensemble, four models, forming a four model ensemble, were identified to
provide coverage of the range of potential climate outcomes in California.  The models in the four model ensemble and
their general climate projection for California are:</p>

<p></p><ul><li>HadGEM2-ES (warm/dry),</li><li>CanESM2 (average),</li><li>CNRM-CM5 (cooler/wetter),</li><li>and MIROC5 the model least like the others to
improve coverage of the range of outcomes.</li></ul><p></p>







<p>These data were downloaded from Cal-Adapt and prepared for
use within CA Nature by California Natural Resource Agency and ESRI staff.</p>

<p>Cal-Adapt. (2018). LOCA Derived Data [GeoTIFF]. Data derived
from LOCA Downscaled CMIP5 Climate Projections. Cal-Adapt website developed by
University of California at Berkeley’s Geospatial Innovation Facility under
contract with the California Energy Commission. Retrieved 0
from <a href='https://cal-adapt.org/' target='_blank' rel='nofollow ugc noopener noreferrer'>https://cal-adapt.org/</a></p>

Pierce, D. W., J. F.
Kalansky, and D. R. Cayan, (Scripps Institution of Oceanography). 2018.
Climate, Drought, and Sea Level Rise Scenarios for the Fourth California
Climate Assessment. California’s Fourth Climate Change Assessment, California
Energy Commission. Publication Number: CNRA-CEC-2018-006.
SSWP Whitewater Boating

The SSWP Whitewater Boating Study is one of many relicensing documents for the South SWP (SSWP) Hydropower Project Number 2426. The California Department of Water Resources and the Los Angeles Department of Water and Power applied to the Federal Energy Regulatory Commission for a new license of the SSWP Project located in Los Angeles County, California along the West Branch of the State Water Project (SWP). The SWP provides southern California with many benefits, including an affordable water supply, reliable regional clean energy, opportunities to integrate green energy, accessible public recreation opportunities, and environmental benefits.
Single climate model, annual precipitation

<p>This dataset contains annual average precipitation from the
four models and two greenhouse gas (RCP) scenarios included in the four
model ensemble for the years 1950-2099.</p>

<p>The downscaling and selection of models for inclusion in ten
and four model ensembles is described in <a href='https://www.energy.ca.gov/sites/default/files/2019-11/Projections_CCCA4-CEC-2018-006_ADA.pdf#page=11' rel='nofollow ugc'>Pierce
et al. 2018</a>, but summarized here. Thirty two global climate models (GCMs)
were identified to meet the modeling requirements. From those, ten that closely
simulate California’s climate were selected for additional analysis (<a href='https://www.energy.ca.gov/sites/default/files/2019-11/Projections_CCCA4-CEC-2018-006_ADA.pdf#page=11' rel='nofollow ugc'>Table
1, Pierce et al. 2018</a>) and to form a ten model ensemble. From the ten model
ensemble, four models, forming a four model ensemble, were identified to
provide coverage of the range of potential climate outcomes in California.<span>  </span>The models in the four model ensemble and
their general climate projection for California are:</p>

<p></p><ul><li>HadGEM2-ES (warm/dry),</li><li>CanESM2 (average), </li><li>CNRM-CM5 (cooler/wetter),</li><li>and MIROC5 the model least like the others to
improve coverage of the range of outcomes.</li></ul><p></p>







<p>These data were downloaded from Cal-Adapt and prepared for
use within CA Nature by California Natural Resource Agency and ESRI staff. </p>


<p>Cal-Adapt. (2018). LOCA Derived Data [GeoTIFF]. Data derived
from LOCA Downscaled CMIP5 Climate Projections. Cal-Adapt website developed by
University of California at Berkeley’s Geospatial Innovation Facility under
contract with the California Energy Commission. Retrieved  from <a href='https://cal-adapt.org/' target='_blank' rel='nofollow ugc noopener noreferrer'>https://cal-adapt.org/</a></p>

<p>Pierce, D. W., J. F. Kalansky, and D. R. Cayan, (Scripps
Institution of Oceanography). 2018. Climate, Drought, and Sea Level Rise
Scenarios for the Fourth California Climate Assessment. California’s Fourth
Climate Change Assessment, California Energy Commission. Publication Number:
CNRA-CEC-2018-006.</p>
4 Model Ensemble, 30 Year Rolling Average Precipitation

<p>This dataset contains 30-year rolling
average of annual average precipitation across all four models and two greenhouse
gas (RCP) scenarios in the four model ensemble.<span> </span>The year
identified for a 30 year rolling average is the mid-point of the 30-year
average. eg. The year 2050 includes the values from 2036 to 2065.</p>

<p>The downscaling and selection of models for inclusion in ten
and four model ensembles is described in <a href='https://www.energy.ca.gov/sites/default/files/2019-11/Projections_CCCA4-CEC-2018-006_ADA.pdf#page=11' rel='nofollow ugc'>Pierce
et al. 2018</a>, but summarized here. Thirty two global climate models (GCMs)
were identified to meet the modeling requirements. From those, ten that closely
simulate California’s climate were selected for additional analysis (<a href='https://www.energy.ca.gov/sites/default/files/2019-11/Projections_CCCA4-CEC-2018-006_ADA.pdf#page=11' rel='nofollow ugc'>Table
1, Pierce et al. 2018</a>) and to form a ten model ensemble. From the ten model
ensemble, four models, forming a four model ensemble, were identified to provide
coverage of the range of potential climate outcomes in California.<span>  </span>The models in the four model ensemble and
their general climate projection for California are:</p>

<p></p><ul><li>HadGEM2-ES (warm/dry),</li><li>CanESM2 (average), </li><li>CNRM-CM5 (cooler/wetter),</li><li>and MIROC5 the model least like the others to
improve coverage of the range of outcomes.</li></ul><p></p>







<p>These data were downloaded from Cal-Adapt and prepared for
use within CA Nature by California Natural Resource Agency and ESRI staff. </p>


<p>Cal-Adapt. (2018). LOCA Derived Data [GeoTIFF]. Data derived
from LOCA Downscaled CMIP5 Climate Projections. Cal-Adapt website developed by
University of California at Berkeley’s Geospatial Innovation Facility under
contract with the California Energy Commission. Retrieved  from <a href='https://cal-adapt.org/' target='_blank' rel='nofollow ugc noopener noreferrer'>https://cal-adapt.org/</a></p>

<p>Pierce, D. W., J. F. Kalansky, and D. R. Cayan, (Scripps
Institution of Oceanography). 2018. Climate, Drought, and Sea Level Rise
Scenarios for the Fourth California Climate Assessment. California’s Fourth
Climate Change Assessment, California Energy Commission. Publication Number:
CNRA-CEC-2018-006.</p>
30x30 Ecoregions

This layer contains polygon features of Ecological Units for the state of California as described by ECOMAP (1993) &quot;... mapped based on associations of those biotic and environmental factors that directly affect or indirectly express energy, moisture, and nutrient gradients which regulate the structure and function of ecosystems. These factors include climate, physiography, water, soils, air, hydrology, and potential natural communities.&quot;

These divisions were first created by Bailey in 1976 and have been updated since. This dataset is the 2007 (Goudey) version.

This version of the ecoregion subsections was used by the California Department of Fish and Wildlife for their Areas of Conservation Emphasis work and their Wildlife Action Plan (https://wildlife.ca.gov/Data/Analysis/ACE &amp; https://www.wildlife.ca.gov/SWAP/Final).

Complete metadata can be found here: https://www.fs.usda.gov/detail/r5/landmanagement/gis/?cid=fsbdev3_048133. 
The original data can be downloaded in full here: https://www.fs.usda.gov/Internet/FSE_DOCUMENTS/stelprdb5351343.zip.

This dataset was uploaded to Data Basin and is available with additional information at: https://databasin.org/datasets/81a3a809a2ae4c099f2e495c0b2ecc91/
Gregarious Slender Salamander Range - CWHR A064 [ds2851]

<div style='text-align:Left;'><div><div><p><span>Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (</span><a href='https://www.wildlife.ca.gov/Data/CWHR' style='text-decoration:underline;' rel='nofollow ugc'><span>https://www.wildlife.ca.gov/Data/CWHR</span></a><span>). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide. </span></p></div></div></div>
CalOES Law Mutual Aid Regions

<div><div><font size='4'>The California Governor’s Office of Emergency Services’ (Cal OES) <a href='https://calema.maps.arcgis.com/home/item.html?id=6150776016a84ac18fd33c3ad825064b' target='_blank'>Regions and MARs feature layer</a> is a graphical representation Administrative Regions and Law/Fire Mutual Aid Regions.  The primary audience is the general public as well as Cal OES response personnel and supporting partners. </font></div><div><font size='4'><br /></font></div><div><font size='4'>The user assumes the entire risk related to their use of this information. Cal OES provides such information &quot;as is,&quot; and disclaims any and all warranties, whether express or implied, including (without limitation) any implied warranties of merchantability or fitness for a particular purpose. In no event will Cal OES be liable to you or to any third party for any direct, indirect, incidental, consequential, special or exemplary damages or lost profit resulting from any use or misuse of this data.</font></div></div>
CalOES Administrative Regions

<div><div><font size='4'>The California Governor’s Office of Emergency Services’ (Cal OES) <a href='https://calema.maps.arcgis.com/home/item.html?id=6150776016a84ac18fd33c3ad825064b' target='_blank'>Regions and MARs feature layer</a> is a graphical representation Administrative Regions and Law/Fire Mutual Aid Regions.  The primary audience is the general public as well as Cal OES response personnel and supporting partners. </font></div><div><font size='4'><br /></font></div><div><font size='4'>The user assumes the entire risk related to their use of this information. Cal OES provides such information &quot;as is,&quot; and disclaims any and all warranties, whether express or implied, including (without limitation) any implied warranties of merchantability or fitness for a particular purpose. In no event will Cal OES be liable to you or to any third party for any direct, indirect, incidental, consequential, special or exemplary damages or lost profit resulting from any use or misuse of this data.</font></div></div>
Terrestrial and Marine Reference

<div style='text-align:Left;'><div><div><p><span>These boundaries define the regions based on terrestrial and marine areas. These are intended to be used in by CA Nature to support activities related to Executive Order N-82-20. These include California's 30x30 effort, Climate Smart Land Strategies, and equitable access to open space. This layer is derived from the 4th California Climate Assessment regions, and enhanced using the California County Boundaries dataset (version 19.1) maintained by the California Department of Forestry and Fire Protection's Fire Resource Assessment Program, and the 3 Nautical Mile marine boundary for California sourced from the California Department of Fish and Wildlife.</span></p></div></div></div>
30x30 Conserved Areas, Marine

<p style='margin-top:0px; margin-bottom:1.5rem; 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;'><span style='font-family:inherit;'>30x30 considers all California State Marine Protected areas conserved under the definition adopted in the 30x30 Pathways document.</span></p><p style='margin-top:0px; margin-bottom:1.5rem; 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;'><span style='font-family:inherit;'>These data include all of California's marine protected areas (MPAs) as defined January 1, 2019. This dataset reflects the Department of Fish and Wildlife's 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.</span><br /></p><p style='margin-top:0px; margin-bottom:1.5rem; 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;'>For use in CA Nature, all overlapping areas have been removed so prevent incorrect area summaries.<br /></p>
SSWP ESA Listed Terrestrial Wildlife Species California Wildlife Habitat Relationships

The SSWP ESA Listed Terrestrial Wildlife Species California Wildlife Habitat Relationships Study is one of many relicensing documents for the South SWP (SSWP) Hydropower Project Number 2426. The California Department of Water Resources and the Los Angeles Department of Water and Power applied to the Federal Energy Regulatory Commission for a new license of the SSWP Project located in Los Angeles County, California along the West Branch of the State Water Project (SWP). The SWP provides southern California with many benefits, including an affordable water supply, reliable regional clean energy, opportunities to integrate green energy, accessible public recreation opportunities, and environmental benefits.
Special Districts' Net Pension Asset and Liability for Fiscal Years 2017-18 to 2019-20

Net Pension Asset (NPA) is the amount in excess of the amount owed to a defined benefit pension plan based on the actuarial present value of projected benefit payments for plan members and their beneficiaries less the plan’s net position. Net Pension Liability (NPL) is the amount owed to a defined benefit pension plan based on the actuarial present value of projected benefit payments for plan members and their beneficiaries less the plan’s net position.
Special Districts' Net Other Postemployment Benefit Asset and Liability for Fiscal Years 2017-18 to 2019-20

Net Other Postemployment Benefit (OPEB) Asset is the amount in excess of the amount owed to a defined benefit OPEB plan based on the actuarial present value (or other method) of the projected benefit payments for plan members and their beneficiaries less the plan’s net position. Net OPEB Liability is the amount owed to a defined benefit OPEB plan based on the actuarial present value (or other method) of the projected benefit payments for plan members and their beneficiaries less the plan’s net position.
SF Bay Tidal Datums (2016)

<font color='#000000'><span style='background-color:rgb(255, 255, 255);'>This study is the first comprehensive publication of tidal datums and extreme tides for San Francisco Bay (Bay) since the United States Army Corps of Engineers (USACE) published itsSan Francisco Bay Tidal Stage vs. Frequency Study in 1984 (USACE 1984). The USACE study was groundbreaking at the time of publication, presenting tidal datums and the “100-year tide” elevation for 53 locations around the Bay.  The purpose of this study is to update and expand on the USACE study and to present daily and extreme tidal information for more than 900 locations along the Bay shoreline. Tidal datums, described further in Section 2 , are standard elevations defined by a certain phase of the tide (e.g., mean high tide, mean low tide). A tidal datum is used as a reference to measure and define local water levels, and as such is specific to local hydrodynamic processes and is not easily extended from one area to another without substantiating measurements or analysis. Many industries and activities rely on tidal datums, including shipping and navigation, coastal flood management, coastal development, and wetland restoration. Extreme tidal elevations are estimated for less-frequent extreme tides (e.g., 2-year tides to 500-year tides [tides with a 50.0 percent to 0.2 percent annual chance of occurrence, respectively]). </span></font><div><font color='#000000'><span style='background-color:rgb(255, 255, 255);'><br /></span></font></div><div><font color='#000000'><span style='background-color:rgb(255, 255, 255);'>Knowledge of the 100-year tide, or the water elevation with a 1 percent annual chance of occurrence, is critical for shoreline planning, floodplain management, and sea level rise (SLR) adaptation efforts. This study presents detailed daily and extreme tide information for the entirety of the Bay shoreline. This data set will support floodplain management efforts;  shoreline vulnerability and risk analyses; shoreline engineering, design, and permitting; ecological studies; and appropriate sea level rise adaptation planning. The goal of this study is to provide data that support a wide-range of planning efforts around the Bay, particularly as communities seek to understand—and begin to adapt to—rising sea levels. </span></font></div><div><font color='#000000'><span style='background-color:rgb(255, 255, 255);'><br /></span></font></div><div><font color='#000000'><span style='background-color:rgb(255, 255, 255);'>You can access the full report at: </span></font><a href='http://www.adaptingtorisingtides.org/wp-content/uploads/2015/06/20160429.SFBay_Tidal-Datums_and_Extreme_Tides_Study.FINAL_.pdf' rel='nofollow ugc' target='_blank'>http://www.adaptingtorisingtides.org/wp-content/uploads/2016/05/20160429.SFBay_Tidal-Datums_and_Extreme_Tides_Study.FINAL_.pdf</a>.</div>
Electric Investor Owned Utility Areas

<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;'>Map of the six electric investor owned utility (IOU) areas in California:</span><div 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;'>- Bear Valley Electric Service</div><div 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;'>- Liberty Utilities</div><div 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;'>- PacifiCorp</div><div 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;'>- PG&amp;E: Pacific Gas &amp; Electric Company</div><div 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;'>- SDG&amp;E: San Diego Gas &amp; Electric Company</div><div 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;'>- SCE: Southern California Edison</div>
Concentrating Solar Power Prospects, 2020

Map of the concentrating solar power prospects for California. Data obtained from the National Renewable Energy Laboratory (NREL) in 2008.<div><br /></div><div><div>NOTE: The direct normal solar resource measurements shown are derived from 10km Perez data (2004), with modifications by NREL. Potentially sensitive lands, major urban areas, and water features have been excluded. Areas with resource &lt; 6.75 kwh/m2/day, slope &gt; 1% and minimum contiguous &lt; 5 square kilometers were also excluded to identify those areas with the greatest potential for development.</div></div><div><br /></div>
Primary Care Shortage Area (PCSA)

<div style='text-align:Left;'><p>In 2004, the California Healthcare Workforce Policy Commission (Commission) adopted formal criteria for designating Primary Care Shortage Areas (PCSA) using physician counts, and demographic and poverty data.</p><p><span>Data updated January 20, 2021.</span></p><p><span>For more information, visit https://hcai.ca.gov/loans-scholarships-grants/grants/song-brown/</span></p></div>
SSWP Fish Entrainment Risk Assessment

The SSWP Fish Entrainment Risk Assessment Study is one of many relicensing documents for the South SWP (SSWP) Hydropower Project Number 2426. The California Department of Water Resources and the Los Angeles Department of Water and Power applied to the Federal Energy Regulatory Commission for a new license of the SSWP Project located in Los Angeles County, California along the West Branch of the State Water Project (SWP). The SWP provides southern California with many benefits, including an affordable water supply, reliable regional clean energy, opportunities to integrate green energy, accessible public recreation opportunities, and environmental benefits.
Peregrine Falcon Observations Generalized [ds2968]

The Peregrine Falcon Observations Database is a product of the California Department of Fish and Wildlifes (CDFWs) Wildlife Branch and Biogeographic Data Branch. It was created by the Santa Cruz Predatory Bird Research Group (https://pbrg.pbsci.ucsc.edu/) then managed privately for a time. CDFW took ownership in 2011. The records generally represent peregrine falcons (PEFA, Falco peregrinus) nesting, perching, and flying. Additional information about the falcon, the database, and submitting data can be found on CDFW''s American Peregrine Falcons in California Webpage: https://www.wildlife.ca.gov/Conservation/Birds/Peregrine-Falcon.This dataset represents observed nest locations for peregrine falcons, generalized to a USGS 7.5 minute topographic quad level. If you need more specific location information, please contact the listed point of contact in the metadata.