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.

Tags: 30x30, ca-nature, cal-adapt, california-natural-resources-agency, caopendata, climate, projection, temperature
Organization: State of California
10 Model Ensemble, 30 Year Named Climate Period Average Precipitation

<p>This dataset contains a 30-year average of annual average
precipitation across all ten models and two greenhouse gas (RCP) scenarios in
the ten model ensemble.  Three named time
periods are included “Historic Baseline (1961-1990)”, “Mid-Century
(2035-2064)”, and “End of Century (2070-2099).”</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.</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>

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.

Tags: 30x30, ca-nature, cal-adapt, california-natural-resources-agency, caopendata, climate, precipitation, projection
Organization: State of California
10 Model Ensemble, 30 Year Named Climate Period Average Minimum and Maximum Average Temperatures

<p>This dataset contains a 30-year average of annual average
minimum and maximum temperatures across all ten models and two greenhouse gas (RCP)
scenarios in the ten model ensemble.<span> 
</span>Three named time periods are included “Historic Baseline (1961-1990)”,
“Mid-Century (2035-2064)”, and “End of Century (2070-2099).”</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.</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>

Tags: 30x30, ca-nature, cal-adapt, california-natural-resources-agency, caopendata, climate, projection, temperature
Organization: State of California
Single Climate Model, 30-year Rolling Average Precipitation

<p>This dataset contains a 30-year rolling average of annual
average precipitation from the four models and two greenhouse gas (RCP) scenarios
included in the four model ensemble for the years 1950-2099.<span>  </span>The year identified 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><span style='text-indent:-0.25in;'>HadGEM2-ES (warm/dry), </span></li><li><span style='text-indent:-0.25in;'>CanESM2 (average), </span></li><li><span style='text-indent:-0.25in;'>CNRM-CM5 (cooler/wetter), </span></li><li><span style='text-indent:-0.25in;'>and MIROC5 the model least like the others to
improve coverage of the range of outcomes.</span></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>

Tags: 30x30, ca-nature, cal-adapt, california-natural-resources-agency, caopendata, climate, precipitation, projection
Organization: State of California
Single Climate Model, 30-year Rolling Average Minimum and Maximum Average Temperatures

<p>This dataset contains a 30-year rolling average of annual
average minimum and maximum temperatures from the four models and two greenhouse
gas (RCP) scenarios included in the four model ensemble for the years
1950-2099.The year identified 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>

Tags: 30x30, ca-nature, cal-adapt, california-natural-resources-agency, caopendata, climate, projection, temperature
Organization: State of California
Conservation Opportunities Modeler User Guide

<p></p><p>This guide will introduce the <a href='https://experience.arcgis.com/experience/23d722cab25c482593645019057fa0e0/' target='_blank' rel='nofollow ugc noopener noreferrer'>Conservation Opportunities Modeler</a> and will familiarize you with key features and capabilities. </p><p>The Conservation Opportunities Modeler allows users to express their own priorities through selecting data pulled from an extensive library, assigning weights and scores, and visualizing the areas with high value based on the user's choices. </p>

Tags: ca-nature, california-natural-resources-agency, caopendata
Organization: State of California
Ca. 4th Climate Change Assessment Regions

<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;'>Regional boundaries for use 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>

Tags: 30x30, ca-nature, california-natural-resources-agency, caopendata, contextual
Organization: State of California
Ca. 4th Climate Change Assessment Regions (CaNAD83)

<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;'>Regional boundaries for use 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>

Tags: 30x30, ca-nature, california-natural-resources-agency, caopendata, contextual
Organization: State of California
Access Explorer GAP12 Open Access Enriched

<div>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:</div><div><br /></div><div>1. Half-mile access sheds from open access areas considered 30x30 Conservation Areas (GAP Code 1 and 2)</div><div>2. Half-mile access sheds from open access areas in the Conservation Areas dataset (GAP Codes 1, 2, 3, 4)</div><div>3. All city and county areas to provide baseline demographics for comparison. </div><div><br /></div><div>Demographic variables include:</div><div><ol><li>Population</li><li>Age Distribution</li><li>Educational Attainment</li><li>Housing Unit Occupancy</li><li>Hispanic or Latino Origin</li><li>Race</li><li>Household income</li></ol></div><div><br /></div>

Tags: access, ca-nature, california-natural-resources-agency, caopendata
Organization: State of California
Access Explorer All Areas Open Access Enriched

<div>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:</div><div><br /></div><div>1. Half-mile access sheds from open access areas considered 30x30 Conservation Areas (GAP Code 1 and 2)</div><div>2. Half-mile access sheds from open access areas in the Conservation Areas dataset (GAP Codes 1, 2, 3, 4)</div><div>3. All city and county areas to provide baseline demographics for comparison. </div><div><br /></div><div>Demographic variables include:</div><div><ol><li>Population</li><li>Age Distribution</li><li>Educational Attainment</li><li>Housing Unit Occupancy</li><li>Hispanic or Latino Origin</li><li>Race</li><li>Household income</li></ol></div><div><br /></div>

Tags: access, ca-nature, california-natural-resources-agency, caopendata
Organization: State of California
Access sheds for all public open spaces

<div>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:</div><div><br /></div><div>1. Half-mile access sheds from open access areas considered 30x30 Conservation Areas (GAP Code 1 and 2)</div><div>2. Half-mile access sheds from open access areas in the Conservation Areas dataset (GAP Codes 1, 2, 3, 4)</div><div>3. All city and county areas to provide baseline demographics for comparison. </div><div><br /></div><div>Demographic variables include:</div><div><ol><li>Population</li><li>Age Distribution</li><li>Educational Attainment</li><li>Housing Unit Occupancy</li><li>Hispanic or Latino Origin</li><li>Race</li><li>Household income</li></ol></div><div><br /></div>

Tags: access, ca-nature, california-natural-resources-agency, caopendata
Organization: State of California
Access Explorer City County Reference

<div>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:</div><div><br /></div><div>1. Half-mile access sheds from open access areas considered 30x30 Conservation Areas (GAP Code 1 and 2)</div><div>2. Half-mile access sheds from open access areas in the Conservation Areas dataset (GAP Codes 1, 2, 3, 4)</div><div>3. All city and county areas to provide baseline demographics for comparison. </div><div><br /></div><div>Demographic variables include:</div><div><ol><li>Population</li><li>Age Distribution</li><li>Educational Attainment</li><li>Housing Unit Occupancy</li><li>Hispanic or Latino Origin</li><li>Race</li><li>Household income</li></ol></div><div><br /></div>

Tags: access, ca-nature, california-natural-resources-agency, caopendata
Organization: State of California
Open Data User Guide

<p></p><p>This guide will introduce the open data resources available in the <a href='https://www.californianature.ca.gov/pages/ca-nature' target='_blank' rel='nofollow ugc noopener noreferrer'>CA Nature website</a> and familiarize you with key features and capabilities of the site.</p><p><a href='https://www.californianature.ca.gov/pages/ca-nature' target='_blank' rel='nofollow ugc noopener noreferrer'>CA Nature</a> is an online Geographic Information System (or GIS), that collects a suite of publicly accessible interactive digital mapping tools and data. </p>

Tags: 30x30, ca-nature, california-natural-resources-agency, caopendata, contextual
Organization: State of California
McKinney 2022 DINS Public View

<span style='background-color:rgb(255, 255, 255);'><font size='3'>This database was designed in response to the Director Memorandum - <b>&quot;Effective January 1, 2019 all structure greater than 120 square feet in the State Responsibility Area (SRA) damaged by wildfire will be inspected and documented in the DINS Collector App.&quot;</b></font></span><div><span style='background-color:rgb(255, 255, 255);'><font size='3'><b><br /></b></font></span></div><div><font size='3'>To document and structure damaged or destroyed by the McKinney wildland fire open the associated Field Map app.</font></div><div><font size='3'><br /></font></div><div><font size='3'><b>NOTE</b> - this feature service is configured to not allow record deletion. If a record needs to be deleted contact the program manager below.</font></div><div><font size='3'><br /></font></div><div>This is the schema developed and used by the CAL FIRE Office of State Fire Marshal to assess and record structure damage on wildland fire incidents. The schema is designed to be configured in the Esri Collector/Field Maps app for data collection during or after an incident.<font size='3'><br /></font></div>

Tags: 2022, cal-fire, dins, mckinney, office-of-the-state-fire-mrshal, osfm, will-be-deleted-on-april-30-2025-unless-tag-is-removed
Organization: State of California
Mill Mountain 2022 DINS Public View

<span style='background-color:rgb(255, 255, 255);'><font size='3'>This database was designed in response to the Director Memorandum - <b>&quot;Effective January 1, 2019 all structure greater than 120 square feet in the State Responsibility Area (SRA) damaged by wildfire will be inspected and documented in the DINS Collector App.&quot;</b></font></span><div><span style='background-color:rgb(255, 255, 255);'><font size='3'><b><br /></b></font></span></div><div><font size='3'>To document and structure damaged or destroyed by the Mill wildland fire open the associated Field Map app.</font></div><div><font size='3'><br /></font></div><div><font size='3'><b>NOTE</b> - this feature service is configured to not allow record deletion. If a record needs to be deleted contact the program manager below.</font></div><div><font size='3'><br /></font></div><div>This is the schema developed and used by the CAL FIRE Office of State Fire Marshal to assess and record structure damage on wildland fire incidents. The schema is designed to be configured in the Esri Collector/Field Maps app for data collection during or after an incident.<font size='3'><br /></font></div>

Tags: 2022, cal-fire, dins, mill, mountain, office-of-the-state-fire-mrshal, osfm, will-be-deleted-on-april-30-2025-unless-tag-is-removed
Organization: State of California
Mosquito 2022 DINS Public View Placer County

<span style='background-color:rgb(255, 255, 255);'><font size='3'>This database was designed in response to the Director Memorandum - <b>&quot;Effective
 January 1, 2019 all structure greater than 120 square feet in the State
 Responsibility Area (SRA) damaged by wildfire will be inspected and 
documented in the DINS Collector App.&quot;</b></font></span><div><span style='background-color:rgb(255, 255, 255);'><font size='3'><b><br /></b></font></span></div><div><font size='3'>To document and structure damaged or destroyed by the Mosquito wildland fire open the associated Field Map app.</font></div><div><font size='3'><br /></font></div><div><font size='3'><b>NOTE</b>
 - this feature service is configured to not allow record deletion. If a
 record needs to be deleted contact the program manager below.</font></div><div><font size='3'><br /></font></div><div>This
 is the schema developed and used by the CAL FIRE Office of State Fire 
Marshal to assess and record structure damage on wildland fire 
incidents. The schema is designed to be configured in the Esri 
Collector/Field Maps app for data collection during or after an 
incident.<font size='3'><br /></font></div>

Tags: 2022, cal-fire, dins, mosquito, office-of-the-state-fire-mrshal, osfm, will-be-deleted-on-april-30-2025-unless-tag-is-removed
Organization: State of California