AndreaBozzo/ceres-open-data-index huggingface dataset:
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, CAOpenData, Cal-Adapt, California Natural Resources Agency, Climate, Projection, Temperature
Organization: California Natural Resources Agency
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, CAOpenData, Cal-Adapt, California Natural Resources Agency, Climate, Precipitation, Projection
Organization: California Natural Resources Agency
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, CAOpenData, Cal-Adapt, California Natural Resources Agency, Climate, Projection, Temperature
Organization: California Natural Resources Agency
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, CAOpenData, Cal-Adapt, California Natural Resources Agency, Climate, Precipitation, Projection
Organization: California Natural Resources Agency
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, CAOpenData, Cal-Adapt, California Natural Resources Agency, Climate, Projection, Temperature
Organization: California Natural Resources Agency
Vegetation - Suisun Marsh - 2000 [ds161]

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This vegetation mapping project of Suisun Marsh blends ground-based classification, aerial photo interpretation, and GIS editing and processing. The method is based on the development of a quantitative vegetation classification, which is used to describe the vegetation map units of the marsh. The classification is defined to meet the specifications of the National and State standards for vegetation classification, but is related through a cross-walking table to other standard classifications in use locally or statewide ( http://www.nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=24570 ).</SPAN></P></DIV></DIV></DIV>

Tags: Auth_CDFW, CAOpenData, CDFW, California Department of Fish And Wildlife, California Natural Resources Agency, DS0161_20140822_wm, distribution, habitat attributes, inventory, management, monitoring, planning, special status species, trent, vegetation
Organization: California Department of Fish and Wildlife
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>

Tags: 30x30, CA Nature, CAOpenData, Cal-Adapt, California Natural Resources Agency, Climate, Precipitation, Projection
Organization: California Natural Resources Agency
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>

Tags: 30x30, CA Nature, CAOpenData, Cal-Adapt, California Natural Resources Agency, Climate, Precipitation, Projection
Organization: California Natural Resources Agency
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/

Tags: CA Nature, CAOpenData, California, California Natural Resources Agency, Contextual, Ecoregions, USDA
Organization: California Natural Resources Agency
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>

Tags: Auth_CDFW, CAOpenData, CDFW, California, California Department of Fish And Wildlife, California Natural Resources Agency, DS2851_20200428_wm, amphibian, biota, cn Gregarious Slender Salamander, environment, habitat, natural resources, sn batrachoseps gregarious, species, wildlife
Organization: California Department of Fish and Wildlife
Post Primacy Aquifer Exemptions

<div style='text-align:justify;'>This post primacy aquifer exemption data depicts areas exempted by the US EPA for Class II injection after the March 14, 1983 Primacy agreement between the US EPA and CalGEM. This dataset represents an expansion of the original primacy exempted areas based on aquifer exemption packages that were approved between 1985 and 2021.</div>

Tags: CAOpenData, CNRA, CalGEM, California Department of Conservation, California Geologic Energy Management Division, California Natural Resources Agency, DOC
Organization: California Department of Conservation
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>

Tags: 30x30, CA Nature, CAOpenData, California Natural Resources Agency, Conservation, Conserved Areas, Contextual, Marine, Terrestrial
Organization: California Natural Resources Agency