AndreaBozzo/ceres-open-data-index huggingface dataset:
NLCD 2011 Land Cover California Subset

<div style='text-align:Left;'><div><div><p><span>The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.</span></p></div></div></div>
NLCD 2008 Land Cover California Subset

<div style='text-align:Left;'><div><div><p><span>The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.</span></p></div></div></div>
NLCD 2006 Land Cover California Subset

<div style='text-align:Left;'><div><div><p><span>The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.</span></p></div></div></div>
NLCD 2004 Land Cover California Subset

<div style='text-align:Left;'><div><div><p><span>The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.</span></p></div></div></div>
NLCD 2001 Land Cover California Subset

<div style='text-align:Left;'><div><div><p><span>The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.</span></p></div></div></div>
Sierra Meadows Project [ds4]

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Recognizing Montane Meadows and Quaking Aspen communities are a rare and valuable resource to plant and animal species in the Sierra Nevada, this project represents the beginning of a monitoring strategy for the conservation management of these ecosystems. The projects goals and objectives are to develop an accurate inventory of these systems, including high-resolution mapping and classification of community types, and surveys of selected terrestrial and aquatic animal species which depend on them. Other inventory related products include 360° photography, online survey reports and dynamic maps. In addition, refinements to electronic data collection tools and applications are provided to enhance future assessment programs.</SPAN></P></DIV></DIV></DIV>
Stream Habitat Reach Summary - Russian River [ds77]

Results of in-stream habitat surveys (Downie et al 1998 method), summarized by stream reach, for DFG surveys conducted between 1994 and 2001 (inclusive) in the Russian River Basin (CalWater 2.2.1 hydrologic area), Central Coast Region. Sampled habitat parameters, including pool type, frequency and depth; substrate class; bank vegetation composition and canopy closure; and in-stream cover, were measured at the unit scale and summarized to stream reach.
Red Sesbania Distribution - points [ds80]

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This layer contains point data for the red sesbania (Sesbania punicea) database. The database represents historic and current observations by various individuals of occurrences red sesbania, a non-native invasive plant that currently is invading riparian ecosystems in California. Most occurrences are in the Central Valley, but a few are in the San Francisco Bay area and in a few watersheds to the north. These data were compiled to aid in the eradication and control of the species where it is invasive, as well as to inform the public of its spread. As of February 1, 2006, there were 91 records of point occurrences maintained in an Access database titled SesbaniaData. Each record represents a point where red sesbania occurs.</SPAN></P></DIV></DIV></DIV>
Red Sesbania Distribution - lines [ds81]

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This layer conatains line data for the red sesbania (Sesbania punicea) database. The database represents historic and current observations by various individuals of occurrences of red sesbania, a non-native invasive plant that currently is invading riparian ecosystems in California. Most occurrences are in the Central Valley, but a few are in the San Francisco Bay area and in a few watersheds to the north. These data were compiled to aid in the eradication and control of the species where it is invasive, as well as to inform the public of its spread. As of February 1, 2006, there were 25 records of linear occurrences maintained in an Access database titled SesbaniaData. Each record represents a line, or linear scattered occurrence of red sesbania.</SPAN></P></DIV></DIV></DIV>
Greater Sage-grouse Range - NE CA - 2005 [ds96]

<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 6 0;"><SPAN><SPAN>This dataset was developed to map changes in greater sage-grouse range over time in northeastern California.  Records in this dataset represent current and historic range.  Current and historic range were mapped and reported on by Frank Hall in Determining Changes in Abundance of Sage-Grouse (Centrocercus urophasianus) in California, August 1995.  The ranges were hand drawn on 1:250,000 scale USGS maps and then digitized in ArcInfo. For a larger range mapping project and range continuity, input from DFG and BLM wildlife biologists in northern California, southern Oregon, and western Nevada was collected using the same methods; hand drawn ranges on 1:250,000 scale USGS maps and then digitized in ArcInfo.  In 2005, Hall modified the current range that is represented in this dataset.      Number of records:  There are 9 polygons representing current or historic range.    Geographic extent of records:  Extent includes Siskiyou, Modoc, Lassen, Sierra, Plumas, and Shasta Counties in California.</SPAN></SPAN></P></DIV></DIV></DIV>
EVSE Deployment and Grid Evaluation (EDGE)

<p><font size='3'>The EVSE Deployment and Grid Evaluation (EDGE) Tool is
a mapping and visualization tool that provides the ability for users to assess
the feasibility of deploying charging infrastructure in the context of local
grid constraints.</font></p><p><font size='3'>EDGE
inputs information from two sources:</font></p><p></p><ul><li><font size='3'><b>California Investor-Owned Utility (IOU) Grid Needs Assessment (GNA) datasets</b> - The GNA data provide information regarding the amount of &quot;headroom&quot;
that primary circuits and substations have to accommodate new load before
requiring attention, such as equipment upgrades. Notably, there is no
information present regarding the secondary distribution system. The GNA
dataset EDGE currently uses is forecasted through 2025.</font></li><li><font size='3'><b>Results from the <a href='https://www.energy.ca.gov/data-reports/reports/electric-vehicle-charging-infrastructure-assessment-ab-2127' target='_blank' rel='nofollow ugc noopener noreferrer'>CEC's AB 2127 Assessment</a> Infrastructure Models, EVI-Pro and HEVI-LOAD</b> - Hourly load profiles from both models are combined and their overall peak values are assessed.</font></li></ul><div><font size='3'>The main result presented by EDGE is the capacity indicator metric (CIM), which is obtained by subtracting the peak EV charging load from the aggregated circuit capacity value for each TAZ throughout the state.</font></div><div><font size='3'><br /></font></div><div><i><font size='3'>Data last updated on 8/10/2023.</font></i></div><p></p><p><br /></p>
Utility Renewable Generation by Type and County: 2022

<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;'>Utility Renewable Generation by Type and County: 2022 Energy generation data and map are from the California Energy Commission and include utility scale power plants. Plants of any type below 1 MW (e.g residential solar) are not included. Hydroelectric plant of 30 MW and less are considered renewable energy sources in California. Hydroelectric plants over 30MW are non-renewable. Counties without pie symbols has no utility scale renewable electric generation for the year. Data is for 2022 and is current as of August 4, 2023. Projection: NAD 1983 (2011) California (Teale) Albers (Meters). For more information, contact Gordon Huang at (916) 477-0738 or John Hingtgen at (916) 510-9747.</span>
Utility Wind Project Size by County and State: 2022

<div>This map illustrates the variety of median plant capacity sizes across the United States and California counties for wind plants whose total nameplate capacity is greater than or equal to 1 MW. The absence of plants in the southeastern United States and California is attributable to low average wind speeds (United States - Annual Average Wind Speed, AWS Truepower and National Renewable Energy Lab). Hurricane strength winds are not usable with current technology. Median plant capacity is a function of the statewide capacity and the number of plants within the defined area.</div>
Riparian Birds - Sierra Nevada Foothills [ds303] Extended Table

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>These data are summary statistics of abundances of birds counted within 100-m radius circles with 10-minute point counts at multiple sample points along 36 randomly selected watercourses in the foothills of the Sierra Nevada Mountain Range. Bird surveys were conducted between 25 March 2005 and 30 June 2005 along watercourses from Butte to Calaveras counties. These data represent 2,614 detections of 94 species at 144 different sample points along the 36 watercourses.</SPAN></P></DIV></DIV></DIV>
Riparian Birds - Sierra Nevada Foothill [ds303]

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>These data are summary statistics of abundances of birds counted within 100-m radius circles with 10-minute point counts at multiple sample points along 36 randomly selected watercourses in the foothills of the Sierra Nevada Mountain Range. Bird surveys were conducted between 25 March 2005 and 30 June 2005 along watercourses from Butte to Calaveras counties. These data represent 2,614 detections of 94 species at 144 different sample points along the 36 watercourses.</SPAN></P></DIV></DIV></DIV>
Riparian Birds - Sierra Nevada Foothills [ds303]

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>These data are summary statistics of abundances of birds counted within 100-m radius circles with 10-minute point counts at multiple sample points along 36 randomly selected watercourses in the foothills of the Sierra Nevada Mountain Range. Bird surveys were conducted between 25 March 2005 and 30 June 2005 along watercourses from Butte to Calaveras counties. These data represent 2,614 detections of 94 species at 144 different sample points along the 36 watercourses.</SPAN></P></DIV></DIV></DIV>
Riparian Habitats - Sierra Nevada Foothills [ds304]

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>These data are habitat polygons within a 200-m radius around point locations where wildlife surveys were conducted along 19 randomly selected watercourses in the foothills of the Sierra Nevada Mountain Range from Butte to Calaveras counties. These wildlife surveys included point counts of birds (from 10-minute counts) within 100-m radius circles, and playback surveys of hawks and owls. Bird point count surveys were conducted between 25 March 2005 and 30 June 2005, while the hawk and owl surveys were conducted between 28 March 2005 and 19 July 2005. These data are from 74 sample points along the 19 watercourses. Habitat polygons were delineated from DOQQs and then field verified in July-August 2005.</SPAN></P></DIV></DIV></DIV>
Snags - Spears and Didion Ranches [ds317] Extended Table

<DIV STYLE="text-align:Left;"><DIV><P><SPAN>These data are the characteristics of the individual snags (standing dead trees) found at 15 sample points with three 0.05-ha circular plot habitat samples taken in 2005 at sample points at Spears and Didion Ranches, Placer County, California. Twelve of the forty-five 0.05-ha circular plots contained snags. To be counted, snags had to be &gt; 4" dbh and &gt; 9.8 ft tall and within the 12.6 m radius plot.</SPAN></P></DIV></DIV>
Snags - Spears and Didion Ranches [ds317]

<DIV STYLE="text-align:Left;"><DIV><P><SPAN>These data are the characteristics of the individual snags (standing dead trees) found at 15 sample points with three 0.05-ha circular plot habitat samples taken in 2005 at sample points at Spears and Didion Ranches, Placer County, California. Twelve of the forty-five 0.05-ha circular plots contained snags. To be counted, snags had to be &gt; 4" dbh and &gt; 9.8 ft tall and within the 12.6 m radius plot.</SPAN></P></DIV></DIV>
Seedlings and Saplings - Spears and Didion Ranches [ds318] Extended Table

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>These data are the total number and average number of saplings and seedlings of trees detected from 0.05-ha circular plot habitat samples taken in 2005 at sample points at Spears and Didion Ranches, Placer County, California. Seedlings and saplings were counted from nine 1-square meter (0.56-m radius) circular plots located within each 0.05-ha circular habitat sampling plot. There were three 0.05-ha circular habitat sampling plots at each of the 15 sample points. One 1-square meter plot was located at the center of 0.05-ha plot, and the eight remaining plots were located 8 m away from the center point at 45 degree intervals in the circular.</SPAN></P></DIV></DIV></DIV>