AndreaBozzo/ceres-open-data-index huggingface dataset:
Utility Renewable Generation by Type and County: 2021

<span style='font-family:&quot;Avenir Next&quot;, &quot;Avenir Next&quot;; font-size:16px;'>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 plants of 30 MW and less are considered renewable energy sources in California. Hydroelectric plants over 30 MW are non-renewable. Counties without pie symbols had no utility scale renewable electric generation for the year. Data is for 2021 and is current as of July 19, 2022.Projection: NAD 1983 (2011) California (Teale) Albers (Meters). For more information, contact Rebecca Vail at (916) 477-0738 or John Hingtgen at 916) 510-9747.</span>
Utility Solar Capacity and Generation by Type and County: 2018

<span style='font-family:&quot;Avenir Next&quot;, &quot;Avenir Next&quot;; font-size:16px;'>This map of California depicts the amount of solar energy produced in each county (gigawatt hours) as well as the capacity (MW) of each county's utility-scale resources. This data is for 2018 and statewide totals are indicated.</span>
Utility Solar Capacity and Generation by Type and County: 2021

<div style='box-sizing:border-box; max-width:100%; font-family:&quot;Avenir Next&quot;, &quot;Avenir Next&quot;; font-size:16px;'><div style='box-sizing:border-box; max-width:100%;'>Energy data is collected for power plants that have a nameplate capacity of 1</div><div style='box-sizing:border-box; max-width:100%;'>MW or more. Counties that are gray had no utility-scale solar capacity. Data</div><div style='box-sizing:border-box; max-width:100%;'>originates from the California Energy Commission, and is classified using the</div><div style='box-sizing:border-box; max-width:100%;'>Jenk’s Natural Break’s method. Projection: NAD 1983 California (Teale) Albers.</div><div style='box-sizing:border-box; max-width:100%;'>Map created by Rebecca Vail. Map and data are current as of November 3,</div><div style='box-sizing:border-box; max-width:100%;'>2022. For more information, please contact John Hingtgen at</div><div style='box-sizing:border-box; max-width:100%;'>John.hingtgen@energy.ca.gov.</div></div>
Utility Solar Capacity by Type and County: 2019

<p style='box-sizing:border-box; margin-top:0px; margin-bottom:12px; max-width:100%; font-family:&quot;Avenir Next&quot;, &quot;Avenir Next&quot;; font-size:16px;'>Map of 2019 Utility-Scale Solar Capacity by County</p><div style='box-sizing:border-box; max-width:100%; font-size:16px; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif;'><div style='box-sizing:border-box; max-width:100%; margin-bottom:3rem;'><div style='box-sizing:border-box; max-width:100%;'><div style='box-sizing:border-box; max-width:100%; display:inherit;'>This map of California depicts the amount of utility scale solar generation capacity in each county (MW). This data is for 2019 and statewide totals are indicated.</div></div></div></div>
Utility Solar Capacity by Type and County: 2020

<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;'>Energy data is collected for power plants that have a nameplate capacity of 1 MW or more. Counties that are gray either did not report data or had no utility-scale (commercial) solar capacity. Map and data originate from the California Energy Commission Quarterly Fuel and Energy Reports. Data is classified using the Jenk’s Natural Break’s method. Data is from 2020 and is current as of December 13, 2021. Projection: NAD 1983 California (Teale) Albers. For more information, please contact Rebecca Vail at (916) 477-0738 or John Hingtgen at (916) 510-9747.</span>
Utility Solar Generation by Type and County: 2019

<p style='box-sizing:border-box; margin-top:0px; margin-bottom:12px; max-width:100%; font-family:&quot;Avenir Next&quot;, &quot;Avenir Next&quot;; font-size:16px;'>Map of 2019 Utility-Scale Solar Generation by County</p><span style='box-sizing:border-box; max-width:100%; font-size:16px; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif;'>This map of California depicts the amount of solar </span><span style='box-sizing:border-box; max-width:100%; font-size:16px; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif;'>Utility-Scale Solar Generation by county</span><span style='box-sizing:border-box; max-width:100%; font-size:16px; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif;'> (GWh). This data is for 2019 and statewide totals are indicated.</span>
i12 Delta Hydrology

<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;'>This point dataset represents the location of gaging stations in the Sacramento-San Joaquin Delta and Suisun Marsh that have historic and statistical hydrologic data, specifically various river stage data. Stages are given in NAVD88, units feet. Specific stages are given for peak stages, 100-year stages produced under 2 separate US Army Corps of Engineers hydrology reports from 1976 and 1992, the year of previous peak stages cited by the 1976 and 1992 reports, and approximate typical tidal values as approximately estimated based on long term data records. This 2023 version of this datset replaces the prior 2020 version, and should be used as a complete replacement. The underlying analyses did not change, but the USACE peak observed stage field names from the prior version were corrected and supplemental USACE 50- and 100-year stages were added accordingly. In addition, the vertical datum conversion used at specific gages was added. The vertical datum conversion is based on DWR survey and North Central Regional Office information that is maintained for each gage station. The stage data was compiled by Karen Tolentino, engineer with Delta Levees, and by Joel Dudas, Senior Engineer in DWR's Division of Engineering, based on a wide variety of sources, including the HYDSTRA database, various historic bulletins, raw data, station histories, and other information provided by DWR's North Central Region Office, USGS, and other misc sources. They also adjusted all data to approximate NAVD88-related stages. Observed data periods of record varied widely by station, but go back as far as 1905. All peak values were derived from start of records until up to May, 2017.</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;'>The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR Spatial Data Standards, specifically the DWR Spatial Data Standard version 3.5, dated April 12, 2023. DWR makes no warranties or guarantees —either expressed or implied — as to the completeness, accuracy, or correctness of the data. DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data. Comments, problems, improvements, updates, or suggestions should be forwarded to GIS@water.ca.gov.</span></p>
Utility Renewable Generation by County: 2018

<span style='font-family:&quot;Avenir Next&quot;, &quot;Avenir Next&quot;; font-size:16px;'>The map depicts the amount of renewable energy production (gigawatt hours) for each county of California. The state-wide total is also given. The table depicts the amount of renewable energy production for each energy type for every county and a total summation is given. All data is for 2018 and for utility-scale purposes.</span>
Utility Renewable Generation by Type and County: 2018

<span style='font-family:&quot;Avenir Next&quot;, &quot;Avenir Next&quot;; font-size:16px;'>This document features a map of California that contains a pie-chart for each county depicting the proportion of each renewable energy resource used to generate electricity for utility purposes. The types of renewable energy are biomass, geothermal, small hydropower, solar photovoltaic, solar thermal and wind. The same data, along with the total electrical generation (gigawatt hours) of each county, is presented in tabular format on the second page of the document. The statewide total electrical generation from renewable resources is given, as well as the totals for each energy type. </span>
Energy Demand by POEU: 2018

<div>generated at least 700 GWh in 2018. The ones shown are the largest of forty-seven POEU's. The total percentage shown in this map represents the total percentage for all California POEU’s in 2018. Data source: Data Integration and Policy Office (DIPO) Date: 2018 Projected Coordinate System:</div><div>WGS_1984_Web_Mercator_Auxiliary_Sphere Contacts: Diana Popa at diana.popa@energy.ca.gov or John Hingtgen at john.hingtgen@energy.ca.gov</div>
Energy Peak by POEU: 2018

<div>Notes: Capacities shown are effective load carrying capacities reported by utilities and are based on the system peak load hour for the year. The POEUs listed are the largest in the state, and each generated at least 700 GWh in 2018. Data source: Data Integration and Policy Office (DIPO) Date: 2018 Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_Sphere Contacts: Diana Popa at diana.popa@energy.ca.gov or John Hingtgen at john.hingtgen@energy.ca.gov</div>
Utility Solar Generation and Capacity by Type and County Table: 2018

<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 Solar Generation and Capacity by Type and County Table: 2018</span>
Utility Solar Generation and Capacity by Type and County Table: 2019

<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 Solar Generation and Capacity by Type and County Table: 2019</span>
Elk Home Range - American - 2005-2008, 2015-2017 [ds3111]

<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>The project lead for the collection of this data was Bob Stafford. Elk (9 adult females, 5 adult males) from the American herd were captured and equipped with Lotek GPS collars (</SPAN></SPAN><SPAN><SPAN>LifeCycle 800 GlobalStar/ GPS3300L, Lotek Wireless, Newmarket, Ontario, Canada</SPAN></SPAN><SPAN><SPAN>) and ATS GPS collars (G2000, Advanced Telemetry Systems, Isanti, Minnesota, USA), transmitting data from 2005-2008 and 2015-2017. The study area was within the La Panza Elk Management Unit, northeast of State Highway 166 and largely residing within Carrizo Plain National Monument and Carrizo Plains Ecological Reserve. The American herd contains short distance, elevation-based movements likely due to seasonal habitat conditions, but this herd does not migrate between traditional summer and winter seasonal ranges. Instead, the herd displays a residential pattern, slowly moving up or down elevational gradients. Therefore, annual home ranges were modeled using year-round data to demarcate high use areas in lieu of modeling the specific winter ranges commonly seen in other ungulate analyses in California. GPS locations were fixed at 11-13 hour intervals in the dataset. To improve the quality of the data set as per Bjørneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual elk is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst. </SPAN></SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>The methodology used for this analysis allowed for the mapping of the herd’s annual range based on a small sample. Brownian Bridge Movement Models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 11 elk in total, including 20 year-long sequences, location, date, time, and average location error as inputs in Migration Mapper to assess annual range. Annual range BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours and a fixed motion variance of 1000. Population-level annual range designations for this herd may expand with a larger sample, filling in some of the gaps between high-use annual range polygons in the map. Annual range is visualized as the 50</SPAN></SPAN><SPAN><SPAN>th</SPAN></SPAN><SPAN><SPAN> percentile contour (high use) and the 99</SPAN></SPAN><SPAN><SPAN>th</SPAN></SPAN><SPAN> percentile contour of the year-round utilization distribution.</SPAN></P></DIV></DIV></DIV>
Elk Home Range - California Valley - 2005-2006, 2015-2017 [ds3112]

<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>The project lead for the collection of this data was Bob Stafford. Elk (7 adult females, 3 adult males) from the California Valley herd were captured and equipped with Lotek GPS collars (</SPAN></SPAN><SPAN><SPAN>LifeCycle 800 GlobalStar/ GPS3300L, Lotek Wireless, Newmarket, Ontario, Canada</SPAN></SPAN><SPAN><SPAN>) and ATS GPS collars (G2000, Advanced Telemetry Systems, Isanti, Minnesota, USA), transmitting data from 2005-2006 and 2015-2017. The study area was within the La Panza Elk Management Unit, north adjacent of State Highway 58 in the Carrizo Plain and largely residing on a patchwork of private lands and CDFW’s California Valley. The Cedar Canyon herd contains short distance, elevation-based movements likely due to seasonal habitat conditions, but this herd does not migrate between traditional summer and winter seasonal ranges. Instead, the herd displays a residential pattern, slowly moving up or down elevational gradients. Therefore, annual home ranges were modeled using year-round data to demarcate high use areas in lieu of modeling the specific winter ranges commonly seen in other ungulate analyses in California. GPS locations were fixed at 1-13 hour intervals in the dataset. To improve the quality of the data set as per Bjørneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual elk is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst. </SPAN></SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>The methodology used for this analysis allowed for the mapping of the herd’s annual range based on a small sample. Brownian Bridge Movement Models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 9 elk in total, including 17 year-long sequences, location, date, time, and average location error as inputs in Migration Mapper to assess annual range. Annual range BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours and a fixed motion variance of 1000. Population-level annual range designations for this herd may expand with a larger sample, filling in some of the gaps between high-use annual range polygons in the map. Annual range is visualized as the 50</SPAN></SPAN><SPAN><SPAN>th</SPAN></SPAN><SPAN><SPAN> percentile contour (high use) and the 99</SPAN></SPAN><SPAN><SPAN>th</SPAN></SPAN><SPAN> percentile contour of the year-round utilization distribution. </SPAN></P></DIV></DIV></DIV>
Elk Home Range - Cedar Canyon - 2005-2006, 2015-2017 [ds3113]

<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>The project lead for the collection of this data was Bob Stafford. Elk (7 adult females, 3 adult males) from the Cedar Canyon herd were captured and equipped with Lotek GPS collars (</SPAN></SPAN><SPAN><SPAN>LifeCycle 800 GlobalStar/ GPS3300L, Lotek Wireless, Newmarket, Ontario, Canada</SPAN></SPAN><SPAN><SPAN>) and ATS GPS collars (G2000, Advanced Telemetry Systems, Isanti, Minnesota, USA), transmitting data from 2005-2006 and 2015-2017. The study area was within the La Panza Elk Management Unit, north of State Highway 58 in the Temblor Range and largely residing on private lands. The Cedar Canyon herd contains short distance, elevation-based movements likely due to seasonal habitat conditions, but this herd does not migrate between traditional summer and winter seasonal ranges. Instead, the herd displays a residential pattern, slowly moving up or down elevational gradients. Therefore, annual home ranges were modeled using year-round data to demarcate high use areas in lieu of modeling the specific winter ranges commonly seen in other ungulate analyses in California. GPS locations were fixed at 1-13 hour intervals in the dataset. To improve the quality of the data set as per Bjørneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual elk is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst. </SPAN></SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>The methodology used for this analysis allowed for the mapping of the herd’s annual range based on a small sample. Brownian Bridge Movement Models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 9 elk in total, including 17 year-long sequences, location, date, time, and average location error as inputs in Migration Mapper to assess annual range. Annual range BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours and a fixed motion variance of 1000. Population-level annual range designations for this herd may expand with a larger sample, filling in some of the gaps between high-use annual range polygons in the map. Annual range is visualized as the 50</SPAN></SPAN><SPAN><SPAN>th</SPAN></SPAN><SPAN><SPAN> percentile contour (high use) and the 99</SPAN></SPAN><SPAN><SPAN>th</SPAN></SPAN><SPAN> percentile contour of the year-round utilization distribution. </SPAN></P></DIV></DIV></DIV>
Elk Home Range - Chimineas - 2005-2008 [ds3114]

<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>The project lead for the collection of this data was Bob Stafford. Elk (4 adult females, 2 adult males) from the Chimineas herd were captured and equipped with Lotek GPS collars (</SPAN></SPAN><SPAN><SPAN>GPS3300L, Lotek Wireless, Newmarket, Ontario, Canada</SPAN></SPAN><SPAN><SPAN>) and ATS GPS collars (G2000, Advanced Telemetry Systems, Isanti, Minnesota, USA), transmitting data from 2005-2008. The study area was within the La Panza Elk Management Unit, north adjacent to State Highway 166 and largely residing within Carrizo Plains Ecological Reserve with some movement into Los Padres National Forest. State Highway 166 is a likely barrier to movement as no collared elk moved southward across the road to additional habitats. The Chimineas herd contains short distance, elevation-based movements likely due to seasonal habitat conditions, but this herd does not migrate between traditional summer and winter seasonal ranges. Instead, the herd displays a residential pattern, slowly moving up or down elevational gradients. Therefore, annual home ranges were modeled using year-round data to demarcate high use areas in lieu of modeling the specific winter ranges commonly seen in other ungulate analyses in California. GPS locations were fixed at 1-13 hour intervals in the dataset. To improve the quality of the data set as per Bjørneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual elk is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst. </SPAN></SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>The methodology used for this analysis allowed for the mapping of the herd’s annual range based on a small sample. Brownian Bridge Movement Models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 5 elk in total, including 7 year-long sequences, location, date, time, and average location error as inputs in Migration Mapper to assess annual range. Annual range BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours and a fixed motion variance of 1000. Population-level annual range designations for this herd may expand with a larger sample, filling in some of the gaps between high-use annual range polygons in the map. Annual range is visualized as the 50</SPAN></SPAN><SPAN><SPAN>th</SPAN></SPAN><SPAN><SPAN> percentile contour (high use) and the 99</SPAN></SPAN><SPAN><SPAN>th</SPAN></SPAN><SPAN><SPAN> percentile contour of the year-round utilization distribution. </SPAN></SPAN></P></DIV></DIV></DIV>
1 MW and Smaller Solar PV Capacity and Number by County: 2021

Energy generation data and map are from the Quarterly Fuel and Energy Reporting Form CEC-1304B and the California Energy Commission. Map depicts distributed solar photovoltaic capacity (with nameplate capacity of 1,000 kW or less). Data is from December 2021 and is current as of August 18, 2022. Projection: NAD 1983 (2011) California (Teale) Albers (Meters). For more information, contact Rebecca Vail at (916) 477-0738 or John Hingtgen at (916) 510-9747.