AndreaBozzo/ceres-open-data-index huggingface dataset:
Lark Sparrow Habitat Model for NSNF Connectivity - CDFW [ds1043]

The Maxent modeling algorithm was used to build the species distribution model at 270 m spatial resolution using species occurrence points and environmental layers as predictors (Phillips et al. 2006). Species occurrence points were primarily obtained from CNDDB (California Natural Diversity Database) and other CDFW sources, GBIF (Global Biodiversity Information Facility), PRBO (Point Blue Conservation Science) and Arctos museum databases. Vegetation, distance to water, elevation, and bioclimatic variables (Franklin et al. 2013) were used as predictor variables. The models were run at 270 m spatial resolution with five replications using cross-validation as a method of sample evaluation. Cross-validation involved the partitioning of the sample data into n subsets, fitting the models to n-1subsets, and testing the model on the one subset not used in fitting the model. Initial model runs showed that our models converged around 2,000 iterations and for this reason we ran all models with 2,500 maximum iterations. Maxent was implemented in R using the ‘dismo''package (Hijmans et al. 2011). Model evaluation was carried out using the ‘PresenceAbsence''package in R (Freeman and Moisen 2008). We used AUC as a metric to evaluate model performance. The package also computes threshold values using several accuracy metrics to translate predicted probability maps into binary suitable and unsuitable habitats. We selected the MeanProb, a threshold set based on the mean predicted probability of species occurrences. The output from Maxent are grid datasets in a multiband ‘tif''format with one band for each replication. We averaged the five replicated maps and created a mean grid for each species. The grid was then symbolized to represent low (threshold-50), medium (50-75) and high (75-100) habitat suitability, with pixel values that are below the threshold excluded. Models were reviewed by CDFW species experts; please review the use limitations.For more information see the project report at [https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=85358].

Tags: auth_cdfw, bird, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, cn-lark-sparrow, connectivity-modeling, ds1043_20141006_wm, habitat-modeling, sn-chondestes-grammacus
Organization: State of California
Bobcat Habitat Suitability Model for NSNF Connectivity - CDFW [ds1027]

This grid represents habitat suitability based on the California Wildlife Habitat Relationships (CWHR) expert opinion habitat suitability rankings by habitat type. Habitat suitability rankings (ranging 0-100) for each combination of habitat type, size class (dbh) and cover class (density) were applied to the 30 m vegetation grid using CWHRs Bioview. These values were then averaged across grid cells to create a 270 m grid consistent with that used in the Maxent models for the project. The grid was then symbolized to represent low (0-50), medium (50-75) and high (75-100) habitat suitability. Models were reviewed by CDFW species experts; please review the use limitations.For more information see the project report at [https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=85358].

Tags: auth_cdfw, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, cn-bobcat, connectivity-modeling, ds1027_20140903_wm, habitat-modeling, northern-sierra-nevada-foohills, sn-lynx-rufus
Organization: State of California
Utility Renewable Capacity by Type and County: 2022

<div>Energy data and map are from the California Energy Commission and include utility scale</div><div>power plants. Plants of any type below 1 MW (e.g. residential solar) are not included.</div><div>Hydroelectric plants of 30 MW and less are considered renewable energy sources in</div><div>California. Hydroelectric plants over 30 MW are non-renewable. Counties without pie</div><div>symbols had no utility scale renewable energy capacity for the year. Data is for 2022 and is</div><div>current as of November 2, 2023. Projection: NAD 1983 (2011) California (Teale) Albers</div><div>(Meters). For more information, contact John Hingtgen at wgrshelp@energy.ca.gov or</div><div>Gordon Huang at qfergen@energy.ca.gov.</div>

Tags: california-energy-commission, california-natural-resources-agency, caopendata, ead
Organization: State of California
Vegetation - Great Valley Ecoregion [ds2632]

<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>Geodatabase feature class containing a map of vegetation within the Great Valley Ecoregion produced by the Geographical Information Center (GIC) at CSU Chico. The dataset combines both new mapping and the previously completed Central Valley Riparian and Sacramento Valley and the Southern San Joaquin Valley vegetation maps. Vegetation polygons were manually digitized as interpreted using the National Agricultural Inventory Program's (NAIP) 2009 (Central Valley Riparian and Sacramento Valley map), 2012 (Southern San Joaquin Valley map) and 2014 (balance of San Joaquin Valley) aerial imagery at a scale of 1:2000. The minimum mapping unit (mmu) for natural vegetation is 1.0 acre, with a minimum average width of 10 meters. The mmu for agricultural and urban polygons is 10 acres. Vegetation is attributed to the Group and Alliance level of the state and national vegetation hierarchy. In some cases, polygons were attributed only to Group or Macrogroup level when the Alliance could not be determined from photointerpretation. The map classification is based on the key to vegetation types in Buck-Diaz et al. 2012. The Central Valley and Sacramento Valley maps were assessed for Accuracy with an average users’ accuracy of 90.2 percent and users’ accuracy of 89 percent. The San Joaquin Valley portion of the map was field verified by the mappers but was not otherwise assessed for accuracy (see Supplemental Information below for details). </SPAN><SPAN><SPAN>More information can be found in the project report, which is bundled with the vegetation map published for BIOS here: </SPAN></SPAN><A href="https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/2600_2699/ds2632.zip" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/2600_2699/ds2632.zip</SPAN></SPAN></A><SPAN>.</SPAN></P></DIV></DIV></DIV>

Tags: alliance-level, auth_cdfw, biota, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, ds2632_20240829_wm, environment, plant, vegetation-mapping
Organization: State of California
Mountain Quail Habitat Model for NSNF Connectivity - CDFW [ds1046]

The Maxent modeling algorithm was used to build the species distribution model at 270 m spatial resolution using species occurrence points and environmental layers as predictors (Phillips et al. 2006). Species occurrence points were primarily obtained from CNDDB (California Natural Diversity Database) and other CDFW sources, GBIF (Global Biodiversity Information Facility), PRBO (Point Blue Conservation Science) and Arctos museum databases. Vegetation, distance to water, elevation, and bioclimatic variables (Franklin et al. 2013) were used as predictor variables. The models were run at 270 m spatial resolution with five replications using cross-validation as a method of sample evaluation. Cross-validation involved the partitioning of the sample data into n subsets, fitting the models to n-1subsets, and testing the model on the one subset not used in fitting the model. Initial model runs showed that our models converged around 2,000 iterations and for this reason we ran all models with 2,500 maximum iterations. Maxent was implemented in R using the ‘dismo''package (Hijmans et al. 2011). Model evaluation was carried out using the ‘PresenceAbsence''package in R (Freeman and Moisen 2008). We used AUC as a metric to evaluate model performance. The package also computes threshold values using several accuracy metrics to translate predicted probability maps into binary suitable and unsuitable habitats. We selected the MeanProb, a threshold set based on the mean predicted probability of species occurrences. The output from Maxent are grid datasets in a multiband ‘tif''format with one band for each replication. We averaged the five replicated maps and created a mean grid for each species. The grid was then symbolized to represent low (threshold-50), medium (50-75) and high (75-100) habitat suitability, with pixel values that are below the threshold excluded. Models were reviewed by CDFW species experts; please review the use limitations.For more information see the project report at [https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=85358].

Tags: auth_cdfw, bird, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, cn-mountain-quail, connectivity-modeling, ds1046_20141006_wm, habitat-modeling, sn-oreortyx-pictus
Organization: State of California
California State Senate Districts Map 2020

<span>Final approved map by the 2020 California Citizens Redistricting Commission for the California State Senate</span><span>; the authoritative and official delineations of the 
California State Senate drawn during the 2020 redistricting cycle. The
 Citizens Redistricting Commission for the State of California has 
created statewide district maps for the State Assembly, State Senate, 
State Board of Equalization, and United States Congress in accordance, 
with the provisions of Article XXI of the California Constitution. The 
Commission has approved the final maps and certified them to the 
Secretary of State.</span><div><span><br /></span></div><div><span>Line
 drawing criteria included population equality as required by the U.S. 
Constitution, the Federal Voting Rights Act, geographic contiguity, 
geographic integrity, geographic compactness, and nesting. Geography was
 defined by U.S. Census Block geometry.</span></div><div><span><br /></span></div><div><span>Each of the 40 Senate districts has an ideal population of nearly one million people and represents the largest state legislative districts in the nation. In consideration of population equality, the Commission chose to limit the population deviation as close to zero percent as practicable. Per the California Constitution, the Commission strived to nest two Assembly districts where practicable. However, higher ranking criteria made this difficult in practice. While the size of the Senate districts allowed the Commission to recognize broadly shared interests, these interests did not always overlap exactly with the interests of smaller communities recognized in the related Assembly districts. Based on the large number of people in each district, there were a variety of different interests that were balanced and included.<br /></span></div>

Tags: california-citizens-redistricting-commission, california-state-senate-districts-map-2020
Organization: State of California
i12 Salinity Transects SouthDelta

<div style='text-align:Left;'><p><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;'>This is a point feature class of high-frequency specific conductance and water temperature measurements at specific points in the South Delta. Specific conductance data was collected for the Department’s involvement in the South Delta Salinity Monitoring Special Study required by the State Water Boards 2018 amendment to the Bay-Delta Water Quality Control Plan (Bay-Delta Plan). The candidate dataset includes all data collected for the High-Speed Salinity Mapping component of the study between September 2021 and December 2023. The dataset contains specific conductance measurements collected at fixed time intervals while traversing channel reaches by boat. The dataset is comprised of date/time, run name, channel name, Lat/Long, speed over ground, course over ground, specific conductance (µS/cm), and temperature (C°). Sample water was pumped through a flow-cell, housing a YSI EXO2 sonde and conductivity/temperature sensor. Water quality measurements were collected at frequencies between 1-5 seconds and spatially located using a WAAS-enabled GPS receiver (Garmin GPS 16x). Transect routes encompass all reaches in the southern Delta identified, in the Bay-Delta Plan, as locations for future segment-based salinity compliance. The salinity transects were performed as a method to validate model outcomes, validate stationary, continuous water quality monitoring sites, inform understanding of tidal dispersion in hydrologically complex regions of the study area, and inform the development of protocols for segment- based salinity compliance.</span><br /></p></div>

Tags: bay-delta-plan, california-department-of-water-resources, doughty-cut, dwr, dwr-gis-atlas, grant-line-canal, high-speed-mapping, inland-waters, middle-river, monitoring-special-study, old-river, paradise-cut, salinity, san-joaquin, south-delta, specific-conductance, sugar-cut, transects, water-quality-control-plan
Organization: State of California
Salmonid Population Monitoring Areas - California - CMP [ds3001]

The California Monitoring Plan (CMP) salmonid monitoring areas and associated population data are part of an ongoing effort to summarize existing and past salmonid monitoring efforts in the areas identified by Adams et al. 2011. These data are compiled and maintained by the California Department of Fish and Wildlife with the cooperation of monitoring practitioners. Updates and associated outreach are intended to occur on an annual basis. Data were created from several sources and existing datasets: some monitoring areas were accurately depicted using the USGS National Hydrography Dataset (NHD), other monitoring areas were approximated using the monitoring point location and the USGS StreamStats tool to depict the watershed area above that point. The areas are intended to represent the approximate extent of sampling within sub-basins, watershed areas, or regions. For example, the spatial extent of monitoring using a fixed count station is approximated by accounting for all anadromous fish habitat upstream of the sampling location. Therefore, the area is approximated by entering the monitoring location coordinates into the StreamStats tool. The resulting shapefile is then examined to ensure the watershed area did not include habitat above dams or barriers to migration. Areas were clipped when needed. The data user should recognize that errors may have occurred during production of this dataset, changes may have occurred to the external sources used post transfer, and for other possible reasons. The population metrics summarized in the associated tabular data may be regarded as spatially limited, temporally limited, and not considered a complete estimate for the population being described. The data user is advised to refer to the annual reports cited in the Source field from the tabular data for additional details regarding monitoring within the area spatially depicted.Abbreviation Definitions: SGS = Spawning Ground Survey, RM = River Mile, RST = Rotary Screw Trap, RKM

Tags: anadromous, authcdfw, california-department-of-fish-and-wildlife, california-monitoring-plan, california-natural-resources-agency, caopendata, cdfw, chinook-salmon, coho-salmon, ds300120240212wm, fixed-count-station, juvenile-outmigration, monitoring-locations, pit-tag-array, population-monitoring, salmonids, snorkel-survey, spawning-survey, steelhead, viable-salmonid-population
Organization: State of California
Ponds by Watershed - ACE [ds2763]

<div style='text-align:Left;'><div><div><p style='margin:0 0 7 0;'><span><span>For more information, see the Aquatic Significant Habitats Factsheet at </span><a href='https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=150855' style='text-decoration:underline;' rel='nofollow ugc'><span>https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=150855</span></a><span>. </span></span></p><p style='margin:0 0 7 0;'><span><span>The California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) is a compilation and analysis of the best-available statewide spatial information in California on biodiversity, rarity and endemism, harvested species, significant habitats, connectivity and wildlife movement, climate vulnerability, climate refugia, and other relevant data (e.g., other conservation priorities such as those identified in the State Wildlife Action Plan (SWAP), stressors, land ownership). ACE addresses both terrestrial and aquatic data. The ACE model combines and analyzes terrestrial information in a 2.5 square mile hexagon grid and aquatic information at the HUC12 watershed level across the state to produce a series of maps for use in non-regulatory evaluation of conservation priorities in California. The model addresses as many of CDFWs statewide conservation and recreational mandates as feasible using high quality data sources. High value areas statewide and in each USDA Ecoregion were identified. The ACE maps and data can be viewed in the ACE online map viewer, or downloaded for use in ArcGIS. For more detailed information see </span></span><a href='https://www.wildlife.ca.gov/Data/Analysis/ACE' style='text-decoration:underline;' rel='nofollow ugc'><span><span>https://www.wildlife.ca.gov/Data/Analysis/ACE</span></span></a><span> and </span><a href='https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=24326' style='text-decoration:underline;' rel='nofollow ugc'><span><span>https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=24326</span></span></a><span>. </span></p></div></div></div>

Tags: ace, amphibian, auth_cdfw, biodiversity, bird, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, ds2763_20250410_wm, endemic, game, mammal, native, plant, rare, rare-natural-community, rarity, reptile, richness, riparian, sensitive-haibtat, terrestrial, wetland
Organization: State of California
Utility Natural Gas Capacity and Generation by Jurisdiction and County: 2021

<span style='font-family:&quot;Avenir Next&quot;, &quot;Avenir Next&quot;; font-size:16px;'>Power plant capacity data and map are from the California Energy Commission. The CEC licenses thermal power plants 50 megawatts (MW) and greater and the infrastructure serving the plants such as electric transmission lines, fuel supply lines, and water pipelines. These licensed plants are referred to as jurisdictional plants. This map depicts the capacity of CEC-licensed(jurisdictional) natural gas power plants and non-jurisdictional natural gas plants. Counties without symbols had no natural gas power plants. Data is from 2021 and is current as of August 23, 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>

Tags: california-energy-commission, california-natural-resources-agency, caopendata, ead
Organization: State of California
Acoustic Bat Survey - Terrestrial Species Stressor Monitoring [ds2825]

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Automated acoustic recorders were deployed at 331 sites across the Mojave Desert ecoregion and 263 sites across the Great Valley ecoregion between March and July of 2016 and 2017. At each survey location, an SM3-BAT bioacoustic recorder was deployed with both an SMM-A1 acoustic microphone and an SMM-U1 ultrasonic microphone (Wildlife Acoustics, Inc., Maynard, MA, USA, hereafter termed ARU). Automated recorders were cable locked to securely-placed T-posts 2 meters above the ground, and were located within 10 meters of the site center at a relatively open spot not occupied by thick vegetation. The ARUs were programmed to record three 5-minute sessions each morning during the survey period, with the first session at 30 minutes before sunrise, the second at sunrise, and the third at 30 minutes after sunrise. The ARUs were also programmed to alternate between 7.5-minute audible acoustic recordings and 22.5-minute triggered, full-spectrum ultrasonic recordings from 30 minutes before sunset until 0400 the following morning, at which time the ultrasonic recordings ceased; the 7.5-minute acoustic recordings continued every 30 minutes until the 5-minute dawn chorus recordings began at 30 minutes before sunrise. Deployments lasted for seven consecutive days, on average. Following the survey, Kaleidoscope Pro version 4.3.2 with the KPro classifier (Wildlife Acoustics, Inc., Maynard, MA, USA) was used to auto-classify file recordings to the species level for bats. Using the probabilistic output from the classifier, files were filtered to retain only those determined to have a misidentification probability less than 0.05. All of the remaining files were then manually reviewed (i.e., examination of diagnostics and spectrograms) to confirm or reject the auto-classified species identification. The automated and post-validated datasets were analyzed using five occupancy modeling frameworks, which differed in how they did or did not address false positive detections.</SPAN></P></DIV></DIV></DIV>

Tags: acoustic, acoustic-survey, amphibian, auth_cdfw, bat, biodiversity, bird, california, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, central-valley, drought, ds2825_20190626_wm, environment, great-valley, mojave-desert, reptile, terrestrial-species-stressor-monitoring, tsm, vegetatio
Organization: State of California
SSWP Water Quality and Temperature

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

Tags: 2426, angeles-tunnel, blue-point-campground, california-department-of-water-resources, department-of-water-resources, dwr, elderberry-forebay, environmental, federal-energy-regulatory-commission, ferc, frenchmans-flat, gorman-bypass-channel, hlpco, hydropower, ilp, integrated, ladwp, lake-piru, los-angeles-department-of-water-and-power, lower-quail-canal, piru, piru-creek, powerplant, pyramid-dam, pyramid-lake, quail-lake, quality, relicensing, south-swp, sswp, study, swp, temperature, vista-del-lago-visitor-center, warne-power-plant, warne-transmission-line, water, water-quality, water-quality-and-temperature, water-temperature
Organization: State of California